Name: Towards AI Legal Name: Towards AI, Inc. Description: Towards AI is the world's leading artificial intelligence (AI) and technology publication. Read by thought-leaders and decision-makers around the world. Phone Number: +1-650-246-9381 Email: [email protected]
228 Park Avenue South New York, NY 10003 United States
Website: Publisher: https://towardsai.net/#publisher Diversity Policy: https://towardsai.net/about Ethics Policy: https://towardsai.net/about Masthead: https://towardsai.net/about
Name: Towards AI Legal Name: Towards AI, Inc. Description: Towards AI is the world's leading artificial intelligence (AI) and technology publication. Founders: Roberto Iriondo, , Job Title: Co-founder and Advisor Works for: Towards AI, Inc. Follow Roberto: X, LinkedIn, GitHub, Google Scholar, Towards AI Profile, Medium, ML@CMU, FreeCodeCamp, Crunchbase, Bloomberg, Roberto Iriondo, Generative AI Lab, Generative AI Lab VeloxTrend Ultrarix Capital Partners Denis Piffaretti, Job Title: Co-founder Works for: Towards AI, Inc. Louie Peters, Job Title: Co-founder Works for: Towards AI, Inc. Louis-FranΓ§ois Bouchard, Job Title: Co-founder Works for: Towards AI, Inc. Cover:
Towards AI Cover
Logo:
Towards AI Logo
Areas Served: Worldwide Alternate Name: Towards AI, Inc. Alternate Name: Towards AI Co. Alternate Name: towards ai Alternate Name: towardsai Alternate Name: towards.ai Alternate Name: tai Alternate Name: toward ai Alternate Name: toward.ai Alternate Name: Towards AI, Inc. Alternate Name: towardsai.net Alternate Name: pub.towardsai.net
5 stars – based on 497 reviews

Frequently Used, Contextual References

TODO: Remember to copy unique IDs whenever it needs used. i.e., URL: 304b2e42315e

Resources

Take our 85+ lesson From Beginner to Advanced LLM Developer Certification: From choosing a project to deploying a working product this is the most comprehensive and practical LLM course out there!

Publication

MCP 101 Tutorial: Build Your Own Modular AI Agent for Stock Investment Insights
Latest   Machine Learning

MCP 101 Tutorial: Build Your Own Modular AI Agent for Stock Investment Insights

Last Updated on August 29, 2025 by Editorial Team

Author(s): Lorentz Yeung

Originally published on Towards AI.

MCP 101 Tutorial: Build Your Own Modular AI Agent for Stock Investment Insights

Welcome to this MCP 101 tutorial! A brief context of the project I started building AI systems for stock investment in 2021 with a sentiment analysis-based trading system powered by XGBoost. That system analyzed market sentiment from news, social media, and financial reports to predict stock movements and generate trading signals. It combined natural language processing (NLP) for sentiment scoring, machine learning for pattern recognition, and backtesting for strategy validation.

MCP 101 Tutorial: Build Your Own Modular AI Agent for Stock Investment Insights

Build Your Own Modular AI Agent for Stock Investment Insights. Photo generated by Sora AI.

This tutorial demonstrates the setup and use of a modular AI system named MCP (Multi-Component Protocol) that integrates advancements in AI orchestration for stock investment. The article covers the framework’s components, necessary software installations, and practical applications. It also highlights the features of a flexible AI agent capable of executing real-time market queries and arithmetic operations. Further instructions for running the code and enhancing the system with additional functionalities, such as sentiment analysis and XGBoost integration, are provided to encourage contributions and experimentation from the community.

Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming aΒ sponsor.

Published via Towards AI

Feedback ↓