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Comparing High-Frequency Trading Factors in Stocks and Futures

Article BigQuant

Summary

This Chinese-language report summary examines intraday price, volume, and trading characteristics using minute data to build factors and compare their behavior in stocks and futures. The factor families include return-distribution statistics such as realized skewness and upside or downside volatility, time-of-day volume shares, price-volume relationships, order flow, and trend strength. It also describes an enhanced one-month stock reversal signal that excludes overnight returns and the first half-hour after the open.

The summary reports portfolio spreads, factor information ratios, and annualized returns for selected signals and parameter regions. It finds that many factors tend toward reversal among stocks and momentum among futures, while some findings are market-specific: intraday volume shares did not distinguish futures products, and stock trend strength lost its apparent selection effect after removing style exposure. These are summarized historical results rather than a fully documented test; the underlying report is not included here, so methodology, trading costs, and robustness cannot be checked. The authors identify factor failure, liquidity, and instability of statistical regularities as risks.

Key ideas

  • The report organizes minute-data signals into return, volume, price-volume, order-flow, and trend factor families.
  • Many factors show reversal in stocks and momentum in futures in the reported tests.
  • Intraday volume timing was useful for stock comparisons but not for distinguishing futures products.
  • Removing overnight and early-session returns reportedly strengthened a monthly stock reversal signal.
  • The summary warns about factor decay, liquidity, and unstable historical patterns.

Tags

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