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Source code for Algorithmic Trading with Python (2020) by Chris Conlan
The main features of chrisconlan/algorithmic-trading-with-python are: Machine Learning Models, Trading and Backtesting, Educational Resources.
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This project is a comprehensive framework for engineering financial data pipelines, designed to automate the collection, cleaning, and synchronization of large-scale market datasets. It functions as a quantitative trading data engine, providing the infrastructure necessary to manage historical and real-time asset pricing information for research and machine learning workflows. The system distinguishes itself through a configuration-driven approach to orchestration, allowing users to manage complex data acquisition tasks across multiple financial providers. It features resilient middleware tha
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