working version, before optimalization

GEMINI.md

@@ -0,0 +1,95 @@
+# GEMINI Project Context: Uniswap Auto CLP & Hedger
+
+**Last Updated:** January 6, 2026
+**Project:** Uniswap V3 Automated Concentrated Liquidity (CLP) & Delta-Neutral Hedger
+**Operating System:** Windows (win32)
+
+## 1. Project Overview
+This project is an automated high-frequency trading system designed to:
+1.  **Provide Concentrated Liquidity (CLP):** Automatically manages positions on Uniswap V3 and its forks (Aerodrome, PancakeSwap) to capture trading fees.
+2.  **Hedge Delta Exposure:** Simultaneously executes delta-neutral hedges on Hyperliquid (Perp DEX) to neutralize the price risk of the underlying assets (Impermanent Loss protection).
+
+The system operates as a **Delta-Zero Yield Farmer**, effectively capturing LP fees with reduced market exposure.
+
+## 2. System Architecture
+The system consists of two main independent Python processes that coordinate via a shared JSON state file.
+
+```mermaid
+graph TD
+    A[clp_manager.py] -- Reads/Writes --> C{status.json}
+    B[clp_hedger.py] -- Reads --> C
+    A -- On-Chain Tx --> D[EVM Chain (Base/Arb)]
+    B -- API Calls --> E[Hyperliquid Perp]
+    F[telegram_monitor.py] -- Reads --> C
+    F -- Alerts --> G[Telegram]
+```
+
+### Components
+*   **`clp_manager.py` (The Strategist):**
+    *   **Role:** Active Liquidity Provision on EVM chains.
+    *   **Actions:** Mints new positions, monitors ranges, auto-closes out-of-range positions, collects fees, and handles auto-wrapping/swapping.
+    *   **State:** Updates `{TARGET_DEX}_status.json` with entry price, token amounts, and range details.
+
+*   **`clp_hedger.py` (The Guardian):**
+    *   **Role:** Delta Neutralization on Hyperliquid.
+    *   **Actions:** Calculates the LP's real-time delta. Executes short/long trades to maintain `Net Delta ≈ 0`.
+    *   **Features:**
+        *   **Dynamic Thresholds:** Adjusts rebalance sensitivity based on market volatility (StdDev).
+        *   **Fishing Orders:** Places passive maker orders to capture spread and rebates.
+        *   **Edge Protection:** Reduces hedging logic near range edges to prevent "buying high/selling low".
+
+*   **`clp_config.py`:** Centralized configuration. Uses `TARGET_DEX` env var to switch between profiles (e.g., `UNISWAP_V3`, `AERODROME_BASE_CL`).
+
+## 3. Key Files & Directories
+
+| File/Directory | Description |
+| :--- | :--- |
+| **`clp_manager.py`** | Main entry point for the LP Manager. |
+| **`clp_hedger.py`** | Main entry point for the Delta Hedger. |
+| **`clp_config.py`** | Configuration profiles and strategy settings. |
+| **`requirements.txt`** | Python dependencies (`web3`, `hyperliquid-python-sdk`, `dotenv`). |
+| **`doc/`** | Extensive documentation (`CHANGELOG.md`, `UNISWAP_MANAGER_WORKFLOW.md`). |
+| **`florida/`** | A secondary deployment or research directory containing specific strategy configurations. |
+| **`tools/`** | Utility scripts (e.g., `git_agent.py`, `universal_swapper.py`). |
+| **`logs/`** | Runtime logs. |
+| **`*_status.json`** | The shared state file (IPC). Specific name depends on `TARGET_DEX`. |
+
+## 4. Setup & Usage
+
+### Prerequisites
+*   Python 3.10+
+*   Hyperliquid Account & API Key (in `.env`)
+*   EVM Wallet Private Key (in `.env`)
+*   RPC URLs (in `.env`)
+
+### Installation
+```bash
+pip install -r requirements.txt
+```
+
+### Configuration
+1.  Create a `.env` file (see `.env.example` in `tools/`).
+2.  Edit `clp_config.py` or set `TARGET_DEX` environment variable to choose a profile (e.g., `AERODROME_WETH-USDC_008`).
+
+### Running the System
+You typically run the Manager and Hedger in separate terminals:
+
+**Terminal 1 (Manager):**
+```bash
+python clp_manager.py
+```
+
+**Terminal 2 (Hedger):**
+```bash
+python clp_hedger.py
+```
+
+## 5. Recent Developments (Jan 2026)
+*   **Low Volatility Optimization:** Increased base rebalance thresholds (from 5% to 8%) to reduce churn in sideways markets.
+*   **Fishing Orders:** Implemented passive limit orders to profit from rebalancing.
+*   **Shadow Logging:** The system now logs "Shadow" trades to simulate maker order performance vs taker execution.
+*   **Dynamic Edge Proximity:** Safety buffers now scale with position size.
+
+## 6. Active Context
+*   **Current Profile:** The root directory contains `AERODROME_WETH-USDC_008_status.json`, indicating an active or recent session on **Aerodrome (Base Chain)**.
+*   **Workflows:** Refer to `doc/UNISWAP_MANAGER_WORKFLOW.md` for detailed state machine logic of the Manager.

clp_abis.py

@@ -0,0 +1,82 @@
+import json
+
+NONFUNGIBLE_POSITION_MANAGER_ABI = json.loads('''
+[
+    {"anonymous": false, "inputs": [{"indexed": true, "internalType": "uint256", "name": "tokenId", "type": "uint256"}, {"indexed": false, "internalType": "uint128", "name": "liquidity", "type": "uint128"}, {"indexed": false, "internalType": "uint256", "name": "amount0", "type": "uint256"}, {"indexed": false, "internalType": "uint256", "name": "amount1", "type": "uint256"}], "name": "IncreaseLiquidity", "type": "event"},
+    {"anonymous": false, "inputs": [{"indexed": true, "internalType": "address", "name": "from", "type": "address"}, {"indexed": true, "internalType": "address", "name": "to", "type": "address"}, {"indexed": true, "internalType": "uint256", "name": "tokenId", "type": "uint256"}], "name": "Transfer", "type": "event"},
+    {"inputs": [], "name": "factory", "outputs": [{"internalType": "address", "name": "", "type": "address"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [{"internalType": "uint256", "name": "tokenId", "type": "uint256"}], "name": "positions", "outputs": [{"internalType": "uint96", "name": "nonce", "type": "uint96"}, {"internalType": "address", "name": "operator", "type": "address"}, {"internalType": "address", "name": "token0", "type": "address"}, {"internalType": "address", "name": "token1", "type": "address"}, {"internalType": "uint24", "name": "fee", "type": "uint24"}, {"internalType": "int24", "name": "tickLower", "type": "int24"}, {"internalType": "int24", "name": "tickUpper", "type": "int24"}, {"internalType": "uint128", "name": "liquidity", "type": "uint128"}, {"internalType": "uint256", "name": "feeGrowthInside0LastX128", "type": "uint256"}, {"internalType": "uint256", "name": "feeGrowthInside1LastX128", "type": "uint256"}, {"internalType": "uint128", "name": "tokensOwed0", "type": "uint128"}, {"internalType": "uint128", "name": "tokensOwed1", "type": "uint128"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [{"components": [{"internalType": "uint256", "name": "tokenId", "type": "uint256"}, {"internalType": "address", "name": "recipient", "type": "address"}, {"internalType": "uint128", "name": "amount0Max", "type": "uint128"}, {"internalType": "uint128", "name": "amount1Max", "type": "uint128"}], "internalType": "struct INonfungiblePositionManager.CollectParams", "name": "params", "type": "tuple"}], "name": "collect", "outputs": [{"internalType": "uint256", "name": "amount0", "type": "uint256"}, {"internalType": "uint256", "name": "amount1", "type": "uint256"}], "stateMutability": "payable", "type": "function"},
+    {"inputs": [{"components": [{"internalType": "uint256", "name": "tokenId", "type": "uint256"}, {"internalType": "uint128", "name": "liquidity", "type": "uint128"}, {"internalType": "uint256", "name": "amount0Min", "type": "uint256"}, {"internalType": "uint256", "name": "amount1Min", "type": "uint256"}, {"internalType": "uint256", "name": "deadline", "type": "uint256"}], "internalType": "struct INonfungiblePositionManager.DecreaseLiquidityParams", "name": "params", "type": "tuple"}], "name": "decreaseLiquidity", "outputs": [{"internalType": "uint256", "name": "amount0", "type": "uint256"}, {"internalType": "uint256", "name": "amount1", "type": "uint256"}], "stateMutability": "payable", "type": "function"},
+    {"inputs": [{"components": [{"internalType": "address", "name": "token0", "type": "address"}, {"internalType": "address", "name": "token1", "type": "address"}, {"internalType": "uint24", "name": "fee", "type": "uint24"}, {"internalType": "int24", "name": "tickLower", "type": "int24"}, {"internalType": "int24", "name": "tickUpper", "type": "int24"}, {"internalType": "uint256", "name": "amount0Desired", "type": "uint256"}, {"internalType": "uint256", "name": "amount1Desired", "type": "uint256"}, {"internalType": "uint256", "name": "amount0Min", "type": "uint256"}, {"internalType": "uint256", "name": "amount1Min", "type": "uint256"}, {"internalType": "address", "name": "recipient", "type": "address"}, {"internalType": "uint256", "name": "deadline", "type": "uint256"}], "internalType": "struct INonfungiblePositionManager.MintParams", "name": "params", "type": "tuple"}], "name": "mint", "outputs": [{"internalType": "uint256", "name": "tokenId", "type": "uint256"}, {"internalType": "uint128", "name": "liquidity", "type": "uint128"}, {"internalType": "uint256", "name": "amount0", "type": "uint256"}, {"internalType": "uint256", "name": "amount1", "type": "uint256"}], "stateMutability": "payable", "type": "function"}
+]
+''')
+
+UNISWAP_V3_POOL_ABI = json.loads('''
+[
+    {"inputs": [], "name": "slot0", "outputs": [{"internalType": "uint160", "name": "sqrtPriceX96", "type": "uint160"}, {"internalType": "int24", "name": "tick", "type": "int24"}, {"internalType": "uint16", "name": "observationIndex", "type": "uint16"}, {"internalType": "uint16", "name": "observationCardinality", "type": "uint16"}, {"internalType": "uint16", "name": "observationCardinalityNext", "type": "uint16"}, {"internalType": "uint32", "name": "feeProtocol", "type": "uint32"}, {"internalType": "bool", "name": "unlocked", "type": "bool"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "token0", "outputs": [{"internalType": "address", "name": "", "type": "address"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "token1", "outputs": [{"internalType": "address", "name": "", "type": "address"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "fee", "outputs": [{"internalType": "uint24", "name": "", "type": "uint24"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "tickSpacing", "outputs": [{"internalType": "int24", "name": "", "type": "int24"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "liquidity", "outputs": [{"internalType": "uint128", "name": "", "type": "uint128"}], "stateMutability": "view", "type": "function"}
+]
+''')
+
+ERC20_ABI = json.loads('''
+[
+    {"inputs": [], "name": "decimals", "outputs": [{"internalType": "uint8", "name": "", "type": "uint8"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "symbol", "outputs": [{"internalType": "string", "name": "", "type": "string"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [{"internalType": "address", "name": "account", "type": "address"}], "name": "balanceOf", "outputs": [{"internalType": "uint256", "name": "", "type": "uint256"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [{"internalType": "address", "name": "spender", "type": "address"}, {"internalType": "uint256", "name": "amount", "type": "uint256"}], "name": "approve", "outputs": [{"internalType": "bool", "name": "", "type": "bool"}], "stateMutability": "nonpayable", "type": "function"},
+    {"inputs": [{"internalType": "address", "name": "owner", "type": "address"}, {"internalType": "address", "name": "spender", "type": "address"}], "name": "allowance", "outputs": [{"internalType": "uint256", "name": "", "type": "uint256"}], "stateMutability": "view", "type": "function"}
+]
+''')
+
+UNISWAP_V3_FACTORY_ABI = json.loads('''
+[
+    {"inputs": [{"internalType": "address", "name": "tokenA", "type": "address"}, {"internalType": "address", "name": "tokenB", "type": "address"}, {"internalType": "uint24", "name": "fee", "type": "uint24"}], "name": "getPool", "outputs": [{"internalType": "address", "name": "pool", "type": "address"}], "stateMutability": "view", "type": "function"}
+]
+''')
+
+AERODROME_FACTORY_ABI = json.loads('''
+[
+    {"inputs": [{"internalType": "address", "name": "tokenA", "type": "address"}, {"internalType": "address", "name": "tokenB", "type": "address"}, {"internalType": "int24", "name": "tickSpacing", "type": "int24"}], "name": "getPool", "outputs": [{"internalType": "address", "name": "pool", "type": "address"}], "stateMutability": "view", "type": "function"}
+]
+''')
+
+AERODROME_NPM_ABI = json.loads('''
+[
+    {"anonymous": false, "inputs": [{"indexed": true, "internalType": "uint256", "name": "tokenId", "type": "uint256"}, {"indexed": false, "internalType": "uint128", "name": "liquidity", "type": "uint128"}, {"indexed": false, "internalType": "uint256", "name": "amount0", "type": "uint256"}, {"indexed": false, "internalType": "uint256", "name": "amount1", "type": "uint256"}], "name": "IncreaseLiquidity", "type": "event"},
+    {"anonymous": false, "inputs": [{"indexed": true, "internalType": "address", "name": "from", "type": "address"}, {"indexed": true, "internalType": "address", "name": "to", "type": "address"}, {"indexed": true, "internalType": "uint256", "name": "tokenId", "type": "uint256"}], "name": "Transfer", "type": "event"},
+    {"inputs": [], "name": "factory", "outputs": [{"internalType": "address", "name": "", "type": "address"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [{"internalType": "uint256", "name": "tokenId", "type": "uint256"}], "name": "positions", "outputs": [{"internalType": "uint96", "name": "nonce", "type": "uint96"}, {"internalType": "address", "name": "operator", "type": "address"}, {"internalType": "address", "name": "token0", "type": "address"}, {"internalType": "address", "name": "token1", "type": "address"}, {"internalType": "int24", "name": "tickSpacing", "type": "int24"}, {"internalType": "int24", "name": "tickLower", "type": "int24"}, {"internalType": "int24", "name": "tickUpper", "type": "int24"}, {"internalType": "uint128", "name": "liquidity", "type": "uint128"}, {"internalType": "uint256", "name": "feeGrowthInside0LastX128", "type": "uint256"}, {"internalType": "uint256", "name": "feeGrowthInside1LastX128", "type": "uint256"}, {"internalType": "uint128", "name": "tokensOwed0", "type": "uint128"}, {"internalType": "uint128", "name": "tokensOwed1", "type": "uint128"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [{"components": [{"internalType": "uint256", "name": "tokenId", "type": "uint256"}, {"internalType": "address", "name": "recipient", "type": "address"}, {"internalType": "uint128", "name": "amount0Max", "type": "uint128"}, {"internalType": "uint128", "name": "amount1Max", "type": "uint128"}], "internalType": "struct INonfungiblePositionManager.CollectParams", "name": "params", "type": "tuple"}], "name": "collect", "outputs": [{"internalType": "uint256", "name": "amount0", "type": "uint256"}, {"internalType": "uint256", "name": "amount1", "type": "uint256"}], "stateMutability": "payable", "type": "function"},
+    {"inputs": [{"components": [{"internalType": "uint256", "name": "tokenId", "type": "uint256"}, {"internalType": "uint128", "name": "liquidity", "type": "uint128"}, {"internalType": "uint256", "name": "amount0Min", "type": "uint256"}, {"internalType": "uint256", "name": "amount1Min", "type": "uint256"}, {"internalType": "uint256", "name": "deadline", "type": "uint256"}], "internalType": "struct INonfungiblePositionManager.DecreaseLiquidityParams", "name": "params", "type": "tuple"}], "name": "decreaseLiquidity", "outputs": [{"internalType": "uint256", "name": "amount0", "type": "uint256"}, {"internalType": "uint256", "name": "amount1", "type": "uint256"}], "stateMutability": "payable", "type": "function"},
+    {"inputs": [{"components": [{"internalType": "address", "name": "token0", "type": "address"}, {"internalType": "address", "name": "token1", "type": "address"}, {"internalType": "int24", "name": "tickSpacing", "type": "int24"}, {"internalType": "int24", "name": "tickLower", "type": "int24"}, {"internalType": "int24", "name": "tickUpper", "type": "int24"}, {"internalType": "uint256", "name": "amount0Desired", "type": "uint256"}, {"internalType": "uint256", "name": "amount1Desired", "type": "uint256"}, {"internalType": "uint256", "name": "amount0Min", "type": "uint256"}, {"internalType": "uint256", "name": "amount1Min", "type": "uint256"}, {"internalType": "address", "name": "recipient", "type": "address"}, {"internalType": "uint256", "name": "deadline", "type": "uint256"}, {"internalType": "uint160", "name": "sqrtPriceX96", "type": "uint160"}], "internalType": "struct INonfungiblePositionManager.MintParams", "name": "params", "type": "tuple"}], "name": "mint", "outputs": [{"internalType": "uint256", "name": "tokenId", "type": "uint256"}, {"internalType": "uint128", "name": "liquidity", "type": "uint128"}, {"internalType": "uint256", "name": "amount0", "type": "uint256"}, {"internalType": "uint256", "name": "amount1", "type": "uint256"}], "stateMutability": "payable", "type": "function"}
+]
+''')
+
+AERODROME_POOL_ABI = json.loads('''
+[
+    {"inputs": [], "name": "slot0", "outputs": [{"internalType": "uint160", "name": "sqrtPriceX96", "type": "uint160"}, {"internalType": "int24", "name": "tick", "type": "int24"}, {"internalType": "uint16", "name": "observationIndex", "type": "uint16"}, {"internalType": "uint16", "name": "observationCardinality", "type": "uint16"}, {"internalType": "uint16", "name": "observationCardinalityNext", "type": "uint16"}, {"internalType": "bool", "name": "unlocked", "type": "bool"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "token0", "outputs": [{"internalType": "address", "name": "", "type": "address"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "token1", "outputs": [{"internalType": "address", "name": "", "type": "address"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "fee", "outputs": [{"internalType": "uint24", "name": "", "type": "uint24"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "tickSpacing", "outputs": [{"internalType": "int24", "name": "", "type": "int24"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "liquidity", "outputs": [{"internalType": "uint128", "name": "", "type": "uint128"}], "stateMutability": "view", "type": "function"}
+]
+''')
+
+SWAP_ROUTER_ABI = json.loads('''
+[
+    {"inputs": [{"components": [{"internalType": "address", "name": "tokenIn", "type": "address"}, {"internalType": "address", "name": "tokenOut", "type": "address"}, {"internalType": "uint24", "name": "fee", "type": "uint24"}, {"internalType": "address", "name": "recipient", "type": "address"}, {"internalType": "uint256", "name": "deadline", "type": "uint256"}, {"internalType": "uint256", "name": "amountIn", "type": "uint256"}, {"internalType": "uint256", "name": "amountOutMinimum", "type": "uint256"}, {"internalType": "uint160", "name": "sqrtPriceLimitX96", "type": "uint160"}], "internalType": "struct ISwapRouter.ExactInputSingleParams", "name": "params", "type": "tuple"}], "name": "exactInputSingle", "outputs": [{"internalType": "uint256", "name": "amountOut", "type": "uint256"}], "stateMutability": "payable", "type": "function"}
+]
+''')
+
+WETH9_ABI = json.loads('''
+[
+    {"constant": false, "inputs": [], "name": "deposit", "outputs": [], "payable": true, "stateMutability": "payable", "type": "function"},
+    {"constant": false, "inputs": [{"name": "wad", "type": "uint256"}], "name": "withdraw", "outputs": [], "payable": false, "stateMutability": "nonpayable", "type": "function"}
+]
+''')

clp_config.py

@@ -8,7 +8,9 @@ STATUS_FILE = os.environ.get("STATUS_FILE", f"{TARGET_DEX}_status.json")
 
 # --- DEFAULT STRATEGY ---
 DEFAULT_STRATEGY = {
-    "MONITOR_INTERVAL_SECONDS": 60,                             # How often the Manager checks for range status
+    "MONITOR_INTERVAL_SECONDS": 300,                            # Manager loop & sync interval
+    "LOG_INTERVAL_SECONDS": 300,                                # Hedger console logging interval
+    "RANGE_MODE": "AUTO",                                       # Options: "AUTO" (BB-based), "FIXED" (RANGE_WIDTH_PCT)
     "CLOSE_POSITION_ENABLED": True,                             # Allow the bot to automatically close out-of-range positions
     "OPEN_POSITION_ENABLED": True,                              # Allow the bot to automatically open new positions
     "REBALANCE_ON_CLOSE_BELOW_RANGE": True,                     # Strategy flag for specific closing behavior
@@ -19,21 +21,22 @@ DEFAULT_STRATEGY = {
     "VALUE_REFERENCE": "USD",                                   # Base currency for all calculations
      
     # Range Settings
-    "RANGE_WIDTH_PCT": Decimal("0.01"),                         # LP width (e.g. 0.05 = +/- 5% from current price)
+    "RANGE_WIDTH_PCT": Decimal("0.03"),                         # LP width (e.g. 0.05 = +/- 5% from current price)
-    "SLIPPAGE_TOLERANCE": Decimal("0.02"),                      # Max allowed slippage for swaps and minting
+    "SLIPPAGE_TOLERANCE": Decimal("0.05"),                      # Max allowed slippage for swaps and minting
     "TRANSACTION_TIMEOUT_SECONDS": 30,                          # Timeout for blockchain transactions
                         
     # Hedging Settings                  
+    "HEDGE_STRATEGY": "ASYMMETRIC",                             # Options: "STANDARD" (Full Range Hedge), "ASYMMETRIC" (Edge-Only Reduction), "FIXED" (Initial Delta)
     "MIN_HEDGE_THRESHOLD": Decimal("0.012"),                    # Minimum delta change (in coins) required to trigger a trade
     
     # Unified Hedger Settings
-    "CHECK_INTERVAL": 1,                                        # Loop speed for the hedger (seconds)
+
     "LEVERAGE": 5,                                              # Leverage to use on Hyperliquid
     "ZONE_BOTTOM_HEDGE_LIMIT": Decimal("1.0"),                  # Multiplier limit at the bottom of the range
     "ZONE_CLOSE_START": Decimal("10.0"),                        # Distance (pct) from edge to start closing logic
     "ZONE_CLOSE_END": Decimal("11.0"),                          # Distance (pct) from edge to finish closing logic
     "ZONE_TOP_HEDGE_START": Decimal("10.0"),                    # Distance (pct) from top edge to adjust hedging
-    "PRICE_BUFFER_PCT": Decimal("0.0015"),                      # Buffer for limit order pricing (0.15%)
+    "PRICE_BUFFER_PCT": Decimal("0.0025"),                      # Buffer for limit order pricing (0.15%)
     "MIN_ORDER_VALUE_USD": Decimal("10.0"),                     # Minimum order size allowed by Hyperliquid
     "DYNAMIC_THRESHOLD_MULTIPLIER": Decimal("1.2"),             # Expansion factor for thresholds
     "MIN_TIME_BETWEEN_TRADES": 60,                              # Cooldown (seconds) between rebalance trades
@@ -45,7 +48,7 @@ DEFAULT_STRATEGY = {
     "POSITION_CLOSED_EDGE_PROXIMITY_PCT": Decimal("0.025"),     # Safety margin for closing positions
     "LARGE_HEDGE_MULTIPLIER": Decimal("5.0"),                   # Multiplier to bypass trade cooldown for big moves
     "ENABLE_EDGE_CLEANUP": True,                                # Force rebalances when price is at range boundaries
-    "EDGE_CLEANUP_MARGIN_PCT": Decimal("0.02"),                 # % of range width used for edge detection
+    "EDGE_CLEANUP_MARGIN_PCT": Decimal("0.03"),                 # % of range width used for edge detection
     "MAKER_ORDER_TIMEOUT": 600,                                 # Timeout for resting Maker orders (seconds)
     "SHADOW_ORDER_TIMEOUT": 600,                                # Timeout for theoretical shadow order tracking
     "ENABLE_FISHING": False,                                    # Use passive maker orders for rebalancing (advanced)
@@ -72,6 +75,9 @@ CLP_PROFILES = {
         "TOKEN_B_ADDRESS": "0xaf88d065e77c8cC2239327C5EDb3A432268e5831", # USDC
         "WRAPPED_NATIVE_ADDRESS": "0x82aF49447D8a07e3bd95BD0d56f35241523fBab1",
         "POOL_FEE": 500,
+        "TARGET_INVESTMENT_AMOUNT": 3000,
+        "HEDGE_STRATEGY": "FIXED",
+        "RANGE_WIDTH_PCT": Decimal("0.0075"), 
     },
     "UNISWAP_wide": {
         "NAME": "Uniswap V3 (Arbitrum) - ETH/USDC Wide",
@@ -98,6 +104,7 @@ CLP_PROFILES = {
         "TOKEN_B_ADDRESS": "0x55d398326f99059fF775485246999027B3197955", # USDT
         "WRAPPED_NATIVE_ADDRESS": "0xbb4CdB9CBd36B01bD1cBaEBF2De08d9173bc095c",
         "POOL_FEE": 100,
+        "EDGE_CLEANUP_MARGIN_PCT": Decimal("0.1875"),                 # 0.1875 only for asymmetric shedge % of range width used for edge detection
         "RANGE_WIDTH_PCT": Decimal("0.004"), 
         "TARGET_INVESTMENT_AMOUNT": 1000,
         "MIN_HEDGE_THRESHOLD": Decimal("0.015"),            
@@ -123,6 +130,34 @@ CLP_PROFILES = {
         "TARGET_INVESTMENT_AMOUNT": 200,
         "VALUE_REFERENCE": "USD",
         "RANGE_WIDTH_PCT": Decimal("0.10")
+    },
+    "AERODROME_BASE_CL": {
+        "NAME": "Aerodrome SlipStream (Base) - WETH/USDC",
+        "COIN_SYMBOL": "ETH",
+        "RPC_ENV_VAR": "BASE_RPC_URL",
+        "NPM_ADDRESS": "0x827922686190790b37229fd06084350E74485b72",
+        "ROUTER_ADDRESS": "0xcF77a3Ba9A5CA399B7c97c74d54e5b1Beb874E43",
+        "TOKEN_A_ADDRESS": "0x4200000000000000000000000000000000000006", # WETH
+        "TOKEN_B_ADDRESS": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", # USDC
+        "WRAPPED_NATIVE_ADDRESS": "0x4200000000000000000000000000000000000006",
+        "POOL_FEE": 100, # TickSpacing 100 pool (0xb2cc...)
+        "RANGE_WIDTH_PCT": Decimal("0.075"), 
+        "TARGET_INVESTMENT_AMOUNT": 200,
+        "HEDGE_STRATEGY": "FIXED",
+    },
+    "AERODROME_WETH-USDC_008": {
+        "NAME": "Aerodrome SlipStream (Base) - WETH/USDC Stable",
+        "COIN_SYMBOL": "ETH",
+        "RPC_ENV_VAR": "BASE_RPC_URL",
+        "NPM_ADDRESS": "0x827922686190790b37229fd06084350E74485b72",
+        "ROUTER_ADDRESS": "0xcF77a3Ba9A5CA399B7c97c74d54e5b1Beb874E43",
+        "TOKEN_A_ADDRESS": "0x4200000000000000000000000000000000000006", # WETH
+        "TOKEN_B_ADDRESS": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", # USDC
+        "WRAPPED_NATIVE_ADDRESS": "0x4200000000000000000000000000000000000006",
+        "POOL_FEE": 1, # TickSpacing 1 pool (0xdbc6...)
+        "RANGE_WIDTH_PCT": Decimal("0.0075"), 
+        "TARGET_INVESTMENT_AMOUNT": 3000,
+        "HEDGE_STRATEGY": "FIXED",
     }
 }
 

clp_hedger.py

@@ -14,20 +14,15 @@ current_dir = os.path.dirname(os.path.abspath(__file__))
 project_root = os.path.dirname(current_dir)
 sys.path.append(project_root)
 
-# Import local modules
+# Ensure root logger is clean
-try:
+logging.getLogger().handlers.clear()
-    from logging_utils import setup_logging
+logging.basicConfig(level=logging.INFO)
-except ImportError:
-    setup_logging = None
-    # Ensure root logger is clean if we can't use setup_logging
-    logging.getLogger().handlers.clear()
-    logging.basicConfig(level=logging.INFO)
 
 from eth_account import Account
 from hyperliquid.exchange import Exchange
 from hyperliquid.info import Info
 from hyperliquid.utils import constants
-from clp_config import CLP_PROFILES, DEFAULT_STRATEGY
+from clp_config import CLP_PROFILES, DEFAULT_STRATEGY, TARGET_DEX
 
 # Load environment variables
 dotenv_path = os.path.join(current_dir, '.env')
@@ -213,7 +208,7 @@ class HyperliquidStrategy:
         else:  # >=5% range
             return Decimal("0.075")  # Standard for wide ranges
 
-    def calculate_rebalance(self, current_price: Decimal, current_short_size: Decimal) -> Dict:
+    def calculate_rebalance(self, current_price: Decimal, current_short_size: Decimal, strategy_type: str = "ASYMMETRIC") -> Dict:
         # Note: current_short_size here is virtual (just for this specific strategy), 
         # but the unified hedger will use the 'target_short' output primarily.
         
@@ -221,17 +216,33 @@ class HyperliquidStrategy:
         
         # --- ASYMMETRIC COMPENSATION ---
         adj_pct = Decimal("0.0")
-        range_width = self.high_range - self.low_range
         
-        if range_width > 0:
+        if strategy_type == "ASYMMETRIC":
-            dist = current_price - self.entry_price
+            range_width = self.high_range - self.low_range
-            half_width = range_width / Decimal("2")
+            
-            norm_dist = dist / half_width
+            if range_width > 0:
-            max_boost = self.get_compensation_boost()
+                dist = current_price - self.entry_price
-            adj_pct = -norm_dist * max_boost
+                half_width = range_width / Decimal("2")
-            adj_pct = max(-max_boost, min(max_boost, adj_pct))
+                norm_dist = dist / half_width
+                max_boost = self.get_compensation_boost()
+                adj_pct = -norm_dist * max_boost
+                adj_pct = max(-max_boost, min(max_boost, adj_pct))
+            
+        # --- FIXED STRATEGY LOGIC ---
+        if strategy_type == "FIXED":
+            # Target is exactly the pool delta at entry price
+            raw_target_short = self.get_pool_delta(self.entry_price)
+            adj_pct = Decimal("0")
+        elif strategy_type == "BOTTOM":
+            if current_price > self.entry_price:
+                # Disable hedging in upper half
+                raw_target_short = Decimal("0")
+                adj_pct = Decimal("0")
+            else:
+                # Enable hedging in lower half (standard delta)
+                # No asymmetric boost applied
+                adj_pct = Decimal("0")
 
-        raw_target_short = pool_delta
         adjusted_target_short = raw_target_short * (Decimal("1.0") + adj_pct)
         
         diff = adjusted_target_short - abs(current_short_size)
@@ -273,12 +284,23 @@ class UnifiedHedger:
         
         # Market Data Cache
         self.last_prices = {}
-        self.price_history = {} # Symbol -> List[Decimal]
+        self.price_history = {} # Symbol -> List[Decimal] (Fast: 1s samples)
         self.last_trade_times = {} # Symbol -> timestamp
+        self.last_idle_log_times = {} # Symbol -> timestamp
         
         # Shadow Orders (Global List)
         self.shadow_orders = [] 
         
+        # State: Emergency Close Hysteresis
+        # Map: (file_path, token_id) -> bool
+        self.emergency_close_active = {} 
+        
+        # Map: (file_path, token_id) -> Decimal (Locked hedge size)
+        self.custom_fixed_targets = {}
+        
+        # Map: (file_path, token_id) -> Decimal (Price when hedge leg opened)
+        self.hedge_entry_prices = {}
+        
         self.startup_time = time.time()
 
         logger.info(f"[CLP_HEDGER] Master Hedger initialized. Agent: {self.account.address}")
@@ -286,6 +308,7 @@ class UnifiedHedger:
 
     def _init_coin_configs(self):
         """Pre-load configuration for known coins from CLP_PROFILES."""
+        # 1. Load all profiles (order depends on dict iteration)
         for profile_key, profile_data in CLP_PROFILES.items():
             symbol = profile_data.get("COIN_SYMBOL")
             if symbol:
@@ -297,6 +320,18 @@ class UnifiedHedger:
                 # Update with Profile Specifics
                 self.coin_configs[symbol].update(profile_data)
 
+        # 2. Force overwrite with TARGET_DEX profile to ensure precedence
+        target_profile = CLP_PROFILES.get(TARGET_DEX)
+        if target_profile:
+            symbol = target_profile.get("COIN_SYMBOL")
+            if symbol:
+                if symbol not in self.coin_configs:
+                     self.coin_configs[symbol] = DEFAULT_STRATEGY.copy()
+                     self.coin_configs[symbol]["sz_decimals"] = 4
+                
+                logger.info(f"Overwriting config for {symbol} using TARGET_DEX: {TARGET_DEX}")
+                self.coin_configs[symbol].update(target_profile)
+
     def _get_sz_decimals(self, coin: str) -> int:
         try:
             meta = self.info.meta()
@@ -427,6 +462,7 @@ class UnifiedHedger:
                                 self.strategy_states[key]['pnl'] = to_decimal(entry.get('hedge_pnl_realized', 0))
                                 self.strategy_states[key]['fees'] = to_decimal(entry.get('hedge_fees_paid', 0))
                                 self.strategy_states[key]['status'] = entry.get('status', 'OPEN')
+                                self.strategy_states[key]['clp_fees'] = to_decimal(entry.get('clp_fees', 0))
                         
             except Exception as e:
                 logger.error(f"Error reading {filename}: {e}. Skipping updates.")
@@ -478,12 +514,23 @@ class UnifiedHedger:
                 "start_time": start_time_ms,
                 "pnl": to_decimal(position_data.get('hedge_pnl_realized', 0)),
                 "fees": to_decimal(position_data.get('hedge_fees_paid', 0)),
+                "clp_fees": to_decimal(position_data.get('clp_fees', 0)),
                 "hedge_TotPnL": to_decimal(position_data.get('hedge_TotPnL', 0)), # NEW: Total Closed PnL
                 "entry_price": entry_price, # Store for fishing logic
                 "status": position_data.get('status', 'OPEN')
             }
+            
+            # Initial hedge entry price is the CLP entry price
+            self.hedge_entry_prices[key] = entry_price
+            
             logger.info(f"[STRAT] Init {key[1]} ({coin_symbol}) | Range: {lower}-{upper}")
             
+            # Ensure JSON has these fields initialized
+            update_position_stats(key[0], key[1], {
+                "hedge_TotPnL": float(self.strategy_states[key]['hedge_TotPnL']),
+                "hedge_fees_paid": float(self.strategy_states[key]['fees'])
+            })
+            
         except Exception as e:
             logger.error(f"Failed to init strategy {key[1]}: {e}")
 
@@ -652,7 +699,7 @@ class UnifiedHedger:
                         price = to_decimal(mids[coin])
                         self.last_prices[coin] = price
                         
-                        # Update Price History
+                        # Update Price History (Fast)
                         if coin not in self.price_history: self.price_history[coin] = []
                         self.price_history[coin].append(price)
                         if len(self.price_history[coin]) > 300: self.price_history[coin].pop(0)
@@ -663,19 +710,60 @@ class UnifiedHedger:
                     if coin not in self.last_prices: continue
                     price = self.last_prices[coin]
 
+                    # Get Config & Strategy Type
+                    config = self.coin_configs.get(coin, {})
+                    strategy_type = config.get("HEDGE_STRATEGY", "ASYMMETRIC")
+
                     # Calc Logic
-                    calc = strat.calculate_rebalance(price, Decimal("0"))
+                    calc = strat.calculate_rebalance(price, Decimal("0"), strategy_type)
                     
                     if coin not in aggregates:
-                        aggregates[coin] = {'target_short': Decimal("0"), 'contributors': 0, 'is_at_edge': False, 'adj_pct': Decimal("0"), 'is_closing': False}
+                        aggregates[coin] = {'target_short': Decimal("0"), 'contributors': 0, 'is_at_edge': False, 'is_at_bottom_edge': False, 'adj_pct': Decimal("0"), 'is_closing': False}
                     
-                    if status == 'CLOSING':
+                    # --- EMERGENCY UPPER EDGE CLOSING (HYSTERESIS) ---
-                         # If Closing, we want target to be 0 for this strategy
+                    # Logic: If price hits Top, close hedge. Do NOT re-open until price drops back to 75% of Range (FIXED) or Buffer (Others).
-                         logger.info(f"[STRAT] {key[1]} is CLOSING -> Force Target 0")
+                    
+                    is_active_hysteresis = self.emergency_close_active.get(key, False)
+                    
+                    if is_active_hysteresis:
+                        # CHECK RESET CONDITION
+                        if strategy_type == "FIXED":
+                            # Reset at 75% of range (from Bottom)
+                            range_width = strat.high_range - strat.low_range
+                            reset_threshold = strat.low_range + (range_width * Decimal("0.75"))
+                        else:
+                            reset_threshold = strat.high_range * Decimal("0.999")
+                            
+                        if price < reset_threshold:
+                            logger.info(f"[STRAT] {key[1]} Price reset ({price:.2f} < {reset_threshold:.2f}). Resuming hedge.")
+                            self.emergency_close_active[key] = False
+                            is_active_hysteresis = False
+                            
+                            # Capture NEW Dynamic Fixed Target and Entry Price
+                            if strategy_type == "FIXED":
+                                dynamic_delta = strat.get_pool_delta(price)
+                                self.custom_fixed_targets[key] = dynamic_delta
+                                self.hedge_entry_prices[key] = price
+                                logger.info(f"[STRAT] {key[1]} FIXED target reset to Dynamic Delta: {dynamic_delta:.4f} @ {price:.2f}")
+                    
+                    if not is_active_hysteresis:
+                        # CHECK TRIGGER CONDITION
+                        if price >= strat.high_range:
+                            logger.warning(f"[STRAT] {key[1]} above High Range ({price:.2f} >= {strat.high_range:.2f}). Emergency closing hedge.")
+                            self.emergency_close_active[key] = True
+                            is_active_hysteresis = True
+                            # Reset entry price when closed
+                            self.hedge_entry_prices[key] = Decimal("0")
+
+                    if status == 'CLOSING' or is_active_hysteresis:
+                         # If Closing OR Hysteresis Active, target is 0
                          aggregates[coin]['is_closing'] = True
-                         # Do not add to target_short
                     else:
-                        aggregates[coin]['target_short'] += calc['target_short']
+                        # Use custom fixed target if exists, else standard calc
+                        if strategy_type == "FIXED" and key in self.custom_fixed_targets:
+                            aggregates[coin]['target_short'] += self.custom_fixed_targets[key]
+                        else:
+                            aggregates[coin]['target_short'] += calc['target_short']
                     
                     aggregates[coin]['contributors'] += 1
                     aggregates[coin]['adj_pct'] = calc['adj_pct']
@@ -693,6 +781,8 @@ class UnifiedHedger:
                         
                         if dist_bottom_pct < safety_margin_pct or dist_top_pct < safety_margin_pct:
                             aggregates[coin]['is_at_edge'] = True
+                            if dist_bottom_pct < safety_margin_pct:
+                                aggregates[coin]['is_at_bottom_edge'] = True
 
                 # Check Shadow Orders (Pre-Execution)
                 self.check_shadow_orders(l2_snapshots)
@@ -706,255 +796,256 @@ class UnifiedHedger:
                 for coin in coins_to_process:
                     data = aggregates.get(coin, {'target_short': Decimal("0"), 'contributors': 0, 'is_at_edge': False, 'adj_pct': Decimal("0"), 'is_closing': False})
                     
-                    price = self.last_prices.get(coin, Decimal("0")) # FIX: Explicitly get price for this coin
+                    price = self.last_prices.get(coin, Decimal("0"))
                     if price == 0: continue
 
-                    target_short_abs = data['target_short'] # Always positive (it's a magnitude of short)
+                    target_short_abs = data['target_short']
-                    target_position = -target_short_abs # We want to be Short, so negative size
+                    target_position = -target_short_abs
-                    
                     current_pos = current_positions.get(coin, Decimal("0"))
-                    
+                    diff = target_position - current_pos
-                    diff = target_position - current_pos # e.g. -1.0 - (-0.8) = -0.2 (Sell 0.2)
                     diff_abs = abs(diff)
                     
                     # Thresholds
                     config = self.coin_configs.get(coin, {})
-                    min_thresh = config.get("min_threshold", Decimal("0.008"))
+                    min_thresh = config.get("MIN_HEDGE_THRESHOLD", Decimal("0.008"))
-                    
-                    # Volatility Multiplier
                     vol_pct = self.calculate_volatility(coin)
                     base_vol = Decimal("0.0005")
                     vol_mult = max(Decimal("1.0"), min(Decimal("3.0"), vol_pct / base_vol)) if vol_pct > 0 else Decimal("1.0")
-                    
                     base_rebalance_pct = config.get("BASE_REBALANCE_THRESHOLD_PCT", Decimal("0.20"))
                     thresh_pct = min(Decimal("0.15"), base_rebalance_pct * vol_mult)
                     dynamic_thresh = max(min_thresh, abs(target_position) * thresh_pct)
                     
-                    # FORCE EDGE CLEANUP
+                    if data['is_at_edge'] and config.get("ENABLE_EDGE_CLEANUP", True):
-                    enable_edge_cleanup = config.get("ENABLE_EDGE_CLEANUP", True)
+                         if dynamic_thresh > min_thresh: dynamic_thresh = min_thresh
-                    if data['is_at_edge'] and enable_edge_cleanup:
-                         if dynamic_thresh > min_thresh:
-                             # logger.info(f"[EDGE] {coin} forced to min threshold.")
-                             dynamic_thresh = min_thresh
 
-                    # Check Trigger
                     action_needed = diff_abs > dynamic_thresh
-                    
-                    # Determine Intent (Moved UP for Order Logic)
                     is_buy_bool = diff > 0
                     side_str = "BUY" if is_buy_bool else "SELL"
                     
                     # Manage Existing Orders
                     existing_orders = orders_map.get(coin, [])
                     force_taker_retry = False
-                    
-                    # Fishing Config
-                    enable_fishing = config.get("ENABLE_FISHING", False)
-                    fishing_timeout = config.get("FISHING_TIMEOUT_FALLBACK", 30)
-                    
-                    # Check Existing Orders for compatibility
                     order_matched = False
                     price_buffer_pct = config.get("PRICE_BUFFER_PCT", Decimal("0.0015"))
                     
                     for o in existing_orders:
                         o_oid = o['oid']
                         o_price = to_decimal(o['limitPx'])
-                        o_side = o['side'] # 'B' or 'A'
+                        o_side = o['side']
                         o_timestamp = o.get('timestamp', int(time.time()*1000))
-                        
                         is_same_side = (o_side == 'B' and is_buy_bool) or (o_side == 'A' and not is_buy_bool)
-                        
-                        # Price Check (within buffer)
-                        dist_pct = abs(price - o_price) / price
-                        
-                        # Maker Timeout Check (General)
-                        maker_timeout = config.get("MAKER_ORDER_TIMEOUT", 300)
                         order_age_sec = (int(time.time()*1000) - o_timestamp) / 1000.0
                         
-                        if is_same_side and order_age_sec > maker_timeout:
+                        if is_same_side and order_age_sec > config.get("MAKER_ORDER_TIMEOUT", 300):
-                            logger.info(f"[TIMEOUT] {coin} Order {o_oid} expired ({order_age_sec:.1f}s > {maker_timeout}s). Cancelling to refresh.")
+                            logger.info(f"[TIMEOUT] {coin} Order {o_oid} expired. Cancelling.")
                             self.cancel_order(coin, o_oid)
                             continue 
 
-                        # Fishing Timeout Check
+                        if config.get("ENABLE_FISHING", False) and is_same_side and order_age_sec > config.get("FISHING_TIMEOUT_FALLBACK", 30):
-                        if enable_fishing and is_same_side and order_age_sec > fishing_timeout:
+                            logger.info(f"[FISHING] {coin} Order {o_oid} timed out. Retrying as Taker.")
-                            logger.info(f"[FISHING] {coin} Order {o_oid} timed out ({order_age_sec:.1f}s > {fishing_timeout}s). Cancelling for Taker retry.")
                             self.cancel_order(coin, o_oid)
                             force_taker_retry = True
-                            continue # Do not mark matched, let it flow to execution
+                            continue
 
-                        if is_same_side and dist_pct < price_buffer_pct:
+                        if is_same_side and (abs(price - o_price) / price) < price_buffer_pct:
                             order_matched = True
-                            if int(time.time()) % 10 == 0:
+                            if int(time.time()) % 15 == 0:
-                                 logger.info(f"[WAIT] {coin} Pending {side_str} Order {o_oid} @ {o_price} (Dist: {dist_pct*100:.3f}%) | Age: {order_age_sec:.1f}s")
+                                 logger.info(f"[WAIT] {coin} Pending {side_str} @ {o_price} | Age: {order_age_sec:.1f}s")
                             break
                         else:
                             logger.info(f"Cancelling stale order {o_oid} ({o_side} @ {o_price})")
                             self.cancel_order(coin, o_oid)
 
-                    # --- EXECUTION LOGIC ---
+                    # Determine Urgency / Bypass Cooldown
-                    if not order_matched:
+                    bypass_cooldown = False
-                        if action_needed or force_taker_retry:
+                    force_maker = False
+                    if not order_matched and (action_needed or force_taker_retry):
+                        if force_taker_retry: bypass_cooldown = True
+                        elif data.get('is_closing', False): bypass_cooldown = True
+                        elif data.get('contributors', 0) == 0:
+                            if time.time() - self.startup_time > 5: force_maker = True
+                            else: continue # Skip startup ghost positions
+                        
+                        large_hedge_mult = config.get("LARGE_HEDGE_MULTIPLIER", Decimal("5.0"))
+                        if diff_abs > (dynamic_thresh * large_hedge_mult) and not force_maker and data.get('is_at_edge', False):
+                            # Prevent IOC for BUYs at bottom edge
+                            if not (is_buy_bool and data.get('is_at_bottom_edge', False)):
+                                bypass_cooldown = True
+
+                    # --- BOTTOM STRATEGY SAFEGUARDS ---
+                    strategy_type = config.get("HEDGE_STRATEGY", "ASYMMETRIC")
+                    if strategy_type == "BOTTOM":
+                        # strict: "do not use taker orders... except only on very bottom"
+                        if not data.get('is_at_bottom_edge', False):
                             bypass_cooldown = False
-                            force_maker = False
+                            force_taker_retry = False # Disable taker retry from fishing
 
-                            # 0. Forced Taker Retry (Fishing Timeout)
+                    # --- ASYMMETRIC HEDGE CHECK ---
-                            if force_taker_retry:
+                    is_asymmetric_blocked = False
-                                bypass_cooldown = True
+                    p_mid_asym = Decimal("0")
-                                logger.info(f"[RETRY] {coin} Fishing Failed -> Force Taker")
+                    # strategy_type already fetched above
 
-                            # 1. Urgent Closing -> Taker
+                    if strategy_type == "ASYMMETRIC" and is_buy_bool and not bypass_cooldown:
-                            elif data.get('is_closing', False):
+                        total_L_asym = Decimal("0")
-                                bypass_cooldown = True
+                        for k_strat, strat_inst in self.strategies.items():
-                                logger.info(f"[URGENT] {coin} Closing Strategy -> Force Taker Exit")
+                             if self.strategy_states[k_strat]['coin'] == coin:
+                                 total_L_asym += strat_inst.L
                         
-                            # 2. Ghost/Cleanup -> Maker
+                        gamma_asym = (Decimal("0.5") * total_L_asym * (price ** Decimal("-1.5")))
-                            elif data.get('contributors', 0) == 0:
+                        if gamma_asym > 0:
-                                if time.time() - self.startup_time > 5:
+                            p_mid_asym = price - (diff_abs / gamma_asym)
-                                    force_maker = True
+                            if not data.get('is_at_edge', False) and price >= p_mid_asym:
-                                    logger.info(f"[CLEANUP] {coin} Ghost Position -> Force Maker Reduce")
+                                is_asymmetric_blocked = True
-                                else:
-                                    logger.info(f"[STARTUP] Skipping Ghost Cleanup for {coin} (Grace Period)")
-                                    continue # Skip execution for this coin
-
-                            # Large Hedge Check (Only Force Taker if AT EDGE)
-                            large_hedge_mult = config.get("LARGE_HEDGE_MULTIPLIER", Decimal("5.0"))
-                            if diff_abs > (dynamic_thresh * large_hedge_mult) and not force_maker and data.get('is_at_edge', False):
-                                bypass_cooldown = True
-                                logger.info(f"[WARN] LARGE HEDGE (Edge Protection): {diff_abs:.4f} > {dynamic_thresh:.4f} (x{large_hedge_mult})")
-                            elif diff_abs > (dynamic_thresh * large_hedge_mult) and not force_maker:
-                                 # Large hedge but safe zone -> Maker is fine, but maybe log it
-                                 logger.info(f"[INFO] Large Hedge (Safe Zone): {diff_abs:.4f}. Using Standard Execution.")
 
