一项关于股票市场预测近期趋势的系统文献调查
Prakash Balasubramanian1, Chinthan P2, Saleena Badarudeen1
1School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, Tamil Nadu, India.
PeerJ. Computer science
|March 4, 2024
概括
预测股票市场趋势是复杂的. 本研究回顾了各种技术,从传统指标到现代人工智能,以帮助投资者选择最佳的金融市场预测模型.
科学领域:
- 金融市场 金融市场
- 计算金融是指计算金融.
- 数据科学数据科学数据科学
背景情况:
- 股票市场预测在历史上具有挑战性,从技术和基本分析演变为人工智能驱动的方法.
- 分析师和组织使用各种工具和技术进行股票价格运动分析.
- 人工智能 (AI) 的日益普及意味着金融市场预测方法的转变.
研究的目的:
- 对金融市场的预测技术进行详尽的文献审查.
- 分析全球指数和股票价格的数百篇研究文章.
- 引导研究人员和投资者选择适当的模型,以提高利能力和投资决策.
主要方法:
- 文学研究研究文章的研究.
- 分析用于股票价格预测的技术.
- 收集和审查关于全球指数和股票价格的研究.
主要成果:
- 确定了一系列用于金融市场预测的技术.
- 强调了基于人工智能的方法论的日益增长的趋势.
- 综合了许多关于股票价格和指数的全球研究的信息.
结论:
- 该研究提供了金融市场预测技术的全面概述.
- 它有助于理解从传统到基于AI的方法的演变.
- 提供有关投资模式和市场状况的知情决策的见解.
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