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Abstract: In this study, we compare the stock prediction performance of stacked LSTM, ARIMA, and linear regression models. Our objective is to determine which model ...

Abstract: This paper explores Deep Reinforcement Learning (DRL) algorithms for autonomous stock trading, aiming to replace stockbrokers with more efficient and profitable strategies. The study focuses ...