Creates agent-based financial market simulation models for trading stocks, ETFs or other securities. Evolution of competing trading strategies through genetic programming and market pricing dynamics collectively generate trading signals. Adaptive Modeler creates agent-based market simulation models for analyzing historical prices of real world stocks, ETFs, currencies or other market traded securities. The agent-based model simulates a financial market consisting of thousands of individual agents whose trading rules evolve through genetic programming. The evolution of trading rules combined with market pricing dynamics drives the agent population to learn to recognize and anticipate recurring price patterns while adapting to changing market behavior.
Easy SIS Creator JLC's UPX GUI application was designed to be a simple GUI for the executable packer UPX
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