Quantitative Trading

topic on 4 shows · 6 statements across 6 episodes

Latent Space Capital Allocators How I Built This the a16z Podcast

6 statements about Quantitative Trading, every show

LATENT SPACE Assertion Not checkable as stated
Swix: My fund was among the first combining social data with quantitative trading
“We were sort of the first to combine like social data with quantitative trading. And I think I think now it's very common”
Shawn Wang Mar 14, 2025 ▶ 13:55 Snipd: The AI Podcast App for Learning — with CEO Kevin Ben-Smith
Beauchamp: Small trading funds hold an advantage exploiting niche market anomalies
“If you have a fund of ten million dollars, if you find a little anomaly in the market that you might be able to make a hundred K a year from, that's a one percent return on your ten million fund. If your fund is a hundred K, that's a hundred percent return, ri…”
William Beauchamp Jan 26, 2025 ▶ 2:33 Outlasting Noam Shazeer, Crowdsourcing Chai AI w/ 1.4m DAU — with William Beauchamp, Chai Research
Talent mapping is efficient in equity long/short but inefficient in quants
“It's relatively efficient. I think it depends on the transparency of the strategy. So equity long short, I would say is pretty efficient. There's a lot of teams. They all go to the same conferences. A lot of them know each other. People move around. Analysts m…”
Dmitry Balyasny Oct 2, 2023 ▶ 32:47 Dmitry Balyasny – Multi-Strategy Platform at BAM (EP.341)
Tenev: Quantitative trading benefited from 2008 volatility due to wider spreads
“Quantitative trading actually benefited from the volatility in 2008, because the more volatility in the markets, the wider bid ask spreads are.”
Vlad Tenev Apr 12, 2021 ▶ 12:35 Robinhood: Vlad Tenev
Karp: Pure quantitative trading has become a technological arms race for speed
“Primarily because I sort of felt like it was an arms race, which it certainly has become, but where it was just sort of a race for people who had faster machines and faster connections to the New York Stock Exchange.”
Jason Karp Nov 11, 2019 ▶ 8:00 Jason Karp – From Hedge Funds to Health and Wellness at HumanCo (First Meeting, EP.12)
a16z Insight
Rampell: Using black-box trading models without cause-and-effect logic risks blow-ups
“So yes, I mean, like, when you don't understand the why, and then when, especially if the future is going to be different than the past, that's definitely a cause for a blow-up.”
Alex Rampell Jan 2, 2019 ▶ 15:42 a16z Podcast | Principles and Algorithms for Work and Life

← every entity, every show

Made with StarZero

Turn any episode into a week of clips.

This entire site, thousands of episodes across every show transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.