This podcast episode provides an in-depth exploration of executing large trades and developing trading strategies, emphasizing the integration of quantitative techniques and real-world experience. Morgan discusses the complexities involved in executing a $100 million trade and presents a counterintuitive three-step approach to strategy development: Signal Generation, Risk Allocation, and Trade Expression. He highlights the significance of integrating machine learning and data science into trading practices while stressing the importance of mentoring and collaboration between traditional traders and data scientists. Through practical examples and insights on platforms like CloudQuant, he illustrates how informed strategy development, analytic rigor, and innovative execution can lead to improved trading performance and profitability.
