Creates agent-based financial market simulation models for price forecasting of stocks, ETFs or other securities. Evolution of competing trading strategies through genetic programming and market pricing dynamics collectively generate trading signals.
Adaptive Modeler is a tool for creating agent-based market simulation models for price forecasting of real world stocks, ETFs or other securities. Thousands of trading agents are provided with real world market data and use their trading rules to compete and adapt on a simulated market. Their collective behavior is used to generate forecasts and trading signals. Models evolve and adapt incrementally (walk-forward) in real-time without repeated optimization or overfitting on historical data. This results in better adaptability to changing market conditions and more consistent and reliable performance.
Adaptive Modeler features an easy to use drag-and-drop user interface, real-time charts and plots to visualize model evolution, behavior and performance, a user configurable genetic programming engine for trading rule creation, (custom) quote intervals ranging from 1 millisecond to multiple days or variable, Trading Simulator with hedge-fund style performance report, data export function, batch mode, User’s Guide, Tutorial, examples, context-sensitive help and much more.
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