Abstract: A system for providing coaching includes a system that creates a custom coach to assist a user in achieving one or more goals, such as, e.g., a financial goal. The coach is generated based on one or more traits of the user to increase the likelihood that the user will relate and respond to communications from the coach in a manner that enables the user to achieve his/her goal. The traits used by the system to create the coach can include traits inputted directly by a user. The system also adapts the coaching provided by the coach in response to trends noted by the coaching system as the system is used by the user as well as others.

Abstract: The present embodiments relate to charting multiple markets. In some embodiments, charting multiple markets may include receiving market data for a plurality of tradeable objects. The plurality of tradeable objects may include an anchor object and at least one non-anchor object. The market data may include anchor object price data for the anchor object and non-anchor price data for the at least one non-anchor object. The non-anchor object price data may be converted based on the anchor object price data such that converted non-anchor object price data has a price scale of the anchor object price data. The anchor object price data and the non-anchor object price data may be displayed along a normalized price axis.

Abstract: The disclosed embodiments generally relate to a slicer order quantity reduction tool. An example method for reducing a quantity of a slicer order includes calculating a collective quantity associated with available ones of a plurality of child orders; comparing the collective quantity and a reduction amount received in connection with a quantity reduction request for the slicer order; and determining, when the comparison indicates that the available ones of the child orders have insufficient quantity to meet the reduction amount, whether inflight ones of the plurality of child orders collectively have sufficient quantity to make up a shortfall of the available ones of the child orders.

Abstract: Embodiments of the presently disclosed technology provide systems and methods for catalog integration across distributed systems and interfaces. Such systems and methods may comprise, for example, determining a set of product protection plan offers and a set of shipping protection plan offers to display in a live website associated with the merchant, the live website displaying the first item with a first frame object comprising the set of product protection plan offers and a second frame object comprising the set of shipping protection offers and performing an action. Certain embodiments may further provide, at the integration system, an offers management system that includes a set of connected platforms to manage aspects of the sets of protection plan offers.

Abstract: The financial product transaction management apparatus includes an order information generation unit configured to generate order information as information for conducting trading of the financial product. Here, the order information generation unit includes a profit amount calculation unit configured to calculate, by calculation, a profit amount to be obtained through a transaction of one first order and one second order, for a specific financial product, among first orders each being an order to be traded antecedently and second orders each being an order to be traded subsequently to the corresponding first order, based on profit margin setting information for setting a profit margin as a size of profit to be obtained through the transaction of the one first order and the one second order, and order amount setting information for setting an order amount of the one first order and/or an order amount of the one second order.

Abstract: Data associated a plurality of user interface elements may be retrieved from at least one database associated with a service business, such as a casino. At a first time, a first indication to turn on a first subset of the plurality of user interface elements may be received. The user interface elements may include content management, task management, property management, action management, player profiling, comp management, player development, asset tagging and flagging, profitability and comparative analysis, player insights, floor mapping, campaign management, etc. Each of the first subset of user interface elements may be populated with the respective data associated that user interface element.

Abstract: A trade order may be submitted to an electronic exchange and updated, according to pay-up parameter values, in an attempt to receive a complete fill within a period of time. The trade order may comprise an order price and an order quantity when submitted to the electronic exchange. The pay-up parameters may include a pay-up interval, a pay-up amount, a pay-up counter, or a combination thereof. The price of the trade order may continue to be updated after the expiration of pay-up interval in an attempt to receive a complete fill of the trade order. The price of the trade order may be increased or decreased by the pay-up amount. The trade order may continue to be updated until a complete fill is received, the pay-up counter expires, and/or an ending time expires for which the pay-up parameters may be implemented.

Abstract: Systems and apparatus for processing a trade order include a computer configured for receiving market data for a financial asset, receiving pricing parameters and receiving proposed order quantity and price data. The computer is further configured for constructing proposed trades based on the proposed order quantity and price data, and for calculating a theoretical price for the financial asset based on the market data, pricing parameters as well as the proposed order price data. In addition, the computer is configured for comparing the constructed trades with the theoretical price, and displaying market data indicators relative to the theoretical price indicators based on the comparison.

