当前策略针对回归类型的模型

config_examples/config_freqai.okx.json

@@ -67,7 +67,7 @@
         "freqaimodel": "CatboostClassifier",
         "purge_old_models": 2,
         "train_period_days": 15,
-        "identifier": "test2",
+        "identifier": "test18",
         "train_period_days": 30,
         "backtest_period_days": 10,
         "live_retrain_hours": 0,

docker-compose.yml

@@ -43,11 +43,11 @@ services:
     command: >
       backtesting
         --logfile /freqtrade/user_data/logs/freqtrade.log
-        --freqaimodel LightGBMClassifier
+        --freqaimodel XGBoostRegressor
         --config /freqtrade/config_examples/config_freqai.okx.json
         --strategy-path /freqtrade/templates
         --strategy FreqaiExampleStrategy
-        --timerange 20250301-20250420
+        --timerange 20250320-20250420
         --export trades
 
 

freqtrade/templates/FreqaiExampleStrategy.py

@@ -77,7 +77,7 @@ class FreqaiExampleStrategy(IStrategy):
 
         dataframe["%-rsi-period"] = ta.RSI(dataframe, timeperiod=period)
         dataframe["%-mfi-period"] = ta.MFI(dataframe, timeperiod=period)
-        dataframe["%-adx-period"] = ta.ADX(dataframe, timeperiod=period)
+        #dataframe["%-adx-period"] = ta.ADX(dataframe, timeperiod=period)
         dataframe["%-sma-period"] = ta.SMA(dataframe, timeperiod=period)
         dataframe["%-ema-period"] = ta.EMA(dataframe, timeperiod=period)