NIKKEI BIAS
(131919909)
Subscription terms. Subscriptions to this system cost $100.00 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
Buys when price goes up, and sells when price goes down, expecting price movements to continue. There are a number of different techniques and timeframes used, including moving averages and channel breakouts. Traders do not aim to forecast specific price levels; they simply jump on a trend and ride it. 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  

2020  (7.3%)  +78.4%  (0.3%)  +64.8%  
2021  +4.5%  +19.6%  (1.6%)  (7.6%)  (3.2%)  +19.7%  +9.7%  +8.1%  +3.2%  +61.4% 
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  $25,000  
Buy Power  $62,211  
Cash  $68,640  
Equity  ($136)  
Cumulative $  $43,503  
Total System Equity  $68,503  
Margined  $6,291  
Open P/L  ($136) 
Trading Record
Statistics

Strategy began10/27/2020

Suggested Minimum Cap$70,000

Strategy Age (days)333.66

Age11 months ago

What it tradesFutures

# Trades60

# Profitable46

% Profitable76.70%

Avg trade duration5.9 days

Max peaktovalley drawdown28.53%

drawdown periodMarch 01, 2021  May 13, 2021

Cumul. Return166.0%

Avg win$1,615

Avg loss$2,199
 Model Account Values (Raw)

Cash$68,640

Margin Used$6,291

Buying Power$62,211
 Ratios

W:L ratio2.41:1

Sharpe Ratio2.28

Sortino Ratio3.98

Calmar Ratio8.464
 CORRELATION STATISTICS

Return of Strat Pcnt  Return of SP500 Pcnt (cumu)134.63%

Correlation to SP5000.43950

Return Percent SP500 (cumu) during strategy life31.40%
 Return Statistics

Ann Return (w trading costs)188.9%
 Slump

Current Slump as Pcnt Equity3.50%
 Instruments

Percent Trades Futures1.00%
 Slump

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

Short Options  Percent Covered100.00%
 Return Statistics

Return Pcnt (Compound or Annual, agebased, NFA compliant)1.660%
 Instruments

Percent Trades Optionsn/a

Percent Trades Stocksn/a

Percent Trades Forexn/a
 Return Statistics

Ann Return (Compnd, No Fees)200.2%
 Risk of Ruin (MonteCarlo)

Chance of 10% account loss31.00%

Chance of 20% account loss11.50%

Chance of 30% account loss3.50%

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)865

Popularity (Last 6 weeks)970
 Trading Style

Any stock shorts? 0/10
 Popularity

C2 Score973

Popularity (7 days, Percentile 1000 scale)926
 Management

No Subs Allowed Flag (1: no subs)0

Strat abandoned?0
 TradesOwnSystem Certification

Trades Own System?

TOS percentn/a
 Win / Loss

Avg Loss$2,200

Avg Win$1,615

Sum Trade PL (losers)$30,799.000
 AUM

AUM (AutoTrader num accounts)5
 Age

Num Months filled monthly returns table12
 Win / Loss

Sum Trade PL (winners)$74,302.000

# Winners46

Num Months Winners7
 Dividends

Dividends Received in Model Acct0
 AUM

AUM (AutoTrader live capital)476740
 Win / Loss

# Losers14

% Winners76.7%
 Frequency

Avg Position Time (mins)8561.53

Avg Position Time (hrs)142.69

Avg Trade Length5.9 days

Last Trade Ago2
 Leverage

Daily leverage (average)3.22

Daily leverage (max)9.47
 Regression

Alpha0.21

Beta1.39

Treynor Index0.23
 Maximum Adverse Excursion (MAE)

MAE:Equity, average, all trades0.03

MAE:PL  worst single value for strategy

MAE:PL (avg, winning trades)

MAE:PL (avg, losing trades)

MAE:PL (avg, all trades)60.91

MAE:Equity, average, winning trades0.02

MAE:Equity, average, losing trades0.07

Avg(MAE) / Avg(PL)  All trades1.953

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 strat0.05

Avg(MAE) / Avg(PL)  Winning trades0.486

Avg(MAE) / Avg(PL)  Losing trades1.545

HoldandHope Ratio0.515
 Analysis based on MONTHLY values, full history
 RATIO STATISTICS
 Ratio statistics of excess return rates
 Statistics related to Sharpe ratio

