金融市场预测中的人工智能:用于股票价格预测的机器学习的进步
Arafat Rohan1, Md Deluar Hossen1, Md Nuruzzaman Pranto1
1International American University, Los Angeles, CA, United States.
Frontiers in artificial intelligence
|January 29, 2026
概括
这项研究探讨了人工智能.
科学领域:
- 人工智能的人工智能
- 金融技术 金融技术
- 计算金融是指计算金融.
背景情况:
- 传统的股票预测方法正在与人工智能一起发展.
- 像区块链和量子计算这样的新兴技术正在与金融交叉.
- 人工智能在金融市场中的作用正在超出预测范围.
研究的目的:
- 审查人工智能驱动的股票价格预测方面的进展.
- 检查AI与金融领域区块链和量子计算的整合.
- 讨论强化学习在动态市场预测中的应用.
主要方法:
- 对人工智能驱动的股票市场预测模型的审查.
- 混合模型和机器学习系统的分析.
- 探索强化学习用于时间序列分析和财务决策.
主要成果:
- 人工智能显著提高了股票价格预测准确度和投资组合管理.
- 量子计算在投资组合分析和欺诈检测方面提供了先进的功能.
- 区块链技术提高了金融市场的透明度,安全性和效率.
结论:
- 人工智能,区块链和量子计算正在改变金融市场.
- 有效的风险管理和欺诈检测对于未来的金融就业市场至关重要.
- 深度强化学习和深度神经网络为股票预测和资产配置提供了强大的工具.
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