US Market Neutral
(91265459)
Subscription terms. Subscriptions to this system cost $149.00 per month.
C2Star
C2Star is a certification program for trading strategies. In order to become "C2Star Certified," a strategy must apply tight risk controls, and must exhibit excellent performance characteristics, including low drawdowns.
You can read more about C2Star certification requirements here.
Note that: all trading strategies are risky, and C2Star Certification does not imply that a strategy is low risk.
Rate of Return Calculations
Overview
To comply with NFA regulations, we display Cumulative Rate of Return for strategies with a track record of less than one year. For strategies with longer track records, we display Annualized (Compounded) Rate of Return.
How Annualized (Compounded) Rate of Return is calculated
= ((Ending_equity / Starting_equity) ^ (1 / age_in_years))  1
Remember that, following NFA requirements, strategy subscription costs and estimated commissions are included in markedtomarket equity calculations.
All results are hypothetical.
Jan  Feb  Mar  Apr  May  Jun  Jul  Aug  Sep  Oct  Nov  Dec  YTD  

2015    +0.5%  (0.3%)  +0.8%  +0.6%  +3.3%  (0.6%)  +0.4%  (2.5%)  (1%)  (0.1%)  +0.8%  
2016  (0.6%)  (2%)  (0.3%)  +0.7%  +2.4%  +1.1%  (1.3%)  (1.1%)  (0.7%)  (0.7%)  +0.9%  +0.9%  (0.8%) 
2017  +2.1%  +4.0%  +1.0%  +1.7%  +0.3%  +1.1%  +1.1%  (0.5%)  +1.7%  +2.6%  +3.7%  +2.3%  +23.1% 
2018  +3.8%  (2.9%)  (1.6%)  +0.8%  +1.6%  +1.6%  +3.4%  +2.2%  (0.7%)  (7.8%)  +2.9%  (6.9%)  (4.4%) 
2019  +7.7%  +5.3%  +2.3%  +2.1%  +0.2%    (2.9%)  +3.9%  +1.9%  +2.4%  +3.0%  +28.1%  
2020  +1.6%  (9.9%)  (23.7%)    (30.2%) 
Model Account Details
A trading strategy on Collective2. Follow it in your broker account, or use a free simulated trading account.
Advanced users may want to use this information to adjust their AutoTrade scaling, or merely to understand the magnitudes of the nearby chart.
Started  $40,000  
Buy Power  $22,943  
Cash  $1  
Equity  $1  
Cumulative $  $4,566  
Includes dividends and cashsettled expirations:  $6,734  Itemized 
Total System Equity  $44,566  
Margined  $1  
Open P/L  ($2,570)  
Data has been delayed by 48 hours for nonsubscribers 
System developer has asked us to delay this information by 48 hours.
Trading Record
Statistics

Strategy began2/27/2015

Suggested Minimum Cap$40,000

Strategy Age (days)1860.37

Age62 months ago

What it tradesStocks

# Trades250

# Profitable114

% Profitable45.60%

Avg trade duration71.0 days

Max peaktovalley drawdown32.41%

drawdown periodFeb 18, 2020  March 31, 2020

Annual Return (Compounded)1.5%

Avg win$130.19

Avg loss$125.07
 Model Account Values (Raw)

Cash$25,514

Margin Used$0

Buying Power$22,943
 Ratios

W:L ratio1.85:1

Sharpe Ratio0.03

Sortino Ratio0.03

Calmar Ratio0.132
 CORRELATION STATISTICS

Return of Strat Pcnt  Return of SP500 Pcnt (cumu)9.41%

Correlation to SP5000.66740

Return Percent SP500 (cumu) during strategy life24.93%
 Return Statistics

Ann Return (w trading costs)1.5%
 Slump

Current Slump as Pcnt Equity0.48%
 Instruments

Percent Trades Futuresn/a
 Slump

Current Slump, time of slump as pcnt of strategy life0.02%
 Return Statistics

Return Pcnt (Compound or Annual, agebased, NFA compliant)0.015%
 Instruments

Percent Trades Optionsn/a

Percent Trades Stocks1.00%

Percent Trades Forexn/a
 Return Statistics

Ann Return (Compnd, No Fees)2.0%
 Risk of Ruin (MonteCarlo)

Chance of 10% account loss13.33%

Chance of 20% account lossn/a

Chance of 30% account lossn/a

Chance of 40% account lossn/a

Chance of 70% account loss (Monte Carlo)n/a

Chance of 80% account loss (Monte Carlo)n/a

Chance of 60% account loss (Monte Carlo)n/a
 Automation

Percentage Signals Automatedn/a
 Risk of Ruin (MonteCarlo)

Chance of 90% account loss (Monte Carlo)n/a

Chance of 50% account lossn/a
 Popularity

Popularity (Today)0

Popularity (Last 6 weeks)0
 Trading Style

Any stock shorts? 0/11
 Popularity

Popularity (7 days, Percentile 1000 scale)0
 Management

No Subs Allowed Flag (1: no subs)0

Strat abandoned?0
 TradesOwnSystem Certification

Trades Own System?

TOS percentn/a
 Win / Loss

Avg Loss$123

Avg Win$133

Sum Trade PL (losers)$17,015.000
 Age

Num Months filled monthly returns table62
 Win / Loss

Sum Trade PL (winners)$14,844.000

# Winners112

Num Months Winners40
 Dividends

Dividends Received in Model Acct6479
 Win / Loss

# Losers138

% Winners44.8%
 Frequency

Avg Position Time (mins)100896.00

Avg Position Time (hrs)1681.60

Avg Trade Length70.1 days

Last Trade Ago1188
 Regression

Alpha0.00

Beta0.58

Treynor Index0.00
 Maximum Adverse Excursion (MAE)

MAE:Equity, average, all trades0.00

MAE:PL  Winning Trades  this strat Percentile of All Strats54.08

MAE:PL  worst single value for strategy

MAE:PL  Losing Trades  this strat Percentile of All Strats99.14

MAE:PL (avg, winning trades)

MAE:PL (avg, losing trades)

MAE:PL (avg, all trades)22.32

MAE:Equity, average, winning trades0.00

MAE:Equity, average, losing trades0.01

Avg(MAE) / Avg(PL)  All trades12.113

MAE:Equity, losing trades only, 95th Percentile Value for this strat

MAE:Equity, win trades only, 95th Percentile Value for this strat

MAE:Equity, 95th Percentile Value for this strat0.00

Avg(MAE) / Avg(PL)  Winning trades0.924

Avg(MAE) / Avg(PL)  Losing trades2.131

HoldandHope Ratio0.025
 Analysis based on MONTHLY values, full history
 RATIO STATISTICS
 Ratio statistics of excess return rates
 Statistics related to Sharpe ratio

Mean0.14696

SD0.16383

Sharpe ratio (Glass type estimate)0.89705

Sharpe ratio (Hedges UMVUE)0.87277

df28.00000

t1.39453

p0.08706

Lowerbound of 95% confidence interval for Sharpe Ratio0.39291

Upperbound of 95% confidence interval for Sharpe Ratio2.17165

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0.40856

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation2.15411
 Statistics related to Sortino ratio

Sortino ratio2.25585

Upside Potential Ratio3.49179

Upside part of mean0.22748

Downside part of mean0.08052

Upside SD0.15320

Downside SD0.06515

N nonnegative terms18.00000

N negative terms11.00000
 Statistics related to linear regression on benchmark

N of observations29.00000

Mean of predictor0.13741

Mean of criterion0.14696

SD of predictor0.19671

SD of criterion0.16383

Covariance0.02570

r0.79747

b (slope, estimate of beta)0.66416

a (intercept, estimate of alpha)0.05570

Mean Square Error0.01013

DF error27.00000

t(b)6.86784

p(b)0.00000

t(a)0.84263

p(a)0.20342

Lowerbound of 95% confidence interval for beta0.46573

Upperbound of 95% confidence interval for beta0.86258

Lowerbound of 95% confidence interval for alpha0.07993

Upperbound of 95% confidence interval for alpha0.19133

Treynor index (mean / b)0.22127

Jensen alpha (a)0.05570
 Ratio statistics of excess log return rates
 Statistics related to Sharpe ratio

