CN110264362A - A method of stock market environment is judged according to big data technology and multiple conditions - Google Patents
A method of stock market environment is judged according to big data technology and multiple conditions Download PDFInfo
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- CN110264362A CN110264362A CN201910556549.1A CN201910556549A CN110264362A CN 110264362 A CN110264362 A CN 110264362A CN 201910556549 A CN201910556549 A CN 201910556549A CN 110264362 A CN110264362 A CN 110264362A
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Abstract
The invention discloses a kind of method that stock market environment is judged according to big data technology and multiple conditions, including step 1, market environment investigations；Step 2 counts marketing data；Step 3, the processing of market current data；Step 4, market middle or long line data processing；Step 5, data operation on probation；Step 6, archives conclude storage；Step 7, later data comparison；A kind of method judging stock market environment according to big data technology and multiple conditions, it is planned automatically using computer, use big data technology, it arranges and concludes stock resource, resource needed for the environment of stock market, product, information and process is highly integrated, it is analyzed by big data comparison, obtain stock limit-up point, it is convenient and efficient, with a variety of conditions to judge stock market environment, while being analyzed with big data technology, greatly promote accuracy rate, be conducive to user's use, it is few to solve traditional resource, the problem of can not comparing more stock.
Description
Technical field
The present invention relates to stock market fields, specially a kind of to judge stock market according to big data technology and multiple conditions
The method of environment.
Background technique
Stock market is the place of the transfer of shares issued, dealing and circulation, including exchange market and over-the-counter friendship
Easy market two major classes are other；On the basis of being built upon issuing market due to it, also referred to as secondary market；The knot of stock market
Structure and transaction are more increasingly complex than issuing market, and role and influence power is also bigger；Stock market is speculator and investor
Active place in pairs is the thermometer of a country economy and finance activities；Tradition judges that stock market environment makes
Manually be compared, manually compare time-consuming and laborious, obtain that resource is few, and information faces are narrow, can not Accurate Prediction stock market walk
To, be unfavorable for the dealing of stock invester, while manual analysis data easily cause to make mistakes there are deviation, reduce accuracy rate；For these
Defect, design it is a kind of according to big data technology and multiple conditions judge stock market environment method make it is necessary.
Summary of the invention
The purpose of the present invention is to provide a kind of sides that stock market environment is judged according to big data technology and multiple conditions
Method, to solve the problems mentioned in the above background technology.
In order to solve the above technical problem, the present invention provides following technical solutions: a kind of according to big data technology and multiple
The method that condition judges stock market environment, including step 1, market environment investigation；Step 2 counts marketing data；Step
Three, the processing of market current data；Step 4, market middle or long line data processing；Step 5, data operation on probation；Step 6, archives
Conclude storage；Step 7, later data comparison；
Wherein in the above step 1, market environment investigation the following steps are included:
1) artificial selection stock observes the ups and downs situation of current point in time market environment, draws line chart record；
2) it to the middle or long line historical data of current point in time before being acquired stock 12 months using big data technology, observes each
The ups and downs situation of branch stock, observe each stock achievement data, including exchange hand, equal line, Moving Average Convergence and Divergence,
Boll index, William's index, are stored in computer；
Wherein in above-mentioned steps two, statistics marketing data the following steps are included:
1) it takes similar stock several, is monitored in real time；
2) each advance versus decline situation line chart is finely drawn again, is stored in computer；
3) data are integrated, observes advance versus decline point and achievement data, including exchange hand, equal line, the smooth similarities and differences
Moving Average, Boll index, William's index, observe and record in computer；
Wherein in above-mentioned steps three, market current data processing the following steps are included:
1) real-time monitoring data of the more stock stored according to step 2 analyzes ups and downs ratio, forms ups and downs ratio
Score；
2) determine whether current stock price is greater than opening price and current stock price lower than the ratio between opening price, to sentence again
Can the disconnected t period on the same day be bought in and get a profit, and proportionate gain score is formed；
3) comparison continues limit-up and the limit-up of yesterday ratio with limit-up yesterday of branch stock, today, judges continuing for stock limit-up
Property, form limit-up duration index score；
4) comprehensive ups and downs representative fraction, proportionate gain score and limit-up duration index score you can get it current stock city
Field ambient conditions；
Wherein in above-mentioned steps four, market middle or long line data processing the following steps are included:
1) the middle or long line ups and downs data and achievement data of the more stocks stored according to step 1, use big data technology
It analyzes and predicts the ups and downs situation in more stock futures, form stock market middle or long line ambient conditions；
2) if current more stocks continuously go up, being also to continue with whether occur adjusting back in more stocks of current point in time
Rise, then the subsequent still high probability of the stock goes up；
3) if current more stocks continuously drop, more stocks of current point in time, which whether have a rebound, to be also to continue with down
Fall, then the subsequent still high probability drop of the stock；
Wherein in above-mentioned steps five, data operation on probation the following steps are included:
1) stock market present circumstances are formed by according to step 3 and step 4 is formed by length in stock market
Thread environment situation obtains stock market environment；
2) several stocks are selected, the conclusion that stock market environment obtains is tried out in Stock Purchase, observe ups and downs situation, note
It records on record；
Wherein in above-mentioned steps six, obtained conclusion manual record is stored in each portion in archive office and computer, with
It is standby to compare again；
Wherein in above-mentioned steps seven, data, while correlation data are observed every one end time manual record.
According to the above technical scheme, the step 1 2) in, record data are stored in archive office, in case subsequent contrast.
According to the above technical scheme, the step 2 2) in, data need one week of continuous record, arrange and return
It receives.
According to the above technical scheme, the step 3 1) in, manually advance versus decline situation is observed every 2h.
According to the above technical scheme, the step 5 2) in, continuous observation stock 5-6 months, record same day ups and downs situation.
According to the above technical scheme, it in the step 7, observes and records every other month primary.
Compared with prior art, the beneficial effects obtained by the present invention are as follows being: this is a kind of according to big data technology and multiple
The method that part judges stock market environment is planned automatically using computer, using big data technology, is arranged and is concluded stock money
Source, resource needed for the environment of stock market, product, information and process is highly integrated, it is analyzed, is obtained by big data comparison
Stock limit-up point out, it is convenient and efficient, stock market environment is judged with a variety of conditions, and information faces are wider, while using big data
Technology is analyzed, and accuracy rate is greatly promoted, and is conducive to user's use, and it is few to solve traditional resource, can not compare more stocks
The problem of, so that it is obtained contrast range wider, obtain information more comprehensively, greatly improves the probability of Stock Purchase profit, drop simultaneously
The labor intensity of low user avoids causing human fatigue, is conducive to user and compares use.
Detailed description of the invention
Attached drawing is used to provide further understanding of the present invention, and constitutes part of specification, with reality of the invention
It applies example to be used to explain the present invention together, not be construed as limiting the invention.In the accompanying drawings:
Fig. 1 is process flow chart of the invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Fig. 1-1 is please referred to, the present invention provides a kind of technical solution:
A method of stock market environment, including step 1, market ring are judged according to big data technology and multiple conditions
Border investigation；Step 2 counts marketing data；Step 3, the processing of market current data；Step 4, market middle or long line data processing；
Step 5, data operation on probation；Step 6, archives conclude storage；Step 7, later data comparison；
Wherein in the above step 1, market environment investigation the following steps are included:
1) artificial selection stock observes the ups and downs situation of current point in time market environment, draws line chart record；
2) it to the middle or long line historical data of current point in time before being acquired stock 12 months using big data technology, observes each
The ups and downs situation of branch stock, observe each stock achievement data, including exchange hand, equal line, Moving Average Convergence and Divergence,
