Modular Market Brief

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name: modular-market-brief

description: 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 (gainers/losers) blocks, and a single best-idea wrap-up. Designed to be region-agnostic and configurable (tickers/regions/assets).

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# 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)

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:

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:

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

Bundled scripts (optional helpers)

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

Safety / finance guardrails