Kijun Shifting Band Oscillator | QuantMAC🎯 Kijun Shifting Band Oscillator | QuantMAC
📊 **Revolutionary Technical Analysis Tool Combining Ancient Ichimoku Wisdom with Cutting-Edge Statistical Methods**
🌟 Overview
The Kijun Shifting Band Oscillator represents a sophisticated fusion of traditional Japanese technical analysis and modern statistical theory. Built upon the foundational concepts of the Ichimoku Kinko Hyo system, this indicator transforms the classic Kijun-sen (base line) into a dynamic, multi-dimensional analysis tool that provides traders with unprecedented market insights.
This advanced oscillator doesn't just show you where price has been – it reveals the underlying momentum dynamics and volatility patterns that drive market movements, giving you a statistical edge in your trading decisions.
🔥 Key Features & Innovations
Dual Trading Modes for Maximum Flexibility: 🚀
Long/Short Mode: Full bidirectional trading capability for aggressive traders seeking to capitalize on both bullish and bearish market conditions
Long/Cash Mode: Conservative approach perfect for risk-averse traders, taking long positions during uptrends and moving to cash during downtrends (avoiding short exposure)
Advanced Visual Intelligence: 🎨
9 Professional Color Schemes: From classic blue/navy to vibrant orange/purple combinations, each optimized for different chart backgrounds and personal preferences
Dynamic Gradient Histogram: Color intensity reflects oscillator strength, providing instant visual feedback on momentum magnitude
Intelligent Overlay Bands: Semi-transparent fills create clear visual boundaries without cluttering your chart
Smart Candle Coloring: Real-time color changes reflect current market state and trend direction
Customizable Threshold Lines: Clearly marked entry and exit levels with contrasting colors
Professional-Grade Analytics: 📊
Real-Time Performance Metrics: Live calculation of 9 key performance indicators
Risk-Adjusted Returns: Sharpe, Sortino, and Omega ratios for comprehensive performance evaluation
Position Sizing Guidance: Half-Kelly percentage for optimal risk management
Drawdown Analysis: Maximum drawdown tracking for risk assessment
📈 Deep Technical Foundation
Kijun-Based Mathematical Framework: 🧮
The indicator begins with the traditional Kijun-sen calculation but extends it significantly:
Statistical Enhancements: 📉
Adaptive Volatility: Bands expand and contract based on market volatility
Momentum Filtering: EMA smoothing of oscillator for trend confirmation
State Management: Intelligent signal filtering prevents whipsaws and false signals
Multi-Timeframe Compatibility: Optimized algorithms work across all timeframes
⚙️ Comprehensive Parameter Control
Kijun Core Settings: 🎛️
Kijun Length (Default: 30): Controls the lookback period for the base calculation. Shorter periods = more responsive, longer periods = smoother signals
Source Selection: Choose from Close, Open, High, Low, or HL2. Close price recommended for most applications
Calculation Method: Uses traditional Ichimoku methodology ensuring compatibility with classic analysis
Advanced Oscillator Configuration: 📊
Standard Deviation Length (Default: 36): Determines volatility measurement period. Affects band width and sensitivity
SD Multiplier (Default: 2.1): Fine-tune band distance from basis line. Higher values = wider bands, lower values = tighter bands
Oscillator Multiplier (Default: 100): Scales the final oscillator output. Useful for matching other indicators or personal preference
Smoothing Algorithm: Built-in EMA smoothing prevents noise while maintaining responsiveness
Signal Threshold Optimization: 🎯
Long Threshold (Default: 83): Oscillator level that triggers long entries. Higher values = fewer but stronger signals
Short Threshold (Default: 42): Oscillator level that triggers short entries. Lower values = fewer but stronger signals
Threshold Logic: Crossover-based system with state management prevents signal overlap
Customization Range: Fully adjustable to match your trading style and risk tolerance
Precision Date Control: 📅
Start Date/Month/Year: Precise backtesting control down to the day
Historical Analysis: Test strategies on specific market periods or events
Strategy Validation: Isolate performance during different market conditions
📊 Professional Metrics Dashboard
Risk Assessment Metrics: 💼
Maximum Drawdown %: Largest peak-to-trough decline in portfolio value. Critical for understanding worst-case scenarios and position sizing
Sortino Ratio: Risk-adjusted return measure focusing only on downside volatility. Superior to Sharpe ratio for asymmetric return distributions
Sharpe Ratio: Classic risk-adjusted performance metric. Values above 1.0 considered good, above 2.0 excellent
Omega Ratio: Probability-weighted ratio capturing all moments of return distribution. More comprehensive than Sharpe or Sortino
Performance Analytics: 📈
Profit Factor: Gross Profit ÷ Gross Loss. Values above 1.0 indicate profitability, above 2.0 considered excellent
Win Rate %: Percentage of profitable trades. Consider alongside average win/loss size for complete picture
Net Profit %: Total return on initial capital. Accounts for compounding effects
Total Trades: Sample size for statistical significance assessment
Advanced Position Sizing: 🎯
Half Kelly %: Optimal position size based on Kelly Criterion, reduced by 50% for safety margin
Risk Management: Helps determine appropriate position size relative to account equity
Mathematical Foundation: Based on win probability and profit factor calculations
Practical Application: Directly usable percentage for position sizing decisions
🎨 Advanced Display Options
Flexible Interface Design: 🖥️
6 Positioning Options: Top/Bottom/Middle × Left/Right combinations for optimal chart organization
Toggle Functionality: Show/hide metrics table for clean chart presentation during analysis
Color Coordination: Metrics table colors match selected oscillator color scheme
Professional Styling: Clean, readable format with proper spacing and alignment
Visual Hierarchy: 🎭
Oscillator Histogram: Primary focus with gradient intensity showing momentum strength
Threshold Lines: Clear horizontal references for entry/exit levels
Zero Line: Neutral reference point for trend bias determination
Background Bands: Subtle overlay context without chart clutter
🚀 Advanced Signal Generation System
Multi-Layer Signal Logic: ⚡
Primary Signal Generation: Oscillator crossover above Long Threshold (default 83) triggers long entries
Exit Signal Processing: Oscillator crossunder below Short Threshold (default 42) triggers position exits
State Management System: Prevents duplicate signals and ensures clean position transitions
Mode-Specific Logic: Different behavior for Long/Short vs Long/Cash modes
Date Range Filtering: Signals only generated within specified backtesting period
Confirmation Requirements: Bar confirmation prevents false signals from intrabar price spikes
Intelligent Position Management: 🧠
Entry Tracking: Precise entry price recording for accurate P&L calculations
Position State Monitoring: Continuous tracking of long/short/cash positions
Automatic Exit Logic: Seamless position closure and new position initiation
Performance Calculation: Real-time P&L tracking with compounding effects
📉📈 Comprehensive Band Interpretation Guide
Dynamic Band Analysis: 🔍
Upper Band Function: Represents dynamic resistance based on recent volatility. Price approaching upper band suggests potential reversal or breakout
Lower Band Function: Represents dynamic support with volatility adjustment. Price near lower band indicates oversold conditions or support testing
Middle Line (Basis): Trend direction indicator. Price above = bullish bias, price below = bearish bias
Band Width Interpretation: Wide bands = high volatility, narrow bands = low volatility/potential breakout setup
Band Slope Analysis: Rising bands = strengthening trend, falling bands = weakening trend
Oscillator Interpretation: 📊
Values Above 50: Price in upper half of recent range, bullish momentum
Values Below 50: Price in lower half of recent range, bearish momentum
Extreme Values (>80 or <20): Overbought/oversold conditions, potential reversal zones
Momentum Divergence: Oscillator direction vs price direction for early reversal signals
Trend Confirmation: Oscillator direction confirming or contradicting price trends
💡 Strategic Trading Applications
Primary Trading Strategies: 🎯
Trend Following: Use threshold crossovers to capture major directional moves. Best in trending markets with clear directional bias
Mean Reversion: Identify extreme oscillator readings for counter-trend opportunities. Effective in range-bound markets
Breakout Trading: Monitor band compressions followed by expansions for breakout signals
Swing Trading: Combine oscillator signals with band interactions for swing position entries/exits
Risk Management: Use metrics dashboard for position sizing and risk assessment
Market Condition Optimization: 🌊
Trending Markets: Increase threshold separation for fewer, stronger signals
Choppy Markets: Decrease threshold separation for more responsive signals
High Volatility: Increase SD multiplier for wider bands
Low Volatility: Decrease SD multiplier for tighter bands and earlier signals
⚙️ Advanced Configuration Tips
Parameter Optimization Guidelines: 🔧
Kijun Length Adjustment: Shorter periods (10-20) for faster signals, longer periods (50-100) for smoother trends
SD Length Tuning: Match to your trading timeframe - shorter for responsive, longer for stability
Threshold Calibration: Backtest different levels to find optimal entry/exit points for your market
Color Scheme Selection: Choose schemes that provide best contrast with your chart background and other indicators
Integration with Other Indicators: 🔗
Volume Indicators: Confirm oscillator signals with volume spikes
Support/Resistance: Use key levels to filter oscillator signals
Momentum Indicators: RSI, MACD confirmation for signal strength
Trend Indicators: Moving averages for overall trend bias confirmation
⚠️ Important Usage Notes & Limitations
Indicator Characteristics: ⚡
Lagging Nature: Based on historical price data - signals occur after moves have begun
Best Practice: Combine with leading indicators and price action analysis
Market Dependency: Performance varies across different market conditions and instruments
Backtesting Essential: Always validate parameters on historical data before live implementation
Optimization Recommendations: 🎯
Parameter Testing: Systematically test different combinations on your preferred instruments
Walk-Forward Analysis: Regularly re-optimize parameters to maintain effectiveness
Market Regime Awareness: Adjust parameters for different market conditions (trending vs ranging)
Risk Controls: Implement maximum drawdown limits and position size controls
🔧 Technical Specifications
Performance Optimization: ⚡
Efficient Algorithms: Optimized calculations for smooth real-time operation
Memory Management: Smart array handling for metrics calculations
Visual Optimization: Balanced detail vs performance for responsive charts
Multi-Symbol Ready: Consistent performance across different assets
---
The Kijun Shifting Band Oscillator represents the evolution of technical analysis, bridging the gap between traditional methods and modern quantitative approaches. This indicator provides traders with a comprehensive toolkit for market analysis, combining the intuitive wisdom of Japanese candlestick analysis with the precision of statistical mathematics.
🎯 Designed for serious traders who demand professional-grade analysis tools with institutional-quality metrics and risk management capabilities. Whether you're a discretionary trader seeking visual confirmation or a systematic trader building quantitative strategies, this indicator provides the foundation for informed trading decisions.
⚠️ IMPORTANT DISCLAIMER
Past Performance Warning: 📉⚠️
PAST PERFORMANCE IS NOT INDICATIVE OF FUTURE RESULTS. Historical backtesting results, while useful for strategy development and parameter optimization, do not guarantee similar performance in live trading conditions. Market conditions change continuously, and what worked in the past may not work in the future.
Remember: Successful trading requires discipline, continuous learning, and adaptation to changing market conditions. No indicator or strategy guarantees profits, and all trading involves substantial risk of loss.
Поиск скриптов по запросу "track"
Machine Learning | Adaptive Trend Signals [Bitwardex]⚙️🧠Machine Learning | Adaptive Trend Signals
🔷Overview
Machine Learning | Adaptive Trend Signals is a Pine Script™ v6 indicator designed to visualize market trends and generate signals through a combination of volatility clustering, Gaussian smoothing, and adaptive trend calculations. Built as an overlay indicator, it integrates advanced techniques inspired by machine learning concepts, such as K-Means clustering, to adapt to changing market conditions. The script is highly customizable, includes a backtesting module, and supports alert conditions, making it suitable for traders exploring trend-based strategies and developers studying volatility-driven indicator design.
🔷Functionality
The indicator performs the following core functions:
• Volatility Clustering: Uses K-Means clustering to categorize market volatility into high, medium, and low states, adjusting trend sensitivity accordingly.
• Trend Calculation: Computes adaptive trend lines (SmartTrend) based on volatility-adjusted standard deviation, smoothed RSI, and ADX filters.
• Signal Generation: Identifies potential buy and sell points through trend line crossovers and directional confirmation.
• Backtesting Module: Tracks trade outcomes based on the SmartTrend3 value, displaying win rate and total trades.
• Visualization: Plots trend lines with gradient colors and optional signal markers (bullish 🐮 and bearish 🐻).
• Alerts: Provides configurable alerts for trend shifts and volatility state changes.
🔷Technical Methodology
Volatility Clustering with K-Means
The indicator employs a K-Means clustering algorithm to classify market volatility, measured via the Average True Range (ATR), into three distinct clusters:
• Data Collection: Gathers ATR values over a user-defined training period (default: 100 bars).
• Centroid Initialization: Sets initial centroids at the highest, lowest, and midpoint ATR values within the training period.
• Iterative Clustering: Assigns ATR data points to the nearest centroid, recalculates centroid means, and repeats until convergence.
• Dynamic Adjustment: Assigns a volatility state (high, medium, or low) based on the closest centroid, adjusting the trend factor (e.g., tighter for high volatility, wider for low volatility).
This approach allows the indicator to adapt its sensitivity to varying market conditions, providing a data-driven foundation for trend calculations.
🔷Gaussian Smoothing
To enhance signal clarity and reduce noise, the indicator applies Gaussian kernel smoothing to:
• RSI: Smooths the Relative Strength Index (calculated from OHLC4) to filter short-term fluctuations.
• SmartTrend: Smooths the primary trend line for a more stable output.
The Gaussian kernel uses a sigma value derived from the user-defined smoothing length, ensuring mathematically consistent noise reduction.
🔷SmartTrend Calculation
The pineSmartTrend function is the core of the indicator, producing three trend lines:
• SmartTrend: The primary trend line, calculated using a volatility-adjusted standard deviation, smoothed RSI, and ADX conditions.
• SmartTrend2: A secondary trend line with a wider factor (base factor * 1.382) for signal confirmation.
SmartTrend3: The average of SmartTrend and SmartTrend2, used for plotting and backtesting.
Key components of the calculation include:
• Dynamic Standard Deviation: Scales based on ATR relative to its 50-period smoothed average, with multipliers (1.0 to 1.4) applied according to volatility thresholds.
• RSI and ADX Filters: Requires RSI > 50 for bullish trends or < 50 for bearish trends, alongside ADX > 15 and rising to confirm trend strength.
Volatility-Adjusted Bands: Constructs upper and lower bands around price action, adjusted by the volatility cluster’s dynamic factor.
🔷Signal Generation
The generate_signals function generates signals as follows:
• Buy Signal: Triggered when SmartTrend crosses above SmartTrend2 and the price is above SmartTrend, with directional confirmation.
• Sell Signal: Triggered when SmartTrend crosses below SmartTrend2 and the price is below SmartTrend, with directional confirmation.
Directional Logic: Tracks trend direction to filter out conflicting signals, ensuring alignment with the broader market context.
Signals are visualized as small circles with bullish (🐮) or bearish (🐻) emojis, with an option to toggle visibility.
🔷Backtesting
The get_backtest function evaluates signal outcomes using the SmartTrend3 value (rather than closing prices) to align with the trend-based methodology.
It tracks:
• Total Trades: Counts completed long and short trades.
• Win Rate: Calculates the percentage of trades where SmartTrend3 moves favorably (higher for longs, lower for shorts).
Position Management: Closes opposite positions before opening new ones, simulating a single-position trading system.
Results are displayed in a table at the top-right of the chart, showing win rate and total trades. Note that backtest results reflect the indicator’s internal logic and should not be interpreted as predictive of real-world performance.
🔷Visualization and Alerts
• Trend Lines: SmartTrend3 is plotted with gradient colors reflecting trend direction and volatility cluster, accompanied by a secondary line for visual clarity.
• Signal Markers: Optional buy/sell signals are plotted as small circles with customizable colors.
• Alerts: Supports alerts for:
• Bullish and bearish trend shifts (confirmed on bar close).
Transitions to high, medium, or low volatility states.
🔷Input Parameters
• ATR Length (default: 14): Period for ATR calculation, used in volatility clustering.
• Period (default: 21): Common period for RSI, ADX, and standard deviation calculations.
• Base SmartTrend Factor (default: 2.0): Base multiplier for volatility-adjusted bands.
• SmartTrend Smoothing Length (default: 10): Length for Gaussian smoothing of the trend line.
• Show Buy/Sell Signals? (default: true): Enables/disables signal markers.
• Bullish/Bearish Color: Customizable colors for trend lines and signals.
🔷Usage Instructions
• Apply to Chart: Add the indicator to any TradingView chart.
• Configure Inputs: Adjust parameters to align with your trading style or market conditions (e.g., shorter ATR length for faster markets).
• Interpret Output:
• Trend Lines: Use SmartTrend3’s direction and color to gauge market bias.
• Signals: Monitor bullish (🐮) and bearish (🐻) markers for potential entry/exit points.
• Backtest Table: Review win rate and total trades to understand the indicator’s behavior in historical data.
• Set Alerts: Configure alerts for trend shifts or volatility changes to support manual or automated trading workflows.
• Combine with Analysis: Use the indicator alongside other tools or market context, as it is designed to complement, not replace, comprehensive analysis.
🔷Technical Notes
• Data Requirements: Requires at least 100 bars for accurate volatility clustering. Ensure sufficient historical data is loaded.
• Market Suitability: The indicator is designed for trend detection and may perform differently in ranging or volatile markets due to its reliance on RSI and ADX filters.
• Backtesting Scope: The backtest module uses SmartTrend3 values, which may differ from price-based outcomes. Results are for informational purposes only.
• Computational Intensity: The K-Means clustering and Gaussian smoothing may increase processing time on lower timeframes or with large datasets.
🔷For Developers
The script is modular, well-commented, encouraging reuse and modification with proper attribution.
Key functions include:
• gaussianSmooth: Applies Gaussian kernel smoothing to any data series.
• pineSmartTrend: Computes adaptive trend lines with volatility and momentum filters.
• getDynamicFactor: Adjusts trend sensitivity based on volatility clusters.
• get_backtest: Evaluates signal performance using SmartTrend3.
Developers can extend these functions for custom indicators or strategies, leveraging the volatility clustering and smoothing methodologies. The K-Means implementation is particularly useful for adaptive volatility analysis.
🔷Limitations
• The indicator is not predictive and should be used as part of a broader trading strategy.
• Performance varies by market, timeframe, and parameter settings, requiring user experimentation.
• Backtest results are based on historical data and internal logic, not real-world trading conditions.
• Volatility clustering assumes sufficient historical data; incomplete data may affect accuracy.
🔷Acknowledgments
Developed by Bitwardex, inspired by machine learning concepts and adaptive trading methodologies. Community feedback is welcome via TradingView’s platform.
🔷 Risk Disclaimer
Trading involves significant risks, and most traders may incur losses. Bitwardex AI Algo is provided for informational and educational purposes only and does not constitute financial advice or a recommendation to buy or sell any financial instrument . The signals, metrics, and features are tools for analysis and do not guarantee profits or specific outcomes. Past performance is not indicative of future results. Always conduct your own due diligence and consult a financial advisor before making trading decisions.
Volume Profile & Smart Money Explorer🔍 Volume Profile & Smart Money Explorer: Decode Institutional Footprints
Master the art of institutional trading with this sophisticated volume analysis tool. Track smart money movements, identify peak liquidity windows, and align your trades with major market participants.
🌟 Key Features:
📊 Triple-Layer Volume Analysis
• Total Volume Patterns
• Directional Volume Split (Up/Down)
• Institutional Flow Detection
• Real-time Smart Money Tracking
• Historical Pattern Recognition
⚡ Smart Money Detection
• Institutional Trade Identification
• Large Block Order Tracking
• Smart Money Concentration Periods
• Whale Activity Alerts
• Volume Threshold Analysis
📈 Advanced Profiling
• Hourly Volume Distribution
• Directional Bias Analysis
• Liquidity Heat Maps
• Volume Pattern Recognition
• Custom Threshold Settings
🎯 Strategic Applications:
Institutional Trading:
• Track Big Player Movements
• Identify Accumulation/Distribution
• Follow Smart Money Flow
• Detect Institutional Trading Windows
• Monitor Block Orders
Risk Management:
• Identify High Liquidity Windows
• Avoid Thin Market Periods
• Optimize Position Sizing
• Track Market Participation
• Monitor Volume Quality
Market Analysis:
• Volume Pattern Recognition
• Smart Money Flow Analysis
• Liquidity Window Identification
• Institutional Activity Cycles
• Market Depth Analysis
💡 Perfect For:
• Professional Traders
• Volume Profile Traders
• Institutional Traders
• Risk Managers
• Algorithmic Traders
• Smart Money Followers
• Day Traders
• Swing Traders
📊 Key Metrics:
• Normalized Volume Profiles
• Institutional Thresholds
• Directional Volume Split
• Smart Money Concentration
• Historical Patterns
• Real-time Analysis
⚡ Trading Edge:
• Trade with Institution Flow
• Identify Optimal Entry Points
• Recognize Distribution Patterns
• Follow Smart Money Positioning
• Avoid Thin Markets
• Capitalize on Peak Liquidity
🎓 Educational Value:
• Understand Market Structure
• Learn Volume Analysis
• Master Institutional Patterns
• Develop Market Intuition
• Track Smart Money Flow
🛠️ Customization:
• Adjustable Time Windows
• Flexible Volume Thresholds
• Multiple Timeframe Analysis
• Custom Alert Settings
• Visual Preference Options
Whether you're tracking institutional flows in crypto markets or following smart money in traditional markets, the Volume Profile & Smart Money Explorer provides the deep insights needed to trade alongside the biggest players.
Transform your trading from retail guesswork to institutional precision. Know exactly when and where smart money moves, and position yourself ahead of major market shifts.
#VolumeProfile #SmartMoney #InstitutionalTrading #MarketAnalysis #TradingView #VolumeAnalysis #CryptoTrading #ForexTrading #TechnicalAnalysis #Trading #PriceAction #MarketStructure #OrderFlow #Liquidity #RiskManagement #TradingStrategy #DayTrading #SwingTrading #AlgoTrading #QuantitativeTrading
X Levels [Pro+] (TradeX)Introduction:
The X-Levels Indicator is a cutting-edge trading tool to help identify key price levels around Premium / Discount Arrays (PD arrays) at Higher Timeframe Points of Interest. It aids the trader by automatically measuring dealing ranges across multiple Timeframes and highlighting the percentages within which define a Premium & Discount Range. These percentages, known as X-Levels, are where the trader seeks an entry around a relevant PD array. This approach allows a trader to optimize entry and exit points around X-Levels. Suitable for traders of all levels, X-Levels enhances analysts' trade location and framework, providing crucial insights into market movements.
What is an X-Level? A specific percentage within any given dealing range that defines a premium and discount. X Levels are defined as the following percents: 0,12,21,29.5,38,50,61.8,70.5,79,88,100. Percentages below 50% indicate a discount and above 50% indicate a premium.
Foundation: This methodology, developed by TradeX, defines a consistent way for defining dealing ranges and his key percentage levels. Built upon Inner Circle Trader (ICT)’s principles of price delivery, it recognizes that price moves between premium and discount levels, seeking liquidity and inefficiencies.
After extensive refinements, this tool now automates the identification of these dealing ranges across any Timeframe, whilst presenting the X-Levels in a clear and precise manner allowing traders to track price movements with precision and efficiency across multiple time frames.
As price moves between X-Levels, it is the trader’s role to analyze which PD Array offers the best entry opportunity around a given X-Level. The true value of this tool lies in its ability to automatically update Dealing Ranges in real Time, eliminating the need for manual measurement or adjustment. This not only saves Time but also allows analysts to focus on trading rather than manually drawing and updating dealing ranges, removing guess work from defining the correct X Levels dealing range.
When X-Levels are applied across multiple Timeframes, traders gain a comprehensive view of the current market conditions. A key principle of this approach is aligning with price at Higher Timeframe (HTF) Point of Interest. By tracking dealing ranges from HTF while operating in Lower Timeframes, analysts can maintain a granular view while keeping track of the HTF framework.
Explanation of Killzones
Killzones refer to the times when major financial markets are open and active, particularly the London and New York sessions. For example, the London Open Killzone typically runs from 2:00 AM to 4:00 AM Eastern Time, while the New York Killzone is often from 8:00 AM to 10:00 AM Eastern Time. During these times, traders can expect more significant price movements due to higher trading volumes and the overlap of market participants.
The X-Levels indicator includes customizable killzone delineations, allowing traders to tailor this setting to their preferred trading sessions.
Key Opening Prices
Finally, the X-Levels indicator also includes Opening Price Delineations in both Horizontal and Vertical delineation. The "opening price" in trading refers to the first price at which a security is traded when the market opens. This price is significant because it can set the tone for the day's trading and is often used as a reference point for analyzing market movements. We are tracking midnight open, 8:30am and 9:30am. This is due to Midnight Theory.
Midnight Theory:
This is following the principles of Power of 3 (PO3) where if a trader is seeking a bullish expansion on a daily candle he is looking to frame entries below the midnight opening price. The principle of midnight theory comes in the form of buying at a hypothetical discount. A trade entering below midnight would be considered a discount, below midnight and 9:30am on a bullish day would be considered a deep discount.
Settings Summary:
Dealing Ranges: Traders can choose which Timeframe to track and can choose up to a maximum of 3 per chart. The styles of which are fully customizable. Solid lines, dotted lines or dashed lines are all available options for presenting each X-Level on each Dealing Range.
Dealing Range Labels: Above and below each Dealing Range extreme, analysts can find a label marking what Timeframe it originates from to differentiate between multiple Dealing Ranges. The size of this label can be hidden, and if shown its size can be customized.
Customizable Colors: Each Dealing Range Discount, Fair Value, and Premium, can be customized at the choice of the trader to suit their preferences.
Manual Dealing Range: If a trader would like to manually set their own Dealing Range, they can do so by marking the beginning of the Dealing Range view window visually through a tailored Manual Dealing Range setting.
Table Presentation: A table that can be presented in different locations on the chart, showing the percentages in relation to where price is trading in any given active Dealing Range. This is an incredibly useful tool for those wanting to see where they sit across Timeframes quickly.
Killzone Delineations: Traders can customize the Times of their preferred Killzones, whether conventional sessions, or their own preference. Their individual colors can also be customized to the trader's liking and preference.
Opening Prices: Traders can customize the colours to suit preferences and change the line thickness, plus adjust and label size.
Conclusion
The X-Levels Indicator is a powerful tool designed to streamline and enhance a trader’s ability to identify key price levels, track Dealing Ranges automatically, and highlight opportunities around Premium and Discount. By automating the measurement of dealing ranges and dynamically updating X-Levels across multiple Timeframes, this indicator eliminates the need for manual calculations, saving Time and allowing traders to focus on narrative.
When combined with Killzone delineations and Opening Prices, the indicator provides a comprehensive framework for aligning trades within the broader market context.
Whether used by beginners or experienced traders, the X-Levels Indicator empowers market participants with a structured approach to price action, liquidity dynamics, and trade location.
Usage Guidance:
Add X Levels° (TradeX) to your TradingView chart.
Select your preferred Timeframes for Dealing Ranges, Killzones, and Opening Prices.
Automate your analysis process with X Levels° (TradeX) and leverage it into your existing strategies to fine-tune your view through automatic Dealing Range tracking and charting.
Terms and Conditions
Our charting tools are products provided for informational and educational purposes only and do not constitute financial, investment, or trading advice. Our charting tools are not designed to predict market movements or provide specific recommendations. Users should be aware that past performance is not indicative of future results and should not be relied upon for making financial decisions. By using our charting tools, the purchaser agrees that the seller and the creator are not responsible for any decisions made based on the information provided by these charting tools. The purchaser assumes full responsibility and liability for any actions taken and the consequences thereof, including any loss of money or investments that may occur as a result of using these products. Hence, by purchasing these charting tools, the customer accepts and acknowledges that the seller and the creator are not liable nor responsible for any unwanted outcome that arises from the development, the sale, or the use of these products. Finally, the purchaser indemnifies the seller from any and all liability. If the purchaser was invited through the Friends and Family Program, they acknowledge that the provided discount code only applies to the first initial purchase of the Toodegrees Premium Suite subscription. The purchaser is therefore responsible for cancelling – or requesting to cancel – their subscription in the event that they do not wish to continue using the product at full retail price. If the purchaser no longer wishes to use the products, they must unsubscribe from the membership service, if applicable. We hold no reimbursement, refund, or chargeback policy. Once these Terms and Conditions are accepted by the Customer, before purchase, no reimbursements, refunds or chargebacks will be provided under any circumstances.
By continuing to use these charting tools, the user acknowledges and agrees to the Terms and Conditions outlined in this legal disclaimer.
AMD Session Structure Levels# Market Structure & Manipulation Probability Indicator
## Overview
This advanced indicator is designed for traders who want a systematic approach to analyzing market structure, identifying manipulation, and assessing probability-based trade setups. It incorporates four core components:
### 1. Session Price Action Analysis
- Tracks **OHLC (Open, High, Low, Close)** within defined sessions.
- Implements a **dual tracking system**:
- **Official session levels** (fixed from the session open to close).
- **Real-time max/min tracking** to differentiate between temporary spikes and real price acceptance.
### 2. Market Manipulation Detection
- Identifies **manipulative price action** using the relationship between the open and close:
- If **price closes below open** → assumes **upward manipulation**, followed by **downward distribution**.
- If **price closes above open** → assumes **downward manipulation**, followed by **upward distribution**.
- Normalized using **ATR**, ensuring adaptability across different volatility conditions.
### 3. Probability Engine
- Tracks **historical wick ratios** to assess trend vs. reversal conditions.
- Calculates **conditional probabilities** for price moves.
- Uses a **special threshold system (0.45 and 0.03)** for reversal signals.
- Provides **real-time probability updates** to enhance trade decision-making.
### 4. Market Condition Classification
- Classifies market conditions using a **wick-to-body ratio**:
```pine
wick_to_body_ratio = open > close ? upper_wick / (high - low) : lower_wick / (high - low)
```
- **Low ratio (<0.25)** → Likely a **trend day**.
- **High ratio (>0.25)** → Likely a **range day**.
---
## Why This Indicator Stands Out
### ✅ Smarter Level Detection
- Uses **ATR-based dynamic levels** instead of static support/resistance.
- Differentiates **manipulation from distribution** for better decision-making.
- Updates probabilities **in real-time**.
### ✅ Memory-Efficient Design
- Implements **circular buffers** to maintain efficiency:
```pine
var float manipUp = array.new_float(lookbackPeriod, 0.0)
var float manipDown = array.new_float(lookbackPeriod, 0.0)
```
- Ensures **constant memory usage**, even over extended trading sessions.
### ✅ Advanced Probability Calculation
- Utilizes **conditional probabilities** instead of simple averages.
- Incorporates **market context** through wick analysis.
- Provides **actionable signals** via a probability table.
---
## Trading Strategy Guide
### **Best Entry Setups**
✅ Wait for **price to approach manipulation levels**.
✅ Confirm using the **probability table**.
✅ Check the **wick ratio for context**.
✅ Enter when **conditional probability aligns**.
### **Smart Exit Management**
✅ Use **distribution levels** as **profit targets**.
✅ Scale out **when probabilities shift**.
✅ Monitor **wick percentiles** for confirmation.
### **Risk Management**
✅ Size positions based on **probability readings**.
✅ Place stops at **manipulation levels**.
✅ Adjust position size based on **trend vs. range classification**.
---
## Configuration Tips
### **Session Settings**
```pine
sessionTime = input.session("0830-1500", "Session Hours")
weekDays = input.string("23456", "Active Days")
```
- Match these to your **primary trading session**.
- Adjust for different **market opens** if needed.
### **Analysis Parameters**
```pine
lookbackPeriod = input.int(50, "Lookback Period")
low_threshold = input.float(0.25, "Trend/Range Threshold")
```
- **50 periods** is a good starting point but can be optimized per instrument.
- The **0.25 threshold** is ideal for most markets but may need adjustments.
---
## Market Structure Breakdown
### **Trend/Continuation Days**
- **Characteristics:**
✅ Small **opposing wicks** (minimal counter-pressure).
✅ Clean, **directional price movement**.
- **Bullish Trend Day Example:**
✅ Small **lower wicks** (minimal downward pressure).
✅ Strong **closes near the highs** → **Buyers in control**.
- **Bearish Trend Day Example:**
✅ Small **upper wicks** (minimal upward pressure).
✅ Strong **closes near the lows** → **Sellers in control**.
### **Reversal Days**
- **Characteristics:**
✅ **Large opposing wicks** → Failed momentum in the initial direction.
- **Bullish Reversal Example:**
✅ **Large upper wick early**.
✅ **Strong close from the lows** → **Sellers failed to maintain control**.
- **Bearish Reversal Example:**
✅ **Large lower wick early**.
✅ **Weak close from the highs** → **Buyers failed to maintain control**.
---
## Summary
This indicator systematically quantifies market structure by measuring **manipulation, distribution, and probability-driven trade setups**. Unlike traditional indicators, it adapts dynamically using **ATR, historical probabilities, and real-time tracking** to offer a structured, data-driven approach to trading.
🚀 **Use this tool to enhance your decision-making and gain an objective edge in the market!**
Liquidations Zones [ChartPrime]The Liquidation Zones indicator is designed to detect potential liquidation zones based on common leverage levels such as 10x, 25x, 50x, and 100x. By calculating percentage distances from recent pivot points, the indicator shows where leveraged positions are most likely to get liquidated. It also tracks buy and sell volumes in these zones, helping traders assess market pressure and predict liquidation scenarios. Additionally, the indicator features a heat map mode to highlight areas where orders and stop-losses might be clustered.
⯁ KEY FEATURES AND HOW TO USE
⯌ Leverage Zones Detection :
The indicator identifies zones where positions with leverage ratios of 100x, 50x, 25x, and 10x are at risk of liquidation. These zones are based on percentage moves from recent pivots: a 1% move can liquidate 100x positions, a 4% move affects 25x positions, and so on.
⯌ Liquidated Zones and Volume Tracking :
The indicator displays liquidated zones by plotting gray areas where the price potentually liquidate positons. It calculates the volume needed to liquidate positions in these zones, showing volume from bullish candles if short positions were liquidated and volume from bearish candles for long positions. This feature helps traders assess the risk of liquidation as the price approaches these zones.
⯌ Buy/Sell Volume Calculation :
Buy and sell volumes are calculated from the most recent pivot high or low. For buy volume, only bullish candles are considered, while for sell volume, only bearish candles are summed. This data helps traders gauge the strength of potential liquidation in different zones.
Example of buy and sell volume tracking in active zones:
⯌ Liquidity Heat Map :
In heat map mode, the indicator visualizes potential liquidity areas where orders and stop-losses may be clustered. This map highlights zones that are likely to experience liquidations based on leverage ratios. Additionally, it tracks the highest and lowest price levels for the past 100 bars, while also displaying buy and sell volumes. This feature is useful for predicting market moves driven by liquidation events.
⯁ USER INPUTS
Length : Determines the number of bars used to calculate pivots for liquidation zones.
Extend : Controls how far the liquidation zones are extended on the chart.
Leverage Options : Toggle options to display zones for different leverage levels: 10x, 25x, 50x, and 100x.
Display Heat Map : Enables or disables the liquidity heat map feature.
⯁ CONCLUSION
The Liquidation Zones indicator provides a powerful tool for identifying potential liquidation zones, tracking volume pressure, and visualizing liquidity areas on the chart. With its real-time updates and multiple features, this indicator offers valuable insights for managing risk and anticipating market moves driven by leveraged positions.
Multi-Step FlexiMA - Strategy [presentTrading]It's time to come back! hope I can not to be busy for a while.
█ Introduction and How It Is Different
The FlexiMA Variance Tracker is a unique trading strategy that calculates a series of deviations between the price (or another indicator source) and a variable-length moving average (MA). Unlike traditional strategies that use fixed-length moving averages, the length of the MA in this system varies within a defined range. The length changes dynamically based on a starting factor and an increment factor, creating a more adaptive approach to market conditions.
This strategy integrates Multi-Step Take Profit (TP) levels, allowing for partial exits at predefined price increments. It enables traders to secure profits at different stages of a trend, making it ideal for volatile markets where taking full profits at once might lead to missed opportunities if the trend continues.
BTCUSD 6hr Performance
█ Strategy, How It Works: Detailed Explanation
🔶 FlexiMA Concept
The FlexiMA (Flexible Moving Average) is at the heart of this strategy. Unlike traditional MA-based strategies where the MA length is fixed (e.g., a 50-period SMA), the FlexiMA varies its length with each iteration. This is done using a **starting factor** and an **increment factor**.
The formula for the moving average length at each iteration \(i\) is:
`MA_length_i = indicator_length * (starting_factor + i * increment_factor)`
Where:
- `indicator_length` is the user-defined base length.
- `starting_factor` is the initial multiplier of the base length.
- `increment_factor` increases the multiplier in each iteration.
Each iteration applies a **simple moving average** (SMA) to the chosen **indicator source** (e.g., HLC3) with a different length based on the above formula. The deviation between the current price and the moving average is then calculated as follows:
`deviation_i = price_current - MA_i`
These deviations are normalized using one of the following methods:
- **Max-Min normalization**:
`normalized_i = (deviation_i - min(deviations)) / range(deviations)`
- **Absolute Sum normalization**:
`normalized_i = deviation_i / sum(|deviation_i|)`
The **median** and **standard deviation (stdev)** of the normalized deviations are then calculated as follows:
`median = median(normalized deviations)`
For the standard deviation:
`stdev = sqrt((1/(N-1)) * sum((normalized_i - mean)^2))`
These values are plotted to provide a clear indication of how the price is deviating from its variable-length moving averages.
For more detail:
🔶 Multi-Step Take Profit
This strategy uses a multi-step take profit system, allowing for exits at different stages of a trade based on the percentage of price movement. Three take-profit levels are defined:
- Take Profit Level 1 (TP1): A small, quick profit level (e.g., 2%).
- Take Profit Level 2 (TP2): A medium-level profit target (e.g., 8%).
- Take Profit Level 3 (TP3): A larger, more ambitious target (e.g., 18%).
At each level, a corresponding percentage of the trade is exited:
- TP Percent 1: E.g., 30% of the position.
- TP Percent 2: E.g., 20% of the position.
- TP Percent 3: E.g., 15% of the position.
This approach ensures that profits are locked in progressively, reducing the risk of market reversals wiping out potential gains.
Local
🔶 Trade Entry and Exit Conditions
The entry and exit signals are determined by the interaction between the **SuperTrend Polyfactor Oscillator** and the **median** value of the normalized deviations:
- Long entry: The SuperTrend turns bearish, and the median value of the deviations is positive.
- Short entry: The SuperTrend turns bullish, and the median value is negative.
Similarly, trades are exited when the SuperTrend flips direction.
* The SuperTrend Toolkit is made by @EliCobra
█ Trade Direction
The strategy allows users to specify the desired trade direction:
- Long: Only long positions will be taken.
- Short: Only short positions will be taken.
- Both: Both long and short positions are allowed based on the conditions.
This flexibility allows the strategy to adapt to different market conditions and trading styles, whether you're looking to buy low and sell high, or sell high and buy low.
█ Usage
This strategy can be applied across various asset classes, including stocks, cryptocurrencies, and forex. The primary use case is to take advantage of market volatility by using a flexible moving average and multiple take-profit levels to capture profits incrementally as the market moves in your favor.
How to Use:
1. Configure the Inputs: Start by adjusting the **Indicator Length**, **Starting Factor**, and **Increment Factor** to suit your chosen asset. The defaults work well for most markets, but fine-tuning them can improve performance.
2. Set the Take Profit Levels: Adjust the three **TP levels** and their corresponding **percentages** based on your risk tolerance and the expected volatility of the market.
3. Monitor the Strategy: The SuperTrend and the FlexiMA variance tracker will provide entry and exit signals, automatically managing the positions and taking profits at the pre-set levels.
█ Default Settings
The default settings for the strategy are configured to provide a balanced approach that works across different market conditions:
Indicator Length (10):
This controls the base length for the moving average. A lower length makes the moving average more responsive to price changes, while a higher length smooths out fluctuations, making the strategy less sensitive to short-term price movements.
Starting Factor (1.0):
This determines the initial multiplier applied to the moving average length. A higher starting factor will increase the average length, making it slower to react to price changes.
Increment Factor (1.0):
This increases the moving average length in each iteration. A larger increment factor creates a wider range of moving average lengths, allowing the strategy to track both short-term and long-term trends simultaneously.
Normalization Method ('None'):
Three methods of normalization can be applied to the deviations:
- None: No normalization applied, using raw deviations.
- Max-Min: Normalizes based on the range between the maximum and minimum deviations.
- Absolute Sum: Normalizes based on the total sum of absolute deviations.
Take Profit Levels:
- TP1 (2%): A quick exit to capture small price movements.
- TP2 (8%): A medium-term profit target for stronger trends.
- TP3 (18%): A long-term target for strong price moves.
Take Profit Percentages:
- TP Percent 1 (30%): Exits 30% of the position at TP1.
- TP Percent 2 (20%): Exits 20% of the position at TP2.
- TP Percent 3 (15%): Exits 15% of the position at TP3.
Effect of Variables on Performance:
- Short Indicator Lengths: More responsive to price changes but prone to false signals.
- Higher Starting Factor: Slows down the response, useful for longer-term trend following.
- Higher Increment Factor: Widens the variability in moving average lengths, making the strategy adapt to both short-term and long-term price trends.
- Aggressive Take Profit Levels: Allows for quick profit-taking in volatile markets but may exit positions prematurely in strong trends.
The default configuration offers a moderate balance between short-term responsiveness and long-term trend capturing, suitable for most traders. However, users can adjust these variables to optimize performance based on market conditions and personal preferences.
ICT Killzones and Sessions W/ Silver Bullet + MacrosForex and Equity Session Tracker with Killzones, Silver Bullet, and Macro Times
This Pine Script indicator is a comprehensive timekeeping tool designed specifically for ICT traders using any time-based strategy. It helps you visualize and keep track of forex and equity session times, kill zones, macro times, and silver bullet hours.
Features:
Session and Killzone Lines:
Green: London Open (LO)
White: New York (NY)
Orange: Australian (AU)
Purple: Asian (AS)
Includes AM and PM session markers.
Dotted/Striped Lines indicate overlapping kill zones within the session timeline.
Customization Options:
Display sessions and killzones in collapsed or full view.
Hide specific sessions or killzones based on your preferences.
Customize colors, texts, and sizes.
Option to hide drawings older than the current day.
Automatic Updates:
The indicator draws all lines and boxes at the start of a new day.
Automatically adjusts time-based boxes according to the New York timezone.
Killzone Time Windows (for indices):
London KZ: 02:00 - 05:00
New York AM KZ: 07:00 - 10:00
New York PM KZ: 13:30 - 16:00
Silver Bullet Times:
03:00 - 04:00
10:00 - 11:00
14:00 - 15:00
Macro Times:
02:33 - 03:00
04:03 - 04:30
08:50 - 09:10
09:50 - 10:10
10:50 - 11:10
11:50 - 12:50
Latest Update:
January 15:
Added option to automatically change text coloring based on the chart.
Included additional optional macro times per user request:
12:50 - 13:10
13:50 - 14:15
14:50 - 15:10
15:50 - 16:15
Usage:
To maximize your experience, minimize the pane where the script is drawn. This minimizes distractions while keeping the essential time markers visible. The script is designed to help traders by clearly annotating key trading periods without overwhelming their charts.
Originality and Justification:
This indicator uniquely integrates various time-based strategies essential for ICT traders. Unlike other indicators, it consolidates session times, kill zones, macro times, and silver bullet hours into one comprehensive tool. This allows traders to have a clear and organized view of critical trading periods, facilitating better decision-making.
Credits:
This script incorporates open-source elements with significant improvements to enhance functionality and user experience.
Forex and Equity Session Tracker with Killzones, Silver Bullet, and Macro Times
This Pine Script indicator is a comprehensive timekeeping tool designed specifically for ICT traders using any time-based strategy. It helps you visualize and keep track of forex and equity session times, kill zones, macro times, and silver bullet hours.
Features:
Session and Killzone Lines:
Green: London Open (LO)
White: New York (NY)
Orange: Australian (AU)
Purple: Asian (AS)
Includes AM and PM session markers.
Dotted/Striped Lines indicate overlapping kill zones within the session timeline.
Customization Options:
Display sessions and killzones in collapsed or full view.
Hide specific sessions or killzones based on your preferences.
Customize colors, texts, and sizes.
Option to hide drawings older than the current day.
Automatic Updates:
The indicator draws all lines and boxes at the start of a new day.
Automatically adjusts time-based boxes according to the New York timezone.
Killzone Time Windows (for indices):
London KZ: 02:00 - 05:00
New York AM KZ: 07:00 - 10:00
New York PM KZ: 13:30 - 16:00
Silver Bullet Times:
03:00 - 04:00
10:00 - 11:00
14:00 - 15:00
Macro Times:
02:33 - 03:00
04:03 - 04:30
08:50 - 09:10
09:50 - 10:10
10:50 - 11:10
11:50 - 12:50
Latest Update:
January 15:
Added option to automatically change text coloring based on the chart.
Included additional optional macro times per user request:
12:50 - 13:10
13:50 - 14:15
14:50 - 15:10
15:50 - 16:15
ICT Sessions and Kill Zones
What They Are:
ICT Sessions: These are specific times during the trading day when market activity is expected to be higher, such as the London Open, New York Open, and the Asian session.
Kill Zones: These are specific time windows within these sessions where the probability of significant price movements is higher. For example, the New York AM Kill Zone is typically from 8:30 AM to 11:00 AM EST.
How to Use Them:
Identify the Session: Determine which trading session you are in (London, New York, or Asian).
Focus on Kill Zones: Within that session, focus on the kill zones for potential trade setups. For instance, during the New York session, look for setups between 8:30 AM and 11:00 AM EST.
Silver Bullets
What They Are:
Silver Bullets: These are specific, high-probability trade setups that occur within the kill zones. They are designed to be "one shot, one kill" trades, meaning they aim for precise and effective entries and exits.
How to Use Them:
Time-Based Setup: Look for these setups within the designated kill zones. For example, between 10:00 AM and 11:00 AM for the New York AM session .
Chart Analysis: Start with higher time frames like the 15-minute chart and then refine down to 5-minute and 1-minute charts to identify imbalances or specific patterns .
Macros
What They Are:
Macros: These are broader market conditions and trends that influence your trading decisions. They include understanding the overall market direction, seasonal tendencies, and the Commitment of Traders (COT) reports.
How to Use Them:
Understand Market Conditions: Be aware of the macroeconomic factors and market conditions that could affect price movements.
Seasonal Tendencies: Know the seasonal patterns that might influence the market direction.
COT Reports: Use the Commitment of Traders reports to understand the positioning of large traders and commercial hedgers .
Putting It All Together
Preparation: Understand the macro conditions and review the COT reports.
Session and Kill Zone: Identify the trading session and focus on the kill zones.
Silver Bullet Setup: Look for high-probability setups within the kill zones using refined chart analysis.
Execution: Execute the trade with precision, aiming for a "one shot, one kill" outcome.
By following these steps, you can effectively use ICT sessions, kill zones, silver bullets, and macros to enhance your trading strategy.
Usage:
To maximize your experience, shrink the pane where the script is drawn. This minimizes distractions while keeping the essential time markers visible. The script is designed to help traders by clearly annotating key trading periods without overwhelming their charts.
Originality and Justification:
This indicator uniquely integrates various time-based strategies essential for ICT traders. Unlike other indicators, it consolidates session times, kill zones, macro times, and silver bullet hours into one comprehensive tool. This allows traders to have a clear and organized view of critical trading periods, facilitating better decision-making.
Credits:
This script incorporates open-source elements with significant improvements to enhance functionality and user experience. All credit goes to itradesize for the SB + Macro boxes
Heikin Ashi RSI + OTT [Erebor]Relative Strength Index (RSI)
The Relative Strength Index (RSI) is a popular momentum oscillator used in technical analysis to measure the speed and change of price movements. Developed by J. Welles Wilder, the RSI is calculated using the average gains and losses over a specified period, typically 14 days. Here's how it works:
Description and Calculation:
1. Average Gain and Average Loss Calculation:
- Calculate the average gain and average loss over the chosen period (e.g., 14 days).
- The average gain is the sum of gains divided by the period, and the average loss is the sum of losses divided by the period.
2. Relative Strength (RS) Calculation:
- The relative strength is the ratio of average gain to average loss.
The RSI oscillates between 0 and 100. Traditionally, an RSI above 70 indicates overbought conditions, suggesting a potential sell signal, while an RSI below 30 suggests oversold conditions, indicating a potential buy signal.
Pros of RSI:
- Identifying Overbought and Oversold Conditions: RSI helps traders identify potential reversal points in the market due to overbought or oversold conditions.
- Confirmation Tool: RSI can be used in conjunction with other technical indicators or chart patterns to confirm signals, enhancing the reliability of trading decisions.
- Versatility: RSI can be applied to various timeframes, from intraday to long-term charts, making it adaptable to different trading styles.
Cons of RSI:
- Whipsaws: In ranging markets, RSI can generate false signals, leading to whipsaws (rapid price movements followed by a reversal).
- Not Always Accurate: RSI may give false signals, especially in strongly trending markets where overbought or oversold conditions persist for extended periods.
- Subjectivity: Interpretation of RSI levels (e.g., 70 for overbought, 30 for oversold) is somewhat subjective and can vary depending on market conditions and individual preferences.
Checking RSIs in Different Periods:
Traders often use multiple timeframes to analyze RSI for a more comprehensive view:
- Fast RSI (e.g., 8-period): Provides more sensitive signals, suitable for short-term trading and quick decision-making.
- Slow RSI (e.g., 32-period): Offers a smoother representation of price movements, useful for identifying longer-term trends and reducing noise.
By comparing RSI readings across different periods, traders can gain insights into the momentum and strength of price movements over various timeframes, helping them make more informed trading decisions. Additionally, divergence between fast and slow RSI readings may signal potential trend reversals or continuation patterns.
Heikin Ashi Candles
Let's consider a modification to the traditional “Heikin Ashi Candles” where we introduce a new parameter: the period of calculation. The traditional HA candles are derived from the open 01, high 00 low 00, and close 00 prices of the underlying asset.
Now, let's introduce a new parameter, period, which will determine how many periods are considered in the calculation of the HA candles. This period parameter will affect the smoothing and responsiveness of the resulting candles.
In this modification, instead of considering just the current period, we're averaging or aggregating the prices over a specified number of periods . This will result in candles that reflect a longer-term trend or sentiment, depending on the chosen period value.
For example, if period is set to 1, it would essentially be the same as traditional Heikin Ashi candles. However, if period is set to a higher value, say 5, each candle will represent the average price movement over the last 5 periods, providing a smoother representation of the trend but potentially with delayed signals compared to lower period values.
Traders can adjust the period parameter based on their trading style, the timeframe they're analyzing, and the level of smoothing or responsiveness they prefer in their candlestick patterns.
Optimized Trend Tracker
The "Optimized Trend Tracker" is a proprietary trading indicator developed by TradingView user ANIL ÖZEKŞİ. It is designed to identify and track trends in financial markets efficiently. The indicator attempts to smooth out price fluctuations and provide clear signals for trend direction.
The Optimized Trend Tracker uses a combination of moving averages and adaptive filters to detect trends. It aims to reduce lag and noise typically associated with traditional moving averages, thereby providing more timely and accurate signals.
Some of the key features and applications of the OTT include:
• Trend Identification: The indicator helps traders identify the direction of the prevailing trend in a market. It distinguishes between uptrends, downtrends, and sideways consolidations.
• Entry and Exit Signals: The OTT generates buy and sell signals based on crossovers and direction changes of the trend. Traders can use these signals to time their entries and exits in the market.
• Trend Strength: It also provides insights into the strength of the trend by analyzing the slope and momentum of price movements. This information can help traders assess the conviction behind the trend and adjust their trading strategies accordingly.
• Filter Noise: By employing adaptive filters, the indicator aims to filter out market noise and false signals, thereby enhancing the reliability of trend identification.
• Customization: Traders can customize the parameters of the OTT to suit their specific trading preferences and market conditions. This flexibility allows for adaptation to different timeframes and asset classes.
Overall, the OTT can be a valuable tool for traders seeking to capitalize on trending market conditions while minimizing false signals and noise. However, like any trading indicator, it is essential to combine its signals with other forms of analysis and risk management strategies for optimal results. Additionally, traders should thoroughly back-test the indicator and practice using it in a demo environment before applying it to live trading.
The following types of moving average have been included: "SMA", "EMA", "SMMA (RMA)", "WMA", "VWMA", "HMA", "KAMA", "LSMA", "TRAMA", "VAR", "DEMA", "ZLEMA", "TSF", "WWMA". Thanks to the authors.
Thank you for your indicator “Optimized Trend Tracker”. © kivancozbilgic
Thank you for your programming language, indicators and strategies. © TradingView
Kind regards.
© Erebor_GIT
Heikin Ashi TSI and OTT [Erebor]TSI (True Strength Index)
The TSI (True Strength Index) is a momentum-based trading indicator used to identify trend direction, overbought/oversold conditions, and potential trend reversals in financial markets. It was developed by William Blau and first introduced in 1991.
Here's how the TSI indicator is calculated:
• Double Smoothed Momentum (DM): This is calculated by applying double smoothing to the price momentum. First, the single smoothed momentum is calculated by subtracting the smoothed closing price from the current closing price. Then, this single smoothed momentum is smoothed again using an additional smoothing period.
• Absolute Smoothed Momentum (ASM): This is calculated by applying smoothing to the absolute value of the price momentum. Similar to DM, ASM applies a smoothing period to the absolute value of the difference between the current closing price and the smoothed closing price.
• TSI Calculation: The TSI is calculated as the ratio of DM to ASM, multiplied by 100 to express it as a percentage. Mathematically, TSI = (DM / ASM) * 100.
The TSI indicator oscillates around a centerline (typically at zero), with positive values indicating bullish momentum and negative values indicating bearish momentum. Traders often look for crossovers of the TSI above or below the centerline to identify shifts in momentum and potential trend reversals. Additionally, divergences between price and the TSI can signal weakening trends and potential reversal points.
Pros of the TSI indicator:
• Smoothed Momentum: The TSI uses double smoothing techniques, which helps to reduce noise and generate smoother signals compared to other momentum indicators.
• Versatility: The TSI can be applied to various financial instruments and timeframes, making it suitable for both short-term and long-term trading strategies.
• Trend Identification: The TSI is effective in identifying the direction and strength of market trends, helping traders to align their positions with the prevailing market sentiment.
Cons of the TSI indicator:
• Lagging Indicator: Like many momentum indicators, the TSI is a lagging indicator, meaning it may not provide timely signals for entering or exiting trades during rapidly changing market conditions.
• False Signals: Despite its smoothing techniques, the TSI can still produce false signals, especially during periods of low volatility or ranging markets.
• Subjectivity: Interpretation of the TSI signals may vary among traders, leading to subjective analysis and potential inconsistencies in trading decisions.
Overall, the TSI indicator can be a valuable tool for traders when used in conjunction with other technical analysis tools and risk management strategies. It can help traders identify potential trading opportunities and confirm trends, but it's essential to consider its limitations and incorporate additional analysis for more robust trading decisions.
Heikin Ashi Candles
Let's consider a modification to the traditional “Heikin Ashi Candles” where we introduce a new parameter: the period of calculation. The traditional HA candles are derived from the open , high low , and close prices of the underlying asset.
Now, let's introduce a new parameter, period, which will determine how many periods are considered in the calculation of the HA candles. This period parameter will affect the smoothing and responsiveness of the resulting candles.
In this modification, instead of considering just the current period, we're averaging or aggregating the prices over a specified number of periods . This will result in candles that reflect a longer-term trend or sentiment, depending on the chosen period value.
For example, if period is set to 1, it would essentially be the same as traditional Heikin Ashi candles. However, if period is set to a higher value, say 5, each candle will represent the average price movement over the last 5 periods, providing a smoother representation of the trend but potentially with delayed signals compared to lower period values.
Traders can adjust the period parameter based on their trading style, the timeframe they're analyzing, and the level of smoothing or responsiveness they prefer in their candlestick patterns.
Optimized Trend Tracker
The "Optimized Trend Tracker" is a proprietary trading indicator developed by TradingView user ANIL ÖZEKŞİ. It is designed to identify and track trends in financial markets efficiently. The indicator attempts to smooth out price fluctuations and provide clear signals for trend direction.
The Optimized Trend Tracker uses a combination of moving averages and adaptive filters to detect trends. It aims to reduce lag and noise typically associated with traditional moving averages, thereby providing more timely and accurate signals.
Some of the key features and applications of the OTT include:
• Trend Identification: The indicator helps traders identify the direction of the prevailing trend in a market. It distinguishes between uptrends, downtrends, and sideways consolidations.
• Entry and Exit Signals: The OTT generates buy and sell signals based on crossovers and direction changes of the trend. Traders can use these signals to time their entries and exits in the market.
• Trend Strength: It also provides insights into the strength of the trend by analyzing the slope and momentum of price movements. This information can help traders assess the conviction behind the trend and adjust their trading strategies accordingly.
• Filter Noise: By employing adaptive filters, the indicator aims to filter out market noise and false signals, thereby enhancing the reliability of trend identification.
• Customization: Traders can customize the parameters of the OTT to suit their specific trading preferences and market conditions. This flexibility allows for adaptation to different timeframes and asset classes.
Overall, the OTT can be a valuable tool for traders seeking to capitalize on trending market conditions while minimizing false signals and noise. However, like any trading indicator, it is essential to combine its signals with other forms of analysis and risk management strategies for optimal results. Additionally, traders should thoroughly back-test the indicator and practice using it in a demo environment before applying it to live trading.
The following types of moving average have been included: "SMA", "EMA", "SMMA (RMA)", "WMA", "VWMA", "HMA", "KAMA", "LSMA", "TRAMA", "VAR", "DEMA", "ZLEMA", "TSF", "WWMA". Thanks to the authors.
Thank you for your indicator “Optimized Trend Tracker”. © kivancozbilgic
Thank you for your programming language, indicators and strategies. © TradingView
Kind regards.
© Erebor_GIT
Z Algo (Expo)█ Overview
Z Algo (Expo) is a sophisticated and user-friendly trading tool designed to meet the needs of both novice and seasoned traders. With its real-time signals, trend analysis, and risk management capabilities, this tool can be a valuable addition to any trader's toolkit.
█ Main Features & How to Use
Buy/Sell signals: Z Algo provides real-time buy and sell signals, which assist traders in identifying the most opportune moments to enter or exit a trade.
Strong Buy/Sell signals: In addition to regular buy and sell signals, the tool also offers strong buy and sell signals. These are generated when the market conditions align with a higher probability of a significant price movement.
Sniper Signals: This feature is specifically designed for contrarian traders who look to exploit temporary market inefficiencies or take advantage of price reversals. When enabled, Sniper Signals identify potential market turning points, offering traders the opportunity to profit from sharp price fluctuations.
Reversal Cloud: The Reversal Cloud is a unique visual representation of the market's potential trend reversals. It offers traders an easy-to-understand display of changing market dynamics, enabling them to quickly identify potential entry and exit points based on trend reversals.
Support and Resistance (S/R) Levels: Z Algo automatically calculates and displays support and resistance levels on the chart. These are crucial price points where buying or selling pressure may change, providing valuable insights for traders looking to enter or exit positions based on these levels.
Trend Tracker: This feature helps traders monitor and analyze the prevailing market trend. Trend Tracker identifies and highlights the direction of the trend, allowing traders to align their strategies accordingly and increase their chances of success.
Trend Background Color: To improve the user experience and simplify the interpretation of market data, Z Algo changes the chart's background color based on the identified trend direction. This visual cue makes it easier for traders to recognize bullish or bearish trends at a glance.
Bar Coloring: In addition to the trend background color, Z Algo also provides bar coloring for both contrarian and trend bars. This feature helps traders visualize price movements and trends more effectively, enabling them to identify potential opportunities for both trend-following and contrarian trading strategies.
Risk Management: The tool incorporates risk management features that help traders to protect their capital and maximize potential returns. Users can set stop-loss and take-profit levels, as well as customize their risk exposure according to their individual preferences and trading style.
█ Calculations
█ What are the Buy/Sell signals based on?
The Buy/Sell signals use volatility and price range with a weighting function that can help reduce lag and respond faster to recent price changes. The function gives more weight to the most recent volatility values and absolute price changes, making the algorithm more responsive to changes in volatility and price moves. Using a model that factors in both price changes and volatility gives a bias toward more recent data. This advanced approach to trading signal generation incorporates the concepts of trend following and mean reversion while accounting for changing market volatility.
Traditional systems often use fixed parameters, which may not adapt quickly to changes in market conditions. This can lead to late entries or exits, potentially reducing profitability or increasing risk. Our algorithm uses a weighting function to give more importance to recent volatility values, and absolute price changes can make these signals more responsive. This is especially useful in dynamic markets where price swings and volatility can change rapidly.
Adapting to Recent Price Changes: Markets can often exhibit trending behavior over certain periods. By weighing recent price changes more heavily, the model can quickly identify and react to the emergence of new trends. This can lead to earlier entries in a new trend, potentially increasing profitability.
Adapting to Recent Volatility Changes: Markets can shift from low to high volatility regimes (and vice versa) quite rapidly. A model that gives more weight to recent volatility can adapt its signals to these changing conditions. For example, in high volatility conditions, the model might generate fewer signals to reduce the risk of false breakouts. Conversely, in low volatility conditions, the model might generate more signals to capitalize on trending behavior.
Adaptive Trading: The approach inherently leads to an adaptive trading system. Rather than using fixed parameters, the system can adjust its behavior based on recent market activity. This can lead to a more robust system that performs well across different market conditions.
█ What are the Sniper signals (contrarian signals) based on?
Our contrarian signals are based on deviation from the expected value. The algorithm quantifies the amount of variation or dispersion in a set of values. Non-expected values are the fundamental core of the signal generation process.
█ Reversal Cloud Calculation
The cloud uses the information of how much the price fluctuates over a specific time period and updates its equilibrium value automatically at new price changes. The price changes are used to predict what will happen next, and the band adapts accordingly. The algorithm assumes that past price changes can predict future market behavior.
█ Support and Resistance (S/R) Levels Calculation
The support and resistance levels use historical overbought and oversold levels combined with a weighted atr function to predict future support and resistance areas. This calculation can potentially give traders a great heads-up on where the price may find support and resistance at.
█ Trend & Bar coloring Calculation
Trend calculations with dynamic events are key in ever-changing markets. The main idea of the calculation method is to find the mathematical function that best fits the data points, by minimizing the sum of the squares of the vertical distances of each data point from the equilibrium. The outcome is a function that finds the best mathematical description of that data. Hence the trend output may vary depending on the asset and timeframe. A unique approach where the same settings can give different results.
█ Risk Management Calculation
The risk management system is not unique in itself and contains everything that can help traders to manage their risk, such as different types of stop losses, Take Profits calculations.
-----------------
Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Платный скрипт
FlashTrade 20 Asset ScreenerThe FlashTrade 20 Asset Screener is a powerful screening tool written in Pinescript and designed for use in Tradingview. It simultaneously monitors a combination of seven (7) lagging and three (3) leading indicators for twenty (20) assets, such as; stocks, cryptocurrencies, or forex pairs.
The screener sends summarized numeric data as an alert to external programs that specialize in automated trading. This proprietary technology developed by the algorithmic trading firm known as FlashTrade.AI is now integrated with the rules-based trading platform TradeLab.AI.
The lagging indicators tracked by the screener are as follows:
1. The 8 Period Exponential Moving Average (8EMA): It determines whether it is over or under the 21 Period Exponential Moving Average (21EMA).
2. Two Closes of the 8 Period Exponential Average (8EMA): This confirms a trend as either bullish or bearish when it occurs over or under the 21 Period Exponential Moving Average (21EMA).
3. Ichimoku Cloud: This indicator identifies whether the price is above or below the cloud, indicating bullish or bearish trends.
4. Ichimoku Cloud: Conversion Line Above Base or Conversion Line Below Base: This measures the trend strength based on the distance between the conversion line and the base line.
5. Ichimoku Cloud: Lag Line Above Price or Lag Line Below Price: This tracks the lag line's position relative to the current price to confirm trend direction.
6. Ichimoku Cloud: Leading Cloud Green or Leading Cloud Red: This identifies the trend based on the color of the leading cloud.
7. MACD: This oscillator tracks the difference between two exponential moving averages and helps identify bullish or bearish momentum in the market.
The screener also tracks three leading indicators that primarily measure trading volume and momentum. These leading indicators are:
1. The Relative Strength Index (RSI): This oscillator measures the speed and change of price movements to identify overbought or oversold conditions in the market.
2. The Stochastic: This oscillator measures the momentum of price movements and helps identify potential trend reversals in the market.
3. The relative Vigor Index (RVGI): This indicator measures the strength of price movements by comparing the closing price to the trading range and helps identify trend reversals.
Overall, the FlashTrade 20 Asset Screener is a powerful tool for traders looking to automate their trading strategies. By monitoring multiple indicators for multiple assets simultaneously, it can identify trends and capitalize on opportunities when they present themselves.
Portfolio_Tracking_TRThis is a portfolio tracker that will track individual, overall and daily profit/loss for up. You can set the size of your buys and price of your buys for accurate, up to date profit and loss data right on your chart. It works on all markets and timeframes.
Next we get into setting up your , order size and price. Each ticker lets you set which stock you bought, then set how much you purchased and then what price you purchased them at.
FEATURES
Top Section
The portfolio tracker has 2 sections. The top section shows each ticker in your portfolio individually with the following data:
- Ticker Name
- Weight of that asset compared to your total portfolio in %
- Current value of that position in TL
- Profit or loss value from purchase price in %
- Todays change in value from yesterday’s close in %
Bottom Section
The bottom section of the tracker will give you info for your portfolio as a whole. It has the following data:
- Total cost of your entire portfolio in TL
- Current value of your entire portfolio in TL
- Current profit or loss of your entire portfolio in TL
- Current profit or loss of your entire portfolio in %
- Todays change of your entire portfolio value compared to yesterday’s close in %
This indicator was compiled from FriendOfTheTrend's indicator named Portfolio Tracker For Stocks & Crypto.
Prophit Ninja: Hidden ScrollStay ahead of the markets moves with "Prophit Ninja: Hidden Scroll".
Our legendary senseis have mastered the arts of wielding the Katana and Shuriken over many decades of focused practice and distilled their systems and techniques down to their most vital form- storing their knowledge in this ancient scroll for easy adoption by any ninja practiced enough to be able to decipher it.
═════════════════════════════════════════════════════════════════════════
█ INTERPRETATION
Each sub-indicator in this package can be used as a confirmation tool to check your bias and give you a more informed decision as they all take into account every reading shown and not shown being calculated across all Prophit Ninja packages. A sentiment rating below the candle shows bullish bias while a green color emphasizes bullish strength- a sentiment rating above the candle shows bearish bias while a red color emphasizes bearish strength- gold color signifies a strong turn in the market while grey/dark grey is a weak reading. A green trend sensei reading is bullish- while a red trend sensei reading is bearish. A green bull trade sensei label signifies a possible bullish trade set up, while a red bear label trade sensei signifies a possible bearish trade set up. Stat sensei gives you tick by tick multi-time frame readings to always keep you aware of the exact environment you're in. Lastly risk sensei will give you the most optimal least risk trade set-up based on user defined variables and give you tick by tick readings of your trade status. This can be used as a standalone decision-maker, or used in confluence with other indicator packages in our Prophit Ninja bundle to get higher precision.
═════════════════════════════════════════════════════════════════════════
█ OVERVIEW
1 — Sentiment Sensei: A toggle-able tick by tick rating system (0-100%) for each candle based on over 100 individual readings .
2 — Trend Sensei: A toggle-able background coloring that easily shows you the trend bias behind the moves.
3 — Trade Sensei: A toggle-able trade finder that finds confluent trade set-ups to give you the upper hand.
4 — Stat Sensei: A toggle-able multi-time frame candle progress tracker with a built in trend bias and price/volume/momentum change/ratio trackers.
5 — Risk Sensei: A toggle-able risk manager with two variations of auto profit target zones , three variations of trailing stop losses , a win/loss tracker , trade duration timer and all the information you need to stay updated with the status of your trade at a glance whether long or short.
═════════════════════════════════════════════════════════════════════════
█ EASY CUSTOMIZATION
i.imgur.com
With a fully customizable and easy-to-use input menu , this indicator gives you the ability to tailor your trading experience to your needs and see as much (or as little) information as you want to; presented in the manner you deem most viable with the following options in just a few clicks:
Indicator Package- This option allows you to switch between the four display modes available so in any moment you can completely change the metrics you’re reading in just two clicks. This allows you the ability to make decisions based on not only what you’re comfortable with; but also to find confirmation or disagreement with other systems instantly.
Color Theme- There are four color themes available which include original, colorful, monochrome and solid. These not only allow you a quick and easy way to change the colors to suit your style; they also make it so you can challenge your bias in an instant by viewing the data in a completely different way.
Dual Attack Modes- Whether you’re a scalper, day trader, swing trader, or investor; this option allows you to see the chart based on four different risk tolerance/time expectancy mentalities for the Katana and Shuriken separately in just two clicks. Investors can see what the scalpers are thinking and vice/versa to broaden their decision making and/or hone in when optimal.
Dual Sharpness Levels- This algorithm allows the user to display the data on five different smoothness levels for the Katana and Shuriken separately without suffering the inherent lag that accompanies most other indicators. Whether you like to see every tick of a choppy movement, or filter out the false signals into smooth readings, you can do so at any moment.
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█ RISK SENSEI EXAMPLE
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█ PRE-BUILT ALERTS
With Prophit Ninja: Hidden Scroll's built-in alerts you can enable alerts for any piece of the Hidden Scrollin just a few clicks. These alerts are way more specific and optimized than you can possibly achieve with the custom alert settings. Each checking for multiple possible activation triggers instead of one and populating the message field automatically so you can just click create.
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As you can see; this ancient scroll has the ability to adapt to any reader or adversary and give those in control of its power the upper hand. Any mode of battle, any opponent, any circumstance- 'Prophit Ninja: Hidden Scroll' was polished by our finest artists to inform any reader and make sure they know when to attack, defend or simply allow the fight to play out by its easy-to-read coloring system. As long as you learn the techniques you'll have a much better chance of making the right decision than when you didn't.
This state-of-the-art tool is great for experienced traders, those who just started learning to trade, or anyone in between- truly made to suit the needs of any trader, in any moment, with any mindset (along with the other indicators in our Prophit Ninja bundle) you'll notice an immediate improvement in your market dexterity after learning it.
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*everything displayed is part of the Prophit Ninja indicator bundle; this is an otherwise blank chart*
[blackcat] L5 Whale Jump Screener 12 AlertsLinkage Authorization:
When you obtain any one of the following technical indicators authorization, the other one will automatically obtain a free authorization for the same length of time:
1. L5 Whale Jump Screener 25 NoAlerts
2. L5 Whale Jump Screener 12 Alerts
Discount Authorization:
While you are authorized for any of the following technical indicators, this indicator will only need to pay 200TVC (not per month) but you obtain the authorization length as long as your longest one among all invited-only indicators .
1. L5 Whales Jump Out of Ocean X
2. L5 Zen Master
Level: 5
Background:
L5 Whale Jump Screener 12 Alerts is a screeener which is based on principle of L5 Whales Jump Out of Ocean X, but it has its own scheme to work as a screener with alerts, which can track 12 trading pairs at the same time. With this indicator, you can track target in your list with remote alerts from TV to your mobile or emails.
At beginning, I want to incorporate this function to "L5 Whale Jump Screener 25 NoAlerts". However, I found it rather difficult to make it happen. One reason is that adding alerts will further increase computing power of it so that TV will not be functional for overloaded indicators. The only way to make a screen plus alerts happen is to reduce the number of targets allowed in the screener until TV rules are in compliance. The other reason is that I found alerts were conflicting with screener function in TV system during my testing. Because if you put many trading pairs that are highly correlated into inputs of the screener indicator. Huge amount of alerts may be produced at the same time, and TV system has its own protection scheme. If too many alerts happened at the same time, it will block and stop the alert scheme immediately. Therefore, I build this one for anyone who need alert function. But, remember, make input tikerids as NOT correlated as possible to prevent TV to shut down your alert for this indicator.
Function:
By tracking multiple targets with alerts, you will own the capability to tracking multiple markets. This ability will let you know the specific situation of the unconnected market and the trading targets in time in the rotating transaction. The alert function will remind you of the current status of multiple markets via mobile phones and emails.
Inputs:
12 tickerids for your customization
Key Signal:
Long Whales / Banker Pump--> fuchsia color area with 0% transparency
Close Long Whales / Close Banker Pump--> red color area with 0% transparency
Short Whales / Banker Dump --> yellow color area with 0% transparency
Close Short Whales / Close Banker Dump --> green color area with 0% transparency
Long Waves Start--> fuchsia color area with 50% transparency
Short Waves Start --> yellow color area with 50% transparency
No Whale or Wave Signal --> gray color rea with 50% transparency
Pros and Cons:
ONLY suitable for discretionary trading, and does NOT support automatic trading system/bots with alerts.
Intuitive and effective, the output signal is more reliable after multi-indicator resonance
For who does not alert function but track more targets, you can choose anther indicator: L5 Whale Jump Screener 25 NoAlerts.
Why 12 Targets are Supported?
From the principle of TV principle, it should be possible to track up to 40 targets at the same time. However, TV has another condition that restricts server computing resources. When the two condition work at the same time, for the whale jump algorithm, the number of targets it can track at the same time will drop from 40 to about 26~27! In addition, this indicator needs to support the display function from the daily time frame to the 1min time frame. Therefore, the requirements for computing resources have further deteriorated. In the end, the maximum tracking number I obtained by compromise is 25 to ensure that this indicator can support 1min or second level normal display without report an error. Based on above fact, adding alerts will further increase computing power needed for this indicator. To prevent TV shutdown this indicator w/ alerts, only 12 tickerids are supported based on this algorithm. Also, due to quite different user scenarios between these two screeners, two versions are published for different group of traders with a linkage authorization schmeme.
Remarks:
My fourth L5 indicator published
Closed-source
Invite-only
Redeem Fee Life Lock Guarantee
Although I take the efforts to inform the script requesters that the best way to promote trading skills is to learn from the open source scripts I released by themself and to improve their PNIE script programming skills, there are still many people asking how to obtain or pay to use BLACKCAT L4/L5 private scripts. In fact, I do not encourage people to use Tradingview Coins ( TVC ) / Cryptocurrency to redeem the right to use BLACKCAT L4/L5 scripts. However, redeeming private script usage rights through TV Coins/ Cryptocurrency may be an effective way to force more people to learn PINE script programming seriously. And then I can concentrate on answering more valuable community questions instead of being overwhelmed by L4/L5 scripting permission reqeusts.
I would like to announce a ‘Redeem Fee Lock Guarantee’ program to further simplify the L4/L5 indicator/strategy utility offering and distinguish itself from the competition. ‘Redeem Fee lock guarantee’ is one of the major initiatives by BLACKCAT as a part of overall value packaging designed to guard BLACKCAT’s followers’ against cost-overruns and operational risks usually borne by them when it comes to PINE script innovation ecosystem. The TVCs redeemed for L4/L5 a follower signs up for with BLACKCAT is their guaranteed lifetime locked in TVC Quantity/ cryptocurrency, with no special conditions, exclusions and fine print whatsoever. Based on this scheme, I can constantly refine, expand, upgrade and improve PINE script publishing to ensure the very best experiences for my followers. The 'Redeem Fee Lock Guarantee' is a step in the direction of rewarding the valuable followers. NOTE: Every L4/L5 script redeeming service is ONLY limited to TVC or Cryptocurrency ("Win$ & Donate w/ This" Addresses displayed on script page) redeeming which the 1st signed up TVC Qty/ equivalent cryptocurrency is the lifetime offered TVC Qty/ equivalent crypto.
How to subscrible this indicator?
The script subscription period only has two options of one month or one year, and its price is floating. The latest price of the script subscription is proportional to the number of likes/agrees this script has already received. Therefore, the price of subscribing to this script shows an increasing trend, and the earliest subscribers can enjoy the price of lifetime lock to this script. As the number of likes / agrees of this script increases, the subscription fee for one month and one year will also increase linearly. Whatever, the first subscription price of the use will be locked for life.
Monthly subscription and annual subscription can be done either by tradingview coins ( TVC ) or by converting into equivalent cryptocurrency at the exchange rate (1TVC=0.01USD) for redeem.
TVC payment needs to pay TVC directly in the comments under this script. Every time I authorize a new user, I will update the latest number of subscribed users and latest price for next subscription under the script comment. If there are any conflicting scenario happened to the rules and my update. My updated price based on the rule will be the final price for next subscription. The following subscribers need to pay the corresponding amount of TVC or cryptocurrency in accordance with the latest number of users and price announced by me in accordance with the rules published.
TVC redemption is the method I strongly recommend, and I hope you can complete the redemption in the comment area of this script. This is like a blockchain structure, each comment is a block, each subscription is a chain, which is conducive to open and transparent publicity and traceability to avoid unnecessary disputes.
Monthly Subscription Charges
500TVC <50 Agrees (A)
50A<850TVC<100A
100A<1000TVC<150A
150A<1350TVC<200A
200A<1500TVC<250A
250A<1850TVC<300A
300A<2000TVC<350A
350A<2350TVC<400A
400A<2500TVC<450A
450A<2850TVC<500A
500A<3000TVC<550A
550A<3350TVC<600A
600A<3500TVC<650A
650A<3850TVC<700A
700A<4000TVC<750A
750A<4350TVC<800A
800A<4500TVC<850A
850A<4850TVC<900A
900A<5000TVC<950A
950A<5350TVC<1000A
1000A<5500TVC<1050A
And so on...
Annual Subscription Charges
5000TVC <50 Agrees (A)
50A<8500TVC<100A
100A<10000TVC<150A
150A<13500TVC<200A
200A<15000TVC<250A
250A<18500TVC<300A
300A<20000TVC<300A
350A<23500TVC<400A
400A<25000TVC<450A
500A<28500TVC<550A
500A<30000TVC<550A
550A<33500TVC<600A
600A<35000TVC<650A
650A<38500TVC<700A
700A<40000TVC<750A
750A<43500TVC<800A
800A<45000TVC<850A
850A<48500TVC<900A
900A<50000TVC<950A
950A<53500TVC<1000A
1000A<55000TVC<1050A
And so on...
[iQ]PRO Market Structure+ 🚀 PRO Market Structure - Unlocking the Language of the Market
A premium, institutionally-inspired indicator meticulously engineered to decode the complex dynamics of price action and market structure in real-time.
The PRO Market Structure tool provides a clear, objective framework for identifying and tracking the crucial swing points that define market trends. Designed for traders who demand precision, this indicator automatically maps out the high-probability levels of support and resistance, transforming raw price data into actionable structural intelligence.
🧠 Core Intelligence
This advanced tool employs a sophisticated, proprietary logic to pinpoint confirmed market swing highs and swing lows (HH, HL, LH, LL). Unlike simpler methods, our unique state-machine algorithm handles market noise and consolidations with exceptional resilience, ensuring the plotted structure is robust and reliable.
Dynamic Pivot Detection: Utilizes adjustable look-back periods to confirm significant swing points, ensuring you are focused only on structural moves that matter.
Sequential Structure Tracking: The indicator maintains a rigorous internal state, tracking the sequence of structure breaks to distinguish between continuous trend moves and potential reversals.
🔥 Actionable Signal Generation
Move beyond static charting with immediate, intelligent alerts for critical shifts in market control.
BOS (Break of Structure): Automatically detects and marks powerful confirmations of a continuing trend, signaling momentum and directional strength.
