Paulescu/bytewax-hopsworks-example
Compute and store real-time features for crypto trading using Bytwax (stream processing) and Hopsworks (Feature Store)
This project helps quantitative traders and analysts build robust crypto trading strategies by processing raw, real-time cryptocurrency trade data from exchanges like Coinbase. It transforms this raw data into usable OHLC (Open, High, Low, Close) features, which are then stored for immediate use in predictive models or trading algorithms. The end-user is typically a quantitative researcher, data scientist, or financial engineer working on automated trading systems.
146 stars. No commits in the last 6 months.
Use this if you need to generate, store, and access real-time market features for crypto trading models and want to avoid managing complex data infrastructure.
Not ideal if you are looking for a complete trading bot or backtesting platform, or if you only work with historical, batch-processed financial data.
Stars
146
Forks
14
Language
Python
License
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Category
Last pushed
Jun 28, 2023
Commits (30d)
0
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