Stock Screening with Daily Range, Rising Averages, and Convertible Bond Data

Summary

The document presents a stock screen combining three conditions: daily price amplitude above a threshold, an upward-spreading moving-average signal, and a nonempty field for the company’s outstanding convertible bond name. It describes the bond field as a financing-related input and the price range and moving averages as technical criteria. It also includes example formula and Python implementations, with additional market and market-cap filters in the Python example.

The author cautions that this limited set of conditions omits market risk, company finances, and performance, and suggests considering valuation, dividends, industry, or other factors. The implementations are references rather than a demonstrated trading system, and the document provides no backtest results or evidence of predictive value. Its description and example code also differ in how they check the convertible-bond field and moving-average conditions, so users should verify the intended logic and data definitions before relying on the screen.

Key ideas

• The proposed screen combines price amplitude, a rising moving-average condition, and convertible-bond-name data.
• The document frames the bond field as a financing indicator and the price conditions as technical inputs.
• The example implementation adds market and market-cap filters beyond the core screening description.
• The author recommends considering additional company and industry factors because the screen omits important risks.
• No performance evidence is provided, and the example implementations should be checked for consistency with the stated rules.

Tags

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