Screening Newly Listed Stocks by Turnover and Short-Term MACD Signals

Summary

This Supermind example screens Chinese equities using three conditions: turnover between 3% and 12%, a listing year of 2021, and a short-term MACD pattern on 15-minute data. The described histogram condition is that the MACD green bars are shortening. The included indicator logic instead calculates exponential moving averages, their difference, and a signal average, then checks that the difference has begun to turn downward and compares the relative history of crossings. The code and prose therefore do not specify the signal in exactly the same terms.

The post presents this as a way to combine trading activity, listing age, and a technical signal, but gives no backtest results or performance evidence. It notes that a technical screen can underweight fundamentals and recommends risk controls and consideration of financial or market-share data. The supplied Python portion is only a partial connection setup, so it does not demonstrate a complete, reproducible screening process.

Key ideas

• The screen combines a turnover band, a specified listing year, and a 15-minute MACD condition.
• The stated shortening green bars and the supplied indicator conditions are not fully equivalent descriptions.
• The post offers no historical performance evidence for the screen.
• It identifies neglect of company fundamentals as a limitation and suggests adding business-quality measures.
• The Python example is incomplete and does not show an end-to-end implementation.

Tags

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