Metaverse Stock Screening with MACD Crossovers and Positive Institutional Flow

Summary

This Chinese-language post outlines a stock-selection screen for the metaverse industry. It combines a simultaneous bullish crossover in three technical indicators with a positive institutional-flow reading, intended to find stocks with upward technical signals and buying interest. The stated formula references MACD and its signal line, trading amount, and a DDE-based institutional-flow measure. The post also includes sample Python intended to select stocks by industry and indicator conditions, though its implementation does not clearly reproduce every part of the described screen.

The article gives no backtest, performance figures, or comparison with a baseline, so it offers a screening recipe rather than evidence that the approach is profitable. It flags risks from relying on technical signals and short-term flows, delayed institutional data, and volatility in the metaverse sector. It suggests adding fundamental measures such as earnings and valuation, using more recent flow trends, and confirming signals with multiple indicators. Those suggestions are not evaluated, and the document does not define the three crossovers in detail.

Key ideas

• The proposed universe is stocks classified in the metaverse industry.
• The screen pairs bullish technical crossovers with a positive institutional-flow signal.
• The post describes MACD, its signal line, trading amount, and DDE as relevant measures.
• It warns that flow data can lag and that technical screening omits fundamental conditions.
• No performance test is supplied to establish the screen's effectiveness.

Tags

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