Mean0.13379

SD0.15536

Sharpe ratio (Glass type estimate)0.86114

Sharpe ratio (Hedges UMVUE)0.83783

df28.00000

t1.33869

p0.09572

Lowerbound of 95% confidence interval for Sharpe Ratio0.42689

Upperbound of 95% confidence interval for Sharpe Ratio2.13435

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0.44191

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation2.11756
 Statistics related to Sortino ratio

Sortino ratio1.97460

Upside Potential Ratio3.19315

Upside part of mean0.21635

Downside part of mean0.08256

Upside SD0.14215

Downside SD0.06775

N nonnegative terms18.00000

N negative terms11.00000
 Statistics related to linear regression on benchmark

N of observations29.00000

Mean of predictor0.11851

Mean of criterion0.13379

SD of predictor0.19118

SD of criterion0.15536

Covariance0.02332

r0.78506

b (slope, estimate of beta)0.63799

a (intercept, estimate of alpha)0.05818

Mean Square Error0.00960

DF error27.00000

t(b)6.58570

p(b)0.00000

t(a)0.90790

p(a)0.18598

Lowerbound of 95% confidence interval for beta0.43922

Upperbound of 95% confidence interval for beta0.83676

Lowerbound of 95% confidence interval for alpha0.07330

Upperbound of 95% confidence interval for alpha0.18965

Treynor index (mean / b)0.20970

Jensen alpha (a)0.05818
 Risk estimates for a oneperiod unit investment (parametric)
 assuming log normal returns and losses (using central moments from Sharpe statistics)

VaR(95%)0.06070

Expected Shortfall on VaR0.07801
 assuming Pareto losses only (using partial moments from Sortino statistics)

VaR(95%)0.01239

Expected Shortfall on VaR0.02833
 ORDER STATISTICS
 Quartiles of return rates

Number of observations29.00000

Minimum0.91033

Quartile 10.99709

Median1.00437

Quartile 31.02329

Maximum1.19960

Mean of quarter 10.97899

Mean of quarter 21.00199

Mean of quarter 31.01131

Mean of quarter 41.07110

Inter Quartile Range0.02619

Number outliers low1.00000

Percentage of outliers low0.03448

Mean of outliers low0.91033

Number of outliers high2.00000

Percentage of outliers high0.06897

Mean of outliers high1.14955
 Risk estimates for a oneperiod unit investment (based on Ex

Extreme Value Index (moments method)0.87267

VaR(95%) (moments method)0.01807

Expected Shortfall (moments method)0.15725

Extreme Value Index (regression method)0.98478

VaR(95%) (regression method)0.03090

Expected Shortfall (regression method)2.27269
 DRAW DOWN STATISTICS
 Quartiles of draw downs

Number of observations2.00000

Minimum0.04088

Quartile 10.05308

Median0.06527

Quartile 30.07747

Maximum0.08967

Mean of quarter 10.04088

Mean of quarter 20.00000

Mean of quarter 30.00000

Mean of quarter 40.08967

Inter Quartile Range0.02440

Number outliers low0.00000

Percentage of outliers low0.00000

Mean of outliers low0.00000

Number of outliers high0.00000

Percentage of outliers high0.00000

Mean of outliers high0.00000
 Risk estimates based on draw downs (based on Extreme Value T

