The present invention is generally directed to electronic trading, and in particular, facilitates trading of any tradeable object in an electronic trading environment.
Many exchanges throughout the world implement electronic trading in varying degrees to trade tradeable objects, where a tradeable object refers simply to anything that can be traded. Tradeable objects may include, but are not limited to, all types of traded financial products, such as, for example, stocks, options, bonds, futures, currency, and warrants, as well as funds, derivatives and collections of the foregoing, and all types of commodities, such as grains, energy and metals. Electronic trading has made it easier for a larger number of people with many different trading strategies to participate in the market at any given time. The increase in the number of potential traders has led to, among other things, a more competitive market, greater liquidity, and rapidly changing prices. Speed is of great importance otherwise the risk of loss can be substantial.
Exchanges that implement electronic trading are generally based on centralized computers (host), one or more networks, and the exchange participants' computers (client). The host forms the electronic heart of the fully computerized electronic trading system. The host's operations typically cover order-matching, maintaining order books and positions, price information, and managing and updating the database for the online trading day as well as nightly batch runs. The host is also equipped with external interfaces that maintain online contact to quote vendors and other price information systems.
Typically, traders can link to the host through one or more networks, where a network can include a direct data line between the host and the client, or where a network can also include other common network components such as high-speed servers, routers, and gateways, and so on. For example, a high speed data line can be used to establish direct connections between the client and the host. In another example, the Internet can be used to establish a connection between the client and the host. There are many different types of networks known in the art that can link traders to the host.
Regardless of the way in which a connection is established, the client devices allow traders to participate in the market. Each client uses software that creates specialized interactive trading screens. The trading screens enable the traders to enter and execute orders, obtain market quotes, and monitor positions while implementing various trading strategies including those previously used on the floor of an exchange. Such strategies incorporated into an electronic marketplace can improve the speed, accuracy, and ultimately the profitability of trading electronically. One such trading strategy is spread trading.
Spread trading is the buying and/or selling of two or more tradeable objects, the purpose of which is to capitalize on changes or movements in the relationships between the tradeable objects. A spread trade could involve buying two or more tradeable objects, buying and selling two or more tradeable objects, selling two or more tradeable objects or some combination thereof. Typically, spread trading is the simultaneous trading of at least one tradeable object and the trading of at least one other. Often, the tradeable objects being spread are contracts for different delivery months (expiration dates) of the same tradeable object or contracts of the same tradeable object at different strike prices, but sometimes involve different tradeable objects or the same tradeable object on different exchanges. Spread trading is usually less risky than other types of trading strategies such as position trades, because a position is protected where an investment is made by taking an offsetting position in a related product in order to reduce the risk of adverse price movements. For example, a trader might simultaneously buy and sell two options of the same class at different strike prices and/or expiration dates. Of course, there are many other reasons for spread trading, and there are many known varieties of spread trading techniques.
With the advent of electronic trading, trading strategies such as spread trading can be incorporated into the electronic marketplace. However, the success of a trader who trades in a competitive electronic trading environment may depend on many factors. Among those factors include speed, such as the speed in calculating what tradeable objects to quote, the speed in calculating what price to quote at, and the speed in calculating how much to quote. Because speed is of great importance, it is desirable for electronic trading systems to offer tools that can assist a trader in trading in an electronic marketplace, and help the trader to make trades at the most favorable prices in a speedy and accurate manner.
I. General Overview of the Automatic Spreader
The present embodiments, referred to herein as the “automatic spreader,” are provided to facilitate the automatic trading of spreads. Generally, a “spread” is the purchase or sale of one or more tradeable objects and an associated purchase or sale of one or more tradeable objects, in the expectation that the price relationships will change so that subsequent offsetting trades yield a net profit. As used herein, the term “tradeable object” refers simply to anything that can be traded with a quantity and/or price. It includes, but is not limited to, all types of tradeable objects such as financial products, which can include, for example, stocks, options, bonds, futures, currency, and warrants, as well as funds, derivatives and collections of the foregoing, and all types of commodities, such as grains, energy, and metals. The tradeable object may be “real”, such as products that are listed by an exchange for trading, or “synthetic”, such as a combination of real products that is created by the user.
According to the present embodiments, a user selects the individual tradeable objects underlying the spread, referred to herein as the “legs” of the spread. The automatic spreader generates a spread data feed based on information in the legs and based on spread setting parameters, which are configurable by a user. The spread data feed is communicated to a graphical user interface manager (“GUI manager”) where it is displayed in a spread window and the legs may also be displayed, but preferably the legs are displayed in separate windows from the spread window. At the electronic terminal, the user can enter orders in the spread window and the automatic spreader will automatically work the legs to achieve (or attempt to achieve) the spread. It should be understood that those skilled in the art of trading are familiar with a wide variety of spread trading techniques and the present embodiments are not limited to any particular type of spread trading technique.
