0x7bbfa803d82f47ea4f744bcf25982a1f02db89b6
0x7bbfa803d82f47ea4f744bcf25982a1f02db89b6
Wallet digest
Activity score
84/100
Performance: thin sample
Open positions
29
Open notional
$58.22
Total PnL
$1.85
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
showing 10 of 29- YES
Will France win on 2026-06-16?
8 shares @ 69.0¢·now 68.5¢·exp Jun 16, 2026$5.36
$-0.04
- YES
Will Gavin Newsom win the 2028 Democratic presidential nomination?
18 shares @ 25.0¢·now 24.9¢·exp Nov 7, 2028$4.49
$-0.01
- YES
Will Brazil win the 2026 FIFA World Cup?
48 shares @ 8.6¢·now 9.0¢·exp Jul 20, 2026$4.38
$0.22
- NO
Will Algeria win on 2026-06-16?
4 shares @ 88.7¢·now 90.5¢·exp Jun 17, 2026$3.36
$0.07
- NO
Will England win on 2026-06-17?
8 shares @ 43.0¢·now 44.5¢·exp Jun 17, 2026$3.35
$0.11
- RACING CLUB DE LENS
Spread: OGC Nice (-2.5)
3 shares @ 98.3¢·now 97.2¢·exp May 22, 2026$3.23
$-0.04
- DIGVIJAYPRATAP SINGH
Bengaluru 3: Digvijaypratap Singh vs Leo Vithoontien
5 shares @ 60.0¢·now 58.5¢·exp May 25, 2026$3.16
$-0.08
- YES
Will Ghana win on 2026-06-17?
5 shares @ 46.0¢·now 50.0¢·exp Jun 17, 2026$2.35
$0.19
- UNDER
Arsenal FC vs. Burnley FC: O/U 3.5
4 shares @ 50.0¢·now 52.5¢·exp May 18, 2026$2.31
$0.11
- OVER
Spurs vs. Thunder: O/U 219.5
4 shares @ 51.5¢·now 54.5¢·exp May 19, 2026$2.29
$0.13
Recent activity
- TRADEBUYKahrabaa Ismailia FC vs. Haras El Hodood SC: O/U 1.5$1.10May 18, 15:00 UTC
- REDEEMHamburg European Open: Alejandro Davidovich Fokina vs Corentin Moutet$1.69May 18, 15:00 UTC
- TRADEBUYBengaluru 3: Digvijaypratap Singh vs Leo Vithoontien$1.09May 18, 12:32 UTC
- TRADEBUYBengaluru 3: Digvijaypratap Singh vs Leo Vithoontien$1.09May 18, 12:31 UTC
- TRADEBUYBengaluru 3: Digvijaypratap Singh vs Leo Vithoontien$1.09May 18, 12:31 UTC
- REDEEMInternationaux de Strasbourg: Madison Keys vs Cristina Bucsa$3.03May 18, 12:31 UTC
- TRADEBUYArsenal FC vs. Burnley FC: O/U 3.5$1.10May 18, 06:15 UTC
- TRADEBUYArsenal FC vs. Burnley FC: O/U 3.5$1.14May 18, 06:14 UTC
- TRADEBUYSpread: Arsenal FC (-2.5)$1.10May 18, 06:14 UTC
- TRADEBUYHamburg European Open: Alejandro Davidovich Fokina vs Corentin Moutet$1.09May 18, 06:14 UTC
- REDEEMPumas de la UNAM vs. CF Pachuca: O/U 2.5$1.54May 18, 06:11 UTC
- REDEEMPumas de la UNAM vs. CF Pachuca: O/U 1.5$2.35May 18, 06:11 UTC
- REDEEMWill the Detroit Pistons win the 2026 NBA Finals?$0.00May 18, 06:05 UTC
- TRADEBUYSpread: Arsenal FC (-1.5)$1.10May 18, 06:02 UTC
- REDEEMCavaliers vs. Pistons: O/U 210.5$1.20May 18, 05:57 UTC
- TRADEBUYHamburg European Open: Jakub Mensik vs Jan-Lennard Struff$1.10May 18, 05:25 UTC
- TRADEBUYInternationaux de Strasbourg: Madison Keys vs Cristina Bucsa$1.10May 18, 05:21 UTC
- REDEEMToronto Tempo vs. Los Angeles Sparks$0.00May 18, 05:19 UTC
- TRADEBUYInternationaux de Strasbourg: Madison Keys vs Cristina Bucsa$1.10May 18, 05:16 UTC
- REDEEMCA Paranaense vs. CR Flamengo: O/U 1.5$1.64May 18, 05:14 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)
- 26
- Avg trade size
- $1.10
- Top category
- —
- Category concentration
- 0%
- First seen
- May 18, 02:19 UTC
- Last active
- May 18, 15:00 UTC
- Win rate sample
- 0 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".