Monster ETF Scan v2
Scan
Monster ETF Scan v2
raw scan snapshot — prices as of scan date, not live 31 rows · screens, not recommendations lane lifecyclerecurringthesisMonster-ETF scan v2 — mechanism-aware (leverage-adjusted returns + ignores 52wk-high for daily-reset/synthetic-income classes)scan version2universe size77
Tier 1 — Vertical takeoff (leverage-adjusted >25% 30d OR >30% 3m)
| Ticker | Mechanism | 30d | Leverage-adj 30d | 3m | RSI | %from 52wkHi | Underlying |
|---|---|---|---|---|---|---|---|
| NUGT | daily-reset-leveraged (2x) | +77.2% | +38.6% adj | +14.0% | 61 | n/a (decay) | NYSE-Arca-Gold-Miners |
| MSTX | daily-reset-leveraged (2x) | +71.7% | +35.8% adj | -50.7% | 61 | n/a (decay) | MSTR |
| MSTU | daily-reset-leveraged (2x) | +69.8% | +34.9% adj | -51.0% | 60 | n/a (decay) | MSTR |
| ARKG | active-discretionary (1x) | +27.0% | 1x | +37.5% | 60 | -5.7% | genomic |
| LABU | daily-reset-leveraged (3x) | +27.4% | +9.1% adj | +51.4% | 52 | n/a (decay) | S&P-Biotechnology-Select-Industry |
Tier 2 — ATH breakout (near 52wk high + RSI > 65)
| Ticker | Mechanism | 30d | Leverage-adj 30d | 3m | RSI | %from 52wkHi | Underlying |
|---|---|---|---|---|---|---|---|
| AVDV | active-discretionary (1x) | +10.0% | 1x | +2.0% | 66 | -1.3% | Intl-SC-value |
| COWZ | thematic-rules-based (1x) | +6.7% | 1x | +11.4% | 72 | -0.2% | FCF-100 |
| MOAT | thematic-rules-based (1x) | +6.6% | 1x | +10.9% | 66 | -0.5% | wide-moat |
| CALF | thematic-rules-based (1x) | +4.7% | 1x | +15.6% | 66 | -0.8% | FCF-SC |
Tier 3 — Uptrend (leverage-adjusted >10% 30d)
| Ticker | Mechanism | 30d | Leverage-adj 30d | 3m | RSI | %from 52wkHi | Underlying |
|---|---|---|---|---|---|---|---|
| DRAM | thematic-rules-based (1x) | +24.5% | 1x | -11.7% | 50 | -31.4% | memory-HBM-basket |
| COPX | thematic-rules-based (1x) | +24.0% | 1x | +7.1% | 65 | -5.6% | copper-miners |
| BITX | daily-reset-leveraged (2x) | +45.4% | +22.7% adj | +3.6% | 70 | n/a (decay) | BTC |
| FBTC | crypto-spot (1x) | +22.0% | 1x | +5.5% | 71 | -38.8% | BTC |
| GBTC | crypto-spot (1x) | +22.0% | 1x | +5.2% | 71 | -39.5% | BTC |
| IBIT | crypto-spot (1x) | +21.9% | 1x | +5.5% | 71 | -38.9% | BTC |
| MJ | thematic-rules-based (1x) | +21.0% | 1x | -0.1% | 65 | -43.3% | cannabis |
| URNM | thematic-rules-based (1x) | +20.2% | 1x | -7.5% | 53 | -33.3% | uranium-miners |
| ARKK | active-discretionary (1x) | +19.9% | 1x | +3.2% | 57 | -8.7% | innovation |
| MSTY | synthetic-income (1x) | +18.4% | 1x | -33.6% | 58 | n/a (decay) | MSTR |
| BSTZ | closed-end-fund (1x) | +17.8% | 1x | +2.9% | 60 | -1.9% | sci-tech-term |
| CHAT | thematic-rules-based (1x) | +16.7% | 1x | -11.4% | 48 | -17.3% | AI |
| TSLL | daily-reset-leveraged (2x) | +33.2% | +16.6% adj | -43.6% | 49 | n/a (decay) | TSLA |
| BST | closed-end-fund (1x) | +15.4% | 1x | +2.6% | 64 | -1.0% | sci-tech |
| ARKW | active-discretionary (1x) | +15.1% | 1x | +1.4% | 58 | -15.2% | next-gen-internet |
| NLR | thematic-rules-based (1x) | +15.0% | 1x | -11.4% | 51 | -29.7% | nuclear |
| ARKF | active-discretionary (1x) | +14.8% | 1x | +7.0% | 63 | -22.1% | fintech |
| FNGU | daily-reset-leveraged (3x) | +43.4% | +14.5% adj | -3.3% | 62 | n/a (decay) | NYSE-FANG+ |
| LIT | thematic-rules-based (1x) | +14.0% | 1x | -12.7% | 56 | -17.3% | lithium |
| NVDL | daily-reset-leveraged (2x) | +27.4% | +13.7% adj | -1.4% | 51 | n/a (decay) | NVDA |
| TECL | daily-reset-leveraged (3x) | +33.8% | +11.3% adj | -18.2% | 51 | n/a (decay) | Technology-Select-Sector |
| MAGS | thematic-rules-based (1x) | +10.4% | 1x | -2.3% | 60 | -2.9% | MAG7 |
Tier 4 — Cold (everything else)
37 of the 68 ETFs with fresh data (universe 77) sat below every tier threshold this week. Cold names are deliberately not tabulated — this scan reports takeoffs, breakouts, and uptrends; a mostly-empty board means the ETF universe is cold, not that the scan is broken.
Methodology
Mechanism-aware tiering, applied per ticker via market-engine watchlists/etf-monster-universe.json's
mechanisms map:
change30d / leverage_factor. 52wk-high field is ignored — volatility decay makes it meaningless. Tier on the leverage-adjusted return.
- Synthetic-income (MSTY, NVDY, TSLY, YMAX, YMAG, CONY): same — NAV decay vs underlying
through covered-call mechanics. Ignore 52wk-high.
normal monster-shape filter — Tier 1 if change30d > 20% OR change3m > 30%; Tier 2 if at ATH with RSI > 65.
Sources
- Universe: market-engine
watchlists/etf-monster-universe.json - Summary: etf-monster-universe (precomputed summaries store)
- CLI: monster-etf-scan
Related
10 eventsNo direct external sources are attached to this read.