
一个基于Python和Flask的Web应用,整合了多维度股票分析能力和人工智能辅助决策功能。系统通过AKShare获取股票数据,结合技术分析、基本面分析和资金面分析,为投资者提供全方位的投资决策支持。
The Intelligent Analysis System is an advanced web application designed for stock market analysis, built on Python and Flask. It combines multi-dimensional stock analysis capabilities with AI-driven decision support to provide investors with comprehensive investment insights. The system utilizes AKShare to gather stock data and integrates various analysis methods including technical, fundamental, and liquidity analysis, allowing users to make well-informed investment decisions.
This platform not only enhances the user experience with real-time data but also offers features aimed at optimizing investment strategies. With its robust toolkit, the system caters to both novice and experienced investors looking to navigate the complex world of stock trading.
Multi-Dimensional Stock Analysis: Leverages technical indicators (like RSI, MACD, and KDJ) alongside fundamental data to give users a complete picture of stock performance.
AI Enhanced Analysis: Utilizes AI APIs to deliver professional investment advice, adapting to market conditions and user needs.
Smart Scoring System: Features a unique scoring system that rates stocks on a scale of 100, incorporating a balanced weight allocation for various analysis dimensions.
Scenario Prediction: Generates multiple market scenarios (optimistic, neutral, and pessimistic) to improve accuracy in forecasting stock trends.
Real-Time Data Updates: Automatically refreshes every 10 minutes to ensure users have the latest market information at their fingertips.
Interactive Visualizations: Includes charts and radar visuals that make data interpretation straightforward, allowing for easier analysis of trends and scores.
Risk Monitoring Tools: Implements a multi-faceted risk alert system that notifies users of potential investment risks based on various metrics.
Responsive Design: Features a user-friendly interface optimized for both desktop and mobile devices, ensuring access on-the-go.
