RLUSD
RLUSD · ETHEREUM
0x8292bb45bf1ee4d140127049757c2e0ff06317ed
57/100
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)
$0.999968
Market cap
$2,431,492,008
24h volume
$113,703,113
24h change
-0.00%
AI Conviction - RLUSD
V1 deterministic - no AI model in the scoreTop reasons
- Observed transactions fell week-over-week: 307 in the last 7 days vs 596 the week before.
- Across 79 whale events (6 wallets), observed buy pressure was $472.6M vs $692.8M sell - net distribution.
- Price moved 0.0% over 7 days and -0.0% over 30 days, sitting at 19% of its 30-day range.
Top risks
- Counter-signal - 24h volume was $113,703,113 against a $2,431,492,008 market cap (4.68% turnover).
- Counter-signal - Global (not token-specific): 18 economy/regulatory items in 72h averaged 0.20 on the lexicon.
- Data coverage gaps (5 of 11 components unavailable) - missing data lowers confidence, it is never guessed.
What changed: Since 2026-09-08 05:04 UTC: direction moved Bullish → Bearish; score fell 54 → 41.
Historical context: Across 15 snapshots since 2026-07-26, the score ranged 48-65 (average 55); the current 41 is below that average.
Source freshness - Whale activity: 2026-09-15 18:35 UTC · Macro conditions: 2026-09-15 16:53 UTC · On-chain activity: 2026-09-15 03:35 UTC · Technical indicators: 2026-09-14 23:00 UTC
Components & methodology
| Component | Weight | Observed |
|---|---|---|
| Whale activity | 32.3% | Across 79 whale events (6 wallets), observed buy pressure was $472.6M vs $692.8M sell - net distribution. |
| - 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: 307 in the last 7 days vs 596 the week before. |
| Token fundamentals | 9.7% | Top 10 non-exchange holders held 64.1% of supply (−64 points). |
| Liquidity | 11.3% | 24h volume was $113,703,113 against a $2,431,492,008 market cap (4.68% turnover). |
| Technical indicators | 24.2% | Price moved 0.0% over 7 days and -0.0% over 30 days, sitting at 19% 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): 18 economy/regulatory items in 72h averaged 0.20 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.
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.
42/100
distribution
50 baseline − 8 flow imbalance (net distribution 19% of $1165.5M) − 0 breadth (0 scored wallets). Measures observed positioning, not investment quality.
Accumulation side · $472.6M
- smart-money accumulation $0K
- whale accumulation $187.8M
- exchange outflows $284.8M
- buy swaps $0K
Distribution side · $692.8M
- whale distribution $404.6M
- exchange inflows $288.2M
- 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 · 30%
- market regime currently risk-on
Consolidation · 45%
- balanced observed flows
- no dominant pressure side
Distribution pressure · 25%
- whale distribution observed ($404.6M/30d)
- net exchange inflows (supply moving to venues)
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: $472.6M accumulation-side vs $692.8M 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 $284.8M vs inflows $288.2M (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: $472.6M accumulation-side vs $692.8M 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 $288.2M (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 (79 events · 6 wallets). Not financial advice, not a prediction, and never a buy or sell recommendation.
Ask BFYP about this
Open AI Research with RLUSD already in context. Nothing is sent and no credits are used until you ask.
Holder analytics
Top 10 (non-exchange)
64.1%
Exchange custody
7.3%
Tracked smart wallets
0.0%
- 0x1601…347e19.22%
- 0x80a9…66287.12%
- 0x8d6d…f3a27.12%
- 0x7d98…ab9f7.12%
- 0xe319…77eb4.57%
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 64.1% of supply (−64 points).
- · 7.3% sat in exchange custody wallets — aggregated customer funds, excluded from concentration risk.
- · 24h volume was $113,703,113 against a $2,431,492,008 market cap (4.68% 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 (10 recent · 980 observed transfers)
Recent whale events on RLUSD are split between accumulation and distribution.
Computed from the on-chain data on this page — no AI model involved. Educational, not financial advice.
- EXCHANGE OUTFLOW — Wallet sent $10.0M in RLUSD (outflow from exchange reserves). 0xF977…aceC
- DISTRIBUTION — Net outflow of $10.0M in RLUSD over the last 7 days (distribution pattern observed). 0xF977…aceC
- DISTRIBUTION — Net outflow of $13.9M in RLUSD over the last 7 days (distribution pattern observed). 0xbbbb…ffcb
- LARGE TRANSFER — Wallet received $10.0M in RLUSD. 0xbbbb…ffcb
- LARGE TRANSFER — Wallet sent $15.1M in RLUSD. 0xbbbb…ffcb
- LARGE TRANSFER — Wallet sent $8.8M in RLUSD. 0xbbbb…ffcb
- ACCUMULATION — Net inflow of $2.2M in RLUSD over the last 7 days (accumulation pattern observed). 0xbbbb…ffcb
- EXCHANGE INFLOW — Wallet received $20.2M in RLUSD across 2 similar transfers (~$10.1M each) (inflow to exchange reserves). 0xDFd5…963d
- EXCHANGE OUTFLOW — Wallet sent $9.7M in RLUSD (outflow from exchange reserves). 0xDFd5…963d
- LARGE TRANSFER — Wallet received $3.7M in RLUSD. 0xbbbb…ffcb