Aspects of the present invention relate to the processing of financial market messages. More specifically, aspects of the present invention provide systems and methods for determining characteristics relating to the use of messages.
Current financial instrument trading systems allow traders to transmit messages to submit new orders, cancel existing orders and modify existing orders. Typically trade engines process each individual message and create corresponding market data messages. Market data messages are transmitted to traders and other entities. Existing systems provide traders and other users with several options regarding the use of messages. For example, if a trader wishes to change the price of an existing order for a financial instrument, the user can submit a modify order message or submit a cancel order message and a new order message. Choices made by traders impact the number of messages required to implement trading strategies.
Message traffic can strain computer systems and networks that are used to transmit such messages. The processing of messages and associated overhead consumes bandwidth and processing time. Large numbers of messages also have corresponding large memory and storage requirements.
Therefore, there is a need in the art for improved systems and methods for monitoring messages and providing incentives for the efficient or optimized use of messages.
Embodiments of the invention overcome at least some of the problems and limitations of the prior art by providing systems and methods for evaluating or scoring financial market messages. Messages that are efficient and/or improve liquidity are scored accordingly. An exchange or other trading entity may charge a fee or provide a reward that is dependent on the message score.
In various embodiments, aspects of the present invention can be partially or wholly implemented on a computer-readable medium, for example, by storing computer-executable instructions or modules, or by utilizing computer-readable data structures.
Of course, the methods and systems disclosed herein may also include other additional elements, steps, computer-executable instructions, or computer-readable data structures.
The details of these and other embodiments of the present invention are set forth in the accompanying drawings and the description below. Other features and advantages of the invention will be apparent from the description and drawings, and from the claims.
The present invention may take physical form in certain parts and steps, embodiments of which will be described in detail in the following description and illustrated in the accompanying drawings that form a part hereof, wherein:
Aspects of the present invention are preferably implemented with computer devices and computer networks that allow users to exchange trading information. An exemplary trading network environment for implementing trading systems and methods is shown in
The trading network environment shown in
Computer device 114 is shown directly connected to exchange computer system 100. Exchange computer system 100 and computer device 114 may be connected via a T1 line, a common local area network (LAN) or other mechanism for connecting computer devices. Computer device 114 is shown connected to a radio 132. The user of radio 132 may be a trader or exchange employee. The radio user may transmit orders or other information to a user of computer device 114. The user of computer device 114 may then transmit the trade or other information to exchange computer system 100.
Computer devices 116 and 118 are coupled to a LAN 124. LAN 124 may have one or more of the well-known LAN topologies and may use a variety of different protocols, such as Ethernet. Computers 116 and 118 may communicate with each other and other computers and devices connected to LAN 124. Computers and other devices may be connected to LAN 124 via twisted pair wires, coaxial cable, fiber optics or other media. Alternatively, a wireless personal digital assistant device (PDA) 122 may communicate with LAN 124 or the Internet 126 via radio waves. PDA 122 may also communicate with exchange computer system 100 via a conventional wireless hub 128. As used herein, a PDA includes mobile telephones and other wireless devices that communicate with a network via radio waves.
One or more market makers 130 may maintain a market by providing constant bid and offer prices for a derivative or security to exchange computer system 100. Exchange computer system 100 may also exchange information with other trade engines, such as trade engine 138. One skilled in the art will appreciate that numerous additional computers and systems may be coupled to exchange computer system 100. Such computers and systems may include clearing, regulatory and fee systems.
The operations of computer devices and systems shown in
Of course, numerous additional servers, computers, handheld devices, personal digital assistants, telephones and other devices may also be connected to exchange computer system 100. Moreover, one skilled in the art will appreciate that the topology shown in
Trading engine 208 may include a message quality module 210. Message quality module 210 may be implemented with software and/or hardware to score or evaluate messages received from traders and to generate a message quality score. Message quality scores may be used to quantify how efficiently traders are using message types and/or the impact that a message has on market liquidity. In one embodiment message values are assigned according to message type. For example, a new order message may have a message value of 0, a cancel order may have a message value of 1 and a modify order message may have a message value of 0.3. The use of a modify order message is often more efficient than the use of the combination of a cancel order message and a new order message. Accordingly, the message value of a modify order message may be less than the average of a cancel order message and a new order message. In various alternative embodiments message quality scores are also a function of message size. For example, a large order may add to liquidity and not increase a message quality score.
Various other algorithms and weighting methods may be used to generate message quality scores. Message quality scores may be functions of factors such as changes in price levels, size, time in the market, market and combinations. Weights may also be assigned to each factor and one or more weights may be a function of other factors. Message quality scores may be a weighted sum of factors or other combination of weighted or unweighted factors.
