Support and Resistance Levels with BreaksThis indicator identifies dynamic support and resistance levels using pivot point analysis and provides clear trading signals when these levels are broken with volume confirmation. Enhanced version with improved signal clarity for better trading decisions.
## 🔧 Key Features
### Support & Resistance Detection
- Automatically identifies key pivot high and low levels
- Draws clear visual lines (red for resistance, blue for support)
- Configurable sensitivity with left/right bar settings
### Enhanced Trading Signals
- **BUY** signals when resistance is broken with volume confirmation
- **SELL** signals when support is broken with volume confirmation
- **Bull Wick** alerts for potential reversals at resistance
- **Bear Wick** alerts for potential reversals at support
### Volume Confirmation
- Built-in volume oscillator using 5 and 10-period EMAs
- Filters out low-volume false breakouts
- Adjustable volume threshold (default: 20%)
### Complete Alert System
- Support Broken alerts
- Resistance Broken alerts
- Bull Wick reversal alerts
- Bear Wick reversal alerts
## ⚙️ Settings
- **Show Breaks**: Toggle signal display
- **Left Bars**: Pivot detection lookback (default: 15)
- **Right Bars**: Pivot detection lookforward (default: 15)
- **Volume Threshold**: Minimum volume increase for valid signals (default: 20%)
## 📈 Best For
- Swing trading strategies
- Breakout confirmation
- Support/resistance trading
- Volume-based entry signals
## 🔍 How It Works
1. Identifies pivot highs/lows using configurable periods
2. Calculates volume oscillator for confirmation
3. Generates BUY signals on resistance breaks with volume
4. Generates SELL signals on support breaks with volume
5. Detects wick patterns for potential reversals
## 📋 Updates in This Version
- Enhanced BUY/SELL signal clarity (replaced generic "B" labels)
- Added Bull Wick and Bear Wick alert conditions
- Updated to Pine Script v6 compatibility
- Improved signal filtering and accuracy
## ⚠️ Disclaimer
This indicator is for educational and informational purposes only. Always conduct your own analysis and risk management before making trading decisions. Past performance does not guarantee future results.
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**Original Script**: "Support and Resistance Levels with Breaks" by LuxAlgo
**License**: CC BY-NC-SA 4.0
**Enhanced by**: profitgang
**Version**: Pine Script v6
Cerca negli script per "support resistance"
Range Breakout [sgbpulse]Range Breakout
1. Overview
The "Range Breakout " indicator is a powerful tool designed to identify and visually display price ranges on your chart using pivot points. It dynamically draws two distinct boxes – an External Range and an Internal Range – helping traders pinpoint potential support and resistance zones. Beyond its visual representation, the indicator offers a comprehensive set of 12 unique breakout alerts, providing real-time notifications for significant price movements outside these defined ranges. Additionally, it integrates RSI and MFI metrics for momentum confirmation.
2. How It Works
The indicator operates by identifying pivot points based on user-defined "left" and "right" bar lengths. A high pivot is a bar with a specified number of lower highs both to its left and right, and similarly for a low pivot.
External Range: Calculated using longer pivot lengths (default: 15 bars left, 6 bars right). This range represents broader, more significant price consolidation areas.
Internal Range: Calculated using shorter pivot lengths (default: 4 bars left, 3 bars right). This range captures tighter, more immediate price consolidations within the broader trend.
The External Range will always be greater than or equal to the Internal Range, as it's based on a wider historical context. Both ranges are displayed as transparent boxes on your chart, dynamically adjusting as new pivots are formed.
3. Key Features and Settings
Customizable Pivot Lengths:
External Range (Left/Right Bars): Adjust sensitivity for identifying the broader price range. Longer lengths lead to more stable, but less frequent, range updates.
Internal Range (Left/Right Bars): Adjust sensitivity for the tighter, more immediate price range.
Tool Tips: Minimum 6 bars for the External Range, and minimum 2 bars for the Internal Range.
Customizable Range Colors: Easily change the background colors of the External and Internal Range boxes to match your chart's aesthetic.
Dynamic Range Display: The indicator automatically updates the range boxes as new pivot highs and lows are formed, always presenting the most current valid ranges.
RSI / MFI Settings:
Timeframe Source: Select the timeframe for RSI and MFI calculation.
- Chart: Calculation based on the current chart timeframe.
- Daily: Always calculated based on the daily ("D") timeframe, even if the chart is on a lower timeframe.
RSI Length: Period length for RSI calculation (default: 14).
RSI Overbought Level: Overbought level for RSI (default: 70.0).
RSI Oversold Level: Oversold level for RSI (default: 30.0).
MFI Length: Period length for MFI calculation (default: 14).
MFI Overbought Level: Overbought level for MFI (default: 80.0).
MFI Oversold Level: Oversold level for MFI (default: 20.0).
4. Synergy of Ranges & Breakout Strength
The interaction between the External and Internal Ranges provides deep insights into price movement and breakout strength:
Immediate Direction: The movement of the Internal Range (up or down) indicates the short-term directional bias within the broader framework of the External Range.
Strength Confirmation: A breakout of the External Range, followed by a breakout of the Internal Range, confirms the strength of the move and increases confidence in the breakout.
Strong Momentum ("Leaving" Ranges Behind): When price breaks out with exceptionally strong momentum, it continues to move aggressively and does not immediately form new pivots. In such situations, the existing ranges (External and Internal) remain in place while the candles "leave them behind." A "Full Candle" breakout, where the entire candle moves past both ranges, indicates a particularly powerful and decisive move.
Momentum (RSI / MFI) as Confirmation:
- RSI (Relative Strength Index): Measures the speed and change of price movements. Extreme values (above 70 or below 30) indicate overbought/oversold conditions respectively, confirming strong momentum in a breakout.
- MFI (Money Flow Index): Similar to RSI but incorporates volume. Extreme values (above 80 or below 20) indicate strong money flow in/out, reinforcing breakout confirmation.
- Importance of Confirmation: If a breakout occurs but momentum indicators do not confirm it (for example, an upside breakout while RSI is declining), this could signal weakness in the move and the risk of a false breakout (Fakeout).
5. Visuals
The indicator provides clear visual representations on the chart:
Range Boxes:
Two dynamic boxes are drawn on the chart: one for the External Range and one for the Internal Range.
These boxes update continuously, displaying the current range boundaries based on the latest pivots. They provide an immediate visual indication of support and resistance levels.
RSI/MFI Status Labels:
Small text labels appear to the right of the current bar, vertically centered.
They display the status of RSI and MFI: RSI OB (Overbought), RSI OS (Oversold), MFI OB, MFI OS, along with the exact value.
Important: The labels remain on the chart as long as the condition holds (indicator is above/below the level), unlike alerts which mark a singular crossover event.
Plotting of Key Values:
The indicator plots six invisible series on the chart, primarily to allow the user to view the exact numerical values of:
- The upper and lower bounds of the External Range (External High, External Low).
- The upper and lower bounds of the Internal Range (Internal High, Internal Low).
- The calculated RSI and MFI values (RSI, MFI).
These values are accessible for viewing through TradingView's Data Window and also via the Status Line when hovering over the relevant candle. This enables more precise quantitative analysis of range levels and momentum.
6. Comprehensive Breakout Alerts
The "Range Breakout " indicator provides 12 distinct alert conditions for breakouts, allowing you to select the required level of confirmation for each alert. All alerts are triggered only upon a fully confirmed bar close (barstate.isconfirmed) to minimize false signals and ensure reliability.
All breakout alerts are configured to detect a Crossover/Crossunder of the levels, meaning a specific event where the price moves from one side of the range to the other.
External Range Breakout UP
- Close: Price closes above the External Range.
- Real Body: The entire "real body" of the candle (min of open/close prices) closes above the External Range.
- Full Candle: The entire candle (the lowest point of the candle) closes above the External Range.
External Range Breakout DOWN
- Close: Price closes below the External Range.
- Real Body: The entire "real body" of the candle (max of open/close prices) closes below the External Range.
- Full Candle: The entire candle (the highest point of the candle) closes below the External Range.
Internal Range Breakout UP
- Close: Price closes above the Internal Range.
- Real Body: The "real body" of the candle closes above the Internal Range.
- Full Candle: The entire candle closes above the Internal Range.
Internal Range Breakout DOWN
- Close: Price closes below the Internal Range.
- Real Body: The "real body" of the candle closes below the Internal Range.
- Full Candle: The entire candle closes below the Internal Range.
7. Ideal Use Cases
This indicator is ideal for traders who:
Want to clearly identify and monitor price consolidation zones.
Seek confirmation for breakout strategies across various timeframes.
Require reliable and automated alerts for potential entry or exit points based on range expansion.
8. Complementary Indicator
For even more comprehensive market analysis, we highly recommend using this indicator in conjunction with Market Structure Support & Resistance External/Internal & BoS .
This powerful complementary indicator automatically and accurately identifies significant support and resistance levels by locating high and low pivot points, as well as key Pre-Market High/Low levels. Its strength lies in its dynamic adaptability to any timeframe and asset, providing precise and relevant real-time levels while maintaining a clean chart. It also identifies Break of Structure (BoS) to signal potential trend changes or continuations.
Using both indicators together provides a robust framework for identifying defined ranges and potential trend shifts, enabling more informed trading decisions.
View Market Structure Support & Resistance External/Internal & BoS Indicator
9. Important Note: Trading Risk
This indicator is intended for educational and informational purposes only and does not constitute investment advice or a recommendation for trading in any form whatsoever.
Trading in financial markets involves significant risk of capital loss. It is important to remember that past performance is not indicative of future results. All trading decisions are your sole responsibility. Never trade with money you cannot afford to lose.
Floor and Roof Indicator with SignalsFloor and Roof Indicator with Trading Signals
A comprehensive support and resistance indicator that identifies premium and discount zones with automated signal generation.
Key Features:
Dynamic Support/Resistance Zones: Calculates floor (support) and roof (resistance) levels using price action and volatility
Premium/Discount Zone Identification: Highlights areas where price may find resistance or support
Customizable Signal Frequency: Control how often signals are displayed (every Nth occurrence)
Visual Signal Table: Optional table showing the last 5 long and short signal prices
Multiple Timeframe Compatibility: Works across all timeframes
Technical Details:
Uses ATR-based calculations for dynamic zone width adjustment
Combines Bollinger Bands with highest/lowest price analysis
Smoothing options for cleaner signal generation
Fully customizable colors and display options
How to Use:
Floor Zones (Blue): Potential support areas where long positions may be considered
Roof Zones (Pink): Potential resistance areas where short positions may be considered
Signal Crosses: Visual markers when price interacts with key levels
Signal Table: Track recent signal prices for analysis
Settings:
Length: Period for calculations (default: 200)
Smooth: Smoothing factor for cleaner signals
Zone Width: Adjust the thickness of support/resistance zones
Signal Frequency: Control signal display frequency
Visual Options: Customize colors and table position
Alerts Available:
Long signal alerts when price touches discount zones
Short signal alerts when price reaches premium zones
Educational Purpose: This indicator is designed to help traders identify potential support and resistance areas. Always combine with proper risk management and additional analysis.
This description focuses on the technical aspects and educational value while avoiding any language that could be interpreted as financial advice or guaranteed profits.
Gann Octave 8 - Professional V 1.0Gann Octave 8 Indicator:
Core Concept: This indicator divides the price range between highest high and lowest low into 8 equal parts (octaves), creating support/resistance levels based on W.D. Gann's trading principles.
Key Components:
1. Price Range Calculation:
o Finds highest high and lowest low over a lookback period (default 50 bars)
o Divides this range into 8 equal segments (12.5% each)
2. 8 Octave Levels:
o 0% (Low Support) - Strongest support
o 12.5%, 25%, 37.5% - Minor levels
o 50% (CRITICAL) - Most important level
o 62.5%, 75%, 87.5% - Minor levels
o 100% (High Resistance) - Strongest resistance
3. Gann Angles: Projects trend lines from high/low points at various angles (1x1, 2x1, 1x2, etc.)
4. Visual Features:
o Color-coded levels
o Information table showing current position
o Background highlighting when near critical levels
o Trend analysis (bullish/bearish zones)
Trading Strategy
Entry Signals:
BULLISH TRADES:
• Price crosses above 50% level → Strong buy signal
• Price bounces from 25% or 37.5% levels → Support bounce
• Price in upper zone (above 50%) → Bullish bias
BEARISH TRADES:
• Price crosses below 50% level → Strong sell signal
• Price rejects at 75% or 87.5% levels → Resistance rejection
• Price in lower zone (below 50%) → Bearish bias
Key Trading Rules:
1. 50% Level is Critical: Most important for trend direction
2. Zone Trading:
o Above 50% = Bullish zone (look for longs)
o Below 50% = Bearish zone (look for shorts)
3. Strength Levels:
o Above 75% or below 25% = Strong moves
o Near 100% (high) or 0% (low) = Extreme levels
Risk Management:
• Stop Loss: Place below previous octave level
• Take Profit: Target next octave level
• Position Size: Reduce size near extreme levels (0%, 100%)
Example Trade:
If price breaks above 50% level:
• Entry: Long position
• Stop: Below 37.5% level
• Target: 75% level
• Risk: Monitor for rejection at resistance levels
The indicator works best in trending markets and helps identify high-probability reversal zones.
Works for both Stocks & Derivatives. Experiment with code and share your feedback in comments..
Volume bar range# Volume Bar Range (VBR) Indicator
## Overview
The Volume Bar Range indicator identifies key support and resistance levels based on high-volume price bars. It creates a visual range that represents significant price levels where the market has shown strong interest through volume confirmation.
## Features
### Visual Range Display
- **Blue/Aqua Area**: Shows the price range of the highest volume bar within the lookback period
- **Dynamic Color**: The fill color changes to indicate whether the range is stable (aqua) or newly updated (white)
- **Boundary Lines**: Invisible white lines mark the upper and lower boundaries of the range
### Trading Signals
- **BUY Signal**: Blue upward arrow appears when price breaks above the resistance level with volume confirmation
- **SELL Signal**: Black downward arrow appears when price breaks below the support level with volume confirmation
## How to Use
### Setup
1. Apply the indicator to any chart
2. The indicator automatically identifies the highest volume bar in the last 55 periods
3. The price range of this high-volume bar becomes your support/resistance zone
### Trading Strategy
- **Range Trading**: Trade within the identified support/resistance range
- **Breakout Trading**: Enter positions when price breaks above resistance (BUY) or below support (SELL)
- **Volume Confirmation**: Only take signals when current volume exceeds the 21-period average
### Signal Interpretation
- **BUY Signal**: Price closes above the resistance level with above-average volume
- **SELL Signal**: Price closes below the support level with above-average volume
- **No Signal**: Price remains within the range or volume is insufficient
## Key Parameters
- **Lookback Period**: 55 bars (automatically identifies the highest volume bar)
- **Volume MA**: 21-period simple moving average for volume confirmation
- **Signal Size**: Tiny markers to avoid chart clutter
## Best Practices
- Use on multiple timeframes for confirmation
- Combine with other technical indicators for stronger signals
- Pay attention to the color changes in the range area
- Consider market context and overall trend direction
## Ideal Markets
- Works well on liquid markets with consistent volume patterns
- Effective on stocks, forex, and crypto markets
- Best suited for swing trading and medium-term analysis
This indicator is particularly useful for traders who rely on volume analysis and want to identify key price levels where the market has shown significant interest.
