The hardest data science tournament in the world.

Predict the stock market.

The hardest data science tournament in the world.

Predict the stock market.

paid to data scientists
staked models
avg 3 month return on stake

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.

#!/usr/bin/env python
""" Example classifier on Numerai data using a xgboost regression. """

import pandas as pd
from xgboost import XGBRegressor

# training data contains features and targets
training_data = pd.read_csv("numerai_training_data.csv").set_index("id")

# tournament data contains features only
tournament_data = pd.read_csv("numerai_tournament_data.csv").set_index("id")
feature_names = [f for f in training_data.columns if "feature" in f]

# train a model to make predictions on tournament data
model = XGBRegressor(max_depth=5, learning_rate=0.01, \
                   n_estimators=2000, colsample_bytree=0.1)[feature_names], training_data["target"])

# submit predictions to
predictions = model.predict(tournament_data[feature_names])

An example of a complete Numerai model written in Python.

id prediction
n60dffdaceb7e467 0.25
nadaeef0214b84a8 1.00
nb13883520a4344f 0.25
n423766c5a4fa42a 0.75
n252b14301e46a31 0.25
n75a5baf93a624cc 0.00
n2ff91086716e413 1.00

Example target predictions.

Submit predictions to control the capital of Numerai's hedge fund.

Build reputation to claim your place on the leaderboard. Stake on your model to earn cryptocurrency. $40,572,172 in NMR has been paid to data scientists.

Learn More

Learn how Numerai combines thousands of models into one meta model to predict the stock market.

Numerai data scientists stake their best models with our cryptocurrency, NMR. Watch the video introducing NMR to our community.

Introduction to Numerai Signals, a tournament for data scientists who have their own data.

Join the network and build the world’s last hedge fund.

Backed by Union Square Ventures, the co-founder of Renaissance, and the co-founder of Coinbase.

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Note: Numerai runs a quantitative global equity market neutral hedge fund which is unsuitable for most investors. The fund is designed for institutional investors though some high net worth accredited individuals may qualify.