CN113706308B - Method, computing device, and medium for generating an order for a target object - Google Patents
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Abstract
The present disclosure relates to a method, computing device, and computer storage medium for generating an order for a target object. The method comprises the following steps: acquiring transaction price data of a target object in a current sampling period; determining display window size data for a computing device; determining the number and position information of display units included in the plurality of indication columns; determining location information of a plurality of display units for respectively presenting transaction prices of the current sampling period, the first attribute and transaction numbers of the second attribute in real time; responsive to determining that the cursor dwell position is within the display region of the indication columns, causing the first indication column to hold price indication data; in response to determining that a click operation is detected for the display area of the second indication column or the third indication column, a target price and a target transaction attribute are respectively determined to generate an order for the target object. The present disclosure ensures that traders automatically generate orders based on accurately selected prices.
Description
Technical Field
The present disclosure relates generally to data processing, and in particular, to a method, computing device, and computer storage medium for generating orders for target objects.
Background
In a conventional scheme for generating orders for target objects (for example, a scheme for generating orders in conventional stock or option trading software), when generating orders, a trader is usually required to select contracts about target objects, manually fill or select a purchase price or a sell price, input the number of purchased or sold pens, and then click on a placing operation control, which is cumbersome and time-consuming, and particularly when a plurality of orders need to be generated, placing opportunities are easily missed when the market conditions change rapidly. If the transactor needs to refer to the transaction price of the target object at the same time when placing an order, the transactor needs to switch to the transaction price data of the target object additionally, and the price data frequently beats due to rapid market fluctuation, which is unfavorable for the transactor to accurately select the order price.
In summary, the conventional scheme for generating orders for target objects has the following disadvantages: the ordering operation is tedious and time-consuming, the ordering time is easy to miss, and the trader is difficult to accurately select the ordering price.
Disclosure of Invention
The present disclosure provides a method, a computing device, and a computer storage medium for generating an order for a target object, capable of ensuring that a trader automatically generates an order based on an accurately selected price without cumbersome manual operations while conveniently exhibiting real-time rapid changes regarding the quotation of the target object.
According to a first aspect of the present disclosure, a method for generating an order for a target object is provided. The method comprises the following steps: at a computing device, obtaining transaction price data of a target object of a current sampling period, the transaction price data indicating at least transaction price data, unit change price data, transaction identification data, and transaction price and transaction quantity associated with the transaction identification data of the current sampling period, the transaction identification data indicating at least transaction attributes, the transaction attributes including a first attribute and a second attribute; determining display window size data for a computing device; determining the number and position information of display units included in a plurality of indication columns based on a preset size set value, unit change price data and display window size data, wherein each display unit of a first indication column in the plurality of indication columns is used for respectively presenting corresponding price indication data; determining position information of a plurality of display units for respectively presenting the transaction price, the transaction quantity of the first attribute and the transaction quantity of the second attribute of the current sampling period in real time based on at least the transaction price data of the current sampling period, the price indication data corresponding to each display unit and the transaction identification data; responsive to determining that the cursor dwell position is located within the display region of the indication column, causing each display element of the first indication column to hold price indication data presented in a sampling period at which the cursor dwell start time is located; in response to detecting a click operation for the display area of the second indication column or the third indication column, determining a target price and a target transaction attribute, respectively, based on an abscissa and an ordinate at the click operation; and generating an order for the target object based on the determined target price and the target transaction attribute, so as to send the generated order to the control device.
According to a second aspect of the present invention there is also provided a computing device, the device comprising: at least one processing unit; at least one memory coupled to the at least one processing unit and storing instructions for execution by the at least one processing unit, the instructions when executed by the at least one processing unit cause the computing device to perform the method of the first aspect of the disclosure.
According to a third aspect of the present disclosure, there is also provided a computer-readable storage medium. The computer readable storage medium has stored thereon a computer program which, when executed by a machine, performs the method of the first aspect of the present disclosure.
In some embodiments, the method for generating an order for a target object further comprises: responsive to determining that the cursor dwell position is within the display region of the indication column, determining a position of the first identification frame based on the transaction price data for the current sampling period and the held price indication data; and moving the first identification frame on the first indication column based on the determined location of the identification frame such that movement of the identification frame indicates a change in the transaction price data.
In some embodiments, determining the target price and the target transaction attribute based on the abscissa and the ordinate, respectively, at the click operation includes: determining a target transaction attribute of the order as sell in response to determining that the abscissa at the click operation is between the first and second abscissa information of the second indication column; determining a target transaction attribute of the order as a buy in response to determining that the abscissa at the click operation is between the third abscissa information and the fourth abscissa information of the third indication column; and determining price indication data corresponding to the display units having the same ordinate at the click operation to determine a target transaction price for the order based on the price indication data corresponding to the display units having the same ordinate.
In some embodiments, determining the target price and the target transaction attribute based on the abscissa and the ordinate at the click operation, respectively, further comprises: determining that the target transaction attribute of the order is revocation in response to determining that the abscissa at the click operation is between the fifth abscissa information and the sixth abscissa information of the fourth indication column; acquiring transaction quantity associated with a display unit where a clicking operation position is located and price indication data corresponding to the display unit corresponding to a first indication column; and generating a target delegated order for canceling the target object, the target delegated order targeting the acquired price indication data as a target trade price and indicating the acquired trade quantity.
