If you haven't yet created your first neural network prediction model, I strongly suggest you look at the how-to lesson: How to create and trade a Neural Network model A Genetic algorithm is an evolutionary algorithm that tries to solve optimization problems using techniques inspired by the natural evolution. An example of an optimization problem is: Given several neural network inputs, which ones should I choose in order to generate a prediction model that is likely to be the most profitable. Steps: - In QuantShare trading software, select "AI" then "Optimizer" - In the Optimizer Manager form, click on "Create" - Select "Genetic Algorithm" then "Prediction Model" in the "What do you want to optimize?" list - Update the genetic algorithm parameters then click on "Next". Example: for a quick optimization, set low values in the "Number of generations" and "Population size" fields. - Click on "Select a prediction item" then select a neural network model - Add as many inputs as you want. The optimizer will try to find the inputs combination that gives that highest fitness value. Example of Inputs: Relative Strength Index - RSI Moving Average of the trading volume Put/Call Ratio Relative strength between a stock and the main market index 10-Bar Rate of Change To create an optimization based on the neural net underlying trading strategy, type the following fitness formula: Fitness = StrategyMetric; - Click on "Next" twice then save your optimize item To start the optimization of the neural network based on a genetic algorithm, select the previously saved item in the "Optimizer Manager" then click on "Run". 
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