II. Receiving Data Feeds From One or More Exchanges
At step 102, market data feeds are received from one or more exchanges. A market data feed generally includes the price, order, and fill information for an individual tradeable object. In a preferred embodiment, the market data feed provides the highest bid price (HBP) and the lowest ask price (LAP) for a tradeable object, referred to as the “inside market,” in addition to the current bid and ask prices and quantities in the market, referred to as “market depth.” Some exchanges provide an infinite market depth, while others provide no market depth or only a few prices away from the inside market. The number of market data feeds received at step 102 may depend on the number of tradeable objects selected for spread trading by a user, or alternatively, some or all of the data feeds from an exchange are received and only those tradeable objects which are part of the spread are traded.
An electronic terminal 212 is shown in more detail to illustrate the interaction between its software and/or hardware components. The electronic terminal 212 includes many components, some of which are not shown for purposes of clarity, but those that are shown include a trading application 210, an automatic spreader 214, and a GUI manager 216. In a preferred embodiment, the trading application 210 and the automatic spreader 214 are software applications hosted on the electronic terminal 212. Although the automatic spreader 214 is shown together with the trading application 210, it should be understood that the automatic spreader 214 and the trading application may be the same software application or separate software applications on the same or different terminals. Alternatively, the automatic spreader 214 and/or the trading application 210 are hosted on a server and accessed by the electronic terminal 212 over a network. The GUI manager 216 is a software application (as shown in
In the preferred embodiment, the trading application 210 is an X_TRADER® trading application which is commercially available from Trading Technologies, Inc. of Chicago, Ill. The X_TRADER® trading application incorporates display screens of the type illustrated in
Turning back to
III. Configuring the Spread
Referring back to the flowchart 100 in
IV. Generation of the Spread
Referring back to the flowchart 100 in
The spread data feed may be continuously (or periodically) updated and stored at the electronic terminal according to the received market data feeds. Therefore, the process of generating a spread data feed may continue on a real time basis as such information is relayed from the market. However, the generating of the spread data feed may continue on a periodic time basis, for example, every half-second, if programmed. Preferably, only those values that are displayed in the spread window that change from one moment in time to another are updated on the display.
During spread generation and/or after spread generation, the spread data feed is displayed in a spread window.
Preferably, the windows 700, 702, 704 show the inside market and the market depth of the generated spread data feed (displayed in window 700) and for the legs (displayed in leg windows 702 and 704). Columns 706, 708, and 710 provide the buy quantities and columns 712, 714, and 716 provide the ask quantities at corresponding price levels shown in columns 718, 720, and 722, respectively. Columns 724, 726, and 728 display the user's working orders, described in greater detail with respect to entering orders in the spread window below. As expressed earlier, the MD_TRADER™-style screen displays of the type illustrated in
Preferably, the MD_TRADER™-style screen display shown in
A. Implied Prices or Net Change
Through a spread configuration window (e.g., see the spread configuration window 600 in
In a preferred embodiment, when the spread data feed is based on the implied spread price, the automatic spreader may calculate for any unknown variable such as the implied spread price k or one of the leg prices p, using the following equation. Examples are provided herein to illustrate how the automatic spreader might use this equation to calculate spread prices and quote legs.
k=m
leg1
p
leg1
+m
leg2
p
leg2
+ . . . +m
legn
p
legn [EQN 1]
In another preferred embodiment, when the spread data feed is based on the net change, the automatic spreader 214 may calculate for any unknown variable such as the net change, k or leg prices p, using the following equation, which may be used instead of EQN 1.
k=NCT
leg1
m
leg1
+NCT
leg2
m
leg2
+ . . . +NCT
legn
m
legn [EQN2]
In accordance with the preferred embodiment, the spread multipliers, mlegn, are chosen by the user and attempt to homogenize the tradeable objects in terms of tick and currency differentials. For example, if one product is in Euros and another product is in U.S. dollars, the spread multipliers may be used to convert the two products into a uniform currency (e.g. both in U.S. dollars). The spread multipliers for each leg may also be entered by the user into a spread configuration window (e.g., 600 in
B. Determining Spread Bid Depth
The following discussion walks through the flowchart 800 with respect to the example spread illustrated and set-up in
At step 802, preferably all quantities, which include both buy and sell quantities at each price level in each leg are stored. The quantities are preferably stored in a temporary fashion, such as buffering, in a data file, but alternatively the quantities may be stored for long periods of time for future processing. To illustrate step 802, the quantities in columns 708, 714, 710, and 716 in
At step 804, the automatic spreader can calculate spread quantities at corresponding spread prices based on the stored quantities from step 802. To better illustrate the step of 804,
At step 902, spread units in each leg are calculated, where a spread unit is the absolute value of the quantity available at a price level in a leg divided by the spread ratio for that leg. Recall that the spread ratio is input by the user in the spread configuration window.
Spread units as defined in EQN 3 may be interchangeable with quantities as used herein, depending on the ratio input by the user. Returning back to the example in
At step 904, preferably starting at the spread units with the highest bid price (HBP) in the buy leg(s) and the spread units with the lowest ask price (LAP) in the sell leg(s), the minimum spread unit is determined. To illustrate step 904, using the example laid out in
At step 906, if the minimum spread unit is one or greater, the spread quantity is equal to the minimum spread unit (a decimal number greater than 1 may be rounded up/down or truncated), then per step 908, the spread price is calculated using either EQN 1 or EQN 2. Referring back to the example illustrated in
k=m
leg1
p
leg1
+m
leg2
p
leg2
+ . . . +m
legn
p
legn
If the minimum spread unit is less than one, then a weighted average of prices is determined, per steps 910, 912, and 914, for each leg that has a minimum spread unit less than one, determined in step 904.
