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UPDATE: readme
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README.md
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# QueryStockAI
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A comprehensive financial analysis tool that provides stock data, news analysis, and AI-powered insights through an interactive Streamlit web interface. Features advanced machine learning-based stock price predictions using Ridge Regression with comprehensive technical indicators.
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## Features
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- `news_server.py`: MCP server for news data
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- `resource_monitor.py`: System resource monitoring
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- `pages/System_Monitor.py`: System monitoring dashboard
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- `stock_data_linear_regression.ipynb`: Jupyter notebook with original ML approach
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- `requirements.txt`: Python dependencies
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- `pyproject.toml`: Project configuration
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## Disclaimer
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Stock predictions have approximately
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# QueryStockAI
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A comprehensive financial analysis tool that provides stock data, news analysis, and AI-powered insights through an interactive Streamlit web interface. Features advanced machine learning-based stock price predictions using Ridge Regression with comprehensive technical indicators and an AI agent which answers user's queries based on stock dayta and news sentiment.
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## Features
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- `news_server.py`: MCP server for news data
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- `resource_monitor.py`: System resource monitoring
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- `pages/System_Monitor.py`: System monitoring dashboard
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- `requirements.txt`: Python dependencies
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- `pyproject.toml`: Project configuration
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## Disclaimer
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Stock predictions have approximately 70% accuracy. These forecasts are for informational purposes only and should not be used as the sole basis for investment decisions. Always conduct your own research and consider consulting with financial advisors.
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