Trading engine 208 may include an aggregation module 212. Aggregation module 212 may be configured to aggregate message quality scores by individual traders, firms and/or other trading entities. Aggregation may also be performed for time periods, such as by trading session or month. Trading engine 208 may also be configured to distribute message quality scores. In some embodiments a message quality score 214 is included as part of return message 206. Message quality score 214 may be for an individual message or may be an aggregated score for a trading entity or may be used in a downstream system to gate available capacity for a user. Distributing message quality scores facilitates accurately tracking message scores by traders.
In some embodiments a gateway 218 may be included between trader 202 and trading engine 208. Gateway 218 may perform various functions, such as volume control checks, calculating message quality scores and transmitting message quality scores.
In one embodiment message quality scores are determined by the following equation:
Message quality=A*ΔPrice level+B*Size+C*ΔTime (Equation 1)
Wherein
A, B and C=constants per product
ΔPrice level=change in price level
Size=order size
ΔTime=time in the market
The change in price level factor may correspond to a change in dollar amounts. For example, modifying an order from a price level of $15 per contract to a price level of $17 per contract would have a change in price level of $2 per contract. Change in price levels may also factor in order quantity. For example, if the order had a volume of 50 contracts, the change in price level may be $2 per contract multiplied by the volume of 50 contracts or $100. Alternatively, the change in price level factor may be determined in relation to a best bid or best offer. As the best bid and best offer move the change in price level represents the change in dollar amount or ticks from the best bid or best offer. For example, if an order is at one tick level below a best bid and the market moves, modifying the order to remain one tick level below the new best bid would be considered no change in price level.
The time in the market factor may be used to reward traders for leaving orders in a market for longer periods of time. Orders that remain in the market for longer time periods may add to market liquidity and may decrease the capacity load needed to process the order and subsequent market data.
In some embodiments messages that include order sizes that exceed a threshold do not add to message quality scores. Of course, a tiered approach or an adjustment favorable to a trader to the message quality score may also be used in other embodiments. Various message quality scoring algorithms may also factor in distances from a best bid or best offer. Orders that are further away from a best bid or best offer may only marginally add to liquidity.
The method shown in
In some embodiments that utilize volume controls, an exchange or other trading entity may facilitate the trading of excess capacity. Trading entities may buy and sell volume subject to volume controls or message quality scores. Such embodiments may allow trading entities to profit from the efficient use of messaging, which encourages the efficient use of messaging.
The present invention has been described in terms of preferred and exemplary embodiments thereof. Numerous other embodiments, modifications and variations within the scope and spirit of the invention will occur to persons of ordinary skill in the art from a review of this disclosure. For example, aspects of the invention may be used to process and communicate data other than market data.
Number | Name | Date | Kind |
---|---|---|---|
5371673 | Fan | Dec 1994 | A |
6029146 | Hawkins | Feb 2000 | A |
6108493 | Miller | Aug 2000 | A |
6236980 | Reese | May 2001 | B1 |
6393460 | Gruen | May 2002 | B1 |
6493703 | Knight | Dec 2002 | B1 |
6571234 | Knight | May 2003 | B1 |
6606644 | Ford | Aug 2003 | B1 |
6859807 | Knight | Feb 2005 | B1 |
7072883 | Potok | Jul 2006 | B2 |
7130777 | Garg | Oct 2006 | B2 |
7146416 | Yoo | Dec 2006 | B1 |
7155510 | Kaplan | Dec 2006 | B1 |
7185065 | Holtzman | Feb 2007 | B1 |
7197470 | Arnett | Mar 2007 | B1 |
7299204 | Peng | Nov 2007 | B2 |
7983952 | Dillon | Jul 2011 | B1 |
8306904 | Marchini | Nov 2012 | B1 |
8566222 | Hendrix | Oct 2013 | B2 |
8843563 | Hartman | Sep 2014 | B1 |
20050109830 | Liberti | May 2005 | A1 |
20080306880 | Legatz | Dec 2008 | A1 |
20100042570 | Mayers | Feb 2010 | A1 |
20100257117 | Shvadron | Oct 2010 | A1 |
20110184844 | Parsons | Jul 2011 | A1 |
20120185410 | Hendrix | Jul 2012 | A1 |
20120239650 | Kim | Sep 2012 | A1 |
20140236800 | Buck | Aug 2014 | A1 |
Entry |
---|
Monitoring Data Quality Performance Using Data Quality Metrics with David Loshin (Year: 2006). |
Number | Date | Country | |
---|---|---|---|
20140040062 A1 | Feb 2014 | US |