Lonely-Hydraulics
0x0428776f3b242be5f8b47e052042e885c779f13f
Wallet digest
Activity score
57/100
Performance measurable
Open positions
200
Open notional
$0.00
Total PnL
$-871.88
Realised
$9.77
Win rate
69%
35 closed
Largest open positions
showing 10 of 200- ITALY
T20 World Cup: England vs Italy (Game 1)
130 shares @ 1.8¢·now 0.0¢·exp Feb 23, 2026$0.00
$-2.38
- INDIA
ODI Series Australia vs India, Women: Australia vs India
112 shares @ 3.4¢·now 0.0¢·exp Mar 7, 2026$0.00
$-3.80
- ZIMBABWE
T20 World Cup: Zimbabwe vs West Indies
90 shares @ 8.4¢·now 0.0¢·exp Mar 2, 2026$0.00
$-7.55
- ITALY
T20 World Cup: Italy vs West Indies (Game 1)
70 shares @ 9.0¢·now 0.0¢·exp Feb 26, 2026$0.00
$-6.30
- NEW ZEALAND
International T20 Series: India vs New Zealand (Game 1)
63 shares @ 1.6¢·now 0.0¢·exp Jan 28, 2026$0.00
$-1.00
- YES
Will the match end in a draw?
59 shares @ 1.9¢·now 0.0¢·exp May 23, 2026$0.00
$-1.10
- SRI LANKA
International ODI: Sri Lanka vs England (Game 2)
57 shares @ 24.7¢·now 0.0¢·exp Jan 31, 2026$0.00
$-14.00
- NAMIBIA
T20 World Cup: Namibia vs Pakistan (Game 1)
50 shares @ 2.5¢·now 0.0¢·exp Feb 25, 2026$0.00
$-1.25
- ITALY
T20 World Cup: Italy vs Scotland (Game 1)
50 shares @ 10.9¢·now 0.0¢·exp Feb 16, 2026$0.00
$-5.45
- INDIA
ODI Series Australia vs India, Women: Australia vs India
47 shares @ 17.2¢·now 0.0¢·exp Mar 3, 2026$0.00
$-8.10
Recent activity
- TRADEBUYWill Czechia win on 2026-06-11?$1.42Jun 4, 18:02 UTC
- TRADEBUYWill Rajasthan Royals win the 2026 Indian Premier League?$2.04May 29, 16:09 UTC
- TRADEBUYIndian Premier League: Gujarat Titans vs Rajasthan Royals$1.94May 29, 14:13 UTC
- TRADEBUYIndian Premier League: Sunrisers Hyderabad vs Rajasthan Royals$1.70May 27, 14:58 UTC
- TRADEBUYT20 Blast: Hampshire vs Essex$1.02May 26, 18:56 UTC
- TRADEBUYT20 Blast: Hampshire vs Essex$1.24May 26, 18:40 UTC
- TRADEBUYT20 Blast: Hampshire vs Essex$2.00May 26, 18:39 UTC
- TRADEBUYT20 Blast: Hampshire vs Essex$2.59May 26, 18:34 UTC
- TRADEBUYIndian Premier League: Royal Challengers Bengaluru vs Gujarat Titans$1.54May 26, 16:34 UTC
- REDEEMT20 Blast: Kent vs Sussex$4.13May 26, 13:49 UTC
- TRADEBUYT20 Blast: Kent vs Sussex$1.68May 25, 15:39 UTC
- REDEEMT20 Blast: Warwickshire vs Somerset$9.00May 25, 13:25 UTC
- TRADEBUYValorant: Leviatán Esports vs G2 Esports (BO5) - VCT Americas Stage 1 Playoffs$2.83May 24, 18:02 UTC
- TRADESELLT20 Blast: Warwickshire vs Somerset$2.84May 24, 18:01 UTC
- TRADEBUYT20 Blast: Warwickshire vs Somerset$1.37May 24, 16:25 UTC
- TRADEBUYT20 Blast: Warwickshire vs Somerset$3.05May 24, 16:24 UTC
- TRADEBUYT20 Blast: Warwickshire vs Somerset$0.77May 24, 16:21 UTC
- TRADESELLIndian Premier League: Mumbai Indians vs Rajasthan Royals$0.64May 24, 13:40 UTC
- TRADESELLIndian Premier League: Mumbai Indians vs Rajasthan Royals$3.27May 24, 13:40 UTC
- TRADEBUYIndian Premier League: Mumbai Indians vs Rajasthan Royals$1.23May 24, 13:03 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)
- 47
- Avg trade size
- $2.12
- Top category
- —
- Category concentration
- 0%
- First seen
- May 17, 12:09 UTC
- Last active
- Jun 4, 18:02 UTC
- Win rate sample
- 35 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".