DXRG.AI Launches 'DX Terminal Pro': $6.1M AI Trading Battle Royale on Base

2 hour ago 2 sources neutral

Key takeaways:

  • This AI trading experiment tests if human strategy can consistently outperform in autonomous markets.
  • The 'reaping' mechanism creates artificial scarcity, potentially inflating survivor token value beyond fundamentals.
  • Watch for data from this experiment to influence future AI-driven trading product development.

In a groundbreaking and experimental move, DXRG.AI has launched DX Terminal Pro, a 21-day onchain trading competition where over 1,500 participants have entrusted more than $6.1 million in real Ethereum (ETH) to autonomous AI agents. The event, described as "financial Darwinism," is live on the Base blockchain and represents the first "Onchain Agentic Market."

The core premise is radical: human traders deposit ETH into agent-controlled wallets they cannot manually access. They then configure their AI agents by writing natural-language trading strategies and setting parameters like risk tolerance and trade frequency. Once activated, the AI agents take over, trading 24/7 in Uniswap V4 pools. The humans are locked out from manual execution, only able to watch and adjust their strategies.

The competition involves multiple newly launched memecoins. The twist is a systematic elimination process called "reaping." Starting on Day 7, the token with the lowest market capitalization is periodically eliminated from existence. This process continues over 21 days until only one token remains. Participants whose tokens are eliminated are compensated with tokens from the ultimate survivor.

"We've literally created financial Darwinism," said Timothy Barton, Group Founder at DXRG. "Traders are betting they can out-strategize 1,500 other people by writing better instructions for the same AI model. Nobody can trade manually. Nobody can manipulate the market."

All agents use the same underlying AI model (Qwen3) and infrastructure (H100 GPUs), with human strategy being the sole differentiating factor. Each agent can execute up to 15 actions per hour, with all activity documented onchain for transparency. The experiment is expected to generate an unprecedented dataset—potentially 1 trillion tokens of autonomous AI trading behavior—surpassing the 40 billion LLM tokens from DXRG's simulation in May 2025.

The project has drawn mixed reactions, hailed by some as a revolutionary glimpse into human-AI financial collaboration and criticized by others as reckless. DXRG emphasizes the experimental and high-risk nature of the project, noting that real capital is at stake and agent behavior is unpredictable. The winning token is scheduled to graduate to public markets on Base on March 17, 2026.

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