refactor(quickadapter): disambiguate label_period_candles vs label_horizon_candles

Three distinct issues addressed together for terminology coherence
and operator visibility.

(1) README: replace "NATR horizon" by "NATR period" in the four rows
documenting `label_period_candles` / `min_label_period_candles` /
`max_label_period_candles` / `label_candles_step`. The noun
"horizon" was also the noun in `label_horizon_candles`, which has
the opposite temporal direction (lookahead causal-split guard vs
lookback NATR period). "NATR period" matches both the tunable name
(`label_period_candles`) and the underlying API
(`ta.NATR(..., timeperiod=label_period_candles)`).

(2) `QuickAdapterV3.set_freqai_targets`: rename the local
`label_period` (a `datetime.timedelta` spanning
`len(dataframe) * timeframe_minutes`) to `series_duration`, and
update the two log labels (`label_period: 3 days, 12:00:00` →
`series_duration: 3 days, 12:00:00`). The previous name collided
with `label_period_candles` (an int candle count) at the operator
log level; `series_duration` matches the sibling `series_length`
(an int) declared two lines below.

(3) `QuickAdapterRegressorV3.__init__` startup dump: add
`label_horizon_candles` to the "Label Parameters:" section (both
HPO-enabled and HPO-disabled branches). The parameter is a
training-time data-split lookahead (causal split guards in
`_make_train_test_split_datasets` / `_make_timeseries_split_datasets`),
NOT an HPO hyperparameter — it is neither sampled
(`trial.suggest_int`) nor bounded (`min/max_*`) nor an HPO input to
`label_objective`. Placing it in "Label Parameters:" (runtime
values) rather than "Label Hyperparameters:" (HPO config) matches
its actual semantics. In the HPO-on branch the global value is
emitted before the per-pair loop to visually distinguish it; in the
HPO-off branch it trails the existing global lines so the natural
order is `label_period_candles` → `label_natr_multiplier` →
`label_horizon_candles` (the latter falls back to the former when
unset).

diff --git a/README.md b/README.md
index bd3a1f8fd724f00bad7e54ede02e34a006b01f44..9b823ea99d3ba683e38f8996b00dd402096021c1 100644 (file)
--- a/README.md
+++ b/README.md
@@ -100,11 +100,11 @@ docker compose up -d --build
 | freqai.label_pipeline.sigmoid_scale                            | 1.0                           | float > 0                                                                                                                                                                                                    | Scale parameter for `sigmoid` normalization, controls steepness.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           |
 | freqai.label_pipeline.gamma                                    | 1.0                           | float (0,10]                                                                                                                                                                                                 | Contrast exponent applied to labels after normalization: >1 emphasizes extrema, values between 0 and 1 soften.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             |
 | _Feature parameters_                                           |                               |                                                                                                                                                                                                              |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            |
-| freqai.feature_parameters.label_period_candles                 | min/max midpoint              | int >= 1                                                                                                                                                                                                     | Zigzag labeling NATR horizon.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              |
+| freqai.feature_parameters.label_period_candles                 | min/max midpoint              | int >= 1                                                                                                                                                                                                     | Zigzag labeling NATR period.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               |
 | freqai.feature_parameters.label_horizon_candles                | `label_period_candles`        | int >= 1                                                                                                                                                                                                     | Number of candles after a label row before the label is considered known by causal split guards. Recommended: cover the zigzag pivot confirmation lag (the smoothing kernel half-width is added automatically by `set_freqai_targets`). Used by causal split guards and `<label>_known_at_lookahead` metadata. When unset, falls back to `label_period_candles`.                                                                                                                                                                                                                                           |
 | freqai.feature_parameters.causal_mode                          | true                          | bool                                                                                                                                                                                                         | Causal split guard toggle. When `true` (default): rejects `data_split_parameters.shuffle=true`, `shuffle_after_split=true`, `reverse_train_test_order=true`; for `timeseries_split` auto-sets `gap=label_horizon_candles` when unset/`0` (rejects explicit `gap<label_horizon_candles`); for `train_test_split` drops train rows where position `>=first_test_position-label_horizon_candles`; with `<label>_known_at_lookahead` columns, additionally drops rows where `local_position + row-wise max(<label>_known_at_lookahead) >= first_test_position`. `false` is deprecated; acausal baselines only. |
-| freqai.feature_parameters.min_label_period_candles             | 12                            | int >= 1                                                                                                                                                                                                     | Minimum labeling NATR horizon used for reversals labeling HPO.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             |
-| freqai.feature_parameters.max_label_period_candles             | 24                            | int >= 1                                                                                                                                                                                                     | Maximum labeling NATR horizon used for reversals labeling HPO.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             |
+| freqai.feature_parameters.min_label_period_candles             | 12                            | int >= 1                                                                                                                                                                                                     | Minimum labeling NATR period used for reversals labeling HPO.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              |
+| freqai.feature_parameters.max_label_period_candles             | 24                            | int >= 1                                                                                                                                                                                                     | Maximum labeling NATR period used for reversals labeling HPO.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              |
 | freqai.feature_parameters.label_natr_multiplier                | min/max midpoint              | float > 0                                                                                                                                                                                                    | Zigzag labeling NATR multiplier.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           |
 | freqai.feature_parameters.min_label_natr_multiplier            | 9.0                           | float > 0                                                                                                                                                                                                    | Minimum labeling NATR multiplier used for reversals labeling HPO.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          |
 | freqai.feature_parameters.max_label_natr_multiplier            | 12.0                          | float > 0                                                                                                                                                                                                    | Maximum labeling NATR multiplier used for reversals labeling HPO.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          |
@@ -140,7 +140,7 @@ docker compose up -d --build
 | freqai.optuna_hyperopt.n_trials                                | 50                            | int >= 1                                                                                                                                                                                                     | Maximum HPO trials.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        |
 | freqai.optuna_hyperopt.n_jobs                                  | CPU threads / 4               | int >= 1                                                                                                                                                                                                     | Parallel HPO workers.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      |
 | freqai.optuna_hyperopt.timeout                                 | 7200                          | int >= 0                                                                                                                                                                                                     | HPO wall-clock timeout in seconds.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         |
-| freqai.optuna_hyperopt.label_candles_step                      | 1                             | int >= 1                                                                                                                                                                                                     | Step for Zigzag NATR horizon `label` search space.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         |
+| freqai.optuna_hyperopt.label_candles_step                      | 1                             | int >= 1                                                                                                                                                                                                     | Step for Zigzag NATR period `label` search space.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          |
 | freqai.optuna_hyperopt.space_reduction                         | false                         | bool                                                                                                                                                                                                         | Enable/disable `hp` search space reduction based on previous best parameters.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              |
 | freqai.optuna_hyperopt.space_fraction                          | 0.4                           | float [0,1]                                                                                                                                                                                                  | Fraction of the `hp` search space to use with `space_reduction`. Lower values create narrower search ranges around the best parameters.                                                                                                                                                                                                                                                                                                                                                                                                                                                                    |
 | freqai.optuna_hyperopt.min_resource                            | 3                             | int >= 1                                                                                                                                                                                                     | Minimum resource per [HyperbandPruner](https://optuna.readthedocs.io/en/stable/reference/generated/optuna.pruners.HyperbandPruner.html) rung.                                                                                                                                                                                                                                                                                                                                                                                                                                                              |

