auto_trade_sys/trading_system/position_manager.py

"""
仓位管理模块 - 管理持仓和订单
"""
import asyncio
import logging
import json
import aiohttp
import time
from typing import Dict, List, Optional
from datetime import datetime
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
get_beijing_time = 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, get_beijing_time
        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

# 如果没有导入get_beijing_time，创建一个本地版本
if get_beijing_time is None:
    from datetime import datetime, timezone, timedelta
    BEIJING_TZ = timezone(timedelta(hours=8))
    def get_beijing_time():
        """获取当前北京时间（UTC+8）"""
        return datetime.now(BEIJING_TZ).replace(tzinfo=None)


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
        self._pending_entry_orders: Dict[str, Dict] = {}  # 未成交的入场订单（避免重复挂单）
        self._last_entry_attempt_ms: Dict[str, int] = {}  # 每个symbol的最近一次尝试（冷却/去抖）
        # 自动平仓去抖/限流（避免止损触发后反复下单/刷屏）
        self._last_auto_close_attempt_ms: Dict[str, int] = {}
        self._last_auto_close_fail_log_ms: Dict[str, int] = {}

    @staticmethod
    def _pct_like_to_ratio(v: float) -> float:
        """
        将“看起来像百分比”的值转换为比例（0~1）。

        兼容两种来源：
        - 前端/后端按“比例”存储：0.006 表示 0.6%
        - 历史/默认值按“百分比数值”存储：0.6 表示 0.6%

        经验规则：
        - v > 1: 认为是 60/100 这种百分数，除以100
        - 0.05 < v <= 1: 也更可能是“0.6% 这种写法”，除以100
        - v <= 0.05: 更可能已经是比例（<=5%）
        """
        try:
            x = float(v or 0.0)
        except Exception:
            x = 0.0
        if x <= 0:
            return 0.0
        if x > 1.0:
            return x / 100.0
        if x > 0.05:
            return x / 100.0
        return x

    def _calc_limit_entry_price(self, current_price: float, side: str, offset_ratio: float) -> float:
        """根据当前价与偏移比例，计算限价入场价（BUY: 下方回调；SELL: 上方回调）"""
        try:
            cp = float(current_price)
        except Exception:
            cp = 0.0
        try:
            off = float(offset_ratio or 0.0)
        except Exception:
            off = 0.0
        if cp <= 0:
            return 0.0
        if (side or "").upper() == "BUY":
            return cp * (1 - off)
        return cp * (1 + off)

    async def _wait_for_order_filled(
        self,
        symbol: str,
        order_id: int,
        timeout_sec: int = 30,
        poll_sec: float = 1.0,
    ) -> Dict:
        """
        等待订单成交（FILLED），返回：
        { ok, status, avg_price, executed_qty, raw }
        """
        deadline = time.time() + max(1, int(timeout_sec or 1))
        last_status = None
        while time.time() < deadline:
            try:
                info = await self.client.client.futures_get_order(symbol=symbol, orderId=order_id)
                status = info.get("status")
                last_status = status
                if status == "FILLED":
                    avg_price = float(info.get("avgPrice", 0) or 0) or float(info.get("price", 0) or 0)
                    executed_qty = float(info.get("executedQty", 0) or 0)
                    return {"ok": True, "status": status, "avg_price": avg_price, "executed_qty": executed_qty, "raw": info}
                if status in ("CANCELED", "REJECTED", "EXPIRED"):
                    return {"ok": False, "status": status, "avg_price": 0, "executed_qty": float(info.get("executedQty", 0) or 0), "raw": info}
            except Exception:
                # 忽略单次失败，继续轮询
                pass
            await asyncio.sleep(max(0.2, float(poll_sec or 1.0)))
        return {"ok": False, "status": last_status or "TIMEOUT", "avg_price": 0, "executed_qty": 0, "raw": None}
    
    async def open_position(
        self, 
        symbol: str, 
        change_percent: float,
        leverage: int = 10,
        trade_direction: Optional[str] = None,
        entry_reason: str = '',
        signal_strength: Optional[int] = None,
        market_regime: Optional[str] = None,
        trend_4h: Optional[str] = None,
        atr: Optional[float] = None,
        klines: Optional[List] = None,
        bollinger: Optional[Dict] = 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:
            # 0) 防止同一 symbol 重复挂入场单/快速重复尝试（去抖 + 冷却）
            now_ms = int(time.time() * 1000)
            cooldown_sec = int(config.TRADING_CONFIG.get("ENTRY_SYMBOL_COOLDOWN_SEC", 120) or 0)
            last_ms = self._last_entry_attempt_ms.get(symbol)
            if last_ms and cooldown_sec > 0 and now_ms - last_ms < cooldown_sec * 1000:
                logger.info(f"{symbol} [入场] 冷却中（{cooldown_sec}s），跳过本次自动开仓")
                return None

            pending = self._pending_entry_orders.get(symbol)
            if pending and pending.get("order_id"):
                logger.info(f"{symbol} [入场] 已有未完成入场订单(orderId={pending.get('order_id')})，跳过重复开仓")
                return None

            # 标记本次尝试（无论最终是否成交，都避免短时间内反复开仓/挂单）
            self._last_entry_attempt_ms[symbol] = now_ms

            # 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（传入实际使用的杠杆）
            logger.info(f"开始为 {symbol} 计算仓位大小...")
            quantity = await self.risk_manager.calculate_position_size(
                symbol, change_percent, leverage=leverage
            )
            
            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")
                logger.warning(f"   5. 保证金不足最小要求（MIN_MARGIN_USDT）")
                logger.warning(f"   6. 名义价值小于0.2 USDT（避免无意义的小单子）")
                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']
            
            # 获取K线数据用于动态止损计算（从symbol_info中获取，如果可用）
            klines = None
            bollinger = None
            if 'klines' in locals() or 'symbol_info' in locals():
                # 尝试从外部传入的symbol_info获取
                pass
            
            # 计算基于支撑/阻力的动态止损
            # 优先使用技术结构（支撑/阻力位、布林带）
            # 如果无法获取K线数据，回退到ATR或固定止损
            if not klines:
                # 如果没有传入K线数据，尝试获取
                try:
                    primary_interval = config.TRADING_CONFIG.get('PRIMARY_INTERVAL', '1h')
                    klines_data = await self.client.get_klines(
                        symbol=symbol,
                        interval=primary_interval,
                        limit=20  # 获取最近20根K线用于计算支撑/阻力
                    )
                    klines = klines_data if len(klines_data) >= 10 else None
                except Exception as e:
                    logger.debug(f"获取K线数据失败，使用固定止损: {e}")
                    klines = None
            
            # 在开仓前从Redis重新加载配置，确保使用最新配置（包括ATR参数）
            # 从Redis读取最新配置（轻量级，即时生效）
            try:
                if config._config_manager:
                    config._config_manager.reload_from_redis()
                    config.TRADING_CONFIG = config._get_trading_config()
                    logger.debug(f"{symbol} 开仓前已从Redis重新加载配置")
            except Exception as e:
                logger.debug(f"从Redis重新加载配置失败: {e}")
            
            # ===== 智能入场（方案C：趋势强更少错过，震荡更保守）=====
            smart_entry_enabled = bool(config.TRADING_CONFIG.get("SMART_ENTRY_ENABLED", True))
            # LIMIT_ORDER_OFFSET_PCT：兼容“比例/百分比”两种存储方式
            limit_offset_ratio = self._pct_like_to_ratio(float(config.TRADING_CONFIG.get("LIMIT_ORDER_OFFSET_PCT", 0.5) or 0.0))

            # 规则：趋势(trending) 或 4H共振明显 + 强信号 -> 允许“超时后市价兜底（有追价上限）”
            mr = (market_regime or "").strip().lower() if market_regime else ""
            t4 = (trend_4h or "").strip().lower() if trend_4h else ""
            ss = int(signal_strength) if signal_strength is not None else 0

            allow_market_fallback = False
            if mr == "trending":
                allow_market_fallback = True
            if ss >= int(config.TRADING_CONFIG.get("SMART_ENTRY_STRONG_SIGNAL", 8) or 8) and t4 in ("up", "down"):
                allow_market_fallback = True

            # 追价上限：超过就不追，宁愿错过（避免回到“无脑追价高频打损”）
            drift_ratio_trending = self._pct_like_to_ratio(float(config.TRADING_CONFIG.get("ENTRY_MAX_DRIFT_PCT_TRENDING", 0.6) or 0.6))
            drift_ratio_ranging = self._pct_like_to_ratio(float(config.TRADING_CONFIG.get("ENTRY_MAX_DRIFT_PCT_RANGING", 0.3) or 0.3))
            max_drift_ratio = drift_ratio_trending if allow_market_fallback else drift_ratio_ranging

            # 总等待/追价参数
            timeout_sec = int(config.TRADING_CONFIG.get("ENTRY_TIMEOUT_SEC", 180) or 180)
            step_wait_sec = int(config.TRADING_CONFIG.get("ENTRY_STEP_WAIT_SEC", 15) or 15)
            chase_steps = int(config.TRADING_CONFIG.get("ENTRY_CHASE_MAX_STEPS", 4) or 4)
            market_fallback_after_sec = int(config.TRADING_CONFIG.get("ENTRY_MARKET_FALLBACK_AFTER_SEC", 45) or 45)

            # 初始限价（回调入场）
            current_px = float(entry_price)
            initial_limit = self._calc_limit_entry_price(current_px, side, limit_offset_ratio)
            if initial_limit <= 0:
                return None

            order = None
            entry_order_id = None
            order_status = None
            actual_entry_price = None
            filled_quantity = 0.0
            entry_mode_used = "limit-only" if not smart_entry_enabled else ("limit+fallback" if allow_market_fallback else "limit-chase")

            if not smart_entry_enabled:
                # 根治方案：关闭智能入场后，回归“纯限价单模式”
                # - 不追价
                # - 不市价兜底
                # - 未在确认时间内成交则撤单并跳过（属于策略未触发入场，不是系统错误）
                confirm_timeout = int(config.TRADING_CONFIG.get("ENTRY_CONFIRM_TIMEOUT_SEC", 30) or 30)
                logger.info(
                    f"{symbol} [纯限价入场] side={side} | 限价={initial_limit:.6f} (offset={limit_offset_ratio*100:.2f}%) | "
                    f"确认超时={confirm_timeout}s（未成交将撤单跳过）"
                )
                order = await self.client.place_order(
                    symbol=symbol, side=side, quantity=quantity, order_type="LIMIT", price=initial_limit
                )
                if not order:
                    return None
                entry_order_id = order.get("orderId")
                if entry_order_id:
                    self._pending_entry_orders[symbol] = {"order_id": entry_order_id, "created_at_ms": int(time.time() * 1000)}
            else:
                # 1) 先挂限价单
                logger.info(
                    f"{symbol} [智能入场] 模式={entry_mode_used} | side={side} | "
                    f"marketRegime={market_regime} trend_4h={trend_4h} strength={ss}/10 | "
                    f"初始限价={initial_limit:.6f} (offset={limit_offset_ratio*100:.2f}%) | "
                    f"追价上限={max_drift_ratio*100:.2f}%"
                )

                order = await self.client.place_order(symbol=symbol, side=side, quantity=quantity, order_type="LIMIT", price=initial_limit)
                if not order:
                    return None
                entry_order_id = order.get("orderId")
                if entry_order_id:
                    self._pending_entry_orders[symbol] = {"order_id": entry_order_id, "created_at_ms": int(time.time() * 1000)}

                start_ts = time.time()
                # 2) 分步等待 + 追价（逐步减少 offset），并在趋势强时允许市价兜底（有追价上限）
                for step in range(max(1, chase_steps)):
                    # 先等待一段时间看是否成交
                    wait_res = await self._wait_for_order_filled(symbol, int(entry_order_id), timeout_sec=step_wait_sec, poll_sec=1.0)
                    order_status = wait_res.get("status")
                    if wait_res.get("ok"):
                        actual_entry_price = float(wait_res.get("avg_price") or 0)
                        filled_quantity = float(wait_res.get("executed_qty") or 0)
                        break

