CN111145029A - Futures and stock trading method, system and equipment based on big data - Google Patents
Futures and stock trading method, system and equipment based on big data Download PDFInfo
- Publication number
- CN111145029A CN111145029A CN201911423348.0A CN201911423348A CN111145029A CN 111145029 A CN111145029 A CN 111145029A CN 201911423348 A CN201911423348 A CN 201911423348A CN 111145029 A CN111145029 A CN 111145029A
- Authority
- CN
- China
- Prior art keywords
- futures
- trading
- stock
- real
- time
- 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
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/04—Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Finance (AREA)
- Accounting & Taxation (AREA)
- Marketing (AREA)
- Development Economics (AREA)
- Human Resources & Organizations (AREA)
- General Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Entrepreneurship & Innovation (AREA)
- Game Theory and Decision Science (AREA)
- Technology Law (AREA)
- Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)
Abstract
The invention discloses a method, a system and equipment for trading futures and stocks based on big data, which are characterized in that real-time quotes and real-time trading records of all futures and stocks on the market are collected in real time, the information is used as a data base, a futures predicted trading signal and a stock predicted trading signal are obtained according to the real-time quotes and the real-time trading records of the futures and the stocks, and finally, a user can buy and sell one or more futures and/or stocks according to the futures predicted trading signal and the stock predicted trading signal. Through the design, the invention provides a trading strategy of stocks and futures for each investor, provides data support for each investor to hold the rise and fall of stocks and futures, and realizes the trading prediction of stocks and futures. In addition, the invention takes real-time quotes of stocks and futures and real-time transaction records as inferred data bases, thereby ensuring the accuracy and the rationality of the prediction result.
Description
Technical Field
The invention relates to the technical field of stock and futures trading, in particular to a futures and stock trading method, system and equipment based on big data.
Background
The stock and futures are an important place for optimizing capital resources, the change rule of the stock and futures is mastered, the change rule is not only thought by investors day and night, but also has positive effect on the macroscopic economy, the prices of the stock and futures directly depend on the buying and selling relations, the main bodies for buying and selling the stock and futures are all stock holders and futures holders, the trading strategies of the stock and futures are researched, the rise and fall of the stock and futures in the ordinary state can be held, and the major influence on all investors and the macroscopic economy is achieved. How to predict the accurate trading of stocks and futures is a research hotspot in the current stock market and futures market, and becomes a problem to be solved urgently.
Disclosure of Invention
In order to solve the problem that the prior stock market and futures market can not be subjected to trade prediction, the invention aims to provide a method, a system and equipment for realizing the trade prediction of the stocks and the futures by collecting real-time quotes and trade records of the stocks and the futures and taking the real-time quotes and the trade records as a data base.
The technical scheme adopted by the invention is as follows:
a futures and stock trading method based on big data comprises the following steps:
s101, respectively obtaining real-time quotes and real-time transaction records of all futures and stocks on the market, and respectively obtaining real-time quote information of the futures, real-time transaction information of the futures, real-time quote information of the stocks and real-time transaction information of the stocks;
s102, receiving the futures real-time quotation information and the futures real-time trading information, and generating a futures prediction trading signal according to the futures real-time quotation information and the futures real-time trading information;
s103, receiving the stock real-time quotation information and the stock real-time transaction record, and generating a stock forecast transaction signal according to the stock real-time quotation information and the stock real-time transaction record;
s104, according to the futures forecast trading signal and the stock forecast trading signal, trading of one or more futures and/or stocks is completed.
Preferably, in the step S102 and the step S103, the following steps are further performed:
generating a futures K line graph according to the real-time price quoted information of the futures, and publishing the K line graph on the Internet;
and generating a stock K line graph according to the stock real-time quotation information, and publishing the K line graph on the Internet.
Preferably, the futures real-time trading information and the stock real-time trading information respectively include trading time, trading varieties, trading quantity, trading direction, loss stopping information and filling stopping information.
