Saivers US ETF
(126444124)
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.
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.Momentum
Aims to capitalize on the continuance of existing trends in the market. Trader takes a long position in an asset in an upward trend, and shortsells a security that has been in a downward trend. While similar to Trendfollowing, tends to be more forwardlooking (predicting oncoming trend), while Momentum is more backwardlooking (observing alreadyestablished price direction).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  

2019  +3.3%  +3.3%  
2020  +2.2%  (12.9%)  +7.2%  +17.0%  +10.8%  +2.1%  +2.2%  +3.1%  (1.6%)  (1.9%)  +9.2%  +5.3%  +47.9% 
2021  (3.6%)  +14.7%  +6.3%  +7.8%  +5.5%  +2.2%  +0.1%  +0.6%  (1%)  +36.3% 
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  $52,934  
Cash  $1  
Equity  $1  
Cumulative $  $56,603  
Includes dividends and cashsettled expirations:  $2,255  Itemized 
Total System Equity  $106,603  
Margined  $1  
Open P/L  ($1,469)  
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 began12/2/2019

Suggested Minimum Cap$15,000

Strategy Age (days)663.53

Age22 months ago

What it tradesStocks

# Trades266

# Profitable191

% Profitable71.80%

Avg trade duration23.3 days

Max peaktovalley drawdown24.61%

drawdown periodFeb 20, 2020  March 07, 2020

Annual Return (Compounded)49.4%

Avg win$463.52

Avg loss$455.80
 Model Account Values (Raw)

Cash$54,103

Margin Used$0

Buying Power$52,934
 Ratios

W:L ratio2.72:1

Sharpe Ratio1.53

Sortino Ratio2.52

Calmar Ratio2.71
 CORRELATION STATISTICS

Return of Strat Pcnt  Return of SP500 Pcnt (cumu)65.18%

Correlation to SP5000.03180

Return Percent SP500 (cumu) during strategy life43.08%
 Return Statistics

Ann Return (w trading costs)49.4%
 Slump

Current Slump as Pcnt Equity1.70%
 Instruments

Percent Trades Futuresn/a
 Slump

Current Slump, time of slump as pcnt of strategy life0.04%
 Instruments

Short Options  Percent Covered100.00%
 Return Statistics

Return Pcnt (Compound or Annual, agebased, NFA compliant)0.494%
 Instruments

Percent Trades Optionsn/a

Percent Trades Stocks1.00%

Percent Trades Forexn/a
 Return Statistics

Ann Return (Compnd, No Fees)51.6%
 Risk of Ruin (MonteCarlo)

Chance of 10% account loss32.50%

Chance of 20% account loss14.50%

Chance of 30% account loss4.00%

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)684

Popularity (Last 6 weeks)944
 Trading Style

Any stock shorts? 0/11
 Popularity

C2 Score848

Popularity (7 days, Percentile 1000 scale)880
 Management

No Subs Allowed Flag (1: no subs)0

Strat abandoned?0
 TradesOwnSystem Certification

Trades Own System?

TOS percentn/a
 Win / Loss

Avg Loss$456

Avg Win$464

Sum Trade PL (losers)$34,185.000
 AUM

AUM (AutoTrader num accounts)9
 Age

Num Months filled monthly returns table22
 Win / Loss

Sum Trade PL (winners)$88,533.000

# Winners191

Num Months Winners17
 Dividends

Dividends Received in Model Acct2256
 AUM

AUM (AutoTrader live capital)730505
 Win / Loss

# Losers75

% Winners71.8%
 Frequency

Avg Position Time (mins)33578.70

Avg Position Time (hrs)559.64

Avg Trade Length23.3 days

Last Trade Ago29
 Leverage

Daily leverage (average)1.14

Daily leverage (max)3.03
 Regression

Alpha0.11

Beta0.03

Treynor Index4.26
 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)0.02

MAE:Equity, average, winning trades0.00

MAE:Equity, average, losing trades0.01

Avg(MAE) / Avg(PL)  All trades1.964

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 strat0.01

Avg(MAE) / Avg(PL)  Winning trades0.526

Avg(MAE) / Avg(PL)  Losing trades1.666

HoldandHope Ratio0.516
 Analysis based on MONTHLY values, full history
 RATIO STATISTICS
 Ratio statistics of excess return rates
 Statistics related to Sharpe ratio

