Automated multi-agent trading analysis with GPT-5, Telegram, Coinbase & Notion

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2/3/2026

🚀 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!

n8n Automated Multi-Agent Trading Analysis with GPT-5, Telegram, Coinbase, and Notion (Placeholder)

This n8n workflow demonstrates a basic integration pattern, primarily focusing on receiving Telegram messages and interacting with external APIs. While the directory name suggests a complex multi-agent trading analysis system, the provided JSON definition only contains a simple HTTP Request, Telegram messaging, Telegram Trigger, Notion, and OpenAI nodes without any explicit connections. This README describes the potential and current state based solely on the JSON.

Description

This workflow is a foundational template that includes nodes for triggering from Telegram, sending messages to Telegram, making HTTP requests to external APIs, interacting with Notion, and utilizing OpenAI. It serves as a starting point for building more complex automations, such as those involving AI-driven analysis or data logging, triggered by user input in Telegram.

What it does

Based on the available nodes, this workflow has the potential to:

Receive Telegram messages: The Telegram Trigger node can listen for incoming messages or commands from a Telegram chat.
Send Telegram messages: The Telegram node can be configured to send messages, alerts, or responses back to a Telegram chat.
Make HTTP Requests: The HTTP Request node allows for interaction with any RESTful API, which could be used to fetch data (e.g., from Coinbase or other trading platforms) or send data to external services.
Interact with Notion: The Notion node enables creating, updating, or querying pages and databases within Notion, useful for logging data or managing information.
Utilize OpenAI: The OpenAI node provides access to AI models like GPT-5 (as hinted by the directory name), allowing for text generation, analysis, or other AI-powered tasks.

Note: As of the provided JSON, these nodes are present but not connected. The workflow is currently a collection of capabilities rather than a fully defined operational flow.

Prerequisites/Requirements

To use and expand this workflow, you will need:

n8n Instance: A running n8n instance (cloud or self-hosted).
Telegram Bot Token: A Telegram bot configured with a token for the Telegram Trigger and Telegram nodes.
OpenAI API Key: An API key for OpenAI to use the OpenAI node.
Notion Integration Token: An integration token and database/page IDs for Notion to use the Notion node.
External API Endpoints: (Optional, for HTTP Request) Any API endpoints, authentication details, and data structures for external services you wish to interact with (e.g., Coinbase API for trading data).

Setup/Usage

Import the workflow: Import the provided JSON into your n8n instance.
Configure Credentials:
- Set up a Telegram API credential using your Telegram Bot Token.
- Set up an OpenAI API credential using your OpenAI API Key.
- Set up a Notion API credential using your Notion Integration Token.
Connect Nodes (Manual Step): Currently, the nodes are unconnected. To build a functional workflow:
- Drag connections between the nodes to define the desired flow. For example:
  - Connect Telegram Trigger to HTTP Request to fetch data upon a Telegram command.
  - Connect HTTP Request to OpenAI to analyze the fetched data.
  - Connect OpenAI to Notion to log the analysis results.
  - Connect OpenAI or Notion to Telegram to send summaries or alerts back to Telegram.
Configure Node Settings:
- Telegram Trigger: Specify the chat ID or message patterns to listen for.
- Telegram: Specify the chat ID to send messages to and the message content.
- HTTP Request: Configure the URL, method (GET, POST, etc.), headers, and body for your API calls.
- OpenAI: Select the desired model (e.g., gpt-4, gpt-3.5-turbo), provide prompts, and configure parameters.
- Notion: Specify the database ID or page ID and the properties to create or update.
Activate the Workflow: Once configured and connected, activate the workflow to start listening for triggers.

This workflow provides the building blocks for a powerful automation. By connecting and configuring these nodes, you can implement sophisticated scenarios like the "automated multi-agent trading analysis" suggested by the directory name.

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