Dad*Husband*Wealth Advisor*Occasional athlete*BTC class 2017*Bitcoin only -all others are shitcoins.(usually) snappy opinions are my own*not financial advice
St Louis
Joined December 2011
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Maurice Mo Schutte retweeted
If Massie loses tonight, he should run for President.
If Massie wins tonight, he should run for President.
@tmastl @DougVaughn_KMOV @tmckernan @martinkilcoyne2 @Jackson_Burkett @kginotown @iggystrode Why didn’t these gents fold their pocket aces? Should she have folded pocket Kings??? Love the show fellas - have a great weekend!
Maurice Mo Schutte retweeted
It’s not a cult, it’s the best answer to a flawed system. If you had $100 million net worth would you buy a fucking baseball card with 10% of your CFA wealth? There is a limited market - a small number of rich people who will pay $ for a baseball card, a painting, a house on the beach, a shiny metal coin or any other store of value. All of those “safe” holdings have their associated problems/risks/ongoing maintenance costs. There are BILLIONS of people who get fucked by their gobbermint deflating their $ every day creating money out of thin air and spending. Those BILLIONS of people need a better money. Bitcoin solves this for BILLIONS of people. Set your CFA aside and read Satoshi’s white paper to start - its founding principals /code can’t or are hard to change - similar to constitution of the US … main point is people are fallible and weak. Too much trust in the system is required to make current system work. You are CFA, I’m almost 30 yrs as financial advisor - you and i are among the last people to understand bitcoin - but since we help people with their plans, it’s important we study and incorporate it into our practice. (Bitcoin only - no shitcoins!) reach out, glad to talk. Mo
Will not be at MSTR 2026 (1st miss in 4 years) but i want receipts from all the fun you have @dgt10011 @ColeMacro @PunterJeff @Werkman @Z06Z07 @RussellOkung @ejuline @natbrunell @samcallah @BitcoinPierre @TimKotzman and everyone else!
Maurice Mo Schutte retweeted
Everyone: You’re so lucky to have ridden Bitcoin all those years.
The ride:
Maurice Mo Schutte retweeted
PSA MSTR SHAREHOLDERS:
REPOST THIS FOR MAXIMUM VISIBILITY
A lot of people don’t know this:
Your broker may be lending out your MSTR shares to the same short sellers betting against you.
YOU CAN STOP THAT WITH ONE PHONE CALL.
Ask them to move your shares to the cash (fully paid) side of your account so they can’t be lent without your consent.
This is not financial advice.
Just basic shareholder rights that nobody ever tells retail.
I wonder what would happen if EVERYONE did this? 🤔🤔🤔
Maurice Mo Schutte retweeted
JUST IN: Large numbers of users are allegedly rushing to close accounts at JP Morgan following a premeditated attack on $MSTR shareholders.
Maurice Mo Schutte retweeted
If you are a true long-term Bitcoin investor this is the only model you need.
It's a conviction model that is cycle-length agnostic and probabilistic—providing a range of possible outcomes rather than a single prediction at a specific time.
**Not Financial Advice**
**I Do Not Promote Trading Bitcoin**
The lower half of the model (0-50 Quantile) has an R² of 99.72%—absurdly accurate.
Where Bitcoin falls within this range depends on a multitude of external market factors, human psychology, etc.
The wide range is a statistical reflection of Bitcoin's historical volatility across its full dataset.
However, this range is narrowing over time as Bitcoin's long-term volatility continues its clear downtrend.
As a full-time, unpaid Bitcoin researcher, I'm often asked how people can best support my free content.
Just bookmark, repost, and comment on my posts :)
Follow my account + notifications on for regular updates.
Thanks for all your continued support!
— Plan C
Key Model Features
1. Quantile lines never cross—mathematically impossible.
2. Cycle-length agnostic.
3. 134,500+ data points and 1,500 lines of code.
4. Fits and stores 999 quantile levels (τ = 0.001–0.999 in 0.001 steps) and identifies which level the last price is closest to.
5. Fits the two leading decay functions (stretched exponential decay & exponential decay) and selects the better fit via quantile-appropriate AIC, using Akaike weights to identify the best-supported decay function.