Future is hereOverview
"Future is Here" is an original, multi-faceted Pine Script indicator designed to provide traders with a comprehensive toolset for identifying high-probability trading opportunities. By integrating volatility-based entry zones, trend-based price targets, momentum confirmation, dynamic support/resistance levels, and risk-reward ratio (RRR) calculations, this indicator offers a cohesive and actionable trading framework. Each feature is carefully designed to complement the others, ensuring a synergistic approach that enhances decision-making across various market conditions. This script is unique in its ability to combine these elements into a single, streamlined interface with clear visual cues and customizable alerts, making it suitable for both novice and experienced traders.
Key Features and How They Work Together
Volatility-Based Entry Zones
Purpose: Identifies overbought and oversold conditions using a volatility-adjusted moving average, helping traders spot potential reversal zones.
Mechanism: Utilizes a user-defined volatility length and multiplier to calculate dynamic overbought/oversold thresholds based on the standard deviation of price. Crossovers and crossunders of these levels trigger "Buy Zone" or "Sell Zone" labels.
Synergy: These zones act as the foundation for entry signals, which are later confirmed by momentum and trend filters to reduce false signals.
Trend-Based Price Targets
Purpose: Projects potential price targets based on the prevailing trend, giving traders clear objectives for profit-taking.
Mechanism: Combines a fast and slow moving average to determine trend direction, then calculates target prices using a multiplier of the price deviation from the slow MA. Labels display bullish or bearish targets when the fast MA crosses the slow MA.
Synergy: Works in tandem with entry zones and momentum signals to align targets with market conditions, ensuring traders aim for realistic price levels supported by trend strength.
Momentum Confirmation
Purpose: Validates entry signals by assessing momentum strength, filtering out weak setups.
Mechanism: Uses the momentum indicator to detect bullish or bearish momentum crossovers, labeling them as "Strong" or "Weak" based on a comparison with a smoothed momentum average.
Synergy: Enhances the reliability of buy/sell signals by ensuring momentum aligns with volatility zones and trend direction, reducing the risk of premature entries.
Dynamic Support/Resistance Levels
Purpose: Highlights key price levels where the market is likely to react, aiding in trade planning and risk management.
Mechanism: Detects pivot highs and lows over a user-defined lookback period, drawing horizontal lines for the most recent support and resistance levels (limited to two each for clarity). Labels mark these levels with price values.
Synergy: Complements entry zones and price targets by providing context for potential reversal or continuation points, helping traders set logical stop-losses or take-profits.
Buy/Sell Signals with Risk-Reward Ratios
Purpose: Generates precise buy/sell signals with integrated take-profit (TP), stop-loss (SL), and RRR calculations for disciplined trading.
Mechanism: Combines volatility zone crossovers, trend confirmation, and positive momentum to trigger signals. ATR-based TP and SL levels are calculated, and the RRR is displayed in labels for quick assessment.
Synergy: This feature ties together all previous components, ensuring signals are only generated when volatility, trend, and momentum align, while providing clear risk-reward metrics for trade evaluation.
Customizable Alerts
Purpose: Enables traders to stay informed of trading opportunities without constant chart monitoring.
Mechanism: Alert conditions are set for buy and sell signals, delivering notifications with the entry price for seamless integration into trading workflows.
Synergy: Enhances usability by allowing traders to act on high-probability setups identified by the indicator’s combined logic.
Originality
"Future is Here" is an original creation that distinguishes itself through its holistic approach to technical analysis. Unlike single-purpose indicators, it integrates volatility, trend, momentum, and support/resistance into a unified system, reducing the need for multiple scripts. The inclusion of RRR calculations directly in signal labels is a unique feature that empowers traders to evaluate trade quality instantly. The script’s design emphasizes clarity and efficiency, with cooldowns to prevent label clutter and a limit on support/resistance lines to maintain chart readability. This combination of features, along with its customizable parameters, makes it a versatile and novel tool for traders seeking a robust, all-in-one solution.
How to Use
Setup: Add the indicator to your TradingView chart and adjust input parameters (e.g., Volatility Length, Trend Length, TP/SL Multipliers) to suit your trading style and timeframe.
Interpretation:
Look for "Buy Zone" or "Sell Zone" labels to identify potential entry points.
Confirm entries with "Bull Mom" or "Bear Mom" labels and trend direction (Bull/Bear Target labels).
Use Support/Resistance lines to set logical TP/SL levels or anticipate reversals.
Evaluate Buy/Sell signals with TP, SL, and RRR for high-probability trades.
Alerts: Set up alerts for Buy/Sell signals to receive real-time notifications.
Customization: Fine-tune multipliers and lengths to adapt the indicator to different markets (e.g., stocks, forex, crypto) or timeframes.
TPO[Fixed Range, Anchored, Bars Back]TPO Bars Back, Fixed Range and Anchored
Overview
The TPO Profile (Time Price Opportunity Profile) is a powerful market profile indicator that displays the amount of time price spent at different levels during a specified period. Unlike traditional volume profile indicators that show volume distribution, TPO Profile shows time distribution , providing insights into where price has spent the most time and identifying key support and resistance levels.
Key Advantages Over TradingView's Built-in TPO
Simplified Composite Creation : Automatically creates TPO profiles for any time range without manual split/merge operations
Instant Value Area Calculation : Immediately shows Value Area, POC, VAH, and VAL for your selected period
No Manual Assembly Required : TradingView's native TPO requires you to manually split sessions and merge them to create composites - this indicator does it automatically
Flexible Time Ranges : Create composites for any custom time period (multiple days, weeks, specific events) with a few clicks
Real-time Composite Updates : Anchor mode creates live composites that update as new data arrives
Multiple Composite Analysis : Easily compare different time periods without the tedious manual process
Key Features
Core Functionality
Time-Based Analysis : Shows time spent at each price level rather than volume
Configurable Time Blocks : Use any timeframe for TPO counting (30min, 1H, 4H, etc.)
Multiple Price Levels : Adjustable from 5 to 200 levels for granular analysis
Point of Control (POC) : Automatically identifies the price level with highest time activity
Value Area Calculation : Shows the price range containing 70% (configurable) of time activity
Automatic Composite Generation : Creates multi-session composites without manual intervention
Three Operating Modes
1. Bars Back Mode
Analyzes the last N bars from the current bar
Perfect for recent market activity analysis
Range: 10-500 bars
Use Case : Intraday analysis, recent session review
2. Fixed Range Mode
Analyzes a specific time period between start and end times
Ideal for historical analysis of specific events
Creates perfect composites for multi-day periods
Use Case : Earnings periods, news events, specific trading sessions, weekly/monthly composites
3. Anchor Mode (NEW)
Starts from a specific time and extends to the current bar
Dynamically updates as new bars form
Perfect for building live composites from any starting point
Use Case : Live session monitoring, event-based analysis from a specific point, growing composites
Visual Elements
TPO Bars
Horizontal bars showing time distribution at each price level
Longer bars = more time spent at that level
Color-coded to distinguish Value Area from outlying levels
Point of Control (POC)
Red line marking the price level with highest time activity
Most significant support/resistance level
Configurable line style (Solid/Dashed/Dotted) and width
Value Area High/Low (VAH/VAL)
Green and Orange lines marking the boundaries of the Value Area
Shows the price range containing the specified percentage of time activity
Optional display with customizable line styles
Single Print Detection
Identifies price levels touched by only one time block
Display options: Lines or Boxes
Purple color highlighting these significant levels
Often act as strong support/resistance in future trading
Customization Options
Time Block Configuration
Block Time : Choose timeframe for TPO counting (30min, 1H, 4H, etc.)
Allows analysis at different time granularities
Higher timeframes = broader perspective, Lower timeframes = finer detail
Visual Styling
Line Styles : Solid, Dashed, or Dotted for all line elements
Line Widths : 1-5 pixels for POC, VAH, and VAL lines
Colors : Fully customizable colors for all elements
Transparency : Adjustable transparency for better chart readability
Label Management
Show/Hide Labels : Toggle POC, VAH, VAL labels
Font Sizes : Tiny, Small, Normal, Large, Huge
Label Positioning : 8 different position options relative to lines
Offset Controls : Fine-tune label positioning
Line Extension
Level Offset Right : Controls how far lines extend
Smart extension logic:
Value ≤ 0: Infinite extension (extend.right)
Value ≥ 1: Extends exactly N bars ahead
Trading Applications
Support & Resistance
POC often acts as strong support/resistance
Value Area boundaries provide key levels
Single prints frequently become significant levels
Market Structure Analysis
Identify areas of price acceptance (thick TPO bars)
Spot areas of price rejection (thin TPO bars)
Understand where market participants are comfortable trading
Composite Profile Analysis
Create multi-day, weekly, or monthly composites instantly
Compare different composite periods without manual work
Analyze longer-term price acceptance levels
Build composites around specific events or announcements
Session Analysis
Monitor intraday session development in real-time
Compare different sessions (London, New York, Asia)
Track how profiles change throughout the trading day
Build live composites across multiple sessions
Event Analysis
Use Fixed Range mode for earnings, news events
Use Anchor mode to track price development from specific events
Compare pre/post event price acceptance levels
Create event-based composites automatically
Input Parameters
Mode Selection
Mode : Bars Back | Fixed Range | Anchor
Bars Back : Number of bars to analyze (10-500)
Start Time : Beginning time for Fixed Range and Anchor modes
End Time : Ending time for Fixed Range mode only
Analysis Configuration
Block Time : Timeframe for TPO blocks (e.g., "30" for 30-minute blocks)
TPO Levels : Number of price levels (5-200)
Value Area % : Percentage for Value Area calculation (50-95%)
Display Options
Show POC : Display Point of Control line
Show Value Area : Display Value Area box
Show VAH/VAL Lines : Display Value Area boundary lines
Show Single Prints : Display single print detection
Single Print Style : Lines or Boxes
Styling Controls
Colors : TPO, POC, Value Area, VAH, VAL, Single Print colors
Line Styles : POC, VAH, VAL line styles
Line Widths : POC, VAH, VAL line widths
Labels : Show/hide, font size, position, offset controls
Technical Details
Calculation Method
Divides the price range into equal levels based on TPO Levels setting
For each time block, determines which price levels it crosses
Adds +1 count to each crossed level
Identifies POC as the level with highest count
Calculates Value Area by expanding from POC until target percentage is reached
Performance Considerations
Historical data limited to prevent buffer overflow errors
Smart bounds checking for different timeframes
Optimized cleanup routines to prevent drawing object accumulation
Pine Script Version
Built on Pine Script v6
Uses modern Pine Script best practices
Efficient array handling and drawing object management
Best Practices
Timeframe Selection
Block Time = Chart Timeframe : Traditional TPO approach
Block Time > Chart Timeframe : Smoother, broader perspective
Block Time < Chart Timeframe : More granular, detailed analysis
Level Count Guidelines
Low levels (10-20) : Better for swing trading, major levels
High levels (50-100) : Better for scalping, precise entries
Very high levels (100+) : For very detailed analysis
Mode Selection
Bars Back : Daily analysis, recent activity
Fixed Range : Historical events, specific periods, manual composites
Anchor : Live monitoring, event-based analysis, growing composites
Composite Creation Workflow
Select Fixed Range or Anchor mode
Set your desired start time (and end time for Fixed Range)
Adjust TPO Levels for desired granularity
Enable VAH/VAL lines to see Value Area boundaries
The composite profile generates automatically with all key levels
This indicator eliminates the tedious manual process of creating composite TPO profiles in TradingView. Instead of splitting sessions and manually merging them, you get instant composite analysis with automatic Value Area calculation, POC identification, and single print detection. The combination of time-based analysis, multiple operating modes, and extensive customization options makes it a powerful tool for understanding market structure and price acceptance levels across any time period.
CirclesCircles - Support & Resistance Levels
Overview
This indicator plots horizontal support and resistance levels based on W.D. Gann's mathematical approach of dividing 360 degrees by 2 and by 3. These divisions create natural price magnetism points that have historically acted as significant support and resistance levels across all markets and timeframes.
How It Works
360÷2 Levels (Blue): 5.63, 11.25, 33.75, 56.25, 78.75, etc.
360÷3 Levels (Red): 7.5, 15, 30, 37.5, 52.5, 60, 75, etc.
Both Levels (Yellow): 22.5, 45, 67.5, 90, 112.5, 135, 157.5, 180 - These are "doubly strong" as they appear in both calculations
Key Features
Auto-Scaling: Automatically adjusts for any price range (from $0.001 altcoins to $100K+ Bitcoin)
Manual Scaling: Choose from 0.001x to 1000x multipliers or set custom values
Full Customization: Colors, line widths, styles (solid/dashed/dotted)
Historical View: Option to show all levels regardless of current price
Clean Display: Adjustable label positioning and line extensions
Use Cases
Identify potential reversal zones before price reaches them
Set profit targets and stop losses at key mathematical levels
Confirm breakouts when price decisively moves through major levels
Works on all timeframes and all markets (stocks, crypto, forex, commodities)
Gann Theory
W.D. Gann believed that markets move in mathematical harmony based on geometric angles and time cycles. These 360-degree divisions represent natural balance points where price often finds support or resistance, making them valuable for both short-term trading and long-term analysis.
Perfect for traders who use:
Support/Resistance trading
Fibonacci levels
Pivot points
Mathematical/geometric analysis
Multi-timeframe analysis
Contrarian with 5 Levels5 Levels application was inspired and adapted from Predictive Ranges indicator developed by Lux Algo. So much credit to their work.
Indicator Description: Contrarian with 5 Levels
Overview
The "Contrarian with 5 Levels" indicator is a powerful tool designed for traders seeking to identify potential reversal points in the market by combining contrarian trading principles with dynamic support and resistance levels. This indicator overlays a Simple Moving Average (SMA) shadow and five adaptive price levels, integrating Institutional Concepts of Structure (ICT) such as Break of Structure (BOS) and Market Structure Shift (MSS) to provide clear buy and sell signals. It is ideal for traders looking to capitalize on overextended price movements, particularly on the daily timeframe, though it is adaptable to other timeframes with proper testing.
How It Works
The indicator operates on two core components:
Contrarian SMA Shadow: A shaded region between the SMA of highs and lows (default length: 100) acts as a dynamic zone to identify overbought or oversold conditions. When the price moves significantly outside this shadow, it signals potential exhaustion, aligning with contrarian trading principles.
Five Adaptive Levels: Using a modified ATR-based calculation, the indicator plots five key levels (two resistance, one average, and two support) that adjust dynamically to market volatility. These levels serve as critical zones for potential reversals.
ICT Structure Analysis: The indicator incorporates BOS and MSS logic to detect shifts in market structure, plotting bullish and bearish breaks with customizable colors for clarity.
Buy and sell signals are generated when the price crosses key levels while outside the SMA shadow, indicating potential reversal opportunities. The signals are visualized as small circles above (sell) or below (buy) the price bars, making them easy to interpret.
Mathematical Concepts
SMA Shadow: The indicator calculates the SMA of the highest highs and lowest lows over a user-defined period (default: 100). This creates a dynamic range that highlights extreme price movements, which contrarian traders often target for reversals.
