Automated multi-agent trading analysis with GPT-5, Telegram, Coinbase & Notion
Needs changesNeeds changes. This template uses 1 thing(s) that n8n 3.0 removes: OpenAI (legacy). 1 breaking item(s) found. Static check, last run 2026-10-19.
What to replace before upgrading
| Removed in 3.0 | Replace with |
|---|---|
| OpenAI (legacy) Valuation Agent, Sentiment Agent, Risk Manager, Portfolio Manager, Stanley Druckenmiller Agent, Rakesh Jhunjhunwala Agent, Phil Fisher Agent, Peter Lynch Agent, Mohnish Pabrai Agent, Michael Burry Agent, Charlie Munger Agent, Bill Ackman Agent, Aswath Damodaran Agent, Ben Graham Agent, Warren Buffett Agent, Cathie Wood Agent, Fundamentals Agent, Technicals Agent | OpenAI node (AI section) |
Nodes used (5)
- Telegram Trigger
n8n-nodes-base.telegramTrigger - OpenAI
n8n-nodes-base.openAi - HTTP Request
n8n-nodes-base.httpRequest - Notion
n8n-nodes-base.notion - Telegram
n8n-nodes-base.telegram
What it does
🚀 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!