Analysis suggested a flush into the $1,800s would be a bear trap, a liquidity grab designed to shake out weak hands before reversing aggressively.
ETH flushed to the $1,800s and reversed sharply. Exactly as documented.
Every thesis documented. Every outcome recorded. Wins and losses, with the thinking behind both. This is how trust should be built.
A lot of people are leaving crypto right now. Accounts going quiet. People selling at losses and moving on. Influencers pivoting to other things because engagement is down and it's not fun to talk about crypto when prices are falling.
I need you to do one thing for me.
When crypto is trading at new highs, and it will, when tokenization is on the front page of every major outlet, when the same people who quit are suddenly back with opinions and hindsight, remember this moment.
Remember who was here at the bottom doing this kind of work. Not recycling someone else's tweet. Not posting vague "we're early" motivation. Actually sitting down, spending weeks building a comprehensive framework, running the numbers, and handing you a playbook, while everyone else was checking out.
Newest first. Tap to expand.
Trillions in traditional assets (stocks, bonds, real estate) are moving onto blockchain infrastructure. The protocols that provide the rails (exchanges, lending, bridges) will capture fees on a dramatically larger base of volume. BlackRock listed its $2B+ BUIDL fund on a decentralized exchange. The CLARITY Act advanced through Congress. Larry Fink called this shift "as significant as email was to the postal service." This thesis is being built in real time. Individual token deep-dives, valuation models, and exit conditions are being published to subscribers as each section completes.
Analysis suggested a flush into the $1,800s would be a bear trap, a liquidity grab designed to shake out weak hands before reversing aggressively.
ETH flushed to the $1,800s and reversed sharply. Exactly as documented.
Macro analysis: NASDAQ decline was software sector repricing (Salesforce, ServiceNow, Intuit), not systemic collapse. Dow flat, banks green, Q4 earnings +13.2%, CPI 2.4% below expectations.
Markets stabilized and recovered. Sector rotation, not risk-off.
Major support holding. Funding rates deeply negative. Shorts overcrowded and paying. Macro backdrop not supporting crash narrative.
Bitcoin moved from $67K toward $72K within two weeks.
Started building long positions while launching the first section of the Mega-Trend Memo. Added at $81 for an average entry of ~$87.
SOL recovered to ~$100+ from documented entry levels.
Identified a bear flag pattern on Bitcoin's chart structure. Mapped three price levels with a measured target of $64,000 to $66,500. Published while prevailing sentiment was overwhelmingly bullish and most participants were positioned long. The market consensus was that Bitcoin would continue higher. The analysis said otherwise.
After the October crash, Hyperliquid had lost half its open interest. Every other major exchange recovered. Hyperliquid did not. The market was distracted by a temporary revenue spike from post-crash volatility. The analysis identified the structural decay underneath: when volatility normalized, revenue would collapse, and the valuation would follow. This was not a hunch. It was the result of analyzing over 4,000 data points on exchange flows, open interest recovery patterns, and revenue sustainability.
"September is always bad for crypto." That was the consensus, built on historical seasonality and a data sample that didn't hold up to scrutiny. The analysis showed the narrative was lazy and the underlying data pointed to strength. Six long positions were taken against the crowd.
Canton, an enterprise blockchain backed by Microsoft, Deloitte, and Goldman Sachs, was gaining significant traction. No token. No direct investment path. The analysis found SEND, the only liquid infrastructure project building on Canton. A classic setup: high-quality, under-the-radar, with a clear catalyst the market was ignoring.
In late October 2024, decentralized AI was dismissed as a toy. We built a diversified portfolio across 13 projects. 10% in the highest-conviction idea (VIRTUAL at $0.17), 0.5 to 2% across a basket of earlier-stage projects. 11 of 13 positions were profitable. The average return exceeded 1,550%. But the return is not the story. The exit is. On January 15, 2025, after extreme euphoria and a volatile recovery (VIRTUAL had crashed from $5.00 to $2.20, then bounced to $4.00), we observed a structural break. Most people saw a dip to buy. We saw the kind of damage narratives don't recover from. We issued a note to subscribers. We explained the reasoning. And we exited the entire sector.
Subscribers had access to every analysis above before the outcomes were known.
Full reasoning, entry conditions, and exit frameworks, published in real time.
Join The Club · $100/monthTrust isn't built on a curated highlight reel. We size positions expecting some will fail, and we document them the same way we document wins.
These are the necessary cost of a venture-style approach. We expect losses, and we size positions accordingly. The wins, driven by core theses, far outweigh the losses. A 50% loss requires 100% to break even. A 90% loss requires 1,000%. Knowing when to exit matters more than knowing what to buy.
Thesis-driven thinking of the best venture capitalists. Risk-obsessed capital preservation of the great macro traders.
Public analysis shared on Instagram before any paid product existed. Published freely, no monetization, no pitch.
Highlighted Bitcoin at $68,000 with a public thesis for $90,000.
BTC reached $90,000+.
Outlined Bitcoin weakness and upcoming break of $60,000 with a bottom at $50,000.
Played out as published.
Identified Across Protocol (ACX) at $0.40, an unknown project bridging millions in volume.
ACX reached $1.40+ within six months. +250%.
Highlighted TON at $3.80 before any mainstream attention.
TON ran to $8.30. +118%.
Every entry on this page was published to subscribers before the outcome was known.
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SubscriberThe next thesis is already in progress. The question is whether you'll have the analysis when it matters.
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