CN114581242A - Financial data processing system and method - Google Patents

Financial data processing system and method Download PDF

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CN114581242A
CN114581242A CN202210477827.6A CN202210477827A CN114581242A CN 114581242 A CN114581242 A CN 114581242A CN 202210477827 A CN202210477827 A CN 202210477827A CN 114581242 A CN114581242 A CN 114581242A
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张国争
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Beijing Zoje Internet Information Technology Co ltd
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Abstract

The invention relates to the technical field of data analysis, and discloses a financial data processing system and a method, wherein the financial data processing system comprises: and the data acquisition module is used for acquiring the stock transaction data. The candle picture constructing module is used for constructing a candle unit picture A according to stock transaction data and training to obtain a candle unit picture lifting mark Ax. And the storage module is used for storing historical stock trading data. And the form analysis module is used for searching the information table according to the stock transaction data to obtain the inversion type and the inversion possibility factor, and finally calculating to obtain the inversion rate. And the stock recommendation module is used for sorting according to the size of the reversal rate and displaying. By evaluating the possible factors and the reversal factors of each candle unimorph, the evaluation is accurate, and the reference and the analysis of customers are convenient. Calculating the standard ratio by the intermediate valueFor example, standard proportions of candle unimorphs can be quantified and analyzed accurately.

Description

Financial data processing system and method
Technical Field
The invention relates to the technical field of data analysis, in particular to a financial data processing system and method.
Background
Stock is a part of the ownership of the shares company and is also an issued ownership certificate, which is a valuable security issued by the shares company to each shareholder as a stock holding certificate for raising funds and thereby obtaining dividends and dividends. Stocks are a long-term credit instrument for capital markets, and can be transferred, bought and sold, and sharers can share profits of companies by using the long-term credit instrument, but also bear risks caused by operation errors of the companies. Each stock represents a shareholder's ownership of a base unit of the enterprise. Each listed company issues stocks.
Most of the individual buying stocks refer to the opinion of the stockbroker or analyze the stock data by oneself, which easily causes the analysis to be wrong and causes the analysis to be inaccurate.
Disclosure of Invention
In order to solve the above technical problem, the present invention provides a financial data processing system, including:
the data acquisition module is used for acquiring stock transaction data;
the candle picture constructing module is used for constructing a candle unit picture A according to stock transaction data and training to obtain a candle unit picture lifting mark Ax；
The storage module is used for storing historical stock trading data;
the form analysis module is used for searching the information table according to the stock transaction data to obtain the inversion type and the inversion possibility factor, and finally calculating to obtain the inversion rate;
and the stock recommendation module is used for sorting according to the size of the reversal rate and displaying.
Preferably: the morphology analysis module includes a candle unimorph analysis module and/or a candle polymorph analysis module.
Preferably: the candle unimorph analysis module comprises a candle unimorph standard construction module, a candle unimorph acquisition module and a unimorph analysis module;
a candle unimorph standard building block for building to obtain a standard range of candle unimorph and a standard center value SCiConstructing a data-single form and standard central value information table;
the candle unimorph acquisition module is used for searching the data-unimorph and standard central value information table according to the stock transaction data to acquire the candle unimorph and standard central value SCi(ii) a And searching a preset form-possible factor information table according to the single form of the candle to obtain the inversion possible factor A of the single form of the candlex i；
A single-state analysis module for training the stock transaction data to obtain the first transaction data corresponding to the standard value and calculating to obtain the standard proportion Pi(ii) a Candle unimorph of calculationRate of reversal
Figure 802776DEST_PATH_IMAGE001
。
Preferably: the calculation method of the standard range of the single morphology of the candle comprises the following steps: calculating the difference value between the opening price, the closing price, the highest price and the lowest price to obtain the entity length, the upper shadow length and the lower shadow length, and setting the ratio range among the entity length, the upper shadow length and the lower shadow length as the standard range.
Preferably: the candle polymorphic analysis module comprises a candle polymorphic standard construction module and a candle polymorphic acquisition module;
the candle polymorphic standard construction module is used for constructing and obtaining the candle polymorphic distribution and the distribution standard value SCijConstructing a distribution-polymorphic and standard value information table;
a candle polymorphic acquisition module for searching the distribution-polymorphic and standard value information table according to a plurality of candle unimorphs to obtain the candle polymorphic and distribution standard value SCij(ii) a And searching a preset form-possible factor information table according to the multiple forms of the candle to obtain the reverse possible factor A of the multiple forms of the candlex ij；
A polymorphic analysis module for training the stock trading data to obtain the second trading data corresponding to the standard value and calculating to obtain the standard proportion PijCalculating the polymorphic reverse rotation rate of the candle
Figure 952128DEST_PATH_IMAGE002
。
Preferably: the financial data processing system further comprises an alarm module, wherein the alarm module is used for judging whether the polymorphic inversion rate of the current stock candle taken in the position is greater than a preset risk standard value, and if so, prompting or alarming is carried out.
Preferably: the risk standard value is judged in a stepped risk grade mode, wherein the judgment is suitable in three levels; judgment GijWhether or not it is greater than a G2If yes, judging as a third-level risk, and alarming; if the result is no, then,then determine if F is greater than a G1If yes, judging as a secondary risk and prompting, and if not, judging as a primary risk and not prompting by alarming; wherein the risk criterion values comprise a first level risk value G1Second degree risk value G2。
The invention also provides a financial data processing method, which comprises the following steps:
s1, obtaining stock trading data;
s2, constructing a candle unit graph A according to stock trading data, and training to obtain a candle unit graph lifting mark Ax；
S3, searching a preset data-morphism and standard central value information table according to the stock transaction data to obtain the candle morphism and standard central value SCi；
S4, searching a preset form-possible factor information table according to the single form of the candle to obtain the reverse possible factor A of the single form of the candlex i；
S5, training the stock trading data to obtain the first trading data corresponding to the standard value, and calculating to obtain the standard proportion Pi；
S6, calculating the monomorphic inversion rate of the candle
Figure 474376DEST_PATH_IMAGE003
。
Preferably: the financial data processing method further comprises the following steps:
s7, searching a preset distribution-polymorphous and standard value information table according to the plurality of candle unimorphs to obtain the polymorphous and standard distribution values SC of the candlesij；
S8, searching a preset form-possible factor information table according to the candle polymorphic form to obtain the inversion possible factor A of the candle polymorphic formx ij；
S9, training the stock trading data to obtain the second trading data corresponding to the standard value and calculating to obtain the standard proportion Pij；
S10, calculating the polymorphic reverse rate of the candle
Figure 907632DEST_PATH_IMAGE004
；
S11, judging whether the polymorphic inversion rate of the current stock candle taken in the position is greater than a preset risk standard value, if so, executing S12;
and S12, prompting or alarming.
Preferably: the standard proportion calculation method comprises the following steps:
s51, obtaining the length SD of the candle line segment by taking the solid length as the referencei；
S52, calculating a standard proportion
Figure 965455DEST_PATH_IMAGE005
Wherein B is a standard correction factor and B is a line segment correction factor.
The invention has the technical effects and advantages that: by evaluating the possible factors and the reversal factors of the single forms of the candles, the evaluation is accurate, and the reference and the analysis of customers are facilitated. The standard proportion is calculated through the intermediate value, the standard proportion of the single candle form can be quantitatively analyzed, and the analysis is accurate.
Drawings
FIG. 1 is a block diagram of a financial data processing system according to the present invention.
FIG. 2 is a flow chart of a financial data processing method according to the present invention.
FIG. 3 is a flow chart of a candle polymorphic analysis in a financial data processing method according to the present invention.
Detailed Description
The invention is described in further detail below with reference to the drawings and the detailed description. The embodiments of the present invention have been presented for purposes of illustration and description, and are not intended to be exhaustive or limited to the invention in the form disclosed. Many modifications and variations will be apparent to practitioners skilled in this art. The embodiment was chosen and described in order to best explain the principles of the invention and the practical application, and to enable others of ordinary skill in the art to understand the invention for various embodiments with various modifications as are suited to the particular use contemplated.
Example 1
Referring to fig. 1, in the present embodiment, a financial data processing system for analyzing stock data is provided, the financial data processing system including:
the data acquisition module is used for acquiring stock transaction data, the stock transaction data comprises the prior opening price, closing price, highest price and lowest price, the stock transaction data form a unit for completing a stock candle map, one candle map unit can be calculated in the transaction time interval, day, week and the like, the transaction time interval can be in the morning and in the afternoon, wherein the day is preferably calculated by the candle map unit, and the detailed description is omitted here. For example, yesterday's stock opening price is 12, closing price is 11.5, maximum price is 15, and minimum price is 9.
The candle picture constructing module is used for constructing a candle unit picture A according to stock transaction data and training to obtain a candle unit picture lifting mark Ax(ii) a x may be 0 or 1, 0 may represent an increase, i.e., the closing price is greater than the opening price, and 1 may represent a drop, i.e., the closing price is less than the opening price. The construction of the candle unit diagram is prior art and will not be described herein. For example, the opening price of a stock is 12, and the closing price is 11.5.
The storage module is used for storing historical stock trading data, and the storage module is in the prior art and is not described herein in detail.
The candle monomorphism standard building module is used for building and obtaining the standard range and the standard central value SC of the monomorphism of the candlei. Thereby constructing a data-single-form and standard central value information table. The standard ranges for the individual candle unimorphs may partially overlap, and the standard center value does not represent the median of the standard ranges for the candle unimorphs, but rather represents the most standard value for such candle unimorphs, although a range is not excluded. The standard range calculation method of the candle unimorph is to calibrate the length range ratio of each line segment. The calculation method of the standard range of the single morphology of the candle comprises the following steps: opening price, closing price, difference between maximum price and minimum price, fromAnd obtaining the entity length, the upper shadow length and the lower shadow length, and specifying the ratio range among the entity length, the upper shadow length and the lower shadow length as a standard range. For example, the standard ranges of the single candle morphologies in the cross-star morphology are that the ratio of the upper hatched length to the solid length is greater than 3, the ratio of the lower hatched length to the solid length is greater than 3, the solid length is less than 1/5 of the overall length, and the standard center value is the upper hatched length: entity length: lower hatch length 5: 1:5.
A candle unimorph acquisition module for searching the data-unimorph and standard central value information table according to the stock transaction data to obtain the candle unimorph and standard central value SCi. And searching a preset form-possible factor information table according to the single form of the candle, thereby obtaining the inversion possible factor A of the single form of the candlex i。
A single-form analysis module for training the stock exchange data to obtain the first exchange data corresponding to the standard value and calculating to obtain the standard proportion Pi(ii) a Calculating the monomorphic inversion rate of the candle
Figure 992317DEST_PATH_IMAGE006
. The standard proportion calculation method comprises the following steps: obtaining the length SD of the candle line segment by taking the solid length as the referencei(ii) a Calculating the standard ratio
Figure 318256DEST_PATH_IMAGE007
Wherein B is a standard correction factor and B is a line segment correction factor. For example, a certain stock training method is that the ratio of the length of the upper shadow line to the length of the entity to the length of the lower shadow line is 6:1:5, and belongs to a cross-shaped star shape. The inversion probability factor for the crosshair shape is 0.4. Calculating the standard ratio
Figure 606018DEST_PATH_IMAGE008
=0.8 (here considered b = 1). Then calculate the inversion rate G of the candle monomorphi=0.4 × 0.8=0.32, and the possibility of the inversion mode is one here, and the calculation method is the same for a plurality of cases.
And the stock recommendation module is used for sequencing and displaying according to the monomorphic inversion rate of the candles. The stock recommendation module distinguishes between the rising and falling display for recommendation, so that the user can conveniently check and analyze. The evaluation was accurate by evaluating the possible factors and the inversion factor for each candle unimorph. Facilitating the reference and analysis of the client. The standard proportion is calculated through the intermediate value, the standard proportion of the single candle form can be quantitatively analyzed, and the analysis is accurate.
Example 2
The candle polymorphic standard construction module is used for constructing and obtaining the candle polymorphic distribution and the distribution standard value SCij. Thereby constructing a distribution-polymorphic and standard value information table. Candle polymorphism can be obtained from analysis of two or more horizontal distributions of candle unimorphs. Such as swallowed form, punctured form, star, etc., which will not be described herein in detail.
A candle polymorphic acquisition module for searching the distribution-polymorphic and standard value information table according to a plurality of candle unimorphs so as to obtain the candle polymorphic and distribution standard value SCij. And searching a preset form-possible factor information table according to the multiple forms of the candle, thereby obtaining the inversion possible factor A of the multiple forms of the candlex ij。
A polymorphic analysis module for training the stock transaction data to obtain the second transaction data corresponding to the standard value and calculating to obtain the standard proportion PijStandard ratio PijCalculation method and standard ratio PiAnd, similarly, is not illustrated here. Then calculate the polymorphic inversion rate of the candle
Figure 726421DEST_PATH_IMAGE009
. For example, today, the stock opening price is 11, the closing price is 14.5, the highest price is 15, and the lowest price is 9. The candle polymorphism may be a tumbling or flat head, and the candle monomorphic inversion rate, the detailed calculation is not repeated herein. The single-form inversion rate and the multi-form inversion rate are calculated, a plurality of form factors can be evaluated, the evaluation is accurate, and the analysis is prevented from being mistaken and missed.
An alarm module for judging the currentWhether the polymorphic inversion rate of the stock candle taken in the bin is greater than a preset risk standard value or not, and if so, prompting or alarming is carried out. The risk standard value can be a stepped risk grade judgment, wherein the judgment is suitable in three grades; wherein the risk criterion values comprise a first level risk value G1Second order risk value G2. First order risk less than G1Second level risk less than G2Third level risk greater than G2Judgment GijWhether or not it is greater than one G2If yes, judging as a third-level risk, and alarming; if not, judging whether F is more than G1If yes, determining as a secondary risk, and prompting, and if not, determining as a primary risk, and not prompting by an alarm, which is not described herein in detail.
Example 3
Referring to fig. 2, the present embodiment proposes a financial data processing method, including the following steps:
and S1, acquiring stock trading data.
S2, constructing a candle unit graph A according to stock trading data, and training to obtain a candle unit graph lifting mark Ax。
S3, searching a preset data-morphism and standard central value information table according to the stock transaction data to obtain the candle morphism and standard central value SCi。
S4, searching a preset form-possible factor information table according to the single form of the candle to obtain the reverse possible factor A of the single form of the candlex i。
S5, training the stock trading data to obtain the first trading data corresponding to the standard value, and calculating to obtain the standard proportion Pi。
S6, calculating the monomorphic inversion rate of the candle
Figure 115945DEST_PATH_IMAGE010
。
Referring to FIG. 3, S7, searching a preset distribution-polymorphous and standard value information table according to a plurality of candle unimorphs to obtain the polymorphous and standard value of the distribution of the candleSCij。
S8, searching a preset form-possible factor information table according to the candle polymorphic form to obtain the inversion possible factor A of the candle polymorphic formx ij。
S9, training the stock trading data to obtain the second trading data corresponding to the standard value and calculating to obtain the standard proportion Pij。
S10, calculating the polymorphic reverse rate of the candle
Figure 979996DEST_PATH_IMAGE011
。
And S11, judging whether the polymorphic inversion rate of the current stock candle taken in the position is greater than a preset risk standard value, and if so, executing S12.
And S12, prompting or alarming.
The standard proportion calculation method comprises the following steps:
s51, obtaining the length SD of the candle line segment by taking the solid length as the referencei；
S52, calculating a standard proportion
Figure 122264DEST_PATH_IMAGE012
Wherein B is a standard correction factor and B is a line segment correction factor.
It is to be understood that the described embodiments are merely a few embodiments of the invention, and not all embodiments. All other embodiments, which can be derived by one of ordinary skill in this and related arts based on the embodiments of the present invention without creative efforts, shall fall within the protection scope of the present invention. Structures, devices, and methods of operation not specifically described or illustrated herein are generally practiced in the art without specific recitation or limitation.

Claims (10)

1. A financial data processing system, said financial data processing system comprising:
the data acquisition module is used for acquiring stock transaction data;
the candle picture constructing module is used for constructing a candle unit picture A according to stock transaction data and training to obtain a candle unit picture lifting mark Ax；
The storage module is used for storing historical stock trading data;
the form analysis module is used for searching the information table according to the stock transaction data to obtain the inversion type and the inversion possibility factor, and finally calculating to obtain the inversion rate;
and the stock recommendation module is used for sorting according to the size of the reversal rate and displaying.
2. The financial data processing system of claim 1 wherein the morphology analysis module includes a candle unimorph analysis module and/or a candle polymorph analysis module.
