Stock Market Forecasting Methods

Stock Market Forecasting Methods is a research topic within Management Science and Operations Research. Science Explorer counts 31k research works in it since 1953. 10.0% of them reached the world's top 10% most cited for their field and year.

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.

• Stock Market Prediction
• Time Series Forecasting
• Neural Networks
• Financial Time Series
• Deep Learning
• Support Vector Machines
• LSTM Networks
• Forecasting Models
• Sentiment Analysis
• Twitter Data