$BAGSPAY
BagsPayClassified as Meme because launched via Bags (mint address ends in “BAGS”) — launchpad-born memecoin · 10 of 10 theses count toward Meme. narrative-v1.1
- Price
- $0.000666
- 1h —24h —
- Market cap
- $665.6K
- 3,761 holders
- Liquidity
- $117.6K
- top 10 hold 26%
- Volume 24h
- $107.0K
- dexscreener · 1h ago
- Theses 1h / 24h
- 0 / 3
- last 7h ago
- Authors 1h / 24h
- 0 / 3
- distinct Fomo accounts
These scores were computed 1m ago and are shown dimmed. Fomo activity delayed · Last update: 1h ago · Market data delayed · Last update: 1h ago
$BAGSPAY MOMENTUM 2 · CONVICTION 59 · CROWDING 62 · EARLY QUALITY — · NARRATIVE 38 · DIVERGENCE — SIGNAL: NONE ACTIVE
DIVERGENCE STATE: NO MARKET DATA
Some scores were computed from delayed inputs.
Active signals
No signal rule is currently passing for $BAGSPAY. 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
- Momentum
- Conviction
- Crowding
- Early Quality
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 10 theses on $BAGSPAY · author research score and confidence are point-in-time
- @daboyjoyConfidence: Insufficient data
-Bagspay wallet is doing buybacks -Dude fudding got restricted due to Bags legally securing whats theirs -Talked to team on discord and they said “announcement hasn’t happened yet” -Finn watched paid take his idea from the side and learned the rights and wrongs. He would never post bagspay after seeing X fail if he didn’t have any clue how to work it
- @22222222Confidence: Insufficient data
The flippening is upon us
@_unknown_traderConfidence: Insufficient dataa lot of you have never been early to a coin and it shows, Finn knows what’s he is doing here fam
- @22222222Confidence: Insufficient data
Ticking time bomb
@DopamineFeenFr1Confidence: Insufficient dataBnnbags posted the $BAGSPAY ticker and tagged the X account. The full launch is still ahead, with Bagspay’s own posts yet to kick off. My thesis: we’re early, and the biggest attention catalysts haven’t even hit. Getting fudded out before this has a shot at a multi-million-dollar valuation? Insanity. I’m holding for the rollout. Let the story unfold. 🚀
@_unknown_traderConfidence: Insufficient dataknow what you hold & hold what you know Finn is about to claim what is his, bags started this and will finish this
@DopamineFeenFr1Confidence: Insufficient dataAll ya gotta do is hold and accumulate. Simple. 💎 🙌
@DopamineFeenFr1Confidence: Insufficient dataHolders growing. Bags stacking. Weak hands shaken out. BagsPay showing strength while the market bleeds—that’s what conviction looks like. I’m betting Finn is building something that could put retirement within reach for a whole lot of holders. Blessed to be one of them. 🚀
Show 2 moreShow fewer
- @22222222Confidence: Insufficient data
Dun dun dudun dun dudunnnn
@_unknown_traderConfidence: Insufficient datawhen Finn a tier 1 profile, watch what happens remember who he brought on before with bags?
Signal history
Firings on $BAGSPAY in the last 7 days
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 1m ago · Fomo activity last event 1h ago · Market data updated 1h ago · Fomo activity delayed · Last update: 1h ago · Market data delayed · Last update: 1h ago
FomoQuant provides analytics and historical/statistical context, not financial advice or guaranteed predictions.
