Steel Price Forecast Based On Logistics Data

Steel is usually referred to as an industrialized food,and it is currently the most commonly used metal material.It has been widely used in other social economic production and different application fields of industrial life.It is used in other social economic production.It has also been widely used in different application fields of industrial life.It is a basic strategic product,and it is also indispensable.In the national economy,the steel industry is like the mother of all industries.Industrialization,which is inseparable from the lifeline of the country,is the lifeline of the country.Even though it has gone through the process of industrialization and is developing into a new industrialized country,the steel industry and high-end steel industry are still indispensable.Throughout the historical trend of steel prices,steel prices basically show a market trend of large fluctuations.We have analyzed the chain structure of the steel industry and found that the main reason for the fluctuations in the steel industry is the influence of upstream iron ore prices.Downstream steel companies It also has an impact on the demand for steel.Faced with the fluctuation of steel prices,the majority of steel merchants,steel trading companies,iron manufacturers,and real estate construction companies are facing huge price risks.Even third-party logistics units are also facing huge pressure during the settlement period.Although there are many factors that affect the price of steel,the volume of steel freight undertaken by logistics can reflect market supply and demand to a certain extent.Therefore,according to the internal transmission logic,the steel price predicted by steel freight volume has a certain degree feasibility.However,the impact of supply and demand is certain.And because the steel freight business volume undertaken by logistics companies can reflect market supply and demand to a certain extent,it is feasible to predict steel prices through steel freight business volume based on this internal transmission logic.Because of this,this article takes the steel freight data of the Lahuobao logistics platform as the main body and combines other data sources,extracts the important dimensions of the data as the main economic variables through the relevant methods of econometric analysis,and uses machine learning technology Perform modeling.It is hoped that according to the change trend of steel transportation volume and steel price trend,the internal connection between the two can be found,and the prediction model of the main influencing factors can be established,to provide a basis for decision-making reference for production and sales enterprises.At the same time,it is hoped that by exploring the relationship between steel transportation volume and steel price trends,it can provide a model reference for the price trends of other bulk products such as fertilizers,cement,and grain,to predict the economic operation and trends of the entire country and provide management Provide the basis for decision-making.Judging from the effects of the model experiment in this article,the model basically fits the steel market trend,indicating that there is a certain internal connection between the steel transportation volume and the steel price.The method of predicting the steel price trend based on the change trend of the steel transportation volume has a certain reference.significance.The experimental results also make important suggestions for us to further predict the prices of various large commodities in the future: in the short term,especially in the high-frequency trading environment,the law of price changes is stronger;in the long run,the specific location of price changes is very It is difficult to determine,but the price trend will show a stronger trend.Then,we can predict the price of the steel market based on the logistics model of steel transportation volume,and it is very necessary to carry out price management in advance and take timely risk prevention measures.Due to the decentralization and price discovery function of the steel futures market,more and more steel producers and steel traders join the futures market to lock in costs or profits and minimize price risks.According to the results of the model,the order of participation of all parties in the steel market can prevent risks and protect their own interests in advance,which is conducive to the healthy development of the steel market and makes judgments about the economic operation trend of the entire country.Therefore,it is also beneficial to judge the healthy development of the steel market and the economic operation trend of the whole country.The innovation of this paper is that based on the machine learning model,the use of logistics platform’s logistics transportation data can predict the transaction price trend of steel and other commodities,to predict the economic operation and trend of the entire country,and provide managers with decision-making basis.