CHoCH (Change of Character): Clearly identifies the initial warning signs of a potential trend reversal, highlighting the critical structural level where market balance shifts from bulls to bears, or vice-versa.
Precision and Customization: Signals are generated based on a choice between wick or close penetration, combined with an optional buffer to filter out noise and guarantee high-confidence breaks.
📊 Multi-Timeframe (MTF) Mastery
Gain an unparalleled bird's-eye view of the market with the integrated MTF Structure Panel.
Holistic Context: Simultaneously monitors key market structure on up to three user-defined timeframes, providing essential confluence for high-conviction trade entries.
Advanced Evaluation: The MTF panel offers a proprietary assessment of Trend, Status (BOS/CHoCH), Retracement Percentage, and Key Break Levels for each timeframe, streamlining your top-down analysis into a single, comprehensive view.
✨ Key Features at a Glance
Real-time Level Plotting: Optional plotting of current structural levels (HH, HL, LH, LL) acts as dynamic guides for price action.
Customizable Aesthetics: Full control over colors, line styles, and labeling to integrate seamlessly with your charting setup.
Performance Optimization: Efficient use of Pine Script features, managing object counts to ensure smooth, lag-free operation even on lower timeframes.
The PRO Market Structure is not just an indicator; it is your dedicated structural analyst, providing the objective edge required to navigate complex markets with confidence.
KOBK KILLSHOT PRO V 1.0KOBK KILLSHOT PRO is an advanced trading system that combines multiple layers of technical analysis into one powerful, easy-to-use indicator. Whether you're scalping on lower timeframes or swing trading, this indicator provides crystal-clear entry and exit signals backed by comprehensive market analysis.
## 📝 **TradingView Publication Description**
---
### **Title:**
**KOBK KILLSHOT PRO - Advanced Multi-Timeframe Signal System**
---
### **Short Description:**
Professional-grade trading indicator combining multiple proprietary confirmation layers for high-probability entries and exits. Features intelligent signal quality rating, real-time dashboard, and adaptive exit strategies. Designed for serious traders who demand precision.
---
### **Full Description:**
**KOBK KILLSHOT PRO** is an advanced trading system that combines multiple layers of technical analysis into one powerful, easy-to-use indicator. Whether you're scalping on lower timeframes or swing trading, this indicator provides crystal-clear entry and exit signals backed by comprehensive market analysis.
---
## 🎯 **KEY FEATURES:**
**Smart Signal System:**
- Clear BUY and SELL labels appear directly on your chart
- Quality rating system (★★★★★) shows signal strength
- Early warning dots alert you to potential setups before they trigger
- Color-coded bars show trend direction at a glance
**Real-Time Dashboard:**
- Live ENTRY SIGNAL status (🟢 BUY NOW / 🔴 SELL NOW / ⏳ WAIT)
- Live EXIT SIGNAL status (🟠 EXIT NOW / ✋ HOLD)
- Current position tracking (LONG/SHORT/FLAT)
- Multiple confirmation indicators displayed in real-time
- Trend, momentum, and strength metrics updated every candle
**Flexible Exit Strategies:**
Choose from three exit modes:
- **Flip Mode:** Exit when opposite signal fires (simplest)
- **Momentum Shift:** Exit when momentum changes (faster)
- **Trail Lock:** Trailing stop that locks in profits (let winners run)
**Professional Visuals:**
- Clean, uncluttered chart interface
- Customizable colors and display options
- Toggle individual components on/off
- Works on any timeframe from seconds to daily
---
## 📊 **HOW TO USE IT:**
### **FOR BEGINNERS:**
**Step 1: Add to Chart**
- Apply KOBK KILLSHOT PRO to your chart
- Default settings work great for most traders
- Recommended timeframes: 15-second to 15-minute for active trading
**Step 2: Watch for Signals**
- **GREEN "BUY" label** = Enter LONG position
- **RED "SELL" label** = Enter SHORT position
- **Orange "EXIT" X** = Close your position
- Check the dashboard in top-right corner for confirmation
**Step 3: Follow the Quality Rating**
- **★★★★★ (5 stars)** = Highest probability setup - take these!
- **★★★★☆ (4 stars)** = Strong setup - good to trade
- **★★★☆☆ (3 stars)** = Decent setup - use caution
- **Lower ratings** = Skip unless very experienced
**Step 4: Use the Dashboard**
The live HUD tells you everything you need:
- **Entry Signal:** Shows when to enter (BUY NOW / SELL NOW / WAIT)
- **Exit Signal:** Shows when to exit (EXIT NOW / HOLD)
- **Position:** Tracks if you're LONG, SHORT, or FLAT
- **Quality:** Current signal strength rating
---
### **FOR ADVANCED TRADERS:**
**Customization Options:**
- Adjust signal sensitivity via Key Value parameter
- Control ATR period for different market conditions
- Enable/disable individual filter components
- Choose signal quality threshold (Maximum/High/Medium/Standard)
- Select preferred exit strategy based on trading style
**Filter System:**
The indicator includes multiple proprietary filters that can be toggled individually:
- Trend alignment filters
- Momentum confirmation filters
- Volatility filters
- Flow strength analysis
- Key zone detection
**Signal Quality Control:**
Set minimum quality requirements:
- **Maximum:** Only 5-star signals (very selective)
- **High:** 4-star minimum (recommended for most)
- **Medium:** 3-star minimum (more opportunities)
- **Standard:** 2-star minimum (active trading)
- **All Signals:** Every signal (experienced only)
---
## ⚙️ **RECOMMENDED SETTINGS:**
**For Scalping (15-second to 1-minute charts):**
- Key Value: 1.0
- ATR Period: 10
- Signal Quality: High (4-star minimum)
- Exit Mode: Flip or Momentum Shift
**For Day Trading (5-minute to 15-minute charts):**
- Key Value: 1.0 to 1.5
- ATR Period: 14
- Signal Quality: High
- Exit Mode: Trail Lock
**For Swing Trading (1-hour+ charts):**
- Key Value: 1.5 to 2.0
- ATR Period: 14-20
- Signal Quality: Maximum (5-star only)
- Exit Mode: Trail Lock
---
## 🎮 **SIMPLE TRADING RULES:**
1. **Wait for the signal** - Don't predict, let the indicator tell you
2. **Check the stars** - Higher quality = higher probability
3. **Verify the dashboard** - Make sure Entry Signal shows BUY NOW or SELL NOW
4. **Enter immediately** - When signal fires, don't hesitate
5. **Follow the exit** - When EXIT NOW appears, close the position
6. **Be disciplined** - Trust the system, don't override it
---
## ⚠️ **IMPORTANT NOTES:**
- **Not a holy grail:** No indicator is perfect. Use proper risk management.
- **Backtest first:** Test on demo/paper account before using real money.
- **Position sizing matters:** Never risk more than 1-2% per trade.
- **Market conditions vary:** Some days are better than others.
- **Combine with fundamentals:** Technical signals work best with good market context.
---
## 🔧 **DISPLAY OPTIONS:**
Toggle on/off as needed:
- Live Dashboard (HUD)
- Signal Quality Stars
- Early Warning Signals
- Key Zone Markers
- Trend Lines
- Additional confirmation indicators
---
## 📈 **BEST MARKETS TO USE:**
Works on any liquid market:
- Futures (NQ, ES, YM, etc.)
- Forex pairs (major and minor)
- Crypto (BTC, ETH, etc.)
- Stocks (high volume)
- Indices
---
## 💡 **PRO TIPS:**
1. **Start with higher quality settings** (4-5 stars only) until you're comfortable
2. **Use the early warning dots** to prepare for entries (get your finger ready)
3. **Pay attention to the dashboard trend indicator** - trade with the trend
4. **Don't trade during major news events** - wait for clear market direction
5. **Keep a trading journal** - track which star ratings work best for your style
6. **Adjust Key Value if needed** - higher = fewer signals, lower = more signals
---
## 🎯 **WHAT MAKES THIS DIFFERENT:**
Unlike simple indicators that just draw lines or show one metric, KOBK KILLSHOT PRO combines multiple proprietary analysis layers into one cohesive system. The intelligent filtering ensures you only see high-probability setups, while the real-time dashboard keeps you informed of market conditions every step of the way.
The star rating system is particularly powerful - it instantly tells you how many confirmation factors are aligned, so you can make quick decisions about which signals to take and which to skip.
---
## 📞 **SUPPORT:**
For questions, setup help, or optimization tips, feel free to reach out via TradingView messages. I'm here to help you succeed with this system!
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**Disclaimer:** This indicator is for educational and informational purposes only. Trading involves substantial risk. Past performance does not guarantee future results. Always use proper risk management and never trade with money you can't afford to lose.
---
## 🏆 **START TRADING SMARTER TODAY**
FVG DUAL HTF ALERTS FINAL DG FVG Dual HTF - Advanced Fair Value Gap Detector with Confluence & Strength Analysis
Professional-grade Fair Value Gap (FVG) detection system designed for precision trading on Gold and other instruments.
🎯 Key Features
Dual Higher Timeframe Analysis
HTF1 & HTF2 Detection: Simultaneously monitors two higher timeframes (default: 15min & 60min) for Fair Value Gaps
Multi-timeframe Confluence: Automatically detects when FVGs align across multiple timeframes for high-probability setups
Customizable Timeframes: Choose from 5min, 15min, 60min, 4H, or Daily for each HTF
Intelligent Strength Scoring System (0-11 Scale)
Our proprietary algorithm rates each FVG based on:
Gap size relative to ATR
Volume analysis vs. average
Current timeframe confluence (★ symbol indicates FVG exists on your chart timeframe)
Session timing (London & New York priority)
HTF confluence bonus
Color-Coded Ratings:
🟢 Lime (8-11): Premium strength - highest probability setups
🟡 Yellow (5-7): Good strength - solid opportunities
⚪ Gray (0-4): Weak strength - proceed with caution
Sweet Spot Entry Zones
Inner Box Technology: Highlights the optimal 10% entry zone within each FVG
BUY/SELL Labels: Clear visual cues for directional bias
Automatic Entry/Stop/Target Lines: Shows precise risk-reward setups on the 3 nearest FVGs
Position Sizing Calculator: Displays dollar values based on your lot size
Advanced Fill Methods
Choose how FVGs are invalidated:
Wick Sweep: Most conservative - requires price to sweep through the gap
Any Touch: Price touches the FVG boundary
Midpoint Reached: 50% fill required
Body Beyond: Strictest - candle body must close through the gap
Comprehensive Market Intelligence Table
Real-time monitoring of:
Gold Daily & Hourly Bias (with pip movement)
BTC Daily & Hourly Bias (optional)
Distance to nearest Bull/Bear FVGs
IN ZONE Indicator: 🔥 Alerts when price enters premium sweet spots
Shows strength rating and HTF source
Color-coded: Premium / Good / Weak / Out
Professional Alert System
HTF1 & HTF2 Zone Entry Alerts
Sweet Spot Entry Alerts (BUY/SELL)
High-Strength FVG Alerts (8+ rating)
Combined "ANY HTF" alerts for maximum flexibility
📊 Default Configuration
Optimized for Gold (XAU/USD) on 3-minute charts
Session Focus: London (8am-12pm GMT) & New York (1:30pm-4pm GMT)
Risk Management: Built-in R:R calculator with customizable stops and targets
🎨 Customization Options
Multiple color schemes for bull/bear zones
Adjustable inner box percentage
Confluence highlighting (bright colors when HTF1 & HTF2 align)
Show/hide individual components
BTC correlation tracking (optional)
⚙️ Technical Specifications
Maximum Display: Up to 50 FVGs per type (HTF1 Bull/Bear, HTF2 Bull/Bear)
Fill Tracking: Monitors touched vs. untouched zones
Lookback Period: Configurable (default: 100 bars for current TF confluence)
Body Close Requirement: Optional strict mode for cleaner signals
📈 Best Used For
Gold (XAU/USD) day trading
Institutional order flow analysis
High-probability reversal setups
Multi-timeframe confirmation strategies
Risk-reward optimization
🔒 Access & Support
This is a private indicator. Contact the owner for details about access and usage.
Disclaimer: This indicator is a tool for technical analysis. Past performance does not guarantee future results. Always use proper risk management and trade responsibly.
Short Version (if space is limited):
FVG Dual HTF - Professional Fair Value Gap System
Advanced FVG detector with dual higher timeframe analysis, intelligent strength scoring (0-11), and multi-timeframe confluence detection. Features sweet spot entry zones, automatic R:R lines, real-time IN ZONE alerts, and comprehensive market intelligence table.
Highlights:
🎯 Dual HTF monitoring (15m/60m default)
⭐ Strength scoring with current TF confluence (★)
📊 Color-coded ratings: Lime (8+) / Yellow (5-7) / Gray (<5)
🎨 Sweet spot inner boxes with BUY/SELL signals
🔔 Professional alert system
💰 Built-in position sizing calculator
📈 Gold Daily/Hourly + BTC bias tracking
Optimized for Gold and BTC. Multiple fill methods, customizable colors, and extensive settings.
Contact owner for access details.
LHAMA MTF Structure & Fibs [LTS]Overview
LHAMA MTF Structure & Fibs is a multi-purpose market structure toolkit that combines current-timeframe structure, higher-timeframe structure, Imbalance/FVG-based order blocks, and automatic Fibonacci retracements into a single chart overlay.
Current-Timeframe Structure
The indicator first maps current-timeframe market structure using swing highs and lows based on a user-defined pivot length (“Time-Horizon”):
Labels swing points as HH , HL , LH , and LL .
Draws BOS (Break of Structure) when price breaks beyond a prior swing.
Optionally identifies CHoCH (Change of Character) when a break occurs against the previous direction.
Lets you choose whether BOS/CHoCH confirmation uses closes or wicks .
Provides options to show/hide swing labels, choose line style (solid/dashed/dotted), and configure bullish/bearish colors.
Higher-Timeframe (HTF) Structure
On top of the local structure, the script builds a higher-timeframe structure map and projects it onto your active chart:
Aggregates price into HTF “bars” (e.g., 4h structure on a 5m chart).
Detects HTF pivots with their own pivot length setting.
Draws HTF BOS/CHoCH lines and labels back on the lower timeframe.
Lets you choose wick vs close confirmation for HTF breaks.
Optional “ pending ” HTF levels: lines extended from the latest HTF swing highs/lows that remain “waiting” until price breaks them.
This is designed to make it easier to see how intraday price is moving relative to the dominant higher-timeframe trend.
Order Blocks (Imbalance/FVG-Based)
The indicator detects simple bullish and bearish order blocks based on fair value gaps and prior sweeps:
Identifies bullish/bearish FVGs together with a sweep of a previous low/high.
Creates colored boxes anchored to an “anchor” candle and extends them forward.
Marks boxes as “broken” when price trades inside or through the opposite side.
Broken blocks can have reduced emphasis (more transparent, dashed border) and can optionally be deleted.
Show Nearest Only mode highlights only the closest active bullish and bearish blocks to reduce chart clutter.
Periodic cleanup removes very old boxes to maintain chart responsiveness.
Automatic Fibonacci Levels
The script can draw up to five customizable Fibonacci retracement levels using the HTF structure logic:
Measures swings using HTF pivots and extremes.
Historical mode : measures between two confirmed pivots in one direction.
Live mode : starts from the last confirmed pivot and tracks the evolving extreme; if price reverses through that pivot, measurement can flip to track the new leg.
Each Fib level has its own on/off toggle, ratio value, and color.
Draws a main swing line plus retracement lines projected slightly into the future.
Key Inputs & Customization
Market Structure (Current TF)
Pivot length (“Time-Horizon”).
BOS confirmation: candle close or wicks.
BOS/CHoCH line style and width.
Swing labels on/off and global label size.
Bullish/bearish colors.
Market Structure (HTF)
HTF timeframe selection.
Separate pivot length for HTF swings.
Close vs wick confirmation for HTF breaks.
HTF swing labels and CHoCH labels on/off.
Pending HTF levels: style, color, and visibility.
Order Block Settings
Bullish/bearish box colors and border width.
Maximum number of boxes to display.
Optional deletion of broken blocks.
“Show Nearest Only” filter to highlight the closest active zones.
Max bars to backscan for the anchor candle.
Cleanup frequency for removing very old boxes.
Fibonacci Settings
Show/hide auto Fibs.
Historical vs Live tracking mode.
Five user-defined ratios with individual toggles and colors.
Dix$ons Tackle BoxDixsons Tackle Box — Multi-Tool Trend & Levels Suite (MA/EMA + VWAP + BB + Adaptive Trend Channels + Auto Fibs)
---
**Dixsons Tackle Box** is an all-in-one overlay for traders who want a clean chart with *stacked edge* instead of stacked indicators.
It combines:
* A **5-slot MA/EMA pack** with live slope % labels and MTF smoothing
* A **full VWAP engine** with event-based anchors, trend angle coloring, and VWAP bands
* **Bollinger Bands** with volatility-aware coloring and optional gradient background
* A **Short-Term & Long-Term Adaptive Trend Channel (ATC)** with automatic period detection, log-regression channels, and performance tables
* A **Dixson Auto Fibonacci suite**: ATR-based “rail” Fibs + Lookback Fibs off HH/LL, both driving a shared, fully customizable Fib bank
Everything is controlled logically by feature groups under the **“Tackle Box”** section, so you can quickly turn modules on/off and tune the tool to your style (scalp, intraday, swing, or position).
> **Important:** This is an analysis/visualization tool only. Nothing here is financial advice or an automatic trading system. Always test and manage risk yourself.
---
## 1. MA/EMA Pack — 5 Smart Averages with Slope %
**Group:** `Tackle Box` + per-slot groups `MA/EMA 1` … `MA/EMA 5`
**Main toggle:** `Enable MA's`
**Per-slot master row:** `_maRow1` … `_maRow5`
### What it does
This module gives you **five independent MA/EMA slots**, each with:
* Its own **type** (MA or EMA)
* **Length**, **color**, **line width**, and **plot style** (`Solid`, `Step`, or `Circles`)
* **Timeframe per slot** (MTF)
* Rich **label controls** (slope %, length/type text, timeframe text, etc.)
* **Label size** per slot (`tiny → huge`)
On top of that, each average has a **live slope % readout**, normalized by instrument tick size, so you can compare trend steepness across assets.
### Key features
* **Master slot row (1–5):**
In the `Tackle Box` group you have `_maRow1`–`_maRow5` toggles. These gate each slot globally, so you can quickly show/hide specific MAs without digging into each slot.
* **MTF Smoothed Mode:**
* `MTF Smoothed Mode` (on by default) makes higher-timeframe MAs **update only when the HTF bar closes (and on the last bar)**.
* That reduces the stair-stepping noise you often get when pulling HTF data onto an LTF chart, while still giving you accurate levels and a smooth, tradeable line.
* **Per-slot label text controls:**
Each MA group has toggles to control exactly what the label shows:
* `Show Label` – show/hide label entirely
* `Slope` – append slope % to the label
* `Len+Type` – show e.g. `50EMA` or `200MA`
* `TF` – show HTF name if the slot is on an MTF
* `'slope' text` – optionally include the word `slope` in the label
* **Slope % (angle) logic:**
Slope for each MA uses a normalized **“angle %” in **, based on the 1-bar change vs `syminfo.mintick`.
* Big positive values = strong uptrend
* Big negative values = strong downtrend
* Near zero = flat/neutral
This makes it easy to build rules like:
* “Only trade long if the **50EMA slope** is above +20% and price is above VWAP”
* “Take profit if slope on my faster MA collapses back toward 0.”
### Typical use
* Slot 1–2: **fast intraday EMAs** (e.g., 9 / 20 EMA)
* Slot 3–4: **structural EMAs/MAs** (e.g., 50 / 200)
* Slot 5: a **dedicated MTF trend filter** (e.g., 5-minute or 1-hour EMA on a 1-minute chart)
---
## 2. VWAP Engine + Bands — Anchor-Aware, Angle-Aware VWAP
**Group:** `Enable VWAP` + `------ VWAP Settings ------`, `Bands Settings`, `Color Settings`
### Core VWAP
* **Anchors:**
`Anchor Period` lets you choose where each VWAP reset starts:
* `Session` (day session VWAP, perfect for intraday)
* `Week`, `Month`, `Quarter`, `Year`, `Decade`, `Century`
* Corporate events: `Earnings`, `Dividends`, `Splits`
This lets you build VWAP logic around:
* **Intraday mean reversion** (Session VWAP + bands)
* **Swing anchor VWAPs** (Weekly/Monthly)
* **Event-based anchors** (earnings/dividend/split reaction)
* **Hide on DWM:**
`Hide VWAP on 1D or Above` lets you keep intraday VWAP from cluttering higher-TF charts.
* **Angle/Trend Detection:**
The VWAP engine computes a **regression slope** over each anchor segment and converts it to an **angle %**:
* `Angle Lookback (bars)` controls how many bars are used
* `Angle Trend Threshold (%)` sets the threshold where a slope is considered “trending”
With `Color VWAP by Trend` enabled:
* Uptrend > threshold → VWAP turns **trend up color** (e.g., lime)
* Downtrend < −threshold → VWAP turns **trend down color** (e.g., red)
* Inside threshold → VWAP uses a neutral color
You can also set separate **line widths** for neutral vs trend state and transparency to give a “Hull-style” visual feel.
* **VWAP Labels:**
You get a single, de-duplicated VWAP label on the last bar with:
* Optional **name** (`VWAP`)
* Optional **price** (`$xxx.xx`)
* Optional **angle %** and optional `"slope"` word
* Global **label size** for VWAP + bands
### VWAP Bands
* **Calc modes:**
`Bands Calculation Mode`:
* `Standard Deviation` – classic VWAP ± n * σ
* `Percentage` – bands as a fixed % of VWAP
* **Bands 1-3:**
Each band has:
* Visibility toggle, independent multiplier (`×`)
* Separate **upper/lower colors** per band
* Optional **fill** between upper/lower for each band
* Label toggles:
* `Show All Labels`
* `Show Band #X Label`
* `Band Labels: Show Names` (VWAP+1, VWAP-1, etc.)
* `Band Labels: Show Prices`
This lets you configure anything from a minimalist “just VWAP + 1 band” view to a full 3-band ladder.
### VWAP Highlight Fill
* **Premium/discount shading**:
Optional fill that shades:
* Region **above VWAP** when price is above (e.g., greenish)
* Region **below VWAP** when price is below (e.g., reddish)
This makes it extremely easy to see when price is trading at **premium vs discount** relative to the current anchor VWAP.
### Typical use
* Intraday scalpers: Session VWAP + 1–2 bands + highlight fill
* Swing traders: Weekly/Monthly VWAP + only the main line and label
* Event traders: Earnings-anchored VWAP, tracking post-earnings drift
---
## 3. Bollinger Bands — Volatility-Aware BB with Gradient Fill
**Group:** `Enable Bollinger Bands` + `------ Bollinger Band settings ------`
### What it adds
A clean Bollinger Band overlay designed to play nicely with the VWAP/MA stack:
* `Bollinger Bands Length` (default 20)
* `Bollinger Bands Multiplier` (default 2.0)
* `BB Basis Color` & **line width**
* Upper/lower bands colored based on **width change**:
* Expanding volatility → `BB Expanding Color`
* Contracting volatility → `BB Contracting Color`
You can also toggle:
* `Show Center Line MA Label` – prints something like `20ma` on the last bar.
* `Enable Gradient Background Fill` – draws a gradient between price and the bands:
* `Gradient Fill Up Color` for below-price fill
* `Gradient Fill Down Color` for above-price fill
### Why it’s unique here
Instead of just static bands, this implementation **flags volatility regimes** (expansion vs contraction) via color and optional gradient. That pairs nicely with ATR Fibs and VWAP:
* Use **BB contraction (squeeze)** + flat VWAP angle to anticipate breakouts.
* Use BB + VWAP bands to filter which “touches” are genuinely overextended.
---
## 4. Dixson Adaptive Trend Channel (ATC) — Short-Term & Long-Term Log Channels
**Master toggle:** `Enable Adaptive Trend Channel`
**Groups:** `------ Dixson ATC Settings ------`, `Short-Term Channel Settings`, `Long-Term Channel Settings`, `Short-Term Midline Settings`, `Long-Term Midline Settings`, `Channel Trend Background Fill Settings`, `Short-Term Table Settings`, `Long-Term Table Settings`
### Under the hood
ATC is a **log-scale regression channel engine** that automatically:
1. Scans a set of candidate periods.
* **Short-term:** 20 → 200 bars
* **Long-term:** 300 → 1200 bars
2. For each period, it computes:
* Log-price regression slope & intercept
* Standard deviation of residuals
* A Pearson-style R value (trend “strength”)
3. Picks the period with the **highest correlation (|R|)** and uses that as the **detected trend length**.
This yields a **data-driven channel** that adapts to whatever trend the market is actually respecting.
> For long-term stats, annualized return only makes sense on **daily/weekly** charts. On intraday charts, treat the “Annual Return” purely as informational.
### Short-Term Channel
Controls in `Short-Term Channel Settings` + `Short-Term Midline Settings`:
* `Show Short-Term Channel` – on/off
* `Deviation Multiplier (Short-Term)` – how wide the channel is (in standard deviations)
* **Upper/Lower colors**, line width, style (Solid/Dotted/Dashed), transparency
* `Line Extension Style` – Extend Right / Extend Both / Extend None / Extend Left
Optional **Short-Term Midline**:
* Toggle + color, style, width, transparency
* Tracks the regression line itself (center of the channel)
Background fill:
* `Enable ST Background Fill` with separate **ST Uptrend** / **ST Downtrend** colors
* Trend direction is inferred from regression slope sign
### Long-Term Channel
Mirrors the ST controls with its own group:
* `Show Long-Term Channel`
* `Deviation Multiplier (Long-Term)`
* Upper/Lower channel colors, thickness, style, transparency
* `Line Extension Style`
* Optional Long-Term midline + colors/styles
* Optional **background fill** with separate colors for up vs down
You can run **both channels at once**, giving a panel of:
* **Macro trend structure** (Long-Term ATC)
* **Current swing trend** (Short-Term ATC)
* MAs, VWAP, and Auto Fibs on top for entries/exits
### Trend Info Tables
Each channel has its own table options:
* `Show Detected Period` (bars used)
* `Show Trend Strength` – either:
* Descriptive text: “Extremely Weak” → “Ultra Strong”, or
* Raw Pearson R value if `Show Pearson R` is enabled
* `Show Annualized Return` (when timeframe is daily/weekly)
* Table position (`Top Left`, `Bottom Right`, etc.)
* Text size (`Small`, `Normal`, `Large`)
These tables quantify:
* Over what lookback the trend is being measured
* How “clean” that trend is
* What the approximate annualized performance of that trend has been
---
## 5. Dixson Auto Fibonacci Suite — ATR Fibs + Lookback Fibs + Shared Fib Bank
**Master toggle:** `Enable Auto Fibonacci`
**Groups:** `Dixson Auto Fibonacci`, `ATR Auto Fib`, `Previous ATR Fib`, `Lookback Auto Fib`, `Lookback Anchor Overrides`, `Fibonacci Levels`
You get **two separate engines** (ATR-based and Lookback-based) that both draw from the **same customizable Fib bank**, with optional log scaling.
---
### 5.1 Global Auto Fib Settings
* `Logarithmic Scale`
* When ON, Fib levels are interpolated in log-space (better for assets that move in percentages).
* When OFF, interpolation is linear in price.
This applies to **both** the ATR and Lookback engines.
---
### 5.2 ATR Auto Fib (Rail-Based, Supertrend-Driven)
**Groups:** `ATR Auto Fib`, `Previous ATR Fib`
The ATR engine builds **“rails”** that hug price without letting candles touch them, then projects Fib levels between these anchors.
#### How it works
1. Uses built-in `ta.supertrend` with:
* `ATR Period`
* `ATR Multiplier`
2. Builds dynamic **upper and lower rails** around price:
* Uses ATR to define a **proximity gap** (`Proximity (×ATR)`) so rails stay **just outside the wicks** (no-touch behavior).
* Smooths raw highs/lows slightly (RMA) to avoid spiky rails.
* Ensures the upper rail is always ≥ high+gap and lower rail ≤ low−gap.
3. The **direction** (uptrend/downtrend) is inferred from the Supertrend direction:
* On trend flips, the script:
* Captures the prior rail pair as a **“previous segment”**
* Starts a new rail segment in the new direction
4. From these rails, the script draws **directional Fib “ladders”**:
* For the **current ATR Fib**:
* The Fib is drawn from one anchor to the other depending on the trend sign.
* Rays are projected `Ray Length` bars to the right of `Current Offset`.
* For the **previous ATR Fib**:
* The last completed segment’s start/end rails are used as anchors
* Rays are projected using `Prev Fib Offset` and `Prev Fib Length`
#### Current ATR Fib controls
* `Enable ATR Fib` – toggles current ATR Fib bank
* `ATR Period`, `ATR Multiplier` – control the “engine” behind the rails and ST logic
* `Current Offset`, `Ray Length` – where and how far rays are drawn
* `Show Level Text`, `Show Price`, `Display % not ratio` – label style
* `Label Size (Current ATR Fib)` – for all current ATR Fib labels
Visual extras:
* `Plot Hi/Low Anchor Lines` – shows upper/lower rails
* `Plot ATR Trailing Stop` – shows clamped Supertrend as a continuous line
#### Previous ATR Fib controls
* `Enable Prev ATR Fib` – toggles previous segment ladders
* Independent `Prev Fib Offset`, `Prev Fib Length`
* Separate label controls:
* `Show Level Text (Prev)`
* `Show Price (Prev)`
* `Display % not ratio (Prev)`
* `Label Size (Previous ATR Fib)`
Use the **current ATR Fib** as your active trading “ladder” and the **previous ATR Fib** to track recently broken structure and potential retest zones.
---
### 5.3 Lookback Auto Fib — HH/LL-Driven Fib Bank, MTF + Manual Overrides
**Group:** `Lookback Auto Fib` + `Lookback Anchor Overrides`
This engine draws Fibs between **highest high** and **lowest low** within a given lookback window on a chosen timeframe.
#### How it works
1. Select higher timeframe:
* `Lookback Timeframe` (empty = chart timeframe)
2. Choose your range:
* `Lookback Bars` – number of bars on the selected TF to scan for extremes
3. Optionally allow look-ahead:
* `Look-ahead Bars (repainting)`
* `0` = no look-ahead (no forward info, no repainting)
* `>0` = uses `barmerge.lookahead_on` for forward-looking extremes (can repaint)
4. For that range, the script finds:
* Highest high + its bar offset
* Lowest low + its bar offset
5. Trend direction is determined by **which extreme is more recent**:
* Recent high → **down** direction (high → low)
* Recent low → **up** direction (low → high)
6. Manual direction overrides:
* `Force Uptrend` / `Force Downtrend` – override the auto decision
7. Manual anchor overrides:
* `Manual Anchor High (LB)`
* `Manual Anchor Low (LB)`
If both are set, those become the anchors and direction is deduced from which is higher.
8. The engine then draws a **directional Fib ladder**:
* Anchors between high/low based on direction
* Rays extend `Lookback Fib Length` bars from `Lookback Fib Offset`
#### Label controls
* `Show Level Text`, `Show Price`, `Display % not ratio`
* `Label Size (Lookback Fib)`
* Labels are prefixed with `LB` to distinguish them from ATR Fibs.
This engine is ideal for:
* **Swing structure mapping:** Drawing Fibs across the last major swing on the HTF.
* **Confluence:** Aligning Lookback Fibs with ATR Fibs, ATC channel boundaries, and VWAP bands.
---
### 5.4 Shared Fibonacci Levels — Fully Custom Fib Bank for Both Engines
**Group:** `Fibonacci Levels`
The ATR and Lookback engines **both** use the same Fib bank:
* **Ratios provided by default:**
* 0.000
* 0.146
* 0.236
* 0.382
* 0.500
* 0.618
* 0.650
* 0.707
* 0.786
* 0.886
* 1.000
* 1.130
* 1.272
* 1.618
* 2.000
Each ratio has its own:
* `Enable Level X.XXX`
* `Level X.XXX` (the actual ratio – fully editable)
* `Thickness X.XXX` (line width)
* `Style X.XXX` (Solid / Dashed / Dotted)
* `Color X.XXX` (line + label color)
Adjusting a level here **instantly updates both** ATR and Lookback ladders. This makes it very easy to:
* Run “standard” Fib sets for classic retracements
* Or define your **own Fib presets** (e.g., 0.25 / 0.5 / 0.75, or custom extension clusters)
---
## How to Use & Suggested Workflows
**Scalpers / 0DTE / Intraday:**
* Enable:
* MA/EMA pack (fast EMAs + one MTF slot)
* VWAP (Session anchor) + 1–2 VWAP bands + highlight fill
* ATR Auto Fib (current + previous)
* Optionally hide:
* Lookback Fibs
* Long-Term ATC (unless you want HTF bias on your intraday chart)
Use slope labels, VWAP angle %, and ATR Fib ladders to structure trades around pullbacks, mean reversion, and breakouts.
**Swing / Position traders:**
* Turn on:
* Long-Term ATC (with table)
* Short-Term ATC for swing structure
* Lookback Auto Fib on a higher timeframe (e.g., D on 4H chart)
* Keep VWAP anchored to Week or Month, and MA slots for key reference MAs.
Use ATC channels for **trend structure**, Lookback Fibs for **swing levels**, and long VWAPs for **value zones**.
---
## Final Notes & Disclaimer
* Works on **all symbols** and **all timeframes**, but some stats (like “Annualized Return”) are only meaningful on **daily/weekly** data.
* Some options (like Look-ahead mode for Lookback Fibs) can **repaint** on purpose. These are clearly labeled — use them only if you understand and want forward-looking behavior.
* This script does **not** place trades. It is a visual / analytical tool only.
* Nothing in this indicator or description is financial advice. Always do your own research, forward-test, and manage risk appropriately.
If you have **invite-only access** to **Dixsons Tackle Box**, you’re getting the full Dixson overlay stack in one place — designed to be the central “hub” for your chart, not just another line on it.
RT-Machine Learning Reversion BandsMachine Learning Reversion Bands is a support and resistance tool designed to highlight where trends have historically reverted and where price is pushing into unusually extreme territory. It plots two sets of bands around price so traders can see both standard reversion zones and more extreme, machine learning levels that adapt and learn from the chart over time.
Introduction
The Machine Learning Reversion Bands tool utilizes an algorithm that learns from the chart’s full visible history. Instead of manually scanning through years of candles, the script studies the data and builds machine learning bands that respond to how the asset has actually behaved over time.
This version retains the original red and green Reversion Bands and adds a second set of dynamic Machine Learning Bands that adapt to volatility. This gives the trader four levels to reference: Red and Green Reversion Bands for more traditional support and resistance reversion zones.
Cyan and Orange Machine Learning Bands that adapt as new extremes form on the chart. The red and green bands are tuned for more typical reversion behavior, while the cyan and orange bands are focused on those moves where price stretches beyond its usual range. This can help frame potential entries, exits, and risk around both normal and more extreme conditions.
Support Versus Resistance
Machine Learning Reversion Bands tracks four main levels of support and resistance:
Green and Red Bands - Standard Reversion Bands
These bands mark more common reversion points for many assets. They highlight areas where trends have historically run into exhaustion and reverted back toward the mean. When price approaches these zones, it is often interacting with regions where prior swings have slowed, paused, or reversed.
Cyan and Orange Bands - Machine Learning Reversion Bands
The cyan and orange band algorithm studies the asset by looking back at every candle that is available on the chart (as far as the user can scroll left). If there is a decade of data, the algorithm will use that full decade to learn how the asset has behaved in the past and then project where these cyan and orange bands should be overlaid.
In short, these ML bands give traders a view of where the tool estimates the more extreme extensions of a trend may be, based on historical behavior. In many cases, price will only touch the cyan and orange bands when it is moving into unusually strong or weak levels relative to its own past. Each time trends reach these orange or cyan levels, the tool updates from that price action so that its future projections continue to reflect what has already been seen.
A historical example of the cyan bands adapting to extreme bullish behavior on a DOGE chart.
A historical example of the cyan bands projecting resistance levels in an extremely bullish trend.
A historical example of the orange bands adapting to an EOS chart.
A second historical example of the orange bands adapting to a Ford chart.
Example Charts
The following examples show how price has interacted with the bands in specific historical periods. They are intended as illustrations of behavior, not as performance guarantees:
Tron - H4 - TRXUSDT - December 2024
Nvidia - H4 - NVDA - March 2020 Tesla - H4 - TSLA - April 2022 These historical example charts can be used to visually review how price has interacted with the bands in the past. They are illustrations of behavior, not performance statistics.
Settings and Tuning
Reversion Alert Markers are used to visualize when price is interacting with the bands and to help traders monitor potential reversion events. When enabled, these markers plot whenever price meets the internal conditions for a reversion touch inside one of the bands.
These markers can be toggled on and off in the settings of the tool. The markers can also be set to custom text/emojis per the trader's preferences:
The Bands can also be adjusted manually to fine tune the chart specifically to the asset that the trader is buying/selling: Smoothness Adjuster - Adjusts how sensitive the Bands are to price action.
Top Bands Height Adjuster - Adjusts the vertical height of the Upper Bands.
Bottom Bands Height Adjuster - Adjusts the vertical height of the Lower Bands. The Bands themselves can also be adjusted visually to suit each trader's preference. The borders of the Reversion Bands as well as the shading of the Reversion Bands themselves can be adjusted to be brighter or darker by adjusting these two settings:
Band Transparency Adjuster - Adjusts the opacity of the Reversion Bands.
Border Transparency Adjuster - Adjusts the opacity/brightness of the Borders that are drawn around the Bands. Example of the Reversion Bands and the Borders being set to be extremely bright: Example of the Reversion Bands and Borders set to be more transparent: The colors of the Bands and Borders can also be adjusted to meet the preferences of the trader. Below you can see each Band color being adjusted: Candle Filtering is an advanced tuning option that traders can use to enable the Reversion Alert Markers to only trigger during extreme price action movements that are tracked using the RT-Main Indicator.
Below is an example of Reversion Alert Markers operating in conjunction with the Colored Candles of the RT-Main Indicator running the default settings. By default, every candle color will trigger an Alert Marker when inside the Reversion Bands:
With Candle Filtering options enabled, the trader can set their chart to only display Alert Markers for White and Pink Candles that print from the RT-Main Indicator inside the Reversion Bands: For traders that utilize custom tunes on the RT-Main Indicator, the Reversion Bands Tool also has settings that can be used to bring the Pink/White Candle Filtering in synch with custom Candle Settings of the RT-Main Indicator:
Alert Automation
When setting up alerts for this tool, traders generally follow these parameters: 1st Condition - Select the RT-Machine Learning Reversion Bands Indicator.
2nd Condition - Select the desired alert condition that you want to monitor:
Entering Green Band | Cyan Band | Red Band | Orange Band.
Interval - Select Same as Chart.
Trigger - Select Once Per Bar Close.
This approach allows the tool to serve as a visual and alert-based context layer for potential reversion areas, while entries, exits, and order execution remain under the trader's control.
How Traders Commonly Use The Bands
Some common ways traders incorporate Machine Learning Reversion Bands into their workflow include:
Using the Green and Red Bands as reference points for more "typical" mean reversion areas within an ongoing trend.
Watching the Cyan and Orange Bands for rare extensions that may mark areas of extreme strength or weakness relative to the asset's historical behavior.
Combining Band touches with other tools such as RT-Main Indicator, pivots, or volume context to build confluence around potential trade locations.
Reviewing past behavior in Replay mode to see how different assets have reacted to Band touches during various market regimes.
The tool is designed to act as a support and resistance map that adapts to each asset's history, rather than a rigid rule set.
What Makes This Tool Different
While many indicators draw static channels or volatility bands, Machine Learning Reversion Bands are designed to:
Retain the familiar behavior of the classic Red and Green Reversion Bands while adding a second Machine Learning layer.
Learn from all available chart history to estimate where more extreme extensions have historically occurred in the past.
Provide four distinct Band levels so traders can distinguish between normal reversion zones and more unusual extremes.
Offer optional markers and alert integration so reversion interactions can be tracked without watching every candle.
Important Note
Machine Learning Reversion Bands are intended to provide additional context around support, resistance, and potential mean reversion zones. They are not a standalone signal generator and should always be used together with your own analysis, testing, and risk management. Historical interactions with the Bands, including any back-test style examples, do not guarantee future results.
🐋 Tight lines and happy trading!
Smart Range Breakout System (Zeiierman)█ Overview
Smart Range Breakout System (Zeiierman) is a full breakout–trend–risk framework engineered around volatility compression, adaptive range detection, and a volatility-adaptive structural mapping layer that continuously reshapes itself as price migrates away from compression zones. Rather than reacting to simple line breaks, the system identifies statistically quiet regimes, models the expansion phase as momentum re-enters the market, and then deploys a unified architecture of trend projection, dynamic trailing stops, and risk–reward structuring that evolves in real time with the unfolding move.
This tool is designed for traders who want a self-contained breakout workflow: first detect valid ranges, then trade the expansion, then manage the trend and exits via automatically generated levels and alerts.
⚪ Why This One Is Unique
The core engine combines a custom price-contraction model with volatility-responsive boundary levels to detect when the market is transitioning between quiet and active phases. From this model, the script generates a smoothed synthetic average that acts as the reference point for identifying compression zones and validating breakout conditions. Using this foundation, the system builds a complete visual trade map: breakout boxes that mark consolidation, breakout markers that signal expansion, a trend cloud that tracks directional bias, adaptive trailing stops that follow price movement, and optional risk-reward levels that automatically adjust to each new breakout.
Unlike conventional breakout indicators that rely on a single high/low lookback, this system uses:
A price contraction engine that re-weights candle structure through a momentum-like transform, generating a stabilized price that better captures compression and release.
An adaptive low-volatility counter that waits for statistically quiet behavior before declaring a range.
█ Main Features
⚪ Breakout Signals With Dynamic Risk-Reward Levels
The system identifies meaningful breakouts emerging from compressed price zones and immediately maps a complete trade structure around each signal.
Each breakout generates:
Directional breakout markers to confirm expansion
Entry, Stop, TP1, and TP2 levels that are automatically projected
A dynamic trailing stop is added to lock in profits as the price moves
Risk and reward zones visualized through adaptive fills
Labels that update in real time as targets are reached or invalidated
This creates a clear, self-contained decision map that helps traders evaluate opportunities, manage risk, and track the progression of each breakout without manual calculations.
⚪ Trend Cloud
A continuously updating Trend Cloud highlights the active directional regime and offers immediate visual trend identification through its color-coded bias. It shows whether a breakout aligns with the prevailing direction, provides a smoother and more stable representation of the trend than raw price alone, and creates an intuitive backdrop for distinguishing trend-following opportunities from countertrend setups. By filtering out noise and emphasizing directional stability, the cloud helps improve timing, signal quality, and overall alignment with the dominant market structure.
█ How to Use
⚪ Breakout Trading from Range Boxes
1. Identify Compression Zones
Look for periods where the Range Breakout Box appears: this signals a statistically quiet regime where price has compressed around a bounded range.
The box top and bottom approximate the upper and lower bounds of the market’s recent equilibrium.
2. Trade the Expansion
Bullish Breakout:
Triggered when the synthetic price crosses above the box top.
A green breakout marker appears below the price (triangle up).
This signals that price is breaking out of the compression zone with enough momentum to establish a meaningful structural move to the upside.
Bearish Breakout:
Triggered when the price crosses below the box bottom.
A red breakout marker appears above the price (triangle down).
Signals a breakdown out of the range to the downside.
⚪ Trend Following with the Trend Cloud
The Trend Cloud is a volatility-responsive band that adjusts to the system’s internal trend. In bullish conditions, it shifts to the up-color beneath price, and in bearish conditions, it flips to the down-color above price, giving a clear visual read of market direction.
The cloud effectively separates impulsive trend legs from noise, so you can align breakout trades only with the dominant directional regime.
Long Setups
Favor long setups (Break Up) when the price is traveling above or inside a bullish cloud.
Short Steups
Favor short setups (Break Down) when the price is below or inside a bearish cloud.
Ignore counter-trend breakouts that form directly against a strong, stable cloud unless you are intentionally trading mean reversion.
⚪ Breakout Management and Risk-Reward
Once a breakout occurs, the system instantly activates a directional trailing stop that follows the trend. For long setups, the stop stays below the price and moves upward as momentum builds. For short setups, it stays above the price and moves downward as the trend strengthens. If price hits the trailing stop, an X-cross appears on the chart to mark the exit, and the stop is reset for the next signal. You can adjust the sensitivity to make the stop tighter or more relaxed, depending on your preference.
When Risk-Reward Levels are enabled, the script also builds a complete trade structure around the breakout. It places an entry line at the breakout close, and projects two target levels forward. The area between entry and stop is shaded as risk, while the area toward the targets is shaded as reward. Labels update automatically as targets are reached, turning into a clear confirmation mark when a level is hit and signaling with an icon if the stop is touched.
Together, the trailing stop and risk-reward ladder create a clear, real-time map of each breakout’s progression, helping you manage risk, monitor targets, and follow the move with structure and confidence.
█ How It Works
⚪ Compression Detection & Range Formation
The system identifies quiet market phases where price contracts into narrow zones and stabilizes around a synthetic equilibrium level. These zones form the foundation for valid breakout opportunities.
Calculation: Persistence-based boundary tracking with volatility-normalized change detection and equilibrium anchoring to identify statistically constrained price regimes.
⚪ Breakout Engine
Breakouts occur only when the internal average breaks out of a validated compression zone, confirming that the market is transitioning from containment to expansion.
Calculation: Boundary-crossing logic on dispersion-expanded structures with directional state shifts encoded through threshold-gated transitions.
⚪ Trend State
A dynamic trend state guides directional bias, while the Trend Cloud visually expresses this bias directly on the chart, shifting beneath or above the price depending on the active regime.
Calculation: Dual-regime state modeling using filtered directional vectors, volatility-responsive offsets, and continuity enforcement to avoid noise-driven flips.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Prob Stats PPIBW Prob Stats PPIBW - Data-Driven Trading Decisions
Transform historical price patterns into actionable probabilities. This indicator analyzes thousands of periods to show you the real odds behind pivot hits, range
expansions, inside bars, and weekend breakouts.
What It Tracks
Pivot Hit Rates (D/W/M/Q/6M/Y)
What percentage of pivot points get touched during their period? Includes recent period comparison to spot regime changes.
Example: "Daily: 82.3% (450/547) | L30: 76.7% (23/30)"
Previous Period Levels (D/W/M)
How often does current period break previous period's high or low? Only counts actual range expansion, not equilibrium crossings. Helps gauge breakout probability.
Inside Bar Analysis (D/W/M)
When price consolidates inside previous period's range, what are the odds of a breakout? Only appears when currently in an inside bar.
Weekend Breakdown
When Sat/Sun breaks Mon-Fri range, does the following week continue? Critical for crypto traders and weekend gap analysis.
Key Features
- Recent Period Comparison: See if recent behavior differs from historical averages
- Self-Documenting: Hover over any header for instant explanations
- Color-Coded Sections: Yellow (Pivots), Orange (Prev Period), Pink (Inside Bar), Green (Weekend)
- Blue Background: Recent stats highlighted for easy identification
- Dynamic Layout: Adapts based on market conditions
- Real-Time Updates: Includes current period for live probability tracking
How To Use
1. Add to any chart (best on Daily+ for maximum historical data)
2. Hover over column headers to understand each statistic
3. Compare historical vs recent probabilities
4. Use probabilities to inform position sizing and expectations
Example: Weekly pivot shows 78% historical hit rate but only 60% in last 30 weeks. Recent regime change suggests lower probability of test.
Technical Details
- Pine Script v6
- Rolling window arrays track last 30/30/12 periods for D/W/M
- Previous Period excludes EQ crossings for accurate stats
- Works on all timeframes, optimized for Daily+
- Configurable table position
Perfect For
Traders seeking data-driven confirmation, those wanting to quantify probability vs guessing, regime change detection, and crypto traders analyzing weekend patterns.
Note: Past performance doesn't guarantee future results. Use these statistics as one input in your overall trading strategy.
