Reckless-Widget
0x5f87a479189178a82fbdcf004c6a07ef0d52be27
Wallet digest
Activity score
50/100
Performance: thin sample
Open positions
34
Open notional
$0.00
Total PnL
$-2.0K
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
showing 10 of 34- YES
Will Liverpool FC win on 2026-01-04?
379 shares @ 52.8¢·now 0.0¢·exp Jan 4, 2026$0.00
$-200.00
- YES
Will Chelsea FC win on 2026-01-04?
333 shares @ 15.0¢·now 0.0¢·exp Jan 4, 2026$0.00
$-50.00
- YES
Will Manchester City FC win on 2026-01-17?
333 shares @ 45.0¢·now 0.0¢·exp Jan 17, 2026$0.00
$-150.00
- YES
Will Liverpool FC win on 2026-01-01?
317 shares @ 63.0¢·now 0.0¢·exp Jan 1, 2026$0.00
$-200.00
- YES
Will Crystal Palace FC win on 2026-01-01?
286 shares @ 34.9¢·now 0.0¢·exp Jan 1, 2026$0.00
$-100.00
- YES
Will Brighton & Hove Albion FC win on 2026-04-18?
282 shares @ 44.0¢·now 0.0¢·exp Apr 18, 2026$0.00
$-123.88
- YES
Will Aston Villa FC win on 2026-01-07?
244 shares @ 41.0¢·now 0.0¢·exp Jan 7, 2026$0.00
$-100.00
- YES
Will Wolverhampton Wanderers FC win on 2026-01-07?
238 shares @ 21.0¢·now 0.0¢·exp Jan 7, 2026$0.00
$-50.00
- YES
Will Nottingham Forest FC win on 2026-05-07?
233 shares @ 21.5¢·now 0.0¢·exp May 7, 2026$0.00
$-50.00
- YES
Will Liverpool FC win on 2026-01-08?
222 shares @ 18.0¢·now 0.0¢·exp Jan 8, 2026$0.00
$-40.00
Recent activity
- TRADEBUYWill Nottingham Forest FC win on 2026-05-07?$25.58May 7, 18:59 UTC
- TRADEBUYWill RC Strasbourg Alsace win on 2026-05-07?$50.75May 7, 14:20 UTC
- TRADEBUYWill Nottingham Forest FC win on 2026-05-07?$25.59May 7, 14:20 UTC
- REDEEMExact Score: Arsenal FC 1 - 0 Club Atlético de Madrid?$107.14May 5, 23:33 UTC
- TRADEBUYWill Club Atlético de Madrid win on 2026-05-05?$35.86May 5, 17:39 UTC
- TRADEBUYExact Score: Arsenal FC 1 - 1 Club Atlético de Madrid?$15.40May 5, 17:38 UTC
- TRADEBUYExact Score: Arsenal FC 0 - 0 Club Atlético de Madrid?$15.41May 5, 17:38 UTC
- TRADEBUYExact Score: Arsenal FC 1 - 0 Club Atlético de Madrid?$15.39May 5, 17:38 UTC
- REDEEMWill Nottingham Forest FC win on 2026-05-04?$115.38May 5, 17:32 UTC
- TRADESELLSpread: Manchester City FC (-1.5)$38.23May 4, 19:40 UTC
- TRADEBUYSpread: Manchester City FC (-1.5)$50.88May 4, 19:00 UTC
- TRADEBUYWill Nottingham Forest FC win on 2026-05-04?$30.67May 4, 14:10 UTC
- TRADEBUYWill Aston Villa FC vs. Tottenham Hotspur FC end in a draw?$29.64May 3, 18:00 UTC
- TRADEBUYWill Arsenal FC vs. Fulham FC end in a draw?$20.47May 2, 16:28 UTC
- TRADEBUYWill Brighton & Hove Albion FC win on 2026-05-02?$11.30May 2, 14:26 UTC
- REDEEMWill Nottingham Forest FC win on 2026-04-30?$147.06Apr 30, 23:53 UTC
- TRADEBUYWill Nottingham Forest FC win on 2026-04-30?$50.99Apr 30, 18:45 UTC
- TRADEBUYWill Brentford FC win on 2026-04-27?$50.00Apr 27, 18:49 UTC
- TRADEBUYWill Tottenham Hotspur FC win on 2026-04-25?$50.00Apr 25, 13:33 UTC
- TRADEBUYWill West Ham United FC win on 2026-04-20?$55.00Apr 20, 18:44 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.
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)
- 38
- Avg trade size
- $45.48
- Top category
- —
- Category concentration
- 0%
- First seen
- Feb 23, 12:10 UTC
- Last active
- May 7, 18:59 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".