Futures Risk Control Decision Support System

The trade of futures, being a kind of modern investment means, is getting increasinglyimportant to development of economy, with the development of the market economy. Therisk, which produce from the trade of futures, becomes the problem which the investor cannot but face. How to reduce futures risk, and gain the biggest profit, becomes researchcontent, which is widely paying attention.The futures price is affected by complex factors, such as the merchandise supplycondition, economy motion period, financial currency, ventures, the politics and policy,large investment institution manipulation. The market behavior of the futures has the largerspeculation-than stock and bond, brings many difficulties for the futures risk controlresearch. This article has discussed the realization method and the technical route aboutfutures risk control, through the price, the fund and so on a series of target to reflect thefutures risks, This article has designed decision support system, including data warehouse,on-line analysis processing (OLAP) technology and the data mining. Introduced theprototype system module division and the frame design, Introduced the constructs of thedata warehouse using the relational database, and the multi-dimensional model realizationtechnology, Using the connection rule analysis and clustering analysis and so on kind ofdata mining algorithm, This article has analyzed the price, the fund and so on a series oftarget. Excavated knowledge is applied to the system, it provide the help for correlativedecision-making.