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Quant research

Datathons

Where trading meets research

Trading gets more quantitative every year, and the top desks increasingly compete on how well they model market data. The games sharpen your instincts. The rest of the job is finding signal in noisy data before everyone else does.

TraderPrep Datathons are Kaggle-style modeling challenges built on real crypto market data. Train on history, upload your predictions, and climb an all-time leaderboard against other quants. No deadlines, the board is always open.

  • OpenPro

    Cross-Token Return Prediction

    Reconstruct a hidden token's return from its peers, out of sample

    RMSE · 7,453 test rowsView →
  • OpenPro

    Next-Hour Volatility Forecast

    Forecast next-hour realized volatility from trailing returns

    RMSE (log-vol) · 21,432 test rowsView →
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