debug identifier 配置+1

config_examples/dryrun.json

@@ -78,7 +78,66 @@
     "price_side": "other",
     "use_order_book": false
   },
-
+  "freqai": {
+    "enabled": true,
+    "data_kitchen": {
+      "fillna": "ffill"
+    },
+    "freqaimodel": "LightGBMMultiTargetRegressor",
+    "purge_old_models": 2,
+    "identifier": "dryrun-freqai",
+    "train_period_days": 18,
+    "backtest_period_days": 2,
+    "live_retrain_hours": 2,
+    "outlier_detection": {
+      "method": "IsolationForest",
+      "contamination": 0.1
+    },
+    "feature_selection": {
+      "method": "recursive_elimination"
+    },
+    "feature_parameters": {
+      "include_timeframes": [
+        "3m",
+        "15m",
+        "1h",
+        "4h"
+      ],
+      "include_corr_pairlist": [
+        "ETH/USDT",
+        "SOL/USDT"
+      ],
+      "outlier_protection_percentage": 0.1,
+      "label_period_candles": 100,
+      "include_shifted_candles": 3,
+      "DI_threshold": 0.5,
+      "weight_factor": 0.9,
+      "principal_component_analysis": false,
+      "use_SVM_to_remove_outliers": true,
+      "indicator_periods_candles": [
+        10,
+        20,
+        50,
+        100
+      ],
+      "plot_feature_importances": 10
+    },
+    "data_split_parameters": {
+      "test_size": 0.15,
+      "shuffle": false
+    },
+    "model_training_parameters": {
+      "n_estimators": 1000,
+      "learning_rate": 0.015,
+      "num_leaves": 60,
+      "max_depth": 15,
+      "min_data_in_leaf": 10,
+      "feature_fraction": 0.8,
+      "bagging_fraction": 0.8,
+      "bagging_freq": 5,
+      "verbose": -1
+    }
+  },
   "fee": 0.0008,
   "api_server": {
     "enabled": true,

config_examples/freqaiprimer.json

@@ -75,7 +75,6 @@
         },
         "freqaimodel": "LightGBMMultiTargetRegressor",
         "purge_old_models": 2,
-        "identifier": "test58",
         "train_period_days": 12,
         "backtest_period_days": 2,
         "live_retrain_hours": 2,

config_examples/live.json

@@ -91,7 +91,7 @@
     },
     "freqaimodel": "LightGBMMultiTargetRegressor",
     "purge_old_models": 2,
-    "identifier": "test58",
+    "identifier": "live-freqai",
     "train_period_days": 18,
     "backtest_period_days": 2,
     "live_retrain_hours": 2,

tools/dryrun.sh

@@ -229,7 +229,7 @@ done
 
 # 加载策略配置
 STRATEGY_NAME=${STRATEGY_NAME:-TheForceV7}
-CONFIG_FILE=${CONFIG_FILE:-basic.json}
+CONFIG_FILE=${CONFIG_FILE:-freqaiprimer.json}  # 修改：使用 freqaiprimer.json 作为基础配置
 PARAMS_NAME=$(echo "$STRATEGY_NAME" | tr '[:upper:]' '[:lower:]')
 
 echo "使用策略: $STRATEGY_NAME" >&2

tools/live.sh

@@ -245,7 +245,7 @@ done
 
 # 加载策略配置
 STRATEGY_NAME=${STRATEGY_NAME:-TheForceV7}
-CONFIG_FILE=${CONFIG_FILE:-basic.json}
+CONFIG_FILE=${CONFIG_FILE:-freqaiprimer.json}  # 修改：使用 freqaiprimer.json 作为基础配置
 PARAMS_NAME=$(echo "$STRATEGY_NAME" | tr '[:upper:]' '[:lower:]')
 
 echo "使用策略: $STRATEGY_NAME" >&2
@@ -305,9 +305,10 @@ echo "准备启动容器: $CONTAINER_NAME" >&2
 # 清理临时文件放置交叉感染
 cd ../
 source .venv/bin/activate
-rm -rf user_data/models/*
-rm -rf ./freqtrade/user_data/data/backtest_results/*
-rm -fr ./user_data/dryrun_results/*
+# 注释掉删除模型命令，保留已训练的模型以便复用
+# rm -rf user_data/models/*  # ❌ 不删除：保留训练好的模型
+rm -rf ./freqtrade/user_data/data/backtest_results/*  # ✅ 仅清理回测结果
+rm -fr ./user_data/dryrun_results/*  # ✅ 仅清理 dryrun 结果
 cd -
 
 # 第3步：启动新容器