Developing AI-Driven Quantitative Trading Models to Empower Local Businesses

This project aims to create a quantitative trading model using statistical methods and machine learning to analyze stock and cryptocurrency markets. The initial focus is on building and testing predictive models during undergraduate studies at KIMEP, with success defined by the model’s ability to generate reliable trading signals. Ultimately, the project seeks to adapt these AI tools to support small and medium businesses in Almaty by improving cash flow forecasting and risk management, thereby bridging gaps in financial decision-making and fostering ethical digital finance education.