WO2022256841A1 - Conditional engine - Google Patents

Conditional engine Download PDF

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Publication number
WO2022256841A1
WO2022256841A1 PCT/US2022/072756 US2022072756W WO2022256841A1 WO 2022256841 A1 WO2022256841 A1 WO 2022256841A1 US 2022072756 W US2022072756 W US 2022072756W WO 2022256841 A1 WO2022256841 A1 WO 2022256841A1
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WO
WIPO (PCT)
Prior art keywords
order
user device
financial instrument
conditional
firm
Prior art date
Application number
PCT/US2022/072756
Other languages
French (fr)
Inventor
Bryan BLAKE
Vincent POIL
Jim Lee
Sik Ngai
Mark Beddis
Original Assignee
Cboe Exchange, Inc.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from US17/700,256 external-priority patent/US20220301055A1/en
Application filed by Cboe Exchange, Inc. filed Critical Cboe Exchange, Inc.
Priority to CA3222369A priority Critical patent/CA3222369A1/en
Publication of WO2022256841A1 publication Critical patent/WO2022256841A1/en

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/04Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0635Risk analysis of enterprise or organisation activities
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/18Legal services; Handling legal documents

Definitions

  • This application relates to technology for trading financial instruments in electronic exchanges, as well as hybrid exchanges that combine electronic and open- outcry trading mechanisms.
  • High volumes of financial instruments are continuously traded in real time at electronic exchanges through algorithmic processing of orders and associated market information.
  • a trade may be executed when the price associated with a bid to purchase a financial instrument matches the price associated with an offer to sell the same instrument.
  • Market participants typically price their bids and offers based on market conditions, which are subject to rapid change, and exchanges often match bids and offers based on price time priority, and the principle of first-in, first-out (FIFO).
  • This disclosure relates to an exchange computer system including a conditional order engine that provides market participants with additional flexibility, allows trades to occur that otherwise would not have occurred, and reduces the amount of network traffic necessary to implement complicated strategies, thereby freeing up resources and bandwidth for every machine involved, both local and remote to the exchange.
  • a conditional order does not have to be filled instantly.
  • a conditional order allows a market participant to set one or more preferred metrics, such as quantity or price at which to bid or offer for a financial instrument, with the aim of completing the order either all at once, or in a series of trades with other conditional order participants.
  • a conditional order can be entered well in advance of the related trade(s), such that the market participant’s preferences for completing that order are input to the exchange computer system, which can then monitor market activity to identify potentially matching orders on behalf of that market participant, and invite market participants to trade when the potential matches are identified.
  • a first market participant can place a first conditional order for selling a particular quantity of a financial instrument at a certain price and optionally place a firm order for selling a different quantity of the financial instrument at the same or at a different price.
  • a second market participant can place a second conditional order for buying a certain quantity of the financial instrument at a certain price.
  • the exchange computer system can determine that the terms (e.g., price, quantity) of the first conditional order and the terms of the second conditional order match.
  • the exchange computer system can then generate a pair of invitations for the market participants to submit new firm orders matching the terms of the identified conditional orders.
  • the exchange computer system can execute a trade between the two market participants based on the new firm orders. If the first market participant had made both the first conditional order and a different firm order before a potential match was identified, the different firm order could be canceled and effectively replaced by a new firm order.
  • a scorecard can be used to monitor the performance of market participants with respect to the conditional order system, and to limit the likelihood of market participants not honoring conditional orders. For instance, if a market participant does not have sufficient volume to trade when an invitation is received (after a potential match is identified), and consequently cannot complete a trade, the market participant may receive a negative adjustment to their score. If a market participant has sufficient volume to trade when the invitation is received and subsequently completes a trade, the market participant may receive a positive adjustment to their score.
  • a market participant’s scorecard can aggregate all or a portion of the market participant’s previously received scores. Accordingly, each market participant’s scorecard is indicative of the market participant’s performance in completing conditional orders. A market participant that has an aggregate score that falls below a threshold level can, for example, be blocked from further participation in the exchange’s conditional order system. Due to consequences of poor performance, market participants will be more likely to honor their conditional offers.
  • the disclosed conditional order engine also solves problems of technological advantage that has arisen in the unique context of electronic and hybrid exchanges. For example, some market participants have sought advantage over others through the use of sophisticated computer algorithms that can analyze market conditions and react to changes by placing large volumes of orders at relatively high speeds-typically, within fractions of a second of a detected change. Such market participants also often invest large sums in cutting-edge computer systems that can process and send orders at the highest possible speed. Similarly, some market participants invest significant resources on the fastest network connections and place their computers as close to the exchange as possible to reduce communications latency between their computers and the exchange.
  • conditional trading engine described in this application can be used to implement time thresholds for decisioning that asymmetrically vary depending upon whether a potential transaction involves an algorithmic trader.
  • the technology may purposefully delay completion of a transaction, to enable a human trader to assess their options and to reach a decision based on information that was submitted to the exchange computer system by an algorithmic counterparty.
  • the disclosed order engine may be implemented in a manner enabling users to define and employ risk thresholds and other risk controls on an order- by-order basis. This allows for the rapid cancelation of pending orders associated with a particular threshold upon that threshold’s breach or leading up to the threshold’s breach, while orders associated with different thresholds remain open.
  • This granular approach to risk control and the associated data structures dramatically improve the speed and computational efficiency of order cancelation, which can otherwise be computationally intensive.
  • the granularity enables users to employ multiple risk strategies that are tailored to particular needs and positions, and to rapidly react to changing market conditions.
  • a method for conditional trading implemented via an exchange computer system includes receiving, from a first user device connected to the exchange computer system, data indicative of a first conditional order for a financial instrument, and receiving, from a second user device connected to the exchange computer system, data indicative of a second conditional order for the financial instrument.
  • the method includes determining that the first conditional order and the second conditional order potentially match.
  • the method includes, responsive to determining that the first conditional order and the second conditional order potentially match, sending an invitation to the first user device to submit a first firm order for the financial instrument and an invitation to the second user device to submit a second firm order for the financial instrument.
  • the method includes receiving the first firm order for the financial instrument from the first user device and the second firm order for the financial instrument from the second user device. Additionally, the method includes determining that the first firm order for the financial instrument passes risk controls. Further, the method includes executing a trade based on the first firm order and the second firm order, and sending a first report to the first user device and a second report to the second user device, the first report and second report each including data indicative of a quantity of the financial instrument traded.
  • the exchange computer system is a distributed computer system that includes an order entry port, an order routing system, an order matching system, a risk management gateway, and a conditional order engine.
  • the order entry port is configured to receive the first conditional order
  • the order routing system is configured to route the first conditional order according to a destination associated with the first conditional order.
  • the conditional order engine may be configured to determine that the first conditional order and the second conditional order potentially match based on one or more matching rules, and the order matching system may be configured to match the first firm order and the second firm order.
  • the conditional trading order engine determines whether the first firm order for the financial instrument passes risk controls based on information received through the risk management gateway, which may have a graphical user interface.
  • the risk controls may include, for example, determining whether the first firm order satisfies one or more of: a fat-finger check, a single order limit, a traded value limit, and a cumulative daily traded value limit. Based on the risk controls, a number of orders processed by the exchange computer system can be reduced, thereby reducing the amount of bandwidth and processing resources required by the exchange computer system and other networked computing devices.
  • risk controls provided by a user through a risk management gateway can be implemented automatically by the exchange computer system without further user instruction, the amount of network traffic involved in canceling an order based on a risk threshold being surpassed can be sharply reduced, compared to scenarios in which additional messages, instructions, and/or other data must be exchanged.
  • a threshold for a user to take action based on information received or provided to the conditional order engine may change, depending on whether the user is an algorithm, and/or on whether the user on the other side of a potential trade is an algorithm. For example, if the user of the first user device is an algorithm, and the user of the second user device is also an algorithm, time thresholds for both users may be the same. Similarly, if the user of the first user device is a not an algorithm, and the user of the second user device is also not an algorithm, time thresholds for both users may be the same. However, if the user of the first user device is not an algorithm, and the user of the second device is an algorithm (or vice-versa), the time thresholds for each user may be differ.
  • the invitation to submit the second firm order may be sent to the second user device within a first time threshold of the first invitation to submit the first firm order being sent to the first user device.
  • the second firm order from the second user device may be received within a second time threshold of the second invitation to submit the second firm order being sent.
  • the first time threshold may be thirty seconds
  • the second time threshold may be one second.
  • the first and second users are both algorithms
  • the first and second time thresholds may both be one second.
  • the first and second time thresholds may both be thirty seconds.
  • a first user of the first user device cancels the first conditional order. Cancelation of the first conditional order may be reported to a conditionals compliance mechanism. If the conditionals compliance mechanism determines that a score of the first user has fallen below a threshold, the conditionals compliance mechanism may suspend trading by the first user.
  • the score may be, for example, a firm-up ratio.
  • the first invitation to submit the first firm order for the financial instrument is configured to cause a graphical user interface of the first user device to display invitation information.
  • the first report is configured to cause the graphical user interface of the first user device to display execution information including a quantity of the financial instrument traded
  • the second report is configured to cause the graphical user interface of the second user device to display execution information including a quantity of the financial instrument traded.
  • the first conditional order includes a first quantity of the financial instrument
  • the second conditional order includes a second quantity of the financial instrument.
  • the first quantity and the second quantity may meet an order size threshold.
  • the trade is executed within a Protected National Best Bid or Offer (PNNBO).
  • PNNBO Protected National Best Bid or Offer
  • the method proceeds by matching the first conditional order for the financial instrument to the second conditional order for the financial instrument based on price priority, broker priority, size priority, or a time priority.
  • an exchange computer system includes an order entry port configured to receive, from a first user device connected to the exchange computer system, data indicative of a first conditional order for a financial instrument.
  • the exchange computer system is further configured to receive, from a second user device connected to the exchange computer system, data indicative of a second conditional order for the financial instrument.
  • the exchange computer system includes an order routing system configured to route the first conditional order according to a destination associated with the first conditional order.
  • the exchange computer system is further configured to route the second conditional order according to a destination associated with the second conditional order.
  • the exchange computer system includes a conditional order engine configured to determine whether the first conditional order for the first financial instrument passes risk controls based on information received through a risk management gateway.
  • the exchange computer system is configured to determine that the first conditional order and the second conditional order potentially match.
  • a first invitation is sent to the first user device to submit a first firm order for the financial instrument
  • a second invitation is sent to the second user device to submit a second firm order for the financial instrument.
  • the second invitation to submit the second firm order may be sent to the second user device within a first time threshold of the first invitation to submit a first firm order being sent to the first user device.
  • the second firm order, originating from the second user device is received within a second time threshold of the second invitation to submit the second firm order for the financial instrument being sent.
  • the first and second time thresholds may vary depending on whether the first user is an algorithm and/or whether the second user is an algorithm.
  • the exchange computer system has an order matching system configured to receive the first firm order from the first user device, to receive the second firm order from the second user device, and to execute a trade based on the first firm order and the second firm order.
  • the described implementations advantageously allow an exchange computer system to (1 ) process a greater volume of transactions in shorter periods of time; (2) improve exchange performance and customer satisfaction by allowing market participants to trade larger volumes of financial instruments in a conditional or paired manner than volumes they would otherwise trade using firm orders; (3) increase the bid- ask spread while minimizing risk exposure to market participants; (4) reduce network congestion when users opt not to use invitations for generating firm orders; and (5) improve computerized accountability of market participants, i.e. , users of the electronic exchange system disclosed herein.
  • the exchange computer system can process a larger volume of trades at a faster pace and increase profitability.
  • the technology disclosed herein may purposefully delay completion of a transaction by utilizing a conditional order, thus enable the human trader to assess their options and to reach a decision based on information that was submitted to the exchange computer system by the algorithmic trader.
  • algorithmic traders cannot leverage a time-related advantage in the disclosed conditional trading technology, because the electronic exchange system applies a different predetermined or randomized time delay (i.e. , a time threshold) to human traders and algorithmic traders. For example, if a first user and a second user are both human traders, the electronic exchange system may apply the same predetermined or randomized time delay to decision-making.
  • the electronic exchange system may give both of the algorithmic traders the same amount of time to make a decision.
  • a non-algorithmic or human trader can be provided necessary time to evaluate a given conditional order before deciding whether to proceed.
  • conditional trading technology advantageously enables market participants to shield information pertaining to aspects of the conditional order from the larger market.
  • a human trader can pursue trading strategies leveraging the conditional order engine without signaling their position to algorithmic traders operating outside of the conditional order engine.
  • the human trader can submit orders for a large amount of a given option or security without signaling the strategy to algorithmic traders that can detect, replicate, and execute the strategy in fractions of a second in conventional exchanges that do not employ the conditional trading technology herein disclosed.
  • the human trader can explore trades without signaling their position to the larger market, thus preventing algorithmic traders from front-running the trader’s position.
  • Other implementations of this aspect include corresponding systems, devices, processes, apparatus, computer-readable media, and computer programs recorded on computer storage devices, each configured to perform the operations of the methods.
  • FIG. 1 is an example diagram of an exchange computer system and associated networks, devices, and users.
  • FIG. 2 is a flowchart of an example method for implementing conditional orders in the electronic exchange system of FIG. 1.
  • FIG. 3 is a flowchart of another exemplary method for implementing conditional orders in the electronic exchange system of FIG. 1.
  • FIG. 1 is an example diagram of an exchange computer system and the associated networks, devices, and users that make up an exemplary trading environment in which the exchange computer system operates.
  • the diagram includes an exchange computer system 110, other exchanges 112, a network 114, user devices 116, 118, 120, market makers/brokers 122, and an electronic order book 124.
  • the term “user” can refer to any entity that interacts with the exchange computer system and/or associated networks and devices. Users can include, for example, market makers, market participants, brokers, institutional traders, individual traders, and automated trading systems.
  • the user device 118 can be an algorithmic trader.
  • users 116 and 118 can be human traders.
  • a user can be refer to as a member, as defined under exchange rules, or a clearing member, who is a member of a Qualified Clearing Agency authorized to clear transactions on behalf of another member, as defined under exchange rules. If a clearing member is the user, the clearing member can be required to request authorization from the exchange computer system 110 to receive data indicative of a current or previous risk profile setting of the member on behalf of whom the clearing member is acting.
  • the exchange computer system 110 can be implemented in a fully electronic manner, or in a hybrid manner that combines electronic trading with aspects of traditional open-outcry systems.
  • the exchange computer system 110 can receive orders for trading financial instruments locally on the floor and from remote electronic devices.
  • the financial instruments can include securities such as stocks, options, futures, or other derivatives associated with an underlying asset.
  • the orders received and processed by the exchange computer system 110 can include conditional orders and firm orders.
  • Conditional orders are orders to buy or sell a financial instrument when conditions specified by the user are satisfied.
  • Conditional orders can include limit orders and stop orders.
  • a limit order is an order to automatically buy or sell a financial instrument at a maximum bid price to be paid or at a minimum offer price to be received, as specified by the user.
  • a stop order is an order to buy or sell when the financial instrument’s market price has reached or surpassed the user’s requested price.
  • Limit orders and stop orders can be placed above and below the market price.
  • Conditional orders disclosed herein can also prevent features or metrics of an order, such as price, volume, value, and the like from becoming known to users outside of the conditional order system.
  • Network 114 connects the various components within the trading environment, and is configured to facilitate communications between those components.
  • network 114 can enable the exchange of electronic communications that include order and order fulfillment information between connected devices, such as an electronic order book 124 and the exchange computer system 110.
  • Network 114 can include one or more networks or subnetworks, each of which can include a wired or wireless data pathway.
  • Network 114 can, for example, include one or more of the Internet, Wide Area Networks (WANs), Local Area Networks (LANs), or other packet-switched or circuit-switched data networks that are capable of carrying electronic communications (e.g., data or voice communications).
  • WANs Wide Area Networks
  • LANs Local Area Networks
  • packet-switched or circuit-switched data networks that are capable of carrying electronic communications (e.g., data or voice communications).
  • the network 114 can include a communications network inclusive of hardware and software implemented on various systems, devices, and components connected to network 114.
  • trader information such as a trader's speech and actions, can be recorded by a user device (e.g., a computer or portable device such as a cellular phone) at the location of the trader using sensors, cameras and microphones, and can be continuously transmitted across the network 114 to other devices connected to the network 114.
  • network 114 can implement security protocols and measures such that data identifying order or bid information, or parties placing orders or quotes, can be securely transmitted.
  • Network 114 can, for example, include virtual private networks (VPNs) or other networks that enable secure connections to be established with exchange computer system 110.
  • VPNs virtual private networks
  • User devices 116, 118, and 120 can include portable or stationary electronic devices, such as smartphones, laptops, desktops, and servers that include user interfaces to display information and receive user input, and that are configured to communicate over a computer network.
  • User devices 116, 118, and 120 can communicate with the exchange computer system 110 over network 114 using a proprietary protocol, or a message-based protocol such as financial information exchange (FIX), implemented over TCP/IP.
  • the user devices 116, 118, and 120 may include or be coupled to one or more user interfaces such as a keyboard, mouse, or display device through which user input, such as user selections, can be received.
  • a display device in a user device 116, 118, or 120 can be configured to display a web portal or graphical user interface through which a user can provide input related to a conditional order.
  • User devices 116, 118, and 120 can transmit user input such as order information, including any conditional orders, to the exchange computer system 110, and can also receive data from the exchange computer system 110 indicating that an order has been filled or canceled.
  • the data can be conveyed in various suitable ways including, for example, in the form of a report providing details of a trade or cancellation.
  • the details in the report can include one or more of the parties or firms involved, the financial instrument being traded, the price and quantity of the trade, the time at which the trade was completed or canceled, and the venue of the exchange at which the trade was executed or canceled.
  • one or more details of the report can be sanitized or anonymized such that the one or more details (e.g., parties involved in the trade, volume traded, or value of the trade) of the report are omitted from the report.
  • Users such as brokers/market makers or market participants 122, can also place orders and receive information about order fulfillment or termination through electronic order book 124, which can include a record of outstanding public customer limit orders that can be matched against future incoming orders.
  • the exchange computer system 110 includes an order entry port (not shown), an order routing system (ORS) 132, an order matching system (OMS) 134, a conditional order engine 136, a database 142 of trading rules and algorithms, storage 144, and a risk management gateway 146.
  • the conditional order engine 136 includes a market participant (MP) scorecard repository 138 and an invitation generator 140.
  • the exchange computer system 110 can be integrated at a single location or a single device, e.g., in the form of a server, or can be distributed over a wired or wireless computer system.
  • the ORS 132 can determine whether a received order or quote is to be executed at the exchange computer system 110, or should instead be redirected to another exchange 112.
  • the ORS 132 can include or be coupled to processing systems that enable the management of high data volumes and one or more order entry ports that are configured to receive order or quote information (e.g., a conditional order) for the purchase or sale of financial instruments from one or more user devices 116, 118, 120, and 124.
  • the ORS 132 can also be connected to or include a touch-screen order routing and execution system accessible by brokers on the exchange floor, such as a public automated routing (PAR) system.
  • PAR public automated routing
  • the ORS 132 can determine if the destination specified in the received order or quote is the exchange computer system 110. If the exchange computer system 110 is not the destination, the ORS 132 forwards the order or quote to another exchange 112, which can be either the destination exchange, or an exchange en route to the destination exchange.
  • the ORS 132 can forward the received order or quote to the OMS 134.
  • the ORS 132 can include or be coupled to an order entry port that receives the order and forwards the received order to the OMS 134.
  • the ORS 132 is configured to route a conditional order according to a destination associated with the first conditional order.
  • the OMS 134 includes processing systems that analyze and manipulate orders according to matching rules stored in the database 142.
  • the OMS 134 can also include an electronic book (EBOOK) of orders and quotes with which incoming orders to buy or sell are matched, according to the matching rules.
  • the EBOOK can also be implemented in a separate database such as storage 144, which can include multiple mass storage memory devices for the storage of order and quote information.
  • the OMS 134 determines that a match exists for an order (for example, when a bid matches an offer for sale), the OMS 134 can mark the matched order or quote with a broker-specific identifier so that the broker sending the order or quote information can be identified.
  • the fill information is passed through OMS 134 and ORS 132 to one or more user devices 116, 118, 120, and 124, and to a continuous trade match (CTM) system.
  • CTM continuous trade match
  • the CTM system matches the buy side and sell side of a trade, and forwards the matched trade to a third party organization that verifies the proper clearance of the trade, such as the Options Clearing Corporation (OCC) where the securities can be options, or the Depository Trust Company (DTC) where the securities can be equities.
  • OCC Options Clearing Corporation
  • DTC Depository Trust Company
  • the OMS 134 also formats the quote and sale update information and sends that information through an internal distribution system that refreshes display screens on the floor, in addition to submitting the information to a quote and trade dissemination service such as, in the case of options, the Options Price Reporting Authority (OPRA). In the case of equities, the information would be submitted to the Securities Information Processor (SIP).
  • SIP Securities Information Processor
  • the OMS 134 is configured to match the first conditional order for the financial instrument to the second conditional order for the financial instrument based upon additional metrics that include one or more of a price priority, broker priority, size priority, or time priority.
  • Storage 144 and database 142 store and handle data in a manner that satisfies the privacy and security requirements of the exchange computer system 110 and its users, and can store one or more of telemetric data, user profiles, user history, and rules and algorithms for matching quotes, bids, and orders.
  • the database 142 can store data that specifies the rules by which the exchange computer system 110 can operate, as well as specific rules for processing conditional orders. For example, the database 142 can identifying the type of conditions that can be applied to an order and how a market participant can be scored upon the completion or failure of a conditional order.
  • the exchange computer system 110 includes a conditional order engine 136, which can be implemented using a combination of software and hardware configured to execute one or more algorithms for processing conditional orders, as described in further detail below.
  • one or more parts of the conditional order engine 136 can be integrated with other parts of the exchange computer system 110.
  • the MP scorecard repository 138 can be implemented within storage 144, which could be integrated with or coupled to the conditional order engine 136.
  • a processor of the conditional order engine 136 may be integrated with or coupled to one or more processors of the exchange computer system 110 such as a processor of the ORS 132 and/or OMS 134.
  • the conditional order engine 136 can be coupled to one or more user interfaces such as a keyboard, mouse, or display device.
  • the MP scorecard repository 138 is a database in which the scorecards for the various users of the exchange computer system 110 are stored.
  • a scorecard can be generated for each user and is representative of the aggregate score for each user.
  • a user can be scored based on a trading performance of the user. If a user has a strong record of filling orders and following market participant rules, obligations, and protocols, the user receives positive scores. In contrast, if a user has a weak record of filling orders and following market participant rules, obligations, and protocols, the user receives negative scores.
  • Different scores can be assigned to users based on the type of action, transaction, or violation. For instance, a user who completes a high volume or value trade may receive a higher positive score than a user who completes a lower volume or value trade.
  • a user who completes a firm order may receive a first score (which can be implemented in the form of points) as the user’s score.
  • a user who completes a trade based originally from a conditional order may receive a second score (e.g., second number of positive points) that is different from the first score (e.g., first number of positive points).
  • the first score and second score may be determined at the conclusion of the transaction before the report is compiled.
  • the first score and second score may be stored in the electronic exchange system and associated with their respective users.
  • the MP scorecard repository 138 includes a conditionals compliance mechanism. Should the first or second user cancel their respective conditional orders, the cancelation is reported to the conditionals compliance mechanism and stored in the MP scorecard repository 138.
  • the conditionals compliance mechanism determines whether the score of the first and second users have fallen below the minimum scorecard threshold level. If the score falls below the minimum scorecard threshold level, the conditionals compliance mechanism suspends trading by either or both of the first and second user. In at least one example, the score is based upon a firm-up ratio, i.e. , a ratio indicating a percentage of a given user’s previous conditional orders that have matured into form orders.
  • the exchange computer system 110 can check the score of the user and determine whether to accept or reject the order. If the user has a score below the minimum scorecard threshold level, the user can be blocked and a message can be sent to the user informing the user of the reason for the block. If the user has a score above the minimum scorecard threshold level, the exchange computer system 110 can proceed with subsequent operations such as the ones described below in FIG. 2. If the user was not previously listed in the scorecard, the conditional order engine 136 can create a new entry for the user and assign a neutral score to the user that is above the minimum scorecard threshold level.
  • the invitation generator 140 is configured to generate an invitation for a user to create a new firm order based on the terms set forth in an existing conditional order, as described in more detail below with respect to FIG. 2.
  • the invitation generator 140 can generate the invitation in response to a signal received from the OMS 134 indicating that two conditional offers are a likely (potential) matched.
  • the invitation generated by the invitation generator 140 can be a message transmitted through network 114 to user devices 116, 118, 120 or market participants 122.
  • the message can be an electronic message or a printed message and can include terms from a conditional order that are to be used to generate a new firm order.
  • the risk management gateway 146 includes risk parameters for each market participant, including the first user and the second user. For example, each market participant can set a single order limit, a traded value limit, and a cumulative daily traded value limit.
  • the risk management gateway 146 can be configured to cause a graphical user interfaces of user devices to display information pertaining to orders. If a conditional order or firm order meets or exceeds risk parameters set by a particular user, the conditional order engine can send a warning to that user, and can cancel that order, and/or prevent further orders from being excecuted.
  • the risk management gateway 146 can also include a fat-finger check, such that each conditional order is checked for typographical errors and accidental additions or omissions. In one example, based upon the risk parameters, the risk management gateway 146 may determine that an order for 100,000 shares of XYZ is an error, and should instead be 10,000 shares of XYZ. The risk parameters set by each user in the risk management gateway 146 substantially prevent mistakes generated at the conditional order from maturing into firm orders. As such, the risk management gateway 146 may communicate with various aspects of the exchange computer system 110, such as the conditional order engine 136, the rules database 142, storage 144, and the like.
  • FIG. 2 is a flowchart of an example method 200 for processing conditional orders in an electronic exchange system.
  • the electronic exchange system is configured to execute operations 210-270 and includes one or more servers that are the same as or similar to the exchange computer system 110 described with respect to FIG. 1. Orders may be received from user devices, such as user devices 116, 120, or market participants 122.
  • an exchange server of the electronic exchange system receives data indicative of a first conditional order from a user device (referred to as first user device).
  • a user associated with the first user device may be willing to take some risk in return for trading larger volumes or improved profits.
  • the user may be interested in placing a conditional order in which the user offers to trade a financial instrument at a different (e.g., larger) quantity or price of the financial instrument than the user is willing to commit to in a firm order.
  • the user takes some risk because, by the time another conditional order is matched to the user’s conditional order, the user may no longer have the volume offered in original the conditional order.
  • the first conditional order can be received when a firm order for the same symbol is available at the same or other venues, including other electronic exchange systems. For instance, a firm order can be placed at a trading venue that only accepts firm orders. At the same time, a conditional order for the same symbol can be received by the exchange server of the electronic exchange system implementing method 200, which is configured to receive and process conditional offers and firm offers.
  • a user can place a firm order for 30,000 shares of XYZ in a venue only accepting only firm orders, and place a conditional order for 40,000 shares of XYZ at another venue that also accepts conditional orders.
  • the exchange server of the electronic exchange system can receive both the firm order and the conditional order from the first user device.
  • the user can use a trading program on the first user device and provide the terms and conditions at which the user would like to place the order. For example, the user can make selections and provide input regarding the price, quantity, and any other condition (e.g., minimum volume, maximum price, preferred date, and expiration of the order) through a graphical user interface, keyboard, or mouse of the first user device for trading the financial instrument.
  • the trading program on the first user device receives the conditional order information, generates a conditional order based on the received information, and instructs the first user device to transmit the conditional order to the exchange server of the electronic exchange system.
  • the user can select the option of pair trading in which two conditional orders must be executed simultaneously.
  • a user can specify a ratio as one of the parameters for executing a pair trade.
  • the ratio can be defined flexibly by the user (e.g., one leg - buy 11 ,000 shares of ABC; and second leg - sell 19,000 shares of XYZ, provided that the absolute net value of the trade is less than $4,000).
  • the ratio can be expressed in the form of a delta of the option.
  • an option quote can be paired with an underlying financial instrument (e.g. futures contract), provided both are traded in the same venue.
  • an underlying financial instrument e.g. futures contract
  • Conditional orders that include pair trading conditions can create a powerful market making regime in which the sizes and the spreads for the pair are significantly more attractive than is possible with trades according to current market trading practices.
  • the exchange server of the electronic exchange system can receive data indicative of a second conditional order from another user device (referred to as second user device).
  • a user of the second user device may place the second conditional order in a similar manner as described above with respect to the user of the first user device.
  • the electronic exchange system can receive large (e.g., thousands) numbers of orders each second from various devices of market participants.
  • the electronic exchange system determines whether the first and second conditional orders potentially match.
  • an order matching system can determine that a match exists for an order (for example, when an offered quantity and price of a financial instrument in the first conditional order matches a quantity and price of the financial instrument in the second conditional offer), and can mark the matched order or quote with a broker-specific identifier so that the broker sending the order or quote information can be identified.
  • the conditional order engine of the exchange server can determine that the two orders are potentially a match.
  • the electronic exchange system advantageously does not lock the order book for a specific symbol in order to accept and process paired trades.
  • the order book By keeping the order book unlocked, greater flexibility in order handling can be achieved and multiple executions around the same symbol(s) can be executed in a tight time frame.
  • the electronic exchange system determines that the first and second conditional orders do not match, the electronic exchange system can wait until a potential match with subsequently received conditional orders is detected. If no potential match between available orders is detected for a certain period of time, the method 200 may cancel the current second conditional order.
  • operation 235 after terminating the current second conditional order, the electronic exchange system searches for a new second conditional order. Operation 235 then proceeds to operation 230 in order to determine whether the first conditional order and the new second conditional order match. When a match is confirmed at operation 230, the method proceeds to operation 240.
  • the electronic exchange system generates and transmits an invitation to generate a new firm order.
  • the electronic exchange system can send a signal or instruction to the invitation generator of the conditional order engine to generate an invitation for each of the users to convert their respective conditional orders to firm orders. For example, a new first firm order can be generated based on the first conditional order, and a new second firm order can be generated based on the second conditional order.
  • the invitation for generating the first firm order is transmitted to the first user device and the invitation for generating the second firm order is transmitted to the second user device.
  • one or more details of the orders or potential trade can be sanitized or anonymized such that the details are omitted from the invitation.
  • details specifying the parties involved in a potential trade, or quantity to be traded can be omitted from the invitation.
  • a firm order placed outside of the conditional order system may disclose details of the order such as volume and price to the wider market.
  • the users of the first user device and second user device may have previously-existing but unfilled firm orders (i.e. , one or more invitations that have not matured into firm order(s)) associated with the same symbol or volume.
  • the invitation to generate a firm order can include an indication of one or more of the following: (1 ) an invitation pending time period, and (2) an instruction to update related firm orders.
  • the invitation pending time period is a time period during which the invitation is pending. After the time period is complete, the invitation may expire.
  • the invitation’s pending time period can be determined by the exchange computer system, the one or more user devices, or both.
  • the invitation pending time period is of a reasonable length of time that would allow a user to perform these actions.
  • the invitation’s pending time period extends for a predetermined or randomized amount of time.
  • the predetermined amount of time is between about 25 seconds and about 60 seconds, such as about 30 seconds or about 45 seconds.
  • the predetermined period of time can be between about 30 seconds and about 90 seconds, such as about 60 seconds or about 75 seconds.
  • the predetermined amount of time is between about 1 second and about 60 seconds.
  • the conditional order engine in the electronic exchange system can determine whether the financial instrument volume specified by the first conditional order is still available, and if so, cancel the previously-existing firm order. For example, if the unfilled firm order was for 19,000 shares of XYZ and the conditional order was for 20,000 shares of XYZ, the conditional order engine 136 will verify that 20,000 XYZ share are still available, cancel the firm order for 19,000 XYZ shares, and convert the conditional order to a new firm order for 20,000 XYZ shares at the price offered in the conditional order. If no previously-existing firm order exists, the electronic exchange system can generate a new firm order without sending an invitation to the first and/or second users.
  • the generation of firm orders in the above-noted manner can be an option made available to users should the users prefer such expeditious trading functionality to a manual one in which the user is prompted to accept the generation of a new firm order or cancellation of previously-existing but unfilled firm orders.
  • This method provides the benefit of reducing network congestion, e.g., by reducing the number of messages that are sent between the exchange server and user devices, increasing the speed at which the trade can be completed, and providing greater convenience to the users because the transaction does not require additional user input other than the received conditional orders.
  • the electronic exchange system includes one or more purge ports configured to cancel one or more sets of orders.
  • the purge ports can be coupled to the conditional order engine 136.
  • a purge port may refer to a dedicated port that permits a user to simultaneously cancel all or a subset of its orders in one or more symbols across multiple logical ports by requesting the exchange computer system 110 to effect such cancellation.
  • the conditional order engine 136 may generate and send instructions to a purge port to cancel orders that are associated with a symbol or firm order upon a determination by the conditional order engine 136 or receipt of a message from user device interested in generating a new order from a conditional order.
  • the electronic exchange system receives a new firm order from the first user device and a new firm order from the second user device.
  • the new first firm order corresponds to the terms of the first conditional order and can be received in response to the invitation sent by the exchanger server to the first user device.
