Metaverse Stock Screening with Ten-Day Moving Average and Auction Flow
Summary
This Chinese stock-screening proposal targets companies in the metaverse industry. It selects stocks whose opening prices are near the ten-day moving average and combines that condition with auction-period buying activity attributed to large and extra-large orders. The stated threshold for cumulative buying amount is above 0.7 ten-thousand units, though the accompanying formulas use volume and price-change calculations as proxies.
The post provides screening formulas and sample Python logic, but these do not clearly map all of the described auction-order data into the filters. It offers no backtest or performance evidence. The author flags risks from short-term trading, potentially misleading large orders, limitations of moving averages, and the volatility of a newer industry. Suggested refinements include fundamental measures, additional technical indicators, price-movement limits, and closer study of whether order flow reflects genuine demand. The proposal is a screening concept, not a fully specified or validated trading system.
Key ideas
- The screen limits candidates to the metaverse industry and opens near the ten-day moving average.
- It uses auction-period large-order buying as a signal of interest and capital flow.
- The post supplies formulas and sample code, but the proxies do not fully establish the stated order-flow condition.
- It warns that large orders, technical indicators, and industry exposure can each mislead.
- It suggests adding fundamental data and other indicators, without reporting backtest results.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.