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Adam Campbell
CEA, LLC
High Liquidity Trading Program
Summary Presentation
January, 2013
WALL-1111ln fl
Past performance is not necessarily indicative of future results. The performance described herein based upon the strategy's performance is for a limited
amount of time and does not reflect performance in different economic cycles. No representation is made that investors will experience returns in the future _
that are comparable to those in this document. Please see important notes & disclosures on the last page.
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EFTA00611806
Adam Campbell
CEA, LLC — High Liquidity Trading Program
Introduction
Our trading methodology blends a well conceived systematic approach — using proprietary software
models, lean risk exposure, and continual technological innovation to deliver compelling risk adjusted
returns for investors.
WHAT WE DO - SYSTEMATIC APPROACH:
The strategy is rooted in the technical analysis of markets
We adhere to trading systems utilizing pattern recognition
• All systems have been exhaustively backtested, and subjected to walk-forward analysis — and subsequently have been in live
production for over 3 years
Highly disciplined risk management; open position exposures continually monitored with real-time analysis
• All trading algorithms, IP, and all proprietary investment & risk management methodology produced in-house (All IP ownership
retained 100%).
OUR OBJECTIVES:
- 1) We seek to consistently outperform the S&P Index within a broad context of market conditions
- 2) Capital preservation is paramount; equity curve smoothness is continually sought
- 3) Since inception we have been characterized by a high Sharpe ratio > 3.00
- 4) Our trading strategies are solely focused on the most highly liquid futures contracts (examples: Crude Oil, S&P's, Euro).
- 5) We seek to deliver daily profitability ratios consistently > than 85%, and maintain the highest levels of liquidity possible for
investors
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EFTA00611807
A Focus on Consistency
STATISTICALLY-DIRECTED & TECHNOLOGY-DRIVEN
• Non-emotional decision making; trade selection orchestrated via computer systems & proprietary trading algorithms
• Disciplined application of systematic methodology & discretionary overlay; we respond to statistically validated trade set-ups
• The methodology is capable of (and may occasionally employ) full automation from signal generation thru trade execution
MARKET NEUTRAL with respect to macro conditions
• Ability to profit regardless of prevailing market conditions
• Adaptive systematic logic that recognizes & reacts to changing market conditions
ATTENTIVE TO RISK EXPOSURE
• Judgment errors reduced through disciplined application of multiple, well conceived trading systems simultaneously
• Risk management procedures that consider price, position size, volatility, liquidity, and inter-relationships of instruments traded
• Trading systems conceived to complement one another; statistical data mining informs our portfolio decisions
SOLID RISK/REWARD
• Annualized targeted range of gross returns: 18% - 24% .
• Live-run Sharpe Ratio: 4.92
• Maximum monthly drawdown in low single digits; max drawdown since inception: -3.61%
$4:414••••4' ,7;s•
EFTA00611808
Selected Metrics
3 years of live performance
Metric Result
Sharpe Ratio: 4.92
Average Leverage Usage: 1.34x
Standard Deviation of Monthly Return: 1.68
Win / Loss Ratio Per Position 68.1%
Largest Monthly Drawdown: -3.61 %
Trough-to-Peak Duration/Max-to-Date: 7 weeks
% of Winning Months: 81%
Daily profitability ratio (methodology goes to all cash position at close > 85%
of each session):
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Performance
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec YTD
2012 CEA 3.43 0.09 0.62 0.37 0.88 0.96 0.28 0.13 1.67 -0.73 2.26 0.87 7.71
Live
Production
S&P 4.36 4.06 3.13 -0.75 -6.27 3.96 1.26 1.98 2.42 1.98 0.28 0.71 13.41