In some embodiments, the method for generating an order for a target object further comprises: acquiring event data of a mouse roller; determining a rolling direction and a rolling amplitude for a rolling operation of the mouse wheel based on the acquired attribute information about the event object in the mouse wheel event data; determining price adjustment data based on the scroll magnitude; in response to determining that the scrolling operation for the mouse wheel is scrolling upward, increasing price indication data corresponding to each display unit of the first indication column by the determined price adjustment data; in response to determining that the scrolling operation for the mouse wheel is scrolling downward, reducing price indication data corresponding to each display unit of the first indication column by the determined price adjustment data; displaying price indication data after the price adjustment data is increased or decreased via the first indication column; and updating the position information of the first display unit group for presenting the plurality of transaction amounts of the first attribute and the position of the second display unit group for presenting the plurality of transaction amounts of the second attribute based on the price indication data after the adjustment data.
In some embodiments, determining location information for a plurality of display units for respectively presenting in real-time a transaction price for a current sampling period, a transaction quantity for a first attribute, a transaction quantity for a second attribute includes: determining a position of a first display unit for presenting the current transaction price in real time based on the current transaction price data and price indication data corresponding to the display unit in response to determining that the centering mode is not set, so as to render the price indication data corresponding to the first display unit; and determining position information of a first display unit group for presenting a plurality of transaction amounts of the first attribute in a second indication column based on the transaction attribute and the transaction price associated with the transaction identification data, price indication data corresponding to the display units; and determining a position of a second set of display elements for presenting a plurality of transaction amounts of the second attribute in a third indication column.
In some embodiments, determining location information for a plurality of display units for respectively presenting in real-time a transaction price for a current sampling period, a transaction quantity for a first attribute, a transaction quantity for a second attribute further comprises: in response to determining that the centering mode is set, determining a display unit at a centered position of the first indication column as a position of the first display unit for presenting the current transaction price in real time, so as to render price indication data corresponding to the first display unit; and updating the price indication data corresponding to the other display units of the first indication column based on the price indication data corresponding to the first display unit and the unit change price data.
The summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the disclosure, nor is it intended to be used to limit the scope of the disclosure.
Drawings
Fig. 1 shows a schematic diagram of a system for a method of generating an order for a target object according to an embodiment of the present disclosure.
FIG. 2 illustrates a flow chart for generating an order for a target object according to an embodiment of the present disclosure.
Fig. 3 shows a schematic diagram of an indication column according to an embodiment of the present disclosure.
Fig. 4 illustrates a flow chart of a method for determining a target price and a target transaction attribute, respectively, according to an embodiment of the present disclosure.
Fig. 5 illustrates a flowchart of a method for adjusting indication column presentation information according to an embodiment of the present disclosure.
Fig. 6 illustrates a flowchart of a method for indicating a change in transaction price data, according to an embodiment of the present disclosure.
Fig. 7 shows a flowchart of a method for withdrawing orders according to an embodiment of the present disclosure.
Fig. 8 schematically illustrates a block diagram of an electronic device suitable for use in implementing embodiments of the present disclosure.
Like or corresponding reference characters indicate like or corresponding parts throughout the several views.
Detailed Description
Preferred embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While the preferred embodiments of the present disclosure are illustrated in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
The term "comprising" and variations thereof as used herein means open ended, i.e., "including but not limited to. The term "or" means "and/or" unless specifically stated otherwise. The term "based on" means "based at least in part on". The terms "one example embodiment" and "one embodiment" mean "at least one example embodiment. The term "another embodiment" means "at least one additional embodiment". The terms "first," "second," and the like, may refer to different or the same object.
As described above, the conventional scheme for generating an order for a target object has disadvantages in that: the ordering operation is tedious, time-consuming and easy to miss ordering time, and the trader is difficult to accurately select the ordering price.
To at least partially address one or more of the above-mentioned problems, as well as other potential problems, example embodiments of the present disclosure propose a solution for generating an order for a target object. In the scheme of the disclosure, through the fact that each display unit of the first indication column is used for respectively presenting corresponding price indication data and determining position information of a plurality of display units for presenting the transaction price of the current sampling period, the transaction quantity of the first attribute and the transaction quantity of the second attribute in real time, the presentation information of the display units of the indication column of the disclosure can be quickly adjusted along with the current transaction price data and the market change in real time. In addition, when the mouse cursor is positioned in the area of the indication column, the first indication column keeps the price indication data presented in the sampling period where the cursor stop starting moment is positioned, namely the price indication data presented in the first indication column is locked, so that the problem that the price to be placed is not easy to select by a user due to the rapid-jump market change data is avoided. Furthermore, the method and the system automatically generate and send orders through the target price and the target transaction attribute determined based on the abscissa and the ordinate of the clicking operation, so that the convenience and the intellectualization of ordering can be remarkably improved. Therefore, the method and the system can conveniently show real-time rapid changes of the quotations of the target objects, and ensure that a transactor automatically generates orders based on accurately selected prices without complicated manual operation.
Fig. 1 shows a schematic diagram of a system 100 for a method of generating an order for a target object according to an embodiment of the present disclosure. As shown in fig. 1, the system 100 includes: a plurality of computing devices 110 (the computing devices 110 include, for example, a first computing device 110-1, a second computing device 110-2 through an nth computing device 110-N), a management device 130, and a network 150.
