Calibrate Torch forecast thresholds

This commit is contained in:
Codex
2026-06-23 16:35:24 +03:00
parent 12f470e0a3
commit 13de641fe3
8 changed files with 778 additions and 9 deletions
+3 -1
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@@ -72,7 +72,9 @@ def make_settings():
time_series_forecast_enabled=True,
time_series_min_candles=120,
time_series_forecast_horizon=3,
time_series_min_edge_percent=0.04,
time_series_min_edge_percent=0.10,
time_series_min_probability_up=0.64,
time_series_min_confidence=0.72,
time_series_max_adjustment=0.08,
time_series_lstm_enabled=True,
time_series_lstm_model_path=tmp_path / "lstm_forecaster.json",
+2 -2
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@@ -252,8 +252,8 @@ def test_torch_forecast_buys_only_from_positive_torch_edge(make_settings, tmp_pa
forecast={
"usable": True,
"model": "torch_gru",
"expected_return_percent": 0.24,
"probability_up": 0.63,
"expected_return_percent": 0.36,
"probability_up": 0.66,
"skill": 0.22,
"block_entry": False,
},