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Syndication

On this episode, I’m joined by George—who goes by @RollyTrader on Twitter.

George is an Australian equities trader, with a momentum/swing trading type of approach. In the past, George has held a few finance-related positions, but since late-2009 he’s mostly traded independently.

During the interview, George and I got speaking about; lessons he learned early on, the effect that coaching and mentoring has had on his trading, specifics about the setups George trades, and also, his involvement with venture capital.

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I’m not sure how to best say this, but Edward Thorp, is kind of a big deal…

Not only in the world of financial markets, but he’s also a household name amongst the gambling scene. He’s the man who beat the dealer, and later, beat the market.

It was during the late-50’s and early-60’s, when Ed, a math genius and professor at MIT, took on the challenge of discovering a way to get an edge playing gambling games such as blackjack, roulette and baccarat. Long story short; Ed won—and he’s now considered the father of card counting.

From there, the next obvious move for Ed was to take on financial markets—which he also did with a great degree of success. His first hedge fund, Princeton Newport Partners, achieved an annualized return of 19.1% (before fees) over a 19-year period, with 227 of 230 months being profitable—the worst monthly loss being less than 1%.

Ed’s most recent book, A Man For All Markets, is now available on Amazon.

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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 episode, being the final installment, Delaney answers as many of these questions as possible (within 80-mins).

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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 his greatest edge—for making lucrative returns.

These are all things we cover during the interview, which includes discussion about; process, research, strategy, macro, and market regimes. We also talk about the benefits of stepping outside of your comfort zone, why there’s a need to embrace growing pains, and when emotion can be an ally.

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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’s). At which point, he was one of the traders featured in Jack Schwager’s first Market Wizards’ book.

Since then, Anthony’s continued to scale up—making major moves, both, through trading and through various business ventures.

We spoke for close to two hours; about his experience on the floor, a trader education company which he founded, some of the non-cliché traits of great traders, longevity, and how he’s grown wealth as a parallel entrepreneur, amongst other topics.

Anthony has also authored a new book for options traders; Managing Expectations.

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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 the Showtime TV series, Billions.

On this episode we cover everything, from what it was like to trade more than one billion dollars at Galleon Group—which was the hedge fund run by Raj Rajaratnam, currently serving an 11-year prison sentence for partaking in one of the largest insider trading rings in U.S. history.

Following on from this, we discuss Turney’s relationships with the sell-side and the extreme measures they’d take to win his business. Which leads into the shenanigans which took place after-hours—the cocktail of drugs, alcohol, sex, money and power.

We finish up with Turney’s fall from the top, some of the greatest realizations he’s come to, and the life he leads today… Enjoy!

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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 2010, and more recently, have expanded with a second location in Gibraltar (Europe). From inception up to the release of this episode, Priomha’s Cloney fund has returned a little over 220%.

From listening to our discussion, you’ll gain great insight to how Brendan runs his operation—from getting investors to buy in, to controlling risk and minimizing the volatility of returns, and how the fund makes money trading sports games.


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 soon hear, Alex is far from conservative.

This conversation was recorded on the 16th of November (2016), right around the time when the madness in the shipping sector was unfolding. So we got talking about the ticker DRYS and how Alex racked up a $40k loss a day or two before our interview (although, he had his first +$100k day shortly after too).

Also we spoke about how Alex got started, the types of trade scenarios that he looks for, areas that he’s working on to improve, and also his venture into real estate—where he flipped a foreclosure property for a tidy profit, plus much more.

Note: Nothing you hear on this podcast is financial advice. You’re entirely responsible for your own trading decisions.


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’s the case and also some good ways to use it carefully.

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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; Dave Bergstrom.

The thing that makes Dave unique from most traders who’ve been on this podcast previously, is how he uses data-mining techniques to develop trading strategies. Though data-mining, in trading, often has a negative connotation attached to it, Dave believes this stems from bad practices and poor evaluation of methods.

In addition to the above and ways to reduce curve-fitting, we talk about escaping randomness, learning to write code, Dave’s three laws for strategy development, setting expectations and plenty more.

Q+A: Got a question for Dave? Write in the comments area at chatwithtraders.com/103.