Big data based stock trend prediction using deep CNN with reinforcement-LSTM model
Author:
Publisher
Springer Science and Business Media LLC
Subject
Strategy and Management,Safety, Risk, Reliability and Quality
Link
http://link.springer.com/content/pdf/10.1007/s13198-021-01074-2.pdf
Reference28 articles.
1. Akita R, Yoshihara A, Matsubara T, Uehara K (2016) Deep learning for stock prediction using numerical and textual information. In: 2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS), IEEE, pp 1–6
2. Anuradha J et al (2015) A brief introduction on big data 5Vs characteristics and hadoop technology. Proc Computer Sci 48:319–324
3. Chen K, Zhou Y, Dai F (2015) A lstm-based method for stock returns prediction: A case study of china stock market. In: 2015 IEEE international conference on big data (big data), IEEE, pp 2823–2824
4. Chong E, Han C, Park FC (2017) Deep learning networks for stock market analysis and prediction: methodology, data representations, and case studies. Exp Syst Appl 83:187–205
5. Dash R, Dash PK (2016) A hybrid stock trading framework integrating technical analysis with machine learning techniques. J Financ Data Sci 2(1):42–57
Cited by 14 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. Enhancing Option Pricing Accuracy in the Indian Market: A CNN-BiLSTM Approach;Computational Economics;2024-08-01
2. Artificial Intelligence (AI), Machine Learning (ML) & Deep Learning (DL): A Comprehensive Overview on Techniques, Applications and Research Directions;2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS);2024-07-10
3. A Predictive Model of the Stock Market Using the LSTM Algorithm with a Combination of Exponential Moving Average (EMA) and Relative Strength Index (RSI) Indicators;Journal of The Institution of Engineers (India): Series B;2024-03-28
4. Stock Recommendations Using Machine Learning and Natural Language Processing;Lecture Notes in Networks and Systems;2024
5. Forecasting Stock Prices Changes Using Long-Short Term Memory Neural Network with Symbolic Genetic Algorithm;2023-08-30
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