The first proper episode of The Algorithmic Advantage turns the spotlight on co-host Simon Mansell, who lays out his own approach to the markets in detail. Where most first episodes of a trading podcast begin with the host’s biography, this one digs quickly into strategy.
Simon’s primary orientation is mean reversion, the idea that prices which deviate significantly from a historical average tend to return toward it over time. He runs a diversified portfolio that combines mean reversion with trend following, balancing two approaches that tend to complement each other across different market regimes. When trends are weak and prices are choppy, mean reversion strategies tend to perform. When sustained directional moves develop, trend following captures them. Together they reduce the dependency on any single market condition.
The conversation covers practical strategy design: balancing long and short systems, diversifying across parameters to avoid single points of failure, and the importance of backtesting not just as validation but as a tool for building genuine conviction in a system’s logic. Simon is frank about overconfidence as an early-career hazard, and the humility he has developed since.
For listeners who are new to systematic trading, this episode is a useful starting point. For experienced practitioners, it is a clear statement of the philosophy that informs everything else the show produces.
Related reading: Read: The Birth of Trends: The Counterintuitive Role of Noise