Abstract: Systems and methods for offering and purchasing tokenized securities on a blockchain platform meeting current and future federal, state, and offering and holding entity rules and regulations. Tokenized securities purchased during or after the tokenized securities offering are tradable on a secondary market. The server computer of the tokenized securities provides an automated transfer capability for tokenized securities holders.

Abstract: In one aspect, a share data allocation (SDA) computing device is provided. The SDA computing device includes at least one processor in communication with a database. The at least one processor is configured to receive direct-share participant (DSP) request data indicating an amount each DSP is willing to invest and receive interest-based participant (IBP) request data indicating an amount each IBP is willing to invest. The at least one processor is also configured to apply a first mapping algorithm to the DSP request data and apply a second mapping algorithm to the IBP request data. The at least one processor is further configured to calculate a preliminary allocation of a total amount of assets among the DSPs and the IBPs according to results of an apportionment, and direct allocation of the total amount of assets among the DSPs and the IBPs according to results of a join operator.

Abstract: Various systems and methods for trade order processing in an electronic trading environment are provided. The order processing includes initiating a first thread of instructions at a computing device to send a first trade order onto an electronic exchange. However, if one or more trade orders are identified during the process to send the first trade order, then the one or more orders are queued. When the first trade order is sent to the electronic exchange, then a second thread of instructions is initiated at the computing device to send the queued one or more trade orders (substantially together, if there is more than one) on to the electronic exchange.

Abstract: In an aspect, an apparatus for resource enhancement is presented. An apparatus includes at least a processor and a memory communicatively connected to the at least a processor. A memory contains instructions configuring at least a processor to generate a host platform. A host platform is configured to receive resource data from a user. At least a processor is configured to compare resource data of a user to a resource enhancement metric. At least a processor is configured to calculate, as a function of a comparison, a resource variability. At least a processor is configured to execute, as a function of a resource variability, a resource enhancement process.

Abstract: A peer-to-peer services marketplace is described. A search query is received from a service buyer. The query is parsed to identify parameters including a category of service wanted and a desired location. An available services database that includes service seller profiles is searched based on the parameters. The system communicates information to the buyer regarding service sellers that match the parameters, including the description of the service, contact information, the location of the service seller, and the location where the service is offered. A selection of one of the service seller sis received from the buyer, and availability information to the buyer is provided. The buyer requests an available time of the seller and that time is reserved to create a service appointment. The seller is notified of the appointment.

Abstract: The present disclosure relates to an apparatus for supporting online shopping. The apparatus comprises an identification unit configured to identify an online price tag of a specific product embedded into a webpage of an exhibitor, an update unit configured to update a selling price exposed to the online price tag according to a result of a reverse auction between sellers for a selling price of the specific product, and a processing unit configured to, when a purchase intent of a purchaser accessing the webpage of the exhibitor is identified from the online price tag, process a procedure of purchasing the specific product based on the updated selling price.

Abstract: A system, method, and non-transitory computer-readable information recording medium allows a user or trader to prepare, and send to an exchange, a trade order using a trading device. The trading device receives market data from an exchange and displays the received market data on a display unit of the trading device. The trading device also receives a trade order instruction via an input device at the trading device and detecting an occurrence of a market update as a function of the received market data within an established trade order time period associated with a time at which the trade order was received. If the occurrence of the market update was detected during the established trade order time period, the execution of the trade order is prevented.

Abstract: A method for high frequency trading is provided, which is performed by one or more processors, and includes calculating a latency for a market order for each of a plurality of candidate batch sizes, selecting a batch size from among the plurality of candidate batch sizes based on the calculated latency, generating input data corresponding to the selected batch size using market data for a target item, using a machine learning model, generating prediction data for the target item at a future time point associated with the selected batch size, based on the generated input data, and generating order data for the target item based on the generated prediction data.

