A Machine Learning Model for Stock Market Prediction

By Osman Hegazy, Omar S. Soliman, Mustafa Abdul Salam. 2014

164 citations recorded by the source corpus.

Stock market prediction is the act of trying to determine the future value of a company stock or other financial instrument traded on a financial exchange.

Subfields: Artificial Intelligence, Management Science and Operations Research, Signal Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. V. Menon
2. Kritik Soman
3. R. Vinayakumar

In Management Science and Operations Research

1. V. Menon

In Signal Processing

1. V. Menon
2. Kritik Soman
3. R. Vinayakumar

Citations in the corpus

• NSE Stock Market Prediction Using Deep-Learning Models (2018, methodology): “In [23], they used ML algorithms like Least Square Support Vector Machine (LSSVM) and Particle Swarm Optimization (PSO) for stock market prediction.”
• Stock price prediction using LSTM, RNN and CNN-sliding window model (2017, methodology): “In [17], application of machine learning algorithms like PSO and LS-SVM have been used for the prediction of S&P 500 stock market.”