In this developer journey, we will integrate a user's brokerage portfolio (e.g. e*Trade, charles schwab, Fidelity) with IBM's Investment Portfolio service. The integration will use Quovo's Aggregation API to aggregate user's portfolio account and post it to the Investment Portfolio service. The steps to perform the integration will be done using Jupyter Notebook with Python scripts. The IBM Data Science Experience provides a great place to work with notebooks, in addition to other data analytical tools and services. In this journey, we will use IBM Data Science Experience for walking through steps in our notebook. In addition, the steps have been put together to create a web application that performs the integration of user's brokerage portfolio data with Investment Portfolio service. Follow these steps to setup and run this developer journey. The steps are described in detail below.