AI Portfolio 1.2

This application aims to facilitate the creation of a diversified portfolio comprising popular funds designed to minimize volatility while targeting a user-defined average annual return.

It accomplishes this by systematically exploring the space of all possible portfolio combinations to identify the one that offers the lowest volatility for a specified expected annual return.

The principle of combining assets to optimize risk and return is well-established, dating back to Dr. Harry Markowitz’s development of Modern Portfolio Theory (MPT) in 1952. This framework assists investors in aligning their risk tolerance with their return objectives to construct an appropriate investment mix.

Nonetheless, the computational complexity involved in determining the optimal portfolio configuration based on an individual’s risk profile historically required significant processing power, often necessitating desktop computers. Additionally, such calculations are typically performed as a service by financial professionals for fee-based consultation, with costs proportional to the portfolio size.

This application seeks to democratize access to these sophisticated computations, allowing users to design and rebalance their portfolios independently. Users can interpret the provided risk/reward graph and select the level of risk matched to their preferences. The app then efficiently calculates the optimal portfolio allocation tailored to those inputs.

It is important to note that this is not a trading platform and does not provide buy or sell recommendations. Primarily aimed at long-term investors, it facilitates the construction of an optimal portfolio—comprising well-known ETFs—and supports ongoing rebalancing efforts.

For a comprehensive overview, please refer to: https://www.maadotaa.com/aiportfolio

Disclosure: This tool should not be construed as investment advice. Historical performance is not indicative of future results. Users should consult with a qualified financial advisor for personalized investment guidance.