Monster ETF Scan

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Monster ETF Scan

Scan symbols 10
WGMILITMAGSBSTBSTZNVDLTSLLIBITFBTCDRAM
Watchlists 2
@etf-monster-universe@memory
raw scan snapshot — prices as of scan date, not live 24 rows · screens, not recommendations thesisMonster-ETF discovery scan v1. Built 2026-05-10 to fill a gap surfaced by the user ("we have a monster tracker but do we have a monster ETF tracker? DRAM is probably a weird edge case for now"). Curated 44-ticker universe spanning BTC ETFs, single-stock-leveraged, YieldMax synthetic-income, factor/quality/FCF, ARK family, niche thematic (Roundhill cohort), CEFs, dividend/quality — explicitly excluding pure leveraged-index plays (TQQQ/SOXL/SPXL) which are designed to run hot.monster criteria30d > 20% OR 3m > 30% OR (RSI > 70 AND pctFrom52wkHi > -3%)bug flaggedReverse-split distortion in 52wk-high field affects MSTU/MSTX/CONL (showing -88% to -92% from 52wk high while up 35-100% in 30d). Yahoo doesn't retroactively adjust 52wk ranges through reverse splits the way it does for forward splits. Future scan logic should treat pctFrom52wkHigh < -50% AND 30d > 25% as a "data is broken" sentinel, not a bearish flag.

Universe

44 ETFs/CEFs at etf-monster-universe. Built today to address coverage gap (no parallel to monster-discover for the ETF universe).

Tier 1 — Vertical takeoff (>30% in 30d)

Ticker 30d 3m RSI %from 52wkHi What it is
MSTU +98.7% +52.8% 64.9 -91.8% ⚠️ 2x MSTR (T-Rex) — reverse-split distortion
MSTX +97.8% +51.8% 64.3 -91.9% ⚠️ 2x MSTR (Defiance) — reverse-split distortion
TSLL +49.5% -1.5% 69.2 -34.2% 2x TSLA
WGMI +40.3% +32.4% 68.8 -14.5% BTC miners — cleanest monster shape
MSTY +35.7% +32.5% 65.4 -77.9% YieldMax MSTR income
CONL +35.1% +20.0% 53.8 -87.8% ⚠️ 1.5x COIN — possible reverse split
NVDL +34.1% +21.2% 64.6 -9.0% 2x NVDA

Tier 2 — At/near 52wk highs

Ticker 30d RSI %from 52wkHi What it is
LIT +19.6% 73.2 -0.2% ATH Lithium — quietly back from the dead
MAGS +14.7% 74.0 -0.3% ATH Roundhill Mag-7
BST +15.7% 75.6 -0.2% ATH BlackRock Sci/Tech CEF
BSTZ +20.2% 71.5 -1.9% BlackRock Sci/Tech CEF (sister)
ROBO +16.0% 64.0 -1.1% Robotics
BOTZ +15.6% 63.0 -3.0% Robotics
METV +14.8% 71.7 -11.8% Metaverse
BUFR +3.8% 74.4 -0.03% ATH Innovator buffer — *should be flat, isn't*

Tier 3 — Crypto basket (mid-trend, not yet parabolic)

IBIT (+17.1%), GBTC (+16.9%), FBTC (+11.1%), BITX (+21.6%) — all up 30d, all -36–70% from winter highs. RSI 61-63. Trend resuming but not exhausted. BTC ETF flow still positive.

Tier 4 — YieldMax cohort

MSTY (+35.7%), NVDY (+11.0%), TSLY (+17.6%), CONY (+15.5%). These follow the underlying with synthetic-income decay. Strong 30d move = flow going INTO these (retail income chase, not exit).

Coldest in universe

Ticker 30d What it is
NOBL -1.0% Dividend Aristocrats — defensive trade not working
NERD +0.2% Roundhill Esports — gaming theme cold
URNM +0.6% Uranium miners — ran hard last year, cooling
COWZ +1.9% Pacer Cash Cows — value/FCF underperforming AI/crypto/lev
AVUV +3.8% Avantis SC value
MOAT +2.7% Morningstar Wide Moat
KRBN +3.1% Carbon credits
COPX +2.9% Copper miners
NLR +3.2% Nuclear

The cold-tier story: classic defensive/value/dividend factors are NOT working. Quality and value have been left behind by the AI-infra rotation + crypto resurgence + single-stock-leveraged mania. This is itself a regime signal — when value bottom-decile underperforms speculative top-decile by ~100% in 30 days, the rotation is late-cycle.

