dennisthiessen
30effa89b7
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>
26 lines
921 B
Python
26 lines
921 B
Python
from datetime import date as date_type
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from sqlalchemy import Date, Float, String, UniqueConstraint
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from sqlalchemy.orm import Mapped, mapped_column
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from app.database import Base
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class BenchmarkPrice(Base):
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"""Daily close for a benchmark index (e.g. SPY), used to compute trade alpha.
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A standalone price series, deliberately NOT a tracked ``Ticker`` — so the
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benchmark never enters the scanner, the momentum-percentile ranking, or the
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rankings table. One row per (symbol, date).
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"""
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__tablename__ = "benchmark_prices"
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__table_args__ = (
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UniqueConstraint("symbol", "date", name="uq_benchmark_symbol_date"),
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)
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id: Mapped[int] = mapped_column(primary_key=True)
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symbol: Mapped[str] = mapped_column(String(20), nullable=False, index=True)
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date: Mapped[date_type] = mapped_column(Date, nullable=False)
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close: Mapped[float] = mapped_column(Float, nullable=False)
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