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LangAlpha releases v2.0 investment research system

1 reports1 story updatesUpdated Oct 21 17:46

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On October 21, 2026, the open-source project LangAlpha released its v2.0 investment research system. According to a report by A-Yi AI Notes, the system puts a virtual analyst team and four tiers of trading authorization into a single workspace, and can connect to brokers such as Robinhood, Interactive Brokers, and moomoo. The four authorization tiers are: no trading, manual approval for every trade, strategy plan first and then execution, and fully autonomous; the system's Chief of Staff breaks tasks down and distributes them to the semiconductor team, portfolio management team, and earnings report team for concurrent processing, and outputs strategy reports with backtests and checkpoints. The report says the project already has more than 1,800 Stars in the open-source community, and the author recommends starting with per-trade approval and then gradually delegating authority. There are currently no subsequent developments.

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Open-source project LangAlpha v2.0 launches an investment research agent system that connects to multiple brokerages

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  1. LangAlpha releases v2.0 investment research system

    Source:Ayi AI Notes

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Oct 21

  1. Ayi AI Notes

    Open-source project LangAlpha v2.0 launches an investment research agent system that connects to multiple brokerages

    The open-source project LangAlpha v2.0 has released an investment research system that puts a virtual analyst team and four tiers of trading authorization into the same workspace, and can connect to brokerages such as Robinhood, Interactive Brokers, and moomoo. The four authorization tiers are no trading, manual approval for every trade, produce a strategy plan before acting, and fully autonomous. The system uses a Chief of Staff to split tasks among the semiconductor team, portfolio management team, and earnings report team for concurrent processing, and outputs strategy reports with backtests and checkpoints. The project already has more than 1,800 Stars in the open-source community, and the author recommends locking in per-trade approval first and then gradually delegating authority.

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