At step 910, assuming that there is a leg with a minimum spread unit less than one, the automatic spreader would look to the next level of depth for enough spread units to make 1 spread unit. For instance, using the numbers illustrated in
At step 912, the weighted average of prices for those spread units used in step 910 is calculated. This weighted average of prices is a price for the leg with the minimum spread unit less that one that is used in either EQN 1 or EQN 2. Using the example in step 910 with a spread ratio of −4, the weighted average may be calculated by the following relationship.
(0.5*104.24)+(0.25*104.25)+(0.25*104.26)=104.25 (i.e., 104.2475 rounded up)
At step 914, using the example set out in steps 910 and 912, the spread quantity is 1, and the spread price would be calculated as 0.870 using the following relationship.
k=m
leg1
p
leg1
+m
leg2
p
leg2
+ . . . +m
legn
p
legn
Returning back to
At step 808, the quantities or spread units that were used in step 804 are preferably removed from the stored quantities in step 802.
At step 810, if there are quantities left over in any leg, then move to step 814, otherwise, per step 812, all of the spread quantities and spread prices stored in step 806 can be displayed in the spread window. The spread quantities are displayed at their corresponding spread prices in a spread window. To illustrate this step, the spread quantities in column 706 in
In a preferred embodiment, only those values that change from one moment in time to another are updated, but alternatively, all of the values can be updated or refreshed at once on a frequent basis. In addition, the spread quantities and spread prices may be updated when a trader indicates an update, such as re-centering or re-positioning the spread. Re-centering or re-positioning the spread is described in the incorporated patent applications entitled “Click Based Trading With Intuitive Grid Display Of Market Depth,” “Click Based Trading With Intuitive Grid Display of Market Depth and Price Consolidation,” and “Trading Tools for Electronic Trading.” In yet another preferred embodiment, a throttle adjustment, which is set by a trader or programmer, is utilized in combination with one of the above update techniques. In the throttle adjustment embodiment, a value is provided that reduces the number of times the automatic spreader updates the spread quantities and prices. To illustrate the throttle adjustment embodiment, assume that the throttle value is set to 10 milliseconds. Then, when a change to the spread quantities in a leg occurs, the automatic spreader determines if an update to the spread quantities for the spread has occurred within the last 10 milliseconds. If an update has not occurred within the last 10 milliseconds, then an update to the spread quantities for the spread is calculated. If an update has occurred within the last 10 milliseconds, then an update to the spread quantities for the spread is temporarily postponed until 10 milliseconds has past since the last update. The throttle adjustment embodiment preferably reduces the number of calculations the computer processors has to perform in calculating the spread quantities and prices for the spread, thereby freeing the processing to perform other processing tasks.
At step 814, if there are quantities left over, the automatic spreader repeats the process in steps 804, 806, 808, and 810 using only the left over quantity. This is repeated until all of the remaining quantity has been used up in at least one of the legs.
C. Spread Ask Depth
To determine spread ask depth and prices, the method used in determining the spread bid depth and prices above may also be used, except that the automatic spreader will look to the ask depth in the buy leg(s) and the bid depth in the sell leg(s). So, for example, at step 904 in
As a result of looking to the ask depth in the buy leg(s) and the bid depth in the sell leg(s), per step 812, all of the spread quantities and spread prices stored in step 806 can be displayed in the spread window. The spread quantities are displayed at their corresponding spread prices in a spread window. To illustrate this step, the spread quantities in column 712 in
D. Determining Last Traded Price and Last Traded Quantity
In an embodiment, the last traded price (LTP) and the last traded quantity (LTQ) of the spread are also calculated using LTP and LTQ values received from the market data feeds using the following relationship.
For example, according to
LTP of spread=(105.12leg1*1leg1)+(104.23leg2*−1leg2)=0.89
LTQ of spread=minimum(abs(1leg1/1leg1) and abs(1leg2/−1leg1))=1
For the spread window 700 in
In another embodiment, the LTP and LTQ can be calculated based on the spread units that can be filled with an offsetting sale in the other leg(s). When the LTQ of the first leg (i.e., the buy leg) was traded at or below the highest bid price (HBP), then the LTQ of the spread equals the maximum number of spread units that can be filled with an offsetting sale in the second leg at the HBP; and the LTP of the spread is calculated using that best bid price in the second leg. In some instances, there may not be enough quantity at the HBP in the second leg to create at least one spread unit. Then, preferably, this approach would look to the quantity at the next best bid (next best bid=HBP−one price level) and continue to do so until there is enough quantity to fill one spread unit. In this instance, the LTQ equals 1 and the LTP of the spread would be calculated using the weighted average of the various prices in the second leg needed to fill that quantity. When the LTQ of the first leg was traded at or above the lowest ask price (LAP), then the LTQ of the spread equals the maximum number of spread units that can be filled with an offsetting buy in the second leg at the LAP; and the LTP of the spread is calculated using that LAP in the second leg. This approach can be applied to n legs. Moreover, this approach may use the same weighted average technique described above if there is not enough quantity at the best offer in the second leg to create at least one spread unit.
To illustrate an aspect of this alternative embodiment, referring to the example of
LTP of spread=(105.12*1)+(104.23*−1)=0.89
In this particular example, the method results in the same number as the method above, that is, the method above which used both EQN 5 and EQN 6, but this will not necessarily occur in other examples.
In this alternative embodiment, the LTQ and LTP may also be calculated starting from the second leg (rather than starting from the first leg, as described above). When the LTQ of second leg was traded at or below the best bid, then the LTQ of the spread equals the maximum number of spread units that can be filled with an offsetting sale in first leg at the best HBP; and the LTP of the spread is calculated using that best bid price in the first leg. If the LTQ of second leg was traded at or above the best offer, then the LTQ of the spread equals the maximum number of spread units that can be filled with an offsetting buy in the first leg at the LAP and the LTP of the spread is calculated using that best offer price in the first leg. Similarly, this approach will use the same weighted average technique described above if there is not enough quantity at the best offer in the first leg to create at least one spread unit.
Regardless of which approach is used, the automatic spreader will preferably update the LTQ and LTP for the spread each time there is an update to the LTQ or LTP of any leg.
In a preferred embodiment, once the LTQ is calculated, it is indicated on the spread window only when at least one spread unit is available. For example, referring to
Note also that the LTQ of the spread can be calculated and/or displayed based on any unit scale that the user chooses. For example, it can be calculated and displayed in spread units (corresponding to the exact spread ratios set by the trader) or it can be calculated and displayed based on the lowest common denominator of the spread ratios or it can be calculated and displayed based on any other spread ratio. For example, assume that a trader sets the spread ratios of a two legged spread to be 100 for the first leg and −70 for the second leg, and assume also that the LTQ for the first leg was a buy of 100 and there is 70 available in the bid depth of the second leg. Then, according to this example, if the trader selects to use spread units, the LTQ of the spread would be displayed as a 1, but if the trader selects to use the highest common integer factor, the LTQ of the spread would be displayed as 10 (because the highest common integer factor of the 100/70 spread is 10).
Furthermore, in another embodiment, color coding or other indicators may be utilized to indicate to the trader intra-spread unit variations in the LTQ. For example, the automatic spreader can be programmed to display the LTQ in various shades of color (e.g., ranging from white to green) to indicate increments of a spread unit.
V. Trading in the Spread Window
Using one or more of the techniques described above, the automatic spreader can generate and display a spread window and its corresponding leg windows, per step 108 of the flowchart 100 in
At step 110 in
Referring back to the configuration window 600 in
A. Determining Where to Quote
In a preferred embodiment, at the instant of placing an order in the spread window, the automatic spreader determines where to quote one or more legs of the spread.
At step 1104, the automatic spreader quotes a leg based on information from the entered order, information from the other n−1 legs, and the user's preferences. In a preferred embodiment, the automatic spreader starts by looking to the inside market of the legs of the spread. In particular, it looks to the highest bid price (HBP) with quantity in a legs for which a quote to sell will be needed for this order and it also looks to the lowest ask price (LAP) in those legs for which a quote to buy will be needed. In this example, the order is to buy the spread, so in the preferred embodiment, the automatic spreader will be looking to sell at the HBP in the sell legs and will be looking to buy at the LAP in the buy legs. Recall that the user can select which legs are buy legs and sell legs by entering a positive or negative ratio.
Referring back to this example, the first leg is quoted based on information from the second leg. Looking to the second leg (i.e., a sell leg), there is a buy quantity of 1 in column 1024 at the HBP price of 104.23 in column 1028. However, when there is not enough quantity at that level to fill an offsetting order, the software preferably looks to the next highest bid price (or next lowest sell price depending on if it is a buy) in that leg and continues to do so until it finds enough quantity.
In one embodiment, once enough offsetting quantity is found, the automatic spreader uses the lowest bid price (or the highest sell price depending on if it is a buy) of the quantity used. To illustrate this embodiment, referring to
At step 1104, the price at which to quote in the first leg can be calculated using either EQN 1 or EQN 2.
k=m
leg1
p
leg1
+m
leg2
p
leg2
+ . . . +m
legn
p
legn,
Solving for the unknown price to quote the first leg, p1=105.08. Therefore, a buy order of 5 is entered in the first leg in column 1014 at a price of 105.08 in column 1020. This is evidenced by the illustration of a buy order 1034 in the working order column 1014 of the first leg shown in window 1002.
In another embodiment, once enough offsetting quantity is found, the software can instead calculate the weighted average of prices for that quantity.
At step 1202, the quantity needed to fill the order is determined. In this example, the quantity needed to offset the buy order is 5. This value is known from the entered buy order and from the spread ratios. Note that a trader can enter a sell order, whichever is desired.
At step 1204, the quantity at the LAP in the first leg or the quantity at the HBP in the second leg is determined (or in other n−1 legs, if necessary) depending on the entered order. In this example, the trader entered an order to buy the spread, so to determine where enter an order in the buy leg(s) (in this example, the buy leg is the first leg), the automatic spreader preferably determines where it would currently be possible to fill an offset order by looking at the HBP price in the sell leg. In the ongoing example, a quantity of 1 in column 1024 at the HBP price of 104.23 is shown in column 1028.