                    # 未成交：如果超时太久且允许市价兜底，检查追价上限后转市价
                    elapsed = time.time() - start_ts
                    ticker2 = await self.client.get_ticker_24h(symbol)
                    cur2 = float(ticker2.get("price")) if ticker2 else current_px
                    drift_ratio = 0.0
                    try:
                        base = float(initial_limit) if float(initial_limit) > 0 else cur2
                        drift_ratio = abs((cur2 - base) / base)
                    except Exception:
                        drift_ratio = 0.0

                    if allow_market_fallback and elapsed >= market_fallback_after_sec:
                        if drift_ratio <= max_drift_ratio:
                            try:
                                await self.client.cancel_order(symbol, int(entry_order_id))
                            except Exception:
                                pass
                            self._pending_entry_orders.pop(symbol, None)
                            logger.info(f"{symbol} [智能入场] 限价超时，且偏离{drift_ratio*100:.2f}%≤{max_drift_ratio*100:.2f}%，转市价兜底")
                            order = await self.client.place_order(symbol=symbol, side=side, quantity=quantity, order_type="MARKET")
                            # 关键：转市价后必须更新 entry_order_id，否则后续会继续查询“已取消的旧限价单”，导致误判 CANCELED
                            try:
                                entry_order_id = order.get("orderId") if isinstance(order, dict) else None
                            except Exception:
                                entry_order_id = None
                            break
                        else:
                            logger.info(f"{symbol} [智能入场] 限价超时，但偏离{drift_ratio*100:.2f}%>{max_drift_ratio*100:.2f}%，取消并放弃本次交易")
                            try:
                                await self.client.cancel_order(symbol, int(entry_order_id))
                            except Exception:
                                pass
                            self._pending_entry_orders.pop(symbol, None)
                            return None

                    # 震荡/不允许市价兜底：尝试追价（减小 offset -> 更靠近当前价），但不突破追价上限
                    try:
                        await self.client.cancel_order(symbol, int(entry_order_id))
                    except Exception:
                        pass

                    # offset 逐步减少到 0（越追越接近当前价）
                    step_ratio = (step + 1) / max(1, chase_steps)
                    cur_offset_ratio = max(0.0, limit_offset_ratio * (1.0 - step_ratio))
                    desired = self._calc_limit_entry_price(cur2, side, cur_offset_ratio)
                    if side == "BUY":
                        cap = initial_limit * (1 + max_drift_ratio)
                        desired = min(desired, cap)
                    else:
                        cap = initial_limit * (1 - max_drift_ratio)
                        desired = max(desired, cap)

                    if desired <= 0:
                        self._pending_entry_orders.pop(symbol, None)
                        return None

                    logger.info(
                        f"{symbol} [智能入场] 追价 step={step+1}/{chase_steps} | 当前价={cur2:.6f} | "
                        f"offset={cur_offset_ratio*100:.3f}% -> 限价={desired:.6f} | 偏离={drift_ratio*100:.2f}%"
                    )
                    order = await self.client.place_order(symbol=symbol, side=side, quantity=quantity, order_type="LIMIT", price=desired)
                    if not order:
                        self._pending_entry_orders.pop(symbol, None)
                        return None
                    entry_order_id = order.get("orderId")
                    if entry_order_id:
                        self._pending_entry_orders[symbol] = {"order_id": entry_order_id, "created_at_ms": int(time.time() * 1000)}

                # 如果是市价兜底或最终限价成交，这里统一继续后续流程（下面会再查实际成交）

            # ===== 统一处理：确认订单成交并获取实际成交价/数量 =====
            if order:
                if not entry_order_id:
                    entry_order_id = order.get("orderId")
                if entry_order_id:
                    logger.info(f"{symbol} [开仓] 币安订单号: {entry_order_id}")
            
                # 等待订单成交，检查订单状态并获取实际成交价格
                # 只有在订单真正成交（FILLED）后才保存到数据库
                if entry_order_id:
                    # 智能入场的限价订单可能需要更长等待，这里给一个总等待兜底（默认 30s）
                    confirm_timeout = int(config.TRADING_CONFIG.get("ENTRY_CONFIRM_TIMEOUT_SEC", 30) or 30)
                    res = await self._wait_for_order_filled(symbol, int(entry_order_id), timeout_sec=confirm_timeout, poll_sec=1.0)
                    order_status = res.get("status")
                    if res.get("ok"):
                        actual_entry_price = float(res.get("avg_price") or 0)
                        filled_quantity = float(res.get("executed_qty") or 0)
                    else:
                        # 未成交（NEW/超时/CANCELED 等）属于“策略未触发入场”或“挂单没成交”
                        # 这不应当当作系统错误；同时需要撤单（best-effort），避免留下悬挂委托造成后续混乱。
                        logger.warning(f"{symbol} [开仓] 未成交，状态: {order_status}，跳过本次开仓并撤销挂单")
                        try:
                            await self.client.cancel_order(symbol, int(entry_order_id))
                        except Exception:
                            pass
                        self._pending_entry_orders.pop(symbol, None)
                        return None

                if not actual_entry_price or actual_entry_price <= 0:
                    logger.error(f"{symbol} [开仓] ❌ 无法获取实际成交价格，不保存到数据库")
                    self._pending_entry_orders.pop(symbol, None)
                    return None

                if filled_quantity <= 0:
                    logger.error(f"{symbol} [开仓] ❌ 成交数量为0，不保存到数据库")
                    self._pending_entry_orders.pop(symbol, None)
                    return None
                
                # 使用实际成交价格和数量
                original_entry_price = entry_price
                entry_price = actual_entry_price
                quantity = filled_quantity  # 使用实际成交数量
                logger.info(f"{symbol} [开仓] ✓ 使用实际成交价格: {entry_price:.4f} USDT (下单时价格: {original_entry_price:.4f}), 成交数量: {quantity:.4f}")

                # 成交后清理 pending
                self._pending_entry_orders.pop(symbol, None)

                # ===== 成交后基于“实际成交价/数量”重新计算止损止盈（修复限价/滑点导致的偏差）=====
                stop_loss_pct_margin = config.TRADING_CONFIG.get('STOP_LOSS_PERCENT', 0.03)
                stop_loss_price = self.risk_manager.get_stop_loss_price(
                    entry_price, side, quantity, leverage,
                    stop_loss_pct=stop_loss_pct_margin,
                    klines=klines,
                    bollinger=bollinger,
                    atr=atr
                )

                stop_distance_for_tp = None
                if side == 'BUY':
                    stop_distance_for_tp = entry_price - stop_loss_price
                else:
                    stop_distance_for_tp = stop_loss_price - entry_price

                if atr is not None and atr > 0 and entry_price > 0:
                    atr_percent = atr / entry_price
                    atr_multiplier = config.TRADING_CONFIG.get('ATR_STOP_LOSS_MULTIPLIER', 1.8)
                    stop_distance_for_tp = entry_price * atr_percent * atr_multiplier

                take_profit_pct_margin = config.TRADING_CONFIG.get('TAKE_PROFIT_PERCENT', 0.30)
                if take_profit_pct_margin is None or take_profit_pct_margin == 0:
                    take_profit_pct_margin = float(stop_loss_pct_margin or 0) * 3.0
                take_profit_price = self.risk_manager.get_take_profit_price(
                    entry_price, side, quantity, leverage,
                    take_profit_pct=take_profit_pct_margin,
                    atr=atr,
                    stop_distance=stop_distance_for_tp
                )

                # 分步止盈（基于“实际成交价 + 已计算的止损/止盈”）
                if side == 'BUY':
                    take_profit_1 = entry_price + (entry_price - stop_loss_price)  # 盈亏比1:1
                else:
                    take_profit_1 = entry_price - (stop_loss_price - entry_price)  # 盈亏比1:1
                take_profit_2 = take_profit_price

                # 交易规模：名义/保证金（用于统计总交易量与UI展示）
                try:
                    notional_usdt = float(entry_price) * float(quantity)
                except Exception:
                    notional_usdt = None
                try:
                    margin_usdt = (float(notional_usdt) / float(leverage)) if notional_usdt is not None and float(leverage) > 0 else notional_usdt
                except Exception:
                    margin_usdt = None
                
                # 记录到数据库（只有在订单真正成交后才保存）
                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,  # 使用实际成交数量
                            entry_price=entry_price,  # 使用实际成交价格
                            leverage=leverage,
                            entry_reason=entry_reason,
                            entry_order_id=entry_order_id,  # 保存币安订单号
                            stop_loss_price=stop_loss_price,
                            take_profit_price=take_profit_price,
                            take_profit_1=take_profit_1,
                            take_profit_2=take_profit_2,
                            atr=atr,
                            notional_usdt=notional_usdt,
                            margin_usdt=margin_usdt,
                        )
                        logger.info(f"✓ {symbol} 交易记录已保存到数据库 (ID: {trade_id}, 订单号: {entry_order_id}, 成交价: {entry_price:.4f}, 成交数量: {quantity:.4f})")
                    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()}")
                        return None
                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（包含动态止损止盈和分步止盈）
                from datetime import datetime
                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,  # 保留原始止盈价（第二目标）
                    'takeProfit1': take_profit_1,  # 第一目标（盈亏比1:1，了结50%）
                    'takeProfit2': take_profit_2,  # 第二目标（原始止盈价，剩余50%）
                    'partialProfitTaken': False,  # 是否已部分止盈
                    'remainingQuantity': quantity,  # 剩余仓位数量
                    'initialStopLoss': stop_loss_price,  # 初始止损（用于移动止损）
                    'leverage': leverage,
                    'entryReason': entry_reason,
                    'entryTime': get_beijing_time(),  # 记录入场时间（使用北京时间，用于计算持仓持续时间）
                    'strategyType': 'trend_following',  # 策略类型（简化后只有趋势跟踪）
                    '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}%)"
                )
                
                # 验证持仓是否真的在币安存在
                try:
                    await asyncio.sleep(0.5)  # 等待一小段时间让币安更新持仓
                    positions = await self.client.get_open_positions()
                    binance_position = next(
                        (p for p in positions if p['symbol'] == symbol and float(p.get('positionAmt', 0)) != 0),
                        None
                    )
                    if binance_position:
                        logger.info(
                            f"{symbol} [开仓验证] ✓ 币安持仓确认: "
                            f"数量={float(binance_position.get('positionAmt', 0)):.4f}, "
                            f"入场价={float(binance_position.get('entryPrice', 0)):.4f}"
                        )
                        # 在币安侧挂“止损/止盈保护单”，避免仅依赖本地监控（服务重启/网络波动时更安全）
                        try:
                            current_mark = None
                            try:
                                current_mark = float(binance_position.get("markPrice", 0) or 0) or None
                            except Exception:
                                current_mark = None
                            await self._ensure_exchange_sltp_orders(symbol, position_info, current_price=current_mark)
                        except Exception as e:
                            logger.warning(f"{symbol} 挂币安止盈止损失败（不影响持仓监控）: {e}")
                    else:
                        logger.warning(
                            f"{symbol} [开仓验证] ⚠️ 币安账户中没有持仓，可能订单未成交或被立即平仓"
                        )
                        # 清理本地记录
                        if symbol in self.active_positions:
                            del self.active_positions[symbol]
                        # 如果数据库已保存，标记为取消
                        if trade_id and DB_AVAILABLE and Trade:
                            try:
                                from database.connection import db
                                db.execute_update(
                                    "UPDATE trades SET status = 'cancelled' WHERE id = %s",
                                    (trade_id,)
                                )
                                logger.info(f"{symbol} [开仓验证] 已更新数据库状态为 cancelled (ID: {trade_id})")
                            except Exception as e:
                                logger.warning(f"{symbol} [开仓验证] 更新数据库状态失败: {e}")
                        return None
                except Exception as verify_error:
                    logger.warning(f"{symbol} [开仓验证] 验证持仓时出错: {verify_error}，继续使用本地记录")
                
                # 启动WebSocket实时监控
                if self._monitoring_enabled:
                    await self._start_position_monitoring(symbol)

                # 记录“今日开仓次数”（用于用户风控旋钮 MAX_DAILY_ENTRIES）
                try:
                    await self.risk_manager.record_entry(symbol)
                except Exception:
                    pass
                
                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})")

            # 先取消币安侧的保护单（避免平仓后残留委托导致反向开仓/误触发）
            try:
                info0 = self.active_positions.get(symbol) if hasattr(self, "active_positions") else None
                if info0 and isinstance(info0, dict):
                    for k in ("exchangeSlOrderId", "exchangeTpOrderId"):
                        oid = info0.get(k)
                        if oid:
                            try:
                                await self.client.futures_cancel_algo_order(int(oid))
                            except Exception:
                                pass
                    info0.pop("exchangeSlOrderId", None)
                    info0.pop("exchangeTpOrderId", None)
            except Exception:
                pass
            
            # 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
                updated = False
                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
                            
