Stock technical analysis with Google Gemini

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

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 p...

Best for

Crypto Trading automation workflows
Multimodal AI automation workflows
intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.httprequest, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatgooglegemini, @n8n/n8n-nodes-langchain.memorybufferwindow, @n8n/n8n-nodes-langchain.chattrigger, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.toolserpapi

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Udit Rawat.

Original n8n.io source

1.1 Workflow description

Title: Stock technical analysis with Google Gemini
Workflow name: Stock technical analysis with Google Gemini

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

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - TradingView Chart

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 2 - AI Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.7

Block 3 - Google Gemini Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices: Version 1

Block 4 - Window Buffer Memory

Type / Role: @n8n/n8n-nodes-langchain.memoryBufferWindow - memoryBufferWindow
Config choices: Version 1.3

Block 5 - When chat message received

Type / Role: @n8n/n8n-nodes-langchain.chatTrigger - chatTrigger
Config choices: Version 1.1

Block 6 - Edit Fields

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 7 - SerpAPI

Type / Role: @n8n/n8n-nodes-langchain.toolSerpApi - toolSerpApi
Config choices: Version 1

3. Summary Table

Workflow	Stock technical analysis with Google Gemini
Complexity	intermediate
Nodes	7
Categories	Crypto Trading, Multimodal AI
Author	Udit Rawat
Published	16 Jan 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/2735/2735.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Crypto Trading workflows Multimodal AI workflows

Frequently asked questions

What does Stock technical analysis with Google Gemini do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Crypto Trading, Multimodal AI use case.

Udit Rawat

7 workflows

Nodes

n8n-nodes-base.httprequest @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.lmchatgooglegemini @n8n/n8n-nodes-langchain.memorybufferwindow @n8n/n8n-nodes-langchain.chattrigger n8n-nodes-base.set @n8n/n8n-nodes-langchain.toolserpapi

Complexity

intermediate

Published 16 Jan 2025

Likes 0

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Install path: /data/workflows/2735/2735.json

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Stock technical analysis with Google Gemini

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - TradingView Chart

Block 2 - AI Agent

Block 3 - Google Gemini Chat Model

Block 4 - Window Buffer Memory

Block 5 - When chat message received

Block 6 - Edit Fields

Block 7 - SerpAPI

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions