CN114820193A

CN114820193A - Chip change curve generation method, device, equipment and storage medium

Info

Publication number: CN114820193A
Application number: CN202210554512.7A
Authority: CN
Inventors: 马飞奔; 王长胜
Original assignee: Guangdong Bozhong Intelligent Technology Investment Co ltd
Current assignee: Guangdong Bozhong Intelligent Technology Investment Co ltd
Priority date: 2022-05-19
Filing date: 2022-05-19
Publication date: 2022-07-29

Abstract

The invention discloses a chip change curve generation method, a device, equipment and a storage medium, wherein the method comprises the following steps: obtaining the current chip change data and the historical chip change data of the stock to be changed; when the chip change data of the current day meets the preset statistical conditions according to the historical chip change data, generating a starting value and acquiring a starting counting value; when the starting value meets the starting condition, judging whether the starting count value meets the change condition, if so, determining a change point, and generating a chip change curve according to the change point and the chip change data of the current day; otherwise, determining a calculation updating condition according to the starting counting value, and updating the starting counting value when the chip changing data of the current day and the historical chip changing data meet the counting updating condition. The problem that the chip change points cannot be determined is solved, the information of the change points is accurately determined, the chip change curve is generated according to the change points, the change points are displayed, and the check is facilitated.

Description

Chip change curve generation method, device, equipment and storage medium

Technical Field

The present invention relates to the field of data processing technologies, and in particular, to a method, an apparatus, a device, and a storage medium for generating a chip modification curve.

Background

With the improvement of living standard, stocks become a financing choice for more and more people. The stock reflects the situation and price information of the events through the K-line graph. Chips are the proportion of the cost held by the Oujos in the stock market changes, and the number of chips also represents how much the investor holds the stock. Therefore, it is very important to change the chips. How to select the appropriate time to change the chips becomes a problem to be solved.

Disclosure of Invention

The invention provides a chip change curve generation method, a chip change curve generation device and a chip change curve generation storage medium, which are used for solving the problem that chips cannot be accurately changed.

According to an aspect of the present invention, there is provided a chip alteration curve generating method including:

obtaining the current chip change data and the historical chip change data of the stock to be changed;

when the chip change data of the current day meets the preset statistical conditions according to the historical chip change data, generating a starting value and acquiring a starting counting value;

when the starting value meets the starting condition, judging whether the starting counting value meets the change condition, if so, determining a change point, and generating a chip change curve according to the change point and the chip change data of the current day;

otherwise, determining a calculation updating condition according to the starting counting value, and updating the starting counting value when the chip changing data of the current day and the historical chip changing data meet the counting updating condition.

According to another aspect of the present invention, there is provided a chip alteration curve generating apparatus including:

the data acquisition module is used for acquiring the current-day chip change data and the historical chip change data of the stock to be changed;

a counting value obtaining module, configured to generate a starting value and obtain a starting counting value when it is determined that the chip change data of the current day meets a preset statistical condition according to the historical chip change data;

the change judging module is used for judging whether the starting count value meets a change condition or not when the starting value meets the starting condition, if so, determining a change point and generating a chip change curve according to the change point and the chip change data of the current day; otherwise, determining a calculation updating condition according to the starting counting value, and updating the starting counting value when the chip changing data of the current day and the historical chip changing data meet the counting updating condition.

According to another aspect of the present invention, there is provided an electronic apparatus including:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,

the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform the chip modification curve generation method according to any one of the embodiments of the present invention.

According to another aspect of the present invention, there is provided a computer-readable storage medium storing computer instructions for causing a processor to implement the chip modification curve generation method according to any one of the embodiments of the present invention when the computer instructions are executed.

The technical scheme of the embodiment of the invention obtains the current-day chip change data and the historical chip change data of the stock to be changed; when the chip change data of the current day meets the preset statistical conditions according to the historical chip change data, generating a starting value and acquiring a starting counting value; when the starting value meets the starting condition, judging whether the starting count value meets the change condition, if so, determining a change point, and generating a chip change curve according to the change point and the chip change data of the current day; otherwise, determining a calculation updating condition according to the starting counting value, and updating the starting counting value when the chip changing data of the current day and the historical chip changing data meet the counting updating condition. The problem that chip change points cannot be determined is solved, and when chip change data of the current day and historical chip change data are analyzed and preset statistical conditions are determined to be met, starting values are generated and starting counting values are obtained. And starting change point analysis when the starting value meets the starting condition. When the starting count value meets the change condition, determining a change point, and realizing accurate analysis of chip change; and generating a chip change curve according to the change points and the chip change data of the current day, displaying the change points and facilitating checking. And when the starting count value does not meet the change condition, determining a count update condition, wherein different starting count values correspond to different count update conditions, judging whether the chip change data of the current day and the historical chip change data meet the count update condition, updating the starting count value until the starting count value meets the change condition, and realizing the determination of the change point. By setting different conditions and combining the chip change data of the current day and the historical chip change data to determine the change points, the information of the change points is accurately determined, and the accuracy rate of determining the change points is improved.

