Forecasting Dhaka stock exchange prices using machine learning models: a Performance analysis

Forecasting Dhaka stock exchange prices using machine learning models: a Performance analysis

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

Detalles Bibliográficos
Autores principales:	Alam, Md. Iftekharul, Rahman, MD Jubaier, Shakil, Nurul Islam, Ibnat, Maisha, Tasnia, Rifah
Otros Autores:	Noor, Jannatun
Formato:	Tesis
Lenguaje:	English
Publicado:	Brac University 2024
Materias:	Financial markets Investors Predicting stock prices Historical data Predict future values Forecasting Market movement Machine learning Artificial intelligence
Acceso en línea:	http://hdl.handle.net/10361/23075

Ejemplares similares

Share market forecasting with LSTM neural network and sentimental trend prediction
por: Rony, Ismail Hossain, et al.
Publicado: (2020)

Stock price prediction
por: Das, Kaushik, et al.
Publicado: (2023)

Forecasting stock market prices using advanced tools of machine learning
por: Anwar, Md. Tawhid, et al.
Publicado: (2019)

Impact of fundamental factors on stock price: a case based approach on pharmaceutical companies listed with dhaka stock exchange
por: Haque, Samina, et al.
Publicado: (2016)

A deep learning approach to predict crypto-currency price by evaluating sentiment and stock market correlations
por: Maliha, Miftahul Zannat, et al.
Publicado: (2023)

Response of market price relative to fundamentals of stocks : a case based approach on pharmaceutical industry listed in DSE
por: Faruquee, Murtaza
Publicado: (2013)

Stock market prediction using time series analysis
por: Hira, Farhan Islam, et al.
Publicado: (2019)

The rise of young investors: exploring students’ interest in the stock market
por: Morshed, Abu Saleh Muhammad Sarwar
Publicado: (2024)

Stock Market Price movement prediction using RNN and Point-weight Sentiment
por: Uddin, S. M. Rageeb Noor, et al.
Publicado: (2022)

Analysis of financial data on the time series using data from the stock market
por: Shachcha, Ifad Bhuiyan, et al.
Publicado: (2022)

An in depth analysis of neural network with application in finance
por: Tasnim, Noshin, et al.
Publicado: (2019)

A macroeconomic model for forecasting crude oil prices with Feedforward Neural Network Grid Search Experimentation
por: Aunjum, Md. Ragib, et al.
Publicado: (2021)

Market efficiency in weak form: empirical evidence from Bangladesh Stock Market
por: Hossain, Md. Delowar
Publicado: (2019)

Stock market prediction using ensemble learning
por: Rabbani, Rakin Bin, et al.
Publicado: (2021)

The second curve : thoughts on reinventing society /
por: Handy, Charles B.
Publicado: (2015)

Comparative analysis of machine learning models for stock price analysis across different dataset sizes
por: Srabon, Abir Alam, et al.
Publicado: (2023)

Stock price prediction using time series data
por: Mazed, Mashtura
Publicado: (2019)

Cryptocurrency price prediction and forecasting using machine learning algorithm and long- short term memory mapping
por: Zaman, Md. Sayeed Ibne, et al.
Publicado: (2022)

Adverse effect of loan securitization on the stock prices of banks: empirical evidence from europe and america
por: Rahman, Sharmin Shabnam
Publicado: (2016)

Analyzing the impact of existing floor price on the brokerage industry: a case study of LankaBangla Securities
por: Khan, Redwan Alam
Publicado: (2024)

Sensitiveness of stock market returns to macroeconomic determinants; an empirical study on the pharmaceutical industry of Dhaka Stock Exchange
por: Tasrin, Ibnat
Publicado: (2024)

Current stock market of Bangladesh
por: Tabassum, Mehnaj
Publicado: (2014)

Understanding customer behavioral change in X- integrated marketing agency
por: Soton, Sani Islam
Publicado: (2022)

Stock price forecasting using Bayesian network
por: Tabassum, Parisa, et al.
Publicado: (2018)

A broad study on BRAC EPL stock brokerage limited : impact of commission rate on BRAC EPL stock brokerage Ltd.
por: Farina, Tasmin Jahan
Publicado: (2016)

Investigation assistant with suspect anticipating intelligence
por: Abdullah, Saqueeb, et al.
Publicado: (2019)

Digital brand communication transformation in the stock brokerage industry
por: Baroi, Rojer Nicothem
Publicado: (2023)

On the Information Content of Ldc Secondary Loan Market Prices /
por: Stone, Mark
Publicado: (1991)

Time-Series Forecasting of Ethereum Price using Long Short-Term Memory (LSTM) Networks
por: Al-Wasee, Mohammad Samin, et al.
Publicado: (2022)

The future marketing aspect of Facebook in Bangladesh
por: Ansary, Asif
Publicado: (2022)

The death of the West : how dying populations and immigrant invasions imperil our country and civilization /
por: Buchanan, Patrick J. (Patrick Joseph), 1938-
Publicado: (2002)

Forecasting market movement in Dhaka Stock Exchange: LSTM vs. ARIMA
por: Chakraborty, Pranjal
Publicado: (2019)

Flight fare prediction using machine learning
por: Noyon, Md. Shaim Hosan, et al.
Publicado: (2024)

Puttable and Extendible Bonds : Developing Interest Rate Derivatives for Emerging Markets /
por: Neftci, Salih
Publicado: (2003)

RED-LSTM: Real time emotion detection using LSTM
por: Labiba, Mansura Rahman, et al.
Publicado: (2023)

Digital and traditional marketing approaches by BRAC EPL Stock Brokerage Ltd.
por: Khan, Maisha Rafa
Publicado: (2020)

Options, futures & other derivatives /
por: Hull, John, 1946-
Publicado: (2009)

Data analysis on the Bangladesh share market using Machine-Learning
por: Sadman, Syed Hassan, et al.
Publicado: (2021)

Predicting climate induced floods using machine learning
por: Saleh, Chowdhury Nafis, et al.
Publicado: (2022)

Modelling and forecasting energy demand of Bangladesh using AI based algorithms
por: Mahmud, Booshra Nazifa, et al.
Publicado: (2019)