Abstract:
The example methods and systems described herein provide for configuration of one or more trade order parameters to associate with one or more trade orders, where the trade orders may be submitted to one or more electronic exchanges. According to an example embodiment, rather than having the trader manually configure each individual parameter associated with each trade order, a trader can pre-configure customer and order parameters. A user, for example a trader, broker, or market maker, can configure trade order parameters to associate with one or more customers, one or more order types, and/or internal messages to associate with any of the configured customers or orders. Based on the selected customer and tradeable object, the trading system evaluates the pre-configured customer and associated order parameters and determines which trade order parameters best match. The trading system then dynamically populates the order entry window with the specific trade order parameters associated with the best match.
Abstract:
The example methods and systems described herein provide for configuration of one or more trade order parameters to associate with one or more trade orders, where the trade orders may be submitted to one or more electronic exchanges. According to an example embodiment, rather than having the trader manually configure each individual parameter associated with each trade order, a trader can pre-configure customer and order parameters. A user, for example a trader, broker, or market maker, can configure trade order parameters to associate with one or more customers, one or more order types, and/or internal messages to associate with any of the configured customers or orders. Based on the selected customer and tradeable object, the trading system evaluates the pre-configured customer and associated order parameters and determines which trade order parameters best match. The trading system then dynamically populates the order entry window with the specific trade order parameters associated with the best match.
Abstract:
The example methods and systems described herein provide for configuration of one or more trade order parameters to associate with one or more trade orders, where the trade orders may be submitted to one or more electronic exchanges. According to an example embodiment, rather than having the trader manually configure each individual parameter associated with each trade order, a trader can pre-configure customer and order parameters. A user, for example a trader, broker, or market maker, can configure trade order parameters to associate with one or more customers, one or more order types, and/or internal messages to associate with any of the configured customers or orders. Based on the selected customer and tradeable object, the trading system evaluates the pre-configured customer and associated order parameters and determines which trade order parameters best match. The trading system then dynamically populates the order entry window with the specific trade order parameters associated with the best match.
Abstract:
A system and method are provided to intelligently limit the frequency at which automated or semi-automated trading tools move or re-price orders in an exchange order book. A tolerance may be input that limits when one or more orders in the exchange order book are moved from one price to another. The system and method assist in reducing the number of orders that are entered into the system which can lead to reduced exchange transaction fees, lost queue position, and reduce network bandwidth consumption.
Abstract:
The example methods and systems described herein provide for configuration of one or more trade order parameters to associate with one or more trade orders, where the trade orders may be submitted to one or more electronic exchanges. According to an example embodiment, rather than having the trader manually configure each individual parameter associated with each trade order, a trader can pre-configure customer and order parameters. A user, for example a trader, broker, or market maker, can configure trade order parameters to associate with one or more customers, one or more order types, and/or internal messages to associate with any of the configured customers or orders. Based on the selected customer and tradeable object, the trading system evaluates the pre-configured customer and associated order parameters and determines which trade order parameters best match. The trading system then dynamically populates the order entry window with the specific trade order parameters associated with the best match.
Abstract:
The example methods and systems described herein provide for configuration of one or more trade order parameters to associate with one or more trade orders, where the trade orders may be submitted to one or more electronic exchanges. According to an example embodiment, rather than having the trader manually configure each individual parameter associated with each trade order, a trader can pre-configure customer and order parameters. A user, for example a trader, broker, or market maker, can configure trade order parameters to associate with one or more customers, one or more order types, and/or internal messages to associate with any of the configured customers or orders. Based on the selected customer and tradeable object, the trading system evaluates the pre-configured customer and associated order parameters and determines which trade order parameters best match. The trading system then dynamically populates the order entry window with the specific trade order parameters associated with the best match.
Abstract:
The example methods and systems described herein provide for configuration of one or more trade order parameters to associate with one or more trade orders, where the trade orders may be submitted to one or more electronic exchanges. According to an example embodiment, rather than having the trader manually configure each individual parameter associated with each trade order, a trader can pre-configure customer and order parameters. A user, for example a trader, broker, or market maker, can configure trade order parameters to associate with one or more customers, one or more order types, and/or internal messages to associate with any of the configured customers or orders. Based on the selected customer and tradeable object, the trading system evaluates the pre-configured customer and associated order parameters and determines which trade order parameters best match. The trading system then dynamically populates the order entry window with the specific trade order parameters associated with the best match.
Abstract:
A system and method are provided to intelligently limit the frequency at which automated or semi-automated trading tools move or re-price orders in an exchange order book. A tolerance may be input that limits when one or more orders in the exchange order book are moved from one price to another. The system and method assist in reducing the number of orders that are entered into the system which can lead to reduced exchange transaction fees, lost queue position, and reduce network bandwidth consumption.