4H & 1D Sig_chartbugRohmoohyun is alive
Auxiliary Indicator for Buy/Sell Signals Using Bollinger Bands and Moving Averages.
Recommended for NASDAQ, Gold, Oil, BTC, Stocks on 4-hour or higher timeframes.
For Ethereum, Ripple, and other volatile altcoins, it is advisable to also check the daily chart.
Indicator Idea: This strategy utilizes two types of indicators: Bollinger Bands as a volatility (or momentum) indicator, and Moving Averages as a trend indicator. A triangle signal is generated in zones where the Bollinger Bands converge (squeeze). After a candle closes, a Rocket icon will appear, at which point a trading strategy can be devised based on the prevailing trend indicated by the Moving Averages.
Indicator Feature: When used on timeframes of 4 hours or higher, this indicator is extremely powerful for establishing trading criteria, especially when combined with trend analysis and support/resistance zones.
Basic Trading Method: Enter a position at the Rocket icon + Immediately set a stop-loss (e.g., at the previous low/high, a maximum loss threshold like 2% of capital, or at a level planned for a second entry to average down) + Take partial profit (e.g., 50%) at your desired TP level, then move the stop-loss to your entry price (break-even) and hold the remainder of the position.
Recommended Timeframes: 5-minute, 4-hour, 1-day.
Trading Strategy
Pullback Trading / Trend Reversal Trading.
Instrument Selection (Commodities & Indices, Crypto, NASDAQ-listed Stocks).
Understand Instrument Characteristics (The three categories behave differently, so backtesting before use is essential).
a) Bullish Alignment (Price > 20MA > 200MA)
: Focus primarily on long (buy) positions.
: If attempting a counter-trend (short) trade, do so only with multiple confirmations, such as RSI/Disparity divergence and a major resistance zone. Use a tight stop-loss.
b) Bearish Alignment (Price < 20MA < 200MA)
: The opposite of the above; focus on short (sell) positions.
c) During a Bullish Trend, Price is Between MAs (200MA < Price < 20MA)
: This indicates either a consolidation phase within an uptrend or a potential early sign of a reversal to a downtrend. Consider both possibilities.
: A possible approach is to allocate capital with a 60% bias to long positions and a 40% bias to short positions (unlike in full bullish/bearish alignments where counter-trend trading has a poor risk/reward ratio).
: If it turns out to be a reversal point, you can enter a position at the very beginning of a new trend, allowing for a longer ride.
: It's recommended to take partial profits rather than closing the entire position. For instance, close half and move the stop-loss to your entry price to eliminate risk while keeping profit potential open.
d) During a Bearish Trend, Price is Between MAs (200MA > Price > 20MA)
: The opposite of the above.
Instrument-Specific Characteristics
Commodities & Indices (NASDAQ, Oil, Gold)
: The indicator was primarily developed and tested on NASDAQ and Gold, so it tends to work well with them.
: However, NASDAQ often exhibits strong, one-way trends, so a trend-following approach is highly recommended.
: Gold and Oil tend to have significant reversals from key support/resistance zones.
Crypto
: These assets are extremely volatile, so use this indicator with caution and skill.
: It performs reasonably well with BTC. For anything from Ethereum downwards, the price action can be chaotic, so it's crucial to use the daily chart and other confirming factors.
: Instead of frequent day trading, focus on long-term positions, reduce the number of trades, and aim for entries with a good average price.
NASDAQ-listed Stocks
: Recommended for a long-term, accumulation-style investment approach.
: Use the indicator not as a signal that "it will pump immediately!" but rather as a sign that "this is a decent entry point to build a position."
: Alternatively, it can be used for more active swing trading (buy, sell, repeat).
Important Disclaimers
This is an auxiliary indicator, as the name implies. Do not trust it blindly.
When entering a position, immediately set your stop-loss or have a plan for a single additional entry (max one recommended).
Always use it in conjunction with other forms of analysis.
Track your performance (win rate, risk/reward ratio) based on this strategy.
Continuously refine and improve your approach.
Cerca negli script per "bollingerband"
Universal Valuation | QuantMAC🎯 Universal Valuation | QuantMAC
🚀 Professional-Grade Valuation Engine with 14+ Technical Components
The Universal Valuation indicator is a sophisticated composite analysis tool that combines multiple technical indicators, statistical measures, and risk ratios to provide a comprehensive assessment of asset valuation across all market conditions and timeframes.
📊 Core Architecture & Methodology
🔬 Z-Score Normalization System
Each component is normalized using statistical Z-scores, which measure how many standard deviations a value is from its historical mean. This standardization allows different indicators to be combined meaningfully:
Positive Z-scores indicate values above historical average (potentially overvalued)
Negative Z-scores indicate values below historical average (potentially undervalued)
Individual lookback periods for each component ensure optimal sensitivity
Real-time statistical calculations with dynamic standard deviation adjustments
📈 Composite Scoring Algorithm
The final valuation score is calculated as the weighted average of all enabled components, providing a unified view of market conditions while maintaining granular control over individual inputs.
🛠️ Technical Components Breakdown
📊 Momentum & Oscillator Components
🎯 RSI (Relative Strength Index)
Function: Measures price momentum and overbought/oversold conditions
Default Settings: 21-period RSI with 150-period Z-score normalization
Analysis: Values above 70 (traditional) become positive Z-scores, indicating potential overvaluation
Edge: Z-score normalization adapts to changing market volatility unlike fixed thresholds
🌊 CCI (Commodity Channel Index)
Function: Identifies cyclical price patterns and extreme price levels
Default Settings: 30-period CCI with 150-period Z-score normalization
Analysis: Measures price deviation from statistical mean using typical price (HLC/3)
Edge: Excellent for identifying price extremes in trending and ranging markets
🔵 Chande Momentum Oscillator
Function: Advanced momentum indicator using sum of gains vs. sum of losses
Default Settings: 50-period calculation with 50-period Z-score normalization
Analysis: Formula: 100 * (Sum_Gains - Sum_Losses) / (Sum_Gains + Sum_Losses)
Edge: Less prone to whipsaws compared to RSI, better momentum persistence detection
🎭 IMI (Intraday Momentum Index)
Function: Combines RSI concept with intraday price action analysis
Default Settings: 100-period calculation with 150-period Z-score normalization
Analysis: Uses gains/losses based on close vs. open rather than close-to-close
Edge: Captures intraday sentiment and gap behavior effectively
📈 Price Action & Trend Components
📊 Bollinger Bands Position
Function: Measures price position relative to volatility-adjusted bands
Default Settings: 30-period bands with 50-period Z-score normalization
Analysis: (Price - SMA) / (2 * Standard_Deviation) normalized to Z-score
Edge: Adapts to volatility changes, providing context-aware overbought/oversold levels
💹 Price Z-Score
Function: Direct statistical analysis of price deviation from historical mean
Default Settings: 150-period lookback for Z-score calculation
Analysis: Pure price momentum without indicator lag or smoothing
Edge: Unfiltered price analysis, excellent for mean reversion strategies
📊 Disparity Index
Function: Measures percentage deviation of price from its moving average
Default Settings: 10-period SMA with 150-period Z-score normalization
Analysis: 100 * (Price - SMA) / SMA, then normalized to Z-score
Edge: Highly sensitive to short-term price deviations, excellent for timing entries
🎯 TEMA (Triple Exponential Moving Average)
Function: Advanced moving average with reduced lag and improved responsiveness
Default Settings: 10-period TEMA with 150-period Z-score normalization
Analysis: Triple-smoothed EMA that maintains trend-following capability with less noise
Edge: Superior trend identification with minimal lag compared to traditional MAs
📊 Volume & Market Structure Components
📈 VWAP (Volume Weighted Average Price)
Function: Incorporates volume into price analysis for institutional perspective
Default Settings: Standard VWAP with 300-period Z-score normalization
Analysis: Compares current price to volume-weighted institutional benchmark
Edge: Reveals institutional sentiment and identifies fair value zones
⚡ Intraday Momentum
Function: Measures session-based momentum using open-to-close movement
Default Settings: (Close - Open) / Open * 100 with 250-period Z-score normalization
Analysis: Captures daily sentiment and gap behavior in percentage terms
Edge: Excellent for intraday trading and gap analysis strategies
🎲 Advanced Statistical Components
🌊 Hurst Exponent (Optional)
Function: Measures market efficiency and trend persistence characteristics
Default Settings: 100-period calculation with 200-period Z-score normalization
Analysis: Values > 0.5 indicate trending markets, < 0.5 indicate mean-reverting markets
Edge: Identifies market regime changes and optimal strategy selection
Note: Computationally intensive, disabled by default for performance
📊 Risk-Adjusted Performance Ratios
⚡ Sharpe Ratio
Function: Risk-adjusted return measurement using total volatility
Default Settings: 400-period calculation with 120-period Z-score normalization
Analysis: (Return - Risk_Free_Rate) / Standard_Deviation of returns
Edge: Identifies periods of superior risk-adjusted performance
🎯 Sortino Ratio
Function: Risk-adjusted return using only downside deviation (superior to Sharpe)
Default Settings: 400-period calculation with 120-period Z-score normalization
Analysis: (Return - Risk_Free_Rate) / Downside_Deviation
Edge: More accurate risk assessment as it ignores upside volatility
🌟 Omega Ratio
Function: Advanced risk measure comparing gains above threshold to losses below
Default Settings: 400-period calculation with 200-period Z-score normalization
Analysis: Sum_of_Gains_Above_Threshold / Sum_of_Losses_Below_Threshold
Edge: Captures full return distribution, not just mean and variance
🎨 Visualization & Interface
🌈 Dual Color Schemes
Bright Mode: Vibrant colors for clear daylight visibility
Dark Mode: Muted tones for low-light trading environments
Adaptive Gradients: Color intensity scales with Z-score magnitude
Background Highlighting: Optional panel and chart background coloring for extreme conditions
📊 Comprehensive Data Table
Real-time Z-scores for each enabled component
Composite score with gradient coloring
Valuation phase classification (6 distinct levels)
Toggle individual components on/off for custom analysis
🎯 Valuation Phase Classifications
📈 Systematic Valuation Levels
Extremely Undervalued: Z-score ≤ -2.0 (Exceptional buying opportunity)
Strongly Undervalued: Z-score ≤ -1.3 (Strong buying signal)
Moderately Undervalued: Z-score < -0.65 (Potential buying opportunity)
Fairly Valued: Z-score -0.65 to 0.5 (Neutral zone)
Slightly Overvalued: Z-score 0.5 to 1.2 (Caution zone)
Moderately Overvalued: Z-score 1.2 to 2.0 (Potential selling zone)
Strongly Overvalued: Z-score ≥ 2.0 (Strong selling signal)
🌍 Universal Asset Compatibility
✅ Equity Markets - Individual stocks, ETFs, indices, sector rotation analysis
✅ Cryptocurrency - Bitcoin, altcoins, DeFi tokens, NFT projects
8H
12H
4H
🚀 Key Strategic Advantages
🔬 Scientific Approach
Unlike traditional indicators that use fixed thresholds, the Universal Valuation employs dynamic statistical normalization that adapts to changing market conditions and volatility regimes.
