wstETH · ETHEREUM
0x7f39c581f595b53c5cb19bd0b3f8da6c935e2ca0
17/100
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)
$2,356.99
Market cap
$8,662,464,891
24h volume
$3,065,903
24h change
1.17%
What changed: Since 2026-07-27 20:44 UTC: direction moved Bullish → Neutral.
Historical context: Across 5 snapshots since 2026-07-23, the score ranged 55-58 (average 56); the current 52 is below that average.
Source freshness - Whale activity: 2026-07-29 01:57 UTC · Token fundamentals: 2026-07-29 01:57 UTC · Liquidity: 2026-07-29 01:57 UTC · Technical indicators: 2026-07-29 01:00 UTC
| Component | Weight | Observed |
|---|---|---|
| Whale activity | 32.3% | Across 764 whale events (9 wallets), observed buy pressure was $463.5M vs $124.3M 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 fell week-over-week: 617 in the last 7 days vs 721 the week before. |
| Token fundamentals | 9.7% | Top 10 non-exchange holders held 66.9% of supply (−67 points). |
| Liquidity | 11.3% | 24h volume was $2,755,559 against a $8,676,977,558 market cap (0.03% turnover). |
| Technical indicators | 24.2% | Price moved 0.1% over 7 days and 22.6% over 30 days, sitting at 93% of its 30-day range. |
| - News sentiment | - | Too few scored items in 72h (0, minimum 2). |
| Social sentiment |
AI-generated analyses are automated interpretations of public market data. They may contain errors, are provided for educational purposes only, and are not investment recommendations. 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.
Observed positioning of scored wallets over 30 days — computed from real whale events, rule-based, never a prediction.
71/100
accumulation
50 baseline + 21 flow imbalance (net accumulation 52% of $649.2M) + 0 breadth (0 scored wallets). Measures observed positioning, not investment quality.
Accumulation side · $494.3M
Distribution side · $154.9M
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 · 48%
Consolidation · 45%
Distribution pressure · 7%
Top 10 (non-exchange)
67.0%
Exchange custody
0.0%
Tracked smart wallets
0.0%
Exchange custody wallets hold aggregated customer funds and are not treated as investment ownership.
Scores describe observed market structure only — they are not predictions, ratings of future performance, or financial advice.
✓ Source data · 2 days old · newest datum 2026-07-27 16:43 UTC
✓ Written 2026-07-27 20:45 UTC · model claude-sonnet-5
✓ Platform report — generated for everyone, free to read
The deterministic conviction engine scored wstETH at 56/100, direction BULLISH, confidence HIGH. These are three separate outputs from a rules-based system, not a judgment formed here. The dossier showed net whale accumulation ($417.4M buy-side vs $64.3M sell-side across 9 wallets), a price sitting at 99% of its 30-day range after a 22.7% 30-day move, thin 24h turnover ($6.28M against an $8.88B market cap), and top-10 non-exchange holder concentration of 66.9%. Coverage was partial: only 63.0% of applicable weight in the conviction score carried real data, and five components — smart-money flows, news sentiment, social sentiment, institutional activity, and ETF flows — contributed nothing.
Layers with data: whale activity (745 events, 9 wallets), holder structure (top-10 non-exchange 66.9%, exchange custody 0.0%, tracked smart wallets 0.0%), liquidity ($6,282,074 24h volume vs $8,875,433,351 mcap), technical/price momentum (365 daily closes, 7d/30d/90d readings), macro conditions (16 items, -0.65 average lexicon score), and the smart-money positioning module (score 79/100, stance INSUFFICIENT). Layers with no data: scored news ("nothing in the tracked feed mentioned this asset recently"), disclosed institutional exposure ("none found in the tracked 13F/N-PORT filings" — not proof of absence), and upcoming unlocks ("none scheduled in the tracked emissions data" — also not proof none exist). No citable source links were supplied in this dossier.
The score was carried primarily by whale activity (32.3% weight, +0.2 contribution, quality 1.00) and technical indicators (24.2% weight, +0.1 contribution, quality 0.88). The component most limiting confidence in the underlying reading was token fundamentals (9.7% weight, -0.0 contribution, quality 0.70), reflecting the 66.9% top-10 non-exchange concentration.
Recent whale events on wstETH are split between accumulation and distribution.
Computed from the on-chain data on this page — no AI model involved. Educational, not financial advice.
| - |
| Too few scored items in 72h (0, minimum 3). |
| Macro conditions | 6.5% | Global (not token-specific): 27 economy/regulatory items in 72h averaged -0.61 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.
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: $494.3M accumulation-side vs $154.9M 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 $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: $494.3M accumulation-side vs $154.9M 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.
Educational description of observed on-chain positioning (772 events · 9 wallets). Not financial advice, not a prediction, and never a buy or sell recommendation.
Flow detail: wallet 0x0b925ed163218f6662a35e0f0371ac234f9e9371 showed a net outflow of $10.6M over 7 days (distribution pattern, 2026-07-27 16:43Z) but also received $15.0M (16:16Z) and $2.0M (15:25Z) in the same window — indicating transit through this address rather than one-directional movement. Wallet 0x12b54025c112aa61face2cdb7118740875a566e9 received $15.0M (16:16Z) then sent $2.5M (15:25Z) and $2.0M across two transfers (14:55Z). Wallet 0xb8a451107a9f87fde481d4d686247d6e43ed715e both sent and received $2.0M in similar four-part transfers at 14:55Z, consistent with routing rather than net accumulation or distribution by that address alone.
With exchange custody at 0.0% and tracked smart wallets at 0.0%, the holder split shown here does not indicate exchange-held supply or wallets tagged as smart-money movers — price-moving capacity concentrates in the untagged top-10 non-exchange cohort (66.9%). Volume against market cap (0.07% turnover) means a position of meaningful size would represent a large share of a single day's trading activity.
Per the measured disagreements block, no conflict was found: every layer with a reading pointed the same direction or sat within its flat band. The accumulation signal, the 7d/30d upward price move, and the 90d decline (-15.3%) were not flagged as contradictory in the source data.
Smart-money flows, news sentiment, social sentiment, institutional activity, and ETF flows carried zero weight in this snapshot. No unlock schedule or 13F/N-PORT institutional holding was found, though absence of tracking does not confirm absence of fact. No citable external sources were provided for this report.
This analysis is educational information, not financial advice.
AI-generated analyses are automated interpretations of public market data. They may contain errors, are provided for educational purposes only, and are not investment recommendations.
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.