094: Kenny Glick – Shady Tales From a Real-Life Boiler Room, and Things Profitable Traders Do
Chat With Traders13 Loka 2016

094: Kenny Glick – Shady Tales From a Real-Life Boiler Room, and Things Profitable Traders Do

My guest on this episode is a former-stand up comedian, turned questionable stockbroker, turned day trader—folks, I’d like you to meet, Kenny Glick. During the 90’s, Kenny went from the stages of comedy clubs into a hyper-aggressive brokerage firm, which he describes as being identical to scenes from the movie, Boiler Room—and he has some wild stories to share, which you’ll hear very soon. Once Kenny realized his morals were getting in the way of his ability peddle junk stocks, he went on to pursue a career in trading stocks and options. And that’s, also, what we go into detail about during this episode. Additionally, you’ll pick up some simple chunks of wisdom which you can apply to your own way of trading—if you choose to. -- Sponsored by Darwinex: An online platform that allows traders to trade the market and investors to back them. Learn more at Darwinex.com/traders. Learn more about your ad choices. Visit megaphone.fm/adchoices

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108: John Netto – Being a Versatile and Adaptable Trader, While Testing Your Comfort Zone

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

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

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

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

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

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

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

Q4: Scott Sanderson – Portfolio Optimization: Risk Preferences In, Trades Out

Q4: Scott Sanderson – Portfolio Optimization: Risk Preferences In, Trades Out

When one has a price model that they think will work well for forecasting returns, the next step is to actually trade it. This isn’t that simple for a variety of reasons. For one thing, you need to de...

12 Joulu 20161h 11min

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