3 repository-uri
Awesome GitHub RepositoriesIndustry Classification Systems
Frameworks for categorizing companies and market data into standardized industry sectors.
Distinct from Industry Knowledge Sources: Distinct from IoT or media industry sources: focuses on financial market classification standards.
Explore 3 awesome GitHub repositories matching data & databases · Industry Classification Systems. Refine with filters or upvote what's useful.
Awesome Industry Classification Systems GitHub Repositories
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- stefan-jansen/machine-learning-for-trading
stefan-jansen/machine-learning-for-trading
16,552Vezi pe GitHubThis project is a comprehensive framework for engineering financial data pipelines, designed to automate the collection, cleaning, and synchronization of large-scale market datasets. It functions as a quantitative trading data engine, providing the infrastructure necessary to manage historical and real-time asset pricing information for research and machine learning workflows. The system distinguishes itself through a configuration-driven approach to orchestration, allowing users to manage complex data acquisition tasks across multiple financial providers. It features resilient middleware tha
Downloads historical performance data for industry-specific portfolios to analyze sector-based market trends.
Jupyter Notebookartificial-intelligencedata-sciencedeep-learning - akfamily/akshare
akfamily/akshare
16,358Vezi pe GitHubThis project is a Python library designed for the programmatic retrieval and analysis of diverse financial datasets. It functions as a comprehensive toolkit for quantitative research, providing a unified interface to fetch historical and real-time market data across asset classes including equities, futures, bonds, cryptocurrencies, and foreign exchange. By abstracting complex network requests into simple, parameter-driven functions, it enables users to integrate financial data into research workflows and automated trading systems. The library distinguishes itself through its scraper-based ag
Enables categorization of financial data based on standard industry classification systems.
Pythonacademicakshareasset-pricing - 1nchaos/adata
1nchaos/adata
4,632Vezi pe GitHubThis project is a financial market data API and quantitative analysis tool designed to aggregate metrics, scrape web data, and monitor market sentiment. It functions as a financial indicator aggregator and stock market web scraper that provides a programmatic interface for retrieving stock prices, indices, and ETF metadata from multiple data providers. The system differentiates itself through a dedicated market sentiment monitor and investment risk assessment capabilities. It tracks investor behavior via northbound capital flows, dragon-tiger lists, popularity rankings, and security margin ba
Returns first- and second-level industry classifications for specific stocks based on standardized systems.
Python3000achina
