Time series data analysis of stock price movement using machine learning techniques-Reference-Cited by-同舟云学术

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Time series data analysis of stock price movement using machine learning techniques

Published:2020-04-22 Issue:21 Volume:24 Page:16509-16517
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Parray Irfan Ramzan,Khurana Surinder Singh,Kumar Munish,Altalbe Ali A.

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-020-04957-x.pdf

Reference16 articles.

1. Balaji AJ, Ram DSH, Nair BB (2018) Applicability of deep learning models for stock price forecasting an empirical study on BANKEX data. Proc Comput Sci 143:947–953

2. Dash R, Dash PK (2016) A hybrid stock trading framework integrating technical analysis with machine learning techniques. J Finance Data Sci 2:42–57

3. Deng W, Zhao H, Yang X, Xiong J, Sun M, Li B (2017) Study on an improved adaptive PSO algorithm for solving multi-objective gate assignment. Appl Soft Comput 59:288–302

4. Deng W, Xu J, Zhao H (2019) An improved ant colony optimization algorithm based on hybrid strategies for scheduling problem. IEEE Access 7:20281–20292

5. Fenghua W, Jihong X, Zhifang H, Xu G (2014) Stock price prediction based on SSA and SVM. Proc Comput Sci 31:625–631

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