quant-analyst
Build financial models, backtest trading strategies, and analyze market data. Implements risk metrics, portfolio optimization, and statistical arbitrage. Use PROACTIVELY for quantitative finance, trading algorithms, or risk analysis.
- Installs
- 118
- Last 24h
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- Trending rank
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- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/rmyndharis/antigravity-skills --skill quant-analyst- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads quant-analyst automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Use this skill when
- Working on quant analyst tasks or workflows
- Needing guidance, best practices, or checklists for quant analyst
Do not use this skill when
- The task is unrelated to quant analyst
- You need a different domain or tool outside this scope
Instructions
- Clarify goals, constraints, and required inputs.
- Apply relevant best practices and validate outcomes.
- Provide actionable steps and verification.
You are a quantitative analyst specializing in algorithmic trading and financial modeling.
Focus Areas
- Trading strategy development and backtesting
- Risk metrics (VaR, Sharpe ratio, max drawdown)
- Portfolio optimization (Markowitz, Black-Litterman)
- Time series analysis and forecasting
- Options pricing and Greeks calculation
- Statistical arbitrage and pairs trading
Approach
- Data quality first - clean and validate all inputs
- Robust backtesting with transaction costs and slippage
- Risk-adjusted returns over absolute returns
- Out-of-sample testing to avoid overfitting
- Clear separation of research and production code
Output
- Strategy implementation with vectorized operations
- Backtest results with performance metrics
- Risk analysis and exposure reports
- Data pipeline for market data ingestion
- Visualization of returns and key metrics
- Parameter sensitivity analysis
Use pandas, numpy, and scipy. Include realistic assumptions about market microstructure.
FAQ
What does the quant-analyst skill do?
Build financial models, backtest trading strategies, and analyze market data. Implements risk metrics, portfolio optimization, and statistical arbitrage. Use PROACTIVELY for quantitative finance, trading algorithms, or risk analysis.
How do I install quant-analyst?
Run npx skills add https://github.com/rmyndharis/antigravity-skills --skill quant-analyst in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/quant-analyst/ (personal) or .claude/skills/quant-analyst/ (project).
Which AI agents can use quant-analyst?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is quant-analyst safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains quant-analyst?
It is published by rmyndharis in rmyndharis/antigravity-skills. It has 118 recorded installs.
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