+                    # --- EXECUTION ---
+                    if not order_matched and not is_asymmetric_blocked:
+                        if action_needed or force_taker_retry:
                             last_trade = self.last_trade_times.get(coin, 0)
+                            min_time = config.get("MIN_TIME_BETWEEN_TRADES", 60)
                             
-                            min_time_trade = config.get("MIN_TIME_BETWEEN_TRADES", 60)
+                            if bypass_cooldown or (time.time() - last_trade > min_time):
-                            can_trade = False
+                                if coin not in l2_snapshots: l2_snapshots[coin] = self.info.l2_snapshot(coin)
-                            if bypass_cooldown:
-                                can_trade = True
-                            elif time.time() - last_trade > min_time_trade:
-                                can_trade = True
-                                
-                            if can_trade:
-                                # Get Orderbook for Price
-                                if coin not in l2_snapshots:
-                                    l2_snapshots[coin] = self.info.l2_snapshot(coin)
-                                
                                 levels = l2_snapshots[coin]['levels']
-                                if not levels[0] or not levels[1]: continue
+                                if levels[0] and levels[1]:
+                                    bid, ask = to_decimal(levels[0][0]['px']), to_decimal(levels[1][0]['px'])
+                                    if bypass_cooldown and not force_maker:
+                                        exec_price = ask * Decimal("1.001") if is_buy_bool else bid * Decimal("0.999")
+                                        order_type = "Ioc"
+                                    else:
+                                        exec_price = bid if is_buy_bool else ask
+                                        order_type = "Alo"
                                     
-                                bid = to_decimal(levels[0][0]['px'])
+                                    logger.info(f"[TRIG] {coin} {side_str} {diff_abs:.4f} | Cur: {current_pos:.4f} | Type: {order_type}")
-                                ask = to_decimal(levels[1][0]['px'])
+                                    oid = self.place_limit_order(coin, is_buy_bool, diff_abs, exec_price, order_type)
+                                    if oid:
+                                        self.last_trade_times[coin] = time.time()
+                                        if order_type == "Ioc":
+                                            shadow_price = bid if is_buy_bool else ask
+                                            self.shadow_orders.append({'coin': coin, 'side': side_str, 'price': shadow_price, 'expires_at': time.time() + config.get("SHADOW_ORDER_TIMEOUT", 600)})
                                         
-                                # Price logic
+                                        logger.info("Sleeping 10s for position update...")
-                                create_shadow = False
+                                        time.sleep(10)
+                                        self._update_closed_pnl(coin)
+                        else:
+                            # Idle Cleanup
+                            if existing_orders and not order_matched:
+                                for o in existing_orders: self.cancel_order(coin, o['oid'])
 
-                                # Decide Order Type: Taker (Ioc) or Maker (Alo)
+                    # --- REAL-TIME PnL CALCULATION & JSON UPDATE (1s) ---
-                                # Taker if: Urgent (bypass_cooldown) OR Fishing Disabled OR Force Maker is False (wait, Force Maker means Alo)
+                    total_L_log = Decimal("0")
+                    for k_strat, strat_inst in self.strategies.items():
+                        if self.strategy_states[k_strat]['coin'] == coin:
+                            total_L_log += strat_inst.L
                     
-                                # Logic:
+                    # Update all active strategies for this coin in JSON
-                                # If Force Maker -> Alo
+                    if total_L_log > 0 and price > 0:
-                                # Else if Urgent -> Ioc
+                        for k_strat, strat_inst in self.strategies.items():
-                                # Else if Enable Fishing -> Alo
+                            if self.strategy_states[k_strat]['coin'] != coin: continue
-                                # Else -> Alo (Default non-urgent behavior was Alo anyway?)
                             
-                                # Let's clarify:
+                            # CLP Value Calc
-                                # Previous logic: if bypass_cooldown -> Ioc. Else -> Alo.
+                            def get_clp_value(p, s):
-                                # New logic: 
+                                if p <= s.low_range: return s.L * (p * (1/s.low_range.sqrt() - 1/s.high_range.sqrt()))
-                                # If bypass_cooldown -> Ioc
+                                if p >= s.high_range: return s.L * (s.high_range.sqrt() - s.low_range.sqrt())
-                                # Else -> Alo (Fishing)
+                                return s.L * (2*p.sqrt() - s.low_range.sqrt() - p/s.high_range.sqrt())
                             
-                                if bypass_cooldown and not force_maker:
+                            clp_curr_val = get_clp_value(price, strat_inst)
-                                    exec_price = ask * Decimal("1.001") if is_buy_bool else bid * Decimal("0.999")
-                                    order_type = "Ioc"
-                                    create_shadow = True
-                                else:
-                                    # Fishing / Standard Maker
-                                    exec_price = bid if is_buy_bool else ask
-                                    order_type = "Alo"
                             
-                                logger.info(f"[TRIG] Net {coin}: {side_str} {diff_abs:.4f} | Tgt: {target_position:.4f} / Cur: {current_pos:.4f} | Thresh: {dynamic_thresh:.4f} | Type: {order_type}")
+                            # Use Custom Fixed Target if exists
+                            target_size = self.custom_fixed_targets.get(k_strat, strat_inst.get_pool_delta(strat_inst.entry_price))
                             
-                                oid = self.place_limit_order(coin, is_buy_bool, diff_abs, exec_price, order_type)
+                            # USE TRACKED HEDGE ENTRY PRICE
-                                if oid:
+                            h_entry_px = self.hedge_entry_prices.get(k_strat, strat_inst.entry_price)
-                                    self.last_trade_times[coin] = time.time()
+                            if h_entry_px > 0:
-                                    
+                                hedge_pnl_curr = (h_entry_px - price) * target_size
-                                    # Shadow Order
-                                    if create_shadow:
-                                        shadow_price = bid if is_buy_bool else ask
-                                        shadow_timeout = config.get("SHADOW_ORDER_TIMEOUT", 600)
-                                        self.shadow_orders.append({
-                                            'coin': coin,
-                                            'side': side_str,
-                                            'price': shadow_price,
-                                            'expires_at': time.time() + shadow_timeout
-                                        })
-                                        logger.info(f"[SHADOW] Created Maker {side_str} @ {shadow_price:.2f}")
-
-                                    # UPDATED: Sleep for API Lag (Phase 5.1)
-                                    logger.info("Sleeping 10s to allow position update...")
-                                    time.sleep(10)
-
-                                    # --- UPDATE CLOSED PnL FROM API ---
-                                    self._update_closed_pnl(coin)
                             else:
-                                # Cooldown log
+                                hedge_pnl_curr = Decimal("0")
-                                pass
                             
-                        else:
+                            fee_close_curr = (target_size * price) * Decimal("0.000432")
-                            # Action NOT needed
+                            uni_fees = to_decimal(self.strategy_states[k_strat].get('clp_fees', 0))
-                            # Cleanup any dangling orders
-                            if existing_orders:
-                                for o in existing_orders:
-                                    logger.info(f"Cancelling idle order {o['oid']} ({o['side']} @ {o['limitPx']})")
-                                    self.cancel_order(coin, o['oid'])
                             
-                    # --- IDLE LOGGING (Restored Format) ---
+                            # Retrieve Realized PnL & Fees from State
-                    # Calculate aggregate Gamma to estimate triggers
+                            realized_pnl = to_decimal(self.strategy_states[k_strat].get('hedge_TotPnL', 0))
-                    # Gamma = 0.5 * Sum(L) * P^-1.5
+                            realized_fees = to_decimal(self.strategy_states[k_strat].get('fees', 0))
-                    # We need Sum(L) for this coin.
-                    total_L = Decimal("0")
-                    # We need to re-iterate or cache L. 
-                    # Simpler: Just re-sum L from active strats for this coin.
-                    for key, strat in self.strategies.items():
-                         if self.strategy_states[key]['coin'] == coin:
-                             total_L += strat.L
                             
-                    if total_L > 0 and price > 0:
+                            # Combined TotPnL = CLP_Unrealized + Hedge_Unrealized + Hedge_Realized - Hedge_Fees + CLP_Fees - Est_Close_Fee
-                        gamma = (Decimal("0.5") * total_L * (price ** Decimal("-1.5")))
+                            tot_curr = (clp_curr_val - strat_inst.target_value) + hedge_pnl_curr + realized_pnl - realized_fees - fee_close_curr + uni_fees
-                        if gamma > 0:
-                            # Equilibrium Price (Diff = 0)
-                            p_mid = price + (diff / gamma)
                             
-                            # Triggers
+                            cur_hl_cost = realized_fees + fee_close_curr
-                            p_buy = price + (dynamic_thresh + diff) / gamma
-                            p_sell = price - (dynamic_thresh - diff) / gamma
                             
-                            if int(time.time()) % 30 == 0:
+                            # Sync to JSON every 1s
+                            update_position_stats(k_strat[0], k_strat[1], {
+                                "combined_TotPnL": round(float(tot_curr), 2),
+                                "hedge_HL_cost_est": round(float(cur_hl_cost), 2),
+                                "hedge_pnl_unrealized": round(float(hedge_pnl_curr), 2),
+                                "last_sync_hl": int(time.time())
+                            })
+
+                    # --- THROTTLED STATUS LOGGING (300s) ---
+                    now = time.time()
+                    last_log = self.last_idle_log_times.get(coin, 0)
+                    log_interval = config.get("LOG_INTERVAL_SECONDS", 300)
+                    
+                    if now - last_log >= log_interval:
+                        self.last_idle_log_times[coin] = now
+                        if is_asymmetric_blocked:
+                             logger.info(f"[ASYMMETRIC] Blocking BUY. Px ({price:.2f}) >= Eq ({p_mid_asym:.2f}) & Not Edge")
+                        
+                        if total_L_log > 0 and price > 0:
+                            gamma_log = (Decimal("0.5") * total_L_log * (price ** Decimal("-1.5")))
+                            if gamma_log > 0:
+                                p_mid_log = price - (diff / gamma_log)
+                                p_buy = price + (dynamic_thresh + diff) / gamma_log
+                                p_sell = price - (dynamic_thresh - diff) / gamma_log
                                 pad = " " if coin == "BNB" else ""
-                                adj_val = data.get('adj_pct', Decimal("0")) * 100
                                 
-                                # PnL Calc
                                 unrealized = current_pnls.get(coin, Decimal("0"))
-                                closed_pnl_total = Decimal("0")
+                                closed_pnl = sum(s['hedge_TotPnL'] for s in self.strategy_states.values() if s['coin'] == coin)
-                                fees_total = Decimal("0")
+                                fees = sum(s['fees'] for s in self.strategy_states.values() if s['coin'] == coin)
-                                for k, s_state in self.strategy_states.items():
+                                total_pnl = (closed_pnl - fees) + unrealized
-                                    if s_state['coin'] == coin:
-                                        closed_pnl_total += s_state.get('hedge_TotPnL', Decimal("0"))
-                                        fees_total += s_state.get('fees', Decimal("0"))
                                 
-                                total_pnl = (closed_pnl_total - fees_total) + unrealized
+                                # Log individual strategy PnL
+                                if strategy_type == "FIXED":
+                                    for k_strat, strat_inst in self.strategies.items():
+                                        if self.strategy_states[k_strat]['coin'] != coin: continue
                                         
-                                pnl_pad = " " if unrealized >= 0 else ""
+                                        # Recalculate for logging (including bounds)
-                                tot_pnl_pad = " " if total_pnl >= 0 else ""
+                                        clp_curr_val = get_clp_value(price, strat_inst)
+                                        clp_low_val = get_clp_value(strat_inst.low_range, strat_inst)
+                                        clp_high_val = get_clp_value(strat_inst.high_range, strat_inst)
                                         
-                                logger.info(f"[IDLE] {coin} | Px: {price:.2f}{pad} | M: {p_mid:.1f}{pad} | B: {p_buy:.1f}{pad} / S: {p_sell:.1f}{pad} | delta: {target_position:.4f}({diff:+.4f}) | Adj: {adj_val:+.2f}%, Vol: {vol_mult:.2f}, Thr: {dynamic_thresh:.4f} | PnL: {unrealized:.2f}{pnl_pad} | TotPnL: {total_pnl:.2f}{tot_pnl_pad}")
+                                        # Use Custom Fixed Target if exists
-                        else:
+                                        target_size = self.custom_fixed_targets.get(k_strat, strat_inst.get_pool_delta(strat_inst.entry_price))
-                             if int(time.time()) % 30 == 0:
+                                        h_entry_px = self.hedge_entry_prices.get(k_strat, strat_inst.entry_price)
+
+                                        if h_entry_px > 0:
+                                            hedge_pnl_curr = (h_entry_px - price) * target_size
+                                            hedge_pnl_low = (h_entry_px - strat_inst.low_range) * target_size
+                                            hedge_pnl_high = (h_entry_px - strat_inst.high_range) * target_size
+                                            fee_open = (target_size * h_entry_px) * Decimal("0.000144")
+                                        else:
+                                            hedge_pnl_curr = hedge_pnl_low = hedge_pnl_high = Decimal("0")
+                                            fee_open = Decimal("0")
+                                        
+                                        fee_close_curr = (target_size * price) * Decimal("0.000432")
+                                        fee_close_low = (target_size * strat_inst.low_range) * Decimal("0.000432")
+                                        fee_close_high = (target_size * strat_inst.high_range) * Decimal("0.000432")
+                                        
+                                        uni_fees = to_decimal(self.strategy_states[k_strat].get('clp_fees', 0))
+                                        tot_curr = (clp_curr_val - strat_inst.target_value) + hedge_pnl_curr - (fee_open + fee_close_curr) + uni_fees
+                                        tot_low = (clp_low_val - strat_inst.target_value) + hedge_pnl_low - (fee_open + fee_close_low) + uni_fees
+                                        tot_high = (clp_high_val - strat_inst.target_value) + hedge_pnl_high - (fee_open + fee_close_high) + uni_fees
+                                        
+                                        cur_hl_cost = fee_open + fee_close_curr
+                                        
+                                        # ID or Range to distinguish
+                                        strat_id = str(k_strat[1]) # Token ID
+                                        logger.info(f"[FIXED] {coin} #{strat_id} | TotPnL: {tot_curr:+.2f} | Down: {tot_low:+.2f} | Up: {tot_high:+.2f} (Inc: Fees ${uni_fees:.2f}, HL Cost ${cur_hl_cost:.2f})")
+
+                                logger.info(f"[IDLE] {coin} | Px: {price:.2f}{pad} | M: {p_mid_log:.1f}{pad} | B: {p_buy:.1f}{pad} / S: {p_sell:.1f}{pad} | delta: {target_position:.4f}({diff:+.4f}) | Adj: {data.get('adj_pct',0)*100:+.2f}%, Vol: {vol_mult:.2f}, Thr: {dynamic_thresh:.4f} | PnL: {unrealized:.2f} | HedgePnL: {total_pnl:.2f}")
+                            else:
                                 logger.info(f"[IDLE] {coin} | Px: {price:.2f} | delta: {target_position:.4f} | Diff: {diff:.4f} (Thresh: {dynamic_thresh:.4f})")
-                    else:
+                        else:
-                        if int(time.time()) % 30 == 0:
+                            logger.info(f"[IDLE] {coin} | Px: {price:.2f} | delta: {target_position:.4f} | Diff: {diff:.4f}")
-                             logger.info(f"[IDLE] {coin} | Px: {price:.2f} | delta: {target_position:.4f} | Diff: {diff:.4f} (Thresh: {dynamic_thresh:.4f})")
 
                 time.sleep(DEFAULT_STRATEGY.get("CHECK_INTERVAL", 1))
 

clp_manager.py

@@ -63,65 +63,34 @@ formatter = logging.Formatter('%(unix_ms)d, %(asctime)s - %(name)s - %(levelname
 file_handler.setFormatter(formatter)
 logger.addHandler(file_handler)
 
-# --- ABIs ---
+from clp_abis import (
-# (Kept minimal for brevity, normally would load from files)
+    NONFUNGIBLE_POSITION_MANAGER_ABI,
-NONFUNGIBLE_POSITION_MANAGER_ABI = json.loads('''
+    UNISWAP_V3_POOL_ABI,
-[
+    ERC20_ABI,
-    {"anonymous": false, "inputs": [{"indexed": true, "internalType": "uint256", "name": "tokenId", "type": "uint256"}, {"indexed": false, "internalType": "uint128", "name": "liquidity", "type": "uint128"}, {"indexed": false, "internalType": "uint256", "name": "amount0", "type": "uint256"}, {"indexed": false, "internalType": "uint256", "name": "amount1", "type": "uint256"}], "name": "IncreaseLiquidity", "type": "event"},
+    UNISWAP_V3_FACTORY_ABI,
-    {"anonymous": false, "inputs": [{"indexed": true, "internalType": "address", "name": "from", "type": "address"}, {"indexed": true, "internalType": "address", "name": "to", "type": "address"}, {"indexed": true, "internalType": "uint256", "name": "tokenId", "type": "uint256"}], "name": "Transfer", "type": "event"},
+    AERODROME_FACTORY_ABI,
-    {"inputs": [], "name": "factory", "outputs": [{"internalType": "address", "name": "", "type": "address"}], "stateMutability": "view", "type": "function"},
+    AERODROME_POOL_ABI,
-    {"inputs": [{"internalType": "uint256", "name": "tokenId", "type": "uint256"}], "name": "positions", "outputs": [{"internalType": "uint96", "name": "nonce", "type": "uint96"}, {"internalType": "address", "name": "operator", "type": "address"}, {"internalType": "address", "name": "token0", "type": "address"}, {"internalType": "address", "name": "token1", "type": "address"}, {"internalType": "uint24", "name": "fee", "type": "uint24"}, {"internalType": "int24", "name": "tickLower", "type": "int24"}, {"internalType": "int24", "name": "tickUpper", "type": "int24"}, {"internalType": "uint128", "name": "liquidity", "type": "uint128"}, {"internalType": "uint256", "name": "feeGrowthInside0LastX128", "type": "uint256"}, {"internalType": "uint256", "name": "feeGrowthInside1LastX128", "type": "uint256"}, {"internalType": "uint128", "name": "tokensOwed0", "type": "uint128"}, {"internalType": "uint128", "name": "tokensOwed1", "type": "uint128"}], "stateMutability": "view", "type": "function"},
+    AERODROME_NPM_ABI,
-    {"inputs": [{"components": [{"internalType": "uint256", "name": "tokenId", "type": "uint256"}, {"internalType": "address", "name": "recipient", "type": "address"}, {"internalType": "uint128", "name": "amount0Max", "type": "uint128"}, {"internalType": "uint128", "name": "amount1Max", "type": "uint128"}], "internalType": "struct INonfungiblePositionManager.CollectParams", "name": "params", "type": "tuple"}], "name": "collect", "outputs": [{"internalType": "uint256", "name": "amount0", "type": "uint256"}, {"internalType": "uint256", "name": "amount1", "type": "uint256"}], "stateMutability": "payable", "type": "function"},
+    SWAP_ROUTER_ABI,
-    {"inputs": [{"components": [{"internalType": "uint256", "name": "tokenId", "type": "uint256"}, {"internalType": "uint128", "name": "liquidity", "type": "uint128"}, {"internalType": "uint256", "name": "amount0Min", "type": "uint256"}, {"internalType": "uint256", "name": "amount1Min", "type": "uint256"}, {"internalType": "uint256", "name": "deadline", "type": "uint256"}], "internalType": "struct INonfungiblePositionManager.DecreaseLiquidityParams", "name": "params", "type": "tuple"}], "name": "decreaseLiquidity", "outputs": [{"internalType": "uint256", "name": "amount0", "type": "uint256"}, {"internalType": "uint256", "name": "amount1", "type": "uint256"}], "stateMutability": "payable", "type": "function"},
+    WETH9_ABI
-    {"inputs": [{"components": [{"internalType": "address", "name": "token0", "type": "address"}, {"internalType": "address", "name": "token1", "type": "address"}, {"internalType": "uint24", "name": "fee", "type": "uint24"}, {"internalType": "int24", "name": "tickLower", "type": "int24"}, {"internalType": "int24", "name": "tickUpper", "type": "int24"}, {"internalType": "uint256", "name": "amount0Desired", "type": "uint256"}, {"internalType": "uint256", "name": "amount1Desired", "type": "uint256"}, {"internalType": "uint256", "name": "amount0Min", "type": "uint256"}, {"internalType": "uint256", "name": "amount1Min", "type": "uint256"}, {"internalType": "address", "name": "recipient", "type": "address"}, {"internalType": "uint256", "name": "deadline", "type": "uint256"}], "internalType": "struct INonfungiblePositionManager.MintParams", "name": "params", "type": "tuple"}], "name": "mint", "outputs": [{"internalType": "uint256", "name": "tokenId", "type": "uint256"}, {"internalType": "uint128", "name": "liquidity", "type": "uint128"}, {"internalType": "uint256", "name": "amount0", "type": "uint256"}, {"internalType": "uint256", "name": "amount1", "type": "uint256"}], "stateMutability": "payable", "type": "function"}
+)
-]
-''')
-
-UNISWAP_V3_POOL_ABI = json.loads('''
-[
-    {"inputs": [], "name": "slot0", "outputs": [{"internalType": "uint160", "name": "sqrtPriceX96", "type": "uint160"}, {"internalType": "int24", "name": "tick", "type": "int24"}, {"internalType": "uint16", "name": "observationIndex", "type": "uint16"}, {"internalType": "uint16", "name": "observationCardinality", "type": "uint16"}, {"internalType": "uint16", "name": "observationCardinalityNext", "type": "uint16"}, {"internalType": "uint32", "name": "feeProtocol", "type": "uint32"}, {"internalType": "bool", "name": "unlocked", "type": "bool"}], "stateMutability": "view", "type": "function"},
-    {"inputs": [], "name": "token0", "outputs": [{"internalType": "address", "name": "", "type": "address"}], "stateMutability": "view", "type": "function"},
-    {"inputs": [], "name": "token1", "outputs": [{"internalType": "address", "name": "", "type": "address"}], "stateMutability": "view", "type": "function"},
-    {"inputs": [], "name": "fee", "outputs": [{"internalType": "uint24", "name": "", "type": "uint24"}], "stateMutability": "view", "type": "function"},
-    {"inputs": [], "name": "tickSpacing", "outputs": [{"internalType": "int24", "name": "", "type": "int24"}], "stateMutability": "view", "type": "function"},
-    {"inputs": [], "name": "liquidity", "outputs": [{"internalType": "uint128", "name": "", "type": "uint128"}], "stateMutability": "view", "type": "function"}
-]
-''')
-
-ERC20_ABI = json.loads('''
-[
-    {"inputs": [], "name": "decimals", "outputs": [{"internalType": "uint8", "name": "", "type": "uint8"}], "stateMutability": "view", "type": "function"},
-    {"inputs": [], "name": "symbol", "outputs": [{"internalType": "string", "name": "", "type": "string"}], "stateMutability": "view", "type": "function"},
-    {"inputs": [{"internalType": "address", "name": "account", "type": "address"}], "name": "balanceOf", "outputs": [{"internalType": "uint256", "name": "", "type": "uint256"}], "stateMutability": "view", "type": "function"},
-    {"inputs": [{"internalType": "address", "name": "spender", "type": "address"}, {"internalType": "uint256", "name": "amount", "type": "uint256"}], "name": "approve", "outputs": [{"internalType": "bool", "name": "", "type": "bool"}], "stateMutability": "nonpayable", "type": "function"},
-    {"inputs": [{"internalType": "address", "name": "owner", "type": "address"}, {"internalType": "address", "name": "spender", "type": "address"}], "name": "allowance", "outputs": [{"internalType": "uint256", "name": "", "type": "uint256"}], "stateMutability": "view", "type": "function"}
-]
-''')
-
-UNISWAP_V3_FACTORY_ABI = json.loads('''
-[
-    {"inputs": [{"internalType": "address", "name": "tokenA", "type": "address"}, {"internalType": "address", "name": "tokenB", "type": "address"}, {"internalType": "uint24", "name": "fee", "type": "uint24"}], "name": "getPool", "outputs": [{"internalType": "address", "name": "pool", "type": "address"}], "stateMutability": "view", "type": "function"}
-]
-''')
-
-SWAP_ROUTER_ABI = json.loads('''
-[
-    {"inputs": [{"components": [{"internalType": "address", "name": "tokenIn", "type": "address"}, {"internalType": "address", "name": "tokenOut", "type": "address"}, {"internalType": "uint24", "name": "fee", "type": "uint24"}, {"internalType": "address", "name": "recipient", "type": "address"}, {"internalType": "uint256", "name": "deadline", "type": "uint256"}, {"internalType": "uint256", "name": "amountIn", "type": "uint256"}, {"internalType": "uint256", "name": "amountOutMinimum", "type": "uint256"}, {"internalType": "uint160", "name": "sqrtPriceLimitX96", "type": "uint160"}], "internalType": "struct ISwapRouter.ExactInputSingleParams", "name": "params", "type": "tuple"}], "name": "exactInputSingle", "outputs": [{"internalType": "uint256", "name": "amountOut", "type": "uint256"}], "stateMutability": "payable", "type": "function"}
-]
-''')
-
-WETH9_ABI = json.loads('''
-[
-    {"constant": false, "inputs": [], "name": "deposit", "outputs": [], "payable": true, "stateMutability": "payable", "type": "function"},
-    {"constant": false, "inputs": [{"name": "wad", "type": "uint256"}], "name": "withdraw", "outputs": [], "payable": false, "stateMutability": "nonpayable", "type": "function"}
-]
-''')
 
 from clp_config import get_current_config, STATUS_FILE
+from tools.universal_swapper import execute_swap
 
 # --- GET ACTIVE DEX CONFIG ---
 CONFIG = get_current_config()
 
+DEX_TO_CHAIN = {
+    "UNISWAP_V3": "ARBITRUM",
+    "UNISWAP_wide": "ARBITRUM",
+    "PANCAKESWAP_BNB": "BSC",
+    "WETH_CBBTC_BASE": "BASE",
+    "UNISWAP_BASE_CL": "BASE",
+    "AERODROME_BASE_CL": "BASE",
+    "AERODROME_WETH-USDC_008": "BASE"
+}
+
 # --- CONFIGURATION FROM STRATEGY ---
 MONITOR_INTERVAL_SECONDS = CONFIG.get("MONITOR_INTERVAL_SECONDS", 60)
 CLOSE_POSITION_ENABLED = CONFIG.get("CLOSE_POSITION_ENABLED", True)
@@ -130,11 +99,77 @@ REBALANCE_ON_CLOSE_BELOW_RANGE = CONFIG.get("REBALANCE_ON_CLOSE_BELOW_RANGE", Tr
 TARGET_INVESTMENT_VALUE_USDC = CONFIG.get("TARGET_INVESTMENT_AMOUNT", 2000)
 INITIAL_HEDGE_CAPITAL_USDC = CONFIG.get("INITIAL_HEDGE_CAPITAL", 1000)
 RANGE_WIDTH_PCT = CONFIG.get("RANGE_WIDTH_PCT", Decimal("0.01"))
+RANGE_MODE = CONFIG.get("RANGE_MODE", "FIXED")
 SLIPPAGE_TOLERANCE = CONFIG.get("SLIPPAGE_TOLERANCE", Decimal("0.02"))
 TRANSACTION_TIMEOUT_SECONDS = CONFIG.get("TRANSACTION_TIMEOUT_SECONDS", 30)
 
+# --- AUTO RANGE HELPERS ---
+
+def get_market_indicators() -> Optional[Dict]:
+    file_path = os.path.join("market_data", "indicators.json")
+    if not os.path.exists(file_path):
+        return None
+    try:
+        with open(file_path, 'r') as f:
+            data = json.load(f)
+        
+        # Check Freshness (5m)
+        last_updated_str = data.get("last_updated")
+        if not last_updated_str: return None
+        
+        last_updated = datetime.fromisoformat(last_updated_str)
+        if (datetime.now() - last_updated).total_seconds() > 300:
+            logger.warning("⚠️ Market indicators file is stale (>5m).")
+            return None
+            
+        return data
+    except Exception as e:
+        logger.error(f"Error reading indicators: {e}")
+        return None
+
+def calculate_dynamic_range_pct(coin: str) -> Optional[Decimal]:
+    indicators = get_market_indicators()
+    if not indicators: return None
+    
+    # Normalize symbols (Hyperliquid uses ETH, BNB while DEX uses WETH, WBNB)
+    symbol_map = {"WETH": "ETH", "WBNB": "BNB"}
+    lookup_coin = symbol_map.get(coin.upper(), coin.upper())
+    
+    coin_data = indicators.get("data", {}).get(lookup_coin)
+    if not coin_data: return None
+    
+    try:
+        price = Decimal(str(coin_data["current_price"]))
+        bb12 = coin_data["bb"]["12h"]
+        bb_low = Decimal(str(bb12["lower"]))
+        bb_high = Decimal(str(bb12["upper"]))
+        ma88 = Decimal(str(coin_data["ma"]["88"]))
+        
+        # Condition 2: Price inside BB 12h
+        if not (bb_low <= price <= bb_high):
+            logger.warning(f"⚖️ AUTO: Price {price:.2f} is outside BB 12h ({bb_low:.2f} - {bb_high:.2f}). Skipping AUTO.")
+            return None
+            
+        # Condition 3: MA 88 inside BB 12h
+        if not (bb_low <= ma88 <= bb_high):
+            logger.warning(f"⚖️ AUTO: MA 88 {ma88:.2f} is outside BB 12h. Skipping AUTO.")
+            return None
+            
+        # Calculation: Max distance to BB edge
+        dist_low = abs(price - bb_low)
+        dist_high = abs(price - bb_high)
+        max_dist = max(dist_low, dist_high)
+        
+        range_pct = max_dist / price
+        return range_pct
+        
+    except (KeyError, TypeError, ValueError) as e:
+        logger.error(f"Error in dynamic range calc: {e}")
+        return None
+
 # --- CONFIGURATION CONSTANTS ---
 NONFUNGIBLE_POSITION_MANAGER_ADDRESS = CONFIG["NPM_ADDRESS"]
+# Router address not strictly needed for Manager if using universal_swapper, but kept for ref
 UNISWAP_V3_SWAP_ROUTER_ADDRESS = CONFIG["ROUTER_ADDRESS"]
 # Arbitrum WETH/USDC (or generic T0/T1)
 WETH_ADDRESS = CONFIG["WRAPPED_NATIVE_ADDRESS"]
@@ -311,7 +346,8 @@ def get_position_details(w3: Web3, npm_contract, factory_contract, token_id: int
         if pool_address == '0x0000000000000000000000000000000000000000':
             return None, None
         
-        pool_contract = w3.eth.contract(address=pool_address, abi=UNISWAP_V3_POOL_ABI)
+        pool_abi = AERODROME_POOL_ABI if "AERODROME" in CONFIG.get("NAME", "").upper() else UNISWAP_V3_POOL_ABI
+        pool_contract = w3.eth.contract(address=pool_address, abi=pool_abi)
 
         return {
             "token0_address": token0_address, "token1_address": token1_address,
@@ -397,6 +433,7 @@ def ensure_allowance(w3: Web3, account: LocalAccount, token_address: str, spende
 def check_and_swap_for_deposit(w3: Web3, router_contract, account: LocalAccount, token0: str, token1: str, amount0_needed: int, amount1_needed: int, sqrt_price_x96: int, d0: int, d1: int) -> bool:
     """
     Checks balances, wraps ETH if needed, and swaps ONLY the required surplus to meet deposit requirements.
+    Uses universal_swapper for the swap execution.
     """
     token0 = clean_address(token0)
     token1 = clean_address(token1)
@@ -444,12 +481,12 @@ def check_and_swap_for_deposit(w3: Web3, router_contract, account: LocalAccount,
     # Price of Token0 in terms of Token1
     price_0_in_1 = price_from_sqrt_price_x96(sqrt_price_x96, d0, d1)
     
-    swap_call = None
+    chain_name = DEX_TO_CHAIN.get(os.environ.get("TARGET_DEX", "UNISWAP_V3"), "ARBITRUM")
-    token_in, token_out = None, None
-    amount_in = 0
     
-    buffer_multiplier = Decimal("1.02") # 2% buffer for slippage/price moves
+    token_in_sym, token_out_sym = None, None
+    amount_in_float = 0.0
     
+    buffer_multiplier = Decimal("1.03")
     if deficit0 > 0 and bal1 > amount1_needed:
         # Need T0 (ETH), Have extra T1 (USDC)
         # Swap T1 -> T0
@@ -462,8 +499,11 @@ def check_and_swap_for_deposit(w3: Web3, router_contract, account: LocalAccount,
         surplus1 = bal1 - amount1_needed
         
         if surplus1 >= amount_in_needed:
-            token_in, token_out = token1, token0
+            # Get Symbols
-            amount_in = amount_in_needed
+            token_in_sym = token1_c.functions.symbol().call().upper()
+            token_out_sym = token0_c.functions.symbol().call().upper()
+            amount_in_float = float(Decimal(amount_in_needed) / Decimal(10**d1))
+            
             logger.info(f"🧮 Calc: Need {deficit0} T0. Cost ~{amount_in_needed} T1. Surplus: {surplus1}")
         else:
             logger.warning(f"❌ Insufficient Surplus T1. Need {amount_in_needed}, Have {surplus1}")
@@ -479,38 +519,46 @@ def check_and_swap_for_deposit(w3: Web3, router_contract, account: LocalAccount,
             surplus0 = bal0 - amount0_needed
             
             if surplus0 >= amount_in_needed:
-                token_in, token_out = token0, token1
+                token_in_sym = token0_c.functions.symbol().call().upper()
-                amount_in = amount_in_needed
+                token_out_sym = token1_c.functions.symbol().call().upper()
+                amount_in_float = float(Decimal(amount_in_needed) / Decimal(10**d0))
+                
                 logger.info(f"🧮 Calc: Need {deficit1} T1. Cost ~{amount_in_needed} T0. Surplus: {surplus0}")
             else:
                  logger.warning(f"❌ Insufficient Surplus T0. Need {amount_in_needed}, Have {surplus0}")
         
-    if token_in and amount_in > 0:
+    if token_in_sym and amount_in_float > 0:
-        logger.info(f"🔄 Swapping {amount_in} {token_in} to cover deficit...")
+        logger.info(f"🔄 Delegating Swap to Universal Swapper: {amount_in_float} {token_in_sym} -> {token_out_sym} on {chain_name}...")
+        try:
+            # Use Standard Fee (500) if configured fee is weird (like 1 for Aerodrome tickSpacing)
+            # This ensures the standard router finds a valid pool (WETH/USDC 0.05%)
+            swap_fee = POOL_FEE if POOL_FEE >= 100 else 500
             
-        if not ensure_allowance(w3, account, token_in, UNISWAP_V3_SWAP_ROUTER_ADDRESS, amount_in):
+            # Call Universal Swapper
+            execute_swap(chain_name, token_in_sym, token_out_sym, amount_in_float, fee_tier=swap_fee)
+            
+            # Wait for node indexing
+            logger.info("⏳ Waiting for balance update...")
+            time.sleep(2)
+
+            # Retry check loop
+            for i in range(3):
+                bal0 = token0_c.functions.balanceOf(account.address).call()
+                bal1 = token1_c.functions.balanceOf(account.address).call()
+                
+                if bal0 >= amount0_needed and bal1 >= amount1_needed:
+                    logger.info("✅ Balances sufficient.")
+                    return True
+                
+                if i < 2:
+                    logger.info(f"⏳ Balance not updated yet, retrying ({i+1}/3)...")
+                    time.sleep(2)
+            
+            logger.warning(f"⚠️ Swap executed but still short? T0: {bal0}/{amount0_needed}, T1: {bal1}/{amount1_needed}")
             return False
-            
+        except Exception as e:
-        params = (
+             logger.error(f"❌ Universal Swap Failed: {e}")
-            token_in, token_out, POOL_FEE, account.address, 
+             return False
-            int(time.time()) + 120, 
-            amount_in, 
-            0, # amountOutMin (Market swap for rebalance)
-            0
-        )
-        
-        receipt = send_transaction_robust(w3, account, router_contract.functions.exactInputSingle(params), extra_msg="Swap Surplus")
-        if receipt:
-            # Final check - Recursive check to ensure we hit target or retry
-            # But return True/False based on immediate check
-            bal0 = token0_c.functions.balanceOf(account.address).call()
-            bal1 = token1_c.functions.balanceOf(account.address).call()
-            # If we are strictly >= needed, great. 
-            if bal0 >= amount0_needed and bal1 >= amount1_needed:
-                return True
-            else:
-                logger.warning(f"⚠️ Swap executed but still short? T0: {bal0}/{amount0_needed}, T1: {bal1}/{amount1_needed}")
-                return False
 
     logger.warning(f"❌ Insufficient funds (No suitable swap found). T0: {bal0}/{amount0_needed}, T1: {bal1}/{amount1_needed}")
     return False
@@ -531,14 +579,20 @@ def mint_new_position(w3: Web3, npm_contract, account: LocalAccount, token0: str
     amount1_min = int(Decimal(amount1) * (Decimal(1) - SLIPPAGE_TOLERANCE))
     
     # 3. Mint
-    params = (
+    base_params = [
         token0, token1, POOL_FEE, 
         tick_lower, tick_upper, 
         amount0, amount1, 
         amount0_min, amount1_min, 
         account.address, 
         int(time.time()) + 180
-    )
+    ]
+    
+    # Aerodrome Slipstream expects sqrtPriceX96 as the last parameter
+    if "AERODROME" in os.environ.get("TARGET_DEX", "").upper():
+        base_params.append(0) # sqrtPriceX96
+        
+    params = tuple(base_params)
     
     receipt = send_transaction_robust(w3, account, npm_contract.functions.mint(params), extra_msg="Mint Position")
     
@@ -696,9 +750,43 @@ def update_position_status(token_id: int, status: str, extra_data: Dict = {}):
     save_status_data(data)
     logger.info(f"💾 Updated Position {token_id} status to {status}")
 
+import argparse
+import requests
+
+# --- REAL-TIME ORACLE HELPER ---
+def get_realtime_price(coin: str) -> Optional[Decimal]:
+    """Fetches current mid-price directly from Hyperliquid API (low latency)."""
+    try:
+        url = "https://api.hyperliquid.xyz/info"
+        response = requests.post(url, json={"type": "allMids"}, timeout=2)
+        if response.status_code == 200:
+            data = response.json()
+            # Hyperliquid symbols are usually clean (ETH, BNB)
+            # Map common variations just in case
+            target = coin.upper().replace("WETH", "ETH").replace("WBNB", "BNB")
+            
+            if target in data:
+                return Decimal(data[target])
+    except Exception as e:
+        logger.warning(f"⚠️ Failed to fetch realtime Oracle price: {e}")
+    return None
+
 # --- MAIN LOOP ---
 
 def main():
+    # --- ARGUMENT PARSING ---
+    parser = argparse.ArgumentParser(description="Uniswap CLP Manager")
+    parser.add_argument("--force", type=float, help="Force open a position with specific range width (e.g., 0.75), ignoring AUTO safe checks.")
+    args = parser.parse_args()
+    
+    force_mode_active = False
+    force_width_pct = Decimal("0")
+    
+    if args.force:
+        force_mode_active = True
+        force_width_pct = Decimal(str(args.force)) / 100 # Convert 0.75 -> 0.0075
+        logger.warning(f"🚨 FORCE MODE ACTIVE: Will bypass safe checks for FIRST position with width {args.force}%")
+
     logger.info(f"🔷 {CONFIG['NAME']} Manager V2 Starting...")
     load_dotenv(override=True)
     
@@ -722,9 +810,23 @@ def main():
     logger.info(f"👤 Wallet: {account.address}")
     
     # Contracts
-    npm = w3.eth.contract(address=clean_address(NONFUNGIBLE_POSITION_MANAGER_ADDRESS), abi=NONFUNGIBLE_POSITION_MANAGER_ABI)
+    target_dex_name = os.environ.get("TARGET_DEX", "").upper()
+    if "AERODROME" in target_dex_name or "AERODROME" in CONFIG.get("NAME", "").upper():
+        logger.info("✈️ Using Aerodrome NPM ABI")
+        npm = w3.eth.contract(address=clean_address(NONFUNGIBLE_POSITION_MANAGER_ADDRESS), abi=AERODROME_NPM_ABI)
+    else:
+        npm = w3.eth.contract(address=clean_address(NONFUNGIBLE_POSITION_MANAGER_ADDRESS), abi=NONFUNGIBLE_POSITION_MANAGER_ABI)
+        
     factory_addr = npm.functions.factory().call()
-    factory = w3.eth.contract(address=factory_addr, abi=UNISWAP_V3_FACTORY_ABI)
+    
+    # Select Factory ABI based on DEX type
+    if "AERODROME" in target_dex_name or "AERODROME" in CONFIG.get("NAME", "").upper():
+        logger.info("✈️ Using Aerodrome Factory ABI (tickSpacing instead of fee)")
+        factory_abi = AERODROME_FACTORY_ABI
+    else:
+        factory_abi = UNISWAP_V3_FACTORY_ABI
+        
+    factory = w3.eth.contract(address=factory_addr, abi=factory_abi)
     router = w3.eth.contract(address=clean_address(UNISWAP_V3_SWAP_ROUTER_ADDRESS), abi=SWAP_ROUTER_ABI)
     
     while True:
@@ -817,7 +919,21 @@ def main():
                     pnl_unrealized = current_pos_value_usd - initial_value
                     total_pnl_usd = pnl_unrealized + total_fees_usd
 
-                    pnl_text = f" | TotPnL: ${total_pnl_usd:.2f} (Fees: ${total_fees_usd:.2f})"
+                    # --- PERSIST PERFORMANCE TO JSON ---
+                    update_position_status(token_id, "OPEN", {
+                        "clp_fees": round(float(total_fees_usd), 2),
+                        "clp_TotPnL": round(float(total_pnl_usd), 2)
+                    })
+
+                    # Calculate Fees/h
+                    fees_per_h_str = "0.00"
+                    ts_open = active_auto_pos.get('timestamp_open')
+                    if ts_open:
+                        hours_open = (time.time() - ts_open) / 3600
+                        if hours_open > 0.01:
+                            fees_per_h_str = f"{float(total_fees_usd) / hours_open:.2f}"
+
+                    pnl_text = f" | TotPnL: ${total_pnl_usd:.2f} (Fees: ${total_fees_usd:.2f} | ${fees_per_h_str}/h)"
                     logger.info(f"Position {token_id}: {status_msg} | Price: {current_price:.4f} [{lower_price:.4f} - {upper_price:.4f}]{pnl_text}")
                     
                     # --- KPI LOGGING ---
@@ -845,6 +961,32 @@ def main():
                         
                         log_kpi_snapshot(snapshot)
 
+                    # --- REPOSITION LOGIC ---
+                    pos_range_mode = active_auto_pos.get("range_mode", RANGE_MODE)
+                    
+                    if pos_range_mode == "AUTO" and CLOSE_POSITION_ENABLED:
+                        coin_for_dynamic = pos_details['token0_symbol'] if not is_t0_stable else pos_details['token1_symbol']
+                        new_range_width = calculate_dynamic_range_pct(coin_for_dynamic)
+                        
+                        if new_range_width:
+                            # Use initial width from JSON, or current config width as fallback
+                            old_range_width = Decimal(str(active_auto_pos.get("range_width_initial", RANGE_WIDTH_PCT)))
+                            
+                            # Condition A: Difference > 20%
+                            width_diff_pct = abs(new_range_width - old_range_width) / old_range_width
+                            
+                            # Condition B: Profit > 0.1%
+                            profit_pct = total_pnl_usd / initial_value
+                            
+                            logger.info(f"📊 AUTO Check: CurRange {old_range_width*100:.2f}%, NewRange {new_range_width*100:.2f}% | Diff {width_diff_pct*100:.1f}% | Profit {profit_pct*100:.2f}%")
+                            
+                            if width_diff_pct > 0.20 and profit_pct > 0.001:
+                                logger.warning(f"🔄 REPOSITION TRIGGERED: Width Diff {width_diff_pct*100:.1f}%, Profit {profit_pct*100:.2f}%")
+                                # Set in_range to False to force the closing logic below
+                                in_range = False 
+                        else:
+                            logger.warning(f"⚖️ AUTO Check Skipped: Market indicators for {coin_for_dynamic} are stale or conditions not met.")
+
                     if not in_range and CLOSE_POSITION_ENABLED:
                         logger.warning(f"🛑 Closing Position {token_id} (Out of Range)")
                         update_position_status(token_id, "CLOSING")
@@ -875,14 +1017,73 @@ def main():
                 fee = POOL_FEE
                 
                 pool_addr = factory.functions.getPool(token0, token1, fee).call()
-                pool_c = w3.eth.contract(address=pool_addr, abi=UNISWAP_V3_POOL_ABI)
+                pool_abi = AERODROME_POOL_ABI if "AERODROME" in CONFIG.get("NAME", "").upper() else UNISWAP_V3_POOL_ABI
+                pool_c = w3.eth.contract(address=pool_addr, abi=pool_abi)
                 pool_data = get_pool_dynamic_data(pool_c)
                 
                 if pool_data:
                     tick = pool_data['tick']
-                    # Define Range (+/- 2.5%)
+
-                    # log(1.025) / log(1.0001) approx 247 tick delta
+                    # --- PRE-CALCULATE ESSENTIALS ---
-                    tick_delta = int(math.log(1 + float(RANGE_WIDTH_PCT)) / math.log(1.0001))
+                    # Fetch Decimals & Symbols immediately (Required for Oracle Check)
+                    t0_c = w3.eth.contract(address=token0, abi=ERC20_ABI)
+                    t1_c = w3.eth.contract(address=token1, abi=ERC20_ABI)
+                    d0 = t0_c.functions.decimals().call()
+                    d1 = t1_c.functions.decimals().call()
+                    
+                    t0_sym = t0_c.functions.symbol().call().upper()
+                    t1_sym = t1_c.functions.symbol().call().upper()
+                    stable_symbols = ["USDC", "USDT", "DAI", "FDUSD", "USDS"]
+                    
+                    is_t1_stable = any(s in t1_sym for s in stable_symbols)
+                    is_t0_stable = any(s in t0_sym for s in stable_symbols)
+                    
+                    price_0_in_1 = price_from_sqrt_price_x96(pool_data['sqrtPriceX96'], d0, d1)
+                    
+                    # Define coin_sym early for Guard Rails
+                    coin_sym = CONFIG.get("COIN_SYMBOL", "ETH")
+
+                    # --- ORACLE GUARD RAIL ---
+                    # Protect against Pool/Oracle divergence (Manipulation/Depeg/Lag)
+                    if not force_mode_active:
+                        oracle_price = get_realtime_price(coin_sym)
+                        
+                        if oracle_price:
+                            pool_price_dec = price_0_in_1 if is_t1_stable else (Decimal("1") / price_0_in_1)
+                            divergence = abs(pool_price_dec - oracle_price) / oracle_price
+                            
+                            if divergence > Decimal("0.0025"): # 0.25% Tolerance
+                                logger.warning(f"⚠️ Price Divergence! Pool: {pool_price_dec:.2f} vs Oracle: {oracle_price:.2f} (Diff: {divergence*100:.2f}%). Aborting.")
+                                time.sleep(10)
+                                continue
+                        else:
+                            logger.warning("⚠️ Could not fetch Oracle price. Proceeding with caution (or consider aborting).")
+
+                    # --- DYNAMIC RANGE CALCULATION ---
+                    active_range_width = RANGE_WIDTH_PCT
+                    current_range_mode = RANGE_MODE
+                    
+                    # 1. PRIORITY: Force Mode
+                    if force_mode_active:
+                        logger.warning(f"🚨 FORCE OVERRIDE: Using forced width {force_width_pct*100:.2f}% (Ignoring safe checks)")
+                        active_range_width = force_width_pct
+                        current_range_mode = "FIXED"
+                        
+                    # 2. AUTO Mode (Only if not forced)
+                    elif RANGE_MODE == "AUTO":
+                        dynamic_width = calculate_dynamic_range_pct(coin_sym)
+                        if dynamic_width:
+                            active_range_width = dynamic_width
+                            logger.info(f"⚖️ AUTO Range Activated: {active_range_width*100:.4f}%")
+                        else:
+                            logger.info(f"⛔ AUTO conditions not met. Waiting for safe entry...")
+                            time.sleep(MONITOR_INTERVAL_SECONDS)
+                            continue # Skip logic
+
+                    # 3. FIXED Mode (Default Fallback) is already set by initial active_range_width
+
+                    # Define Range
+                    tick_delta = int(math.log(1 + float(active_range_width)) / math.log(1.0001))
                     
                     # Fetch actual tick spacing from pool
                     tick_spacing = pool_c.functions.tickSpacing().call()
@@ -893,28 +1094,10 @@ def main():
                     
                     # Calculate Amounts
                     # Target Value logic
-                    d0 = 18 # Default WETH (Corrected below if needed, but we rely on raw logic)
-                    # Actually, we should fetch decimals from contract to be safe, but config assumes standard.
-                    
-                    # Fetch Decimals for precision
-                    t0_c = w3.eth.contract(address=token0, abi=ERC20_ABI)
-                    t1_c = w3.eth.contract(address=token1, abi=ERC20_ABI)
-                    d0 = t0_c.functions.decimals().call()
-                    d1 = t1_c.functions.decimals().call()
                     
                     # Determine Investment Value in Token1 terms
                     target_usd = Decimal(str(TARGET_INVESTMENT_VALUE_USDC))
                     
-                    # Check which is stable
-                    t0_sym = t0_c.functions.symbol().call().upper()
-                    t1_sym = t1_c.functions.symbol().call().upper()
-                    stable_symbols = ["USDC", "USDT", "DAI", "FDUSD", "USDS"]
-                    
-                    is_t1_stable = any(s in t1_sym for s in stable_symbols)
-                    is_t0_stable = any(s in t0_sym for s in stable_symbols)
-                    
-                    price_0_in_1 = price_from_sqrt_price_x96(pool_data['sqrtPriceX96'], d0, d1)
-                    
                     investment_val_token1 = Decimal("0")
                     
                     if str(TARGET_INVESTMENT_VALUE_USDC).upper() == "MAX":
@@ -939,10 +1122,33 @@ def main():
                     amt0, amt1 = calculate_mint_amounts(tick, tick_lower, tick_upper, investment_val_token1, d0, d1, pool_data['sqrtPriceX96'])
                     
                     if check_and_swap_for_deposit(w3, router, account, token0, token1, amt0, amt1, pool_data['sqrtPriceX96'], d0, d1):
+                        # --- STALE DATA PROTECTION (Pre-Mint) ---
+                        # Check if price moved significantly during calculation/swap
+                        pre_mint_data = get_pool_dynamic_data(pool_c)
+                        if pre_mint_data:
+                            tick_diff = abs(pre_mint_data['tick'] - pool_data['tick'])
+                            # 13 ticks ~ 0.13% price move. Abort if volatile.
+                            if tick_diff > 13:
+                                logger.warning(f"⚠️ Price moved too much ({tick_diff} ticks) during setup/swap. Aborting mint to prevent bad entry.")
+                                time.sleep(5)
+                                continue
+
                         minted = mint_new_position(w3, npm, account, token0, token1, amt0, amt1, tick_lower, tick_upper, d0, d1)
                         if minted:
-                            # Calculate entry price and amounts for JSON compatibility
+                            # --- DISABLE FORCE MODE AFTER FIRST MINT ---
-                            price_0_in_1 = price_from_sqrt_price_x96(pool_data['sqrtPriceX96'], d0, d1)
+                            if force_mode_active:
+                                logger.info("🛑 FORCE MODE CONSUMED: Returning to standard AUTO checks for future positions.")
+                                force_mode_active = False
+
+                            # --- RE-FETCH PRICE FOR ACCURATE ENTRY DATA (Post-Mint) ---
+                            fresh_pool_data = get_pool_dynamic_data(pool_c)
+                            if fresh_pool_data:
+                                fresh_tick = fresh_pool_data['tick']
+                                price_0_in_1 = price_from_tick(fresh_tick, d0, d1)
+                                logger.info(f"🔄 Refreshed Entry Tick: {fresh_tick} (Was: {pool_data['tick']})")
+                            else:
+                                price_0_in_1 = price_from_tick(pool_data['tick'], d0, d1)
+                            
                             fmt_amt0 = float(Decimal(minted['amount0']) / Decimal(10**d0))
                             fmt_amt1 = float(Decimal(minted['amount1']) / Decimal(10**d1))
                             
@@ -970,6 +1176,8 @@ def main():
                                 "range_lower": round(r_lower, 4),
                                 "token0_decimals": d0,
                                 "token1_decimals": d1,
+                                "range_mode": current_range_mode,
+                                "range_width_initial": float(active_range_width),
                                 "timestamp_open": int(time.time()),
                                 "time_open": datetime.now().strftime("%d.%m.%y %H:%M:%S")
                             }

doc/CLP_HEDGING_SIMULATIONS_2026.md

@@ -0,0 +1,104 @@
+# CLP Hedging Strategy Matrix (Jan 2026)
+
+*Based on ETH/USDC 0.05% Arbitrum Pool Stats: TVL $74.53M, 24h Vol $23.27M.*
+*Calculations include 0.045% round-trip Hyperliquid fees and concentration-adjusted Uniswap fees.*
+
+This document outlines the projected PnL, required hedge sizes, and estimated earnings for different CLP configurations, assuming a fixed hedge position is maintained from entry to exit.
+
+## Technical Assumptions & Methodology
+1.  **Transaction Costs:** Calculations include Hyperliquid fees (~0.045% round-trip: 0.01% Maker Entry + 0.035% Taker Exit).
+2.  **Uniswap Fees:** Est. Fees (1h) are calculated using the pool's volume/TVL ratio and a concentration multiplier based on the range width.
+3.  **Static Hedge:** Assumes the hedge position is opened at the exact same time as the CLP and is **never rebalanced** until the CLP is closed at the range boundary.
+4.  **Delta Calculation:**
+    *   **Lower Edge:** Position becomes 100% ETH (Max Long Delta).
+    *   **Upper Edge:** Position becomes 100% USDC (Zero Delta).
+
+---
+
+## Capital: $1000 USDC
+| Range | Strategy | Hedge Size | Margin (5x) | PnL Lower | PnL Upper | Est. Fees (1h) |
+| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
+| +/- 0.5 % | Neutral Down | 0.2746 ETH | $167.94 | +0.00 | -3.40 | $1.30 |
+|  | Neutral Up | 0.0520 ETH | $31.81 | -3.40 | +0.00 |  |
+|  | Fixed | 0.1631 ETH | $99.75 | -1.70 | -1.70 |  |
+| +/- 1.0 % | Neutral Down | 0.2598 ETH | $158.88 | -0.00 | -5.91 | $0.65 |
+|  | Neutral Up | 0.0664 ETH | $40.63 | -5.91 | +0.00 |  |
+|  | Fixed | 0.1627 ETH | $99.50 | -2.97 | -2.94 |  |
+| +/- 2.0 % | Neutral Down | 0.2522 ETH | $154.26 | +0.00 | -10.95 | $0.33 |
+|  | Neutral Up | 0.0732 ETH | $44.76 | -10.95 | +0.00 |  |
+|  | Fixed | 0.1619 ETH | $99.00 | -5.53 | -5.42 |  |
+| +/- 4.0 % | Neutral Down | 0.2482 ETH | $151.78 | +0.00 | -21.10 | $0.17 |
+|  | Neutral Up | 0.0757 ETH | $46.28 | -21.10 | +0.00 |  |
+|  | Fixed | 0.1603 ETH | $98.02 | -10.75 | -10.35 |  |
+| +/- 5.0 % | Neutral Down | 0.2473 ETH | $151.22 | +0.00 | -26.21 | $0.13 |
+|  | Neutral Up | 0.0758 ETH | $46.37 | -26.21 | +0.00 |  |
+|  | Fixed | 0.1595 ETH | $97.53 | -13.42 | -12.79 |  |
+| +/- 10.0 % | Neutral Down | 0.2450 ETH | $149.84 | +0.00 | -52.16 | $0.07 |
+|  | Neutral Up | 0.0744 ETH | $45.52 | -52.16 | +0.00 |  |
+|  | Fixed | 0.1555 ETH | $95.12 | -27.36 | -24.80 |  |
+
+## Capital: $2000 USDC
+| Range | Strategy | Hedge Size | Margin (5x) | PnL Lower | PnL Upper | Est. Fees (1h) |
+| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
+| +/- 0.5 % | Neutral Down | 0.5492 ETH | $335.88 | +0.00 | -6.81 | $2.61 |
+|  | Neutral Up | 0.1040 ETH | $63.63 | -6.81 | -0.00 |  |
+|  | Fixed | 0.3262 ETH | $199.50 | -3.41 | -3.40 |  |
+| +/- 1.0 % | Neutral Down | 0.5196 ETH | $317.75 | +0.00 | -11.83 | $1.31 |
+|  | Neutral Up | 0.1329 ETH | $81.25 | -11.83 | -0.00 |  |
+|  | Fixed | 0.3254 ETH | $199.00 | -5.94 | -5.89 |  |
+| +/- 2.0 % | Neutral Down | 0.5045 ETH | $308.52 | +0.00 | -21.90 | $0.66 |
+|  | Neutral Up | 0.1464 ETH | $89.51 | -21.90 | -0.00 |  |
+|  | Fixed | 0.3238 ETH | $198.01 | -11.05 | -10.85 |  |
+| +/- 4.0 % | Neutral Down | 0.4964 ETH | $303.56 | +0.00 | -42.20 | $0.33 |
+|  | Neutral Up | 0.1514 ETH | $92.56 | -42.20 | +0.00 |  |
+|  | Fixed | 0.3206 ETH | $196.04 | -21.50 | -20.70 |  |
+| +/- 5.0 % | Neutral Down | 0.4946 ETH | $302.44 | +0.00 | -52.43 | $0.27 |
+|  | Neutral Up | 0.1517 ETH | $92.74 | -52.43 | +0.00 |  |
+|  | Fixed | 0.3190 ETH | $195.06 | -26.85 | -25.58 |  |
+| +/- 10.0 % | Neutral Down | 0.4900 ETH | $299.68 | +0.00 | -104.31 | $0.14 |
+|  | Neutral Up | 0.1489 ETH | $91.05 | -104.31 | +0.00 |  |
+|  | Fixed | 0.3111 ETH | $190.23 | -54.72 | -49.59 |  |
+
+## Capital: $4000 USDC
+| Range | Strategy | Hedge Size | Margin (5x) | PnL Lower | PnL Upper | Est. Fees (1h) |
+| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
+| +/- 0.5 % | Neutral Down | 1.0985 ETH | $671.75 | -0.00 | -13.61 | $5.22 |
+|  | Neutral Up | 0.2081 ETH | $127.25 | -13.61 | +0.00 |  |
+|  | Fixed | 0.6525 ETH | $399.00 | -6.82 | -6.79 |  |
+| +/- 1.0 % | Neutral Down | 1.0392 ETH | $635.51 | -0.00 | -23.65 | $2.61 |
+|  | Neutral Up | 0.2657 ETH | $162.51 | -23.65 | +0.00 |  |
+|  | Fixed | 0.6508 ETH | $398.00 | -11.88 | -11.77 |  |
+| +/- 2.0 % | Neutral Down | 1.0090 ETH | $617.03 | +0.00 | -43.80 | $1.31 |
+|  | Neutral Up | 0.2928 ETH | $179.03 | -43.80 | +0.00 |  |
+|  | Fixed | 0.6476 ETH | $396.02 | -22.10 | -21.70 |  |
+| +/- 4.0 % | Neutral Down | 0.9928 ETH | $607.12 | +0.00 | -84.40 | $0.66 |
+|  | Neutral Up | 0.3027 ETH | $185.12 | -84.40 | +0.00 |  |
+|  | Fixed | 0.6411 ETH | $392.08 | -43.01 | -41.39 |  |
+| +/- 5.0 % | Neutral Down | 0.9891 ETH | $604.89 | +0.00 | -104.85 | $0.53 |
+|  | Neutral Up | 0.3033 ETH | $185.48 | -104.85 | +0.00 |  |
+|  | Fixed | 0.6379 ETH | $390.12 | -53.69 | -51.16 |  |
+| +/- 10.0 % | Neutral Down | 0.9801 ETH | $599.36 | +0.00 | -208.63 | $0.27 |
+|  | Neutral Up | 0.2978 ETH | $182.10 | -208.63 | +0.00 |  |
+|  | Fixed | 0.6222 ETH | $380.46 | -109.45 | -99.18 |  |
+
+## Capital: $8000 USDC
+| Range | Strategy | Hedge Size | Margin (5x) | PnL Lower | PnL Upper | Est. Fees (1h) |
+| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
+| +/- 0.5 % | Neutral Down | 2.1970 ETH | $1343.50 | +0.00 | -27.23 | $10.43 |
+|  | Neutral Up | 0.4162 ETH | $254.50 | -27.23 | +0.00 |  |
+|  | Fixed | 1.3049 ETH | $798.00 | -13.64 | -13.59 |  |
+| +/- 1.0 % | Neutral Down | 2.0784 ETH | $1271.02 | -0.00 | -47.30 | $5.23 |
+|  | Neutral Up | 0.5315 ETH | $325.01 | -47.30 | +0.00 |  |
+|  | Fixed | 1.3017 ETH | $796.01 | -23.75 | -23.55 |  |
+| +/- 2.0 % | Neutral Down | 2.0180 ETH | $1234.06 | +0.00 | -87.60 | $2.63 |
+|  | Neutral Up | 0.5855 ETH | $358.06 | -87.60 | +0.00 |  |
+|  | Fixed | 1.2952 ETH | $792.04 | -44.20 | -43.40 |  |
+| +/- 4.0 % | Neutral Down | 1.9856 ETH | $1214.24 | +0.00 | -168.80 | $1.33 |
+|  | Neutral Up | 0.6054 ETH | $370.23 | -168.80 | -0.00 |  |
+|  | Fixed | 1.2823 ETH | $784.16 | -86.02 | -82.78 |  |
+| +/- 5.0 % | Neutral Down | 1.9783 ETH | $1209.78 | +0.00 | -209.70 | $1.07 |
+|  | Neutral Up | 0.6066 ETH | $370.96 | -209.70 | -0.00 |  |
+|  | Fixed | 1.2759 ETH | $780.24 | -107.38 | -102.32 |  |
+| +/- 10.0 % | Neutral Down | 1.9602 ETH | $1198.71 | +0.00 | -417.26 | $0.55 |
+|  | Neutral Up | 0.5956 ETH | $364.20 | -417.26 | +0.00 |  |
+|  | Fixed | 1.2443 ETH | $760.93 | -218.89 | -198.36 |  |

florida/AERODROME_BASE_CL_status.json

@@ -0,0 +1,44 @@
+[
+  {
+    "type": "AUTOMATIC",
+    "token_id": 41577981,
+    "status": "CLOSED",
+    "target_value": 99.99,
+    "entry_price": 3146.0405,
+    "amount0_initial": 0.0153,
+    "amount1_initial": 51.8762,
+    "liquidity": "36103333466890",
+    "range_upper": 3301.0555,
+    "range_lower": 2986.9335,
+    "token0_decimals": 18,
+    "token1_decimals": 6,
+    "timestamp_open": 1767561751,
+    "time_open": "04.01.26 22:22:31",
+    "clp_fees": 0.0,
+    "clp_TotPnL": -0.04
+  },
+  {
+    "type": "AUTOMATIC",
+    "token_id": 41584557,
+    "status": "CLOSED",
+    "target_value": 199.94,
+    "entry_price": 3147.2991,
+    "amount0_initial": 0.0307,
+    "amount1_initial": 103.2276,
+    "liquidity": "51814114093918",
+    "range_upper": 3367.7379,
+    "range_lower": 2927.7912,
+    "token0_decimals": 18,
+    "token1_decimals": 6,
+    "timestamp_open": 1767564277,
+    "time_open": "04.01.26 23:04:37",
+    "clp_fees": 0.39,
+    "clp_TotPnL": 1.98,
+    "hedge_TotPnL": -50.537316,
+    "hedge_fees_paid": 12.238471,
+    "combined_TotPnL": -62.76,
+    "hedge_HL_cost_est": 12.28,
+    "hedge_pnl_unrealized": -2.07,
+    "last_sync_hl": 1767685736
+  }
+]

florida/GEMINI.md

@@ -43,76 +43,29 @@ The system consists of three independent Python processes that coordinate via sh
 | `telegram_monitor.py` | Telegram bot for notifications. |
 | `{TARGET_DEX}_status.json` | **Critical:** Shared state file acting as the database between Manager and Hedger. |
 | `.env` | Stores secrets (Private Keys, RPCs). **Do not commit.** |
+| `tests/backtest/` | **New:** Professional Backtesting & Optimization Framework. |
 | `tools/` | Utility scripts, including the Git Agent for auto-backups. |
 | `logs/` | Detailed logs for all processes. |
 
-## Configuration
+## Backtesting Framework (Jan 2026 Update)
+A robust simulation engine has been implemented to validate strategies before capital commitment.
 
-### Environment Variables (`.env`)
+### Components
-Required variables for operation:
+*   **`tests/backtest/backtester.py`**: Event-driven engine mocking Web3/Hyperliquid interactions.
-```env
+*   **`tests/backtest/mocks.py`**: Stateful simulator handling balance tracking, V3 tick math, and fee accrual.
-# Blockchain
+*   **`tests/backtest/grid_search.py`**: Optimization runner to test parameter combinations (Range Width, Hedging Threshold).
-MAINNET_RPC_URL=...      # Arbitrum
+*   **`tests/backtest/analyze_results.py`**: Helper to interpret simulation CSV results.
-BNB_RPC_URL=...          # BNB Chain
-BASE_RPC_URL=...         # Base
-MAIN_WALLET_PRIVATE_KEY=...
-MAIN_WALLET_ADDRESS=...
 
-# Hyperliquid
+### Progress Status (Jan 1, 2026)
-HEDGER_PRIVATE_KEY=...   # Usually same as Main Wallet or specialized sub-account
+*   **Completed:**
-
+    *   Simulation loop runs end-to-end (Mint -> Accrue Fees -> Close).
-# Telegram
+    *   Fixed Mock Pricing logic (handling inverted T0/T1 pairs like USDT/WBNB).
-TELEGRAM_BOT_TOKEN=...
+    *   Implemented realistic Fee Accrual based on Trade Volume + Market Share.
-TELEGRAM_CHAT_ID=...
+    *   Verified "In Range" detection and position lifecycle.
-TELEGRAM_MONITOR_ENABLED=True
+*   **Pending / Next Steps:**
-```
+    *   **Hedger PnL Verification:** Simulation showed 0.0 Hedging Fees because the price volatility in the 1-day sample was too low to trigger the 10% rebalance threshold. We are lowering thresholds to 1% to force activity and verify costs.
-
+    *   **NAV Calculation:** Refine "Total PnL" to include Unrealized PnL from both LP and Hedge to handle Impermanent Loss correctly.
-### Strategy Config (`clp_config.py`)
+    *   **Final Optimization:** Run the `grid_search.py` with the corrected Market Share (0.02%) and lower thresholds to find the profitable "Sweet Spot".
-Key parameters controlling the bot's behavior:
-*   `TARGET_DEX`: Selects the active chain/profile (e.g., "UNISWAP_V3", "PANCAKESWAP_BNB").
-*   `RANGE_WIDTH_PCT`: Width of the LP position (e.g., `0.05` for +/- 5%).
-*   `TARGET_INVESTMENT_AMOUNT`: Notional size of the position in USD.
-*   `SLIPPAGE_TOLERANCE`: Max slippage for minting/swapping.
-
-## Usage
-
-The system is designed to run continuously. It is recommended to use a process manager like `pm2` or `systemd`, or simply run in separate terminal tabs.
-
-1.  **Start the Manager:**
-    ```bash
-    python clp_manager.py
-    ```
-    *   *Action:* Will check for existing positions. If none, it prepares to open one based on config.
-
-2.  **Start the Hedger:**
-    ```bash
-    python clp_hedger.py
-    ```
-    *   *Action:* Will read the position created by the Manager and open a corresponding short on Hyperliquid.
-
-3.  **Start Monitoring (Optional):**
-    ```bash
-    python telegram_monitor.py
-    ```
-
-## Development & Git Agent
-
-This project uses a custom **Git Agent** (`tools/git_agent.py`) for automated version control and backups.
-
-*   **Auto-Backup:** Runs hourly (if configured) to create backup branches (e.g., `backup-2025-01-01-12`).
-*   **Manual Commit:**
-    ```bash
-    python tools/git_agent.py --backup
-    ```
-*   **Status:**
-    ```bash
-    python tools/git_agent.py --status
-    ```
-*   **Restoration:**
-    To restore a file from a backup branch:
-    ```bash
-    git checkout backup-BRANCH-NAME -- path/to/file.py
-    ```
 
 ## Logic Details
 

florida/PANCAKESWAP_BNB_status.json

@@ -201,9 +201,9 @@
   {
     "type": "AUTOMATIC",
     "token_id": 6164702,
-    "status": "OPEN",
+    "status": "CLOSED",
-    "target_value": 981.88,
+    "target_value": 993.41,
-    "entry_price": 846.4517,
+    "entry_price": 866.3337,
     "amount0_initial": 490.942,
     "amount1_initial": 0.58,
     "liquidity": "8220443727732589279738",
@@ -212,7 +212,471 @@
     "token0_decimals": 18,
     "token1_decimals": 18,
     "timestamp_open": 1767164052,
-    "hedge_TotPnL": -0.026171,
+    "hedge_TotPnL": -3.587319,
-    "hedge_fees_paid": 0.097756
+    "hedge_fees_paid": 0.723066,
+    "clp_fees": 1.75,
+    "clp_TotPnL": 0.31,
+    "timestamp_close": 1767189814,
+    "time_close": "31.12.25 15:03:34"
+  },
+  {
+    "type": "AUTOMATIC",
+    "token_id": 6166625,
+    "status": "CLOSED",
+    "target_value": 996.7,
+    "entry_price": 873.896,
+    "amount0_initial": 496.6816,
+    "amount1_initial": 0.5722,
+    "liquidity": "8653989263919246133281",
+    "range_upper": 877.3107,
+    "range_lower": 870.4946,
+    "token0_decimals": 18,
+    "token1_decimals": 18,
+    "timestamp_open": 1767190229,
+    "time_open": "31.12.25 15:10:29",
+    "hedge_TotPnL": 4.004047,
+    "hedge_fees_paid": 0.807563,
+    "clp_fees": 0.34,
+    "clp_TotPnL": -3.96,
+    "timestamp_close": 1767191809,
+    "time_close": "31.12.25 15:36:49"
+  },
+  {
+    "type": "AUTOMATIC",
+    "token_id": 6166939,
+    "status": "CLOSED",
+    "target_value": 999.11,
+    "entry_price": 866.9331,
+    "amount0_initial": 500.0004,
+    "amount1_initial": 0.5757,
+    "liquidity": "8709690098157915483248",
+    "range_upper": 870.3205,
+    "range_lower": 863.5588,
+    "token0_decimals": 18,
+    "token1_decimals": 18,
+    "timestamp_open": 1767192966,
+    "time_open": "31.12.25 15:56:06",
+    "hedge_TotPnL": 1.064447,
+    "hedge_fees_paid": 0.927408,
+    "clp_fees": 0.3,
+    "clp_TotPnL": -2.71,
+    "timestamp_close": 1767193991,
+    "time_close": "31.12.25 16:13:11"
+  },
+  {
+    "type": "AUTOMATIC",
+    "token_id": 6167093,
+    "status": "CLOSED",
+    "target_value": 996.69,
+    "entry_price": 864.077,
+    "amount0_initial": 500.0128,
+    "amount1_initial": 0.5748,
+    "liquidity": "8702875143941291654654",
+    "range_upper": 867.4533,
+    "range_lower": 860.7139,
+    "token0_decimals": 18,
+    "token1_decimals": 18,
+    "timestamp_open": 1767194522,
+    "time_open": "31.12.25 16:22:02",
+    "hedge_TotPnL": -3.013382,
+    "hedge_fees_paid": 0.814047,
+    "clp_fees": 0.95,
+    "clp_TotPnL": -2.76,
+    "timestamp_close": 1767199352,
+    "time_close": "31.12.25 17:42:32"
+  },
+  {
+    "type": "AUTOMATIC",
+    "token_id": 6167590,
+    "status": "CLOSED",
+    "target_value": 998.37,
+    "entry_price": 861.6611,
+    "amount0_initial": 498.363,
+    "amount1_initial": 0.5803,
+    "liquidity": "8729751956580574272932",
+    "range_upper": 865.028,
+    "range_lower": 858.3074,
+    "token0_decimals": 18,
+    "token1_decimals": 18,
+    "timestamp_open": 1767200083,
+    "time_open": "31.12.25 17:54:43",
+    "hedge_TotPnL": -4.720271,
+    "hedge_fees_paid": 1.311938,
+    "clp_fees": 1.95,
+    "clp_TotPnL": 2.92,
+    "timestamp_close": 1767217535,
+    "time_close": "31.12.25 22:45:35"
+  },
+  {
+    "type": "AUTOMATIC",
+    "token_id": 6168553,
+    "status": "CLOSED",
+    "target_value": 991.55,
+    "entry_price": 865.4606,
+    "amount0_initial": 491.5385,
+    "amount1_initial": 0.5777,
+    "liquidity": "8651067937842123260294",
+    "range_upper": 868.8423,
+    "range_lower": 862.092,
+    "token0_decimals": 18,
+    "token1_decimals": 18,
+    "timestamp_open": 1767217854,
+    "time_open": "31.12.25 22:50:54",
+    "hedge_TotPnL": -3.016562,
+    "hedge_fees_paid": 0.460066,
+    "clp_fees": 0.58,
+    "clp_TotPnL": 1.55,
+    "timestamp_close": 1767229894,
+    "time_close": "01.01.26 02:11:34"
+  },
+  {
+    "type": "AUTOMATIC",
+    "token_id": 6169279,
+    "status": "CLOSED",
+    "target_value": 993.04,
+    "entry_price": 869.1899,
+    "amount0_initial": 493.031,
+    "amount1_initial": 0.5753,
+    "liquidity": "8645470844979366936741",
+    "range_upper": 872.5862,
+    "range_lower": 865.8068,
+    "token0_decimals": 18,
+    "token1_decimals": 18,
+    "timestamp_open": 1767230090,
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florida/UNISWAP_V3_status.json

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+    "clp_TotPnL": 9.87,
+    "hedge_TotPnL": -2.74009,
+    "hedge_fees_paid": 3.283603,
+    "timestamp_close": 1767561023,
+    "time_close": "04.01.26 22:10:23"
+  },
+  {
+    "type": "AUTOMATIC",
+    "token_id": 5194064,
+    "status": "CLOSED",
+    "target_value": 2995.07,
+    "entry_price": 3149.8178,
+    "amount0_initial": 0.4308,
+    "amount1_initial": 1638.2123,
+    "liquidity": "8224032596348534",
+    "range_upper": 3168.4557,
+    "range_lower": 3127.5344,
+    "token0_decimals": 18,
+    "token1_decimals": 6,
+    "timestamp_open": 1767561335,
+    "time_open": "04.01.26 22:15:35",
+    "hedge_TotPnL": -10.8216,
+    "hedge_fees_paid": 0.744327,
+    "clp_fees": 10.96,
+    "clp_TotPnL": 14.98,
+    "timestamp_close": 1767574703,
+    "time_close": "05.01.26 01:58:23"
+  },
+  {
+    "type": "AUTOMATIC",
+    "token_id": 5194353,
+    "status": "CLOSED",
+    "target_value": 2986.84,
+    "entry_price": 3167.1887,
+    "amount0_initial": 0.4622,
+    "amount1_initial": 1523.0178,
+    "liquidity": "8178792616583388",
+    "range_upper": 3187.5227,
+    "range_lower": 3146.3551,
+    "token0_decimals": 18,
+    "token1_decimals": 6,
+    "timestamp_open": 1767575103,
+    "time_open": "05.01.26 02:05:03",
+    "hedge_TotPnL": -11.72105,
+    "hedge_fees_paid": 0.851074,
+    "clp_fees": 1.32,
+    "clp_TotPnL": 6.03,
+    "timestamp_close": 1767575748,
+    "time_close": "05.01.26 02:15:48"
+  },
+  {
+    "type": "AUTOMATIC",
+    "token_id": 5194438,
+    "status": "CLOSED",
+    "target_value": 2994.26,
+    "entry_price": 3182.7452,
+    "amount0_initial": 0.4695,
+    "amount1_initial": 1499.9963,
+    "liquidity": "8179052347416944",
+    "range_upper": 3203.4994,
+    "range_lower": 3162.1255,
+    "token0_decimals": 18,
+    "token1_decimals": 6,
+    "timestamp_open": 1767576062,
+    "time_open": "05.01.26 02:21:02",
+    "hedge_TotPnL": -13.130776,
+    "hedge_fees_paid": 0.866544,
+    "clp_fees": 2.0,
+    "clp_TotPnL": 6.88,
+    "timestamp_close": 1767577312,
+    "time_close": "05.01.26 02:41:52"
+  },
+  {
+    "type": "AUTOMATIC",
+    "token_id": 5194549,
+    "status": "CLOSED",
+    "target_value": 2993.07,
+    "entry_price": 3209.2706,
+    "amount0_initial": 0.4437,
+    "amount1_initial": 1569.0894,
+    "liquidity": "8141974814554655",
+    "range_upper": 3229.2289,
+    "range_lower": 3187.5227,
+    "token0_decimals": 18,
+    "token1_decimals": 6,
+    "timestamp_open": 1767577667,
+    "time_open": "05.01.26 02:47:47",
+    "hedge_TotPnL": 9.143032,
+    "hedge_fees_paid": 0.817659,
+    "clp_fees": 1.68,
+    "clp_TotPnL": -14.2,
+    "timestamp_close": 1767578919,
+    "time_close": "05.01.26 03:08:39"
+  },
+  {
+    "type": "AUTOMATIC",
+    "token_id": 5194636,
+    "status": "CLOSED",
+    "target_value": 2999.61,
+    "entry_price": 3191.6689,
+    "amount0_initial": 0.4122,
+    "amount1_initial": 1683.9338,
+    "liquidity": "8182395676682951",
+    "range_upper": 3209.9125,
+    "range_lower": 3168.4557,
+    "token0_decimals": 18,
+    "token1_decimals": 6,
+    "timestamp_open": 1767579235,
+    "time_open": "05.01.26 03:13:55",
+    "hedge_TotPnL": 12.194039,
+    "hedge_fees_paid": 0.752756,
+    "clp_fees": 4.31,
+    "clp_TotPnL": -14.67,
+    "timestamp_close": 1767587437,
+    "time_close": "05.01.26 05:30:37"
+  },
+  {
+    "type": "AUTOMATIC",
+    "token_id": 5194825,
+    "status": "CLOSED",
+    "target_value": 2968.38,
+    "entry_price": 3162.4417,
+    "amount0_initial": 0.4206,
+    "amount1_initial": 1638.1774,
+    "liquidity": "8134444867821814",
+    "range_upper": 3181.1543,
+    "range_lower": 3140.069,
+    "token0_decimals": 18,
+    "token1_decimals": 6,
+    "timestamp_open": 1767587750,
+    "time_open": "05.01.26 05:35:50",
+    "hedge_TotPnL": -0.1704,
+    "hedge_fees_paid": 1.553601,
+    "clp_fees": 15.16,
+    "clp_TotPnL": 10.5,
+    "combined_TotPnL": 13.22,
+    "hedge_HL_cost_est": 0.77,
+    "hedge_pnl_unrealized": 4.3,
+    "last_sync_hl": 1767622049,
+    "timestamp_close": 1767622037,
+    "time_close": "05.01.26 15:07:17"
+  },
+  {
+    "type": "AUTOMATIC",
+    "token_id": 5195733,
+    "status": "CLOSED",
+    "target_value": 2984.65,
+    "entry_price": 3150.7629,
+    "amount0_initial": 0.4341,
+    "amount1_initial": 1617.0073,
+    "liquidity": "4637302533941787",
+    "range_upper": 3184.3369,
+    "range_lower": 3111.9366,
+    "token0_decimals": 18,
+    "token1_decimals": 6,
+    "range_mode": "AUTO",
+    "range_width_initial": 0.01160980429312654,
+    "timestamp_open": 1767622560,
+    "time_open": "05.01.26 15:16:00",
+    "hedge_TotPnL": -3.139154,
+    "hedge_fees_paid": 0.793472,
+    "combined_TotPnL": 1.6,
+    "hedge_HL_cost_est": 0.79,
+    "hedge_pnl_unrealized": -2.92,
+    "last_sync_hl": 1767624126,
+    "clp_fees": 2.68,
+    "clp_TotPnL": 5.4,
+    "timestamp_close": 1767624113,
+    "time_close": "05.01.26 15:41:53"
+  },
+  {
+    "type": "AUTOMATIC",
+    "token_id": 5195860,
+    "status": "CLOSED",
+    "target_value": 2976.38,
+    "entry_price": 3157.3861,
+    "amount0_initial": 0.438,
+    "amount1_initial": 1593.5552,
+    "liquidity": "6634808665424129",
+    "range_upper": 3181.1543,
+    "range_lower": 3130.6634,
+    "token0_decimals": 18,
+    "token1_decimals": 6,
+    "range_mode": "AUTO",
+    "range_width_initial": 0.008451255668317245,
+    "timestamp_open": 1767624512,
+    "time_open": "05.01.26 15:48:32",
+    "hedge_TotPnL": -4.258952,
+    "hedge_fees_paid": 0.804724,
+    "combined_TotPnL": 0.01,
+    "hedge_HL_cost_est": 0.81,
+    "hedge_pnl_unrealized": -3.03,
+    "last_sync_hl": 1767624869,
+    "clp_fees": 1.25,
+    "clp_TotPnL": 4.26,
+    "timestamp_close": 1767624855,
+    "time_close": "05.01.26 15:54:15"
+  },
+  {
+    "type": "AUTOMATIC",
+    "token_id": 5195910,
+    "status": "CLOSED",
+    "target_value": 2957.51,
+    "entry_price": 3166.872,
+    "amount0_initial": 0.4342,
+    "amount1_initial": 1582.386,
+    "liquidity": "8772781500746006",
+    "range_upper": 3184.3369,
+    "range_lower": 3146.3551,
+    "token0_decimals": 18,
+    "token1_decimals": 6,
+    "range_mode": "AUTO",
+    "range_width_initial": 0.00610577067463115,
+    "timestamp_open": 1767625173,
+    "time_open": "05.01.26 15:59:33",
+    "hedge_TotPnL": -6.49276,
+    "hedge_fees_paid": 0.782891,
+    "combined_TotPnL": 2.73,
+    "hedge_HL_cost_est": 0.78,
+    "hedge_pnl_unrealized": -5.77,
+    "last_sync_hl": 1767627649,
+    "clp_fees": 5.74,
+    "clp_TotPnL": 9.23,
+    "timestamp_close": 1767627635,
+    "time_close": "05.01.26 16:40:35"
+  },
+  {
+    "type": "AUTOMATIC",
+    "token_id": 5196059,
+    "status": "CLOSED",
+    "target_value": 2984.89,
+    "entry_price": 3194.862,
+    "amount0_initial": 0.4148,
+    "amount1_initial": 1659.6726,
+    "liquidity": "7054813881893230",
+    "range_upper": 3216.3384,
+    "range_lower": 3168.4557,
+    "token0_decimals": 18,
+    "token1_decimals": 6,
+    "range_mode": "FIXED",
+    "range_width_initial": 0.0075,
+    "timestamp_open": 1767627994,
+    "time_open": "05.01.26 16:46:34",
+    "hedge_TotPnL": 9.768993,
+    "hedge_fees_paid": 0.761925,
+    "combined_TotPnL": -3.68,
+    "hedge_HL_cost_est": 0.76,
+    "hedge_pnl_unrealized": 13.07,
+    "last_sync_hl": 1767633796,
+    "clp_fees": 6.47,
+    "clp_TotPnL": -13.17,
+    "timestamp_close": 1767633781,
+    "time_close": "05.01.26 18:23:01"
+  },
+  {
+    "type": "AUTOMATIC",
+    "token_id": 5196356,
+    "status": "CLOSED",
+    "target_value": 2970.03,
+    "entry_price": 3162.7579,
+    "amount0_initial": 0.4513,
+    "amount1_initial": 1542.7246,
+    "liquidity": "7558082601107499",
+    "range_upper": 3184.3369,
+    "range_lower": 3140.069,
+    "token0_decimals": 18,
+    "token1_decimals": 6,
+    "range_mode": "AUTO",
+    "range_width_initial": 0.007188283945973874,
+    "timestamp_open": 1767634095,
+    "time_open": "05.01.26 18:28:15",
+    "hedge_TotPnL": -5.78208,
+    "hedge_fees_paid": 0.833176,
+    "combined_TotPnL": -1.93,
+    "hedge_HL_cost_est": 0.83,
+    "hedge_pnl_unrealized": -5.65,
+    "last_sync_hl": 1767634756,
+    "clp_fees": 0.53,
+    "clp_TotPnL": 4.88,
+    "timestamp_close": 1767634742,
+    "time_close": "05.01.26 18:39:02"
+  },
+  {
+    "type": "AUTOMATIC",
+    "token_id": 5196394,
+    "status": "CLOSED",
+    "target_value": 2997.55,
+    "entry_price": 3187.5227,
+    "amount0_initial": 0.4385,
+    "amount1_initial": 1599.8109,
+    "liquidity": "7092801036999878",
+    "range_upper": 3209.9125,
+    "range_lower": 3162.1255,
+    "token0_decimals": 18,
+    "token1_decimals": 6,
+    "range_mode": "FIXED",
+    "range_width_initial": 0.0075,
+    "timestamp_open": 1767635055,
+    "time_open": "05.01.26 18:44:15",
+    "hedge_TotPnL": -10.899792,
+    "hedge_fees_paid": 0.809798,
+    "combined_TotPnL": 5.4,
+    "hedge_HL_cost_est": 0.61,
+    "hedge_pnl_unrealized": 0.0,
+    "last_sync_hl": 1767635701,
+    "clp_fees": 1.13,
+    "clp_TotPnL": 6.03,
+    "timestamp_close": 1767635701,
+    "time_close": "05.01.26 18:55:01"
+  },
+  {
+    "type": "AUTOMATIC",
+    "token_id": 5196471,
+    "status": "CLOSED",
+    "target_value": 2980.42,
+    "entry_price": 3209.5915,
+    "amount0_initial": 0.4364,
+    "amount1_initial": 1579.8119,
+    "liquidity": "7027957507483544",
+    "range_upper": 3232.4596,
+    "range_lower": 3184.3369,
+    "token0_decimals": 18,
+    "token1_decimals": 6,
+    "range_mode": "FIXED",
+    "range_width_initial": 0.0075,
+    "timestamp_open": 1767636146,
+    "time_open": "05.01.26 19:02:26",
+    "hedge_TotPnL": -13.87062,
+    "hedge_fees_paid": 0.817984,
+    "combined_TotPnL": -2.61,
+    "hedge_HL_cost_est": 1.43,
+    "hedge_pnl_unrealized": 0.0,
+    "last_sync_hl": 1767643534,
+    "clp_fees": 7.68,
+    "clp_TotPnL": 12.7,
+    "timestamp_close": 1767643533,
+    "time_close": "05.01.26 21:05:33"
+  },
+  {
+    "type": "AUTOMATIC",
+    "token_id": 5196956,
+    "status": "CLOSED",
+    "target_value": 2977.3,
+    "entry_price": 3232.7828,
+    "amount0_initial": 0.4269,
+    "amount1_initial": 1597.0858,
+    "liquidity": "6995425133879491",
+    "range_upper": 3255.165,
+    "range_lower": 3206.7043,
+    "token0_decimals": 18,
+    "token1_decimals": 6,
+    "range_mode": "FIXED",
+    "range_width_initial": 0.0075,
+    "timestamp_open": 1767643849,
+    "time_open": "05.01.26 21:10:49",
+    "hedge_TotPnL": -1.356196,
+    "hedge_fees_paid": 1.243909,
+    "combined_TotPnL": -3.62,
+    "hedge_HL_cost_est": 1.58,
+    "hedge_pnl_unrealized": 9.64,
+    "last_sync_hl": 1767660041,
+    "clp_fees": 10.88,
+    "clp_TotPnL": -7.56,
+    "timestamp_close": 1767660028,
+    "time_close": "06.01.26 01:40:28"
+  },
+  {
+    "type": "AUTOMATIC",
+    "token_id": 5198324,
+    "status": "OPEN",
+    "target_value": 2981.26,
+    "entry_price": 3217.6251,
+    "amount0_initial": 0.4045,
+    "amount1_initial": 1679.6194,
+    "liquidity": "7021319704792719",
+    "range_upper": 3238.9306,
+    "range_lower": 3190.7116,
+    "token0_decimals": 18,
+    "token1_decimals": 6,
+    "range_mode": "AUTO",
+    "range_width_initial": 0.007592620856214823,
+    "timestamp_open": 1767688223,
+    "time_open": "06.01.26 09:30:23",
+    "hedge_TotPnL": 0.0,
+    "hedge_fees_paid": 0.0,
+    "combined_TotPnL": -0.47,
+    "hedge_HL_cost_est": 0.57,
+    "hedge_pnl_unrealized": 0.72,
+    "last_sync_hl": 1767689255,
+    "clp_fees": 0.12,
+    "clp_TotPnL": 0.64
   }
 ]

florida/clp_abis.py

@@ -0,0 +1,82 @@
+import json
+
+NONFUNGIBLE_POSITION_MANAGER_ABI = json.loads('''
+[
+    {"anonymous": false, "inputs": [{"indexed": true, "internalType": "uint256", "name": "tokenId", "type": "uint256"}, {"indexed": false, "internalType": "uint128", "name": "liquidity", "type": "uint128"}, {"indexed": false, "internalType": "uint256", "name": "amount0", "type": "uint256"}, {"indexed": false, "internalType": "uint256", "name": "amount1", "type": "uint256"}], "name": "IncreaseLiquidity", "type": "event"},
+    {"anonymous": false, "inputs": [{"indexed": true, "internalType": "address", "name": "from", "type": "address"}, {"indexed": true, "internalType": "address", "name": "to", "type": "address"}, {"indexed": true, "internalType": "uint256", "name": "tokenId", "type": "uint256"}], "name": "Transfer", "type": "event"},
+    {"inputs": [], "name": "factory", "outputs": [{"internalType": "address", "name": "", "type": "address"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [{"internalType": "uint256", "name": "tokenId", "type": "uint256"}], "name": "positions", "outputs": [{"internalType": "uint96", "name": "nonce", "type": "uint96"}, {"internalType": "address", "name": "operator", "type": "address"}, {"internalType": "address", "name": "token0", "type": "address"}, {"internalType": "address", "name": "token1", "type": "address"}, {"internalType": "uint24", "name": "fee", "type": "uint24"}, {"internalType": "int24", "name": "tickLower", "type": "int24"}, {"internalType": "int24", "name": "tickUpper", "type": "int24"}, {"internalType": "uint128", "name": "liquidity", "type": "uint128"}, {"internalType": "uint256", "name": "feeGrowthInside0LastX128", "type": "uint256"}, {"internalType": "uint256", "name": "feeGrowthInside1LastX128", "type": "uint256"}, {"internalType": "uint128", "name": "tokensOwed0", "type": "uint128"}, {"internalType": "uint128", "name": "tokensOwed1", "type": "uint128"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [{"components": [{"internalType": "uint256", "name": "tokenId", "type": "uint256"}, {"internalType": "address", "name": "recipient", "type": "address"}, {"internalType": "uint128", "name": "amount0Max", "type": "uint128"}, {"internalType": "uint128", "name": "amount1Max", "type": "uint128"}], "internalType": "struct INonfungiblePositionManager.CollectParams", "name": "params", "type": "tuple"}], "name": "collect", "outputs": [{"internalType": "uint256", "name": "amount0", "type": "uint256"}, {"internalType": "uint256", "name": "amount1", "type": "uint256"}], "stateMutability": "payable", "type": "function"},
+    {"inputs": [{"components": [{"internalType": "uint256", "name": "tokenId", "type": "uint256"}, {"internalType": "uint128", "name": "liquidity", "type": "uint128"}, {"internalType": "uint256", "name": "amount0Min", "type": "uint256"}, {"internalType": "uint256", "name": "amount1Min", "type": "uint256"}, {"internalType": "uint256", "name": "deadline", "type": "uint256"}], "internalType": "struct INonfungiblePositionManager.DecreaseLiquidityParams", "name": "params", "type": "tuple"}], "name": "decreaseLiquidity", "outputs": [{"internalType": "uint256", "name": "amount0", "type": "uint256"}, {"internalType": "uint256", "name": "amount1", "type": "uint256"}], "stateMutability": "payable", "type": "function"},
+    {"inputs": [{"components": [{"internalType": "address", "name": "token0", "type": "address"}, {"internalType": "address", "name": "token1", "type": "address"}, {"internalType": "uint24", "name": "fee", "type": "uint24"}, {"internalType": "int24", "name": "tickLower", "type": "int24"}, {"internalType": "int24", "name": "tickUpper", "type": "int24"}, {"internalType": "uint256", "name": "amount0Desired", "type": "uint256"}, {"internalType": "uint256", "name": "amount1Desired", "type": "uint256"}, {"internalType": "uint256", "name": "amount0Min", "type": "uint256"}, {"internalType": "uint256", "name": "amount1Min", "type": "uint256"}, {"internalType": "address", "name": "recipient", "type": "address"}, {"internalType": "uint256", "name": "deadline", "type": "uint256"}], "internalType": "struct INonfungiblePositionManager.MintParams", "name": "params", "type": "tuple"}], "name": "mint", "outputs": [{"internalType": "uint256", "name": "tokenId", "type": "uint256"}, {"internalType": "uint128", "name": "liquidity", "type": "uint128"}, {"internalType": "uint256", "name": "amount0", "type": "uint256"}, {"internalType": "uint256", "name": "amount1", "type": "uint256"}], "stateMutability": "payable", "type": "function"}
+]
+''')
+
+UNISWAP_V3_POOL_ABI = json.loads('''
+[
+    {"inputs": [], "name": "slot0", "outputs": [{"internalType": "uint160", "name": "sqrtPriceX96", "type": "uint160"}, {"internalType": "int24", "name": "tick", "type": "int24"}, {"internalType": "uint16", "name": "observationIndex", "type": "uint16"}, {"internalType": "uint16", "name": "observationCardinality", "type": "uint16"}, {"internalType": "uint16", "name": "observationCardinalityNext", "type": "uint16"}, {"internalType": "uint32", "name": "feeProtocol", "type": "uint32"}, {"internalType": "bool", "name": "unlocked", "type": "bool"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "token0", "outputs": [{"internalType": "address", "name": "", "type": "address"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "token1", "outputs": [{"internalType": "address", "name": "", "type": "address"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "fee", "outputs": [{"internalType": "uint24", "name": "", "type": "uint24"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "tickSpacing", "outputs": [{"internalType": "int24", "name": "", "type": "int24"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "liquidity", "outputs": [{"internalType": "uint128", "name": "", "type": "uint128"}], "stateMutability": "view", "type": "function"}
+]
+''')
+
+ERC20_ABI = json.loads('''
+[
+    {"inputs": [], "name": "decimals", "outputs": [{"internalType": "uint8", "name": "", "type": "uint8"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "symbol", "outputs": [{"internalType": "string", "name": "", "type": "string"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [{"internalType": "address", "name": "account", "type": "address"}], "name": "balanceOf", "outputs": [{"internalType": "uint256", "name": "", "type": "uint256"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [{"internalType": "address", "name": "spender", "type": "address"}, {"internalType": "uint256", "name": "amount", "type": "uint256"}], "name": "approve", "outputs": [{"internalType": "bool", "name": "", "type": "bool"}], "stateMutability": "nonpayable", "type": "function"},
+    {"inputs": [{"internalType": "address", "name": "owner", "type": "address"}, {"internalType": "address", "name": "spender", "type": "address"}], "name": "allowance", "outputs": [{"internalType": "uint256", "name": "", "type": "uint256"}], "stateMutability": "view", "type": "function"}
+]
+''')
+
+UNISWAP_V3_FACTORY_ABI = json.loads('''
+[
+    {"inputs": [{"internalType": "address", "name": "tokenA", "type": "address"}, {"internalType": "address", "name": "tokenB", "type": "address"}, {"internalType": "uint24", "name": "fee", "type": "uint24"}], "name": "getPool", "outputs": [{"internalType": "address", "name": "pool", "type": "address"}], "stateMutability": "view", "type": "function"}
+]
+''')
+
+AERODROME_FACTORY_ABI = json.loads('''
+[
+    {"inputs": [{"internalType": "address", "name": "tokenA", "type": "address"}, {"internalType": "address", "name": "tokenB", "type": "address"}, {"internalType": "int24", "name": "tickSpacing", "type": "int24"}], "name": "getPool", "outputs": [{"internalType": "address", "name": "pool", "type": "address"}], "stateMutability": "view", "type": "function"}
+]
+''')
+
+AERODROME_NPM_ABI = json.loads('''
+[
+    {"anonymous": false, "inputs": [{"indexed": true, "internalType": "uint256", "name": "tokenId", "type": "uint256"}, {"indexed": false, "internalType": "uint128", "name": "liquidity", "type": "uint128"}, {"indexed": false, "internalType": "uint256", "name": "amount0", "type": "uint256"}, {"indexed": false, "internalType": "uint256", "name": "amount1", "type": "uint256"}], "name": "IncreaseLiquidity", "type": "event"},
+    {"anonymous": false, "inputs": [{"indexed": true, "internalType": "address", "name": "from", "type": "address"}, {"indexed": true, "internalType": "address", "name": "to", "type": "address"}, {"indexed": true, "internalType": "uint256", "name": "tokenId", "type": "uint256"}], "name": "Transfer", "type": "event"},
+    {"inputs": [], "name": "factory", "outputs": [{"internalType": "address", "name": "", "type": "address"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [{"internalType": "uint256", "name": "tokenId", "type": "uint256"}], "name": "positions", "outputs": [{"internalType": "uint96", "name": "nonce", "type": "uint96"}, {"internalType": "address", "name": "operator", "type": "address"}, {"internalType": "address", "name": "token0", "type": "address"}, {"internalType": "address", "name": "token1", "type": "address"}, {"internalType": "int24", "name": "tickSpacing", "type": "int24"}, {"internalType": "int24", "name": "tickLower", "type": "int24"}, {"internalType": "int24", "name": "tickUpper", "type": "int24"}, {"internalType": "uint128", "name": "liquidity", "type": "uint128"}, {"internalType": "uint256", "name": "feeGrowthInside0LastX128", "type": "uint256"}, {"internalType": "uint256", "name": "feeGrowthInside1LastX128", "type": "uint256"}, {"internalType": "uint128", "name": "tokensOwed0", "type": "uint128"}, {"internalType": "uint128", "name": "tokensOwed1", "type": "uint128"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [{"components": [{"internalType": "uint256", "name": "tokenId", "type": "uint256"}, {"internalType": "address", "name": "recipient", "type": "address"}, {"internalType": "uint128", "name": "amount0Max", "type": "uint128"}, {"internalType": "uint128", "name": "amount1Max", "type": "uint128"}], "internalType": "struct INonfungiblePositionManager.CollectParams", "name": "params", "type": "tuple"}], "name": "collect", "outputs": [{"internalType": "uint256", "name": "amount0", "type": "uint256"}, {"internalType": "uint256", "name": "amount1", "type": "uint256"}], "stateMutability": "payable", "type": "function"},
+    {"inputs": [{"components": [{"internalType": "uint256", "name": "tokenId", "type": "uint256"}, {"internalType": "uint128", "name": "liquidity", "type": "uint128"}, {"internalType": "uint256", "name": "amount0Min", "type": "uint256"}, {"internalType": "uint256", "name": "amount1Min", "type": "uint256"}, {"internalType": "uint256", "name": "deadline", "type": "uint256"}], "internalType": "struct INonfungiblePositionManager.DecreaseLiquidityParams", "name": "params", "type": "tuple"}], "name": "decreaseLiquidity", "outputs": [{"internalType": "uint256", "name": "amount0", "type": "uint256"}, {"internalType": "uint256", "name": "amount1", "type": "uint256"}], "stateMutability": "payable", "type": "function"},
+    {"inputs": [{"components": [{"internalType": "address", "name": "token0", "type": "address"}, {"internalType": "address", "name": "token1", "type": "address"}, {"internalType": "int24", "name": "tickSpacing", "type": "int24"}, {"internalType": "int24", "name": "tickLower", "type": "int24"}, {"internalType": "int24", "name": "tickUpper", "type": "int24"}, {"internalType": "uint256", "name": "amount0Desired", "type": "uint256"}, {"internalType": "uint256", "name": "amount1Desired", "type": "uint256"}, {"internalType": "uint256", "name": "amount0Min", "type": "uint256"}, {"internalType": "uint256", "name": "amount1Min", "type": "uint256"}, {"internalType": "address", "name": "recipient", "type": "address"}, {"internalType": "uint256", "name": "deadline", "type": "uint256"}, {"internalType": "uint160", "name": "sqrtPriceX96", "type": "uint160"}], "internalType": "struct INonfungiblePositionManager.MintParams", "name": "params", "type": "tuple"}], "name": "mint", "outputs": [{"internalType": "uint256", "name": "tokenId", "type": "uint256"}, {"internalType": "uint128", "name": "liquidity", "type": "uint128"}, {"internalType": "uint256", "name": "amount0", "type": "uint256"}, {"internalType": "uint256", "name": "amount1", "type": "uint256"}], "stateMutability": "payable", "type": "function"}
+]
+''')
+
+AERODROME_POOL_ABI = json.loads('''
+[
+    {"inputs": [], "name": "slot0", "outputs": [{"internalType": "uint160", "name": "sqrtPriceX96", "type": "uint160"}, {"internalType": "int24", "name": "tick", "type": "int24"}, {"internalType": "uint16", "name": "observationIndex", "type": "uint16"}, {"internalType": "uint16", "name": "observationCardinality", "type": "uint16"}, {"internalType": "uint16", "name": "observationCardinalityNext", "type": "uint16"}, {"internalType": "bool", "name": "unlocked", "type": "bool"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "token0", "outputs": [{"internalType": "address", "name": "", "type": "address"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "token1", "outputs": [{"internalType": "address", "name": "", "type": "address"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "fee", "outputs": [{"internalType": "uint24", "name": "", "type": "uint24"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "tickSpacing", "outputs": [{"internalType": "int24", "name": "", "type": "int24"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "liquidity", "outputs": [{"internalType": "uint128", "name": "", "type": "uint128"}], "stateMutability": "view", "type": "function"}
+]
+''')
+
+SWAP_ROUTER_ABI = json.loads('''
+[
+    {"inputs": [{"components": [{"internalType": "address", "name": "tokenIn", "type": "address"}, {"internalType": "address", "name": "tokenOut", "type": "address"}, {"internalType": "uint24", "name": "fee", "type": "uint24"}, {"internalType": "address", "name": "recipient", "type": "address"}, {"internalType": "uint256", "name": "deadline", "type": "uint256"}, {"internalType": "uint256", "name": "amountIn", "type": "uint256"}, {"internalType": "uint256", "name": "amountOutMinimum", "type": "uint256"}, {"internalType": "uint160", "name": "sqrtPriceLimitX96", "type": "uint160"}], "internalType": "struct ISwapRouter.ExactInputSingleParams", "name": "params", "type": "tuple"}], "name": "exactInputSingle", "outputs": [{"internalType": "uint256", "name": "amountOut", "type": "uint256"}], "stateMutability": "payable", "type": "function"}
+]
+''')
+
+WETH9_ABI = json.loads('''
+[
+    {"constant": false, "inputs": [], "name": "deposit", "outputs": [], "payable": true, "stateMutability": "payable", "type": "function"},
+    {"constant": false, "inputs": [{"name": "wad", "type": "uint256"}], "name": "withdraw", "outputs": [], "payable": false, "stateMutability": "nonpayable", "type": "function"}
+]
+''')

florida/clp_config.py

@@ -8,7 +8,9 @@ STATUS_FILE = os.environ.get("STATUS_FILE", f"{TARGET_DEX}_status.json")
 
