Season 1 Episode 43
Can caveman-simple trading rules still work in today’s markets? Brent Penfold says yes. In this interview, he reveals why old strategy rules remain powerful, why portfolio-level thinking is the real …
Published on 9 hours ago
Season 1 Episode 42
Round II of a systematic trading masterclass with Laurens Bensdorp: architect non-correlated, purpose-built portfolios—mix trend following, mean reversion, and long-volatility hedges to drive smoothe…
Published on 1 month, 1 week ago
Season 1 Episode 41
Dive into the deep experience of quantitative trading with Cesar Alvarez (trader first, martial artist second), a veteran trader known for his mastery in mean reversion, breakouts, momentum, ETF and …
Published on 3 months, 2 weeks ago
Season 1 Episode 40
A Smart Portfolio of Trend Following, Mean Reversion & Hedging Strategies
Unlock insane returns with quant crypto trading! Discover how Pavel from Robuxio builds robust portfolios combining mean rever…
Published on 4 months ago
Season 1 Episode 39
Psychology for Quant Traders? Really?
Quantitative futures traders like to think in code, not clichés—but Dr Brett Steenbarger makes a compelling case that mindset is part of the edge. In this intervi…
Published on 4 months, 2 weeks ago
Season 1 Episode 38
Finishing our little mini-series on shorter-term futures trading we talk to Andrea Unger and happily inject some click-bait in the form of gloating about his 672% return in a single year when he won …
Published on 4 months, 3 weeks ago
Season 1 Episode 37
Kevin’s systematic approach melds rigorous quantitative testing with pragmatic risk management and monthly maintenance protocols. By enforcing single-pass optimizations, extensive real-time validatio…
Published on 5 months, 1 week ago
Season 1 Episode 36
In the cutthroat world of algorithmic futures trading, a structured process is non-negotiable. Kevin Davey’s approach—defining objectives, rigorous validation via walk-forward and Monte Carlo methods…
Published on 5 months, 1 week ago
Season 1 Episode 35
Many trading strategies are developed using extensive historical data to calibrate model parameters. However, this process often leads to over-optimization, where the strategy is too finely tuned to …
Published on 6 months ago
Season 1 Episode 34
Of the two biggest problems quantitative traders probably face, the first is over-optimization and the second is likely finding inspiration for new ideas. In-depth interviews with market wizards sure…
Published on 6 months, 1 week ago
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