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

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

Episoder(322)

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 Des 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 Des 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 Des 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 Des 201651min

101: Siam Kidd – Latching Onto Trends, Strategic Business Moves, and Breaking the Norm

101: Siam Kidd – Latching Onto Trends, Strategic Business Moves, and Breaking the Norm

My guest for episode 1-0-1 is Siam Kidd, from Norwich in the UK. He’s a former-air force pilot, turned retail trader. He’s also a serial entrepreneur, and on a quest to dramatically improve the school...

1 Des 20161h 55min

Q2: Jessica Stauth – Seeking Alpha? Try Alpha Factors

Q2: Jessica Stauth – Seeking Alpha? Try Alpha Factors

Factors are at the core of a modern quant equity workflow. This episode introduces the notion of alpha and risk factors at a high level, and delves into some of the use cases which include: understand...

28 Nov 20161h 7min

100: Bao, @Modern_Rock – Overcome Adversity, Dominate a Niche, Become ‘the House’

100: Bao, @Modern_Rock – Overcome Adversity, Dominate a Niche, Become ‘the House’

My guest for this special milestone (being episode 100!) is someone who I’ve been attempting to bring on since before episode one was even released… Folks, I’d like to introduce you to Bao—or better k...

24 Nov 20161h 20min

Q1: Delaney Mackenzie – You Don’t Know How Wrong You Are

Q1: Delaney Mackenzie – You Don’t Know How Wrong You Are

The worst case in finance is when you think you’re right, but you’re actually wrong. This can be especially dangerous when you’ve used some methodology or statistics to justify a decision, but are una...

21 Nov 20161h 21min

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