
Quant Analyst
This handles the bread and butter of quantitative finance work: backtesting strategies, calculating risk metrics like VaR and Sharpe ratios, and running portfolio optimizations using Markowitz or Black-Litterman models. It's built around pandas and numpy for vectorized operations and pushes you toward realistic assumptions about transaction costs and slippage. The approach is sensible: data validation first, out-of-sample testing to catch overfitting, and risk-adjusted returns over raw performance. You'll get strategy implementations, backtest results with proper metrics, and sensitivity analysis. Good for pairs trading, options pricing, or any systematic strategy work where you need proper statistical rigor and don't want to reinvent the risk calculation wheel.
- skills.sh installs
- 775
- GitHub stars
- 43.1K
- last updated
- Jul 14, 2026
Install
$ npx -y skills add sickn33/antigravity-awesome-skills --skill quant-analyst --agent claude-codeInstalls into .claude/skills of the current project.
Files
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
Sponsors
Details
- Repository
- github.com/sickn33/antigravity-awesome-skills
- Category
- Finance & Trading
- First seen
- Jun 3, 2026
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