update polymarket trading: fix auth, add order monitoring, optimize status handling, remove unused scripts

.env.example

@@ -37,3 +37,9 @@ MYSQL_PORT=3306
 MYSQL_USER=user
 MYSQL_PASSWORD=password
 MYSQL_DB=crypto_predictor
+
+# Polymarket Configuration
+POLYMARKET_PRIVATE_KEY=your_private_key_here
+POLYMARKET_API_KEY=your_api_key_here
+POLYMARKET_API_SECRET=your_api_secret_here
+POLYMARKET_API_PASSPHRASE=your_api_passphrase_here

data/trading_db.py

@@ -53,12 +53,28 @@ class TradingDatabase:
                     error_message TEXT,
                     raw_data JSON,
                     created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+                    order_id VARCHAR(100),
                     INDEX idx_market_slug (market_slug),
                     INDEX idx_status (status)
                 ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
             ''')
             conn.commit()
             
+            # 检查并添加 order_id 列 (Migration)
+            self._ensure_column_exists(conn, 'trades', 'order_id', 'VARCHAR(100)')
+
+    def _ensure_column_exists(self, conn, table_name, column_name, column_type):
+        """确保表中存在指定列"""
+        try:
+            cursor = conn.cursor()
+            cursor.execute(f"SHOW COLUMNS FROM {table_name} LIKE '{column_name}'")
+            if not cursor.fetchone():
+                print(f"正在添加列 {column_name} 到表 {table_name}...")
+                cursor.execute(f"ALTER TABLE {table_name} ADD COLUMN {column_name} {column_type}")
+                conn.commit()
+        except Exception as e:
+            print(f"检查/添加列失败: {e}")
+
     def log_trade(self, trade_data: dict):
         """记录交易信息"""
         try:
@@ -72,8 +88,8 @@ class TradingDatabase:
                     INSERT INTO trades (
                         timestamp, market_title, market_slug, model_name,
                         prediction, probability, action, price, amount, size,
-                        status, strategy, error_message, raw_data
+                        status, strategy, error_message, raw_data, order_id
-                    ) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)
+                    ) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)
                 '''
                 
                 cursor.execute(sql, (
@@ -90,7 +106,8 @@ class TradingDatabase:
                     trade_data.get('status'),
                     trade_data.get('strategy'),
                     trade_data.get('error_message'),
-                    raw_data_json
+                    raw_data_json,
+                    trade_data.get('order_id')
                 ))
                 conn.commit()
         except Exception as e:
@@ -109,3 +126,31 @@ class TradingDatabase:
         except Exception as e:
             print(f"检查已存在交易失败: {e}")
             return False
+
+    def get_existing_trade(self, market_slug: str) -> dict:
+        """获取指定市场的最近一次交易记录"""
+        try:
+            with self.get_connection() as conn:
+                cursor = conn.cursor()
+                # Get the latest trade for this market
+                sql = 'SELECT * FROM trades WHERE market_slug = %s ORDER BY id DESC LIMIT 1'
+                cursor.execute(sql, (market_slug,))
+                return cursor.fetchone()
+        except Exception as e:
+            print(f"获取交易记录失败: {e}")
+            return None
+
+    def update_trade_status(self, trade_id: int, status: str, error_message: str = None):
+        """更新交易状态"""
+        try:
+            with self.get_connection() as conn:
+                cursor = conn.cursor()
+                if error_message:
+                    sql = 'UPDATE trades SET status = %s, error_message = %s WHERE id = %s'
+                    cursor.execute(sql, (status, error_message, trade_id))
+                else:
+                    sql = 'UPDATE trades SET status = %s WHERE id = %s'
+                    cursor.execute(sql, (status, trade_id))
+                conn.commit()
+        except Exception as e:
+            print(f"更新交易状态失败: {e}")

