CN112732236A - Trend device implementation method for transaction investment and transaction investment method - Google Patents
Trend device implementation method for transaction investment and transaction investment method Download PDFInfo
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Abstract
The invention discloses a trend device implementation method for trading investment, which comprises the following steps: constructing a trend strategy algorithm according to the market conditions; a part of content generation requirement acquirer of the stripping trend strategy algorithm; acquiring the strategy requirement of a user through a requirement acquirer, and generating a corresponding trend device object by combining the strategy requirement with a trend strategy algorithm; accessing real-time data and controlling a trend device to execute a flow according to the real-time data; also discloses a transaction investment method; the method allows the user to flexibly modify the limiting conditions in the trend device after independently analyzing the market conditions, greatly enhances the control power of the user on the strategy and market condition analysis, and fully mobilizes the subjective initiative of the user and has enough participation sense because different users have different improvements on the strategy based on different comprehension. After data analysis, automatic trading according to the strategy and index conditions can be realized by a computer without compiling any codes, and a man-machine combined investment mode based on the strategy and index conditions is really realized.
Description
Technical Field
The invention relates to the technical field of programmed trading, in particular to a trender implementation method for trading investment and a trading investment method.
Background
Investment, as a unique behavior of human, has a history of thousands of years in the human society, and with the first proposal of the 'Dow theory' by Charles David at the end of the nineteenth century, the investment gradually enters the era of quantitative number from subjective assumption, and a large number of new investment methods and theories are generated. Through the development of modern computer technology, quantitative investment mode also caters to the prosperity period, wherein the representative is 'Wen Yi Fuxing fund' led by James-Simmons, which is known to the world with annual profit recovery rate of 35% on average in 20 continuous years, while the profit rate of Pafite in the same period is not more than 20%. Unlike most funds which are controlled by professional investors, the vintage revival fund is most distinctive in that the vintage revival fund is operated by a large number of natural science researchers such as high school mathematics, physics and the like, the algorithm is highly confidential, and the word of quantitative trading is also created by applying various mathematical tools to invest in financial markets such as futures and the like. However, for a long time, quantitative trading is only limited to investors with professional scientific literacy, mass investors are limited to fund, technology and information, most of the investors are hard to master quantitative technology, and the investors are often reduced to be objects harvested by an algorithm in a financial secondary trading investment market, which inevitably causes inequality of the financial secondary trading investment market, for example:
scene 1: there are a lot of high frequency algorithm traders in the future market in China, they reach the trading speed of millisecond or even subtlety level by using professional high frequency algorithm, what is more, the server is installed in the physical distance very close to the trading post, thus realize the trading speed of one step of fast people, which actually causes the physical objective inequality. In the presence of such professional algorithm organizations, mass investors often fall into the dilemma of falling when buying and rising when selling.
Scene 2: at present, if the public investors in China want to learn quantitative trading, most of the public investors need to use trading software with a quantitative programming function. However, some mainstream transaction software providers increase software use fee year by using their monopoly advantages, which makes it increasingly difficult for public investors to bear. In addition, the difficulty of quantitative programming learning is high, so that the number of investors with quantitative trading capacity in China is shrunk year by year. Therefore, the practice of part of mainstream transaction software providers not only damages the benefits of investors, but also indirectly causes that the quantitative investment industry in China is difficult to compete with overseas professional institutions.
Scene 3: in order to meet the requirement of mass investors on quantitative transaction in China, mass strategy providers are in the cross-country, and the mass strategy providers play a flag number for marketing activities without learning and programming of investors and providing excellent quantitative strategies for investors, while the actual strategies are not subjected to strict historical inspection and are only products under packaging marketing. Moreover, these strategies are basically in an encrypted manner, and the public investors have no way to know the principle method of the strategies, and the use of the black box strategy is easy to cause uncontrollable risks. This not only wastes a lot of time and money for investors, but also severely interferes with the healthy development of the domestic financial secondary trading market.
In reality, there are situations that people who know the technology can develop tools but do not know the investment, and cannot make the investment benefit by matching the investment, people who know the investment do not know the technology, and cannot develop tools for automatic operation, and most people cannot develop and realize automatic investment by themselves because they do not know the high investment and the technology. The pure automatic transaction has obvious defects that corresponding strategies cannot be flexibly adopted according to the trend of specific market conditions, and personnel cannot participate in the strategy.
