Abstract: Systems and methods for improved data conversion and distribution are provided. A data subscription unit is configured to receive data and information from a plurality of data source devices. The data subscription unit is in communication with a virtual machine that includes backtesting utility configured to generate backtesting data using one or more statistical models and one or more non-statistical models. The backtesting utility may translate the backtesting results into one or more interactive visuals, and generate a graphical user interface (GUI) for displaying the backtesting results and the one or more interactive visuals on a user device. The backtesting utility may update one or more of the displayed backtesting results and the one or more interactive visuals without re-running the modeling steps.

Abstract: Provided herein are devices, systems, methods and various means, including those related to providing a community internet drive that may utilize a centrally-managed hub as well as storage devices distributed among various networked machines. In some embodiments, the community internet drive can also include features to enable its users to promote and utilize the user's trusted personal relationships while also enabling an open platform for peer-to-peer and/or other types of sharing schemes.

Abstract: Systems and methods for improved data conversion and distribution are provided. A data subscription unit is configured to receive data and information from a plurality of data source devices. The data subscription unit is in communication with a virtual machine that includes backtesting utility configured to generate backtesting data using one or more statistical models and one or more non-statistical models. The backtesting utility may translate the backtesting results into one or more interactive visuals, and generate a graphical user interface (GUI) for displaying the backtesting results and the one or more interactive visuals on a user device. The backtesting utility may update one or more of the displayed backtesting results and the one or more interactive visuals without re-running the modeling steps.

Abstract: The present disclosure generally relates to systems and methods for user authentication and data management. Information involving a user's interactions with an online platform is stored on a user device that is used to access the platform. Such information may include user authentication information, personal information, and an interaction history of events, such as logins, purchases, and checkouts. When providing information to the online platform, the user is given the option of what information to provide and, in some cases, the user may opt to provide tokenized information in lieu of sensitive information that the user would prefer not to share. Also, the user may selectively provide information about his or her interaction history, thereby permitting the online platform to establish a trust level of the user using information from the user device.

Abstract: A method is provided for processing data in a database, wherein the database includes a first table and a second table. Each of the tables have a plurality of rows of data, wherein a key identifies one or more rows of data in the tables. There is a plurality of matching key pairs among the tables. Each key pair includes a key of a first table, and a matching key and a unique row of a second table. In operation, the method involves simultaneously processing row data of key pairs associated with a first row of the second table, and then simultaneously processing row data of key pairs associated with any remaining rows of the second table in sequential row order.

Abstract: A method is provided for batch processing data that is stored in multiple tables and is organized in the tables as a plurality of rows of data and a plurality of columns. Each row is identified by a key, and each column represents a field having a unique field name. The batch processing is performed using batch processing logic. In operation, the batch processing is performed by reading out data from only a portion of a row from each of the tables that is to be used for the batch processing logic by specifying the key of the row from the respective table, and the unique field names in the row of the respective table to be used for the batch processing logic. The remaining portion of the data in the row of the respective table is not read out from the row. Batch processing is then performed on the read out data using the batch processing logic. The batch processed data is then written back into the same row of the respective table that the data was read out from.

Abstract: Systems and methods for improved data conversion and distribution are provided. A data subscription unit is configured to receive data and information from a plurality of data source devices. The data subscription unit is in communication with a virtual machine that includes backtesting utility configured to generate backtesting data using one or more statistical models and one or more non-statistical models. The backtesting utility may translate the backtesting results into one or more interactive visuals, and generate a graphical user interface (GUI) for displaying the backtesting results and the one or more interactive visuals on a user device. The backtesting utility may update one or more of the displayed backtesting results and the one or more interactive visuals without re-running the modeling steps.

Abstract: A batch process operates on structured data in multiple tables, including a first and a second source table, and a first and a second processing table. An additional key is added within each natural key to at least the second source and processing table for identifying a sequence of rows for updating.

Abstract: An automated audit logger for producing a hyperindex visual chronicle of a construction project may include a receiver for receiving a data package including a sensor reading of a portion of a construction site relevant to a construction trade and a set of corresponding sensor metadata. The automated audit logger may also include an audit event creator for storing the sensor reading in an audit event entry of a data warehouse and a linking tool for updating a multi-faceted index of the data warehouse to link one or more members of the set of sensor metadata and a set of audit metadata to the audit event entry. The automated audit logger may also include an interface generator for constructing a user interface for displaying controlled subsets of the audit event entries and for serving the user interface to a user.

