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Awesome GitHub RepositoriesQuantitative Research Platforms
Integrated environments for the end-to-end development and testing of quantitative financial strategies.
Distinguishing note: Focuses on the research lifecycle rather than just the execution of trades.
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Awesome Quantitative Research Platforms GitHub Repositories
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- microsoft/qlib
microsoft/qlib
37,586View on GitHubThis project is a comprehensive platform for quantitative investment research, machine learning, and algorithmic trading. It provides an end-to-end environment for developing, testing, and executing financial strategies, supporting the entire lifecycle from data ingestion and feature engineering to model training and backtesting. The system is distinguished by its configuration-driven workflow orchestration, which allows researchers to automate complex pipelines and manage experiments through declarative files. It features a high-performance data infrastructure that utilizes custom binary for
Provides an end-to-end pipeline for developing and testing financial trading strategies through data ingestion and model training.
Pythonalgorithmic-tradingauto-quantdeep-learning