Mean1.37628

SD0.71916

Sharpe ratio (Glass type estimate)1.91372

Sharpe ratio (Hedges UMVUE)1.74890

df9.00000

t1.74698

p0.05729

Lowerbound of 95% confidence interval for Sharpe Ratio0.44808

Upperbound of 95% confidence interval for Sharpe Ratio4.18598

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0.54511

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation4.04292
 Statistics related to Sortino ratio

Sortino ratio15.11450

Upside Potential Ratio16.82450

Upside part of mean1.53198

Downside part of mean0.15570

Upside SD0.78424

Downside SD0.09106

N nonnegative terms6.00000

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

N of observations10.00000

Mean of predictor0.32548

Mean of criterion1.37628

SD of predictor0.07886

SD of criterion0.71916

Covariance0.03773

r0.66536

b (slope, estimate of beta)6.06779

a (intercept, estimate of alpha)0.59868

Mean Square Error0.32426

DF error8.00000

t(b)2.52089

p(b)0.01788

t(a)0.59782

p(a)0.71675

Lowerbound of 95% confidence interval for beta0.51723

Upperbound of 95% confidence interval for beta11.61840

Lowerbound of 95% confidence interval for alpha2.90802

Upperbound of 95% confidence interval for alpha1.71065

Treynor index (mean / b)0.22682

Jensen alpha (a)0.59868
 Ratio statistics of excess log return rates
 Statistics related to Sharpe ratio

Mean1.13770

SD0.58091

Sharpe ratio (Glass type estimate)1.95849

Sharpe ratio (Hedges UMVUE)1.78981

df9.00000

t1.78785

p0.05372

Lowerbound of 95% confidence interval for Sharpe Ratio0.41177

Upperbound of 95% confidence interval for Sharpe Ratio4.23771

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0.51092

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation4.09055
 Statistics related to Sortino ratio

Sortino ratio12.11460

Upside Potential Ratio13.81460

Upside part of mean1.29735

Downside part of mean0.15966

Upside SD0.63462

Downside SD0.09391

N nonnegative terms6.00000

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

N of observations10.00000

Mean of predictor0.31778

Mean of criterion1.13770

SD of predictor0.07634

SD of criterion0.58091

Covariance0.02830

r0.63804

b (slope, estimate of beta)4.85486

a (intercept, estimate of alpha)0.40509

Mean Square Error0.22509

DF error8.00000

t(b)2.34367

p(b)0.02357

t(a)0.48299

p(a)0.67898

Lowerbound of 95% confidence interval for beta0.07801

Upperbound of 95% confidence interval for beta9.63171

Lowerbound of 95% confidence interval for alpha2.33917

Upperbound of 95% confidence interval for alpha1.52899

Treynor index (mean / b)0.23434

Jensen alpha (a)0.40509
 Risk estimates for a oneperiod unit investment (parametric)
 assuming log normal returns and losses (using central moments from Sharpe statistics)

VaR(95%)0.16558

Expected Shortfall on VaR0.22058
 assuming Pareto losses only (using partial moments from Sortino statistics)

VaR(95%)0.02590

Expected Shortfall on VaR0.05215
 ORDER STATISTICS
 Quartiles of return rates

Number of observations10.00000

Minimum0.92826

Quartile 10.98437

Median1.03581

Quartile 31.17709

Maximum1.62405

Mean of quarter 10.96005

Mean of quarter 21.01333

Mean of quarter 31.09126

Mean of quarter 41.36028

Inter Quartile Range0.19272

Number outliers low0.00000

Percentage of outliers low0.00000

Mean of outliers low0.00000

Number of outliers high1.00000

Percentage of outliers high0.10000

Mean of outliers high1.62405
 Risk estimates for a oneperiod unit investment (based on Ex