  • a new second firm order corresponds to the terms of the second conditional order and can be received in response to the invitation sent by the exchanger server to the second user device.
  • the new firm orders can be automatically generated by the electronic exchange system if the system has received previous authorization to do so from the users.
  • the electronic exchange system determines that the two firm orders are a match and executes the trade of the new firm orders. For example, the OMS 134 can determine if the quantity of financial instruments and price specified in the second firm order matches the quantity of financial instruments and price specified in the first firm order received from the first user device. When a match exists, a trade based on the firm and second firm orders is executed.
  • the exchange server can also determine if the user associated with the first user device can still trade the quantity of the financial instruments specified by the second firm order. If the quantity is not available, both firm orders can be canceled and the scorecard of the user associated with the first user device can have a negative score added. If the quantity is available and the trade is completed, the scorecard of the user associated with the first user device can have a positive score added.
  • the electronic exchange system generates and transmits a report that includes information of the executed trade.
  • the report is sent to all users having executed the one or more firms orders in a given transaction.
  • the information in the report can include one or more of details regarding the parties or firms involved, the financial instrument being traded, the price and quantity of the trade, the time at which the trade was completed, and details of any earlier placed, pre-existing firm orders that were canceled in the process of implementing the trade.
  • the report can be transmitted to the first user device, second user device, and/or other exchanges.
  • a report is transmitted to the first user device and second user device.
  • the report can include data indicative of the cancelation of the respective user device’s firm order.
  • the report can also include a reason for the cancellation and other details such as a date and time of cancellation.
  • the report can be displayed in the graphical user interface of each user device.
  • FIG. 3 is a flowchart of another exemplary method 300 for implementing conditional orders in the electronic exchange system.
  • the method 300 includes each of the operations 210-270 described above with respect to the method 200. However, the method 300 includes operation 310 in which the electronic exchange system determines that that one or both of the first and second firm orders pass risk controls. [0084] At operation 310, the method proceeds by determining whether the order for the first financial instrument passes risk controls. As noted above, the conditional order engine determines whether the order for the first financial instrument passes risk controls based on information received through the risk management gateway.
  • the risk controls can include determining whether the first firm order or second firm order satisfies one or more of: a fat-finger check, a single order limit, a traded value limit, and a cumulative daily traded value limit.
  • implementing the risk controls herein disclosed reduces the overall number of firm orders to be processed by the electronic exchange system and other networked computing devices, thereby enabling greater efficiency by reducing the bandwidth and processing resources required by the electronic exchange system and the other devices.
  • the fill information is passed through an OMS and ORS to one or more user devices and to a CTM system.
  • the CTM system matches the buy side and sell side of a trade, and forwards the matched trade to a third party organization that verifies the proper clearance of the trade.
  • the OMS can format the quote and sale update information and send that information through an internal distribution system that refreshes display screens on the floor, in addition to submitting the information to a quote and trade dissemination service such as, in the case of options, the Options Price Reporting Authority (OPRA).
  • OPRA Options Price Reporting Authority
  • the information would be submitted to the Securities Information Processor (SIP).
  • the electronic exchange system can transmit the report through any suitable user-selected method, such as e-mail messaging, text messaging, fax messaging, or, in general, other suitable mechanisms for securely transmitting messages.
  • the user device can generate an alarm signal to indicate to the user that a trade report has been received.
  • the alarm signal can be output in the form of a flashing LED light, graphical message displayed on a display of the user device, or audio signal.
  • method 200 can also be used to execute partial orders.
  • a third conditional order for a financial instrument may also be received at or around the same time the first and second conditional order for the financial instrument are received.
  • the third conditional order may be generated and transmitted from the first user device, the second user device, or a third user device.
  • the conditional order engine can determine that a potential match exists when it determines that the first quantity of the first order is equal to or greater than a sum of the second quantity associated with the third conditional order (e.g., a bid) and a third quantity of the financial instrument associated with the third conditional order (e.g., a bid).
  • the conditional order engine can send an instruction to the invitation generator to transmit invitations to the respective devices from which the conditional orders were received to generate new firm orders corresponding to the conditional orders, as described above.
  • the exchange server can determine that a match exists and execute a three-order trade. In some cases, if a firm order corresponding to one of the second or third conditional order is received and a firm order corresponding to the other one of the second or third conditional order is not received, the exchange server can execute a trade based on the first firm order and the firm order corresponding to one of the second or third conditional order that is received.
  • the first firm order can be updated to generate either a new firm order or a new conditional order based on any quantity of the financial instrument that remains after the trade is executed.
  • the conditional order received from that device can, in some cases, be canceled or, in some cases, can remain open to be matched in future.
  • the scorecard for the user from whom a response to an invitation is not received can receive a negative score. The negative score is indicative of the lack of response, and more generally, the poor trading performance of the user.

Abstract

An exchange computer system enhanced with the ability to implement conditional orders is described. Conditional orders can be received from two or more user devices networked with the exchange computer system. The exchange computer system can identify a potential match between the received conditional orders, and can send invitations to trade to each of the user devices from which the potentially matching conditional orders were received. Each invitation can include, for example, a request to generate and send a new firm order corresponding to the respective user's conditional order. If each of the users transmit new firm orders or otherwise confirm willingness to trade based on information provided in the invitations, the exchange computer system can then process and execute a trade based on the new firm orders.

Description

CONDITIONAL ENGINE
CROSS REFERENCE TO RELATED APPLICATIONS
[0001] This application claims the benefit of U.S. Patent Application No. 17/700,256, filed March 21, 2022, and U.S. Provisional Application No. 63/196,447, filed June 3, 2021 , all of which are incorporated herein by reference in their entirety.
TECHNICAL FIELD
[0002] This application relates to technology for trading financial instruments in electronic exchanges, as well as hybrid exchanges that combine electronic and open- outcry trading mechanisms.
BACKGROUND
[0003] High volumes of financial instruments, such as derivatives, stocks, and bonds, are continuously traded in real time at electronic exchanges through algorithmic processing of orders and associated market information. Generally, a trade may be executed when the price associated with a bid to purchase a financial instrument matches the price associated with an offer to sell the same instrument. Market participants typically price their bids and offers based on market conditions, which are subject to rapid change, and exchanges often match bids and offers based on price time priority, and the principle of first-in, first-out (FIFO).
SUMMARY
[0004] Market conditions rapidly change, and changes in market conditions introduce risks with respect to fixed orders that may no longer be advantageous to the market participants who submitted them. For example, in an electronic or hybrid exchange environment in which millions of transactions are executed each second and unforeseen events occur frequently, market participants can greatly benefit from enhanced control and flexibility over their orders; enhanced control and flexibility for market participants can also reduce the bandwidth and computing resources required by the exchange and networked computer systems by, for example, reducing the number of orders that ultimately need to be processed.
[0005] This disclosure relates to an exchange computer system including a conditional order engine that provides market participants with additional flexibility, allows trades to occur that otherwise would not have occurred, and reduces the amount of network traffic necessary to implement complicated strategies, thereby freeing up resources and bandwidth for every machine involved, both local and remote to the exchange. For example, unlike a firm order (e.g., a market order), a conditional order does not have to be filled instantly. Instead, a conditional order allows a market participant to set one or more preferred metrics, such as quantity or price at which to bid or offer for a financial instrument, with the aim of completing the order either all at once, or in a series of trades with other conditional order participants.
[0006] A conditional order can be entered well in advance of the related trade(s), such that the market participant’s preferences for completing that order are input to the exchange computer system, which can then monitor market activity to identify potentially matching orders on behalf of that market participant, and invite market participants to trade when the potential matches are identified.
[0007] For instance, a first market participant can place a first conditional order for selling a particular quantity of a financial instrument at a certain price and optionally place a firm order for selling a different quantity of the financial instrument at the same or at a different price. A second market participant can place a second conditional order for buying a certain quantity of the financial instrument at a certain price. The exchange computer system can determine that the terms (e.g., price, quantity) of the first conditional order and the terms of the second conditional order match. The exchange computer system can then generate a pair of invitations for the market participants to submit new firm orders matching the terms of the identified conditional orders. Upon receiving the new firm orders from both market participants in place of the conditional orders (or in some implementations generating the new firm orders based on other information received from the market participants), the exchange computer system can execute a trade between the two market participants based on the new firm orders. If the first market participant had made both the first conditional order and a different firm order before a potential match was identified, the different firm order could be canceled and effectively replaced by a new firm order.
[0008] In addition, a scorecard can be used to monitor the performance of market participants with respect to the conditional order system, and to limit the likelihood of market participants not honoring conditional orders. For instance, if a market participant does not have sufficient volume to trade when an invitation is received (after a potential match is identified), and consequently cannot complete a trade, the market participant may receive a negative adjustment to their score. If a market participant has sufficient volume to trade when the invitation is received and subsequently completes a trade, the market participant may receive a positive adjustment to their score. A market participant’s scorecard can aggregate all or a portion of the market participant’s previously received scores. Accordingly, each market participant’s scorecard is indicative of the market participant’s performance in completing conditional orders. A market participant that has an aggregate score that falls below a threshold level can, for example, be blocked from further participation in the exchange’s conditional order system. Due to consequences of poor performance, market participants will be more likely to honor their conditional offers.
[0009] The disclosed conditional order engine also solves problems of technological advantage that has arisen in the unique context of electronic and hybrid exchanges. For example, some market participants have sought advantage over others through the use of sophisticated computer algorithms that can analyze market conditions and react to changes by placing large volumes of orders at relatively high speeds-typically, within fractions of a second of a detected change. Such market participants also often invest large sums in cutting-edge computer systems that can process and send orders at the highest possible speed. Similarly, some market participants invest significant resources on the fastest network connections and place their computers as close to the exchange as possible to reduce communications latency between their computers and the exchange.
[0010] Not all traders have access to these resources, which require massive capital to obtain; accordingly, where there is an objective not to reward the market participants with the fastest algorithms, computers, and network connections, there is a need for technology that reduces the advantages possessed by some traders over others. For example, the conditional trading engine described in this application can be used to implement time thresholds for decisioning that asymmetrically vary depending upon whether a potential transaction involves an algorithmic trader. In such implementations, the technology may purposefully delay completion of a transaction, to enable a human trader to assess their options and to reach a decision based on information that was submitted to the exchange computer system by an algorithmic counterparty.
[0011] In addition, the disclosed order engine may be implemented in a manner enabling users to define and employ risk thresholds and other risk controls on an order- by-order basis. This allows for the rapid cancelation of pending orders associated with a particular threshold upon that threshold’s breach or leading up to the threshold’s breach, while orders associated with different thresholds remain open. This granular approach to risk control and the associated data structures dramatically improve the speed and computational efficiency of order cancelation, which can otherwise be computationally intensive. Moreover, the granularity enables users to employ multiple risk strategies that are tailored to particular needs and positions, and to rapidly react to changing market conditions.
[0012] According to some aspects, a method for conditional trading implemented via an exchange computer system includes receiving, from a first user device connected to the exchange computer system, data indicative of a first conditional order for a financial instrument, and receiving, from a second user device connected to the exchange computer system, data indicative of a second conditional order for the financial instrument. The method includes determining that the first conditional order and the second conditional order potentially match. The method includes, responsive to determining that the first conditional order and the second conditional order potentially match, sending an invitation to the first user device to submit a first firm order for the financial instrument and an invitation to the second user device to submit a second firm order for the financial instrument. The method includes receiving the first firm order for the financial instrument from the first user device and the second firm order for the financial instrument from the second user device. Additionally, the method includes determining that the first firm order for the financial instrument passes risk controls. Further, the method includes executing a trade based on the first firm order and the second firm order, and sending a first report to the first user device and a second report to the second user device, the first report and second report each including data indicative of a quantity of the financial instrument traded.
[0013] In some implementations, the exchange computer system is a distributed computer system that includes an order entry port, an order routing system, an order matching system, a risk management gateway, and a conditional order engine.
[0014] In some implementations, the order entry port is configured to receive the first conditional order, and the order routing system is configured to route the first conditional order according to a destination associated with the first conditional order. The conditional order engine may be configured to determine that the first conditional order and the second conditional order potentially match based on one or more matching rules, and the order matching system may be configured to match the first firm order and the second firm order.
[0015] In some implementations, the conditional trading order engine determines whether the first firm order for the financial instrument passes risk controls based on information received through the risk management gateway, which may have a graphical user interface. The risk controls may include, for example, determining whether the first firm order satisfies one or more of: a fat-finger check, a single order limit, a traded value limit, and a cumulative daily traded value limit. Based on the risk controls, a number of orders processed by the exchange computer system can be reduced, thereby reducing the amount of bandwidth and processing resources required by the exchange computer system and other networked computing devices. For example, because risk controls provided by a user through a risk management gateway can be implemented automatically by the exchange computer system without further user instruction, the amount of network traffic involved in canceling an order based on a risk threshold being surpassed can be sharply reduced, compared to scenarios in which additional messages, instructions, and/or other data must be exchanged.
[0016] In some implementations, a threshold for a user to take action based on information received or provided to the conditional order engine may change, depending on whether the user is an algorithm, and/or on whether the user on the other side of a potential trade is an algorithm. For example, if the user of the first user device is an algorithm, and the user of the second user device is also an algorithm, time thresholds for both users may be the same. Similarly, if the user of the first user device is a not an algorithm, and the user of the second user device is also not an algorithm, time thresholds for both users may be the same. However, if the user of the first user device is not an algorithm, and the user of the second device is an algorithm (or vice-versa), the time thresholds for each user may be differ.
For instance, the invitation to submit the second firm order may be sent to the second user device within a first time threshold of the first invitation to submit the first firm order being sent to the first user device. In addition, the second firm order from the second user device may be received within a second time threshold of the second invitation to submit the second firm order being sent. For example, if the first user is not an algorithm and the second user is an algorithm, the first time threshold may be thirty seconds, and the second time threshold may be one second. As another example, if the first and second users are both algorithms, the first and second time thresholds may both be one second. And, if the first and second users are both not algorithms, the first and second time thresholds may both be thirty seconds. These thresholds are exemplary, and time thresholds of varying lengths (both dynamic and static) may be used. In addition, advantages possessed by algorithmic traders over others may be reduced by introducing time thresholds for slowing transaction speeds at other steps of a conditional order process.
[0017] In some implementations, a first user of the first user device cancels the first conditional order. Cancelation of the first conditional order may be reported to a conditionals compliance mechanism. If the conditionals compliance mechanism determines that a score of the first user has fallen below a threshold, the conditionals compliance mechanism may suspend trading by the first user. The score may be, for example, a firm-up ratio.
[0018] In some implementations, the first invitation to submit the first firm order for the financial instrument is configured to cause a graphical user interface of the first user device to display invitation information. [0019] In some implementations, the first report is configured to cause the graphical user interface of the first user device to display execution information including a quantity of the financial instrument traded, and the second report is configured to cause the graphical user interface of the second user device to display execution information including a quantity of the financial instrument traded.
[0020] In some implementations, the first conditional order includes a first quantity of the financial instrument, and the second conditional order includes a second quantity of the financial instrument. The first quantity and the second quantity may meet an order size threshold.
[0021] In some implementations, the trade is executed within a Protected National Best Bid or Offer (PNNBO). In some implementations, the method proceeds by matching the first conditional order for the financial instrument to the second conditional order for the financial instrument based on price priority, broker priority, size priority, or a time priority.
[0022] According to some aspects, an exchange computer system is disclosed. The exchange computer system includes an order entry port configured to receive, from a first user device connected to the exchange computer system, data indicative of a first conditional order for a financial instrument. The exchange computer system is further configured to receive, from a second user device connected to the exchange computer system, data indicative of a second conditional order for the financial instrument. Additionally, the exchange computer system includes an order routing system configured to route the first conditional order according to a destination associated with the first conditional order. The exchange computer system is further configured to route the second conditional order according to a destination associated with the second conditional order. The exchange computer system includes a conditional order engine configured to determine whether the first conditional order for the first financial instrument passes risk controls based on information received through a risk management gateway.
[0023] In addition, the exchange computer system is configured to determine that the first conditional order and the second conditional order potentially match. A first invitation is sent to the first user device to submit a first firm order for the financial instrument, and a second invitation is sent to the second user device to submit a second firm order for the financial instrument. The second invitation to submit the second firm order may be sent to the second user device within a first time threshold of the first invitation to submit a first firm order being sent to the first user device. The second firm order, originating from the second user device, is received within a second time threshold of the second invitation to submit the second firm order for the financial instrument being sent. As discussed above, the first and second time thresholds may vary depending on whether the first user is an algorithm and/or whether the second user is an algorithm. Additionally, the exchange computer system has an order matching system configured to receive the first firm order from the first user device, to receive the second firm order from the second user device, and to execute a trade based on the first firm order and the second firm order.
[0024] The implementations described in this disclosure provide several systematic and procedural advantages that improve an exchange computer system.
For example, the described implementations advantageously allow an exchange computer system to (1 ) process a greater volume of transactions in shorter periods of time; (2) improve exchange performance and customer satisfaction by allowing market participants to trade larger volumes of financial instruments in a conditional or paired manner than volumes they would otherwise trade using firm orders; (3) increase the bid- ask spread while minimizing risk exposure to market participants; (4) reduce network congestion when users opt not to use invitations for generating firm orders; and (5) improve computerized accountability of market participants, i.e. , users of the electronic exchange system disclosed herein.
[0025] For example, through the use of paired or conditional orders (which a market participant would otherwise be unwilling to do), the exchange computer system can process a larger volume of trades at a faster pace and increase profitability.
Because pairs are simultaneously executed, latency is also improved. Risk is minimized through the use of a conditional order and through an order generation mechanism through which conditional orders can be leveraged to generate firm orders (by virtue of invitations and/or hardware and software in the exchange computer system as described above). Market participants are held accountable by virtue of the exchange computer system scorecard, and can be punished for poor performance by being prohibited from trading if a participant's performance score falls below a threshold level. In this way, the exchange computer system can also ensure that the quality and performance of both the trades and the traders are improved.
[0026] In such implementations, the technology disclosed herein may purposefully delay completion of a transaction by utilizing a conditional order, thus enable the human trader to assess their options and to reach a decision based on information that was submitted to the exchange computer system by the algorithmic trader. Accordingly, algorithmic traders cannot leverage a time-related advantage in the disclosed conditional trading technology, because the electronic exchange system applies a different predetermined or randomized time delay (i.e. , a time threshold) to human traders and algorithmic traders. For example, if a first user and a second user are both human traders, the electronic exchange system may apply the same predetermined or randomized time delay to decision-making. Alternatively, if the first user and second user are both algorithmic traders, the electronic exchange system may give both of the algorithmic traders the same amount of time to make a decision. In this and other ways, a non-algorithmic or human trader can be provided necessary time to evaluate a given conditional order before deciding whether to proceed.
[0027] In addition, the conditional trading technology advantageously enables market participants to shield information pertaining to aspects of the conditional order from the larger market. As such, a human trader can pursue trading strategies leveraging the conditional order engine without signaling their position to algorithmic traders operating outside of the conditional order engine. For example, the human trader can submit orders for a large amount of a given option or security without signaling the strategy to algorithmic traders that can detect, replicate, and execute the strategy in fractions of a second in conventional exchanges that do not employ the conditional trading technology herein disclosed. By shielding details of the trade from the larger market, the human trader can explore trades without signaling their position to the larger market, thus preventing algorithmic traders from front-running the trader’s position. [0028] Other implementations of this aspect include corresponding systems, devices, processes, apparatus, computer-readable media, and computer programs recorded on computer storage devices, each configured to perform the operations of the methods.
[0029] The details of one or more embodiments of the subject matter described in this specification are set forth in the accompanying drawings and the description below. Other potential aspects, features, and advantages will be apparent from the description, the drawings, and the claims.
BRIEF DESCRIPTION OF THE DRAWINGS [0030] FIG. 1 is an example diagram of an exchange computer system and associated networks, devices, and users.
[0031] FIG. 2 is a flowchart of an example method for implementing conditional orders in the electronic exchange system of FIG. 1.
[0032] FIG. 3 is a flowchart of another exemplary method for implementing conditional orders in the electronic exchange system of FIG. 1.
DETAILED DESCRIPTION
[0033] FIG. 1 is an example diagram of an exchange computer system and the associated networks, devices, and users that make up an exemplary trading environment in which the exchange computer system operates. The diagram includes an exchange computer system 110, other exchanges 112, a network 114, user devices 116, 118, 120, market makers/brokers 122, and an electronic order book 124.
Generally, the term “user” can refer to any entity that interacts with the exchange computer system and/or associated networks and devices. Users can include, for example, market makers, market participants, brokers, institutional traders, individual traders, and automated trading systems. In some examples, the user device 118 can be an algorithmic trader. In some examples, users 116 and 118 can be human traders. [0034] In some examples, a user can be refer to as a member, as defined under exchange rules, or a clearing member, who is a member of a Qualified Clearing Agency authorized to clear transactions on behalf of another member, as defined under exchange rules. If a clearing member is the user, the clearing member can be required to request authorization from the exchange computer system 110 to receive data indicative of a current or previous risk profile setting of the member on behalf of whom the clearing member is acting.
[0035] The exchange computer system 110 can be implemented in a fully electronic manner, or in a hybrid manner that combines electronic trading with aspects of traditional open-outcry systems. The exchange computer system 110 can receive orders for trading financial instruments locally on the floor and from remote electronic devices. The financial instruments can include securities such as stocks, options, futures, or other derivatives associated with an underlying asset.
[0036] The orders received and processed by the exchange computer system 110 can include conditional orders and firm orders. Conditional orders are orders to buy or sell a financial instrument when conditions specified by the user are satisfied. Conditional orders can include limit orders and stop orders. A limit order is an order to automatically buy or sell a financial instrument at a maximum bid price to be paid or at a minimum offer price to be received, as specified by the user. A stop order is an order to buy or sell when the financial instrument’s market price has reached or surpassed the user’s requested price. Limit orders and stop orders can be placed above and below the market price. Conditional orders disclosed herein can also prevent features or metrics of an order, such as price, volume, value, and the like from becoming known to users outside of the conditional order system. In contrast to conditional orders, a firm order is not dependent upon a later confirmation by the market participant. For example, a firm order can be placed on behalf of a firm (rather than a firm's client) and is not dependent upon a later confirmation by the client or conditions set by the client. [0037] Network 114 connects the various components within the trading environment, and is configured to facilitate communications between those components. For example, network 114 can enable the exchange of electronic communications that include order and order fulfillment information between connected devices, such as an electronic order book 124 and the exchange computer system 110. [0038] Network 114 can include one or more networks or subnetworks, each of which can include a wired or wireless data pathway. Network 114 can, for example, include one or more of the Internet, Wide Area Networks (WANs), Local Area Networks (LANs), or other packet-switched or circuit-switched data networks that are capable of carrying electronic communications (e.g., data or voice communications).
[0039] In some implementations, the network 114 can include a communications network inclusive of hardware and software implemented on various systems, devices, and components connected to network 114. In some implementations, trader information, such as a trader's speech and actions, can be recorded by a user device (e.g., a computer or portable device such as a cellular phone) at the location of the trader using sensors, cameras and microphones, and can be continuously transmitted across the network 114 to other devices connected to the network 114.
[0040] To protect communications between the various systems, devices, and components connected to network 114, network 114 can implement security protocols and measures such that data identifying order or bid information, or parties placing orders or quotes, can be securely transmitted. Network 114 can, for example, include virtual private networks (VPNs) or other networks that enable secure connections to be established with exchange computer system 110.
[0041] User devices 116, 118, and 120 can include portable or stationary electronic devices, such as smartphones, laptops, desktops, and servers that include user interfaces to display information and receive user input, and that are configured to communicate over a computer network. User devices 116, 118, and 120 can communicate with the exchange computer system 110 over network 114 using a proprietary protocol, or a message-based protocol such as financial information exchange (FIX), implemented over TCP/IP. The user devices 116, 118, and 120 may include or be coupled to one or more user interfaces such as a keyboard, mouse, or display device through which user input, such as user selections, can be received. For example, a display device in a user device 116, 118, or 120 can be configured to display a web portal or graphical user interface through which a user can provide input related to a conditional order.
[0042] User devices 116, 118, and 120 can transmit user input such as order information, including any conditional orders, to the exchange computer system 110, and can also receive data from the exchange computer system 110 indicating that an order has been filled or canceled. The data can be conveyed in various suitable ways including, for example, in the form of a report providing details of a trade or cancellation. The details in the report can include one or more of the parties or firms involved, the financial instrument being traded, the price and quantity of the trade, the time at which the trade was completed or canceled, and the venue of the exchange at which the trade was executed or canceled. In some implementations, one or more details of the report can be sanitized or anonymized such that the one or more details (e.g., parties involved in the trade, volume traded, or value of the trade) of the report are omitted from the report.
[0043] Users, such as brokers/market makers or market participants 122, can also place orders and receive information about order fulfillment or termination through electronic order book 124, which can include a record of outstanding public customer limit orders that can be matched against future incoming orders.
[0044] The exchange computer system 110 includes an order entry port (not shown), an order routing system (ORS) 132, an order matching system (OMS) 134, a conditional order engine 136, a database 142 of trading rules and algorithms, storage 144, and a risk management gateway 146. The conditional order engine 136 includes a market participant (MP) scorecard repository 138 and an invitation generator 140. The exchange computer system 110 can be integrated at a single location or a single device, e.g., in the form of a server, or can be distributed over a wired or wireless computer system.
[0045] The ORS 132 can determine whether a received order or quote is to be executed at the exchange computer system 110, or should instead be redirected to another exchange 112. The ORS 132 can include or be coupled to processing systems that enable the management of high data volumes and one or more order entry ports that are configured to receive order or quote information (e.g., a conditional order) for the purchase or sale of financial instruments from one or more user devices 116, 118, 120, and 124. In some implementations, the ORS 132 can also be connected to or include a touch-screen order routing and execution system accessible by brokers on the exchange floor, such as a public automated routing (PAR) system. [0046] Upon receiving an order or quote, the ORS 132 can determine if the destination specified in the received order or quote is the exchange computer system 110. If the exchange computer system 110 is not the destination, the ORS 132 forwards the order or quote to another exchange 112, which can be either the destination exchange, or an exchange en route to the destination exchange.
[0047] If the ORS 132 determines that the exchange computer system 110 is the destination of the received order or quote, the ORS 132 can forward the received order or quote to the OMS 134. The ORS 132 can include or be coupled to an order entry port that receives the order and forwards the received order to the OMS 134. In some implementations when processing conditional orders, the ORS 132 is configured to route a conditional order according to a destination associated with the first conditional order.
[0048] The OMS 134 includes processing systems that analyze and manipulate orders according to matching rules stored in the database 142. The OMS 134 can also include an electronic book (EBOOK) of orders and quotes with which incoming orders to buy or sell are matched, according to the matching rules. The EBOOK can also be implemented in a separate database such as storage 144, which can include multiple mass storage memory devices for the storage of order and quote information. When the OMS 134 determines that a match exists for an order (for example, when a bid matches an offer for sale), the OMS 134 can mark the matched order or quote with a broker-specific identifier so that the broker sending the order or quote information can be identified.
[0049] Upon completion of a trade (through the floor in open outcry as entered into the PAR system, or through automatic execution through the OMS 134), the fill information is passed through OMS 134 and ORS 132 to one or more user devices 116, 118, 120, and 124, and to a continuous trade match (CTM) system. The CTM system matches the buy side and sell side of a trade, and forwards the matched trade to a third party organization that verifies the proper clearance of the trade, such as the Options Clearing Corporation (OCC) where the securities can be options, or the Depository Trust Company (DTC) where the securities can be equities. The OMS 134 also formats the quote and sale update information and sends that information through an internal distribution system that refreshes display screens on the floor, in addition to submitting the information to a quote and trade dissemination service such as, in the case of options, the Options Price Reporting Authority (OPRA). In the case of equities, the information would be submitted to the Securities Information Processor (SIP). The OMS 134 is configured to match the first conditional order for the financial instrument to the second conditional order for the financial instrument based upon additional metrics that include one or more of a price priority, broker priority, size priority, or time priority.
[0050] Storage 144 and database 142 store and handle data in a manner that satisfies the privacy and security requirements of the exchange computer system 110 and its users, and can store one or more of telemetric data, user profiles, user history, and rules and algorithms for matching quotes, bids, and orders.
[0051] The database 142 can store data that specifies the rules by which the exchange computer system 110 can operate, as well as specific rules for processing conditional orders. For example, the database 142 can identifying the type of conditions that can be applied to an order and how a market participant can be scored upon the completion or failure of a conditional order.
[0052] The exchange computer system 110 includes a conditional order engine 136, which can be implemented using a combination of software and hardware configured to execute one or more algorithms for processing conditional orders, as described in further detail below. In some implementations, one or more parts of the conditional order engine 136 can be integrated with other parts of the exchange computer system 110. For example, the MP scorecard repository 138 can be implemented within storage 144, which could be integrated with or coupled to the conditional order engine 136. In some implementations, a processor of the conditional order engine 136 may be integrated with or coupled to one or more processors of the exchange computer system 110 such as a processor of the ORS 132 and/or OMS 134. The conditional order engine 136 can be coupled to one or more user interfaces such as a keyboard, mouse, or display device.
[0053] The MP scorecard repository 138 is a database in which the scorecards for the various users of the exchange computer system 110 are stored. A scorecard can be generated for each user and is representative of the aggregate score for each user. A user can be scored based on a trading performance of the user. If a user has a strong record of filling orders and following market participant rules, obligations, and protocols, the user receives positive scores. In contrast, if a user has a weak record of filling orders and following market participant rules, obligations, and protocols, the user receives negative scores.
[0054] As an example, if a user has placed a conditional order, but at the time a match for the conditional order is found, can no longer fill the order, e.g., due to insufficient volume or available funds, the user will receive a negative score. In contrast, if the user places a conditional order and is able to convert the conditional order to a firm order and execute the order, the user will receive a positive score.
[0055] Different scores can be assigned to users based on the type of action, transaction, or violation. For instance, a user who completes a high volume or value trade may receive a higher positive score than a user who completes a lower volume or value trade. A user who completes a firm order may receive a first score (which can be implemented in the form of points) as the user’s score. A user who completes a trade based originally from a conditional order may receive a second score (e.g., second number of positive points) that is different from the first score (e.g., first number of positive points). The first score and second score may be determined at the conclusion of the transaction before the report is compiled. The first score and second score may be stored in the electronic exchange system and associated with their respective users. [0056] The MP scorecard repository 138 includes a conditionals compliance mechanism. Should the first or second user cancel their respective conditional orders, the cancelation is reported to the conditionals compliance mechanism and stored in the MP scorecard repository 138. The conditionals compliance mechanism determines whether the score of the first and second users have fallen below the minimum scorecard threshold level. If the score falls below the minimum scorecard threshold level, the conditionals compliance mechanism suspends trading by either or both of the first and second user. In at least one example, the score is based upon a firm-up ratio, i.e. , a ratio indicating a percentage of a given user’s previous conditional orders that have matured into form orders. [0057] A user who violates an ethical obligation, consistently breaches a code of conduct, or whose score on the scorecard falls below a minimum scorecard threshold level, may be blocked from participating in subsequent transactions with the exchange computer system 110. Scores from other venues can also be factored into the score of a user at the exchange computer system 110. Thus, if a user has a poor score at another venue, the poor score can be factored into the score of the user and result is a poor score of the user at the exchange computer system 110.
[0058] Before a transaction is conducted or in response to receiving any order from a user, the exchange computer system 110 can check the score of the user and determine whether to accept or reject the order. If the user has a score below the minimum scorecard threshold level, the user can be blocked and a message can be sent to the user informing the user of the reason for the block. If the user has a score above the minimum scorecard threshold level, the exchange computer system 110 can proceed with subsequent operations such as the ones described below in FIG. 2. If the user was not previously listed in the scorecard, the conditional order engine 136 can create a new entry for the user and assign a neutral score to the user that is above the minimum scorecard threshold level.
[0059] The invitation generator 140 is configured to generate an invitation for a user to create a new firm order based on the terms set forth in an existing conditional order, as described in more detail below with respect to FIG. 2. In some implementations, the invitation generator 140 can generate the invitation in response to a signal received from the OMS 134 indicating that two conditional offers are a likely (potential) matched. The invitation generated by the invitation generator 140 can be a message transmitted through network 114 to user devices 116, 118, 120 or market participants 122. The message can be an electronic message or a printed message and can include terms from a conditional order that are to be used to generate a new firm order.
[0060] The risk management gateway 146 includes risk parameters for each market participant, including the first user and the second user. For example, each market participant can set a single order limit, a traded value limit, and a cumulative daily traded value limit. The risk management gateway 146 can be configured to cause a graphical user interfaces of user devices to display information pertaining to orders. If a conditional order or firm order meets or exceeds risk parameters set by a particular user, the conditional order engine can send a warning to that user, and can cancel that order, and/or prevent further orders from being excecuted.
[0061] The risk management gateway 146 can also include a fat-finger check, such that each conditional order is checked for typographical errors and accidental additions or omissions. In one example, based upon the risk parameters, the risk management gateway 146 may determine that an order for 100,000 shares of XYZ is an error, and should instead be 10,000 shares of XYZ. The risk parameters set by each user in the risk management gateway 146 substantially prevent mistakes generated at the conditional order from maturing into firm orders. As such, the risk management gateway 146 may communicate with various aspects of the exchange computer system 110, such as the conditional order engine 136, the rules database 142, storage 144, and the like.
