Wavelets are wavelike functions used to transform signals into a representation which has time and frequency domain components. Visually wavelets appear as wave-like oscillations with an amplitude that starts at zero, increases, then returns to zero. Another way to consider a wavelet is as a bandpass filter, which can be applied to a time series under investigation, letting through only components of the time series within a finite range of frequencies to different extents depending on the energy spectrum of the wavelet. Wavelets take the form:
Each asset holds a value, often priced in U.S. dollars, which leads to another use case: trading and investing. Aside from stablecoins — which seek to stabilize the instability of cryptocurrencies by pegging an asset to something else, such as the U.S. dollar — most cryptocurrencies constantly fluctuate in price. You can trade between cryptocurrencies and national currencies (called fiat currencies) on exchanges, depending on the trading pairs available on the platform of choice.

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