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Finance | Skills Pool

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Finance

Track stocks, ETFs, indices, crypto (where available), and FX pairs with caching + provider fallbacks.

openclaw4,189 Sterne02.02.2026

Beruf: Finanz- und Investmentanalysten
Kategorien: Finanzen & Investitionen

Skill-Inhalt

Market Tracker Skill

This skill helps you fetch latest quotes and historical series for:

Stocks / ETFs / Indices (e.g., AAPL, MSFT, ^GSPC, VOO)
FX pairs (e.g., USD/ZAR, EURUSD, GBP-JPY)
Crypto tickers supported by the chosen provider (best-effort)

It is optimized for:

fast “what’s the price now?” queries
lightweight tracking with a local watchlist
caching to avoid rate-limits

When to use

Use this skill when the user asks:

“What’s the latest price of ___?”
“Track ___ and ___ and show me daily changes.”
“Give me a 30-day series for ___.”
“Convert USD to ZAR (or track USD/ZAR).”
“Maintain a watchlist and summarize performance.”

Provider strategy (important)

Stocks/ETFs/indices default: Yahoo Finance via (no key, broad coverage), but it is unofficial and can rate-limit.

Verwandte Skills

Schnellinstallation

Finance

npx skillvault add openclaw/openclaw-skills-skills-anton-roos-finance-skill-md

Skill herunterladen Repository öffnen

Autor: openclaw
Sterne: 4,189
Aktualisiert: 02.02.2026
Beruf

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01Market Tracker Skill

yfinance

FX default: ExchangeRate-API Open Access endpoint (no key, daily update).

If the user needs high-frequency or many symbols, recommend adding a paid provider later.

See providers.md for details and symbol formats.

Quick start (how you run it)

These scripts are intended to be run from a terminal. The agent should:

ensure dependencies installed
run the scripts
summarize results cleanly

Install:

python -m venv .venv && source .venv/bin/activate (or Windows equivalent)
pip install -r requirements.txt

Commands

1) Latest quote (stock/ETF/index)

Examples:

python scripts/market_quote.py AAPL
python scripts/market_quote.py ^GSPC
python scripts/market_quote.py VOO

2) Latest FX rate

Examples:

python scripts/market_quote.py USD/ZAR
python scripts/market_quote.py EURUSD
python scripts/market_quote.py GBP-JPY

3) Historical series (CSV to stdout)

Examples:

python scripts/market_series.py AAPL --days 30
python scripts/market_series.py USD/ZAR --days 30

4) Watchlist summary (local file)

Add tickers: python scripts/market_watchlist.py add AAPL MSFT USD/ZAR
Remove: python scripts/market_watchlist.py remove MSFT
Show summary: python scripts/market_watchlist.py summary

Output expectations (what you should return to the user)

For quotes: price, change %, timestamp/source, and any caveats (like “FX updates daily”).
For series: confirm date range, number of points, and show a small preview (first/last few rows).
If rate-limited: explain what happened and retry with backoff OR advise to reduce frequency.

Safety / correctness

Never claim “real-time” unless the provider is truly real-time. FX open access updates daily.
Always cache responses and throttle repeated calls.
If Yahoo blocks requests, propose a paid provider or increase cache TTL.

02

When to use

03Provider strategy (important)

04Quick start (how you run it)

061) Latest quote (stock/ETF/index)

072) Latest FX rate

083) Historical series (CSV to stdout)

094) Watchlist summary (local file)

10Output expectations (what you should return to the user)

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