diff --git a/backend/app/crypto_agent/crypto_agent.py b/backend/app/crypto_agent/crypto_agent.py
index 42fef15..2cea9bc 100644
--- a/backend/app/crypto_agent/crypto_agent.py
+++ b/backend/app/crypto_agent/crypto_agent.py
@@ -295,6 +295,10 @@ class CryptoAgent:
                 logger.info(f"   支撑位: {support_str or '-'}")
                 logger.info(f"   阻力位: {resistance_str or '-'}")
 
+            # 2.5. 回顾并调整现有持仓（LLM 主动管理）
+            if self.paper_trading_enabled and self.paper_trading:
+                await self._review_and_adjust_positions(symbol, data)
+
             # 3. 处理信号
             signals = result.get('signals', [])
 
@@ -449,6 +453,156 @@ class CryptoAgent:
 
         return True
 
+    async def _review_and_adjust_positions(
+        self,
+        symbol: str,
+        data: Dict[str, pd.DataFrame]
+    ):
+        """
+        回顾并调整现有持仓（LLM 主动管理）
+
+        每次分析后自动回顾该交易对的所有持仓，让 LLM 决定是否需要：
+        - 调整止损止盈
+        - 部分平仓
+        - 全部平仓
+        """
+        try:
+            # 获取该交易对的所有活跃持仓（只看已成交的）
+            active_orders = self.paper_trading.get_active_orders()
+            positions = [
+                order for order in active_orders
+                if order.get('symbol') == symbol
+                and order.get('status') == 'open'
+                and order.get('filled_price')  # 只处理已成交的订单
+            ]
+
+            if not positions:
+                return  # 没有持仓需要回顾
+
+            logger.info(f"\n🔄 【LLM 回顾持仓中...】共 {len(positions)} 个持仓")
+
+            # 准备持仓数据
+            position_data = []
+            for order in positions:
+                entry_price = order.get('filled_price') or order.get('entry_price', 0)
+                current_price = self.binance.get_ticker(symbol).get('lastPrice', entry_price)
+                if isinstance(current_price, str):
+                    current_price = float(current_price)
+
+                # 计算盈亏百分比
+                side = order.get('side')
+                if side == 'long':
+                    pnl_percent = ((current_price - entry_price) / entry_price) * 100
+                else:
+                    pnl_percent = ((entry_price - current_price) / entry_price) * 100
+
+                position_data.append({
+                    'order_id': order.get('order_id'),
+                    'side': side,
+                    'entry_price': entry_price,
+                    'current_price': current_price,
+                    'stop_loss': order.get('stop_loss', 0),
+                    'take_profit': order.get('take_profit', 0),
+                    'quantity': order.get('quantity', 0),
+                    'pnl_percent': pnl_percent,
+                    'open_time': order.get('open_time')
+                })
+
+            # 调用 LLM 回顾分析
+            decisions = await self.llm_analyzer.review_positions(symbol, position_data, data)
+
+            if not decisions:
+                logger.info("   LLM 建议保持所有持仓不变")
+                return
+
+            # 执行 LLM 的调整建议
+            logger.info(f"\n📝 【LLM 调整建议】共 {len(decisions)} 个")
+
+            for decision in decisions:
+                order_id = decision.get('order_id')
+                action = decision.get('action')
+                reason = decision.get('reason', '')
+
+                action_map = {
+                    'HOLD': '保持',
+                    'ADJUST_SL_TP': '调整止损止盈',