                            # 同步平仓时没有订单号，设为None
                            # 计算持仓持续时间和策略类型
                            entry_time = position_info.get('entryTime')
                            duration_minutes = None
                            if entry_time:
                                try:
                                    if isinstance(entry_time, str):
                                        entry_dt = datetime.strptime(entry_time, '%Y-%m-%d %H:%M:%S')
                                    else:
                                        entry_dt = entry_time
                                    exit_dt = get_beijing_time()  # 使用北京时间计算持续时间
                                    duration = exit_dt - entry_dt
                                    duration_minutes = int(duration.total_seconds() / 60)
                                except Exception as e:
                                    logger.debug(f"计算持仓持续时间失败: {e}")
                            
                            strategy_type = position_info.get('strategyType', 'trend_following')
                            
                            Trade.update_exit(
                                trade_id=trade_id,
                                exit_price=exit_price,
                                exit_reason=reason,
                                pnl=pnl,
                                pnl_percent=pnl_percent,
                                exit_order_id=None,  # 同步平仓时没有订单号
                                strategy_type=strategy_type,
                                duration_minutes=duration_minutes
                            )
                            logger.info(f"{symbol} [平仓] ✓ 数据库状态已更新")
                            updated = True
                        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]
                
                # 如果更新了数据库，返回成功；否则返回失败
                return updated
            
            # 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)
            position_side = 'LONG' if position_amt > 0 else 'SHORT'

            # 二次校验：用币安实时持仓数量兜底，避免 reduceOnly 被拒绝（-2022）
            live_amt = await self._get_live_position_amt(symbol, position_side=position_side)
            if live_amt is None or abs(live_amt) <= 0:
                logger.warning(f"{symbol} [平仓] 实时查询到持仓已为0，跳过下单并按已平仓处理")
                # 复用“币安无持仓”的处理逻辑：走上面的分支
                position = None
                # 触发上方逻辑：直接返回 updated/清理
                # 这里简单调用同步函数路径
                ticker = await self.client.get_ticker_24h(symbol)
                exit_price = float(ticker['price']) if ticker else float(position.get('entryPrice', 0) if position else 0)
                await self._stop_position_monitoring(symbol)
                if symbol in self.active_positions:
                    del self.active_positions[symbol]
                logger.info(f"{symbol} [平仓] 已清理本地记录（币安无持仓）")
                return True

            # 以币安实时持仓数量为准（并向下截断到不超过持仓）
            quantity = min(quantity, abs(live_amt))
            quantity = await self._adjust_close_quantity(symbol, quantity)
            if quantity <= 0:
                logger.warning(f"{symbol} [平仓] 数量调整后为0，跳过下单并清理本地记录")
                await self._stop_position_monitoring(symbol)
                if symbol in self.active_positions:
                    del self.active_positions[symbol]
                return True
            
            logger.info(
                f"{symbol} [平仓] 下单信息: {side} {quantity:.4f} @ MARKET "
                f"(持仓数量: {position_amt:.4f})"
            )
            
            # 平仓（使用 reduceOnly=True 确保只减少持仓，不增加反向持仓）
            try:
                logger.debug(f"{symbol} [平仓] 调用 place_order: {side} {quantity:.4f} @ MARKET (reduceOnly=True)")
                order = await self.client.place_order(
                    symbol=symbol,
                    side=side,
                    quantity=quantity,
                    order_type='MARKET',
                    reduce_only=True,  # 平仓时使用 reduceOnly=True
                    position_side=position_side,  # 兼容对冲模式（Hedge）：必须指定 LONG/SHORT
                )
                logger.debug(f"{symbol} [平仓] place_order 返回: {order}")
            except Exception as order_error:
                logger.error(f"{symbol} [平仓] ❌ 下单失败: {order_error}")
                logger.error(f"   下单参数: symbol={symbol}, side={side}, quantity={quantity:.4f}, order_type=MARKET")
                logger.error(f"   错误类型: {type(order_error).__name__}")
                import traceback
                logger.error(f"   完整错误堆栈:\n{traceback.format_exc()}")
                raise  # 重新抛出异常，让外层捕获
            
            if order:
                order_id = order.get('orderId')
                logger.info(f"{symbol} [平仓] ✓ 平仓订单已提交 (订单ID: {order_id})")
                
                # 等待订单成交，然后从币安获取实际成交价格
                exit_price = None
                try:
                    # 等待一小段时间让订单成交
                    await asyncio.sleep(1)
                    
                    # 从币安获取订单详情，获取实际成交价格
                    try:
                        order_info = await self.client.client.futures_get_order(symbol=symbol, orderId=order_id)
                        if order_info:
                            # 优先使用平均成交价格（avgPrice），如果没有则使用价格字段
                            exit_price = float(order_info.get('avgPrice', 0)) or float(order_info.get('price', 0))
                            if exit_price > 0:
                                logger.info(f"{symbol} [平仓] 从币安订单获取实际成交价格: {exit_price:.4f} USDT")
                            else:
                                # 如果订单还没有完全成交，尝试从成交记录获取
                                if order_info.get('status') == 'FILLED' and order_info.get('fills'):
                                    # 计算加权平均成交价格
                                    total_qty = 0
                                    total_value = 0
                                    for fill in order_info.get('fills', []):
                                        qty = float(fill.get('qty', 0))
                                        price = float(fill.get('price', 0))
                                        total_qty += qty
                                        total_value += qty * price
                                    if total_qty > 0:
                                        exit_price = total_value / total_qty
                                        logger.info(f"{symbol} [平仓] 从成交记录计算平均成交价格: {exit_price:.4f} USDT")
                    except Exception as order_error:
                        logger.warning(f"{symbol} [平仓] 获取订单详情失败: {order_error}，使用备用方法")
                    
                    # 如果无法从订单获取价格，使用当前价格作为备用
                    if not exit_price or exit_price <= 0:
                        ticker = await self.client.get_ticker_24h(symbol)
                        if ticker:
                            exit_price = float(ticker['price'])
                            logger.warning(f"{symbol} [平仓] 使用当前价格作为平仓价格: {exit_price:.4f} USDT")
                        else:
                            exit_price = float(order.get('avgPrice', 0)) or float(order.get('price', 0))
                            if exit_price <= 0:
                                logger.error(f"{symbol} [平仓] 无法获取平仓价格，使用订单价格字段")
                                exit_price = float(order.get('price', 0))
                except Exception as price_error:
                    logger.warning(f"{symbol} [平仓] 获取成交价格时出错: {price_error}，使用当前价格")
                    ticker = await self.client.get_ticker_24h(symbol)
                    exit_price = float(ticker['price']) if ticker else float(order.get('price', 0))
                
                # 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
                            
                            # 获取平仓订单号
                            exit_order_id = order.get('orderId')
                            if exit_order_id:
                                logger.info(f"{symbol} [平仓] 币安订单号: {exit_order_id}")
                            
                            # 计算持仓持续时间
                            entry_time = position_info.get('entryTime')
                            duration_minutes = None
                            if entry_time:
                                try:
                                    if isinstance(entry_time, str):
                                        entry_dt = datetime.strptime(entry_time, '%Y-%m-%d %H:%M:%S')
                                    else:
                                        entry_dt = entry_time
                                    exit_dt = get_beijing_time()  # 使用北京时间计算持续时间
                                    duration = exit_dt - entry_dt
                                    duration_minutes = int(duration.total_seconds() / 60)
                                except Exception as e:
                                    logger.debug(f"计算持仓持续时间失败: {e}")
                            
                            # 获取策略类型（从开仓原因或持仓信息中获取）
                            strategy_type = position_info.get('strategyType', 'trend_following')  # 默认趋势跟踪
                            
                            Trade.update_exit(
                                trade_id=trade_id,
                                exit_price=exit_price_float,
                                exit_reason=reason,
                                pnl=pnl,
                                pnl_percent=pnl_percent,
                                exit_order_id=exit_order_id,  # 保存币安平仓订单号
                                strategy_type=strategy_type,
                                duration_minutes=duration_minutes
                            )
                            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
            else:
                # place_order 返回 None：可能是 -2022（ReduceOnly rejected）等竞态场景
                # 兜底：再查一次实时持仓，如果已经为0，则当作“已平仓”处理，避免刷屏与误判失败
                try:
                    live2 = await self._get_live_position_amt(symbol, position_side=position_side)
                except Exception:
                    live2 = None
                if live2 is None or abs(live2) <= 0:
                    logger.warning(f"{symbol} [平仓] 下单返回None，但实时持仓已为0，按已平仓处理（可能竞态/手动平仓）")
                    await self._stop_position_monitoring(symbol)
                    if symbol in self.active_positions:
                        del self.active_positions[symbol]
                    return True

                logger.error(f"{symbol} [平仓] ❌ 下单返回 None（实时持仓仍存在: {live2}），可能的原因：")
                logger.error(f"   1. ReduceOnly 被拒绝（-2022）但持仓未同步")
                logger.error(f"   2. 数量精度调整后为 0 或负数")
                logger.error(f"   3. 无法获取价格信息")
                logger.error(f"   4. 其他下单错误（已在 place_order 中记录）")
                logger.error(f"   持仓信息: {side} {quantity:.4f} @ MARKET")
                
                # 尝试获取更多诊断信息
                try:
                    symbol_info = await self.client.get_symbol_info(symbol)
                    ticker = await self.client.get_ticker_24h(symbol)
                    if ticker:
                        current_price = ticker['price']
                        notional_value = quantity * current_price
                        min_notional = symbol_info.get('minNotional', 5.0) if symbol_info else 5.0
                        logger.error(f"   当前价格: {current_price:.4f} USDT")
                        logger.error(f"   订单名义价值: {notional_value:.2f} USDT")
                        logger.error(f"   最小名义价值: {min_notional:.2f} USDT")
                        if notional_value < min_notional:
                            logger.error(f"   ⚠ 订单名义价值不足，无法平仓")
                except Exception as diag_error:
                    logger.warning(f"   无法获取诊断信息: {diag_error}")
                
                return False
            
        except Exception as e:
            logger.error(f"{symbol} [平仓] ❌ 平仓失败: {e}")
            logger.error(f"   错误类型: {type(e).__name__}")
            import traceback
            logger.error(f"   完整错误堆栈:\n{traceback.format_exc()}")
            
            # 关键：平仓失败时不要盲目清理本地持仓/停止监控，否则会导致“仍有仓位但不再监控/不再自动止损止盈”
            # 仅当确认币安已无持仓（或实时持仓为0）时，才清理本地记录。
            try:
                amt0 = await self._get_live_position_amt(symbol, position_side=None)
            except Exception:
                amt0 = None
            if amt0 is not None and abs(amt0) <= 0:
                try:
                    await self._stop_position_monitoring(symbol)
                except Exception:
                    pass
                try:
                    if symbol in self.active_positions:
                        del self.active_positions[symbol]
                except Exception:
                    pass
                logger.warning(f"{symbol} [平仓] 异常后检查：币安持仓已为0，已清理本地记录")
            else:
                logger.warning(
                    f"{symbol} [平仓] 异常后检查：币安持仓仍可能存在(amt={amt0})，保留本地记录与监控，等待下次同步/重试"
                )
            
            return False

    async def _get_live_position_amt(self, symbol: str, position_side: Optional[str] = None) -> Optional[float]:
        """
        从币安原始接口读取持仓数量（避免本地状态/缓存不一致导致 reduceOnly 被拒绝）。
        - 单向模式：通常只有一个 net 持仓
        - 对冲模式：可能同时有 LONG/SHORT，两条腿用 positionSide 区分
        """
        try:
            if not getattr(self.client, "client", None):
                return None
            res = await self.client.client.futures_position_information(symbol=symbol)
            if not isinstance(res, list):
                return None
            ps = (position_side or "").upper()
            nonzero = []
            for p in res:
                if not isinstance(p, dict):
                    continue
                try:
                    amt = float(p.get("positionAmt", 0))
                except Exception:
                    continue
                if abs(amt) <= 0:
                    continue
                nonzero.append((amt, p))
            if not nonzero:
                return 0.0
            if ps in ("LONG", "SHORT"):
                for amt, p in nonzero:
                    pps = (p.get("positionSide") or "").upper()
                    if pps == ps:
                        return amt
                # 如果没匹配到 positionSide，退化为按符号推断
                if ps == "LONG":
                    cand = next((amt for amt, _ in nonzero if amt > 0), None)
                    return cand if cand is not None else 0.0
                if ps == "SHORT":
                    cand = next((amt for amt, _ in nonzero if amt < 0), None)
                    return cand if cand is not None else 0.0
            # 没提供 position_side：返回净持仓（单向模式）
            return sum([amt for amt, _ in nonzero])
        except Exception as e:
            logger.debug(f"{symbol} 读取实时持仓失败: {e}")
            return None

