This project is designed to fetch and process financial market data to facilitate the screening of stocks across various market capitalizations. The project aims to categorize stocks into Micro-Cap, Small-Cap, Mid-Cap, Large-Cap, and Mega-Cap groups based on their market capitalization.
- Fetch market capitalization data in batches for efficiency.
- Categorize stocks into predefined market cap groups.
- Create a DataFrame to count the occurrences of each market cap type.
- Implement a progress bar for batch processing to monitor API data fetching.
This project is currently a work in progress. Future updates aim to enhance functionality, improve efficiency, and refine data analysis.
The code is structured to run in a batch processing mode to efficiently handle large volumes of data from the IEX Cloud API.
- Obtain an API key from IEX Cloud.
- Install the required Python libraries:
pandas,requests, andmath.
- Define the list of symbols or use the provided function to fetch them.
- Set the
iex_keyvariable to your IEX Cloud API key. - Run the script to process the data and view the results.
Contributions to this project are welcome. Please fork the repository and submit a pull request with your changes.
This project is open-sourced under the MIT license.
For any queries or assistance, feel free to contact the project maintainers.
Note: This README is in progress and will be updated with more detailed information and instructions as the project evolves.