SUMD5 SUMD
Difference of upward and downward contributions
Formula
(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)
The expression above is verbatim from qlib Alpha158/360 feature engineering (qlib/contrib/data/loader.py, Apache-2.0). The platform qlib-compatible expression engine evaluates it on the deterministic research panel.
Cross-section statistics & information coefficient
IC mean (60M)
-0.0099
ICIR
-0.180
Cross-section mean
0.0400
Cross-section std
0.6299
Min
-1.0000
Max
1.0000
IC = Spearman-style rank correlation between the factor cross-section and next-month returns, computed over the last 60 months on the deterministic research panel.
Data export
Related factors · SUMD
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)
SUMD60(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)