Stock price prediction
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.
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Brac University
2023
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| Online Access: | http://hdl.handle.net/10361/21928 |
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10361-219282023-12-06T21:02:27Z Stock price prediction Das, Kaushik Azad, Tahzib Islam, Sadid Chowdhury, Nuzhat Ahmed, Nazia Mostakim, Moin Noor, Jannatun Department of Computer Science and Engineering, Brac University Stock market Prediction Data mining Covid-19 Machine learning Database management This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023. Cataloged from PDF version of thesis. Includes bibliographical references (pages 43-45). Accurately predicting the stock value enables investors to earn more money, reducing their uncertainty on whether to buy and sell. Again during the COVID-19 period, many companies have shown a different picture of the stock market situation. That is why investors cannot consider the company’s exact status in the stock market. The primary objective of our paper is to predict the future behavior of the stock market in the event of a pandemic using machine learning classification. To consider the future stock market condition, first, we looked at the past stock market condition and tried to make predictions by collecting data from two companies. Second, we tried to understand what happened in the stock market during the pandemic and used machine learning algorithms. Finally, make predictions through machine learning classifications by merging the data during the pandemic with past data. In conclusion, we have attempted to identify what was lacking in our instance and provide a concise description of the next steps. Kaushik Das Tahzib Azad Sadid Islam Nuzhat Chowdhury Nazia Ahmed B.Sc. in Computer Science and Engineering 2023-12-06T05:30:10Z 2023-12-06T05:30:10Z 2023 2023-05 Thesis ID 19101600 ID 19101464 ID 19101296 ID 19101262 ID 19101227 http://hdl.handle.net/10361/21928 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 45 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Stock market Prediction Data mining Covid-19 Machine learning Database management |
| spellingShingle |
Stock market Prediction Data mining Covid-19 Machine learning Database management Das, Kaushik Azad, Tahzib Islam, Sadid Chowdhury, Nuzhat Ahmed, Nazia Stock price prediction |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023. |
| author2 |
Mostakim, Moin |
| author_facet |
Mostakim, Moin Das, Kaushik Azad, Tahzib Islam, Sadid Chowdhury, Nuzhat Ahmed, Nazia |
| format |
Thesis |
| author |
Das, Kaushik Azad, Tahzib Islam, Sadid Chowdhury, Nuzhat Ahmed, Nazia |
| author_sort |
Das, Kaushik |
| title |
Stock price prediction |
| title_short |
Stock price prediction |
| title_full |
Stock price prediction |
| title_fullStr |
Stock price prediction |
| title_full_unstemmed |
Stock price prediction |
| title_sort |
stock price prediction |
| publisher |
Brac University |
| publishDate |
2023 |
| url |
http://hdl.handle.net/10361/21928 |
| work_keys_str_mv |
AT daskaushik stockpriceprediction AT azadtahzib stockpriceprediction AT islamsadid stockpriceprediction AT chowdhurynuzhat stockpriceprediction AT ahmednazia stockpriceprediction |
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1814308712577236992 |