3Algo Futures
(128751974)
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.
Commodities
Focuses on nonfinancial futures such as "softs" and grains, or metals and energy.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  

2020  +20.8%    +1.1%  +1.3%  +12.8%  +2.0%  +9.3%  (3.2%)  (1%)  +49.3%  
2021  +2.6%  (2.1%)  +22.0%  (4.5%)  (0.7%)  +9.7%  +4.5%  (3.2%)  (8.9%)  +17.6% 
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  $83,839  
Cash  $92,404  
Equity  ($640)  
Cumulative $  $41,764  
Total System Equity  $91,764  
Margined  $7,925  
Open P/L  ($640) 
Trading Record
Statistics

Strategy began4/27/2020

Suggested Minimum Cap$90,000

Strategy Age (days)516.64

Age17 months ago

What it tradesFutures

# Trades219

# Profitable97

% Profitable44.30%

Avg trade duration4.6 days

Max peaktovalley drawdown13.97%

drawdown periodAug 03, 2021  Sept 24, 2021

Annual Return (Compounded)48.5%

Avg win$1,335

Avg loss$719.64
 Model Account Values (Raw)

Cash$92,404

Margin Used$7,925

Buying Power$83,839
 Ratios

W:L ratio1.48:1

Sharpe Ratio1.84

Sortino Ratio3.69

Calmar Ratio5.149
 CORRELATION STATISTICS

Return of Strat Pcnt  Return of SP500 Pcnt (cumu)20.83%

Correlation to SP5000.09440

Return Percent SP500 (cumu) during strategy life54.79%
 Return Statistics

Ann Return (w trading costs)48.5%
 Slump

Current Slump as Pcnt Equity16.20%
 Instruments

Percent Trades Futures1.00%
 Slump

Current Slump, time of slump as pcnt of strategy life0.10%
 Instruments

Short Options  Percent Covered100.00%
 Return Statistics

Return Pcnt (Compound or Annual, agebased, NFA compliant)0.485%
 Instruments

Percent Trades Optionsn/a

Percent Trades Stocksn/a

Percent Trades Forexn/a
 Return Statistics

Ann Return (Compnd, No Fees)53.4%
 Risk of Ruin (MonteCarlo)

Chance of 10% account loss4.00%

Chance of 20% account loss0.50%

Chance of 30% account lossn/a

Chance of 40% account lossn/a

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

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

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

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

Percentage Signals Automatedn/a
 Risk of Ruin (MonteCarlo)

Chance of 50% account lossn/a
 Popularity

Popularity (Today)0

Popularity (Last 6 weeks)922
 Trading Style

Any stock shorts? 0/10
 Popularity

C2 Score890

Popularity (7 days, Percentile 1000 scale)808
 Management

No Subs Allowed Flag (1: no subs)0

Strat abandoned?0
 TradesOwnSystem Certification

Trades Own System?

TOS percentn/a
 Win / Loss

Avg Loss$720

Avg Win$1,336

Sum Trade PL (losers)$87,796.000
 AUM

AUM (AutoTrader num accounts)2
 Age

Num Months filled monthly returns table18
 Win / Loss

Sum Trade PL (winners)$129,560.000

# Winners97

Num Months Winners11
 Dividends

Dividends Received in Model Acct0
 AUM

AUM (AutoTrader live capital)180420
 Win / Loss

# Losers122

% Winners44.3%
 Frequency

Avg Position Time (mins)6673.20

Avg Position Time (hrs)111.22

Avg Trade Length4.6 days

Last Trade Ago2
 Leverage

Daily leverage (average)1.32

Daily leverage (max)10.55
 Regression

Alpha0.10

Beta0.11

Treynor Index1.05
 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)0.10

MAE:Equity, average, winning trades0.01

MAE:Equity, average, losing trades0.01

Avg(MAE) / Avg(PL)  All trades4.343

MAE:Equity, losing trades only, 95th Percentile Value for this strat

MAE:Equity, win trades only, 95th Percentile Value for this strat

MAE:Equity, 95th Percentile Value for this strat0.00

Avg(MAE) / Avg(PL)  Winning trades0.385

Avg(MAE) / Avg(PL)  Losing trades1.292

HoldandHope Ratio0.228
 Analysis based on MONTHLY values, full history
 RATIO STATISTICS
 Ratio statistics of excess return rates
 Statistics related to Sharpe ratio