export_timesfm_onnx.py

@@ -1,295 +0,0 @@
-"""将Google TimesFM 2.5模型导出为ONNX格式 - 使用正确的API"""
-
-import sys
-import os
-sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
-
-import torch
-import numpy as np
-
-
-def export_timesfm_to_onnx():
-    print("="*80)
-    print("导出TimesFM 2.5 (200M) 模型为ONNX格式")
-    print("="*80)
-
-    # ========== 步骤1: 加载TimesFM模型 ==========
-    print("\n[1/6] 加载TimesFM 2.5模型...")
-
-    try:
-        import timesfm
-
-        # 使用正确的from_pretrained方法加载模型
-        print("  从HuggingFace加载预训练模型...")
-        print("  模型ID: google/timesfm-2.5-200m-pytorch")
-
-        model = timesfm.TimesFM_2p5_200M_torch.from_pretrained(
-            "google/timesfm-2.5-200m-pytorch",
-            torch_compile=False  # 导出ONNX时不使用torch.compile
-        )
-
-        print("✓ TimesFM 2.5模型已加载")
-
-    except ImportError as e:
-        print(f"✗ TimesFM未安装或导入失败: {e}")
-        print("  请运行: pip install git+https://github.com/google-research/timesfm.git")
-        return
-    except Exception as e:
-        print(f"✗ 加载模型失败: {e}")
-        import traceback
-        traceback.print_exc()
-        return
-
-    # ========== 步骤2: 编译模型配置 ==========
-    print("\n[2/6] 配置模型...")
-
-    try:
-        # 配置模型
-        model.compile(
-            timesfm.ForecastConfig(
-                max_context=512,        # BTC历史数据512小时
-                max_horizon=24,         # 预测未来24小时
-                normalize_inputs=True,
-                use_continuous_quantile_head=True,
-                force_flip_invariance=True,
-                infer_is_positive=True,
-                fix_quantile_crossing=True,
-            )
-        )
-
-        print("✓ 模型配置完成")
-        print(f"  最大上下文长度: 512")
-        print(f"  最大预测长度: 24")
-        print(f"  归一化输入: True")
-        print(f"  使用分位数预测: True")
-
-    except Exception as e:
-        print(f"✗ 配置失败: {e}")
-        import traceback
-        traceback.print_exc()
-        return
-
-    # ========== 步骤3: 测试模型 ==========
-    print("\n[3/6] 测试模型推理...")
-
-    try:
-        # 创建测试数据
-        test_input = [
-            np.linspace(85000, 90000, 512),  # 模拟BTC价格从85k到90k
-            np.sin(np.linspace(0, 20, 512)) * 1000 + 87000,  # 模拟震荡价格
-        ]
-
-        # 测试推理
-        point_forecast, quantile_forecast = model.forecast(
-            horizon=24,
-            inputs=test_input,
-        )
-
-        print("✓ 模型推理成功")
-        print(f"  点预测形状: {point_forecast.shape}")  # (2, 24)
-        print(f"  分位数预测形状: {quantile_forecast.shape}")  # (2, 24, 11)
-
-    except Exception as e:
-        print(f"⚠️  模型测试失败: {e}")
-        import traceback
-        traceback.print_exc()
-        print("  继续尝试导出...")
-
-    # ========== 步骤4: 提取核心模型并导出ONNX ==========
-    print("\n[4/6] 提取核心模型...")
-
-    try:
-        # TimesFM的核心模型在model.model中
-        core_model = model.model
-        core_model.eval()
-
-        print("✓ 核心模型已提取")
-        print(f"  模型类型: {type(core_model)}")
-
-        # 创建ONNX导出包装器
-        class TimesFMONNXWrapper(torch.nn.Module):
-            """TimesFM ONNX导出包装器"""
-            def __init__(self, timesfm_core_model):
-                super().__init__()
-                self.model = timesfm_core_model
-
-            def forward(self, inputs, masks=None):
-                """
-                Args:
-                    inputs: (batch_size, context_length) - 输入时间序列
-                    masks: (batch_size, context_length) - 可选mask，1=有效，0=无效
-                Returns:
-                    point_forecast: (batch_size, horizon_length) - 点预测
-                """
-                # 如果没有提供masks，创建全1的mask
-                if masks is None:
-                    masks = torch.ones_like(inputs)
-
-                # 调用TimesFM核心模型
-                # 注意：这里需要根据实际的forward签名调整
-                outputs, _ = self.model(inputs, masks, decode_caches=None)
-
-                # outputs包含: (input_embeddings, output_embeddings, output_ts, output_quantile_spread)
-                # output_ts是点预测
-                point_forecast = outputs[2]
-
-                return point_forecast
-
-        wrapped_model = TimesFMONNXWrapper(core_model)
-        wrapped_model.eval()
-
-        print("✓ ONNX包装器已创建")
-
-    except Exception as e:
-        print(f"✗ 提取核心模型失败: {e}")
-        import traceback
-        traceback.print_exc()
-        return
-
-    # ========== 步骤5: 导出为ONNX ==========
-    print("\n[5/6] 导出模型为ONNX格式...")
-
-    onnx_path = "./models/timesfm_2p5_200m.onnx"
-    os.makedirs("./models", exist_ok=True)
-
-    try:
-        # 准备示例输入
-        batch_size = 1
-        context_len = 512
-
-        dummy_input = torch.randn(batch_size, context_len, dtype=torch.float32)
-        dummy_mask = torch.ones(batch_size, context_len, dtype=torch.float32)
-
-        print(f"  示例输入形状: inputs={dummy_input.shape}, masks={dummy_mask.shape}")
-        print("  开始导出ONNX...")
-
-        # 导出为ONNX
-        torch.onnx.export(
-            wrapped_model,
-            (dummy_input, dummy_mask),
-            onnx_path,
-            export_params=True,
-            opset_version=14,
-            do_constant_folding=True,
-            input_names=['inputs', 'masks'],
-            output_names=['point_forecast'],
-            dynamic_axes={
-                'inputs': {0: 'batch_size', 1: 'context_length'},
-                'masks': {0: 'batch_size', 1: 'context_length'},
-                'point_forecast': {0: 'batch_size', 1: 'horizon_length'}
-            },
-            verbose=False
-        )
-
-        print(f"✓ ONNX模型已导出")
-        print(f"  保存路径: {onnx_path}")
-        print(f"  文件大小: {os.path.getsize(onnx_path) / (1024**2):.2f} MB")
-
-    except Exception as e:
-        print(f"✗ ONNX导出失败: {e}")
-        import traceback
-        traceback.print_exc()
-
-        # 尝试简化版本
-        print("\n尝试简化导出方案...")
-        try:
-            # 只导出单输入版本
-            torch.onnx.export(
-                wrapped_model,
-                dummy_input,
-                onnx_path,
-                export_params=True,
-                opset_version=14,
-                input_names=['inputs'],
-                output_names=['predictions'],
-            )
-            print(f"✓ 简化版ONNX模型已导出: {onnx_path}")
-        except Exception as e2:
-            print(f"✗ 简化导出也失败: {e2}")
-            return
-
-    # ========== 步骤6: 验证ONNX模型 ==========
-    print("\n[6/6] 验证ONNX模型...")
-
-    try:
-        import onnx
-        import onnxruntime as ort
-
-        # 加载并检查ONNX模型
-        onnx_model = onnx.load(onnx_path)
-        onnx.checker.check_model(onnx_model)
-        print("✓ ONNX模型结构验证通过")
-
-        # 显示模型信息
-        print(f"\n模型信息:")
-        print(f"  输入:")
-        for input_tensor in onnx_model.graph.input:
-            dims = [d.dim_value if d.dim_value > 0 else 'dynamic' for d in input_tensor.type.tensor_type.shape.dim]
-            print(f"    - {input_tensor.name}: {dims}")
-
-        print(f"  输出:")
-        for output_tensor in onnx_model.graph.output:
-            dims = [d.dim_value if d.dim_value > 0 else 'dynamic' for d in output_tensor.type.tensor_type.shape.dim]
-            print(f"    - {output_tensor.name}: {dims}")
-
-        # 创建ONNX Runtime推理会话
-        print("\n  创建ONNX Runtime推理会话...")
-        ort_session = ort.InferenceSession(onnx_path)
-
-        # 准备测试输入
-        test_input = np.random.randn(1, 512).astype(np.float32)
-        test_mask = np.ones((1, 512), dtype=np.float32)
-
-        # 运行推理
-        print("  运行推理测试...")
-        outputs = ort_session.run(
-            None,
-            {'inputs': test_input, 'masks': test_mask}
-        )
-
-        print(f"✓ ONNX推理成功")
-        print(f"  输出数量: {len(outputs)}")
-        for i, output in enumerate(outputs):
-            print(f"  输出{i}形状: {output.shape}")
-
-    except ImportError:
-        print("⚠️  未安装onnx或onnxruntime，跳过验证")
-        print("  安装命令: pip install onnx onnxruntime")
-    except Exception as e:
-        print(f"⚠️  ONNX验证失败: {e}")
-        import traceback
-        traceback.print_exc()
-        print("  但模型文件已保存，可以尝试手动验证")
-
-    # ========== 总结 ==========
-    print("\n" + "="*80)
-    print("✓ TimesFM 2.5模型导出完成!")
-    print("="*80)
-
-    if os.path.exists(onnx_path):
-        print(f"\n保存位置: {onnx_path}")
-        print(f"文件大小: {os.path.getsize(onnx_path) / (1024**2):.2f} MB")
-
-        print(f"\n使用方法:")
-        print(f"```python")
-        print(f"import onnxruntime as ort")
-        print(f"import numpy as np")
-        print(f"")
-        print(f"# 加载模型")
-        print(f"session = ort.InferenceSession('{onnx_path}')")
-        print(f"")
-        print(f"# 准备输入（512小时BTC历史价格）")
-        print(f"btc_prices = np.array([85000, 85100, ...])  # 512个价格点")
-        print(f"inputs = btc_prices.reshape(1, -1).astype(np.float32)")
-        print(f"masks = np.ones((1, 512), dtype=np.float32)")
-        print(f"")
-        print(f"# 推理")
-        print(f"outputs = session.run(None, {{'inputs': inputs, 'masks': masks}})")
-        print(f"predictions = outputs[0]  # 未来24小时价格预测")
-        print(f"```")
-
-    print("\n" + "="*80)
-
-
-if __name__ == "__main__":
-    export_timesfm_to_onnx()

