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%  +16.9%  +11.0%  +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%  (3.4%)  +4.6%  (1.8%)  +36.7% 
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  $44,526  
Cash  $1  
Equity  $1  
Cumulative $  $57,105  
Includes dividends and cashsettled expirations:  $2,359  Itemized 
Total System Equity  $107,105  
Margined  $1  
Open P/L  $1,807  
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)726.51

Age24 months ago

What it tradesStocks

# Trades274

# Profitable195

% Profitable71.20%

Avg trade duration24.9 days

Max peaktovalley drawdown24.61%

drawdown periodFeb 20, 2020  March 07, 2020

Annual Return (Compounded)44.6%

Avg win$475.16

Avg loss$479.90
 Model Account Values (Raw)

Cash$45,540

Margin Used$0

Buying Power$44,526
 Ratios

W:L ratio2.57:1

Sharpe Ratio1.5

Sortino Ratio2.46

Calmar Ratio2.441
 CORRELATION STATISTICS

Return of Strat Pcnt  Return of SP500 Pcnt (cumu)61.34%

Correlation to SP5000.04230

Return Percent SP500 (cumu) during strategy life47.55%
 Return Statistics

Ann Return (w trading costs)44.6%
 Slump

Current Slump as Pcnt Equity6.10%
 Instruments

Percent Trades Futuresn/a
 Slump

Current Slump, time of slump as pcnt of strategy life0.03%
 Instruments

Short Options  Percent Covered100.00%
 Return Statistics

Return Pcnt (Compound or Annual, agebased, NFA compliant)0.446%
 Instruments

Percent Trades Optionsn/a

Percent Trades Stocks1.00%

Percent Trades Forexn/a
 Return Statistics

Ann Return (Compnd, No Fees)46.6%
 Risk of Ruin (MonteCarlo)

Chance of 10% account loss44.50%

Chance of 20% account loss12.50%

Chance of 30% account loss1.00%

Chance of 40% account loss0.50%

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)704

Popularity (Last 6 weeks)944
 Trading Style

Any stock shorts? 0/11
 Popularity

C2 Score897

Popularity (7 days, Percentile 1000 scale)888
 Management

No Subs Allowed Flag (1: no subs)0

Strat abandoned?0
 TradesOwnSystem Certification

Trades Own System?

TOS percentn/a
 Win / Loss

Avg Loss$480

Avg Win$475

Sum Trade PL (losers)$37,912.000
 AUM

AUM (AutoTrader num accounts)7
 Age

Num Months filled monthly returns table24
 Win / Loss

Sum Trade PL (winners)$92,657.000

# Winners195

Num Months Winners18
 Dividends

Dividends Received in Model Acct2360
 AUM

AUM (AutoTrader live capital)681572
 Win / Loss

# Losers79

% Winners71.2%
 Frequency

Avg Position Time (mins)35908.10

Avg Position Time (hrs)598.47

Avg Trade Length24.9 days

Last Trade Ago41
 Leverage

Daily leverage (average)1.13

Daily leverage (max)3.03
 Regression

Alpha0.10

Beta0.04

Treynor Index3.03
 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)0.06

MAE:Equity, average, winning trades0.00

MAE:Equity, average, losing trades0.01

Avg(MAE) / Avg(PL)  All trades2.078

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 trades0.510

Avg(MAE) / Avg(PL)  Losing trades1.632

HoldandHope Ratio0.491
 Analysis based on MONTHLY values, full history
 RATIO STATISTICS
 Ratio statistics of excess return rates
 Statistics related to Sharpe ratio

Mean0.42903

SD0.24749

Sharpe ratio (Glass type estimate)1.73355

Sharpe ratio (Hedges UMVUE)1.67366

df22.00000

t2.39999

p0.01265

Lowerbound of 95% confidence interval for Sharpe Ratio0.21168

Upperbound of 95% confidence interval for Sharpe Ratio3.22070

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0.17406

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation3.17325
 Statistics related to Sortino ratio

Sortino ratio3.25901

Upside Potential Ratio4.16172

Upside part of mean0.54786

Downside part of mean0.11883

Upside SD0.23790

Downside SD0.13164

N nonnegative terms18.00000

N negative terms5.00000
 Statistics related to linear regression on benchmark

N of observations23.00000

Mean of predictor0.20950

Mean of criterion0.42903

SD of predictor0.21231

SD of criterion0.24749

Covariance0.02090

r0.39782

b (slope, estimate of beta)0.46373

a (intercept, estimate of alpha)0.33188

Mean Square Error0.05401

DF error21.00000

t(b)1.98706

p(b)0.25359

t(a)1.89814

p(a)0.26246

Lowerbound of 95% confidence interval for beta0.02160

Upperbound of 95% confidence interval for beta0.94906

Lowerbound of 95% confidence interval for alpha0.03173

Upperbound of 95% confidence interval for alpha0.69548

Treynor index (mean / b)0.92517

Jensen alpha (a)0.33188
 Ratio statistics of excess log return rates
 Statistics related to Sharpe ratio