    async def _adjust_close_quantity(self, symbol: str, quantity: float) -> float:
        """
        平仓数量调整：只允许向下取整（避免超过持仓导致 reduceOnly 被拒绝）。
        """
        try:
            symbol_info = await self.client.get_symbol_info(symbol)
        except Exception:
            symbol_info = None

        try:
            q = float(quantity)
        except Exception:
            return 0.0

        if not symbol_info:
            return max(0.0, q)

        try:
            step_size = float(symbol_info.get("stepSize", 0) or 0)
        except Exception:
            step_size = 0.0
        qty_precision = int(symbol_info.get("quantityPrecision", 8) or 8)

        if step_size and step_size > 0:
            q = float(int(q / step_size)) * step_size
        else:
            q = round(q, qty_precision)
        q = round(q, qty_precision)
        return max(0.0, q)

    async def _ensure_exchange_sltp_orders(self, symbol: str, position_info: Dict, current_price: Optional[float] = None) -> None:
        """
        在币安侧挂止损/止盈保护单（STOP_MARKET + TAKE_PROFIT_MARKET）。
        目的：
        - 服务重启/网络波动时仍有交易所级别保护
        - 用户在币安界面能看到止损/止盈委托
        """
        try:
            enabled = bool(config.TRADING_CONFIG.get("EXCHANGE_SLTP_ENABLED", True))
        except Exception:
            enabled = True
        if not enabled:
            return

        if not position_info or not isinstance(position_info, dict):
            return

        side = (position_info.get("side") or "").upper()
        if side not in {"BUY", "SELL"}:
            return

        stop_loss = position_info.get("stopLoss")
        take_profit = position_info.get("takeProfit2") or position_info.get("takeProfit")
        try:
            stop_loss = float(stop_loss) if stop_loss is not None else None
        except Exception:
            stop_loss = None
        try:
            take_profit = float(take_profit) if take_profit is not None else None
        except Exception:
            take_profit = None

        if not stop_loss or not take_profit:
            return

        # 防重复：先取消旧的保护单（仅取消特定类型，避免误伤普通挂单）
        try:
            await self.client.cancel_open_algo_orders_by_order_types(
                symbol, {"STOP_MARKET", "TAKE_PROFIT_MARKET", "TRAILING_STOP_MARKET"}
            )
        except Exception:
            pass

        sl_order = await self.client.place_trigger_close_position_order(
            symbol=symbol,
            position_direction=side,
            trigger_type="STOP_MARKET",
            stop_price=stop_loss,
            current_price=current_price,
            working_type="MARK_PRICE",
        )
        tp_order = await self.client.place_trigger_close_position_order(
            symbol=symbol,
            position_direction=side,
            trigger_type="TAKE_PROFIT_MARKET",
            stop_price=take_profit,
            current_price=current_price,
            working_type="MARK_PRICE",
        )

        try:
            # Algo 接口返回 algoId
            position_info["exchangeSlOrderId"] = sl_order.get("algoId") if isinstance(sl_order, dict) else None
        except Exception:
            position_info["exchangeSlOrderId"] = None
        try:
            position_info["exchangeTpOrderId"] = tp_order.get("algoId") if isinstance(tp_order, dict) else None
        except Exception:
            position_info["exchangeTpOrderId"] = None

        if position_info.get("exchangeSlOrderId") or position_info.get("exchangeTpOrderId"):
            logger.info(
                f"{symbol} 已挂币安保护单: "
                f"SL={position_info.get('exchangeSlOrderId') or '-'} "
                f"TP={position_info.get('exchangeTpOrderId') or '-'}"
            )
    
    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（基于保证金）
                leverage = position_info.get('leverage', 10)
                position_value = entry_price * quantity
                margin = position_value / leverage if leverage > 0 else position_value
                
                # 计算盈亏金额
                if position_info['side'] == 'BUY':
                    pnl_amount = (current_price - entry_price) * quantity
                else:
                    pnl_amount = (entry_price - current_price) * quantity
                
                # 计算盈亏百分比（相对于保证金，与币安一致）
                pnl_percent_margin = (pnl_amount / margin * 100) if margin > 0 else 0
                
                # 也计算价格百分比（用于显示和移动止损）
                if position_info['side'] == 'BUY':
                    pnl_percent_price = ((current_price - entry_price) / entry_price) * 100
                else:
                    pnl_percent_price = ((entry_price - current_price) / entry_price) * 100
                
                # 更新最大盈利（基于保证金）
                if pnl_percent_margin > position_info.get('maxProfit', 0):
                    position_info['maxProfit'] = pnl_percent_margin
                
                # 移动止损逻辑（盈利后保护利润，基于保证金）
                # 每次检查时从Redis重新加载配置，确保配置修改能即时生效
                try:
                    if config._config_manager:
                        config._config_manager.reload_from_redis()
                        config.TRADING_CONFIG = config._get_trading_config()
                except Exception as e:
                    logger.debug(f"从Redis重新加载配置失败: {e}")
                
                # 检查是否启用移动止损（默认False，需要显式启用）
                use_trailing = config.TRADING_CONFIG.get('USE_TRAILING_STOP', False)
                if use_trailing:
                    logger.debug(f"{symbol} [移动止损] 已启用，将检查移动止损逻辑")
                else:
                    logger.debug(f"{symbol} [移动止损] 已禁用（USE_TRAILING_STOP=False），跳过移动止损检查")
                if use_trailing:
                    trailing_activation = config.TRADING_CONFIG.get('TRAILING_STOP_ACTIVATION', 0.01)  # 相对于保证金
                    trailing_protect = config.TRADING_CONFIG.get('TRAILING_STOP_PROTECT', 0.01)  # 相对于保证金
                    
                    if not position_info.get('trailingStopActivated', False):
                        # 盈利超过阈值后（相对于保证金），激活移动止损
                        if pnl_percent_margin > 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_margin:.2f}% of margin)"
                            )
                    else:
                        # 盈利超过阈值后，止损移至保护利润位（基于保证金）
                        # 如果已经部分止盈，使用剩余仓位计算
                        if position_info.get('partialProfitTaken', False):
                            remaining_quantity = position_info.get('remainingQuantity', quantity)
                            remaining_margin = (entry_price * remaining_quantity) / leverage if leverage > 0 else (entry_price * remaining_quantity)
                            protect_amount = remaining_margin * trailing_protect
                            
                            # 计算剩余仓位的盈亏
                            if position_info['side'] == 'BUY':
                                remaining_pnl = (current_price - entry_price) * remaining_quantity
                            else:
                                remaining_pnl = (entry_price - current_price) * remaining_quantity
                            
                            # 计算新的止损价（基于剩余仓位）
                            if position_info['side'] == 'BUY':
                                new_stop_loss = entry_price + (remaining_pnl - protect_amount) / remaining_quantity
                                if new_stop_loss > position_info['stopLoss']:
                                    position_info['stopLoss'] = new_stop_loss
                                    logger.info(
                                        f"{symbol} 移动止损更新（剩余仓位）: {new_stop_loss:.4f} "
                                        f"(保护{trailing_protect*100:.1f}% of remaining margin = {protect_amount:.4f} USDT, "
                                        f"剩余数量: {remaining_quantity:.4f})"
                                    )
                            else:
                                # 做空：止损价 = 开仓价 + (剩余盈亏 - 保护金额) / 剩余数量
                                # 注意：对于做空，止损价应该高于开仓价，所以用加法
                                # 移动止损只应该在盈利时激活
                                new_stop_loss = entry_price + (remaining_pnl - protect_amount) / remaining_quantity
                                # 对于做空，止损价应该越来越高（更宽松），所以检查 new_stop_loss > 当前止损
                                # 同时，移动止损只应该在盈利时激活
                                if new_stop_loss > position_info['stopLoss'] and remaining_pnl > 0:
                                    position_info['stopLoss'] = new_stop_loss
                                    logger.info(
                                        f"{symbol} 移动止损更新（剩余仓位）: {new_stop_loss:.4f} "
                                        f"(保护{trailing_protect*100:.1f}% of remaining margin = {protect_amount:.4f} USDT, "
                                        f"剩余数量: {remaining_quantity:.4f})"
                                    )
                        else:
                            # 未部分止盈，使用原始仓位计算
                            protect_amount = margin * trailing_protect
                            # 计算对应的止损价
                            if position_info['side'] == 'BUY':
                                # 保护利润：当前盈亏 - 保护金额 = (止损价 - 开仓价) × 数量
                                # 所以：止损价 = 开仓价 + (当前盈亏 - 保护金额) / 数量
                                new_stop_loss = entry_price + (pnl_amount - protect_amount) / quantity
                                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}% of margin = {protect_amount:.4f} USDT)"
                                    )
                            else:
                                # 做空：止损价 = 开仓价 + (当前盈亏 - 保护金额) / 数量
                                # 注意：对于做空，止损价应该高于开仓价，所以用加法
                                # 当盈利时（pnl_amount > 0），止损价应该往上移（更宽松）
                                # 当亏损时（pnl_amount < 0），不应该移动止损（保持初始止损）
                                new_stop_loss = entry_price + (pnl_amount - protect_amount) / quantity
                                # 对于做空，止损价应该越来越高（更宽松），所以检查 new_stop_loss > 当前止损
                                # 同时，移动止损只应该在盈利时激活，不应该在亏损时把止损往下移
                                if new_stop_loss > position_info['stopLoss'] and pnl_amount > 0:
                                    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}% of margin = {protect_amount:.4f} USDT)"
                                    )
                
                # 检查止损（使用更新后的止损价，基于保证金收益比）
                # ⚠️ 重要：止损检查应该在时间锁之前，止损必须立即执行
                stop_loss = position_info.get('stopLoss')
                should_close_due_to_sl = False
                exit_reason_sl = None
                
                if stop_loss is None:
                    logger.warning(f"{symbol} 止损价未设置，跳过止损检查")
                elif stop_loss is not None:
                    # 计算止损对应的保证金百分比目标
                    if position_info['side'] == 'BUY':
                        stop_loss_amount = (entry_price - stop_loss) * quantity
                    else:  # SELL
                        stop_loss_amount = (stop_loss - entry_price) * quantity
                    
                    stop_loss_pct_margin = (stop_loss_amount / margin * 100) if margin > 0 else 0
                    
                    # 直接比较当前盈亏百分比与止损目标（基于保证金）
                    if pnl_percent_margin <= -stop_loss_pct_margin:
                        should_close_due_to_sl = True
                        exit_reason_sl = 'trailing_stop' if position_info.get('trailingStopActivated') else 'stop_loss'
                        
                        # 计算持仓时间
                        entry_time = position_info.get('entryTime')
                        hold_time_minutes = 0
                        if entry_time:
                            try:
                                if isinstance(entry_time, datetime):
                                    hold_time_sec = int((get_beijing_time() - entry_time).total_seconds())
                                else:
                                    hold_time_sec = int(time.time() - (float(entry_time) if isinstance(entry_time, (int, float)) else 0))
                                hold_time_minutes = hold_time_sec / 60.0
                            except Exception:
                                hold_time_minutes = 0
                        
                        # 详细诊断日志：记录平仓时的所有关键信息
                        logger.warning("=" * 80)
                        logger.warning(f"{symbol} [平仓诊断日志] ===== 触发止损平仓 =====")
                        logger.warning(f"  平仓原因: {exit_reason_sl}")
                        logger.warning(f"  入场价格: {entry_price:.6f} USDT")
                        logger.warning(f"  当前价格: {current_price:.4f} USDT")
                        logger.warning(f"  止损价格: {stop_loss:.4f} USDT")
                        logger.warning(f"  持仓数量: {quantity:.4f}")
                        logger.warning(f"  持仓时间: {hold_time_minutes:.1f} 分钟")
                        logger.warning(f"  入场时间: {entry_time}")
                        logger.warning(f"  当前盈亏: {pnl_percent_margin:.2f}% of margin")
                        logger.warning(f"  止损目标: -{stop_loss_pct_margin*100:.2f}% of margin")
                        logger.warning(f"  亏损金额: {abs(pnl_amount):.4f} USDT")
                        if position_info.get('trailingStopActivated'):
                            logger.warning(f"  移动止损: 已激活（从初始止损 {position_info.get('initialStopLoss', 'N/A')} 调整）")
                        logger.warning("=" * 80)
                        
                        # 止损必须立即执行，不受时间锁限制
                        # 更新数据库
                        # 更新数据库
                        if DB_AVAILABLE:
                            trade_id = position_info.get('tradeId')
                            if trade_id:
                                try:
                                    # 计算持仓持续时间
                                    entry_time = position_info.get('entryTime')
                                    duration_minutes = None
                                    if entry_time:
                                        try:
                                            if isinstance(entry_time, str):
                                                entry_dt = datetime.strptime(entry_time, '%Y-%m-%d %H:%M:%S')
                                            else:
                                                entry_dt = entry_time
                                            exit_dt = get_beijing_time()  # 使用北京时间计算持续时间
                                            duration = exit_dt - entry_dt
                                            duration_minutes = int(duration.total_seconds() / 60)
                                        except Exception as e:
                                            logger.debug(f"计算持仓持续时间失败: {e}")
                                    
