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AI-Powered Stock Analysis with Multi-Model Consensus and Telegram Alerts

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Created by: DevCode Journey || devcodejourney

DevCode Journey

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Last update 12 hours ago

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👥 Who is this for?

This n8n workflow is designed for investors, financial analysts, automated trading system developers, and finance enthusiasts who require daily, comprehensive, data-driven insights into specific stock symbols. It's perfect for users who need to automate the complex process of combining technical indicators, news sentiment, professional analyst ratings, and social media buzz into a single, actionable recommendation. This system provides a 24/7 automated "analyst" for portfolio monitoring.

📊 What this Workflow Does

This n8n workflow executes a daily, multi-faceted analysis of a target stock. It starts by gathering all relevant data (price history, news, ratings, social posts) and processes it through specialized Code nodes to calculate technical indicators (SMA, RSI), determine price predictions (Linear Regression), and perform sentiment analysis on news and social media. Finally, it uses a weighted model to synthesize all data into a single, comprehensive Buy/Sell/Hold recommendation and delivers a detailed report via Telegram.

✨ Key Features

  • Daily Scheduling: Automatically triggers analysis every day at a specified time (e.g., 9:00 AM).
  • Multi-Factor Analysis: Combines four key domains for a holistic view: Technical, Prediction, News Sentiment, Analyst Ratings, and Social Sentiment.
  • Technical Indicator Calculation: Calculates SMA (20, 50, 200), RSI (14-day), and identifies Support/Resistance levels.
  • Price Prediction: Uses Simple Linear Regression to forecast a 7-day price trend and generate an initial recommendation.
  • Sentiment Analysis: Custom Code nodes perform keyword-based sentiment analysis on news articles and social media posts.
  • Composite Recommendation: A weighted model combines all analysis scores (35% Technical, 25% News, 25% Analyst, 15% Social) to generate a final recommendation, confidence score, and summary.
  • Automated Alerting: Delivers a fully formatted, easily readable Markdown report via Telegram.

🛠️ Requirements

  • API Configuration Node: A preliminary node (implied by the expression references) containing:
    • Target stockSymbols (e.g., TSLA, AAPL).
    • telegramChatId for receiving the report.
    • API Keys for data sources (e.g., a Financial Data API for price/news/ratings, a Social Media API).
  • Telegram Credentials: For the Telegram node to send the final message.
  • Financial Data Source Workflow: Requires preceding nodes (not fully visible) to fetch:
    • Historical price data (required for SMA/RSI/Regression).
    • Recent news headlines and summaries.
    • Recent analyst ratings.
    • Social media data (e.g., from Twitter/StockTwits).
  • n8n Instance: Self-hosted or cloud-based n8n installation.

🚀 How to Use

Step-by-Step Setup

1. Configure Scheduling

  • Open the "Daily Stock Check" node.
  • Set the interval rule to the precise hour you want the report to run (e.g., 9:00 AM).

2. Configure Stock Symbol and Telegram

  • In the (implied) "API Configuration" node, set the stockSymbols you wish to track.
  • Set the target telegramChatId where the report will be delivered.
  • Ensure your Telegram credentials are set up in n8n.

3. Verify Data Fetching Nodes

  • Ensure the nodes feeding data into "Analyze Stock Trends," "Analyze News Sentiment," "Process Analyst Ratings," and "Analyze Social Sentiment" are correctly configured to fetch the required historical price, news, ratings, and social data.

4. Adjust Analysis Weights (Advanced)

  • If you wish to change the importance of different factors, edit the WEIGHTS object inside the "Generate Comprehensive Recommendation" Code node.
    • Default Weights: Technical (0.35), News (0.25), Analyst (0.25), Social (0.15).

5. Test the Workflow

  • Manually execute the workflow to ensure all Code nodes process the incoming data correctly and the "Send Telegram Alert" successfully delivers the final, formatted message.

🧩 Workflow Components

The workflow is structured into three main phases: Data Processing, Recommendation Synthesis, and Reporting.

1. Data Processing and Indicator Calculation

Node Name Type Key Functionality
Daily Stock Check Schedule Trigger Initiates the entire workflow daily at the set time.
Analyze Stock Trends Code Calculates Technical Indicators: SMA (20, 50, 200), RSI (14-day), Volume Trend, and Support/Resistance levels.
Predict Future Trends Code Performs Simple Linear Regression on historical prices to determine slope and predict the price 7 days ahead.
Analyze News Sentiment Code Performs keyword-based sentiment analysis on news headlines and summaries to categorize overall sentiment (positive/negative/neutral) and assign a score.
Process Analyst Ratings Code Aggregates analyst recommendations (Buy/Hold/Sell) to calculate consensus rating and average price target.
Analyze Social Sentiment Code Performs keyword-based sentiment analysis on social media data to determine community mood and trending hashtags.

2. Recommendation Synthesis

Node Name Type Description
Combine All Analysis Merge Consolidates the outputs from the four analysis branches (Technical, News, Analyst, Social) into a single data item.
Generate Comprehensive Recommendation Code The core logic. Calculates a weighted composite score (from -100 to 100) based on all four inputs, generating the final STRONG BUY/BUY/HOLD/SELL/STRONG SELL recommendation and a numerical confidence score.

3. Reporting and Alerting

Node Name Type Description
Format Telegram Message Set Constructs the final detailed report message using Markdown formatting, pulling data from all preceding analysis nodes into a clear, structured report.
Send Telegram Alert Telegram Sends the fully formatted analysis report to the pre-configured Telegram chat ID.

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