Transaction decision system based on risk control quantitative model

Abstract

The invention mainly belongs to the transaction decision technology field and particularly relates to a transaction decision system based on a risk control quantitative model and a method. The system carries out multifactorial quantitative securities selecting and market timing and carries out real-time quantitative evaluation on investment risks, buy, sell, profit stop and loss stop instructions are provided through a client in real time, and the position risk state prompting information is further provided in real time; the system comprises an input module, a processing module, a transaction decision module and the client, wherein the client comprises an instruction output module. Through the system, an excellent transaction object and low-cost transaction opportunity are provided for the client through a multifactorial quantitative market timing model, simulation trial and error transaction is carried out through a risk control model, an error instruction is provided with a loss stop value, forced close out is realized, a profit stop value is provided for a correct instruction, and quantitative transaction or subjective transaction is provided.

Description

technical field [0001] The invention mainly belongs to the technical field of transaction decision-making, and in particular relates to a transaction decision-making system and method based on a risk control quantitative model. Background technique [0002] The rise of quantitative investment is inseparable from the vigorous development of the computer industry in the last century, the continuous improvement of financial markets and financial market theories. The current quantitative investment strategy can integrate the achievements of modern financial theory, statistics, mathematics, and computer science, and develop in the direction of complexity and diversity. The application of a large number of cutting-edge theories has also greatly enriched the extension and connotation of quantitative investment, and at the same time greatly enhanced the vitality of quantitative investment development. After more than half a century of development, quantitative investment has been i...

AI Technical Summary

Problems solved by technology

Relying on quantitative models for completely programmatic trading results is not ideal, but how to clearly and clearly define when to use quantitative trading decisions and when to use subjective analysis methods has become a big difficulty in actual investment trading decisions

Therefore, although there are various analysis methods for trading decision-making, due to the cognitive bias of research and development concepts and implementation technologies, it is really possible to clearly give the time point of buying and selling in real time, objectively control trading risks, and subjectively obtain There are not many quantitative trading decision-making schemes with reasonable maximum returns and sustainable and stable profits. As a result, investors lack auxiliary trading tools, credulous rumors, blind transactions, and repeated losses

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