From: Jérôme Benoit <jerome.benoit@piment-noir.org>
Date: Tue, 11 Mar 2025 10:50:11 +0000 (+0100)
Subject: refactor(qav3): code formatting
X-Git-Url: https://git.piment-noir.org/?a=commitdiff_plain;h=d83bdac5cf9724caccee63996e5d302cab5b788e;p=freqai-strategies.git

refactor(qav3): code formatting

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 561f619..156bb91 100644
--- a/quickadapter/user_data/freqaimodels/LightGBMRegressorQuickAdapterV35.py
+++ b/quickadapter/user_data/freqaimodels/LightGBMRegressorQuickAdapterV35.py
@@ -145,9 +145,7 @@ class LightGBMRegressorQuickAdapterV35(BaseRegressionModel):
                     "label_period_candles"
                 ] = self.__optuna_period_params[dk.pair].get("label_period_candles")
 
-        model = LGBMRegressor(
-            objective="regression", **model_training_parameters
-        )
+        model = LGBMRegressor(objective="regression", **model_training_parameters)
 
         eval_set, eval_weights = self.eval_set_and_weights(X_test, y_test, test_weights)
 
@@ -575,9 +573,7 @@ def period_objective(
     test_weights = test_weights[-test_window:]
 
     # Fit the model
-    model = LGBMRegressor(
-        objective="regression", **model_training_parameters
-    )
+    model = LGBMRegressor(objective="regression", **model_training_parameters)
     model.fit(
         X=X,
         y=y,
@@ -629,9 +625,7 @@ def hp_objective(
     model_training_parameters = {**model_training_parameters, **study_parameters}
 
     # Fit the model
-    model = LGBMRegressor(
-        objective="regression", **model_training_parameters
-    )
+    model = LGBMRegressor(objective="regression", **model_training_parameters)
     model.fit(
         X=X,
         y=y,
diff --git a/quickadapter/user_data/strategies/QuickAdapterV3.py b/quickadapter/user_data/strategies/QuickAdapterV3.py
index 7c8693d..28836da 100644
--- a/quickadapter/user_data/strategies/QuickAdapterV3.py
+++ b/quickadapter/user_data/strategies/QuickAdapterV3.py
@@ -204,9 +204,8 @@ class QuickAdapterV3(IStrategy):
             dataframe["vwap_upperband"],
         ) = VWAPB(dataframe, 20, 1)
         dataframe["%-vwap_width"] = (
-            (dataframe["vwap_upperband"] - dataframe["vwap_lowerband"])
-            / dataframe["vwap_middleband"]
-        )
+            dataframe["vwap_upperband"] - dataframe["vwap_lowerband"]
+        ) / dataframe["vwap_middleband"]
         dataframe["%-dist_to_vwap_upperband"] = get_distance(
             dataframe["close"], dataframe["vwap_upperband"]
         )