+                    'PARTIAL_CLOSE': '部分平仓',
+                    'FULL_CLOSE': '全部平仓'
+                }
+                action_text = action_map.get(action, action)
+
+                logger.info(f"   订单 {order_id[:8]}: {action_text} - {reason}")
+
+                # 执行调整
+                result = self.paper_trading.adjust_position_by_llm(
+                    order_id=order_id,
+                    action=action,
+                    new_sl=decision.get('new_sl'),
+                    new_tp=decision.get('new_tp'),
+                    close_percent=decision.get('close_percent')
+                )
+
+                if result.get('success'):
+                    # 发送通知
+                    await self._notify_position_adjustment(symbol, order_id, decision, result)
+
+                    # 如果是平仓操作，从活跃订单中移除
+                    if action in ['PARTIAL_CLOSE', 'FULL_CLOSE']:
+                        closed_result = result.get('pnl', {})
+                        if closed_result:
+                            pnl = closed_result.get('pnl', 0)
+                            pnl_percent = closed_result.get('pnl_percent', 0)
+                            logger.info(f"   ✅ 已平仓: PnL ${pnl:+.2f} ({pnl_percent:+.1f}%)")
+                else:
+                    logger.warning(f"   ❌ 执行失败: {result.get('error')}")
+
+        except Exception as e:
+            logger.error(f"持仓回顾失败: {e}", exc_info=True)
+
+    async def _notify_position_adjustment(
+        self,
+        symbol: str,
+        order_id: str,
+        decision: Dict[str, Any],
+        result: Dict[str, Any]
+    ):
+        """发送持仓调整通知"""
+        action = decision.get('action')
+        reason = decision.get('reason', '')
+
+        action_map = {
+            'ADJUST_SL_TP': '🔄 调整止损止盈',
+            'PARTIAL_CLOSE': '📤 部分平仓',
+            'FULL_CLOSE': '🚪 全部平仓'
+        }
+        action_text = action_map.get(action, action)
+
+        message = f"""{action_text}
+
+交易对: {symbol}
+订单: {order_id[:8]}
+原因: {reason}"""
+
+        if action == 'ADJUST_SL_TP':
+            changes = result.get('changes', [])
+            message += f"\n调整内容: {', '.join(changes)}"
+
+        elif action in ['PARTIAL_CLOSE', 'FULL_CLOSE']:
+            pnl_info = result.get('pnl', {})
+            if pnl_info:
+                pnl = pnl_info.get('pnl', 0)
+                pnl_percent = pnl_info.get('pnl_percent', 0)
+                message += f"\n实现盈亏: ${pnl:+.2f} ({pnl_percent:+.1f}%)"
+
+            if action == 'PARTIAL_CLOSE':
+                close_percent = decision.get('close_percent', 0)
+                remaining = result.get('remaining_quantity', 0)
+                message += f"\n平仓比例: {close_percent:.0f}%"
+                message += f"\n剩余仓位: ${remaining:,.0f}"
+
+        await self.feishu.send_text(message)
+        await self.telegram.send_message(message)
+
     async def analyze_once(self, symbol: str) -> Dict[str, Any]:
         """单次分析（用于测试或手动触发）"""
         data = self.binance.get_multi_timeframe_data(symbol)
diff --git a/backend/app/crypto_agent/llm_signal_analyzer.py b/backend/app/crypto_agent/llm_signal_analyzer.py
index 2ce7681..826bb58 100644
--- a/backend/app/crypto_agent/llm_signal_analyzer.py
+++ b/backend/app/crypto_agent/llm_signal_analyzer.py
@@ -1180,3 +1180,242 @@ class LLMSignalAnalyzer:
             'content': '\n'.join(content_parts),
             'color': color
         }
+
