Analysis of financial data on the time series using data from the stock market

Analysis of financial data on the time series using data from the stock market

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.

Xehetasun bibliografikoak
Egile Nagusiak:	Shachcha, Ifad Bhuiyan, Siam, Muhammad Ziaus
Beste egile batzuk:	Rasel, Annajiat Alim
Formatua:	Thesis
Hizkuntza:	en_US
Argitaratua:	Brac University 2022
Gaiak:	Stock market Machine Learning Finance Prediction Dense NN RNN LSTM CNN Business enterprises > Finance.
Sarrera elektronikoa:	http://hdl.handle.net/10361/17645

Antzeko izenburuak

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

Human sentiment analysis using natural language processing
nork: Shamya, Md. Shamiul Haque Khan, et al.
Argitaratua: (2024)

Stock price prediction using time series data
nork: Mazed, Mashtura
Argitaratua: (2019)

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

Predicting crime using deep learning
nork: Shihab, Muhammad Nafees, et al.
Argitaratua: (2024)

Bangla speech recognition using 1D CNN and LSTM with different dimension reduction techniques
nork: Nirjhor, S M Mahsanul Islam, et al.
Argitaratua: (2019)

Stock price prediction
nork: Das, Kaushik, et al.
Argitaratua: (2023)

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

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

Dhaka Stock Market analysis with ARIMA-LSTM Hybrid Model
nork: Arnob, Raisul Islam, et al.
Argitaratua: (2020)

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

A computer vision based approach for stalking detection using CNN-LSTM hybrid model
nork: Iqbal, Shahriar, et al.
Argitaratua: (2023)

A deep learning approach towards soft biometrics attributes prediction using CNN
nork: Kibria, Maharab, et al.
Argitaratua: (2022)

Predicting effectiveness of marketing through analyzing emotional context in advertisement using deep learning
nork: Arafat, Sheikh Mohammad, et al.
Argitaratua: (2021)

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

Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children
nork: Alhossen, Md., et al.
Argitaratua: (2021)

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

Analyzing area-wise air pollution level using machine learning for a better future
nork: Sihan, Sk. Atik Tajwar, et al.
Argitaratua: (2021)

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

Dhaka Stock Exchange stock price prediction using Machine Learning and Deep Learning Models
nork: Barua, Debalina
Argitaratua: (2023)

Forecasting Dhaka stock exchange prices using machine learning models: a Performance analysis
nork: Alam, Md. Iftekharul, et al.
Argitaratua: (2024)

Performance analysis of deep learning algorithms for Intrusion Detection System(IDS) of IoT Security
nork: Fiha, Yeamin Jahan, et al.
Argitaratua: (2022)

Hybrid recommendation system of intelligent captioning using deep learning networks
nork: Wasi, Ahamed Al, et al.
Argitaratua: (2024)

Recognition of Bangladeshi sign language from 2D videos using openpose and LSTM based RNN
nork: Dewanjee, Tanmoy, et al.
Argitaratua: (2021)

Automated image caption generator in Bangla using multimodal learning
nork: Rodoshi, Mashiat Hasin, et al.
Argitaratua: (2023)

Demand forecasting on supply chain using ML and NN
nork: Hridi, Naoshin Anzum, et al.
Argitaratua: (2023)

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

Classification of Bangladeshi soil texture using convolutional neural network
nork: Raj, Hafiz Mohiuddin, et al.
Argitaratua: (2023)

Bangla hate speech detection on social media using attention-based recurrent neural network
nork: Das, Amit Kumar, et al.
Argitaratua: (2022)

The global stock market
nork: Wójcik, Dariusz

Potential of the stock trade of Bangladesh: An overview of BRAC EPL stock brokerage
nork: Binte Zahid, Jannat
Argitaratua: (2023)

Common stocks and uncommon profits and other writings by Philip A. Fisher /
nork: Fisher, Philip A.
Argitaratua: (1996)

Anomalous behavior detection using Spatio temporal Feature and 3D CNN model for Surveillance
nork: Nahar, Jannatun, et al.
Argitaratua: (2022)

Implementing machine learning techniques to forecast floods In Bangladesh based on historical data
nork: Toufique, S.M, et al.
Argitaratua: (2024)

A hybrid deep learning model and explainable AI-based Bengali hate speech multi-label classification and interpretation
nork: Shakil, Mahmudul Hasan
Argitaratua: (2023)

Sound classification using deep learning for hard of hearing and deaf people
nork: Habib, Md.Adnan, et al.
Argitaratua: (2022)

Prediction of coronary heart diseases using supervised machine learning algorithms
nork: Salam, Nazia Binte, et al.
Argitaratua: (2023)

An improved deepfake detection using deep learning
nork: Paul, Annay, et al.
Argitaratua: (2023)

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

Voice impersonation detection using LSTM based RNN and explainable AI
nork: Barua, Kawshik, et al.
Argitaratua: (2022)