CN110807705A - Futures automatic trading method and system based on artificial intelligence - Google Patents
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Abstract
The invention provides a futures automatic trading method based on artificial intelligence, which is characterized in that an automatic trading system collects and stores real-time trading market data and historical trading market data, and sends the historical trading market data to the artificial intelligence trading system; generating an advantageous transaction strategy database by an artificial intelligent transaction system based on historical transaction market data; the artificial intelligent trading system sends the dominant trading strategy database to the automatic trading system; generating, by the automated transaction system, a transaction message and a transaction detail report based on one or more dominant transaction policies in a dominant transaction policy database; the automated transaction system sends a transaction message to the exchange and a transaction details report to the user mobile terminal. The method can provide professional opinions based on big data analysis and mathematical operation for investors without special knowledge, and improve the profit opportunities of the investors.
Description
Technical Field
The invention relates to the field of artificial intelligence application, in particular to an automatic futures trading method and system based on artificial intelligence.
Background
With the development of market economy and the addition of WTO in China, the risk avoidance requirements of domestic enterprises are increased, the futures market is required to play a positive role in price discovery, risk avoidance and the like, and the position of the futures market in national economy is increasingly enhanced. These changes place new demands on the futures market, which objectively require that the futures market have comparable market size and market liquidity. Therefore, according to the economic development of the market in China and the development condition of the related spot market, the system innovation is carried out in a timely manner by combining the actual development condition of the future market, and relevant contracts, rules and systems of the future market are continuously adjusted and perfected to enable the future market to adapt to the economic development. One of the main functions of the futures market is to transfer spot market risk, but the risk transfer is not equal to risk elimination, but rather the risk of price fluctuation of the spot market is transferred to the futures market, where investors become the recipients of the risk. In addition, since futures are traded in a deposit manner, the futures market is a high-efficiency, high-risk, high-profit market. The futures exchange, as a central counterparty of the futures market, normally bears no market risk but a credit risk.
The information disclosed in this background section is only for enhancement of understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art.
Disclosure of Invention
The invention aims to provide a futures automatic trading method and a futures automatic trading system based on artificial intelligence, which can overcome the defects of the prior art.
In order to achieve the above object, the present invention provides an automatic futures trading method based on artificial intelligence, which is characterized in that: the futures automatic trading method based on artificial intelligence comprises the following steps:
collecting real-time transaction market data and historical transaction market data by an automatic transaction system;
the automatic trading system stores real-time trading market data and historical trading market data, and meanwhile, the historical trading market data are sent to the artificial intelligent trading system;
generating an advantageous transaction strategy database by an artificial intelligent transaction system based on historical transaction market data;
the artificial intelligent trading system sends the dominant trading strategy database to the automatic trading system;
generating, by the automated transaction system, a transaction message and a transaction detail report based on one or more dominant transaction policies in a dominant transaction policy database;
the automatic transaction system sends the transaction message to the exchange and sends the transaction detail report to the user mobile terminal;
the artificial intelligence trading system generates an advantageous trading strategy database based on historical trading market data through the following steps:
extracting a first graph with respect to a correlation between time and price for a first transaction object from historical transaction market data;
performing image processing on the first graph;
extracting characteristic points in the first graph subjected to image processing;
based on a neural network algorithm, establishing an incidence relation between the characteristic point and the profit condition of the first transaction object;
and if the profit of the first trading object is better than the first preset value, storing the established association relationship between the characteristic point and the profit of the first trading object into the superior trading strategy database.
In a preferred embodiment, the step of generating, by the automated trading system, the trading message and the trading detail report based on one or more dominant trading policies in the dominant trading policy database specifically comprises the steps of:
monitoring real-time transaction market data for a first transaction object;
extracting real-time trading market data for the first trading object that meets predetermined requirements to establish a second graph for the first trading object with respect to a correlation between time and real-time price;
performing image processing on the second graph;
extracting characteristic points in the second graph subjected to image processing;
predicting future profit situations of the first trading objects based on the established incidence relation between the characteristic points and the profit situations of the first trading objects and the characteristic points in the image-processed second graph;
if the future profitability of the first transaction object is better than the second predetermined value, a transaction message is generated along with a transaction details report.
In a preferred embodiment, the generating the dominant trading strategy database by the artificial intelligence trading system based on the historical trading market data further comprises the following steps:
a. extracting a third graph with respect to a correlation between time and price for the second transaction object from the historical transaction market data;
b. performing image processing on the third graph;
c. extracting characteristic points in the third graph subjected to image processing;
d. based on a neural network algorithm, establishing an incidence relation between the characteristic point and the profit condition of the second transaction object;
e. if the profit condition of the second trading object is better than a third preset value, storing the established association relationship between the characteristic point and the profit condition of the second trading object into an advantageous trading strategy database;
repeating steps a-e to generate a dominant trading strategy for other trading objects.
In a preferred embodiment, the method for automatic futures trading based on artificial intelligence further comprises the following steps:
receiving an information query message transmitted by a user mobile terminal;
in response to receiving the information query message, calling real-time transaction market data and historical transaction market data by the automatic transaction system;
and the automatic transaction system sends real-time transaction market data and historical transaction market data to the user mobile terminal.
In a preferred embodiment, if a termination transaction instruction sent by the user's mobile terminal is received, a termination transaction message is sent to the exchange to terminate the transaction currently in progress.
The invention also provides a futures automatic trading system based on artificial intelligence, which is characterized in that: the futures automatic trading system based on artificial intelligence comprises:
an artificial intelligence trading system;
the automatic transaction system is in communication connection with the transaction machine and the user mobile terminal, and is in communication connection with the artificial intelligent transaction system;
wherein the artificial intelligence trading system and the automatic trading system are configured to:
collecting real-time transaction market data and historical transaction market data by an automatic transaction system;
the automatic trading system stores real-time trading market data and historical trading market data, and meanwhile, the historical trading market data are sent to the artificial intelligent trading system;
generating an advantageous transaction strategy database by an artificial intelligent transaction system based on historical transaction market data;
the artificial intelligent trading system sends the dominant trading strategy database to the automatic trading system;
generating, by the automated transaction system, a transaction message and a transaction detail report based on one or more dominant transaction policies in a dominant transaction policy database;
the automatic transaction system sends the transaction message to the exchange and sends the transaction detail report to the user mobile terminal;
the artificial intelligence trading system generates an advantageous trading strategy database based on historical trading market data through the following steps:
extracting a first graph with respect to a correlation between time and price for a first transaction object from historical transaction market data;
performing image processing on the first graph;
extracting characteristic points in the first graph subjected to image processing;
based on a neural network algorithm, establishing an incidence relation between the characteristic point and the profit condition of the first transaction object;
and if the profit of the first trading object is better than the first preset value, storing the established association relationship between the characteristic point and the profit of the first trading object into the superior trading strategy database.
In a preferred embodiment, the step of generating the transaction message and the transaction detail report by the automated transaction system based on one or more dominant transaction policies in the dominant transaction policy database specifically comprises the steps of:
monitoring real-time transaction market data for a first transaction object;
extracting real-time trading market data for the first trading object that meets predetermined requirements to establish a second graph for the first trading object with respect to a correlation between time and real-time price;
performing image processing on the second graph;
extracting characteristic points in the second graph subjected to image processing;
predicting future profit situations of the first trading objects based on the established incidence relation between the characteristic points and the profit situations of the first trading objects and the characteristic points in the image-processed second graph;
if the future profitability of the first transaction object is better than the second predetermined value, a transaction message is generated along with a transaction details report.
In a preferred embodiment, the generating the dominant trading strategy database by the artificial intelligence trading system based on the historical trading market data further comprises the following steps:
a. extracting a third graph with respect to a correlation between time and price for the second transaction object from the historical transaction market data;
b. performing image processing on the third graph;
c. extracting characteristic points in the third graph subjected to image processing;
d. based on a neural network algorithm, establishing an incidence relation between the characteristic point and the profit condition of the second transaction object;
e. if the profit condition of the second trading object is better than a third preset value, storing the established association relationship between the characteristic point and the profit condition of the second trading object into an advantageous trading strategy database;
repeating steps a-e to generate a dominant trading strategy for other trading objects.
