Abstract: Tin is a key mineral resource with a wide range of uses, and in order to maintain the international competitiveness of the tin industry, it is necessary to pay attention to the development of the industry chain; at the same time, in recent years, the price of tin metal has shown dramatic fluctuations, and the adoption of a reasonable approach to predict the price of tin metal is of great significance in safeguarding the development of the economy and the security of resources. This paper refines the tin industry chain according to the production process of tin products, combines the industry chain price fluctuation conduction mechanism as a whole with the deep learning combination prediction model, and at the same time, constructs the time convolution bi-directional gated recurrent unit fusion attention mechanism model, i.e., the TCN-BiGRU-Attention combination model, to predict the price of tin metal, and draw the following conclusions: ① Price fluctuations of other products in the upstream and downstream of the tin industry chain as well as product price fluctuations in the tin manufacturing process will cause changes in the price of tin ingots through the conduction effect of the tin industry chain, and the international price of tin ingots will also have an impact on the domestic price of tin ingots, and the industry chain factors should be integrated into the process of forecasting the price of tin metal in order to improve the accuracy of price forecasts as well as the industry chain’s efficiency and responsiveness. ② The deep learning combination model can effectively reduce the error and improve the prediction accuracy of tin metal prices compared to a single deep learning model, which is closer to the real value, and the addition of Attention mechanism can improve the prediction performance of the model. ③ The error of the price prediction results after considering the industry chain factor is reduced than that of the price prediction results without considering the industry chain factor, and shows better results in the fit of the graph, especially the fit between the high value and the low value. In order to maintain the stability of the tin market, attention should be paid to the impact of the industry chain transmission mechanism on price forecasts, to international tin metal prices and other commodity prices, to reasonably forecast and timely regulate tin metal prices, and to safeguard the high-quality development of the economy and the security of the country’s strategic resources.