3. The financial data processing system of claim 2 wherein the candle singlet analysis module comprises a candle singlet criteria construction module, a candle singlet acquisition module, and a singlet analysis module;
a candle unimorph standard building block for building to obtain a standard range of candle unimorph and a standard center value SCiConstructing a data-single form and standard central value information table;
the candle unimorph acquisition module is used for searching the data-unimorph and standard central value information table according to the stock transaction data to acquire the candle unimorph and standard central value SCi(ii) a And searching a preset form-possible factor information table according to the single form of the candle to obtain the inversion possible factor A of the single form of the candlex i；
A single-form analysis module for training the stock transaction data to obtain the first transaction data corresponding to the standard value and calculating to obtain the standard proportion Pi(ii) a Calculating the monomorphic inversion rate of the candle
Figure 570702DEST_PATH_IMAGE002
。
4. The financial data processing system of claim 2 wherein the candle monomorphic standard range calculation method is: calculating the difference value between the opening price, the closing price, the highest price and the lowest price to obtain the entity length, the upper shadow length and the lower shadow length, and setting the ratio range among the entity length, the upper shadow length and the lower shadow length as the standard range.
5. The financial data processing system of claim 3 wherein the candle polymorphic analysis module comprises a candle polymorphic criteria construction module, a candle polymorphic acquisition module;
the candle polymorphic standard construction module is used for constructing and obtaining the candle polymorphic distribution and the distribution standard value SCijConstructing a distribution-polymorphic and standard value information table;
a candle polymorphic acquisition module for searching the distribution-polymorphic and standard value information table according to a plurality of candle unimorphs to obtain the candle polymorphic and distribution standard value SCij(ii) a And searching a preset form-possible factor information table according to the multiple forms of the candle to obtain the reverse possible factor A of the multiple forms of the candlex ij；
A polymorphic analysis module for training the stock transaction data to obtain the second transaction data corresponding to the standard value and calculating to obtain the standard ratio PijCalculating the polymorphic reverse rotation rate of the candle
Figure 830782DEST_PATH_IMAGE003
。
6. The financial data processing system of claim 1 further comprising an alarm module, wherein the alarm module is configured to determine whether the polymorphic inversion rate of the currently taken stock candle is greater than a preset risk criterion value, and if so, prompt or alarm.
7. The financial data processing system of claim 6 wherein the risk criteria is a stepwise risk rating determination, wherein a three-level determination is advisable; judgment GijWhether or not it is greater than a G2If yes, judging as a third-level risk, and alarming; if not, judging whether F is more than G1If yes, judging as a secondary risk and prompting, and if not, judging as a primary risk and not prompting by alarming; wherein the risk criterion values comprise a first level risk value G1Second degree risk value G2。
8. A financial data processing method applied to the financial data processing system according to any one of claims 3 to 7, wherein the financial data processing method comprises the steps of:
s1, obtaining stock trading data;
s2, constructing a candle unit graph A according to stock trading data, and training to obtain a candle unit graph lifting mark Ax；
S3, searching a preset data-morphism and standard central value information table according to the stock transaction data to obtain the candle morphism and standard central value SCi；
S4, searching a preset form-possible factor information table according to the single form of the candle to obtain the reverse possible factor A of the single form of the candlex i；
S5, training the stock trading data to obtain the first trading data corresponding to the standard value, and calculating to obtain the standard proportion Pi；
S6, calculating the monomorphic inversion rate of the candle
Figure 440755DEST_PATH_IMAGE005
。
9. The financial data processing method of claim 8 further comprising the steps of:
s7, searching a preset distribution-polymorphous and standard value information table according to the plurality of candle unimorphs to obtain the polymorphous and standard distribution values SC of the candlesij；
S8, searching a preset form-possible factor information table according to the candle polymorphic form to obtain the inversion possible factor A of the candle polymorphic formx ij；
S9, training the stock trading data to obtain the second trading data corresponding to the standard value and calculating to obtain the standard proportion Pij；
S10, calculating the polymorphic reverse rate of the candle
Figure 220623DEST_PATH_IMAGE006
；
S11, judging whether the polymorphic inversion rate of the current stock candle taken in the position is greater than a preset risk standard value, if so, executing S12;
and S12, prompting or alarming.
10. The method of claim 8, wherein the standard proportion calculation method comprises:
s51, obtaining the length SD of the candle line segment by taking the solid length as the referencei；
S52, calculating a standard proportion
Figure DEST_PATH_IMAGE007
Wherein B is a standard correction factor and B is a line segment correction factor.
CN202210477827.6A 2022-05-05 2022-05-05 Financial data processing system and method Pending CN114581242A (en)

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