Authority Score Optimization

For an average investor, prior to making an investment, they would conduct the following steps: ideation, comprehension, validation, and execution from different platforms – each servicing a specific need and is overcomplicated for the average user. On top of that, it would take months before someone found their suite of tools, platforms, and brokerages they’d like to work just to place one confident trade.

One of Utradea’s main value proposition is the ability for users to share investment ideas and content on the platform with other users. When a user contributes investment content to the platform, they are eligible to receive monetary compensation for their contribution. This is like YouTube where people can post videos and receive payouts based on the number of views, etc. Utradea has developed a proprietary payout model to reward these users, know as contributors, for their investment information contribution to the platform. The main component of this model is known as the Authority Score. The Authority Score tracks a number of metrics related to contributor and their content (i.e. length of content, quality of content, number of views, directional correctness, etc.) The Authority Score determines the payout a contributor is eligible to receive.

The purpose behind this model is to find a balance between incentivizing contributors to contribute content to Utradea, while reducing the total payout. The Authority Score model is preliminary in nature and needs to be tested, refined, and optimized to find the ideal balance between contributor regards and payout reduction.

Faculty Supervisor:

Sandy Staples

Student:

Partner:

Utradea Inc

Discipline:

Mathematics

Sector:

Information and cultural industries

University:

Queen's University

Program: