烛台模式研究分析,未来与未来:基于PRISMA的系统文献综述

S. Wicaksono, R. Setiawan, Purnomo
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引用次数: 0

摘要

在线股票市场情况允许交易者实时或定期检查免费或付费的标准和指标。烛台图和历史数据帮助交易者预测股票价值。这些预测方法依赖于交易者的经验。这种不科学的判断缺乏经验事实和数学上建立的理论,而这些理论很少在公认的科学期刊上发表。最初的研究揭示了烛台研究与实践之间的差距,在没有科学依据的情况下创造了一个新颖的想法。考虑到不同的研究可能性,文献综述必须解决以下问题:过去五年烛台指标研究的趋势是什么,烛台股价预测的未来是什么?本研究使用PRISMA进行文献综述。10篇文章在3个索引中被重复。最后,将文章内容与研究问题进行对比。只有20篇Scopus (S)论文被引用次数超过10次,2篇没有完整论文访问权限,所以只有11篇符合条件。从Google Scholar (GS)中获得100篇论文,然后重新筛选得到19篇引用次数超过10次的论文和6篇没有全文访问的论文,共11篇。来自Semantic Scholar (SS)的100篇文章符合第一项要求。重新检查每个数据库中的重复文章,以产生24篇有效文章,供未来研究使用。经济和信息技术出版物在研究中采用了烛台模式。单反筛选和文献研究产生了专家系统、历史研究、一目均衡、地方研究和技术分析。专家系统组主导研究,但没有技术主导实施。未来的研究可能是新的。烛台模式只在一个国家的当地股市进行过测试;因此,经济危机、商业行为或冲突可能导致该方法失败。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Candlestick Pattern Research Analysis, Future and Beyond: A Systematic Literature Review Using PRISMA
Online stock market circumstances allow traders to examine in real time or periodically with free or paid criteria and indicators. Candlestick charts and historical data help traders predict stock values. These forecasting methods rely on traders' experience. Such unscientific judgements lack empirical facts and mathematically established theories, which are rarely published in recognized scientific journals. Initial research revealed a gap between candlestick research and practice, creating a novel idea without scientific backing. Given the different study possibilities, the literature review must address the following questions: what's the trend in candlestick indicator research over the past five years, and what's ahead for candlestick stock price predictions? This study used PRISMA to conduct its literature review. Ten articles were duplicated in three indexes. Last, the article content is compared to the research questions. Only 20 Scopus (S) papers have more than 10 citations, and 2 don't have full paper access, so only 11 match the conditions. 100 publications were obtained from Google Scholar (GS), then re-filtered to obtain 19 with more than 10 citations and 6 without full paper access, for a total of 11 articles. 100 articles from Semantic Scholar (SS) met the first requirements. Duplicate articles in each database were rechecked to produce 24 valid articles for future research. Economic and IT publications employ candlestick patterns in the study. SLR screening and literature research yielded expert systems, historical research, ichimoku, local studies, and technological analysis. Expert system group dominates research, but no technique dominates implementation. Future research can be new. Candlestick patterns have only been tested on local stock markets in one country; therefore, economic crises, commercial acts, or conflicts may lead the method to fail.
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