Summary
Built for anyone doing serious quant work in Python who needs to move fast on strategy development and risk analysis. Covers the full pipeline: algo trading with walk-forward validation to catch overfitting, risk models like VaR and Greeks, portfolio optimization from mean-variance to risk parity, and Monte Carlo for derivatives pricing. The focus on vectorized NumPy/Pandas operations is smart since performance matters when you're backtesting or running simulations. This handles both the math-heavy stuff (factor modeling, time series analysis) and practical concerns like transaction costs and rebalancing. Good fit if you're building trading systems or need to analyze market microstructure without reinventing statistical wheels.
Install to Claude Code
npx -y skills add 404kidwiz/claude-supercode-skills --skill quant-analyst --agent claude-codeInstalls into .claude/skills of the current project.
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SKILL.md
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Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
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