A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
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Updated
May 9, 2024 - Python
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
TuShare is a utility for crawling historical data of China stocks
Download market data from Yahoo! Finance's API
This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.
Extract data from a wide range of Internet sources into a pandas DataFrame.
Transparent and Efficient Financial Analysis
A javascript technical indicators written in typescript with pattern recognition right in the browser
Unofficial Documentation of Robinhood Trade's Private API
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
Real time stock and option data.
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
雪球股票数据接口 python edition
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. Treasuries, and commodity futures.
An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎
简单易用的量化金融数据包(easy utility for getting financial market data of China)
Python wrapper for an unofficial Yahoo Finance API
The official Python client library for the Polygon REST and WebSocket API.
📊 Financial markets data library implemented in go.
Python SDK for IEX Cloud
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