2011 CEA 1.41 0.39 0.80 0.28 0.67 0.33 0.48 1.27 1.48 0.89 0.36 6.42 13.82
Live
Production
S&P 2.26 3.20 -0.10 2.85 -1.35 1 .83 215 5 68 7 I8 10.77 0.51 0.85 0.00
2010 CEA 1.68 1.95 1.94 1.71 1.06 2.41 3.61 4.22 0.71 0.16 0.03 -0.22 8.85
Live
Production
S&P -3.70 2.85 5.88 1.48 -8.20 .5.39 6.88 4.74 8.76 3.69 0.23 6.53 12.78
2009 CEA 0.43 4.52 -0.85 1.88 0.28 0.69 1.96 0.42 0.21 1 . 10 1.27 1.40 11.10
Backtest
S&P 8.57 10.99 8.54 9.39 5.31 0.02 7.41 3.36 3.57 98 5.74 1.78 23.45
2008 CEA 1.00 0.71 0.85 0.53 0.19 0.57 0.92 0.65 0.73 4.74 3.54 2.87 18.49
Backtest
S&P 6.12 3.46 0.60 4.75 1.07 8.59 0 99 1.21 9 07 16.94 7.48 0.78 -38.48
2007 CEA -0.39 0.15 1.73 0.29 0.58 0.10 0.44 3.24 0.04 0.51 2.00 0.52 8.67
Backtest
S&P 1.41 2.18 1.00 4.33 3.25 1 .78 3 20 1.29 3.58 1.48 3.52
All live returns are audited, and are net of actual fees and expenses of 2120. Go live inception date of 1/2010. Past performance is not necessarily indicative of future
results. No representation is made that investors will experience returns in the future that are comparable to those in this document. All returns that reflect the
backtested period of performance have been subjected to treatment such that they are presented. to the best of our ability. a s net of fees and expenses as would have
been incurred.
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Adam Campbell
CEA,LLC
Key Performance Highlights
The trading program has experienced a daily profitability ratio of 85.3% since inception; the program has experienced nine (9)
'flawless' months — whereas there are no loss days during entire month — in 25% of live months since inception [11/12, 5/12,
12/11, 9/11, 8/11, 8/10, 6/10, 5/10, 1/10]
Non-correlation:
In the 2 nd quarter of 2010, our trading program produced 62 of 63 trading days profitable (only one down day in the
quarter) during a -16% peak-to-trough S&P "correction" downturn
During the 3rd and 4'h quarters of 2011, our trading program produced 64 of 65 days profitable (only one down day)
during a -20.6% peak-to-trough S&P "bear market" downturn
The methodology has a demonstrated ability to profit during days of market stress. Since inception, the market has
experienced 60 sessions of DJIA sell-offs (intraday, or by session close) of -200 or more points to the downside; our
program has profitably (95%) traded through 57 of 60 of such sell-off sessions — including a profitable day on the Flash
Crash of May 6, 2010
Since inception, our trading program has notched (8) eight months of 500+ basis point "beats" vs. the S&P 500 [1110,
5/10, 6/10, 8/10, 8/11, 9/11, 12/11, 5/12]. As well, system notched an additional (8) months of 500+ bip outperformances
over 3 year backtest period.
Our approach includes ultra high / daily liquidity. Since inception, our "time-in-market" exposure percentage is 32% (we
maintain 100% cash position during approximately 68% of open market hours)
Out Performing Our Benchmark:
I I-
^ r r. '0 I
$100,000 initial investment, becomes: $190,898 $100,556
CAGR (6 yr. Compound Annual Growth Rate) 11.40% 0.09%
EFTA00611811
Adam Campbell
CEA, LLC
Competitive Edge
Our approach is the realization of 15+ years of price pattern recognition — analysis, research & development, statistical
analysis of data, and sequential improvements thru our software iterations
18 distinctive systems at software maturity; nearly 3 dozen proprietary software component pieces. All lend themselves to
blended combinations; facilitates nearly unlimited upside capacity, and abilities for portfolio diversification
15 + years price data horizon exhaustively analyzed; backtested & forward-tested.
• Decay analysis of "walk-forward" periods indicate certain trading systems have grown stronger
• Analyzed over 500,000 potential trades; stress-tested over 40,000+ fully signaled transactions
• Fully backtested over 3 year period prior to live inception
Over 3 years of live, audited production results from systematic methodology. Over 8,000 fully signaled, executed
transactions in real-time to-date.