Extreme Value Index (moments method)0.00000

VaR(95%) (moments method)0.00000

Expected Shortfall (moments method)0.00000

Extreme Value Index (regression method)0.00000

VaR(95%) (regression method)0.00000

Expected Shortfall (regression method)0.00000
 COMBINED STATISTICS

Annualized return (arithmetic extrapolation)0.19784

Compounded annual return (geometric extrapolation)0.17550

Calmar ratio (compounded annual return / max draw down)1.95719

Compounded annual return / average of 25% largest draw downs1.95719

Compounded annual return / Expected Shortfall lognormal2.24965

0.00000

0.00000
 Analysis based on DAILY values, full history
 RATIO STATISTICS
 Ratio statistics of excess return rates
 Statistics related to Sharpe ratio

Mean0.03940

SD0.21686

Sharpe ratio (Glass type estimate)0.18168

Sharpe ratio (Hedges UMVUE)0.18147

df649.00000

t0.28616

p0.38743

Lowerbound of 95% confidence interval for Sharpe Ratio1.06276

Upperbound of 95% confidence interval for Sharpe Ratio1.42602

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation1.06292

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation1.42585
 Statistics related to Sortino ratio

Sortino ratio0.20271

Upside Potential Ratio3.38795

Upside part of mean0.65846

Downside part of mean0.61906

Upside SD0.09586

Downside SD0.19435

N nonnegative terms343.00000

N negative terms307.00000
 Statistics related to linear regression on benchmark

N of observations650.00000

Mean of predictor0.06365

Mean of criterion0.03940

SD of predictor0.22620

SD of criterion0.21686

Covariance0.03751

r0.76462

b (slope, estimate of beta)0.73305

a (intercept, estimate of alpha)0.00700

Mean Square Error0.01956

DF error648.00000

t(b)30.20140

p(b)0.00000

t(a)0.08173

p(a)0.53256

Lowerbound of 95% confidence interval for beta0.68539

Upperbound of 95% confidence interval for beta0.78071

Lowerbound of 95% confidence interval for alpha0.18166

Upperbound of 95% confidence interval for alpha0.16714

Treynor index (mean / b)0.05375

Jensen alpha (a)0.00726
 Ratio statistics of excess log return rates
 Statistics related to Sharpe ratio

Mean0.01334

SD0.23478

Sharpe ratio (Glass type estimate)0.05681

Sharpe ratio (Hedges UMVUE)0.05674

df649.00000

t0.08948

p0.46436

Lowerbound of 95% confidence interval for Sharpe Ratio1.18754

Upperbound of 95% confidence interval for Sharpe Ratio1.30116

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation1.18761

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation1.30110
 Statistics related to Sortino ratio

Sortino ratio0.06215

Upside Potential Ratio3.04668

Upside part of mean0.65386

Downside part of mean0.64053

Upside SD0.09474

Downside SD0.21462

N nonnegative terms343.00000

N negative terms307.00000
 Statistics related to linear regression on benchmark

N of observations650.00000

Mean of predictor0.03672

Mean of criterion0.01334

SD of predictor0.23542

SD of criterion0.23478

Covariance0.04323

r0.78220

b (slope, estimate of beta)0.78007

a (intercept, estimate of alpha)0.01531

Mean Square Error0.02143

DF error648.00000

t(b)31.95910

p(b)0.00000

t(a)0.16472

p(a)0.56539

Lowerbound of 95% confidence interval for beta0.73214

Upperbound of 95% confidence interval for beta0.82800

Lowerbound of 95% confidence interval for alpha0.19781

Upperbound of 95% confidence interval for alpha0.16720

Treynor index (mean / b)0.01710

Jensen alpha (a)0.01531
 Risk estimates for a oneperiod unit investment (parametric)
 assuming log normal returns and losses (using central moments from Sharpe statistics)

VaR(95%)0.02353

Expected Shortfall on VaR0.02941
 assuming Pareto losses only (using partial moments from Sortino statistics)

