This episode explores the strategies and experiences of Bill Gebhardt, founder of 10 Dynamics, a systematic trading firm. Against the backdrop of his career journey—from the Chicago option pits to energy trading and Deutsche Bank—Gebhardt details his firm's unique multi-timeframe model, built on ten core trading signals. More significantly, the discussion highlights his "allergic to optimization" philosophy, emphasizing the importance of a system that mirrors a skilled prop trader's intuition rather than relying on over-optimized parameters. For instance, Gebhardt explains how his model incorporates multiple timeframes (from 30 minutes to weekly) and various markets, netting positions based on a "confidence measure" of the trend, allowing for periods of low or even zero deployment. The conversation further delves into the challenges of aligning incentives in prop trading environments within banks and the difficulties of convincing investors about the benefits of a strategy that can range from 80% net long to 80% net short in equities. Ultimately, Gebhardt's approach emphasizes risk-adjusted returns and the cyclical nature of market trends, suggesting that successful systematic trading may not solely rely on capturing mispricings but also on adapting to broader macroeconomic shifts.
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