spWBTC · ETHEREUM
0x4197ba364ae6698015ae5c1468f54087602715b2
23/100
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)
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Market cap
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24h volume
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24h change
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What changed: No material change since 2026-07-27 17:32 UTC (score 13 → 15).
Historical context: Not enough snapshot history yet - context builds as snapshots accumulate.
Source freshness - Token fundamentals: 2026-07-29 04:44 UTC · Macro conditions: 2026-07-28 23:47 UTC · On-chain activity: 2026-07-25 13:57 UTC
| Component | Weight | Observed |
|---|---|---|
| - Whale activity | - | No whale events were observed for this token in the analysis window. |
| - Smart money flows | - | No scored-wallet activity was observed for this token in the consensus window. |
| On-chain activity | 50% | Observed transactions fell week-over-week: 2 in the last 7 days vs 8 the week before. |
| Token fundamentals | 30% | Top 10 non-exchange holders held 77.0% of supply (−77 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). |
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.
Top 10 (non-exchange)
77.0%
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.
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 spWBTC lean toward accumulation — 2 accumulation-side vs 1 distribution-side.
Computed from the on-chain data on this page — no AI model involved. Educational, not financial advice.
| - Social sentiment |
| - |
| Too few scored items in 72h (0, minimum 3). |
| Macro conditions | 20% | 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 (20% of applicable weight had data) and data quality - a high score with thin data stays low-confidence. No AI model participates in this score.