EarningsFinancialsAgent

This agent provides deep-dive analysis into quarterly earnings and corporate financial health. It is designed to run locally and uses the yfinance library for reliable, real-time data retrieval.

Setup

Before using this skill, ensure the dependencies are installed in your environment:

pip install yfinance

User Instructions

The agent can handle a variety of financial inquiries. Use these as templates for your requests:

• Earnings Performance: "Summarize the latest earnings for NVDA and check if they beat revenue estimates."
• Direct Comparison: "Compare the net income of Google vs Meta for the last 4 quarters."
• Financial Ratios: "What is the debt-to-equity ratio and quick ratio for TSLA?"
• Cash Flow Analysis: "Give me a summary of Amazon's cash flow from the most recent report."
• Growth Trends: "Show me the revenue growth trend for Netflix over the last year."
• Calendar Checks: "Is Broadcom reporting earnings this week? If so, when?"
• Profitability: "Analyze the profit margins for AMD based on their latest financials."
• Dividend Health: "Check the dividend payout ratio for Coca-Cola to see if it's sustainable."

Tools

get_earnings

Fetches the most recent earnings results and compares them to analyst estimates.

• Inputs: ticker (string)
• Call: python3 logic.py --tool get_earnings --ticker {{ticker}}

get_financials

Retrieves key balance sheet, income statement, and cash flow metrics.

• Inputs: ticker (string)
• Call: python3 logic.py --tool get_financials --ticker {{ticker}}