Periodic-Ivory
0x957a56902495ede0f4e1ec592a6417208c57c0f7
Wallet digest
Activity score
89/100
Performance: thin sample
Open positions
7
Open notional
$1.2K
Total PnL
$3.44
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
- YES
Will the lowest temperature in Seoul be 16°C on May 25?
219 shares @ 99.9¢·now 100.0¢·exp May 25, 2026$218.89
$0.11
- NO
Will the highest temperature in Wuhan be 30°C or higher on May 26?
209 shares @ 99.0¢·now 96.8¢·exp May 26, 2026$201.83
$-4.57
- NO
Will Silver (SI) hit (HIGH) $250 by end of June?
202 shares @ 96.6¢·now 99.0¢·exp Jun 30, 2026$199.94
$4.75
- NO
Will the highest temperature in Guangzhou be 31°C on May 26?
200 shares @ 99.6¢·now 100.0¢·exp May 26, 2026$199.90
$0.70
- NO
Will the highest temperature in Tokyo be 29°C or higher on May 26?
200 shares @ 99.0¢·now 98.6¢·exp May 26, 2026$197.10
$-0.90
- NO
Will Silver (SI) hit (LOW) $35 by end of June?
81 shares @ 94.7¢·now 98.6¢·exp Jun 30, 2026$79.87
$3.16
- NO
Will the highest temperature in Chongqing be 30°C on May 25?
79 shares @ 99.7¢·now 100.0¢·exp May 25, 2026$78.79
$0.20
Recent activity
- TRADEBUYWill the lowest temperature in Seoul be 16°C on May 25?$218.79May 25, 08:12 UTC
- TRADEBUYWill the highest temperature in Wuhan be 30°C or higher on May 26?$206.50May 25, 08:11 UTC
- TRADEBUYWill the highest temperature in Chongqing be 30°C on May 25?$78.61May 25, 08:09 UTC
- TRADEBUYWill the highest temperature in Tokyo be 29°C or higher on May 26?$198.10May 25, 08:07 UTC
- TRADEBUYWill the highest temperature in Guangzhou be 31°C on May 26?$199.24May 25, 08:06 UTC
- REDEEMWill the lowest temperature in Paris be 7°C on May 17?$130.22May 21, 16:43 UTC
- REDEEMWill the lowest temperature in Paris be 5°C on May 17?$130.22May 21, 16:43 UTC
- REDEEMWill the lowest temperature in Paris be 6°C on May 17?$113.93May 21, 16:43 UTC
- REDEEMWill the highest temperature in Tokyo be 24°C on May 17?$50.00May 17, 22:11 UTC
- REDEEMWill the highest temperature in Guangzhou be 24°C on May 17?$477.00May 17, 21:43 UTC
- TRADEBUYWill the highest temperature in Guangzhou be 24°C on May 17?$276.21May 16, 09:27 UTC
- TRADEBUYWill the highest temperature in Guangzhou be 24°C on May 17?$199.43May 16, 09:26 UTC
- TRADEBUYWill the highest temperature in Tokyo be 24°C on May 17?$49.86May 16, 09:24 UTC
- TRADEBUYWill the lowest temperature in Paris be 7°C on May 17?$129.85May 16, 08:27 UTC
- TRADEBUYWill the lowest temperature in Paris be 6°C on May 17?$113.61May 16, 08:26 UTC
- TRADEBUYWill the lowest temperature in Paris be 5°C on May 17?$129.85May 16, 08:26 UTC
- REDEEMWill the highest temperature in Jakarta be 26°C or below on May 16?$205.87May 16, 03:02 UTC
- REDEEMWill the highest temperature in Chongqing be 24°C on May 15?$692.82May 15, 18:05 UTC
- TRADEBUYWill the highest temperature in Chongqing be 24°C on May 15?$610.42May 15, 08:22 UTC
- TRADEBUYWill the highest temperature in Chongqing be 24°C on May 15?$81.66May 15, 08:21 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.
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)
- 26
- Avg trade size
- $199.83
- Top category
- —
- Category concentration
- 0%
- First seen
- May 1, 20:47 UTC
- Last active
- May 25, 08:12 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".