Add trade setup outcome tracking and performance stats
Closes the feedback loop on R:R scanner signals: - Nightly outcome_evaluator job replays unresolved setups against daily OHLCV bars: target_hit / stop_hit / ambiguous (same-bar, counted as loss) / expired after OUTCOME_EVALUATION_MAX_BARS (default 30) - Migration 004: evaluated_at + outcome_date on trade_setups - GET /trades/performance: hit rate, expectancy (avg R), total R with breakdowns by direction, recommended action, and confidence bucket - New Performance page (stat cards, breakdown tables, Evaluate Now, methodology disclosure) wired into sidebar and mobile nav - 17 new unit tests for evaluation logic and stats aggregation Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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@@ -6,6 +6,7 @@ from sqlalchemy.ext.asyncio import AsyncSession
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from app.dependencies import get_db, require_access
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from app.schemas.common import APIEnvelope
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from app.schemas.trade_setup import RecommendationSummaryResponse, TradeSetupResponse
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from app.services.outcome_service import get_performance_stats
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from app.services.rr_scanner_service import get_trade_setup_history, get_trade_setups
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router = APIRouter(tags=["trades"])
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@@ -48,6 +49,20 @@ async def list_trade_setups(
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return APIEnvelope(status="success", data=data)
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@router.get("/trades/performance", response_model=APIEnvelope)
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async def get_trade_performance(
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_user=Depends(require_access),
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db: AsyncSession = Depends(get_db),
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) -> APIEnvelope:
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"""Aggregate outcome statistics over evaluated trade setups.
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Outcomes are written by the nightly outcome_evaluator job (win = target
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hit first, loss = stop hit first, expired = neither within the window).
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"""
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stats = await get_performance_stats(db)
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return APIEnvelope(status="success", data=stats)
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@router.get("/trades/{symbol}", response_model=APIEnvelope)
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async def get_ticker_trade_setups(
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symbol: str,
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