""" 仓位管理模块 - 管理持仓和订单 """ import asyncio import logging import json import aiohttp from typing import Dict, List, Optional try: from .binance_client import BinanceClient from .risk_manager import RiskManager from . import config except ImportError: from binance_client import BinanceClient from risk_manager import RiskManager import config logger = logging.getLogger(__name__) # 尝试导入数据库模型（如果可用） DB_AVAILABLE = False Trade = None try: import sys from pathlib import Path project_root = Path(__file__).parent.parent backend_path = project_root / 'backend' if backend_path.exists(): sys.path.insert(0, str(backend_path)) from database.models import Trade DB_AVAILABLE = True logger.info("✓ 数据库模型导入成功，交易记录将保存到数据库") else: logger.warning("⚠ backend目录不存在，无法使用数据库功能") DB_AVAILABLE = False except ImportError as e: logger.warning(f"⚠ 无法导入数据库模型: {e}") logger.warning(" 交易记录将不会保存到数据库") DB_AVAILABLE = False except Exception as e: logger.warning(f"⚠ 数据库初始化失败: {e}") logger.warning(" 交易记录将不会保存到数据库") DB_AVAILABLE = False class PositionManager: """仓位管理类""" def __init__(self, client: BinanceClient, risk_manager: RiskManager): """ 初始化仓位管理器 Args: client: 币安客户端 risk_manager: 风险管理器 """ self.client = client self.risk_manager = risk_manager self.active_positions: Dict[str, Dict] = {} self._monitor_tasks: Dict[str, asyncio.Task] = {} # WebSocket监控任务字典 self._monitoring_enabled = True # 是否启用实时监控 async def open_position( self, symbol: str, change_percent: float, leverage: int = 10, trade_direction: Optional[str] = None, entry_reason: str = '', atr: Optional[float] = None ) -> Optional[Dict]: """ 开仓 Args: symbol: 交易对 change_percent: 涨跌幅百分比 leverage: 杠杆倍数 Returns: 订单信息，失败返回None """ try: # 判断是否应该交易 if not await self.risk_manager.should_trade(symbol, change_percent): return None # 设置杠杆 await self.client.set_leverage(symbol, leverage) # 计算仓位大小 logger.info(f"开始为 {symbol} 计算仓位大小...") quantity = await self.risk_manager.calculate_position_size( symbol, change_percent ) if quantity is None: logger.warning(f"❌ {symbol} 仓位计算失败，跳过交易") logger.warning(f" 可能原因:") logger.warning(f" 1. 账户余额不足") logger.warning(f" 2. 单笔仓位超过限制") logger.warning(f" 3. 总仓位超过限制") logger.warning(f" 4. 无法获取价格数据") return None logger.info(f"✓ {symbol} 仓位计算成功: {quantity:.4f}") # 确定交易方向（优先使用技术指标信号） if trade_direction: side = trade_direction else: side = 'BUY' if change_percent > 0 else 'SELL' # 获取当前价格 ticker = await self.client.get_ticker_24h(symbol) if not ticker: return None entry_price = ticker['price'] # 计算动态止损止盈（使用ATR或固定比例） if atr and atr > 0: # 使用ATR计算动态止损（2倍ATR） atr_stop_loss_pct = (atr * 2) / entry_price # 限制在合理范围内（1%-5%） atr_stop_loss_pct = max(0.01, min(0.05, atr_stop_loss_pct)) stop_loss_price = self.risk_manager.get_stop_loss_price( entry_price, side, stop_loss_pct=atr_stop_loss_pct ) # 止盈为止损的1.5-2倍 take_profit_pct = atr_stop_loss_pct * 1.8 take_profit_price = self.risk_manager.get_take_profit_price( entry_price, side, take_profit_pct=take_profit_pct ) else: # 使用固定止损止盈 stop_loss_price = self.risk_manager.get_stop_loss_price(entry_price, side) take_profit_price = self.risk_manager.get_take_profit_price(entry_price, side) # 下单 order = await self.client.place_order( symbol=symbol, side=side, quantity=quantity, order_type='MARKET' ) if order: # 记录到数据库 trade_id = None if DB_AVAILABLE and Trade: try: logger.info(f"正在保存 {symbol} 交易记录到数据库...") trade_id = Trade.create( symbol=symbol, side=side, quantity=quantity, entry_price=entry_price, leverage=leverage, entry_reason=entry_reason ) logger.info(f"✓ {symbol} 交易记录已保存到数据库 (ID: {trade_id})") except Exception as e: logger.error(f"❌ 保存交易记录到数据库失败: {e}") logger.error(f" 错误类型: {type(e).