Leo Heart
Bitcoin epochs pass, the trend remains.
The predictive power of the power law over blocks trend increases cycle after #cycle #Halving
#KeepStacking
Bitcoin epochs pass, the trend remains.
The predictive power of the power law over blocks trend increases cycle after #cycle #Halving
#KeepStacking
Leo Heart
Forget basic log curves.
This is the Bitcoin Root-Scale
#Cycle model by leomathheart.
It combines
- Power Laws,
- Volatility Decay, and
- Sinusoidal Waves
to forecast the future of $BTC.
⚡️ REVIEW
Forget basic log curves.
This is the Bitcoin Root-Scale
#Cycle model by leomathheart.
It combines
- Power Laws,
- Volatility Decay, and
- Sinusoidal Waves
to forecast the future of $BTC.
⚡️ REVIEW
Leo Heart #Cycle #Bear #Bull
This chart shows the same dynamics of the cycles, measured in days.
Keep in mind that the average epoch time is 1430 days. Compare it to my h-clock.
We’re in the most divided period of the entire CRYPTO CYCLE!
Bulls keep posting $150k $BTC charts
Bears screaming about BTC at $40k
But who is right? I researched all the data
Here is current macro, cycle state and what will be next🧵👉 𝗖𝗛𝗔𝗜𝗡 𝗠𝗜𝗡𝗗 ⛓🧠
This chart shows the same dynamics of the cycles, measured in days.
Keep in mind that the average epoch time is 1430 days. Compare it to my h-clock.
We’re in the most divided period of the entire CRYPTO CYCLE!
Bulls keep posting $150k $BTC charts
Bears screaming about BTC at $40k
But who is right? I researched all the data
Here is current macro, cycle state and what will be next🧵👉 𝗖𝗛𝗔𝗜𝗡 𝗠𝗜𝗡𝗗 ⛓🧠
CryptoCon DEC/02/2025
The "First #Cycle Top" on the #Fibonacci #Halving would have been off by about 2 months (depending on where you place it), but the cycle top mark was nearly dead at just 2 weeks post the October cycle top.
I distinctly remember before the last bear market in 2022, we heard the same song and dance:
"Bitcoin will not see a bear market this go around because institutions, etc. Only 30% corrections from here on out."
On every price bump, you'll see: "Bottom's in, new ATHs soon." That's the bear market trap.
The #bear market usually takes the full year to play out, so it's a long, painful process.
>> Rota Hodler
The "First #Cycle Top" on the #Fibonacci #Halving would have been off by about 2 months (depending on where you place it), but the cycle top mark was nearly dead at just 2 weeks post the October cycle top.
I distinctly remember before the last bear market in 2022, we heard the same song and dance:
"Bitcoin will not see a bear market this go around because institutions, etc. Only 30% corrections from here on out."
On every price bump, you'll see: "Bottom's in, new ATHs soon." That's the bear market trap.
The #bear market usually takes the full year to play out, so it's a long, painful process.
>> Rota Hodler
CryptoCon
The cycle top of the Monthly Fisher Transform is complete with the 3rd crossover of the #cycle, lining up perfectly within the Halving Cycles Theory time frame.
>> Rota Hodler
The cycle top of the Monthly Fisher Transform is complete with the 3rd crossover of the #cycle, lining up perfectly within the Halving Cycles Theory time frame.
>> Rota Hodler
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
Leo Heart Dec/22/2025
While prominent Bitcoin analysts like #ArthurHayes and researchers at #K33 argue that the traditional 4-year halving cycles are dead due to institutional adoption, ETF inflows, and shifting monetary policies, this root-scale chart tells a different story.
All 5 out of 5 #cycle tops (H1 through H5) have been modeled with remarkable precision using a single natural cycle framework tied to Bitcoin's block production. The pattern holds strong, with projections extending into 2028 showing no signs of the cycles fading.
If the data fits this tightly, why declare the end? Cycles aren't over—they're evolving, but still very much alive.
>> Rota Hodler
While prominent Bitcoin analysts like #ArthurHayes and researchers at #K33 argue that the traditional 4-year halving cycles are dead due to institutional adoption, ETF inflows, and shifting monetary policies, this root-scale chart tells a different story.
All 5 out of 5 #cycle tops (H1 through H5) have been modeled with remarkable precision using a single natural cycle framework tied to Bitcoin's block production. The pattern holds strong, with projections extending into 2028 showing no signs of the cycles fading.
If the data fits this tightly, why declare the end? Cycles aren't over—they're evolving, but still very much alive.
>> Rota Hodler