A-Share Stock Screening with MACD, Trading Heat, and Large-Order Flow

Summary

The document describes a daily, end-of-session screening idea for Chinese A-shares. It selects stocks with MACD above zero, ranks candidates by reported market attention, and requires a positive large-order net-flow measure above a stated threshold for at least three consecutive days. It explains these filters as proxies for upward momentum, investor interest, and active buying, and includes formula and Python-style implementation references.

The document identifies several weaknesses: order-flow persistence can lag, the three inputs may omit other relevant signals, and the sample may be too small for reliable statistical conclusions. It suggests adding technical indicators, fundamental and sector information, or machine-learning methods, but provides no backtest, performance results, or detailed validation of the proposed screen. The formula’s data-field definitions also appear potentially inconsistent with the prose description, so implementation and interpretation would require careful checking before use.

Key ideas

• The screen requires MACD to be above zero and ranks qualifying stocks by market attention.
• It also filters for a positive large-order net-flow measure persisting across multiple days.
• The author presents the inputs as proxies for trend, attention, and buying activity.
• The document warns that lag, omitted signals, and a small sample can weaken conclusions.
• No backtest results establish the screen’s profitability, and data-field definitions need verification.

Tags

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