0xba9eba8e5bb7f71452022e161604e2ad8871ae24
0xba9eba8e5bb7f71452022e161604e2ad8871ae24
Wallet digest
Activity score
48/100
Performance: thin sample
Open positions
3
Open notional
$1.11
Total PnL
$-1.89
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
- NO
Will the highest temperature in New York City be between 42-43°F on January 17?
1 shares @ 90.0¢·now 100.0¢·exp Jan 17, 2026$1.11
$0.11
- YES
Will the highest temperature in Seattle be between 50-51°F on January 16?
1 shares @ 70.0¢·now 0.0¢·exp Jan 16, 2026$0.00
$-1.00
- NO
Will the highest temperature in New York City be between 40-41°F on January 17?
1 shares @ 80.0¢·now 0.0¢·exp Jan 17, 2026$0.00
$-1.00
Recent activity
- TRADEBUYWill the highest temperature in Seattle be between 50-51°F on January 16?$1.00Jan 16, 21:51 UTC
- TRADESELLWill the highest temperature in Seattle be between 52-53°F on January 16?$0.20Jan 16, 21:50 UTC
- TRADESELLWill the highest temperature in New York City be between 32-33°F on January 16?$0.23Jan 16, 12:58 UTC
- TRADEBUYWill the highest temperature in Seattle be between 52-53°F on January 16?$1.00Jan 16, 06:10 UTC
- TRADEBUYWill the highest temperature in New York City be between 32-33°F on January 16?$1.00Jan 16, 04:05 UTC
- TRADEBUYWill the highest temperature in New York City be between 42-43°F on January 17?$1.00Jan 16, 03:17 UTC
- TRADEBUYWill the highest temperature in New York City be between 40-41°F on January 17?$1.00Jan 16, 00:21 UTC
- TRADESELLWill the highest temperature in Seattle be between 54-55°F on January 17?$0.28Jan 15, 22:05 UTC
- TRADEBUYWill the highest temperature in Seattle be between 54-55°F on January 17?$1.00Jan 15, 22:00 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)
- 9
- Avg trade size
- $0.75
- Top category
- —
- Category concentration
- 0%
- First seen
- Jan 15, 22:00 UTC
- Last active
- Jan 16, 21:51 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".