Technical stock analysis with Telegram, Airtable and a GPT-powered AI agent
Needs changesWhat this workflow does
This AI workflow has 24 nodes and runs when an HTTP POST request hits its webhook URL (plus 3 other triggers). Along the way it connects Telegram, OpenAI Chat Model, OpenAI and Airtable. It also calls api.chart-img.com over HTTP.
How it runs
Trigger: When an HTTP POST request hits its webhook URL (plus 3 other triggers).
- Set Text (Edit Fields (Set)): sets 1 field: text
- Switch: routes items into 2 branches
- Set Values (Edit Fields (Set)): sets 2 fields: ticker, chart_style
- Get tokens (Airtable): search
- AI Agent: runs an AI agent, with model: OpenAI Chat Model; 2 tools (Get Chart, Save Ticker); memory: Window Buffer Memory
- Download File (Telegram): work with file
- Set Text (Edit Fields (Set)): sets 1 field: text
- Get Chart URL (HTTP Request): calls api.chart-img.com (POST)
- Loop Over Items (Loop Over Items (Split in Batches)): loops over the items in batches
- Send Analysis (Telegram): uses Telegram
…plus 6 more steps. See the full node list below.
Services it uses
HTTP calls to: api.chart-img.com
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 AI Agent (v1.7): 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) AI Agent (v1.7) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (16)
- Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - Call n8n Workflow Tool
@n8n/n8n-nodes-langchain.toolWorkflow - AI Agent
@n8n/n8n-nodes-langchain.agent - Telegram Trigger
n8n-nodes-base.telegramTrigger - Telegram
n8n-nodes-base.telegram - Execute Workflow Trigger
n8n-nodes-base.executeWorkflowTrigger - Edit Fields (Set)
n8n-nodes-base.set - HTTP Request
n8n-nodes-base.httpRequest - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Switch
n8n-nodes-base.switch - OpenAI
@n8n/n8n-nodes-langchain.openAi - Webhook
n8n-nodes-base.webhook - Airtable Tool
n8n-nodes-base.airtableTool - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches - Schedule Trigger
n8n-nodes-base.scheduleTrigger - Airtable
n8n-nodes-base.airtable
From the author
Video Guide I prepared a detailed guide that demonstrates the complete process of building a trading agent automation using n8n and Telegram, seamlessly integrating various functions for stock analysis. Youtube Link Who is this for? This workflow is perfect…