Goal is to develop system to predict short term stock market price movement using Deep Learning/Reinforcement Learning/Q Learning/Transfer Learning approaches employing models like AlphaGo/AlphaGo Zero to accomplish more accurate prediction and greater reliability, as well as to speed up the development process. I would also be interested in using existing DL systems such as those used in object recognition/ImageNet &/or NLP to accomplish the tasks.
Note that I have no interest in pursing LSTM type approaches or those that attempt to use algorithms primarily intended for stationary data. In other words, no regression oriented types of systems.
I am not working for any company or organization and I am doing this for my own interest using my own money, Mostly, I am doing this to satisfy my curiosity now that I am retired. I do not code but have a strong background in science and technology and a reasonably good general understanding of the basic principles of AI/ML/DL.
Any proposals must include a time line with milestones, deliverables and estimated times.
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I read your description, It's very nice that you have on your own interest , It'll be good to know exactly what type of problem is your consideration, We can deal with together