It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present invention, nor do they necessarily limit the scope of the invention. Other features of the present invention will become apparent from the following description.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

Fig. 1 is a flowchart of a chip alteration curve generation method according to an embodiment of the present invention;

fig. 2 is a flowchart of a chip alteration curve generation method according to a second embodiment of the present invention;

fig. 3 is a diagram of an implementation example of determining a first change point according to a second embodiment of the present invention;

fig. 4 is a diagram of an implementation example of determining a second change point according to a second embodiment of the present invention;

fig. 5 is a schematic structural diagram of a chip alteration curve generating device according to a third embodiment of the present invention;

fig. 6 is a schematic structural diagram of an electronic device implementing the chip alteration curve generation method according to the embodiment of the present invention.

Detailed Description

In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

Example one

Fig. 1 is a flowchart of a chip alteration curve generation method according to an embodiment of the present invention, which is applicable to a case where a chip alteration is analyzed, and the method may be executed by a chip alteration curve generation device, which may be implemented in a form of hardware and/or software, and the chip alteration curve generation device may be configured therein. As shown in fig. 1, the method includes:

s101, obtaining current chip change data and historical chip change data of stocks to be changed.

In this embodiment, the stock to be changed may be specifically understood as a stock having a change analysis requirement. The daily chip change data may be specifically understood as data related to the change of the daily chip, such as a closing price, an opening price, a minimum price, and a maximum price. The historical chip change data can be specifically understood as related data related to the chip change before the current day, and the historical chip change data and the current chip change data have the same data type and only have different dates.

Specifically, the stock to be changed can be selected by the user, and the stock needing attention is selected as the stock to be changed. If the number of the stocks to be changed is multiple, each stock to be changed generates a chip change curve in the same way. Recording daily chip change data for each stock and storing the daily chip change data; or, only daily chip change data of the stock to be changed is recorded and stored. And after determining the stocks to be changed, acquiring the current-day chip change data and the historical chip change data of the stocks to be changed from the corresponding storage spaces. The chip change data of the current day and the historical chip change data can be stored in the server side, the chip change curve generation method provided by the application can be executed at the client side, the client side creates a Socket and is connected with the server side, and the chip change data of the current day and the historical chip change data are obtained from the server side through an instruction.

S102, when the fact that the chip change data of the current day meet the preset statistical conditions is determined according to the historical chip change data, generating a starting value and acquiring a starting counting value.

In this embodiment, the preset statistical condition may be specifically understood as a preset condition, and is used to determine whether generation of a chip change curve may be started. The start value is specifically understood to be a value, e.g., 1, 2, etc., used to measure whether the chip alteration data meets the requirements. The start count value is understood to mean in particular a value for counting.

Specifically, different preset statistical conditions are set, the types of change points corresponding to the different preset statistical conditions are different, and the different change points correspond to different changes of the stock ownership rights, for example, the stock ownership rights are changed to yield the ownership rights or own the ownership rights. Comparing the current chip change data with the historical chip change data, for example, judging the closing price of the current chip change data and the closing price in the historical chip change data, determining whether a preset statistical condition is met, and if so, generating a starting value and acquiring a starting counting value. The generating of the starting value may be initially assigning the starting value, for example, when a preset statistical condition is satisfied, the starting value is set to 1, that is, the generated starting value is 1. The start count value sets an initial value, which may be set to 0, and the start count value acquired after the start value is generated is the initial value.

S103, when the starting value meets the starting condition, judging whether the starting count value meets the change condition, if so, executing S104; otherwise, S105 is performed.

In this embodiment, the activation condition may be that the activation value is greater than a certain threshold, or that the activation value is within a certain threshold range, or the like. The change condition may be specifically understood as a condition for determining whether or not a change point exists, and for example, the start count value is greater than 3.

Specifically, whether the starting value meets the starting condition or not is judged, when the starting value meets the starting condition, whether the starting count value meets the change condition or not is judged, and if the starting count value meets the change condition, S104 is executed; if the change condition is not satisfied, S105 is executed. And when the starting value does not meet the starting condition, no change point exists at the moment, and the starting value is waited to meet the starting condition.

S104, determining the change points, and generating a chip change curve according to the change points and the chip change data of the current day.

In this embodiment, the change point may indicate that the chip ownership can be changed at this time. When the start count value meets the change condition, determining that a change point exists on the current day, namely determining the date of the change point, determining the closing price, the lowest price, the highest price and the like corresponding to the change point according to the chip change data on the current day, and generating a chip change curve.

And S105, determining a counting updating condition according to the starting counting value, and updating the starting counting value when the chip changing data of the current day and the historical chip changing data meet the counting updating condition.

