First of all, the data should be standardized, because the dimensions of different data are inconsistent, so it must be dimensionless. Standardized data are analyzed by factor analysis (principal component method) and rotated by maximizing variance.

Write the scores of principal factors and the equation contribution rates of each principal factor, FJ = β1j * x1+β 2j * x2+β 3j * x3+β NJ * xn; Fj is the main component (j= 1, 2, m), X 1, X2, X3, Xn are all indicators, β 1j, β2j, β3j, βnj are the coefficient scores of all indicators in the main component Fj, and ej is used to express the equation contribution rate of Fj.

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By analyzing the supply and demand situation of futures commodities and its influencing factors, the changing trend of futures prices is explained and predicted. Futures trading is based on spot trading. There is a close relationship between futures price and spot price. The supply and demand of commodities and many factors affecting their supply and demand have an important impact on the commodity price in the spot market, and therefore will inevitably have an important impact on the futures price. Therefore, by analyzing the changes of commodity supply and demand and its influencing factors, it can help futures traders predict and grasp the basic trend of commodity futures price changes.