Monster ETF Scan v2

Scan

Monster ETF Scan v2

Scan symbols 6
Watchlists 1
raw scan snapshot — prices as of scan date, not live 6 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) +23.3% 1x +43.6% 71 -1.1% genomic
DRAM thematic-rules-based (1x) +15.6% 1x +151.9% 57 -14.0% memory-HBM-basket
BSTZ closed-end-fund (1x) +6.1% 1x +44.6% 60 -2.7% sci-tech-term
BST closed-end-fund (1x) +3.1% 1x +34.0% 64 -3.0% sci-tech
WGMI thematic-rules-based (1x) +3.0% 1x +65.7% 53 -13.2% BTC-miner-basket
CHAT thematic-rules-based (1x) +1.7% 1x +47.3% 53 -9.0% AI

Tier 2 — ATH breakout (near 52wk high + RSI > 65)

No rows in this section this week — nothing met its threshold.

Tier 3 — Uptrend (leverage-adjusted >10% 30d)

No rows in this section this week — nothing met its threshold.

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.

through covered-call mechanics. Ignore 52wk-high.

  • Buffered (BUFR): near-ATH is FLAGGED as late-cycle (these are designed to be flat).
  • Closed-end fund (BST, BSTZ, PDI, USA): near-ATH flag for premium/NAV check.
  • All others (passive-index, active-discretionary, thematic-rules-based, crypto-spot):

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: market-engine data/summaries/etf-monster-universe.json (precomputed)
  • CLI: monster-etf-scan
9 events

No direct external sources are attached to this read.