Minute Trade-Value Distributions for A-Share Stock Selection
Summary
This note describes several equity factors built from the distribution of individual trade values within minute bars. It uses distribution statistics such as quantiles, dispersion, skewness, and kurtosis, and examines correlations between trade value and price-volume measures to characterize large-trader activity and sentiment. A related refinement separates reversal effects by trade size, producing a stronger reversal factor.
The document reports historical evidence including RankIC and RankICIR measures, portfolio returns, and comparisons across broad indexes and industry baskets. It interprets the results as evidence that concentrated, right-skewed trade-value distributions and stronger large-trader contributions may relate to future returns. Results vary by universe: reported performance is stronger among CSI 1000 constituents than among CSI 500 or CSI 300 constituents. The source provides only summarized backtest outcomes, without full methodological details or validation procedures, and cautions that future market conditions may differ from historical data.
Key ideas
- Minute-level trade-value distributions can be summarized with quantiles, standard deviation, skewness, and kurtosis for stock selection.
- Correlations between individual trade values and price-volume measures can be used to estimate large-trader strength and sentiment.
- The document attributes a portion of short-term reversal behavior to larger trades and proposes a refined reversal factor.
- Reported factor performance varies across index and industry universes, so results may not generalize uniformly.
- The reported evidence comes from historical testing and does not guarantee future performance.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.