📈 Automated multi-agent trading analysis with GPT-5, Telegram, Coinbase & Notion
⚡ 2,651 views · 📈 Crypto Trading & Stock Market
Description
🚀 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
- Import the JSON into n8n and open the canvas.
- Read each Sticky Note for node-by-node setup tips and rate-limit guidance 🗒️
- Configure credentials via the n8n Credentials Manager 🔐
- 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!
🔗 Nodes Used
HTTP Request, Telegram, Telegram Trigger, Notion, OpenAI
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File