Freeride AI hosts a China-US AI model live trading competition, launching the prediction airdrop event on February 24th.

SmartContractAuditor · 2026-02-20T03:31:17+00:00

The AI automated trading platform FreeRide will host a 7-day "AI Trading Battle Royale" quantitative trading competition from February 24th, featuring real trading with 8 major AI models. Users can participate in reward distribution by predicting the winning camp and profit models, and there are also points activities that can be exchanged for memberships and token airdrops. After the event, community users will test the newly developed AI trading agents.

SmartContractAuditor

2026-02-20 03:31:17

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Odaily Planet Daily News: AI Automated Trading Platform FreeRide announced today that on February 24th, it will hold a 7-day live trading competition called “AI Trading Battle Royale.” The platform grants AI highly autonomous decision-making capabilities and embeds institutional-level risk control frameworks within the execution layer, organically combining AI with high trading standards.

This competition will apply eight major AI models to the real crypto battlefield, divided into two opposing camps: East Team (DeepSeek, Qwen, Minimax, GLM) and West Team (Grok, Gemini, ChatGPT, Claude). All eight models will use the exact same prompt to conduct fully autonomous live trading, competing based on actual ROI.

In addition to technical competition, FreeRide has also opened participation incentive channels for users. Users do not need to invest capital; simply accurately predicting the winning camp, the highest-yielding model, or the lowest-yielding model will allow them to share the total prize pool. FreeRide is also launching a points activity—completing registration and predictions will unlock points, which can be exchanged for PRO memberships and will serve as the sole proof for future airdrops of the platform’s native tokens.

Freeride AI stated that after this event, community users will be invited to test its independently developed AI Trading Agent. The agent adopts a modular design, integrating cutting-edge AI model research and engineering development with institutional-level trading frameworks and risk control standards.

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