Designing agentic stock analysis workflows
A project overview of combining structured market data, stateful agent workflows, and automated reporting.
Stock-Agent-Ops is a project exploring how an agentic workflow can support stock analysis and business reporting. The system brings together structured market data, multi-step reasoning, and tool execution in one pipeline.
Keep each step inspectable
The workflow uses LangGraph to coordinate stateful steps and checkpoint intermediate state. That makes it easier to follow what the pipeline has already processed and where a later step needs to continue.
Give the workflow a useful interface
FastAPI provides the service layer, while Redis supports processing between steps. The project also uses MLflow and Docker as part of its development and deployment stack.
The goal is a clear data path from inputs to an automated report, with each component serving a defined role. This post reflects the project scope and tools listed in my portfolio; the implementation continues to evolve.
