eli-alvarado/us-watchlist-alerts

watchlist-brief

Produce a concise pre-market (morning) or after-close summary of a US stock watchlist - price and % change, RSI, trend, distance to stop and targets, biggest movers, upcoming earnings, and any alerts.

Quelltext ansehen

Verwendung

  1. Installationsbefehl kopieren und das Quellpaket vor der Installation in der eigenen Agentenumgebung prüfen.
  2. Benötigte Werkzeuge, Zugangsdaten und Hosts im Original prüfen.
  3. Eingabe und gewünschtes Ergebnis beschreiben und die Ausgabe mit den Quellen abgleichen.
npx skills add https://github.com/eli-alvarado/us-watchlist-alerts --skill watchlist-brief

Vor dem Start

  • Die Installation umfasst weder Modellabo noch API-Kontingent oder Dateizugriffsrechte.
  • Sterne und Installationen zeigen Aktivität, keine unabhängige Qualitäts- oder Sicherheitsprüfung.
Originales Skill-Dokument

Aus dem Quell-Repository gerendert; Überschriften, Beispiele, Code, Tabellen, Links und Bilder bleiben erhalten.

Watchlist Brief (morning / close)

Informational summary only - not financial advice; no trade suggestions or order placement.

Steps

scripts/ ships next to this SKILL.md after npx skills add. Run from this skill folder, or from a git clone.

  1. Determine context with python3 scripts/market_calendar.py. Morning brief ~08:30-09:25 ET; close brief after 16:05 ET. On holidays/weekends, say the market is closed and give the next session. After the bell the alerter evaluates last regular close and labels it — do the same in the brief.
  2. Generate the table: python3 scripts/brief.py --kind morning (or --kind close). Columns: Ticker | Price | Chg | RSI14 | Trend (SMA50 vs SMA200) | To stop | To target 1. "To stop" is remaining cushion (positive = room left); shorts use stop-minus-price. Earnings dates in the footer are upcoming only (Yahoo calendar/HTML, Nasdaq analyst page, then Finnhub/AV if keyed).
  3. Run python3 scripts/alerts.py --dry-run --format json to list conditions currently true without consuming cooldowns; mention notable ones. After hours this uses last regular close (no --force-session). Use --force-session only on weekends/holidays if you still want to evaluate.
  4. Optionally add 1 headline per ticker that moved > 3% or has earnings within 7 days (web search, or tickertick/news tools if available). Cite sources; never fabricate news.
  5. Write the brief:
  • Headline (one sentence: the overall picture of the list).
  • The table.
  • Watch today / tomorrow: earnings, tickers within 3% of stop or target, gap moves.
  • Data source + delay note, and "Informational only - not financial advice."

Keep it under ~250 words unless asked for more.

Morning vs close

  • Morning: use prior close as baseline; mention pre-market moves only if the data source returns them (label as pre-market).
  • Close: day's change, closing levels vs stops/targets, anything that triggered today, what's on tomorrow's calendar.

Tone

Neutral and factual: "TSLA is 2.1% above its stop" - not "you should sell TSLA".

Verwandte Aufgaben

aus demselben Repository

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