# Options Strategy Advisor

Options trading strategy analysis and simulation tool.

- Repository: https://github.com/tradermonty/claude-trading-skills (3536 stars)
- Category: Engineering
- License: MIT
- Last updated: 2026-11-01
- Runs scripts: yes, review before use

## Install

Claude Code: `npx skills add tradermonty/claude-trading-skills --skill options-strategy-advisor -g -a claude-code -y`
Codex: `npx skills add tradermonty/claude-trading-skills --skill options-strategy-advisor -g -a codex -y`
Cursor: `npx skills add tradermonty/claude-trading-skills --skill options-strategy-advisor -g -a cursor -y`
Gemini CLI: `npx skills add tradermonty/claude-trading-skills --skill options-strategy-advisor -g -a gemini-cli -y`

## Description

Options trading strategy analysis and simulation tool. Provides theoretical pricing using Black-Scholes model, Greeks calculation, strategy P/L simulation, and risk management guidance. Use when user requests options strategy analysis, covered calls, protective puts, spreads, iron condors, earnings plays, or options risk management. Includes volatility analysis, position sizing, and earnings-based strategy recommendations. Educational focus with practical trade simulation.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# 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`

**Optional:**
- FMP API key (for real-time stock prices and historical volatility)
  - Set via `FMP_API_KEY` environment variable or `--api-key` argument
  - Without API key: Use manual inputs for stock price and volatility

**Installation:**
```bash
pip install numpy scipy requests
```

**Quick Start Examples:**
```bash
# Basic call option pricing (no API key needed)
python3 scripts/black_scholes.py

# With FMP API key for real-time data
python3 scripts/black_scholes.py --ticker AAPL --api-key $FMP_API_KEY

# Custom option parameters
python3 scripts/black_scholes.py --stock-price 180 --strike 185 --days 30 --volatility 0.25

# Put option analysis
python3 scripts/black_scholes.py --stock-price 180 --strike 175 --days 30 --option-type put
```

## When to Use This Skill

The rest: https://github.com/tradermonty/claude-trading-skills/blob/HEAD/skills/options-strategy-advisor/SKILL.md