Dizzy-County
0x1470a6ce43f98fadbd57d92f842f735ca7a37cbe
Wallet digest
Activity score
49/100
Performance: thin sample
Open positions
3
Open notional
$0.00
Total PnL
$-6.0K
Realised
$0.00
Win rate
n/a
too few closed
Recent activity
- TRADESELLWill FC Augsburg win on 2025-10-18?$1.5KOct 18, 13:55 UTC
- TRADEBUYWill FC Augsburg win on 2025-10-18?$1.8KOct 18, 13:24 UTC
- TRADESELLWill FSV Mainz 05 win on 2025-10-05?$1.8KOct 5, 15:35 UTC
- TRADEBUYWill FSV Mainz 05 win on 2025-10-05?$2.0KOct 5, 15:09 UTC
- TRADESELLWill Crystal Palace win on 2025-10-05?$1.5KOct 5, 14:45 UTC
- TRADEBUYWill Crystal Palace win on 2025-10-05?$1.0KOct 5, 10:01 UTC
- TRADEBUYWill Crystal Palace win on 2025-10-05?$4.4KOct 4, 22:01 UTC
- TRADEBUYWill Liverpool win on 2025-10-04?$3.5KOct 4, 16:00 UTC
- TRADEBUYWill Atalanta win on 2025-10-04?$1.5KOct 4, 15:59 UTC
- REDEEMWill Atletico Madrid vs. Villarreal end in a draw?$0.00Oct 4, 15:51 UTC
- REDEEMWill Sweden win on 2025-09-08?$0.00Oct 4, 15:51 UTC
- REDEEMWill Cameroon win on 2025-09-09?$0.00Oct 4, 15:51 UTC
- REDEEMColorado vs. Houston$0.00Oct 4, 15:51 UTC
- REDEEMWill Eintracht Frankfurt win on 2025-09-12?$0.00Oct 4, 15:51 UTC
- TRADEBUYWill VfL Wolfsburg win on 2025-10-04?$1.0KOct 4, 12:20 UTC
- TRADESELLWill Tottenham win on 2025-10-04?$1.0KOct 4, 12:12 UTC
- TRADEBUYWill Tottenham win on 2025-10-04?$1.4KOct 3, 21:12 UTC
- TRADESELLWill Bournemouth win on 2025-10-03?$1.4KOct 3, 21:07 UTC
- TRADEBUYWill Bournemouth win on 2025-10-03?$696.93Oct 3, 17:19 UTC
- TRADEBUYWill Atletico Madrid vs. Villarreal end in a draw?$94.00Sep 13, 19:03 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)
- 25
- Avg trade size
- $2.3K
- Top category
- —
- Category concentration
- 0%
- First seen
- Sep 7, 21:16 UTC
- Last active
- Oct 18, 13:55 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".