Pure-Sneaker
0x1d55a57501c3668a102b543636a44442b9becfb6
Activity score
60/100
Performance: thin sample
Open positions
6
Open notional
$10.78
Total PnL
$-22.37
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
- NO
Will Bitcoin reach $81,000 on May 10?
57 shares @ 11.5¢·now 19.0¢·exp May 11, 2026$10.78
$4.28
- NO
Will Bitcoin dip to $80,000 on May 7?
91 shares @ 10.9¢·now 0.0¢·exp May 8, 2026$0.00
$-9.88
- NO
Will Bitcoin dip to $75,000 on April 29?
65 shares @ 8.4¢·now 0.0¢·exp Apr 30, 2026$0.00
$-5.46
- NO
Will Bitcoin dip to $76,000 on April 29?
53 shares @ 8.8¢·now 0.0¢·exp Apr 30, 2026$0.00
$-4.67
- YES
Will Bitcoin dip to $75,000 on April 27?
42 shares @ 10.9¢·now 0.0¢·exp Apr 28, 2026$0.00
$-4.64
- NO
Will Bitcoin reach $81,000 on May 9?
13 shares @ 15.0¢·now 0.0¢·exp May 10, 2026$0.00
$-2.00
Recent activity
- TRADEBUYWill Bitcoin reach $81,000 on May 10?$0.501h ago
- TRADEBUYWill Bitcoin reach $81,000 on May 10?$2.001h ago
- TRADEBUYWill Bitcoin reach $81,000 on May 10?$2.001h ago
- TRADEBUYWill Bitcoin reach $81,000 on May 10?$1.971h ago
- TRADEBUYWill Bitcoin reach $81,000 on May 10?$0.031h ago
- TRADEBUYWill Bitcoin reach $81,000 on May 9?$2.0016h ago
- TRADEBUYWill Bitcoin dip to $80,000 on May 7?$2.003d ago
- TRADEBUYWill Bitcoin dip to $80,000 on May 7?$2.003d ago
- TRADEBUYWill Bitcoin dip to $80,000 on May 7?$0.043d ago
- TRADEBUYWill Bitcoin dip to $80,000 on May 7?$1.843d ago
- TRADEBUYWill Bitcoin dip to $80,000 on May 7?$0.233d ago
- TRADEBUYWill Bitcoin dip to $80,000 on May 7?$1.223d ago
- TRADEBUYWill Bitcoin dip to $80,000 on May 7?$0.583d ago
- TRADEBUYWill Bitcoin dip to $80,000 on May 7?$0.303d ago
- TRADEBUYWill Bitcoin dip to $80,000 on May 7?$0.953d ago
- TRADEBUYWill Bitcoin dip to $80,000 on May 7?$0.793d ago
- TRADESELLWill Bitcoin reach $83,000 on May 6?$12.454d ago
- TRADEBUYWill Bitcoin reach $83,000 on May 6?$2.004d ago
- TRADEBUYWill Bitcoin dip to $75,000 on April 29?$0.3511d ago
- TRADEBUYWill Bitcoin dip to $75,000 on April 29?$0.9111d 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)
- 27
- Avg trade size
- $1.78
- Top category
- —
- Category concentration
- 0%
- First seen
- 13d ago
- Last active
- 1h ago
- 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".
