Research topic
Stock Market Forecasting Methods
Social Sciences → Decision Sciences → Management Science and Operations Research
About 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.
Keywords
Stock Market Prediction Time Series Forecasting Neural Networks Financial Time Series Deep Learning Support Vector Machines LSTM Networks Forecasting Models Sentiment Analysis Twitter Data
Development over time
| Year | research outputs |
|---|---|
| 2018 | 1 |
People
Researchers strongly represented in this topic
Here, researchers who have publications in OSIRIS assigned to this spectrum topic are displayed. For better clarity, only a selection is shown.
Prof. Dr. Matthias Wolff
1 Research outputsThe assignment of publications to topics is done automatically and may be incomplete or incorrect. If a person does not appear in the list, it does not mean that they could not have contributed to the topic.