⚡ Multi-Dimensional Analysis
Combines momentum, trend, volume, and risk-adjusted metrics to provide a 360-degree view of market valuation, reducing false signals and improving decision accuracy.
🎯 Customizable Framework
Enable or disable individual components to create custom valuation models tailored to specific assets, strategies, or market conditions.
📊 Institutional-Grade Metrics
Incorporates sophisticated risk ratios (Sharpe, Sortino, Omega) typically used by hedge funds and institutional investors.
💡 Professional Trading Applications
🎯 Mean Reversion Strategies
Identify extreme valuation levels for contrarian entries
Use composite Z-score thresholds for systematic signal generation
Combine with volume analysis for confirmation
📈 Trend Following Enhancement
Avoid trend entries during overvalued conditions
Use undervalued readings to add to existing positions
Time trend continuation trades with valuation support
🔄 Portfolio Management
Asset allocation based on relative valuation scores
Risk management using integrated Sharpe/Sortino ratios
Sector rotation timing using cross-asset comparison
⚡High-Frequency Applications
Intraday momentum component for scalping strategies
VWAP analysis for institutional order flow
Real-time composite scoring for algorithmic systems
🛠️ Configuration Best Practices
📊 Conservative Setup (Long-term)
Enable all components except Hurst Exponent
Use longer Z-score periods (200+) for stability
Focus on -1.3/+2.0 thresholds for major signals
⚡ Aggressive Setup (Short-term)
Emphasize momentum components (RSI, CCI, Chande)
Shorter Z-score periods (50-100) for responsiveness
Use -0.65/+1.2 thresholds for frequent signals
🎯 Risk-Focused Setup
Prioritize Sharpe, Sortino, and Omega ratios
Enable VWAP and price components
Use conservative thresholds with position sizing guidance
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🏆 Professional Multi-Asset Valuation System
The Universal Valuation indicator represents a quantum leap in technical analysis sophistication, combining academic rigor with practical trading applications. By normalizing diverse technical components through statistical Z-scores, it provides objective, data-driven valuation assessments that adapt to any market condition.
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📝 Disclaimer: This indicator is for educational and informational purposes only. The statistical models and risk ratios do not guarantee future performance. Always conduct thorough analysis and implement proper risk management practices.
Bollinger Bands Oscillator | QuantMAC📊 Bollinger Bands Oscillator | QuantMAC
🎯 Overview
The Bollinger Bands Oscillator is a sophisticated technical analysis tool that combines the power of traditional Bollinger Bands with an oscillator-based approach for enhanced signal generation. This indicator transforms the classic Bollinger Bands into a percentage-based oscillator, providing clearer entry and exit signals for both trending and ranging markets.
🔧 Key Features
Dual Trading Modes : Choose between Long/Short or Long/Cash strategies
Advanced BB% Calculation : Enhanced Bollinger Band percentage with customizable multipliers
Comprehensive Metrics : Built-in performance analytics including Sharpe Ratio, Sortino Ratio, and Profit Factor
Visual Color Coding : Dynamic bar coloring and 9 different color schemes for optimal chart visibility
Date Range Filtering : Backtest specific time periods with customizable start dates
Real-time Signal Generation : Clear long and short entry signals with threshold customization
Advanced Risk Management : Half Kelly criterion calculation for optimal position sizing
📈 How It Works
The indicator operates by calculating a modified Bollinger Band percentage that oscillates between values, typically ranging from 0 to 100+. When the BB% crosses above the Long Threshold (default: 83), it generates a bullish signal. Conversely, when it crosses below the Short Threshold (default: 55), it produces a bearish signal.
Core Calculation Process:
Calculate the moving average basis using the specified Base Length (default: 40 periods)
Determine standard deviation using a separate SD Length (default: 27 periods)
Create upper and lower bands using the SD Multiplier (default: 2.6)
Convert to percentage oscillator with BB% Multiplier (default: 100)
Generate signals based on threshold crossovers
⚙️ Customizable Parameters
BMD Settings:
Base Length : Controls the moving average period (default: 40)
Standard Deviation Length : Determines volatility calculation period (default: 27)
SD Multiplier : Adjusts band width sensitivity (default: 2.6)
BB% Multiplier : Scales the oscillator values (default: 100)
Source : Choose price source (close, open, high, low, etc.)
Signal Thresholds:
Long Threshold : Entry level for bullish positions (default: 83)
Short Threshold : Entry level for bearish positions (default: 55)
🎨 Visual Elements
Main Chart Overlay:
Bollinger Bands : Upper and lower bands with customizable colors and transparency
Middle Line : Basis line displayed as subtle dots
Band Fill : Colored area between bands for easy visualization
Bar Coloring : Candles change color based on current signal state
Separate Oscillator Pane:
BB% Line : Main oscillator line with dynamic coloring
Threshold Lines : Horizontal lines marking entry/exit levels
Color Coding : Line colors change based on bullish/bearish state
📊 Performance Metrics
The indicator includes a comprehensive metrics table displaying:
Net Profit % : Total return percentage
Max Drawdown % : Maximum peak-to-trough decline
Win Rate % : Percentage of profitable trades
Profit Factor : Ratio of gross profit to gross loss
Sharpe Ratio : Risk-adjusted return measure
Sortino Ratio : Downside risk-adjusted return
Omega Ratio : Probability-weighted ratio of gains vs losses
Half Kelly % : Optimal position sizing recommendation
Total Trades : Number of completed transactions
🎯 Trading Strategies
Long/Short Mode: 🔄
The indicator alternates between long and short positions based on threshold crossovers. This mode is ideal for traders who can profit from both rising and falling markets.
Long/Cash Mode: 💰
This conservative approach only takes long positions, moving to cash during bearish signals. Perfect for traders in accounts that don't allow short selling or those preferring a buy-and-hold approach with strategic exits.
🚀 Getting Started
Add the indicator to your chart
Choose your preferred Trading Mode (Long/Short or Long/Cash)
Adjust the Base Length and SD Length to match your trading timeframe
Fine-tune the Long Threshold and Short Threshold based on your risk tolerance
Select your preferred color scheme from 9 available options
Enable the metrics table to monitor performance in real-time
💡 Pro Tips
Lower thresholds (e.g., Long: 75, Short: 60) generate more frequent but potentially less reliable signals
Higher thresholds (e.g., Long: 90, Short: 45) produce fewer but potentially higher-quality signals
Shorter base lengths make the indicator more responsive to recent price action
Longer base lengths smooth out noise but may lag market turns
Use the Half Kelly % metric to guide position sizing decisions
⚠️ Important Disclaimers
Past performance is not indicative of future results . This indicator is a technical analysis tool designed to assist in trading decisions but should not be used as the sole basis for investment choices.
Key Risk Considerations:
Market Conditions : No indicator works perfectly in all market environments
Backtesting Bias : Historical performance may not reflect future market behavior
Risk Management : Always use proper position sizing and stop-loss orders
Multiple Confirmations : Consider using additional indicators and analysis methods
📚 Educational Value
This indicator serves as an excellent learning tool for understanding:
Bollinger Band mechanics and interpretation
Oscillator-based trading strategies
Performance metrics and risk assessment
Position sizing using Kelly Criterion principles
The relationship between volatility and price movement
🔔 Updates and Support
The Bollinger Bands Oscillator | QuantMAC is regularly updated to ensure compatibility with TradingView's latest features. The code is thoroughly commented for educational purposes and transparency.
Remember: Trading involves substantial risk of loss and is not suitable for all investors. The value of investments may go down as well as up, and you may not get back the amount you invested. Always conduct your own research and consider seeking advice from a qualified financial advisor.
Mitsos4 RSI + BB + Dispersion + Trendlines + VIX Fix Mitsos4 RSI + BB + Dispersion + Trendlines + VIX Fix
This powerful custom indicator combines two analytical tools into one view:
RSI-based Bollinger Bands with Dispersion and the Vix Fix volatility spike detector.
It is designed for traders who want early volatility signals and precision RSI insights, all in a single pane.
🧩 What's Included:
✅ 1. RSI + BB (EMA) + Dispersion
RSI-Based Bollinger Bands: Tracks the RSI with Bollinger Bands using an EMA as the basis.
Dispersion Zone: A buffer zone around the moving average band for more sensitive overbought/oversold detection.
Dynamic RSI Coloring:
🟢 Green: RSI breaks above the dispersion zone.
🔴 Red: RSI breaks below the dispersion zone.
🟡 Yellow: RSI inside the zone (neutral).
Trendlines at RSI levels: 40 (green), 50 (yellow), 60 (red).
Alerts when RSI crosses dispersion zones.
✅ 2. CM_Williams_Vix_Fix
Designed to simulate VIX-like volatility spikes on non-VIX instruments.
Detects potential market bottoms by measuring price deviation from recent highs.
Includes:
Bollinger Band range on WVF.
Percentile high/low zones to detect significant volatility moves.
Histogram plot of WVF for quick visual alerts.
Color-coded spikes (green when above upper thresholds).
⚙️ User Controls:
Adjustable RSI, Bollinger Band, and dispersion settings.
Toggle options for:
Viewing high/low VIX percentiles.
Showing standard deviation bands for WVF.
Custom trendline display levels at RSI key areas.
📌 Best Use Cases:
Detect early market reversals and volatility spikes.
Combine RSI strength with volatility-based bottom signals.
Layer dispersion-based logic on top of classic RSI strategies.
Dual Stochastic Enhanced (with Presets giua64)Script Title: Dual Stochastic Enhanced (with Presets giua64)
Overview:
This indicator enhances the traditional Dual Stochastic strategy, aiming to provide more filtered and potentially reliable trading signals. By integrating dynamic overbought/oversold levels via Bollinger Bands on the slow stochastic, a trend filter based on a moving average, momentum confirmation via RSI, and user-friendly selectable presets, "Dual Stochastic Enhanced" seeks to offer a more robust approach to identifying potential entry points.
Key Features:
Dual Stochastics: Utilizes a slow stochastic (configurable, e.g., 14 periods) as a context filter and a fast stochastic (configurable, e.g., 5 periods) as a signal trigger.
Bollinger Bands on Slow Stochastic: Instead of fixed overbought/oversold levels (80/20), Bollinger Bands are applied to the %K line of the slow stochastic. This creates dynamic zones that adapt to the stochastic's own volatility.
Trend Filter: A moving average (configurable type and length, e.g., EMA 100 as seen in the example chart for general context) on the price helps filter signals, allowing only trades aligned with the prevailing trend.
RSI Confirmation: An RSI oscillator (configurable length, e.g., 14 periods) is used to confirm momentum. Signals require the RSI to cross certain thresholds to validate the strength of the move.
User Presets: Includes presets for "Scalping," "Intraday," and "Swing trading," which quickly set all key parameters to suit different styles and timeframes. A "Custom" option is also available for full manual configuration.
Clear Visual Signals: Long (green) and Short (red) arrows appear on the chart when all entry conditions are met.
Active Zone Highlighting: The background of the indicator panel changes color (green or red) when "active zone" conditions (a combination of stochastics, trend, and RSI) are favorable.
Information Panel: A table in the top-right corner of the indicator panel displays the current status of the selected preset, trend filter, RSI value, and stochastic levels.
Signal Logic:
A LONG signal is generated when:
The fast stochastic %K crosses above its %D line.
The slow stochastic %K line is below its lower Bollinger Band (dynamic oversold condition).
The fast stochastic %K line is also in a low area (e.g., <25) to confirm the trigger is not premature.
The closing price is above the trend moving average (uptrend).
The RSI is above its long confirmation level (e.g., >40), indicating sufficient bullish momentum.
A SHORT signal is generated when:
The fast stochastic %K crosses below its %D line.
The slow stochastic %K line is above its upper Bollinger Band (dynamic overbought condition).
The fast stochastic %K line is also in a high area (e.g., >75).
The closing price is below the trend moving average (downtrend).
The RSI is below its short confirmation level (e.g., <60), indicating sufficient bearish momentum.
How to Use:
Select a Preset suitable for your trading style and the timeframe you are analyzing (e.g., Scalping for M1-M15, Intraday for M5-H1, Swing for H4-D1).
Alternatively, choose "Custom" and manually adjust all parameters (stochastic lengths, smoothing, Bollinger Bands, Moving Average, RSI, confirmation thresholds).
Observe the Information Panel for a quick understanding of the current conditions.
Evaluate the arrow signals, always considering the broader market context, price action, and any other confluences (supports/resistances, chart patterns).
The background highlighting can help quickly identify periods where conditions are aligned for potential trades.
Disclaimer:
This script is provided for educational and informational purposes only. Trading involves significant risk, and past performance is not indicative of future results. Always thoroughly test any strategy or indicator on historical data and on a demo account before risking real capital. The author assumes no responsibility for any losses incurred from the use of this script.
Author: giua64
RDBRB Strategy with Filters + Cooldowns + LabelsRDBRB Strategy with Filters + Cooldowns
This script implements the RDBRB (Rally-Drop-Base-Retest-Breakout) strategy, a classic price action setup designed to identify structured trade opportunities using volume, volatility bands, and trend alignment. It’s ideal for traders looking for clean, rule-based entries across any timeframe.
🧠 Core Components
Rally & Drop Detection
Identifies short-term momentum shifts using moving average crossovers:
✅ Ra = Rally (bullish crossover)
🔻 Dr = Drop (bearish crossunder)
Base Formation
A statistical base is defined using a moving average with a standard deviation envelope (Upper/Lower BB). This forms the foundation for breakout or retest setups.
Retest Zone (RT)
When price returns to the lower band (but stays below the base), it suggests a potential re-accumulation or reaction zone before a breakout.
Breakout Confirmation (BO)
A breakout is validated when:
Price crosses above the upper band
Volume exceeds the 20-bar average by a threshold multiplier
RSI is above a bullish momentum level
Price is trending above the longer-term EMA
⏱️ Smart Cooldown Logic
Each signal (Rally, Drop, Retest, Breakout) has an independent cooldown timer to prevent multiple triggers within a short range, filtering out noise and duplicate signals:
Customizable cooldown periods via input settings
Ensures signals are meaningful and not clustered
💡 Visual Markers
All signals are shown as small, color-coded labels:
Ra : Green label below bar
Dr : Red label above bar
RT : Yellow label below bar
BO : Green breakout label below bar
Bands and base are plotted for structure reference.
🛠️ Customizable Settings
Cooldown periods for each signal type
MA lengths, volume and RSI thresholds
Trend filter and base calculation inputs
This script is ideal for price action traders who want a clean, structured method to trade consolidations and trend continuations while avoiding over-signaling. Use it on any timeframe and combine with higher-timeframe confirmation for best results.
ABC Market stage judgmentABC Stage Judgment Indicators · Introduction
Core ideology
The market situation is divided into three stages:
Zone B (Low Volatility Accumulation): Extremely low volatility, no trend, institutions accumulate chips.
Zone A (oscillation zone): The volatility has rebounded but there is no unilateral trend, suitable for short-term high selling and low buying.
Zone C (Trend Explosion): The volatility has significantly expanded and the trend is strong, making it profitable to follow the position.
Core Indicators
Volatility measurement
Bollinger Bands Width (BBWidth): 20 cycle moving average ± 2 σ bandwidth, reflecting relative volatility compression/release;
ATR (Average True Volatility): measures the absolute intensity of price volatility.
Trend Strength
ADX (Average Trend Index): measures the strength of a trend (without distinguishing direction),
ADX<20 → No trend (Zone B/A)
ADX>25 → Significant trend (Zone C)
Stage division logic
Zone B: Both BWidth and ATR are less than the set multiple of their respective historical means, and ADX is less than the threshold → "quiet bottoming out";
Zone C: ADX>threshold, and BBWidth or ATR>set multiple of their respective historical means, trading volume amplification → "trend takeoff";
Zone A: Time periods that do not belong to B/C are all classified as oscillation zones.
Optional enhanced filtering
Direction confirmation (+DI/- DI): avoid going against the trend;
Multi cycle verification (4H): in line with the trend of large-scale;
Momentum filtering (ROC/MACD/RSI): ensuring kinetic energy support;
ATR slope: Confirm the release of fluctuations;
Breakthrough Confirmation: Enter only after the breakthrough is confirmed at the closing level.
These filters are turned off by default and can be selected with one click for different scenarios such as "high-level oscillation", "low-level bottoming", "planting trees in the middle", etc.
usage
Multi cycle switching: Built in "5-minute/1-hour" two main cycles for free switching;
Visualization: The background color and labels display the current Zone at a glance;
Alarm: Stage switching automatically triggers an Alert, which can be pushed through mobile phones/Telegram.
BK AK-9I am incredibly proud to introduce my fourth indicator to the TradingView community:
BK AK-9 — a next-level momentum-volatility hybrid, built for traders who demand precision.
🔥 Why “AK-9”? The Meaning Behind the Name
This indicator is deeply personal to me.
The “AK” in the name represents the initials of my mentor — the man whose guidance shaped my journey in trading, discipline, and strategy.
His wisdom is woven into every line of code, every design choice, and every purpose behind this tool.
The “9” holds its own powerful meaning:
9 is the number of completion and breakthrough — the moment where preparation meets opportunity.
The AK-9 weapon itself is a suppressed variant of the legendary AK platform, built for stealth, precision, and maximum impact in close-quarters combat.
It’s quiet, adaptive, and deadly effective — just like this indicator cuts through market noise, adapts to volatility, and pinpoints moments of maximum opportunity.
✨ About the BK AK-9 Indicator
The BK AK-9 is not just an oscillator.
It’s a multi-layered trading weapon combining:
✅ RSI → Stochastic → Bollinger Bands on Stoch RSI → momentum measured inside volatility.
✅ Dynamic or Static Background Flash → when extremes hit, you get instant visual alerts.
✅ Color-coded %K zones →
🔴 Red: oversold
🟢 Green: overbought
🔵 Blue: neutral
✅ Volatility-adaptive bands → instead of relying on static levels, the bands expand and contract dynamically using standard deviation.
🛡️ Why This Indicator Matters
Pinpoints exhaustion zones statistically, not emotionally.
Confirms breakouts with volatility evidence, not just price action.
Filters noise and helps you wait for high-probability setups.
Gives you visual edge with color-coded momentum and background flash.
Perfect for:
🔹 Breakout traders confirming momentum surges.
🔹 Mean-reversion traders catching exhaustion pivots.
🔹 Swing traders using multi-layered momentum analysis.
🔹 Momentum traders hunting volatility-backed entries.
💥 How to Use BK AK-9
Breakout Confirmation → when Stoch RSI breaks above upper Bollinger Band (green zone, flash ON), ride the trend.
Mean Reversion Trades → when Stoch RSI drops below lower Bollinger Band (red zone, flash ON), look for reversals.
Noise Filtering → stay patient inside the blue zone, wait for extremes.
Advanced Sync → align it with Gann levels, harmonic patterns, Fibonacci clusters, or Elliott waves for maximum edge.
🙏 Final Thoughts
This isn’t just another tool — it’s a weapon in your trading arsenal.
🔹 Dedicated to my mentor, A.K., whose wisdom and legacy guide my work.
🔹 Designed around the number 9, the number of completion, transition, and breakthrough.
🔹 Built to help traders act with precision, discipline, and clarity.
But above all, I give praise and glory to Gd — the true source of wisdom, insight, and success.
Markets will test your patience and your skill, but faith tests your soul. Through every challenge, every victory, and every setback, Gd remains the constant.
This tool is simply another way to use the gifts He has given — to help others rise.
⚡ Stay Ready, Stay Sharp
The markets are a battlefield. But with the right tools, the right strategy, and the right mindset — you will always stay 10 steps ahead.
🔥 Stay locked. Stay loaded. Trade with precision. 🔥
Gd bless, and may He guide us all to wisdom and success. 🙏
Polygot Moving AveragesDescription
This is essentially a source merger of Bollinger Bands by Trading View and Simple Moving Averages by stoxxinbox. My additions and subtractions are minimal. There is the BB MA, which I default at 5d, and the other 4 averages are the standard 21, 50, 100, 200, day moving averages. I default the averaging method to WMA (Weighted Moving Average). The method of averaging can be changed as also can the lengths of the inputs to match user preferences. This is what I wanted for an indicator and didn't find.
Usage
The same as you would use any other BB or MA indicator. The benefit of this one is that it has 4 MAs, one MA with the Bollinger Bands attached, and the colours adjusted to be easy on the eyes when using high contrast themes, to be discernible yet sit quietly in the background with lines and candle sticks everywhere shouting for attention. I use it as a base first indicator which I can hide easily (imagine hiding five MA indicators individually constantly) when the more serious indicators come into play.
RSI - 5UP Overview
The "RSI - 5UP" indicator is a versatile tool that enhances the traditional Relative Strength Index (RSI) by adding smoothing options, Bollinger Bands, and divergence detection. It provides a clear visual representation of RSI levels with customizable bands and optional moving averages, helping traders identify overbought/oversold conditions and potential trend reversals through divergence signals.
Features
Customizable RSI: Adjust the RSI length and source to fit your trading style.
Overbought/Oversold Bands: Visualizes RSI levels with intuitive color-coded bands (red for overbought at 70, white for neutral at 50, green for oversold at 30).
Smoothing Options: Apply various types of moving averages (SMA, EMA, SMMA, WMA, VWMA) to the RSI, with optional Bollinger Bands for volatility analysis.
Divergence Detection: Identifies regular bullish and bearish divergences, with visual labels ("Bull" for bullish, "Bear" for bearish) and alerts.
G radient Fills: Highlights overbought and oversold zones with gradient fills (green for overbought, red for oversold).
How to Use
1. Add to Chart: Apply the "RSI - 5UP" indicator to any chart. It works well on timeframes from 5 minutes to daily.
2. Configure Settings:
RSI Settings:
RSI Length: Adjust the period for RSI calculation (default: 14).
Source: Choose the price source for RSI (default: close).
Calculate Divergence: Enable to detect bullish/bearish divergences (default: disabled).
Smoothing:
Type: Select the type of moving average to smooth the RSI ("None", "SMA", "SMA + Bollinger Bands", "EMA", "SMMA (RMA)", "WMA", "VWMA"; default: "SMA").
Length: Set the period for the moving average (default: 14).
BB StdDev: If "SMA + Bollinger Bands" is selected, adjust the standard deviation multiplier for the bands (default: 2.0).
3.Interpret the Indicator:
RSI Levels: The RSI line (purple) oscillates between 0 and 100. Levels above 70 (red band) indicate overbought conditions, while levels below 30 (green band) indicate oversold conditions. The 50 level (white band) is neutral.
Gradient Fills: The background gradients (green above 70, red below 30) highlight overbought and oversold zones for quick reference.
Moving Average (MA): If enabled, a yellow MA line smooths the RSI. If "SMA + Bollinger Bands" is selected, green bands appear around the MA to show volatility.
Divergences: If "Calculate Divergence" is enabled, look for "Bull" (green label) and "Bear" (red label) signals:
Bullish Divergence: Indicates a potential upward reversal when the price makes a lower low, but the RSI makes a higher low.
Bearish Divergence: Indicates a potential downward reversal when the price makes a higher high, but the RSI makes a lower high.
4. Set Alerts:
Use the "Regular Bullish Divergence" and "Regular Bearish Divergence" alert conditions to be notified when a divergence is detected.
Notes
The indicator does not provide direct buy/sell signals. Use the RSI levels, moving averages, and divergence signals as part of a broader trading strategy.
Divergence detection requires the "Calculate Divergence" option to be enabled and may not work on all timeframes or assets due to market noise.
The Bollinger Bands are only visible when "SMA + Bollinger Bands" is selected as the smoothing type.
Credits
Developed by Marrulk. Enjoy trading with RSI - 5UP! 🚀
NexAlgo AI with Dynamic TP/SLThe NexAlgo Indicator combines a Gaussian kernel regression engine with adaptive volatility thresholds to generate clear, data‑driven trade signals and built‑in risk levels. It predicts the next bar’s price relative to a simple moving average, then measures the average deviation between actual and forecasted values to form dynamic bands. Breakouts beyond these bands, aligned with the prediction’s direction, produce buy or sell signals directly on your chart.
How It Works & What You’ll See
Kernel Regression Forecast: A rolling “lookback” window builds a Gaussian similarity matrix of recent prices. This matrix is used to project the next price, smoothing around a moving average.
Adaptive Volatility Bands: The indicator computes the mean absolute error between actual and predicted prices, multiplies it by your chosen volatility factor, and plots upper and lower bands.
Signal Triggers: When price closes above the upper band while the prediction is rising, a green “BUY” label appears; when price closes below the lower band as the forecast falls, a red “SELL” label is shown.
Automatic SL/TP Levels: After each signal, the script scans recent swing highs/lows and applies an ATR buffer. Stop‑loss is set conservatively at the more protective of these levels, while take‑profit is calculated by your reward‑to‑risk ratio and capped near the opposite swing extreme.
Customizable Inputs
Lookback Period & Smoothing: Adjust how many bars the regression and volatility calculations use, and tune the noise regularization to suit fast or slow markets.
Volatility Multiplier: Widen or tighten the adaptive bands to control signal frequency and confidence.
Swing Lookback & ATR Options: Define how far back the indicator searches for swing points, and choose between ATR calculation methods.
Reward‑to‑Risk Ratio: Set your preferred multiple of stop‑loss distance for take‑profit targets.
What Makes NexAlgo Different
Hybrid Statistical Approach: Unlike fixed‑period moving averages or standard regression, the Gaussian kernel adapts locally to evolving price patterns and regimes.
Self‑Adjusting Thresholds: Volatility bands derive from prediction errors—so they expand in choppy markets and contract in trending conditions.
Integrated Risk Controls: Automatically calculated stop‑loss and take‑profit levels remove manual guesswork, yet remain grounded in both ATR and price structure.
Trader‑Driven Flexibility: Every parameter—from lookback length to risk ratio—can be dialed in for scalping, swing trading, or longer‑term strategies.
Getting Started
• Apply NexAlgo to your preferred timeframe (5–15 min for intraday scalps, 1 h–4 h for swings, daily for position plays).
• Begin with default settings and gradually adjust lookback and smoothing to balance responsiveness versus noise.
• Experiment with volatility multipliers: tighten in strong trends, widen when markets churn.
• Backtest different ATR buffers and reward ratios to discover your ideal risk‑reward profile.
Visualisation tendancesThis script allows you to visualize the current trend of a financial asset.
It has two colors:
- Green for bullish phases
- Red for bearish phases
This allows you to instantly position yourself in the direction of the trend.
It also integrates Bollinger Bands, a volatility indicator.
This allows you to display two different indicators in a single indicator.
Pino Trend Pack (SMA/EMA + Bollinger)🔹 Pino Trend Pack is a compact trend-following and volatility indicator that includes:
📈 Moving Averages:
- SMA 10, SMA 30
- EMA 21, EMA 55, EMA 89
(All configured for short-term to mid-term trend analysis by default, but fully adjustable for user preference.)
📊 Bollinger Bands:
- Period: 20
- Standard Deviation: 2.0
- Includes Upper Band, Lower Band, and Basis (SMA 20)
This pack is designed for traders who want a clean visual of price dynamics across multiple short-term trend layers, combined with volatility tracking. It helps you identify compression, expansion, and trend shifts at a glance.
🧠 Ideal for swing trading, short- to mid-term setups, or as a supporting tool in any confluence-based strategy.
ATLAS Reversion Bands v2 [EMA % Spread]🧠 About the ATLAS Reversion Bands v2
I created this indicator to answer a simple question:
"When is price extended too far from trend, and likely to revert?"
The ATLAS Reversion Bands measure the percentage spread between a fast and slow EMA (default 25/200) and track how far that spread moves from its historical average using z-score and standard deviation bands—essentially building a Bollinger Band system on top of EMA distance.
Instead of relying on traditional oscillators like RSI or MACD, this tool is purely math-driven and tailored for spotting overextensions across any asset.
🔍 What It Does
Tracks the normalized spread between EMA 25 and EMA 200
Highlights statistically rare zones using ±2 and ±3 standard deviation bands
Plots BUY/SELL triangle markers only on first entry into extreme zones
Helps identify mean reversion opportunities (deep pullbacks or FOMO tops)
📈 How to Use It
Wait for the spread to hit or exceed ±2.5 or ±3 standard deviations
Look for confirmation via price structure, candles, or volume
Best used on spot or perp markets with healthy liquidity
Ideal for swing trading or narrative-based rotational setups
🕐 Recommended Timeframes
1H, 4H, and 1D are optimal
Use MTF mode to apply daily logic on lower timeframes (e.g., see 1D exhaustion while trading 4H)
Works across:
✅ BTC, ETH, Majors
✅ Meme coins (better on 1H/4H)
✅ Market indexes (TOTAL2, BTC.D, etc.)
📌 Pro Tips
Raise the Z-score alert threshold for stricter signals (e.g., 3.0 for only the wildest extensions)
Use with other confluence tools (like S/R, candles, or RSI)
Not designed for chasing trends — this is a fade-the-hype, buy-the-blood kind of tool
Fib BB on VWMA*ATRThis TradingView Pine Script is designed to plot Fibonacci Bollinger Bands on a Volume Weighted Moving Average (VWMA) using the Average True Range (ATR). The script takes a higher timeframe (HTF) approach, allowing traders to analyze price action and volatility from a broader market perspective.
🔹 How It Works
Higher Timeframe Data Integration
Users can select a specific timeframe to calculate the VWMA and ATR.
This allows for a more macro perspective, avoiding the noise of lower timeframes.
Volume Weighted Moving Average (VWMA)
Unlike the Simple Moving Average (SMA), VWMA gives higher weight to price movements with larger volume.
Calculation Formula:
𝑉𝑊𝑀𝐴=∑(𝐶𝑙𝑜𝑠𝑒×𝑉𝑜𝑙𝑢𝑚𝑒) / ∑𝑉𝑜𝑙𝑢𝑚𝑒
Since VWMA accounts for volume, it is more reactive to price zones with high buying or selling activity, making it useful for identifying liquidity zones.
ATR-Based Fibonacci Bollinger Bands
The Average True Range (ATR) is used to measure market volatility.
Instead of standard deviation-based Bollinger Bands, Fibonacci multipliers (2.618, 3.0, 3.414) are applied to ATR.
These bands adjust dynamically with market volatility.
🔹 Key Findings from Exploration
Through testing and analysis, this indicator seems to effectively detect supply and demand zones, particularly at the Fibonacci levels of 2.618 to 3.414.
Price frequently reacts at these bands, indicating that they capture key liquidity zones.
Potential Order Block Detection:
The ends of the Fibonacci Bollinger Bands (especially at 2.618, 3.0, and 3.414) tend to align with order blocks—areas where institutional traders previously accumulated or distributed positions.
This is particularly useful for order flow traders who focus on unfilled institutional orders.
🔹 How to Use This Indicator?
Identifying Order Blocks
When price reaches the upper or lower bands, check if there was a strong reaction (rejection or consolidation).
If price rapidly moves away from a band, that level might be an order block.
Spotting Liquidity Pools
VWMA’s nature enhances liquidity detection since it emphasizes high-volume price action.
If a price level repeatedly touches the band without breaking through, it suggests institutional orders may be absorbing liquidity there.
Trend Confirmation
If VWMA is trending upwards and price keeps rejecting the lower bands, it confirms a strong bullish trend.
Conversely, constant rejection from the upper bands suggests a bearish market.
This script is designed for open-source publication and offers traders a refined approach to detecting order blocks and liquidity zones using Fibonacci-based volatility bands.
📌 한글 설명 (상세 설명)
이 트레이딩뷰 파인스크립트는 거래량 가중 이동평균(VWMA)과 평균 실제 범위(ATR)를 활용하여 피보나치 볼린저 밴드를 표시하는 지표입니다.
또한, 고차 타임프레임(HTF) 데이터를 활용하여 시장의 큰 흐름을 분석할 수 있도록 설계되었습니다.
🔹 지표 작동 방식
고차 타임프레임(HTF) 데이터 적용
사용자가 원하는 타임프레임을 선택하여 VWMA와 ATR을 계산할 수 있습니다.
이를 통해 더 큰 시장 흐름을 분석할 수 있으며, 저타임프레임의 노이즈를 줄일 수 있습니다.
거래량 가중 이동평균(VWMA) 적용
VWMA는 단순 이동평균(SMA)보다 거래량이 많은 가격 움직임에 더 큰 가중치를 부여합니다.
계산 공식:
𝑉𝑊𝑀𝐴=∑(𝐶𝑙𝑜𝑠𝑒×𝑉𝑜𝑙𝑢𝑚𝑒) / ∑𝑉𝑜𝑙𝑢𝑚𝑒
거래량이 많이 발생한 가격 구간을 강조하는 특성이 있어, 시장의 유동성 구간을 더 정확히 포착할 수 있습니다.
ATR 기반 피보나치 볼린저 밴드 생성
ATR(Average True Range)를 활용하여 변동성을 측정합니다.
기존의 표준편차 기반 볼린저 밴드 대신, 피보나치 계수(2.618, 3.0, 3.414)를 ATR에 곱하여 밴드를 생성합니다.
이 밴드는 시장 변동성에 따라 유동적으로 조정됩니다.
🔹 탐구 결과: 매물대 및 오더블록 감지
테스트를 통해 Fibonacci 2.618 ~ 3.414 구간에서 매물대 및 오더블록을 포착하는 경향이 있음을 확인했습니다.
가격이 피보나치 밴드(특히 2.618, 3.0, 3.414)에 닿을 때 반응하는 경우가 많음
VWMA의 특성을 통해 오더블록을 감지할 가능성이 높음
🔹 오더블록(Order Block) 감지 원리
Fibonacci 밴드 끄트머리(2.618 ~ 3.414)에서 가격이 강하게 반응
이 영역에서 가격이 강하게 튀어 오르거나(매수 압력) 급락하는(매도 압력) 경우,
→ 기관들이 포지션을 청산하거나 추가 매집하는 구간일 가능성이 큼.
과거에 대량 주문이 체결된 가격 구간(= 오더블록)일 수 있음.
VWMA를 통한 유동성 감지
VWMA는 거래량이 집중된 가격을 기준으로 이동하기 때문에, 기관 주문이 많이 들어온 가격대를 강조하는 특징이 있음.
따라서 VWMA와 피보나치 밴드가 만나는 지점은 유동성이 높은 핵심 구간이 될 가능성이 큼.
매물대 및 청산 구간 분석
가격이 밴드에 도달했을 때 강한 반등이 나오는지를 확인 → 오더블록 가능성
가격이 밴드를 여러 번 테스트하면서 돌파하지 못한다면, 해당 지점은 강한 매물대일 가능성
🔹 활용 방법
✅ 오더블록 감지:
가격이 밴드(2.618~3.414)에 닿고 강하게 튕긴다면, 오더블록 가능성
해당 지점에서 거래량 증가 및 강한 반등 발생 시 매수 고려
✅ 유동성 풀 확인:
VWMA와 피보나치 밴드가 만나는 구간에서 반복적으로 거래량이 터진다면, 해당 지점은 기관 유동성 구간일 가능성
✅ 추세 확인:
VWMA가 상승하고 가격이 밴드 하단(지지선)에서 튕긴다면 강한 상승 추세
VWMA가 하락하고 가격이 밴드 상단(저항선)에서 거부당하면 하락 추세 지속
Adaptive Bollinger BandsAdaptive Bollinger Bands
This indicator displays Bollinger Bands with parameters that dynamically adjust based on market volatility. Unlike standard Bollinger Bands with fixed parameters, this version adaptively modifies both the period and standard deviation multiplier in real-time based on measured market conditions.
Key Features
Dynamic adjustment of period and standard deviation based on normalized volatility
Color-coded visualization of current volatility regime (expanding, normal, contracting)
Integration with Keltner Channels for band refinement
Bandwidth analysis for volatility regime identification
Optional on-chart parameter labels showing current settings
Band cross alerts and visual markers
Volatility Visualization
The indicator uses color-coding to display different volatility regimes:
Red: Expanding volatility regime (higher measured volatility)
Blue: Normal volatility regime (average measurements)
Green: Contracting volatility regime (lower measured volatility)
Technical Information
The indicator calculates volatility by analyzing price returns over a configurable lookback period (default 50 bars). The standard deviation of returns is normalized against historical extremes to create an adaptive scaling factor.
Band adaptation occurs through two primary mechanisms:
1. Period adjustment: Higher volatility uses shorter periods (more responsive), while lower volatility uses longer periods (more stable)
2. Standard deviation multiplier adjustment: Higher volatility increases the multiplier (wider bands), while lower volatility decreases it (tighter bands)
The middle band uses a simple moving average with the adaptive period. Additional refinement occurs through Keltner Channel integration, which can tighten bands when contained within Keltner boundaries.
Volatility regimes are determined by analyzing Bollinger Bandwidth relative to its recent history, providing contextual information about the current market state.
Settings Customization
The indicator provides extensive customization options:
- Base parameters (period and standard deviation)
- Adaptive range limits (min/max period and standard deviation)
- Keltner Channel parameters for band refinement
- Bandwidth analysis settings
- Display options for visual elements
Limitations and Considerations
All technical indicators have inherent limitations and should not be used in isolation
Past performance does not guarantee future results
The indicator requires sufficient historical data for proper volatility normalization
Smaller timeframes may produce more noise in the adaptive calculations
Parameters may require adjustment for different markets and trading styles
Band crosses are not trading signals on their own and should be evaluated with other factors
This indicator is designed to provide objective information about market volatility conditions and potential support/resistance zones. Always combine with other analysis methods within a comprehensive trading approach.
Smart Buy/Sell Signal IndicatorOverview
The Smart Buy/Sell Signal Indicator is a multi-factor trading tool that i ntegrates Supertrend, Bollinger Bands, RSI, ADX, and Moving Averages to generate high-probability buy and sell signals. Unlike simple crossover-based strategies, this indicator leverages multiple layers of confirmation to reduce false signals and improve trade execution accuracy.
This indicator is designed for trend-following traders, scalpers, and swing traders, helping them identify key reversal points and momentum shifts with precise breakout conditions.
How It Works
The Smart Buy/Sell Signal Indicator filters out weak trade signals by combining trend, volatility, momentum, and strength indicators in the following manner:
✅ Supertrend-Based Trend Filtering:
• The script checks if the price is above or below the Supertrend level before confirming a buy or sell signal.
• Buy signals occur below the Supertrend Down level, confirming support.
• Sell signals occur above the Supertrend Up level, confirming resistance.
✅ Bollinger Bands for Overbought & Oversold Conditions:
• Buy signals are confirmed when price touches the Bollinger Lower Band (suggesting oversold conditions).
• Sell signals are confirmed when price touches the Bollinger Upper Band (suggesting overbought conditions).
• This ensures that trades occur at high-probability reversal zones, rather than random price action.
✅ RSI Momentum Confirmation:
• Buy trades trigger when RSI is below 50 (indicating strength building from an oversold region).
• Sell trades trigger when RSI is above 50 (indicating weakness forming in an overbought region).
• This ensures signals are momentum-backed and not counter-trend moves.
✅ ADX Strength Confirmation:
• The script filters signals using the ADX (Average Directional Index) to ensure that only trades with sufficient market strength are executed.
• If the ADX value is below a threshold (default: 15), the signal is ignored to prevent false breakouts in choppy markets.
✅ Confirmation Moving Average (MA) for Trend Validation:
• The script applies an additional confirmation filter using a Moving Average (SMA/EMA).
• Buy signals trigger only when the price is above the MA, aligning with trend direction.
• Sell signals trigger only when the price is below the MA, ensuring alignment with the broader market structure.
✅ Trade Cooldown Mechanism (Minimum Bars Between Signals):
• To avoid frequent signals in sideways markets, a cooldown period is implemented.
• Default: 5 bars between signals (adjustable).
• Prevents rapid consecutive trades, reducing false entries.
Key Features
✔️ Supertrend & Moving Average Confirmation – Ensures trades are taken only in the correct trend direction.
✔️ Bollinger Bands Integration – Helps identify high-probability reversal zones.
✔️ ADX Strength Filtering – Ensures trades are only executed when the market has enough strength.
✔️ Momentum-Based RSI Filtering – Avoids counter-trend trades and confirms directional strength.
✔️ Trade Cooldown Mechanism – Reduces overtrading and noise in sideways markets.
✔️ Webhook Alerts for Automation – Auto-execute trades or receive real-time notifications.
✔️ Customizable Inputs – Adjustable thresholds, EMA/SMA length, ADX filter, cooldown period for flexibility.
✔️ Works Across Multiple Timeframes – Suitable for scalping (5m, 15m), swing trading (1H, 4H), and position trading (Daily).
How to Use
📌 Scalping & Intraday Trading:
• Use on 5m, 15m, or 30m timeframes.
• Look for Bollinger Band touch + RSI confirmation + Supertrend support/resistance validation before entering trades.
📌 Swing Trading:
• Use on 1H or 4H timeframes.
• Enter only when ADX is strong and price aligns with Supertrend direction.
📌 Webhook Automation:
• Set up TradingView Alerts to auto-execute trades via Webhook-compatible platforms.
Why This Combination?
This indicator is not just a simple moving average crossover tool.
It is designed to filter out weak breakouts and only execute trades that have:
✅ Trend confirmation (Supertrend + Moving Average)
✅ Volatility filtering (Bollinger Bands for overbought/oversold confirmation)
✅ Momentum validation (RSI threshold filtering)
✅ Market strength requirement (ADX ensures sufficient momentum)
This multi-layered approach ensures that only the highest-quality setups are executed, improving both win rate and reliability.
Why It’s Worth Using?
🚀 Reduces False Breakouts – Avoids weak breakouts by requiring ADX confirmation.
🚀 Works in All Market Conditions – Trend-following logic for trending markets, volatility-based entries for reversals.
🚀 Customizable to Any Trading Style – Adjustable parameters for trend, momentum, and strength filtering.
🚀 Seamless Webhook Automation – Execute trades automatically with TradingView alerts.
🚀 Ready to trade smarter?
✅ Add the Smart Buy/Sell Signal Indicator to your TradingView chart today! 🎯🔥
Red & Green Zone ReversalOverview
The “Red & Green Zone Reversal” indicator is designed to visually highlight potential reversal zones on your chart by using a combination of Bollinger Bands and the Relative Strength Index (RSI).
It overlays on the chart and provides background color cues—red for oversold conditions and green for overbought conditions—along with corresponding alert triggers.
Key Components
Overlay: The indicator is set to overlay the chart, meaning its visual cues (colored backgrounds) are drawn directly on the price chart.
Bollinger Bands Calculation
Period: A 20-period simple moving average (SMA) is calculated from the closing prices.
Standard Deviation Multiplier: A multiplier of 2.0 is applied.
Bands Defined:
Basis: The 20-period SMA.
Deviation: Calculated as 2 times the standard deviation over the same period.
Upper Band: Basis plus the deviation.
Lower Band: Basis minus the deviation.
RSI Calculation
Period: The RSI is computed over a 14-period span using the closing prices.
Thresholds:
Oversold Threshold: 30 (used for the red zone condition).
Overbought Threshold: 70 (used for the green zone condition).
Zone Conditions
Red Zone (Oversold):
Criteria: The price is below the lower Bollinger Band and the RSI is below 30.
Purpose: Highlights a situation where the asset may be deeply oversold, signaling a potential reversal to the upside.
Green Zone (Overbought):
Criteria: The price is above the upper Bollinger Band and the RSI is above 70.
Purpose: Indicates that the asset may be overbought, potentially signaling a reversal to the downside.
Visual and Alert Components
Background Coloring:
Red Background: Applied when the red zone condition is met (using a semi-transparent red).
Green Background: Applied when the green zone condition is met (using a semi-transparent green).
Alerts:
Red Alert: An alert condition titled “Deep Oversold Alert” is triggered with the message “Deep Oversold Signal triggered!” when the red zone criteria are satisfied.
Green Alert: Similarly, an alert condition titled “Deep Overbought Alert” is triggered with the message “Deep Overbought Signal triggered!” when the green zone criteria are met.
Important Disclaimers
Not Financial Advice:
This indicator is provided for informational and analytical purposes only. It does not constitute trading advice or a recommendation to buy or sell any asset. Traders should use it as one of several tools in their analysis and should perform their own due diligence.
Risk Management:
Trading inherently involves risk. Past performance is not indicative of future results. Always implement appropriate risk management and use stop losses where necessary.
Summary
In summary, the “Red & Green Zone Reversal” indicator uses Bollinger Bands and RSI to detect extreme market conditions. It visually marks oversold (red) and overbought (green) conditions directly on the chart and offers alert conditions to help traders monitor these potential reversal points.
Enjoy!!
RSI with Bollinger Bands and Buy/Sell SignalsPurpose:
This indicator combines the Relative Strength Index (RSI) with Bollinger Bands to identify overbought and oversold conditions in the market. It also generates buy and sell signals based on the interaction between the RSI and the Bollinger Bands. It is particularly useful for traders looking for opportunities in volatile or trending markets.
How It Works:
RSI (Relative Strength Index):
The RSI measures the magnitude of recent price changes to evaluate whether an asset is overbought (values > 70) or oversold (values < 30).
In this indicator, horizontal lines at levels 70 (overbought) and 30 (oversold) are used as reference points.
Bollinger Bands:
Bollinger Bands are calculated around a smoothed moving average of the RSI. The upper band represents dynamic overbought levels, while the lower band indicates dynamic oversold levels.
These bands automatically adjust their width based on the volatility of the RSI, allowing them to adapt to different market conditions.
Buy and Sell Signals:
Buy Signal: A buy signal is generated when the RSI exceeds both the upper Bollinger Band and the overbought level (70). This suggests that the asset is in an extreme bullish phase.
Sell Signal: A sell signal is generated when the RSI falls below both the lower Bollinger Band and the oversold level (30). This suggests that the asset is in an extreme bearish phase.
Alerts:
The indicator includes automatic alerts to notify you when buy or sell signals are generated. This allows traders to act quickly on new opportunities.
Best Practices:
Confirmation in Lower Timeframes:
Although this indicator is powerful, it is recommended to confirm signals in lower timeframes before making trading decisions. For example:
If you receive a buy signal on a 4-hour chart, check if the RSI and Bollinger Bands on lower timeframes (such as 1 hour or 15 minutes) also show bullish signals.
This reduces the risk of false positives and increases the accuracy of your entries.
Use in Trends:
This indicator works best in markets with clear trends. In sideways or low-volatility markets, signals may be less reliable due to the lack of directional momentum.
Risk Management:
Always use stop-loss and take-profit to protect your positions. Buy and sell signals are just one tool for analysis; they do not guarantee results.
Combination with Other Indicators:
To improve accuracy, consider combining this indicator with others, such as MACD, Stochastic Oscillator, or Japanese candlestick patterns. This can provide additional confirmation before opening a position.
Summary:
The RSI + Bollinger Bands with Buy/Sell Signals indicator is an advanced tool designed to identify entry and exit points in the market based on extreme overbought and oversold conditions. However, to maximize its effectiveness, it is crucial to confirm signals in lower timeframes and use it in combination with other technical analysis tools. With proper risk management and careful interpretation of signals, this indicator can be a valuable ally in your trading strategy.
Waldo Momentum Cloud Bollinger Bands (WMCBB)
Title: Waldo Momentum Cloud Bollinger Bands (WMCBB)
Description:
Introducing the "Waldo Momentum Cloud Bollinger Bands (WMCBB)," an innovative trading tool crafted for those who aim to deepen their market analysis by merging two dynamic technical indicators: Dynamic RSI Bollinger Bands and the Waldo Cloud.
What is this Indicator?
WMCBB integrates the volatility-based traditional Bollinger Bands with a momentum-sensitive approach through the Relative Strength Index (RSI). Here’s how it works:
Dynamic RSI Bollinger Bands: These bands dynamically adjust according to the RSI, which tracks the momentum of price movements. By scaling the RSI to align with price levels, we generate bands that not only reflect market volatility but also the underlying momentum, offering a refined view of overbought and oversold conditions.
Waldo Cloud: This feature adds a layer of traditional Bollinger Bands, visualized as a 'cloud' on your chart. It employs standard Bollinger Band methodology but enhances it with additional moving average layers to better define market trends.
The cloud's color changes dynamically based on various market conditions, providing visual signals for trend direction and potential trend reversals.
Why Combine These Indicators?
Combining Dynamic RSI Bollinger Bands with the Waldo Cloud in WMCBB aims to:
Enhance Trend Identification: The Waldo Cloud's color-coded system aids in recognizing the overarching market trend, while the Dynamic RSI Bands give insights into momentum changes within that trend, offering a comprehensive view.
Improve Volatility and Momentum Analysis: While traditional Bollinger Bands measure market volatility, integrating RSI adds a layer of momentum analysis, potentially leading to more accurate trading signals.
Visual Clarity: The unified color scheme for both sets of bands, which changes according to RSI levels, moving average crossovers, and price positioning, simplifies the process of gauging market sentiment at a glance.
Customization: Users have the option to toggle the visibility of moving averages (MA) through the settings, allowing for tailored analysis based on individual trading strategies.
Usage:
Utilize WMCBB to identify potential trend shifts by observing price interactions with the dynamic bands or changes in the Waldo Cloud's color.
Watch for divergences between price movements and RSI to forecast potential market reversals or continuations.
This combination shines in sideways markets where traditional indicators might fall short, as it provides additional context through RSI momentum analysis.
Settings:
Customize parameters for both the Dynamic RSI and Waldo Cloud Bollinger Bands, including the calculation source, standard deviation factors, and moving average lengths.
WMCBB is perfect for traders seeking to enhance their market analysis through the synergy of momentum and volatility, all while maintaining visual simplicity. Trade with greater insight using the Waldo Momentum Cloud Bollinger Bands!
MTF Sqz by The CrazyChrisCC – MTF Sqz/EMA
I create this script to easily be able to see the EMA and the Squeeze on multiple time frame at the same time and to easily create alert without going to each time frame to activate them.
Here how it work :
TF/EMA :
This section show all 13 different time frame with a variable background color. The background color refer to the EMA 8 , 21 and 50. If all EMA are stack up ( ema 8 above ema 21 and ema 21 above ema 50) the background will be Green. If the EMA are stack down ( ema 8 below ema 21 and ema 21 below ema 50) the background will be Red. If the EMA are mix (no direction) the background will be Yellow.
Sqz :
1. This section show the squeeze for each time frame
- Green background = no squeeze
- Gray background = low squeeze
- Red background = medium squeeze
- Orange background = high squeeze
2. This section also show A+Up or A+Down :
- A+Up = EMA stack UP + medium or high squeeze + momentum increase
- A+Down = EMA stack Down + medium or high squeeze + momentum decrease
Buy Zone :
- Bz (green background) = Price between EMA 8 and EMA 21 + EMA stack Up + Medium or High squeeze
- Sz (red background) = Pirce between EMA 21 and EMA 8 + EMA stack Down + Medium or High squeeze
Best part of this indicator are the Alert !!! : They will advert when the price action is in the good spot for long or short depending of what kind of alert you set. (These alert are for information only, you choose by yourself if you want to go long or short or do nothing!)