VaR(95%)0.00496

Expected Shortfall on VaR0.01190
 ORDER STATISTICS
 Quartiles of return rates

Number of observations650.00000

Minimum0.76081

Quartile 10.99827

Median1.00036

Quartile 31.00269

Maximum1.05064

Mean of quarter 10.99145

Mean of quarter 20.99935

Mean of quarter 31.00134

Mean of quarter 41.00889

Inter Quartile Range0.00442

Number outliers low27.00000

Percentage of outliers low0.04154

Mean of outliers low0.96644

Number of outliers high51.00000

Percentage of outliers high0.07846

Mean of outliers high1.01831
 Risk estimates for a oneperiod unit investment (based on Ex

Extreme Value Index (moments method)0.80861

VaR(95%) (moments method)0.00718

Expected Shortfall (moments method)0.03887

Extreme Value Index (regression method)0.79675

VaR(95%) (regression method)0.00506

Expected Shortfall (regression method)0.02309
 DRAW DOWN STATISTICS
 Quartiles of draw downs

Number of observations32.00000

Minimum0.00028

Quartile 10.00236

Median0.00491

Quartile 30.01213

Maximum0.31847

Mean of quarter 10.00099

Mean of quarter 20.00341

Mean of quarter 30.00914

Mean of quarter 40.08700

Inter Quartile Range0.00977

Number outliers low0.00000

Percentage of outliers low0.00000

Mean of outliers low0.00000

Number of outliers high4.00000

Percentage of outliers high0.12500

Mean of outliers high0.15408
 Risk estimates based on draw downs (based on Extreme Value T

Extreme Value Index (moments method)0.77665

VaR(95%) (moments method)0.06603

Expected Shortfall (moments method)0.34030

Extreme Value Index (regression method)0.97006

VaR(95%) (regression method)0.11346

Expected Shortfall (regression method)4.29859
 COMBINED STATISTICS

Annualized return (arithmetic extrapolation)0.04343

Compounded annual return (geometric extrapolation)0.04211

Calmar ratio (compounded annual return / max draw down)0.13222

Compounded annual return / average of 25% largest draw downs0.48397

Compounded annual return / Expected Shortfall lognormal1.43162

0.00000

0.00000
 Analysis based on DAILY values, last 6 months only
 RATIO STATISTICS
 Ratio statistics of excess return rates
 Statistics related to Sharpe ratio

Mean0.08686

SD0.47143

Sharpe ratio (Glass type estimate)0.18425

Sharpe ratio (Hedges UMVUE)0.18318

df130.00000

t0.13028

p0.49429

Lowerbound of 95% confidence interval for Sharpe Ratio2.58789

Upperbound of 95% confidence interval for Sharpe Ratio2.95590

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation2.58871

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation2.95508
 Statistics related to Sortino ratio

Sortino ratio0.20370

Upside Potential Ratio4.61616

Upside part of mean1.96838

Downside part of mean1.88152

Upside SD0.19686

Downside SD0.42641

N nonnegative terms77.00000

N negative terms54.00000
 Statistics related to linear regression on benchmark

N of observations131.00000

Mean of predictor0.14759

Mean of criterion0.08686

SD of predictor0.42077

SD of criterion0.47143

Covariance0.18408

r0.92799

b (slope, estimate of beta)1.03972

a (intercept, estimate of alpha)0.06659

Mean Square Error0.03110

DF error129.00000

t(b)28.28650

p(b)0.01147

t(a)0.26697

p(a)0.51496

Lowerbound of 95% confidence interval for beta0.96700

Upperbound of 95% confidence interval for beta1.11245

Lowerbound of 95% confidence interval for alpha0.56012

Upperbound of 95% confidence interval for alpha0.42693

Treynor index (mean / b)0.08354

Jensen alpha (a)0.06659
 Ratio statistics of excess log return rates
 Statistics related to Sharpe ratio

Mean0.03622

SD0.51250

Sharpe ratio (Glass type estimate)0.07068

Sharpe ratio (Hedges UMVUE)0.07027

df130.00000

t0.04998

p0.50219

Lowerbound of 95% confidence interval for Sharpe Ratio2.84238

Upperbound of 95% confidence interval for Sharpe Ratio2.70126

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation2.84209

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation2.70155
 Statistics related to Sortino ratio

Sortino ratio0.07673

Upside Potential Ratio4.12847

Upside part of mean1.94913

Downside part of mean1.98535

Upside SD0.19433

Downside SD0.47212

N nonnegative terms77.00000

N negative terms54.00000
 Statistics related to linear regression on benchmark

N of observations131.00000

Mean of predictor0.05296

Mean of criterion0.03622

SD of predictor0.44512

SD of criterion0.51250

Covariance0.21269

r0.93232

b (slope, estimate of beta)1.07346

a (intercept, estimate of alpha)0.09308

Mean Square Error0.03462

DF error129.00000

t(b)29.28120

p(b)0.01046

t(a)0.35373

p(a)0.51981

VAR (95 Confidence Intrvl)0.02400

Lowerbound of 95% confidence interval for beta1.00093

Upperbound of 95% confidence interval for beta1.14599

Lowerbound of 95% confidence interval for alpha0.61369

Upperbound of 95% confidence interval for alpha0.42754

Treynor index (mean / b)0.03375

Jensen alpha (a)0.09308
 Risk estimates for a oneperiod unit investment (parametric)
 assuming log normal returns and losses (using central moments from Sharpe statistics)

VaR(95%)0.05088

Expected Shortfall on VaR0.06329
 assuming Pareto losses only (using partial moments from Sortino statistics)

VaR(95%)0.01382

Expected Shortfall on VaR0.03276
 ORDER STATISTICS
 Quartiles of return rates

Number of observations131.00000

Minimum0.76081

Quartile 10.99644

Median1.00318

Quartile 31.01313

Maximum1.05064

Mean of quarter 10.97267

Mean of quarter 20.99981

Mean of quarter 31.00809

Mean of quarter 41.02141

Inter Quartile Range0.01669

Number outliers low8.00000

Percentage of outliers low0.06107

Mean of outliers low0.91865

Number of outliers high2.00000

Percentage of outliers high0.01527

Mean of outliers high1.04611
 Risk estimates for a oneperiod unit investment (based on Ex

Extreme Value Index (moments method)0.98063

VaR(95%) (moments method)0.02291

Expected Shortfall (moments method)1.25828

Extreme Value Index (regression method)0.83252

VaR(95%) (regression method)0.02067

Expected Shortfall (regression method)0.13523
 DRAW DOWN STATISTICS
 Quartiles of draw downs

Number of observations18.00000

Minimum0.00028

Quartile 10.00372

Median0.00891

Quartile 30.01689

Maximum0.31847

Mean of quarter 10.00140

Mean of quarter 20.00532

Mean of quarter 30.01127

Mean of quarter 40.11934

Inter Quartile Range0.01317

Number outliers low0.00000

Percentage of outliers low0.00000

Mean of outliers low0.00000

Number of outliers high3.00000

Percentage of outliers high0.16667

Mean of outliers high0.18406
 Risk estimates based on draw downs (based on Extreme Value T

