In this podcast episode, we hear from Sam Miesse, a quantitative trader who recounts his transition from discretionary trading to creating a data-driven system for trading small-cap stocks. After two years of careful data collection and backtesting, Sam developed a model that turned an initial $10,000 investment into an impressive $3.8 million. He stresses the importance of discipline, effective risk management, and understanding liquidity limitations. Although he faced a significant drawdown, his commitment to a data-driven strategy and resilience led to his success. However, he warns against pursuing unrealistic returns and points out the risks of fraud in the financial education sector. Currently, Sam is exploring new ventures while keeping an eye on his trading system, remaining hopeful about future possibilities.
