Analysis of financial data on the time series using data from the stock market
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.
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Brac University
2022
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| Διαθέσιμο Online: | http://hdl.handle.net/10361/17645 |
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10361-176452022-12-13T21:01:47Z Analysis of financial data on the time series using data from the stock market Shachcha, Ifad Bhuiyan Siam, Muhammad Ziaus Rasel, Annajiat Alim Khan, Rubayat Ahmed Department of Computer Science and Engineering, Brac University Stock market Machine Learning Finance Prediction Dense NN RNN LSTM CNN Business enterprises -- Finance. This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022. Cataloged from PDF version of thesis. Includes bibliographical references (pages 39-40). Predicting financial data is really important for investors Often times investors do not have a proper tool to properly assess the market and forecast their predictions. Furthermore, not only investors in modern day civilians are also willing to invest as well and as there is an abundant amount of data available from the financial sector it is of utmost significance to find the optimal algorithm in a general case scenario. This project aims to show a comparison between the results found from some of the popular neural network algorithms. In this project we have employed the help of Dense Neural Network [DNN], Recurrent Neural Network [RNN], Long Short Term Memory unit [LSTM], Convolutional Neural Network [CNN] and a pipeline where we combined LSTM and CNN. We have kept some of the parameters similar and compared the results to determine an algorithm in a general case. This would help people take informed decisions while investing. Ifad Bhuiyan Shachcha Muhammad Ziaus Siam B. Computer Science 2022-12-13T05:36:33Z 2022-12-13T05:36:33Z 2022 2022-05 Thesis ID: 17201120 ID: 21341055 ID: 17201027 http://hdl.handle.net/10361/17645 en_US 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. 40 Pages application/pdf Brac University |
| institution |
Brac University |
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Institutional Repository |
| language |
en_US |
| topic |
Stock market Machine Learning Finance Prediction Dense NN RNN LSTM CNN Business enterprises -- Finance. |
| spellingShingle |
Stock market Machine Learning Finance Prediction Dense NN RNN LSTM CNN Business enterprises -- Finance. Shachcha, Ifad Bhuiyan Siam, Muhammad Ziaus Analysis of financial data on the time series using data from the stock market |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022. |
| author2 |
Rasel, Annajiat Alim |
| author_facet |
Rasel, Annajiat Alim Shachcha, Ifad Bhuiyan Siam, Muhammad Ziaus |
| format |
Thesis |
| author |
Shachcha, Ifad Bhuiyan Siam, Muhammad Ziaus |
| author_sort |
Shachcha, Ifad Bhuiyan |
| title |
Analysis of financial data on the time series using data from the stock market |
| title_short |
Analysis of financial data on the time series using data from the stock market |
| title_full |
Analysis of financial data on the time series using data from the stock market |
| title_fullStr |
Analysis of financial data on the time series using data from the stock market |
| title_full_unstemmed |
Analysis of financial data on the time series using data from the stock market |
| title_sort |
analysis of financial data on the time series using data from the stock market |
| publisher |
Brac University |
| publishDate |
2022 |
| url |
http://hdl.handle.net/10361/17645 |
| work_keys_str_mv |
AT shachchaifadbhuiyan analysisoffinancialdataonthetimeseriesusingdatafromthestockmarket AT siammuhammadziaus analysisoffinancialdataonthetimeseriesusingdatafromthestockmarket |
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1814308148436008960 |