At step 1206, a value used in determining the weighted average of prices is found at that quantity, so using a general variable, B, the price determined at that quantity can be calculated: B=(1)(104.23)=104.23. The variable, B, represents the actual price multiplied by the most recent quantity determined in step 1204.
At step 1208, another general variable, Total, is calculated to be used in the weighted average price: Total=B+Total (initially, total=0)=104.23+=104.23. The variable, Total, represents a running total of B in step 1206.
At step 1210, it is determined whether there is sufficient quantity to offset the order, in this example, a quantity of 4 more is needed (5−1=4).
At step 1212, the next lower price level from the HBP is determined (or a next higher level from the LAP, if used), which is a quantity of 6 in column 1024 at price of 104.22 in column 1028. This value will be used in step 1206.
At step 1206, the remaining quantity of 4 is needed (determined from step 1210), so B=(4)(104.22)=416.88.
At step 1208, Total=B+Total=416.88+104.23=521.11.
At step 1210, it is determined that there is sufficient quantity to complete the order (i.e., a quantity of 6 is available in column 1024 at a price of 104.22 in column 1028, however only a quantity of 4 is needed to offset the order).
At step 1214, Total is divided by the total number of quantity included in the order, which is 5. Thus, Total/5=(521.11)/5=104.222. So, the weighted average for the price in the second leg is p2=104.222.
Referring back to
k=m
leg1
p
leg1
+m
leg2
p
leg2
+ . . . +m
legn
p
legn,
Solving for the unknown price to quote the first leg, p1=105.08 (105.082 rounded down) (Note that due to rounding, the weighted average approach results in the same price as with the previous approach, however, this may not always be true.)
At step 1106 in
Continuing with the example in
As described above, in one embodiment, once enough offsetting quantity is found, the automatic spreader can use the lowest bid price (or the highest sell price depending on if it is a buy) of the quantity used. Again, the quantity needed to offset the order is 5. However, the ask quantity of 1 in column 1018 at 105.13 is not enough to offset the order of 5. Thus, the automatic spreader looks to the next level of quantity to supplement the ask quantity of 1, and in this example, finds an ask quantity of 3 in column 1024 at 104.22 and a ask quantity of 6 in column 1024 at 105.16. As a result, the buy quantity of 1 plus 3 plus 1 of the ask quantity of 6 may be used to offset the order of 5. According to this embodiment, the price for the first leg is 105.16.
At step, 1104, it is determined where to quote the second leg, preferably this step uses the same equation as the first leg:
k=m
leg1
p
leg1
+m
leg2
p
leg2
+ . . . m
legn
p
legn,
Solving for the price to quote in the second leg, p2=104.30.
Therefore, a sell order 1036 of 5 in column 1022 is entered in the second leg at 104.30 in column 1028. This is evidenced by the entered sell order 1036 in
Alternatively, finding the weighted average of prices of the quantity needed for an offsetting order can instead be calculated:
p1=((1*105.13)+(3*105.15)+(1*105.16))/5=105.148.
Thus, p1=105.148.
At step, 1104, it is determined where to quote the second leg, preferably this step uses the same equation as the first leg:
k=m
leg1
p
leg1
+m
leg2
p
leg2
+ . . . m
legn
p
legn,
Solving for the price to quote in the second leg, p2=104.29 (104.288 rounded up).
Therefore, a sell order 1036 of 5 in column 1022 could be entered in the second leg at 104.29 in column 1028 (not shown).
This process continues until all of the legs are quoted.
In the preferred embodiment, the user may instead select to have the automatic spreader quote only based on the inside market prices by unselecting the “Adjust For Market Depth” icon in a spread configuration window for any given leg. Using the above example, if this option was unselected, then when quoting the first leg, priceleg2 would have been set at 104.23. The offsetting order on the first leg would have been entered, then, at
spread price=(priceleg 1*mleg1)+(priceleg2*mleg2)
0.860=(price)(1)+(104.23)(−1), where priceleg1=105.09.
Similarly, for quoting the second leg, priceleg1 would have been set at 105.13 and the offsetting order on the second leg would have been entered at 104.27.
Regardless of which method is used to quote a leg, the automatic spreader preferably determines if there is enough quantity to complete an offsetting order before an order is entered. In the examples above, there was enough quantity to complete the offsetting order and thus the automatic spreader allowed the entering of the buy order in the spread. Preferably, the automatic spreader allows a trader to select how to enter orders when there is not enough quantity to complete the order, but alternatively, the automatic spreader could be programmed on how to enter orders when there is not enough quantity to complete the order. In a preferred embodiment, when there is not enough quantity to complete the offsetting order, the automatic spreader does not allow the order (i.e., to buy or sell the spread) to be entered at that time, and preferably advises the trader that there is not enough quantity to complete the order. The trader can change his or her order accordingly. In another preferred embodiment, when only a fraction of the offsetting order can be completed, the automatic spreader will allow an order for only the fraction available and advise that the order could not be entered for the remaining portion of the order. For example, assume that a trader has attempted to enter an order to buy 30, but only 10 was available at that time, then in this embodiment, the automatic spreader would enter an order to buy 10, and advise the trader that the remaining 20 could not be entered. In yet another preferred embodiment, if there was enough quantity at the time the order was entered, but the quantity changed and now there is not enough quantity to complete the order, the automatic spreader can delete the order or part of the order, if possible. Alternatively, the automatic spreader can be programmed to look for more quantity than is needed to complete an offsetting order before an order is entered to operate as a protective mechanism that would increase the likelihood that an offset will get filled. There are many other ways in which the automatic spread may allow orders to be entered or not entered, depending on available quantities in the market and the invention is not limited to any particular approach.
