Valid-Boatyard
0x92170893a538cd351ea84f2d824fd59688fb4f30
Wallet digest
Activity score
91/100
Performance: thin sample
Open positions
3
Open notional
$447.30
Total PnL
$4.83
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
- NO
Will the highest temperature in Chongqing be 37°C on June 5?
250 shares @ 99.8¢·now 100.0¢·exp Jun 5, 2026$250.00
$0.53
- YES
Will there be no change in Fed interest rates after the June 2026 meeting?
200 shares @ 96.0¢·now 98.7¢·exp Jun 17, 2026$197.30
$5.30
- YES
Will the price of Ethereum be above $3,300 on November 6?
1 shares @ 87.9¢·now 0.0¢·exp Nov 6, 2025$0.00
$-1.00
Recent activity
- REWARD$0.28Jun 5, 00:20 UTC
- TRADEBUYWill the highest temperature in Chongqing be 37°C on June 5?$249.50Jun 4, 14:23 UTC
- REDEEMWill the highest temperature in Chongqing be 26°C on May 28?$250.00Jun 4, 14:20 UTC
- REWARD$0.34May 30, 00:25 UTC
- REWARD$0.52May 30, 00:20 UTC
- REWARD$0.61May 29, 00:20 UTC
- TRADEBUYWill the highest temperature in Chongqing be 26°C on May 28?$249.76May 28, 07:21 UTC
- REWARD$0.45May 23, 00:25 UTC
- REWARD$0.52May 23, 00:20 UTC
- REWARD$0.67May 22, 00:20 UTC
- REDEEMSpurs vs. Thunder$5.00May 21, 08:17 UTC
- REDEEMWill the highest temperature in Hong Kong be 27°C on May 15?$200.00May 21, 08:17 UTC
- REWARD$0.19May 20, 00:20 UTC
- REWARD$0.62May 19, 00:25 UTC
- REWARD$1.38May 19, 00:25 UTC
- REWARD$0.12May 19, 00:21 UTC
- REWARD$0.21May 19, 00:20 UTC
- TRADEBUYSpurs vs. Thunder$1.60May 18, 21:55 UTC
- TRADEBUYWill the highest temperature in Hong Kong be 27°C on May 15?$19.16May 15, 08:26 UTC
- TRADEBUYWill the highest temperature in Hong Kong be 27°C on May 15?$8.94May 15, 08:10 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)
- 30
- Avg trade size
- $45.93
- Top category
- —
- Category concentration
- 0%
- First seen
- Mar 19, 02:21 UTC
- Last active
- Jun 5, 00:20 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".