                                    # 获取策略类型
                                    strategy_type = position_info.get('strategyType', 'trend_following')
                                    
                                    Trade.update_exit(
                                        trade_id=trade_id,
                                        exit_price=current_price,
                                        exit_reason=exit_reason,
                                        pnl=pnl_amount,
                                        pnl_percent=pnl_percent_margin,
                                        strategy_type=strategy_type,
                                        duration_minutes=duration_minutes
                                    )
                                except Exception as e:
                                    logger.warning(f"更新止损记录失败: {e}")
                        # ⚠️ 关键修复：止损必须立即执行，不受时间锁限制
                        if await self.close_position(symbol, reason=exit_reason_sl):
                            closed_positions.append(symbol)
                        continue  # 止损已执行，跳过后续止盈检查
                
                # 检查分步止盈（基于保证金收益比）
                # ⚠️ 优化：已移除止盈时间锁，止盈可以立即执行（与止损一致）
                # 理由：1) 止损已不受时间锁限制，止盈也应该一致
                #       2) 分步止盈策略本身已提供利润保护（50%在1:1止盈，剩余保本）
                #       3) 交易所级别止盈单已提供保护
                #       4) 及时止盈可以保护利润，避免价格回落
                take_profit_1 = position_info.get('takeProfit1')  # 第一目标（盈亏比1:1）
                take_profit_2 = position_info.get('takeProfit2', position_info.get('takeProfit'))  # 第二目标
                partial_profit_taken = position_info.get('partialProfitTaken', False)
                remaining_quantity = position_info.get('remainingQuantity', quantity)
                
                # 第一目标：盈亏比1:1，了结50%仓位
                # ✅ 已移除时间锁限制，可以立即执行
                if not partial_profit_taken and take_profit_1 is not None:
                    # 计算第一目标对应的保证金百分比
                    if position_info['side'] == 'BUY':
                        take_profit_1_amount = (take_profit_1 - entry_price) * quantity
                    else:  # SELL
                        take_profit_1_amount = (entry_price - take_profit_1) * quantity
                    take_profit_1_pct_margin = (take_profit_1_amount / margin * 100) if margin > 0 else 0
                    
                    # 直接比较当前盈亏百分比与第一目标（基于保证金）
                    if pnl_percent_margin >= take_profit_1_pct_margin:
                        logger.info(
                            f"{symbol} 触发第一目标止盈（盈亏比1:1，基于保证金）: "
                            f"当前盈亏={pnl_percent_margin:.2f}% of margin >= 目标={take_profit_1_pct_margin:.2f}% of margin | "
                            f"当前价={current_price:.4f}, 目标价={take_profit_1:.4f}"
                        )
                        # 部分平仓50%
                        partial_quantity = quantity * 0.5
                        try:
                            # 部分平仓
                            close_side = 'SELL' if position_info['side'] == 'BUY' else 'BUY'
                            close_position_side = 'LONG' if position_info['side'] == 'BUY' else 'SHORT'
                            # 二次校验并截断数量，避免 reduceOnly 被拒绝（-2022）
                            live_amt = await self._get_live_position_amt(symbol, position_side=close_position_side)
                            if live_amt is None or abs(live_amt) <= 0:
                                logger.warning(f"{symbol} 部分止盈：实时持仓已为0，跳过部分平仓")
                                continue
                            partial_quantity = min(partial_quantity, abs(live_amt))
                            partial_quantity = await self._adjust_close_quantity(symbol, partial_quantity)
                            if partial_quantity <= 0:
                                logger.warning(f"{symbol} 部分止盈：数量调整后为0，跳过")
                                continue
                            partial_order = await self.client.place_order(
                                symbol=symbol,
                                side=close_side,
                                quantity=partial_quantity,
                                order_type='MARKET',
                                reduce_only=True,  # 部分止盈必须 reduceOnly，避免反向开仓
                                position_side=close_position_side,  # 兼容对冲模式：指定要减少的持仓方向
                            )
                            if partial_order:
                                position_info['partialProfitTaken'] = True
                                position_info['remainingQuantity'] = remaining_quantity - partial_quantity
                                logger.info(
                                    f"{symbol} 部分止盈成功: 平仓{partial_quantity:.4f}，剩余{position_info['remainingQuantity']:.4f}"
                                )
                                # 分步止盈后的“保本”处理：
                                # - 若启用 USE_TRAILING_STOP：允许把剩余仓位止损移至成本价，并进入移动止损阶段
                                # - 若关闭 USE_TRAILING_STOP：严格不自动移动止损（避免你说的“仍然保本/仍然移动止损”）
                                # 无论是否启用移动止损，分步止盈后都将剩余仓位止损移至成本价（保本）
                                # 这样既不错失后续行情，又彻底杜绝了该笔交易亏损的可能
                                position_info['stopLoss'] = entry_price
                                logger.info(
                                    f"{symbol} 部分止盈后：剩余仓位止损移至成本价 {entry_price:.4f}（保本），"
                                    f"剩余50%仓位追求1.5:1止盈目标"
                                )
                            else:
                                # 兜底：可能遇到 -2022（reduceOnly rejected）等竞态，重新查一次持仓
                                try:
                                    live2 = await self._get_live_position_amt(symbol, position_side=close_position_side)
                                except Exception:
                                    live2 = None
                                if live2 is None or abs(live2) <= 0:
                                    logger.warning(f"{symbol} 部分止盈下单返回None，但实时持仓已为0，跳过")
                                    continue
                                logger.warning(f"{symbol} 部分止盈下单返回None（实时持仓仍存在: {live2}），稍后将继续由止损/止盈逻辑处理")
                        except Exception as e:
                            logger.error(f"{symbol} 部分止盈失败: {e}")
                
                # 第二目标：原始止盈价，平掉剩余仓位（基于保证金收益比）
                # ✅ 已移除时间锁限制，可以立即执行
                if partial_profit_taken and take_profit_2 is not None:
                    # 计算第二目标对应的保证金百分比
                    if position_info['side'] == 'BUY':
                        take_profit_2_amount = (take_profit_2 - entry_price) * remaining_quantity
                    else:  # SELL
                        take_profit_2_amount = (entry_price - take_profit_2) * remaining_quantity
                    # 使用剩余仓位的保证金
                    remaining_margin = (entry_price * remaining_quantity) / leverage if leverage > 0 else (entry_price * remaining_quantity)
                    take_profit_2_pct_margin = (take_profit_2_amount / remaining_margin * 100) if remaining_margin > 0 else 0
                    # 计算剩余仓位的当前盈亏
                    if position_info['side'] == 'BUY':
                        remaining_pnl_amount = (current_price - entry_price) * remaining_quantity
                    else:
                        remaining_pnl_amount = (entry_price - current_price) * remaining_quantity
                    remaining_pnl_pct_margin = (remaining_pnl_amount / remaining_margin * 100) if remaining_margin > 0 else 0
                    
                    # 直接比较剩余仓位盈亏百分比与第二目标（基于保证金）
                    if remaining_pnl_pct_margin >= take_profit_2_pct_margin:
                        logger.info(
                            f"{symbol} 触发第二目标止盈（基于保证金）: "
                            f"剩余仓位盈亏={remaining_pnl_pct_margin:.2f}% of margin >= 目标={take_profit_2_pct_margin:.2f}% of margin | "
                            f"当前价={current_price:.4f}, 目标价={take_profit_2:.4f}, "
                            f"剩余数量={remaining_quantity:.4f}"
                        )
                        exit_reason = 'take_profit'
                        # 计算总盈亏（原始仓位 + 部分止盈的盈亏）
                        # 部分止盈时的价格需要从数据库或记录中获取，这里简化处理
                        total_pnl_amount = remaining_pnl_amount  # 简化：只计算剩余仓位盈亏
                        total_pnl_percent = (total_pnl_amount / margin * 100) if margin > 0 else 0
                        
                        # 更新数据库
                        if DB_AVAILABLE:
                            trade_id = position_info.get('tradeId')
                            if trade_id:
                                try:
                                    # 计算持仓持续时间
                                    entry_time = position_info.get('entryTime')
                                    duration_minutes = None
                                    if entry_time:
                                        try:
                                            if isinstance(entry_time, str):
                                                entry_dt = datetime.strptime(entry_time, '%Y-%m-%d %H:%M:%S')
                                            else:
                                                entry_dt = entry_time
                                            exit_dt = get_beijing_time()  # 使用北京时间计算持续时间
                                            duration = exit_dt - entry_dt
                                            duration_minutes = int(duration.total_seconds() / 60)
                                        except Exception as e:
                                            logger.debug(f"计算持仓持续时间失败: {e}")
                                    
                                    # 获取策略类型
                                    strategy_type = position_info.get('strategyType', 'trend_following')
                                    
                                    Trade.update_exit(
                                        trade_id=trade_id,
                                        exit_price=current_price,
                                        exit_reason=exit_reason,
                                        pnl=total_pnl_amount,
                                        pnl_percent=total_pnl_percent,
                                        strategy_type=strategy_type,
                                        duration_minutes=duration_minutes
                                    )
                                except Exception as e:
                                    logger.warning(f"更新止盈记录失败: {e}")
                        if await self.close_position(symbol, reason=exit_reason):
                            closed_positions.append(symbol)
                        continue
                else:
                    # 如果未部分止盈，但达到止盈目标，直接全部平仓（基于保证金收益比）
                    # ✅ 已移除时间锁限制，可以立即执行
                    take_profit = position_info.get('takeProfit')
                    if take_profit is not None:
                        # 计算止盈对应的保证金百分比
                        if position_info['side'] == 'BUY':
                            take_profit_amount = (take_profit - entry_price) * quantity
                        else:  # SELL
                            take_profit_amount = (entry_price - take_profit) * quantity
                        take_profit_pct_margin = (take_profit_amount / margin * 100) if margin > 0 else 0
                        
                        # 直接比较当前盈亏百分比与止盈目标（基于保证金）
                        if pnl_percent_margin >= take_profit_pct_margin:
                            logger.info(
                                f"{symbol} 触发止盈（基于保证金）: "
                                f"当前盈亏={pnl_percent_margin:.2f}% of margin >= 目标={take_profit_pct_margin:.2f}% of margin | "
                                f"当前价={current_price:.4f}, 止盈价={take_profit:.4f}"
                            )
                            exit_reason = 'take_profit'
                            # 更新数据库
                            if DB_AVAILABLE:
                                trade_id = position_info.get('tradeId')
                                if trade_id:
                                    try:
                                        # 计算持仓持续时间和策略类型
                                        entry_time = position_info.get('entryTime')
                                        duration_minutes = None
                                        if entry_time:
                                            try:
                                                from datetime import datetime
                                                if isinstance(entry_time, str):
                                                    entry_dt = datetime.strptime(entry_time, '%Y-%m-%d %H:%M:%S')
                                                else:
                                                    entry_dt = entry_time
                                                exit_dt = get_beijing_time()  # 使用北京时间计算持续时间
                                                duration = exit_dt - entry_dt
                                                duration_minutes = int(duration.total_seconds() / 60)
                                            except Exception as e:
                                                logger.debug(f"计算持仓持续时间失败: {e}")
                                        
                                        strategy_type = position_info.get('strategyType', 'trend_following')
                                        
                                        Trade.update_exit(
                                            trade_id=trade_id,
                                            exit_price=current_price,
                                            exit_reason=exit_reason,
                                            pnl=pnl_amount,
                                            pnl_percent=pnl_percent_margin,
                                            strategy_type=strategy_type,
                                            duration_minutes=duration_minutes
                                        )
                                    except Exception as e:
                                        logger.warning(f"更新止盈记录失败: {e}")
                            if await self.close_position(symbol, reason=exit_reason):
                                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:
                    try:
                        trades = Trade.get_by_symbol(symbol, status='open')
                        if not trades:
                            logger.warning(f"{symbol} [状态同步] ⚠️ 数据库中没有找到open状态的交易记录，跳过")
                            continue
                        
