Statistics for topic financial-data
RepositoryStats tracks 584,797 Github repositories, of these 89 are tagged with the financial-data topic. The most common primary language for repositories using this topic is Python (40). Other languages include: Jupyter Notebook (13)
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A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
A python wrapper for Alpha Vantage API for financial data.
Statistical Jump Models in Python, with scikit-learn-style APIs
Find and download SEC filings. Built on top of sec-edgar-downloader.
Parse SEC EDGAR HTML documents into a tree of elements that correspond to the visual (semantic) structure of the document.
Statistical Jump Models in Python, with scikit-learn-style APIs
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
Tool for the retrieval of corporate and financial data from the SEC
Parse SEC EDGAR HTML documents into a tree of elements that correspond to the visual (semantic) structure of the document.
A comprehensive open-source toolkit for AI-powered analysis and interpretation of SEC EDGAR filings, providing valuable insights for investors, fintech developers, and researchers.
FinPT: Financial Risk Prediction with Profile Tuning on Pretrained Foundation Models