[0062] FIG. 2 is a flowchart of an example method 200 for processing conditional orders in an electronic exchange system. The electronic exchange system is configured to execute operations 210-270 and includes one or more servers that are the same as or similar to the exchange computer system 110 described with respect to FIG. 1. Orders may be received from user devices, such as user devices 116, 120, or market participants 122.
[0063] In operation 210, an exchange server of the electronic exchange system receives data indicative of a first conditional order from a user device (referred to as first user device). Advantageously, for example, a user associated with the first user device may be willing to take some risk in return for trading larger volumes or improved profits. As such, the user may be interested in placing a conditional order in which the user offers to trade a financial instrument at a different (e.g., larger) quantity or price of the financial instrument than the user is willing to commit to in a firm order. In doing so, the user takes some risk because, by the time another conditional order is matched to the user’s conditional order, the user may no longer have the volume offered in original the conditional order. Flowever, because the user can benefit from greater size (e.g., volume) and/or narrower spreads, the user may be willing to take the additional risk. [0064] In some implementations, the first conditional order can be received when a firm order for the same symbol is available at the same or other venues, including other electronic exchange systems. For instance, a firm order can be placed at a trading venue that only accepts firm orders. At the same time, a conditional order for the same symbol can be received by the exchange server of the electronic exchange system implementing method 200, which is configured to receive and process conditional offers and firm offers. As an example, a user can place a firm order for 30,000 shares of XYZ in a venue only accepting only firm orders, and place a conditional order for 40,000 shares of XYZ at another venue that also accepts conditional orders. In some implementations, the exchange server of the electronic exchange system can receive both the firm order and the conditional order from the first user device.
[0065] To place a conditional order, the user can use a trading program on the first user device and provide the terms and conditions at which the user would like to place the order. For example, the user can make selections and provide input regarding the price, quantity, and any other condition (e.g., minimum volume, maximum price, preferred date, and expiration of the order) through a graphical user interface, keyboard, or mouse of the first user device for trading the financial instrument. The trading program on the first user device receives the conditional order information, generates a conditional order based on the received information, and instructs the first user device to transmit the conditional order to the exchange server of the electronic exchange system.
[0066] In some implementations of a conditional order, the user can select the option of pair trading in which two conditional orders must be executed simultaneously. A user can specify a ratio as one of the parameters for executing a pair trade. The ratio can be defined flexibly by the user (e.g., one leg - buy 11 ,000 shares of ABC; and second leg - sell 19,000 shares of XYZ, provided that the absolute net value of the trade is less than $4,000). In the context of options trading, the ratio can be expressed in the form of a delta of the option. For example, if an option delta is 0.6 and the market participant is quoting 100 lots, the pair would be expressed as: buy 100 lots of the call option and sell 60 lots of the futures provided that the net proceeds are less than a specified amount (e.g., $4,000). If the pair cannot be traded simultaneously, neither leg of the pair is executed. In some implementations, an option quote can be paired with an underlying financial instrument (e.g. futures contract), provided both are traded in the same venue.
[0067] Conditional orders that include pair trading conditions can create a powerful market making regime in which the sizes and the spreads for the pair are significantly more attractive than is possible with trades according to current market trading practices.
[0068] In operation 220, the exchange server of the electronic exchange system can receive data indicative of a second conditional order from another user device (referred to as second user device). A user of the second user device may place the second conditional order in a similar manner as described above with respect to the user of the first user device. The electronic exchange system can receive large (e.g., thousands) numbers of orders each second from various devices of market participants. [0069] In operation 230, the electronic exchange system determines whether the first and second conditional orders potentially match. As explained above, an order matching system can determine that a match exists for an order (for example, when an offered quantity and price of a financial instrument in the first conditional order matches a quantity and price of the financial instrument in the second conditional offer), and can mark the matched order or quote with a broker-specific identifier so that the broker sending the order or quote information can be identified. Here, if the terms and conditions of the first conditional order match the terms and conditions of the second conditional order, the conditional order engine of the exchange server can determine that the two orders are potentially a match.
[0070] In implementations involving paired trades, the electronic exchange system advantageously does not lock the order book for a specific symbol in order to accept and process paired trades. By keeping the order book unlocked, greater flexibility in order handling can be achieved and multiple executions around the same symbol(s) can be executed in a tight time frame.
[0071] If in operation 230, the electronic exchange system determines that the first and second conditional orders do not match, the electronic exchange system can wait until a potential match with subsequently received conditional orders is detected. If no potential match between available orders is detected for a certain period of time, the method 200 may cancel the current second conditional order.
[0072] In operation 235, after terminating the current second conditional order, the electronic exchange system searches for a new second conditional order. Operation 235 then proceeds to operation 230 in order to determine whether the first conditional order and the new second conditional order match. When a match is confirmed at operation 230, the method proceeds to operation 240.
[0073] In operation 240, the electronic exchange system generates and transmits an invitation to generate a new firm order. In particular, after the conditional order engine or order matching system determines that a potential match exists between two conditional orders, the electronic exchange system can send a signal or instruction to the invitation generator of the conditional order engine to generate an invitation for each of the users to convert their respective conditional orders to firm orders. For example, a new first firm order can be generated based on the first conditional order, and a new second firm order can be generated based on the second conditional order. The invitation for generating the first firm order is transmitted to the first user device and the invitation for generating the second firm order is transmitted to the second user device. In some implementations, one or more details of the orders or potential trade can be sanitized or anonymized such that the details are omitted from the invitation. For example, details specifying the parties involved in a potential trade, or quantity to be traded can be omitted from the invitation. In contrast, a firm order placed outside of the conditional order system may disclose details of the order such as volume and price to the wider market.
[0074] The users of the first user device and second user device may have previously-existing but unfilled firm orders (i.e. , one or more invitations that have not matured into firm order(s)) associated with the same symbol or volume. To reduce the possibility of conflicts, the invitation to generate a firm order can include an indication of one or more of the following: (1 ) an invitation pending time period, and (2) an instruction to update related firm orders. The invitation pending time period is a time period during which the invitation is pending. After the time period is complete, the invitation may expire. The invitation’s pending time period can be determined by the exchange computer system, the one or more user devices, or both. During the invitation pending time period, a user (to which the invitation is directed) can verify the volume available for trading, cancel any related firm orders as appropriate at other venues, and “firm-up” (replace the conditional order with a new firm order with the actual volume available for trading at the same price terms as the conditional order). The invitation pending time period is of a reasonable length of time that would allow a user to perform these actions. [0075] The invitation’s pending time period extends for a predetermined or randomized amount of time. In one example, the predetermined amount of time is between about 25 seconds and about 60 seconds, such as about 30 seconds or about 45 seconds. In other examples, the predetermined period of time can be between about 30 seconds and about 90 seconds, such as about 60 seconds or about 75 seconds. In other examples, the predetermined amount of time is between about 1 second and about 60 seconds.
[0076] If the user’s previously-existing but unfilled firm order associated with the same symbol or volume is placed with the same electronic exchange system, the conditional order engine in the electronic exchange system can determine whether the financial instrument volume specified by the first conditional order is still available, and if so, cancel the previously-existing firm order. For example, if the unfilled firm order was for 19,000 shares of XYZ and the conditional order was for 20,000 shares of XYZ, the conditional order engine 136 will verify that 20,000 XYZ share are still available, cancel the firm order for 19,000 XYZ shares, and convert the conditional order to a new firm order for 20,000 XYZ shares at the price offered in the conditional order. If no previously-existing firm order exists, the electronic exchange system can generate a new firm order without sending an invitation to the first and/or second users.
[0077] The generation of firm orders in the above-noted manner can be an option made available to users should the users prefer such expeditious trading functionality to a manual one in which the user is prompted to accept the generation of a new firm order or cancellation of previously-existing but unfilled firm orders. This method provides the benefit of reducing network congestion, e.g., by reducing the number of messages that are sent between the exchange server and user devices, increasing the speed at which the trade can be completed, and providing greater convenience to the users because the transaction does not require additional user input other than the received conditional orders.
[0078] The electronic exchange system includes one or more purge ports configured to cancel one or more sets of orders. The purge ports can be coupled to the conditional order engine 136. In general, a purge port may refer to a dedicated port that permits a user to simultaneously cancel all or a subset of its orders in one or more symbols across multiple logical ports by requesting the exchange computer system 110 to effect such cancellation. For example, in some implementations, the conditional order engine 136 may generate and send instructions to a purge port to cancel orders that are associated with a symbol or firm order upon a determination by the conditional order engine 136 or receipt of a message from user device interested in generating a new order from a conditional order.
[0079] In operation 250, the electronic exchange system receives a new firm order from the first user device and a new firm order from the second user device. As explained above, the new first firm order corresponds to the terms of the first conditional order and can be received in response to the invitation sent by the exchanger server to the first user device. A new second firm order corresponds to the terms of the second conditional order and can be received in response to the invitation sent by the exchanger server to the second user device. In some implementations as described above, the new firm orders can be automatically generated by the electronic exchange system if the system has received previous authorization to do so from the users.
[0080] In operation 260, the electronic exchange system determines that the two firm orders are a match and executes the trade of the new firm orders. For example, the OMS 134 can determine if the quantity of financial instruments and price specified in the second firm order matches the quantity of financial instruments and price specified in the first firm order received from the first user device. When a match exists, a trade based on the firm and second firm orders is executed.
[0081] The exchange server can also determine if the user associated with the first user device can still trade the quantity of the financial instruments specified by the second firm order. If the quantity is not available, both firm orders can be canceled and the scorecard of the user associated with the first user device can have a negative score added. If the quantity is available and the trade is completed, the scorecard of the user associated with the first user device can have a positive score added.
[0082] In operation 270, the electronic exchange system generates and transmits a report that includes information of the executed trade. The report is sent to all users having executed the one or more firms orders in a given transaction. The information in the report can include one or more of details regarding the parties or firms involved, the financial instrument being traded, the price and quantity of the trade, the time at which the trade was completed, and details of any earlier placed, pre-existing firm orders that were canceled in the process of implementing the trade. The report can be transmitted to the first user device, second user device, and/or other exchanges. In some implementations, if the firm orders are canceled, as described above, a report is transmitted to the first user device and second user device. The report can include data indicative of the cancelation of the respective user device’s firm order. The report can also include a reason for the cancellation and other details such as a date and time of cancellation. The report can be displayed in the graphical user interface of each user device.
[0083] FIG. 3 is a flowchart of another exemplary method 300 for implementing conditional orders in the electronic exchange system. The method 300 includes each of the operations 210-270 described above with respect to the method 200. However, the method 300 includes operation 310 in which the electronic exchange system determines that that one or both of the first and second firm orders pass risk controls. [0084] At operation 310, the method proceeds by determining whether the order for the first financial instrument passes risk controls. As noted above, the conditional order engine determines whether the order for the first financial instrument passes risk controls based on information received through the risk management gateway. The risk controls can include determining whether the first firm order or second firm order satisfies one or more of: a fat-finger check, a single order limit, a traded value limit, and a cumulative daily traded value limit. Advantageously, implementing the risk controls herein disclosed reduces the overall number of firm orders to be processed by the electronic exchange system and other networked computing devices, thereby enabling greater efficiency by reducing the bandwidth and processing resources required by the electronic exchange system and the other devices.