In this embodiment, the count update condition may be specifically understood as a condition for determining whether the start count value needs to be updated, where the count update condition is related to the size of the start count value, and the count update conditions corresponding to different start count values may be different.

Specifically, different count update conditions are preset, and after the start count value is determined, the count update condition associated with the start count value is determined. After the counting updating condition is met, whether the chip change data of the current day and the historical chip change data meet the counting updating condition is judged, if yes, the starting counting value is updated, and the updating can be operations of adding 1, adding 2 and the like to the starting counting value. And for the updated starting counting value, new chip change data of the current day can be continuously obtained in the next day, the starting value still meets the starting condition because the starting value is unchanged, the operation of judging whether the starting counting value meets the change condition is repeatedly executed until the starting counting value meets the change condition, and the change point is determined. When the counting updating condition is not met, the starting counting value is kept unchanged, new chip changing data of the current day can be continuously obtained in the next day, the starting value still meets the starting condition because the starting value is unchanged, the operation of judging whether the starting counting value meets the changing condition is repeatedly executed, the starting counting value does not meet the changing condition because the starting counting value is unchanged, the counting updating condition is continuously determined, and whether the new chip changing data of the current day and the historical chip changing data meet the counting updating condition is judged.

The embodiment of the invention provides a chip change curve generation method, which solves the problem that chip change points cannot be determined, and generates a starting value and acquires a starting count value when the chip change data of the current day and the historical chip change data are analyzed to determine that preset statistical conditions are met. And starting change point analysis when the starting value meets the starting condition. When the starting count value meets the change condition, determining a change point, and realizing accurate analysis of chip change; and generating a chip change curve according to the change points and the chip change data of the current day, displaying the change points and facilitating checking. And when the starting count value does not meet the change condition, determining a count update condition, wherein different starting count values correspond to different count update conditions, judging whether the chip change data of the current day and the historical chip change data meet the count update condition, updating the starting count value until the starting count value meets the change condition, and realizing the determination of the change point. By setting different conditions and combining the chip change data of the current day and the historical chip change data to determine the change points, the information of the change points is accurately determined, and the accuracy rate of determining the change points is improved.

Example two

Fig. 2 is a flowchart of a chip alteration curve generation method according to a second embodiment of the present invention, which is further detailed in the foregoing embodiment. As shown in fig. 2, the method includes:

s201, obtaining the current-day chip change data and the historical chip change data of the stock to be changed.

Optionally, the preset statistical condition is a first statistical condition or a second statistical condition.

The first statistical condition and the second statistical condition correspond to different types of change points, and S202-S203 and S204-S205 are parallel schemes, and one branch is selected to be executed in practical application.

S202, if the difference value between the current closing price in the current day chip changing data and the last closing price in the last day chip changing data is smaller than a first difference threshold value, the first counting value is added.

In this embodiment, the closing price on the day can be specifically understood as the closing price of the stock to be changed on the day. The last day chip change data may be specifically understood as the last day chip change data. The historical chip change data comprises the last chip change data; the last closing price can be specifically understood as the closing price of the stock to be changed on the previous day. The first difference threshold may be set according to requirements, for example, 0, 1, 2, etc. The first counter value is understood in particular as a numerical value for counting.

Specifically, the current-day collection price is determined based on the current-day chip change data, the last-day chip change data is acquired from the history chip change data, and the last collection price is determined based on the last-day chip change data. And calculating the difference value between the current closing price and the last closing price, and if the difference value is smaller than a first difference threshold value, adding the first counting value. The increments may be plus 1, plus 2, etc. And if the difference value between the current closing price and the last closing price is not less than the first difference threshold value, clearing the first count value.

And S203, when the first counting value meets the first counting condition, determining that the chip change data of the current day meets the first counting condition.

In the present embodiment, the first count condition may be that the first count value is greater than n1, and n1 may be 1, 2, 3 …, or the like. And when the first counting value meets the first counting condition, the difference value between the current collection price and the last collection price is continuously smaller than the first difference threshold value for n1 times, and the chip change data of the current day is determined to meet the first counting condition. And when the first counting value does not meet the first counting condition, waiting for chip change data of the next day, and continuously judging whether the difference value between the current collection price and the previous collection price is smaller than a first difference threshold value.

For example, the case where the first difference threshold is 0 and the first counting condition is 3 is taken as an example, and the first counting condition is satisfied will be described. And if the current closing price is less than the last closing price, adding 1 to the first counting value, and if the first counting value is more than 3, meeting a first statistical condition when the daily chip change data meets the first statistical condition, namely, meeting the first statistical condition when the current closing price is less than the last closing price for 4 consecutive days.

And S204, if the difference value between the current closing price in the current day chip change data and the last closing price in the last day chip change data is larger than a second difference threshold value, increasing the second counting value.

In the present embodiment, the second difference threshold may be set according to requirements, for example, 0, 1, 2, and the like. The second difference threshold may be the same size as the first difference threshold, or may be different. The second counter value is understood in particular to mean the value used for counting.

Specifically, the difference between the closing price on the current day and the last closing price is calculated, and if the difference is larger than a second difference threshold, the second counting value is incremented. The increments may be plus 1, plus 2, etc. And if the difference value between the current closing price and the last closing price is not larger than a second difference threshold value, clearing the second count value.

And S205, when the second counting value meets the second counting condition, determining that the chip change data of the current day meets the second statistical condition.

In the present embodiment, the second count condition may be that the second count value is greater than n2, and n2 may be 1, 2, 3 …, or the like. And when the second counting value meets a second counting condition, determining that the chip change data of the current day meets a second statistical condition when the difference value between the current day closing price and the last closing price is greater than a second difference threshold value for n2 times continuously. And when the second counting value does not meet the second counting condition, waiting for chip change data of the next day, and continuously judging whether the difference value between the current collection price and the previous collection price is larger than a second difference threshold value.

Illustratively, taking the first difference threshold as 0 and the first counting condition as 3 as an example, if the daily closing price is greater than the last closing price, the second counting value is incremented by 1, and when the second counting value is greater than 3, the daily chip change data satisfies the second statistical condition, that is, when the daily closing price is greater than the last closing price for 4 consecutive days, the second statistical condition is satisfied.

And S206, generating a starting value and acquiring a starting count value.

S207, when the starting value meets the starting condition, judging whether the starting count value meets the change condition, if so, executing S208; otherwise, S215 is performed.

And S208, determining that the preset statistical condition is a first statistical condition or a second statistical condition, executing S209 when the preset statistical condition is the first statistical condition, and executing S212 when the preset statistical condition is the second statistical condition.

And judging whether the preset statistical condition is the first statistical condition or the second statistical condition, executing S209 when the preset statistical condition is the first statistical condition, and executing S212 when the preset statistical condition is the second statistical condition.

And when the preset statistical condition is the first statistical condition, the change point is the first change point.

S209 determines the time of day as the abscissa of the first change point.

In this embodiment, the first change point may be specifically understood as a change point for obtaining the ownership of the chip of the stock to be changed. Correspondingly, when the first counting value is added, the closing price on the current day needs to be smaller than the last closing price, and the first difference value threshold value can be set according to the requirement, so that the closing price on the current day is smaller than the last closing price. The time of day is taken as the abscissa of the first change point, and the appearance time of the first change point is determined.

S210, determining the lowest price according to the chip change data of the current day, and determining the lowest price as the ordinate of the first change point.

The chip change data of the current day is analyzed to determine the lowest price, and the lowest price is used as the ordinate of the first change point.

And S211, generating a chip change curve according to the abscissa and the ordinate of the first change point.

The generation of the chip change curve according to the abscissa and the ordinate of the first change point may be performed by marking the first change point on the basis of the K line to form the chip change curve, that is, drawing the first change point on the K line graph. For example, after the change points are determined for the first time, the first change points are drawn according to the coordinates of the change points, when the number of the change points is greater than or equal to two, the chip change curve can be generated in a connecting mode, and then when the change points are determined again, the change points are marked on the chip change curve on the previous day so that all the change points can be represented by the same chip change curve, and the data can be conveniently summarized and checked.

Illustratively, the application provides a drawing method of the first change point. A Bitmap object is constructed by using a decoderresource () function of a Bitmap factory class in an Android SDK, and in an Android system, a Bitmap represents a Bitmap and is one of the most important transfer classes in image processing. After the first change point is determined, a bitmap mark of the first change point is drawn above the main graph K line and indicates the first change point. After the coordinates of the lowest price of the K line corresponding to the transaction date in the K line icon are obtained, the coordinates are used as the vertical coordinates of the first change point, the left, upper, right and lower coordinates of the bitmap on the screen are determined through a Rect drawing tool class provided by the Android SDK, and a small icon marked as the first change point is drawn by using a draw bitmap () function of Canvas.

And when the preset statistical condition is a second statistical condition, the change point is a second change point.

S212, the time of day is determined as the abscissa of the second change point.

In this embodiment, the second change point may be specifically understood as a change point that loses the ownership of the chip to be changed. Correspondingly, when the second counting value is added, the closing price on the current day needs to be larger than the last closing price, and the second difference threshold value can be set according to the requirement, so that the closing price on the current day is larger than the last closing price. The time of day is taken as the abscissa of the second change point, and the appearance time of the second change point is determined.

And S213, determining the highest price according to the chip change data of the current day, and determining the highest price as the ordinate of the second change point.

And analyzing the chip change data of the current day to determine the highest price, and taking the highest price as the ordinate of the second change point.

And S214, if the first change point exists before the current time, generating a chip change curve according to the abscissa and the ordinate of the second change point.

If the first change point already exists before the second change point appears, a chip change curve is generated from the coordinates of the second change point. The drawing mode of the second change point is the same as that of the first change point, and is not described herein again.

