We are going to see another global shutdown due to covid-19. High probability of it being the P.1 variant.
_________________________ Y2K Tech Crash of 2000-2002
The 2008 Recession of 2007-2009
The Great Paradigm Shift of 2020-2022
The Great Paradigm Shift will lead into the biggest shift of wealth in our human history. +73% global monetary distribution. It will lead us to the cybernetic era of advancement, which will be come to be known as the 4th industrial revolution. ________________________________
_____________________________________________ FFT of 1 Week Data of S&P 500 . Peep the Stats: -3.25 STD deviation resets on each previous crash. Currently at 1.87 ABOVE MEAN NET 0. TOPPPED. Kinetic Energy at a staggering 8:1 STD Y2K: 1015 days 2008: 650 days. 2020-2022: 120 days give or take error by 2 weeks. Between Y2K and 2008 velocity and slope increase substantially between cycles.. This next cycle is amplified @ 9:1 compression against volatility metrics: First Order (VIX) and Second Order (UVXY). ________________________________
Simple Structural Analysis of Previous Reset Cycles. ____________________________________________ -75% to Ecosystem.
Strike $1100.00 @ 1 Week Mean Reversion
Y2K DoT Com.
2008 Recession.
2021 The Great Black Swan
2021-2028 "The Roaring 20's". __________________________
Can you deny it?
I mean you can try too.
It is simply one little scrubs opinion.
My opinion is one with nature.
Revert to the Mean.
Do we live in a simulation? Maybe... It certainly feels like it.
Thanks for Pondering the Unknown with Me,
Glitch420
Glitch420
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Baseline Snapshot
Time-Series is now Active: 1 Week Time-Frame.
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Binary Execution Imminent.
Micro View of Macro fractal.
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Nota
:)
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VOL of VIX at 2 Hour TF.
Correlates perfectly with the modeled fractals.
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Nota
Nota
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It doesn't matter how many times I fail in your view.
Success is hidden from the fool as the guise to failure.
Develop both propositions.
You realize the implications of this right..
High frequency trading algorithms are not immune to being deciphered.
Artificial Intelligence Networks are not immune to being deciphered.
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