B. Re-Pricing of Quotes
At this point, a user has already entered an order. As the markets for each leg move, the price levels of the working orders in the legs need to change in order to maintain the spread level being sought by the trader. Preferably, the automatic spreader automatically moves the working orders in the legs accordingly. A trader may want to limit the number of times the automatic spreader re-quotes the legs. This may desirably reduce the chances of losing a trader's spot in the queue at the exchange, or may reduce the charges for submitting orders at an exchange, etc. Thus, in the preferred embodiment, the automatic spreader allows an acceptable range of prices to change before the automatic spreader re-prices the order into the legs. Therefore, if the market has moved, but is still within the acceptable range set by the user, the working orders in the legs will not be moved. Accordingly, if a working order gets filled the actual price that the trader purchased or sold the spread at may be different (within the acceptable range set by the trader) than the price of the spread at which the trader originally entered the order.
This acceptable range is defined by variables that are referred to herein as “slop”. Generally, slop is a number based on units of change in whatever denomination the prices of the spread are calculated A preferred embodiment uses values for both an ‘inside’ and an ‘outside’ slop. As described herein, the inside slop value generally defines the worst price (the highest in the case of spread bid and the lowest in the case of a spread offer) a user is willing to accept for a spread, and the outside slop generally defines the best price (the lowest in the case of a spread bid and the highest in the case of a spread offer) the user is willing to accept for a spread. Referring back to the spread configuration window 600 in
As previously described above, using slop, the spreader will change the price levels of working orders in the legs when the working spread changes such that it is out of the range between the inner and outer prices. Whenever market prices change, a trader's working spread orders are preferably checked against the trader's desired spread price for price validity (e.g., whether or not they are within the slop settings).
For spread bid: Inner Price=Target Price+Inside Slop [EQN 6]
Outer Price=Target Price−Outside Slop [EQN 7]
If Outer Price<=Working Price<=Inner Price, then the working orders in the legs may be unchanged. Otherwise, working orders may be re-calculated and re-entered pursuant to the quoting algorithms described above.
For spread offer: Inner Price=Target Price−Inside Slop [EQN 8]
Outer Price=Target Price+Outside Slop [EQN 9]
If Inner Price<=Working Price<=Outer Price, then the working orders in the legs may be unchanged. Otherwise, working orders may be re-calculated and re-entered pursuant to the quoting algorithms described above.
In the calculations above, the ‘working price’ is the trader's working spread price based on the current markets in the legs. The working price starts off equal to the user's target or desired price, and moves up and down in price as the market fluctuates. The ‘target price’ is the desired price of the trader's spread order entered in the spread window. The ‘inner price’ and ‘outer price’ are the prices that form the slop range that are preferably set by the user. Below are two examples that further illustrate slop and the automatic re-pricing mechanism.
i) Example 1—Re-Pricing
Assuming that both the inside and outside slop settings in the spread configuration window were set to 5, the spread range for the offer would be between the prices of 79.00 and 89.00 and the spread range for the bid would be between the prices of 75.00 and 85.00. According to this example, the working spread range values are calculated as follows:
For the spread bid: Inner Price=80.00+5=85.00
Outer Price=80.00−5=75.00
For the spread offer: Inner Price=84.00−5=79.00
Outer Price=84.00+5=89.00
ii) Example 2—Re-Pricing
In yet another example, assume that a trader is trying to buy a spread at a price of 700 with an inside slop of 20 and an outside slop of 50. Thus, if the working spread price remains within a range of 650-720, the auto spreader may not re-price the working orders in either of the two spread legs. Moreover, this also means that the trade may get filled anywhere between 650-720, even though the spread order bid is at 700. Similarly, if the trader were trying to sell the spread at 700 with the same slop values, the acceptable fill range is between 680-750. The relevant spread parameters might include for leg A: spread ratio=1, multiplier=10, active quoting on; for leg B: spread ratio=−1, multiplier=−10, and active quoting is turned off Also, for the purposes of this example it is assumed that the trader has chosen to use inside market prices as the basis for quoting.
For this example, the trader wants to buy the spread at 700, assuming that the market is currently:
Knowing that the trader would have to sell leg B at 900, the auto spreader calculates where to put the buy in for leg A to achieve a spread price of 700 by using either EQN 1 or EQN 2:
(10*X)−(10*900)=700
X=970
So, the spreader places a bid in leg A for 970. Now, assume the slop settings are an inside slop of 20 and an outside slop of 50.
