feat: ticker search, watchlist momentum column, alpha vs S&P 500
Three usability fixes: 1. Global ticker search in the sidebar (TickerSearch) — typeahead over the tracked universe that opens a ticker's detail page without adding it to the watchlist. Also wired into the mobile nav. 2. Watchlist table shows the ticker's 12-1 momentum percentile (the top-pick selector) instead of the noisy full S/R-level list. Enriched from the setup already loaded in watchlist_service._enrich_entry — no extra query. 3. Alpha vs the S&P 500 on paper trades (open + closed). New benchmark_prices table + benchmark_service store SPY daily closes (a standalone series, not a Ticker, so it never enters the scanner / momentum ranking / rankings) via a new daily-pipeline step. paper_trade_service computes per-trade benchmark_return / alpha_pct / alpha_usd over each holding period; the open- trades table, dashboard, and closed-trades panel surface per-trade and total alpha. The list read path never makes a provider call. Deploy: alembic upgrade head, then run the benchmark/daily job once to populate SPY closes (alpha shows "—" until then). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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@@ -60,6 +60,25 @@ async def _make_ticker(session, symbol: str, *, score: float | None = None) -> i
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return t.id
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async def test_enrich_includes_momentum_percentile(session):
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"""The watchlist row carries the ticker's momentum percentile (from its setup),
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which replaces the old S/R-levels column in the UI."""
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from app.models.trade_setup import TradeSetup
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user_id = await _make_user(session)
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tid = await _make_ticker(session, "AAA", score=70.0)
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session.add(TradeSetup(
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ticker_id=tid, direction="long", entry_price=100.0, stop_loss=95.0,
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target=110.0, rr_ratio=2.0, composite_score=70.0,
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momentum_percentile=88.0, detected_at=datetime.now(timezone.utc),
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))
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await session.commit()
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await add_manual_entry(session, user_id, "AAA")
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rows = await get_watchlist(session, user_id)
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assert rows[0]["momentum_percentile"] == 88.0
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async def test_add_and_remove_sticks(session):
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user_id = await _make_user(session)
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await _make_ticker(session, "AAA", score=80.0)
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