Stock market equity advisory tool by using of neural network method

This field of study of this project is a stock market equity advisory tool that will analyze the stock market using machine learning which is Neural Network Method. Stock market prediction like traditional statistical as well as artificial intelligence techniques are used widely in the world. In thi...

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Main Author: Ng, Shun Yi
Format: Final Year Project / Dissertation / Thesis
Published: 2024
Subjects:
Online Access:http://eprints.utar.edu.my/6619/
http://eprints.utar.edu.my/6619/1/fyp_IA_2024_NSY.pdf
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author Ng, Shun Yi
author_facet Ng, Shun Yi
author_sort Ng, Shun Yi
building UTAR Institutional Repository
collection Online Access
description This field of study of this project is a stock market equity advisory tool that will analyze the stock market using machine learning which is Neural Network Method. Stock market prediction like traditional statistical as well as artificial intelligence techniques are used widely in the world. In this study, we proposed a stock market equity advisory tool to analyze Malaysia’s stock market by using the Neural Network Method as the analyzing tool. Malayan Banking Berhad are chosen to be the stock that use to train the model. The historical data of the stock have been getting from yahoo finance and put into the model to do training and testing. After the training, the pre-trained model has been saved and merge to the webpage. A webpage will be deployed to let user to use the tool to do real-time prediction for any stocks in Malaysia. User can choose to predict and get investment recommendation for the next day closing prices or predict for the next five days prices.
first_indexed 2025-11-15T19:43:07Z
format Final Year Project / Dissertation / Thesis
id utar-6619
institution Universiti Tunku Abdul Rahman
institution_category Local University
last_indexed 2025-11-15T19:43:07Z
publishDate 2024
recordtype eprints
repository_type Digital Repository
spelling utar-66192024-10-23T05:44:51Z Stock market equity advisory tool by using of neural network method Ng, Shun Yi T Technology (General) This field of study of this project is a stock market equity advisory tool that will analyze the stock market using machine learning which is Neural Network Method. Stock market prediction like traditional statistical as well as artificial intelligence techniques are used widely in the world. In this study, we proposed a stock market equity advisory tool to analyze Malaysia’s stock market by using the Neural Network Method as the analyzing tool. Malayan Banking Berhad are chosen to be the stock that use to train the model. The historical data of the stock have been getting from yahoo finance and put into the model to do training and testing. After the training, the pre-trained model has been saved and merge to the webpage. A webpage will be deployed to let user to use the tool to do real-time prediction for any stocks in Malaysia. User can choose to predict and get investment recommendation for the next day closing prices or predict for the next five days prices. 2024-01 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/6619/1/fyp_IA_2024_NSY.pdf Ng, Shun Yi (2024) Stock market equity advisory tool by using of neural network method. Final Year Project, UTAR. http://eprints.utar.edu.my/6619/
spellingShingle T Technology (General)
Ng, Shun Yi
Stock market equity advisory tool by using of neural network method
title Stock market equity advisory tool by using of neural network method
title_full Stock market equity advisory tool by using of neural network method
title_fullStr Stock market equity advisory tool by using of neural network method
title_full_unstemmed Stock market equity advisory tool by using of neural network method
title_short Stock market equity advisory tool by using of neural network method
title_sort stock market equity advisory tool by using of neural network method
topic T Technology (General)
url http://eprints.utar.edu.my/6619/
http://eprints.utar.edu.my/6619/1/fyp_IA_2024_NSY.pdf