MEME

MEME · ETHEREUM

0xb131f4a55907b10d1f0a50d8ab8fa09ec342cd74

75/100

Structure health · explainable below

The information on this page is market data and educational analysis, not financial advice. Past on-chain activity does not guarantee future results. Always do your own research.

Price (USD)

$0.000535

Market cap

$34,314,970

24h volume

$7,582,893

24h change

3.60%

AI Conviction - MEME

V1 deterministic - no AI model in the score

30/100

BearishMedium confidenceData coverage: 6/11 components (63% of weight)

Top reasons

Across 1 whale events (1 wallets), observed buy pressure was $0K vs $539K sell - net distribution.
Observed transactions fell week-over-week: 2 in the last 7 days vs 13 the week before.
Price moved -0.1% over 7 days and -16.4% over 30 days, sitting at 17% of its 30-day range.

Top risks

Counter-signal - 24h volume was $7,582,893 against a $34,314,970 market cap (22.10% turnover).
Data coverage gaps (5 of 11 components unavailable) - missing data lowers confidence, it is never guessed.
Available signals disagreed strongly with each other - a split read, not a consensus.

Smart Money Intelligence

Observed positioning of scored wallets over 30 days — computed from real whale events, rule-based, never a prediction.

10/100

distribution

50 baseline − 40 flow imbalance (net distribution 100% of $539K) − 0 breadth (0 scored wallets). Measures observed positioning, not investment quality.

Accumulation side · $0K

smart-money accumulation $0K
whale accumulation $0K
exchange outflows $0K
buy swaps $0K

Distribution side · $539K

whale distribution $0K
exchange inflows $539K
sell swaps $0K

Smart money consensus (7d · 0 scored wallets)

Insufficient scored-wallet data — no scored wallet was active on this asset in the last 7 days, so no consensus can be claimed.

Scenario weights — derived from current observed signals, not forecasts

Accumulation continues · 10%

market regime currently risk-on

Consolidation · 45%

balanced observed flows
no dominant pressure side

Distribution pressure · 45%

Holder analytics

Top 10 (non-exchange)

50.1%

Exchange custody

17.9%

Tracked smart wallets

0.0%

0xc059…2cce16.51%
0xf977…acecEXCHANGE15.91%
0x6f8f…e61a6.98%
0x30c6…b0435.79%
0x4368…f0424.98%

Exchange custody wallets hold aggregated customer funds and are not treated as investment ownership.

Risk analysis — what created these scores

Holder distribution50/100

· Based on the 50 largest holders on record.
· Top 10 non-exchange holders held 50.1% of supply (−50 points).
· 17.9% sat in exchange custody wallets — aggregated customer funds, excluded from concentration risk.

Liquidity100/100

· 24h volume was $7,582,893 against a $34,314,970 market cap (22.10% turnover).

Scores describe observed market structure only — they are not predictions, ratings of future performance, or financial advice.

AI research report

No report has been generated for this token.

Research reports are written on request — nothing is generated in the background, so none is on its way. Generating one reads this token's current data and costs 18 credits from your plan. The result is checked against its own sources before it is shown, and is yours to read as often as you like.

Deep research

Four passes instead of one: it plans what this dossier can and cannot answer, drafts the report, attacks its own draft for unsupported claims and generic sentences, then rewrites. It ends by stating what it could not determine and which datum was missing.

Whale activity (1 recent · 19 observed transfers)

EXCHANGE INFLOW — Wallet received $539K in MEME (inflow to exchange reserves). 0xF977…aceC

Components & methodology

Component	Weight	Observed
Whale activity	32.3%	Across 1 whale events (1 wallets), observed buy pressure was $0K vs $539K sell - net distribution.
- Smart money flows	-	Only 0 scored wallets were active in the consensus window (minimum 3).
On-chain activity	16.1%	Observed transactions fell week-over-week: 2 in the last 7 days vs 13 the week before.
Token fundamentals	9.7%	Top 10 non-exchange holders held 50.1% of supply (−50 points).
Liquidity	11.3%	24h volume was $7,582,893 against a $34,314,970 market cap (22.10% turnover).
Technical indicators	24.2%	Price moved -0.1% over 7 days and -16.4% over 30 days, sitting at 17% of its 30-day range.
- News sentiment	-	Too few scored items in 72h (0, minimum 2).
- Social sentiment	-	Too few scored items in 72h (0, minimum 3).
Macro conditions	6.5%	Global (not token-specific): 26 economy/regulatory items in 72h averaged -0.21 on the lexicon.
- Institutional activity	-	Institutional flows are not tracked for crypto tokens in V1 (stocks & ETF phase).
- Insider activity	-	Insider activity does not apply to crypto tokens (weight 0 - excluded from coverage).
- ETF flows	-	ETF flow data is not tracked for crypto tokens in V1 (stocks & ETF phase).

Deterministic weighted aggregation (engine v1-deterministic-2026-07). Each component is an observed measurement mapped to [-1, +1]; weights are renormalized over components that actually had data (missing data contributes nothing and is never estimated); sentiment sources (news/social/macro) are capped at 20% of the total signal; score = 50 + 45 x weighted mean, bounded to 2-98 so the scale can never express certainty. Confidence is computed separately from data coverage (63% of applicable weight had data) and data quality - a high score with thin data stays low-confidence. No AI model participates in this score.

Professional lenses (5) — rule-based analysis from the data above

Institutional Fund confidence low
What would a hedge fund analyst likely examine here?
A fund analyst would typically flag the net distribution and examine venue inflows as potential supply overhang.
Data: observed 30d flows: $0K accumulation-side vs $539K distribution-side · 0 scored wallets active in 7d
On-chain flows describe PAST positioning of a small observed universe; they do not determine prices. Data can be incomplete or delayed.
Whale Investor confidence low
What would a large holder likely watch?
A large holder would typically watch the exchange inflows as a sign that peers are staging liquidity venue-side.
Data: exchange outflows $0K vs inflows $539K (30d)
On-chain flows describe PAST positioning of a small observed universe; they do not determine prices. Data can be incomplete or delayed.
Swing Trader confidence low
What would a technical trader likely track?
A swing trader would typically track whether the current distribution side persists across sessions, using the flow imbalance as context rather than a signal by itself.
Data: observed 30d flows: $0K accumulation-side vs $539K distribution-side
On-chain flows describe PAST positioning of a small observed universe; they do not determine prices. Data can be incomplete or delayed.
Risk Manager confidence low
How would a professional frame the risk?
A risk manager would typically size any exposure against the observed concentration: flows driven by few wallets reverse faster than broad-based moves, and venue-side supply adds liquidity risk.
Data: 0 scored wallets in the 7d sample · venue-side supply $539K (30d inflows)
On-chain flows describe PAST positioning of a small observed universe; they do not determine prices. Data can be incomplete or delayed.
Long-Term Investor confidence low
What would a long-horizon allocator likely note?
A long-horizon allocator would typically treat current flows as noise at their horizon and focus on fundamentals this dashboard does not measure.
Data: Insufficient scored-wallet data — no scored wallet was active on this asset in the last 7 days, so no consensus can be claimed.
On-chain flows describe PAST positioning of a small observed universe; they do not determine prices. Data can be incomplete or delayed.