AEVO

AEVO · ETHEREUM

0xb528edbef013aff855ac3c50b381f253af13b997

79/100

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)

$0.019241

Market cap

$17,944,391

24h volume

$6,015,860

24h change

2.02%

AI Conviction - AEVO

V1 deterministic - no AI model in the score

77/100

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

Top reasons

Across 1 whale events (1 wallets), observed buy pressure was $686K vs $0K sell - net accumulation.
Observed transactions rose week-over-week: 7 in the last 7 days vs 0 the week before.
24h volume was $6,015,860 against a $17,944,391 market cap (33.53% turnover).

Top risks

Counter-signal - Price moved 1.7% over 7 days and -1.6% over 30 days, sitting at 29% of its 30-day range.
Data coverage gaps (5 of 11 components unavailable) - missing data lowers confidence, it is never guessed.

What changed: First conviction snapshot for this token - no prior baseline to compare.

Historical context: Not enough snapshot history yet - context builds as snapshots accumulate.

Smart Money Intelligence

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

90/100

accumulation

50 baseline + 40 flow imbalance (net accumulation 100% of $686K) + 0 breadth (0 scored wallets). Measures observed positioning, not investment quality.

Accumulation side · $686K

smart-money accumulation $0K
whale accumulation $0K
exchange outflows $686K
buy swaps $0K

Distribution side · $0K

whale distribution $0K
exchange inflows $0K
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 · 60%

net exchange outflows (supply leaving venues)
market regime currently risk-on

Consolidation · 35%

balanced observed flows
no dominant pressure side

Distribution pressure ·

Holder analytics

Top 10 (non-exchange)

42.3%

Exchange custody

26.6%

Tracked smart wallets

0.0%

0xf977…acecEXCHANGE25.21%
0xdaea…167417.44%
0x3891…ad816.79%
0x91d4…debe3.22%
0x6522…7e903.05%

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

Risk analysis — what created these scores

Holder distribution58/100

· Based on the 50 largest holders on record.
· Top 10 non-exchange holders held 42.3% of supply (−42 points).
· 26.6% sat in exchange custody wallets — aggregated customer funds, excluded from concentration risk.

Liquidity100/100

· 24h volume was $6,015,860 against a $17,944,391 market cap (33.53% 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 · 15 observed transfers)

EXCHANGE OUTFLOW — Wallet sent $686K in AEVO (outflow from exchange reserves). 0xF977…aceC

Components & methodology

Component	Weight	Observed
Whale activity	32.3%	Across 1 whale events (1 wallets), observed buy pressure was $686K vs $0K sell - net accumulation.
- Smart money flows	-	Only 0 scored wallets were active in the consensus window (minimum 3).
On-chain activity	16.1%	Observed transactions rose week-over-week: 7 in the last 7 days vs 0 the week before.
Token fundamentals	9.7%	Top 10 non-exchange holders held 42.3% of supply (−42 points).
Liquidity	11.3%	24h volume was $6,015,860 against a $17,944,391 market cap (33.53% turnover).
Technical indicators	24.2%	Price moved 1.7% over 7 days and -1.6% over 30 days, sitting at 29% 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): 17 economy/regulatory items in 72h averaged 0.14 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 note the net accumulation and examine whether the flow is broad (many wallets) or concentrated (one actor), before treating it as a positioning signal.
Data: observed 30d flows: $686K accumulation-side vs $0K 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 net exchange outflows — supply moving to self-custody historically accompanies holding behavior.
Data: exchange outflows $686K vs inflows $0K (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 accumulation side persists across sessions, using the flow imbalance as context rather than a signal by itself.
Data: observed 30d flows: $686K accumulation-side vs $0K 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 $0K (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 note that observed professional positioning leans toward accumulation, while weighing it against 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.