This article provides a complete, practical walkthrough of the Code Schedule Create Scheduled n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.

What This Agent Does

This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• HTTP Request
• Webhook

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   Title:
   Automated AI Stock Analysis Workflow with n8n, GPT-4o, and Real-Time Market Sentiment
   
   Meta Description:
   Discover how this advanced n8n workflow combines AI-powered technical and sentiment analysis using GPT-4o, Chart-img, Alpha Vantage, and Twelve Data to deliver professional Hebrew-language stock reports via email.
   
   Keywords:
   AI stock advisor, GPT-4o stock analysis, n8n stock workflow, automated stock reporting, Alpha Vantage sentiment analysis, Chart-img charts, Twelve Data technical indicators, Hebrew stock report automation, technical + news analysis, AI financial assistant
   
   Article:
   
   Harnessing AI for Automated Stock Analysis with n8n and GPT-4o
   
   In an age where financial data is abundant but actionable insights are scarce, automation plays a critical role in enabling smarter and faster decision-making. The featured n8n workflow serves as a powerful example of using AI to analyze, summarize, and present stock data in a comprehensive report sent directly to a user’s inbox — in professional Hebrew.
   
   This low-code, highly extensible flow automates end-to-end stock analysis using both chart-based technical indicators and live news sentiment. The brain of this system is the GPT-4o model from OpenAI, which interprets data from multiple APIs and organizes it into a user-friendly and visually appealing HTML report. Now let's dive into how it works and which technologies power it.
   
   🔍 Workflow Overview
   
   At its core, the system automates financial analysis by:
   
   - Accepting user inputs (stock ticker + email)
   - Fetching historical and news data via APIs
   - Running AI analysis separately on technicals and trends
   - Synthesizing results into structured JSON
   - Styling and color-coding the output
   - Sending personalized weekly reports
   
   This is achieved entirely within n8n — an open-source workflow automation tool — allowing seamless orchestration of HTTP requests, AI prompts, data conditioning, and email delivery.
   
   🤖 The Role of the AI Agent
   
   Central to the workflow is the LangChain-powered "AI Agent" using OpenAI's GPT-4o. It’s instructed to act as a professional financial analyst speaking in fluent Hebrew. The AI combines two tools:
   
   1. technical_analysis: Processes candlestick charts, visual chart patterns, indicators like RSI, MACD, Bollinger Bands, and support/resistance levels.
   2. trends_analysis: Gathers recent financial news and performs sentiment analysis of tone and relevance.
   
   The AI then compiles a structured JSON object that includes:
   
   - Detailed technical analysis (in Hebrew, tagged with <p>)
   - Market sentiment indicators and statistics
   - Five most impactful financial news articles translated to Hebrew
   - A final recommendation (buy/hold/sell)
   
   📈 Technical Analysis Engine
   
   The technical side of the analysis is visually and quantitatively robust. It utilizes:
   
   - Chart-img: Renders weekly candlestick charts with EMA and RSI
   - Twelve Data: Fetches historic prices and calculates indicators like MACD and Bollinger Bands
   - Custom Logic: Calculates Fibonacci retracements and identifies support/resistance via pattern recognition
   - GPT-4o: Evaluates visual chart patterns and provides structured insights
   
   These inputs are merged and interpreted with further AI logic to create accessible explanations, even for users with no background in technical analysis.
   
   📰 Sentiment & News Analysis
   
   For the sentiment side, the workflow:
   
   - Queries Alpha Vantage for the latest news articles related to the stock
   - Extracts sentiment scores from each mention
   - Identifies "hot topics" and aggregates article relevance
   - Translates sentiment to descriptive Hebrew tags (e.g., חיובי-חזק)
   
   The output includes a bar chart-style preview of sentiment polarity (bullish/neutral/bearish) and shows how many articles support each viewpoint.
   
   📬 HTML Reporting in Hebrew
   
   The workflow generates fully styled, RTL-compatible HTML reports in Hebrew. These reports feature:
   
   - Responsive layout and mobile-friendly styles
   - Color-coded recommendation cards and sentiment bars
   - Embedded technical charts and article previews
   - Visual enhancements based on sentiment (e.g., green for bullish, red for bearish)
   
   To enhance readability and professionalism, all key phrases are refined by GPT-4o to sound like an expert financial advisor would.
   
   🚀 Automation and Delivery
   
   The report is automatically generated:
   
   - Upon form submission (user inputs a ticker symbol and email)
   - On schedule (weekly run via Cron trigger)
   
   Using an SMTP node, emails are sent directly to the user with the subject: הסקירה היומית של מניית [Symbol]: [Date]
   
   📦 Third-Party APIs Used
   
   This workflow leverages the following APIs:
   
   1. OpenAI GPT-4o – for chart analysis, language generation, and recommendation logic
   2. Chart-img – for rendering candlestick charts and visual overlays
   3. Alpha Vantage – for financial news and sentiment scoring
   4. Twelve Data – for price history, Bollinger Bands, and MACD calculations
   
   📌 Final Thoughts
   
   By combining powerful AI with reliable financial APIs, this workflow offers an intelligent decision-making assistant for individual investors and analysts alike. It brings together the worlds of automation, language modeling, and financial data — all within the framework of n8n.
   
   Whether you're building AI financial tools or streamlining investment research, this workflow sets a high standard for what’s possible with open-source automation and AI.
   
   Meta Value Recap:
   - Title: Automated AI Stock Analysis Workflow with n8n, GPT-4o, and Real-Time Market Sentiment
   - Meta Description: Discover how this advanced n8n workflow combines AI-powered technical and sentiment analysis using GPT-4o, Chart-img, Alpha Vantage, and Twelve Data to deliver professional Hebrew-language stock reports via email.
   - Keywords: AI stock advisor, GPT-4o stock analysis, n8n stock workflow, automated stock reporting, Alpha Vantage sentiment analysis, Chart-img charts, Twelve Data technical indicators, Hebrew stock report automation
   - APIs Used:
     - OpenAI GPT-4o
     - Chart-img API
     - Alpha Vantage API
     - Twelve Data API
   
   Let your stock analysis be smart, stylish, and sent to your inbox — all powered by AI.

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.