Known-Anarchy
0x4e76ccb165bcf0e5459df1bf4aa70ceef67cc23f
Activity score
75/100
Performance: thin sample
Open positions
7
Open notional
$1.1K
Total PnL
$-367.94
Realised
$21.25
Win rate
n/a
too few closed
Largest open positions
- YES
Will Bitcoin reach $95,000 in May?
7661 shares @ 7.0¢·now 7.5¢·exp Jun 1, 2026$574.55
$38.56
- YES
Will Bitcoin dip to $60,000 in May?
7816 shares @ 7.0¢·now 6.5¢·exp Jun 1, 2026$508.05
$-41.94
- NO
Tesla launches unsupervised full self driving (FSD) by June 30?
87066 shares @ 0.2¢·now 0.0¢·exp Jun 30, 2026$0.00
$-199.90
- YES
Will Italy win?
1539 shares @ 4.0¢·now 0.0¢·exp Mar 1, 2026$0.00
$-62.19
- YES
Will Italy win?
964 shares @ 9.8¢·now 0.0¢·exp Feb 21, 2026$0.00
$-94.00
- YES
Will the match end in a draw?
330 shares @ 2.9¢·now 0.0¢·exp Apr 19, 2026$0.00
$-9.71
- YES
Will Levante UD vs. Valencia CF end in a draw?
223 shares @ 9.0¢·now 0.0¢·exp Feb 15, 2026$0.00
$-20.00
Recent activity
- TRADEBUYWill Bitcoin dip to $60,000 in May?$586.811h ago
- TRADEBUYWill Bitcoin reach $95,000 in May?$571.891h ago
- TRADEBUYWill the match end in a draw?$10.0019d ago
- TRADESELLWill France win?$16.6848d ago
- TRADEBUYWill France win?$12.6948d ago
- TRADEBUYWill Italy win?$62.1969d ago
- TRADEBUYWill Levante UD vs. Valencia CF end in a draw?$20.0075d ago
- TRADESELLWill RB Leipzig vs. VfL Wolfsburg end in a draw?$524.8875d ago
- TRADEBUYWill RB Leipzig vs. VfL Wolfsburg end in a draw?$502.7375d ago
- TRADESELLWill RB Leipzig vs. VfL Wolfsburg end in a draw?$502.4975d ago
- TRADESELLWill VfL Wolfsburg win on 2026-02-15?$0.2375d ago
- TRADEBUYWill RB Leipzig vs. VfL Wolfsburg end in a draw?$464.6675d ago
- TRADESELLWill VfL Wolfsburg win on 2026-02-15?$0.5475d ago
- TRADESELLWill VfL Wolfsburg win on 2026-02-15?$464.1275d ago
- TRADEBUYWill VfL Wolfsburg win on 2026-02-15?$484.6275d ago
- REDEEMWill Scotland win?$448.4075d ago
- TRADESELLWill Wales win?$18.9875d ago
- TRADESELLWill the match end in a draw?$0.1475d ago
- TRADEBUYWill Wales win?$70.0075d ago
- TRADEBUYWill the match end in a draw?$0.8175d ago
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)
- 29
- Avg trade size
- $180.59
- Top category
- —
- Category concentration
- 0%
- First seen
- 91d ago
- Last active
- 1h ago
- 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".