Agent skill · Data & Analytics

quant-analyst

Expert in quantitative finance, algorithmic trading, and financial data analysis using Python (Pandas/NumPy), statistical modeling, and machine learning.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill quant-analyst-skill-404kidwiz-claude-supercode-ski-c769b68f --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 4 KB
Bundled scripts: none
Path: skills/analysis/quant-analyst-skill-404kidwiz-claude-supercode-ski-c769b68f/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Quantitative Analyst ## Purpose Provides expertise in quantitative finance, algorithmic trading strategies, and financial data analysis. Specializes in statistical modeling, risk analytics, and building data-driven trading systems using Python scientific computing stack. ## When to Use - Building algorithmic trading strategies or backtesting frameworks - Performing statistical analysis on financial time series data - Implementing risk models (VaR, CVaR, Greeks calculations) - Creating portfolio optimization algorithms - Developing quantitative pricing models for derivatives - Analyzing market microstructure and order book dynamics - Building factor models for asset returns - Implementing Monte Carlo simulations for financial instruments ## Quick Start **Invoke this skill when:** - Building algorithmic trading strategies or backtesting frameworks - Performing statistical analysis on financial time series data - Implementing risk models (VaR, CVaR, Greeks calculations) - Creating portfolio optimization algorithms - Developing quantitative pricing models for derivatives **Do NOT invoke when:** - Building general web applications → use fullstack-developer - Creating data visualizatio

What's inside
Steps it walks through
  1. Purpose
  2. When to Use
  3. Quick Start
  4. Decision Framework
  5. Core Workflows
  6. 1. Algorithmic Trading Strategy Development
  7. 2. Risk Model Implementation
  8. 3. Portfolio Optimization
  9. Best Practices
  10. Anti-Patterns
Ships with 1 file
  • metadata.json
More from claude-skill-registry
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About this skill
What does the quant-analyst skill do?

Expert in quantitative finance, algorithmic trading, and financial data analysis using Python (Pandas/NumPy), statistical modeling, and machine learning.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill quant-analyst-skill-404kidwiz-claude-supercode-ski-c769b68f --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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