052: Ernie Chan – How Quant Strategies Are Created, Scrutinized and Introduced to the Market

052: Ernie Chan – How Quant Strategies Are Created, Scrutinized and Introduced to the Market

This week I had the great pleasure of speaking with Dr Ernest Chan, from Toronto (Canada). While many traders in the quantitative arena will already be familiar with Ernie, here’s a brief intro… You could say, Ernie had somewhat of an unconventional introduction to trading – he started out on a research team at IBM, using machine learning and artificial intelligence techniques, teaching computers to understand human languages – before joining a prop trading group. Today, Ernie has upwards of 15 years applying similar techniques to the domain of finance and trading – working with multiple prop firms and hedge funds across his career. And currently, Ernie is the managing member of QTS Capital Management. Just to top it off, Ernie has written two books ‘Quantitative Trading’ and ‘Algorithmic Trading’, and also regularly speaks at conferences. Some of the topics we cover during this episode are; diversification, capital allocation, generating strategy ideas, back-testing and a much more. Learn more about your ad choices. Visit megaphone.fm/adchoices

Episoder(320)

132: Mark Gardner – Still Adapting After 80,000+ Hours of Screen Time

132: Mark Gardner – Still Adapting After 80,000+ Hours of Screen Time

Mark Gardner began working in the field at 17-years old, straight out of high school. Initially he began with back office duties, before broking on the floor of the Sydney Futures Exchange (SFE). Then...

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131: Morgan Slade – Strategy Development, Powered by Machine Learning

131: Morgan Slade – Strategy Development, Powered by Machine Learning

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130: Ben Mallah – How to Own 100’s of Millions of Dollars of Real Estate

130: Ben Mallah – How to Own 100’s of Millions of Dollars of Real Estate

Ben Mallah is a trader of a different kind—he doesn’t trade stocks and bonds, he trades in real estate. You could probably call him a property developer, although he doesn’t build from scratch; he buy...

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129: Victor Haghani – Optimal Bet Sizing—Lessons From a Biased Coin Flip Experiment

129: Victor Haghani – Optimal Bet Sizing—Lessons From a Biased Coin Flip Experiment

Victor Haghani began his career at Salomon Brothers in 1984, starting out in a research role before joining their prop trading desk. In 1992, Victor left Salomon to become one of the founding partners...

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128: Andy Kershner – Risk Tolerance, Daily Habits and Trade Critiques

128: Andy Kershner – Risk Tolerance, Daily Habits and Trade Critiques

Andy has been an active stock trader since the early 90’s, and in 2001 he founded Kershner Trading Group—a proprietary trading and technology firm in Austin (Texas) and, through a partnership with SMB...

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127: Nell Sloane – Becoming a CTA—How to Begin Managing Money

127: Nell Sloane – Becoming a CTA—How to Begin Managing Money

Though not a trader herself, Nell Sloane has been in and around markets and exchanges for roughly 30-years, mostly working in roles that assisted commodity traders and brokers in one way or another. T...

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125: Matthew Hoyle – Getting Hired—Who Trading Firms and Hedge Funds Are Seeking Out

125: Matthew Hoyle – Getting Hired—Who Trading Firms and Hedge Funds Are Seeking Out

Matthew Hoyle was once a trader, or more specifically, an options market maker. And he started at a very young age, on the exchange floor in Amsterdam. But since 2003, he’s been in the headhunting (or...

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124: Max, @Madaznfootballr – When Chasing a Quick Buck Becomes Making a Quick Buck

124: Max, @Madaznfootballr – When Chasing a Quick Buck Becomes Making a Quick Buck

Max got into trading about six years ago, after a co-worker pulled up in a brand new Lotus Elise—paid for with gains from trading BP stock. Working as an engineer at the time, with average pay, it was...

11 Mai 20171h 12min

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