Simon Moisy
0c82c4f366
- Added FastAPI backend with core API endpoints for strategies, backtests, and data management. - Introduced Vue 3 frontend with a dark theme, enabling users to run backtests, adjust parameters, and compare results. - Implemented Pydantic schemas for request/response validation and SQLAlchemy models for database interactions. - Enhanced project structure with dedicated modules for services, routers, and components. - Updated dependencies in `pyproject.toml` and `frontend/package.json` to include FastAPI, SQLAlchemy, and Vue-related packages. - Improved `.gitignore` to exclude unnecessary files and directories.
370 lines
13 KiB
Python
370 lines
13 KiB
Python
"""
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Position Manager for Live Trading.
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Tracks open positions, manages risk, and handles SL/TP logic.
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"""
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import json
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import logging
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from datetime import datetime, timezone
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from pathlib import Path
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from typing import Optional
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from dataclasses import dataclass, field, asdict
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from .okx_client import OKXClient
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from .config import TradingConfig, PathConfig
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logger = logging.getLogger(__name__)
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@dataclass
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class Position:
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"""Represents an open trading position."""
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trade_id: str
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symbol: str
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side: str # "long" or "short"
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entry_price: float
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entry_time: str # ISO format
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size: float # Amount in base currency (e.g., ETH)
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size_usdt: float # Notional value in USDT
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stop_loss_price: float
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take_profit_price: float
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current_price: float = 0.0
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unrealized_pnl: float = 0.0
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unrealized_pnl_pct: float = 0.0
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order_id: str = "" # Entry order ID from exchange
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def update_pnl(self, current_price: float) -> None:
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"""Update unrealized PnL based on current price."""
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self.current_price = current_price
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if self.side == "long":
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self.unrealized_pnl = (current_price - self.entry_price) * self.size
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self.unrealized_pnl_pct = (current_price / self.entry_price - 1) * 100
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else: # short
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self.unrealized_pnl = (self.entry_price - current_price) * self.size
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self.unrealized_pnl_pct = (1 - current_price / self.entry_price) * 100
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def should_stop_loss(self, current_price: float) -> bool:
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"""Check if stop-loss should trigger."""
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if self.side == "long":
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return current_price <= self.stop_loss_price
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return current_price >= self.stop_loss_price
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def should_take_profit(self, current_price: float) -> bool:
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"""Check if take-profit should trigger."""
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if self.side == "long":
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return current_price >= self.take_profit_price
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return current_price <= self.take_profit_price
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def to_dict(self) -> dict:
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"""Convert to dictionary for JSON serialization."""
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return asdict(self)
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@classmethod
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def from_dict(cls, data: dict) -> 'Position':
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"""Create Position from dictionary."""
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return cls(**data)
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class PositionManager:
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"""
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Manages trading positions with persistence.
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Tracks open positions, enforces risk limits, and handles
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position lifecycle (open, update, close).
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"""
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def __init__(
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self,
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okx_client: OKXClient,
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trading_config: TradingConfig,
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path_config: PathConfig
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):
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self.client = okx_client
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self.config = trading_config
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self.paths = path_config
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self.positions: dict[str, Position] = {}
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self.trade_log: list[dict] = []
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self._load_positions()
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def _load_positions(self) -> None:
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"""Load positions from file."""
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if self.paths.positions_file.exists():
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try:
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with open(self.paths.positions_file, 'r') as f:
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data = json.load(f)
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for trade_id, pos_data in data.items():
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self.positions[trade_id] = Position.from_dict(pos_data)
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logger.info(f"Loaded {len(self.positions)} positions from file")
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except Exception as e:
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logger.warning(f"Could not load positions: {e}")
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def save_positions(self) -> None:
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"""Save positions to file."""
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try:
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data = {
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trade_id: pos.to_dict()
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for trade_id, pos in self.positions.items()
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}
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with open(self.paths.positions_file, 'w') as f:
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json.dump(data, f, indent=2)
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logger.debug(f"Saved {len(self.positions)} positions")
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except Exception as e:
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logger.error(f"Could not save positions: {e}")
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def can_open_position(self) -> bool:
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"""Check if we can open a new position."""
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return len(self.positions) < self.config.max_concurrent_positions
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def get_position_for_symbol(self, symbol: str) -> Optional[Position]:
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"""Get position for a specific symbol."""
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for pos in self.positions.values():
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if pos.symbol == symbol:
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return pos
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return None
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def open_position(
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self,
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symbol: str,
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side: str,
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entry_price: float,
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size: float,
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stop_loss_price: float,
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take_profit_price: float,
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order_id: str = ""
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) -> Optional[Position]:
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"""
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Open a new position.
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Args:
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symbol: Trading pair symbol
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side: "long" or "short"
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entry_price: Entry price
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size: Position size in base currency
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stop_loss_price: Stop-loss price
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take_profit_price: Take-profit price
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order_id: Entry order ID from exchange
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Returns:
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Position object or None if failed
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"""
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if not self.can_open_position():
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logger.warning("Cannot open position: max concurrent positions reached")
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return None
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# Check if already have position for this symbol
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existing = self.get_position_for_symbol(symbol)
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if existing:
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logger.warning(f"Already have position for {symbol}")
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return None
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# Generate trade ID
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now = datetime.now(timezone.utc)
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trade_id = f"{symbol}_{now.strftime('%Y%m%d_%H%M%S')}"
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position = Position(
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trade_id=trade_id,
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symbol=symbol,
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side=side,
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entry_price=entry_price,
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entry_time=now.isoformat(),
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size=size,
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size_usdt=entry_price * size,
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stop_loss_price=stop_loss_price,
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take_profit_price=take_profit_price,
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current_price=entry_price,
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order_id=order_id,
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)
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self.positions[trade_id] = position
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self.save_positions()
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logger.info(
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f"Opened {side.upper()} position: {size} {symbol} @ {entry_price}, "
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f"SL={stop_loss_price}, TP={take_profit_price}"
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)
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return position
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def close_position(
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self,
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trade_id: str,
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exit_price: float,
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reason: str = "manual",
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exit_order_id: str = ""
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) -> Optional[dict]:
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"""
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Close a position and record the trade.
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Args:
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trade_id: Position trade ID
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exit_price: Exit price
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reason: Reason for closing (e.g., "stop_loss", "take_profit", "signal")
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exit_order_id: Exit order ID from exchange
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Returns:
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Trade record dictionary
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"""
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if trade_id not in self.positions:
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logger.warning(f"Position {trade_id} not found")
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return None
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position = self.positions[trade_id]
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position.update_pnl(exit_price)
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# Calculate final PnL
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entry_time = datetime.fromisoformat(position.entry_time)
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exit_time = datetime.now(timezone.utc)
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hold_duration = (exit_time - entry_time).total_seconds() / 3600 # hours
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trade_record = {
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'trade_id': trade_id,
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'symbol': position.symbol,
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'side': position.side,
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'entry_price': position.entry_price,
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'exit_price': exit_price,
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'size': position.size,
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'size_usdt': position.size_usdt,
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'pnl_usd': position.unrealized_pnl,
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'pnl_pct': position.unrealized_pnl_pct,
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'entry_time': position.entry_time,
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'exit_time': exit_time.isoformat(),
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'hold_duration_hours': hold_duration,
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'reason': reason,
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'order_id_entry': position.order_id,
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'order_id_exit': exit_order_id,
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}
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self.trade_log.append(trade_record)
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del self.positions[trade_id]
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self.save_positions()
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self._append_trade_log(trade_record)
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logger.info(
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f"Closed {position.side.upper()} position: {position.size} {position.symbol} "
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f"@ {exit_price}, PnL=${position.unrealized_pnl:.2f} ({position.unrealized_pnl_pct:.2f}%), "
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f"reason={reason}"
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)
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return trade_record
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def _append_trade_log(self, trade_record: dict) -> None:
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"""Append trade record to CSV log file."""
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import csv
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file_exists = self.paths.trade_log_file.exists()
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with open(self.paths.trade_log_file, 'a', newline='') as f:
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writer = csv.DictWriter(f, fieldnames=trade_record.keys())
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if not file_exists:
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writer.writeheader()
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writer.writerow(trade_record)
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def update_positions(self, current_prices: dict[str, float]) -> list[dict]:
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"""
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Update all positions with current prices and check SL/TP.
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Args:
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current_prices: Dictionary of symbol -> current price
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Returns:
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List of closed trade records
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"""
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closed_trades = []
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for trade_id in list(self.positions.keys()):
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position = self.positions[trade_id]
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if position.symbol not in current_prices:
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continue
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current_price = current_prices[position.symbol]
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position.update_pnl(current_price)
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# Check stop-loss
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if position.should_stop_loss(current_price):
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logger.warning(
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f"Stop-loss triggered for {trade_id} at {current_price}"
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)
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# Close position on exchange
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exit_order_id = ""
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try:
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exit_order = self.client.close_position(position.symbol)
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exit_order_id = exit_order.get('id', '') if exit_order else ''
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except Exception as e:
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logger.error(f"Failed to close position on exchange: {e}")
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record = self.close_position(trade_id, current_price, "stop_loss", exit_order_id)
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if record:
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closed_trades.append(record)
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continue
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# Check take-profit
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if position.should_take_profit(current_price):
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logger.info(
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f"Take-profit triggered for {trade_id} at {current_price}"
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)
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# Close position on exchange
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exit_order_id = ""
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try:
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exit_order = self.client.close_position(position.symbol)
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exit_order_id = exit_order.get('id', '') if exit_order else ''
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except Exception as e:
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logger.error(f"Failed to close position on exchange: {e}")
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record = self.close_position(trade_id, current_price, "take_profit", exit_order_id)
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if record:
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closed_trades.append(record)
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self.save_positions()
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return closed_trades
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def sync_with_exchange(self) -> None:
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"""
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Sync local positions with exchange positions.
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Reconciles any discrepancies between local tracking
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and actual exchange positions.
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"""
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try:
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exchange_positions = self.client.get_positions()
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exchange_symbols = {p['symbol'] for p in exchange_positions}
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# Check for positions we have locally but not on exchange
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for trade_id in list(self.positions.keys()):
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pos = self.positions[trade_id]
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if pos.symbol not in exchange_symbols:
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logger.warning(
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f"Position {trade_id} not found on exchange, removing"
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)
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# Get last price and close
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try:
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ticker = self.client.get_ticker(pos.symbol)
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exit_price = ticker['last']
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except Exception:
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exit_price = pos.current_price
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self.close_position(trade_id, exit_price, "sync_removed")
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logger.info(f"Position sync complete: {len(self.positions)} local positions")
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except Exception as e:
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logger.error(f"Position sync failed: {e}")
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def get_portfolio_summary(self) -> dict:
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"""
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Get portfolio summary.
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Returns:
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Dictionary with portfolio statistics
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"""
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total_exposure = sum(p.size_usdt for p in self.positions.values())
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total_unrealized_pnl = sum(p.unrealized_pnl for p in self.positions.values())
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return {
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'open_positions': len(self.positions),
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'total_exposure_usdt': total_exposure,
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'total_unrealized_pnl': total_unrealized_pnl,
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'positions': [p.to_dict() for p in self.positions.values()],
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}
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