Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Abu | 10,540 | a year ago | 2 | gpl-3.0 | Python | |||||
阿布量化交易系统(股票,期权,期货,比特币,机器学习) 基于python的开源量化交易,量化投资架构 | ||||||||||
Stocksharp | 6,569 | 171 | 5 months ago | 177 | December 08, 2023 | 8 | apache-2.0 | C# | ||
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options). | ||||||||||
Financial Machine Learning | 5,277 | 8 months ago | 5 | Python | ||||||
A curated list of practical financial machine learning tools and applications. | ||||||||||
Rqalpha | 5,091 | 16 | 6 | 8 months ago | 156 | December 07, 2023 | 24 | other | Python | |
A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities | ||||||||||
Backtesting.py | 4,457 | 2 | 8 months ago | 21 | December 13, 2021 | 142 | agpl-3.0 | Python | ||
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python. | ||||||||||
Rl Stock | 2,419 | 2 years ago | 31 | mit | Jupyter Notebook | |||||
📈 如何用深度强化学习自动炒股 | ||||||||||
Blankly | 2,073 | 1 | 5 months ago | 112 | July 23, 2023 | 24 | lgpl-3.0 | Python | ||
🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package. | ||||||||||
Mop | 1,848 | 8 months ago | 10 | December 05, 2021 | mit | Go | ||||
Stock market tracker for hackers. | ||||||||||
Gym Anytrading | 1,751 | a year ago | 4 | mit | Python | |||||
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym) | ||||||||||
Robin_stocks | 1,550 | 3 | 20 | 9 months ago | 77 | August 07, 2023 | 223 | mit | Python | |
This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. More info at |