__name__}") import traceback logger.error(f" 错误详情:\n{traceback.format_exc()}") elif not DB_AVAILABLE: logger.debug(f"数据库不可用，跳过保存 {symbol} 交易记录") elif not Trade: logger.warning(f"Trade模型未导入，无法保存 {symbol} 交易记录") # 记录持仓信息（包含动态止损止盈） position_info = { 'symbol': symbol, 'side': side, 'quantity': quantity, 'entryPrice': entry_price, 'changePercent': change_percent, 'orderId': order.get('orderId'), 'tradeId': trade_id, # 数据库交易ID 'stopLoss': stop_loss_price, 'takeProfit': take_profit_price, 'initialStopLoss': stop_loss_price, # 初始止损（用于移动止损） 'leverage': leverage, 'entryReason': entry_reason, 'atr': atr, 'maxProfit': 0.0, # 记录最大盈利（用于移动止损） 'trailingStopActivated': False # 移动止损是否已激活 } self.active_positions[symbol] = position_info logger.info( f"开仓成功: {symbol} {side} {quantity} @ {entry_price:.4f} " f"(涨跌幅: {change_percent:.2f}%)" ) # 启动WebSocket实时监控 if self._monitoring_enabled: await self._start_position_monitoring(symbol) return position_info return None except Exception as e: logger.error(f"开仓失败 {symbol}: {e}") return None async def close_position(self, symbol: str, reason: str = 'manual') -> bool: """ 平仓 Args: symbol: 交易对 reason: 平仓原因（manual, stop_loss, take_profit, trailing_stop, sync） Returns: 是否成功 """ try: logger.info(f"{symbol} [平仓] 开始平仓操作 (原因: {reason})") # 获取当前持仓 positions = await self.client.get_open_positions() position = next( (p for p in positions if p['symbol'] == symbol), None ) if not position: logger.warning(f"{symbol} [平仓] 币安账户中没有持仓，可能已被平仓") # 即使币安没有持仓，也要更新数据库状态 if DB_AVAILABLE and Trade and symbol in self.active_positions: position_info = self.active_positions[symbol] trade_id = position_info.get('tradeId') if trade_id: try: logger.info(f"{symbol} [平仓] 更新数据库状态为已平仓 (ID: {trade_id})...") # 获取当前价格作为平仓价格 ticker = await self.client.get_ticker_24h(symbol) exit_price = float(ticker['price']) if ticker else float(position_info['entryPrice']) # 确保所有值都是float类型 entry_price = float(position_info['entryPrice']) quantity = float(position_info['quantity']) if position_info['side'] == 'BUY': pnl = (exit_price - entry_price) * quantity pnl_percent = ((exit_price - entry_price) / entry_price) * 100 else: pnl = (entry_price - exit_price) * quantity pnl_percent = ((entry_price - exit_price) / entry_price) * 100 Trade.update_exit( trade_id=trade_id, exit_price=exit_price, exit_reason=reason, pnl=pnl, pnl_percent=pnl_percent ) logger.info(f"{symbol} [平仓] ✓ 数据库状态已更新") except Exception as e: logger.error(f"{symbol} [平仓] ❌ 更新数据库状态失败: {e}") # 清理本地记录 await self._stop_position_monitoring(symbol) if symbol in self.active_positions: del self.active_positions[symbol] return False # 确定平仓方向（与开仓相反） position_amt = position['positionAmt'] side = 'SELL' if position_amt > 0 else 'BUY' quantity = abs(position_amt) logger.info( f"{symbol} [平仓] 下单信息: {side} {quantity:.4f} @ MARKET " f"(持仓数量: {position_amt:.4f})" ) # 平仓 order = await self.client.place_order( symbol=symbol, side=side, quantity=quantity, order_type='MARKET' ) if order: logger.info(f"{symbol} [平仓] ✓ 平仓订单已提交 (订单ID: {order.get('orderId', 'N/A')})") # 获取平仓价格（确保是float类型） ticker = await self.client.get_ticker_24h(symbol) if not ticker: logger.warning(f"无法获取 {symbol} 价格，使用订单价格") exit_price = float(order.get('avgPrice', 0)) or float(order.get('price', 0)) else: exit_price = float(ticker['price']) # 更新数据库记录 if DB_AVAILABLE and Trade and symbol in self.active_positions: position_info = self.active_positions[symbol] trade_id = position_info.get('tradeId') if trade_id: try: logger.info(f"正在更新 {symbol} 平仓记录到数据库 (ID: {trade_id})...") # 计算盈亏（确保所有值都是float类型） entry_price = float(position_info['entryPrice']) quantity_float = float(quantity) exit_price_float = float(exit_price) if position_info['side'] == 'BUY': pnl = (exit_price_float - entry_price) * quantity_float pnl_percent = ((exit_price_float - entry_price) / entry_price) * 100 else: # SELL pnl = (entry_price - exit_price_float) * quantity_float pnl_percent = ((entry_price - exit_price_float) / entry_price) * 100 Trade.update_exit( trade_id=trade_id, exit_price=exit_price_float, exit_reason=reason, pnl=pnl, pnl_percent=pnl_percent ) logger.info( f"{symbol} [平仓] ✓ 数据库记录已更新 " f"(盈亏: {pnl:.2f} USDT, {pnl_percent:.2f}%, 原因: {reason})" ) except Exception as e: logger.error(f"❌ 更新平仓记录到数据库失败: {e}") logger.error(f" 错误类型: {type(e).