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.

Dettagli Bibliografici
Autori principali:	Shachcha, Ifad Bhuiyan, Siam, Muhammad Ziaus
Altri autori:	Rasel, Annajiat Alim
Natura:	Tesi
Lingua:	en_US
Pubblicazione:	Brac University 2022
Soggetti:	Stock market Machine Learning Finance Prediction Dense NN RNN LSTM CNN Business enterprises > Finance.
Accesso online:	http://hdl.handle.net/10361/17645

Documenti analoghi

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

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

Stock price prediction using time series data
di: Mazed, Mashtura
Pubblicazione: (2019)

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

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

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

Stock price prediction
di: Das, Kaushik, et al.
Pubblicazione: (2023)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

The global stock market
di: Wójcik, Dariusz

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

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

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

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

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

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

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

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

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

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