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🚨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.
2. How it works 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.
Get Qlib 100% free on Github: <a target="_blank" href="https://github.com/microsoft/qlib" color="blue">github.com/microsoft/qlib</a>
Want to become a pro algorithmic trader with Python? • QSConnect: Build your quant research database • QSResearch: Research and run machine learning strategies • Omega: Automate trade execution with Python 👉 Join Our Free Workshop: <a target="_blank" href="https://learn.quantscience.io/become-a-pro-quant-trader-with-python" color="blue">learn.quantscience.io/become-a-pro-q…</a>
That's a wrap! Over the next 24 days, I'm sharing my top 24 algorithmic trading concepts to help you get started. If you enjoyed this thread: 1. Follow me @quantscience_ for more of these 2. RT the tweet below to share this thread with your audience <a target="_blank" href="https://twitter.com/1683526993059430411/status/1971606816615198852" color="blue">x.com/16835269930594…</a>