E³ ROC (slope): SMAsThis is a very powerful script for helping you understand the speed of moves. It measures the RATE OF CHANGE (ROC in %) of 5 key moving averages from the 10 to the 200. For example, a chart with a 200sma ROC of 0.3% usually corresponds to a faster moving asset (stock, crypto, etc) which likely also has a higher ATR and ADR%.
Additionally, the indicator shows you the maximum the slope has performed within the last 126 bars (6 months on a daily chart) (or period of your preference). This helps you understand what you could potentially expect from the asset.
For example, a 10sma which shows a max ROC of 1.5% on a chart with a 200sma max ROC of 0.3%, has therefore the potential for large bursts comparatively (5x the 200sma in this case) and helps you understand that the stock/asset has the potential for leaps and bounds.
For high-growth stock swing traders, a 200sma slope of 0.25% is a great minimum criteria, and having at least 5x for the max on the faster smas such as the 10 or 20 or even 50.
Interestingly, on a slow stock, such as NYSE:WMT (max 200sma = 0.18%), it can have runs of 0.78% as indicated by the max of the 10sma. This reading tells you that although it's a slower stock, it can act like a monster when it's got the heat.
Typically, a stock's ADR% is about 8x to 12x the max ROC of the 200sma (10x easy rule of thumb). So for traders who only like to trade high ADR% stocks, overlooking a stock like NYSE:WMT with a 1.5% ADR and a 200sma ROC of only 0.18% could be a mistake if you didn't notice that the 10sma and 20sma show MAX ROC runs of almost 0.8% (the equivalent of a 8% ADR& stock). So clearly in that situation, knowing all this would allow you to take a breakout or the likes on NYSE:WMT with the intention of capturing the High ROC shorter term run.
Bottom line: this insight is indispensable for short term swing traders, and this script likely has similarly profound use to day traders, FOREX traders, and crypto traders as well.
Being able to know the rate of change (slope) of price change on a stock across different speeds (MAs) allows you to better assess the potential for hidden or outright opportunity.
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Volatility
Mutanabby_AI __ OSC+ST+SQZMOMMutanabby_AI OSC+ST+SQZMOM: Multi-Component Trading Analysis Tool
Overview
The Mutanabby_AI OSC+ST+SQZMOM indicator combines three proven technical analysis components into a unified trading system, providing comprehensive market analysis through integrated oscillator signals, trend identification, and volatility assessment.
Core Components
Wave Trend Oscillator (OSC): Identifies overbought and oversold market conditions using exponential moving average calculations. Key threshold levels include overbought zones at 60 and 53, with oversold areas marked at -60 and -53. Crossover signals between the two oscillator lines generate entry opportunities, displayed as colored circles on the chart for easy identification.
Supertrend Indicator (ST): Determines overall market direction using Average True Range calculations with a 2.5 factor and 10-period ATR configuration. Green lines indicate confirmed uptrends while red lines signal downtrend conditions. The indicator automatically adapts to market volatility changes, providing reliable trend identification across different market environments.
Squeeze Momentum (SQZMOM): Compares Bollinger Bands with Keltner Channels to identify consolidation periods and potential breakout scenarios. Black squares indicate squeeze conditions representing low volatility periods, green triangles signal confirmed upward breakouts, and red triangles mark downward breakout confirmations.
Signal Generation Logic
Long Entry Conditions:
Green triangles from Squeeze Momentum component
Supertrend line transitioning to green
Bullish crossovers in Wave Trend Oscillator from oversold territory
Short Entry Conditions:
Red triangles from Squeeze Momentum component
Supertrend line transitioning to red
Bearish crossovers in Wave Trend Oscillator from overbought territory
Automated Risk Management
The indicator incorporates comprehensive risk management through ATR-based calculations. Stop losses are automatically positioned at 3x ATR distance from entry points, while three progressive take profit targets are established at 1x, 2x, and 3x ATR multiples respectively. All risk management levels are clearly displayed on the chart using colored lines and informative labels.
When trend direction changes, the system automatically clears previous risk levels and generates new calculations, ensuring all risk parameters remain current and relevant to existing market conditions.
Alert and Notification System
Comprehensive alert framework includes trend change notifications with complete trade setup details, squeeze release alerts for breakout opportunity identification, and trend weakness warnings for active position management. Alert messages contain specific trading pair information, timeframe specifications, and all relevant entry and exit level data.
Implementation Guidelines
Timeframe Selection: Higher timeframes including 4-hour and daily charts provide the most reliable signals for position trading strategies. One-hour charts demonstrate good performance for day trading applications, while 15-30 minute timeframes enable scalping approaches with enhanced risk management requirements.
Risk Management Integration: Limit individual trade risk to 1-2% of total capital using the automatically calculated stop loss levels for precise position sizing. Implement systematic profit-taking at each target level while adjusting stop loss positions to protect accumulated gains.
Market Volatility Adaptation: The indicator's ATR-based calculations automatically adjust to changing market volatility conditions. During high volatility periods, risk management levels appropriately widen, while low volatility conditions result in tighter risk parameters.
Optimization Techniques
Combine indicator signals with fundamental support and resistance level analysis for enhanced signal validation. Monitor volume patterns to confirm breakout strength, particularly when Squeeze Momentum signals develop. Maintain awareness of scheduled economic events that may influence market behavior independent of technical indicator signals.
The multi-component design provides internal signal confirmation through multiple alignment requirements, significantly reducing false signal occurrence while maintaining reasonable trade frequency for active trading strategies.
Technical Specifications
The Wave Trend Oscillator utilizes customizable channel length (default 10) and average length (default 21) parameters for optimal market sensitivity. Supertrend calculations employ ATR period of 10 with factor multiplier of 2.5 for balanced signal quality. Squeeze Momentum analysis uses Bollinger Band length of 20 periods with 2.0 multiplication factor, combined with Keltner Channel length of 20 periods and 1.5 multiplication factor.
Conclusion
The Mutanabby_AI OSC+ST+SQZMOM indicator provides a systematic approach to technical market analysis through the integration of proven oscillator, trend, and momentum components. Success requires thorough understanding of each element's functionality and disciplined implementation of proper risk management principles.
Practice with demo trading accounts before live implementation to develop familiarity with signal interpretation and trade management procedures. The indicator's systematic approach effectively reduces emotional decision-making while providing clear, objective guidelines for trade entry, management, and exit strategies across various market conditions.
EMA Squeeze Breakout/BreakdownThis TradingView PineScript indicator identifies potential bullish breakouts based on Exponential Moving Averages (EMAs) "squeezing" together, followed by a price surge with volume confirmation.
EMA Squeeze BreakoutEMA Squeeze Breakout Strategy Overview
This TradingView PineScript indicator identifies potential bullish breakouts based on Exponential Moving Averages (EMAs) "squeezing" together, followed by a price surge with volume confirmation.
