Developer builds open-source AI stock analysis tool that shows its full reasoning chain

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A developer frustrated with opaque AI stock-picking tools has built VerumTrade, an open-source multi-agent system designed to make every step of its investment reasoning transparent and auditable. The tool runs six sequential stages — including parallel evidence gathering, a structured bull-versus-bear debate, a trader plan, and a risk review — before issuing a final decision. Unlike conventional AI tools that output a confidence score with no explanation, VerumTrade requires its final decision to cite specific, structured evidence IDs, and validation fails if it cannot. The project builds on TradingAgents, an existing open-source trading framework, but adds a typed evidence graph and schema-validated trade objects to structurally link conclusions to facts. Released under the Apache-2.0 licence, VerumTrade is positioned as a transparency-first alternative to black-box AI investment tools.

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