Sigma-L - Market Cycles

Sigma-L - Market Cycles

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Sigma-L - Market Cycles
Sigma-L - Market Cycles
ΣL US Stock Market Composite - 16th January 2024 | @ 75 Days | + 0.35%
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ΣL US Stock Market Composite - 16th January 2024 | @ 75 Days | + 0.35%

Last trade: + 0.35% | 'B' class signal in Sigma-L US stock market composite (Russell 2000, Dow Jones Industrial Average, S&P 500). Avg. wavelength of 75 days since October 2020. Currently troughing.

David F's avatar
David F
Jan 16, 2024
∙ Paid
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Sigma-L - Market Cycles
Sigma-L - Market Cycles
ΣL US Stock Market Composite - 16th January 2024 | @ 75 Days | + 0.35%
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ΣL Cycle Summary

After the spectacular linear rise from October’s low, detailed in the last report, we were expecting a pullback from this components’ peak. We have got, so far and assuming it is complete, a mild to sideways correction. Within the composite an interesting divergence has occurred between the broad Russell 2000 index and the more famous names in the Dow and S&P 500. Whilst the RUT has corrected in line with what we might expect after such a bullish rise, the other two have barely registered any bearish pressure. The next peak of this component is expected toward the end of February, volatility should pick up mid February as the peak forms.


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 US Stock Market Composite 13th December 2023
Entry: 13th December, 2023
Exit: 16th January, 2024

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:
Russell 2000 (1.16%)
DJIA (0.69%)
S&P 500 (- 0.81%)

Composite Average Gain:
0.35%


Current Signal Status

Defining characteristics of the component detected over the sample period.

Detected Signal Class: B - learn more
Average Wavelength: 74.65 Days
Completed Iterations: 16

Time Frequency Analysis

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