1. Call a sell-off's end with a breadth divergence, not the price low
The repeatable method
- During a pullback, plot the index against a participation/breadth gauge (here the % of stocks above their 50-day average — the "50dma breadth indicator").
- Look for a bullish divergence: the index makes a lower low while breadth makes a higher low — i.e. fewer and fewer stocks are confirming the new price weakness. That non-confirmation is the tell that selling pressure is exhausting.
- Cross-reference how far price actually fell relative to key supports: a "healthy" sell-off only grazes them (here the 50-day average and the 7200 level) rather than slicing through.
Now: the index barely tested the 50dma / 7200 support while breadth trended up into a bullish divergence — Thomas reads the short-sharp sell-off as having "largely run its course."
Watch for
- Breadth carving a higher low as price makes a lower low; price respecting (vs breaking) the 50-day average and round-number supports; breadth rolling back over to negate the divergence.
2. Use leveraged-long ETF flows as a dip-buying "smart money" read
The repeatable method
- During a dip, track trading volume/flows in leveraged-long equity ETFs as a proxy for aggressive dip-buying conviction.
- Treat a surge in leveraged-long activity into the weakness as a "smart money" buy-the-dip signal — but remember it can be early (it fired in late-2021 ahead of the top), so use it as supporting evidence, not a standalone trigger.
- Pair it with the breadth-divergence read (insight 1): flows tell you who is buying, breadth tells you whether the buying is broad.
Now: heavy leveraged-long ETF trading during the dip — Thomas reads it as smart money buying, reinforcing that the space-driven sell-off has run its course.
Watch for
- Spikes in leveraged-long ETF volume/AUM into weakness; whether the signal is confirmed by breadth and price holding support; the late-2021 caution that the signal can lead the turn.
3. Confirm broadening with equal-weight + small-caps new highs
The repeatable method
- To check whether a rally is healthy or just a megacap mirage, watch two breadth proxies for fresh all-time highs: the equal-weighted index (RSP, which neutralizes megacap dominance) and small caps (IWM).
- When both the average stock and the small-caps make new highs alongside the cap-weight index, participation is broadening — a sturdier base than narrow megacap leadership.
- Layer the relative-strength check from insight 4 on top: new absolute highs plus improving relative strength versus Mag-7 is the full broadening signal.
Now: RSP and IWM both printed new all-time highs Friday — Thomas reads it as bull-market broadening, not just megacap-driven strength.
Watch for
- Equal-weight and small-cap indices confirming the cap-weight index at new highs (vs lagging); a failure where only the megacaps make new highs (a narrowing warning).
4. Screen for rotation when valuations and technicals align
The repeatable method
- Map the valuation spread: largest stocks expensive (high expectations, easy to disappoint) vs smaller stocks cheap (subdued expectations, room to surprise).
- Overlay the technical read: is the cheap cohort turning the corner on a relative basis (small caps outperforming Mag-7)? Rotation needs both legs — cheapness alone isn't a catalyst.
- Define the two outcomes: bullish rotation = the weak/overlooked cohort plays catch-up and pulls the index along; the bearish alternative = the overheated cohort catches-down and breaks the index. Position for catch-up only once relative strength confirms.
Now: "bigs expensive, small caps cheap" and small caps turning up relative to Mag-7 — "valuations and technicals align," so Thomas leans into the rotation case.
Watch for
- The small-cap-vs-Mag-7 relative line trending up (catch-up) vs the megacaps rolling over (catch-down); the valuation gap between bigs and smalls; confirmation that rotation is broadening the index rather than breaking it.
5. Gauge cycle stage from defensives' shrinking earnings share
The repeatable method
- Track the earnings share of defensive sectors (utilities, healthcare, staples) over time, alongside their share of market cap.
- Read the cycle position from the pattern: defensives' earnings share probing the lows is a late-cycle tell (compare the dot-com peak), while it spikes during downturns (compare the GFC) because defensive earnings "just plod along" while cyclicals collapse.
- Use it as a structural caution flag, not a timing trigger — and check the flip side: cap-weight index investors with tech now ~2/3 of the market are unknowingly all-in on tech and under-diversified, so the read doubles as a portfolio-concentration audit.
Now: tech-plus is ~2/3 of US market cap and defensives are "phasing out to obscurity" — late-cycle on Thomas's read; "not an imminent risk signal, but prompt to ponder plans for the next phase."
Watch for
- Defensives' earnings share probing fresh lows (late-cycle) vs spiking (downturn underway); tech's share of market cap vs its share of earnings; your own cap-weight exposure to the tech concentration.
6. Expect buy-the-rumor-sell-the-fact around a marquee IPO
The repeatable method
- Ahead of a high-profile listing, identify the public "proxies" investors buy to play the theme (here, the listed space stocks) and watch them run up into the event.
- On and after the debut, expect a buy-the-rumor-sell-the-fact unwind — plus a specific twist: money rotating out of proxies and into the real thing once it's investable (selling space proxies to buy SpaceX itself).
- Separate the short-term flow dislocation from the long-term structural read: a giant new listing can be a near-term headwind for proxies yet a long-term tailwind for the whole sector (more attention, more active & passive fund flows).
Now: the 10-stock space index fell ~32% from its 28-May peak (-12% on debut day) as SPCX popped +19.22% — buy-rumor-sell-fact and proxy rotation; Thomas still sees the listing as longer-term bullish for space stocks.
Watch for
- Proxy names running up into a listing then unwinding; flows leaving proxies for the newly listed name; the new sector's share of market cap (~0.2%→~3% here) as a gauge of forced index/ETF allocation over time.