High Capacity: Estimated capacity for strategy is > $800M
Attribution Analysis: Trading program at times produces a negative correlation to S&P
Individual trading systems (18 in total to-date) each capable of self sufficiency & delivering profitability; it is the combined
output of all systems — a collective 'voting' process - that has proven capable of delivering exceptionally smooth performance
curves
Our methodology is built to harvest trade data via relational database mining — we seek to exploit all data elements
surrounding "the trade" akin to a "credit scoring algorithm"
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Live example: Methodology's Equity Curve (Performance Graph) during a
strong month.
May. 2010 (vs S&P off -8.2%) Significant Non-correlation
Equity Curve Line
Equity tune Una 40430/10 6P-20 - 00140 16:151
40000
30000
20000
Legend
Trades
• Peaks
10000
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-10000
100 200 330 400 500 600 700 800 900 1000 1100
Trade Humber
Pet/mance Su-nraary Tiede Analysts I bade: Let 1 Pen:Kkei Returns Pedarmance6raphe Nth Graphs] Settings
Generated: 6/212010 at 6:24:S3PM
Cleated wlitTiadeStati3n
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Live example: Methodology's Performance Curve
During a strong quarter (Q2,2010. Marked by smooth production during a -16% peak/trough S&P
downturn) Significant Non-correlation
Eqier Cove Line
Equity Curve Line 103 3110 118:02 04 301116:15)
220000
200000
180000
160000
140000
120000
et;
Legend
tat 100000
Trades
• Peeks
80000
60000
40000
20000
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20000
1000 2000 3000 4000
Trade Nine,
Peefarnence Summery Tiede Andyne Trade: Lei Perixical Realms rpelformance Graphs Pride Graphs I Saints I
Generated: 6/30/2010 at 12:24:31 PM
Geared web TodeStatiee
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More examples - Methodology's live Equity Curve: performance outcomes &
desirable `pattern'
May. 2011 (vs. S&P off -1.35%) — Non-correlation
E y Curve me
Equity Curve Linea, 02.11119:35 - 950111 16:151
30000
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Peal:
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100 200 300 400 500 003 700 800 900 10W 1100 1200 1300
Trade Meter
PlrelormenGe Summary) T fe05.6.nalysis bade* list Perixlical Roams Pellomance Gtephs I Trade 610/h1If San,*
Generated: 5/3112011 at 2:56:10 PM
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Another example: the system's live Equity Curve — demonstrating the
curve `smoothness' we seek.
(May. June 2011 no loss days for methodology system vs. S&P -3.18% in May, June)
I Ewa Curve Lire
Ecaray Cleve 1.10e 1OS 107 II 09:35 • 0600 II 16:15/
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Trade Kanter
I Pelfarriance Summary I Trade Amami' It Trades Litt I Periockal Returns i Performance Graph. J Trade 0taphe I: Settings I
C4909441:49: 6/30/2011 at 4:35:59 PM
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Price Pattern Recognition; Elements
Fi-865 75 10-820 25 V-1223.729 800808 887824 (Cane.O018.O01420.2.-2.0) 827 49
a
Slocnouic Sbw (141911,Low.C1=4.14.3.3.110A0) 93 98
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Methods: We propose to trade market "liquidity" wherever we may find it.
Essentially, our methodology is asset class agnostic.
Examples below:
• Use of Highly Liquid
TRADING ENGINES Markets & Instruments
SPY
Characterized by high daily
Oil volume; extreme liquidity;
Highly and price composite
Liquid S&P characteristics —IE. not
Instruments individual equity "names"
Euro TRADE DURATION
• R/D work completed on
vxx
over 50+ highly liquid
instruments
TIME IN MARKET EXPOSURE
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How We Trade It: Employ systematic approach to exploit predictive price
patterns found amidst liquidity. Continually applying multiple sub-systems
(trading engines)
TRADING ENGINES Our portfolio continually
employs 3 or more
Zen , Apollo I I iggin trading engines
od
Each engine a distinct,
Highly systemic software
Liquid routine
Instruments TRADE
DURATION
Each individual engine
VXX
capable of functioning
\ \ as a fully- automated
expert system
TIME IN MARKET EXPOSURE Multiple engines -
simultaneously aimed
at each traded vehicle:
decisioning 'summation'
as a "voting"
mechanism
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Resulting Diversification: the "Cube" delivers exceptionally smooth equity
curve; strong Sharpe ratio; and extremely high AUM capacity levels.
