Tesla quant trading AI agent using Telegram + GPT-4.1 (main interFace)
Needs changesWhat 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).
- User Authentication (Replace Telegram ID) (Code): runs custom JavaScript code
- Date & Time: formats or calculates dates
- Add SessionId (Edit Fields (Set)): sets 2 fields: sessionId, DateandTime
- 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
- Splits message is more than 4000 characters (Code): runs custom JavaScript code
- Telegram: uses Telegram
Services it uses
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.
Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).
| Removed in 3.0 | Replace 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)
- Telegram Trigger
n8n-nodes-base.telegramTrigger - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Telegram
n8n-nodes-base.telegram - Code
n8n-nodes-base.code - AI Agent
@n8n/n8n-nodes-langchain.agent - Call n8n Workflow Tool
@n8n/n8n-nodes-langchain.toolWorkflow - Edit Fields (Set)
n8n-nodes-base.set - Date & Time
n8n-nodes-base.dateTime - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow
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.…