Five Levels Calculation: The five levels are derived using a volatility-adjusted formula based on the Average True Range (ATR). The average level (central pivot) is calculated as a smoothed price, with two upper (resistance) and two lower (support) levels offset by a multiple of the ATR (default multiplier: 6.0). This adaptive approach ensures the levels remain relevant across varying market conditions.
ICT BOS/MSS Logic: The indicator identifies pivot highs and lows on a user-defined timeframe (default: daily) to detect structural breaks. A BOS occurs when the price breaks a prior pivot high (bullish) or low (bearish), while an MSS signals a shift in market direction, providing context for potential reversals.
Entry and Exit Rules
Buy Signal (Blue Dot Below Bar): Triggered when the closing price is below both the SMA shadow (smaLow) and the average level (avg), and the price crosses under either the first or second support level (prS1 or prS2). This suggests the market may be oversold, indicating a potential reversal upward.
Sell Signal (White Dot Above Bar): Triggered when the closing price is above both the SMA shadow (smaHigh) and the average level (avg), and the price crosses over either the first or second resistance level (prR1 or prR2). This suggests the market may be overbought, indicating a potential reversal downward.
Recommended Usage
This indicator is optimized for the daily timeframe, where it has been designed to capture significant reversal opportunities in trending or ranging markets. However, it can be adapted to other timeframes (e.g., 1H, 4H, 15M) with proper testing of settings such as SMA length, ATR multiplier, and structure timeframe. Users are encouraged to backtest and optimize parameters to suit their trading style and asset class.
Customization Options
SMA Length: Adjust the SMA period (default: 100) to control the sensitivity of the shadow.
Five Levels Length and Multiplier: Modify the length (default: 200) and ATR multiplier (default: 6.0) to fine-tune the support/resistance levels.
Timeframe Settings: Set separate timeframes for structure analysis and five levels to align with your trading strategy.
Color and Signal Display: Customize colors for BOS/MSS lines and toggle buy/sell signals on or off for a cleaner chart.
Why Use This Indicator?
The "Contrarian with 5 Levels" indicator combines the power of contrarian trading with dynamic levels and market structure analysis, offering a unique perspective for identifying high-probability reversal setups. Its intuitive design, customizable settings, and clear signal visualization make it suitable for both novice and experienced traders. Whether you're trading forex, stocks, or cryptocurrencies, this indicator provides a robust framework for spotting potential turning points in the market.
We hope you find the "Contrarian with 5 Levels" indicator a valuable addition to your trading toolkit! Happy trading!
Please leave feedback in the comments section.
Tensor Market Analysis Engine (TMAE)# Tensor Market Analysis Engine (TMAE)
## Advanced Multi-Dimensional Mathematical Analysis System
*Where Quantum Mathematics Meets Market Structure*
---
## 🎓 THEORETICAL FOUNDATION
The Tensor Market Analysis Engine represents a revolutionary synthesis of three cutting-edge mathematical frameworks that have never before been combined for comprehensive market analysis. This indicator transcends traditional technical analysis by implementing advanced mathematical concepts from quantum mechanics, information theory, and fractal geometry.
### 🌊 Multi-Dimensional Volatility with Jump Detection
**Hawkes Process Implementation:**
The TMAE employs a sophisticated Hawkes process approximation for detecting self-exciting market jumps. Unlike traditional volatility measures that treat price movements as independent events, the Hawkes process recognizes that market shocks cluster and exhibit memory effects.
**Mathematical Foundation:**
```
Intensity λ(t) = μ + Σ α(t - Tᵢ)
```
Where market jumps at times Tᵢ increase the probability of future jumps through the decay function α, controlled by the Hawkes Decay parameter (0.5-0.99).
**Mahalanobis Distance Calculation:**
The engine calculates volatility jumps using multi-dimensional Mahalanobis distance across up to 5 volatility dimensions:
- **Dimension 1:** Price volatility (standard deviation of returns)
- **Dimension 2:** Volume volatility (normalized volume fluctuations)
- **Dimension 3:** Range volatility (high-low spread variations)
- **Dimension 4:** Correlation volatility (price-volume relationship changes)
- **Dimension 5:** Microstructure volatility (intrabar positioning analysis)
This creates a volatility state vector that captures market behavior impossible to detect with traditional single-dimensional approaches.
### 📐 Hurst Exponent Regime Detection
**Fractal Market Hypothesis Integration:**
The TMAE implements advanced Rescaled Range (R/S) analysis to calculate the Hurst exponent in real-time, providing dynamic regime classification:
- **H > 0.6:** Trending (persistent) markets - momentum strategies optimal
- **H < 0.4:** Mean-reverting (anti-persistent) markets - contrarian strategies optimal
- **H ≈ 0.5:** Random walk markets - breakout strategies preferred
**Adaptive R/S Analysis:**
Unlike static implementations, the TMAE uses adaptive windowing that adjusts to market conditions:
```
H = log(R/S) / log(n)
```
Where R is the range of cumulative deviations and S is the standard deviation over period n.
**Dynamic Regime Classification:**
The system employs hysteresis to prevent regime flipping, requiring sustained Hurst values before regime changes are confirmed. This prevents false signals during transitional periods.
### 🔄 Transfer Entropy Analysis
**Information Flow Quantification:**
Transfer entropy measures the directional flow of information between price and volume, revealing lead-lag relationships that indicate future price movements:
```
TE(X→Y) = Σ p(yₜ₊₁, yₜ, xₜ) log
```
**Causality Detection:**
- **Volume → Price:** Indicates accumulation/distribution phases
- **Price → Volume:** Suggests retail participation or momentum chasing
- **Balanced Flow:** Market equilibrium or transition periods
The system analyzes multiple lag periods (2-20 bars) to capture both immediate and structural information flows.
---
## 🔧 COMPREHENSIVE INPUT SYSTEM
### Core Parameters Group
**Primary Analysis Window (10-100, Default: 50)**
The fundamental lookback period affecting all calculations. Optimization by timeframe:
- **1-5 minute charts:** 20-30 (rapid adaptation to micro-movements)
- **15 minute-1 hour:** 30-50 (balanced responsiveness and stability)
- **4 hour-daily:** 50-100 (smooth signals, reduced noise)
- **Asset-specific:** Cryptocurrency 20-35, Stocks 35-50, Forex 40-60
**Signal Sensitivity (0.1-2.0, Default: 0.7)**
Master control affecting all threshold calculations:
- **Conservative (0.3-0.6):** High-quality signals only, fewer false positives
- **Balanced (0.7-1.0):** Optimal risk-reward ratio for most trading styles
- **Aggressive (1.1-2.0):** Maximum signal frequency, requires careful filtering
**Signal Generation Mode:**
- **Aggressive:** Any component signals (highest frequency)
- **Confluence:** 2+ components agree (balanced approach)
- **Conservative:** All 3 components align (highest quality)
### Volatility Jump Detection Group
**Volatility Dimensions (2-5, Default: 3)**
Determines the mathematical space complexity:
- **2D:** Price + Volume volatility (suitable for clean markets)
- **3D:** + Range volatility (optimal for most conditions)
- **4D:** + Correlation volatility (advanced multi-asset analysis)
- **5D:** + Microstructure volatility (maximum sensitivity)
**Jump Detection Threshold (1.5-4.0σ, Default: 3.0σ)**
Standard deviations required for volatility jump classification:
- **Cryptocurrency:** 2.0-2.5σ (naturally volatile)
- **Stock Indices:** 2.5-3.0σ (moderate volatility)
- **Forex Major Pairs:** 3.0-3.5σ (typically stable)
- **Commodities:** 2.0-3.0σ (varies by commodity)
**Jump Clustering Decay (0.5-0.99, Default: 0.85)**
Hawkes process memory parameter:
- **0.5-0.7:** Fast decay (jumps treated as independent)
- **0.8-0.9:** Moderate clustering (realistic market behavior)
- **0.95-0.99:** Strong clustering (crisis/event-driven markets)
### Hurst Exponent Analysis Group
**Calculation Method Options:**
- **Classic R/S:** Original Rescaled Range (fast, simple)
- **Adaptive R/S:** Dynamic windowing (recommended for trading)
- **DFA:** Detrended Fluctuation Analysis (best for noisy data)
**Trending Threshold (0.55-0.8, Default: 0.60)**
Hurst value defining persistent market behavior:
- **0.55-0.60:** Weak trend persistence
- **0.65-0.70:** Clear trending behavior
- **0.75-0.80:** Strong momentum regimes
**Mean Reversion Threshold (0.2-0.45, Default: 0.40)**
Hurst value defining anti-persistent behavior:
- **0.35-0.45:** Weak mean reversion
- **0.25-0.35:** Clear ranging behavior
- **0.15-0.25:** Strong reversion tendency
### Transfer Entropy Parameters Group
**Information Flow Analysis:**
- **Price-Volume:** Classic flow analysis for accumulation/distribution
- **Price-Volatility:** Risk flow analysis for sentiment shifts
- **Multi-Timeframe:** Cross-timeframe causality detection
**Maximum Lag (2-20, Default: 5)**
Causality detection window:
- **2-5 bars:** Immediate causality (scalping)
- **5-10 bars:** Short-term flow (day trading)
- **10-20 bars:** Structural flow (swing trading)
**Significance Threshold (0.05-0.3, Default: 0.15)**
Minimum entropy for signal generation:
- **0.05-0.10:** Detect subtle information flows
- **0.10-0.20:** Clear causality only
- **0.20-0.30:** Very strong flows only
---
## 🎨 ADVANCED VISUAL SYSTEM
### Tensor Volatility Field Visualization
**Five-Layer Resonance Bands:**
The tensor field creates dynamic support/resistance zones that expand and contract based on mathematical field strength:
- **Core Layer (Purple):** Primary tensor field with highest intensity
- **Layer 2 (Neutral):** Secondary mathematical resonance
- **Layer 3 (Info Blue):** Tertiary harmonic frequencies
- **Layer 4 (Warning Gold):** Outer field boundaries
- **Layer 5 (Success Green):** Maximum field extension
**Field Strength Calculation:**
```
Field Strength = min(3.0, Mahalanobis Distance × Tensor Intensity)
```
The field amplitude adjusts to ATR and mathematical distance, creating dynamic zones that respond to market volatility.
**Radiation Line Network:**
During active tensor states, the system projects directional radiation lines showing field energy distribution:
- **8 Directional Rays:** Complete angular coverage
- **Tapering Segments:** Progressive transparency for natural visual flow
- **Pulse Effects:** Enhanced visualization during volatility jumps
### Dimensional Portal System
**Portal Mathematics:**
Dimensional portals visualize regime transitions using category theory principles:
- **Green Portals (◉):** Trending regime detection (appear below price for support)
- **Red Portals (◎):** Mean-reverting regime (appear above price for resistance)
- **Yellow Portals (○):** Random walk regime (neutral positioning)
**Tensor Trail Effects:**
Each portal generates 8 trailing particles showing mathematical momentum:
- **Large Particles (●):** Strong mathematical signal
- **Medium Particles (◦):** Moderate signal strength
- **Small Particles (·):** Weak signal continuation
- **Micro Particles (˙):** Signal dissipation
### Information Flow Streams
**Particle Stream Visualization:**
Transfer entropy creates flowing particle streams indicating information direction:
- **Upward Streams:** Volume leading price (accumulation phases)
- **Downward Streams:** Price leading volume (distribution phases)
- **Stream Density:** Proportional to information flow strength
**15-Particle Evolution:**
Each stream contains 15 particles with progressive sizing and transparency, creating natural flow visualization that makes information transfer immediately apparent.
### Fractal Matrix Grid System
**Multi-Timeframe Fractal Levels:**
The system calculates and displays fractal highs/lows across five Fibonacci periods:
- **8-Period:** Short-term fractal structure
- **13-Period:** Intermediate-term patterns
- **21-Period:** Primary swing levels
- **34-Period:** Major structural levels
- **55-Period:** Long-term fractal boundaries
**Triple-Layer Visualization:**
Each fractal level uses three-layer rendering:
- **Shadow Layer:** Widest, darkest foundation (width 5)
- **Glow Layer:** Medium white core line (width 3)
- **Tensor Layer:** Dotted mathematical overlay (width 1)
**Intelligent Labeling System:**
Smart spacing prevents label overlap using ATR-based minimum distances. Labels include:
- **Fractal Period:** Time-based identification
- **Topological Class:** Mathematical complexity rating (0, I, II, III)
- **Price Level:** Exact fractal price
- **Mahalanobis Distance:** Current mathematical field strength
- **Hurst Exponent:** Current regime classification
- **Anomaly Indicators:** Visual strength representations (○ ◐ ● ⚡)
### Wick Pressure Analysis
**Rejection Level Mathematics:**
The system analyzes candle wick patterns to project future pressure zones:
- **Upper Wick Analysis:** Identifies selling pressure and resistance zones
- **Lower Wick Analysis:** Identifies buying pressure and support zones
- **Pressure Projection:** Extends lines forward based on mathematical probability
**Multi-Layer Glow Effects:**
Wick pressure lines use progressive transparency (1-8 layers) creating natural glow effects that make pressure zones immediately visible without cluttering the chart.
### Enhanced Regime Background
**Dynamic Intensity Mapping:**
Background colors reflect mathematical regime strength:
- **Deep Transparency (98% alpha):** Subtle regime indication
- **Pulse Intensity:** Based on regime strength calculation
- **Color Coding:** Green (trending), Red (mean-reverting), Neutral (random)
**Smoothing Integration:**
Regime changes incorporate 10-bar smoothing to prevent background flicker while maintaining responsiveness to genuine regime shifts.
### Color Scheme System
**Six Professional Themes:**
- **Dark (Default):** Professional trading environment optimization
- **Light:** High ambient light conditions
- **Classic:** Traditional technical analysis appearance
- **Neon:** High-contrast visibility for active trading
- **Neutral:** Minimal distraction focus
- **Bright:** Maximum visibility for complex setups
Each theme maintains mathematical accuracy while optimizing visual clarity for different trading environments and personal preferences.
---
## 📊 INSTITUTIONAL-GRADE DASHBOARD
### Tensor Field Status Section
**Field Strength Display:**
Real-time Mahalanobis distance calculation with dynamic emoji indicators:
- **⚡ (Lightning):** Extreme field strength (>1.5× threshold)
- **● (Solid Circle):** Strong field activity (>1.0× threshold)
- **○ (Open Circle):** Normal field state
**Signal Quality Rating:**
Democratic algorithm assessment:
- **ELITE:** All 3 components aligned (highest probability)
- **STRONG:** 2 components aligned (good probability)
- **GOOD:** 1 component active (moderate probability)
- **WEAK:** No clear component signals
**Threshold and Anomaly Monitoring:**
- **Threshold Display:** Current mathematical threshold setting
- **Anomaly Level (0-100%):** Combined volatility and volume spike measurement
- **>70%:** High anomaly (red warning)
- **30-70%:** Moderate anomaly (orange caution)
- **<30%:** Normal conditions (green confirmation)
### Tensor State Analysis Section
**Mathematical State Classification:**
- **↑ BULL (Tensor State +1):** Trending regime with bullish bias
- **↓ BEAR (Tensor State -1):** Mean-reverting regime with bearish bias
- **◈ SUPER (Tensor State 0):** Random walk regime (neutral)
**Visual State Gauge:**
Five-circle progression showing tensor field polarity:
- **🟢🟢🟢⚪⚪:** Strong bullish mathematical alignment
- **⚪⚪🟡⚪⚪:** Neutral/transitional state
- **⚪⚪🔴🔴🔴:** Strong bearish mathematical alignment
**Trend Direction and Phase Analysis:**
- **📈 BULL / 📉 BEAR / ➡️ NEUTRAL:** Primary trend classification
- **🌪️ CHAOS:** Extreme information flow (>2.0 flow strength)
- **⚡ ACTIVE:** Strong information flow (1.0-2.0 flow strength)
- **😴 CALM:** Low information flow (<1.0 flow strength)
### Trading Signals Section
**Real-Time Signal Status:**
- **🟢 ACTIVE / ⚪ INACTIVE:** Long signal availability
- **🔴 ACTIVE / ⚪ INACTIVE:** Short signal availability
- **Components (X/3):** Active algorithmic components
- **Mode Display:** Current signal generation mode
**Signal Strength Visualization:**
Color-coded component count:
- **Green:** 3/3 components (maximum confidence)
- **Aqua:** 2/3 components (good confidence)
- **Orange:** 1/3 components (moderate confidence)
- **Gray:** 0/3 components (no signals)
### Performance Metrics Section
**Win Rate Monitoring:**
Estimated win rates based on signal quality with emoji indicators:
- **🔥 (Fire):** ≥60% estimated win rate
- **👍 (Thumbs Up):** 45-59% estimated win rate
- **⚠️ (Warning):** <45% estimated win rate
**Mathematical Metrics:**
- **Hurst Exponent:** Real-time fractal dimension (0.000-1.000)
- **Information Flow:** Volume/price leading indicators
- **📊 VOL:** Volume leading price (accumulation/distribution)
- **💰 PRICE:** Price leading volume (momentum/speculation)
- **➖ NONE:** Balanced information flow
- **Volatility Classification:**
- **🔥 HIGH:** Above 1.5× jump threshold
- **📊 NORM:** Normal volatility range
- **😴 LOW:** Below 0.5× jump threshold
### Market Structure Section (Large Dashboard)
**Regime Classification:**
- **📈 TREND:** Hurst >0.6, momentum strategies optimal
- **🔄 REVERT:** Hurst <0.4, contrarian strategies optimal
- **🎲 RANDOM:** Hurst ≈0.5, breakout strategies preferred
**Mathematical Field Analysis:**
- **Dimensions:** Current volatility space complexity (2D-5D)
- **Hawkes λ (Lambda):** Self-exciting jump intensity (0.00-1.00)
- **Jump Status:** 🚨 JUMP (active) / ✅ NORM (normal)
### Settings Summary Section (Large Dashboard)
**Active Configuration Display:**
- **Sensitivity:** Current master sensitivity setting
- **Lookback:** Primary analysis window
- **Theme:** Active color scheme
- **Method:** Hurst calculation method (Classic R/S, Adaptive R/S, DFA)
**Dashboard Sizing Options:**
- **Small:** Essential metrics only (mobile/small screens)
- **Normal:** Balanced information density (standard desktop)
- **Large:** Maximum detail (multi-monitor setups)
**Position Options:**
- **Top Right:** Standard placement (avoids price action)
- **Top Left:** Wide chart optimization
- **Bottom Right:** Recent price focus (scalping)
- **Bottom Left:** Maximum price visibility (swing trading)
---
## 🎯 SIGNAL GENERATION LOGIC
### Multi-Component Convergence System
**Component Signal Architecture:**
The TMAE generates signals through sophisticated component analysis rather than simple threshold crossing:
**Volatility Component:**
- **Jump Detection:** Mahalanobis distance threshold breach
- **Hawkes Intensity:** Self-exciting process activation (>0.2)
- **Multi-dimensional:** Considers all volatility dimensions simultaneously
**Hurst Regime Component:**
- **Trending Markets:** Price above SMA-20 with positive momentum
- **Mean-Reverting Markets:** Price at Bollinger Band extremes
- **Random Markets:** Bollinger squeeze breakouts with directional confirmation
**Transfer Entropy Component:**
- **Volume Leadership:** Information flow from volume to price
- **Volume Spike:** Volume 110%+ above 20-period average
- **Flow Significance:** Above entropy threshold with directional bias
### Democratic Signal Weighting
**Signal Mode Implementation:**
- **Aggressive Mode:** Any single component triggers signal
- **Confluence Mode:** Minimum 2 components must agree
- **Conservative Mode:** All 3 components must align
**Momentum Confirmation:**
All signals require momentum confirmation:
- **Long Signals:** RSI >50 AND price >EMA-9
- **Short Signals:** RSI <50 AND price 0.6):**
- **Increase Sensitivity:** Catch momentum continuation
- **Lower Mean Reversion Threshold:** Avoid counter-trend signals
- **Emphasize Volume Leadership:** Institutional accumulation/distribution
- **Tensor Field Focus:** Use expansion for trend continuation
- **Signal Mode:** Aggressive or Confluence for trend following
**Range-Bound Markets (Hurst <0.4):**
- **Decrease Sensitivity:** Avoid false breakouts
- **Lower Trending Threshold:** Quick regime recognition
- **Focus on Price Leadership:** Retail sentiment extremes
- **Fractal Grid Emphasis:** Support/resistance trading
- **Signal Mode:** Conservative for high-probability reversals
**Volatile Markets (High Jump Frequency):**
- **Increase Hawkes Decay:** Recognize event clustering
- **Higher Jump Threshold:** Avoid noise signals
- **Maximum Dimensions:** Capture full volatility complexity
- **Reduce Position Sizing:** Risk management adaptation
- **Enhanced Visuals:** Maximum information for rapid decisions
**Low Volatility Markets (Low Jump Frequency):**
- **Decrease Jump Threshold:** Capture subtle movements
- **Lower Hawkes Decay:** Treat moves as independent
- **Reduce Dimensions:** Simplify analysis
- **Increase Position Sizing:** Capitalize on compressed volatility
- **Minimal Visuals:** Reduce distraction in quiet markets
---
## 🚀 ADVANCED TRADING STRATEGIES
### The Mathematical Convergence Method
**Entry Protocol:**
1. **Fractal Grid Approach:** Monitor price approaching significant fractal levels
2. **Tensor Field Confirmation:** Verify field expansion supporting direction
3. **Portal Signal:** Wait for dimensional portal appearance
4. **ELITE/STRONG Quality:** Only trade highest quality mathematical signals
5. **Component Consensus:** Confirm 2+ components agree in Confluence mode
**Example Implementation:**
- Price approaching 21-period fractal high
- Tensor field expanding upward (bullish mathematical alignment)
- Green portal appears below price (trending regime confirmation)
- ELITE quality signal with 3/3 components active
- Enter long position with stop below fractal level
**Risk Management:**
- **Stop Placement:** Below/above fractal level that generated signal
- **Position Sizing:** Based on Mahalanobis distance (higher distance = smaller size)
- **Profit Targets:** Next fractal level or tensor field resistance
### The Regime Transition Strategy
**Regime Change Detection:**
1. **Monitor Hurst Exponent:** Watch for persistent moves above/below thresholds
2. **Portal Color Change:** Regime transitions show different portal colors
3. **Background Intensity:** Increasing regime background intensity
4. **Mathematical Confirmation:** Wait for regime confirmation (hysteresis)
**Trading Implementation:**
- **Trending Transitions:** Trade momentum breakouts, follow trend
- **Mean Reversion Transitions:** Trade range boundaries, fade extremes
- **Random Transitions:** Trade breakouts with tight stops
**Advanced Techniques:**
- **Multi-Timeframe:** Confirm regime on higher timeframe
- **Early Entry:** Enter on regime transition rather than confirmation
- **Regime Strength:** Larger positions during strong regime signals
### The Information Flow Momentum Strategy
**Flow Detection Protocol:**
1. **Monitor Transfer Entropy:** Watch for significant information flow shifts
2. **Volume Leadership:** Strong edge when volume leads price
3. **Flow Acceleration:** Increasing flow strength indicates momentum
4. **Directional Confirmation:** Ensure flow aligns with intended trade direction
**Entry Signals:**
- **Volume → Price Flow:** Enter during accumulation/distribution phases
- **Price → Volume Flow:** Enter on momentum confirmation breaks
- **Flow Reversal:** Counter-trend entries when flow reverses
**Optimization:**
- **Scalping:** Use immediate flow detection (2-5 bar lag)
- **Swing Trading:** Use structural flow (10-20 bar lag)
- **Multi-Asset:** Compare flow between correlated assets
### The Tensor Field Expansion Strategy
**Field Mathematics:**
The tensor field expansion indicates mathematical pressure building in market structure:
**Expansion Phases:**
1. **Compression:** Field contracts, volatility decreases
2. **Tension Building:** Mathematical pressure accumulates
3. **Expansion:** Field expands rapidly with directional movement
4. **Resolution:** Field stabilizes at new equilibrium
**Trading Applications:**
- **Compression Trading:** Prepare for breakout during field contraction
- **Expansion Following:** Trade direction of field expansion
- **Reversion Trading:** Fade extreme field expansion
- **Multi-Dimensional:** Consider all field layers for confirmation
### The Hawkes Process Event Strategy
**Self-Exciting Jump Trading:**
Understanding that market shocks cluster and create follow-on opportunities:
**Jump Sequence Analysis:**
1. **Initial Jump:** First volatility jump detected
2. **Clustering Phase:** Hawkes intensity remains elevated
3. **Follow-On Opportunities:** Additional jumps more likely
4. **Decay Period:** Intensity gradually decreases
**Implementation:**
- **Jump Confirmation:** Wait for mathematical jump confirmation
- **Direction Assessment:** Use other components for direction
- **Clustering Trades:** Trade subsequent moves during high intensity
- **Decay Exit:** Exit positions as Hawkes intensity decays
### The Fractal Confluence System
**Multi-Timeframe Fractal Analysis:**
Combining fractal levels across different periods for high-probability zones:
**Confluence Zones:**
- **Double Confluence:** 2 fractal levels align
- **Triple Confluence:** 3+ fractal levels cluster
- **Mathematical Confirmation:** Tensor field supports the level
- **Information Flow:** Transfer entropy confirms direction
**Trading Protocol:**
1. **Identify Confluence:** Find 2+ fractal levels within 1 ATR
2. **Mathematical Support:** Verify tensor field alignment
3. **Signal Quality:** Wait for STRONG or ELITE signal
4. **Risk Definition:** Use fractal level for stop placement
5. **Profit Targeting:** Next major fractal confluence zone
---
## ⚠️ COMPREHENSIVE RISK MANAGEMENT
### Mathematical Position Sizing
**Mahalanobis Distance Integration:**
Position size should inversely correlate with mathematical field strength:
```
Position Size = Base Size × (Threshold / Mahalanobis Distance)
```
**Risk Scaling Matrix:**
- **Low Field Strength (<2.0):** Standard position sizing
- **Moderate Field Strength (2.0-3.0):** 75% position sizing
- **High Field Strength (3.0-4.0):** 50% position sizing
- **Extreme Field Strength (>4.0):** 25% position sizing or no trade
### Signal Quality Risk Adjustment
**Quality-Based Position Sizing:**
- **ELITE Signals:** 100% of planned position size
- **STRONG Signals:** 75% of planned position size
- **GOOD Signals:** 50% of planned position size
- **WEAK Signals:** No position or paper trading only
**Component Agreement Scaling:**
- **3/3 Components:** Full position size
- **2/3 Components:** 75% position size
- **1/3 Components:** 50% position size or skip trade
### Regime-Adaptive Risk Management
**Trending Market Risk:**
- **Wider Stops:** Allow for trend continuation
- **Trend Following:** Trade with regime direction
- **Higher Position Size:** Trend probability advantage
- **Momentum Stops:** Trail stops based on momentum indicators
**Mean-Reverting Market Risk:**
- **Tighter Stops:** Quick exits on trend continuation
- **Contrarian Positioning:** Trade against extremes
- **Smaller Position Size:** Higher reversal failure rate
- **Level-Based Stops:** Use fractal levels for stops
**Random Market Risk:**
- **Breakout Focus:** Trade only clear breakouts
- **Tight Initial Stops:** Quick exit if breakout fails
- **Reduced Frequency:** Skip marginal setups
- **Range-Based Targets:** Profit targets at range boundaries
### Volatility-Adaptive Risk Controls
**High Volatility Periods:**
- **Reduced Position Size:** Account for wider price swings
- **Wider Stops:** Avoid noise-based exits
- **Lower Frequency:** Skip marginal setups
- **Faster Exits:** Take profits more quickly
**Low Volatility Periods:**
- **Standard Position Size:** Normal risk parameters
- **Tighter Stops:** Take advantage of compressed ranges
- **Higher Frequency:** Trade more setups
- **Extended Targets:** Allow for compressed volatility expansion
### Multi-Timeframe Risk Alignment
**Higher Timeframe Trend:**
- **With Trend:** Standard or increased position size
- **Against Trend:** Reduced position size or skip
- **Neutral Trend:** Standard position size with tight management
**Risk Hierarchy:**
1. **Primary:** Current timeframe signal quality
2. **Secondary:** Higher timeframe trend alignment
3. **Tertiary:** Mathematical field strength
4. **Quaternary:** Market regime classification
---
## 📚 EDUCATIONAL VALUE AND MATHEMATICAL CONCEPTS
### Advanced Mathematical Concepts
**Tensor Analysis in Markets:**
The TMAE introduces traders to tensor analysis, a branch of mathematics typically reserved for physics and advanced engineering. Tensors provide a framework for understanding multi-dimensional market relationships that scalar and vector analysis cannot capture.
**Information Theory Applications:**
Transfer entropy implementation teaches traders about information flow in markets, a concept from information theory that quantifies directional causality between variables. This provides intuition about market microstructure and participant behavior.
**Fractal Geometry in Trading:**
The Hurst exponent calculation exposes traders to fractal geometry concepts, helping understand that markets exhibit self-similar patterns across multiple timeframes. This mathematical insight transforms how traders view market structure.
**Stochastic Process Theory:**
The Hawkes process implementation introduces concepts from stochastic process theory, specifically self-exciting point processes. This provides mathematical framework for understanding why market events cluster and exhibit memory effects.
