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Enhanced MACD with Divergence (NT)
- Categories: Indicator, NinjaTrader, NT All Access
- Tags: DIvergence, MACD, Oscillator
- Type: Priced
The Enhanced MACD with Divergence for NinjaTrader is a premium indicator that allow the user to fully customize the MACD. It also contains a fully functioning divergence detection algorithm.
Note: This download requires NinjaTrader 8 release 8.1.3 or newer.
Overview of MACD with Divergence
The Moving Average Convergence Divergence (MACD) is one of the most popular and widely used technical indicators among traders. It helps identify changes in the strength, direction, momentum, and duration of a trend in a stock's price. The MACD is highly favored due to its simplicity and the valuable insights it provides, making it an essential tool for both novice and experienced traders.
Advanced Features of MACD with Divergence
- Custom Data Source: Users can select from various data inputs, enhancing flexibility beyond just closing prices.
- Internal Averaging Methods: The indicator supports multiple averaging methods, including Exponential, Simple, Hull, Weighted, VWMA, TMA, TEMA, and Wilders, allowing traders to customize the smoothing process to fit different market conditions.
- Customizable Periods: The indicator allows users to adjust the fast period, slow period, and average period, tailoring the indicator to specific trading strategies and timeframes.
- Smoothing: Smoothing is essential especially with the included divergence algorithm. This helps product more consistent signals and reduce clutter.
- Divergence Detection: Our MACD includes an advanced divergence detection algorithm, which identifies bullish and bearish divergences. This feature highlights potential reversal points and enhances the accuracy of trading signals. A video is included that fully explains how our divergence algorithm operates.
- Alerts: Alerts can be set by the user when a divergence is detected.
Review the screenshots for setup options.
Click at the following link for a list of all of NinjaTrader's Downloads.
Click here for installation instructions.
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