📊 Data Collection: We've gathered historical stock price data for renowned companies such as Apple, Microsoft, Google, Amazon, and more, sourced seamlessly from Yahoo Finance. Our dataset forms the foundation of this journey.
✨ Data Preprocessing: Witness the magic of data transformation as we cleanse and refine our dataset, ensuring it's pristine and ready for analysis. This crucial step sets the stage for meaningful insights.
📊 Linear Regression Models: Explore the art of predicting stock prices using tailored linear regression models for each company. These models provide a glimpse into potential market movements and valuable investment insights.
🎯 Model Evaluation: Ensuring model accuracy is paramount. We utilize metrics like Mean Squared Error (MSE) and Root Mean Squared Error (RMSE) to assess model performance, instilling confidence in our analyses.
📈 Visual Insights: Experience the power of data visualization through interactive plots that vividly illustrate closing prices and sales volumes for each company. Data comes to life in captivating visuals.
📈✨ Risk vs. Return Analysis: Delve into a captivating exploration of risk and return for tech giants, offering investors a comprehensive view to guide their decision-making.
🔮 Predictive Intelligence: Our journey culminates in using these models to predict the next day's stock prices, offering valuable insights for short-term trading strategies.
- Clone this repository to your local machine.
- Explore the Google colab to dive into the analysis and code implementation.
Let's connect and dive deeper into the world of stock market analysis, data science, and financial modeling. Feel free to reach out for questions, collaborations, or to share your insights.
This project is licensed under the MIT License.
Happy Exploring! 🚀📈