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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Bibliografski detalji
Glavni autor: Ooi, Yuxuan
Daljnji autori: Loke Yuan Ren
Format: Final Year Project (FYP)
Jezik:English
Izdano: Nanyang Technological University 2021
Teme:
Online pristup:https://hdl.handle.net/10356/153503