`
`__________________
`
`BEFORE THE PATENT TRIAL AND APPEAL BOARD
`
`__________________
`
`IBG LLC, INTERACTIVE BROKERS LLC,
`TRADESTATION GROUP, INC., and
`TRADESTATION SECURITIES, INC.,
`Petitioners
`
`v.
`
`TRADING TECHNOLOGIES INTERNATIONAL, INC.
`
`Patent Owner
`_________________
`
`Case CBM2016-00032
`U.S. Patent 7,212,999
`_________________
`
`DECLARATION OF CHRISTOPHER H. THOMAS
`
`
`
`
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`Page 1 of 34
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`TRADING TECH EXHIBIT 2169
`IBG ET AL. v. TRADING TECH
`CBM2016-00032
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`Case CBM2016-00032
`U.S. Patent 7,212,999
`
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`TABLE OF CONTENTS
`
`INTRODUCTION ........................................................................................... 1
`I.
`QUALIFICATIONS & BACKGROUND ...................................................... 2
`II.
`INFORMATION CONSIDERED ................................................................... 8
`III.
`IV. PERSON OF ORDINARY SKILL IN THE ART .......................................... 9
`V.
`BACKGROUND OF THE INDUSTRY ....................................................... 12
`VI. CONVENTIONAL GRAPHICAL USER INTERFACE
`TOOLS (“GUI TOOLS”) .............................................................................. 16
`VII. ADVANTAGES OF THE INVENTION ...................................................... 21
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`INTRODUCTION
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`I.
`I, Christopher H. Thomas, declare as follows:
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`Case CBM2016-00032
`U.S. Patent 7,212,999
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`1.
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`I am over 18 years of age. I have personal knowledge of the facts
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`stated in this declaration and could testify competently to them if asked to do so.
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`2.
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`I have been retained on behalf of Patent Owner Trading Technologies
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`International, Inc. (“TT”) (“Patent Owner”) to provide expert opinions in
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`connection with Case CBM2016-00032, regarding United States Patent No.
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`7,212,999 (“the ’999 patent”). I am being compensated for my time spent on this
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`matter, including independent study, document review, analysis, and writing. My
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`opinions stated herein are based on review and analysis of the materials obtained in
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`connection with my work in his matter, together with my education and
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`experience. The opinions stated herein are my own. My compensation is not
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`contingent upon my opinions stated herein or the outcome of this proceeding.
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`3.
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`I understand that a Petition was filed on February 9, 2016 seeking
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`covered business method (“CBM”) review of claims 1 through 35 of the ’999
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`patent, and the petition was subsequently assigned case no. CBM2016-00032. I
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`understand that in the Petition, Petitioners alleged that the claims are
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`unpatentable under 35 U.S.C. § 101 and also provided various grounds under 35
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`U.S.C. § 103. I understand that the Petitioner did not allege any grounds of
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`anticipation. The PTO instituted CBM review, by decision dated August 16, 2016,
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`for all claims of the ’999 patent under § 101 but rejected all asserted § 103
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`grounds.
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`4.
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`I have been asked to address the unconventional nature of the claims
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`of the ‘999 Patent and in particular, I have been asked to address the advantages of
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`the claimed invention over conventional prior art GUI’s that existed at the time of
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`the invention.
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`II. QUALIFICATIONS & BACKGROUND
`5. My curriculum vitae is attached to this report as Ex. A. Briefly, my
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`expertise lies in the field of the engineering, design, and development and
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`construction of graphical user interface (“GUI”) tools for electronic trading, such
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`as those used in electronic trade execution systems and proprietary trading
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`systems.
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`6.
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`I have been actively trading on exchanges worldwide and managing
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`portfolios of futures, commodities, stocks, and stock indexes since 1992. In 1996, I
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`began developing trading decision and execution systems. At that time, my trading
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`became completely reliant on the systems that I had developed. Ultimately, this led
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`to my career in technology as a Chief Technology Officer (CTO) for several large
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`trading companies and Managing Director of a large Canadian bank.
