Fields · Decision Sciences · Management Science and Operations Research
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.
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- Works
- 66.5k
- Citations
- 484.1k
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