Gigantic-Personnel
0xce9747202fb03522d8fbfb68753ce78fe2d08131
Activity score
60/100
Performance: thin sample
Open positions
2
Open notional
$9.00
Total PnL
$-61.50
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
Recent activity
- TRADESELLWild vs. Avalanche: O/U 4.5$18.1522h ago
- TRADESELLWild vs. Avalanche: O/U 4.5$15.4722h ago
- TRADESELLWild vs. Avalanche: O/U 4.5$20.8122h ago
- TRADESELLWild vs. Avalanche: O/U 4.5$13.8222h ago
- SPLITWild vs. Avalanche: O/U 4.5$75.0022h ago
- TRADESELLWill the highest temperature in Hong Kong be 30°C or higher on April 26?$31.7517d ago
- TRADESELLWill the highest temperature in Hong Kong be 30°C or higher on April 26?$24.3517d ago
- TRADESELLWill the highest temperature in Hong Kong be 30°C or higher on April 26?$8.2317d ago
- SPLITWill the highest temperature in Hong Kong be 30°C or higher on April 26?$66.0017d ago
- REDEEMRaptors vs. Cavaliers: O/U 219.5$50.0017d ago
- TRADESELLRaptors vs. Cavaliers: O/U 219.5$7.8526d ago
- TRADESELLRaptors vs. Cavaliers: O/U 219.5$8.3226d ago
- TRADESELLRaptors vs. Cavaliers: O/U 219.5$4.6326d ago
- TRADESELLRaptors vs. Cavaliers: O/U 219.5$5.2026d ago
- SPLITRaptors vs. Cavaliers: O/U 219.5$50.0026d ago
- MERGEWill Madhav Kumar Nepal be the next Prime Minister of Nepal?$1.8K84d ago
- TRADEBUYWill Madhav Kumar Nepal be the next Prime Minister of Nepal?$391.6084d ago
- TRADEBUYWill Madhav Kumar Nepal be the next Prime Minister of Nepal?$1.4K84d ago
- TRADESELLWill Madhav Kumar Nepal be the next Prime Minister of Nepal?$564.3484d ago
- TRADESELLWill Madhav Kumar Nepal be the next Prime Minister of Nepal?$1.2K84d 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)
- 32
- Avg trade size
- $600.60
- Top category
- —
- Category concentration
- 0%
- First seen
- 119d ago
- Last active
- 22h 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".
