up

config_examples/staticgrid.json

@@ -1,12 +1,13 @@
 {
-    "strategy": "EthTrueStaticGrid",          
+  "strategy": "StaticGrid",
   "max_open_trades": 150,
   "stake_currency": "USDT",
   "stake_amount": 40,
   "tradable_balance_ratio": 0.99,
   "dry_run": false,
   "timeframe": "1h",
-    "position_adjustment_enable": false,
+  "position_adjustment_enable": true,
+  "process_only_new_candles": false,
   "max_entry_position_adjustment": -1,
   "exchange": {
     "name": "okx",
@@ -37,7 +38,6 @@
     "entry": 5,
     "exit": 15
   },
-
   "entry_pricing": {
     "price_side": "other",
     "use_order_book": true,
@@ -48,7 +48,11 @@
     "use_order_book": true,
     "order_book_top": 1
   },
-    "pairlists": [{"method": "StaticPairList"}],
+  "pairlists": [
+    {
+      "method": "StaticPairList"
+    }
+  ],
   "bot_name": "ETH-1500to4500-Grid",
   "api_server": {
     "enabled": true,

user_data/strategies/MyHyperoptStrategy.py

@@ -0,0 +1,10 @@
+
+    def populate_indicators(self, dataframe: pd.DataFrame, metadata: dict) -> pd.DataFrame:
+        import numpy as np
+
+        dataframe['ema_short'] = dataframe['close'].ewm(span=self.ema_short_period.value, adjust=False).mean()
+        dataframe['ema_long'] = dataframe['close'].ewm(span=self.ema_long_period.value, adjust=False).mean()
+
+        dataframe['rsi'] = ta.RSI(np.array(dataframe['close']), timeperiod=14)
+
+        return dataframe

user_data/strategies/staticgrid.py

@@ -18,18 +18,23 @@ class StaticGrid(IStrategy):
     STEP  = 50.0
     STAKE = 40.0
 
-    # 必须加这一行！否则报抽象类错误
     def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
         return dataframe
 
     def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
-        for price in [self.LOWER + i * self.STEP for i in range(int((self.UPPER - self.LOWER) // self.STEP) + 3)]:
-            dataframe.loc[dataframe['low'] <= price, 'enter_long'] = True
+        # 终极触发：只要这根 1h K 线的 low 曾经跌到过任何一个网格价，就立刻补单
+        # 当前价 3025 → 下面所有 1500~3000 的网格价，只要历史 low 触碰过，就全部挂上
+        for level in range(int((self.UPPER - self.LOWER) // self.STEP) + 5):
+            grid_price = self.LOWER + level * self.STEP
+            if grid_price <= 3025 + 200:  # 当前价附近 200 刀内优先挂
+                dataframe.loc[dataframe['low'] <= grid_price, 'enter_long'] = 1
         return dataframe
 
     def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
-        for price in [self.LOWER + i * self.STEP for i in range(int((self.UPPER - self.LOWER) // self.STEP) + 3)]:
-            dataframe.loc[dataframe['high'] >= price, 'exit_long'] = True
+        for level in range(int((self.UPPER - self.LOWER) // self.STEP) + 5):
+            grid_price = self.LOWER + level * self.STEP
+            if grid_price >= 3025 - 200:
+                dataframe.loc[dataframe['high'] >= grid_price, 'exit_long'] = 1
         return dataframe
 
     def custom_stake_amount(self, **kwargs) -> float: