Buffalo Q
(136878061)
Subscription terms. Subscriptions to this system cost $50.00 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.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  

2021  +14.7%  (10.3%)  +28.0%  +5.6%  (0.2%)  +38.8%  
2022  (22.2%)  (22.2%) 
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  $24,802  
Cash  $1  
Equity  $1  
Cumulative $  $3,835  
Includes dividends and cashsettled expirations:  $181  Itemized 
Total System Equity  $53,835  
Margined  $1  
Open P/L  ($1,524)  
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 began8/9/2021

Suggested Minimum Cap$15,000

Strategy Age (days)171.2

Age171 days ago

What it tradesStocks

# Trades29

# Profitable16

% Profitable55.20%

Avg trade duration42.8 days

Max peaktovalley drawdown26.48%

drawdown periodJan 04, 2022  Jan 27, 2022

Cumul. Return7.9%

Avg win$1,272

Avg loss$1,285
 Model Account Values (Raw)

Cash$33,377

Margin Used$0

Buying Power$24,802
 Ratios

W:L ratio1.24:1

Sharpe Ratio0.6

Sortino Ratio0.86

Calmar Ratio1.013
 CORRELATION STATISTICS

Return of Strat Pcnt  Return of SP500 Pcnt (cumu)8.46%

Correlation to SP5000.61960

Return Percent SP500 (cumu) during strategy life1.86%
 Return Statistics

Ann Return (w trading costs)17.2%
 Slump

Current Slump as Pcnt Equity35.20%
 Instruments

Percent Trades Futuresn/a
 Slump

Current Slump, time of slump as pcnt of strategy life0.14%
 Instruments

Short Options  Percent Covered100.00%
 Return Statistics

Return Pcnt (Compound or Annual, agebased, NFA compliant)0.079%
 Instruments

Percent Trades Optionsn/a

Percent Trades Stocks1.00%

Percent Trades Forexn/a
 Return Statistics

Ann Return (Compnd, No Fees)19.9%
 Risk of Ruin (MonteCarlo)

Chance of 10% account loss50.00%

Chance of 20% account loss7.50%

Chance of 30% account loss0.50%

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)552

Popularity (Last 6 weeks)922
 Trading Style

Any stock shorts? 0/10
 Popularity

C2 Score258

Popularity (7 days, Percentile 1000 scale)599
 Management

No Subs Allowed Flag (1: no subs)0

Strat abandoned?0
 TradesOwnSystem Certification

Trades Own System?

TOS percentn/a
 Win / Loss

Avg Loss$1,236

Avg Win$1,272

Sum Trade PL (losers)$16,069.000
 Age

Num Months filled monthly returns table6
 Win / Loss

Sum Trade PL (winners)$20,360.000

# Winners16

Num Months Winners3
 Dividends

Dividends Received in Model Acct182
 Win / Loss

# Losers13

% Winners55.2%
 Frequency

Avg Position Time (mins)61586.20

Avg Position Time (hrs)1026.44

Avg Trade Length42.8 days

Last Trade Ago14
 Leverage

Daily leverage (average)1.36

Daily leverage (max)2.08
 Regression

Alpha0.07

Beta1.47

Treynor Index0.04
 Maximum Adverse Excursion (MAE)

MAE:Equity, average, all trades0.02

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 trades0.01

MAE:Equity, average, losing trades0.03

Avg(MAE) / Avg(PL)  All trades5.920

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 strat0.03

Avg(MAE) / Avg(PL)  Winning trades0.410

Avg(MAE) / Avg(PL)  Losing trades1.174

HoldandHope Ratio0.160
 Analysis based on MONTHLY values, full history
 RATIO STATISTICS
 Ratio statistics of excess return rates
 Statistics related to Sharpe ratio

