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

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

Method, device, device and storage medium for generating chip change curve

technical field

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

Background technique

With the improvement of living standards, stocks have become a financial choice for more and more people. The stock reflects the status and price information of major events through the K-line chart. Chips are the proportion of changes in the cost of holding the stock market, and the amount of chips also indicates how much investors hold the stock. Therefore, it is very important to make changes to the chips. How to choose the right time to change the chips has become a problem to be solved.

SUMMARY OF THE INVENTION

The present invention provides a method, device, device and storage medium for generating a chip change curve, so as to solve the problem that the chip cannot be changed accurately.

According to an aspect of the present invention, a method for generating a chip change curve is provided, the method comprising:

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

When it is determined according to the historical chip change data that the current day's chip change data satisfies a preset statistical condition, generating an activation value and acquiring an activation count value;

When the activation value satisfies the activation condition, determine whether the activation count value satisfies the change condition, and if so, determine the change point, and generate a chip change curve according to the change point and the chip change data of the day;

Otherwise, a calculation update condition is determined according to the start count value, and when it is determined that the current day chip change data and the historical chip change data satisfy the count update condition, the start count value is updated.

According to another aspect of the present invention, there is provided a chip change curve generating device, the device comprising:

The data acquisition module is used to acquire the current chip change data and historical chip change data of the stock to be changed;

a count value acquisition module, configured to generate a start value and obtain a start count value when it is determined according to the historical chip change data that the current day's chip change data satisfies a preset statistical condition;

a change judgment module, configured to judge whether the start count value satisfies the change condition when the start value satisfies the start condition, and if so, determine the change point, and generate a chip change curve according to the change point and the chip change data of the day; Otherwise, a calculation update condition is determined according to the start count value, and when it is determined that the current day chip change data and the historical chip change data satisfy the count update condition, the start count value is updated.

According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

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 executed by the at least one processor to enable the at least one processor to perform any of the embodiments of the present invention. Chip change curve generation method.

According to another aspect of the present invention, a computer-readable storage medium is provided, where computer instructions are stored in the computer-readable storage medium, and the computer instructions are used to cause a processor to implement any of the embodiments of the present invention when executed. The chip change curve generation method.

The technical solution of the embodiment of the present invention is to obtain the current-day chip change data and historical chip change data of the stock to be changed; when it is determined according to the historical chip change data that the current-day chip change data meets the preset statistical conditions, a startup value is generated and a startup count value is obtained. ; When the start value satisfies the start condition, judge whether the start count value satisfies the change condition, if so, determine the change point, and generate the chip change curve according to the change point and the chip change data of the day; otherwise, determine the calculation update condition according to the start count value, When it is determined that the chip change data of the current day and the historical chip change data satisfy the count update condition, the start count value is updated. The problem that the chip change point cannot be determined is solved. By analyzing the chip change data of the current day and the historical chip change data, it is determined that when the preset statistical conditions are met, the activation value is generated and the activation count value is obtained. When the start value meets the start condition, the change point analysis is started. When the startup count value meets the change conditions, the change point is determined to realize accurate analysis of the chip change; and the chip change curve is generated according to the change point and the chip change data of the day, and the change point is displayed for easy viewing. When the start count value does not meet the change condition, determine the count update condition, different start count values correspond to different count update conditions, judge whether the current chip change data and historical chip change data meet the count update condition, and update the start count value, Until the start count value satisfies the change condition, the determination of the change point is realized. By setting different conditions, the change point is determined in combination with the chip change data of the day and the historical chip change data, the information of the change point is accurately determined, and the accuracy of the change point determination is improved.

It should be understood that the content described in this section is not intended to identify key or critical features of the embodiments of the invention, nor is it intended to limit the scope of the invention. Other features of the present invention will become readily understood from the following description.

Description of drawings

In order to illustrate the technical solutions in the embodiments of the present invention more clearly, the following briefly introduces the accompanying drawings used in the description of the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can also be obtained from these drawings without creative effort.

