hyperopted from 0601 to 0610 这个时间短段得到的结果 普适性好

docker-compose.yml

@@ -17,6 +17,9 @@ services:
     #   context: .
     #   dockerfile: "./docker/Dockerfile.custom"
     restart: always
+    extra_hosts:
+      - "www.okx.com:104.18.43.174"  # 域名:IP 格式
+      - "api.okx.com:104.18.43.174"  # 域名:IP 格式
     container_name: freqtrade
     volumes:
       - "./user_data:/freqtrade/user_data"

freqtrade/templates/freqaiprimer.json

@@ -5,65 +5,35 @@
     "stoploss": {
       "stoploss": -0.14
     },
-    "max_open_trades": {
-      "max_open_trades": 5
-    },
-    "buy": {
-      "ADD_POSITION_THRESHOLD": -0.021,
-      "BUY_THRESHOLD_MAX": -0.001,
-      "BUY_THRESHOLD_MIN": -0.035,
-      "COOLDOWN_PERIOD_MINUTES": 9,
-      "MAX_ENTRY_POSITION_ADJUSTMENT": 3
-    },
-    "sell": {
-      "EXIT_POSITION_RATIO": 0.472,
-      "SELL_THRESHOLD_MAX": 0.065,
-      "SELL_THRESHOLD_MIN": 0.002,
-      "TRAILING_STOP_DISTANCE": 0.0125,
-      "TRAILING_STOP_START": 0.045
-    },
-    "protection": {},
-    "model_training_parameters": {
-      "price_value_divergence": {
-        "model": "LightGBMRegressor",
-        "model_params": {
-          "n_estimators": 200,
-          "learning_rate": 0.05,
-          "num_leaves": 31,
-          "verbose": -1
-        }
-      },
-      "optimal_first_length": {
-        "model": "LightGBMClassifier",
-        "model_params": {
-          "n_estimators": 150,
-          "learning_rate": 0.1,
-          "num_leaves": 15,
-          "max_depth": 8,
-          "min_child_samples": 10,
-          "class_weight": "balanced",
-          "verbose": -1
-        }
-      },
-      "volatility_forecast": {
-        "model": "LightGBMRegressor",
-        "model_params": {
-          "n_estimators": 180,
-          "learning_rate": 0.08,
-          "num_leaves": 25,
-          "max_depth": 6,
-          "verbose": -1
-        }
-      }
-    },
     "trailing": {
       "trailing_stop": true,
       "trailing_stop_positive": 0.0125,
       "trailing_stop_positive_offset": 0.045,
       "trailing_only_offset_is_reached": false
-    }
-
+    },
+    "max_open_trades": {
+      "max_open_trades": 5
+    },
+    "buy": {
+      "bb_length": 17,
+      "bb_lower_deviation": 1.04,
+      "bb_std": 1.8,
+      "bb_width_threshold": 0.012,
+      "h1_max_candles": 108,
+      "h1_max_consecutive_candles": 2,
+      "h1_rapid_rise_threshold": 0.109,
+      "min_condition_count": 2,
+      "rsi_bull_threshold": 46,
+      "rsi_length": 19,
+      "rsi_overbought": 60,
+      "rsi_oversold": 49,
+      "stochrsi_bull_threshold": 37,
+      "stochrsi_neutral_threshold": 23,
+      "volume_multiplier": 1.5
+    },
+    "sell": {},
+    "protection": {}
   },
   "ft_stratparam_v": 1,
-  "export_time": "2025-08-14 06:30:51.352733+00:00"
-}
+  "export_time": "2025-09-08 03:00:52.051003+00:00"
+}

freqtrade/templates/freqaiprimer.py

@@ -604,6 +604,9 @@ class FreqaiPrimer(IStrategy):
         
         # 获取初始入场价格和当前价格的差值百分比
         initial_price = trade.open_rate
+        # 防止除零错误：如果initial_price为0，则返回不加仓
+        if initial_price == 0:
+            return 0.0
         price_diff_pct = (current_rate - initial_price) / initial_price
         
         # 检查价格回调是否达到加仓间隔（0.047）

tools/hyperopt.sh

@@ -244,7 +244,7 @@ docker-compose run --rm freqtrade hyperopt $PAIRS_FLAG \
   --strategy-path /freqtrade/templates \
   --timerange ${START_DATE}-${END_DATE} \
   -e 100 \
-  -j 4 \
-  --hyperopt-loss SharpeHyperOptLoss \
-  --spaces buy sell trailing \
+  -j 2 \
+  --hyperopt-loss SharpeHyperOptLossDaily \
+  --spaces buy \
   --fee 0.0016