With respect to the management device 130, it is, for example, a server for sending transaction price data regarding one or more target objects to the plurality of computing devices 110, and processing orders from the plurality of computing devices 110 regarding the one or more target objects. In some embodiments, the management device 130 is, for example, a server of an exchange. The management device 130 includes, for example, but is not limited to, a server computer, multiprocessor system, mainframe computer, distributed computing environment including any of the above systems or devices, and so on.
With respect to computing device 110, it is configured to receive, present transaction data regarding a target object, and generate and send orders regarding the target object. In some embodiments, computing device 110 is, for example, a user (trader) side computing device for buying and selling stocks, futures. The computing device 110 may be configured to obtain transaction price data for the target object from the current sampling period of the management device 130; determining display window size data for the computing device 110; the number and position information of the display units included in the plurality of indication columns are determined. The computing device 110 may also determine location information for a plurality of display units for respectively presenting in real-time the transaction price for the current sampling period, the transaction quantity for the first attribute, the transaction quantity for the second attribute; when the cursor stay position is determined to be positioned in the display area of the indication column, each display unit of the first indication column is enabled to keep price indication data presented in a sampling period where the cursor stay starting moment is positioned; and determining a target price and a target transaction attribute based on the abscissa and the ordinate at the click operation, respectively, and generating and transmitting an order for the target object. In some embodiments, computing device 110 may have one or more processing units, including special purpose processing units such as image processing units GPUs, field programmable gate arrays FPGAs, and application specific integrated circuits ASICs, and general purpose processing units such as central processing units CPUs.
A method 200 for generating an order for a target object according to an embodiment of the present disclosure will be described below in connection with fig. 2 and 3. Fig. 2 illustrates a flow chart of a method 200 for generating an order for a target object according to an embodiment of the present disclosure. Fig. 3 shows a schematic diagram of an indication column according to an embodiment of the present disclosure, it being understood that the method 200 may be performed, for example, at the electronic device 800 depicted in fig. 8. May also be performed at the computing device 110 depicted in fig. 1. It should be understood that method 200 may also include additional acts not shown and/or may omit acts shown, the scope of the present disclosure being not limited in this respect.
At step 202, the computing device 110 obtains transaction price data for the target object for the current sampling period, the transaction price data indicating at least transaction price data for the current sampling period, unit change price data, transaction identification data, and transaction price and transaction quantity associated with the transaction identification data, the transaction identification data indicating at least transaction attributes, the transaction attributes including a first attribute and a second attribute.
As for the target object, it is for example, but not limited to, stocks, futures, etc. The unit change price data is, for example, the minimum change price of the contract.
With respect to the sampling period, the computing device 110 samples transaction price data for the target object twice, for example and without limitation, within 1 second.
Regarding transaction attributes, they include, for example, a first attribute, a second attribute, and a third attribute. The first attribute is, for example, sell. The second attribute is, for example, buy. The third attribute is, for example, drop out.
With respect to the transaction identification data, it is for example indicative of at least a transaction attribute, a transaction identification, a transaction price associated with the transaction identification, and a transaction quantity. The transaction identifications include, for example, "buy one" (which indicates the highest bid amount of the buyer), "sell one" (which indicates the lowest bid amount of the buyer), and "buy two" (which indicates the next highest bid amount of the buyer), and "sell two" (which indicates the next lowest bid amount of the buyer), and so on. Taking the transaction identifier "buy one" as an example, the transaction price and the transaction amount associated with the transaction identifier "buy one" are, for example, the commissioned purchase price and commissioned number of buyers with the highest purchase price.
At step 204, the computing device 110 determines display window size data for the computing device.
Methods for determining display window size data for a computing device may include a variety of methods, such as: acquiring the display window size through a GetClientRect (LPRECT lpRect) function; then obtaining the position of the clickable area through interface layout; the position of each display element is then calculated from the row of display elements and the column width (or index column) size of the display element.
It should be appreciated that lpect, above, represents a pointer that points to a rectangle structure of the RECT type. The rectangle structure is configured with left, top, right and bottom fields, which can be set to the size of the window. For example, the client coordinate CWnd of the workspace is copied into the structure pointed to by lplect. The parameter LPRECT in void GetClientRect (LPRECT) const points to the RECT structure or the CRect object to receive the client coordinates. The left, top field is 0. The right and bottom fields indicate the width and height of the window. Wherein the client coordinates specify the upper left and lower right corners of the workspace. Since the client coordinates are relative to the upper left corner of the workspace, the upper left corner coordinates are, for example, (CWnd 0, 0).
At step 206, the computing device 110 determines, based on the predetermined size setting, the price per unit change data, the display window size data, the number and location information of display units included in the plurality of indication columns, each display unit of a first indication column of the plurality of indication columns for presenting corresponding price indication data, respectively.
