Investment decision-makers increasingly rely on modern digital technologies to enhance
their strategies in today's rapidly changing and complex market environment. This paper …

Purpose: The study focused on the performances and investment opportunities of the
companies that contributed to the Chandrayaan 3 Project. Methodology: The study was …

Stock market (SM) analysis is a hot area of research for scientists and inventors. Financial
markets today represent the nerve that drives the economy in any country, because of the …

Stock market Prediction has been a topic of attention for numerous researchers since its
beginning. Often traditional statistical methods get conflict to grab the complex, non-linear …

Time series forecasting can be very challenging in financial markets especially in cases like
the forex (FX) markets. Its complexity, led many researchers in the forecast of the direction of …

Transfer learning appears to be one of the most influential techniques used in machine
learning today with applications in nearly all state of the art models. From natural language …

Stock price prediction has always been a difficult undertaking in the financial market since it
not only influencese investment decisions but also has a direct impact on economic …

This paper presents the development and effectiveness of deep and machine learning
techniques in forecasting stock market trends. This paper review focus on key developments …