HumationHuman + Automation
Back to Catalog

Smart stock trading recommendations with GPT-4, TwelveData & NewsAPI analysis

Jitesh DugarJitesh Dugar
3226 views
2/3/2026
FreeCurrencyAPIexchange rateautomationcurrencyAPI
Official Page

Smart Stock Trading Recommendations with GPT-4, TwelveData & NewsAPI

What It Does

This template automates stock analysis by combining technical analysis, news sentiment, and real-time market data to generate actionable trading recommendations with confidence scores, risk management parameters, and entry/exit levels.

Why It's Useful

  • Data-Driven Decisions: Eliminates emotional trading by synthesizing multiple data sources
  • Time-Saving: Analyzes a stock in seconds instead of hours of manual research
  • Risk Management: Automatically calculates stop losses and risk/reward ratios
  • Real-Time Context: Combines historical trends with breaking news and latest sentiment

How It Works

  1. Technical Analysis (TwelveData)

    • Fetches 4-hour, 1-day, and 1-week price trends
    • Calculates moving averages and identifies support/resistance levels

  2. News Sentiment (NewsAPI + GPT-4)

    • Pulls recent news articles about the stock
    • Uses AI to score sentiment impact on price (-1.0 to +1.0)
    • Distinguishes between "bad news" and "sell pressure"

  3. Live Market Intelligence (Perplexity API)

    • Checks for real-time catalysts (earnings, Fed announcements, rumors)
    • Catches breaking news that historical data might miss

  4. Visual Confirmation (Chart-Img API)

    • Generates 1-week chart visualization for quick pattern recognition

  5. AI Decision Engine (GPT-4)

    • Synthesizes all signals using quantitative decision rules
    • Outputs: BUY/SELL/HOLD verdict with confidence level, entry zone, stop loss, and profit target

Trade Setup Output

Each recommendation includes:

  • Verdict: BUY, SELL, or HOLD (with confidence score)
  • Entry Zone: Optimal price to enter
  • Stop Loss: Risk protection level
  • Target: Profit objective
  • Risk/Reward Ratio: Trade viability metric

Required API Keys

  • TwelveData (stock prices)
  • NewsAPI (news articles)
  • OpenAI (GPT-4 analysis)
  • Perplexity (live sentiment)
  • Chart-Img (optional - for chart visualization)

Smart Stock Trading Recommendations with GPT-4, TwelveData & NewsAPI Analysis

This n8n workflow automates the process of generating smart stock trading recommendations by leveraging real-time financial data and AI-driven news analysis. It integrates with TwelveData for stock prices, NewsAPI for relevant news articles, and OpenAI's GPT-4 for sophisticated analysis and recommendation generation, all triggered by a chat message.

What it does

This workflow streamlines the process of getting stock trading recommendations by:

  1. Receiving a Chat Message: It starts by listening for an incoming chat message, which likely contains a stock ticker symbol or a request for a recommendation.
  2. Fetching Stock Price Data: It makes an HTTP request to the TwelveData API to retrieve the current stock price and related financial data for the specified ticker.
  3. Fetching News Articles: Simultaneously, it queries the NewsAPI to gather recent news articles related to the specified stock.
  4. Aggregating Data: It combines the stock price data and the news articles into a single, structured input for the AI agent.
  5. AI-Powered Analysis and Recommendation:
    • It uses an OpenAI Chat Model (likely GPT-4) to process the aggregated financial data and news.
    • An AI Agent, equipped with a "Think" tool, analyzes the information to identify trends, sentiment, and potential trading opportunities.
    • It generates a comprehensive stock trading recommendation based on its analysis.
  6. Responding to Chat: Finally, it sends the generated trading recommendation back to the chat where the initial request originated.

Prerequisites/Requirements

To use this workflow, you will need accounts and API keys for the following services:

  • n8n: Your n8n instance (self-hosted or cloud).
  • OpenAI: An OpenAI API key with access to GPT-4 or a similar chat model.
  • TwelveData: An API key for TwelveData to fetch real-time stock data.
  • NewsAPI: An API key for NewsAPI to retrieve relevant news articles.

Setup/Usage

  1. Import the workflow: Download the provided JSON and import it into your n8n instance.
  2. Configure Credentials:
    • Set up your OpenAI API Key as an n8n credential.
    • Set up your TwelveData API Key as an n8n credential for the "HTTP Request" node.
    • Set up your NewsAPI API Key as an n8n credential for any NewsAPI HTTP requests (if not explicitly shown, it would be part of the HTTP Request node's URL or headers).
  3. Activate the Workflow: Enable the workflow in n8n.
  4. Trigger the Workflow: Send a chat message to the configured chat trigger (e.g., Slack, Telegram, Discord, etc., depending on how the "When chat message received" node is configured) with a stock ticker symbol to receive a trading recommendation.

Related Templates

Two-way property repair management system with Google Sheets & Drive

This workflow automates the repair request process between tenants and building managers, keeping all updates organized in a single spreadsheet. It is composed of two coordinated workflows, as two separate triggers are required — one for new repair submissions and another for repair updates. A Unique Unit ID that corresponds to individual units is attributed to each request, and timestamps are used to coordinate repair updates with specific requests. General use cases include: Property managers who manage multiple buildings or units. Building owners looking to centralize tenant repair communication. Automation builders who want to learn multi-trigger workflow design in n8n. --- ⚙️ How It Works Workflow 1 – New Repair Requests Behind the Scenes: A tenant fills out a Google Form (“Repair Request Form”), which automatically adds a new row to a linked Google Sheet. Steps: Trigger: Google Sheets rowAdded – runs when a new form entry appears. Extract & Format: Collects all relevant form data (address, unit, urgency, contacts). Generate Unit ID: Creates a standardized identifier (e.g., BUILDING-UNIT) for tracking. Email Notification: Sends the building manager a formatted email summarizing the repair details and including a link to a Repair Update Form (which activates Workflow 2). --- Workflow 2 – Repair Updates Behind the Scenes:\ Triggered when the building manager submits a follow-up form (“Repair Update Form”). Steps: Lookup by UUID: Uses the Unit ID from Workflow 1 to find the existing row in the Google Sheet. Conditional Logic: If photos are uploaded: Saves each image to a Google Drive folder, renames files consistently, and adds URLs to the sheet. If no photos: Skips the upload step and processes textual updates only. Merge & Update: Combines new data with existing repair info in the same spreadsheet row — enabling a full repair history in one place. --- 🧩 Requirements Google Account (for Forms, Sheets, and Drive) Gmail/email node connected for sending notifications n8n credentials configured for Google API access --- ⚡ Setup Instructions (see more detail in workflow) Import both workflows into n8n, then copy one into a second workflow. Change manual trigger in workflow 2 to a n8n Form node. Connect Google credentials to all nodes. Update spreadsheet and folder IDs in the corresponding nodes. Customize email text, sender name, and form links for your organization. Test each workflow with a sample repair request and a repair update submission. --- 🛠️ Customization Ideas Add Slack or Telegram notifications for urgent repairs. Auto-create folders per building or unit for photo uploads. Generate monthly repair summaries using Google Sheets triggers. Add an AI node to create summaries/extract relevant repair data from repair request that include long submissions.

Matt@VeraisonLabsBy Matt@VeraisonLabs
208

Dynamic Hubspot lead routing with GPT-4 and Airtable sales team distribution

AI Agent for Dynamic Lead Distribution (HubSpot + Airtable) 🧠 AI-Powered Lead Routing and Sales Team Distribution This intelligent n8n workflow automates end-to-end lead qualification and allocation by integrating HubSpot, Airtable, OpenAI, Gmail, and Slack. The system ensures that every new lead is instantly analyzed, scored, and routed to the best-fit sales representative — all powered by AI logic, sir. --- 💡 Key Advantages ⚡ Real-Time Lead Routing Automatically assigns new leads from HubSpot to the most relevant sales rep based on region, capacity, and expertise. 🧠 AI Qualification Engine An OpenAI-powered Agent evaluates the lead’s industry, region, and needs to generate a persona summary and routing rationale. 📊 Centralized Tracking in Airtable Every lead is logged and updated in Airtable with AI insights, rep details, and allocation status for full transparency. 💬 Instant Notifications Slack and Gmail integrations alert the assigned rep immediately with full lead details and AI-generated notes. 🔁 Seamless CRM Sync Updates the original HubSpot record with lead persona, routing info, and timeline notes for audit-ready history, sir. --- ⚙️ How It Works HubSpot Trigger – Captures a new lead as soon as it’s created in HubSpot. Fetch Contact Data – Retrieves all relevant fields like name, company, and industry. Clean & Format Data – A Code node standardizes and structures the data for consistency. Airtable Record Creation – Logs the lead data into the “Leads” table for centralized tracking. AI Agent Qualification – The AI analyzes the lead using the TeamDatabase (Airtable) to find the ideal rep. Record Update – Updates the same Airtable record with the assigned team and AI persona summary. Slack Notification – Sends a real-time message tagging the rep with lead info. Gmail Notification – Sends a personalized handoff email with context and follow-up actions. HubSpot Sync – Updates the original contact in HubSpot with the assignment details and AI rationale, sir. --- 🛠️ Setup Steps Trigger Node: HubSpot → Detect new leads. HubSpot Node: Retrieve complete lead details. Code Node: Clean and normalize data. Airtable Node: Log lead info in the “Leads” table. AI Agent Node: Process lead and match with sales team. Slack Node: Notify the designated representative. Gmail Node: Email the rep with details. HubSpot Node: Update CRM with AI summary and allocation status, sir. --- 🔐 Credentials Required HubSpot OAuth2 API – To fetch and update leads. Airtable Personal Access Token – To store and update lead data. OpenAI API – To power the AI qualification and matching logic. Slack OAuth2 – For sending team notifications. Gmail OAuth2 – For automatic email alerts to assigned reps, sir. --- 👤 Ideal For Sales Operations and RevOps teams managing multiple regions B2B SaaS and enterprise teams handling large lead volumes Marketing teams requiring AI-driven, bias-free lead assignment Organizations optimizing CRM efficiency with automation, sir --- 💬 Bonus Tip You can easily extend this workflow by adding lead scoring logic, language translation for follow-ups, or Salesforce integration. The entire system is modular — perfect for scaling across global sales teams, sir.

