Analyze stock charts with GPT-4 Vision and send results via Telegram

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Important notice

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

1. Workflow Overview

n8n Workflow: AI Powered Stock Chart Analysis Bot for Telegram This is a powerful n8n automation workflow that integrates a Telegram bot with OpenAI's multimodal large language model (GPT 4 Vision)...

Best for

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

Tools used

n8n-nodes-base.telegramtrigger, @n8n/n8n-nodes-langchain.chainllm, n8n-nodes-base.editimage, n8n-nodes-base.telegram, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.outputparserstructured

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: Analyze stock charts with GPT-4 Vision and send results via Telegram
Workflow name: Analyze stock charts with GPT-4 Vision and send results via Telegram

n8n Workflow: AI-Powered Stock Chart Analysis Bot for Telegram

This is a powerful n8n automation workflow that integrates a Telegram bot with OpenAI's multimodal large language model (GPT-4 Vision) to provide users with real-time stock chart analysis.

Workflow Breakdown

Receive Image: The workflow is initiated by a Telegram Trigger. It activates whenever a user sends an image (e.g., a stock's candlestick chart) to a designated Telegram chat, automatically downloading the file.
Image Pre-processing: To optimize the AI's performance and efficiency, the Edit Image node resizes the incoming image to a standard 512x512 pixel format.
AI Vision Analysis: The processed image is then passed to a LangChain Chain, which utilizes the OpenAI GPT-4 Vision model. A sophisticated system prompt instructs the AI to act as a professional stock analyst.
Intelligent Interpretation: The AI analyzes the image to identify the stock's name, price trend (uptrend, downtrend, or sideways), key support/resistance levels, and volume changes. It then generates a comprehensive analysis report combining technical indicators and market sentiment.
Structured Output: To ensure reliability and consistency, the AI's output is parsed into a specific JSON format. This structure includes a search_word (for the industry/sector) and the main content (the analysis text).
Send Response: Finally, the workflow extracts the content field from the JSON output and uses the Telegram node to send this professional analysis back to the user as a text message in the same chat.

Key Features

User-Friendly: Users simply send an image to get an analysis, requiring no complex commands.
Instant & Efficient: The entire analysis and response process is fully automated and completed within moments.
Professional-Grade Analysis: Leverages the advanced image recognition and reasoning capabilities of GPT-4 Vision to deliver insights comparable to those of a human analyst.
Reliable & Consistent: The use of structured output ensures that the format of the response is always consistent and easy to read or process further.

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 - Telegram Trigger

Type / Role: n8n-nodes-base.telegramTrigger - telegramTrigger
Config choices: Version 1.2

Block 2 - Basic LLM Chain

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

Block 3 - Edit Image

Type / Role: n8n-nodes-base.editImage - editImage
Config choices: Version 1

Block 4 - Telegram

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1.2

Block 5 - OpenAI Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.2

Block 6 - Structured Output Parser

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.2

3. Summary Table

Workflow	Analyze stock charts with GPT-4 Vision and send results via Telegram
Complexity	intermediate
Nodes	6
Categories	Crypto Trading, Multimodal AI
Author	Fenngbrotalk
Published	12 Jun 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/4892/4892.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 Analyze stock charts with GPT-4 Vision and send results via Telegram 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.

Fenngbrotalk

1 workflow

Nodes

n8n-nodes-base.telegramtrigger @n8n/n8n-nodes-langchain.chainllm n8n-nodes-base.editimage n8n-nodes-base.telegram @n8n/n8n-nodes-langchain.lmchatopenai @n8n/n8n-nodes-langchain.outputparserstructured

Complexity

intermediate

Published 12 Jun 2025

Likes 0

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Install path: /data/workflows/4892/4892.json

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Analyze stock charts with GPT-4 Vision and send results via Telegram

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

n8n Workflow: AI-Powered Stock Chart Analysis Bot for Telegram

Workflow Breakdown

Key Features

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Telegram Trigger

Block 2 - Basic LLM Chain

Block 3 - Edit Image

Block 4 - Telegram

Block 5 - OpenAI Chat Model

Block 6 - Structured Output Parser

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