TEST_SIZE = 0.1
EXTREMA_COLUMN = "&s-extrema"
-MINIMA_THRESHOLD_COLUMN = "&s-minima_threshold"
MAXIMA_THRESHOLD_COLUMN = "&s-maxima_threshold"
+MINIMA_THRESHOLD_COLUMN = "&s-minima_threshold"
warnings.simplefilter(action="ignore", category=FutureWarning)
label_period_candles: int,
) -> tuple[float, float]:
temperature = float(
- self.freqai_info.get("prediction_thresholds_temperature", 250.0)
+ self.freqai_info.get("prediction_thresholds_temperature", 280.0)
)
extrema = pred_df.get(EXTREMA_COLUMN).iloc[
-(
logger = logging.getLogger(__name__)
EXTREMA_COLUMN = "&s-extrema"
-MINIMA_THRESHOLD_COLUMN = "&s-minima_threshold"
MAXIMA_THRESHOLD_COLUMN = "&s-maxima_threshold"
+MINIMA_THRESHOLD_COLUMN = "&s-minima_threshold"
class QuickAdapterV3(IStrategy):
"train_rmse": {"color": "#a3087a", "type": "line"},
},
"extrema": {
+ MAXIMA_THRESHOLD_COLUMN: {"color": "#e6be0b", "type": "line"},
EXTREMA_COLUMN: {"color": "#f53580", "type": "line"},
MINIMA_THRESHOLD_COLUMN: {"color": "#4ae747", "type": "line"},
- MAXIMA_THRESHOLD_COLUMN: {"color": "#e6be0b", "type": "line"},
},
"min_max": {
"maxima": {"color": "#0dd6de", "type": "bar"},