 # --- DEFAULT STRATEGY ---
 DEFAULT_STRATEGY = {
-    "MONITOR_INTERVAL_SECONDS": 60,                             # How often the Manager checks for range status
+    "MONITOR_INTERVAL_SECONDS": 300,                            # Manager loop & sync interval
+    "LOG_INTERVAL_SECONDS": 300,                                # Hedger console logging interval
+    "RANGE_MODE": "AUTO",                                       # Options: "AUTO" (BB-based), "FIXED" (RANGE_WIDTH_PCT)
     "CLOSE_POSITION_ENABLED": True,                             # Allow the bot to automatically close out-of-range positions
     "OPEN_POSITION_ENABLED": True,                              # Allow the bot to automatically open new positions
     "REBALANCE_ON_CLOSE_BELOW_RANGE": True,                     # Strategy flag for specific closing behavior
@@ -19,15 +21,16 @@ DEFAULT_STRATEGY = {
     "VALUE_REFERENCE": "USD",                                   # Base currency for all calculations
      
     # Range Settings
-    "RANGE_WIDTH_PCT": Decimal("0.01"),                         # LP width (e.g. 0.05 = +/- 5% from current price)
+    "RANGE_WIDTH_PCT": Decimal("0.03"),                         # LP width (e.g. 0.05 = +/- 5% from current price)
-    "SLIPPAGE_TOLERANCE": Decimal("0.02"),                      # Max allowed slippage for swaps and minting
+    "SLIPPAGE_TOLERANCE": Decimal("0.03"),                      # Max allowed slippage for swaps and minting
     "TRANSACTION_TIMEOUT_SECONDS": 30,                          # Timeout for blockchain transactions
                         
     # Hedging Settings                  
+    "HEDGE_STRATEGY": "ASYMMETRIC",                             # Options: "STANDARD" (Full Range Hedge), "ASYMMETRIC" (Edge-Only Reduction), "FIXED" (Initial Delta)
     "MIN_HEDGE_THRESHOLD": Decimal("0.012"),                    # Minimum delta change (in coins) required to trigger a trade
     
     # Unified Hedger Settings
-    "CHECK_INTERVAL": 1,                                        # Loop speed for the hedger (seconds)
+
     "LEVERAGE": 5,                                              # Leverage to use on Hyperliquid
     "ZONE_BOTTOM_HEDGE_LIMIT": Decimal("1.0"),                  # Multiplier limit at the bottom of the range
     "ZONE_CLOSE_START": Decimal("10.0"),                        # Distance (pct) from edge to start closing logic
@@ -45,7 +48,7 @@ DEFAULT_STRATEGY = {
     "POSITION_CLOSED_EDGE_PROXIMITY_PCT": Decimal("0.025"),     # Safety margin for closing positions
     "LARGE_HEDGE_MULTIPLIER": Decimal("5.0"),                   # Multiplier to bypass trade cooldown for big moves
     "ENABLE_EDGE_CLEANUP": True,                                # Force rebalances when price is at range boundaries
-    "EDGE_CLEANUP_MARGIN_PCT": Decimal("0.02"),                 # % of range width used for edge detection
+    "EDGE_CLEANUP_MARGIN_PCT": Decimal("0.03"),                 # % of range width used for edge detection
     "MAKER_ORDER_TIMEOUT": 600,                                 # Timeout for resting Maker orders (seconds)
     "SHADOW_ORDER_TIMEOUT": 600,                                # Timeout for theoretical shadow order tracking
     "ENABLE_FISHING": False,                                    # Use passive maker orders for rebalancing (advanced)
@@ -72,6 +75,9 @@ CLP_PROFILES = {
         "TOKEN_B_ADDRESS": "0xaf88d065e77c8cC2239327C5EDb3A432268e5831", # USDC
         "WRAPPED_NATIVE_ADDRESS": "0x82aF49447D8a07e3bd95BD0d56f35241523fBab1",
         "POOL_FEE": 500,
+        "TARGET_INVESTMENT_AMOUNT": 3000,
+        "HEDGE_STRATEGY": "FIXED",
+        "RANGE_WIDTH_PCT": Decimal("0.0075"), 
     },
     "UNISWAP_wide": {
         "NAME": "Uniswap V3 (Arbitrum) - ETH/USDC Wide",
@@ -98,6 +104,7 @@ CLP_PROFILES = {
         "TOKEN_B_ADDRESS": "0x55d398326f99059fF775485246999027B3197955", # USDT
         "WRAPPED_NATIVE_ADDRESS": "0xbb4CdB9CBd36B01bD1cBaEBF2De08d9173bc095c",
         "POOL_FEE": 100,
+        "EDGE_CLEANUP_MARGIN_PCT": Decimal("0.1875"),                 # 0.1875 only for asymmetric shedge % of range width used for edge detection
         "RANGE_WIDTH_PCT": Decimal("0.004"), 
         "TARGET_INVESTMENT_AMOUNT": 1000,
         "MIN_HEDGE_THRESHOLD": Decimal("0.015"),            
@@ -123,6 +130,34 @@ CLP_PROFILES = {
         "TARGET_INVESTMENT_AMOUNT": 200,
         "VALUE_REFERENCE": "USD",
         "RANGE_WIDTH_PCT": Decimal("0.10")
+    },
+    "AERODROME_BASE_CL": {
+        "NAME": "Aerodrome SlipStream (Base) - WETH/USDC",
+        "COIN_SYMBOL": "ETH",
+        "RPC_ENV_VAR": "BASE_RPC_URL",
+        "NPM_ADDRESS": "0x827922686190790b37229fd06084350E74485b72",
+        "ROUTER_ADDRESS": "0xcF77a3Ba9A5CA399B7c97c74d54e5b1Beb874E43",
+        "TOKEN_A_ADDRESS": "0x4200000000000000000000000000000000000006", # WETH
+        "TOKEN_B_ADDRESS": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", # USDC
+        "WRAPPED_NATIVE_ADDRESS": "0x4200000000000000000000000000000000000006",
+        "POOL_FEE": 100, # TickSpacing 100 pool (0xb2cc...)
+        "RANGE_WIDTH_PCT": Decimal("0.075"), 
+        "TARGET_INVESTMENT_AMOUNT": 200,
+        "HEDGE_STRATEGY": "FIXED",
+    },
+    "AERODROME_WETH-USDC_008": {
+        "NAME": "Aerodrome SlipStream (Base) - WETH/USDC Stable",
+        "COIN_SYMBOL": "ETH",
+        "RPC_ENV_VAR": "BASE_RPC_URL",
+        "NPM_ADDRESS": "0x827922686190790b37229fd06084350E74485b72",
+        "ROUTER_ADDRESS": "0xcF77a3Ba9A5CA399B7c97c74d54e5b1Beb874E43",
+        "TOKEN_A_ADDRESS": "0x4200000000000000000000000000000000000006", # WETH
+        "TOKEN_B_ADDRESS": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", # USDC
+        "WRAPPED_NATIVE_ADDRESS": "0x4200000000000000000000000000000000000006",
+        "POOL_FEE": 1, # TickSpacing 1 pool (0xdbc6...)
+        "RANGE_WIDTH_PCT": Decimal("0.05"), 
+        "TARGET_INVESTMENT_AMOUNT": 200,
+        "HEDGE_STRATEGY": "FIXED",
     }
 }
 

florida/clp_hedger.py

@@ -14,20 +14,15 @@ current_dir = os.path.dirname(os.path.abspath(__file__))
 project_root = os.path.dirname(current_dir)
 sys.path.append(project_root)
 
-# Import local modules
+# Ensure root logger is clean
-try:
+logging.getLogger().handlers.clear()
-    from logging_utils import setup_logging
+logging.basicConfig(level=logging.INFO)
-except ImportError:
-    setup_logging = None
-    # Ensure root logger is clean if we can't use setup_logging
-    logging.getLogger().handlers.clear()
-    logging.basicConfig(level=logging.INFO)
 
 from eth_account import Account
 from hyperliquid.exchange import Exchange
 from hyperliquid.info import Info
 from hyperliquid.utils import constants
-from clp_config import CLP_PROFILES, DEFAULT_STRATEGY
+from clp_config import CLP_PROFILES, DEFAULT_STRATEGY, TARGET_DEX
 
 # Load environment variables
 dotenv_path = os.path.join(current_dir, '.env')
@@ -213,7 +208,7 @@ class HyperliquidStrategy:
         else:  # >=5% range
             return Decimal("0.075")  # Standard for wide ranges
 
-    def calculate_rebalance(self, current_price: Decimal, current_short_size: Decimal) -> Dict:
+    def calculate_rebalance(self, current_price: Decimal, current_short_size: Decimal, strategy_type: str = "ASYMMETRIC") -> Dict:
         # Note: current_short_size here is virtual (just for this specific strategy), 
         # but the unified hedger will use the 'target_short' output primarily.
         
@@ -221,17 +216,33 @@ class HyperliquidStrategy:
         
         # --- ASYMMETRIC COMPENSATION ---
         adj_pct = Decimal("0.0")
-        range_width = self.high_range - self.low_range
         
-        if range_width > 0:
+        if strategy_type == "ASYMMETRIC":
-            dist = current_price - self.entry_price
+            range_width = self.high_range - self.low_range
-            half_width = range_width / Decimal("2")
+            
-            norm_dist = dist / half_width
+            if range_width > 0:
-            max_boost = self.get_compensation_boost()
+                dist = current_price - self.entry_price
-            adj_pct = -norm_dist * max_boost
+                half_width = range_width / Decimal("2")
-            adj_pct = max(-max_boost, min(max_boost, adj_pct))
+                norm_dist = dist / half_width
+                max_boost = self.get_compensation_boost()
+                adj_pct = -norm_dist * max_boost
+                adj_pct = max(-max_boost, min(max_boost, adj_pct))
+            
+        # --- FIXED STRATEGY LOGIC ---
+        if strategy_type == "FIXED":
+            # Target is exactly the pool delta at entry price
+            raw_target_short = self.get_pool_delta(self.entry_price)
+            adj_pct = Decimal("0")
+        elif strategy_type == "BOTTOM":
+            if current_price > self.entry_price:
+                # Disable hedging in upper half
+                raw_target_short = Decimal("0")
+                adj_pct = Decimal("0")
+            else:
+                # Enable hedging in lower half (standard delta)
+                # No asymmetric boost applied
+                adj_pct = Decimal("0")
 
-        raw_target_short = pool_delta
         adjusted_target_short = raw_target_short * (Decimal("1.0") + adj_pct)
         
         diff = adjusted_target_short - abs(current_short_size)
@@ -273,12 +284,23 @@ class UnifiedHedger:
         
         # Market Data Cache
         self.last_prices = {}
-        self.price_history = {} # Symbol -> List[Decimal]
+        self.price_history = {} # Symbol -> List[Decimal] (Fast: 1s samples)
         self.last_trade_times = {} # Symbol -> timestamp
+        self.last_idle_log_times = {} # Symbol -> timestamp
         
         # Shadow Orders (Global List)
         self.shadow_orders = [] 
         
+        # State: Emergency Close Hysteresis
+        # Map: (file_path, token_id) -> bool
+        self.emergency_close_active = {} 
+        
+        # Map: (file_path, token_id) -> Decimal (Locked hedge size)
+        self.custom_fixed_targets = {}
+        
+        # Map: (file_path, token_id) -> Decimal (Price when hedge leg opened)
+        self.hedge_entry_prices = {}
+        
         self.startup_time = time.time()
 
         logger.info(f"[CLP_HEDGER] Master Hedger initialized. Agent: {self.account.address}")
@@ -286,6 +308,7 @@ class UnifiedHedger:
 
     def _init_coin_configs(self):
         """Pre-load configuration for known coins from CLP_PROFILES."""
+        # 1. Load all profiles (order depends on dict iteration)
         for profile_key, profile_data in CLP_PROFILES.items():
             symbol = profile_data.get("COIN_SYMBOL")
             if symbol:
@@ -297,6 +320,18 @@ class UnifiedHedger:
                 # Update with Profile Specifics
                 self.coin_configs[symbol].update(profile_data)
 
+        # 2. Force overwrite with TARGET_DEX profile to ensure precedence
+        target_profile = CLP_PROFILES.get(TARGET_DEX)
+        if target_profile:
+            symbol = target_profile.get("COIN_SYMBOL")
+            if symbol:
+                if symbol not in self.coin_configs:
+                     self.coin_configs[symbol] = DEFAULT_STRATEGY.copy()
+                     self.coin_configs[symbol]["sz_decimals"] = 4
+                
+                logger.info(f"Overwriting config for {symbol} using TARGET_DEX: {TARGET_DEX}")
+                self.coin_configs[symbol].update(target_profile)
+
     def _get_sz_decimals(self, coin: str) -> int:
         try:
             meta = self.info.meta()
@@ -427,6 +462,7 @@ class UnifiedHedger:
                                 self.strategy_states[key]['pnl'] = to_decimal(entry.get('hedge_pnl_realized', 0))
                                 self.strategy_states[key]['fees'] = to_decimal(entry.get('hedge_fees_paid', 0))
                                 self.strategy_states[key]['status'] = entry.get('status', 'OPEN')
+                                self.strategy_states[key]['clp_fees'] = to_decimal(entry.get('clp_fees', 0))
                         
             except Exception as e:
                 logger.error(f"Error reading {filename}: {e}. Skipping updates.")
@@ -478,12 +514,23 @@ class UnifiedHedger:
                 "start_time": start_time_ms,
                 "pnl": to_decimal(position_data.get('hedge_pnl_realized', 0)),
                 "fees": to_decimal(position_data.get('hedge_fees_paid', 0)),
+                "clp_fees": to_decimal(position_data.get('clp_fees', 0)),
                 "hedge_TotPnL": to_decimal(position_data.get('hedge_TotPnL', 0)), # NEW: Total Closed PnL
                 "entry_price": entry_price, # Store for fishing logic
                 "status": position_data.get('status', 'OPEN')
             }
+            
+            # Initial hedge entry price is the CLP entry price
+            self.hedge_entry_prices[key] = entry_price
+            
             logger.info(f"[STRAT] Init {key[1]} ({coin_symbol}) | Range: {lower}-{upper}")
             
+            # Ensure JSON has these fields initialized
+            update_position_stats(key[0], key[1], {
+                "hedge_TotPnL": float(self.strategy_states[key]['hedge_TotPnL']),
+                "hedge_fees_paid": float(self.strategy_states[key]['fees'])
+            })
+            
         except Exception as e:
             logger.error(f"Failed to init strategy {key[1]}: {e}")
 
@@ -652,7 +699,7 @@ class UnifiedHedger:
                         price = to_decimal(mids[coin])
                         self.last_prices[coin] = price
                         
-                        # Update Price History
+                        # Update Price History (Fast)
                         if coin not in self.price_history: self.price_history[coin] = []
                         self.price_history[coin].append(price)
                         if len(self.price_history[coin]) > 300: self.price_history[coin].pop(0)
@@ -663,19 +710,60 @@ class UnifiedHedger:
                     if coin not in self.last_prices: continue
                     price = self.last_prices[coin]
 
+                    # Get Config & Strategy Type
+                    config = self.coin_configs.get(coin, {})
+                    strategy_type = config.get("HEDGE_STRATEGY", "ASYMMETRIC")
+
                     # Calc Logic
-                    calc = strat.calculate_rebalance(price, Decimal("0"))
+                    calc = strat.calculate_rebalance(price, Decimal("0"), strategy_type)
                     
                     if coin not in aggregates:
-                        aggregates[coin] = {'target_short': Decimal("0"), 'contributors': 0, 'is_at_edge': False, 'adj_pct': Decimal("0"), 'is_closing': False}
+                        aggregates[coin] = {'target_short': Decimal("0"), 'contributors': 0, 'is_at_edge': False, 'is_at_bottom_edge': False, 'adj_pct': Decimal("0"), 'is_closing': False}
                     
-                    if status == 'CLOSING':
+                    # --- EMERGENCY UPPER EDGE CLOSING (HYSTERESIS) ---
-                         # If Closing, we want target to be 0 for this strategy
+                    # Logic: If price hits Top, close hedge. Do NOT re-open until price drops back to 75% of Range (FIXED) or Buffer (Others).
-                         logger.info(f"[STRAT] {key[1]} is CLOSING -> Force Target 0")
+                    
+                    is_active_hysteresis = self.emergency_close_active.get(key, False)
+                    
+                    if is_active_hysteresis:
+                        # CHECK RESET CONDITION
+                        if strategy_type == "FIXED":
+                            # Reset at 75% of range (from Bottom)
+                            range_width = strat.high_range - strat.low_range
+                            reset_threshold = strat.low_range + (range_width * Decimal("0.75"))
+                        else:
+                            reset_threshold = strat.high_range * Decimal("0.999")
+                            
+                        if price < reset_threshold:
+                            logger.info(f"[STRAT] {key[1]} Price reset ({price:.2f} < {reset_threshold:.2f}). Resuming hedge.")
+                            self.emergency_close_active[key] = False
+                            is_active_hysteresis = False
+                            
+                            # Capture NEW Dynamic Fixed Target and Entry Price
+                            if strategy_type == "FIXED":
+                                dynamic_delta = strat.get_pool_delta(price)
+                                self.custom_fixed_targets[key] = dynamic_delta
+                                self.hedge_entry_prices[key] = price
+                                logger.info(f"[STRAT] {key[1]} FIXED target reset to Dynamic Delta: {dynamic_delta:.4f} @ {price:.2f}")
+                    
+                    if not is_active_hysteresis:
+                        # CHECK TRIGGER CONDITION
+                        if price >= strat.high_range:
+                            logger.warning(f"[STRAT] {key[1]} above High Range ({price:.2f} >= {strat.high_range:.2f}). Emergency closing hedge.")
+                            self.emergency_close_active[key] = True
+                            is_active_hysteresis = True
+                            # Reset entry price when closed
+                            self.hedge_entry_prices[key] = Decimal("0")
+
+                    if status == 'CLOSING' or is_active_hysteresis:
+                         # If Closing OR Hysteresis Active, target is 0
                          aggregates[coin]['is_closing'] = True
-                         # Do not add to target_short
                     else:
-                        aggregates[coin]['target_short'] += calc['target_short']
+                        # Use custom fixed target if exists, else standard calc
+                        if strategy_type == "FIXED" and key in self.custom_fixed_targets:
+                            aggregates[coin]['target_short'] += self.custom_fixed_targets[key]
+                        else:
+                            aggregates[coin]['target_short'] += calc['target_short']
                     
                     aggregates[coin]['contributors'] += 1
                     aggregates[coin]['adj_pct'] = calc['adj_pct']
@@ -693,6 +781,8 @@ class UnifiedHedger:
                         
                         if dist_bottom_pct < safety_margin_pct or dist_top_pct < safety_margin_pct:
                             aggregates[coin]['is_at_edge'] = True
+                            if dist_bottom_pct < safety_margin_pct:
+                                aggregates[coin]['is_at_bottom_edge'] = True
 
                 # Check Shadow Orders (Pre-Execution)
                 self.check_shadow_orders(l2_snapshots)
@@ -706,255 +796,256 @@ class UnifiedHedger:
                 for coin in coins_to_process:
                     data = aggregates.get(coin, {'target_short': Decimal("0"), 'contributors': 0, 'is_at_edge': False, 'adj_pct': Decimal("0"), 'is_closing': False})
                     
-                    price = self.last_prices.get(coin, Decimal("0")) # FIX: Explicitly get price for this coin
+                    price = self.last_prices.get(coin, Decimal("0"))
                     if price == 0: continue
 
-                    target_short_abs = data['target_short'] # Always positive (it's a magnitude of short)
+                    target_short_abs = data['target_short']
-                    target_position = -target_short_abs # We want to be Short, so negative size
+                    target_position = -target_short_abs
-                    
                     current_pos = current_positions.get(coin, Decimal("0"))
-                    
+                    diff = target_position - current_pos
-                    diff = target_position - current_pos # e.g. -1.0 - (-0.8) = -0.2 (Sell 0.2)
                     diff_abs = abs(diff)
                     
                     # Thresholds
                     config = self.coin_configs.get(coin, {})
-                    min_thresh = config.get("min_threshold", Decimal("0.008"))
+                    min_thresh = config.get("MIN_HEDGE_THRESHOLD", Decimal("0.008"))
-                    
-                    # Volatility Multiplier
                     vol_pct = self.calculate_volatility(coin)
                     base_vol = Decimal("0.0005")
                     vol_mult = max(Decimal("1.0"), min(Decimal("3.0"), vol_pct / base_vol)) if vol_pct > 0 else Decimal("1.0")
-                    
                     base_rebalance_pct = config.get("BASE_REBALANCE_THRESHOLD_PCT", Decimal("0.20"))
                     thresh_pct = min(Decimal("0.15"), base_rebalance_pct * vol_mult)
                     dynamic_thresh = max(min_thresh, abs(target_position) * thresh_pct)
                     
-                    # FORCE EDGE CLEANUP
+                    if data['is_at_edge'] and config.get("ENABLE_EDGE_CLEANUP", True):
-                    enable_edge_cleanup = config.get("ENABLE_EDGE_CLEANUP", True)
+                         if dynamic_thresh > min_thresh: dynamic_thresh = min_thresh
-                    if data['is_at_edge'] and enable_edge_cleanup:
-                         if dynamic_thresh > min_thresh:
-                             # logger.info(f"[EDGE] {coin} forced to min threshold.")
-                             dynamic_thresh = min_thresh
 
-                    # Check Trigger
                     action_needed = diff_abs > dynamic_thresh
-                    
-                    # Determine Intent (Moved UP for Order Logic)
                     is_buy_bool = diff > 0
                     side_str = "BUY" if is_buy_bool else "SELL"
                     
                     # Manage Existing Orders
                     existing_orders = orders_map.get(coin, [])
                     force_taker_retry = False
-                    
-                    # Fishing Config
-                    enable_fishing = config.get("ENABLE_FISHING", False)
-                    fishing_timeout = config.get("FISHING_TIMEOUT_FALLBACK", 30)
-                    
-                    # Check Existing Orders for compatibility
                     order_matched = False
                     price_buffer_pct = config.get("PRICE_BUFFER_PCT", Decimal("0.0015"))
                     
                     for o in existing_orders:
                         o_oid = o['oid']
                         o_price = to_decimal(o['limitPx'])
-                        o_side = o['side'] # 'B' or 'A'
+                        o_side = o['side']
                         o_timestamp = o.get('timestamp', int(time.time()*1000))
-                        
                         is_same_side = (o_side == 'B' and is_buy_bool) or (o_side == 'A' and not is_buy_bool)
-                        
-                        # Price Check (within buffer)
-                        dist_pct = abs(price - o_price) / price
-                        
-                        # Maker Timeout Check (General)
-                        maker_timeout = config.get("MAKER_ORDER_TIMEOUT", 300)
                         order_age_sec = (int(time.time()*1000) - o_timestamp) / 1000.0
                         
-                        if is_same_side and order_age_sec > maker_timeout:
+                        if is_same_side and order_age_sec > config.get("MAKER_ORDER_TIMEOUT", 300):
-                            logger.info(f"[TIMEOUT] {coin} Order {o_oid} expired ({order_age_sec:.1f}s > {maker_timeout}s). Cancelling to refresh.")
+                            logger.info(f"[TIMEOUT] {coin} Order {o_oid} expired. Cancelling.")
                             self.cancel_order(coin, o_oid)
                             continue 
 
-                        # Fishing Timeout Check
+                        if config.get("ENABLE_FISHING", False) and is_same_side and order_age_sec > config.get("FISHING_TIMEOUT_FALLBACK", 30):
-                        if enable_fishing and is_same_side and order_age_sec > fishing_timeout:
+                            logger.info(f"[FISHING] {coin} Order {o_oid} timed out. Retrying as Taker.")
-                            logger.info(f"[FISHING] {coin} Order {o_oid} timed out ({order_age_sec:.1f}s > {fishing_timeout}s). Cancelling for Taker retry.")
                             self.cancel_order(coin, o_oid)
                             force_taker_retry = True
-                            continue # Do not mark matched, let it flow to execution
+                            continue
 
-                        if is_same_side and dist_pct < price_buffer_pct:
+                        if is_same_side and (abs(price - o_price) / price) < price_buffer_pct:
                             order_matched = True
-                            if int(time.time()) % 10 == 0:
+                            if int(time.time()) % 15 == 0:
-                                 logger.info(f"[WAIT] {coin} Pending {side_str} Order {o_oid} @ {o_price} (Dist: {dist_pct*100:.3f}%) | Age: {order_age_sec:.1f}s")
+                                 logger.info(f"[WAIT] {coin} Pending {side_str} @ {o_price} | Age: {order_age_sec:.1f}s")
                             break
                         else:
                             logger.info(f"Cancelling stale order {o_oid} ({o_side} @ {o_price})")
                             self.cancel_order(coin, o_oid)
 
-                    # --- EXECUTION LOGIC ---
+                    # Determine Urgency / Bypass Cooldown
-                    if not order_matched:
+                    bypass_cooldown = False
-                        if action_needed or force_taker_retry:
+                    force_maker = False
+                    if not order_matched and (action_needed or force_taker_retry):
+                        if force_taker_retry: bypass_cooldown = True
+                        elif data.get('is_closing', False): bypass_cooldown = True
+                        elif data.get('contributors', 0) == 0:
+                            if time.time() - self.startup_time > 5: force_maker = True
+                            else: continue # Skip startup ghost positions
+                        
+                        large_hedge_mult = config.get("LARGE_HEDGE_MULTIPLIER", Decimal("5.0"))
+                        if diff_abs > (dynamic_thresh * large_hedge_mult) and not force_maker and data.get('is_at_edge', False):
+                            # Prevent IOC for BUYs at bottom edge
+                            if not (is_buy_bool and data.get('is_at_bottom_edge', False)):
+                                bypass_cooldown = True
+
+                    # --- BOTTOM STRATEGY SAFEGUARDS ---
+                    strategy_type = config.get("HEDGE_STRATEGY", "ASYMMETRIC")
+                    if strategy_type == "BOTTOM":
+                        # strict: "do not use taker orders... except only on very bottom"
+                        if not data.get('is_at_bottom_edge', False):
                             bypass_cooldown = False
-                            force_maker = False
+                            force_taker_retry = False # Disable taker retry from fishing
 
-                            # 0. Forced Taker Retry (Fishing Timeout)
+                    # --- ASYMMETRIC HEDGE CHECK ---
-                            if force_taker_retry:
+                    is_asymmetric_blocked = False
-                                bypass_cooldown = True
+                    p_mid_asym = Decimal("0")
-                                logger.info(f"[RETRY] {coin} Fishing Failed -> Force Taker")
+                    # strategy_type already fetched above
 
-                            # 1. Urgent Closing -> Taker
+                    if strategy_type == "ASYMMETRIC" and is_buy_bool and not bypass_cooldown:
-                            elif data.get('is_closing', False):
+                        total_L_asym = Decimal("0")
-                                bypass_cooldown = True
+                        for k_strat, strat_inst in self.strategies.items():
-                                logger.info(f"[URGENT] {coin} Closing Strategy -> Force Taker Exit")
+                             if self.strategy_states[k_strat]['coin'] == coin:
+                                 total_L_asym += strat_inst.L
                         
-                            # 2. Ghost/Cleanup -> Maker
+                        gamma_asym = (Decimal("0.5") * total_L_asym * (price ** Decimal("-1.5")))
-                            elif data.get('contributors', 0) == 0:
+                        if gamma_asym > 0:
-                                if time.time() - self.startup_time > 5:
+                            p_mid_asym = price - (diff_abs / gamma_asym)
-                                    force_maker = True
+                            if not data.get('is_at_edge', False) and price >= p_mid_asym:
-                                    logger.info(f"[CLEANUP] {coin} Ghost Position -> Force Maker Reduce")
+                                is_asymmetric_blocked = True
-                                else:
-                                    logger.info(f"[STARTUP] Skipping Ghost Cleanup for {coin} (Grace Period)")
-                                    continue # Skip execution for this coin
-
-                            # Large Hedge Check (Only Force Taker if AT EDGE)
-                            large_hedge_mult = config.get("LARGE_HEDGE_MULTIPLIER", Decimal("5.0"))
-                            if diff_abs > (dynamic_thresh * large_hedge_mult) and not force_maker and data.get('is_at_edge', False):
-                                bypass_cooldown = True
-                                logger.info(f"[WARN] LARGE HEDGE (Edge Protection): {diff_abs:.4f} > {dynamic_thresh:.4f} (x{large_hedge_mult})")
-                            elif diff_abs > (dynamic_thresh * large_hedge_mult) and not force_maker:
-                                 # Large hedge but safe zone -> Maker is fine, but maybe log it
-                                 logger.info(f"[INFO] Large Hedge (Safe Zone): {diff_abs:.4f}. Using Standard Execution.")
 
+                    # --- EXECUTION ---
+                    if not order_matched and not is_asymmetric_blocked:
+                        if action_needed or force_taker_retry:
                             last_trade = self.last_trade_times.get(coin, 0)
+                            min_time = config.get("MIN_TIME_BETWEEN_TRADES", 60)
                             
-                            min_time_trade = config.get("MIN_TIME_BETWEEN_TRADES", 60)
+                            if bypass_cooldown or (time.time() - last_trade > min_time):
-                            can_trade = False
+                                if coin not in l2_snapshots: l2_snapshots[coin] = self.info.l2_snapshot(coin)
-                            if bypass_cooldown:
-                                can_trade = True
-                            elif time.time() - last_trade > min_time_trade:
-                                can_trade = True
-                                
-                            if can_trade:
-                                # Get Orderbook for Price
-                                if coin not in l2_snapshots:
-                                    l2_snapshots[coin] = self.info.l2_snapshot(coin)
-                                
                                 levels = l2_snapshots[coin]['levels']
-                                if not levels[0] or not levels[1]: continue
+                                if levels[0] and levels[1]:
+                                    bid, ask = to_decimal(levels[0][0]['px']), to_decimal(levels[1][0]['px'])
+                                    if bypass_cooldown and not force_maker:
+                                        exec_price = ask * Decimal("1.001") if is_buy_bool else bid * Decimal("0.999")
+                                        order_type = "Ioc"
+                                    else:
+                                        exec_price = bid if is_buy_bool else ask
+                                        order_type = "Alo"
                                     
-                                bid = to_decimal(levels[0][0]['px'])
+                                    logger.info(f"[TRIG] {coin} {side_str} {diff_abs:.4f} | Cur: {current_pos:.4f} | Type: {order_type}")
-                                ask = to_decimal(levels[1][0]['px'])
+                                    oid = self.place_limit_order(coin, is_buy_bool, diff_abs, exec_price, order_type)
+                                    if oid:
+                                        self.last_trade_times[coin] = time.time()
+                                        if order_type == "Ioc":
+                                            shadow_price = bid if is_buy_bool else ask
+                                            self.shadow_orders.append({'coin': coin, 'side': side_str, 'price': shadow_price, 'expires_at': time.time() + config.get("SHADOW_ORDER_TIMEOUT", 600)})
                                         
-                                # Price logic
+                                        logger.info("Sleeping 10s for position update...")
-                                create_shadow = False
+                                        time.sleep(10)
+                                        self._update_closed_pnl(coin)
+                        else:
+                            # Idle Cleanup
+                            if existing_orders and not order_matched:
+                                for o in existing_orders: self.cancel_order(coin, o['oid'])
 
-                                # Decide Order Type: Taker (Ioc) or Maker (Alo)
+                    # --- REAL-TIME PnL CALCULATION & JSON UPDATE (1s) ---
-                                # Taker if: Urgent (bypass_cooldown) OR Fishing Disabled OR Force Maker is False (wait, Force Maker means Alo)
+                    total_L_log = Decimal("0")
+                    for k_strat, strat_inst in self.strategies.items():
+                        if self.strategy_states[k_strat]['coin'] == coin:
+                            total_L_log += strat_inst.L
                     
-                                # Logic:
+                    # Update all active strategies for this coin in JSON
-                                # If Force Maker -> Alo
+                    if total_L_log > 0 and price > 0:
-                                # Else if Urgent -> Ioc
+                        for k_strat, strat_inst in self.strategies.items():
-                                # Else if Enable Fishing -> Alo
+                            if self.strategy_states[k_strat]['coin'] != coin: continue
-                                # Else -> Alo (Default non-urgent behavior was Alo anyway?)
                             
-                                # Let's clarify:
+                            # CLP Value Calc
-                                # Previous logic: if bypass_cooldown -> Ioc. Else -> Alo.
+                            def get_clp_value(p, s):
-                                # New logic: 
+                                if p <= s.low_range: return s.L * (p * (1/s.low_range.sqrt() - 1/s.high_range.sqrt()))
-                                # If bypass_cooldown -> Ioc
+                                if p >= s.high_range: return s.L * (s.high_range.sqrt() - s.low_range.sqrt())
-                                # Else -> Alo (Fishing)
+                                return s.L * (2*p.sqrt() - s.low_range.sqrt() - p/s.high_range.sqrt())
                             
-                                if bypass_cooldown and not force_maker:
+                            clp_curr_val = get_clp_value(price, strat_inst)
-                                    exec_price = ask * Decimal("1.001") if is_buy_bool else bid * Decimal("0.999")
-                                    order_type = "Ioc"
-                                    create_shadow = True
-                                else:
-                                    # Fishing / Standard Maker
-                                    exec_price = bid if is_buy_bool else ask
-                                    order_type = "Alo"
                             
-                                logger.info(f"[TRIG] Net {coin}: {side_str} {diff_abs:.4f} | Tgt: {target_position:.4f} / Cur: {current_pos:.4f} | Thresh: {dynamic_thresh:.4f} | Type: {order_type}")
+                            # Use Custom Fixed Target if exists
+                            target_size = self.custom_fixed_targets.get(k_strat, strat_inst.get_pool_delta(strat_inst.entry_price))
                             
-                                oid = self.place_limit_order(coin, is_buy_bool, diff_abs, exec_price, order_type)
+                            # USE TRACKED HEDGE ENTRY PRICE
-                                if oid:
+                            h_entry_px = self.hedge_entry_prices.get(k_strat, strat_inst.entry_price)
-                                    self.last_trade_times[coin] = time.time()
+                            if h_entry_px > 0:
-                                    
+                                hedge_pnl_curr = (h_entry_px - price) * target_size
-                                    # Shadow Order
-                                    if create_shadow:
-                                        shadow_price = bid if is_buy_bool else ask
-                                        shadow_timeout = config.get("SHADOW_ORDER_TIMEOUT", 600)
-                                        self.shadow_orders.append({
-                                            'coin': coin,
-                                            'side': side_str,
-                                            'price': shadow_price,
-                                            'expires_at': time.time() + shadow_timeout
-                                        })
-                                        logger.info(f"[SHADOW] Created Maker {side_str} @ {shadow_price:.2f}")
-
-                                    # UPDATED: Sleep for API Lag (Phase 5.1)
-                                    logger.info("Sleeping 10s to allow position update...")
-                                    time.sleep(10)
-
-                                    # --- UPDATE CLOSED PnL FROM API ---
-                                    self._update_closed_pnl(coin)
                             else:
-                                # Cooldown log
+                                hedge_pnl_curr = Decimal("0")
-                                pass
                             
-                        else:
+                            fee_close_curr = (target_size * price) * Decimal("0.000432")
-                            # Action NOT needed
+                            uni_fees = to_decimal(self.strategy_states[k_strat].get('clp_fees', 0))
-                            # Cleanup any dangling orders
-                            if existing_orders:
-                                for o in existing_orders:
-                                    logger.info(f"Cancelling idle order {o['oid']} ({o['side']} @ {o['limitPx']})")
-                                    self.cancel_order(coin, o['oid'])
                             
-                    # --- IDLE LOGGING (Restored Format) ---
+                            # Retrieve Realized PnL & Fees from State
-                    # Calculate aggregate Gamma to estimate triggers
+                            realized_pnl = to_decimal(self.strategy_states[k_strat].get('hedge_TotPnL', 0))
-                    # Gamma = 0.5 * Sum(L) * P^-1.5
+                            realized_fees = to_decimal(self.strategy_states[k_strat].get('fees', 0))
-                    # We need Sum(L) for this coin.
-                    total_L = Decimal("0")
-                    # We need to re-iterate or cache L. 
-                    # Simpler: Just re-sum L from active strats for this coin.
-                    for key, strat in self.strategies.items():
-                         if self.strategy_states[key]['coin'] == coin:
-                             total_L += strat.L
                             
-                    if total_L > 0 and price > 0:
+                            # Combined TotPnL = CLP_Unrealized + Hedge_Unrealized + Hedge_Realized - Hedge_Fees + CLP_Fees - Est_Close_Fee
-                        gamma = (Decimal("0.5") * total_L * (price ** Decimal("-1.5")))
+                            tot_curr = (clp_curr_val - strat_inst.target_value) + hedge_pnl_curr + realized_pnl - realized_fees - fee_close_curr + uni_fees
-                        if gamma > 0:
-                            # Equilibrium Price (Diff = 0)
-                            p_mid = price + (diff / gamma)
                             
-                            # Triggers
+                            cur_hl_cost = realized_fees + fee_close_curr
-                            p_buy = price + (dynamic_thresh + diff) / gamma
-                            p_sell = price - (dynamic_thresh - diff) / gamma
                             
-                            if int(time.time()) % 30 == 0:
+                            # Sync to JSON every 1s
+                            update_position_stats(k_strat[0], k_strat[1], {
+                                "combined_TotPnL": round(float(tot_curr), 2),
+                                "hedge_HL_cost_est": round(float(cur_hl_cost), 2),
+                                "hedge_pnl_unrealized": round(float(hedge_pnl_curr), 2),
+                                "last_sync_hl": int(time.time())
+                            })
+
+                    # --- THROTTLED STATUS LOGGING (300s) ---
+                    now = time.time()
+                    last_log = self.last_idle_log_times.get(coin, 0)
+                    log_interval = config.get("LOG_INTERVAL_SECONDS", 300)
+                    
+                    if now - last_log >= log_interval:
+                        self.last_idle_log_times[coin] = now
+                        if is_asymmetric_blocked:
+                             logger.info(f"[ASYMMETRIC] Blocking BUY. Px ({price:.2f}) >= Eq ({p_mid_asym:.2f}) & Not Edge")
+                        
+                        if total_L_log > 0 and price > 0:
+                            gamma_log = (Decimal("0.5") * total_L_log * (price ** Decimal("-1.5")))
+                            if gamma_log > 0:
+                                p_mid_log = price - (diff / gamma_log)
+                                p_buy = price + (dynamic_thresh + diff) / gamma_log
+                                p_sell = price - (dynamic_thresh - diff) / gamma_log
                                 pad = " " if coin == "BNB" else ""
-                                adj_val = data.get('adj_pct', Decimal("0")) * 100
                                 
-                                # PnL Calc
                                 unrealized = current_pnls.get(coin, Decimal("0"))
-                                closed_pnl_total = Decimal("0")
+                                closed_pnl = sum(s['hedge_TotPnL'] for s in self.strategy_states.values() if s['coin'] == coin)
-                                fees_total = Decimal("0")
+                                fees = sum(s['fees'] for s in self.strategy_states.values() if s['coin'] == coin)
-                                for k, s_state in self.strategy_states.items():
+                                total_pnl = (closed_pnl - fees) + unrealized
-                                    if s_state['coin'] == coin:
-                                        closed_pnl_total += s_state.get('hedge_TotPnL', Decimal("0"))
-                                        fees_total += s_state.get('fees', Decimal("0"))
                                 
-                                total_pnl = (closed_pnl_total - fees_total) + unrealized
+                                # Log individual strategy PnL
+                                if strategy_type == "FIXED":
+                                    for k_strat, strat_inst in self.strategies.items():
+                                        if self.strategy_states[k_strat]['coin'] != coin: continue
                                         
-                                pnl_pad = " " if unrealized >= 0 else ""
+                                        # Recalculate for logging (including bounds)
-                                tot_pnl_pad = " " if total_pnl >= 0 else ""
+                                        clp_curr_val = get_clp_value(price, strat_inst)
+                                        clp_low_val = get_clp_value(strat_inst.low_range, strat_inst)
+                                        clp_high_val = get_clp_value(strat_inst.high_range, strat_inst)
                                         
-                                logger.info(f"[IDLE] {coin} | Px: {price:.2f}{pad} | M: {p_mid:.1f}{pad} | B: {p_buy:.1f}{pad} / S: {p_sell:.1f}{pad} | delta: {target_position:.4f}({diff:+.4f}) | Adj: {adj_val:+.2f}%, Vol: {vol_mult:.2f}, Thr: {dynamic_thresh:.4f} | PnL: {unrealized:.2f}{pnl_pad} | TotPnL: {total_pnl:.2f}{tot_pnl_pad}")
+                                        # Use Custom Fixed Target if exists
-                        else:
+                                        target_size = self.custom_fixed_targets.get(k_strat, strat_inst.get_pool_delta(strat_inst.entry_price))
-                             if int(time.time()) % 30 == 0:
+                                        h_entry_px = self.hedge_entry_prices.get(k_strat, strat_inst.entry_price)
+
+                                        if h_entry_px > 0:
+                                            hedge_pnl_curr = (h_entry_px - price) * target_size
+                                            hedge_pnl_low = (h_entry_px - strat_inst.low_range) * target_size
+                                            hedge_pnl_high = (h_entry_px - strat_inst.high_range) * target_size
+                                            fee_open = (target_size * h_entry_px) * Decimal("0.000144")
+                                        else:
+                                            hedge_pnl_curr = hedge_pnl_low = hedge_pnl_high = Decimal("0")
+                                            fee_open = Decimal("0")
+                                        
+                                        fee_close_curr = (target_size * price) * Decimal("0.000432")
+                                        fee_close_low = (target_size * strat_inst.low_range) * Decimal("0.000432")
+                                        fee_close_high = (target_size * strat_inst.high_range) * Decimal("0.000432")
+                                        
+                                        uni_fees = to_decimal(self.strategy_states[k_strat].get('clp_fees', 0))
+                                        tot_curr = (clp_curr_val - strat_inst.target_value) + hedge_pnl_curr - (fee_open + fee_close_curr) + uni_fees
+                                        tot_low = (clp_low_val - strat_inst.target_value) + hedge_pnl_low - (fee_open + fee_close_low) + uni_fees
+                                        tot_high = (clp_high_val - strat_inst.target_value) + hedge_pnl_high - (fee_open + fee_close_high) + uni_fees
+                                        
+                                        cur_hl_cost = fee_open + fee_close_curr
+                                        
+                                        # ID or Range to distinguish
+                                        strat_id = str(k_strat[1]) # Token ID
+                                        logger.info(f"[FIXED] {coin} #{strat_id} | TotPnL: {tot_curr:+.2f} | Down: {tot_low:+.2f} | Up: {tot_high:+.2f} (Inc: Fees ${uni_fees:.2f}, HL Cost ${cur_hl_cost:.2f})")
+
+                                logger.info(f"[IDLE] {coin} | Px: {price:.2f}{pad} | M: {p_mid_log:.1f}{pad} | B: {p_buy:.1f}{pad} / S: {p_sell:.1f}{pad} | delta: {target_position:.4f}({diff:+.4f}) | Adj: {data.get('adj_pct',0)*100:+.2f}%, Vol: {vol_mult:.2f}, Thr: {dynamic_thresh:.4f} | PnL: {unrealized:.2f} | HedgePnL: {total_pnl:.2f}")
+                            else:
                                 logger.info(f"[IDLE] {coin} | Px: {price:.2f} | delta: {target_position:.4f} | Diff: {diff:.4f} (Thresh: {dynamic_thresh:.4f})")
-                    else:
+                        else:
-                        if int(time.time()) % 30 == 0:
+                            logger.info(f"[IDLE] {coin} | Px: {price:.2f} | delta: {target_position:.4f} | Diff: {diff:.4f}")
-                             logger.info(f"[IDLE] {coin} | Px: {price:.2f} | delta: {target_position:.4f} | Diff: {diff:.4f} (Thresh: {dynamic_thresh:.4f})")
 
                 time.sleep(DEFAULT_STRATEGY.get("CHECK_INTERVAL", 1))
 

florida/clp_manager.py

@@ -63,65 +63,34 @@ formatter = logging.Formatter('%(unix_ms)d, %(asctime)s - %(name)s - %(levelname
 file_handler.setFormatter(formatter)
 logger.addHandler(file_handler)
 
