A KDJ Golden-Cross Screen for Metaverse Stocks
Summary
The document describes a Chinese equity screening rule focused on stocks classified in the metaverse industry. It selects stocks when the KDJ indicator has just formed a bullish crossover and the current daily return lies between a stated lower and upper bound. The article frames the crossover as a technical signal and the daily return filter as a way to incorporate short-term market conditions. It also provides a formula-style specification and a Python example that calculates the crossover from high, low, and close prices before applying the industry and return filters.
No backtest, performance statistics, or evidence of predictive value is supplied. The author notes that a short-term return filter may not remove sudden price spikes and that the screen omits fundamental information, which can matter when fundamentals drive price moves. Suggested additions include other indicators, valuation measures, industry rankings, or machine learning, but these are proposals rather than evaluated improvements.
Key ideas
- The screen restricts candidates to the metaverse industry and requires a newly formed KDJ bullish crossover.
- A daily percentage-change range is used alongside the technical signal to filter candidates.
- The provided implementation calculates the crossover from price highs, lows, and closes, then applies the filters.
- The article provides no backtest or measured evidence that the screen predicts returns.
- The author identifies short-term price spikes and missing fundamental factors as limitations.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.