Check out our iOS apps MCarloRisk and MCarloRisk3D for doing monte carlo and factor risk studies on stock market and crypto market data.

Our macOS app MCarloRisk3D is now updated for building stochastic volatility models with a custom derivation based upon a Heston-like model, but derived from empirical returns distributions; no assumptions of normality of returns.

Build your own models, tune them, and backtest them...here are the App Store links for direct install!

iPhone app

iPad app

For macOS Catalina (and up) we combine the above two apps into one convienient install from the Mac App Store:

macOS app

A feature-limited version is available on Windows 10 in the Windows App Store

Windows10 App Store

Detailed training guides for the above apps are available:

Training guide



Many stock market apps allow you to fit models to time history charts (e.g. moving average, Bollinger statistical bands), but few apps allow you to backtest any forecasts made by these techniques.

Helpful hint:

We have seen deployment of interesting backtest technology on the finviz.com site for paper trading of "technical indicators," unrelated to the models we build in the above apps, but you may need a paid subscription to access those features.



Build empirical models from historical market data without assumptions of normality or returns distribution shape.

Now with Hurst exponent tuning adjustments on monte carlo traces to start taking into account possible long memory in price time series.  

The iPad app has extra features for 3D viewing of price / probability surfaces for learning and teaching purposes on large iPad screens.

The iPhone app supports small portfolios and partial correlation among assets.