+    # 持仓回顾分析的 System Prompt
+    POSITION_REVIEW_PROMPT = """你是一个专业的加密货币交易风险管理专家。你的任务是回顾现有持仓，根据最新市场行情决定是否需要调整。
+
+## 你的职责
+
+对于每个持仓，你需要分析：
+1. 当前持仓状态（盈亏、持仓时间、风险敞口）
+2. 最新市场行情（趋势、支撑阻力、技术指标）
+3. 原有交易逻辑是否依然有效
+4. 是否需要调整止损止盈
+5. 是否需要平仓（部分或全部）
+
+## 决策类型
+
+### 1. HOLD（保持）
+- 适用场景：行情符合预期，趋势延续
+- 操作：不改变任何设置
+
+### 2. ADJUST_SL_TP（调整止损止盈）
+- 适用场景：
+  - **盈利状态**：趋势强劲，可以收紧止损锁定更多利润
+  - **亏损状态**：支撑/阻力位变化，需要调整止损到更合理位置
+  - **目标接近**：原止盈目标接近，但趋势仍强，可上移止盈
+- 操作：更新 stop_loss 和/或 take_profit
+
+### 3. PARTIAL_CLOSE（部分平仓）
+- 适用场景：
+  - 盈利较大，但不确定性增加
+  - 重要阻力位附近，锁定部分利润
+  - 趋势有转弱迹象
+- 操作：平掉 close_percent 比例的仓位
+
+### 4. FULL_CLOSE（全部平仓）
+- 适用场景：
+  - **止损型**：趋势明确反转，止损信号出现
+  - **止盈型**：目标达成，或出现更好的机会
+  - **风险型**：重大利空/利好的不确定性
+- 操作：平掉全部仓位
+
+## 调整原则
+
+### 盈利状态（盈亏 > 0）
+1. **收紧止损**：如果盈利 > 2%，可以将止损移至保本或盈利 1% 位置
+2. **部分止盈**：如果盈利 > 5% 且接近重要阻力位，可平掉 30-50% 仓位
+3. **继续持有**：如果趋势强劲，可以放宽止损让利润奔跑
+
+### 亏损状态（盈亏 < 0）
+1. **提前止损**：如果出现明确的反转信号，不要等止损触发
+2. **调整止损**：如果关键支撑/阻力位变化，更新止损位置
+3. **继续持有**：如果只是正常波动，原交易逻辑未变，继续持有
+
+### 重要技术信号
+1. **趋势反转**：多周期共振转反、跌破/突破关键 MA
+2. **量价背离**：价格新高但成交量萎缩
+3. **MACD 背离**：价格新高/新低但 MACD 未确认
+4. **RSI 极端**：RSI > 75 或 < 25 后掉头
+
+## 输出格式
+
+对于每个持仓，输出 JSON：
+```json
+{
+  "order_id": "订单ID",
+  "action": "HOLD | ADJUST_SL_TP | PARTIAL_CLOSE | FULL_CLOSE",
+  "new_sl": 新止损价格（仅 ADJUST_SL_TP 时）,
+  "new_tp": 新止盈价格（仅 ADJUST_SL_TP 时）,
+  "close_percent": 平仓比例 0-100（仅 PARTIAL_CLOSE 时）,
+  "reason": "调整原因（简明扼要，20字以内）"
+}
+```
+
+## 重要原则
+1. **主动管理**：不要被动等待止损触发，主动识别风险
+2. **保护利润**：盈利状态下，优先考虑锁定利润
+3. **果断止损**：亏损状态下，如果趋势反转，果断离场
+4. **灵活调整**：根据最新行情，不局限于开仓时的判断
+5. **考虑成本**：频繁调整会增加交易成本，只在有明确信号时调整
+"""
+
+    async def review_positions(
+        self,
+        symbol: str,
+        positions: List[Dict[str, Any]],
+        data: Dict[str, pd.DataFrame]
+    ) -> List[Dict[str, Any]]:
+        """
+        回顾并分析现有持仓，给出调整建议
+
+        Args:
+            symbol: 交易对
+            positions: 持仓列表，每个持仓包含：
+                - order_id: 订单ID
+                - side: 'long' or 'short'
+                - entry_price: 开仓价格
+                - current_price: 当前价格
+                - stop_loss: 当前止损
+                - take_profit: 当前止盈
+                - quantity: 仓位数量
+                - pnl_percent: 盈亏百分比
+                - open_time: 开仓时间
+            data: 多周期K线数据
+
+        Returns:
+            调整建议列表
+        """
+        if not positions:
+            return []
+
+        try:
+            # 构建持仓分析提示
+            prompt = self._build_position_review_prompt(symbol, positions, data)
+
+            # 调用 LLM
+            response = llm_service.chat([
+                {"role": "system", "content": self.POSITION_REVIEW_PROMPT},
+                {"role": "user", "content": prompt}
+            ], model_override=self.model_override)
+
+            if not response:
+                logger.warning(f"{symbol} 持仓回顾 LLM 分析无响应")
+                return []
+
+            # 解析响应
+            return self._parse_position_review_response(response)
+
+        except Exception as e:
+            logger.error(f"持仓回顾分析失败: {e}", exc_info=True)
+            return []
+
+    def _build_position_review_prompt(
+        self,
+        symbol: str,
+        positions: List[Dict[str, Any]],
+        data: Dict[str, pd.DataFrame]
+    ) -> str:
+        """构建持仓分析提示"""
+        lines = [f"# {symbol} 持仓回顾分析", f"分析时间: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}"]
