The Program Trading Model Of The CSI300Index Futures

CSI300index futures officially launched in April2010. Since then, the domestic program trading of stock index futures is gradually on the rise. Developed countries in Europe and the United States, quantitative trading is gradually replacing the artificial transactions to occupy an important position in the market, particularly in the market daily turnover. Domestic securities and derivatives trading market started late, with foreign countries, especially in Western developed countries mature capital market has a more obvious gap in the level of quantitative trading. With the constant improvement of the breeds of the domestic market transactions, believe domestic quantified Fair developed very rapidly..At present most of the domestic institutions and individuals so-called quantitative trading are "pseudo-quantitative trading. In fact, the original artificial transactions curing computer can identify the language or the rules, using a computer program to perform the transaction command. The artificial trading method is basically based on the traditional technical chart analysis and technical indicators analysis, there is no rigorous derivation of statistical or mathematical logic, the basis of reasonable financial theory as a support. There is a big gap between the real quantitative trading. The author is limited, only the ability to design similar to most domestic program trading model based on the technical analysis of indicators of program trading models.This article is for the characteristics of the Shanghai and Shenzhen300stock index futures, designed two sets of program trading model based on a different philosophy, and historical data back to test the feasibility of empirical transaction model to analyze the advantages and disadvantages of the two sets of model.Design program trading models have some defects in theory, but in the current domestic environment, there is still a certain practicality. Micro innovations of this article is to try to find a mechanism capable of integration into a model of two program trading models based on different trading ideas in each other to learn from each other to improve the stability of the trading model.