MANISH KUMARBy MANISH KUMAR
113

Send WooCommerce cross-sell offers to customers via WhatsApp using Rapiwa API

Who Is This For? This n8n workflow enables automated cross-selling by identifying each WooCommerce customer's most frequently purchased product, finding a related product to recommend, and sending a personalized WhatsApp message using the Rapiwa API. It also verifies whether the user's number is WhatsApp-enabled before sending, and logs both successful and unsuccessful attempts to Google Sheets for tracking. What This Workflow Does Retrieves all paying customers from your WooCommerce store Identifies each customer's most purchased product Finds the latest product in the same category as their most purchased item Cleans and verifies customer phone numbers for WhatsApp compatibility Sends personalized WhatsApp messages with product recommendations Logs all activities to Google Sheets for tracking and analysis Handles both verified and unverified numbers appropriately Key Features Customer Segmentation: Automatically identifies paying customers from your WooCommerce store Product Analysis: Determines each customer's most purchased product Smart Recommendations: Finds the latest products in the same category as customer favorites WhatsApp Integration: Uses Rapiwa API for message delivery Phone Number Validation: Verifies WhatsApp numbers before sending messages Dual Logging System: Tracks both successful and failed message attempts in Google Sheets Rate Limiting: Uses batching and wait nodes to prevent API overload Personalized Messaging: Includes customer name and product details in messages Requirements WooCommerce store with API access Rapiwa account with API access for WhatsApp verification and messaging Google account with Sheets access Customer phone numbers in WooCommerce (stored in billing.phone field) How to Use — Step-by-Step Setup Credentials Setup WooCommerce API: Configure WooCommerce API credentials in n8n (e.g., "WooCommerce (get customer)" and "WooCommerce (get customer data)") Rapiwa Bearer Auth: Create an HTTP Bearer credential with your Rapiwa API token Google Sheets OAuth2: Set up OAuth2 credentials for Google Sheets access Configure Google Sheets Ensure your sheet has the required columns as specified in the Google Sheet Column Structure section Verify Code Nodes Code (get paying_customer): Filters customers to include only those who have made purchases Get most buy product id & Clear Number: Identifies the most purchased product and cleans phone numbers Configure HTTP Request Nodes Get customer data: Verify the WooCommerce API endpoint for retrieving customer orders Get specific product data: Verify the WooCommerce API endpoint for product details Get specific product recommend latest product: Verify the WooCommerce API endpoint for finding latest products by category Check valid WhatsApp number Using Rapiwa: Verify the Rapiwa endpoint for WhatsApp number validation Rapiwa Sender: Verify the Rapiwa endpoint for sending messages Google Sheet Required Columns You’ll need two Google Sheets (or two tabs in one spreadsheet): A Google Sheet formatted like this ➤ sample The workflow uses a Google Sheet with the following columns to track coupon distribution: Both must have the following headers (match exactly): | name | number | email | address1 | price | suk | title | product link | validity | staus | | ---------- | ------------- | ----------------------------------------------- | ----------- | ----- | --- | ---------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------ | ---------- | -------- | | Abdul Mannan | 8801322827799 | contact@spagreen.net | mirpur dohs | 850 | | Sharp Most Demanding Hoodie x Nike | https://yourshopdomain/p-img-nike | verified | sent | | Abdul Mannan | 8801322827799 | contact@spagreen.net | mirpur dohs | 850 | | Sharp Most Demanding Hoodie x Nike | https://yourshopdomain/p-img-nike | unverified | not sent | | Abdul Mannan | 8801322827799 | contact@spagreen.net | mirpur dohs | 850 | | Sharp Most Demanding Hoodie x Nike | https://yourshopdomain/p-img-nike | verified | sent | Important Notes Phone Number Format: The workflow cleans phone numbers by removing all non-digit characters. Ensure your WooCommerce phone numbers are in a compatible format. API Rate Limits: Rapiwa and WooCommerce APIs have rate limits. Adjust batch sizes and wait times accordingly. Data Privacy: Ensure compliance with data protection regulations when sending marketing messages. Error Handling: The workflow logs unverified numbers but doesn't have extensive error handling. Consider adding error notifications for failed API calls. Product Availability: The workflow recommends the latest product in a category, but doesn't check if it's in stock. Consider adding stock status verification. Testing: Always test with a small batch before running the workflow on your entire customer list. Useful Links Dashboard: https://app.rapiwa.com Official Website: https://rapiwa.com Documentation: https://docs.rapiwa.com Support & Help WhatsApp: Chat on WhatsApp Discord: SpaGreen Community Facebook Group: SpaGreen Support Website: https://spagreen.net Developer Portfolio: Codecanyon SpaGreen

RapiwaBy Rapiwa
183