CN102411761A - Method for processing relative strength information of share - Google Patents

Method for processing relative strength information of share Download PDF

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Publication number
CN102411761A
CN102411761A CN2010102879585A CN201010287958A CN102411761A CN 102411761 A CN102411761 A CN 102411761A CN 2010102879585 A CN2010102879585 A CN 2010102879585A CN 201010287958 A CN201010287958 A CN 201010287958A CN 102411761 A CN102411761 A CN 102411761A
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CN
China
Prior art keywords
rps
value
comprehensive
server
city
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN2010102879585A
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Chinese (zh)
Inventor
雷发晶
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
SHANGHAI POPULAR FINANCE INFORMATION TECHNOLOGY Co Ltd
Original Assignee
SHANGHAI POPULAR FINANCE INFORMATION TECHNOLOGY Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by SHANGHAI POPULAR FINANCE INFORMATION TECHNOLOGY Co Ltd filed Critical SHANGHAI POPULAR FINANCE INFORMATION TECHNOLOGY Co Ltd
Priority to CN2010102879585A priority Critical patent/CN102411761A/en
Publication of CN102411761A publication Critical patent/CN102411761A/en
Pending legal-status Critical Current

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Abstract

The invention relates to a method for processing relative strength information of a share. The method comprises the following steps that: 1) a server selects a robust price share (RPS) interval; 2) the server acquires all share technical data in the current market; 3) the server calculates RPS values of all shares in the market and ranks the shares by taking a price earning ratio, a price/book value ratio, a price to sales ratio and a price cash ratio as basic indexes respectively; 4) the server calculates a comprehensive RPS value of all the shares; 5) the server screens out the comprehensive RPS value of the current share from a comprehensive RPS value list of all the shares; 6) judging whether the comprehensive RPS value of the current share is greater than the maximum value max in the interval, if so, executing the step 8), otherwise, executing the step 7); and 7) judging whether the comprehensive RPS value of the current share is less than the minimum value min in the interval, if so, executing the step 10), otherwise, executing the step 9). Compared with the prior art, the method has the advantages of capability of supplying much more accurate data to an investor and the like.

Description

The strong and weak relatively information processing method of one B shareB
Technical field
The present invention relates to a kind of stock information disposal route, especially relate to the strong and weak relatively information processing method of a B shareB.
Background technology
RPS (Relative Price Strength) is the share price relative intensity, and its definition is in a period of time, the precedence value of personal share amount of increase in whole stock amount of increase ranks.RPS is the strong and weak relatively common counter of reflection stock, has widespread use in stock analysis and the field of selecting stocks.
Tradition RPS index only with share price as unique index of calculating the RPS value, this just make some the time, its value and rank have certain one-sidedness.Also be based on this reason, derive the computing method of multiple RPS, but basically all be with single index as the basic calculation index, have unilateral problem equally.
Summary of the invention
The object of the invention is exactly to provide a B shareB strong and weak relatively information processing method for the defective that overcomes above-mentioned prior art existence.
The object of the invention can be realized through following technical scheme:
The strong and weak relatively information processing method of one B shareB is characterized in that, may further comprise the steps:
1) the selected sane burst of RPS desired value of server interval [min, max];
2) collection of server current on market the stock correlation technique data of all clients;
3) server to all stocks on the market respectively by the existing rate of p/e ratio, HSBC, city's pin rate, city as base values, calculate separately the RPS value and according to rank from big to small;
4) server uses the arithmetic mean method to calculate the comprehensive RPS value of all stocks according to the RPS value of the p/e ratio of calculating acquisition, HSBC, city's pin rate, the existing rate in city;
5) server filters out the comprehensive RPS value of current stock in the comprehensive RPS value list of all stocks;
Whether the comprehensive RPS value of 6) judging current stock is greater than interval maximal value max, and if yes, then execution in step 8), if not, then execution in step 7);
Whether the comprehensive RPS value of 7) judging current stock is less than interval minimum value min, and if yes, then execution in step 10), if not, then execution in step 9);
8) judge that current stock is advantaged stock;
9) judge that current stock is sane strand;
10) judge that current stock is soft spot.
Described step 2) the stock correlation technique data in comprise day market, p/e ratio, HSBC, city's pin rate, the existing rate in city.
Compared with prior art, the present invention has the following advantages:
Use p/e ratio, HSBC, city's pin rate, the existing rate in city to calculate RPS value separately at first respectively as base values; Calculate comprehensive RPS value through arithmetic mean then; This comprehensive RPS value can comparatively comprehensively be estimated the power relatively of all stocks on the market; As far as the investor, select surging and sane strand, the stock of specific investment weak tendency more can steadily and surely be made a profit comparatively speaking.
Description of drawings
Fig. 1 is a process flow diagram of the present invention;
Fig. 2 is a hardware configuration synoptic diagram of the present invention.
Embodiment
Below in conjunction with accompanying drawing and specific embodiment the present invention is elaborated.
Like Fig. 1, shown in Figure 2, the strong and weak relatively information processing method of a B shareB is characterized in that, may further comprise the steps:
Step 101, server 1 selected sane burst of RPS desired value interval [min, max];
Step 102, server 1 gather current on market the stock correlation technique data of all clients 2;
On step 103,1 pair of market of server all stocks respectively by the existing rate of p/e ratio, HSBC, city's pin rate, city as base values, calculate separately the RPS value and according to rank from big to small;
Step 104, server 1 use the arithmetic mean method to calculate the comprehensive RPS value of all stocks according to the RPS value that the p/e ratio of having calculated acquisition, HSBC, city's pin rate, city show rate;
Step 105, server 1 filter out the comprehensive RPS value of current stock in the comprehensive RPS value list of all stocks;
Whether the comprehensive RPS value of step 106, the current stock of judgement is greater than interval maximal value max, and if yes, then execution in step 108, if not, then execution in step 107;
Whether the comprehensive RPS value of step 107, the current stock of judgement is less than interval minimum value min, and if yes, then execution in step 110, if not, then execution in step 109;
Step 108, the current stock of judgement are advantaged stock;
Step 109, the current stock of judgement are sane strand;
Step 110, the current stock of judgement are soft spot.
Stock correlation technique data in the described step 102 comprise day market, p/e ratio, HSBC, city's pin rate, the existing rate in city.
As shown in Figure 2, hardware configuration of the present invention comprises client 2, server 1, and described server 1 is connected with client 2.Described client 2 adopts browser/server pattern or Client with server 1.Described client 2 is provided with a plurality of, and each client 2 all is connected with server 1.

