The primary forecast pattern for May.
The
forecast focuses on market direction and timing rather than magnitude
of price change. Key challenges in advanced cycle spectrum analysis (as implemented in Timing Solution)
include Discrete Fourier Transform (DFT)-based spectral decomposition
of price data into dominant cycles, which typically requires at least 3
years of daily observations for 30-day forecasting, with more than 5
years being optimal; pattern recognition; construction of composite
cycle projection lines; and identification of initial directional biases
for the upcoming month. There is also the inverse pattern, which is currently not favored by Nicholas Savino.
Reference:
