Genetic Algorithm Based Optimization

This page is currently being developed. Check back soon for complete documentation.

Coming Soon

This guide will cover:

• Introduction to genetic algorithms for algo optimization

• Defining the parameter space in algo descriptors

• How Datafye's genetic algorithm engine works

• Fitness functions and scoring

• Population size and generations

• Mutation and crossover strategies

• Convergence criteria

• Multi-objective optimization

• Avoiding overfitting during optimization

• Interpreting optimization results

• Best practices for parameter space design

Need Help Now?

While we finalize this documentation, you can:

• Review Algo Descriptors to understand parameter space configuration

• Check out Scorecarding for fitness/scoring metrics

• Explore Parallelized Backtesting which powers the optimization engine

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Last updated: 2025-10-11