Financial time series data pattern detection, forecasting and its application
This paper studies the latest techniques for financial time series forecasting by extending the existing work. In addition to historical stock data, sentiment analysis and signal analysis methods are applied to simulate the real-world factors that could potentially affect the stock trends. Three...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2021
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| Online Access: | https://hdl.handle.net/10356/153503 |