Stock technical analysis with Google Gemini
Needs changesWhat this workflow does
This AI workflow has 7 nodes and runs when a chat message arrives. Along the way it connects Google Gemini Chat Model and SerpApi (Google Search).
How it runs
Trigger: When a chat message arrives.
- Edit Fields (Edit Fields (Set)): sets or maps fields
- TradingView Chart (HTTP Request): calls an HTTP API
- AI Agent: runs an AI agent, with model: Google Gemini Chat Model; 1 tool (SerpAPI); memory: Window Buffer Memory
Services it uses
Before you upgrade to n8n 3.0
2 things in this workflow are removed in n8n 3.0. Fix them 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.
- SerpApi (Google Search) in SerpAPI: no direct replacement: call the SerpApi REST API with an HTTP Request tool, or use a verified community node.
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. |
| SerpApi (Google Search) SerpAPI | No direct replacement: call the SerpApi REST API with an HTTP Request tool, or use a verified community node |
Nodes used (7)
- HTTP Request
n8n-nodes-base.httpRequest - AI Agent
@n8n/n8n-nodes-langchain.agent - Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - Chat Trigger
@n8n/n8n-nodes-langchain.chatTrigger - Edit Fields (Set)
n8n-nodes-base.set - SerpApi (Google Search)
@n8n/n8n-nodes-langchain.toolSerpApi
From the author
The purpose of this workflow, "Sell: Stock Vision," is to create an AI-powered technical analysis agent capable of analyzing financial charts for equity stocks and cryptocurrencies. This workflow provides users with actionable insights into market trends,…