Screening Metaverse Stocks by Turnover and Moving Average Crossovers

Summary

This document describes a Chinese equity screen that selects stocks in the metaverse theme, requires yesterday’s turnover rate to exceed 8%, and applies a moving-average crossover condition. It provides a reference formula for a stock screening platform and a Python example intended to retrieve stock data and apply the filters. The accompanying discussion presents turnover as a sign of market attention and moving-average alignment as a way to capture a pronounced trend.

The formula and code should be treated as illustrative rather than validated implementations: the stated condition counts crosses between the five-day and ten-day moving averages over five periods, which is not necessarily equivalent to five moving averages converging. The document provides no backtest, performance evidence, or precise validation of its data fields. It also cautions that the screen may be sensitive to market sentiment, liquidity, parameter choice, price volatility, and noisy data.

Key ideas

• The screen combines metaverse theme membership with a turnover filter and a moving-average crossover condition.
• The stated turnover threshold is greater than 8% for the prior day.
• The provided formula counts crosses between the five-day and ten-day moving averages.
• The document supplies platform formula and Python references, but no performance validation.
• Theme exposure, liquidity, market sentiment, and indicator choices can affect the screen’s reliability.

Tags

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