Screening for Volatile Stocks After Three Consecutive Limit-Ups

Summary

The post presents a short-term screening rule that combines a daily price range greater than one, three consecutive limit-up sessions on the previous day, and an increase in open interest exceeding five percent relative to volume and contract multiplier. It offers indicator-style and Python examples for constructing the filters and selecting matching instruments. The examples include futures data, although the surrounding discussion frames the idea as stock selection.

The author interprets the filters as proxies for volatility, market attention, and activity, then suggests adding technical indicators, fundamentals, industry context, trading volume ratios, or capital flows. The post warns that activity-based screens can miss valuation and fundamental concerns, chase temporary themes, narrow the opportunity set, and expose traders to sharp losses. It supplies no backtest, performance statistics, or evidence that the proposed refinements improve results. The signal definitions and asset context also warrant careful checking before use.

Key ideas

• The screen combines a daily range threshold, a prior three-session limit-up streak, and an open-interest increase threshold.
• The post provides formula and Python examples for expressing the filters.
• It treats volatility and market activity as proxies for potential short-term opportunity.
• The author cautions that the screen can overlook fundamentals and chase temporary market themes.
• No performance test is provided, and the examples mix stock-selection language with futures data.

Tags

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