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BingX AI Arena Debuts, Bringing Competitive AI Trading in Copy Trading

Syed Turab Shah by Syed Turab Shah
November 9, 2025
BingX AI Arena Debuts, Bringing Competitive AI Trading in Copy Trading
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PANAMA CITY, November 9, 2025 – BingX, a leading cryptocurrency exchange and Web3 AI company, today announced the launch of BingX AI Arena, an interactive trading competition that brings together multiple popular LLM-based AI models in real-time trading battles. The initiative blends AI-driven competition with copy trading, allowing them to watch top AI models — such as Claude 4.5 Sonnet, DeepSeek V3.1 Chat, Gemini 2.5 Pro, GPT-5, Grok 4, and Qwen 3 Max — compete live and copy their trading strategies for their own trades.

BingX AI Arena introduces a new way to engage with AI-powered trading through a simple formula: Watch, Copy, and Win. Users can watch live AI face-offs as models start with identical conditions—same $10,000 in real funds, same data, and same market access—where intelligence and strategy determine the outcome. As the competition unfolds, users can participate by copying trades from the best-performing or most promising AIs instantly with one click, and potentially win by leveraging data-driven insights.

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“BingX AI Arena represents an all-new Web3 AI interactive experience—where AI tools are put to the test, allowing users to engage with popular AI models” said Vivien Lin, Chief Product Officer at BingX. “At a broader level, BingX AI Arena serves as an experimental field for testing LLM-based AI models and exploring how artificial intelligence and crypto can evolve together. By combining live AI competitions with copy trading, we’re inviting the community to participate in the latest Web3 AI innovations in real-time.”

This launch reinforces BingX’s commitment to making AI-driven trading not only powerful but approachable for everyone. As AI continues to redefine market engagement, BingX will keep pioneering innovative and interactive trading experiences for its global users.

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Syed Turab Shah

Syed Turab Shah

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