CN112419067A - Method, system, device, processor and storage medium for realizing individual thigh support pressure position calculation processing based on computer software - Google Patents
Method, system, device, processor and storage medium for realizing individual thigh support pressure position calculation processing based on computer software Download PDFInfo
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Abstract
The invention relates to a method for realizing individual stock bracing pressure position calculation processing based on computer software, which comprises an individual stock market data acquisition module acquiring relevant individual stock market data; the individual stock chip distribution calculation module weights and counts the chip distribution of the individual stocks day by day according to the close 90-day transaction data of the individual stocks; the individual strand bracing pressure position calculation module calculates the dense intersection area, the supporting position and the pressure position of each strand; the individual thigh supporting pressure position intensity calculation module counts the rise and fall performance of the individual thigh after the individual thigh is touched with the supporting pressure position or the pressure position, calculates the supporting position or pressure position intensity score and the performance of 10 days of touching; and drawing lines at the front end shows that the functional modules mark corresponding supporting positions and pressure positions on the K line graphs of the strands. The invention also relates to a corresponding system, device, processor and computer readable storage medium thereof. The method, the system, the device, the processor and the computer readable storage medium thereof for realizing the calculation processing of the individual stock prop pressure position based on the computer software of the invention apply the chip distribution theory to calculate the support area and the pressure area with intensive chip exchange for the individual stock transaction data one by one, reveal the support position and the pressure position and assist the stock transaction decision of investors.
Description
Technical Field
The invention relates to the field of security trading, in particular to the field of individual stock supporting pressure position calculation, and specifically relates to a method, a system, a device, a processor and a computer readable storage medium for realizing individual stock supporting pressure position calculation processing based on computer software.
Background
Stock as a negotiable value in the stock market, its price fluctuation is mainly influenced by the supply and demand relation as in the case of buying a commodity in real life. A lot of people want to buy the stock show that the phenomenon of rush raising appears in the plate and the stock price rises; on the other hand, the number of persons who want to sell the stock increases, and the stock price falls.
Understanding the principle of stock fluctuation, we explain what is the bracing position. The supporting and pressing position is a combined name of the stock supporting position and the pressure position. Why will a support position occur? Once the stock price reaches the point, more people want to buy the stock price, people continuously buy the stock price at the price, and the stock price naturally cannot continuously fall to form a supporting function. Why will pressure sites occur? Once the stock price reaches the point, more people need to sell the stock price, and people who do not stop selling the stock price at the price, the stock price naturally rises difficultly, and pressure is formed.
The stock propping positions can be calculated in various ways, and the commonly known methods such as stock form (jump gap, back stepping confirmation platform), volume of transaction, moving average line, chip distribution and the like can be used for judging the propping positions and the pressure positions, but the propping positions calculated by different methods are different. What is desired to be implemented is a more general method of computing the strut by chip distribution.
The chip distribution refers to the amount of each price of all investors in the tray to build a bin, and the method can also be used for estimating the general raising cost of the investors. By applying a chip distribution theory, weighting and counting the close 90-day transaction data of each stock day by day according to the price, quantity and hand-changing rate principle, calculating a support area and a pressure area with intensive chip hand-changing, drawing a line on a K line of each stock to visually reveal a support position and a pressure position, and assisting an investor in stock trading decision, wherein a schematic effect diagram is shown in figure 2.
A supporting position: meaning that when the stock price falls, it may encounter a supported chip dense area and thus may appear to be held back to a stable price. If the support is not lowered at this location many times, a stronger support is formed. Identified in the K-line plot by the red dashed line.
Pressure level: refers to a chip dense area that may encounter resistance as stock prices rise, and thus may appear to reverse down prices. If no effective breakthrough is made near this location multiple times, a stronger pressure will be created. Indicated by a green dashed line in the K-line plot.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a method, a system, a device, a processor and a computer-readable storage medium thereof for realizing the calculation processing of the individual thigh supporting pressure position based on computer software, which have the advantages of high accuracy, simple and convenient operation and wide application range.
In order to achieve the above object, the method, system, apparatus, processor and computer readable storage medium for implementing the calculation process of the individual thigh support pressure position based on computer software of the present invention are as follows:
the system for calculating and processing the thigh supporting pressure position based on the computer software is mainly characterized in that the method comprises the following steps:
(1) the individual stock market data acquisition module is used for acquiring relevant individual stock market data to be used for calculating the distribution of individual stock chips;
(2) the individual stock chip distribution calculating module is used for weighting and counting the chip distribution of the individual stock day by day for the close 90-day individual stock transaction data;
(3) the individual thigh supporting pressure position calculation module is used for calculating an intensive intersection area, a supporting position and a pressure position of each thigh based on the chip distribution data;
(4) the individual thigh supporting pressure position intensity calculating module is used for counting the rising and falling performance of the individual thigh after the individual thigh is touched with the supporting pressure position or the pressure position based on the individual thigh market and the supporting pressure position data, calculating the supporting position or pressure position intensity score and the 10-day performance of touching for the time, and taking the score as the supporting pressure position evaluation index;
(5) and drawing a line at the front end to show the functional module, marking a corresponding supporting position and a corresponding pressure position on the line graph of the strand K, and showing related indexes.
