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個人投資家向けツール

  • Stocknear provides actionable trading data and tools for traders.
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    What is stocknear?
    Stocknear is a sophisticated stock analysis platform utilizing AI to provide detailed financial data, statistics, news, and charts. It offers a user-friendly interface for traders to access high-quality Wall Street data that’s typically reserved for institutional investors. The platform aims to empower individual traders by providing them with the same data, insights, and tools used by professional traders, thereby leveling the playing field and enhancing their trading strategies.
    stocknear Core Features
    • AI-driven analytics
    • Detailed financial data
    • Exclusive Wall Street data
    • User-friendly interface
    stocknear Pro & Cons

    The Cons

    Not open source, limiting community involvement
    Limited information on platform scalability and customer support
    Being a solo project might impact feature development speed and robustness

    The Pros

    Integrates proprietary AI agents and models for market analysis
    Offers multiple subscription plans suitable for different investor levels
    Provides real-time data and notifications including options activity and dark pool trades
    Affordable pricing due to solo project management
    Includes rare data access like hedge fund and US Congress portfolios
    User-friendly features such as customizable watchlists and price alerts
    stocknear Pricing
    Has free planNo
    Free trial details
    Pricing model
    Is credit card requiredNo
    Has lifetime planNo
    Billing frequency
    For the latest prices, please visit: https://stocknear.lemonsqueezy.com/pricing/
  • An AI-driven agent that fetches stock market data, analyzes trends, predicts movements, and generates investment insights.
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    What is Stock Analysis AI Agent?
    Stock Analysis AI Agent is a Python-based AI tool that automates the end-to-end process of market analysis. It integrates with financial data sources such as Yahoo Finance and Alpha Vantage to collect historical and real-time stock data. Using OpenAI's GPT models, it computes technical indicators like moving averages and RSI, performs statistical and trend analysis, and generates price movement forecasts. The agent outputs natural language summaries, visualizations with matplotlib, and exportable reports. Its modular design allows customization of tickers, timeframes, and indicators. This AI-driven workflow accelerates investment research by providing objective insights, trend predictions, and actionable recommendations for retail investors, financial analysts, and algorithmic traders.
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