STOCK PREDICTION APP
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....
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| Format: | Final Year Project |
| Language: | English |
| Published: |
2022
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| Online Access: | http://utpedia.utp.edu.my/id/eprint/24592/1/STOCK%20PREDICTION%20APP.pdf http://utpedia.utp.edu.my/id/eprint/24592/ |
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oai:utpedia.utp.edu.my:245922023-06-14T07:56:27Z http://utpedia.utp.edu.my/id/eprint/24592/ STOCK PREDICTION APP GUNALAN, THANESWARAN T Technology (General) 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. 2022-09 Final Year Project NonPeerReviewed text en http://utpedia.utp.edu.my/id/eprint/24592/1/STOCK%20PREDICTION%20APP.pdf GUNALAN, THANESWARAN (2022) STOCK PREDICTION APP. [Final Year Project] (Submitted) |
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Universiti Teknologi Petronas |
| building |
UTP Resource Centre |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Teknologi Petronas |
| content_source |
UTP Electronic and Digitized Intellectual Asset |
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http://utpedia.utp.edu.my/ |
| language |
English |
| topic |
T Technology (General) |
| spellingShingle |
T Technology (General) GUNALAN, THANESWARAN STOCK PREDICTION APP |
| description |
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. |
| format |
Final Year Project |
| author |
GUNALAN, THANESWARAN |
| author_facet |
GUNALAN, THANESWARAN |
| author_sort |
GUNALAN, THANESWARAN |
| title |
STOCK PREDICTION APP |
| title_short |
STOCK PREDICTION APP |
| title_full |
STOCK PREDICTION APP |
| title_fullStr |
STOCK PREDICTION APP |
| title_full_unstemmed |
STOCK PREDICTION APP |
| title_sort |
stock prediction app |
| publishDate |
2022 |
| url |
http://utpedia.utp.edu.my/id/eprint/24592/1/STOCK%20PREDICTION%20APP.pdf http://utpedia.utp.edu.my/id/eprint/24592/ |
| _version_ |
1769845318827900928 |
| score |
13.214268 |