Abstract: There is provided a first network entity, comprising a defining unit configured to define a common communication session comprising a plurality of contexts, wherein the common communication session is common to a plurality of network entities and terminal devices, a preconfiguring unit configured to preconfigure the common communication session by preconfiguring at least one context out of the plurality of contexts to be common for more than one network entity out of the plurality of network entities and for more than one terminal device out of the plurality of terminal devices, a first initiating unit configured to, based on the preconfiguration by the preconfiguring unit, initiate the preconfigured common communication session for at least one network entity out of the more than one network entities, and a triggering unit configured to, based on the initiation by the first initiating unit, trigger to initiate the preconfigured common communication session for at least one terminal device out of the more tha

Abstract: Various embodiments comprise systems, methods, and apparatus for enabling dynamic configuration of devices using encumbered shared spectrum (e.g., CBSDs using CBRS) so as to operate these devices in accordance with a most preferred operator preference of a plurality of operator preferences currently available in view of current wireless operating conditions, such as impacted by overlapping/proximate incumbent or priority users of the shared spectrum, or other changes in spectrum available conditions. Various embodiments further provide for an efficient return of these devices to a most preferred operator preference or steady-state configuration.

Abstract: A method for determining a preimage element of a cryptographic hash function includes providing an output value of a cryptographic hash function and hash function operations of the cryptographic hash function; for each of the hash function operations, determining at least one hash function relation, comprising an equation and/or an inequality; determining an optimization problem comprising: the output value, at least one constraint assigned to an iteration of the cryptographic hash function, and optimization variables comprising internal state variables of the cryptographic hash function and at least one preimage variable, wherein the at least one constraint is determined from the at least one hash function relation and comprises preceding internal state variables assigned to a preceding iteration; and solving the optimization problem and determining a preimage element of the cryptographic hash function from an optimizing value of the at least one preimage variable.

Abstract: A method for facilitating managing connections of a network includes receiving a bidding request comprising a first bid for a connection from a first user device, identifying at least one first bid bidden on the connection, obtaining an information, analyzing the information, determining an availability a capacity of a network device based on the analyzing of the information, analyzing the first bid and the at least one first bid, determining an outbidding of the at least one first user by the first user based on the analyzing of the first bid and the at least one first bid, determining an allowance for the connection for the first user based on the positive availability of the capacity and the determining of the outbidding, configuring the network device for providing the connection to the first user device based on the allowance, and storing the first bid.

Abstract: A system and method are disclosed to generate, transmit, and automate communications with end user systems. Embodiments comprise an automation platform comprising a processor and memory. Embodiments generate a communication based, at least in part, on input from a rules engine and one or more communication templates. Embodiments modify the content of the generated communication and revise the one or more communication templates to include the modifications made to the communication content. Embodiments transmit, using one or more communication channels, the modified communication to one or more end user systems, and automate the generation and transmission of one or more subsequent communications to the one or more end user systems based, at least in part, on the revised one or more communication templates.

Abstract: A system and a method for collecting and using market data. The system includes a workstation, where at least one message is entered, a transmitter, where the at least one message is transmitted, a parser for parsing the at least one message, a data recognizer for identifying relevant information in the at least one message, a processor for extracting the relevant information and a communicator for communicating the relevant information.

Abstract: The invention pertains to optimal scheduling and trading technology for microgrid systems, specifically focusing on a real-time peer-to-peer energy trading method involving time-varying virtual energy storage. This method predicts environmental information within a specified time domain and incorporates historical transaction data into virtual energy storage modeling and real-time energy trading. During the supply and demand energy extraction phase, it quantitatively extracts supply and demand energy and the marginal cost for trading using an autonomous energy management model for prosumers. In the transaction price optimization phase, it optimizes the transaction price based on historical data to maximize prosumers' income. The distributed transaction decision optimization method, utilizing a continuous double auction, enhances transaction matching decisions to maximize prosumers' income and accommodate multi-transaction preference levels.

Abstract: The disclosed embodiments relate to improving the efficiency of an electronic trading system for interest rate swaps (“IRS”) by allowing for IRS contracts to be funded in a base currency while the cash flows, e.g. coupon payments, price alignment interest, variation margin, are denominated in a local currency different from the base currency. Thereby cash flows may be netted and offset minimizing the magnitude of funds needed to be moved and reducing the number of transactions processed by the electronic trading system as well as the consumption of computational resources thereby. Furthermore, the disclosed embodiments facilitate entering into IRS transactions is a currency different from the currency of cash flows while eliminating Herstatt risk due to volatility of foreign exchange rates, which allows for increased off shore participation and thereby increased transaction volume.

Abstract: A heuristic engine includes capabilities to collect an unstructured data set and a current business context to calculate a credit worthiness score. Providing a heuristic algorithm, executing within the engine, with the data set and the context may allow determination of predicted future contexts and recommend subsequent actions, such as assessing a credit risk of a customer transaction and reducing the risk of customer transactions by processing the available data. Such heuristic algorithms may learn from past data transactions and appropriate correlations with events and available data.

Abstract: An automatic bidding system includes a vehicle agent (a computer). A vehicle agent includes a bidding agent (a bidding unit) that places an automatic bid for power trading related to electric power of a user in accordance with an automatic bidding algorithm, and an information collection agent (an information collection unit) that acquires user information indicating a preference of the user. The bidding agent is configured to set a parameter of the automatic bidding algorithm using the user information.

Abstract: An application programming interface (API) call is received to obtain an access data object that includes a permission of an application provider to access a resource of an entity. A previous permission to access a second resource of the entity is identified. As a result of receiving the API call, an access data object is generated to include the permission and the previous permission.

Abstract: An exemplary healthcare services recommender implementation may be configured to recommend selectively redeemable bundled services comprising care for conditions predicted as likely by a machine learning model based on patient data input. The likely conditions may be predicted for a patient or a patient population comprising a plurality of patients. The machine learning model may comprise a neural network trained to determine a probability distribution of patient condition trends for a future time period based on patient data input. The patient data input may comprise data from an Electronic Medical Record (EMR), diagnosis, lab test, patient-provided information such as survey/symptom data, and/or wearable device data. The machine learning model may be trained using a training data set including at least healthcare outcomes sampled during a past time period from a plurality of patient healthcare episodes each comprising a plurality of procedures performed for the patient in at least one encounter.

Abstract: Implementations of various methods and systems of a network, GPS system, mobile computing devices, servers, forward commodity exchanges, grouping software for hubs, transparent open access pricing systems, blockchain audit and safety methods and systems, virtual hub systems, algorithm methods for no arbitrage conditions in a simple easy to use graphical user interface format for mobile or virtual computing over various mediums which are connected via a network to transact and trade transportation seats or capacity units in airline transport, subway transport, train transport, automobile transport, autonomous vehicle transport, taxi transport, space transport, virtual transport, underground transport, ship or sea transport, public transport, private transport or drone transport on a computer, mobile computer device, virtual reality computer device or mixed reality computing device.

Abstract: Provided are systems, methods, and programming for facilitating real-time determination of a process completion likelihood. In some embodiments, data including an update to a system, the update occurring at a first time, wherein updates to the system are permitted until an expiration time may be obtained, a set of fixed descriptors of the system may be retrieved and/or received, and a set of status updates describing the system at prior times may be obtained. Each status update of the set of one or more status updates includes at least (i) an update to the first system and (ii) a time that the respective status update occurred. Based on the data, the fixed descriptors, and the status updates, using a trained machine learning model, a failure/success score indicating a likelihood that, at the expiration time, the system satisfies a threshold condition may be computed and stored in memory.

Abstract: According to one embodiment, a method of generating a display of a limit order book is provided. Data regarding a plurality of limit orders entered onto an electronic market is received and recorded, at least temporarily. The data regarding each limit order includes a price and a time associated with that limit order. Based on the received data, a graphical display is generated that indicates, for each recorded limit order entered into the electronic market within a period of time, the price and the time associated with that limit order. The price associated with each limit order is indicated by a first axis of the graphical display and the time associated with each limit order is indicated by a second axis of the graphical display. The graphical display may be displayed using an electronic display device.

Abstract: A computer implemented method and associated hardware provides optimization of a delivery or settlement process for a group of portfolios. Data records, identified in a portfolio data structure, are indicative of obligations between participants. A graph data structure is generated and includes vertex data records representing the participants and edge data records representing the obligations between participants. The graph structure is analyzed for at least one circular path. A first edge washing out at least a portion of the circular path is identified. An update message is generated in response to the first edge.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving data related to a first flight risk factor and a second flight risk factor where the first and second risk factors include one of: a proficiency risk factor, an equipment risk factor, an environmental risk factor, or a performance risk factor. Applying a first weighting to the first flight risk factor to generate a first weighted flight risk factor, and applying a second weighting to the second flight risk factor to generate a second weighted flight risk factor. Assessing a flight risk level for a flight based on the first weighted flight risk factor and the second weighted flight risk factor. Providing data indicating the assessed flight risk level for the flight for display to a user.

Abstract: A diamond asset comprising one or more diamonds and an encryption chip is used to asset-back a cryptographic token that can be used to conduct transactions. A user device executes an application programming interface configured to access a blockchain that stores a smart contract associated with the cryptographic token backed by the value of the one or more diamonds. When the user device receives an instruction to perform a transaction related to the cryptographic token, the user device causes the encryption chip to sign the smart contract. In response to determining that the smart contract was signed by the encryption chip, the user device causes the transaction to be performed.

Abstract: The present application generally relates to electronic trading systems, and more specifically to systems and methods for electronic trade order routing. Specifically, electronic trade orders may be divided into a first set and a second set. The first set of trade orders are executed with ad hoc execution styles. For the second set, execution style recommendations are generated in a form of a lookup table for the second set of trade orders according to a testing routing strategy. The second set of trade orders are executed with recommended execution styles. A difference between performance metrics among the first set of trade orders and the second set of trade orders is computed. A decision on whether to adopt the recommended execution style is generated based at least in part on the computed difference.

Abstract: An embodiment of the present invention is a local wireless communication system that emits a radio wave in a licensed band to form a wireless communication environment in a predetermined area. The system includes a base station configured to emit a radio wave, a plurality of sensors disposed along an edge of the area, and a control apparatus. The sensors each measure a radio field intensity of the radio wave emitted from the base station, and feed the radio field intensity back to the control apparatus via the base station. The control apparatus controls a transmission power of the radio wave from the base station to control the fed radio field intensity.

Abstract: The demand-side platform (DSP) is a technological ingredient that fits into the larger real-time-bidding (RTB) ecosystem. DSPs enable advertisers to purchase ad impressions from a wide range of ad slots, generally via a second-price auction mechanism. In this aspect, predicting the auction winning price notably enhances the decision for placing the right bid value to win the auction and helps with the advertiser's campaign planning and traffic reallocation between campaigns. This is a difficult task because the observed winning price distribution is biased due to censorship; the DSP only observes the win price in the case of winning the auction. For losing bids, the win price remains censored. In this invention, we generalize the winning price model to incorporate a gradient boosting framework adapted to learn from both observed and censored data. This yields a boost in predictive performance in comparison to classic linear censored regression.

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for generating action recommendations modifying physical emissions sources of an entity based on past and modeled emissions for the entity. Specifically, the disclosed system monitors emissions produced by an entity by determining a number of emissions sources corresponding to an entity and a plurality of emissions values for the emissions sources. Additionally, the disclosed system determines a plurality of constraints corresponding to the entity. The disclosed system also determines goals for the entity including target emissions values. The disclosed system utilizes a modified gradient descent model to iteratively adjust emissions values for the physical emissions sources to obtain the target emissions values according to the constraints.

Abstract: A system, method, and/or apparatus is provided for production processes in which online frequently derived measurements are determined use existing online and/or offline reference measurements and real-time and/or historical data to model process variables and/or product properties to achieve enhanced production goals.