__name__}") import traceback logger.error(f" 错误详情:\n{traceback.format_exc()}") else: logger.warning(f"{symbol} 没有关联的数据库交易ID，无法更新平仓记录") elif not DB_AVAILABLE: logger.debug(f"数据库不可用，跳过更新 {symbol} 平仓记录") elif not Trade: logger.warning(f"Trade模型未导入，无法更新 {symbol} 平仓记录") # 停止WebSocket监控 await self._stop_position_monitoring(symbol) # 移除持仓记录 if symbol in self.active_positions: del self.active_positions[symbol] logger.info( f"{symbol} [平仓] ✓ 平仓完成: {side} {quantity:.4f} @ {exit_price:.4f} " f"(原因: {reason})" ) return True return False except Exception as e: logger.error(f"{symbol} [平仓] ❌ 平仓失败: {e}") import traceback logger.error(f" 错误详情:\n{traceback.format_exc()}") return False async def check_stop_loss_take_profit(self) -> List[str]: """ 检查止损止盈 Returns: 需要平仓的交易对列表 """ closed_positions = [] try: # 获取当前持仓 positions = await self.client.get_open_positions() position_dict = {p['symbol']: p for p in positions} for symbol, position_info in list(self.active_positions.items()): if symbol not in position_dict: # 持仓已不存在，移除记录 del self.active_positions[symbol] continue current_position = position_dict[symbol] entry_price = position_info['entryPrice'] quantity = position_info['quantity'] # 修复：获取quantity # 获取当前标记价格 current_price = current_position.get('markPrice', 0) if current_price == 0: # 如果标记价格为0，尝试从ticker获取 ticker = await self.client.get_ticker_24h(symbol) if ticker: current_price = ticker['price'] else: current_price = entry_price # 计算当前盈亏 if position_info['side'] == 'BUY': pnl_percent = ((current_price - entry_price) / entry_price) * 100 else: pnl_percent = ((entry_price - current_price) / entry_price) * 100 # 更新最大盈利 if pnl_percent > position_info.get('maxProfit', 0): position_info['maxProfit'] = pnl_percent # 移动止损逻辑（盈利后保护利润） use_trailing = config.TRADING_CONFIG.get('USE_TRAILING_STOP', True) if use_trailing: trailing_activation = config.TRADING_CONFIG.get('TRAILING_STOP_ACTIVATION', 0.01) trailing_protect = config.TRADING_CONFIG.get('TRAILING_STOP_PROTECT', 0.01) if not position_info.get('trailingStopActivated', False): # 盈利超过阈值后，激活移动止损 if pnl_percent > trailing_activation * 100: position_info['trailingStopActivated'] = True # 将止损移至成本价（保本） position_info['stopLoss'] = entry_price logger.info( f"{symbol} 移动止损激活: 止损移至成本价 {entry_price:.4f} " f"(盈利: {pnl_percent:.2f}%)" ) else: # 盈利超过2%后，止损移至保护利润位 if pnl_percent > 2.0: if position_info['side'] == 'BUY': new_stop_loss = entry_price * (1 + trailing_protect) if new_stop_loss > position_info['stopLoss']: position_info['stopLoss'] = new_stop_loss logger.info( f"{symbol} 移动止损更新: {new_stop_loss:.4f} " f"(保护{trailing_protect*100:.1f}%利润)" ) else: new_stop_loss = entry_price * (1 - trailing_protect) if new_stop_loss < position_info['stopLoss']: position_info['stopLoss'] = new_stop_loss logger.info( f"{symbol} 移动止损更新: {new_stop_loss:.4f} " f"(保护{trailing_protect*100:.1f}%利润)" ) # 检查止损（使用更新后的止损价） stop_loss = position_info['stopLoss'] if position_info['side'] == 'BUY' and current_price <= stop_loss: logger.warning( f"{symbol} 触发止损: {current_price:.4f} <= {stop_loss:.4f} " f"(盈亏: {pnl_percent:.2f}%)" ) # 更新数据库 if DB_AVAILABLE: trade_id = position_info.get('tradeId') if trade_id: try: exit_reason = 'trailing_stop' if position_info.get('trailingStopActivated') else 'stop_loss' Trade.update_exit( trade_id=trade_id, exit_price=current_price, exit_reason=exit_reason, pnl=pnl_percent * entry_price * quantity / 100, pnl_percent=pnl_percent ) except Exception as e: logger.warning(f"更新止损记录失败: {e}") if await self.close_position(symbol): closed_positions.append(symbol) continue if position_info['side'] == 'SELL' and current_price >= stop_loss: logger.warning( f"{symbol} 触发止损: {current_price:.4f} >= {stop_loss:.4f} " f"(盈亏: {pnl_percent:.2f}%)" ) # 更新数据库 if DB_AVAILABLE: trade_id = position_info.get('tradeId') if trade_id: try: exit_reason = 'trailing_stop' if position_info.get('trailingStopActivated') else 'stop_loss' Trade.update_exit( trade_id=trade_id, exit_price=current_price, exit_reason=exit_reason, pnl=pnl_percent * entry_price * quantity / 100, pnl_percent=pnl_percent ) except Exception as e: logger.warning(f"更新止损记录失败: {e}") if