Actnovate Inc seeks to enhance its financial analytics offerings by developing a streamlined data pipeline that connects to the SEC's API. The goal is to extract relevant financial data and create a user-friendly stock screener that provides weekly stock recommendations to customers. This project will allow learners to apply their knowledge of data engineering, API integration, and financial analysis. The tasks include setting up the data pipeline, processing and filtering SEC data, and developing a basic algorithm for stock recommendations. The project is designed to be completed by a team of learners specializing in data science or a related field, ensuring they can leverage their skills effectively. The project is structured to be completed within 80 hours, focusing on practical application and teamwork.

The project deliverables include a fully functional data pipeline that connects to the SEC API and extracts relevant financial data. Additionally, the team will deliver a stock screener tool that provides weekly stock recommendations based on the extracted data. The final deliverable will be a comprehensive report detailing the pipeline setup, data processing methods, and the logic behind the stock recommendations. These deliverables will demonstrate the learners' ability to integrate data sources and apply analytical techniques.