269: Rob Hanna - Reducing Anxiety and Drawdowns through Quantifiable Edges
Chat With Traders25 Loka 2023

269: Rob Hanna - Reducing Anxiety and Drawdowns through Quantifiable Edges

The shock of his first major losing year in 2004 as a discretionary trader, propelled Rob Hanna to find quantifiable statistical advantages that would help mitigate the fluctuations in his equity curves. Knowing the dangers of curve fitting, in trying to find that ‘perfect’ system, Rob zeroed in on simpler approaches that would combine seasonality, overbought, oversold and Federal Reserve days. The result is a system that helps minimize anxiety and drawdowns while keeping him invested for the bulk of bullish moves. Rob Hanna’s Bio: Rob is a Registered Investment Adviser Representative for Capital Advisors 360. He has worked as a full-time market professional since 2001. Prior to joining CA360, Rob managed his own private investment fund from 2001–2019 and has also run Quantifiable Edges since 2008. Quantifiable Edges offers a subscriber letter and other services focused on quantitative market analysis. Over the years, Rob has spoken at major conferences for the Market Technicians Association (MTA), the National Association of Active Investment Managers (NAAIM), and the American Association of Professional Technical Analysts (AAPTA) among others. Rob is a 1992 graduate of the Boston College Carroll School of Management. He lives and works in Massachusetts but serves institutional and individual clients across the US and Europe. You can find Rob through Quantifiable Edges, or on X (Twitter) @QuantifiablEdgs Learn more about your ad choices. Visit megaphone.fm/adchoices

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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

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 Joulu 20161h 29min

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