0x3adcd5c1a1cc18e7c02ed0f178bb466c2507f501
0x3adcd5c1a1cc18e7c02ed0f178bb466c2507f501
Wallet digest
Activity score
100/100
Performance: thin sample
Open positions
9
Open notional
$95.70
Total PnL
$80.72
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
- UP
Tesla (TSLA) Up or Down on January 28?
87 shares @ 4.9¢·now 100.0¢·exp Jan 28, 2026$86.99
$82.76
- TEXAS SOUTHERN TIGERS
Texas Southern Tigers vs. Alcorn State Braves
2 shares @ 98.9¢·now 100.0¢·exp Jan 17, 2026$2.24
$0.02
- YES
Will Microsoft (MSFT) close at $430-$440 on the final day of trading of the week of Jan 26 – Jan 30?
2 shares @ 99.5¢·now 100.0¢·exp Jan 30, 2026$2.15
$0.01
- NO
Will Apple (AAPL) close above $260 on January 28?
1 shares @ 98.0¢·now 100.0¢·exp Jan 28, 2026$1.09
$0.02
- YES
Will Bitcoin reach $90,000 January 26-1?
1 shares @ 99.0¢·now 100.0¢·exp Feb 2, 2026$1.08
$0.01
- NO
Will Google (GOOGL) close at $330-$335 on the final day of trading of the week of Jan 26 – Jan 30?
1 shares @ 99.9¢·now 100.0¢·exp Jan 30, 2026$1.07
$0.00
- YES
Will Ethereum dip to $2,700 January 26-1?
1 shares @ 99.9¢·now 100.0¢·exp Feb 2, 2026$1.07
$0.00
- UP
Bitcoin Up or Down - January 20, 1:45PM-2:00PM ET
107 shares @ 1.0¢·now 0.0¢·exp Jan 20, 2026$0.00
$-1.07
- YES
Josh Giddey: Rebounds O/U 7.5
22 shares @ 4.8¢·now 0.0¢·exp Jan 30, 2026$0.00
$-1.04
Recent activity
- TRADEBUYWill Google (GOOGL) close at $330-$335 on the final day of trading of the week of Jan 26 – Jan 30?$1.07Jan 30, 21:01 UTC
- TRADEBUYWill Microsoft (MSFT) close at $430-$440 on the final day of trading of the week of Jan 26 – Jan 30?$1.07Jan 30, 21:01 UTC
- TRADEBUYWill Microsoft (MSFT) close at $430-$440 on the final day of trading of the week of Jan 26 – Jan 30?$1.07Jan 30, 21:01 UTC
- TRADEBUYWill Ethereum dip to $2,700 January 26-1?$1.07Jan 30, 01:49 UTC
- TRADEBUYJosh Giddey: Rebounds O/U 7.5$1.04Jan 29, 23:30 UTC
- TRADEBUYTesla (TSLA) Up or Down on January 28?$1.05Jan 29, 02:01 UTC
- TRADEBUYTesla (TSLA) Up or Down on January 28?$1.07Jan 29, 00:16 UTC
- TRADEBUYTesla (TSLA) Up or Down on January 28?$1.04Jan 29, 00:16 UTC
- TRADEBUYTesla (TSLA) Up or Down on January 28?$1.07Jan 29, 00:07 UTC
- TRADESELLTesla (TSLA) Up or Down on January 28?$0.12Jan 28, 23:44 UTC
- TRADESELLTesla (TSLA) Up or Down on January 28?$0.09Jan 28, 23:40 UTC
- TRADESELLTesla (TSLA) Up or Down on January 28?$0.10Jan 28, 23:37 UTC
- TRADESELLTesla (TSLA) Up or Down on January 28?$5.14Jan 28, 23:34 UTC
- TRADESELLTesla (TSLA) Up or Down on January 28?$0.19Jan 28, 23:33 UTC
- TRADESELLTesla (TSLA) Up or Down on January 28?$3.74Jan 28, 23:29 UTC
- TRADESELLTesla (TSLA) Up or Down on January 28?$0.06Jan 28, 21:37 UTC
- TRADEBUYTesla (TSLA) Up or Down on January 28?$1.04Jan 28, 21:01 UTC
- TRADEBUYWill Apple (AAPL) close above $260 on January 28?$1.07Jan 28, 21:01 UTC
- TRADEBUYTesla (TSLA) Up or Down on January 28?$1.04Jan 28, 21:01 UTC
- TRADEBUYWill Bitcoin reach $90,000 January 26-1?$1.07Jan 28, 11:54 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)
- 23
- Avg trade size
- $1.15
- Top category
- —
- Category concentration
- 0%
- First seen
- Jan 17, 23:47 UTC
- Last active
- Jan 30, 21:01 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".