动态步长-fix

user_data/strategies/grid_manager.py

@@ -306,8 +306,14 @@ class GridManager:
     def _round_to_grid(self, price: float) -> float:
         """
         将价格舍入到最接近的网格点（向下舍入）
+        基于 lower_price 的偏移量进行计算
         """
-        return int(price / self.step) * self.step
+        # 计算相对于下沿的偏移量
+        offset = price - self.lower_price
+        # 舍入到最接近的网格间距
+        grid_count = int(offset / self.step)
+        # 返回对应的网格价格
+        return self.lower_price + grid_count * self.step
     
     def get_summary(self) -> Dict[str, Any]:
         """获取当前持仓的完整摘要"""

user_data/strategies/staticgrid.py

@@ -4,7 +4,7 @@ from pandas import DataFrame
 from typing import Optional, Dict, Any
 import logging
 import sys
-from grid_manager import GridManager, OrderFill, AdjustmentType
+from grid_manager import GridManager, OrderFill, AdjustmentType, GridLevel
 
 logger = logging.getLogger(__name__)
 
@@ -75,6 +75,17 @@ class StaticGrid(IStrategy):
             grid_manager.grid_prices = [new_lower + i * step for i in range(grid_manager.total_grid_levels)]
             grid_manager.step = step  # 更新步长
             
+            # 重新初始化 grid_states（应对范围和步长的变化）
+            grid_manager.grid_states.clear()
+            for price in grid_manager.grid_prices:
+                grid_manager.grid_states[price] = GridLevel(
+                    price=price,
+                    status="empty",
+                    quantity=0.0,
+                    entry_price=0.0,
+                    entry_time=0
+                )
+            
             print(f"[StaticGrid] {pair} 更新网格范围 - 从 1000-5000 更新为 {new_lower:.2f}-{new_upper:.2f}",
                   file=sys.stderr, flush=True)
             print(f"[StaticGrid] {pair} 新网格数: {grid_manager.total_grid_levels}, 步长: {step:.4f}",