Metaverse Stock Screening with Turnover and 15-Minute MACD

Summary

This stock screen combines a metaverse-sector filter with prior-day turnover above 8% and a 15-minute MACD condition intended to identify a shortening bearish histogram. The article presents the combination as a way to bring sector interest, trading activity, and short-term technical behavior into one selection rule. It also gives formula-style and Python examples for retrieving candidate stocks and checking indicator values.

The examples have material limitations. The Python MACD conditions include a self-comparison of the DEA value, which cannot test whether that value is shortening, and the code's indicator comparisons do not clearly match the stated histogram rule. The turnover threshold and data transformations may also depend on provider conventions. The post offers no backtest results or evidence that the screen is profitable; it notes that indicator errors and volatile markets can lead to mistaken selections.

Key ideas

• The screen first limits candidates to the metaverse sector and stocks with prior-day turnover above 8%.
• It then applies a 15-minute MACD condition described as a shortening green histogram.
• The post supplies example formulas and Python snippets, but the Python indicator logic contains a self-comparison that undermines the intended check.
• No performance evidence is provided, and volatile conditions or inaccurate indicators may produce poor selections.

Tags

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