On a mission to solve Algo Trading with AI, one commit at a time.
π₯ Mission
Weβre on a journey to advance and democratize Algo Trading for everyone. Along the way, we contribute to the development of technology for the better.
βοΈ A database of Trading Strategies
Research papers. Performance metrics. Python code. Market data. Get better trading ideas with our database.
βοΈ A state-of-the-art Trading Course
Itβs hard to beat the market if you arenβt state-of-the-art. Learn how to use artificial intelligence to extract alpha.
βοΈ A collection of Trading Datasets
Historical stock market. Technical & economic indicators. Market news. Enhance your trading decisions with our datasets.
βοΈ An open-source Trading Platform
Leading, open-source, and full-featured quantitative trading platform for backtesting and production, based on Python.
π‘ Trading Strategies
Research papers. Performance metrics. Python code. Market data. Get better trading ideas with our database.
π‘Β Bonds (7) β
π‘Β Commodities (50) β
π‘Β Currencies (67) β
π‘Β Equities (471) β
π‘Β Options (8) β
π‘Β Equities / Options (24) β
π‘Β Equities / REITs (1) β
π Trading Course
Itβs hard to beat the market if you arenβt state-of-the-art. Enhance your trading knowledge.
πΎ Trading Data
Historical stock market. Technical & economic indicators. Market news. Enhance your trading decisions with our datasets.
Perimeter data
πΎΒ S&P 500 constituents β
πΎΒ All (US) stocks β
Market data
πΎΒ Time series daily β
πΎΒ Time series 1mn β
πΎΒ Short interest β
πΎΒ Extended trading β
Financial data
πΎΒ Revenue estimate β
πΎΒ EPS trend β
πΎΒ EPS revisions β
πΎΒ Earnings β
πΎΒ Earnings estimate β
πΎΒ Earnings forecast β
πΎΒ Earnings surprise β
Alternative data
πΎΒ News β
π€ Trading Platform
The market's leading open-source full-featured quantitative trading framework, based on Python.
VeighNa is a full-featured quantitative trading platform that has many users, including hedge funds, investment banks, universities, and proprietary trading companies.
The original version of VeighNa is in Chinese. Here we provide the first version in English: