Percentrank Threshold Crossings for Trend Following
Summary
This strategy uses the percentrank of a selected price series over a configurable lookback window. It shifts the indicator by a scale offset, then compares it with separate long and short thresholds: crossing upward through the long level opens a long position, while crossing downward through the short level opens a short position. The described exits use the opposite threshold crossings. The document presents this as a combination of trend following and reversal ideas and suggests tuning the lookback, offset, and levels.
It warns that unclear or ranging markets can produce false signals, while poor parameter choices may cause excessive or sparse trading. Suggested extensions include stop losses, moving-average confirmation, multiple timeframes, and automated parameter selection. A BTC-USDT Binance futures backtest interval is specified, but no results or evidence of profitable performance are provided. The prose's explanation of shifting the percentrank range is not fully consistent with the source's subtraction of the offset, and the example thresholds are negative and positive after that shift; implementation and signal interpretation therefore need checking before evaluation.
Key ideas
- Percentrank measures a selected price series' relative position within a configurable historical window.
- An offset shifts the indicator before it is compared with long and short thresholds.
- Crossings through the thresholds trigger entries, with opposite crossings described as exits.
- The document identifies range-bound conditions and parameter selection as sources of unreliable signals.
- A futures test interval is listed, but no performance results are reported.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.