Grey1 said:
T squared
May i welcome you to the site, I would like to say that firstly I like your nick name . Secondly you approach to trading including the importance of risk management is refreshing . I am risk freak and my Trading engine in Corp orates a risk based model without which i I would not win in long run ,
Just one note. The statement above is not correct. If your trading algorithm is nothing more than a gamble then your risk based model wont save you .
How ever i feel you probably meant some thing else.
I stand to be corrected.
grey1
Hello Grey,
I appreciate the warm welcome. I see you’re one of the moderators, you should be commended…..you run a very courteous and informed forum.
I’m glad to see you appreciate our constant stress on risk management.
Please allow me to explain my comment: “Even our strategies without money management, is pure gambling.”
I’m sure you’ve heard of “The Turtles,” from the 1970’s. They basically threw darts at a dartboard, exited the losing trades, and let the good trades “run.” Of course this is their “strategy,” simplified, but it essentially formed the framework utilized by the billionaire traders of today.
With that said, say you have a strategy that has a pretty high success rate, 67% of the trades are profitable, and the annual rate of return is around 50%. You start out the account with $10,000. You decide to risk 10%, or $1,000 per trade. The first 5 trades you have are losers (well within the boundaries of a 67% success rate), and immediately your account is down 50%. Then the system generated 2 winning trades, followed by another 4 losing trades. As you can plainly see, you’re account would almost be decimated to nothing. Simply stated this strategy, even though it is very productive in terms of returns, is useless without the proper position sizing and risk management. Grey, this is why it is so difficult to not only design a system, but to trade it correctly. There are so many factors to consider.
A successful trading strategy takes either hundreds of trades, or a long period of time to be able to quantify whether it is efficient or not. Take for example, American baseball. Let’s say you bring your son or daughter to a baseball game to see Barry Bonds for the first time. He strikes out twice, and grounds out to the pitcher the other two at bats. As you’re leaving the stadium, your child says that Barry Bonds stinks. When in reality, you know this is not the case. I realize this is a corny analogy, but I think it may illustrate my point.
Final Note: Statistics show that 5-10% of the trades generated in a system make up 90% of the profit in a given year. Keep that in mind while you view the results of not only our systems, but any other system you are analyzing.
I apologize for being long-winded, Grey, but I hope I was able to answer your question and provide some of the viewers with a bit of insight.
T2