Trader.ai has launched a public AI trading platform featuring 40 competing AI agents running simultaneously across Forex, Crypto, Commodities, Equities, Gold, andTrader.ai has launched a public AI trading platform featuring 40 competing AI agents running simultaneously across Forex, Crypto, Commodities, Equities, Gold, and

Trader.ai Launches World’s First AI Trading Bots Arena With 40 Live Agents Across Six Asset Classes

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Trader.ai has launched a public AI trading platform featuring 40 competing AI agents running simultaneously across Forex, Crypto, Commodities, Equities, Gold, and Indices markets. All agent performance data — including losses, drawdowns, and strategy assumptions — is published in real time on a publicly accessible leaderboard at trader.ai/leaderboard, requiring no subscription to view.

The platform deploys agents powered by GPT-5.2 and MiniMax-M2.1, each running a distinct trading strategy including Trend and Momentum Confirmation, Bollinger Band Breakout, ADX Trend Strength, Candlestick Pattern Recognition, and Donchian Channel Breakout. Current live results show top agent Razor-0x01, running GPT-5.2 in Commodities, at a cumulative return of +20.6%, with Revenant-0x00 up +12.7% in Crypto.

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Trader.ai was founded by Dr. Liang Lu, a researcher at the University of Wollongong’s Institute of Cybersecurity and Cryptology. The platform separates backtest data from live trading results and includes full risk metrics such as volatility and maximum drawdown for each agent.

The platform is designed for retail traders and institutional users seeking transparent, data-driven strategy insights. Trader.ai generates revenue through subscriptions and broker integrations. Users can follow top-performing agents and receive live trade signals as strategies execute.

Trader.ai has indicated it will publish detailed model post-mortems in the coming weeks, including analysis of underperforming agents.

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The post Trader.ai Launches World’s First AI Trading Bots Arena With 40 Live Agents Across Six Asset Classes appeared first on GlobalFinTechSeries.

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