Transformer-based deep learning model for stock price prediction: A case study on Bangladesh stock market

T Muhammad, AB Aftab, M Ibrahim… - International Journal …, 2023 - World Scientific
In the modern capital market, the price of a stock is often considered to be highly volatile and
unpredictable because of various social, financial, political and other dynamic factors. With …

[HTML][HTML] Progress and prospects of data-driven stock price forecasting research

C Zhao, M Wu, J Liu, Z Duan, L Shen… - International Journal of …, 2023 - Elsevier
With the rapid development of social economy and the continuous improvement of stock
market, stock investment has become more and more widely concerned. Stock price …

Analysis of Big Data for the Financial Sector Using Machine Learning Perspective on Stock Prices

M Reddy, EP Galla, SR Bauskar… - Available at SSRN …, 2021 - papers.ssrn.com
The stock market is one example of a segmented information economy. As a measure of
both market activity and market uncertainty, price volatility is a key feature of the stock …

Stock market and securities index prediction using artificial intelligence: A systematic review

H Singh, M Malhotra - Multidisciplinary Reviews, 2024 - malque.pub
The recognition of the value and importance of recognizing patterns in the stock market is
widely accepted. As a result, using innovative decision-making strategies is expected to lead …

Forecasting of nifty 50 index volatility using seasonal ARIMA model

K Pant, R Rawat, A Pant - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Traders who are at the beginner stage are more likely to make mistakes and suffer losses in
the volatile market. The study focuses to develop an autoregressive integrated moving …

Stock market comparison and analysis in preceding and following pandemic in bangladesh using machine learning approaches

TF Sinha, SG Rafia, MA Rahman, RM Rahat… - Proceedings of the 2nd …, 2022 - dl.acm.org
For a long time, stock price forecasting has been a significant research topic. However stock
prices depend on various factors that cannot be predicted, and that's the reason it is almost …

Profitable ranking of stock market organizations using different machine learning models

M Alavi, S Sharmin, A Uddin… - 2021 IEEE 9th …, 2021 - ieeexplore.ieee.org
The prediction of a stock exchange price is immensely challenging and needful as it can
provide a guideline to the investors and organizations. However, stock exchange data …

HybStock: A Hybrid Deep Learning-Based Model to Predict Stock Market on Dhaka Stock Exchange

MSI Yousuf, SMRH Nijhum… - 2024 6th International …, 2024 - ieeexplore.ieee.org
Stock Price Prediction has always been a field of attraction and interest for investors and
researchers. Since several factors influence the stock price, predicting it is a difficult task …

Exchange Rate Prediction Using Time Series Approach Check for updates

K Pant, A Pant - Proceedings of Data Analytics and Management …, 2024 - books.google.com
Many countries suffer from high inflation due to global issues, and when a developed
country has severe inflation, its currency rate falls. The study focuses on predicting the …

Utilizing Technical Data to Discover Similar Companies in Dhaka Stock Exchange

T Muhammad, T Aziz, MS Alam - arXiv preprint arXiv:2301.04455, 2023 - arxiv.org
Stock market investment have been an ideal form of investment for many years. Investing
capitals smartly in stock market yields high profit returns. But there are many companies …