Featuring as many as
45 engine + instrument
TRADING ENGINES + timeframe
"combinations"
Extensive blending of
timeframes &
Highly Liqui TRADE instruments available
Instruments DURATION
Capital allocations per
trade/position closely
monitored
Stop-loss thresholds per
TIME IN MARKET EXPOSURE position monitored via
real-time analysis
Extension of cube in all
dimensions: inter-
changeable components
& malleable core trading
engines
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A few examples: Our Trading Systems
Algo Description
Zeus • Based on proprietary applications of multiple-price-wave analysis
• Characterized by intermediate time-sensitivity; trade duration
• Responsive to price/momentum shifts over intermediate term; long/or short side
Higgins • Based on proprietary applications of trend following systems
• Unique employment of trend lines
• Responsive to trending conditions of market/price behavior: long or short
Apollo • Based on proprietary work with time sensitivity analysis & statistical price arbitrage
• Characterized by strong entry signaling
• Responsive to sideways/trendless conditions; as well as mildly volatile conditions
A
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Hedging Strategy
Risk How Does Methodology Consider Risk Management ?
Classification
Portfolio • Multiple trading engines adaptive & responsive to changing market conditions
• Typically 50/50 long/short trade composition
• Net long/short exposure rarely more than 20%
Market • Balance via time-in-market exposure. system goes to 100% cash at session close
• Blending of short to intermediate term trades; extremely nimble.
• Relative position size allows agility
• Time-in-market ratio: 32% exposure / 68% on sidelines.
• Seek statistically- driven profit opportunities. > 85 daily profitability. At individual
trade level composition; system realizes > 68% win/loss ratio.
Positional • Capital allocation at position level (per trade) closely monitored; max single
positional loss exposure of < 1.5% of total portfolio.
• Overall portfolio loss thresholds monitored at roll-up level; real-time risk
management monitors total single max day portfolio exposure to < 2.25%.
Liquidity • Employ only most liquid instrument classes
• Nearly all highly liquid instrument classes have proven adaptive to methodology
methodology.
• Methodology represents < than .0005% of liquidity/volume - per instrument traded
• Methodology's 'default' position is to go to 100% cash.
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Bio & Contact Info
Adam Campbell
Adam holds a B.A. in Economics from the College of William and Mary and an M.B.A. in Finance & Information
Technology from Jacksonville University. He also received a Certificate in Accounting from the University of Virginia.
Adam has 16 years of experience in systems testing, software engineering, algorithm development, securities
trading, and portfolio management. Adam is a Registered Investment Advisor, and holds Series 3, 30, and 65
licenses.
Most recently, Adam joined with True North Partners, LLC as a CTA, commodities trader, and systematic researcher;
carrying trading responsibility for $150M in notional value. Previously, Adam was the Managing Partner, Founder,
and Portfolio Manager for the Magnum Fund, LLLP, a systematic hedge fund. Adam built the Magnum Fund from a
'Day One' start up, to a successful multi-million [in AUM] Fund that delivered consistent S&P beating returns over his
tenure. Before launching the Magnum Fund, Adam was the Founder of Canal Street Capital, LLC, where he led a
team of software engineers in creating proprietary trading algorithms and also served as the firm's Head Trader.
Earlier, Adam initially created Campbell Equity Advisors, LLC, where he first began to incorporate advanced
computer modeling into his trading methodology. Adam has also held senior-level positions at Oracle and SAP.
Contact Info:
Adam Campbell, Managing Director
Campbell Equity Advisors, LLC
14161 Netherfield Drive
Midlothian, VA 23113
o. 804.594.1924
m.
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ℹ️ Document Details
SHA-256
ffebb23f547f37823d6fa98c8eaea9141f7333abf3b90b546e0e507777aee967
Bates Number
EFTA00611806
Dataset
DataSet-9
Type
document
Pages
18
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