Regarding the plurality of indication columns, as shown in fig. 3, it includes, for example, a first indication column 310 for presenting price indication data, a second indication column 320 for presenting commission information of a sell target object, a third indication column 330 for presenting commission information of a buy target object, and a fourth indication column 340 for presenting commission information that a user has not completed. Each indication column includes a plurality of display units. For example, the second indicator column 320 presents the number of delegation from "sell" 324 to "sell five" 322, and the third indicator column 330 presents the number of delegation from "buy one" 332 to "buy five" 334. The corresponding price indication data in line with the corresponding display units of "sell" 324 to "sell five" 322 reflects the commission price of "sell one" 324 to "sell five" 322. For example, the commission price of "sell one" 324 is 5118.
As for the predetermined size setting value, it is, for example, the height of each display unit row or the height of each display unit. The height of each display element is for example, but not limited to, 0.2.
The method of determining the number and position information of the display units included in each indication column includes, for example: determining the number of rows of display units based on the height of each display unit row and the display window size data; determining position information of the number of display units in each indication column based on the number of rows of the display units; associating the transaction price of the current sampling period with a row of display units at a longitudinally central position of the screen to serve as price indication data corresponding to the display units at the central position; and determining corresponding price indication data of each display unit in the first indication column based on the price indication data corresponding to the display unit at the longitudinally central position, the unit change price data and the distance between each display unit in the first indication column and the longitudinally central position. For example, the display unit 312 at the vertically centered position of the first indication column 310 presents a transaction price of 5117 for the current sampling period, with the corresponding price indication data for each display unit above the vertically centered position increasing by one in units of varying price data (e.g., 1); the corresponding price indication data of each display unit under the center position is decremented by one according to the unit change price data (for example, 1) so as to finally determine the price indication data corresponding to each display unit in the first indication column 310.
At step 208, the computing device 110 determines location information for a plurality of display units for respectively presenting in real-time a transaction price for the current sampling period, a transaction quantity for the first attribute, and a transaction quantity for the second attribute based at least on the transaction price data for the current sampling period, the price indication data for each display unit, and the transaction identification data. By adopting the means, the display information of the display units of the indication column is quickly adjusted along with the market change, so that the real-time change of the market about the target object can be better displayed. In some embodiments, the color of the display unit that is greater than or equal to the "sell" trade price fills in to a first color, such as a dark red; the color of the display unit that is less than the "sell" trade price fills in a second color, such as a pale red. For example, the computing device 110 compares the transaction price data for the current sampling period with price indication data corresponding to each display unit in the first indication column 310 to present the transaction price for the current sampling period at the display unit associated with the corresponding price indication data equal to the transaction price for the current sampling period. The computing device 110 may also compare the transaction price associated with the transaction identification data of the first attribute with price indication data corresponding to each display element in the first indication column; the display unit associated with the transaction price equal price indication data associated with the transaction identification data of the first attribute is determined so as to present the transaction amount of the first attribute at the display unit in the second indication column 330 that is in line with the determined display unit. The computing device 110 may also compare the transaction price associated with the transaction identification data of the second attribute with price indication data corresponding to each display element in the first indication column; the display unit associated with the corresponding price indication data that is equal to the transaction price associated with the transaction identification data of the second attribute is determined so that the number of transactions of the second attribute is presented at the display unit in the second indication column that is in the same row as the determined display unit.
For another example, if the computing device 110 determines that the centering mode is set, determining the display unit at the centered position of the first indication column as the position of the first display unit for presenting the current transaction price in real-time so as to render price indication data corresponding to the first display unit; and updating the price indication data corresponding to the other display units of the first indication column based on the price indication data corresponding to the first display unit and the unit change price data.
At step 210, computing device 110 determines whether the cursor dwell position is within the display region of the indication column. For example, computing device 110 captures location information of a mouse cursor based on windows API technology, and if computing device 110 determines that the cursor dwell position is not within the display region of the indication column, step 218 is skipped.
At step 212, if computing device 110 determines that the cursor dwell position is within the display region of the indication column, each display element of the first indication column is caused to hold price indication data presented at the sampling period at which the cursor dwell start time was located. For example, if the computing device 110 determines that the cursor dwell is within the display region of the indication column based on the abscissa at which the cursor dwell is located, the sampling period at which the cursor dwell starts is determined as the operation period, so that the content displayed by each display unit of the first indication column 310 no longer changes with the change in transaction price data of the current sampling period acquired in real time, but rather, the price indication data presented at the operation period is presented by each display unit of the first indication column. By adopting the means, even when the price of the target object fluctuates fast, when the mouse cursor is positioned in the indication area, the price indication data presented by the first indication column can be locked, so that the problem that the user cannot easily select the price to be placed is solved. In some embodiments, when the computing device 110 captures a mouse cursor position in any of the second (e.g., corresponding to the sell information indication column), third (e.g., corresponding to the buy information indication column), and fourth (e.g., corresponding to the drop information indication column) columns, the price indication data for the first indication column may be locked.
In some embodiments, if computing device 110 determines that the cursor dwell position is not within the display region of the indication column, each display element of first indication column 310 presents price indication data generated based on the transaction price data of the target object for the current sampling period. By adopting the means, when it is determined that the user does not have an operation intention, the presentation information of the display unit of the indication column can be quickly adjusted again following the change of the market.
At step 214, computing device 110 determines whether a click operation within the display area for the second or third indication column is detected. If computing device 110 determines that a click operation is not detected for the display area of the second or third indication column, step 218 is skipped.
