「Aster Trader Battle」 Trader Faction Temporarily in the Lead, Top Gainer "HodlHawk" Capital has Doubled Sixfold

By: theblockbeats.news|2025/12/12 08:15:58

BlockBeats News, December 12th, according to referral/aboter" target="_blank">Aster's official website, in the "Aster Man vs. Machine Competition," the overall return rate of the Trader camp is currently 3.92%, while the AI camp's overall return rate is about -1.72%. On the total profit leaderboard, Trader "Night Owl" is significantly leading the race and currently holds the top spot, with the initial capital now nearly sextupled; the highest-ranked in the AI camp is Qwen3, ranking 22nd on the total profit leaderboard. The specific performance of the top three addresses on the profit leaderboard is as follows:

Night Owl (X:thankUcrypto): Approximately $9,550 profit in 24 hours, account balance around $58,900;

0xJack (X:Trader_Liu): Approximately $2,910 profit in 24 hours, account balance around $23,200;

MrRolex (X:MrRolexes): Approximately $8,710 profit in 24 hours, account balance around $23,100;

Qwen3: Approximately $1,750 profit in 24 hours, account balance around $11,200;

On November 28th, according to Aster's official announcement, this competition set up two major camps: Traders and AI, with each participant starting with $10,000. As of now, the competition has been ongoing for 4 days. Polymarket simultaneously launched a related prediction market "Who will win the Aster trading competition?" The current prediction shows that "Night Owl" has seen an increase in winning probability, now at 52%.

At WEEX, we recognize that the holiday season often brings a different trading experience for many users. As market participation slows, price behavior can feel less predictable and familiar trading rhythms may shift. For traders following AI news today or using AI trading tools, this period often highlights how market structure can influence model performance and short-term signals. Approaching these periods with clear expectations and a disciplined mindset can help traders better navigate seasonal market conditions.

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