0
Skip to Content
Mosaic Mesh AI
Mosaic Mesh AI
Home
About
Services
AI Courses
Mosaic Mesh AI
Mosaic Mesh AI
Home
About
Services
AI Courses
Home
About
Services
AI Courses
Building an MCP Agentic Stock Trading System - Part 3: The Agentic Loop
Learning Bart Gottschalk 11/26/25 Learning Bart Gottschalk 11/26/25

Building an MCP Agentic Stock Trading System - Part 3: The Agentic Loop

The agentic loop is where LLMs become active problem-solvers instead of passive responders. The LLM doesn't just answer once—it iteratively calls tools, analyzes results, and decides what to check next. My trading agent uses this to analyze stocks: fetch data, calculate indicators, check trends, then make a decision.

Read More
Building an MCP Agentic Stock Trading System - Part 2: The MCP Servers and Tools
Learning Bart Gottschalk 11/25/25 Learning Bart Gottschalk 11/25/25

Building an MCP Agentic Stock Trading System - Part 2: The MCP Servers and Tools

MCP servers are like USB hubs for AI—they provide standardized tools that any agent can plug into. My trading system has two: one fetches market data, the other calculates technical indicators. Write them once, use them with Claude, local LLMs, or even traditional code.

Read More

Mosaic Mesh AI

© 2025 | MosaicMeshAI.com