At step 216, if the computing device 110 determines that a click operation is detected for the display area of the second or third indication column, a target price and a target transaction attribute are determined based on the abscissa and the ordinate at the click operation, respectively.
Regarding the method of determining the target price and the target transaction attribute, respectively, it includes, for example: determining a target transaction attribute of the order as sell in response to determining that the abscissa at the click operation is between the first and second abscissa information of the second indication column; determining a target transaction attribute of the order as a buy in response to determining that the abscissa at the click operation is between the third abscissa information and the fourth abscissa information of the third indication column; and determining price indication data corresponding to the display units having the same ordinate at the click operation to determine a target transaction price for the order based on the price indication data corresponding to the display units having the same ordinate. The method for determining the target price and the target transaction attribute respectively will be described in detail with reference to fig. 4, and will not be described herein.
At step 218, the computing device 110 generates an order for the target object based on the determined target price and the target transaction attribute, to send the generated order to the control device. For example, computing device 110 generates an order to sell the target object at a sell price 5124 for transmission to management device 130.
In the above scheme, through the fact that each display unit of the first indication column is used for respectively presenting the corresponding price indication data and determining the position information of a plurality of display units for presenting the transaction price of the current sampling period, the transaction quantity of the first attribute and the transaction quantity of the second attribute in real time, the presentation information of the display units of the indication column can be quickly adjusted along with the current transaction price data and the market change in real time. In addition, when the mouse cursor is positioned in the area of the indication column, the first indication column keeps the price indication data presented in the sampling period where the cursor stop starting moment is positioned, namely the price indication data presented in the first indication column is locked, so that the problem that the price to be placed is not easy to select by a user due to the rapid-jump market change data is avoided. Furthermore, the method and the system automatically generate and send orders through the target price and the target transaction attribute determined based on the abscissa and the ordinate of the clicking operation, so that the convenience and the intellectualization of ordering can be remarkably improved. Therefore, the method and the system can conveniently show real-time rapid changes of the quotations of the target objects, and ensure that a transactor automatically generates orders based on accurately selected prices without complicated manual operation.
In some embodiments, the method 200 further comprises: if the computing device 110 determines that the centering mode is not set, determining a position of a first display unit for presenting the current transaction price in real time based on the current transaction price data and price indication data corresponding to the display unit, so as to render the price indication data corresponding to the first display unit; and determining position information of a first display unit group for presenting a plurality of transaction amounts of the first attribute in a second indication column based on the transaction attribute and the transaction price associated with the transaction identification data, price indication data corresponding to the display units; and determining a position of a second set of display elements for presenting a plurality of transaction amounts of the second attribute in a third indication column.
In some embodiments, the method 200 further comprises: if the computing device 110 determines that any of the following is satisfied, causing the display unit at the location in the first indication column to present the current transaction price data: the current transaction price is smaller than price indication data corresponding to the display unit at the lowest position of the first indication column; the current transaction price is larger than price indication data corresponding to the display unit at the highest position of the first indication column; and determining that the centering mode is set. A method 400 for determining a target price and a target transaction attribute, respectively, according to an embodiment of the present disclosure, will be described below in conjunction with fig. 3 and 4. Fig. 4 illustrates a flow chart of a method 400 for determining a target price and a target transaction attribute, respectively, according to an embodiment of the present disclosure. It should be appreciated that the method 400 may be performed, for example, at the electronic device 800 depicted in fig. 8. May also be performed at the computing device 110 depicted in fig. 1. It should be appreciated that method 400 may also include additional actions not shown and/or may omit actions shown, the scope of the present disclosure being not limited in this respect.
At step 402, if the computing device 110 determines that the abscissa at the click operation is between the first and second abscissa information of the second indication column, the target transaction attribute of the order is determined to be sell. For example, the click operation is at the location indicated by the marker 326. The computing device 110 determines that the abscissa at the click operation is between the first abscissa information (i.e., the abscissa of the leftmost edge of the second indicator column) and the second abscissa information (i.e., the abscissa of the rightmost edge of the second indicator column) of the second indicator column 320, then determines the target transaction attribute as sell.
At step 404, if the computing device 110 determines that the abscissa at the click operation is between the third and fourth abscissa information of the third indication column, the target transaction attribute of the order is determined to be a buy. For example, where the click operation is indicated by the marker 336, the computing device 110 determines that the abscissa at the click operation is between the third abscissa information of the third indication column 330 (i.e., the abscissa of the leftmost edge of the third indication column 330) and the fourth abscissa information (i.e., the abscissa of the rightmost edge of the third indication column 330), then determines the target transaction attribute as buy.
At step 406, the computing device 110 determines price indication data corresponding to display units having the same ordinate at the click operation to determine a target transaction price for the order based on the price indication data corresponding to display units having the same ordinate.
A method 500 for adjusting indication column presentation information according to an embodiment of the present disclosure will be described below in connection with fig. 5. Fig. 5 illustrates a flowchart of a method 500 for adjusting indication column presentation information according to an embodiment of the present disclosure. It should be appreciated that the method 500 may be performed, for example, at the electronic device 800 depicted in fig. 8. May also be performed at the computing device 110 depicted in fig. 1. It should be understood that method 500 may also include additional acts not shown and/or may omit acts shown, the scope of the present disclosure being not limited in this respect.
At step 502, the computing device 110 obtains mouse wheel event data.