-# --- ABIs ---
+from clp_abis import (
-# (Kept minimal for brevity, normally would load from files)
+    NONFUNGIBLE_POSITION_MANAGER_ABI,
-NONFUNGIBLE_POSITION_MANAGER_ABI = json.loads('''
+    UNISWAP_V3_POOL_ABI,
-[
+    ERC20_ABI,
-    {"anonymous": false, "inputs": [{"indexed": true, "internalType": "uint256", "name": "tokenId", "type": "uint256"}, {"indexed": false, "internalType": "uint128", "name": "liquidity", "type": "uint128"}, {"indexed": false, "internalType": "uint256", "name": "amount0", "type": "uint256"}, {"indexed": false, "internalType": "uint256", "name": "amount1", "type": "uint256"}], "name": "IncreaseLiquidity", "type": "event"},
+    UNISWAP_V3_FACTORY_ABI,
-    {"anonymous": false, "inputs": [{"indexed": true, "internalType": "address", "name": "from", "type": "address"}, {"indexed": true, "internalType": "address", "name": "to", "type": "address"}, {"indexed": true, "internalType": "uint256", "name": "tokenId", "type": "uint256"}], "name": "Transfer", "type": "event"},
+    AERODROME_FACTORY_ABI,
-    {"inputs": [], "name": "factory", "outputs": [{"internalType": "address", "name": "", "type": "address"}], "stateMutability": "view", "type": "function"},
+    AERODROME_POOL_ABI,
-    {"inputs": [{"internalType": "uint256", "name": "tokenId", "type": "uint256"}], "name": "positions", "outputs": [{"internalType": "uint96", "name": "nonce", "type": "uint96"}, {"internalType": "address", "name": "operator", "type": "address"}, {"internalType": "address", "name": "token0", "type": "address"}, {"internalType": "address", "name": "token1", "type": "address"}, {"internalType": "uint24", "name": "fee", "type": "uint24"}, {"internalType": "int24", "name": "tickLower", "type": "int24"}, {"internalType": "int24", "name": "tickUpper", "type": "int24"}, {"internalType": "uint128", "name": "liquidity", "type": "uint128"}, {"internalType": "uint256", "name": "feeGrowthInside0LastX128", "type": "uint256"}, {"internalType": "uint256", "name": "feeGrowthInside1LastX128", "type": "uint256"}, {"internalType": "uint128", "name": "tokensOwed0", "type": "uint128"}, {"internalType": "uint128", "name": "tokensOwed1", "type": "uint128"}], "stateMutability": "view", "type": "function"},
+    AERODROME_NPM_ABI,
-    {"inputs": [{"components": [{"internalType": "uint256", "name": "tokenId", "type": "uint256"}, {"internalType": "address", "name": "recipient", "type": "address"}, {"internalType": "uint128", "name": "amount0Max", "type": "uint128"}, {"internalType": "uint128", "name": "amount1Max", "type": "uint128"}], "internalType": "struct INonfungiblePositionManager.CollectParams", "name": "params", "type": "tuple"}], "name": "collect", "outputs": [{"internalType": "uint256", "name": "amount0", "type": "uint256"}, {"internalType": "uint256", "name": "amount1", "type": "uint256"}], "stateMutability": "payable", "type": "function"},
+    SWAP_ROUTER_ABI,
-    {"inputs": [{"components": [{"internalType": "uint256", "name": "tokenId", "type": "uint256"}, {"internalType": "uint128", "name": "liquidity", "type": "uint128"}, {"internalType": "uint256", "name": "amount0Min", "type": "uint256"}, {"internalType": "uint256", "name": "amount1Min", "type": "uint256"}, {"internalType": "uint256", "name": "deadline", "type": "uint256"}], "internalType": "struct INonfungiblePositionManager.DecreaseLiquidityParams", "name": "params", "type": "tuple"}], "name": "decreaseLiquidity", "outputs": [{"internalType": "uint256", "name": "amount0", "type": "uint256"}, {"internalType": "uint256", "name": "amount1", "type": "uint256"}], "stateMutability": "payable", "type": "function"},
+    WETH9_ABI
-    {"inputs": [{"components": [{"internalType": "address", "name": "token0", "type": "address"}, {"internalType": "address", "name": "token1", "type": "address"}, {"internalType": "uint24", "name": "fee", "type": "uint24"}, {"internalType": "int24", "name": "tickLower", "type": "int24"}, {"internalType": "int24", "name": "tickUpper", "type": "int24"}, {"internalType": "uint256", "name": "amount0Desired", "type": "uint256"}, {"internalType": "uint256", "name": "amount1Desired", "type": "uint256"}, {"internalType": "uint256", "name": "amount0Min", "type": "uint256"}, {"internalType": "uint256", "name": "amount1Min", "type": "uint256"}, {"internalType": "address", "name": "recipient", "type": "address"}, {"internalType": "uint256", "name": "deadline", "type": "uint256"}], "internalType": "struct INonfungiblePositionManager.MintParams", "name": "params", "type": "tuple"}], "name": "mint", "outputs": [{"internalType": "uint256", "name": "tokenId", "type": "uint256"}, {"internalType": "uint128", "name": "liquidity", "type": "uint128"}, {"internalType": "uint256", "name": "amount0", "type": "uint256"}, {"internalType": "uint256", "name": "amount1", "type": "uint256"}], "stateMutability": "payable", "type": "function"}
+)
-]
-''')
-
-UNISWAP_V3_POOL_ABI = json.loads('''
-[
-    {"inputs": [], "name": "slot0", "outputs": [{"internalType": "uint160", "name": "sqrtPriceX96", "type": "uint160"}, {"internalType": "int24", "name": "tick", "type": "int24"}, {"internalType": "uint16", "name": "observationIndex", "type": "uint16"}, {"internalType": "uint16", "name": "observationCardinality", "type": "uint16"}, {"internalType": "uint16", "name": "observationCardinalityNext", "type": "uint16"}, {"internalType": "uint32", "name": "feeProtocol", "type": "uint32"}, {"internalType": "bool", "name": "unlocked", "type": "bool"}], "stateMutability": "view", "type": "function"},
-    {"inputs": [], "name": "token0", "outputs": [{"internalType": "address", "name": "", "type": "address"}], "stateMutability": "view", "type": "function"},
-    {"inputs": [], "name": "token1", "outputs": [{"internalType": "address", "name": "", "type": "address"}], "stateMutability": "view", "type": "function"},
-    {"inputs": [], "name": "fee", "outputs": [{"internalType": "uint24", "name": "", "type": "uint24"}], "stateMutability": "view", "type": "function"},
-    {"inputs": [], "name": "tickSpacing", "outputs": [{"internalType": "int24", "name": "", "type": "int24"}], "stateMutability": "view", "type": "function"},
-    {"inputs": [], "name": "liquidity", "outputs": [{"internalType": "uint128", "name": "", "type": "uint128"}], "stateMutability": "view", "type": "function"}
-]
-''')
-
-ERC20_ABI = json.loads('''
-[
-    {"inputs": [], "name": "decimals", "outputs": [{"internalType": "uint8", "name": "", "type": "uint8"}], "stateMutability": "view", "type": "function"},
-    {"inputs": [], "name": "symbol", "outputs": [{"internalType": "string", "name": "", "type": "string"}], "stateMutability": "view", "type": "function"},
-    {"inputs": [{"internalType": "address", "name": "account", "type": "address"}], "name": "balanceOf", "outputs": [{"internalType": "uint256", "name": "", "type": "uint256"}], "stateMutability": "view", "type": "function"},
-    {"inputs": [{"internalType": "address", "name": "spender", "type": "address"}, {"internalType": "uint256", "name": "amount", "type": "uint256"}], "name": "approve", "outputs": [{"internalType": "bool", "name": "", "type": "bool"}], "stateMutability": "nonpayable", "type": "function"},
-    {"inputs": [{"internalType": "address", "name": "owner", "type": "address"}, {"internalType": "address", "name": "spender", "type": "address"}], "name": "allowance", "outputs": [{"internalType": "uint256", "name": "", "type": "uint256"}], "stateMutability": "view", "type": "function"}
-]
-''')
-
-UNISWAP_V3_FACTORY_ABI = json.loads('''
-[
-    {"inputs": [{"internalType": "address", "name": "tokenA", "type": "address"}, {"internalType": "address", "name": "tokenB", "type": "address"}, {"internalType": "uint24", "name": "fee", "type": "uint24"}], "name": "getPool", "outputs": [{"internalType": "address", "name": "pool", "type": "address"}], "stateMutability": "view", "type": "function"}
-]
-''')
-
-SWAP_ROUTER_ABI = json.loads('''
-[
-    {"inputs": [{"components": [{"internalType": "address", "name": "tokenIn", "type": "address"}, {"internalType": "address", "name": "tokenOut", "type": "address"}, {"internalType": "uint24", "name": "fee", "type": "uint24"}, {"internalType": "address", "name": "recipient", "type": "address"}, {"internalType": "uint256", "name": "deadline", "type": "uint256"}, {"internalType": "uint256", "name": "amountIn", "type": "uint256"}, {"internalType": "uint256", "name": "amountOutMinimum", "type": "uint256"}, {"internalType": "uint160", "name": "sqrtPriceLimitX96", "type": "uint160"}], "internalType": "struct ISwapRouter.ExactInputSingleParams", "name": "params", "type": "tuple"}], "name": "exactInputSingle", "outputs": [{"internalType": "uint256", "name": "amountOut", "type": "uint256"}], "stateMutability": "payable", "type": "function"}
-]
-''')
-
-WETH9_ABI = json.loads('''
-[
-    {"constant": false, "inputs": [], "name": "deposit", "outputs": [], "payable": true, "stateMutability": "payable", "type": "function"},
-    {"constant": false, "inputs": [{"name": "wad", "type": "uint256"}], "name": "withdraw", "outputs": [], "payable": false, "stateMutability": "nonpayable", "type": "function"}
-]
-''')
 
 from clp_config import get_current_config, STATUS_FILE
+from tools.universal_swapper import execute_swap
 
 # --- GET ACTIVE DEX CONFIG ---
 CONFIG = get_current_config()
 
+DEX_TO_CHAIN = {
+    "UNISWAP_V3": "ARBITRUM",
+    "UNISWAP_wide": "ARBITRUM",
+    "PANCAKESWAP_BNB": "BSC",
+    "WETH_CBBTC_BASE": "BASE",
+    "UNISWAP_BASE_CL": "BASE",
+    "AERODROME_BASE_CL": "BASE",
+    "AERODROME_WETH-USDC_008": "BASE"
+}
+
 # --- CONFIGURATION FROM STRATEGY ---
 MONITOR_INTERVAL_SECONDS = CONFIG.get("MONITOR_INTERVAL_SECONDS", 60)
 CLOSE_POSITION_ENABLED = CONFIG.get("CLOSE_POSITION_ENABLED", True)
@@ -130,11 +99,77 @@ REBALANCE_ON_CLOSE_BELOW_RANGE = CONFIG.get("REBALANCE_ON_CLOSE_BELOW_RANGE", Tr
 TARGET_INVESTMENT_VALUE_USDC = CONFIG.get("TARGET_INVESTMENT_AMOUNT", 2000)
 INITIAL_HEDGE_CAPITAL_USDC = CONFIG.get("INITIAL_HEDGE_CAPITAL", 1000)
 RANGE_WIDTH_PCT = CONFIG.get("RANGE_WIDTH_PCT", Decimal("0.01"))
+RANGE_MODE = CONFIG.get("RANGE_MODE", "FIXED")
 SLIPPAGE_TOLERANCE = CONFIG.get("SLIPPAGE_TOLERANCE", Decimal("0.02"))
 TRANSACTION_TIMEOUT_SECONDS = CONFIG.get("TRANSACTION_TIMEOUT_SECONDS", 30)
 
+# --- AUTO RANGE HELPERS ---
+
+def get_market_indicators() -> Optional[Dict]:
+    file_path = os.path.join("market_data", "indicators.json")
+    if not os.path.exists(file_path):
+        return None
+    try:
+        with open(file_path, 'r') as f:
+            data = json.load(f)
+        
+        # Check Freshness (5m)
+        last_updated_str = data.get("last_updated")
+        if not last_updated_str: return None
+        
+        last_updated = datetime.fromisoformat(last_updated_str)
+        if (datetime.now() - last_updated).total_seconds() > 300:
+            logger.warning("⚠️ Market indicators file is stale (>5m).")
+            return None
+            
+        return data
+    except Exception as e:
+        logger.error(f"Error reading indicators: {e}")
+        return None
+
+def calculate_dynamic_range_pct(coin: str) -> Optional[Decimal]:
+    indicators = get_market_indicators()
+    if not indicators: return None
+    
+    # Normalize symbols (Hyperliquid uses ETH, BNB while DEX uses WETH, WBNB)
+    symbol_map = {"WETH": "ETH", "WBNB": "BNB"}
+    lookup_coin = symbol_map.get(coin.upper(), coin.upper())
+    
+    coin_data = indicators.get("data", {}).get(lookup_coin)
+    if not coin_data: return None
+    
+    try:
+        price = Decimal(str(coin_data["current_price"]))
+        bb12 = coin_data["bb"]["12h"]
+        bb_low = Decimal(str(bb12["lower"]))
+        bb_high = Decimal(str(bb12["upper"]))
+        ma88 = Decimal(str(coin_data["ma"]["88"]))
+        
+        # Condition 2: Price inside BB 12h
+        if not (bb_low <= price <= bb_high):
+            logger.warning(f"⚖️ AUTO: Price {price:.2f} is outside BB 12h ({bb_low:.2f} - {bb_high:.2f}). Skipping AUTO.")
+            return None
+            
+        # Condition 3: MA 88 inside BB 12h
+        if not (bb_low <= ma88 <= bb_high):
+            logger.warning(f"⚖️ AUTO: MA 88 {ma88:.2f} is outside BB 12h. Skipping AUTO.")
+            return None
+            
+        # Calculation: Max distance to BB edge
+        dist_low = abs(price - bb_low)
+        dist_high = abs(price - bb_high)
+        max_dist = max(dist_low, dist_high)
+        
+        range_pct = max_dist / price
+        return range_pct
+        
+    except (KeyError, TypeError, ValueError) as e:
+        logger.error(f"Error in dynamic range calc: {e}")
+        return None
+
 # --- CONFIGURATION CONSTANTS ---
 NONFUNGIBLE_POSITION_MANAGER_ADDRESS = CONFIG["NPM_ADDRESS"]
+# Router address not strictly needed for Manager if using universal_swapper, but kept for ref
 UNISWAP_V3_SWAP_ROUTER_ADDRESS = CONFIG["ROUTER_ADDRESS"]
 # Arbitrum WETH/USDC (or generic T0/T1)
 WETH_ADDRESS = CONFIG["WRAPPED_NATIVE_ADDRESS"]
@@ -311,7 +346,8 @@ def get_position_details(w3: Web3, npm_contract, factory_contract, token_id: int
         if pool_address == '0x0000000000000000000000000000000000000000':
             return None, None
         
-        pool_contract = w3.eth.contract(address=pool_address, abi=UNISWAP_V3_POOL_ABI)
+        pool_abi = AERODROME_POOL_ABI if "AERODROME" in CONFIG.get("NAME", "").upper() else UNISWAP_V3_POOL_ABI
+        pool_contract = w3.eth.contract(address=pool_address, abi=pool_abi)
 
         return {
             "token0_address": token0_address, "token1_address": token1_address,
@@ -397,6 +433,7 @@ def ensure_allowance(w3: Web3, account: LocalAccount, token_address: str, spende
 def check_and_swap_for_deposit(w3: Web3, router_contract, account: LocalAccount, token0: str, token1: str, amount0_needed: int, amount1_needed: int, sqrt_price_x96: int, d0: int, d1: int) -> bool:
     """
     Checks balances, wraps ETH if needed, and swaps ONLY the required surplus to meet deposit requirements.
+    Uses universal_swapper for the swap execution.
     """
     token0 = clean_address(token0)
     token1 = clean_address(token1)
@@ -444,12 +481,12 @@ def check_and_swap_for_deposit(w3: Web3, router_contract, account: LocalAccount,
     # Price of Token0 in terms of Token1
     price_0_in_1 = price_from_sqrt_price_x96(sqrt_price_x96, d0, d1)
     
-    swap_call = None
+    chain_name = DEX_TO_CHAIN.get(os.environ.get("TARGET_DEX", "UNISWAP_V3"), "ARBITRUM")
-    token_in, token_out = None, None
-    amount_in = 0
     
-    buffer_multiplier = Decimal("1.02") # 2% buffer for slippage/price moves
+    token_in_sym, token_out_sym = None, None
+    amount_in_float = 0.0
     
+    buffer_multiplier = Decimal("1.03")
     if deficit0 > 0 and bal1 > amount1_needed:
         # Need T0 (ETH), Have extra T1 (USDC)
         # Swap T1 -> T0
@@ -462,8 +499,11 @@ def check_and_swap_for_deposit(w3: Web3, router_contract, account: LocalAccount,
         surplus1 = bal1 - amount1_needed
         
         if surplus1 >= amount_in_needed:
-            token_in, token_out = token1, token0
+            # Get Symbols
-            amount_in = amount_in_needed
+            token_in_sym = token1_c.functions.symbol().call().upper()
+            token_out_sym = token0_c.functions.symbol().call().upper()
+            amount_in_float = float(Decimal(amount_in_needed) / Decimal(10**d1))
+            
             logger.info(f"🧮 Calc: Need {deficit0} T0. Cost ~{amount_in_needed} T1. Surplus: {surplus1}")
         else:
             logger.warning(f"❌ Insufficient Surplus T1. Need {amount_in_needed}, Have {surplus1}")
@@ -479,38 +519,46 @@ def check_and_swap_for_deposit(w3: Web3, router_contract, account: LocalAccount,
             surplus0 = bal0 - amount0_needed
             
             if surplus0 >= amount_in_needed:
-                token_in, token_out = token0, token1
+                token_in_sym = token0_c.functions.symbol().call().upper()
-                amount_in = amount_in_needed
+                token_out_sym = token1_c.functions.symbol().call().upper()
+                amount_in_float = float(Decimal(amount_in_needed) / Decimal(10**d0))
+                
                 logger.info(f"🧮 Calc: Need {deficit1} T1. Cost ~{amount_in_needed} T0. Surplus: {surplus0}")
             else:
                  logger.warning(f"❌ Insufficient Surplus T0. Need {amount_in_needed}, Have {surplus0}")
         
-    if token_in and amount_in > 0:
+    if token_in_sym and amount_in_float > 0:
-        logger.info(f"🔄 Swapping {amount_in} {token_in} to cover deficit...")
+        logger.info(f"🔄 Delegating Swap to Universal Swapper: {amount_in_float} {token_in_sym} -> {token_out_sym} on {chain_name}...")
+        try:
+            # Use Standard Fee (500) if configured fee is weird (like 1 for Aerodrome tickSpacing)
+            # This ensures the standard router finds a valid pool (WETH/USDC 0.05%)
+            swap_fee = POOL_FEE if POOL_FEE >= 100 else 500
             
-        if not ensure_allowance(w3, account, token_in, UNISWAP_V3_SWAP_ROUTER_ADDRESS, amount_in):
+            # Call Universal Swapper
+            execute_swap(chain_name, token_in_sym, token_out_sym, amount_in_float, fee_tier=swap_fee)
+            
+            # Wait for node indexing
+            logger.info("⏳ Waiting for balance update...")
+            time.sleep(2)
+
+            # Retry check loop
+            for i in range(3):
+                bal0 = token0_c.functions.balanceOf(account.address).call()
+                bal1 = token1_c.functions.balanceOf(account.address).call()
+                
+                if bal0 >= amount0_needed and bal1 >= amount1_needed:
+                    logger.info("✅ Balances sufficient.")
+                    return True
+                
+                if i < 2:
+                    logger.info(f"⏳ Balance not updated yet, retrying ({i+1}/3)...")
+                    time.sleep(2)
+            
+            logger.warning(f"⚠️ Swap executed but still short? T0: {bal0}/{amount0_needed}, T1: {bal1}/{amount1_needed}")
             return False
-            
+        except Exception as e:
-        params = (
+             logger.error(f"❌ Universal Swap Failed: {e}")
-            token_in, token_out, POOL_FEE, account.address, 
+             return False
-            int(time.time()) + 120, 
-            amount_in, 
-            0, # amountOutMin (Market swap for rebalance)
-            0
-        )
-        
-        receipt = send_transaction_robust(w3, account, router_contract.functions.exactInputSingle(params), extra_msg="Swap Surplus")
-        if receipt:
-            # Final check - Recursive check to ensure we hit target or retry
-            # But return True/False based on immediate check
-            bal0 = token0_c.functions.balanceOf(account.address).call()
-            bal1 = token1_c.functions.balanceOf(account.address).call()
-            # If we are strictly >= needed, great. 
-            if bal0 >= amount0_needed and bal1 >= amount1_needed:
-                return True
-            else:
-                logger.warning(f"⚠️ Swap executed but still short? T0: {bal0}/{amount0_needed}, T1: {bal1}/{amount1_needed}")
-                return False
 
     logger.warning(f"❌ Insufficient funds (No suitable swap found). T0: {bal0}/{amount0_needed}, T1: {bal1}/{amount1_needed}")
     return False
@@ -531,14 +579,20 @@ def mint_new_position(w3: Web3, npm_contract, account: LocalAccount, token0: str
     amount1_min = int(Decimal(amount1) * (Decimal(1) - SLIPPAGE_TOLERANCE))
     
     # 3. Mint
-    params = (
+    base_params = [
         token0, token1, POOL_FEE, 
         tick_lower, tick_upper, 
         amount0, amount1, 
         amount0_min, amount1_min, 
         account.address, 
         int(time.time()) + 180
-    )
+    ]
+    
+    # Aerodrome Slipstream expects sqrtPriceX96 as the last parameter
+    if "AERODROME" in os.environ.get("TARGET_DEX", "").upper():
+        base_params.append(0) # sqrtPriceX96
+        
+    params = tuple(base_params)
     
     receipt = send_transaction_robust(w3, account, npm_contract.functions.mint(params), extra_msg="Mint Position")
     
@@ -696,9 +750,43 @@ def update_position_status(token_id: int, status: str, extra_data: Dict = {}):
     save_status_data(data)
     logger.info(f"💾 Updated Position {token_id} status to {status}")
 
+import argparse
+import requests
+
+# --- REAL-TIME ORACLE HELPER ---
+def get_realtime_price(coin: str) -> Optional[Decimal]:
+    """Fetches current mid-price directly from Hyperliquid API (low latency)."""
+    try:
+        url = "https://api.hyperliquid.xyz/info"
+        response = requests.post(url, json={"type": "allMids"}, timeout=2)
+        if response.status_code == 200:
+            data = response.json()
+            # Hyperliquid symbols are usually clean (ETH, BNB)
+            # Map common variations just in case
+            target = coin.upper().replace("WETH", "ETH").replace("WBNB", "BNB")
+            
+            if target in data:
+                return Decimal(data[target])
+    except Exception as e:
+        logger.warning(f"⚠️ Failed to fetch realtime Oracle price: {e}")
+    return None
+
 # --- MAIN LOOP ---
 
 def main():
+    # --- ARGUMENT PARSING ---
+    parser = argparse.ArgumentParser(description="Uniswap CLP Manager")
+    parser.add_argument("--force", type=float, help="Force open a position with specific range width (e.g., 0.75), ignoring AUTO safe checks.")
+    args = parser.parse_args()
+    
+    force_mode_active = False
+    force_width_pct = Decimal("0")
+    
+    if args.force:
+        force_mode_active = True
+        force_width_pct = Decimal(str(args.force)) / 100 # Convert 0.75 -> 0.0075
+        logger.warning(f"🚨 FORCE MODE ACTIVE: Will bypass safe checks for FIRST position with width {args.force}%")
+
     logger.info(f"🔷 {CONFIG['NAME']} Manager V2 Starting...")
     load_dotenv(override=True)
     
@@ -722,9 +810,23 @@ def main():
     logger.info(f"👤 Wallet: {account.address}")
     
     # Contracts
-    npm = w3.eth.contract(address=clean_address(NONFUNGIBLE_POSITION_MANAGER_ADDRESS), abi=NONFUNGIBLE_POSITION_MANAGER_ABI)
+    target_dex_name = os.environ.get("TARGET_DEX", "").upper()
+    if "AERODROME" in target_dex_name or "AERODROME" in CONFIG.get("NAME", "").upper():
+        logger.info("✈️ Using Aerodrome NPM ABI")
+        npm = w3.eth.contract(address=clean_address(NONFUNGIBLE_POSITION_MANAGER_ADDRESS), abi=AERODROME_NPM_ABI)
+    else:
+        npm = w3.eth.contract(address=clean_address(NONFUNGIBLE_POSITION_MANAGER_ADDRESS), abi=NONFUNGIBLE_POSITION_MANAGER_ABI)
+        
     factory_addr = npm.functions.factory().call()
-    factory = w3.eth.contract(address=factory_addr, abi=UNISWAP_V3_FACTORY_ABI)
+    
+    # Select Factory ABI based on DEX type
+    if "AERODROME" in target_dex_name or "AERODROME" in CONFIG.get("NAME", "").upper():
+        logger.info("✈️ Using Aerodrome Factory ABI (tickSpacing instead of fee)")
+        factory_abi = AERODROME_FACTORY_ABI
+    else:
+        factory_abi = UNISWAP_V3_FACTORY_ABI
+        
+    factory = w3.eth.contract(address=factory_addr, abi=factory_abi)
     router = w3.eth.contract(address=clean_address(UNISWAP_V3_SWAP_ROUTER_ADDRESS), abi=SWAP_ROUTER_ABI)
     
     while True:
@@ -817,7 +919,21 @@ def main():
                     pnl_unrealized = current_pos_value_usd - initial_value
                     total_pnl_usd = pnl_unrealized + total_fees_usd
 
-                    pnl_text = f" | TotPnL: ${total_pnl_usd:.2f} (Fees: ${total_fees_usd:.2f})"
+                    # --- PERSIST PERFORMANCE TO JSON ---
+                    update_position_status(token_id, "OPEN", {
+                        "clp_fees": round(float(total_fees_usd), 2),
+                        "clp_TotPnL": round(float(total_pnl_usd), 2)
+                    })
+
+                    # Calculate Fees/h
+                    fees_per_h_str = "0.00"
+                    ts_open = active_auto_pos.get('timestamp_open')
+                    if ts_open:
+                        hours_open = (time.time() - ts_open) / 3600
+                        if hours_open > 0.01:
+                            fees_per_h_str = f"{float(total_fees_usd) / hours_open:.2f}"
+
+                    pnl_text = f" | TotPnL: ${total_pnl_usd:.2f} (Fees: ${total_fees_usd:.2f} | ${fees_per_h_str}/h)"
                     logger.info(f"Position {token_id}: {status_msg} | Price: {current_price:.4f} [{lower_price:.4f} - {upper_price:.4f}]{pnl_text}")
                     
                     # --- KPI LOGGING ---
@@ -845,6 +961,32 @@ def main():
                         
                         log_kpi_snapshot(snapshot)
 
+                    # --- REPOSITION LOGIC ---
+                    pos_range_mode = active_auto_pos.get("range_mode", RANGE_MODE)
+                    
+                    if pos_range_mode == "AUTO" and CLOSE_POSITION_ENABLED:
+                        coin_for_dynamic = pos_details['token0_symbol'] if not is_t0_stable else pos_details['token1_symbol']
+                        new_range_width = calculate_dynamic_range_pct(coin_for_dynamic)
+                        
+                        if new_range_width:
+                            # Use initial width from JSON, or current config width as fallback
+                            old_range_width = Decimal(str(active_auto_pos.get("range_width_initial", RANGE_WIDTH_PCT)))
+                            
+                            # Condition A: Difference > 20%
+                            width_diff_pct = abs(new_range_width - old_range_width) / old_range_width
+                            
+                            # Condition B: Profit > 0.1%
+                            profit_pct = total_pnl_usd / initial_value
+                            
+                            logger.info(f"📊 AUTO Check: CurRange {old_range_width*100:.2f}%, NewRange {new_range_width*100:.2f}% | Diff {width_diff_pct*100:.1f}% | Profit {profit_pct*100:.2f}%")
+                            
+                            if width_diff_pct > 0.20 and profit_pct > 0.001:
+                                logger.warning(f"🔄 REPOSITION TRIGGERED: Width Diff {width_diff_pct*100:.1f}%, Profit {profit_pct*100:.2f}%")
+                                # Set in_range to False to force the closing logic below
+                                in_range = False 
+                        else:
+                            logger.warning(f"⚖️ AUTO Check Skipped: Market indicators for {coin_for_dynamic} are stale or conditions not met.")
+
                     if not in_range and CLOSE_POSITION_ENABLED:
                         logger.warning(f"🛑 Closing Position {token_id} (Out of Range)")
                         update_position_status(token_id, "CLOSING")
@@ -875,14 +1017,73 @@ def main():
                 fee = POOL_FEE
                 
                 pool_addr = factory.functions.getPool(token0, token1, fee).call()
-                pool_c = w3.eth.contract(address=pool_addr, abi=UNISWAP_V3_POOL_ABI)
+                pool_abi = AERODROME_POOL_ABI if "AERODROME" in CONFIG.get("NAME", "").upper() else UNISWAP_V3_POOL_ABI
+                pool_c = w3.eth.contract(address=pool_addr, abi=pool_abi)
                 pool_data = get_pool_dynamic_data(pool_c)
                 
                 if pool_data:
                     tick = pool_data['tick']
-                    # Define Range (+/- 2.5%)
+
-                    # log(1.025) / log(1.0001) approx 247 tick delta
+                    # --- PRE-CALCULATE ESSENTIALS ---
-                    tick_delta = int(math.log(1 + float(RANGE_WIDTH_PCT)) / math.log(1.0001))
+                    # Fetch Decimals & Symbols immediately (Required for Oracle Check)
+                    t0_c = w3.eth.contract(address=token0, abi=ERC20_ABI)
+                    t1_c = w3.eth.contract(address=token1, abi=ERC20_ABI)
+                    d0 = t0_c.functions.decimals().call()
+                    d1 = t1_c.functions.decimals().call()
+                    
+                    t0_sym = t0_c.functions.symbol().call().upper()
+                    t1_sym = t1_c.functions.symbol().call().upper()
+                    stable_symbols = ["USDC", "USDT", "DAI", "FDUSD", "USDS"]
+                    
+                    is_t1_stable = any(s in t1_sym for s in stable_symbols)
+                    is_t0_stable = any(s in t0_sym for s in stable_symbols)
+                    
+                    price_0_in_1 = price_from_sqrt_price_x96(pool_data['sqrtPriceX96'], d0, d1)
+                    
+                    # Define coin_sym early for Guard Rails
+                    coin_sym = CONFIG.get("COIN_SYMBOL", "ETH")
+
+                    # --- ORACLE GUARD RAIL ---
+                    # Protect against Pool/Oracle divergence (Manipulation/Depeg/Lag)
+                    if not force_mode_active:
+                        oracle_price = get_realtime_price(coin_sym)
+                        
+                        if oracle_price:
+                            pool_price_dec = price_0_in_1 if is_t1_stable else (Decimal("1") / price_0_in_1)
+                            divergence = abs(pool_price_dec - oracle_price) / oracle_price
+                            
+                            if divergence > Decimal("0.0025"): # 0.25% Tolerance
+                                logger.warning(f"⚠️ Price Divergence! Pool: {pool_price_dec:.2f} vs Oracle: {oracle_price:.2f} (Diff: {divergence*100:.2f}%). Aborting.")
+                                time.sleep(10)
+                                continue
+                        else:
+                            logger.warning("⚠️ Could not fetch Oracle price. Proceeding with caution (or consider aborting).")
+
+                    # --- DYNAMIC RANGE CALCULATION ---
+                    active_range_width = RANGE_WIDTH_PCT
+                    current_range_mode = RANGE_MODE
+                    
+                    # 1. PRIORITY: Force Mode
+                    if force_mode_active:
+                        logger.warning(f"🚨 FORCE OVERRIDE: Using forced width {force_width_pct*100:.2f}% (Ignoring safe checks)")
+                        active_range_width = force_width_pct
+                        current_range_mode = "FIXED"
+                        
+                    # 2. AUTO Mode (Only if not forced)
+                    elif RANGE_MODE == "AUTO":
+                        dynamic_width = calculate_dynamic_range_pct(coin_sym)
+                        if dynamic_width:
+                            active_range_width = dynamic_width
+                            logger.info(f"⚖️ AUTO Range Activated: {active_range_width*100:.4f}%")
+                        else:
+                            logger.info(f"⛔ AUTO conditions not met. Waiting for safe entry...")
+                            time.sleep(MONITOR_INTERVAL_SECONDS)
+                            continue # Skip logic
+
+                    # 3. FIXED Mode (Default Fallback) is already set by initial active_range_width
+
+                    # Define Range
+                    tick_delta = int(math.log(1 + float(active_range_width)) / math.log(1.0001))
                     
                     # Fetch actual tick spacing from pool
                     tick_spacing = pool_c.functions.tickSpacing().call()
@@ -893,28 +1094,10 @@ def main():
                     
                     # Calculate Amounts
                     # Target Value logic
-                    d0 = 18 # Default WETH (Corrected below if needed, but we rely on raw logic)
-                    # Actually, we should fetch decimals from contract to be safe, but config assumes standard.
-                    
-                    # Fetch Decimals for precision
-                    t0_c = w3.eth.contract(address=token0, abi=ERC20_ABI)
-                    t1_c = w3.eth.contract(address=token1, abi=ERC20_ABI)
-                    d0 = t0_c.functions.decimals().call()
-                    d1 = t1_c.functions.decimals().call()
                     
                     # Determine Investment Value in Token1 terms
                     target_usd = Decimal(str(TARGET_INVESTMENT_VALUE_USDC))
                     
-                    # Check which is stable
-                    t0_sym = t0_c.functions.symbol().call().upper()
-                    t1_sym = t1_c.functions.symbol().call().upper()
-                    stable_symbols = ["USDC", "USDT", "DAI", "FDUSD", "USDS"]
-                    
-                    is_t1_stable = any(s in t1_sym for s in stable_symbols)
-                    is_t0_stable = any(s in t0_sym for s in stable_symbols)
-                    
-                    price_0_in_1 = price_from_sqrt_price_x96(pool_data['sqrtPriceX96'], d0, d1)
-                    
                     investment_val_token1 = Decimal("0")
                     
                     if str(TARGET_INVESTMENT_VALUE_USDC).upper() == "MAX":
@@ -939,10 +1122,33 @@ def main():
                     amt0, amt1 = calculate_mint_amounts(tick, tick_lower, tick_upper, investment_val_token1, d0, d1, pool_data['sqrtPriceX96'])
                     
                     if check_and_swap_for_deposit(w3, router, account, token0, token1, amt0, amt1, pool_data['sqrtPriceX96'], d0, d1):
+                        # --- STALE DATA PROTECTION (Pre-Mint) ---
+                        # Check if price moved significantly during calculation/swap
+                        pre_mint_data = get_pool_dynamic_data(pool_c)
+                        if pre_mint_data:
+                            tick_diff = abs(pre_mint_data['tick'] - pool_data['tick'])
+                            # 13 ticks ~ 0.13% price move. Abort if volatile.
+                            if tick_diff > 13:
+                                logger.warning(f"⚠️ Price moved too much ({tick_diff} ticks) during setup/swap. Aborting mint to prevent bad entry.")
+                                time.sleep(5)
+                                continue
+
                         minted = mint_new_position(w3, npm, account, token0, token1, amt0, amt1, tick_lower, tick_upper, d0, d1)
                         if minted:
-                            # Calculate entry price and amounts for JSON compatibility
+                            # --- DISABLE FORCE MODE AFTER FIRST MINT ---
-                            price_0_in_1 = price_from_sqrt_price_x96(pool_data['sqrtPriceX96'], d0, d1)
+                            if force_mode_active:
+                                logger.info("🛑 FORCE MODE CONSUMED: Returning to standard AUTO checks for future positions.")
+                                force_mode_active = False
+
+                            # --- RE-FETCH PRICE FOR ACCURATE ENTRY DATA (Post-Mint) ---
+                            fresh_pool_data = get_pool_dynamic_data(pool_c)
+                            if fresh_pool_data:
+                                fresh_tick = fresh_pool_data['tick']
+                                price_0_in_1 = price_from_tick(fresh_tick, d0, d1)
+                                logger.info(f"🔄 Refreshed Entry Tick: {fresh_tick} (Was: {pool_data['tick']})")
+                            else:
+                                price_0_in_1 = price_from_tick(pool_data['tick'], d0, d1)
+                            
                             fmt_amt0 = float(Decimal(minted['amount0']) / Decimal(10**d0))
                             fmt_amt1 = float(Decimal(minted['amount1']) / Decimal(10**d1))
                             
@@ -970,6 +1176,8 @@ def main():
                                 "range_lower": round(r_lower, 4),
                                 "token0_decimals": d0,
                                 "token1_decimals": d1,
+                                "range_mode": current_range_mode,
+                                "range_width_initial": float(active_range_width),
                                 "timestamp_open": int(time.time()),
                                 "time_open": datetime.now().strftime("%d.%m.%y %H:%M:%S")
                             }

florida/doc/AERODROME_CL_INTEGRATION.md

@@ -0,0 +1,103 @@
+# Aerodrome Slipstream (CLP) Integration Guide
+
+This document details the specific technical requirements for integrating **Aerodrome Slipstream** (Concentrated Liquidity) pools into a Uniswap V3-compatible bot. Aerodrome Slipstream is a fork of Uniswap V3 (via Velodrome V2) but introduces critical ABI and logic changes that cause standard implementations to fail.
+
+## 1. Key Differences from Uniswap V3
+
+| Feature | Standard Uniswap V3 | Aerodrome Slipstream |
+| :--- | :--- | :--- |
+| **Factory Pool Lookup** | `getPool(tokenA, tokenB, fee)` | `getPool(tokenA, tokenB, tickSpacing)` |
+| **NPM Mint Parameter** | `uint24 fee` | `int24 tickSpacing` |
+| **NPM Mint Struct** | `MintParams { ..., deadline }` | `MintParams { ..., deadline, sqrtPriceX96 }` |
+| **Pool Identification** | Fee Tier (e.g., 500, 3000) | Tick Spacing (e.g., 1, 100) |
+
+## 2. ABI Modifications
+
+To interact with the Aerodrome `NonfungiblePositionManager` (NPM), you must use a modified ABI. The standard Uniswap V3 NPM ABI will result in revert errors during encoding.
+
+### MintParams Struct
+The `MintParams` struct in the `mint` function input must be defined as follows:
+
+```json
+{
+  "components": [
+    {"internalType": "address", "name": "token0", "type": "address"},
+    {"internalType": "address", "name": "token1", "type": "address"},
+    {"internalType": "int24", "name": "tickSpacing", "type": "int24"}, // CHANGED from uint24 fee
+    {"internalType": "int24", "name": "tickLower", "type": "int24"},
+    {"internalType": "int24", "name": "tickUpper", "type": "int24"},
+    {"internalType": "uint256", "name": "amount0Desired", "type": "uint256"},
+    {"internalType": "uint256", "name": "amount1Desired", "type": "uint256"},
+    {"internalType": "uint256", "name": "amount0Min", "type": "uint256"},
+    {"internalType": "uint256", "name": "amount1Min", "type": "uint256"},
+    {"internalType": "address", "name": "recipient", "type": "address"},
+    {"internalType": "uint256", "name": "deadline", "type": "uint256"},
+    {"internalType": "uint160", "name": "sqrtPriceX96", "type": "uint160"} // ADDED
+  ],
+  "internalType": "struct INonfungiblePositionManager.MintParams",
+  "name": "params",
+  "type": "tuple"
+}
+```
+
+## 3. Python Implementation Strategy
+
+### A. Configuration
+When defining the pool configuration, use the **Tick Spacing** value (e.g., 100) where you would normally put the Fee.
+
+```python
+"AERODROME_BASE_CL": {
+    "NAME": "Aerodrome SlipStream (Base) - WETH/USDC",
+    "NPM_ADDRESS": "0x827922686190790b37229fd06084350E74485b72", # Aerodrome NPM
+    "POOL_FEE": 100, # Actual TickSpacing (e.g., 100 for volatile, 1 for stable)
+    ...
+}
+```
+
+### B. Logic Changes (`clp_manager.py`)
+
+1.  **ABI Selection:** Dynamically switch between Standard and Aerodrome ABIs based on the target DEX.
+2.  **Parameter Construction:** When calling `mint`, check if the target is Aerodrome. If so, append `0` (for `sqrtPriceX96`) to the arguments tuple.
+
+```python
+# Pseudo-code for Mint Call
+base_params = [
+    token0, token1, 
+    tick_spacing, # Passed as int24
+    tick_lower, tick_upper, 
+    amount0, amount1, 
+    amount0_min, amount1_min, 
+    recipient, 
+    deadline
+]
+
+if is_aerodrome:
+    base_params.append(0) # sqrtPriceX96 must be present and 0 for existing pools
+
+npm_contract.functions.mint(tuple(base_params)).transact(...)
+```
+
+### C. Swap Router
+Aerodrome Slipstream's **SwapRouter** (`0xbe6D...`) uses the `SwapRouter01` ABI style (includes `deadline` in `ExactInputSingleParams`), whereas standard Uniswap V3 on Base often uses `SwapRouter02` (no deadline). 
+
+*   **Tip:** For simplicity, you can use the **Standard Uniswap V3 Router** (`0x2626...`) on Base to swap tokens (WETH/USDC) even if you are providing liquidity on Aerodrome, provided the tokens are standard. This avoids ABI headaches with the Aerodrome Router if you only need simple swaps.
+
+## 4. Troubleshooting Common Errors
+
+*   **`('execution reverted', 'no data')`**:
+    *   **Cause 1:** Passing `fee` (uint24) instead of `tickSpacing` (int24).
+    *   **Cause 2:** Missing `sqrtPriceX96` parameter in the struct.
+    *   **Cause 3:** Tick range (`tickLower`, `tickUpper`) not aligned to the pool's `tickSpacing` (e.g., must be multiples of 100).
+*   **`BadFunctionCallOutput` / `InsufficientDataBytes`**:
+    *   **Cause:** Using the wrong Contract Address for the chain (e.g., using Mainnet NPM address on Base).
+    *   **Cause:** Calling `factory()` on a contract that doesn't have it (wrong ABI or Proxy).
+
+## 5. Addresses (Base)
+
+| Contract | Address |
+| :--- | :--- |
+| **Aerodrome NPM** | `0x827922686190790b37229fd06084350E74485b72` |
+| **Aerodrome Factory** | `0x5e7BB104d84c7CB9B682AaC2F3d509f5F406809A` |
+| **Uniswap V3 NPM** | `0xC36442b4a4522E871399CD717aBDD847Ab11FE88` |
+| **WETH** | `0x4200000000000000000000000000000000000006` |
+| **USDC** | `0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913` |

florida/doc/CLP_DATA_INTERPRETATION.md

@@ -0,0 +1,66 @@
+# Interpreting CLP Pool Data
+
+This guide explains how to read and use the data generated by the **Pool Scanner** and **Analyzer** tools to select the most profitable liquidity pools.
+
+## 1. The Data Pipeline
+
+1.  **Scanner (`pool_scanner.py`):** Runs continuously. Connects to the blockchain every 10 minutes and records the "Heartbeat" of each pool:
+    *   **Tick:** The current price tick.
+    *   **FeeGrowthGlobal:** A cumulative counter of all fees earned by the pool since inception.
+2.  **Analyzer (`analyze_pool_data.py`):** Runs on demand. It "replays" the history recorded by the scanner to simulate how a specific strategy (e.g., $10k investment, +/- 10% range) would have performed.
+
+## 2. Reading the Analyzer Report
+
+When you run `python tools/analyze_pool_data.py`, you get a table like this:
+
+```text
+=== POOL PERFORMANCE REPORT ===
+Pool                                      Duration   Rebalances  Final Equity (Est)  ROI %
+Uniswap V3 (Base) - WETH/USDC             1 days     2           10050.00            0.50
+Aerodrome SlipStream (Base) - WETH/USDC   1 days     0           10010.00            0.10
+```
+
+### Key Metrics
+
+*   **Duration:** How long the scanner has been tracking this pool. Longer duration = more reliable data.
+*   **Rebalances:** How many times the price went **Out of Range** (+/- 10%) during this period.
+    *   **Low is Good:** Means the price is stable relative to your range. Less work for the bot, fewer fees paid.
+    *   **High is Bad:** Means the pool is volatile. You are paying frequent swap/gas fees to move your range.
+*   **Final Equity (Est):** Your simulated $10,000 starting capital after:
+    *   (+) Adding estimated Fee Income.
+    *   (-) Subtracting Rebalance Costs (0.1% per rebalance).
+    *   (+/-) Asset Value Change (Impermanent Loss is inherently captured because we track value in USD).
+*   **ROI %:** The return on investment for the duration.
+    *   `0.50%` in 1 day approx `180%` APR (compounded).
+
+## 3. Selecting a Pool
+
+Use the report to find the "Sweet Spot":
+
+| Scenario | Verdict |
+| :--- | :--- |
+| **High Fees, Low Rebalances** | **🥇 BEST.** The ideal pool. Price stays in range, volume is high. |
+| **High Fees, High Rebalances** | **⚠️ RISKY.** You earn a lot, but you burn a lot on swaps/gas. Net profit might be lower than expected. |
+| **Low Fees, Low Rebalances** | **😴 SAFE.** Good for "set and forget," but returns are meager. |
+| **Low Fees, High Rebalances** | **❌ AVOID.** You will lose money rebalancing a chop-heavy pool with no volume. |
+
+## 4. Advanced: Raw Data (`pool_history.csv`)
+
+If you open the CSV directly, you will see columns like `feeGrowthGlobal0X128`.
+
+*   **Fee Growth:** This number ONLY goes up.
+*   **Speed of Growth:** The faster this number increases, the higher the trading volume (and APR) of the pool.
+*   **Tick:**
+    *   `Price = 1.0001 ^ Tick`
+    *   Stable Tick = Low Volatility.
+
+## 5. Simulation Logic
+
+The Analyzer assumes:
+1.  **Initial Investment:** $10,000 USD.
+2.  **Strategy:** Active Management (Auto-Rebalance).
+3.  **Range:** +/- 10% (Configurable in script).
+4.  **Cost:** 0.1% of capital per rebalance (Swap fee + Gas estimate).
+5.  **Fee Accrual:** You ONLY earn fees when the recorded tick is inside your virtual range.
+
+*Note: This is a "Paper Trading" simulation. Real-world slippage and exact execution timing may vary.*

florida/doc/SECURITY_AND_OPTIMIZATION.md

@@ -0,0 +1,93 @@
+# Security & Optimization Protocols
+
+This document details the safety mechanisms, entry guardrails, and optimization strategies implemented in the Uniswap Auto CLP & Hedger system.
+
+## 1. CLP Manager: Entry & Position Safety
+
+The `clp_manager.py` module is responsible for opening and managing Concentrated Liquidity Positions (CLP). It implements strict checks to ensure positions are only opened under favorable conditions.
+
+### A. Oracle Guard Rail (Anti-Manipulation)
+**Goal:** Prevent entering a pool that is actively being manipulated (Flash Loans) or has momentarily de-pegged.
+*   **Mechanism:** Before any calculation, the bot fetches the **Real-Time Mid Price** directly from the Hyperliquid API.
+*   **Logic:**
+    *   `Pool Price` is calculated from the on-chain `sqrtPriceX96`.
+    *   `Oracle Price` is fetched from Hyperliquid (`https://api.hyperliquid.xyz/info`).
+    *   **Rule:** If `abs(Pool - Oracle) / Oracle > 0.25%`, the bot **ABORTS** the entry.
+*   **Benefit:** Protects against entering at a "fake" price which would lead to instant arbitrage loss (LVR).
+
+### B. Stale Tick Protection (Volatility Guard)
+**Goal:** Prevent entering a position if the price moves significantly during the transaction setup phase (e.g., while swapping tokens).
+*   **Mechanism:**
+    1.  The bot calculates the target tick range at $T_0$.
+    2.  It performs necessary token swaps (e.g., USDC -> WETH) which takes time ($T_1$).
+    3.  **Critical Check:** Just before minting ($T_2$), it re-fetches the current pool tick.
+*   **Rule:** If `abs(Tick_T0 - Tick_T2) > 13 ticks` (approx 0.13%), the bot **ABORTS** the mint transaction.
+*   **Benefit:** Ensures the range is centered on the *actual* execution price, not an outdated one.
+
+### C. Post-Mint Accuracy
+**Goal:** Ensure the "Entry Price" recorded for the Hedger is 100% accurate.
+*   **Mechanism:** Immediately after the Mint transaction is confirmed on-chain, the bot fetches the pool state *one more time*.
+*   **Benefit:** Captures the exact price impact of the user's own liquidity insertion, preventing discrepancies in the Hedger's PnL calculations.
+
+### D. Safe Entry Zones (AUTO Mode)
+**Goal:** Only enter when mean reversion is statistically likely.
+*   **Mechanism:**
+    *   **Bollinger Bands (BB):** Price must be inside the 12h BB.
+    *   **Moving Average (MA):** The MA88 must also be inside the 12h BB.
+*   **Benefit:** Avoids opening positions during breakout trends or extreme volatility expansion.
+
+### E. Manual Override (Force Mode)
+**Goal:** Allow operator intervention for testing or recovery.
+*   **Command:** `python clp_manager.py --force <width>` (e.g., 0.95).
+*   **Behavior:** Bypasses Oracle, BB, and MA checks for the **first** position only. Automatically disables itself after one successful mint.
+
+---
+
+## 2. CLP Hedger: Risk Management
+
+The `clp_hedger.py` module manages the Delta-Neutral hedge on Hyperliquid.
+
+### A. Emergency Edge Closure (Stop-Loss)
+**Goal:** Prevent indefinite hedging losses if the price breaks out of the LP range violently.
+*   **Trigger:** If `Price >= Range Upper Bound`.
+*   **Action:** Immediately **CLOSE** the short hedge position.
+*   **Benefit:** Stops the strategy from "selling low and buying high" (hedging) when the LP position is already out of range and effectively essentially 100% stablecoin (impermanent loss realized).
+
+### B. Hysteresis Reset
+**Goal:** Prevent "whipsaw" losses (opening/closing repeatedly) if the price hovers exactly at the edge.
+*   **Logic:** Once an Emergency Closure triggers, the hedge does **not** re-open immediately if the price dips slightly back in.
+*   **Reset Condition:** Price must drop back to a "Safe Zone" (e.g., 75% of the range width or a specific buffer below the edge).
+*   **Benefit:** Filters out noise at the range boundaries.
+
+### C. Asymmetric Compensation (EAC)
+**Goal:** Reduce the "Buy High/Sell Low" churn near the edges of the range.
+*   **Mechanism:** The target hedge delta is adjusted (reduced) as the price approaches the boundaries.
+*   **Logic:** `Target Hedge = Pool Delta * (1 - Proximity_Factor)`.
+*   **Benefit:** Softens the impact of entering/exiting the range, preserving capital.
+
+### D. Fishing Orders (Maker Rebates)
+**Goal:** Reduce execution costs.
+*   **Mechanism:** Instead of market dumping (Taker fee ~0.035%), the bot places Limit Orders (Maker) slightly away from the spread.
+*   **Logic:** If the price moves favorably, the order fills, earning a rebate (or paying 0 fee). If not filled within `TIMEOUT`, it falls back to a Taker order if the delta drift is critical.
+
+---
+
+## 3. Future Improvements (Roadmap)
+
+### A. WebSocket Integration
+*   **Current:** Polling REST API every 30-300s (or 1s for guard rails).
+*   **Upgrade:** Implement a persistent WebSocket connection to Hyperliquid and the EVM RPC.
+*   **Benefit:** Sub-100ms reaction times to volatility events.
+
+### B. Multi-Chain Arbitrage Check
+*   **Current:** Checks Hyperliquid vs Pool.
+*   **Upgrade:** Check Binance/Coinbase prices.
+*   **Benefit:** Detects on-chain lag before it happens (CEX leads DEX).
+
+### C. Dynamic Fee Optimization
+*   **Current:** Fixed `POOL_FEE`.
+*   **Upgrade:** Automatically switch between 0.05% and 0.01% pools based on volatility and volume metrics.
+
+### D. Smart Rebalance (Inventory Management)
+*   **Current:** Swaps surplus tokens using 1inch/Universal Router.
+*   **Upgrade:** Use CowSwap or CoW intents for MEV-protected rebalancing of large inventory imbalances.

