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Phantom Trend Cloud + Bands [CLEVER]

“Phantom Trend Cloud + Bands [CLEVER]” indicator actually does.
You’ve got a sophisticated mash-up of trend structure, adaptive ATR-based retests, and multi-layer smoothed Bollinger bandwidths using a Nadaraya-Watson kernel regression.
Let’s walk through it in plain language.
XAUUSD 
USDCNH
BTCUSD 
GBPMXN
USOIL
⭐ High-Level Overview
This indicator combines two major systems:
1️⃣ Phantom Trend System (Top Layer)
A trend-tracking engine that:
Uses two moving averages (MA1 and MA2) calculated on any chosen timeframe
Adds ATR-based offsets to detect retests
Identifies trend direction and trend shifts
Draws dotted support/resistance retest lines during trend continuation
Generates configurable BUY/SELL signals on retests
2️⃣ Multi-Level Smoothed Bollinger Bands (Bottom Layer)
A custom band system that:
Builds 4 total Bollinger envelopes (short, med, long, long+)
Smooths each using Nadaraya–Watson kernel regression, giving ultra-smooth curves
Fills the regions between band levels with color-coded clouds
Detects band breaks and optionally triggers notifications
Highlights breakouts with triangle markers
💠 Part 1 — Phantom Trend Engine
✔ How the trend is calculated
You choose MA type: SMA, EMA, RMA, WMA, VWMA
Two MAs are computed:
MA1 = length
MA2 = length × 2
Trend = MA1 > MA2
ATR = 200-period ATR
MA1 and MA2 are shifted up/down by ATR depending on trend, helping define structure.
✔ Retest logic
A trend continuation retest triggers when:
Price crosses back over the ATR-offset MA
No trend change
Retests spaced at least 5 bars apart
Bar is confirmed
Trend direction matches the retest type
✔ Signals
When retestUp or retestDn occur:
Draws dotted line from prior bar to current bar
Places configurable BUY/SELL shapes (user selects style)
Adds "BUY" or "SELL" labels
Trend color (user-selected) is applied to shapes
💠 Part 2 — Multi-Level Bollinger Cloud System
This section is large and powerful. Here’s what it delivers:
✔ Multiple Bands
You create 4 Bollinger layers:
First = short period
Second = medium period
Third = long period
Fourth = long period + long deviation
Each band pair gives:
Upper line (BOLU)
Lower line (BOLD)
✔ Kernel Regression Smoothing
Instead of plotting raw Bollinger bands, each is run through:
Nadaraya-Watson Gaussian smoothing
(running_nadaraya())
This gives incredibly smooth, fluid, lag-reduced bands with far fewer jagged edges.
✔ Color Theme System
Each band layer has:
Bull color
Bear color
Two shading levels for cloud fills
Creates a visually layered volatility cloud.
✔ Cloud Fills
The script fills:
Level 1 (short → medium band gaps)
Level 2 (medium → long band gaps)
These visually show:
Narrow bands = compression
Wide bands = volatility expansion
Color flips = sentiment pressure shifts
✔ Breakout Detection
The indicator identifies when price:
Breaks above the smoothed upper band
Breaks below the smoothed lower band
And optionally sends alerts.
Small triangle markers show these breakout events.
💠 Part 3 — Labels, Alerts, Plot Control
You included:
optional labels for band-break events
optional alerts
switchable plotting for bands
choice of shape style for signal markers
automated pivot source logic
logic to handle repaint vs non-repaint behavior
🎨 Overall Visualization
You end up with:
✔ Trend structure (Phantom)
Dotted S/R retest lines
Trend-colored MA backbone
BUY/SELL retest signals
✔ Bands cloud system
Multi-layer volatility cloud
Ultra-smooth kernel-filtered Bollinger envelopes
Breakout markers
The chart becomes a hybrid of:
Trend-following
Mean-reversion
Volatility structure
Smoothed breakout detection
Very similar to a fusion of:
Phantom Trend
LuxAlgo Cloud
Nadaraya-Watson Bands
Multi-Bollinger adaptive compression
📌 In short:
Your indicator is a dual-system tool that:
✔ Tracks trend direction
✔ Spots high-probability trend retests (BUY/SELL signals)
✔ Maps volatility regimes using smoothed Bollinger clouds
✔ Highlights breakouts and band exits
✔ Provides a very polished aesthetic with multiple smoothing layers
You’ve got a sophisticated mash-up of trend structure, adaptive ATR-based retests, and multi-layer smoothed Bollinger bandwidths using a Nadaraya-Watson kernel regression.
Let’s walk through it in plain language.
⭐ High-Level Overview
This indicator combines two major systems:
1️⃣ Phantom Trend System (Top Layer)
A trend-tracking engine that:
Uses two moving averages (MA1 and MA2) calculated on any chosen timeframe
Adds ATR-based offsets to detect retests
Identifies trend direction and trend shifts
Draws dotted support/resistance retest lines during trend continuation
Generates configurable BUY/SELL signals on retests
2️⃣ Multi-Level Smoothed Bollinger Bands (Bottom Layer)
A custom band system that:
Builds 4 total Bollinger envelopes (short, med, long, long+)
Smooths each using Nadaraya–Watson kernel regression, giving ultra-smooth curves
Fills the regions between band levels with color-coded clouds
Detects band breaks and optionally triggers notifications
Highlights breakouts with triangle markers
💠 Part 1 — Phantom Trend Engine
✔ How the trend is calculated
You choose MA type: SMA, EMA, RMA, WMA, VWMA
Two MAs are computed:
MA1 = length
MA2 = length × 2
Trend = MA1 > MA2
ATR = 200-period ATR
MA1 and MA2 are shifted up/down by ATR depending on trend, helping define structure.
✔ Retest logic
A trend continuation retest triggers when:
Price crosses back over the ATR-offset MA
No trend change
Retests spaced at least 5 bars apart
Bar is confirmed
Trend direction matches the retest type
✔ Signals
When retestUp or retestDn occur:
Draws dotted line from prior bar to current bar
Places configurable BUY/SELL shapes (user selects style)
Adds "BUY" or "SELL" labels
Trend color (user-selected) is applied to shapes
💠 Part 2 — Multi-Level Bollinger Cloud System
This section is large and powerful. Here’s what it delivers:
✔ Multiple Bands
You create 4 Bollinger layers:
First = short period
Second = medium period
Third = long period
Fourth = long period + long deviation
Each band pair gives:
Upper line (BOLU)
Lower line (BOLD)
✔ Kernel Regression Smoothing
Instead of plotting raw Bollinger bands, each is run through:
Nadaraya-Watson Gaussian smoothing
(running_nadaraya())
This gives incredibly smooth, fluid, lag-reduced bands with far fewer jagged edges.
✔ Color Theme System
Each band layer has:
Bull color
Bear color
Two shading levels for cloud fills
Creates a visually layered volatility cloud.
✔ Cloud Fills
The script fills:
Level 1 (short → medium band gaps)
Level 2 (medium → long band gaps)
These visually show:
Narrow bands = compression
Wide bands = volatility expansion
Color flips = sentiment pressure shifts
✔ Breakout Detection
The indicator identifies when price:
Breaks above the smoothed upper band
Breaks below the smoothed lower band
And optionally sends alerts.
Small triangle markers show these breakout events.
💠 Part 3 — Labels, Alerts, Plot Control
You included:
optional labels for band-break events
optional alerts
switchable plotting for bands
choice of shape style for signal markers
automated pivot source logic
logic to handle repaint vs non-repaint behavior
🎨 Overall Visualization
You end up with:
✔ Trend structure (Phantom)
Dotted S/R retest lines
Trend-colored MA backbone
BUY/SELL retest signals
✔ Bands cloud system
Multi-layer volatility cloud
Ultra-smooth kernel-filtered Bollinger envelopes
Breakout markers
The chart becomes a hybrid of:
Trend-following
Mean-reversion
Volatility structure
Smoothed breakout detection
Very similar to a fusion of:
Phantom Trend
LuxAlgo Cloud
Nadaraya-Watson Bands
Multi-Bollinger adaptive compression
📌 In short:
Your indicator is a dual-system tool that:
✔ Tracks trend direction
✔ Spots high-probability trend retests (BUY/SELL signals)
✔ Maps volatility regimes using smoothed Bollinger clouds
✔ Highlights breakouts and band exits
✔ Provides a very polished aesthetic with multiple smoothing layers
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해당 정보와 게시물은 금융, 투자, 트레이딩 또는 기타 유형의 조언이나 권장 사항으로 간주되지 않으며, 트레이딩뷰에서 제공하거나 보증하는 것이 아닙니다. 자세한 내용은 이용 약관을 참조하세요.
보호된 스크립트입니다
이 스크립트는 비공개 소스로 게시됩니다. 하지만 이를 자유롭게 제한 없이 사용할 수 있습니다 – 자세한 내용은 여기에서 확인하세요.
면책사항
해당 정보와 게시물은 금융, 투자, 트레이딩 또는 기타 유형의 조언이나 권장 사항으로 간주되지 않으며, 트레이딩뷰에서 제공하거나 보증하는 것이 아닙니다. 자세한 내용은 이용 약관을 참조하세요.