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Awesome GitHub RepositoriesTrading Strategy Definitions
Frameworks for codifying financial logic, signal generation, and automated decision-making rules.
Distinguishing note: Specific to financial trading logic rather than generic business process automation.
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Awesome Trading Strategy Definitions 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
Enables the definition of custom logic for market predictions and automated trading decisions.
Pythonalgorithmic-tradingauto-quantdeep-learning
