Richard Craib's Interviews
Richard Craib – Crowdsourcing Data Science for Returns at Numerai
Today’s Sponsored Insight is from Richard Craib, the Founder and CEO of Numerai, a machine learning-based hedge fund launched in 2015 that crowdsources models from data scientists around the world to predict stock returns, incentivizes participation through cryptocurrency, and centralizes portfolio construction and ris
Can Collective Intelligence Beat the Market? (with Numerai’s Richard Craib)
Quantitative hedge funds (or “quant funds”), which rely on the work of employed mathematicians to develop complex trading strategies, are nothing new. But what if the mathematical work is outsourced to anyone, via a contest where the best predictions are rewarded with cryptocurrency? Richard Craib, founder of Numerai,
On today's episode of Empire, Jason and Mike are joined by Richard Craib, founder of Numerai, to discuss why Richard sold all his ETH. Richard is a prolific investor and has been part of the Ethereum ecosystem since the 2014 ICO. That’s why it was such a big deal when he announced he sold his ETH and that he no longer
#159 – Richard Craib: WallStreetBets, Numerai, and the Future of Stock Trading
Richard Craib is the founder of Numerai, a crowd-sourced, AI-run stock trading system. Please support this podcast by checking out our sponsors: - Audible: https://audible.com/lex to get $9.95 a month for 6 months - Tryolabs: https://tryolabs.com/lex - Blinkist: https://blinkist.com/lex and use code LEX to get 25% off
Episode 47: Chat with Richard Craib from Numerai
In this episode, we sit down with Richard Craib from Numerai to talk about crowdsourcing the role of a quant, how Numerai developed and where it is going, Dapp adoption in Ethereum and what it's like to build a hedge fund fulled by a crypto token. He also shares the new project Erasure - a decentralized data marketplac
Richard Craib - Crowdsourcing Predictive Algorithms
I intentionally avoid the world of quantitative investing on this podcast. The whole point of this format is to learn about many different fields, and the vast majority of my time is already spent in quant world. Occasionally I’ve broken this rule because of something unique, including this week’s conversation with Ric
Podcasts with Richard Craib
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