Our great sponsors
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
vnpy
-
Examples of projects and resources using good Python OOP code for quant applications
https://github.com/vnpy/vnpy is the most widely used opensource python quant framework in china
wtpy
What are some alternatives?
QUANTAXIS - QUANTAXIS 支持任务调度 分布式部署的 股票/期货/期权 数据/回测/模拟/交易/可视化/多账户 纯本地量化解决方案
wondertrader - WonderTrader——量化研发交易一站式框架
qlib - 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.
pyOnvista - A tiny API for onvista.de financial website.
zvt - modular quant framework.
bankroll - Ingest portfolio and other data from multiple brokerages, and analyze it
AXOrderBook - A股订单簿工具,使用逐笔行情进行订单簿重建、千档快照发布、各档委托队列展示等,包括python模型和FPGA HLS实现。
fcore - Fcore Is an AI Framework for Financial Markets Analysis (Active Development).
wallstreetbets-sentiment-analysis - This program finds the most mentioned ticker on r/wallstreetbets and uses Vader SentimentIntensityAnalyzer to calculate the sentiment analysis.