Succinct and great explanation of deep reinforcement learning methods with amazing demo lab scripts

This content really is ahead of the Business As Usual.

Congrats!

Need more time to finish the ML model

Muy buen curso.!

perfect!

Provide the idea and method of RL for trading, but seems like less practice knowledge for the trading. hope can add more detail for for the trading build up. overall the course are good.

Great course, exactly what I was looking for! But there were some technical difficulties on practical tasks ...

I look forward to examples of integration of decision based on reinforcement learning and algo-trading logic

A touhg and very advanced course, with an amazing Google Cloud Platform !!!!

Nice with the RL classes, it is a bit random.

There are some lectures on RL and some on Trading. But there aren't enough materials on the application of RL to Trading. It just talks about some high level concepts on how it could be used. We could get this from any basic article on RL and Trading. Even the last exercise is not RL on Trading. It's just a machine learning exercise to predict S&P500's direction. Basically there is zero example and exercise on RL for Trading Strategies, which is the main topic.

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.

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.

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.

Reinforcement learning tasks are not related to financial domain. Financial topics are superficial. Course for absolute newbies in RL and FinTech

no actual model on stock prediction using RL

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.

There is no real application of RL in trading in this course. They just first skim quickly to the basics of RL, quite superficially, then they explain the basics of portfolio management. These two rails go parallel and never touch each other. Moreover, the part covering RL, MDP, TD and Q Learning is illustrated too fast to understand any subtle points, with too many details (equations quickly explained, code fragments gone through in a minute or too) put together roughly to be a qualitative introduction.

A few interesting nuggets buried in a mess of cobbled together material, dodgy slide decks with poorly formatted code snippets, all combined with the annoying "QwikLabs" that takes about 3 minutes to start for every single assessment. This could be so much better.

Few financial applications. RL is a complex notions. Exerices are too difficult.

not really make me statisfied

Way below expectations!

I​ went through the first two classes in this specialization to get to the reinforcement learning material. Total waste of time. The RL material consists of an introduction to RL in general, and some pre-done notebooks that execute RL on ai gym. None of it has anything to do with trading strategies. The finance lectures, of course, do relate to trading strategies, but they're just advice - it's all "do x, don't do y," with no explanation of *how* to do x or avoid doing y.

Too general to pursue any meaningful work with RL for trading. The class is trying to cover too much material from too many different angles to be useful.

Highly limited information with extremely steep learning curve.