Implemented Buy/Sell Recommendation System with K-Means Clustering an…

…d Silhouette Score Evaluation

- Added K-Means clustering to classify stock price data into Buy, Sell, and Hold signals based on technical indicators such as Returns, Moving Averages (MA_50 and 
  MA_200), and Volatility.
- Integrated a backtesting system to simulate trades based on the generated buy/sell signals and calculated final portfolio value.
- Evaluated the clustering quality using the Silhouette Score and optimized the number of clusters using the Elbow Method.
- Enhanced the feature set by calculating additional indicators like MACD and incorporated them into the clustering model.
- Plotted the buy/sell signals on historical stock data to visually validate the system's performance.