#Awesome#A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
翻译 - 精选的Quants（定量金融）极好的图书馆，软件包和资源清单
yfinance 是一个用于下载雅虎金融数据的Python包
#数据仓库#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
翻译 - 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
#区块链#A python wrapper for Alpha Vantage API for financial data.
翻译 - 用于财务数据的Alpha Vantage API的python包装器。
Transparent and Efficient Financial Analysis
Extract data from a wide range of Internet sources into a pandas DataFrame.
翻译 - 从各种Internet来源中提取数据到pandas DataFrame中。
#数据仓库#Open Data, more than 50 financial data. 提供超過 50 個金融資料(台股為主)，每天更新 https://finmind.github.io/
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
Financial Data Extraction from Investing.com with Python
A TD Ameritrade API client for Python. Includes historical data for equities and ETFs, options chains, streaming order book data, complex order construction, and more.
简单易用的量化金融数据包(easy utility for getting financial market data of China)
A powerful financial data module used for pulling data from Yahoo Finance. This module can pull fundamental and technical data for stocks, indexes, currencies, cryptos, ETFs, Mutual Funds, U.S. Treasu...
#时序数据库#Bringing financial analysis to the tidyverse
Detailed web scraping tutorials for dummies with financial data crawlers on Reddit WallStreetBets, CME (both options and futures), US Treasury, CFTC, LME, MacroTrends, SHFE and alternative data crawle...
#网络爬虫#📊 Financial markets data library implemented in go.
#区块链#Finance application that provides more than 60 different alternative data to retail investors
翻译 - 股票分析应用
📈 Download filings from the SEC EDGAR database using Python
Current and Historical Lists of S&P 500 components since 1996
#计算机科学#HISTDATA - Dataset composed of all FX trading pairs / Crude Oil / Stock Indexes. Simple API to retrieve 1 Minute data (and tick data) Historical FX Prices (up to date).