1 is a flowchart of a method for generating a chip change curve according to Embodiment 1 of the present invention;

2 is a flowchart of a method for generating a chip change curve according to Embodiment 2 of the present invention;

FIG. 3 is an exemplary diagram of an implementation of determining a first change point according to Embodiment 2 of the present invention;

FIG. 4 is a diagram illustrating an implementation example of determining a second change point according to Embodiment 2 of the present invention;

5 is a schematic structural diagram of an apparatus for generating a chip change curve according to Embodiment 3 of the present invention;

6 is a schematic structural diagram of an electronic device implementing the method for generating a chip change curve according to an embodiment of the present invention.

Detailed ways

In order to make those skilled in the art better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only Embodiments are part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts 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 the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used may be interchanged under appropriate circumstances such that the embodiments of the invention described herein can be practiced in sequences other than those illustrated or described herein. Furthermore, the terms "comprising" and "having" and any variations thereof, are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those expressly listed Rather, those steps or units may include other steps or units not expressly listed or inherent to these processes, methods, products or devices.

Example 1

1 is a flowchart of a method for generating a chip change curve according to Embodiment 1 of the present invention. This embodiment is applicable to the situation of analyzing chip changes. The method can be executed by a chip change curve generating device. The curve generating device may be implemented in the form of hardware and/or software, and the chip change curve generating device may be configured in . As shown in Figure 1, the method includes:

S101. Acquire current-day chip change data and historical chip change data of the stock to be changed.

In this embodiment, the stock to be changed can be specifically understood as a stock with a change analysis requirement. The chip change data on the current day can be specifically understood as the relevant data involved when the chips on the current day are changed, for example, data such as closing price, opening price, lowest price, and highest price. The historical chip change data can be specifically understood as the relevant data involved in the chip change before the current day. The historical chip change data and the current chip change data have the same data type, only the date is different.

Specifically, the stock to be changed can be selected by the user, and the stock that needs attention is selected as the stock to be changed. If the number of stocks to be changed is multiple, each of the stocks to be changed will generate a chip change curve in the same way. For each stock, the daily chip change data is recorded and stored; or, only the daily chip change data of the stock to be changed is recorded and stored. After the stock to be changed is determined, the current day chip change data and the historical chip change data of the stock to be changed are acquired from the corresponding storage space. The chip change data of the day and the historical chip change data can also be stored on the server side. The chip change curve generation method provided by this application can be executed on the client side. The client side creates a Socket and connects with the server side, and obtains the current day from the server side through instructions. Chip change data and historical chip change data.

S102. When it is determined according to the historical chip change data that the current day's chip change data satisfies a preset statistical condition, generate an activation value and acquire an activation count value.

In this embodiment, the preset statistical condition can be specifically understood as a preset condition used to determine whether the generation of the chip change curve can be started. The starting value can be understood as a numerical value, for example, 1, 2, etc., which is used to measure whether the chip change data meets the requirements. The start count value can be specifically understood as a numerical value for counting.

Specifically, different preset statistical conditions are set, the types of change points corresponding to different preset statistical conditions are different, and different change points correspond to changes of different stock ownership rights. Or have attribution. Compare the current chip change data with the historical chip change data, for example, determine the size of the closing price of the current chip change data and the closing price in the historical chip change data, determine whether the preset statistical conditions are met, and if so, generate the activation value and obtain the activation value count value. The generation of the start value may be an initial assignment of the start value, for example, when a preset statistical condition is satisfied, the start value is set to 1, that is, the generated start value is 1. The startup count value sets the initial value, and its initial value can be set to 0, and the startup count value obtained after the startup value is generated is the initial value.

S103 , when the activation value satisfies the activation condition, determine whether the activation count value satisfies the change condition, and if so, execute S104 ; otherwise, execute S105 .

In this embodiment, the activation condition may be that the activation value is greater than a certain threshold value, or the activation value is within a certain threshold value range, or the like. The change condition can be specifically understood as a condition for judging whether there is a change point, for example, the start count value is greater than 3.

Specifically, it is judged whether the activation value satisfies the activation condition, and when the activation value satisfies the activation condition, it is judged whether the activation count value satisfies the change condition. If the change condition is met, S104 is executed; When the start value does not meet the start condition, there is no change point at this time, and wait for the start value to meet the start condition.

