Build Autonomous AI Trading Agents with n8n, MT5 & Free APIs

Packt via Coursera

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Provider

Coursera
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Effort

11 weeks, 1 hour a week
Sessions

Self-Paced
Level

Intermediate
Subtitles

English

Found in

Overview

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Build autonomous AI trading agents with n8n, MT5, and free APIs in this practical course. Learn to set up the Arrissa Market Data API, configure n8n, and create trading workflows. By the end, you'll have a fully autonomous AI agent capable of making live trading decisions. This course will guide you through the entire process of building autonomous AI trading agents using n8n, MT5, and free APIs. You will begin by acquiring and setting up essential tools such as the Arrissa Market Data API and Ubuntu server, followed by installing and configuring n8n to streamline your trading workflows. Throughout the course, you will learn to integrate LLM models for market analysis and build AI-driven agents capable of making trading decisions autonomously. The journey continues as you delve into the core of AI trading models and agents. With practical hands-on projects, you’ll create a robust market analysis workflow, configure APIs for trading execution, and set up advanced models. Special attention is given to backtesting and fine-tuning, ensuring your models are optimized for real-world performance. You'll also explore key protocols like Tool Matching and Model Context Protocol (MCP), which help in building a sophisticated and autonomous trading system. By the end of the course, you’ll have the skills and knowledge to develop and deploy a fully functional AI trading agent for MT5. The course concludes with a bonus section that celebrates your achievements and sets you on the path to becoming an expert in autonomous AI trading. This course is designed for intermediate learners and professionals interested in AI, trading systems, and automation. It’s ideal for anyone looking to build AI trading agents or automate trading strategies using n8n and MT5. Familiarity with basic programming concepts and trading platforms is recommended. The course offers a step-by-step approach to building autonomous AI agents. You’ll begin by setting up the required tools, followed by integrating APIs for data and trading. The final sections focus on refining and optimizing your AI models for live trading. This course is based on Build Autonomous AI Trading Agents with n8n, MT5 & Free APIs, by Arrissa (Pty) Ltd. This course is licensed and distributed by Packt. All rights reserved. Packt is one of the world's most prolific publishers of cutting-edge technical content. For over two decades we've made it our mission to curate and publish the knowledge of only the very best technical experts. We focus on real-world courses that help our customers get the job done, with coverage that extends across a wide range of established and cutting-edge technical topics. If you're an individual or an organisation that embraces learning by doing, Packt is the perfect fit for you.

Syllabus

Introduction
- This module provides an overview of the course structure and introduces foundational concepts related to autonomous AI trading agents. Learners will gain clarity on the scope and objectives of the course, as well as the key topics that will be explored throughout the program.
Installing Arrissa Market Data API
- This module guides learners through the essential steps of setting up a domain, configuring a VPS, installing necessary software, and securing a server for hosting the Arrissa Market Data API. It provides hands-on instruction for preparing a reliable environment for market data integration.
Installing n8n No Code Workflow Builder
- This module guides learners through the installation, configuration, and deployment of n8n, a no-code workflow automation tool. It covers setting up the environment, configuring the tool for trading workflows, and understanding best practices for reliability and updates.
Your First AI Market Analysis Workflow in n8n
- This module guides learners through building an AI-driven market analysis workflow using n8n. It covers setting up LLM credentials, crafting effective prompts, and parsing structured data outputs for actionable insights. By the end, learners will be able to create and execute automated market analysis processes.
Configuring Arrissa Market Data API
- This module guides learners through the setup and configuration of the Arrissa Market Data API, focusing on practical skills like acquiring a Windows VPS, integrating trading terminals, and configuring various APIs for market analysis and trading execution.
Building AI Analysis Agents Workflows in n8n
- This module explores the fundamentals of constructing AI-driven market analysis workflows using n8n. Learners will gain hands-on experience with JSON data structures, AI trading models, and vision-based chart analysis. The module also covers building a chat agent to interact with and provide insights from market data.
Building a Fully Autonomous AI Trading Agent for MT5 in n8n
- This module explores the development of an autonomous AI trading agent that interacts with the MT5 platform. Learners will gain hands-on experience in integrating APIs, managing trades, and implementing safety protocols. The content emphasizes practical application and secure AI-driven decision-making in financial trading.
Tool Matching (Management) Protocol (TMP) in n8n
- This module provides a comprehensive overview of the Tool Matching Protocol (TMP) in n8n, covering its role in automating tool configuration and improving AI agent performance. Learners will explore how to build and test a TMP chat agent, including setting up categories, prompts, and actions. By the end, they will have practical skills in integrating TMP into AI workflows.
MCP - Model Context Protocol in n8n and ArrissaData API
- This module explores the Model Context Protocol (MCP) and its application in AI-driven trading. Learners will gain hands-on experience setting up MCP servers, building chat agents, and integrating them with n8n for automated workflows. The content emphasizes real-time decision-making and system automation in modern trading environments.
Backtesting and Fine-tuning AI Analysis Models
- This module focuses on the process of backtesting AI models to improve prediction accuracy. Learners will explore techniques for evaluating model performance using real-world data and develop skills in integrating financial data sources effectively.
Bonus Section
- This module provides a reflective overview of the course journey, highlighting key achievements and offering a moment to celebrate progress. Learners will gain a sense of accomplishment and clarity on their learning outcomes.