Abstract: Systems, methods, and non-transitory, computer-readable storage media are disclosed herein for a processing platform that dynamically generates representative values and persistent data structures using cached temporary data structures. A mixed data input is retrieved for which each entry in the data has a corresponding timestamp. Depending on a predetermined time window within which the corresponding timestamp of a most recent entry of either primary input data or secondary input data to the mixed data input falls, particular caching operations resulting in temporary checkpoint data structures are performed to generate a representative value. The temporary checkpoint data structures are merged into a persistent data structure and stored, along with the representative value, in an output database.

Abstract: A computer-implemented method for performing a digital currency escrow swap on a network of nodes is disclosed. The method includes placing transfer orders through an intermediate node and sending signed transfer order transactions with digital wallets to an escrow swap node. The method further includes performing a transfer-in order finishing operation by requesting a transfer of digital currency to the escrow swap node and receiving the digital currency via the transfer-in node. For each sell order, digital securities are transferred to the escrow swap node via the transfer-out node. The digital securities are sent from the escrow swap node. For each transfer-out order, the digital currency is sent to the transfer-out node. The method includes an analogous operation to finish a transfer-out order.

Abstract: Systems, methods, and non-transitory, computer-readable storage media are disclosed herein for a processing platform that generates one or more representative values for an entity using one or more representative value machine learning models. A mixed data input is retrieved for which each entry in the data has a corresponding timestamp. A particular category of a data type feature and a time window feature is assigned to each entry. The mixed data input is then input into one or more representative value machine learning models trained to generate the one or more representative values based on weights and patterns associated with retrieved data.

Abstract: A graphical chart indicating values for different types of shares of an entity are described. A server can provide data representing price per share and equity values for a graphical chart. A selected equity value for the business enterprise can be received and values of different types of shares at that selected equity value can be determined. Data indicating the values of the different shares can then be provided for display upon the graphical chart.

Abstract: A method for performing a token escrow swap on a network of nodes is disclosed. The method includes sending a signed buy order transaction with a first cryptocurrency wallet from a buyer node to a token escrow swap node and filling a buy order of the signed buy order transaction with currency tokens for the token escrow swap node via the buyer node. For each matching sell order, security tokens are transferred to the token escrow swap node via a seller node. The method further includes sending the security tokens to the buyer node and sending the currency tokens to the seller node for each matching sell order.

Abstract: A computer-implemented method for performing a digital currency escrow swap on a network of nodes is disclosed. The method includes placing transfer orders through an intermediate node and sending signed transfer order transactions with digital wallets to an escrow swap node. The method further includes performing a transfer-in order finishing operation by requesting a transfer of digital currency to the escrow swap node and receiving the digital currency via the transfer-in node. For each sell order, digital securities are transferred to the escrow swap node via the transfer-out node. The digital securities are sent from the escrow swap node. For each transfer-out order, the digital currency is sent to the transfer-out node. The method includes an analogous operation to finish a transfer-out order.

Abstract: A computer-implemented method for performing a token escrow swap on a network of nodes is disclosed herein. The method includes performing a buy operation including receiving an indication of a buy order placed by a buyer node through a broker-dealer node. The indication of the buy order includes attributes of the buy order. The method further includes creating an unsigned token allowance transaction for the buy order and an unsigned buy order transaction and sending the unsigned token allowance transaction for the buy order and the unsigned buy order transaction to the broker-dealer node. Doing so enables signing the unsigned token allowance transaction for the buy order by the buyer node and signing the unsigned buy order transaction by the broker-dealer node for a token escrow swap node.

Abstract: A graphical chart indicating values for different types of shares of a business enterprise are described. A server can provide data representing price per share and enterprise values for a graphical chart. A selected enterprise value for the business enterprise can be received and values of different types of shares at that selected enterprise value can be determined. Data indicating the values of the different shares can then be provided for display upon the graphical chart.

Abstract: The disclosed embodiments include a computer-implemented method for performing a token escrow swap on a network of nodes. The method includes placing buy/sell orders through a broker-dealer node and sending signed buy/sell order transactions with cryptocurrency wallets to the token escrow swap node. The method further includes performing a buy-order filling operation by requesting a transfer of currency tokens to the token escrow swap node and receiving the currency tokens via the buyer node. For each sell order, security tokens are transferred to the token escrow swap node via the seller node. The security tokens are sent from the token escrow swap node. For each sell order, the currency tokens are sent to the seller node. The method includes an analogous operation to fill a sell order.

Abstract: A graphical chart indicating values for different types of shares of a business enterprise are described. A server can provide data representing price per share and enterprise values for a graphical chart. A selected enterprise value for the business enterprise can be received and values of different types of shares at that selected enterprise value can be determined. Data indicating the values of the different shares can then be provided for display upon the graphical chart.