Mean0.39228

SD0.24603

Sharpe ratio (Glass type estimate)1.59444

Sharpe ratio (Hedges UMVUE)1.53935

df22.00000

t2.20740

p0.01901

Lowerbound of 95% confidence interval for Sharpe Ratio0.08701

Upperbound of 95% confidence interval for Sharpe Ratio3.06936

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0.05237

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation3.02634
 Statistics related to Sortino ratio

Sortino ratio2.71318

Upside Potential Ratio3.60098

Upside part of mean0.52065

Downside part of mean0.12836

Upside SD0.22320

Downside SD0.14458

N nonnegative terms18.00000

N negative terms5.00000
 Statistics related to linear regression on benchmark

N of observations23.00000

Mean of predictor0.18525

Mean of criterion0.39228

SD of predictor0.21766

SD of criterion0.24603

Covariance0.01962

r0.36637

b (slope, estimate of beta)0.41412

a (intercept, estimate of alpha)0.31557

Mean Square Error0.05490

DF error21.00000

t(b)1.80437

p(b)0.27209

t(a)1.80835

p(a)0.27168

Lowerbound of 95% confidence interval for beta0.06317

Upperbound of 95% confidence interval for beta0.89141

Lowerbound of 95% confidence interval for alpha0.04734

Upperbound of 95% confidence interval for alpha0.67847

Treynor index (mean / b)0.94727

Jensen alpha (a)0.31557
 Risk estimates for a oneperiod unit investment (parametric)
 assuming log normal returns and losses (using central moments from Sharpe statistics)

VaR(95%)0.08069

Expected Shortfall on VaR0.10727
 assuming Pareto losses only (using partial moments from Sortino statistics)

VaR(95%)0.01119

Expected Shortfall on VaR0.03076
 ORDER STATISTICS
 Quartiles of return rates

Number of observations23.00000

Minimum0.82180

Quartile 11.00426

Median1.02910

Quartile 31.06237

Maximum1.18422

Mean of quarter 10.96468

Mean of quarter 21.01818

Mean of quarter 31.04933

Mean of quarter 41.12200

Inter Quartile Range0.05811

Number outliers low1.00000

Percentage of outliers low0.04348

Mean of outliers low0.82180

Number of outliers high2.00000

Percentage of outliers high0.08696

Mean of outliers high1.16919
 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)1.01111

VaR(95%) (regression method)0.03396

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

Number of observations4.00000

Minimum0.00380

Quartile 10.01178

Median0.01491

Quartile 30.05608

Maximum0.17820

Mean of quarter 10.00380

Mean of quarter 20.01444

Mean of quarter 30.01537

Mean of quarter 40.17820

Inter Quartile Range0.04429

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)0.64566

Compounded annual return (geometric extrapolation)0.52225

Calmar ratio (compounded annual return / max draw down)2.93071

Compounded annual return / average of 25% largest draw downs2.93071

Compounded annual return / Expected Shortfall lognormal4.86875

0.00000

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

Mean0.37775

SD0.19338

Sharpe ratio (Glass type estimate)1.95338

Sharpe ratio (Hedges UMVUE)1.95053

df514.00000

t2.73867

p0.00319

Lowerbound of 95% confidence interval for Sharpe Ratio0.54941

Upperbound of 95% confidence interval for Sharpe Ratio3.35551

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0.54749

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation3.35357
 Statistics related to Sortino ratio

Sortino ratio3.20141

Upside Potential Ratio9.74085

Upside part of mean1.14936

Downside part of mean0.77162

Upside SD0.15474

Downside SD0.11799

N nonnegative terms292.00000

N negative terms223.00000
 Statistics related to linear regression on benchmark

N of observations515.00000

Mean of predictor0.20421

Mean of criterion0.37775

SD of predictor0.26040

SD of criterion0.19338

Covariance0.00641

r0.12729

b (slope, estimate of beta)0.09453

a (intercept, estimate of alpha)0.35800

Mean Square Error0.03686

DF error513.00000

t(b)2.90664

p(b)0.00191

t(a)2.61441

p(a)0.00460

Lowerbound of 95% confidence interval for beta0.03064

Upperbound of 95% confidence interval for beta0.15842

Lowerbound of 95% confidence interval for alpha0.08909

Upperbound of 95% confidence interval for alpha0.62780

Treynor index (mean / b)3.99613

Jensen alpha (a)0.35844
 Ratio statistics of excess log return rates
 Statistics related to Sharpe ratio

