Abstract: Systems and methods for generating a performance index are described. A rank score is generated for each investor relative to a group of investors of which the investor is a member. Generation of the rank score uses investment data of a portfolio of the investor, and the portfolio comprises at least one investment position. A set of investors is selected from the group of investors, and the selection is based on the rank score of each investor. The performance index is generated to provide a measure of performance of top individual investors over time relative to a market index. Generation of the performance index includes generating a composite portfolio comprising investment positions of each portfolio of each investor of the set of investors.

Abstract: Systems and methods for generating a performance index are described. A rank score is generated for each investor relative to a group of investors of which the investor is a member. Generation of the rank score uses investment data of a portfolio of the investor, and the portfolio comprises at least one investment position. A set of investors is selected from the group of investors, and the selection is based on the rank score of each investor. The performance index is generated to provide a measure of performance of top individual investors over time relative to a market index. Generation of the performance index includes generating a composite portfolio comprising investment positions of each portfolio of each investor of the set of investors.

Abstract: Systems and methods for generating a performance index are described. A rank score is generated for each investor relative to a group of investors of which the investor is a member. Generation of the rank score uses investment data of a portfolio of the investor, and the portfolio comprises at least one investment position. A set of investors is selected from the group of investors, and the selection is based on the rank score of each investor. The performance index is generated to provide a measure of performance of top individual investors over time relative to a market index. Generation of the performance index includes generating a composite portfolio comprising investment positions of each portfolio of each investor of the set of investors.

Abstract: A method includes aggregating investment data and real-time trade data of investors. The method further includes ranking the investors according to investment performance derived from the investment data, and generating ratings for positions held by the investors using the ranking and the real-time trade data.

Abstract: Systems and methods for an investment trading platform are described. An investment platform forms electronic links among member investors and investment portfolios and brokerage accounts of the investors, wherein a portfolio includes at least one investment position. The investment platform shares between the investors the portfolio data or the portfolios and/or brokerage data of the brokerage accounts. A trading application programming interface (API) conducts operations in portfolios and/or brokerage accounts in response to the portfolio data and/or the brokerage data. The trading API conducts automatic operations in portfolios and/or brokerage accounts in response to the portfolio data and/or the brokerage data.

Abstract: Systems and methods for generating a performance index are described. A rank score is generated for each investor relative to a group of investors of which the investor is a member. Generation of the rank score uses investment data of a portfolio of the investor, and the portfolio comprises at least one investment position. A set of investors is selected from the group of investors, and the selection is based on the rank score of each investor. The performance index is generated to provide a measure of performance of top individual investors over time relative to a market index. Generation of the performance index includes generating a composite portfolio comprising investment positions of each portfolio of each investor of the set of investors.

Abstract: Systems and methods for rating a plurality of investment positions are described. The rating comprises identifying a set of investors corresponding to each investment position of a plurality of investment positions. An investor is one who owns the investment position. The rating comprises, for each set of investors, generating a rank score for each investor, the rank score categorizing the investors for a time period of a plurality of time periods. The rating comprises, for each set of investors, generating an average rank score for the period of time. The rating comprises, for each set of investors, generating a trailing rank score by averaging the rank scores across the plurality of periods of time. The rating comprises generating a stock rating score for each investment position by combining the average rank score and the trailing rank score of the set of investors corresponding to the investment position.

Abstract: Systems and methods for ranking an investor are described. An investor is one buying an investment position. The ranking comprises generating a skill score for each investor of a plurality of investors, where the skill score represents an Information Ratio (IR) of the investor. The ranking comprises generating a persistence score for each investor of the plurality of investors such that the persistence score represents skill of the investor relative to a benchmark. The ranking comprises generating a confidence score for each investor of the plurality of investors. The confidence score represents an investment win percentage relative to an investment loss percentage. The ranking comprises generating a rank score for each investor by combining the skill score, the persistence score and the confidence score. The rank score categorizes the investor relative to other investors based upon historical investment data and real-time brokerage account data.

Abstract: Systems and methods are described for gathering investment information of peers and/or other trusted sources and making the investment information and analysis available on a real-time basis. These systems and methods provide investment information and advisory services for individual members generated through peer research, real-time portfolio and trading sharing. Individual member account data is consolidated from a variety of data sources, and members are allowed to share the aggregate data set for the purposes of providing real-time information, insights, and investment recommendations to peers based upon individual performance, real-time trading activity, and summary member data.

Abstract: Systems and methods are described for gathering investment information of peers and/or other trusted sources and making the investment information and analysis available on a real-time basis. These systems and methods provide investment information and advisory services for individual members generated through peer research, real-time portfolio and trading sharing. Individual member account data is consolidated from a variety of data sources, and members are allowed to share the aggregate data set for the purposes of providing real-time information, insights, and investment recommendations to peers based upon individual performance, real-time trading activity, and summary member data.

Abstract: Systems and methods are described for gathering investment information of peers and/or other trusted sources and making the investment information and analysis available on a real-time basis. These systems and methods provide investment information and advisory services for individual members generated through peer research, real-time portfolio and trading sharing. Individual member account data is consolidated from a variety of data sources, and members are allowed to share the aggregate data set for the purposes of providing real-time information, insights, and investment recommendations to peers based upon individual performance, real-time trading activity, and summary member data.