
Building a Financial Time Series Analysis System with Wavelet Transformations
Introduction to Financial Time Series Analysis Financial time series analysis is a crucial aspect of modern finance, enabling us to predict market trends, manage risks, and make informed investment decisions. These series are complex and often non-stationary, making traditional analysis methods less effective. This is where wavelet transformations come into play, offering a powerful tool for decomposing and analyzing these series. What are Wavelet Transformations? Wavelet transformations are mathematical tools that allow us to analyze signals in both time and frequency domains simultaneously....