Price History

Pulls OHLCV data from Yahoo Finance for any stock symbol with configurable periods and intervals. You get open, high, low, close, and volume in a JSON array, which is exactly what you need if someone asks to see how a stock performed over the last month or you want to feed data into a charting analysis. Supports everything from 1-minute intervals to monthly bars, and periods ranging from one day to max history. All timestamps come in New York time, which matters when you're dealing with market data. It's straightforward wrapper around yfinance, so you're getting whatever Yahoo Finance has, with the usual caveats about data quality and delays.

GitHub stars: 248
last updated: Jun 11, 2026

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Install

$ npx -y skills add staskh/trading_skills --skill price-history --agent claude-code

Installs into .claude/skills of the current project.

Files

Price History

Fetch historical OHLCV data from Yahoo Finance.

Instructions

Note: If uv is not installed or pyproject.toml is not found, replace uv run python with python in all commands below.

uv run python scripts/history.py SYMBOL [--period PERIOD] [--interval INTERVAL]

Arguments

SYMBOL - Ticker symbol
--period - Time period: 1d, 5d, 1mo, 3mo, 6mo, 1y, 2y, 5y, 10y, ytd, max (default: 1mo)
--interval - Data interval: 1m, 2m, 5m, 15m, 30m, 60m, 90m, 1h, 1d, 5d, 1wk, 1mo (default: 1d)

Output

Returns JSON with:

symbol - Ticker
period - Requested period
interval - Data interval
data - Array of {date, open, high, low, close, volume}

Summarize key price movements, highs/lows, and trends.

Dependencies

yfinance

Timezone

All timestamps and time-based calculations must use the America/New_York timezone. All JSON output must include generated_at (NY time string) and data_delay fields.

SKILL.md on GitHub