Optimally, the futures forecast trading signals comprise futures forecast trading time and futures forecast trading varieties, and the stock forecast trading signals comprise stock forecast trading time and stock forecast trading varieties.
Preferably, the step S104 specifically includes the following steps:
s104a, receiving the futures forecast trading signal and the stock forecast trading signal;
s104b, screening the received futures forecast transaction signals and stock forecast transaction signals according to a preset standard to respectively obtain futures transaction signals and stock transaction signals;
s104c, according to the futures trading signal and the stock trading signal, completing the trading of one or more futures and/or stocks.
Preferably, the preset criteria in step S104b are:
judging whether the futures forecast transaction variety is profitable or not according to the past profit and loss condition of the futures forecast transaction signal medium-term shipment forecast transaction variety, if so, taking the futures forecast transaction signal as a futures transaction signal, and if not, not taking the futures transaction signal as the futures transaction signal;
and judging whether the stock predicted trading variety is profitable or not according to the past profit and loss condition of the stock predicted trading variety in the stock predicted trading signal, if so, taking the stock predicted trading signal as the stock trading signal, and if not, taking the stock predicted trading signal as the stock trading signal.
Optimally, in the step S104c, before the exchange of futures and/or stocks, the following operations may be further performed:
the variety, stop loss value and stop filling value of futures or stocks to be traded can be set respectively.
The invention also provides another technical scheme:
a transaction system of futures and stocks based on big data comprises a data acquisition module, a transaction signal calculation module and a transaction module;
the data acquisition module is used for acquiring real-time quotes and real-time transaction records of all futures and stocks, and respectively acquiring real-time quote information of the futures, real-time transaction information of the futures, real-time quote information of the stocks and real-time transaction information of the stocks;
the trading signal calculation module is in communication connection with the data acquisition module and is used for receiving the futures real-time quotation information, the futures real-time trading information, the stock real-time quotation information and the stock real-time trading information and obtaining a futures predicted trading signal and a stock predicted trading signal;
the trading module is in communication connection with the trading signal calculation module and is used for completing trading of one or more futures and/or stocks according to the futures forecast trading signal and the stock forecast trading signal.
Preferably, the trading signal calculation module may further generate a futures K line graph and a stock K line graph respectively according to the futures real-time quote information and the stock real-time quote information, and publish the futures K line graph and the stock K line graph.
The invention also provides another technical scheme:
a big-data based futures and stock trading device comprising a processor and a memory communicatively connected, the memory for storing a computer program, the processor for executing the computer program implementing the big-data based futures and stock trading method.
The invention has the beneficial effects that:
(1) the invention provides a futures and stock trading method, system and device based on big data. Firstly, the invention collects real-time quotes and real-time transaction records of all futures and stocks on the market in real time, and uses the information as a data base to obtain a futures predicted transaction signal and a stock predicted transaction signal according to the real-time quotes and the real-time transaction records of the futures and the stocks, and finally, a user can realize the buying and selling of one or more futures and/or stocks according to the futures predicted transaction signal and the stock predicted transaction signal.
Through the design, the invention provides a trading strategy of stocks and futures for each investor, provides data support for each investor to hold the rise and fall of stocks and futures, and realizes the trading prediction of stocks and futures. In addition, the invention takes real-time quotes of stocks and futures and real-time transaction records as inferred data bases, thereby ensuring the accuracy and the rationality of the prediction result.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flow chart illustrating the steps of a method for trading futures and stocks based on big data according to the present invention.
Fig. 2 is a system block diagram of a big data based futures and stock trading system provided by the present invention.
Fig. 3 is a schematic diagram of a large data based futures and stock trading device provided by the present invention.
Detailed Description
The invention will be further illustrated with reference to specific examples. It should be noted that the description of the embodiments is provided to help understanding of the present invention, but the present invention is not limited thereto.
The term "and/or" herein is merely an association relationship describing an associated object, and means that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, B exists alone, and A and B exist at the same time, and the term "/and" is used herein to describe another association object relationship, which means that two relationships may exist, for example, A/and B, may mean: a alone, and both a and B alone, and further, the character "/" in this document generally means that the former and latter associated objects are in an "or" relationship.
Example one
As shown in fig. 1 to 3, the method for trading futures and stocks based on big data provided in this embodiment includes the following steps:
s101, real-time quotes and real-time trading records of all futures and stocks on the market are respectively obtained, and real-time quote information, real-time futures trading information, real-time stock quote information and real-time stock trading information are respectively obtained.
Step S101 is the basic data required for stock and futures trading prediction, i.e. the real-time quotes and real-time trading records of all futures and stocks on the market are used as the data support for stock and futures trading prediction results.
In this embodiment, the futures trading can be predicted according to the real-time futures offer information and the real-time futures trading record, and a futures predicted trading signal can be obtained. And similarly, obtaining a stock forecast trading signal according to the stock real-time quote and the stock real-time trading record.
In this embodiment, the real-time futures trading information and the real-time stock trading information respectively include trading time, trading varieties, trading volume, trading direction, loss stopping information and filling stopping information. Through the various data disclosed above, the record of the completed transaction of the stocks and futures can be analyzed in detail, and the accuracy of the prediction result can be further ensured.
The following is a detailed description of how real-time quotes and real-time trade records for futures and stocks are obtained:
in this embodiment, the real-time quotation of stocks and futures can be realized by the largest transaction software MT4 on the market, and MT4 is an existing market quotation receiving software, which can check the quotation of gold, silver, foreign exchange, stocks and futures in real time. Therefore, in this embodiment, the MT4 software can be used to realize real-time collection of stock and futures quotes.
The real-time transaction records of stocks and futures can be obtained through various futures and stock official exchange, if people need to know the real-time transaction records of the futures in China, the real-time downloading of the futures transaction records can be carried out through a CTP interface freely disclosed by the Shanghai futures exchange, namely, the transaction time, the transaction variety, the transaction quantity, the transaction direction, the stop loss information and the stop filling information of the futures are obtained in real time.
By the technical means, real-time quote of futures and stocks and acquisition of real-time transaction records can be realized, and a reliable data basis is provided for subsequent transaction prediction of futures and stocks.
In this embodiment, the real-time quotes for futures and stocks and the real-time trade records are continuously updated, i.e., continuously updated in real-time as the futures and stocks are updated.
After the data is obtained, the futures and stock trading strategy can be predicted, that is, the due goods predicted trading signal and the stock predicted trading signal can be obtained, as shown in step S102 ℃
S103。
And S102, receiving the real-time futures quotation information and the real-time futures trading information, and generating a futures forecast trading signal according to the real-time futures quotation information and the real-time futures trading information.
And S103, receiving the stock real-time quotation information and the stock real-time transaction record, and generating a stock forecast transaction signal according to the stock real-time quotation information and the stock real-time transaction record.
As shown in step S102 and step S103, by obtaining the futures real-time quote information, the futures real-time trading information, the stock real-time quote information, and the stock real-time trading information, the synchronous sharing between the futures and stock trading strategy and the user can be realized, which is specifically explained as follows:
the invention discloses the real-time transaction record of the futures to finish the synchronization of each user, thereby directly obtaining the futures forecast transaction signal according to the data and finishing the buying and selling of one or more futures.
Similarly, the stock forecast transaction signal is a complex of real-time stock quotes and real-time stock transaction records, and the principle of the stock forecast transaction signal is consistent with that of the futures forecast transaction signal, which is not repeated herein.
In this embodiment, the futures predicted trading signals include futures predicted trading time and futures predicted trading items, and the stock predicted trading signals include stock predicted trading time and stock predicted trading items.
