With the rise of open source development, more and more high-quality investment databases and datasets are being shared on code hosting platforms like GitHub. For investment analysts and quantitative researchers, open source databases can significantly improve workflow efficiency and lower costs. This article will introduce several noteworthy open source investment manager databases available on GitHub.
Comprehensive databases covering major markets and asset classes
Paragraph on comprehensive databases like Quandl, Intrinio etc.
Datasets focused on specific markets or securities
Paragraph on datasets like SEC EDGAR, Sharadar etc.
Resources tailored for algorithmic trading strategies
Paragraph on resources like Quantopian, QuantConnect etc.
APIs and tools to access real-time market data
Paragraph on tools like Tiingo, Alpaca API etc.
GitHub hosts a wealth of open source investment databases that can empower investors and quantitative analysts. With proper evaluation and integration, these resources have the potential to significantly boost investment research productivity.