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Isonomy Turbo

Options · Started Jan 2010

hypothetical · Annual Return (Compounded)
-4.1%
Max Drawdown
71.3%
Trades
151
Win Trades
57.6%
Profit Factor
1
Win Months
9.5%

About this strategy


The Isonomy Balanced series:
--- Isonomy, Cautious Balanced - Unexciting but relatively safe, easy to understand and follow.
--- Isonomy Plus, Enhanced Balanced - Enhanced version of Isonomy for higher returns.
---
Isonomy Turbo, Aggressive Balanced - this system
. Most aggressive of the three systems for highest returns.

I am trading this in my own live account.


NOTE ABOUT EQUITY CHART


In the chart above, the gray line represents historical performance without charges. The blue line takes into account broker commissions (which scale with account size) and subscription fees (which do not scale). At the minimum $10,000 starting capital the subscription fees are a significant proportion of account size, which is why there is such an increasing discrepancy between the gray line and the blue line.

Had I run exactly the same system starting at, say, the $50,000 level (with of course 5x greater trade sizes) instead, the blue line would be much closer to the gray line. Keep in mind that the larger account size you trade, the smaller the drag effect of the subscription fee. This applies to any system on C2, not just this one.


About to subscribe?

Enter the following coupon code on the subscription form to receive a 50% discount for the first six months after your trial period runs out:

UGSG49244



TARGET


To return as much as possible long term while keeping risk of permanent loss at bay. The rough target is 25% compound per year.

If this does not seem like a worthy target, remember that the Isonomy series are intended for the
long term
. That means the target is 25% per year
on average over many years
.
Just to illustrate that 25% is actually rather a lot: At 10% per year $10,000 turns into $41,800 over 15 years, but at 25% $10,000 turns into $284,200 - almost seven times more!


DESCRIPTION


Isonomy Turbo works with a combination of Silver (or other precious commodity), Stocks and Bonds.

However, instead of buying the stock (ETFs) we buy and sell a combination of options on each underlying asset. This way we can arrange the resulting risk/reward curve to give us a good chance of making money in a variety of conditions, and some protection should prices go against us in the shorter term.
Simplified result: we profit if the stock price rises or even just stays the same. If the price falls, insurance is in place to limit losses.

As in Isonomy and Isonomy Plus, the principle is that sufficiently different asset classes do not usually move in step for long and so by keeping our money allocated between different asset classes, and rebalancing from time to time, we can smooth out our returns over the long term. Various studies have shown that such diversification reduces volatility.

But in Isonomy Turbo this asset balance is the basis for a more speculative approach, though with protections in place. Please note that, as mentioned above, Isonomy Turbo is based on building compound positions from several option legs which together offer profit potential and limited risk. Therefore some trades are
expected
to be losers. These are usually the risk-limiting (insurance) legs... think of them as paying an insurance premium.

We expect greater long term return than Isonomy or Isonomy Plus and, potentially, greater short term volatility as well.
High volatility is to be expected
from time to time. Drawdowns and flat periods are quite normal and will usually happen either in times of steadily reducing market volatility, or when there is correlation between two or more of the asset classes during a down move. These periods may take just days or months to play out. Max drawdown is expected to be under 30% although of course this cannot be a cast-iron guarantee.

Trading is more frequent but still not so much as to incur excessive trading costs, perhaps twenty-five to forty trades per year. Signals may come at any time of day but if you are off-line for a while and not auto-trading there is no need to panic - placing the trade a day late should usually not cause much deviation from performance as measured by Collective 2.


CUSTOMISATION


It is
highly recommended that you do not pick and choose
individual trades unless you are quite sure you know what extra risk you may be taking on by doing so. This also applies to already open positions when you start trading; you should open all of them when you start. One caveat there is that you can safely omit any trades to open a short position that is worth very little and is already close to expiry.

As mentioned above, some positions are there as insurance. If you omit those you may be left open to a wipe-out unless you set your own stop-loss. Isonomy Turbo assumes a balanced compound position and therefore does not use stop-losses.

If you would nevertheless like to customize (e.g. to tie up less capital) then the safer way is to trade only one or two underlyings instead of all three. Isonomy Turbo capital is split roughly one third in each underlying. So for example you'd trade only the QQQQ options or only TLT options.
However, doing this will increase your volatility and frequency of drawdowns.

One of the underlying principles of the Isonomy systems is to rely on short term market prediction as little as practicable. Timing entry into or out of the system, or timing trades to get better prices, is possible but usually not recommended.


REQUIREMENTS


~ This system should be traded with at least the current "total system equity" (it started with $10,000) as shown in the Model Account Status box on the right of this page, or by the end of the gray line on the chart above. You can trade with more, but less than $10,000 is not recommended.
See the Customisation section if you'd like to trade with less.

~ Make sure you scale your trades accordingly. For instance if the current system equity is $10,000 and the signal is to buy 5 option contracts, then with $20,000 in your account you would buy 10 contracts, and with $5,000 you would buy
2
- always
round down
if possible or you may not have enough funding to open all legs.

~ I recommend that you try to start your account size (and trade scaling) in exact multiples of the current system equity. So for instance, if the current system equity is $10,000 then trade your account with $10k or $20k or $30k... etc.
You don't
have
to stick to this, but it should ensure that your account follows the system exactly.

~
Important:
If you start trading this system manually you should place trades to open all currently open positions. If you autotrade then this should be done for you automatically. In some cases it is safe to omit old positions that are worth almost zero. If in doubt, ask me first.

~ You will need an options trading account with your broker which allows you to buy and sell spreads. You will not need to sell naked calls but naked short puts may be used rarely.
At OptionsXpress the required account permission is "Trading Level 4".

~ Make sure you are able to open
all trades
. It is important that all legs of the compound positions are in place because they work together to construct the desired risk-reward curve. Missing some legs out may expose you to a much greater level of risk.

~ No margin is used. Leverage is implicit in the way option pricing works. The portfolio may be leveraged up to 4x but rarely more than that.

~ If you want to gear down you can do so by trading with more than the current system equity but without scaling up the trade quantities as much.


NOTE: When you first start trading this system and you open all the currently open positions (there may be 10 or 12) then you may see an immediate drop in your account of a few percent. Unfortunately this is quite unavoidable due to the relatively high bid-ask spread on options prices. However, over a couple of months that blip will become more and more insignificant compared to the normal up/down gyrations of the portfolio.


Please use the system forum or contact me directly if you have any questions.


CREDIT CRISIS


Below are back-test results of how this system may have performed had it been running just before, and during, the Credit Crunch. Of course, these are only approximated hypothetical results derived after the fact and should be taken as such.

Year....Isonomy Turbo....S&P500
2005.........39.0%..............9.8% (Jan 05 - Jan 06)
2006...........9.5%............14.2%
2007.........28.6%.............-2.7%
2008..........36.3%...........-38.2%
2009.........14.1%............41.0%

Hypothetical Monthly Returns (includes fees/commissions)

YearJanFebMarAprMayJunJulAugSepOctNovDecYTD
2010-4.95.2-2.59.315.91.03.1-0.13.10.0-1.02.935.0
2011-4.91.26.33.8-1.1-0.97.08.3-2.92.03.8-9.911.6
20125.01.0-5.3-6.3-5.9-5.5-2.93.2-2.0-13.5-6.6-5.1-37.0
2013-1.1-8.2-2.2-5.2-8.7-9.4-1.422.2-14.49.6-22.1-12.2-46.2
2014-0.6-0.7-0.70.00.00.00.00.00.00.00.00.0-1.9
20150.00.00.00.00.00.00.00.00.00.00.00.00.0
20160.00.00.00.00.00.00.00.00.00.00.00.00.0
20170.00.00.00.00.00.00.00.00.00.00.00.00.0
20180.00.00.00.00.00.00.00.00.00.00.00.00.0
20190.00.00.00.00.00.00.00.00.00.00.00.0
20200.00.00.00.00.00.00.00.00.00.00.00.00.0
20210.00.00.00.00.00.00.00.00.00.00.00.00.0
20220.00.00.00.00.00.00.00.00.00.00.00.00.0
20230.00.00.00.00.00.00.00.00.00.00.00.00.0
20240.00.00.00.00.00.00.00.00.00.00.00.00.0
20250.00.00.00.00.00.00.00.00.00.00.00.00.0
20260.00.00.00.00.00.00.00.00.00.0

Statistics

Overview

Strategy began1/25/2010
Suggested Minimum Capital$10,000
Age202 months
What it tradesOptions
# Trades151
# Profitable87
% Profitable57.6%
Avg trade duration111.3 days
Max peak-to-valley drawdown71.3%
drawdown periodNov 15, 2011 - Dec 19, 2013
Annual Return (Compounded)-4.1%
Avg win$614
Avg loss$872

Ratios

W:L ratio0.96
Sharpe Ratio-0.32
Sortino Ratio-0.43
Calmar Ratio-0.06

CORRELATION STATISTICS

Correlation to SP5000.01
Return Percent SP500 (cumu) during strategy life593.9%
Return of Strat Pcnt - Return of SP500 Pcnt (cumu)-649.6%

Return Statistics

Ann Return (w trading costs)-4.1%
Return Pcnt (Compound or Annual, age-based, NFA compliant)-0.0%
Return Pcnt Since TOS Status0.0%
Ann Return (Compnd, No Fees)-1.6%

Slump

Current Slump as Pcnt Equity245.8%
Current Slump, time of slump as pcnt of strategy life0.9%

Instruments

Percent Trades Forex0.0%
Percent Trades Futures0.0%
Percent Trades Options1.0%
Percent Trades Stocks0.0%

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)100.0%
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)100.0%

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? 0/11

Trades-Own-System Certification

Trades Own System?0
TOS percent0.0%

Win / Loss

Avg Loss$872
Avg Win$614
# Winners87
Sum Trade PL (losers)$55,791
Sum Trade PL (winners)$53,391
Num Months Winners20
# Losers64
% Winners57.6%

Dividends

Dividends Received in Model Acct0

Age

Num Months filled monthly returns table201

Frequency

Avg Position Time (mins)160328.23
Avg Position Time (hrs)2672.14
Avg Trade Length111.30
Last Trade Ago4642

Regression

Alpha-0.01
Beta0.01
Treynor Index-1.21

Maximum Adverse Excursion (MAE)

MAE:Equity, average, all trades0.05
MAE:Equity, 95th Percentile Value for this strat0.12
MAE:Equity, average, losing trades0.09
MAE:Equity, losing trades only, 95th Percentile Value for this strat
MAE:Equity, average, winning trades0.02
MAE:Equity, win trades only, 95th Percentile Value for this strat
Avg(MAE) / Avg(PL) - All trades-23.68
MAE:PL (avg, all trades)0.06
MAE:PL (avg, losing trades)
MAE:PL - Losing Trades - this strat Percentile of All Strats5.22
MAE:PL - Winning Trades - this strat Percentile of All Strats20.63
MAE:PL (avg, winning trades)
MAE:PL - worst single value for strategy
Avg(MAE) / Avg(PL) - Winning trades0.37
Avg(MAE) / Avg(PL) - Losing trades-1.06
Hold-and-Hope Ratio-0.04

