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Screening Chinese Stocks with Intraday Activity and Money Flow

Article MQL5 code base

Summary

The document outlines an equity screening approach combining price range, turnover, opening-auction activity, and afternoon large-order net inflow. Its stated selection rule looks for stocks with amplitude above one and a product of the previous day’s turnover rate and today’s auction volume relative to the previous day’s volume between 0.5 and 2, alongside positive afternoon large-order net inflow. The accompanying discussion frames these filters as a way to identify active, volatile stocks.

The article also suggests adding technical and fundamental measures and periodically backtesting the selection rules. It cautions that high volatility can capture rebounds or unstable names, market sentiment can distort technical readings, and large-order flows may be misleading. The provided Python example does not fully match the prose: it uses a rolling volume ratio and appears to check net flow from queried daily data, without clearly implementing today’s auction volume or an afternoon-only flow condition. No performance results are reported, so the screening logic is a proposal that requires data validation and testing.

Key ideas

  • The proposed screen combines price amplitude, a turnover and auction-volume measure, and positive large-order net inflow.
  • The article presents the filters as a way to find active stocks with elevated price movement.
  • Its Python example does not clearly implement all conditions stated in the prose.
  • The author flags volatility, sentiment effects, and potentially misleading order-flow data as risks.
  • No backtest results are supplied to establish the screen’s effectiveness.

Tags

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