{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T10:34:02Z","timestamp":1776681242577,"version":"3.51.2"},"publisher-location":"New York, NY, USA","reference-count":8,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,6,21]],"date-time":"2019-06-21T00:00:00Z","timestamp":1561075200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,6,21]]},"DOI":"10.1145\/3340997.3341008","type":"proceedings-article","created":{"date-parts":[[2019,8,2]],"date-time":"2019-08-02T12:17:07Z","timestamp":1564748227000},"page":"15-19","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":23,"title":["Prediction of Cryptocurrency Price Dynamics with Multiple Machine Learning Techniques"],"prefix":"10.1145","author":[{"given":"Wang","family":"Zhengyang","sequence":"first","affiliation":[{"name":"Department of information and Communication Engineering, Xi'an University of Posts & Telecommunications, Xi'an, China"}]},{"given":"Li","family":"Xingzhou","sequence":"additional","affiliation":[{"name":"School of Business, University of Manchester, Manchester, UK"}]},{"given":"Ruan","family":"Jinjin","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Chongqing University, Chongqing, China"}]},{"given":"Kou","family":"Jiaqing","sequence":"additional","affiliation":[{"name":"Department of Mathematical Sciences, University of Liverpool, Liverpool, England"}]}],"member":"320","published-online":{"date-parts":[[2019,6,21]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Meeting Business Ecosystems: The Case of Bitcoin.\" Available at SSRN 3095875","author":"Rauchs","year":"2016","unstructured":"Rauchs , Michel. \"Cryptocurrencies Meeting Business Ecosystems: The Case of Bitcoin.\" Available at SSRN 3095875 ( 2016 ). Rauchs, Michel. \"Cryptocurrencies Meeting Business Ecosystems: The Case of Bitcoin.\" Available at SSRN 3095875 (2016)."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.3386\/w24877"},{"key":"e_1_3_2_1_3_1","volume-title":"2014 52nd Annual Allerton Conference on Communication, Control, and Computing (Allerton). IEEE","author":"Shah","year":"2014","unstructured":"Shah , Devavrat, and Kang Zhang . \"Bayesian regression and Bitcoin.\" 2014 52nd Annual Allerton Conference on Communication, Control, and Computing (Allerton). IEEE , 2014 . Shah, Devavrat, and Kang Zhang. \"Bayesian regression and Bitcoin.\" 2014 52nd Annual Allerton Conference on Communication, Control, and Computing (Allerton). IEEE, 2014."},{"key":"e_1_3_2_1_4_1","volume-title":"No Data","author":"Greaves A","year":"2015","unstructured":"Greaves A , Au B. Using the bitcoin transaction graph to predict the price of bitcoin{J} . No Data , 2015 . Greaves A, Au B. Using the bitcoin transaction graph to predict the price of bitcoin{J}. No Data, 2015."},{"key":"e_1_3_2_1_5_1","volume-title":"Automated bitcoin trading via machine learning algorithms{J}. URL: http:\/\/cs229. stanford. edu\/proj2014\/Isaac% 20Madan","author":"Madan I","year":"2015","unstructured":"Madan I , Saluja S , Zhao A. Automated bitcoin trading via machine learning algorithms{J}. URL: http:\/\/cs229. stanford. edu\/proj2014\/Isaac% 20Madan , 2015 , 20. Madan I, Saluja S, Zhao A. Automated bitcoin trading via machine learning algorithms{J}. URL: http:\/\/cs229. stanford. edu\/proj2014\/Isaac% 20Madan, 2015, 20."},{"key":"e_1_3_2_1_6_1","first-page":"791","article-title":"Non-linear autoregressive with exogeneous input (NARX) Bitcoin price prediction model using PSO-optimized parameters and moving average technical indicators","author":"Indera N. I.","year":"2017","unstructured":"Indera , N. I. , \" Non-linear autoregressive with exogeneous input (NARX) Bitcoin price prediction model using PSO-optimized parameters and moving average technical indicators .\" Journal of Fundamental and Applied Sciences9.3S ( 2017 ): 791 -- 808 . Indera, N. I., et al. \"Non-linear autoregressive with exogeneous input (NARX) Bitcoin price prediction model using PSO-optimized parameters and moving average technical indicators.\" Journal of Fundamental and Applied Sciences9.3S (2017): 791--808.","journal-title":"Journal of Fundamental and Applied Sciences9.3S ("},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/2.485891"},{"key":"e_1_3_2_1_8_1","volume-title":"RNN and CNN-sliding window model{C}\/\/ International Conference on Advances in Computing.","author":"Selvin S","year":"2017","unstructured":"Selvin S , Vinayakumar R , Gopalakrishnan E A , Stock price prediction using LSTM , RNN and CNN-sliding window model{C}\/\/ International Conference on Advances in Computing. 2017 . Selvin S, Vinayakumar R, Gopalakrishnan E A, et al. Stock price prediction using LSTM, RNN and CNN-sliding window model{C}\/\/ International Conference on Advances in Computing. 2017."}],"event":{"name":"ICMLT 2019: 2019 4th International Conference on Machine Learning Technologies","location":"Nanchang China","acronym":"ICMLT 2019"},"container-title":["Proceedings of the 2019 4th International Conference on Machine Learning Technologies"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3340997.3341008","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3340997.3341008","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:13:32Z","timestamp":1750202012000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3340997.3341008"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,6,21]]},"references-count":8,"alternative-id":["10.1145\/3340997.3341008","10.1145\/3340997"],"URL":"https:\/\/doi.org\/10.1145\/3340997.3341008","relation":{},"subject":[],"published":{"date-parts":[[2019,6,21]]},"assertion":[{"value":"2019-06-21","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}