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This advanced version of the initial Stock-Portfolio-Robo-Advisor project utilizes advanced SQL, Python, and Airflow for data storage and analysis. The data warehouse contains millions of rows and fetches results for each company and historical prices from an API, enabling comprehensive analysis using different complex algorithmic techniques.