Big data funds have been around since 2014. The biggest advantage is that they can reduce the risks of active management and avoid some shortcomings of human nature, making the overall expected annualized return rate higher.

With the advent of the intelligent era, big data funds will also usher in the spring. The editor below will give you a detailed introduction to big data funds.

1. What is a big data fund?

Big Data Fund: "Big data" is a massive, high-growth and diverse information asset that requires new processing models to have stronger decision-making power, insight discovery and process optimization capabilities.

Big data funds use the unique insight and discovery power of "big data" and massive information assets to establish quantitative models to select stocks for investment.

2. What are the characteristics of big data funds?

The biggest difference between big data funds and traditional funds is that big data funds introduce big data factors.

For example: 1. Baifa 100 Index - the search factor calculates the total search volume and search increment for the stocks in the sample space for one month, and records them as total volume factor and incremental factor respectively; for the total search volume factor and incremental factor

Construct a factor analysis model, calculate the comprehensive score of each stock, and record it as a search factor; 2. Snowball Smart Selection Big Data 100 - Snowball Popularity Factor First, calculate the candidates based on the Snowball Smart Selection combination obtained in the second step

The smart selection portfolio coverage of the sample; secondly, according to the smart selection portfolio coverage of individual stocks, a corresponding score is given to the stock, which is recorded as the snowball popularity factor score of the individual stock.

3. Southern Sina Big Data - Sina Big Data factors the impact of page clicks on Sina Finance Channel, positive and negative article reports on Weibo, and news reports.