Bitcoin ₿ULLS come in all shapes, sizes, colors, and creeds… but until the whole room is full of Bitcoiners, we should be the elephant in the room; impossible to ignore and impossible to avoid talking about! Know yourself; Be yourself. ~₿itcoin

21 Reasons I’ve Never Been More Bullish on Bitcoin Timestamps: 00:00 #1 Bitcoin’s 53% Bear Market Drawdown 00:49 #2 The 200-Week Moving Average 01:14 #3 Bitcoin Is Boring Again 01:32 #4 Long-Term Holders Own 79% 01:58 #5 Bitcoin Trades at 18 Ounces of Gold 02:34 #6 Volatility Has Fallen ⅔ Since 2014 03:10 #7 Lower Volatility Enables Bigger Allocations 03:32 #8 Bitcoin Is Becoming Better Collateral 04:16 #9 Falling Volatility Unlocks More Credit 04:58 #10 Digital Credit Changes Bitcoin 05:54 #11 The $300T+ Fixed Income Opportunity 06:15 #12 The Exit From Bitcoin Is Bitcoin 07:28 #13 Digital Credit Survived the Bear Market 07:57 #14 Public Companies Hold ~1.3M BTC 08:14 #15 ETF Demand Is Returning 08:30 #16 A 2% Allocation Could 14x Bitcoin 08:49 #17 U.S. Interest Expense Hits 3.3% of GDP 09:36 #18 35,000 BTC of Interest vs. 450 New BTC 09:58 #19 U.S. Money Supply Is Rising Again 10:16 #20 AI Is Making Everything More Abundant 10:43 #21 Bitcoin Remains Perfectly Scarce

BITCOIN IS THE APEX CAPITAL - CORPORATIONS NEED IT There is no better asset than Bitcoin. For some reason, most people don't bat an eye at share buybacks. Unfortunately, share buybacks are capital destruction. This case study makes the point for Bitcoin on a balance sheet:

Being able to go through the data this way has been awesome. And it shows how significant of a state change the past few days really were. Nothing like it in 120 days at 99th percentile volume.

I look to @AngryBuhda for @Strive ASST option analysis. That's the tweet. Bullish. Plan accordingly.

THE 8 C’s THAT TURN $3T INTO $100T Clarity. Credit. Costs. Custody. Capital. Competition. Currency. Companies. Strategy Executive Chairman Michael Saylor just dropped the entire playbook. He doesn’t want another 600-page bill of restrictions. He wants a bill of digital rights. Banks custodying Bitcoin and lending against it. Self-custody as a fundamental right. AI agents that actually move money 24/7 instead of waiting on 20th-century rails. The full fireside chat is here. Watch it! 🔥 🟠 💪

#Bitcoin will be $500,000 in the near future. #MSTR will be $1000 in the near future. #ASST Will be $140 in the near future. This is a club for the bold. Join the club!

How I track my location in the Bitcoin Cycle. Especially for the Deep Bear phase where I want to be accumulating aggressively and last weeks close triggered the exit. This isn't projecting price. It is like a map to be my compass in time. Having a sense of where we are helps us make better decisions. (I'll start sharing these cards more often until I release a proper website) $BTC $ASST $SATA $MSTR $STRC

True North Season 3 starts now. You are going to love the next episode. Stay tuned.

