Their mathematical models rely on past trading patterns to predict how particular securities will perform in the future if other securities, say, fall in price.
它们的数学模型依赖于过去的交易规律,在其它证券价格变化(例如下跌)时,预测某种证券未来的表现。
However, instead of finding the link from our past, we will predict it for our future.
然而,我们将预言未来,而不是从过去发现这失去的一环。
In this fast changing environment we could never predict what the future was going to be, but we were certain of what is was not going to be: like the past.
在这种快速变化的环境里,我们无法预测未来世界是怎么样的,但我们却很明确什么是未来不发生的:那就是过去。
And then we try and get our simulation to match the past, and hope that that will help it predict the future.
尝试让仿真程序能和这一部分实际数据相符,并且希望它能够帮我们对未来进行预测。
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