BB and KeltnerStrategy using the Bollinger band with the Keltner Channels. Watch for the Bollinger bands (blue/red lines) squeezing inside the Keltner Channels (pink dots) for a breakout - this could be up or down so use in conjunction with other indicators.
"bollingerband" için komut dosyalarını ara
DepthHouse - ATR BandsDepthHouse ATR Bands  works very similar to the well-known Bollinger Bands. 
However, these bands are calculated slightly different. 
Instead of using the standard deviation formula, ATR Bands determines the size of the bands based on the average range.
 How to use: 
The bands tighten while the markets’ range becomes lower, and widens as its' range becomes broader. Giving the indicator a loaded spring effect.
A break outside of the bands in either direction usually indicates a breakout. 
All 3 bands serve as possible support and/or resistance. Meaning breaks back into the bands could indicate a reversal, or end of the breakout. 
This indicator is completely customizable, so compiling multiple sized bands on top of each other may create a strong competitive edge.
This indicator is  free  until January,1st 2018 –  see how to get below 
--
 DepthHouse's ATR Bands  is 1 of 3 indicators that will be available for purchase via subscription come Jan 2018. 
This indicator package will come with the following 3 indicators: 
 :: MaxADX :: 
::Premium oscillator to help spot forming trends and reversals. 
::  MaxADX Signals  :: 
::Taking MaxADX a step farther by creating an overlay that show possible trend strengthening and reversals via bar colors and shapes. 
::  ATRBands  ::
::Like Bollinger Bands , this indicator is uses to help spot breakouts, and overbought/sold areas. 
--
 How to get:  
To qualify for the trial period which ends January, 1st 2018, please go to the link on my profile and click subscribe! 
You will then be sent directions for your account to be added to the whitelist. 
 If you have already subscribed to one of my previous indicators, you will be added to the list shortly 
Likes and comments are so very much appreciated!
Sri - Bollinger Bands CTF (Custom Time Frame)Sri - Bollinger Bands CTF (Custom Time Frame)
📊 Overview:
The Sri - Bollinger Bands CTF indicator brings the power of multi-timeframe (MTF) analysis to classic Bollinger Bands, allowing traders to visualize volatility and price deviation from any higher or custom timeframe directly on their active chart.
⚙️ Key Features:
Custom Timeframe (CTF):
View Bollinger Bands calculated from any timeframe (e.g., Daily on a 1H chart).
Multiple MA Options:
Choose between SMA, EMA, SMMA (RMA), WMA, or VWMA as the Bollinger basis.
Adjustable Parameters:
Fine-tune length, standard deviation multiplier, and offset for your trading style.
Clear Visualization:
Colored bands with smooth shading help you instantly spot volatility expansions and contractions.
📈 Trading Insights:
Upper Band (Red): Price reaching or closing above this may signal overbought conditions or strong upward momentum.
Lower Band (Green): Price touching or closing below this often indicates oversold conditions or potential reversal zones.
Basis Line (Blue): Represents the moving average core — acts as a mean reversion level and short-term trend guide.
🧩 How to Use:
Apply the script to your chart.
Choose your Custom Timeframe (e.g., 1D, 4H, 15M) to overlay higher timeframe Bollinger Bands.
Combine with other Sri indicators or momentum signals for confluence.
Custom Bollinger Band Squeeze Screener [Pineify]Custom Bollinger Band Squeeze Screener 
 Key Features 
 
 Multi-symbol scanning: Analyze up to 6 tickers simultaneously.
 Multi-timeframe flexibility: Screen across four selectable timeframes for each symbol.
 Bollinger Band Squeeze algorithm: Detect volatility contraction and imminent breakouts.
 Advanced ATR integration: Measure expansion and squeeze states with custom multipliers.
 Customizable indicator parameters: Fine-tune Bollinger and ATR settings for tailored detection.
 Visual table interface: Rapidly compare squeeze and expansion signals across all instruments.
 
 How It Works 
 At the core, this screener leverages a unique blend of Bollinger Bands and Average True Range (ATR) to quantify volatility states for multiple assets and timeframes at once. For each symbol and every selected timeframe, the indicator calculates Bollinger Band width and compares it against ATR levels, offering real-time squeeze (consolidation) and expansion (breakout) signals. 
 
 Bollinger Band width is computed using standard deviations around a SMA basis.
 ATR is calculated to gauge market volatility independent of price direction.
 Squeeze: Triggered when BB width contracts below a multiple of ATR, forecasting lower volatility and set-up for a move.
 Expansion: Triggered when BB width expands above a higher ATR multiple, signaling a high-volatility breakout.
 Display: Results shown in an intuitive table, marking each status per ticker and TF.
 
 Trading Ideas and Insights 
 
 Spot assets poised for volatility-driven breakouts.
 Compare squeeze presence across timeframes for optimal entry timing.
 Integrate screener results with price action or volume for high-confidence setups.
 Use squeeze signals to avoid choppy or non-trending conditions.
 Expand and diversify watchlists with multi-symbol coverage.
 
 How Multiple Indicators Work Together 
This script seamlessly merges Bollinger Bands and ATR with customized multipliers:
 
 Bollinger Bands identify price consolidation and volatility squeeze zones.
 ATR tailors the definition of squeeze and expansion, making signals adaptive to volatility regime changes.
 By layering these with multi-symbol/multi-timeframe data, traders access a high-precision view of market readiness for trend acceleration or reversal.
 The real synergy is in the screener's ability to visualize volatility states for a diverse asset selection, transforming traditional single-chart analysis into a broad market view.
 
 Unique Aspects 
 
 Original implementation: Not a simple trend or scalping indicator; utilizes advanced volatility logic.
 Fully multi-symbol and multi-timeframe support uncommon in most screeners.
 Custom ATR multipliers for both squeeze and expansion allow traders to match their risk profile and market dynamics.
 Visual clarity: Table structure promotes actionable insights and reduces decision fatigue.
 
 How to Use 
 
 Add the indicator to your TradingView chart (supports any asset class including crypto, forex, stocks).
 Select up to six symbols (tickers) and set your preferred timeframes.
 Adjust Bollinger Band Length/Deviation and ATR multipliers to refine squeeze/expansion criteria.
 Review the screener table: Look for "SQZ" (squeeze) or "EXP" (expansion) cells for entry/exit ideas.
 Combine screener information with other technical or fundamental signals for trade confirmation.
 
 Customization 
 
 Symbols: Choose any tickers for scanning.
 Timeframes: Select short- to long-term intervals to match your trading style.
 Bollinger Band parameters: Modify length and deviation for sensitivity.
 ATR multipliers: Set low or high values to adjust squeeze/expansion triggers.
 Table size and layout: Adapt display for optimal workflow.
 
