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R2000 Timer

Stocks · Started Jul 2010

hypothetical · Annual Return (Compounded)
15.8%
Max Drawdown
73.7%
Trades
14
Win Trades
57.1%
Profit Factor
16
Win Months
59.3%

About this strategy

The trading system uses a computer algorithm to determine whether to take a Long (Buy) or Short (Sell) position in the Russell 2000 index.

On Buy signals it buys a positively correlated index ETF (like UWM). On Sell signals it buys a negatively correlated (or inverse) index ETF (like RWM or TWM).

Trading signals are usually sent by 6:30 am eastern time, giving you at least 3 hours to place your trades before market open at 9:30 am.

Unlike a lot of other systems, all the Buys and Sells conveniently take place at market open. This eliminates the need to constantly monitor your e-mail during the day.

The R2000 Timer is a proven investment system designed for serious, long-term investors for accumulating and preserving wealth through smart investing.

Remember, at 36% compounded annual return, $100,000 grows to $2,164,656 in just 10 years. The 36% annualized return is obviously not a guarantee but a goal for the R2000 Timer.

But to reap the rewards, it's important for you to stick with the program through all the inevitable ups and downs that are endemic in the stock market. The R2000 Timer is designed to protect your portfolio from large drops and drawdowns that occur due to bear markets.

However, it is not supposed to catch every small twist and turn in the market. So there will be times when the portfolio drops suddenly before its self-adaptive approach kicks in. That is why its important for you to be mentally prepared and be able to live through a 15-20% temporary drawdown, without abandoning the program at the worst possible time.

The R2000 Timer is suitable for aggressive investors looking for high reward by taking higher risk. However moderate and conservative investors may also use it by using proper position sizing, as explained below.

MANUAL TRADING
-------------------------
Let's assume that you start with an account size of $10,000 that you've decided to allocate to the R2000 Timer system.

First, take a look at the Model Account Status in the lower right corner of the R2000 Timer system page -- http://r2000timer.collective2.com -- and make a note of the Total System Equity value.

Now divide the dollar amount you have allocated to this investment strategy ($10,000 in the example above) by the total system equity. For example, lets assume that the current total system equity is $15,000. Dividing $10,000 by $15,000, we get 0.66. That's your initial factor.

AGRESSIVE INVESTORS -- Multiply the number of shares we are holding in the portfolio for UWM by your initial factor (0.66 in the example above). So, if we are holding 500 shares of UWM in the portfolio, you will multiply it by 0.66 to get 330 shares.

MODERATE INVESTORS -- Take the initial factor and multiply it by 0.75. If your initial factor, as shown in the example above was 0.66, you'll multiply it by 0.75 to get your final factor, which is 0.495. So, if we are holding 500 shares of UWM in the portfolio, you will multiply it by 0.495 to get 247 shares.

CONSERVATIVE INVESTORS -- Take the initial factor and multiply it by 0.5. If your initial factor, as shown in the example above, was 0.66, you'll multiply it by 0.5 to get your final factor, which is 0.33. So, if we are holding 500 shares of UWM in the portfolio, you will multiply it by 0.33 to get 165 shares.


Auto-trading may be employed to make it even more easier to trade this system. See https://r2000timer.collective2.com/static/aboutAutoTrade.htm for details

AUTO TRADING
--------------------
To determine your scaling, follow these simple steps.

1. Take a look at the Model Account Status in the lower right corner of the R2000 Timer system page and make a note of the Total System Equity value.

2. Now divide the dollar amount you have allocated to this investment strategy (for example $10,000) and divide it by the total system equity. Assuming that the current total system equity is $15,000, dividing $10,000 by $15,000, we get 0.66. That's your factor.

3. (a) Aggressive investors should multiply their factor (0.66 in the above example) by 100 to get their scaling, which comes to 66% in this case. So you'll enter 66 in the first box and leave the second box blank when setting up AutoTrading.

(b) Moderate investors should multiply their factor (0.66 in the above example) by 75 to get their scaling, which comes to 49% in this case. So you'll enter 49 in the first box and leave the second box blank when setting up AutoTrading.

(c) Conservative investors should multiply their factor (0.66 in the above example) by 60 to get their scaling, which comes to 33% in this case. So you'll enter 33 in the first box and leave the second box blank when setting up AutoTrading.

Got Questions? Send them to us at support@r2000timer.com

Roger Williams
Editor, R2000 Timer
www.R2000Timer.com
Wealthquest International Inc.

P.S. Get your FREE Weekly Wealth Letter membership at http://WeeklyWealthLetter.com

P.P.S. If you see a "charge" in your credit card online account, please rest assured that it is just a "pre-authorization" that Collective2 -- our billing and trade tracking service -- has obtained from your credit card company. Your credit card will not be billed till the trial period is over. Please read a note about credit card pre-authorization from the founder of Collective2 below.


What is a Credit Card Pre-Authorization?
----------------------------------------------------------
Sometimes, alarmed customers call us and say, "Why have you charged my credit card? I subscribed to a free trial period, and I shouldn't be billed yet!"

Here's the answer: Don't worry. We did not bill your credit card. We simply asked your credit card company for a "pre-authorization."

Let me explain. Nowadays, credit card companies make it very difficult for both the customers who use their credit cards, and for the companies (like Collective2) that accept credit cards.

In order to prevent onerous credit card fees, Collective2 (and most Internet companies) are forced to do a "pre-authorization" of credit cards. That means, before we allow a free trial period, we electronically contact your credit card company, and say to them: "Customer John Doe claims that he is the owner of the following credit card number: 123456. If he chooses to pay for a subscription at the end of a free trial, and if we bill him for $X dollars, will you accept that charge?" Your credit card company / bank responds with a simple yes or no. That's a "pre-authorization."

Here's what's important. That is *not* a charge on your card. If you allow your free trial period to elapse, or you choose not to subscribe to the trading system, NO CHARGE IS MADE. Instead, the "pre-auth" disappears.

If you have any doubt, feel free to speak to your bank or credit card company on the telephone and ask them about the transaction which concerns you. They will confirm that no charge has taken place, but rather that Collective2 asked for a non-charge "pre-authorization."

Hopefully, this explanation has answered your question. However, we understand how sensitive the entire subject of credit card transactions can be. Your trust and confidence in Collective2 is crucial for our business to survive. Therefore, if you have any questions whatsoever, don't hesitate to contact us.

Sincerely,
Matthew Klein
Founder, Collective2 LLC
E-mail : help@collective2.com

Hypothetical Monthly Returns (includes fees/commissions)

YearJanFebMarAprMayJunJulAugSepOctNovDecYTD
20106.1-16.022.35.76.423.952.1
2011-0.36.0-1.0-4.17.9-9.6-2.914.5-42.132.2-24.512.8-29.1
201220.910.62.5-5.2-24.124.4-5.09.38.0-6.92.19.643.3
201316.51.810.0-2.814.6-3.219.4-7.414.29.13.65.8112.2
2014-6.410.9-2.1-10.22.913.8-15.613.6-17.219.00.19.310.4
2015-8.412.62.4-5.74.80.5-1.9-13.5-12.313.18.7-12.7-16.2
2016-19.5-0.918.14.12.0-2.018.34.51.4-11.128.54.847.0
20171.93.7-3.54.3-0.52.83.0-6.416.22.25.2-1.329.3
20185.3-2.5-4.33.413.1-1.02.58.7-4.2-25.40.1-22.1-29.5
201926.413.8-5.66.9-1.10.0-12.115.4-2.110.45.757.0
2020-1.2-22.2-48.028.115.6-6.316.914.6-13.919.130.219.118.0
202113.78.44.64.1-3.36.0-9.97.1-6.96.73.0-7.925.0
2022-21.73.13.5-21.02.8-19.520.7-7.4-16.620.71.7-16.4-47.7
202320.8-0.6-17.05.2-2.65.420.1-10.4-12.8-16.018.533.734.5
2024-11.09.43.1-9.46.8-4.06.010.8-0.6-1.718.4-14.28.8
20255.1-11.8-10.4-13.514.46.76.310.34.89.2-4.97.119.9
20267.00.2-13.025.39.62.9-4.12.4-4.723.4

Statistics

Overview

Strategy began7/23/2010
Suggested Minimum Capital$10,000
Age196 months
What it tradesStocks
# Trades14
# Profitable8
% Profitable57.1%
Avg trade duration406.9 days
Max peak-to-valley drawdown73.7%
drawdown periodSept 04, 2018 - March 19, 2020
Annual Return (Compounded)15.8%
Avg win$13,017
Avg loss$1,118

