Nimble-Garb
0x81f4d400881433b0d4b6f14bab03580acc606a3e
Wallet digest
Activity score
40/100
Performance measurable
Open positions
28
Open notional
$0.00
Total PnL
$-232.79
Realised
$-2.78
Win rate
25%
8 closed
Largest open positions
showing 10 of 28- YES
Will the highest temperature in London be 7°C on January 28?
19290 shares @ 0.1¢·now 0.0¢·exp Jan 28, 2026$0.00
$-19.29
- YES
Will the highest temperature in New York City be 37-38°F on February 2?
5000 shares @ 0.1¢·now 0.0¢·exp Feb 2, 2026$0.00
$-5.00
- YES
Will the highest temperature in London be 9°C on January 17?
5000 shares @ 0.1¢·now 0.0¢·exp Jan 17, 2026$0.00
$-5.00
- YES
Will the highest temperature in Buenos Aires be 31°C on January 31?
4280 shares @ 0.1¢·now 0.0¢·exp Jan 31, 2026$0.00
$-4.28
- YES
Will the highest temperature in Seoul be 0°C on January 31?
2530 shares @ 0.1¢·now 0.0¢·exp Jan 31, 2026$0.00
$-2.53
- YES
Will the highest temperature in New York City be between 40-41°F on February 13?
1850 shares @ 0.1¢·now 0.0¢·exp Feb 13, 2026$0.00
$-1.85
- YES
Will the highest temperature in New York City be between 28-29°F on January 16?
1125 shares @ 0.9¢·now 0.0¢·exp Jan 16, 2026$0.00
$-10.00
- YES
Will there be 12-14 inches of snow in NYC this weekend?
500 shares @ 1.2¢·now 0.0¢·exp Jan 26, 2026$0.00
$-6.00
- DOWN
Bitcoin Up or Down - January 27, 4:00PM-4:15PM ET
415 shares @ 1.0¢·now 0.0¢·exp Jan 27, 2026$0.00
$-4.15
- YES
Will the highest temperature in New York City be between 26-27°F on January 20?
265 shares @ 5.7¢·now 0.0¢·exp Jan 20, 2026$0.00
$-15.20
Recent activity
- TRADEBUYWill the highest temperature in New York City be between 40-41°F on February 13?$1.85Feb 14, 07:14 UTC
- TRADESELLWill the highest temperature in New York City be between 18-19°F on February 8?$1.77Feb 9, 07:42 UTC
- TRADESELLWill the highest temperature in New York City be between 16-17°F on February 8?$0.09Feb 8, 19:03 UTC
- TRADEBUYWill the highest temperature in New York City be between 18-19°F on February 8?$1.24Feb 8, 18:59 UTC
- TRADESELLWill the highest temperature in New York City be between 16-17°F on February 8?$1.21Feb 8, 18:58 UTC
- TRADEBUYWill the highest temperature in New York City be between 16-17°F on February 8?$3.21Feb 8, 11:26 UTC
- TRADEBUYWill the highest temperature in New York City be between 16-17°F on February 8?$3.59Feb 8, 11:16 UTC
- TRADEBUYWill the highest temperature in New York City be between 16-17°F on February 8?$2.50Feb 8, 11:15 UTC
- REDEEMWill the highest temperature in Dallas be between 70-71°F on February 7?$9.09Feb 8, 01:31 UTC
- TRADEBUYWill the highest temperature in Dallas be between 70-71°F on February 7?$6.00Feb 7, 08:45 UTC
- TRADESELLWill the highest temperature in Miami be between 68-69°F on February 6?$6.19Feb 7, 08:24 UTC
- TRADEBUYWill the highest temperature in Miami be between 68-69°F on February 6?$5.46Feb 6, 17:00 UTC
- TRADESELLWill the highest temperature in Dallas be between 78-79°F on February 6?$5.48Feb 6, 14:29 UTC
- TRADEBUYWill the highest temperature in Dallas be between 78-79°F on February 6?$3.06Feb 6, 12:12 UTC
- TRADEBUYWill the highest temperature in Dallas be between 78-79°F on February 6?$6.00Feb 6, 12:11 UTC
- TRADEBUYWill the highest temperature in Atlanta be between 62-63°F on February 6?$6.00Feb 6, 11:11 UTC
- TRADEBUYWill the highest temperature in Atlanta be between 62-63°F on February 6?$6.00Feb 6, 10:59 UTC
- TRADESELLWill the highest temperature in New York City be 34°F or higher on February 5?$5.28Feb 6, 06:28 UTC
- REDEEMWill the highest temperature in New York City be between 32-33°F on February 4?$15.76Feb 5, 13:32 UTC
- TRADEBUYWill the highest temperature in New York City be 34°F or higher on February 5?$4.66Feb 4, 23:28 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.
Wallet edge sanity
Needs review
28/100Useful as a watchlist input, but the edge claim still needs resolved history, cost, and source checks.
Closed-market sample is still too small to treat the win rate as durable.
Many positions were entered near obvious prices, which can inflate win rate while hiding tail risk.
Required before treating wallet flow as useful
25% win rate over 8 closed markets.
A wallet trade is not useful unless a later follower could still enter after spread, slippage, and latency.
Large positions need enough depth to exit; mark-to-market PnL is not cash.
The trade still needs source, expiry, dispute, and settlement checks at the market level.
Leaderboards surface visible winners; losing or abandoned wallets disappear from attention.
Wallet intelligence filter
Watch only
14/100Wallet flow is useful for attention, but missing/review stages stop it from becoming paper attribution.
48 live trades, 0 ledger trades, copy-risk 45/100.
8 closed markets. Enough to inspect, not enough to trust.
No market-level spread or simulated execution cost is attached yet.
No source/expiry/dispute risk context is attached yet.
No market liquidity/depth context is attached yet.
No delayed-entry simulation is attached yet.
No paper receipts attribute this wallet signal to later outcomes yet.
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)
- 48
- Avg trade size
- $3.81
- Top category
- —
- Category concentration
- 0%
- First seen
- Feb 2, 01:38 UTC
- Last active
- Feb 14, 07:14 UTC
- Win rate sample
- 8 closed
The single Activity score is kept for the leaderboard sort. The five dimensions above are the canonical read; copy-risk is inverted so green means lower risk of over-reading the wallet.