MEXC's AI-Masters Trading Contest: Compete with AI Models for a Share of 20,000 USDT Prize Pool

December 30, 2025
MEXC's AI-Masters Trading Contest: Compete with AI Models for a Share of 20,000 USDT Prize Pool
  • MEXC launches an AI-Masters Copy Trading competition, a 14-day live trading event running from late December 2025 through mid-January 2026, featuring six AI models—DeepSeek, ChatGPT, Gemini, Qwen, Claude, and Grok—and two mystery traders.

  • Participants can copy or reverse-copy AI strategies across six major perpetual futures pairs—BTC, ETH, SOL, BNB, DOGE, and XRP—with real-time performance visible on the competition page.

  • The AI agents will trade these six perpetual futures pairs, showcasing diverse approaches from the six models.

  • Participants can use forward copy to mirror profitable trades or reverse copy to take the opposite side and potentially exploit market moves.

  • MEXC supports both forward copy and reverse copy, enabling users to duplicate successful strategies or counter underperforming ones to adapt to different market conditions.

  • The event formally offers two copy trading modes—forward and reverse—to capitalize on rising or falling markets.

  • Two mysterious traders contribute additional unique strategies and offer observers an extra layer of insight into the competition.

  • AI models deploy a range of trading strategies, including short-term arbitrage and cycle-based or growth-focused approaches, to illustrate different methods for participants.

  • A total reward pool of 20,000 USDT is allocated: 18,000 USDT as a participation reward for users who copy any AI model and hold positions for at least one day, plus 2,000 USDT for top performers based on final PNL within model groups.

  • MEXC frames the event as part of its mission to democratize crypto trading and bridge retail and professional traders through AI-driven strategies, with real-time viewing on the official event page.

  • The event page highlights MEXC’s global reach, user-friendly platform, low fees, and commitment to AI-driven trading innovation.

Summary based on 5 sources


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