A Convertible Bond Screen Using Price, Daily Range, and Name Availability

Summary

This post proposes screening convertible bonds using three conditions: daily high-low amplitude above one percent, a closing price exactly equal to 18.5 yuan, and a nonempty field for the outstanding bond’s short name. The selection is then sorted by bond price in ascending order. It provides both a platform formula and a Python example using daily bond data, framed as a starting point that readers can modify.

The post characterizes the screen as seeking volatile, potentially attractive bonds, but it gives no backtest results or evidence that the filters identify quality issuers or suitable long-term investments. It acknowledges that the rules omit company fundamentals, industry prospects, and wider stock-market risks, and suggests combining technical and fundamental analysis. The exact closing-price condition is narrow and may produce few selections; the post does not discuss data availability, execution assumptions, or risk controls. Treat the stated rationale as an untested hypothesis, not demonstrated strategy performance.

Key ideas

• The screen requires daily high-low amplitude above one percent, a closing price of 18.5 yuan, and a nonempty outstanding-bond name field.
• Selected bonds are sorted by price in ascending order.
• The post provides formula and Python examples as implementation references.
• The proposed filters do not assess issuer fundamentals, industry outlook, or broader market risk.
• No backtest or performance evidence is supplied, so the suggested investment rationale remains unverified.
• The post recommends adding fundamental and market analysis to develop a more complete selection model.

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