RATIO STATISTICS

Mean-0.02
SD0.18
Sharpe ratio (Glass type estimate)-0.10
Sharpe ratio (Hedges UMVUE)-0.10
df97
t-0.29
p0.61
Lowerbound of 95% confidence interval for Sharpe Ratio-0.79
Upperbound of 95% confidence interval for Sharpe Ratio0.58
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-0.79
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation0.58
Sortino ratio-0.14
Upside Potential Ratio1.16
Upside part of mean0.15
Downside part of mean-0.16
Upside SD0.12
Downside SD0.13
N nonnegative terms74
N negative terms24
N of observations98
Mean of predictor0.25
Mean of criterion-0.02
SD of predictor0.19
SD of criterion0.18
Covariance-0.00
r-0.12
b (slope, estimate of beta)-0.12
a (intercept, estimate of alpha)0.01
Mean Square Error0.03
DF error96
t(b)-1.22
p(b)0.89
t(a)0.17
p(a)0.43
Lowerbound of 95% confidence interval for beta-0.31
Upperbound of 95% confidence interval for beta0.07
Lowerbound of 95% confidence interval for alpha-0.12
Upperbound of 95% confidence interval for alpha0.14
Treynor index (mean / b)0.15
Jensen alpha (a)0.01
Mean-0.03
SD0.18
Sharpe ratio (Glass type estimate)-0.19
Sharpe ratio (Hedges UMVUE)-0.19
df97
t-0.54
p0.70
Lowerbound of 95% confidence interval for Sharpe Ratio-0.87
Upperbound of 95% confidence interval for Sharpe Ratio0.50
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-0.87
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation0.50
Sortino ratio-0.25
Upside Potential Ratio1.02
Upside part of mean0.14
Downside part of mean-0.17
Upside SD0.11
Downside SD0.14
N nonnegative terms74
N negative terms24
N of observations98
Mean of predictor0.23
Mean of criterion-0.03
SD of predictor0.19
SD of criterion0.18
Covariance-0.00
r-0.12
b (slope, estimate of beta)-0.11
a (intercept, estimate of alpha)-0.01
Mean Square Error0.03
DF error96
t(b)-1.16
p(b)0.88
t(a)-0.12
p(a)0.55
Lowerbound of 95% confidence interval for beta-0.31
Upperbound of 95% confidence interval for beta0.08
Lowerbound of 95% confidence interval for alpha-0.14
Upperbound of 95% confidence interval for alpha0.12
Treynor index (mean / b)0.30
Jensen alpha (a)-0.01
VaR(95%)0.08
Expected Shortfall on VaR0.10
VaR(95%)0.02
Expected Shortfall on VaR0.04
Mean-0.02
SD0.18
Sharpe ratio (Glass type estimate)-0.09
Sharpe ratio (Hedges UMVUE)-0.09
df2152
t-0.26
p0.60
Lowerbound of 95% confidence interval for Sharpe Ratio-0.77
Upperbound of 95% confidence interval for Sharpe Ratio0.59
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-0.77
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation0.59
Sortino ratio-0.12
Upside Potential Ratio4.54
Upside part of mean0.62
Downside part of mean-0.63
Upside SD0.12
Downside SD0.14
N nonnegative terms1675
N negative terms478
N of observations2153
Mean of predictor0.26
Mean of criterion-0.02
SD of predictor0.24
SD of criterion0.18
Covariance-0.00
r-0.05
b (slope, estimate of beta)-0.03
a (intercept, estimate of alpha)-0.01
Mean Square Error0.03
DF error2151
t(b)-2.09
p(b)0.98
t(a)-0.12
p(a)0.55
Lowerbound of 95% confidence interval for beta-0.07
Upperbound of 95% confidence interval for beta-0.00
Lowerbound of 95% confidence interval for alpha-0.13
Upperbound of 95% confidence interval for alpha0.12
Treynor index (mean / b)0.48
Jensen alpha (a)-0.01
Mean-0.03
SD0.19
Sharpe ratio (Glass type estimate)-0.18
Sharpe ratio (Hedges UMVUE)-0.18
df2152
t-0.52
p0.70
Lowerbound of 95% confidence interval for Sharpe Ratio-0.86
Upperbound of 95% confidence interval for Sharpe Ratio0.50
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-0.86
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation0.50
Sortino ratio-0.24
Upside Potential Ratio4.32
Upside part of mean0.61
Downside part of mean-0.64
Upside SD0.12
Downside SD0.14
N nonnegative terms1675
N negative terms478
N of observations2153
Mean of predictor0.23
Mean of criterion-0.03
SD of predictor0.25
SD of criterion0.19
Covariance-0.00
r-0.04
b (slope, estimate of beta)-0.03
a (intercept, estimate of alpha)-0.03
Mean Square Error0.03
DF error2151
t(b)-2.06
p(b)0.98
t(a)-0.40
p(a)0.65
Lowerbound of 95% confidence interval for beta-0.07
Upperbound of 95% confidence interval for beta-0.00
Lowerbound of 95% confidence interval for alpha-0.15
Upperbound of 95% confidence interval for alpha0.10
Treynor index (mean / b)1.00
Jensen alpha (a)-0.03
VaR(95%)0.02
Expected Shortfall on VaR0.02
VaR(95%)0.00
Expected Shortfall on VaR0.01
Mean0
SD0
Sharpe ratio (Glass type estimate)0
Sharpe ratio (Hedges UMVUE)0
df0
t0
p0
Lowerbound of 95% confidence interval for Sharpe Ratio0
Upperbound of 95% confidence interval for Sharpe Ratio0
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation0
Sortino ratio0
Upside Potential Ratio0
Upside part of mean0
Downside part of mean0
Upside SD0
Downside SD0
N nonnegative terms131
N negative terms0
N of observations131
Mean of predictor1.12
Mean of criterion0
SD of predictor0.39
SD of criterion0
Covariance0
r0
b (slope, estimate of beta)0
a (intercept, estimate of alpha)0
Mean Square Error0
DF error0
t(b)0
p(b)0
t(a)0
p(a)0
Lowerbound of 95% confidence interval for beta0
Upperbound of 95% confidence interval for beta0
Lowerbound of 95% confidence interval for alpha0
Upperbound of 95% confidence interval for alpha0
Treynor index (mean / b)0
Jensen alpha (a)0
Mean0
SD0
Sharpe ratio (Glass type estimate)0
Sharpe ratio (Hedges UMVUE)0
df0
t0
p0
Lowerbound of 95% confidence interval for Sharpe Ratio0
Upperbound of 95% confidence interval for Sharpe Ratio0
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation0
Sortino ratio0
Upside Potential Ratio0
Upside part of mean0
Downside part of mean0
Upside SD0
Downside SD0
N nonnegative terms131
N negative terms0
N of observations131
Mean of predictor1.05
Mean of criterion0
SD of predictor0.40
SD of criterion0
Covariance0
r0
b (slope, estimate of beta)0
a (intercept, estimate of alpha)0
Mean Square Error0
DF error0
t(b)0
p(b)0
t(a)0
p(a)0
Lowerbound of 95% confidence interval for beta0
VAR (95 Confidence Intrvl)0.02
Upperbound of 95% confidence interval for beta0
Lowerbound of 95% confidence interval for alpha0
Upperbound of 95% confidence interval for alpha0
Treynor index (mean / b)0
Jensen alpha (a)0
VaR(95%)0
Expected Shortfall on VaR0
VaR(95%)0
Expected Shortfall on VaR0

