HIGHLIGHTS
- What: This investigation emphasizes the critical role that model choice plays in achieving dependable prognostications of stock prices and lays down a groundwork for future studies aiming to merge these models with a broader spectrum of financial metrics. The aim is to review pertinent literature about neural_network techniques to stock market prediction. To accomplish this, a systematic literature review (SLR) was conducted for this study. The aim of this study is to explore whether the algorithm can accurately predict stock prices, even if stock prices have the characteristics of dynamic changes and rapid fluctuations.
- Who . . .
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