Skill Details
Back to Skills

/modular-market-brief

by boilerrat

Generate modular, data-backed market reports (AM/PM) across global assets. Use for daily market briefs, premarket/aftermarket summaries, cross-asset dashboards, sector/asset trend tables, top movers (

View on GitHub

Modular Market Brief

Create a concise but information-dense market report that is modular (can include/exclude sections) and data-backed (prices/returns/trend state when possible).

Inputs to ask for (or assume defaults)

  • Time window: AM (since prior close) vs PM (what changed since AM)
  • Regions: e.g., US, Canada, EU, Asia (user chooses)
  • Asset blocks: equities, rates, FX, commodities, crypto
  • Core tickers: indices + user’s preferred ETFs/tickers
  • Movers source: which exchange/market and where to get movers
  • Risk appetite: conservative vs aggressive framing

If the user doesn’t specify, default to a broad global dashboard with US indices, USD, oil, gold, BTC/ETH.

Report structure (recommended)

  1. TL;DR (3–6 bullets)
  2. Equities (by region)
  3. Rates (2Y/10Y + key central bank watch)
  4. FX (DXY or major pairs; local pair for user)
  5. Commodities (WTI/Brent, gold, copper; add relevant)
  6. Crypto (BTC/ETH + anything user cares about)
  7. Top movers (top gainers/losers for a chosen exchange)
  8. Patterns / trend box (BUY/SELL/WAIT labels for selected instruments)
  9. One best idea (cross-asset; include invalidation)

Data guidance

Prefer programmatic price tape when available:

  • Use yfinance for tickers/ETFs/crypto/commodity futures (optional dependency).
  • If a market needs a dedicated movers list, use a web source (exchange site / finance portal) and then enrich tickers via yfinance.

Installing yfinance (recommended, but not required)

If yfinance isn’t available, the skill can still produce a narrative brief from public sources.

For reliable installs on modern Linux distros (PEP 668), prefer a venv:

python3 -m venv ~/.venvs/market-brief
~/.venvs/market-brief/bin/pip install -U pip
~/.venvs/market-brief/bin/pip install yfinance pandas numpy

Then run scripts using ~/.venvs/market-brief/bin/python.

Trend labeling (simple + explainable)

Use MA/RSI-based state labels:

  • BUY: close > MA20 > MA50 and RSI(14) >= 50
  • SELL: close < MA20 < MA50 and RSI(14) <= 50
  • WAIT: everything else

Always present it as a pattern (not a guarantee) and include a one-line rationale.

Bundled scripts (optional helpers)

  • scripts/price_tape.py: pull prices + returns + MA/RSI for a ticker list (yfinance)
  • scripts/movers_yahoo.py: free Yahoo Finance screeners for top gainers/losers/actives (best-effort)
  • scripts/tmx_movers.py: example movers scraper (TMX Money) you can adapt or swap
  • scripts/render_example.md: a template you can reuse

Only run scripts if you actually need structured output; otherwise write the report directly.

Safety / finance guardrails

  • Don’t place trades.
  • Avoid certainty language. Use “pattern / bias / invalidation.”
  • If the user asks for explicit buy/sell instructions, provide a conceptual plan + risks.
  • Remind about tax/fees only when relevant.