December 3, 2021 - This paper presents a comparison of the prediction by inputting different classifiers. Furthermore, the results of the comparison are done on an accuracy basis. Each machine learning algorithm is tested against the National Association of Securities ...

Empirical analysis: stock market prediction via extreme learning machine.

The recent trend in stock market prediction technologies is the use of machine learning which makes predictions based on the values of current stock market indices by training on their previous ...

June 24, 2025 - The rapid advancement of machine learning and deep learning techniques has revolutionized stock market prediction, providing innovative methods to analyze financial trends and market behavior. This review paper presents a comprehensive analysis of various machine learning and deep learning approaches utilized in stock market prediction, focusing on their methodologies, evaluation metrics, and datasets.

May 1, 2020 - This paper surveys recent literature in the area of Neural Network, Data Mining, Hidden Markov Model and Neuro-Fuzzy system used to predict the stock market fluctuation. Neural Networks and Neuro-Fuzzy systems are identified to be the leading ...

December 31, 2022 - This paper researches 5 algorithms namely K-Nearest Neighbors, Linear Regression, Support Vector Regression, Decision Tree Regression, and Long Short-Term Memory for predicting stock prices of 12 leading companies of the Indian stock market.

September 14, 2019 - Predicting a non-linear signal requires progressive algorithms of machine learning with help of Artificial Intelligence (AI).In our research, we are going to use Machine Learning Algorithm specially focus on Linear Regression (LR), Three month ...

February 8, 2024 - Machine learning, deep learning and statistical analysis techniques are used here to get the accurate result so the investors can see the future trend and maximize the return of investment in stock trading. This paper will review many deep learning algorithms for stock price forecasting.

March 12, 2024 - The aims of this study are to predict the stock price trend in the stock market in an emerging economy. Using the Long Short Term Memory (LSTM) algorithm, and the corresponding technical analysis indicators for each stock code include: simple ...

Fischer T. and Krauss C., “Deep learning with long short-term memory networks for financial market predictions,” European Journal of Operational Research, vol. 270, no. 2, pp. 654–669, 2018. doi: 10.1016/j.ejor.2017.11.054 [DOI] [Google Scholar] 18. Sadorsky P., “Forecasting solar stock prices using tree-based machine learning classification: How important are silver prices?,” The North American Journal of Economics and Finance, vol.

December 26, 2025 - This article presents a simple implementation of analyzing and forecasting Stock market prediction using machine learning. The case study focuses on a popular online retail store, and Random Forest is a powerful tree-based technique for predicting stock prices. In this article, you will explore stock market prediction using machine learning, discover effective stock prediction models, and learn about an innovative stock market prediction project that leverages advanced algorithms for improved forecasting accuracy.

December 20, 2022 - The precise forecasting of stock ... In this research paper, we tackle this challenge by introducing a stock market prediction model grounded in the Random Forest algorithm....

December 26, 2024 - This paper presents an analysis of stock price forecasting in the financial market, with an emphasis on approaches based on time series models and deep learning techniques. Fundamental concepts of technical analysis are explored, such as exponential ...

Stock market prediction is the process of determining the · future value of company stock or other financial instruments traded on a financial · exchange. For some decades Artificial Neural Network (ANN), which is one · intelligent data mining technique has been used for Stock Price Prediction. It has · been trusted as the most accurate consideration. This paper surveys different · machine learning ...

November 8, 2021 - Advanced trading models enable researchers to predict the market using non-traditional textual data from social platforms. The application of advanced machine learning approaches such as text data analytics and ensemble methods have greatly increased the prediction accuracies...

May 13, 2025 - In this study, we investigate the feasibility of using deep learning for stock market prediction and technical analysis. We explore the dynamics of the stock market and prominent classical methods and deep learning-based approaches that are ...

July 25, 2025 - Moreover, these analyses generally ... effect. This paper aims to fill this gap by proposing and applying a method focused on the analysis of the accuracy of stock market prediction models in comparison with market efficiency...

2 weeks ago - Meanwhile, the analysis and prediction ... and chaotic data. This study explains the systematics of machine learning-based approaches for stock market prediction based on the deployment of a generic framework....

February 12, 2025 - The research paper empirically investigates several machine learning algorithms to forecast stock prices depending on insider trading information. Insider trading offers special insights into market sentiment, pointing to upcoming changes in stock prices.

Stock market is basically nonlinear in nature and the research on stock market is one of the most important issues in recent years. People invest in stock market based on some prediction. For predict, the stock market prices people search such methods and tools which will increase their profits, ...