学生对 纽约金融学院 提供的 Reinforcement Learning for Trading Strategies 的评价和反馈
课程概述
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It was easy to follow but not easy. I learned a lot and I now have the confidence to implement Reinforcement learning to my own FX trading strategies. Thank you so much.
Great introduction to some very interesting concepts. Lots of hands on examples, and plenty to learn
26 - Reinforcement Learning for Trading Strategies 的 35 个评论（共 35 个）
创建者 Jakub K
•I learned a few cool things. The main problem with this specialization is that the Machine Learning Stuff and Finance stuff are really separated (Google, NY univ). What I was looking for is the place where two concepts meets. Also i felt like ML stuff went too deeply too fast. Still... Cool Introduction.
创建者 WAI F C
•The course could be improved if the lab included stock trading related works for both RL and LSTM. I had already learned stock trading with RL and LSTM before I took this class.
创建者 Aadam
•It is geared more towards people who already have an understanding of the stock market and its lingo. Not much information about stock market lingo for a beginner.
创建者 Dmitrievskiy A
•Reinforcement learning tasks are not related to financial domain. Financial topics are superficial. Course for absolute newbies in RL and FinTech
创建者 Oliver P
•While there were a lot of interesting concepts in this course, I didn't feel that I learned a lot from it and certainly was nowhere near implementing what I wanted to. It pushes Google's cloud services so you're on your own if you want to program on your own computer. I've since completed a course by deeplearning.ai (not trading focussed) which I felt was a lot better, I learned a lot of theory to develop an understanding of what they're teaching as well as practical coding assignments that I felt I could actually take the code and apply to my own projects.
Google pushes its ability to learn from BigData but I really don't consider stock data to be BigData, at least if you're processing a single instrument/currency/stock at a time. If you're trying to go down to tick level data then you're going to have more problems with lag and execution making processing that amount of data a bit pointless... unless that's really really what you want/need to be doing.
To be fair to this course, it is good to know what is out there should it be suitable for your challenges and yeah, they can process a massive, huge, gigantic amount of data very quickly.
创建者 David G
•Few financial applications. RL is a complex notions. Exerices are too difficult.
创建者 Novi K
•not really make me statisfied
创建者 Biagio B
•Most of the course is a generic lecture about RL and LSTM taken from other courses. The rest is mostly advertisement for GoogleCloud, which it is not useful since you could do all exercises on a local laptop. Only a fraction of the course talks about finance and it is so generic that cannot be applied to any real world case.
创建者 Tony H
•The learning curve is broken. It's like teach you 1+1=2 first, then you need to do calculus yourself, and lecturer say "see, it's easy" and move on to deep neural network now......
创建者 Nitin K
•Highly limited information with extremely steep learning curve.
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