Meta Platforms Inc. (META) - 17th November 2023 | @ 136 Days | + 10.27%
Last trade: + 10.27% | 'B' class signal detected in Meta Platforms Inc. (META). Running at an average wavelength of 136 days over 9 iterations since September 2020. Currently peaking.
Meta Platforms, Inc., operating under the trade name Meta and previously known as Facebook, Inc. and TheFacebook, Inc., stands as an American multinational technology conglomerate situated in Menlo Park, California. This corporation possesses and manages various products and services including Facebook, Instagram, Threads, and WhatsApp.
ΣL Cycle Summary
After a period of ultimately sideways price action through September and October, price finally exploded upwards recently and has now reached what looks to be the peak of this prominent wave around 136 days average wavelength. Generally in line with other tech stocks the period from now to early December promises to be a crucial turning point in the medium term. We have tentatively upgraded this signal from ‘C’ to ‘B’ although it does still exhibit some significant frequency modulation of +- 20 days, see below for more details.
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 - Meta Platforms Inc. (META) 30th August 2023
Entry: 30th August 2023 @ 302.41
Exit: 17th November 2023 @ 333.47
Current Signal Status
Defining characteristics of the component detected over the sample period.
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 high-passed 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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