chore(qav3): sensible default configuration

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

diff --git a/quickadapter/user_data/config-template.json b/quickadapter/user_data/config-template.json
index 589d5b5b2e64dbe97e2e01987ea5a432839eac1f..7d2bdc36775f488c938adf27920b278a09519566 100644 (file)
--- a/quickadapter/user_data/config-template.json
+++ b/quickadapter/user_data/config-template.json
@@ -154,6 +154,11 @@
         // "1d"
       ],
       "label_period_candles": 100,
+      "label_metric": "euclidean",
+      "label_weights": [
+        0.25,
+        0.75
+      ],
       "include_shifted_candles": 6,
       "DI_threshold": 10,
       "weight_factor": 0.9,

diff --git a/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py b/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py
index ba530657974d28eaabdb802f4bed3703b563e896..244f0cdecfa66389711773a2b27dbb44caa40b99 100644 (file)
--- a/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py
+++ b/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py
@@ -1532,7 +1532,7 @@ def label_objective(
         max_label_period_candles,
         step=candles_step,
     )
-    label_natr_ratio = trial.suggest_float("label_natr_ratio", 5.0, 15.0, step=0.01)
+    label_natr_ratio = trial.suggest_float("label_natr_ratio", 4.0, 14.0, step=0.01)
 
     df = df.iloc[
         -(