Monster ETF Scan v2
Scan
Monster ETF Scan v2
raw scan snapshot — prices as of scan date, not live 18 rows · screens, not recommendations thesisMonster-ETF scan v2 — mechanism-aware (leverage-adjusted returns + ignores 52wk-high for daily-reset/synthetic-income classes)scan version2universe size59
Tier 1 — Vertical takeoff (leverage-adjusted >25% 30d OR >30% 3m)
| Ticker | Mechanism | 30d | Leverage-adj 30d | 3m | RSI | %from 52wkHi | Underlying |
|---|---|---|---|---|---|---|---|
| ARKG | active-discretionary (1x) | +27.3% | 1x | +61.2% | 75 | -0.2% | genomic |
Tier 2 — ATH breakout (near 52wk high + RSI > 65)
| Ticker | Mechanism | 30d | Leverage-adj 30d | 3m | RSI | %from 52wkHi | Underlying |
|---|---|---|---|---|---|---|---|
| COWZ | thematic-rules-based (1x) | +11.9% | 1x | +11.9% | 73 | -0.4% | FCF-100 |
| CALF | thematic-rules-based (1x) | +10.7% | 1x | +18.5% | 68 | -0.2% | FCF-SC |
| MOAT | thematic-rules-based (1x) | +9.6% | 1x | +11.9% | 67 | -0.1% | wide-moat |
| AVDV | active-discretionary (1x) | +6.9% | 1x | +3.4% | 69 | -0.2% | Intl-SC-value |
Tier 3 — Uptrend (leverage-adjusted >10% 30d)
| Ticker | Mechanism | 30d | Leverage-adj 30d | 3m | RSI | %from 52wkHi | Underlying |
|---|---|---|---|---|---|---|---|
| COPX | thematic-rules-based (1x) | +18.3% | 1x | +13.5% | 70 | -5.4% | copper-miners |
| IBIT | crypto-spot (1x) | +17.0% | 1x | +1.7% | 80 | -39.2% | BTC |
| FBTC | crypto-spot (1x) | +16.8% | 1x | +1.6% | 80 | -39.2% | BTC |
| BITX | daily-reset-leveraged (2x) | +33.5% | +16.7% adj | -3.5% | 79 | n/a (decay) | BTC |
| GBTC | crypto-spot (1x) | +16.7% | 1x | +1.3% | 80 | -39.8% | BTC |
| MSTX | daily-reset-leveraged (2x) | +32.2% | +16.1% adj | -56.5% | 64 | n/a (decay) | MSTR |
| MSTU | daily-reset-leveraged (2x) | +31.9% | +15.9% adj | -56.3% | 64 | n/a (decay) | MSTR |
| URNM | thematic-rules-based (1x) | +13.9% | 1x | -0.1% | 64 | -31.5% | uranium-miners |
| NERD | thematic-rules-based (1x) | +13.6% | 1x | +11.3% | 64 | -21.2% | esports |
| ARKK | active-discretionary (1x) | +13.4% | 1x | +12.8% | 66 | -7.0% | innovation |
| MJ | thematic-rules-based (1x) | +12.7% | 1x | +5.5% | 68 | -43.6% | cannabis |
| ARKF | active-discretionary (1x) | +12.1% | 1x | +11.9% | 67 | -22.8% | fintech |
| LIT | thematic-rules-based (1x) | +11.0% | 1x | -10.2% | 61 | -16.7% | lithium |
Tier 4 — Cold (everything else)
32 of the 50 ETFs with fresh data (universe 59) 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:
- Daily-reset leveraged (NVDL, TSLL, MSTU, MSTX, CONL, BITX): leverage-adjusted return =
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.