Darling-Beet
0x74be7a3a0bd06dbb82030e8bba9da43d1e52fb9c
Activity score
82/100
Performance: thin sample
Open positions
1
Open notional
$50.14
Total PnL
$0.14
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
Recent activity
- TRADEBUYWill the highest temperature in Kuala Lumpur be 29°C on May 6?$50.052h ago
- REDEEMWill the highest temperature in Kuala Lumpur be 29°C on May 5?$40.203h ago
- TRADEBUYWill the highest temperature in Kuala Lumpur be 29°C on May 5?$40.011d ago
- TRADESELLWill the highest temperature in Kuala Lumpur be 30°C on May 5?$5.041d ago
- REDEEMWill the highest temperature in Kuala Lumpur be 30°C on May 4?$10.311d ago
- REDEEMWill the highest temperature in Kuala Lumpur be 29°C on May 4?$40.321d ago
- TRADEBUYWill the highest temperature in Kuala Lumpur be 30°C on May 5?$5.012d ago
- TRADEBUYWill the highest temperature in Kuala Lumpur be 30°C on May 4?$10.012d ago
- TRADEBUYWill the highest temperature in Kuala Lumpur be 29°C on May 4?$40.022d ago
- REDEEMWill Bruno Mars have the greatest number of monthly Spotify listeners this month?$2.112d ago
- REDEEMWill PLC win the third most seats in the 2026 Colombian Chamber of Representatives election?$2.0310d ago
- TRADESELLWill the highest temperature in Kuala Lumpur be 29°C on April 21?$0.1014d ago
- REDEEMWill the highest temperature in Kuala Lumpur be 28°C on April 21?$52.9814d ago
- TRADEBUYWill the highest temperature in Kuala Lumpur be 29°C on April 21?$10.0015d ago
- TRADESELLWill the highest temperature in Kuala Lumpur be 34°C or higher on April 20?$10.3515d ago
- TRADEBUYWill the highest temperature in Kuala Lumpur be 28°C on April 21?$52.8315d ago
- REDEEMWill the highest temperature in Kuala Lumpur be 30°C on April 19?$0.0015d ago
- REDEEMWill the highest temperature in Kuala Lumpur be 28°C on April 20?$5.1015d ago
- REDEEMWill the highest temperature in Kuala Lumpur be 29°C on April 20?$57.7215d ago
- TRADEBUYWill the highest temperature in Kuala Lumpur be 28°C on April 20?$5.0816d 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)
- 39
- Avg trade size
- $25.75
- Top category
- —
- Category concentration
- 0%
- First seen
- 21d ago
- Last active
- 2h 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".