Kvantrank Scoring Stack: Hype, Momentum, Breakout, Confidence
One hub for all Kvantrank layers: hype score, 3d/7d momentum, breakout score, confidence, whale context, and Tier 2 social depth in rank 51-200.
Updated
Kvantrank is not a single number. It is a stack of attention layers built for CoinGecko rank 51-200 coins that might move toward the top 50. This hub maps how hype score, momentum, breakout score, and confidence fit together without mixing trade signals into narrative research.
Key Takeaways
- Hype score = today’s percentile attention; momentum = change over 3d/7d UTC days.
- Breakout score ranks band coins where momentum and rank climb converge.
- Confidence measures feed coverage and historical support, not bullishness.
- Whale and Tier 2 social layers add context on a shortlist; Tier 1 still scans ~200 coins daily.
Layer 1: Universe (rank 51-200)
Every score assumes the same daily universe: roughly the top 200 coins by market cap on CoinGecko, with breakout logic focused on the band where a move into the top 50 is still plausible. See why rank 51-200 for liquidity and signal-quality rationale.
Layer 2: Hype score (level)
Hype score answers: how loud is this coin versus every peer today? Raw signals are converted to cross-sectional percentiles, then blended into a daily score. Missing feeds renormalize; the run does not hard-fail.
Layer 3: Hype momentum (acceleration)
Hype momentum answers: is loudness building or fading? Use 3d for fast narrative shifts and 7d for breakout ranking. Expect about one to two weeks of daily snapshots before 7d columns stabilize.
Layer 4: Breakout score (band ranking)
Breakout score combines 7d hype momentum with improving market-cap rank inside the breakout band. It is the primary sort for “who might enter the top 50” watchlists, not a price target.
Layer 5: Confidence (trust in the row)
Signal confidence blends signal coverage, price vs hype conflict checks, and historical support when enough data exists. High hype with low confidence means verify before promoting a row.
Context layers: whale, Tier 2, macro rotation
| Layer | Post | Role |
|---|---|---|
| Whale AUM flows | Whale vs hype | Large-holder accumulation vs distribution |
| Tier 2 social | Reddit, YouTube, Trends | Deep social on ~40 coin shortlist |
| Macro vs forward | Altcoin season vs rotation | 90-day index vs cluster momentum |
| Divergence | Attention vs price | When narrative leads or lags spot |
How the daily stack fits together
Each UTC day, Kvantrank refreshes the top-200 universe, computes hype and momentum layers, applies deeper social coverage on a shortlist where configured, and publishes breakout score, confidence, and optional ML probability on the dashboard.
Optional whale context adds when feeds are available; missing sources skip gracefully.
Vendor metrics vs Kvantrank stack
External composites (Galaxy Score, AltRank, Santiment dominance) are useful benchmarks. Kvantrank keeps layers explicit for rank-band workflows. Compare vendors in the Galaxy vs AltRank post and sentiment tools roundup, but pick one stack per daily routine.
Suggested reading order
- Welcome post (series index)
- Hype score then momentum
- Breakout candidates then confidence
- Daily watchlist workflow for hands-on steps
- Attention acceleration vs level and rank climb velocity for screening depth
- False breakout screen before finalizing shortlists
Frequently asked questions
Which score should I sort by first?
Start with breakout score for band candidates, then read hype level and confidence on the same row.
Does Kvantrank output buy or sell signals?
No. It is an attention tracker for research watchlists only.
How is this different from altcoin season indexes?
Macro indexes look backward at performance baskets. Kvantrank measures forward attention rotation inside a fixed rank universe. See altcoin season vs rotation.
Why do stablecoins show zero confidence?
Breakout logic does not apply to pegged assets. See stablecoins and zero confidence.
Related reading
Not financial advice. For informational purposes only.