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`7.
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`As CTO of Emerald Market Systems in 1997, I designed and
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`developed an internet quote system that was used by the Chicago Mercantile
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`Exchange to provide free quotes for certain new markets that the exchange was
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`promoting over the internet. The system had two versions. The first version was a
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`HTML based quote application that provided typical last price, best bid and ask
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`price information. The second version was a JAVA based version of the HTML
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`quote application. Both of these versions were used to facilitate trading in the open
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`outcry trading pits. In 1998, I designed and developed for a Chicago-based Futures
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`Commission Merchant, named LFG, the first web browser based trade order entry
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`system for the U.S. commodity markets known as “FuturesOnline.” When
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`FuturesOnline was first released to users, there were no electronic exchanges for
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`futures that were available to regular users who were not members of an exchange
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`in the United States. Because of this, FuturesOnline was initially connected to the
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`TOPS system at the Chicago Mercantile Exchange. This allowed traders connected
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`via the internet to send orders using FuturesOnline, which would be routed to the
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`relevant trading pit at the exchange using the TOPS system. FuturesOnline also
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`provided quotes to its traders and also allowed them to view their previous
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`transactions, open orders, account balances, etc. Later, when GLOBEX became
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`available to regular customers of FCMs, FuturesOnline was connected to
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`GLOBEX as an electronic exchange destination. I was responsible for designing
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`and programming all of the graphical user interfaces (“GUIs”) and designing and
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`implementing the database that FuturesOnline used for storing trades, orders,
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`account balances, etc. There was another component to FuturesOnline which I
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`developed and that was the broker version. This enabled brokers at LFG to see all
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`of the account balances and open and closed orders for all of their clients, and it
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`enabled the brokers to enter orders, modify existing orders, cancel orders or close
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`out trades for any of their customer’s accounts. This was functionality that they
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`had never had before and it greatly increased the productivity of the brokers and
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`allowed them to have improved risk management over their customers’ trading
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`activities. FuturesOnline was so successful that I created a white-labeled version
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`that enabled other FCMs to use the FuturesOnline technology while it appeared to
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`their customers that it was their own. FuturesOnline was white labeled to three
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`FCMs, in addition to LFG’s use. In developing LFG’s FuturesOnline, I utilized
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`Distributed Network Architecture (“DNA”) technology from Microsoft Corp.
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`FuturesOnline was later featured on Microsoft’s website as a case study for its use
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`of DNA technology. A copy of the case study is attached as Ex. D. This
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`technology was developed for electronic trading, not for mimicking or supporting
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`open outcry trading. As will be discussed below, in the transition away from open
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`outcry trading, some technology was developed to mimic open outcry trading,
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`while other technology was developed to carry out electronic trading by sending
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`trade orders to an electronic exchange for automatic anonymous matching.
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`FuturesOnline falls into the latter category.
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`During the period from about 1992 to 2002, I was active in the trading
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`8.
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`community in a variety of roles relating to trading and/or technology for trading, as
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`described in this declaration. By virtue of this experience, I witnessed, participated
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`in, and am familiar with the industry’s transformation from open outcry trading
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`pits, to early trading tools for after-hours trading (such as the Chicago Board of
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`Trade’s Project A and the CME/Reuters GLOBEX system) and, eventually, to
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`what we refer to today as electronic trading and its technology based trading tools.
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`9.
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`From late 1999 until 2002, I was the CTO for Stafford Trading, a
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`proprietary trading company in Chicago, Illinois, USA, which was one of the
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`largest market makers on the U.S. equity option exchanges. In this capacity, I
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`managed a staff of roughly one hundred individuals and an annual technology
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`budget in excess of fifteen million dollars. This staff included approximately 40
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`software developers, 40 network and server engineers, and 20 support staff. During
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`this time, I also designed a new desktop order entry system to replace a legacy
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`system for the traders at Stafford Trading. This system was connected to electronic
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`exchanges and ECNs for stocks and options on stocks, and was connected to the
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`CME GLOBEX electronic exchange for futures. I designed the GUIs for that
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`system, which included Level II type quotes (this is functionally equivalent to
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`Figure 2 in the TT patents). In April of 2000, while at Stafford Trading I became a
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`founder and CTO of a technology company called Ragnarok Systems Inc., which
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`was majority owned by the principals of Stafford Trading. Ragnarok Systems was
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`a next generation online trading brokerage firm. Ragnarok Systems along with
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`parts of Stafford Trading was acquired by Toronto Dominion Bank in March of
`
`2002. Ragnarok Systems was also featured on Microsoft’s website as an example
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`of large commercial usage of Microsoft’s technologies in the Financial Services
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`industry. At Toronto Dominion Bank (“the Bank”), a large Canadian bank, after
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`the acquisition, I served until August 2003 as a Managing Director and CTO of the
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`new entity at the Bank that was named TD Options, LLC. I subsequently returned
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`to trading as a Managing Director at TD Options LLC and continued to further
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`develop trading systems that I had begun using several years earlier. In 2006, I
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`started my own trading group at TD Options LLC, while still serving as a
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`Managing Director, and actively traded a long-short portfolio of U.S. Equities and
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`U.S. equity index futures, using the trading strategies and software tools that I
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`developed. This trading was electronic trading. When I refer to electronic trading, I
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`am referring generally to a system in which traders send electronic orders to an
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`electronic exchange, where the electronic exchange uses technology to implement
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`an automatic matching engine (via hardware and software).
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`10.
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`I left TD Options LLC in October of 2008 and became a founder of a
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`proprietary trading firm in Chicago, named Pembroke Trading LLC, specializing
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`in algorithmic trading of futures markets. In this capacity, I was responsible for
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`designing and managing the development of the user interfaces and electronic
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`trading platforms and infrastructure for testing and executing trading strategies in
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`live markets.
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`11.
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`In May of 2011, I started my own proprietary trading firm,
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`Maridunum Capital, L.L.C., which specializes in automated algorithmic trading of
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`Futures Markets. In this capacity, I am responsible for designing all trading
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`software and algorithms for the company. Additionally, I am responsible for
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`programming portions of the software.
`
`12.
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`In May of 2016, I became a founder of a software company named
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`Primal Quant LLC, which will provide trading strategy design and testing tools to
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`online traders without the need for the trader to have programming experience or
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`knowledge. At Primal Quant I am responsible for all GUI and database designs, as
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`well as managing a team of software engineers.
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`13.
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`I am not a professional expert witness. My profession is the
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`development of technology for trading and trading. My experience as an expert is
`
`limited to the subject matter of the TT patents, and I was hired more than 9 years
`
`ago in that role because of my relevant experience in the trading industry,
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`including open outcry, electronic trading, and the development of technology for
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`use in electronic trading. Prior to that, I had never testified as an expert witness in
`
`any matter. In sum, before getting involved as expert, I had widespread exposure
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`and personal knowledge as to the state of the art at time of invention, as well as
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`before and after the time of the invention. Through my experience with the TT
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`litigation, I was exposed to additional items of information. Coupled with my
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`personal experience in the industry, I have therefore gained extensive knowledge
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`of the art.
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`III.
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`INFORMATION CONSIDERED
`
`14.
`
`In forming my opinions, I have reviewed:
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`• United States Patent No. 7,212,999 (“the ‘999 patent”);
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`• Petition for Covered Business Method Review in this proceeding
`
`(Paper 1);
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`• The Patent Trial and Appeal Board’s (“the Board’s”) decision
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`instituting Covered Business Method Patent Review entered August
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`16, 2016 (“the Institution Decision”) (Paper 16);
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`• Declaration of Kendyl A. Román (Ex. 1012), his CV (Ex. 1013) and
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`his List of Materials (Ex. 1014) submitted in CBM2016-00032; and
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`• Deposition Transcript of Kendyl A. Román, dated May 3, 2016 and
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`May 5, 2016 (Exs. J and YYYY).
