Color Change EMA 200 (4H)200 Color Change EMA (4H Locked)
Overview
This indicator displays a 200-period Exponential Moving Average (EMA) that is locked to the 4-hour timeframe, regardless of what chart timeframe you're currently viewing. The EMA line changes color dynamically based on price action to provide clear visual trend signals.
Key Features
• Multi-Timeframe Capability : Always shows the 4H 200 EMA on any chart timeframe
• Dynamic Color Coding :
- Green: Price is above the 200 EMA (bullish condition)
- Red: Price is below the 200 EMA (bearish condition)
• Clean Visual Design : Bold 2-pixel line width for clear visibility
• Real-time Updates : Colors change instantly as price crosses above or below the EMA
How to Use
1. Add the indicator to any timeframe chart
2. The 4H 200 EMA will appear as a smooth line
3. Watch for color changes:
- When the line turns green, it indicates price strength above the key moving average
- When the line turns red, it suggests price weakness below the moving average
4. Use for trend identification, support/resistance levels, and entry/exit timing
Best Practices
• Combine with other technical analysis tools for confirmation
• Use the color changes as alerts for potential trend shifts
• Consider the 200 EMA as a major support/resistance level
• Works well for swing trading and position sizing decisions
Settings
• Length : Default 200 periods (customizable)
• Source : Default closing price (customizable)
Perfect for traders who want to keep the important 4H 200 EMA visible across all timeframes with instant visual trend feedback.
Search in scripts for "support resistance"
Levels Of Interest------------------------------------------------------------------------------------
LEVELS OF INTEREST (LOI)
TRADING INDICATOR GUIDE
------------------------------------------------------------------------------------
Table of Contents:
1. Indicator Overview & Core Functionality
2. VWAP Foundation & Historical Context
3. Multi-Timeframe VWAP Analysis
4. Moving Average Integration System
5. Trend Direction Signal Detection
6. Visual Design & Display Features
7. Custom Level Integration
8. Repaint Protection Technology
9. Practical Trading Applications
10. Setup & Configuration Recommendations
------------------------------------------------------------------------------------
1. INDICATOR OVERVIEW & CORE FUNCTIONALITY
------------------------------------------------------------------------------------
The LOI indicator combines multiple VWAP calculations with moving averages across different timeframes. It's designed to show where institutional money is flowing and help identify key support and resistance levels that actually matter in today's markets.
Primary Functions:
- Multi-timeframe VWAP analysis (Daily, Weekly, Monthly, Yearly)
- Advanced moving average integration (EMA, SMA, HMA)
- Real-time trend direction detection
- Institutional flow analysis
- Dynamic support/resistance identification
Target Users: Day traders, swing traders, position traders, and institutional analysts seeking comprehensive market structure analysis.
------------------------------------------------------------------------------------
2. VWAP FOUNDATION & HISTORICAL CONTEXT
------------------------------------------------------------------------------------
Historical Development: VWAP started in the 1980s when big institutional traders needed a way to measure if they were getting good fills on their massive orders. Unlike regular price averages, VWAP weighs each price by the volume traded at that level. This makes it incredibly useful because it shows you where most of the real money changed hands.
Mathematical Foundation: The basic math is simple: you take each price, multiply it by the volume at that price, add them all up, then divide by total volume. What you get is the true "average" price that reflects actual trading activity, not just random price movements.
Formula: VWAP = Σ(Price × Volume) / Σ(Volume)
Where typical price = (High + Low + Close) / 3
Institutional Behavior Patterns:
- When price trades above VWAP, institutions often look to sell
- When it's below, they're usually buying
- Creates natural support and resistance that you can actually trade against
- Serves as benchmark for execution quality assessment
------------------------------------------------------------------------------------
3. MULTI-TIMEFRAME VWAP ANALYSIS
------------------------------------------------------------------------------------
Core Innovation: Here's where LOI gets interesting. Instead of just showing daily VWAP like most indicators, it displays four different timeframes simultaneously:
**Daily VWAP Implementation**:
- Resets every morning at market open
- Provides clearest picture of intraday institutional sentiment
- Primary tool for day trading strategies
- Most responsive to immediate market conditions
**Weekly VWAP System**:
- Resets each Monday (or first trading day)
- Smooths out daily noise and volatility
- Perfect for swing trades lasting several days to weeks
- Captures weekly institutional positioning
**Monthly VWAP Analysis**:
- Resets at beginning of each calendar month
- Captures bigger institutional rebalancing at month-end
- Fund managers often operate on monthly mandates
- Significant weight in intermediate-term analysis
**Yearly VWAP Perspective**:
- Resets annually for full-year institutional view
- Shows long-term institutional positioning
- Where pension funds and sovereign wealth funds operate
- Critical for major trend identification
Confluence Zone Theory: The magic happens when multiple VWAP levels cluster together. These confluence zones often become major turning points because different types of institutional money all see value at the same price.
------------------------------------------------------------------------------------
4. MOVING AVERAGE INTEGRATION SYSTEM
------------------------------------------------------------------------------------
Multi-Type Implementation: The indicator includes three types of moving averages, each with its own personality and application:
**Exponential Moving Averages (EMAs)**:
- React quickly to recent price changes
- Displayed as solid lines for easy identification
- Optimal performance in trending market conditions
- Higher sensitivity to current price action
**Simple Moving Averages (SMAs)**:
- Treat all historical data points equally
- Appear as dashed lines in visual display
- Slower response but more reliable in choppy conditions
- Traditional approach favored by institutional traders
**Hull Moving Averages (HMAs)**:
- Newest addition to the system (dotted line display)
- Created by Alan Hull in 2005
- Solves classic moving average dilemma: speed vs. accuracy
- Manages to be both responsive and smooth simultaneously
Technical Innovation: Alan Hull's solution addresses the fundamental problem where moving averages are either too slow (missing moves) or too fast (generating false signals). HMAs achieve optimal balance through weighted calculation methodology.
Period Configuration:
- 5-period: Short-term momentum assessment
- 50-period: Intermediate trend identification
- 200-period: Long-term directional confirmation
------------------------------------------------------------------------------------
5. TREND DIRECTION SIGNAL DETECTION
------------------------------------------------------------------------------------
Real-Time Momentum Analysis: One of LOI's best features is its real-time trend detection system. Next to each moving average, visual symbols provide immediate trend assessment:
Symbol System:
- ▲ Rising average (bullish momentum confirmation)
- ▼ Falling average (bearish momentum indication)
- ► Flat average (consolidation or indecision period)
Update Frequency: These signals update in real-time with each new price tick and function across all configured timeframes. Traders can quickly scan daily and weekly trends to assess alignment or conflicting signals.
Multi-Timeframe Trend Analysis:
- Simultaneous daily and weekly trend comparison
- Immediate identification of trend alignment
- Early warning system for potential reversals
- Momentum confirmation for entry decisions
------------------------------------------------------------------------------------
6. VISUAL DESIGN & DISPLAY FEATURES
------------------------------------------------------------------------------------
Color Psychology Framework: The color scheme isn't random but based on psychological associations and trading conventions:
- **Blue Tones**: Institutional neutrality (VWAP levels)
- **Green Spectrum**: Growth and stability (weekly timeframes)
- **Purple Range**: Longer-term sophistication (monthly analysis)
- **Orange Hues**: Importance and attention (yearly perspective)
- **Red Tones**: User-defined significance (custom levels)
Adaptive Display Technology: The indicator automatically adjusts decimal places based on the instrument you're trading. High-priced stocks show 2 decimals, while penny stocks might show 8. This keeps the display incredibly clean regardless of what you're analyzing - no cluttered charts or overwhelming information overload.
Smart Labeling System: Advanced positioning algorithm automatically spaces all elements to prevent overlap, even during extreme zoom levels or multiple timeframe analysis. Every level stays clearly readable without any visual chaos disrupting your analysis.
------------------------------------------------------------------------------------
7. CUSTOM LEVEL INTEGRATION
------------------------------------------------------------------------------------
User-Defined Level System: Beyond the calculated VWAP and moving average levels, traders can add custom horizontal lines at any price point for personalized analysis.
Strategic Applications:
- **Psychological Levels**: Round numbers, previous significant highs/lows
- **Technical Levels**: Fibonacci retracements, pivot points
- **Fundamental Targets**: Analyst price targets, earnings estimates
- **Risk Management**: Stop-loss and take-profit zones
Integration Features:
- Seamless incorporation with smart labeling system
- Custom color selection for visual organization
- Extension capabilities across all chart timeframes
- Maintains display clarity with existing indicators
------------------------------------------------------------------------------------
8. REPAINT PROTECTION TECHNOLOGY
------------------------------------------------------------------------------------
Critical Trading Feature: This addresses one of the most significant issues in live trading applications. Most multi-timeframe indicators "repaint," meaning they display different signals when viewing historical data versus real-time analysis.
Protection Benefits:
- Ensures every displayed signal could have been traded when it appeared
- Eliminates discrepancies between historical and live analysis
- Provides realistic performance expectations
- Maintains signal integrity across chart refreshes
Configuration Options:
- **Protection Enabled**: Default setting for live trading
- **Protection Disabled**: Available for backtesting analysis
- User-selectable toggle based on analysis requirements
- Applies to all multi-timeframe calculations
Implementation Note: With protection enabled, signals may appear one bar later than without protection, but this ensures all signals represent actionable opportunities that could have been executed in real-time market conditions.
------------------------------------------------------------------------------------
9. PRACTICAL TRADING APPLICATIONS
------------------------------------------------------------------------------------
**Day Trading Strategy**:
Focus on daily VWAP with 5-period moving averages. Look for bounces off VWAP or breaks through it with volume. Short-term momentum signals provide entry and exit timing.
**Swing Trading Approach**:
Weekly VWAP becomes your primary anchor point, with 50-period averages showing intermediate trends. Position sizing based on weekly VWAP distance.
**Position Trading Method**:
Monthly and yearly VWAP provide broad market context, while 200-period averages confirm long-term directional bias. Suitable for multi-week to multi-month holdings.
**Multi-Timeframe Confluence Strategy**:
The highest-probability setups occur when daily, weekly, and monthly VWAPs cluster together, especially when multiple moving averages confirm the same direction. These represent institutional consensus zones.
Risk Management Integration:
- VWAP levels serve as dynamic stop-loss references
- Multiple timeframe confirmation reduces false signals
- Institutional flow analysis improves position sizing decisions
- Trend direction signals optimize entry and exit timing
------------------------------------------------------------------------------------
10. SETUP & CONFIGURATION RECOMMENDATIONS
------------------------------------------------------------------------------------
Initial Configuration: Start with default settings and adjust based on individual trading style and market focus. Short-term traders should emphasize daily and weekly timeframes, while longer-term investors benefit from monthly and yearly level analysis.
Transparency Optimization: The transparency settings allow clear price action visibility while maintaining level reference points. Most traders find 70-80% transparency optimal - it provides a clean, unobstructed view of price movement while maintaining all critical reference levels needed for analysis.
Integration Strategy: Remember that no indicator functions effectively in isolation. LOI provides excellent context for institutional flow and trend direction analysis, but should be combined with complementary analysis tools for optimal results.
Performance Considerations:
- Multiple timeframe calculations may impact chart loading speed
- Adjust displayed timeframes based on trading frequency
- Customize color schemes for different market sessions
- Regular review and adjustment of custom levels
------------------------------------------------------------------------------------
FINAL ANALYSIS
------------------------------------------------------------------------------------
Competitive Advantage: What makes LOI different is its focus on where real money actually trades. By combining volume-weighted calculations with multiple timeframes and trend detection, it cuts through market noise to show you what institutions are really doing.
Key Success Factor: Understanding that different timeframes serve different purposes is essential. Use them together to build a complete picture of market structure, then execute trades accordingly.
The integration of institutional flow analysis with technical trend detection creates a comprehensive trading tool that addresses both short-term tactical decisions and longer-term strategic positioning.
------------------------------------------------------------------------------------
END OF DOCUMENTATION
------------------------------------------------------------------------------------
EMA 200 Monitor - Bybit CoinsEMA 200 Monitor - Bybit Coins
📊 OVERVIEW
The EMA 200 Monitor - Bybit Coins is an advanced indicator that automatically monitors 30 of the top cryptocurrencies traded on Bybit, alerting you when they are close to the 200-period Exponential Moving Average on the 4-hour timeframe.
This indicator was developed especially for traders who use the EMA 200 as a key support/resistance level in their swing trading and position trading strategies.
