Numerai


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Numerai is a data science tournament. It’s like Algorithmic trading without doing the trading part.

Tournaments

Numerai has two tournaments.

Classic / Regular

  • Try to predict on a black-box dataset.
  • You don’t know the stock tickers or what the data features mean.

  • ID: 1a868e3e-1df7-45ca-91e0-34e315f5bee2
  • Name: kazutsugi
  • Tournament: 8

    Signals

  • You bring your own data and predict for each stock ticker.
  • You know which stocks you are predicting for.

  • ID: 1adb7bf1-f61a-4718-a73b-fd516e32a475
  • Name: signals
  • Tournament: 11

Crypto

  • This is the newest Numerai tournament.
  • You bring your own data and try to predict Cryptocurrency returns.

Classic

In this tournament, you get an obfuscated dataset. You don’t know the stock tickers, and all the features are normalized into 5 distinct values and have random names.

Datasets

V4.3

That’s a lotta features

Signals

API

Numerai has a GraphQL API. Both public data (like rounds, dataset URLs, leaderboards etc) and private data (authentication, submissions etc) go over a single endpoint.

The GraphQL endpoint is https://api-tournament.numer.ai.

To play around with the API, you can use a dedicated GUI like GraphQL Playground. You can also simply visit the endpoint URL with a browser, there is a built-in GUI you can use.

NMR (Numeraire)

NMR is the cryptocurrency / utility token used in the Numerai tournaments.

Website

Name Link
Main website https://numer.ai
Documentation https://docs.numer.ai
Forum https://forum.numer.ai

Users

Numerai user Discord user Notes
0xleo Leo  
Zyberal Joo  

Links

  • https://github.com/numerai/example-scripts
  • https://colab.research.google.com/github/numerai/example-scripts/blob/master/feature_neutralization.ipynb

The following pages link here

Citation

If you find this work useful, please cite it as:
@article{yaltirakli,
  title   = "Numerai",
  author  = "Yaltirakli, Gokberk",
  journal = "gkbrk.com",
  year    = "2024",
  url     = "https://www.gkbrk.com/numerai"
}
Not using BibTeX? Click here for more citation styles.
IEEE Citation
Gokberk Yaltirakli, "Numerai", October, 2024. [Online]. Available: https://www.gkbrk.com/numerai. [Accessed Oct. 10, 2024].
APA Style
Yaltirakli, G. (2024, October 10). Numerai. https://www.gkbrk.com/numerai
Bluebook Style
Gokberk Yaltirakli, Numerai, GKBRK.COM (Oct. 10, 2024), https://www.gkbrk.com/numerai

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