### Learning Progressive Complexity
**Beginner Mathematical Concepts:**
- **Volatility Dimensions:** Understanding multi-dimensional analysis
- **Regime Classification:** Learning market personality types
- **Signal Democracy:** Algorithmic consensus building
- **Visual Mathematics:** Interpreting mathematical concepts visually
**Intermediate Mathematical Applications:**
- **Mahalanobis Distance:** Statistical distance in multi-dimensional space
- **Rescaled Range Analysis:** Fractal dimension measurement
- **Information Entropy:** Quantifying uncertainty and causality
- **Field Theory:** Understanding mathematical fields in market context
**Advanced Mathematical Integration:**
- **Tensor Field Dynamics:** Multi-dimensional market force analysis
- **Stochastic Self-Excitation:** Event clustering and memory effects
- **Categorical Composition:** Mathematical signal combination theory
- **Topological Market Analysis:** Understanding market shape and connectivity
### Practical Mathematical Intuition
**Developing Market Mathematics Intuition:**
The TMAE serves as a bridge between abstract mathematical concepts and practical trading applications. Traders develop intuitive understanding of:
- **How markets exhibit mathematical structure beneath apparent randomness**
- **Why multi-dimensional analysis reveals patterns invisible to single-variable approaches**
- **How information flows through markets in measurable, predictable ways**
- **Why mathematical models provide probabilistic edges rather than certainties**
---
## 🔬 IMPLEMENTATION AND OPTIMIZATION
### Getting Started Protocol
**Phase 1: Observation (Week 1)**
1. **Apply with defaults:** Use standard settings on your primary trading timeframe
2. **Study visual elements:** Learn to interpret tensor fields, portals, and streams
3. **Monitor dashboard:** Observe how metrics change with market conditions
4. **No trading:** Focus entirely on pattern recognition and understanding
**Phase 2: Pattern Recognition (Week 2-3)**
1. **Identify signal patterns:** Note what market conditions produce different signal qualities
2. **Regime correlation:** Observe how Hurst regimes affect signal performance
3. **Visual confirmation:** Learn to read tensor field expansion and portal signals
4. **Component analysis:** Understand which components drive signals in different markets
**Phase 3: Parameter Optimization (Week 4-5)**
1. **Asset-specific tuning:** Adjust parameters for your specific trading instrument
2. **Timeframe optimization:** Fine-tune for your preferred trading timeframe
3. **Sensitivity adjustment:** Balance signal frequency with quality
4. **Visual customization:** Optimize colors and intensity for your trading environment
**Phase 4: Live Implementation (Week 6+)**
1. **Paper trading:** Test signals with hypothetical trades
2. **Small position sizing:** Begin with minimal risk during learning phase
3. **Performance tracking:** Monitor actual vs. expected signal performance
4. **Continuous optimization:** Refine settings based on real performance data
### Performance Monitoring System
**Signal Quality Tracking:**
- **ELITE Signal Win Rate:** Track highest quality signals separately
- **Component Performance:** Monitor which components provide best signals
- **Regime Performance:** Analyze performance across different market regimes
- **Timeframe Analysis:** Compare performance across different session times
**Mathematical Metric Correlation:**
- **Field Strength vs. Performance:** Higher field strength should correlate with better performance
- **Component Agreement vs. Win Rate:** More component agreement should improve win rates
- **Regime Alignment vs. Success:** Trading with mathematical regime should outperform
### Continuous Optimization Process
**Monthly Review Protocol:**
1. **Performance Analysis:** Review win rates, profit factors, and maximum drawdown
2. **Parameter Assessment:** Evaluate if current settings remain optimal
3. **Market Adaptation:** Adjust for changes in market character or volatility
4. **Component Weighting:** Consider if certain components should receive more/less emphasis
**Quarterly Deep Analysis:**
1. **Mathematical Model Validation:** Verify that mathematical relationships remain valid
2. **Regime Distribution:** Analyze time spent in different market regimes
3. **Signal Evolution:** Track how signal characteristics change over time
4. **Correlation Analysis:** Monitor correlations between different mathematical components
---
## 🌟 UNIQUE INNOVATIONS AND CONTRIBUTIONS
### Revolutionary Mathematical Integration
**First-Ever Implementations:**
1. **Multi-Dimensional Volatility Tensor:** First indicator to implement true tensor analysis for market volatility
2. **Real-Time Hawkes Process:** First trading implementation of self-exciting point processes
3. **Transfer Entropy Trading Signals:** First practical application of information theory for trade generation
4. **Democratic Component Voting:** First algorithmic consensus system for signal generation
5. **Fractal-Projected Signal Quality:** First system to predict signal quality at future price levels
### Advanced Visualization Innovations
**Mathematical Visualization Breakthroughs:**
- **Tensor Field Radiation:** Visual representation of mathematical field energy
- **Dimensional Portal System:** Category theory visualization for regime transitions
- **Information Flow Streams:** Real-time visual display of market information transfer
- **Multi-Layer Fractal Grid:** Intelligent spacing and projection system
- **Regime Intensity Mapping:** Dynamic background showing mathematical regime strength
### Practical Trading Innovations
**Trading System Advances:**
- **Quality-Weighted Signal Generation:** Signals rated by mathematical confidence
- **Regime-Adaptive Strategy Selection:** Automatic strategy optimization based on market personality
- **Anti-Spam Signal Protection:** Mathematical prevention of signal clustering
- **Component Performance Tracking:** Real-time monitoring of algorithmic component success
- **Field-Strength Position Sizing:** Mathematical volatility integration for risk management
---
## ⚖️ RESPONSIBLE USAGE AND LIMITATIONS
### Mathematical Model Limitations
**Understanding Model Boundaries:**
While the TMAE implements sophisticated mathematical concepts, traders must understand fundamental limitations:
- **Markets Are Not Purely Mathematical:** Human psychology, news events, and fundamental factors create unpredictable elements
- **Past Performance Limitations:** Mathematical relationships that worked historically may not persist indefinitely
- **Model Risk:** Complex models can fail during unprecedented market conditions
- **Overfitting Potential:** Highly optimized parameters may not generalize to future market conditions
### Proper Implementation Guidelines
**Risk Management Requirements:**
- **Never Risk More Than 2% Per Trade:** Regardless of signal quality
- **Diversification Mandatory:** Don't rely solely on mathematical signals
- **Position Sizing Discipline:** Use mathematical field strength for sizing, not confidence
- **Stop Loss Non-Negotiable:** Every trade must have predefined risk parameters
**Realistic Expectations:**
- **Mathematical Edge, Not Certainty:** The indicator provides probabilistic advantages, not guaranteed outcomes
- **Learning Curve Required:** Complex mathematical concepts require time to master
- **Market Adaptation Necessary:** Parameters must evolve with changing market conditions
- **Continuous Education Important:** Understanding underlying mathematics improves application
### Ethical Trading Considerations
**Market Impact Awareness:**
- **Information Asymmetry:** Advanced mathematical analysis may provide advantages over other market participants
- **Position Size Responsibility:** Large positions based on mathematical signals can impact market structure
- **Sharing Knowledge:** Consider educational contributions to trading community
- **Fair Market Participation:** Use mathematical advantages responsibly within market framework
### Professional Development Path
**Skill Development Sequence:**
1. **Basic Mathematical Literacy:** Understand fundamental concepts before advanced application
2. **Risk Management Mastery:** Develop disciplined risk control before relying on complex signals
3. **Market Psychology Understanding:** Combine mathematical analysis with behavioral market insights
4. **Continuous Learning:** Stay updated on mathematical finance developments and market evolution
---
## 🔮 CONCLUSION
The Tensor Market Analysis Engine represents a quantum leap forward in technical analysis, successfully bridging the gap between advanced pure mathematics and practical trading applications. By integrating multi-dimensional volatility analysis, fractal market theory, and information flow dynamics, the TMAE reveals market structure invisible to conventional analysis while maintaining visual clarity and practical usability.
### Mathematical Innovation Legacy
This indicator establishes new paradigms in technical analysis:
- **Tensor analysis for market volatility understanding**
- **Stochastic self-excitation for event clustering prediction**
- **Information theory for causality-based trade generation**
- **Democratic algorithmic consensus for signal quality enhancement**
- **Mathematical field visualization for intuitive market understanding**
### Practical Trading Revolution
Beyond mathematical innovation, the TMAE transforms practical trading:
- **Quality-rated signals replace binary buy/sell decisions**
- **Regime-adaptive strategies automatically optimize for market personality**
- **Multi-dimensional risk management integrates mathematical volatility measures**
- **Visual mathematical concepts make complex analysis immediately interpretable**
- **Educational value creates lasting improvement in trading understanding**
### Future-Proof Design
The mathematical foundations ensure lasting relevance:
- **Universal mathematical principles transcend market evolution**
- **Multi-dimensional analysis adapts to new market structures**
- **Regime detection automatically adjusts to changing market personalities**
- **Component democracy allows for future algorithmic additions**
- **Mathematical visualization scales with increasing market complexity**
### Commitment to Excellence
The TMAE represents more than an indicator—it embodies a philosophy of bringing rigorous mathematical analysis to trading while maintaining practical utility and visual elegance. Every component, from the multi-dimensional tensor fields to the democratic signal generation, reflects a commitment to mathematical accuracy, trading practicality, and educational value.
### Trading with Mathematical Precision
In an era where markets grow increasingly complex and computational, the TMAE provides traders with mathematical tools previously available only to institutional quantitative research teams. Yet unlike academic mathematical models, the TMAE translates complex concepts into intuitive visual representations and practical trading signals.
By combining the mathematical rigor of tensor analysis, the statistical power of multi-dimensional volatility modeling, and the information-theoretic insights of transfer entropy, traders gain unprecedented insight into market structure and dynamics.
### Final Perspective
Markets, like nature, exhibit profound mathematical beauty beneath apparent chaos. The Tensor Market Analysis Engine serves as a mathematical lens that reveals this hidden order, transforming how traders perceive and interact with market structure.
Through mathematical precision, visual elegance, and practical utility, the TMAE empowers traders to see beyond the noise and trade with the confidence that comes from understanding the mathematical principles governing market behavior.
Trade with mathematical insight. Trade with the power of tensors. Trade with the TMAE.
*"In mathematics, you don't understand things. You just get used to them." - John von Neumann*
*With the TMAE, mathematical market understanding becomes not just possible, but intuitive.*
— Dskyz, Trade with insight. Trade with anticipation.
Breakout Confirmation🔍 Indicator Name: Breakout Confirmation (Body + Volume)
📌 Purpose:
This indicator is designed to detect high-probability breakout setups based on price structure and volume strength. It identifies moments when the market breaks through a key support or resistance level, confirmed by two consecutive strong candles with large real bodies and high volume.
⚙️ How It Works
1. Support and Resistance Detection
The indicator uses pivot points to identify potential horizontal support and resistance levels.
A pivot high or pivot low is considered valid if it stands out over a configurable number of candles (default: 50).
Only the most recent valid support and resistance levels are tracked and displayed as horizontal lines on the chart.
2. Breakout Setup
The breakout condition is defined as:
First Candle (Breakout Candle):
Large body (compared to the recent body average)
High volume (compared to the recent volume average)
Must close beyond a resistance or support level:
Close above resistance (bullish breakout)
Close below support (bearish breakout)
Second Candle (Confirmation Candle):
Also must have a large body and high volume
Must continue in the direction of the breakout (i.e., higher close in bullish breakouts, lower close in bearish ones)
3. Signal Plotting
If both candles meet the criteria, the indicator plots:
A green triangle below the candle for bullish breakouts
A red triangle above the candle for bearish breakouts
📈 How to Interpret the Signals
✅ Green triangle below a candle:
Indicates a confirmed bullish breakout.
The price has closed above a recent resistance level with strength.
The trend may continue higher — possible entry for long positions.
🔻 Red triangle above a candle:
Indicates a confirmed bearish breakout.
The price has closed below a recent support level with strength.
Potential signal to enter short or exit long positions.
⚠️ The plotted horizontal lines show the last key support and resistance levels. These are the zones being monitored for breakouts.
📊 How to Use It
Timeframe: Works best on higher timeframes (1H, 4H, Daily), but can be tested on any chart.
Entry: Consider entries after the second candle confirms the breakout.
Stop Loss:
For longs: Below the breakout candle or the broken resistance
For shorts: Above the breakout candle or broken support
Take Profit:
Based on previous structure, risk:reward ratios, or using trailing stops.
Filter with Trend or Other Indicators (optional):
You can combine this with moving averages, RSI, or market structure for confluence.
🛠️ Customization Parameters
lengthSR: How many candles to look back for identifying support/resistance pivots.
volLength: Length of the moving average for volume and body size comparison.
bodyMultiplier: Multiplier threshold to define a “large” body.
volMultiplier: Multiplier threshold to define “high” volume.
✅ Ideal For:
Price action traders
Breakout traders
Traders who use volume analysis
Anyone looking to automate the detection of breakout + confirmation setups
HMA Swing Levels [BigBeluga]An advanced swing structure and trend-following tool built on Hull Moving Average logic, designed to detect major reversals and track dynamic support/resistance zones.
This indicator analyzes price swings using pivot highs/lows and a smoothed HMA trend baseline. It highlights key reversal levels and keeps them active until breached, giving traders a clear visual framework for price structure and trend alignment. The pivots are calculated in real-time using non-lagging logic, making them highly responsive to market conditions.
🔵 CONCEPTS
Combines a fast-reacting Hull Moving Average (HMA) with pivot logic to capture precise directional changes.
Detects non-lagging reversal highs and lows when pivot points form and the HMA direction flips.
Projects these reversal levels forward as horizontal support/resistance lines until broken by price.
Active trend is shown with a step-style trail line that reflects HMA bias over time.
🔵 FEATURES
Swing Level Detection:
Identifies high/low reversals when trend direction changes and plots horizontal zones.
Non-lagging logic of swing points detection:
if h == high and high < h and change > 0
// Detected Swing High
if l == low and low > l and change < 0
// Detected Swing Low
Persistent Support & Resistance Lines:
Each detected swing high or low is extended forward until price invalidates the level. Dotted style is applied once breached.
Color-Coded Trend Trail:
Displays a stepped trend trail using HMA slope: lime = uptrend, blue = downtrend.
Automatic Labeling:
Each reversal level is labeled with its price for clear reference.
Age-Based Line Thickness:
Every level increases in thickness every 250 bars. The longer the level lasts, the stronger it is.
🔵 HOW TO USE
Use green (support) and blue (resistance) levels to frame key reaction zones.
Trade with the trend defined by the trail color: lime for bullish bias, blue for bearish.
Explore where buy or sell orders are stacked
Look for breaks of swing lines to anticipate trend shifts or breakout setups.
Adjust the "Trend Change" input to tune the sensitivity of swing detection.
Adjust the "SwingLevels" input to define how far back to search for valid pivots.
🔵 CONCLUSION
HMA Swing Levels offers a hybrid approach to structural and trend-based trading. With automated non-lagging swing detection, persistent support/resistance tracking, and intuitive HMA-based trend coloring, it provides a powerful visual system for discretionary and systematic traders alike.
Timeframe Resistance Evaluation And Detection - CoffeeKillerTREAD - Timeframe Resistance Evaluation And Detection Guide
🔔 Important Technical Limitation 🔔
**This indicator does NOT fetch true higher timeframe data.** Instead, it simulates higher timeframe levels by aggregating data from your current chart timeframe. This means:
- Results will vary depending on what chart timeframe you're viewing
- Levels may not match actual higher timeframe candle highs/lows
- You might miss important wicks or gaps that occurred between chart timeframe bars
- **Always verify levels against actual higher timeframe charts before trading**
Welcome traders! This guide will walk you through the TREAD (Timeframe Resistance Evaluation And Detection) indicator, a multi-timeframe analysis tool developed by CoffeeKiller that identifies support and resistance confluence across different time periods.(I am 50+ year old trader and always thought I was bad a teaching and explaining so you get a AI guide. I personally use this on the 5 minute chart with the default settings, but to each there own and if you can improve the trend detection methods please DM me. I would like to see the code. Thanks)
Core Components
1. Dual Timeframe Level Tracking
- Short Timeframe Levels: Tracks opening price extremes within shorter periods
- Long Timeframe Levels: Tracks actual high/low extremes within longer periods
- Dynamic Reset Mechanism: Levels reset at the start of each new timeframe period
- Momentum Detection: Identifies when levels change mid-period, indicating active price movement
2. Visual Zone System
- High Zones: Areas between long timeframe highs and short timeframe highs
- Low Zones: Areas between long timeframe lows and short timeframe lows
- Fill Coloring: Dynamic colors based on whether levels are static or actively changing
- Momentum Highlighting: Special colors when levels break during active periods
3. Customizable Display Options
- Multiple Plot Styles: Line, circles, or cross markers
- Flexible Timeframe Selection: Wide range of short and long timeframe combinations
- Color Customization: Separate colors for each level type and momentum state
- Toggle Controls: Show/hide different elements based on trading preference
Main Features
Timeframe Settings
- Short Timeframe Options: 15m, 30m, 1h, 2h, 4h
- Long Timeframe Options: 1h, 2h, 4h, 8h, 12h, 1D, 1W
- Recommended Combinations:
- Scalping: 15m/1h or 30m/2h
- Day Trading: 30m/4h or 1h/4h
- Swing Trading: 4h/1D or 1D/1W
Display Configuration
- Level Visibility: Toggle short/long timeframe levels independently
- Fill Zone Control: Enable/disable colored zones between levels
- Momentum Fills: Special highlighting for actively changing levels
- Line Customization: Width, style, and color options for all elements
Color System
- Short TF High: Default red for resistance levels
- Short TF Low: Default green for support levels
- Long TF High: Transparent red for broader resistance context
- Long TF Low: Transparent green for broader support context
- Momentum Colors: Brighter colors when levels are actively changing
Technical Implementation Details
How Level Tracking Works
The indicator uses a custom tracking function that:
1. Detects Timeframe Periods: Uses `time()` function to identify when new periods begin
2. Tracks Extremes: Monitors highest/lowest values within each period
3. Resets on New Periods: Clears tracking when timeframe periods change
4. Updates Mid-Period: Continues tracking if new extremes are reached
The Timeframe Limitation Explained
`pinescript
// What the indicator does:
short_tf_start = ta.change(time(short_timeframe)) != 0 // Detects 30m period start
= track_highest(open, short_tf_start) // BUT uses chart TF opens!
// What true multi-timeframe would be:
// short_tf_high = request.security(syminfo.tickerid, short_timeframe, high)
`
This means:
- On a 5m chart with 30m/4h settings: Tracks 5m bar opens during 30m and 4h windows
- On a 1m chart with same settings: Tracks 1m bar opens during 30m and 4h windows
- Results will be different between chart timeframes
- May miss important price action that occurred between your chart's bars
Visual Elements
1. Level Lines
- Short TF High: Upper resistance line from shorter timeframe analysis
- Short TF Low: Lower support line from shorter timeframe analysis
- Long TF High: Broader resistance context from longer timeframe
- Long TF Low: Broader support context from longer timeframe
2. Zone Fills
- High Zone: Area between long TF high and short TF high (potential resistance cluster)
- Low Zone: Area between long TF low and short TF low (potential support cluster)
- Regular Fill: Standard transparency when levels are static
- Momentum Fill: Enhanced visibility when levels are actively changing
3. Dynamic Coloring
- Static Periods: Normal colors when levels haven't changed recently
- Active Periods: Momentum colors when levels are being tested/broken
- Confluence Zones: Different intensities based on timeframe alignment
Trading Applications
1. Support/Resistance Trading
- Entry Points: Trade bounces from zone boundaries
- Confluence Areas: Focus on areas where short and long TF levels cluster
- Zone Breaks: Enter on confirmed breaks through entire zones
- Multiple Timeframe Confirmation: Stronger signals when both timeframes align
2. Range Trading
- Zone Boundaries: Use fill zones as range extremes
- Mean Reversion: Trade back toward opposite zone when price reaches extremes
- Breakout Preparation: Watch for momentum color changes indicating potential breakouts
- Risk Management: Place stops outside the opposite zone
3. Trend Following
- Direction Bias: Trade in direction of zone breaks
- Pullback Entries: Enter on pullbacks to broken zones (now support/resistance)
- Momentum Confirmation: Use momentum coloring to confirm trend strength
- Multiple Timeframe Alignment: Strongest trends when both timeframes agree
4. Scalping Applications
- Quick Bounces: Trade rapid moves between zone boundaries
- Momentum Signals: Enter when momentum colors appear
- Short-Term Targets: Use opposite zone as profit target
- Tight Stops: Place stops just outside current zone
Optimization Guide
1. Timeframe Selection
For Different Trading Styles:
- Scalping: 15m/1h - Quick levels, frequent updates
- Day Trading: 30m/4h - Balanced view, good for intraday moves
- Swing Trading: 4h/1D - Longer-term perspective, fewer false signals
- Position Trading: 1D/1W - Major structural levels
2. Chart Timeframe Considerations
**Important**: Your chart timeframe affects results
- Lower Chart TF: More granular level tracking, but may be noisy
- Higher Chart TF: Smoother levels, but may miss important price action
- Recommended: Use chart timeframe 2-4x smaller than short indicator timeframe
3. Display Settings
- Busy Charts: Disable fills, show only key levels
- Clean Analysis: Enable all fills and momentum coloring
- Multi-Monitor Setup: Use different color schemes for easy identification
- Mobile Trading: Increase line width for visibility
Best Practices
1. Level Verification
- Always Cross-Check: Verify levels against actual higher timeframe charts
- Multiple Timeframes: Check 2-3 different chart timeframes for consistency
- Price Action Confirmation: Wait for candlestick confirmation at levels
- Volume Analysis: Combine with volume for stronger confirmation
2. Risk Management
- Stop Placement: Use zones rather than exact prices for stops
- Position Sizing: Reduce size when zones are narrow (higher risk)
- Multiple Targets: Scale out at different zone boundaries
- False Break Protection: Allow for minor zone penetrations
3. Signal Quality Assessment
- Momentum Colors: Higher probability when momentum coloring appears
- Zone Width: Wider zones often provide stronger support/resistance
- Historical Testing: Backtest on your preferred timeframe combinations
- Market Conditions: Adjust sensitivity based on volatility
Advanced Features
1. Momentum Detection System
The indicator tracks when levels change mid-period:
`pinescript
short_high_changed = short_high != short_high and not short_tf_start
`
This identifies:
- Active level testing
- Potential breakout situations
- Increased market volatility
- Trend acceleration points
2. Dynamic Color System
Complex conditional logic determines fill colors:
- Static Zones: Regular transparency for stable levels
- Active Zones: Enhanced colors for changing levels
- Mixed States: Different combinations based on user preferences
- Custom Overrides: User can prioritize certain color schemes
3. Zone Interaction Analysis
- Convergence: When short and long TF levels approach each other
- Divergence: When timeframes show conflicting levels
- Alignment: When both timeframes agree on direction
- Transition: When one timeframe changes while other remains static
Common Issues and Solutions
1. Inconsistent Levels
Problem: Levels look different on various chart timeframes
Solution: Always verify against actual higher timeframe charts
2. Missing Price Action
Problem: Important wicks or gaps not reflected in levels
Solution: Use chart timeframe closer to indicator's short timeframe setting
3. Too Many Signals
Problem: Excessive level changes and momentum alerts
Solution: Increase timeframe settings or reduce chart timeframe granularity
4. Lagging Signals
Problem: Levels seem to update too slowly
Solution: Decrease chart timeframe or use more sensitive timeframe combinations
Recommended Setups
Conservative Approach
- Timeframes: 4h/1D
- Chart: 1h
- Display: Show fills only, no momentum coloring
- Use: Swing trading, position management
Aggressive Approach
- Timeframes: 15m/1h
- Chart: 5m
- Display: All features enabled, momentum highlighting
- Use: Scalping, quick reversal trades
Balanced Approach
- Timeframes: 30m/4h
- Chart: 15m
- Display: Selective fills, momentum on key levels
- Use: Day trading, multi-session analysis
Final Notes
**Remember**: This indicator provides a synthetic view of multi-timeframe levels, not true higher timeframe data. While useful for identifying potential confluence areas, always verify important levels by checking actual higher timeframe charts.
**Best Results When**:
- Combined with actual multi-timeframe analysis
- Used for confluence confirmation rather than primary signals
- Applied with proper risk management
- Verified against price action and volume
**DISCLAIMER**: This indicator and its signals are intended solely for educational and informational purposes. The timeframe limitation means results may not reflect true higher timeframe levels. Always conduct your own analysis and verify levels independently before making trading decisions. Trading involves significant risk of loss.
MACD Support and Resistance [ChartPrime]⯁ OVERVIEW
MACD Support and Resistance is a dynamic support/resistance mapping tool powered by MACD crossover logic. Each time the MACD line crosses the signal line, the indicator scans for recent price extremes and locks them in as potential support or resistance zones. These levels are automatically cleaned up if price breaks them, keeping the chart focused on active market structure. The system includes a built-in MACD display with visual markers, along with contextual highs and lows to help define the current environment.
⯁ MACD-BASED SUPPORT/RESISTANCE GENERATION
The core logic uses the MACD oscillator crossover as a trigger event to generate structural levels:
When MACD crosses above its signal line:
→ The script scans the last 5 bars for the lowest low .
→ A support level is plotted at that price.
When MACD crosses below its signal line:
→ The script scans the last 5 bars for the highest high .
→ A resistance level is plotted at that price.
These dynamic levels reflect where price recently reversed or paused, making them prime zones for reaction, continuation, or invalidation.
⯁ LEVEL MANAGEMENT AND VALIDATION
To keep the chart clean and relevant:
A maximum of 20 active levels are allowed at once.
Older levels are automatically removed if the list exceeds the limit.
If price closes below a support level or above a resistance level , the corresponding line is deleted.
This ensures that only currently respected levels remain on the chart — a major advantage for active traders.
⯁ MACD VISUALIZATION + SIGNAL MARKERS
A full MACD system is rendered on the lower panel for visual confirmation:
The MACD line and Signal line are both plotted and color-coded dynamically.
A filled area] highlights the spread between them to emphasize momentum strength.
A diamond marker is drawn each time MACD crosses its signal line, alerting traders to potential trend shifts.
These visuals make it easy to understand the timing of the support/resistance updates.
⯁ LOCAL EXTREME REFERENCE LINES
To help contextualize current price position relative to recent market extremes:
A Local High line is plotted based on the highest MACD value over the past 100 bars].
A Local Low line is plotted based on the lowest MACD value over the past 100 bars].
These levels are rendered lightly and serve as dynamic range boundaries.
They assist traders in identifying overextended or compressed MACD behavior.
⯁ USAGE
Use the generated S/R levels as breakout or reversal zones.
Watch for MACD diamond markers to confirm the timing of new levels.
Combine these reactive zones with other ChartPrime confluence tools for higher-confidence entries.
Use the Local High/Low zones as a volatility envelope to guide risk and trend continuation potential.
⯁ CONCLUSION
MACD Support and Resistance takes a classic momentum indicator and adds real-time structural awareness. By linking MACD crossover events to recent price extremes, it identifies the zones where market sentiment shifted — and continues to monitor their strength. Whether you're a breakout trader or looking to fade key reaction points, this tool delivers clean, actionable levels based on momentum and structure — not guesswork.
IU Pivot Zones + GMADESCRIPTION:
IU Pivot Zones + GMA is a smart price-action-based indicator that detects meaningful support and resistance zones formed through pivot highs/lows while combining them with dynamic zone generation and Geometric Moving Averages (GMA). This tool is built to help traders visualize institutional breakout/rejection zones with clear, logical mapping and live box management — helping you stay ahead of the move.
The indicator is designed for intraday, swing, and positional traders who want to enhance their trading decisions with visual confluence zones and market structure logic.
USER INPUTS
* Pivot point Lengths: Number of bars used to detect pivot highs/lows
* Zone length: Controls the thickness of the support/resistance zone; higher values create wider zones
* GMA Length: Period for calculating the geometric moving averages based on highs and lows
* Allow Bar/candle Color: Enables or disables special candle coloring when price interacts with the zones
LOGIC OF THE INDICATOR:
* Detects pivot highs and pivot lows using the user-defined length
* Compares consecutive pivot levels to determine if they fall within a valid ATR-based price band to form a zone
* If confirmed, the indicator dynamically plots a resistance or support box between those pivot points, colored respectively (red for resistance, green for support)
* The boxes update in real-time based on price action. If price respects the zone, the box extends forward. If price breaks the zone, the box disappears
* Geometric Moving Averages (GMA) based on logarithmic mean of highs and lows are plotted to offer a trend bias
* Candles that touch the top of the support zone are colored yellow, and those touching the bottom of the resistance zone are orange, enhancing zone reaction visibility
WHY IT IS UNIQUE:
* Uses logarithmic-based GMAs, which are smoother and less reactive than traditional moving averages
* ATR-based zone logic makes it adaptive to volatility instead of using fixed-width zones
* Combines structural levels (pivots), volatility filters (ATR), and trend overlays (GMA) in one unified tool
* Real-time zone extension and disappearance logic based on price interaction
HOW USER CAN BENEFIT FROM IT:
* Spot high-probability breakout or reversal zones that price respects consistently
* Use the GMA cloud for trend confirmation — for example, bullish bias when price is above both GMAs
* Build price action strategies around zone touches, breakouts, or rejections
* Use color-coded candles as real-time alerts for potential entry/exit signals near S/R levels
* Save time by avoiding manual marking of zones on charts across timeframes
DISCLAIMER:
This indicator is created for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. All trading involves risk, and users should conduct their own analysis or consult with a qualified financial advisor before making any trading decisions. The creator is not responsible for any losses incurred through the use of this tool. Use at your own discretion.
Institutional Volume Profile# Institutional Volume Profile (IVP) - Advanced Volume Analysis Indicator
## Overview
The Institutional Volume Profile (IVP) is a sophisticated technical analysis tool that combines traditional volume profile analysis with institutional volume detection algorithms. This indicator helps traders identify key price levels where significant institutional activity has occurred, providing insights into market structure and potential support/resistance zones.
## Key Features
### 🎯 Volume Profile Analysis
- **Point of Control (POC)**: Identifies the price level with the highest volume activity
- **Value Area**: Highlights the price range containing a specified percentage (default 70%) of total volume
- **Multi-Row Distribution**: Displays volume distribution across 10-50 price levels for detailed analysis
- **Customizable Period**: Analyze volume profiles over 10-500 bars
### 🏛️ Institutional Volume Detection
- **Pocket Pivot Volume (PPV)**: Detects bullish institutional buying when up-volume exceeds recent down-volume peaks
- **Pivot Negative Volume (PNV)**: Identifies bearish institutional selling when down-volume exceeds recent up-volume peaks
- **Accumulation Detection**: Spots potential accumulation phases with high volume and narrow price ranges
- **Distribution Analysis**: Identifies distribution patterns with high volume but minimal price movement
### 🎨 Visual Customization Options
- **Multiple Color Schemes**: Heat Map, Institutional, Monochrome, and Rainbow themes
- **Bar Styles**: Solid, Gradient, Outlined, and 3D Effect rendering
- **Volume Intensity Display**: Visual intensity based on volume magnitude
- **Flexible Positioning**: Left or right side profile placement
- **Current Price Highlighting**: Real-time price level indication
### 📊 Advanced Visual Features
- **Volume Labels**: Display volume amounts at key price levels
- **Gradient Effects**: Multi-step gradient rendering for enhanced visibility
- **3D Styling**: Shadow effects for professional appearance
- **Opacity Control**: Adjustable transparency (10-100%)
- **Border Customization**: Configurable border width and styling
## How It Works
### Volume Distribution Algorithm
The indicator analyzes each bar within the specified period and distributes its volume proportionally across the price levels it touches. This creates an accurate representation of where trading activity has been concentrated.
### Institutional Detection Logic
- **PPV Trigger**: Current up-bar volume > highest down-volume in lookback period + above volume MA
- **PNV Trigger**: Current down-bar volume > highest up-volume in lookback period + above volume MA
- **Accumulation**: High volume + narrow range + bullish close
- **Distribution**: Very high volume + minimal price movement
### Value Area Calculation
Starting from the POC, the algorithm expands both upward and downward, adding volume until reaching the specified percentage of total volume (default 70%).
## Configuration Parameters
### Profile Settings
- **Profile Period**: 10-500 bars (default: 50)
- **Number of Rows**: 10-50 levels (default: 24)
- **Profile Width**: 10-100% of screen (default: 30%)
- **Value Area %**: 50-90% (default: 70%)
### Institutional Analysis
- **PPV Lookback Days**: 5-20 periods (default: 10)
- **Volume MA Length**: 10-200 periods (default: 50)
- **Institutional Threshold**: 1.0-2.0x multiplier (default: 1.2)
### Visual Controls
- **Bar Style**: Solid, Gradient, Outlined, 3D Effect
- **Color Scheme**: Heat Map, Institutional, Monochrome, Rainbow
- **Profile Position**: Left or Right side
- **Opacity**: 10-100%
- **Show Labels**: Volume amount display toggle
## Interpretation Guide
### Volume Profile Elements
- **Thick Horizontal Bars**: High volume nodes (strong support/resistance)
- **Thin Horizontal Bars**: Low volume nodes (weak levels)
- **White Line (POC)**: Strongest support/resistance level
- **Blue Highlighted Area**: Value Area (fair value zone)
### Institutional Signals
- **Blue Triangles (PPV)**: Bullish institutional buying detected
- **Orange Triangles (PNV)**: Bearish institutional selling detected
- **Color-Coded Bars**: Different colors indicate institutional activity types
### Color Scheme Meanings
- **Heat Map**: Red (high volume) → Orange → Yellow → Gray (low volume)
- **Institutional**: Blue (PPV), Orange (PNV), Aqua (Accumulation), Yellow (Distribution)
- **Monochrome**: Grayscale intensity based on volume
- **Rainbow**: Color-coded by price level position
## Trading Applications
### Support and Resistance
- POC acts as dynamic support/resistance
- High volume nodes indicate strong price levels
- Low volume areas suggest potential breakout zones
### Institutional Activity
- PPV above Value Area: Strong bullish signal
- PNV below Value Area: Strong bearish signal
- Accumulation patterns: Potential upward breakouts
- Distribution patterns: Potential downward pressure
### Market Structure Analysis
- Value Area defines fair value range
- Profile shape indicates market sentiment
- Volume gaps suggest potential price targets
## Alert Conditions
- PPV Detection at current price level
- PNV Detection at current price level
- PPV above Value Area (strong bullish)
- PNV below Value Area (strong bearish)
## Best Practices
1. Use multiple timeframes for confirmation
2. Combine with price action analysis
3. Pay attention to volume context (above/below average)
4. Monitor institutional signals near key levels
5. Consider overall market conditions
## Technical Notes
- Maximum 500 boxes and 100 labels for optimal performance
- Real-time calculations update on each bar close
- Historical analysis uses complete bar data
- Compatible with all TradingView chart types and timeframes
---
*This indicator is designed for educational and informational purposes. Always combine with other analysis methods and risk management strategies.*
Dual Stochastic Enhanced (with Presets giua64)Script Title: Dual Stochastic Enhanced (with Presets giua64)
Overview:
This indicator enhances the traditional Dual Stochastic strategy, aiming to provide more filtered and potentially reliable trading signals. By integrating dynamic overbought/oversold levels via Bollinger Bands on the slow stochastic, a trend filter based on a moving average, momentum confirmation via RSI, and user-friendly selectable presets, "Dual Stochastic Enhanced" seeks to offer a more robust approach to identifying potential entry points.
Key Features:
Dual Stochastics: Utilizes a slow stochastic (configurable, e.g., 14 periods) as a context filter and a fast stochastic (configurable, e.g., 5 periods) as a signal trigger.
Bollinger Bands on Slow Stochastic: Instead of fixed overbought/oversold levels (80/20), Bollinger Bands are applied to the %K line of the slow stochastic. This creates dynamic zones that adapt to the stochastic's own volatility.
Trend Filter: A moving average (configurable type and length, e.g., EMA 100 as seen in the example chart for general context) on the price helps filter signals, allowing only trades aligned with the prevailing trend.
RSI Confirmation: An RSI oscillator (configurable length, e.g., 14 periods) is used to confirm momentum. Signals require the RSI to cross certain thresholds to validate the strength of the move.
User Presets: Includes presets for "Scalping," "Intraday," and "Swing trading," which quickly set all key parameters to suit different styles and timeframes. A "Custom" option is also available for full manual configuration.
Clear Visual Signals: Long (green) and Short (red) arrows appear on the chart when all entry conditions are met.
Active Zone Highlighting: The background of the indicator panel changes color (green or red) when "active zone" conditions (a combination of stochastics, trend, and RSI) are favorable.
Information Panel: A table in the top-right corner of the indicator panel displays the current status of the selected preset, trend filter, RSI value, and stochastic levels.
Signal Logic:
A LONG signal is generated when:
The fast stochastic %K crosses above its %D line.
The slow stochastic %K line is below its lower Bollinger Band (dynamic oversold condition).
The fast stochastic %K line is also in a low area (e.g., <25) to confirm the trigger is not premature.
The closing price is above the trend moving average (uptrend).
The RSI is above its long confirmation level (e.g., >40), indicating sufficient bullish momentum.
A SHORT signal is generated when:
The fast stochastic %K crosses below its %D line.
The slow stochastic %K line is above its upper Bollinger Band (dynamic overbought condition).
The fast stochastic %K line is also in a high area (e.g., >75).
The closing price is below the trend moving average (downtrend).
The RSI is below its short confirmation level (e.g., <60), indicating sufficient bearish momentum.
How to Use:
Select a Preset suitable for your trading style and the timeframe you are analyzing (e.g., Scalping for M1-M15, Intraday for M5-H1, Swing for H4-D1).
Alternatively, choose "Custom" and manually adjust all parameters (stochastic lengths, smoothing, Bollinger Bands, Moving Average, RSI, confirmation thresholds).
Observe the Information Panel for a quick understanding of the current conditions.
Evaluate the arrow signals, always considering the broader market context, price action, and any other confluences (supports/resistances, chart patterns).
The background highlighting can help quickly identify periods where conditions are aligned for potential trades.
Disclaimer:
This script is provided for educational and informational purposes only. Trading involves significant risk, and past performance is not indicative of future results. Always thoroughly test any strategy or indicator on historical data and on a demo account before risking real capital. The author assumes no responsibility for any losses incurred from the use of this script.
Author: giua64
Gamma + Fibonacci EMA Bands# Gamma + Fibonacci EMA Bands
## Overview
The Gamma + Fibonacci EMA Bands indicator combines two powerful analytical approaches: Gamma-weighted Exponential Moving Averages and Fibonacci sequence-based standard EMAs. This dual system creates a comprehensive "band" structure that helps identify trend direction, strength, and potential reversal zones with greater precision than single moving average systems.
## Features
- **Gamma-weighted EMAs**: Three customizable Gamma EMAs (fast-responding) with adjustable gamma parameters
- **Fibonacci Sequence EMAs**: Six standard EMAs based on the Fibonacci sequence (34, 55, 89, 144, 233, 377)
- **Visual Band Structure**: Color-coded for instant visual analysis
- **Trend Confirmation**: Multiple timeframe validation through varied moving average periods
- **Support/Resistance Identification**: Natural price reaction zones highlighted by EMA confluences
## How It Works
The indicator uses two complementary EMA systems:
1. **Gamma EMAs** (γ-EMAs) - These responsive moving averages use a direct gamma weighting factor (between 0-1) rather than a period length. Lower gamma values create smoother lines, while higher values create more responsive ones. These react quickly to price changes and serve as short-term trend indicators.
2. **Fibonacci EMAs** - These traditional EMAs use period lengths based on the Fibonacci sequence (34, 55, 89, 144, 233, 377). They provide longer-term trend context and naturally identify key support/resistance levels that align with market psychology.
## Interpretation
### Trend Direction
- When price is above all bands: Strong bullish trend
- When price is below all bands: Strong bearish trend
- When price is between bands: Consolidation or trend transition
### Support/Resistance
- Gamma EMAs (purple shades): Short-term dynamic support/resistance
- Fibonacci EMAs (orange/red shades): Stronger, longer-term support/resistance
### Trend Strength
- Wider band separation: Stronger trend momentum
- Compressed bands: Consolidation or trend weakness
### Reversal Signals
- Price breaking through multiple bands: Potential trend reversal
- Gamma EMAs crossing Fibonacci EMAs: Changing momentum
## Settings
- **Source**: Price data source (default: close)
- **Gamma 1**: Fast γ-EMA value (default: 0.2)
- **Gamma 2**: Medium γ-EMA value (default: 0.5)
- **Gamma 3**: Slow γ-EMA value (default: 0.8)
## Notes
This indicator works best on higher timeframes (1H+) and liquid markets. The Gamma-weighted EMAs provide faster signals while the Fibonacci sequence EMAs provide reliable support/resistance levels that often align with key market turning points.
For optimal use, watch for price interaction with these bands and how the bands interact with each other to confirm trend changes before they become obvious to the majority of market participants.
Volume Cluster Support & ResistanceVolume Cluster Support & Resistance
This indicator identifies potential Support and Resistance (S/R) levels on the chart using Volume-Based Point of Control (POC) Clustering. It offers extensive customization for calculation parameters, display styles, and visualization options, including S/R zones, color gradients, and historical reaction markers.
How It Works
Volume Based S/R:
Scans the specified Clustering Lookback period for "High Volume Bars", defined as bars where volume exceeds the average volume (over Volume Lookback Period) multiplied by the High Volume Threshold Multiplier.
Calculates the Point of Control (POC) for each high-volume bar using hl2.
Clusters these high-volume bar POCs: POCs within a proximity defined by Cluster Proximity (ATR) (Average True Range multiplier) are grouped together.
Filters these clusters, requiring a Min Bars in Cluster to form a valid S/R zone.
(Image showing the indicator being used on the Bitcoin 5min chart)
The center price of valid clusters determines the S/R level. Clusters above the current price become potential Resistance, and those below become potential Support.
Calculates the offset based on the most recent bar included in the cluster.
Level Selection & Display:
The indicator identifies multiple potential S/R levels.
It then selects and displays the top Number of S/R Levels to Display support levels below the current price and resistance levels above the current price.
(Image showing the indicator on the GBP/USD 5min chart)
ATR Usage:
The Average True Range (ta.atr(14)) is used in two key areas:
Determining the proximity threshold for grouping POCs in the 'Volume Based' clustering (clusterProximityAtr).
Calculating the width of the S/R zones when 'Use Zone Visualization' is enabled (zoneAtrMultiplier).
Key Features & Components
Dual Calculation Methods: Choose between Pivot-based S/R or Volume-based POC clustering.
Volume Confirmation: Pivots require volume confirmation; Volume method directly analyzes high-volume bars.
POC Clustering: Groups high-volume areas to identify significant price zones.
Configurable Lookbacks: Adjust periods for volume averaging, pivot detection, and clustering analysis.
Dynamic S/R Display: Shows a configurable number of the most relevant S/R levels relative to the current price.
Optional Zone Visualization: Display levels as filled zones with configurable width (ATR-based), fill transparency, and border transparency. Includes a dashed center line.
Optional Historical Reactions: Mark past price interactions (lows bouncing off support zones, highs rejecting from resistance zones) directly on the chart (Warning: Can significantly impact performance).
Customizable Styling: Control line style (Solid, Dashed, Dotted), width, color (separate for Support & Resistance), and horizontal extension (None, Left, Right, Both).
Price Labels: Toggle visibility of price labels next to each S/R level/zone.
Visual Elements Explained
S/R Lines/Zones: Plotted lines or filled zones representing calculated support and resistance levels. Color-coded for Support (default green) and Resistance (default magenta).
Line/Zone Borders: Appearance controlled by Style settings (Style, Width, Extension). Can have a gradient color effect based on age if enabled.
Zone Fills: Semi-transparent fills for zones (if enabled), with configurable transparency. Fill color matches the border color (including gradient effect if enabled).
Zone Center Line: A thin, dashed line indicating the exact calculated S/R price within a zone.
Price Labels: Text labels showing the exact price of the S/R level.
Historical Reactions: Small dot markers appearing on historical bars where price potentially reacted to a displayed zone (only if Show Historical Reactions is enabled).
Configuration Options
Users can adjust the following parameters in the indicator settings:
Calculation Method: Select "Pivot Based" or "Volume Based".
Volume Zone Settings (Volume Based): Threshold multiplier, clustering lookback, cluster proximity (ATR), minimum bars per cluster.
Display Options: Toggle S/R visibility, price tags, set the number of levels to show.
Volume Settings: Volume lookback period, volume multiplier (for Pivot confirmation).
Style Settings: Line style, width, extension, support/resistance text and line colors, enable gradient coloring, set gradient start/end colors.
Zone Visualization: Enable/disable zones, set zone width (ATR multiplier), fill and border transparency, enable/disable historical reaction markers (performance warning).
Interpretation Notes
This indicator identifies potential areas of support and resistance based on historical price action and volume analysis. These levels are not guaranteed reversal points.
The 'Volume Based' method focuses on areas where significant trading activity occurred, while the 'Pivot Based' method focuses on price turning points confirmed by volume.
Use the displayed levels in conjunction with other technical analysis tools, price action patterns, and risk management strategies.
Be mindful of the performance impact when enabling Show Historical Reactions, especially on longer timeframes or with large lookback periods. The default setting is false for optimal performance.
The max_bars_back setting is optimized for performance; increasing it significantly may slow down chart loading.
Risk Disclaimer
Trading involves significant risk. This indicator is provided for analytical and educational purposes only and does not constitute financial advice or a trading recommendation. Past performance is not indicative of future results. Always use sound risk management practices and never trade with capital you cannot afford to lose.
MTF Stochastic RSIOverview: MTF Stochastic RSI
is a momentum-tracking tool that plots the Stochastic RSI oscillator for up to four user-
defined timeframes on a single panel. It provides a compact yet powerful view of how
momentum is aligning or diverging across different timeframes, making it suitable for both
scalpers and swing traders looking for multi-timeframe confirmation.
What it does:
Calculates Stochastic RSI values using the RSI of price as the base input and applies
smoothing for stability.
Aggregates and displays the values for four customizable TF (e.g., 5min, 15min, 1h, 4h).
Highlights potential support and resistance zones in the oscillator space using adaptive zone
logic.
Optionally draws dynamic support/resistance zone lines in the oscillator space based on
historical turning points.
How it works:
Each timeframe uses the same RSI and Stoch calculation settings but runs independently via
the request.security() function.
Stochastic RSI is calculated by first applying the RSI to price, then applying a stochastic
formula on the RSI values, and finally smoothing the %K output.
Adaptive overbought and oversold thresholds adjust based on ATR-based volatility and simple
trend filtering (e.g., price vs EMA).
When a crossover above the oversold zone or a crossunder below the overbought zone
occurs, the script checks for proximity to previously stored zones and either adjusts or
records a new one.
These zones are stored and re-plotted as dotted support/resistance levels within the
oscillator space.
What it’s based on:
The indicator builds upon traditional Stochastic RSI by applying it to multiple timeframes in
parallel.
Zone detection logic is inspired by the idea of oscillator-based support/resistance levels.
Volatility-adjusted thresholds are based on ATR (Average True Range) to make the
overbought/oversold zones responsive to market conditions.
How to use it:
Look for alignment across timeframes (e.g., all four curves pushing into the overbought
region suggests strong trend continuation).
Reversal risk increases when one or more higher timeframes are diverging or showing signs of
cooling while lower timeframes are still extended.
Use the zone lines as soft support/resistance references within the oscillator—retests of
these zones can indicate strong reversal opportunities or continuation confirmation.
This script is provided for educational and informational purposes only. It does not constitute financial advice, trading recommendations, or an offer to buy or sell any financial instrument. Always perform your own due diligence, use proper risk management, and consult a qualified financial professional before making any trading decisions. Past performance does not guarantee future results. Use this tool at your own discretion and risk.
NasyI## NasyI - Multi-Timeframe Technical Analysis Toolkit
### English Description
**NasyI** is a comprehensive technical analysis indicator designed to provide traders with a complete view of market dynamics across multiple timeframes. This indicator combines the power of Exponential Moving Averages (EMAs), Simple Moving Averages (MAs), Volume Weighted Average Price (VWAP), and key support/resistance levels to help traders identify trend direction, potential reversal points, and optimal entry/exit opportunities.
#### Key Features
1. **Multi-Timeframe Analysis System**
- 2-minute EMAs (13, 48) for ultra-short-term trend identification
- 5-minute EMAs (9, 13, 21, 48, 200) for short-term trend confirmation
- Daily EMAs (5, 13, 21, 48, 100, 200) and MAs (20, 50, 100, 200) for longer-term perspective
- Color-coded bands between key EMAs to visually identify trend strength and direction
2. **Advanced VWAP Integration**
- Daily VWAP for intraday support/resistance
- Weekly VWAP for medium-term price reference
- Monthly VWAP for long-term institutional price levels
- All VWAPs properly reset at their respective time period boundaries
3. **Critical Price Level Identification**
- Previous day high/low lines for identifying key breakout and breakdown levels
- Pre-market high/low tracking to identify potential intraday support/resistance zones
- All levels displayed with distinct line styles for easy identification
4. **Dynamic Trend Analysis**
- Color-coded bands between EMAs display trend strength and direction:
- Green bands indicate uptrend conditions (9 EMA > 21 EMA > 48 EMA)
- Red bands indicate downtrend conditions (9 EMA < 21 EMA < 48 EMA)
- Yellow bands indicate neutral/confused market conditions
- Visual representation makes trend changes immediately apparent
5. **Comprehensive Customization Options**
- Fully customizable colors for all indicators and bands
- Adjustable transparency settings for visual clarity
- Optional price labels with customizable placement and appearance
- Ability to show/hide specific components based on trading preferences
#### Trading Applications
This indicator is particularly valuable for:
1. **Day Trading & Scalping**: The 2-minute and 5-minute EMAs with color bands provide clear short-term trend direction and potential reversal signals.
2. **Swing Trading**: Daily EMAs and MAs offer perspective on the larger trend, helping to align short-term trades with the broader market direction.
3. **Gap Trading**: Previous day and pre-market levels help identify potential gap fill scenarios and breakout/breakdown opportunities.
4. **VWAP Trading Strategies**: Multiple timeframe VWAPs allow for identifying institutional participation levels and potential reversal zones.
5. **EMA Cross Systems**: The various EMAs can be used to identify golden crosses and death crosses across multiple timeframes.
#### How the Components Work Together
The power of NasyI comes from the integration of these different technical elements:
1. The short-timeframe EMAs (2m, 5m) provide immediate trend information, while the daily EMAs/MAs provide context about the larger market structure.
2. The color bands between EMAs offer instant visual confirmation of trend alignment or divergence across timeframes.
3. Previous day and pre-market levels add horizontal support/resistance zones to complement the dynamic moving averages.
4. Multiple timeframe VWAPs provide additional confirmation of institutional activity levels and potential reversal points.
By combining these elements, traders can develop a comprehensive market view that integrates price action, trend direction, and key support/resistance levels all in one indicator.
#### Usage Instructions
1. Apply the NasyI indicator to your chart (works best on intraday timeframes from 1-minute to 30-minute).
2. Observe the relationship between price and the various EMAs:
- Price above the 2m/5m EMAs with green bands indicates bullish short-term conditions
- Price below the 2m/5m EMAs with red bands indicates bearish short-term conditions
3. Use the daily EMAs/MAs and VWAPs as targets for potential price movements and reversal zones.
4. Previous day and pre-market high/low lines provide key levels to watch for breakouts or breakdowns.
5. Customize the appearance according to your preferences using the extensive settings options.
This indicator represents a unique approach to technical analysis by combining multiple timeframe perspectives into a single, visually intuitive display that helps traders make more informed decisions based on a comprehensive view of market conditions.
### 中文描述
**NasyI** 是一个全面的技术分析指标，旨在为交易者提供跨多个时间周期的完整市场动态视图。该指标结合了指数移动平均线（EMA）、简单移动平均线（MA）、成交量加权平均价格（VWAP）和关键支撑/阻力水平的力量，帮助交易者识别趋势方向、潜在反转点和最佳进出场机会。
#### 主要特点
1. **多时间周期分析系统**
- 2分钟EMAs（13，48）用于超短期趋势识别
- 5分钟EMAs（9，13，21，48，200）用于短期趋势确认
- 日线EMAs（5，13，21，48，100，200）和MAs（20，50，100，200）用于更长期的视角
- 关键EMAs之间的彩色带状区域直观显示趋势强度和方向
2. **高级VWAP整合**
- 日内VWAP作为日内支撑/阻力
- 周内VWAP作为中期价格参考
- 月内VWAP作为长期机构价格水平
- 所有VWAP在各自的时间周期边界正确重置
3. **关键价格水平识别**
- 前一交易日高点/低点线用于识别关键突破和跌破水平
- 盘前高点/低点跟踪用于识别潜在的日内支撑/阻力区域
- 所有水平以不同的线条样式显示，便于识别
4. **动态趋势分析**
- EMAs之间的彩色带状区域显示趋势强度和方向：
- 绿色带状区域表示上升趋势（9 EMA > 21 EMA > 48 EMA）
- 红色带状区域表示下降趋势（9 EMA < 21 EMA < 48 EMA）
- 黄色带状区域表示中性/混乱市场条件
- 视觉表示使趋势变化立即显现
5. **全面的自定义选项**
- 所有指标和带状区域的颜色完全可定制
- 可调节的透明度设置，提高视觉清晰度
- 可选的价格标签，带有可定制的位置和外观
- 能够根据交易偏好显示/隐藏特定组件
#### 交易应用
此指标对以下方面特别有价值：
1. **日内交易和短线交易**：2分钟和5分钟EMAs与色带提供清晰的短期趋势方向和潜在反转信号。
2. **摇摆交易**：日线EMAs和MAs提供对更大趋势的视角，帮助将短期交易与更广泛的市场方向对齐。
3. **缺口交易**：前一日和盘前水平帮助识别潜在的缺口填充情况和突破/跌破机会。
4. **VWAP交易策略**：多时间周期VWAP允许识别机构参与水平和潜在反转区域。
5. **EMA交叉系统**：各种EMAs可用于识别跨多个时间周期的黄金交叉和死亡交叉。
#### 组件如何协同工作
NasyI的强大之处在于这些不同技术元素的集成：
1. 短时间周期EMAs（2m，5m）提供即时趋势信息，而日线EMAs/MAs提供关于更大市场结构的背景。
2. EMAs之间的色带提供趋势对齐或跨时间周期分歧的即时视觉确认。
3. 前一日和盘前水平添加水平支撑/阻力区域，补充动态移动平均线。
4. 多时间周期VWAP提供机构活动水平和潜在反转点的额外确认。
通过结合这些元素，交易者可以发展出全面的市场视图，整合价格行动、趋势方向和关键支撑/阻力水平于一个指标中。
#### 使用说明
1. 将NasyI指标应用到您的图表上（最适合1分钟至30分钟的日内时间周期）。
2. 观察价格与各种EMAs之间的关系：
- 价格位于2m/5m EMAs之上，带有绿色带状区域，表示看涨的短期条件
- 价格位于2m/5m EMAs之下，带有红色带状区域，表示看跌的短期条件
3. 使用日线EMAs/MAs和VWAPs作为潜在价格移动和反转区域的目标。
4. 前一日和盘前高点/低点线提供需要关注的突破或跌破的关键水平。
5. 使用广泛的设置选项根据您的偏好自定义外观。
这个指标代表了一种独特的技术分析方法，将多个时间周期的视角结合到一个单一的、视觉直观的显示中，帮助交易者基于对市场条件的全面视图做出更明智的决策。
GQT GPT - Volume-based Support & Resistance Zones V2搞钱兔，搞钱是为了更好的生活。
Title: GQT GPT - Volume-based Support & Resistance Zones V2
Overview:
This strategy is implemented in PineScript v5 and is designed to identify key support and resistance zones based on volume-driven fractal analysis on a 1-hour timeframe. It computes fractal high points (for resistance) and fractal low points (for support) using volume moving averages and specific price action criteria. These zones are visually represented on the chart with customizable lines and zone fills.
Trading Logic:
• Entry: The strategy initiates a long position when the price crosses into the support zone (i.e., when the price drops into a predetermined support area).
• Exit: The long position is closed when the price enters the resistance zone (i.e., when the price rises into a predetermined resistance area).
• Time Frame: Trading signals are generated solely from the 1-hour chart. The strategy is only active within a specified start and end date.
• Note: Only long trades are executed; short selling is not part of the strategy.
Visualization and Parameters:
• Support/Resistance Zones: The zones are drawn based on calculated fractal values, with options to extend the lines to the right for easier tracking.
• Customization: Users can configure the appearance, such as line style (solid, dotted, dashed), line width, colors, and label positions.
• Volume Filtering: A volume moving average threshold is used to confirm the fractal signals, enhancing the reliability of the support and resistance levels.
• Alerts: The strategy includes alert conditions for when the price enters the support or resistance zones, allowing for timely notifications.
⸻
搞钱兔，搞钱是为了更好的生活。
标题： GQT GPT - 基于成交量的支撑与阻力区间 V2
概述：
本策略使用 PineScript v5 实现，旨在基于成交量驱动的分形分析，在1小时级别的图表上识别关键支撑与阻力区间。策略通过成交量移动平均线和特定的价格行为标准计算分形高点（阻力）和分形低点（支撑），并以自定义的线条和区间填充形式直观地显示在图表上。
交易逻辑：
• 进场条件： 当价格进入支撑区间（即价格跌入预设支撑区域）时，策略在没有持仓的情况下发出做多信号。
• 离场条件： 当价格进入阻力区间（即价格上升至预设阻力区域）时，持有多头头寸则会被平仓。
• 时间范围： 策略的信号仅基于1小时级别的图表，并且仅在指定的开始日期与结束日期之间生效。
• 备注： 本策略仅执行多头交易，不进行空头操作。
可视化与参数设置：
• 支撑/阻力区间： 根据计算得出的分形值绘制支撑与阻力线，可选择将线条延伸至右侧，便于后续观察。
• 自定义选项： 用户可以调整线条样式（实线、点线、虚线）、线宽、颜色及标签位置，以满足个性化需求。
• 成交量过滤： 策略使用成交量移动平均阈值来确认分形信号，提高支撑和阻力区间的有效性。
• 警报功能： 当价格进入支撑或阻力区间时，策略会触发警报条件，方便用户及时关注市场变化。
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Money Flow Oscillator [BullByte]
Overview :
The Money Flow Oscillator is a versatile technical analysis tool designed to provide traders with insights into market momentum through the Money Flow Index (MFI). By integrating trend logic, dynamic support/resistance levels, multi-timeframe analysis, and additional indicators like ADX and Choppiness, this script delivers a detailed view of market conditions and signal strength—all while adhering to TradingView’s publication guidelines.
Key Features :
Money Flow Analysis :
Uses the MFI to assess buying and selling pressure, helping traders gauge market momentum.
Trend Switch Logic :
Employs ATR-based calculations to determine trend direction. The background color adjusts dynamically to signal bullish or bearish conditions, and a prominent center line changes color to reflect the prevailing trend.
Dynamic Support/Resistance :
Calculates oscillator support and resistance over a pivot lookback period. These levels help you identify potential breakouts or reversals as the MFI moves above or below prior levels.
Signal Metrics & Classifications :
Combines MFI values with additional metrics to classify signals into categories such as “Strong Bullish,” “Bullish,” “Bearish,” or “Strong Bearish.” An accompanying note provides details on momentum entry and overall signal strength.
Multi-Timeframe Order Flow Confirmatio n:
Analyzes the MFI on a higher timeframe to confirm order flow. This extra layer of analysis helps verify the short-term signals generated on your primary chart.
Volume and ADX Integration :
Incorporates volume analysis and a manual ADX calculation to further validate signal strength and trend stability. A dashboard displays these metrics for quick reference.
Choppiness Indicator :
Includes a choppiness index to determine if the market is trending or choppy. When the market is identified as choppy, the script advises caution by adjusting the overall signal note.
Comprehensive Dashboard :
A built-in dashboard presents key metrics—including ADX, MFI, order flow, volume score, and support/resistance details—allowing you to quickly assess market conditions at a glance.
How to Use :
Trend Identification : Monitor the dynamic background and center line colors to recognize bullish or bearish market conditions.
Signal Confirmation : Use the oscillator support/resistance levels along with the signal classifications and dashboard data to make informed entry or exit decisions.
Multi-Timeframe Analysis : Validate short-term signals with the higher timeframe MFI order flow confirmation.
Risk Management : Always combine these insights with your own risk management strategy and further analysis.
Disclaimer :
This indicator is provided for educational and informational purposes only. It does not constitute financial advice. Always perform your own analysis and use proper risk management before making any trading decisions. Past performance is not indicative of future results.
