Screening Metaverse Stocks with Long-Term Trend and Institutional Flows

Summary

This note proposes screening Chinese metaverse-related equities using a long-term moving-average condition and a measure of recent institutional capital flows. Its initial description requires yesterday’s price to exceed the 250-day moving average, while the code reference expresses the comparison using the current close. The flow rule compares absolute capital flow over a recent ten-day window with that over twenty days. The Python example also checks whether price is above its five-day average, creating a material mismatch with the stated long-term condition. The final prose repeats the five-day average condition.

The document offers illustrative formulas and sample code, but no backtest or evidence that the screen predicts returns. It cautions that market fluctuations, inaccurate flow-based signals, and a narrow set of selection criteria can lead to poor choices. It suggests adding other measures and risk controls, though it does not define them. The disagreement between the stated rule and its implementations means the intended price filter should be resolved before using the screen.

Key ideas

• The proposed universe is metaverse-related equities.
• The initial rule uses a 250-day moving-average comparison, while the code and final description use different price conditions.
• The flow filter compares recent absolute capital-flow totals across two lookback windows.
• No performance evidence is provided, and the described implementation is internally inconsistent.

Tags

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