Stock Screening with Positive MACD, Low Price, and Converging Averages

Summary

This stock screen combines three conditions: MACD above zero, a share price below 12 yuan, and at least five moving averages converging at the same value. The examples identify averages over 5, 10, 20, 30, 60, and 120 periods, and show how to express the filter in a charting formula and calculate indicators in Python. The intended idea is to find low-priced stocks with positive momentum and closely aligned moving averages, which the post presents as a possible buying signal.

The document provides no backtest results or performance evidence. Its formula examples also differ in how they handle timing: one compares prior-day moving averages, while the Python example checks the latest observation. Exact equality between averages may be restrictive and sensitive to data precision. The screen omits company fundamentals and may miss stocks temporarily correcting within stronger trends. The author suggests adding indicators such as KDJ or RSI and adjusting rules to market conditions, but gives no tested validation of those changes.

Key ideas

• The screen requires MACD above zero and a closing price below 12 yuan.
• It looks for convergence among moving averages with periods from 5 to 120 days.
• The examples implement the conditions using a chart formula and Python indicator calculations.
• The post offers no performance test and notes that the screen ignores company fundamentals.

Tags

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