Chinese Stock Screening with Volatility, Institutional Flows, and Returns

Summary

This Chinese stock-selection note combines three filters: daily price amplitude above a threshold, positive institutional net flows, and a positive recent return. It describes the first as a way to find more volatile shares, the flow condition as evidence of buying by large investors, and the return filter as a check for favorable recent direction. Example formulas and Python snippets illustrate how the conditions could be combined and how qualifying stocks could be sorted by turnover.

The document gives no backtest or performance evidence for the screen. Its own risk discussion cautions that results may depend on market conditions and timing, flow and return measures can be misleading, and the method ignores company fundamentals and longer-term prospects. It suggests adding fundamental factors and using risk controls such as stop losses, while offering no tested rules for those additions. The examples are implementation references, not a validated trading system.

Key ideas

• The screen requires price amplitude, institutional net flow, and recent return to be positive or above specified thresholds.
• The document treats institutional buying and positive recent returns as signals of favorable near-term conditions.
• The examples show how to combine the filters in indicator formulas or a Python workflow.
• The document reports no measured strategy performance and warns that timing, misleading signals, and omitted fundamentals limit the approach.

Tags

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