1 repo
Awesome GitHub RepositoriesTemporal Data Management
Systems that enforce strict historical boundaries to ensure data integrity and prevent information leakage in time-series analysis.
Distinguishing note: Focuses on point-in-time integrity for backtesting rather than general database versioning.
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Awesome Temporal Data Management 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
Enforces strict historical boundaries to prevent future information leakage during backtesting and model training.
Pythonalgorithmic-tradingauto-quantdeep-learning
