In this chapter, we learned a number of portfolio management techniques. We combined them with AI to automate the decision-making process when buying assets. We learned about the Markowitz mean-variance model and the Treynor-Black model for portfolio construction. We also looked at an example of portfolio construction using the Treynor-Black model. We also learned how to predict trends in the trading of a security.
In the next chapter, we will look at the sell side of asset management. We will learn about sentiment analysis, algorithmic marketing for investment products, network analysis, and how to extract network relationships. We will also explore techniques such as Network X and tools such as Neo4j and PDF Miner.
