---
title: "Adyen equity research in Cowork"
canonical: "https://agenticfeats.com/c/adyen-equity-research-in-cowork-claude-cowork/"
agents: ["Claude Cowork"]
evidence_grade: "A"
outcome: "completed"
job_type: "Research"
roles: ["Finance"]
source_url: "https://investwithai.substack.com/p/9-steps-in-claude-cowork-to-automate"
source_date: "2026-04-15"
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

# Adyen equity research in Cowork

Claude Cowork pulled Adyen filings and data, built an Excel model, ran a DCF, wrote an investment memo, and set up a weekly update task.

Result: A full equity research workflow on Adyen, from data pull to investment memo, was done in under 15 minutes using prompts only.

## How it was set up

Claude Cowork with access to a local research folder, yfinance for financial data, and a prompt per step. Paid data connectors or an MCP server are optional.

## Worth knowing

Fetching earnings transcripts was slow and unreliable on the free route. The author suggests a paid data provider.

## Prompt

```text
You have access to my [TICKER] research folder. Download the last 5 annual reports and 4 recent reports into filings/, find 4 recent earnings call transcripts, and pull 5 years of prices and statements via yfinance into model/ as CSVs. Report any missing files. Do not analyse yet.
```

## Evidence note

Author states under 15 minutes; screenshots of folders and Excel output

## Sources

- Original: https://investwithai.substack.com/p/9-steps-in-claude-cowork-to-automate

## The receipt

- Agent: Claude Cowork
- Evidence: Shown (grade A, artifact linked)
- Outcome: Completed
- Job type: Research
- Roles: Finance
- Source: Blog
- Published: 2026-04-15
- Added: 2026-10-13