Abstract: A system and associated methods are provided for intelligent placement and movement of orders in an electronic trading environment. According to one example method, in addition to submitting a leg order at a calculated price level, additional orders, queue holder orders, are submitted for the leg order at prices either below or above the calculated price level. Based on this configuration, if the conditions change such that it is necessary to re-price the leg order, there will be already an order resting in the exchange order book at the re-calculated price that can be used in the strategy. Upon re-pricing the leg order, one or more additional queue holder orders will be placed in the market. Other tools are provided as well.

Abstract: A system and associated methods are provided for intelligent placement and movement of orders in an electronic trading environment. According to one example method, in addition to submitting a leg order at a calculated price level, additional orders, queue holder orders, are submitted for the leg order at prices either below or above the calculated price level. Based on this configuration, if the conditions change such that it is necessary to re-price the leg order, there will be already an order resting in the exchange order book at the re-calculated price that can be used in the strategy. Upon re-pricing the leg order, one or more additional queue holder orders will be placed in the market. Other tools are provided as well.

Abstract: System and method for aggressively trading a spread trading strategy in an electronic environment are provided herein. According to the example embodiments, a trader may configure the automated trading tool to trade as aggressively as possible by leaning on a price without an associated quantity. This allows a trader to possibly obtain a more profitable price as well as get filled faster. Traders submit an order for a spread and the automated trading tool calculates the quote order price based on a defined level of aggressiveness, the leaned on price, and the desired spread price. Based on the level of defined aggressiveness and the gap in the market, the automated trading tool may lean on a mildly, moderately, or extremely aggressive price.

Abstract: A system and method for providing a linear spread in an electronic trading environment are described. According to one example embodiment, a trading system can receive market information associated to a trading strategy, known as a spread. The trader may also define a market volatility parameter to utilize in the calculation of a linear spread price axis. The received market information and a divide spread algorithm are also used to determine the linear spread price axis. The trading application determines a linear spread price axis, at which price levels are separated by consistent linear tick increments. The linear spread price axis allows for more efficient and effective trading in the electronic trading environment especially when certain tradeable objects are traded or when certain spread algorithms, like the divide spread algorithm, are utilized.

Abstract: A system and method for defining and processing timed orders are defined. According to one embodiment, a trader may define a timed order by defining an intra-day time trigger or a time period when the timed order should be automatically modified, such as deleted or cancelled/replaced with a new order. In one embodiment, the intra-day time trigger or time period may be dynamically changed to a later time, for example, upon receiving a predetermined user input. Also, the time trigger and time period may be configured to dynamically vary based on any user configurable formula. Also, the timed order may be associated with one or more actions to be taken once the order is deleted, such as sending a new order, for example.

Abstract: A system and method for defining and processing timed orders are defined. According to one embodiment, a trader may define a timed order by defining an intra-day time trigger or a time period when the timed order should be automatically modified, such as deleted or cancelled/replaced with a new order. In one embodiment, the intra-day time trigger or time period may be dynamically changed to a later time, for example, upon receiving a predetermined user input. Also, the time trigger and time period may be configured to dynamically vary based on any user configurable formula. Also, the timed order may be associated with one or more actions to be taken once the order is deleted, such as sending a new order, for example.

Abstract: A system and methods for dynamically changing a trade order quantity in an electronic trading environment are described herein. According to one example embodiment, an automated trading tool determines if a leaned on quantity of a trading strategy has increased or decreased and if so, dynamically changing a desired order quantity to reflect the change in the leaned on quantity. Dynamically changing an order quantity may be more profitable for a trader as order queue position may be maintained and portion of the desired order quantity may get filled; rather than a trader losing their order queue position and/or taking a chance of not getting any of their order quantity filled.

Abstract: Market data is recorded from a real live exchange. The recording data can be played back in real time or delayed, in any manner, to simulate the recorded market. Moreover, one or more users can participate in the simulated market just as if they were participating in a real-live market. The system provides a realistic trading environment without the associated risks of trading in a live-market such as losing money and the cost of making trades. The system may be used for training purposes and for purposes of testing and analyzing various trading strategies. Software developers and testers may also the realistic environment to develop trading products or applications. Additionally, the system provides a means for demonstrating trading application products.