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.