CN113590671A - OHLC graph method for dynamic quantity index display analysis - Google Patents
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Abstract
The dynamic characteristic of the quantity index is obtained by analyzing the geometrical characteristics of the OHLC diagram through manual work or computer software by calculating the current-period opening value, the current-period closing value, the current-period low value and the current-period high value of the dynamic quantity index aiming at each statistical period of the dynamic quantity index needing to be analyzed and drawing the values on the OHLC diagram in the forms of a candle diagram, a bar diagram and the like, and then analyzing rules including notch prediction, potential drop prediction, potential rise prediction, fixed-point analysis and other analysis, so that corresponding business operation suggestions, such as increment business operation, decrement business operation and other appropriate business operations, are made.
Description
Technical Field
The invention relates to the technical field of data arrangement, analysis and display of non-price dynamic quantity indexes by applying big data and edge computing technology in business scenes such as manufacturing, inventory, finance, marketing and the like, in particular to a dynamic quantity index display analysis method based on an OHLC (OHLC chart);
background
In actual life, a plurality of quantity indexes are dynamically changed, such as a warehouse goods in-out quantity index, a hospital inpatient and discharge population quantity index, a sales company purchase and sales quantity index, an institution/individual daily financial income and expenditure quantity index and the like, and for the changed quantity indexes, tables such as a deposit, a purchase and sales deposit, a cash flow and the like are commonly used for displaying the quantity (balance) of the beginning, the increase, the decrease and the end of the period, or the quantity change condition is displayed by adopting a graphic mode such as a broken line graph and the like;
the form is complete in information but not intuitive; although the graph can visually show the change of the quantity index, the graph can only show the change of the balance generally, and cannot show the added value, the reduced value and the like; while the beginning, increasing, decreasing, end numbers can be represented simultaneously with multiple fold lines or multiple fold lines, the management issues implied therein are difficult to observe and analyze;
for example: 100 raw materials in a certain raw material warehouse at the beginning of a certain month, 30 raw materials in the month and 120 raw materials in the month are received, the quantity of the raw materials in the end of the month is 10 raw materials in the initial inventory at the beginning of the month plus the quantity of the raw materials in the month, and the quantity of the raw materials in the month is seemingly guaranteed to be supplied; however, if the 120 pieces of goods are received in the first half month and the 30 pieces of goods are received in the second half month, the stock of the materials may be 0 before and after the month, and the lack of the goods is not guaranteed; therefore, the material has the risk of out-of-stock, but the risk cannot be found on the form and the line graph;
the following steps are repeated: 3,000 beds are available in a certain hospital, 300 beds are available in one night at present, 500 newly inpatients and 400 patients are discharged on the same day, the available beds are available in the same day, the number of the newly inpatients and the number of the discharged patients are 200, and the bed is still sufficient on the surface; however, if 500 newly-increased hospitalizations are all concentrated in the morning and 200 discharged hospitalizations are all concentrated in the afternoon, the risk that the patient cannot be hospitalized due to the fact that no vacant bed is available around the noon may occur; however, the risk cannot be found on the table and the line graph;
in the occasion of analyzing prices of stocks, futures and the like, an OHLC (open price), a bar graph and the like are often used for geometrically displaying the open price (open price), the close price (close price), the highest price (high price) and the lowest price (low price), and the price analysis technology is introduced into the technical field of quantity index arrangement and display by establishing the calculation relationship between the quantity value and the price value, so that the problem of revealing the inherent characteristics of the quantity is solved;
disclosure of Invention
The invention aims to provide an intuitive dynamic quantity index characteristic analysis method;
the technical scheme adopted by the invention is as follows:
referring to fig. 1: OHLC chart method flow chart of dynamic quantity index display analysis
(1) Quantity index data collection
Firstly, calculating the current-period opening, current-period closing, current-period low and current-period high values of the quantity indexes aiming at each statistical period of the dynamic quantity indexes needing to be analyzed;
the calculation mode of each data is as follows:
A. the current-period opening is the current-period initial value of the quantity index, such as: day 00: 00: isolated at time 00, day 1 of the month 00: 00: inventory at time 00, 1 month and 1 day of the year 00: 00: bank account balance at time 00;
B. the current-period closing is the current-period end value of the quantity index, such as: the day is 24: 00: isolated hospital at time 00, end of month 24: 00: stock at time 00, 12 month and 31 day of the year 24: 00: a major account balance at time 00;
C. the current-period end value of the current-period conventional incremental change sum value, wherein the conventional incremental change refers to the incremental value of all conventional services (such as warehousing/warehousing, hospitalizing, receiving/shipping, receiving/paying and the like) of the current-period quantity index, which increases the quantity index;
D. the current-time disc height is the current-time end value of the quantity index + the total value of current-time conventional decrement change, wherein the conventional decrement change refers to the decrement value of the conventional services (such as warehouse-out, discharge, delivery, payment and the like) which reduce the quantity index in all the conventional services of the quantity index;
specifically, the following description is provided: if the services include irregular services such as excess, deficiency, loss and death besides the regular services, the current opening of the disk can be modified as follows: the current-period initial value of the quantity index + the variation of the unconventional service;
(2) quantity index OHLC map
Plotting the above-mentioned values of the quantity index at each period on an OHLC chart, wherein the time-series chart form may be an OHLC chart of a candle form, a bar chart containing or not containing the open-disc value, and other charts containing the disc-high value (H), the disc-low value (L), and the closing value (C), which may or may not contain the open-disc value (O);
(3) quantitative index dynamic behavior analysis and prediction
Analyzing the geometrical characteristics of the OHLC diagram by utilizing an analysis rule through manual work or computer software so as to obtain the dynamic characteristics of the quantity index;
the analysis rules include the following categories:
A. and (3) notch prediction: observing an OHLC diagram, and if a lower hatched line passes through a zero line of a Y axis (usually an X axis or a time axis), indicating that the quantity index has a risk of gaps or braille;
B. and (3) potential reduction prediction: observing the bar-shaped graph, if the phenomena that the total length of upper and lower hatches of n continuous bars is close and the position of a closing value in the upper and lower hatches continuously descends occur, the n bars are called to form a flag descending point, the number index is indicated to have a continuous descending trend in the follow-up process, and n is a preset positive integer;
C. and (3) potential rise prediction: observing the bar-shaped graph, if the phenomena that the total length of upper and lower hatches of n continuous bars is approximate and the position of a closing value in the upper and lower hatches continuously rises appear, the n bars are called as a flag raising point, the number index is indicated to have a continuous rising trend in the follow-up process, and n is a preset positive integer;
D. order point analysis: when the hatching under the OHLC diagram is lower than a certain preset threshold value or a specific proportion of the closing value, the quantity index is indicated to be low in the current stock;
E. other rules for the quantitative index characteristic that can be analyzed based on the geometric features of the OHLC map;
(4) business operation advice
According to the dynamic characteristic of the quantity index, making the following business operation suggestions:
A. when the quantity index has the characteristics of gaps or braille risks, low current stock, descending trend and the like, the incremental business operations of ordering, hastening receiving, loan and the like are adopted;
B. the quantity index has an ascending trend, and reduction business operations such as delivery, capacity expansion, discharge, payment and the like are adopted;
C. other appropriate business operations taken according to the quantity index characteristic;
the invention has the positive effects that: the OHLC graph method for displaying and analyzing the dynamic quantity indexes is utilized, so that the dynamic quantity indexes are visually represented, various quantity index analysis rules are provided, the change characteristics of the dynamic quantity indexes can be more accurately analyzed, more accurate quantity index prediction is made, and more appropriate business operation suggestions are made;
drawings
FIG. 1 is a flow chart of an OHLC chart method for dynamic quantity index display analysis according to the present invention
FIG. 2 is an OHLC diagram showing the number of steel products in a certain warehouse
FIG. 3 is a diagram of the daily existing OHLC diagnosis of the novel pneumonia cases of Sichuan province in accordance with an embodiment of the present invention
FIG. 4 is an OHLC diagram showing the number of existing masks in the warehouse of Chengdu boundary Meta technology Limited company in accordance with an embodiment of the present invention
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer and clearer, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments; it should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the scope of the invention;
the analysis method of the dynamic quantity index OHLC diagram provided by the invention can be applied to various scenes with dynamic quantity index statistical analysis, such as enterprise inventory management, dealer management (purchase, sale and stock), service management (admission, discharge and admission), financial management (balance) and the like;
example 1: referring to fig. 2: the method of the invention analyzes the quantity of the existing certain type of steel in a certain warehouse in 3 months, 11 days and 12 days in 3 months in 2020, and comprises the following steps:
(1) for each statistical period of the dynamic quantity index needing to be analyzed, calculating current-period opening, current-period closing, current-period low and current-period high values of the quantity index, specifically as follows:
the daily check-out time of the warehouse is 23: 00; the initial value of the steel section in the 3-month-11-year 2020 period (the previous day is 3-month-10-day 23: 00 inventory balance) is 108.3 tons, the steel section in the day is 70.6 tons, the steel section in the day is 47.9 tons, no inventory is sufficient and the inventory is insufficient, the final value of the steel section in the day (the steel section inventory balance in the 3-month-11-day 2020-23: 00) is 131(108.3+70.6-47.9+0) tons, the steel section in the 3-month-11-year 2020 is opened 108.3 tons, the steel section in the day is closed 131 tons, the steel section in the day is low to 131-70.6 to 60.4 tons, and the steel section in the day is high to 131+47.9 to 1789 tons;
the initial value of the steel product period (the inventory balance of 23: 00 on the previous day, 11 days on 3 months and 11 days on 2020) is 131 tons, the steel product is delivered by 20 tons on the same day, the steel product is delivered by 49.5 tons, and the steel product is subjected to plate loss by 5 tons, the final value of the steel product period (the inventory balance of the steel product is 23: 00 on 3 months and 12 days on 2020 and 3 months) is 96.5(131+20-49.5-5) tons, the plate opening period of the steel product on 12 days on 2020 and 3 months is 131-5 to 126 tons, the plate closing period is 96.5 tons, the plate low period is 96.5-20 to 76.5 tons, and the plate high period is 96.5+49.5 to 146 tons;
(2) plotting the above-mentioned value of the quantity index on the OHLC chart (in particular, K chart, see FIG. 2)
(3) Analyzing the geometrical characteristics of the OHLC diagram by utilizing an analysis rule and through manual work or computer software so as to obtain the dynamic characteristics of the quantity index, wherein the dynamic characteristics are as follows:
the steel analysis rule of the warehouse is gap prediction, and the dynamic characteristic that the number of the type does not meet the gap prediction is obtained according to the OHLC diagram;
(4) according to the dynamic characteristics of the quantity index, making a corresponding business operation proposal, which is specifically as follows:
no dynamic characteristic meeting the analysis rule exists, and no corresponding business operation suggestion exists;
example 2: referring to fig. 3: the method analyzes the current diagnosis amount of the novel pneumonia cases in Sichuan province from 1 month to 20 days to 3 months to 1 day in 2020, and comprises the following steps:
(1) aiming at each calendar day of the current confirmed diagnosis amount of the novel pneumonia cases in Sichuan province, namely 0 hour to 24 hours per day, calculating the current opening, current closing, current low and current high values of the number index in the following way:
A. opening the disc in the current date, which is 00 in the current day of Sichuan province: 00: the current confirmed diagnosis amount of the novel pneumonia cases at the time of 00-the newly increased death cases of the novel pneumonia in Sichuan province on the same day;
B. the current dish collection is 24 in the current day of Sichuan province: 00: the current diagnosis amount of the novel pneumonia case at the time of 00 hours;
C. the current disc is low as 24 in the current day of Sichuan province: 00: when 00 hours, the new pneumonia case has the existing confirmed diagnosis amount-the new confirmed diagnosis amount of the new pneumonia case in the same day of Sichuan province;
D. disc height in this day is 24 in Sichuan province: 00: the existing confirmed diagnosis amount of the novel pneumonia case at the time of 00 + the cure amount of the novel pneumonia case in the same day of Sichuan province;
specifically, the following takes 2020, 2, 15 days as an example:
the initial value of the current confirmed diagnosis amount of the novel pneumonia cases in Sichuan province in 2, 15 and 2020 (namely 24: 00 of the current confirmed diagnosis amount of the novel pneumonia cases in Sichuan province in 2 and 14 days in 2 and 354+11-12-2) is 354 cases, the current confirmed diagnosis amount of the novel pneumonia cases in Sichuan province in the same day is 11 cases, the current cured cases in 12 cases in newly increased days is 2 cases in newly increased death cases, and the current confirmed diagnosis amount of the novel pneumonia cases in Sichuan province in 2 and 15 days in 2020 (namely 24: 0O of the novel pneumonia cases in Sichuan province in 24 and 15 days in 2020 is 351(354+11-12-2) cases, the current confirmed diagnosis amount of the novel pneumonia cases in Sichuan province in 2 and 15 days in 2020 is 354-2 as 352 cases, the current confirmed diagnosis amount of the novel pneumonia cases in the same day is 351 cases in the same day, the current confirmed diagnosis amount of the novel pneumonia cases in the same day in Sichuan province in the same day is 351 cases in the same day as 351 cases in 351 and is 351 as 351 cases in the same day as 351 and is low as 351+12 as 363;
(2) plotting the above-mentioned value of the quantity index for each period on an OHLC graph (specifically, a bar graph without an opening value, see fig. 3);
(3) analyzing the geometrical characteristics of the OHLC diagram by utilizing an analysis rule and through manual work or computer software so as to obtain the dynamic characteristics of the quantity index, wherein the dynamic characteristics are as follows:
the novel pneumonia in Sichuan province has the existing confirmed diagnosis quantity analysis rule of prediction of tendency reduction every day, wherein a preset positive integer n is 3;
and (3) potential reduction prediction: observing an OHLC diagram, wherein the phenomenon that the total length of upper and lower hatchings of 3 continuous rods is approximate and the position of a closing value continuously descends in the upper and lower hatchings appears between 6 days and 8 days of 2 months and 2020, and the 3 rods are called as 'flag-lowering points' (see red circles in FIG. 3);
(4) according to the dynamic characteristic of the existing confirmed diagnosis amount of the novel pneumonia cases in Sichuan province, a proper business operation suggestion is made, which is concretely as follows:
the existing confirmed diagnosis amount of the novel pneumonia cases in Sichuan province appears as flag-lowering points between 6 days and 8 days of 2 months in 2020, which indicates that the number index may have a continuous descending trend in the follow-up process, so that the 2 months and 8 days can suggest related departments and enterprises in Sichuan province to make a plan of orderly rework;
example 3: referring to fig. 4: the method analyzes the number of the existing masks in the storeroom of boundary Yuan-Tech Limited company from 3 month 2 to 3 month 5 days in 2020, and comprises the following steps:
(1) for each statistical period of the number of the existing masks of the company, namely, from 0 hour to 24 hours a day, calculating the current-period opening disc, current-period closing disc, current-period disc low and current-period disc high values of the number index, specifically as follows:
the calculation mode of each data is as follows:
A. the current day 0: 00: the number of existing masks in the storehouse at the time of 00-the number of masks which are deficient on the day of the company;
B. the current date of the company is 24: 00: the number of existing masks in the storehouse at the time 00;
C. day 24 for this company: 00: the number of existing masks in the warehouse at the time of 00-the number of masks leaving the warehouse of the company on the same day;
D. day 24 for this company: 00: the number of the existing masks in the storehouse at the time of 00 + the number of the warehousing masks of the company on the day;
the method comprises the following specific steps: (Unit: piece)
| Time | Initial value of period | Delivery from warehouse | Put in storage | Discal defect | End of term value | Disc opened at present | The current disc is low | Disc height at present | Collecting disc in |
| 2020/3/2 | 50 | 2 | 0 | 2 | 46 | 48 | 46 | 48 | 46 |
| 2020/3/3 | 46 | 10 | 0 | 1 | 35 | 45 | 35 | 45 | 35 |
| 2020/3/4 | 35 | 25 | 0 | 0 | 10 | 35 | 10 | 35 | 10 |
| 2020/3/5 | 10 | 25 | 50 | 0 | 35 | 10 | -15 | 60 | 35 |
(2) Plotting the above-mentioned value of the quantity index for each period on an OHLC graph (specifically, a K-line graph, see fig. 4);
(3) analyzing the geometrical characteristics of the OHLC diagram by utilizing an analysis rule and through manual work or computer software so as to obtain the dynamic characteristics of the quantity index, wherein the dynamic characteristics are as follows:
OHLC notch prediction: observing the OHLC chart, when the date is 2020/3/5, the lower hatched line passes through a zero line (time axis) of a Y axis (namely, the low value of a current date disc is a negative number), which indicates that the number of the existing masks in the warehouse of the company on the day has a risk of being red or a gap, namely, the mask is possibly insufficiently supplied;
(4) according to the dynamic characteristics of the gaps of the existing mask number of the storehouses of the company, corresponding incremental business operation suggestions are made, and the method specifically comprises the following steps:
the number of the existing masks in the warehouse of the company is 2020/3/5, so that the risk of the declination exists, and the ordering batch or the ordering frequency of the masks is recommended to be improved.
Claims (6)
1. The OHLC graph method for displaying and analyzing the dynamic quantity indexes is characterized by comprising the following steps of:
(1) calculating the current-period opening, current-period closing, current-period low and current-period high values of the quantity indexes aiming at each statistical period of the dynamic quantity indexes needing to be analyzed;
(2) plotting the above-mentioned value of the quantity index for each period on an OHLC graph;
(3) analyzing the geometrical characteristics of the OHLC diagram by utilizing an analysis rule through manual work or computer software so as to obtain the dynamic characteristics of the quantity index;
(4) and making corresponding business operation suggestions according to the dynamic characteristics of the quantity indexes.
2. An OHLC map method for dynamic quantitative index presentation analysis according to claim 1, wherein said step (1) comprises the steps of:
(1) calculating the current-period initial value of the current-period opening-disc-quantity index, such as: day 00: 00: isolated at time 00, day 1 of the month 00: 00: inventory at time 00, 1 month and 1 day of the year 00: 00: bank account balance at time 00;
(2) calculating the current-period end value of the current-period closing-number index, such as: the day is 24: 00: isolated hospital at time 00, end of month 24: 00: stock at time 00, 12 month and 31 day of the year 24: 00: bank account balance at time 00;
(3) calculating the current-period end value of the current-period low-number index-the current-period conventional incremental change total value, wherein the conventional incremental change refers to the incremental value of the conventional services (such as warehousing, hospitalization, receiving and paying, and the like) which increase the number index in all the conventional services (such as warehousing/warehousing, warehousing/hospitalization, receiving and paying, and the like) of the current-period low-number index;
(4) the current-time disc height is the current-time end value of the quantity index + the total value of current-time regular decrement change, wherein regular decrement change refers to the decrement value of all regular businesses (such as warehouse-out, discharge, delivery, payment and the like) of the quantity index, which is reduced by the quantity index.
3. An OHLC graph method for dynamic quantity index presentation analysis according to claim 2, wherein if the services include irregular services such as excess, deficiency, loss, death, etc. in addition to regular services, the current open disk in step (1) can be modified as follows: the current-period initial value of the quantity index + the variation of the unconventional service.
4. An OHLC map method for dynamic quantity index presentation analysis as claimed in claim 1, wherein said OHLC map in step (2) can be a time series map of the following morphology:
(1) OHLC profile of candle morphology;
(2) a bar graph with or without open-disc values;
(3) other patterns contain a disk high value (H), a disk low value (L), and a closing value (C), which may or may not contain an opening value (O).
5. An OHLC graph method for dynamic quantity index presentation analysis according to claim 1, wherein said analysis rule in step (3) comprises the following categories:
(1) and (3) notch prediction: observing an OHLC diagram, and if a lower hatched line passes through a zero line of a Y axis (usually an X axis or a time axis), indicating that the quantity index has a risk of gaps or braille;
(2) and (3) potential reduction prediction: observing the bar-shaped graph, if the phenomena that the total length of upper and lower hatches of n continuous bars is close and the position of a closing value in the upper and lower hatches continuously descends occur, the n bars are called to form a flag descending point, the number index is indicated to have a continuous descending trend in the follow-up process, and n is a preset positive integer;
(3) and (3) potential rise prediction: observing the bar-shaped graph, if the phenomena that the total length of upper and lower hatches of n continuous bars is approximate and the position of a closing value in the upper and lower hatches continuously rises appear, the n bars are called as a flag raising point, the number index is indicated to have a continuous rising trend in the follow-up process, and n is a preset positive integer;
(4) order point analysis: when the hatching under the OHLC diagram is lower than a certain preset threshold value or a specific proportion of the closing value, the quantity index is indicated to be low in the current stock;
(5) other rules that can analyze the resulting quantitative index characteristic based on the geometric features of the OHLC map.
6. An OHLC graph method for dynamic quantity index exposure analysis according to claim 1, wherein said business operations in step (4) comprise the following categories:
(1) when the quantity index has the characteristics of gaps or braille risks, low current stock, descending trend and the like, the incremental business operations of ordering, hastening receiving, loan and the like are adopted;
(2) the quantity index has an ascending trend, and reduction business operations such as delivery, capacity expansion, discharge, payment and the like are adopted;
(3) other appropriate business operations are taken based on the quantity index characteristic.
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| CN104641314A (en) * | 2012-03-22 | 2015-05-20 | 帝威克有限公司 | Computerized internet search system and method |
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