Rather than relying on historical pattern-matching or predictions, we simulate market responses using stochastic models and real-time data inputs.
Our models rely exclusively on quantitative price data—focusing on 5-minute to 1-hour candles—without factoring in news headlines, earnings releases, or other current affairs. Everything is decided based on how markets move, not why they move.
Portfolios are automatically adjusted based on performance thresholds and stochastic signal confirmations. Position sizes are scaled dynamically based on compounded PnL, and instruments underperforming beyond a threshold drawdown are removed from the portfolio.
A real-time web dashboard is in development to stream simulation logs and display analytics such as EMA and the standard deviation of cumulative compounded PnL—providing a clear, evolving picture of instrument-level performance and portfolio adaptation.
SimulMarkets™ provides no investment advice. These simulations are meant for educational and research purposes only.