The Algorithmic Advantage
The Algorithmic Advantage
The Algorithmic Advantage is a podcast about quantitative trading and investing. We're here to expand the toolkit of the quant-trading community and introduce investors to the many advantages of systematic trading. Our goal is to educate and inspire as we embark on a captivating journey into the vast knowledge and experience of leading portfolio managers and other experts in the field! www.algoadvantage.io
Author
The Algorithmic Advantage
Category
Podcast website
Latest episode
May 26, 2026
Where to listen?
Podcasts in the app Replaio Radio Coming soonPodcasts are coming to the app soon. Install now and be the first to see a whole new take on podcasts
Install for free
Android 5M+ downloads · 4.8 rating
iOS soon
Episodes
003 - Two Quants - Moritz Seibert & Moritz Heiden (Part I) 18.09.2023 1:11:15
On episode 3 we cover a lot of ground with the two very sharp quants from Takahe capital. We cover numerous topics related to their trend following strategies, get into some deep discussion about their philosophy & generally try to unpack some practical tips for the rest of us!
002 - Validate for Yourself! The Science of Trend Following - Richard Brennan 22.08.2023 1:10:50
On our second show we continue getting to know your hosts - this time chatting to Rich about his systematic trend following.
001 - Diversified Quant - Mean Reversion + Trend - Simon Mansell 22.08.2023 50:31
Kicking off the podcast learning about how Simon himself approaches the markets. We get into mean reversion, trend following and strategy specifics.
000 - Welcome to The Algorithmic Advantage 17.08.2023 7:05
A very brief introduction to the show, who we are and what to expect! Get in touch at www.thealgorithmicadvantage.com Enjoy the ride!
Similar podcasts
Listen to the The Algorithmic Advantage podcast in Replaio
Radio and podcasts in one app - free, with no sign-up. Install today and do not miss the launch
Replaio is not a podcast publisher; show names, artwork and audio belong to their authors and are distributed through public RSS feeds.
