Algorithmic trading in foreign exchange market
A lot of developers have designed trading robots which can simulate their trading strategies, and they have claimed that these robots can keep making profits continuously in the place of human traders.
However, their performance is usually not as algorithmic trading in foreign exchange market as human traders. Two factors could lead to this failure in trading: To algorithmic trading in foreign exchange market those problems, therefore, evaluating the effectiveness and sensitivity of trading robots is necessary.
The contribution of this research includes a study of trading robots and their algorithms, trading robot experiment design, data analysis and improvements to program design. The study focuses on the conceptual mechanism of trading robots, which includes trading applications and robots deployment.
This paper reports that forex trading robots are suitable for forex rates prediction. Traditional standards for robot trading analysis are used to evaluate the accuracy of forecasting currency price changes when traders are using their software for real trading.
The results indicate that practical forecasting can be completed and paper profits algorithmic trading in foreign exchange market obtained, by using five different trading robots. However, the collection of sensitive analysis is incompatible with efficiency testing. Most testing results were collected by chart review, and the test results show that the effectiveness and sensitivity of robot trading are algorithmic trading in foreign exchange market interrelated and contradictory. The more sensitive trading robots take more trading opportunities, but this reduces performance.
Further research is discussed in this paper. Foreign exchange trading, Robot trading, Algorithmic trading, Forex, Efficiency testing. This digital work is protected by the Copyright Act New Zealand. It may be consulted by you, provided you comply with the provisions of the Act and the following conditions of use: Any use you make of these documents or images must be for research or private study purposes only, and you may not make them available to any other person.
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