Selecting A-Shares with Positive MACD, Attention, and Auction Turnover

Summary

This document outlines a daily A-share selection rule that filters for a positive MACD reading, then ranks stocks by individual-stock attention and today’s auction amount, retaining the top five. It describes MACD as a short-term trend measure, attention as a proxy for market interest, and auction amount as an indication of capital activity. The article says the screen is intended to favor stocks with relative strength and some funding support; it also supplies indicator formulas and a Python example that additionally sorts by turnover rate.

The article cautions that ranking by auction amount can ignore broad market conditions, that technical indicators omit fundamentals, and that a five-stock sample may be statistically unrepresentative. It suggests adding other indicators, market context, sector or theme information, and fundamental analysis. The materials do not define how attention is measured or reconcile the stated ranking order with the example’s turnover-rate tie-breaker. No historical test or evidence of returns is presented, and the selection rule alone does not establish that the ranked stocks will outperform.

Key ideas

• The screen requires MACD above zero and ranks candidates using stock attention and auction amount.
• The stated procedure retains five stocks and is run after the daily close.
• The code example adds turnover rate as a secondary ranking factor.
• The article flags market context, omitted fundamentals, and small-sample bias as limitations.
• It provides no backtest or return evidence for the selection rule.

Tags

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