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Agentic AI Intermediate

QuantCouncil

Multi-agent stock analysis desk

Fundamentals, technicals and news-sentiment agents each make their case; a portfolio agent weighs them into one written view.

SHIPSTACK · PROJECT QuantCouncil Multi-agent stock analysisdesk Intermediate Agentic AI 1 Ticker 2 Analyst agents 3 Chair agent 4 Report 5 milestones

The scenario

QuantCouncil models an investment committee. Separate agents analyse financial statements, price action and recent news, each producing a structured opinion with evidence. A chair agent reconciles them into a report with a clear rationale and risks. Educational only — it never places trades.

System architecture

01 Ticker Company to analyse
02 Analyst agents Fundamental · technical · news
03 Chair agent Weighs the case
04 Report View, rationale, risks

High-level flow of QuantCouncil, from input to output.

What you will learn

  • Debate and consensus patterns between agents
  • Tool use for financial data and indicators
  • Structured opinions with evidence

What you will build

  • Three analyst agents
  • Chair agent and report
  • Dashboard with charts

Build plan

  1. Data tools
  2. Analyst agents
  3. Chair agent
  4. Report UI
  5. Back-check on past dates

Tech stack

AutoGenyfinancepandasAzure OpenAIStreamlit