Live From Bitcoin Beach - El Salvador:
You Think You’re Sovereign Until You Test Bitcoin In The Real World (Not On Twitter)
You Think You’re Sovereign Until You Test Bitcoin In The Real World (Not On Twitter)
Delving Bitcoin - Latest posts:
Understanding and Mitigating a OP_CTV Footgun: The Unsatisfiable UTXO
Understanding and Mitigating a OP_CTV Footgun: The Unsatisfiable UTXO
RED VOZ LIBRE (Sin Censuras):
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Cuando los reyes de España abjuran de Dios
The Linux Mint Blog:
Linux Mint 22.3 “Zena” – BETA Release
Linux Mint 22.3 “Zena” – BETA Release
TheMinerMag - Bitcoin Mining Stocks, Data, Research and Analysis:
US Energy Regulator Directs PJM to Clarify Grid Rules for Co-Located AI Data Centers
US Energy Regulator Directs PJM to Clarify Grid Rules for Co-Located AI Data Centers
CryptoCon
For people who are watching traditional Bitcoin cycle top #metric's and wondering... "Why haven't any of them triggered if the cycle top is in?"
Diminishing pressure is likely the answer.
As returns diminish, so do metric values.
In 2021, data like #MVRV, RHODL, and many others failed to reach their #cycle top zones. They had to be reworked with lower zones to potentially work in the next cycle.
Several popular log growth curve models and rainbow curves completely failed to achieve their cycle top levels, and during the bear market price broke through them to the downside and never returned inside the model.
Just because a model or data piece has been good in the past doesn't guarantee that going forward. Models that have price expectations that are too optimistic will break.
This is why it's important to use data from as many sources as possible to come to a good conclusion.
>> Rota Hodler
For people who are watching traditional Bitcoin cycle top #metric's and wondering... "Why haven't any of them triggered if the cycle top is in?"
Diminishing pressure is likely the answer.
As returns diminish, so do metric values.
In 2021, data like #MVRV, RHODL, and many others failed to reach their #cycle top zones. They had to be reworked with lower zones to potentially work in the next cycle.
Several popular log growth curve models and rainbow curves completely failed to achieve their cycle top levels, and during the bear market price broke through them to the downside and never returned inside the model.
Just because a model or data piece has been good in the past doesn't guarantee that going forward. Models that have price expectations that are too optimistic will break.
This is why it's important to use data from as many sources as possible to come to a good conclusion.
>> Rota Hodler