Team Name ： JingQiang
Track： steel price forecast for the futures market
Use Case ： Collect real-time steel price fluctuation data, market macro forecasts and statistical data on professional trading websites, and predict the average steel price in the next 1-3 months
Reason ： Steel mills need to formulate a reasonable market price as a monthly sales guide price to ensure steel mill sales and revenue
Expected results and benefits ： Collect real-time steel price fluctuation data, market macro forecasts and statistical data from professional trading websites on a daily basis, and build a quantitative model to run the model regularly at the beginning of each month to predict the monthly average steel price in the next 1-3 months and guide sales pricing.
Technology ： Marchine Learning
Region ： ASIA
Team Lead ： Shao Zhuming
Team members ： Zhou Wei
