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- 13 June 2007
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Greetings all --
About tight stops.
I strongly encourage everyone to test the effect stops have on their favorite trading system. The system has logic to enter the trade and logic to exit the trade. No matter what time frame is being used and no matter what trading system is being used, there will be adverse price movements between the time of entry and the time of exit. A system that has a tight stop will be stopped out by normal price fluctuations. No matter how those trades would have turned out, they will not have an opportunity to become profitable. The tighter the stop, the more often the stop will cause an exit and the trade will be a loss. If I increase losing trades due to stops being hit, I reduce the proportion of winning trades to losing trades, and I increase the number of consecutive losing trades that will occur. In order to have an overall profitable system, my winning trades will have to be much more profitable, which is much more difficult to achieve.
One of the methods of determining whether a system is broken or not is based on observation of the number of consecutive losing trades. If I have a system that wins 70% of its trades, a string of 4 consecutive losing trades will be rare, and will cause me to watch the system very closely, or even take it off line. If I have a system that wins 30% of its trades, it will have strings of 10 or more losing trades, still be within its parameters, and I will not have reason to take it off line.
When we do the mathematics to evaluate the characteristics of safe, profitable trading systems that generate high rates of return with low risk, several things appear.
Have a positive expectancy.
Trade frequently.
Hold a short period of time.
Have a high percentage of winning trades.
Limit losses on losing trades.
Simply based on the normal, random fluctuations in financial prices, adverse price movement increases in proportion to the square root of the time the position is held. Which means that the probability of a stop being hit due to normal price fluctuations increases in proportion to the square root of the time the position is held.
There is a formula that will give you a statistic measuring the likelihood that a system will trade profitably:
t = (mean / standard deviation) * squareroot of (number of trades).
where mean and standard deviation are the percentage return of each closed trade, taken from either actual trades or out-of-sample validation runs. Do not use in-sample results -- you will certainly go bankrupt.
When t is greater than about 2, the probability of going bankrupt is small.
Please, do not accept the traditional wisdom regarding placement of stops without testing it on your own systems. Tight stops hurt the performance of every trading system I have ever tested them on.
Thanks for listening,
Howard
About tight stops.
I strongly encourage everyone to test the effect stops have on their favorite trading system. The system has logic to enter the trade and logic to exit the trade. No matter what time frame is being used and no matter what trading system is being used, there will be adverse price movements between the time of entry and the time of exit. A system that has a tight stop will be stopped out by normal price fluctuations. No matter how those trades would have turned out, they will not have an opportunity to become profitable. The tighter the stop, the more often the stop will cause an exit and the trade will be a loss. If I increase losing trades due to stops being hit, I reduce the proportion of winning trades to losing trades, and I increase the number of consecutive losing trades that will occur. In order to have an overall profitable system, my winning trades will have to be much more profitable, which is much more difficult to achieve.
One of the methods of determining whether a system is broken or not is based on observation of the number of consecutive losing trades. If I have a system that wins 70% of its trades, a string of 4 consecutive losing trades will be rare, and will cause me to watch the system very closely, or even take it off line. If I have a system that wins 30% of its trades, it will have strings of 10 or more losing trades, still be within its parameters, and I will not have reason to take it off line.
When we do the mathematics to evaluate the characteristics of safe, profitable trading systems that generate high rates of return with low risk, several things appear.
Have a positive expectancy.
Trade frequently.
Hold a short period of time.
Have a high percentage of winning trades.
Limit losses on losing trades.
Simply based on the normal, random fluctuations in financial prices, adverse price movement increases in proportion to the square root of the time the position is held. Which means that the probability of a stop being hit due to normal price fluctuations increases in proportion to the square root of the time the position is held.
There is a formula that will give you a statistic measuring the likelihood that a system will trade profitably:
t = (mean / standard deviation) * squareroot of (number of trades).
where mean and standard deviation are the percentage return of each closed trade, taken from either actual trades or out-of-sample validation runs. Do not use in-sample results -- you will certainly go bankrupt.
When t is greater than about 2, the probability of going bankrupt is small.
Please, do not accept the traditional wisdom regarding placement of stops without testing it on your own systems. Tight stops hurt the performance of every trading system I have ever tested them on.
Thanks for listening,
Howard