To train models on past market behavior and project future price turns.
Explain the (like Fourier Transforms) used in timing software.
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To identify hidden cyclical patterns in historical price data. To train models on past market behavior and
Explore open-source Python libraries (such as scipy.signal for FFT/wavelet analysis) or R packages dedicated to time-series forecasting and cycle analysis.
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