[0085] As described above, upon completion of the trade, the fill information is passed through an OMS and ORS to one or more user devices and to a CTM system. The CTM system matches the buy side and sell side of a trade, and forwards the matched trade to a third party organization that verifies the proper clearance of the trade. The OMS can format the quote and sale update information and send that information through an internal distribution system that refreshes display screens on the floor, in addition to submitting the information to a quote and trade dissemination service such as, in the case of options, the Options Price Reporting Authority (OPRA). In the case of equities, the information would be submitted to the Securities Information Processor (SIP).
[0086] The electronic exchange system can transmit the report through any suitable user-selected method, such as e-mail messaging, text messaging, fax messaging, or, in general, other suitable mechanisms for securely transmitting messages. In response to receiving a report, the user device can generate an alarm signal to indicate to the user that a trade report has been received. The alarm signal can be output in the form of a flashing LED light, graphical message displayed on a display of the user device, or audio signal.
[0087] In some implementations, method 200 can also be used to execute partial orders. In such implementations, a third conditional order for a financial instrument may also be received at or around the same time the first and second conditional order for the financial instrument are received. The third conditional order may be generated and transmitted from the first user device, the second user device, or a third user device. If the first order is an offer, the conditional order engine can determine that a potential match exists when it determines that the first quantity of the first order is equal to or greater than a sum of the second quantity associated with the third conditional order (e.g., a bid) and a third quantity of the financial instrument associated with the third conditional order (e.g., a bid). In response to this determination, the conditional order engine can send an instruction to the invitation generator to transmit invitations to the respective devices from which the conditional orders were received to generate new firm orders corresponding to the conditional orders, as described above.
[0088] In some cases, if firm orders are then received from the user devices that placed the conditional orders, the exchange server can determine that a match exists and execute a three-order trade. In some cases, if a firm order corresponding to one of the second or third conditional order is received and a firm order corresponding to the other one of the second or third conditional order is not received, the exchange server can execute a trade based on the first firm order and the firm order corresponding to one of the second or third conditional order that is received. The first firm order can be updated to generate either a new firm order or a new conditional order based on any quantity of the financial instrument that remains after the trade is executed.
[0089] If a firm order is not received from a device to which an invitation to generate a firm order is sent, the conditional order received from that device can, in some cases, be canceled or, in some cases, can remain open to be matched in future. The scorecard for the user from whom a response to an invitation is not received can receive a negative score. The negative score is indicative of the lack of response, and more generally, the poor trading performance of the user.
[0090] It will be understood that various modifications can be made. For example, other useful implementations could be achieved if steps of the disclosed techniques were performed in a different order and/or if components in the disclosed systems were combined in a different manner and/or replaced or supplemented by other components. Accordingly, other implementations are within the scope of the disclosure.
[0091] Terms used herein and especially in the appended claims (e.g., bodies of the appended claims) are generally intended as “open” terms (e.g., the term “including” should be interpreted as “including, but not limited to,” the term “having” should be interpreted as “having at least,” the term “includes” should be interpreted as "includes, but is not limited to," etc.).
[0092] Additionally, if a specific number of an introduced claim recitation is intended, such an intent will be explicitly recited in the claim, and in the absence of such recitation no such intent is present. For example, as an aid to understanding, the following appended claims may contain usage of phrases “at least one” and “one or more” to introduce claim recitations. However, the use of such phrases should not be construed to imply that the introduction of a claim recitation by the indefinite articles “a” or “an” limits any particular claim containing such introduced claim recitation to embodiments containing only one such recitation, even when the same claim includes the introductory phrases “about,” “one or more,” or “at least one,” and indefinite articles such as “a” or “an” (e.g., “a” and/or “an” should be interpreted to mean “at least one” or “one or more”); the same holds true for the use of definite articles used to introduce claim recitations.
[0093] In addition, even if a specific number of an introduced claim recitation is explicitly recited, those skilled in the art will recognize that such recitation should be interpreted to mean at least the recited number (e.g., the bare recitation of “two recitations,” without other modifiers, means at least two recitations, or two or more recitations). Furthermore, in those instances where a convention analogous to “at least one of A, B, and C, etc.” or “one or more of A, B, and C, etc.” is used, in general such a construction is intended to include A alone, B alone, C alone, A and B together, A and C together, B and C together, or A, B, and C together. The term “and/or” is also intended to be construed in this manner.
[0094] The use of the terms “first,” “second,” “third,” etc., are not necessarily used herein to connote a specific order or number of elements. Generally, the terms “first,” “second,” “third,” etc., are used to distinguish between different elements as generic identifiers. Absent a showing that the terms “first,” “second,” “third,” etc., connote a specific order, these terms should not be understood to connote a specific order. Furthermore, absent a showing that the terms “first,” “second,” “third,” etc., connote a specific number of elements, these terms should not be understood to connote a specific number of elements.
[0095] What is claimed is:

Claims

1. A method for conditional trading implemented via an exchange computer system, the method comprising: receiving, from a first user device connected to the exchange computer system, data indicative of a first conditional order for a financial instrument; receiving, from a second user device connected to the exchange computer system, data indicative of a second conditional order for the financial instrument; determining that the first conditional order and the second conditional order potentially match; responsive to determining that the first conditional order and the second conditional order potentially match, sending a first invitation to the first user device to submit a first firm order for the financial instrument; receiving the first firm order for the financial instrument from the first user device; determining that the first firm order for the financial instrument passes risk controls; sending a second invitation to the second user device to submit a second firm order for the financial instrument; receiving the second firm order for the financial instrument from the second user device; executing a trade based on the first firm order and the second firm order; and sending a first report to the first user device and a second report to the second user device, wherein the first report and the second report each include data indicative of a quantity of the financial instrument traded.
2. The method of claim 1 , wherein the exchange computer system is a distributed computer system comprising: an order entry port; an order routing system; an order matching system; a risk management gateway; and a conditional order engine.
3. The method of claim 2: wherein the order entry port is configured to receive the first conditional order; wherein the order routing system is configured to route the first conditional order according to a destination associated with the first conditional order; wherein the conditional order engine is configured to determine that the first conditional order and the second conditional order potentially match based on one or more matching rules; and wherein the order matching system is configured to match the first firm order and the second firm order.
4. The method of claim 2: wherein the conditional order engine determines whether the order for the financial instrument passes risk controls based on information received through the risk management gateway, and wherein a number of firm orders to be processed by the exchange computer system is reduced based on risk controls implemented through the risk management gateway, thereby reducing a bandwidth required by the exchange computer system.
5. The method of claim 4, wherein the risk management gateway comprises a graphical user interface.
6. The method of claim 1 : wherein determining whether the first firm order for the financial instrument passes risk controls comprises determining that the first firm order satisfies one or more of: a fat-finger check, a single order limit, a traded value limit, and a cumulative daily traded value limit.
7. The method of claim 1 : wherein a user of the first user device is an algorithm; wherein a user of the second user device is an algorithm; wherein the second invitation to submit the second firm order for the financial instrument is sent to the second user device within a first time threshold of the first invitation to submit the first firm order for the financial instrument being sent to the first user device; and wherein the second firm order for the financial instrument from the second user device is received within a second time threshold of the second invitation to submit the second firm order for the financial instrument being sent.
8. The method of claim 7: wherein the first time threshold is one second; and wherein the second time threshold is one second.
9. The method of claim 1 : wherein a user of the first user device is not an algorithm; wherein a user of the second user device is an algorithm; wherein the first invitation to submit the first firm order for the financial instrument is configured to cause a graphical user interface of the first user device to display invitation information; wherein the second invitation to submit the second firm order for the financial instrument is sent to the second user device within a first time threshold of the first invitation to submit a first firm order for the financial instrument being sent to the first user device; and wherein the second firm order for the financial instrument from the second user device is received within a second time threshold of the second invitation to submit the second firm order for the financial instrument being sent.
10. The method of claim 9: wherein the first time threshold is thirty seconds; and wherein the second time threshold is one second.
11. The method of claim 9: wherein the user of the first user device cancels the first conditional order; and wherein the cancellation of the first conditional order is reported to a conditionals compliance mechanism.
12. The method of claim 11 , wherein the conditionals compliance mechanism determines that a score of the first user has fallen below a threshold; and wherein the conditionals compliance mechanism suspends trading by the first user.
13. The method of claim 12 wherein the score is a firm-up ratio.
14. The method of claim 1 : wherein a user of the first user device is not an algorithm; and wherein a user of the second user device is not an algorithm. wherein the first invitation to submit the first firm order for the financial instrument is configured to cause a graphical user interface of the first user device to display invitation information; wherein the second invitation to submit the second firm order for the financial instrument is configured to cause a graphical user interface of the first user device to display invitation information; wherein the second invitation to submit the second firm order for the financial instrument is sent to the second user device within a first time threshold of the first invitation to submit the first firm order for the financial instrument being sent to the first user device; and wherein the second firm order for the financial instrument from the second user device is received within a second time threshold of the second invitation to submit a second firm order for the financial instrument being sent to the second user device.
15. The method of claim 14: wherein the first time threshold is thirty seconds; and wherein the second time threshold is thirty seconds.
16. The method of claim 14: wherein the first report is configured to cause the graphical user interface of the first user device to display execution information including a quantity of the financial instrument traded; and wherein the second report is configured to cause the graphical user interface of the second user device to display execution information including a quantity of the financial instrument traded.
17. The method of claim 1 , wherein the first conditional order includes a first quantity of the financial instrument, wherein the second conditional order includes a second quantity of the financial instrument, and wherein the first quantity and the second quantity meet an order size threshold.
18. The method of claim 1 , wherein the trade is executed within Protected National Best Bid or Offer (PNNBO).
19. The method of claim 1 , further comprising: matching the first conditional order for the financial instrument to the second conditional order for the financial instrument based on price priority, broker priority, size priority, or time priority.
20. An exchange computer system comprising: an order entry port configured to: receive from a first user device connected to the exchange computer system, data indicative of a first conditional order for a financial instrument, and receive from a second user device connected to the exchange computer system, data indicative of a second conditional order for the financial instrument; an order routing system configured to: route the first conditional order according to a destination associated with the first conditional order, and route the second conditional order according to a destination associated with the second conditional order; a conditional order engine configured to: determine whether the first conditional order for the financial instrument passes risk controls based on information received through a risk management gateway, determine that the first conditional order and the second conditional order potentially match, send a first invitation to the first user device to submit a first firm order for the financial instrument, and send a second invitation to the second user device to submit a second firm order for the financial instrument; and an order matching system configured to: receive the first firm order from the first user device, receive the second firm order for the financial instrument from the second user device, and execute a trade based on the first firm order and the second firm order; wherein a user of the first user device is not an algorithm; wherein a user of the second user device is an algorithm; wherein the first invitation to submit the first firm order for the financial instrument is configured to cause a graphical user interface of the first user device to display invitation information; wherein the second invitation to submit the second firm order for the financial instrument is sent to the second user device within a first time threshold of the first invitation to submit a first firm order for the financial instrument being sent to the first user device; and wherein the second firm order for the financial instrument from the second user device is received within a second time threshold of the second invitation to submit the second firm order for the financial instrument being sent.
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