options-strategy

Backtest option portfolios with Black-Scholes pricing to simulate PnL and Greeks across crypto and equity markets.

Updated May 15, 2026
One-click install
npx skills add https://github.com/philipcoller-777/Vibe-Trading-TV2 --skill options-strategy-philipcoller-777
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: options-strategy
Source: https://github.com/philipcoller-777/Vibe-Trading-TV2/tree/main/agent/src/skills/options-strategy
Command: npx skills add https://github.com/philipcoller-777/Vibe-Trading-TV2 --skill options-strategy-philipcoller-777

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Backtesting of option portfolio strategies starting from an underlying price, synthesizing theoretical prices with the Black-Scholes model, then simulating PnL, Greeks exposure, and expiration exercise for multi-leg option portfolios.

Core Features & Use Cases

  • Backtest multi-leg option strategies across crypto and equity markets.
  • Compute theoretical prices via Black-Scholes, estimate Greeks, and track daily PnL and risk exposures.
  • Use cases include hedging (covered calls, protective puts), volatility trading (straddles, strangles), and spreads (iron condor, butterfly, calendar spread).

Quick Start

Provide an underlying price series and a strategy configuration, then run the engine to backtest a multi-leg option portfolio.

Frequently Asked Questions about options-strategy

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

FAQPage Schema
Can I backtest crypto option strategies like straddles and iron condors?

Yes, you can backtest crypto option strategies using this engine. It synthesizes theoretical option values via Black-Scholes and supports multi-leg positions across both crypto and equity markets to simulate PnL and Greeks.

What inputs do I need to simulate PnL and Greeks for an option portfolio?

You need to supply historical underlying price data and define a multi-leg strategy configuration. The engine uses these inputs to synthesize option values through Black-Scholes, outputting trades, equity curves, and Greeks artifacts.

What is the best way to backtest option portfolios without historical options data?

This approach focuses on backtesting option portfolios using Black-Scholes theoretical pricing rather than relying on historical option market prices. It synthesizes values from underlying data to compute Greeks and simulate PnL.

Does the backtest output Greeks exposure and daily PnL for multi-leg portfolios?

Yes, the engine tracks Greeks exposure throughout the backtest. It computes Greeks via the Black-Scholes model and outputs them as artifacts, allowing you to monitor daily risk exposures for multi-leg option portfolios.