Boll index, William's index, are stored in computer, and record data are stored in archive office, in case subsequent contrast；
Wherein in above-mentioned steps two, statistics marketing data the following steps are included:
1) it takes similar stock several, is monitored in real time；
2) each advance versus decline situation line chart is finely drawn again, is stored in computer, and data need continuous record one
Carry out summarizing in week；
3) data are integrated, observes advance versus decline point and achievement data, including exchange hand, equal line, the smooth similarities and differences
Moving Average, Boll index, William's index, observe and record in computer；
Wherein in above-mentioned steps three, market current data processing the following steps are included:
1) real-time monitoring data of the more stock stored according to step 2 analyzes ups and downs ratio, forms ups and downs ratio
Score manually observes advance versus decline situation every 2h；
2) determine whether current stock price is greater than opening price and current stock price lower than the ratio between opening price, to sentence again
Can the disconnected t period on the same day be bought in and get a profit, and proportionate gain score is formed；
3) comparison continues limit-up and the limit-up of yesterday ratio with limit-up yesterday of branch stock, today, judges continuing for stock limit-up
Property, form limit-up duration index score；
4) comprehensive ups and downs representative fraction, proportionate gain score and limit-up duration index score you can get it current stock city
Field ambient conditions；
Wherein in above-mentioned steps four, market middle or long line data processing the following steps are included:
1) the middle or long line ups and downs data and achievement data of the more stocks stored according to step 1, use big data technology
It analyzes and predicts the ups and downs situation in more stock futures, form stock market middle or long line ambient conditions；
2) if current more stocks continuously go up, being also to continue with whether occur adjusting back in more stocks of current point in time
Rise, then the subsequent still high probability of the stock goes up；
3) if current more stocks continuously drop, more stocks of current point in time, which whether have a rebound, to be also to continue with down
Fall,
The then subsequent still high probability drop of the stock；
Wherein in above-mentioned steps five, data operation on probation the following steps are included:
1) stock market present circumstances are formed by according to step 3 and step 4 is formed by length in stock market
Thread environment situation obtains stock market environment；
2) several stocks are selected, the conclusion that stock market environment obtains is tried out in Stock Purchase, observe ups and downs situation, note
Record it is on record, continuous observation stock 5-6 months, record same day ups and downs situation；
Wherein in above-mentioned steps six, obtained conclusion manual record is stored in each portion in archive office and computer, with
It is standby to compare again；
Wherein in above-mentioned steps seven, data, while correlation data are observed every one end time manual record, every one
The moon observes and records primary.
Based on above-mentioned, it is an advantage of the current invention that it is of the invention, it is planned automatically using computer, it is whole using big data technology
Reason and conclusion stock resource, resource needed for the environment of stock market, product, information and process is highly integrated, pass through big data
The problem of comparison is analyzed, and obtains stock limit-up point, and it is few to solve traditional resource, can not compare more stock, obtains it
Contrast range is wider, obtains information more comprehensively, while reducing the labor intensity of user, avoids causing human fatigue.
It should be noted that, in this document, relational terms such as first and second and the like are used merely to a reality
Body or operation are distinguished with another entity or operation, are deposited without necessarily requiring or implying between these entities or operation
In any actual relationship or order or sequence.Moreover, the terms "include", "comprise" or its any other variant are intended to
Non-exclusive inclusion, so that the process, method, article or equipment including a series of elements is not only wanted including those
Element, but also including other elements that are not explicitly listed, or further include for this process, method, article or equipment
Intrinsic element.
Finally, it should be noted that the foregoing is only a preferred embodiment of the present invention, it is not intended to restrict the invention,
Although the present invention is described in detail referring to the foregoing embodiments, for those skilled in the art, still may be used
To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features.
All within the spirits and principles of the present invention, any modification, equivalent replacement, improvement and so on should be included in of the invention
Within protection scope.