diff --git a/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py b/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py
index e49e1f321bb93ce0306bb61141cf10645ef1ab30..dd7b007de16b9cadabf208fa682651a6b74f0802 100644 (file)
--- a/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py
+++ b/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py
@@ -1605,6 +1605,7 @@ class QuickAdapterRegressorV3(BaseRegressionModel):
 
         if self._optuna_hyperopt:
             logger.info("Label Parameters:")
+            logger.info(f"  label_horizon_candles: {self._label_horizon_candles()}")
             for pair in self.pairs:
                 params = self._optuna_label_params.get(pair, {})
                 if params:
@@ -1618,6 +1619,7 @@ class QuickAdapterRegressorV3(BaseRegressionModel):
             logger.info(
                 f"  label_natr_multiplier: {format_number(label_natr_multiplier)}"
             )
+            logger.info(f"  label_horizon_candles: {self._label_horizon_candles()}")
 
         scaler = self.ft_params.get("scaler", QuickAdapterRegressorV3.SCALER_DEFAULT)
         feature_range = self.ft_params.get(

diff --git a/quickadapter/user_data/strategies/QuickAdapterV3.py b/quickadapter/user_data/strategies/QuickAdapterV3.py
index e362fbc88a7c07c8311fc96e73179a097c2415d6..e05177bcda9deac13d2e7263a404aaaec8f624b5 100644 (file)
--- a/quickadapter/user_data/strategies/QuickAdapterV3.py
+++ b/quickadapter/user_data/strategies/QuickAdapterV3.py
@@ -922,7 +922,7 @@ class QuickAdapterV3(IStrategy):
         self, dataframe: DataFrame, metadata: dict[str, Any], **kwargs
     ) -> DataFrame:
         pair = str(metadata.get("pair"))
-        label_period = datetime.timedelta(
+        series_duration = datetime.timedelta(
             minutes=len(dataframe) * self.timeframe_minutes
         )
 
@@ -936,11 +936,11 @@ class QuickAdapterV3(IStrategy):
 
             if len(label_data.indices) == 0:
                 logger.warning(
-                    f"[{pair}] No {label_col!r} labels | label_period: {QuickAdapterV3._td_format(label_period)} | params: {format_dict(label_params, style='params')}"
+                    f"[{pair}] No {label_col!r} labels | series_duration: {QuickAdapterV3._td_format(series_duration)} | params: {format_dict(label_params, style='params')}"
                 )
             else:
                 logger.info(
-                    f"[{pair}] {len(label_data.indices)} {label_col!r} labels | label_period: {QuickAdapterV3._td_format(label_period)} | params: {format_dict(label_params, style='params')}"
+                    f"[{pair}] {len(label_data.indices)} {label_col!r} labels | series_duration: {QuickAdapterV3._td_format(series_duration)} | params: {format_dict(label_params, style='params')}"
                 )
 
             col_weighting_config = get_label_column_config(