As can be seen from the above disclosure: the futures forecast trading signal discloses the variety of futures forecast trades and the forecast trading time of futures, i.e. it can be deduced from the real-time futures quotes and the real-time futures trading records when the maximum earning will be achieved for the purchase and sale of some variety or varieties of futures. Similarly, the same is true of the stock forecast trade signal.
In this embodiment, the generation of futures forecast trading signals and stock forecast trading signals is specifically described as follows:
first, since the embodiment collects the transaction records of all futures and stocks on the market, the essence of obtaining the futures forecast trading signal and the stock forecast trading signal is: and filtering and screening all the acquired real-time futures trading information and real-time stock trading information according to profit and loss conditions, and selecting profit trading information as trading signals.
The method specifically comprises the following steps: as described above, the real-time futures trading information includes trading time, trading type, trading amount, trading direction, stop loss information and stop profit information, so the present embodiment determines the past trading profit and loss situation of one piece of real-time futures trading information on the market, and screens the real-time futures trading information in profit as the predicted futures trading signal. The generation of stock forecast trading signals is the same as the principle of futures real-time trading signals, and the description thereof is omitted.
Therefore, the generation of the trading signal of the present embodiment is essentially to filter and screen real-time trading information of all stocks and futures, screen out real-time trading information of earnings, and use the internal stock or futures as the predicted trading varieties of stocks or futures in the trading prediction signal.
In this embodiment, the profit and loss judgment in the filtering and screening process of this time may be, but is not limited to be: selecting one profit real-time trading information, and taking the stock variety in the information as the stock trading predicted variety in the stock trading signal or taking the future variety in the information as the future trading predicted variety in the future trading signal.
After the futures and stock forecast trading signals are obtained, the purchase of futures and/or stocks can be performed, as shown in step S104.
S104, according to the futures forecast trading signal and the stock forecast trading signal, trading of one or more futures and/or stocks is completed.
Step S104 is to implement the buying and selling of futures and stocks according to the futures forecast signal and the stock forecast transaction signal, that is, to select the corresponding futures to buy or sell in the inferred time slot according to the futures forecast transaction varieties and the futures forecast transaction time in the futures forecast transaction signal, so as to maximize the profit. Similarly, the trading of stocks is also the same.
In this embodiment, in order to ensure the maximum benefit of the user, a filtering step is further provided, specifically as shown in steps S104a to 104 c:
s104a, receiving the futures forecast trading signal and the stock forecast trading signal.
And S104b, screening the received futures forecast trading signals and stock forecast trading signals according to a preset standard to respectively obtain the futures trading signals and the stock trading signals.
S104c, according to the futures trading signal and the stock trading signal, completing the trading of one or more futures and/or stocks.
In this embodiment, the purpose of screening the received futures forecast trading signals and stock trading signals is to improve the accuracy of the trading prediction, and the specific screening criteria are as follows:
and judging whether the futures predicted trading variety is profitable or not according to the past profit and loss condition of the futures predicted trading variety in the futures predicted trading signal, if so, taking the futures predicted trading signal as the futures trading signal, and if not, not taking the futures trading signal as the futures trading signal.
And judging whether the stock predicted trading variety is profitable or not according to the past profit and loss condition of the stock predicted trading variety in the stock predicted trading signal, if so, taking the stock predicted trading signal as the stock trading signal, and if not, taking the stock predicted trading signal as the stock trading signal.
The screening process is specifically illustrated below:
since it has been described above that the futures forecast trading signals include futures forecast trading time and futures forecast trading varieties, the stock forecast trading signals include stock forecast trading time and stock forecast trading varieties.
Therefore, the corresponding profit and loss conditions can be obtained according to the predicted trading varieties of the futures and the predicted trading varieties of the stocks, whether the futures are to be profitable or not is judged according to the past profit and loss conditions after trading is continued, and the predicted trading signals of the futures corresponding to the predicted trading varieties of the futures judged to be profitable and the predicted trading signals of the stocks corresponding to the predicted trading varieties of the stocks are respectively used as the futures trading signals and the stock trading signals and used for guiding users to trade stocks or futures.