In a preferred embodiment, the automated trading system is configured to:
receiving an information query message transmitted by a user mobile terminal;
in response to receiving the information query message, calling real-time transaction market data and historical transaction market data;
and sending the real-time transaction market data and the historical transaction market data to the user mobile terminal.
In a preferred embodiment, the automated trading system is configured to: if a transaction termination instruction sent by the user mobile terminal is received, a transaction termination message is sent to the exchange to terminate the transaction currently in progress.
Compared with the prior art, the invention has the following advantages: although futures investment is an investment activity with high income, high income necessarily means high risk, and if investors do not have a certain degree of professional knowledge, investment loss is very likely to occur, and even for deep investors, the investment loss may be caused by missing some key factors sometimes. The invention provides a method for automatically generating investment strategies based on artificial intelligence analysis, which can provide professional opinions based on big data analysis and mathematical operation for investors without special knowledge and improve the profit opportunities of the investors; meanwhile, the method of the invention can also provide some reference opinions for some qualified investors, thereby preventing the qualified investors from having investment errors.
Drawings
FIG. 1 is a flow diagram of a method according to an embodiment of the invention.
FIG. 2 is a block diagram of a system according to an embodiment of the invention.
Detailed Description
The following detailed description of the present invention is provided in conjunction with the accompanying drawings, but it should be understood that the scope of the present invention is not limited to the specific embodiments.
Throughout the specification and claims, unless explicitly stated otherwise, the word "comprise", or variations such as "comprises" or "comprising", will be understood to imply the inclusion of a stated element or component but not the exclusion of any other element or component.
FIG. 1 is a flow diagram of a method according to an embodiment of the invention. As shown in the figure, the method of the present invention comprises the steps of:
step 101: collecting real-time transaction market data and historical transaction market data by an automatic transaction system;
step 102: the automatic trading system stores real-time trading market data and historical trading market data, and meanwhile, the historical trading market data are sent to the artificial intelligent trading system;
step 103: generating an advantageous transaction strategy database by an artificial intelligent transaction system based on historical transaction market data;
step 104: the artificial intelligent trading system sends the dominant trading strategy database to the automatic trading system;
step 105: generating, by the automated transaction system, a transaction message and a transaction detail report based on one or more dominant transaction policies in a dominant transaction policy database;
step 106: the automatic transaction system sends the transaction message to the exchange and sends the transaction detail report to the user mobile terminal;
the artificial intelligence trading system generates an advantageous trading strategy database based on historical trading market data through the following steps: extracting a first graph with respect to a correlation between time and price for a first transaction object from historical transaction market data; performing image processing on the first graph; extracting characteristic points in the first graph subjected to image processing; based on a neural network algorithm, establishing an incidence relation between the characteristic point and the profit condition of the first transaction object; and if the profit of the first trading object is better than the first preset value, storing the established association relationship between the characteristic point and the profit of the first trading object into the superior trading strategy database.
In a preferred embodiment, the step of generating, by the automated trading system, the trading message and the trading detail report based on one or more dominant trading policies in the dominant trading policy database specifically comprises the steps of:
monitoring real-time transaction market data for a first transaction object;
extracting real-time trading market data for the first trading object that meets predetermined requirements to establish a second graph for the first trading object with respect to a correlation between time and real-time price;
performing image processing on the second graph;
extracting characteristic points in the second graph subjected to image processing;
predicting future profit situations of the first trading objects based on the established incidence relation between the characteristic points and the profit situations of the first trading objects and the characteristic points in the image-processed second graph;
if the future profitability of the first transaction object is better than the second predetermined value, a transaction message is generated along with a transaction details report.
In a preferred embodiment, the generating the dominant trading strategy database by the artificial intelligence trading system based on the historical trading market data further comprises the following steps:
a. extracting a third graph with respect to a correlation between time and price for the second transaction object from the historical transaction market data;
b. performing image processing on the third graph;
c. extracting characteristic points in the third graph subjected to image processing;
d. based on a neural network algorithm, establishing an incidence relation between the characteristic point and the profit condition of the second transaction object;
e. if the profit condition of the second trading object is better than a third preset value, storing the established association relationship between the characteristic point and the profit condition of the second trading object into an advantageous trading strategy database;
repeating steps a-e to generate a dominant trading strategy for other trading objects.
In a preferred embodiment, the method for automatic futures trading based on artificial intelligence further comprises the following steps:
receiving an information query message transmitted by a user mobile terminal;
in response to receiving the information query message, calling real-time transaction market data and historical transaction market data by the automatic transaction system;
and the automatic transaction system sends real-time transaction market data and historical transaction market data to the user mobile terminal.
In a preferred embodiment, if a termination transaction instruction sent by the user's mobile terminal is received, a termination transaction message is sent to the exchange to terminate the transaction currently in progress.
FIG. 2 is a block diagram of a system according to an embodiment of the invention. The futures automatic trading system based on artificial intelligence comprises:
an artificial intelligence transaction system 204;
the automatic transaction system 203 is in communication connection with the exchange (201 a-201x in the figure 2) and the user mobile terminal (202 a-202x in the figure 2), and is in communication connection with the artificial intelligence transaction system;
wherein the artificial intelligence trading system and the automatic trading system are configured to:
collecting real-time transaction market data and historical transaction market data by an automatic transaction system;
the automatic trading system stores real-time trading market data and historical trading market data, and meanwhile, the historical trading market data are sent to the artificial intelligent trading system;
generating an advantageous transaction strategy database by an artificial intelligent transaction system based on historical transaction market data;
the artificial intelligent trading system sends the dominant trading strategy database to the automatic trading system;
generating, by the automated transaction system, a transaction message and a transaction detail report based on one or more dominant transaction policies in a dominant transaction policy database;
the automatic transaction system sends the transaction message to the exchange and sends the transaction detail report to the user mobile terminal;
the artificial intelligence trading system generates an advantageous trading strategy database based on historical trading market data through the following steps:
extracting a first graph with respect to a correlation between time and price for a first transaction object from historical transaction market data;
performing image processing on the first graph;
extracting characteristic points in the first graph subjected to image processing;
based on a neural network algorithm, establishing an incidence relation between the characteristic point and the profit condition of the first transaction object;
and if the profit of the first trading object is better than the first preset value, storing the established association relationship between the characteristic point and the profit of the first trading object into the superior trading strategy database.
In a preferred embodiment, the step of generating the transaction message and the transaction detail report by the automated transaction system based on one or more dominant transaction policies in the dominant transaction policy database specifically comprises the steps of:
monitoring real-time transaction market data for a first transaction object;
extracting real-time trading market data for the first trading object that meets predetermined requirements to establish a second graph for the first trading object with respect to a correlation between time and real-time price;
performing image processing on the second graph;
extracting characteristic points in the second graph subjected to image processing;
predicting future profit situations of the first trading objects based on the established incidence relation between the characteristic points and the profit situations of the first trading objects and the characteristic points in the image-processed second graph;
if the future profitability of the first transaction object is better than the second predetermined value, a transaction message is generated along with a transaction details report.
In a preferred embodiment, the generating the dominant trading strategy database by the artificial intelligence trading system based on the historical trading market data further comprises the following steps:
a. extracting a third graph with respect to a correlation between time and price for the second transaction object from the historical transaction market data;
b. performing image processing on the third graph;
c. extracting characteristic points in the third graph subjected to image processing;
d. based on a neural network algorithm, establishing an incidence relation between the characteristic point and the profit condition of the second transaction object;
e. if the profit condition of the second trading object is better than a third preset value, storing the established association relationship between the characteristic point and the profit condition of the second trading object into an advantageous trading strategy database;
repeating steps a-e to generate a dominant trading strategy for other trading objects.
In a preferred embodiment, the automated trading system is configured to:
receiving an information query message transmitted by a user mobile terminal;
in response to receiving the information query message, calling real-time transaction market data and historical transaction market data;
and sending the real-time transaction market data and the historical transaction market data to the user mobile terminal.
