Paid services

Tutorials
  • How to design forecast indicators
  •      Stationnarizing volatility data (implied and historical)
  •      Pre-treatment of explanatory variables, variance reduction, dealing with collinear regressors
  •      Choosing the right Machine Learning approach : From OLS to Neural Networks
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Compliance, Risk Control and Regulation
  • Fraud detection (Spoofing, Pump and Dump, ...)
  • Market liquidity analysis
  •      Average spread
  •      Volumes
  •      Traded volume
  •      Underlying classification
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Consulting
  • Deployment of forecast indicators in your trading systems
  • Options Portfolio pricing, latent PnL, risk assessment
  • Save on costs and funding by optimizing your
    margin call on listed positions
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