alphagbm-pnl-simulator

You can visualize P&L for multi-leg option spreads by configuring individual legs, strikes, expiries, and implied volatility inputs to run scenario-based simulations that project payoff diagrams and breakeven points.

Yes, you can run Monte Carlo simulations to generate probability-based outcome forecasts for options, allowing you to quantify risk and visualize potential P&L distributions across various market movements.

Calculating breakeven analysis for a butterfly spread requires an API key, base URL, and defined inputs including individual option legs, strike prices, expiration dates, and implied volatility.

Yes, the option P&L simulator supports time-series visualization alongside expiry payoffs, enabling you to test what-if scenarios for price, implied volatility, and time to expiration changes.

The best way to test risk scenarios for iron condors is by defining the position legs and running a P&L simulation to view breakeven analysis and probability distributions across price moves.