`
`15.
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`I have personal experience with wide variety of technologies for
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`electronic trading (as referenced above in background) and, over the course of my
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`professional involvement in trading, have seen numerous GUI tools for electronic
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`trading. Throughout my professional trading career, I have made an effort to stay
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`current and when possible ahead of the curve, on technologies for trading,
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`including investigating new technology offerings, attending trade shows, and
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`receiving sales pitches from trading technology vendors, as well as developing
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`technology myself. I also have colleagues in the industry, some of whom would be
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`considered one of ordinary skill in the art, and some of whom I would consider to
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`be of significantly higher levels of skill. Because of my roles in the industry, from
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`a time significantly before the invention until well thereafter, I was working and
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`speaking on a regular basis with these colleagues and the traders themselves about
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`technology for trading in general, and GUI tools in particular, and their needs,
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`desires, frustrations and challenges with the technology available at the time. These
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`experiences further inform my opinions from the perspective of one of ordinary
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`skill in the art.
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`IV. PERSON OF ORDINARY SKILL IN THE ART
`16. The technology at issue in this proceeding is a graphical user interface
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`(“GUI”) tool for trading. In general, the term GUI refers to a human-machine
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`interface that allows users to interact with the machine by utilizing graphical
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`elements, as opposed to, for example, text-based interfaces. Text-based interfaces
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`typically required the user to type commands on a keyboard. With a GUI tool, the
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`user may interact with the graphical elements on a display, such as by using a
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`keyboard, a mouse, a stylus, a finger, or other pointing device. GUI tools are
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`constructed using a combination of software and hardware elements. In addition to
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`desktop and laptop computers, GUI tools are used in a wide variety of handheld
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`devices. GUIs are also sometimes referred to as MMIs (man-machine interfaces) or
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`HCIs (human-computer interfaces). These GUIs are analogous to physical devices
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`because, like physical devices, they are designed to permit a user to interact with a
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`machine. For example, in older airplanes, the cockpit utilizes physical buttons,
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`levers or switches to control the operation of the airplane. In modern day aircraft,
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`the cockpit utilizes GUIs that enable the pilot to control the operation of the
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`airplane. As another example, old calculators have push buttons that enable the
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`user to enters values or operations, whereas today’s smartphones utilize, for
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`example, a GUI that enables the user to enters the same values or operations.
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`17. GUI tools like the invention of the ’999 patent are typically developed
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`for and used by professionals, particularly at the time of the invention. Thus, in
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`addition to providing desirable functionality, these GUI tools must be highly stable
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`and reliable. In my experience, GUI tools for trading are extensively tested,
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`including testing in all kinds of simulated market conditions, well in advance of
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`any use in a live market. As discussed below, GUI tools are mission critical for
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`professional electronic traders. They are the primary tools of their trade, just like
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`GUIs in a cockpit are the primary tools for pilots flying modern day aircraft.
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`In the course of my industry experience, I have hired people to do
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`18.
`
`GUI tool development for electronic trading. Backgrounds included previous
`
`experience in software development, technical degrees in computer science,
`
`engineering or other science disciplines, or equivalent work experience etc.
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`19.
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`In my opinion, one of ordinary skill in the art for purposes of this
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`proceeding is a person having (1) a bachelor's degree or equivalent experience and
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`(2) two years of experience designing and/or programming graphical user
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`interfaces, including experience designing and/or programming graphical user
`
`interfaces for electronic trading based on input from a person with knowledge of
`
`the needs of an electronic trader. I have a greater level of skill, but I can speak
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`about what one of ordinary skill in the art would understand because of my
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`background and experience.
