Posh-Play
0x8ef4a803031500d0bcdc5d5a8a0488871c4b80ae
Activity score
51/100
Performance: thin sample
Open positions
4
Open notional
$7.03
Total PnL
$-1.97
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
- YES
Will the highest temperature in Seoul be 21°C on May 11?
20 shares @ 15.0¢·now 13.0¢·exp May 11, 2026$2.60
$-0.40
- NO
Will Trump visit China by May 15?
30 shares @ 10.0¢·now 8.5¢·exp Mar 31, 2026$2.55
$-0.45
- YES
Will the highest temperature in Hong Kong be 29°C on May 12?
3 shares @ 37.0¢·now 36.0¢·exp May 12, 2026$0.97
$-0.03
- YES
Will the highest temperature in Hong Kong be 27°C on May 12?
18 shares @ 11.0¢·now 5.0¢·exp May 12, 2026$0.91
$-1.09
Recent activity
- TRADEBUYWill the highest temperature in Hong Kong be 29°C on May 12?$1.037h ago
- TRADEBUYWill the highest temperature in Hong Kong be 27°C on May 12?$2.097h ago
- TRADEBUYWill Trump visit China by May 15?$3.117h ago
- TRADEBUYWill the highest temperature in Seoul be 21°C on May 11?$3.137h 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)
- 4
- Avg trade size
- $2.34
- Top category
- —
- Category concentration
- 0%
- First seen
- 7h ago
- Last active
- 7h 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".
