Screening for Moving-Average Convergence, Turnover, and Recent Limit-Ups

Summary

This proposed Chinese stock screen looks for at least five converging moving averages, turnover above 8% on the prior day, and more than two limit-up sessions within ten days. The article interprets clustered averages as a sign of a clear trend, high turnover as evidence of trading activity, and repeated limit-ups as a sign of recent market attention. It also suggests considering company fundamentals and industry prospects.

The included Python reference is not a dependable implementation of those stated conditions. Its moving-average function counts ordered values rather than measuring convergence, its turnover calculation divides volume by price, and its stock-selection routine does not correctly apply the stated turnover and limit-up filters. The article acknowledges technical-signal and extreme-market risks, but supplies no backtest or performance evidence. The screen is best treated as an idea requiring corrected data definitions and independent validation, rather than as a ready-to-run strategy.

Key ideas

• The proposed screen combines moving-average clustering, high prior-day turnover, and repeated recent limit-ups.
• The article interprets these conditions as trend, activity, and market-attention signals.
• The sample code does not correctly calculate several of the stated screening conditions.
• The article notes that technical filters can ignore fundamentals and fail in extreme markets.
• No backtest results are provided.

Tags

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