014: Ilan Azbel – Below the Surface of Algorithmic Trading, and Why You Must Understand the Game From a Macro Perspective

014: Ilan Azbel – Below the Surface of Algorithmic Trading, and Why You Must Understand the Game From a Macro Perspective

With an involvement in trading since his early twenties, and a background in mathematics and computer programming, it was a natural progression that this weeks guest would adapt a completely algorithmic trading approach. My friends, I would like you to meet Ilan Azbel. Ilan joins us to discuss algorithmic trading, and share some insights on a side of trading that is unfamiliar territory to many, especially in the retail space. While we spoke for close to an hour, in the scheme of things, we only just managed to scratch the surface. But all in all, I think you'll find this really interesting and enough to get you curious (and maybe even excited) about the possibilities of algorithmic trading. Learn more about your ad choices. Visit megaphone.fm/adchoices

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Avsnitt(326)

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 Jan 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 Dec 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 Dec 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 Dec 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 Dec 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 Dec 20161h 11min

102: Eugene Soltes – Unraveling a $65-Billion Ponzi Scheme and Notorious Cases of Insider Trading

102: Eugene Soltes – Unraveling a $65-Billion Ponzi Scheme and Notorious Cases of Insider Trading

Eugene Soltes is an author and finance professor at Harvard Business School. Over the past eight years, give or take, he’s spent a lot of time with many big-time executives and professionals who have ...

7 Dec 20161h 29min

Q3: Jonathan Larkin – Seeking Alpha? Try MORE Alpha Factors

Q3: Jonathan Larkin – Seeking Alpha? Try MORE Alpha Factors

In practice, no one trading model will ever be that good on its own. Luckily statistics has come up with a lot of theory about how you can combine weaker models to create better overall predictions. W...

5 Dec 201651min

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