Preferably, the step (2) specifically comprises the following steps:
(2.1) summarizing and summing up the transaction amount corresponding to each transaction price on the current day of each stock according to transaction data one by one to obtain (transaction price P)t,iAmount of transaction Vt,i) Sequence of which Pt,iRepresenting the transaction price of the ith transaction gear on the t days of each stock; vt,iRepresenting the transaction amount corresponding to the ith transaction gear of the t days of each stock; t represents the transaction day; i represents the grade number of the price-making level;
(2.2) calculating the pre-complex weight coefficient w of each strand according to the weight division information division datax；
(2.3) calculating the daily handoff rate H of each stock according to the stock book and the market datat；
(2.4) price P 'according to stock of nearly 90 trade days't,iQuantity Vt,iAnd hand-changing rate Ht", weighted statistics of the cumulative chip price sequences for each stock on the day [ (P)j,Vj)]Wherein P isjFor all bargain prices, V, of nearly 90 days per stockjAccumulating the transaction amount for the corresponding price according to the conversion rate;
(2.5) maximum price point P based on personal stock day historical chip price value sequencemaxAnd minimum valence PminDividing 100 price intervalsPricekCalculating chip distribution [ (Price) of each Price intervalk,Chipk)]；
And (2.6) landing the individual strand chip distribution data to a database.
Preferably, the pre-weight coefficient w of each strand is calculated in the step (2.2)xThe method specifically comprises the following steps:
calculating the pre-complex weight coefficient w of each strand according to the following formulax：
Wherein, the x day of each stock is the dividend and interest removing day, and the x +1 day is the stock right registration day.
Preferably, the daily handoff rate H of each stock t is calculated in the step (2.3)tThe method specifically comprises the following steps:
calculating the daily handoff rate H of each stock according to the following formulat：
Preferably, the step (3) specifically includes the following steps:
(3.1) smoothing the original chip distribution of the current day according to a moving average method;
(3.2) obtaining local maximum value points of the chip distribution according to the smooth lines of the chip distribution;
(3.3) arranging the local maximum value points in descending order according to the smooth traffic;
(3.4) calculating a dense intersection region, solving the sum of the smooth intersection quantities of all windows by using a sliding window method, performing descending order arrangement, and screening out a region which has enough sum of the smooth intersection quantities and at least comprises one local extreme point;
(3.5) judging the type of the maximum dense transaction area, and if the dense transaction area contains the current price, defining the type as a dense area; if the dense intersection region is above the current price, it is defined as a "pressure region"; if the dense bargaining region is below the current price, defining the dense bargaining region as a 'supporting region';
(3.6) collecting other dense transaction areas according to the type of the maximum dense transaction area;
(3.7) outputting a support position and a pressure position, wherein the support position is the price corresponding to the smooth traffic maximum value in the support area, and the pressure position is the price corresponding to the smooth traffic maximum value in the pressure area;
(3.8) carrying out iterative update calculation on the bracing and pressing position;
and (3.9) landing the data of the thigh support compression position to a database.
Preferably, the step (3.6) specifically includes the following steps:
(3.6.1) judging whether the type of the maximum dense intersection area is a dense area, if so, continuing (3.6.2); if the type of the maximum dense intersection zone is a pressure zone, continuing (3.6.3); otherwise, continue (3.6.4);
(3.6.2) searching a new dense transaction area above the price upper bound of the dense area, and defining the new dense transaction area as a pressure area; a new dense transaction area is searched below the price lower bound of the dense area and is defined as a support area;
(3.6.3) finding a new dense transaction area below the lower price limit of the pressure area and judging the type of the area;
(3.6.4) finding a new dense deal area above the upper price limit of the holding area and determining the type of the area.
Preferably, the step (4) of calculating the bracing pressure intensity score specifically comprises:
calculating the bracing pressure position strength score according to the following formula:
support position strength score ═ support position success rate × 0.2+ support position reversal rate × 0.7+ support position chip concentration rate × 0.1 × 100.
Preferably, the calculating of the pressure level intensity score in step (4) includes:
calculating a pressure potential intensity score according to the following formula:
pressure bit intensity score ═ pressure bit success rate × 0.2+ pressure bit reversal rate × 0.7+ pressure bit chip concentration × 0.1 × 100.
Preferably, the performance of the touch screen for 10 days in the step (4) is calculated, specifically:
and counting the rising times, falling times and average rising and falling amplitudes of the price of each stock in the last 250 transaction days after the price of each stock reaches the support position or the pressure position every time 10 days.
Preferably, the step (5) specifically comprises the following steps:
(5.1) calling individual strand detail data in the propping-compression data base;
and (5.2) marking corresponding support positions and pressure positions on a stock K line graph of the trading software, displaying relevant indexes and assisting the stock trading decision of investors.
The system for realizing the method and carrying out calculation processing on the thigh supporting pressure position based on the computer software is mainly characterized by comprising the following steps:
the individual stock market data acquisition module is used for acquiring relevant individual stock market data for calculating the distribution of individual stock chips;
the individual stock chip distribution calculating module is connected with the individual stock market data collecting module and is used for weighting and counting the individual stock chip distribution day by day for the close 90-day individual stock transaction data;
the individual thigh supporting pressure position calculation module is connected with the individual thigh chip distribution calculation module and is used for calculating an intensive intersection area, a supporting position and a pressure position of each thigh based on chip distribution data;
the thigh supporting pressure position intensity calculation module is connected with the thigh supporting pressure position calculation module and used for counting rising and falling performances after the history of the thighs touch the supporting pressure position based on the thigh market conditions and the supporting pressure position data, calculating the supporting pressure position intensity score and the 10-day-touch performance and taking the score and the 10-day-touch performance as the supporting pressure position evaluation index;
and the front-end line drawing display function module is connected with the strand supporting and pressing position strength calculation module and is used for marking corresponding supporting positions and pressure positions on the strand K line graph and displaying related indexes.