florida/tests/backtest/analyze_results.py

@@ -0,0 +1,49 @@
+
+import csv
+import sys
+import os
+
+def analyze():
+    current_dir = os.path.dirname(os.path.abspath(__file__))
+    results_file = os.path.join(current_dir, "optimization_results.csv")
+    
+    if not os.path.exists(results_file):
+        print(f"File not found: {results_file}")
+        return
+
+    print(f"Analyzing {results_file}...")
+    
+    best_pnl = -float('inf')
+    best_config = None
+    
+    rows = []
+    
+    with open(results_file, 'r') as f:
+        reader = csv.DictReader(f)
+        for row in reader:
+            rows.append(row)
+            
+            pnl = float(row['TOTAL_PNL'])
+            uni_fees = float(row['UNI_FEES'])
+            hl_pnl = float(row['HL_PNL'])
+            
+            print(f"Config: Range={row['RANGE_WIDTH_PCT']}, Thresh={row['BASE_REBALANCE_THRESHOLD_PCT']} | PnL: ${pnl:.2f} (Fees: ${uni_fees:.2f}, Hedge: ${hl_pnl:.2f})")
+            
+            if pnl > best_pnl:
+                best_pnl = pnl
+                best_config = row
+
+    print("\n" + "="*40)
+    print(f"🏆 BEST CONFIGURATION")
+    print("="*40)
+    if best_config:
+        print(f"Range Width:       {float(best_config['RANGE_WIDTH_PCT'])*100:.2f}%")
+        print(f"Rebalance Thresh:  {float(best_config['BASE_REBALANCE_THRESHOLD_PCT'])*100:.0f}%")
+        print(f"Total PnL:         ${float(best_config['TOTAL_PNL']):.2f}")
+        print(f"  > Uni Fees:      ${float(best_config['UNI_FEES']):.2f}")
+        print(f"  > Hedge PnL:     ${float(best_config['HL_PNL']):.2f}")
+    else:
+        print("No valid results found.")
+
+if __name__ == "__main__":
+    analyze()

florida/tests/backtest/backtester.py

@@ -0,0 +1,312 @@
+
+import sys
+import os
+import csv
+import time
+import json
+import logging
+from decimal import Decimal
+from unittest.mock import MagicMock, patch
+
+# Add project root to path
+current_dir = os.path.dirname(os.path.abspath(__file__))
+project_root = os.path.dirname(os.path.dirname(current_dir))
+sys.path.append(project_root)
+
+from tests.backtest.mocks import MockExchangeState, MockWeb3, MockExchangeAPI, MockInfo, MockContract
+
+# Setup Logging
+logging.basicConfig(level=logging.INFO, format='%(asctime)s [%(name)s] %(message)s')
+logger = logging.getLogger("BACKTESTER")
+
+class Backtester:
+    def __init__(self, book_file, trades_file, config_overrides=None):
+        self.book_file = book_file
+        self.trades_file = trades_file
+        self.config_overrides = config_overrides or {}
+        self.events = []
+        self.state = MockExchangeState()
+        
+        # Mocks
+        self.mock_web3 = MockWeb3(self.state)
+        self.mock_hl_api = MockExchangeAPI(self.state)
+        self.mock_hl_info = MockInfo(self.state)
+        
+        # Components (Lazy loaded)
+        self.manager = None
+        self.hedger = None
+        
+    def load_data(self):
+        logger.info("Loading Market Data...")
+        # Load Book
+        with open(self.book_file, 'r') as f:
+            reader = csv.DictReader(f)
+            for row in reader:
+                self.events.append({
+                    "type": "BOOK",
+                    "ts": int(row['timestamp_ms']),
+                    "data": row
+                })
+                
+        # Load Trades
+        # (Optional: Trades are useful for market impact, but for basic PnL tracking 
+        # based on mid-price, Book is sufficient. Loading trades just to advance time)
+        with open(self.trades_file, 'r') as f:
+            reader = csv.DictReader(f)
+            for row in reader:
+                self.events.append({
+                    "type": "TRADE",
+                    "ts": int(row['timestamp_ms']),
+                    "data": row
+                })
+        
+        # Sort by Timestamp
+        self.events.sort(key=lambda x: x['ts'])
+        logger.info(f"Loaded {len(self.events)} events.")
+
+    def patch_and_init(self):
+        logger.info("Initializing Logic...")
+        
+        # --- PATCH MANAGER ---
+        # We need to patch clp_manager.Web3 to return our MockWeb3
+        # And os.environ for config
+        
+        with patch.dict(os.environ, {
+            "TARGET_DEX": "PANCAKESWAP_BNB", # Example
+            "MAIN_WALLET_PRIVATE_KEY": "0x0000000000000000000000000000000000000000000000000000000000000001",
+            "BNB_RPC_URL": "http://mock",
+            "HEDGER_PRIVATE_KEY": "0x0000000000000000000000000000000000000000000000000000000000000001",
+            "MAIN_WALLET_ADDRESS": "0xMyWallet"
+        }):
+            import clp_manager
+            import clp_hedger
+            
+            # Apply Config Overrides
+            if self.config_overrides:
+                logger.info(f"Applying Config Overrides: {self.config_overrides}")
+                for k, v in self.config_overrides.items():
+                    # Patch Manager
+                    if hasattr(clp_manager, k):
+                        setattr(clp_manager, k, v)
+                    # Patch Hedger
+                    if hasattr(clp_hedger, k):
+                        setattr(clp_hedger, k, v)
+            
+            # 1. Init Manager
+            # clp_manager.main() connects to Web3. We need to inject our mock.
+            # Since clp_manager creates w3 inside main(), we can't inject easily without patching Web3 class.
+            
+            self.manager_module = clp_manager
+            self.hedger_module = clp_hedger
+
+    def run(self):
+        self.load_data()
+        self.patch_and_init()
+        
+        # MOCK TIME
+        start_time = self.events[0]['ts'] / 1000.0
+        
+        # STATUS FILE MOCK
+        self.status_memory = [] # List[Dict]
+        
+        def mock_load_status():
+            logger.info(f"MOCK LOAD STATUS: Found {len(self.status_memory)} items")
+            return self.status_memory
+            
+        def mock_save_status(data):
+            logger.info(f"MOCK SAVE STATUS: Saving {len(data)} items")
+            self.status_memory = data
+            
+        def mock_hedger_scan():
+            return []
+            
+        # We need to globally patch time.time and the Libraries
+        web3_class_mock = MagicMock(return_value=self.mock_web3)
+        web3_class_mock.to_wei = self.mock_web3.to_wei
+        web3_class_mock.from_wei = self.mock_web3.from_wei
+        web3_class_mock.is_address = self.mock_web3.is_address
+        web3_class_mock.to_checksum_address = lambda x: x
+        
+        # Mock Web3.keccak to return correct topics
+        def mock_keccak(text=None, hexstr=None):
+            # Known Topics
+            if text == "Transfer(address,address,uint256)":
+                return bytes.fromhex("ddf252ad1be2c89b69c2b068fc378daa952ba7f163c4a11628f55a4df523b3ef")
+            if text == "IncreaseLiquidity(uint256,uint128,uint256,uint256)":
+                return bytes.fromhex("7a53080ba414158be7ec69b987b5fb7d07dee101fe85488f0853ae16239d0bde")
+            if text == "DecreaseLiquidity(uint256,uint128,uint256,uint256)":
+                 # 0x26f6a048ee9138f2c0ce266f322cb99228e8d619ae2bff30c67f8dcf9d2377b4
+                 return bytes.fromhex("26f6a048ee9138f2c0ce266f322cb99228e8d619ae2bff30c67f8dcf9d2377b4")
+            if text == "Collect(uint256,address,uint256,uint256)":
+                 # 0x70935338e69775456a85ddef226c395fb668b63fa0115f5f206227278f746d4d
+                 return bytes.fromhex("70935338e69775456a85ddef226c395fb668b63fa0115f5f206227278f746d4d")
+            
+            return b'\x00'*32
+            
+        web3_class_mock.keccak = MagicMock(side_effect=mock_keccak)
+
+        # Ensure environment is patched during the whole run
+        env_patch = {
+            "TARGET_DEX": "PANCAKESWAP_BNB",
+            "MAIN_WALLET_PRIVATE_KEY": "0x0000000000000000000000000000000000000000000000000000000000000001",
+            "BNB_RPC_URL": "http://mock",
+            "HEDGER_PRIVATE_KEY": "0x0000000000000000000000000000000000000000000000000000000000000001",
+            "MAIN_WALLET_ADDRESS": "0xMyWallet"
+        }
+
+        with patch.dict(os.environ, env_patch), \
+             patch('time.time', side_effect=lambda: self.state.current_time_ms / 1000.0), \
+             patch('clp_manager.Web3', web3_class_mock), \
+             patch('clp_hedger.Account.from_key', return_value=MagicMock(address="0xMyWallet")), \
+             patch('clp_hedger.Exchange', return_value=self.mock_hl_api), \
+             patch('clp_hedger.Info', return_value=self.mock_hl_info), \
+             patch('clp_manager.load_status_data', side_effect=mock_load_status), \
+             patch('clp_manager.save_status_data', side_effect=mock_save_status), \
+             patch('clp_manager.clean_address', side_effect=lambda x: x), \
+             patch('clp_hedger.glob.glob', return_value=[]):
+             
+            # Initialize Hedger (It creates the classes in __init__)
+            self.hedger = self.hedger_module.UnifiedHedger()
+            
+            # Initialize Manager Components manually (simulate main setup)
+            w3 = self.mock_web3
+            account = MagicMock(address="0xMyWallet")
+            npm = w3.eth.contract("0xNPM", [])
+            factory = w3.eth.contract("0xFactory", [])
+            router = w3.eth.contract("0xRouter", [])
+            
+            # --- SIMULATION LOOP ---
+            last_manager_tick = 0
+            manager_interval = 60 * 1000
+            
+            trade_count = len([e for e in self.events if e['type'] == "TRADE"])
+            book_count = len([e for e in self.events if e['type'] == "BOOK"])
+            logger.info(f"SIMULATION START: {len(self.events)} total events ({book_count} BOOK, {trade_count} TRADE)")
+
+            for event in self.events:
+                self.state.current_time_ms = event['ts']
+                
+                # Update Market
+                if event['type'] == "BOOK":
+                    row = event['data']
+                    mid = Decimal(row['mid_price'])
+                    self.state.update_price("BNB", mid)
+                    
+                if event['type'] == "TRADE":
+                    self.state.process_trade(event['data'])
+
+                # Run Logic
+                
+                # 1. Manager (Every X seconds)
+                if self.state.current_time_ms - last_manager_tick > manager_interval:
+                    self.manager_module.run_tick(w3, account, npm, factory, router)
+                    last_manager_tick = self.state.current_time_ms
+                    
+                    # SYNC MANAGER STATUS TO HEDGER
+                    for pos in self.status_memory:
+                        if pos.get('status') == 'OPEN' and pos.get('type') == 'AUTOMATIC':
+                            key = ("MOCK", pos['token_id'])
+                            if key not in self.hedger.strategies:
+                                self.hedger._init_single_strategy(key, pos, "BNB")
+                            else:
+                                self.hedger.strategy_states[key]['status'] = pos.get('status', 'OPEN')
+                        elif pos.get('status') == 'CLOSED':
+                             key = ("MOCK", pos['token_id'])
+                             if key in self.hedger.strategies:
+                                 self.hedger.strategy_states[key]['status'] = 'CLOSED'
+
+                    
+                # 2. Hedger (Every Tick/Event)
+                self.hedger.run_tick()
+                
+            # Finalize: Collect accrued fees from open positions
+            logger.info(f"Finalizing... Checking {len(self.state.uni_positions)} open positions.")
+            for token_id, pos in self.state.uni_positions.items():
+                raw_owed0 = pos.get('tokensOwed0', 0)
+                logger.info(f"DEBUG: Position {token_id} Raw TokensOwed0: {raw_owed0}")
+                
+                owed0 = Decimal(raw_owed0) / Decimal(10**18)
+                owed1 = Decimal(pos.get('tokensOwed1', 0)) / Decimal(10**18)
+                
+                # Convert to USD
+                price = self.state.prices.get("BNB", Decimal("0"))
+                # Fee0 is USDT (USD), Fee1 is WBNB
+                usd_val = owed0 + (owed1 * price)
+                
+                if usd_val > 0:
+                    self.state.uni_fees_collected += usd_val
+                    logger.info(f"Finalizing Open Position {token_id}: Accrued Fees ${usd_val:.2f}")
+
+            logger.info("Backtest Complete.")
+            logger.info(f"Final Uni Fees: {self.state.uni_fees_collected}")
+            logger.info(f"Final HL PnL: {self.state.hl_realized_pnl - self.state.hl_fees_paid}")
+
+    def calculate_final_nav(self):
+        """Calculates total Net Asset Value (USD) at the end of simulation."""
+        total_usd = Decimal("0")
+        
+        # 1. Wallet Balances
+        # We assume T0=USDT, T1=WBNB for this profile
+        price = self.state.prices.get("BNB", Decimal("0"))
+        
+        for sym, bal in self.state.wallet_balances.items():
+            if sym in ["USDC", "USDT"]:
+                total_usd += bal
+            elif sym in ["BNB", "WBNB", "NATIVE"]:
+                total_usd += bal * price
+            elif sym in ["ETH", "WETH"]:
+                # If ETH price available? We mocked update_price("BNB") only.
+                # Assuming ETH price static or 0 if not tracked
+                eth_price = self.state.prices.get("ETH", Decimal("0"))
+                total_usd += bal * eth_price
+                
+        # 2. Uniswap Positions (Liquidity Value)
+        # Value = Amount0 * Price0 + Amount1 * Price1
+        # We need to calculate amounts from liquidity & current price
+        import math
+        # Helper to get amounts from liquidity
+        def get_amounts(liquidity, sqrt_price_x96, tick_lower, tick_upper):
+            # Simplified: Use the amounts we stored at mint time? 
+            # No, that's initial. We need current value.
+            # But calculating precise amounts from liquidity/sqrtPrice requires complex math.
+            # For approximation, we can look at what the manager logged as "Deposited" 
+            # if price hasn't moved much, or implement full liquidity math.
+            
+            # Since implementing full math here is complex, let's use a simplified approach:
+            # If we are in range, we have a mix.
+            # If out of range, we have 100% of one token.
+            
+            # Better: The Mock 'mint' stored initial amounts.
+            # We can adjust by price ratio? No, IL is non-linear.
+            
+            # Let's use the 'decrease_liquidity' logic mock if available?
+            # Or just assume Liquidity Value = Initial Value + PnL (Fees) - IL.
+            
+            # For this MVP, let's just count the Fees collected (Realized) + Initial Capital (Wallet).
+            # BUT we spent wallet funds to open LP.
+            # So Wallet is LOW. LP has Value.
+            
+            # We MUST value the LP.
+            # Let's approximate: 
+            # Value = Liquidity / (something) ...
+            # Actually, `clp_manager.py` calculates `actual_value` on entry.
+            # We can track `entry_value` in the position state.
+            return Decimal("0") # Placeholder if we can't calc easily
+
+        # 3. Hyperliquid Positions (Unrealized PnL + Margin)
+        hl_equity = self.state.hl_balances.get("USDC", 0) # Margin
+        for sym, pos in self.state.hl_positions.items():
+            hl_equity += pos['unrealized_pnl']
+            
+        total_usd += hl_equity
+        
+        return total_usd
+
+if __name__ == "__main__":
+    # Example usage:
+    # python tests/backtest/backtester.py market_data/BNB_raw_20251230_book.csv market_data/BNB_raw_20251230_trades.csv
+    if len(sys.argv) < 3:
+        print("Usage: python backtester.py <book_csv> <trades_csv>")
+    else:
+        bt = Backtester(sys.argv[1], sys.argv[2])
+        bt.run()

florida/tests/backtest/grid_search.py

@@ -0,0 +1,82 @@
+
+import sys
+import os
+import csv
+import itertools
+from decimal import Decimal
+
+# Add project root to path
+current_dir = os.path.dirname(os.path.abspath(__file__))
+project_root = os.path.dirname(os.path.dirname(current_dir))
+sys.path.append(project_root)
+
+from tests.backtest.backtester import Backtester
+
+def main():
+    # Grid Parameters
+    # We want to optimize:
+    # 1. RANGE_WIDTH_PCT: How wide is the LP position? (e.g. 0.01 = +/-1%, 0.05 = +/-5%)
+    # 2. BASE_REBALANCE_THRESHOLD_PCT: When do we hedge? (e.g. 0.10 = 10% delta drift, 0.20 = 20%)
+    
+    param_grid = {
+        "RANGE_WIDTH_PCT": [0.005, 0.01, 0.025, 0.05],
+        "BASE_REBALANCE_THRESHOLD_PCT": [0.01, 0.05]
+    }
+    
+    keys, values = zip(*param_grid.items())
+    combinations = [dict(zip(keys, v)) for v in itertools.product(*values)]
+    
+    results = []
+    
+    book_file = os.path.join(project_root, "market_data", "BNB_raw_20251230_book.csv")
+    trades_file = os.path.join(project_root, "market_data", "BNB_raw_20251230_trades.csv")
+    
+    print(f"Starting Grid Search with {len(combinations)} combinations...")
+    
+    for idx, config in enumerate(combinations):
+        print(f"\n--- Run {idx+1}/{len(combinations)}: {config} ---")
+        
+        # Initialize Backtester with overrides
+        bt = Backtester(book_file, trades_file, config_overrides=config)
+        
+        try:
+            bt.run()
+            
+            # Collect Metrics
+            uni_fees = bt.state.uni_fees_collected
+            hl_realized = bt.state.hl_realized_pnl - bt.state.hl_fees_paid
+            
+            # HL Unrealized
+            hl_unrealized = sum(p['unrealized_pnl'] for p in bt.state.hl_positions.values())
+            
+            # Total PnL (Yield + Hedge Result) - Ignoring IL for now (Mock limitation)
+            total_pnl = uni_fees + hl_realized + hl_unrealized
+            
+            result = {
+                **config,
+                "UNI_FEES": float(uni_fees),
+                "HL_REALIZED": float(hl_realized),
+                "HL_UNREALIZED": float(hl_unrealized),
+                "TOTAL_PNL": float(total_pnl)
+            }
+            results.append(result)
+            print(f"Result: {result}")
+            
+        except Exception as e:
+            print(f"Run failed: {e}")
+            import traceback
+            traceback.print_exc()
+
+    # Save Results
+    out_file = os.path.join(current_dir, "optimization_results.csv")
+    keys = list(combinations[0].keys()) + ["UNI_FEES", "HL_REALIZED", "HL_UNREALIZED", "TOTAL_PNL"]
+    
+    with open(out_file, 'w', newline='') as f:
+        writer = csv.DictWriter(f, fieldnames=keys)
+        writer.writeheader()
+        writer.writerows(results)
+        
+    print(f"\nGrid Search Complete. Results saved to {out_file}")
+
+if __name__ == "__main__":
+    main()

florida/tests/backtest/mocks.py

@@ -0,0 +1,607 @@
+
+import time
+import logging
+from decimal import Decimal
+from typing import Dict, List, Any, Optional
+from hexbytes import HexBytes
+
+logger = logging.getLogger("BACKTEST_MOCK")
+
+class MockExchangeState:
+    """
+    Central source of truth for the simulation.
+    Acts as the "Blockchain" and the "CEX Engine".
+    """
+    def __init__(self):
+        self.current_time_ms = 0
+        self.prices = {} # symbol -> price (Decimal)
+        self.ticks = {} # symbol -> current tick (int)
+        
+        # Balances
+        self.wallet_balances = {
+            "NATIVE": Decimal("100.0"), # ETH or BNB
+            "ETH": Decimal("100.0"), 
+            "USDC": Decimal("100000.0"), 
+            "WETH": Decimal("100.0"),
+            "BNB": Decimal("100.0"),
+            "WBNB": Decimal("100.0"),
+            "USDT": Decimal("100000.0")
+        }
+        self.hl_balances = {"USDC": Decimal("10000.0"), "USDT": Decimal("10000.0")}
+        self.hl_positions = {} # symbol -> {size, entry_px, unrealized_pnl}
+        
+        # Uniswap Positions
+        self.next_token_id = 1000
+        self.uni_positions = {} # token_id -> {liquidity, tickLower, tickUpper, ...}
+        
+        # Hyperliquid Orders
+        self.hl_orders = [] # List of {oid, coin, side, limitPx, sz, timestamp}
+        self.next_oid = 1
+        
+        # Fees/PnL Tracking
+        self.uni_fees_collected = Decimal("0.0")
+        self.hl_fees_paid = Decimal("0.0")
+        self.hl_realized_pnl = Decimal("0.0")
+        
+        # Pending TXs (Simulating Mempool/Execution)
+        self.pending_txs = []
+
+    def update_price(self, symbol: str, price: Decimal, tick: int = 0):
+        self.prices[symbol] = price
+        if tick:
+            self.ticks[symbol] = tick
+            
+        # Update PnL for open positions
+        if symbol in self.hl_positions:
+            pos = self.hl_positions[symbol]
+            size = pos['size']
+            if size != 0:
+                # Long: (Price - Entry) * Size
+                # Short: (Entry - Price) * abs(Size)
+                if size > 0:
+                    pos['unrealized_pnl'] = (price - pos['entry_px']) * size
+                else:
+                    pos['unrealized_pnl'] = (pos['entry_px'] - price) * abs(size)
+
+    def process_trade(self, trade_data):
+        """Simulate fee accumulation from market trades."""
+        # trade_data: {price, size, ...} from CSV
+        try:
+            # DEBUG: Confirm entry
+            if getattr(self, '_debug_trade_entry', False) is False:
+                 logger.info(f"DEBUG: Processing Trades... Positions: {len(self.uni_positions)}")
+                 self._debug_trade_entry = True
+
+            price = Decimal(trade_data['price'])
+            size = Decimal(trade_data['size']) # Amount in Base Token (BNB)
+            
+            # Simple Fee Logic:
+            # If trade price is within a position's range, it earns fees.
+            # Fee = Volume * 0.05% (Fee Tier) * MarketShare (Assume 10%)
+            
+            fee_tier = Decimal("0.0005") # 0.05%
+            
+            # Realistic Market Share Simulation
+            # Assume Pool Depth in active ticks is $5,000,000
+            # Our Position is approx $1,000
+            # Share = 1,000 / 5,000,000 = 0.0002 (0.02%)
+            market_share = Decimal("0.0002")
+            
+            import math
+            # Current Tick of the trade
+            try:
+                # price = 1.0001^tick -> tick = log(price) / log(1.0001)
+                # Note: If T0=USDT, Price T0/T1 = 1/Price_USD.
+                # But our TickLower/Upper in Mock are generated based on T0=USDT logic?
+                # clp_manager calculates ticks based on price_from_tick logic.
+                
+                # If T0=USDT, T1=WBNB. Price (T0/T1) ~ 0.00116.
+                # Ticks will be negative.
+                # Trade Price is 860.
+                # We need to invert price to get tick if the pool is inverted.
+                # For BNB tests, we know T0=USDT.
+                
+                # Invert price for tick calc
+                inv_price = Decimal("1") / price
+                tick = int(math.log(float(inv_price)) / math.log(1.0001))
+            except:
+                tick = 0
+            
+            # Iterate all OPEN Uniswap positions
+            for token_id, pos in self.uni_positions.items():
+                # Check Range
+                if pos['tickLower'] <= tick <= pos['tickUpper']:
+                    vol_usd = price * size
+                    fee_earned = vol_usd * fee_tier * market_share
+                    pos['tokensOwed0'] = pos.get('tokensOwed0', 0) + int(fee_earned * 10**18) 
+                    
+                    # Debug logging (Disabled for production runs)
+                    # if getattr(self, '_debug_fee_log_count', 0) < 10:
+                    #    logger.info(f"DEBUG: Fee Earned! Tick {tick} inside {pos['tickLower']} <-> {pos['tickUpper']}. Fee: {fee_earned}")
+                    #    self._debug_fee_log_count = getattr(self, '_debug_fee_log_count', 0) + 1
+                        
+                else:
+                    # Debug logging (Disabled)
+                    # if getattr(self, '_debug_tick_log_count', 0) < 10:
+                    #    logger.info(f"DEBUG: Trade Tick {tick} OUTSIDE {pos['tickLower']} <-> {pos['tickUpper']} (Price: {price})")
+                    #    self._debug_tick_log_count = getattr(self, '_debug_tick_log_count', 0) + 1
+                    pass
+                    
+        except Exception as e:
+            logger.error(f"Error processing trade: {e}")
+
+    def process_transaction(self, tx_data):
+        """Executes a pending transaction and updates state."""
+        func = tx_data['func']
+        args = tx_data['args']
+        value = tx_data.get('value', 0)
+        contract_addr = tx_data['contract']
+        
+        logger.info(f"PROCESSING TX: {func} on {contract_addr} Val: {value}")
+        
+        # 1. DEPOSIT (Wrap)
+        if func == "deposit":
+            # Wrap Native -> Wrapped
+            # Assume contract_addr is the wrapped token
+            # In mocks, we map address to symbol
+            # But we don't have the instance here easily, so we guess.
+            # If value > 0, it's a wrap.
+            amount = Decimal(value) / Decimal(10**18)
+            if self.wallet_balances.get("NATIVE", 0) >= amount:
+                self.wallet_balances["NATIVE"] -= amount
+                # Find which token this is. 
+                # If it's the WETH/WBNB address
+                target_token = "WBNB" # Default assumption for this test profile
+                if contract_addr == "0x82aF49447D8a07e3bd95BD0d56f35241523fBab1": target_token = "WETH"
+                
+                self.wallet_balances[target_token] = self.wallet_balances.get(target_token, 0) + amount
+                logger.info(f"Wrapped {amount} NATIVE to {target_token}")
+            else:
+                logger.error("Insufficient NATIVE balance for wrap")
+
+        # 2. MINT (New Position)
+        elif func == "mint":
+            # Params: (token0, token1, fee, tickLower, tickUpper, amount0Desired, amount1Desired, ...)
+            params = args[0]
+            token0 = params[0]
+            token1 = params[1]
+            amount0 = Decimal(params[5]) / Decimal(10**18) # Approx decimals
+            amount1 = Decimal(params[6]) / Decimal(10**18)
+            
+            logger.info(f"Minting Position: {amount0} T0, {amount1} T1")
+            
+            # Deduct Balances (Simplified: assuming we have enough)
+            # In real mock we should check symbols
+            self.wallet_balances["WBNB"] = max(0, self.wallet_balances.get("WBNB", 0) - amount0)
+            self.wallet_balances["USDT"] = max(0, self.wallet_balances.get("USDT", 0) - amount1)
+            
+            # Create Position
+            token_id = self.next_token_id
+            self.next_token_id += 1
+            
+            self.uni_positions[token_id] = {
+                "token0": token0,
+                "token1": token1,
+                "tickLower": params[3],
+                "tickUpper": params[4],
+                "liquidity": 1000000 # Dummy liquidity
+            }
+            logger.info(f"Minted TokenID: {token_id}")
+            self.last_minted_token_id = token_id
+            return token_id # Helper return
+
+        # 3. COLLECT (Fees)
+        elif func == "collect":
+            # Params: (params) -> (tokenId, recipient, amount0Max, amount1Max)
+            params = args[0]
+            token_id = params[0]
+            
+            # Retrieve accumulated fees
+            if token_id in self.uni_positions:
+                pos = self.uni_positions[token_id]
+                owed1 = Decimal(pos.get('tokensOwed1', 0)) / Decimal(10**18)
+                owed0 = Decimal(pos.get('tokensOwed0', 0)) / Decimal(10**18)
+                
+                # Reset
+                pos['tokensOwed1'] = 0
+                pos['tokensOwed0'] = 0
+                
+                fee0 = owed0
+                fee1 = owed1
+            else:
+                fee0 = Decimal("0")
+                fee1 = Decimal("0")
+            
+            self.wallet_balances["WBNB"] = self.wallet_balances.get("WBNB", 0) + fee0
+            self.wallet_balances["USDT"] = self.wallet_balances.get("USDT", 0) + fee1
+            
+            # Calculate USD Value of fees
+            # T0 = USDT, T1 = WBNB
+            # fee0 is USDT, fee1 is WBNB
+            price = self.state.prices.get("BNB", Decimal("0"))
+            usd_val = fee0 + (fee1 * price)
+            
+            self.uni_fees_collected += usd_val
+            logger.info(f"Collected Fees for {token_id}: {fee0:.4f} T0 + {fee1:.4f} T1 = ${usd_val:.2f}")
+
+        # 4. SWAP (ExactInputSingle)
+        elif func == "exactInputSingle":
+            # Params: (params) -> struct
+            # struct ExactInputSingleParams {
+            #   address tokenIn; address tokenOut; fee; recipient; deadline; amountIn; amountOutMinimum; sqrtPriceLimitX96;
+            # }
+            # Since args[0] is the struct (tuple/list)
+            # We need to guess indices or check ABI.
+            # Standard: tokenIn(0), tokenOut(1), fee(2), recipient(3), deadline(4), amountIn(5), minOut(6)
+            params = args[0]
+            token_in_addr = params[0]
+            token_out_addr = params[1]
+            amount_in_wei = params[5]
+            
+            # Map address to symbol
+            # We can't access contract instance here easily, so use known map or iterate
+            sym_map = {
+                "0x82aF49447D8a07e3bd95BD0d56f35241523fBab1": "WETH",
+                "0xaf88d065e77c8cC2239327C5EDb3A432268e5831": "USDC",
+                "0xbb4CdB9CBd36B01bD1cBaEBF2De08d9173bc095c": "WBNB",
+                "0x55d398326f99059fF775485246999027B3197955": "USDT"
+            }
+            
+            sym_in = sym_map.get(token_in_addr, "UNKNOWN")
+            sym_out = sym_map.get(token_out_addr, "UNKNOWN")
+            
+            amount_in = Decimal(amount_in_wei) / Decimal(10**18) # Approx
+            if sym_in in ["USDC", "USDT"]: amount_in = Decimal(amount_in_wei) / Decimal(10**18) # Mock usually 18 dec for simplicity unless specified
+            
+            # Price calculation
+            # If swapping Base (WBNB) -> Quote (USDT), Price is ~300
+            # If Quote -> Base, Price is 1/300
+            price = self.prices.get("BNB", Decimal("300"))
+            
+            amount_out = 0
+            if sym_in == "WBNB" and sym_out == "USDT":
+                amount_out = amount_in * price
+            elif sym_in == "USDT" and sym_out == "WBNB":
+                amount_out = amount_in / price
+            else:
+                amount_out = amount_in # 1:1 fallback
+                
+            self.wallet_balances[sym_in] = max(0, self.wallet_balances.get(sym_in, 0) - amount_in)
+            self.wallet_balances[sym_out] = self.wallet_balances.get(sym_out, 0) + amount_out
+            
+            logger.info(f"SWAP: {amount_in:.4f} {sym_in} -> {amount_out:.4f} {sym_out}")
+
+    def match_orders(self):
+        """Simple order matching against current price."""
+        # In a real backtest, we'd check High/Low of the candle or Orderbook depth.
+        # Here we assume perfect liquidity at current price for simplicity, 
+        # or implement simple slippage.
+        pass
+
+# --- WEB3 MOCKS ---
+
+class MockContractFunction:
+    def __init__(self, name, parent_contract, state: MockExchangeState):
+        self.name = name
+        self.contract = parent_contract
+        self.state = state
+        self.args = []
+
+    def __call__(self, *args, **kwargs):
+        self.args = args
+        return self
+
+    def call(self, transaction=None):
+        # SIMULATE READS
+        if self.name == "slot0":
+            # Determine Pair
+            symbol = "BNB" if "BNB" in self.state.prices else "ETH"
+            price = self.state.prices.get(symbol, Decimal("300")) 
+            
+            # For BNB Chain, T0 is USDT (0x55d), T1 is WBNB (0xbb4)
+            # Price of T0 (USDT) in T1 (WBNB) is 1 / Price
+            if symbol == "BNB":
+                if price > 0:
+                    price = Decimal("1") / price
+                else:
+                    price = Decimal("0")
+
+            sqrt_px = price.sqrt() * (2**96)
+            
+            # Tick
+            import math
+            try:
+                # price = 1.0001^tick
+                tick = int(math.log(float(price)) / math.log(1.0001))
+            except:
+                tick = 0
+                
+            return (int(sqrt_px), tick, 0, 0, 0, 0, True)
+            
+        if self.name == "positions":
+            token_id = self.args[0]
+            if token_id in self.state.uni_positions:
+                p = self.state.uni_positions[token_id]
+                return (0, "", p['token0'], p['token1'], 500, p['tickLower'], p['tickUpper'], p['liquidity'], 
+                        0, 0, p.get('tokensOwed0', 0), p.get('tokensOwed1', 0))
+            else:
+                raise Exception("Position not found")
+                
+        if self.name == "balanceOf":
+            addr = self.args[0]
+            # Hacky: detect token by contract address
+            symbol = self.contract.symbol_map.get(self.contract.address, "UNKNOWN")
+            return int(self.state.wallet_balances.get(symbol, 0) * (10**self.contract.decimals_val))
+
+        if self.name == "decimals":
+            return self.contract.decimals_val
+            
+        if self.name == "symbol":
+            return self.contract.symbol_val
+            
+        if self.name == "allowance":
+            return 10**50 # Infinite allowance
+
+        # Pool Methods
+        if self.name == "tickSpacing":
+            return 10
+        if self.name == "token0":
+            # Return USDT for BNB profile (0x55d < 0xbb4)
+            if "BNB" in self.state.prices:
+                return "0x55d398326f99059fF775485246999027B3197955"
+            return "0x82aF49447D8a07e3bd95BD0d56f35241523fBab1" # WETH
+            
+        if self.name == "token1":
+             # Return WBNB for BNB profile
+            if "BNB" in self.state.prices:
+                return "0xbb4CdB9CBd36B01bD1cBaEBF2De08d9173bc095c"
+            return "0xaf88d065e77c8cC2239327C5EDb3A432268e5831" # USDC
+            
+        if self.name == "fee":
+            return 500
+        if self.name == "liquidity":
+            return 1000000000000000000
+
+        return None
+
+    def build_transaction(self, tx_params):
+        # Queue Transaction for Execution
+        self.state.pending_txs.append({
+            "func": self.name,
+            "args": self.args,
+            "contract": self.contract.address,
+            "value": tx_params.get("value", 0)
+        })
+        
+        return {"data": "0xMOCK", "to": self.contract.address, "value": tx_params.get("value", 0)}
+        
+    def estimate_gas(self, tx_params):
+        return 100000
+
+class MockContract:
+    def __init__(self, address, abi, state: MockExchangeState):
+        self.address = address
+        self.abi = abi
+        self.state = state
+        self.functions = self
+        
+        # Meta for simulation
+        self.symbol_map = {
+            "0x82aF49447D8a07e3bd95BD0d56f35241523fBab1": "WETH",
+            "0xaf88d065e77c8cC2239327C5EDb3A432268e5831": "USDC",
+            # BNB Chain
+            "0xbb4CdB9CBd36B01bD1cBaEBF2De08d9173bc095c": "WBNB", # FIXED: Was BNB, but address is WBNB
+            "0x55d398326f99059fF775485246999027B3197955": "USDT"
+        }
+        symbol = self.symbol_map.get(address, "MOCK")
+        is_stable = symbol in ["USDC", "USDT"]
+        self.decimals_val = 18 if not is_stable else 6
+        if symbol == "USDT": self.decimals_val = 18 # BNB USDT is 18
+        self.symbol_val = symbol
+
+    def __getattr__(self, name):
+        return MockContractFunction(name, self, self.state)
+
+class MockEth:
+    def __init__(self, state: MockExchangeState):
+        self.state = state
+        self.chain_id = 42161
+        self.max_priority_fee = 100000000
+
+    def contract(self, address, abi):
+        return MockContract(address, abi, self.state)
+        
+    def get_block(self, block_identifier):
+        return {'baseFeePerGas': 100000000, 'timestamp': self.state.current_time_ms // 1000}
+
+    def get_balance(self, address):
+        # Native balance
+        return int(self.state.wallet_balances.get("NATIVE", 0) * 10**18)
+        
+    def get_transaction_count(self, account, block_identifier=None):
+        return 1
+        
+    def send_raw_transaction(self, raw_tx):
+        # EXECUTE PENDING TX
+        if self.state.pending_txs:
+            tx_data = self.state.pending_txs.pop(0)
+            res = self.state.process_transaction(tx_data)
+        
+        return b'\x00' * 32
+        
+    def wait_for_transaction_receipt(self, tx_hash, timeout=120):
+        # MOCK LOGS GENERATION
+        # We assume every tx is a successful Mint for now to test the flow
+        # In a real engine we'd inspect the tx data to determine the event
+        
+        # Transfer Topic: 0xddf252ad1be2c89b69c2b068fc378daa952ba7f163c4a11628f55a4df523b3ef
+        transfer_topic = "0xddf252ad1be2c89b69c2b068fc378daa952ba7f163c4a11628f55a4df523b3ef"
+        # IncreaseLiquidity Topic: 0x7a53080ba414158be7ec69b987b5fb7d07dee101fe85488f0853ae16239d0bde
+        increase_topic = "0x7a53080ba414158be7ec69b987b5fb7d07dee101fe85488f0853ae16239d0bde"
+        
+        # Use the actual minted ID if available, else dummy
+        real_token_id = getattr(self.state, 'last_minted_token_id', 123456)
+        token_id_hex = hex(real_token_id)[2:].zfill(64)
+        
+        # Liquidity + Amount0 + Amount1
+        # 1000 Liquidity, 1 ETH (18 dec), 3000 USDC (6 dec)
+        # 1 ETH = 1e18, 3000 USDC = 3e9
+        data_liq = "00000000000000000000000000000000000000000000000000000000000003e8" # 1000
+        data_amt0 = "0000000000000000000000000000000000000000000000000de0b6b3a7640000" # 1e18
+        data_amt1 = "00000000000000000000000000000000000000000000000000000000b2d05e00" # 3e9
+        
+        class Receipt:
+            status = 1
+            blockNumber = 12345
+            logs = [
+                {
+                    'topics': [
+                        HexBytes(transfer_topic),
+                        HexBytes("0x0000000000000000000000000000000000000000000000000000000000000000"), # From
+                        HexBytes("0x0000000000000000000000000000000000000000000000000000000000000000"), # To
+                        HexBytes("0x" + token_id_hex) # TokenID
+                    ],
+                    'data': b''
+                },
+                {
+                    'topics': [
+                        HexBytes(increase_topic)
+                    ],
+                    'data': bytes.fromhex(data_liq + data_amt0 + data_amt1)
+                }
+            ]
+            
+        return Receipt()
+
+class MockWeb3:
+    def __init__(self, state: MockExchangeState):
+        self.eth = MockEth(state)
+        self.middleware_onion = type('obj', (object,), {'inject': lambda *args, **kwargs: None})
+        
+    def is_connected(self):
+        return True
+    def to_checksum_address(self, addr):
+        return addr
+    def is_address(self, addr):
+        return True
+    
+    @staticmethod
+    def to_wei(val, unit):
+        if unit == 'gwei': return int(val * 10**9)
+        if unit == 'ether': return int(val * 10**18)
+        return int(val)
+
+    @staticmethod
+    def from_wei(val, unit):
+        if unit == 'gwei': return Decimal(val) / Decimal(10**9)
+        if unit == 'ether': return Decimal(val) / Decimal(10**18)
+        return Decimal(val)
+
+    @staticmethod
+    def keccak(text=None):
+        return b'\x00'*32 # Dummy
+
+# --- HYPERLIQUID MOCKS ---
+
+class MockInfo:
+    def __init__(self, state: MockExchangeState):
+        self.state = state
+        
+    def all_mids(self):
+        # Return string prices as per API
+        return {k: str(v) for k, v in self.state.prices.items()}
+        
+    def user_state(self, address):
+        positions = []
+        for sym, pos in self.state.hl_positions.items():
+            positions.append({
+                "position": {
+                    "coin": sym,
+                    "szi": str(pos['size']),
+                    "entryPx": str(pos['entry_px']),
+                    "unrealizedPnl": str(pos['unrealized_pnl'])
+                }
+            })
+            
+        return {
+            "marginSummary": {
+                "accountValue": str(self.state.hl_balances.get("USDC", 0)),
+                "totalMarginUsed": "0",
+                "totalNtlPos": "0",
+                "totalRawUsd": "0"
+            },
+            "assetPositions": positions
+        }
+
+    def open_orders(self, address):
+        return self.state.hl_orders
+
+    def user_fills(self, address):
+        return [] # TODO: Store fills in state
+
+    def l2_snapshot(self, coin):
+        # Generate artificial orderbook around mid price
+        price = self.state.prices.get(coin, Decimal("0"))
+        if price == 0: return {'levels': [[], []]}
+        
+        # Spread 0.05%
+        bid = price * Decimal("0.99975")
+        ask = price * Decimal("1.00025")
+        
+        return {
+            "levels": [
+                [{"px": str(bid), "sz": "100.0", "n": 1}], # Bids
+                [{"px": str(ask), "sz": "100.0", "n": 1}]  # Asks
+            ]
+        }
+
+
+class MockExchangeAPI:
+    def __init__(self, state: MockExchangeState):
+        self.state = state
+        
+    def order(self, coin, is_buy, sz, limit_px, order_type, reduce_only=False):
+        # Execute immediately for IO/Market, or add to book
+        # Simulating Fill
+        price = Decimal(str(limit_px))
+        size = Decimal(str(sz))
+        cost = price * size
+        
+        # Fee (Taker 0.035%)
+        fee = cost * Decimal("0.00035")
+        self.state.hl_fees_paid += fee
+        
+        # Update Position
+        if coin not in self.state.hl_positions:
+            self.state.hl_positions[coin] = {'size': Decimal(0), 'entry_px': Decimal(0), 'unrealized_pnl': Decimal(0)}
+            
+        pos = self.state.hl_positions[coin]
+        current_size = pos['size']
+        
+        # Update Entry Price (Weighted Average)
+        # New Entry = (OldSize * OldEntry + NewSize * NewPrice) / (OldSize + NewSize)
+        signed_size = size if is_buy else -size
+        new_size = current_size + signed_size
+        
+        if new_size == 0:
+            pos['entry_px'] = 0
+        elif (current_size > 0 and signed_size > 0) or (current_size < 0 and signed_size < 0):
+             # Increasing position
+             val_old = abs(current_size) * pos['entry_px']
+             val_new = size * price
+             pos['entry_px'] = (val_old + val_new) / abs(new_size)
+        else:
+            # Closing/Reducing - Entry Price doesn't change, PnL is realized
+            # Fraction closed
+            closed_ratio = min(abs(signed_size), abs(current_size)) / abs(current_size)
+            # This logic is simplified, real PnL logic is complex
+            
+        pos['size'] = new_size
+        
+        logger.info(f"MOCK HL EXEC: {coin} {'BUY' if is_buy else 'SELL'} {size} @ {price}. New Size: {new_size}")
+        
+        return {"status": "ok", "response": {"data": {"statuses": [{"filled": {"oid": 123}}]}}}
+
+    def cancel(self, coin, oid):
+        self.state.hl_orders = [o for o in self.state.hl_orders if o['oid'] != oid]
+        return {"status": "ok"}

florida/tests/backtest/run_backtest.py

@@ -0,0 +1,25 @@
+
+import os
+import sys
+
+# Add project root to path
+current_dir = os.path.dirname(os.path.abspath(__file__))
+project_root = os.path.dirname(os.path.dirname(current_dir))
+sys.path.append(project_root)
+
+from tests.backtest.backtester import Backtester
+
+def main():
+    book_file = os.path.join(project_root, "market_data", "BNB_raw_20251230_book.csv")
+    trades_file = os.path.join(project_root, "market_data", "BNB_raw_20251230_trades.csv")
+    
+    if not os.path.exists(book_file):
+        print(f"Error: Data file not found: {book_file}")
+        return
+
+    print(f"Starting Backtest on {book_file}...")
+    bt = Backtester(book_file, trades_file)
+    bt.run()
+
+if __name__ == "__main__":
+    main()

florida/tools/analyze_pool_data.py

@@ -0,0 +1,107 @@
+import os
+import json
+import pandas as pd
+import math
+from decimal import Decimal
+from datetime import datetime, timedelta
+
+# --- SETTINGS ---
+HISTORY_FILE = os.path.join("market_data", "pool_history.csv")
+INVESTMENT_USD = 10000
+RANGE_WIDTH_PCT = 0.10  # +/- 10%
+REBALANCE_COST_PCT = 0.001 # 0.1% fee for rebalancing (swaps + gas)
+
+def tick_to_price(tick):
+    return 1.0001 ** tick
+
+def get_delta_from_pct(pct):
+    # tick_delta = log(1+pct) / log(1.0001)
+    return int(math.log(1 + pct) / math.log(1.0001))
+
+def analyze():
+    if not os.path.exists(HISTORY_FILE):
+        print("No history file found. Run pool_scanner.py first.")
+        return
+
+    df = pd.read_csv(HISTORY_FILE)
+    df['timestamp'] = pd.to_datetime(df['timestamp'])
+    
+    pools = df['pool_name'].unique()
+    
+    results = []
+
+    for pool in pools:
+        pdf = df[df['pool_name'] == pool].sort_values('timestamp').copy()
+        if len(pdf) < 2: continue
+
+        # Initial Setup
+        start_row = pdf.iloc[0]
+        curr_tick = start_row['tick']
+        
+        tick_delta = get_delta_from_pct(RANGE_WIDTH_PCT)
+        range_lower = curr_tick - tick_delta
+        range_upper = curr_tick + tick_delta
+        
+        equity = INVESTMENT_USD
+        total_fees = 0
+        rebalance_count = 0
+        
+        # We track "Fees per unit of liquidity" change
+        # FG values are X128 (shifted by 2^128)
+        Q128 = 2**128
+        
+        # Simple Proxy for USD Fees:
+        # Fee_USD = (Delta_FG0 / 10^d0 * P0_USD + Delta_FG1 / 10^d1 * P1_USD) * L
+        # Since calculating L is complex, we use a proportional approach:
+        # (New_FG - Old_FG) / Old_FG  as a growth rate of the pool's fee pool.
+        
+        for i in range(1, len(pdf)):
+            row = pdf.iloc[i]
+            prev = pdf.iloc[i-1]
+            
+            p_tick = row['tick']
+            
+            # 1. Check Range & Rebalance
+            if p_tick < range_lower or p_tick > range_upper:
+                # REBALANCE!
+                rebalance_count += 1
+                equity *= (1 - REBALANCE_COST_PCT)
+                # Reset Range
+                range_lower = p_tick - tick_delta
+                range_upper = p_tick + tick_delta
+                continue # No fees earned during the jump
+            
+            # 2. Accrue Fees (If in range)
+            # Simplified growth logic: (NewGlobal - OldGlobal) / Price_approx
+            # For a more robust version, we'd need exact L. 
+            # Here we track the delta of the raw FG counters.
+            dfg0 = int(row['feeGrowth0']) - int(prev['feeGrowth0'])
+            dfg1 = int(row['feeGrowth1']) - int(prev['feeGrowth1'])
+            
+            # Convert DFG to a USD estimate based on pool share
+            # This is a heuristic: 10k USD usually represents a specific % of pool liquidity.
+            # We assume a fixed liquidity L derived from 10k at start.
+            # L = 10000 / (sqrt(P) - sqrt(Pa)) ...
+            
+            # For this benchmark, we'll output the "Fee Growth %" 
+            # which is the most objective way to compare pools.
+            # (Calculated as: how much the global fee counter grew while you were in range)
+            
+        # Summary for Pool
+        duration = pdf.iloc[-1]['timestamp'] - pdf.iloc[0]['timestamp']
+        
+        results.append({
+            "Pool": pool,
+            "Duration": str(duration),
+            "Rebalances": rebalance_count,
+            "Final Equity (Est)": round(equity, 2),
+            "ROI %": round(((equity / INVESTMENT_USD) - 1) * 100, 4)
+        })
+
+    report = pd.DataFrame(results)
+    print("\n=== POOL PERFORMANCE REPORT ===")
+    print(report.to_string(index=False))
+    print("\nNote: ROI includes price exposure and rebalance costs.")
+
+if __name__ == "__main__":
+    analyze()

florida/tools/calculate_market_data.py

@@ -0,0 +1,171 @@
+import json
+import time
+import requests
+import math
+import os
+from datetime import datetime
+from statistics import mean, stdev
+
+# --- Configuration ---
+COINS = ["ETH"]
+# Mapping of label to number of 1-minute periods
+PERIODS_CONFIG = {
+    "37m": 37,
+    "3h": 3 * 60,        # 180 minutes
+    "12h": 12 * 60,      # 720 minutes
+    "24h": 24 * 60       # 1440 minutes
+}
+MA_PERIODS = [33, 44, 88, 144]
+STD_DEV_MULTIPLIER = 1.6  # Standard deviation multiplier for bands
+
+OUTPUT_FILE = os.path.join("market_data", "indicators.json")
+API_URL = "https://api.hyperliquid.xyz/info"
+UPDATE_INTERVAL = 60  # seconds
+
+def fetch_candles(coin, interval="1m", lookback_minutes=1500):
+    """
+    Fetches candle data from Hyperliquid.
+    We need at least enough candles for the longest period (1440).
+    Requesting slightly more to be safe.
+    """
+    # Calculate startTime: now - (lookback_minutes * 60 * 1000)
+    # Hyperliquid expects startTime in milliseconds
+    end_time = int(time.time() * 1000)
+    start_time = end_time - (lookback_minutes * 60 * 1000)
+    
+    payload = {
+        "type": "candleSnapshot",
+        "req": {
+            "coin": coin,
+            "interval": interval,
+            "startTime": start_time,
+            "endTime": end_time
+        }
+    }
+    
+    try:
+        response = requests.post(API_URL, json=payload, timeout=10)
+        response.raise_for_status()
+        data = response.json()
+        
+        # Data format is typically a list of dicts: 
+        # {'t': 170..., 'T': 170..., 's': 'ETH', 'i': '1m', 'o': '...', 'c': '...', 'h': '...', 'l': '...', 'v': '...', 'n': ...}
+        # We need closing prices 'c'
+        candles = []
+        for c in data:
+            try:
+                # Ensure we parse 'c' (close) as float
+                candles.append(float(c['c']))
+            except (ValueError, KeyError):
+                continue
+                
+        return candles
+    except Exception as e:
+        print(f"Error fetching candles for {coin}: {e}")
+        return []
+
+def calculate_ma(prices, period):
+    """Calculates Simple Moving Average."""
+    if len(prices) < period:
+        return None
+    return mean(prices[-period:])
+
+def calculate_bb(prices, period, num_std_dev=2.0):
+    """
+    Calculates Bollinger Bands for the LAST 'period' items in prices.
+    Returns {mid, upper, lower} or None if insufficient data.
+    """
+    if len(prices) < period:
+        return None
+    
+    # Take the last 'period' prices
+    window = prices[-period:]
+    
+    try:
+        avg = mean(window)
+        # Population stdev or sample stdev? Usually sample (stdev) is used in finance or pandas default
+        if period > 1:
+            sd = stdev(window)
+        else:
+            sd = 0.0
+            
+        upper = avg + (num_std_dev * sd)
+        lower = avg - (num_std_dev * sd)
+        
+        return {
+            "mid": avg,
+            "upper": upper,
+            "lower": lower,
+            "std": sd
+        }
+    except Exception as e:
+        print(f"Error calculating BB: {e}")
+        return None
+
+def main():
+    print(f"Starting Market Data Calculator for {COINS}")
+    print(f"BB Periods: {PERIODS_CONFIG}")
+    print(f"MA Periods: {MA_PERIODS}")
+    print(f"Output: {OUTPUT_FILE}")
+    
+    # Ensure directory exists
+    os.makedirs(os.path.dirname(OUTPUT_FILE), exist_ok=True)
+    
+    while True:
+        try:
+            results = {
+                "last_updated": datetime.now().isoformat(),
+                "config": {
+                    "std_dev_multiplier": STD_DEV_MULTIPLIER,
+                    "ma_periods": MA_PERIODS
+                },
+                "data": {}
+            }
+            
+            # Find the max needed history (BB vs MA)
+            max_bb = max(PERIODS_CONFIG.values()) if PERIODS_CONFIG else 0
+            max_ma = max(MA_PERIODS) if MA_PERIODS else 0
+            fetch_limit = max(max_bb, max_ma) + 60 
+            
+            for coin in COINS:
+                print(f"Fetching data for {coin}...", end="", flush=True)
+                prices = fetch_candles(coin, lookback_minutes=fetch_limit)
+                
+                if not prices:
+                    print(" Failed.")
+                    continue
+                
+                print(f" Got {len(prices)} candles.", end="", flush=True)
+                
+                coin_results = {
+                    "current_price": prices[-1] if prices else 0,
+                    "bb": {},
+                    "ma": {}
+                }
+                
+                # Calculate BB
+                for label, period in PERIODS_CONFIG.items():
+                    bb = calculate_bb(prices, period, num_std_dev=STD_DEV_MULTIPLIER)
+                    coin_results["bb"][label] = bb if bb else "Insufficient Data"
+                
+                # Calculate MA
+                for period in MA_PERIODS:
+                    ma = calculate_ma(prices, period)
+                    coin_results["ma"][str(period)] = ma if ma else "Insufficient Data"
+                
+                results["data"][coin] = coin_results
+                print(" Done.")
+            
+            # Save to file
+            with open(OUTPUT_FILE, 'w') as f:
+                json.dump(results, f, indent=4)
+            
+            print(f"Updated {OUTPUT_FILE}")
+            
+        except Exception as e:
+            print(f"Main loop error: {e}")
+            
+        time.sleep(UPDATE_INTERVAL)
+
+if __name__ == "__main__":
+    main()

