# AI-powered stock analysis with Gmail: n8n workflow template

> Started by someone opening a chat with it, and works across Gmail and Supabase vectors. It puts OpenAI and OpenRouter behind a retrieval step, so answers...

Source: https://millionrounds.com/workflow/ai-powered-stock-analysis-with-gmail (Millionrounds; every figure on the page links to its filing or article)

[Automation library](https://millionrounds.com/workflows) · [Research and reporting](https://millionrounds.com/workflows?category=Research+and+reporting#library)

# AI-powered stock analysis with Gmail

Started by someone opening a chat with it, and works across Gmail and Supabase vectors. It puts OpenAI and OpenRouter behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 17 steps: a working afternoon to understand properly.

Medium Calls a model: OpenAI, OpenRouter Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fai-powered-stock-analysis-with-gmail)

**17 steps** Medium: a working afternoon

**0** Branches: places the flow splits

**0** Loops or waits

**2** Services it connects to

## The flow

Starts it 1 Model 11 Logic 1 Service 4

The steps in the order they run, from what starts it.

- 1 **Think** Tool Think *Model*
- 2 **Embeddings OpenAI** Embeddings Open Ai *Model*
- 3 **Reranker Cohere** Reranker Cohere *Model*
- 4 **ranking** Http Request Tool *Service*
- 5 **sectors** Http Request Tool *Service*
- 6 **industries** Http Request Tool *Service*
- 7 **When chat message received** Chat trigger *Starts it*
- 8 **Postgres Chat Memory1** Memory Postgres Chat *Model*
- 9 **Set a reasoning model** Lm Chat Open Router *Model*
- 10 **Recursive Character Text Splitter** Text Splitter Recursive Character Text Splitter *Model*
- 11 **Embeddings OpenAI1** Embeddings Open Ai *Model*
- 12 **Danelfin request** Agent *Model*
- 13 **Supabase Vector Store1** Vector Store Supabase *Model*
- 14 **Default Data Loader** Document Default Data Loader *Model*
- 15 **Supabase Vector Store** Vector Store Supabase *Model*
- 16 **Markdown to HTML** Markdown *Logic*
- 17 **Send report** Gmail *Service*

## How it's built

- **Starts on:** Someone opening a chat with it
- **Steps:** 17
- **Size:** Medium: a working afternoon
- **Connects to:** Gmail, Supabase vectors
- **Model:** OpenAI, OpenRouter
- **Retrieval:** Answers are drawn from documents you supply, not from the model alone

## Questions

What does it need to run?

An n8n account, plus your own Gmail and Supabase vectors accounts, and a key for OpenAI and OpenRouter. You connect your own accounts after importing it; none are included.

What starts it?

It starts on someone opening a chat with it.

Does it use AI?

Yes. It calls OpenAI and OpenRouter. Its answers draw on documents you give it, not on the model alone. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Plan an afternoon. 17 steps is enough that you should read each one before running it.

How do I import it?

Copy the workflow, open a new workflow in n8n and paste. The steps appear on the canvas, ready for your own accounts.

**Before you run it**

Nothing here has been tested by us. It is somebody's working automation, read and described from its own steps. Treat the connections it wants as a list of accounts it will touch, and read the 17 steps before you point it at anything that matters.

## Run it in n8n

- **Create your n8n account** Free to start. n8n is where the workflow runs. [Create an n8n account ↗](https://millionrounds.com/n8n)
- **Download the workflow** Free with a Millionrounds account. [Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fai-powered-stock-analysis-with-gmail)
- **Paste it into n8n** Open a new workflow in n8n and paste. Then connect your own accounts.

Stored with the author's traces removed: canvas notes, instance identifiers, saved credential names and any live document they had left behind.

## Connects to

Each opens the other workflows that use it.

[Gmail](https://millionrounds.com/workflows?service=Gmail#library)[Supabase vectors](https://millionrounds.com/workflows?service=Supabase+vectors#library)

## Workflows like it

Also research and reporting, with the same services where possible, closest in size first.

- [**# ⃣Nostr #damus AI powered reporting + Gmail + Telegram** 17 steps · calls a model · Gmail, Telegram](https://millionrounds.com/workflow/nostr-damus-ai-powered-reporting-gmail-telegram)
- [**Create weekly research brief PDFs with Brave Search** 17 steps · calls a model · Gmail, Google Drive](https://millionrounds.com/workflow/create-weekly-research-brief-pdfs-with-brave-search)
- [**Generate a daily multi-asset market report with TwelveData** 17 steps · calls a model · Gmail, Google Sheets](https://millionrounds.com/workflow/generate-a-daily-multi-asset-market-report-with-twelvedata)
- [**Generate personalized and aggregate survey reports** 17 steps · calls a model · Gmail](https://millionrounds.com/workflow/generate-personalized-and-aggregate-survey-reports)
- [**Hotel guest feedback with OpenAI** 17 steps · calls a model · Gmail, Google Sheets](https://millionrounds.com/workflow/hotel-guest-feedback-with-openai)
- [**Multi-source news aggregator with Gemini and Gmail** 17 steps · calls a model · Gmail, RSS](https://millionrounds.com/workflow/multi-source-news-aggregator-with-gemini-and-gmail)
