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The hardest data science tournament on the planet.
Build the world's last hedge fund by predicting the stock market.
Staked Models
control the Numerai hedge fund
-
NMR at Stake
$ -
-
Average 3 Month Return
on NMR staked
-
Staked Models
control the Numerai hedge fund
-
NMR at Stake
$ -
-
Average 3 Month Return
on NMR staked
-
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.
Download Dataset
| id | era | feature1 | . . . | feature310 | target |
|---|---|---|---|---|---|
| n2b2e3dd163cb422 | era1 | 0.75 | . . . | 0.00 | 0.25 |
| n177021a571c94c8 | era1 | 1.00 | . . . | 0.25 | 0.75 |
| n7830fa4c0cd8466 | era1 | 0.25 | . . . | 1.00 | 0.00 |
| nc584a184cee941b | era1 | 0.25 | . . . | 0.00 | 1.00 |
| nc5ab8667901946a | era1 | 0.75 | . . . | 0.25 | 0.25 |
| n84e624e4714a7ca | era1 | 0.00 | . . . | 0.75 | 1.00 |
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.
Clone Example Scripts
#!/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)
model.fit(training_data[feature_names], training_data["target"])
# submit predictions to numer.ai
predictions = model.predict(tournament_data[feature_names])
predictions.to_csv("predictions.csv")| id | prediction |
|---|---|
| n60dffdaceb7e467 | 0.25 |
| nadaeef0214b84a8 | 1.00 |
| nb13883520a4344f | 0.25 |
| n423766c5a4fa42a | 0.75 |
| n252b14301e46a31 | 0.25 |
| n75a5baf93a624cc | 0.00 |
| n2ff91086716e413 | 1.00 |
Submit your predictions to control the capital of the Numerai hedge fund.
Build reputation to claim your place on the leaderboard. Stake on your model to earn cryptocurrency.
$1000000 paid out to data scientists.
Rules and Payouts
Contact
General enquiries
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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.
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