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`20.
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`I have reviewed Petitioners’ and Mr. Román’s definition of one of
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`ordinary skill (submitted with the Petition) and I disagree with it for at least the
`
`reason that it does not provide sufficient weight to the experience designing and/or
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`programming GUIs for electronic trading based on input from a person with
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`knowledge of the needs of an electronic trader. Mr. Román’s definition instead
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`focuses primarily on GUI experience, with no access to or knowledge of the needs
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`of an electronic trader, which is plainly deficient. They suggest that merely direct
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`or indirect experience with trading or related systems is adequate. This is incorrect
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`because it ignores the needs of the trader for whom the GUI is designed. In
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`addition, I disagree with their assertion that the person of ordinary skill would need
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`a bachelor’s degree or higher in computer science or computer engineering. Based
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`on my experience in the industry for over 20 years, I believe that this requirement
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`is too restrictive, again skewing the view of the person of ordinary skill toward a
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`generalized GUI designer and away from the recited field.
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`21. My definition of the person of ordinary skill in the art is that of a
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`baseline worker in this industry. Many individuals in the industry, as one would
`
`expect, have a significantly higher level of skill. My level of skill in the art is
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`significantly higher than that of the person of ordinary skill, and my level of skill
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`was attained through my numerous relevant work experiences, including trading
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`experience, self–taught programming proficiencies, as well as experiences in
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`designing, developing and implementing electronic trading systems.
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`V. BACKGROUND OF THE INDUSTRY
`22. To understand the claimed invention and its unconventional nature, it
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`is important to have an understanding of the nature of the industry in which it was
`
`developed and the mission critical nature of tools used for electronic trading. The
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`electronic trading industry is made up of various groups. These groups include the
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`exchanges, Futures Commissions Merchants (“FCMs”), technology providers,
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`such as Independent Software Vendors (“ISVs”) whose primary business is to
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`provide front-end order entry software, trading firms and individual traders. All of
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`the groups identified above provide complimentary services and work together to
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`facilitate the execution of trades. TT is an example of an ISV. Examples of more
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`well diversified vendors include CQG and Bloomberg. Examples of an FCM
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`include RCG and Goldman Sachs. Examples of an exchange include the CME,
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`Eurex and the Tokyo Stock Exchange (“TSE”). A broker is generally speaking
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`someone who, typically for a fee, executes buy and sell orders on behalf of
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`another. An FCM is an entity that facilitates the buying and selling of futures
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`contracts and typically holds monetary funds as margin for trading activities. An
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`exchange is a marketplace in which things of value are traded, such as securities,
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`options, futures etc.
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`23. Since at least the early 1990s, many of the industry groups identified
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`above have been investing in creating and providing front-end order entry
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`software. The technology providers include ISVs and more well diversified
`
`vendors that provide various technology, including front-end order entry software.
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`Some FCMs (such as RCG and Goldman Sachs), and exchanges (such as
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`DTB/Eurex in the 1990s, the CME in the 1990s through the early 2000s and the
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`Intercontinental Exchange ("ICE”) today) have provided their own front-end order
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`entry software. Furthermore, many trading firms and individual traders have
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`invested in their own technology creating their own front-end order entry software.
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`All of the groups identified above compete against each other with respect to front-
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`end order entry software.
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`24. To better appreciate the significance of the invention, an
`
`understanding of the nature of the industry in which it was developed is helpful.
`
`The incentives for success are pure – there is a lot of money at stake. Traders (who
`
`can be brokers, speculators and/or hedgers) use technology, such as software and
`
`hardware products, to help make quick decisions and seize opportunities. This
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`technology can be obtained from any of the various industry groups described
`
`above. At the time of the invention there was, and still today there is, a strong
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`interest in technology that provides even the slightest edge or advantage over
`
`others in the industry. As a result, there are millions of dollars spent each year on
`
`research and development to create technology that can provide a participant in the
`
`industry any edge.
