Empowering Investment Decisions with Stock Price Prediction 📈💰 Developed a simple yet effective tool for predicting stock prices using linear regression and 50-day moving average (50DMA) data. 📊 Key Features: 1. Train a linear regression model using 50DMA data 2. Generate closing price predictions based on new 50DMA values 3. Visualize the relationship between 50DMA values and predicted closing prices Contributions: 1. Made the code available on GitHub for easy access and learning 2. Encouraged contributions from developers and data enthusiasts to enhance the project Impact: 1. Empowered individuals to make informed investment decisions 2. Provided valuable insights into stock price movements 3. Contributed to the advancement of stock prediction techniques