Machine Learning to Enhance Predictive Modelling

During the COVID-19 pandemic, investors in the financial industry faced significant losses due to rapid market declines and limited decision-making time, exacerbated by restricted access to tools and connections. This study highlights the need for an autonomous financial tool to safeguard investments by analyzing market trends and making timely decisions. Utilizing artificial intelligence and machine learning, the developed model monitors market data to predict price changes, ensuring secure and efficient investment management. The research emphasizes the importance of recognizing key market forces, such as commodity trade and investor mindset, to enhance predictive accuracy and mitigate risks in volatile markets.