In response to the evolving dynamics of financial markets, particularly the stock market, we propose a ground breaking project aimed at leveraging machine learning to address challenges in stock market modelling. This initiative is not only designed to analyse critical events shaping financial markets but also to provide solutions that align with government regulatory concerns.

Objectives:-

• Examine the historical context and critical events influencing stock market dynamics.
• Assess the varying degrees of sophistication in machine learning adoption within stock market modelling.
• Explore the fragmented landscape shaped by different academic disciplines underlying machine learning applications in financial markets.
• Identify specific challenges in stock market modelling, including those aligned with government regulatory concerns.