scaomath/kaggle-jane-street
Machine learning models to predict realtime financial market data provided by Jane Street
This project helps quantitative traders and financial analysts predict real-time stock market movements. It takes anonymized historical high-frequency trading data as input and outputs a recommended 'action' (buy or pass) for individual trading opportunities. The goal is to maximize trading utility, and it's designed for professionals managing investment portfolios.
No commits in the last 6 months.
Use this if you are a quantitative trader or financial analyst seeking to predict short-term stock market actions based on high-frequency trading data.
Not ideal if you need to understand the fundamental drivers behind stock price movements, as it focuses on pattern recognition in anonymized features.
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50
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16
Language
Python
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Last pushed
Aug 29, 2021
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