Intraday Price and Volume Factors Across Stocks and Futures

Summary

This research summary compares high-frequency factors built from minute data in stocks and futures. It groups signals into return-distribution measures, intraday volume patterns, price-volume relationships, order-flow measures, and trend strength. Reported findings include reversal behavior for many stock factors and momentum behavior for many futures factors. Examples include realized skewness and downside-volatility share, volume shares during selected parts of the stock trading day, and intraday price-volume correlation. The report also describes improving a one-month stock reversal signal by removing overnight and early-session returns.

The evidence is presented through portfolio return spreads, information ratios, and annualized returns for selected factors and parameter regions. Results are not uniform: the volume timing signal did not distinguish futures products, and the stock trend-strength effect disappeared after controlling for style factors. The summary attributes cross-market differences partly to trading mechanisms and investor composition. It warns that factor efficacy, liquidity, and statistical patterns may fail; the supplied text does not include the full report or enough detail to independently assess data construction, costs, or robustness.

Key ideas

• The report constructs intraday factors from minute-level price, volume, and trading information.
• Many tested factors show reversal patterns in stocks but momentum patterns in futures.
• Intraday volume shares have different predictive relationships across stock trading periods.
• Some reported stock factor effects weaken or disappear after style controls.
• The summary flags factor decay, liquidity, and the failure of historical statistical patterns as risks.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.