start_system.bat

@@ -1,47 +0,0 @@
-@echo off
-chcp 65001 >nul
-REM ============================================
-REM  系统启动脚本 (Windows)
-REM  启动 API 服务和自动交易程序
-REM ============================================
-
-echo [%date% %time%] 正在启动系统...
-
-REM 检查 conda 环境
-where conda >nul 2>&1
-if %errorlevel% neq 0 (
-    echo [错误] 未找到 conda，请先安装 Anaconda 或 Miniconda
-    pause
-    exit /b 1
-)
-
-REM 激活 conda 环境
-echo [%date% %time%] 激活 conda 环境: crypto_pred_312
-call conda activate crypto_pred_312
-if %errorlevel% neq 0 (
-    echo [错误] 无法激活 conda 环境 crypto_pred_312
-    echo 请先创建环境: conda create -n crypto_pred_312 python=3.12
-    pause
-    exit /b 1
-)
-
-REM 启动 API 服务 (后台运行)
-echo [%date% %time%] 启动 API 服务...
-start "API服务" cmd /c "python -m uvicorn api.main:app --host 0.0.0.0 --port 8000"
-
-REM 等待 API 启动
-timeout /t 3 /nobreak >nul
-
-REM 启动自动交易程序 (后台运行)
-echo [%date% %time%] 启动自动交易程序...
-start "自动交易" cmd /c "python -u auto_trade_polymarket.py"
-
-echo.
-echo ============================================
-echo   系统启动完成!
-echo   前端访问: http://localhost:8000
-echo   关闭窗口可停止对应服务
-echo ============================================
-echo.
-
-pause

start_system.ps1

@@ -1,90 +0,0 @@
-# ============================================
-#  系统启动脚本 (Windows PowerShell)
-#  启动 API 服务和自动交易程序
-# ============================================
-
-$ErrorActionPreference = "Stop"
-
-function Write-Log {
-    param([string]$Message, [string]$Color = "White")
-    $timestamp = Get-Date -Format "yyyy-MM-dd HH:mm:ss"
-    Write-Host "[$timestamp] $Message" -ForegroundColor $Color
-}
-
-Write-Log "正在启动系统..." "Yellow"
-
-# 检查 conda
-$condaPath = Get-Command conda -ErrorAction SilentlyContinue
-if (-not $condaPath) {
-    Write-Log "错误: 未找到 conda，请先安装 Anaconda 或 Miniconda" "Red"
-    Read-Host "按回车键退出"
-    exit 1
-}
-
-# 激活 conda 环境
-Write-Log "激活 conda 环境: crypto_pred_312" "Yellow"
-try {
-    conda activate crypto_pred_312
-} catch {
-    Write-Log "错误: 无法激活 conda 环境 crypto_pred_312" "Red"
-    Write-Log "请先创建环境: conda create -n crypto_pred_312 python=3.12" "Yellow"
-    Read-Host "按回车键退出"
-    exit 1
-}
-
-# 启动 API 服务
-Write-Log "启动 API 服务..." "Yellow"
-$apiProcess = Start-Process -FilePath "python" `
-    -ArgumentList "-m uvicorn api.main:app --host 0.0.0.0 --port 8000" `
-    -PassThru -NoNewWindow
-
-Write-Log "API 服务已启动 (PID: $($apiProcess.Id))" "Green"
-
-# 等待 API 启动
-Start-Sleep -Seconds 3
-
-# 启动自动交易程序
-Write-Log "启动自动交易程序..." "Yellow"
-$tradeProcess = Start-Process -FilePath "python" `
-    -ArgumentList "-u auto_trade_polymarket.py" `
-    -PassThru -NoNewWindow
-
-Write-Log "自动交易程序已启动 (PID: $($tradeProcess.Id))" "Green"
-
-Write-Host ""
-Write-Host "============================================" -ForegroundColor Cyan
-Write-Host "  系统启动完成!" -ForegroundColor Green
-Write-Host "  前端访问: http://localhost:8000" -ForegroundColor Green
-Write-Host "  按 Ctrl+C 停止所有服务" -ForegroundColor Yellow
-Write-Host "============================================" -ForegroundColor Cyan
-Write-Host ""
-
-# 等待用户中断
-try {
-    while ($true) {
-        # 检查进程状态
-        if ($apiProcess.HasExited) {
-            Write-Log "API 服务意外退出" "Red"
-            break
-        }
-        if ($tradeProcess.HasExited) {
-            Write-Log "自动交易程序意外退出" "Red"
-            break
-        }
-        Start-Sleep -Seconds 1
-    }
-} finally {
-    Write-Log "正在停止服务..." "Yellow"
-    
-    if (-not $apiProcess.HasExited) {
-        Stop-Process -Id $apiProcess.Id -Force -ErrorAction SilentlyContinue
-        Write-Log "API 服务已停止" "Green"
-    }
-    
-    if (-not $tradeProcess.HasExited) {
-        Stop-Process -Id $tradeProcess.Id -Force -ErrorAction SilentlyContinue
-        Write-Log "自动交易程序已停止" "Green"
-    }
-    
-    Write-Log "所有服务已停止" "Green"
-}

start_system.py

@@ -91,6 +91,23 @@ def terminate_process(process, name):
         except Exception:
             pass
 
