ADAPTIVE TREND EXHAUSTION Trading Guide

Last updated: March 3, 2026

The Adaptive Trend Exhaustion (ATE) is an advanced momentum oscillator designed to detect precision trend exhaustion points and reversal entries. By applying adaptive Bollinger Bands over a normalized volume-weighted double-momentum line, it alerts traders exactly when a trend has statistically overextended itself.

What does the indicator show?

  • Trend Power Line: The white oscillator line tracking the core normalized momentum (-100 to 100).
  • Signal Line: The pink secondary line serving as a smoothed moving average of the trend power.
  • Adaptive Bands (Upper & Lower): Dynamic borders (dashed) that adjust their width based on recent volatility. Overstepping these lines signals potential exhaustion.
  • Acceleration Histogram (4-Color): Visualizes the immediate momentum delta (trend vs. signal). Green/Red for growing momentum, Yellow/Cyan for decaying momentum.
  • SHORT / LONG Alerts: Explicit visual markers triggered on the main chart when exhaustion conditions align with specific candlestick confirmations.

Key Settings

  • Fast/Slow/Signal Trend Length: The core moving average periods used to calculate the underlying double momentum.
  • Adaptive Band Length & Multiplier: Controls the sensitivity and width of the upper and lower exhaustion bounds.
  • Volume Weighting: Toggles whether momentum is multiplied by relative volume anomalies.
  • Normalization Lookback: The historical window used to scale the raw momentum values strictly between -100 and 100.

How to use Strategy Parameters (Condition Source)

Within the Strategy Tester module, you can leverage the data from this indicator to create powerful logical conditions for trade entries and exits.

1. Reversal Alerts

Immediate signals triggered by mathematical exhaustion combinations.

  • isExhaustedTop — Triggers when the trend is deeply overbought, acceleration decays, and a bearish candle forms.
  • isExhaustedBtm — Triggers when the trend is deeply oversold, acceleration recovers, and a bullish candle forms.

Strategy Example: If you are building a mean-reversion bot, use isExhaustedTop is true to execute a short trade at the peak of a volatile rally.

2. Oscillator Interactions

Standard crossover logic based on the continuous output lines.

  • trend — The main oscillator value (-100 to 100).
  • signal — The smoothed oscillator value.
  • upper / lower — The dynamic threshold values.

Strategy Example: A safer confirmation entry might require trend crosses_below upper to verify momentum is indeed rolling over before shorting.

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