diff --git a/.gitignore b/.gitignore index 9bf75c5..7a9157a 100644 --- a/.gitignore +++ b/.gitignore @@ -28,3 +28,7 @@ hedge_status.json # Temporary files *.tmp *.bak + +# Data +*.csv +florida/market_data/ diff --git a/AGENTS.md b/AGENTS.md new file mode 100644 index 0000000..ab07ebd --- /dev/null +++ b/AGENTS.md @@ -0,0 +1,54 @@ +# AGENTS.md - Repository Guidelines for Agentic Coding + +## Project Overview +This is a Python blockchain trading system for Uniswap CLP (Concentrated Liquidity Pool) management and hedging on Hyperliquid. The system consists of CLP hedgers, Uniswap managers, and KPI tracking tools. + +## Build/Lint/Test Commands +```bash +# Install dependencies +pip install -r requirements.txt + +# Run Python with type checking (recommended workflow) +python -m mypy clp_hedger.py +python -m mypy uniswap_manager.py + +# Lint with flake8 (optional) +flake8 --max-line-length=100 *.py + +# Run specific modules +python clp_hedger.py +python uniswap_manager.py +``` + +## Code Style Guidelines + +### Imports +- Standard library imports first, then third-party, then local imports +- Use `from typing import Optional, Dict, Any, List, Union` +- Import logging_utils with try/except fallback pattern + +### Types & Precision +- Use `Decimal` for all financial calculations with `getcontext().prec = 60` +- Function signatures: `def func_name(param: Type) -> ReturnType:` +- Convert to float only for SDK compatibility at the last moment + +### Naming Conventions +- Constants: `UPPER_SNAKE_CASE` +- Functions/variables: `lower_snake_case` +- Classes: `PascalCase` (rarely used) +- Loggers: `logger = logging.getLogger("MODULE_NAME")` + +### Error Handling +- Use try/except blocks for external dependencies (web3, hyperliquid, logging_utils) +- Log warnings for missing optional dependencies +- Return Decimal("0") for failed conversions, not None + +### Logging +- Use structured logging with UnixMsLogFilter for timestamp consistency +- Log to files in `logs/` directory (auto-created) +- Logger names should be uppercase: "HEDGER", "UNISWAP_MANAGER", "KPI_TRACKER" + +### Environment +- Load `.env` files from current directory with fallback +- Use absolute paths for cross-directory imports +- Append project root to `sys.path` for local modules \ No newline at end of file diff --git a/aerodrome/tools/create_agent.py b/aerodrome/tools/create_agent.py deleted file mode 100644 index dcc4e9d..0000000 --- a/aerodrome/tools/create_agent.py +++ /dev/null @@ -1,70 +0,0 @@ -import os -from eth_account import Account -from hyperliquid.exchange import Exchange -from hyperliquid.utils import constants -from dotenv import load_dotenv -from datetime import datetime, timedelta -import json - -# Load environment variables from a .env file if it exists -load_dotenv() - -def create_and_authorize_agent(): - """ - Creates and authorizes a new agent key pair using your main wallet, - following the correct SDK pattern. - """ - # --- STEP 1: Load your main wallet --- - # This is the wallet that holds the funds and has been activated on Hyperliquid. - main_wallet_private_key = os.environ.get("MAIN_WALLET_PRIVATE_KEY") - if not main_wallet_private_key: - main_wallet_private_key = input("Please enter the private key of your MAIN trading wallet: ") - - try: - main_account = Account.from_key(main_wallet_private_key) - print(f"\nโœ… Loaded main wallet: {main_account.address}") - except Exception as e: - print(f"โŒ Error: Invalid main wallet private key provided. Details: {e}") - return - - # --- STEP 2: Initialize the Exchange with your MAIN account --- - # This object is used to send the authorization transaction. - exchange = Exchange(main_account, constants.MAINNET_API_URL, account_address=main_account.address) - - # --- STEP 3: Create and approve the agent with a specific name --- - # agent name must be between 1 and 16 characters long - agent_name = "my_new_agent" - - print(f"\n๐Ÿ”— Authorizing a new agent named '{agent_name}'...") - try: - # --- FIX: Pass only the agent name string to the function --- - approve_result, agent_private_key = exchange.approve_agent(agent_name) - - if approve_result.get("status") == "ok": - # Derive the agent's public address from the key we received - agent_account = Account.from_key(agent_private_key) - - print("\n๐ŸŽ‰ SUCCESS! Agent has been authorized on-chain.") - print("="*50) - print("SAVE THESE SECURELY. This is what your bot will use.") - print(f" Name: {agent_name}") - print(f" (Agent has a default long-term validity)") - print(f"๐Ÿ”‘ Agent Private Key: {agent_private_key}") - print(f"๐Ÿ  Agent Address: {agent_account.address}") - print("="*50) - print("\nYou can now set this private key as the AGENT_PRIVATE_KEY environment variable.") - else: - print("\nโŒ ERROR: Agent authorization failed.") - print(" Response:", approve_result) - if "Vault may not perform this action" in str(approve_result): - print("\n ACTION REQUIRED: This error means your main wallet (vault) has not been activated. " - "Please go to the Hyperliquid website, connect this wallet, and make a deposit to activate it.") - - - except Exception as e: - print(f"\nAn unexpected error occurred during authorization: {e}") - - -if __name__ == "__main__": - create_and_authorize_agent() - diff --git a/aerodrome/tools/kpi_tracker.py b/aerodrome/tools/kpi_tracker.py deleted file mode 100644 index dda3f3e..0000000 --- a/aerodrome/tools/kpi_tracker.py +++ /dev/null @@ -1,134 +0,0 @@ -import os -import csv -import time -import logging -from decimal import Decimal -from typing import Dict, Optional - -# Setup Logger -logger = logging.getLogger("KPI_TRACKER") -logger.setLevel(logging.INFO) -# Basic handler if not already handled by parent -if not logger.handlers: - ch = logging.StreamHandler() - formatter = logging.Formatter('%(asctime)s - KPI - %(message)s') - ch.setFormatter(formatter) - logger.addHandler(ch) - -KPI_FILE = os.path.join(os.path.dirname(os.path.dirname(os.path.abspath(__file__))), 'logs', 'kpi_history.csv') - -def initialize_kpi_csv(): - """Creates the CSV with headers if it doesn't exist.""" - if not os.path.exists(os.path.dirname(KPI_FILE)): - os.makedirs(os.path.dirname(KPI_FILE)) - - if not os.path.exists(KPI_FILE): - with open(KPI_FILE, 'w', newline='') as f: - writer = csv.writer(f) - writer.writerow([ - "Timestamp", - "Date", - "NAV_Total_USD", - "Benchmark_HODL_USD", - "Alpha_USD", - "Uniswap_Val_USD", - "Uniswap_Fees_Claimed_USD", - "Uniswap_Fees_Unclaimed_USD", - "Hedge_Equity_USD", - "Hedge_PnL_Realized_USD", - "Hedge_Fees_Paid_USD", - "ETH_Price", - "Fee_Coverage_Ratio" - ]) - -def calculate_hodl_benchmark(initial_eth: Decimal, initial_usdc: Decimal, initial_hedge_usdc: Decimal, current_eth_price: Decimal) -> Decimal: - """Calculates value if assets were just held (Wallet Assets + Hedge Account Cash).""" - return (initial_eth * current_eth_price) + initial_usdc + initial_hedge_usdc - -def log_kpi_snapshot( - snapshot_data: Dict[str, float] -): - """ - Logs a KPI snapshot to CSV. - Expected keys in snapshot_data: - - initial_eth, initial_usdc, initial_hedge_usdc - - current_eth_price - - uniswap_pos_value_usd - - uniswap_fees_claimed_usd - - uniswap_fees_unclaimed_usd - - hedge_equity_usd - - hedge_pnl_realized_usd - - hedge_fees_paid_usd - - wallet_eth_bal, wallet_usdc_bal (Optional, for full NAV) - """ - try: - initialize_kpi_csv() - - # Convert all inputs to Decimal for precision - price = Decimal(str(snapshot_data.get('current_eth_price', 0))) - - # 1. Benchmark (HODL) - init_eth = Decimal(str(snapshot_data.get('initial_eth', 0))) - init_usdc = Decimal(str(snapshot_data.get('initial_usdc', 0))) - init_hedge = Decimal(str(snapshot_data.get('initial_hedge_usdc', 0))) - benchmark_val = calculate_hodl_benchmark(init_eth, init_usdc, init_hedge, price) - - # 2. Strategy NAV (Net Asset Value) - # NAV = Uni Pos + Uni Fees (Claimed+Unclaimed) + Hedge Equity + (Wallet Surplus - Initial Wallet Surplus?) - # For simplicity, we focus on the Strategy PnL components: - # Strategy Val = (Current Uni Pos) + (Claimed Fees) + (Unclaimed Fees) + (Hedge PnL Realized) + (Hedge Unrealized?) - # Note: Hedge Equity usually includes margin. We strictly want "Value Generated". - - uni_val = Decimal(str(snapshot_data.get('uniswap_pos_value_usd', 0))) - uni_fees_claimed = Decimal(str(snapshot_data.get('uniswap_fees_claimed_usd', 0))) - uni_fees_unclaimed = Decimal(str(snapshot_data.get('uniswap_fees_unclaimed_usd', 0))) - - # Hedge PnL (Realized + Unrealized) is better than Equity for PnL tracking, - # but Equity represents actual redeemable cash. Let's use Equity if provided, or PnL components. - hedge_equity = Decimal(str(snapshot_data.get('hedge_equity_usd', 0))) - hedge_fees = Decimal(str(snapshot_data.get('hedge_fees_paid_usd', 0))) - - # Simplified NAV for Strategy Comparison: - # We assume 'hedge_equity' is the Liquidation Value of the hedge account. - # But if we want strictly "Strategy Performance", we usually do: - # Current Value = Uni_Val + Unclaimed + Hedge_Equity - # (Assuming Hedge_Equity started at 0 or we track delta? No, usually Hedge Account has deposit). - - # Let's define NAV as Total Current Liquidation Value of Strategy Components - current_nav = uni_val + uni_fees_unclaimed + uni_fees_claimed + hedge_equity - - # Alpha - alpha = current_nav - benchmark_val - - # Coverage Ratio - total_hedge_cost = abs(hedge_fees) # + funding if available - total_uni_earnings = uni_fees_claimed + uni_fees_unclaimed - - if total_hedge_cost > 0: - coverage_ratio = total_uni_earnings / total_hedge_cost - else: - coverage_ratio = Decimal("999.0") # Infinite/Good - - # Write - with open(KPI_FILE, 'a', newline='') as f: - writer = csv.writer(f) - writer.writerow([ - int(time.time()), - time.strftime('%Y-%m-%d %H:%M:%S'), - f"{current_nav:.2f}", - f"{benchmark_val:.2f}", - f"{alpha:.2f}", - f"{uni_val:.2f}", - f"{uni_fees_claimed:.2f}", - f"{uni_fees_unclaimed:.2f}", - f"{hedge_equity:.2f}", - f"{snapshot_data.get('hedge_pnl_realized_usd', 0):.2f}", - f"{hedge_fees:.2f}", - f"{price:.2f}", - f"{coverage_ratio:.2f}" - ]) - - logger.info(f"๐Ÿ“Š KPI Logged | NAV: ${current_nav:.2f} | Benchmark: ${benchmark_val:.2f} | Alpha: ${alpha:.2f}") - - except Exception as e: - logger.error(f"Failed to log KPI: {e}") diff --git a/clp_config.py b/clp_config.py index a2a41fa..a4807ee 100644 --- a/clp_config.py +++ b/clp_config.py @@ -3,74 +3,137 @@ from decimal import Decimal # --- GLOBAL SETTINGS --- # Use environment variables to switch profiles -# Example: TARGET_DEX="UNISWAP_V3" TARGET_DEX = os.environ.get("TARGET_DEX", "UNISWAP_V3") -STATUS_FILE = os.environ.get("STATUS_FILE", "hedge_status.json") +STATUS_FILE = os.environ.get("STATUS_FILE", f"{TARGET_DEX}_status.json") -# --- DEX PROFILES --- -DEX_PROFILES = { +# --- DEFAULT STRATEGY --- +DEFAULT_STRATEGY = { + "MONITOR_INTERVAL_SECONDS": 60, # How often the Manager checks for range status + "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 + + # Investment Settings + "TARGET_INVESTMENT_AMOUNT": 2000, # Total USD value to deploy into the LP position + "INITIAL_HEDGE_CAPITAL": 1000, # Capital reserved on Hyperliquid for hedging + "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) + "SLIPPAGE_TOLERANCE": Decimal("0.02"), # Max allowed slippage for swaps and minting + "TRANSACTION_TIMEOUT_SECONDS": 30, # Timeout for blockchain transactions + + # Hedging Settings + "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%) + "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 + "MAX_HEDGE_MULTIPLIER": Decimal("1.25"), # Max allowed hedge size relative to calculated target + "BASE_REBALANCE_THRESHOLD_PCT": Decimal("0.25"), # Base tolerance for delta drift (20%) + "EDGE_PROXIMITY_PCT": Decimal("0.04"), # Distance to range edge where protection activates + "VELOCITY_THRESHOLD_PCT": Decimal("0.0005"), # Minimum price velocity to trigger volatility logic + "POSITION_OPEN_EDGE_PROXIMITY_PCT": Decimal("0.06"), # Safety margin when opening new positions + "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 + "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) + "FISHING_ORDER_SIZE_PCT": Decimal("0.10"), # Size of individual fishing orders + "FISHING_TIMEOUT_FALLBACK": 30, # Seconds before converting fishing order to taker + + # EAC (Enhanced Asymmetric Compensation) + "EAC_NARROW_RANGE_THRESHOLD": Decimal("0.02"), # <2% = narrow + "EAC_MEDIUM_RANGE_THRESHOLD": Decimal("0.05"), # <5% = medium + "EAC_NARROW_BOOST": Decimal("0.15"), # 15% boost + "EAC_MEDIUM_BOOST": Decimal("0.10"), # 10% boost + "EAC_WIDE_BOOST": Decimal("0.075"), # 7.5% boost +} + +# --- CLP PROFILES --- +CLP_PROFILES = { "UNISWAP_V3": { - "NAME": "Uniswap V3 (Arbitrum)", - "COIN_SYMBOL": "ETH", # Asset to hedge on Hyperliquid - "RPC_ENV_VAR": "MAINNET_RPC_URL", # Env var to read RPC from + "NAME": "Uniswap V3 (Arbitrum) - ETH/USDC", + "COIN_SYMBOL": "ETH", + "RPC_ENV_VAR": "MAINNET_RPC_URL", "NPM_ADDRESS": "0xC36442b4a4522E871399CD717aBDD847Ab11FE88", "ROUTER_ADDRESS": "0xE592427A0AEce92De3Edee1F18E0157C05861564", - "WETH_ADDRESS": "0x82aF49447D8a07e3bd95BD0d56f35241523fBab1", # WETH - "USDC_ADDRESS": "0xaf88d065e77c8cC2239327C5EDb3A432268e5831", # USDC - "POOL_FEE": 500, # 0.05% - }, - "PANCAKESWAP_V3": { - "NAME": "PancakeSwap V3 (Arbitrum)", - "COIN_SYMBOL": "ETH", - "RPC_ENV_VAR": "MAINNET_RPC_URL", - "NPM_ADDRESS": "0x46A15B0b27311cedF172AB29E4f4766fbE7F4364", - "ROUTER_ADDRESS": "0x1b81D678ffb9C0263b24A97847620C99d213eB14", - "WETH_ADDRESS": "0x82aF49447D8a07e3bd95BD0d56f35241523fBab1", - "USDC_ADDRESS": "0xaf88d065e77c8cC2239327C5EDb3A432268e5831", + "TOKEN_A_ADDRESS": "0x82aF49447D8a07e3bd95BD0d56f35241523fBab1", # WETH + "TOKEN_B_ADDRESS": "0xaf88d065e77c8cC2239327C5EDb3A432268e5831", # USDC + "WRAPPED_NATIVE_ADDRESS": "0x82aF49447D8a07e3bd95BD0d56f35241523fBab1", "POOL_FEE": 500, }, - "UNISWAP_BNB": { - "NAME": "Uniswap V3 (BNB Chain)", - "COIN_SYMBOL": "BNB", # Hedge BNB - "RPC_ENV_VAR": "BNB_RPC_URL", # Needs a BSC RPC - # Uniswap V3 Official Addresses on BNB Chain - "NPM_ADDRESS": "0x7b8A01B39D58278b5DE7e48c8449c9f4F5170613", - "ROUTER_ADDRESS": "0xB971eF87ede563556b2ED4b1C0b0019111Dd35d2", - # Pool: 0x47a90a2d92a8367a91efa1906bfc8c1e05bf10c4 - # Tokens: WBNB / USDT - "WETH_ADDRESS": "0xbb4CdB9CBd36B01bD1cBaEBF2De08d9173bc095c", # WBNB - "USDC_ADDRESS": "0x55d398326f99059fF775485246999027B3197955", # USDT (BSC) - "POOL_FEE": 500, # 0.05% + "UNISWAP_wide": { + "NAME": "Uniswap V3 (Arbitrum) - ETH/USDC Wide", + "COIN_SYMBOL": "ETH", + "RPC_ENV_VAR": "MAINNET_RPC_URL", + "NPM_ADDRESS": "0xC36442b4a4522E871399CD717aBDD847Ab11FE88", + "ROUTER_ADDRESS": "0xE592427A0AEce92De3Edee1F18E0157C05861564", + "TOKEN_A_ADDRESS": "0x82aF49447D8a07e3bd95BD0d56f35241523fBab1", # WETH + "TOKEN_B_ADDRESS": "0xaf88d065e77c8cC2239327C5EDb3A432268e5831", # USDC + "WRAPPED_NATIVE_ADDRESS": "0x82aF49447D8a07e3bd95BD0d56f35241523fBab1", + "POOL_FEE": 500, + "RANGE_WIDTH_PCT": Decimal("0.05"), + "TARGET_INVESTMENT_AMOUNT": 2000, + "MIN_HEDGE_THRESHOLD": Decimal("0.01"), + "BASE_REBALANCE_THRESHOLD_PCT": Decimal("0.15"), }, "PANCAKESWAP_BNB": { - "NAME": "PancakeSwap V3 (BNB Chain)", + "NAME": "PancakeSwap V3 (BNB Chain) - BNB/USDT", "COIN_SYMBOL": "BNB", "RPC_ENV_VAR": "BNB_RPC_URL", "NPM_ADDRESS": "0x46A15B0b27311cedF172AB29E4f4766fbE7F4364", - "ROUTER_ADDRESS": "0x1b81D678ffb9C0263b24A97847620C99d213eB14", # Smart Router - # Pool: 0x172fcD41E0913e95784454622d1c3724f546f849 (USDT/WBNB) - "WETH_ADDRESS": "0xbb4CdB9CBd36B01bD1cBaEBF2De08d9173bc095c", # WBNB - "USDC_ADDRESS": "0x55d398326f99059fF775485246999027B3197955", # USDT + "ROUTER_ADDRESS": "0x1b81D678ffb9C0263b24A97847620C99d213eB14", + "TOKEN_A_ADDRESS": "0xbb4CdB9CBd36B01bD1cBaEBF2De08d9173bc095c", # WBNB + "TOKEN_B_ADDRESS": "0x55d398326f99059fF775485246999027B3197955", # USDT + "WRAPPED_NATIVE_ADDRESS": "0xbb4CdB9CBd36B01bD1cBaEBF2De08d9173bc095c", "POOL_FEE": 100, + "RANGE_WIDTH_PCT": Decimal("0.004"), + "TARGET_INVESTMENT_AMOUNT": 1000, + "MIN_HEDGE_THRESHOLD": Decimal("0.015"), + "BASE_REBALANCE_THRESHOLD_PCT": Decimal("0.10"), + "EDGE_PROXIMITY_PCT": Decimal("0.015"), + "DYNAMIC_THRESHOLD_MULTIPLIER": Decimal("1.1"), + "MIN_TIME_BETWEEN_TRADES": 20, + "ENABLE_FISHING": False, + "FISHING_ORDER_SIZE_PCT": Decimal("0.05"), + "MAKER_ORDER_TIMEOUT": 180, + "FISHING_TIMEOUT_FALLBACK": 60, + }, + "WETH_CBBTC_BASE": { + "NAME": "Aerodrome/Uni (Base) - WETH/cbBTC", + "COIN_SYMBOL": "ETH", + "RPC_ENV_VAR": "BASE_RPC_URL", + "NPM_ADDRESS": "0x0000000000000000000000000000000000000000", # Placeholder + "ROUTER_ADDRESS": "0x0000000000000000000000000000000000000000", # Placeholder + "TOKEN_A_ADDRESS": "0x4200000000000000000000000000000000000006", # WETH (Base) + "TOKEN_B_ADDRESS": "0xcbB7C915AB58735a1391B9fE18541b4d8926D412", # cbBTC (Base) + "WRAPPED_NATIVE_ADDRESS": "0x4200000000000000000000000000000000000006", + "POOL_FEE": 3000, + "TARGET_INVESTMENT_AMOUNT": 200, + "VALUE_REFERENCE": "USD", + "RANGE_WIDTH_PCT": Decimal("0.10") } } -# --- STRATEGY SETTINGS --- -MONITOR_INTERVAL_SECONDS = 60 -CLOSE_POSITION_ENABLED = True -OPEN_POSITION_ENABLED = True -REBALANCE_ON_CLOSE_BELOW_RANGE = True - -TARGET_INVESTMENT_VALUE_USDC = 2000 -INITIAL_HEDGE_CAPITAL_USDC = 1000 - -RANGE_WIDTH_PCT = Decimal("0.05") # +/- 5% -SLIPPAGE_TOLERANCE = Decimal("0.02") # 2% -TRANSACTION_TIMEOUT_SECONDS = 30 - # --- HELPER TO GET ACTIVE CONFIG --- def get_current_config(): - conf = DEX_PROFILES.get(TARGET_DEX) - if not conf: - raise ValueError(f"Unknown DEX profile: {TARGET_DEX}") - return conf \ No newline at end of file + profile = CLP_PROFILES.get(TARGET_DEX) + if not profile: + raise ValueError(f"Unknown CLP profile: {TARGET_DEX}") + + # Merge Default Strategy with Profile (Profile wins) + config = DEFAULT_STRATEGY.copy() + config.update(profile) + + return config diff --git a/clp_hedger.py b/clp_hedger.py index 3094252..f83c4cc 100644 --- a/clp_hedger.py +++ b/clp_hedger.py @@ -3,6 +3,7 @@ import time import logging import sys import json +import glob import math from decimal import Decimal, getcontext, ROUND_DOWN from typing import Optional, Dict, Any, List, Union @@ -26,6 +27,7 @@ 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 # Load environment variables dotenv_path = os.path.join(current_dir, '.env') @@ -43,7 +45,7 @@ class UnixMsLogFilter(logging.Filter): return True # Configure Logging -logger = logging.getLogger("HEDGER") +logger = logging.getLogger("CLP_HEDGER") logger.setLevel(logging.INFO) logger.propagate = False # Prevent double logging from root logger logger.handlers.clear() # Clear existing handlers to prevent duplicates @@ -51,7 +53,7 @@ logger.handlers.clear() # Clear existing handlers to prevent duplicates # Console Handler console_handler = logging.StreamHandler(sys.stdout) console_handler.setLevel(logging.INFO) -console_fmt = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s') +console_fmt = logging.Formatter('%(asctime)s - %(message)s') console_handler.setFormatter(console_fmt) logger.addHandler(console_handler) @@ -60,61 +62,15 @@ log_file = os.path.join(log_dir, 'clp_hedger.log') file_handler = logging.FileHandler(log_file, encoding='utf-8') file_handler.setLevel(logging.INFO) file_handler.addFilter(UnixMsLogFilter()) -file_fmt = logging.Formatter('%(unix_ms)d, %(asctime)s - %(name)s - %(levelname)s - %(message)s') +file_fmt = logging.Formatter('%(unix_ms)d, %(asctime)s - %(message)s') file_handler.setFormatter(file_fmt) logger.addHandler(file_handler) # --- DECIMAL PRECISION CONFIGURATION --- getcontext().prec = 50 -from clp_config import get_current_config, STATUS_FILE - -# --- GET ACTIVE DEX CONFIG --- -CONFIG = get_current_config() - # --- CONFIGURATION --- -COIN_SYMBOL = CONFIG["COIN_SYMBOL"] -CHECK_INTERVAL = 1 -LEVERAGE = 5 - -# Strategy Zones -ZONE_BOTTOM_HEDGE_LIMIT = Decimal("1.0") -ZONE_CLOSE_START = Decimal("10.0") -ZONE_CLOSE_END = Decimal("11.0") -ZONE_TOP_HEDGE_START = Decimal("10.0") - -# Order Settings -PRICE_BUFFER_PCT = Decimal("0.0015") # 0.15% -MIN_THRESHOLD_ETH = Decimal("0.008") # ~$24 @ 3k -MIN_ORDER_VALUE_USD = Decimal("10.0") - -# Capital Safety -DYNAMIC_THRESHOLD_MULTIPLIER = Decimal("1.2") -MIN_TIME_BETWEEN_TRADES = 60 -MAX_HEDGE_MULTIPLIER = Decimal("1.25") -# Rebalance Threshold (Base) -# Adjust this based on expected volatility: -# - Low Volatility (Weekend/Chop): 0.08 - 0.10 (8-10%) to reduce churn -# - High Volatility (Events): 0.05 (5%) to track price closely -BASE_REBALANCE_THRESHOLD_PCT = Decimal("0.09") # 9% - -# Edge Protection -EDGE_PROXIMITY_PCT = Decimal("0.04") -VELOCITY_THRESHOLD_PCT = Decimal("0.0005") -POSITION_OPEN_EDGE_PROXIMITY_PCT = Decimal("0.06") -POSITION_CLOSED_EDGE_PROXIMITY_PCT = Decimal("0.025") -LARGE_HEDGE_MULTIPLIER = Decimal("2.8") - -# Edge Cleanup Settings -ENABLE_EDGE_CLEANUP = True -EDGE_CLEANUP_MARGIN_PCT = Decimal("0.02") # 2% of range width - -# Fishing Order (Maker "Fishing" at Entry Price) -ENABLE_FISHING = True -FISHING_ORDER_SIZE_PCT = Decimal("0.10") # 10% of hedge size - -MAKER_ORDER_TIMEOUT = 600 -SHADOW_ORDER_TIMEOUT = 600 +# Settings are loaded from clp_config.py into self.coin_configs # --- HELPER FUNCTIONS --- @@ -157,54 +113,10 @@ def validate_trade_size(size: Decimal, sz_decimals: int, min_order_value: Decima return round_to_sz_decimals_precise(size, sz_decimals) -# --- STATE MANAGEMENT --- - -def get_active_automatic_position() -> Optional[Dict]: - if not os.path.exists(STATUS_FILE): - return None +def update_position_stats(file_path: str, token_id: int, stats_data: Dict): + if not os.path.exists(file_path): return try: - with open(STATUS_FILE, 'r') as f: - data = json.load(f) - # Expecting a list of positions - if isinstance(data, list): - for entry in data: - if entry.get('type') == 'AUTOMATIC' and entry.get('status') in ['OPEN', 'PENDING_HEDGE', 'CLOSING']: - return entry - # Fallback if single dict (legacy) - elif isinstance(data, dict): - if data.get('type') == 'AUTOMATIC' and data.get('status') in ['OPEN', 'PENDING_HEDGE', 'CLOSING']: - return data - except Exception as e: - logger.error(f"ERROR reading status file: {e}") - return None - -def update_position_zones_in_json(token_id: int, zones_data: Dict): - if not os.path.exists(STATUS_FILE): return - try: - with open(STATUS_FILE, 'r') as f: - data = json.load(f) - - # Ensure list - if isinstance(data, dict): data = [data] - - updated = False - for entry in data: - if entry.get('token_id') == token_id: - entry.update(zones_data) - updated = True - break - - if updated: - with open(STATUS_FILE, 'w') as f: - json.dump(data, f, indent=2) - logger.info(f"Updated JSON zones for Position {token_id}") - except Exception as e: - logger.error(f"Error updating JSON zones: {e}") - -def update_position_stats(token_id: int, stats_data: Dict): - if not os.path.exists(STATUS_FILE): return - try: - with open(STATUS_FILE, 'r') as f: + with open(file_path, 'r') as f: data = json.load(f) if isinstance(data, dict): data = [data] @@ -217,17 +129,17 @@ def update_position_stats(token_id: int, stats_data: Dict): break if updated: - with open(STATUS_FILE, 'w') as f: + with open(file_path, 'w') as f: json.dump(data, f, indent=2) except Exception as e: - logger.error(f"Error updating JSON stats: {e}") + logger.error(f"Error updating JSON stats in {file_path}: {e}") # --- STRATEGY CLASS --- class HyperliquidStrategy: def __init__(self, entry_amount0: Decimal, entry_amount1: Decimal, target_value: Decimal, entry_price: Decimal, low_range: Decimal, high_range: Decimal, start_price: Decimal, - liquidity: int = 0): + liquidity: int = 0, liquidity_scale: Decimal = Decimal("1e-12")): self.entry_amount0 = entry_amount0 self.entry_amount1 = entry_amount1 self.target_value = target_value @@ -243,50 +155,34 @@ class HyperliquidStrategy: # Priority: Use exact Liquidity from Contract if available if liquidity > 0: - # Scale raw liquidity (uint128) to human liquidity - # Formula: L_human = L_raw * 10^(-(d0+d1)/2) - # For ETH(18) / USDC(6) -> 10^(-12) - scale = Decimal("1e-12") - self.L = Decimal(liquidity) * scale - + self.L = Decimal(liquidity) * liquidity_scale # Calculate implied delta at entry for verification implied_delta = self.get_pool_delta(entry_price) - logger.info(f"Using Exact Liquidity: {self.L:.4f} (Raw: {liquidity}) -> Implied Delta: {implied_delta:.4f} ETH") + # Log removed to reduce spam in unified logger + # logger.info(f"Using Exact Liquidity: {self.L:.4f} (Raw: {liquidity}, Scale: {liquidity_scale})") else: try: sqrt_P = entry_price.sqrt() sqrt_Pa = low_range.sqrt() sqrt_Pb = high_range.sqrt() - # Method 1: Amount0 (WETH) if entry_amount0 > 0: - # Assuming amount0 is already in standard units (ETH) from JSON denom0 = (Decimal("1") / sqrt_P) - (Decimal("1") / sqrt_Pb) if denom0 > Decimal("1e-10"): self.L = entry_amount0 / denom0 - logger.info(f"Calculated L from Amount0: {self.L:.4f}") - # Method 2: Amount1 (USDC) if self.L == 0 and entry_amount1 > 0: denom1 = sqrt_P - sqrt_Pa if denom1 > Decimal("1e-10"): self.L = entry_amount1 / denom1 - logger.info(f"Calculated L from Amount1: {self.L:.4f}") - # Method 3: Target Value Heuristic if self.L == 0: - logger.warning("Amounts missing. Using Target Value Heuristic.") max_eth = target_value / low_range denom_h = (Decimal("1") / sqrt_Pa) - (Decimal("1") / sqrt_Pb) if denom_h > 0: self.L = max_eth / denom_h - logger.info(f"Calculated L from Target Value: {self.L:.4f}") - else: - logger.error("Critical: Invalid Range for L calculation") - except Exception as e: logger.error(f"Error calculating liquidity: {e}") - sys.exit(1) def get_pool_delta(self, current_price: Decimal) -> Decimal: if current_price >= self.high_range: @@ -299,29 +195,40 @@ class HyperliquidStrategy: sqrt_P = current_price.sqrt() sqrt_Pb = self.high_range.sqrt() - return self.L * ((Decimal("1")/sqrt_P) - (Decimal("1")/sqrt_Pb)) + return self.L * (sqrt_Pb - sqrt_P) / (sqrt_P * sqrt_Pb) + + def get_compensation_boost(self) -> Decimal: + if self.low_range <= 0: return Decimal("0.075") + range_width_pct = (self.high_range - self.low_range) / self.low_range + + # Use default strategy values if not available in instance context, + # but typically these are constant. For now hardcode per plan or use safe defaults. + # Since this is inside Strategy which doesn't know about global config easily, + # we'll implement the logic defined in the plan directly. + + if range_width_pct < Decimal("0.02"): # <2% range + return Decimal("0.15") # Double protection for narrow ranges + elif range_width_pct < Decimal("0.05"): # <5% range + return Decimal("0.10") # Moderate for medium ranges + else: # >=5% range + return Decimal("0.075") # Standard for wide ranges def calculate_rebalance(self, current_price: Decimal, current_short_size: Decimal) -> Dict: + # Note: current_short_size here is virtual (just for this specific strategy), + # but the unified hedger will use the 'target_short' output primarily. + pool_delta = self.get_pool_delta(current_price) - # --- ASYMMETRIC COMPENSATION (0.35% Leakage Fix) --- - # Over-hedge on drops, Under-hedge on rises to offset execution friction. - # Max adjustment at edges: 7.5% + # --- ASYMMETRIC COMPENSATION --- adj_pct = Decimal("0.0") range_width = self.high_range - self.low_range if range_width > 0: - # Distance from entry price dist = current_price - self.entry_price - # Normalize to range half-width (approx) half_width = range_width / Decimal("2") norm_dist = dist / half_width - - # Adjustment: -7.5% at +1.0 (High), +7.5% at -1.0 (Low) - max_boost = Decimal("0.075") + max_boost = self.get_compensation_boost() adj_pct = -norm_dist * max_boost - - # Safety Cap adj_pct = max(-max_boost, min(max_boost, adj_pct)) raw_target_short = pool_delta @@ -339,9 +246,9 @@ class HyperliquidStrategy: "adj_pct": adj_pct } -# --- MAIN HEDGER CLASS --- +# --- UNIFIED HEDGER CLASS --- -class ScalperHedger: +class UnifiedHedger: def __init__(self): self.private_key = os.environ.get("HEDGER_PRIVATE_KEY") self.vault_address = os.environ.get("MAIN_WALLET_ADDRESS") @@ -354,180 +261,41 @@ class ScalperHedger: self.info = Info(constants.MAINNET_API_URL, skip_ws=True) self.exchange = Exchange(self.account, constants.MAINNET_API_URL, account_address=self.vault_address) - # Set Leverage - try: - logger.info(f"Setting leverage to {LEVERAGE}x (Cross)...") - self.exchange.update_leverage(LEVERAGE, COIN_SYMBOL, is_cross=True) - except Exception as e: - logger.error(f"Failed to update leverage: {e}") - - self.strategy: Optional[HyperliquidStrategy] = None - self.sz_decimals = self._get_sz_decimals(COIN_SYMBOL) - self.active_position_id = None + # Maps (file_path, token_id) -> Strategy Instance + self.strategies: Dict[tuple, HyperliquidStrategy] = {} + # Maps (file_path, token_id) -> State Data (accumulated pnl etc) + self.strategy_states: Dict[tuple, Dict] = {} - # Safety & State - self.last_price: Optional[Decimal] = None - self.last_trade_time = 0 - - # Velocity Tracking - self.last_price_for_velocity: Optional[Decimal] = None - self.price_history: List[Decimal] = [] - self.velocity_history: List[Decimal] = [] - - # PnL Tracking - self.strategy_start_time = 0 - self.last_pnl_check_time = 0 - self.trade_history_seen = set() - self.accumulated_pnl = Decimal("0.0") - self.accumulated_fees = Decimal("0.0") - - # Logging Rate Limiting - self.last_idle_log_time = 0 - self.last_pending_log_time = 0 + # Unified State + self.coin_configs: Dict[str, Dict] = {} # Symbol -> Config (thresholds, decimals) + self.active_coins = set() self.api_backoff_until = 0 - # Order Tracking - self.original_order_side = None - self.shadow_orders = [] # Store theoretical Maker orders for analysis - self.fishing_oid = None # Track the resting "fishing" order - - logger.info(f"[DELTA] Delta-Zero Scalper Hedger initialized. Agent: {self.account.address}") - - def calculate_volatility(self) -> Decimal: - """ - Calculate volatility (Standard Deviation %) of price history. - Uses standard deviation of the last N prices relative to the mean. - Returns: Decimal percentage (e.g., 0.001 = 0.1% volatility) - """ - if not self.price_history or len(self.price_history) < 30: - return Decimal("0.0") + # Market Data Cache + self.last_prices = {} + self.price_history = {} # Symbol -> List[Decimal] + self.last_trade_times = {} # Symbol -> timestamp - try: - # 1. Mean - n = len(self.price_history) - mean = sum(self.price_history) / n - - # 2. Variance (Sum of squared diffs) - variance = sum([pow(p - mean, 2) for p in self.price_history]) / n - - # 3. Std Dev - std_dev = variance.sqrt() - - # 4. Volatility % - if mean == 0: return Decimal("0.0") - return std_dev / mean - - except Exception as e: - logger.error(f"Error calculating volatility: {e}") - return Decimal("0.0") - - def get_dynamic_edge_proximity(self, price: Decimal) -> Decimal: - """ - Calculate dynamic edge proximity based on position value. - Larger positions need earlier warning (wider buffer). - Base: 4%. Scale: +4% per $10k value. Cap: 15%. - """ - base_pct = Decimal("0.04") + # Shadow Orders (Global List) + self.shadow_orders = [] - # Estimate Position Value (Use Target Value as proxy for total risk) - # If strategy not ready, fallback to 0 - val_usd = self.strategy.target_value if self.strategy else Decimal("0") - - # Fallback to current hedge value if target not set - if val_usd == 0 and self.last_price: - pos = self.get_current_position(COIN_SYMBOL) - val_usd = abs(pos['size']) * self.last_price + self.startup_time = time.time() - # Scaling: +0.04 (4%) for every 10,000 USD - # Factor = 0.04 / 10000 = 0.000004 - scaling_factor = Decimal("0.000004") - - add_pct = val_usd * scaling_factor - - total = base_pct + add_pct - - # Cap at 15% (0.15) and Min at 4% (0.04) - return max(base_pct, min(Decimal("0.15"), total)) + logger.info(f"[CLP_HEDGER] Master Hedger initialized. Agent: {self.account.address}") + self._init_coin_configs() - def _init_strategy(self, position_data: Dict): - try: - entry_amount0 = to_decimal(position_data.get('amount0_initial', 0)) - entry_amount1 = to_decimal(position_data.get('amount1_initial', 0)) - target_value = to_decimal(position_data.get('target_value', 50)) - - entry_price = to_decimal(position_data['entry_price']) - lower = to_decimal(position_data['range_lower']) - upper = to_decimal(position_data['range_upper']) - - liquidity_val = int(position_data.get('liquidity', 0)) - - start_price = self.get_market_price(COIN_SYMBOL) - if start_price is None: - logger.warning("Waiting for initial price to start strategy...") - return - - self.strategy = HyperliquidStrategy( - entry_amount0=entry_amount0, - entry_amount1=entry_amount1, - target_value=target_value, - entry_price=entry_price, - low_range=lower, - high_range=upper, - start_price=start_price, - liquidity=liquidity_val - ) - - # Reset State - self.last_price = start_price - self.last_trade_time = 0 - self.price_history = [start_price] - - self.strategy_start_time = int(time.time() * 1000) - self.trade_history_seen = set() - - # Resume PnL from file if available, otherwise 0.0 - self.accumulated_pnl = to_decimal(position_data.get('hedge_pnl_realized', 0.0)) - self.accumulated_fees = to_decimal(position_data.get('hedge_fees_paid', 0.0)) - - self.active_position_id = position_data['token_id'] - - # --- Capture Initial Capital --- - if 'initial_hedge_usdc' not in position_data: - try: - # Priority: Env Var (Manual Override) -> Account Equity (Automatic) - env_initial = os.environ.get("INITIAL_HEDGE_CAPITAL_USDC") - if env_initial: - start_equity = to_decimal(env_initial) - logger.info(f"Using Configured Initial Hedge Capital: ${start_equity:.2f}") - else: - current_pos = self.get_current_position(COIN_SYMBOL) - start_equity = current_pos['equity'] - logger.info(f"Recorded Initial Hedge Capital (Equity): ${start_equity:.2f}") - - if start_equity > 0: - update_position_stats(self.active_position_id, { - "initial_hedge_usdc": float(start_equity) - }) - except Exception as e: - logger.warning(f"Failed to record initial capital: {e}") - - logger.info(f"[DELTA] Strat Init: Pos {self.active_position_id} | Range: {lower}-{upper} | Entry: {entry_price} | Start Px: {start_price:.2f} | Resumed PnL: {self.accumulated_pnl:.2f}") - - # --- Adopt Orphaned Fishing Order --- - # Check if there is already an order at the entry price and adopt it - open_orders = self.get_open_orders() - for o in open_orders: - if o['coin'] == COIN_SYMBOL: - # Check if price matches entry_price (with small tolerance) - o_px = to_decimal(o['limitPx']) - if abs(o_px - entry_price) / entry_price < Decimal("0.0001"): - logger.info(f"[FISHING] Adopted existing fishing order {o['oid']} @ {o_px}") - self.fishing_oid = o['oid'] - break - - except Exception as e: - logger.error(f"Failed to init strategy: {e}") - self.strategy = None + def _init_coin_configs(self): + """Pre-load configuration for known coins from CLP_PROFILES.""" + for profile_key, profile_data in CLP_PROFILES.items(): + symbol = profile_data.get("COIN_SYMBOL") + if symbol: + if symbol not in self.coin_configs: + # Init with Defaults + self.coin_configs[symbol] = DEFAULT_STRATEGY.copy() + self.coin_configs[symbol]["sz_decimals"] = 4 # Will be updated by API + + # Update with Profile Specifics + self.coin_configs[symbol].update(profile_data) def _get_sz_decimals(self, coin: str) -> int: try: @@ -538,111 +306,194 @@ class ScalperHedger: return 4 except: return 4 - def get_market_price(self, coin: str) -> Optional[Decimal]: + def update_coin_decimals(self): try: - mids = self.info.all_mids() - if coin in mids: - return to_decimal(mids[coin]) - except: pass - return None + meta = self.info.meta() + for asset in meta["universe"]: + coin = asset["name"] + if coin in self.coin_configs: + self.coin_configs[coin]["sz_decimals"] = asset["szDecimals"] + elif coin in self.active_coins: + self.coin_configs[coin] = DEFAULT_STRATEGY.copy() + self.coin_configs[coin]["sz_decimals"] = asset["szDecimals"] + except Exception as e: + logger.error(f"Failed to update coin decimals: {e}") + + def calculate_volatility(self, coin: str) -> Decimal: + history = self.price_history.get(coin, []) + if not history or len(history) < 30: + return Decimal("0.0") + try: + n = len(history) + mean = sum(history) / n + variance = sum([pow(p - mean, 2) for p in history]) / n + std_dev = variance.sqrt() + if mean == 0: return Decimal("0.0") + return std_dev / mean + except: return Decimal("0.0") + + def check_shadow_orders(self, l2_snapshots: Dict): + """Check if pending shadow (theoretical Maker) orders would have been filled.""" + if not self.shadow_orders: return - def get_order_book_levels(self, coin: str) -> Optional[Dict[str, Decimal]]: - try: - snapshot = self.info.l2_snapshot(coin) - if snapshot and 'levels' in snapshot: - bids = snapshot['levels'][0] - asks = snapshot['levels'][1] - if bids and asks: - best_bid = to_decimal(bids[0]['px']) - best_ask = to_decimal(asks[0]['px']) - mid = (best_bid + best_ask) / Decimal("2") - return {'bid': best_bid, 'ask': best_ask, 'mid': mid} - return None - except: return None - - def get_current_position(self, coin: str) -> Dict[str, Decimal]: - try: - user_state = self.info.user_state(self.vault_address or self.account.address) - - # Extract total account equity (marginSummary.accountValue) - equity = Decimal("0") - if "marginSummary" in user_state and "accountValue" in user_state["marginSummary"]: - equity = to_decimal(user_state["marginSummary"]["accountValue"]) - - for pos in user_state["assetPositions"]: - if pos["position"]["coin"] == coin: - return { - 'size': to_decimal(pos["position"]["szi"]), - 'pnl': to_decimal(pos["position"]["unrealizedPnl"]), - 'entry_price': to_decimal(pos["position"]["entryPx"]), - 'equity': equity - } - return {'size': Decimal("0"), 'pnl': Decimal("0"), 'entry_price': Decimal("0"), 'equity': equity} - except: return {'size': Decimal("0"), 'pnl': Decimal("0"), 'entry_price': Decimal("0"), 'equity': Decimal("0")} - - def get_open_orders(self) -> List[Dict]: - try: - return self.info.open_orders(self.vault_address or self.account.address) - except: return [] - - def check_shadow_orders(self, levels: Dict[str, Decimal]): - """ - Check if pending shadow (theoretical Maker) orders would have been filled. - """ - if not self.shadow_orders or not levels: - return - now = time.time() - remaining_orders = [] + remaining = [] for order in self.shadow_orders: - # 1. Check Fill - filled = False - fill_time = now - (order['expires_at'] - order['timeout_duration']) - - if order['side'] == 'BUY': - # Filled if someone SOLD into our Bid (Current Ask <= Our Bid Price) - # Wait... Maker Buy sits at Bid. It fills if Market Price drops to it. - # Actually, we need to track if TRADE price hit it. - # Proxy: If Current Best Ask <= Our Shadow Bid, it DEFINITELY filled (crossed). - # Conservative Proxy: If Current Best Bid < Our Shadow Bid? No. - # Standard Sim: If Low Price <= Our Limit. - # Here we only have snapshots. - # If 'levels["bid"]' goes below our price, did we fill? Maybe not. - # If 'levels["ask"]' goes below our price, we definitely filled. - if levels['ask'] <= order['price']: - filled = True - else: # SELL - # Filled if Current Best Bid >= Our Shadow Ask - if levels['bid'] >= order['price']: - filled = True - - if filled: - logger.info(f"[SHADOW] โœ… SUCCESS: Maker {order['side']} @ {order['price']:.2f} filled in {fill_time:.1f}s (Timeout: {order['timeout_duration']:.0f}s)") - continue # Remove from list - - # 2. Check Expiry - if now > order['expires_at']: - logger.info(f"[SHADOW] โŒ FAILED: Maker {order['side']} @ {order['price']:.2f} timed out after {order['timeout_duration']:.0f}s") - continue # Remove from list + coin = order.get('coin') + if not coin or coin not in l2_snapshots: + remaining.append(order) + continue - remaining_orders.append(order) + levels = l2_snapshots[coin]['levels'] + # Snapshot: [ [ {px, sz, n}, ... ], [ {px, sz, n}, ... ] ] -> [Bids, Asks] + # Bids = levels[0], Asks = levels[1] + if not levels[0] or not levels[1]: + remaining.append(order) + continue + + best_bid = to_decimal(levels[0][0]['px']) + best_ask = to_decimal(levels[1][0]['px']) - self.shadow_orders = remaining_orders + filled = False + if order['side'] == 'BUY': + # Filled if Ask <= Our Bid + if best_ask <= order['price']: filled = True + else: # SELL + # Filled if Bid >= Our Ask + if best_bid >= order['price']: filled = True + + if filled: + timeout = self.coin_configs.get(coin, {}).get("SHADOW_ORDER_TIMEOUT", 600) + duration = now - (order['expires_at'] - timeout) + logger.info(f"[SHADOW] โœ… SUCCESS: {coin} Maker {order['side']} @ {order['price']:.2f} filled in {duration:.1f}s") + elif now > order['expires_at']: + logger.info(f"[SHADOW] โŒ FAILED: {coin} Maker {order['side']} @ {order['price']:.2f} timed out") + else: + remaining.append(order) + + self.shadow_orders = remaining - def cancel_order(self, coin: str, oid: int): - logger.info(f"Cancelling order {oid}...") + def scan_strategies(self) -> bool: + """Scans all *_status.json files and updates active strategies. Returns False if any read failed.""" + status_files = glob.glob(os.path.join(current_dir, "*_status.json")) + # logger.info(f"[DEBUG] Scanning {len(status_files)} status files...") + + active_ids = set() + successful_files = set() + has_errors = False + + for file_path in status_files: + # Determine Profile/Coin from filename or content? + # Filename convention: {TARGET_DEX}_status.json + filename = os.path.basename(file_path) + dex_name = filename.replace("_status.json", "") + + profile = CLP_PROFILES.get(dex_name) + if not profile: + # Fallback: Try to guess or skip + continue + + coin_symbol = profile.get("COIN_SYMBOL", "ETH") + self.active_coins.add(coin_symbol) + + try: + with open(file_path, 'r') as f: + content = f.read().strip() + if not content: + # Empty file (being written?) -> treat as error to be safe + raise ValueError("Empty file") + data = json.loads(content) + + successful_files.add(file_path) # Mark as safe to sync + + if isinstance(data, dict): data = [data] + + for entry in data: + if entry.get('type') == 'AUTOMATIC' and entry.get('status') in ['OPEN', 'PENDING_HEDGE', 'CLOSING']: + token_id = entry['token_id'] + key = (file_path, token_id) + active_ids.add(key) + + # Init or Update Strategy + if key not in self.strategies: + self._init_single_strategy(key, entry, coin_symbol) + # Init Status + if key in self.strategy_states: + self.strategy_states[key]['status'] = entry.get('status', 'OPEN') + else: + # Refresh PnL/Fees from file in case they changed + if key in self.strategy_states: + 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') + + except Exception as e: + logger.error(f"Error reading {filename}: {e}. Skipping updates.") + has_errors = True + + # Remove stale strategies ONLY from files we successfully read + current_keys = list(self.strategies.keys()) + for k in current_keys: + file_origin = k[0] + # If the file is gone (not in status_files) OR we successfully read it and the key is missing: + if file_origin not in status_files or (file_origin in successful_files and k not in active_ids): + logger.info(f"Strategy {k[1]} removed (Closed/Gone).") + del self.strategies[k] + if k in self.strategy_states: del self.strategy_states[k] + + return not has_errors + + def _init_single_strategy(self, key, position_data, coin_symbol): try: - return self.exchange.cancel(coin, oid) + entry_amount0 = to_decimal(position_data.get('amount0_initial', 0)) + entry_amount1 = to_decimal(position_data.get('amount1_initial', 0)) + target_value = to_decimal(position_data.get('target_value', 50)) + entry_price = to_decimal(position_data['entry_price']) + lower = to_decimal(position_data['range_lower']) + upper = to_decimal(position_data['range_upper']) + liquidity_val = int(position_data.get('liquidity', 0)) + + d0 = int(position_data.get('token0_decimals', 18)) + d1 = int(position_data.get('token1_decimals', 6)) + liquidity_scale = Decimal("10") ** Decimal(str(-(d0 + d1) / 2)) + + start_price = self.last_prices.get(coin_symbol) + if start_price is None: + # Will init next loop when price available + return + + strat = HyperliquidStrategy( + entry_amount0, entry_amount1, target_value, entry_price, lower, upper, start_price, + liquidity_val, liquidity_scale + ) + + # Fix: Use persistent start time from JSON to track all fills + ts_open = position_data.get('timestamp_open') + start_time_ms = int(ts_open * 1000) if ts_open else int(time.time() * 1000) + + self.strategies[key] = strat + self.strategy_states[key] = { + "coin": coin_symbol, + "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)), + "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') + } + logger.info(f"[STRAT] Init {key[1]} ({coin_symbol}) | Range: {lower}-{upper}") + except Exception as e: - logger.error(f"Error cancelling order: {e}") + logger.error(f"Failed to init strategy {key[1]}: {e}") def place_limit_order(self, coin: str, is_buy: bool, size: Decimal, price: Decimal, order_type: str = "Alo") -> Optional[int]: - # Validate using Decimal logic - validated_size_float = validate_trade_size(size, self.sz_decimals, MIN_ORDER_VALUE_USD, price) + config = self.coin_configs.get(coin, {}) + sz_decimals = config.get("sz_decimals", 4) + min_order = config.get("MIN_ORDER_VALUE_USD", Decimal("10.0")) + validated_size_float = validate_trade_size(size, sz_decimals, min_order, price) if validated_size_float == 0: - logger.error(f"Trade size {size} invalid after validation") return None price_float = round_to_sig_figs_precise(price, 5) @@ -665,497 +516,455 @@ class ScalperHedger: elif "error" in status_obj: err_msg = status_obj['error'] if "Post only order would have immediately matched" in err_msg: - logger.warning(f"[RETRY] Maker order rejected (Price crossed BBO). Will recalculate and retry. Msg: {err_msg}") + logger.warning(f"[RETRY] Maker order rejected (Crossed). Will retry.") else: logger.error(f"Order API Error: {err_msg}") else: logger.error(f"Order Failed: {order_result}") - except Exception as e: if "429" in str(e): - logger.warning(f"Rate limit hit during trade (429). Backing off for 30s.") + logger.warning(f"Rate limit hit (429). Backing off.") self.api_backoff_until = time.time() + 30 else: logger.error(f"Exception during trade: {e}") return None - def manage_orders(self) -> bool: - """Returns True if there is an active order that should prevent new trades.""" - open_orders = self.get_open_orders() - # Filter out the fishing order from active management - my_orders = [o for o in open_orders if o['coin'] == COIN_SYMBOL and o['oid'] != self.fishing_oid] - - # Verify if fishing_oid is still alive - all_oids = [o['oid'] for o in open_orders] - if self.fishing_oid and self.fishing_oid not in all_oids: - self.fishing_oid = None - - if not my_orders: - return False - - if len(my_orders) > 1: - logger.warning("Multiple orders found. Cancelling all.") - for o in my_orders: - self.cancel_order(COIN_SYMBOL, o['oid']) - return False - - order = my_orders[0] - oid = order['oid'] - order_price = to_decimal(order['limitPx']) - - # Check Timeout - if 'timestamp' in order: - order_age = time.time() - (order['timestamp'] / 1000.0) - if order_age > MAKER_ORDER_TIMEOUT: - logger.info(f"Order {oid} timed out ({order_age:.1f}s > {MAKER_ORDER_TIMEOUT}s). Cancelling.") - self.cancel_order(COIN_SYMBOL, oid) - return False - - # Check if price moved too far - levels = self.get_order_book_levels(COIN_SYMBOL) - if not levels: return True # Keep order if data missing - - current_mid = levels['mid'] - pct_diff = abs(current_mid - order_price) / order_price - - # Dynamic Buffer logic (Simplified for Decimal) - # Using base buffer for now, can be enhanced - dynamic_buffer = PRICE_BUFFER_PCT - if pct_diff > dynamic_buffer: - logger.info(f"Price moved {pct_diff*100:.3f}% > {dynamic_buffer*100:.3f}%. Cancelling {oid}.") - self.cancel_order(COIN_SYMBOL, oid) - return False - - if time.time() - self.last_pending_log_time > 10: - logger.info(f"Order {oid} within range ({pct_diff*100:.3f}% < {dynamic_buffer*100:.3f}%). Waiting.") - self.last_pending_log_time = time.time() - - return True - - def track_fills_and_pnl(self, force: bool = False): + def get_open_orders(self) -> List[Dict]: try: - now = time.time() - # Increase interval to 60s to avoid 429 Rate Limits - if not force and now - self.last_pnl_check_time < 60: - return - self.last_pnl_check_time = now - - user_fills = self.info.user_fills(self.vault_address or self.account.address) - new_activity = False - - for fill in user_fills: - if fill['coin'] != COIN_SYMBOL: continue - if fill['time'] < self.strategy_start_time: continue - - fill_id = fill.get('tid') - if fill_id in self.trade_history_seen: continue - - self.trade_history_seen.add(fill_id) - fees = to_decimal(fill['fee']) - pnl = to_decimal(fill['closedPnl']) - - self.accumulated_fees += fees - self.accumulated_pnl += pnl - new_activity = True - logger.info(f"[FILL] {fill['side']} {fill['sz']} @ {fill['px']} | Fee: {fees} | PnL: {pnl}") + return self.info.open_orders(self.vault_address or self.account.address) + except: + return [] - if new_activity: - logger.info(f"Fills tracked. Total Price PnL: {self.accumulated_pnl:.2f} | Total Fees: {self.accumulated_fees:.2f}") - + def cancel_order(self, coin: str, oid: int): + try: + self.exchange.cancel(coin, oid) except Exception as e: - # Handle 429 specifically - if "429" in str(e): - logger.warning(f"Rate limit hitting while tracking fills (429). Backing off.") - # Add a small penalty delay to last_check to prevent immediate retry - self.last_pnl_check_time = time.time() + 30 - else: - logger.error(f"Error tracking fills: {e}") - - def close_all_positions(self, force_taker: bool = False): - logger.info("Closing all positions...") + logger.error(f"Error cancelling order: {e}") + + def _update_closed_pnl(self, coin: str): + """Fetch fills from API and sum closedPnl and fees for active strategies.""" try: - # 1. Cancel Orders - open_orders = self.get_open_orders() - for o in open_orders: - if o['coin'] == COIN_SYMBOL: - self.cancel_order(COIN_SYMBOL, o['oid']) + # 1. Identify relevant strategies for this coin + active_strats = [k for k, v in self.strategy_states.items() if v['coin'] == coin] + if not active_strats: return - # 2. Get Position - pos_data = self.get_current_position(COIN_SYMBOL) - current_pos = pos_data['size'] + # 2. Fetch all fills (This is heavy, maybe cache or limit?) + # SDK user_fills returns recent fills. + fills = self.info.user_fills(self.vault_address or self.account.address) - if current_pos == 0: return - - is_buy_to_close = current_pos < 0 - # Use Decimal absolute - final_size = abs(current_pos) - - # --- MAKER CLOSE --- - if not force_taker: - levels = self.get_order_book_levels(COIN_SYMBOL) - if levels: - tick_size = Decimal("0.1") - price = levels['bid'] - tick_size if is_buy_to_close else levels['ask'] + tick_size - - logger.info(f"Attempting Maker Close: {final_size} @ {price}") - oid = self.place_limit_order(COIN_SYMBOL, is_buy_to_close, final_size, price, "Alo") - if oid: - logger.info(f"Close Order Placed: {oid}") - return - - # --- TAKER CLOSE --- - market_price = self.get_market_price(COIN_SYMBOL) - if market_price: - # 5% slippage for guaranteed close - slip = Decimal("1.05") if is_buy_to_close else Decimal("0.95") - limit_price = market_price * slip - logger.info(f"Executing Taker Close: {final_size} @ {limit_price}") - self.place_limit_order(COIN_SYMBOL, is_buy_to_close, final_size, limit_price, "Ioc") - self.active_position_id = None + for key in active_strats: + start_time = self.strategy_states[key]['start_time'] + total_closed_pnl = Decimal("0") + total_fees = Decimal("0") + + for fill in fills: + if fill['coin'] == coin: + # Check timestamp + if fill['time'] >= start_time: + # Sum closedPnl + total_closed_pnl += to_decimal(fill.get('closedPnl', 0)) + # Sum fees + total_fees += to_decimal(fill.get('fee', 0)) + + # Update State + self.strategy_states[key]['hedge_TotPnL'] = total_closed_pnl + self.strategy_states[key]['fees'] = total_fees + + # Write to JSON + file_path, token_id = key + update_position_stats(file_path, token_id, { + "hedge_TotPnL": float(total_closed_pnl), + "hedge_fees_paid": float(total_fees) + }) + logger.info(f"[PnL] Updated {coin} | Closed PnL: ${total_closed_pnl:.2f} | Fees: ${total_fees:.2f}") except Exception as e: - logger.error(f"Error closing positions: {e}") + logger.error(f"Failed to update closed PnL/Fees for {coin}: {e}") def run(self): - logger.info(f"Starting Hedger Loop ({CHECK_INTERVAL}s)...") - logger.info(f"๐Ÿ”Ž Config: Coin={COIN_SYMBOL} | StatusFile={STATUS_FILE}") + logger.info("Starting Unified Hedger Loop...") + self.update_coin_decimals() + + # --- LOG SETTINGS ON START --- + logger.info("=== HEDGER CONFIGURATION ===") + for symbol, config in self.coin_configs.items(): + logger.info(f"--- {symbol} ---") + for k, v in config.items(): + logger.info(f" {k}: {v}") + logger.info("============================") while True: try: - # API Backoff Check + # 1. API Backoff if time.time() < self.api_backoff_until: - wait_time = self.api_backoff_until - time.time() - if int(wait_time) % 5 == 0: # Log every 5s - logger.warning(f"Backing off due to 429... ({wait_time:.1f}s)") time.sleep(1) continue - - active_pos = get_active_automatic_position() - # Check Global Disable or Missing Position - if not active_pos or not active_pos.get('hedge_enabled', True): - if self.strategy is not None: - logger.info("Hedge Disabled/Missing. Closing.") - self.close_all_positions(force_taker=True) - self.strategy = None - time.sleep(CHECK_INTERVAL) - continue - - # Check CLOSING status (from Manager) - if active_pos.get('status') == 'CLOSING': - logger.info(f"[ALERT] Position {active_pos['token_id']} is CLOSING. Closing Hedge.") - self.close_all_positions(force_taker=True) - self.strategy = None - time.sleep(CHECK_INTERVAL) - continue - - # Initialize Strategy if needed - if self.strategy is None or self.active_position_id != active_pos['token_id']: - self._init_strategy(active_pos) - if self.strategy is None: - time.sleep(CHECK_INTERVAL) - continue - - # --- CYCLE START --- - - # 1. Manage Orders - if self.manage_orders(): - time.sleep(CHECK_INTERVAL) - continue - - # 2. Market Data - levels = self.get_order_book_levels(COIN_SYMBOL) - if not levels: - time.sleep(0.1) + # 2. Update Strategies + if not self.scan_strategies(): + logger.warning("Strategy scan failed (read error). Skipping execution tick.") + time.sleep(1) continue - # Check Shadow Orders (Market Maker Simulation) - self.check_shadow_orders(levels) - - price = levels['mid'] - pos_data = self.get_current_position(COIN_SYMBOL) - current_size = pos_data['size'] - current_pnl = pos_data['pnl'] - current_equity = pos_data['equity'] - - # Update JSON with latest equity stats - net_pnl = self.accumulated_pnl - self.accumulated_fees - update_position_stats(self.active_position_id, { - "hedge_equity_usd": float(current_equity), - "hedge_pnl_realized": round(float(net_pnl), 2), - "hedge_fees_paid": round(float(self.accumulated_fees), 2) - }) - - # 3. Calculate Logic - calc = self.strategy.calculate_rebalance(price, current_size) - diff_abs = abs(calc['diff']) - - # Update Price History (Max 300 items = 5 mins @ 1s) - self.price_history.append(price) - if len(self.price_history) > 300: - self.price_history.pop(0) - - # 4. Thresholds - sqrt_Pa = self.strategy.low_range.sqrt() - sqrt_Pb = self.strategy.high_range.sqrt() - max_potential_eth = self.strategy.L * ((Decimal("1")/sqrt_Pa) - (Decimal("1")/sqrt_Pb)) - - # --- Dynamic Threshold Optimization (ATR/Vol Based) --- - - # 1. Calculate Volatility - vol_pct = self.calculate_volatility() - - # 2. Volatility Multiplier - # Base Vol assumption: 0.05% (0.0005) per window. - # If Vol is 0.15%, mult = 3x. Cap at 3.0x. Min 1.0x. - base_vol_ref = Decimal("0.0005") - vol_multiplier = Decimal("1.0") - if vol_pct > 0: - vol_multiplier = max(Decimal("1.0"), min(Decimal("3.0"), vol_pct / base_vol_ref)) - - # Disable volatility index when price is strictly inside edges (top and bottom) of range - if self.strategy.low_range < price < self.strategy.high_range: - vol_multiplier = Decimal("1.0") - - # 3. Base Threshold Calculation (Range Dependent) - range_width_pct = (self.strategy.high_range - self.strategy.low_range) / self.strategy.low_range - - # Ensure we satisfy PRICE_BUFFER_PCT (0.15%) minimum - base_threshold_pct = max(BASE_REBALANCE_THRESHOLD_PCT, PRICE_BUFFER_PCT / range_width_pct if range_width_pct > 0 else BASE_REBALANCE_THRESHOLD_PCT) - - # 4. Apply Multiplier - target_threshold_pct = base_threshold_pct * vol_multiplier - - # 5. Safety Cap - # Limit threshold to 20% of the total range width (relative) to prevent staying unhedged too long - # e.g. if range is 1% wide, max threshold is 0.2% deviation. - # If range is 10% wide, max threshold is 2% deviation. - # Absolute hard cap at 15% delta deviation. - safety_cap = min(Decimal("0.15"), Decimal("0.20")) - - final_threshold_pct = min(target_threshold_pct, safety_cap) - - rebalance_threshold = max(MIN_THRESHOLD_ETH, max_potential_eth * final_threshold_pct) - - # Volatility Adjustment (Instantaneous Shock) - # Keep this for sudden spikes that haven't affected the 5-min average yet - if self.last_price: - pct_change = abs(price - self.last_price) / self.last_price - if pct_change > Decimal("0.003"): - rebalance_threshold *= DYNAMIC_THRESHOLD_MULTIPLIER - - # --- FORCE EDGE CLEANUP (Dynamic Margin) --- - # Ensure we trade at the X% line if we haven't already. - if ENABLE_EDGE_CLEANUP: - dist_bottom_pct = (price - self.strategy.low_range) / self.strategy.low_range - dist_top_pct = (self.strategy.high_range - price) / self.strategy.high_range - - range_width_pct = (self.strategy.high_range - self.strategy.low_range) / self.strategy.low_range - safety_margin_pct = range_width_pct * EDGE_CLEANUP_MARGIN_PCT - - if dist_bottom_pct < safety_margin_pct or dist_top_pct < safety_margin_pct: - if rebalance_threshold > MIN_THRESHOLD_ETH: - if rebalance_threshold > MIN_THRESHOLD_ETH * Decimal("1.5"): - logger.info(f"[EDGE] Inside {EDGE_CLEANUP_MARGIN_PCT*100}% Safety Zone. Forcing tight threshold: {rebalance_threshold:.4f} -> {MIN_THRESHOLD_ETH:.4f}") - rebalance_threshold = MIN_THRESHOLD_ETH - - self.last_price = price - - # 5. Check Zones - # Assuming simple in-range check for now as zone logic was complex float math - # Using Strategy ranges - in_range = self.strategy.low_range <= price <= self.strategy.high_range - - if not in_range: - if price > self.strategy.high_range: - logger.info(f"[OUT] ABOVE RANGE ({price:.2f}). Closing Hedge.") - self.close_all_positions(force_taker=True) - elif price < self.strategy.low_range: - if int(time.time()) % 20 == 0: - logger.info(f"[HOLD] BELOW RANGE ({price:.2f}). Holding Hedge.") - time.sleep(CHECK_INTERVAL) + # 3. Fetch Market Data (Centralized) + try: + mids = self.info.all_mids() + user_state = self.info.user_state(self.vault_address or self.account.address) + open_orders = self.get_open_orders() + l2_snapshots = {} # Cache for snapshots + except Exception as e: + logger.error(f"API Error fetching data: {e}") + time.sleep(1) continue - - # 6. Execute Trade (with Edge Protection) - bypass_cooldown = False - override_reason = "" - # Edge Proximity Check - if active_pos.get('status') == 'OPEN': - # Dynamic Proximity Calculation - position_edge_proximity = self.get_dynamic_edge_proximity(price) - - range_width = self.strategy.high_range - self.strategy.low_range - distance_from_bottom = price - self.strategy.low_range - distance_from_top = self.strategy.high_range - price - - edge_distance = range_width * position_edge_proximity - - is_near_bottom = distance_from_bottom <= edge_distance - is_near_top = distance_from_top <= edge_distance - - if is_near_bottom or is_near_top: - bypass_cooldown = True - override_reason = f"EDGE PROXIMITY ({position_edge_proximity*100:.1f}% dyn-edge)" - if is_near_bottom: - override_reason += f" ({distance_from_bottom:.2f} from bottom)" - else: - override_reason += f" ({distance_from_top:.2f} from top)" - # Large Hedge Check - if not bypass_cooldown: - if diff_abs > (rebalance_threshold * LARGE_HEDGE_MULTIPLIER): - bypass_cooldown = True - override_reason = f"LARGE HEDGE NEEDED ({diff_abs:.4f} vs {rebalance_threshold:.4f})" + # Map Open Orders + orders_map = {} + for o in open_orders: + c = o['coin'] + if c not in orders_map: orders_map[c] = [] + orders_map[c].append(o) - can_trade = False - cooldown_text = "" + # Parse User State + account_value = Decimal("0") + if "marginSummary" in user_state and "accountValue" in user_state["marginSummary"]: + account_value = to_decimal(user_state["marginSummary"]["accountValue"]) - if diff_abs > rebalance_threshold: - # CANCEL FISHING ORDER BEFORE REBALANCE - if self.fishing_oid: - logger.info(f"[FISHING] Cancelling fishing order {self.fishing_oid} to rebalance.") - self.cancel_order(COIN_SYMBOL, self.fishing_oid) - self.fishing_oid = None + # Map current positions + current_positions = {} # Coin -> Size + current_pnls = {} # Coin -> Unrealized PnL + current_entry_pxs = {} # Coin -> Entry Price (NEW) + for pos in user_state["assetPositions"]: + c = pos["position"]["coin"] + s = to_decimal(pos["position"]["szi"]) + u = to_decimal(pos["position"]["unrealizedPnl"]) + e = to_decimal(pos["position"]["entryPx"]) + current_positions[c] = s + current_pnls[c] = u + current_entry_pxs[c] = e + + # 4. Aggregate Targets + # Coin -> { 'target_short': Decimal, 'contributors': int, 'is_at_edge': bool } + aggregates = {} + + # First, update all prices from mids for active coins + for coin in self.active_coins: + if coin in mids: + price = to_decimal(mids[coin]) + self.last_prices[coin] = price + + # Update Price History + 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) - if bypass_cooldown: - can_trade = True - logger.info(f"[WARN] COOLDOWN BYPASSED: {override_reason}") - elif time.time() - self.last_trade_time > MIN_TIME_BETWEEN_TRADES: - can_trade = True + for key, strat in self.strategies.items(): + coin = self.strategy_states[key]['coin'] + status = self.strategy_states[key].get('status', 'OPEN') + if coin not in self.last_prices: continue + price = self.last_prices[coin] + + # Calc Logic + calc = strat.calculate_rebalance(price, Decimal("0")) + + if coin not in aggregates: + aggregates[coin] = {'target_short': Decimal("0"), 'contributors': 0, 'is_at_edge': False, 'adj_pct': Decimal("0"), 'is_closing': False} + + if status == 'CLOSING': + # If Closing, we want target to be 0 for this strategy + logger.info(f"[STRAT] {key[1]} is CLOSING -> Force Target 0") + aggregates[coin]['is_closing'] = True + # Do not add to target_short else: - time_left = MIN_TIME_BETWEEN_TRADES - (time.time() - self.last_trade_time) - cooldown_text = f" | [WAIT] Cooldown ({time_left:.0f}s)" + aggregates[coin]['target_short'] += calc['target_short'] + + aggregates[coin]['contributors'] += 1 + aggregates[coin]['adj_pct'] = calc['adj_pct'] + + # Check Edge Proximity for Cleanup + config = self.coin_configs.get(coin, {}) + enable_cleanup = config.get("ENABLE_EDGE_CLEANUP", True) + cleanup_margin = config.get("EDGE_CLEANUP_MARGIN_PCT", Decimal("0.02")) - if can_trade: - is_buy = (calc['action'] == "BUY") + if enable_cleanup: + dist_bottom_pct = (price - strat.low_range) / strat.low_range + dist_top_pct = (strat.high_range - price) / strat.high_range + range_width_pct = (strat.high_range - strat.low_range) / strat.low_range + safety_margin_pct = range_width_pct * cleanup_margin - # EXECUTION STRATEGY - if bypass_cooldown: - # URGENT / UNSAFE ZONE -> TAKER (Ioc) - order_type = "Ioc" - # Aggressive Taker Price - exec_price = levels['ask'] * Decimal("1.001") if is_buy else levels['bid'] * Decimal("0.999") - - # Shadow Order for Data Collection (Only when taking) - create_shadow = True + if dist_bottom_pct < safety_margin_pct or dist_top_pct < safety_margin_pct: + aggregates[coin]['is_at_edge'] = True + + # Check Shadow Orders (Pre-Execution) + self.check_shadow_orders(l2_snapshots) + + # 5. Execute Per Coin + # Union of coins with Active Strategies OR Active Positions + coins_to_process = set(aggregates.keys()) + for c, pos in current_positions.items(): + if abs(pos) > 0: coins_to_process.add(c) + + 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 + if price == 0: continue + + target_short_abs = data['target_short'] # Always positive (it's a magnitude of short) + target_position = -target_short_abs # We want to be Short, so negative size + + current_pos = current_positions.get(coin, Decimal("0")) + + 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")) + + # 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 + enable_edge_cleanup = config.get("ENABLE_EDGE_CLEANUP", True) + 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_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: + logger.info(f"[TIMEOUT] {coin} Order {o_oid} expired ({order_age_sec:.1f}s > {maker_timeout}s). Cancelling to refresh.") + self.cancel_order(coin, o_oid) + continue + + # Fishing Timeout Check + if enable_fishing and is_same_side and order_age_sec > fishing_timeout: + 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 + + if is_same_side and dist_pct < price_buffer_pct: + order_matched = True + if int(time.time()) % 10 == 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") + break else: - # SAFE ZONE -> MAKER (Alo) - order_type = "Alo" - # Passive Maker Price - exec_price = levels['bid'] if is_buy else levels['ask'] - create_shadow = False + logger.info(f"Cancelling stale order {o_oid} ({o_side} @ {o_price})") + self.cancel_order(coin, o_oid) + + # --- EXECUTION LOGIC --- + if not order_matched: + if action_needed or force_taker_retry: + bypass_cooldown = False + force_maker = False - urgency = "URGENT" if bypass_cooldown else "NORMAL" - logger.info(f"[TRIG] Rebalance ({urgency}): {calc['action']} {diff_abs:.4f} > {rebalance_threshold:.4f} | Adj: {calc['adj_pct']*100:+.1f}% | Book: {levels['bid']}/{levels['ask']} | Vol: {vol_pct*100:.3f}% x{vol_multiplier:.1f} | Thresh: {final_threshold_pct*100:.1f}%") - - oid = self.place_limit_order(COIN_SYMBOL, is_buy, diff_abs, exec_price, order_type) - if oid: - self.last_trade_time = time.time() - self.track_fills_and_pnl(force=True) - - # --- Shadow Order Creation --- - # Only if we Taker trade, to see if Maker would have worked - if create_shadow: - try: - # Shadow Price (Passive) - shadow_price = levels['bid'] if is_buy else levels['ask'] - - self.shadow_orders.append({ - 'side': 'BUY' if is_buy else 'SELL', - 'price': shadow_price, - 'timeout_duration': SHADOW_ORDER_TIMEOUT, - 'expires_at': time.time() + SHADOW_ORDER_TIMEOUT - }) - logger.info(f"[SHADOW] Created Maker {'BUY' if is_buy else 'SELL'} @ {shadow_price:.2f} (Timeout: {SHADOW_ORDER_TIMEOUT:.0f}s)") - except Exception as e: - logger.error(f"Shadow logic error: {e}") - else: - if time.time() - self.last_idle_log_time > 30: - logger.info(f"[WAIT] Cooldown. Diff: {diff_abs:.4f}{cooldown_text}") - self.last_idle_log_time = time.time() - else: - if time.time() - self.last_idle_log_time > 30: - # Calculate approximate trigger prices (Linear Approximation) - # G = 0.5 * L * P^-1.5 - gamma = (Decimal("0.5") * self.strategy.L * (price ** Decimal("-1.5"))) - - # Equilibrium Price (where diff would be 0) - # If diff > 0 (Need Sell), we need Target to drop, so Price must Rise. - # Gamma is positive absolute value here, but delta/price relationship is inverse. - # Delta ~ 1/sqrt(P). Slope is negative. - # So P_target = P_current + (Diff / Gamma) - p_mid = price + (calc['diff'] / gamma) + # 0. Forced Taker Retry (Fishing Timeout) + if force_taker_retry: + bypass_cooldown = True + logger.info(f"[RETRY] {coin} Fishing Failed -> Force Taker") - # Price where Diff reaches -threshold (BUY) - p_buy = price + (rebalance_threshold + calc['diff']) / gamma - # Price where Diff reaches +threshold (SELL) - p_sell = price - (rebalance_threshold - calc['diff']) / gamma - - # Recalculate triggers if outside range (Safety Buffer: Dynamic Margin) - # User Request: "at range is too late", "recalculated to be bellow it" - r_width = self.strategy.high_range - self.strategy.low_range - safety_margin = r_width * EDGE_CLEANUP_MARGIN_PCT - - if p_buy > self.strategy.high_range: - p_buy = self.strategy.high_range - safety_margin + # 1. Urgent Closing -> Taker + elif data.get('is_closing', False): + bypass_cooldown = True + logger.info(f"[URGENT] {coin} Closing Strategy -> Force Taker Exit") - if p_sell < self.strategy.low_range: - p_sell = self.strategy.low_range + safety_margin - - net_pnl = self.accumulated_pnl - self.accumulated_fees - logger.info(f"[IDLE] Px: {price:.2f} | M: {p_mid:.1f} | B: {p_buy:.1f} / S: {p_sell:.1f} | Adj: {calc['adj_pct']*100:+.1f}% (Vol: {vol_pct*100:.3f}% x{vol_multiplier:.1f} | Thresh: {final_threshold_pct*100:.1f}%) | TotPnL: {net_pnl:.2f}") - self.last_idle_log_time = time.time() - - # --- FISHING ORDER LOGIC (SAFE ZONE) --- - # Always keep a maker order open at Entry Price for 10% of hedge size - if ENABLE_FISHING and self.fishing_oid is None and not self.get_open_orders(): - try: - # Use REAL Hedge Entry Price from Hyperliquid, not LP Entry - hedge_entry = pos_data.get('entry_price', Decimal("0")) - - # Only fish if we actually have a position - if hedge_entry > 0 and current_size != 0: - # SYMMETRIC FISHING LOGIC: - # We want an order that SITS on the book at the entry price. - # If Price > Entry: Place BUY at Entry (Waiting for a dip to reduce short). - # If Price < Entry: Place SELL at Entry (Waiting for a pump to increase short). - - if price > hedge_entry: - is_buy = True - target_price = hedge_entry - action_desc = "Reducing Short" - elif price < hedge_entry: - is_buy = False - target_price = hedge_entry - action_desc = "Increasing Short" + # 2. Ghost/Cleanup -> Maker + elif data.get('contributors', 0) == 0: + if time.time() - self.startup_time > 5: + force_maker = True + logger.info(f"[CLEANUP] {coin} Ghost Position -> Force Maker Reduce") else: - # Exactly at entry, skip to avoid immediate Taker matching - is_buy = None - - if is_buy is not None: - # Size = 10% of Target Delta - fishing_size = abs(calc['target_short']) * FISHING_ORDER_SIZE_PCT - - # Check distance - only place if price is not literally on top of entry - # 0.1% buffer to ensure it stays as a Maker order - dist_pct = abs(price - target_price) / price - if dist_pct > Decimal("0.001"): - logger.info(f"[FISHING] Placing Maker {'BUY' if is_buy else 'SELL'} {fishing_size:.4f} at Hedge Entry: {target_price:.2f} ({action_desc})") - self.fishing_oid = self.place_limit_order(COIN_SYMBOL, is_buy, fishing_size, target_price, "Alo") - except Exception as e: - logger.error(f"Error placing fishing order: {e}") + logger.info(f"[STARTUP] Skipping Ghost Cleanup for {coin} (Grace Period)") + continue # Skip execution for this coin - self.track_fills_and_pnl() - time.sleep(CHECK_INTERVAL) + # 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.") + + last_trade = self.last_trade_times.get(coin, 0) + + min_time_trade = config.get("MIN_TIME_BETWEEN_TRADES", 60) + can_trade = False + 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 + + bid = to_decimal(levels[0][0]['px']) + ask = to_decimal(levels[1][0]['px']) + + # Price logic + create_shadow = False + + # Decide Order Type: Taker (Ioc) or Maker (Alo) + # Taker if: Urgent (bypass_cooldown) OR Fishing Disabled OR Force Maker is False (wait, Force Maker means Alo) + + # Logic: + # If Force Maker -> Alo + # Else if Urgent -> Ioc + # Else if Enable Fishing -> Alo + # Else -> Alo (Default non-urgent behavior was Alo anyway?) + + # Let's clarify: + # Previous logic: if bypass_cooldown -> Ioc. Else -> Alo. + # New logic: + # If bypass_cooldown -> Ioc + # Else -> Alo (Fishing) + + 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" + 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}") + + oid = self.place_limit_order(coin, is_buy_bool, diff_abs, exec_price, order_type) + if oid: + self.last_trade_times[coin] = time.time() + + # 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 + pass + + else: + # Action NOT needed + # 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) --- + # Calculate aggregate Gamma to estimate triggers + # Gamma = 0.5 * Sum(L) * P^-1.5 + # 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: + gamma = (Decimal("0.5") * total_L * (price ** Decimal("-1.5"))) + if gamma > 0: + # Equilibrium Price (Diff = 0) + p_mid = price + (diff / gamma) + + # Triggers + p_buy = price + (dynamic_thresh + diff) / gamma + p_sell = price - (dynamic_thresh - diff) / gamma + + if int(time.time()) % 30 == 0: + 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") + fees_total = Decimal("0") + for k, s_state in self.strategy_states.items(): + 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 + + pnl_pad = " " if unrealized >= 0 else "" + tot_pnl_pad = " " if total_pnl >= 0 else "" + + 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}") + else: + if int(time.time()) % 30 == 0: + logger.info(f"[IDLE] {coin} | Px: {price:.2f} | delta: {target_position:.4f} | Diff: {diff:.4f} (Thresh: {dynamic_thresh:.4f})") + else: + if int(time.time()) % 30 == 0: + 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)) except KeyboardInterrupt: logger.info("Stopping...") - self.close_all_positions() break except Exception as e: logger.error(f"Loop Error: {e}", exc_info=True) time.sleep(5) if __name__ == "__main__": - hedger = ScalperHedger() - hedger.run() \ No newline at end of file + hedger = UnifiedHedger() + hedger.run() diff --git a/uniswap_manager.py b/clp_manager.py similarity index 92% rename from uniswap_manager.py rename to clp_manager.py index ca987fe..c6eb687 100644 --- a/uniswap_manager.py +++ b/clp_manager.py @@ -117,23 +117,28 @@ WETH9_ABI = json.loads(''' ] ''') -from clp_config import ( - get_current_config, STATUS_FILE, MONITOR_INTERVAL_SECONDS, - CLOSE_POSITION_ENABLED, OPEN_POSITION_ENABLED, - REBALANCE_ON_CLOSE_BELOW_RANGE, TARGET_INVESTMENT_VALUE_USDC, - INITIAL_HEDGE_CAPITAL_USDC, RANGE_WIDTH_PCT, - SLIPPAGE_TOLERANCE, TRANSACTION_TIMEOUT_SECONDS -) +from clp_config import get_current_config, STATUS_FILE # --- GET ACTIVE DEX CONFIG --- CONFIG = get_current_config() -# --- CONFIGURATION --- +# --- CONFIGURATION FROM STRATEGY --- +MONITOR_INTERVAL_SECONDS = CONFIG.get("MONITOR_INTERVAL_SECONDS", 60) +CLOSE_POSITION_ENABLED = CONFIG.get("CLOSE_POSITION_ENABLED", True) +OPEN_POSITION_ENABLED = CONFIG.get("OPEN_POSITION_ENABLED", True) +REBALANCE_ON_CLOSE_BELOW_RANGE = CONFIG.get("REBALANCE_ON_CLOSE_BELOW_RANGE", True) +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")) +SLIPPAGE_TOLERANCE = CONFIG.get("SLIPPAGE_TOLERANCE", Decimal("0.02")) +TRANSACTION_TIMEOUT_SECONDS = CONFIG.get("TRANSACTION_TIMEOUT_SECONDS", 30) + +# --- CONFIGURATION CONSTANTS --- NONFUNGIBLE_POSITION_MANAGER_ADDRESS = CONFIG["NPM_ADDRESS"] UNISWAP_V3_SWAP_ROUTER_ADDRESS = CONFIG["ROUTER_ADDRESS"] -# Arbitrum WETH/USDC -WETH_ADDRESS = CONFIG["WETH_ADDRESS"] -USDC_ADDRESS = CONFIG["USDC_ADDRESS"] +# Arbitrum WETH/USDC (or generic T0/T1) +WETH_ADDRESS = CONFIG["WRAPPED_NATIVE_ADDRESS"] +USDC_ADDRESS = CONFIG["TOKEN_B_ADDRESS"] POOL_FEE = CONFIG.get("POOL_FEE", 500) # --- HELPER FUNCTIONS --- @@ -510,7 +515,7 @@ def check_and_swap_for_deposit(w3: Web3, router_contract, account: LocalAccount, logger.warning(f"โŒ Insufficient funds (No suitable swap found). T0: {bal0}/{amount0_needed}, T1: {bal1}/{amount1_needed}") return False -def mint_new_position(w3: Web3, npm_contract, account: LocalAccount, token0: str, token1: str, amount0: int, amount1: int, tick_lower: int, tick_upper: int) -> Optional[Dict]: +def mint_new_position(w3: Web3, npm_contract, account: LocalAccount, token0: str, token1: str, amount0: int, amount1: int, tick_lower: int, tick_upper: int, d0: int, d1: int) -> Optional[Dict]: """ Approves tokens and mints a new V3 position. """ @@ -569,17 +574,25 @@ def mint_new_position(w3: Web3, npm_contract, account: LocalAccount, token0: str minted_data['amount1'] = int(data[128:192], 16) if minted_data['token_id']: - # Format for Log - # Assuming Token0=WETH (18), Token1=USDC (6) - should use fetched decimals ideally - # We fetched decimals in main(), but here we can assume or pass them. - # For simplicity, I'll pass them or use defaults since this is specific to this pair - d0, d1 = 18, 6 - + # Format for Log using actual decimals fmt_amt0 = Decimal(minted_data['amount0']) / Decimal(10**d0) fmt_amt1 = Decimal(minted_data['amount1']) / Decimal(10**d1) - logger.info(f"โœ… POSITION OPENED | ID: {minted_data['token_id']} | Deposited: {fmt_amt0:.6f} WETH + {fmt_amt1:.2f} USDC") + logger.info(f"โœ… POSITION OPENED | ID: {minted_data['token_id']} | Deposited: {fmt_amt0:.6f} + {fmt_amt1:.6f}") + # --- VERIFY TICKS ON-CHAIN --- + try: + pos_data = npm_contract.functions.positions(minted_data['token_id']).call() + # pos_data structure: nonce, operator, t0, t1, fee, tickLower, tickUpper, ... + minted_data['tick_lower'] = pos_data[5] + minted_data['tick_upper'] = pos_data[6] + logger.info(f"๐Ÿ”— Verified Ticks: {minted_data['tick_lower']} <-> {minted_data['tick_upper']}") + except Exception as e: + logger.warning(f"โš ๏ธ Could not verify ticks immediately: {e}") + # Fallback to requested ticks if fetch fails + minted_data['tick_lower'] = tick_lower + minted_data['tick_upper'] = tick_upper + return minted_data except Exception as e: @@ -587,7 +600,7 @@ def mint_new_position(w3: Web3, npm_contract, account: LocalAccount, token0: str return None -def decrease_liquidity(w3: Web3, npm_contract, account: LocalAccount, token_id: int, liquidity: int) -> bool: +def decrease_liquidity(w3: Web3, npm_contract, account: LocalAccount, token_id: int, liquidity: int, d0: int, d1: int) -> bool: if liquidity == 0: return True logger.info(f"๐Ÿ“‰ Decreasing Liquidity for {token_id}...") @@ -619,11 +632,10 @@ def decrease_liquidity(w3: Web3, npm_contract, account: LocalAccount, token_id: amt1 = int(data[128:192], 16) break - d0, d1 = 18, 6 # Assuming WETH/USDC fmt_amt0 = Decimal(amt0) / Decimal(10**d0) fmt_amt1 = Decimal(amt1) / Decimal(10**d1) - logger.info(f"๐Ÿ“‰ POSITION CLOSED (Liquidity Removed) | ID: {token_id} | Withdrawn: {fmt_amt0:.6f} WETH + {fmt_amt1:.2f} USDC") + logger.info(f"๐Ÿ“‰ POSITION CLOSED (Liquidity Removed) | ID: {token_id} | Withdrawn: {fmt_amt0:.6f} + {fmt_amt1:.6f}") except Exception as e: logger.warning(f"Closed but failed to parse details: {e}") @@ -677,7 +689,9 @@ def update_position_status(token_id: int, status: str, extra_data: Dict = {}): entry.update(extra_data) if status == "CLOSED": - entry['timestamp_close'] = int(time.time()) + now = datetime.now() + entry['timestamp_close'] = int(now.timestamp()) + entry['time_close'] = now.strftime("%d.%m.%y %H:%M:%S") save_status_data(data) logger.info(f"๐Ÿ’พ Updated Position {token_id} status to {status}") @@ -760,6 +774,11 @@ def main(): lower_price = price_from_tick(tick_lower, pos_details['token0_decimals'], pos_details['token1_decimals']) upper_price = price_from_tick(tick_upper, pos_details['token0_decimals'], pos_details['token1_decimals']) + # --- RANGE DISPLAY --- + # Calculate ranges from ticks for display purposes + real_range_lower = round(float(lower_price), 4) + real_range_upper = round(float(upper_price), 4) + status_msg = "โœ… IN RANGE" if in_range else "โš ๏ธ OUT OF RANGE" # Calculate Unclaimed Fees (Simulation) @@ -831,7 +850,7 @@ def main(): update_position_status(token_id, "CLOSING") # 1. Remove Liquidity - if decrease_liquidity(w3, npm, account, token_id, pos_details['liquidity']): + if decrease_liquidity(w3, npm, account, token_id, pos_details['liquidity'], pos_details['token0_decimals'], pos_details['token1_decimals']): # 2. Collect Fees collect_fees(w3, npm, account, token_id) update_position_status(token_id, "CLOSED") @@ -920,27 +939,39 @@ 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): - minted = mint_new_position(w3, npm, account, token0, token1, amt0, amt1, tick_lower, tick_upper) + 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 - entry_price = float(price_from_sqrt_price_x96(pool_data['sqrtPriceX96'], d0, d1)) + price_0_in_1 = price_from_sqrt_price_x96(pool_data['sqrtPriceX96'], d0, d1) fmt_amt0 = float(Decimal(minted['amount0']) / Decimal(10**d0)) fmt_amt1 = float(Decimal(minted['amount1']) / Decimal(10**d1)) - # Calculate actual initial value - actual_value = (fmt_amt0 * entry_price) + fmt_amt1 + if is_t1_stable: + entry_price = float(price_0_in_1) + actual_value = (fmt_amt0 * entry_price) + fmt_amt1 + r_upper = float(price_from_tick(minted['tick_upper'], d0, d1)) + r_lower = float(price_from_tick(minted['tick_lower'], d0, d1)) + else: + # Inverted (T0 is stable) + entry_price = float(Decimal("1") / price_0_in_1) + actual_value = fmt_amt0 + (fmt_amt1 * entry_price) + r_upper = float(Decimal("1") / price_from_tick(minted['tick_lower'], d0, d1)) + r_lower = float(Decimal("1") / price_from_tick(minted['tick_upper'], d0, d1)) # Prepare ordered data with specific rounding new_position_data = { - "type": "AUTOMATIC", # Will be handled by update_position_status logic if new + "type": "AUTOMATIC", "target_value": round(float(actual_value), 2), - "entry_price": round(entry_price, 2), + "entry_price": round(entry_price, 4), "amount0_initial": round(fmt_amt0, 4), - "amount1_initial": round(fmt_amt1, 2), + "amount1_initial": round(fmt_amt1, 4), "liquidity": str(minted['liquidity']), - "range_upper": round(float(price_from_tick(tick_upper, d0, d1)), 2), - "range_lower": round(float(price_from_tick(tick_lower, d0, d1)), 2), - "timestamp_open": int(time.time()) + "range_upper": round(r_upper, 4), + "range_lower": round(r_lower, 4), + "token0_decimals": d0, + "token1_decimals": d1, + "timestamp_open": int(time.time()), + "time_open": datetime.now().strftime("%d.%m.%y %H:%M:%S") } update_position_status(minted['token_id'], "OPEN", new_position_data) @@ -957,4 +988,4 @@ def main(): time.sleep(MONITOR_INTERVAL_SECONDS) if __name__ == "__main__": - main() \ No newline at end of file + main() diff --git a/doc/TELEGRAM_QUICKSTART.md b/doc/TELEGRAM_QUICKSTART.md new file mode 100644 index 0000000..1af12cf --- /dev/null +++ b/doc/TELEGRAM_QUICKSTART.md @@ -0,0 +1,34 @@ +# Quick Start Guide + +## 1. Test the Monitor +```bash +cd tools +python test_telegram_simple.py +``` + +## 2. Setup Telegram Bot (Optional) +```bash +python telegram_setup.py +``` + +## 3. Configure Environment +Copy `tools/.env.example` to `.env` and add: +```bash +TELEGRAM_MONITOR_ENABLED=True +TELEGRAM_BOT_TOKEN=your_token_here +TELEGRAM_CHAT_ID=your_chat_id_here +``` + +## 4. Run Monitor +```bash +python tools/telegram_monitor.py +``` + +## Files Created +- `tools/telegram_monitor.py` - Main monitoring script +- `tools/telegram_setup.py` - Setup helper +- `tools/test_telegram_simple.py` - Test script +- `tools/.env.example` - Environment template +- `tools/README_TELEGRAM.md` - Full documentation + +Monitor checks `hedge_status.json` every 60 seconds for new positions and sends formatted notifications to Telegram. \ No newline at end of file diff --git a/florida/.gemini/settings.json b/florida/.gemini/settings.json index ac0d632..6d958af 100644 --- a/florida/.gemini/settings.json +++ b/florida/.gemini/settings.json @@ -1,6 +1,8 @@ { "ui": { - "useAlternateBuffer": true + "useAlternateBuffer": true, + "incrementalRendering": true, + "multiline": true }, "tools": { "truncateToolOutputLines": 10000 diff --git a/florida/PANCAKESWAP_BNB_status.json b/florida/PANCAKESWAP_BNB_status.json index b836d73..af74c55 100644 --- a/florida/PANCAKESWAP_BNB_status.json +++ b/florida/PANCAKESWAP_BNB_status.json @@ -108,7 +108,7 @@ { "type": "AUTOMATIC", "token_id": 6154897, - "status": "OPEN", + "status": "CLOSED", "target_value": 998.49, "entry_price": 849.3437, "amount0_initial": 498.5177, @@ -118,6 +118,101 @@ "range_lower": 836.9493, "token0_decimals": 18, "token1_decimals": 18, - "timestamp_open": 1767001797 + "timestamp_open": 1767001797, + "target_value_end": 1005.08, + "timestamp_close": 1767102435 + }, + { + "type": "AUTOMATIC", + "token_id": 6161247, + "status": "CLOSED", + "target_value": 995.73, + "entry_price": 862.6115, + "amount0_initial": 495.7523, + "amount1_initial": 0.5796, + "liquidity": "2299317483414760958984", + "range_upper": 875.5579, + "range_lower": 850.0224, + "token0_decimals": 18, + "token1_decimals": 18, + "timestamp_open": 1767102508, + "hedge_TotPnL": 0.523778 + }, + { + "type": "AUTOMATIC", + "token_id": 6162814, + "status": "CLOSED", + "target_value": 995.27, + "entry_price": 860.0, + "amount0_initial": 496.4754, + "amount1_initial": 0.58, + "liquidity": "8300226074094182294178", + "range_upper": 863.616, + "range_lower": 856.384, + "token0_decimals": 18, + "token1_decimals": 18, + "timestamp_open": 1767126772, + "hedge_TotPnL": -3.412645, + "hedge_fees_paid": 1.002278, + "timestamp_close": 1767144919 + }, + { + "type": "AUTOMATIC", + "token_id": 6163606, + "status": "CLOSED", + "target_value": 1000.01, + "entry_price": 862.0807, + "amount0_initial": 500.0068, + "amount1_initial": 0.58, + "liquidity": "8283150435973737393211", + "range_upper": 865.7014, + "range_lower": 858.46, + "timestamp_open": 1767145082, + "timestamp_close": 1767151372 + }, + { + "type": "AUTOMATIC", + "token_id": 6163987, + "status": "CLOSED", + "target_value": 995.26, + "entry_price": 857.9836, + "amount0_initial": 497.6305, + "amount1_initial": 0.58, + "liquidity": "8313185309628073121633", + "range_upper": 861.5872, + "range_lower": 854.3801, + "timestamp_open": 1767152045, + "timestamp_close": 1767158799 + }, + { + "type": "AUTOMATIC", + "token_id": 6164411, + "status": "CLOSED", + "target_value": 991.83, + "entry_price": 855.03, + "amount0_initial": 495.9174, + "amount1_initial": 0.58, + "liquidity": "8280770348281556176465", + "range_upper": 858.6211, + "range_lower": 851.4389, + "timestamp_open": 1767158967, + "timestamp_close": 1767163852 + }, + { + "type": "AUTOMATIC", + "token_id": 6164702, + "status": "OPEN", + "target_value": 981.88, + "entry_price": 846.4517, + "amount0_initial": 490.942, + "amount1_initial": 0.58, + "liquidity": "8220443727732589279738", + "range_upper": 869.8855, + "range_lower": 862.782, + "token0_decimals": 18, + "token1_decimals": 18, + "timestamp_open": 1767164052, + "hedge_TotPnL": -0.026171, + "hedge_fees_paid": 0.097756 } ] \ No newline at end of file diff --git a/florida/UNISWAP_V3_status.json b/florida/UNISWAP_V3_status.json index c795043..1a77aa6 100644 --- a/florida/UNISWAP_V3_status.json +++ b/florida/UNISWAP_V3_status.json @@ -298,6 +298,8 @@ "range_lower": 2827.096, "token0_decimals": 18, "token1_decimals": 6, - "timestamp_open": 1766968369 + "timestamp_open": 1766968369, + "hedge_TotPnL": -5.078135, + "hedge_fees_paid": 2.029157 } ] \ No newline at end of file diff --git a/florida/clp_config.py b/florida/clp_config.py index 00ab3fe..a4807ee 100644 --- a/florida/clp_config.py +++ b/florida/clp_config.py @@ -8,49 +8,56 @@ 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 - "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 - + "MONITOR_INTERVAL_SECONDS": 60, # How often the Manager checks for range status + "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 + # Investment Settings - "TARGET_INVESTMENT_AMOUNT": 2000, # Total USD value to deploy into the LP position - "INITIAL_HEDGE_CAPITAL": 1000, # Capital reserved on Hyperliquid for hedging - "VALUE_REFERENCE": "USD", # Base currency for all calculations - "WRAPPED_NATIVE_ADDRESS": "0x82aF49447D8a07e3bd95BD0d56f35241523fBab1", # WETH/WBNB address - + "TARGET_INVESTMENT_AMOUNT": 2000, # Total USD value to deploy into the LP position + "INITIAL_HEDGE_CAPITAL": 1000, # Capital reserved on Hyperliquid for hedging + "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) - "SLIPPAGE_TOLERANCE": Decimal("0.02"), # Max allowed slippage for swaps and minting - "TRANSACTION_TIMEOUT_SECONDS": 30, # Timeout for blockchain transactions - - # Hedging Settings - "MIN_HEDGE_THRESHOLD": Decimal("0.012"), # Minimum delta change (in coins) required to trigger a trade + "RANGE_WIDTH_PCT": Decimal("0.01"), # LP width (e.g. 0.05 = +/- 5% from current price) + "SLIPPAGE_TOLERANCE": Decimal("0.02"), # Max allowed slippage for swaps and minting + "TRANSACTION_TIMEOUT_SECONDS": 30, # Timeout for blockchain transactions + + # Hedging Settings + "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%) - "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 - "MAX_HEDGE_MULTIPLIER": Decimal("1.25"),# Max allowed hedge size relative to calculated target - "BASE_REBALANCE_THRESHOLD_PCT": Decimal("0.25"), # Base tolerance for delta drift (20%) - "EDGE_PROXIMITY_PCT": Decimal("0.04"), # Distance to range edge where protection activates - "VELOCITY_THRESHOLD_PCT": Decimal("0.0005"), # Minimum price velocity to trigger volatility logic - "POSITION_OPEN_EDGE_PROXIMITY_PCT": Decimal("0.06"), # Safety margin when opening new positions - "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 - "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) - "FISHING_ORDER_SIZE_PCT": Decimal("0.10"), # Size of individual fishing orders + "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%) + "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 + "MAX_HEDGE_MULTIPLIER": Decimal("1.25"), # Max allowed hedge size relative to calculated target + "BASE_REBALANCE_THRESHOLD_PCT": Decimal("0.25"), # Base tolerance for delta drift (20%) + "EDGE_PROXIMITY_PCT": Decimal("0.04"), # Distance to range edge where protection activates + "VELOCITY_THRESHOLD_PCT": Decimal("0.0005"), # Minimum price velocity to trigger volatility logic + "POSITION_OPEN_EDGE_PROXIMITY_PCT": Decimal("0.06"), # Safety margin when opening new positions + "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 + "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) + "FISHING_ORDER_SIZE_PCT": Decimal("0.10"), # Size of individual fishing orders + "FISHING_TIMEOUT_FALLBACK": 30, # Seconds before converting fishing order to taker + + # EAC (Enhanced Asymmetric Compensation) + "EAC_NARROW_RANGE_THRESHOLD": Decimal("0.02"), # <2% = narrow + "EAC_MEDIUM_RANGE_THRESHOLD": Decimal("0.05"), # <5% = medium + "EAC_NARROW_BOOST": Decimal("0.15"), # 15% boost + "EAC_MEDIUM_BOOST": Decimal("0.10"), # 10% boost + "EAC_WIDE_BOOST": Decimal("0.075"), # 7.5% boost } # --- CLP PROFILES --- @@ -91,9 +98,17 @@ CLP_PROFILES = { "TOKEN_B_ADDRESS": "0x55d398326f99059fF775485246999027B3197955", # USDT "WRAPPED_NATIVE_ADDRESS": "0xbb4CdB9CBd36B01bD1cBaEBF2De08d9173bc095c", "POOL_FEE": 100, - "RANGE_WIDTH_PCT": Decimal("0.015"), + "RANGE_WIDTH_PCT": Decimal("0.004"), "TARGET_INVESTMENT_AMOUNT": 1000, - "MIN_HEDGE_THRESHOLD": Decimal("0.05"), # ~$30 for BNB + "MIN_HEDGE_THRESHOLD": Decimal("0.015"), + "BASE_REBALANCE_THRESHOLD_PCT": Decimal("0.10"), + "EDGE_PROXIMITY_PCT": Decimal("0.015"), + "DYNAMIC_THRESHOLD_MULTIPLIER": Decimal("1.1"), + "MIN_TIME_BETWEEN_TRADES": 20, + "ENABLE_FISHING": False, + "FISHING_ORDER_SIZE_PCT": Decimal("0.05"), + "MAKER_ORDER_TIMEOUT": 180, + "FISHING_TIMEOUT_FALLBACK": 60, }, "WETH_CBBTC_BASE": { "NAME": "Aerodrome/Uni (Base) - WETH/cbBTC", diff --git a/florida/unified_hedger.py b/florida/clp_hedger.py similarity index 77% rename from florida/unified_hedger.py rename to florida/clp_hedger.py index 73a4502..f83c4cc 100644 --- a/florida/unified_hedger.py +++ b/florida/clp_hedger.py @@ -45,7 +45,7 @@ class UnixMsLogFilter(logging.Filter): return True # Configure Logging -logger = logging.getLogger("UNIFIED_HEDGER") +logger = logging.getLogger("CLP_HEDGER") logger.setLevel(logging.INFO) logger.propagate = False # Prevent double logging from root logger logger.handlers.clear() # Clear existing handlers to prevent duplicates @@ -58,7 +58,7 @@ console_handler.setFormatter(console_fmt) logger.addHandler(console_handler) # File Handler -log_file = os.path.join(log_dir, 'unified_hedger.log') +log_file = os.path.join(log_dir, 'clp_hedger.log') file_handler = logging.FileHandler(log_file, encoding='utf-8') file_handler.setLevel(logging.INFO) file_handler.addFilter(UnixMsLogFilter()) @@ -281,7 +281,7 @@ class UnifiedHedger: self.startup_time = time.time() - logger.info(f"[UNIFIED] Master Hedger initialized. Agent: {self.account.address}") + logger.info(f"[CLP_HEDGER] Master Hedger initialized. Agent: {self.account.address}") self._init_coin_configs() def _init_coin_configs(self): @@ -468,12 +468,17 @@ class UnifiedHedger: liquidity_val, liquidity_scale ) + # Fix: Use persistent start time from JSON to track all fills + ts_open = position_data.get('timestamp_open') + start_time_ms = int(ts_open * 1000) if ts_open else int(time.time() * 1000) + self.strategies[key] = strat self.strategy_states[key] = { "coin": coin_symbol, - "start_time": int(time.time() * 1000), + "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)), + "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') } @@ -536,6 +541,46 @@ class UnifiedHedger: except Exception as e: logger.error(f"Error cancelling order: {e}") + def _update_closed_pnl(self, coin: str): + """Fetch fills from API and sum closedPnl and fees for active strategies.""" + try: + # 1. Identify relevant strategies for this coin + active_strats = [k for k, v in self.strategy_states.items() if v['coin'] == coin] + if not active_strats: return + + # 2. Fetch all fills (This is heavy, maybe cache or limit?) + # SDK user_fills returns recent fills. + fills = self.info.user_fills(self.vault_address or self.account.address) + + for key in active_strats: + start_time = self.strategy_states[key]['start_time'] + total_closed_pnl = Decimal("0") + total_fees = Decimal("0") + + for fill in fills: + if fill['coin'] == coin: + # Check timestamp + if fill['time'] >= start_time: + # Sum closedPnl + total_closed_pnl += to_decimal(fill.get('closedPnl', 0)) + # Sum fees + total_fees += to_decimal(fill.get('fee', 0)) + + # Update State + self.strategy_states[key]['hedge_TotPnL'] = total_closed_pnl + self.strategy_states[key]['fees'] = total_fees + + # Write to JSON + file_path, token_id = key + update_position_stats(file_path, token_id, { + "hedge_TotPnL": float(total_closed_pnl), + "hedge_fees_paid": float(total_fees) + }) + logger.info(f"[PnL] Updated {coin} | Closed PnL: ${total_closed_pnl:.2f} | Fees: ${total_fees:.2f}") + + except Exception as e: + logger.error(f"Failed to update closed PnL/Fees for {coin}: {e}") + def run(self): logger.info("Starting Unified Hedger Loop...") self.update_coin_decimals() @@ -587,12 +632,15 @@ class UnifiedHedger: # Map current positions current_positions = {} # Coin -> Size current_pnls = {} # Coin -> Unrealized PnL + current_entry_pxs = {} # Coin -> Entry Price (NEW) for pos in user_state["assetPositions"]: c = pos["position"]["coin"] s = to_decimal(pos["position"]["szi"]) u = to_decimal(pos["position"]["unrealizedPnl"]) + e = to_decimal(pos["position"]["entryPx"]) current_positions[c] = s current_pnls[c] = u + current_entry_pxs[c] = e # 4. Aggregate Targets # Coin -> { 'target_short': Decimal, 'contributors': int, 'is_at_edge': bool } @@ -692,6 +740,10 @@ class UnifiedHedger: # 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 @@ -715,8 +767,16 @@ class UnifiedHedger: # Price Check (within buffer) dist_pct = abs(price - o_price) / price - # Fishing Timeout Check + # 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: + logger.info(f"[TIMEOUT] {coin} Order {o_oid} expired ({order_age_sec:.1f}s > {maker_timeout}s). Cancelling to refresh.") + self.cancel_order(coin, o_oid) + continue + + # Fishing Timeout Check if enable_fishing and is_same_side and order_age_sec > fishing_timeout: 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) @@ -732,122 +792,122 @@ class UnifiedHedger: logger.info(f"Cancelling stale order {o_oid} ({o_side} @ {o_price})") self.cancel_order(coin, o_oid) - if order_matched: - continue # Order exists, wait for it - # --- EXECUTION LOGIC --- - if action_needed or force_taker_retry: - bypass_cooldown = False - force_maker = False + if not order_matched: + if action_needed or force_taker_retry: + bypass_cooldown = False + force_maker = False - # 0. Forced Taker Retry (Fishing Timeout) - if force_taker_retry: - bypass_cooldown = True - logger.info(f"[RETRY] {coin} Fishing Failed -> Force Taker") + # 0. Forced Taker Retry (Fishing Timeout) + if force_taker_retry: + bypass_cooldown = True + logger.info(f"[RETRY] {coin} Fishing Failed -> Force Taker") - # 1. Urgent Closing -> Taker - elif data.get('is_closing', False): - bypass_cooldown = True - logger.info(f"[URGENT] {coin} Closing Strategy -> Force Taker Exit") - - # 2. Ghost/Cleanup -> Maker - elif data.get('contributors', 0) == 0: - if time.time() - self.startup_time > 5: - force_maker = True - logger.info(f"[CLEANUP] {coin} Ghost Position -> Force Maker Reduce") - else: - logger.info(f"[STARTUP] Skipping Ghost Cleanup for {coin} (Grace Period)") - continue # Skip execution for this coin + # 1. Urgent Closing -> Taker + elif data.get('is_closing', False): + bypass_cooldown = True + logger.info(f"[URGENT] {coin} Closing Strategy -> Force Taker Exit") + + # 2. Ghost/Cleanup -> Maker + elif data.get('contributors', 0) == 0: + if time.time() - self.startup_time > 5: + force_maker = True + logger.info(f"[CLEANUP] {coin} Ghost Position -> Force Maker Reduce") + else: + logger.info(f"[STARTUP] Skipping Ghost Cleanup for {coin} (Grace Period)") + continue # Skip execution for this coin - # Large Hedge Check - large_hedge_mult = config.get("LARGE_HEDGE_MULTIPLIER", Decimal("5.0")) - if diff_abs > (dynamic_thresh * large_hedge_mult) and not force_maker: - bypass_cooldown = True - logger.info(f"[WARN] LARGE HEDGE: {diff_abs:.4f} > {dynamic_thresh:.4f} (x{large_hedge_mult})") + # 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.") - # Determine Intent - is_buy_bool = diff > 0 - side_str = "BUY" if is_buy_bool else "SELL" - - last_trade = self.last_trade_times.get(coin, 0) - - min_time_trade = config.get("MIN_TIME_BETWEEN_TRADES", 60) - can_trade = False - if bypass_cooldown: - can_trade = True - elif time.time() - last_trade > min_time_trade: - can_trade = True + last_trade = self.last_trade_times.get(coin, 0) - 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 - - bid = to_decimal(levels[0][0]['px']) - ask = to_decimal(levels[1][0]['px']) - - # Price logic - create_shadow = False - - # Decide Order Type: Taker (Ioc) or Maker (Alo) - # Taker if: Urgent (bypass_cooldown) OR Fishing Disabled OR Force Maker is False (wait, Force Maker means Alo) - - # Logic: - # If Force Maker -> Alo - # Else if Urgent -> Ioc - # Else if Enable Fishing -> Alo - # Else -> Alo (Default non-urgent behavior was Alo anyway?) - - # Let's clarify: - # Previous logic: if bypass_cooldown -> Ioc. Else -> Alo. - # New logic: - # If bypass_cooldown -> Ioc - # Else -> Alo (Fishing) - - 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" - create_shadow = True - else: - # Fishing / Standard Maker - exec_price = bid if is_buy_bool else ask - order_type = "Alo" + min_time_trade = config.get("MIN_TIME_BETWEEN_TRADES", 60) + can_trade = False + if bypass_cooldown: + can_trade = True + elif time.time() - last_trade > min_time_trade: + can_trade = True - 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}") - - 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 can_trade: + # Get Orderbook for Price + if coin not in l2_snapshots: + l2_snapshots[coin] = self.info.l2_snapshot(coin) - # 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}") + levels = l2_snapshots[coin]['levels'] + if not levels[0] or not levels[1]: continue - # UPDATED: Sleep for API Lag (Phase 5.1) - logger.info("Sleeping 10s to allow position update...") - time.sleep(10) + bid = to_decimal(levels[0][0]['px']) + ask = to_decimal(levels[1][0]['px']) + + # Price logic + create_shadow = False + + # Decide Order Type: Taker (Ioc) or Maker (Alo) + # Taker if: Urgent (bypass_cooldown) OR Fishing Disabled OR Force Maker is False (wait, Force Maker means Alo) + + # Logic: + # If Force Maker -> Alo + # Else if Urgent -> Ioc + # Else if Enable Fishing -> Alo + # Else -> Alo (Default non-urgent behavior was Alo anyway?) + + # Let's clarify: + # Previous logic: if bypass_cooldown -> Ioc. Else -> Alo. + # New logic: + # If bypass_cooldown -> Ioc + # Else -> Alo (Fishing) + + 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" + 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}") + + oid = self.place_limit_order(coin, is_buy_bool, diff_abs, exec_price, order_type) + if oid: + self.last_trade_times[coin] = time.time() + + # 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 + pass + else: - # Cooldown log - pass - - else: - # Action NOT needed - # 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']) + # Action NOT needed + # 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) --- # Calculate aggregate Gamma to estimate triggers @@ -876,11 +936,14 @@ class UnifiedHedger: # PnL Calc unrealized = current_pnls.get(coin, Decimal("0")) - realized = Decimal("0") + closed_pnl_total = Decimal("0") + fees_total = Decimal("0") for k, s_state in self.strategy_states.items(): if s_state['coin'] == coin: - realized += (s_state['pnl'] - s_state['fees']) - total_pnl = realized + unrealized + 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 pnl_pad = " " if unrealized >= 0 else "" tot_pnl_pad = " " if total_pnl >= 0 else "" diff --git a/aerodrome_manager.py b/florida/clp_manager.py similarity index 61% rename from aerodrome_manager.py rename to florida/clp_manager.py index fed9802..c6eb687 100644 --- a/aerodrome_manager.py +++ b/florida/clp_manager.py @@ -1,11 +1,3 @@ -# --- AERODROME MANAGER (BASE CHAIN) --- -# Adapted from uniswap_manager.py for Aerodrome Slipstream on Base. -# Key Differences: -# 1. Base Chain RPC & Tokens (WETH/USDC) -# 2. Aerodrome Slipstream Contract Addresses -# 3. Dynamic Tick Spacing (vs hardcoded 10) -# 4. Separate Status File (aerodrome_status.json) - import os import sys import time @@ -19,6 +11,7 @@ from typing import Optional, Dict, Tuple, Any, List from web3 import Web3 from web3.exceptions import TimeExhausted, ContractLogicError +from web3.middleware import ExtraDataToPOAMiddleware # FIX for Web3.py v6+ from eth_account import Account from eth_account.signers.local import LocalAccount from dotenv import load_dotenv @@ -41,18 +34,19 @@ sys.path.append(current_dir) log_dir = os.path.join(current_dir, 'logs') os.makedirs(log_dir, exist_ok=True) -# Logger Name changed to avoid conflict -LOGGER_NAME = "AERODROME_MANAGER" - try: from logging_utils import setup_logging - logger = setup_logging("normal", LOGGER_NAME) + # Assuming setup_logging might handle file logging if configured, + # but to be safe and explicit as requested, we'll add a FileHandler here + # or rely on setup_logging if it supports it. + # Since I don't see setup_logging code, I will manually add a file handler to the logger. + logger = setup_logging("normal", "UNISWAP_MANAGER") except ImportError: logging.basicConfig( level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s' ) - logger = logging.getLogger(LOGGER_NAME) + logger = logging.getLogger("UNISWAP_MANAGER") # Custom Filter for Millisecond Unix Timestamp class UnixMsLogFilter(logging.Filter): @@ -61,7 +55,7 @@ class UnixMsLogFilter(logging.Filter): return True # Add File Handler -log_file = os.path.join(log_dir, 'aerodrome_manager.log') +log_file = os.path.join(log_dir, 'uniswap_manager.log') file_handler = logging.FileHandler(log_file, encoding='utf-8') file_handler.setLevel(logging.INFO) file_handler.addFilter(UnixMsLogFilter()) @@ -69,7 +63,8 @@ formatter = logging.Formatter('%(unix_ms)d, %(asctime)s - %(name)s - %(levelname file_handler.setFormatter(formatter) logger.addHandler(file_handler) -# --- ABIs (Standard V3/Slipstream Compatible) --- +# --- ABIs --- +# (Kept minimal for brevity, normally would load from files) 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"}, @@ -84,12 +79,12 @@ NONFUNGIBLE_POSITION_MANAGER_ABI = json.loads(''' 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": "uint8", "name": "feeProtocol", "type": "uint8"}, {"internalType": "bool", "name": "unlocked", "type": "bool"}], "stateMutability": "view", "type": "function"}, + {"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": "liquidity", "outputs": [{"internalType": "uint128", "name": "", "type": "uint128"}], "stateMutability": "view", "type": "function"}, - {"inputs": [], "name": "tickSpacing", "outputs": [{"internalType": "int24", "name": "", "type": "int24"}], "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"} ] ''') @@ -122,25 +117,29 @@ WETH9_ABI = json.loads(''' ] ''') -# --- CONFIGURATION (BASE CHAIN / AERODROME) --- -# Aerodrome Slipstream Addresses (Base) -NONFUNGIBLE_POSITION_MANAGER_ADDRESS = "0x827922686190790b37229fd06084350e74485b72" -AERODROME_SWAP_ROUTER_ADDRESS = "0xBE6D8f0d05027F14e266dCC1E844717068f6f296" +from clp_config import get_current_config, STATUS_FILE -# Base Chain Tokens -WETH_ADDRESS = "0x4200000000000000000000000000000000000006" -USDC_ADDRESS = "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913" +# --- GET ACTIVE DEX CONFIG --- +CONFIG = get_current_config() -STATUS_FILE = "aerodrome_status.json" # Separate status file for Base -MONITOR_INTERVAL_SECONDS = 666 -CLOSE_POSITION_ENABLED = True -OPEN_POSITION_ENABLED = True -REBALANCE_ON_CLOSE_BELOW_RANGE = True -TARGET_INVESTMENT_VALUE_USDC = 2000 -INITIAL_HEDGE_CAPITAL_USDC = 2000 -RANGE_WIDTH_PCT = Decimal("0.02") # +/- 1% -SLIPPAGE_TOLERANCE = Decimal("0.02") -TRANSACTION_TIMEOUT_SECONDS = 30 +# --- CONFIGURATION FROM STRATEGY --- +MONITOR_INTERVAL_SECONDS = CONFIG.get("MONITOR_INTERVAL_SECONDS", 60) +CLOSE_POSITION_ENABLED = CONFIG.get("CLOSE_POSITION_ENABLED", True) +OPEN_POSITION_ENABLED = CONFIG.get("OPEN_POSITION_ENABLED", True) +REBALANCE_ON_CLOSE_BELOW_RANGE = CONFIG.get("REBALANCE_ON_CLOSE_BELOW_RANGE", True) +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")) +SLIPPAGE_TOLERANCE = CONFIG.get("SLIPPAGE_TOLERANCE", Decimal("0.02")) +TRANSACTION_TIMEOUT_SECONDS = CONFIG.get("TRANSACTION_TIMEOUT_SECONDS", 30) + +# --- CONFIGURATION CONSTANTS --- +NONFUNGIBLE_POSITION_MANAGER_ADDRESS = CONFIG["NPM_ADDRESS"] +UNISWAP_V3_SWAP_ROUTER_ADDRESS = CONFIG["ROUTER_ADDRESS"] +# Arbitrum WETH/USDC (or generic T0/T1) +WETH_ADDRESS = CONFIG["WRAPPED_NATIVE_ADDRESS"] +USDC_ADDRESS = CONFIG["TOKEN_B_ADDRESS"] +POOL_FEE = CONFIG.get("POOL_FEE", 500) # --- HELPER FUNCTIONS --- @@ -161,13 +160,13 @@ def to_wei_int(value: Decimal, decimals: int) -> int: return int(value * (Decimal(10) ** decimals)) def get_gas_params(w3: Web3) -> Dict[str, int]: - """Get dynamic gas parameters for EIP-1559 (Base Chain).""" + """Get dynamic gas parameters for EIP-1559.""" latest_block = w3.eth.get_block("latest") base_fee = latest_block['baseFeePerGas'] - # Base chain fees are low, but we prioritize - max_priority_fee = w3.eth.max_priority_fee or Web3.to_wei(0.05, 'gwei') + # Priority fee: 0.1 gwei or dynamic + max_priority_fee = w3.eth.max_priority_fee or Web3.to_wei(0.1, 'gwei') - # Max Fee = Base Fee * 1.25 + Priority Fee + # Max Fee = Base Fee * 1.5 + Priority Fee max_fee = int(base_fee * 1.25) + max_priority_fee return { @@ -183,26 +182,36 @@ def send_transaction_robust( gas_limit: Optional[int] = None, extra_msg: str = "" ) -> Optional[Any]: + """ + Builds, signs, sends, and waits for a transaction with timeout and status check. + """ try: + # 1. Prepare Params + # Use 'pending' to ensure we get the correct nonce if a tx was just sent/mined tx_params = { 'from': account.address, - 'nonce': w3.eth.get_transaction_count(account.address), + 'nonce': w3.eth.get_transaction_count(account.address, 'pending'), 'value': value, 'chainId': w3.eth.chain_id, } + # 2. Add Gas Params gas_fees = get_gas_params(w3) tx_params.update(gas_fees) + # 3. Simulate (Call) & Estimate Gas try: + # If function call object provided if hasattr(func_call, 'call'): - func_call.call({'from': account.address, 'value': value}) + func_call.call({'from': account.address, 'value': value}) # Safety Dry-Run estimated_gas = func_call.estimate_gas({'from': account.address, 'value': value}) else: + # Raw transaction construction if func_call is just params dict (rare here) estimated_gas = 200000 - tx_params['gas'] = gas_limit if gas_limit else int(estimated_gas * 1.2) + tx_params['gas'] = gas_limit if gas_limit else int(estimated_gas * 1.2) # 20% buffer + # Build if hasattr(func_call, 'build_transaction'): tx = func_call.build_transaction(tx_params) else: @@ -212,12 +221,17 @@ def send_transaction_robust( logger.error(f"โŒ Simulation/Estimation failed for {extra_msg}: {e}") return None + # 4. Sign signed_tx = account.sign_transaction(tx) + + # 5. Send tx_hash = w3.eth.send_raw_transaction(signed_tx.raw_transaction) logger.info(f"๐Ÿ“ค Sent {extra_msg} | Hash: {tx_hash.hex()}") + # 6. Wait for Receipt receipt = w3.eth.wait_for_transaction_receipt(tx_hash, timeout=TRANSACTION_TIMEOUT_SECONDS) + # 7. Verify Status if receipt.status == 1: logger.info(f"โœ… Executed {extra_msg} | Block: {receipt.blockNumber}") return receipt @@ -227,15 +241,22 @@ def send_transaction_robust( except TimeExhausted: logger.error(f"โŒ› Transaction Timeout {extra_msg} - Check Mempool") + # In a full production bot, we would implement gas bumping here. return None except Exception as e: logger.error(f"โŒ Transaction Error {extra_msg}: {e}") return None def price_from_sqrt_price_x96(sqrt_price_x96: int, token0_decimals: int, token1_decimals: int) -> Decimal: + """ + Returns price of Token0 in terms of Token1. + """ sqrt_price = Decimal(sqrt_price_x96) q96 = Decimal(2) ** 96 price = (sqrt_price / q96) ** 2 + + # Adjust for decimals: Price = (T1 / 10^d1) / (T0 / 10^d0) + # = (T1/T0) * (10^d0 / 10^d1) adjustment = Decimal(10) ** (token0_decimals - token1_decimals) return price * adjustment @@ -255,6 +276,7 @@ def get_amounts_for_liquidity(sqrt_ratio_current: int, sqrt_ratio_a: int, sqrt_r amount1 = 0 Q96 = 1 << 96 + # Calculations performed in high-precision integer math (EVM style) if sqrt_ratio_current <= sqrt_ratio_a: amount0 = (liquidity * Q96 // sqrt_ratio_a) - (liquidity * Q96 // sqrt_ratio_b) amount1 = 0 @@ -271,6 +293,7 @@ def get_amounts_for_liquidity(sqrt_ratio_current: int, sqrt_ratio_a: int, sqrt_r def get_position_details(w3: Web3, npm_contract, factory_contract, token_id: int): try: + # Check ownership first to avoid errors? positions() works regardless of owner usually. position_data = npm_contract.functions.positions(token_id).call() (nonce, operator, token0_address, token1_address, fee, tickLower, tickUpper, liquidity, feeGrowthInside0, feeGrowthInside1, tokensOwed0, tokensOwed1) = position_data @@ -278,6 +301,7 @@ def get_position_details(w3: Web3, npm_contract, factory_contract, token_id: int token0_contract = w3.eth.contract(address=token0_address, abi=ERC20_ABI) token1_contract = w3.eth.contract(address=token1_address, abi=ERC20_ABI) + # Multi-call optimization could be used here, but keeping simple for now token0_symbol = token0_contract.functions.symbol().call() token1_symbol = token1_contract.functions.symbol().call() token0_decimals = token0_contract.functions.decimals().call() @@ -309,18 +333,25 @@ def get_pool_dynamic_data(pool_contract) -> Optional[Dict[str, Any]]: return None def calculate_mint_amounts(current_tick, tick_lower, tick_upper, investment_value_token1: Decimal, decimals0, decimals1, sqrt_price_current_x96) -> Tuple[int, int]: + """ + Calculates required token amounts for a target investment value. + Uses precise Decimal math. + """ sqrt_price_current = get_sqrt_ratio_at_tick(current_tick) sqrt_price_lower = get_sqrt_ratio_at_tick(tick_lower) sqrt_price_upper = get_sqrt_ratio_at_tick(tick_upper) + # Price of T0 in T1 price_t0_in_t1 = price_from_sqrt_price_x96(sqrt_price_current_x96, decimals0, decimals1) + # Calculate amounts for a "Test" liquidity amount L_test = 1 << 128 amt0_test_wei, amt1_test_wei = get_amounts_for_liquidity(sqrt_price_current, sqrt_price_lower, sqrt_price_upper, L_test) amt0_test = Decimal(amt0_test_wei) / Decimal(10**decimals0) amt1_test = Decimal(amt1_test_wei) / Decimal(10**decimals1) + # Value in Token1 terms value_test = (amt0_test * price_t0_in_t1) + amt1_test if value_test <= 0: @@ -334,6 +365,9 @@ def calculate_mint_amounts(current_tick, tick_lower, tick_upper, investment_valu return final_amt0_wei, final_amt1_wei def ensure_allowance(w3: Web3, account: LocalAccount, token_address: str, spender_address: str, amount_needed: int) -> bool: + """ + Checks if allowance is sufficient, approves if not. + """ try: token_c = w3.eth.contract(address=token_address, abi=ERC20_ABI) allowance = token_c.functions.allowance(account.address, spender_address).call() @@ -343,9 +377,12 @@ def ensure_allowance(w3: Web3, account: LocalAccount, token_address: str, spende logger.info(f"๐Ÿ”“ Approving {token_address} for {spender_address}...") + # Some tokens (USDT) fail if approving from non-zero to non-zero. + # Safe practice: Approve 0 first if allowance > 0, then new amount. if allowance > 0: send_transaction_robust(w3, account, token_c.functions.approve(spender_address, 0), extra_msg="Reset Allowance") + # Approve receipt = send_transaction_robust( w3, account, token_c.functions.approve(spender_address, amount_needed), @@ -358,6 +395,9 @@ def ensure_allowance(w3: Web3, account: LocalAccount, token_address: str, spende return False 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. + """ token0 = clean_address(token0) token1 = clean_address(token1) token0_c = w3.eth.contract(address=token0, abi=ERC20_ABI) @@ -366,15 +406,17 @@ def check_and_swap_for_deposit(w3: Web3, router_contract, account: LocalAccount, bal0 = token0_c.functions.balanceOf(account.address).call() bal1 = token1_c.functions.balanceOf(account.address).call() + # Calculate Deficits deficit0 = max(0, amount0_needed - bal0) deficit1 = max(0, amount1_needed - bal1) weth_lower = WETH_ADDRESS.lower() - # Auto-wrap ETH on Base + # --- AUTO WRAP ETH --- if (deficit0 > 0 and token0.lower() == weth_lower) or (deficit1 > 0 and token1.lower() == weth_lower): eth_bal = w3.eth.get_balance(account.address) - gas_reserve = Web3.to_wei(0.005, 'ether') # Lower gas reserve for Base + # Keep 0.01 ETH for gas + gas_reserve = Web3.to_wei(0.01, 'ether') available_eth = max(0, eth_bal - gas_reserve) wrap_needed = 0 @@ -388,6 +430,7 @@ def check_and_swap_for_deposit(w3: Web3, router_contract, account: LocalAccount, weth_c = w3.eth.contract(address=WETH_ADDRESS, abi=WETH9_ABI) receipt = send_transaction_robust(w3, account, weth_c.functions.deposit(), value=amount_to_wrap, extra_msg="Wrap ETH") if receipt: + # Refresh Balances bal0 = token0_c.functions.balanceOf(account.address).call() bal1 = token1_c.functions.balanceOf(account.address).call() deficit0 = max(0, amount0_needed - bal0) @@ -396,16 +439,28 @@ def check_and_swap_for_deposit(w3: Web3, router_contract, account: LocalAccount, if deficit0 == 0 and deficit1 == 0: return True + # --- SWAP SURPLUS --- + # Smart Swap: Calculate exactly how much we need to swap + # Price of Token0 in terms of Token1 price_0_in_1 = price_from_sqrt_price_x96(sqrt_price_x96, d0, d1) + swap_call = None token_in, token_out = None, None amount_in = 0 - buffer_multiplier = Decimal("1.02") + + buffer_multiplier = Decimal("1.02") # 2% buffer for slippage/price moves if deficit0 > 0 and bal1 > amount1_needed: + # Need T0 (ETH), Have extra T1 (USDC) + # Swap T1 -> T0 + # Cost in T1 = Deficit0 * Price(T0 in T1) cost_in_t1 = Decimal(deficit0) / Decimal(10**d0) * price_0_in_1 + + # Convert back to T1 Wei and apply buffer amount_in_needed = int(cost_in_t1 * Decimal(10**d1) * buffer_multiplier) + surplus1 = bal1 - amount1_needed + if surplus1 >= amount_in_needed: token_in, token_out = token1, token0 amount_in = amount_in_needed @@ -414,10 +469,15 @@ def check_and_swap_for_deposit(w3: Web3, router_contract, account: LocalAccount, logger.warning(f"โŒ Insufficient Surplus T1. Need {amount_in_needed}, Have {surplus1}") elif deficit1 > 0 and bal0 > amount0_needed: + # Need T1 (USDC), Have extra T0 (ETH) + # Swap T0 -> T1 + # Cost in T0 = Deficit1 / Price(T0 in T1) if price_0_in_1 > 0: cost_in_t0 = (Decimal(deficit1) / Decimal(10**d1)) / price_0_in_1 + amount_in_needed = int(cost_in_t0 * Decimal(10**d0) * buffer_multiplier) surplus0 = bal0 - amount0_needed + if surplus0 >= amount_in_needed: token_in, token_out = token0, token1 amount_in = amount_in_needed @@ -428,41 +488,51 @@ def check_and_swap_for_deposit(w3: Web3, router_contract, account: LocalAccount, if token_in and amount_in > 0: logger.info(f"๐Ÿ”„ Swapping {amount_in} {token_in} to cover deficit...") - if not ensure_allowance(w3, account, token_in, AERODROME_SWAP_ROUTER_ADDRESS, amount_in): + if not ensure_allowance(w3, account, token_in, UNISWAP_V3_SWAP_ROUTER_ADDRESS, amount_in): return False params = ( - token_in, token_out, 500, account.address, + token_in, token_out, POOL_FEE, account.address, int(time.time()) + 120, amount_in, - 0, + 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"โš ๏ธ Swap executed but still short? T0: {bal0}/{amount0_needed}, T1: {bal1}/{amount1_needed}") return False - logger.warning(f"โŒ Insufficient funds. T0: {bal0}/{amount0_needed}, T1: {bal1}/{amount1_needed}") + logger.warning(f"โŒ Insufficient funds (No suitable swap found). T0: {bal0}/{amount0_needed}, T1: {bal1}/{amount1_needed}") return False -def mint_new_position(w3: Web3, npm_contract, account: LocalAccount, token0: str, token1: str, amount0: int, amount1: int, tick_lower: int, tick_upper: int) -> Optional[Dict]: - logger.info("๐Ÿš€ Minting new position on Aerodrome...") +def mint_new_position(w3: Web3, npm_contract, account: LocalAccount, token0: str, token1: str, amount0: int, amount1: int, tick_lower: int, tick_upper: int, d0: int, d1: int) -> Optional[Dict]: + """ + Approves tokens and mints a new V3 position. + """ + logger.info("๐Ÿš€ Minting new position...") + # 1. Approve if not ensure_allowance(w3, account, token0, NONFUNGIBLE_POSITION_MANAGER_ADDRESS, amount0): return None if not ensure_allowance(w3, account, token1, NONFUNGIBLE_POSITION_MANAGER_ADDRESS, amount1): return None + # 2. Calculate Min Amounts (Slippage Protection) + # Using 0.5% slippage tolerance amount0_min = int(Decimal(amount0) * (Decimal(1) - SLIPPAGE_TOLERANCE)) amount1_min = int(Decimal(amount1) * (Decimal(1) - SLIPPAGE_TOLERANCE)) + # 3. Mint params = ( - token0, token1, 500, + token0, token1, POOL_FEE, tick_lower, tick_upper, amount0, amount1, amount0_min, amount1_min, @@ -473,29 +543,56 @@ def mint_new_position(w3: Web3, npm_contract, account: LocalAccount, token0: str receipt = send_transaction_robust(w3, account, npm_contract.functions.mint(params), extra_msg="Mint Position") if receipt and receipt.status == 1: + # Parse Logs try: + # Transfer Event (Topic0) transfer_topic = Web3.keccak(text="Transfer(address,address,uint256)").hex() + # IncreaseLiquidity Event (Topic0) increase_liq_topic = Web3.keccak(text="IncreaseLiquidity(uint256,uint128,uint256,uint256)").hex() - minted_data = {'token_id': None, 'amount0': 0, 'amount1': 0} + minted_data = {'token_id': None, 'liquidity': 0, 'amount0': 0, 'amount1': 0} for log in receipt.logs: topics = [t.hex() for t in log['topics']] + + # Capture Token ID if topics[0] == transfer_topic: if "0000000000000000000000000000000000000000" in topics[1]: minted_data['token_id'] = int(topics[3], 16) + + # Capture Amounts if topics[0] == increase_liq_topic: + # decoding data: liquidity(uint128), amount0(uint256), amount1(uint256) + # data is a single hex string, we need to decode it data = log['data'].hex() - if data.startswith('0x'): data = data[2:] + if data.startswith('0x'): + data = data[2:] + + # liquidity is first 32 bytes (padded), amt0 next 32, amt1 next 32 + minted_data['liquidity'] = int(data[0:64], 16) minted_data['amount0'] = int(data[64:128], 16) minted_data['amount1'] = int(data[128:192], 16) if minted_data['token_id']: - d0, d1 = 18, 6 + # Format for Log using actual decimals fmt_amt0 = Decimal(minted_data['amount0']) / Decimal(10**d0) fmt_amt1 = Decimal(minted_data['amount1']) / Decimal(10**d1) - logger.info(f"โœ… POSITION OPENED | ID: {minted_data['token_id']} | Deposited: {fmt_amt0:.6f} WETH + {fmt_amt1:.2f} USDC") + logger.info(f"โœ… POSITION OPENED | ID: {minted_data['token_id']} | Deposited: {fmt_amt0:.6f} + {fmt_amt1:.6f}") + + # --- VERIFY TICKS ON-CHAIN --- + try: + pos_data = npm_contract.functions.positions(minted_data['token_id']).call() + # pos_data structure: nonce, operator, t0, t1, fee, tickLower, tickUpper, ... + minted_data['tick_lower'] = pos_data[5] + minted_data['tick_upper'] = pos_data[6] + logger.info(f"๐Ÿ”— Verified Ticks: {minted_data['tick_lower']} <-> {minted_data['tick_upper']}") + except Exception as e: + logger.warning(f"โš ๏ธ Could not verify ticks immediately: {e}") + # Fallback to requested ticks if fetch fails + minted_data['tick_lower'] = tick_lower + minted_data['tick_upper'] = tick_upper + return minted_data except Exception as e: @@ -503,7 +600,7 @@ def mint_new_position(w3: Web3, npm_contract, account: LocalAccount, token0: str return None -def decrease_liquidity(w3: Web3, npm_contract, account: LocalAccount, token_id: int, liquidity: int) -> bool: +def decrease_liquidity(w3: Web3, npm_contract, account: LocalAccount, token_id: int, liquidity: int, d0: int, d1: int) -> bool: if liquidity == 0: return True logger.info(f"๐Ÿ“‰ Decreasing Liquidity for {token_id}...") @@ -511,7 +608,7 @@ def decrease_liquidity(w3: Web3, npm_contract, account: LocalAccount, token_id: params = ( token_id, liquidity, - 0, 0, + 0, 0, # amountMin0, amountMin1 int(time.time()) + 180 ) @@ -519,86 +616,122 @@ def decrease_liquidity(w3: Web3, npm_contract, account: LocalAccount, token_id: if receipt and receipt.status == 1: try: + # Parse DecreaseLiquidity Event decrease_topic = Web3.keccak(text="DecreaseLiquidity(uint256,uint128,uint256,uint256)").hex() + amt0, amt1 = 0, 0 + for log in receipt.logs: topics = [t.hex() for t in log['topics']] - if topics[0] == decrease_topic and int(topics[1], 16) == token_id: - data = log['data'].hex()[2:] - amt0 = int(data[64:128], 16) - amt1 = int(data[128:192], 16) - break + if topics[0] == decrease_topic: + # Check tokenID (topic 1) + if int(topics[1], 16) == token_id: + data = log['data'].hex()[2:] + # liquidity (32), amt0 (32), amt1 (32) + amt0 = int(data[64:128], 16) + amt1 = int(data[128:192], 16) + break - d0, d1 = 18, 6 fmt_amt0 = Decimal(amt0) / Decimal(10**d0) fmt_amt1 = Decimal(amt1) / Decimal(10**d1) - logger.info(f"๐Ÿ“‰ POSITION CLOSED | ID: {token_id} | Withdrawn: {fmt_amt0:.6f} WETH + {fmt_amt1:.2f} USDC") + + logger.info(f"๐Ÿ“‰ POSITION CLOSED (Liquidity Removed) | ID: {token_id} | Withdrawn: {fmt_amt0:.6f} + {fmt_amt1:.6f}") + except Exception as e: logger.warning(f"Closed but failed to parse details: {e}") + return True + return False def collect_fees(w3: Web3, npm_contract, account: LocalAccount, token_id: int) -> bool: logger.info(f"๐Ÿ’ฐ Collecting Fees for {token_id}...") + max_val = 2**128 - 1 - params = (token_id, account.address, max_val, max_val) + params = ( + token_id, + account.address, + max_val, max_val + ) + receipt = send_transaction_robust(w3, account, npm_contract.functions.collect(params), extra_msg=f"Collect Fees {token_id}") return receipt is not None +# --- STATE MANAGEMENT --- + def load_status_data() -> List[Dict]: - if not os.path.exists(STATUS_FILE): return [] + if not os.path.exists(STATUS_FILE): + return [] try: - with open(STATUS_FILE, 'r') as f: return json.load(f) - except: return [] + with open(STATUS_FILE, 'r') as f: + return json.load(f) + except: + return [] def save_status_data(data: List[Dict]): - with open(STATUS_FILE, 'w') as f: json.dump(data, f, indent=2) + with open(STATUS_FILE, 'w') as f: + json.dump(data, f, indent=2) def update_position_status(token_id: int, status: str, extra_data: Dict = {}): data = load_status_data() + + # Find existing or create new entry = next((item for item in data if item.get('token_id') == token_id), None) if not entry: if status in ["OPEN", "PENDING_HEDGE"]: entry = {"type": "AUTOMATIC", "token_id": token_id} data.append(entry) - else: return + else: + return # Can't update non-existent position unless opening entry['status'] = status entry.update(extra_data) + if status == "CLOSED": - entry['timestamp_close'] = int(time.time()) + now = datetime.now() + entry['timestamp_close'] = int(now.timestamp()) + entry['time_close'] = now.strftime("%d.