Chat With Traders3 Dec 2015

049: Haim Bodek – Exposing the ‘Cheats’ on Wall Street, with HFT Whistle-Blower & Market Structure Mastermind

There’s a very special guest on the podcast this week, who I’m excited to introduce… His name is Haim Bodek, although some refer to him as ‘The Algo Arms Dealer’ (and I totally understand why). Haim began his trading career at Hull Trading, a prestigious firm well known for driving forward innovation in the domain of automated trading. Following Hull, Haim then went into significant roles at Goldman Sachs, and UBS – which are all discussed during the interview. But to further set the scene, in 2007 Haim founded Trading Machines, a high frequency trading operation. At the peak, Trading Machines accounted for 0.5% of all options trading volume, with a team of 25 (one of who, was Bryan Wiener of EP 040). All was well for a couple years until the beginning of 2009, when Trading Machines ran into issues and began to bleed money, for unknown reasons. Until Haim later discovered, at the root of the problem were secretive order types being used by a select few firms, giving them an unfair advantage to front-run the orders of other participants. With this discovery, Haim went to the SEC to raise his concern about such order types – little did he know at the time, that this would be the beginning for one of the most sophisticated and complex investigations carried out by the SEC to date. So of course, we speak about all of this in much more detail during the interview. And we also speak about another fascinating topic – which is, Payment for Order Flow. Haim shares with us what is really happening to your orders after you click the button to buy or sell – you might even be surprised to find out that a large majority of retail orders, never even make it to an exchange… Learn more about your ad choices. Visit megaphone.fm/adchoices

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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

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

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

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

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

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

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

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