Screening Chinese Stocks by Price Range, Convertible Bonds, and Order Flow

Summary

The post describes a stock screen combining a price-move threshold, a nonempty convertible-bond name field, and buying volume greater than selling volume. It interprets the price movement as a volatility clue, the bond field as information about corporate financing, and the order-flow comparison as a sign of greater buying demand. It also provides example indicator logic and a Python implementation outline for filtering stocks.

The author cautions that the screen can select low-quality companies because it omits broader fundamental checks, and that a buy-versus-sell volume imbalance can be noisy or sentiment-driven. Suggested refinements include adding financial, valuation, and industry data and using rolling selection to reduce the influence of a single market snapshot. The examples do not present backtest results or establish predictive value, and the prose, formula, and sample implementation appear to describe some conditions differently, so the exact operational screen requires verification.

Key ideas

• The proposed screen combines a price-movement condition, convertible-bond information, and a buy-to-sell volume comparison.
• The post treats order-flow imbalance as a demand signal but recognizes it can reflect transient sentiment.
• It recommends adding financial, valuation, and industry measures to improve stock selection.
• Rolling selection is suggested to reduce sensitivity to a single snapshot.
• No performance evidence is provided, and the described conditions are not fully consistent across examples.

Tags

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