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学生对 Coursera Instructor Network 提供的 GenAI for Algorithmic Trading 的评价和反馈

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10 个评分

课程概述

In the rapidly evolving world of finance, algorithmic trading strategies powered by generative AI (GenAI) are transforming how traders approach the markets. This hands-on course is designed to equip traders, financial analysts, and developers with the skills to leverage GenAI for enhanced trading performance. Participants will delve into setting up a GenAI trading environment, creating custom AI-driven strategies, and automating trading processes. Through real-world examples and practical exercises, learners will gain the expertise to build, test, and deploy GenAI-enhanced trading systems, making this course an essential toolkit for modern algorithmic trading. This course is designed for algorithmic traders, financial analysts, developers, and anyone interested in applying AI in trading. A foundational understanding of financial markets, trading principles, Python programming, as well as basic knowledge of machine learning (ML) and neural networks (NN), is recommended. By the end of this course, the learner will be able to create and test different GenAI based trading strategies. The learner will also be to optimize their portfolio using GenAI and other advanced techniques such as sentiment analysis....

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1 - GenAI for Algorithmic Trading 的 4 个评论（共 4 个）

创建者 Manan K

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May 3, 2025

I really enjoyed the online course. It was well planned and laid out, with each module building logically on the last. The instructor’s explanations were clear, and the real-world examples helped me understand complex concepts quickly. Thank you so much :)

创建者 ADITYA G

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Sep 20, 2025

its a good course if you are just starting your first step in algo trading.

创建者 Rakonak Y

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Sep 24, 2025

its not a full course....need to add more topics like demat account integration with AI trade bot, how to make bot---need more detailed course. It seems like overview of course!

创建者 Kris K

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Sep 26, 2025

95% was not about GenAI and trading. The last 5% was about simple sentiment analysis. Every model trained during the course was worse than a buy/hold strategy. This is only worth your time if you have never coded ML or looked into trading.