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Parallel Implementation of Moving Averages on RMESH

机译:RMESH上移动平均值的平行实现

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Moving averages are important financial indicators. There are short term moving average and long term moving averages. The interaction of the short term moving averages and long term averages give analyst the good clues about the direction of future assets performance. In this paper, the computation of two popular moving averages are discussed. The n-day simple moving average treats all past n days' closing prices equally while the n-day exponential moving average assigns more weight to most recent day and least weight to lease recent day closing price when form the computation formula. Both methods can be done in O(logN) time on the Reconfigurable Mesh.
机译:移动平均值是重要的财务指标。有短期移动平均和长期移动平均线。短期移动平均线和长期平均值的互动给予分析师对未来资产表现的方向的良好线索。在本文中,讨论了两个流行的移动平均值的计算。当N日指数移动平均值为最近一天和最少重量分配时,N天的低于N天的日期闭路价格平均每周闭合时均为较近的速度平均值。这两种方法都可以在可重新配置网格上的O(logn)时间中完成。

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