Perky-Geology
0xa1ddd5eebe37baac83582c0fce3d93cef8faded9
Wallet digest
Activity score
45/100
Performance: thin sample
Open positions
1
Open notional
$0.00
Total PnL
$-29.73
Realised
$0.00
Win rate
n/a
too few closed
Recent activity
- TRADEBUYWill Solana dip to $120 by January 31, 2025?$14.19Jan 31, 18:57 UTC
- TRADEBUYWill Solana dip to $120 by January 31, 2025?$15.54Jan 31, 18:05 UTC
- TRADESELLWill the Lions win the NFC Championship?$47.15Jan 18, 23:39 UTC
- TRADESELLBitcoin above $103,000 on January 24?$43.38Jan 18, 23:11 UTC
- TRADEBUYWill the Lions win the NFC Championship?$48.62Jan 18, 22:11 UTC
- TRADEBUYBitcoin above $103,000 on January 24?$43.17Jan 18, 14:51 UTC
- TRADESELLWill Trump create Bitcoin reserve in first 100 days?$43.54Jan 18, 13:04 UTC
- TRADEBUYWill Trump create Bitcoin reserve in first 100 days?$46.71Jan 18, 12:26 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
- $37.79
- Top category
- —
- Category concentration
- 0%
- First seen
- Jan 18, 12:26 UTC
- Last active
- Jan 31, 18:57 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".