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Short Description:
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.
Long Description 1:
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.
Long Description 2:
Adaptive Modeler is an application for creating agent-based market simulation models for price forecasting of real world stocks, ETFs, forex currency pairs, cryptocurrencies, commodities or other markets. 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 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, a user configurable genetic programming engine for trading rule creation, quote intervals ranging from 1 millisecond to multiple days or variable, support for up to 100 custom input variables, Trading Simulator with hedge-fund style performance report, data exporting, batch jobs and command line automation, Users Guide, Tutorial, examples, context-sensitive help and much more.
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