[PDF][PDF] Predicting stock prices in the Pakistan market using machine learning and technical indicators

H Raza, Z Akhtar - Modern Finance, 2024 - bibliotekanauki.pl
This study uses advanced machine learning models to predict stock prices in the Pakistani
stock market using 27 technical indicators. It evaluates the predictive capabilities of four …

Sentiment analysis of Bengali facebook data using classical and deep learning approaches

P Chakraborty, F Nawar, HA Chowdhury - Innovation in Electrical Power …, 2022 - Springer
The process of assessing the emotional tone behind a document in order to comprehend the
expressed opinions, views and emotions is known as sentiment analysis. A sentiment …

Stock Price Prediction: An Incremental Learning Approach Model of Multiple Linear Regression

MT Mahtab, AGM Zaman, MR Mahin… - AIUB Journal of …, 2022 - ajse.aiub.edu
The endeavour of predicting stock prices using different mathematical and technological
methods and tools is not new. But the recent advancements and curiosity regarding big data …

Dhaka Stock Exchange stock price prediction using Machine Learning and Deep Learning Models

D Barua - 2022 - dspace.bracu.ac.bd
The stock market is unstable and generally unpredictable, as any one of us could have
predicted. Researchers have been experimenting with time-series data to forecast future …

COVID-19 in Bangladesh: An Exploratory Data Analysis and Prediction of Neurological Syndrome Using Machine Learning Algorithms Based on Comorbidity

S Chandra Das, A Sarker, S Saha… - Machine Intelligence and …, 2022 - Springer
COVID-19 is caused by the SARS-CoV-2 virus, which has infected millions of people
worldwide and claimed many lives. This highly contagious virus can infect people of all …

MACHINE LEARNING MODELS FOR STOCK PRICE PREDICTION: A COMPREHENSIVE REVIEW OF DSE APPLICATIONS

MT Islam, NA Monira - American International Journal of Sciences and …, 2025 - acseusa.org
The prediction of stock prices remains a complex challenge due to the non-linear and
volatile nature of financial markets. Traditional methods, such as fundamental and technical …

Forecasting of COVID-19 Trends in Bangladesh Using Machine Learning Approaches

C Saha, F Masuma, N Banik, P Chakraborty - Machine Intelligence and …, 2022 - Springer
Bangladesh, a low-to-middle income economy country with one of the world's densest
populations, is ranked 26th worldwide having a positive case rate of 25%-30% of COVID-19 …

Structured Maximum Margin Twin Support Vector Machine and Its Application in Stock Trend Prediction.

LIN Mingsong, Y Xiaomei… - Journal of Computer …, 2024 - search.ebscohost.com
The stock price is affected by many factors, such as policy, macro-economy and the
company's operating conditions, among which there is a certain degree of correlation. So …

MACHINE LEARNING MODELS FOR STOCK PRICE PREDICTION: A COMPREHENSIVE REVIEW OF DSE APPLICATIONS

MT Islam, NA Monira - American International Journal of Sciences and …, 2025 - acseusa.org
The prediction of stock prices remains a complex challenge due to the non-linear and
volatile nature of financial markets. Traditional methods, such as fundamental and technical …