Stock Screening with Recent Momentum and Revenue Growth

Summary

This post describes a Chinese stock screen combining short-term price behavior with a historical revenue comparison. It selects stocks with a high-low range above 1% of the opening price, a positive but less than 35% 10-day return, and 2021 revenue more than 1.1 times 2018 revenue. The accompanying Python example shows filtering price data and consulting a financial report, although its report lookup and stock matching details do not clearly establish a complete universe-wide implementation.

The rationale is to pair moderate recent price gains with evidence of revenue growth. The author notes that revenue alone says little about profitability, liabilities, or other aspects of company quality, and that data accuracy matters. Suggestions include combining additional financial measures with industry and macroeconomic context. The post supplies no backtest results or evidence that the conditions produce attractive returns, and it does not define portfolio construction, trade timing, or risk controls.

Key ideas

• The screen combines a daily range threshold with a positive 10-day return below 35%.
• It requires 2021 revenue to exceed 2018 revenue by more than 10%.
• The post presents revenue growth as one input, while acknowledging it omits profitability and balance-sheet considerations.
• The sample code and financial-data matching approach are not fully specified for screening an entire market.
• No performance evidence or trading and risk-management rules are provided.

Tags

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