The relationship between securities analysis tools and data mining must have been studied. This is only a preliminary idea, which is far from mature, and the depth of this idea is not enough because of too little homework. Write it down first, form a general framework, and then slowly fill in the content to further deepen.

Quantitative analysis technology of securities

Among the main analysis methods of securities investment, one is called quantitative analysis. In short, quantitative analysis is to use a lot of data and some quantitative mathematical models to study the securities market, which involves the use of big data and the creation and application of numerical processing models.

data mining

Application example of data mining in quantitative analysis

1. Three to five examples.

The application prospect in the current securities analysis profession: the requirements of programmers as securities analysts and securities analysts as programmers are:

1. Must have a knowledge background of numerical analysis.

2. Skilled data mining technology must have at least 5 years of full-time accumulation.

4. Reliable psychological level, able to maintain a rational attitude, even in the stock market.