Combining RSI, Seven Down Days, and Large-Order Flow in a Stock Screen
Summary
This stock-selection rule combines an RSI reading below 65 with seven consecutive down sessions and a ranking based on large-order net flow. Its stated premise is to identify stocks that have recently weakened while still showing buying interest from large participants. The article includes illustrative indicator definitions and Python-style selection logic, including checks for recent prices and capital-flow data.
No performance test or other evidence is reported, and the article does not specify a reproducible definition of the ranking universe or all parameter choices. It warns that market shifts and special events can undermine the signals, and that using several data inputs raises the burden of analysis. It suggests adapting the factors as conditions change and mentions quantitative or machine-learning methods as possible extensions. The claimed potential for sustained or stable investment is not demonstrated by results in the document.
Key ideas
- The proposed filter combines RSI below 65, seven consecutive down sessions, and large-order net-flow ranking.
- The article frames the down-day sequence and flow measure as complementary signals.
- Its example implementation also checks recent price history and capital-flow data.
- The document provides no backtest or performance evidence for the screening rule.
- Market changes, unusual events, and parameter choices may weaken the signal.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.