Improve efficiency: in the traditional investment and research process, investment and research personnel need to pay attention to and deal with all kinds of complicated information, including market data, news information, industry trends, company announcements, national policies and so on. Through the processing and analysis of all kinds of information, the influence and expectation on the underlying assets are given.
With the introduction of artificial intelligence technologies such as big data and machine learning, massive information can be quickly processed by computer algorithm model, and the corresponding results can be presented to financial investment researchers in a certain form, which can save a lot of time and energy for investment researchers and provide necessary support for their further analysis and investment decision.
Cost reduction: in the traditional field of financial investment and research, the labor cost of its investment and research personnel is extremely high, and the possibility of copying and popularizing the knowledge and experience of excellent investment and research personnel is low. Direct recruitment of investment and research personnel faces a lot of integration and running-in costs, while internal training of talents is an extremely long process.
Although the development cost of related platforms or modes of intelligent investment and research is high, the cost of replication, promotion and operation is extremely low, which can standardize the knowledge and experience of excellent investment and research personnel, promote them efficiently and reduce unnecessary communication, running-in and training costs.
Rational trading: everyone has emotions. In the process of analysis and investment transactions, it is difficult for financial investment researchers to be objective and rational and not affected by other irrational factors. Their analysis and research are more or less subjective, so unfairness and investment mistakes will inevitably occur in the process of analysis and investment transactions.
Intelligent investment and research is to make objective calculation and analysis and trading decision according to certain algorithm model and corresponding data, which is not affected by subjective irrational factors of human nature, thus making trading more objective and rational.
Strengthen supervision: there are strict compliance requirements in the field of financial investment and research, and people will inevitably make mistakes. The best example is all kinds of oolong finger incidents that happen from time to time in the financial market. There is a natural contradiction between the requirement of financial compliance and the inevitable mistakes of human beings, which is not a problem at all for the intelligent investment and research system.
Intelligent investment and research system can absorb all kinds of regulatory compliance rules and strictly abide by them without reservation. On the one hand, the intelligent investment and research system can improve the quality and efficiency of compliance supervision, on the other hand, it can also assist researchers to find risks and timely and accurately warn and avoid risks.