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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.

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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.

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