#Overview
This project provides a comprehensive analysis and comparison of different stock market indices and individual stocks using Python. The goal is to help investors and analysts understand market trends, correlations, and the performance of various stocks over time. By leveraging Python's data analysis libraries, this project offers visual insights and quantitative metrics to make informed investment decisions.
#Features
Data Collection: Automatically fetches historical stock data from sources like Yahoo Finance using APIs. Data Cleaning & Preprocessing: Handles missing data, outliers, and formats data for analysis. Exploratory Data Analysis (EDA): Includes time-series analysis, moving averages, and statistical summaries. Stock Comparison: Compares multiple stocks or indices side by side, highlighting key performance indicators (KPIs) such as ROI, volatility, and correlation. Visualization: Offers various charts (line, bar, candlestick) to visualize stock trends and comparisons over different time periods. Machine Learning Models: Implements basic prediction models like Linear Regression and ARIMA to forecast future stock prices. Backtesting: Provides a simple backtesting framework to test investment strategies based on historical data.
#Technologies Used
Python: The core programming language for the analysis. Pandas: For data manipulation and analysis. Matplotlib/Seaborn: For data visualization. NumPy: For numerical computations. Scikit-learn: For implementing machine learning models. yfinance: For downloading stock data from Yahoo Finance.
#How to Use
Clone the Repository: Clone the project to your local machine using git clone. Install Dependencies: Ensure all required Python libraries are installed by running pip install -r requirements.txt. Run the Analysis: Use the provided Jupyter notebooks or Python scripts to conduct your own stock market analysis. Customize: Modify the parameters, stock symbols, or time periods in the code to suit your specific analysis needs.
#Examples
Comparing FAANG Stocks: A detailed analysis comparing Facebook, Apple, Amazon, Netflix, and Google stocks over the past 5 years. Index vs. Individual Stock: Compare the performance of an individual stock against a major index like the S&P 500.
#Contributions
Contributions to enhance the project are welcome! Feel free to fork the repository and submit a pull request with your improvements.
Snapshots