In a preferred embodiment, the automated trading system is configured to: if a transaction termination instruction sent by the user mobile terminal is received, a transaction termination message is sent to the exchange to terminate the transaction currently in progress.
The foregoing descriptions of specific exemplary embodiments of the present invention have been presented for purposes of illustration and description. It is not intended to limit the invention to the precise form disclosed, and obviously many modifications and variations are possible in light of the above teaching. The exemplary embodiments were chosen and described in order to explain certain principles of the invention and its practical application to enable one skilled in the art to make and use various exemplary embodiments of the invention and various alternatives and modifications as are suited to the particular use contemplated. It is intended that the scope of the invention be defined by the claims and their equivalents.
Claims (10)
1. An automatic futures trading method based on artificial intelligence is characterized in that: the futures automatic trading method based on artificial intelligence comprises the following steps:
collecting real-time transaction market data and historical transaction market data by an automatic transaction system;
the automatic transaction system stores the real-time transaction market data and the historical transaction market data, and simultaneously sends the historical transaction market data to the artificial intelligent transaction system;
generating an advantageous transaction strategy database by the artificial intelligent transaction system based on the historical transaction market data;
sending, by the artificial intelligence trading system, the dominant trading policy database to the automated trading system;
generating, by the automated trading system, a trading message and a trading detail report based on one or more dominant trading policies in the dominant trading policy database;
sending the transaction message to a transaction exchange and sending the transaction detail report to a user mobile terminal by the automatic transaction system;
wherein the artificial intelligence transaction system generates an advantageous transaction policy database based on the historical transaction market data by:
extracting a first graph with respect to a correlation between time and price for a first transaction object from the historical transaction market data;
performing image processing on the first graph;
extracting characteristic points in the first graph subjected to image processing;
based on a neural network algorithm, establishing an incidence relation between the characteristic point and the profit condition of the first transaction object;
and if the profit of the first trading object is better than a first preset value, storing the established association relationship between the characteristic point and the profit of the first trading object into the superior trading strategy database.
2. The automated futures trading method based on artificial intelligence as claimed in claim 1, wherein: wherein the step of generating a transaction message and a transaction detail report by the automated transaction system based on one or more dominant transaction policies in the dominant transaction policy database specifically comprises the steps of:
monitoring real-time transaction market data for a first transaction object;
extracting real-time trading market data for the first trading object that meets predetermined requirements to establish a second graph for the first trading object with respect to a correlation between time and real-time price;
performing image processing on the second graph;
extracting characteristic points in the second graph subjected to image processing;
predicting future profit situations of the first trading objects based on the established incidence relation between the characteristic points and the profit situations of the first trading objects and the characteristic points in the image-processed second graph;
if the future profitability of the first transaction object is better than the second predetermined value, a transaction message is generated along with a transaction details report.
3. The automated futures trading method based on artificial intelligence of claim 2, wherein: the artificial intelligence trading system generates an advantageous trading strategy database based on the historical trading market data and further comprises the following steps:
a. extracting a third graph with respect to a correlation between time and price for a second trading object from the historical trading market data;
b. performing image processing on the third graph;
c. extracting characteristic points in the third graph subjected to image processing;
d. establishing an incidence relation between the characteristic point and the profit condition of the second transaction object based on a neural network algorithm;
e. if the profit of the second trading object is better than a third preset value, storing the established association relationship between the characteristic point and the profit of the second trading object into the dominant trading strategy database;
repeating the steps a-e to generate the dominant trading strategy for other trading objects.
4. The automated futures trading method based on artificial intelligence as claimed in claim 3, wherein: the futures automatic trading method based on artificial intelligence further comprises the following steps:
receiving an information query message transmitted by the user mobile terminal;
in response to receiving the information query message, invoking, by the automated trading system, real-time trading market data and historical trading market data;
and the automatic transaction system sends real-time transaction market data and historical transaction market data to the user mobile terminal.
