Abstract: The embodiments described herein are directed to generating a predictive market indicator for an asset. In one embodiment, a computer-implemented method comprises receiving proposed trades that comprise an asset and a trade recommendation; calculating a proposed trade alpha for the proposed trades; calculating a proposed trade alpha average for the asset based on a subset of the proposed trades comprising the asset; determining an asset alpha for a plurality of assets based on the proposed trade alpha average associated with the assets; generating a ranking of the assets based on the asset alpha associated with the asset; dividing the ranking into a number of segments; determining an indicator number to assign to the assets based on a rank position associated with the assets and the number of segments associated with the ranking; and encoding for display a user interface that specifies the indicator number corresponding with the asset.

Abstract: A system and method for measuring and creating a score for the performance of one or more contributor recommendations on a single stock. According to one embodiment, the score may be derived via a payoff function that depends on a variety of factors. For example, the factors may include one or more of: i) the performance of the stock; ii) the performance of a selected benchmark; iii) the recommendation of the contributor for the stock; and/or iv) other factors. According to one embodiment the payoff function may be designed such that certain desired characteristics are satisfied.

Abstract: A system and method for measuring and creating a score for the performance of one or more contributor recommendations on a single stock. According to one embodiment, the score may be derived via a payoff function that depends on a variety of factors. For example, the factors may include one or more of: i) the performance of the stock; ii) the performance of a selected benchmark; iii) the recommendation of the contributor for the stock; and/or iv) other factors. According to one embodiment the payoff function may be designed such that certain desired characteristics are satisfied.

Abstract: A system and method for measuring and creating a score for the performance of one or more contributor recommendations on a single stock. According to one embodiment, the score may be derived via a payoff function that depends on a variety of factors. For example, the factors may include one or more of: i) the performance of the stock; ii) the performance of a selected benchmark; iii) the recommendation of the contributor for the stock; and/or iv) other factors. According to one embodiment the payoff function may be designed such that certain desired characteristics are satisfied.

Abstract: A system and method for measuring and creating a score for the performance of one or more contributor recommendations on a single stock. According to one embodiment, the score may be derived via a payoff function that depends on a variety of factors. For example, the factors may include one or more of: i) the performance of the stock; ii) the performance of a selected benchmark; iii) the recommendation of the contributor for the stock; and/or iv) other factors. According to one embodiment the payoff function may be designed such that certain desired characteristics are satisfied.