The device for realizing calculation processing aiming at the thigh bracing pressure position based on computer software is mainly characterized by comprising the following components:
a processor configured to execute computer-executable instructions;
a memory storing one or more computer-executable instructions that, when executed by the processor, perform the steps of the above-described method for implementing a femoral support pressure calculation process based on computer software.
The processor for implementing calculation processing for individual thigh support pressure bits based on computer software is mainly characterized in that the processor is configured to execute computer-executable instructions, and the computer-executable instructions, when executed by the processor, are used for implementing the steps of the above method for implementing calculation processing for individual thigh support pressure bits based on computer software.
The computer-readable storage medium is mainly characterized by storing a computer program thereon, wherein the computer program can be executed by a processor to realize the steps of the method for realizing the calculation processing of the individual thigh support pressure position based on the computer software.
The method, the system, the device, the processor and the computer readable storage medium thereof are used for realizing the calculation processing of the individual stock supporting pressure position based on computer software, and apply a chip distribution theory, carry out weighting statistics on the nearly 90-day-by-day trading data of the individual stock day by day according to the principle of price, quantity and hand-changing rate, calculate a supporting area and a pressure area with intensive chip hand-changing, draw lines on a K line of the individual stock to visually reveal the supporting position and the pressure position, assist investors in stock trading decision, judge stock trends and provide reference suggestions of buying and selling points of the individual stock. Therefore, the technical problem to be solved by the scheme is the current situation that the existing stock software is too strong in specialty and difficult to use, and the patent content just provides a solution which can be realized.
Drawings
Fig. 1 is a flowchart of a method for implementing a calculation process of a thigh support pressure position based on computer software according to the present invention.
Fig. 2 is a diagram showing the effect of functional modules drawn at the front end of the system for performing calculation processing on a femoral support pressure position based on computer software according to the present invention.
Detailed Description
In order to more clearly describe the technical contents of the present invention, the following further description is given in conjunction with specific embodiments.
The invention discloses a method for realizing calculation processing of a thigh supporting pressure position based on computer software, which comprises the following steps:
(1) the individual stock market data acquisition module is used for acquiring relevant individual stock market data to be used for calculating the distribution of individual stock chips;
(2) the individual stock chip distribution calculating module is used for weighting and counting the chip distribution of the individual stock day by day for the close 90-day individual stock transaction data;
(3) the individual thigh supporting pressure position calculation module is used for calculating an intensive intersection area, a supporting position and a pressure position of each thigh based on the chip distribution data;
(4) the individual thigh supporting pressure position intensity calculating module is used for counting the rising and falling performance of the individual thigh after the individual thigh is touched with the supporting pressure position or the pressure position based on the individual thigh market and the supporting pressure position data, calculating the supporting position or pressure position intensity score and the 10-day performance of touching for the time, and taking the score as the supporting pressure position evaluation index;
(5) and drawing a line at the front end to show the functional module, marking a corresponding supporting position and a corresponding pressure position on the line graph of the strand K, and showing related indexes.
As a preferred embodiment of the present invention, the step (2) specifically comprises the following steps:
(2.1) summarizing and summing up the transaction amount corresponding to each transaction price on the current day of each stock according to transaction data one by one to obtain (transaction price P)t,iAmount of transaction Vt,i) Sequence of which Pt,iRepresenting the transaction price of the ith transaction gear on the t days of each stock; vt,iRepresenting the transaction amount corresponding to the ith transaction gear of the t days of each stock; t represents the transaction day; i represents the grade number of the price-making level;
(2.2) calculating the pre-complex weight coefficient w of each strand according to the weight division information division datax；
(2.3) calculating the daily handoff rate H of each stock according to the stock book and the market datat；
(2.4) according to the strand nearly 90 crossesYiri's valence P't,iQuantity Vt,iAnd hand-changing rate Ht", weighted statistics of the cumulative chip price sequences for each stock on the day [ (P)j,Vj)]Wherein P isjFor all bargain prices, V, of nearly 90 days per stockjAccumulating the transaction amount for the corresponding price according to the conversion rate;
(2.5) maximum price point P based on personal stock day historical chip price value sequencemaxAnd minimum valence PminDividing Price interval Price of 100 gradeskCalculating chip distribution [ (Price) of each Price intervalk,Chipk)]；
And (2.6) landing the individual strand chip distribution data to a database.
As a preferred embodiment of the present invention, the pre-duplication weight coefficient w of each strand is calculated in the step (2.2)xThe method specifically comprises the following steps:
calculating the pre-complex weight coefficient w of each strand according to the following formulax：
Wherein, the x day of each stock is the dividend and interest removing day, and the x +1 day is the stock right registration day.