I personally only used this indicator on the Bullish side ( I’m more of a bullish trader than a bearish trader) but I put different type of alert for all kind of trader.
First you need to go on the setting of this indicator to set the king of alert you want. By default it will activate alert for the Bullish ‘A+ Up + Bz’ condition ( I remove the 1 min , 3 min, daily, weekly and monthly alert to not receive too much alert)
Also before I set the alert I habitually choose a chart time frame of 30 min or around. The reason is if I choose a time frame to short I will received too much alert and if I choose a time frame too long I will not received enough alert but everyone each preference, you have the choose the best time frame that fit your kind of trading
To activate alert, go to the 3 dots (… , more) on the indicator title than chose the first option ( add alert on cc – MTF sqz) than click ‘Create’. From now every time frame that was already select in the setting of this indicator will be monitor and give you an alert when the conditions are met.
I also add some information the TICK indicator, the daily ATR and the Market cap for information purpose only.
Good trading to all
Feel free to comment or add request to this indicator, I try my best to respond to everyone
Smart Market Bias [PhenLabs]📊 Smart Market Bias Indicator (SMBI)
Version: PineScript™ v6
Description
The Smart Market Bias Indicator (SMBI) is an advanced technical analysis tool that combines multiple statistical approaches to determine market direction and strength. It utilizes complexity analysis, information theory (Kullback Leibler divergence), and traditional technical indicators to provide a comprehensive market bias assessment. The indicator features adaptive parameters based on timeframe and trading style, with real-time visualization through a sophisticated dashboard.
🔧 Components
Complexity Analysis: Measures price movement patterns and trend strength
KL Divergence: Statistical comparison of price distributions
Technical Overlays: RSI and Bollinger Bands integration
Filter System: Volume and trend validation
Visual Dashboard: Dynamic color-coded display of all components
Simultaneous current timeframe + higher time frame analysis
🚨Important Explanation Feature🚨
By hovering over each individual cell in this comprehensive dashboard, you will get a thorough and in depth explanation of what each cells is showing you
Visualization
HTF Visualization
📌 Usage Guidelines
Based on your own trading style you should alter the timeframe length that you would like to be analyzing with your dashboard
The longer the term of the position you are planning on entering the higher timeframe you should have your dashboard set to
Bias Interpretation:
Values > 50% indicate bullish bias
Values < 50% indicate bearish bias
Neutral zone: 45-55% suggests consolidation
✅ Best Practices:
Use appropriate timeframe preset for your trading style
Monitor all components for convergence/divergence
Consider filter strength for signal validation
Use color intensity as confidence indicator
⚠️ Limitations
Requires sufficient historical data for accurate calculations
Higher computational complexity on lower timeframes
May lag during extremely volatile conditions
Best performance during regular market hours
What Makes This Unique
Multi-Component Analysis: Combines complexity theory, statistical analysis, and traditional technical indicators
Adaptive Parameters: Automatically optimizes settings based on timeframe
Triple-Layer Filtering: Uses trend, volume, and minimum strength thresholds
Visual Confidence System: Color intensity indicates signal strength
Multi-Timeframe Capabilities: Allowing the trader to analyze not only their current time frame but also the higher timeframe bias
🔧 How It Works
The indicator processes market data through four main components:
Complexity Score (40% weight): Analyzes price returns and pattern complexity
Kullback Leibler Divergence (30% weight): Compares current and historical price distributions
RSI Analysis (20% weight): Momentum and oversold/overbought conditions
Bollinger Band Position (10% weight): Price position relative to volatility
Underlying Method
Maintains rolling windows of price data for multiple calculations
Applies custom normalization using hyperbolic tangent function
Weights component scores based on reliability and importance
Generates final bias percentage with confidence visualization
💡 Note: For optimal results, use in conjunction with price action analysis and consider multiple timeframe confirmation. The indicator performs best when all components show alignment.
Multi-Band Comparison (Uptrend)Multi-Band Comparison
Overview:
The Multi-Band Comparison indicator is engineered to reveal critical levels of support and resistance in strong uptrends. In a healthy upward market, the price action will adhere closely to the 95th percentile line (the Upper Quantile Band), effectively “riding” it. This indicator combines a modified Bollinger Band (set at one standard deviation), quantile analysis (95% and 5% levels), and power‑law math to display a dynamic picture of market structure—highlighting a “golden channel” and robust support areas.
Key Components & Calculations:
The Golden Channel: Upper Bollinger Band & Upper Std Dev Band of the Upper Quantile
Upper Bollinger Band:
Calculation:
boll_upper=SMA(close,length)+(boll_mult×stdev)
boll_upper=SMA(close,length)+(boll_mult×stdev) Here, the 20-period SMA is used along with one standard deviation of the close, where the multiplier (boll_mult) is 1.0.
Role in an Uptrend:
In a healthy uptrend, price rides near the 95th percentile line. When price crosses above this Upper Bollinger Band, it confirms strong bullish momentum.
Upper Std Dev Band of the Upper Quantile (95th Percentile) Band:
Calculation:
quant_upper_std_up=quant_upper+stdev
quant_upper_std_up=quant_upper+stdev The Upper Quantile Band, quant_upperquant_upper, is calculated as the 95th percentile of recent price data. Adding one standard deviation creates an extension that accounts for normal volatility around this extreme level.
The Golden Channel:
When the price crosses above the Upper Bollinger Band, the Upper Std Dev Band of the Upper Quantile immediately shifts to gold (yellow) and remains gold until price falls below the Bollinger level. Together, these two lines form the “golden channel”—a visual hallmark of a healthy uptrend where the price reliably hugs the 95th percentile level.
Upper Power‑Law Band
Calculation:
The Upper Power‑Law Band is derived in two steps:
Determine the Extreme Return Factor:
power_upper=Percentile(returns,95%)
power_upper=Percentile(returns,95%) where returns are computed as:
returns=closeclose −1.
returns=close close−1.
Scale the Current Price:
power_upper_band=close×(1+power_upper)
power_upper_band=close×(1+power_upper)
Rationale and Correlation:
By focusing on the upper 5% of returns (reflecting “fat tails”), the Upper Power‑Law Band captures extreme but statistically expected movements. In an uptrend, its value often converges with the Upper Std Dev Band of the Upper Quantile because both measures reflect heightened volatility and extreme price levels. When the Upper Power‑Law Band exceeds the Upper Std Dev Band, it can signal a temporary overextension.
Upper Quantile Band (95% Percentile)
Calculation:
quant_upper=Percentile(price,95%)
quant_upper=Percentile(price,95%) This level represents where 95% of past price data falls below, and in a robust uptrend the price action practically rides this line.
Color Logic:
Its color shifts from a neutral (blackish) tone to a vibrant, bullish hue when the Upper Power‑Law Band crosses above it—signaling extra strength in the trend.
Lower Quantile and Its Support
Lower Quantile Band (5% Percentile):
Calculation:
quant_lower=Percentile(price,5%)
quant_lower=Percentile(price,5%)
Behavior:
In a healthy uptrend, price remains well above the Lower Quantile Band. It turns red only when price touches or crosses it, serving as a warning signal. Under normal conditions it remains bright green, indicating the market is not nearing these extreme lows.
Lower Std Dev Band of the Lower Quantile:
This line is calculated by subtracting one standard deviation from quant_lowerquant_lower and typically serves as absolute support in nearly all conditions (except during gap or near-gap moves). Its consistent role as support provides traders with a robust level to monitor.
How to Use the Indicator:
Golden Channel and Trend Confirmation:
As price rides the Upper Quantile (95th percentile) perfectly in a healthy uptrend, the Upper Bollinger Band (1 stdev above SMA) and the Upper Std Dev Band of the Upper Quantile form a “golden channel” once price crosses above the Bollinger level. When this occurs, the Upper Std Dev Band remains gold until price dips back below the Bollinger Band. This visual cue reinforces trend strength.
Power‑Law Insights:
The Upper Power‑Law Band, which is based on extreme (95th percentile) returns, tends to align with the Upper Std Dev Band. This convergence reinforces that extreme, yet statistically expected, price moves are occurring—indicating that even though the price rides the 95th percentile, it can only stretch so far before a correction or consolidation.
Support Indicators:
Primary and Secondary Support in Uptrends:
The Upper Bollinger Band and the Lower Std Dev Band of the Upper Quantile act as support zones for minor retracements in the uptrend.
Absolute Support:
The Lower Std Dev Band of the Lower Quantile serves as an almost invariable support area under most market conditions.
Conclusion:
The Multi-Band Comparison indicator unifies advanced statistical techniques to offer a clear view of uptrend structure. In a healthy bull market, price action rides the 95th percentile line with precision, and when the Upper Bollinger Band is breached, the corresponding Upper Std Dev Band turns gold to form a “golden channel.” This, combined with the Power‑Law analysis that captures extreme moves, and the robust lower support levels, provides traders with powerful, multi-dimensional insights for managing entries, exits, and risk.
Disclaimer:
Trading involves risk. This indicator is for educational purposes only and does not constitute financial advice. Always perform your own analysis before making trading decisions.