Ratios

W:L ratio16.03
Sharpe Ratio0.43
Sortino Ratio0.63
Calmar Ratio0.92

CORRELATION STATISTICS

Correlation to SP5000.69
Return Percent SP500 (cumu) during strategy life584.9%
Return of Strat Pcnt - Return of SP500 Pcnt (cumu)372.5%

Return Statistics

Ann Return (w trading costs)15.8%
Return Pcnt (Compound or Annual, age-based, NFA compliant)0.2%
Return Pcnt Since TOS Status0.0%
Ann Return (Compnd, No Fees)16.0%

Slump

Current Slump as Pcnt Equity10.8%
Current Slump, time of slump as pcnt of strategy life0.0%

Instruments

Percent Trades Forex0.0%
Percent Trades Futures0.0%
Percent Trades Options0.0%
Percent Trades Stocks1.0%

Risk of Ruin (Monte-Carlo)

Chance of 10% account loss100.0%
Chance of 20% account loss100.0%
Chance of 30% account loss100.0%
Chance of 40% account loss100.0%
Chance of 50% account loss100.0%
Chance of 60% account loss (Monte Carlo)0.0%
Chance of 70% account loss (Monte Carlo)0.0%
Chance of 80% account loss (Monte Carlo)0.0%
Chance of 90% account loss (Monte Carlo)0.0%
Chance of 100% account loss (Monte Carlo)0.0%

Automation

Percentage Signals Automated0.0%

Popularity

Popularity (Today)0
Popularity (Last 6 weeks)0
Popularity (7 days, Percentile 1000 scale)0

Trading Style

Any stock shorts? 0/10

Trades-Own-System Certification

Trades Own System?0
TOS percent0.0%

Win / Loss

Avg Loss$1,118
Avg Win$13,016
# Winners8
Sum Trade PL (losers)$6,707
Sum Trade PL (winners)$104,132
Num Months Winners115
# Losers6
% Winners57.1%

Dividends

Dividends Received in Model Acct3378

Age

Num Months filled monthly returns table195

Frequency

Avg Position Time (mins)586002.56
Avg Position Time (hrs)9766.71
Avg Trade Length406.90
Last Trade Ago5435

Regression

Alpha0
Beta1.91
Treynor Index0.03

Maximum Adverse Excursion (MAE)

MAE:Equity, average, all trades0.08
MAE:Equity, 95th Percentile Value for this strat0.04
MAE:Equity, average, losing trades0.09
MAE:Equity, losing trades only, 95th Percentile Value for this strat
MAE:Equity, average, winning trades0.08
MAE:Equity, win trades only, 95th Percentile Value for this strat
Avg(MAE) / Avg(PL) - All trades0.14
MAE:PL (avg, all trades)0.20
MAE:PL (avg, losing trades)
MAE:PL - Losing Trades - this strat Percentile of All Strats5.51
MAE:PL - Winning Trades - this strat Percentile of All Strats26.90
MAE:PL (avg, winning trades)
MAE:PL - worst single value for strategy
Avg(MAE) / Avg(PL) - Winning trades0.06
Avg(MAE) / Avg(PL) - Losing trades-1.01
Hold-and-Hope Ratio8.22

