Price History
Historical OHLCV price data for any stock from Yahoo Finance: pick the period and the interval, from one-minute bars to a decade of daily closes.
- What
- Historical OHLCV price data for any stock from Yahoo Finance: pick the period and the interval, from one-minute bars to a decade of daily closes.
- Cost
- Free
- Needs
- Use "Price History" with your Muse.
- Install
- Copy the installer prompt below into your Muse — your agent does the rest.
⚠️ **Trading warning / Avertissement trading** : informational only, not investment advice. Past prices describe what already happened; a clean historical trend is not a forecast, and trading on one carries a real risk of loss. No output here is a promise of return. Curated by Skill Harbor: historical OHLCV data (open, high, low, close, volume) for a stock, fetched from Yahoo Finance in the shape your question needs. The period runs from one day to the full available history (1d, 5d, 1mo, 3mo, 6mo, 1y, 2y, 5y, 10y, year to date, or max, with one month as the default) and the interval from one-minute bars to monthly bars (daily by default), returned as structured JSON with a date on every row. It is the raw material layer of this toolkit: the agent is told to read the series back as key movements, highs and lows, and trend, and the same data feeds chart work, back-of-envelope volatility checks, and the context for the scanner and risk skills listed alongside it. It runs as a Python script (scripts/history.py, needs yfinance) from the staskh/trading_skills repo, with timestamps in New York time and a data delay field stamped on the output. From the staskh/trading_skills repository (MIT). Honest caveats: Yahoo Finance history is free but unofficial, intraday intervals only reach back a limited number of days, splits and dividend adjustments can differ from your broker's series, and a one-minute series over a long period is a lot of rows to reason over, so match the interval to the question. Skill Harbor never reviews the code, review it yourself before use.
Version:
Install
Copy the install package below, then paste it into MuseThe install prompt below already includes the vetting steps: your agent follows the community checklist before installing anything with executable code. Want more?
Use "Price History" with your Muse. Prerequisites: clone the repo once (git clone https://github.com/staskh/trading_skills) and keep the folder handy; the skills live in .claude/skills/ and the scripts run from the repo with uv (uv run python), or with plain python if uv is not installed. This skill needs yfinance, installed through the repo project. No API key and no brokerage account are required; the data comes from Yahoo Finance via the free yfinance library (unofficial, possibly delayed). 1. Open the skill: https://github.com/staskh/trading_skills/blob/main/.claude/skills/price-history/SKILL.md and copy the full SKILL.md text. 2. Paste it into a chat with Muse and add: "Pull one year of daily OHLCV for AAPL and walk me through the key movements: the high and low of the period, the biggest up and down stretches, and the overall trend." 3. Ask for the interval that matches the question: daily bars for a year view, hourly or 15-minute bars for the last few sessions; minute data over months is noise, not insight. Tip: pair a long daily series with a short intraday one when you check an event: the daily series shows where price came from, the intraday one shows how it reacted. Safety: a skill is plain-text instructions; it runs nothing by itself. This is informational only, not investment advice.
Saved to your recent installs. Find it anytime on /connect.
Questions
How do I install a build?
Every product page includes a copy-paste install prompt. Paste it into your Muse and it sets the build up for you — no manual configuration.
Where does my money go?
Straight to the seller. Skill Harbor never processes payments: checkout happens on the seller’s own page, usually Stripe.
What does the ✓ next to a creator’s name mean?
It means we confirmed the identity of the person behind the listing. It says nothing about the code itself — always check a build before installing it.