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Pangolin D

Created by: KevinMcGrath2 KevinMcGrath2
Started: 04/2013
Last trade: 2,137 days ago

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No subscriptions are currently available for this strategy because the strategy manager has capped the maximum number of subscribers.

Subscription terms. You can subscribe to this system for free.


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.

Cumul. Return

Rate of Return Calculations


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 marked-to-market equity calculations.

All results are hypothetical.

Max Drawdown
Num Trades
Win Trades
1.4 : 1
Profit Factor
Win Months
Hypothetical Monthly Returns (includes system fee and Typical Broker commissions and fees)
2013                     +4.0%+0.5%+0.8%+1.3%(6.4%)+3.0%+0.5%  -    -  +3.4%
2014  -    -    -    -    -    -    -    -    -    -    -    -  0.0
2015  -    -    -    -    -    -    -    -    -    -    -    -  0.0
2016  -    -    -    -    -    -    -    -    -    -    -    -  0.0
2017  -    -    -    -    -    -    -    -    -    -    -    -  0.0
2018  -    -    -    -    -    -    -    -    -    -    -    -  0.0
2019  -    -    -    -    -    -    -                          0.0

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.

Trading Record

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Opened Date/TimeSymbolDescriptionSideQtyAvg PriceClosed Date/TimeAvg PriceDrawdownP/L
9/23/13 9:30 SPY SPDR S&P 500 LONG 150 168.70 10/11 9:31 168.91 2.46%
Trade id #83085602
Max drawdown($625)
Time10/9/13 11:24
Quant open150
Worst price164.53
Drawdown as % of equity-2.46%
Includes Typical Broker Commissions trade costs of $3.00
8/28/13 9:31 SPY SPDR S&P 500 LONG 150 163.26 9/12 9:30 169.34 0.13%
Trade id #82742201
Max drawdown($31)
Time8/28/13 9:37
Quant open150
Worst price163.05
Drawdown as % of equity-0.13%
Includes Typical Broker Commissions trade costs of $3.00
8/6/13 9:30 SPY SPDR S&P 500 LONG 316 169.73 8/27 15:34 163.32 8.09%
Trade id #82377922
Max drawdown($2,042)
Time8/27/13 15:34
Quant open316
Worst price163.27
Drawdown as % of equity-8.09%
Includes Typical Broker Commissions trade costs of $6.32
7/25/13 9:30 SPY SPDR S&P 500 LONG 160 168.42 8/5 9:30 170.38 0.28%
Trade id #82185061
Max drawdown($74)
Time7/26/13 10:56
Quant open112
Worst price167.52
Drawdown as % of equity-0.28%
Includes Typical Broker Commissions trade costs of $3.20
7/22/13 9:30 SPY SPDR S&P 500 LONG 64 169.41 7/23 9:30 169.80 0.1%
Trade id #82110121
Max drawdown($25)
Time7/22/13 10:03
Quant open64
Worst price169.01
Drawdown as % of equity-0.10%
Includes Typical Broker Commissions trade costs of $1.28
7/17/13 9:30 SPY SPDR S&P 500 LONG 64 168.24 7/19 9:30 168.52 0.05%
Trade id #82035055
Max drawdown($13)
Time7/17/13 15:35
Quant open32
Worst price167.73
Drawdown as % of equity-0.05%
Includes Typical Broker Commissions trade costs of $1.28
6/20/13 9:30 SPY SPDR S&P 500 LONG 62 161.87 7/8 9:30 163.92 1.45%
Trade id #81612180
Max drawdown($380)
Time6/24/13 12:21
Quant open62
Worst price155.73
Drawdown as % of equity-1.45%
Includes Typical Broker Commissions trade costs of $1.24
5/17/13 9:30 SPY SPDR S&P 500 LONG 320 164.90 6/19 9:30 165.72 5.31%
Trade id #80939619
Max drawdown($1,338)
Time6/6/13 12:28
Quant open288
Worst price160.25
Drawdown as % of equity-5.31%
Includes Typical Broker Commissions trade costs of $6.40
5/14/13 9:30 SPY SPDR S&P 500 LONG 32 163.67 5/16 9:30 165.78 n/a $67
Includes Typical Broker Commissions trade costs of $0.64
4/15/13 9:30 SPY SPDR S&P 500 LONG 285 156.17 5/3 9:30 160.12 2.91%
Trade id #80231885
Max drawdown($717)
Time4/18/13 14:59
Quant open253
Worst price153.55
Drawdown as % of equity-2.91%
Includes Typical Broker Commissions trade costs of $5.70


  • Strategy began
  • Suggested Minimum Cap
  • Strategy Age (days)
  • Age
    77 months ago
  • What it trades
  • # Trades
  • # Profitable
  • % Profitable
  • Avg trade duration
    13.9 days
  • Max peak-to-valley drawdown
  • drawdown period
    Aug 08, 2013 - Aug 28, 2013
  • Cumul. Return
  • Avg win
  • Avg loss
  • Model Account Values (Raw)
  • Cash
  • Margin Used
  • Buying Power
  • Ratios
  • W:L ratio
  • Sharpe Ratio
  • Sortino Ratio
  • Calmar Ratio
  • Correlation to SP500
  • Return Statistics
  • Ann Return (w trading costs)
  • Ann Return (Compnd, No Fees)
  • Risk of Ruin (Monte-Carlo)
  • Chance of 10% account loss
  • Chance of 20% account loss
  • Chance of 30% account loss
  • Chance of 40% account loss
  • Chance of 50% account loss
  • Trades-Own-System Certification
  • Trades Own System?
  • TOS percent
  • Win / Loss
  • Avg Win
  • Avg Loss
  • # Winners
  • # Losers
  • % Winners
  • Frequency
  • Avg Position Time (mins)
  • Avg Position Time (hrs)
  • Avg Trade Length
    13.9 days
  • Last Trade Ago
  • Regression
  • Alpha
  • Beta
  • Treynor Index
  • Maximum Adverse Excursion (MAE)
  • Avg(MAE) / Avg(PL) - All trades
  • Avg(MAE) / Avg(PL) - Winning trades
  • Avg(MAE) / Avg(PL) - Losing trades
  • Hold-and-Hope Ratio
  • Analysis based on DAILY values, full history
  • Ratio statistics of excess return rates
  • Statistics related to linear regression on benchmark
  • a (intercept, estimate of alpha)

Strategy Description

This system uses short-term divergences between technical indicators and price to enter positions on the S&P 500 Index. This system uses SPY as a proxy for the index, but should also work as well on leverged ETFs, E-mini futures or options. When divergences occur within the ^SPX the system enters a long position on SPY. The system is in reality a set of 10 different divergence filters, each managing a separate trade on the ^SPX. Trades are held as long as a divergence is still in play. Exits are based solely on price action.

Summary Statistics

Strategy began
Suggested Minimum Capital
# Trades
# Profitable
% Profitable
Net Dividends
Correlation S&P500
Sharpe Ratio
Sortino Ratio

Latest Activity

subscribed on started simulation #SUBSCRIBEDDATE#

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 under-or over-compensated 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 re-scaled downward to make current go-forward 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 per-trade 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.