REITS
(133243671)
Subscription terms. Subscriptions to this system cost $49.00 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.
Nonhedged Equity
Predominantly long equities, although some hedging with short sales of stocks and/or stock index options. Commonly known as "stockpickers."Trendfollowing
Tries to take advantage of long, medium or shortterm moves that seem to play out in various markets. Typically, trendfollowing analysis is backward looking; that is, it attempts to recognize and profit from alreadyestablished trends.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 Cumulative Rate of Return is calculated
= (Ending_equity  Starting_equity) / Starting_equity
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  

2021  +3.2%  (1.1%)  +6.7%  +10.0%  +0.5%  +4.4%  +3.3%  +4.4%  (3.9%)  +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  $50,000  
Buy Power  $38,623  
Cash  $1  
Equity  $1  
Cumulative $  $15,864  
Includes dividends and cashsettled expirations:  $858  Itemized 
Total System Equity  $65,864  
Margined  $1  
Open P/L  $17,349  
Data has been delayed by 168 hours for nonsubscribers 
System developer has asked us to delay this information by 168 hours.
Trading Record
Statistics

Strategy began1/7/2021

Suggested Minimum Cap$15,000

Strategy Age (days)261.63

Age9 months ago

What it tradesStocks

# Trades14

# Profitable12

% Profitable85.70%

Avg trade duration226.0 days

Max peaktovalley drawdown24.65%

drawdown periodSept 04, 2021  Sept 21, 2021

Cumul. Return30.2%

Avg win$1,346

Avg loss$577.00
 Model Account Values (Raw)

Cash$22,463

Margin Used$0

Buying Power$38,623
 Ratios

W:L ratio15.49:1

Sharpe Ratio2.16

Sortino Ratio3.53

Calmar Ratio6.198
 CORRELATION STATISTICS

Return of Strat Pcnt  Return of SP500 Pcnt (cumu)13.09%

Correlation to SP5000.48640

Return Percent SP500 (cumu) during strategy life17.13%
 Return Statistics

Ann Return (w trading costs)43.9%
 Slump

Current Slump as Pcnt Equity6.30%
 Instruments

Percent Trades Futuresn/a
 Slump

Current Slump, time of slump as pcnt of strategy life0.08%
 Instruments

Short Options  Percent Covered100.00%
 Return Statistics

Return Pcnt (Compound or Annual, agebased, NFA compliant)0.302%
 Instruments

Percent Trades Optionsn/a

Percent Trades Stocks1.00%

Percent Trades Forexn/a
 Return Statistics

Ann Return (Compnd, No Fees)46.7%
 Risk of Ruin (MonteCarlo)

Chance of 10% account loss44.50%

Chance of 20% account loss7.50%

Chance of 30% account lossn/a

Chance of 40% account lossn/a

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

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

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

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

Percentage Signals Automatedn/a
 Risk of Ruin (MonteCarlo)

Chance of 50% account lossn/a
 Popularity

Popularity (Today)546

Popularity (Last 6 weeks)962
 Trading Style

Any stock shorts? 0/10
 Popularity

C2 Score838

Popularity (7 days, Percentile 1000 scale)773
 Management

No Subs Allowed Flag (1: no subs)0

Strat abandoned?0
 TradesOwnSystem Certification

Trades Own System?

TOS percentn/a
 Win / Loss

Avg Loss$577

Avg Win$1,346

Sum Trade PL (losers)$1,154.000
 AUM

AUM (AutoTrader num accounts)1
 Age

Num Months filled monthly returns table9
 Win / Loss

Sum Trade PL (winners)$16,158.000

# Winners12

Num Months Winners7
 Dividends

Dividends Received in Model Acct859
 AUM

AUM (AutoTrader live capital)19097
 Win / Loss

# Losers2

% Winners85.7%
 Frequency

Avg Position Time (mins)325463.00

Avg Position Time (hrs)5424.39

Avg Trade Length226.0 days

Last Trade Ago48
 Leverage

Daily leverage (average)1.16

Daily leverage (max)1.25
 Regression

Alpha0.07

Beta0.54

Treynor Index0.18
 Maximum Adverse Excursion (MAE)

MAE:Equity, average, all trades0.01

MAE:PL  worst single value for strategy

MAE:PL (avg, winning trades)

MAE:PL (avg, losing trades)

MAE:PL (avg, all trades)0.09

MAE:Equity, average, winning trades0.01

MAE:Equity, average, losing trades0.01

Avg(MAE) / Avg(PL)  All trades0.339

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 trades0.238

Avg(MAE) / Avg(PL)  Losing trades1.043

HoldandHope Ratio3.028
 Analysis based on MONTHLY values, full history
 RATIO STATISTICS
 Ratio statistics of excess return rates
 Statistics related to Sharpe ratio

Mean0.46182

SD0.12883

Sharpe ratio (Glass type estimate)3.58480

Sharpe ratio (Hedges UMVUE)3.18403

df7.00000

t2.92698

p0.01106

Lowerbound of 95% confidence interval for Sharpe Ratio0.48290

Upperbound of 95% confidence interval for Sharpe Ratio6.53275

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0.26103

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation6.10704
 Statistics related to Sortino ratio

Sortino ratio13.64640

Upside Potential Ratio14.87110

Upside part of mean0.50327

Downside part of mean0.04145

Upside SD0.17650

Downside SD0.03384

N nonnegative terms7.00000

N negative terms1.00000
 Statistics related to linear regression on benchmark

N of observations8.00000

Mean of predictor0.22652

Mean of criterion0.46182

SD of predictor0.06792

SD of criterion0.12883

Covariance0.00619

r0.70722

b (slope, estimate of beta)1.34136

a (intercept, estimate of alpha)0.15798

Mean Square Error0.00968

DF error6.00000

t(b)2.45028

p(b)0.02489

t(a)0.91373

p(a)0.19805

Lowerbound of 95% confidence interval for beta0.00183

Upperbound of 95% confidence interval for beta2.68090

Lowerbound of 95% confidence interval for alpha0.26509

Upperbound of 95% confidence interval for alpha0.58106

Treynor index (mean / b)0.34430

Jensen alpha (a)0.15798
 Ratio statistics of excess log return rates
 Statistics related to Sharpe ratio

Mean0.44536

SD0.12462

Sharpe ratio (Glass type estimate)3.57366

Sharpe ratio (Hedges UMVUE)3.17413

df7.00000

t2.91788

p0.01120

Lowerbound of 95% confidence interval for Sharpe Ratio0.47528

Upperbound of 95% confidence interval for Sharpe Ratio6.51813

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0.25408

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation6.09418
 Statistics related to Sortino ratio

Sortino ratio13.00790

Upside Potential Ratio14.23270

Upside part of mean0.48730

Downside part of mean0.04193

Upside SD0.17014

Downside SD0.03424

N nonnegative terms7.00000

N negative terms1.00000
 Statistics related to linear regression on benchmark

N of observations8.00000

Mean of predictor0.22197

Mean of criterion0.44536

SD of predictor0.06609

SD of criterion0.12462

Covariance0.00580

r0.70375

b (slope, estimate of beta)1.32711

a (intercept, estimate of alpha)0.15078

Mean Square Error0.00915

DF error6.00000

t(b)2.42643

p(b)0.02571

t(a)0.89383

p(a)0.20292

Lowerbound of 95% confidence interval for beta0.01122

Upperbound of 95% confidence interval for beta2.66545

Lowerbound of 95% confidence interval for alpha0.26200

Upperbound of 95% confidence interval for alpha0.56357

Treynor index (mean / b)0.33559

Jensen alpha (a)0.15078
 Risk estimates for a oneperiod unit investment (parametric)
 assuming log normal returns and losses (using central moments from Sharpe statistics)

VaR(95%)0.02182

Expected Shortfall on VaR0.03633
 assuming Pareto losses only (using partial moments from Sortino statistics)

VaR(95%)0.00222

Expected Shortfall on VaR0.00733
 ORDER STATISTICS
 Quartiles of return rates

Number of observations8.00000

Minimum0.97470

Quartile 11.02316

Median1.04924

Quartile 31.05851

Maximum1.09837

Mean of quarter 10.99259

Mean of quarter 21.03435

Mean of quarter 31.05781

Mean of quarter 41.07850

Inter Quartile Range0.03535

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 for a oneperiod unit investment (based on Ex

