Sprott Physical Silver Trust (PSLV) - 19th September 2023 | @ 293 Days

'B' class signal detected in Sprott Physical Silver Trust (PSLV). Running at an average wavelength of 293 days over 9 iterations since October 2016. Currently approaching a peak.

Instrument Summary

The Sprott Physical Silver Trust (PSLV) primarily allocates its assets to physical silver bullion. PSLV aims to offer a secure and easily tradable investment option for those seeking to own physical silver without the typical hassles associated with directly investing in bullion.

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Current Signal Status

Defining characteristics of the component detected over the sample period.

Detected Signal Class: B - learn more
Average Wavelength: 293.26 Days
Completed Iterations: 9

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 highpassed price with the extracted signal overlaid for visual clarity.

Here the longer term component around 290 days, notionally the 40 week ‘nominal wave’, is due to peak in the next few weeks. The price move from the most recent trough in early June has been sideways in nature.

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).

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Phase: Approaching Peak
FM: +- 27 Days
AM: 0.29428
Next Trough Range: March 2nd - April 25th, 2024
Next Peak Range: October 9th - December 2nd, 2023

Sigma-L Recommendation: Early Sell
Time Target: ~ 29th March, 2024

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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.

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