Forecasting stock quotes of Amazon Inc. using a Bilstm-Attention neural network

Автор: Kuznetsov R.S.

Журнал: Экономика и бизнес: теория и практика @economyandbusiness

Статья в выпуске: 10-2 (104), 2023 года.

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On the stock market, there is a daily movement of capital between its participants. Stock market players can both make significant profits and lose all invested funds. The success of transactions on the stock exchange largely depends on the correct analysis of market conditions and the correct forecast of the movement of quotations of the assets of interest. As part of the study, the authors trained and tested a BiLSTM-Attention neural network, which can be used as an auxiliary tool in predicting market quotations.

Lstm

Короткий адрес: https://sciup.org/170200838

IDR: 170200838   |   DOI: 10.24412/2411-0450-2023-10-2-19-23

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