Abstract: Systems and methods for pre-processing data to facilitate efficient and accurate machine learning are provided. The data may include market data. The pre-processing may include partitioning the data into windows assigning categories to windows generate a series of vectors. The series of vectors then being input into a computer system that executes a machine learning algorithm to efficiently train a neural network used to identify structure or patterns therein.

Abstract: The disclosed systems and methods relate to allowing trading of over the counter (“OTC”) foreign exchange (“FX”) contracts on a centralized matching and clearing mechanism, such as that of the Chicago Mercantile Exchange's (“CME”'s) futures exchange system (the “Exchange”). The disclosed systems and methods allow for anonymous transactions, centralized clearing, efficient settlement and the provision of risk management/credit screening mechanisms to lower risk, reduce transaction costs and improve the liquidity in the FX market place. In particular, the disclosed embodiments increase speed of execution facilitating growing demand for algorithmic trading, increased price transparency, lower cost of trading, customer to customer trading, and automated asset allocations, recurring trades as well as clearing and settlement efficiencies.

Abstract: Systems and methods for pre-processing data to facilitate efficient and accurate machine learning are provided. The data may include market data. The pre-processing may include partitioning the data into windows assigning categories to windows generate a series of vectors. The series of vectors then being input into a computer system that executes a machine learning algorithm to efficiently train a neural network used to identify structure or patterns therein.

Abstract: The disclosed systems and methods relate to allowing trading of over the counter (“OTC”) foreign exchange (“FX”) contracts on a centralized matching and clearing mechanism, such as that of the Chicago Mercantile Exchange's (“CME”'s) futures exchange system (the “Exchange”). The disclosed systems and methods allow for anonymous transactions, centralized clearing, efficient settlement and the provision of risk management/credit screening mechanisms to lower risk, reduce transaction costs and improve the liquidity in the FX market place. In particular, the disclosed embodiments increase speed of execution facilitating growing demand for algorithmic trading, increased price transparency, lower cost of trading, customer to customer trading, and automated asset allocations, recurring trades as well as clearing and settlement efficiencies.

Abstract: The disclosed systems and methods relate to allowing trading of over the counter (“OTC”) foreign exchange (“FX”) contracts on a centralized matching and clearing mechanism, such as that of the Chicago Mercantile Exchange's (“CME”'s) futures exchange system (the “Exchange”). The disclosed systems and methods allow for anonymous transactions, centralized clearing, efficient settlement and the provision of risk management/credit screening mechanisms to lower risk, reduce transaction costs and improve the liquidity in the FX market place. In particular, the disclosed embodiments increase speed of execution facilitating growing demand for algorithmic trading, increased price transparency, lower cost of trading, customer to customer trading, and automated asset allocations, recurring trades as well as clearing and settlement efficiencies.

Abstract: Systems and methods are provided for processing and distributing market data. Critical data, such as data showing that a market price has changed is distributed without further delay. When the market data does not result in a change in a market price or does not meet another critical criteria, the market data is aggregated with market data for similar events and distributed when the aggregated market data passes a quantity threshold.

Abstract: The disclosed systems and methods relate to allowing trading of over the counter (“OTC”) foreign exchange (“FX”) contracts on a centralized matching and clearing mechanism, such as that of the Chicago Mercantile Exchange's (“CME”'s) futures exchange system (the “Exchange”). The disclosed systems and methods allow for anonymous transactions, centralized clearing, efficient settlement and the provision of risk management/credit screening mechanisms to lower risk, reduce transaction costs and improve the liquidity in the FX market place. In particular, the disclosed embodiments increase speed of execution facilitating growing demand for algorithmic trading, increased price transparency, lower cost of trading, customer to customer trading, and automated asset allocations, recurring trades as well as clearing and settlement efficiencies.

Abstract: The disclosed embodiments relate to implementation, such as by a message processing system architecture, of a message handling system and/or protocol which mitigates optimistic messaging behavior. As used herein optimistic messaging behavior may at least refer to the transmission, in whole or in part, of a message, or of one or more messages of a sequence thereof, to a receiving system, such as the system implemented by the disclosed embodiments, prior to the sender determining that the message(s) is/are desired, alone or in conjunction with subsequently canceling or otherwise invalidating the message(s) once it has been determined that it is not desired. The disclosed embodiments mitigate such behavior by detecting and taking action with respect to these types of messages to deter optimizing behavior which may or may not be manipulative, while maintaining reliable message handling under increasing processing loads with minimal impact on users being able to send messages to the system.

Abstract: Systems and methods for controlling use of a credit pool in connection with electronic trading in a plurality of product groups via a set of match engines are described. Credit data indicative of a current magnitude of the credit pool is obtained. A plurality of allocations of the credit pool are determined, based on the credit pool, across the plurality of product groups. For each allocation of the plurality of allocations, allocation data indicative of the allocation is provided to a respective credit controller of a set of credit controllers. The respective credit controller is disposed at a respective match engine to which a respective product group of the plurality of product groups is assigned. The use of the credit pool for an incoming order in a respective product group is thus limited in accordance with the allocation data provided to the credit controller at the respective match engine.

Abstract: Systems and methods are provided for processing and distributing market data. Critical data, such as data showing that a market price has changed is distributed without further delay. When the market data does not result in a change in a market price or does not meet another critical criteria, the market data is aggregated with market data for similar events and distributed when the aggregated market data passes a quantity threshold.

Abstract: Systems and methods for controlling use of a credit pool in connection with electronic trading in a plurality of product groups via a set of match engines are described. Credit data indicative of a current magnitude of the credit pool is obtained. A plurality of allocations of the credit pool are determined, based on the credit pool, across the plurality of product groups. For each allocation of the plurality of allocations, allocation data indicative of the allocation is provided to a respective credit controller of a set of credit controllers. The respective credit controller is disposed at a respective match engine to which a respective product group of the plurality of product groups is assigned. The use of the credit pool for an incoming order in a respective product group is thus limited in accordance with the allocation data provided to the credit controller at the respective match engine.

Abstract: The disclosed embodiments relate to implementation, such as by a message processing system architecture, of a message handling system and/or protocol which mitigates optimistic messaging behavior. Optimistic messaging behavior may at least refer to the transmission, in whole or in part, of a message, or of one or more messages of a sequence thereof, to a receiving system, such as the system implemented by the disclosed embodiments, prior to the sender determining that the message(s) is/are desired, alone or in conjunction with subsequently canceling or otherwise invalidating the message(s) once it has been determined that it is not desired. The disclosed embodiments mitigate such behavior by detecting and taking action with respect to these types of messages to deter optimizing behavior which may or may not be manipulative, while maintaining reliable message handling under increasing processing loads with minimal impact on users being able to send messages to the system.

Abstract: The disclosed systems and methods relate to allowing trading of over the counter (“OTC”) foreign exchange (“FX”) contracts on a centralized matching and clearing mechanism, such as that of the Chicago Mercantile Exchange's (“CME”'s) futures exchange system (the “Exchange”). The disclosed systems and methods allow for anonymous transactions, centralized clearing, efficient settlement and the provision of risk management/credit screening mechanisms to lower risk, reduce transaction costs and improve the liquidity in the FX market place. In particular, the disclosed embodiments increase speed of execution facilitating growing demand for algorithmic trading, increased price transparency, lower cost of trading, customer to customer trading, and automated asset allocations, recurring trades as well as clearing and settlement efficiencies.

Abstract: The disclosed systems and methods relate to allowing trading of over the counter (“OTC”) foreign exchange (“FX”) contracts on a centralized matching and clearing mechanism, such as that of the Chicago Mercantile Exchange's (“CME”'s) futures exchange system (the “Exchange”). The disclosed systems and methods allow for anonymous transactions, centralized clearing, efficient settlement and the provision of risk management/credit screening mechanisms to lower risk, reduce transaction costs and improve the liquidity in the FX market place. In particular, the disclosed embodiments increase speed of execution facilitating growing demand for algorithmic trading, increased price transparency, lower cost of trading, customer to customer trading, and automated asset allocations, recurring trades as well as clearing and settlement efficiencies.

Abstract: The disclosed systems and methods relate to allowing trading of over the counter (“OTC”) foreign exchange (“FX”) contracts on a centralized matching and clearing mechanism, such as that of the Chicago Mercantile Exchange's (“CME”' s) futures exchange system (the “Exchange”). The disclosed systems and methods allow for anonymous transactions, centralized clearing, efficient settlement and the provision of risk management/credit screening mechanisms to lower risk, reduce transaction costs and improve the liquidity in the FX market place. In particular, the disclosed embodiments increase speed of execution facilitating growing demand for algorithmic trading, increased price transparency, lower cost of trading, customer to customer trading, and automated asset allocations, recurring trades as well as clearing and settlement efficiencies.

Abstract: The disclosed systems and methods relate to allowing trading of over the counter (“OTC”) foreign exchange (“FX”) contracts on a centralized matching and clearing mechanism, such as that of the Chicago Mercantile Exchange's (“CME”'s) futures exchange system (the “Exchange”). The disclosed systems and methods allow for anonymous transactions, centralized clearing, efficient settlement and the provision of risk management/credit screening mechanisms to lower risk, reduce transaction costs and improve the liquidity in the FX market place. In particular, the disclosed embodiments increase speed of execution facilitating growing demand for algorithmic trading, increased price transparency, lower cost of trading, customer to customer trading, and automated asset allocations, recurring trades as well as clearing and settlement efficiencies.

Abstract: Systems and methods are provided for message transmission timing optimization. The system receives a large market disrupting transaction and provides a transaction placement strategy that splits up the transaction to maximizes favorable execution value and minimizes time required to execute the entire transaction.

Abstract: Systems and methods are provided for processing and distributing market data. Critical data, such as data showing that a market price has changed is distributed without further delay. When the market data does not result in a change in a market price or does not meet another critical criteria, the market data is aggregated with market data for similar events and distributed when the aggregated market data passes a quantity threshold.

Abstract: Systems and methods are provided for message transmission timing optimization. The system receives a large market disrupting transaction and provides a transaction placement strategy that splits up the transaction to maximizes favorable execution value and minimizes time required to execute the entire transaction.

Abstract: Systems and methods are provided for processing and distributing market data. Critical data, such as data showing that a market price has changed is distributed without further delay. When the market data does not result in a change in a market price or does not meet another critical criteria, the market data is aggregated with market data for similar events and distributed when the aggregated market data passes a quantity threshold.