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ΣL US Stock Market Composite - 25th September 2023 | @ 75 Days
Last trade: -5.53% | 'C' class signal in Sigma-L US stock market composite (Russell 2000, Dow Jones Industrial Average, S&P 500). Average wavelength of 75 days since Oct 2020. Currently turning down.
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: Buy - ΣL US Stock Market Composite 8th August 2023
Entry: 8th August, 2023
Exit: 25th September, 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.
S&P 500 (-3.84%)
Russell 2000 (-8.49%)
Composite Average Gain:
Current Signal Status
Defining characteristics of the component detected over the sample period.
Detected Signal Class: C - learn more
Average Wavelength: 75.45 Days
Completed Iterations: 16
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.
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: Peaked / Turning Down
FM: +- 14 Days
AM: N/A (Composite)
Next Trough Range: October 15th - November 12th, 2023
Next Peak Range: November 23rd - December 21st, 2023
Sigma-L Recommendation: Sell
Time Target: ~ 29th October, 2023
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.