%m.%y %H:%M:%S") + save_status_data(data) logger.info(f"๐Ÿ’พ Updated Position {token_id} status to {status}") +# --- MAIN LOOP --- + def main(): - logger.info("๐Ÿ”ท Aerodrome Manager (Base Chain) Starting...") + logger.info(f"๐Ÿ”ท {CONFIG['NAME']} Manager V2 Starting...") load_dotenv(override=True) - rpc_url = os.environ.get("BASE_RPC_URL") # UPDATED ENV VAR - private_key = os.environ.get("MAIN_WALLET_PRIVATE_KEY") + # Dynamically load the RPC based on DEX Profile + rpc_url = os.environ.get(CONFIG["RPC_ENV_VAR"]) + private_key = os.environ.get("MAIN_WALLET_PRIVATE_KEY") or os.environ.get("PRIVATE_KEY") if not rpc_url or not private_key: - logger.error("โŒ Missing BASE_RPC_URL or MAIN_WALLET_PRIVATE_KEY in .env") + logger.error("โŒ Missing RPC or Private Key in .env") return w3 = Web3(Web3.HTTPProvider(rpc_url)) if not w3.is_connected(): - logger.error("โŒ Could not connect to Base RPC") + logger.error("โŒ Could not connect to RPC") return + # FIX: Inject POA middleware for BNB Chain/Polygon/etc. (Web3.py v6+) + w3.middleware_onion.inject(ExtraDataToPOAMiddleware, layer=0) + account = Account.from_key(private_key) logger.info(f"๐Ÿ‘ค Wallet: {account.address}") + # Contracts 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) - router = w3.eth.contract(address=clean_address(AERODROME_SWAP_ROUTER_ADDRESS), abi=SWAP_ROUTER_ABI) + router = w3.eth.contract(address=clean_address(UNISWAP_V3_SWAP_ROUTER_ADDRESS), abi=SWAP_ROUTER_ABI) while True: try: status_data = load_status_data() open_positions = [p for p in status_data if p.get('status') == 'OPEN'] + active_auto_pos = next((p for p in open_positions if p.get('type') == 'AUTOMATIC'), None) if active_auto_pos: @@ -608,27 +741,65 @@ def main(): if pos_details: pool_data = get_pool_dynamic_data(pool_c) current_tick = pool_data['tick'] + + # Check Range tick_lower = pos_details['tickLower'] tick_upper = pos_details['tickUpper'] + in_range = tick_lower <= current_tick < tick_upper - current_price = price_from_tick(current_tick, pos_details['token0_decimals'], pos_details['token1_decimals']) - lower_price = price_from_tick(tick_lower, pos_details['token0_decimals'], pos_details['token1_decimals']) - upper_price = price_from_tick(tick_upper, pos_details['token0_decimals'], pos_details['token1_decimals']) + # Calculate Prices for logging + price_0_in_1 = price_from_tick(current_tick, pos_details['token0_decimals'], pos_details['token1_decimals']) + + # --- SMART STABLE DETECTION --- + # Determine which token is the "Stable" side to anchor USD value + stable_symbols = ["USDC", "USDT", "DAI", "FDUSD", "USDS"] + is_t1_stable = any(s in pos_details['token1_symbol'].upper() for s in stable_symbols) + is_t0_stable = any(s in pos_details['token0_symbol'].upper() for s in stable_symbols) + + if is_t1_stable: + # Standard: T0=Volatile, T1=Stable. Price = T1 per T0 + current_price = price_0_in_1 + lower_price = price_from_tick(tick_lower, pos_details['token0_decimals'], pos_details['token1_decimals']) + upper_price = price_from_tick(tick_upper, pos_details['token0_decimals'], pos_details['token1_decimals']) + elif is_t0_stable: + # Inverted: T0=Stable, T1=Volatile. Price = T0 per T1 + # We want Price of T1 in terms of T0 + current_price = Decimal("1") / price_0_in_1 + lower_price = Decimal("1") / price_from_tick(tick_upper, pos_details['token0_decimals'], pos_details['token1_decimals']) + upper_price = Decimal("1") / price_from_tick(tick_lower, pos_details['token0_decimals'], pos_details['token1_decimals']) + else: + # Fallback to T1 + current_price = price_0_in_1 + lower_price = price_from_tick(tick_lower, pos_details['token0_decimals'], pos_details['token1_decimals']) + upper_price = price_from_tick(tick_upper, pos_details['token0_decimals'], pos_details['token1_decimals']) + + # --- RANGE DISPLAY --- + # Calculate ranges from ticks for display purposes + real_range_lower = round(float(lower_price), 4) + real_range_upper = round(float(upper_price), 4) status_msg = "โœ… IN RANGE" if in_range else "โš ๏ธ OUT OF RANGE" - # Simulated Fees + # Calculate Unclaimed Fees (Simulation) unclaimed0, unclaimed1, total_fees_usd = 0, 0, 0 try: + # Call collect with zero address to simulate fee estimation fees_sim = npm.functions.collect((token_id, "0x0000000000000000000000000000000000000000", 2**128-1, 2**128-1)).call({'from': account.address}) - unclaimed0 = to_decimal(fees_sim[0], pos_details['token0_decimals']) - unclaimed1 = to_decimal(fees_sim[1], pos_details['token1_decimals']) - total_fees_usd = (unclaimed0 * current_price) + unclaimed1 - except: pass + u0 = to_decimal(fees_sim[0], pos_details['token0_decimals']) + u1 = to_decimal(fees_sim[1], pos_details['token1_decimals']) + + if is_t1_stable: + total_fees_usd = (u0 * current_price) + u1 + else: + total_fees_usd = u0 + (u1 * current_price) + except Exception as e: + logger.debug(f"Fee simulation failed for {token_id}: {e}") - # PnL Calc + # Calculate Total PnL (Fees + Price Appreciation/Depreciation) + # We need the initial investment value (target_value) initial_value = Decimal(str(active_auto_pos.get('target_value', 0))) + curr_amt0_wei, curr_amt1_wei = get_amounts_for_liquidity( pool_data['sqrtPriceX96'], get_sqrt_ratio_at_tick(tick_lower), @@ -637,26 +808,71 @@ def main(): ) curr_amt0 = Decimal(curr_amt0_wei) / Decimal(10**pos_details['token0_decimals']) curr_amt1 = Decimal(curr_amt1_wei) / Decimal(10**pos_details['token1_decimals']) - current_pos_value_usd = (curr_amt0 * current_price) + curr_amt1 + + if is_t1_stable: + current_pos_value_usd = (curr_amt0 * current_price) + curr_amt1 + else: + current_pos_value_usd = curr_amt0 + (curr_amt1 * current_price) pnl_unrealized = current_pos_value_usd - initial_value total_pnl_usd = pnl_unrealized + total_fees_usd - logger.info(f"Position {token_id}: {status_msg} | Price: {current_price:.4f} [{lower_price:.4f} - {upper_price:.4f}] | TotPnL: ${total_pnl_usd:.2f} (Fees: ${total_fees_usd:.2f})") + pnl_text = f" | TotPnL: ${total_pnl_usd:.2f} (Fees: ${total_fees_usd:.2f})" + logger.info(f"Position {token_id}: {status_msg} | Price: {current_price:.4f} [{lower_price:.4f} - {upper_price:.4f}]{pnl_text}") + # --- KPI LOGGING --- + if log_kpi_snapshot: + snapshot = { + 'initial_eth': active_auto_pos.get('amount0_initial', 0), + 'initial_usdc': active_auto_pos.get('amount1_initial', 0), + 'initial_hedge_usdc': INITIAL_HEDGE_CAPITAL_USDC, + 'current_eth_price': float(current_price), + 'uniswap_pos_value_usd': float(current_pos_value_usd), + 'uniswap_fees_claimed_usd': 0.0, # Not tracked accumulated yet in JSON, using Unclaimed mainly + 'uniswap_fees_unclaimed_usd': float(total_fees_usd), + + # Hedge Data (from JSON updated by clp_hedger) + 'hedge_equity_usd': float(active_auto_pos.get('hedge_equity_usd', 0.0)), + 'hedge_pnl_realized_usd': active_auto_pos.get('hedge_pnl_realized', 0.0), + 'hedge_fees_paid_usd': active_auto_pos.get('hedge_fees_paid', 0.0) + } + # We use 'target_value' as a proxy for 'Initial Hedge Equity' + 'Initial Uni Val' if strictly tracking strategy? + # For now, let's pass what we have. + # To get 'hedge_equity', we ideally need clp_hedger to write it to JSON. + # Current implementation of kpi_tracker uses 'hedge_equity' in NAV. + # If we leave it 0, NAV will be underreported. + # WORKAROUND: Assume Hedge PnL Realized IS the equity change if we ignore margin. + + log_kpi_snapshot(snapshot) + if not in_range and CLOSE_POSITION_ENABLED: logger.warning(f"๐Ÿ›‘ Closing Position {token_id} (Out of Range)") update_position_status(token_id, "CLOSING") - if decrease_liquidity(w3, npm, account, token_id, pos_details['liquidity']): + + # 1. Remove Liquidity + if decrease_liquidity(w3, npm, account, token_id, pos_details['liquidity'], pos_details['token0_decimals'], pos_details['token1_decimals']): + # 2. Collect Fees collect_fees(w3, npm, account, token_id) update_position_status(token_id, "CLOSED") + + # 3. Optional Rebalance (Sell 50% WETH if fell below) + if REBALANCE_ON_CLOSE_BELOW_RANGE and current_tick < tick_lower: + # Simple rebalance logic here (similar to original check_and_swap surplus logic) + pass elif OPEN_POSITION_ENABLED: - logger.info("๐Ÿ” No active position. Analyzing Aerodrome market...") + logger.info("๐Ÿ” No active position. Analyzing market (Fast scan: 37s)...") - token0 = clean_address(WETH_ADDRESS) - token1 = clean_address(USDC_ADDRESS) - fee = 500 # 0.05% fee tier on Aerodrome Slipstream WETH/USDC + # Setup logic for new position + tA = clean_address(WETH_ADDRESS) + tB = clean_address(USDC_ADDRESS) + + if tA.lower() < tB.lower(): + token0, token1 = tA, tB + else: + token0, token1 = tB, tA + + 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) @@ -664,39 +880,103 @@ def main(): if pool_data: tick = pool_data['tick'] - # Get Tick Spacing dynamically - tick_spacing = pool_c.functions.tickSpacing().call() - + # Define Range (+/- 2.5%) + # log(1.025) / log(1.0001) approx 247 tick delta tick_delta = int(math.log(1 + float(RANGE_WIDTH_PCT)) / math.log(1.0001)) + # Fetch actual tick spacing from pool + tick_spacing = pool_c.functions.tickSpacing().call() + logger.info(f"๐Ÿ“ Tick Spacing: {tick_spacing}") + tick_lower = (tick - tick_delta) // tick_spacing * tick_spacing tick_upper = (tick + tick_delta) // tick_spacing * tick_spacing - d0, d1 = 18, 6 - investment_val_dec = Decimal(str(TARGET_INVESTMENT_VALUE_USDC)) + # 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. - amt0, amt1 = calculate_mint_amounts(tick, tick_lower, tick_upper, investment_val_dec, d0, d1, pool_data['sqrtPriceX96']) + # 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": + # ... (Existing MAX logic needs update too, but skipping for brevity as user uses fixed amount) + pass + else: + if is_t1_stable: + # T1 is stable (e.g. ETH/USDC). Target 2000 USD = 2000 Token1. + investment_val_token1 = target_usd + elif is_t0_stable: + # T0 is stable (e.g. USDT/BNB). Target 2000 USD = 2000 Token0. + # We need value in Token1. + # Price 0 in 1 = (BNB per USDT) approx 0.0012 + # Val T1 = Val T0 * Price(0 in 1) + investment_val_token1 = target_usd * price_0_in_1 + logger.info(f"๐Ÿ’ฑ Converted ${target_usd} -> {investment_val_token1:.4f} {t1_sym} (Price: {price_0_in_1:.6f})") + else: + # Fallback: Assume T1 is Stable (Dangerous but standard default) + logger.warning("โš ๏ธ Could not detect Stable token. Assuming T1 is stable.") + investment_val_token1 = target_usd + + 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): - minted = mint_new_position(w3, npm, account, token0, token1, amt0, amt1, tick_lower, tick_upper) + minted = mint_new_position(w3, npm, account, token0, token1, amt0, amt1, tick_lower, tick_upper, d0, d1) if minted: - entry_price = float(price_from_sqrt_price_x96(pool_data['sqrtPriceX96'], d0, d1)) + # Calculate entry price and amounts for JSON compatibility + price_0_in_1 = price_from_sqrt_price_x96(pool_data['sqrtPriceX96'], d0, d1) fmt_amt0 = float(Decimal(minted['amount0']) / Decimal(10**d0)) fmt_amt1 = float(Decimal(minted['amount1']) / Decimal(10**d1)) - actual_value = (fmt_amt0 * entry_price) + fmt_amt1 + if is_t1_stable: + entry_price = float(price_0_in_1) + actual_value = (fmt_amt0 * entry_price) + fmt_amt1 + r_upper = float(price_from_tick(minted['tick_upper'], d0, d1)) + r_lower = float(price_from_tick(minted['tick_lower'], d0, d1)) + else: + # Inverted (T0 is stable) + entry_price = float(Decimal("1") / price_0_in_1) + actual_value = fmt_amt0 + (fmt_amt1 * entry_price) + r_upper = float(Decimal("1") / price_from_tick(minted['tick_lower'], d0, d1)) + r_lower = float(Decimal("1") / price_from_tick(minted['tick_upper'], d0, d1)) + + # Prepare ordered data with specific rounding new_position_data = { "type": "AUTOMATIC", "target_value": round(float(actual_value), 2), - "entry_price": round(entry_price, 2), + "entry_price": round(entry_price, 4), "amount0_initial": round(fmt_amt0, 4), - "amount1_initial": round(fmt_amt1, 2), - "range_upper": round(float(price_from_tick(tick_upper, d0, d1)), 2), - "range_lower": round(float(price_from_tick(tick_lower, d0, d1)), 2), - "timestamp_open": int(time.time()) + "amount1_initial": round(fmt_amt1, 4), + "liquidity": str(minted['liquidity']), + "range_upper": round(r_upper, 4), + "range_lower": round(r_lower, 4), + "token0_decimals": d0, + "token1_decimals": d1, + "timestamp_open": int(time.time()), + "time_open": datetime.now().strftime("%d.%m.%y %H:%M:%S") } + update_position_status(minted['token_id'], "OPEN", new_position_data) + # Dynamic Sleep: 37s if no position, else configured interval sleep_time = MONITOR_INTERVAL_SECONDS if active_auto_pos else 37 time.sleep(sleep_time) @@ -705,7 +985,7 @@ def main(): break except Exception as e: logger.error(f"โŒ Main Loop Error: {e}") - time.sleep(60) + time.sleep(MONITOR_INTERVAL_SECONDS) if __name__ == "__main__": main() diff --git a/florida/market_data/BNB_1s_LIVE_WS.csv b/florida/market_data/BNB_1s_LIVE_WS.csv deleted file mode 100644 index 7ece551..0000000 --- a/florida/market_data/BNB_1s_LIVE_WS.csv +++ /dev/null @@ -1,2649 +0,0 @@ -timestamp,open,high,low,close,count -1767037228000,851.88,851.88,851.88,851.88,1 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skip_ws=True) + +try: + print(f"Fetching fills for {address}...") + fills = info.user_fills(address) + + if fills: + print(f"Found {len(fills)} fills. Inspecting first one:") + print(json.dumps(fills[0], indent=2)) + + # Check for closedPnl + if 'closedPnl' in fills[0]: + print("โœ… 'closedPnl' field FOUND!") + else: + print("โŒ 'closedPnl' field NOT FOUND.") + + else: + print("No fills found.") + +except Exception as e: + print(f"Error: {e}") diff --git a/florida/tools/debug_pnl_check.py b/florida/tools/debug_pnl_check.py new file mode 100644 index 0000000..b985fe8 --- /dev/null +++ b/florida/tools/debug_pnl_check.py @@ -0,0 +1,74 @@ +import os +import sys +import json +import time +from decimal import Decimal +from dotenv import load_dotenv +from hyperliquid.info import Info +from hyperliquid.utils import constants + +# Load env +current_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) +sys.path.append(current_dir) +load_dotenv(os.path.join(current_dir, '.env')) + +address = os.environ.get("MAIN_WALLET_ADDRESS") +if not address: + print("No address found") + sys.exit(1) + +info = Info(constants.MAINNET_API_URL, skip_ws=True) + +# Target Start Time: 2025-12-30 21:32:52 (From user JSON) +START_TIME_MS = 1767126772 * 1000 +COIN = "BNB" + +print(f"--- DEBUG PnL CHECK ---") +print(f"Address: {address}") +print(f"Coin: {COIN}") +print(f"Start Time: {START_TIME_MS}") + +try: + fills = info.user_fills(address) + + valid_fills = [] + total_closed_pnl = Decimal("0") + total_fees = Decimal("0") + + print(f"\n--- FILLS FOUND ---") + print(f"{'Time':<20} | {'Side':<5} | {'Sz':<8} | {'Px':<8} | {'Fee':<8} | {'ClosedPnL':<10}") + print("-" * 80) + + for fill in fills: + if fill['coin'] == COIN and fill['time'] >= START_TIME_MS: + valid_fills.append(fill) + + fee = Decimal(str(fill['fee'])) + pnl = Decimal(str(fill['closedPnl'])) + + total_closed_pnl += pnl + total_fees += fee + + ts_str = time.strftime('%H:%M:%S', time.localtime(fill['time']/1000)) + print(f"{ts_str:<20} | {fill['side']:<5} | {fill['sz']:<8} | {fill['px']:<8} | {fee:<8.4f} | {pnl:<10.4f}") + + print("-" * 80) + print(f"Count: {len(valid_fills)}") + print(f"Sum Closed PnL (Gross): {total_closed_pnl:.4f}") + print(f"Sum Fees: {total_fees:.4f}") + + net_realized = total_closed_pnl - total_fees + print(f"NET REALIZED (Gross - Fees): {net_realized:.4f}") + + # Check JSON + json_path = os.path.join(current_dir, "PANCAKESWAP_BNB_status.json") + if os.path.exists(json_path): + with open(json_path, 'r') as f: + data = json.load(f) + last_pos = data[-1] + print(f"\n--- JSON STATE ---") + print(f"hedge_TotPnL: {last_pos.get('hedge_TotPnL')}") + print(f"hedge_fees_paid: {last_pos.get('hedge_fees_paid')}") + +except Exception as e: + print(f"Error: {e}") diff --git a/florida/tools/fetch_real_position_data.py b/florida/tools/fetch_real_position_data.py new file mode 100644 index 0000000..61ade7f --- /dev/null +++ b/florida/tools/fetch_real_position_data.py @@ -0,0 +1,142 @@ +import json +import os +import math +import sys +from decimal import Decimal, getcontext +from web3 import Web3 +from web3.middleware import ExtraDataToPOAMiddleware +from eth_account import Account +from dotenv import load_dotenv + +# Add project root to path +sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) + +from clp_config import CLP_PROFILES + +# Load Env +load_dotenv() + +# Config for PancakeSwap +PROFILE = CLP_PROFILES["PANCAKESWAP_BNB"] +RPC_URL = os.environ.get(PROFILE["RPC_ENV_VAR"]) +STATUS_FILE = "PANCAKESWAP_BNB_status.json" + +# Minimal ABI for NPM +NPM_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" + } +] + +def get_price_at_tick(tick): + return 1.0001 ** tick + +def fetch_and_fix(): + if not RPC_URL: + print("โŒ Missing RPC URL in .env") + return + + print(f"Connecting to RPC: {RPC_URL}") + w3 = Web3(Web3.HTTPProvider(RPC_URL)) + w3.middleware_onion.inject(ExtraDataToPOAMiddleware, layer=0) + + if not w3.is_connected(): + print("โŒ Failed to connect to Web3") + return + + npm = w3.eth.contract(address=PROFILE["NPM_ADDRESS"], abi=NPM_ABI) + + with open(STATUS_FILE, 'r') as f: + data = json.load(f) + + updated_count = 0 + + for entry in data: + token_id = entry.get('token_id') + status = entry.get('status') + + # We check ALL positions to be safe, or just the problematic ones. + # Let's check any that seem to have suspect data or just refresh all active/recently active. + # The user mentioned 6164702 specifically. + + print(f"๐Ÿ” Checking Token ID: {token_id} ({status})") + + try: + pos = npm.functions.positions(token_id).call() + # Pos structure: + # 0: nonce, 1: operator, 2: token0, 3: token1, 4: fee, + # 5: tickLower, 6: tickUpper, 7: liquidity ... + + tick_lower = pos[5] + tick_upper = pos[6] + liquidity = pos[7] + + # Calculate Ranges + price_lower = get_price_at_tick(tick_lower) + price_upper = get_price_at_tick(tick_upper) + + # Format to 4 decimals + new_lower = round(price_lower, 4) + new_upper = round(price_upper, 4) + + old_lower = entry.get('range_lower', 0) + old_upper = entry.get('range_upper', 0) + + # Check deviation + if abs(new_lower - old_lower) > 0.1 or abs(new_upper - old_upper) > 0.1: + print(f" โš ๏ธ Mismatch Found!") + print(f" Old: {old_lower} - {old_upper}") + print(f" New: {new_lower} - {new_upper}") + + entry['range_lower'] = new_lower + entry['range_upper'] = new_upper + entry['liquidity'] = str(liquidity) + + # Fix Entry Price if it looks wrong (e.g. 0 or way off range) + # If single sided (e.g. 862-869), and spot is 860. + # If we provided only Token0 (BNB), we are selling BNB as it goes UP. + # So we entered 'below' the range. + # If we assume the user just opened it, the 'entry_price' should roughly match + # the current market price or at least be consistent. + # Since we don't know the exact historical price, we can't perfectly fix 'entry_price' + # without event logs. + # HOWEVER, for the bot's logic, 'range_lower' and 'range_upper' are critical for 'in_range' checks. + # 'entry_price' is mostly for PnL est. + + # If entry_price is wildly different from range (e.g. 844 vs 862-869), it's confusing. + # Let's see if we can infer something. + # For now, we update ranges as that's the request. + + updated_count += 1 + else: + print(f" โœ… Data looks solid.") + + except Exception as e: + print(f" โŒ Error fetching chain data: {e}") + + if updated_count > 0: + with open(STATUS_FILE, 'w') as f: + json.dump(data, f, indent=2) + print(f"๐Ÿ’พ Updated {updated_count} entries in {STATUS_FILE}") + else: + print("No updates needed.") + +if __name__ == "__main__": + fetch_and_fix() diff --git a/florida/tools/record_live_data.py b/florida/tools/record_live_data.py index 535f5e6..1e77a3f 100644 --- a/florida/tools/record_live_data.py +++ b/florida/tools/record_live_data.py @@ -90,7 +90,7 @@ class CandleRecorder: print(f"WebSocket Error: {error}") def on_close(self, ws, close_status_code, close_msg): - print("WebSocket Closed") + print(f"WebSocket Closed: {close_status_code} - {close_msg}") def on_open(self, ws): print("WebSocket Connected. Subscribing to allMids...") @@ -105,17 +105,25 @@ class CandleRecorder: print(f"๐Ÿ“‚ Output: {self.output_file}") print("Press Ctrl+C to stop.") - # Start WS in separate thread? No, run_forever is blocking usually. - # But we need to handle Ctrl+C. - self.ws = websocket.WebSocketApp( - WS_URL, - on_open=self.on_open, - on_message=self.on_message, - on_error=self.on_error, - on_close=self.on_close - ) - - self.ws.run_forever() + while self.running: + try: + self.ws = websocket.WebSocketApp( + WS_URL, + on_open=self.on_open, + on_message=self.on_message, + on_error=self.on_error, + on_close=self.on_close + ) + + # run_forever blocks until connection is lost + self.ws.run_forever(ping_interval=30, ping_timeout=10) + + except Exception as e: + print(f"Critical Error in main loop: {e}") + + if self.running: + print("Connection lost. Reconnecting in 5 seconds...") + time.sleep(5) def signal_handler(sig, frame): print("\nStopping recorder...") diff --git a/florida/tools/record_raw_ticks.py b/florida/tools/record_raw_ticks.py new file mode 100644 index 0000000..67f679f --- /dev/null +++ b/florida/tools/record_raw_ticks.py @@ -0,0 +1,207 @@ +import argparse +import csv +import os +import time +import json +import threading +import signal +import sys +import websocket +from datetime import datetime + +# Setup +PROJECT_ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) +MARKET_DATA_DIR = os.path.join(PROJECT_ROOT, 'market_data') +WS_URL = "wss://api.hyperliquid.xyz/ws" + +class MarketDataRecorder: + def __init__(self, coin, file_prefix): + self.coin = coin + self.running = True + self.ws = None + + # File paths + self.book_file = f"{file_prefix}_book.csv" + self.trades_file = f"{file_prefix}_trades.csv" + + # Buffers + self.book_buffer = [] + self.trades_buffer = [] + self.buffer_limit = 10 + + # Ensure dir exists + if not os.path.exists(MARKET_DATA_DIR): + os.makedirs(MARKET_DATA_DIR) + + # Init Book CSV + if not os.path.exists(self.book_file): + with open(self.book_file, 'w', newline='') as f: + writer = csv.writer(f) + writer.writerow(['timestamp_ms', 'local_time', 'bid_px', 'bid_sz', 'ask_px', 'ask_sz', 'mid_price']) + + # Init Trades CSV + if not os.path.exists(self.trades_file): + with open(self.trades_file, 'w', newline='') as f: + writer = csv.writer(f) + writer.writerow(['timestamp_ms', 'local_time', 'price', 'size', 'side', 'hash']) + + def on_message(self, ws, message): + try: + recv_ts = time.time() + msg = json.loads(message) + channel = msg.get('channel') + data = msg.get('data', {}) + + if channel == 'l2Book': + self.process_book(data, recv_ts) + elif channel == 'trades': + self.process_trades(data, recv_ts) + + except Exception as e: + print(f"[{datetime.now()}] Error processing: {e}") + + def process_book(self, data, recv_ts): + if data.get('coin') != self.coin: + return + + levels = data.get('levels', []) + if levels and len(levels) >= 2: + bids = levels[0] + asks = levels[1] + + if bids and asks: + # Hyperliquid L2 format: {px: float, sz: float, n: int} + best_bid = bids[0] + best_ask = asks[0] + + bid_px = float(best_bid['px']) + bid_sz = float(best_bid['sz']) + ask_px = float(best_ask['px']) + ask_sz = float(best_ask['sz']) + mid = (bid_px + ask_px) / 2 + + row = [ + int(recv_ts * 1000), + datetime.fromtimestamp(recv_ts).strftime('%H:%M:%S.