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System 1200737

Stocks, Futures, Forex · Started Sep 2004

hypothetical · Annual Return (Compounded)
12.6%
Max Drawdown
—
Trades
636
Win Trades
56.4%
Profit Factor
1.20
Win Months
10.9%

About this strategy

I filter systems using Predominantly MOO orders (independence greater than 95%); Realism Factor (honesty - greater than 80%); P/L per unit: the higher the better (reliability - non scalping methods); Max (true or realized or actual) DrawDown (pride - less than 48%) and rank the resulting results by the Expectancy Score- ES - (highly correlated with Profit Factor - self esteem) and then break a tie (less than 5% difference in ES) if any, by the Sharpe Ratio (integrity).

The expertise of the principal establishes the foundation for an analytical discipline employing a macro, top-down, bottom-up perspective in a framework tailored to the asset allocation challenges facing investment professionals, professional & proprietary traders, brokers, accredited investors, hedge fund & asset managers whose main purpose is to maximize the ES. We are uniquely positioned to provide high value-added in the quest for superior returns with an approach geared to the portfolio investor�s need to choose from among competing asset classes on a e. high risk/e. high reward (e. aggressive) basis taking into account the difficulty of picking winners, commission, slippage costs and tax consequences. Please ignore the Drawdwn & Risk column and the Max. Drawdown figures reported by C2 as it is fraught with bad quote errors, rife with fallacies and prejudices to base any concepts on it.

Our client services are primarily delivered through collective2.com e-mails. Our Model Positions are representative positions that put our best economic forecasts to work. These are not recommendations to buy or sell specific instruments, nor are they personalized investment advice.

I filter systems using Predominantly MOO orders (independence greater than 95%); Realism Factor (honesty - greater than 80%); P/L per unit: the higher the better (reliability - non scalping methods); Max (true or realized or actual) DrawDown (pride - less than 48%) and rank the resulting results by the Expectancy Score- ES - (highly correlated with Profit Factor - self esteem) and then break a tie (less than 5% difference in ES) if any, by the Sharpe Ratio (integrity).
I filter systems using Predominantly MOO orders (independence greater than 95%); Realism Factor (honesty - greater than 80%); P/L per unit: the higher the better (reliability - non scalping methods); Max (true or realized or actual) DrawDown (pride - less than 48%) and rank the resulting results by the Expectancy Score- ES - (highly correlated with Profit Factor - self esteem) and then break a tie (less than 5% difference in ES) if any, by the Sharpe Ratio (integrity).

Model Positions are created at a size representing a fixed % of the portfolio. Larger versions of similar positions may involve market impact costs or other costs that we do not take into account. The typical portfolio% risked is 0.6667% of total equity (adjusted by the dollar volatility of the instrument) for 36 positions, assuming that the system has a positive Expectancy ((AW X PW - AL X PL) / AL) where AW=average win, PW=probability of win, AL=average loss, PL=probability of loss) & a Profit Factor (W:L ratio) greater than 1.0. Use the 0.6667% equity risk model and never risk more than 2.6667% (from algorithmic hedged scaled up/down trades) for 36 positions, assuming a 96% DrawDown at a losing streak with 1 in 40007 of ever occurring will consist of 36 consequtive losses. Min. account size recommended:$10K - mini-forex, mini-futures, ETFs/Options, $100K - futures, stocks, $1M - bonds, $10M - T-bills, $100M - forex.

The risk of a trade is defined as the dollar amount that the trade would lose per contract if it were a loss. Commonly, the trade risk is taken as the size of the money management stop applied, if any, to each trade. If your system doesn�t use protective (money management) stops, the risk can be taken as the largest historical loss over a period of 30 recent trades. This is a modification of the approach Vince adopted in his book "Portfolio Management Formulas," John Wiley & Sons, New York, 1990. http://www.adaptrade.com/Articles/article-ffps.htm

In my mind, curve fitting means either using different systems for different markets, or using different parameters of the same system for different markets, & this is not valid technical analysis. Instead, one should trade the moves, rather than markets. Some traders hold on to a position, & keep changing their systems to fit it - other traders hold on to their systems & keep changing their portfolios to fit it. If a system works on Bonds & not on Beans, this system is curve fitted over a specific set of data (Bonds) & it loses all statistical validity. To believe it will work in the future as it has worked in the past is very dangerous. I therefore take exception to any system, that either only trades one specific market (stocks or forex) or group of markets (Energy), or trades different markets using different parameters or rules of the same system. All this proves is what has worked best in the past, & this will usually not continue to work in the future, as there is no correlation under this scenario as history wont ever repeat itself exactly.

