Forecasting stock market prices using advanced tools of machine learning

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.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Anwar, Md. Tawhid, Rahman, Saidur
مؤلفون آخرون:	Majumdar, Mahbub
التنسيق:	أطروحة
اللغة:	English
منشور في:	BRAC University 2019
الموضوعات:	Stock market Dhaka stock exchange Technical analysis Machine learning Neural network Prediction Random forest Logistic regression Machine learning.
الوصول للمادة أونلاين:	http://hdl.handle.net/10361/12292

مواد مشابهة

Stock market prediction using ensemble learning
بواسطة: Rabbani, Rakin Bin, وآخرون
منشور في: (2021)

Stock price prediction
بواسطة: Das, Kaushik, وآخرون
منشور في: (2023)

Predicting stock market trend from twitter feed and building a framework for Bangladesh
بواسطة: Karim, Shabab, وآخرون
منشور في: (2018)

SCAMM: detection and prevention of SQL injection attacks using a machine learning approach
بواسطة: Alam, Auninda, وآخرون
منشور في: (2021)

Machine learning based analysis and prediction of crop yield and prices of Aman, Aus and Boro rice
بواسطة: Bhattacharjee, Ruposri, وآخرون
منشور في: (2024)

Early detection of breast cancer using machine learning
بواسطة: Fuad, Wasi Mohammad
منشور في: (2019)

A deep learning approach to predict crypto-currency price by evaluating sentiment and stock market correlations
بواسطة: Maliha, Miftahul Zannat, وآخرون
منشور في: (2023)

Forecasting Dhaka stock exchange prices using machine learning models: a Performance analysis
بواسطة: Alam, Md. Iftekharul, وآخرون
منشور في: (2024)

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

Detecting online recruitment fraud by using machine learning
بواسطة: Ghosh, Gitanjali, وآخرون
منشور في: (2021)

Predicting stock market movement using sentiment analysis of twitter feed
بواسطة: Chakraborty, Pranjal, وآخرون
منشور في: (2017)

Comparative analysis and implementation of credit risk prediction through distinct machine learning models
بواسطة: Turjo, Aquib Abtahi, وآخرون
منشور في: (2021)

Estimating flood susceptibility of Bangladesh in the future year using machine learning
بواسطة: Alim, Sakib Bin, وآخرون
منشور في: (2021)

Prediction of bipolar disorder from mental episodes using machine learning approach
بواسطة: Tasmeem, Sumaiya, وآخرون
منشور في: (2023)

Impact of fundamental factors on stock price: a case based approach on pharmaceutical companies listed with dhaka stock exchange
بواسطة: Haque, Samina, وآخرون
منشور في: (2016)

Forecasting market movement in Dhaka Stock Exchange: LSTM vs. ARIMA
بواسطة: Chakraborty, Pranjal
منشور في: (2019)

Identification of fake news using machine learning in distributed system
بواسطة: Saif, Mehruz, وآخرون
منشور في: (2021)

A machine learning approach to analyze and predict rainfall in different regions of Bangladesh
بواسطة: Rahee, Arnob, وآخرون
منشور في: (2021)

A counseling system to predict the study path for freshmen
بواسطة: Usha, Rowshni Tasneem, وآخرون
منشور في: (2019)

IPO process analysis of Dhaka Stock Exchange Limited
بواسطة: Samin, Tahia
منشور في: (2017)

The global stock market
بواسطة: Wójcik, Dariusz

Monitoring, investigation compliance (MIC) & corporate image of Dhaka stock exchange
بواسطة: Haider, H. M. SIbbir
منشور في: (2015)

Implementing machine learning techniques to forecast floods In Bangladesh based on historical data
بواسطة: Toufique, S.M, وآخرون
منشور في: (2024)

A supervised learning approach by machine learning and deep learning algorithms to predict type II DM risk
بواسطة: Farabe, Abdullah Al, وآخرون
منشور في: (2021)

Stock Market Price movement prediction using RNN and Point-weight Sentiment
بواسطة: Uddin, S. M. Rageeb Noor, وآخرون
منشور في: (2022)

Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
بواسطة: Tasnim, Anika, وآخرون
منشور في: (2022)

Common stock valuation of Orion Pharma Limited
بواسطة: Dina, Priya Darshini
منشور في: (2018)

Data analysis on the Bangladesh share market using Machine-Learning
بواسطة: Sadman, Syed Hassan, وآخرون
منشور في: (2021)

Analyzing the security of e-Health data based on a hybrid federated learning model
بواسطة: Shafin, Md. Mehtabul Islam, وآخرون
منشور في: (2023)

Weather forecasting using Deep Learning
بواسطة: Fahad, Sheikh Abdul, وآخرون
منشور في: (2023)

A feature selection approach to determine obesity using machine learning method
بواسطة: Antor, Shahidul Alam, وآخرون
منشور في: (2021)

Analysis of financial data on the time series using data from the stock market
بواسطة: Shachcha, Ifad Bhuiyan, وآخرون
منشور في: (2022)

Flood prediction using ensemble machine learning models
بواسطة: Rahman, Tanvir
منشور في: (2024)

Cardiovascular disease prediction model using Machine Learning Algorithm
بواسطة: Arefin Mirdha, MD Shamsul
منشور في: (2023)

Comparative analysis of machine learning models for stock price analysis across different dataset sizes
بواسطة: Srabon, Abir Alam, وآخرون
منشور في: (2023)

Market efficiency in weak form: empirical evidence from Bangladesh Stock Market
بواسطة: Hossain, Md. Delowar
منشور في: (2019)

Potential of the stock trade of Bangladesh: An overview of BRAC EPL stock brokerage
بواسطة: Binte Zahid, Jannat
منشور في: (2023)

Demystifying second hand car market in Bangladesh using multimodal machine learning techniques
بواسطة: Islam, Roman, وآخرون
منشور في: (2024)

Machine learning as an indicator for breast cancer prediction
بواسطة: Shadman, Tahsin Mohammed, وآخرون
منشور في: (2019)

Dhaka Stock Market analysis with ARIMA-LSTM Hybrid Model
بواسطة: Arnob, Raisul Islam, وآخرون
منشور في: (2020)