The Fibonacci Cluster indicator for MT4 is a custom indicator for identifying high-probability zones for trend reversal/continuation setups based on the Fibonacci retracement levels. The indicator highlights swing zones where multiple Fibonacci retracement levels overlap or are nearby.
In essence, the indicator highlights a confluence of different Fibonacci levels, which tend to act as stronger potential support or resistance zones. Thus, Forex traders can use the identified Fibonacci cluster levels to determine the probable direction of the market.
Features of the Fibonacci Cluster Indicator for MT4
The indicator uses algorithms that analyze the price data for past Fibonacci retracement levels. It then identifies and plots horizontal lines on the zones where multiple past Fibonacci levels meet or are very close to each other.
Therefore, traders can anticipate certain price movements at the horizontal lines, which represent the Fibonacci cluster zones of past price action. For instance, traders might watch the horizontal line displayed by the indicator for potential trend continuation trading opportunities after the price breaks and retest it.
Benefits of Using the Indicator
- Enhances Strong Support/Resistance Identification: The indicator helps traders to identify reliable support and resistance zones from different Fibonacci levels, which enhances trading accuracy compared to using a single Fibonacci zone.
- Objective Analysis: The indicator helps improve objective trend analysis, thereby increasing trading efficiency.
- Increases Confidence: Making trading decisions on zones where multiple Fibonacci levels of past price action converge increases traders’ confidence in the zones.
Indicator Settings Description
The indicator comes with the following customizable settings:
Factor: Determines the type of multiplier applied to the ATR.
ATR_Period: Determines the number of periods for the ATR.
ATR_Multiplier: Determines the number of multipliers for the ATR.
LevelsColor: Determines the color of the Fibonacci cluster levels.
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