feat: enhance trade tracking with fees, PnL, and refined logging (v1.7.3)

- Implement real-time fee and realized PnL tracking using get_executions.
- Rename 'side' column to 'trade' in CSV log and dashboard (Enter/Exit labels).
- Add automatic CSV header migration (side -> trade).
- Enhance dashboard with session PnL (USD/BTC), total fees, and used leverage.
- Improve signal detection with candle-internal crossover logic.
- Add robust retry mechanism with failure window tracking.
- Sync exchange leverage automatically based on direction.
- Update config with robustness and mode-specific leverage settings.
This commit is contained in:
Gemini CLI
2026-03-07 22:57:51 +01:00
parent 8fe8224762
commit f544b06753
3 changed files with 275 additions and 34 deletions

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@ -36,10 +36,10 @@ uvicorn src.api.server:app --reload --host 0.0.0.0 --port 8000
### Testing
```bash
# Test database connection
python test_db.py
python -c "from src.data_collector.database import get_db; print('Database connection test successful')"
# Run single test (no existing test framework found but for any future tests)
python -m pytest <test_file>.py::test_<function_name> -v
# Run single test (using pytest framework)
python -m pytest tests/ -v -k "test_function_name"
```
### Environment Setup
@ -157,4 +157,4 @@ DB_PASSWORD=your_password
- Only add dependencies to requirements.txt when necessary
- Check for conflicts with existing dependencies
- Keep dependency versions pinned to avoid breaking changes
- Avoid adding heavyweight dependencies unless truly required
- Avoid adding heavyweight dependencies unless truly required

View File

@ -1,7 +1,7 @@
# Ping-Pong Strategy Configuration
# Trading Pair & Timeframe
symbol: BTCUSDT
symbol: BTCUSD
interval: "1" # Minutes (1, 3, 5, 15, 30, 60, 120, 240, 360, 720, D, W, M)
# Indicator Settings
@ -9,25 +9,36 @@ rsi:
period: 14
overbought: 70
oversold: 30
TF: 1 # same as symbol's interval
enabled_for_open: true
enabled_for_close: true
hurst:
period: 30
multiplier: 1.8
TF: 1 # same as symbol's interval
enabled_for_open: true
enabled_for_close: true
# Strategy Settings
direction: "long" # "long" or "short"
capital: 1000.0 # Initial capital for calculations (informational)
exchange_leverage: 3.0 # Multiplier for each 'ping' size
max_effective_leverage: 1.0 # Cap on total position size relative to equity
leverage_long: 10.0 # Leverage for LONG mode
leverage_short: 5.0 # Leverage for SHORT mode
max_effective_leverage: 2.5 # Cap on total position size relative to equity
pos_size_margin: 20.0 # Margin per 'ping' (USD)
take_profit_pct: 1.5 # Target profit percentage per exit (1.5 = 1.5%)
#take_profit_pct: 1.5 # Target profit percentage per exit (1.5 = 1.5%)
partial_exit_pct: 0.15 # 15% of position closed on each TP hit
min_position_value_usd: 15.0 # Minimum remaining value to keep position open
# Execution Settings
loop_interval_seconds: 10 # How often to check for new data
loop_interval_seconds: 5 # How often to check for new data
debug_mode: false
# Robustness Settings
robustness:
enabled: true
max_retries: 3
retry_window_seconds: 300 # 5 minutes
autostart_on_reboot: true

View File

@ -86,7 +86,7 @@ class DatabaseManager:
class PingPongBot:
def __init__(self, config_path="config/ping_pong_config.yaml"):
self.version = "1.5.7"
self.version = "1.7.3"
with open(config_path, 'r') as f:
self.config = yaml.safe_load(f)
@ -132,27 +132,75 @@ class PingPongBot:
# Bot State
self.last_candle_time = None
self.last_candle_open = 0.0
self.last_candle_close = 0.0
self.last_candle_price = 0.0
self.current_indicators = {
"rsi": {"value": 0.0, "timestamp": "N/A"},
"hurst_lower": {"value": 0.0, "timestamp": "N/A"},
"hurst_upper": {"value": 0.0, "timestamp": "N/A"}
}
self.failure_history = []
self.position = None
self.wallet_balance = 0
self.available_balance = 0
self.start_equity = 0.0
self.start_equity_btc = 0.0
self.session_pnl = 0.0
self.session_pnl_btc = 0.0
self.total_fees = 0.0
self.total_realized_pnl = 0.0
self.market_price = 0.0
self.status_msg = "Initializing..."
