Stock Market Price Forecasting Service using LSTM

Simple item page
dc.contributor.advisorDr. Mohammad Monirujjaman Khan
dc.contributor.authorMd. Mahabubul Hasan
dc.contributor.authorPritom Roy
dc.contributor.authorSabbir Sarker
dc.contributor.id1421274042
dc.contributor.id1430378042
dc.contributor.id1420134042
dc.coverage.departmentElectrical and Computer Engineering
dc.date.accessioned2025-07-01
dc.date.accessioned2025-07-01T05:57:12Z
dc.date.available2025-07-01T05:57:12Z
dc.date.issued2019-04-30
dc.description.abstractIn recent years we’ve seen in Bangladesh that the Stock market is not stable at all. In 2011 Stocks continued to tumble amid jitters over banks' liquidity crisis. After starting the day at 5,710, DSEX, the benchmark index of the Dhaka Stock Exchange, plunged to below 5,700 points in less than half an hour. Eventually, it lost 81.92 points to close the day at 5,623.64. People invest a lot in stock market. Many people just lost their hard-earned money in a blink of an eye because of investing at the wrong place. But we’ve seen the vice versa situation from the stock market as well. Stockify comes in play here. Stockify is dedicated to show accurate predicated prices of market shares. 70% accuracy have been achieved via training the algorithm Using LSTM which is an artificial neural network. Deep learning algorithm library TensorFlow have been implemented to show us predicted price using the closing prices of a day. Currently we are providing free service via our website and application. It would be on subscription based when the site will be more enriched in a business level. Thus, we hope to help people to make a profit in stock market and upraise the stock market of Bangladesh.
dc.description.degreeUndergraduate
dc.identifier.cd600000213
dc.identifier.urihttps://repository.northsouth.edu/handle/123456789/1204
dc.language.isoen_US
dc.publisherNorth-south University
dc.rights© NSU Library
dc.titleStock Market Price Forecasting Service using LSTM
dc.typeProject
oaire.citation.endPage79
oaire.citation.startPage1
Files
Original bundle
Now showing 1 - 2 of 2
Thumbnail Image
Name:
600000213.pdf
Size:
2.42 MB
Format:
Adobe Portable Document Format
Description:
Download
Thumbnail Image
Name:
600000213-abstract.pdf
Size:
152.7 KB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.93 KB
Format:
Item-specific license agreed to upon submission
Description:
Download
Collections
Theses - Undergraduate