WTI Crude Oil - 27th October 2023 | @ 277 Days
'A' class signal detected in WTI Crude Oil. Average wavelength of 277 days (39.57 weeks) over 10 iterations since April 2016. Currently peaking.
ΣL Cycle Summary
This wave is notionally the 40 week ‘nominal’ wave in ‘Hurstonian’ nomenclature and is superbly evident in the time frequency analysis below, sampled since April 2016. Currently approaching the latest peak, it will be interesting to observe whether the down-leg breaches lows of mid 2023, suggesting a larger component low further down the track or makes a higher low, expected toward the end of the first quarter 2024.
Current Signal Status
Defining characteristics of the component detected over the sample period.
Detected Signal Class: A - learn more
Average Wavelength: 277.22 Days (39.57 weeks)
Completed Iterations: 10
Component Yield Over Sample: 379.84% - learn more
Time Frequency Analysis
Time frequency charts (learn more) below will typically show the cycle of interest against price, the bandpass output alone and the bandwidth of the component in the time frequency heatmap, framed in white. If a second chart is displayed it will usually show high-passed price with the extracted signal overlaid for visual clarity.
Current Signal Detail & Targets
Here we give more detail on the signal relative to speculative price, given the detected attributes of the component. In most cases the time target to hold a trade for is more important, given we focus on cycles in financial markets. Forthcoming trough and peak ranges are based upon the frequency modulation in the sample (learn more).
Phase: Peaking / Peaked
FM: +- 9 Days
AM: 3.02139
Next Trough Range: 11th March - 29th March, 2024
Next Peak Range: 26th July - 13th August, 2024
Sigma-L Recommendation: Sell
Time Target: ~ 20th March, 2024
Current Signal Phase
This is ‘how far along’ the cycle is in it’s period at now time and is related to the predicted price action direction.
Current Signal Frequency Modulation (FM)
This is how much, on average, the signal detected varies in frequency (or wavelength) over the whole sample. A lower variance is better and implies better profitability for the component. Frequency usually modulates relatively slowly and over several iterations.
Current Signal Amplitude Modulation (AM)
This is how much the component gains or loses power (price influence) across the sample, on average. Amplitude modulation can happen quite quickly and certainly is more evident than frequency modulation in financial markets. The more stable the modulation the better.