Mean0.35897

SD0.19205

Sharpe ratio (Glass type estimate)1.86916

Sharpe ratio (Hedges UMVUE)1.86643

df514.00000

t2.62059

p0.00452

Lowerbound of 95% confidence interval for Sharpe Ratio0.46568

Upperbound of 95% confidence interval for Sharpe Ratio3.27092

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0.46382

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation3.26904
 Statistics related to Sortino ratio

Sortino ratio2.99603

Upside Potential Ratio9.49474

Upside part of mean1.13760

Downside part of mean0.77864

Upside SD0.15148

Downside SD0.11981

N nonnegative terms292.00000

N negative terms223.00000
 Statistics related to linear regression on benchmark

N of observations515.00000

Mean of predictor0.17000

Mean of criterion0.35897

SD of predictor0.26216

SD of criterion0.19205

Covariance0.00639

r0.12685

b (slope, estimate of beta)0.09292

a (intercept, estimate of alpha)0.34317

Mean Square Error0.03636

DF error513.00000

t(b)2.89654

p(b)0.00197

t(a)2.52118

p(a)0.00600

Lowerbound of 95% confidence interval for beta0.02990

Upperbound of 95% confidence interval for beta0.15595

Lowerbound of 95% confidence interval for alpha0.07576

Upperbound of 95% confidence interval for alpha0.61058

Treynor index (mean / b)3.86297

Jensen alpha (a)0.34317
 Risk estimates for a oneperiod unit investment (parametric)
 assuming log normal returns and losses (using central moments from Sharpe statistics)

VaR(95%)0.01798

Expected Shortfall on VaR0.02283
 assuming Pareto losses only (using partial moments from Sortino statistics)

VaR(95%)0.00605

Expected Shortfall on VaR0.01307
 ORDER STATISTICS
 Quartiles of return rates

Number of observations515.00000

Minimum0.94401

Quartile 10.99700

Median1.00113

Quartile 31.00584

Maximum1.09937

Mean of quarter 10.98930

Mean of quarter 20.99932

Mean of quarter 31.00335

Mean of quarter 41.01424

Inter Quartile Range0.00884

Number outliers low21.00000

Percentage of outliers low0.04078

Mean of outliers low0.97100

Number of outliers high21.00000

Percentage of outliers high0.04078

Mean of outliers high1.03572
 Risk estimates for a oneperiod unit investment (based on Ex

Extreme Value Index (moments method)0.44830

VaR(95%) (moments method)0.01007

Expected Shortfall (moments method)0.02127

Extreme Value Index (regression method)0.31965

VaR(95%) (regression method)0.00986

Expected Shortfall (regression method)0.01786
 DRAW DOWN STATISTICS
 Quartiles of draw downs

Number of observations49.00000

Minimum0.00009

Quartile 10.00263

Median0.00588

Quartile 30.02190

Maximum0.19353

Mean of quarter 10.00121

Mean of quarter 20.00452

Mean of quarter 30.01316

Mean of quarter 40.06285

Inter Quartile Range0.01926

Number outliers low0.00000

Percentage of outliers low0.00000

Mean of outliers low0.00000

Number of outliers high5.00000

Percentage of outliers high0.10204

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

Extreme Value Index (moments method)0.35168

VaR(95%) (moments method)0.06157

Expected Shortfall (moments method)0.11184

Extreme Value Index (regression method)0.57095

VaR(95%) (regression method)0.07356

Expected Shortfall (regression method)0.18630
 COMBINED STATISTICS

Annualized return (arithmetic extrapolation)0.57958

Compounded annual return (geometric extrapolation)0.47237

Calmar ratio (compounded annual return / max draw down)2.44082

Compounded annual return / average of 25% largest draw downs7.51541

Compounded annual return / Expected Shortfall lognormal20.69160

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

Mean0.03198

SD0.10258

Sharpe ratio (Glass type estimate)0.31173

Sharpe ratio (Hedges UMVUE)0.30993

df130.00000

t0.22043

p0.49034

Lowerbound of 95% confidence interval for Sharpe Ratio2.46082

Upperbound of 95% confidence interval for Sharpe Ratio3.08331

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation2.46213

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation3.08199
 Statistics related to Sortino ratio

