Q6: Delaney Mackenzie – Your Quantitative Trading Questions Answered
Throughout this series, which has been a window into the workflow of professional quant trading firms, we’ve encouraged you to submit questions and requests for further clarification. So, in this epis...
23 Tammi 20171h 15min
108: John Netto – Being a Versatile and Adaptable Trader, While Testing Your Comfort Zone
John Netto, a former U.S. marine, describes himself as a high velocity, cross-asset class trader. He connects the ability to be versatile, adaptable, and interpret large amounts of information to be h...
19 Tammi 201754min
107: Anthony Saliba – A 40-Year Trading Career Fueled by Necessity—the Mother of Invention
For the great, Anthony Saliba, his initial 13-years in the field were spent as a market maker on the CBOE floor, where he made approximately $9,000,000 before 30 years old (and that was during the 80’...
12 Tammi 20171h 49min
106: Turney Duff – A Wall Street Trader’s Tale of Spectacular Excess
Turney Duff was a hedge fund trader on Wall Street who lead a truly excessive lifestyle. In 2013 he released a book about his experiences—titled, The Buy Side. And currently, Turney is a consultant on...
5 Tammi 20171h 16min
105: Brendan Poots – How a Former Punter Pioneered a Premier Sports Betting Hedge Fund
Brendan Poots is the founder of sports betting hedge fund, The Priomha Group, who mainly bet on football, cricket, golf and also horse racing and tennis. Priomha setup shop in Melbourne (Australia) in...
29 Joulu 20161h
104: Alex, @AT09_Trader – An Appetite For Risk, and Hitting Hard When Opportunity Arises
Alex (@AT09_Trader) is a 22-year old, discretionary day trader, who’s seen great results in the few years he’s been grinding away at this. He trades small caps, and he trades aggressively—as you’ll so...
22 Joulu 201659min
Q5: Max Margenot – Good (and Not So Good) Uses of Machine Learning in Finance
Machine learning is a hot topic right now, with a lot of people wondering how it could be used in finance and trading. Used naively, machine learning poses a great deal of risk. We’ll discuss why that...
20 Joulu 201656min
103: Dave Bergstrom – Escaping Randomness, and Turning to Data for an Edge
On this episode, I’m joined by a quant trader who works at a high frequency trading firm—though you might be surprised to hear, he started out on the same path that many retail traders do—his name is;...
15 Joulu 201658min