The following details are provided for the profit and loss judgment:
if the predicted futures trading varieties are in loss state for the first three times, the possibility of profit and loss of the predicted futures trading varieties is high in the fourth time, namely, the predicted futures trading signals corresponding to the predicted futures trading varieties can be used as the predicted futures signals, namely, the predicted futures signals comprise the predicted futures trading varieties and the corresponding trading time, and finally, the user can trade futures according to the predicted futures signals.
Similarly, the principle of the stock forecast trading signal screening is consistent with that of the futures forecast trading signal screening, and the details are not repeated herein.
In the present embodiment, the profit and loss conditions with respect to the first three times are not limited, and may be specifically set according to the market at the time of use.
In this embodiment, this screening is actually the second screening, and it has been described above that the stock predicted trading signal and the futures predicted trading signal are obtained by screening the transaction records of all futures and stocks, and in step S104b, the stock predicted trading signal and the futures predicted trading signal are obtained by screening again, that is, the stocks and futures obtained by the first screening are further screened for the second time according to the profit and loss conditions, so as to further increase the rationality and accuracy of the final trading signal. I.e., the accuracy and reasonableness of the stock exchange signals and futures exchange signals.
In this embodiment, only the screened futures and stock forecasted trading signals will be finally used as futures and stock trades, but the screened futures and stock forecasted trading signals will not be used, but the screened futures and stock forecasted trading signals will not be deleted in this embodiment.
In this embodiment, after obtaining the futures trading signal and the stock trading signal, the futures trading signal and the stock trading signal are sent to the futures account number or the stock account number corresponding to each user, so as to trade futures and stocks.
In this embodiment, stock and futures can be traded automatically according to the futures trading signal and the stock trading signal, that is, the futures and stocks can be traded and sold completely according to the futures trading signal and the stock trading signal, so that the stock and futures can be traded automatically, and the trading strategy (i.e., trading record) on the market can be used by the stock and futures trading strategy.
In this embodiment, in order to increase the practicability and convenience of the transaction, the following steps are further provided:
in step S104c, before the exchange of futures and/or stocks, the following operations may be further performed:
the variety, stop loss value and stop filling value of futures or stocks to be traded can be set respectively.
Because the obtained futures trading signal may contain a plurality of futures forecast trading varieties, the user can set the trading varieties, stop loss value and stop filling value in the account number of the user, so that the user can set the user by self, and the humanization of the whole stock and futures trading is improved.
In this embodiment, a respective K-line graph may also be generated according to the real-time stock quotes and futures quotes for the user to view in real time, and the specific steps are as follows:
and generating a futures K line graph according to the real-time price quoted information of the futures, and publishing the K line graph on the Internet.
And generating a stock K line graph according to the stock real-time quotation information, and publishing the K line graph on the Internet.
Through the design, the user can visually see the price information of each future and stock, the user can conveniently analyze the price information, and the user is further assisted in selecting which future and stock to trade. Through the steps, the user can carry out transaction prediction by himself, and further can more accurately realize the buying and selling of futures and/or stocks by matching with futures transaction signals or stock transaction signals.
Example two
As shown in fig. 2, the present embodiment provides a system for implementing a method for trading futures and stocks based on big data in the first embodiment, which includes a data acquisition module, a trading signal calculation module, and a trading module.
The data acquisition module is used for acquiring real-time quotes and real-time transaction records of all futures and stocks, and respectively acquiring real-time quote information of the futures, real-time transaction information of the futures, real-time quote information of the stocks and real-time transaction information of the stocks.
The trading signal calculation module is in communication connection with the data acquisition module and is used for receiving the futures real-time quotation information, the futures real-time trading information, the stock real-time quotation information and the stock real-time trading information and obtaining a futures predicted trading signal and a stock predicted trading signal.
The trading module is in communication connection with the trading signal calculation module and is used for completing trading of one or more futures and/or stocks according to the futures forecast trading signal and the stock forecast trading signal.
Preferably, the trading signal calculation module may further generate a futures K line graph and a stock K line graph respectively according to the futures real-time quote information and the stock real-time quote information, and publish the futures K line graph and the stock K line graph.
In this embodiment, the data acquisition module is used for data collection, and the trading signal calculation module is used as a calculation module for the trading prediction of futures and stocks to obtain futures predicted trading signals and stock predicted trading signals, and is also used as an information transfer module to send the obtained futures predicted trading signals and stock predicted trading signals to the trading module, and to openly display real-time quotes of futures and stocks, that is, to open them in the form of K-line graphs.
The trading module is used as a trading platform and is used for receiving the futures forecast trading signals and the stock forecast trading signals sent by the trading calculation module, filtering and screening the futures forecast trading signals and the stock forecast trading signals and sending the futures or stock account numbers to each user.
In this embodiment, the user can log in the account number on the trading module, and then receive the futures forecast trading signal and the stock forecast trading signal, and further obtain the final futures trading signal and the stock trading signal in the account number, thereby completing the buying and selling of futures and/or stocks.
The working process, the working details and the technical effects of the transaction system provided in this embodiment can be seen in embodiment one, which is not described herein.
EXAMPLE III
As shown in fig. 3, the present embodiment provides a hardware device including the method for trading futures and stocks based on big data in the first embodiment, which includes a processor and a memory, which are communicatively connected, where the memory is used to store a computer program, and the processor is used to execute the computer program to implement the method for trading futures and stocks based on big data in the first embodiment.
The working process, working details and technical effects of the transaction device provided in this embodiment may be referred to in embodiment one, and are not described herein again.
The embodiments described above are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device to perform the methods described in the embodiments or some portions of the embodiments.
In summary, the method, system and device for trading futures and stocks based on big data provided by the invention have the following technical effects:
(1) the invention provides a trading strategy of stocks and futures for each investor, provides data support for each investor to hold the rise and fall of stocks and futures, and realizes the trading prediction of stocks and futures. In addition, the invention takes real-time quotes of stocks and futures and real-time transaction records as inferred data bases, thereby ensuring the accuracy and the rationality of the prediction result.
The invention is not limited to the above alternative embodiments, and any other various forms of products can be obtained by anyone in the light of the present invention, but any changes in shape or structure thereof, which fall within the scope of the present invention as defined in the claims, fall within the scope of the present invention.
Claims (10)
1. A futures and stock trading method based on big data is characterized by comprising the following steps:
s101, respectively obtaining real-time quotes and real-time transaction records of all futures and stocks on the market, and respectively obtaining real-time quote information of the futures, real-time transaction information of the futures, real-time quote information of the stocks and real-time transaction information of the stocks;
s102, receiving the futures real-time quotation information and the futures real-time trading information, and generating a futures prediction trading signal according to the futures real-time quotation information and the futures real-time trading information;
s103, receiving the stock real-time quotation information and the stock real-time transaction record, and generating a stock forecast transaction signal according to the stock real-time quotation information and the stock real-time transaction record;
s104, according to the futures forecast trading signal and the stock forecast trading signal, trading of one or more futures and/or stocks is completed.
2. The method of claim 1, wherein the method comprises the steps of: in step S102 and step S103, the following steps are further performed:
generating a futures K line graph according to the real-time price quoted information of the futures, and publishing the K line graph on the Internet;
and generating a stock K line graph according to the stock real-time quotation information, and publishing the K line graph on the Internet.
3. The method of claim 1, wherein the method comprises the steps of: the real-time futures trading information and the real-time stock trading information respectively comprise trading time, trading varieties, trading quantity, trading direction, loss stopping information and filling stopping information.
4. The method of claim 1, wherein the method comprises the steps of: the futures forecast trading signals comprise futures forecast trading time and futures forecast trading varieties, and the stock forecast trading signals comprise stock forecast trading time and stock forecast trading varieties.
