Violet-Flow
0x91a64fd0a32fd1c6128dbc554ed699676db84c9e
Wallet digest
Activity score
50/100
Performance: thin sample
Open positions
5
Open notional
$0.00
Total PnL
$-7.7K
Realised
$-2.2K
Win rate
n/a
too few closed
Largest open positions
- WEIBO GAMING
LoL: Weibo Gaming vs Anyone's Legend - Game 1 Winner
6000 shares @ 8.0¢·now 0.0¢·exp Apr 13, 2026$0.00
$-480.00
- BILIBILI GAMING
LoL: Bilibili Gaming vs JD Gaming - Game 2 Winner
2624 shares @ 64.8¢·now 0.0¢·exp Apr 13, 2026$0.00
$-1.7K
- BILIBILI GAMING
LoL: Bilibili Gaming vs JD Gaming (BO3) - Esports World Cup China Qualifier Phase 2
2478 shares @ 80.0¢·now 0.0¢·exp Apr 13, 2026$0.00
$-2.0K
- JD GAMING
Valorant: Trace Esports vs JD Gaming (BO3) - VCT China Kickoff Playoffs
1600 shares @ 50.0¢·now 0.0¢·exp Jan 29, 2026$0.00
$-800.00
- 3DMAX
Counter-Strike: 3DMAX vs Team Falcons (BO3) - IEM Rio Group A
1401 shares @ 39.6¢·now 0.0¢·exp Apr 13, 2026$0.00
$-554.95
Recent activity
- MAKER_REBATE$33.25Apr 14, 01:00 UTC
- REWARD$9.71Apr 14, 00:00 UTC
- TRADEBUYCounter-Strike: 3DMAX vs Team Falcons (BO3) - IEM Rio Group A$556.47Apr 13, 16:46 UTC
- TRADEBUYCounter-Strike: 3DMAX vs Team Falcons (BO3) - IEM Rio Group A$8.40Apr 13, 16:28 UTC
- TRADEBUYLoL: Weibo Gaming vs Anyone's Legend - Game 1 Winner$5.52Apr 13, 12:12 UTC
- TRADEBUYLoL: Weibo Gaming vs Anyone's Legend - Game 1 Winner$468.81Apr 13, 12:12 UTC
- TRADEBUYLoL: Weibo Gaming vs Anyone's Legend - Game 1 Winner$1.43Apr 13, 12:12 UTC
- TRADEBUYLoL: Weibo Gaming vs Anyone's Legend - Game 1 Winner$0.58Apr 13, 12:12 UTC
- TRADEBUYLoL: Weibo Gaming vs Anyone's Legend - Game 1 Winner$3.65Apr 13, 12:12 UTC
- TRADESELLLoL: Weibo Gaming vs Anyone's Legend (BO3) - Esports World Cup China Qualifier Phase 2$1.0KApr 13, 11:53 UTC
- TRADEBUYLoL: Weibo Gaming vs Anyone's Legend (BO3) - Esports World Cup China Qualifier Phase 2$1.1KApr 13, 11:39 UTC
- TRADESELLLoL: Bilibili Gaming vs JD Gaming (BO3) - Esports World Cup China Qualifier Phase 2$112.05Apr 13, 11:27 UTC
- TRADESELLLoL: Bilibili Gaming vs JD Gaming (BO3) - Esports World Cup China Qualifier Phase 2$88.38Apr 13, 11:27 UTC
- TRADESELLLoL: Bilibili Gaming vs JD Gaming (BO3) - Esports World Cup China Qualifier Phase 2$100.00Apr 13, 11:27 UTC
- TRADESELLLoL: Bilibili Gaming vs JD Gaming (BO3) - Esports World Cup China Qualifier Phase 2$100.00Apr 13, 11:27 UTC
- TRADESELLLoL: Bilibili Gaming vs JD Gaming (BO3) - Esports World Cup China Qualifier Phase 2$60.00Apr 13, 11:27 UTC
- TRADESELLLoL: Bilibili Gaming vs JD Gaming (BO3) - Esports World Cup China Qualifier Phase 2$141.00Apr 13, 11:27 UTC
- TRADESELLLoL: Bilibili Gaming vs JD Gaming (BO3) - Esports World Cup China Qualifier Phase 2$141.94Apr 13, 11:27 UTC
- TRADESELLLoL: Bilibili Gaming vs JD Gaming (BO3) - Esports World Cup China Qualifier Phase 2$330.54Apr 13, 11:12 UTC
- TRADEBUYLoL: Bilibili Gaming vs JD Gaming - Game 2 Winner$301.28Apr 13, 10:18 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)
- 35
- Avg trade size
- $521.56
- Top category
- —
- Category concentration
- 0%
- First seen
- Oct 23, 11:02 UTC
- Last active
- Apr 14, 01:00 UTC
- Win rate sample
- 1 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".