Abstract: In one implementation, a system to provide a secure crossing network for trading digital blockchain assets outside of an exchange can include a crossing network program that is configured to provide a crossing network for the digital blockchain assets and a computer system with a secure enclave that is configured to provide the trusted execution environment within which processing of programs is secure from observation and manipulation by other operations outside of the secure enclave. The execution of the crossing network program in the secure enclave receiving, from client devices, crossing network orders to trade assets within the crossing network; matching at least a portion of the crossing network orders in an order book; obtaining, using a pricing oracle, pricing information for transactions in the exchange; and determining a reference price for the matched orders within the crossing network based on the pricing information from the exchange.

Abstract: Updates to a payment card of the specific card user that will affect subsequent payments to the COF merchants has occurred are detected based on receiving a notification from an issuer processor. In response, payment credentials can be automatically updated with the COF merchants for the specific card user.

Abstract: Systems and methods are provided to increase the rate at which a system can accept and process data transaction request messages. The system includes a pre-processor that filters incoming data transaction request messages prior to transmitting the messages for further processing, for example, by a matching engine. The pre-processor quickly identifies whether a new arriving data transaction request is transactable. If the new arriving data transaction request is not transactable, then the data transaction request will be transmitted and stored in a main data structure and not transmitted to the matching engine.

Abstract: A method and system for order management that allows access to additional pools of liquidity is described. Other embodiments are also described.

Abstract: A system for error detection m a trading network comprises a memory operable to store a plurality of trader profiles, wherein a particular trader profile is associated with a particular trader. The particular trader profile comprises first contact data associated with a first client device and second contact data associated with a second client device. The memory is further operable to store at least one trading order associated with the particular trader. The system further comprises a processor communicatively coupled to the memory and operable to detect an alert associated with the first client device. In conjunction with detecting the alert, the processor is operable to determine a current status of the at least one trading order and to generate a status message regarding the determined status. The processor is further operable to transmit the status message to the second client device, wherein the transmission is based at least in part on the second contact data.

Abstract: A method of displaying a symbol representative of changes in price during a time period, the method includes receiving, for each intra-time period of a plurality of intra-time periods in the time period, intra-time price data including an intra-time open price and an intra-time close price corresponding to the intra-time period, determining, from the received intra-time price data for the plurality of intra-time periods, an open price, which is an intra-time open price of an initial intra-time period of the plurality of intra-time periods, determining a total-above-open-price counter value by determining, for each particular intra-time period of the plurality of intra-time periods, whether the intra-time close price of the particular intra-time period was greater than the open price, so that the total-above-open-price counter value indicates a number of the intra-time periods for which the intra-time close price was greater than the open price, and generating and displaying, the symbol, which illustrates a re

Abstract: A system and method of processing, within a single procedure, cash equivalents and fix assets from any disposition class. The method includes identifying the benefactor and asset to be donation. Once identified, the asset is classified into one of three disposition classes. The disposition classes are used to determine the value for valuing. Once the value is determined, an impact statement is generated. Depending on the disposition class, the item is either converted to funds directly or through an intermediary. Once the item is converted to funds, the funds are transferred to the identified benefactor.

Abstract: Systems and methods are provided for monitoring a plurality of chat messages. Values are extracted from multiple chat messages between a first party and a second party. Context is determined for the values and/or messages. The context is used to determine the relationship between the values, messages, and one or more transactions. Once all values of a transaction are identified, an order ticket is generated.

Abstract: Implementations of various methods and systems to transform socket communication streams combined with vaulted user characteristic data over an advertising trading exchange with price time priority queues.

Abstract: Computer-implemented methods and computer systems for an electronic transaction platform that enables the buying and/or selling of securities.

Abstract: Example embodiments may provide a system, apparatus, computer readable media, and/or method configured for processing input representing data associated with a first product, the first product comprising a plurality of components, processing input representing a particular one of the components, processing input representing an attribute of the particular component or of the first product, querying a product memory based on the particular component and the attribute to identify a second product.