Extreme Value Index (moments method)0.00688

VaR(95%) (moments method)0.04259

Expected Shortfall (moments method)0.05825

Extreme Value Index (regression method)1.69671

VaR(95%) (regression method)0.08855

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

Number of observations2.00000

Minimum0.00060

Quartile 10.02942

Median0.05823

Quartile 30.08705

Maximum0.11586

Mean of quarter 10.00060

Mean of quarter 20.00000

Mean of quarter 30.00000

Mean of quarter 40.11586

Inter Quartile Range0.05763

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)1.96977

Compounded annual return (geometric extrapolation)2.20786

Calmar ratio (compounded annual return / max draw down)19.05580

Compounded annual return / average of 25% largest draw downs19.05580

Compounded annual return / Expected Shortfall lognormal10.00920

0.00000

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

Mean1.18456

SD0.42380

Sharpe ratio (Glass type estimate)2.79506

Sharpe ratio (Hedges UMVUE)2.78613

df235.00000

t2.65275

p0.00426

Lowerbound of 95% confidence interval for Sharpe Ratio0.71164

Upperbound of 95% confidence interval for Sharpe Ratio4.87266

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0.70571

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation4.86654
 Statistics related to Sortino ratio

Sortino ratio5.02502

Upside Potential Ratio11.48130

Upside part of mean2.70650

Downside part of mean1.52194

Upside SD0.35866

Downside SD0.23573

N nonnegative terms121.00000

N negative terms115.00000
 Statistics related to linear regression on benchmark

N of observations236.00000

Mean of predictor0.28443

Mean of criterion1.18456

SD of predictor0.13413

SD of criterion0.42380

Covariance0.02583

r0.45446

b (slope, estimate of beta)1.43590

a (intercept, estimate of alpha)0.77600

Mean Square Error0.14312

DF error234.00000

t(b)7.80448

p(b)0.00000

t(a)1.93055

p(a)0.02737

Lowerbound of 95% confidence interval for beta1.07342

Upperbound of 95% confidence interval for beta1.79838

Lowerbound of 95% confidence interval for alpha0.01592

Upperbound of 95% confidence interval for alpha1.56821

Treynor index (mean / b)0.82496

Jensen alpha (a)0.77614
 Ratio statistics of excess log return rates
 Statistics related to Sharpe ratio

Mean1.09431

SD0.41789

Sharpe ratio (Glass type estimate)2.61865

Sharpe ratio (Hedges UMVUE)2.61028

df235.00000

t2.48532

p0.00682

Lowerbound of 95% confidence interval for Sharpe Ratio0.53732

Upperbound of 95% confidence interval for Sharpe Ratio4.69452

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0.53173

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation4.68883
 Statistics related to Sortino ratio

Sortino ratio4.51152

Upside Potential Ratio10.90440

Upside part of mean2.64495

Downside part of mean1.55064

Upside SD0.34587

Downside SD0.24256

N nonnegative terms121.00000

N negative terms115.00000
 Statistics related to linear regression on benchmark

N of observations236.00000

Mean of predictor0.27529

Mean of criterion1.09431

SD of predictor0.13426

SD of criterion0.41789

Covariance0.02560

r0.45637

b (slope, estimate of beta)1.42048

a (intercept, estimate of alpha)0.70327

Mean Square Error0.13885

DF error234.00000

t(b)7.84576

p(b)0.00000

t(a)1.77697

p(a)0.03844

Lowerbound of 95% confidence interval for beta1.06378

Upperbound of 95% confidence interval for beta1.77718

Lowerbound of 95% confidence interval for alpha0.07646

Upperbound of 95% confidence interval for alpha1.48300

Treynor index (mean / b)0.77038

Jensen alpha (a)0.70327
 Risk estimates for a oneperiod unit investment (parametric)
 assuming log normal returns and losses (using central moments from Sharpe statistics)

VaR(95%)0.03757

Expected Shortfall on VaR0.04785
 assuming Pareto losses only (using partial moments from Sortino statistics)

VaR(95%)0.01292

Expected Shortfall on VaR0.02754
 ORDER STATISTICS
 Quartiles of return rates

Number of observations236.00000

Minimum0.89904

Quartile 10.99401

Median1.00026

Quartile 31.01202

Maximum1.15336

Mean of quarter 10.97797

Mean of quarter 20.99902

Mean of quarter 31.00545

Mean of quarter 41.03608

Inter Quartile Range0.01801

Number outliers low14.00000

Percentage of outliers low0.05932

Mean of outliers low0.94907

Number of outliers high20.00000

Percentage of outliers high0.08475

Mean of outliers high1.06325
 Risk estimates for a oneperiod unit investment (based on Ex

Extreme Value Index (moments method)0.51585

VaR(95%) (moments method)0.02147

Expected Shortfall (moments method)0.05062

Extreme Value Index (regression method)0.34830

VaR(95%) (regression method)0.02086

Expected Shortfall (regression method)0.03921
 DRAW DOWN STATISTICS
 Quartiles of draw downs

Number of observations17.00000

Minimum0.00718

Quartile 10.01223

Median0.02954

Quartile 30.04930

Maximum0.24477

Mean of quarter 10.00906

Mean of quarter 20.02376

Mean of quarter 30.04021

Mean of quarter 40.10618

Inter Quartile Range0.03707

Number outliers low0.00000

Percentage of outliers low0.00000

Mean of outliers low0.00000

Number of outliers high1.00000

Percentage of outliers high0.05882

Mean of outliers high0.24477
 Risk estimates based on draw downs (based on Extreme Value T

Extreme Value Index (moments method)0.67968

VaR(95%) (moments method)0.12176

Expected Shortfall (moments method)0.35793

Extreme Value Index (regression method)3.14083

VaR(95%) (regression method)0.15560

Expected Shortfall (regression method)0.00000
 COMBINED STATISTICS

Annualized return (arithmetic extrapolation)1.94051

Compounded annual return (geometric extrapolation)2.07165

Calmar ratio (compounded annual return / max draw down)8.46373

Compounded annual return / average of 25% largest draw downs19.51150

Compounded annual return / Expected Shortfall lognormal43.29590

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

Mean0.81471

SD0.39100

Sharpe ratio (Glass type estimate)2.08365

Sharpe ratio (Hedges UMVUE)2.07160

df130.00000

t1.47336

p0.43592

Lowerbound of 95% confidence interval for Sharpe Ratio0.70359

Upperbound of 95% confidence interval for Sharpe Ratio4.86312

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0.71162

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation4.85482
 Statistics related to Sortino ratio

Sortino ratio3.14975

Upside Potential Ratio9.29904

Upside part of mean2.40529

Downside part of mean1.59057

Upside SD0.29554

Downside SD0.25866

N nonnegative terms80.00000

N negative terms51.00000
 Statistics related to linear regression on benchmark

N of observations131.00000

Mean of predictor0.23954

Mean of criterion0.81471

SD of predictor0.10886

SD of criterion0.39100

Covariance0.01888

r0.44350

b (slope, estimate of beta)1.59300

a (intercept, estimate of alpha)0.43312

Mean Square Error0.12377

DF error129.00000

t(b)5.62022

p(b)0.22721

t(a)0.86256

p(a)0.45184

Lowerbound of 95% confidence interval for beta1.03221

Upperbound of 95% confidence interval for beta2.15380

Lowerbound of 95% confidence interval for alpha0.56036

Upperbound of 95% confidence interval for alpha1.42661

Treynor index (mean / b)0.51143

Jensen alpha (a)0.43312
 Ratio statistics of excess log return rates
 Statistics related to Sharpe ratio

Mean0.73762

SD0.39132

Sharpe ratio (Glass type estimate)1.88496

Sharpe ratio (Hedges UMVUE)1.87406

df130.00000

t1.33287

p0.44194

Lowerbound of 95% confidence interval for Sharpe Ratio0.89982

Upperbound of 95% confidence interval for Sharpe Ratio4.66271

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0.90709

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation4.65521
 Statistics related to Sortino ratio

Sortino ratio2.75811

Upside Potential Ratio8.83571

Upside part of mean2.36299

Downside part of mean1.62537

Upside SD0.28726

Downside SD0.26744

N nonnegative terms80.00000

N negative terms51.00000
 Statistics related to linear regression on benchmark

N of observations131.00000

Mean of predictor0.23353

Mean of criterion0.73762

SD of predictor0.10884

SD of criterion0.39132

Covariance0.01902

r0.44650

b (slope, estimate of beta)1.60529

a (intercept, estimate of alpha)0.36273

Mean Square Error0.12355

DF error129.00000

t(b)5.66759

p(b)0.22550

t(a)0.72332

p(a)0.45957

VAR (95 Confidence Intrvl)0.03800

Lowerbound of 95% confidence interval for beta1.04489

Upperbound of 95% confidence interval for beta2.16568

Lowerbound of 95% confidence interval for alpha0.62945

Upperbound of 95% confidence interval for alpha1.35492

Treynor index (mean / b)0.45949

Jensen alpha (a)0.36273
 Risk estimates for a oneperiod unit investment (parametric)
 assuming log normal returns and losses (using central moments from Sharpe statistics)

VaR(95%)0.03628

Expected Shortfall on VaR0.04592
 assuming Pareto losses only (using partial moments from Sortino statistics)

VaR(95%)0.01149

Expected Shortfall on VaR0.02574
 ORDER STATISTICS
 Quartiles of return rates

Number of observations131.00000

Minimum0.89904

Quartile 10.99491

Median1.00306

Quartile 31.01089

Maximum1.10839

Mean of quarter 10.97720

Mean of quarter 20.99963

Mean of quarter 31.00656

Mean of quarter 41.02958

Inter Quartile Range0.01598

Number outliers low8.00000

Percentage of outliers low0.06107

Mean of outliers low0.94337

Number of outliers high10.00000

Percentage of outliers high0.07634

Mean of outliers high1.05370
 Risk estimates for a oneperiod unit investment (based on Ex

Extreme Value Index (moments method)0.57791

VaR(95%) (moments method)0.02095

Expected Shortfall (moments method)0.05677

Extreme Value Index (regression method)0.37234

VaR(95%) (regression method)0.02064

Expected Shortfall (regression method)0.04088
 DRAW DOWN STATISTICS
 Quartiles of draw downs

Number of observations8.00000

Minimum0.00830

Quartile 10.02515

Median0.03046

Quartile 30.04296

Maximum0.24024

Mean of quarter 10.01513

Mean of quarter 20.02787

Mean of quarter 30.03178

Mean of quarter 40.15778

Inter Quartile Range0.01782

Number outliers low0.00000

Percentage of outliers low0.00000

Mean of outliers low0.00000

Number of outliers high2.00000

Percentage of outliers high0.25000

Mean of outliers high0.15778
 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

Last 4 Months  Pcnt Negativen/a

Expected Shortfall (regression method)0.00000

Strat Max DD how much worse than SP500 max DD during strat life?286114000

Max Equity Drawdown (num days)73
 COMBINED STATISTICS

Annualized return (arithmetic extrapolation)0.93266

Compounded annual return (geometric extrapolation)1.15013

Calmar ratio (compounded annual return / max draw down)4.78735

Compounded annual return / average of 25% largest draw downs7.28960

Compounded annual return / Expected Shortfall lognormal25.04400
Strategy Description
Location: London
Experience In Markets: 15 years
Job Title: Equity Trader
Preferred Markets: Equity Futures
Sharpe Ratio: 1.01
Description from the strategy designer:
The focus of London Equities is to capitalize on stock markets worldwide. Our strategies typically build exposure to the long side of the stock markets, but in certain periods, and on certain occasions we may initiate the occasional short sell position, as well as building a market neutral portfolio when the market climate dictates.
Year on year equities will typically increase in value, and our strategies will aim to increase that natural appreciation in value, by a multiple of 2 to 3.
This particular strategy focuses on providing exposure to the Nikkei, and will adopt a BUY and FLAT policy. We try and buy on small retracements, with a stop to ensure we miss the large reversals.
If other opportunities present themselves, we may build exposure within other global markets as well, but ideally alongside a Nikkei Bias.
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 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.