Forecasting stock market prices using advanced tools of machine learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019.

Bibliografiske detaljer
Main Authors:	Anwar, Md. Tawhid, Rahman, Saidur
Andre forfattere:	Majumdar, Mahbub
Format:	Thesis
Sprog:	English
Udgivet:	BRAC University 2019
Fag:	Stock market Dhaka stock exchange Technical analysis Machine learning Neural network Prediction Random forest Logistic regression Machine learning.
Online adgang:	http://hdl.handle.net/10361/12292

id	10361-12292
record_format	dspace
spelling	10361-122922022-01-26T10:08:22Z Forecasting stock market prices using advanced tools of machine learning Anwar, Md. Tawhid Rahman, Saidur Majumdar, Mahbub Department of Computer Science and Engineering, Brac University Stock market Dhaka stock exchange Technical analysis Machine learning Neural network Prediction Random forest Logistic regression Machine learning. This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019. Cataloged from PDF version of thesis. Includes bibliographical references (pages 60-61). Stock market, a very unpredictable sector of nance, involves a large number of investors,buyers and sellers. Stock market prediction is the act of attempting to see the long run price of an organization stock or di erent money instrument listed on a monetary exchange. People invest in stock market supported some prediction. For predicting, the stock exchange prices people search such ways and tools which can increase their pro ts, whereas minimize their risks. Prediction plays a awfully necessary role available market business that is sophisticated and di cult method. A part of our thesis will be directed at assembling the required tools to aggregate nancial data from various sources. Here, we proposed a model by applying machinelearning to technical analysis. Technical analysis reviews the past direction of prices using stock charts to anticipate the probable future direction of that security's price. In alternative words, technical analysis uses open, close, high and low prices, still as its volume information to construct stock chart to work out that direction the protection ought to take, supported its past information. An arti cial trader can use the ensuing forecasting models to trade on any given stock market. The performance of the research is assessed using Dhaka Stock Exchange data. Md. Tawhid Anwar Saidur Rahman B. Computer Science and Engineering 2019-07-02T06:40:51Z 2019-07-02T06:40:51Z 2019 2019-04 Thesis ID 15301007 ID 16201004 http://hdl.handle.net/10361/12292 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. 61 pages application/pdf BRAC University
institution	Brac University
collection	Institutional Repository
language	English
topic	Stock market Dhaka stock exchange Technical analysis Machine learning Neural network Prediction Random forest Logistic regression Machine learning.
spellingShingle	Stock market Dhaka stock exchange Technical analysis Machine learning Neural network Prediction Random forest Logistic regression Machine learning. Anwar, Md. Tawhid Rahman, Saidur Forecasting stock market prices using advanced tools of machine learning
description	This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019.
author2	Majumdar, Mahbub
author_facet	Majumdar, Mahbub Anwar, Md. Tawhid Rahman, Saidur
format	Thesis
author	Anwar, Md. Tawhid Rahman, Saidur
author_sort	Anwar, Md. Tawhid
title	Forecasting stock market prices using advanced tools of machine learning
title_short	Forecasting stock market prices using advanced tools of machine learning
title_full	Forecasting stock market prices using advanced tools of machine learning
title_fullStr	Forecasting stock market prices using advanced tools of machine learning
title_full_unstemmed	Forecasting stock market prices using advanced tools of machine learning
title_sort	forecasting stock market prices using advanced tools of machine learning
publisher	BRAC University
publishDate	2019
url	http://hdl.handle.net/10361/12292
work_keys_str_mv	AT anwarmdtawhid forecastingstockmarketpricesusingadvancedtoolsofmachinelearning AT rahmansaidur forecastingstockmarketpricesusingadvancedtoolsofmachinelearning
_version_	1814307478209298432

Forecasting stock market prices using advanced tools of machine learning

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