With respect to mouse wheel events, it is for example, but not limited to, a mousewheel event or a DOMMouseScroll event.
At step 504, the computing device 110 determines a scroll direction and scroll magnitude for a scroll operation of the mouse wheel based on the acquired attribute information about the event object in the mouse wheel event data.
For example, attribute information (e.g., event. Wheeldelta) about an event object exists in a mousewheel event. The returned value for event. WeelDelta is a signed value. If the computing device 110 determines that the return value of the attribute information about the event object is negative, it is determined that the wheel of the mouse is scrolling down. If the computing device 110 determines that the return value of the attribute information about the event object is a positive value, it is determined that the wheel of the mouse is scrolling up. The computing device 110 determines the scroll magnitude, amplitude (i), based on the absolute value of the return value. The following describes a method of determining the scroll magnitude in conjunction with the formula (1).
In the above formula (1), amplitude (i) represents the scroll magnitude of the ith scroll wheel event. The i Rvalue (i) represents an absolute value of a return value of attribute information about an event object of the ith scroll event. K represents a coefficient.
At step 506, the computing device 110 determines price adjustment data based on the scroll magnitude.
Adjustmen(i)＝P*Amplitude(i) (2)
In the above formula (2), adjustment (i) represents price adjustment data of the ith roller event. P represents a coefficient indicating a correspondence between the scroll magnitude and the price adjustment data.
At step 508, the computing device 110 determines whether the scroll operation for the mouse wheel is an upward scroll.
At step 510, if the computing device 110 determines that the scroll operation for the mouse wheel is an upward scroll, the price indication data corresponding to each display element of the first indication column is increased by the determined price adjustment data.
At step 512, if the computing device 110 determines that the scroll operation for the mouse wheel is not an up scroll, it is determined whether the scroll operation for the mouse wheel is a down scroll.
At step 514, if the computing device 110 determines that the scroll operation for the mouse wheel is a scroll down, the price indication data corresponding to each display element of the first indication column is reduced by the determined price adjustment data. For example, if the computing device 110 determines that the scroll direction for the scroll operation of the mouse wheel is scroll up and the adjustment data corresponding to the scroll magnitude is, for example, 3. Each display element of the first indication column is subtracted by 3.
At step 516, computing device 110 displays price indication data after the price adjustment data is increased or decreased via the first indication column.
At step 518, the computing device 110 updates location information for a first set of display elements for presenting the plurality of transaction quantities for the first attribute and a location for a second set of display elements for presenting the plurality of transaction quantities for the second attribute based on the price indication data after the adjustment data.
By adopting the means, the transaction data which is not presented can be displayed after the mouse is scrolled, so that the present disclosure can display more transaction price data and all prices which can be ordered in a contract.
A method 600 for indicating a change in transaction price data according to an embodiment of the present disclosure will be described below in conjunction with fig. 3 and 6. Fig. 6 illustrates a flow chart of a method 600 for indicating a change in transaction price data according to an embodiment of the present disclosure. It should be appreciated that the method 600 may be performed, for example, at the electronic device 800 depicted in fig. 8. May also be performed at the computing device 110 depicted in fig. 1. It should be appreciated that method 600 may also include additional actions not shown and/or may omit shown actions, the scope of the present disclosure being not limited in this respect.
At step 602, computing device 110 determines whether the cursor dwell position is within the display region of the indication column.
At step 604, if the computing device 110 determines that the cursor dwell position is within the display region of the indication column, the position of the first identification frame is determined based on the transaction price data for the current sample period and the held price indication data. For example, as shown in fig. 3, the computing device 110 determines the location of the first identification block 314 based on the transaction price data for the current sampling period. If the transaction price data for the current sampling period is 5117, the location of the first identification block 314 is as shown in FIG. 3.
At step 606, the computing device 110 moves the first identification frame on the first indication column based on the determined location of the identification frame such that movement of the identification frame indicates a change in the transaction price data. For example, if the transaction price data of the current sampling period is 5118, the position of the first identification frame 314 is moved up to the position corresponding to the price indication data 5118. Through the means, when the price indication data presented by the first indication column is locked, the change of the transaction price data is still indicated through the movement of the indication frame, so that the trader can be ensured to automatically generate an order based on the accurately selected price, and the real-time change of the quotation can be conveniently and rapidly displayed.
A method 700 for fulfilling orders according to an embodiment of the present disclosure will be described below in connection with fig. 3 and 7. Fig. 7 illustrates a flow chart of a method 700 for withdrawing orders in accordance with an embodiment of the present disclosure. It should be appreciated that the method 700 may be performed, for example, at the electronic device 800 depicted in fig. 8. May also be performed at the computing device 110 depicted in fig. 1. It should be appreciated that method 700 may also include additional actions not shown and/or may omit shown actions, the scope of the present disclosure being not limited in this respect.
At step 702, if the computing device 110 determines that the abscissa at the click operation is between the fifth and sixth abscissa information of the fourth indication column 340, the target transaction attribute of the order is determined to be a revocation. For example, where the click operation is indicated by the marker 342, the computing device 110 determines that the abscissa at the click operation is between the fifth abscissa information of the fourth indication column 340 (i.e., the abscissa of the leftmost edge of the fourth indication column 340) and the sixth abscissa information (i.e., the abscissa of the rightmost edge of the fourth indication column 340), then determines the target transaction attribute as a revocation.