UniStratV3 | QuantEdgeBUniversal Strategy V3 | QuantEdgeB
🔍 What is the Universal Strategy?
A dynamic, multi-engine trading framework engineered to adapt across asset classes, timeframes, and market conditions. It fuses multiple complementary signal engines into a single, unified decision model—automatically balancing speed, smoothness, momentum scoring, and breakout precision.
⚙️ Core Characteristics
• Multi-Engine Logic: Combines fast-reacting trend detection, adaptive smoothing, statistical momentum scoring, and volatility-normalized breakout confirmation.
• Modular Architecture: Each engine operates independently yet contributes to a unified signal index—allowing plug-and-play customization or replacement of individual components.
• Adaptive Thresholds: Dynamically adjusts trigger levels based on market volatility, percentile bands, or standard-deviation filters, ensuring robust performance in both quiet and turbulent conditions.
• Unified Signal Aggregation: Individual engine outputs (bullish/bearish) are averaged into a single trend, minimizing noise and reinforcing conviction.
🛠️ Construction & Structure
1. Signal Engines:
o Midline Cross Engines (RSI, Z-Score, ROC): Provide early directional cues by crossing their natural mid‐points.
o StDev Filters: Apply volatility bands around each raw engine to confirm only statistically significant moves.
o Normalized MA Engines: Transform simple, EMA, and ALMA moving averages into 0–1 signals via min/max normalization, capturing cross-asset momentum.
o Slope Engines: Combine base MA bands with normalized thresholds to detect breakouts validated by momentum direction.
o Wave/MACD Engines: Leverage classic MACD and a volume-adjusted wave oscillator to sense cyclical momentum extremes.
2. Aggregation Layers:
o Raw Score Layer: A straightforward average of +1/–1 from each engine subgroup.
o Filtered Score Layer: Applies standard-deviation filters to each engine’s raw value before re-scoring, reducing whipsaws.
o Composite Layer: Merges raw, filtered, normalized MA, slope, and wave scores into a final Trend Probability Index (TPI), which drives the long/short decision.
3. Visualization:
o Candles color-coded by final TPI sign.
o Mid- and threshold-lines (±0.34) denote trigger levels on the composite oscillator.
o Optional real-time tables display engine contributions, overall TPI, and backtest equity.
Each sub-input was selected and “meshed” to ensure no single engine dominates—fast modules flag initial trend, smoother modules confirm, filters refine, and normalization harmonizes scales so the final signal emerges as a balanced, multi-dimensional conviction score.
💡 Key Benefits
• Balance of Reactivity & Reliability: Fast-acting modules catch early trend shifts, while smoother, statistical layers confirm and filter false moves.
• Versatility Across Markets: Designed to work equally well in trending, range-bound, or high-volatility environments, and across equities, FX, commodities, and crypto.
• Customizable & Extensible: Users can tailor the number and type of engines, threshold methodologies, and signal-aggregation rules to match their style and risk tolerance.
• Transparency & Confidence: A real-time signal dashboard shows each engine’s contribution and the overall strategy, offering clear insight into what drives the strategy’s decisions.
📊 Generic Use Cases
1. Trend Capture
Identify and ride sustained directional moves with early-warning and confirmation engines.
2. Breakout Trading
Detect and validate volatility expansions while filtering out whipsaws.
3. Momentum Assessment
Quantify the strength behind price moves to distinguish fleeting spikes from genuine trends.
4. Cross-Asset Rotation
Apply the same framework to multiple symbols—allocating capital to the strongest opportunities.
📌 In Summary
The Universal Strategy V3 | QuantEdgeB is a framework, not a single indicator. By orchestrating diverse, forward-tested methodologies into one cohesive engine—and transparently combining their signals—it delivers adaptive precision, signal clarity, and robust performance—empowering traders to navigate any market environment with data-driven confidence.
🔹 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
TrendGradient [By TraderMan]TrendGradient Indicator: What It Does, How It Works, and How to Use It 📊✨
The **TrendGradient ** indicator is a Pine Script tool designed for the TradingView platform, assisting traders in trend analysis, generating buy/sell signals, and determining target price (TP) and stop-loss (SL) levels. In this guide, I’ll explain in detail what the indicator does, how it operates, how to use it, and strategies for opening positions. Get ready to dive into this colorful and powerful tool! 🚀
🌟 **What Is TrendGradient and What Does It Do?**
TrendGradient is an indicator that analyzes price movements to identify trend direction and strength while generating actionable buy and sell signals. Here are its core functions:
1. **Trend Tracking**: Uses 38-period and 62-period Exponential Moving Averages (EMAs) to determine the trend direction (bullish or bearish).
2. **Buy/Sell Signals**: Generates signals based on EMA crossovers and crossunders.
3. **Target and Stop Levels**: Calculates entry, take-profit (TP1, TP2, TP3), and stop-loss (SL) levels using the Average True Range (ATR).
4. **Volatility and Trend Analysis**: Visualizes volatility levels (low, medium, high) and trend strength (strong/weak) via ATR and EMA.
5. **Visual Clarity**: Provides a user-friendly interface with colored lines, labels, tables, and shapes.
This indicator is ideal for trend-following traders and can be used for both short-term (scalping/day trading) and long-term strategies. 📈
---
### 🛠️ **How Does TrendGradient Work?**
Let’s break down the indicator’s mechanics step by step:
#### 1. **EMA-Based Trend Analysis** 📉
- **EMA 38 and EMA 62**: The indicator uses 38-period and 62-period Exponential Moving Averages to smooth price data and identify trend direction.
- **EMA 38 > EMA 62**: Bullish trend (uptrend) 📈
- **EMA 38 < EMA 62**: Bearish trend (downtrend) 📉
- EMA crossovers trigger buy/sell signals:
- **Crossover (EMA 38 crosses above EMA 62)**: Buy signal (BUY).
- **Crossunder (EMA 38 crosses below EMA 62)**: Sell signal (SELL).
- The EMAs focus on the last 20 days of data to display recent trends only.
#### 2. **ATR-Based Levels** ⚖️
- **ATR (Average True Range)**: Measures price volatility and is used to calculate entry, TP, and SL levels.
- **Entry Price**: For buys, the closing price plus an ATR multiplier; for sells, the closing price minus an ATR multiplier.
- **Take-Profit Levels (TP1, TP2, TP3)**: Calculated by adding/subtracting ATR multiples (default: 2.0, 4.0, 6.0) to/from the entry price.
- **Stop-Loss (SL)**: Set at a distance from the entry price using an ATR multiplier (default: 2.0 + additional SL).
- These levels are visualized on the chart with colored lines (yellow: entry, green: TP1, teal: TP2, blue: TP3, red: SL) and labels.
#### 3. **Signal and Status Visualization** 🖼️
- **Lines and Labels**: Buy/sell signals are marked with green "BUY" and red "SELL" labels on the chart.
