Combining MACD and Moving Average Crossovers with Large-Order Flow

Summary

This stock screen targets companies in China’s metaverse sector. It requires three bullish crossovers at once: MACD crossing its signal line, the five-period moving average crossing above the ten-period average, and the five-period average crossing above the twenty-period average. It then filters for positive large-order net volume and ranks candidates by that measure, keeping the highest-ranked names within the stated cutoff. The article provides corresponding screening formulas and a sample Python outline, though the code references indicator functions without implementing them.

The approach combines trend signals with a measure intended to represent large-investor activity. The document gives no backtest, performance data, or evidence that the signals predict returns. It flags sharp price reversals, liquidity problems in large-order flows, and policy or regulatory changes affecting the metaverse sector. The proposed safeguards are general: add risk controls, assess liquidity, and monitor regulation. The screen is therefore a selection recipe, not a complete portfolio or execution plan; its ranking threshold and crossovers may need validation for the intended market and data source.

Key ideas

• The screen focuses on metaverse-sector stocks and requires three bullish technical crossovers to occur together.
• It ranks stocks with positive large-order net volume and selects those near the top of the ranking.
• The method combines trend indicators with an order-flow measure, but the document provides no performance evidence.
• Liquidity, price reversals, and sector regulation are identified as risks requiring ongoing attention.

Tags

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