                        logger.info(f"{symbol} [状态同步] 找到 {len(trades)} 条open状态的交易记录，开始更新...")
                    except Exception as get_trades_error:
                        logger.error(
                            f"{symbol} [状态同步] ❌ 获取交易记录失败: "
                            f"错误类型={type(get_trades_error).__name__}, 错误消息={str(get_trades_error)}"
                        )
                        import traceback
                        logger.debug(f"{symbol} [状态同步] 错误详情:\n{traceback.format_exc()}")
                        continue
                    
                    for trade in trades:
                        trade_id = trade.get('id')
                        if not trade_id:
                            logger.warning(f"{symbol} [状态同步] ⚠️ 交易记录缺少ID字段，跳过: {trade}")
                            continue
                        
                        try:
                            logger.info(
                                f"{symbol} [状态同步] 更新交易记录状态 (ID: {trade_id})... | "
                                f"入场价: {trade.get('entry_price', 'N/A')}, "
                                f"数量: {trade.get('quantity', 'N/A')}, "
                                f"方向: {trade.get('side', 'N/A')}"
                            )
                            
                            # 尝试从币安历史订单获取实际平仓价格
                            exit_price = None
                            close_orders = []
                            try:
                                # 获取最近的平仓订单（reduceOnly=True的订单）
                                import time
                                end_time = int(time.time() * 1000)  # 当前时间（毫秒）
                                start_time = end_time - (7 * 24 * 60 * 60 * 1000)  # 最近7天
                                
                                logger.debug(
                                    f"{symbol} [状态同步] 获取历史订单: "
                                    f"symbol={symbol}, startTime={start_time}, endTime={end_time}"
                                )
                                
                                # 获取历史订单
                                orders = await self.client.client.futures_get_all_orders(
                                    symbol=symbol,
                                    startTime=start_time,
                                    endTime=end_time
                                )
                                
                                # 验证 orders 的类型
                                if not isinstance(orders, list):
                                    logger.warning(
                                        f"{symbol} [状态同步] ⚠️ futures_get_all_orders 返回的不是列表: "
                                        f"类型={type(orders)}, 值={orders}"
                                    )
                                    orders = []  # 设置为空列表，避免后续错误
                                
                                if not orders:
                                    logger.debug(f"{symbol} [状态同步] 未找到历史订单")
                                else:
                                    logger.debug(f"{symbol} [状态同步] 找到 {len(orders)} 个历史订单")
                                
                                # 查找最近的平仓订单（reduceOnly=True且已成交）
                                close_orders = []
                                for o in orders:
                                    try:
                                        if isinstance(o, dict) and o.get('reduceOnly') == True and o.get('status') == 'FILLED':
                                            close_orders.append(o)
                                    except (AttributeError, TypeError) as e:
                                        logger.warning(
                                            f"{symbol} [状态同步] ⚠️ 处理订单数据时出错: "
                                            f"错误类型={type(e).__name__}, 错误消息={str(e)}, "
                                            f"订单数据类型={type(o)}, 订单数据={o}"
                                        )
                                        continue
                                
                                if close_orders:
                                    # 按时间倒序排序，取最近的
                                    close_orders.sort(key=lambda x: x.get('updateTime', 0), reverse=True)
                                    latest_order = close_orders[0]
                                    
                                    # 获取平均成交价格
                                    exit_price = float(latest_order.get('avgPrice', 0))
                                    if exit_price > 0:
                                        logger.info(f"{symbol} [状态同步] 从币安历史订单获取平仓价格: {exit_price:.4f} USDT")
                                    else:
                                        logger.warning(
                                            f"{symbol} [状态同步] 历史订单中没有有效的avgPrice: {latest_order}"
                                        )
                            except KeyError as key_error:
                                # KeyError 可能是访问 orders[symbol] 或其他字典访问错误
                                logger.error(
                                    f"{symbol} [状态同步] ❌ 获取历史订单时KeyError: "
                                    f"错误key={key_error}, 错误类型={type(key_error).__name__}"
                                )
                                import traceback
                                logger.debug(f"{symbol} [状态同步] KeyError详情:\n{traceback.format_exc()}")
                            except Exception as order_error:
                                logger.warning(
                                    f"{symbol} [状态同步] 获取历史订单失败: "
                                    f"错误类型={type(order_error).__name__}, 错误消息={str(order_error)}"
                                )
                                import traceback
                                logger.debug(f"{symbol} [状态同步] 错误详情:\n{traceback.format_exc()}")
                            
                            # 如果无法从订单获取，使用当前价格
                            if not exit_price or exit_price <= 0:
                                try:
                                    ticker = await self.client.get_ticker_24h(symbol)
                                    if ticker and ticker.get('price'):
                                        exit_price = float(ticker['price'])
                                        logger.warning(f"{symbol} [状态同步] 使用当前价格作为平仓价格: {exit_price:.4f} USDT")
                                    else:
                                        exit_price = float(trade.get('entry_price', 0))
                                        logger.warning(
                                            f"{symbol} [状态同步] 无法获取当前价格（ticker={ticker}），"
                                            f"使用入场价: {exit_price:.4f} USDT"
                                        )
                                except KeyError as key_error:
                                    # KeyError 可能是访问 ticker['price'] 时出错
                                    logger.error(
                                        f"{symbol} [状态同步] ❌ 获取当前价格时KeyError: {key_error}, "
                                        f"ticker数据: {ticker if 'ticker' in locals() else 'N/A'}"
                                    )
                                    exit_price = float(trade.get('entry_price', 0))
                                    if exit_price <= 0:
                                        logger.error(f"{symbol} [状态同步] ❌ 无法获取有效的平仓价格，跳过更新")
                                        continue
                                except Exception as ticker_error:
                                    logger.warning(
                                        f"{symbol} [状态同步] 获取当前价格失败: "
                                        f"错误类型={type(ticker_error).__name__}, 错误消息={str(ticker_error)}，"
                                        f"使用入场价: {trade.get('entry_price', 'N/A')}"
                                    )
                                    exit_price = float(trade.get('entry_price', 0))
                                    if exit_price <= 0:
                                        logger.error(f"{symbol} [状态同步] ❌ 无法获取有效的平仓价格，跳过更新")
                                        continue
                            
                            # 计算盈亏（确保所有值都是float类型，避免Decimal类型问题）
                            try:
                                entry_price = float(trade.get('entry_price', 0))
                                quantity = float(trade.get('quantity', 0))
                                
                                if entry_price <= 0 or quantity <= 0:
                                    logger.error(
                                        f"{symbol} [状态同步] ❌ 交易记录数据无效: "
                                        f"入场价={entry_price}, 数量={quantity}, 跳过更新"
                                    )
                                    continue
                                
                                if trade.get('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
                                
                                logger.debug(
                                    f"{symbol} [状态同步] 盈亏计算: "
                                    f"入场价={entry_price:.4f}, 平仓价={exit_price:.4f}, "
                                    f"数量={quantity:.4f}, 方向={trade.get('side', 'N/A')}, "
                                    f"盈亏={pnl:.2f} USDT ({pnl_percent:.2f}%)"
                                )
                            except (ValueError, TypeError, KeyError) as calc_error:
                                logger.error(
                                    f"{symbol} [状态同步] ❌ 计算盈亏失败 (ID: {trade_id}): "
                                    f"错误类型={type(calc_error).__name__}, 错误消息={str(calc_error)}, "
                                    f"交易记录数据: entry_price={trade.get('entry_price', 'N/A')}, "
                                    f"quantity={trade.get('quantity', 'N/A')}, side={trade.get('side', 'N/A')}"
                                )
                                continue
                            
                            # 从历史订单中获取平仓订单号
                            exit_order_id = None
                            latest_close_order = None
                            if close_orders:
                                exit_order_id = close_orders[0].get('orderId')
                                latest_close_order = close_orders[0]
                                if exit_order_id:
                                    logger.info(f"{symbol} [状态同步] 找到平仓订单号: {exit_order_id}")
                            
                            # 使用 try-except 包裹，确保异常被正确处理
                            try:
                                # 计算持仓持续时间和策略类型
                                # exit_reason 细分：优先看币安平仓订单类型，其次用价格接近止损/止盈价做兜底
                                exit_reason = "sync"
                                exit_time_ts = None
                                try:
                                    if latest_close_order and isinstance(latest_close_order, dict):
                                        otype = str(
                                            latest_close_order.get("type")
                                            or latest_close_order.get("origType")
                                            or ""
                                        ).upper()
                                        # 检查订单的 reduceOnly 字段：如果是 true，说明是自动平仓，不应该标记为 manual
                                        is_reduce_only = latest_close_order.get("reduceOnly", False)
                                        
                                        if "TRAILING" in otype:
                                            exit_reason = "trailing_stop"
                                        elif "TAKE_PROFIT" in otype:
                                            exit_reason = "take_profit"
                                        elif "STOP" in otype:
                                            # STOP / STOP_MARKET 通常对应止损触发
                                            exit_reason = "stop_loss"
                                        elif otype in ("MARKET", "LIMIT"):
                                            # 如果是 reduceOnly 订单，说明是自动平仓（可能是保护单触发的），先标记为 sync，后续用价格判断
                                            if is_reduce_only:
                                                exit_reason = "sync"  # 临时标记，后续用价格判断
                                            else:
                                                exit_reason = "manual"  # 非 reduceOnly 的 MARKET/LIMIT 订单才是真正的手动平仓

                                        ms = latest_close_order.get("updateTime") or latest_close_order.get("time")
                                        try:
                                            if ms:
                                                exit_time_ts = int(int(ms) / 1000)
                                        except Exception:
                                            exit_time_ts = None

                                except Exception:
                                    # 保持默认 sync
                                    pass

                                # 价格兜底：如果能明显命中止损/止盈价，则覆盖 exit_reason
                                # 这对于保护单触发的 MARKET 订单特别重要（币安的保护单触发后会生成 MARKET 订单）
                                try:
                                    def _close_to(a: float, b: float, max_pct: float = 0.02) -> bool:  # 放宽到2%，因为滑点可能导致价格不完全一致
                                        if a <= 0 or b <= 0:
                                            return False
                                        return abs((a - b) / b) <= max_pct

                                    ep = float(exit_price or 0)
                                    if ep > 0:
                                        sl = trade.get("stop_loss_price")
                                        tp = trade.get("take_profit_price")
                                        tp1 = trade.get("take_profit_1")
                                        tp2 = trade.get("take_profit_2")
                                        # 优先检查止损（因为止损更关键）
                                        if sl is not None and _close_to(ep, float(sl), max_pct=0.02):
                                            exit_reason = "stop_loss"
                                        # 然后检查止盈
                                        elif tp is not None and _close_to(ep, float(tp), max_pct=0.02):
                                            exit_reason = "take_profit"
                                        elif tp1 is not None and _close_to(ep, float(tp1), max_pct=0.02):
                                            exit_reason = "take_profit"
                                        elif tp2 is not None and _close_to(ep, float(tp2), max_pct=0.02):
                                            exit_reason = "take_profit"
                                        # 如果之前标记为 sync 且是 reduceOnly 订单，但价格不匹配止损/止盈，可能是其他自动平仓（如移动止损）
                                        elif exit_reason == "sync" and is_reduce_only:
                                            # 检查是否是移动止损：如果价格接近入场价，可能是移动止损触发的
                                            entry_price_val = float(trade.get("entry_price", 0) or 0)
                                            if entry_price_val > 0 and _close_to(ep, entry_price_val, max_pct=0.01):
                                                exit_reason = "trailing_stop"
                                except Exception:
                                    pass

                                # 持仓持续时间（分钟）：优先用币安订单时间，否则用当前时间
                                entry_time = trade.get("entry_time")
                                duration_minutes = None
                                try:
                                    et = None
                                    if isinstance(entry_time, (int, float)):
                                        et = int(entry_time)
                                    elif isinstance(entry_time, str) and entry_time.strip():
                                        # 兼容旧格式：字符串时间戳/日期字符串
                                        s = entry_time.strip()
                                        if s.isdigit():
                                            et = int(s)
                                        else:
                                            from datetime import datetime
                                            et = int(datetime.fromisoformat(s).timestamp())

                                    xt = int(exit_time_ts) if exit_time_ts is not None else int(get_beijing_time())
                                    if et is not None and xt >= et:
                                        duration_minutes = int((xt - et) / 60)
                                except Exception as e:
                                    logger.debug(f"计算持仓持续时间失败: {e}")

