QQE MOD + SSL Hybrid + Waddah Attar Explosion
May 5, 2022

The QQE MOD + SSL Hybrid + Waddah Attar Explosion indicator is a comprehensive strategy tool that combines three popular momentum and trend-following indicators to identify high-probability trade entries and exits. By integrating the leading signals of the QQE MOD with the trend filtering of the SSL Hybrid and the volume-based volatility of the Waddah Attar Explosion, this script provides a robust framework for systematic trend trading.
Usage
The strategy uses a multi-layered confirmation process to filter out market noise and focus on strong trending environments. It is primarily designed for backtesting purposes but serves as a visual guide for live market analysis.
- Long Entry: Triggered when the QQE Mod turns blue (leading indicator), the SSL Hybrid baseline is blue with price trading above the MA Channel, and the Waddah Attar Explosion histogram is green and above the explosion line.
- Short Entry: Triggered when the QQE Mod turns red, the SSL Hybrid baseline is red with price trading below the MA Channel, and the Waddah Attar Explosion histogram is red and above the explosion line.
- Exit Logic: Positions are closed when the SSL Hybrid generates an "EXIT" arrow signal, allowing for dynamic profit taking based on trend exhaustion.
Risk management is built into the script, allowing users to define a fixed percentage of account equity to risk per trade. Stop losses are automatically placed at recent swing highs or lows based on a user-defined lookback period.
Details
The script's execution logic is based on the synergy of three distinct technical concepts:
- QQE MOD: A modified version of the Quantitative Qualitative Estimation, which uses smoothed RSI and volatility bands to identify momentum shifts before they appear in price action.
- SSL Hybrid: A versatile trend-following system that utilizes various Moving Average types (HMA, JMA, LSMA, etc.) and ATR-based channels to define the primary market bias and potential reversal points.
- Waddah Attar Explosion: A technical calculation that compares Bollinger Bands and MACD to measure the "explosion" or intensity of a price move. It ensures that entries only occur during periods of high relative volume and volatility.
For the best visual experience, users may want to load the individual indicators separately to see the full histogram and channel details, as the strategy combines their logic into a single execution panel.
Settings
- Swing High/Low Lookback Length: Determines the number of previous candles used to find the price peak or valley for stop loss placement.
- Account percent loss per trade: Defines the risk per trade as a percentage of total account equity.
- Start/End Date Range: Sets the historical window for backtesting calculations.
- Indicators - QQE Mod Settings: Configures RSI length, smoothing, and Bollinger Band multipliers for the momentum component.
- Indicators - SSL Hybrid: Selects the Moving Average type (e.g., HMA, JMA), baseline length, and ATR multipliers for trend filtering.
- Indicators - Waddah Attar Explosion: Adjusts sensitivity, EMA lengths, and standard deviation multipliers to tune the volume/volatility filter.
FAQ
How do I interpret the entry signals on the chart? Entries are marked when all three sub-indicators align: momentum (QQE), trend (SSL), and volume (WAE). When these conditions are met, the strategy executes a trade and plots the stop loss and exit points.
Which timeframe is recommended for this strategy? While the indicator can be applied to any timeframe, it is optimized for higher timeframes like the 1H, where trend signals are typically more reliable and less prone to whip-saws.
How can I access this indicator? You can get access on the LuxAlgo Library for charting platforms like TradingView, MetaTrader (MT4/MT5), and NinjaTrader for free.
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Hypothetical or Simulated performance results have certain limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not been executed, the results may have under-or-over compensated for the impact, if any, of certain market factors, including, but not limited to, lack of liquidity. Simulated trading programs in general are designed with the benefit of hindsight, and are based on historical information. No representation is being made that any account will or is likely to achieve profit or losses similar to those shown.
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