S104. Determine the change point, and generate a chip change curve according to the change point 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 satisfies the change condition, it is determined that there is a change point on the day, that is, the date of the change point is determined, and the closing price, the lowest price, the highest price, etc. corresponding to the change point are determined according to the chip change data of the day, and the chip change curve is generated.

S105: Determine the count update condition according to the start count value, and update the start count value when it is determined that the chip change data of the current day and the historical chip change data satisfy the count update condition.

In this embodiment, the count update condition can be specifically understood as a condition for judging whether the start count value needs to be updated, 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 corresponding to it is determined. After the counting update condition is used, it is judged whether the current chip change data and the historical chip change data satisfy the count update condition. If so, the start count value is updated, and the update can be an operation such as adding 1 or 2 to the start count value. For the updated start count value, you can continue to obtain the new day's chip change data on the next day. Since the start value has not changed, the start value still satisfies the start condition, and the operation of judging whether the start count value meets the change condition is repeated until When the start count value satisfies the change condition, the change point is determined. When the count update condition is not met, the start count value remains unchanged, and new day chip change data can be obtained in the next day. Since the start value has not changed, the start value still satisfies the start condition. Repeat the execution to determine whether the start count value is not changed. For an operation that satisfies the change condition, since the start count value at this time has not changed, it still does not meet the change condition. Continue to determine the count update condition and judge whether the new current day chip change data and historical chip change data satisfy the count update condition.

The embodiment of the present invention provides a method for generating a chip change curve, which solves the problem that the chip change point cannot be determined. By analyzing the chip change data of the current day and the historical chip change data, it is determined that a preset statistical condition is met, and a startup value is generated and Get the start count value. When the start value meets the start condition, the change point analysis is started. When the startup count value meets the change conditions, the change point is determined to realize accurate analysis of the chip change; and the chip change curve is generated according to the change point and the chip change data of the day, and the change point is displayed for easy viewing. When the start count value does not meet the change condition, determine the count update condition, different start count values correspond to different count update conditions, judge whether the current chip change data and historical chip change data meet the count update condition, and update the start count value, Until the start count value satisfies the change condition, the determination of the change point is realized. By setting different conditions, the change point is determined in combination with the chip change data of the day and the historical chip change data, the information of the change point is accurately determined, and the accuracy of the change point determination is improved.

Embodiment 2

FIG. 2 is a flowchart of a method for generating a chip change curve according to Embodiment 2 of the present invention. This embodiment is refined on the basis of the foregoing embodiment. As shown in Figure 2, the method includes:

S201. Acquire the current-day chip change data and historical chip change data of the stock to be changed.

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

The first statistical condition and the second statistical condition correspond to different types of change points. S202-S203 and S204-S205 are parallel schemes, and one of the branches is selected for execution in practical applications.

S202. If the difference between the closing price of the current day in the chip change data of the current day and the previous closing price of the chip change data of the previous day is less than a first difference threshold, increment the first count value.

In this embodiment, the closing price of the current day can be specifically understood as the closing price of the stock to be changed on the current day. The chip change data of the previous day can be specifically understood as the chip change data of the previous day. The historical chip change data includes the chip change data of the previous day; 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 can be set according to requirements, for example, 0, 1, 2, and so on. The first count value can be specifically understood as a numerical value used for counting.

Specifically, the closing price of the current day is determined according to the chip change data of the current day, the chip change data of the previous day is obtained from the historical chip change data, and the previous closing price is determined according to the chip change data of the previous day. Calculate the difference between the closing price of the current day and the previous closing price. If the difference is less than the first difference threshold, increment the first count value. Increment can be adding 1, adding 2, etc. If the difference between the closing price of the current day and the previous closing price is not less than the first difference threshold, the first count value is cleared.

S203. When the first count value satisfies the first count condition, determine that the chip change data of the current day satisfies the first statistical condition.

In this embodiment, the first count condition may be that the first count value is greater than n1, and n1 may be 1, 2, 3, . . . and so on. When the first count value satisfies the first count condition, and the difference between the closing price of the current day and the previous closing price is smaller than the first difference threshold for n1 consecutive times, it is determined that the chip change data of the current day meets the first statistical condition. When the first count value does not meet the first count condition, wait for the chip change data of the next day, and continue to judge whether the difference between the closing price of the current day and the last closing price is less than the first difference threshold.

