Skip to content
All library documents

Screening Main-Board Stocks with MACD, Daily Gains, and a Rising Average

Article SuperMind

Summary

The document presents a Chinese equity screening rule that selects main-board stocks with MACD above zero, a daily gain greater than one percent, and a rising 30-day moving average. It frames the conditions as a momentum-oriented filter and includes illustrative platform-specific query and Python examples. The examples also describe reviewing candidates on a daily schedule, selecting up to five names, and allocating portfolio value across them.

The accompanying discussion flags delayed signals, market shocks, crowded trades, and reliance on short-term trend measures. It suggests adding longer-term averages, volume and price context, event information, other indicators, and explicit risk controls. No backtest results, transaction-cost analysis, or evidence of profitability are given. The implementation details also appear inconsistent in places: the stated daily price condition and code calculations may not use identical price fields or timing, and the stock universe identification method needs verification. The rule should be treated as a screening hypothesis requiring careful data and execution checks.

Key ideas

  • The screen combines positive MACD, a daily gain above one percent, and an upward-sloping 30-day average.
  • It restricts candidates to main-board Chinese stocks.
  • The examples propose a daily selection routine and an equal-value allocation across a limited number of holdings.
  • The document identifies lag, broad market shocks, crowding, and short-term noise as risks.
  • It provides no backtest evidence, and implementation details require validation.

Tags

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