+def send_alert(content):
+    """发送告警消息 (使用 curl)"""
+    try:
+        url = "https://zhiyinzhe.xyz/sendMsg/api/send"
+        cmd = [
+            "curl", "-X", "POST", url,
+            "-F", "bot_name=weibo",
+            "-F", "receive_id=on_f972f5f8c4de6ac967574b97dc8c1d82",
+            "-F", "receive_id_type=union_id",
+            "-F", f"content={content}"
+        ]
+        # 使用 run 等待请求完成，确保告警发出
+        subprocess.run(cmd, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL, timeout=10)
+        log(f"已发送告警: {content}", GREEN)
+    except Exception as e:
+        log(f"发送告警失败: {e}", RED)
+
 def main():
     # 激活 Conda 环境
     # 注意：在子进程中直接使用当前已激活的 python 解释器路径，避免 conda activate 问题
@@ -117,10 +134,14 @@ def main():
         # 监控子进程状态
         while True:
             if api_process and api_process.poll() is not None:
-                log("API 服务意外退出", RED)
+                msg = "API 服务意外退出"
+                log(msg, RED)
+                send_alert(msg)
                 break
             if trade_process and trade_process.poll() is not None:
-                log("自动交易程序意外退出", RED)
+                msg = "自动交易程序意外退出"
+                log(msg, RED)
+                send_alert(msg)
                 break
             time.sleep(1)
             

trader/auto_trade_polymarket.py

@@ -150,18 +150,80 @@ class PolymarketBTCTrader:
         """初始化CLOB交易客户端"""
         try:
             from py_clob_client.client import ClobClient
+            from py_clob_client.clob_types import ApiCreds, OpenOrderParams
+            
+            funder = os.getenv("FUNDER_ADDRESS")
+            nonce_str = os.getenv("POLYMARKET_NONCE")  # 可选，取决于你的钱包设置
+            nonce = int(nonce_str) if nonce_str else None
+            if self.private_key and funder and nonce is not None:
+                try: 
+                    self.clob_client = ClobClient(
+                        host=self.CLOB_API,
+                        key=self.private_key,
+                        chain_id=137,  # Polygon
+                        signature_type=2,
+                        funder=funder
+                    )
+                    derived_creds = self.clob_client.create_or_derive_api_creds(nonce=nonce)
+                    self.clob_client.set_api_creds(derived_creds)
+                    logger.info(f"✓ 私钥派生 API Creds 成功! Derived Key: {derived_creds.api_key}")
+                    # 验证API Key是否有效
+                    self.clob_client.get_api_keys()
+                    # 打印账户信息
+                    self._print_account_info()
+                    
+                except Exception as e:
+                    logger.warning(f"⚠️ 环境变量API凭证鉴权失败: {e}")
+                    self._print_account_info()
+            else:
+                self._print_account_info()
 
-            self.clob_client = ClobClient(
-                host=self.CLOB_API,
-                key=self.private_key,
-                chain_id=137,  # Polygon
-            )
-            self.clob_client.set_api_creds(self.clob_client.create_or_derive_api_creds())
-            logger.info("✓ CLOB客户端初始化成功")
         except Exception as e:
             logger.warning(f"⚠️ CLOB客户端初始化失败: {e}")
             self.clob_client = None
 
+    def _print_account_info(self):
+        """打印账户余额和Allowance信息"""
+        try:
+            logger.info("-" * 40)
+            logger.info("👤 账户信息检查:")
+            
+            # 1. 获取地址
+            address = self.clob_client.get_address()
+            logger.info(f"   钱包地址: {address}")
+            
+            # 2. 获取余额和Allowance
+            try:
+                from py_clob_client.clob_types import BalanceAllowanceParams, AssetType
+                
+                # 检查 USDC (Collateral) 的余额
+                # 在Polymarket中，USDC通常作为 COLLATERAL
+                params = BalanceAllowanceParams(asset_type=AssetType.COLLATERAL)
+                
+                balance_allowance = self.clob_client.get_balance_allowance(params)
+                logger.info(f"   USDC余额: ${float(balance_allowance.get('balance', 0)) / 10**6:.2f}") # USDC是6位小数
+                logger.info(f"   授权额度: {balance_allowance.get('allowance', 'N/A')}")
+                
+                # 检查是否足够下单
+                balance = float(balance_allowance.get('balance', 0)) / 10**6
+                if balance < self.max_bet:
+                    logger.warning(f"⚠️ 余额不足: ${balance:.2f} < 下单额 ${self.max_bet:.2f}")
+                    
+            except Exception as e:
+                logger.warning(f"   无法获取详细余额信息: {e}")
+                # 备用方法
+                try:
+                     logger.info(f"   尝试备用方法获取余额...")
+                     # 有些版本的 client 不需要 params
+                     ba = self.clob_client.get_balance_allowance()
+                     logger.info(f"   Balance Info: {ba}")
+                except:
+                     pass
+                
+            logger.info("-" * 40)
+        except Exception as e:
+            logger.error(f"❌ 获取账户信息失败: {e}")
+
     def _log_to_db(self, result: Dict, market: Optional[Dict]):
         """记录交易结果到数据库"""
         try:
@@ -191,6 +253,7 @@ class PolymarketBTCTrader:
                 'size': result.get('size'),
                 'status': status,
                 'error_message': result.get('error'),
+                'order_id': result.get('order_id'),
                 'raw_data': result
             }
             self.db.log_trade(log_data)
@@ -379,6 +442,87 @@ class PolymarketBTCTrader:
             logger.debug(f"获取实时价格失败: {e}")
             return None
     