At step 704, the computing device 110 obtains the transaction number associated with the display unit at which the clicking operation is located and price indication data corresponding to the display unit corresponding to the first indication column. For example, the computing device 110 determines that the number of transactions associated with the click operation 342 is say 200 and the corresponding price indication data is 5109.
At step 706, the computing device 110 generates a target delegated order for canceling the target object, the target delegated order targeting the acquired price indication data as a target transaction price and indicating the acquired transaction quantity. For example, the computing device 110 withdraws 200 delegated orders that were delegated the price at 5109.
By adopting the means, the method and the device can conveniently cancel the delegated order.
Fig. 8 schematically illustrates a block diagram of an electronic device (or computing device) 800 suitable for use in implementing embodiments of the present disclosure. The device 800 may be a device for implementing the methods 200, 400 to 700 shown in fig. 2, 4 to 7. As shown in fig. 5, the device 800 includes a Central Processing Unit (CPU) 801 that can perform various suitable actions and processes in accordance with computer program instructions stored in a Read Only Memory (ROM) 802 or loaded from a storage unit 808 into a Random Access Memory (RAM) 803. In RAM, various programs and data required for the operation of the device 800 may also be stored. The CPU, ROM, and RAM are connected to each other by a bus 804. An input/output (I/O) interface 805 is also connected to the bus 804.
Various components in device 800 are connected to input/output (I/O) 805, including: an input unit 806, an output unit 807, a storage unit 808, the central processing unit 801 performs the various methods and processes described above, e.g., performs the methods 200, 400-700, e.g., in some embodiments, the methods 200, 400-700 may be implemented as computer software programs stored on a machine readable medium, e.g., the storage unit 808. In some embodiments, part or all of the computer program may be loaded and/or installed onto device 800 via ROM and/or communication unit 809. One or more of the operations of the methods 200, 400-700 described above may be performed when the computer program is loaded into RAM and executed by a CPU. Alternatively, in other embodiments, the CPU may be configured to perform one or more actions of the methods 200, 400-700 by any other suitable means (e.g., by means of firmware).
It is further noted that the present disclosure may be methods, apparatus, systems, and/or computer program products. The computer program product may include a computer readable storage medium having computer readable program instructions embodied thereon for performing aspects of the present disclosure.
The computer readable storage medium may be a tangible device that can hold and store instructions for use by an instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: portable computer disks, hard disks, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static Random Access Memory (SRAM), portable compact disk read-only memory (CD-ROM), digital Versatile Disks (DVD), memory sticks, floppy disks, mechanical coding devices, punch cards or in-groove structures such as punch cards or grooves having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media, as used herein, are not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (e.g., optical pulses through fiber optic cables), or electrical signals transmitted through wires.
The computer readable program instructions described herein may be downloaded from a computer readable storage medium to a respective computing/processing device or to an external computer or external storage device over a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmissions, wireless transmissions, routers, firewalls, switches, gateway computers and/or edge servers. The network interface card or network interface in each computing/processing device receives computer readable program instructions from the network and forwards the computer readable program instructions for storage in a computer readable storage medium in the respective computing/processing device.
Computer program instructions for performing the operations of the present disclosure can be assembly instructions, instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, c++ or the like and conventional procedural programming languages, such as the C language or similar programming languages. The computer readable program instructions may be executed entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, aspects of the present disclosure are implemented by personalizing electronic circuitry, such as programmable logic circuitry, field Programmable Gate Arrays (FPGAs), or Programmable Logic Arrays (PLAs), with state information of computer readable program instructions, which can execute the computer readable program instructions.
Various aspects of the present disclosure are described herein with reference to flowchart illustrations and/or step diagrams of methods, apparatus (systems), and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or step diagrams, and combinations of blocks in the flowchart illustrations and/or step diagrams, can be implemented by computer readable program instructions.
These computer readable program instructions may be provided to a processor in a voice interaction device, a processing unit of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processing unit of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or step diagram step or steps. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium having the instructions stored therein includes an article of manufacture including instructions which implement the function/act specified in the flowchart and/or step diagram step or steps.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or step diagram block or blocks.
The flowcharts and step diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of devices, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block of the flowchart or step diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s).
The foregoing description of the embodiments of the present disclosure has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the various embodiments described. The terminology used herein was chosen in order to best explain the principles of the embodiments, the practical application, or the technical improvements in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
The foregoing is merely an alternative embodiment of the present disclosure, and is not intended to limit the present disclosure, and various modifications and variations may be made to the present disclosure by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc. that fall within the spirit and principles of the present disclosure are intended to be included within the scope of the present disclosure.