 Conclusion 
The Bollinger Band Squeeze Screener Pineify delivers an innovative, SEO-friendly multi-asset solution for volatility and trend detection. Harness its original algorithmic design to uncover powerful breakout opportunities and optimize your portfolio. Whether you trade crypto with dynamic volatility or scan stocks for momentum, this tool supercharges your TradingView workflow.
Bollinger Band Screener [Pineify]Multi-Symbol Bollinger Band Screener Pineify – Advanced Multi-Timeframe Market Analysis 
 
Unlock the power of rapid, multi-asset scanning with this original TradingView Pine Script. Expose trends, volatility, and reversals across your favorite tickers—all in a single, customizable dashboard.
 
 Key Features 
 
 Screens up to 8 symbols simultaneously with individual controls.
 Covers 4 distinct timeframes per symbol for robust, multi-timeframe analysis.
 Integrates advanced Bollinger Band logic, adaptable with 11+ moving average types (SMA, EMA, RMA, HMA, WMA, VWMA, TMA, VAR, WWMA, ZLEMA, and TSF).
 Visualizes precise state changes: Open/Parallel Uptrends & Downtrends, Consolidation, Breakouts, and more.
 Highly interactive table view for instant signal interpretation and actionable alerts.
 Flexible to any market: crypto, stocks, forex, indices, and commodities. 
 How It Works 
 
 For each chosen symbol and timeframe, the script calculates Bollinger Bands using your specified source, length, standard deviation, and moving average method.
 Real-time state recognition assigns one of several states (Open Rising, Open Falling, Parallel Rising, Parallel Falling), painting the table with unique color codes.
 State detection is rigorously defined: e.g., “Open Rising” is set when both bands and the basis rise, indicating strong up momentum.
 All bands, signals, and strategies dynamically update as new bars print or user inputs change.
 
 Trading Ideas and Insights 
 
 Identify volatility expansions and compressions instantly, spotting breakouts and breakdowns before they play out.
 Spot multi-timeframe confluences—when trends align across several TFs, conviction increases for potential trades.
 Trade reversals or continuations based on unique Bollinger Band patterns, such as squeeze-break or persistent parallel moves.
 Harness this tool for scalping, swing trading, or systematic portfolio screens—your logic, your edge!
 
 How Multiple Indicators Work Together 
 This screener’s core strength is its integration of multiple moving average types into Bollinger Band construction, not just standard SMA. Each average adapts the bands’ responsiveness to trend and noise, so traders can select the underlying logic that matches their market environment (e.g., HMA for fast moves or ZLEMA for smoothed lag). Overlaying 4 timeframes per symbol ensures trends, reversals, and volatility shifts never slip past your radar. When all MAs and bands synchronize across symbols and TFs, it becomes easy to separate real opportunity from market noise. 
 Unique Aspects 
 
 Perhaps the most flexible Bollinger Band screener for TradingView—choose from over 10 moving average methods.
 Powerful multi-timeframe and multi-asset design, rare among Pine scripts.
 Immediate visual clarity with color-coded table cells indicating band state—no need for guesswork or chart clutter.
 Custom configuration for each asset and time slice to suit any trading style.
 
 How to Use 
 
 Add the script to your TradingView chart.
 Use the user-friendly input settings to specify up to 8 symbols and 4 timeframes each.
 Customize the Bollinger Band parameters: source (price type), band length, standard deviation, and type of moving average.
 Interpret the dashboard: Color codes and “state” abbreviations show you instantly which symbols and timeframes are trending, consolidating, or breaking out.
 Take trades according to your strategy, using the screener as a confirmation or primary scan tool.
 
