Today, I launch Wally's Official 27-month PT of $100 for Strive, $ASST.
Strive is an impressive stock. Management has architected a well-oiled machine: Digital Credit is a winning product built on the best form of capital. The team provides clear communications and has spent a long time developing trust in the market. Liquidity is deep as a result, creating a gargantuan competitive moat and fueling a strong flywheel effect.
We assume through FY28E:
-A 30% CAGR in Bitcoin
-$77 million in $SATA issuance per week through YE26, then 50% growth a year
-0.5% new common shares per week
The result: 178.9k $BTC against $14.6 billion in $SATA, and $15.5 billion in Net Treasury Asset Value on 225.6 million shares.
That equates to $68 NTAV/share.
We then project a 30% BTC Yield of 31.8k BTC in FY28 at an ending price of $152.1k/BTC, resulting in $4.84 billion in Bitcoin earnings. We apply a 1.5x multiple to said Bitcoin earnings.
This equals a $32/share premium.
Add them together: A $100 price target for $ASST.
To the moon! ๐๐
Upside: $SATA demand is more rampant than expected, resulting in $100 million/wk into YE26. Weekly issuance grows 100% y/y thereafter. Bitcoin compounds 40%/yr. Strive gets a premium 2x bitcoin earnings multiple in FY28. Price reaches $230.
Downside: Bitcoin and digital credit demand dry up, AI growth outpaces need to print money, stock stays roughly flat.
Our full model is here: https://t.co/qx9IuvFM2L
You can change assumptions on the page as well. Extend out the levers tab in the top left corner of the website to do so.
Disclosure: Financial education, not investment advice. This is solely based on personal assumptions that should be taken with a grain of salt.
I completely agree. Turning on the amplification engine is a core priority of a digital credit provider. Buybacks are best when deeper discounts exist, but in the 99+ range, little to none exists.
As your maths shows, and as Matt Cole and the Strive team have presented on multiple charts, the dividend rate makes a minor impact on overall performance of a digital credit provider.
Raise the dividend, hit par, print the capital, buy BTC, raise amplification, profit.
There are now 169 $TSLA Cybercabs in Austin, up from 58 two weeks ago.
Here are my guesses for a broader Cybercab rollout:
1) ODDs (Operational Design Domains, like the city limits of Austin) will rapidly be stood up across new cities over the coming year.
2) I could see a 10k Cybercab fleet by late 2027 across double-digit cities.
3) I slowly see Cybercabs becoming available to consumers, who can only designate them to drive in approved ODDs. There is no steering wheel / pedals, so a consumer cannot take the Cybercab outside an ODD.
4) Slowly (multiple years), the radius of ODDs will expand, in a sweeping wave motion, until the whole nation is covered, driven by extreme superhuman safety.
5) Cybercabs become increasingly available as ODDs expand domestically.
6) I buy a Cybercab to drive me everywhere, pay dirt cheap insurance, and live the awesome life of never having to personally drive again.
7) Profit.
I just released my price target but might have to raise it if demand is this HOT ๐ฅ !!
$35 million (est.) in one day. My model assumes only $77 million per week in FY26.
At this rate, we hit $175 million this week.
Hyper-bullish!
My PT revisions would happen after Q ends.
$STRC is printing next week!
The $BTC engine will be live.
If it hits it early next week, I can imagine $500+ million raised in this dividend cycle.
๐๐๐๐๐๐
I imagine all money will eventually move via AI agents.
Humans will be the ideator, and then AI agents will source everything about the idea, whether it be arbitraging certain assets or buying/selling momentum, etc.
It is early days, but the shift is happening:
-Robinhood launched AI trading agents that can be set up in minutes.
-Cloudflare is opening agent settlements on $USDC.
-Stocks are becoming tokenized, so instant settlement of transactions is becoming possible.
-Markets are moving to 24/7, always-on.
-News moves instantaneously. Agents can notice it within seconds.
Even long-only, long-hold trades may be best calculated by AI agents in the future; however, I believe long-only, long-hold trades are still most practical via human purchases.
As for financial advisors, I almost cannot imagine a world where they exist except for being the human interface between AI agents and a clients portfolio.
A simple, proven portfolio: a basket of ETFs, some gold, some bonds, some $BTC (obviously) will soon simply be a conversation between an AI agent (maybe even on banking apps, like SoFI) that helps users looking for long-term wealth generation both generate a portfolio for their goals and then move money appropriately, all in minutes with no middleman or fees associated.
Introducing Gemini 4 Argon โ our new frontier model.
Itโs built for complex workflows across coding, enterprise knowledge work, and cybersecurity defense โ rolling out today to a set of trusted testers through our Fairwind Program.