Disclosure of Invention
In view of the above-mentioned shortcomings, the present invention provides a trending device implementation method for trading investment and a trading investment method, which liberate users from the dilemma of learning programming and greatly reduces the use threshold of quantization technology for mass investors.
In order to achieve the above purpose, the embodiment of the invention adopts the following technical scheme:
a trender-implemented method for trading investment, the trender-implemented method for trading investment comprising the steps of:
constructing a trend strategy algorithm according to the market conditions;
a part of content generation requirement acquirer of the stripping trend strategy algorithm;
acquiring the strategy requirement of a user through a requirement acquirer, and generating a corresponding trend device object by combining the strategy requirement with a trend strategy algorithm;
and accessing the real-time data and controlling a trend device to execute the process according to the real-time data.
According to one aspect of the present invention, the acquiring the policy requirement of the user by the requirement acquirer comprises:
loading information of a plurality of service objects in a current display page of a front end;
detecting an operation sent by a user in the display page;
identifying information of a business object corresponding to user operation;
and converting the information of the identified business object into the strategy requirement of the data analysis strategy algorithm.
According to one aspect of the invention, the operation issued by the user in the display page comprises: a user can draw a line on a corresponding K line graph of a display page by clicking a line drawing button, and line drawing data of the user is automatically converted into relevant parameters of a data analysis strategy algorithm.
According to an aspect of the present invention, the information for identifying the business object corresponding to the user operation includes:
when a user clicks a mouse, recording coordinate data of the mouse as a control point for drawing a line;
and reading K line data from the memory, and calculating according to the position relation of the coordinate data of the control point in the K line graph to obtain the K line data corresponding to the line drawing point.
According to one aspect of the invention, the trend policy algorithm is constructed according to market conditions and comprises: developing a large batch of packaged strategy code templates according to the quotation and the data, and constructing a trend strategy algorithm based on the trend quotation.
According to one aspect of the invention, the partial content generation requirement obtainer of the peeling trend policy algorithm comprises: the trend device is used as a large function to be coded based on a development platform and a programming language, a user-customized part is needed to be used as a variable of the trend device function, and a demand acquirer is generated at a front end when the trend device is started and is input from the front end by a user.
According to one aspect of the invention, the acquiring, by the requirement acquirer, the policy requirement of the user and the combining with the trend policy algorithm to generate the corresponding trender object comprises: judging whether the user strategy requirements acquired by the requirement acquirer meet the requirements for establishing the trend device or not; if not, returning text information which does not meet the requirements; if so, establishing a corresponding trend device object.
According to one aspect of the invention, the trender-implemented method for trading investment comprises: during the operation of the trend device, if needed, the user can change, pause and terminate the operation of the trend device at any time.
According to one aspect of the invention, the accessing real-time data and controlling a trender to execute a flow according to the real-time data comprises: and automatically calculating and judging according to the real-time data, and automatically executing a bill for the transaction account of the user when a specific trigger condition is reached.
A transactional investment method, comprising the steps of:
selecting a trender at the front end;
inputting strategy requirements through a requirement acquirer at the front end;
and sending an execution instruction to enable the background to execute the trend device to automatically trade and invest according to the real-time data.
The implementation of the invention has the advantages that: thousands of lines of strategy codes are integrated, modification permission of limiting conditions in part of strategies is provided for users, and the quantization strategy can be easily used by the users simply by selecting a plurality of interface operations without writing any code in use, so that the users are liberated from the predicament of learning programming, and the use threshold of the quantization technology for mass investors is greatly reduced. A great deal of time for learning programming, compiling strategies and optimizing the strategies is saved for vast investors; the method allows the user to flexibly modify the limiting conditions in the trend device after independently analyzing the market conditions, greatly enhances the control power of the user on the strategy and market condition analysis, and fully mobilizes the subjective initiative of the user and has enough participation sense because different users have different improvements on the strategy based on different comprehension. After data analysis, automatic trading according to the strategy and index conditions can be realized by a computer without compiling any codes, and a man-machine combined investment mode based on the strategy and index conditions is really realized.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a schematic diagram of a trender implementation for trading investment according to the present invention;
FIG. 2 is a diagram of a trender implementation architecture for trading investment according to the present invention;
FIG. 3 is a diagram of a trender program implementation for trading investment according to the present invention;
fig. 4 is a schematic flow chart of a trending machine algorithm for trading investment according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
As shown in fig. 1 and 2, a trender implementation method for trading investment, the trender implementation method for trading investment comprising the steps of:
step S1: constructing a trend strategy algorithm according to the market conditions;
developing a large batch of packaged strategy code templates according to the quotation and the data, and constructing a trend strategy algorithm based on the trend quotation. The trend refers to the market condition that the price continuously rises on one side or drops on one side; for example, a single-side continuous rising trend is formed by alternately combining a plurality of large rising wave bands and a plurality of small falling wave bands, and a starting point and an end point of the nearest rising wave band are selected by a user through a line drawing function, and the line drawing point is automatically transmitted to a background to perform a market data analysis link. Taking the term of stock contract agreement as an example, the semi-automatic strategy execution tool can automatically identify the next small-amplitude descending wave band, calculate the time and the price of the opening signal according to the self-contained data analysis strategy algorithm of the trend device when the next ascending wave band arrives, open the warehouse to buy the corresponding futures contract according to the preset of the user, and automatically start the warehouse opening condition by the trend device and sell the futures in the warehouse opening condition when the algorithm condition is met.
Step S2: a part of content generation requirement acquirer of the stripping trend strategy algorithm;
the acquiring of the policy requirement of the user through the requirement acquirer includes:
loading information of a plurality of service objects in a current display page of a front end;
detecting an operation sent by a user in the display page;
identifying information of a business object corresponding to user operation;
and converting the information of the identified business object into the strategy requirement of the data analysis strategy algorithm.
The system is provided with a front end and a back end, wherein the front end can be developed and realized on a Windows platform by using C + + and Qt frames, and a self-drawing mode is adopted in addition to a user interaction interface realized by the Qt frame.
In practical applications, the operation issued by the user in the display page includes: a user can draw a line on a corresponding K line graph of a display page by clicking a line drawing button, and line drawing data of the user is automatically converted into relevant parameters of a data analysis strategy algorithm.
In practical application, the information for identifying the business object corresponding to the user operation includes:
when a user clicks a mouse, recording coordinate data of the mouse as a control point for drawing a line;
and reading K line data from the memory, and calculating according to the position relation of the coordinate data of the control point in the K line graph to obtain the K line data corresponding to the line drawing point.
The partial content generation requirement obtainer of the stripping trend strategy algorithm comprises: the trend device is used as a large function to be coded based on a development platform and a programming language, a user-customized part is needed to be used as a variable of the trend device function, and a demand acquirer is generated at a front end when the trend device is started and is input from the front end by a user.
In this embodiment, the K-line diagram of the futures contract as the UI display interface is taken as an example, and when the K-line of a different cycle is selected, the color of the corresponding number representing the cycle becomes different from the numbers of the other cycles. The line drawing button on the interface belongs to a core function of a semi-automatic strategy, a user can draw a line on a K line graph of a corresponding futures contract by clicking the line drawing button, a tool automatically converts line drawing data of the user into related parameters of the semi-automatic strategy, the semi-automatic strategy setting can be completed quickly, and efficiency is greatly improved compared with a traditional keyboard parameter input mode. When the end point is drawn, when the end point is moved to a certain point position of K line opening price, closing price, highest price and lowest price, an end point prompting circle for drawing a line can automatically appear, and the accurate positioning of the point is facilitated. The corresponding relation of the K line data in the memory corresponding to the two ends of the graph is reserved in the K line graph, when the K line data corresponding to the drawn line is to be acquired, a data offset is calculated according to the position difference of the control point of the line to the left end point of the graph, and then the K line data of the graph is calculated according to the offset and the K line data corresponding to the left end point of the graph.
Each line in the drawing has a certain number of control points to control the line configuration. When the user clicks the "start drawing" button, the drawing enters the drawing mode, in which the user can perform the drawing operation. When a user clicks a left mouse button for the first time, the system considers that the user starts line drawing operation, the coordinate data of the mouse at the moment can be recorded and used as the data of a first control point, the user drags the mouse and changes the data of a second control point, when the user clicks the left mouse button again, the system locks the current control point data and judges whether all the control points of the type have set data or not, if the data are set, line drawing is finished, and if the data are not set, the next control point is started to be set until all the control points finish data setting.
The system serializes the line drawing data and the parameters into Json data, and the Json data is transmitted from the front end to the back end through a TCP connection.
Step S3: acquiring the strategy requirement of a user through a requirement acquirer, and generating a corresponding trend device object by combining the strategy requirement with a trend strategy algorithm;
the step of acquiring the policy requirements of the user through the requirement acquirer and generating the corresponding trend object by combining with the trend policy algorithm comprises the following steps:
the back end firstly judges whether the data transmitted by the front end meets the requirement of establishing the trend device, if not, text information which does not meet the requirement is returned to the front end, if so, a corresponding trend device object is established, corresponding trend device information is inserted into the MySQL database, and trend device object information is returned to the front end.
Step S4: and accessing the real-time data and controlling a trend device to execute the process according to the real-time data.
The accessing real-time data and controlling the trend device to execute the process according to the real-time data comprises the following steps: and automatically calculating and judging according to the real-time data, and automatically executing the opening and closing bill for the futures account of the user when a specific trigger condition is reached. In practical applications, the trender implementation method for trading investment further includes: during the operation of the trend device, if needed, the user can change, pause and terminate the operation of the trend device at any time.
The back end subscribes tick quotations of all contracts from a real disk link of a futures company through a quotation interface of CTP; generating a K-wire rule: and when the current tick minute timestamp is inconsistent with the last tick minute timestamp, generating a new K line, taking the current tick timestamp and the latest price as the timestamp and the high-low closing price of the K line, updating the closing price of the K line by the latest price of the same tick timestamp within the minute, comparing the latest price with the highest price and the lowest price of the K line, if the latest price is higher than the highest price, updating the highest price, and if the latest price is lower than the lowest price, updating the lowest price. The large-period K line needs to calculate a rule which accords with the time stamp of the period K line according to contract transaction time, and compares the rule with the tick time stamp, when a first tick which accords with the rule is encountered, a new period K line is generated, and then the K line is refreshed according to a minute K line mode, wherein the large-period K line which can be generated at present is 3, 5, 15, 30, 60, 90, 120, a day line and the like. When a tick comes, all the K line data and corresponding data indexes are generated and updated. To avoid delays, database operations are not involved and only a very small number of log writes are involved. And then carrying out logic judgment and state conversion in the trend device by using the latest tick price. During the operation of the trender, database and log related operations are avoided at other times than opening the leveling bin for database updating and logging. And when the back end receives the transaction account number and the password transmitted by the front end, the back end tries to log in the ctp transaction interface. When the login is successful, pushing the login success and necessary information of the user to the front end; and when the login fails, pushing login error information to the front end. The front end and the rear end are connected through a heartbeat mechanism. When the line is disconnected, the back end does not process, and after the front end is reconnected successfully, the account password is automatically uploaded for logging in. Disconnection reconnection to the futures company relies on the disconnection reconnection mechanism of ctp itself. The front end and the back end keep communication through long connection of the TCP, and when any state of the trend list is changed, the front end and the back end can send state data to each other instantly, so that the state synchronization is ensured. The TCP connection is ensured to be on-line through a heartbeat mechanism, and when the connection is disconnected, reconnection operation is triggered. When reconnection happens, a timer is started, and connection is continuously tried until the execution of the timer is cancelled after the connection is successful. And when the trend bill meets the opening and leveling condition, the back end reports the bill to the futures company through the logged ctp trading interface, updates the state of the trend bill and stores the state and parameter changes.
