“As SpaceX IPO rumors reached a fever pitch, thousands of small investors searched for SpaceX to get in on the action. Many mistakenly ended up buying or requesting allocations for Virgin Galactic ($SPCE) instead, since tickers looked similar. This caused $SPCE stock to skyrocket by over 170% at one point. Once the mistake was realized, shares quickly crashed by 30% to 40% in a matter of days, leaving uninformed investors with massive losses.”
Most retail investors act like morons. They see a company they like (for whatever reason). They buy it. Then they assemble reasons why they were right. The story feels like analysis. But the conclusion was reached before the work began.
This is different. Everything here starts with a macro trend and works its way down to a company. The direction matters: it changes what you own and why, which changes what you do when things go wrong.
I. The Problem With How Most People Invest
The rationalization trap has three symptoms.
1. No macro anchor. If you bought a semiconductor stock because you heard AI was going to be big, you own it for a story, not a thesis. A thesis specifies which macroeconomic and structural conditions must hold for the investment to work. A story doesn’t. When the Fed raises rates and growth multiples compress across the board, the story investor is surprised.
2. No exit criteria. If you didn’t define what would make you wrong before you bought, you will not know when to sell. You’ll hold through deteriorating fundamentals telling yourself the market doesn’t understand the long-term vision. Sometimes you’ll be right. More often you’ll be sitting on a 40% loss waiting for a recovery the underlying business no longer supports.
3. No understanding of the big picture. A company can execute perfectly and still be the wrong investment if the macro turns. Thesis-level thinking forces you to understand what conditions the company needs to thrive — and whether those conditions are still intact.
Rigorous institutional research costs $10,000 to $50,000 a year and is built for professional allocators. Retail research services are affordable but mostly stock-first and narrative-driven, with little systematic process and no macro framework. The serious, framework-based thematic research space designed for sophisticated individual investors is largely empty. That’s where Conviction Stack lives.
II. The Workflow
Macro Trend → Industry → Segment → Company.
Each level removes noise. Each level gets more granular. And each level must earn its place before the next one opens.
It starts with a macro trend — a durable, structural force. Not a cycle. Something demographic, technological, or geopolitical that is already in motion and will remain in motion. AI infrastructure buildout. Defense spending driven by geopolitical fragmentation. The repatriation of supply chains after decades of offshoring.
The question becomes: which industry sits in the path of this force and captures the rent? Trends don’t reward uniformly. Identifying where value concentrates within a trend is as important as identifying the trend.
Then it gets more granular: within that industry, which segment? The AI supercycle is real. But the returns from it have not been distributed evenly. You have to know which node in the value chain captures the margin.
Only then does the company selection begin. The stocks that survive to this level aren’t picked. They’re surfaced. Most investors start at the bottom and work up. The cascade forces the opposite: start at the top, earn each level, and let the framework do the filtering.
III. The Filters
A gate is a filter that a thesis must pass before moving to the next level. Any gate can kill the idea — and killing ideas early is the point.
1. Equity risk premium filter. Is the macro environment compensating equity investors enough to justify the risk over risk-free Treasuries? A dynamic relationship between the S&P earnings yield and the 10-year Treasury rate. When that spread approaches zero, the case for owning volatile equities weakens. “Don’t fight the Fed” as your grandpa used to say.
2. Value chain filter. Where in the chain do the dollars flow, and who actually captures them? This filter identifies where pricing power sits before any company analysis begins.
3. Bottleneck filter. Is there a structural chokepoint in the supply chain? Chokepoints create inelastic demand and pricing power. They are the mechanism by which trends translate into stock returns.
4. Margin extraction filter. Does the bottleneck position actually translate to expanding and sustainable margins? A full analysis of product economics, industry structure, competitive dynamics, and cost structure, all to answer one question: can this company hold the toll booth and keep raising the toll?
5. Management filter. Does management have skin in the game? Do they believe in their own company?
6. Valuation filter. Is the entry point reasonable, or has the market already priced in perfection? Parabolic chart patterns are automatic disqualifiers regardless of thesis quality. No margin of safety means no asymmetric return.
Each filter gets its own post. Positions are re-evaluated continuously. Quarterly earnings, policy changes, competitive developments — each one triggers a gate re-evaluation. The question is always the same: has anything materially changed?
IV. What This Is Not
This is not a stock tips newsletter. What it is: a documented, systematic workflow for filtering noise and stress-testing a thesis before capital is committed. Human judgment handles thesis construction, logical integrity, and the final call. AI handles the rest.
V. Coming Next
The next posts will walk through filters and active theses in detail.
Conviction Stack publishes systematic thematic research for serious investors. The thesis is human. The work is automated.