Welcome to Skyskraper.AI

The Skyskraper.AI research & development project is an industry-academia collaboration. Our research will use several artificial intelligence (AI) tools, such as expert systems and machine learning (ML) models, to automatically adjus t a given set of asset allocation portfolios in order to optimize these portfoli os' exposure to the different investment asset classes based on the current or e xpected market conditions. The models will use large historical data sets and so me real-time data streams. Asset allocation is based on modern portfolio theory that suggests different asset classes perform differently over time and owning a ll the assets in weighted proportion could produce a portfolio that could be les s volatile and perform better over time. Our project will also implement an AI/M L-driven sentiment analyzer to evaluate the impact of financial news, tweets, bl ogs, and other social media platforms on the stocks and other financial assets. The result will be a dynamic portfolio management system that will strategically shift allocations when indicators point to certain market conditions.

While the overall objective of the research project will be to deliver an AI- driven portfolio management system, we expect to have several smaller tangential projects that may leverage this work. This project seeks to:

• Provide an opportunity for applied research that will be mutually be neficial to members of the collaborative.
• Provide project opportunities for academic credit to graduate and un dergraduate students at the participating academic institutions.