ΣL Precious Metals Composite - 6th November 2023 | @ 290 Days | - 4.84%

Last trade: - 4.84% | 'B' class signal detected: Sigma-L Precious Metals Composite (Gold, Silver, Platinum, Palladium). 290 days / 11 sample iterations since April 2015. Currently peaking

Nov 6, 2023

∙ Paid

Instrument Summary

This time domain average of important precious metals, valued in US Dollars, emphasises the periodic components within each constituent that are phase locked. The signal to noise ratio for any significant periodicity is increased, within the average, by this method. Included in the composite are gold, silver, platinum and palladium.

ΣL Cycle Summary

The most notable aspect of this longer term analysis, via what could be termed as the ‘40 week nominal’ wave, in Hurst nomenclature, is the outperformance of gold since the last low around July this year. This is in stark contrast to palladium, which is has fallen in an almost linear fashion. Taken together with silver and platinum, the latest up-leg iteration of this component in precious metals is distinctly sideways. A peak is due now and it will be interesting to see if gold continues to outperform the other metals, within the down-leg, to the end of the 1st quarter 2024.

Trade Update

See also: Live ΣL Portfolio & History

Summary of the most recent trade enacted with this signal and according to the time prediction detailed in the previous post for this instrument, linked below.

Type: Late Buy - ΣL Precious Metals Composite 20th July 2023
Entry: 20th July, 2023
Exit: 6th November, 2023

For a composite analysis, each constituent’s respective gain over the period is displayed, in descending order. The average of the constituent gain is also shown.

Constituent Gain:
XAUUSD (0.91%)
XPTUSD (-2.50%)
XAGUSD (-6.26%)
XPDUSD (-11.50%)

Composite Average Gain:
- 4.84%

Current Signal Status

Defining characteristics of the component detected over the sample period.

Detected Signal Class: B - learn more
Average Wavelength: 290.21 Days (41.46 Weeks)
Completed Iterations: 11

Time Frequency Analysis

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