Block 1 - Schedule Market Data Polling (AAPL 5-Min)
- Type / Role
- n8n-nodes-base.scheduleTrigger - scheduleTrigger
- Config choices
- Version 1.3
This workflow is provided as-is. Please review and test before using in production.
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, ana...
n8n-nodes-base.scheduletrigger, n8n-nodes-base.httprequest, n8n-nodes-base.merge, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.if
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Rahul Joshi.
Original n8n.io sourceThis 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.
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.
• Self-hosted n8n instance • Market data API (e.g., Twelve Data) • OpenAI API credentials • Telegram Bot API • Notion API access
✔ 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
Active traders and market analysts Quant and rule-based trading teams Automation engineers building trading assistants Founders prototyping decision-support trading systems
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Generate intraday AAPL trade signals using live data, OpenAI, Telegram and Notion |
|---|---|
| Complexity | advanced |
| Nodes | 24 |
| Categories | Crypto Trading, AI Summarization |
| Author | Rahul Joshi |
| Published | 07 Jan 2026 |
Use the JSON export at /data/workflows/12553/12553.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
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, ana...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Crypto Trading, AI Summarization use case.