Human vs. Machine Battle Update: 12 traders nearly wiped out, AI models defy the trend and rise

【Blockchain Rhythm】The Aster Human-Machine Competition enters its seventh day with intense battles. After weekend market volatility, the situation has reversed.

The trader camp has been heavily impacted. Twelve trader accounts are nearly wiped out, with overall returns dropping from +3.92% at the beginning of the week to -15.37%. The former leader “Eagle” has seen its funds shrink by 83%, now falling back to the initial principal level. In contrast, the AI camp has been relatively resilient, with overall returns slightly decreasing from -1.72% to -3.20%, showing stronger robustness.

Specifically, the top three traders on the leaderboard each have different situations—MrRolex, in first place, has maintained the lead but lost $3,080 in 24 hours, with an account balance of about $22,200, under significant pressure. The second-place trader 0xJack has approximately $21,700 in funds, also suffering a loss of $1,400 within 24 hours. Surprisingly, third place Tippy has rebounded, earning about $6,280 in 24 hours, with an account balance of around $17,700, demonstrating impressive trading skills.

Among the AI camp, the best performer Claude Sonnet 4.5 ranks 7th in total profit, earning about $850 in 24 hours, with an account balance of approximately $14,900. Although its absolute gains are less than top traders, its stability and risk control capabilities have attracted attention.

Event background review: The competition has been ongoing for 7 days since launch. Each participant started with $10,000, divided into trader and AI camps competing against each other. Moreover, the well-known prediction platform Polymarket has launched a concurrent “Who will win the Aster trading competition?” prediction market. Currently, the top favorite “Jobber” has about a 39% chance of winning, indicating mixed market sentiment about the overall trend.

As the race enters the mid-stage, strategic differences among the camps become more apparent. Traders rely on flexible decision-making but are under pressure from market volatility, while AI leverages algorithm stability to gradually close the gap. How the next seven days will unfold remains to be closely watched.