+        lines.append("\n## 当前持仓")
+
+        for idx, pos in enumerate(positions, 1):
+            side_text = "做多 📈" if pos['side'] == 'long' else "做空 📉"
+            pnl_text = f"+{pos['pnl_percent']:.1f}%" if pos['pnl_percent'] >= 0 else f"{pos['pnl_percent']:.1f}%"
+            pnl_emoji = "✅" if pos['pnl_percent'] >= 0 else "❌"
+
+            lines.append(f"\n### 持仓 {idx}: {pos['order_id']}")
+            lines.append(f"- 方向: {side_text}")
+            lines.append(f"- 开仓价: ${pos['entry_price']:,.2f}")
+            lines.append(f"- 当前价: ${pos['current_price']:,.2f}")
+            lines.append(f"- 盈亏: {pnl_emoji} {pnl_text}")
+            lines.append(f"- 止损: ${pos['stop_loss']:,.2f}")
+            lines.append(f"- 止盈: ${pos['take_profit']:,.2f}")
+            lines.append(f"- 仓位: ${pos['quantity']:,.0f}")
+
+            # 计算持仓时间
+            if 'open_time' in pos:
+                open_time = pos['open_time']
+                if isinstance(open_time, str):
+                    open_time = datetime.fromisoformat(open_time)
+                duration = datetime.now() - open_time
+                hours = duration.total_seconds() / 3600
+                lines.append(f"- 持仓时间: {hours:.1f} 小时")
+
+        # 添加市场分析
+        lines.append("\n## 最新市场分析")
+
+        # 使用 1h 和 4h 数据分析
+        for interval in ['4h', '1h']:
+            df = data.get(interval)
+            if df is None or len(df) < 20:
+                continue
+
+            latest = df.iloc[-1]
+            prev = df.iloc[-2]
+
+            lines.append(f"\n### {interval} 周期")
+            lines.append(f"- 当前价格: ${latest['close']:,.2f}")
+            lines.append(f"- 涨跌幅: {((latest['close'] - prev['close']) / prev['close'] * 100):+.2f}%")
+
+            if 'ma5' in df.columns and pd.notna(latest['ma5']):
+                lines.append(f"- MA5: ${latest['ma5']:,.2f}")
+            if 'ma20' in df.columns and pd.notna(latest['ma20']):
+                lines.append(f"- MA20: ${latest['ma20']:,.2f}")
+
+            if 'rsi' in df.columns and pd.notna(latest['rsi']):
+                rsi_val = latest['rsi']
+                rsi_status = "超买" if rsi_val > 70 else "超卖" if rsi_val < 30 else "正常"
+                lines.append(f"- RSI: {rsi_val:.1f} ({rsi_status})")
+
+            if 'macd' in df.columns and pd.notna(latest['macd']):
+                macd_trend = "多头" if latest['macd'] > 0 else "空头"
+                lines.append(f"- MACD: {latest['macd']:.4f} ({macd_trend})")
+
+        # 添加趋势判断
+        lines.append("\n## 请给出调整建议")
+        lines.append("对于每个持仓，请分析是否需要调整，并按 JSON 格式输出。")
+
+        return "\n".join(lines)
+
+    def _parse_position_review_response(self, response: str) -> List[Dict[str, Any]]:
+        """解析持仓回顾响应"""
+        try:
+            # 尝试提取 JSON 数组
+            import json
+            import re
+
+            # 查找 JSON 数组
+            json_match = re.search(r'\[\s*\{.*?\}\s*\]', response, re.DOTALL)
+            if json_match:
+                json_str = json_match.group(0)
+                decisions = json.loads(json_str)
+
+                # 验证每个决策的格式
+                valid_decisions = []
+                for decision in decisions:
+                    if 'order_id' in decision and 'action' in decision:
+                        valid_decisions.append(decision)
+                    else:
+                        logger.warning(f"无效的决策格式: {decision}")
+
+                return valid_decisions
+
+            # 如果找不到 JSON 数组，尝试解析单个对象
+            json_match = re.search(r'\{[^{}]*"action"[^{}]*\}', response, re.DOTALL)
+            if json_match:
+                json_str = json_match.group(0)
+                decision = json.loads(json_str)
+                if 'order_id' in decision and 'action' in decision:
+                    return [decision]
+
+            logger.warning(f"无法解析持仓回顾响应: {response[:200]}")
+            return []
+
+        except json.JSONDecodeError as e:
+            logger.error(f"解析持仓回顾 JSON 失败: {e}")
+            return []
+        except Exception as e:
+            logger.error(f"解析持仓回顾响应时出错: {e}")
+            return []
diff --git a/backend/app/services/paper_trading_service.py b/backend/app/services/paper_trading_service.py
index f091a9e..2c0a15d 100644
--- a/backend/app/services/paper_trading_service.py
+++ b/backend/app/services/paper_trading_service.py
@@ -1304,6 +1304,178 @@ class PaperTradingService:
 
         return "\n".join(lines)
 
+    def adjust_position_by_llm(
+        self,
+        order_id: str,
+        action: str,
+        new_sl: Optional[float] = None,
+        new_tp: Optional[float] = None,
+        close_percent: Optional[float] = None
+    ) -> Dict[str, Any]:
+        """
+        根据 LLM 建议调整持仓
+
+        Args:
+            order_id: 订单ID
+            action: 操作类型 ('HOLD', 'ADJUST_SL_TP', 'PARTIAL_CLOSE', 'FULL_CLOSE')
+            new_sl: 新止损价格
+            new_tp: 新止盈价格
+            close_percent: 平仓比例 (0-100)
+
+        Returns:
+            调整结果
+        """
+        if order_id not in self.active_orders:
+            return {'success': False, 'error': f'订单 {order_id} 不存在或已关闭'}
+
+        order = self.active_orders[order_id]
+
+        # 如果订单是挂单状态，不能调整
+        if order.status != OrderStatus.OPEN:
+            return {'success': False, 'error': f'订单状态为 {order.status.value}，无法调整'}
+
+        db = db_service.get_session()
+        try:
+            if action == 'HOLD':
+                return {'success': True, 'message': '保持持仓不变'}
+
+            elif action == 'ADJUST_SL_TP':
+                # 调整止损止盈
+                updated = False
+                changes = []
+
+                if new_sl is not None:
+                    order.stop_loss = new_sl
+                    changes.append(f"止损→${new_sl:,.2f}")
+                    updated = True
+
+                if new_tp is not None:
+                    order.take_profit = new_tp
+                    changes.append(f"止盈→${new_tp:,.2f}")
+                    updated = True
+
+                if updated:
+                    db.commit()
+                    logger.info(f"LLM 调整订单 {order_id}: {', '.join(changes)}")
+                    return {
+                        'success': True,
+                        'action': 'adjusted',
+                        'changes': changes,
+                        'order': order.to_dict()
+                    }
+                else:
+                    return {'success': False, 'error': '未提供新的止损或止盈价格'}
+
+            elif action == 'PARTIAL_CLOSE':
+                # 部分平仓
+                if close_percent is None or close_percent <= 0 or close_percent > 100:
+                    return {'success': False, 'error': f'无效的平仓比例: {close_percent}'}
+
+                # 计算平仓数量
+                close_quantity = order.quantity * (close_percent / 100)
