[HTML][HTML] Stock market analysis: A review and taxonomy of prediction techniques

D Shah, H Isah, F Zulkernine - International Journal of Financial Studies, 2019 - mdpi.com
Stock market prediction has always caught the attention of many analysts and researchers.
Popular theories suggest that stock markets are essentially a random walk and it is a fool's …

[PDF][PDF] State-of-the-art in stock prediction techniques

JG Agrawal, V Chourasia, A Mittra - International Journal of Advanced …, 2013 - Citeseer
Stock markets are affected by many uncertainties and interrelated economic and political
factors at both local and global levels. The key to successful stock market forecasting is …

A survey on machine learning for stock price prediction: Algorithms and techniques

M Obthong, N Tantisantiwong, W Jeamwatthanachai… - 2020 - eprints.soton.ac.uk
Stock market trading is an activity in which investors need fast and accurate information to
make effective decisions. Since many stocks are traded on a stock exchange, numerous …

[HTML][HTML] Stock market prediction using machine learning techniques: a decade survey on methodologies, recent developments, and future directions

N Rouf, MB Malik, T Arif, S Sharma, S Singh, S Aich… - Electronics, 2021 - mdpi.com
With the advent of technological marvels like global digitization, the prediction of the stock
market has entered a technologically advanced era, revamping the old model of trading …

[PDF][PDF] Stock price prediction using machine learning and deep learning frameworks

J Sen, TD Chaudhuri - … of the 6th International Conference on …, 2018 - academia.edu
Stock price prediction has always been a challenging task for the researchers in financial
domain. While the Efficient Market Hypothesis claims that it is impossible to predict stock …

Machine learning stock market prediction studies: review and research directions

TJ Strader, JJ Rozycki, TH Root… - Journal of …, 2020 - scholarworks.lib.csusb.edu
Stock market investment strategies are complex and rely on an evaluation of vast amounts of
data. In recent years, machine learning techniques have increasingly been examined to …

Machine learning approaches in stock market prediction: A systematic literature review

LN Mintarya, JNM Halim, C Angie, S Achmad… - Procedia Computer …, 2023 - Elsevier
Predicting the stock market has been done for a long time using traditional methods by
analyzing fundamental and technical aspects. With machine learning, stock market …

[PDF][PDF] A machine learning model for stock market prediction

O Hegazy, OS Soliman, MA Salam - arXiv preprint arXiv:1402.7351, 2014 - arxiv.org
Proceedings Template - WORD Page 1 International Journal of Computer Science and
Telecommunications [Volume 4, Issue 12, December 2013] 17 Journal Homepage: www.ijcst.org …

Machine Learning approaches in stock price prediction: A systematic review

P Soni, Y Tewari, D Krishnan - Journal of Physics: Conference …, 2022 - iopscience.iop.org
Prediction of stock prices is one of the most researched topics and gathers interest from
academia and the industry alike. With the emergence of Artificial Intelligence, various …

Stock market prediction with high accuracy using machine learning techniques

M Bansal, A Goyal, A Choudhary - Procedia Computer Science, 2022 - Elsevier
Stock market trading is a major and predominant activity when one talks about the financial
markets. With the inevitable uncertainty and volatility in the prices of the stocks, an investor …