VSUMP30 VSUMP
Upward contribution of volume changes
Formula
Sum(Greater($volume-Ref($volume, 1), 0), 30)/(Sum(Abs($volume-Ref($volume, 1)), 30)+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)
0.0060
ICIR
0.099
Cross-section mean
0.5002
Cross-section std
0.0261
Min
0.4047
Max
0.5945
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 · VSUMP
VSUMP5
Sum(Greater($volume-Ref($volume, 1), 0), 5)/(Sum(Abs($volume-Ref($volume, 1)), 5)+1e-12)
VSUMP10Sum(Greater($volume-Ref($volume, 1), 0), 10)/(Sum(Abs($volume-Ref($volume, 1)), 10)+1e-12)
VSUMP20Sum(Greater($volume-Ref($volume, 1), 0), 20)/(Sum(Abs($volume-Ref($volume, 1)), 20)+1e-12)
VSUMP60Sum(Greater($volume-Ref($volume, 1), 0), 60)/(Sum(Abs($volume-Ref($volume, 1)), 60)+1e-12)