Metaverse Stock Screening with a Rising 30-Day Average and High Position Additions

Summary

This stock selection example combines three filters: a metaverse industry classification, a rising 30-day moving average, and a daily position addition ratio above 5%. Its sample logic expresses the trend condition by comparing the current moving average with its prior value and calculates the addition ratio from volume and turnover. The article also suggests allocating equal portions of capital across selected stocks, though it does not explain how to handle an empty selection or changing portfolio size.

The rationale is that industry interest, an upward price trend, and substantial position additions may identify stocks with momentum. The document provides code examples but no backtest, performance figures, or supporting empirical evidence. It cautions that market conditions can undermine expected returns, that the addition ratio may distract from fundamentals, and that technical signals can encourage chasing prices. It recommends combining factors and managing position sizes, but leaves entry, exit, and risk rules unspecified.

Key ideas

• The screen requires a metaverse classification, an upward 30-day moving average, and a daily position addition ratio above 5%.
• The moving-average test compares its current value with the previous day's value.
• The example proposes equal weighting across selected stocks but does not detail portfolio rebalancing.
• The article gives implementation examples without reporting backtest results or measured performance.
• It warns that reliance on technical signals and position additions can increase risk.

Tags

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