                                strategy_type = 'trend_following'  # 默认策略类型
                                
                                Trade.update_exit(
                                    trade_id=trade_id,
                                    exit_price=exit_price,
                                    exit_reason=exit_reason,
                                    pnl=pnl,
                                    pnl_percent=pnl_percent,
                                    exit_order_id=exit_order_id,  # 保存币安平仓订单号
                                    strategy_type=strategy_type,
                                    duration_minutes=duration_minutes,
                                    exit_time_ts=exit_time_ts,
                                )
                            except Exception as update_error:
                                # update_exit 内部已经有异常处理，但如果仍然失败，记录错误但不中断同步流程
                                error_str = str(update_error)
                                if "Duplicate entry" in error_str and "exit_order_id" in error_str:
                                    logger.warning(
                                        f"{symbol} [状态同步] ⚠️ exit_order_id {exit_order_id} 唯一约束冲突，"
                                        f"update_exit 内部处理失败，尝试不更新 exit_order_id"
                                    )
                                    # 再次尝试，不更新 exit_order_id
                                    try:
                                        from database.connection import db
                                        from database.models import get_beijing_time
                                        exit_time = int(exit_time_ts) if exit_time_ts is not None else get_beijing_time()
                                        db.execute_update(
                                            """UPDATE trades 
                                               SET exit_price = %s, exit_time = %s, 
                                                   exit_reason = %s, pnl = %s, pnl_percent = %s, status = 'closed'
                                               WHERE id = %s""",
                                            (exit_price, exit_time, exit_reason, pnl, pnl_percent, trade_id)
                                        )
                                        logger.info(f"{symbol} [状态同步] ✓ 已更新（跳过 exit_order_id）")
                                    except Exception as retry_error:
                                        logger.error(f"{symbol} [状态同步] ❌ 重试更新也失败: {retry_error}")
                                        raise
                                else:
                                    # 其他错误，重新抛出
                                    raise
                            
                            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:
                            # 详细记录错误信息，包括异常类型、错误消息和堆栈跟踪
                            import traceback
                            error_type = type(e).__name__
                            error_msg = str(e)
                            error_traceback = traceback.format_exc()
                            
                            logger.error(
                                f"{symbol} [状态同步] ❌ 更新失败 (ID: {trade_id}): "
                                f"错误类型={error_type}, 错误消息={error_msg}"
                            )
                            logger.debug(
                                f"{symbol} [状态同步] 错误详情:\n{error_traceback}"
                            )
                            
                            # 如果是数据库相关错误，记录更多信息
                            if "Duplicate entry" in error_msg or "1062" in error_msg:
                                logger.error(
                                    f"{symbol} [状态同步] 数据库唯一约束冲突，"
                                    f"可能原因: exit_order_id={exit_order_id} 已被其他交易记录使用"
                                )
                            elif "database" in error_msg.lower() or "connection" in error_msg.lower():
                                logger.error(
                                    f"{symbol} [状态同步] 数据库连接或执行错误，"
                                    f"请检查数据库连接状态"
                                )
            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
                            # 手动开仓无法拿到策略侧ATR/分步止盈，这里尽量补齐“规模字段”
                            notional_usdt=(float(entry_price) * float(quantity)) if entry_price and quantity else None,
                            margin_usdt=((float(entry_price) * float(quantity)) / float(binance_position.get('leverage', 10))) if entry_price and quantity and float(binance_position.get('leverage', 10) or 0) > 0 else None,
                        )
                        
                        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（基于保证金）
                        leverage = binance_position.get('leverage', 10)
                        stop_loss_pct_margin = config.TRADING_CONFIG.get('STOP_LOSS_PERCENT', 0.08)
                        take_profit_pct_margin = config.TRADING_CONFIG.get('TAKE_PROFIT_PERCENT', 0.15)
                        # 如果配置中没有设置止盈，则使用止损的2倍作为默认
                        if take_profit_pct_margin is None or take_profit_pct_margin == 0:
                            take_profit_pct_margin = stop_loss_pct_margin * 2.0
                        
                        stop_loss_price = self.risk_manager.get_stop_loss_price(
                            entry_price, side, quantity, leverage,
                            stop_loss_pct=stop_loss_pct_margin
                        )
                        take_profit_price = self.risk_manager.get_take_profit_price(
                            entry_price, side, quantity, leverage,
                            take_profit_pct=take_profit_pct_margin
                        )
                        
                        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': leverage,
                            '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
                        
                        # 计算止损止盈（基于保证金）
                        leverage = position.get('leverage', 10)
                        stop_loss_pct_margin = config.TRADING_CONFIG.get('STOP_LOSS_PERCENT', 0.08)
                        take_profit_pct_margin = config.TRADING_CONFIG.get('TAKE_PROFIT_PERCENT', 0.15)
                        # 如果配置中没有设置止盈，则使用止损的2倍作为默认
                        if take_profit_pct_margin is None or take_profit_pct_margin == 0:
                            take_profit_pct_margin = stop_loss_pct_margin * 2.0
                        
                        stop_loss_price = self.risk_manager.get_stop_loss_price(
                            entry_price, side, quantity, leverage,
                            stop_loss_pct=stop_loss_pct_margin
                        )
                        take_profit_price = self.risk_manager.get_take_profit_price(
                            entry_price, side, quantity, leverage,
                            take_profit_pct=take_profit_pct_margin
                        )
                        
                        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': leverage,
                            '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")
                        # 也为“现有持仓”补挂交易所保护单（重启/掉线更安全）
                        try:
                            mp = None
                            try:
                                mp = float(position.get("markPrice", 0) or 0) or None
                            except Exception:
                                mp = None
                            await self._ensure_exchange_sltp_orders(symbol, position_info, current_price=mp or current_price)
                        except Exception as e:
                            logger.warning(f"{symbol} 补挂币安止盈止损失败（不影响监控）: {e}")
                    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
        """
        # 幂等：可能会被多处/并发调用，先 pop 再处理，避免 KeyError
        task = self._monitor_tasks.pop(symbol, None)
        if task is None:
            return

        if not task.done():
            task.cancel()
            try:
                await task
            except asyncio.CancelledError:
                pass
        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/<symbol>@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（基于保证金）
        leverage = position_info.get('leverage', 10)
        position_value = entry_price * quantity
        margin = position_value / leverage if leverage > 0 else position_value
        
        # 计算盈亏金额
        if position_info['side'] == 'BUY':
            pnl_amount = (current_price_float - entry_price) * quantity
        else:  # SELL
            pnl_amount = (entry_price - current_price_float) * quantity
        
        # 计算盈亏百分比（相对于保证金，与币安一致）
        pnl_percent_margin = (pnl_amount / margin * 100) if margin > 0 else 0
        
        # 也计算价格百分比（用于显示）
        if position_info['side'] == 'BUY':
            pnl_percent_price = ((current_price_float - entry_price) / entry_price) * 100
        else:  # SELL
            pnl_percent_price = ((entry_price - current_price_float) / entry_price) * 100
        
        # 更新最大盈利（基于保证金）
        if pnl_percent_margin > position_info.get('maxProfit', 0):
            position_info['maxProfit'] = pnl_percent_margin
        
        # 移动止损逻辑（盈利后保护利润，基于保证金）
        # 每次检查时从Redis重新加载配置，确保配置修改能即时生效
        try:
            if config._config_manager:
                config._config_manager.reload_from_redis()
                config.TRADING_CONFIG = config._get_trading_config()
        except Exception as e:
            logger.debug(f"从Redis重新加载配置失败: {e}")
        
        # ⚠️ 优化：已完全移除时间锁限制
        # 理由：1) 止损和止盈都应该立即执行，不受时间限制
        #       2) 交易所级别的止损/止盈单已提供保护
        #       3) 分步止盈策略本身已提供利润保护
        #       4) 及时执行止损/止盈可以保护资金和利润
        # 注意：如果需要防止秒级平仓，可以通过提高入场信号质量（MIN_SIGNAL_STRENGTH）来实现
        
        # 检查是否启用移动止损（默认False，需要显式启用）
        use_trailing = config.TRADING_CONFIG.get('USE_TRAILING_STOP', False)
        if use_trailing:
            logger.debug(f"{symbol} [实时监控-移动止损] 已启用，将检查移动止损逻辑")
        else:
            logger.debug(f"{symbol} [实时监控-移动止损] 已禁用（USE_TRAILING_STOP=False），跳过移动止损检查")
        if use_trailing:
            trailing_activation = config.TRADING_CONFIG.get('TRAILING_STOP_ACTIVATION', 0.01)  # 相对于保证金
            trailing_protect = config.TRADING_CONFIG.get('TRAILING_STOP_PROTECT', 0.01)  # 相对于保证金
            
            if not position_info.get('trailingStopActivated', False):
                # 盈利超过阈值后（相对于保证金），激活移动止损
                if pnl_percent_margin > 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_margin:.2f}% of margin)"
                    )
            else:
                # 盈利超过阈值后，止损移至保护利润位（基于保证金）
                # 计算需要保护的利润金额
                protect_amount = margin * trailing_protect
                # 计算对应的止损价
                if position_info['side'] == 'BUY':
                    # 保护利润：当前盈亏 - 保护金额 = (止损价 - 开仓价) × 数量
                    # 所以：止损价 = 开仓价 + (当前盈亏 - 保护金额) / 数量
                    new_stop_loss = entry_price + (pnl_amount - protect_amount) / quantity
                    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}% of margin = {protect_amount:.4f} USDT)"
                        )
                else:  # SELL
                    # 做空：止损价 = 开仓价 + (当前盈亏 - 保护金额) / 数量
                    # 注意：对于做空，止损价应该高于开仓价，所以用加法
                    # 当盈利时（pnl_amount > 0），止损价应该往上移（更宽松）
                    # 当亏损时（pnl_amount < 0），不应该移动止损（保持初始止损）
                    new_stop_loss = entry_price + (pnl_amount - protect_amount) / quantity
                    # 对于做空，止损价应该越来越高（更宽松），所以检查 new_stop_loss > 当前止损
                    # 同时，移动止损只应该在盈利时激活，不应该在亏损时把止损往下移
                    if new_stop_loss > position_info['stopLoss'] and pnl_amount > 0:
                        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}% of margin = {protect_amount:.4f} USDT)"
                        )
        
        # 检查止损（基于保证金收益比）
        # ⚠️ 重要：止损检查应该在时间锁之前，止损必须立即执行
        stop_loss = position_info.get('stopLoss')
        should_close_due_to_sl = False
        exit_reason_sl = None
        
        if stop_loss is not None:
            # 计算止损对应的保证金百分比目标
            # 止损金额 = (开仓价 - 止损价) × 数量 或 (止损价 - 开仓价) × 数量
            if position_info['side'] == 'BUY':
                stop_loss_amount = (entry_price - stop_loss) * quantity
            else:  # SELL
                stop_loss_amount = (stop_loss - entry_price) * quantity
            
            stop_loss_pct_margin = (stop_loss_amount / margin * 100) if margin > 0 else 0
            
            # 每5%亏损记录一次诊断日志（帮助排查问题）
            if pnl_percent_margin <= -5.0:
                should_log = (int(abs(pnl_percent_margin)) % 5 == 0) or (pnl_percent_margin <= -10.0 and pnl_percent_margin > -10.5)
                if should_log:
                    trigger_condition = pnl_percent_margin <= -stop_loss_pct_margin
                    logger.warning(
                        f"{symbol} [实时监控] 诊断: 亏损{pnl_percent_margin:.2f}% of margin | "
                        f"当前价: {current_price_float:.4f} | "
                        f"入场价: {entry_price:.4f} | "
                        f"止损价: {stop_loss:.4f} (目标: -{stop_loss_pct_margin:.2f}% of margin) | "
                        f"方向: {position_info['side']} | "
                        f"是否触发: {trigger_condition} | "
                        f"监控状态: {'运行中' if symbol in self._monitor_tasks else '未启动'}"
                    )
            
            # 直接比较当前盈亏百分比与止损目标（基于保证金）
            if pnl_percent_margin <= -stop_loss_pct_margin:
                should_close_due_to_sl = True
                exit_reason_sl = 'trailing_stop' if position_info.get('trailingStopActivated') else 'stop_loss'
                
                # 计算持仓时间
                entry_time = position_info.get('entryTime')
                hold_time_minutes = 0
                if entry_time:
                    try:
                        if isinstance(entry_time, datetime):
                            hold_time_sec = int((get_beijing_time() - entry_time).total_seconds())
                        else:
                            hold_time_sec = int(time.time() - (float(entry_time) if isinstance(entry_time, (int, float)) else 0))
                        hold_time_minutes = hold_time_sec / 60.0
                    except Exception:
                        hold_time_minutes = 0
                
                # 详细诊断日志：记录平仓时的所有关键信息
                logger.warning("=" * 80)
                logger.warning(f"{symbol} [实时监控-平仓诊断日志] ===== 触发止损平仓 =====")
                logger.warning(f"  平仓原因: {exit_reason_sl}")
                logger.warning(f"  入场价格: {entry_price:.6f} USDT")
                logger.warning(f"  当前价格: {current_price_float:.6f} USDT")
                logger.warning(f"  止损价格: {stop_loss:.4f} USDT")
                logger.warning(f"  持仓数量: {quantity:.4f}")
                logger.warning(f"  持仓时间: {hold_time_minutes:.1f} 分钟")
                logger.warning(f"  入场时间: {entry_time}")
                logger.warning(f"  当前盈亏: {pnl_percent_margin:.2f}% of margin")
                logger.warning(f"  止损目标: -{stop_loss_pct_margin:.2f}% of margin")
                logger.warning(f"  亏损金额: {abs(pnl_amount):.4f} USDT")
                if position_info.get('trailingStopActivated'):
                    logger.warning(f"  移动止损: 已激活（从初始止损 {position_info.get('initialStopLoss', 'N/A')} 调整）")
                logger.warning("=" * 80)
                
                # ⚠️ 关键修复：止损必须立即执行，不受时间锁限制
                if await self.close_position(symbol, reason=exit_reason_sl):
                    logger.info(f"{symbol} [实时监控] 止损平仓成功（不受时间锁限制）")
                return  # 止损已执行，跳过后续止盈检查
        
        # 检查分步止盈（实时监控）
        # ⚠️ 优化：已移除止盈时间锁，止盈可以立即执行（与止损一致）
        # 理由：1) 止损已不受时间锁限制，止盈也应该一致
        #       2) 分步止盈策略本身已提供利润保护（50%在1:1止盈，剩余保本）
        #       3) 交易所级别止盈单已提供保护
        #       4) 及时止盈可以保护利润，避免价格回落
        should_close = False
            take_profit_1 = position_info.get('takeProfit1')  # 第一目标（盈亏比1:1）
            take_profit_2 = position_info.get('takeProfit2', position_info.get('takeProfit'))  # 第二目标（1.5:1）
            partial_profit_taken = position_info.get('partialProfitTaken', False)
            remaining_quantity = position_info.get('remainingQuantity', quantity)
            
            # 第一目标：盈亏比1:1，了结50%仓位
            if not partial_profit_taken and take_profit_1 is not None:
                # 计算第一目标对应的保证金百分比
                if position_info['side'] == 'BUY':
                    take_profit_1_amount = (take_profit_1 - entry_price) * quantity
                else:  # SELL
                    take_profit_1_amount = (entry_price - take_profit_1) * quantity
                take_profit_1_pct_margin = (take_profit_1_amount / margin * 100) if margin > 0 else 0
                
                # 直接比较当前盈亏百分比与第一目标（基于保证金）
                if pnl_percent_margin >= take_profit_1_pct_margin:
                    logger.info(
                        f"{symbol} [实时监控] 触发第一目标止盈（盈亏比1:1，基于保证金）: "
                        f"当前盈亏={pnl_percent_margin:.2f}% of margin >= 目标={take_profit_1_pct_margin:.2f}% of margin | "
                        f"当前价={current_price_float:.4f}, 目标价={take_profit_1:.4f}"
                    )
                    # 部分平仓50%
                    partial_quantity = quantity * 0.5
                    try:
                        close_side = 'SELL' if position_info['side'] == 'BUY' else 'BUY'
                        close_position_side = 'LONG' if position_info['side'] == 'BUY' else 'SHORT'
                        live_amt = await self._get_live_position_amt(symbol, position_side=close_position_side)
                        if live_amt is None or abs(live_amt) <= 0:
                            logger.warning(f"{symbol} [实时监控] 部分止盈：实时持仓已为0，跳过部分平仓")
                        else:
                            partial_quantity = min(partial_quantity, abs(live_amt))
                            partial_quantity = await self._adjust_close_quantity(symbol, partial_quantity)
                            if partial_quantity > 0:
                                partial_order = await self.client.place_order(
                                    symbol=symbol,
                                    side=close_side,
                                    quantity=partial_quantity,
                                    order_type='MARKET',
                                    reduce_only=True,
                                    position_side=close_position_side,
                                )
                                if partial_order:
                                    position_info['partialProfitTaken'] = True
                                    position_info['remainingQuantity'] = remaining_quantity - partial_quantity
                                    logger.info(
                                        f"{symbol} [实时监控] 部分止盈成功: 平仓{partial_quantity:.4f}，剩余{position_info['remainingQuantity']:.4f}"
                                    )
                                    # 分步止盈后的"保本"处理：将剩余仓位止损移至成本价（保本）
                                    position_info['stopLoss'] = entry_price
                                    logger.info(
                                        f"{symbol} [实时监控] 部分止盈后：剩余仓位止损移至成本价 {entry_price:.4f}（保本），"
                                        f"剩余50%仓位追求1.5:1止盈目标"
                                    )
                    except Exception as e:
                        logger.error(f"{symbol} [实时监控] 部分止盈失败: {e}")
            
            # 第二目标：1.5:1止盈，平掉剩余仓位
            if partial_profit_taken and take_profit_2 is not None and not should_close:
                # 计算第二目标对应的保证金百分比（基于剩余仓位）
                if position_info['side'] == 'BUY':
                    take_profit_2_amount = (take_profit_2 - entry_price) * remaining_quantity
                else:  # SELL
                    take_profit_2_amount = (entry_price - take_profit_2) * remaining_quantity
                remaining_margin = (entry_price * remaining_quantity) / leverage if leverage > 0 else (entry_price * remaining_quantity)
                take_profit_2_pct_margin = (take_profit_2_amount / remaining_margin * 100) if remaining_margin > 0 else 0
                # 计算剩余仓位的当前盈亏
                if position_info['side'] == 'BUY':
                    remaining_pnl_amount = (current_price_float - entry_price) * remaining_quantity
                else:
                    remaining_pnl_amount = (entry_price - current_price_float) * remaining_quantity
                remaining_pnl_pct_margin = (remaining_pnl_amount / remaining_margin * 100) if remaining_margin > 0 else 0
                
                # 直接比较剩余仓位盈亏百分比与第二目标（基于保证金）
                if remaining_pnl_pct_margin >= take_profit_2_pct_margin:
                    should_close = True
                    exit_reason = 'take_profit'
                    logger.info(
                        f"{symbol} [实时监控] 触发第二目标止盈（1.5:1，基于保证金）: "
                        f"剩余仓位盈亏={remaining_pnl_pct_margin:.2f}% of margin >= 目标={take_profit_2_pct_margin:.2f}% of margin | "
                        f"当前价={current_price_float:.4f}, 目标价={take_profit_2:.4f}, "
                        f"剩余数量={remaining_quantity:.4f}"
                    )
        
        # 检查止盈（基于保证金收益比）- 用于未启用分步止盈的情况
        if not should_close:
            take_profit = position_info.get('takeProfit')
            if take_profit is not None:
                # 计算止盈对应的保证金百分比目标
                # 止盈金额 = (止盈价 - 开仓价) × 数量 或 (开仓价 - 止盈价) × 数量
                if position_info['side'] == 'BUY':
                    take_profit_amount = (take_profit - entry_price) * quantity
                else:  # SELL
                    take_profit_amount = (entry_price - take_profit) * quantity
                
                take_profit_pct_margin = (take_profit_amount / margin * 100) if margin > 0 else 0
                
                # 每5%盈利记录一次诊断日志（帮助排查问题）
                if pnl_percent_margin >= 5.0:
                    should_log = (int(pnl_percent_margin) % 5 == 0) or (pnl_percent_margin >= 10.0 and pnl_percent_margin < 10.5)
                    if should_log:
                        trigger_condition = pnl_percent_margin >= take_profit_pct_margin
                        logger.warning(
                            f"{symbol} [实时监控] 诊断: 盈利{pnl_percent_margin:.2f}% of margin | "
                            f"当前价: {current_price_float:.4f} | "
                            f"入场价: {entry_price:.4f} | "
                            f"止盈价: {take_profit:.4f} (目标: {take_profit_pct_margin:.2f}% of margin) | "
                            f"方向: {position_info['side']} | "
                            f"是否触发: {trigger_condition} | "
                            f"监控状态: {'运行中' if symbol in self._monitor_tasks else '未启动'}"
                        )
                
                # 直接比较当前盈亏百分比与止盈目标（基于保证金）
                if pnl_percent_margin >= take_profit_pct_margin:
                    should_close = True
                    exit_reason = 'take_profit'
                    
                    # 详细诊断日志：记录平仓时的所有关键信息
                    logger.info("=" * 80)
                    logger.info(f"{symbol} [实时监控-平仓诊断日志] ===== 触发止盈平仓 =====")
                    logger.info(f"  平仓原因: {exit_reason}")
                    logger.info(f"  入场价格: {entry_price:.6f} USDT")
                    logger.info(f"  当前价格: {current_price_float:.6f} USDT")
                    logger.info(f"  止盈价格: {take_profit:.4f} USDT")
                    logger.info(f"  持仓数量: {quantity:.4f}")
                    logger.info(f"  持仓时间: {hold_time_minutes:.1f} 分钟")
                    logger.info(f"  入场时间: {entry_time}")
                    logger.info(f"  当前盈亏: {pnl_percent_margin:.2f}% of margin")
                    logger.info(f"  止盈目标: {take_profit_pct_margin:.2f}% of margin")
                    logger.info(f"  盈利金额: {pnl_amount:.4f} USDT")
                    logger.info("=" * 80)
        
        # 如果触发止损止盈，执行平仓
        if should_close:
            # 自动平仓限流：避免同一 symbol 短时间内反复触发平仓请求（WebSocket 高频推送下很常见）
            try:
                now_ms = int(time.time() * 1000)
            except Exception:
                now_ms = None
            if now_ms is not None:
                cooldown_sec = int(config.TRADING_CONFIG.get("AUTO_CLOSE_COOLDOWN_SEC", 20) or 0)
                last_ms = self._last_auto_close_attempt_ms.get(symbol)
                if last_ms and cooldown_sec > 0 and now_ms - last_ms < cooldown_sec * 1000:
                    # 不重复刷屏：仅 debug
                    logger.debug(f"{symbol} [自动平仓] 冷却中（{cooldown_sec}s），跳过重复平仓尝试")
                    return
                self._last_auto_close_attempt_ms[symbol] = now_ms

            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_float:.4f} | "
                f"盈亏: {pnl_percent_margin:.2f}% of margin ({pnl_amount:.4f} USDT) | "
                f"数量: {quantity:.4f}"
            )
            
            # 执行平仓（让 close_position 统一处理数据库更新，避免重复更新和状态不一致）
            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")
                # 平仓成功后，立即触发一次状态同步，确保数据库状态与币安一致
                try:
                    await asyncio.sleep(2)  # 等待2秒让币安订单完全成交
                    await self.sync_positions_with_binance()
                    logger.debug(f"{symbol} [自动平仓] 已触发状态同步")
                except Exception as sync_error:
                    logger.warning(f"{symbol} [自动平仓] 状态同步失败: {sync_error}")
            else:
                # 平仓失败：先二次核对币安是否已无仓位（常见于竞态/网络抖动/幂等场景）
                live_amt = None
                try:
                    live_amt = await self._get_live_position_amt(symbol, position_side=None)
                except Exception:
                    live_amt = None

                if live_amt is not None and abs(live_amt) <= 0:
                    logger.warning(f"{symbol} [自动平仓] 平仓返回失败，但币安持仓已为0，按已平仓处理（避免误报）")
                    # 尝试同步一次，让DB与界面尽快一致（失败也不刷屏）
                    try:
                        await self.sync_positions_with_binance()
                    except Exception:
                        pass
                    return

                # 仍有仓位：减少刷屏（按时间窗口合并/限流）
                should_log = True
                if now_ms is not None:
                    log_cd = int(config.TRADING_CONFIG.get("AUTO_CLOSE_FAIL_LOG_COOLDOWN_SEC", 600) or 0)
                    last_log = self._last_auto_close_fail_log_ms.get(symbol)
                    if last_log and log_cd > 0 and now_ms - last_log < log_cd * 1000:
                        should_log = False
                    else:
                        self._last_auto_close_fail_log_ms[symbol] = now_ms

                if should_log:
                    logger.error(f"{symbol} [自动平仓] ❌ 平仓失败（币安持仓仍存在: {live_amt}）")
                else:
                    logger.warning(f"{symbol} [自动平仓] 平仓仍失败（已在短时间内记录，暂不重复输出）")

                # 即使平仓失败，也尝试同步状态（可能币安已经平仓了）
                try:
                    await self.sync_positions_with_binance()
                except Exception as sync_error:
                    logger.warning(f"{symbol} [自动平仓] 状态同步失败: {sync_error}")
    
    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()}")