Creates agent-based financial market simulation models for price forecasting of stocks, ETFs or other securities. A population of trading strategies compete on a virtual market that runs parallel to a real world market. Strategies evolve by genetic programming and market pricing dynamics, driving the population to recognize and anticipate recurring price patterns. The collective behavior of the virtual market is used to generate trading signals.

Adaptive Modeler is an application 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 to historical data. This results in better adaptation 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.

New Release
Added 'day of week' genes. Added PopulationShares data series.
[ Adaptive Modeler release history ]

Microsoft .Net Framework 2.0, 512 MB Ram

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