5. The method of claim 4, wherein the method comprises: the step S104 specifically includes the following steps:
s104a, receiving the futures forecast trading signal and the stock forecast trading signal;
s104b, screening the received futures forecast transaction signals and stock forecast transaction signals according to a preset standard to respectively obtain futures transaction signals and stock transaction signals;
s104c, according to the futures trading signal and the stock trading signal, completing the trading of one or more futures and/or stocks.
6. The method of claim 5, wherein the method comprises: the preset criteria in step S104b are:
judging whether the futures forecast transaction variety is profitable or not according to the past profit and loss condition of the futures forecast transaction signal medium-term shipment forecast transaction variety, if so, taking the futures forecast transaction signal as a futures transaction signal, and if not, not taking the futures transaction signal as the futures transaction signal;
and judging whether the stock predicted trading variety is profitable or not according to the past profit and loss condition of the stock predicted trading variety in the stock predicted trading signal, if so, taking the stock predicted trading signal as the stock trading signal, and if not, taking the stock predicted trading signal as the stock trading signal.
7. The method of claim 5, wherein the method comprises: in step S104c, before the exchange of futures and/or stocks, the following operations may be further performed:
the variety, stop loss value and stop filling value of futures or stocks to be traded can be set respectively.
8. A system for trading futures and stocks based on big data, comprising: the system comprises a data acquisition module, a transaction signal calculation module and a transaction module;
the data acquisition module is used for acquiring real-time quotes and real-time transaction records of all futures and stocks, and respectively acquiring real-time quote information of the futures, real-time transaction information of the futures, real-time quote information of the stocks and real-time transaction information of the stocks;
the trading signal calculation module is in communication connection with the data acquisition module and is used for receiving the futures real-time quotation information, the futures real-time trading information, the stock real-time quotation information and the stock real-time trading information and obtaining a futures predicted trading signal and a stock predicted trading signal;
the trading module is in communication connection with the trading signal calculation module and is used for completing trading of one or more futures and/or stocks according to the futures forecast trading signal and the stock forecast trading signal.
9. The big-data based futures and stock trading system of claim 8, wherein: the trading signal calculation module can also respectively generate a futures K line graph and a stock K line graph according to the futures real-time quotation information and the stock real-time quotation information, and publish the futures K line graph and the stock K line graph.
10. A futures and stock trading device based on big data, characterized in that: a processor and a memory communicatively coupled to the processor, the memory configured to store a computer program, the processor configured to execute the computer program to implement a method for trading big data based futures and stocks according to any one of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911423348.0A CN111145029A (en) | 2019-12-31 | 2019-12-31 | Futures and stock trading method, system and equipment based on big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911423348.0A CN111145029A (en) | 2019-12-31 | 2019-12-31 | Futures and stock trading method, system and equipment based on big data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111145029A true CN111145029A (en) | 2020-05-12 |
Family
ID=70523153
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911423348.0A Pending CN111145029A (en) | 2019-12-31 | 2019-12-31 | Futures and stock trading method, system and equipment based on big data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111145029A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111915436A (en) * | 2020-08-05 | 2020-11-10 | 北京金山云网络技术有限公司 | Digital asset assessment method, device, equipment and storage medium |
| CN113298660A (en) * | 2021-06-23 | 2021-08-24 | 深圳市荣亿达科技发展有限公司 | Stock futures trading management method, platform, device and storage medium |
