预测股票市场价格的智能技术:一项重要研究

Esra’a Alshabeeb, M. Aljabri, R. Mohammad, Fatemah S. Alqarqoosh, Aseel A. Alqahtani, Zainab T. Alibrahim, Najd Y. Alawad, Mashael A. Alzeer
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引用次数: 0

摘要

无论职业背景如何,股票市场都是许多人感兴趣的一个令人兴奋的领域。这是一个拥有足够知识的个人可以加入并赚取额外收入的市场。如今,生活费用增加了。因此,投资股票的人正在急剧增加。任何人都可以在任何时候开始参与股票市场,但并不能保证他们会从这种投资中获利。股票市场是一个有风险的投资领域,因为股票是涨是跌是未知的。利用人工智能技术进行股市预测是帮助人们预测股市走向的一种可能方法。目前的研究表明,许多因素有助于改变股票市场价值,特别是在沙特股市。据我们所知,大多数研究在预测股票市场趋势时只考虑历史数据。然而,本研究旨在通过考虑历史和情感数据来提高三个沙特股票市场部门的每日收盘价的准确性。考虑了几种智能算法,并对它们的性能指标进行了讨论和比较。本研究的结论是,利用历史和情感数据可以产生更准确的股市预测模型。
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Intelligent Techniques for Predicting Stock Market Prices: A Critical Survey
The stock market is an exciting field of interest to many people regardless of their occupational background. It is a market where individuals with adequate knowledge can join and earn an additional income. Nowadays, life expenses have increased. Hence, the number of people investing in stocks is increasing dramatically. Anyone may indeed start participating in the stock market at any time, yet it is not ensured that they will profit from this investment. The stock market is a risky field of investment, given that it is unknown whether the stock will rise or fall. Stock market prediction using Artificial Intelligence techniques is a possible way to help people anticipate stock market directions. Current research showed that many factors aid in changing the stock market value in general and specifically in the Saudi stock market. To our knowledge, most research studies only consider historical data in predicting stock market trends. However, this research aims to enhance the accuracy of the daily closing price for three Saudi stock market sectors by considering historical and sentimental data. Several intelligent algorithms are considered, and their performance indicators are discussed and contrasted against each other. This research concluded that more accurate stock market prediction models could be produced by employing historical and sentimental data.
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