Mean0.47460

SD0.25666

Sharpe ratio (Glass type estimate)1.84912

Sharpe ratio (Hedges UMVUE)1.77875

df20.00000

t2.44616

p0.26006

Lowerbound of 95% confidence interval for Sharpe Ratio0.24183

Upperbound of 95% confidence interval for Sharpe Ratio3.41630

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0.19794

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation3.35957
 Statistics related to Sortino ratio

Sortino ratio3.50396

Upside Potential Ratio4.37875

Upside part of mean0.59309

Downside part of mean0.11849

Upside SD0.25132

Downside SD0.13545

N nonnegative terms17.00000

N negative terms4.00000
 Statistics related to linear regression on benchmark

N of observations21.00000

Mean of predictor0.23734

Mean of criterion0.47460

SD of predictor0.21662

SD of criterion0.25666

Covariance0.02122

r0.38167

b (slope, estimate of beta)0.45221

a (intercept, estimate of alpha)0.36727

Mean Square Error0.05924

DF error19.00000

t(b)1.79991

p(b)0.26306

t(a)1.89891

p(a)0.25267

Lowerbound of 95% confidence interval for beta0.07364

Upperbound of 95% confidence interval for beta0.97807

Lowerbound of 95% confidence interval for alpha0.03754

Upperbound of 95% confidence interval for alpha0.77209

Treynor index (mean / b)1.04951

Jensen alpha (a)0.36727
 Ratio statistics of excess log return rates
 Statistics related to Sharpe ratio

Mean0.43515

SD0.25539

Sharpe ratio (Glass type estimate)1.70385

Sharpe ratio (Hedges UMVUE)1.63900

df20.00000

t2.25398

p0.27496

Lowerbound of 95% confidence interval for Sharpe Ratio0.11327

Upperbound of 95% confidence interval for Sharpe Ratio3.25675

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0.07277

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation3.20524
 Statistics related to Sortino ratio

Sortino ratio2.91971

Upside Potential Ratio3.78462

Upside part of mean0.56406

Downside part of mean0.12891

Upside SD0.23598

Downside SD0.14904

N nonnegative terms17.00000

N negative terms4.00000
 Statistics related to linear regression on benchmark

N of observations21.00000

Mean of predictor0.21219

Mean of criterion0.43515

SD of predictor0.22261

SD of criterion0.25539

Covariance0.01989

r0.34990

b (slope, estimate of beta)0.40143

a (intercept, estimate of alpha)0.34997

Mean Square Error0.06025

DF error19.00000

t(b)1.62811

p(b)0.28188

t(a)1.81531

p(a)0.26142

Lowerbound of 95% confidence interval for beta0.11463

Upperbound of 95% confidence interval for beta0.91749

Lowerbound of 95% confidence interval for alpha0.05354

Upperbound of 95% confidence interval for alpha0.75348

Treynor index (mean / b)1.08400

Jensen alpha (a)0.34997
 Risk estimates for a oneperiod unit investment (parametric)
 assuming log normal returns and losses (using central moments from Sharpe statistics)

VaR(95%)0.08149

Expected Shortfall on VaR0.10903
 assuming Pareto losses only (using partial moments from Sortino statistics)

VaR(95%)0.00979

Expected Shortfall on VaR0.02820
 ORDER STATISTICS
 Quartiles of return rates

Number of observations21.00000

Minimum0.82180

Quartile 11.00431

Median1.02910

Quartile 31.06527

Maximum1.18422

Mean of quarter 10.96686

Mean of quarter 21.02095

Mean of quarter 31.05157

Mean of quarter 41.13335

Inter Quartile Range0.06096

Number outliers low1.00000

Percentage of outliers low0.04762

Mean of outliers low0.82180

Number of outliers high1.00000

Percentage of outliers high0.04762

Mean of outliers high1.18422
 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)1.24197

VaR(95%) (regression method)0.04775

Expected Shortfall (regression method)0.00000
 DRAW DOWN STATISTICS
 Quartiles of draw downs

