The hardest data science tournament in the world.
Predict the stock market with AI to power our hedge fund.
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 NEM data using a xgboost regression. """
import pandas as pd
from xgboost import XGBRegressor
# training data contains features and targets
training_data = pd.read_csv("NEM_training_data.csv").set_index("id")
# tournament data contains features only
tournament_data = pd.read_csv("NEM_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 NEM.ai
predictions = model.predict(tournament_data[feature_names])
predictions.to_csv("predictions.csv")An example of a complete NEM 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 models to predict the stock market.
Build reputation to claim your place on the leaderboard. Stake on your model to earn (or burn) cryptocurrency. $18,833,368 in NMR has been paid to data scientists.
Learn More
Learn how NEM combines thousands of models into one meta model to predict the stock market.
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.
Note: NEM 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.