本研究针对股票市场预测的复杂性和非线性特点，提出了一种基于延迟二元时间序列模式（delayed binary time-series patterns）和XNOR逻辑运算的机器学习技术。通过分析历史股价数据，研究人员构建了结构化时间窗口矩阵，并利用决策树（DT）、随机森林（RF）和长短期 ...

Time series forecasts are used to predict a future value or a classification at a particular point in time. Here’s a brief overview of their common uses and how they are developed. Industries from ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Taking paid and unpaid work time together, working-age American men and women differ very little in their total work time. Analyses of pooled data from the American Time Use Survey of 2003 to 2011 ...