As I alluded to earlier today, I've spent the last two days working on an exciting feature that captures an important nuance in Bitcoin treasury management. The idea is simple. Every Bitcoin treasury company runs some amount of amplification (leverage) — primarily preferred stock or convertible debt — against its BTC. More amplification means more BTC per share on the way up. It also means the common equity gets wiped out faster on the way down. Until now, the Monster Model let you set a constant amplification target and watch what happened as the dynamic treasury management engine attempted to steer either company towards its target under the conditions set by your other parameters (BTC projection path, $STRC / $SATA growth path, USD management, etc.). But that didn't prevent the modeled company from drifting towards a balance sheet whose equity is wiped out in a crash. Now you can pick a share price you want $MSTR or $ASST to survive down to, and the model solves for the most amplification the company could carry if Bitcoin fell and mNAV collapsed. I call it the defensive amplification target, and it's now fully integrated into the dynamic treasury engine. If the system can run nominally, it does; but if the balance sheet gets stressed according to the parameters you specify, it sounds the alarm and begins taking decisive action. The feature calls for you to give it three things: (1) a share price to defend; (2) an mNAV to assume in the crash; and (3) how far Bitcoin might fall (as a fraction of its power law trend). The model works backward to the maximum liability load that still clears your defensive price, converts that to an implied amplification target, and pulls the company's target amplification down to that implied target whenever your own constant target would be higher. The new feature is off by default, so if you want to experiment with it, you'll need to toggle its checkbox, which you can find in the "Defensive target" fieldset in the Amplification section of the parameter pane. Two things I learned while building it that I didn't expect. → The first: capping the target isn't enough. The model doesn't hold amplification at the target — it accepts anything inside a tolerance band around the target, and only acts decisively to delever when amplification exceeds that band. So the target can read as being exactly where you set it while actual amplification sits at the band's upper edge, above your limit. The defense mechanism has to bind the upper edge, not the center; otherwise the width of the band is amplification you never authorized. At the sensitivities involved, a tolerance of 0.01 (one percentage point) in amplification ratio is worth about a dollar of share price — so your $80 floor quietly becomes a $79 floor. → The second: which dollars count. The model tracks "effective USD" — an internal metric inspired by the extension of the model (which was originally @Strategy-only) to @Strive. The Monster Model defines effective USD as all USD assets plus a user-specified haircut on any third-party perpetual preferreds the company holds. That's fine for normal reporting. But as we saw this summer, perpetual preferred equities are least saleable exactly when the common equity is under the most stress, which is the scenario you're trying to defend against. So the defensive calculation uses pure USD while everything else keeps the effective figure. Two different questions, two different answers. (If you don't like the idea of valuing PPE above $0 even during normal operation, feel free to change that parameter; it's called "Fraction PPE counted in Effective USD" and can be found in Strive's "USD and PPE Assets" section in the parameter pane.) If I'm being totally honest, this new feature is just absolutely sick. Watching the dynamic treasury management logic simultaneously dial back on preferred issuance while ramping up use of the common equity ATM to delever so that it can defend your chosen share price at your chosen power law level is an almost religious experience. This is reflexivity in motion, and highlights the power of modeling treasury companies (and Bitcoin itself) with a non-linear dynamical system. Also shipped: → A break-even mNAV basis toggle. Break-even mNAV marks where issuing common stops being accretive — but "accretive" has two meanings. Gross BTC per share is the one BTC Yield measures, and it ignores liabilities entirely. Net BTC per share counts only what's left after senior claims. Those give different answers, and the model was silently picking one based on which mNAV variant you were looking at. Now the user gets to choose, and the choice is always explicit. This is what I called a semantic bugfix in my earlier post from this morning. → As for the technical bugfix I alluded to — that turned out to be a false alarm stemming from Opus's misunderstanding of some of the nuances of the model's mNAV calculations. Once it understood, the issue became clearer, and the LLM agreed that there was only ever a semantic ambiguity. → The power law reference curves moved from +/- 40% to +/- 50% of trend, which is a more honest benchmark after the drawdown we just lived through. → And a batch of quieter fixes: terminology standardized across the parameter and series documentation, so "selected liabilities" and "USD assets" mean one thing each instead of three. The new changes are live at monstermodels.live. Please let me know if you encounter any issues, and as always, thank you for your support. 🧡 $MSTR $ASST $STRC $SATA $BTC #Bitcoin

Awesome convo with @PunterJeff and @IIICapital regarding Bitcoin as digital capital. Check it out: