Metaverse Stock Screen Using a Ten-Day Average and Candle Signals

Summary

This note proposes screening Chinese stocks in the metaverse industry for an opening price near the ten-day moving average, together with a purported morning-star signal. Its formula examples add moving-average cross conditions and a KDJ-based condition with an opening-gap limit. The Python example also filters for listing history and ranks candidates using valuation, profitability, and balance-sheet fields. The document gives rules and sample implementations, but no backtest results or evidence that the screen predicts returns.

The description cautions that relying mainly on technical indicators can ignore fundamentals and broader market conditions. There is also a material inconsistency: the prose describes a morning-star pattern, while the formula and sample code use KDJ thresholds that differ from each other and do not clearly implement that candlestick pattern. The stated “near” relationship to the average is also expressed differently across examples. These discrepancies make the method ambiguous and would need resolution before testing or use.

Key ideas

• The proposed universe is stocks classified in the metaverse industry.
• The screen combines proximity to a ten-day average with technical signal conditions.
• The examples add listing-age and financial-metric filters, but provide no performance evidence.
• The morning-star description conflicts with the KDJ conditions shown in the implementations.

Tags

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