Notable finds (the actual signal)

  1. WGMI is the cleanest monster — BTC miners +40% in 30d, near 52wk high, RSI 68.8. Cohort overlap with our ai-power-bottleneck thesis (CIFR/IREN/CORZ). WGMI is the basket version of names we already track. Belongs in ai-power.json as a basket-tier exposure.

  2. LIT at all-time-high — left for dead two years ago, quietly +26.5% in 3m, RSI 73, 0.2% from ATH. No FinTwit pumping, no rotation-recycler chatter. Genuinely contrarian breakout. EV battery demand inflecting? Worth a thread.

  3. BST/BSTZ closed-end funds at ATH — these are leveraged tech/sci closed-end funds from BlackRock. CEF wrapper gives them juice via leverage + occasional discount-to-NAV pricing. Both at all-time highs, RSI 75. Not on most people's radar because CEFs are sleepy.

  4. MAGS at ATH — Roundhill Mag-7. Pure beta to the seven biggest names. RSI 74, 0.3% from ATH. The Mag-7 trade is back on full force.

  5. BUFR is a tell — Innovator buffer ETFs are designed to cap upside in exchange for downside protection. BUFR at all-time-high RSI 74.4 means even the buffered upside is being captured — that's late-cycle behavior in plain English.

Bug — initial diagnosis CORRECTED 2026-05-10 afternoon

Initial diagnosis: "MSTU/MSTX/CONL show -88 to -92% from 52wk high while +35-100% in 30d = reverse-split distortion in yfinance."

Correct diagnosis (after direct OHLC inspection): Not a data bug. MSTU's 12m OHLC max close is $106.80; current $8.86; that's a real -91.7% drawdown. Same for MSTX/CONL. This is genuine volatility decay — daily 2x reset on a choppy MSTR/COIN underlying eats NAV regardless of underlying direction. The +35-100% 30d move IS a real bounce off the lows, but it doesn't mean the fund is "near recovery" — the 52wk high benchmark is just inappropriate for daily-reset products.

The fix is methodology, not data. v2 scan (2026-05-10-scan-monster-etf-v2) addresses this via mechanism-aware filters: for daily-reset-leveraged and synthetic-income classes, the 52wk-high comparison is ignored entirely (replaced with leverage-adjusted change30d as the primary tier signal).

Methodology insight

Single-stock leveraged ETFs (NVDL, TSLL, MSTU, MSTX, CONL) are 2x or 1.5x by design — they're the new meme-shape products. Their massive 30d returns ARE NOT alpha; they're just leverage on the underlying being hot. To find genuine ETF monsters (where the theme is breaking out, not just the underlying name), the next iteration should:

  1. Tag every leveraged ETF with its underlying + leverage factor
  2. Compute "leverage-adjusted 30d return" = change30d / leverage_factor
  3. Surface ETFs where leverage-adjusted return > 15% (real thematic breakout) vs noise

Same applies to YieldMax — strip out the synthetic-income mechanics to find genuine signal.

Next iteration ideas

  • Add: SCHG, IWO (small-cap growth), FNDA, RDVY, NUKZ (nuclear), HUMN (humanoid robotics, new

Roundhill product), CHAT (Roundhill AI), BIGB (Big Tech)

  • Build a "leverage-adjusted return" filter
  • Schedule weekly: monster-etf-scan as a CLI; surface tier-1 + tier-2 every Friday during

full scan

  • Add a discount-to-NAV check for CEFs (BST/BSTZ/PDI/USA) — premium CEFs are usually a sell signal

Sources

  • yfinance via `cd stonks && the desk's own tooling
  • Pre-computed summary at etf-monster-universe
  • Universe definition at etf-monster-universe
9 events
DateTypeEvent
May 23 ArticleWeird-ETF rotation read — MSTR-leverage breakdown, AI-stack narrowing, defensives flat May 10 ScanMonster ETF Scan v2 May 29 ScanMonster ETF Scan v2 Jun 1 ScanMonster ETF Scan v2 Jun 25 ScanMonster ETF Scan v2 May 29 ScanMonster Scan Aug 12 ScanMonster Scan Aug 13 ScanMonster Scan Aug 17 ScanMonster Scan

No direct external sources are attached to this read.