0xc21c9e9d53c6f236cb04f3fcf6c5f7f158a25053
0xc21c9e9d53c6f236cb04f3fcf6c5f7f158a25053
Wallet digest
Activity score
54/100
Performance: thin sample
Open positions
6
Open notional
$8.75
Total PnL
$-30.83
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
- ROCKETS
Heat vs. Rockets
9 shares @ 55.0¢·now 100.0¢·exp Mar 22, 2026$8.75
$3.94
- YES
Will Tottenham Hotspur FC win on 2026-03-05?
24 shares @ 40.0¢·now 0.0¢·exp Mar 5, 2026$0.00
$-9.65
- YES
Will Bayer 04 Leverkusen win on 2026-02-24?
18 shares @ 55.0¢·now 0.0¢·exp Feb 24, 2026$0.00
$-9.65
- NEWCASTLE UNITED FC
Spread: Newcastle United FC (-2.5)
14 shares @ 48.0¢·now 0.0¢·exp Feb 24, 2026$0.00
$-6.74
- NO
Will Real Madrid CF win on 2026-03-22?
10 shares @ 48.0¢·now 0.0¢·exp Mar 22, 2026$0.00
$-4.81
- YES
Will Nottingham Forest FC win on 2026-02-26?
7 shares @ 60.0¢·now 0.0¢·exp Feb 26, 2026$0.00
$-3.92
Recent activity
- TRADEBUYWill Real Madrid CF win on 2026-03-22?$4.81Mar 22, 17:20 UTC
- TRADEBUYHeat vs. Rockets$4.81Mar 21, 19:43 UTC
- TRADEBUYWill Tottenham Hotspur FC win on 2026-03-05?$9.65Mar 5, 17:55 UTC
- REDEEMWill Nottingham Forest FC win on 2026-02-26?$9.56Feb 27, 02:01 UTC
- TRADEBUYWill Nottingham Forest FC win on 2026-02-26?$3.92Feb 26, 18:58 UTC
- TRADEBUYWill Nottingham Forest FC win on 2026-02-26?$3.92Feb 26, 18:57 UTC
- REDEEMWill FK Bodø/Glimt win on 2026-02-24?$96.50Feb 25, 04:42 UTC
- TRADEBUYSpread: Newcastle United FC (-2.5)$6.74Feb 24, 16:50 UTC
- TRADEBUYWill FK Bodø/Glimt win on 2026-02-24?$9.65Feb 24, 16:47 UTC
- TRADEBUYWill Bayer 04 Leverkusen win on 2026-02-24?$9.65Feb 24, 16:46 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)
- 8
- Avg trade size
- $6.64
- Top category
- —
- Category concentration
- 0%
- First seen
- Feb 24, 16:46 UTC
- Last active
- Mar 22, 17:20 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 is inverted so green means lower risk of over-reading the wallet.