Abstract: A method and system for determining investor participation driven stock purchase indices. Raw customer trading data is received from an accounting system. The raw customer trading data is then aggregated to generate daily transaction total counts for all stocks (that is, total shares bought and sold, total market value, etc.) as well as daily transaction total counts for each individual stock. Aggregation of the raw customer data also addresses customer privacy concerns. The aggregated data is processed to produce moving averages, stock purchase indices, and stock rankings. The stock purchase indices are based on a diffusion index technique of segregating buyers from sellers, and with these relative counts, measures the breadth of investor purchasing participation. The stock purchase indices are then displayed to a graphical user interface. The display includes stock buy and sell ranking lists.

Abstract: A method and system for providing a stock purchase index is provided. The system receives raw customer trading data. The raw customer trading data is segregated into buy and sell data per CUSIP to determine a number of buy CUSIP shares, a number of sell CUSIP shares, a total buy CUSIP market value, a total sell CUSIP market value, a total number of buy accounts, and a total number of sell accounts. The sorted data is processed to produce a stock purchase index report, wherein the stock purchase index report is a sell weighted index. The sell weighted index is then displayed in the stock purchase index report.

Abstract: A method and system for providing a stock purchase index is provided. The system receives raw customer trading data. The raw customer trading data is segregated into buy and sell data per CUSIP to determine a number of buy CUSIP shares, a number of sell CUSIP shares, a total buy CUSIP market value, a total sell CUSIP market value, a total number of buy accounts, and a total number of sell accounts. The sorted data is processed to produce a stock purchase index report, wherein the stock purchase index report is a sell weighted index. The sell weighted index is then displayed in the stock purchase index report.

Abstract: A method and system for determining investor participation driven stock purchase indices. Raw customer trading data is received from an accounting system. The raw customer trading data is then aggregated to generate daily transaction total counts for all stocks (that is, total shares bought and sold, total market value, etc.) as well as daily transaction total counts for each individual stock. Aggregation of the raw customer data also addresses customer privacy concerns. The aggregated data is processed to produce moving averages, stock purchase indices, and stock rankings. The stock purchase indices are based on a diffusion index technique of segregating buyers from sellers, and with these relative counts, measures the breadth of investor purchasing participation. The stock purchase indices are then displayed to a graphical user interface. The display includes stock buy and sell ranking lists.

Abstract: A method and system for determining investor participation driven stock purchase indices. Raw customer trading data is received from an accounting system. The raw customer trading data is then aggregated to generate daily transaction total counts for all stocks (that is, total shares bought and sold, total market value, etc.) as well as daily transaction total counts for each individual stock. Aggregation of the raw customer data also addresses customer privacy concerns. The aggregated data is processed to produce moving averages, stock purchase indices, and stock rankings. The stock purchase indices are based on a diffusion index technique of segregating buyers from sellers, and with these relative counts, measures the breadth of investor purchasing participation. The stock purchase indices are then displayed to a graphical user interface. The display includes stock buy and sell ranking lists.

Abstract: A method and system for determining investor participation driven stock purchase indices. Raw customer trading data is received from an accounting system. The raw customer trading data is then aggregated to generate daily transaction total counts for all stocks (that is, total shares bought and sold, total market value, etc.) as well as daily transaction total counts for each individual stock. Aggregation of the raw customer data also addresses customer privacy concerns. The aggregated data is processed to produce moving averages, stock purchase indices, and stock rankings. The stock purchase indices are based on a diffusion index technique of segregating buyers from sellers, and with these relative counts, measures the breadth of investor purchasing participation. The stock purchase indices are then displayed to a graphical user interface. The display includes stock buy and sell ranking lists.

Abstract: A method and system for determining investor participation driven stock purchase indices. Raw customer trading data is received from an accounting system. The raw customer trading data is then aggregated to generate daily transaction total counts for all stocks (that is, total shares bought and sold, total market value, etc.) as well as daily transaction total counts for each individual stock. Aggregation of the raw customer data also addresses customer privacy concerns. The aggregated data is processed to produce moving averages, stock purchase indices, and stock rankings. The stock purchase indices are based on a diffusion index technique of segregating buyers from sellers, and with these relative counts, measures the breadth of investor purchasing participation. The stock purchase indices are then displayed to a graphical user interface. The display includes stock buy and sell ranking lists.

Abstract: A method and system for determining investor participation driven stock purchase indices. Raw customer trading data is received from an accounting system. The raw customer trading data is then aggregated to generate daily transaction total counts for all stocks (that is, total shares bought and sold, total market value, etc.) as well as daily transaction total counts for each individual stock. Aggregation of the raw customer data also addresses customer privacy concerns. The aggregated data is processed to produce moving averages, stock purchase indices, and stock rankings. The stock purchase indices are based on a diffusion index technique of segregating buyers from sellers, and with these relative counts, measures the breadth of investor purchasing participation. The stock purchase indices are then displayed to a graphical user interface. The display includes stock buy and sell ranking lists.

Abstract: A method and system for determining investor participation driven stock purchase indices. Raw customer trading data is received from an accounting system. The raw customer trading data is then aggregated to generate daily transaction total counts for all stocks (that is, total shares bought and sold, total market value, etc.) as well as daily transaction total counts for each individual stock. Aggregation of the raw customer data also addresses customer privacy concerns. The aggregated data is processed to produce moving averages, stock purchase indices, and stock rankings. The stock purchase indices are based on a diffusion index technique of segregating buyers from sellers, and with these relative counts, measures the breadth of investor purchasing participation. The stock purchase indices are then displayed to a graphical user interface. The display includes stock buy and sell ranking lists.

Abstract: A method and system for determining investor participation driven stock purchase indices. Raw customer trading data is received from an accounting system. The raw customer trading data is then aggregated to generate daily transaction total counts for all stocks (that is, total shares bought and sold, total market value, etc.) as well as daily transaction total counts for each individual stock. Aggregation of the raw customer data also addresses customer privacy concerns. The aggregated data is processed to produce moving averages, stock purchase indices, and stock rankings. The stock purchase indices are based on a diffusion index technique of segregating buyers from sellers, and with these relative counts, measures the breadth of investor purchasing participation. The stock purchase indices are then displayed to a graphical user interface. The display includes stock buy and sell ranking lists.

Abstract: A method and system that uses electronic message delivery combined with data collection techniques and data-mining methods to determine and enhance the effectiveness of a given communication and to optimize the target audience of the given communication. One embodiment of the system utilized in practicing the method also includes a means for collecting real-time, synchronized survey audience response data with respect to the videos presented and a data-mining tool for analyzing the data collected and the streaming videos presented. One embodiment of the system includes an audience manager (12), and invitation manager (14), and order manager (16), and a message manager (18). In one embodiment, the message manager (18) includes a testing process (20), a scoring process (22), a ranking process (24), and a response analysis process (26).