Sigma-L - Market Cycles

Sigma-L - Market Cycles

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Sigma-L - Market Cycles
Sigma-L - Market Cycles
ΣL Bitcoin Composite - 27th November 2023 | @ 89 Days | - 35.06%
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Cryptocurrency

ΣL Bitcoin Composite - 27th November 2023 | @ 89 Days | - 35.06%

Last trade: - 35.06% | 'B' class signal detected in Sigma-L Bitcoin Composite (BTC vs USD/EUR/GBP). Average wavelength of 89 days over 10 iterations since June 2021. Currently hard down / troughing.

Nov 27, 2023
∙ Paid
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Sigma-L - Market Cycles
Sigma-L - Market Cycles
ΣL Bitcoin Composite - 27th November 2023 | @ 89 Days | - 35.06%
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ΣL Cycle Summary

Amplitude in Bitcoin increased notably over the last few weeks, pushing price to a right translated peak of the most prominent and profitable cycle over the sample - here at around 89 days average wavelength. The incoming trough placement is a little uncertain with frequency modulation placing it from nowtime to within the next couple of weeks. That said, the modulation is not hugely significant over the sample range and we can expect the wave to continue it’s stationarity within whatever larger structure evolves. We have assigned an early buy to the instrument below, phase is technically hard down / troughing at the time of writing from the latest analysis sweep.


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: Sell - ΣL Bitcoin Composite 13th October 2023
Entry: 13th October 2023
Exit: 27th 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:
BTCEUR (-33.14%)
BTCGBP (-33.58%)
BTCUSD (-38.47%)

Composite Average Gain:
-
35.06%


Current Signal Status

Defining characteristics of the component detected over the sample period.

Detected Signal Class: B - learn more
Average Wavelength: 88.39 Days
Completed Iterations: 10

Time Frequency Analysis

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