RATIO STATISTICS

Mean0.83
SD0.94
Sharpe ratio (Glass type estimate)0.89
Sharpe ratio (Hedges UMVUE)0.88
df55
t1.92
p0.03
Lowerbound of 95% confidence interval for Sharpe Ratio-0.04
Upperbound of 95% confidence interval for Sharpe Ratio1.81
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-0.04
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation1.80
Sortino ratio2.24
Upside Potential Ratio3.82
Upside part of mean1.42
Downside part of mean-0.59
Upside SD0.88
Downside SD0.37
N nonnegative terms34
N negative terms22
N of observations56
Mean of predictor0.45
Mean of criterion0.83
SD of predictor0.32
SD of criterion0.94
Covariance0.26
r0.88
b (slope, estimate of beta)2.55
a (intercept, estimate of alpha)-0.32
Mean Square Error0.21
DF error54
t(b)13.33
p(b)0
t(a)-1.41
p(a)0.92
Lowerbound of 95% confidence interval for beta2.16
Upperbound of 95% confidence interval for beta2.93
Lowerbound of 95% confidence interval for alpha-0.78
Upperbound of 95% confidence interval for alpha0.14
Treynor index (mean / b)0.33
Jensen alpha (a)-0.32
Mean0.50
SD0.78
Sharpe ratio (Glass type estimate)0.64
Sharpe ratio (Hedges UMVUE)0.63
df55
t1.38
p0.09
Lowerbound of 95% confidence interval for Sharpe Ratio-0.28
Upperbound of 95% confidence interval for Sharpe Ratio1.55
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-0.28
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation1.54
Sortino ratio1.05
Upside Potential Ratio2.50
Upside part of mean1.18
Downside part of mean-0.68
Upside SD0.62
Downside SD0.47
N nonnegative terms34
N negative terms22
N of observations56
Mean of predictor0.40
Mean of criterion0.50
SD of predictor0.29
SD of criterion0.78
Covariance0.19
r0.83
b (slope, estimate of beta)2.20
a (intercept, estimate of alpha)-0.38
Mean Square Error0.19
DF error54
t(b)11.06
p(b)0
t(a)-1.78
p(a)0.96
Lowerbound of 95% confidence interval for beta1.80
Upperbound of 95% confidence interval for beta2.60
Lowerbound of 95% confidence interval for alpha-0.82
Upperbound of 95% confidence interval for alpha0.05
Treynor index (mean / b)0.23
Jensen alpha (a)-0.38
VaR(95%)0.28
Expected Shortfall on VaR0.34
VaR(95%)0.10
Expected Shortfall on VaR0.20
Mean0.84
SD0.82
Sharpe ratio (Glass type estimate)1.02
Sharpe ratio (Hedges UMVUE)1.02
df1232
t2.21
p0.47
Lowerbound of 95% confidence interval for Sharpe Ratio0.11
Upperbound of 95% confidence interval for Sharpe Ratio1.92
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0.11
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation1.92
Sortino ratio1.51
Upside Potential Ratio8.50
Upside part of mean4.71
Downside part of mean-3.87
Upside SD0.61
Downside SD0.55
N nonnegative terms698
N negative terms535
N of observations1233
Mean of predictor0.46
Mean of criterion0.84
SD of predictor0.31
SD of criterion0.82
Covariance0.18
r0.72
b (slope, estimate of beta)1.93
a (intercept, estimate of alpha)-0.05
Mean Square Error0.32
DF error1231
t(b)36.60
p(b)0.08
t(a)-0.18
p(a)0.50
Lowerbound of 95% confidence interval for beta1.82
Upperbound of 95% confidence interval for beta2.03
Lowerbound of 95% confidence interval for alpha-0.56
Upperbound of 95% confidence interval for alpha0.47
Treynor index (mean / b)0.43
Jensen alpha (a)-0.05
Mean0.50
SD0.83
Sharpe ratio (Glass type estimate)0.60
Sharpe ratio (Hedges UMVUE)0.60
df1232
t1.30
p0.48
Lowerbound of 95% confidence interval for Sharpe Ratio-0.31
Upperbound of 95% confidence interval for Sharpe Ratio1.50
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-0.31
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation1.50
Sortino ratio0.82
Upside Potential Ratio7.52
Upside part of mean4.54
Downside part of mean-4.04
Upside SD0.57
Downside SD0.60
N nonnegative terms698
N negative terms535
N of observations1233
Mean of predictor0.41
Mean of criterion0.50
SD of predictor0.31
SD of criterion0.83
Covariance0.19
r0.73
b (slope, estimate of beta)1.95
a (intercept, estimate of alpha)-0.31
Mean Square Error0.32
DF error1231
t(b)37.87
p(b)0.08
t(a)-1.17
p(a)0.52
Lowerbound of 95% confidence interval for beta1.85
Upperbound of 95% confidence interval for beta2.06
Lowerbound of 95% confidence interval for alpha-0.82
Upperbound of 95% confidence interval for alpha0.21
Treynor index (mean / b)0.25
Jensen alpha (a)-0.31
VaR(95%)0.08
Expected Shortfall on VaR0.10
VaR(95%)0.03
Expected Shortfall on VaR0.06
Mean1.98
SD1.03
Sharpe ratio (Glass type estimate)1.92
Sharpe ratio (Hedges UMVUE)1.90
df130
t1.35
p0.44
Lowerbound of 95% confidence interval for Sharpe Ratio-0.87
Upperbound of 95% confidence interval for Sharpe Ratio4.69
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-0.88
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation4.69
Sortino ratio3.09
Upside Potential Ratio11.13
Upside part of mean7.12
Downside part of mean-5.15
Upside SD0.81
Downside SD0.64
N nonnegative terms78
N negative terms53
N of observations131
Mean of predictor1.32
Mean of criterion1.98
SD of predictor0.36
SD of criterion1.03
Covariance0.27
r0.73
b (slope, estimate of beta)2.11
a (intercept, estimate of alpha)-0.81
Mean Square Error0.50
DF error129
t(b)12.12
p(b)0.08
t(a)-0.78
p(a)0.54
Lowerbound of 95% confidence interval for beta1.76
Upperbound of 95% confidence interval for beta2.45
Lowerbound of 95% confidence interval for alpha-2.84
Upperbound of 95% confidence interval for alpha1.23
Treynor index (mean / b)0.94
Jensen alpha (a)-0.81
Mean1.45
SD1.02
Sharpe ratio (Glass type estimate)1.42
Sharpe ratio (Hedges UMVUE)1.41
df130
t1.01
p0.46
Lowerbound of 95% confidence interval for Sharpe Ratio-1.36
Upperbound of 95% confidence interval for Sharpe Ratio4.20
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-1.36
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation4.19
Sortino ratio2.15
Upside Potential Ratio10.11
Upside part of mean6.82
Downside part of mean-5.37
Upside SD0.77
Downside SD0.67
N nonnegative terms78
N negative terms53
N of observations131
Mean of predictor1.25
Mean of criterion1.45
SD of predictor0.35
SD of criterion1.02
Covariance0.27
r0.74
b (slope, estimate of beta)2.13
a (intercept, estimate of alpha)-1.21
Mean Square Error0.48
DF error129
t(b)12.47
p(b)0.08
t(a)-1.22
p(a)0.57
Lowerbound of 95% confidence interval for beta1.79
VAR (95 Confidence Intrvl)0.08
Upperbound of 95% confidence interval for beta2.46
Lowerbound of 95% confidence interval for alpha-3.19
Upperbound of 95% confidence interval for alpha0.76
Treynor index (mean / b)0.68
Jensen alpha (a)-1.21
VaR(95%)0.09
Expected Shortfall on VaR0.12
VaR(95%)0.04
Expected Shortfall on VaR0.08