- **Table**: A table in the top-right corner summarizes signal status, entry/TP/SL levels, trend strength, volatility, and trend direction.
- **Color Coding**:
- Green: Bullish trend, buy signal, or TP achievements.
- Red: Bearish trend, sell signal, or SL triggered.
- Yellow, teal, blue: Entry and TP levels.
- **Bar Coloring**: Bars are colored green (bullish) or red (bearish) based on EMA alignment.
#### 4. **TP/SL Monitoring** ✅❌
- The indicator checks if the price hits TP or SL levels and displays labels like "✔️ TP Achieved" or "❌ SL Stopped Out."
- When a TP or SL is hit, the position status updates (e.g., "In Progress ⏳", "Successful ✅", or "Failed ❌").
#### 5. **Volatility and Trend Strength** 📊
- **Volatility (ATR)**: Classified as "Low" (red), "Medium" (orange), or "High" (green) based on the ATR’s position within its 50-bar range.
- **Trend Strength**: If EMA 38 > EMA 62, the trend is "Strong" (green); otherwise, it’s "Weak" (red).
---
### 📋 **How to Use TrendGradient?**
Follow these steps to effectively use TrendGradient:
#### 1. **Add the Indicator to TradingView** 🖥️
- In TradingView, search for "TrendGradient " in the **Indicators** menu and add it to your chart.
- Use default settings or customize parameters like ATR period, multipliers, and display duration (default: 20 days) in the **Settings** menu.
#### 2. **Identify Signals** 🔍
- **Buy Signal (BUY)**: Appears when a green "BUY" label is displayed and EMA 38 crosses above EMA 62.
- **Sell Signal (SELL)**: Appears when a red "SELL" label is displayed and EMA 38 crosses below EMA 62.
- Check the top-right table for signal status ("BUY", "SELL", or "-") and position levels (Entry, TP1, TP2, TP3, SL).
#### 3. **Opening a Position** 🚪
- **Long Position (Buy)**:
1. When a "BUY" signal appears, check the entry price (yellow line).
2. Open a position at or near the entry price.
3. Set TP1, TP2, TP3 (green, teal, blue lines) and SL (red line) as targets/stops.
- **Short Position (Sell)**:
1. When a "SELL" signal appears, check the entry price.
2. Open a position at or near the entry price.
3. Use TP and SL levels as targets/stops.
- **Note**: ATR-based levels adjust dynamically to market volatility, ensuring adaptability.
#### 4. **Position Management** 🛡️
- **Take-Profit (TP)**: Realize profits when the price hits TP1, TP2, or TP3. For example, close part of the position at TP1 and hold the rest for TP2/TP3.
- **Stop-Loss (SL)**: Close the position if the price hits the SL level ("❌ SL Stopped Out" appears).
- **Partial Closes**: Use multiple TP levels to scale out of positions incrementally.
#### 5. **Trend and Volatility Analysis** 📊
- **Trend Direction and Strength**: The table shows whether the trend is "Up" or "Down" and its strength ("Strong" or "Weak"). Strong trends may warrant more aggressive positions.
- **Volatility**: ATR-based volatility indicators help gauge market conditions. High volatility (green) suggests larger price moves, while low volatility (red) indicates calmer markets.
#### 6. **Risk Management** ⚠️
- Always use the SL level and assess the risk/reward ratio (e.g., 2:1 for TP1, 4:1 for TP2).
- In low volatility (red), consider smaller positions; in high volatility (green), expect larger moves.
---
### 🛠️ **Example Position Opening Scenario**
**Scenario: Long Position**
- **Situation**: EMA 38 crosses above EMA 62, and a green "BUY" label appears.
- **Entry Price**: 100 (yellow line).
- **TP Levels**: TP1: 104, TP2: 108, TP3: 112.
- **SL Level**: 96.
- **Strategy**:
1. Open a long position at 100.
2. Close 50% of the position at TP1 (104), hold the rest for TP2 (108) or TP3 (112).
3. Exit fully if the price hits SL (96).
- **Table Status**: "Signal: BUY", "Position Status: In Progress ⏳", "Trend Strength: Strong", "Volatility: High".
**Scenario: Short Position**
- **Situation**: EMA 38 crosses below EMA 62, and a red "SELL" label appears.
- **Entry Price**: 100.
- **TP Levels**: TP1: 96, TP2: 92, TP3: 88.
- **SL Level**: 104.
- **Strategy**: Manage the position similarly, scaling out at TP levels.
---
### 💡 **Tips and Suggestions**
1. **Timeframe**: The indicator works across timeframes (1H, 4H, daily). Short-term traders can use 1H-4H, while long-term traders may prefer daily charts.
2. **Combine with Other Indicators**: Use RSI, MACD, or support/resistance levels to confirm signals.
3. **Backtesting**: Test the strategy on historical data to evaluate performance.
4. **Customization**: Adjust ATR multipliers or EMA periods to suit your market or strategy.
5. **Discipline**: Stick to signals and avoid emotional decisions.
---
### 🎨 **Visual Features**
- **Colored Lines and Labels**: Entry, TP, and SL levels are displayed with colored lines (yellow, green, teal, blue, red) for clarity.
- **Table**: The top-right table summarizes all key information (signal, levels, trend, volatility).
- **Bar Coloring**: Green bars for bullish trends and red bars for bearish trends make trend direction easy to spot.
- **Emojis**: Position status is enhanced with emojis like ⏳ (in progress), ✅ (successful), and ❌ (failed) for visual appeal.
---
### ⚠️ **Warnings and Limitations**
- **Market Conditions**: The indicator performs best in trending markets; it may produce false signals in ranging markets.
- **Risk Management**: Always use proper risk/reward ratios and risk only a small portion of your capital.
- **Lag**: EMAs are lagging indicators, so signals may be delayed in fast-moving markets.
- **Customization Needs**: Default settings may not suit all markets; test and optimize as needed.
---
### 🌟 **Conclusion**
TrendGradient is a user-friendly, visually appealing indicator for trend tracking and automated level calculation. It generates signals via EMA crossovers, calculates dynamic TP/SL levels with ATR, and presents all information clearly through tables, lines, and labels. By using this tool with discipline, you can make more informed and successful trading decisions! 🚀
If you have further questions or need help customizing the indicator, feel free to ask! 💬 Good luck and happy trading! 🍀
Sniper Divergence M.AtaogluSNIPER DIVERGENCE PRO - ADVANCED MULTI-TIMEFRAME DIVERGENCE DETECTOR
DESCRIPTION:
Sniper Divergence Pro is a sophisticated technical analysis indicator that combines RSI-based calculations with fractal analysis to detect both regular and hidden divergences across multiple timeframes. This advanced tool provides traders with precise entry and exit signals through its innovative Sniper algorithm and comprehensive visual feedback system.
