Abstract: An electronic trading system is configured to trade credit default swap (CDS) futures contracts on an open exchange. The CDS futures contract allows the buyer and seller isolate and trade the credit risk of a third party. The third pay may be a corporation, sovereign government, or any entity that issues bonds or notes. The CDS futures contract seller effectively pays the premium over time in increments determined by market rates and through the natural operation of the open market. The CDS futures contract buyer makes a contingency payment if the CDS futures contract goes in-the-money (ITM). Both sides of the contract are guaranteed by the exchange as a counterparty.

Abstract: Methods and systems for maintaining a distributed ledger and/or blockchain of transactions and/or events pertaining to autonomous vehicles and/or smart contracts. An enforcement server may receive indications of transactions and/or events generated by one or more autonomous vehicles. The transactions and/or events may include information relating to a trigger condition and/or a decision condition associated with one or more smart contracts. The enforcement server may route the transaction to the appropriate smart contract to determine whether a trigger condition has been satisfied. When a trigger condition is satisfied, the enforcement server may automatically perform an action to enforce the smart contract and/or update the distributed ledger.

Abstract: Methods and systems for maintaining a distributed ledger and/or blockchain of transactions and/or events pertaining to autonomous vehicles and/or smart contracts are provided. One or more processors may monitor one or more sensors associated with an autonomous vehicle. Based upon the outputs of the sensors, a change in condition of the autonomous vehicle may be detected. The condition may relate to operation, or an operational state of the vehicle and/or a condition associated with a smart contract. The processors may generate a transaction describing the detected change in the condition of the vehicle. The transaction may be transmitted to an enforcement server. As a result, an up-to-date ledger of autonomous vehicle and/or smart contract transactions and/or events may be maintained.

Abstract: The disclosed embodiments relate to implementation of a trading system, which may also be referred to as a trading system architecture, having improved performance which further assures transactional determinism under increasing processing transaction loads while providing improved trading opportunities, fault tolerance, low latency processing, high volume capacity, risk mitigation and market protections with minimal impact, as well as improved and equitable access to information and opportunities.

Abstract: Techniques for displaying market depth information for a financial instrument including a plurality of bid and ask order metrics at corresponding prices. A graphical representation of the market depth information, with axes corresponding to order metrics and price, is aligned with an expected profile, including an expected metric corresponding to one or more metrics including, for example, bid and ask order volume, order count, or order consideration, generated based on the market depth information. The graphical representation of the market depth information and the expected profile are displayed using a display device.

Abstract: A system, method, apparatus, and computer program product for interactively broadcasting value via a sound, a Wi-Fi, a Bluetooth, an email, a messaging, an RFID, or an NFC to incentivize direct consumer engagement. The system produces verifiable data on customer preferences, habits, and purchasing while using secure digital cryptographic technology to convey an item of value. The system is configured to transact a digital token normally carried on a blockchain leger in an off-ledger condition. The digital token is embedded with a media content. A mobile computing device having a representation of a digital wallet is configured to detect the digital token, decode the digital token and is transfer the digital token back to the blockchain ledger. When validated by the blockchain ledger, the digital token is transacted to a digital wallet on the blockchain ledger.

Abstract: In some implementations, a printing system may include a card printer that includes a printing controller and a marking device. The card printer may be configured to receive a first printing instruction or a second printing instruction associated with printing an account identifier on a card. The card printer may receive one of the first printing instruction or the second printing instruction based on whether a risk score, associated with the account identifier, satisfies a threshold. The card printer may print a full account identifier, associated with the card, on a surface of the card based on receiving the first printing instruction. The card printer may print the card without the full account identifier on the surface of the card based on receiving the second printing instruction.

Abstract: Techniques for displaying market depth information for a financial instrument including a plurality of bid and ask order metrics at corresponding prices of the market instrument and associated time information. A graphical representation of the market depth information, with axes corresponding to time and price, is aligned with color gradients corresponding to one or more metrics including, for example, bid and ask order volume, order count, or order consideration, generated based on the market depth information. The graphical representation of the market depth information and the color gradients are displayed using a display device.

Abstract: The disclosed embodiments relate to implementation of a trading system, which may also be referred to as a trading system architecture, having improved performance which further assures transactional determinism under increasing processing transaction loads while providing improved trading opportunities, fault tolerance, low latency processing, high volume capacity, risk mitigation and market protections with minimal impact, as well as improved and equitable access to information and opportunities.

Abstract: A plurality of bank identification number (BIN) ranges are characterized according to credit risk. A list of the plurality of bank identification number (BIN) ranges characterized by credit risk is made available to a transit-specific payment network interface processor, which is coupled to a plurality of memory-constrained fare gates of a transit authority. The list is configured to be distributed to the memory-constrained fare gates of the transit authority. Advantageously, the list based on BIN ranges takes up less memory than a list based on individual account numbers or the like and can be maintained in memory at the memory-constrained fare gates for rapid decisioning.

Abstract: Internet software as a service (SaaS) platform and methodology for generating targeted bond recommendations to institutional fixed income investors that are customized to each buying institution's unique investment strategy, and provides selling institutions with demand information on each cusip they need to sell. The methodology incorporates sophisticated machine learning algorithms, decision trees, and clustering techniques from data science that quantify similarity between bonds. The system can then effectively utilize the calculated bond similarity to make targeted bond and market color recommendations, optimize bond search tools, and provide much needed intelligence into the antiquated search tools currently used in bond markets. The system will reduce or eliminate tedious and time consuming search tasks for bond buyers, and provide bond sellers with valuable pre-trade information, transparency, and a means of connecting with the highest demand in the market on positions they need to sell.

Abstract: The AI-Based Real-Time Prediction Engine Apparatuses, Methods and Systems (“AIRTPE”) transforms machine learning training input, order placement input inputs via AIRTPE components into machine learning training output, order placement output, information leakage alert outputs. An order placement datastructure associated with a security identifier is obtained. An order placement allocation for the security identifier is determined. An order placement request datastructure for a first order is sent to a server associated with a first venue. A set of trade tick data messages associated with the first venue is obtained. A set of inferred labels is determined for each obtained trade tick data message using a real-time prediction logic generated using a machine learning technique. The inferred labels of a selected inferred label type are grouped into buckets. When it is determined that the grouped inferred labels correspond to execution data generated by the first order, an information leakage alert is generated.

Abstract: Method and system for validating a plurality of policies. For example, a computer-implemented method includes receiving a plurality of policies, each policy of the plurality of policies associated with a policy lifecycle including one or more validation actions, each validation action of the one or more validation actions being associated with an action time; mapping the one or more validation actions associated with each policy of the plurality of policies on a common timeline of a shared clock; and parallelly validating the plurality of policies by at least: moving the shared clock forward in time through a plurality of validation times; and executing the one or more validation actions associated with the plurality of policies at the plurality of validation times.

Abstract: A system is provided for controlling privacy in an exchange of an asset. The system receives an offer query of an offeror that includes an offeror reveal condition, an asset identifier of the asset, and offeror terms of exchange. The system accesses an offeree reveal condition and offeree terms of exchange for the asset. The system determines whether the offeror reveal condition and the offeree reveal condition are satisfied and determines whether the offeror terms of exchange and the offeree terms of exchange are satisfied. When the offeror reveal condition, the offeree reveal condition, the offeror terms of exchange, and the offeree terms of exchange are satisfied, the system reveals the offeror to the offeree and the offeree to the offeror.

Abstract: Systems and methods are disclosed for automated fraud detection and analytics using aggregated payment vehicles and devices, at the individual and/or household level.

Abstract: The disclosed embodiments relate to implementation of a trading system, which may also be referred to as a trading system architecture, having improved performance which further assures transactional determinism under increasing processing transaction loads while providing improved trading opportunities, fault tolerance, low latency processing, high volume capacity, risk mitigation and market protections with minimal impact, as well as improved and equitable access to information and opportunities.

Abstract: A computing system including a processor in communication with a memory device for generating a predicted one or more values of personal property items associated with a candidate user enrolling in an insurance policy may be provided.

Abstract: The invention relates to a computer-implemented system and method for providing an Audit Document Investigation Tool that augments the audit process at various investigation stages. As a critical component of audit technology initiatives, the Audit Document Investigation Tool provides a consistent, efficient workflow to ingest, automatically prioritize and investigate documents, leverageable by any procedure workflow and linkable to platforms for full audit trail and subsequent review.

Abstract: In one aspect, the present invention provides a computing system for effecting an optimised condition for one or more booking requests in a venue having one or more spaces, comprising an allocation module executing on a processor and arranged to retrieve the booking requests from a database containing a plurality of booking requests, the booking requests including requestor constraint information regarding one or more constraints provided by the booking requestor including a predefined service period, and retrieve venue constraint information from a database, the venue constraint information including venue spatial information and furniture spatial information, wherein the allocation module executes an allocation algorithm that utilises the booking information and the venue constraint information to assess the capacity of the one or more venues and allocate a portion of space for each booking request to satisfy the optimised condition utilising the assessment, to derive an optimised allocation instruction set

Abstract: A method of using biometric verification comprises identifying a validation requirement during the execution of a non-voice channel interaction, and initiating a contact to the user, at a pre-registered device. The method further comprises executing a biometric verification of the user's identity and possession of the device, via a user interaction at the pre-registered device, and providing the validation when the user is successfully identified.