Screening for Large-Order Buying and Convertible Bond Issuers

Summary

This stock-selection idea combines daily amplitude above 1, positive large-order net volume for at least three consecutive days, and a nonempty outstanding convertible-bond name. The post treats the bond condition as a way to identify companies that have issued convertible bonds and may attract market attention. It includes a Python sketch that filters bond records, calculates a rolling net-volume measure, and joins the records to stock data.

The post does not provide backtests, performance figures, or evidence that convertible-bond issuance or large-order flow predicts stock returns. It acknowledges that the criteria may omit other relevant technical and fundamental factors, and that convertible-bond issuance may not be a useful stock-selection signal. It suggests adding measures such as MACD, RSI, and valuation ratios, or considering machine-learning approaches. The example's amplitude calculation and rolling-flow filter do not clearly correspond to the prose conditions, so the implementation would need review before testing.

Key ideas

• The proposed screen requires amplitude above 1, sustained positive large-order net volume, and an outstanding convertible-bond name.
• The post interprets the bond condition as evidence that the company has issued a convertible bond.
• It provides no backtest or evidence that these filters predict returns.
• The article flags omitted technical and fundamental factors and uncertainty about the value of bond issuance as a signal.
• The example code may not implement the written conditions consistently.

Tags

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