Metaverse Stock Screen Using a 10-Day Average and Low KDJ

Summary

The document presents a Chinese equities screen for stocks classified in the metaverse industry. It seeks prices near the 10-day moving average and a KDJ oscillator reading below 20, interpreting the low oscillator value as a sign of weak sentiment. It gives equivalent screening conditions and a Python example that retrieves stock data, calculates moving averages and stochastic values, excludes ST-designated stocks, and returns eligible symbols.

The article does not report a backtest, portfolio returns, or evidence that the selection rules predict performance. It acknowledges that the criteria are simple, omit fundamentals and broader market conditions, and may create false selections or exclude worthwhile stocks. There is also a mismatch between the stated opening-price condition and the formula and code, which use closing prices for parts of the screen; this makes faithful replication uncertain without resolving the intended rule.

Key ideas

• The screen targets stocks assigned to the metaverse industry.
• It combines proximity to a 10-day moving average with a KDJ reading below 20.
• The example implementation filters out ST-designated stocks and calculates indicators from historical prices.
• The rules omit fundamentals and market context, and the document supplies no performance evidence.
• The described opening-price rule conflicts with formulas and code that use closing prices.

Tags

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