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Reinforcement Learning & Stock Analysis Intern
- Data Cleaning: Used Python to clean and organize publicly available stock and financial data of BYD, removing invalid data and filling in missing values to ensure data accuracy and completeness.
- Indicator Calculation: Computed key financial and technical indicators based on the cleaned data, including price-to-earnings ratio (P/E ratio), stock price volatility, and trading volume, laying the foundation for further analysis.
- Stock Market Prediction: Applied reinforcement learning algorithms to predict future stock price trends based on historical data, attempting to develop a self-learning trading strategy model.