Exemplarily, taking the first difference threshold as 0 and the first count condition as 3 as an example, the case where the first statistical condition is satisfied is described. If the closing price of the current day is less than the previous closing price, add 1 to the first count value. When the first count value is greater than 3, the chip change data of the current day meets the first statistical condition, that is, the closing price of the current day is less than the previous closing price for 4 consecutive days , the first statistical condition is satisfied.

S204. If the difference between the closing price of the current day in the chip change data of the current day and the previous closing price of the chip change data of the previous day is greater than the second difference threshold, increment the second count value.

In this embodiment, the second difference threshold can be set according to requirements, for example, 0, 1, 2, and so on. The size of the second difference threshold and the first difference threshold may be the same or different. Specifically, the second count value can be understood as a numerical value used for counting.

Specifically, the difference between the closing price of the current day and the previous closing price is calculated, and if the difference is greater than the second difference threshold, the second count value is incremented. Increment can be adding 1, adding 2, etc. If the difference between the closing price of the current day and the closing price of the previous day is not greater than the second difference threshold, the second count value is cleared to zero.

S205. When the second count value satisfies the second count condition, determine that the chip change data of the current day satisfies the second statistic condition.

In this embodiment, the second count condition may be that the second count value is greater than n2, and n2 may be 1, 2, 3, . . . and so on. When the second count value satisfies the second count condition, the difference between the closing price of the current day and the previous closing price is greater than the second difference threshold for n2 consecutive times, and it is determined that the chip change data of the current day meets the second statistical condition. When the second count value does not meet the second count condition, wait for the chip change data of the next day, and continue to judge whether the difference between the closing price of the current day and the last closing price is greater than the second difference threshold.

Exemplarily, taking the first difference threshold as 0 and the first count condition as 3 as an example, if the closing price of the current day is greater than the previous closing price, add 1 to the second count value, and when the second count value is greater than 3, The chip change data of the current day satisfies the second statistical condition, that is, when the closing price of the current day is greater than the previous closing price for 4 consecutive days, the second statistical condition is satisfied.

S206. Generate a startup value and obtain a startup count value.

S207 , when the activation value satisfies the activation condition, determine whether the activation count value satisfies the change condition, and if so, execute S208 ; otherwise, execute S215 .

S208. Determine that the preset statistical condition is the first statistical condition or the second statistical condition. When the preset statistical condition is the first statistical condition, execute S209, and when the preset statistical condition is the second statistical condition, execute S212.

It is determined whether the preset statistical condition is the first statistical condition or the second statistical condition. When the preset statistical condition is the first statistical condition, S209 is executed, and when the preset statistical condition is the second statistical condition, S212 is executed.

When the preset statistical condition is the first statistical condition, the change point is the first change point.

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

In this embodiment, the first change point can be specifically understood as a change point for acquiring the ownership right of the chips of the stock to be changed. Correspondingly, when incrementing the first count value, the closing price of the current day needs to be less than the previous closing price, and the first difference threshold can be set according to the demand, so as to ensure that the closing price of the current day is less than the previous closing price. Taking the time of the day as the abscissa of the first change point, the appearance time of the first change point is determined.

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

By analyzing the chip change data of the day, the lowest price is determined, and the lowest price is taken as the ordinate of the first change point.

S211. Generate a chip change curve according to the abscissa and ordinate of the first change point.

Generating the chip change curve according to the abscissa and ordinate of the first change point may be to mark the first change point on the basis of the K-line to form the chip change curve, that is, to draw the first change point on the K-line chart. You can also draw the chip change curve additionally, and draw all the change points in one graph. For example, after the change point is determined for the first time, the first change point will be drawn according to its coordinates. When the number of change points is greater than or equal to two. When the number of chips is changed, the chip change curve can be generated by connecting lines. When the change point is determined again later, the change point will be marked on the chip change curve of the previous day, so that all the change points can be represented by the same chip change curve. , which is convenient for summarizing and viewing the data.

