Right-Clarification
0x6acc0932c149e786cf98576b39d01a6e688b60e4
Wallet digest
Activity score
46/100
Performance: thin sample
Open positions
6
Open notional
$0.00
Total PnL
$-6.00
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
- NO
Will the highest temperature in Tokyo be 30°C on May 29?
1000 shares @ 0.1¢·now 0.0¢·exp May 29, 2026$0.00
$-1.00
- NO
Will the highest temperature in Hong Kong be 34°C or higher on May 29?
637 shares @ 0.1¢·now 0.0¢·exp May 29, 2026$0.00
$-1.00
- NO
Will the highest temperature in Seoul be 25°C on May 29?
421 shares @ 0.2¢·now 0.0¢·exp May 29, 2026$0.00
$-1.00
- NO
Will the highest temperature in Guangzhou be 39°C on May 29?
254 shares @ 0.4¢·now 0.0¢·exp May 29, 2026$0.00
$-1.00
- NO
Will the highest temperature in Chicago be 66°F or higher on May 31?
112 shares @ 0.9¢·now 0.0¢·exp May 31, 2026$0.00
$-1.00
- NO
Will the highest temperature in Mexico City be 24°C or higher on May 31?
110 shares @ 0.9¢·now 0.0¢·exp May 31, 2026$0.00
$-1.00
Recent activity
- TRADESELLWill the highest temperature in Lucknow be 35°C or below on May 31?$1.92May 29, 19:42 UTC
- TRADESELLWill Seoul have between 120-130mm of precipitation in May?$1.88May 29, 19:34 UTC
- TRADEBUYWill Seoul have between 120-130mm of precipitation in May?$1.05May 29, 17:14 UTC
- TRADEBUYWill the highest temperature in Chicago be 66°F or higher on May 31?$1.05May 29, 17:12 UTC
- TRADEBUYWill the highest temperature in Lucknow be 35°C or below on May 31?$1.05May 29, 17:10 UTC
- TRADEBUYWill the highest temperature in Mexico City be 24°C or higher on May 31?$1.05May 29, 17:09 UTC
- TRADEBUYWill the highest temperature in Tokyo be 30°C on May 29?$1.05May 29, 09:08 UTC
- TRADEBUYWill the highest temperature in Guangzhou be 39°C on May 29?$1.05May 29, 09:06 UTC
- TRADEBUYWill the highest temperature in Seoul be 25°C on May 29?$1.05May 29, 08:58 UTC
- TRADEBUYWill the highest temperature in Hong Kong be 34°C or higher on May 29?$1.05May 29, 08:51 UTC
- REDEEMInternet Access restored in Iran by June 30, 2026?$23.40May 29, 07:43 UTC
- REDEEMInternet Access restored in Iran by May 31, 2026?$40.98May 29, 07:43 UTC
- TRADEBUYInternet Access restored in Iran by May 31, 2026?$10.00May 28, 11:44 UTC
- TRADESELLInternet Access restored in Iran by June 30, 2026?$10.63May 28, 08:09 UTC
- TRADEBUYInternet Access restored in Iran by June 30, 2026?$19.48May 25, 15:01 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
0/100Treat this wallet as noise/context only until resolved history, copy-risk, and liquidity checks improve.
Win rate is hidden until at least 3 closed markets exist for this wallet.
Many positions were entered near obvious prices, which can inflate win rate while hiding tail risk.
Required before treating wallet flow as useful
Only 0 closed markets; headline win rate is intentionally hidden.
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
Blocked
14/100Wallet flow is blocked as an intelligence signal until hard failures are fixed.
13 live trades, 0 ledger trades, copy-risk 46/100.
Too few closed markets. Do not infer edge from open PnL or leaderboard rank.
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)
- 13
- Avg trade size
- $4.02
- Top category
- —
- Category concentration
- 0%
- First seen
- May 25, 15:01 UTC
- Last active
- May 29, 19:42 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 is inverted so green means lower risk of over-reading the wallet.