WSTETH
WSTETH · ARBITRUM
0x5979d7b546e38e414f7e9822514be443a4800529
12/100
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)
$3,108.83
Market cap
$152,952,959
24h volume
$58,817
24h change
1.29%
AI Conviction - WSTETH
V1 deterministic - no AI model in the scoreTop reasons
- Across 3 whale events (1 wallets), observed buy pressure was $0K vs $124K sell - net distribution.
- 24h volume was $58,817 against a $152,952,959 market cap (0.04% turnover).
- Top 10 non-exchange holders held 76.1% of supply (−76 points).
Top risks
- Counter-signal - Price moved 11.2% over 7 days and 32.7% over 30 days, sitting at 98% of its 30-day range.
- Counter-signal - Global (not token-specific): 19 economy/regulatory items in 72h averaged 0.14 on the lexicon.
- Thin liquidity - 24h volume was $58,817 against a $152,952,959 market cap (0.04% turnover).
- Data coverage gaps (6 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.
What changed: No material change since 2026-09-09 06:21 UTC (score 31 → 33).
Historical context: Across 4 snapshots since 2026-08-26, the score ranged 31-37 (average 34); the current 33 is in line with that average.
Source freshness - Whale activity: 2026-09-15 19:42 UTC · Macro conditions: 2026-09-15 16:53 UTC · Token fundamentals: 2026-09-09 06:21 UTC · Liquidity: 2026-09-09 06:21 UTC
Components & methodology
| Component | Weight | Observed |
|---|---|---|
| Whale activity | 38.5% | Across 3 whale events (1 wallets), observed buy pressure was $0K vs $124K sell - net distribution. |
| - Smart money flows | - | Only 0 scored wallets were active in the consensus window (minimum 3). |
| - On-chain activity | - | Too few observed transactions to read a trend (0 across 14 days). |
| Token fundamentals | 11.5% | Top 10 non-exchange holders held 76.1% of supply (−76 points). |
| Liquidity | 13.5% | 24h volume was $58,817 against a $152,952,959 market cap (0.04% turnover). |
| Technical indicators | 28.8% | Price moved 11.2% over 7 days and 32.7% over 30 days, sitting at 98% 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 | 7.7% | Global (not token-specific): 19 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 (53% of applicable weight had data) and data quality - a high score with thin data stays low-confidence. No AI model participates in this score.
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.
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 $124K) − 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 · $124K
- whale distribution $0K
- exchange inflows $0K
- sell swaps $124K
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%
- would require new distribution signals
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 $124K 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 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 $124K 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 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.
Educational description of observed on-chain positioning (3 events · 1 wallets). Not financial advice, not a prediction, and never a buy or sell recommendation.
Ask BFYP about this
Open AI Research with WSTETH already in context. Nothing is sent and no credits are used until you ask.
Holder analytics
Top 10 (non-exchange)
76.1%
Exchange custody
0.0%
Tracked smart wallets
0.0%
- 0x513c…8fff35.13%
- 0x52aa…e4979.41%
- 0xe513…e4227.44%
- 0x9c4e…58bf5.57%
- 0xd98b…7d075.44%
Exchange custody wallets hold aggregated customer funds and are not treated as investment ownership.
Risk analysis — what created these scores
- · Based on the 50 largest holders on record.
- · Top 10 non-exchange holders held 76.1% of supply (−76 points).
- · 24h volume was $58,817 against a $152,952,959 market cap (0.04% 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.
Whale activity (4 recent · 13 observed transfers)
Recent whale events on WSTETH lean toward distribution — 2 distribution-side vs 0 accumulation-side.
Computed from the on-chain data on this page — no AI model involved. Educational, not financial advice.
- LARGE TRANSFER — Wallet sent $124K in WSTETH. 0xfdff…ac85
- SELL — Swapped 40.24 WSTETH → 49.98 WETH (~$124K) 0xfdff…ac85
- LARGE TRANSFER — Wallet received $124K in WSTETH. 0xfdff…ac85
- SELL — Swapped 12.09 WSTETH → 15.00 WETH (~$29K) 0xfdff…ac85