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
 DRAW DOWN STATISTICS
 Quartiles of draw downs

Number of observations1.00000

Minimum0.02530

Quartile 10.02530

Median0.02530

Quartile 30.02530

Maximum0.02530

Mean of quarter 10.00000

Mean of quarter 20.00000

Mean of quarter 30.00000

Mean of quarter 40.00000

Inter Quartile Range0.00000

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)0.55644

Compounded annual return (geometric extrapolation)0.60523

Calmar ratio (compounded annual return / max draw down)23.91870

Compounded annual return / average of 25% largest draw downs0.00000

Compounded annual return / Expected Shortfall lognormal16.65980

0.00000

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

Mean0.37346

SD0.13599

Sharpe ratio (Glass type estimate)2.74622

Sharpe ratio (Hedges UMVUE)2.73507

df185.00000

t2.31388

p0.39374

Lowerbound of 95% confidence interval for Sharpe Ratio0.39968

Upperbound of 95% confidence interval for Sharpe Ratio5.08548

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0.39226

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation5.07788
 Statistics related to Sortino ratio

Sortino ratio4.50131

Upside Potential Ratio12.09510

Upside part of mean1.00349

Downside part of mean0.63003

Upside SD0.10974

Downside SD0.08297

N nonnegative terms113.00000

N negative terms73.00000
 Statistics related to linear regression on benchmark

N of observations186.00000

Mean of predictor0.20277

Mean of criterion0.37346

SD of predictor0.12540

SD of criterion0.13599

Covariance0.00764

r0.44809

b (slope, estimate of beta)0.48594

a (intercept, estimate of alpha)0.27500

Mean Square Error0.01486

DF error184.00000

t(b)6.79889

p(b)0.27596

t(a)1.89076

p(a)0.43097

Lowerbound of 95% confidence interval for beta0.34493

Upperbound of 95% confidence interval for beta0.62696

Lowerbound of 95% confidence interval for alpha0.01195

Upperbound of 95% confidence interval for alpha0.56180

Treynor index (mean / b)0.76852

Jensen alpha (a)0.27493
 Ratio statistics of excess log return rates
 Statistics related to Sharpe ratio

Mean0.36401

SD0.13555

Sharpe ratio (Glass type estimate)2.68547

Sharpe ratio (Hedges UMVUE)2.67456

df185.00000

t2.26269

p0.39600

Lowerbound of 95% confidence interval for Sharpe Ratio0.33974

Upperbound of 95% confidence interval for Sharpe Ratio5.02408

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0.33248

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation5.01665
 Statistics related to Sortino ratio

Sortino ratio4.35603

Upside Potential Ratio11.93630

Upside part of mean0.99744

Downside part of mean0.63344

Upside SD0.10861

Downside SD0.08356

N nonnegative terms113.00000

N negative terms73.00000
 Statistics related to linear regression on benchmark

N of observations186.00000

Mean of predictor0.19484

Mean of criterion0.36401

SD of predictor0.12547

SD of criterion0.13555

Covariance0.00765

r0.44987

b (slope, estimate of beta)0.48601

a (intercept, estimate of alpha)0.26931

Mean Square Error0.01473

DF error184.00000

t(b)6.83277

p(b)0.27507

t(a)1.86077

p(a)0.43205

Lowerbound of 95% confidence interval for beta0.34568

Upperbound of 95% confidence interval for beta0.62635

Lowerbound of 95% confidence interval for alpha0.01623

Upperbound of 95% confidence interval for alpha0.55485

Treynor index (mean / b)0.74897

Jensen alpha (a)0.26931
 Risk estimates for a oneperiod unit investment (parametric)
 assuming log normal returns and losses (using central moments from Sharpe statistics)

VaR(95%)0.01231

Expected Shortfall on VaR0.01575
 assuming Pareto losses only (using partial moments from Sortino statistics)