Extreme Value Index (moments method)0.46799

VaR(95%) (moments method)0.08618

Expected Shortfall (moments method)0.20477

Extreme Value Index (regression method)0.90141

VaR(95%) (regression method)0.21059

Last 4 Months  Pcnt Negative0.50%

Expected Shortfall (regression method)2.47392

Strat Max DD how much worse than SP500 max DD during strat life?277898000

Max Equity Drawdown (num days)42
 COMBINED STATISTICS

Annualized return (arithmetic extrapolation)0.00830

Compounded annual return (geometric extrapolation)0.00828

Calmar ratio (compounded annual return / max draw down)0.02601

Compounded annual return / average of 25% largest draw downs0.06941

Compounded annual return / Expected Shortfall lognormal0.13088
Strategy Description
It designed to be closely to market neutral, targeting a portfolio beta to equity markets of zero over a normal business cycle. The system can be market neutral with range of 50% until 100%. We construct the portfolio based on our US security selection, employing the following indicators:
* Business Cycle and Momentum indicators, to identify investments with strong shortterm performance.
* Value indicators to identify investments that appear cheap based on fundamental measures, such as pricetoearnings and pricetobook ratios.
* Quality indicators to identify stable companies in good business health, including those with strong profitability and stable earnings.
Applying these and other proprietary indicators, we take long or short positions in industries, sectors and companies that we believe are conditionally attractive or unattractive. The result is a portfolio that seeks positive absolute returns with close to zero equity market beta.
Most values on this page (including the Strategy Equity Chart, above) have been adjusted by estimated trading commissions and subscription costs.
Some advanced users find it useful to see "raw" Model Account values. These numbers do not include any commissions, fees, subscription costs, or dividend actions.
Strategy developers can "archive" strategies at any time. This means the strategy Model Account is reset to its initial level and the trade list cleared. However, all archived track records are permanently preserved for evaluation by potential subscribers.
About the results you see on this Web site
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 underor overcompensated 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.
In addition, hypothetical trading does not involve financial risk, and no hypothetical trading record can completely account for the impact of financial risk in actual trading. For example, the ability to withstand losses or to adhere to a particular trading program in spite of trading losses are material points which can also adversely affect actual trading results. There are numerous other factors related to the markets in general or to the implementation of any specific trading program, which cannot be fully accounted for in the preparation of hypothetical performance results and all of which can adversely affect actual trading results.
Material assumptions and methods used when calculating results
The following are material assumptions used when calculating any hypothetical monthly results that appear on our web site.
 Profits are reinvested. We assume profits (when there are profits) are reinvested in the trading strategy.
 Starting investment size. For any trading strategy on our site, hypothetical results are based on the assumption that you invested the starting amount shown on the strategy's performance chart. In some cases, nominal dollar amounts on the equity chart have been rescaled downward to make current goforward trading sizes more manageable. In these cases, it may not have been possible to trade the strategy historically at the equity levels shown on the chart, and a higher minimum capital was required in the past.
 All fees are included. When calculating cumulative returns, we try to estimate and include all the fees a typical trader incurs when AutoTrading using AutoTrade technology. This includes the subscription cost of the strategy, plus any pertrade AutoTrade fees, plus estimated broker commissions if any.
 "Max Drawdown" Calculation Method. We calculate the Max Drawdown statistic as follows. Our computer software looks at the equity chart of the system in question and finds the largest percentage amount that the equity chart ever declines from a local "peak" to a subsequent point in time (thus this is formally called "Maximum Peak to Valley Drawdown.") While this is useful information when evaluating trading systems, you should keep in mind that past performance does not guarantee future results. Therefore, future drawdowns may be larger than the historical maximum drawdowns you see here.
Trading is risky
There is a substantial risk of loss in futures and forex trading. Online trading of stocks and options is extremely risky. Assume you will lose money. Don't trade with money you cannot afford to lose.
Not available
This feature isn't available under your current Trade Leader Plan.
Strategy is now visible
This strategy is now visible to the public. New subscribers will be able to follow it.
If you designate your strategy as Private, it will no longer be visible to the public.
No subscribers and simulations will be allowed. If you have subscribers, the strategy will still be visible to them.
If you have simulations, they will be stopped.
Continue to designate your strategy as Private?
Strategy is no longer visible
This strategy is no longer visible to anyone except current subscribers.
(Current subscribers will remain subscribed. You can see who is subscribed, and control their subscriptions, on your Subscriber Management screen.)
Finally, please note that you can restore public visibility at any time.
This strategy is no longer visible to the public. No subscribers will be allowed.
You can restore public visibility at any time.
Suggested Minimum Capital
This is our estimate of the minimum amount of capital to follow a strategy, assuming you use the smallest reasonable AutoTrade Scaling % for the strategy.