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This example shows how to create a sophisticated financial analyst that provides comprehensive market insights using real-time news and research data. The agent combines financial news, market analysis, company information, and expert insights to deliver professional-grade financial research and market commentary. Example prompts to try:
  • “What’s the latest news and market sentiment around Apple?”
  • “Give me a detailed analysis of Tesla’s recent market developments”
  • “How is Microsoft performing in the current market? Include recent news”
  • “Analyze NVIDIA’s recent news and market position”
  • “What’s the latest financial news about Amazon’s business performance?”

Code

finance_agent.py

Usage

1

Create a virtual environment

Open the Terminal and create a python virtual environment.
2

Install libraries

3

Set environment variables

4

Run the agent