Momentum Squeeze Indicator: Formulas, Release Signals and Testing
A momentum squeeze indicator combines a volatility-compression condition with a directional oscillator. Compression describes the recent price distribution; it does not establish when a breakout will occur, how far it will travel or which direction will succeed. The exact script matters because TTM Squeeze, LazyBear's derivative and Pineify's BB Squeeze use different calculations.
Identify the Version
LazyBear describes Squeeze Momentum Indicator as a derivative of John Carter's TTM Squeeze and explicitly distinguishes its linear-regression histogram from Carter's momentum calculation. They should not be described as identical.
The publication also links to a corrected source addressing a Bollinger multiplier typo. Record which version you use before comparing signals. A strategy conversion by another author adds entry, exit and sizing choices; its results do not measure an indicator independently of those choices.
Read the Compression and Momentum Separately
In the corrected source linked by the author, Bollinger Bands use an SMA and standard deviation. The Keltner calculation uses an SMA of close and an SMA of true range, or high-low range when that option is disabled. This is not an EMA plus Wilder-smoothed ATR definition.
Black crosses require both Bollinger boundaries inside the Keltner boundaries. Gray requires both outside. Blue represents neither condition, so “not squeezed” is not always the same as the gray release state. The histogram applies linear regression to close minus the average of the high-low midpoint and the close SMA. Positive values can be falling; negative values can be rising.
Those formulas explain the display, not a trading advantage. A width comparison can change because either measure changes. A longer compression sequence does not mathematically imply a larger subsequent move.
Pineify's BB Squeeze Is a Different Component
The current Pineify Bollinger Bands Squeeze component compares Bollinger standard-deviation width with ATR times a Keltner factor. It flags a squeeze when that ratio is below one and provides a separate CCI output for directional context. Current defaults are BB period 20, BB deviations 2, Keltner period 20, factor 1.5 and CCI period 50.
This component does not implement LazyBear's linear-regression histogram. Its width-ratio test also does not compare independently positioned channel boundaries. The internal component is marked as non-free; check current plan access instead of assuming that a free community script and a Pineify component have the same entitlement.
Choose the component that matches your intended calculation, then inspect its output on TradingView. Do not label a different squeeze formula as an exact reproduction.
Define a Release Event Before Testing
Write the condition in terms of states and transitions, not colors alone. For a LazyBear-style experiment, specify whether entry requires a direct change from black to gray or permits an intervening blue state. Decide whether the histogram must only be positive or must also exceed its preceding value.
For an illustrative long-only test, you could require a confirmed release with a positive, increasing histogram, allow one position and submit an entry for the next available fill. That is an unvalidated research rule. A protective stop below a previously defined consolidation low and an exit on declining histogram are different exit mechanisms; record their precedence if both occur.
Measure the bar when a condition becomes available. An open-bar signal can disappear before close, and using developing higher-timeframe inputs introduces another confirmation boundary. Consult TradingView's repainting documentation when adapting or combining scripts.
Compare Parameters and Filters
Keep an unfiltered baseline. Add a trend filter or volume requirement one at a time, then compare trade count, average payoff, drawdown and costs on the same period. A volume condition needs a usable volume feed; forex tick volume and centralized exchange volume are not interchangeable measurements.
Changing the Keltner factor changes the width comparison. Reducing it narrows the channel and generally makes full Bollinger containment harder with other inputs fixed; it is not a universal way to obtain earlier entries. Defaults are starting parameters, not proven optima across stocks, crypto and forex.
A timeframe comparison should use consistent execution and cost assumptions. An options trade also depends on the option's price, spread and contract characteristics; a squeeze on the underlying does not determine an option return.
Record Failed Releases Too
Keep a signal log with instrument, feed, chart interval, script version, inputs, confirmation time, entry and exit assumptions, and transaction costs. Include releases followed by little movement, reversals and gaps. Do not select only the charts that later became large trends.
Reserve a later test period before choosing settings. TradingView's Strategy Tester requires a strategy with explicit orders; an indicator's colored histogram alone does not produce a trade report. Pineify can help draft such rules, but generated code still needs inspection, syntax validation and execution testing.
