Introduction-to-Quantitative-Finance
AI+金融（量化）：1.多因子股票量化框架开源教程 2.学界和业界的经典资料收录 3.AI + 金融的相关工作，包括LLM, Agent, benchmark(evaluation), etc.
Explore resources and tutorials for quantitative finance, focusing on AI applications in investment and research.
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Introduction-to-Quantitative-Finance has 1.7k stars on GitHub. It has been forked 180 times. Introduction-to-Quantitative-Finance is written mainly in Python. It has been in active development since 2023. Introduction-to-Quantitative-Finance is available under the MIT license. Its main topics are agent, ai4fin, finance, investment.
What is Introduction-to-Quantitative-Finance?
AI+金融（量化）：1.多因子股票量化框架开源教程 2.学界和业界的经典资料收录 3.AI + 金融的相关工作，包括LLM, Agent, benchmark(evaluation), etc.
Is Introduction-to-Quantitative-Finance open source?
Introduction-to-Quantitative-Finance is an open-source project. It is released under the MIT license.
Is Introduction-to-Quantitative-Finance free?
Yes. Introduction-to-Quantitative-Finance is free and open source — you can use, modify and self-host it.
What license does Introduction-to-Quantitative-Finance use?
Introduction-to-Quantitative-Finance is available under the MIT license.
What language is Introduction-to-Quantitative-Finance written in?
Introduction-to-Quantitative-Finance is written mainly in Python.
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