Sortino ratio0.41546

Upside Potential Ratio7.92984

Upside part of mean0.61032

Downside part of mean0.57834

Upside SD0.06724

Downside SD0.07696

N nonnegative terms68.00000

N negative terms63.00000
 Statistics related to linear regression on benchmark

N of observations131.00000

Mean of predictor0.15696

Mean of criterion0.03198

SD of predictor0.10630

SD of criterion0.10258

Covariance0.00662

r0.60690

b (slope, estimate of beta)0.58566

a (intercept, estimate of alpha)0.05995

Mean Square Error0.00670

DF error129.00000

t(b)8.67301

p(b)0.13887

t(a)0.51580

p(a)0.52887

Lowerbound of 95% confidence interval for beta0.45206

Upperbound of 95% confidence interval for beta0.71927

Lowerbound of 95% confidence interval for alpha0.28990

Upperbound of 95% confidence interval for alpha0.17000

Treynor index (mean / b)0.05460

Jensen alpha (a)0.05995
 Ratio statistics of excess log return rates
 Statistics related to Sharpe ratio

Mean0.02673

SD0.10290

Sharpe ratio (Glass type estimate)0.25975

Sharpe ratio (Hedges UMVUE)0.25825

df130.00000

t0.18367

p0.49195

Lowerbound of 95% confidence interval for Sharpe Ratio2.51272

Upperbound of 95% confidence interval for Sharpe Ratio3.03126

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation2.51373

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation3.03024
 Statistics related to Sortino ratio

Sortino ratio0.34411

Upside Potential Ratio7.82761

Upside part of mean0.60800

Downside part of mean0.58127

Upside SD0.06691

Downside SD0.07767

N nonnegative terms68.00000

N negative terms63.00000
 Statistics related to linear regression on benchmark

N of observations131.00000

Mean of predictor0.15128

Mean of criterion0.02673

SD of predictor0.10647

SD of criterion0.10290

Covariance0.00664

r0.60595

b (slope, estimate of beta)0.58566

a (intercept, estimate of alpha)0.06187

Mean Square Error0.00675

DF error129.00000

t(b)8.65138

p(b)0.13936

t(a)0.53032

p(a)0.52968

VAR (95 Confidence Intrvl)0.01800

Lowerbound of 95% confidence interval for beta0.45172

Upperbound of 95% confidence interval for beta0.71960

Lowerbound of 95% confidence interval for alpha0.29269

Upperbound of 95% confidence interval for alpha0.16895

Treynor index (mean / b)0.04564

Jensen alpha (a)0.06187
 Risk estimates for a oneperiod unit investment (parametric)
 assuming log normal returns and losses (using central moments from Sharpe statistics)

VaR(95%)0.01030

Expected Shortfall on VaR0.01292
 assuming Pareto losses only (using partial moments from Sortino statistics)

VaR(95%)0.00494

Expected Shortfall on VaR0.00995
 ORDER STATISTICS
 Quartiles of return rates

Number of observations131.00000

Minimum0.97093

Quartile 10.99693

Median1.00069

Quartile 31.00412

Maximum1.01566

Mean of quarter 10.99276

Mean of quarter 20.99874

Mean of quarter 31.00201

Mean of quarter 41.00746

Inter Quartile Range0.00719

Number outliers low2.00000

Percentage of outliers low0.01527

Mean of outliers low0.97227

Number of outliers high2.00000

Percentage of outliers high0.01527

Mean of outliers high1.01544
 Risk estimates for a oneperiod unit investment (based on Ex

Extreme Value Index (moments method)0.32105

VaR(95%) (moments method)0.00756

Expected Shortfall (moments method)0.01280

Extreme Value Index (regression method)0.17424

VaR(95%) (regression method)0.00675

Expected Shortfall (regression method)0.00988
 DRAW DOWN STATISTICS
 Quartiles of draw downs

Number of observations11.00000

Minimum0.00009

Quartile 10.00349

Median0.00707

Quartile 30.02667

Maximum0.04715

Mean of quarter 10.00080

Mean of quarter 20.00612

Mean of quarter 30.01584

Mean of quarter 40.04146

Inter Quartile Range0.02318

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)343.79600

VaR(95%) (moments method)0.04376

Expected Shortfall (moments method)0.00000

Extreme Value Index (regression method)4.37482

VaR(95%) (regression method)0.07001

Last 4 Months  Pcnt Negative0.50%

Expected Shortfall (regression method)0.07003

Strat Max DD how much worse than SP500 max DD during strat life?326931000

Max Equity Drawdown (num days)16
 COMBINED STATISTICS

Annualized return (arithmetic extrapolation)0.05539

Compounded annual return (geometric extrapolation)0.05616

Calmar ratio (compounded annual return / max draw down)1.19088

Compounded annual return / average of 25% largest draw downs1.35445

Compounded annual return / Expected Shortfall lognormal4.34506
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.