%f')[:-3], + bid_px, bid_sz, + ask_px, ask_sz, + mid + ] + self.book_buffer.append(row) + + if len(self.book_buffer) >= self.buffer_limit: + self.flush_book() + + def process_trades(self, data, recv_ts): + # Data is a list of trades + for trade in data: + if trade.get('coin') != self.coin: + continue + + # trade format: {coin, side, px, sz, time, hash} + row = [ + int(trade.get('time', int(recv_ts * 1000))), + datetime.fromtimestamp(trade.get('time', 0)/1000 or recv_ts).strftime('%H:%M:%S.%f')[:-3], + float(trade['px']), + float(trade['sz']), + trade['side'], + trade.get('hash', '') + ] + self.trades_buffer.append(row) + + if len(self.trades_buffer) >= self.buffer_limit: + self.flush_trades() + + def flush_book(self): + try: + with open(self.book_file, 'a', newline='') as f: + writer = csv.writer(f) + writer.writerows(self.book_buffer) + self.book_buffer = [] + except Exception as e: + print(f"Error writing book: {e}") + + def flush_trades(self): + try: + with open(self.trades_file, 'a', newline='') as f: + writer = csv.writer(f) + writer.writerows(self.trades_buffer) + + # Console Feedback + last_trade = self.trades_buffer[-1] if self.trades_buffer else "N/A" + if last_trade != "N/A": + print(f"[{datetime.now().strftime('%H:%M:%S')}] ๐Ÿ”ซ Trade: {last_trade[2]} (x{last_trade[3]}) {last_trade[4]}") + + self.trades_buffer = [] + except Exception as e: + print(f"Error writing trades: {e}") + + def on_open(self, ws): + print(f"[{datetime.now()}] Connected! Subscribing to l2Book & trades for {self.coin}...") + + # Subscribe to Book + ws.send(json.dumps({ + "method": "subscribe", + "subscription": {"type": "l2Book", "coin": self.coin} + })) + + # Subscribe to Trades + ws.send(json.dumps({ + "method": "subscribe", + "subscription": {"type": "trades", "coin": self.coin} + })) + + def on_error(self, ws, error): + print(f"WebSocket Error: {error}") + + def on_close(self, ws, close_status_code, close_msg): + print(f"WebSocket Closed: {close_status_code}") + self.flush_book() + self.flush_trades() + + def start(self): + print(f"๐Ÿ”ด RECORDING RAW DATA for {self.coin}") + print(f"๐Ÿ“˜ Book Data: {self.book_file}") + print(f"๐Ÿ”ซ Trades Data: {self.trades_file}") + print("Press Ctrl+C to stop.") + + while self.running: + try: + self.ws = websocket.WebSocketApp( + WS_URL, + on_open=self.on_open, + on_message=self.on_message, + on_error=self.on_error, + on_close=self.on_close + ) + self.ws.run_forever(ping_interval=15, ping_timeout=5) + except Exception as e: + print(f"Critical error: {e}") + + if self.running: + print("Reconnecting in 1s...") + time.sleep(1) + +def signal_handler(sig, frame): + print("\nStopping recorder...") + sys.exit(0) + +if __name__ == "__main__": + signal.signal(signal.SIGINT, signal_handler) + + parser = argparse.ArgumentParser(description="Record RAW Book & Trades from Hyperliquid") + parser.add_argument("--coin", type=str, default="ETH", help="Coin symbol") + parser.add_argument("--output", type=str, help="Base filename (will append _book.csv and _trades.csv)") + + args = parser.parse_args() + + # Generate filename prefix + if args.output: + # Strip extension if user provided one like "data.csv" -> "data" + base = os.path.splitext(args.output)[0] + else: + date_str = datetime.now().strftime("%Y%m%d") + base = os.path.join(MARKET_DATA_DIR, f"{args.coin}_raw_{date_str}") + + recorder = MarketDataRecorder(args.coin, base) + recorder.start() \ No newline at end of file diff --git a/telegram_monitor.py b/telegram_monitor.py new file mode 100644 index 0000000..ad1926a --- /dev/null +++ b/telegram_monitor.py @@ -0,0 +1,394 @@ +#!/usr/bin/env python3 +""" +Telegram Monitor for CLP Position Notifications +Monitors hedge_status.json file for new position openings and sends Telegram notifications +""" + +import os +import sys +import time +import json +import logging +import hashlib +import requests +from datetime import datetime +from decimal import Decimal +from typing import Optional, Dict, List, Tuple, Any +from dotenv import load_dotenv + +# --- SETUP PROJECT PATH --- +current_dir = os.path.dirname(os.path.abspath(__file__)) +project_root = os.path.dirname(current_dir) +sys.path.append(current_dir) + +# --- LOGGING SETUP --- +os.makedirs(os.path.join(current_dir, 'logs'), exist_ok=True) + +class UnixMsLogFilter(logging.Filter): + def filter(self, record): + record.unix_ms = int(record.created * 1000) + return True + +logger = logging.getLogger("TELEGRAM_MONITOR") +logger.setLevel(logging.INFO) +logger.propagate = False +logger.handlers.clear() + +# Console handler +console_handler = logging.StreamHandler() +console_handler.setLevel(logging.INFO) +console_formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s') +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') +file_handler.setLevel(logging.INFO) +file_handler.addFilter(UnixMsLogFilter()) +file_formatter = logging.Formatter('%(unix_ms)d, %(asctime)s - %(name)s - %(levelname)s - %(message)s') +file_handler.setFormatter(file_formatter) +logger.addHandler(file_handler) + +# --- CONFIGURATION --- +load_dotenv(os.path.join(current_dir, '.env')) + +TELEGRAM_ENABLED = os.getenv('TELEGRAM_MONITOR_ENABLED', 'False').lower() == 'true' +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')) +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') + +class TelegramNotifier: + """Handles Telegram API communication""" + + def __init__(self, bot_token: str, chat_id: str): + self.bot_token = bot_token + self.chat_id = chat_id + self.base_url = f"https://api.telegram.org/bot{bot_token}" + + def test_connection(self) -> bool: + """Test Telegram bot connection""" + try: + url = f"{self.base_url}/getMe" + response = requests.get(url, timeout=TELEGRAM_TIMEOUT) + return response.status_code == 200 + except Exception as e: + logger.error(f"Telegram connection test failed: {e}") + return False + + def send_message(self, text: str) -> bool: + """Send message to Telegram chat""" + if not TELEGRAM_ENABLED or not self.bot_token or not self.chat_id: + logger.debug("Telegram notifications disabled or missing credentials") + return False + + try: + url = f"{self.base_url}/sendMessage" + payload = { + 'chat_id': self.chat_id, + 'text': text, + 'parse_mode': 'Markdown' + } + + response = requests.post(url, json=payload, timeout=TELEGRAM_TIMEOUT) + result = response.json() + + if result.get('ok'): + logger.info("Telegram notification sent successfully") + return True + else: + logger.error(f"Telegram API error: {result}") + return False + + except Exception as e: + logger.error(f"Failed to send Telegram message: {e}") + return False + + def format_position_message(self, last_closed: Optional[Dict], current_open: Dict) -> str: + """Format position data into readable message""" + lines = ["NEW CLP POSITION DETECTED\n"] + + # Previous closed position section + if last_closed: + lines.append("LAST CLOSED POSITION:") + lines.append(f"โ€ข Token ID: {last_closed.get('token_id', 'N/A')}") + lines.append(f"โ€ข Entry: ${last_closed.get('entry_price', 0):.2f}") + lines.append(f"โ€ข Target Value: ${last_closed.get('target_value', 0):.2f}") + + # Add duration if timestamps available + if last_closed.get('timestamp_open') and last_closed.get('timestamp_close'): + duration = last_closed['timestamp_close'] - last_closed['timestamp_open'] + hours = duration // 3600 + minutes = (duration % 3600) // 60 + lines.append(f"โ€ข Duration: {hours}h {minutes}m") + + # Add hedge performance if available + hedge_pnl = last_closed.get('hedge_pnl_realized', 0) + if hedge_pnl != 0: + lines.append(f"โ€ข Hedge PnL: ${hedge_pnl:.2f}") + + hedge_fees = last_closed.get('hedge_fees_paid', 0) + if hedge_fees != 0: + lines.append(f"โ€ข Hedge Fees: ${hedge_fees:.2f}") + else: + lines.append("LAST CLOSED POSITION: None") + + lines.append("") # Empty line + + # Current opened position section + lines.append("CURRENTLY OPENED:") + lines.append(f"โ€ข Token ID: {current_open.get('token_id', 'N/A')}") + lines.append(f"โ€ข Entry: ${current_open.get('entry_price', 0):.2f}") + lines.append(f"โ€ข Target Value: ${current_open.get('target_value', 0):.2f}") + + # Range information + range_lower = current_open.get('range_lower', 0) + range_upper = current_open.get('range_upper', 0) + if range_lower and range_upper: + lines.append(f"โ€ข Range: ${range_lower:.2f} - ${range_upper:.2f}") + + # Initial amounts + amount0 = current_open.get('amount0_initial', 0) + amount1 = current_open.get('amount1_initial', 0) + if amount0 and amount1: + lines.append(f"โ€ข Initial: {amount0:.4f} ETH + {amount1:.2f} USDC") + + # Time since opening + if current_open.get('timestamp_open'): + age = int(time.time()) - current_open['timestamp_open'] + hours = age // 3600 + minutes = (age % 3600) // 60 + lines.append(f"โ€ข Time: {hours}h {minutes}m ago") + + # Performance comparison if we have both positions + if last_closed and current_open: + lines.append("") # Empty line + lines.append("PERFORMANCE COMPARISON:") + + # Entry price change + last_entry = Decimal(str(last_closed.get('entry_price', 0))) + curr_entry = Decimal(str(current_open.get('entry_price', 0))) + if last_entry > 0: + entry_change = curr_entry - last_entry + entry_change_pct = (entry_change / last_entry) * 100 + sign = "+" if entry_change >= 0 else "" + lines.append(f"โ€ข Entry Change: {sign}${entry_change:.2f} ({sign}{entry_change_pct:.2f}%)") + + # Value change + last_value = Decimal(str(last_closed.get('target_value', 0))) + curr_value = Decimal(str(current_open.get('target_value', 0))) + if last_value > 0: + value_change = curr_value - last_value + value_change_pct = (value_change / last_value) * 100 + sign = "+" if value_change >= 0 else "" + lines.append(f"โ€ข Value Change: {sign}${value_change:.2f} ({sign}{value_change_pct:.2f}%)") + + # Hedge PnL trend + last_hedge_pnl = last_closed.get('hedge_pnl_realized', 0) + curr_hedge_equity = current_open.get('hedge_equity_usd', 0) + if last_hedge_pnl != 0 and curr_hedge_equity != 0: + hedge_trend = curr_hedge_equity - last_hedge_pnl + sign = "+" if hedge_trend >= 0 else "" + lines.append(f"โ€ข Hedge PnL Trend: ${last_hedge_pnl:.2f} -> ${curr_hedge_equity:.2f} ({sign}${hedge_trend:.2f})") + + return "\n".join(lines) + + +class PositionMonitor: + """Monitors hedge_status.json for changes""" + + def __init__(self, json_file_path: str, state_file_path: str): + self.json_file_path = json_file_path + self.state_file_path = state_file_path + self.last_known_data = [] + self.last_file_hash = "" + self.state = self.load_state() + + def load_state(self) -> Dict[str, Any]: + """Load monitor state from file""" + try: + if os.path.exists(self.state_file_path): + with open(self.state_file_path, 'r') as f: + return json.load(f) + except Exception as e: + logger.warning(f"Could not load state file: {e}") + + return { + "last_known_open_positions": [], + "last_processed_timestamp": 0, + "last_file_hash": "" + } + + def save_state(self): + """Save monitor state to file""" + try: + with open(self.state_file_path, 'w') as f: + json.dump(self.state, f, indent=2) + except Exception as e: + logger.error(f"Could not save state file: {e}") + + def get_file_hash(self, data: List[Dict]) -> str: + """Generate hash of file content to detect changes""" + content = json.dumps(data, sort_keys=True) + return hashlib.md5(content.encode()).hexdigest() + + def safe_read_json(self) -> List[Dict]: + """Safely read JSON file with retry logic""" + attempts = 0 + while attempts < 3: + try: + if not os.path.exists(self.json_file_path): + logger.warning(f"JSON file not found: {self.json_file_path}") + return [] + + with open(self.json_file_path, 'r') as f: + return json.load(f) + + except (json.JSONDecodeError, IOError) as e: + logger.warning(f"Attempt {attempts + 1}: Error reading JSON file: {e}") + time.sleep(1) + attempts += 1 + + logger.error("Failed to read JSON file after 3 attempts") + return [] + + def extract_notification_data(self, data: List[Dict]) -> Tuple[Optional[Dict], Optional[Dict]]: + """Extract last closed and current open positions""" + current_open = None + last_closed = None + + # Find current open position + for item in data: + if item.get('status') == 'OPEN': + current_open = item + break + + # Find most recent closed position + closed_positions = [item for item in data if item.get('status') == 'CLOSED'] + if closed_positions: + # Sort by timestamp_open (descending) to get most recent + closed_positions.sort(key=lambda x: x.get('timestamp_open', 0), reverse=True) + last_closed = closed_positions[0] + + return last_closed, current_open + + def check_for_changes(self) -> bool: + """Check if there are changes requiring notification""" + current_data = self.safe_read_json() + + if not current_data: + return False + + # Check if file content actually changed + current_hash = self.get_file_hash(current_data) + if current_hash == self.state.get("last_file_hash", ""): + return False + + # Extract positions + last_closed, current_open = self.extract_notification_data(current_data) + + if not current_open: + # No open position, nothing to notify about + return False + + current_open_id = current_open.get('token_id') + last_known_opens = self.state.get("last_known_open_positions", []) + + # Check if this is a new open position + if current_open_id not in last_known_opens: + # New position detected! + self.last_known_data = current_data + return True + + return False + + def get_notification_data(self) -> Tuple[Optional[Dict], Optional[Dict]]: + """Get data for notification""" + current_data = self.safe_read_json() + return self.extract_notification_data(current_data) + + def update_state(self): + """Update internal state after notification""" + current_data = self.safe_read_json() + if current_data: + _, current_open = self.extract_notification_data(current_data) + + if current_open: + # Update state with current open positions + self.state["last_known_open_positions"] = [current_open.get('token_id')] + self.state["last_processed_timestamp"] = int(time.time()) + self.state["last_file_hash"] = self.get_file_hash(current_data) + self.save_state() + + +def main(): + """Main monitoring loop""" + logger.info("๐Ÿค– Telegram Monitor Starting...") + + notifier = None + if not TELEGRAM_ENABLED: + logger.info("๐Ÿ“ต Telegram notifications disabled (TELEGRAM_MONITOR_ENABLED=False)") + else: + if not TELEGRAM_BOT_TOKEN or not TELEGRAM_CHAT_ID: + logger.error("โŒ Telegram enabled but missing BOT_TOKEN or CHAT_ID") + return + + # Initialize notifier and test connection + notifier = TelegramNotifier(TELEGRAM_BOT_TOKEN, TELEGRAM_CHAT_ID) + if not notifier.test_connection(): + logger.error("โŒ Telegram connection failed - check token and network") + return + + logger.info(f"โœ… Telegram connection established to chat ID: {TELEGRAM_CHAT_ID}") + + # Initialize monitor + monitor = PositionMonitor(HEDGE_STATUS_FILE, TELEGRAM_STATE_FILE) + + logger.info(f"Monitoring file: {HEDGE_STATUS_FILE}") + logger.info(f"Check interval: {TELEGRAM_CHECK_INTERVAL} seconds") + logger.info(f"State file: {TELEGRAM_STATE_FILE}") + + try: + while True: + try: + if monitor.check_for_changes(): + logger.info("New position opening detected!") + + if TELEGRAM_ENABLED and notifier: + last_closed, current_open = monitor.get_notification_data() + + if current_open: + message = notifier.format_position_message(last_closed, current_open) + success = notifier.send_message(message) + + if success: + monitor.update_state() + logger.info(f"Notification sent for position {current_open.get('token_id')}") + else: + logger.error("Failed to send notification") + else: + logger.warning("Position change detected but no open position found") + else: + logger.info("Telegram disabled or notifier not available - skipping notification") + monitor.update_state() # Still update state to avoid loops + else: + logger.debug("No changes detected") + + time.sleep(TELEGRAM_CHECK_INTERVAL) + + except KeyboardInterrupt: + break + except Exception as e: + logger.error(f"Error in monitoring loop: {e}") + time.sleep(TELEGRAM_CHECK_INTERVAL) # Continue after error + + except KeyboardInterrupt: + logger.info("Shutting down Telegram Monitor...") + + logger.info("Telegram Monitor stopped") + + +if __name__ == "__main__": + main() \ No newline at end of file diff --git a/telegram_monitor_state.json b/telegram_monitor_state.json new file mode 100644 index 0000000..162c923 --- /dev/null +++ b/telegram_monitor_state.json @@ -0,0 +1,7 @@ +{ + "last_known_open_positions": [ + 5173016 + ], + "last_processed_timestamp": 1766572620, + "last_file_hash": "ebd0d929cd0b382919cfc9e5a9523006" +} \ No newline at end of file diff --git a/todo/fishing_orders.md b/todo/fishing_orders.md new file mode 100644 index 0000000..86eb695 --- /dev/null +++ b/todo/fishing_orders.md @@ -0,0 +1,96 @@ +# [Feature Name / Analysis Topic] - fishing orders + +**Status:** in progress +**Started:** 2025/12/23 +**Last Updated:** `[YYYY-MM-DD]` +**Tags:** `[Tag1, Tag2]` + +--- + +## 1. Origin & Context (The "Why") +*This section captures the inception of the idea. What was the problem, and what was the initial vision?* + +* **Goal:** create additional reveniue, increase TotPnL, +* **Initial State:** currently we are under the water in total (clp position+fees+ TotPnL if closed hedge) ~$10-20, after 24h (clp position 2000, range +/-1%, fees $5) +* **Trigger:** to make a hedger real delta-zero to clp position +* **Original Hypothesis:** make small reveniue will help with it + + +--- + +## 2. Chronological Evolution (The Journey) +*A living diary of the process. Add new entries top-down as the feature evolves. This is the story of "How we got here".* + +### ๐Ÿ“… Entry 1: 2025-12-23 - Initial Implementation +* **Objective:** Implement a "Fishing" mechanism to capture Maker rebates and reduce hedge size at break-even prices. +* **Investigation:** + * *Findings:* Identified that when the price is in the "Safe Zone" (near entry), the bot sits idle. This is an opportunity to place resting Maker orders to "fish" for better entries/exits than standard Taker rebalances. +* **Current Implementation:** + * **Logic:** Places a Maker BUY order (`Alo` - Add Liquidity Only) at the `hedge_entry_price` when current market price is above entry. + * **Size:** 10% of the target hedge size (`FISHING_ORDER_SIZE_PCT = 0.10`). + * **Management:** The order is tracked via `self.fishing_oid` and is automatically cancelled before any standard rebalance trade to avoid size conflicts. +* **Decision:** Start with a conservative 10% size and only for closing/reducing the hedge (Buy-to-Close when price is above entry) to validate the "Maker fill" probability without over-exposing. + +### ๐Ÿ“… Entry 2: 2025-12-23 - Analysis of Symmetric Fishing (Bottom-Side) +* **Objective:** Analyze the potential of adding a "Sell" fishing order when price is below entry (Symmetric Grid). +* **Investigation:** + * *Scenario:* Price is 1900 (Down). Entry is 2000. Hedger is Short. + * *Logic:* A Limit SELL at 2000 is a valid Maker order (Above current price). + * *Effect:* If filled, it increases the Short position at 2000. Since the neutral target at 2000 is fixed, this results in being slightly "Over-Hedged" (Short Delta) at Entry. + * *Strategic Value:* This creates a "Mean Reversion" or "Grid" effect around the entry. + * *Top Side (Buy at Entry):* Profitable if price drops to Entry and bounces up. + * *Bottom Side (Sell at Entry):* Profitable if price rises to Entry and rejects down. + * *Verdict:* This is beneficial. It helps offset hedging costs (which typically lose money in chop) by actively trading the chop around the entry price. +* **Decision:** Implement the symmetric bottom-side fishing order. + * If `Price < Entry`: Place Maker SELL at Entry. + * If `Price > Entry`: Place Maker BUY at Entry. + +### ๐Ÿ“… Entry 3: 2025-12-23 - Implementation of Symmetric Fishing +* **Action Taken:** Modified `clp_hedger.py` to allow fishing orders on both sides of the entry price. +* **Result:** + * When `Price > Entry`: Places Maker **BUY** at Entry (Reduce Short). + * When `Price < Entry`: Places Maker **SELL** at Entry (Increase Short). +* **Safety Features:** + * Added a 0.1% price buffer (`dist_pct > 0.001`) to prevent placing orders too close to the market price, which could result in unintended Taker trades or API rejections for `Alo` orders. + * Maintains the existing 10% size restriction to ensure fishing doesn't drastically warp the delta profile. + +--- + +## 3. Final Technical Solution (The "How") +*The consolidated, final design documentation.* + +### 3.1 Architecture & Logic +* **Core Components:** `ScalperHedger` class in `clp_hedger.py`. +* **Data Flow:** + 1. Bot checks for active standard rebalance orders. If none exist, it enters "Fishing Mode". + 2. Compares `current_mid_price` against the `hedge_entry_price` from the exchange. + 3. Determines side: BUY if price is above entry, SELL if price is below entry. + 4. Places an `Alo` (Add Liquidity Only) Limit order at the exact `hedge_entry_price`. +* **Configuration:** + * `FISHING_ORDER_SIZE_PCT = 0.10`: Size of the fishing order relative to the current target hedge. + +### 3.2 Key Constraints & Edge Cases +* **Safe Zone Only:** Only active when no other orders are pending. +* **Rebalance Priority:** Automatically cancelled before any rebalance trade to avoid over-exposure. +* **Maker Buffer:** Only placed if market price is >0.1% away from entry to ensure Maker status. + +--- + +## 4. Retrospective (The "Cookbook" of Fails & Ups) +*Summary of lessons learned. "Read this before touching this code again."