`
`25. Speed and accuracy are often critical factors for success. Because
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`opportunities may exist for only fleeting moments, the ability to spot them and
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`seize those opportunities can often be the difference between the success and
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`failure of a trader. Thus, even the smallest appreciation or suspicion that some new
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`technology has a chance to provide even a slight advantage is quickly tried by the
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`industry. Unlike the case in some other industries, there are no market factors or
`
`other reasons why groups in the industry would not try any technology that is
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`perceived as having the slightest possibility of providing an edge. Similarly, the
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`exchanges and FCMs make more money when more volume is traded. As such,
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`they are always looking to develop technology that will increase the volume traded
`
`by end users. As a result, new technology that provides a competitive edge spreads
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`like wildfire.
`
`26.
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`It is important to appreciate that, in this industry, there is a very fine
`
`edge between failure and success, and differences in GUI tools, which may appear
`
`minor to a layperson or one who is not one of ordinary skill in the art, may actually
`
`be extremely significant to one of ordinary skill. What may seem to be a minor
`
`tweak, especially with the benefit of hindsight, to a person who is not one of
`
`ordinary skill in the art or a person outside of the field of electronic trading, could
`
`mean the difference between a complete failure and an incredible success. As a
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`result, one of ordinary skill in this art may perceive a difference as critical, whereas
`
`someone outside the field may see the same difference as minor with the benefit of
`
`hindsight.
`
`27. Prior to and at the time of the invention, many well-capitalized
`
`industry groups had the motivation to create better trading screens. For example,
`
`exchanges throughout the world provided electronic trading systems around the
`
`time of the invention. The systems provided order-matching, maintained order
`
`books and positions (or market depth), price information, and managed and
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`updated electronic trading databases. Traders used software that created high-speed
`
`interactive screens that enabled them to enter orders, obtain data from the exchange
`
`and monitor their positions. As volume through electronic trading increased,
`
`electronic trading quickly became a large portion of the business for exchanges.
`
`The exchanges, therefore, had great interest in promoting electronic trading. Eurex
`
`invested in promoting electronic trading and trading screens in particular. The
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`Chicago Board of Trade (“CBOT”) developed its own screen. The Chicago
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`Mercantile Exchange (“CME”) provided Globex and Globex II, both of which
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`included trading screens. All of these exchanges had an incentive to create an
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`improved trading screen that caused people to trade more and that improved trader
`
`performance, so the exchanges would make more money through increased
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`volume.
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`VI. CONVENTIONAL GRAPHICAL USER INTERFACE TOOLS (“GUI
`TOOLS”)
`
`28. Both prior to the invention of the ‘999 patent and for a significant
`
`time thereafter, there was a widely accepted conventional wisdom regarding the
`
`design of a graphical user interface tool (“GUI tool”) for order entry. For example,
`
`it was conventional to provide the ability to enter orders using order entry tickets.
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`With order entry tickets, a trader fills out a ticket (by, for example, entering
`
`parameters for the order such as quantity) and then clicks on a send button (and/or
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`a confirmation button) provided on the ticket to send an order to an exchange. This
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`method was known as being very accurate for order entry, but also widely known
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`as being very slow.
`
`29. With respect to GUI tools that permitted users to enter orders by
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`directly interfacing with displayed prices (e.g., through the use of a mouse), the
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`overwhelming majority of GUI tools displayed the best bid price and best ask price
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`at designated locations on the screen.
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`30. Figure 2 of another patent assigned to TT, U.S. Patent No. 6,772,132
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`(“the ‘132 Patent”) (reproduced with annotations below) illustrates an example of
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`one such common dynamic screen, also referred to as a market grid. A true and
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`accurate copy of the ‘132 Patent can be found at Ex. 2116.
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`31. The dynamic screen of Figure 2 represents a screenshot for a market.
