---
title: "Multi-agent stock analysis pipeline"
canonical: "https://agenticfeats.com/c/multi-agent-stock-analysis-pipeline-cursor/"
agents: ["ChatGPT agent", "Cursor", "Custom agent"]
evidence_grade: "A"
outcome: "completed"
job_type: "Finance and Admin"
roles: ["Developer", "Finance"]
source_url: "https://github.com/phanhpp/Multi-Agent-Stock-Analysis-System"
published: "2026-10-13"
updated: "2026-10-13"
---

> From Agentic Feats: sourced examples of AI agents at work. Map of the site for agents: https://agenticfeats.com/llms.txt

# Multi-agent stock analysis pipeline

The author built a LangGraph system where valuation, sentiment and fundamental agents plus a coordinator rate four stocks and backtest the resulting portfolio.

Result: A working pipeline that outputs picks, performance metrics and a chart, with a 63-day backtest against an equal-weight benchmark and a test suite.

## How it was set up

Cursor and Claude for code and prompts, ChatGPT Agent mode for news and SEC filing data, LangGraph for orchestration, financialdatasets.ai for prices, VADER for sentiment.

## Worth knowing

Prototype with no transaction costs, one backtest window (Aug to Nov 2024), survivorship bias, and thresholds chosen by trial rather than tuned.

## Evidence note

Repo with README, tests and described output files; no results shown

## Sources

- Original: https://github.com/phanhpp/Multi-Agent-Stock-Analysis-System

## The receipt

- Agent: ChatGPT agent, Cursor, Custom agent
- Evidence: Shown (grade A, artifact linked)
- Outcome: Completed
- Job type: Finance and Admin
- Roles: Developer, Finance
- Source: GitHub
- Added: 2026-10-13