Exemplarily, the present application provides a method for drawing the first change point. Use the decodeResource() function of the BitmapFactory factory class in the Android SDK to construct a Bitmap object. In the Android system, Bitmap represents a bitmap and is one of the most important transfer classes for image processing. After the first change point is determined, a bitmap mark of the first change point is drawn above the K line of the main image, indicating that it is the first change point. After obtaining the coordinates of the lowest price of the K-line on the corresponding trading day in the K-line icon, as the ordinate of the first change point, the Rect drawing tool class provided by the Android SDK is used to determine the position of the bitmap on the left, top, right, Use the drawBitmap() function of Canvas to draw a small icon marked as the first change point.

When the preset statistical condition is the second statistical condition, the change point is the second change point.

S212. Determine the time of the day as the abscissa of the second change point.

In this embodiment, the second change point can be specifically understood as a change point of losing the ownership right of the chips of the stock to be changed. Correspondingly, when incrementing the second count value, the closing price of the current day needs to be greater than the previous closing price, and the second difference threshold can also be set according to the requirements to ensure that the closing price of the current day is greater than the previous closing price. Taking the time of the day as the abscissa of the second change point, the appearance time of the second change point is determined.

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

By analyzing the chip change data of the day, the highest price is determined, and the highest price is taken as the ordinate of the second change point.

S214. If the first change point exists before the time of the day, generate 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 occurs, a chip change curve is generated according to the coordinates of the second change point. The drawing method of the second change point is the same as the drawing method of the first change point, and details are not described herein again.

As an optional embodiment of this embodiment, further optimization in this optional embodiment includes, after the determined change point, further comprising: clearing the start value and the start count value.

After the change point is determined, the start value and the start count value are reset to zero, and this cycle is ended, so as to judge whether the preset statistical conditions are met again according to the new day's chip change data and historical chip change data.

S215. Determine that the preset statistical condition is the first statistical condition or the second statistical condition. When the preset statistical condition is the first statistical condition, execute S216, and when the preset statistical condition is the second statistical condition, execute S219.

It is determined whether the preset statistical condition is the first statistical condition or the second statistical condition. When the preset statistical condition is the first statistical condition, S216 is executed, and when the preset statistical condition is the second statistical condition, S219 is executed.

S216, determine whether the startup count value is equal to 0, if so, execute S217; otherwise, execute S218.

S217. Determine the count update condition that the closing price of the current day is greater than or equal to the highest price of the previous two days and the highest price of the current day is greater than the highest price of the previous day.

In this embodiment, the highest price of the last two days can be specifically understood as the highest price of the two days before the current day; the highest price of the previous day can be specifically understood as the highest price of the previous day of the current day. For example, if the current day is January 17, 2022, the highest price of the previous two days is the highest price of the stock to be changed on January 15, 2022; the highest price of the previous day is the highest price of the stock to be changed on January 16, 2022 highest price.

The count update condition can be expressed as: close[0]>=high[2] and high[0]>high[1]; among them, close[0] is the closing price of the current day; high[2] is the highest price of the previous two days; high[0] is the highest price of the day; high[1] is the highest price of the previous day.

S218. Determine the count update condition that the current closing price is greater than or equal to the highest price of the previous two days, the highest price of the current day is greater than the highest price of the previous 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 is updated in real time as the count update conditions are met and the closing price.

The count update condition can 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, determine whether the start count value is equal to 0, if so, execute S220; otherwise, execute S221.

S220. Determine the count update condition that the closing price of the current day is less than or equal to the lowest price of the previous two days and the lowest price of the current day is less than the lowest price of the previous day.

In this embodiment, the lowest price of the last two days can be specifically understood as the lowest price of the two days before the current day; the lowest price of the previous day can be specifically understood as the lowest price of the previous day of the current day. For example, if the current day is January 17, 2022, the lowest price of the previous two days is the lowest price of the stock to be changed on January 15, 2022; the lowest price of the previous day is the lowest price of the stock to be changed on January 16, 2022 lowest price.

The count update condition can be expressed as: close[0]<=low[2] and low[0]<low[1]; where low[2] is the lowest price of the last two days; low[0] is the lowest price of the current day; low[1] is the lowest price of the previous day.

S221. Determine the count update condition that the closing price of the current day is less than or equal to the lowest price of the previous two days, the lowest price of the current day is less than the lowest price of the previous day, and the closing price of 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 day. The second target price is predetermined and updated in real time as the count update condition is met and the closing price. According to the data of three consecutive days to determine whether to count the update condition, the result is more accurate.

The count update condition can 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.

S222 , when it is determined that the chip change data of the current day and the historical chip change data satisfy the count update condition, update the start count value.

In the embodiment of the present application, the chip change data of the current day can only satisfy the first statistical condition or the second statistical condition, that is, the change point generated if the change condition is satisfied can only be one of the first change point and the second change point. Therefore, after determining the count update condition, filter out the corresponding type of data from the current chip change data and historical chip change data according to the count update condition, determine whether the data satisfies the count update condition, and update the start count value when the condition is met.

As an optional embodiment of this embodiment, this optional embodiment further optimizes the following steps: after determining that the chip change data of the current day and the historical chip change data satisfy the count update condition, it further includes: adjusting the first target price or the first target price or The second target price is updated.

If the chip change data of the current day and the historical chip change data satisfy the count update condition, then the closing price of the current day is used as the new first target price or second target price to realize the update of the first target price or the second target price. Regarding the update of the first target price and the second target price, when the preset statistical condition is the first statistical condition, the first target price is updated; when the preset statistical condition is the second statistical condition, the second target price is updated. to update.

Exemplarily, FIG. 3 provides an example diagram of an implementation of determining the first change point, and FIG. 3 takes the preset statistical condition as the first statistical condition as an example.

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

S302. If the difference between the closing price of the current day in the chip change data of the current day and the previous closing price of the chip change data of the previous day is less than a first difference threshold, increment the first count value.

S303. When the first count value satisfies the first count condition, determine that the chip change data of the current day satisfies the first statistical condition.

S304. Generate a startup value and obtain a startup count value.

S305 , when the activation value satisfies the activation condition, determine whether the activation count value satisfies the change condition, and if so, execute S306 ; otherwise, execute S309 .

S306. Determine the time of the day as the abscissa of the first change point.

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

S308. Generate a chip change curve according to the abscissa and ordinate of the first change point.

S309: Determine whether the startup count value is equal to 0, if so, execute S310; otherwise, execute S311.

S310. Determine the count update condition that the closing price of the current day is greater than or equal to the highest price of the previous two days and the highest price of the current day is greater than the highest price of the previous day.

S311. Determine the count update condition that the current closing price is greater than or equal to the highest price of the previous two days, the highest price of the current day is greater than the highest price of the previous day, and the closing price of the current day is greater than the first target price.

S312 , when it is determined that the chip change data of the current day and the historical chip change data satisfy the count update condition, update the start count value.

Exemplarily, FIG. 4 provides an example diagram of an implementation of determining the second change point, and FIG. 4 takes the preset statistical condition as the second statistical condition as an example.

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

S402. If the difference between the closing price of the current day in the chip change data of the current day and the previous closing price of the chip change data of the previous day is greater than a second difference threshold, increment the second count value.

S403. When the second count value satisfies the second count condition, determine that the chip change data of the current day satisfies the second statistic condition.

S404. Generate a startup value and obtain a startup count value.

S405 , when the activation value satisfies the activation condition, determine whether the activation count value satisfies the change condition, and if so, execute S406 ; otherwise, execute S409 .

S406. Determine the time of the day as the abscissa of the second change point.

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

S408. If there is a first change point before the time of the day, generate a chip change curve according to the abscissa and ordinate of the second change point.

S409, determine whether the start count value is equal to 0, if so, execute S410; otherwise, execute S411.

S410. Determine 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 previous two days and the lowest price of the current day is less than the lowest price of the previous day.

S411. Determine the count update condition that the closing price of the current day is less than or equal to the lowest price of the previous two days, the lowest price of the current day is less than the lowest price of the previous day, and the closing price of the current day is less than the second target price.

S412 , when it is determined that the chip change data of the current day and the historical chip change data satisfy the count update condition, update the start count value.

The embodiment of the present invention provides a method for generating a chip change curve, which solves the problem that the chip change point cannot be determined. By analyzing the chip change data of the current day and the historical chip change data, it is determined that a preset statistical condition is met, and a startup value is generated and Get the start count value. When the start value meets the start condition, the change point analysis is started. When the startup count value meets the change conditions, the change point is determined to realize accurate analysis of the chip change; and the chip change curve is generated according to the change point and the chip change data of the day, and the change point is displayed for easy viewing. When the start count value does not meet the change condition, determine the count update condition, different start count values correspond to different count update conditions, judge whether the current chip change data and historical chip change data meet the count update condition, and update the start count value, Until the start count value satisfies the change condition, the determination of the change point is realized. By setting different conditions and combining the current chip change data and historical chip change data to determine the change point, accurately determine the information of the change point, and improve the accuracy of the change point determination. 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 that the stock price starts.

Embodiment 3

FIG. 5 is a schematic structural diagram of an apparatus for generating a chip change curve according to Embodiment 3 of the present invention. As shown in FIG. 5 , the device includes: a data acquisition module 51 , a count value acquisition module 52 and a change judgment module 53 .

The data acquisition module 51 is used to acquire the current-day chip change data and historical chip change data of the stock to be changed;

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

The change judgment module 53 is used to judge whether the start count value satisfies the change condition when the start value satisfies the start condition, and if so, determine the change point, and generate a chip change curve according to the change point and the chip change data of the day Otherwise, determine the calculation update condition according to the start count value, and update the start count value when it is determined that the current chip change data and the historical chip change data satisfy the count update condition.

The embodiment of the present invention provides a chip change curve generating device, which solves the problem that the chip change point cannot be determined. By analyzing the chip change data of the current day and the historical chip change data, it is determined that a preset statistical condition is satisfied, and a start value is generated and Get the start count value. When the start value meets the start condition, the change point analysis is started. When the startup count value meets the change conditions, the change point is determined to realize accurate analysis of the chip change; and the chip change curve is generated according to the change point and the chip change data of the day, and the change point is displayed for easy viewing. When the start count value does not meet the change condition, determine the count update condition, different start count values correspond to different count update conditions, judge whether the current chip change data and historical chip change data meet the count update condition, and update the start count value, Until the start count value satisfies the change condition, the determination of the change point is realized. By setting different conditions and combining the current chip change data and historical chip change data to determine the change point, accurately determine the information of the change point, and improve the accuracy of the change point determination.

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

The count value acquisition module 52 includes:

The first incrementing unit is configured to increment the first count value if the difference between the closing price of the current day in the chip change data of the current day and the previous closing price of the chip change data of the previous day is less than the first difference threshold. add;

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

The second incrementing unit is configured to increment the second count value if the difference between the closing price of the current day in the chip change data of the current day and the last closing price of the chip change data of the previous day is greater than the second difference threshold add;

A second condition judging unit, configured to determine that the chip change data of the current day satisfies the second statistical condition when the second count value satisfies the second count condition.

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

The change judgment module 53 includes:

The first abscissa determination module, for determining the time of the day as the abscissa of the first change point;

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

A first curve generation module, configured to generate a chip change curve according to the abscissa and ordinate of the first change point.

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

The change judgment module 53 includes:

The second abscissa determination module is used to determine the time of the day as the abscissa of the second change point;

A second ordinate determining module, configured to determine the highest price according to the chip change data of the day, and determine the highest price as the ordinate of the second change point;

The second curve generation module is configured to generate a chip change curve according to the abscissa and the ordinate of the second change point if there is a first change point before the time of the day.

Optionally, the device further includes:

The clearing module is used for clearing the start value and the start count value after the determined change point.

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

The change judgment module 53 includes:

a first condition determination module, configured to determine that the count update condition is that the closing price of the current day is greater than or equal to the highest price of the previous two days and the highest price of the current day is greater than the highest price of the previous day when the start count value is equal to 0;

The first condition determination module is used to determine that when the start count value is not equal to 0, the count update condition is that the current closing price is greater than or equal to the highest price of the previous two days, the highest price of the current day is greater than the highest price of the previous day, and the closing price of the current day is greater than or equal to the highest price of the previous day. first target price.

