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Comprehensive P/E ratio analysis Tools for Every Need

Get access to P/E ratio analysis solutions that address multiple requirements. One-stop resources for streamlined workflows.

P/E ratio analysis

  • Bourse

    An AI-driven stock screener enabling natural language queries over thousands of US-listed companies’ fundamentals.
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    What is Bourse?
    Bourse is an AI agent designed for investors and analysts to streamline stock screening. It ingests financial statements and market data for thousands of publicly traded US companies, allowing users to ask questions like “Show me tech stocks with P/E under 20 and revenue growth above 15%.” The agent processes natural language queries, computes metrics, filters results, and provides concise, exportable outputs. With support for sector grouping, custom metrics, and trend analysis, Bourse turns complex spreadsheets into simple conversational queries.
    Bourse Core Features
    • Natural language stock screening
    • Fundamental metrics filtering
    • Sector grouping and comparisons
    • Data export to CSV
    • Daily updated market fundamentals
    Bourse Pro & Cons

    The Cons

    No clear indication of open-source availability
    Lack of direct links to community or support platforms
    No pricing information provided

    The Pros

    High-performance implementation using Rust for efficiency
    Python interface for ease of use and integration
    Supports agent-based models and reinforcement learning applications
    Comprehensive API and simulation features

  • Investidor IA

    An AI agent that analyzes market data, generates personalized investment strategies, and delivers real-time portfolio insights
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    What is Investidor IA?
    Investidor IA harnesses Python libraries like Pandas and Yahoo Finance to fetch and preprocess stock market data, while leveraging OpenAI’s GPT models to interpret complex financial metrics and generate actionable insights. It performs fundamental analysis—examining P/E ratios, revenue growth, and dividend yield—and technical analysis using moving averages and RSI. The agent also scrapes and analyzes news headlines for sentiment trends to gauge market mood. With a CLI interface, users define watchlists and risk preferences, receive CSV reports and visual plots, and get natural language summaries of portfolio health. Scheduled tasks automate daily updates and alerts via email or messaging. Its modular architecture allows integration with brokerage APIs for automated order execution, enhancing both research and trading workflows.
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