Прогнозування цін на акціїї використовуючи LSTM

Abstract

Predicting a fast and accurate model for stock price forecasting is been a challenging task and this is an active area of research where it is yet to be found which is the best way to forecast the stock price. Many techniques to forecast the value of the stock market index have been developed in the fields of probability theory, statistics, and machine learning. Recurrent neural networks, or RNNs, have been incredibly successful in the previous several years when applied to a wide range of issues, including picture captioning, language modeling, speech recognition, and translation. The usage of "LSTMs", a highly specific type of recurrent neural network that performs far better than the regular version for many tasks, is crucial to these accomplishments.