Abstract: Future stock prices are frequently predicted using historical financial entity prices. This paper uses a two-layer reasoning technique to present a novel financial entity price prediction model. The first layer directs the second layer, which relies on learning techniques, using domain knowledge acquired from scientific study.An effective money management approach is added to the model to increase its performance. When choosing whether to buy, sell, or do nothing, this method takes into account the past performance of the model's predictions as well as the investor's available funds. The development of deep learning mining, which seeks to identify profitable technical trading patterns made up of combinations of indicators taken from previous financial data series, distinguishes this work from others. Trading guidelines are regarded as these patterns.
Keywords: Stock Market, RNN.
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DOI:
10.17148/IJARCCE.2023.125219
