$MICHI
michiClassified as Meme because launched via pump.fun (mint address ends in “pump”) — launchpad-born memecoin · 1 of 1 theses count toward Meme. narrative-v1.1
- Price
- $0.00295
- 1h +0.5%24h +3.1%
- Market cap
- $2.95M
- Liquidity
- $160.9K
- top 10 hold 79%
- Volume 24h
- $6.7K
- dexscreener · 14m ago
- Theses 1h / 24h
- 0 / 0
- last 1d ago
- Authors 1h / 24h
- 0 / 0
- distinct Fomo accounts
$MICHI MOMENTUM — · CONVICTION — · CROWDING — · EARLY QUALITY — · NARRATIVE 51 · DIVERGENCE -25 SIGNAL: NONE ACTIVE
DIVERGENCE STATE: LAGGING SOCIAL
Active signals
No signal rule is currently passing for $MICHI. Rules are versioned combinations of the scores below — see each rule on the signal pages.
Scores
Click any score for its drivers, confidence and model version. Nothing here is a black box.
History
Point-in-time snapshots: each value used only data available at its timestamp (UTC).
Scores over time
0–100 · vertical lines mark signal firings
Fomo activity
Theses and distinct authors in the trailing hour at each snapshot
- Theses / hour
- Unique authors / hour
Price & volume
USD price and 1h volume (market provider snapshots)
Social vs market
Each line is indexed to its own range in this window (0 = low, 100 = high), so leads and lags line up. When social rises while price stays flat, attention is leading the market.
- Social (theses / hour)
- Price
- Volume (1h)
Divergence score (−100…+100, positive = social leading)
Recent theses
Latest 1 theses on $MICHI · author research score and confidence are point-in-time
- @lenwConfidence: Insufficient data
Buying at these prices almost feels like stealing
Signal history
Firings on $MICHI in the last 365 days
No signal has fired on this token in the visible history.
Model versions
- analog-v1.0
- conviction-v1.0
- crowding-v1.0
- divergence-v1.0
- early_quality-v1.0
- features-v1.0
- momentum-v1.0
- narrative_velocity-v1.0
- signals-v1.0
- smart_cohort-v1.0
Scores computed 2m ago · Fomo activity last event 9m ago · Market data updated 14m ago
FomoQuant provides analytics and historical/statistical context, not financial advice or guaranteed predictions.