Trader Mike says: "Expectancy, position-sizing & other aspects of money management are far more important than discovering the holygrail entry system or indicator(s)." http://tradermike.net/2004/05/trading_101_expectancy.html Alex Matulich says: "Expectancy score is a better, more objective measure than the Sharpe Ratio for evaluating the relative performance of different trading strategies." http://unicorn.us.com/trading/expectancy.html Harry M. Kat says "Overall portfolio standard deviation can be reduced further by combining both hedge funds & managed futures with stocks & bonds" http://www.capmgt.com/managed-futures-and-hedge-funds.html Dr. David Druz says, "The more robust a system, the more volatile it tends to be! This is because robust systems are not optimized to particular markets or market conditions. The converse is also true. You can design systems with excellent returns & low volatility on historical testing, but which work only for given periods in given markets. These systems tend to be curve-fit or market-fit & are not robust." This quote comes from: http://www.tacticalnet.com/cgi-bin/t2.exe/VolatiltiyPaper.htm


Day-trading systems specialize in one market, do very well for a while & then suddenly fall to pieces. Many day-trading systems are taking extremely large positions which, in the event of any large intra-day moves or breakdown in exchange trading functions or server outages which happen from time to time, expose the account to wipe-out, even negative equity. Please also note that as with many systems that go for longer terms moves (although not all trades do this), the open equity plot favoured here at C2 sometimes provides a misleading, or we should say incomplete, picture. The most important negative points are those that involve actual (realized) account losses, which are not the same as an open equity (unrealized) drawdown. There are going to be open drawdowns. But in order to get the big moves, you have to be willing to give those profits a chance to run. Mosttimes it works, sometimes it doesnt. What is not shown here on the C2 graph is the closed equity line. Usually, though not always, it shows a far smoother ride than looking at the open equity plot alone, which does tend to oscillate far more, and also with far larger moves than any day-trading system would permit. Also, options on forex & futures are not yet available at C2, which makes it difficult to hedge your positions for longer-term investing, with the result it appears that the day-trading systems at C2 encounter lower drawdowns; but in reality, the intra day drawdowns they encounter is not shown at C2; instead they show end-of-day drawdowns which essentially is a closed equity plot for day trading systems. "All that glisters is not Gold" - Shakespeare http://www.dontloseyourass.com

Out-of-sample data is essential for system validation. Robustness (a term used to describe a system or method that works under many market conditions), rather than peak performance, is the key to a useful system - Kaufman, Trading Systems & Methods" The systems that have withstood the test of time (robust) have very few parameters & very simple methods - Hill, Truth In Futures

Hypothetical Monthly Returns (includes fees/commissions)

YearJanFebMarAprMayJunJulAugSepOctNovDecYTD
2004-8.1-26.840.9-5.4-10.3
200533.9-18.650.422.2-35.9-104.7-746.1-188.5150.769.10.019.6128.8
2006-37.420.517.732.6-60.655.9-18.7118.6-21.4-0.0-0.10.01.0
20070.0-0.0-0.0-0.00.1-0.0-0.00.0-0.1-0.0-11.4-0.0-11.5
2008-0.1-0.1-0.20.12.9-0.00.00.00.00.00.0-0.02.6
20090.00.0-0.00.00.00.00.00.00.0-0.00.00.0-0.0
20100.00.00.00.00.00.00.00.00.00.00.00.30.3
20110.00.00.00.00.00.00.00.00.00.00.00.00.0
20120.00.00.00.00.00.00.00.00.00.00.00.00.0
20130.00.00.00.00.00.00.00.00.00.00.00.00.0
20140.03.30.0-0.1-0.3-0.1-0.4-0.2-0.5-0.10.1-0.41.3
2015-1.1-0.4-0.20.3-0.40.0-0.30.60.1-0.4-0.60.8-1.5
20160.20.30.40.0-0.60.80.30.10.2-0.00.00.01.7
20170.00.00.00.00.00.00.00.00.0-0.00.00.0-0.0
20180.00.00.00.00.00.00.00.00.00.00.00.00.0
20190.00.00.00.00.00.00.00.00.00.00.00.00.0
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
20230.0-5.40.00.00.00.00.00.00.00.00.00.0-5.4
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
20260.00.00.00.00.00.00.00.00.00.00.0

Statistics

Overview

Strategy began9/12/2004
Suggested Minimum Capital$100,000
Age268 months
What it tradesStocks, Futures, Forex
# Trades636
# Profitable359
% Profitable56.4%
Avg trade duration10.5 days
Max peak-to-valley drawdown—
drawdown period—
Annual return (compounded)3.7%
Avg win$2,426
Avg loss$2,706

Ratios

W:L ratio1.16
Sharpe Ratio0.29
Sortino Ratio0.53
Calmar Ratio-0.01

CORRELATION STATISTICS

Correlation to SP500-0.03
Return Percent SP500 (cumu) during strategy life595.0%
Return of Strat Pcnt - Return of SP500 Pcnt (cumu)79.5%

Return Statistics

Ann Return (w trading costs)12.6%
Return Pcnt Since TOS Status0.0%
Ann Return (Compnd, No Fees)3.7%

Slump

Current Slump as Pcnt Equity121.1%
Current Slump, time of slump as pcnt of strategy life0.9%

Instruments

Percent Trades Forex0.3%
Percent Trades Futures0.3%
Percent Trades Options0.0%
Percent Trades Stocks0.3%

Automation

Percentage Signals Automated0.0%

Trading Style

Any stock shorts? 0/11

Trades-Own-System Certification

Trades Own System?0
TOS percent0.0%

Win / Loss

Avg Loss$2,706
Avg Win$2,426
# Winners359
Sum Trade PL (losers)$749,542
Sum Trade PL (winners)$870,829
Num Months Winners4
# Losers277
% Winners56.5%

Dividends

Dividends Received in Model Acct527

Age

Num Months filled monthly returns table10

Frequency

Avg Position Time (mins)15148.65
Avg Position Time (hrs)252.48
Avg Trade Length10.50
Last Trade Ago7321

Regression

Alpha0
Beta-1.21
Treynor Index0

Maximum Adverse Excursion (MAE)

MAE:Equity, average, all trades0.10
MAE:Equity, 95th Percentile Value for this strat0
MAE:Equity, average, losing trades0.23
MAE:Equity, losing trades only, 95th Percentile Value for this strat—
MAE:Equity, average, winning trades0.04
MAE:Equity, win trades only, 95th Percentile Value for this strat—
Avg(MAE) / Avg(PL) - All trades11.29
MAE:PL (avg, all trades)3.12
MAE:PL (avg, losing trades)—
MAE:PL - Losing Trades - this strat Percentile of All Strats88.72
MAE:PL - Winning Trades - this strat Percentile of All Strats94.02
MAE:PL (avg, winning trades)—
MAE:PL - worst single value for strategy—
Avg(MAE) / Avg(PL) - Winning trades0.89
Avg(MAE) / Avg(PL) - Losing trades-2.79
Hold-and-Hope Ratio0.07

RATIO STATISTICS

a (intercept, estimate of alpha)57889.76
VAR (95 Confidence Intrvl)0.67

DRAW DOWN STATISTICS

Max Equity Drawdown (num days)3276
Last 4 Months - Pcnt Negative0.5%

Trading record

SymbolSideQtyOpenedClosedP/L
LB U6long196Jun 2, 2006Sep 15, 2006($48,791)
FC V6short14Jun 7, 2006Aug 10, 2006($14,799)
ED U6long224Jun 5, 2006Jul 18, 2006$10,407
LC V6short31Jun 9, 2006Jul 12, 2006$13,632
NK U6long5Jun 20, 2006Jul 5, 2006$11,735
KC U6long30Jun 2, 2006Jul 5, 2006$25,073
SM Z6short5Jun 21, 2006Jun 28, 2006$1,540
CHF/JPY short1360Jun 11, 2006Jun 26, 2006($24)
EUR/JPY short560Jun 11, 2006Jun 26, 2006($41)
CAD/JPY short90Jun 19, 2006Jun 26, 2006($4)
GBP/NZD short70Jun 20, 2006Jun 26, 2006($1,400)
GBP/JPY short110Jun 20, 2006Jun 26, 2006($2)
@NQ U6long2Jun 25, 2006Jun 26, 2006$154
SB V6long14Jun 7, 2006Jun 26, 2006$12,040
GBP/AUD short540Jun 8, 2006Jun 25, 2006$1,395
USD/MXN short180Jun 16, 2006Jun 25, 2006($699)
EUR/CHF long210Jun 18, 2006Jun 25, 2006$1,349
@NQ U6long5Jun 15, 2006Jun 21, 2006$1,645
@QG N6long1Jun 14, 2006Jun 18, 2006$3,917
USD/ISK long160Jun 6, 2006Jun 15, 2006$500,800
USD/DKK long140Jun 11, 2006Jun 14, 2006$1,988
EUR/USD short350Jun 6, 2006Jun 14, 2006$8,296
USD/CAD long620Jun 1, 2006Jun 14, 2006$3,058
GBP/INR short240Jun 4, 2006Jun 14, 2006$271,200
@QG N6long46May 30, 2006Jun 13, 2006$53,357
CHF/JPY short200May 29, 2006Jun 5, 2006($13)
GBP/JPY short440May 28, 2006May 30, 2006($46)
GBP/THB short130May 26, 2006May 29, 2006$58,501
EX U6short7May 11, 2006May 18, 2006$18,385
@QM N6long11May 11, 2006May 11, 2006$1,562

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.