Know how to avoid the #1 Mistake in Algo Development

Even the most well funded and well educated algorithmic developers run foul of curve-fitting.

Our guide will explain:

  • What over-fitting is
  • How over-fitting ruins your systems
  • Techniques to avoid overfitting
    • Hold out data
    • Robustness of parameter values
    • Walk forward optimisation
    • Monte Carlo permutation analysis
    • Market stability checks
  • Show the statistical evidence that robustness tests improve system outcomes

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