5. The automated futures trading method based on artificial intelligence as claimed in claim 4, wherein: and if a transaction termination instruction sent by the mobile terminal of the user is received, sending a transaction termination message to the exchange to terminate the transaction currently in progress.
6. The utility model provides a futures automatic transaction system based on artificial intelligence which characterized in that: the automatic futures trading system based on artificial intelligence comprises:
an artificial intelligence trading system;
the automatic transaction system is in communication connection with a transaction machine and a user mobile terminal, and is in communication connection with the artificial intelligent transaction system;
wherein the artificial intelligence transaction system and the automated transaction system are configured to:
collecting real-time transaction market data and historical transaction market data by an automatic transaction system;
the automatic transaction system stores the real-time transaction market data and the historical transaction market data, and simultaneously sends the historical transaction market data to the artificial intelligent transaction system;
generating an advantageous transaction strategy database by the artificial intelligent transaction system based on the historical transaction market data;
sending, by the artificial intelligence trading system, the dominant trading policy database to the automated trading system;
generating, by the automated trading system, a trading message and a trading detail report based on one or more dominant trading policies in the dominant trading policy database;
sending the transaction message to a transaction exchange and sending the transaction detail report to a user mobile terminal by the automatic transaction system;
wherein the artificial intelligence transaction system generates an advantageous transaction policy database based on the historical transaction market data by:
extracting a first graph with respect to a correlation between time and price for a first transaction object from the historical transaction market data;
performing image processing on the first graph;
extracting characteristic points in the first graph subjected to image processing;
based on a neural network algorithm, establishing an incidence relation between the characteristic point and the profit condition of the first transaction object;
and if the profit of the first trading object is better than a first preset value, storing the established association relationship between the characteristic point and the profit of the first trading object into the superior trading strategy database.
7. The automated futures trading system based on artificial intelligence of claim 6, wherein: generating, by the automated trading system, a trading message and a trading detail report based on one or more dominant trading policies in the dominant trading policy database specifically includes the steps of:
monitoring real-time transaction market data for a first transaction object;
extracting real-time trading market data for the first trading object that meets predetermined requirements to establish a second graph for the first trading object with respect to a correlation between time and real-time price;
performing image processing on the second graph;
extracting characteristic points in the second graph subjected to image processing;
predicting future profit situations of the first trading objects based on the established incidence relation between the characteristic points and the profit situations of the first trading objects and the characteristic points in the image-processed second graph;
if the future profitability of the first transaction object is better than the second predetermined value, a transaction message is generated along with a transaction details report.
8. The automated futures trading system based on artificial intelligence of claim 7, wherein: the artificial intelligence trading system generates an advantageous trading strategy database based on the historical trading market data and further comprises the following steps:
a. extracting a third graph with respect to a correlation between time and price for a second trading object from the historical trading market data;
b. performing image processing on the third graph;
c. extracting characteristic points in the third graph subjected to image processing;
d. establishing an incidence relation between the characteristic point and the profit condition of the second transaction object based on a neural network algorithm;
e. if the profit of the second trading object is better than a third preset value, storing the established association relationship between the characteristic point and the profit of the second trading object into the dominant trading strategy database;
repeating the steps a-e to generate the dominant trading strategy for other trading objects.
9. The automated futures trading system based on artificial intelligence of claim 8, wherein: the automated transaction system is configured to:
receiving an information query message transmitted by the user mobile terminal;
in response to receiving the information query message, calling real-time transaction market data and historical transaction market data;
and sending real-time transaction market data and historical transaction market data to the user mobile terminal.
10. The automated futures trading system based on artificial intelligence of claim 9, wherein: the automated transaction system is configured to: and if a transaction termination instruction sent by the mobile terminal of the user is received, sending a transaction termination message to the exchange to terminate the transaction currently in progress.
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| CN112598526A (en) * | 2021-03-04 | 2021-04-02 | 蚂蚁智信(杭州)信息技术有限公司 | Asset data processing method and device |
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| CN112598526A (en) * | 2021-03-04 | 2021-04-02 | 蚂蚁智信(杭州)信息技术有限公司 | Asset data processing method and device |
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Application publication date: 20200218 |