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Awesome GitHub RepositoriesCentralized Data Management Systems
Systems for storing and accessing large-scale datasets with caching for high performance.
Distinguishing note: Focuses on high-throughput data management for quantitative research.
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Awesome Centralized Data Management Systems 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
Stores and accesses information from a central server that uses advanced caching techniques to speed up calculations.
Pythonalgorithmic-tradingauto-quantdeep-learning
