Using Historical Range Bounces to Set Grid Strategy Size

Summary

The article defines a bounce number as the count of price touches at the two boundaries of a range before price reaches a take-profit level. It proposes measuring these counts across a symbol’s historical price data to inform lot sizing or the number of orders in grid and martingale strategies. A channel is specified by a midpoint and a half-height; the examples explain how alternating touches at the upper and lower boundaries map to different bounce counts before a target is reached. The tool presents the resulting counts as a frequency distribution.

Users can choose the lookback candle count, timeframe, and channel half-height. The author recommends lower timeframes for narrower channels and warns that very large lookbacks may cause memory problems. The examples show that some bounce counts may be rare or absent in the selected history, and that a longer lookback can change their observed frequency. These statistics describe past price paths; the article provides no evidence that bounce frequencies predict future behavior or make martingale exposure safe.

Key ideas

• Bounce number counts boundary touches within a price channel before price reaches a take-profit level.
• Historical bounce frequencies are proposed as an input to grid or martingale lot sizing and order-count decisions.
• The selected timeframe, channel width, and lookback period affect the resulting counts.
• Rare or absent historical bounce counts may appear when the sample is extended.
• The tool describes historical behavior but does not establish future probabilities or control martingale risk.

Tags

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