Mean0.82956

SD0.62553

Sharpe ratio (Glass type estimate)1.32617

Sharpe ratio (Hedges UMVUE)1.05813

df4.00000

t0.85604

p0.22011

Lowerbound of 95% confidence interval for Sharpe Ratio1.90983

Upperbound of 95% confidence interval for Sharpe Ratio4.41673

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation2.06551

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation4.18177
 Statistics related to Sortino ratio

Sortino ratio4.23776

Upside Potential Ratio6.42431

Upside part of mean1.25758

Downside part of mean0.42803

Upside SD0.57624

Downside SD0.19575

N nonnegative terms3.00000

N negative terms2.00000
 Statistics related to linear regression on benchmark

N of observations5.00000

Mean of predictor0.13546

Mean of criterion0.82956

SD of predictor0.12198

SD of criterion0.62553

Covariance0.07367

r0.96554

b (slope, estimate of beta)4.95145

a (intercept, estimate of alpha)0.15884

Mean Square Error0.03534

DF error3.00000

t(b)6.42578

p(b)0.00382

t(a)0.51343

p(a)0.32153

Lowerbound of 95% confidence interval for beta2.49918

Upperbound of 95% confidence interval for beta7.40371

Lowerbound of 95% confidence interval for alpha0.82570

Upperbound of 95% confidence interval for alpha1.14338

Treynor index (mean / b)0.16754

Jensen alpha (a)0.15884
 Ratio statistics of excess log return rates
 Statistics related to Sharpe ratio

Mean0.67013

SD0.56929

Sharpe ratio (Glass type estimate)1.17714

Sharpe ratio (Hedges UMVUE)0.93922

df4.00000

t0.75984

p0.24483

Lowerbound of 95% confidence interval for Sharpe Ratio2.02538

Upperbound of 95% confidence interval for Sharpe Ratio4.24822

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation2.16611

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation4.04455
 Statistics related to Sortino ratio

Sortino ratio3.26702

Upside Potential Ratio5.45315

Upside part of mean1.11855

Downside part of mean0.44842

Upside SD0.50460

Downside SD0.20512

N nonnegative terms3.00000

N negative terms2.00000
 Statistics related to linear regression on benchmark

N of observations5.00000

Mean of predictor0.12896

Mean of criterion0.67013

SD of predictor0.11939

SD of criterion0.56929

Covariance0.06512

r0.95810

b (slope, estimate of beta)4.56850

a (intercept, estimate of alpha)0.08098

Mean Square Error0.03545

DF error3.00000

t(b)5.79397

p(b)0.00511

t(a)0.26215

p(a)0.40509

Lowerbound of 95% confidence interval for beta2.05916

Upperbound of 95% confidence interval for beta7.07784

Lowerbound of 95% confidence interval for alpha0.90206

Upperbound of 95% confidence interval for alpha1.06401

Treynor index (mean / b)0.14669

Jensen alpha (a)0.08098
 Risk estimates for a oneperiod unit investment (parametric)
 assuming log normal returns and losses (using central moments from Sharpe statistics)

VaR(95%)0.19303

Expected Shortfall on VaR0.24522
 assuming Pareto losses only (using partial moments from Sortino statistics)

VaR(95%)0.07386

Expected Shortfall on VaR0.12453
 ORDER STATISTICS
 Quartiles of return rates

Number of observations5.00000

Minimum0.90521

Quartile 10.91645

Median1.03018

Quartile 31.15882

Maximum1.33500

Mean of quarter 10.91083

Mean of quarter 21.03018

Mean of quarter 31.15882

Mean of quarter 41.33500

Inter Quartile Range0.24237

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 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)0.00000

VaR(95%) (regression method)0.00000

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

Number of observations2.00000

Minimum0.08355

Quartile 10.08636

Median0.08917

Quartile 30.09198

Maximum0.09479

Mean of quarter 10.08355

Mean of quarter 20.00000

Mean of quarter 30.00000

Mean of quarter 40.09479

Inter Quartile Range0.00562

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)0.77304

Compounded annual return (geometric extrapolation)0.95449

Calmar ratio (compounded annual return / max draw down)10.06950

Compounded annual return / average of 25% largest draw downs10.06950

Compounded annual return / Expected Shortfall lognormal3.89239

0.00000

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

Mean0.26966

SD0.32622

Sharpe ratio (Glass type estimate)0.82663

Sharpe ratio (Hedges UMVUE)0.82154

df122.00000

t0.56639

p0.47440

Lowerbound of 95% confidence interval for Sharpe Ratio2.03745

Upperbound of 95% confidence interval for Sharpe Ratio3.68736

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation2.04085

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation3.68392
 Statistics related to Sortino ratio

Sortino ratio1.20983

Upside Potential Ratio10.07180

Upside part of mean2.24492

Downside part of mean1.97526

Upside SD0.23696

Downside SD0.22289

N nonnegative terms63.00000

N negative terms60.00000
 Statistics related to linear regression on benchmark

N of observations123.00000

Mean of predictor0.00259

Mean of criterion0.26966

SD of predictor0.13775

SD of criterion0.32622

Covariance0.02809

r0.62499

b (slope, estimate of beta)1.48007

a (intercept, estimate of alpha)0.27300

Mean Square Error0.06539

DF error121.00000

t(b)8.80675

p(b)0.12981

t(a)0.73284

p(a)0.45771

Lowerbound of 95% confidence interval for beta1.14735

Upperbound of 95% confidence interval for beta1.81279

Lowerbound of 95% confidence interval for alpha0.46536

Upperbound of 95% confidence interval for alpha1.01235

Treynor index (mean / b)0.18219

Jensen alpha (a)0.27349
 Ratio statistics of excess log return rates
 Statistics related to Sharpe ratio

Mean0.21677

SD0.32628

Sharpe ratio (Glass type estimate)0.66438

Sharpe ratio (Hedges UMVUE)0.66028

df122.00000

t0.45521

p0.47941

Lowerbound of 95% confidence interval for Sharpe Ratio2.19865

Upperbound of 95% confidence interval for Sharpe Ratio3.52483

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation2.20144

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation3.52201
 Statistics related to Sortino ratio

Sortino ratio0.95652

Upside Potential Ratio9.78457

Upside part of mean2.21743

Downside part of mean2.00066

Upside SD0.23327

Downside SD0.22662

N nonnegative terms63.00000

N negative terms60.00000
 Statistics related to linear regression on benchmark

N of observations123.00000

Mean of predictor0.01202

Mean of criterion0.21677

SD of predictor0.13795

SD of criterion0.32628

Covariance0.02819

r0.62619

b (slope, estimate of beta)1.48104

a (intercept, estimate of alpha)0.23457

Mean Square Error0.06525

DF error121.00000

t(b)8.83467

p(b)0.12921

t(a)0.62920

p(a)0.46366

Lowerbound of 95% confidence interval for beta1.14915

Upperbound of 95% confidence interval for beta1.81292

Lowerbound of 95% confidence interval for alpha0.50351

Upperbound of 95% confidence interval for alpha0.97266

Treynor index (mean / b)0.14636

Jensen alpha (a)0.23457
 Risk estimates for a oneperiod unit investment (parametric)
 assuming log normal returns and losses (using central moments from Sharpe statistics)

VaR(95%)0.03181

Expected Shortfall on VaR0.03991
 assuming Pareto losses only (using partial moments from Sortino statistics)

VaR(95%)0.01729

Expected Shortfall on VaR0.03175
 ORDER STATISTICS
 Quartiles of return rates

Number of observations123.00000

Minimum0.94752

Quartile 10.98741

Median1.00194

Quartile 31.01452

Maximum1.05132

Mean of quarter 10.97578

Mean of quarter 20.99438

Mean of quarter 31.00839

Mean of quarter 41.02581

Inter Quartile Range0.02711

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 for a oneperiod unit investment (based on Ex

