Is it possible to use artificial intelligence for example method like reinforcment learning, LSTM, ... in predicting the price of stocks or currencies like Bitcoin, etc.? And has the work been implemented and had a positive result so far?! If the answer is yes, what is the best method?
A few jump out as being explicitly about predicting prices.
Culkin, Robert, and Sanjiv R. Das. "Machine learning in finance: the case of deep learning for option pricing." Journal of Investment Management 15.4 (2017): 92-100.
De Spiegeleer, Jan, et al. "Machine learning for quantitative finance: Fast derivative pricing, hedging and fitting." Quantitative Finance 18.10 (2018): 1635-1643.
McNally, Sean, Jason Roche, and Simon Caton. "Predicting the price of bitcoin using machine learning." 2018 26th euromicro international conference on parallel, distributed and network-based processing (PDP). IEEE, 2018.
Chen, Zheshi, Chunhong Li, and Wenjun Sun. "Bitcoin price prediction using machine learning: An approach to sample dimension engineering." Journal of Computational and Applied Mathematics 365 (2020): 112395.
Further, it’s easy to find postings about machine learning jobs at financial firms.
Consequently, I say that finance is at least interested in applying modern machine learning methods in the pursuit of accurate predictions of asset prices.
Finally, no post on financial machine learning resources would be complete without mentioning Advances in Financial Machine Learning, written by a guy from the hedge fund AQR Capital Management.
No! I don't think so, price action and or the fluctuating value of any stock, option, commodity or currency is totally random. However, there or indicators and software out there that do make fairly good assumptions or predictions but none are not perfect I don't believe.