Predicting Cryptocurrency Price Returns by Using Deep Learning Model of Technical Analysis Indicators-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Predicting Cryptocurrency Price Returns by Using Deep Learning Model of Technical Analysis Indicators

Published:2023 Issue: Volume: Page:175-186
ISSN:2198-7246
Container-title:Global Economic Challenges
language:
Short-container-title:

Author:

Fazlollahi Negar,Ebrahimijam Saeed

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-23416-3_13

Reference23 articles.

1. Brock, W. A., & De Lima, P. J. (1996). 11 nonlinear time series, complexity theory, and finance. Handbook of Statistics, 14, 317–361.

2. Chen, Y. J., Chen, Y. M., Tsao, S. T., & Hsieh, S. F. (2018). A novel technical analysis-based method for stock market forecasting. Soft Computing, 22(4), 1295–1312.

3. Chortareas, G. E., Garza-Garcia, J. G., & Girardone, C. (2011). Banking sector performance in Latin America: Market power versus efficiency. Review of Development Economics, 15(2), 307–325.

4. de Souza, M. J. S., Ramos, D. G. F., Pena, M. G., Sobreiro, V. A., & Kimura, H. (2018). Examination of the profitability of technical analysis based on moving average strategies in BRICS. Financial Innovation, 4(1), 1–18.

5. Derbentsev, V., Matviychuk, A., Soloviev, V. N. (2020). Forecasting of cryptocurrency prices using machine learning. In Advanced studies of financial technologies and cryptocurrency markets (pp. 211–231). Springer, .

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An ensemble learning method for Bitcoin price prediction based on volatility indicators and trend;Engineering Applications of Artificial Intelligence;2024-07

2. Ethereum Cryptocurrency Prediction using ML procedures on Recurrent Neural Network using LSTM Model;2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON);2023-12-29

3. Leveraging ResNet CNN and XGBoost for Enhanced Bitcoin Price Forecasting;2023 6th International Conference on Algorithms, Computing and Artificial Intelligence;2023-12-22

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3