0x9b1ccd5045658448f68eabd1ea9c881805d10596
0x9b1ccd5045658448f68eabd1ea9c881805d10596
Wallet digest
Activity score
71/100
Performance: thin sample
Open positions
1
Open notional
$2.36
Total PnL
$0.07
Realised
$0.00
Win rate
n/a
too few closed
Recent activity
- TRADESELLWill Bitcoin dip to $75,000 by December 31, 2026?$19.18Jan 13, 16:06 UTC
- TRADESELLWill Bitcoin dip to $75,000 by December 31, 2026?$2.55Jan 13, 16:05 UTC
- TRADEBUYWill Bitcoin dip to $75,000 by December 31, 2026?$2.90Jan 12, 18:13 UTC
- TRADEBUYWill Bitcoin dip to $75,000 by December 31, 2026?$2.02Jan 12, 16:02 UTC
- TRADEBUYWill Bitcoin dip to $75,000 by December 31, 2026?$20.47Jan 12, 16:02 UTC
- TRADEBUYFC Internazionale Milano vs. SSC Napoli: Both Teams to Score$2.29Jan 11, 20:13 UTC
- TRADESELL76ers vs. Raptors$0.96Jan 11, 19:59 UTC
- TRADESELLWill FC Barcelona win on 2026-01-11?$6.84Jan 11, 19:49 UTC
- TRADESELLWill Real Madrid CF win on 2026-01-11?$1.81Jan 11, 19:49 UTC
- TRADEBUYWill FC Barcelona win on 2026-01-11?$2.00Jan 11, 19:47 UTC
- TRADEBUYWill FC Barcelona win on 2026-01-11?$2.00Jan 11, 19:47 UTC
- TRADEBUYWill FC Barcelona win on 2026-01-11?$2.00Jan 11, 19:47 UTC
- TRADEBUYWill Real Madrid CF win on 2026-01-11?$2.00Jan 11, 19:47 UTC
- TRADEBUYWill FC Barcelona win on 2026-01-11?$2.00Jan 11, 19:47 UTC
- TRADESELLDevils vs. Jets$1.92Jan 11, 19:44 UTC
- TRADEBUYDevils vs. Jets$2.00Jan 11, 19:42 UTC
- TRADESELLWill Real Madrid CF win on 2026-01-11?$0.75Jan 11, 19:40 UTC
- TRADESELLWill Real Madrid CF win on 2026-01-11?$0.30Jan 11, 19:38 UTC
- TRADESELLWill Real Madrid CF win on 2026-01-11?$0.30Jan 11, 19:38 UTC
- TRADESELLWill Real Madrid CF win on 2026-01-11?$0.54Jan 11, 19:38 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)
- 29
- Avg trade size
- $3.55
- Top category
- —
- Category concentration
- 0%
- First seen
- Jan 11, 18:08 UTC
- Last active
- Jan 13, 16:06 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".