Filtering Stocks by Daily Range, Reversal Pattern, and 250-Day Average
Summary
This Chinese-language post describes a stock screen combining three technical conditions: daily high-low range above 1%, a two-day reversal pattern, and the prior close above the 250-day moving average. It gives example implementations in a charting formula and Python, then describes sorting selected stocks by a heat ranking. The stated rationale is to find shares showing a possible upward trend and trading above a long-term reference average.
The post cautions that price-based screening can overlook companies with sound fundamentals whose shares are temporarily weak, and that a 250-day average may not suit every stock or reflect short-term conditions. It suggests adding fundamental checks and more detailed technical filters. No backtest results, performance figures, or precise validation of the reversal definition are provided. The examples also differ in implementation details, so users would need to verify that their data, pattern definition, and timing of the moving-average comparison match the intended screen.
Key ideas
- The screen requires a daily high-low range greater than 1%.\nIt combines that range filter with a reversal pattern and a prior close above the 250-day moving average.\nThe examples describe implementations in a charting formula and Python.\nThe post warns that technical filters may miss fundamentally strong companies and may not fit every stock.\nNo performance evidence is supplied, and implementation details should be checked.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.