ORDER STATISTICS

Number of observations98
Minimum0.78
Quartile 11
Median1
Quartile 31
Maximum1.22
Mean of quarter 10.95
Mean of quarter 21
Mean of quarter 31
Mean of quarter 41.05
Inter Quartile Range0
Number outliers low24
Percentage of outliers low0.24
Mean of outliers low0.94
Number of outliers high21
Percentage of outliers high0.21
Mean of outliers high1.06
Extreme Value Index (moments method)0
VaR(95%) (moments method)0
Expected Shortfall (moments method)0
Extreme Value Index (regression method)0.11
VaR(95%) (regression method)0.05
Expected Shortfall (regression method)0.09
Number of observations2153
Minimum0.82
Quartile 11
Median1
Quartile 31
Maximum1.11
Mean of quarter 10.99
Mean of quarter 21
Mean of quarter 31
Mean of quarter 41.01
Inter Quartile Range0
Number outliers low478
Percentage of outliers low0.22
Mean of outliers low0.99
Number of outliers high486
Percentage of outliers high0.23
Mean of outliers high1.01
Extreme Value Index (moments method)-0.07
VaR(95%) (moments method)0.00
Expected Shortfall (moments method)0.01
Extreme Value Index (regression method)0.13
VaR(95%) (regression method)0.01
Expected Shortfall (regression method)0.02
Number of observations131
Minimum1
Quartile 11
Median1
Quartile 31
Maximum1
Mean of quarter 11
Mean of quarter 21
Mean of quarter 31
Mean of quarter 41
Inter Quartile Range0
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

DRAW DOWN STATISTICS

Number of observations4
Minimum0.01
Quartile 10.03
Median0.05
Quartile 30.19
Maximum0.57
Mean of quarter 10.01
Mean of quarter 20.03
Mean of quarter 30.07
Mean of quarter 40.57
Inter Quartile Range0.17
Number outliers low0
Percentage of outliers low0
Mean of outliers low0
Number of outliers high1
Percentage of outliers high0.25
Mean of outliers high0.57
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 observations49
Minimum0.00
Quartile 10.01
Median0.01
Quartile 30.03
Maximum0.59
Mean of quarter 10.00
Mean of quarter 20.01
Mean of quarter 30.02
Mean of quarter 40.10
Inter Quartile Range0.03
Number outliers low0
Percentage of outliers low0
Mean of outliers low0
Number of outliers high3
Percentage of outliers high0.06
Mean of outliers high0.27
Extreme Value Index (moments method)0.79
VaR(95%) (moments method)0.10
Expected Shortfall (moments method)0.49
Extreme Value Index (regression method)1.39
VaR(95%) (regression method)0.09
Expected Shortfall (regression method)0
Number of observations0
Minimum0
Quartile 10
Median0
Quartile 30
Maximum0
Mean of quarter 10
Mean of quarter 20
Mean of quarter 30
Mean of quarter 40
Inter Quartile Range0
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
Strat Max DD how much worse than SP500 max DD during strat life?-421039488
Max Equity Drawdown (num days)765
Last 4 Months - Pcnt Negative0.0%