As a preferred embodiment of the present invention, in the step (2.3), the daily rate of stock change H is calculatedtThe method specifically comprises the following steps:
calculating the daily handoff rate H of each stock according to the following formulat：
As a preferred embodiment of the present invention, the step (3) specifically comprises the following steps:
(3.1) smoothing the original chip distribution of the current day according to a moving average method;
(3.2) obtaining local maximum value points of the chip distribution according to the smooth lines of the chip distribution;
(3.3) arranging the local maximum value points in descending order according to the smooth traffic;
(3.4) calculating a dense intersection region, solving the sum of the smooth intersection quantities of all windows by using a sliding window method, performing descending order arrangement, and screening out a region which has enough sum of the smooth intersection quantities and at least comprises one local extreme point;
(3.5) judging the type of the maximum dense transaction area, and if the dense transaction area contains the current price, defining the type as a dense area; if the dense intersection region is above the current price, it is defined as a "pressure region"; if the dense bargaining region is below the current price, defining the dense bargaining region as a 'supporting region';
(3.6) collecting other dense transaction areas according to the type of the maximum dense transaction area;
(3.7) outputting a support position and a pressure position, wherein the support position is the price corresponding to the smooth traffic maximum value in the support area, and the pressure position is the price corresponding to the smooth traffic maximum value in the pressure area;
(3.8) carrying out iterative update calculation on the bracing and pressing position;
and (3.9) landing the data of the thigh support compression position to a database.
As a preferred embodiment of the present invention, the step (3.6) specifically comprises the following steps:
(3.6.1) judging whether the type of the maximum dense intersection area is a dense area, if so, continuing (3.6.2); if the type of the maximum dense intersection zone is a pressure zone, continuing (3.6.3); otherwise, continue (3.6.4);
(3.6.2) searching a new dense transaction area above the price upper bound of the dense area, and defining the new dense transaction area as a pressure area; a new dense transaction area is searched below the price lower bound of the dense area and is defined as a support area;
(3.6.3) finding a new dense transaction area below the lower price limit of the pressure area and judging the type of the area;
(3.6.4) finding a new dense deal area above the upper price limit of the holding area and determining the type of the area.
As a preferred embodiment of the present invention, the step (4) of calculating the bracing position strength score specifically comprises:
calculating the bracing pressure position strength score according to the following formula:
support position strength score ═ support position success rate × 0.2+ support position reversal rate × 0.7+ support position chip concentration rate × 0.1 × 100.
As a preferred embodiment of the present invention, the calculating of the pressure level intensity score in step (4) specifically includes:
calculating a pressure potential intensity score according to the following formula:
pressure bit intensity score ═ pressure bit success rate × 0.2+ pressure bit reversal rate × 0.7+ pressure bit chip concentration × 0.1 × 100.
As a preferred embodiment of the present invention, the performance of the touch screen for the next 10 days in the step (4) is calculated, specifically:
and counting the rising times, falling times and average rising and falling amplitudes of the price of each stock in the last 250 transaction days after the price of each stock reaches the support position or the pressure position every time 10 days.
As a preferred embodiment of the present invention, the step (5) specifically comprises the following steps:
(5.1) calling individual strand detail data in the propping-compression data base;
and (5.2) marking corresponding support positions and pressure positions on a stock K line graph of the trading software, displaying relevant indexes and assisting the stock trading decision of investors.
The invention relates to a system for carrying out calculation processing on a thigh supporting pressure position based on computer software, which comprises:
the individual stock market data acquisition module is used for acquiring relevant individual stock market data for calculating the distribution of individual stock chips;
the individual stock chip distribution calculating module is connected with the individual stock market data collecting module and is used for weighting and counting the individual stock chip distribution day by day for the close 90-day individual stock transaction data;
the individual thigh supporting pressure position calculation module is connected with the individual thigh chip distribution calculation module and is used for calculating an intensive intersection area, a supporting position and a pressure position of each thigh based on chip distribution data;
the thigh supporting pressure position intensity calculation module is connected with the thigh supporting pressure position calculation module and used for counting rising and falling performances after the history of the thighs touch the supporting pressure position based on the thigh market conditions and the supporting pressure position data, calculating the supporting pressure position intensity score and the 10-day-touch performance and taking the score and the 10-day-touch performance as the supporting pressure position evaluation index;
and the front-end line drawing display function module is connected with the strand supporting and pressing position strength calculation module and is used for marking corresponding supporting positions and pressure positions on the strand K line graph and displaying related indexes.
As a preferred embodiment of the present invention, the apparatus for implementing calculation processing for each femoral support pressure position based on computer software includes:
a processor configured to execute computer-executable instructions;
a memory storing one or more computer-executable instructions that, when executed by the processor, perform the steps of the above-described method for implementing a femoral support pressure calculation process based on computer software.
As a preferred embodiment of the present invention, the processor for implementing calculation processing for individual thigh support pressure bits based on computer software is configured to execute computer-executable instructions, and when the computer-executable instructions are executed by the processor, the processor is configured to implement the steps of the above method for implementing calculation processing for individual thigh support pressure bits based on computer software.
As a preferred embodiment of the present invention, the computer-readable storage medium has stored thereon a computer program which can be executed by a processor to implement the steps of the above-mentioned method for implementing the individual thigh support pressure calculation processing based on computer software.
In the specific embodiment of the present invention, as shown in fig. 1, a design idea of a method for calculating a strut compression position based on a computer software system is implemented, and the specific implementation flow is as follows:
1. and the individual stock market data acquisition module acquires relevant individual stock market data from the exchange and the Wande two data sources for calculating the individual stock chip distribution.
2. And the individual stock chip distribution calculation module is used for weighting and counting the individual stock chip distribution day by day according to the price, quantity and hand-changing rate principle on the close 90-day individual stock transaction data.
3. And the individual thigh supporting pressure position calculating module is used for calculating the dense intersection forming area, the supporting position and the pressure position of each thigh based on the chip distribution data.
