options-strategy-advisor

Calculate theoretical prices and Greeks for options strategies using the Black-Scholes model.

1|Updated Feb 18, 2026
One-click install
npx skills add https://github.com/darkounus90/BOTTX3 --skill options-strategy-advisor-darkounus90
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: options-strategy-advisor
Source: https://github.com/darkounus90/BOTTX3/tree/main/.agents/skills/options-strategy-advisor
Command: npx skills add https://github.com/darkounus90/BOTTX3 --skill options-strategy-advisor-darkounus90

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires numpy, scipy, requests, pandas, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps traders analyze and simulate options strategies without real-time data, offering theoretical pricing and risk management guidance using the Black-Scholes model.

Core Features & Use Cases

  • Theoretical Pricing: Utilize the Black-Scholes model for accurate pricing of options.
  • Greeks Calculation: Calculate Greeks (Delta, Gamma, Theta, Vega, Rho) for in-depth risk analysis.
  • Strategy Simulation: Simulate P/L for various options strategies, including covered calls, protective puts, and spreads.
  • Educational Focus: Provides clear explanations and comparisons of different strategies.
  • Use Case: A trader wants to analyze a bull call spread before trading it. They use this Skill to calculate the theoretical price and Greeks, simulate the P/L, and assess the risk.

Quick Start

Run the script 'scripts/black_scholes.py' with the desired parameters for option pricing analysis.

Frequently Asked Questions about options-strategy-advisor

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

FAQPage Schema
How do I calculate options Greeks using the Black-Scholes model in Python?

You can calculate options Greeks using the Black-Scholes model by running the black_scholes.py script with numpy and scipy, which computes Delta, Gamma, Theta, Vega, and Rho for in-depth risk analysis.

Can I simulate P/L for options strategies like spreads without real-time market data?

Yes, you can simulate P/L for options strategies like covered calls, protective puts, and spreads without real-time data by providing theoretical parameters to run strategy simulations and assess risk.

What's the best way to analyze a bull call spread before executing the trade?

The best way to analyze a bull call spread is to use a strategy simulation tool to calculate theoretical prices and Greeks, allowing you to evaluate potential P/L and assess risk before executing the trade.

Do I need scipy and numpy installed to run Black-Scholes theoretical pricing scripts?

Yes, you need scipy and numpy installed in your Python environment to execute the Black-Scholes theoretical pricing scripts, as these dependencies handle the mathematical calculations required for options analysis.

Does this options strategy analysis tool support live market data feeds?

No, the options strategy analysis tool does not support live market data feeds; it provides educational analysis and risk management guidance using theoretical pricing and strategy simulations without the need for real-time data.