SUMD60 SUMD

上行与下行贡献之差

计算公式

(Sum(Greater($close-Ref($close, 1), 0), 60)-Sum(Greater(Ref($close, 1)-$close, 0), 60))/(Sum(Abs($close-Ref($close, 1)), 60)+1e-12)

上方表达式逐字取自 qlib Alpha158/360 特征工程(qlib/contrib/data/loader.py,Apache-2.0),由平台 qlib 兼容表达式引擎在确定性研究面板上求值。

截面统计与信息系数

IC 均值(60 月)
0.0075
ICIR
0.143
截面均值
0.0321
截面标准差
0.2756
Min
-1.0000
Max
0.7489

IC = 因子截面与次月收益的秩相关(Spearman 口径),基于确定性研究面板最近 60 个月逐月计算。

数据导出

alpha158.json

相关因子 · SUMD

SUMD5
(Sum(Greater($close-Ref($close, 1), 0), 5)-Sum(Greater(Ref($close, 1)-$close, 0), 5))/(Sum(Abs($close-Ref($close, 1)), 5)+1e-12)
SUMD10
(Sum(Greater($close-Ref($close, 1), 0), 10)-Sum(Greater(Ref($close, 1)-$close, 0), 10))/(Sum(Abs($close-Ref($close, 1)), 10)+1e-12)
SUMD20
(Sum(Greater($close-Ref($close, 1), 0), 20)-Sum(Greater(Ref($close, 1)-$close, 0), 20))/(Sum(Abs($close-Ref($close, 1)), 20)+1e-12)
SUMD30
(Sum(Greater($close-Ref($close, 1), 0), 30)-Sum(Greater(Ref($close, 1)-$close, 0), 30))/(Sum(Abs($close-Ref($close, 1)), 30)+1e-12)