self.last_signal = None
self.start_time = datetime.now()
self.console = Console()
# Transaction Logging
self.tx_log_path = "logs/ping_pong_transactions.csv"
self._init_tx_log()
# Fixed Parameters from Config
self.partial_exit_pct = float(self.config.get('partial_exit_pct', 0.15))
self.min_val_usd = float(self.config.get('min_position_value_usd', 15.0))
self.pos_size_margin = float(self.config.get('pos_size_margin', 20.0))
self.leverage = float(self.config.get('exchange_leverage', 3.0))
self.leverage_long = float(self.config.get('leverage_long', 10.0))
self.leverage_short = float(self.config.get('leverage_short', 3.0))
self.leverage = 1.0 # Current leverage
self.max_eff_lev = float(self.config.get('max_effective_leverage', 1.0))
def _init_tx_log(self):
"""Ensures CSV header exists and is up to date"""
header = "time,version,direction,symbol,trade,qty,price,leverage,pnl,fee,status\n"
if not os.path.exists(self.tx_log_path):
os.makedirs(os.path.dirname(self.tx_log_path), exist_ok=True)
with open(self.tx_log_path, 'w') as f:
f.write(header)
else:
# Check if we need to update the header from 'side' to 'trade'
try:
with open(self.tx_log_path, 'r') as f:
first_line = f.readline()
if "side" in first_line:
with open(self.tx_log_path, 'r') as f:
lines = f.readlines()
if lines:
lines[0] = header
with open(self.tx_log_path, 'w') as f:
f.writelines(lines)
logger.info("Updated CSV log header: 'side' -> 'trade'")
except Exception as e:
logger.error(f"Failed to update CSV header: {e}")
async def log_transaction(self, trade, qty, price, pnl=0, fee=0, status="Success"):
"""Appends a trade record to CSV"""
try:
with open(self.tx_log_path, 'a') as f:
t_str = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
f.write(f"{t_str},{self.version},{self.direction},{self.symbol},{trade},{qty},{price},{self.leverage},{pnl},{fee},{status}\n")
except Exception as e:
logger.error(f"Failed to write to CSV log: {e}")
def rma(self, series, length):
alpha = 1 / length
return series.ewm(alpha=alpha, adjust=False).mean()
@ -218,15 +266,20 @@ class PingPongBot:
self.category = "inverse"
self.symbol = f"{self.base_coin}USD"
self.settle_coin = self.base_coin
self.leverage = self.leverage_long
else:
self.category = "linear"
self.symbol = "BTCPERP" if self.base_coin == "BTC" else f"{self.base_coin}USDC"
self.settle_coin = "USDC"
self.leverage = self.leverage_short
# Perform swap
await self.swap_assets(new_direction)
logger.info(f"Bot configured for {self.direction.upper()} | Symbol: {self.symbol} | Category: {self.category}")
# Sync Leverage with Bybit
await self.set_exchange_leverage()
logger.info(f"Bot configured for {self.direction.upper()} | Symbol: {self.symbol} | Category: {self.category} | Leverage: {self.leverage}")
self.last_candle_time = None
return True
@ -236,6 +289,26 @@ class PingPongBot:
self.status_msg = f"Dir Error: {str(e)[:20]}"
return False
async def set_exchange_leverage(self):
"""Points Bybit API to set account leverage for current category/symbol"""
try:
if not self.category or not self.symbol: return
logger.info(f"Setting exchange leverage to {self.leverage}x for {self.symbol}...")