KEY FEATURES:
1. SNIPER ALGORITHM:
- Custom RSI-based oscillator with fractal peak/valley detection
- Uses Relative Moving Average (RMA) for smooth signal generation
- Calculates momentum changes with mathematical precision
- Provides real-time divergence analysis with minimal lag
2. DIVERGENCE DETECTION:
- Regular Bullish Divergence: Price makes lower lows while indicator makes higher lows
- Regular Bearish Divergence: Price makes higher highs while indicator makes lower highs
- Hidden Bullish Divergence: Price makes higher lows while indicator makes lower lows
- Hidden Bearish Divergence: Price makes lower highs while indicator makes higher highs
- Configurable sensitivity levels for both bullish and bearish signals
3. MULTI-TIMEFRAME ANALYSIS:
- Simultaneous analysis across 6 timeframes: 15m, 45m, 4h, 1D, 1W, 1M
- Real-time signal tracking with "bars ago" information
- Comprehensive signal table showing current status across all timeframes
- Sniper value display for each timeframe for trend confirmation
4. VISUAL ENHANCEMENTS:
- Neon color scheme optimized for dark themes
- Dynamic color-coded Sniper line based on market conditions
- Background fill areas for overbought/oversold zones
- Peak and valley point markers for fractal analysis
- Horizontal reference lines with clear level indicators
5. ALERT SYSTEM:
- Four distinct alert conditions for different signal types
- Real-time notification system for immediate signal detection
- Professional-grade alert messages for trading automation
TECHNICAL SPECIFICATIONS:
CALCULATION METHOD:
The indicator uses a modified RSI calculation with fractal analysis:
- Source: Close price (configurable)
- Period: 21 (default, adjustable 1-1000)
- Algorithm: RMA-based momentum calculation with fractal peak/valley detection
- Divergence Logic: Price vs. indicator comparison using fractal points
SIGNAL LEVELS:
- Super Buy Zone: 0-12 (Strong bullish momentum)
- Strong Buy Zone: 12-20 (Moderate bullish momentum)
- Neutral Lower: 20-30 (Weak bullish to neutral)
- Neutral Upper: 30-40 (Weak bearish to neutral)
- Strong Sell Zone: 40-50 (Moderate bearish momentum)
- Super Sell Zone: 50+ (Strong bearish momentum)
DIVERGENCE SETTINGS:
- Bullish Divergence Level: 12 (Minimum level for detection)
- Bearish Divergence Level: 35 (Maximum level for detection)
- Hidden Divergence: Enabled by default for professional signals
USAGE INSTRUCTIONS:
1. BASIC SETUP:
- Apply to any chart timeframe
- Default settings work well for most markets
- Adjust RSI period for different market conditions
2. SIGNAL INTERPRETATION:
- Green triangles: Bullish divergence signals (buy opportunities)
- Red triangles: Bearish divergence signals (sell opportunities)
- X-cross symbols: Hidden divergence signals (stronger signals)
- Circle markers: Fractal peak/valley points
3. MULTI-TIMEFRAME CONFIRMATION:
- Enable signal table for comprehensive analysis
- Look for signal alignment across multiple timeframes
- Use "NOW" indicators for current signal detection
- Monitor Sniper values for trend confirmation
4. RISK MANAGEMENT:
- Use divergences as confirmation, not standalone signals
- Combine with other technical analysis tools
- Set appropriate stop-loss levels
- Consider market context and volatility
ADVANTAGES:
1. ACCURACY: Fractal-based detection reduces false signals
2. VERSATILITY: Works across all market types and timeframes
3. VISIBILITY: Clear visual feedback with neon color scheme
4. COMPREHENSIVE: Multi-timeframe analysis in single indicator
5. PROFESSIONAL: Advanced algorithms suitable for serious traders
6. CUSTOMIZABLE: Extensive parameter adjustment options
LIMITATIONS:
1. LAG: Higher RSI periods may introduce signal delay
2. FALSE SIGNALS: Market noise can generate occasional false positives
3. CONTEXT DEPENDENT: Requires market condition consideration
4. LEARNING CURVE: Advanced features require understanding
RECOMMENDED MARKETS:
- Forex pairs (all timeframes)
- Cryptocurrencies (4h and daily preferred)
- Stock indices (daily and weekly)
- Commodities (4h and daily)
RISK DISCLAIMER:
This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management. Trading involves substantial risk of loss and is not suitable for all investors.
TECHNICAL REQUIREMENTS:
- TradingView Pro or higher recommended
- Pine Script v6 compatible
- Stable internet connection for real-time data
- Sufficient chart history for accurate calculations
This indicator represents a significant advancement in divergence detection technology, combining traditional RSI concepts with modern fractal analysis to provide traders with a comprehensive tool for identifying high-probability trading opportunities across multiple timeframes.
GOLD SCALPER SESSIONS - By The Homerun SeriesThis zones should be used to turn on/off your gold scalper, for access to our gold scalper please dm the author or @_theindiantrader_ on instagram
Simple VIDYA Smooth | QuantEdgeBSimple VIDYA Smooth (SVS) | QuantEdgeB
🔍 What Is Simple VIDYA Smooth?
SVS is a smoothed, volatility-adaptive trend filter that blends a Gaussian-pre-filtered, low-lag moving average with dynamic standard-deviation bands. It identifies trends by measuring when price moves decisively above or below a normalized VIDYA (Variable Index Dynamic Average) baseline—filtering out noise and adapting to changing market turbulence.
⚙️ Core Components
1. DEMA Pre-Filter
o A double-EMA smoothing to reduce initial noise before further processing.
2. Gaussian Smoothing
o Applies a small-kernel Gaussian filter to produce a cleaner input series that suppresses rapid spikes.
3. VIDYA Adaptive Average
o Computes a dynamic EMA whose smoothing constant adjusts according to the ratio of short- and long-term standard deviations—making it inherently responsive in volatile times and smooth in calmer periods.
4. Volatility Bands
o Surrounds the VIDYA line with ±N×SD bands (separate multipliers for upper and lower) to capture current market volatility, yielding dynamic thresholds for trend detection.
5. Trend Signal
o Generates a “long” when price closes above the upper band, a “short” when it closes below the lower band, otherwise stays neutral.
💡 Why It’s Special
• Adaptive Responsiveness: VIDYA’s volatility-weighted smoothing constant speeds up trend recognition in choppy markets and slows in quiet ones, avoiding whipsaws.
• Multi-Stage Filtering: The DEMA→Gaussian→VIDYA sequence ensures both rapid noise suppression and flexible trend adaptation.
• Asymmetric Bands: Separate multipliers for the upper and lower volatility bands let you fine-tune sensitivity to bullish versus bearish impulses.
• Visual Clarity: Color-coded candles and filled bands highlight trending phases at a glance, while backtest tables quantify performance.
📊 Backtest Mode
AVBO includes an optional backtest table, enabling traders to assess its historical effectiveness before applying it in live trading conditions.
