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Metaverse Stock Screen Using Opening Auction Price Changes

Article SuperMind

Summary

This post proposes screening Chinese stocks in a metaverse category using opening-price behavior. Its written rule requires the 9:25 gain to be below 6% and the auction change to lie between -2% and 5%. It supplies formula and Python examples, and briefly notes that market volatility and trading activity may affect the screen. It also suggests adapting the thresholds or adding valuation measures.

The page does not provide a backtest, performance results, or evidence that the conditions identify stocks with an edge. The displayed formulas and code do not clearly align with the written description: the formula uses opening and prior closing prices, while the Python example relies on minute and tick data and its price comparison is not clearly equivalent to the stated 9:25 threshold. The meaning and timing of the auction fields therefore need verification before implementation. This is a screening proposal, not a validated trading strategy.

Key ideas

  • The proposed universe is metaverse-related stocks, filtered by auction-period price changes.
  • The stated thresholds are a 9:25 gain below 6% and an auction change between -2% and 5%.
  • The post suggests adapting the filters or adding valuation measures.
  • The code and formulas may not faithfully implement the written conditions.
  • No historical performance evidence is provided.

Tags

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