Discussing the article: "Cycle analysis using the Goertzel algorithm"
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Check out the new article: Cycle analysis using the Goertzel algorithm.
In this article we present code utilities that implement the goertzel algorithm in Mql5 and explore two ways in which the technique can be used in the analysis of price quotes for possible strategy development.
The Goertzel algorithm is a digital signal processing technique known for its efficiency in detecting particular frequency components. Its precision, real-time abilities, and computational efficiency make it suitable for financial time series analysis. In this article we will examine and demonstrate practical ways in which the method can be used to analyze dominant cycles for possible strategy development. We will take a look at the implementation of the algorithm in MQL5 and present an example of how to use the code to identify cycles in price quotes.
The Goertzel algorithm, which derives its name from Gerald Goertzel, is utilized to calculate individual terms of the Discrete Fourier Transform (DFT) in an efficient manner. This technique was initially introduced in 1958 and has since been applied in various areas, including engineering, mathematics, and physics.The Goertzel algorithm's primary application is to identify specific frequency components within a digital signal, making it highly valuable in scenarios where only a few frequency components are important. Compared to the Fast Fourier Transform (FFT), it requires fewer computations when detecting a limited number of frequency components, rendering it computationally efficient.
Author: Francis Dube