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JayTrader Two

Stocks · Started May 2010

hypothetical · Annual Return (Compounded)
-0.5%
Max Drawdown
24.9%
Trades
250
Win Trades
59.2%
Profit Factor
1.10
Win Months
4.1%

About this strategy

JayTrader Two is easy to trade, sticks to liquid stocks, takes both long and short positions, and uses almost no leverage. Both entry and exit orders can be placed in the evening. Profit targets and stop losses are used. See the system forum for lots of good information.

Table of Contents
1. System Overview
2. How to Trade
3. FAQ
4. Backtest Methodology & Results

Disclaimer: Past performance is no guarantee of future success. Every investor and trader is responsible to make their own trading decisions.

========================================
== 1. System Overview
========================================

JayTrader Two has the following system attributes:

-- Trades equities only, with no ETFs

-- EOD data used to derive signals

-- Fully mechanical (i.e. no discretionary choices) entry signals generated using proprietary system, with set exit criteria for each trade

-- takes both long and short positions

-- each position has bracket orders associated with it, a profit target and stop loss

-- holds each trade 3 full days (unless a stop loss or profit target is triggered)

-- entries and exits happen at market open (aside from a stop loss or profit target triggering the exit)

-- all orders can be entered in the evening

-- up to 4 positions at a time, with a maximum of 3 shorts held simultaneously (up to 4 longs can be held at the same time)

-- short positions are allocated 17.5% of equity

-- long positions are allocated 27.5% of equity

========================================
== 2. How to Trade
========================================

Auto-trading is supported. However, if you want to manually trade the the system, keep reading. I manually trade it in my own account.

Here's how I trade this system using Interactive Brokers. I have set up short-cut keys to speed up the process. All told, it takes about 5 minutes a day to trade when there is activity.

1) An entry signal is received by email from Collective2 in the evening. The entry order is entered as a market order for regular market hours (that is, it will execute the next trading day at the open). A bracket order (stop loss and profit target) is attached to the main entry order using a relative offset. The actual price of the brackets won't be known until the position is entered. I therefore enter the order on Interactive Brokers with a bracket 20% above and below that day's close as a placeholder.

2) Just after the market opens, Collective2 sends an email with the bracket prices. I update my bracket orders with Interactive Brokers to reflect the actual profit target and stop loss as soon as possible.

3) Within the next two days, Collective2 sends out a "park until" exit order for the position that is merged into the bracket OCA group. In other words, if one of the bracket orders doesn't execute in 3 days, the position exits. I match that "park until" order with in Interactive Brokers.

Alternatively, in the evening, when the "park until" order becomes effective, you could enter an exit order in Interactive Brokers and cancel the bracket orders.

========================================
== 3. FAQ
========================================

Question: Does this system magically make money every single day with no drawdowns?

No. As in absolutely not. This system is designed with the goal to provide a statistically significant edge that will generate profits over a significant period of time. That is the goal. However, "significant period of time" is measured mostly in weeks, but sometimes in months. Drawdowns will occur, and they will occur regularly.

Question: Is the system 100% mechanical?

Yes. All entries and exits are tied to predetermined signals and rules. Even the "risk of ruin" stop is predetermined (i.e. how do you know if the system is broken).

Question: How do you handle a complete failure of the system? How do you know it happened?

If the system has a drawdown of 19%, trading will be temporarily halted to assess the situation. Refer to the backtest results in the forums and you will see that a 19% drawdown is approximately 2 standard deviations above the average of max drawdowns against the unique historical simulations.

========================================
== 4. Backtest Methodology & Results
========================================

The backtest results presented in the forums are not meant to determine the future performance of the system. Rather, they reflect the soundness of the system, and the possibility of solid future performance.

I take the following approach with my mechanical trading systems.

1) Only build systems with hundreds or thousands of trades (or more).
2) Minimize the number of discrete variables used to generate signals.
3) Give some account of friction.

Per point 3, I add broker fees and liquidity requirements to my backtesting. I use Interactive Brokers' commission structure as a model, and require every trade be made on stocks that are moving greater than $10M dollars a day of volume.