Abstract: Systems and methods for improved data conversion and distribution are provided. A data subscription unit is configured to receive data and information from a plurality of data source devices. The data subscription unit is in communication with a virtual machine that includes backtesting utility configured to generate backtesting data using one or more statistical models and one or more non-statistical models. The backtesting utility may translate the backtesting results into one or more interactive visuals, and generate a graphical user interface (GUI) for displaying the backtesting results and the one or more interactive visuals on a user device. The backtesting utility may update one or more of the displayed backtesting results and the one or more interactive visuals without re-running the modeling steps.

Abstract: Provided herein are devices, systems, methods and various means, including those related to providing a community internet drive that may utilize a centrally-managed hub as well as storage devices distributed among various networked machines. In some embodiments, the community internet drive can also include features to enable its users to promote and utilize the user's trusted personal relationships while also enabling an open platform for peer-to-peer and/or other types of sharing schemes.

Abstract: A system, method, device, and platform for processing investment data. One or more user queries are received. Public and private database and resources are searched with defined data structures utilizing the one or more user queries. Unstructured data is searched utilizing the one or more user queries. Unstructured data is searched utilizing the one or more user queries. The unstructured data are searched utilizing the one or more user queries. Portions of the investment data retrieved in response to searching the defined data structures and unstructured data are culled. The investment data is sorted by rating and ranking the investment data.

Abstract: A system, method, device, and platform for monetizing investment data. Electronic devices execute a data application. The data application is configured to capture user data associated with the user. The platform includes a data platform accessible by the electronic devices. The data platform receives one or more user identifications for a user, authenticates the user, receives one or more user queries, retrieves content associated with the one or more user queries including the investment data, displays the content in a continuous display in which the user is enabled to view any of the content generated during a session by zooming, scrolling, or rotating in multiple dimensions, receives revisions to the one or more queries, retrieves revised content associated with the revisions including revisions to the investment data, and displays the revised content in the continuous display and saving the previous content.

Abstract: A system, method, device, and platform for analyzing investment data. One or more identifications for a user are received and authenticated. One or more user queries are received. Content associated with the one or more user queries are retrieved including the investment data. The content is displayed in a continuous display in which the user is enabled to view any of the content generated during a session by zooming, scrolling, or rotating in multiple dimensions. Revisions to the one or more queries are received. Revised content associated with the revisions are retrieved. The revised content is displayed in the continuous display in the previous content is saved.

Abstract: Systems and methods for improved data conversion and distribution are provided. A data subscription unit is configured to receive data and information from a plurality of data source devices. The data subscription unit is in communication with a virtual machine that includes backtesting utility configured to generate backtesting data using one or more statistical models and one or more non-statistical models. The backtesting utility may translate the backtesting results into one or more interactive visuals, and generate a graphical user interface (GUI) for displaying the backtesting results and the one or more interactive visuals on a user device. The backtesting utility may update one or more of the displayed backtesting results and the one or more interactive visuals without re-running the modeling steps.

Abstract: Systems and methods for improved data conversion and distribution are provided. A data subscription unit is configured to receive data and information from a plurality of data source devices. The data subscription unit is in communication with a virtual machine that includes backtesting utility configured to generate backtesting data using one or more statistical models and one or more non-statistical models. The backtesting utility may translate the backtesting results into one or more interactive visuals, and generate a graphical user interface (GUI) for displaying the backtesting results and the one or more interactive visuals on a user device. The backtesting utility may update one or more of the displayed backtesting results and the one or more interactive visuals without re-running the modeling steps.

Abstract: Systems and methods for improved data conversion and distribution are provided. A data subscription unit is configured to receive data and information from a plurality of data source devices. The data subscription unit is in communication with a virtual machine that includes backtesting utility configured to generate backtesting data using one or more statistical models and one or more non-statistical models. The backtesting utility may translate the backtesting results into one or more interactive visuals, and generate a graphical user interface (GUI) for displaying the backtesting results and the one or more interactive visuals on a user device. The backtesting utility may update one or more of the displayed backtesting results and the one or more interactive visuals without re-running the modeling steps.