feat: ticker search, watchlist momentum column, alpha vs S&P 500
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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>
This commit is contained in:
2026-06-28 08:44:40 +02:00
parent 4a96f85cd9
commit 30effa89b7
21 changed files with 506 additions and 31 deletions
+2
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@@ -11,6 +11,7 @@ from app.models.settings import SystemSetting, IngestionProgress
from app.models.alert import AlertLog
from app.models.paper_trade import PaperTrade
from app.models.regime_snapshot import RegimeSnapshot
from app.models.benchmark_price import BenchmarkPrice
__all__ = [
"Ticker",
@@ -28,4 +29,5 @@ __all__ = [
"AlertLog",
"PaperTrade",
"RegimeSnapshot",
"BenchmarkPrice",
]
+25
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@@ -0,0 +1,25 @@
from datetime import date as date_type
from sqlalchemy import Date, Float, String, UniqueConstraint
from sqlalchemy.orm import Mapped, mapped_column
from app.database import Base
class BenchmarkPrice(Base):
"""Daily close for a benchmark index (e.g. SPY), used to compute trade alpha.
A standalone price series, deliberately NOT a tracked ``Ticker`` — so the
benchmark never enters the scanner, the momentum-percentile ranking, or the
rankings table. One row per (symbol, date).
"""
__tablename__ = "benchmark_prices"
__table_args__ = (
UniqueConstraint("symbol", "date", name="uq_benchmark_symbol_date"),
)
id: Mapped[int] = mapped_column(primary_key=True)
symbol: Mapped[str] = mapped_column(String(20), nullable=False, index=True)
date: Mapped[date_type] = mapped_column(Date, nullable=False)
close: Mapped[float] = mapped_column(Float, nullable=False)