Uneven-Tolerant
0xd681e0246e0723fe397d2a11791336846103d9df
Wallet digest
Activity score
50/100
Performance measurable
Open positions
60
Open notional
$88.48
Total PnL
$-2.1K
Realised
$-50.45
Win rate
0%
4 closed
Largest open positions
showing 10 of 60- NO
Will the highest temperature in Guangzhou be 27°C on July 29?
29 shares @ 86.0¢·now 100.0¢·exp Jul 29, 2026$29.05
$4.05
- NO
Will the highest temperature in New York City be between 80-81°F on July 30?
29 shares @ 86.0¢·now 85.0¢·exp Jul 30, 2026$24.70
$-0.29
- NO
Will the highest temperature in Guangzhou be 29°C on July 30?
27 shares @ 86.0¢·now 86.5¢·exp Jul 30, 2026$23.16
$0.13
- NO
Will the highest temperature in Los Angeles be between 74-75°F on July 30?
13 shares @ 87.0¢·now 89.0¢·exp Jul 30, 2026$11.57
$0.26
- DOWN
Bitcoin Up or Down - January 31, 5:15PM-5:30PM ET
105 shares @ 49.2¢·now 0.0¢·exp Jan 31, 2026$0.00
$-51.92
- UP
Bitcoin Up or Down - February 1, 8:30PM-8:45PM ET
80 shares @ 43.1¢·now 0.0¢·exp Feb 2, 2026$0.00
$-34.61
- DOWN
Bitcoin Up or Down - March 4, 1:45PM-2:00PM ET
77 shares @ 37.0¢·now 0.0¢·exp Mar 4, 2026$0.00
$-28.49
- UP
Bitcoin Up or Down - February 1, 11:15AM-11:30AM ET
67 shares @ 55.4¢·now 0.0¢·exp Feb 1, 2026$0.00
$-37.24
- NO
Will the highest temperature in Jeddah be 39°C or higher on June 27?
58 shares @ 86.0¢·now 0.0¢·exp Jun 27, 2026$0.00
$-49.99
- NO
Will the highest temperature in Wuhan be 29°C on June 21?
58 shares @ 86.0¢·now 0.0¢·exp Jun 21, 2026$0.00
$-49.99
Recent activity
- TRADEBUYWill the highest temperature in Guangzhou be 29°C on July 30?$23.19Jul 29, 08:24 UTC
- REDEEMWill the highest temperature in San Francisco be between 66-67°F on July 28?$28.73Jul 29, 07:30 UTC
- TRADEBUYWill the highest temperature in New York City be between 80-81°F on July 30?$25.17Jul 29, 06:35 UTC
- TRADEBUYWill the highest temperature in Los Angeles be between 74-75°F on July 30?$11.38Jul 29, 05:22 UTC
- TRADESELLWill the highest temperature in Chongqing be 39°C on July 29?$19.12Jul 29, 03:51 UTC
- TRADEBUYWill the highest temperature in Guangzhou be 27°C on July 29?$25.17Jul 28, 20:10 UTC
- TRADESELLWill the highest temperature in Atlanta be between 94-95°F on July 29?$24.83Jul 28, 15:58 UTC
- TRADEBUYWill the highest temperature in Atlanta be between 94-95°F on July 29?$25.16Jul 28, 09:53 UTC
- TRADESELLWill the highest temperature in Toronto be 27°C on July 29?$23.81Jul 28, 03:51 UTC
- TRADEBUYWill the highest temperature in Toronto be 27°C on July 29?$24.57Jul 28, 02:35 UTC
- TRADEBUYWill the highest temperature in Chongqing be 39°C on July 29?$17.51Jul 28, 01:41 UTC
- REDEEMWill the highest temperature in Guangzhou be 29°C on July 27?$29.06Jul 27, 16:23 UTC
- TRADESELLWill the highest temperature in Toronto be 30°C on July 27?$12.82Jul 27, 16:07 UTC
- TRADESELLWill the highest temperature in Denver be between 90-91°F on July 27?$22.79Jul 27, 09:49 UTC
- TRADESELLWill the highest temperature in Atlanta be between 88-89°F on July 27?$25.53Jul 27, 09:42 UTC
- TRADESELLWill the highest temperature in Chicago be between 92-93°F on July 27?$24.22Jul 27, 09:41 UTC
- TRADEBUYWill the highest temperature in Denver be between 90-91°F on July 27?$25.14Jul 27, 04:07 UTC
- TRADEBUYWill the highest temperature in Chicago be between 92-93°F on July 27?$25.17Jul 27, 03:49 UTC
- TRADEBUYWill the highest temperature in San Francisco be between 66-67°F on July 28?$0.64Jul 27, 01:44 UTC
- TRADEBUYWill the highest temperature in San Francisco be between 66-67°F on July 28?$24.36Jul 27, 01:44 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
Do not mirror
18/100Treat this wallet as noise/context only until resolved history, copy-risk, and liquidity checks improve.
Closed-market sample is still too small to treat the win rate as durable.
Open-position PnL can disappear if liquidity, exit price, or final resolution changes.
Use this wallet as an attention signal only, then verify liquidity and resolution risk.
Many positions were entered near obvious prices, which can inflate win rate while hiding tail risk.
Required before treating wallet flow as useful
0% win rate over 4 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
0/100Wallet flow is useful for attention, but missing/review stages stop it from becoming paper attribution.
42 live trades, 0 ledger trades, copy-risk 59/100.
4 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)
- 42
- Avg trade size
- $21.63
- Top category
- —
- Category concentration
- 0%
- First seen
- Jul 22, 23:21 UTC
- Last active
- Jul 29, 08:24 UTC
- Win rate sample
- 4 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.