Hey everyone. I am part of KeyAlgos, a small development team that builds custom trading tools across MQL, PineScript, and NinjaScript for traders needing specific, tailored solutions. We have spent considerable time addressing a critical flaw in traditional trend detection systems, and the result is an indicator that adapts to volatility rather than fighting against it.

**The Problem with Static Filters**

Most trend indicators rely on fixed thresholds. A value of 25 might indicate a trend today, but during high volatility expansion, that same 25 reading could represent meaningless chop. Conversely, during low volatility periods, a reading of 20 might actually indicate a clean trend that gets filtered out. Static thresholds force you to choose between sensitivity and noise reduction, and that compromise breaks down when market conditions shift.

**The Solution: Adaptive Efficiency Ratio with Volatility Normalization**

Our approach uses Kaufman's Efficiency Ratio as the foundation but adds a dynamic normalization layer. Instead of comparing efficiency against a fixed number, the system calculates a baseline requirement and then scales it in real time based on current volatility relative to historical norms. When the market becomes more volatile, the threshold automatically increases to maintain signal quality. When volatility contracts, the threshold decreases to capture subtle directional movement that rigid filters would miss.

**Core Components**

*   **Efficiency Ratio Calculation:** Measures the relationship between net price displacement and total path distance over N bars. A reading near 1.0 indicates a perfect trend with minimal retracement. A reading near 0.0 indicates pure noise where price went nowhere despite significant movement.
*   **Volatility Normalization Engine:** Compares current ATR against a rolling mean to create an adaptive scaling factor. This ATR Ratio adjusts the efficiency threshold dynamically, ensuring the definition of "trending" remains consistent across different volatility regimes.
*   **Four Regime Classification:** The system categorizes market state into distinct buckets. Uptrend indicates high efficiency with positive displacement. Downtrend indicates high efficiency with negative displacement. Choppiness indicates low efficiency during above average volatility. Consolidation indicates low efficiency during compressed volatility.
*   **Zero Lag Divergence Detection:** Identifies four distinct divergence patterns using confirmed swing points. Regular Bearish and Regular Bullish divergences signal potential reversals when price extremes are not confirmed by efficiency extremes. Hidden Bearish and Hidden Bullish divergences signal trend continuation when pullbacks show efficiency deterioration that resolves back in the trend direction.

**Practical Application**

Use the regime colors as a primary filter. Only initiate long positions when the indicator displays teal coloring and short positions when it displays maroon. Treat orange and gray regimes as no trade zones or position reduction zones. This single filter eliminates a significant portion of false breakouts and whipsaws.

The divergence system serves as a timing mechanism. Regular divergences work best at support and resistance levels, providing early warning of momentum exhaustion. Hidden divergences excel for adding to winning positions during retracements, indicating when a pullback is losing efficiency and the primary trend is likely to resume.

For lower timeframes, reduce the lookback periods and lower the base threshold to account for increased noise. For higher timeframes, extend the lookback periods and raise the base threshold to focus on significant structural moves only.

**Customization Highlights**

*   **ER Lookback:** Controls sensitivity. Shorter periods react faster to price changes. Longer periods smooth the oscillator.
*   **Base ER Threshold:** The foundation of the dynamic calculation. Higher values require cleaner trends. Lower values allow noisier price action.
*   **Max Threshold Cap:** A safety mechanism preventing the adaptive threshold from reaching mathematically impossible levels during extreme volatility events.
*   **Swing Definition Length:** Determines the minimum bars required to establish a pivot for divergence detection. Lower values catch micro structure. Higher values focus on major swings.

**Final Notes**

The indicator does not repaint. All swing points require confirmation on the subsequent bar, ensuring signals remain fixed once printed. The volatility normalization component specifically addresses the failure mode where traditional efficiency indicators become useless during volatility regime changes.

You can find the script here:

https://www.tradingview.com/script/cZh1nTk6-Adaptive-Regime-Filter-Divergence-AER-VN-KEYALGOS/

Feedback is welcome. We are constantly refining these tools based on real trading applications.

Adaptive Regime Filter + Divergence (AER-VN) [KEYALGOS] - Open Source script with Volatility-Adaptive Logic and Zero-Lag Divergence Detection