Chicago Mercantile Exchange Inc.

James Krause

James W Farrell

Ari L Studnitzer

Paul J Callaway

Vijay Menon

Dennis M Genetski

Seshadri Sundaram

Kevin Kometer

Adrien Gracia

Sana Fathallah-Shaykh

Mazen Chadid

James J Farrell

Networks, systems and methods for dynamically filtering market data are disclosed. Streams of market data may be buffered or stored in a queue when inbound rates exceed distribution or publication limitations. Inclusive messages in the queue may be removed, replaced or aggregated, reducing the number of messages to be published when distribution limitations are no longer exceeded.

Dynamic market data filtering

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.

System and method for providing intelligent market data snapshots

A system mitigates the effects of a market spike caused by the triggering and the election of a conditional order in an automated matching system. The system includes evaluation logic, delay logic, pricing logic and timing logic. The evaluation logic monitors conditional orders submitted to a trading engine and is configured to compare a price of an order to a first predefined price range. The delay logic delays matching of the orders submitted to the trading engine when the price of the orders lie outside of the first predefined price range. The pricing logic derives an opening price to be used by the trading engine. The timing logic measures a time interval used to delay a matching of the orders until the opening price is within a predefined price range up to a maximum delay time set by a control center. A method of mitigating the effect of a market spike caused by the triggering and the election of a conditional order includes monitoring conditional orders submitted to the trading engine. The method compares the price of a conditional order to a first predefined price range and delays the matching of orders submitted to the trading engine when the price of the conditional order lies outside of the first predetermined price range. The method derives an opening price to be used by the trading engine; and measures a time interval used to delay the matching of the orders until the opening price is within a predefined price range up to a maximum delay time set by a control center.

System and method for controlling markets during a stop loss trigger

A system mitigates the effects of a market spike caused by the triggering and the election of a conditional order in an automated matching system. Conditional orders submitted to a trading engine are evaluated to compare a price of an order to a predetermined price range. Matching of the orders may be delayed when the price of the orders lies outside of the predetermined price range. An opening price to be used by the trading engine is derived and a time interval is used to delay a matching of the orders until the opening price is within a predetermined price range up to a maximum delay time set by a control center. Implied spreads are also removed until other instruments within a trading unit are verified open.

Controlling implied markets during a stop loss trigger

A system and method for mitigating effects of a market spike caused by triggering and election of a conditional order in an automated matching system. The system includes evaluation logic which monitors conditional orders submitted to a trading engine compares a price of an order to a first predefined price range ('first range') and delay logic which delays matching of the submitted orders when the price thereof lie outside of the first range. Pricing logic derives an opening price for use by the trading engine. Timing logic measures a time interval to delay matching of the orders until the opening price is within a predefined price range up to a maximum delay time set by a control center.

A system mitigates market spike effects caused by conditional ordering triggering and election in an automated matching system. The system monitors trading as a result of cascading triggering of conditional orders. When an order is executed beyond a predetermined price threshold, an instrument may be flagged, allowing matching to occur only at or within the predetermined price threshold. Orders within the price threshold are matched at the price threshold against orders beyond it, dampening any instantaneous damaging effects of the price spike. The system may adjust the price threshold when market appropriate, allowing the order flow to bring the market back to whatever is the true price level. The system mitigates purely conditional order cascade driven price fluctuations, but allows the market to continuously trade in controlled price and time intervals ensuring that true market moves can still occur without price control mechanisms hindering trade matching and true price discovery.

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Palatine, IL, United States of America

James Krause