res = await asyncio.to_thread(self.session.set_leverage,
category=self.category,
symbol=self.symbol,
buyLeverage=str(self.leverage),
sellLeverage=str(self.leverage)
)
if res['retCode'] == 0:
logger.info(f"Leverage successfully set to {self.leverage}x")
elif res['retCode'] == 110043: # Leverage not modified
logger.info(f"Leverage is already {self.leverage}x")
else:
logger.warning(f"Bybit Leverage Warning: {res['retMsg']} (Code: {res['retCode']})")
except Exception as e:
logger.error(f"Failed to set leverage on Bybit: {e}")
async def close_all_positions(self):
"""Closes any active position in the current category/symbol"""
try:
@ -305,25 +378,65 @@ class PingPongBot:
if wallet['retCode'] == 0:
res_list = wallet['result']['list']
if res_list:
self.wallet_balance = float(res_list[0].get('totalWalletBalance', 0))
# Use totalEquity for NAV (Net Asset Value) tracking
current_equity = float(res_list[0].get('totalEquity', 0))
self.wallet_balance = current_equity
self.available_balance = float(res_list[0].get('totalAvailableBalance', 0))
# Calculate BTC-equivalent equity
current_equity_btc = current_equity / max(self.market_price, 1)
if self.start_equity == 0.0:
self.start_equity = current_equity
self.start_equity_btc = current_equity_btc
self.session_pnl = current_equity - self.start_equity
self.session_pnl_btc = current_equity_btc - self.start_equity_btc
except Exception as e:
logger.error(f"Exchange Sync Error: {e}")
def check_signals(self, df):
if len(df) < 2: return None
last, prev = df.iloc[-1], df.iloc[-2]
if len(df) < 3: return None
# finished = candle that just closed (e.g. 10:30)
# prev = candle before that (e.g. 10:29)
finished = df.iloc[-2]
prev = df.iloc[-3]
rsi_cfg, hurst_cfg = self.config['rsi'] or {}, self.config['hurst'] or {}
# Signals defined by crossover
l_open = (rsi_cfg.get('enabled_for_open') and prev['rsi'] < rsi_cfg.get('oversold', 30) and last['rsi'] >= rsi_cfg.get('oversold', 30)) or \
(hurst_cfg.get('enabled_for_open') and prev['close'] > prev['hurst_lower'] and last['close'] <= last['hurst_lower'])
l_close = (rsi_cfg.get('enabled_for_close') and prev['rsi'] > rsi_cfg.get('overbought', 70) and last['rsi'] <= rsi_cfg.get('overbought', 70)) or \
(hurst_cfg.get('enabled_for_close') and prev['close'] < prev['hurst_upper'] and last['close'] >= last['hurst_upper'])
def is_crossing_up(p_val, p_band, c_open, c_close, c_band):
# 1. Crossed up BETWEEN candles
between = p_val < p_band and c_close >= c_band
# 2. Crossed up WITHIN this candle
within = c_open is not None and c_open < c_band and c_close >= c_band
return between or within
def is_crossing_down(p_val, p_band, c_open, c_close, c_band):
# 1. Crossed down BETWEEN candles
between = p_val > p_band and c_close <= c_band
# 2. Crossed down WITHIN this candle
within = c_open is not None and c_open > c_band and c_close <= c_band
return between or within
# Hurst Signals - Only using 'is_crossing_down' as requested
h_upper_cross_down = is_crossing_down(prev['close'], prev['hurst_upper'], finished['open'], finished['close'], finished['hurst_upper'])
h_lower_cross_down = is_crossing_down(prev['close'], prev['hurst_lower'], finished['open'], finished['close'], finished['hurst_lower'])
# RSI Signals
rsi_cross_up = is_crossing_up(prev['rsi'], rsi_cfg.get('oversold', 30), None, finished['rsi'], rsi_cfg.get('oversold', 30))
rsi_cross_down = is_crossing_down(prev['rsi'], rsi_cfg.get('overbought', 70), None, finished['rsi'], rsi_cfg.get('overbought', 70))
s_open = (rsi_cfg.get('enabled_for_open') and prev['rsi'] > rsi_cfg.get('overbought', 70) and last['rsi'] <= rsi_cfg.get('overbought', 70)) or \
(hurst_cfg.get('enabled_for_open') and prev['close'] < prev['hurst_upper'] and last['close'] >= last['hurst_upper'])
s_close = (rsi_cfg.get('enabled_for_close') and prev['rsi'] < rsi_cfg.get('oversold', 30) and last['rsi'] >= rsi_cfg.get('oversold', 30)) or \
(hurst_cfg.get('enabled_for_close') and prev['close'] > prev['hurst_lower'] and last['close'] <= last['hurst_lower'])
l_open = (rsi_cfg.get('enabled_for_open') and rsi_cross_up) or \
(hurst_cfg.get('enabled_for_open') and h_lower_cross_down)
l_close = (rsi_cfg.get('enabled_for_close') and rsi_cross_down) or \
(hurst_cfg.get('enabled_for_close') and h_upper_cross_down)
s_open = (rsi_cfg.get('enabled_for_open') and rsi_cross_down) or \
(hurst_cfg.get('enabled_for_open') and h_upper_cross_down)
s_close = (rsi_cfg.get('enabled_for_close') and rsi_cross_up) or \
(hurst_cfg.get('enabled_for_close') and h_lower_cross_down)
if self.direction == 'long':
return "open" if l_open else ("close" if l_close else None)
@ -359,7 +472,10 @@ class PingPongBot:
async def place_order(self, qty, is_close=False):
if not self.category or not self.symbol: return
side = "Sell" if (self.direction == "long" and is_close) or (self.direction == "short" and not is_close) else "Buy"
pos_idx = 1 if self.direction == "long" else 2
trade = "Exit" if is_close else "Enter"
# Using positionIdx=0 for One-Way Mode to avoid Error 10001
pos_idx = 0
try:
qty_str = str(int(qty)) if self.category == "inverse" else str(round(qty, 3))
@ -368,10 +484,46 @@ class PingPongBot:
qty=qty_str, reduceOnly=is_close, positionIdx=pos_idx
)
if res['retCode'] == 0:
self.last_signal = f"{side} {qty_str}"
self.status_msg = f"Order Success: {side}"
order_id = res['result']['orderId']
self.last_signal = f"{trade} {qty_str}"
self.status_msg = f"Order Success: {trade}"
# Fetch execution details for fees and PnL
await asyncio.sleep(1.5) # Wait for fill and indexing
exec_info = await asyncio.to_thread(self.session.get_executions,
category=self.category,
symbol=self.symbol,
orderId=order_id)
exec_fee = 0.0
exec_pnl = 0.0
exec_price = self.market_price
if exec_info['retCode'] == 0 and exec_info['result']['list']:
fills = exec_info['result']['list']
# Fees and closedPnl are in settleCoin (BTC for inverse, USDC for linear)
exec_fee = sum(float(f.get('execFee', 0)) for f in fills)
exec_pnl = sum(float(f.get('closedPnl', 0)) for f in fills)
exec_price = float(fills[0].get('execPrice', self.market_price))
# Convert to USD if in BTC for consistent tracking
if self.category == "inverse":
usd_fee = exec_fee * exec_price
usd_pnl = exec_pnl * exec_price
else:
usd_fee = exec_fee
usd_pnl = exec_pnl
self.total_fees += usd_fee
self.total_realized_pnl += usd_pnl
await self.log_transaction(trade, qty_str, exec_price, pnl=usd_pnl, fee=usd_fee, status="Filled")
else:
await self.log_transaction(trade, qty_str, self.market_price, status="Filled (No Exec Info)")
else:
self.status_msg = f"Order Error: {res['retMsg']}"
logger.error(f"Bybit Order Error: {res['retMsg']} (Code: {res['retCode']})")
await self.log_transaction(trade, qty_str, self.market_price, status=f"Error: {res['retMsg']}")
except Exception as e:
logger.error(f"Trade Error: {e}")
@ -382,7 +534,21 @@ class PingPongBot:
cfg_table.add_column("Property"); cfg_table.add_column("Value")
cfg_table.add_row("Symbol", self.symbol or "N/A"); cfg_table.add_row("Category", self.category or "N/A")
cfg_table.add_row("Market Price", f"${self.market_price:.2f}"); cfg_table.add_row("SMA(44, 1D)", f"${self.ma_44_val:.2f}")
cfg_table.add_row("Last Candle", f"{self.last_candle_time} (@${self.last_candle_price:.2f})")
cfg_table.add_row("Last Candle", f"{self.last_candle_time}")
cfg_table.add_row("Candle O / C", f"${self.last_candle_open:.2f} / ${self.last_candle_close:.2f}")
cfg_table.add_row("Leverage", f"{self.leverage}x")
# Running Stats
runtime = datetime.now() - self.start_time
runtime_str = str(runtime).split('.')[0] # Remove microseconds
pnl_color = "green" if self.session_pnl >= 0 else "red"
pnl_btc_color = "green" if self.session_pnl_btc >= 0 else "red"
cfg_table.add_row("Running Time", runtime_str)
cfg_table.add_row("Session PnL (USD)", f"[bold {pnl_color}]{'$' if self.session_pnl >= 0 else '-$'}{abs(self.session_pnl):.2f}[/]")
