Dhaka Stock Market analysis with ARIMA-LSTM Hybrid Model
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019.
Main Authors: | Arnob, Raisul Islam, Alam, Rafatul, Alam, Alvi Ebne |
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Andre forfattere: | Majumdar, Mahbubul Alam |
Format: | Thesis |
Sprog: | English |
Udgivet: |
Brac University
2020
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Fag: | |
Online adgang: | http://hdl.handle.net/10361/13640 |
Lignende værker
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Forecasting market movement in Dhaka Stock Exchange: LSTM vs. ARIMA
af: Chakraborty, Pranjal
Udgivet: (2019) -
Dhaka Stock Exchange stock price prediction using Machine Learning and Deep Learning Models
af: Barua, Debalina
Udgivet: (2023) -
Stock price prediction using time series data
af: Mazed, Mashtura
Udgivet: (2019) -
IPO process analysis of Dhaka Stock Exchange Limited
af: Samin, Tahia
Udgivet: (2017) -
Monitoring, investigation compliance (MIC) & corporate image of Dhaka stock exchange
af: Haider, H. M. SIbbir
Udgivet: (2015)