Stock market forecasting software using agent-based market simulation models
Adaptive Modeler creates agent-based models for price forecasting of real-world markets such as stocks, cryptocurrencies, ETFs, commodities or forex currency pairs. One-step-ahead forecasts and trading signals are generated after every received price bar or tick. As models evolve and adapt incrementally over time, all market data (historical and current) is processed out-of-sample. Historical data is not used for repeated training, optimizing or overfitting of trading rules. Models are therefore more resilient to changing market conditions and performance is more consistent and reliable.