Abstract: Systems and methods are presented for providing a psychological analysis of financial products in an investor's financial portfolio. In some example embodiments, a method is presented. The method may include accessing, in a device comprising one or more processors, a psychometric data of a financial product, the psychometric data quantifying a decision-making tendency used in managing the financial product.

Abstract: Systems and methods are presented for providing a psychological analysis of financial products in an investor's financial portfolio. In some example embodiments, a method is presented. The method may include accessing, in a device comprising one or more processors, a psychometric data of a financial product, the psychometric data quantifying a decision-making tendency used in managing the financial product.

Abstract: Systems and methods are presented for finding similar funds to a target fund in an investor's financial portfolio. In some embodiments, a method is presented. The method may include accessing target fund characteristics data describing former characteristics of a target fund.

Abstract: A machine may be configured as a recommendation machine that makes one or more recommendations to one or more users. The machine may provide a recommendation based on one or more psychometric profiles that correspond to a user, a product, a manager for the product, or any suitable combination thereof. The user may be a potential buyer of the product, and the manager for the product may fully or partially manage the product and consequently affect the value of the product. The user's psychometric profile may describe market understanding and risk tolerance possessed by the user, and the manager's psychometric profile may describe market understanding and risk tolerance held by the manager. Such psychometric profiles may be used to make recommendations of products. In addition, a psychometric profile for the product itself may be used in the making of such recommendations.

Abstract: A machine may be configured as a recommendation machine that makes one or more recommendations to one or more users. The machine may provide a recommendation based on one or more psychometric profiles that correspond to a user, a product, a manager for the product, or any suitable combination thereof. The user may be a potential buyer of the product, and the manager for the product may fully or partially manage the product and consequently affect the value of the product. The user's psychometric profile may describe market understanding and risk tolerance possessed by the user, and the manager's psychometric profile may describe market understanding and risk tolerance held by the manager. Such psychometric profiles may be used to make recommendations of products. In addition, a psychometric profile for the product itself may be used in the making of such recommendations.