Introducing EVO An Evolutionary Money Management System Potomac Advisors Inc. Presented by Rich Paul 1
H e l l o ! 2 Today’s Agenda W h o I a m , W h a t I d o & H o w I d o i t 1 30-years of registered, investment advisory experience. M y p e r f o r m a n c e 2 GIPS compliant, and GIPS and Theta Research verified track record.
I N T R O D U C I N G Rich Paul 3 C a r e e r H i g h l i g h t s : • 25 year tenure as an electrical engineer/weapons system analyst. • 30 year tenure as a registered investment advisor. • Founder of Potomac Fund Management, CEO from 1987 - 2003. • Co-founding member of NAAIM - authored NAAIM’s first performance measurement standards while serving as Chairman of the committee. • Co-authored landmark JPM article: “Market Timing Works, Where it Matters Most… In the Real World.” E V O 1 H i s t o r i c a l P e r f o r m a n c e : 18.55% 15.32% 14.08% 15.29% $1000M $1000M 3 yr 7 yr 10 yr Inception P e r f o r m a n c e c a l c u l a t i o n s f r o m J u n e 1 , 2 0 0 2 t h r o u g h J u l y 3 1 s t , 2 0 1 6 . ( N e t : i n c l u d e s 2 . 7 5 % m a n a g e m e n t f e e )
‹#› 4 A B O U T U S ev · o · lu · tion-ary ( ĕ v ′ə -lo ͞ o ′ sh ə -n ĕ r ′ē ): E V O : A N A gradual process in which E V O L U T I O N A R Y M O N E Y something changes into a different and usually M A N A G E M E N T more complex or better form. S Y S T E M
‹#› 5 A B O U T U S “ Academic research indicates that T H E K E Y when multiple trading systems are aggregated the T O E V O ’ S noise and errors will tend to diversify away, while S T R A T E G Y the signal remains, and is stronger.”
A B O U T E V O 6 How signals are created EVO is a mechanical system, by which all signals are generated based on algorithmic rules using technical analysis. This eliminates all subjective biases and emotion from trading decisions. Validated Select from a New Combinations Creates Combinations are Universe of Continually Thousands of included in a 120+ Individual Evaluated for Single EVO Combinations Trading Systems Inclusion Composite
‹#› 7 • Evolved from a composite of 8 to over 20+ multiple trading systems A B O U T E V O • Trading systems are divided into long-term filters & short-term triggers. E V O ’ S • Buy / Sell / Short / Hold decisions plus protective stops S Y S T E M P R O F I L E • EVO 1 trades are executed in Rydex S&P 500 index funds • Long Positions: Rydex Nova Fund, an S&P 500 1.5X Leveraged mutual fund • Short Positons: Rydex Inverse S&P 500 Fund = Inverse 1.0X S&P 500 • Trades ~20 round trips per year (1 RT = 1 buy & 1 sell. Projection is based on current model) • “All In,” i.e., 100% invested on each trade
Performance “a posse ad esse”
= A B O U T E V O 9 EVO’s evolution: June 2002 – March 2015 A l l r e s u l t s a r e n e t o f a 2 . 7 5 f e e . E V O 1 T H E O R I G I N A L E V O 1 By using forward-testing, we can see how the original 8 system As EVO evolved from 8 to 18 systems, we see performance would have performed if never changed. improve with little change to risk & volatility. F o r w a r d - t e s t e d A c t u a l R e s u l t s A N N U A L I Z E D 10.14 % 14.11 % R A T E O F R E T U R N VS -25.27 % -27.12 % M A X D A I L Y D R A W D O W N 6.38 % 6.20 % U L C E R I N D E X
P E R F O R M A N C E 1 0 14+ Year Performance Results J u n e 1 , 2 0 0 2 t h r o u g h J u l y 3 1 , 2 0 1 6 . ( N e t o f a 2 . 7 5 f e e ) Metric EVO1 S&P 500 % of Time Invested Long 51.1% 100% % of Time Invested Short 0.4% N/A # Winning Trades 90 N/A # Losing Trades 57 N/A % of Winning Trades 61% N/A Average Gain of Winning Trades 4.06% N/A Average Loss of of Losing Trades -2.35% N/A Ratio Avg. Winning Trade to Avg. Losing Trade 1.73 N/A
P E R F O R M A N C E 1 1 Historical Performance J u n e 1 , 2 0 0 2 t h r o u g h J u l y 3 1 , 2 0 1 6 . ( N e t o f a 2 . 7 5 f e e ) Summary Statistics Calendar Year Returns (* = partial year) Year EVO1 S&P500 + / - Metric EVO1 S&P 500 YTD 8.59% 7.66% +0.93% Annualized Rate of Return 14.08% 7.31% 2015 9.12% 1.38% +7.74% Cumulative Return 547% 172% 2014 20.25% 13.69% +6.56% Standard Deviation (mo.) 4.14% 4.20% 2013 46.79% 32.39% +14.40% 2012 21.39% 16.00% +5.39% Loss Standard Deviation (mo.) 2.78% 3.71% 2011 2.38% 2.11% +0.27% Sortino Ratio RF (Citi 3 mo. TB) 1.66 0.67 2010 -2.80% 15.06% -17.86% Sharpe Ratio 0.90 0.42 2009 16.79% 26.46% -9.67% Maximum Drawdown -25.45% -51.0% 2008 16.61% -37.00% +53.61% 2007 15.93% 5.49% +10.44% Up Capture vs. Market 82.1% 100% 2006 12.44% 15.79% -3.35% Down Capture vs. Market 40.2% 100% 2005 -3.73% 4.91% -8.64% Alpha Vs. Market 10.5% 0% 2004 15.86% 10.88% +4.98% Beta vs. Market 0.39 1.00 2003 31.81% 28.68% +3.13% 2002* -1.93% -16.69% 14.76% R-Squared vs. Market 0.15 1.00
Y O U R M O N E Y Growth of a Hypothetical $100,000 Investment 1 2 A l l r e s u l t s a r e n e t o f a 2 . 7 5 f e e .
1 3 ‹#› • Consistent performance, nearly positive absolute returns • Maximum calendar year loss only -3.73% P E R F O R M A N C E • Strategy was up +16.6% in 2008: S&P down -37% R E A L - T I M E • Program doubled the return of the S&P 500 Total Return with half the risk P E R F O R M A N C E ; S T E L L A R • System evolution produced continuously improving results R E S U L T S • Actual results better than the if original composite were used • Current model projects better than the actual results (based on backtests) • Over a recent 10-year period, the program beat every single actively managed mutual fund, ETF, and all but one index (on a gross of fees basis) • 292 signals (146 round trips) over 14 years demonstrate statistically significant results
C L O S I N G T H O U G H T S 1 4 The EVO competitive advantage R e a l - t i m e S t e l l a r 1 6 Superior performance, beats on risk and All results are actual. No hypotheticals return. or back-tested results. H i s t o r y C o n s i s t e n c y 2 7 The only strategy ranked in the top four in EVO went live May 31, 2002, over 14 performance in all seven time periods from years ago. one to 10 years as tracked by Theta Research through July 2016 after applying a 2.5% advisory fee. V e r i f i e d 3 Ranking Highlights: • Three #1 rankings GIPS verified track record through June • Three #2 rankings 2014. Theta Research provides ongoing • Ranked #1 or #2 on a risk adjusted basis verification. for all time periods from three to 10 years. (Theta’s Ulcers Performance Index)
‹#› The EVO Strategy is offered through Thank You!
1 6 GIPS VERIFICATION
1 7
1 8 Potomac Advisors Performance Disclosure EVO composite performance is based on actual accounts and comprises all accounts in the composite. Composite returns are time-weighted total returns that reflect the reinvestment of dividends and capital gain distributions. Composite returns are net of the underlying mutual fund management fees and other fund (administrative) expenses. No redemption or 12(b)1 (fund marketing) fees were charged for these composites. Composite returns are shown gross of fees, thus no adjustment for fees has been made, neither for income taxes. Performance for other composites in other investment programs offered may differ materially (more or less) from the performance of this composite. The volatility of the market indices may materially differ (more or less) from that of this composite. Benchmark returns such as the S&P 500 are total returns and reflect the reinvestment of dividends. It should not be assumed that future recommendations will be profitable or equal past performance. The investment return and principal value of an investment will fluctuate so that an investor's shares, when sold or redeemed, may be worth more or less than their original cost and current performance may be lower or higher than the performance quoted. This material is for informational purposes only and does not constitute an offer to sell or a solicitation of an offer to buy any security. Such offers can only be made where lawful under applicable law. This presentation is for use by investment professionals only. It is not intended to be distributed to the public and such use is prohibited. It is intended to demonstrate to advisers the performance of the manager, not the actual performance after fees which may different for licensees of the EVO system.
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