1 & 2 together help safeguard against curve-fitting historic data. However, even with such an approach, I do not believe the statistics from a single, optimized backtest are sufficient to describe a trading system. I therefore go a step further to define the performance potential of the system.

4) Add a random variable to every signal generated, such that there is a 10% chance that any signal will be ignored and the next, lower-ranked signal is taken instead.

5) Run through the system hundreds of times. The random variable, combined with the hundreds or thousands of potential trades (see point 1), ensures each run generates a unique set of trades.

I then build histograms of the performance of several key variables. This approach yields a much more accurate view of "what could have happened". Of course, past results are no guarantee of future performance.

In the forums, you will find the results listed for several critical variables from my backtesting of JayTrader Two. Over 1000 individual runs were made, each yielding unique results.

The test results are documented in the system's discussion forum so there is a historical record when changes are made to the system.

Hypothetical Monthly Returns (includes fees/commissions)

YearJanFebMarAprMayJunJulAugSepOctNovDecYTD
20105.5-7.72.512.14.3-5.4-17.13.4-5.2
20113.55.70.4-2.5-6.4-0.6-0.9-0.4-0.4-0.4-0.40.0-2.6
20120.00.00.00.00.00.00.00.00.00.00.00.00.0
20130.00.00.00.00.00.00.00.00.00.00.00.00.0
20140.00.00.00.00.00.00.00.00.00.00.00.00.0
20150.00.00.00.00.00.00.00.00.00.00.00.00.0
20160.00.00.00.00.00.00.00.00.00.00.00.00.0
20170.00.00.00.00.00.00.00.00.00.00.00.00.0
20180.00.00.00.00.00.00.00.00.00.00.00.00.0
20190.00.00.00.00.00.00.00.00.00.00.0
20200.00.00.00.00.00.00.00.00.00.00.00.00.0
20210.00.00.00.00.00.00.00.00.00.00.00.00.0
20220.00.00.00.00.00.00.00.00.00.00.00.00.0
20230.00.00.00.00.00.00.00.00.00.00.00.00.0
20240.00.00.00.00.00.00.00.00.00.00.00.00.0
20250.00.00.00.00.00.00.00.00.00.00.00.00.0
20260.00.00.00.00.00.00.00.00.00.0

Statistics

Overview

Strategy began5/11/2010
Suggested Minimum Capital$10,000
Age199 months
What it tradesStocks
# Trades250
# Profitable148
% Profitable59.2%
Avg trade duration3.4 days
Max peak-to-valley drawdown24.9%
drawdown periodOct 04, 2010 - June 17, 2011
Annual Return (Compounded)-0.5%
Avg win$97
Avg loss$133

Ratios

W:L ratio1.05
Sharpe Ratio-0.38
Sortino Ratio-0.49
Calmar Ratio0.02

CORRELATION STATISTICS

Correlation to SP5000.03
Return Percent SP500 (cumu) during strategy life560.6%
Return of Strat Pcnt - Return of SP500 Pcnt (cumu)-568.4%

Return Statistics

Ann Return (w trading costs)-0.5%
Return Pcnt (Compound or Annual, age-based, NFA compliant)-0.0%
Return Pcnt Since TOS Status0.0%
Ann Return (Compnd, No Fees)0.4%

Slump

Current Slump as Pcnt Equity28.5%
Current Slump, time of slump as pcnt of strategy life1.0%

Instruments

Percent Trades Forex0.0%
Percent Trades Futures0.0%
Percent Trades Options0.0%
Percent Trades Stocks1.0%

Risk of Ruin (Monte-Carlo)

Chance of 10% account loss100.0%
Chance of 20% account loss100.0%
Chance of 30% account loss0.0%
Chance of 40% account loss0.0%
Chance of 50% account loss0.0%
Chance of 60% account loss (Monte Carlo)0.0%
Chance of 70% account loss (Monte Carlo)0.0%
Chance of 80% account loss (Monte Carlo)0.0%
Chance of 90% account loss (Monte Carlo)0.0%
Chance of 100% account loss (Monte Carlo)

