Jim Simons built the most successful fund in history on a quiet act of disrespect: he refused to believe the story. No theses about the Fed, no convictions about where oil “should” trade. Just data, oceans of it, and the discipline to let the numbers say something he hadn’t already decided to hear.
I’m not Renaissance. But every week I run the same posture at a smaller scale: a dashboard tracking roughly 2,800 Nasdaq stocks, their returns across six horizons, how close each sits to its highs, how widely they’re dispersed, and how the market’s biggest names are behaving against the breadth beneath them.
I do this to free myself from the specific stock and macro narratives that tend to become ingrained in our minds as we keep working around our thesis. Theses are fine, but if we let them persist way longer than their expiration date, they will stink. And this is the way I found to reset my mind before they do. And, this week the dashboard is saying things the headlines aren’t. So let me do the Simons thing and just report the data.
1. Leadership is quietly changing hands
The index looks serene. The Nasdaq 100 is up about 23% over three months. Underneath that number, a coup is underway.
The “generals”, the mega-caps that have led this entire bull market, are rolling over. Over the past month, eight of the ten largest names are down. Microsoft sits about 33% below its 52-week high; Meta about 29%; Tesla about 23%. As a group, the generals are now lagging the S&P.
And yet breadth is widening, not narrowing. Roughly 11% of the entire Nasdaq is printing fresh 20-day highs. Small caps are up about 20% over three months. And over the last month the leaders aren’t tech at all, they’re financials and industrials.
Translation: money isn’t leaving the market. It’s leaving the crowded trade. That’s a structurally healthier tape than a melt-up carried by five stocks, but it’s also the kind of regime where passively “owning the index” quietly means owning yesterday’s winners at the exact moment leadership rotates out from under them.
2. Almost everything in macro right now is one bet
Scan the asset classes and you’ll see what looks like a diversified spread of moves this month: gold −11%, silver −24%, oil −23%, the dollar +3%, volatility crushed (the VIX complex is down a third over the quarter), bitcoin −20%, bond prices up as yields fall.
It looks like five different stories. It is one.
Every one of those moves is the same trade expressed five ways: disinflation and the unwind of risk premia. Falling commodities, a rising dollar, falling yields, collapsing volatility, that’s a single latent factor. If you own “gold and bonds and short-vol,” you don’t hold three positions; you hold one position three times. The discipline Simons drilled was to count your bets honestly. The macro tape today is one bet, held with conviction.
And one signal refuses to play along. Credit isn’t confirming. High-yield is essentially flat against investment-grade. In a genuine risk-on rotation, junk should be outrunning quality, and it isn’t. That’s the single piece of data not corroborating the optimism, and it’s the one I’d keep on the screen.
3. This is a selection market, not an allocation market
Here’s the number that matters most and that almost no one cites: dispersion.
The standard deviation of three-month returns across the Nasdaq is roughly 50 percentage points. Nearly a third of stocks are up more than 20% over three months; about one in six is down more than 20%.
That spread is the whole game. When dispersion is this wide, the index return is nearly information-free, it’s the average of two completely different markets stapled together. The edge isn’t in deciding whether to be in stocks. It’s in the cross-section: which names, which factors, which clusters. A high-dispersion tape rewards selection and punishes the lazy index call. In the most literal sense, this is a stock-picker’s market, and it’s the data saying so, not me.
The part most macro writers leave out
Now the caveat Simons would insist on. Everything above is a snapshot. A single cross-section can rank the market; it cannot, on its own, predict it. I don’t yet know whether “stocks making 20-day highs on broadening breadth” actually outperform next month, I only know they did over the last three. So I’m doing the unglamorous work: capturing this dashboard every day, building the time series, and testing whether these signals genuinely forecast returns or merely describe the present.
(I’ll confess a smaller lesson from this week, too: my own volume data was briefly distorted by a timezone bug in the pipeline. Data hygiene isn’t a footnote, it is the job. The fastest way to lose money is to trust a number you haven’t audited.)
What the data supports, as probabilities, not prophecy
So I won’t hand you a price target or a grand thesis. I’ll give you three exposures the data backs, framed honestly:
- Leadership is broadening away from mega-cap tech toward small caps, financials, and industrials. Owning “the generals” is increasingly a bet against the tape.
- The macro complex is pricing one disinflation trade with real conviction. It may well keep working, but it’s concentrated, and credit is the canary. If high-yield starts to crack, the whole correlated bundle unwinds together.
- Dispersion is high enough that selection beats allocation. This is a market to be picky in, not passive.
That isn’t a story. It’s what ~2,800 stocks are actually doing. Simons would tell you the story is where most people lose money, and the data, approached with discipline and a great deal of humility, is where you occasionally find an edge.





Leave a comment