| CN116342268A (en) * | 2023-01-04 | 2023-06-27 | 上甲数据服务(厦门)有限公司 | Futures data analysis method and system |
| CN116630048A (en) * | 2023-06-08 | 2023-08-22 | 深圳华锐分布式技术股份有限公司 | Trading method, device, equipment and medium based on futures quotation K line |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140101023A1 (en) * | 2011-05-24 | 2014-04-10 | Jung Woong Kim | Method and device for providing stock information |
| CN106355497A (en) * | 2016-09-12 | 2017-01-25 | 福建中金在线信息科技有限公司 | Automatic stock exchange method and device |
| CN106934716A (en) * | 2017-03-10 | 2017-07-07 | 燧石科技（武汉）有限公司 | Based on the multimode automated transaction system that network distribution type is calculated |
-
2019
- 2019-12-31 CN CN201911423348.0A patent/CN111145029A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140101023A1 (en) * | 2011-05-24 | 2014-04-10 | Jung Woong Kim | Method and device for providing stock information |
| CN106355497A (en) * | 2016-09-12 | 2017-01-25 | 福建中金在线信息科技有限公司 | Automatic stock exchange method and device |
| CN106934716A (en) * | 2017-03-10 | 2017-07-07 | 燧石科技（武汉）有限公司 | Based on the multimode automated transaction system that network distribution type is calculated |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111915436A (en) * | 2020-08-05 | 2020-11-10 | 北京金山云网络技术有限公司 | Digital asset assessment method, device, equipment and storage medium |
| CN111915436B (en) * | 2020-08-05 | 2024-02-23 | 北京金山云网络技术有限公司 | Digital asset assessment method, device, equipment and storage medium |
| CN113298660A (en) * | 2021-06-23 | 2021-08-24 | 深圳市荣亿达科技发展有限公司 | Stock futures trading management method, platform, device and storage medium |
| CN116342268A (en) * | 2023-01-04 | 2023-06-27 | 上甲数据服务(厦门)有限公司 | Futures data analysis method and system |
| CN116630048A (en) * | 2023-06-08 | 2023-08-22 | 深圳华锐分布式技术股份有限公司 | Trading method, device, equipment and medium based on futures quotation K line |
| CN116630048B (en) * | 2023-06-08 | 2023-12-22 | 深圳华锐分布式技术股份有限公司 | Trading method, device, equipment and medium based on futures quotation K line |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111145029A (en) | Futures and stock trading method, system and equipment based on big data | |
| US20190325521A1 (en) | System and Method For Processing and Displaying Quantity Information During User Configurable Time Periods | |
| KR101667697B1 (en) | Synchronized Processing of Data By Networked Computing Resources | |
| CN107534584B (en) | Coordinated processing of data through networked computing resources | |
| US5297032A (en) | Securities trading workstation | |
| US20140149273A1 (en) | Market Microstructure Data Method and Appliance | |
| US20170293980A1 (en) | System and method for managing processing resources of a computing system | |
| US20140317023A1 (en) | Stock information provision method and system for displaying a business growth cycle and calculating undervalued/overvalued stocks using same | |
| US7761388B2 (en) | Predicting a future price range for a desired volume | |
| CN109118012B (en) | Industrial dynamic multi-dimensional energy consumption cost prediction method, system, storage medium and terminal | |
| JP2000353196A (en) | Security trade aiding system | |
| US20180322576A1 (en) | Order life-cycle visualization | |
| AU2017258915A1 (en) | Systems, methods and computer program products for adaptive transaction cost estimation | |
| RU2622850C2 (en) | Method and server for processing product identifiers and machine-readable storage medium | |
| CN104573996A (en) | Automated quotation system for casting enterprises | |
| US10325319B2 (en) | Web platform with customized agents for automated web services | |
| CN113837684A (en) | Material price management method, device, equipment, storage medium and computer program | |
| JP2019106189A (en) | Unit transaction system | |
| CN208061256U (en) | A kind of electronic transaction strategy generating equipment | |
| JP2008243158A (en) | Portfolio automatic operation system | |
| EP2891129A2 (en) | Order allocation | |
| Galas et al. | A computational social science environment for financial/economic experiments | |
| CN113159941A (en) | Intelligent streaming transaction execution method and device | |
| CN113139835A (en) | Data processing method, data processing device, nonvolatile storage medium and processor | |
| AU2013201801A1 (en) | System and method for dynamically changing an electronic trade order quantity |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |