[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-119136-en":3,"doc-seo-119136-105":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":4,"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},119136,8796095462418,"Noah","https://ap-avatar.wpscdn.com/avatar/80000253c1241d02b47?x-image-process=image/resize,m_fixed,w_180,h_180&k=1778826106357471780",8,"Research & Report","Harnessing Machine Learning for Crypto-Currency Price Prediction - A Review","Cryptocurrencies, despite their relatively recent emergence, have become globally known for their diversity and high market capitalization, while volatility creates a persistent obstacle for investors attempting to forecast price movements. Researchers address this challenge by combining machine learning algorithms with technical indicators and by using statistical measures to produce short- and long-term forecasts. This review systematically compares efficient algorithms and highlights results from machine learning and deep learning studies across multiple cryptocurrencies, then summarizes limitations, gaps, and challenges for future work.","Harnessing Machine Learning for Crypto-Currency Price Prediction: AReview  \nZeravanArif Ali1*, Adnan M. Abdulazeez1  \n1 IT Dept., Duhok Technical College, Duhok Polytechnic University, Duhok, Iraq  \nEmail:* [zeravan.ali@dpu.edu.krd](zeravan.ali@dpu.edu.krd)  \nAbstract. Despite 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.  \n1. Introduction  \nPredicting market behavior for maximizing profit is incredibly challenging in cryptocurrency, a decentralized 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.  \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 altcoin prices. Besides, regression techniques can be used to predict the future price of a cryptocurrency 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 [2] . Different modelling techniques are applied to datasets with varying data structures and dimensional features to predict daily and high-frequency Bitcoin  \nprices by [3] . Further, analyze price variations and predict Ethereum's closing price by developing statistical and machine-learning techniques have been carried out [4] . 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 [5] . On the other hand, paper [6] yield a significant concentrate on the impacts of machine learning approaches and their supports in cryptocurrency transaction and digital pricing for achieving further research opportunity.  \nThe article reviews various algorithms regarding machine learning for forecasting future prices of multiple types of cryptocurrencies such as Bitcoin, Ethereum, Cardano, Monero, etc. Furthermore, the review aims to analyze and evaluate the findings, methodologies, inconsistencies, and theories related to different techniques. In addition, we focus on identifying trends for developing and assessing learning models for foreseeing superior prices and minimizing risks regarding the cryptocurrency market. At last, our addition is to identify the pros, cons, and gaps regarding each approach, revealing disagreements related to the previous work.  \n2. Background Theory  \n2.1. Machine Learning  \nMachine learning is a su","cbCaiiZLHhMeMq5Y","https://ap.wps.com/l/cbCaiiZLHhMeMq5Y","pdf",508283,1,20,"English","en",105,"# Introduction\n## Background Theory\n### Machine Learning\n### Multiple Linear Regression (MLR) algorithm","[{\"question\":\"Why is cryptocurrency price prediction challenging?\",\"answer\":\"Cryptocurrency markets exhibit high volatility and rapid information flow, making price movements difficult to forecast consistently for investors and portfolio managers.\"},{\"question\":\"How do researchers improve prediction accuracy?\",\"answer\":\"Researchers integrate machine learning algorithms with technical indicators and use regression and statistical measures to generate short- and long-term forecasts.\"},{\"question\":\"What does this review cover about machine learning methods?\",\"answer\":\"The review compares machine learning and deep learning methodologies for predicting prices across several cryptocurrencies and evaluates findings, methodologies, and gaps, including limitations and open challenges.\"}]","Harnessing Machine Learning for Crypto-Currency Price Prediction - A Review | PDF",1785722634,50,{"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/119136/",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":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"Why is cryptocurrency price prediction challenging?","Question",{"text":75,"@type":76},"Cryptocurrency markets exhibit high volatility and rapid information flow, making price movements difficult to forecast consistently for investors and portfolio managers.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"How do researchers improve prediction accuracy?",{"text":80,"@type":76},"Researchers integrate machine learning algorithms with technical indicators and use regression and statistical measures to generate short- and long-term forecasts.",{"name":82,"@type":73,"acceptedAnswer":83},"What does this review cover about machine learning methods?",{"text":84,"@type":76},"The review compares machine learning and deep learning methodologies for predicting prices across several cryptocurrencies and evaluates findings, methodologies, and gaps, including limitations and open challenges.","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},[93,97,101,105,110,114,119,122,126,129,133],{"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":29,"slug":113},6,"Technology","technology",{"id":115,"doc_module":4,"doc_module_name":46,"category_name":116,"show_sort_weight":117,"slug":118},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":120,"slug":121},30,"research-report",{"id":123,"doc_module":4,"doc_module_name":46,"category_name":124,"show_sort_weight":21,"slug":125},9,"Religion & Spirituality","religion-spirituality",{"id":21,"doc_module":4,"doc_module_name":46,"category_name":127,"show_sort_weight":21,"slug":128},"World Cup","world-cup",{"id":130,"doc_module":4,"doc_module_name":46,"category_name":131,"show_sort_weight":130,"slug":132},10,"Lifestyle","lifestyle",{"id":134,"doc_module":4,"doc_module_name":46,"category_name":135,"show_sort_weight":106,"slug":136},19,"General","general"]