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The subject of research is the consideration of potential use of Echo State Networks (ESN) for prediction of stock prices. The reasons are: 1) stock prices show non stationary behaviour and ESN is well suited to time series prediction of chaotic systems; 2) implementation in optical domain can bring very fast inference and financial market transactions requires prompt brought decisions; 3) training time of ESN is short and doesn’t require special hardware like training deep Feedforward Neural Network (NNs). Although there is only a few studies about using ESN for prediction financial data (pricing of securities subject of trade, and their volumes), it can be concluded than ESNs have great potential to be used in prediction of the stock prices. Having in mind the intention of the Serbian government to stimulate issuing of bonds, ESN can be applied on Belgrade Stock Exchange.

Echo State Networks Usage for Stock Price Predictions