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# TradingAgents

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  1. TradingAgents opens early access to Trading-R1, giving multi-agent trading research a version-by-version release record

    TauricResearch's TradingAgents project has opened early access to Trading-R1 and published a version record running from v0.2.0 to v0.7.1. The project had already split multi-agent trading analysis into analyst, researcher, trader and portfolio-manager roles, and progressively added point-in-time data access, backtesting and checkpoint resume. What Trading-R1 itself adds is not detailed in the public material; what is confirmed is that the early-access channel is open.

  2. Your own ChatGPT Plus plan now runs a multi-agent trading firm, and backtests score from the first close after each call

    TradingAgents 0.7.0 lets users run the framework on their own ChatGPT Plus or Pro subscription and scores backtests from the first close after each decision. Earlier versions let backtests see only data published by each analysis date, so the numbers stopped at the analysis day. The framework splits a trading firm's roles across specialized LLM-driven agents, from fundamental, sentiment and technical analysts to a trader and a risk management team; 0.7.0 also notes at start-up when a newer release is out and ships a wheel with each GitHub release.

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