Templates / Stock technical analysis with Google Gemini

Stock technical analysis with Google Gemini

Needs changes

by Udit Rawat ✓ · 4,886 views · created 2025-01-16 · Crypto Trading, Multimodal AI

Needs changes. This template uses 2 thing(s) that n8n 3.0 removes: AI Agent v1 (old agent modes), SerpApi (Google Search). 2 breaking item(s) found. Static check, last run 2026-10-19.

What 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.

  1. Edit Fields (Edit Fields (Set)): sets or maps fields
  2. TradingView Chart (HTTP Request): calls an HTTP API
  3. AI Agent: runs an AI agent, with model: Google Gemini Chat Model; 1 tool (SerpAPI); memory: Window Buffer Memory

Services it uses

Google Gemini Chat ModelSerpApi (Google Search)

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 3.0Replace 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)

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,…

Excerpt from Udit Rawat's description on n8n.io.

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

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