Predicting Intraday Trading Volume and Volume Percentages

V. Satish, Abhay Saxena, Max Palmer
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引用次数: 8

Abstract

This article discusses recent techniques and results in the area of forecasting intraday volume and intraday volume percentages. By exploring ways to predict volume, the authors seek to improve the performance of trading algorithms, many of which depend upon the volume that will trade while the order is active. Traditionally, algorithms use historical averages to predict volume over the lifetime of an order. The authors show that improving the prediction of volume boosts the performance of algorithms.
预测日内交易量和交易量百分比
本文讨论了预测日内交易量和日内交易量百分比的最新技术和结果。通过探索预测交易量的方法,作者试图提高交易算法的性能,其中许多算法依赖于订单活跃时的交易量。传统上,算法使用历史平均值来预测订单生命周期内的交易量。作者表明,改进体积预测可以提高算法的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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