@AlexesNakamoto Wouldn't be too hard on Zcash.
Likely has durable a niche.
No where near the network of BTC, of course.
A side-bet, maybe..
Recent closure of SEC investigation is relevent.
$BTC: -16% downside. +255% modeled upside.
Spot: $74K
Modeled floor: $62K
5-year modeled floor: $262K
Downside to floor: -16%
Upside to 5Y floor: +255%
Spot/floor: 1.19×
Floor CAGR: ~33%/yr
Decision: accumulate
Why?
Because the model is not pricing “low risk.”
It is pricing asymmetric risk.
The risk is waiting while the floor compounds.
#DYOR
Missing Bitcoin’s best 10 days turned +90% into -25%.
2020–2025 data:
Buy & hold median annual return: +90%
Miss the best 5 days: ~78 percentage points of damage
Miss the best 10 days: -25% median return
Total damage: ~115 percentage points
A reasonable odds bet?:
The IBIT dump was some OG's Bitcoiners who had moved a chunk of their self-custodied BTC into IBIT.
They are now breaking some capital loose to scale into private acquisition purchases of SpaceX / Open AI before their IPO's.
Sure, this may affect BTC spot price short term - but then, after the IPOs (& retail FOMO), they will take their capital and profits and move much of it back into Bitcoin, which will then rip.
Perfectly played.. 👍
@dotkrueger Silver lining?
A better thesis?:
Individual AI plays are a complete crapshoot
(the eventual winners will all be "obvious" in retrospect)
Bitcoin has much lower risk - greater Sharpe ratio.
Bitcoin is the safer play.
@HistoryBoomer OK, but is there a common "Black culture"?
Nigerians, Congolese, West Indians, ADOS, Somalians, etc?
(agree that American ideals are not dependant on skin pigment levels)
@dotkrueger Nice analysis from @david_eng_mba
The Power-law is NOT just retrofitted.
90 day action is mostly noise
True signal is revealed over years.
https://t.co/QI6SRgrzVN
The strongest evidence $BTC's Power Law is real is not the ~96% R²
It fails where noise should win.
Then wins where structure should matter.
The fit is strong:
R² = 0.961
Exponent ≈ 5.67
But that is not the proof.
Anything can fit the past.
The real test is out-of-sample.
Leak-free walk-forward vs random walk:
At every date, the model only sees data available at that date.
90d: -97.3%
180d: -3.2%
1Y: +49.1%
2Y: +76.5%
Median across the defensible window, 90d–2Y:
+23% OOS R²
At 90 days, it gets destroyed.
At 180 days, it is noise.
At 1 year, it cuts squared error roughly in half.
At 2 years, it cuts squared error by more than three-quarters.
That is not what a fake curve-fit usually looks like.
That is the signature of a long-duration adoption curve.
Short term:
liquidity, leverage, headlines, forced selling.
Long term:
fixed supply, adoption, network effects.
Residuals pass the sanity test too:
ADF p = 0.021
Deviations from trend have historically mean-reverted instead of wandering away.
Not a perfect law.
Not a trading signal.
A scale-invariant adoption structure that only shows up when time beats noise.
90 days is chaos.
1+ years is signal.
@mcuban@saylor@BenCowen88@MicroStrategy@IndiaBitcoinMan@garycardone007@GaryCardone
#Bitcoin #BTC #QuantResearch