await self.close_position(symbol): closed_positions.append(symbol) continue # 检查止盈 take_profit = position_info['takeProfit'] if position_info['side'] == 'BUY' and current_price >= take_profit: logger.info( f"{symbol} 触发止盈: {current_price:.4f} >= {take_profit:.4f} " f"(盈亏: {pnl_percent:.2f}%)" ) # 更新数据库 if DB_AVAILABLE: trade_id = position_info.get('tradeId') if trade_id: try: Trade.update_exit( trade_id=trade_id, exit_price=current_price, exit_reason='take_profit', pnl=pnl_percent * entry_price * quantity / 100, pnl_percent=pnl_percent ) except Exception as e: logger.warning(f"更新止盈记录失败: {e}") if await self.close_position(symbol): closed_positions.append(symbol) continue if position_info['side'] == 'SELL' and current_price <= take_profit: logger.info( f"{symbol} 触发止盈: {current_price:.4f} <= {take_profit:.4f} " f"(盈亏: {pnl_percent:.2f}%)" ) # 更新数据库 if DB_AVAILABLE: trade_id = position_info.get('tradeId') if trade_id: try: Trade.update_exit( trade_id=trade_id, exit_price=current_price, exit_reason='take_profit', pnl=pnl_percent * entry_price * quantity / 100, pnl_percent=pnl_percent ) except Exception as e: logger.warning(f"更新止盈记录失败: {e}") if await self.close_position(symbol): closed_positions.append(symbol) continue except Exception as e: logger.error(f"检查止损止盈失败: {e}") return closed_positions async def get_position_summary(self) -> Dict: """ 获取持仓摘要 Returns: 持仓摘要信息 """ try: positions = await self.client.get_open_positions() balance = await self.client.get_account_balance() total_pnl = sum(p['unRealizedProfit'] for p in positions) return { 'totalPositions': len(positions), 'totalBalance': balance.get('total', 0), 'availableBalance': balance.get('available', 0), 'totalPnL': total_pnl, 'positions': [ { 'symbol': p['symbol'], 'positionAmt': p['positionAmt'], 'entryPrice': p['entryPrice'], 'pnl': p['unRealizedProfit'] } for p in positions ] } except Exception as e: logger.error(f"获取持仓摘要失败: {e}") return {} async def sync_positions_with_binance(self): """ 同步币安实际持仓状态与数据库状态 检查哪些持仓在数据库中还是open状态，但在币安已经不存在了 """ if not DB_AVAILABLE or not Trade: logger.debug("数据库不可用，跳过持仓状态同步") return try: logger.info("开始同步币安持仓状态与数据库...") # 1. 获取币安实际持仓 binance_positions = await self.client.get_open_positions() binance_symbols = {p['symbol'] for p in binance_positions} logger.debug(f"币安实际持仓: {len(binance_symbols)} 个 ({', '.join(binance_symbols) if binance_symbols else '无'})") # 2. 获取数据库中状态为open的交易记录 db_open_trades = Trade.get_all(status='open') db_open_symbols = {t['symbol'] for t in db_open_trades} logger.debug(f"数据库open状态: {len(db_open_symbols)} 个 ({', '.join(db_open_symbols) if db_open_symbols else '无'})") # 3. 找出在数据库中open但在币安已不存在的持仓 missing_in_binance = db_open_symbols - binance_symbols if missing_in_binance: logger.warning( f"发现 {len(missing_in_binance)} 个持仓在数据库中为open状态，但在币安已不存在: " f"{', '.join(missing_in_binance)}" ) # 4. 更新这些持仓的状态 for symbol in missing_in_binance: trades = Trade.get_by_symbol(symbol, status='open') for trade in trades: trade_id = trade['id'] try: logger.info(f"{symbol} [状态同步] 更新交易记录状态 (ID: {trade_id})...") # 获取当前价格作为平仓价格 ticker = await self.client.get_ticker_24h(symbol) exit_price = float(ticker['price']) if ticker else float(trade['entry_price']) # 计算盈亏（确保所有值都是float类型，避免Decimal类型问题） entry_price = float(trade['entry_price']) quantity = float(trade['quantity']) if trade['side'] == 'BUY': pnl = (exit_price - entry_price) * quantity pnl_percent = ((exit_price - entry_price) / entry_price) * 100 else: # SELL pnl = (entry_price - exit_price) * quantity pnl_percent = ((entry_price - exit_price) / entry_price) * 100 Trade.update_exit( trade_id=trade_id, exit_price=exit_price, exit_reason='sync', # 标记为同步更新 pnl=pnl, pnl_percent=pnl_percent ) logger.info( f"{symbol} [状态同步] ✓ 已更新 (ID: {trade_id}, " f"盈亏: {pnl:.2f} USDT, {pnl_percent:.2f}%)" ) # 清理本地记录 if symbol in self.active_positions: await self._stop_position_monitoring(symbol) del self.active_positions[symbol] logger.debug(f"{symbol} [状态同步] 已清理本地持仓记录") except Exception as e: logger.error(f"{symbol} [状态同步] ❌ 更新失败 (ID: {trade_id}): {e}") else: logger.info("✓ 持仓状态同步完成，数据库与币安状态一致") # 5. 