In this embodiment, as shown in fig. 3, the flow of the trend device is as follows:
step one, a user opens a trend device;
description of the drawings:
the trend device is a semi-automatic strategy developed on the basis of a trend tracking type quantization strategy, and has the core of trend tracking and semi-automation;
step two, determining the trade target, period and number of the next single hand;
description of the drawings:
trade marks, such as deformed steel 2105, iron ore 2105 and the like, can be futures, and can also be any securities or financial derivative assets such as stocks, options, foreign exchange, bonds, digital currency and the like;
a period, such as 1 minute, 3 minutes, 1 hour, etc., which may be any period of seconds, minutes, hours, days, weeks, months, years, or any other time unit;
the number of the lower single hand, which can also be called as the number of the hands of the transaction, the number of the opening bins and the like, can be any integer;
clicking a 'click line drawing' button to enter a line drawing state;
description of the drawings:
firstly, clicking a line drawing button can allow a user to directly realize self-setting and modification of algorithms, logics and parameters in a strategy in a K line drawing mode, and the method is a unique input mode;
drawing two end points on the K line graph by the user according to subjective judgment of the user, and connecting the two points to form a trend line;
description of the drawings:
the trend line can be a straight line, a ray and a line segment, can also be a straight line, a broken line and a curve, and can be one endpoint or a plurality of endpoints;
secondly, an endpoint determination trend line can be drawn on the K line graph, and the endpoint can also be determined in a numerical value input mode;
step five, setting a filling stopping strategy and a termination time, and confirming parameter setting and whether to start an active mode;
description of the drawings:
the filling strategy comprises the following steps: algorithm filling, price filling and tracking filling;
the termination time includes: intelligent termination, effective on the day, and permanent effectiveness;
thirdly, according to the difference of the contents which are stripped out and allowed to be modified by the user, the functions are correspondingly different, but the functions belong to semi-automatic strategies as long as the user is allowed to modify the algorithm, logic and parameters in the strategies;
step six, clicking a 'start' button to upload corresponding settings of a user to a server, inputting the corresponding settings into an existing semi-automatic strategy by the server, automatically performing operation and judgment according to real-time data of a target object, and automatically executing opening and reporting for a transaction account of the user when a specific trigger condition is reached;
description of the drawings:
after the trend list is started, the trend list can be operated on a server or a local computer of a user;
secondly, the trend device inputs the algorithm, logic and parameters set by the user into the existing semi-automatic strategy, thereby realizing the semi-automatic strategy which is highly autonomous and controllable by the user;
step seven, in the operation process of the trend list, if necessary, a user can change, pause and terminate the operation of the program at any time, so as to realize the manual intervention on the semi-automatic strategy;
description of the drawings:
the implementation process of the manual intervention program is also an important characteristic of the semi-automatic strategy.
Fig. 4 is a flowchart of the trend device algorithm according to the present embodiment.
The modification authority of the strategy core algorithm is provided for investors, so that the investors generate great control force for strategy operation. And the public investors are thoroughly liberated from the programming problem through the visualization, the writing and the optional processing of the relevant strategy codes.
Based on the human-computer combined trading mode, the execution force of a trader is improved, the emotional trading problem is avoided, the trading efficiency is improved, meanwhile, an investor can fully exert the subjective activity of the investor without any programming basis, the strategy is subjected to personalized and personalized transformation, the macroscopic analysis capability of the investor is complementary to the execution force advantage of a computer, and finally, the human-computer combination of investment decision is realized.
Example two
A transactional investment method, comprising the steps of:
step 1: selecting a trender at the front end;
step 2: inputting strategy requirements through a requirement acquirer at the front end;
and step 3: and sending an execution instruction to enable the background to execute the trend device to automatically trade and invest according to the real-time data. When executing in the background, the front-end operation modifies the trend device or stops executing the trend device.
The modification authority of the strategy core algorithm is provided for investors, so that the investors generate great control force for strategy operation. And the public investors are thoroughly liberated from the programming problem through the visualization, the writing and the optional processing of the relevant strategy codes.
Based on the human-computer combined trading mode, the execution force of a trader is improved, the emotional trading problem is avoided, the trading efficiency is improved, meanwhile, an investor can fully exert the subjective activity of the investor without any programming basis, the strategy is subjected to personalized and personalized transformation, the macroscopic analysis capability of the investor is complementary to the execution force advantage of a computer, and finally, the human-computer combination of investment decision is realized.
