Abstract
The rapid development of technologies in the field of artificial intelligence and the emergence of new neural network architectures has an impact on companies associated with the stock market. Various neural networks can predict the trend and values of stock quotes with high accuracy. The ability to correctly select the necessary neural networks and their parameters becomes an important competitive advantage for companies operating in the stock market. The study reflects the effectiveness of using bidirectional LSTM neural networks with an additional attention mechanism, and also tested different numbers of previous days taken into account when predicting future values.
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