[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-119406-en":3,"doc-seo-119406-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},119406,687197207057,"Sage","https://ap-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0",8,"Research & Report","Harnessing Machine Learning for Crypto-Currency Price Prediction - A Review","Cryptocurrencies have rapidly gained global recognition, yet their volatility creates a persistent problem for investors seeking reliable price-movement forecasts. To improve prediction accuracy, researchers combine machine learning algorithms with technical indicators and apply statistical measures to produce both short- and long-term forecasts. The review systematically compares efficient approaches and summarizes results from machine learning and deep learning methods across multiple cryptocurrencies, including Bitcoin, Ethereum, and Monero, while also outlining limitations, gaps, and challenges for future research.","Harnessing Machine Learning for Crypto-Currency Price  \nPrediction: A Review  \nZeravan Arif Ali 1, a), Adnan M. Abdulazeez 1  \n1IT Department, Duhok Technical College, Duhok Polytechnic University, Duhok, Iraq a)[email: ](email: zeravan.ali@dpu.edu.krd)[zeravan.ali@dpu.edu.krd](email: zeravan.ali@dpu.edu.krd)  \nAbstract  \nDespite their recent inception, cryptocurrencies have become globally recognized for their dispersal, diversity, and high market capitalization. This volatility developed into a challenge for investors looking to predict price movements. Thus, it has become an attractive investment opportunity. To increase prediction accuracy, researchers integrate machine learning algorithms with technical indicators. In this review, a systematic comparison has been employed to identify efficient algorithms, and researchers have employed statistical measures to make short- and long-term forecasts of decentralized money prices. Moreover, the paper highlights the results of researchers based on machine learning and deep learning methodologies on multiple types of cryptocurrencies like Bitcoin, Ethereum, Monero, etc. Lastly, the work emphasizes the limitations, gaps, and challenges facing researchers to take advantage of existing literature for future works.  \nKeywords: Cryptocurrencies, Deep Learning, Machine Learning, Technical Indicators  \nIntroduction  \nPredicting market behavior for maximizing profit is incredibly challenging in cryptocurrency, adecentralized digital currency based on peer-to-peer transactions. The altcoins market, characterized by rapid information flow and many transactions, has rapidly gained acceptance, leading many hedge funds and asset managers to incorporate these assets into their portfolios [1] . Despite their recent inception, alternative currencies have become globally recognized for their volatility, diversity, and high market capitalizations. These virtual currencies' appeal lies in decentralization, immutability, security, and trust in their technological infrastructure, offering anonymity, speed, and convenience in transactions without central oversight.  \nPredicting cryptocurrency prices can help businesses by allowing them to navigate the volatile market effectively, maximizing returns while minimizing risks. Accurate forecasts enable companies to make informed investment decisions, capitalize on favorable market conditions, and adjust their strategies as needed. This ability to anticipate price movements is crucial in a rapidly evolving market, where informed decision-making can significantly impact profitability [2] . Additionally, businesses can leverage these insights to enhance their risk management practices, ensuring stability and resilience in the face of market fluctuations.  \nResearchers used precise approaches like Machine Learning (ML) to anticipate cryptocurrency values. ML has an enormous measure of calculations, which can make errands simpler, including  \naltcoin prices. Besides, regression techniques can be used to predict the future price of acryptocurrency and predict forthcoming results - this review covers different machine learning algorithms and techniques that have also been taken these days into account to obtain abnormal profits by prognosing the inefficiency of the cryptocurrency market [3] . Different modelling techniques are applied to datasets with varying data structures and dimensional features to predict daily and high-frequency Bitcoin prices by Chen, et al. [4] . Further, analyze price variations and predict Ethereum's closing price by developing statistical and machine-learning techniques have been carried out [5] . A hybrid model using Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) for predicting the prices of lesser-known cryptocurrencies like Litecoin and Monero already been discussed [6] . On the other hand, paper [7] yield a significant concentrate on the impacts of machine learning approaches and their supports in cryptocurrency transa","cbCaidAFWMDFZZG6","https://ap.wps.com/l/cbCaidAFWMDFZZG6","pdf",592600,1,18,"English","en",105,"# Introduction\n## Cryptocurrency volatility and market forecasting\n## Business value of accurate price prediction\n## Machine learning approaches and related studies\n# Methods\n## Machine learning basics\n## Hyperparameters and model performance","[{\"question\":\"Why is predicting cryptocurrency prices challenging?\",\"answer\":\"Cryptocurrency markets are highly volatile and shaped by rapid information flow and many transactions, which makes price movements difficult to forecast reliably.\"},{\"question\":\"How do researchers improve crypto price prediction accuracy?\",\"answer\":\"Researchers integrate machine learning and deep learning algorithms with technical indicators, then use statistical measures to generate short- and long-term forecasts.\"},{\"question\":\"What does the review aim to evaluate?\",\"answer\":\"The review compares algorithms and methods for forecasting multiple cryptocurrencies, and analyzes findings, methodologies, inconsistencies, pros and cons, and research gaps.\"}]","Harnessing Machine Learning for Crypto-Currency Price Prediction - A Review | PDF",1785724128,45,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"harnessing-machine-learning-for-crypto-currency-price-prediction-a-review","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/harnessing-machine-learning-for-crypto-currency-price-prediction-a-review/119406/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-03",true,{"@type":65,"interactionType":66,"userInteractionCount":20},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"Why is predicting cryptocurrency prices challenging?","Question",{"text":75,"@type":76},"Cryptocurrency markets are highly volatile and shaped by rapid information flow and many transactions, which makes price movements difficult to forecast reliably.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"How do researchers improve crypto price prediction accuracy?",{"text":80,"@type":76},"Researchers integrate machine learning and deep learning algorithms with technical indicators, then use statistical measures to generate short- and long-term forecasts.",{"name":82,"@type":73,"acceptedAnswer":83},"What does the review aim to evaluate?",{"text":84,"@type":76},"The review compares algorithms and methods for forecasting multiple cryptocurrencies, and analyzes findings, methodologies, inconsistencies, pros and cons, and research gaps.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,123,128,131,135],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":124,"doc_module":4,"doc_module_name":46,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":46,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":46,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":46,"category_name":137,"show_sort_weight":106,"slug":138},19,"General","general"]