π¨BREAKING: Microsoft open-sourced an AI Quant investment platform in Python
This is what you need to know:
(a thread)
1. What is Qlib?
Qlib is an open-source, 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 production.
Qlib is an open-source, 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 production.
2. How it works
Qlib provides an automated quant research workflow that builds the dataset, trains models, backtests, and evaluates the results.
Qlib provides an automated quant research workflow that builds the dataset, trains models, backtests, and evaluates the results.
3. Online Serving
One of the best features of Qlib is the ability to publish your strategies to production. It does this via it's Online Serving feature.
One of the best features of Qlib is the ability to publish your strategies to production. It does this via it's Online Serving feature.
Get Qlib 100% free on Github: github.com/microsoft/qlib
Want to become a pro algorithmic trader with Python?
β’ QSConnect: Build your quant research database
β’ QSResearch: Research and run machine learning strategies
β’ Omega: Automate trade execution with Python
π Join Our Free Workshop: οΏΌlearn.quantscience.io/become-a-pro-qβ¦
β’ QSConnect: Build your quant research database
β’ QSResearch: Research and run machine learning strategies
β’ Omega: Automate trade execution with Python
π Join Our Free Workshop: οΏΌlearn.quantscience.io/become-a-pro-qβ¦
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