A Metaverse Stock Screen Combining Institutional Flows and Financial Filters

Summary

This post proposes screening Chinese stocks associated with the metaverse theme, positive institutional activity, market capitalization below 10 billion yuan, and no losses over the prior two years. Its stated rationale combines a thematic growth area, investor-flow information, and size and profitability filters. It also suggests adding measures such as return on equity, valuation, recent performance, and industry conditions, alongside risk controls.

The article includes example formulas and a Python outline drawing on stock classifications, institutional-flow data, financial statements, returns, and turnover. However, the code and stated rules do not align cleanly: the theme classification, flow measure, profit test, and later moving-average conditions are not consistently defined or implemented. No credible backtest results or performance evidence are supplied. The post acknowledges that company assessment may be wrong and that broad market declines can still cause losses. The screen is therefore an illustrative collection of selection ideas, not a validated strategy, and its data definitions and implementation would need careful checking.

Key ideas

• The proposed screen combines a metaverse theme, positive institutional activity, a market-cap ceiling, and a two-year no-loss condition.
• The article suggests adding valuation, return on equity, industry context, and risk controls.
• Its code outline adds further return and moving-average filters beyond the stated core logic.
• Several formulas and code conditions appear inconsistent or insufficiently specified.
• The post provides no performance validation and notes that broad market declines remain a risk.

Tags

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