Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/149917
Title: Stock trading and prediction using weakly supervised learning
Authors: Tan, Nigel Jun Wen
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2021
Publisher: Nanyang Technological University
Source: Tan, N. J. W. (2021). Stock trading and prediction using weakly supervised learning. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/149917
Abstract: This project attempts to use both technical analysis and sentimental analysis to predict stock market prices. The method in this published paper, Deep Learning Approach for Short-Term Stock Trends Prediction Based on Two-Stream Gated Recurrent Unit Network, will be replicated. After which, modifications will be made to try to improve on the results achieved in the published paper. Historical price of the S&P500 will be used along with news article from Bloomberg and Reuters.
URI: https://hdl.handle.net/10356/149917
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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