Mean0.58241

SD0.30451

Sharpe ratio (Glass type estimate)1.91262

Sharpe ratio (Hedges UMVUE)1.80798

df14.00000

t2.13838

p0.25190

Lowerbound of 95% confidence interval for Sharpe Ratio0.00485

Upperbound of 95% confidence interval for Sharpe Ratio3.77178

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0.06862

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation3.68458
 Statistics related to Sortino ratio

Sortino ratio8.38733

Upside Potential Ratio10.10130

Upside part of mean0.70143

Downside part of mean0.11902

Upside SD0.33165

Downside SD0.06944

N nonnegative terms10.00000

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

N of observations15.00000

Mean of predictor0.34496

Mean of criterion0.58241

SD of predictor0.08582

SD of criterion0.30451

Covariance0.00884

r0.33844

b (slope, estimate of beta)1.20091

a (intercept, estimate of alpha)0.16815

Mean Square Error0.08842

DF error13.00000

t(b)1.29679

p(b)0.28873

t(a)0.40453

p(a)0.42917

Lowerbound of 95% confidence interval for beta0.79972

Upperbound of 95% confidence interval for beta3.20154

Lowerbound of 95% confidence interval for alpha0.72986

Upperbound of 95% confidence interval for alpha1.06616

Treynor index (mean / b)0.48498

Jensen alpha (a)0.16815
 Ratio statistics of excess log return rates
 Statistics related to Sharpe ratio

Mean0.52984

SD0.28092

Sharpe ratio (Glass type estimate)1.88608

Sharpe ratio (Hedges UMVUE)1.78289

df14.00000

t2.10870

p0.25451

Lowerbound of 95% confidence interval for Sharpe Ratio0.02750

Upperbound of 95% confidence interval for Sharpe Ratio3.74194

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0.09042

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation3.65619
 Statistics related to Sortino ratio

Sortino ratio7.47117

Upside Potential Ratio9.18042

Upside part of mean0.65106

Downside part of mean0.12122

Upside SD0.30335

Downside SD0.07092

N nonnegative terms10.00000

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

N of observations15.00000

Mean of predictor0.33609

Mean of criterion0.52984

SD of predictor0.08309

SD of criterion0.28092

Covariance0.00796

r0.34106

b (slope, estimate of beta)1.15315

a (intercept, estimate of alpha)0.14228

Mean Square Error0.07510

DF error13.00000

t(b)1.30816

p(b)0.28716

t(a)0.37002

p(a)0.43512

Lowerbound of 95% confidence interval for beta0.75123

Upperbound of 95% confidence interval for beta3.05753

Lowerbound of 95% confidence interval for alpha0.68842

Upperbound of 95% confidence interval for alpha0.97298

Treynor index (mean / b)0.45947

Jensen alpha (a)0.14228
 Risk estimates for a oneperiod unit investment (parametric)
 assuming log normal returns and losses (using central moments from Sharpe statistics)

VaR(95%)0.08537

Expected Shortfall on VaR0.11545
 assuming Pareto losses only (using partial moments from Sortino statistics)

VaR(95%)0.01746

Expected Shortfall on VaR0.03629
 ORDER STATISTICS
 Quartiles of return rates

Number of observations15.00000

Minimum0.94845

Quartile 10.99240

Median1.01821

Quartile 31.07398

Maximum1.21811

Mean of quarter 10.96754

Mean of quarter 21.00967

Mean of quarter 31.05361

Mean of quarter 41.17332

Inter Quartile Range0.08159

Number outliers low0.00000

Percentage of outliers low0.00000

Mean of outliers low0.00000

Number of outliers high2.00000

Percentage of outliers high0.13333

Mean of outliers high1.21741
 Risk estimates for a oneperiod unit investment (based on Ex

Extreme Value Index (moments method)16.90810

VaR(95%) (moments method)0.02138

Expected Shortfall (moments method)0.02138

Extreme Value Index (regression method)1.73212

VaR(95%) (regression method)0.06121

Expected Shortfall (regression method)0.06343
 DRAW DOWN STATISTICS
 Quartiles of draw downs

