Convolutional neural network for stock trading using technical indicators-Reference-Cited by-同舟云学术

Convolutional neural network for stock trading using technical indicators

Published:2022-01-03 Issue:1 Volume:29 Page:
ISSN:0928-8910
Container-title:Automated Software Engineering
language:en
Short-container-title:Autom Softw Eng

Author:

Chandar S. Kumar

Publisher

Springer Science and Business Media LLC

Subject

Software

Link

https://link.springer.com/content/pdf/10.1007/s10515-021-00303-z.pdf

Reference30 articles.

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2. Bao, W., Yue, J., Rao, Y.: A deep learning framework for financial time series using stacked autoencoders and long-short term memory. PLoS One (2017). https://doi.org/10.1371/journal.pone.0180944

3. Caley, J.A.: A survey of systems for predicting stock market movements, combining market indicators and machine learning classifiers. Dissertations and Theses (2013)

4. Chandar, S.K.: Fusion model of wavelet transform and adaptive neuro fuzzy interference system for stock market prediction. J. Ambient Intell. Humaniz. Comput. (2019). https://doi.org/10.1007/s12652-019-01224-2

5. Chandar, S.K., Sumathi, M., Sivanandam, S.N.: Prediction of stock market using hybrid of wavelet transform and artificial neural network. Indian J. Sci. Technol. (2016). https://doi.org/10.17485/ijst/2016/v9i8/87905

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