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`In the figure, bid prices are displayed in the BidPrc column 203 and ask prices are
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`displayed in the AskPrc column 204 column adjacent to the BidPrc column. The
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`best bid price that is currently available in the market is always displayed at the top
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`of column 203, and other bids that are also currently available in the market are
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`displayed progressively descending the BidPrc column 203. Similarly, the best ask
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`price that is currently available in the market is always displayed at the top of
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`column 204, and other asks that are currently available in the market are displayed
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`progressively descending the AskPrc column 204. The inside market is understood
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`by those of ordinary skill in the art as meaning the best bid price and best ask price
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`available in the market.
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`32. The screen shown in Figure 2 is dynamic with respect to the display
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`of prices because each and every time the inside market changes, the price values
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`within the cells of the top row in columns 203 and 204 will change. More
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`particularly, the value in the best bid price cell changes every time an update
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`reflecting a change to the best bid price available in the market is received, and the
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`value in the best ask price cell changes every time an update reflecting a change to
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`the best ask price available in the market is received. The other displayed bid and
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`ask prices similarly change based on updates in the market. Therefore, the prices
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`are constantly changing in response to changes in the market. However, the
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`location (or cells) designated for the inside market remains in the same top row of
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`the display of prices. In other words, though the values for the prices are changing
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`in the cells, the dynamic display maintains the inside market at the same location in
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`those top two cells. Thus, the dynamic screen of Figure 2 fixes the inside market
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`for a commodity in a specified location (i.e., in the top cells). Importantly, in this
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`type of dynamic screen, there is no price axis. In other words, this screen only
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`shows those prices for which are pending orders. This screen does not display price
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`levels that have no orders. For example, in Figure 2 above, price level 7628 is
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`omitted.
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`33. Prior to the invention of the ‘999 patent and continuing for years after,
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`dynamic screens of the sort shown in Figure 2 represented the engrained
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`conventional wisdom regarding how electronic trading screens were designed.
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`While most dynamic screens have a format similar to what is shown in Figure 2
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`(where the best bid and ask prices are provided side-by-side), at the time of the
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`‘999 invention there were also similar dynamic screens that displayed the prices
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`vertically (e.g., with the best ask price being displayed above the best bid price).
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`However, such screens similarly displayed the best bid and best ask prices only at
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`designated locations on the screen.
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`34. While various features may have varied from one dynamic screen to
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`another, there was one constant: the inside market was displayed in a fixed,
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`designated location to emphasize focus on the primary target for the traders: the
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`inside market. This was perceived, by those skilled in the art at the time of the
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`invention, as a significant advantage. The inside market was the focus because,
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`prior to the invention, the most common types of orders were orders made at the
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`inside market (commonly referred to as “market orders” or “market type orders”).
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`Since the location of the inside market is always known, the trader may easily spot
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`the target, regardless of changes in the market. At any given time, the trader could
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`look at the screen and immediately know the current state of the market.
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`35. Screen “real estate” is a reference to the size of the GUI tool, or the
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`amount or portion of the trader’s screen that the GUI tool occupies. Conserving
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`screen “real estate” was important because traders had numerous types of
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`information provided on the limited space of the trading screen, including: multiple
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`markets for products to be traded, various price charts, numerous news feeds, etc.
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`It was critical to minimize space so that the market for each product could be
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`displayed, as well as to reduce the amount of mouse movement between products.
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`The dynamic screens satisfied this criteria because the bid and ask prices for a
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`product are provided in proximate locations. In addition, in the higher-end dynamic
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`screens, the number of displayed bid and ask prices beyond the inside market may
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`be adjusted to further minimize the amount of screen real estate required for a
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`product. That is, the screen real estate for a product can be reduced to simply four
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`pieces of market data that would be displayed in a single row (or column): a best
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`bid price and quantity, and a best ask price and quantity. With the dynamic screens,
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`the other row