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 yfinance (no key, broad coverage), but it is unofficial and can rate-limit.

• 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: 1) ensure dependencies installed 2) run the scripts 3) 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.