As $MSTR officially enters the NDX 100 today, here is my 1-page executive summary on the "Theory of MicroStrategy" and how to profit off of the unstoppable hyperfinancialization of finance.
The trade of the decade is just getting started. Buckle up.
Some constructive suggestions for @saylor, @phongle and @Strategy.
1. Minimise the memes.
They may generate attention but right now they are damaging the company’s reputation and credibility more than building it.
The strategy is strong enough to stand on its own. It doesn't need unnecessary hype to sell it.
2. Minimise the use of language like "risk-free rate" around $STRC.
Let the market come to that conclusion as and when it feels necessary.
3. Minimise marketing $STRC as effectively a money-market equivalent until it actually behaves like one.
Alternatively, create an entirely new category.
You are the Category King of Digital Credit. You make the rules.
4. Minimise the active use of volatility-based metrics and the Sharpe ratio as proof of $STRC’s success.
They are misleading and create unnecessary attack surfaces.
The product is not even a year old. Let the track record mature before declaring victory.
5. Maximise conservatism.
The best way to protect the strategy to build credibility, reduce unnecessary attack surfaces and let the strategy itself do the talking.
Under-promise. Over-deliver.
6. Stay humble. Stack sats.
Strategy was at its best when it was quietly going about its business and executing without drawing unwanted attention.
This is the way.
For what it's worth (not financial advice), $MSTR is the only stock I own.
I don't buy things I don't understand.
I have spent the past 5 years studying MSTR, listening to @saylor, and educating myself on the nuances of what they're trying to achieve.
Brad Gerstner (@altcap) discussed how upcoming AI IPOs, including @SpaceX, @AnthropicAI, and @OpenAI, could impact capital flows and broader market dynamics.
He noted that participating in large IPOs often requires reallocating capital from existing positions, and commented that recent moves across AI and technology markets have happened very quickly.
Brad also said that periods of consolidation in AI-related markets following strong rallies would not be unusual.