Number of observations5.00000

Minimum0.00728

Quartile 10.00793

Median0.02771

Quartile 30.04267

Maximum0.05155

Mean of quarter 10.00760

Mean of quarter 20.02771

Mean of quarter 30.04267

Mean of quarter 40.05155

Inter Quartile Range0.03475

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)0.80647

Compounded annual return (geometric extrapolation)0.74673

Calmar ratio (compounded annual return / max draw down)14.48600

Compounded annual return / average of 25% largest draw downs14.48600

Compounded annual return / Expected Shortfall lognormal6.46808

0.00000

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

Mean0.45718

SD0.18905

Sharpe ratio (Glass type estimate)2.41832

Sharpe ratio (Hedges UMVUE)2.41302

df343.00000

t2.77103

p0.00295

Lowerbound of 95% confidence interval for Sharpe Ratio0.69657

Upperbound of 95% confidence interval for Sharpe Ratio4.13664

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0.69303

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation4.13301
 Statistics related to Sortino ratio

Sortino ratio4.94486

Upside Potential Ratio12.82040

Upside part of mean1.18532

Downside part of mean0.72814

Upside SD0.16699

Downside SD0.09246

N nonnegative terms176.00000

N negative terms168.00000
 Statistics related to linear regression on benchmark

N of observations344.00000

Mean of predictor0.31923

Mean of criterion0.45718

SD of predictor0.16831

SD of criterion0.18905

Covariance0.00308

r0.09691

b (slope, estimate of beta)0.10885

a (intercept, estimate of alpha)0.42200

Mean Square Error0.03551

DF error342.00000

t(b)1.80073

p(b)0.03631

t(a)2.55126

p(a)0.00558

Lowerbound of 95% confidence interval for beta0.01005

Upperbound of 95% confidence interval for beta0.22775

Lowerbound of 95% confidence interval for alpha0.09675

Upperbound of 95% confidence interval for alpha0.74811

Treynor index (mean / b)4.19996

Jensen alpha (a)0.42243
 Ratio statistics of excess log return rates
 Statistics related to Sharpe ratio

Mean0.43926

SD0.18651

Sharpe ratio (Glass type estimate)2.35516

Sharpe ratio (Hedges UMVUE)2.35001

df343.00000

t2.69867

p0.00365

Lowerbound of 95% confidence interval for Sharpe Ratio0.63396

Upperbound of 95% confidence interval for Sharpe Ratio4.07304

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0.63051

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation4.06951
 Statistics related to Sortino ratio

Sortino ratio4.71167

Upside Potential Ratio12.56750

Upside part of mean1.17164

Downside part of mean0.73238

Upside SD0.16349

Downside SD0.09323

N nonnegative terms176.00000

N negative terms168.00000
 Statistics related to linear regression on benchmark

N of observations344.00000

Mean of predictor0.30483

Mean of criterion0.43926

SD of predictor0.16887

SD of criterion0.18651

Covariance0.00298

r0.09457

b (slope, estimate of beta)0.10445

a (intercept, estimate of alpha)0.40742

Mean Square Error0.03458

DF error342.00000

t(b)1.75683

p(b)0.03992

t(a)2.49515

p(a)0.00653

Lowerbound of 95% confidence interval for beta0.01249

Upperbound of 95% confidence interval for beta0.22139

Lowerbound of 95% confidence interval for alpha0.08625

Upperbound of 95% confidence interval for alpha0.72859

Treynor index (mean / b)4.20550

Jensen alpha (a)0.40742
 Risk estimates for a oneperiod unit investment (parametric)
 assuming log normal returns and losses (using central moments from Sharpe statistics)

VaR(95%)0.01713

Expected Shortfall on VaR0.02184
 assuming Pareto losses only (using partial moments from Sortino statistics)

VaR(95%)0.00631

Expected Shortfall on VaR0.01241
 ORDER STATISTICS
 Quartiles of return rates

Number of observations344.00000

Minimum0.96710

Quartile 10.99655

Median1.00030

Quartile 31.00533

Maximum1.08211

Mean of quarter 10.99043

Mean of quarter 20.99867

Mean of quarter 31.00283

Mean of quarter 41.01548

Inter Quartile Range0.00878

Number outliers low11.00000

Percentage of outliers low0.03198

Mean of outliers low0.97876

Number of outliers high18.00000

Percentage of outliers high0.05233

Mean of outliers high1.03547
 Risk estimates for a oneperiod unit investment (based on Ex

Extreme Value Index (moments method)0.07826

VaR(95%) (moments method)0.00859

Expected Shortfall (moments method)0.01230

Extreme Value Index (regression method)0.05896

VaR(95%) (regression method)0.00967

Expected Shortfall (regression method)0.01398
 DRAW DOWN STATISTICS
 Quartiles of draw downs

Number of observations23.00000

Minimum0.00035

Quartile 10.00276

Median0.01023

Quartile 30.02119

Maximum0.11564

Mean of quarter 10.00105

Mean of quarter 20.00625

Mean of quarter 30.01522

Mean of quarter 40.07373

Inter Quartile Range0.01842

Number outliers low0.00000

Percentage of outliers low0.00000

Mean of outliers low0.00000

Number of outliers high5.00000

Percentage of outliers high0.21739

Mean of outliers high0.08417
 Risk estimates based on draw downs (based on Extreme Value T

Extreme Value Index (moments method)6.59018

VaR(95%) (moments method)0.05409

Expected Shortfall (moments method)0.05409

Extreme Value Index (regression method)1.55391

VaR(95%) (regression method)0.10499

Expected Shortfall (regression method)0.10952
 COMBINED STATISTICS

Annualized return (arithmetic extrapolation)0.64484

Compounded annual return (geometric extrapolation)0.59547

Calmar ratio (compounded annual return / max draw down)5.14918

Compounded annual return / average of 25% largest draw downs8.07629

Compounded annual return / Expected Shortfall lognormal27.26490

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

Mean0.03603

SD0.14780

Sharpe ratio (Glass type estimate)0.24374

Sharpe ratio (Hedges UMVUE)0.24233

df130.00000

t0.17235

p0.50756

Lowerbound of 95% confidence interval for Sharpe Ratio3.01535

Upperbound of 95% confidence interval for Sharpe Ratio2.52859

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation3.01430

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation2.52963
 Statistics related to Sortino ratio

Sortino ratio0.33754

Upside Potential Ratio8.18853

Upside part of mean0.87396

Downside part of mean0.90998

Upside SD0.10145

Downside SD0.10673

N nonnegative terms61.00000

N negative terms70.00000
 Statistics related to linear regression on benchmark

N of observations131.00000

Mean of predictor0.23954

Mean of criterion0.03603

SD of predictor0.10886

SD of criterion0.14780

Covariance0.00323

r0.20090

b (slope, estimate of beta)0.27277

a (intercept, estimate of alpha)0.10137

Mean Square Error0.02113

DF error129.00000

t(b)2.32930

p(b)0.37297

t(a)0.48861

p(a)0.52735

Lowerbound of 95% confidence interval for beta0.04108

Upperbound of 95% confidence interval for beta0.50447

Lowerbound of 95% confidence interval for alpha0.51183

Upperbound of 95% confidence interval for alpha0.30910

Treynor index (mean / b)0.13207

Jensen alpha (a)0.10137
 Ratio statistics of excess log return rates
 Statistics related to Sharpe ratio

Mean0.04687

SD0.14790

Sharpe ratio (Glass type estimate)0.31692

Sharpe ratio (Hedges UMVUE)0.31509

df130.00000

t0.22410

p0.50982

Lowerbound of 95% confidence interval for Sharpe Ratio3.08839

Upperbound of 95% confidence interval for Sharpe Ratio2.45576

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation3.08716

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation2.45698
 Statistics related to Sortino ratio

Sortino ratio0.43567

Upside Potential Ratio8.07488

Upside part of mean0.86877

Downside part of mean0.91564

Upside SD0.10070

Downside SD0.10759

N nonnegative terms61.00000

N negative terms70.00000
 Statistics related to linear regression on benchmark

N of observations131.00000

Mean of predictor0.23353

Mean of criterion0.04687

SD of predictor0.10884

SD of criterion0.14790

Covariance0.00324

r0.20139

b (slope, estimate of beta)0.27366

a (intercept, estimate of alpha)0.11078

Mean Square Error0.02115

DF error129.00000

t(b)2.33519

p(b)0.37266

t(a)0.53393

p(a)0.52988

VAR (95 Confidence Intrvl)0.01700

Lowerbound of 95% confidence interval for beta0.04180

Upperbound of 95% confidence interval for beta0.50553

Lowerbound of 95% confidence interval for alpha0.52130

Upperbound of 95% confidence interval for alpha0.29973

Treynor index (mean / b)0.17128

Jensen alpha (a)0.11078
 Risk estimates for a oneperiod unit investment (parametric)
 assuming log normal returns and losses (using central moments from Sharpe statistics)

VaR(95%)0.01509

Expected Shortfall on VaR0.01884
 assuming Pareto losses only (using partial moments from Sortino statistics)

VaR(95%)0.00838

Expected Shortfall on VaR0.01559
 ORDER STATISTICS
 Quartiles of return rates

Number of observations131.00000

Minimum0.97447

Quartile 10.99560

Median0.99986

Quartile 31.00523

Maximum1.02259

Mean of quarter 10.98840

Mean of quarter 20.99804

Mean of quarter 31.00220

Mean of quarter 41.01130

Inter Quartile Range0.00963

Number outliers low3.00000

Percentage of outliers low0.02290

Mean of outliers low0.97754

Number of outliers high1.00000

Percentage of outliers high0.00763

Mean of outliers high1.02259
 Risk estimates for a oneperiod unit investment (based on Ex

Extreme Value Index (moments method)0.46973

VaR(95%) (moments method)0.01083

Expected Shortfall (moments method)0.01268

Extreme Value Index (regression method)0.38760

VaR(95%) (regression method)0.01189

Expected Shortfall (regression method)0.01429
 DRAW DOWN STATISTICS
 Quartiles of draw downs

Number of observations9.00000

Minimum0.00071

Quartile 10.00523

Median0.01023

Quartile 30.01442

Maximum0.11564

Mean of quarter 10.00319

Mean of quarter 20.00906

Mean of quarter 30.01258

Mean of quarter 40.11265

Inter Quartile Range0.00919

Number outliers low0.00000

Percentage of outliers low0.00000

Mean of outliers low0.00000

Number of outliers high2.00000

Percentage of outliers high0.22222

Mean of outliers high0.11265
 Risk estimates based on draw downs (based on Extreme Value T

Extreme Value Index (moments method)2983.39000

VaR(95%) (moments method)0.04406

Expected Shortfall (moments method)0.00000

Extreme Value Index (regression method)4.99060

VaR(95%) (regression method)0.30310

Last 4 Months  Pcnt Negative0.50%

Expected Shortfall (regression method)0.30313

Strat Max DD how much worse than SP500 max DD during strat life?345865000

Max Equity Drawdown (num days)52
 COMBINED STATISTICS

Annualized return (arithmetic extrapolation)0.01888

Compounded annual return (geometric extrapolation)0.01879

Calmar ratio (compounded annual return / max draw down)0.16246

Compounded annual return / average of 25% largest draw downs0.16679

Compounded annual return / Expected Shortfall lognormal0.99716
Strategy Description
Commodities are volatile and the contract sizes are large, and as a result, the recommended minimum account size is $50,000. The trading focus is on metals, energies, softs, grains., emini NASDAQ, and FX Euro.
The protective stops are usually 2ATR, but sometimes they can be as much as 4ATR. In any case we try to keep the protective stops to a maximum of $5,000. Based on volatility, as of October 5, 2020, most commodities have a protective stop between $1,000 to $3,000. As an example, gold (GC) currently has a volatility of about $1,500 per day, so a protective stop of 2ATR would result in a $3,000 stop.
A $3,000 loss on a $50,000 account would result in a 6% drawdown. It would be easy to lose two trades in a row, and that would already be a drawdown of 12%. So, keeping in mind how easy it is to have big drawdowns in futures trading, it is advised to use a larger beginning account size and not a smaller one. When a trade starts to move in our favor, depending on the price patterns, the risk is reduced by tightening the stops.
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.