08/01/2011 23:24:30
 forum Administrator Posts: 387
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AS WANG on mechanical trading:
Let’s talk about creating a trading system. What are the steps a trader should go through to do so? There are three main steps a trader should follow. The first step is selecting a principle that is fundamental and universal, which must follow the natural law. For example, between trend-following and antitrend following methods, I’ll choose to use the trend-following method. Because of this, I eliminate the need to pick tops or bottoms. I also think it is impossible to pick tops and bottoms. But even in nontrending markets, couldn’t there be short-term trends that a trader could trade? Yes, but I prefer not to catch the top or bottom. What I look at is a series of trends and label them trend 1, trend 2, trend 3, and so on. I prefer to use trend 2 and see if price trades at the stop level. If price does not penetrate the stop, it would be a retracement. This means we can take a chance. So if the trend has already started and prices pull back close to the stop level I have set, I can take a chance on entering the trade because from there, I will know in a short time if I am right or wrong. So what is the second step? The second step is based on the idea that “less means more.” You should focus on two key pieces of information — the market direction and the key support and resistance levels. You want to know if the trend is up or down and where the support and resistance levels are. I just concentrate on these two parts and try to get that right. And what is the third step? The third step is to build in backtesting and forward-testing, and paper-trade your modules to test the idea. Generally speaking, when developing a trading system, only 20% of the job should involve developing the trading system itself — developing formulas, designing indicators, and so on. Now, 80% of the job should involve validating the trading system, proving that the signals it provides lead to profitable trading decisions. Backtesting using historical data and forward-testing should be part of the validation process of any trading system. Think of it as parallel to developing laser-guided missiles where the testing, calibration, and global positioning systems have the same importance as the laser guidance system itself. Why is backtesting important? Backtesting is the first and easiest way to validate the signal algorithm. How can anyone trust colored bars or lights or whatever indications you are using if you have not validated it by backtesting? If you blindly follow unproven signals, you are just shooting in the dark. It will be costly. So make sure that whatever trading software you are using offers backtesting capabilities. You can validate the signals and strategies before you risk any hard-earned money. Trading with proven strategies is the best way humanly possible to trade in the market. What is the importance of forward-testing and paper-trading? Backtesting involves looking at data from the past and analyzing the performance results. Forward-testing should really be called historical forward-testing. It doesn’t mean testing from here on out. Assume we are looking at data from six years ago. Since we are now in 2009, it would mean going back to 2003, at which time we set the parameters of the program. So we test the system in 2004 and see how it worked. Then we run the program again at the end of 2004, fix the parameters, and then test it to see how it performs during 2005. So you keep forward-testing in this way. The advantage of doing this is it gives more realistic results. What about virtual paper-trading? When you are paper-trading — that is, trading your system without risking any capital — you will buy and sell based on the buy or sell signals on the chart. The program will log in all your buys and sells. So you let the program go back, say one year, and then test it. This is a great way of testing to see if your system gives you the desired results. When you test and analyze a trading system, what kind of variable do you consider? For starters, we suggest you not change anything in your trading system when you are trading it virtually. If you do, the entire program will change so you don’t know if it will work. So when paper-trading, just keep your parameters fixed. Let the program go back one year and let it run so you can see how the program works. You may see that half your trades win and half lose. But as long as your losses are small and your wins are big, you could end up having four to five good trades a month. This is why trend-following works. What are the disadvantages of curvefitting? Curve-fitting tests how well the model is working for the past data. It has nothing to do with the future. Since we are trading the current and future markets, in most cases, curve-fitting parameters may not work for future markets. The more input parameters you use, the better the fitting can be. But since you are using more parameters, it becomes much more difficult to fit future market conditions. This is why we only allow two input parameters to vary in AbleTrend. The key is finding out the basic market movement rules, not curve-fit the past specific historical data. If a trading system is designed for a particular market, with a particular time interval, the programmer can curve-fit the historical data and come up with an unrealistic, overly optimized program. Beware of programs designed to trade only one particular market with a particular time interval — for instance, a system that only trades the emini S&P two-minute chart. Why is that? Because it is very likely that the program is curve-fitting the historical data. A program based on curve-fitting is worthless because financial markets are dynamic and constantly changing. An algorithm based only on historical data ideally would work well only during that historical period. Only algorithms based on timeless and universal market principles work in today’s markets — in all the markets, all the time.
Incorporating risk management into a trading system is important and is something you have done. Why is risk management so critical? Risk management in a trading system means knowing where to place your stops. It deals with intratrade management. There is another level called money management, which deals with intertrade trading size — that is, the number of futures contracts or stock shares. You need to have both. One of the main reasons most traders lose money is that most traders cannot cut losses short, or it takes them too long to determine if being in a position is right or wrong. Last question. Why is it necessary to have an objective trading system that takes all the emotions out of trading? I believe that a combination of the following four elements is the foundation on which we can build success in trading. It is necessary for traders to have all four elements working together. These four elements are: • A profitable trading system/method • Adequate capitalization • Money management strategy, and • Discipline or a winning trading psychology. A profitable trading system is your foundation. Emotionless trading is a long-term training process that is based on the feedback of the performance of your trading system. Another important thing to keep in mind is to only risk the amount of money you can afford. Thanks, John. Suggested reading Wang, John, and Grace Wang [2010]. AbleTrend: Identifying And Analyzing Market Trends For Trading Success, John Wiley & Sons.
Reprinted from Technical Analysis of Stocks & Commodities magazine. © 2009 Technical Analysis Inc., (800) 832-4642, http://www.traders.com edited by forum on 08/01/2011
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