The implementation of the invention has the advantages that: thousands of lines of strategy codes are integrated, modification permission of limiting conditions in part of strategies is provided for users, and the quantization strategy can be easily used by the users simply by selecting a plurality of interface operations without writing any code in use, so that the users are liberated from the predicament of learning programming, and the use threshold of the quantization technology for mass investors is greatly reduced. A great deal of time for learning programming, compiling strategies and optimizing the strategies is saved for vast investors; the method allows the user to flexibly modify the limiting conditions in the trend device after independently analyzing the market conditions, greatly enhances the control power of the user on the strategy and market condition analysis, and fully mobilizes the subjective initiative of the user and has enough participation sense because different users have different improvements on the strategy based on different comprehension. After data analysis, automatic trading according to the strategy and index conditions can be realized by a computer without compiling any codes, and a man-machine combined investment mode based on the strategy and index conditions is really realized.
The above description is only an embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention disclosed herein are intended to be covered by the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (10)
1. A trender implementation for trading investment, the trender implementation for trading investment comprising the steps of:
constructing a trend strategy algorithm according to the market conditions;
a part of content generation requirement acquirer of the stripping trend strategy algorithm;
acquiring the strategy requirement of a user through a requirement acquirer, and generating a corresponding trend device object by combining the strategy requirement with a trend strategy algorithm;
and accessing the real-time data and controlling a trend device to execute the process according to the real-time data.
2. A trender implementation method for trading investment according to claim 1, wherein said obtaining policy requirements of a user through a requirements obtainer comprises:
loading information of a plurality of service objects in a current display page of a front end;
detecting an operation sent by a user in the display page;
identifying information of a business object corresponding to user operation;
and converting the information of the identified business object into the strategy requirement of the data analysis strategy algorithm.
3. A trender-implemented method for trading investment according to claim 2, wherein the user's actions in the display page include: a user can draw a line on a corresponding K line graph of a display page by clicking a line drawing button, and line drawing data of the user is automatically converted into relevant parameters of a data analysis strategy algorithm.
4. The trending machine implementation method for trading investment according to claim 3, wherein the information identifying the business object corresponding to the user operation comprises:
when a user clicks a mouse, recording coordinate data of the mouse as a control point for drawing a line;
and reading K line data from the memory, and calculating according to the position relation of the coordinate data of the control point in the K line graph to obtain the K line data corresponding to the line drawing point.
5. A trending mechanism implementation method for trading investment according to claim 1, wherein said construction of trend strategy algorithms according to market conditions includes: developing a large batch of packaged strategy code templates according to the quotation and the data, and constructing a trend strategy algorithm based on the trend quotation.
6. A trender implementation method for trading investment according to claim 1, wherein the partial content generation requirement obtainer of the peeling trend strategy algorithm comprises: the trend device is used as a large function to be coded based on a development platform and a programming language, a user-customized part is needed to be used as a variable of the trend device function, and a demand acquirer is generated at a front end when the trend device is started and is input from the front end by a user.
7. The trending machine implementation method for trading investment according to claim 1, wherein the obtaining of the user's policy requirements by the requirement obtainer in combination with a trending policy algorithm to generate a corresponding trending machine object comprises: judging whether the user strategy requirements acquired by the requirement acquirer meet the requirements for establishing the trend device or not; if not, returning text information which does not meet the requirements; if so, establishing a corresponding trend device object.
8. A trending machine implementation for trading investment according to any one of claims 1 to 7, comprising: during the operation of the trend device, if needed, the user can change, pause and terminate the operation of the trend device at any time.
9. A trender implementation method for trading investment according to claim 8, wherein said accessing real-time data and controlling a trender to execute a procedure according to real-time data comprises: and automatically calculating and judging according to the real-time data, and automatically executing a bill for the transaction account of the user when a specific trigger condition is reached.
10. A transactional investment method, characterized in that said transactional investment method comprises the steps of:
selecting a trender at the front end;
inputting strategy requirements through a requirement acquirer at the front end;
and sending an execution instruction to enable the background to execute the trend device to automatically trade and invest according to the real-time data.
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