In this embodiment, because the trader is buying the spread, the inside slop applies to spread prices above the target price, and the outside slop applies to spread prices below the target price. If the trader were selling the spread, the opposite would be true. So, in this particular case, with these slop settings (i.e., inside slop=20, outside slop=50), the trader is trying to buy the spread at 700, but in the interest of avoiding constant quoting the trader is willing bid the spread in a range between 650 and 720. Since the trader is only actively quoting leg A, the only thing that might cause the order in leg A to move, is a change in the buy price for leg B (e.g., because the trader would like to sell leg B).
Now, assume that the market in B moves to 899 in leg B, 920 in leg A. Thus, if our working buy order in leg A were to hit at 970, the order in leg B would sell at 899 and the spread price would be:
(10*970)−(10*899)=710
The spread price of 710 is within the acceptable range of spread prices (i.e., 650-720) so the automatic spreader would not move the resting order in leg A at 970. Next, assume that the market in leg B drops to 896 in leg B, 919 in leg A. If the working buy order in leg A were hit at 970, the order in leg B would sell at 896 which implies:
(10*970)−(10*896)=740
This price (i.e., 740) is now outside of the acceptable price range established by the slop so the quote in leg A is moved. The automatic spreader would then calculate the new price for leg A based on the spread order price of 700 and a bid price in leg B of 896:
(10*X)−(10*896)=700
X=966
The automatic spreader changes the price of the bid order on leg A to 966. Now, assume that the bid in B moves back up to 900. If the buy order at 966 in leg A is filled and leg B would sell at 900. That gives a spread price of:
(10*966)−(10*900)=660
The spread price of 660 is within the acceptable range of 650-720, so the quote in leg A does not need updating. However, suppose that the bid in leg B continues up to 903. If the buy order at 966 in leg A is filled and sell leg B at 903, it would give us a spread price of:
(10*966)−(10*903)=630
Since, the spread price of 630 is outside the acceptable range of 650-720, the buy order in leg A would be updated, like before:
(10*X)−(10*903)=700; X=973
Thus, the working order in A is moved up to 973.
In the preferred embodiment, a trader can choose the particular manner in which the automatic spreader re-prices orders. For example, preferably the trader can choose to cause the automatic spreader to delete old orders and enter new orders or the trader can choose to have the automatic spreader use cancel/replace orders.
C) After an Order is Filled
Once a leg is filled, an “offset order” is preferably sent to fill the other leg(s) at either the market price or as a limit order with pre-defined “pay-up ticks,” depending on the configuration of the spread as set by the user. A market order is a bid or ask order that is executed at the best price currently available in the market. In this embodiment, the best prices are those prices nearest to the inside market, where the inside market is the highest bid price and the lowest ask price for the tradeable object being traded for which there is quantity in the market. A limit order is executed at a specific price as dictated by the trader, regardless of whether it is the best price and/or regardless of whether there is sufficient quantity available for an immediate fill.
Preferably, the user may configure the automatic spreader 214 to use either of these two offset techniques, but alternatively, other offset techniques known in the art of trading may be implemented. Referring to
In this embodiment, the ‘payup tick’ value in field 626 represents the number of ticks (a tick is the minimum change in a price value that is set by the exchange for a tradeable object) that a trader is willing to pay beyond the basis of the limit price to complete a spread. To establish the price of the limit order, the payup tick value is added to the basis for a buy order and subtracted from the basis for a sell order. This allows the trader to set a level of tolerance with respect to the filling of an additional leg. In the preferred embodiment this tolerance is defined by the user specifying a number of ticks but the invention is not limited to this particular technique. The use of pay-up ticks is further illustrated in the example below.
i) Example 1—Quoting One or Two Legs With Offset Based on Market Orders
For example, when quoting one leg of a two-legged spread, after the working order is filled in the quoted leg, the automatic spreader will preferably send an offset market order to fill the other leg. If the automatic spreader is quoting both legs of a two-legged spread, after one of the working orders in one of the legs is filled, the automatic spreader preferably sends an offset market order to the other leg and then attempts to delete the working order that was being quoted in the other leg. If some or all of that working order gets filled before it can be deleted, in the preferred embodiment, the automatic spreader sends a corresponding offset market order to the other leg. This situation is called a double fill scenario. Alternatively, the automatic spreader can be set to first delete the working order being quoted in the other leg before sending the offset market order. The invention is not limited to the specific technique used.
When a partial quantity is filled in one of these legs, the spread ratio settings are preferably used to determine the quantity of the order that is sent into the second leg's market. For example, suppose a trader is working a 10-by-30-spread order and two of the 10 working quantity are filled on the first leg (20% of the working quantity). An equal percentage (20%) of the offset quantity may be sent into the market for the second leg. For the above example, a quantity of six (20% of 30) would be sent into the second leg's market, and the quantity of the spread would be adjusted based on the partially filled quantity. If the quantity (or spread units) are not whole numbers, the automatic spreader can round up/down or truncate, depending on how it is programmed.
ii) Example 2—Pay-Up Ticks
Referring to
VI. Additional Embodiments
A. Using a Visual Indicator to Identify Spread Orders
In a preferred embodiment, a visual indicator is used to identify a spread window and the spread's associated orders from other spreads and/or orders. In this embodiment, the visual indicator is a color used to identify or distinguish a spread and its corresponding orders from other spreads and/or orders. Referring to
In an alternate embodiment, other indicators such as text may be used to identify a spread window and the spread's associated orders from other spreads and/or orders. Moreover, a combination of indicators such as text and color may be used. Such indicators preferably allow a trader to easily and quickly distinguish spread orders from other spread orders, as well as orders entered directly into the underlying legs.
