gianlucatruda/numerai
Quant. trading with ML on Numerai
This project offers a collection of Jupyter notebooks and Python code used for generating weekly stock market predictions. It takes in Numerai's challenging tabular financial datasets and outputs predictions that can be submitted to the Numerai tournament, contributing to a hedge fund's positions. It's designed for quantitative traders or data scientists interested in algorithmic trading and machine learning applications in finance.
No commits in the last 6 months.
Use this if you are a quant trader or data scientist looking for a starting point and inspiration to develop and test your own machine learning models for the Numerai stock market prediction tournament.
Not ideal if you are looking for a plug-and-play solution for live trading or a fully maintained, up-to-date model ready for immediate deployment, as the underlying dataset has changed since these models were actively used.
Stars
7
Forks
3
Language
Jupyter Notebook
License
MIT
Category
Last pushed
May 07, 2024
Commits (30d)
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