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Journal|[J]International Journal of Mathematical Sciences and ComputingVolume 8, Issue 1. 2022. PP 44-48
MT欧元/美元汇率预测采用机器学习
EUR/USD Exchange Rate Prediction Using Machine Learning
摘要 / Abstract
MT
如今,人工智能几乎应用于我们日常生活的每个领域。AI用于预防性维护、质量控制、需求预测、快速成型、异地库存管理等。同样,它在经济市场中的运用也得到了广泛的应用。人工智能的运用为货币市场或股票市场的价格预测做出了巨大的贡献。本研究探索并分析了在全球外汇市场上使用机器学习技术作为欧元/美元汇率的线性回归来预测未来走势,并比较每日和每小时的数据预测。作为比较的理由,线性回归在欧元/美元汇率的小时报和日报几乎等价的数据集中都得到了应用,并显示了结果的差异。这为该市场的研究打开了一扇新的大门。已有研究发现,日数据预报的准确率百分比高于试验阶段的小时数据预报。
原文
Nowadays artificial intelligence is used in almost every sector of our day-to-day life. AI is used in preventative maintenance, quality control, demand forecasting, rapid prototyping, and inventory management among other places. Also, its use in the economic market has gained widespread. The use of artificial intelligence has made a huge contribution to price forecasting in the currency market or the stock market. This research work explores and analyzes the use of machine learning techniques as a linear regression in the EUR/USD exchange rate in the global forex market to predict future movements and compare daily and hourly data forecasts. As a reason for comparison, linear regression was applied in both hourlies and daily's almost equivalent data sets of the EUR/USD exchange rate and showed differences in results. Which has opened a new door of research on this market. It has been found that the percentage of accuracy of the daily data forecast is higher than the hourly data forecast at the test stage.
关键词 / Keywords
MT
人工智能; 汇率; Eur / Usd; 外汇市场; 机器学习; 线性回归。
核心评价 / Indexed by
WAJCI;
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