GUNALAN, THANESWARAN (2022) STOCK PREDICTION APP. [Final Year Project] (Submitted)
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Abstract
It takes a lot of time and research to make the best decision when investing in the stock market, which is dangerous and can result in financial loss. In order to succeed in the stock market and make money, novice investors are only equipped with a restricted set of investment skills and resources. To address the issue, a mobile application for time series algorithms-based stock price prediction is developed. The stock price forecasting mobile app was developed using a prototyping approach. The mobile application's functionality was developed and improved during three iterations of this project. In order to make better informed and precise financial decisions, the aim is to predict stock prices.
Item Type: | Final Year Project |
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Subjects: | T Technology > T Technology (General) |
Depositing User: | Ms Nurul Aidayana Mohammad Noordin |
Date Deposited: | 14 Jun 2023 07:56 |
Last Modified: | 14 Jun 2023 07:56 |
URI: | http://utpedia.utp.edu.my/id/eprint/24592 |