+                remaining_quantity = order.quantity - close_quantity
+
+                if remaining_quantity < 10:  # 剩余数量太小，直接全部平仓
+                    return self._close_order_llm(order, db, 'PARTIAL_CLOSE', '部分平仓后剩余过少，直接全部平仓')
+
+                # 执行部分平仓
+                entry_price = order.filled_price or order.entry_price
+                current_price = self._get_current_price(order.symbol)
+                pnl = self._calculate_pnl(order, current_price)
+
+                # 更新订单数量
+                order.quantity = remaining_quantity
+
+                # 记录部分平仓
+                logger.info(f"LLM 部分平仓: {order_id} 平掉 {close_percent:.1f}% ({close_quantity:.0f})")
+
+                db.commit()
+
+                return {
+                    'success': True,
+                    'action': 'partial_close',
+                    'close_percent': close_percent,
+                    'close_quantity': close_quantity,
+                    'remaining_quantity': remaining_quantity,
+                    'pnl': pnl,
+                    'order': order.to_dict()
+                }
+
+            elif action == 'FULL_CLOSE':
+                # 全部平仓
+                return self._close_order_llm(order, db, 'FULL_CLOSE', 'LLM 建议平仓')
+
+            else:
+                return {'success': False, 'error': f'未知的操作类型: {action}'}
+
+        except Exception as e:
+            db.rollback()
+            logger.error(f"调整订单失败: {e}", exc_info=True)
+            return {'success': False, 'error': str(e)}
+        finally:
+            db.close()
+
+    def _close_order_llm(
+        self,
+        order: PaperOrder,
+        db,
+        close_reason: str,
+        reason_detail: str
+    ) -> Dict[str, Any]:
+        """
+        LLM 触发的平仓操作
+
+        Args:
+            order: 订单对象
+            db: 数据库会话
+            close_reason: 平仓原因类型
+            reason_detail: 详细原因
+
+        Returns:
+            平仓结果
+        """
+        # 获取当前价格
+        current_price = self._get_current_price(order.symbol)
+
+        # 计算盈亏
+        pnl = self._calculate_pnl(order, current_price)
+
+        # 更新订单状态
+        order.status = OrderStatus.CLOSED
+        order.close_price = current_price
+        order.close_time = datetime.utcnow()
+        order.pnl = pnl['pnl']
+        order.pnl_percent = pnl['pnl_percent']
+        order.close_reason = close_reason
+
+        # 从活跃订单中移除
+        if order.order_id in self.active_orders:
+            del self.active_orders[order.order_id]
+
+        db.commit()
+
+        logger.info(f"LLM 平仓: {order.order_id} | 原因: {reason_detail} | 盈亏: ${pnl['pnl']:+.2f} ({pnl['pnl_percent']:+.1f}%)")
+
+        return {
+            'success': True,
+            'action': 'closed',
+            'close_reason': close_reason,
+            'reason_detail': reason_detail,
+            'pnl': pnl,
+            'order': order.to_dict()
+        }
+
+    def _get_current_price(self, symbol: str) -> float:
+        """获取交易对当前价格"""
+        try:
+            from app.services.binance_service import binance_service
+            ticker = binance_service.get_ticker(symbol)
+            if ticker and 'lastPrice' in ticker:
+                return float(ticker['lastPrice'])
+        except Exception as e:
+            logger.warning(f"获取 {symbol} 当前价格失败: {e}")
+        return 0.0
+
     def reset_all_data(self) -> Dict[str, Any]:
         """
         重置所有模拟交易数据