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Research

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Financial ML & Backtesting Infrastructure

Machine learning for return prediction and risk, paired with backtesting infrastructure that controls for look-ahead, selection bias, and overfitting. This is the research line behind the Strategy Validation Engine.

Focus

  • Purged and combinatorial cross-validation
  • Deflated Sharpe ratio and backtest-overfitting probability
  • Feature leakage and data integrity
  • Model risk for ML strategies

Publications & tools

Coming soon. Write-ups, notebooks, and tools from this research line will be published here.

Learn the groundwork