SimulMarkets™ was created to explore the world of financial markets through the lens of algorithmic simulation. Our goal is to help curious minds understand how markets behave under different conditions—without making forecasts or offering financial advice.
This project is rooted in years of work on simulation techniques, originally developed for Monte Carlo methods, now adapted for market data using real-time and historical pricing information.
Our motto: “Model scenarios, not predictions.”
We are building a real-time web dashboard that will stream logs directly from our simulation engine, giving a behind-the-scenes view into how each instrument is screened, evaluated, and managed. The dashboard will also include visualizations such as the exponential moving average (EMA) and standard deviation of the cumulative compounded PnL for each category of instruments—crypto-currencies and stocks—offering insight into portfolio behavior and performance trends as they evolve.