Strident-Sanctuary
0xc5e869d121c2248fbc4e12b063b1ea3401d0a5cb
Wallet digest
Activity score
53/100
Performance measurable
Open positions
19
Open notional
$0.00
Total PnL
$-341.37
Realised
$172.83
Win rate
57%
7 closed
Largest open positions
showing 10 of 19- YES
Will Eleven die in "Stranger Things: Season 5"?
9163 shares @ 0.3¢·now 0.0¢·exp Dec 31, 2025$0.00
$-24.98
- YES
Over 20,000 ETH committed to the Aztec public sale?
5337 shares @ 0.8¢·now 0.0¢·exp Jan 1, 2026$0.00
$-44.67
- NO
Over $2M committed to the Makina public sale?
5000 shares @ 0.2¢·now 0.0¢·exp Jan 1, 1970$0.00
$-9.99
- YES
Trove FDV above $60M one day after launch?
4000 shares @ 0.1¢·now 0.0¢·exp Jan 1, 2027$0.00
$-4.00
- YES
Over 25,000 ETH committed to the Aztec public sale?
2426 shares @ 0.2¢·now 0.0¢·exp Jan 1, 2026$0.00
$-4.72
- NO
Over $10M committed to the Gensyn public sale?
1850 shares @ 1.1¢·now 0.0¢·exp Jan 1, 2026$0.00
$-21.39
- YES
Trove FDV above $2M one day after launch?
1570 shares @ 8.2¢·now 0.0¢·exp Jan 1, 2027$0.00
$-129.47
- NO
Over $1.5M committed to the Makina public sale?
1000 shares @ 0.6¢·now 0.0¢·exp Jan 1, 1970$0.00
$-5.80
- NO
Over 15,000 ETH committed to the Aztec public sale?
1000 shares @ 0.1¢·now 0.0¢·exp Jan 1, 2026$0.00
$-1.00
- YES
Trove FDV above $5M one day after launch?
860 shares @ 2.9¢·now 0.0¢·exp Jan 1, 2027$0.00
$-24.82
Recent activity
- TRADEBUYGenius FDV above $500M one day after launch?$3.36Apr 14, 19:56 UTC
- TRADEBUYGenius FDV above $500M one day after launch?$1.64Apr 14, 19:56 UTC
- TRADEBUYGenius FDV above $500M one day after launch?$27.00Apr 14, 19:48 UTC
- TRADEBUYCounter-Strike: Legacy vs BC.Game Esports (BO3) - IEM Krakow Play-In$49.77Jan 26, 11:21 UTC
- TRADEBUYTrove FDV above $2M one day after launch?$12.21Jan 20, 20:01 UTC
- TRADESELLTrove FDV above $2M one day after launch?$20.07Jan 20, 19:57 UTC
- TRADEBUYTrove FDV above $2M one day after launch?$4.82Jan 20, 19:36 UTC
- TRADEBUYTrove FDV above $2M one day after launch?$20.00Jan 20, 19:12 UTC
- TRADEBUYTrove FDV above $40M one day after launch?$0.30Jan 20, 18:56 UTC
- TRADEBUYTrove FDV above $40M one day after launch?$0.00Jan 20, 18:47 UTC
- TRADEBUYTrove FDV above $2M one day after launch?$15.00Jan 20, 18:46 UTC
- TRADEBUYTrove FDV above $10M one day after launch?$0.41Jan 20, 18:37 UTC
- TRADEBUYTrove FDV above $5M one day after launch?$10.12Jan 20, 17:20 UTC
- TRADEBUYTrove FDV above $10M one day after launch?$4.00Jan 20, 17:19 UTC
- TRADEBUYTrove FDV above $10M one day after launch?$0.35Jan 20, 16:43 UTC
- TRADEBUYTrove FDV above $60M one day after launch?$2.00Jan 20, 16:26 UTC
- TRADEBUYTrove FDV above $10M one day after launch?$0.28Jan 20, 16:26 UTC
- TRADESELLTrove FDV above $80M one day after launch?$2.68Jan 20, 16:24 UTC
- TRADEBUYTrove FDV above $5M one day after launch?$0.02Jan 20, 15:54 UTC
- TRADEBUYTrove FDV above $40M one day after launch?$0.36Jan 20, 15:35 UTC
Persistent ledger timeline
persistentNo trades for this wallet in Orrery's persistent ledger yet. The whale-ingest cron writes ≥ $5k trades every 10 minutes; check back after a recovery window.
Ledger intelligence
persistent7d volume
$0.00
0 trades
30d volume
$0.00
0 trades
Buy share
50%
Sample
low
0 ledger trades
No persistent whale trades for this wallet yet. The live Data API score above can still be useful, but the durable ledger sample is empty.
Profile dimensions
Trade count + how recently they were active. Low = dormant.
How trustworthy the win-rate number is, based on sample size of closed markets.
Share of trades concentrated in their top category.
Share of positions taken while the market was still uncertain (30–70¢) rather than after direction was obvious.
How risky to blindly copy. Higher = riskier — large size, single-position exposure, or thin win-rate sample.
- Trades (all time)
- 50
- Avg trade size
- $14.53
- Top category
- —
- Category concentration
- 0%
- First seen
- Jan 19, 23:45 UTC
- Last active
- Apr 14, 19:56 UTC
- Win rate sample
- 7 closed
The single Activity score is kept for the leaderboard sort. The five dimensions above are the canonical read — copy-risk bar is inverted so green is always "better for the user".