finance

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

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skill

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Last updated: April 23, 2026

AI Skill Market Insights

Real data. Real impact.

Popularity

Rising

Emerging

Active Users

Developers

Quick Start

Manual Installation

No automatic installation available. Please visit the source repository for installation instructions.

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TEAR & SHARE

3-5hrs/WK

RISING

0.0K+ USING

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:

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.

finance

AI Skill Market Insights

Quick Start

Manual Installation

TEAR & SHARE

Tags

dbt Unit Tests (dbt Labs)

Be Part of the 0+ Developer Community

Market Tracker Skill

When to use

Provider strategy (important)

Quick start (how you run it)

Commands

1) Latest quote (stock/ETF/index)

2) Latest FX rate

3) Historical series (CSV to stdout)

4) Watchlist summary (local file)

Output expectations (what you should return to the user)

Safety / correctness

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Amplitude Analytics Instrumentation

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