IMPLEMENTASI METODE LONG SHORT TERM MEMORY UNTUK MEMPREDIKSI PERGERAKAN NILAI HARGA EMAS

Michael Owen, Vincent Vincent, Riama Br Ambarita, Evta Indra
{"title":"IMPLEMENTASI METODE LONG SHORT TERM MEMORY UNTUK MEMPREDIKSI PERGERAKAN NILAI HARGA EMAS","authors":"Michael Owen, Vincent Vincent, Riama Br Ambarita, Evta Indra","doi":"10.37600/tekinkom.v5i1.507","DOIUrl":null,"url":null,"abstract":"Investment is an activity that is invested or financed with the hope of profit or return in the future. One form of investment is to use gold. Many people are interested in investing in gold. Apart from being quite affordable, investing in gold is also very easy to do and flexible. Gold is included in the low risk investment class because its price movements tend to follow the rate of inflation. This study uses the Long Short Term Memory (LSTM) method to predict the movement of gold prices which will visualize the data in the form of a Line Chart. This study aims to provide decision support material regarding the movement of buying and selling prices of gold through the presentation of data aimed at people who invest in gold. However, real gold price movements cannot be separated from external factors such as the exchange rate of the rupiah against foreign currencies, import export policies and other government policies. There are many influencing factors such as opening price, closing price, adjust close, volume, highs, lows recorded over a certain period of time. Another factor is the Daily Return which can be positive (Grown In Value) and negative (Lost In Value).","PeriodicalId":365934,"journal":{"name":"Jurnal Teknik Informasi dan Komputer (Tekinkom)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal Teknik Informasi dan Komputer (Tekinkom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37600/tekinkom.v5i1.507","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Investment is an activity that is invested or financed with the hope of profit or return in the future. One form of investment is to use gold. Many people are interested in investing in gold. Apart from being quite affordable, investing in gold is also very easy to do and flexible. Gold is included in the low risk investment class because its price movements tend to follow the rate of inflation. This study uses the Long Short Term Memory (LSTM) method to predict the movement of gold prices which will visualize the data in the form of a Line Chart. This study aims to provide decision support material regarding the movement of buying and selling prices of gold through the presentation of data aimed at people who invest in gold. However, real gold price movements cannot be separated from external factors such as the exchange rate of the rupiah against foreign currencies, import export policies and other government policies. There are many influencing factors such as opening price, closing price, adjust close, volume, highs, lows recorded over a certain period of time. Another factor is the Daily Return which can be positive (Grown In Value) and negative (Lost In Value).
长期速记方法的实施,以预测黄金价格的流动
投资是一种投资或融资的活动,希望在未来获得利润或回报。投资的一种形式是使用黄金。许多人对投资黄金感兴趣。除了价格实惠之外,投资黄金也非常容易操作和灵活。黄金被列入低风险投资类别,因为它的价格变动往往跟随通货膨胀率。本研究使用长短期记忆(LSTM)方法来预测黄金价格的走势,这将以折线图的形式将数据可视化。本研究旨在通过展示针对黄金投资者的数据,提供有关黄金买卖价格变动的决策支持材料。然而,真正的黄金价格走势不能脱离外部因素,如印尼盾对外币的汇率、进出口政策和其他政府政策。影响因素有很多,如开盘价、收盘价、调整收盘价、成交量、一定时期内的高点、低点。另一个因素是日回报,它可以是正的(价值增长)和负的(价值损失)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信