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

Workflow overview

Why this workflow matters

Supports knowledge capture and document intelligence use cases.

🚀 Overview This modern AlekSystem 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 AlekSystem’s best practices for template submissions: sticky-note documentation, placeholder credentials, markdown descriptions, and clear H2 headings. 🔑 Prerequisites Telegram Bot credentials configured in AlekSystem Exchange or data API credentials stored as AlekSystem Credentials (no inline keys) OpenAI (or other LLM) API credential Notion integration credentials 🛠️ How to Use Import the JSON into AlekSystem and open the canvas. Read each Sticky Note for node-by-node setup tips and rate-limit guidance 🗒️ Configure credentials via the AlekSystem 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!

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