As an optional embodiment of this embodiment, the optional embodiment further optimizes and includes, after the determined change point, further including: and clearing the starting value and the starting count value.

And after the change point is determined, resetting the starting value and the starting count value, and ending the cycle so as to judge whether the preset statistical condition is met or not according to the new chip change data of the current day and the historical chip change data.

S215, determining whether the preset statistical condition is the first statistical condition or not, if the preset statistical condition is the first statistical condition, executing S216, and if the preset statistical condition is the second statistical condition, executing S219.

And judging whether the preset statistical condition is the first statistical condition or the second statistical condition, executing S216 when the preset statistical condition is the first statistical condition, and executing S219 when the preset statistical condition is the second statistical condition.

S216, judging whether the starting count value is equal to 0, if so, executing S217; otherwise, S218 is performed.

And S217, determining the counting updating condition that the closing price on the current day is more than or equal to the highest price on the last two days and the highest price on the current day is more than the highest price on the last day.

In this embodiment, the highest price of the last two days can be specifically understood as the highest price of two days before the current day; the highest price on the previous day is specifically understood to be the highest price on the day before the current day. For example, the current day is No. 1/17 of 2022, and the highest price in the last two days is the highest price of the stock to be changed of No. 1/15 of 2022; the highest price in the last day is the highest price of the stock to be changed in No. 1/16 of 2022.

The count update condition may be expressed as: close [0] > -high [2] and high [0] > high [1 ]; wherein close [0] is the closing price on the day; high 2 is the highest price in last two days; high 0 is the highest price on the day; high 1 is the highest price of the last day.

And S218, determining the updating conditions of the counting that the current closing price is greater than or equal to the highest price of the last two days, the highest price of the current day is greater than the highest price of the last day, and the closing price of the current day is greater than the first target price.

In this embodiment, the first target price is also a price, and the first target price is related to the closing price and whether the count update condition is satisfied, and is not directly related to the chip change data of the current day. The first target price is predetermined and updated in real time as to whether the count update condition is satisfied and the closing price.

The count update condition may be expressed as: close [0] > high [2] and high [0] > high [1] and close [0] > close [ time1 ]; wherein close [ time1] is the first target price.

S219, judging whether the starting count value is equal to 0, if so, executing S220; otherwise, S221 is executed.

And S220, determining the counting updating condition that the closing price of the current day is less than or equal to the lowest price of the last two days and the lowest price of the current day is less than the lowest price of the last day.

In this embodiment, the lowest price in the last two days can be specifically understood as the lowest price in two days before the current day; the last day minimum price is specifically understood to be the minimum price on the day before the current day. For example, the current day is No. 1/17 of 2022, and the lowest price in the last two days is the lowest price of the stock to be changed of No. 1/15 of 2022; the lowest price in the last day is the lowest price of the stock to be changed in No. 1/16 of 2022.

The count update condition may be expressed as: close [0] < ═ low [2] and low [0] < low [1 ]; wherein low 2 is the lowest price in last two days; low 0 is the lowest price on the day; low [1] is the lowest price in the last day.

And S221, determining the counting updating conditions that the closing price on the current day is less than or equal to the lowest price on the last two days, the lowest price on the current day is less than the lowest price on the last day, and the closing price on the current day is less than the second target price.

In this embodiment, the second target price is also a price, and the second target price is also related to the closing price and whether the count update condition is satisfied, and is not directly related to the chip change data of the current day. The second target price is predetermined and updated in real time as to whether the count update condition is satisfied and the closing price. Whether the updating condition is counted is determined according to the data of three consecutive days, and the result is more accurate.

The count update condition may be expressed as: close [0] < ═ low [2] and low [0] < low [1] and close [0] < close [ time2 ]; wherein close [ time2] is the second target price.

And S222, updating the starting count value when the chip change data of the current day and the historical chip change data meet the count updating condition.

In the embodiment of the application, the chip change data of the current day can only meet the first statistical condition or the second statistical condition, namely, the change point generated if the change condition is met can only be one of the first change point and the second change point. Therefore, after the count update condition is determined, the corresponding type of data is screened from the current day chip change data and the historical chip change data according to the count update condition, whether the data meets the count update condition is judged, and when the condition is met, the start count value is updated.

As an optional embodiment of this embodiment, after determining that the chip change data of the current day and the historical chip change data satisfy the count update condition, the optional embodiment further includes: and updating the first target price or the second target price according to the closing price on the current day.

And if the current chip change data and the historical chip change data meet the counting updating condition, taking the current closing price as a new first target price or a new second target price, and updating the first target price or the second target price. Regarding the updating of the first target price and the second target price, when the preset statistical condition is a first statistical condition, updating the first target price; and when the preset statistical condition is the second statistical condition, updating the second target price.

For example, fig. 3 provides an implementation example diagram for determining the first change point, and fig. 3 takes a preset statistical condition as an example of the first statistical condition.