检查币安有但数据库没有记录的持仓（可能是手动开仓的） missing_in_db = binance_symbols - db_open_symbols if missing_in_db: logger.info( f"发现 {len(missing_in_db)} 个持仓在币安存在但数据库中没有记录: " f"{', '.join(missing_in_db)} (可能是手动开仓)" ) # 为手动开仓的持仓创建数据库记录并启动监控 for symbol in missing_in_db: try: # 获取币安持仓详情 binance_position = next( (p for p in binance_positions if p['symbol'] == symbol), None ) if not binance_position: continue position_amt = binance_position['positionAmt'] entry_price = binance_position['entryPrice'] quantity = abs(position_amt) side = 'BUY' if position_amt > 0 else 'SELL' logger.info( f"{symbol} [状态同步] 检测到手动开仓，创建数据库记录... " f"({side} {quantity:.4f} @ {entry_price:.4f})" ) # 创建数据库记录 trade_id = Trade.create( symbol=symbol, side=side, quantity=quantity, entry_price=entry_price, leverage=binance_position.get('leverage', 10), entry_reason='manual_entry' # 标记为手动开仓 ) logger.info(f"{symbol} [状态同步] ✓ 数据库记录已创建 (ID: {trade_id})") # 创建本地持仓记录（用于监控） ticker = await self.client.get_ticker_24h(symbol) current_price = ticker['price'] if ticker else entry_price # 计算止损止盈 stop_loss_price = self.risk_manager.get_stop_loss_price(entry_price, side) take_profit_price = self.risk_manager.get_take_profit_price(entry_price, side) position_info = { 'symbol': symbol, 'side': side, 'quantity': quantity, 'entryPrice': entry_price, 'changePercent': 0, # 手动开仓，无法计算涨跌幅 'orderId': None, 'tradeId': trade_id, 'stopLoss': stop_loss_price, 'takeProfit': take_profit_price, 'initialStopLoss': stop_loss_price, 'leverage': binance_position.get('leverage', 10), 'entryReason': 'manual_entry', 'atr': None, 'maxProfit': 0.0, 'trailingStopActivated': False } self.active_positions[symbol] = position_info # 启动WebSocket监控 if self._monitoring_enabled: await self._start_position_monitoring(symbol) logger.info(f"{symbol} [状态同步] ✓ 已启动实时监控") logger.info(f"{symbol} [状态同步] ✓ 手动开仓同步完成") except Exception as e: logger.error(f"{symbol} [状态同步] ❌ 处理手动开仓失败: {e}") import traceback logger.error(f" 错误详情:\n{traceback.format_exc()}") logger.info("持仓状态同步完成") except Exception as e: logger.error(f"同步持仓状态失败: {e}") import traceback logger.error(f"错误详情:\n{traceback.format_exc()}") async def start_all_position_monitoring(self): """ 启动所有持仓的WebSocket实时监控 """ if not self._monitoring_enabled: logger.info("实时监控已禁用，跳过启动") return # WebSocket 现在直接使用 aiohttp，不需要检查 socket_manager if not self.client: logger.warning("客户端未初始化，无法启动实时监控") return # 获取当前所有持仓 positions = await self.client.get_open_positions() binance_symbols = {p['symbol'] for p in positions} active_symbols = set(self.active_positions.keys()) logger.info(f"币安持仓: {len(binance_symbols)} 个 ({', '.join(binance_symbols) if binance_symbols else '无'})") logger.info(f"本地持仓记录: {len(active_symbols)} 个 ({', '.join(active_symbols) if active_symbols else '无'})") # 为所有币安持仓启动监控（即使不在active_positions中，可能是手动开仓的） for position in positions: symbol = position['symbol'] if symbol not in self._monitor_tasks: # 如果不在active_positions中，先创建记录 if symbol not in self.active_positions: logger.warning(f"{symbol} 在币安有持仓但不在本地记录中，可能是手动开仓，尝试创建记录...") # 这里会通过sync_positions_with_binance来处理，但先启动监控 try: entry_price = position.get('entryPrice', 0) position_amt = position['positionAmt'] quantity = abs(position_amt) side = 'BUY' if position_amt > 0 else 'SELL' # 创建临时记录用于监控 ticker = await self.client.get_ticker_24h(symbol) current_price = ticker['price'] if ticker else entry_price stop_loss_price = self.risk_manager.get_stop_loss_price(entry_price, side) take_profit_price = self.risk_manager.get_take_profit_price(entry_price, side) position_info = { 'symbol': symbol, 'side': side, 'quantity': quantity, 'entryPrice': entry_price, 'changePercent': 0, 'orderId': None, 'tradeId': None, 'stopLoss': stop_loss_price, 'takeProfit': take_profit_price, 'initialStopLoss': stop_loss_price, 'leverage': position.get('leverage', 10), 'entryReason': 'manual_entry_temp', 'atr': None, 'maxProfit': 0.0, 'trailingStopActivated': False } self.active_positions[symbol] = position_info logger.info(f"{symbol} 已创建临时持仓记录用于监控") except Exception as e: logger.error(f"{symbol} 创建临时持仓记录失败: {e}") await self._start_position_monitoring(symbol) logger.info(f"已启动 {len(self._monitor_tasks)} 个持仓的实时监控") async def stop_all_position_monitoring(self): """ 停止所有持仓的WebSocket监控 """ symbols = list(self._monitor_tasks.keys()) for symbol in symbols: await self._stop_position_monitoring(symbol) logger.info(f"已停止所有持仓监控 ({len(symbols)} 个)") async def _start_position_monitoring(self, symbol: str): """ 启动单个持仓的WebSocket价格监控 Args: symbol: 交易对 """ if symbol in self._monitor_tasks: logger.debug(f"{symbol} 监控任务已存在，跳过") return # WebSocket 现在直接使用 aiohttp，不需要检查 socket_manager if not self.client: logger.warning(f"{symbol} 客户端未初始化，无法启动监控") return try: task = asyncio.create_task(self._monitor_position_price(symbol)) self._monitor_tasks[symbol] = task logger.info(f"✓ 启动 {symbol} WebSocket实时价格监控") except Exception as e: logger.error(f"启动 {symbol} 监控失败: {e}") async def _stop_position_monitoring(self, symbol: str): """ 停止单个持仓的WebSocket监控 Args: symbol: 交易对 """ if symbol not in self._monitor_tasks: return task = self._monitor_tasks[symbol] if not task.done(): task.cancel() try: await task except asyncio.CancelledError: pass del self._monitor_tasks[symbol] logger.debug(f"已停止 {symbol} 的WebSocket监控") async def _monitor_position_price(self, symbol: str): """ 监控单个持仓的价格（WebSocket实时推送） Args: symbol: 交易对 """ retry_count = 0 max_retries = 5 while retry_count < max_retries: try: if symbol not in self.active_positions: logger.info(f"{symbol} 持仓已不存在，停止监控") break # 使用WebSocket订阅价格流 # 直接使用 aiohttp 连接 Binance 期货 WebSocket API # 根据文档：https://developers.binance.com/docs/derivatives/usds-margined-futures/websocket-market-streams # 端点：wss://fstream.binance.com/ws/@ticker ws_url = f"wss://fstream.binance.com/ws/{symbol.lower()}@ticker" async with aiohttp.ClientSession() as session: async with session.ws_connect(ws_url) as ws: logger.debug(f"{symbol} WebSocket连接已建立，开始接收价格更新") retry_count = 0 # 连接成功，重置重试计数 async for msg in ws: if symbol not in self.active_positions: logger.info(f"{symbol} 持仓已不存在，停止监控") break if msg.type == aiohttp.WSMsgType.TEXT: try: # 解析 JSON 消息 data = json.loads(msg.data) # WebSocket 返回的数据格式：{'e': '24hrTicker', 's': 'BTCUSDT', 'c': '50000.00', ...} # 根据文档，ticker 流包含 'c' 字段（最后价格） if isinstance(data, dict): if 'c' in data: # 'c' 是当前价格 current_price = float(data['c']) # 立即检查止损止盈 await self._check_single_position(symbol, current_price) elif 'data' in data: # 兼容组合流格式（如果使用 /stream 端点） if isinstance(data['data'], dict) and 'c' in data['data']: current_price = float(data['data']['c']) await self._check_single_position(symbol, current_price) except (KeyError, ValueError, TypeError, json.JSONDecodeError) as e: logger.debug(f"{symbol} 解析价格数据失败: {e}, 消息: {msg.data[:100] if hasattr(msg, 'data') else 'N/A'}") continue elif msg.type == aiohttp.WSMsgType.ERROR: logger.warning(f"{symbol} WebSocket错误: {ws.exception()}") break elif msg.type == aiohttp.WSMsgType.CLOSE: logger.info(f"{symbol} WebSocket连接关闭") break except asyncio.CancelledError: logger.info(f"{symbol} 监控任务已取消") break except Exception as e: retry_count += 1 logger.warning(f"{symbol} WebSocket监控出错 (重试 {retry_count}/{max_retries}): {e}") if retry_count < max_retries: # 指数退避重试 wait_time = min(2 ** retry_count, 30) logger.info(f"{symbol} {wait_time}秒后重试连接...") await asyncio.sleep(wait_time) else: logger.error(f"{symbol} WebSocket监控失败，已达到最大重试次数") # 回退到定时检查模式 logger.info(f"{symbol} 将使用定时检查模式（非实时）") break # 清理任务 if symbol in self._monitor_tasks: del self._monitor_tasks[symbol] async def _check_single_position(self, symbol: str, current_price: float): """ 检查单个持仓的止损止盈（实时检查） Args: symbol: 交易对 current_price: 当前价格 """ position_info = self.active_positions.get(symbol) if not position_info: return # 确保所有值都是float类型 entry_price = float(position_info['entryPrice']) quantity = float(position_info['quantity']) current_price_float = float(current_price) # 计算当前盈亏 if position_info['side'] == 'BUY': pnl_percent = ((current_price_float - entry_price) / entry_price) * 100 else: # SELL pnl_percent = ((entry_price - current_price_float) / entry_price) * 100 # 更新最大盈利 if pnl_percent > position_info.get('maxProfit', 0): position_info['maxProfit'] = pnl_percent # 移动止损逻辑（盈利后保护利润） use_trailing = config.TRADING_CONFIG.get('USE_TRAILING_STOP', True) if use_trailing: trailing_activation = config.TRADING_CONFIG.get('TRAILING_STOP_ACTIVATION', 0.01) trailing_protect = config.TRADING_CONFIG.get('TRAILING_STOP_PROTECT', 0.01) if not position_info.get('trailingStopActivated', False): # 盈利超过阈值后，激活移动止损 if pnl_percent > trailing_activation * 100: position_info['trailingStopActivated'] = True # 将止损移至成本价（保本） position_info['stopLoss'] = entry_price logger.info( f"{symbol} [实时监控] 移动止损激活: 止损移至成本价 {entry_price:.4f} " f"(盈利: {pnl_percent:.2f}%)" ) else: # 盈利超过2%后，止损移至保护利润位 if pnl_percent > 2.0: if position_info['side'] == 'BUY': new_stop_loss = entry_price * (1 + trailing_protect) if new_stop_loss > position_info['stopLoss']: position_info['stopLoss'] = new_stop_loss logger.info( f"{symbol} [实时监控] 移动止损更新: {new_stop_loss:.4f} " f"(保护{trailing_protect*100:.1f}%利润)" ) else: # SELL new_stop_loss = entry_price * (1 - trailing_protect) if new_stop_loss < position_info['stopLoss']: position_info['stopLoss'] = new_stop_loss logger.info( f"{symbol} [实时监控] 移动止损更新: {new_stop_loss:.4f} " f"(保护{trailing_protect*100:.1f}%利润)" ) # 检查止损 stop_loss = position_info['stopLoss'] should_close = False exit_reason = None if position_info['side'] == 'BUY' and current_price <= stop_loss: should_close = True exit_reason = 'trailing_stop' if position_info.get('trailingStopActivated') else 'stop_loss' logger.warning( f"{symbol} [实时监控] 触发止损: {current_price:.4f} <= {stop_loss:.4f} " f"(盈亏: {pnl_percent:.2f}%)" ) elif position_info['side'] == 'SELL' and current_price >= stop_loss: should_close = True exit_reason = 'trailing_stop' if position_info.get('trailingStopActivated') else 'stop_loss' logger.warning( f"{symbol} [实时监控] 触发止损: {current_price:.4f} >= {stop_loss:.4f} " f"(盈亏: {pnl_percent:.2f}%)" ) # 检查止盈 if not should_close: take_profit = float(position_info['takeProfit']) # 计算止盈百分比（用于诊断） if position_info['side'] == 'BUY': take_profit_pct = ((take_profit - entry_price) / entry_price) * 100 else: # SELL take_profit_pct = ((entry_price - take_profit) / entry_price) * 100 # 每5%盈利记录一次诊断日志（帮助排查问题） # 使用更宽松的条件，避免因为浮点数精度问题导致日志不输出 if pnl_percent >= 5.0: # 每5%记录一次，但允许一些容差 should_log = (int(pnl_percent) % 5 == 0) or (pnl_percent >= 10.0 and pnl_percent < 10.5) if should_log: trigger_condition = current_price_float >= take_profit if position_info['side'] == 'BUY' else current_price_float <= take_profit logger.warning( f"{symbol} [实时监控] 诊断: 盈利{pnl_percent:.2f}% | " f"当前价: {current_price_float:.4f} | " f"入场价: {entry_price:.4f} | " f"止盈价: {take_profit:.4f} ({take_profit_pct:.2f}%) | " f"方向: {position_info['side']} | " f"是否触发: {trigger_condition} | " f"价格差: {abs(current_price_float - take_profit):.4f} | " f"监控状态: {'运行中' if symbol in self._monitor_tasks else '未启动'}" ) # 如果盈利超过止盈目标但未触发，记录警告 if pnl_percent > take_profit_pct and not trigger_condition: logger.error( f"{symbol} [实时监控] ⚠️ 异常: 盈利{pnl_percent:.2f}% > 止盈目标{take_profit_pct:.2f}%，但未触发平仓！" ) price_diff = current_price_float - take_profit if position_info['side'] == 'BUY' else take_profit - current_price_float logger.error(f" 当前价: {current_price_float:.4f}, 止盈价: {take_profit:.4f}, 价格差: {price_diff:.4f}") if position_info['side'] == 'BUY' and current_price_float >= take_profit: should_close = True exit_reason = 'take_profit' logger.info( f"{symbol} [实时监控] 触发止盈: {current_price_float:.4f} >= {take_profit:.4f} " f"(盈亏: {pnl_percent:.2f}%, 止盈目标: {take_profit_pct:.2f}%)" ) elif position_info['side'] == 'SELL' and current_price_float <= take_profit: should_close = True exit_reason = 'take_profit' logger.info( f"{symbol} [实时监控] 触发止盈: {current_price_float:.4f} <= {take_profit:.4f} " f"(盈亏: {pnl_percent:.2f}%, 止盈目标: {take_profit_pct:.2f}%)" ) # 如果触发止损止盈，执行平仓 