Send daily XAUUSD macro signals with TwelveData, GDELT, Groq, OpenAI and Telegram
Needs changesNeeds changes. This template uses 1 thing(s) that n8n 3.0 removes: Cron. 1 breaking item(s) found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 18 nodes and runs on a schedule (legacy Cron node) (plus 1 other trigger). Along the way it connects Telegram and OpenAI Chat Model. It also calls api.gdeltproject.org, stooq.com and api.twelvedata.com over HTTP.
How it runs
Trigger: On a schedule (legacy Cron node) (plus 1 other trigger).
- GDELT - Web News (HTTP Request): calls api.gdeltproject.org
- RSS - CNBC Top News (RSS Read): reads an RSS feed
- RSS - Yahoo Finance US (RSS Read): reads an RSS feed
- Macro - DXY (Stooq CSV) (HTTP Request): calls stooq.com
- Macro - US10Y (Stooq CSV) (HTTP Request): calls stooq.com
- Get XAUUSD Price (TwelveData) (HTTP Request): calls api.twelvedata.com
- Send a text message (Telegram): uses Telegram
- Prep GDELT (Code): runs custom JavaScript code
- Merge: merges the data from its input branches
- Parse DXY (Code): runs custom JavaScript code
…plus 5 more steps. See the full node list below.
Services it uses
HTTP calls to: api.gdeltproject.org, stooq.com, api.twelvedata.com
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- Cron in Cron (every day 12h): replace with Schedule Trigger.
| Removed in 3.0 | Replace with |
|---|---|
| Cron Cron (every day 12h) | Schedule Trigger |
Nodes used (9)
- HTTP Request
n8n-nodes-base.httpRequest - Code
n8n-nodes-base.code - RSS Read
n8n-nodes-base.rssFeedRead - AI Agent
@n8n/n8n-nodes-langchain.agent - Telegram
n8n-nodes-base.telegram - Merge
n8n-nodes-base.merge - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Cron
n8n-nodes-base.cron - Error Trigger
n8n-nodes-base.errorTrigger
From the author
Quick overview This workflow runs daily to fetch XAU/USD price, DXY, and US 10Y yield data, pulls related US financial news from GDELT and RSS feeds, uses Groq-hosted LLM analysis to generate a BUY/SELL/WAIT bias with probabilities, and sends the brief to…