Flaky-Lightning
0x75a7de211f7fb7927ebeccf74226a168c94f4630
Wallet digest
Activity score
70/100
Performance measurable
Open positions
13
Open notional
$0.00
Total PnL
$-1.1K
Realised
$33.83
Win rate
100%
4 closed
Largest open positions
showing 10 of 13- YES
Will the highest temperature in Seattle be between 48-49°F on January 11?
5500 shares @ 0.2¢·now 0.0¢·exp Jan 11, 2026$0.00
$-11.00
- YES
Will the highest temperature in Seoul be 2°C or below on January 12?
1556 shares @ 1.5¢·now 0.0¢·exp Jan 12, 2026$0.00
$-23.00
- NO
Will the highest temperature in London be 6°C on January 7?
1068 shares @ 71.9¢·now 0.0¢·exp Jan 7, 2026$0.00
$-767.61
- YES
Will the highest temperature in Seoul be 3°C on January 12?
1000 shares @ 0.2¢·now 0.0¢·exp Jan 12, 2026$0.00
$-2.00
- YES
Will the highest temperature in Seattle be 41°F or below on January 1?
1000 shares @ 0.1¢·now 0.0¢·exp Jan 1, 2026$0.00
$-1.00
- NO
Will the highest temperature in London be 11°C on January 12?
271 shares @ 72.9¢·now 0.0¢·exp Jan 12, 2026$0.00
$-197.60
- YES
Will the highest temperature in Seoul be 4°C on January 16?
171 shares @ 19.4¢·now 0.0¢·exp Jan 16, 2026$0.00
$-33.33
- YES
Will the highest temperature in Buenos Aires be 33°C on January 15?
104 shares @ 34.0¢·now 0.0¢·exp Jan 15, 2026$0.00
$-35.39
- YES
Will the highest temperature in Toronto be -2°C on January 16?
37 shares @ 54.0¢·now 0.0¢·exp Jan 16, 2026$0.00
$-19.98
- NO
Will the highest temperature in Atlanta be between 54-55°F on January 11?
32 shares @ 75.6¢·now 0.0¢·exp Jan 11, 2026$0.00
$-23.88
Recent activity
- TRADEBUYWill the highest temperature in Toronto be -2°C on January 16?$19.98Jan 17, 03:08 UTC
- REDEEMWill the highest temperature in Atlanta be between 40-41°F on January 16?$75.00Jan 17, 02:38 UTC
- REDEEMWill the highest temperature in Toronto be -9°C on January 15?$42.90Jan 16, 12:58 UTC
- TRADESELLWill the highest temperature in Seoul be 7°C or higher on January 16?$151.76Jan 16, 08:00 UTC
- REDEEMWill the highest temperature in Seoul be 2°C on January 16?$77.45Jan 16, 08:00 UTC
- TRADESELLWill the highest temperature in Seoul be 7°C or higher on January 16?$49.75Jan 16, 07:49 UTC
- TRADESELLWill the highest temperature in Seoul be 7°C or higher on January 16?$198.00Jan 16, 07:47 UTC
- TRADESELLWill the highest temperature in Seoul be 7°C or higher on January 16?$23.89Jan 16, 07:47 UTC
- TRADESELLWill the highest temperature in Seoul be 7°C or higher on January 16?$9.80Jan 16, 07:40 UTC
- TRADESELLWill the highest temperature in Seoul be 7°C or higher on January 16?$15.31Jan 16, 07:39 UTC
- TRADESELLWill the highest temperature in Seoul be 7°C or higher on January 16?$43.86Jan 16, 07:27 UTC
- TRADESELLWill the highest temperature in Seoul be 7°C or higher on January 16?$25.22Jan 16, 07:27 UTC
- TRADEBUYWill the highest temperature in Seoul be 7°C or higher on January 16?$42.06Jan 16, 07:20 UTC
- TRADESELLWill the highest temperature in Seoul be 7°C or higher on January 16?$24.47Jan 16, 07:14 UTC
- TRADESELLWill the highest temperature in Seoul be 7°C or higher on January 16?$45.31Jan 16, 07:10 UTC
- TRADEBUYWill the highest temperature in Seoul be 7°C or higher on January 16?$97.57Jan 16, 07:06 UTC
- TRADEBUYWill the highest temperature in Seoul be 7°C or higher on January 16?$100.00Jan 16, 07:06 UTC
- TRADEBUYWill the highest temperature in Seoul be 7°C or higher on January 16?$13.90Jan 16, 07:05 UTC
- TRADEBUYWill the highest temperature in Seoul be 7°C or higher on January 16?$21.26Jan 16, 05:50 UTC
- TRADEBUYWill the highest temperature in Seoul be 7°C or higher on January 16?$36.55Jan 16, 05:38 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
19/100Treat 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.
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
100% 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
14/100Wallet flow is useful for attention, but missing/review stages stop it from becoming paper attribution.
46 live trades, 0 ledger trades, copy-risk 52/100.
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)
- 46
- Avg trade size
- $31.98
- Top category
- —
- Category concentration
- 0%
- First seen
- Jan 15, 09:52 UTC
- Last active
- Jan 17, 03:08 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.