Number of observations4.00000

Minimum0.00380

Quartile 10.00844

Median0.01268

Quartile 30.05608

Maximum0.17820

Mean of quarter 10.00380

Mean of quarter 20.00999

Mean of quarter 30.01537

Mean of quarter 40.17820

Inter Quartile Range0.04764

Number outliers low0.00000

Percentage of outliers low0.00000

Mean of outliers low0.00000

Number of outliers high1.00000

Percentage of outliers high0.25000

Mean of outliers high0.17820
 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)0.65229

Compounded annual return (geometric extrapolation)0.54519

Calmar ratio (compounded annual return / max draw down)3.05946

Compounded annual return / average of 25% largest draw downs3.05946

Compounded annual return / Expected Shortfall lognormal5.00052

0.00000

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

Mean0.44156

SD0.19925

Sharpe ratio (Glass type estimate)2.21612

Sharpe ratio (Hedges UMVUE)2.21258

df469.00000

t2.96820

p0.00157

Lowerbound of 95% confidence interval for Sharpe Ratio0.74476

Upperbound of 95% confidence interval for Sharpe Ratio3.68519

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0.74239

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation3.68277
 Statistics related to Sortino ratio

Sortino ratio3.67976

Upside Potential Ratio10.09480

Upside part of mean1.21133

Downside part of mean0.76977

Upside SD0.16112

Downside SD0.12000

N nonnegative terms282.00000

N negative terms188.00000
 Statistics related to linear regression on benchmark

N of observations470.00000

Mean of predictor0.23650

Mean of criterion0.44156

SD of predictor0.27004

SD of criterion0.19925

Covariance0.00640

r0.11904

b (slope, estimate of beta)0.08783

a (intercept, estimate of alpha)0.42100

Mean Square Error0.03922

DF error468.00000

t(b)2.59356

p(b)0.00490

t(a)2.84162

p(a)0.00234

Lowerbound of 95% confidence interval for beta0.02128

Upperbound of 95% confidence interval for beta0.15437

Lowerbound of 95% confidence interval for alpha0.12980

Upperbound of 95% confidence interval for alpha0.71177

Treynor index (mean / b)5.02749

Jensen alpha (a)0.42078
 Ratio statistics of excess log return rates
 Statistics related to Sharpe ratio

Mean0.42159

SD0.19782

Sharpe ratio (Glass type estimate)2.13120

Sharpe ratio (Hedges UMVUE)2.12778

df469.00000

t2.85444

p0.00225

Lowerbound of 95% confidence interval for Sharpe Ratio0.66042

Upperbound of 95% confidence interval for Sharpe Ratio3.59981

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0.65811

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation3.59746
 Statistics related to Sortino ratio

Sortino ratio3.45859

Upside Potential Ratio9.83385

Upside part of mean1.19872

Downside part of mean0.77712

Upside SD0.15770

Downside SD0.12190

N nonnegative terms282.00000

N negative terms188.00000
 Statistics related to linear regression on benchmark

N of observations470.00000

Mean of predictor0.19972

Mean of criterion0.42159

SD of predictor0.27189

SD of criterion0.19782

Covariance0.00638

r0.11868

b (slope, estimate of beta)0.08635

a (intercept, estimate of alpha)0.40435

Mean Square Error0.03866

DF error468.00000

t(b)2.58568

p(b)0.00501

t(a)2.75139

p(a)0.00308

Lowerbound of 95% confidence interval for beta0.02073

Upperbound of 95% confidence interval for beta0.15197

Lowerbound of 95% confidence interval for alpha0.11556

Upperbound of 95% confidence interval for alpha0.69313

Treynor index (mean / b)4.88258

Jensen alpha (a)0.40435
 Risk estimates for a oneperiod unit investment (parametric)
 assuming log normal returns and losses (using central moments from Sharpe statistics)

VaR(95%)0.01832

Expected Shortfall on VaR0.02331
 assuming Pareto losses only (using partial moments from Sortino statistics)

VaR(95%)0.00570

Expected Shortfall on VaR0.01255
 ORDER STATISTICS
 Quartiles of return rates

Number of observations470.00000

Minimum0.94401

Quartile 10.99705

Median1.00134

Quartile 31.00606

Maximum1.09937

Mean of quarter 10.98908

Mean of quarter 20.99942

Mean of quarter 31.00348

Mean of quarter 41.01475

Inter Quartile Range0.00901

Number outliers low20.00000

Percentage of outliers low0.04255

Mean of outliers low0.97087

Number of outliers high20.00000

Percentage of outliers high0.04255

Mean of outliers high1.03654
 Risk estimates for a oneperiod unit investment (based on Ex

Extreme Value Index (moments method)0.46677

VaR(95%) (moments method)0.01025

Expected Shortfall (moments method)0.02235

Extreme Value Index (regression method)0.32371

VaR(95%) (regression method)0.00990

Expected Shortfall (regression method)0.01806
 DRAW DOWN STATISTICS
 Quartiles of draw downs

Number of observations46.00000

Minimum0.00009

Quartile 10.00216

Median0.00582

Quartile 30.02134

Maximum0.19353

Mean of quarter 10.00109

Mean of quarter 20.00410

Mean of quarter 30.01201

Mean of quarter 40.06075

Inter Quartile Range0.01918

Number outliers low0.00000

Percentage of outliers low0.00000

Mean of outliers low0.00000

Number of outliers high5.00000

Percentage of outliers high0.10870

Mean of outliers high0.10281
 Risk estimates based on draw downs (based on Extreme Value T

Extreme Value Index (moments method)0.42442

VaR(95%) (moments method)0.06368

Expected Shortfall (moments method)0.12718

Extreme Value Index (regression method)0.64148

VaR(95%) (regression method)0.07662

Expected Shortfall (regression method)0.22759
 COMBINED STATISTICS

Annualized return (arithmetic extrapolation)0.63011

Compounded annual return (geometric extrapolation)0.52439

Calmar ratio (compounded annual return / max draw down)2.70958

Compounded annual return / average of 25% largest draw downs8.63204

Compounded annual return / Expected Shortfall lognormal22.49270

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

Mean0.36666

SD0.14536

Sharpe ratio (Glass type estimate)2.52251

Sharpe ratio (Hedges UMVUE)2.50793

df130.00000

t1.78368

p0.42272

Lowerbound of 95% confidence interval for Sharpe Ratio0.27094

Upperbound of 95% confidence interval for Sharpe Ratio5.30649

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0.28059

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation5.29645
 Statistics related to Sortino ratio

Sortino ratio3.78505

Upside Potential Ratio10.08780

Upside part of mean0.97721

Downside part of mean0.61055

Upside SD0.10998

Downside SD0.09687

N nonnegative terms78.00000

N negative terms53.00000
 Statistics related to linear regression on benchmark

N of observations131.00000

Mean of predictor0.26745

Mean of criterion0.36666

SD of predictor0.10886

SD of criterion0.14536

Covariance0.00956

r0.60407

b (slope, estimate of beta)0.80658

a (intercept, estimate of alpha)0.15094

Mean Square Error0.01352

DF error129.00000

t(b)8.60910

p(b)0.14031

t(a)0.90733

p(a)0.44936

Lowerbound of 95% confidence interval for beta0.62122

Upperbound of 95% confidence interval for beta0.99195

Lowerbound of 95% confidence interval for alpha0.17819

Upperbound of 95% confidence interval for alpha0.48007

Treynor index (mean / b)0.45458

Jensen alpha (a)0.15094
 Ratio statistics of excess log return rates
 Statistics related to Sharpe ratio

Mean0.35591

SD0.14550

Sharpe ratio (Glass type estimate)2.44619

Sharpe ratio (Hedges UMVUE)2.43205

df130.00000

t1.72972

p0.42501

Lowerbound of 95% confidence interval for Sharpe Ratio0.34613

Upperbound of 95% confidence interval for Sharpe Ratio5.22929

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0.35548

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation5.21958
 Statistics related to Sortino ratio

Sortino ratio3.62629

Upside Potential Ratio9.89562

Upside part of mean0.97124

Downside part of mean0.61533

Upside SD0.10890

Downside SD0.09815

N nonnegative terms78.00000

N negative terms53.00000
 Statistics related to linear regression on benchmark

N of observations131.00000

Mean of predictor0.26144

Mean of criterion0.35591

SD of predictor0.10884

SD of criterion0.14550

Covariance0.00956

r0.60374

b (slope, estimate of beta)0.80706

a (intercept, estimate of alpha)0.14492

Mean Square Error0.01356

DF error129.00000

t(b)8.60180

p(b)0.14048

t(a)0.87045

p(a)0.45140

VAR (95 Confidence Intrvl)0.01800

Lowerbound of 95% confidence interval for beta0.62143

Upperbound of 95% confidence interval for beta0.99270

Lowerbound of 95% confidence interval for alpha0.18448

Upperbound of 95% confidence interval for alpha0.47431

Treynor index (mean / b)0.44100

Jensen alpha (a)0.14492
 Risk estimates for a oneperiod unit investment (parametric)
 assuming log normal returns and losses (using central moments from Sharpe statistics)

VaR(95%)0.01334

Expected Shortfall on VaR0.01703
 assuming Pareto losses only (using partial moments from Sortino statistics)

VaR(95%)0.00455

Expected Shortfall on VaR0.01005
 ORDER STATISTICS
 Quartiles of return rates

Number of observations131.00000

Minimum0.96239

Quartile 10.99731

Median1.00163

Quartile 31.00547

Maximum1.03672

Mean of quarter 10.99149

Mean of quarter 20.99961

Mean of quarter 31.00350

Mean of quarter 41.01106

Inter Quartile Range0.00816

Number outliers low4.00000

Percentage of outliers low0.03053

Mean of outliers low0.97153

Number of outliers high4.00000

Percentage of outliers high0.03053

Mean of outliers high1.02674
 Risk estimates for a oneperiod unit investment (based on Ex

Extreme Value Index (moments method)0.55167

VaR(95%) (moments method)0.00879

Expected Shortfall (moments method)0.02155

Extreme Value Index (regression method)0.51333

VaR(95%) (regression method)0.00757

Expected Shortfall (regression method)0.01663
 DRAW DOWN STATISTICS
 Quartiles of draw downs

Number of observations15.00000

Minimum0.00009

Quartile 10.00225

Median0.00540

Quartile 30.02010

Maximum0.06021

Mean of quarter 10.00088

Mean of quarter 20.00382

Mean of quarter 30.01039

Mean of quarter 40.03983

Inter Quartile Range0.01785

Number outliers low0.00000

Percentage of outliers low0.00000

Mean of outliers low0.00000

Number of outliers high1.00000

Percentage of outliers high0.06667

Mean of outliers high0.06021
 Risk estimates based on draw downs (based on Extreme Value T

Extreme Value Index (moments method)2.29130

VaR(95%) (moments method)0.04310

Expected Shortfall (moments method)0.04375

Extreme Value Index (regression method)0.66391

VaR(95%) (regression method)0.05996

Last 4 Months  Pcnt Negative0.25%

Expected Shortfall (regression method)0.06791

Strat Max DD how much worse than SP500 max DD during strat life?324926000

Max Equity Drawdown (num days)16
 COMBINED STATISTICS

Annualized return (arithmetic extrapolation)0.38955

Compounded annual return (geometric extrapolation)0.42749

Calmar ratio (compounded annual return / max draw down)7.10036

Compounded annual return / average of 25% largest draw downs10.73220

Compounded annual return / Expected Shortfall lognormal25.10080
Strategy Description
Ok so maybe a little technical, but the main point is that the algorithm automatically adapts to changing markets. It is always trying to balance risk/reward to achieve the highest gains over time while minimizing draw down. This algorithm has been under test for 3 years and optimized for the retail trader.
The basic trading workflow includes: 1. Selecting securities to trade in for Long positions. 2. Computing Long/Flat/Cash portfolio allocation. 3. Rebalance portfolio on weekly or longer basis depending on market conditions. The adaptive allocation management allows the portfolio to distribute resources into long, flat (fixed income ETFs) and cash. Our testing has shown that the adaptive allocation model significantly improves long term performance of the portfolio while controlling execution costs and complexity.
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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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.