cfg_table.add_row("Session PnL (BTC)", f"[bold {pnl_btc_color}]{'{:+.6f}'.format(self.session_pnl_btc)} BTC[/]")
cfg_table.add_row("Total Fees", f"[bold red]-${self.total_fees:.2f}[/]")
cfg_table.add_row("Realized PnL", f"[bold {'green' if self.total_realized_pnl >= 0 else 'red'}]${self.total_realized_pnl:.2f}[/]")
ind_table = Table(title="INDICATORS", box=box.ROUNDED, expand=True)
ind_table.add_column("Indicator"); ind_table.add_column("Value"); ind_table.add_column("Updated")
@ -391,12 +557,31 @@ class PingPongBot:
ind_table.add_row(k.upper().replace("_", " "), f"{v['value']:.2f}", v['timestamp'])
pos_table = Table(title="POSITION", box=box.ROUNDED, expand=True)
pos_table.add_column("Account Equity"); pos_table.add_column("Size"); pos_table.add_column("Entry"); pos_table.add_column("PnL")
pos_table.add_column("Account Equity"); pos_table.add_column("Available"); pos_table.add_column("Size (BTC/USD)"); pos_table.add_column("Used Lev"); pos_table.add_column("PnL")
if self.position:
p_size = float(self.position['size'])
pnl = float(self.position['unrealisedPnl'])
pos_table.add_row(f"${self.wallet_balance:.2f}", self.position['size'], self.position['avgPrice'], f"[bold {'green' if pnl>=0 else 'red'}]${pnl:.2f}")
# Categorize by Inverse (BTCUSD) vs Linear (BTCPERP)
if self.category == "inverse":
size_usd = p_size
size_btc = size_usd / max(self.market_price, 1)
else:
size_btc = p_size
size_usd = size_btc * self.market_price
used_lev = size_usd / max(self.wallet_balance, 1)
pnl_str = f"[bold {'green' if pnl>=0 else 'red'}]${pnl:.2f}[/]"
pos_table.add_row(
f"${self.wallet_balance:.2f}",
f"${self.available_balance:.2f}",
f"{size_btc:.3f} / ${size_usd:.1f}",
f"{used_lev:.2f}x ({self.max_eff_lev}x)",
pnl_str
)
else:
pos_table.add_row(f"${self.wallet_balance:.2f}", "0", "-", "-")
pos_table.add_row(f"${self.wallet_balance:.2f}", f"${self.available_balance:.2f}", "0 / $0", f"0.00x ({self.max_eff_lev}x)", "-")
self.console.print(cfg_table); self.console.print(ind_table); self.console.print(pos_table)
self.console.print(f"[dim]Status: {self.status_msg} | Last Signal: {self.last_signal}[/]")
@ -433,7 +618,9 @@ class PingPongBot:
signal = self.check_signals(df)
if signal: await self.execute_trade(signal)
self.last_candle_time = latest['time']
self.last_candle_price = latest['close']
self.last_candle_open = float(latest['open'])
self.last_candle_close = float(latest['close'])
self.last_candle_price = self.last_candle_close
self.status_msg = f"New Candle: {latest['time'].strftime('%H:%M:%S')}"
self.render_dashboard()
@ -444,6 +631,49 @@ class PingPongBot:
await asyncio.sleep(5)
from math import floor
import sys
async def run_with_retries():
config_path = "config/ping_pong_config.yaml"
# Load config to see robustness settings
try:
with open(config_path, 'r') as f:
config = yaml.safe_load(f)
except Exception as e:
print(f"CRITICAL: Failed to load config: {e}")
sys.exit(1)
robust_cfg = config.get('robustness', {})
if not robust_cfg.get('enabled', True):
bot = PingPongBot(config_path)
await bot.run()
return
max_retries = robust_cfg.get('max_retries', 3)
window = robust_cfg.get('retry_window_seconds', 300)
failure_history = []
while True:
try:
bot = PingPongBot(config_path)
await bot.run()
# If run() returns normally, it means the bot stopped gracefully
break
except Exception as e:
now = time.time()
failure_history.append(now)
# Keep only failures within the window
failure_history = [t for t in failure_history if now - t <= window]
if len(failure_history) > max_retries:
logger.error(f"FATAL: Too many failures ({len(failure_history)}) within {window}s. Stopping bot.")
sys.exit(1)
wait_time = min(30, 5 * len(failure_history))
logger.warning(f"Bot crashed! Retry {len(failure_history)}/{max_retries} in {wait_time}s... Error: {e}")
await asyncio.sleep(wait_time)
if __name__ == "__main__":
bot = PingPongBot()
asyncio.run(bot.run())
asyncio.run(run_with_retries())