Extreme Value Index (moments method)0.14842

VaR(95%) (moments method)0.02571

Expected Shortfall (moments method)0.03642

Extreme Value Index (regression method)0.06854

VaR(95%) (regression method)0.02204

Expected Shortfall (regression method)0.02854
 DRAW DOWN STATISTICS
 Quartiles of draw downs

Number of observations7.00000

Minimum0.00143

Quartile 10.00262

Median0.03149

Quartile 30.09400

Maximum0.23885

Mean of quarter 10.00198

Mean of quarter 20.01710

Mean of quarter 30.03272

Mean of quarter 40.19707

Inter Quartile Range0.09138

Number outliers low0.00000

Percentage of outliers low0.00000

Mean of outliers low0.00000

Number of outliers high1.00000

Percentage of outliers high0.14286

Mean of outliers high0.23885
 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)0.22819

Compounded annual return (geometric extrapolation)0.24206

Calmar ratio (compounded annual return / max draw down)1.01344

Compounded annual return / average of 25% largest draw downs1.22831

Compounded annual return / Expected Shortfall lognormal6.06578
 Analysis based on DAILY values, last 6 months only
 RATIO STATISTICS
 Ratio statistics of excess log return rates
 Statistics related to linear regression on benchmark

VAR (95 Confidence Intrvl)0.03200
 DRAW DOWN STATISTICS
 Risk estimates based on draw downs (based on Extreme Value T
 assuming Pareto losses only (using partial moments from Sortino statistics)

Last 4 Months  Pcnt Negative0.50%

Strat Max DD how much worse than SP500 max DD during strat life?294107000

Max Equity Drawdown (num days)23
Strategy Description
****It is FREE to add this strategy to your Watch List or to start Simulate.
If you have questions about my strategy, feel free to reach me out by email buffaloasset@gmail.com.

Main difference between our two strategies
………………..............…………...Buffalo………….........……Buffalo Q...............
Focus:…………...........…………US largecap stocks…..US tech stocks.....
Equity holding:………….......10 to 20…………......……5 to 10...................
Average trade per month:9..…………..........………….5.............................
Average holding time:…....1.5 month……….....…….1.5 month.............
Average leverage:………......1.3…………………..........…1.4..........................
Return:....…………………….....Moderate……….....……..High.......................
Risk:....……………….........…….Moderate……….....……..High.......................

