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Generate intraday AAPL trade signals using live data, OpenAI, Telegram and Notion

Rahul JoshiRahul Joshi
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2/3/2026
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📘 Description

This workflow automates short-interval market signal evaluation for intraday trading using live technical indicators and deterministic decision logic. It is designed for traders, analysts, and automation teams who want fast, auditable trade signals without manual chart monitoring or subjective interpretation. On a fixed 5-minute schedule, the workflow fetches live price, volume, RSI, and EMA data for AAPL and combines them into a unified market snapshot. A deterministic computation layer derives clear trend and momentum signals, ensuring indicator logic remains transparent and non-AI. These signals are then evaluated by a strict, rule-based AI decision engine that returns a structured verdict—APPROVE, WAIT, or REJECT—along with confidence and a concise reason. Trade decisions are routed instantly to Telegram for real-time visibility and logged to Notion for historical analysis and auditability. Built-in error handling ensures any workflow failure is reported immediately.

⚠️ Deployment Disclaimer

This workflow is intended for self-hosted n8n instances only. It relies on frequent polling, external market data APIs, and advanced AI agent orchestration not suitable for n8n Cloud. ⚙️ What This Workflow Does (Step-by-Step) ⏰ Scheduled Market Data Polling Runs automatically every 5 minutes to capture fresh market data. 📡 Fetch Live Market Indicators Pulls AAPL price, volume, RSI, and EMA from the market data provider. 🔗 Merge Indicator Streams Combines all indicators into a synchronized market snapshot. 🧮 Compute Trend & Momentum (Deterministic) Derives bullish, bearish, or neutral signals using fixed logic—no AI. 🧠 Evaluate Trade Decision (AI) Applies strict rule-based logic to return verdict, confidence, and reason. 🔀 Route Trade by Verdict Separates approved vs non-approved signals automatically. 📣 Send Telegram Trade Alerts Delivers real-time trade decisions directly to Telegram. 🗂 Log Decisions to Notion Stores every verdict for tracking, analysis, and audit. 🚨 Workflow Error Handler → Email Alert Sends immediate notifications if any step fails.

🧩 Prerequisites

• Self-hosted n8n instance • Market data API (e.g., Twelve Data) • OpenAI API credentials • Telegram Bot API • Notion API access

💡 Key Benefits

✔ Fully automated intraday signal monitoring ✔ Transparent, auditable indicator calculations ✔ Strict, deterministic AI decision logic ✔ Real-time Telegram alerts without opening n8n ✔ Centralized trade history in Notion ✔ Reliable error detection and reporting

👥 Perfect For

Active traders and market analysts Quant and rule-based trading teams Automation engineers building trading assistants Founders prototyping decision-support trading systems

n8n Workflow: Generate Intraday AAPL Trade Signals with Live Data, OpenAI, Telegram, and Notion

This n8n workflow automates the process of generating intraday trade signals for Apple (AAPL) stock using live data, an OpenAI AI Agent, and then delivering these signals to Telegram and Notion. It also includes robust error handling to notify administrators via email (Gmail) if any part of the process fails.

What it does

This workflow streamlines the generation and distribution of stock trade signals through the following steps:

  1. Schedules Execution: The workflow is triggered on a predefined schedule, ensuring regular signal generation.
  2. Fetches Live Data: It makes an HTTP request to retrieve live stock data for AAPL.
  3. Generates AI Signals: An OpenAI Chat Model, guided by a Structured Output Parser, processes the live data to generate trade signals (e.g., "buy", "sell", "hold") and a rationale.
  4. Filters Signals: It uses an 'If' node to check if a valid trade signal was generated (e.g., "buy" or "sell").
  5. Posts to Telegram: If a valid signal is generated, it sends a notification message to a specified Telegram chat.
  6. Records in Notion: Simultaneously, it records the generated trade signal, rationale, and other relevant data into a Notion database.
  7. Handles Errors: In case of any workflow failure, an 'Error Trigger' activates, sending an email notification via Gmail to alert administrators.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running n8n instance.
  • OpenAI API Key: For the OpenAI Chat Model.
  • Telegram Bot Token and Chat ID: To send messages to Telegram.
  • Notion Integration Token and Database ID: To interact with your Notion database.
  • Gmail Account: Configured as a credential in n8n for error notifications.
  • API for Live Stock Data: An API endpoint that provides live stock data for AAPL (configured in the HTTP Request node).

Setup/Usage

  1. Import the Workflow:
    • Copy the provided JSON code.
    • In your n8n instance, click "New" in the workflows list.
    • Click the "Import from JSON" button and paste the copied JSON.
  2. Configure Credentials:
    • Locate the nodes requiring credentials (OpenAI Chat Model, Telegram, Notion, Gmail).
    • Click on each node and configure the respective credentials (e.g., API keys, tokens, chat IDs, database IDs, email addresses).
  3. Configure HTTP Request:
    • Update the "HTTP Request" node with the URL of your live stock data API and any necessary authentication or parameters.
  4. Configure AI Agent:
    • Review the "AI Agent", "OpenAI Chat Model", and "Structured Output Parser" nodes. Adjust the prompts and output structure as needed to tailor the trade signal generation to your specific requirements.
  5. Configure Telegram:
    • In the "Telegram" node, ensure the correct "Chat ID" is set to receive notifications.
  6. Configure Notion:
    • In the "Notion" node, specify the "Database ID" where the trade signals should be recorded and map the data fields correctly.
  7. Configure Error Handling:
    • In the "Gmail" node connected to the "Error Trigger", set the recipient email address for error notifications.
  8. Activate the Workflow:
    • Once all configurations are complete, activate the workflow by toggling the "Active" switch in the top right corner of the n8n editor.

The workflow will now run on its defined schedule, generate trade signals, and distribute them, with error notifications in place.

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