Video ID: Nw5H0HjN6_s
YouTube URL: https://www.youtube.com/watch?v=Nw5H0HjN6_s
Added At: 13-06-25 21:16:09
Processed: No
Sentiment: Positive
Categories: Tech, Finance
Tags: AI, Machine Learning, Stock Trading, Model Context Protocol, Natural Language Interaction
Summary
Building an AI-powered stock trading system using Model Context Protocol (MCP). The demo shows how to create a trading app with four intelligent agents that read news, analyze sentiments, predict stock prices, and execute trades. The agents log their actions in a database, which can be accessed through natural language interaction.
Transcript
Building an AI powered stock trading system using model context protocol. MCP is a framework that allows large language model like cloud or chat GBT to connect to real world tools such as databases, code bases or file system using secure and structured interface. In this demo, I will walk you through a trading app built using four intelligent agents. Each designed to mimic how a smart financial assistance would make decision. These agents read news, analyze sentiments, predict stock price and execute rates all while logging their actions to the postcrist database. And with the MCP integration, we expose the database and codebase to an LLM enabling natural language interaction like show me all Tesla trades where sentiment was bullish but price dropped. Let's dive in and see how this agents pipeline work and how model context protocol turn our app into an a native platform. Here is a