Empty-Harmonise
0x49266af0a7ee3848bfdae2357f9c6aaf640960d5
Activity score
70/100
Performance: thin sample
Open positions
1
Open notional
$23.07
Total PnL
$-1.77
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
Recent activity
- TRADEBUYWill the highest temperature in Los Angeles be between 70-71°F on May 9?$25.6613h ago
- REDEEMWill the lowest temperature in Miami be between 74-75°F on May 7?$0.0013h ago
- REDEEMWill the lowest temperature in Miami be between 74-75°F on May 7?$53.0013h ago
- TRADEBUYWill the lowest temperature in Miami be between 74-75°F on May 7?$15.373d ago
- REDEEMWill the highest temperature in Shenzhen be 28°C on April 17?$0.0018d ago
- TRADEBUYWill the highest temperature in Shenzhen be 28°C on April 17?$2.9423d ago
- REDEEMWill the highest temperature in Singapore be 32°C on April 14?$0.0025d ago
- TRADEBUYWill the highest temperature in Singapore be 32°C on April 14?$7.6826d ago
- TRADEBUYWill the highest temperature in Singapore be 32°C on April 14?$5.1226d ago
- REDEEMWill the highest temperature in Tokyo be 26°C or higher on April 11?$22.7826d ago
- TRADEBUYWill the highest temperature in Tokyo be 26°C or higher on April 11?$13.6829d ago
- TRADEBUYWill the highest temperature in Tokyo be 26°C or higher on April 11?$3.8029d ago
- REDEEMWill the highest temperature in Buenos Aires be 21°C on April 6?$16.0029d ago
- TRADEBUYWill the highest temperature in Buenos Aires be 21°C on April 6?$12.6433d ago
- REDEEMWill the highest temperature in Chengdu be 26°C on April 4?$0.0034d ago
- REDEEMWill the highest temperature in Chengdu be 26°C on April 4?$0.0034d ago
- REDEEMWill the highest temperature in Chengdu be 26°C on April 4?$0.0034d ago
- TRADEBUYWill the highest temperature in Chengdu be 26°C on April 4?$0.3036d ago
- TRADEBUYWill the highest temperature in Chengdu be 26°C on April 4?$0.9536d ago
- TRADEBUYWill the highest temperature in Chengdu be 26°C on April 4?$3.2536d 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)
- 11
- Avg trade size
- $8.31
- Top category
- —
- Category concentration
- 0%
- First seen
- 36d ago
- Last active
- 13h 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".
