0x3522c1e5f6767d276efcab8eb19bd392bc89ec07
0x3522c1e5f6767d276efcab8eb19bd392bc89ec07
Wallet digest
Activity score
83/100
Performance: thin sample
Open positions
1
Open notional
$22.92
Total PnL
$2.92
Realised
$0.00
Win rate
n/a
too few closed
Recent activity
- TRADESELLWill the lowest temperature in New York City be between 52-53°F on May 14?$0.40May 14, 13:40 UTC
- TRADESELLWill the lowest temperature in New York City be between 52-53°F on May 14?$0.11May 14, 09:29 UTC
- TRADESELLWill the lowest temperature in New York City be between 52-53°F on May 14?$1.40May 14, 08:57 UTC
- TRADESELLWill the lowest temperature in New York City be between 52-53°F on May 14?$0.35May 14, 06:37 UTC
- TRADESELLWill the lowest temperature in New York City be between 52-53°F on May 14?$0.38May 14, 06:32 UTC
- TRADEBUYWill the highest temperature in Dallas be between 90-91°F on May 16?$20.76May 14, 05:29 UTC
- TRADEBUYWill the lowest temperature in New York City be between 52-53°F on May 14?$9.29May 13, 13:31 UTC
- TRADESELLWill the highest temperature in Tokyo be 24°C on May 13?$0.89May 11, 08:43 UTC
- TRADEBUYWill the highest temperature in Tokyo be 24°C on May 13?$2.08May 11, 08:17 UTC
- TRADESELLWill the highest temperature in Tokyo be 23°C on May 12?$1.35May 11, 03:57 UTC
- TRADEBUYWill the highest temperature in Tokyo be 23°C on May 12?$2.08May 10, 17:47 UTC
- TRADESELLWill the highest temperature in Tokyo be 22°C on May 12?$0.48May 10, 16:56 UTC
- TRADEBUYWill the highest temperature in Tokyo be 22°C on May 12?$2.01May 10, 10:07 UTC
- REDEEMWill the highest temperature in New York City be between 64-65°F on May 9?$0.00May 10, 07:39 UTC
- TRADESELLWill the highest temperature in New York City be between 64-65°F on May 9?$2.25May 9, 11:25 UTC
- TRADEBUYWill the highest temperature in New York City be between 64-65°F on May 9?$1.05May 7, 19:09 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.
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)
- 15
- Avg trade size
- $2.99
- Top category
- —
- Category concentration
- 0%
- First seen
- May 7, 19:09 UTC
- Last active
- May 14, 13:40 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".