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Combining Value, Order Flow, Momentum, and Exit Rules in Stock Selection

Article SuperMind

Summary

The document presents a Chinese equity selection model that combines longer-term valuation measures with short-term trading signals. Its fundamental filters use price-to-book value and net assets per share. Technical inputs include large-order net buying relative to float, daily price change, and turnover, which the text interprets as signs of active buying, selling, attention, or possible exhaustion. The stated screening rules also exclude certain stock categories and rank candidates by large-order net volume.

The proposed execution plan buys at the open, holds one stock at full capital for 30 days, and applies profit-taking and loss limits, including a trailing giveback condition after a specified gain. The document explains static and dynamic profit-taking and the rationale for stop losses, but supplies no backtest results or validation. It explicitly cautions that the many selected parameters may overfit historical data and suggests replacing them with a simpler ranking score.

Key ideas

  • The model combines valuation filters with short-term order-flow, price-change, and turnover signals.
  • It ranks candidates by large-order net volume and applies additional eligibility exclusions.
  • The proposed plan enters at the open, holds one stock for a stated period, and uses full capital.
  • Exit rules include profit-taking, a trailing giveback threshold, and a loss limit.
  • The author identifies parameter overfitting as a limitation and proposes simpler ranking-based scoring.

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