Summary:

This project utilizes Python code for stock price analysis and trading strategy. Leveraging yfinance, mplfinance, and matplotlib, it retrieves historical data, identifies support and resistance levels, and suggests potential entry points. The resulting plot displays a candlestick chart with blue lines indicating support and resistance levels, green dots marking entry points, and annotations providing price and volume information. The mplcursors library enhances user interaction by displaying real-time price details on hover.