Dmitry Lukovkin, CEO of StocksNeural.net, communicates his outlook on the application of Deep Learning to the problem of the stock prices analysis and prediction in the AI section of the “Startup Innovation and investment in Emerging Europe" report by EWDN.
- Straight-forward approach using RNN for future prices predictions seems to be inefficient
- Customized CNN-based architectures show better results
- Deep Reinforcement Learning applied directly to the trading decision making could be a game-changer
- Industry adoption of Deep Learning-powered trading will rise both on traditional and crypto markets.
You can download the report here - http://cee.ewdn.com/.