OPEN-SOURCE SCRIPT

SuperTrend Adaptive (STD Smooth)

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Supertrend Adaptive (Smoothed StdDev)

Supertrend Adaptive is a refined trend-following indicator based on the classic Supertrend. It enhances the original by incorporating smoothed standard deviation into the volatility calculation, instead of relying solely on ATR. This hybrid approach enables more responsive and adaptive trend detection, reducing noise and false signals in volatile or ranging markets. The indicator also features confidence-weighted signal labels and a clean, uncluttered display, making it practical for any trading timeframe.

🔍 Detailed Methodology and Conceptual Foundation
Unlike traditional Supertrend indicators that use only absolute volatility (ATR) to define trend bands, this version blends standard deviation — a relative volatility measure — into the calculation. Standard deviation helps capture the dispersion of price, not just its range, and when smoothed, it filters out erratic jumps caused by sudden spikes or drops.

This fusion creates trend bands that expand and contract dynamically based on recent price variability. As a result:

  1. Fewer whipsaws: The trend bands adjust to both low and high volatility environments, which helps avoid unnecessary signal flips during consolidation.
  2. Stronger trend adherence: Signals are less reactive to momentary price movements. This allows the indicator to hold positions longer in trending markets, giving traders the opportunity to ride extended moves.
  3. Bollinger Band-style adaptation: By including standard deviation, this indicator behaves similarly to Bollinger Bands — accounting for relative price change rather than absolute moves alone.

These enhancements make the tool suitable not only for identifying directional bias, but also for refining entries and exits with more context-aware volatility filtering.

📈 How to Use the Indicator
Trend Direction: The script draws a colored line beneath (uptrend) or above (downtrend) price. Green indicates bullish trend, red indicates bearish.

Buy/Sell Labels: Only the most recent signal is shown to reduce clutter:

🟢 Green "Buy" label = trend reversal to bullish, with strong confidence.

🔵 Blue "Buy" label = same reversal, but with lower volume confidence.

🔴 Red "Sell" label = trend reversal to bearish, with strong confidence.

🟠 Orange "Sell" label = bearish signal with lower volume confidence.

These color codes are derived from comparing current volume to its average — a higher-than-average volume gives greater confidence to the signal.

Settings:

ATR Period: Controls the smoothing window for volatility calculation.

ATR Multiplier: Adjusts the size of the trend bands.

Std Smooth: Controls smoothing applied to standard deviation to reduce jitter.

Change ATR Method: Option to toggle between default and smoothed ATR.

Show Signals: Toggle for label display.

📢 Alerts
The script includes three built-in alert conditions:

Buy Signal: Triggered when the trend flips to bullish.

Sell Signal: Triggered when the trend flips to bearish.

Trend Direction Change: Alerts on any switch in trend regardless of confidence level.

These alerts allow traders to automate notifications or integrations with bots or trading platforms.

🧼 Clean Chart Display
To ensure clarity and comply with best practices:

The chart shows only this indicator.

Trend lines are drawn in real time for visual context.

Only one label per direction is shown — the most recent one — to keep the chart readable.

No drawings or unrelated indicators are included.

This setup ensures the script’s signals and structure are immediately understandable at a glance.

📌 Best Use Cases
This tool is designed for:

Traders who want adaptive volatility filters instead of rigid ATR-based models.

Scalpers and swing traders who prefer clean charts with minimal lag and fewer false signals.

Any asset class — works well on crypto, FX, and equities.

Shortcoming of this tool is sideway price action (will be tackled in next versions).

Credit for tradingview.com/u/KivancOzbilgic/ the version which this script extends.

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.