Automation

Percentage Signals Automated0.0%

Popularity

Popularity (Today)0
Popularity (Last 6 weeks)0
Popularity (7 days, Percentile 1000 scale)0

Trading Style

Any stock shorts? 0/11

Trades-Own-System Certification

Trades Own System?0
TOS percent0.0%

Win / Loss

Avg Loss$133
Avg Win$97
# Winners148
Sum Trade PL (losers)$13,585
Sum Trade PL (winners)$14,342
Num Months Winners9
# Losers102
% Winners59.2%

Dividends

Dividends Received in Model Acct-13

Age

Num Months filled monthly returns table197

Frequency

Avg Position Time (mins)4958.85
Avg Position Time (hrs)82.65
Avg Trade Length3.40
Last Trade Ago5549

Regression

Alpha-0.01
Beta0.01
Treynor Index-0.59

Maximum Adverse Excursion (MAE)

MAE:Equity, average, all trades0.01
MAE:Equity, 95th Percentile Value for this strat0.01
MAE:Equity, average, losing trades0.02
MAE:Equity, losing trades only, 95th Percentile Value for this strat
MAE:Equity, average, winning trades0.01
MAE:Equity, win trades only, 95th Percentile Value for this strat
Avg(MAE) / Avg(PL) - All trades-28.43
MAE:PL (avg, all trades)2.28
MAE:PL (avg, losing trades)
MAE:PL - Losing Trades - this strat Percentile of All Strats42.05
MAE:PL - Winning Trades - this strat Percentile of All Strats86.07
MAE:PL (avg, winning trades)
MAE:PL - worst single value for strategy
Avg(MAE) / Avg(PL) - Winning trades0.70
Avg(MAE) / Avg(PL) - Losing trades-1.32
Hold-and-Hope Ratio-0.04

