Trading Technologies International, Inc.

Gasmart, LLC

Sagy Pundak Mintz

Alexander D Deitz

Michael J Burns

Eric M Herz

Jens-Uwe Schluetter

David W Garrison

Robert A West

Stephen J Murphy

Ryan N Andrews

Michael L Fishbain

Nicholas G Kontos

Alexander D Dietz

Brian James Buck

Thomas A Peterson

Christos Kondilis

Scott F Singer

Richard Lane

Michael Unetich

Thomas Jeffrey Weiss

Jyoti Chawla

Thurston Woo

Jason Shaffer

Harris C Brumfield

Gary Allan Kemp, Ii

Stephan Brianti

Gary Allan Kemp

Robert A Miller

William K Ward

William F Kerins

Luis R Luque

Parker P Drew

Joseph H LeBlanc, Jr

Nick DiCosola

Leo E Murphy

Patricia A Messina

Thomas R Zagara

Gary Allen Kemp, Ii

James V Blanton

Gary Alan Kemp

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.

System and method for aggressively trading a strategy in an electronic trading environment

Various systems and methods are described herein for a risk check. The risk check bases a decision to allow a trading strategy to proceed on whether the order quantity for each leg of the trading strategy satisfies a certain condition. Particularly, when a trading strategy is initiated, the quantity for each of the orders to be submitted on behalf of the trading strategy, including the quantity of the initial order and any subsequent orders, is then compared to a corresponding risk value. If the order quantity for each of the orders is less than the corresponding risk value, then the trading strategy can proceed and the initial order can be sent on to the exchange. However, if the order quantity for any of the orders exceeds the risk value, then the initial order is not sent to the electronic exchange. Additionally, as described herein, quantity associated with the trading strategy is held or reserved for execution of the trading strategy regardless of the activity taken by the trader since the trading strategy was initiated. The reserved quantity can be drawn from the trading strategy until the quantity is depleted, the trading strategy has ended, or both, for example.

System and method for a risk check

A system and methods are provided for using order descriptor identifiers in relation to orders being used in trading strategies. According to one example method, when a hedge order is submitted upon detecting a fill of another order, the hedge order includes one or more order descriptor identifiers conveying a purpose of the hedge order to a user. The order descriptor identifiers can be used to search for desired orders and perform more effective order management and post trade analysis.

System and method for management and analysis of electronic trade orders

Certain embodiments of the present invention provide techniques for lean level support for a trading strategy. According to certain embodiments, the support for a price level under consideration as a lean level is determined based at least in part on quantity available at the price level. According to certain embodiments, the support for a price level under consideration as a lean level is determined based at least in part on quantity available at one or more other price levels. According to certain embodiments, the support for a price level under consideration as a lean level is determined based at least in part on the number of orders at one or more price levels. A lean level may then be determined based on the determined support. According to certain embodiments, a lean multiplier and/or a lean base are determined dynamically based on the determined support.

Lean level support for trading strategies

Embodiments for determining a traded item's value are described herein. An embodiment includes identifying conditions for use in computing a value of the tradable object. The embodiment further includes determining whether a condition is satisfied based on market data, for example, and if the condition is satisfied, then determining the value of the item based on a rule associated with the condition; and if the condition is not satisfied, then determining whether a subsequent condition is satisfied. If a subsequent condition is satisfied, then determining the value of the tradable object based on a rule associated with the subsequent condition. An embodiment further includes computing an open profit and loss value based on the item's value. Other embodiments are also disclosed.

Method and apparatus for computing a value of a traded item

A system and method are provided that, among other things, can reduce the burden on receiving computers, increase data throughput, reduce system failure, and provide components of a scalable and flexible network architecture. Specifically, the system and method provide a multichannel-multicast network environment for use in dynamically assigning data to channels. This configuration is particularly useful in a trading network environment, as it effectively performs channel reassignments in a way not to disturb the receipt of the underlying data. While the example embodiments described herein pertain to electronic trading, the principles of the present invention may be equally applied in other environments where the advantages presented herein are beneficial.

Distribution of electronic market data

Methods, system and articles of manufacture are disclosed including configurable order entry, matching, coordination and market data intervals. An example method to decouple order entry and matching of contra-side orders includes receiving a trade order during an order entry interval, wherein the order entry interval defines a first period. The example method also includes starting a matching interval at the expiration of the order entry interval, wherein the matching interval includes a second period and wherein the first period is contiguous to the second period. The example method further includes matching the trade order, during the matching interval, with one or more opposing tradable object trade orders received during the order entry interval, the trade order having a same price or same quantity as the one or more opposing trade orders.

Configurable order entry, matching, coordination, and market data intervals

An electronic trading method is provided. The method includes receiving a trading strategy order having a parent trading strategy including multiple quoting legs; splitting the trading strategy order into multiple child orders; and submitting each of the multiple child orders to exchange systems adapted to fill the quoting legs in the child orders. Each child order includes a child trading strategy having a single quoting leg or a reduced number of quoting legs relative to the parent trading strategy. The child trading strategies are the same as the parent trading strategy except for the number of legs marked as quoting legs. The method may be performed by a trading strategy device disposed between a client device and multiple server side devices.

Distributed server side device architecture

A sticky order routing system may include multiple order routers in communication with an electronic exchange for communicating transaction messages. Each of the order routers communicates transaction messages between multiple associated trading sessions and the electronic exchange, where of the associated trading sessions is assigned to the order router in communication with the electronic exchange. Transaction message traffic between the order routers and the electronic exchange is monitored, such as randomly, based on round-robin assignment, and/or trading data. In response to transaction message traffic exceeding a threshold, the trading session may be assigned to a new order router.

Sticky order routers

A computerized system for transacting the purchase and sale of consumer motor fuels between motor fuel merchants and retail consumers through software on a mobile or desktop connected device for periods in the future through the simultaneous execution of multi-party, multi-layered contingent transactions and pricing algorithms to ensure that all inter-related motor fuel merchant transactions are simultaneously transacted upon a retail consumer purchase execution. Motor fuels include refined products such as gasoline and diesel fuel, renewable fuels (e.g. ethanol, biodiesel), natural gas (including liquefied natural gas), jet fuel and electricity.

Systems and method for automated purchase and receipt of consumer motor fuels for periods in the future

The disclosed embodiments provide trading circles. An example method includes defining a group having a plurality of members, wherein one or more of the plurality of members interacts with an exchange that facilitates market transactions; detecting a first interaction of a first group member with the exchange; and communicating, in response to detecting the first interaction, data related to the first interaction to a second group member before the first group member receives confirmation of the first interaction from the exchange.

Trading circles

Growing community of inventors

Lincolnshire, IL, United States of America

Sagy Pundak Mintz