Shift adaptive learning to growth sizing
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@@ -72,6 +72,7 @@ class Settings:
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learning_lookback_trades: int
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learning_min_samples: int
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learning_max_adjustment: float
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learning_max_position_multiplier: float
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llm_advisor_enabled: bool
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ollama_base_url: str
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ollama_model: str
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@@ -195,6 +196,7 @@ def load_settings(env_file: str | Path | None = None) -> Settings:
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learning_lookback_trades=_int_env("LEARNING_LOOKBACK_TRADES", 120),
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learning_min_samples=_int_env("LEARNING_MIN_SAMPLES", 3),
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learning_max_adjustment=_float_env("LEARNING_MAX_ADJUSTMENT", 0.12),
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learning_max_position_multiplier=_float_env("LEARNING_MAX_POSITION_MULTIPLIER", 1.6),
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llm_advisor_enabled=_bool_env("LLM_ADVISOR_ENABLED", False),
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ollama_base_url=os.getenv("OLLAMA_BASE_URL", "http://192.168.0.210:11434").rstrip("/"),
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ollama_model=os.getenv("OLLAMA_MODEL", "gemma4:e4b"),
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