Claims (6)
1. a kind of method for judging stock market environment according to big data technology and multiple conditions, including step 1, market environment
Investigation；Step 2 counts marketing data；Step 3, the processing of market current data；Step 4, market middle or long line data processing；Step
Rapid five, data operation on probation；Step 6, archives conclude storage；Step 7, later data comparison；It is characterized by:
Wherein in the above step 1, market environment investigation the following steps are included:
1) artificial selection stock observes the ups and downs situation of current point in time market environment, draws line chart record；
2) to the middle or long line historical data of current point in time before acquiring stock 12 months using big data technology, each stock is observed
The ups and downs situation of ticket observes the achievement data of each stock, including exchange hand, equal line, Moving Average Convergence and Divergence, Bu Lin
Line index, William's index, are stored in computer；
Wherein in above-mentioned steps two, statistics marketing data the following steps are included:
1) it takes similar stock several, is monitored in real time；
2) each advance versus decline situation line chart is finely drawn again, is stored in computer；
3) data are integrated, observes advance versus decline point and achievement data, including the movement of exchange hand, equal line, the smooth similarities and differences
Average line, Boll index, William's index, observe and record in computer；
Wherein in above-mentioned steps three, market current data processing the following steps are included:
1) real-time monitoring data of the more stock stored according to step 2 analyzes ups and downs ratio, forms ups and downs representative fraction；
2) determine whether current stock price is greater than opening price and current stock price lower than the ratio between opening price, so that judgement is worked as again
Can its t period be bought in and get a profit, and proportionate gain score is formed；
3) comparison continues limit-up and the limit-up of yesterday ratio with limit-up yesterday of branch stock, today, judges the duration of stock limit-up, shape
At limit-up duration index score；
4) comprehensive ups and downs representative fraction, proportionate gain score and limit-up duration index score you can get it current stock market ring
Border situation；
Wherein in above-mentioned steps four, market middle or long line data processing the following steps are included:
1) the middle or long line ups and downs data and achievement data of the more stocks stored according to step 1, are analyzed using big data technology
And predict the ups and downs situation in more stock futures, form stock market middle or long line ambient conditions；
2) if current more stocks continuously go up, adjusting back, which whether occur, in more stocks of current point in time is also to continue with rise, then
The subsequent still high probability of the stock goes up；
3) if current more stocks continuously drop, more stocks of current point in time, which whether have a rebound, is also to continue with drop, then
The subsequent still high probability drop of the stock；
Wherein in above-mentioned steps five, data operation on probation the following steps are included:
1) stock market present circumstances are formed by according to step 3 and step 4 is formed by stock market middle or long line ring
Border situation obtains stock market environment；
2) several stocks are selected, the conclusion that stock market environment obtains is tried out in Stock Purchase, ups and downs situation is observed,
It places on record；
Wherein in above-mentioned steps six, obtained conclusion manual record is stored in each portion in archive office and computer, in case again
Secondary comparison；
Wherein in above-mentioned steps seven, data, while correlation data are observed every one end time manual record.
2. a kind of method that stock market environment is judged according to big data technology and multiple conditions according to claim 1,
It is characterized by: the step 1 2) in, record data are stored in archive office, in case subsequent contrast.
3. a kind of method that stock market environment is judged according to big data technology and multiple conditions according to claim 1,
It is characterized by: the step 2 2) in, data need one week of continuous record, carry out summarizing.
4. a kind of method that stock market environment is judged according to big data technology and multiple conditions according to claim 1,
It is characterized by: the step 3 1) in, manually advance versus decline situation is observed every 2h.
5. a kind of method that stock market environment is judged according to big data technology and multiple conditions according to claim 1,
It is characterized by: the step 5 2) in, continuous observation stock 5-6 months, record same day ups and downs situation.
6. a kind of method that stock market environment is judged according to big data technology and multiple conditions according to claim 1,
It is characterized by: being observed and recorded every other month primary in the step 7.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110969919A (en) * | 2019-12-16 | 2020-04-07 | 陕西中兴祥林电子科技有限公司 | Method for realizing multipurpose power distribution simulation training platform |
| CN113362174A (en) * | 2021-06-17 | 2021-09-07 | 富途网络科技(深圳)有限公司 | Data comparison method, device, equipment and storage medium |
-
2019
- 2019-06-25 CN CN201910556549.1A patent/CN110264362A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110969919A (en) * | 2019-12-16 | 2020-04-07 | 陕西中兴祥林电子科技有限公司 | Method for realizing multipurpose power distribution simulation training platform |
| CN113362174A (en) * | 2021-06-17 | 2021-09-07 | 富途网络科技(深圳)有限公司 | Data comparison method, device, equipment and storage medium |
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Application publication date: 20190920 |