🔹 Backtest Metrics Displayed:
• Equity Max Drawdown → Largest historical loss from peak equity.
• Profit Factor → Ratio of total profits to total losses, measuring system efficiency.
• Sharpe Ratio → Assesses risk-adjusted return performance.
• Sortino Ratio → Focuses on downside risk-adjusted returns.
• Omega Ratio → Evaluates return consistency & performance asymmetry.
• Half Kelly → Optimal position sizing based on risk/reward analysis.
• Total Trades & Win Rate → Assess historical success rate.
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📌 Disclaimer:
Backtest results are based on past performance and do not guarantee future success. Always incorporate real-time validation and risk management in live trading.
💼 Ideal Use Cases
• Trend Identification: Pinpoint reliable trend starts and exits in stocks, FX, or crypto—minimizing lag and false breakouts.
• Volatility Regimes: Automatically adjust to quiet vs. explosive markets—no manual parameter tweaks needed.
• Multitimeframe Alignment: Use SVS on multiple timeframes to confirm trend direction before entering positions.
• System Building Block: Embed SVS as a robust, adaptive filter within larger strategies (e.g., to trigger entries or to validate signals from other indicators).
🎨 Default Configuration
• DEMA Length: 7
• Gaussian Kernel: length = 4, sigma = 2.0
• VIDYA Lengths: fast = 9, slow = 24 (or use presets Set1–Set4)
• Volatility Bands: SD length = 40
📌 In Summary
Simple VIDYA Smooth | QuantEdgeB is an adaptive trend-filtering indicator that layers multiple noise-suppressing and volatility-adjusting techniques to deliver clear, reliable trend signals. By marrying DEMA, Gaussian filtering, VIDYA’s volatility-driven smoothing, and dynamic SD bands, SVS excels at separating genuine directional moves from market noise—across any asset or timeframe.
🔹 Disclaimer: Past performance is not indicative of future results. Always backtest and align AVBO’s settings with your risk tolerance and market objectives before live trading.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
ICT Assistance TYHE42█ Overview
ICT Assistant Tye42 is a complete indicator built for Smart Money Concepts (SMC) and ICT-based trading strategies, offering a clear, stable, and real-time view of key market levels.
This all-in-one tool includes several essential features used by professional traders:
Fair Value Gaps (FVG) detected in real-time
EQH (Equal Highs) and EQL (Equal Lows) auto-detected
Previous Highs & Lows (Daily, Weekly, Monthly)
Killzones (Asian Range, London Open, New York Open, London Close)
Daily Open Line
Every module is fully customizable (color, opacity, timezone, toggle on/off), allowing traders to tailor the indicator to their strategy, style, and chart theme.
Designed for traders focused on market structure, liquidity, and imbalances, this script emphasizes clarity, responsiveness, and visual efficiency — without cluttering your chart.
█ How It Works
🔍 Automatic detection of key price action elements:
Fair Value Gaps (FVG): identified based on ICT logic (imbalance between the current candle and the one two candles back)
EQH/EQL: spots equal highs and lows as potential liquidity zones
Previous Highs & Lows: automatically plots highs and lows from previous sessions (Daily, Weekly, Monthly)
Killzones: highlights key time-based volatility zones depending on your selected timezone
Daily Open Line: shows the daily open level to help frame the trading session
█ How to Use
Use FVGs and EQH/EQL as potential imbalance or liquidity signals
Combine with Killzones to identify moments of high volatility
Monitor Previous Highs & Lows for potential stop hunts or reaction areas
Works on all timeframes – ideal for intraday and swing trading
█ Settings
Custom colors & opacity for each module
Adjustable timezone for precise session alignment
Individual on/off toggles for a clean and tailored display
█ What Makes It Unique
Unlike other ICT indicators that overload charts with visuals, ICT Assistant Tye42 follows a minimalist, clean, and efficient approach, while combining all key tools in one script.
Built for traders who want to focus on what matters most — market structure, liquidity, and institutional price behavior — this tool provides everything you need in a sleek package.
⚠️ Disclaimer
This script is for educational purposes only and does not constitute financial advice. Use at your own risk. No refunds or liabilities provided.
Tempo V | QuantEdgeB📊 Tempo V | QuantEdgeB
🔍 What is Tempo V?
Tempo V by QuantEdgeB is a volatility resonance framework that fuses multiple volatility models into a single adaptive signal. It acts like a seismograph for market energy, detecting shifts in pressure, flow, and agitation before they erupt into full-blown volatility waves.
Rather than just measure price range, Tempo V decodes the texture of volatility — layering Z-Score logic over 7 elite volatility and energy signals to create a unified tempo pulse.
💡 Think of Tempo V as your market EQ meter, identifying when price is humming calmly or vibrating toward breakout chaos.
⚙️ Core Components
✅ Multi-Model Volatility Stack
Tempo V blends the most statistically robust volatility estimators:
• IMI – Measures price "thrust" or intraday initiation.
• RVI – Detects directional volatility flow.
• ATR – True range of price breathing.
• Rogers-Satchell – Captures variance with directional drift.
• Parkinson – Focuses on high–low spread efficiency.
• Yang-Zhang – A hybrid volatility estimator ideal for crypto assets.
• Garman-Klass – Captures OHLC variance with tight math.
Each signal is z-scored, scaled, and dynamically smoothed into a composite value — the aggZ.
✅ Z-Blend Aggregation
• aggZ = The heartbeat of Tempo V — a weighted blend of all enabled signals.
• It’s like a volatility weather report: positive means upside risk building, negative means downside storm clouds.
✅ Adaptive EMA Trendline
• Tempo V includes a dynamically responsive trendline that changes pace depending on market tempo.
• This tracks the momentum of volatility, not price — a major edge in fast-moving environments.
🎯 Signal & Stage Interpretation
🧭 Z-Score Based Stage Labels
At every candle, Tempo V identifies the current volatility stage:
1.Value ≥ +1.25 ==> 🔺 High Upside Volatility
2.Value +0.5 to +1.25 ==> ⚡ Volatile-Up Phase
3.Value -0.5 to +0.5 ==> ⏸️ Stable Range / Balance
4.Value -1.25 to -0.5 ==> ⚠️ Volatile-Down Phase
5.Value ≤ -1.25 ==> 🔻 High Downside Volatility
These insights allow you to act preemptively on upcoming breakouts, fades, or quiet zones.
🖼️ Visual Overlay Engine
• Column Chart – aggZ plotted as a histogram, easily trackable.
• Trend Line – Responsive smoothing that visualizes volatility shift.
• Background Color Zones – Highlighting extreme tempo levels.
• Bar Coloring (Optional) – Syncs chart bars with volatility phase.
🧠 Why Use Tempo V?
Tempo V is designed for traders who want to:
• Detect volatility pressure before price erupts
• Combine multiple models into one actionable score
• Visualize tempo stages without overwhelming charts
• Spot shifts in energy, flow, and agitation — not just direction
💼 Ideal Use Cases
• Breakout Traders: Anticipate volatility surges
• Mean-Reversion Setups: Fade extremes after tempo climax
• Options Traders: Identify implied volatility zones visually
• Trend Traders: Use rising aggZ as confirmation of commitment
🧬 Default Settings
• Z-Score Length: 45
• Smooth Length: 5
• Active Models: All 7 enabled by default
• Upper/Lower Bounds: ±1.25
🧬 In Summary
Tempo V | QuantEdgeB is not just a volatility measure — it’s a volatility intelligence framework, distilling 7 elite metrics into one real-time pulse of market agitation.
It’s smart, fast, and narrates market rhythm so you can trade with anticipation instead of reaction.
📌 Navigate the Pulse of Volatility | Powered by QuantEdgeB
🔹 Disclaimer: Past performance is not indicative of future results.
🔹 Strategic Advice: Always tune the z-lengths and smoothing to fit your asset and timeframe volatility. Backtest thoroughly.
IB with Range PercentageThis Pine Script indicator for TradingView combines several powerful technical analysis tools to give traders a comprehensive view of market action:
Inside Bar Detection: Identifies the classic inside bar candlestick pattern.
Moving Averages: Provides multiple moving averages to help determine trend and potential support/resistance levels.
Information Table: Displays key market data in a concise table format.
1. Inside Bar Detection and Range
The indicator marks inside bars on the chart. An inside bar is a candlestick where its entire range (high and low) falls within the range of the preceding candlestick (often called the "mother bar"). This pattern often signifies market consolidation or indecision.
Customizable Marking: Users can choose the shape and color used to mark the inside bars, such as triangles, squares, or circles.
Range Percentage: A label shows the range of the inside bar as a percentage of the previous bar's low, providing a quantitative measure of its size.
Time Restriction: A setting allows displaying inside bars only for a specified number of past days, focusing analysis on recent price action.
Customizable Label Size: Users can choose the size of the range percentage label for optimal visibility.
2. Moving Averages for Trend Analysis
The indicator can plot up to four moving averages (MAs) on the chart. Moving averages smooth out price data to help identify trends and potential support and resistance levels.
User-Selectable MA Type: For each MA, traders can choose between Simple Moving Average (SMA) or Exponential Moving Average (EMA).
Customizable Length: Users can specify the length (number of periods) for each MA, such as 20, 50, 100, or 200.
Customizable Color: Each MA's line color can be chosen to suit personal preferences.
Trend Identification: When the price is above an MA, it suggests an uptrend, while prices below suggest a downtrend. The slope of the MA also indicates trend momentum.
3. Information Table for Key Data
A customizable information table is displayed on the chart, providing a quick overview of important market data.
Average Daily Range (ADR) Percentage: Shows the average daily range of the asset as a percentage, reflecting its historical volatility.
Distance from EMAs: Displays how far the current price is from the 10, 20, and 50 period Exponential Moving Averages. A positive percentage indicates the price is above the MA, while a negative percentage means it's below.
Customizable Table Elements: Users can choose the table's background color, text color, and text size for optimal readability.
How to Use This Indicator:
This indicator can be a valuable tool for traders using technical analysis:
Inside Bar Breakouts: Inside bars often precede breakouts. Traders can use the inside bar markings and range percentage to identify potential breakout opportunities.
Confirmation of Trends: Moving averages help confirm the direction of the trend, enabling traders to align their inside bar strategies with the prevailing market direction.
Support and Resistance: Moving averages can act as dynamic support and resistance levels. Traders can look for inside bars forming near these levels as potential entry or exit points.
Volatility and Range Analysis: The ADR percentage helps assess the normal daily range of an asset, which can be useful for setting realistic price targets and managing risk.
Risk Management: The distance from EMAs can alert traders to potential overextended moves, providing information for setting stop-loss or take-profit levels.
By combining these elements, this indicator provides a layered approach to market analysis, allowing traders to identify potential trading opportunities and manage risk effectively based on both candlestick patterns and trend-following indicators. Remember that no indicator guarantees success, and it's essential to use this tool in conjunction with other analysis techniques and proper risk management practices.
EMA 9/21 Crossover Alert (BerryRight)This indicator gives entry signals through EMA crossover and the gives the opportunity to set up alerts. I will update this indicator with exits in the future. it's written in Pinesctipt v5
Squeeze Momentum Regression Clouds [SciQua]╭──────────────────────────────────────────────╮
☁️ Squeeze Momentum Regression Clouds
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🔍 Overview
The Squeeze Momentum Regression Clouds (SMRC) indicator is a powerful visual tool for identifying price compression , trend strength , and slope momentum using multiple layers of linear regression Clouds. Designed to extend the classic squeeze framework, this indicator captures the behavior of price through dynamic slope detection, percentile-based spread analytics, and an optional UI for trend inspection — across up to four customizable regression Clouds .
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⚙️ Core Features
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Up to 4 Regression Clouds – Each Cloud is created from a top and bottom linear regression line over a configurable lookback window.
Slope Detection Engine – Identifies whether each band is rising, falling, or flat based on slope-to-ATR thresholds.
Spread Compression Heatmap – Highlights compressed zones using yellow intensity, derived from historical spread analysis.
Composite Trend Scoring – Aggregates directional signals from each Cloud using your chosen weighting model.
Color-Coded Candles – Optional candle coloring reflects the real-time composite score.
UI Table – A toggleable info table shows slopes, compression levels, percentile ranks, and direction scores for each Cloud.
Gradient Cloud Styling – Apply gradient coloring from Cloud 1 to Cloud 4 for visual slope intensity.
Weight Aggregation Options – Use equal weighting, inverse-length weighting, or max pooling across Clouds to determine composite trend strength.
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🧪 How to Use the Indicator
1. Understand Trend Bias with Cloud Colors
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Each Cloud changes color based on its current slope:
Green indicates a rising trend.
Red indicates a falling trend.
Gray indicates a flat slope — often seen during chop or transitions.
Cloud 1 typically reflects short-term structure, while Cloud 4 represents long-term directional bias. Watch for multi-Cloud alignment — when all Clouds are green or red, the trend is strong. Divergence among Clouds often signals a potential shift.
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2. Use Compression Heat to Anticipate Breakouts
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The space between each Cloud’s top and bottom regression lines is measured, normalized, and analyzed over time. When this spread tightens relative to its history, the script highlights the band with a yellow compression glow .
This visual cue helps identify squeeze zones before volatility expands. If you see compression paired with a changing slope color (e.g., gray to green), this may indicate an impending breakout.
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3. Leverage the Optional Table UI
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The indicator includes a dynamic, floating table that displays real-time metrics per Cloud. These include:
Slope direction and value , with historical Min/Max reference.
Top and Bottom percentile ranks , showing how price sits within the Cloud range.
Current spread width , compared to its historical norms.
Composite score , which blends trend, slope, and compression for that Cloud.
You can customize the table’s position, theme, transparency, and whether to show a combined summary score in the header.
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4. Analyze Candle Color for Composite Signals
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When enabled, the indicator colors candles based on a weighted composite score. This score factors in:
The signed slope of each Cloud (up, down, or flat)
The percentile pressure from the top and bottom bands
The degree of spread compression
Expect green candles in bullish trend phases, red candles during bearish regimes, and gray candles in mixed or low-conviction zones.
Candle coloring provides a visual shorthand for market conditions , useful for intraday scanning or historical backtesting.
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🧰 Configuration Guidance
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To tailor the indicator to your strategy:
Use Cloud lengths like 21, 34, 55, and 89 for a balanced multi-timeframe view.
Adjust the slope threshold (default 0.05) to control how sensitive the trend coloring is.
Set the spread floor (e.g., 0.15) to tune when compression is detected and visualized.
Choose your weighting style : Inverse Length (favor faster bands), Equal, or Max Pooling (most aggressive).
Set composite weights to emphasize trend slope, percentile bias, or compression—depending on your market edge.
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✅ Best Practices
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Use aligned Cloud colors across all bands to confirm trend conviction.
Combine slope direction with compression glow for early breakout entry setups.
In choppy markets, watch for Clouds 1 and 2 turning flat while Clouds 3 and 4 remain directional — a sign of potential trend exhaustion or consolidation.
Keep the table enabled during backtesting to manually evaluate how each Cloud behaved during price turns and consolidations.
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📌 License & Usage Terms
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This script is provided under the Creative Commons Attribution-NonCommercial 4.0 International License .
✅ You are allowed to:
Use this script for personal or educational purposes
Study, learn, and adapt it for your own non-commercial strategies
❌ You are not allowed to:
Resell or redistribute the script without permission
Use it inside any paid product or service
Republish without giving clear attribution to the original author
For commercial licensing , private customization, or collaborations, please contact Joshua Danford directly.
Smart Trend Signals [QuantAlgo]🟢 Overview
The Smart Trend Signals indicator is created to address a fundamental challenge in technical analysis: generating timely trend signals while adapting to varying market volatility conditions. The indicator distinguishes itself by employing volatility-adjusted calculations that automatically modify signal sensitivity based on current market conditions, rather than using fixed parameters that perform inconsistently across different market environments. By processing Long and Short signals through separate dynamic calculation engines, each optimized for its respective directional bias, the indicator reduces the common issue of delayed or conflicting signals that plague many traditional trend-following tools. Additionally, the integration of linear regression-based trend confirmation adds another layer of signal validation, helping to filter market noise while maintaining responsiveness to genuine price movements. This adaptive approach makes the indicator practical for both traders and investors across different asset classes and timeframes, from short-term forex/crypto scalping to long-term equity position analysis.
🟢 How It Works
The indicator uses a straightforward calculation process that combines volatility measurement with momentum detection to generate directional signals. The system first calculates Average True Range (ATR) over a user-defined period to measure current market volatility. This ATR value is then multiplied by the Smart Trend Multiplier setting to create dynamic reference levels that expand during volatile periods and contract during calmer market conditions.
For signal generation, the indicator maintains separate calculation paths for Long/Buy and Short/Sell opportunities. Long signals are generated when price moves above a dynamically calculated level below the current price, confirmed by an exponential moving average crossover in the same direction. Short signals work in reverse, triggering when price moves below a calculated level above the current price, also requiring EMA confirmation. This dual-path approach allows each signal type to operate with parameters suited to its directional bias.
🟢 How to Use
Long Signals (Green Labels): Appear as "Long" labels below price bars when the indicator detects upward price momentum above the calculated reference level, confirmed by EMA crossover. These signals identify moments when price action demonstrates bullish characteristics based on the volatility-adjusted calculations.
Short Signals (Red Labels): Display as "Short" labels above price bars when downward price momentum below the reference level is detected and confirmed by EMA crossover. These signals highlight instances where price action exhibits bearish characteristics according to the indicator's mathematical framework.
Customizable Bar Coloring: This feature colors individual price bars to match the current signal direction. When enabled, each bar reflects the indicator's current directional bias, creating a continuous visual representation of trend periods across the chart timeline.
Built-in Alert System: Provides automatic notifications for new signals with detailed exchange and ticker information. The alert system monitors the indicator's calculations continuously and triggers notifications when new long or short signals are generated, allowing traders/investors to track multiple instruments simultaneously.
🟢 Pro Tips for Trading and Investing
→ Parameter Adjustment: Higher Smart Trend Multiplier settings generate fewer signals that may be more selective, while lower settings produce more frequent signals that may include more false positives. Test different settings to find what works for your trading style and market conditions.
→ Timeframe Analysis: Using higher timeframes for general trend direction and lower timeframes for entry timing is a common approach.
→ Risk Management: No indicator eliminates the need for proper risk management. Use appropriate position sizing and stop-loss strategies regardless of signal quality or frequency.
→ Market Conditions: The indicator may perform differently in trending versus ranging markets. Frequent signal changes might indicate choppy conditions. Backtest and paper trade before risking real capital.
Trend State ADX-DI v6This indicator combines the classic ADX (Average Directional Index) and DI+ / DI– (Directional Indicators) with a modern, easy-to-read visual approach. It highlights trend strength and direction directly on your chart background:
✅ Bullish Trend – DI+ crosses above DI– with ADX above threshold
✅ Bearish Trend – DI– crosses above DI+ with ADX above threshold
✅ Choppiness – ADX below threshold, indicating sideways or weak trend
✅ Transition – Optional highlight for periods near the threshold, signaling a potential trend change
Plots for ADX, DI+, and DI– help you track trend momentum, while customizable background colors make it easy to spot trading conditions at a glance. Alerts included for bullish and bearish trend signals.
Perfect for day traders and swing traders looking to identify strong directional moves and avoid choppy markets.
Created by ThomasO_777, updated for Pine Script v6 by ChatGPT.
Fibonacci Blended and Volume Flow (VFI) by富东 Fibonacci times period claude atr /etc
new blend between fibonacci vfi
Target in ATR by G.I.N.e TradingTarget in ATR (Bar View)
🧭 Purpose:
This indicator visualizes the target level for a trade as a percentage of the ATR (Average True Range). It is designed to help traders adapt their profit-taking logic to current market volatility.
Features:
ATR-based dynamic target: Automatically adjusts to market volatility
Color-coded bars to visually represent volatility regimes:
🟢 Green → High volatility (Target > ATR) → Ideal for trailing stops
🟠 Orange → Moderate volatility (Target between 0.5×ATR and ATR) → Good for fixed targets
🔴 Red → Low volatility (Target < 0.5×ATR) → Consider avoiding trades
Optional line plot to show current target value as a continuous line
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.
