📊 Autonomous Stock Research Agent (AI Financial Analyst)

An intelligent multi-agent system that autonomously gathers, analyzes, and recommends stock portfolio strategies based on:

• 🗞 Real-time financial news
• 📄 Earnings reports (PDFs)
• 📈 Sentiment and technical indicators

💡 Goal: Build an AI-powered financial analyst that simulates how a real analyst would research and evaluate stocks.

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🚀 Phase 1 – MVP (Functional Prototype)

1. 🗞 Stock News Sentiment Agent

Input: Ticker symbol (e.g., TSLA)

Output: News sentiment classified as:

• 🟢 Positive
• 🔴 Negative
• ⚪ Neutral

Key Features:

• Scrapes latest headlines from financial sources.
• Uses sentiment analysis models to classify tone.

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2. 📄 Quarterly Report Analyzer Agent

Input: Company name or ticker symbol

Output:

• Summary of latest earnings reports.
• Extracted key financial metrics (EPS, Revenue, YoY Growth).

Key Features:

• Automatically downloads and parses PDF earnings reports.
• Uses summarization and metric extraction for key insights.

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