Dark-Usage
0xf851b7903b5a5e1cbc974498bcb8c571aca21a0c
Wallet digest
Activity score
49/100
Performance: thin sample
Open positions
15
Open notional
$0.00
Total PnL
$-917.09
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
showing 10 of 15- YES
Will Mamdani attend the Rental Ripoff hearing on February 26?
423 shares @ 59.0¢·now 0.0¢·exp Feb 26, 2026$0.00
$-249.57
- OVER
Games Total: O/U 2.5
423 shares @ 41.0¢·now 0.0¢·exp Feb 26, 2026$0.00
$-173.43
- OVER
Wright State Raiders vs. Purdue Fort Wayne Mastodons: O/U 151.5
413 shares @ 44.0¢·now 0.0¢·exp Feb 26, 2026$0.00
$-181.72
- MACARTHUR FC
Spread: Macarthur FC (-1.5)
324 shares @ 38.6¢·now 0.0¢·exp Feb 25, 2026$0.00
$-125.04
- CA MINEIRO
Spread: CA Mineiro (-2.5)
253 shares @ 1.2¢·now 0.0¢·exp Feb 26, 2026$0.00
$-3.04
- FLUMINENSE FC
Spread: Fluminense FC (-2.5)
253 shares @ 1.4¢·now 0.0¢·exp Feb 26, 2026$0.00
$-3.54
- BARCELONA SC
Spread: Barcelona SC (-2.5)
252 shares @ 1.1¢·now 0.0¢·exp Feb 26, 2026$0.00
$-2.77
- YES
Will Maura Higgins win The Traitors US: Season 4?
250 shares @ 0.3¢·now 0.0¢·exp Feb 26, 2026$0.00
$-0.75
- YES
Will Rosamund Li die in Bridgerton: Season 4?
159 shares @ 6.0¢·now 0.0¢·exp Feb 26, 2026$0.00
$-9.54
- YES
Will King George III die in Bridgerton: Season 4?
153 shares @ 2.0¢·now 0.0¢·exp Feb 26, 2026$0.00
$-3.06
Recent activity
- REDEEMSpread: Macarthur FC (-2.5)$110.00Mar 14, 22:19 UTC
- REDEEMMacarthur FC vs. Central Coast Mariners FC: O/U 4.5$118.00Mar 14, 22:19 UTC
- REDEEMWill Queen Charlotte die in Bridgerton: Season 4?$161.00Mar 14, 22:19 UTC
- REDEEMMacarthur FC vs. Central Coast Mariners FC: Both Teams to Score$184.00Mar 14, 22:19 UTC
- REDEEMMacarthur FC vs. Central Coast Mariners FC: O/U 2.5$269.00Mar 14, 22:19 UTC
- REDEEMMacarthur FC vs. Central Coast Mariners FC: O/U 1.5$510.00Mar 14, 22:19 UTC
- REDEEMWill Bitcoin dip to $60,000 in February?$8.33Mar 2, 18:58 UTC
- REDEEMWill a contestant numbered 176 - 200 win Beast Games: Season 2?$45.00Mar 2, 18:58 UTC
- REDEEMSpread: SC Corinthians Paulista (-2.5)$254.00Mar 2, 18:58 UTC
- REDEEMWill Mexico’s January unemployment rate be 2.6%?$297.00Mar 2, 18:58 UTC
- REDEEMQueens (NC) Royals vs. Eastern Kentucky Colonels: O/U 163.5$480.00Mar 2, 18:58 UTC
- TRADEBUYMap Handicap: RED (-1.5) vs Fake do Biru (+1.5)$85.80Feb 25, 18:15 UTC
- TRADEBUYSpread: Barcelona SC (-2.5)$2.77Feb 25, 18:13 UTC
- TRADEBUYSpread: SC Corinthians Paulista (-2.5)$249.94Feb 25, 18:12 UTC
- TRADEBUYWright State Raiders vs. Purdue Fort Wayne Mastodons: O/U 151.5$181.72Feb 25, 18:10 UTC
- TRADEBUYQueens (NC) Royals vs. Eastern Kentucky Colonels: O/U 163.5$230.40Feb 25, 18:08 UTC
- TRADEBUYGames Total: O/U 2.5$173.43Feb 25, 18:06 UTC
- TRADEBUYWill Maura Higgins win The Traitors US: Season 4?$0.75Feb 25, 18:05 UTC
- TRADEBUYSpread: Fluminense FC (-2.5)$3.54Feb 25, 18:03 UTC
- TRADEBUYSpread: CA Mineiro (-2.5)$3.04Feb 25, 18:02 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)
- 25
- Avg trade size
- $80.13
- Top category
- —
- Category concentration
- 0%
- First seen
- Feb 24, 23:29 UTC
- Last active
- Mar 14, 22:19 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".