VaR(95%)0.00470

Expected Shortfall on VaR0.00974
 ORDER STATISTICS
 Quartiles of return rates

Number of observations186.00000

Minimum0.97903

Quartile 10.99721

Median1.00199

Quartile 31.00567

Maximum1.04594

Mean of quarter 10.99144

Mean of quarter 20.99965

Mean of quarter 31.00368

Mean of quarter 41.01137

Inter Quartile Range0.00846

Number outliers low6.00000

Percentage of outliers low0.03226

Mean of outliers low0.98079

Number of outliers high4.00000

Percentage of outliers high0.02151

Mean of outliers high1.02675
 Risk estimates for a oneperiod unit investment (based on Ex

Extreme Value Index (moments method)0.08043

VaR(95%) (moments method)0.00742

Expected Shortfall (moments method)0.01076

Extreme Value Index (regression method)0.18297

VaR(95%) (regression method)0.00813

Expected Shortfall (regression method)0.01052
 DRAW DOWN STATISTICS
 Quartiles of draw downs

Number of observations17.00000

Minimum0.00104

Quartile 10.00386

Median0.01637

Quartile 30.01973

Maximum0.07742

Mean of quarter 10.00249

Mean of quarter 20.00982

Mean of quarter 30.01875

Mean of quarter 40.05274

Inter Quartile Range0.01587

Number outliers low0.00000

Percentage of outliers low0.00000

Mean of outliers low0.00000

Number of outliers high3.00000

Percentage of outliers high0.17647

Mean of outliers high0.06189
 Risk estimates based on draw downs (based on Extreme Value T

Extreme Value Index (moments method)0.82972

VaR(95%) (moments method)0.04806

Expected Shortfall (moments method)0.05297

Extreme Value Index (regression method)0.57105

VaR(95%) (regression method)0.06958

Expected Shortfall (regression method)0.08048
 COMBINED STATISTICS

Annualized return (arithmetic extrapolation)0.45186

Compounded annual return (geometric extrapolation)0.47981

Calmar ratio (compounded annual return / max draw down)6.19765

Compounded annual return / average of 25% largest draw downs9.09839

Compounded annual return / Expected Shortfall lognormal30.45670

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

Mean0.41296

SD0.13574

Sharpe ratio (Glass type estimate)3.04235

Sharpe ratio (Hedges UMVUE)3.02476

df130.00000

t2.15127

p0.40730

Lowerbound of 95% confidence interval for Sharpe Ratio0.24038

Upperbound of 95% confidence interval for Sharpe Ratio5.83300

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0.22868

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation5.82085
 Statistics related to Sortino ratio

Sortino ratio5.08432

Upside Potential Ratio11.96650

Upside part of mean0.97196

Downside part of mean0.55899

Upside SD0.11108

Downside SD0.08122

N nonnegative terms84.00000

N negative terms47.00000
 Statistics related to linear regression on benchmark

N of observations131.00000

Mean of predictor0.23954

Mean of criterion0.41296

SD of predictor0.10886

SD of criterion0.13574

Covariance0.00796

r0.53848

b (slope, estimate of beta)0.67144

a (intercept, estimate of alpha)0.25213

Mean Square Error0.01318

DF error129.00000

t(b)7.25802

p(b)0.17457

t(a)1.53841

p(a)0.41481

Lowerbound of 95% confidence interval for beta0.48840

Upperbound of 95% confidence interval for beta0.85447

Lowerbound of 95% confidence interval for alpha0.07213

Upperbound of 95% confidence interval for alpha0.57638

Treynor index (mean / b)0.61504

Jensen alpha (a)0.25213
 Ratio statistics of excess log return rates
 Statistics related to Sharpe ratio

Mean0.40352

SD0.13516

Sharpe ratio (Glass type estimate)2.98541

Sharpe ratio (Hedges UMVUE)2.96815

df130.00000

t2.11100

p0.40897

Lowerbound of 95% confidence interval for Sharpe Ratio0.18435

Upperbound of 95% confidence interval for Sharpe Ratio5.77527

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0.17297

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation5.76334
 Statistics related to Sortino ratio

Sortino ratio4.92895

Upside Potential Ratio11.79700

Upside part of mean0.96578

Downside part of mean0.56227

Upside SD0.10977

Downside SD0.08187

N nonnegative terms84.00000

N negative terms47.00000
 Statistics related to linear regression on benchmark

N of observations131.00000

Mean of predictor0.23353

Mean of criterion0.40352

SD of predictor0.10884

SD of criterion0.13516

Covariance0.00795

r0.54041

b (slope, estimate of beta)0.67108

a (intercept, estimate of alpha)0.24679

Mean Square Error0.01303

DF error129.00000

t(b)7.29474

p(b)0.17353

t(a)1.51521

p(a)0.41606

VAR (95 Confidence Intrvl)0.01200

Lowerbound of 95% confidence interval for beta0.48907

Upperbound of 95% confidence interval for beta0.85310

Lowerbound of 95% confidence interval for alpha0.07546

Upperbound of 95% confidence interval for alpha0.56905

Treynor index (mean / b)0.60129

Jensen alpha (a)0.24679
 Risk estimates for a oneperiod unit investment (parametric)
 assuming log normal returns and losses (using central moments from Sharpe statistics)

VaR(95%)0.01212

Expected Shortfall on VaR0.01556
 assuming Pareto losses only (using partial moments from Sortino statistics)

VaR(95%)0.00386

Expected Shortfall on VaR0.00846
 ORDER STATISTICS
 Quartiles of return rates

Number of observations131.00000

Minimum0.97903

Quartile 10.99831

Median1.00203

Quartile 31.00490

Maximum1.04594

Mean of quarter 10.99212

Mean of quarter 21.00024

Mean of quarter 31.00333

Mean of quarter 41.01109

Inter Quartile Range0.00658

Number outliers low8.00000

Percentage of outliers low0.06107

Mean of outliers low0.98278

Number of outliers high5.00000

Percentage of outliers high0.03817

Mean of outliers high1.02393
 Risk estimates for a oneperiod unit investment (based on Ex

Extreme Value Index (moments method)0.28061

VaR(95%) (moments method)0.00643

Expected Shortfall (moments method)0.01134

Extreme Value Index (regression method)0.15625

VaR(95%) (regression method)0.00782

Expected Shortfall (regression method)0.01061
 DRAW DOWN STATISTICS
 Quartiles of draw downs

Number of observations12.00000

Minimum0.00104

Quartile 10.00363

Median0.00875

Quartile 30.02111

Maximum0.06378

Mean of quarter 10.00219

Mean of quarter 20.00554

Mean of quarter 30.01598

Mean of quarter 40.04451

Inter Quartile Range0.01748

Number outliers low0.00000

Percentage of outliers low0.00000

Mean of outliers low0.00000

Number of outliers high1.00000

Percentage of outliers high0.08333

Mean of outliers high0.06378
 Risk estimates based on draw downs (based on Extreme Value T

Extreme Value Index (moments method)7.33784

VaR(95%) (moments method)0.04667

Expected Shortfall (moments method)0.04667

Extreme Value Index (regression method)0.99564

VaR(95%) (regression method)0.07048

Last 4 Months  Pcnt Negative0.25%

Expected Shortfall (regression method)0.07678

Strat Max DD how much worse than SP500 max DD during strat life?307234000

Max Equity Drawdown (num days)17
 COMBINED STATISTICS

Annualized return (arithmetic extrapolation)0.48149

Compounded annual return (geometric extrapolation)0.53945

Calmar ratio (compounded annual return / max draw down)8.45836

Compounded annual return / average of 25% largest draw downs12.12020

Compounded annual return / Expected Shortfall lognormal34.67500
Strategy Description
The strategy is defensive and hedging through the purchase of VXX is also used when implementing the investment algorithm. The purchase of protection is carried out through the application of macroeconomic analysis and quantitative data. On average, protection is purchased once every 2 years.
If you are considering investing in REITs as an asset for investment, then this strategy may be of interest to you. The expected CAGR based on historical data is 12% per annum. It is algorithmic trading and all trades decisions based on set of the rules. All investments are risky by its nature and investing in REITs also is a subject of risk and historical return may not will be repeated in future.
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.
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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.