Ingests market data via MCP to generate structured short-term trade ideas with confidence scores and execution notes.
Verified 2026-07-07
Data-Analyst
What it does
You get clean, structured short-term trade ideas complete with confidence scores and execution notes, automatically generated from real-time market data to help you spot momentum and catalysts quickly. The process filters out low-conviction setups so your downstream automation systems receive only high-quality JSON-ready insights for immediate action.
How it works
When it runs
Triggered by an event · Manual · on demand
How hands-off
Assists you, you do the final step
Setup
A bigger project · a few focused days
Works with
n8n, OpenAI API, HTTP Request, Google Sheets, Slack
Tools that fit
Services
n8n : Workflow orchestration and AI node execution
Google Sheets : Storing and normalizing asset data
OpenAI API : Generating structured trade thesis and reasoning
api
HTTP Request : Ingesting MCP market context data
Watch out for
⚠ Market data APIs often have strict rate limits so you must implement retry logic with exponential backoff to prevent workflow failures during high traffic.
⚠ LLMs can hallucinate financial figures so always validate the generated confidence scores against hard numerical thresholds before storing them in Sheets.
⚠ Slack notifications may fail if the webhook URL is incorrect or expires so add error handling that logs failed sends to a dedicated error sheet for manual review.
This is what I do. I design and build AI agents like this one, and keep them running. If you want it set up for your team instead of doing it yourself, get in touch.