Stock Screening with Moving Average Confluence, Volume, and MACD

Summary

This post describes a Chinese-market stock screen combining five conditions: at least five moving averages converge, current volume exceeds 10,000 lots, the stock opens higher, and the 15-minute MACD histogram’s negative bars are getting shorter. The author interprets the moving-average overlap as price stability, high volume as active trading, and shrinking negative MACD bars as a possible sign of rising prices. It presents these as screening ideas rather than a tested trading system.

The post warns that price volatility can make returns fluctuate and says the rules may not predict future performance reliably. It suggests adding indicators or filters such as market capitalization and industry, but provides no backtest, performance figures, or evaluation of those additions. The included Python example is explicitly illustrative and does not faithfully establish that the stated conditions are implemented correctly; for example, its comparisons and MACD handling are not clearly valid. The screening logic therefore needs precise definition and testing before it can support trading decisions.

Key ideas

• The proposed screen combines moving average convergence, high current volume, a higher open, and a 15-minute MACD histogram condition.
• The post treats converging averages as a sign of price stability and shrinking negative MACD bars as a possible upward signal.
• The author cautions that market volatility can lead to large swings in strategy returns.
• No backtest or evidence of profitability is provided, and the example code should not be treated as a validated implementation.

Tags

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