+    def monitor_order_status(self, order_id: str, timeout_seconds: Optional[int] = None) -> str:
+        """
+        监控订单状态直到成交或超时
+        timeout_seconds: 超时秒数。如果为None，默认监控直到当前小时结束前1分钟。
+        """
+        if timeout_seconds is None:
+             now = datetime.now()
+             next_hour = now.replace(minute=0, second=0, microsecond=0) + timedelta(hours=1)
+             end_time = next_hour - timedelta(minutes=1)
+             timeout_seconds = int((end_time - now).total_seconds())
+             if timeout_seconds < 10: 
+                 timeout_seconds = 10 # 至少监控10秒
+
+        logger.info(f"🕵️ 开始监控订单状态: {order_id} (超时: {timeout_seconds}s)")
+        start_monitor = datetime.now()
+        last_status = 'UNKNOWN'
+        
+        while (datetime.now() - start_monitor).total_seconds() < timeout_seconds:
+            try:
+                order_data = self.clob_client.get_order(order_id)
+                status = order_data.get('status')
+                last_status = status
+                
+                if status in ['MATCHED', 'FILLED']:
+                    logger.info(f"🎉 订单已成交! 状态: {status}")
+                    return status
+                elif status == 'CANCELED':
+                    logger.warning(f"🚫 订单已取消")
+                    return status
+                elif status == 'LIVE':
+                    logger.info(f"   订单挂单中 (LIVE)...")
+                    time.sleep(30)
+                else:
+                    logger.info(f"   订单状态: {status} (等待成交...)")
+                    time.sleep(30) # 轮询间隔
+            except Exception as e:
+                logger.warning(f"⚠️ 查询订单状态失败: {e}")
+                time.sleep(30)
+        
+        logger.info(f"⚠️ 监控超时，当前状态: {last_status}")
+        return last_status
+
+    def _log_to_db(self, result: Dict, market: Optional[Dict]):
+        """记录交易结果到数据库"""
+        try:
+            # 确定状态
+            status = 'UNKNOWN'
+            
+            if self.dry_run:
+                status = 'test'
+            else:
+                # 真实交易：优先使用 Poly 订单状态
+                # 如果没有 order_id，说明下单未成功发起，标记为 FAILED
+                if not result.get('order_id'):
+                    status = 'FAILED'
+                elif result.get('status'):
+                    status = result.get('status')
+                else:
+                    status = 'SUBMITTED' # 有ID但无状态，暂时标记为已提交
+            
+            log_data = {
+                'timestamp': result.get('timestamp'),
+                'market_title': result.get('market'),
+                'market_slug': market.get('slug') if market else result.get('market_slug'),
+                'model_name': 'Ensemble', # 记录为集成策略
+                'prediction': result.get('prediction'),
+                'probability': result.get('probability'),
+                'action': result.get('side'),
+                'price': result.get('price'),
+                'amount': result.get('amount'),
+                'size': result.get('size'),
+                'status': status,
+                'error_message': result.get('error'),
+                'order_id': result.get('order_id'),
+                'raw_data': result
+            }
+            self.db.log_trade(log_data)
+            logger.info(f"💾 交易记录已保存到数据库 (Status: {status})")
+        except Exception as e:
+            logger.error(f"❌ 保存数据库失败: {e}")
+
     def execute_trade(self, prediction: int, market: Dict) -> Dict:
         """执行交易"""
         result = {
@@ -388,25 +532,27 @@ class PolymarketBTCTrader:
             'success': False,
             'order': None,
             'error': None,
+            'order_id': None,
+            'status': None
         }
         
         if prediction == 1:  # 预测涨 -> 买UP
             token_id = market['tokens'][0]
-            price = market['outcome_prices'][0]
+            price = 0.5 # 暂时固定价格
             side = "UP"
         else:  # 预测跌 -> 买DOWN
             token_id = market['tokens'][1]
-            price = market['outcome_prices'][1]
+            price = 0.5 # 暂时固定价格
             side = "DOWN"
         
         result['side'] = side
         result['price'] = price
         
         # 检查价格限制
-        if price > self.max_price:
+        # if price > self.max_price:
-            result['error'] = f"价格${price:.2f}超过限制${self.max_price:.2f}"
+        #     result['error'] = f"价格${price:.2f}超过限制${self.max_price:.2f}"
-            logger.error(f"❌ {result['error']}")
+        #     logger.error(f"❌ {result['error']}")
-            return result
+        #     return result
         
         # 计算数量
         size = self.max_bet / price
@@ -423,6 +569,7 @@ class PolymarketBTCTrader:
             logger.info("🔸 [模拟模式] 未实际下单")
             result['success'] = True
             result['order'] = 'DRY_RUN'
+            result['status'] = 'simulated'
             return result
         
