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Automated Multi-Agent Trading Analysis with GPT-5, Telegram, Coinbase & Notion

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Created by: Tegar karunia ilham || tegarkaruniailham

Tegar karunia ilham

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Last update a month ago

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🚀 Overview

This modern n8n workflow implements a multi-agent trading engine that orchestrates valuation, sentiment, fundamentals, technicals, and macro analyses to generate a single portfolio action with built-in risk controls. It integrates Telegram for live commands, fetches market data, fans out to expert LLM agents, applies position limits via a Risk Manager, executes orders, logs to Notion, and sends a summary back to Telegram.

🔧 What It Does

  • Telegram Trigger listens for ticker commands and context inputs 📲
  • Market Data Node fetches live prices and exchange rates from an API (no hardcoded keys) 🔗
  • LLM Agents run parallel analyses: valuation, sentiment, macro, fundamentals, technicals 🌐
  • Risk Manager enforces max position sizes, stop-loss limits, and confidence thresholds ⚖️
  • Portfolio Manager aggregates signals into a final BUY/SELL/HOLD decision with allocation % 📊
  • Execute Order sends trade requests via HTTP Request 🔒
  • Log to Notion writes a full audit trail for compliance 📓
  • Telegram Output posts a concise report with signals, risk notes, and final decision 📤

💡 Why It’s Useful

This template illustrates a modular “investment committee” architecture that is easy to extend, swap agents, and maintain. It follows n8n’s best practices for template submissions: sticky-note documentation, placeholder credentials, markdown descriptions, and clear H2 headings.

🔑 Prerequisites

  • Telegram Bot credentials configured in n8n
  • Exchange or data API credentials stored as n8n Credentials (no inline keys)
  • OpenAI (or other LLM) API credential
  • Notion integration credentials

🛠️ How to Use

  1. Import the JSON into n8n and open the canvas.
  2. Read each Sticky Note for node-by-node setup tips and rate-limit guidance 🗒️
  3. Configure credentials via the n8n Credentials Manager 🔐
  4. Test each branch (data fetch, agents, risk logic) in isolation before enabling order execution ✅

📐 Architecture Layers

  • Trigger: Telegram Trigger →
  • Data: HTTP Request →
  • Analysis: Parallel LLM Agents →
  • Risk: Risk Manager →
  • Decision: Portfolio Manager →
  • Action: Execute Order, Log to Notion, Send Telegram summary

🔒 Security & Maintenance

All API keys are stored securely as credentials. Sticky Notes document required scopes, retry strategies, and error-handling paths to ensure observability and safe testing.

Enjoy building and customizing your own AI-powered hedge-fund workflow!