Stock Pairs Trader
(51314973)
Subscription terms. Subscriptions to this system cost $30.00 per month.
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  

2010  +3.3%  (0.1%)  +2.9%  (1.4%)  (0.8%)  (1.3%)  +2.6%  
2011  +1.9%  (0.3%)  +2.6%  +0.5%  (1.1%)    (1.7%)  (2.8%)  +2.3%  +2.9%  (4.2%)  (2.3%)  (2.5%) 
2012  +2.9%  +0.6%  (0.1%)  (0.6%)  (2%)  +1.6%  (0.1%)    +3.0%  (0.4%)  +0.3%    +5.3% 
2013  +1.2%  +1.6%  +3.3%  (2.5%)  +4.1%  (3.9%)  +3.1%  +0.3%  +2.5%  +0.8%  (0.2%)    +10.4% 
2014  (1.2%)  +1.8%  +2.6%  (3.7%)  (2.4%)  (5.2%)  (1.8%)  +1.6%  (1.5%)  +1.5%  +1.0%  +1.6%  (5.9%) 
2015  (1%)  +2.5%  +0.4%  (3.5%)  +15.9%  +1.1%  +3.0%  (2.5%)  (2.8%)  +5.6%  (0.5%)  (1.2%)  +16.7% 
2016  +2.5%  (0.1%)  +1.6%  +2.4%  (1.5%)  +2.4%  +2.6%  (3.3%)    (8.5%)  +2.3%  (7.3%)  (7.6%) 
2017  +2.9%  +2.3%  (2.1%)  +25.4%  (1.1%)  +1.9%  (0.7%)  (2.2%)  +1.2%  +0.7%  +0.1%  +3.7%  +33.9% 
2018  +0.5%  (4.3%)  (1.8%)  +0.3%  (0.4%)  (0.4%)  +1.3%  (4.9%) 
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  $100,000  
Buy Power  $51,130  
Cash  $149,943  
Equity  $39,140  
Cumulative $  $53,162  
Includes dividends and cashsettled expirations:  $8,547  Itemized 
Total System Equity  $153,162  
Margined  $137,953  
Open P/L  $39,140 
Trading Record
Statistics

Strategy began7/22/2010

Suggested Minimum Cap$100,000

Strategy Age (days)2916.39

Age97 months ago

What it tradesStocks

# Trades182

# Profitable101

% Profitable55.50%

Avg trade duration273.1 days

Max peaktovalley drawdown17.95%

drawdown periodJuly 30, 2016  Nov 15, 2016

Annual Return (Compounded)5.2%

Avg win$1,265

Avg loss$1,027
 Model Account Values (Raw)

Cash$149,943

Margin Used$137,953

Buying Power$51,130
 Ratios

W:L ratio3.24:1

Sharpe Ratio0.493

Sortino Ratio0.988

Calmar Ratio0.79
 CORRELATION STATISTICS

Correlation to SP5000.17500
 Return Statistics

Ann Return (w trading costs)5.2%

Ann Return (Compnd, No Fees)5.5%
 Risk of Ruin (MonteCarlo)

Chance of 10% account loss100.00%

Chance of 20% account loss46.67%

Chance of 30% account loss6.67%

Chance of 40% account lossn/a

Chance of 50% account lossn/a
 Popularity

Popularity (Today)0

Popularity (Last 6 weeks)0
 TradesOwnSystem Certification

Trades Own System?0

TOS percentn/a
 Subscription Price

Billing Period (days)30

Trial Days0
 Win / Loss

Avg Loss$1,026

Avg Win$1,263

# Winners101

# Losers81

% Winners55.5%
 Frequency

Avg Position Time (mins)613174.00

Avg Position Time (hrs)10219.60

Avg Trade Length425.8 days

Last Trade Ago901
 Analysis based on MONTHLY values, full history
 RATIO STATISTICS
 Ratio statistics of excess return rates
 Statistics related to Sharpe ratio

Mean0.10995

SD0.19298

Sharpe ratio (Glass type estimate)0.56975

Sharpe ratio (Hedges UMVUE)0.55811

df37.00000

t1.01388

p0.15861

Lowerbound of 95% confidence interval for Sharpe Ratio0.54300

Upperbound of 95% confidence interval for Sharpe Ratio1.67497

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0.55061

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation1.66683
 Statistics related to Sortino ratio

Sortino ratio1.36076

Upside Potential Ratio2.96431

Upside part of mean0.23952

Downside part of mean0.12957

Upside SD0.17533

Downside SD0.08080

N nonnegative terms23.00000

N negative terms15.00000
 Statistics related to linear regression on benchmark

N of observations38.00000

Mean of predictor0.26280

Mean of criterion0.10995

SD of predictor0.20619

SD of criterion0.19298

Covariance0.01317

r0.33101

b (slope, estimate of beta)0.30980

a (intercept, estimate of alpha)0.02854

Mean Square Error0.03408

DF error36.00000

t(b)2.10470

p(b)0.02118

t(a)0.25772

p(a)0.39904

Lowerbound of 95% confidence interval for beta0.01128

Upperbound of 95% confidence interval for beta0.60833

Lowerbound of 95% confidence interval for alpha0.19602

Upperbound of 95% confidence interval for alpha0.25309

Treynor index (mean / b)0.35491

Jensen alpha (a)0.02854
 Ratio statistics of excess log return rates
 Statistics related to Sharpe ratio

Mean0.09287

SD0.17964

Sharpe ratio (Glass type estimate)0.51696

Sharpe ratio (Hedges UMVUE)0.50639

df37.00000

t0.91993

p0.18178

Lowerbound of 95% confidence interval for Sharpe Ratio0.59409

Upperbound of 95% confidence interval for Sharpe Ratio1.62119

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0.60104

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation1.61382
 Statistics related to Sortino ratio

Sortino ratio1.11371

Upside Potential Ratio2.70473

Upside part of mean0.22554

Downside part of mean0.13267

Upside SD0.15871

Downside SD0.08339

N nonnegative terms23.00000

N negative terms15.00000
 Statistics related to linear regression on benchmark

N of observations38.00000

Mean of predictor0.23967

Mean of criterion0.09287

SD of predictor0.20120

SD of criterion0.17964

Covariance0.01266

r0.35025

b (slope, estimate of beta)0.31272

a (intercept, estimate of alpha)0.01792

Mean Square Error0.02910

DF error36.00000

t(b)2.24359

p(b)0.01555

t(a)0.17650

p(a)0.43045

Lowerbound of 95% confidence interval for beta0.03004

Upperbound of 95% confidence interval for beta0.59541

Lowerbound of 95% confidence interval for alpha0.18797

Upperbound of 95% confidence interval for alpha0.22380

Treynor index (mean / b)0.29697

Jensen alpha (a)0.01792
 Risk estimates for a oneperiod unit investment (parametric)
 assuming log normal returns and losses (using central moments from Sharpe statistics)

VaR(95%)0.07463

Expected Shortfall on VaR0.09430
 assuming Pareto losses only (using partial moments from Sortino statistics)

VaR(95%)0.02116

Expected Shortfall on VaR0.04405
 ORDER STATISTICS
 Quartiles of return rates

Number of observations38.00000

Minimum0.91546

Quartile 10.98994

Median1.00667

Quartile 31.02278

Maximum1.26697

Mean of quarter 10.96389

Mean of quarter 21.00025

Mean of quarter 31.01322

Mean of quarter 41.06765

Inter Quartile Range0.03284

Number outliers low2.00000

Percentage of outliers low0.05263

Mean of outliers low0.92289

Number of outliers high2.00000

Percentage of outliers high0.05263

Mean of outliers high1.19995
 Risk estimates for a oneperiod unit investment (based on Ex

Extreme Value Index (moments method)0.06782

VaR(95%) (moments method)0.03118

Expected Shortfall (moments method)0.04537

Extreme Value Index (regression method)0.02608

VaR(95%) (regression method)0.05145

Expected Shortfall (regression method)0.07699
 DRAW DOWN STATISTICS
 Quartiles of draw downs

Number of observations7.00000

Minimum0.00405

Quartile 10.00971

Median0.03073

Quartile 30.08206

Maximum0.10620

Mean of quarter 10.00467

Mean of quarter 20.02243

Mean of quarter 30.06534

Mean of quarter 40.10250

Inter Quartile Range0.07235

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)0.14712

Compounded annual return (geometric extrapolation)0.12837

Calmar ratio (compounded annual return / max draw down)1.20873

Compounded annual return / average of 25% largest draw downs1.25247

Compounded annual return / Expected Shortfall lognormal1.36131

0.00000

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

Mean0.12003

SD0.24329

Sharpe ratio (Glass type estimate)0.49335

Sharpe ratio (Hedges UMVUE)0.49291

df843.00000

t0.88547

p0.18808

Lowerbound of 95% confidence interval for Sharpe Ratio0.59903

Upperbound of 95% confidence interval for Sharpe Ratio1.58550

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0.59936

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation1.58517
 Statistics related to Sortino ratio

Sortino ratio0.98802

Upside Potential Ratio7.70062

Upside part of mean0.93549

Downside part of mean0.81546

Upside SD0.21075

Downside SD0.12148

N nonnegative terms398.00000

N negative terms446.00000
 Statistics related to linear regression on benchmark

N of observations844.00000

Mean of predictor0.28236

Mean of criterion0.12003

SD of predictor0.23898

SD of criterion0.24329

Covariance0.00725

r0.12476

b (slope, estimate of beta)0.12701

a (intercept, estimate of alpha)0.08400

Mean Square Error0.05834

DF error842.00000

t(b)3.64876

p(b)0.00014

t(a)0.62375

p(a)0.26648

Lowerbound of 95% confidence interval for beta0.05869

Upperbound of 95% confidence interval for beta0.19534

Lowerbound of 95% confidence interval for alpha0.18068

Upperbound of 95% confidence interval for alpha0.34900

Treynor index (mean / b)0.94501

Jensen alpha (a)0.08416
 Ratio statistics of excess log return rates
 Statistics related to Sharpe ratio

Mean0.09240

SD0.23136

Sharpe ratio (Glass type estimate)0.39935

Sharpe ratio (Hedges UMVUE)0.39900

df843.00000

t0.71677

p0.23686

Lowerbound of 95% confidence interval for Sharpe Ratio0.69294

Upperbound of 95% confidence interval for Sharpe Ratio1.49142

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0.69318

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation1.49118
 Statistics related to Sortino ratio

Sortino ratio0.74374

Upside Potential Ratio7.36826

Upside part of mean0.91537

Downside part of mean0.82298

Upside SD0.19510

Downside SD0.12423

N nonnegative terms398.00000

N negative terms446.00000
 Statistics related to linear regression on benchmark

N of observations844.00000

Mean of predictor0.25367

Mean of criterion0.09240

SD of predictor0.23906

SD of criterion0.23136

Covariance0.00732

r0.13232

b (slope, estimate of beta)0.12806

a (intercept, estimate of alpha)0.05991

Mean Square Error0.05265

DF error842.00000

t(b)3.87358

p(b)0.00006

t(a)0.46760

p(a)0.32010

Lowerbound of 95% confidence interval for beta0.06317

Upperbound of 95% confidence interval for beta0.19295

Lowerbound of 95% confidence interval for alpha0.19157

Upperbound of 95% confidence interval for alpha0.31139

Treynor index (mean / b)0.72151

Jensen alpha (a)0.05991
 Risk estimates for a oneperiod unit investment (parametric)
 assuming log normal returns and losses (using central moments from Sharpe statistics)

VaR(95%)0.02289

Expected Shortfall on VaR0.02870
 assuming Pareto losses only (using partial moments from Sortino statistics)

VaR(95%)0.00733

Expected Shortfall on VaR0.01525
 ORDER STATISTICS
 Quartiles of return rates

Number of observations844.00000

Minimum0.90597

Quartile 10.99617

Median0.99998

Quartile 31.00405

Maximum1.26476

Mean of quarter 10.98959

Mean of quarter 20.99818

Mean of quarter 31.00163

Mean of quarter 41.01286

Inter Quartile Range0.00788

Number outliers low26.00000

Percentage of outliers low0.03081

Mean of outliers low0.96873

Number of outliers high32.00000

Percentage of outliers high0.03791

Mean of outliers high1.03950
 Risk estimates for a oneperiod unit investment (based on Ex

Extreme Value Index (moments method)0.47616

VaR(95%) (moments method)0.01092

Expected Shortfall (moments method)0.02291

Extreme Value Index (regression method)0.35528

VaR(95%) (regression method)0.00932

Expected Shortfall (regression method)0.01622
 DRAW DOWN STATISTICS
 Quartiles of draw downs

Number of observations37.00000

Minimum0.00002

Quartile 10.00562

Median0.01839

Quartile 30.03467

Maximum0.16180

Mean of quarter 10.00252

Mean of quarter 20.01312

Mean of quarter 30.02714

Mean of quarter 40.07591

Inter Quartile Range0.02905

Number outliers low0.00000

Percentage of outliers low0.00000

Mean of outliers low0.00000

Number of outliers high3.00000

Percentage of outliers high0.08108

Mean of outliers high0.12383
 Risk estimates based on draw downs (based on Extreme Value T

Extreme Value Index (moments method)0.04698

VaR(95%) (moments method)0.07299

Expected Shortfall (moments method)0.09936

Extreme Value Index (regression method)0.25041

VaR(95%) (regression method)0.08889

Expected Shortfall (regression method)0.14213
 COMBINED STATISTICS

Annualized return (arithmetic extrapolation)0.14694

Compounded annual return (geometric extrapolation)0.12784

Calmar ratio (compounded annual return / max draw down)0.79010

Compounded annual return / average of 25% largest draw downs1.68414

Compounded annual return / Expected Shortfall lognormal4.45473

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

Mean0.23455

SD0.48835

Sharpe ratio (Glass type estimate)0.48029

Sharpe ratio (Hedges UMVUE)0.47751

df130.00000

t0.33962

p0.48511

Lowerbound of 95% confidence interval for Sharpe Ratio2.29298

Upperbound of 95% confidence interval for Sharpe Ratio3.25187

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation2.29490

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation3.24993
 Statistics related to Sortino ratio

Sortino ratio1.02445

Upside Potential Ratio7.62605

Upside part of mean1.74600

Downside part of mean1.51145

Upside SD0.42949

Downside SD0.22895

N nonnegative terms64.00000

N negative terms67.00000
 Statistics related to linear regression on benchmark

N of observations131.00000

Mean of predictor0.51466

Mean of criterion0.23455

SD of predictor0.20163

SD of criterion0.48835

Covariance0.01225

r0.12442

b (slope, estimate of beta)0.30135

a (intercept, estimate of alpha)0.07946

Mean Square Error0.23662

DF error129.00000

t(b)1.42422

p(b)0.42100

t(a)0.11409

p(a)0.49361

Lowerbound of 95% confidence interval for beta0.11728

Upperbound of 95% confidence interval for beta0.71998

Lowerbound of 95% confidence interval for alpha1.29855

Upperbound of 95% confidence interval for alpha1.45747

Treynor index (mean / b)0.77834

Jensen alpha (a)0.07946
 Ratio statistics of excess log return rates
 Statistics related to Sharpe ratio

Mean0.12630

SD0.45724

Sharpe ratio (Glass type estimate)0.27622

Sharpe ratio (Hedges UMVUE)0.27462

df130.00000

t0.19532

p0.49144

Lowerbound of 95% confidence interval for Sharpe Ratio2.49628

Upperbound of 95% confidence interval for Sharpe Ratio3.04775

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation2.49739

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation3.04663
 Statistics related to Sortino ratio

Sortino ratio0.53420

Upside Potential Ratio7.04217

Upside part of mean1.66494

Downside part of mean1.53864

Upside SD0.38940

Downside SD0.23642

N nonnegative terms64.00000

N negative terms67.00000
 Statistics related to linear regression on benchmark

N of observations131.00000

Mean of predictor0.49373

Mean of criterion0.12630

SD of predictor0.20335

SD of criterion0.45724

Covariance0.01273

r0.13690

b (slope, estimate of beta)0.30783

a (intercept, estimate of alpha)0.02569

Mean Square Error0.20674

DF error129.00000

t(b)1.56968

p(b)0.41312

t(a)0.03951

p(a)0.50221

Lowerbound of 95% confidence interval for beta0.08018

Upperbound of 95% confidence interval for beta0.69584

Lowerbound of 95% confidence interval for alpha1.31226

Upperbound of 95% confidence interval for alpha1.26088

Treynor index (mean / b)0.41028

Jensen alpha (a)0.02569
 Risk estimates for a oneperiod unit investment (parametric)
 assuming log normal returns and losses (using central moments from Sharpe statistics)

VaR(95%)0.04494

Expected Shortfall on VaR0.05610
 assuming Pareto losses only (using partial moments from Sortino statistics)

VaR(95%)0.01328

Expected Shortfall on VaR0.02791
 ORDER STATISTICS
 Quartiles of return rates

Number of observations131.00000

Minimum0.90597

Quartile 10.99366

Median0.99989

Quartile 31.00500

Maximum1.26476

Mean of quarter 10.98024

Mean of quarter 20.99708

Mean of quarter 31.00228

Mean of quarter 41.02445

Inter Quartile Range0.01134

Number outliers low9.00000

Percentage of outliers low0.06870

Mean of outliers low0.95543

Number of outliers high7.00000

Percentage of outliers high0.05344

Mean of outliers high1.07878
 Risk estimates for a oneperiod unit investment (based on Ex

Extreme Value Index (moments method)0.59690

VaR(95%) (moments method)0.02080

Expected Shortfall (moments method)0.05565

Extreme Value Index (regression method)0.62201

VaR(95%) (regression method)0.01568

Expected Shortfall (regression method)0.03983
 DRAW DOWN STATISTICS
 Quartiles of draw downs

Number of observations5.00000

Minimum0.00129

Quartile 10.00181

Median0.04655

Quartile 30.06786

Maximum0.16180

Mean of quarter 10.00155

Mean of quarter 20.04655

Mean of quarter 30.06786

Mean of quarter 40.16180

Inter Quartile Range0.06605

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)0.16031

Compounded annual return (geometric extrapolation)0.16673

Calmar ratio (compounded annual return / max draw down)1.03047

Compounded annual return / average of 25% largest draw downs1.03047

Compounded annual return / Expected Shortfall lognormal2.97220
Strategy Description
Our stock pairs trading signal consists of simple instructions of the kind:
Buy 1000 shares of EQR, while
SIMULTANEOUSLY selling short 575 shares of VTR
You need to implement this trading signal by buying and selling both legs of the matched stock pair. You may execute the paired trading signal within a few hours of the system issuing the signal. It is very important to implement the two stock trades together on the same day, so as to derive the full benefit of the arbitrage potential in the stock pairing.
We will also provide you the closing signal on the trade pair, usually within a few days. Again, you must get out of the two legs together when your receive our exit signal.
Since there is plenty of time to implement the two trades, you can go about your business or hobbies without being glued to the financial markets. All you need to be able to do short selling is to open a margin account with your discount stock brokerage.
Or, to keep things really simple, automatic trading can be done in your brokerage accounts if you choose Autotrade in C2's systems.
I have been using this system successfully for 3 years before launching it publicly on C2. As you can see from its performance since July 22, 2010 on C2, the system has a very low drawdown. Following the trade signals given here is as good as parking your money in cash, while getting far better annual returns than cash which yields 0% in 2010. This has been achieved by designing this system to be quantitatively uncorrelated to the broad stock market. Currently, the correlation shown is 0.01, which means this system behaves almost independently to what the broad market does. Whether the broad market zigs or zags, this system clocks in its profit diligently.
The profit growth will appear to be painfully slow, especially in comparison to those futures based systems that seem to attract the most attention as "Hot Systems" on C2, but be aware that those systems will easily give you sleepless nights with drawdowns of more than 15%. this system's drawdown being less than 5%. Our motto is: the slow and steady win the race. We would rather be steady even if we are slow in increasing the equity curve shown. We believe in showing substance, and letting the sizzlemasters delude the crowds by creating multiple systems or with marketing hype. We only have one system which works well.
The system's "capacity" is very high, since the system only sifts through the very liquid US stocks in the Russell 3000, and they offer a huge amount of liquidity. This system's capacity should not be impacted by more participants being drawn in.
You can get more details on my instaBlog at
http://seekingalpha.com/author/rajeevseth/instablog
and at my website on Quantitative Investments at:
http://www.beatindex.biz
Please feel free to email me at rseth@beatindex.biz if you have any questions or concerns before you subscribe to this system.
Summary Statistics
Latest Activity
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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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.