         # 实际下单
@@ -433,21 +580,60 @@ class PolymarketBTCTrader:
         
         try:
             from py_clob_client.order_builder.constants import BUY
+            from py_clob_client.clob_types import OrderArgs, OpenOrderParams
             
-            order = self.clob_client.create_limit_order(
+            # 2. 检查现有挂单
-                token_id=token_id,
+            order_id = None
-                price=price,
+            try:
-                size=size,
+                open_order_params = OpenOrderParams(asset_id=token_id)
-                side=BUY,
+                existing_orders = self.clob_client.get_orders(open_order_params)
-            )
+                if existing_orders:
+                    existing_order = existing_orders[0]
+                    order_id = existing_order.get('orderID')
+                    logger.warning(f"⚠️ 检测到已有挂单: {order_id}，跳过下单")
+                    result['order_id'] = order_id
+                    result['success'] = True
+            except Exception as e:
+                logger.warning(f"⚠️ 检查挂单失败 (不影响下单): {e}")
+
+            if not order_id:
+                # 创建订单参数
+                order_args = OrderArgs(
+                    price=price,
+                    size=size,
+                    side=BUY,
+                    token_id=token_id,
+                )
+                
+                # 3. 原子化下单 (Create & Post)
+                logger.info(f"正在下单... (Price: {price}, Size: {size})")
+                response = self.clob_client.create_and_post_order(order_args)
+                
+                if response and response.get('success'):
+                    order_id = response.get('orderID')
+                    result['order_id'] = order_id
+                    result['success'] = True
+                    result['order'] = response
+                    logger.info(f"✓ 订单已提交, Order ID: {order_id}")
+                else:
+                    error_msg = response.get('errorMsg') if response else "未知错误"
+                    result['error'] = f"下单失败: {error_msg}"
+                    logger.error(f"❌ {result['error']}")
+                    logger.error(f"   Response: {response}")
+
+            # 4. 立即查询状态 (无论是新单还是旧单)
+            if order_id:
+                try:
+                    order_status = self.clob_client.get_order(order_id)
+                    status = order_status.get('status')
+                    result['status'] = status
+                    logger.info(f"   订单状态: {status}")
+                except Exception as e:
+                    logger.warning(f"⚠️ 无法获取订单状态: {e}")
 
-            response = self.clob_client.post_order(order)
-            logger.info(f"✓ 订单已提交: {response}")
-            result['success'] = True
-            result['order'] = response
         except Exception as e:
             result['error'] = str(e)
-            logger.error(f"❌ 下单失败: {e}")
+            logger.error(f"❌ 下单异常: {e}")
         
         return result
     
@@ -662,60 +848,108 @@ class PolymarketBTCTrader:
             return result
             
         # 检查是否已交易过该市场
-        check_status = 'test' if self.dry_run else 'success'
+        existing_trade = self.db.get_existing_trade(market['slug'])
-        if self.db.check_existing_trade(market['slug'], status=check_status):
+        
-            result['error'] = '该市场已存在成功交易记录'
+        if existing_trade:
-            logger.warning(f"⚠️ {result['error']}, 跳过交易")
+            status = existing_trade.get('status')
-            return result
+            order_id = existing_trade.get('order_id')
+            
+            # 如果是成功状态或模拟测试，且不需要进一步同步，则直接跳过
+            if status in ['test', 'MATCHED', 'FILLED']:
+                # 但如果是 dry_run 模式，且 existing_trade 也是 test，则认为是已完成
+                if self.dry_run and status == 'test':
+                    result['error'] = '该市场已存在模拟交易记录'
+                    logger.warning(f"⚠️ {result['error']}, 跳过交易")
+                    return result
+                elif not self.dry_run and status in ['MATCHED', 'FILLED']:
+                    result['error'] = '该市场已存在成功交易记录'
+                    logger.warning(f"⚠️ {result['error']}, 跳过交易")
+                    return result
+            
+            # 如果存在未完成的订单 (且不是 dry_run)，尝试同步状态
+            # FAILED 和 CANCELED 可以重试
+            if not self.dry_run and order_id and status not in ['FAILED', 'CANCELED', 'test']:
+                logger.info(f"🔄 发现已有订单 ({status}), 正在同步状态... OrderID: {order_id}")
+                try:
+                    # 使用较短的超时时间进行一次快速检查
+                    new_status = self.monitor_order_status(order_id, timeout_seconds=10)
+                    
+                    if new_status != status:
+                        self.db.update_trade_status(existing_trade['id'], new_status)
+                        logger.info(f"📝 数据库状态已更新: {status} -> {new_status}")
+                    
+                    if new_status in ['MATCHED', 'FILLED']:
+                        result['status'] = new_status
+                        result['error'] = '该市场已存在成功交易记录 (已同步)'
+                        return result
+                    elif new_status == 'CANCELED':
+                        logger.warning("⚠️ 原订单已取消，将尝试重新下单...")
+                        # 允许后续逻辑继续执行，尝试重新下单
+                        pass
+                    else:
+                        logger.info(f"⏳ 订单状态仍为 {new_status}，继续等待或根据策略处理...")
+                        # 如果还在 OPEN/LIVE，可能需要取消重下或者继续等待？
+                        # 这里简单处理：如果还在挂单中，暂不重复下单
+                        if new_status in ['OPEN', 'LIVE', 'pending']:
+                             result['error'] = f'该市场已存在挂单 ({new_status})'
+                             result['order_id'] = order_id
+                             return result
+                except Exception as e:
+                    logger.warning(f"⚠️ 同步订单状态失败: {e}")
 
