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Real time stock and option data.
The main features of mcdallas/wallstreet are: Data Sources, Data Storage and Sources, Market Data Sources.
Projects with overlapping indexed features include: jerbouma/fundamentalanalysis — FundamentalAnalysis is a comprehensive financial analysis library, quantitative finance framework, and macroeconomic… pydata/pandas-datareader — Extract data from a wide range of Internet sources into a pandas DataFrame. akfamily/akshare — This project is a Python library designed for the programmatic retrieval and analysis of diverse financial datasets.… cuemacro/findatapy — Python library to download market data via Bloomberg, Eikon, Quandl, Yahoo etc. openbb-finance/openbbterminal — OpenBBTerminal is a Python financial data platform and command line interface designed for aggregating and analyzing… ranaroussi/yfinance — This library is a Python-based tool for retrieving historical and real-time financial market data from public sources.…
Python library to download market data via Bloomberg, Eikon, Quandl, Yahoo etc.
FundamentalAnalysis is a comprehensive financial analysis library, quantitative finance framework, and macroeconomic data integrator. It provides tools for computing financial ratios, executing corporate health metrics, and pricing derivatives and bonds using mathematical models. The project integrates diverse data streams, including global economic indicators, real-time market quotes, and standardized corporate financial statements. It features a technical analysis engine for generating momentum and volatility indicators, as well as a portfolio performance analyzer for tracking risk-adjusted
This 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
OpenBBTerminal is a Python financial data platform and command line interface designed for aggregating and analyzing market data from diverse APIs. It serves as a quantitative analysis tool for processing stock, crypto, and derivative datasets to identify market trends and build investment strategies. The project utilizes a pluggable financial API framework with an adapter-based architecture, allowing external financial data providers to be integrated as independent modules. This system standardizes information from public and proprietary sources into a unified layer to support cross-asset an