Quantum Range Filter by MRKcoin### Quantum Range Filter by MRKcoin
**Overview**
This indicator is a sophisticated range detection tool designed based on the principles of quantitative multi-factor models. Instead of relying on a single condition, it assesses the market from three different dimensions to provide a more robust and reliable identification of range-bound (sideways) markets.
When the background is highlighted in red, it indicates that the market is likely in a range phase, suggesting that trend-following strategies may be less effective, and mean-reversion (range trading) strategies could be more suitable.
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**Core Logic: A Multi-Factor Approach**
The filter evaluates the market state using the following three independent factors:
1. **Momentum Volatility (RSI Bollinger Bandwidth):**
* **Question:** Is the momentum of the market contracting?
* **Method:** It measures the width of the Bollinger Bands applied to the RSI. A narrow bandwidth suggests that momentum is consolidating, which is a common characteristic of a range market.
2. **Price Volatility (ATR Ratio):**
* **Question:** Is the actual price movement shrinking?
* **Method:** It calculates the Average True Range (ATR) as a percentage of the closing price. A low ratio indicates that the price volatility itself is low, reinforcing the case for a range environment.
3. **Absence of Trend (ADX):**
* **Question:** Is there a lack of a clear directional trend?
* **Method:** It uses the Average Directional Index (ADX), a standard tool for measuring trend strength. A low ADX value provides active confirmation that the market is not in a trending phase.
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**How to Use**
1. **Range Detection:** The primary use is to identify ranging markets. The red highlighted background serves as a visual cue.
2. **Strategy Selection:**
* **Inside the Red Zone:** Consider using range-trading strategies (e.g., buying at support, selling at resistance, using oscillators like RSI or Stochastics for overbought/oversold signals). Avoid using trend-following indicators like moving average crossovers, as they are prone to generating false signals in these conditions.
* **Outside the Red Zone:** The market is likely trending. Trend-following strategies are more appropriate.
3. **Parameter Tuning (In Settings):**
* **This is the key to adapting the filter to any market or timeframe.** Different assets (like BTC vs. ETH) and different timeframes have unique volatility characteristics. Don't hesitate to adjust the parameters to fit the specific chart you are analyzing.
* **Range Detection Score:** This is the most important setting. It determines how many of the three factors must agree to classify the market as a range. The default is `2`, which provides a good balance.
* If the filter seems **too sensitive** (highlighting too often), increase the score to `3`.
* If the filter seems **not sensitive enough** (missing obvious ranges), decrease the score to `1`.
* **Factor Thresholds:** For fine-tuning, adjust the thresholds for each factor.
* **`RSI BB Width Threshold`:** If you want to detect even tighter momentum consolidations, *decrease* this value.
* **`ATR Ratio Threshold`:** If you want to be stricter about price volatility, *decrease* this value.
* **`ADX Threshold`:** To be more lenient on what constitutes a "trendless" market, *increase* this value (e.g., to 30). To be stricter, *decrease* it (e.g., to 20).
* **Pro Tip:** Use the Debug Table (uncomment it in the script's code) to see the live values of each factor. This will give you a clear idea of how to set the thresholds for the specific asset you are trading.
**Disclaimer**
This indicator is a tool to assist in market analysis and should not be used as a standalone signal for making financial decisions. Always use it in conjunction with your own trading strategy, risk management, and analysis. Past performance is not indicative of future results.
**Credits**
* **Concept & Vision:** MRKcoin
Linear SD BandsThis powerful trend following volatility indicator combines a linear regression with Standard Deviation bands.
It's designed to catch clear trends without having too much false signals along the way
Disclaimer :
This indicator does not constitute financial advice, investing is a risky activity, never invest any money that you cannot afford to lose!
VRP Zones with Strategy Labels & TooltipsThis script marries the core concept of Volatility Risk Premium—how far implied vol sits above or below realized vol—with practical, on-chart signals that guide you toward specific options trades. By seeing “High VRP” in orange or “Negative VRP” in red right on your price bars (with hover-for-tooltip strategy tips), you get both the quantitative measure and the qualitative trade idea in one glance.
ACR(Average Candle Range) With TargetsWhat is ACR?
The Average Candle Range (ACR) is a custom volatility metric that calculates the mean distance between the high and low of a set number of past candles. ACR focuses only on the actual candle range (high - low) of specific past candles on a chosen timeframe.
This script calculates and visualizes the Average Candle Range (ACR) over a user-defined number of candles on a custom timeframe. It displays a table of recent range values, plots dynamic bullish and bearish target levels, and marks the start of each new candle with a vertical line. All calculations update in real time as price action develops. This script was inspired by the “ICT ADR Levels - Judas x Daily Range Meter°” by toodegrees.
Key Features
Custom Timeframe Selection: Choose any timeframe (e.g., 1D, 4H, 15m) for analysis.
User-Defined Lookback: Calculate the average range across 1 to 10 previous candles.
Dynamic Targets:
Bullish Target: Current candle low + ACR.
Bearish Target: Current candle high – ACR.
Live Updates: Targets adjust intrabar as highs or lows change during the current candle.
Candle Start Markers: Vertical lines denote the open of each new candle on the selected timeframe.
Floating Range Table:
Displays the current ACR value.
Lists individual ranges for the previous five candles.
Extend Target Lines: Choose to extend bullish and bearish target levels fully across the screen.
Global Visibility Controls: Toggle on/off all visual elements (targets, vertical lines, and table) for a cleaner view.
How It Works
At each new candle on the user-selected timeframe, the script:
Draws a vertical line at the candle’s open.
Recalculates the ACR based on the inputted previous number of candles.
Plots target levels using the current candle's developing high and low values.
Limitation
Once the price has already moved a full ACR in the opposite direction from your intended trade, the associated target loses its practical value. For example, if you intended to trade long but the bearish ACR target is hit first, the bullish target is no longer a reliable reference for that session.
Use Case
This tool is designed for traders who:
Want to visualize the average movement range of candles over time.
Use higher or lower timeframe candles as structural anchors.
Require real-time range-based price levels for intraday or swing decision-making.
This script does not generate entry or exit signals. Instead, it supports range awareness and target projection based on historical candle behavior.
Key Difference from Similar Tools
While this script was inspired by “ICT ADR Levels - Judas x Daily Range Meter°” by toodegrees, it introduces a major enhancement: the ability to customize the timeframe used for calculating the range. Most ADR or candle-range tools are locked to a single timeframe (e.g., daily), but this version gives traders full control over the analysis window. This makes it adaptable to a wide range of strategies, including intraday and swing trading, across any market or asset.
EMA Channel with ATR Offset + 2 Custom EMAsJust an alternative channel indicator to Bollinger Bands or Ketner channels that uses ATR offsets as the corridor of possible movements, which I recommend changing to fit various tickers.
Also thrown in is EMA, default is 100 and 50 periods for trend direction and potential confirmation
