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Skills/Finance & Trading
staskh avatar

Risk Assessment

staskh/trading_skills

This gives you the core risk metrics traders actually care about: historical volatility, beta against SPY, Value at Risk at both 95% and 99% confidence levels…

GitHub stars
248
last updated
Jun 11, 2026
View on GitHubSave

Install

$ npx -y skills add staskh/trading_skills --skill risk-assessment --agent claude-code

Installs into .claude/skills of the current project.

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What it does

This gives you the core risk metrics traders actually care about: historical volatility, beta against SPY, Value at Risk at both 95% and 99% confidence levels, max drawdown, and Sharpe ratio. You can pass in a position size to get dollar-based VaR, which is handy for actual position sizing decisions. It pulls data via yfinance and lets you specify the lookback period from one month to a year. The output is straightforward JSON that Claude can explain in plain language. If you're doing any kind of portfolio work or need to quantify downside risk beyond just looking at price charts, this covers the standard metrics without requiring you to spin up a Bloomberg terminal.

Files

Select a file.

Details

Repository
github.com/staskh/trading_skills
Category
Finance & Trading
License
MIT
First seen
Jun 11, 2026

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