Flirting with Models cover image

Flirting with Models

Bill Gebhardt - Replicating Discretionary Commodity Trading Systematically (S7E9)

Jul 1, 2024
51:36
Snipd AI
Former discretionary energies trader Bill Gebhardt, now founder of 10Dynamics, discusses the transition to systematic trading, emphasizing signal incorporation, risk management, and operational strategies. Topics include trend-following models, balancing long-term trends with risk control, risk management in trading programs, operational challenges in shortening time frames, and systematically replicating discretionary commodity trading using Python.
Read more

Podcast summary created with Snipd AI

Quick takeaways

  • Transition from discretionary to systematic trading process by Bill Gebhardt at Ten Dynamics.
  • Combining signals from various timeframes for capturing market shifts and managing risk effectively.

Deep dives

Discretionary Background Influencing Systematic Approach

Bill Gebhardt, founder of Ten Dynamics, transitioned from a discretionary energies trader to co-founding a fully systematic firm. Despite his discretionary past, Ten Dynamics uses a systematic process that Bill discusses in relation to signal types and risk management. Bill's career evolution and innovativeness demonstrate how his former experience informs and shapes the firm's current strategies.

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode