A Smart-Money Sentiment Factor from Intraday Stock Trades
Summary
This report summary outlines a method for inferring informed trading from minute-level data. It first applies a “smartness” measure to identify trades attributed to smart money, then aggregates their relative execution prices into sentiment factor Q. Higher Q indicates that these trades tend to occur at higher prices, interpreted as selling and pessimism; lower Q suggests buying at lower prices and optimism.
The summary reports that sorting A-shares into five groups by Q produced a long-short portfolio with positive reported risk-adjusted performance. It also describes a portfolio formed from the lowest-Q group and benchmarked against the CSI 500, with stronger reported results. These are backtest claims as presented in the summary; the underlying PDF, sample period, factor construction details, transaction costs, and robustness checks are not included, so the evidence cannot be independently assessed from this document alone.
Key ideas
- A minute-level smartness measure is used to select trades attributed to informed investors.
- Factor Q summarizes the relative prices at which selected trades occur.
- Lower Q is interpreted as accumulation at lower prices, while higher Q is read as selling at higher prices.
- The summary reports five-group and benchmark-relative backtest results, but omits the underlying study details.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.