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Trend Pullback Profile
25/11/2025
Desktop
注册日期 04/03/2025
交易量
27.24M
盈利点数
1.23M
销售
18
免费安装
1369
"Trend Pullback Profile" 已上传图片"Trend Pullback Profile" 已上传图片

Trend Pullback Profiler

Trend Pullback Profiler is a cTrader indicator built to analyze how a trend breathes by measuring the depth and frequency of pullbacks – now also in Fibonacci retracement %.

Using an EMA-based trend filter, the indicator:

  • detects when a clear uptrend or downtrend is in place;
  • identifies each confirmed pullback within that trend;
  • measures the pullback depth in pips;
  • computes the Fibonacci-style retracement percentage relative to the last impulse leg;
  • keeps live track of:
    • how many pullbacks occurred in the current trend,
    • the last pullback depth,
    • the average pullback depth,
    • the last Fibonacci retracement %.

On the chart, it:

  • plots a large green dot at the low of the pullback in an uptrend,
  • a large red dot at the high of the pullback in a downtrend,
  • optionally prints a compact label like:
    22.5 p / 38.2%.

In the top-left corner, a dynamic legend displays:

  • current trend direction (UP / DOWN / NONE);
  • number of pullbacks in the current trend;
  • last pullback depth (in pips);
  • average pullback depth (in pips);
  • last Fibonacci retracement percentage.

Key Parameters

  • Trend EMA period
    EMA period used to define trend direction.
  • Min pullback size (pips)
    Minimum required pullback depth (in pips) to count as a valid retracement.
  • Breakout buffer (pips)
    Extra distance price must move beyond the previous trend extreme to confirm a new leg and close the pullback.
  • Signal offset (pips) for text
    Vertical offset for text labels relative to the pullback high/low.
  • Show legend on chart
    Toggles the on-chart legend with trend, last and average metrics.
  • Show text labels near dots
    If enabled, prints a small label next to the dot with pullback depth (and optionally Fibonacci %).
  • Show Fibonacci % in labels
    If enabled, shows both pips and Fibonacci % in the label (XX.Xp / YY.Y%).
  • Dot size
    Controls how big the dots appear on the chart, making pullbacks easy to spot even on lower timeframes.

Practical use cases

  • Visually profiling how deep pullbacks usually are on a given symbol/timeframe.
  • Planning limit entries around typical retracement zones instead of random levels.
  • Spotting unusually deep pullbacks (for example, beyond 61.8% or 78.6%) that may signal trend exhaustion or a possible reversal.
  • Adding objective, numeric pullback and Fibonacci information to your trend-trading playbook.

How Fibonacci retracement is calculated in Trend Pullback Profiler

Trend Pullback Profiler calculates the Fibonacci-style retracement percentage based on the last impulse leg of the trend, not on arbitrary highs and lows.

In an uptrend

  1. The indicator tracks an impulse leg from:
    • Trend base price = last significant low (end of the previous pullback)
    • Trend extreme = last swing high of the trend
  2. When a pullback forms, the indicator measures:
    • Depth of the pullback (price):
      depthPrice = trendHigh – pullbackLow
    • Size of the impulse leg:
      legSize = trendHigh – trendBasePrice
  3. The Fibonacci retracement percentage is:

Fib% = (depthPrice / legSize) * 100

So if price falls back roughly 38.2%–50% of the last impulse before continuing up, you’ll see values close to 38.2%, 50%, 61.8%, etc.

In a downtrend

  1. The impulse leg runs from:
    • Trend base price = last significant high (end of the previous pullback)
    • Trend extreme = last swing low of the trend
  2. The pullback goes up against the trend, and the indicator measures:
    • Depth of the pullback (price):
      depthPrice = pullbackHigh – trendLow
    • Size of the impulse leg:
      legSize = trendBasePrice – trendLow
  3. Same formula:

Fib% = (depthPrice / legSize) * 100

This way, every dot you see on the chart represents a pullback inside a clear impulse of the current trend, expressed both in pips and in Fibonacci %, so you can quickly judge if a retracement is shallow, typical, or unusually deep.

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