if should_close: logger.info( f"{symbol} [自动平仓] 开始执行平仓操作 | " f"原因: {exit_reason} | " f"入场价: {entry_price:.4f} | " f"当前价: {current_price:.4f} | " f"盈亏: {pnl_percent:.2f}% | " f"数量: {quantity:.4f}" ) # 更新数据库 if DB_AVAILABLE and Trade: trade_id = position_info.get('tradeId') if trade_id: try: if position_info['side'] == 'BUY': pnl = (current_price_float - entry_price) * quantity else: # SELL pnl = (entry_price - current_price_float) * quantity logger.info(f"{symbol} [自动平仓] 更新数据库记录 (ID: {trade_id})...") Trade.update_exit( trade_id=trade_id, exit_price=current_price_float, exit_reason=exit_reason, pnl=pnl, pnl_percent=pnl_percent ) logger.info(f"{symbol} [自动平仓] ✓ 数据库记录已更新 (盈亏: {pnl:.2f} USDT)") except Exception as e: logger.error(f"{symbol} [自动平仓] ❌ 更新数据库记录失败: {e}") import traceback logger.error(f" 错误详情:\n{traceback.format_exc()}") # 执行平仓（注意：这里会停止监控，所以先更新数据库） logger.info(f"{symbol} [自动平仓] 正在执行平仓订单...") success = await self.close_position(symbol, reason=exit_reason) if success: logger.info(f"{symbol} [自动平仓] ✓ 平仓成功完成") else: logger.error(f"{symbol} [自动平仓] ❌ 平仓失败") async def diagnose_position(self, symbol: str): """ 诊断持仓状态（用于排查为什么没有自动平仓） Args: symbol: 交易对 """ try: logger.info(f"{symbol} [诊断] 开始诊断持仓状态...") # 1. 检查是否在active_positions中 if symbol not in self.active_positions: logger.warning(f"{symbol} [诊断] ❌ 不在本地持仓记录中 (active_positions)") logger.warning(f" 可能原因: 手动开仓或系统重启后未同步") logger.warning(f" 解决方案: 等待下次状态同步或手动触发同步") else: position_info = self.active_positions[symbol] logger.info(f"{symbol} [诊断] ✓ 在本地持仓记录中") logger.info(f" 入场价: {position_info['entryPrice']:.4f}") logger.info(f" 方向: {position_info['side']}") logger.info(f" 数量: {position_info['quantity']:.4f}") logger.info(f" 止损价: {position_info['stopLoss']:.4f}") logger.info(f" 止盈价: {position_info['takeProfit']:.4f}") # 2. 检查WebSocket监控状态 if symbol in self._monitor_tasks: task = self._monitor_tasks[symbol] if task.done(): logger.warning(f"{symbol} [诊断] ⚠ WebSocket监控任务已结束") try: await task # 获取异常信息 except Exception as e: logger.warning(f" 任务异常: {e}") else: logger.info(f"{symbol} [诊断] ✓ WebSocket监控任务运行中") else: logger.warning(f"{symbol} [诊断] ❌ 没有WebSocket监控任务") logger.warning(f" 可能原因: 监控未启动或已停止") # 3. 获取币安实际持仓 positions = await self.client.get_open_positions() binance_position = next((p for p in positions if p['symbol'] == symbol), None) if not binance_position: logger.warning(f"{symbol} [诊断] ❌ 币安账户中没有持仓") return logger.info(f"{symbol} [诊断] ✓ 币安账户中有持仓") entry_price_binance = binance_position.get('entryPrice', 0) mark_price = binance_position.get('markPrice', 0) unrealized_pnl = binance_position.get('unRealizedProfit', 0) logger.info(f" 币安入场价: {entry_price_binance:.4f}") logger.info(f" 标记价格: {mark_price:.4f}") logger.info(f" 未实现盈亏: {unrealized_pnl:.2f} USDT") # 4. 计算实际盈亏 if symbol in self.active_positions: position_info = self.active_positions[symbol] entry_price = float(position_info['entryPrice']) take_profit = float(position_info['takeProfit']) if position_info['side'] == 'BUY': pnl_percent = ((mark_price - entry_price) / entry_price) * 100 take_profit_pct = ((take_profit - entry_price) / entry_price) * 100 should_trigger = mark_price >= take_profit else: # SELL pnl_percent = ((entry_price - mark_price) / entry_price) * 100 take_profit_pct = ((entry_price - take_profit) / entry_price) * 100 should_trigger = mark_price <= take_profit logger.info(f"{symbol} [诊断] 盈亏分析:") logger.info(f" 当前盈亏: {pnl_percent:.2f}%") logger.info(f" 止盈目标: {take_profit_pct:.2f}%") logger.info(f" 当前价: {mark_price:.4f}") logger.info(f" 止盈价: {take_profit:.4f}") logger.info(f" 价格差: {abs(mark_price - take_profit):.4f}") logger.info(f" 应该触发: {should_trigger}") if pnl_percent > take_profit_pct and not should_trigger: logger.error(f"{symbol} [诊断] ❌ 异常: 盈亏{pnl_percent:.2f}% > 止盈目标{take_profit_pct:.2f}%，但未触发平仓！") logger.error(f" 可能原因: 浮点数精度问题或止盈价格计算错误") logger.info(f"{symbol} [诊断] 诊断完成") except Exception as e: logger.error(f"{symbol} [诊断] 诊断失败: {e}") import traceback logger.error(f" 错误详情:\n{traceback.format_exc()}")