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Stocks & Commodities V. 30:7 (21-28): Long-Term Trading Using Exchange Traded Funds by Sylvian Vervoort
Stocks & Commodities V. 30:7 (21-28): Long-Term Trading Using Exchange Traded Funds by Sylvian Vervoort
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Long-Term Trading Using Exchange Traded Funds by Sylvian Vervoort
Since ETFs track indexes, thus averaging a large number of underlying instruments, price movements tend to be relatively small. This makes it difficult to profitably trade ETFs using daily charts. Heres how you can overcome this drawback.
arious approaches can be found for technical analysisbased buy & sell signals, all of which are categorized into three methods. The first is the one I use in my book Capturing Profit With Technical Analysis, a method called LOCKIT. It uses all kinds of technical analysis techniques to come up with reliable buy & sell signals. This is not the easiest method because you need a broad knowledge of all the basic techniques and the know-how to apply them. The second method applies artificial intelligence, feeding the data and technologies out of the first method into neural networks, automatically capturing price, volume, or any other pattern displayed by LOCKIT. Then theres the third method. This one trails price movement, basing your buying and selling on the idea that breaking a short- or medium-term up- or downtrend signals a trend reversal. Here, you have to find the most profitable balance between entering a trade quickly and avoiding false entries as much as possible, staying in as long as possible to let profits run. This is the method I apply in different trading expert systems. However, once there is a buy or sell signal, you should look for techniques from the first or second method to avoid nonprofitable trades.
TRADING EXCHANGE TRADED FUNDS
The third method can only be profitable if price moves are regular and large enough. Since exchange traded funds (ETFs) are tracking indexes that average a large number of underlying instruments, it is unusual to find larger moves with limited drawbacks on daily charts of ETFs. This makes it difficult to trade ETFs profitably with a trend-following system.
I tested a number of country ETFs with different expert systems on daily charts. As I expected, the results were not to my satisfaction, considering the limited price moves. Only when I started using weekly charts instead of daily ones were the profits consistent. The weekly charts represented larger moves we need for a profitable trend-following system. One advantage is that you only need to look for buy or sell signals once a week. Now, all you have to do is find the best-performing expert.
The best-performing system I found was my heikin-ashi candles oscillator (HACO), details about which were published in the December 2008 issue of Stocks & Commodities. First, lets look at the backtest settings and the historical results using HACO.
Since ETFs track indexes, thus averaging a large number of underlying instruments, price movements tend to be relatively small. This makes it difficult to profitably trade ETFs using daily charts. Heres how you can overcome this drawback.
arious approaches can be found for technical analysisbased buy & sell signals, all of which are categorized into three methods. The first is the one I use in my book Capturing Profit With Technical Analysis, a method called LOCKIT. It uses all kinds of technical analysis techniques to come up with reliable buy & sell signals. This is not the easiest method because you need a broad knowledge of all the basic techniques and the know-how to apply them. The second method applies artificial intelligence, feeding the data and technologies out of the first method into neural networks, automatically capturing price, volume, or any other pattern displayed by LOCKIT. Then theres the third method. This one trails price movement, basing your buying and selling on the idea that breaking a short- or medium-term up- or downtrend signals a trend reversal. Here, you have to find the most profitable balance between entering a trade quickly and avoiding false entries as much as possible, staying in as long as possible to let profits run. This is the method I apply in different trading expert systems. However, once there is a buy or sell signal, you should look for techniques from the first or second method to avoid nonprofitable trades.
TRADING EXCHANGE TRADED FUNDS
The third method can only be profitable if price moves are regular and large enough. Since exchange traded funds (ETFs) are tracking indexes that average a large number of underlying instruments, it is unusual to find larger moves with limited drawbacks on daily charts of ETFs. This makes it difficult to trade ETFs profitably with a trend-following system.
I tested a number of country ETFs with different expert systems on daily charts. As I expected, the results were not to my satisfaction, considering the limited price moves. Only when I started using weekly charts instead of daily ones were the profits consistent. The weekly charts represented larger moves we need for a profitable trend-following system. One advantage is that you only need to look for buy or sell signals once a week. Now, all you have to do is find the best-performing expert.
The best-performing system I found was my heikin-ashi candles oscillator (HACO), details about which were published in the December 2008 issue of Stocks & Commodities. First, lets look at the backtest settings and the historical results using HACO.
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