COMBINED STATISTICS

Annualized return (arithmetic extrapolation)-0.03
Compounded annual return (geometric extrapolation)-0.03
Calmar ratio (compounded annual return / max draw down)-0.06
Compounded annual return / average of 25% largest draw downs-0.06
Compounded annual return / Expected Shortfall lognormal-0.32
j156mfCOMBRisPar0
j157mfCOMBRisPar0
Annualized return (arithmetic extrapolation)-0.03
Compounded annual return (geometric extrapolation)-0.03
Calmar ratio (compounded annual return / max draw down)-0.06
Compounded annual return / average of 25% largest draw downs-0.32
Compounded annual return / Expected Shortfall lognormal-1.40
j313dfCOMBRisPar0
j314dfCOMBRisPar0
Annualized return (arithmetic extrapolation)0
Compounded annual return (geometric extrapolation)0
Calmar ratio (compounded annual return / max draw down)0
Compounded annual return / average of 25% largest draw downs0
Compounded annual return / Expected Shortfall lognormal0

Trading record

Placed 114 trades in real-life brokerage accounts.

SymbolSideQtyOpenedClosedP/L
SLV long700Dec 22, 2013Dec 23, 2013($2,506)
TLT long200Dec 22, 2013Dec 23, 2013($1,802)
SLV1517M15 long10Jun 28, 2013Dec 23, 2013($724)
TLT1517M95 long3Sep 20, 2013Dec 23, 2013($649)
QQQ1422O70 long4Sep 20, 2013Dec 23, 2013($402)
SLV1517A25 long2Jun 28, 2013Dec 23, 2013($105)
SLV1517A40 long2Mar 27, 2013Dec 23, 2013($161)
SLV1517A35 long2Apr 19, 2013Dec 23, 2013($105)
SLV1321X24 short4Sep 20, 2013Dec 22, 2013$1,297
SLV1321X20 short3Sep 20, 2013Dec 22, 2013$259
TLT1321X113 short2Sep 20, 2013Dec 22, 2013$1,899
QQQ1321X74 short4Oct 8, 2013Dec 22, 2013$477
QQQ1321U69 short4Jun 24, 2013Sep 20, 2013$810
QQQ1517A80 long2Jun 27, 2013Sep 20, 2013$527
TLT1418M100 long2Jun 24, 2013Sep 20, 2013($179)
TLT1418A135 long3Dec 24, 2012Sep 20, 2013($685)
TLT1418M105 long1Feb 21, 2013Sep 20, 2013$103
TLT1321U118 short2Jun 21, 2013Sep 20, 2013($613)
SLV1321U20 short4Jun 21, 2013Sep 20, 2013$618
SLV1321U27 short3Jun 21, 2013Sep 20, 2013$461
SLV1517M20 long9Apr 19, 2013Jun 28, 2013$1,787
TLT1322F120 short1Apr 3, 2013Jun 23, 2013$199
QQQ1322R69 short4Mar 15, 2013Jun 23, 2013$901
SLV1322R33 short1Mar 15, 2013Jun 21, 2013($907)
SLV1322R30 short5Mar 15, 2013Jun 21, 2013($4,192)
TLT1322R120 short2Mar 15, 2013Jun 21, 2013($773)
TLT1316O120 short2Dec 24, 2012Mar 15, 2013($409)
QQQ1316O66 short1Dec 21, 2012Mar 15, 2013$302
SLV1316O29 short1Dec 21, 2012Mar 15, 2013$11
TLT1316C125 short2Dec 24, 2012Feb 11, 2013$293

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.