4. And the individual thigh supporting pressure position intensity calculating module is used for counting the rising and falling performance of the individual thigh after the individual thigh history touches the supporting pressure position based on the individual thigh market and the supporting pressure position data, and calculating the supporting pressure position intensity score and the 10-day performance of the touching pressure position as the supporting pressure position evaluation index.
5. The front end draws a line to show a functional module, marks corresponding support positions and pressure positions on a stock K line graph of trading software (PC, APP and H5), and shows related indexes to assist investors in stock trading decision making.
The specific implementation method comprises the following steps:
one, one stock market data acquisition module
Relevant individual stock market data is obtained from the exchange and the two data sources for individual stock chip distribution calculation. The data collected includes:
1. exchange data source
1. The data of each stock and each stroke of transaction comprises the following main fields: trade date, stock code, time of transaction, price of transaction, number of transactions;
2. wande data source
1. The individual share weight information-dividing data comprises the following main fields: the rights removal and interest removal date, the stock rights registration date, the stock codes, the interest of each stock, the stock sending proportion, the conversion and increase proportion, the stock allocation proportion and the stock allocation price;
2. the individual stock market data, the main fields include: trade date, stock code, number of trades, yesterday closing price, closing price;
3. individual stock book data, the main fields include: trade date, stock code, number of circulating shares;
two, one-strand chip distribution calculating module
And (3) weighting and counting the chip distribution of each stock day by day according to the price, quantity and hand-changing rate principle for the close 90-day transaction data of each stock, and landing on a database. The calculation steps are as follows:
1. according to the transaction data, the transaction amounts corresponding to the transaction price points of the current day of each stock are collected and summed to obtain a transaction price point Pt,iAmount of transaction Vt,i) The sequence is as follows: [ (P)t,1,Vt,1),(Pt,2,Vt,2),…,(Pt,i,Vt,i)]。
Wherein, Pt,iRepresenting the transaction price of the ith transaction gear on the t days of each stock; vt,iRepresenting the transaction amount corresponding to the ith transaction gear of the t days of each stock; t represents a trading day (t is 1,2, …,90), i.e. t is 1 represents the latest 1 trading day, and t is 90 represents the 90 th trading day closest to the stock; i represents the grade number of the price of the finished deal, and the value range of i depends on the actual finished deal of a specific stock for t days;
2. calculating the pre-complex weight coefficient w of each strand according to the weight-dividing and information-dividing datax。
If x day of each stock is a dividend interest-removing day and x +1 day is a stock right registration day (a trading day before the dividend interest-removing day), the stock needs to be (not) at the previous (trading price P) of x days of the stockt,iAmount of transaction Vt,i) The sequence is subjected to pre-copyright processing to obtain a new (trading price P't,iAmount of transaction Vt,i) The sequence is as follows: [ (P't,1,Vt,1),(P′t,2,Vt,2),…,(P′t,i,Vt,i)]，
Wherein:
3. calculating the daily hand-off rate H of each stock according to the stock book and the market datat。
4. Price P 'according to each stock of approximately 90 trading days't,iQuantity Vt,iAnd hand-changing rate Ht", weighted statistics of the cumulative chip price sequences for each stock on the day [ (P)j,Vj)]，PjFor all bargain prices, V, of nearly 90 days per stockjThe value range of the gear number j is determined according to the actual bargaining of a specific stock for the accumulated bargaining amount of the corresponding price converted according to the hand-changing rate.
Wherein, Pj＝Pt,i。
5. According to the historical chip price sequence of the current day of the personal stock [ (P)j,Vj)]Maximum valence (P) ofmax) And minimum price (P)min) Dividing Price interval Price of 100 gradeskI.e. the spacing of each price interval (P)max-Pmin) 100, minimum spacing unit is 0.01 yuan. If the interval of 100 gears is not enough, the number of gears is calculated. Calculating chip distribution [ (Price) of each Price intervalk,Chipk)]Namely the proportion of the interval chip amount of each price interval to the total amount of each stock of chips,
wherein n satisfies Pricek≤Pn＜Pricek+1。
6. And (4) landing the individual chip distribution data on a database.
Three, one thigh props and presses position calculation module
Based on chip distribution data, calculating a dense intersection area, a support position and a pressure position of each strand, wherein the specific algorithm realizes the logic as follows:
1. the chip distribution of the current day's origin is smoothed by a moving average method (smoothing window m, smoothing number n).
2. And obtaining local maximum value points of the chip distribution according to the smooth lines of the chip distribution.
3. And (4) arranging the local maximum points in descending order according to the smooth traffic, and if the distance between the two maximum points is less than a given threshold value theta, removing one point with lower intensity and keeping the point with higher intensity.
4. And calculating a dense intersection area. And (4) solving the sum of the smooth intersection quantities of all windows by using a sliding window method (the width of a given window is lambda), and then performing descending arrangement. And screening out the area which has enough sum of the smoothed traffic and at least comprises one local extreme point. The window with the overlapped part needs to be removed, and the window with relatively large transaction amount is reserved.