****Description of strategy "Buffalo Q" ****
Although this strategy only deployed on Colletive2 in August 2021, I have been backtesting, optimising, and tracking realtime performance of this model for years. I saw promising results. I know it is weak to say how good our strategy is without having a Collective2 solid tracking record. You may want to wait for six months or more before subscription. However, if you are reading, add this strategy to your Watch List or start Simulate, it is free to do so. Track it for six months and see the result.
1. Summary
This strategy focuses on technology section and holds companies that have the most upward momentum.
2. Objective
To achieve an outsized return higher than SPX500 over the long term, with a lower maximum drawback.
3. System description
The theory behind this model is momentum. Stocks that have risen in the past tend to keep rising. Stocks that have done poorly tend to keep falling. Stocks that have the most upward momentum beat the market.
This strategy is fully algorithm based. It uses a diverse set of factors and multiple performance windows to rank assets from an asset pool. It only holds the top bestperforming assets. The performance of each asset will be reviewed monthly. Generally, changes in asset allocation happen once a month especially on the last trading day of each month. At the time when there is no asset meeting its criteria, it simply holds cash.
To ensure best performance and avoid lack of liquidity, our asset pool is composed of carefully selected mediumlarge US stocks, index ETFs and Bond ETFs.
4. Key Features:
Fully algorithm based
Designed to scale up
Average 1.5 months holding time
Average 6 trades each month
Mediumlarge stocks and ETFs only strategy
Longonly strategy
AutoTrade (recommended, hasslefree) or manual.
Sophisticated risk management
5. Risk management
The following defensive strategy is used to protecting profits.
a. Hold and be patient. Keep a close eye on the market.
b. Close risky positions.
c. Reduce leverage
d. Add hedges to the portfolio, including Inverse ETFs and Bond ETFs.
Stop Loss is used and will be updated regularly as well.
********************************************************************************************************
FAQs
1. Should I copy open trades?
Yes
2. What is the minimum amount I should copy?
For AutoTraders, the recommended minimum amount is $20000 otherwise you may not 100% copy all my trades. Why? First, some stocks are not cheap. e.g. AMZN $3300/share, GOOGL $2800/share. Second, C2 AutoTrade rounds down fractions.
For manual traders, if your broker has fractional trading available, a minimum amount of $1000 will do, otherwise recommended minimum amount is $20000.
3. When is the best time to start copying?
The best time is now. You have to enter the market, in order to beat the market. As a longterm investor, the daily movements in markets will ultimately have a marginal effect on your returns.
4. Does this system need to be AutoTraded?
AutoTrade is recommended, hasslefree.
Manual trading also works.
As we know that AutoTrade is not supported by all brokers, you can copy my positions manually. Signals will be sent by C2 systemgenerated emails at the same time when I enter/close positions. You could simply copy my trade at market price. It is been backtested that there is not much difference in returns between trading by using end of day price and trading by using the next day open price. Manual trading may have a little advantage which is you could 100% copy my portfolio if your broker has fractional trading available. Why? Because C2 AutoTrade rounds down fractions.
For manual traders, make sure you have C2 signal alerts turned on. Refer to https://support.collective2.com/hc/enus/articles/115013734467CanIreceiverealtimesignalalerts
5. Do you short stocks?
No.
6. Do you use leverage?
Yes, average 1.5 leverage
7. Do you use Stops?
Yes, our strategy has a 20% Stop Loss at portfolio level, and will be updated regularly.
8. How do I set up Auto Stop Loss?
Choose "No custom stop loss. Follow strategy rules." (Recommended)
If you want to set up a custom stop loss, make it as more than 30% of every position. A stoploss that is too small pretty much guarantees you to sell at the worst time possible. We use inverse ETFs and bond ETFs to protect our positions when necessary. Follow our strategy rules. Don't panic sell. The last thing you want is for your positions to be sold when the market crashes.
9. Which account type should I have?
Your account must have permission to trade stocks (Long) and ETF(Long). We may buy inverse ETFs (e.g. SH, PSQ) to hedge against market crashes but we DO NOT short stocks.
1). Margin account is recommended. (Recommend 100% AutoTrade Scaling)
2). Nonmargin account including Cash account, Individual Retirement Account (IRA) or SelfManaged Superannuation Fund account (SMSF) also works. HOWEVER, as we know, these accounts don't allow you to borrow funds. As my strategy uses an average 1.5X leverage, please set your AutoTrade Scaling as 60% or under, otherwise, you may not copy all my positions or you may exceed your account limit.
10. How much scaling should I use?
1). For margin account holders, recommended Scaling= (the amount you wish to allocate / my model account equity)*100%.
Example:
Strategy’s current Model Account equity is $50,000.
You wish to allocate $40,000 to my strategy.
You might consider doing the following: set your AutoTrade Scaling to 80% = 40000/50000*100%.
2). For nonmargin account holders, recommended Scaling= (the amount you wish to allocate / my model account equity)*100%*60%.
Our strategy uses 1.5x leverage, you cannot borrow funds and you do not want to exceed your account limit.
Example:
Strategy’s current Model Account equity is $50,000.
You wish to allocate $40,000 to my strategy.
You might consider doing the following: set your AutoTrade Scaling to 48% = (40000/50000)*100%*60%.
About Scaling, refer to https://support.collective2.com/hc/enus/articles/115008510008AutoTradeSettingScalingHowbigorsmallshouldImakemyscaling
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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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.