 Customization 
 
 Fully customize: symbols, timeframes, source, band length, standard deviation multiplier, and moving average type.
 Supports intricate watchlists—anything TradingView allows, this script tracks.
 Adapt for cryptos, equities, forex, or derivatives by changing symbol inputs. 
 Conclusion 
 The Multi-Symbol Bollinger Band Screener “Pineify” is a comprehensive, SEO-optimized Pine Script tool to supercharge your market scanning, trend spotting, and decision-making on TradingView. Whether you trade crypto, stocks, or forex—its fast, intuitive, multi-timeframe dashboard gives you the informational edge to stay ahead of the market. 
 Try it now to streamline your trading workflow and see all the bands, all the trends, all the time!
Triple SuperTrend + RSI + Fib BBTriple SuperTrend + RSI + Fibonacci Bollinger Bands Strategy
📊 Overview
This advanced trading strategy combines the power of three SuperTrend indicators with RSI confirmation and Fibonacci Bollinger Bands to generate high-probability trade signals. The strategy is designed to capture strong trending moves while filtering out false signals through multi-indicator confluence.
🔧 Core Components
Three SuperTrend Indicators
The strategy uses three SuperTrend indicators with progressively longer periods and multipliers:
SuperTrend 1: 10-period ATR, 1.0 multiplier (fastest, most sensitive)
SuperTrend 2: 11-period ATR, 2.0 multiplier (medium sensitivity)
SuperTrend 3: 12-period ATR, 3.0 multiplier (slowest, most stable)
This layered approach ensures that all three timeframe perspectives align before generating a signal, significantly reducing false entries.
RSI Confirmation (7-period)
The Relative Strength Index acts as a momentum filter:
Long signals require RSI > 50 (bullish momentum)
Short signals require RSI < 50 (bearish momentum)
This prevents entries during weak or divergent price action.
Fibonacci Bollinger Bands (200, 2.618)
Uses a 200-period Simple Moving Average with 2.618 standard deviation bands (Fibonacci ratio). These bands serve dual purposes:
Visual representation of price extremes
Automatic exit trigger when price reaches overextended levels
📈 Entry Logic
LONG Entry (BUY Signal)
A LONG position is opened when ALL of the following conditions are met simultaneously:
All three SuperTrend indicators turn green (bullish)
RSI(7) is above 50
This is the first bar where all conditions align (no repainting)
SHORT Entry (SELL Signal)
A SHORT position is opened when ALL of the following conditions are met simultaneously:
All three SuperTrend indicators turn red (bearish)
RSI(7) is below 50
This is the first bar where all conditions align (no repainting)
🚪 Exit Logic
Positions are automatically closed when ANY of these conditions occur:
SuperTrend Color Change: Any one of the three SuperTrend indicators changes direction
Fibonacci BB Touch: Price reaches or exceeds the upper or lower Fibonacci Bollinger Band (2.618 standard deviations)
This dual-exit approach protects profits by:
Exiting quickly when trend momentum shifts (SuperTrend change)
Taking profits at statistical price extremes (Fib BB touch)
🎨 Visual Features
Signal Arrows
Green Up Arrow (BUY): Appears below the bar when long entry conditions are met
Red Down Arrow (SELL): Appears above the bar when short entry conditions are met
Yellow Down Arrow (EXIT): Appears above the bar when exit conditions are met
Background Coloring
Light Green Tint: All three SuperTrends are bullish (uptrend environment)
Light Red Tint: All three SuperTrends are bearish (downtrend environment)
SuperTrend Lines
Three colored lines plotted with varying opacity:
Solid line (ST1): Most responsive to price changes
Semi-transparent (ST2): Medium-term trend
Most transparent (ST3): Long-term trend structure
Dashboard
Real-time information panel showing:
Individual SuperTrend status (UP/DOWN)
Current RSI value and color-coded status
Current position (LONG/SHORT/FLAT)
Net Profit/Loss
⚙️ Customizable Parameters
SuperTrend Settings
ATR periods for each SuperTrend (default: 10, 11, 12)
Multipliers for each SuperTrend (default: 1.0, 2.0, 3.0)
RSI Settings
RSI length (default: 7)
RSI source (default: close)
Fibonacci Bollinger Bands
BB length (default: 200)
BB multiplier (default: 2.618)
Strategy Options
Enable/disable long trades
Enable/disable short trades
Initial capital
Position sizing
Commission settings
💡 Strategy Philosophy
This strategy is built on the principle of confluence trading - waiting for multiple independent indicators to align before taking a position. By requiring three SuperTrend indicators AND RSI confirmation, the strategy filters out the majority of low-probability setups.
The multi-timeframe SuperTrend approach ensures that short-term, medium-term, and longer-term trends are all in agreement, which typically occurs during strong, sustainable price moves.
The exit strategy is equally important, using both trend-following logic (SuperTrend changes) and mean-reversion logic (Fibonacci BB touches) to adapt to different market conditions.
📊 Best Use Cases
Trending Markets: Works best in markets with clear directional bias
Higher Timeframes: Designed for 15-minute to daily charts
Volatile Assets: SuperTrend indicators excel in assets with clear trends
Swing Trading: Hold times typically range from hours to days
⚠️ Important Notes
No Repainting: All signals are confirmed and will not change on historical bars
One Signal Per Setup: The strategy prevents duplicate signals on consecutive bars
Exit Protection: Always exits before potentially taking an opposite position
Visual Clarity: All three SuperTrend lines are visible simultaneously for transparency
🎯 Recommended Settings
While default parameters are optimized for general use, consider:
Crypto/Volatile Markets: May benefit from slightly higher multipliers
Forex: Default settings work well for major pairs
Stocks: Consider longer BB periods (250-300) for daily charts
Lower Timeframes: Reduce all periods proportionally for scalping
📝 Alerts
Built-in alert conditions for:
BUY signal triggered
SELL signal triggered
EXIT signal triggered
Set up notifications to never miss a trade opportunity!
Disclaimer: This strategy is for educational and informational purposes only. Past performance does not guarantee future results. Always backtest thoroughly and practice proper risk management before live trading.
Bollinger Bands with 4 Moving AveragesCombines Bollinger Bands (BB) with up to four optional Moving Averages (MA) to read volatility, trend direction, and dynamic support–resistance in one overlay.
How It Works
BB: basis = MA(length, type) with standard deviation mult. upper = basis + dev, lower = basis − dev.
MA1–MA4: additional averages you can toggle (default only MA4/200 enabled).
Key Features
Flexible basis MA type for BB: SMA / EMA / RMA (Wilder) / WMA / VWMA.
Four optional MAs with independent length, color, and width (defaults: 7, 25, 99, 200; only 200 on by default).
Offset to shift BB for visual testing.
Overlay on price with shaded band between Upper–Lower.
Inputs & Defaults
BB Length = 20, StdDev = 2.0, Source = close.
Basis MA Type = SMA.
MA4 active (200), MA1–MA3 off (7/25/99 ready).
Offset = 0.
Practical Use
Use BB for volatility context: squeeze → potential breakout; expansion → strong trend.
Treat Basis / Upper / Lower as dynamic levels:
Pullbacks to Basis often become decision zones in trends.
Upper/Lower touches = relative extremes.
Add MA4(200) for primary bias; enable MA1–MA3 for finer timing.
Typical behavior:
Price > MA200 and rising basis → bullish bias; watch pullbacks to basis/MA25-like zones.
Price < MA200 and falling basis → bearish bias; watch rejections at basis/MAs.
Common Signals (not financial advice)
Breakout + BB expansion confirms momentum.
Squeeze + basis break can preface volatility expansion.
Confluence: Lower touch + fast MA in uptrends → mean-reversion setups; inverse for downtrends.
Notes
MA1–MA4 are SMA in the code; BB basis follows the selected MA type.
Test across timeframes; tune length and mult to the asset.
Disclaimer
Visual tool only. Combine with risk management, multi-timeframe confirmation, and a tested plan.
Advanced Trend & Volatility Indicator (VWAP & EMA360)Bollinger band with adjustable NO TRADE tool. green buy and red sell signals for 20 moving average added 360 moving average for micro trading. Has VWAP and additional EMA defaulted to 9 (adjust to your style). For confluence use this along with an RSI over bought and over sold WMA with similar green buy and red sell signals.  
BB + OBV + RSI Strategy (Enhanced + Daily Table) Script Brief – *BB + OBV + RSI Strategy (Enhanced + Daily Table)*
This TradingView Pine Script combines **Bollinger Bands (BB)**, **On-Balance Volume (OBV)**, **Relative Strength Index (RSI)**, and **Exponential Moving Average (EMA)** to help traders identify potential trend conditions and market strength.
**Key Features:**
* **Bollinger Bands** (20-period SMA ± 2 Std Dev by default) to track volatility and price extremes.
* **OBV & OBV Moving Average** to confirm buying or selling pressure.
* **RSI** to highlight overbought and oversold zones.
* **200 EMA** as a long-term trend filter.
* **Daily Comparison Table** (top-right corner):
  * Displays today’s vs. yesterday’s values for Close, RSI, OBV vs MA, BB Position, and EMA Trend.
  * Helps quickly assess whether momentum and trend conditions are strengthening or weakening.
**Usage:**
* The chart shows **BB lines and EMA** for real-time analysis on any timeframe.
* The **table provides higher-timeframe context** (daily values), making it easier to confirm signals across multiple timeframes.
* Best applied with backtesting and proper risk management.
BB TrendSyncBB TrendSync - Advanced Dual-Band Momentum Deviation System 
 Core Innovation and Originality 
This indicator transforms traditional Bollinger Band analysis through three key innovations that distinguish it from standard implementations:
 1. Dual-Band Percentage Oscillator Architecture:  Unlike conventional Bollinger Bands that display price levels, this system converts dual Bollinger Band calculations into percentage-based oscillators. The first system uses extended lookback periods (40-period base with 65-period standard deviation) for macro trend detection, while the second employs rapid response parameters (8-period base with 66-period standard deviation) for micro momentum capture. Each system independently calculates where price sits within its band range as a percentage from 0-100.
 2. Momentum Deviation Enhancement:  The breakthrough innovation applies standard deviation analysis to the percentage oscillator readings themselves. Rather than analyzing price volatility, this technique measures the volatility of the oscillator's position within its range over a specified period (typically 25 periods with 0.8 multiplier). This creates dynamic "bands around the bands" that adapt to changing market momentum characteristics.
 3. Multi-Modal Signal Synthesis:  The system provides five distinct methods for combining dual-band signals, from simple arithmetic averaging to consensus requirements where both systems must agree. The "Average" mode specifically utilizes momentum deviation crossovers rather than basic threshold crossovers, creating refined entry timing.
 Mathematical Framework 
 Percentage Conversion Formula: 
The core calculation transforms standard Bollinger Band readings into normalized percentages using the formula:
BB_Percent = 100 * (Source - Lower_Band) / (Upper_Band - Lower_Band)
 Momentum Deviation Calculation: 
The system then calculates the standard deviation of these percentage readings:
MD_StdDev = StandardDeviation(BB_Percent, MD_Length)
Upper_MD_Band = BB_Percent + (MD_Multiplier * MD_StdDev)
Lower_MD_Band = BB_Percent - (MD_Multiplier * MD_StdDev)
 Signal Generation Logic: 
Primary signals occur when momentum deviation bands cross predetermined thresholds, providing earlier and more reliable entry points than standard Bollinger Band touches. The system tracks band states dynamically, changing visual indicators when momentum shifts are detected.
 Value Proposition for Closed-Source Distribution 
This indicator justifies TOP ELITE access through several proprietary elements:
 Algorithmic Sophistication:  The momentum deviation methodology represents original research into oscillator volatility analysis. While Bollinger Bands are public domain, applying volatility analysis to the percentage oscillator itself is a novel approach that required extensive backtesting and optimization.
 Advanced Signal Processing:  The five-mode signal combination system with momentum deviation integration provides significantly more nuanced analysis than standard Bollinger Band implementations. The state tracking and visual feedback systems offer professional-grade market analysis tools.
 Comprehensive Analytics Engine:  The integrated performance measurement system calculates advanced metrics including Sortino ratio, Calmar ratio, and Kelly Criterion position sizing guidance in real-time, providing institutional-quality analytics typically found in expensive trading platforms.
 Professional Visualization Framework:  The dynamic color-coding system, gradient oscillator bars, and state-aware visual elements provide immediate market sentiment feedback that goes far beyond basic indicator plotting.
 Technical Implementation Details 
 Dual-System Parameters: 
System 1 (Macro): 40-period SMA base, 65-period standard deviation calculation, 1.0 multiplier
System 2 (Micro): 8-period SMA base, 66-period standard deviation calculation, 1.9 multiplier
 Momentum Deviation Settings: 
Standard deviation length: 25 periods (optimized for detecting momentum shifts)
Multiplier: 0.8 (calibrated to reduce false signals while maintaining sensitivity)
 Threshold Configuration: 
Long threshold: 62% (upper momentum zone entry)
Short threshold: 60% (lower momentum zone entry)
Close thresholds create tight range for precision timing
 Signal Modes Explained: 
 BB1 Only:  Uses macro system exclusively for trend-following signals
 BB2 Only:  Uses micro system exclusively for momentum scalping
 Average:  Employs momentum deviation crossovers of averaged systems
 Both Required:  Demands agreement from both systems before signaling
 Either One:  Triggers when any system generates signals
 Performance Metrics Explained 
 Core Performance Metrics: 
 Net Profit:  Total percentage return from strategy implementation, showing bottom-line effectiveness of the signal generation system.
 Win Rate:  Percentage of profitable trades, indicating signal accuracy. Combined with profit factor analysis to ensure statistical reliability.
 Total Trades:  Number of completed round-trip trades for statistical significance assessment.
 Current P&L:  Real-time profit/loss percentage of active positions with continuous updates.
 Risk Assessment Metrics: 
 Max Drawdown:  Largest peak-to-trough equity decline, crucial for risk management and position sizing decisions.
 Calmar Ratio:  Annualized return divided by maximum drawdown, providing risk-adjusted performance measurement.
 Advanced Risk Metrics: 
 Sharpe Ratio:  Excess return per unit of total volatility, industry standard for risk-adjusted performance comparison.
 Sortino Ratio:  Similar to Sharpe but focuses on downside deviation only, providing more realistic risk assessment.
 Kelly Criterion (Half):  Optimal position sizing calculation based on win probability and average win/loss ratios, using conservative half-Kelly approach.
 Real-Time Status: 
 Position:  Current market exposure (Long/Short/Cash)
 MD State:  Momentum deviation status (Bullish/Bearish/Neutral)
 Practical Application 
 Setup Recommendations: 
 
 Use "Average" mode for balanced signal generation combining both timeframe perspectives
 Monitor momentum deviation band colors for trend confirmation
 Observe gradient oscillator position for market sentiment assessment
 Utilize performance metrics for strategy optimization and risk management
 Adjust thresholds based on market volatility characteristics
 
 Market Applicability: 
The system functions across all timeframes and instruments, with particular effectiveness in trending markets where momentum persistence provides statistical edge. The dual-band approach captures both short-term momentum shifts and longer-term trend developments.
 Competitive Advantages 
Unlike standard Bollinger Band indicators that simply plot price bands, this system provides:
 
 Quantified momentum analysis through volatility-of-volatility calculations
 Multi-modal signal processing for diverse market conditions
 Professional-grade performance analytics with institutional metrics
 Dynamic visual feedback systems for immediate market assessment
 Optimized parameter sets developed through extensive backtesting
 
12H SUI 
  
1H BTC Since 2023
  
 Risk Disclaimer 
 
This indicator is designed for educational and analytical purposes. It does not constitute financial advice or trading recommendations. Past performance does not guarantee future results. Trading involves substantial risk of loss, and you should carefully consider your financial situation before making trading decisions. The indicator's signals should be part of comprehensive analysis and never the sole basis for trading decisions. Always conduct independent research.
 
 Technical Requirements 
Compatible with all TradingView chart types and timeframes. Optimized for real-time analysis with efficient computational algorithms suitable for live trading environments.
Elite indicatorElite Indicator – AI-Driven Signals for Profitable Trading in Stocks, Forex, and Crypto ! 
Unlock your trading potential with the Elite Indicator, your ultimate AI-powered trading companion for stocks, forex, and crypto markets. Designed to simplify your trading journey, this indicator delivers precise BUY/SELL signals directly on your chart, empowering you to trade with confidence across multiple timeframes, from 1-minute scalping to 1-day trading strategies.
Leverage the power of AI to identify high-probability trading opportunities, backed by rigorous backtesting and a proven high win-rate. 
Join the ranks of traders who have transformed their strategies with Elite Indicator – where advanced technology meets user-friendly design. Elevate your trading game and stay ahead of the curve in today's fast-paced markets.
 Transform Your Trading – Join the Elite! 🔥 
 Disclaimer: Trading involves inherent risks. Use this indicator as part of a broader risk management strategy and never invest more than you can afford to lose.
Bollinger Heatmap [Quantitative]Overview 
The Bollinger Heatmap is a composite indicator that synthesizes data derived from 30 Bollinger bands distributed over multiple time horizons, offering a high-dimensional characterization of the underlying asset.
 Algorithm 
The algorithm quantifies the current price’s relative position within each Bollinger band ensemble, generating a normalized position ratio. This ratio is subsequently transformed into a scalar heat value, which is then rendered on a continuous color gradient from red to blue. Red hues correspond to price proximity to or extension below the lower band, while blue hues denote price proximity to or extension above the upper band.
Using default parameters, the indicator maps bands over timeframes increasing in a pattern approximating exponential growth, constrained to multiples of seven days. The lower region encodes relationships with shorter-term bands spanning between 1 and 14 weeks, whereas the upper region portrays interactions with longer-term bands ranging from 15 to 52 weeks.
 Conclusion 
By integrating Bollinger bands across a diverse array of time horizons, the heatmap indicator aims to mitigate the model risk inherent in selecting a single band length, capturing exposure across a richer parameter space.
Combined Predictive Indicator### Combined Predictive Zones & Levels
This indicator is a powerful hybrid tool designed to provide a comprehensive map of potential future price action. It merges two distinct predictive models into a single, cohesive view, helping traders identify key levels of support, resistance, and areas of high confluence.
#### How It Works: Two Models in One
This script is built on two core components that you can use together or analyze separately:
**Part 1: Classic Range & Fibonacci Prediction**
This model uses classic technical analysis principles to project a potential range for the upcoming price action.
*   **Highest High / Lowest Low:** It identifies the significant trading range over a user-defined lookback period.
*   **Fibonacci Levels:** It automatically plots key Fibonacci retracement levels (e.g., 38.2% and 61.8%) within this range, which often act as critical support or resistance.
*   **ATR & Average Range:** It calculates a "predicted" upper and lower boundary based on the average historical range and current volatility (ATR).
**Part 2: Advanced Predictive Ranges (Self-Adjusting Channels)**
This is a dynamic model that creates adaptive support and resistance zones based on a smoothed average price and volatility.
*   **Dynamic Average:** It uses a unique moving average that only adjusts when the price moves significantly, creating a stable baseline.
*   **ATR-Based Zones:** It projects multiple levels of support (S1, S2) and resistance (R1, R2) around this average, which widen and narrow based on market volatility. These zones often signal areas where price might stall or reverse.
#### Key Features:
*   **Hybrid Model for Confluence:** The true power of this indicator lies in finding where the levels from both models overlap. A Fibonacci level aligning with a Predictive Range support zone is a much stronger signal.
*   **Comprehensive Data Table:** A clean, on-chart table displays the precise values of all key predictive levels, allowing for quick reference and precise trade planning.
*   **Multi-Timeframe (MTF) Capability:** The Advanced Predictive Ranges can be calculated on a higher timeframe, giving you a broader market context.
*   **Fully Customizable:** All lengths, multipliers, and levels for both models are fully adjustable in the settings to fit any asset or trading style.
*   **Clear Visuals:** All zones and levels are color-coded for intuitive and easy-to-read analysis.
#### How to Use:
1.  Look for areas of **confluence** where multiple levels from both models cluster together. These are high-probability zones for price reactions.
2.  Use the Predictive Range zones (S1/S2 and R1/R2) as potential targets for trades or as areas to watch for entries and exits.
3.  Pay attention to the on-chart table for exact price levels to set limit orders or stop-losses.
**Disclaimer:** This script is an analytical tool for educational purposes and should not be considered financial advice. All trading involves risk. Past performance is not indicative of future results. Always use this indicator as part of a comprehensive trading strategy with proper risk management.
Feedback is welcome! If you find this tool useful, please leave a like.
Anti Nyangkut – Indikator Karya Anak Bangsa Anti Nyangkut – Indikator Karya Anak Bangsa 
Indikator ini khusus buat kamu yang sering beli di pucuk dan jual di support, lalu akhirnya jadi bahan backtest orang lain.
 💡 Sinyal buy only  - muncul kalau harga udah:
✅ Di atas MA5
✅ Di atas Bollinger Bands Upper
✅ Di atas VWAP (khusus 1H & 4H)
🟢 TP dan SL otomatis muncul — biar gak cuma "niat hold sampe hijau"
📊 Cocok buat scalping & swing di 1H / 4H / 1D
Gak ada sinyal jual. Exit di tangan masing-nasing, jangan lupa pasang SL.
—
 100% gratis. Bayarnya pakai amal jariyah. 
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Anti Nyangkut – An Indicator by the People, for the People
This one's for you if you always buy the top, sell the bottom, and end up becoming someone else's backtest data.
💡 Buy-Only Signals — triggered when price is:
✅ Above MA5
✅ Above Bollinger Bands Upper
✅ Above VWAP (on 1H & 4H only)
🟢 Auto TP & SL lines — so you stop saying "I'll hold until it turns green"
📊 Perfect for scalping & swing trades on 1H / 4H / 1D
There’s no sell signal. Exits are your responsibility — just don’t skip the stop loss.
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100% free. Just pay with good karma.
Price Volume Trend [sgbpulse]1. Introduction: What is Price Volume Trend (PVT)? 
The Price Volume Trend (PVT) indicator is a powerful technical analysis tool designed to measure buying and selling pressure in the market based on price changes relative to trading volume. Unlike other indicators that focus solely on volume or price, PVT combines both components to provide a more comprehensive picture of trend strength.
 How is it Calculated? 
The PVT is calculated by adding or subtracting a proportional part of the daily volume from a cumulative total.
When the closing price rises, a proportional part of the daily volume (based on the percentage price change) is added to the previous PVT value.
When the closing price falls, a proportional part of the daily volume is subtracted from the previous PVT value.
If there is no change in price, the PVT value remains unchanged.
The result of this calculation is a cumulative line that rises when buying pressure is strong and falls when selling pressure dominates.
 2. Why PVT? Comparison to Similar Indicators 
While other indicators measure volume-price pressure, PVT offers a unique advantage:
 PVT vs. On-Balance Volume (OBV): 
 
 OBV simply adds or subtracts the entire day's volume based on the closing direction (up/down), regardless of the magnitude of the price change. This means a 0.1% price change is treated the same as a 10% change.
 PVT, on the other hand, gives proportional weight to volume based on the percentage price change. A trading day with a large price increase and high volume will impact the PVT significantly more than a small price increase with the same volume. This makes PVT more sensitive to trend strength and changes within it.
 
 PVT vs. Accumulation/Distribution Line (A/D Line): 
 
 The A/D Line focuses on the relationship between the closing price and the bar's trading range (Close Location Value) and multiplies it by volume. It indicates whether the pressure is buying or selling within a single bar.
 PVT focuses on the change between closing prices of consecutive bars, multiplying this by volume. It better reflects the flow of money into or out of an asset over time.
 
By combining volume with percentage price change, PVT provides deeper insights into trend confirmation, identifying divergences between price and volume, and spotting signs of weakness or strength in the current trend.
 3. Indicator Settings (Inputs) 
The "Price Volume Trend  " indicator offers great flexibility for customization to your specific needs through the following settings:
 
 Moving Average Type:  Allows you to select the type of moving average used for the central line on the PVT. Your choice here will affect the line's responsiveness to PVT movements.
 - "None" : No moving average will be displayed on the PVT.
 - "SMA" (Simple Moving Average):  A simple average, smoother, ideal for identifying longer-term trends in PVT.
 - "SMA + Bollinger Bands":  This unique option not only displays a Simple Moving Average but also activates the Bollinger Bands around the PVT. This is the recommended option for analyzing volatility and ranges using Bollinger Bands.
 - "EMA" (Exponential Moving Average):  An exponential average, giving more weight to recent data, responding faster to changes in PVT.
 - "SMMA (RMA)" (Smoothed Moving Average):  A smoothed average, providing extra smoothing, less sensitive to noise.
 - "WMA" (Weighted Moving Average):  A weighted average, giving progressively more weight to recent data, responding very quickly to changes in PVT.
 Moving Average Length:  Defines the number of bars used to calculate the moving average (and, if applicable, the standard deviation for the Bollinger Bands). A lower value will make the line more responsive, while a higher value will smooth it out.
 PVT BB StdDev (Bollinger Bands Standard Deviation):  Determines the width of the Bollinger Bands. A higher value will result in wider bands, making it less likely for the PVT to cross them. The standard value is 2.0.
 
 4. Visual Aid: Current PVT Level Line 
This indicator includes a unique and highly useful visual feature: a dynamic horizontal line displayed on the PVT graph.
 
 Purpose:  This line marks the exact level of the PVT on the most recent trading bar. It extends across the entire chart, allowing for a quick and intuitive comparison of the current level to past levels.
 Why is it Important? 
 - Identifying Divergences:  Often, an asset's price may be lower or higher than past levels, but the PVT level might be different. This auxiliary line makes it easy to spot situations where PVT is at a higher level when the price is lower, or vice-versa, which can signal potential trend changes (e.g., higher PVT than in the past while price is low could indicate strong accumulation).
 - Quick Direction Indication:  The line's color changes dynamically: it will be green if the PVT value on the last bar has increased (or remained the same) relative to the previous bar (indicating positive buying pressure), and red if the PVT value has decreased relative to the previous bar (indicating selling pressure). This provides an immediate visual cue about the direction of the cumulative momentum.
 
 5. Important Note: Trading Risk 
This indicator is intended for educational and informational purposes only and does not constitute investment advice or a recommendation for trading in any form whatsoever.
Trading in financial markets involves significant risk of capital loss. It is important to remember that past performance is not indicative of future results. All trading decisions are your sole responsibility. Never trade with money you cannot afford to lose.
AMV Impulse AssistantThe AMV Impulse Assistant is a custom momentum tool designed to assess how aggressively price is moving relative to recent volatility. It combines Bollinger-based range analysis and fast-moving average behavior to generate a dynamic impulse score. This score helps identify when price action is potentially overextended or showing signs of unusual momentum — useful for pullback traders, breakout traders, and anyone managing entries during trending conditions.
 What it does: 
 
  Tracks the relationship between a short WMA and Bollinger basis to gauge directional strength.
  Measures price movement compression/expansion with a normalized Bollinger Width Percentile.
  Combines both into a smoothed Impulse Score (from -10 to +10) that reflects how aggressively price is pushing in either direction.
  Colors the score line and highlights background zones when momentum enters extreme ranges.
 
📈 Use case:
This tool is especially effective for day traders who need to quickly identify when price is moving abnormally fast — either as an exhaustion signal or confirmation of an aggressive continuation. It can be used to:
 
 Confirm the end of a pullback.
 Spot overly aggressive moves that may revert.
 Avoid entries during neutral chop or volatility compression.
 
It is best used alongside your primary trend filters and execution tools as a supplementary confirmation.
[Mad]Triple Bollinger Bands ForecastTriple Bollinger Bands Forecast (BBx3+F) 
This open-source indicator is an advanced version of the classic Bollinger Bands, designed to provide a more comprehensive and forward-looking view of market volatility and potential price levels. 
It plots three distinct sets of Bollinger Bands and projects them into the future based on statistical calculations.
 How It Is Built and Key Features 
 
 Triple Bollinger Bands:  Instead of a single set of bands, this indicator plots three. All three share the same central basis line (a Simple Moving Average), but each has a different standard deviation multiplier. This creates three distinct volatility zones for analyzing price deviation from its mean.
 Multi-Timeframe (MTF) Capability:  The indicator can calculate and display Bollinger Bands from a higher timeframe (e.g., showing daily bands on a 4-hour chart). This allows for contextualizing price action within the volatility structure of a more significant trend.
(Lower HTF selection will result in script-crash!)
 Future Forecasting:  This is the indicator's main feature. It projects the calculated Bollinger Bands up to 8 bars into the future. This forecast is a recalculation of the Simple Moving Average and Standard Deviation based on a projected future source price.
 Selectable Forecast Methods:  The mathematical model for estimating the future source price can be selected:
 
 Flat:  A model that uses the most recent closing price as the price for all future bars in the calculation window.
 Linreg (Linear Regression):  A model that calculates a linear regression trend on the last few bars and projects it forward to estimate the future source price.
 
 Efficient Drawing with Polylines:  The future projections are drawn on the chart using Pine Script's polyline object. This is an efficient method that draws the forecast data only on the last bar, which avoids repainting issues.
 
 Differences from a Classical Bollinger Bands Indicator 
 
 Band Count:  A classical indicator shows one set of bands. This indicator plots  three sets  for a multi-layered view of volatility.
 Perspective:  Classical Bollinger Bands are purely historical. This indicator is both historical and  forward-looking .
 Forecasting:  The classic version has no forecasting capability. This indicator  projects the bands into the future .
 Timeframe:  The classic version works only on the current timeframe. This indicator has full  Multi-Timeframe (MTF) support .
 
 The Mathematics Behind the Future Predictions 
The core challenge in forecasting Bollinger Bands is that a future band value depends on future prices, which are unknown. This indicator solves this by simulating a future price series. Here is the step-by-step logic:
 
 Forecast the Source Price for the Next Bar 
First, the indicator estimates what the price will be on the next bar.
 
 Flat Method:  The forecasted price is the current bar's closing price.
 Price_forecast = close 
 Linreg Method:  A linear regression is calculated on the last few bars and extrapolated one step forward.
 Price_forecast = ta.linreg(close, linreglen, 1) 
 
 Calculate the Future SMA (Basis) 
To calculate the Simple Moving Average for the next bar, a new data window is simulated. This window includes the new forecasted price and drops the oldest historical price. For a 1-bar forecast, the calculation is:
 SMA_future = (Price_forecast + close  + close  + ... + close ) / length 
 Calculate the Future Standard Deviation 
Similarly, the standard deviation for the next bar is calculated over this same simulated window of prices, using the new  SMA_future  as its mean.
 
// 1. Calculate the sum of squared differences from the new mean
d_f = Price_forecast - SMA_future
d_0 = close  - SMA_future
// ... and so on for the rest of the window's prices
SumOfSquares = (d_f)^2 + (d_0)^2 + ... + (d_length-2)^2
// 2. Calculate future variance and then the standard deviation
Var_future = SumOfSquares / length
StDev_future = sqrt(Var_future)
 
 Extending the Forecast (2 to 8 Bars) 
For forecasts further into the future (e.g., 2 bars), the script uses the same single  Price_forecast  for all future steps in the calculation. For a 2-bar forecast, the simulated window effectively contains the forecasted price twice, while dropping the two oldest historical prices. This provides a statistically-grounded projection of where the Bollinger Bands are likely to form.
 
 Usage as a Forecast Extension 
This indicator's functionality is designed to be modular. It can be used in conjunction with as example  Mad Triple Bollinger Bands MTF  script to separate the rendering of historical data from the forward-looking forecast.
 Configuration for Combined Use: 
 
 Add both the Mad Triple Bollinger Bands MTF and this Triple Bollinger Bands Forecast indicator to your chart.
 Open the Settings for this indicator (BBx3+F).
 In the 'General Settings' tab, disable the  Activate Plotting  option.
 To ensure data consistency, the Bollinger Length, Multipliers, and Higher Timeframe settings should be identical across both indicators.
 
This configuration prevents the rendering of duplicate historical bands. The Mad Triple Bollinger Bands MTF script will be responsible for visualizing the historical and current bands, while this script will overlay only the forward-projected polyline data.
Bollinger Bands - Multi Symbol Alert (Miu)This script extends the classic Bollinger Bands indicator with support for up to 8 user-defined symbols and a unique alert system.
Unlike traditional Bollinger Band indicators, it allows traders to configure alerts across multiple assets without keeping the indicator visible on the chart, making it ideal for passive multi-asset monitoring.
 What it does: 
This script calculates Bollinger Bands using a 100-period simple moving average and a standard deviation multiplier of 3 (or any input you set in the settings panel).
For each selected symbol, the upper and lower bands are retrieved using request.security() and monitored for breakouts.
Alerts are triggered when the closing price of the selected symbol breaks above the upper band (Overbought) or below the lower band (Oversold) — at the bar close.
 How to use it: 
1) Add the indicator to your chart.
2) Open the settings panel.
3) Select up to 8 symbols to monitor.
4) After setting parameters, click the three dots next to the indicator title and choose "Add Alert on...".
5) Name your alert and confirm.
6) If you don’t wish to keep the indicator visible, you can remove it from the chart — alerts will still function as expected.
 Alert message includes: 
- Symbol name (e.g., BTC, ETH, LTC)
- (OB) for overbought or (OS) for oversold
- Symbol’s price at the alert moment
 Technical note: 
This script uses request.security() to fetch Bollinger Band levels and closing prices from up to 8 selected symbols in real time.
Feel free to leave your feedback or suggestions in the comments section below.
Enjoy!
WMB Oscillator | [DeV]The  "WMB Oscillator"  indicator is a multi-factor momentum and volatility indicator designed to give traders a dynamic edge in identifying trend strength, market pressure, and potential turning points. By combining three powerful tools—Williams %R, Money Flow Index, and Bollinger Band Width—this oscillator presents a single histogram that visually represents the interplay between overbought/oversold levels, volume-weighted pressure, and volatility expansion. Use it to anticipate trend shifts, confirm entries, or avoid traps in ranging markets.
 Williams %R: 
Williams %R measures the closing price's position relative to the recent high-low range over a defined period. It outputs a value between 0 and -100, where values closer to -100 suggest oversold conditions, and those near 0 indicate overbought. In this oscillator, the raw %R is normalized between your defined overbought and oversold thresholds, allowing it to integrate seamlessly into the combined signal without distortion from price scale differences.
 Money Flow Index (MFI): 
The MFI gauges buying and selling pressure using both price and volume. It calculates the typical price for each bar, multiplies it by volume, and compares positive versus negative money flows over time. Normalized between your custom thresholds, the MFI component helps highlight when a move is driven by real conviction (volume) rather than weak price fluctuation, enhancing the signal’s reliability.
 Bollinger Band Width (BB Width): 
BB Width quantifies volatility by measuring the percentage difference between the upper and lower Bollinger Bands relative to their moving average. When volatility contracts, BB Width narrows—often preceding explosive moves. When it expands, volatility is peaking. Here, the raw BB Width is detrended using its moving average and scaled with a user-defined multiplier to reflect its deviation strength.
 Why Combine These: 
Each of these three metrics captures a unique dimension of market behavior: %R tracks momentum in price extremes, MFI confirms the move’s strength through volume, and BB Width anticipates volatility surges. Combined, they form a balanced oscillator that reacts fluidly to market changes while filtering out noise. The result is a nuanced, multi-angle view of the market's internal dynamics, enabling smarter, more confident trading decisions.
Atlas BBTlevelsAtlas BBTlevels is a custom Bollinger Bands-based indicator that measures the momentum and strength of price trends using the difference between short- and long-period Bollinger Bands. Inspired by John Bollinger’s official tools like BBTrend, %b, and Bandwidth, this script adds adjustable horizontal threshold levels so traders can mark important reaction zones on their charts.
It visualizes when markets may be entering overheated or exhausted conditions — either for trend continuation or potential reversals — and works across crypto, stocks, forex, spot, or perpetual charts.
How I personally use it:
I apply Atlas BBTlevels across three timeframes:
Low timeframe (LTF): 5m–15m
Mid timeframe (MTF): 1h–6h
High timeframe (HTF): 1d–2d
I review where the indicator historically spiked during major moves. For example, if the 4-hour chart shows repeated spikes to +10 or −10, I’ll set my positive and negative thresholds near those levels. This lets me anticipate zones where the market may reverse, cool off, or break out. I then compare LTF, MTF, and HTF levels to look for confluence. When multiple timeframes align near key levels, it gives me higher confidence to prepare for a trade — but I always combine this with price action and other confirmation tools.
How others can use it:
Identify overbought/oversold zones by adjusting the thresholds to match historical extremes on your chosen asset.
Use it as a trend strength gauge: when the histogram is near or above the top threshold, the trend is likely strong; when it fades back toward zero, momentum is weakening.
Watch for volatility expansions or contractions as the indicator accelerates away from or returns toward zero.
Combine it with price action (support/resistance, trendlines, chart patterns) or other momentum tools to reduce false signals.
Apply it across multiple timeframes to look for confluence — this increases reliability compared to using it on just one chart.
Important tips:
Positive spikes (above zero) usually indicate strength or overextension upward; negative spikes (below zero) show weakness or downward exhaustion.
You can reverse the color logic if you want (for example, highlight negative spikes as green for buy interest and positive spikes as red for sell interest) — this is just a visual preference.
This is not a standalone buy/sell system. Always combine it with other tools, market context, and risk management.
Smart Mean Reversion DashboardThis indicator is designed to help traders identify potential mean reversion opportunities using a combination of Bollinger Bands, RSI, and deviation from the moving average. It provides a clean, visually appealing dashboard that displays key metrics and signals in real-time.
 How to Read and Use: 
 Deviation from Mean: 
 
