Smoothed Moving Average Ribbon for Trend Signals
Summary
This trend-following approach forms a price ribbon by repeatedly smoothing open, high, low, and close data with a selected moving average. It supports several average types, including exponential, Kaufman adaptive, and smoothed averages, and allows one to five smoothing passes. A ribbon direction change supplies long or short signals, while an optional moving average filter can restrict entries according to trend direction or slope. Heikin-Ashi data and Bollinger Bands are available as additional options.
The document presents the method conceptually and includes a BTC/USDT futures backtest configuration covering a short sample period, but it gives no measured performance results. It cautions that extra smoothing and long average lengths can delay signals, while range-bound markets may produce false entries. Suggested adjustments include varying the average type, length, and smoothing count, then checking signals across timeframes. These are design suggestions rather than demonstrated improvements, and the strategy’s adaptability claims are not supported by comparative tests in the document.
Key ideas
- A ribbon built from smoothed price data provides directional trend signals.
- The method offers multiple moving average types and one to five smoothing passes.
- An optional average filter can confirm direction or slope before entries.
- Heikin-Ashi data and Bollinger Bands can be used as additional inputs or filters.
- Smoothing reduces noise but can delay entries and perform poorly in sideways markets.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.