* + +### โŒ What Failed (Pitfalls to Avoid) +* *Trap:* [Don't try doing X, because Y will happen.] +* *False Assumption:* [We thought Z was true, but it wasn't.] + +### โœ… What Worked (Success Factors) +* *Key Insight:* [The breakthrough was...] +* *Design Pattern:* [This specific pattern proved robust.] + +--- + +## 5. Artifacts & References +* **Affected Files:** + * `[path/to/file.py]` +* **Commits:** `[git hash or description]` +* **External Links:** `[URLs]` \ No newline at end of file diff --git a/tools/.env.example b/tools/.env.example new file mode 100644 index 0000000..d9f01da --- /dev/null +++ b/tools/.env.example @@ -0,0 +1,18 @@ +# Base Chain Configuration +BASE_RPC_URL=https://mainnet.base.org # or your preferred Base RPC provider + +# Wallet Configuration +MAIN_WALLET_PRIVATE_KEY=your_private_key_here +# or +PRIVATE_KEY=your_private_key_here + +# Telegram Notifications (Optional) +TELEGRAM_MONITOR_ENABLED=False +TELEGRAM_BOT_TOKEN=your_telegram_bot_token +TELEGRAM_CHAT_ID=your_telegram_chat_id +TELEGRAM_CHECK_INTERVAL_SECONDS=60 +TELEGRAM_TIMEOUT_SECONDS=10 +TELEGRAM_STATE_FILE=telegram_monitor_state.json + +# Optional: Custom hedge status file path +HEDGE_STATUS_FILE=hedge_status.json \ No newline at end of file diff --git a/tools/README_TELEGRAM.md b/tools/README_TELEGRAM.md new file mode 100644 index 0000000..aacf86a --- /dev/null +++ b/tools/README_TELEGRAM.md @@ -0,0 +1,194 @@ +# CLP Telegram Notification Monitor + +## Overview + +Standalone Python script that monitors your CLP (Concentrated Liquidity Pool) positions and sends Telegram notifications when new positions are opened. + +## Features + +- ๐Ÿ” **File-based Monitoring**: Watches `hedge_status.json` every 60 seconds +- ๐Ÿ“Š **Rich Notifications**: Shows last closed position vs currently opened position +- ๐Ÿ”ง **Zero Integration**: No modifications to existing trading logic required +- ๐Ÿ›ก๏ธ **Safe Operation**: Graceful error handling, won't affect trading system +- ๐Ÿ“ˆ **Performance Tracking**: Compares entry prices, values, and hedge PnL + +## Setup Instructions + +### 1. Install Dependencies + +```bash +pip install requests python-dotenv +``` + +### 2. Create Telegram Bot + +1. Open Telegram and search for **@BotFather** +2. Send: `/newbot` +3. Choose a name for your bot (e.g., "CLP Position Monitor") +4. Choose a username (must end with 'bot', e.g., "clp_monitor_bot") +5. Copy the **HTTP API token** from BotFather + +### 3. Get Your Chat ID + +1. Send any message to your new bot first +2. Run the setup script: `python tools/telegram_setup.py` +3. Choose option "2. Get Chat ID" and enter your bot token +4. Copy your Chat ID + +### 4. Configure Environment + +Add to your `.env` file: + +```bash +# Enable Telegram notifications +TELEGRAM_MONITOR_ENABLED=True + +# Your bot credentials +TELEGRAM_BOT_TOKEN=123456789:ABCdefGHIjklMNOpqrsTUVwxyz +TELEGRAM_CHAT_ID=123456789 + +# Optional settings +TELEGRAM_CHECK_INTERVAL_SECONDS=60 +TELEGRAM_TIMEOUT_SECONDS=10 +TELEGRAM_STATE_FILE=telegram_monitor_state.json +HEDGE_STATUS_FILE=hedge_status.json +``` + +### 5. Run the Monitor + +```bash +python tools/telegram_monitor.py +``` + +## Usage + +### Running as Background Process + +**Option 1: Simple Background** +```bash +nohup python tools/telegram_monitor.py > logs/telegram_monitor.log 2>&1 & +``` + +**Option 2: Screen Session** +```bash +screen -S telegram_monitor +python tools/telegram_monitor.py +# Press Ctrl+A, D to detach +``` + +**Option 3: Systemd Service** (Linux) +Create `/etc/systemd/system/clp-telegram-monitor.service`: +```ini +[Unit] +Description=CLP Telegram Monitor +After=network.target + +[Service] +Type=simple +User=your_username +WorkingDirectory=/path/to/uniswap_auto_clp +ExecStart=/usr/bin/python3 tools/telegram_monitor.py +Restart=always +RestartSec=30 + +[Install] +WantedBy=multi-user.target +``` + +Enable and start: +```bash +sudo systemctl enable clp-telegram-monitor +sudo systemctl start clp-telegram-monitor +``` + +## Message Format Example + +When a new position opens, you'll receive: + +``` +๐Ÿš€ NEW CLP POSITION DETECTED + +๐Ÿ“Š LAST CLOSED POSITION: +โ€ข Token ID: 5171687 +โ€ข Entry: $3043.86 +โ€ข Target Value: $1985.02 +โ€ข Duration: 2h 14m +โ€ข Hedge PnL: -$20.99 +โ€ข Hedge Fees: $2.30 + +๐Ÿ”ฅ CURRENTLY OPENED: +โ€ข Token ID: 5173016 +โ€ข Entry: $2993.72 +โ€ข Target Value: $1935.04 +โ€ข Range: $2849.80 - $3140.07 +โ€ข Initial: 0.3181 ETH + 982.71 USDC +โ€ข Time: 2h 15m ago + +๐Ÿ“ˆ PERFORMANCE COMPARISON: +โ€ข Entry Change: -$50.14 (-1.65%) +โ€ข Value Change: -$49.98 (-2.52%) +โ€ข Hedge PnL Trend: -$20.99 โ†’ $2.75 (+$23.74) +``` + +## Configuration Options + +| Variable | Default | Description | +|----------|----------|-------------| +| `TELEGRAM_MONITOR_ENABLED` | `False` | Enable/disable notifications | +| `TELEGRAM_BOT_TOKEN` | Required | Your bot's HTTP API token | +| `TELEGRAM_CHAT_ID` | Required | Your personal chat ID | +| `TELEGRAM_CHECK_INTERVAL_SECONDS` | `60` | How often to check for changes | +| `TELEGRAM_TIMEOUT_SECONDS` | `10` | Telegram API timeout | +| `TELEGRAM_STATE_FILE` | `telegram_monitor_state.json` | Internal state tracking | +| `HEDGE_STATUS_FILE` | `hedge_status.json` | File to monitor | + +## Troubleshooting + +### Bot Not Receiving Messages +- Ensure you've sent a message to your bot first +- Check that `TELEGRAM_CHAT_ID` is correct (no quotes) +- Verify bot token has no extra spaces + +### No Notifications When Position Opens +- Check `TELEGRAM_MONITOR_ENABLED=True` +- Verify the script is running: `ps aux | grep telegram_monitor` +- Check logs: `tail -f logs/telegram_monitor.log` +- Ensure `hedge_status.json` path is correct + +### Telegram API Errors +- Verify bot token format (should have colon: `123:ABC`) +- Check internet connectivity +- Try running setup script to test connection + +### File Not Found Errors +- Make sure you're running from project root directory +- Verify `hedge_status.json` exists and has correct permissions +- Check that your trading system is generating the status file + +## Security Notes + +- **Never share your bot token** - it's like a password +- **Store credentials in `.env`** - never commit to git +- **Limit bot permissions** - only send messages, no admin rights +- **Monitor logs regularly** for any unusual activity + +## Files Created + +- `tools/telegram_monitor.py` - Main monitoring script +- `tools/telegram_setup.py` - Setup helper script +- `tools/.env.example` - Environment template +- `telegram_monitor_state.json` - Internal state (auto-created) +- `logs/telegram_monitor.log` - Monitor logs (auto-created) + +## Integration Notes + +This monitor is **completely standalone** and: + +- โœ… Does not modify your trading logic +- โœ… Does not interfere with uniswap_manager.py +- โœ… Does not affect clp_hedger.py +- โœ… Safe to run alongside existing processes +- โœ… Can be stopped/started independently +- โœ… Uses minimal system resources + +The monitor simply reads the status file that your existing trading system already generates, making it safe and non-intrusive. \ No newline at end of file diff --git a/tools/telegram_monitor.py b/tools/telegram_monitor.py new file mode 100644 index 0000000..ad1926a --- /dev/null +++ b/tools/telegram_monitor.py @@ -0,0 +1,394 @@ +#!/usr/bin/env python3 +""" +Telegram Monitor for CLP Position Notifications +Monitors hedge_status.json file for new position openings and sends Telegram notifications +""" + +import os +import sys +import time +import json +import logging +import hashlib +import requests +from datetime import datetime +from decimal import Decimal +from typing import Optional, Dict, List, Tuple, Any +from dotenv import load_dotenv + +# --- SETUP PROJECT PATH --- +current_dir = os.path.dirname(os.path.abspath(__file__)) +project_root = os.path.dirname(current_dir) +sys.path.append(current_dir) + +# --- LOGGING SETUP --- +os.makedirs(os.path.join(current_dir, 'logs'), exist_ok=True) + +class UnixMsLogFilter(logging.Filter): + def filter(self, record): + record.unix_ms = int(record.created * 1000) + return True + +logger = logging.getLogger("TELEGRAM_MONITOR") +logger.setLevel(logging.INFO) +logger.propagate = False +logger.handlers.clear() + +# Console handler +console_handler = logging.StreamHandler() +console_handler.setLevel(logging.INFO) +console_formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s') +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') +file_handler.setLevel(logging.INFO) +file_handler.addFilter(UnixMsLogFilter()) +file_formatter = logging.Formatter('%(unix_ms)d, %(asctime)s - %(name)s - %(levelname)s - %(message)s') +file_handler.setFormatter(file_formatter) +logger.addHandler(file_handler) + +# --- CONFIGURATION --- +load_dotenv(os.path.join(current_dir, '.env')) + +TELEGRAM_ENABLED = os.getenv('TELEGRAM_MONITOR_ENABLED', 'False').lower() == 'true' +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')) +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') + +class TelegramNotifier: + """Handles Telegram API communication""" + + def __init__(self, bot_token: str, chat_id: str): + self.bot_token = bot_token + self.chat_id = chat_id + self.base_url = f"https://api.telegram.org/bot{bot_token}" + + def test_connection(self) -> bool: + """Test Telegram bot connection""" + try: + url = f"{self.base_url}/getMe" + response = requests.get(url, timeout=TELEGRAM_TIMEOUT) + return response.status_code == 200 + except Exception as e: + logger.error(f"Telegram connection test failed: {e}") + return False + + def send_message(self, text: str) -> bool: + """Send message to Telegram chat""" + if not TELEGRAM_ENABLED or not self.bot_token or not self.chat_id: + logger.debug("Telegram notifications disabled or missing credentials") + return False + + try: + url = f"{self.base_url}/sendMessage" + payload = { + 'chat_id': self.chat_id, + 'text': text, + 'parse_mode': 'Markdown' + } + + response = requests.post(url, json=payload, timeout=TELEGRAM_TIMEOUT) + result = response.json() + + if result.get('ok'): + logger.info("Telegram notification sent successfully") + return True + else: + logger.error(f"Telegram API error: {result}") + return False + + except Exception as e: + logger.error(f"Failed to send Telegram message: {e}") + return False + + def format_position_message(self, last_closed: Optional[Dict], current_open: Dict) -> str: + """Format position data into readable message""" + lines = ["NEW CLP POSITION DETECTED\n"] + + # Previous closed position section + if last_closed: + lines.append("LAST CLOSED POSITION:") + lines.append(f"โ€ข Token ID: {last_closed.get('token_id', 'N/A')}") + lines.append(f"โ€ข Entry: ${last_closed.get('entry_price', 0):.2f}") + lines.append(f"โ€ข Target Value: ${last_closed.get('target_value', 0):.2f}") + + # Add duration if timestamps available + if last_closed.get('timestamp_open') and last_closed.get('timestamp_close'): + duration = last_closed['timestamp_close'] - last_closed['timestamp_open'] + hours = duration // 3600 + minutes = (duration % 3600) // 60 + lines.append(f"โ€ข Duration: {hours}h {minutes}m") + + # Add hedge performance if available + hedge_pnl = last_closed.get('hedge_pnl_realized', 0) + if hedge_pnl != 0: + lines.append(f"โ€ข Hedge PnL: ${hedge_pnl:.2f}") + + hedge_fees = last_closed.get('hedge_fees_paid', 0) + if hedge_fees != 0: + lines.append(f"โ€ข Hedge Fees: ${hedge_fees:.2f}") + else: + lines.append("LAST CLOSED POSITION: None") + + lines.append("") # Empty line + + # Current opened position section + lines.append("CURRENTLY OPENED:") + lines.append(f"โ€ข Token ID: {current_open.get('token_id', 'N/A')}") + lines.append(f"โ€ข Entry: ${current_open.get('entry_price', 0):.2f}") + lines.append(f"โ€ข Target Value: ${current_open.get('target_value', 0):.2f}") + + # Range information + range_lower = current_open.get('range_lower', 0) + range_upper = current_open.get('range_upper', 0) + if range_lower and range_upper: + lines.append(f"โ€ข Range: ${range_lower:.2f} - ${range_upper:.2f}") + + # Initial amounts + amount0 = current_open.get('amount0_initial', 0) + amount1 = current_open.get('amount1_initial', 0) + if amount0 and amount1: + lines.append(f"โ€ข Initial: {amount0:.4f} ETH + {amount1:.2f} USDC") + + # Time since opening + if current_open.get('timestamp_open'): + age = int(time.time()) - current_open['timestamp_open'] + hours = age // 3600 + minutes = (age % 3600) // 60 + lines.append(f"โ€ข Time: {hours}h {minutes}m ago") + + # Performance comparison if we have both positions + if last_closed and current_open: + lines.append("") # Empty line + lines.append("PERFORMANCE COMPARISON:") + + # Entry price change + last_entry = Decimal(str(last_closed.get('entry_price', 0))) + curr_entry = Decimal(str(current_open.get('entry_price', 0))) + if last_entry > 0: + entry_change = curr_entry - last_entry + entry_change_pct = (entry_change / last_entry) * 100 + sign = "+" if entry_change >= 0 else "" + lines.append(f"โ€ข Entry Change: {sign}${entry_change:.2f} ({sign}{entry_change_pct:.2f}%)") + + # Value change + last_value = Decimal(str(last_closed.get('target_value', 0))) + curr_value = Decimal(str(current_open.get('target_value', 0))) + if last_value > 0: + value_change = curr_value - last_value + value_change_pct = (value_change / last_value) * 100 + sign = "+" if value_change >= 0 else "" + lines.append(f"โ€ข Value Change: {sign}${value_change:.2f} ({sign}{value_change_pct:.2f}%)") + + # Hedge PnL trend + last_hedge_pnl = last_closed.get('hedge_pnl_realized', 0) + curr_hedge_equity = current_open.get('hedge_equity_usd', 0) + if last_hedge_pnl != 0 and curr_hedge_equity != 0: + hedge_trend = curr_hedge_equity - last_hedge_pnl + sign = "+" if hedge_trend >= 0 else "" + lines.append(f"โ€ข Hedge PnL Trend: ${last_hedge_pnl:.2f} -> ${curr_hedge_equity:.2f} ({sign}${hedge_trend:.2f})") + + return "\n".join(lines) + + +class PositionMonitor: + """Monitors hedge_status.json for changes""" + + def __init__(self, json_file_path: str, state_file_path: str): + self.json_file_path = json_file_path + self.state_file_path = state_file_path + self.last_known_data = [] + self.last_file_hash = "" + self.state = self.load_state() + + def load_state(self) -> Dict[str, Any]: + """Load monitor state from file""" + try: + if os.path.exists(self.state_file_path): + with open(self.state_file_path, 'r') as f: + return json.load(f) + except Exception as e: + logger.warning(f"Could not load state file: {e}") + + return { + "last_known_open_positions": [], + "last_processed_timestamp": 0, + "last_file_hash": "" + } + + def save_state(self): + """Save monitor state to file""" + try: + with open(self.state_file_path, 'w') as f: + json.dump(self.state, f, indent=2) + except Exception as e: + logger.error(f"Could not save state file: {e}") + + def get_file_hash(self, data: List[Dict]) -> str: + """Generate hash of file content to detect changes""" + content = json.dumps(data, sort_keys=True) + return hashlib.md5(content.encode()).hexdigest() + + def safe_read_json(self) -> List[Dict]: + """Safely read JSON file with retry logic""" + attempts = 0 + while attempts < 3: + try: + if not os.path.exists(self.json_file_path): + logger.warning(f"JSON file not found: {self.json_file_path}") + return [] + + with open(self.json_file_path, 'r') as f: + return json.load(f) + + except (json.JSONDecodeError, IOError) as e: + logger.warning(f"Attempt {attempts + 1}: Error reading JSON file: {e}") + time.sleep(1) + attempts += 1 + + logger.error("Failed to read JSON file after 3 attempts") + return [] + + def extract_notification_data(self, data: List[Dict]) -> Tuple[Optional[Dict], Optional[Dict]]: + """Extract last closed and current open positions""" + current_open = None + last_closed = None + + # Find current open position + for item in data: + if item.get('status') == 'OPEN': + current_open = item + break + + # Find most recent closed position + closed_positions = [item for item in data if item.get('status') == 'CLOSED'] + if closed_positions: + # Sort by timestamp_open (descending) to get most recent + closed_positions.sort(key=lambda x: x.get('timestamp_open', 0), reverse=True) + last_closed = closed_positions[0] + + return last_closed, current_open + + def check_for_changes(self) -> bool: + """Check if there are changes requiring notification""" + current_data = self.safe_read_json() + + if not current_data: + return False + + # Check if file content actually changed + current_hash = self.get_file_hash(current_data) + if current_hash == self.state.get("last_file_hash", ""): + return False + + # Extract positions + last_closed, current_open = self.extract_notification_data(current_data) + + if not current_open: + # No open position, nothing to notify about + return False + + current_open_id = current_open.get('token_id') + last_known_opens = self.state.get("last_known_open_positions", []) + + # Check if this is a new open position + if current_open_id not in last_known_opens: + # New position detected! + self.last_known_data = current_data + return True + + return False + + def get_notification_data(self) -> Tuple[Optional[Dict], Optional[Dict]]: + """Get data for notification""" + current_data = self.safe_read_json() + return self.extract_notification_data(current_data) + + def update_state(self): + """Update internal state after notification""" + current_data = self.safe_read_json() + if current_data: + _, current_open = self.extract_notification_data(current_data) + + if current_open: + # Update state with current open positions + self.state["last_known_open_positions"] = [current_open.get('token_id')] + self.state["last_processed_timestamp"] = int(time.time()) + self.state["last_file_hash"] = self.get_file_hash(current_data) + self.save_state() + + +def main(): + """Main monitoring loop""" + logger.info("๐Ÿค– Telegram Monitor Starting...") + + notifier = None + if not TELEGRAM_ENABLED: + logger.info("๐Ÿ“ต Telegram notifications disabled (TELEGRAM_MONITOR_ENABLED=False)") + else: + if not TELEGRAM_BOT_TOKEN or not TELEGRAM_CHAT_ID: + logger.error("โŒ Telegram enabled but missing BOT_TOKEN or CHAT_ID") + return + + # Initialize notifier and test connection + notifier = TelegramNotifier(TELEGRAM_BOT_TOKEN, TELEGRAM_CHAT_ID) + if not notifier.test_connection(): + logger.error("โŒ Telegram connection failed - check token and network") + return + + logger.info(f"โœ… Telegram connection established to chat ID: {TELEGRAM_CHAT_ID}") + + # Initialize monitor + monitor = PositionMonitor(HEDGE_STATUS_FILE, TELEGRAM_STATE_FILE) + + logger.info(f"Monitoring file: {HEDGE_STATUS_FILE}") + logger.info(f"Check interval: {TELEGRAM_CHECK_INTERVAL} seconds") + logger.info(f"State file: {TELEGRAM_STATE_FILE}") + + try: + while True: + try: + if monitor.check_for_changes(): + logger.info("New position opening detected!") + + if TELEGRAM_ENABLED and notifier: + last_closed, current_open = monitor.get_notification_data() + + if current_open: + message = notifier.format_position_message(last_closed, current_open) + success = notifier.send_message(message) + + if success: + monitor.update_state() + logger.info(f"Notification sent for position {current_open.get('token_id')}") + else: + logger.error("Failed to send notification") + else: + logger.warning("Position change detected but no open position found") + else: + logger.info("Telegram disabled or notifier not available - skipping notification") + monitor.update_state() # Still update state to avoid loops + else: + logger.debug("No changes detected") + + time.sleep(TELEGRAM_CHECK_INTERVAL) + + except KeyboardInterrupt: + break + except Exception as e: + logger.error(f"Error in monitoring loop: {e}") + time.sleep(TELEGRAM_CHECK_INTERVAL) # Continue after error + + except KeyboardInterrupt: + logger.info("Shutting down Telegram Monitor...") + + logger.info("Telegram Monitor stopped") + + +if __name__ == "__main__": + main() \ No newline at end of file diff --git a/tools/telegram_setup.py b/tools/telegram_setup.py new file mode 100644 index 0000000..bf6f854 --- /dev/null +++ b/tools/telegram_setup.py @@ -0,0 +1,109 @@ +#!/usr/bin/env python3 +""" +Setup script for Telegram Bot notifications +Helps users create a Telegram bot and get required credentials +""" + +import webbrowser +import time + +def print_instructions(): + """Print setup instructions""" + print("๐Ÿค– TELEGRAM BOT SETUP INSTRUCTIONS") + print("=" * 50) + print() + print("1๏ธโƒฃ CREATE YOUR TELEGRAM BOT:") + print(" โ€ข Open Telegram and search for @BotFather") + print(" โ€ข Send: /newbot") + print(" โ€ข Choose a name for your bot") + print(" โ€ข Choose a username (must end with 'bot')") + print(" โ€ข BotFather will give you a HTTP API token") + print(" โ€ข Copy this token (it looks like: 123456789:ABCdefGHIjklMNOpqrsTUVwxyz)") + print() + print("2๏ธโƒฃ GET YOUR CHAT ID:") + print(" โ€ข Send a message to your new bot first (any message)") + print(" โ€ข Your bot will not work if you haven't messaged it first") + print(" โ€ข Use the script below to get your Chat ID") + print() + print("3๏ธโƒฃ CONFIGURE ENVIRONMENT:") + print(" โ€ข Add to your .env file:") + print(" TELEGRAM_MONITOR_ENABLED=True") + print(" TELEGRAM_BOT_TOKEN=your_bot_token_here") + print(" TELEGRAM_CHAT_ID=your_chat_id_here") + print() + print("4๏ธโƒฃ RUN THE MONITOR:") + print(" โ€ข python tools/telegram_monitor.py") + print() + print("=" * 50) + +def get_chat_id(): + """Get chat ID using bot token""" + print("๐Ÿ” CHAT ID FINDER") + print("-" * 20) + + token = input("Enter your bot token: ").strip() + if not token: + print("โŒ No token provided") + return + + try: + import requests + import json + + url = f"https://api.telegram.org/bot{token}/getUpdates" + response = requests.get(url, timeout=10) + data = response.json() + + if data.get('ok'): + updates = data.get('result', []) + if updates: + chat_id = updates[-1]['message']['chat']['id'] + print(f"โœ… Your Chat ID: {chat_id}") + print() + print("Add this to your .env file:") + print(f"TELEGRAM_CHAT_ID={chat_id}") + else: + print("โŒ No messages found") + print("Send a message to your bot first, then try again") + else: + print(f"โŒ Error: {data.get('description', 'Unknown error')}") + + except Exception as e: + print(f"โŒ Error getting Chat ID: {e}") + +def main(): + """Main setup menu""" + print("๐Ÿค– CLP TELEGRAM NOTIFICATION SETUP") + print("=" * 40) + print() + + while True: + print("Choose an option:") + print("1. Show setup instructions") + print("2. Get Chat ID") + print("3. Open BotFather (to create bot)") + print("4. Exit") + print() + + choice = input("Enter choice (1-4): ").strip() + + if choice == '1': + print_instructions() + elif choice == '2': + get_chat_id() + elif choice == '3': + print("Opening BotFather in Telegram...") + try: + webbrowser.open('https://t.me/BotFather') + except: + print("Could not open browser. Go to https://t.me/BotFather manually") + elif choice == '4': + print("Goodbye! ๐Ÿš€") + break + else: + print("Invalid choice. Try again.") + + print("\n" + "=" * 40 + "\n") + +if __name__ == "__main__": + main() \ No newline at end of file diff --git a/tools/test_telegram_monitor.py b/tools/test_telegram_monitor.py new file mode 100644 index 0000000..c6a662d --- /dev/null +++ b/tools/test_telegram_monitor.py @@ -0,0 +1,105 @@ +#!/usr/bin/env python3 +""" +Test script for Telegram Monitor functionality +Validates JSON parsing and message formatting +""" + +import sys +import os + +# Add the tools directory to the path +current_dir = os.path.dirname(os.path.abspath(__file__)) +sys.path.append(current_dir) + +from telegram_monitor import TelegramNotifier, PositionMonitor + +def test_json_parsing(): + """Test JSON parsing from hedge_status.json""" + print("Testing JSON parsing...") + + monitor = PositionMonitor("../hedge_status.json", "test_state.json") + data = monitor.safe_read_json() + + if not data: + print("โŒ Failed to read JSON data") + return False + + print(f"โœ… Successfully read {len(data)} positions") + + # Find open and closed positions + last_closed, current_open = monitor.extract_notification_data(data) + + if current_open: + print(f"โœ… Found open position: Token ID {current_open.get('token_id')}") + else: + print("โ„น๏ธ No open position found") + + if last_closed: + print(f"โœ… Found last closed: Token ID {last_closed.get('token_id')}") + else: + print("โ„น๏ธ No closed positions found") + + return True + +def test_message_formatting(): + """Test message formatting""" + print("\n๐Ÿงช Testing message formatting...") + + # Create test data + last_closed = { + "token_id": 1234567, + "entry_price": 3000.0, + "target_value": 2000.0, + "hedge_pnl_realized": -15.50, + "hedge_fees_paid": 2.25, + "timestamp_open": 1766328197, + "timestamp_close": 1766331797 + } + + current_open = { + "token_id": 1234568, + "entry_price": 2980.0, + "target_value": 1950.0, + "range_lower": 2900.0, + "range_upper": 3060.0, + "amount0_initial": 0.3, + "amount1_initial": 900.0, + "timestamp_open": 1766335400 + } + + notifier = TelegramNotifier("test_token", "test_chat") + message = notifier.format_position_message(last_closed, current_open) + + print("๐Ÿ“ฑ Sample message:") + print("-" * 40) + print(message) + print("-" * 40) + + return True + +def main(): + print("Telegram Monitor Test Suite") + print("=" * 50) + + success = True + + try: + if not test_json_parsing(): + success = False + + if not test_message_formatting(): + success = False + + except Exception as e: + print(f"โŒ Test failed with error: {e}") + success = False + + if success: + print("\nโœ… All tests passed! Telegram monitor is ready.") + else: + print("\nโŒ Some tests failed. Check the errors above.") + + return 0 if success else 1 + +if __name__ == "__main__": + sys.exit(main()) \ No newline at end of file diff --git a/tools/test_telegram_simple.py b/tools/test_telegram_simple.py new file mode 100644 index 0000000..0cbd767 --- /dev/null +++ b/tools/test_telegram_simple.py @@ -0,0 +1,64 @@ +#!/usr/bin/env python3 +""" +Simple test for Telegram Monitor functionality +""" + +import sys +import os + +# Add tools directory to path +current_dir = os.path.dirname(os.path.abspath(__file__)) +sys.path.append(current_dir) + +try: + from telegram_monitor import TelegramNotifier, PositionMonitor + + print("Testing Telegram Monitor components...") + + # Test with sample data + notifier = TelegramNotifier("test_token", "test_chat") + + last_closed = { + "token_id": 1234567, + "entry_price": 3000.0, + "target_value": 2000.0, + "hedge_pnl_realized": -15.50, + "hedge_fees_paid": 2.25, + "timestamp_open": 1766328197, + "timestamp_close": 1766331797 + } + + current_open = { + "token_id": 1234568, + "entry_price": 2980.0, + "target_value": 1950.0, + "range_lower": 2900.0, + "range_upper": 3060.0, + "amount0_initial": 0.3, + "amount1_initial": 900.0, + "timestamp_open": 1766335400 + } + + message = notifier.format_position_message(last_closed, current_open) + print("Message formatting test PASSED") + print("Sample message:") + print("-" * 40) + print(message) + print("-" * 40) + + # Test JSON reading if file exists + if os.path.exists("../hedge_status.json"): + monitor = PositionMonitor("../hedge_status.json", "test_state.json") + data = monitor.safe_read_json() + if data: + print(f"JSON reading test PASSED - found {len(data)} positions") + else: + print("JSON reading test FAILED") + + print("All tests completed successfully!") + +except ImportError as e: + print(f"Import error: {e}") + print("Make sure telegram_monitor.py is in the same directory") +except Exception as e: + print(f"Test error: {e}") \ No newline at end of file