B. Multiple Spread Windows
In this embodiment, multiple spreader windows may be open, depending on the application. Each spreader window may be independent from each other, even if they share common legs.
C. Ability to Trade in Legs
In this embodiment, a user may also trade in the legs. That is, orders may be entered directly into one or more of the legs as trades that are independent from the spread trade. Using a visual indicator, or lack thereof, leg trades may be distinguished from working orders for a spread trade.
D. Ability to Move/Cancel Spread Quotes in Legs
In this embodiment, a user can move and/or cancel orders in any of the legs at any time before filling. For example, in
The same is true for orders entered in the legs. Using the delete icons shown in the legs, a user can delete some or all of the orders for that particular tradeable object. In addition, orders in the legs can be moved in a similar fashion as moving spread orders. Although, moving orders in the legs that are related to a spread may change the target or implied price of the spread.
VII. Conclusion
The present embodiments facilitate the automatic trading of spreads. The present embodiments may assist a trader who trades in a competitive electronic trading environment. Sometimes, information in the markets is moving so rapidly that even the human mind cannot comprehend the numbers in a fast enough manner as to make accurate trades. The present embodiments, however, can take this fast-moving market information and may automatically calculate what to quote, what price to quote at, and how much to quote, in addition to other useful aids. This can result in successfully making trades at the most favorable prices.
Moreover, they provide a user with the ability to create a spread between one or more tradeable objects. This provides a unique opportunity to a trader because it allows the trader to trade a spread not otherwise offered by an exchange. The present embodiments provide a flexible solution because they allow a user to select which tradeable objects they desire to trade as a spread, and upon selection, a spread window may be generated and displayed. Moreover, the user can submit orders for one or more legs, while aspects of the present embodiments automatically and actively quote the other legs in order to achieve the spread. Other embodiments also assist the trader by allowing for the efficient and quick re-pricing of quotes in the legs of the spread and by allowing the trader to set tolerance levels (slop) so that the automatic spreader can automatically determine when to re-price in an efficient manner as specified by the trader. In addition, an embodiment allows the trader to easily simultaneously trade multiple spreads and the legs of the spread, across one or more markets. Furthermore, the present embodiments may allow a trader to identify an opportunity they would like to trade, automatically place the orders that establish the opportunity, and manage the opportunity until it closes.
There are many ways in which the present embodiments can be utilized in trading tradeable objects. Therefore, it should be understood that the above description of the invention and specific examples, while indicating preferred embodiments of the present invention, are given by way of illustration and not limitation. Many changes and modifications within the scope of the present invention may be made without departing from the spirit thereof, and the present invention includes all such changes and modifications. For example, the methods for generating the spread window may be modified for a particular type of trading, and in particular, for a particular type of spread trading. In yet another example, the methods for quoting the legs may also be modified for a particular type of trading.
This application is a continuation of U.S. patent application Ser. No. 16/882,145 filed May 22, 2020, which is a continuation of U.S. patent application Ser. No. 16/563,050, filed on Sep. 6, 2019, now U.S. Pat. No. 10,699,341, which is a continuation of U.S. patent application Ser. No. 15/947,484, filed on Apr. 6, 2018, now U.S. Pat. No. 10,453,138, which is a continuation of U.S. patent application Ser. No. 14/285,263, filed on May 22, 2014, now U.S. Pat. No. 9,972,049, which is a continuation of U.S. patent application Ser. No. 13/416,011, filed on Mar. 9, 2012, now U.S. Pat. No. 8,768,806, which is a continuation of U.S. patent application Ser. No. 12/164,859, filed on Jun. 30, 2008, now U.S. Pat. No. 8,180,692, which is a continuation of U.S. patent application Ser. No. 11/417,533, filed on May 3, 2006, now U.S. Pat. No. 7,424,450, which is a continuation of U.S. patent application Ser. No. 10/137,979, filed on May 3, 2002, now U.S. Pat. No. 7,437,325, which claims the benefit of U.S. Provisional Application No. 60/361,958, filed on Mar. 5, 2002. The entire contents of each of these applications are herewith incorporated by reference into the present application for all purposes.
Number | Date | Country | |
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60361958 | Mar 2002 | US |
Number | Date | Country | |
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Parent | 16882145 | May 2020 | US |
Child | 17122874 | US | |
Parent | 16563050 | Sep 2019 | US |
Child | 16882145 | US | |
Parent | 15947484 | Apr 2018 | US |
Child | 16563050 | US | |
Parent | 14285263 | May 2014 | US |
Child | 15947484 | US | |
Parent | 13416011 | Mar 2012 | US |
Child | 14285263 | US | |
Parent | 12164859 | Jun 2008 | US |
Child | 13416011 | US | |
Parent | 11417533 | May 2006 | US |
Child | 12164859 | US | |
Parent | 10137979 | May 2002 | US |
Child | 11417533 | US |