Claims (10)
1. A method for generating an order for a target object, comprising:
at a computing device, obtaining transaction price data for a target object of a current sampling period, the transaction price data indicating at least transaction price data, unit change price data, transaction identification data, and transaction price and transaction quantity associated with the transaction identification data for the current sampling period, the transaction identification data indicating at least transaction attributes including a first attribute and a second attribute;
determining display window size data for a computing device;
determining the number and position information of display units included in a plurality of indication columns based on a preset size set value, unit change price data and display window size data, wherein each display unit of a first indication column in the plurality of indication columns is used for respectively presenting corresponding price indication data;
Determining position information of a plurality of display units for respectively presenting the transaction price, the transaction quantity of the first attribute and the transaction quantity of the second attribute of the current sampling period in real time based on at least transaction price data of the current sampling period, price indication data corresponding to each display unit and transaction identification data;
responsive to determining that the cursor dwell position is located within the display region of the indication column, causing each display element of the first indication column to hold price indication data presented in a sampling period at which the cursor dwell start time is located;
in response to detecting a click operation for the display area of the second indication column or the third indication column, determining a target price and a target transaction attribute, respectively, based on an abscissa and an ordinate at the click operation; and
generating an order for the target object based on the determined target price and the target transaction attribute, so as to send the generated order to the control device;
wherein determining the target price and the target transaction attribute based on the abscissa and the ordinate at the click operation, respectively, comprises: price indication data corresponding to display units having the same ordinate at the click operation is determined so as to determine a target transaction price for the order based on the price indication data corresponding to display units having the same ordinate.
2. The method of claim 1, further comprising:
responsive to determining that the cursor dwell position is within the display region of the indication column, determining a position of the first identification frame based on the transaction price data for the current sampling period and the held price indication data; and
based on the determined location of the first identification frame, the first identification frame is moved on a first indication column such that movement of the first identification frame indicates a change in transaction price data.
3. The method of claim 1, wherein determining the target price and the target transaction attribute based on the abscissa and the ordinate, respectively, at the click operation comprises:
determining a target transaction attribute of the order as being sold in response to determining that the abscissa at the click operation is between the first and second abscissa information of the second indication column;
in response to determining that the abscissa at the click operation is between the third and fourth abscissa information of the third indication column, the target transaction attribute of the order is determined to be a buy.
4. The method of claim 3, wherein determining the target price and the target transaction attribute based on the abscissa and the ordinate, respectively, at the click operation further comprises:
Determining that the target transaction attribute of the order is a revocation in response to determining that the abscissa at the click operation is between the fifth abscissa information and the sixth abscissa information of the fourth indication column;
acquiring transaction quantity associated with a display unit where a clicking operation position is located and price indication data corresponding to the display unit corresponding to a first indication column; and
a target delegated order is generated for revoking a target object, the target delegated order targeting the acquired price indication data as a target trade price and indicating the acquired number of trades.
5. The method of claim 1, further comprising:
acquiring event data of a mouse roller;
determining a rolling direction and a rolling amplitude for a rolling operation of the mouse wheel based on the acquired attribute information about the event object in the mouse wheel event data;
determining price adjustment data based on the scroll magnitude;
in response to determining that the scrolling operation for the mouse wheel is scrolling upward, increasing price indication data corresponding to each display unit of the first indication column by the determined price adjustment data;
in response to determining that the scrolling operation for the mouse wheel is scrolling downward, reducing price indication data corresponding to each display unit of the first indication column by the determined price adjustment data;
Displaying price indication data after the price adjustment data is increased or decreased via the first indication column; and
based on the price indication data after the adjustment data, the position information of the first display unit group for presenting the plurality of transaction amounts of the first attribute and the position of the second display unit group for presenting the plurality of transaction amounts of the second attribute are updated.
6. The method of claim 1, wherein determining location information for a plurality of display units for respectively presenting in real-time a transaction price for the current sampling period, a transaction quantity for a first attribute, a transaction quantity for a second attribute comprises:
determining the position of a first display unit for presenting the transaction price of the current sampling period in real time based on the transaction price data of the current sampling period and the price indication data corresponding to the display unit in response to determining that the centering mode is not set, so as to render the price indication data corresponding to the first display unit; and
determining position information of a first display unit group for presenting a plurality of transaction amounts of the first attribute in a second indication column based on the transaction attribute and the transaction price associated with the transaction identification data and price indication data corresponding to the display units; and
The position of the second set of display elements for presenting the plurality of transaction amounts of the second attribute is determined in a third indication column.
7. The method of claim 1, wherein determining location information for a plurality of display units for respectively presenting in real-time a transaction price for the current sampling period, a transaction quantity for a first attribute, a transaction quantity for a second attribute further comprises:
in response to determining that the centering mode is set, determining a display unit at a center position of the first indication column as a position of the first display unit for presenting the transaction price of the current sampling period in real time so as to render price indication data corresponding to the first display unit; and
and updating the price indication data corresponding to other display units of the first indication column based on the price indication data corresponding to the first display unit and the unit change price data.
8. The method of claim 1, further comprising:
causing the display unit at the first indication column centered position to present the transaction price data for the current sampling period in response to determining that any of the following is satisfied:
the transaction price of the current sampling period is smaller than price indication data corresponding to the display unit at the lowest position of the first indication column;
The transaction price of the current sampling period is larger than price indication data corresponding to the display unit at the highest position of the first indication column; and
the centering mode is determined to be set.
9. A computing device, comprising:
at least one processing unit;
at least one memory coupled to the at least one processing unit and storing instructions for execution by the at least one processing unit, the instructions when executed by the at least one processing unit cause the computing device to perform the method of any one of claims 1 to 8.
10. A computer readable storage medium having stored thereon a computer program which, when executed by a machine, implements the method of any of claims 1 to 8.
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