Tencent Holdings Ltd (TCEHY) - 12th July 2023 | @ 74 Days

'A' class signal detected in Tencent Holdings Limited (TCEHY). Running at an average wavelength of 74 days over 14 iterations since October 2020. Currently moving down.

Current Signal Status

Defining characteristics of the component detected over the sample period.

Detected Signal Class: A - learn more
Average Wavelength: 73.59 Days
Completed Iterations: 14

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).

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Phase: Hard Down
FM: +- 6 Days
AM: 0.7121
Next Trough Range: 24th July - 5th August, 2023
Next Peak Range: 30th August - 10th September, 2023

Sigma-L Recommendation: Late Sell
Time Target: ~ 30th July, 2023

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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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