| reversal_confirmation.lookback_period | 0 | int >= 0 | Prior confirming candles; 0 = none. |
| reversal_confirmation.decay_ratio | 0.5 | float (0,1] | Geometric per-candle relaxation factor. |
| reversal_confirmation.min_natr_ratio_percent | 0.0099 | float [0,1] | Lower bound fraction for volatility adjusted reversal threshold. |
-| reversal_confirmation.max_natr_ratio_percent | 0.4 | float [0,1] | Upper bound fraction (>= lower bound) for volatility adjusted reversal threshold. |
+| reversal_confirmation.max_natr_ratio_percent | 0.33 | float [0,1] | Upper bound fraction (>= lower bound) for volatility adjusted reversal threshold. |
| _Regressor model_ | | | |
| freqai.regressor | `xgboost` | enum {`xgboost`,`lightgbm`} | Machine learning regressor algorithm. |
| _Extrema smoothing_ | | | |
stoploss = -0.02
use_custom_stoploss = True
- order_types = {
- "entry": "limit",
- "exit": "limit",
- "emergency_exit": "limit",
- "force_exit": "limit",
- "force_entry": "limit",
- "stoploss": "limit",
- "stoploss_on_exchange": False,
- "stoploss_on_exchange_interval": 60,
- "stoploss_on_exchange_limit_ratio": 0.99,
- }
-
default_exit_thresholds: dict[str, float] = {
"k_decl_v": 0.6,
"k_decl_a": 0.4,
"lookback_period": 0,
"decay_ratio": 0.5,
"min_natr_ratio_percent": 0.0099,
- "max_natr_ratio_percent": 0.4,
+ "max_natr_ratio_percent": 0.33,
}
position_adjustment_enable = True