RATIO STATISTICS

Mean0.01
SD0.10
Sharpe ratio (Glass type estimate)0.09
Sharpe ratio (Hedges UMVUE)0.09
df55
t0.20
p0.42
Lowerbound of 95% confidence interval for Sharpe Ratio-0.82
Upperbound of 95% confidence interval for Sharpe Ratio1.00
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-0.82
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation1.00
Sortino ratio0.12
Upside Potential Ratio0.86
Upside part of mean0.07
Downside part of mean-0.06
Upside SD0.06
Downside SD0.08
N nonnegative terms50
N negative terms6
N of observations56
Mean of predictor0.45
Mean of criterion0.01
SD of predictor0.22
SD of criterion0.10
Covariance-0.00
r-0.01
b (slope, estimate of beta)-0.01
a (intercept, estimate of alpha)0.01
Mean Square Error0.01
DF error54
t(b)-0.10
p(b)0.54
t(a)0.22
p(a)0.41
Lowerbound of 95% confidence interval for beta-0.13
Upperbound of 95% confidence interval for beta0.12
Lowerbound of 95% confidence interval for alpha-0.10
Upperbound of 95% confidence interval for alpha0.12
Treynor index (mean / b)-1.54
Jensen alpha (a)0.01
Mean0.00
SD0.10
Sharpe ratio (Glass type estimate)0.04
Sharpe ratio (Hedges UMVUE)0.04
df55
t0.09
p0.47
Lowerbound of 95% confidence interval for Sharpe Ratio-0.87
Upperbound of 95% confidence interval for Sharpe Ratio0.95
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-0.87
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation0.95
Sortino ratio0.05
Upside Potential Ratio0.79
Upside part of mean0.06
Downside part of mean-0.06
Upside SD0.06
Downside SD0.08
N nonnegative terms50
N negative terms6
N of observations56
Mean of predictor0.42
Mean of criterion0.00
SD of predictor0.21
SD of criterion0.10
Covariance-0.00
r-0.01
b (slope, estimate of beta)-0.00
a (intercept, estimate of alpha)0.01
Mean Square Error0.01
DF error54
t(b)-0.06
p(b)0.52
t(a)0.10
p(a)0.46
Lowerbound of 95% confidence interval for beta-0.13
Upperbound of 95% confidence interval for beta0.13
Lowerbound of 95% confidence interval for alpha-0.10
Upperbound of 95% confidence interval for alpha0.12
Treynor index (mean / b)-1.12
Jensen alpha (a)0.01
VaR(95%)0.05
Expected Shortfall on VaR0.06
VaR(95%)0.00
Expected Shortfall on VaR0.01
Mean0.02
SD0.17
Sharpe ratio (Glass type estimate)0.11
Sharpe ratio (Hedges UMVUE)0.11
df1223
t0.23
p0.50
Lowerbound of 95% confidence interval for Sharpe Ratio-0.80
Upperbound of 95% confidence interval for Sharpe Ratio1.02
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-0.80
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation1.01
Sortino ratio0.15
Upside Potential Ratio3.49
Upside part of mean0.41
Downside part of mean-0.40
Upside SD0.12
Downside SD0.12
N nonnegative terms1099
N negative terms125
N of observations1224
Mean of predictor0.46
Mean of criterion0.02
SD of predictor0.31
SD of criterion0.17
Covariance0.00
r0.05
b (slope, estimate of beta)0.03
a (intercept, estimate of alpha)0.01
Mean Square Error0.03
DF error1222
t(b)1.81
p(b)0.47
t(a)0.07
p(a)0.50
Lowerbound of 95% confidence interval for beta-0.00
Upperbound of 95% confidence interval for beta0.06
Lowerbound of 95% confidence interval for alpha-0.15
Upperbound of 95% confidence interval for alpha0.16
Treynor index (mean / b)0.65
Jensen alpha (a)0.01
Mean0.00
SD0.17
Sharpe ratio (Glass type estimate)0.02
Sharpe ratio (Hedges UMVUE)0.02
df1223
t0.05
p0.50
Lowerbound of 95% confidence interval for Sharpe Ratio-0.88
Upperbound of 95% confidence interval for Sharpe Ratio0.93
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-0.88
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation0.93
Sortino ratio0.03
Upside Potential Ratio3.33
Upside part of mean0.41
Downside part of mean-0.40
Upside SD0.12
Downside SD0.12
N nonnegative terms1099
N negative terms125
N of observations1224
Mean of predictor0.42
Mean of criterion0.00
SD of predictor0.31
SD of criterion0.17
Covariance0.00
r0.05
b (slope, estimate of beta)0.03
a (intercept, estimate of alpha)-0.01
Mean Square Error0.03
DF error1222
t(b)1.79
p(b)0.47
t(a)-0.09
p(a)0.50
Lowerbound of 95% confidence interval for beta-0.00
Upperbound of 95% confidence interval for beta0.06
Lowerbound of 95% confidence interval for alpha-0.16
Upperbound of 95% confidence interval for alpha0.15
Treynor index (mean / b)0.15
Jensen alpha (a)-0.01
VaR(95%)0.02
Expected Shortfall on VaR0.02
VaR(95%)0.00
Expected Shortfall on VaR0.00
Mean0
SD0
Sharpe ratio (Glass type estimate)0
Sharpe ratio (Hedges UMVUE)0
df0
t0
p0
Lowerbound of 95% confidence interval for Sharpe Ratio0
Upperbound of 95% confidence interval for Sharpe Ratio0
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation0
Sortino ratio0
Upside Potential Ratio0
Upside part of mean0
Downside part of mean0
Upside SD0
Downside SD0
N nonnegative terms131
N negative terms0
N of observations131
Mean of predictor1.15
Mean of criterion0
SD of predictor0.35
SD of criterion0
Covariance0
r0
b (slope, estimate of beta)0
a (intercept, estimate of alpha)0
Mean Square Error0
DF error0
t(b)0
p(b)0
t(a)0
p(a)0
Lowerbound of 95% confidence interval for beta0
Upperbound of 95% confidence interval for beta0
Lowerbound of 95% confidence interval for alpha0
Upperbound of 95% confidence interval for alpha0
Treynor index (mean / b)0
Jensen alpha (a)0
Mean0
SD0
Sharpe ratio (Glass type estimate)0
Sharpe ratio (Hedges UMVUE)0
df0
t0
p0
Lowerbound of 95% confidence interval for Sharpe Ratio0
Upperbound of 95% confidence interval for Sharpe Ratio0
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation0
Sortino ratio0
Upside Potential Ratio0
Upside part of mean0
Downside part of mean0
Upside SD0
Downside SD0
N nonnegative terms131
N negative terms0
N of observations131
Mean of predictor1.09
Mean of criterion0
SD of predictor0.35
SD of criterion0
Covariance0
r0
b (slope, estimate of beta)0
a (intercept, estimate of alpha)0
Mean Square Error0
DF error0
t(b)0
p(b)0
t(a)0
p(a)0
Lowerbound of 95% confidence interval for beta0
VAR (95 Confidence Intrvl)0.02
Upperbound of 95% confidence interval for beta0
Lowerbound of 95% confidence interval for alpha0
Upperbound of 95% confidence interval for alpha0
Treynor index (mean / b)0
Jensen alpha (a)0
VaR(95%)0
Expected Shortfall on VaR0
VaR(95%)0
Expected Shortfall on VaR0

ORDER STATISTICS

Number of observations56
Minimum0.86
Quartile 11
Median1
Quartile 31
Maximum1.10
Mean of quarter 10.98
Mean of quarter 21
Mean of quarter 31
Mean of quarter 41.02
Inter Quartile Range0
Number outliers low6
Percentage of outliers low0.11
Mean of outliers low0.96
Number of outliers high8
Percentage of outliers high0.14
Mean of outliers high1.04
Extreme Value Index (moments method)0
VaR(95%) (moments method)0
Expected Shortfall (moments method)0
Extreme Value Index (regression method)1.32
VaR(95%) (regression method)0.02
Expected Shortfall (regression method)0
Number of observations1224
Minimum0.90
Quartile 11
Median1
Quartile 31
Maximum1.11
Mean of quarter 10.99
Mean of quarter 21
Mean of quarter 31
Mean of quarter 41.01
Inter Quartile Range0
Number outliers low125
Percentage of outliers low0.10
Mean of outliers low0.99
Number of outliers high144
Percentage of outliers high0.12
Mean of outliers high1.01
Extreme Value Index (moments method)0.37
VaR(95%) (moments method)0.00
Expected Shortfall (moments method)0.01
Extreme Value Index (regression method)0.26
VaR(95%) (regression method)0.01
Expected Shortfall (regression method)0.02
Number of observations131
Minimum1
Quartile 11
Median1
Quartile 31
Maximum1
Mean of quarter 11
Mean of quarter 21
Mean of quarter 31
Mean of quarter 41
Inter Quartile Range0
Number outliers low0
Percentage of outliers low0
Mean of outliers low0
Number of outliers high0
Percentage of outliers high0
Mean of outliers high0
Extreme Value Index (moments method)0
VaR(95%) (moments method)0
Expected Shortfall (moments method)0
Extreme Value Index (regression method)0
VaR(95%) (regression method)0
Expected Shortfall (regression method)0

DRAW DOWN STATISTICS

Number of observations2
Minimum0.11
Quartile 10.12
Median0.13
Quartile 30.14
Maximum0.15
Mean of quarter 10.11
Mean of quarter 20
Mean of quarter 30
Mean of quarter 40.15
Inter Quartile Range0.02
Number outliers low0
Percentage of outliers low0
Mean of outliers low0
Number of outliers high0
Percentage of outliers high0
Mean of outliers high0
Extreme Value Index (moments method)0
VaR(95%) (moments method)0
Expected Shortfall (moments method)0
Extreme Value Index (regression method)0
VaR(95%) (regression method)0
Expected Shortfall (regression method)0
Number of observations9
Minimum0.00
Quartile 10.02
Median0.04
Quartile 30.07
Maximum0.20
Mean of quarter 10.01
Mean of quarter 20.03
Mean of quarter 30.06
Mean of quarter 40.14
Inter Quartile Range0.06
Number outliers low0
Percentage of outliers low0
Mean of outliers low0
Number of outliers high1
Percentage of outliers high0.11
Mean of outliers high0.20
Extreme Value Index (moments method)0.33
VaR(95%) (moments method)0.15
Expected Shortfall (moments method)0.25
Extreme Value Index (regression method)2.95
VaR(95%) (regression method)0.39
Expected Shortfall (regression method)0
Number of observations0
Minimum0
Quartile 10
Median0
Quartile 30
Maximum0
Mean of quarter 10
Mean of quarter 20
Mean of quarter 30
Mean of quarter 40
Inter Quartile Range0
Number outliers low0
Percentage of outliers low0
Mean of outliers low0
Number of outliers high0
Percentage of outliers high0
Mean of outliers high0
Extreme Value Index (moments method)0
VaR(95%) (moments method)0
Expected Shortfall (moments method)0
Extreme Value Index (regression method)0
VaR(95%) (regression method)0
Expected Shortfall (regression method)0
Strat Max DD how much worse than SP500 max DD during strat life?-378880512
Max Equity Drawdown (num days)256
Last 4 Months - Pcnt Negative0.0%

COMBINED STATISTICS

Annualized return (arithmetic extrapolation)0.00
Compounded annual return (geometric extrapolation)0.00
Calmar ratio (compounded annual return / max draw down)0.03
Compounded annual return / average of 25% largest draw downs0.03
Compounded annual return / Expected Shortfall lognormal0.07
j156mfCOMBRisPar0
j157mfCOMBRisPar0
Annualized return (arithmetic extrapolation)0.00
Compounded annual return (geometric extrapolation)0.00
Calmar ratio (compounded annual return / max draw down)0.02
Compounded annual return / average of 25% largest draw downs0.03
Compounded annual return / Expected Shortfall lognormal0.19
j313dfCOMBRisPar0
j314dfCOMBRisPar0
Annualized return (arithmetic extrapolation)0
Compounded annual return (geometric extrapolation)0
Calmar ratio (compounded annual return / max draw down)0
Compounded annual return / average of 25% largest draw downs0
Compounded annual return / Expected Shortfall lognormal0

Trading record

Placed 48 trades in real-life brokerage accounts.

SymbolSideQtyOpenedClosedP/L
LULU short32Jun 29, 2011Jul 5, 2011($31)
ARIA short155Jun 30, 2011Jul 1, 2011$98
JVA short120Jun 23, 2011Jun 28, 2011($1)
ONTY short220Jun 21, 2011Jun 21, 2011$99
JVA short248Jun 17, 2011Jun 20, 2011$197
RAH long34Jun 7, 2011Jun 13, 2011($7)
ANF long40Jun 6, 2011Jun 9, 2011($231)
THOR long88Jun 6, 2011Jun 9, 2011($77)
DPS long72Jun 6, 2011Jun 9, 2011($45)
SO long73May 31, 2011Jun 3, 2011($43)
POM long146May 26, 2011Jun 2, 2011$17
MAKO short53May 27, 2011May 31, 2011$100
WR long107May 25, 2011May 31, 2011$13
RTI long80May 24, 2011May 27, 2011$140
AMRN short100May 23, 2011May 26, 2011($41)
AMT long55May 20, 2011May 25, 2011$88
WINN short210May 19, 2011May 24, 2011($82)
B long121May 18, 2011May 23, 2011($69)
MELI long34May 16, 2011May 19, 2011$106
ENTR long330May 16, 2011May 19, 2011($47)
ALKS short108May 13, 2011May 18, 2011($64)
GLBC short63May 12, 2011May 17, 2011$61
CLI long83May 10, 2011May 13, 2011($8)
KLIC short317May 6, 2011May 12, 2011($46)
BKS short128May 9, 2011May 12, 2011$46
REGN long62May 4, 2011May 9, 2011$6
TZOO long42May 4, 2011May 9, 2011($91)
MFN long210May 4, 2011May 6, 2011($414)
SPPI long350May 4, 2011May 4, 2011($420)
SFLY short31Apr 29, 2011May 2, 2011$107

Past results are not necessarily indicative of future results.

These results are based on simulated or hypothetical performance results that have certain inherent limitations. Unlike the results shown in an actual performance record, these results do not represent actual trading. Also, because these trades have not actually been executed, these results may have under-or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated or hypothetical trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to these being shown.