5. Judging the type of the maximum dense intersection area:
(1) if the dense transaction area contains the current price, it is defined as a dense area "
(2) If the dense traffic region is above the current price, it is defined as a "pressure region"
(3) If the dense traffic zone is below the current price, it is defined as a "holding zone"
6. Collecting other dense transaction areas
Discussion of the three cases
(1) If the type of the maximum dense transaction area is 'dense area'
(1.1) searching a new dense transaction area above the price upper bound of the dense area, if so, defining the area as a 'pressure area'
(1.2) searching a new dense transaction area below the price lower bound of the dense area, if so, defining the new dense transaction area as a 'support area'
(1.3) outputting a dense area, a pressure area and a support area, and finishing the algorithm
(2) If the type of the maximum dense traffic region is "pressure region"
And searching a new dense transaction area below the lower limit of the price of the pressure area, and judging the type of the area until an area with the type not being a pressure area is found or an area meeting the conditions cannot be found.
Discussion is divided into three cases:
(2.1) finding no dense intersection region meeting the conditions, outputting a pressure region, and finishing the algorithm
(2.2) the type of the dense intersection region satisfying the conditions is 'support region', output pressure region and support region, and the algorithm is ended
(2.3) the type of the dense transaction area meeting the condition is 'dense area', a new dense transaction area is searched below the price lower bound of the dense area, if the type of the dense transaction area meets the condition, the dense transaction area is defined as 'support area', a pressure area, a dense area and a support area are output, and the algorithm is ended
(3) The type of the maximum dense traffic area is 'support area'
And searching a new dense transaction area above the price upper limit of the support area, and judging the type of the area until an area with the type not being the support area is found or an area meeting the conditions cannot be found.
Discussion is divided into three cases:
(3.1) finding no dense intersection region meeting the conditions, outputting a support region, and finishing the algorithm
(3.2) the type of the dense intersection region satisfying the conditions is 'pressure region', the support region and the pressure region are output, and the algorithm is ended
(3.3) the type of the dense transaction area meeting the condition is 'dense area', a new dense transaction area is searched above the price upper bound of the dense area, if the type of the dense transaction area meets the condition, the new dense transaction area is defined as 'pressure area', a support area, the dense area and the pressure area are output, and the algorithm is ended
7. Output support and pressure level
A supporting position: taking the price corresponding to the maximum value point of the smooth traffic volume in the supporting area
Pressure level: taking the price corresponding to the maximum value point of the smooth traffic volume in the pressure area
8. Iterative update calculation of strut pressure bits
(1) Let i equal to 1
(2) Day t, calculating the density position, support position and pressure position of day
(3) On the day of t + i, judging whether the current price is at the upper-passing dense position or the pressure position or at the lower-passing dense position or the support position
(4) If the judgment is yes
Let t equal t + i, jump back to step (1)
(5) If the judgment is no
Let i equal i +1, judge whether i equals 10
(6) If the judgment is yes
Let t equal t + i, jump back to step (1)
(7) If the judgment is no
Make i equal to i +1, jump back to step (3)
9. And (5) landing the data of the thigh support pressure bit on the database.
Four, one thigh props and presses position intensity calculation module
And (3) counting the rise and fall performance of the individual thigh after the individual thigh is historically touched with the support position or the pressure position based on the individual thigh market and the pressure-supporting position data, and calculating the pressure-supporting position strength score and the 10-day performance of the touch time as the evaluation index of the individual thigh pressure-supporting position.
1. And (3) intensity scoring: the probability that the price trend of the stock is reversed after each time the stock price touches the supporting position or the pressure position in the last 250 transaction days is pointed out. The higher the intensity score, the greater the probability and magnitude of inversion.
(1) Support position strength score ═ support position success rate × 0.2+ support position reversal rate × 0.7+ support position chip concentration rate × 0.1 × 100
Wherein:
(1.1) the success rate of the supporting bits is the number of historical supporting bit breakage failures of each strand/the number of historical supporting bits of each strand// annotate: the failure of the support position to fall out means that the closing price of the support position is more than the support position price multiplied by 0.975 within 10 days after the update of the support position
(1.2) the supporting position reversal rate ═ number of times (the highest stock price is greater than the supporting position price x 1.06 in n days after the touching zone)// note 1: support position contact zone refers to: support price x 0.975< day closing price < support price x 1.025// bet 2: n is the number of days of the transaction day before the next touch interval, for example, the first day of each stock touches the interval, and then the fourth day touches the interval again, so that n is 3; nmax is not more than 10
(1.3) support position chip concentration ═ minimum amount of money in the chip distribution smooth line-minimum amount of money in the chip distribution smooth line)/(maximum amount of money in the chip distribution smooth line-minimum amount of money in the chip distribution smooth line)
(2) Pressure bit intensity score ═ pressure bit success rate × 0.2+ pressure bit reversal rate × 0.7+ pressure bit chip concentration × 0.1 × 100
Wherein:
(2.1) pressure bit success rate is the number of historical pressure bit breakthrough failures per one strand/number of historical pressure bits per one strand// notes: the pressure level fails to break through, and the closing price is less than the pressure level price multiplied by 1.025 within 10 days after the pressure level is updated
(2.2) the pressure bit reversal rate (the lowest stock price within n days after the touch interval is less than the pressure bit price x 0.94)/(/ pressure bit touch interval total times// note 1: pressure bit touch interval means: pressure bit price x 0.975< closing price on day < pressure bit price x 1.025///note 2: n is the number of days of the trade before the next touch interval
(2.3) pressure position chip concentration ═ pressure position volume of bargaining chip distribution smooth line-minimum volume of bargaining chip distribution smooth line)/(maximum volume of bargaining chip distribution smooth line-minimum volume of bargaining chip distribution smooth line)
2. The 10-day performance of touch: and counting the rising times, falling times and average rising and falling amplitudes of the price of each stock in the last 250 transaction days after the price of each stock reaches the support position or the pressure position every time 10 days.
