Technical stock analysis with Telegram, Airtable and a GPT-powered AI agent

Open on n8n.io

$20/month : Unlimited workflows

2500 executions/month

Try free

THE #1 IN WEB SCRAPING

Scrape any website without limits

Try free

HOSTINGER

Early Deal
DISCOUNT 20%

Self-hosted n8n

Unlimited workflows - from $4.99/mo

Try free

#1 hub for scraping, AI & automation

6000+ actors - $5 credits/mo

Try free

Important notice

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

1. Workflow Overview

Video Guide I prepared a detailed guide that demonstrates the complete process of building a trading agent automation using n8n and Telegram, seamlessly integrating various functions for stock anal...

Best for

Crypto Trading automation workflows
AI Chatbot automation workflows
advanced n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.memorybufferwindow, @n8n/n8n-nodes-langchain.toolworkflow, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.telegramtrigger, n8n-nodes-base.telegram, n8n-nodes-base.executeworkflowtrigger, n8n-nodes-base.set, n8n-nodes-base.httprequest

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: Technical stock analysis with Telegram, Airtable and a GPT-powered AI agent
Workflow name: Technical stock analysis with Telegram, Airtable and a GPT-powered AI agent

Video Guide

I prepared a detailed guide that demonstrates the complete process of building a trading agent automation using n8n and Telegram, seamlessly integrating various functions for stock analysis.

Youtube Link

Who is this for?

This workflow is perfect for traders, financial analysts, and developers looking to automate stock analysis interactions via Telegram. It’s especially valuable for those who want to leverage AI tools for technical analysis without needing to write complex code.

What problem does this workflow solve?

Many traders desire real-time analysis of stock data but lack the technical expertise or tools to perform in-depth analysis. This workflow allows users to easily interact with an AI trading agent through Telegram for seamless stock analysis, chart generation, and technical evaluation, all while eliminating the need for manual interventions.

What this workflow does

This workflow utilizes n8n to construct an end-to-end automation process for stock analysis through Telegram communication. The setup involves:

Receiving messages via a Telegram bot.
Processing audio or text messages for trading queries.
Transcribing audio using OpenAI API for interpretation.
Gathering and displaying charts based on user-specified parameters.
Performing technical analysis on generated charts.
Sending back the analyzed results through Telegram.

Setup

Prepare Airtable:
- Create simple table to store tickers.
Prepare Telegram Bot:
- Ensure your Telegram bot is set up correctly and listening for new messages.
Replace Credentials:
- Update all nodes with the correct credentials and API keys for services involved.
Configure API Endpoints:
- Ensure chart service URLs are correctly set to interact with the corresponding APIs properly.
Start Interaction:
- Message your bot to initiate analysis; specify ticker symbols and desired chart styles as required.

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 - Window Buffer Memory

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

Block 2 - Get Chart

Type / Role: @n8n/n8n-nodes-langchain.toolWorkflow - toolWorkflow
Config choices: Version 2

Block 3 - AI Agent

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

Block 4 - Telegram Trigger

Type / Role: n8n-nodes-base.telegramTrigger - telegramTrigger
Config choices: Version 1.1

Block 5 - Send Analysis

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

Block 6 - Workflow Input Trigger

Type / Role: n8n-nodes-base.executeWorkflowTrigger - executeWorkflowTrigger
Config choices: Version 1.1

Block 7 - response

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

Block 8 - Download Chart

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

Block 9 - Get Chart URL

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

Block 10 - Send Chart

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

Block 11 - OpenAI Chat Model

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

Block 12 - Switch

Type / Role: n8n-nodes-base.switch - switch
Config choices: Version 3.2

Block 13 - Transcribe

Type / Role: @n8n/n8n-nodes-langchain.openAi - openAi
Config choices: Version 1.6

Block 14 - Download File

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

Block 15 - Set Text

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

Block 16 - Set Values

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

Block 17 - Technical Analysis

Type / Role: @n8n/n8n-nodes-langchain.openAi - openAi
Config choices: Version 1.8

