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.
Main Authors: | Alam, Md. Iftekharul, Rahman, MD Jubaier, Shakil, Nurul Islam, Ibnat, Maisha, Tasnia, Rifah |
---|---|
Drugi avtorji: | Noor, Jannatun |
Format: | Thesis |
Jezik: | English |
Izdano: |
Brac University
2024
|
Teme: | |
Online dostop: | http://hdl.handle.net/10361/23075 |
Podobne knjige/članki
-
Share market forecasting with LSTM neural network and sentimental trend prediction
od: Rony, Ismail Hossain, et al.
Izdano: (2020) -
Stock price prediction
od: Das, Kaushik, et al.
Izdano: (2023) -
Forecasting stock market prices using advanced tools of machine learning
od: Anwar, Md. Tawhid, et al.
Izdano: (2019) -
Impact of fundamental factors on stock price: a case based approach on pharmaceutical companies listed with dhaka stock exchange
od: Haque, Samina, et al.
Izdano: (2016) -
A deep learning approach to predict crypto-currency price by evaluating sentiment and stock market correlations
od: Maliha, Miftahul Zannat, et al.
Izdano: (2023)