ORDER STATISTICS

Number of observations56
Minimum0.46
Quartile 10.93
Median1.03
Quartile 31.18
Maximum2.56
Mean of quarter 10.82
Mean of quarter 20.99
Mean of quarter 31.10
Mean of quarter 41.36
Inter Quartile Range0.25
Number outliers low1
Percentage of outliers low0.02
Mean of outliers low0.46
Number of outliers high1
Percentage of outliers high0.02
Mean of outliers high2.56
Extreme Value Index (moments method)0.11
VaR(95%) (moments method)0.17
Expected Shortfall (moments method)0.24
Extreme Value Index (regression method)0.01
VaR(95%) (regression method)0.19
Expected Shortfall (regression method)0.27
Number of observations1233
Minimum0.61
Quartile 10.98
Median1.00
Quartile 31.02
Maximum1.50
Mean of quarter 10.95
Mean of quarter 20.99
Mean of quarter 31.01
Mean of quarter 41.06
Inter Quartile Range0.04
Number outliers low54
Percentage of outliers low0.04
Mean of outliers low0.88
Number of outliers high54
Percentage of outliers high0.04
Mean of outliers high1.13
Extreme Value Index (moments method)0.33
VaR(95%) (moments method)0.05
Expected Shortfall (moments method)0.09
Extreme Value Index (regression method)0.20
VaR(95%) (regression method)0.05
Expected Shortfall (regression method)0.08
Number of observations131
Minimum0.85
Quartile 10.97
Median1.00
Quartile 31.04
Maximum1.22
Mean of quarter 10.93
Mean of quarter 20.99
Mean of quarter 31.02
Mean of quarter 41.09
Inter Quartile Range0.07
Number outliers low3
Percentage of outliers low0.02
Mean of outliers low0.86
Number of outliers high3
Percentage of outliers high0.02
Mean of outliers high1.20
Extreme Value Index (moments method)-0.58
VaR(95%) (moments method)0.07
Expected Shortfall (moments method)0.07
Extreme Value Index (regression method)-0.40
VaR(95%) (regression method)0.07
Expected Shortfall (regression method)0.09