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

The change judgment module 53 includes:

The third condition determination module is configured to, when the start count value is equal to 0, determine 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 previous two days and the lowest price of the current day is less than the lowest price of the previous day;

The fourth condition determination module is used to determine 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 previous two days, the lowest price of the current day is less than the lowest price of the previous day, and the closing price of the current day is less than the lowest price of the previous day when the start count value is not equal to 0 The second target price.

Optionally, the device further includes:

The zero-clearing module is configured to update the first target price or the second target price according to the closing price of the current day after it is determined that the chip change data of the current day and the historical chip change data satisfy the count update condition.

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

Embodiment 4

FIG. 6 shows a schematic structural diagram of an electronic device 60 that can be used to implement embodiments of the present invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. Electronic devices may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smart phones, wearable devices (eg, helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are by way of example only, and are not intended 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, such as a read only memory (ROM) 62, a random access memory (RAM) 63, etc., connected in communication with the at least one processor 61, wherein the memory stores There is a computer program executable by at least one processor, and the processor 61 can access the computer program according to a computer program stored in a read only memory (ROM) 62 or loaded from a storage unit 68 into a random access memory (RAM) 63. Various appropriate actions and processes are performed. In the RAM 63, various programs and data necessary for the operation of the electronic device 60 can also be stored. The processor 61 , the ROM 62 and the RAM 63 are connected to each other through a bus 64 . An input/output (I/O) interface 65 is also connected to bus 64 .

Various 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, etc.; an output unit 67, such as various types of displays, speakers, etc.; a storage unit 68, such as a magnetic disk, an optical disk etc.; and a communication unit 69, such as a network card, modem, wireless communication transceiver, and the like. The communication unit 69 allows the electronic device 60 to exchange information/data with other devices through a computer network such as the Internet and/or various telecommunication networks.

The processor 61 may be various general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 61 include, but are not limited to, central processing units (CPUs), graphics processing units (GPUs), various specialized artificial intelligence (AI) computing chips, various processors that run machine learning model algorithms, digital signal processing processor (DSP), and any suitable processor, controller, microcontroller, etc. The processor 61 performs the various methods and processes described above, such as the chip change curve generation method.

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

Various implementations of the systems and techniques described herein above may be implemented in digital electronic circuitry, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips system (SOC), load programmable logic device (CPLD), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include being implemented in one or more computer programs executable and/or interpretable on a programmable system including at least one programmable processor that The processor, which may be a special purpose or general-purpose programmable processor, may receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device an output device.

Computer programs 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/operations specified in the flowcharts and/or block diagrams to be carried out. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in connection with the instruction execution system, apparatus or device. Computer-readable storage media may include, but are not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or devices, or any suitable combination of the foregoing. Alternatively, the computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media would include one or more wire-based electrical connections, portable computer disks, hard disks, random access memory (RAM), read only memory (ROM), erasable programmable read only memory (EPROM or flash memory), fiber optics, compact disk read only memory (CD-ROM), optical storage, magnetic storage, or any suitable combination of the foregoing.

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

The systems and techniques described herein may be implemented on a computing system that includes back-end components (eg, as a data server), or a computing system that includes middleware components (eg, an application server), or a computing system that includes front-end components (eg, a user's computer having a graphical user interface or web browser through which a user may interact with implementations of the systems and techniques described herein), or including such backend components, middleware components, Or any combination of front-end components in a computing system. The components of the system may be interconnected by any form or medium of digital data communication (eg, a communication network). Examples of communication networks include: Local Area Networks (LANs), Wide Area Networks (WANs), blockchain networks, and the Internet.

A computing system can include clients and servers. Clients and servers are generally remote from each other and usually interact through a communication network. The relationship of client and server arises by computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also known as a cloud computing server or a cloud host. It is a host product in the cloud computing service system to solve the traditional physical host and VPS services, which are difficult to manage and weak in business scalability. defect.

It should be understood that steps may be reordered, added or deleted using the various forms of flow shown above. For example, the steps described in the present invention can be performed in parallel, sequentially or in different orders, and as long as the desired results of the technical solutions of the present invention can be achieved, no limitation is imposed herein.

The above-mentioned specific embodiments do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may occur depending on design requirements and other factors. Any modifications, equivalent replacements and improvements made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims (11)

1. A chip alteration curve generation method comprising:

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 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 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 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.

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