8c27473fed
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Generate per-market daily scorecards from decision_logs and trades, optional Gemini-powered lessons, and store results in L6 context. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
24 lines
645 B
Python
24 lines
645 B
Python
"""Evolution engine for self-improving trading strategies."""
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from src.evolution.ab_test import ABTester, ABTestResult, StrategyPerformance
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from src.evolution.daily_review import DailyReviewer
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from src.evolution.optimizer import EvolutionOptimizer
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from src.evolution.performance_tracker import (
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PerformanceDashboard,
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PerformanceTracker,
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StrategyMetrics,
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)
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from src.evolution.scorecard import DailyScorecard
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__all__ = [
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"EvolutionOptimizer",
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"ABTester",
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"ABTestResult",
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"StrategyPerformance",
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"PerformanceTracker",
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"PerformanceDashboard",
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"StrategyMetrics",
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"DailyScorecard",
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"DailyReviewer",
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]
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