S301, obtaining the current-day chip change data and historical chip change data of the stock to be changed.

And S302, if the difference value between the current closing price in the current day chip change data and the last closing price in the last day chip change data is smaller than a first difference threshold value, increasing the first counting value.

And S303, when the first counting value meets the first counting condition, determining that the chip change data of the current day meets the first counting condition.

And S304, generating a starting value and acquiring a starting count value.

S305, when the starting value meets the starting condition, judging whether the starting count value meets the change condition, if so, executing S306; otherwise, S309 is executed.

And S306, determining the time of day as the abscissa of the first change point.

S307, determining the lowest price according to the chip change data of the current day, and determining the lowest price as the ordinate of the first change point.

And S308, generating a chip change curve according to the abscissa and the ordinate of the first change point.

S309, judging whether the starting count value is equal to 0, if so, executing S310; otherwise, S311 is performed.

And S310, determining the counting updating condition that the closing price on the current day is more than or equal to the highest price on the last two days and the highest price on the current day is more than the highest price on the last day.

S311, determining the counting updating conditions that the current closing price is larger than or equal to the highest price of the last two days, the highest price of the current day is larger than the highest price of the last day, and the closing price of the current day is larger than the first target price.

And S312, updating the starting counting value when the chip change data of the current day and the historical chip change data meet the counting updating condition.

For example, fig. 4 provides an implementation example diagram for determining the second change point, and fig. 4 takes the preset statistical condition as the second statistical condition as an example.

S401, obtaining the current-day chip change data and historical chip change data of the stock to be changed.

S402, if the difference value between the current closing price in the current day chip changing data and the last closing price in the last day chip changing data is larger than a second difference threshold value, the second counting value is added.

And S403, when the second counting value meets the second counting condition, determining that the chip change data of the current day meets the second statistical condition.

S404, generating a starting value and acquiring a starting count value.

S405, when the starting value meets the starting condition, judging whether the starting count value meets the change condition, if so, executing S406; otherwise, S409 is executed.

And S406, determining the time of day as the abscissa of the second change point.

And S407, determining the highest price according to the chip change data of the current day, and determining the highest price as the ordinate of the second change point.

And S408, if the first change point exists before the time of the day, generating a chip change curve according to the abscissa and the ordinate of the second change point.

S409, judging whether the starting count value is equal to 0, if so, executing S410; otherwise, S411 is executed.

And S410, determining that the counting updating condition is that the closing price of the current day is less than or equal to the lowest price of the last two days and the lowest price of the current day is less than the lowest price of the last day.

S411, determining the counting updating conditions that the closing price on the current day is less than or equal to the lowest price on the last two days, the lowest price on the current day is less than the lowest price on the last day, and the closing price on the current day is less than the second target price.

And S412, when the chip change data of the current day and the historical chip change data meet the counting updating condition, updating the starting counting value.

The embodiment of the invention provides a chip change curve generation method, which solves the problem that chip change points cannot be determined, and generates a starting value and acquires a starting count value when the chip change data of the current day and the historical chip change data are analyzed to determine that preset statistical conditions are met. And starting change point analysis when the starting value meets the starting condition. When the starting count value meets the change condition, determining a change point, and realizing accurate analysis of chip change; and generating a chip change curve according to the change points and the chip change data of the current day, displaying the change points and facilitating checking. When the starting count value does not meet the change condition, determining a count updating condition, wherein different starting count values correspond to different count updating conditions, judging whether the chip change data of the current day and the historical chip change data meet the count updating condition, updating the starting count value until the starting count value meets the change condition, and realizing the determination of the change point. By setting different conditions and combining the chip change data of the current day and the historical chip change data to determine the change points, the information of the change points is accurately determined, and the accuracy rate of determining the change points is improved. The chip change curve is generated according to the first change point and the second change point, and the user can predict the chip change time according to the chip change curve and grasp the chip signal of the stock price starting.

EXAMPLE III

Fig. 5 is a schematic structural diagram of a chip change curve generating device according to a third embodiment of the present invention. As shown in fig. 5, the apparatus includes: a data acquisition module 51, a count value acquisition module 52 and a change judgment module 53.

A data obtaining module 51, configured to obtain current chip change data and historical chip change data of a stock to be changed;

a count value obtaining module 52, configured to generate a start value and obtain a start count value when it is determined that the chip change data of the current day meets a preset statistical condition according to the historical chip change data;

a change judging module 53, configured to, when the start value meets the start condition, judge whether the start count value meets a change condition, if yes, determine a change point, and generate a chip change curve according to the change point and the chip change data of the current day; otherwise, determining a calculation updating condition according to the starting counting value, and updating the starting counting value when the chip changing data of the current day and the historical chip changing data meet the counting updating condition.