Block 18 - Webhook

Type / Role: n8n-nodes-base.webhook - webhook
Config choices: Version 2

Block 19 - Set Text1

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

Block 20 - Save Ticker

Type / Role: n8n-nodes-base.airtableTool - airtableTool
Config choices: Version 2.1

Block 21 - Loop Over Items

Type / Role: n8n-nodes-base.splitInBatches - splitInBatches
Config choices: Version 3

Block 22 - Schedule Trigger

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

Block 23 - Run Agent

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

Block 24 - Get tokens

Type / Role: n8n-nodes-base.airtable - airtable
Config choices: Version 2.1

Showing the first 24 of 35 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow	Technical stock analysis with Telegram, Airtable and a GPT-powered AI agent
Complexity	advanced
Nodes	35
Categories	Crypto Trading, AI Chatbot
Author	Mark Shcherbakov
Published	01 Mar 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/3053/3053.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 AI Chatbot workflows

Frequently asked questions

What does Technical stock analysis with Telegram, Airtable and a GPT-powered AI agent 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, AI Chatbot use case.

Mark Shcherbakov

16 workflows

Nodes

@n8n/n8n-nodes-langchain.memorybufferwindow @n8n/n8n-nodes-langchain.toolworkflow @n8n/n8n-nodes-langchain.agent n8n-nodes-base.telegramtrigger n8n-nodes-base.telegram n8n-nodes-base.executeworkflowtrigger n8n-nodes-base.set n8n-nodes-base.httprequest

Complexity

advanced

Published 01 Mar 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/3053/3053.json

Share Your Workflow

Have a useful automation to share? Publish it and help the community.

Submit Your Template How to Submit

Related Workflows

Send portfolio risk reports with Google Sheets, GPT-4o-mini and Gmail

## Quick Overview This workflow receives a portfolio via webhook (uploaded CSV or Google Sheets), calculates allocation and concentration risk metrics, generates an OpenAI HTML risk report, emails it through Gmail, and returns a JSON API response with the report status. ## How it works 1. Receives a POST webhook request containing a portfolio source type plus user name and email. 2. Loads holdings either by decoding an uploaded base64 CSV into rows or by reading rows from Google Sheets. 3. Combines all holdings into a single dataset and attaches user and source metadata. 4. Calculates portfolio totals, position weights, sector and asset-class breakdowns, concentration flags, top gainers/losers, and an overall risk score and label. 5. If the portfolio is valid, sends the computed metrics to OpenAI to generate a client-ready HTML risk narrative. 6. Builds a formatted HTML email that includes the AI analysis plus sector and top-holdings tables, then sends it to the user via Gmail and returns a success JSON response. 7. If the portfolio is empty or invalid, emails a failure notice via Gmail (when an email is provided) and returns a 422 JSON error response. ## Setup 1. Create and connect credentials for Google Sheets OAuth2, OpenAI, and Gmail OAuth2. 2. Configure the webhook endpoint by copying the production URL and sending POST requests to the /portfolio-analyze path. 3. For CSV submissions, include base64 CSV content in body.fileData (or body.csvBase64/body.file) and ensure the columns include ticker, company, sector, quantity, avg_buy_price, current_price, and asset_class. 4. For Google Sheets submissions, update the spreadsheet document ID and sheet (gid) to the holdings table you want to analyze. 5. Ensure the request includes userEmail (body, query, or x-user-email header) so the workflow can deliver the report or validation error message.