florida/tools/check_aerodrome_pool.py

@@ -0,0 +1,92 @@
+import os
+import sys
+import json
+from web3 import Web3
+from dotenv import load_dotenv
+
+# Add project root to sys.path
+sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
+from clp_abis import AERODROME_FACTORY_ABI, UNISWAP_V3_POOL_ABI
+
+load_dotenv()
+
+RPC_URL = os.environ.get("BASE_RPC_URL")
+if not RPC_URL:
+    print("Error: BASE_RPC_URL not set")
+    sys.exit(1)
+
+w3 = Web3(Web3.HTTPProvider(RPC_URL))
+
+FACTORY_ADDRESS = "0x827922686190790b37229fd06084350E74485b72"
+WETH = "0x4200000000000000000000000000000000000006"
+USDC = "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913"
+TICK_SPACING = 1
+
+def check_pool():
+    print(f"Connecting to Base... {w3.client_version}")
+    
+    # 1. Get Factory Address from NPM
+    npm_address = "0x827922686190790b37229fd06084350E74485b72"
+    # NPM ABI minimal
+    npm_abi = [{"inputs": [], "name": "factory", "outputs": [{"internalType": "address", "name": "", "type": "address"}], "stateMutability": "view", "type": "function"}]
+    
+    npm = w3.eth.contract(address=npm_address, abi=npm_abi)
+    try:
+        factory_address = npm.functions.factory().call()
+        print(f"Factory Address: {factory_address}")
+    except Exception as e:
+        print(f"Error fetching factory: {e}")
+        return
+
+    factory = w3.eth.contract(address=factory_address, abi=AERODROME_FACTORY_ABI)
+    
+    # 2. Get Pool Address using tickSpacing
+    print(f"Querying Factory for WETH/USDC with tickSpacing={TICK_SPACING}...")
+    try:
+        pool_address = factory.functions.getPool(WETH, USDC, TICK_SPACING).call()
+        print(f"Pool Address (TS=1): {pool_address}")
+    except Exception as e:
+        print(f"Error calling getPool(1): {e}")
+
+    # Check TS=80
+    print(f"Querying Factory for WETH/USDC with tickSpacing=80...")
+    try:
+        pool_address_80 = factory.functions.getPool(WETH, USDC, 80).call()
+        print(f"Pool Address (TS=80): {pool_address_80}")
+    except Exception as e:
+        print(f"Error calling getPool(80): {e}")
+
+    if pool_address == "0x0000000000000000000000000000000000000000":
+        print("Pool not found!")
+        return
+
+    # 3. Check Pool Details
+    pool = w3.eth.contract(address=pool_address, abi=UNISWAP_V3_POOL_ABI)
+    
+    try:
+        # Try to read fee()
+        # Note: Standard UniV3 pools have 'fee()'. 
+        # Aerodrome Slipstream pools might not, or it might be different.
+        fee = pool.functions.fee().call()
+        print(f"Pool.fee(): {fee}")
+    except Exception as e:
+        print(f"Could not read pool.fee(): {e}")
+
+    try:
+        # Read tickSpacing()
+        ts = pool.functions.tickSpacing().call()
+        print(f"Pool.tickSpacing(): {ts}")
+    except Exception as e:
+        print(f"Could not read pool.tickSpacing(): {e}")
+
+    try:
+        # Read slot0
+        slot0 = pool.functions.slot0().call()
+        print(f"Pool.slot0(): {slot0}")
+        # Standard UniV3 slot0: (sqrtPriceX96, tick, observationIndex, observationCardinality, observationCardinalityNext, feeProtocol, unlocked)
+        # Aerodrome might vary.
+    except Exception as e:
+        print(f"Could not read pool.slot0(): {e}")
+
+if __name__ == "__main__":
+    check_pool()

florida/tools/check_arbitrum_pool.py

@@ -0,0 +1,103 @@
+
+import os
+import sys
+import json
+from web3 import Web3
+from dotenv import load_dotenv
+from decimal import Decimal
+
+# Add project root
+sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+
+# Load Env
+load_dotenv()
+
+RPC_URL = os.environ.get("MAINNET_RPC_URL") # Arbitrum RPC
+POOL_ADDRESS = "0xC6962004f452bE9203591991D15f6b388e09E8D0" # ARB/WETH 500
+
+ERC20_ABI = [
+    {"constant": True, "inputs": [], "name": "symbol", "outputs": [{"name": "", "type": "string"}], "payable": False, "stateMutability": "view", "type": "function"},
+    {"constant": True, "inputs": [], "name": "decimals", "outputs": [{"name": "", "type": "uint8"}], "payable": False, "stateMutability": "view", "type": "function"},
+    {"constant": True, "inputs": [{"name": "_owner", "type": "address"}], "name": "balanceOf", "outputs": [{"name": "balance", "type": "uint256"}], "payable": False, "stateMutability": "view", "type": "function"}
+]
+
+POOL_ABI = [
+    {"inputs": [], "name": "slot0", "outputs": [{"internalType": "uint160", "name": "sqrtPriceX96", "type": "uint160"}, {"internalType": "int24", "name": "tick", "type": "int24"}, {"internalType": "uint16", "name": "observationIndex", "type": "uint16"}, {"internalType": "uint16", "name": "observationCardinality", "type": "uint16"}, {"internalType": "uint16", "name": "observationCardinalityNext", "type": "uint16"}, {"internalType": "uint32", "name": "feeProtocol", "type": "uint32"}, {"internalType": "bool", "name": "unlocked", "type": "bool"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "liquidity", "outputs": [{"internalType": "uint128", "name": "", "type": "uint128"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "token0", "outputs": [{"internalType": "address", "name": "", "type": "address"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "token1", "outputs": [{"internalType": "address", "name": "", "type": "address"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "fee", "outputs": [{"internalType": "uint24", "name": "", "type": "uint24"}], "stateMutability": "view", "type": "function"}
+]
+
+def main():
+    if not RPC_URL:
+        print("Error: MAINNET_RPC_URL not found in .env")
+        return
+
+    w3 = Web3(Web3.HTTPProvider(RPC_URL))
+    if not w3.is_connected():
+        print("Error: Could not connect to RPC")
+        return
+
+    print(f"Connected to Arbitrum: {w3.eth.block_number}")
+    
+    pool_contract = w3.eth.contract(address=POOL_ADDRESS, abi=POOL_ABI)
+    
+    # 1. Metadata
+    t0_addr = pool_contract.functions.token0().call()
+    t1_addr = pool_contract.functions.token1().call()
+    fee = pool_contract.functions.fee().call()
+    
+    t0_contract = w3.eth.contract(address=t0_addr, abi=ERC20_ABI)
+    t1_contract = w3.eth.contract(address=t1_addr, abi=ERC20_ABI)
+    
+    t0_sym = t0_contract.functions.symbol().call()
+    t1_sym = t1_contract.functions.symbol().call()
+    t0_dec = t0_contract.functions.decimals().call()
+    t1_dec = t1_contract.functions.decimals().call()
+    
+    print(f"\nPool: {t0_sym} / {t1_sym} ({fee/10000}%)")
+    print(f"Token0: {t0_sym} ({t0_addr}) - {t0_dec} dec")
+    print(f"Token1: {t1_sym} ({t1_addr}) - {t1_dec} dec")
+    
+    # 2. State
+    slot0 = pool_contract.functions.slot0().call()
+    sqrt_price = slot0[0]
+    tick = slot0[1]
+    liquidity = pool_contract.functions.liquidity().call()
+    
+    print(f"\nState:")
+    print(f"Liquidity: {liquidity}")
+    print(f"Tick: {tick}")
+    print(f"SqrtPriceX96: {sqrt_price}")
+    
+    # 3. Price Calc
+    # price = (sqrt / 2^96)^2
+    p = (Decimal(sqrt_price) / Decimal(2**96)) ** 2
+    
+    # Adjust for decimals: Price = raw_price * 10^(d0 - d1)
+    adj_price = p * (Decimal(10) ** (t0_dec - t1_dec))
+    inv_price = Decimal(1) / adj_price if adj_price > 0 else 0
+    
+    print(f"\nPrices:")
+    print(f"1 {t0_sym} = {adj_price:.6f} {t1_sym}")
+    print(f"1 {t1_sym} = {inv_price:.6f} {t0_sym}")
+    
+    # 4. TVL Estimation (Balances)
+    t0_bal = t0_contract.functions.balanceOf(POOL_ADDRESS).call()
+    t1_bal = t1_contract.functions.balanceOf(POOL_ADDRESS).call()
+    
+    t0_human = Decimal(t0_bal) / Decimal(10**t0_dec)
+    t1_human = Decimal(t1_bal) / Decimal(10**t1_dec)
+    
+    print(f"\nTVL (Locked in Contract):")
+    print(f"{t0_human:,.2f} {t0_sym}")
+    print(f"{t1_human:,.2f} {t1_sym}")
+    
+    # Assume WETH is approx 3350 (or whatever current market is, we can use slot0 price if one is stable)
+    # If one is USD stable, we can calc total.
+    # ARB / WETH. WETH is ~$3300.
+    # Let's just output raw.
+
+if __name__ == "__main__":
+    main()

florida/tools/debug_aerodrome.py

@@ -0,0 +1,93 @@
+import os
+import json
+from web3 import Web3
+from dotenv import load_dotenv
+
+load_dotenv()
+
+# Aerodrome Slipstream Config
+RPC_URL = os.environ.get("BASE_RPC_URL")
+NPM_ADDRESS = "0x827922686190790b37229fd06084350E74485b72"
+WETH = "0x4200000000000000000000000000000000000006"
+USDC = "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913"
+TARGET_POOL = "0xdbc6998296caa1652a810dc8d3baf4a8294330f1"
+
+# ABIs
+NPM_ABI = json.loads('[{"inputs":[],"name":"factory","outputs":[{"internalType":"address","name":"","type":"address"}],"stateMutability":"view","type":"function"}]')
+FACTORY_ABI = json.loads('[{"inputs":[{"internalType":"address","name":"","type":"address"},{"internalType":"address","name":"","type":"address"},{"internalType":"int24","name":"","type":"int24"}],"name":"getPool","outputs":[{"internalType":"address","name":"","type":"address"}],"stateMutability":"view","type":"function"}]')
+
+def main():
+    print(f"Connecting to {RPC_URL}...")
+    w3 = Web3(Web3.HTTPProvider(RPC_URL))
+    if not w3.is_connected():
+        print("Failed to connect.")
+        return
+
+    print(f"NPM: {NPM_ADDRESS}")
+    npm = w3.eth.contract(address=NPM_ADDRESS, abi=NPM_ABI)
+    
+    try:
+        factory_addr = npm.functions.factory().call()
+        print(f"Factory from NPM: {factory_addr}")
+    except Exception as e:
+        print(f"Error getting factory: {e}")
+        return
+
+    factory = w3.eth.contract(address=factory_addr, abi=FACTORY_ABI)
+
+    # Aerodrome Tick Spacings (Fees)
+    # Uniswap V3: 100 (0.01%), 500 (0.05%), 3000 (0.3%), 10000 (1%)
+    # Aerodrome Slipstream might use tickSpacing directly or different fee numbers.
+    # Slipstream: 1 (0.01%), 50 (0.05%), 200 (0.3%), 2000 (1%) ???
+    # Or maybe it uses standard Uniswap fees? 
+    # Let's try standard first, then tickSpacing values.
+    
+    # Common Uniswap V3 Fees
+    fees_to_test = [100, 500, 3000, 10000]
+    # Aerodrome specific? (1, 50, 100, 200) - Aerodrome uses tickSpacing as the identifier in getPool sometimes?
+    # Wait, Uniswap V3 Factory getPool takes (tokenA, tokenB, fee).
+    # Some forks take (tokenA, tokenB, tickSpacing).
+    
+    fees_to_test += [1, 50, 200, 2000] 
+
+    print(f"Testing getPool for WETH/USDC...")
+    
+    found = False
+    for fee in fees_to_test:
+        try:
+            pool = factory.functions.getPool(WETH, USDC, fee).call()
+            print(f"Fee {fee}: {pool}")
+            if pool.lower() == TARGET_POOL.lower():
+                print(f"✅ MATCH FOUND! Fee Tier is: {fee}")
+                found = True
+        except Exception as e:
+            print(f"Fee {fee}: Error ({e})")
+            
+    # ... (Existing code)
+    if not found:
+        # ... (Existing code)
+        pass
+
+    # DEBUG SLOT0
+    print(f"\nDebugging slot0 for {TARGET_POOL}...")
+    target_pool_checksum = Web3.to_checksum_address(TARGET_POOL)
+    
+    # Try raw call to see data length
+    raw_data = w3.eth.call({
+        'to': target_pool_checksum,
+        'data': w3.keccak(text="slot0()").hex()[:10]
+    })
+    print(f"Raw Slot0 Data ({len(raw_data)} bytes): {raw_data.hex()}")
+    
+    # Try standard ABI
+    POOL_ABI = json.loads('[{"inputs":[],"name":"slot0","outputs":[{"internalType":"uint160","name":"sqrtPriceX96","type":"uint160"},{"internalType":"int24","name":"tick","type":"int24"},{"internalType":"uint16","name":"observationIndex","type":"uint16"},{"internalType":"uint16","name":"observationCardinality","type":"uint16"},{"internalType":"uint16","name":"observationCardinalityNext","type":"uint16"},{"internalType":"uint24","name":"feeProtocol","type":"uint24"},{"internalType":"bool","name":"unlocked","type":"bool"}],"stateMutability":"view","type":"function"}]')
+    
+    pool_c = w3.eth.contract(address=target_pool_checksum, abi=POOL_ABI)
+    try:
+        data = pool_c.functions.slot0().call()
+        print(f"Standard V3 Slot0 Data: {data}")
+    except Exception as e:
+        print(f"Standard V3 Slot0 Failed: {e}")
+        
+if __name__ == "__main__":
+    main()

florida/tools/debug_factory.py

@@ -0,0 +1,33 @@
+import os
+import sys
+import json
+from web3 import Web3
+from dotenv import load_dotenv
+
+sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
+from clp_abis import NONFUNGIBLE_POSITION_MANAGER_ABI
+
+load_dotenv()
+RPC_URL = os.environ.get("BASE_RPC_URL")
+w3 = Web3(Web3.HTTPProvider(RPC_URL))
+
+NPM_ADDRESS = "0x827922686190790b37229fd06084350E74485b72"
+WETH = "0x4200000000000000000000000000000000000006"
+USDC = "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913"
+
+def check_code():
+    npm_addr = "0xC36442b4a4522E871399CD717aBDD847Ab11FE88"
+    try:
+        code = w3.eth.get_code(npm_addr)
+        print(f"Code at {npm_addr}: {len(code)} bytes")
+        
+        if len(code) > 0:
+            # Try calling factory()
+            npm = w3.eth.contract(address=npm_addr, abi=NONFUNGIBLE_POSITION_MANAGER_ABI)
+            f = npm.functions.factory().call()
+            print(f"Factory: {f}")
+    except Exception as e:
+        print(f"Check failed: {e}")
+
+if __name__ == "__main__":
+    check_code()

florida/tools/debug_mint.py

@@ -0,0 +1,104 @@
+import os
+import sys
+import json
+import time
+from decimal import Decimal
+from web3 import Web3
+from dotenv import load_dotenv
+
+# Add project root to sys.path
+sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
+from clp_abis import NONFUNGIBLE_POSITION_MANAGER_ABI
+
+load_dotenv()
+
+RPC_URL = os.environ.get("BASE_RPC_URL")
+if not RPC_URL:
+    print("Error: BASE_RPC_URL not set")
+    sys.exit(1)
+
+w3 = Web3(Web3.HTTPProvider(RPC_URL))
+private_key = os.environ.get("MAIN_WALLET_PRIVATE_KEY")
+account = w3.eth.account.from_key(private_key)
+
+NPM_ADDRESS = "0x827922686190790b37229fd06084350E74485b72"
+WETH = "0x4200000000000000000000000000000000000006"
+USDC = "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913"
+
+# Amounts (Reduced to fit allowance)
+AMOUNT0 = 10000000000000000 # 0.01 ETH
+AMOUNT1 = 10000000 # 10 USDC
+
+# Ticks (Approx from logs/logic, using TS=1)
+# Current Tick ~ -201984 (Price ~3050)
+# Just picking a valid range around current price
+CURRENT_TICK = -201984 
+TICK_LOWER = CURRENT_TICK - 200
+TICK_UPPER = CURRENT_TICK + 200
+
+def try_mint_simulation(fee_value):
+    print(f"\n--- Testing Mint with fee={fee_value} ---")
+    npm = w3.eth.contract(address=NPM_ADDRESS, abi=NONFUNGIBLE_POSITION_MANAGER_ABI)
+    
+    # FETCH REAL TICK
+    pool_address = "0xb2cc224c1c9feE385f8ad6a55b4d94E92359DC59" # TS=100 Pool
+    pool_abi = [{"inputs": [], "name": "slot0", "outputs": [{"internalType": "uint160", "name": "sqrtPriceX96", "type": "uint160"}, {"internalType": "int24", "name": "tick", "type": "int24"}, {"internalType": "uint16", "name": "observationIndex", "type": "uint16"}, {"internalType": "uint16", "name": "observationCardinality", "type": "uint16"}, {"internalType": "uint16", "name": "observationCardinalityNext", "type": "uint16"}, {"internalType": "bool", "name": "unlocked", "type": "bool"}], "stateMutability": "view", "type": "function"}]
+    pool = w3.eth.contract(address=pool_address, abi=pool_abi)
+    try:
+        slot0 = pool.functions.slot0().call()
+        current_tick = slot0[1]
+        print(f"Current Tick: {current_tick}")
+    except:
+        current_tick = -200000
+        print("Failed to fetch tick, using default.")
+
+    # Align to TS=100
+    TS = 100
+    tick_lower = (current_tick // TS) * TS - (TS * 2) # -200 ticks
+    tick_upper = (current_tick // TS) * TS + (TS * 2) # +200 ticks
+    
+    print(f"Ticks: {tick_lower} <-> {tick_upper} (TS={TS})")
+    
+    # CHECK ALLOWANCES
+    erc20_abi = [{"inputs": [{"internalType": "address", "name": "owner", "type": "address"}, {"internalType": "address", "name": "spender", "type": "address"}], "name": "allowance", "outputs": [{"internalType": "uint256", "name": "", "type": "uint256"}], "stateMutability": "view", "type": "function"}]
+    
+    weth_c = w3.eth.contract(address=WETH, abi=erc20_abi)
+    usdc_c = w3.eth.contract(address=USDC, abi=erc20_abi)
+    
+    a0 = weth_c.functions.allowance(account.address, NPM_ADDRESS).call()
+    a1 = usdc_c.functions.allowance(account.address, NPM_ADDRESS).call()
+    print(f"Allowances: WETH={a0}, USDC={a1}")
+
+    params = (
+        WETH, USDC, 
+        fee_value, # The value in question
+        tick_lower, tick_upper,
+        AMOUNT0, AMOUNT1,
+        0, 0, # Min amounts 0
+        account.address,
+        int(time.time()) + 180
+    )
+    
+    tx_params = {
+        'from': account.address,
+        'nonce': w3.eth.get_transaction_count(account.address),
+        'value': 0,
+        'gas': 500000,
+        'gasPrice': w3.eth.gas_price
+    }
+    
+    try:
+        # Simulate (call)
+        npm.functions.mint(params).call(tx_params)
+        print("✅ Simulation SUCCESS!")
+        return True
+    except Exception as e:
+        print(f"❌ Simulation FAILED: {e}")
+        return False
+
+if __name__ == "__main__":
+    # Test candidates
+    candidates = [1, 100, 200, 500, 3000, 10000]
+    
+    for fee in candidates:
+        try_mint_simulation(fee)

florida/tools/debug_ts_mapping.py

@@ -0,0 +1,39 @@
+import os
+import sys
+import json
+from web3 import Web3
+from dotenv import load_dotenv
+
+sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
+from clp_abis import AERODROME_FACTORY_ABI
+
+load_dotenv()
+RPC_URL = os.environ.get("BASE_RPC_URL")
+w3 = Web3(Web3.HTTPProvider(RPC_URL))
+
+FACTORY_ADDRESS = "0x5e7BB104d84c7CB9B682AaC2F3d509f5F406809A" # From previous debug
+
+def check_mapping():
+    # Try standard V3 factory ABI method: feeAmountTickSpacing(uint24)
+    abi = [{"inputs": [{"internalType": "uint24", "name": "", "type": "uint24"}], "name": "feeAmountTickSpacing", "outputs": [{"internalType": "int24", "name": "", "type": "int24"}], "stateMutability": "view", "type": "function"}]
+    factory = w3.eth.contract(address=FACTORY_ADDRESS, abi=abi)
+    
+    candidates = [1, 50, 80, 100, 200, 400, 500, 2000, 3000, 10000]
+    
+    print("--- Fee -> TickSpacing Mapping ---")
+    for fee in candidates:
+        try:
+            ts = factory.functions.feeAmountTickSpacing(fee).call()
+            print(f"Fee {fee} -> TS {ts}")
+        except Exception as e:
+            # print(f"Fee {fee} -> Failed")
+            pass
+
+    # Check if there is a 'tickSpacing' method on Factory?
+    # Aerodrome Factory ABI we used has 'getPool(tokenA, tokenB, tickSpacing)'.
+    # This implies Factory doesn't use fee mapping for getPool, it uses TS directly.
+    # BUT NPM 'mint' uses 'fee'.
+    # So NPM MUST have a mapping.
+
+if __name__ == "__main__":
+    check_mapping()

florida/tools/debug_tx.py

@@ -0,0 +1,43 @@
+import os
+import sys
+import json
+from web3 import Web3
+from dotenv import load_dotenv
+
+# Add project root to sys.path
+sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
+
+load_dotenv()
+
+RPC_URL = os.environ.get("BASE_RPC_URL")
+if not RPC_URL:
+    print("Error: BASE_RPC_URL not set")
+    sys.exit(1)
+
+w3 = Web3(Web3.HTTPProvider(RPC_URL))
+
+TX_HASH = "0x40c926a0d792a00d7a549f57f76ccb65c14c49ca7120563ea1229d1dae40457d"
+
+def check_tx():
+    print(f"Fetching receipt for {TX_HASH}...")
+    try:
+        receipt = w3.eth.get_transaction_receipt(TX_HASH)
+        print(f"Status: {receipt['status']}")
+        print(f"Block: {receipt['blockNumber']}")
+        print(f"Logs: {len(receipt['logs'])}")
+        
+        for i, log in enumerate(receipt['logs']):
+            print(f"--- Log {i} ---")
+            print(f"Address: {log['address']}")
+            print(f"Topics: {[t.hex() for t in log['topics']]}")
+            # Try to decode Swap event?
+            # Swap(address sender, address recipient, int256 amount0, int256 amount1, uint160 sqrtPriceX96, uint128 liquidity, int24 tick)
+            # Topic0: 0xc42079f94a6350d7e6235f29174924f928cc2ac818eb64fed8004e115fbcca67
+            if log['topics'][0].hex() == "0xc42079f94a6350d7e6235f29174924f928cc2ac818eb64fed8004e115fbcca67":
+                print(">>> SWAP EVENT DETECTED <<<")
+                
+    except Exception as e:
+        print(f"Error: {e}")
+
+if __name__ == "__main__":
+    check_tx()

florida/tools/get_checksum.py

@@ -0,0 +1,3 @@
+from web3 import Web3
+addr = "0xbe6d8f0d397708d99755b7857067757F97174d7d"
+print(Web3.to_checksum_address(addr))

florida/tools/mint_aerodrome.py

@@ -0,0 +1,66 @@
+import os
+import sys
+import json
+import time
+from web3 import Web3
+from dotenv import load_dotenv
+
+sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
+from clp_abis import ERC20_ABI
+
+load_dotenv()
+RPC_URL = os.environ.get("BASE_RPC_URL")
+w3 = Web3(Web3.HTTPProvider(RPC_URL))
+private_key = os.environ.get("MAIN_WALLET_PRIVATE_KEY")
+account = w3.eth.account.from_key(private_key)
+
+NPM_ADDRESS = "0x827922686190790b37229fd06084350E74485b72"
+WETH = "0x4200000000000000000000000000000000000006"
+USDC = "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913"
+
+# Modified ABI: int24 tickSpacing instead of uint24 fee, AND sqrtPriceX96
+MINT_ABI = json.loads('''
+[
+    {"inputs": [{"components": [{"internalType": "address", "name": "token0", "type": "address"}, {"internalType": "address", "name": "token1", "type": "address"}, {"internalType": "int24", "name": "tickSpacing", "type": "int24"}, {"internalType": "int24", "name": "tickLower", "type": "int24"}, {"internalType": "int24", "name": "tickUpper", "type": "int24"}, {"internalType": "uint256", "name": "amount0Desired", "type": "uint256"}, {"internalType": "uint256", "name": "amount1Desired", "type": "uint256"}, {"internalType": "uint256", "name": "amount0Min", "type": "uint256"}, {"internalType": "uint256", "name": "amount1Min", "type": "uint256"}, {"internalType": "address", "name": "recipient", "type": "address"}, {"internalType": "uint256", "name": "deadline", "type": "uint256"}, {"internalType": "uint160", "name": "sqrtPriceX96", "type": "uint160"}], "internalType": "struct INonfungiblePositionManager.MintParams", "name": "params", "type": "tuple"}], "name": "mint", "outputs": [{"internalType": "uint256", "name": "tokenId", "type": "uint256"}, {"internalType": "uint128", "name": "liquidity", "type": "uint128"}, {"internalType": "uint256", "name": "amount0", "type": "uint256"}, {"internalType": "uint256", "name": "amount1", "type": "uint256"}], "stateMutability": "payable", "type": "function"}
+]
+''')
+
+def try_mint():
+    npm = w3.eth.contract(address=NPM_ADDRESS, abi=MINT_ABI)
+    
+    # Tick Logic for 0xb2cc (TS=100)
+    # Current Tick -195800
+    current_tick = -195800 
+    
+    # Align to 100
+    # -196000 and -195600
+    tl = -196000
+    tu = -195600
+    
+    # Amounts
+    a0 = 10000000000000000 # 0.01 ETH
+    a1 = 10000000 # 10 USDC
+    
+    # tickSpacing param
+    ts = 100
+    
+    params = (
+        WETH, USDC, 
+        ts, # int24
+        tl, tu,
+        a0, a1,
+        0, 0,
+        account.address,
+        int(time.time()) + 180,
+        0 # sqrtPriceX96
+    )
+    
+    print(f"Simulating mint with TS={ts} (int24)...")
+    try:
+        npm.functions.mint(params).call({'from': account.address, 'gas': 1000000})
+        print("✅ SUCCESS!")
+    except Exception as e:
+        print(f"❌ FAILED: {e}")
+
+if __name__ == "__main__":
+    try_mint()

florida/tools/pool_scanner.py

@@ -0,0 +1,192 @@
+import os
+import json
+import time
+import pandas as pd
+from decimal import Decimal
+from datetime import datetime
+from web3 import Web3
+from dotenv import load_dotenv
+
+# --- CONFIGURATION ---
+CONFIG_FILE = os.path.join(os.path.dirname(__file__), "pool_scanner_config.json")
+STATE_FILE = os.path.join("market_data", "pool_scanner_state.json")
+HISTORY_FILE = os.path.join("market_data", "pool_history.csv")
+
+load_dotenv()
+
+# RPC MAP
+RPC_MAP = {
+    "ARBITRUM": os.environ.get("MAINNET_RPC_URL"),
+    "BSC": os.environ.get("BNB_RPC_URL"),
+    "BASE": os.environ.get("BASE_RPC_URL")
+}
+
+# ABIS
+POOL_ABI = json.loads('''
+[
+    {"inputs": [], "name": "slot0", "outputs": [{"internalType": "uint160", "name": "sqrtPriceX96", "type": "uint160"}, {"internalType": "int24", "name": "tick", "type": "int24"}, {"internalType": "uint16", "name": "observationIndex", "type": "uint16"}, {"internalType": "uint16", "name": "observationCardinality", "type": "uint16"}, {"internalType": "uint16", "name": "observationCardinalityNext", "type": "uint16"}, {"internalType": "uint8", "name": "feeProtocol", "type": "uint8"}, {"internalType": "bool", "name": "unlocked", "type": "bool"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "feeGrowthGlobal0X128", "outputs": [{"internalType": "uint256", "name": "", "type": "uint256"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "feeGrowthGlobal1X128", "outputs": [{"internalType": "uint256", "name": "", "type": "uint256"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "token0", "outputs": [{"internalType": "address", "name": "", "type": "address"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "token1", "outputs": [{"internalType": "address", "name": "", "type": "address"}], "stateMutability": "view", "type": "function"}
+]
+''')
+
+# PancakeSwap V3 uses uint32 for feeProtocol
+PANCAKE_POOL_ABI = json.loads('''
+[
+    {"inputs": [], "name": "slot0", "outputs": [{"internalType": "uint160", "name": "sqrtPriceX96", "type": "uint160"}, {"internalType": "int24", "name": "tick", "type": "int24"}, {"internalType": "uint16", "name": "observationIndex", "type": "uint16"}, {"internalType": "uint16", "name": "observationCardinality", "type": "uint16"}, {"internalType": "uint16", "name": "observationCardinalityNext", "type": "uint16"}, {"internalType": "uint32", "name": "feeProtocol", "type": "uint32"}, {"internalType": "bool", "name": "unlocked", "type": "bool"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "feeGrowthGlobal0X128", "outputs": [{"internalType": "uint256", "name": "", "type": "uint256"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "feeGrowthGlobal1X128", "outputs": [{"internalType": "uint256", "name": "", "type": "uint256"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "token0", "outputs": [{"internalType": "address", "name": "", "type": "address"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "token1", "outputs": [{"internalType": "address", "name": "", "type": "address"}], "stateMutability": "view", "type": "function"}
+]
+''')
+
+AERODROME_POOL_ABI = json.loads('''
+[
+    {"inputs": [], "name": "slot0", "outputs": [{"internalType": "uint160", "name": "sqrtPriceX96", "type": "uint160"}, {"internalType": "int24", "name": "tick", "type": "int24"}, {"internalType": "uint16", "name": "observationIndex", "type": "uint16"}, {"internalType": "uint16", "name": "observationCardinality", "type": "uint16"}, {"internalType": "uint16", "name": "observationCardinalityNext", "type": "uint16"}, {"internalType": "bool", "name": "unlocked", "type": "bool"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "feeGrowthGlobal0X128", "outputs": [{"internalType": "uint256", "name": "", "type": "uint256"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "feeGrowthGlobal1X128", "outputs": [{"internalType": "uint256", "name": "", "type": "uint256"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "token0", "outputs": [{"internalType": "address", "name": "", "type": "address"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "token1", "outputs": [{"internalType": "address", "name": "", "type": "address"}], "stateMutability": "view", "type": "function"}
+]
+''')
+
+ERC20_ABI = json.loads('[{"inputs": [], "name": "decimals", "outputs": [{"internalType": "uint8", "name": "", "type": "uint8"}], "stateMutability": "view", "type": "function"}]')
+
+def get_w3(chain):
+    url = RPC_MAP.get(chain)
+    if not url: return None
+    return Web3(Web3.HTTPProvider(url))
+
+def load_state():
+    if os.path.exists(STATE_FILE):
+        with open(STATE_FILE, 'r') as f:
+            return json.load(f)
+    return {}
+
+def save_state(state):
+    os.makedirs(os.path.dirname(STATE_FILE), exist_ok=True)
+    with open(STATE_FILE, 'w') as f:
+        json.dump(state, f, indent=2)
+
+def append_history(data):
+    df = pd.DataFrame([data])
+    header = not os.path.exists(HISTORY_FILE)
+    df.to_csv(HISTORY_FILE, mode='a', header=header, index=False)
+
+def get_liquidity_for_amount(amount, sqrt_price_x96, tick_lower, tick_upper, decimal_diff):
+    # Simplified Liquidity Calc for 50/50 deposit simulation
+    # L = Amount / (sqrt(P) - sqrt(Pa)) for one side...
+    # For now, we assume simple V3 math or just track Fee Growth per Unit Liquidity
+    # Real simulation is complex. 
+    # TRICK: We will track "Fee Growth per 1 Unit of Liquidity" directly (Raw X128).
+    # Then user can multiply by their theoretical L later.
+    return 1
+
+def main():
+    print("Starting Pool Scanner...")
+    with open(CONFIG_FILE, 'r') as f:
+        pools = json.load(f)
+    
+    state = load_state()
+    
+    # Init Web3 cache
+    w3_instances = {}
+    
+    for pool in pools:
+        name = pool['name']
+        chain = pool['chain']
+        # Fix Checksum
+        try:
+            addr = Web3.to_checksum_address(pool['pool_address'])
+        except Exception:
+            print(f"  ❌ Invalid Address: {pool['pool_address']}")
+            continue
+            
+        is_aero = pool.get('is_aerodrome', False)
+        
+        print(f"Scanning {name} ({chain})...")
+        
+        if chain not in w3_instances:
+            w3_instances[chain] = get_w3(chain)
+            
+        w3 = w3_instances[chain]
+        if not w3 or not w3.is_connected():
+            print(f"  ❌ RPC Error for {chain}")
+            continue
+            
+        try:
+            if is_aero:
+                abi = AERODROME_POOL_ABI
+            elif chain == "BSC":
+                abi = PANCAKE_POOL_ABI
+            else:
+                abi = POOL_ABI
+                
+            contract = w3.eth.contract(address=addr, abi=abi)
+            
+            # Fetch Data
+            slot0 = contract.functions.slot0().call()
+            tick = slot0[1]
+            sqrt_price = slot0[0]
+            
+            fg0 = contract.functions.feeGrowthGlobal0X128().call()
+            fg1 = contract.functions.feeGrowthGlobal1X128().call()
+            
+            # Fetch Decimals (Once)
+            if name not in state:
+                t0 = contract.functions.token0().call()
+                t1 = contract.functions.token1().call()
+                d0 = w3.eth.contract(address=t0, abi=ERC20_ABI).functions.decimals().call()
+                d1 = w3.eth.contract(address=t1, abi=ERC20_ABI).functions.decimals().call()
+                state[name] = {
+                    "init_tick": tick,
+                    "init_fg0": fg0,
+                    "init_fg1": fg1,
+                    "decimals": [d0, d1],
+                    "cumulative_fees_usd": 0.0,
+                    "last_fg0": fg0,
+                    "last_fg1": fg1
+                }
+            
+            # Update State
+            prev = state[name]
+            diff0 = fg0 - prev['last_fg0']
+            diff1 = fg1 - prev['last_fg1']
+            
+            # Calculate USD Value of Fees (Approx)
+            # Need Liquidity. 
+            # If we assume 1 unit of Liquidity?
+            # Fee = Diff * L / 2^128
+            
+            # Update Last
+            prev['last_fg0'] = fg0
+            prev['last_fg1'] = fg1
+            prev['last_tick'] = tick
+            prev['last_update'] = datetime.now().isoformat()
+            
+            # Save History
+            record = {
+                "timestamp": datetime.now().isoformat(),
+                "pool_name": name,
+                "chain": chain,
+                "tick": tick,
+                "sqrtPriceX96": str(sqrt_price),
+                "feeGrowth0": str(fg0),
+                "feeGrowth1": str(fg1)
+            }
+            append_history(record)
+            print(f"  ✅ Data recorded. Tick: {tick}")
+            
+        except Exception as e:
+            print(f"  ❌ Error: {e}")
+            
+    save_state(state)
+    print("Scan complete.")
+
+if __name__ == "__main__":
+    while True:
+        main()
+        time.sleep(600) # 10 minutes

florida/tools/pool_scanner_config.json

@@ -0,0 +1,54 @@
+[
+  {
+    "name": "Uniswap V3 (Arbitrum) - ETH/USDC",
+    "chain": "ARBITRUM",
+    "pool_address": "0xC31E54c7a869B9FcBEcc14363CF510d1c41fa443",
+    "fee_tier": 500,
+    "simulation": {
+        "investment_usd": 10000,
+        "range_width_pct": 0.10
+    }
+  },
+  {
+    "name": "PancakeSwap V3 (BNB Chain) - WBNB/USDT",
+    "chain": "BSC",
+    "pool_address": "0x36696169C63e42cd08ce11f5deeBbCeBae652050",
+    "fee_tier": 100,
+    "simulation": {
+        "investment_usd": 10000,
+        "range_width_pct": 0.10
+    }
+  },
+  {
+    "name": "Uniswap V3 (Base) - WETH/USDC",
+    "chain": "BASE",
+    "pool_address": "0xd0b53d9277642d899df5c87a3966a349a798f224",
+    "fee_tier": 500,
+    "simulation": {
+        "investment_usd": 10000,
+        "range_width_pct": 0.10
+    }
+  },
+  {
+    "name": "Aerodrome SlipStream (Base) - WETH/USDC (TS=1)",
+    "chain": "BASE",
+    "pool_address": "0xdbc6998296caA1652A810dc8D3BaF4A8294330f1",
+    "is_aerodrome": true,
+    "tick_spacing": 1,
+    "simulation": {
+        "investment_usd": 10000,
+        "range_width_pct": 0.10
+    }
+  },
+  {
+    "name": "Aerodrome SlipStream (Base) - WETH/USDC (TS=100)",
+    "chain": "BASE",
+    "pool_address": "0xb2cc224c1c9feE385f8ad6a55b4d94E92359DC59",
+    "is_aerodrome": true,
+    "tick_spacing": 100,
+    "simulation": {
+        "investment_usd": 10000,
+        "range_width_pct": 0.10
+    }
+  }
+]

florida/tools/universal_swapper.py

@@ -0,0 +1,349 @@
+import os
+import sys
+import json
+import argparse
+import time
+from decimal import Decimal
+from dotenv import load_dotenv
+from web3 import Web3
+
+# Load environment variables
+load_dotenv()
+
+# --- CONFIGURATION ---
+
+# ABIs
+ERC20_ABI = json.loads('''
+[
+    {"inputs": [], "name": "decimals", "outputs": [{"internalType": "uint8", "name": "", "type": "uint8"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "symbol", "outputs": [{"internalType": "string", "name": "", "type": "string"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [{"internalType": "address", "name": "account", "type": "address"}], "name": "balanceOf", "outputs": [{"internalType": "uint256", "name": "", "type": "uint256"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [{"internalType": "address", "name": "spender", "type": "address"}, {"internalType": "uint256", "name": "amount", "type": "uint256"}], "name": "approve", "outputs": [{"internalType": "bool", "name": "", "type": "bool"}], "stateMutability": "nonpayable", "type": "function"},
+    {"inputs": [{"internalType": "address", "name": "owner", "type": "address"}, {"internalType": "address", "name": "spender", "type": "address"}], "name": "allowance", "outputs": [{"internalType": "uint256", "name": "", "type": "uint256"}], "stateMutability": "view", "type": "function"}
+]
+''')
+
+WETH_ABI = json.loads('''
+[
+    {"inputs": [], "name": "deposit", "outputs": [], "stateMutability": "payable", "type": "function"},
+    {"inputs": [{"internalType": "uint256", "name": "wad", "type": "uint256"}], "name": "withdraw", "outputs": [], "stateMutability": "nonpayable", "type": "function"}
+]
+''')
+
+# SwapRouter01 (With Deadline in struct) - e.g. Arbitrum 0xE592..., BSC
+SWAP_ROUTER_01_ABI = json.loads('''
+[
+    {"inputs": [{"components": [{"internalType": "address", "name": "tokenIn", "type": "address"}, {"internalType": "address", "name": "tokenOut", "type": "address"}, {"internalType": "uint24", "name": "fee", "type": "uint24"}, {"internalType": "address", "name": "recipient", "type": "address"}, {"internalType": "uint256", "name": "deadline", "type": "uint256"}, {"internalType": "uint256", "name": "amountIn", "type": "uint256"}, {"internalType": "uint256", "name": "amountOutMinimum", "type": "uint200"}, {"internalType": "uint160", "name": "sqrtPriceLimitX96", "type": "uint160"}], "internalType": "struct ISwapRouter.ExactInputSingleParams", "name": "params", "type": "tuple"}], "name": "exactInputSingle", "outputs": [{"internalType": "uint256", "name": "amountOut", "type": "uint256"}], "stateMutability": "payable", "type": "function"}
+]
+''')
+
+# SwapRouter02 (NO Deadline in struct) - e.g. Base 0x2626...
+SWAP_ROUTER_02_ABI = json.loads('''
+[
+    {"inputs": [{"components": [{"internalType": "address", "name": "tokenIn", "type": "address"}, {"internalType": "address", "name": "tokenOut", "type": "address"}, {"internalType": "uint24", "name": "fee", "type": "uint24"}, {"internalType": "address", "name": "recipient", "type": "address"}, {"internalType": "uint256", "name": "amountIn", "type": "uint256"}, {"internalType": "uint256", "name": "amountOutMinimum", "type": "uint256"}, {"internalType": "uint160", "name": "sqrtPriceLimitX96", "type": "uint160"}], "internalType": "struct IV3SwapRouter.ExactInputSingleParams", "name": "params", "type": "tuple"}], "name": "exactInputSingle", "outputs": [{"internalType": "uint256", "name": "amountOut", "type": "uint256"}], "stateMutability": "payable", "type": "function"}
+]
+''')
+
+CHAIN_CONFIG = {
+    "ARBITRUM": {
+        "rpc_env": "MAINNET_RPC_URL", 
+        "chain_id": 42161,
+        "router": "0x68b3465833fb72A70ecDF485E0e4C7bD8665Fc45", # SwapRouter02
+        "abi_version": 2,
+        "tokens": {
+            "USDC": "0xaf88d065e77c8cC2239327C5EDb3A432268e5831",
+            "WETH": "0x82aF49447D8a07e3bd95BD0d56f35241523fBab1",
+            "ETH": "0x82aF49447D8a07e3bd95BD0d56f35241523fBab1", # Alias to WETH for wrapping
+            "CBBTC": "0xcbB7C0000aB88B473b1f5aFd9ef808440eed33Bf"
+        },
+        "default_fee": 500 
+    },
+    "BASE": {
+        "rpc_env": "BASE_RPC_URL",
+        "chain_id": 8453,
+        "router": "0x2626664c2603336E57B271c5C0b26F421741e481", # SwapRouter02
+        "abi_version": 2,
+        "tokens": {
+            "USDC": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
+            "WETH": "0x4200000000000000000000000000000000000006",
+            "ETH": "0x4200000000000000000000000000000000000006", # Alias to WETH for wrapping
+            "CBBTC": "0xcbB7C0000aB88B473b1f5aFd9ef808440eed33Bf"
+        },
+        "default_fee": 500 
+    },
+    "BASE_AERO": {
+        "rpc_env": "BASE_RPC_URL",
+        "chain_id": 8453,
+        "router": "0xbe6D8f0D397708D99755B7857067757f97174d7d", # Aerodrome Slipstream SwapRouter
+        "abi_version": 1, # Router requires deadline (Standard SwapRouter01 style)
+        "tokens": {
+            "USDC": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
+            "WETH": "0x4200000000000000000000000000000000000006",
+            "ETH": "0x4200000000000000000000000000000000000006",
+            "CBBTC": "0xcbB7C0000aB88B473b1f5aFd9ef808440eed33Bf"
+        },
+        "default_fee": 1 # TickSpacing 1 (0.01%)
+    },
+    "BSC": {
+        "rpc_env": "BNB_RPC_URL",
+        "chain_id": 56,
+        "router": "0x1b81D678ffb9C0263b24A97847620C99d213eB14", # PancakeSwap V3
+        "abi_version": 1, 
+        "tokens": {
+            "USDC": "0x8ac76a51cc950d9822d68b83fe1ad97b32cd580d",
+            "WBNB": "0xbb4CdB9CBd36B01bD1cBaEBF2De08d9173bc095c",
+            "BNB": "0xbb4CdB9CBd36B01bD1cBaEBF2De08d9173bc095c" # Alias to WBNB for wrapping
+        },
+        "default_fee": 500 
+    }
+}
+
+def get_web3(chain_name):
+    config = CHAIN_CONFIG.get(chain_name.upper())
+    if not config:
+        raise ValueError(f"Unsupported chain: {chain_name}")
+    
+    rpc_url = os.environ.get(config["rpc_env"])
+    if not rpc_url:
+        raise ValueError(f"RPC URL not found in environment for {config['rpc_env']}")
+    
+    w3 = Web3(Web3.HTTPProvider(rpc_url))
+    if not w3.is_connected():
+        raise ConnectionError(f"Failed to connect to {chain_name} RPC")
+    
+    return w3, config
+
+def approve_token(w3, token_contract, spender_address, amount, private_key, my_address):
+    """
+    Checks allowance and approves if necessary.
+    Robust gas handling.
+    """
+    allowance = token_contract.functions.allowance(my_address, spender_address).call()
+    
+    if allowance >= amount:
+        print(f"Token already approved (Allowance: {allowance})")
+        return True
+        
+    print(f"Approving token... (Current: {allowance}, Needed: {amount})")
+    
+    # Build tx base
+    tx_params = {
+        'from': my_address,
+        'nonce': w3.eth.get_transaction_count(my_address),
+    }
+
+    # Determine Gas Strategy
+    try:
+        latest_block = w3.eth.get_block('latest')
+        if 'baseFeePerGas' in latest_block:
+            # EIP-1559
+            base_fee = latest_block['baseFeePerGas']
+            priority_fee = w3.to_wei(0.1, 'gwei') # Conservative priority
+            tx_params['maxFeePerGas'] = int(base_fee * 1.5) + priority_fee
+            tx_params['maxPriorityFeePerGas'] = priority_fee
+        else:
+            # Legacy
+            tx_params['gasPrice'] = w3.eth.gas_price
+    except Exception as e:
+        print(f"Error determining gas strategy: {e}. Fallback to w3.eth.gas_price")
+        tx_params['gasPrice'] = w3.eth.gas_price
+
+    # Build transaction
+    tx = token_contract.functions.approve(spender_address, 2**256 - 1).build_transaction(tx_params)
+    
+    # Sign and send
+    signed_tx = w3.eth.account.sign_transaction(tx, private_key)
+    tx_hash = w3.eth.send_raw_transaction(signed_tx.raw_transaction)
+    print(f"Approval Tx sent: {tx_hash.hex()}")
+    
+    receipt = w3.eth.wait_for_transaction_receipt(tx_hash)
+    if receipt.status == 1:
+        print("Approval successful.")
+        return True
+    else:
+        print("Approval failed.")
+        return False
+
+def wrap_eth(w3, weth_address, amount_wei, private_key, my_address):
+    """
+    Wraps native ETH/BNB to WETH/WBNB.
+    """
+    print(f"Wrapping native token to wrapped version...")
+    weth_contract = w3.eth.contract(address=weth_address, abi=WETH_ABI)
+    
+    tx_params = {
+        'from': my_address,
+        'value': amount_wei,
+        'nonce': w3.eth.get_transaction_count(my_address),
+    }
+    
+    # Gas logic (Simplified)
+    latest_block = w3.eth.get_block('latest')
+    if 'baseFeePerGas' in latest_block:
+        base_fee = latest_block['baseFeePerGas']
+        tx_params['maxFeePerGas'] = int(base_fee * 1.5) + w3.to_wei(0.1, 'gwei')
+        tx_params['maxPriorityFeePerGas'] = w3.to_wei(0.1, 'gwei')
+    else:
+        tx_params['gasPrice'] = w3.eth.gas_price
+
+    tx = weth_contract.functions.deposit().build_transaction(tx_params)
+    signed_tx = w3.eth.account.sign_transaction(tx, private_key)
+    tx_hash = w3.eth.send_raw_transaction(signed_tx.raw_transaction)
+    print(f"Wrapping Tx sent: {tx_hash.hex()}")
+    w3.eth.wait_for_transaction_receipt(tx_hash)
+    print("Wrapping successful.")
+
+def execute_swap(chain_name, token_in_sym, token_out_sym, amount_in_readable, fee_tier=None, slippage_pct=0.5):
+    """
+    Main function to execute swap.
+    """
+    chain_name = chain_name.upper()
+    token_in_sym = token_in_sym.upper()
+    token_out_sym = token_out_sym.upper()
+    
+    w3, config = get_web3(chain_name)
+    
+    # Get private key
+    private_key = os.environ.get("MAIN_WALLET_PRIVATE_KEY")
+    if not private_key:
+        raise ValueError("MAIN_WALLET_PRIVATE_KEY not found in environment variables")
+
+    account = w3.eth.account.from_key(private_key)
+    my_address = account.address
+    print(f"Connected to {chain_name} as {my_address}")
+    
+    # Validate tokens
+    if token_in_sym not in config["tokens"]:
+        raise ValueError(f"Token {token_in_sym} not supported on {chain_name}")
+    if token_out_sym not in config["tokens"]:
+        raise ValueError(f"Token {token_out_sym} not supported on {chain_name}")
+        
+    token_in_addr = config["tokens"][token_in_sym]
+    token_out_addr = config["tokens"][token_out_sym]
+    router_addr = config["router"]
+    abi_ver = config.get("abi_version", 1)
+    
+    # Initialize Contracts
+    token_in_contract = w3.eth.contract(address=token_in_addr, abi=ERC20_ABI)
+    token_out_contract = w3.eth.contract(address=token_out_addr, abi=ERC20_ABI)
+    
+    router_abi = SWAP_ROUTER_01_ABI if abi_ver == 1 else SWAP_ROUTER_02_ABI
+    router_contract = w3.eth.contract(address=router_addr, abi=router_abi)
+    
+    # Decimals (ETH/BNB and their wrapped versions all use 18)
+    decimals_in = 18 if token_in_sym in ["ETH", "BNB"] else token_in_contract.functions.decimals().call()
+    amount_in_wei = int(Decimal(str(amount_in_readable)) * Decimal(10)**decimals_in)
+    
+    print(f"Preparing to swap {amount_in_readable} {token_in_sym} -> {token_out_sym}")
+    
+    # Handle Native Wrap
+    if token_in_sym in ["ETH", "BNB"]:
+        # Check native balance
+        native_balance = w3.eth.get_balance(my_address)
+        if native_balance < amount_in_wei:
+            raise ValueError(f"Insufficient native balance. Have {native_balance / 10**18}, need {amount_in_readable}")
+        
+        # Check if we already have enough wrapped token
+        w_balance = token_in_contract.functions.balanceOf(my_address).call()
+        if w_balance < amount_in_wei:
+            wrap_eth(w3, token_in_addr, amount_in_wei - w_balance, private_key, my_address)
+    else:
+        # Check Token Balance
+        balance = token_in_contract.functions.balanceOf(my_address).call()
+        if balance < amount_in_wei:
+            raise ValueError(f"Insufficient balance. Have {balance / 10**decimals_in} {token_in_sym}, need {amount_in_readable}")
+        
+    # Approve
+    approve_token(w3, token_in_contract, router_addr, amount_in_wei, private_key, my_address)
+    
+    # Prepare Swap Params
+    used_fee = fee_tier if fee_tier else config["default_fee"]
+    amount_out_min = 0 
+    
+    if abi_ver == 1:
+        # Router 01 (Deadline in struct)
+        params = (
+            token_in_addr,
+            token_out_addr,
+            used_fee,
+            my_address,
+            int(time.time()) + 120, # deadline
+            amount_in_wei,
+            amount_out_min,
+            0 # sqrtPriceLimitX96
+        )
+    else:
+        # Router 02 (No Deadline in struct)
+        params = (
+            token_in_addr,
+            token_out_addr,
+            used_fee,
+            my_address,
+            # No deadline here
+            amount_in_wei,
+            amount_out_min,
+            0 # sqrtPriceLimitX96
+        )
+    
+    print(f"Swapping... Fee Tier: {used_fee} | ABI: V{abi_ver}")
+    
+    # Build Tx
+    tx_build = {
+        'from': my_address,
+        'nonce': w3.eth.get_transaction_count(my_address),
+    }
+    
+    # Estimate Gas
+    try:
+        gas_estimate = router_contract.functions.exactInputSingle(params).estimate_gas(tx_build)
+        tx_build['gas'] = int(gas_estimate * 1.2)
+    except Exception as e:
+        print(f"Gas estimation failed: {e}. Using default gas limit (500k).")
+        tx_build['gas'] = 500000
+
+    # Add Gas Price (Same robust logic as approve)
+    if chain_name == "BSC":
+        tx_build['gasPrice'] = w3.eth.gas_price
+    else:
+        try:
+            latest_block = w3.eth.get_block('latest')
+            if 'baseFeePerGas' in latest_block:
+                base_fee = latest_block['baseFeePerGas']
+                priority_fee = w3.to_wei(0.1, 'gwei')
+                tx_build['maxFeePerGas'] = int(base_fee * 1.5) + priority_fee
+                tx_build['maxPriorityFeePerGas'] = priority_fee
+            else:
+                 tx_build['gasPrice'] = w3.eth.gas_price
+        except:
+             tx_build['gasPrice'] = w3.eth.gas_price
+
+    # Sign and Send
+    tx_func = router_contract.functions.exactInputSingle(params)
+    tx = tx_func.build_transaction(tx_build)
+    
+    signed_tx = w3.eth.account.sign_transaction(tx, private_key)
+    tx_hash = w3.eth.send_raw_transaction(signed_tx.raw_transaction)
+    
+    print(f"Swap Tx Sent: {tx_hash.hex()}")
+    receipt = w3.eth.wait_for_transaction_receipt(tx_hash)
+    
+    if receipt.status == 1:
+        print("Swap Successful!")
+    else:
+        print("Swap Failed!")
+        # print(receipt) # verbose
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(description="Universal Swapper for Arbitrum, Base, BSC")
+    parser.add_argument("chain", help="Chain name (ARBITRUM, BASE, BSC)")
+    parser.add_argument("token_in", help="Token to sell (e.g. USDC)")
+    parser.add_argument("token_out", help="Token to buy (e.g. WETH)")
+    parser.add_argument("amount", help="Amount to swap", type=float)
+    parser.add_argument("--fee", help="Fee tier (e.g. 500, 3000)", type=int)
+    
+    args = parser.parse_args()
+    
+    try:
+        execute_swap(args.chain, args.token_in, args.token_out, args.amount, args.fee)
+    except Exception as e:
+        print(f"Error: {e}")

gen_sim.py

@@ -0,0 +1,56 @@
+from decimal import Decimal, getcontext
+getcontext().prec = 60
+
+P_entry = Decimal('3057.65')
+capitals = [1000, 2000, 4000, 8000]
+ranges = [0.005, 0.01, 0.02, 0.04, 0.05, 0.10]
+tvl = Decimal('74530000')
+vol24h = Decimal('23270000')
+fee_tier = Decimal('0.0005')
+hl_fee_rate = Decimal('0.00045')
+
+print('# CLP Hedging Strategy Matrix (Jan 2026)')
+print('\n*Based on ETH/USDC 0.05% Arbitrum Pool Stats: TVL $74.53M, 24h Vol $23.27M.*')
+print('*Calculations include 0.045% round-trip Hyperliquid fees and concentration-adjusted Uniswap fees.*\n')
+
+for cap in capitals:
+    print(f'## Capital: ${cap} USDC')
+    print('| Range | Strategy | Hedge Size | Margin (5x) | PnL Lower | PnL Upper | Est. Fees (1h) |')
+    print('| :--- | :--- | :--- | :--- | :--- | :--- | :--- |')
+    
+    for r in ranges:
+        Pa = P_entry * (Decimal('1') - Decimal(str(r)))
+        Pb = P_entry * (Decimal('1') + Decimal(str(r)))
+        
+        L = Decimal(str(cap)) / (Decimal('2')*P_entry.sqrt() - Pa.sqrt() - P_entry/Pb.sqrt())
+        V_low = L * Pa * (Decimal('1')/Pa.sqrt() - Decimal('1')/Pb.sqrt())
+        V_high = L * (Pb.sqrt() - Pa.sqrt())
+        
+        clp_loss = Decimal(str(cap)) - V_low
+        clp_gain = V_high - Decimal(str(cap))
+        d_entry = L * (Decimal('1')/P_entry.sqrt() - Decimal('1')/Pb.sqrt())
+        
+        conc = Decimal('1') / (Decimal('1') - (Pa/Pb).sqrt())
+        fee_1h = (Decimal(str(cap)) * (vol24h / tvl) * fee_tier * conc) / Decimal('24')
+        hl_costs = Decimal(str(cap)) * hl_fee_rate
+        
+        h_nd = (clp_loss + hl_costs) / (P_entry - Pa)
+        h_nu = (clp_gain - hl_costs) / (Pb - P_entry)
+        h_f = d_entry
+        
+        for name, h in [('Neutral Down', h_nd), ('Neutral Up', h_nu), ('Fixed', h_f)]:
+            margin = (h * P_entry) / Decimal('5')
+            pnl_low = (h * (P_entry - Pa)) - clp_loss - hl_costs
+            pnl_high = (h * (P_entry - Pb)) + clp_gain - hl_costs
+            
+            r_str = f"+/- {r*100} %"
+            h_str = f"{h:.4f} ETH"
+            m_str = f"${margin:.2f}"
+            pl_str = f"{pnl_low:+.2f}"
+            ph_str = f"{pnl_high:+.2f}"
+            f_str = f"${fee_1h:.2f}"
+            
+            display_r = r_str if name == 'Neutral Down' else ''
+            display_f = f_str if name == 'Neutral Down' else ''
+            print(f'| {display_r} | {name} | {h_str} | {m_str} | {pl_str} | {ph_str} | {display_f} |')
+    print('\n')

telegram_monitor.py

@@ -42,7 +42,9 @@ console_handler.setFormatter(console_formatter)
 logger.addHandler(console_handler)
 
 # File handler
-file_handler = logging.FileHandler(os.path.join(current_dir, 'logs', 'telegram_monitor.log'), encoding='utf-8')
+from clp_config import TARGET_DEX
+
+file_handler = logging.FileHandler(os.path.join(current_dir, 'logs', f'{TARGET_DEX}_telegram_monitor.log'), encoding='utf-8')
 file_handler.setLevel(logging.INFO)
 file_handler.addFilter(UnixMsLogFilter())
 file_formatter = logging.Formatter('%(unix_ms)d, %(asctime)s - %(name)s - %(levelname)s - %(message)s')
@@ -56,9 +58,10 @@ TELEGRAM_ENABLED = os.getenv('TELEGRAM_MONITOR_ENABLED', 'False').lower() == 'tr
 TELEGRAM_BOT_TOKEN = os.getenv('TELEGRAM_BOT_TOKEN', '')
 TELEGRAM_CHAT_ID = os.getenv('TELEGRAM_CHAT_ID', '')
 TELEGRAM_CHECK_INTERVAL = int(os.getenv('TELEGRAM_CHECK_INTERVAL_SECONDS', '60'))
+from clp_config import STATUS_FILE
 TELEGRAM_STATE_FILE = os.getenv('TELEGRAM_STATE_FILE', 'telegram_monitor_state.json')
 TELEGRAM_TIMEOUT = int(os.getenv('TELEGRAM_TIMEOUT_SECONDS', '10'))
-HEDGE_STATUS_FILE = os.getenv('HEDGE_STATUS_FILE', 'hedge_status.json')
+HEDGE_STATUS_FILE = os.getenv('HEDGE_STATUS_FILE', STATUS_FILE)
 
 class TelegramNotifier:
     """Handles Telegram API communication"""

tools/analyze_pool_data.py

@@ -0,0 +1,107 @@
+import os
+import json
+import pandas as pd
+import math
+from decimal import Decimal
+from datetime import datetime, timedelta
+
+# --- SETTINGS ---
+HISTORY_FILE = os.path.join("market_data", "pool_history.csv")
+INVESTMENT_USD = 10000
+RANGE_WIDTH_PCT = 0.10  # +/- 10%
+REBALANCE_COST_PCT = 0.001 # 0.1% fee for rebalancing (swaps + gas)
+
+def tick_to_price(tick):
+    return 1.0001 ** tick
+
+def get_delta_from_pct(pct):
+    # tick_delta = log(1+pct) / log(1.0001)
+    return int(math.log(1 + pct) / math.log(1.0001))
+
+def analyze():
+    if not os.path.exists(HISTORY_FILE):
+        print("No history file found. Run pool_scanner.py first.")
+        return
+
+    df = pd.read_csv(HISTORY_FILE)
+    df['timestamp'] = pd.to_datetime(df['timestamp'])
+    
+    pools = df['pool_name'].unique()
+    
+    results = []
+
+    for pool in pools:
+        pdf = df[df['pool_name'] == pool].sort_values('timestamp').copy()
+        if len(pdf) < 2: continue
+
+        # Initial Setup
+        start_row = pdf.iloc[0]
+        curr_tick = start_row['tick']
+        
+        tick_delta = get_delta_from_pct(RANGE_WIDTH_PCT)
+        range_lower = curr_tick - tick_delta
+        range_upper = curr_tick + tick_delta
+        
+        equity = INVESTMENT_USD
+        total_fees = 0
+        rebalance_count = 0
+        
+        # We track "Fees per unit of liquidity" change
+        # FG values are X128 (shifted by 2^128)
+        Q128 = 2**128
+        
+        # Simple Proxy for USD Fees:
+        # Fee_USD = (Delta_FG0 / 10^d0 * P0_USD + Delta_FG1 / 10^d1 * P1_USD) * L
+        # Since calculating L is complex, we use a proportional approach:
+        # (New_FG - Old_FG) / Old_FG  as a growth rate of the pool's fee pool.
+        
+        for i in range(1, len(pdf)):
+            row = pdf.iloc[i]
+            prev = pdf.iloc[i-1]
+            
+            p_tick = row['tick']
+            
+            # 1. Check Range & Rebalance
+            if p_tick < range_lower or p_tick > range_upper:
+                # REBALANCE!
+                rebalance_count += 1
+                equity *= (1 - REBALANCE_COST_PCT)
+                # Reset Range
+                range_lower = p_tick - tick_delta
+                range_upper = p_tick + tick_delta
+                continue # No fees earned during the jump
+            
+            # 2. Accrue Fees (If in range)
+            # Simplified growth logic: (NewGlobal - OldGlobal) / Price_approx
+            # For a more robust version, we'd need exact L. 
+            # Here we track the delta of the raw FG counters.
+            dfg0 = int(row['feeGrowth0']) - int(prev['feeGrowth0'])
+            dfg1 = int(row['feeGrowth1']) - int(prev['feeGrowth1'])
+            
+            # Convert DFG to a USD estimate based on pool share
+            # This is a heuristic: 10k USD usually represents a specific % of pool liquidity.
+            # We assume a fixed liquidity L derived from 10k at start.
+            # L = 10000 / (sqrt(P) - sqrt(Pa)) ...
+            
+            # For this benchmark, we'll output the "Fee Growth %" 
+            # which is the most objective way to compare pools.
+            # (Calculated as: how much the global fee counter grew while you were in range)
+            
+        # Summary for Pool
+        duration = pdf.iloc[-1]['timestamp'] - pdf.iloc[0]['timestamp']
+        
+        results.append({
+            "Pool": pool,
+            "Duration": str(duration),
+            "Rebalances": rebalance_count,
+            "Final Equity (Est)": round(equity, 2),
+            "ROI %": round(((equity / INVESTMENT_USD) - 1) * 100, 4)
+        })
+
+    report = pd.DataFrame(results)
+    print("\n=== POOL PERFORMANCE REPORT ===")
+    print(report.to_string(index=False))
+    print("\nNote: ROI includes price exposure and rebalance costs.")
+
+if __name__ == "__main__":
+    analyze()

tools/calculate_market_data.py

@@ -0,0 +1,171 @@
+import json
+import time
+import requests
+import math
+import os
+from datetime import datetime
+from statistics import mean, stdev
+
+# --- Configuration ---
+COINS = ["ETH"]
+# Mapping of label to number of 1-minute periods
+PERIODS_CONFIG = {
+    "37m": 37,
+    "3h": 3 * 60,        # 180 minutes
+    "12h": 12 * 60,      # 720 minutes
+    "24h": 24 * 60       # 1440 minutes
+}
+MA_PERIODS = [33, 44, 88, 144]
+STD_DEV_MULTIPLIER = 1.6  # Standard deviation multiplier for bands
+
+OUTPUT_FILE = os.path.join("market_data", "indicators.json")
+API_URL = "https://api.hyperliquid.xyz/info"
+UPDATE_INTERVAL = 60  # seconds
+
+def fetch_candles(coin, interval="1m", lookback_minutes=1500):
+    """
+    Fetches candle data from Hyperliquid.
+    We need at least enough candles for the longest period (1440).
+    Requesting slightly more to be safe.
+    """
+    # Calculate startTime: now - (lookback_minutes * 60 * 1000)
+    # Hyperliquid expects startTime in milliseconds
+    end_time = int(time.time() * 1000)
+    start_time = end_time - (lookback_minutes * 60 * 1000)
+    
+    payload = {
+        "type": "candleSnapshot",
+        "req": {
+            "coin": coin,
+            "interval": interval,
+            "startTime": start_time,
+            "endTime": end_time
+        }
+    }
+    
+    try:
+        response = requests.post(API_URL, json=payload, timeout=10)
+        response.raise_for_status()
+        data = response.json()
+        
+        # Data format is typically a list of dicts: 
+        # {'t': 170..., 'T': 170..., 's': 'ETH', 'i': '1m', 'o': '...', 'c': '...', 'h': '...', 'l': '...', 'v': '...', 'n': ...}
+        # We need closing prices 'c'
+        candles = []
+        for c in data:
+            try:
+                # Ensure we parse 'c' (close) as float
+                candles.append(float(c['c']))
+            except (ValueError, KeyError):
+                continue
+                
+        return candles
+    except Exception as e:
+        print(f"Error fetching candles for {coin}: {e}")
+        return []
+
+def calculate_ma(prices, period):
+    """Calculates Simple Moving Average."""
+    if len(prices) < period:
+        return None
+    return mean(prices[-period:])
+
+def calculate_bb(prices, period, num_std_dev=2.0):
+    """
+    Calculates Bollinger Bands for the LAST 'period' items in prices.
+    Returns {mid, upper, lower} or None if insufficient data.
+    """
+    if len(prices) < period:
+        return None
+    
+    # Take the last 'period' prices
+    window = prices[-period:]
+    
+    try:
+        avg = mean(window)
+        # Population stdev or sample stdev? Usually sample (stdev) is used in finance or pandas default
+        if period > 1:
+            sd = stdev(window)
+        else:
+            sd = 0.0
+            
+        upper = avg + (num_std_dev * sd)
+        lower = avg - (num_std_dev * sd)
+        
+        return {
+            "mid": avg,
+            "upper": upper,
+            "lower": lower,
+            "std": sd
+        }
+    except Exception as e:
+        print(f"Error calculating BB: {e}")
+        return None
+
+def main():
+    print(f"Starting Market Data Calculator for {COINS}")
+    print(f"BB Periods: {PERIODS_CONFIG}")
+    print(f"MA Periods: {MA_PERIODS}")
+    print(f"Output: {OUTPUT_FILE}")
+    
+    # Ensure directory exists
+    os.makedirs(os.path.dirname(OUTPUT_FILE), exist_ok=True)
+    
+    while True:
+        try:
+            results = {
+                "last_updated": datetime.now().isoformat(),
+                "config": {
+                    "std_dev_multiplier": STD_DEV_MULTIPLIER,
+                    "ma_periods": MA_PERIODS
+                },
+                "data": {}
+            }
+            
+            # Find the max needed history (BB vs MA)
+            max_bb = max(PERIODS_CONFIG.values()) if PERIODS_CONFIG else 0
+            max_ma = max(MA_PERIODS) if MA_PERIODS else 0
+            fetch_limit = max(max_bb, max_ma) + 60 
+            
+            for coin in COINS:
+                print(f"Fetching data for {coin}...", end="", flush=True)
+                prices = fetch_candles(coin, lookback_minutes=fetch_limit)
+                
+                if not prices:
+                    print(" Failed.")
+                    continue
+                
+                print(f" Got {len(prices)} candles.", end="", flush=True)
+                
+                coin_results = {
+                    "current_price": prices[-1] if prices else 0,
+                    "bb": {},
+                    "ma": {}
+                }
+                
+                # Calculate BB
+                for label, period in PERIODS_CONFIG.items():
+                    bb = calculate_bb(prices, period, num_std_dev=STD_DEV_MULTIPLIER)
+                    coin_results["bb"][label] = bb if bb else "Insufficient Data"
+                
+                # Calculate MA
+                for period in MA_PERIODS:
+                    ma = calculate_ma(prices, period)
+                    coin_results["ma"][str(period)] = ma if ma else "Insufficient Data"
+                
+                results["data"][coin] = coin_results
+                print(" Done.")
+            
+            # Save to file
+            with open(OUTPUT_FILE, 'w') as f:
+                json.dump(results, f, indent=4)
+            
+            print(f"Updated {OUTPUT_FILE}")
+            
+        except Exception as e:
+            print(f"Main loop error: {e}")
+            
+        time.sleep(UPDATE_INTERVAL)
+
+if __name__ == "__main__":
+    main()

tools/pool_scanner.py

@@ -0,0 +1,192 @@
+import os
+import json
+import time
+import pandas as pd
+from decimal import Decimal
+from datetime import datetime
+from web3 import Web3
+from dotenv import load_dotenv
+
+# --- CONFIGURATION ---
+CONFIG_FILE = os.path.join(os.path.dirname(__file__), "pool_scanner_config.json")
+STATE_FILE = os.path.join("market_data", "pool_scanner_state.json")
+HISTORY_FILE = os.path.join("market_data", "pool_history.csv")
+
+load_dotenv()
+
+# RPC MAP
+RPC_MAP = {
+    "ARBITRUM": os.environ.get("MAINNET_RPC_URL"),
+    "BSC": os.environ.get("BNB_RPC_URL"),
+    "BASE": os.environ.get("BASE_RPC_URL")
+}
+
+# ABIS
+POOL_ABI = json.loads('''
+[
+    {"inputs": [], "name": "slot0", "outputs": [{"internalType": "uint160", "name": "sqrtPriceX96", "type": "uint160"}, {"internalType": "int24", "name": "tick", "type": "int24"}, {"internalType": "uint16", "name": "observationIndex", "type": "uint16"}, {"internalType": "uint16", "name": "observationCardinality", "type": "uint16"}, {"internalType": "uint16", "name": "observationCardinalityNext", "type": "uint16"}, {"internalType": "uint8", "name": "feeProtocol", "type": "uint8"}, {"internalType": "bool", "name": "unlocked", "type": "bool"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "feeGrowthGlobal0X128", "outputs": [{"internalType": "uint256", "name": "", "type": "uint256"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "feeGrowthGlobal1X128", "outputs": [{"internalType": "uint256", "name": "", "type": "uint256"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "token0", "outputs": [{"internalType": "address", "name": "", "type": "address"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "token1", "outputs": [{"internalType": "address", "name": "", "type": "address"}], "stateMutability": "view", "type": "function"}
+]
+''')
+
+# PancakeSwap V3 uses uint32 for feeProtocol
+PANCAKE_POOL_ABI = json.loads('''
+[
+    {"inputs": [], "name": "slot0", "outputs": [{"internalType": "uint160", "name": "sqrtPriceX96", "type": "uint160"}, {"internalType": "int24", "name": "tick", "type": "int24"}, {"internalType": "uint16", "name": "observationIndex", "type": "uint16"}, {"internalType": "uint16", "name": "observationCardinality", "type": "uint16"}, {"internalType": "uint16", "name": "observationCardinalityNext", "type": "uint16"}, {"internalType": "uint32", "name": "feeProtocol", "type": "uint32"}, {"internalType": "bool", "name": "unlocked", "type": "bool"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "feeGrowthGlobal0X128", "outputs": [{"internalType": "uint256", "name": "", "type": "uint256"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "feeGrowthGlobal1X128", "outputs": [{"internalType": "uint256", "name": "", "type": "uint256"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "token0", "outputs": [{"internalType": "address", "name": "", "type": "address"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "token1", "outputs": [{"internalType": "address", "name": "", "type": "address"}], "stateMutability": "view", "type": "function"}
+]
+''')
+
+AERODROME_POOL_ABI = json.loads('''
+[
+    {"inputs": [], "name": "slot0", "outputs": [{"internalType": "uint160", "name": "sqrtPriceX96", "type": "uint160"}, {"internalType": "int24", "name": "tick", "type": "int24"}, {"internalType": "uint16", "name": "observationIndex", "type": "uint16"}, {"internalType": "uint16", "name": "observationCardinality", "type": "uint16"}, {"internalType": "uint16", "name": "observationCardinalityNext", "type": "uint16"}, {"internalType": "bool", "name": "unlocked", "type": "bool"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "feeGrowthGlobal0X128", "outputs": [{"internalType": "uint256", "name": "", "type": "uint256"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "feeGrowthGlobal1X128", "outputs": [{"internalType": "uint256", "name": "", "type": "uint256"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "token0", "outputs": [{"internalType": "address", "name": "", "type": "address"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "token1", "outputs": [{"internalType": "address", "name": "", "type": "address"}], "stateMutability": "view", "type": "function"}
+]
+''')
+
+ERC20_ABI = json.loads('[{"inputs": [], "name": "decimals", "outputs": [{"internalType": "uint8", "name": "", "type": "uint8"}], "stateMutability": "view", "type": "function"}]')
+
+def get_w3(chain):
+    url = RPC_MAP.get(chain)
+    if not url: return None
+    return Web3(Web3.HTTPProvider(url))
+
+def load_state():
+    if os.path.exists(STATE_FILE):
+        with open(STATE_FILE, 'r') as f:
+            return json.load(f)
+    return {}
+
+def save_state(state):
+    os.makedirs(os.path.dirname(STATE_FILE), exist_ok=True)
+    with open(STATE_FILE, 'w') as f:
+        json.dump(state, f, indent=2)
+
+def append_history(data):
+    df = pd.DataFrame([data])
+    header = not os.path.exists(HISTORY_FILE)
+    df.to_csv(HISTORY_FILE, mode='a', header=header, index=False)
+
+def get_liquidity_for_amount(amount, sqrt_price_x96, tick_lower, tick_upper, decimal_diff):
+    # Simplified Liquidity Calc for 50/50 deposit simulation
+    # L = Amount / (sqrt(P) - sqrt(Pa)) for one side...
+    # For now, we assume simple V3 math or just track Fee Growth per Unit Liquidity
+    # Real simulation is complex. 
+    # TRICK: We will track "Fee Growth per 1 Unit of Liquidity" directly (Raw X128).
+    # Then user can multiply by their theoretical L later.
+    return 1
+
+def main():
+    print("Starting Pool Scanner...")
+    with open(CONFIG_FILE, 'r') as f:
+        pools = json.load(f)
+    
+    state = load_state()
+    
+    # Init Web3 cache
+    w3_instances = {}
+    
+    for pool in pools:
+        name = pool['name']
+        chain = pool['chain']
+        # Fix Checksum
+        try:
+            addr = Web3.to_checksum_address(pool['pool_address'])
+        except Exception:
+            print(f"  ❌ Invalid Address: {pool['pool_address']}")
+            continue
+            
+        is_aero = pool.get('is_aerodrome', False)
+        
+        print(f"Scanning {name} ({chain})...")
+        
+        if chain not in w3_instances:
+            w3_instances[chain] = get_w3(chain)
+            
+        w3 = w3_instances[chain]
+        if not w3 or not w3.is_connected():
+            print(f"  ❌ RPC Error for {chain}")
+            continue
+            
+        try:
+            if is_aero:
+                abi = AERODROME_POOL_ABI
+            elif chain == "BSC":
+                abi = PANCAKE_POOL_ABI
+            else:
+                abi = POOL_ABI
+                
+            contract = w3.eth.contract(address=addr, abi=abi)
+            
+            # Fetch Data
+            slot0 = contract.functions.slot0().call()
+            tick = slot0[1]
+            sqrt_price = slot0[0]
+            
+            fg0 = contract.functions.feeGrowthGlobal0X128().call()
+            fg1 = contract.functions.feeGrowthGlobal1X128().call()
+            
+            # Fetch Decimals (Once)
+            if name not in state:
+                t0 = contract.functions.token0().call()
+                t1 = contract.functions.token1().call()
+                d0 = w3.eth.contract(address=t0, abi=ERC20_ABI).functions.decimals().call()
+                d1 = w3.eth.contract(address=t1, abi=ERC20_ABI).functions.decimals().call()
+                state[name] = {
+                    "init_tick": tick,
+                    "init_fg0": fg0,
+                    "init_fg1": fg1,
+                    "decimals": [d0, d1],
+                    "cumulative_fees_usd": 0.0,
+                    "last_fg0": fg0,
+                    "last_fg1": fg1
+                }
+            
+            # Update State
+            prev = state[name]
+            diff0 = fg0 - prev['last_fg0']
+            diff1 = fg1 - prev['last_fg1']
+            
+            # Calculate USD Value of Fees (Approx)
+            # Need Liquidity. 
+            # If we assume 1 unit of Liquidity?
+            # Fee = Diff * L / 2^128
+            
+            # Update Last
+            prev['last_fg0'] = fg0
+            prev['last_fg1'] = fg1
+            prev['last_tick'] = tick
+            prev['last_update'] = datetime.now().isoformat()
+            
+            # Save History
+            record = {
+                "timestamp": datetime.now().isoformat(),
+                "pool_name": name,
+                "chain": chain,
+                "tick": tick,
+                "sqrtPriceX96": str(sqrt_price),
+                "feeGrowth0": str(fg0),
+                "feeGrowth1": str(fg1)
+            }
+            append_history(record)
+            print(f"  ✅ Data recorded. Tick: {tick}")
+            
+        except Exception as e:
+            print(f"  ❌ Error: {e}")
+            
+    save_state(state)
+    print("Scan complete.")
+
+if __name__ == "__main__":
+    while True:
+        main()
+        time.sleep(600) # 10 minutes

tools/record_pool_depth.py

@@ -0,0 +1,146 @@
+import os
+import time
+import csv
+import logging
+from datetime import datetime
+from decimal import Decimal, getcontext
+from web3 import Web3
+from dotenv import load_dotenv
+
+# --- CONFIGURATION ---
+POOL_ADDRESS = '0xC6962004f452bE9203591991D15f6b388e09E8D0' # ETH/USDC 0.05% Arbitrum
+INTERVAL_SECONDS = 15 * 60  # 15 minutes
+RANGE_PCT = 10.0            # Total scan range +/- 10%
+STEP_PCT = 0.1              # Resolution step 0.1%
+TVL_USD_BASELINE = Decimal('74530000') # Baseline TVL for concentration calculation
+
+# Token Details
+D0 = 18 # WETH
+D1 = 6  # USDC
+
+getcontext().prec = 60
+load_dotenv()
+
+# Setup Logging
+logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
+logger = logging.getLogger("DEPTH_MONITOR")
+
+# Ensure logs directory exists
+os.makedirs('logs', exist_ok=True)
+CSV_FILE = 'logs/pool_liquidity_depth.csv'
+
+# ABI for Uniswap V3 Pool
+POOL_ABI = [
+    {'inputs': [], 'name': 'liquidity', 'outputs': [{'internalType': 'uint128', 'name': '', 'type': 'uint128'}], 'stateMutability': 'view', 'type': 'function'},
+    {'inputs': [], 'name': 'slot0', 'outputs': [{'internalType': 'uint160', 'name': 'sqrtPriceX96', 'type': 'uint160'}, {'internalType': 'int24', 'name': 'tick', 'type': 'int24'}], 'stateMutability': 'view', 'type': 'function'},
+    {'inputs': [{'internalType': 'int24', 'name': 'tick', 'type': 'int24'}], 'name': 'ticks', 'outputs': [{'internalType': 'uint128', 'name': 'liquidityGross', 'type': 'uint128'}, {'internalType': 'int128', 'name': 'liquidityNet', 'type': 'int128'}], 'stateMutability': 'view', 'type': 'function'}
+]
+
+def get_price_from_tick(tick):
+    return (Decimal('1.0001') ** Decimal(str(tick))) * (Decimal('10') ** Decimal(str(D0 - D1)))
+
+def get_liquidity_at_offsets(pool_contract, current_tick, current_liquidity):
+    """
+    Samples liquidity at various price offsets.
+    Note: This samples initialized ticks to calculate L at specific price points.
+    """
+    results = []
+    
+    # Tick spacing for 0.05% pools is 10. 
+    # 0.1% price move is approx 10 ticks.
+    ticks_per_step = 10
+    total_steps = int(RANGE_PCT / STEP_PCT)
+    
+    # --- SCAN DOWN ---
+    l_running = Decimal(current_liquidity)
+    for i in range(1, total_steps + 1):
+        target_tick = current_tick - (i * ticks_per_step)
+        # Traverse ticks between previous and current target to update liquidity
+        for t in range(current_tick - (i-1)*ticks_per_step, target_tick - 1, -1):
+            data = pool_contract.functions.ticks(t).call()
+            if data[0] > 0: # initialized
+                l_running -= Decimal(data[1])
+        
+        offset_pct = -round(i * STEP_PCT, 2)
+        px = get_price_from_tick(target_tick)
+        results.append({'offset': offset_pct, 'price': px, 'liquidity': l_running})
+
+    # --- SCAN UP ---
+    l_running = Decimal(current_liquidity)
+    for i in range(1, total_steps + 1):
+        target_tick = current_tick + (i * ticks_per_step)
+        for t in range(current_tick + (i-1)*ticks_per_step + 1, target_tick + 1):
+            data = pool_contract.functions.ticks(t).call()
+            if data[0] > 0:
+                l_running += Decimal(data[1])
+        
+        offset_pct = round(i * STEP_PCT, 2)
+        px = get_price_from_tick(target_tick)
+        results.append({'offset': offset_pct, 'price': px, 'liquidity': l_running})
+
+    # Add center point
+    results.append({'offset': 0.0, 'price': get_price_from_tick(current_tick), 'liquidity': Decimal(current_liquidity)})
+    
+    return sorted(results, key=lambda x: x['offset'])
+
+def main():
+    rpc_url = os.environ.get('MAINNET_RPC_URL')
+    if not rpc_url:
+        logger.error("MAINNET_RPC_URL not found in .env")
+        return
+
+    w3 = Web3(Web3.HTTPProvider(rpc_url))
+    pool = w3.eth.contract(address=Web3.to_checksum_address(POOL_ADDRESS), abi=POOL_ABI)
+
+    # Initialize CSV if it doesn't exist
+    file_exists = os.path.isfile(CSV_FILE)
+    
+    logger.info(f"Starting Depth Monitor for {POOL_ADDRESS}")
+    logger.info(f"Scan Range: +/-{RANGE_PCT}% | Resolution: {STEP_PCT}% | Interval: {INTERVAL_SECONDS/60}m")
+
+    while True:
+        try:
+            # 1. Fetch State
+            l_active = pool.functions.liquidity().call()
+            s0 = pool.functions.slot0().call()
+            curr_tick = s0[1]
+            curr_price = get_price_from_tick(curr_tick)
+            
+            timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+            
+            # 2. Map Depth
+            depth_data = get_liquidity_at_offsets(pool, curr_tick, l_active)
+            
+            # 3. Calculate Concentration & Save
+            with open(CSV_FILE, 'a', newline='') as f:
+                writer = csv.writer(f)
+                if not file_exists:
+                    writer.writerow(['timestamp', 'ref_price', 'offset_pct', 'target_price', 'liquidity', 'concentration'])
+                    file_exists = True
+                
+                for row in depth_data:
+                    # L_full baseline for THIS specific price point
+                    # Corrected L_full: (TVL * 10^6) / (2 * sqrtP)
+                    # sqrtP_norm = sqrt(Price) / 10^((D0-D1)/2)
+                    sqrtP_norm = row['price'].sqrt() / (Decimal('10') ** (Decimal(str(D0 - D1)) / Decimal('2')))
+                    l_full = (TVL_USD_BASELINE * (Decimal('10')**Decimal('6'))) / (Decimal('2') * sqrtP_norm)
+                    conc = row['liquidity'] / l_full
+                    
+                    writer.writerow([
+                        timestamp, 
+                        f"{curr_price:.4f}", 
+                        row['offset'], 
+                        f"{row['price']:.4f}", 
+                        f"{row['liquidity']:.0f}", 
+                        f"{conc:.2f}"
+                    ])
+            
+            logger.info(f"Recorded depth snapshot at {curr_price:.2f}. Next in {INTERVAL_SECONDS/60}m.")
+            time.sleep(INTERVAL_SECONDS)
+
+        except Exception as e:
+            logger.error(f"Error in monitor loop: {e}")
+            time.sleep(60)
+
+if __name__ == "__main__":
+    main()

tools/universal_swapper.py

@@ -0,0 +1,349 @@
+import os
+import sys
+import json
+import argparse
+import time
+from decimal import Decimal
+from dotenv import load_dotenv
+from web3 import Web3
+
+# Load environment variables
+load_dotenv()
+
+# --- CONFIGURATION ---
+
+# ABIs
+ERC20_ABI = json.loads('''
+[
+    {"inputs": [], "name": "decimals", "outputs": [{"internalType": "uint8", "name": "", "type": "uint8"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [], "name": "symbol", "outputs": [{"internalType": "string", "name": "", "type": "string"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [{"internalType": "address", "name": "account", "type": "address"}], "name": "balanceOf", "outputs": [{"internalType": "uint256", "name": "", "type": "uint256"}], "stateMutability": "view", "type": "function"},
+    {"inputs": [{"internalType": "address", "name": "spender", "type": "address"}, {"internalType": "uint256", "name": "amount", "type": "uint256"}], "name": "approve", "outputs": [{"internalType": "bool", "name": "", "type": "bool"}], "stateMutability": "nonpayable", "type": "function"},
+    {"inputs": [{"internalType": "address", "name": "owner", "type": "address"}, {"internalType": "address", "name": "spender", "type": "address"}], "name": "allowance", "outputs": [{"internalType": "uint256", "name": "", "type": "uint256"}], "stateMutability": "view", "type": "function"}
+]
+''')
+
+WETH_ABI = json.loads('''
+[
+    {"inputs": [], "name": "deposit", "outputs": [], "stateMutability": "payable", "type": "function"},
+    {"inputs": [{"internalType": "uint256", "name": "wad", "type": "uint256"}], "name": "withdraw", "outputs": [], "stateMutability": "nonpayable", "type": "function"}
+]
+''')
+
+# SwapRouter01 (With Deadline in struct) - e.g. Arbitrum 0xE592..., BSC
+SWAP_ROUTER_01_ABI = json.loads('''
+[
+    {"inputs": [{"components": [{"internalType": "address", "name": "tokenIn", "type": "address"}, {"internalType": "address", "name": "tokenOut", "type": "address"}, {"internalType": "uint24", "name": "fee", "type": "uint24"}, {"internalType": "address", "name": "recipient", "type": "address"}, {"internalType": "uint256", "name": "deadline", "type": "uint256"}, {"internalType": "uint256", "name": "amountIn", "type": "uint256"}, {"internalType": "uint256", "name": "amountOutMinimum", "type": "uint200"}, {"internalType": "uint160", "name": "sqrtPriceLimitX96", "type": "uint160"}], "internalType": "struct ISwapRouter.ExactInputSingleParams", "name": "params", "type": "tuple"}], "name": "exactInputSingle", "outputs": [{"internalType": "uint256", "name": "amountOut", "type": "uint256"}], "stateMutability": "payable", "type": "function"}
+]
+''')
+
+# SwapRouter02 (NO Deadline in struct) - e.g. Base 0x2626...
+SWAP_ROUTER_02_ABI = json.loads('''
+[
+    {"inputs": [{"components": [{"internalType": "address", "name": "tokenIn", "type": "address"}, {"internalType": "address", "name": "tokenOut", "type": "address"}, {"internalType": "uint24", "name": "fee", "type": "uint24"}, {"internalType": "address", "name": "recipient", "type": "address"}, {"internalType": "uint256", "name": "amountIn", "type": "uint256"}, {"internalType": "uint256", "name": "amountOutMinimum", "type": "uint256"}, {"internalType": "uint160", "name": "sqrtPriceLimitX96", "type": "uint160"}], "internalType": "struct IV3SwapRouter.ExactInputSingleParams", "name": "params", "type": "tuple"}], "name": "exactInputSingle", "outputs": [{"internalType": "uint256", "name": "amountOut", "type": "uint256"}], "stateMutability": "payable", "type": "function"}
+]
+''')
+
+CHAIN_CONFIG = {
+    "ARBITRUM": {
+        "rpc_env": "MAINNET_RPC_URL", 
+        "chain_id": 42161,
+        "router": "0x68b3465833fb72A70ecDF485E0e4C7bD8665Fc45", # SwapRouter02
+        "abi_version": 2,
+        "tokens": {
+            "USDC": "0xaf88d065e77c8cC2239327C5EDb3A432268e5831",
+            "WETH": "0x82aF49447D8a07e3bd95BD0d56f35241523fBab1",
+            "ETH": "0x82aF49447D8a07e3bd95BD0d56f35241523fBab1", # Alias to WETH for wrapping
+            "CBBTC": "0xcbB7C0000aB88B473b1f5aFd9ef808440eed33Bf"
+        },
+        "default_fee": 500 
+    },
+    "BASE": {
+        "rpc_env": "BASE_RPC_URL",
+        "chain_id": 8453,
+        "router": "0x2626664c2603336E57B271c5C0b26F421741e481", # SwapRouter02
+        "abi_version": 2,
+        "tokens": {
+            "USDC": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
+            "WETH": "0x4200000000000000000000000000000000000006",
+            "ETH": "0x4200000000000000000000000000000000000006", # Alias to WETH for wrapping
+            "CBBTC": "0xcbB7C0000aB88B473b1f5aFd9ef808440eed33Bf"
+        },
+        "default_fee": 500 
+    },
+    "BASE_AERO": {
+        "rpc_env": "BASE_RPC_URL",
+        "chain_id": 8453,
+        "router": "0xbe6D8f0D397708D99755B7857067757f97174d7d", # Aerodrome Slipstream SwapRouter
+        "abi_version": 1, # Router requires deadline (Standard SwapRouter01 style)
+        "tokens": {
+            "USDC": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
+            "WETH": "0x4200000000000000000000000000000000000006",
+            "ETH": "0x4200000000000000000000000000000000000006",
+            "CBBTC": "0xcbB7C0000aB88B473b1f5aFd9ef808440eed33Bf"
+        },
+        "default_fee": 1 # TickSpacing 1 (0.01%)
+    },
+    "BSC": {
+        "rpc_env": "BNB_RPC_URL",
+        "chain_id": 56,
+        "router": "0x1b81D678ffb9C0263b24A97847620C99d213eB14", # PancakeSwap V3
+        "abi_version": 1, 
+        "tokens": {
+            "USDC": "0x8ac76a51cc950d9822d68b83fe1ad97b32cd580d",
+            "WBNB": "0xbb4CdB9CBd36B01bD1cBaEBF2De08d9173bc095c",
+            "BNB": "0xbb4CdB9CBd36B01bD1cBaEBF2De08d9173bc095c" # Alias to WBNB for wrapping
+        },
+        "default_fee": 500 
+    }
+}
+
+def get_web3(chain_name):
+    config = CHAIN_CONFIG.get(chain_name.upper())
+    if not config:
+        raise ValueError(f"Unsupported chain: {chain_name}")
+    
+    rpc_url = os.environ.get(config["rpc_env"])
+    if not rpc_url:
+        raise ValueError(f"RPC URL not found in environment for {config['rpc_env']}")
+    
+    w3 = Web3(Web3.HTTPProvider(rpc_url))
+    if not w3.is_connected():
+        raise ConnectionError(f"Failed to connect to {chain_name} RPC")
+    
+    return w3, config
+
+def approve_token(w3, token_contract, spender_address, amount, private_key, my_address):
+    """
+    Checks allowance and approves if necessary.
+    Robust gas handling.
+    """
+    allowance = token_contract.functions.allowance(my_address, spender_address).call()
+    
+    if allowance >= amount:
+        print(f"Token already approved (Allowance: {allowance})")
+        return True
+        
+    print(f"Approving token... (Current: {allowance}, Needed: {amount})")
+    
+    # Build tx base
+    tx_params = {
+        'from': my_address,
+        'nonce': w3.eth.get_transaction_count(my_address),
+    }
+
+    # Determine Gas Strategy
+    try:
+        latest_block = w3.eth.get_block('latest')
+        if 'baseFeePerGas' in latest_block:
+            # EIP-1559
+            base_fee = latest_block['baseFeePerGas']
+            priority_fee = w3.to_wei(0.1, 'gwei') # Conservative priority
+            tx_params['maxFeePerGas'] = int(base_fee * 1.5) + priority_fee
+            tx_params['maxPriorityFeePerGas'] = priority_fee
+        else:
+            # Legacy
+            tx_params['gasPrice'] = w3.eth.gas_price
+    except Exception as e:
+        print(f"Error determining gas strategy: {e}. Fallback to w3.eth.gas_price")
+        tx_params['gasPrice'] = w3.eth.gas_price
+
+    # Build transaction
+    tx = token_contract.functions.approve(spender_address, 2**256 - 1).build_transaction(tx_params)
+    
+    # Sign and send
+    signed_tx = w3.eth.account.sign_transaction(tx, private_key)
+    tx_hash = w3.eth.send_raw_transaction(signed_tx.raw_transaction)
+    print(f"Approval Tx sent: {tx_hash.hex()}")
+    
+    receipt = w3.eth.wait_for_transaction_receipt(tx_hash)
+    if receipt.status == 1:
+        print("Approval successful.")
+        return True
+    else:
+        print("Approval failed.")
+        return False
+
+def wrap_eth(w3, weth_address, amount_wei, private_key, my_address):
+    """
+    Wraps native ETH/BNB to WETH/WBNB.
+    """
+    print(f"Wrapping native token to wrapped version...")
+    weth_contract = w3.eth.contract(address=weth_address, abi=WETH_ABI)
+    
+    tx_params = {
+        'from': my_address,
+        'value': amount_wei,
+        'nonce': w3.eth.get_transaction_count(my_address),
+    }
+    
+    # Gas logic (Simplified)
+    latest_block = w3.eth.get_block('latest')
+    if 'baseFeePerGas' in latest_block:
+        base_fee = latest_block['baseFeePerGas']
+        tx_params['maxFeePerGas'] = int(base_fee * 1.5) + w3.to_wei(0.1, 'gwei')
+        tx_params['maxPriorityFeePerGas'] = w3.to_wei(0.1, 'gwei')
+    else:
+        tx_params['gasPrice'] = w3.eth.gas_price
+
+    tx = weth_contract.functions.deposit().build_transaction(tx_params)
+    signed_tx = w3.eth.account.sign_transaction(tx, private_key)
+    tx_hash = w3.eth.send_raw_transaction(signed_tx.raw_transaction)
+    print(f"Wrapping Tx sent: {tx_hash.hex()}")
+    w3.eth.wait_for_transaction_receipt(tx_hash)
+    print("Wrapping successful.")
+
+def execute_swap(chain_name, token_in_sym, token_out_sym, amount_in_readable, fee_tier=None, slippage_pct=0.5):
+    """
+    Main function to execute swap.
+    """
+    chain_name = chain_name.upper()
+    token_in_sym = token_in_sym.upper()
+    token_out_sym = token_out_sym.upper()
+    
+    w3, config = get_web3(chain_name)
+    
+    # Get private key
+    private_key = os.environ.get("MAIN_WALLET_PRIVATE_KEY")
+    if not private_key:
+        raise ValueError("MAIN_WALLET_PRIVATE_KEY not found in environment variables")
+
+    account = w3.eth.account.from_key(private_key)
+    my_address = account.address
+    print(f"Connected to {chain_name} as {my_address}")
+    
+    # Validate tokens
+    if token_in_sym not in config["tokens"]:
+        raise ValueError(f"Token {token_in_sym} not supported on {chain_name}")
+    if token_out_sym not in config["tokens"]:
+        raise ValueError(f"Token {token_out_sym} not supported on {chain_name}")
+        
+    token_in_addr = config["tokens"][token_in_sym]
+    token_out_addr = config["tokens"][token_out_sym]
+    router_addr = config["router"]
+    abi_ver = config.get("abi_version", 1)
+    
+    # Initialize Contracts
+    token_in_contract = w3.eth.contract(address=token_in_addr, abi=ERC20_ABI)
+    token_out_contract = w3.eth.contract(address=token_out_addr, abi=ERC20_ABI)
+    
+    router_abi = SWAP_ROUTER_01_ABI if abi_ver == 1 else SWAP_ROUTER_02_ABI
+    router_contract = w3.eth.contract(address=router_addr, abi=router_abi)
+    
+    # Decimals (ETH/BNB and their wrapped versions all use 18)
+    decimals_in = 18 if token_in_sym in ["ETH", "BNB"] else token_in_contract.functions.decimals().call()
+    amount_in_wei = int(Decimal(str(amount_in_readable)) * Decimal(10)**decimals_in)
+    
+    print(f"Preparing to swap {amount_in_readable} {token_in_sym} -> {token_out_sym}")
+    
+    # Handle Native Wrap
+    if token_in_sym in ["ETH", "BNB"]:
+        # Check native balance
+        native_balance = w3.eth.get_balance(my_address)
+        if native_balance < amount_in_wei:
+            raise ValueError(f"Insufficient native balance. Have {native_balance / 10**18}, need {amount_in_readable}")
+        
+        # Check if we already have enough wrapped token
+        w_balance = token_in_contract.functions.balanceOf(my_address).call()
+        if w_balance < amount_in_wei:
+            wrap_eth(w3, token_in_addr, amount_in_wei - w_balance, private_key, my_address)
+    else:
+        # Check Token Balance
+        balance = token_in_contract.functions.balanceOf(my_address).call()
+        if balance < amount_in_wei:
+            raise ValueError(f"Insufficient balance. Have {balance / 10**decimals_in} {token_in_sym}, need {amount_in_readable}")
+        
+    # Approve
+    approve_token(w3, token_in_contract, router_addr, amount_in_wei, private_key, my_address)
+    
+    # Prepare Swap Params
+    used_fee = fee_tier if fee_tier else config["default_fee"]
+    amount_out_min = 0 
+    
+    if abi_ver == 1:
+        # Router 01 (Deadline in struct)
+        params = (
+            token_in_addr,
+            token_out_addr,
+            used_fee,
+            my_address,
+            int(time.time()) + 120, # deadline
+            amount_in_wei,
+            amount_out_min,
+            0 # sqrtPriceLimitX96
+        )
+    else:
+        # Router 02 (No Deadline in struct)
+        params = (
+            token_in_addr,
+            token_out_addr,
+            used_fee,
+            my_address,
+            # No deadline here
+            amount_in_wei,
+            amount_out_min,
+            0 # sqrtPriceLimitX96
+        )
+    
+    print(f"Swapping... Fee Tier: {used_fee} | ABI: V{abi_ver}")
+    
+    # Build Tx
+    tx_build = {
+        'from': my_address,
+        'nonce': w3.eth.get_transaction_count(my_address),
+    }
+    
+    # Estimate Gas
+    try:
+        gas_estimate = router_contract.functions.exactInputSingle(params).estimate_gas(tx_build)
+        tx_build['gas'] = int(gas_estimate * 1.2)
+    except Exception as e:
+        print(f"Gas estimation failed: {e}. Using default gas limit (500k).")
+        tx_build['gas'] = 500000
+
+    # Add Gas Price (Same robust logic as approve)
+    if chain_name == "BSC":
+        tx_build['gasPrice'] = w3.eth.gas_price
+    else:
+        try:
+            latest_block = w3.eth.get_block('latest')
+            if 'baseFeePerGas' in latest_block:
+                base_fee = latest_block['baseFeePerGas']
+                priority_fee = w3.to_wei(0.1, 'gwei')
+                tx_build['maxFeePerGas'] = int(base_fee * 1.5) + priority_fee
+                tx_build['maxPriorityFeePerGas'] = priority_fee
+            else:
+                 tx_build['gasPrice'] = w3.eth.gas_price
+        except:
+             tx_build['gasPrice'] = w3.eth.gas_price
+
+    # Sign and Send
+    tx_func = router_contract.functions.exactInputSingle(params)
+    tx = tx_func.build_transaction(tx_build)
+    
+    signed_tx = w3.eth.account.sign_transaction(tx, private_key)
+    tx_hash = w3.eth.send_raw_transaction(signed_tx.raw_transaction)
+    
+    print(f"Swap Tx Sent: {tx_hash.hex()}")
+    receipt = w3.eth.wait_for_transaction_receipt(tx_hash)
+    
+    if receipt.status == 1:
+        print("Swap Successful!")
+    else:
+        print("Swap Failed!")
+        # print(receipt) # verbose
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(description="Universal Swapper for Arbitrum, Base, BSC")
+    parser.add_argument("chain", help="Chain name (ARBITRUM, BASE, BSC)")
+    parser.add_argument("token_in", help="Token to sell (e.g. USDC)")
+    parser.add_argument("token_out", help="Token to buy (e.g. WETH)")
+    parser.add_argument("amount", help="Amount to swap", type=float)
+    parser.add_argument("--fee", help="Fee tier (e.g. 500, 3000)", type=int)
+    
+    args = parser.parse_args()
+    
+    try:
+        execute_swap(args.chain, args.token_in, args.token_out, args.amount, args.fee)
+    except Exception as e:
+        print(f"Error: {e}")