
Options Strategy Advisor
If you need to simulate options strategies or understand Greeks without paying for real-time data feeds, this gives you Black-Scholes pricing and P/L analysis for 18 common strategies from covered calls to iron condors. It pulls stock prices and historical volatility from FMP API but works offline too if you input vol manually. The earnings integration is smart: it can suggest straddle plays before announcements by combining pricing models with the calendar data. Best for education and what-if scenarios rather than live trading, since it uses theoretical European pricing that may undervalue American options. The strategy library is thorough enough that you can compare protective puts against collars or size an iron condor position with actual Greeks exposure calculations.
- skills.sh installs
- 3.9K
- GitHub stars
- 3.7K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add tradermonty/claude-trading-skills --skill options-strategy-advisor --agent claude-codeInstalls into .claude/skills of the current project.
Files
Options Strategy Advisor
Overview
This skill provides comprehensive options strategy analysis and education using theoretical pricing models. It helps traders understand, analyze, and simulate options strategies without requiring real-time market data subscriptions.
Core Capabilities:
- Black-Scholes Pricing: Theoretical option prices and Greeks calculation
- Strategy Simulation: P/L analysis for major options strategies
- Earnings Strategies: Pre-earnings volatility plays integrated with Earnings Calendar
- Risk Management: Position sizing, Greeks exposure, max loss/profit analysis
- Educational Focus: Detailed explanations of strategies and risk metrics
Data Sources:
- FMP API: Stock prices, historical volatility, dividends, earnings dates
- User Input: Implied volatility (IV), risk-free rate
- Theoretical Models: Black-Scholes for pricing and Greeks
Prerequisites
Required:
- Python 3.9+ with
numpy,scipy,requests
Sponsors
Details
- Repository
- github.com/tradermonty/claude-trading-skills
- Categories
- Python, Finance & Trading
- First seen
- May 16, 2026
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