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.
Główni autorzy: | Alam, Md. Iftekharul, Rahman, MD Jubaier, Shakil, Nurul Islam, Ibnat, Maisha, Tasnia, Rifah |
---|---|
Kolejni autorzy: | Noor, Jannatun |
Format: | Praca dyplomowa |
Język: | English |
Wydane: |
Brac University
2024
|
Hasła przedmiotowe: | |
Dostęp online: | http://hdl.handle.net/10361/23075 |
Podobne zapisy
-
Share market forecasting with LSTM neural network and sentimental trend prediction
od: Rony, Ismail Hossain, i wsp.
Wydane: (2020) -
Stock price prediction
od: Das, Kaushik, i wsp.
Wydane: (2023) -
Forecasting stock market prices using advanced tools of machine learning
od: Anwar, Md. Tawhid, i wsp.
Wydane: (2019) -
Impact of fundamental factors on stock price: a case based approach on pharmaceutical companies listed with dhaka stock exchange
od: Haque, Samina, i wsp.
Wydane: (2016) -
A deep learning approach to predict crypto-currency price by evaluating sentiment and stock market correlations
od: Maliha, Miftahul Zannat, i wsp.
Wydane: (2023)