Execute forex trading signals from Telegram on MetaTrader 5 with Claude
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 12 nodes and runs when an HTTP GET request hits its webhook URL. Along the way it connects Anthropic Chat Model.
How it runs
Trigger: When an HTTP GET request hits its webhook URL.
- Extract Message (Code): runs custom JavaScript code
- Has text? (If): checks a condition and branches into true / false
- Analyze Signal (Basic LLM Chain): sends a prompt to an LLM, with model: Anthropic Chat Model; output parser: Structured Output Parser
- Respond (Empty) (Respond to Webhook): sends the response back to the webhook caller
- Parse LLM Response (Code): runs custom JavaScript code
- Is Signal? (If): checks a condition and branches into true / false
- Send to MT5 Handler (HTTP Request): calls an HTTP API
- Respond (Skipped) (Respond to Webhook): sends the response back to the webhook caller
- Respond (Signal Sent) (Respond to Webhook): sends the response back to the webhook caller
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (8)
- Webhook
n8n-nodes-base.webhook - Code
n8n-nodes-base.code - If
n8n-nodes-base.if - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - Respond to Webhook
n8n-nodes-base.respondToWebhook - HTTP Request
n8n-nodes-base.httpRequest - Anthropic Chat Model
@n8n/n8n-nodes-langchain.lmChatAnthropic - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured
From the author
Telegram Signal Receiver and Processor This n8n template is the missing link between your Telegram trading signal channels and MetaTrader 5. It listens to your Telegram bot, uses AI to detect and parse trading signals in real time, then forwards them directly…