PROTECTED SOURCE SCRIPT

EMA Distance Bands

55
EMA Distance Bands

Use EMA Distance Bands to visualize historical price extension directly on your chart by translating percentage-based distance statistics into multi-tier adaptive price envelopes around a reference EMA.

These bands represent normal vs extreme price behavior relative to a higher-timeframe EMA, giving traders quantitative context about how far price is stretched from its structural mean.

Timeframe-agnostic, the indicator works across all chart and EMA timeframe combinations, making it versatile for scalping, intraday, and swing trading.

✂️ What It Does

- Plots a selectable EMA from any timeframe on your chart
- Measures percentage distance between price and the EMA
- Computes average and standard deviation of this distance over a configurable lookback
- Converts these statistics into price-based bands:
- 0.5σ band → minor deviations / “normal range”
- 1σ band → typical daily/weekly variation
- 2σ band → rare/extreme price extensions
- Shades the “normal range” for visual clarity


snapshot
Bitcoin Daily Chart vs Weekly EMA


🔦Intention:
EMA Distance Bands are designed to answer the question:
“Where does price normally trade, and how extreme is the current deviation from the structural mean?”
Unlike a simple moving average envelope, the bands quantify rarity, giving traders a clear sense of statistical stretch.

✨ Key Features:

- Timeframe-agnostic EMA reference
- Multi-tier bands (0.5σ, 1σ, 2σ) for granular context
- Dynamic shading of normal range
- Numeric insight: compare current distance vs historical standard deviation
- Non-repainting, fully historical
- Clean on-chart visualization
- Works across all instruments and chart timeframes

📚 How to Read It

Price inside 1σ band → normal, statistically expected range
Price between 1σ and 2σ → stretched, may revert
Price outside 2σ band → extreme, rare price extensions
Compare with EMA Distance Index oscillator to see exact numeric distance relative to current bands

snapshot
Bitcoin 1h chart vs 4h EMA

📈 Best Practices

- EMA timeframe should be equal to or higher than chart timeframe
- Use for context, risk framing, and identifying stretched conditions
- Combine with chart structure, VWAP, or volume for discretionary signals
- Adjust lookback based on chart timeframe for meaningful bands

🎹 Common Use Cases

- Identify mean-reversion opportunities
- Detect intraday or swing overextensions
- Evaluate trend pullbacks vs session/daily context
- Risk framing and stop placement
- Volatility regime awareness

🛠️ Settings Overview

- EMA Length – period of the reference EMA
- EMA Timeframe – timeframe of EMA calculation (scalable across charts)
- Lookback Bars – number of chart bars used to compute average and standard deviation


🖥️ Why This Is Powerful

This enhanced band system turns your EMA reference into a quantitative envelope, showing where price usually is, how extreme it is currently, and providing numeric and visual context in one tool.

Paired with the EMA Distance Index oscillator, it forms a complete framework for assessing price location and statistical stretch across any timeframe.


⚠️ Disclaimer:
EMA Distance Bands are intended for contextual and statistical analysis of price relative to a selected EMA. The bands illustrate typical ranges and extreme deviations, but do not constitute trade recommendations.

Market conditions can change rapidly, and historical patterns or standard deviations do not predict future price movements. Users are responsible for their own decisions, including risk management, trade execution, and capital allocation.

The developer is not liable for any losses or damages resulting from the use of this indicator. By using this tool, you accept full responsibility for your trading actions.

If you'd like access or have any questions, feel free to reach out to me directly via DM.

Disclaimer

The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.