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Awesome GitHub RepositoriesTrading Strategy Implementations
Frameworks for defining and executing custom portfolio management logic.
Distinguishing note: Focuses on the implementation of trading logic rather than general strategy design.
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Awesome Trading Strategy Implementations 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
Defines custom portfolio management logic by extending base classes to generate specific trade decisions.
Pythonalgorithmic-tradingauto-quantdeep-learning
