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options-strategy

Backtest options trading strategies with Black-Scholes pricing and Greeks analysis.

Updated May 25, 2026
Search Tags:#options trading#Black-Scholes#strategy backtesting#portfolio simulation#Greeks analysis
One-click install
npx skills add https://github.com/NigarumOvum/AutoTrading --skill options-strategy-nigarumovum
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: options-strategy
Source: https://github.com/NigarumOvum/AutoTrading/tree/main/Vibe-Trading/agent/src/skills/options-strategy
Command: npx skills add https://github.com/NigarumOvum/AutoTrading --skill options-strategy-nigarumovum

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the backtesting and analysis of options trading strategies, providing a streamlined approach to strategy development and performance evaluation.

Core Features & Use Cases

  • Black-Scholes Pricing: Calculate theoretical option prices using the Black-Scholes model.
  • Greeks Analysis: Analyze the risk and exposure of multi-leg option portfolios.
  • Multi-Leg Backtesting: Simulate the performance of complex option strategies.
  • Use Case: For example, you can backtest a covered call strategy on a particular stock to assess its potential returns and risk.

Quick Start

Run the options-strategy skill with the specified configuration file to start backtesting your option strategy.

Frequently Asked Questions about options-strategy

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I backtest options trading strategies using Python?▼

You can backtest options trading strategies by running Python scripts that simulate multi-leg portfolios, applying the Black-Scholes model to evaluate historical performance and risk exposure.

What is the Black-Scholes pricing model used for in options analysis?▼

The Black-Scholes pricing model is used to calculate theoretical option prices and compute Greeks analysis, allowing you to assess the risk and exposure of multi-leg option portfolios.

Can I analyze Greeks for multi-leg option portfolios?▼

Yes, you can analyze Greeks for multi-leg option portfolios. The skill simulates complex trading scenarios to evaluate the risk exposure and overall performance of your combined option positions.

Do I need Python to automate options strategy simulation?▼

Yes, Python is required to automate options strategy simulation. The skill relies on Python scripting and data analysis to run backtesting configurations and evaluate theoretical pricing models.

What's the best way to evaluate a covered call strategy?▼

The best way to evaluate a covered call strategy is to simulate its performance using multi-leg backtesting. This automates scenario evaluation to assess potential returns and risk exposure.

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