Wherein:
(1.1) support bit reversal amplitude: the highest rise of the last n days after touch, i.e. (highest stock price within n days after touch/closing price on the day) 1 is counted
(1.2) pressure bit reversal drop amplitude: counting the highest fall amplitude of the last n days after touch, namely (the lowest stock price within n days after touch/closing price on the day) 1
Fifth, front end line drawing display function module
1. And calling individual stock detail data in the propping data database, wherein the individual stock detail data comprise historical propping positions, intensity scores, rising/falling times of the next 10 days, rising/falling amplitude of the next 10 days and the like.
2. Corresponding support positions and pressure positions are marked on a stock K line graph of trading software (PC, APP and H5), and relevant indexes are displayed to assist investors in stock trading decision making. The specific effect diagram is shown in fig. 2.
For a specific implementation of this embodiment, reference may be made to the relevant description in the above embodiments, which is not described herein again.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.
It should be noted that the terms "first," "second," and the like in the description of the present invention are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Further, in the description of the present invention, the meaning of "a plurality" means at least two unless otherwise specified.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by suitable instruction execution devices. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware that is related to instructions of a program, and the program may be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a separate product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The method, the system, the device, the processor and the computer readable storage medium thereof are used for realizing the calculation processing of the individual stock supporting pressure position based on computer software, and apply a chip distribution theory, carry out weighting statistics on the nearly 90-day-by-day trading data of the individual stock day by day according to the principle of price, quantity and hand-changing rate, calculate a supporting area and a pressure area with intensive chip hand-changing, draw lines on a K line of the individual stock to visually reveal the supporting position and the pressure position, assist investors in stock trading decision, judge stock trends and provide reference suggestions of buying and selling points of the individual stock. Therefore, the technical problem to be solved by the scheme is the current situation that the existing stock software is too strong in specialty and difficult to use, and the patent content just provides a solution which can be realized.
In this specification, the invention has been described with reference to specific embodiments thereof. It will, however, be evident that various modifications and changes may be made thereto without departing from the broader spirit and scope of the invention. The specification and drawings are, accordingly, to be regarded in an illustrative rather than a restrictive sense.
Claims (14)
1. A method for realizing the calculation processing of the individual thigh bracing pressure position based on computer software is characterized by comprising the following steps:
(1) the individual stock market data acquisition module is used for acquiring relevant individual stock market data to be used for calculating the distribution of individual stock chips;
(2) the individual stock chip distribution calculating module is used for weighting and counting the chip distribution of the individual stock day by day for the close 90-day individual stock transaction data;
(3) the individual thigh supporting pressure position calculation module is used for calculating an intensive intersection area, a supporting position and a pressure position of each thigh based on the chip distribution data;
(4) the individual thigh supporting pressure position intensity calculating module is used for counting the rising and falling performance of the individual thigh after the individual thigh is touched with the supporting pressure position or the pressure position based on the individual thigh market and the supporting pressure position data, calculating the supporting position or pressure position intensity score and the 10-day performance of touching for the time, and taking the score as the supporting pressure position evaluation index;
(5) and drawing a line at the front end to show the functional module, marking a corresponding supporting position and a corresponding pressure position on the line graph of the strand K, and showing related indexes.
2. The method for realizing the calculation processing of the individual thigh supporting pressure position based on the computer software as claimed in claim 1, wherein the step (2) specifically comprises the following steps:
(2.1) summarizing and summing up the transaction amount corresponding to each transaction price on the current day of each stock according to transaction data one by one to obtain (transaction price P)t,iAmount of transaction Vt,i) Sequence of which Pt,iRepresenting the transaction price of the ith transaction gear on the t days of each stock; vt,iRepresenting the transaction amount corresponding to the ith transaction gear of the t days of each stock; t represents the transaction day; i represents the grade number of the price-making level;
(2.2) calculating the pre-complex weight coefficient w of each strand according to the weight division information division datax；
(2.3) calculating the daily handoff rate H of each stock according to the stock book and the market datat；
(2.4) price P 'according to stock of nearly 90 trade days't,iQuantity Vt,iAnd hand-changing rate Ht", weighted statistics of the cumulative chip price sequences for each stock on the day [ (P)j,Vj)]Wherein P isjFor all bargain prices, V, of nearly 90 days per stockjAccumulating the transaction amount for the corresponding price according to the conversion rate;
(2.5) maximum price point P based on personal stock day historical chip price value sequencemaxAnd minimum valence PminDividing Price interval Price of 100 gradeskCalculating chip distribution [ (Price) of each Price intervalk,Chipk)]；
And (2.6) landing the individual strand chip distribution data to a database.
3. The method for realizing the calculation process of the strut pressure of each strand based on the computer software as claimed in claim 2, wherein the step (2.2) is performed to calculate the pre-weight coefficient w of each strandxThe method specifically comprises the following steps:
calculating the pre-complex weight coefficient w of each strand according to the following formulax：
Coefficient of previous complex weight
Wherein, the x day of each stock is the dividend and interest removing day, and the x +1 day is the stock right registration day.
4. The method for realizing the calculation process of the thigh supporting pressure position based on the computer software as claimed in claim 2, wherein the daily handoff rate H of each thigh t is calculated in the step (2.3)tThe method specifically comprises the following steps:
calculating the daily handoff rate H of each stock according to the following formulat：
5. The method for realizing the calculation processing of the individual thigh supporting pressure position based on the computer software as claimed in claim 1, wherein the step (3) specifically comprises the following steps:
(3.1) smoothing the original chip distribution of the current day according to a moving average method;
(3.2) obtaining local maximum value points of the chip distribution according to the smooth lines of the chip distribution;
(3.3) arranging the local maximum value points in descending order according to the smooth traffic;
(3.4) calculating a dense intersection region, solving the sum of the smooth intersection quantities of all windows by using a sliding window method, performing descending order arrangement, and screening out a region which has enough sum of the smooth intersection quantities and at least comprises one local extreme point;
(3.5) judging the type of the maximum dense transaction area, and if the dense transaction area contains the current price, defining the type as a dense area; if the dense intersection region is above the current price, it is defined as a "pressure region"; if the dense bargaining region is below the current price, defining the dense bargaining region as a 'supporting region';
(3.6) collecting other dense transaction areas according to the type of the maximum dense transaction area;
(3.7) outputting a support position and a pressure position, wherein the support position is the price corresponding to the smooth traffic maximum value in the support area, and the pressure position is the price corresponding to the smooth traffic maximum value in the pressure area;
(3.8) carrying out iterative update calculation on the bracing and pressing position;
and (3.9) landing the data of the thigh support compression position to a database.
6. The method for realizing the calculation processing of the individual thigh supporting pressure position based on the computer software as claimed in claim 5, wherein the step (3.6) comprises the following steps:
(3.6.1) judging whether the type of the maximum dense intersection area is a dense area, if so, continuing (3.6.2); if the type of the maximum dense intersection zone is a pressure zone, continuing (3.6.3); otherwise, continue (3.6.4);
(3.6.2) searching a new dense transaction area above the price upper bound of the dense area, and defining the new dense transaction area as a pressure area; a new dense transaction area is searched below the price lower bound of the dense area and is defined as a support area;
(3.6.3) finding a new dense transaction area below the lower price limit of the pressure area and judging the type of the area;
(3.6.4) finding a new dense deal area above the upper price limit of the holding area and determining the type of the area.
7. The method for realizing individual thigh bracing position calculation processing based on computer software according to claim 1, wherein the step (4) of calculating the bracing position strength score specifically comprises:
calculating the bracing pressure position strength score according to the following formula:
support position strength score ═ support position success rate × 0.2+ support position reversal rate × 0.7+ support position chip concentration rate × 0.1 × 100.
8. The method for realizing the calculation processing of the individual femoral support pressure position based on the computer software according to claim 1, wherein the calculating of the pressure position strength score in the step (4) is specifically as follows:
calculating a pressure potential intensity score according to the following formula:
pressure bit intensity score ═ pressure bit success rate × 0.2+ pressure bit reversal rate × 0.7+ pressure bit chip concentration × 0.1 × 100.
9. The method for realizing the calculation processing of the femoral support pressure position based on the computer software as claimed in claim 1, wherein the step (4) of calculating the expression of the touchdown times for 10 days comprises:
and counting the rising times, falling times and average rising and falling amplitudes of the price of each stock in the last 250 transaction days after the price of each stock reaches the support position or the pressure position every time 10 days.
10. The method for realizing the calculation processing of the individual thigh supporting pressure position based on the computer software as claimed in claim 1, wherein the step (5) specifically comprises the following steps:
(5.1) calling individual strand detail data in the propping-compression data base;
and (5.2) marking corresponding support positions and pressure positions on a stock K line graph of the trading software, displaying relevant indexes and assisting the stock trading decision of investors.
11. A system for performing calculation processing for each femoral support pressure position based on computer software for implementing the method of claim 1, wherein the system comprises:
the individual stock market data acquisition module is used for acquiring relevant individual stock market data to be used for calculating the distribution of individual stock chips;
the individual stock chip distribution calculating module is connected with the individual stock market data collecting module and is used for weighting and counting the individual stock chip distribution day by day for the close 90-day individual stock transaction data;
the individual thigh supporting pressure position calculation module is connected with the individual thigh chip distribution calculation module and is used for calculating an intensive intersection area, a supporting position and a pressure position of each thigh based on chip distribution data;
the thigh supporting pressure position intensity calculation module is connected with the thigh supporting pressure position calculation module and used for counting rising and falling performances after the history of the thighs touch the supporting pressure position based on the thigh market conditions and the supporting pressure position data, calculating the supporting pressure position intensity score and the 10-day-touch performance and taking the score and the 10-day-touch performance as the supporting pressure position evaluation index;
and the front-end line drawing display function module is connected with the strand supporting and pressing position strength calculation module and is used for marking corresponding supporting positions and pressure positions on the strand K line graph and displaying related indexes.
12. An apparatus for implementing calculation processing for each femoral support pressure position based on computer software, the apparatus comprising:
a processor configured to execute computer-executable instructions;
a memory storing one or more computer-executable instructions that, when executed by the processor, perform the steps of the method of implementing individual strut compression calculation processing based on computer software according to any one of claims 1 to 10.
13. A processor for implementing a calculation process for individual strut pressure bits based on computer software, wherein the processor is configured to execute computer-executable instructions, which when executed by the processor, implement the steps of the method for implementing a calculation process for individual strut pressure bits based on computer software according to any one of claims 1 to 10.
14. A computer-readable storage medium, having stored thereon a computer program executable by a processor to perform the steps of the method of any one of claims 1 to 10 for implementing a process for calculating an individual strut compression ratio based on computer software.
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