Stock Market Forecasting Methods

This cluster of papers focuses on predicting stock market trends and movements using various techniques such as time series forecasting, neural networks, deep learning, support vector machines, sentiment analysis, and Twitter data. The research explores the application of these methods to financial time series data for stock market prediction.

Journals publishing in this area

1

Expert Systems with Applications

ISSN 0957-41741,071 articles in this topic

341h-index

5.99Impact

30.3KArticles

1.2MCitations

2

Applied Soft Computing

ISSN 1568-4946417 articles in this topic

233h-index

5.49Impact

13.7KArticles

515.2KCitations

3

International Journal of Statistics and Applied Mathematics

ISSN 2456-145236 articles in this topic

12h-index

0.09Impact

1.6KArticles

1.2KCitations

4

International Journal of Research in Finance and Management

ISSN 2617-575418 articles in this topic

10h-index

0.10Impact

814Articles

421Citations

5

International Journal of Computing and Artificial Intelligence

ISSN 2707-65718 articles in this topic

6h-index

0.18Impact

307Articles

210Citations

6

Journal of Mathematical Problems Equations and Statistics

ISSN 2709-93935 articles in this topic

3h-index

0.05Impact

216Articles

47Citations

7

International Journal of Engineering in Computer Science

ISSN 2663-35824 articles in this topic

6h-index

0.07Impact

284Articles

295Citations