Claims (2)

1. the strong and weak relatively information processing method of a B shareB is characterized in that, may further comprise the steps:
1) the selected sane burst of RPS desired value of server interval [min, max];
2) collection of server current on market the stock correlation technique data of all clients;
3) server to all stocks on the market respectively by the existing rate of p/e ratio, HSBC, city's pin rate, city as base values, calculate separately the RPS value and according to rank from big to small;
4) server uses the arithmetic mean method to calculate the comprehensive RPS value of all stocks according to the RPS value of the p/e ratio of calculating acquisition, HSBC, city's pin rate, the existing rate in city;
5) server filters out the comprehensive RPS value of current stock in the comprehensive RPS value list of all stocks;
Whether the comprehensive RPS value of 6) judging current stock is greater than interval maximal value max, and if yes, then execution in step 8), if not, then execution in step 7);
Whether the comprehensive RPS value of 7) judging current stock is less than interval minimum value min, and if yes, then execution in step 10), if not, then execution in step 9);
8) judge that current stock is advantaged stock;
9) judge that current stock is sane strand;
10) judge that current stock is soft spot.
2. the strong and weak relatively information processing method of a B shareB according to claim 1 is characterized in that described step 2) in stock correlation technique data comprise the existing rate of day market, p/e ratio, HSBC, city's pin rate, city.
CN2010102879585A 2010-09-20 2010-09-20 Method for processing relative strength information of share Pending CN102411761A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN2010102879585A CN102411761A (en) 2010-09-20 2010-09-20 Method for processing relative strength information of share

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN2010102879585A CN102411761A (en) 2010-09-20 2010-09-20 Method for processing relative strength information of share

Publications (1)

Publication Number Publication Date
CN102411761A true CN102411761A (en) 2012-04-11

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CN2010102879585A Pending CN102411761A (en) 2010-09-20 2010-09-20 Method for processing relative strength information of share

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CN (1) CN102411761A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108446981A (en) * 2018-03-20 2018-08-24 中越有限公司 A method of generating p/e ratio time cycle figure
CN108681939A (en) * 2018-05-08 2018-10-19 东莞市波动赢机器人科技有限公司 Information recommendation method based on transaction machine people and data processing centre

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040059666A1 (en) * 2000-06-01 2004-03-25 Henri Waelbroeck Confidential block trading system and method
CN1787006A (en) * 2005-10-28 2006-06-14 常明哲 System and method for evaluating risk and value of investment stock

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040059666A1 (en) * 2000-06-01 2004-03-25 Henri Waelbroeck Confidential block trading system and method
CN1787006A (en) * 2005-10-28 2006-06-14 常明哲 System and method for evaluating risk and value of investment stock

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108446981A (en) * 2018-03-20 2018-08-24 中越有限公司 A method of generating p/e ratio time cycle figure
CN108681939A (en) * 2018-05-08 2018-10-19 东莞市波动赢机器人科技有限公司 Information recommendation method based on transaction machine people and data processing centre

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Application publication date: 20120411