Metaverse Stock Screening with a Long-Term Average and Low KDJ

Summary

This Chinese stock-selection post describes screening shares in the metaverse theme using two technical conditions: the prior close must be at or above its 250-day moving average, and the K value of a 9,3,3 stochastic indicator must be below 20. The moving average is intended to keep candidates above a long-term price reference, while the low K value is treated as a possible rebound setup. The post also outlines a data workflow for retrieving thematic constituents and daily prices, calculating the indicators, and ranking selected stocks by traded amount.

The document gives no backtest results or performance evidence. Its own caveats include reliance on a popular sector and short-term price behavior, uncertainty in the KDJ signal, and the risk of trading without a robust risk-control process. It recommends adding fundamental analysis and other indicators, and monitoring risk. The supplied example code contains implementation choices and apparent inconsistencies with the stated rules, so the written screening conditions are clearer than the code as a reproducible specification.

Key ideas

• The screen combines metaverse sector membership with a close above the 250-day moving average and a KDJ K value below 20.
• The low KDJ reading is presented as a possible rebound signal, not as proof that prices will recover.
• The post suggests adding fundamental analysis and complementary indicators to reduce reliance on a single technical condition.
• No backtest evidence is provided, and the strategy requires a separate risk-control process.

Tags

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