From Prediction to Profit: A Comprehensive Review of Cryptocurrency Trading Strategies and Price Forecasting Techniques
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Otabek, Sattarov | - |
dc.contributor.author | Choi, Jaeyoung | - |
dc.date.accessioned | 2024-07-27T11:00:27Z | - |
dc.date.available | 2024-07-27T11:00:27Z | - |
dc.date.issued | 2024-06 | - |
dc.identifier.issn | 2169-3536 | - |
dc.identifier.issn | 2169-3536 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/92081 | - |
dc.description.abstract | The rapid evolution of cryptocurrency markets and the increasing complexity of trading strategies necessitate a comprehensive understanding of price-prediction models and their direct impact on trading efficacy. While extensive research has been conducted separately on price prediction methods and trading strategies, there remains a significant gap in studies explicitly correlating precise price forecasts with successful trading outcomes. This review paper addresses this gap by critically examining the role of accurate cryptocurrency price predictions in enhancing trading strategies. We conducted a systematic review of sufficient scholarly articles and web resources, focusing on the methodologies and effectiveness of various predictive models and their integration into cryptocurrency trading strategies. Our selection criteria ensured the inclusion of papers that demonstrate methodological rigor, relevance, and recent contributions to the field, spanning from economic theories and statistical models to advanced machine learning techniques. The findings reveal that precise price predictions significantly contribute to the development of adaptive and risk-managed trading strategies, which are crucial in the highly volatile cryptocurrency market. The review also identifies current challenges and proposes directions for future research, emphasizing the need for interdisciplinary approaches and ethical considerations in predictive modeling. This synthesis aims to bridge the existing research gap and guide future studies, thereby fostering more sophisticated and profitable trading strategies in the cryptocurrency domain. | - |
dc.format.extent | 26 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | From Prediction to Profit: A Comprehensive Review of Cryptocurrency Trading Strategies and Price Forecasting Techniques | - |
dc.type | Article | - |
dc.identifier.wosid | 001258797500001 | - |
dc.identifier.doi | 10.1109/ACCESS.2024.3417449 | - |
dc.identifier.bibliographicCitation | IEEE ACCESS, v.12, pp 87039 - 87064 | - |
dc.description.isOpenAccess | Y | - |
dc.identifier.scopusid | 2-s2.0-85196759855 | - |
dc.citation.endPage | 87064 | - |
dc.citation.startPage | 87039 | - |
dc.citation.title | IEEE ACCESS | - |
dc.citation.volume | 12 | - |
dc.type.docType | Article | - |
dc.publisher.location | 미국 | - |
dc.subject.keywordAuthor | Cryptocurrency | - |
dc.subject.keywordAuthor | Reviews | - |
dc.subject.keywordAuthor | Predictive models | - |
dc.subject.keywordAuthor | Biological system modeling | - |
dc.subject.keywordAuthor | Accuracy | - |
dc.subject.keywordAuthor | Prediction algorithms | - |
dc.subject.keywordAuthor | Adaptation models | - |
dc.subject.keywordAuthor | Machine learning | - |
dc.subject.keywordAuthor | Cryptocurrency trading | - |
dc.subject.keywordAuthor | price prediction | - |
dc.subject.keywordAuthor | trading strategies | - |
dc.subject.keywordAuthor | machine learning | - |
dc.subject.keywordPlus | NEURAL-NETWORKS | - |
dc.subject.keywordPlus | TECHNICAL ANALYSIS | - |
dc.subject.keywordPlus | BITCOIN | - |
dc.subject.keywordPlus | MODEL | - |
dc.subject.keywordPlus | VOLATILITY | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Telecommunications | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Telecommunications | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
1342, Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do, Republic of Korea(13120)031-750-5114
COPYRIGHT 2020 Gachon University All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.