黄金期货价格预测使用变压器深度学习模型,通过UiPath抓取数据
Sirisha Charugulla1, Shaiku Shahida Saheb2
1VIT-AP University.
Journal of visualized experiments : JoVE
|October 13, 2025
概括
这项研究使用了变压器模型准确预测每日黄金价格,超过了传统方法. 这些发现为黄金市场的投资者和政策制定者提供了宝贵的见解.
科学领域:
- 经济学 经济学 经济学
- 金融市场 金融市场
- 数据科学数据科学数据科学
背景情况:
- 黄金是全球交易的商品,对经济稳定和央行储备至关重要.
- 预测黄金价格是复杂的,因为市场波动和许多影响因素.
- 准确的黄金价格预测对于投资策略和经济政策至关重要.
研究的目的:
- 开发和评估用于预测每日黄金价格的变压器模型.
- 与传统预测方法相比,评估模型的准确性和效率.
- 为黄金金条市场提供可靠的决策工具.
主要方法:
- 使用UiPath (机器人流程自动化) 来从investing.com上搜索每日黄金价格.
- 数据预处理,包括缺失值赋值和MinMax缩放.
- 实施和培训用于时间序列价格预测的变压器模型.
主要成果:
- 变压器模型实现了高预测准确度,平均平方误差 (MSE) 为0.0224和R平方为0.93.
- 该模型在检测短期价格波动和长期市场趋势方面表现出良好的能力.
- 性能指标表明,与传统预测技术相比,性能指标具有更高的准确性和可靠性.
结论:
- 变压器模型为预测黄金价格提供了一个更准确,更可靠的方法.
- 该研究为投资者,金融分析师和政策制定者提供了宝贵的指导.
- 未来的改进可以包括新闻和社交媒体的情绪分析,以获得更丰富的见解.
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