A Literature Review on Machine Learning Techniques and Strategies Applied to Stock Market Price Prediction-Reference-Cited by-同舟云学术

A Literature Review on Machine Learning Techniques and Strategies Applied to Stock Market Price Prediction

Published:2021 Issue: Volume: Page:121-135
ISSN:2730-6437
Container-title:Studies in Autonomic, Data-driven and Industrial Computing
language:
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Author:

Patil Pankaj Rambhau,Parasar Deepa,Charhate Shrikant

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-3915-9_10

Reference90 articles.

1. Hiransha M et al (2018) NSE stock market prediction using deep-learning models. Procardia Comput Sci 132, 1351–1362

2. Fama EF (1995) Random walks in stock market prices. Financ Anal J 51:75–80

3. Abu-Mustafa YS (1996) Introduction to financial forecasting. Appl Intell 6, 205–213

4. Zhong X, Enke D (2017) Forecasting daily stock market return using dimensionality reduction. Expert Syst Appl 67:126–139

5. Hu Y, Liu K et al (2015) Application of evolutionary computation for rule discovery in stock algorithmic trading: a literature review. Appl Soft Comput 36, 534–51

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