Robust Bollinger Bands with Trend Strength Indicator

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The "Robust Bollinger Bands with Trend Strength" indicator is a powerful technical analysis tool designed to:
✔ Assess price volatility
✔ Identify high-probability trading opportunities
✔ Quantify trend strength with statistical rigor

This advanced indicator combines robust statistical methods and percentile-based calculations to deliver noise-resistant market insights while minimizing the impact of outliers and non-normal price distributions.


How the Indicator Works

1. Bollinger Bands Calculation

Like traditional Bollinger Bands, this tool plots:

Key Enhancement:
👉 Discover how robust statistics improve trading accuracy

2. Robust Statistical Foundation

Replaces standard deviation with:

3. Trend Strength Analysis

Incorporates a rank-based correlation coefficient to evaluate:

Parameter Settings:

| Parameter | Value | Purpose |
|------------------|-------|----------------------------------|
| Correlation Length | 14 | Optimal balance for responsiveness |
| Threshold | ±0.7 | Filters weak/noisy trends |

4. Visual Trend Identification

Color-coded fills between bands:


Key Benefits for Traders

  1. Noise Reduction: Fewer false signals from volatile price action
  2. Statistical Confidence: Rank-based metrics validate trend strength
  3. Adaptive Bands: IQR-adjusted boundaries reflect true volatility

FAQ

Q: How does this differ from standard Bollinger Bands?

A: Traditional bands use standard deviation, which is sensitive to outliers. This version uses IQR for superior outlier resistance.

Q: What timeframes work best?

A: Effective across timeframes (1H–daily), with 14-period length optimized for most assets.

Q: Can it predict reversals?

A: Correlation coefficient shifts hint at exhaustion, but confirm with volume/price action.

Q: How reliable is the ±0.7 threshold?

A: Backtested to show statistical significance (p<0.05) for trend confirmation.


Strategic Applications

👉 Master volatility-based strategies


Final Notes

This indicator excels in trending markets but should be combined with:

By focusing on statistically robust metrics, traders gain an edge in separating meaningful trends from market noise.