Trading systems for Metastock usually use indicators and oscillators known from technical analysis. In addition to simple systems that are based on one or two indicators, there are also many complex platforms that can adapt to current market conditions. They recognize if there is a trend or consolidation and choose the most appropriate strategy.
Metastock trading systems allow you to test your individual trading ideas based on historical data, which makes it easier to decide on their future use. Although creating and testing Metastock trading systems is usually time-consuming and requires considerable expertise, it pays off in the long run. To get high profits, you should combine individual technical analysis tools into one coherent and logical integrity. When building a Metastock trading system, you need to make sure that it is logical and coherent, not just thinking about the possible profits it could bring you based on historical data. First, you should define the operating conditions of the system, when it should be undisturbed and when it can fail. This allows you to check whether any losses are due to an error in the strategy itself or is caused by specific market conditions. When a system is built randomly with a random selection of indicators and oscillators, it often generates profits only in the case of historical data, but makes losses in real market conditions. The parameters of trading systems are usually adapted to historical data by optimization. It consists in choosing such indicators that would bring the highest profit in the test period. For each indicator or oscillator, different parameter values are checked, and then the possible profit that would be reported is calculated. The next step is to combine the results and select the most profitable parameters. There is a risk of over-optimizing the system. This means that the values of the tested indicators did not correspond to historical data without the logic and coherence of the strategy.
After understanding the general idea of the trading system and defining the rules for entering and exiting the market, the testing process comes next. Thanks to programs like Metastock or TradeStation, it is possible to perform thousands of tests to select the best indicator parameters. It is possible if you follow a few rules. In both, setting the pointer value is at the end. They are usually associated with a generally accepted value or with values selected in the optimization process. Both methods have their advantages and disadvantages, but neither should be dismissed in advance. The selection of parameters for indicators should be considered according to the philosophy of the entire system and its tools. However, at the same time, taking into account the accepted assumptions, the decision on their exact value will take place to a greater extent through optimization.
The second most important issue, in addition to optimizing the parameters of the meta-share trading system, is the evaluation of its effectiveness. To do this, you can use various statistics, such as the ratio of profitable transactions to losses, comparing the average profit from a transaction to the highest loss, or the average profit of a profitable transaction to a transaction with a loss. The security of the system is also defined by the ratio of the total profit from all transactions to the total loss from all transactions. Capital curve analysis is also a useful tool. He brings a lot of valuable advice. Thanks to the capital curve, you can easily find out whether the profit that the system brings you grew evenly or was the result of one very profitable transaction. You will also know how often and how strong the capital changes are, etc. By comparing the capital curve with the quote, you can easily notice the moments when the system fails or define if the system is better in strong trends or horizontal movements.
Evaluating the effectiveness of the Metastock trading system is not an easy task. In the beginning, you may get the wrong impression that the best system is the one that brings the highest profit. But the truth is much more complicated. Although the rate of return on invested capital is always important in the final settlement, you should remember that the system is tested on the basis of historical data, which usually coincides with the value of the parameters. It means that a good result that was achieved last year may not necessarily be repeated in the next period. Therefore, we should take into account the security of the system in the first place and its profitability in the second place.
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