The hardest data science tournament in the world.

Predict the stock market with AI to power our hedge fund.

$25,784,923

paid to data scientists

4,441

staked models

Start with hedge fund quality data.

It is clean and regularized, designed to be usable right away. Obfuscated, so it can be given out for free.

Each id corresponds to a stock at a specific time era. The features describe the various quantitative attributes of the stock at the time. The target represents an abstract measure of performance a fixed number of weeks into the future

Apply machine learning to predict the stock market.

Build a model using the example Python and R scripts. Everything you need to get started in one package.

An example of a complete Numerai model written in Python.

Example target predictions.

Submit models to predict the stock market.

Build reputation to claim your place on the leaderboard. Stake on your model to earn (or burn) cryptocurrency. $25,602,213 in NMR has been paid to data scientists.