Generate stock market insights with technical analysis, AI, and Telegram publishing

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2/3/2026

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📈 AI Stock Analytics & BCS "Profit" Social Network Publishing Workflow

This workflow automatically generates stock market insights for selected tickers (e.g. GAZP, SBER, LKOH) using historical data, technical indicators, and an AI model. The results are then sent to Telegram for quick moderation and publishing.

🔑 What this workflow does

Runs twice a day on a schedule with a predefined list of tickers.
Fetches historical market data from a broker API.
Calculates key technical indicators (RSI, EMA/SMA, MACD, Bollinger Bands, ADX).
Generates an investment post (title + summary) using an LLM.
Stores results in a PostgreSQL database.
Sends a draft post to Telegram with inline buttons “Publish” and “Retry”.
Handles Telegram actions: publishes the post to the final channel or re-runs the generation process.

📌 Key features

Multi-ticker support in a single run.
Automatic error handling (e.g. missing data or invalid AI JSON output).
Human-in-the-loop moderation through Telegram before publishing.
PostgreSQL integration for history and analytics storage.
Flexible structure: easy to extend with new tickers, indicators, or publishing channels.

🛠️ Nodes used

Trigger: Schedule (twice daily) + Telegram Trigger (button callbacks).
Data: HTTP Request (broker API), Function (technical analysis calculations).
AI: OpenAI / OpenRouter with structured JSON output.
Storage: PostgreSQL (analytics history).
Messaging: Telegram (drafts and publishing).

🚀 Who is this for

Fintech startups looking to automate market content.
Investment bloggers posting daily stock analysis.
Analysts experimenting with trading strategies on real market data.

n8n Workflow: Generate Stock Market Insights with Technical Analysis, AI, and Telegram Publishing

This n8n workflow automates the process of fetching stock data, performing technical analysis, generating AI-powered insights, and publishing these insights to a Telegram channel. It can be triggered manually via Telegram commands or on a scheduled basis.

What it does

This workflow streamlines the creation and distribution of stock market analysis by:

Triggering:
- Manually via Telegram: Listens for specific commands (e.g., /analyse) in a Telegram chat.
- On a Schedule: Can be configured to run at predefined intervals (e.g., daily, hourly).
Processing Telegram Commands: If triggered by Telegram, it parses the incoming message to extract the stock ticker symbol.
Fetching Stock Data: Makes an HTTP request to an external API to retrieve historical stock data for the specified ticker.
Performing Technical Analysis: Executes a sub-workflow to apply technical analysis indicators to the fetched stock data.
Generating AI Insights: Uses an AI agent (likely an LLM via OpenRouter) to generate human-readable insights based on the technical analysis results. It uses a structured output parser to ensure the AI output is in a usable format.
Storing Data: Saves the raw stock data or analysis results into a PostgreSQL database.
Publishing to Telegram: Sends the generated AI insights and any relevant data to a designated Telegram chat or channel.
Hashing Data (Optional/Utility): Includes a Crypto node, potentially for hashing data before storage or for API authentication purposes (though its specific use isn't directly evident in the main flow).
Conditional Logic: Uses If and Switch nodes to control flow based on conditions (e.g., successful API calls, specific Telegram commands).
Data Transformation: Employs Edit Fields (Set) and Code nodes for manipulating and preparing data at various stages of the workflow.

Prerequisites/Requirements

To use this workflow, you will need:

n8n Instance: A running n8n instance.
Telegram Bot Token: A Telegram Bot Token and the Chat ID of the channel/group where messages will be sent and received.
External Stock Data API Key: Access to a stock data API (e.g., Alpha Vantage, Yahoo Finance API, etc.) that provides historical stock data. The HTTP Request node will need to be configured with the appropriate endpoint and authentication.
OpenRouter API Key: An API key for OpenRouter to access various AI language models.
PostgreSQL Database: Access to a PostgreSQL database for storing stock data and analysis results. You will need the connection details (host, port, database, user, password).
Sub-workflow for Technical Analysis: A separate n8n sub-workflow configured for performing technical analysis, which this main workflow will call.

Setup/Usage

Import the Workflow: Import the provided JSON into your n8n instance.
Configure Credentials:
- Set up a Telegram API credential using your Bot Token.
- Set up an OpenRouter API credential with your API key.
- Set up a PostgreSQL credential with your database connection details.
- If the stock data API requires authentication, configure an HTTP Request credential or embed the API key directly in the HTTP Request node.
Configure Nodes:
- Telegram Trigger (ID: 50): Ensure it's listening for the desired commands (e.g., /analyse).
- HTTP Request (ID: 19): Update the URL and any headers/parameters to match your chosen stock data API.
- Execute Sub-workflow (ID: 111): Specify the name or ID of your technical analysis sub-workflow.
- AI Agent (ID: 1119) & OpenRouter Chat Model (ID: 1281): Configure the AI agent with the appropriate prompt for generating insights and ensure the OpenRouter model is selected.
- Postgres (ID: 30): Configure the table name and columns for storing your data.
- Telegram (ID: 49): Set the Chat ID where the insights should be published.
- Schedule Trigger (ID: 839): If you want scheduled runs, configure the desired interval (e.g., every day at 9 AM).
Activate the Workflow: Once configured, activate the workflow to start processing Telegram commands or scheduled runs.

This workflow provides a robust framework for automating stock market analysis and communication, leveraging external APIs, AI, and database storage.

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