A Small-Float Metaverse Stock Screen Using 15-Minute MACD

Summary

This document describes an A-share screening rule that combines a metaverse industry classification, a stated circulating-share ceiling of 5.5 billion shares, and a 15-minute MACD histogram contraction signal. It frames shortening negative histogram bars as a possible sign of an oversold rebound and a potential entry near a trend reversal. The article also gives a MACD formula reference and sample Python logic for calculating indicators and filtering candidates.

No backtest, performance data, or empirical evidence is provided, so the rebound rationale remains an untested explanation. The article itself notes that the screen relies heavily on technical signals, may select illiquid names, and focuses on short-term trades with potentially uneven gains and losses. Its sample code also appears inconsistent: it derives a quantity from turnover and total shares for the float condition, and the histogram signal construction may not match the stated idea of green bars shortening. The rule should therefore be treated as an illustrative screen requiring validation and risk controls.

Key ideas

• The screen combines metaverse classification, a circulating-share limit, and a 15-minute MACD histogram condition.
• Shortening negative MACD bars is presented as a possible rebound or reversal cue.
• The document offers indicator formulas and sample code but no measured strategy results.
• Technical-only selection can overlook fundamentals, broader market direction, and liquidity risks.
• The sample implementation may not faithfully encode the described float and MACD conditions.

Tags

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