MACD Bollinger Bands for Pullback Entry Signals

Summary

This strategy builds a MACD-like oscillator by subtracting a slower moving average of price from a faster one. The moving average type can be selected from simple, exponential, weighted, or linear regression averages. Bollinger Bands are then calculated around the oscillator itself, using a moving average basis and a standard deviation width.

A long signal occurs when the oscillator crosses back above the lower band, and a short signal when it crosses back below the upper band. The accompanying description frames the bands as support and resistance and says entries wait for a pullback rather than entering at the initial band breakout. The source uses fixed order sizing and permits pyramiding, but gives no stop or exit rules, performance results, transaction cost assumptions, or evidence that parameter optimization improves outcomes. The approach is therefore a signal concept requiring independent testing and risk controls.

Key ideas

• The oscillator is formed from the difference between selected fast and slow moving averages of price.
• Bollinger Bands are applied to oscillator values rather than directly to price.
• Long entries trigger on a cross above the lower band, and short entries on a cross below the upper band.
• The author describes the band crossings as pullback signals with the bands serving as support and resistance.
• The document provides no empirical performance evidence or explicit exit and stop methodology.

Tags

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