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- Add DailyScorecard dataclass with market-scoped fields - Fields: date, market, decisions, pnl, win_rate, scenario_match_rate, lessons, cross_market_note - Export from src/evolution/__init__.py Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
26 lines
641 B
Python
26 lines
641 B
Python
"""Daily scorecard model for end-of-day performance review."""
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from __future__ import annotations
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from dataclasses import dataclass, field
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@dataclass
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class DailyScorecard:
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"""Structured daily performance snapshot for a single market."""
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date: str
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market: str
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total_decisions: int
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buys: int
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sells: int
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holds: int
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total_pnl: float
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win_rate: float
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avg_confidence: float
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scenario_match_rate: float
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top_winners: list[str] = field(default_factory=list)
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top_losers: list[str] = field(default_factory=list)
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lessons: list[str] = field(default_factory=list)
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cross_market_note: str = ""
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