Stock Analysis Made Easy: Analyze and Visualize Stock Ratings

Overview

This Python script empowers you to effortlessly analyze and visualize stock ratings, making informed investment decisions a breeze!

Powerful Features at Your Fingertips:

• Effortless Data Fetching: Tap into the power of Yahoo Finance to retrieve stock ratings for your chosen symbols.
• Clear Data Presentation: View the fetched data in a clean and easy-to-read table format.
• Organized Sorting: Gain deeper insights by sorting the data based on stock ratings, allowing you to prioritize high-potential stocks.
• Visual Insights:Uncover trends and patterns with a captivating bar chart that brings stock ratings to life!
• Robust Error Handling: Rest assured, the script gracefully handles errors, logging them for troubleshooting purposes. ️
• Multiprocessing Power: Experience lightning-fast performance as the script leverages multiprocessing to fetch data for multiple stocks simultaneously. ⚡️
• Detailed Logging:Stay informed with comprehensive logs that track the script's execution flow and any encountered errors.

Getting Started:

Prerequisites

• Python 3.x
• Required Python packages: requests, csv, yfinance, pandas, matplotlib
• Internet connection to fetch stock data from Yahoo Finance

Usage

1. Install Dependencies: Ensure that all required Python packages are installed. You can install them via pip:

   pip install requests yfinance pandas matplotlib
   

2. Prepare Stock List: Create a CSV file containing a list of stock symbols, with one symbol per line.
3. Run the Script: Execute the script main.py. You'll be prompted to enter the filename of the CSV containing stock symbols and whether to sort the data.
4. View Data: After execution, the script will display the fetched stock data. If opted, it will also generate a bar plot for visualization.
5. Save Successful Symbols: Optionally, you can choose to save the symbols for which data was successfully fetched into another CSV file.

Behind the Scenes:

-Logs are meticulously recorded in a file named myapp.log within the script's directory. These logs provide timestamps, log levels, and detailed messages for efficient troubleshooting.

Additional Notes:

-Double-check that your CSV file includes valid stock symbols.

-In case of any errors, the log file will provide valuable details for resolving the issue.

-For further assistance or questions, feel free to reach out to the script's maintainer.