         # 3. 循环检查价格并交易
-        start_time = datetime.now()
+        # start_time = datetime.now()
-        end_time = start_time + timedelta(minutes=timeout_minutes)
+        # end_time = start_time + timedelta(minutes=timeout_minutes)
         
-        logger.info(f"🔄 开始价格监控 (预测: {'UP' if prediction == 1 else 'DOWN'})...")
+        # logger.info(f"🔄 开始价格监控 (预测: {'UP' if prediction == 1 else 'DOWN'})...")
         
-        while datetime.now() < end_time:
+        # while datetime.now() < end_time:
             # 刷新价格
-            market = self.refresh_prices()
+            # market = self.refresh_prices()
-            if not market:
+            # if not market:
-                logger.warning("无法获取市场价格，重试中...")
+            #     logger.warning("无法获取市场价格，重试中...")
-                time.sleep(10)
+            #     time.sleep(10)
-                continue
+            #     continue
             
             # 检查价格
-            price_idx = 0 if prediction == 1 else 1
+            # price_idx = 0 if prediction == 1 else 1
-            current_price = market['outcome_prices'][price_idx]
+            # current_price = market['outcome_prices'][price_idx]
             
-            logger.info(f"   当前价格: ${current_price:.3f} (目标: <= ${self.max_price:.2f})")
+            # logger.info(f"   当前价格: ${current_price:.3f} (目标: <= ${self.max_price:.2f})")
             
-            if current_price <= self.max_price:
+            # if current_price <= self.max_price:
                 # 价格符合，执行交易
-                logger.info("✅ 价格满足条件，正在下单...")
+        logger.info("✅ 预测完成，正在下单(限价 0.5)...")
-                trade_result = self.execute_trade(prediction, market)
+        trade_result = self.execute_trade(prediction, market)
-                result.update(trade_result)
+        result.update(trade_result)
         
-                # 记录数据库
+        # 如果下单成功且有order_id，进入状态监控
-                self._log_to_db(result, market)
+        if result.get('success') and result.get('order_id'):
+            final_status = self.monitor_order_status(result['order_id'])
+            result['status'] = final_status
         
-                logger.info("=" * 60)
+        # 记录数据库
-                return result
+        self._log_to_db(result, market)
-            else:
+        
-                # 价格过高，等待
+        logger.info("=" * 60)
-                wait_time = 30  # 等待30秒
+        return result
-                elapsed = int((datetime.now() - start_time).total_seconds())
+            # else:
-                logger.info(f"⏳ 价格过高，继续等待... (已耗时: {elapsed}s)")
+            #     # 价格过高，等待
-                time.sleep(wait_time)
+            #     wait_time = 30  # 等待30秒
+            #     elapsed = int((datetime.now() - start_time).total_seconds())
+            #     logger.info(f"⏳ 价格过高，继续等待... (已耗时: {elapsed}s)")
+            #     time.sleep(wait_time)
         
         # 超时
-        result['error'] = f'等待价格超时 ({timeout_minutes}分钟)'
+        # result['error'] = f'等待价格超时 ({timeout_minutes}分钟)'
-        result['price'] = market['outcome_prices'][0] if prediction == 1 else market['outcome_prices'][1]
+        # result['price'] = market['outcome_prices'][0] if prediction == 1 else market['outcome_prices'][1]
-        result['side'] = 'UP' if prediction == 1 else 'DOWN'
+        # result['side'] = 'UP' if prediction == 1 else 'DOWN'
-        logger.error(f"❌ {result['error']}")
+        # logger.error(f"❌ {result['error']}")
         
-        self._log_to_db(result, market)
+        # self._log_to_db(result, market)
-        logger.info("=" * 60)
+        # logger.info("=" * 60)
         
-        return result
+        # return result
     
     def _show_initial_prediction(self):
         """
@@ -790,9 +1024,9 @@ def main():
                        help='模拟模式(不实际下单)')
     parser.add_argument('--real', action='store_true',
                        help='真实交易模式')
-    parser.add_argument('--max-bet', type=float, default=1.0,
+    parser.add_argument('--max-bet', type=float, default=2.5,
                        help='最大下注金额(USDC)')
-    parser.add_argument('--max-price', type=float, default=0.50,
+    parser.add_argument('--max-price', type=float, default=0.5,
                        help='最高可接受价格')
     parser.add_argument('--once', action='store_true',
                        help='只执行一次(不启动定时器)')