Displays the percentage deviation of the current price from the moving average.
A high positive or negative deviation may indicate overextension and a potential mean reversion opportunity.
 Bollinger Band Status: 
 Indicates whether the price is inside or outside the Bollinger Bands.
 "Outside Upper" suggests overbought conditions, while "Outside Lower" suggests oversold conditions.
 RSI Status: 
Shows whether the RSI is in overbought (>70), oversold (<30), or neutral conditions.
Overbought and oversold levels can confirm potential reversal zones.
 Signal: 
BUY: Triggered when the price is outside the lower Bollinger Band and RSI is in the oversold zone.
SELL: Triggered when the price is outside the upper Bollinger Band and RSI is in the overbought zone.
WAIT: No clear signal; wait for better conditions.
 Important Notes: 
 This is NOT a buy or sell recommendation. This indicator is a tool to assist in identifying potential trading opportunities. Always use it in conjunction with your own analysis and risk management.
The signals generated by this indicator are based on historical data and do not guarantee future performance.
It is recommended to use this indicator alongside other technical analysis tools and confirm signals with price action or other strategies.
 Features: 
 Dashboard:  Displays deviation, Bollinger Band status, RSI status, and signals in a clean, movable interface.
 Customizable Settings:  Adjust Bollinger Band length, RSI length, and moving average length to suit your trading style.
 Visual Enhancements:  Color-coded signals and metrics for easy interpretation in both light and dark modes.
 Disclaimer: 
Trading involves significant risk, and past performance is not indicative of future results. This indicator is for educational purposes only and should not be considered financial advice. Always consult with a financial advisor before making trading decisions.
GTC Deviation Rainbow🚀 Introducing the GTC Deviation Rainbow: Your Ultimate Market Precision Tool
The GTC Deviation Rainbow is a powerful, all-in-one tool designed to pinpoint market extremes, detect mean reversion opportunities, and clarify trends with stunning accuracy. By visualizing multiple deviation bands, it reveals overbought and oversold conditions across all timeframes, giving you the insight you need to make confident, high-probability trades. The GTC Deviation Rainbow combines volatility analysis, mean reversion detection, and market trend clarity—all in one cutting-edge package.
🌈 What Makes the GTC Deviation Rainbow Revolutionary:
Unlike any other indicator available on the market, the GTC Deviation Rainbow offers a groundbreaking approach to market analysis. While most indicators focus on single metrics or basic oscillations, this tool visualizes layered deviation bands that provide a comprehensive view of market conditions. Its ability to simultaneously identify overbought and oversold states across multiple timeframes makes it an unparalleled resource for precision trading.
💡 Why This Indicator Stands Out:
The GTC Deviation Rainbow isn't just a tool—it's a strategy enhancer. Its unique ability to detect both micro and macro deviations offers powerful insights for scalpers, swing traders, and long-term investors alike. When the bands stretch too far from the mean, you know it's time to pay attention.
📈 Why You Need This Indicator:
✅ Comprehensive Market Analysis: Instantly identify when prices have deviated too far from their historical norms, signaling prime entry and exit points.
✅ Versatile Usage: Whether you’re looking for intraday reversals, swing trades, or long-term setups, the GTC Deviation Rainbow adapts to your trading style.
✅ Works Across Markets: From crypto and stocks to forex and commodities, this tool delivers clarity and precision everywhere.
✅ Visual Simplicity: Color-coded deviation bands eliminate guesswork, giving you straightforward, actionable insights.
🔥 How To Use It Effectively:
Spot Deviation Extremes: Watch for price interactions with outer deviation bands to find high-probability reversal zones.
Confirm Trends: Use the indicator to assess whether a price movement is a genuine trend or a temporary spike.
Align With Your Strategy: Combine the GTC Deviation Rainbow with your preferred methods to amplify your trading edge.
📌 Elevate Your Trading Game.
The GTC Deviation Rainbow Indicator isn't just another indicator—it's a powerful ally designed to keep you ahead of the market. Whether you’re hunting for short-term reversals or planning long-term moves, this tool will sharpen your edge like never before.
⚠️ Disclaimer:
The GTC Deviation Rainbow is a powerful tool designed to enhance your market analysis by providing unique insights. However, it is not a replacement for comprehensive market analysis or prudent risk management. Always combine our tools with thorough research, technical analysis, and a well-structured trading plan. Past performance is not indicative of future results. Trade responsibly.






















