refactor(qav3): trivial cleanup

Signed-off-by: Jérôme Benoit <jerome.benoit@piment-noir.org>

diff --git a/quickadapter/user_data/freqaimodels/LightGBMRegressorQuickAdapterV35.py b/quickadapter/user_data/freqaimodels/LightGBMRegressorQuickAdapterV35.py
index 0de8167d75a09f79dc2630dcca5971a3958820de..8e71c3c5d320698acc535c8d7e4fe10aff5cacc6 100644 (file)
--- a/quickadapter/user_data/freqaimodels/LightGBMRegressorQuickAdapterV35.py
+++ b/quickadapter/user_data/freqaimodels/LightGBMRegressorQuickAdapterV35.py
@@ -176,8 +176,8 @@ class LightGBMRegressorQuickAdapterV35(BaseRegressionModel):
         )
 
         if not warmed_up:
-            dk.data["extra_returns_per_train"][MAXIMA_THRESHOLD_COLUMN] = 2
             dk.data["extra_returns_per_train"][MINIMA_THRESHOLD_COLUMN] = -2
+            dk.data["extra_returns_per_train"][MAXIMA_THRESHOLD_COLUMN] = 2
         else:
             if self.__optuna_hyperopt:
                 label_period_candles = self.__optuna_period_params.get(pair, {}).get(

diff --git a/quickadapter/user_data/freqaimodels/XGBoostRegressorQuickAdapterV35.py b/quickadapter/user_data/freqaimodels/XGBoostRegressorQuickAdapterV35.py
index 6618be3b91503dacb494227ddd156c206a5e6c7e..65e1ffe91dba53736bcf3a689cbfef941fb22ecb 100644 (file)
--- a/quickadapter/user_data/freqaimodels/XGBoostRegressorQuickAdapterV35.py
+++ b/quickadapter/user_data/freqaimodels/XGBoostRegressorQuickAdapterV35.py
@@ -177,8 +177,8 @@ class XGBoostRegressorQuickAdapterV35(BaseRegressionModel):
         )
 
         if not warmed_up:
-            dk.data["extra_returns_per_train"][MAXIMA_THRESHOLD_COLUMN] = 2
             dk.data["extra_returns_per_train"][MINIMA_THRESHOLD_COLUMN] = -2
+            dk.data["extra_returns_per_train"][MAXIMA_THRESHOLD_COLUMN] = 2
         else:
             if self.__optuna_hyperopt:
                 label_period_candles = self.__optuna_period_params.get(pair, {}).get(