PODCAST EPISODE 08: These sources collectively provide a structured guide to data-driven trading and investment, emphasising a shift from intuition to systematic analysis. They outline key pillars for success, including defining realistic objectives, establishing a robust methodology for data handling and analysis, and quantifying and managing risk. The materials discuss various data-driven strategies, such as momentum, mean reversion, and algorithmic approaches, and underscore the critical need for backtesting and continuous performance analysis through meticulous trade logging to foster iterative improvement and sustainable trading.