The decomposing of stock market prices into a set of sub waves with different frequencies by the discrete Fourier transform provides unstable and unsatisfying results. The Empirical Mode Decomposition (EMD) is a decomposing algorithm which uses sub waves with amplitude modulation and frequency modulation, leading to better adapted analyze results. As a non causal algorithm the EMD bears challenges for the technical analysis. Nevertheless, the EMD provides valuable information about market data. This paper presents the EMD algorithm and its features within the context of technical analysis.