Stock Technical Analysis with Google Gemini

Go to Workflow
4,741 views
Built by Udit Rawat Udit Rawat
Created on June 09, 2026

Description

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, price movements, candlestick patterns, and technical indicators to support informed trading decisions.

How It Works

Integration with TradingView:** The workflow uses the Chart-Img.com API to fetch detailed financial charts for the specified stock or cryptocurrency.
AI-Powered Analysis:** The workflow employs advanced AI models, including Google's Gemini Chat Model, to analyze the retrieved charts for candlestick patterns, support/resistance levels, and technical indicators like MACD and RSI.
News and Sentiment Analysis:** By integrating with SerpAPI, the workflow gathers relevant news about the stock or cryptocurrency to evaluate its potential impact on market movements.
Comprehensive Insights:** It provides detailed trading strategies, including buy/sell recommendations, stop-loss levels, and risk-reward evaluations.
Continuous Memory:** The AI agent uses buffer memory to retain context for enhanced analysis and continuity.

Use Case
This workflow is perfect for traders and analysts who need reliable and AI-powered market analysis to make informed trading decisions efficiently.

Tutorial

Obtain API keys for Chart-Img.com and SerpAPI.
Configure the workflow in your n8n instance by inputting the required API keys and connecting the nodes.
Trigger the workflow by providing the stock or cryptocurrency symbol, and let the agent do the rest!

https://youtu.be/9fR4qNMT5LM

Nodes Used (5)

AI Agent
@n8n/n8n-nodes-langchain.agent
Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini
HTTP Request
n8n-nodes-base.httpRequest
SerpApi (Google Search)
@n8n/n8n-nodes-langchain.toolSerpApi
Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow