spwstETH · ETHEREUM
0x12b54025c112aa61face2cdb7118740875a566e9
38/100
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.
No market pricing is available for this contract from our market data source (CoinGecko) — common for new, unlisted or low-liquidity tokens. The on-chain data below (holders, transfers, structure) is still real and observed directly from the blockchain.
Price (USD)
—
Market cap
—
24h volume
—
24h change
—
What changed: No material change since 2026-07-27 17:31 UTC (score 67 → 68).
Historical context: Not enough snapshot history yet - context builds as snapshots accumulate.
Source freshness - Whale activity: 2026-07-29 04:43 UTC · Token fundamentals: 2026-07-29 04:43 UTC · On-chain activity: 2026-07-29 00:15 UTC · Macro conditions: 2026-07-28 23:47 UTC
| Component | Weight | Observed |
|---|---|---|
| Whale activity | 50% | Across 4 whale events (1 wallets), observed buy pressure was $15.5M vs $0K sell - net accumulation. |
| - Smart money flows | - | Only 0 scored wallets were active in the consensus window (minimum 3). |
| On-chain activity | 25% | Observed transactions fell week-over-week: 51 in the last 7 days vs 52 the week before. |
| Token fundamentals | 15% | Top 10 non-exchange holders held 61.8% of supply (−62 points). |
| - Liquidity | - | Volume or market cap unavailable. |
| - Technical indicators | - | No usable daily price series was cached for this token (needs 8+ days). |
| - 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.
90/100
accumulation
50 baseline + 40 flow imbalance (net accumulation 100% of $15.5M) + 0 breadth (0 scored wallets). Measures observed positioning, not investment quality.
Accumulation side · $15.5M
Distribution side · $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%
Consolidation · 35%
Distribution pressure · 5%
Top 10 (non-exchange)
61.8%
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.
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.
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.
Recent whale events on spwstETH lean toward accumulation — 5 accumulation-side vs 0 distribution-side.
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 | 10% | Global (not token-specific): 28 economy/regulatory items in 72h averaged -0.62 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 (41% 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: $15.5M 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 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: $15.5M 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.
Educational description of observed on-chain positioning (4 events · 1 wallets). Not financial advice, not a prediction, and never a buy or sell recommendation.