View

Analyze commodity portfolio diversification with Sheets, Gemini, and Gmail

## Quick Overview This workflow reads a gold/silver/oil portfolio from Google Sheets, pulls current commodity prices and a recent gold trend from GoldAPI, EIA, and Twelve Data, calculates allocation and HHI concentration risk, generates a Gemini analysis, and emails an HTML diversification report via Gmail. ## How it works 1. Starts manually and loads configuration values, then reads your portfolio holdings from Google Sheets. 2. Fetches real-time gold and silver prices in INR from GoldAPI, retrieves crude oil prices in USD from the EIA API, and converts oil prices to INR. 3. Pulls the last two daily closes for GLD from Twelve Data and compares them to label the gold market trend as UP or DOWN. 4. Aggregates the latest commodity prices and trend data, then calculates portfolio allocation percentages and an HHI concentration score from the Google Sheets holdings. 5. Sends the allocation, HHI score, and gold trend to Google Gemini to generate a structured risk assessment, rebalancing recommendations, trend impact, and a verdict. 6. Parses Gemini’s response into dedicated fields, builds a formatted HTML report with prices, allocations, risks, recommendations, and verdict, and sends it to the configured recipient via Gmail. ## Setup 1. Add API keys for GoldAPI, the U.S. EIA API, and Twelve Data in the configuration step (and confirm the USD-to-INR conversion rate is correct for your needs). 2. Connect your Google Sheets account, then update the spreadsheet and sheet tab to a portfolio table that includes commodity_name and buy_price for gold, silver, and oil. 3. Connect your Google Gemini (PaLM) API credential and ensure the selected model is available in your account. 4. Connect your Gmail OAuth2 credential and set the recipient email address used for the report delivery.

View

Log gold and silver prices and email Groq insights with Google Sheets

## Quick Overview This workflow manually logs daily Gold and Silver prices from GoldAPI into Google Sheets, summarizes historical monthly averages, generates seasonal insights with Groq (LLM), builds QuickChart bar charts, and emails a formatted report via Gmail. ## How it works 1. Starts manually and loads a two-item asset list (Gold/XAU and Silver/XAG) to process in a loop. 2. For each commodity, calls the GoldAPI endpoint to fetch the latest INR price and converts it into a per-10g value with date and month fields. 3. Checks Google Sheets for an existing row for the same commodity and date, keeps the higher of the two prices, and appends or updates the row in the historical sheet. 4. Reads the full historical dataset from Google Sheets and calculates monthly average, minimum, and maximum prices grouped by month and commodity. 5. Formats the monthly averages into a text block and sends it to a Groq-hosted chat model to generate a structured JSON insight summary for gold, silver, and the overall trend. 6. Creates QuickChart URLs for separate Gold and Silver monthly-average bar charts and emails the AI summary and chart images using Gmail. ## Setup 1. Add a GoldAPI key and set it in the HTTP request header (x-access-token) for the GoldAPI call. 2. Connect Google Sheets OAuth credentials and select the target spreadsheet and sheet tab where rows are stored (e.g., the 04_HistoricalData sheet). 3. Ensure the sheet has columns for ID, Date, Month, Price, and Commodity, and that ID is used as the upsert/matching key. 4. Add Groq API credentials for the Groq chat model used to generate the JSON insights. 5. Connect Gmail OAuth credentials and replace the placeholder recipient address ("RECEIVER MAIL ID") and subject as needed.

View

Need Custom Automation?

Get help designing a custom n8n workflow that connects your stack and fits your process.

Technical stock analysis with Telegram, Airtable and a GPT-powered AI agent

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Video Guide

Who is this for?

What problem does this workflow solve?

What this workflow does

Setup

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Window Buffer Memory

Block 2 - Get Chart

Block 3 - AI Agent

Block 4 - Telegram Trigger

Block 5 - Send Analysis

Block 6 - Workflow Input Trigger

Block 7 - response

Block 8 - Download Chart

Block 9 - Get Chart URL

Block 10 - Send Chart

Block 11 - OpenAI Chat Model

Block 12 - Switch

Block 13 - Transcribe

Block 14 - Download File

Block 15 - Set Text

Block 16 - Set Values

Block 17 - Technical Analysis

Block 18 - Webhook

Block 19 - Set Text1

Block 20 - Save Ticker

Block 21 - Loop Over Items

Block 22 - Schedule Trigger

Block 23 - Run Agent

Block 24 - Get tokens

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