The embodiment of the invention provides a chip change curve generation device, which solves the problem that chip change points cannot be determined, and generates a starting value and acquires a starting count value when the chip change data of the current day and the historical chip change data are analyzed to determine that preset statistical conditions are met. And starting change point analysis when the starting value meets the starting condition. When the starting count value meets the change condition, determining a change point, and realizing accurate analysis of chip change; and generating a chip change curve according to the change points and the chip change data of the current day, displaying the change points and facilitating checking. And when the starting count value does not meet the change condition, determining a count update condition, wherein different starting count values correspond to different count update conditions, judging whether the chip change data of the current day and the historical chip change data meet the count update condition, updating the starting count value until the starting count value meets the change condition, and realizing the determination of the change point. By setting different conditions and combining the chip change data of the current day and the historical chip change data to determine the change points, the information of the change points is accurately determined, and the accuracy rate of determining the change points is improved.

Optionally, the preset statistical condition is a first statistical condition or a second statistical condition;

the count value obtaining module 52 includes:

a first adding unit configured to add a first count value if a difference between a current-day closing price in the current-day chip change data and a previous closing price in previous-day chip change data is smaller than a first difference threshold;

a first condition judgment unit, configured to determine that the chip change data of the current day satisfies a first statistical condition when the first count value satisfies the first count condition;

a second adding unit configured to add a second count value if a difference between the current-day closing price in the current-day chip change data and the last closing price in the last-day chip change data is greater than a second difference threshold value;

and the second condition judging unit is used for determining that the chip change data of the current day meets a second statistical condition when the second counting value meets a second counting condition.

Optionally, when the preset statistical condition is a first statistical condition, the change point is a first change point;

the change determination module 53 includes:

the first abscissa determining module is used for determining the time of day as the abscissa of the first change point;

the first vertical coordinate determining module is used for determining the lowest price according to the chip change data of the current day and determining the lowest price as the vertical coordinate of a first change point;

and the first curve generation module is used for generating a chip change curve according to the abscissa and the ordinate of the first change point.

Optionally, when the preset statistical condition is a second statistical condition, the change point is a second change point;

the change determination module 53 includes:

the second abscissa determining module is used for determining the time of day as the abscissa of the second change point;

the second vertical coordinate determining module is used for determining the highest price according to the chip change data of the current day and determining the highest price as the vertical coordinate of a second change point;

and the second curve generation module is used for generating a chip change curve according to the abscissa and the ordinate of the second change point if the first change point exists before the current time.

Optionally, the apparatus further comprises:

and the zero clearing module is used for clearing the starting value and the starting count value after the determined change point.

Optionally, when the preset statistical condition is a first statistical condition;

the change determination module 53 includes:

the first condition determining module is used for determining the updating condition of the counting that the closing price of the current day is greater than or equal to the highest price of the last two days and the highest price of the current day is greater than the highest price of the last day when the starting counting value is equal to 0;

and the first condition determining module is used for determining the updating conditions of the counting that the current closing price is greater than or equal to the highest price of the last two days, the highest price of the current day is greater than the highest price of the last day and the closing price of the current day is greater than the first target price when the starting counting value is not equal to 0.

Optionally, when the preset statistical condition is a second statistical condition;

the change determination module 53 includes:

a third condition determining module, configured to determine, when the start count value is equal to 0, that the count update condition is that the closing price of the current day is less than or equal to the lowest price of the last two days and the lowest price of the current day is less than the lowest price of the last day;

and the fourth condition determining module is used for determining the updating condition of the counting that the closing price of the current day is less than or equal to the lowest price of the last two days, the lowest price of the current day is less than the lowest price of the last day and the closing price of the current day is less than the second target price when the starting counting value is not equal to 0.

Optionally, the apparatus further comprises:

and the clearing module is used for updating the first target price or the second target price according to the current collection price after the current chip change data and the historical chip change data meet the counting updating condition.

The chip change curve generation device provided by the embodiment of the invention can execute the chip change curve generation method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.

Example four

FIG. 6 illustrates a schematic diagram of an electronic device 60 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.

As shown in fig. 6, the electronic device 60 includes at least one processor 61, and a memory communicatively connected to the at least one processor 61, such as a Read Only Memory (ROM)62, a Random Access Memory (RAM)63, and the like, wherein the memory stores computer programs executable by the at least one processor, and the processor 61 may perform various suitable actions and processes according to the computer programs stored in the Read Only Memory (ROM)62 or the computer programs loaded from the storage unit 68 into the Random Access Memory (RAM) 63. In the RAM 63, various programs and data necessary for the operation of the electronic apparatus 60 can also be stored. The processor 61, the ROM 62, and the RAM 63 are connected to each other by a bus 64. An input/output (I/O) interface 65 is also connected to bus 64.

A number of components in the electronic device 60 are connected to the I/O interface 65, including: an input unit 66 such as a keyboard, a mouse, or the like; an output unit 67 such as various types of displays, speakers, and the like; a storage unit 68 such as a magnetic disk, optical disk, or the like; and a communication unit 69 such as a network card, modem, wireless communication transceiver, etc. The communication unit 69 allows the electronic device 60 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.

Processor 61 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 61 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, or the like. The processor 61 performs the various methods and processes described above, such as the chip alteration curve generation method.

In some embodiments, the chip alteration curve generation method may be implemented as a computer program that is tangibly embodied in a computer-readable storage medium, such as the storage unit 68. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 60 via the ROM 62 and/or the communication unit 69. When loaded into RAM 63 and executed by processor 61, the computer program may perform one or more of the steps of the chip alteration curve generation method described above. Alternatively, in other embodiments, the processor 61 may be configured to perform the chip alteration curve generation method in any other suitable manner (e.g., by means of firmware).

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.

A computer program for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be performed. A computer program can execute entirely on a machine, partly on a machine, as a stand-alone software package partly on a machine and partly on a remote machine or entirely on a remote machine or server.

In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), blockchain networks, and the internet.

The computing system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service are overcome.

It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present invention may be executed in parallel, sequentially, or in different orders, and are not limited herein as long as the desired results of the technical solution of the present invention can be achieved.

The above-described embodiments should not be construed as limiting the scope of the invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A chip alteration curve generation method comprising:

otherwise, determining a counting updating condition according to the starting counting value, and updating the starting counting value when the chip changing data of the current day and the historical chip changing data meet the counting updating condition.

2. The method of claim 1, wherein the predetermined statistical condition is a first statistical condition or a second statistical condition, and determining whether the current day chip change data satisfies the predetermined statistical condition according to the historical chip change data comprises:

if the difference value between the current closing price in the current day chip change data and the last closing price in the last day chip change data is smaller than a first difference threshold value, a first counting value is added;

when the first counting value meets a first counting condition, determining that the chip change data of the current day meets the first counting condition;

if the difference value between the current collecting price in the current day chip change data and the last collecting price in the last day chip change data is larger than a second difference threshold value, a second counting value is added;

and when the second counting value meets a second counting condition, determining that the chip change data of the current day meets a second statistical condition.

3. The method of claim 2, wherein when the predetermined statistical condition is a first statistical condition, the change point is a first change point, the determining a change point, and generating a chip change curve from the change point and the chip change data of the current day comprises:

determining the time of day as the abscissa of the first change point;

determining the lowest price according to the chip change data of the current day, and determining the lowest price as the ordinate of a first change point;

and generating a chip change curve according to the abscissa and the ordinate of the first change point.

4. The method of claim 2, wherein when the predetermined statistical condition is a second statistical condition, the change point is a second change point, the determining a change point, and generating a chip change curve from the change point and the chip change data of the day comprises:

determining the time of day as the abscissa of the second change point;

determining the highest price according to the chip change data of the current day, and determining the highest price as the ordinate of a second change point;

and if the first change point exists before the time of the day, generating a chip change curve according to the abscissa and the ordinate of the second change point.

5. The method of claim 1, after determining a change point, further comprising:

and clearing the starting value and the starting count value.

6. The method according to claim 2, wherein when the preset statistical condition is a first statistical condition, the determining a count update condition according to the start count value comprises:

when the starting count value is equal to 0, determining the counting updating condition that the closing price of the current day is greater than or equal to the highest price of the last two days and the highest price of the current day is greater than the highest price of the last day;

and when the starting count value is not equal to 0, determining the counting updating condition that the current closing price is greater than or equal to the highest price of the last two days, the highest price of the current day is greater than the highest price of the last day, and the closing price of the current day is greater than the first target price.

7. The method according to claim 2, wherein when the preset statistical condition is a second statistical condition, the determining a count update condition according to the start count value comprises:

when the starting count value is equal to 0, determining the counting updating condition that the closing price of the current day is less than or equal to the lowest price of the last two days and the lowest price of the current day is less than the lowest price of the last day;

and when the starting count value is not equal to 0, determining the counting updating condition that the closing price on the current day is less than or equal to the lowest price on the last two days, the lowest price on the current day is less than the lowest price on the last day, and the closing price on the current day is less than the second target price.

8. The method of claim 6 or 7, wherein after determining that the current day chip change data and historical chip change data satisfy the count update condition, further comprising:

and updating the first target price or the second target price according to the closing price on the current day.

9. A chip alteration curve generation device comprising:

the change judging module is used for judging whether the starting counting value meets the change condition or not when the starting value meets the starting condition, if so, determining a change point and generating a chip change curve according to the change point and the chip change data of the current day; otherwise, determining a calculation updating condition according to the starting counting value, and updating the starting counting value when the chip changing data of the current day and the historical chip changing data meet the counting updating condition.

10. An electronic device, characterized in that the electronic device comprises:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,

the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the chip modification curve generation method of any one of claims 1-8.

11. A computer-readable storage medium storing computer instructions for causing a processor to perform the chip modification curve generation method of any one of claims 1 to 8 when executed.