Templates / Tesla quant trading AI agent using Telegram + GPT-4.1 (main interFace)

Tesla quant trading AI agent using Telegram + GPT-4.1 (main interFace)

Needs changes

by Don Jayamaha Jr ✓ · 7,728 views · created 2025-05-16 · Crypto Trading, AI Chatbot

Needs changes. This template uses 1 thing(s) that n8n 3.0 removes: AI Agent v1 (old agent modes). 1 breaking item(s) found. Static check, last run 2026-10-19.

What this workflow does

This AI workflow has 11 nodes and runs on Telegram events (message). Along the way it connects Telegram and OpenAI Chat Model.

How it runs

Trigger: On Telegram events (message).

  1. User Authentication (Replace Telegram ID) (Code): runs custom JavaScript code
  2. Date & Time: formats or calculates dates
  3. Add SessionId (Edit Fields (Set)): sets 2 fields: sessionId, DateandTime
  4. Tesla Quant Trading AI Agent (AI Agent): runs an AI agent, with model: OpenAI Chat Model; 2 tools (Tesla News and Sentiment Analyst Tool, Tesla Financial Market Data Analyst Tool); memory: Simple Memory
  5. Splits message is more than 4000 characters (Code): runs custom JavaScript code
  6. Telegram: uses Telegram

Services it uses

TelegramOpenAI Chat Model

Before you upgrade to n8n 3.0

1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:

  • AI Agent v1 (old agent modes) in Tesla Quant Trading AI Agent (v1.8): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
Removed in 3.0Replace with
AI Agent v1 (old agent modes)
Tesla Quant Trading AI Agent (v1.8)
Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.

Nodes used (9)

From the author

📈 Get daily and on-demand Tesla (TSLA) trading signals via Telegram—powered by GPT-4.1 and real-time market data. This is the central AI supervisor that orchestrates seven sub-agents for technical analysis, price pattern recognition, and news sentiment.…

Excerpt from Don Jayamaha Jr's description on n8n.io.

View the original on n8n.io → Check your own copy

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