options-payoff

Calculate option pricing, Greeks, and multi-leg payoff profiles with the Black-Scholes model.

Updated Jul 29, 2026
One-click install
npx skills add https://github.com/santoosaraujo/vibe-trading-claude --skill options-payoff-santoosaraujo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: options-payoff
Source: https://github.com/santoosaraujo/vibe-trading-claude/tree/main/.claude/skills/options-payoff
Command: npx skills add https://github.com/santoosaraujo/vibe-trading-claude --skill options-payoff-santoosaraujo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires numpy, scipy, matplotlib, plotly.

What problem does it solve?

This skill solves the complexity of visualizing and calculating the risk-reward profiles of multi-leg option strategies, helping traders understand their exposure before execution.

Core Features & Use Cases

  • Strategy Visualization: Generates interactive payoff diagrams for single and multi-leg strategies including butterflies, condors, and spreads.
  • Greeks & Pricing: Calculates Black-Scholes theoretical values and Greeks (Delta, Gamma, Theta, Vega, Rho) to assess sensitivity to market moves and time decay.
  • Use Case: A trader wants to evaluate the impact of a volatility spike on an existing Iron Condor position; this skill provides the scenario analysis to visualize the P&L shift under different IV regimes.

Quick Start

Use the options-payoff skill to generate a payoff diagram for a bull call spread with the specified strikes and premiums.

Frequently Asked Questions about options-payoff

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

FAQPage Schema
How do I calculate option Greeks and payoff profiles for a multi-leg strategy?

You can calculate option Greeks and multi-leg strategy payoff profiles using the Black-Scholes model to assess theoretical pricing, risk-reward scenarios, and sensitivity to market moves and time decay.

How do I visualize the breakeven points and P&L scenarios for an iron condor?

Visualizing breakeven points and P&L scenarios for an iron condor involves generating interactive payoff diagrams that map risk-reward exposure across different underlying price movements and volatility regimes.

Does this Black-Scholes calculator support numerical methods for implied volatility inversion?

Yes, the Black-Scholes calculator supports numerical methods for implied volatility inversion, allowing you to extract volatility inputs from market prices and analyze derivative portfolio sensitivity.

Can I use Python with numpy and scipy to evaluate volatility spikes on existing options?

You can use Python with numpy and scipy to evaluate volatility spikes on existing options by running scenario analysis to visualize P&L shifts under different implied volatility regimes.

What is the best way to map risk-reward exposure for options spreads before execution?

The best way to map risk-reward exposure for options spreads before execution is to generate theoretical pricing and multi-leg payoff diagrams that quantify breakeven points and Greek sensitivities.

What are the limitations of using the Black-Scholes model for options scenario analysis?

A limitation of using the Black-Scholes model for options scenario analysis is its reliance on theoretical assumptions, which may not fully capture extreme market moves or complex volatility surfaces in derivative portfolios.