DRAW DOWN STATISTICS

Number of observations8
Minimum0.02
Quartile 10.12
Median0.23
Quartile 30.38
Maximum0.61
Mean of quarter 10.06
Mean of quarter 20.16
Mean of quarter 30.32
Mean of quarter 40.52
Inter Quartile Range0.26
Number outliers low0
Percentage of outliers low0
Mean of outliers low0
Number of outliers high0
Percentage of outliers high0
Mean of outliers high0
Extreme Value Index (moments method)0
VaR(95%) (moments method)0
Expected Shortfall (moments method)0
Extreme Value Index (regression method)0
VaR(95%) (regression method)0
Expected Shortfall (regression method)0
Number of observations57
Minimum0.00
Quartile 10.03
Median0.06
Quartile 30.11
Maximum0.70
Mean of quarter 10.01
Mean of quarter 20.04
Mean of quarter 30.09
Mean of quarter 40.28
Inter Quartile Range0.09
Number outliers low0
Percentage of outliers low0
Mean of outliers low0
Number of outliers high6
Percentage of outliers high0.11
Mean of outliers high0.44
Extreme Value Index (moments method)0.39
VaR(95%) (moments method)0.29
Expected Shortfall (moments method)0.54
Extreme Value Index (regression method)0.39
VaR(95%) (regression method)0.31
Expected Shortfall (regression method)0.57
Number of observations13
Minimum0.00
Quartile 10.04
Median0.09
Quartile 30.15
Maximum0.43
Mean of quarter 10.02
Mean of quarter 20.07
Mean of quarter 30.14
Mean of quarter 40.30
Inter Quartile Range0.11
Number outliers low0
Percentage of outliers low0
Mean of outliers low0
Number of outliers high2
Percentage of outliers high0.15
Mean of outliers high0.37
Extreme Value Index (moments method)0.13
VaR(95%) (moments method)0.31
Expected Shortfall (moments method)0.43
Extreme Value Index (regression method)2.18
VaR(95%) (regression method)0.36
Expected Shortfall (regression method)0
Strat Max DD how much worse than SP500 max DD during strat life?-424483008
Max Equity Drawdown (num days)562
Last 4 Months - Pcnt Negative0.5%

COMBINED STATISTICS

Annualized return (arithmetic extrapolation)1.96
Compounded annual return (geometric extrapolation)0.64
Calmar ratio (compounded annual return / max draw down)1.06
Compounded annual return / average of 25% largest draw downs1.23
Compounded annual return / Expected Shortfall lognormal1.88
j156mfCOMBRisPar0
j157mfCOMBRisPar0
Annualized return (arithmetic extrapolation)1.97
Compounded annual return (geometric extrapolation)0.64
Calmar ratio (compounded annual return / max draw down)0.92
Compounded annual return / average of 25% largest draw downs2.30
Compounded annual return / Expected Shortfall lognormal6.52
j313dfCOMBRisPar0
j314dfCOMBRisPar0
Annualized return (arithmetic extrapolation)2.13
Compounded annual return (geometric extrapolation)3.27
Calmar ratio (compounded annual return / max draw down)7.67
Compounded annual return / average of 25% largest draw downs10.88
Compounded annual return / Expected Shortfall lognormal27.98

Trading record

Placed 44 trades in real-life brokerage accounts.

SymbolSideQtyOpenedClosedP/L
TWM long46Oct 20, 2011Oct 24, 2011($474)
UWM long500Sep 27, 2011Oct 20, 2011$487
TWM long43Sep 22, 2011Sep 27, 2011($1,159)
UWM long540Sep 8, 2011Sep 22, 2011($2,504)
TWM long16Sep 7, 2011Sep 8, 2011($114)
UWM long575Aug 24, 2011Sep 7, 2011$279
TWM long18Aug 3, 2011Aug 24, 2011$537
UWM long385Jun 14, 2011Jul 27, 2011$1,141
UWM long388May 6, 2011Jun 10, 2011($2,189)
TWM long98Apr 4, 2011May 6, 2011$219
UWM long440Mar 22, 2011Apr 4, 2011$1,368
TWM long27Mar 11, 2011Mar 22, 2011($286)
UWM long564Jul 23, 2010Mar 11, 2011$7,004

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.