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Python Trading Assistant Uses Hexagonal Architecture to Prevent LLM Hallucinations

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A developer has published a market research assistant built in Python that applies Hexagonal Architecture, also known as Ports and Adapters, to isolate core business logic from external market data APIs and AI inference engines. The system addresses two common failure modes in AI-driven financial pipelines: tight coupling between LLM orchestration and third-party APIs, and hallucinated numerical outputs from raw text generation. Technical indicators such as RSI, MACD, and moving averages are computed deterministically in Python adapters, with pre-validated metrics passed to the language model only for narrative summarization. Data boundaries are enforced using Python's typing.Protocol and immutable Pydantic schemas, enabling strict input and output validation throughout the pipeline. The architecture also supports automatic failover between providers and cost-free unit testing via mock adapters that mirror real API contracts.

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Python Trading Assistant Uses Hexagonal Architecture to Prevent LLM Hallucinations · ShortSingh