🎯 WHAT IT'S FOR
Multi-Asset Monitoring: Simultaneous monitoring of 30 cryptocurrencies without having to switch between charts
Opportunity Identification: Detects when coins are approaching the 200 EMA, a crucial technical level
Automated Alerts: Real-time notifications when a coin reaches the configured proximity
Time Efficiency: Eliminates the need to manually check chart collections
⚙️ HOW IT WORKS
Main Functionality
The indicator uses the request.security() function to fetch price data and calculate the 200 EMA of each monitored asset. With each new bar, the script:
Calculates the distance between the current price and the 200 EMA for each coin
Identifies proximity based on the configured percentage (default: 2%)
Displays results in a table organized on the chart
Generates automatic alerts when proximity is detected
Monitored Coins
Major : BTC, ETH, BNB, ADA, XRP, SOL, DOT, DOGE, AVAX
DeFi : UNI, LINK, ATOM, ICP, NEAR, OP, ARB, INJ
Memecoins : SHIB, PEPE, WIF, BONK, FLOKI
Emerging : SUI, TON, APT, POL (ex-MATIC)
📋 AVAILABLE SETTINGS
Adjustable Parameters
EMA Length (Default: 200): Exponential Moving Average Period
Proximity Percentage (Default: 2%): Distance in percentage to consider "close"
Show Table (Default: Active): Show/hide results table
Table Position: Position of the table on the chart (9 options available)
Color System
🔴 Red: Distance ≤ 1% (very close)
🟠 Orange: Distance ≤ 1.5% (close)
🟡 Yellow: Distance ≤ 2% (approaching)
🚀 HOW TO USE
Initial Configuration
Add the indicator to the 4-hour timeframe chart
Set the parameters according to your strategy
Position the table where there is no graphic preference
Setting Alerts
Click "Create Alert" in TradingView
Select the "EMA 200 Monitor" indicator
Set the notification frequency and method
Activate the alert to receive automatic notifications
Results Interpretation
The table shows:
Coin: Asset name (e.g. BTC, ETH)
Price: Current currency quote
EMA 200: Current value of the moving average
Distance: Percentage of proximity to the core code
💡 STRATEGIES TO USE
Reversal Trading
Entry: When price touches or approaches the EMA 200
Stop: Below/above the EMA with a safety margin
Target: Previous resistance/support levels
Breakout Trading
Monitoring: Watch for currencies consolidating near the EMA 200
Entry: When the media is finally broken
Confirmation: Volume and close above/below the EMA
Swing Trading
Identification: Use the monitor to detect setups in formation
Timing: Wait for the EMA 200 to approach for detailed analysis
Management: Use the EMA as a reference for stops dynamics
⚠️ IMPORTANT CONSIDERATIONS
Technical Limitations
Request Bybit data: Access to exchange symbols required
Specific timeframe: Optimized for 4-hour analysis
Minimum delay: Data updated with each new bar
Usage Recommendations
Combine with technical analysis: Use together with other indicators
Confirm the configuration: Check the graphic patterns before trading
Manage risk: Always use stop loss and adequate position sizing
Backtesting: Test your strategy before applying with real capital
Disclaimer
This indicator is a technical analysis tool and does not constitute investment advice. Always do your own analysis and manage detailed information about the risks of your operations.
🔧 TECHNICAL INFORMATION
Pine Script version: v6
Type: Indicator (overlay=true)
Compatibility: All TradingView plans
Resources used: request.security(), arrays, tables
Performance: Optimized for multiple simultaneous queries
📈 COMPETITIVE ADVANTAGES
✅ Simultaneous monitoring of 30 major assets ✅ Clear visual interface with intuitive core system ✅ Customizable alerts for different details ✅ Optimized code for maximum performance ✅ Flexible configuration adaptable to different strategies ✅ Real-time update without the need for manual refresh
Developed for traders who value efficiency and accuracy in identifying market opportunities based on the EMA 20
CVD Trend IndikatorCVD Trend Indicator (Cumulative Volume Delta)
This Pine Script indicator is designed to help traders visualize the underlying buying and selling pressure in the market by analyzing the Cumulative Volume Delta (CVD). It provides insights into whether buyers or sellers are more aggressive over time, aiding in trend confirmation and potential reversal identification.
How it Works:
The indicator calculates the Cumulative Volume Delta for each candlestick.
If the candle closes higher than it opened (close > open), its entire volume is considered buying volume (positive delta).
If the candle closes lower than it opened (close < open), its entire volume is considered selling volume (negative delta).
If the candle closes at the same price it opened (close == open), its delta is considered zero.
These individual candle deltas are then cumulatively summed up over time, creating the CVD line. A rising CVD indicates increasing buying pressure, while a falling CVD suggests growing selling pressure.
The indicator also features an optional Simple Moving Average (SMA) of the CVD, which helps smooth out the CVD line and identify the prevailing trend in buying/selling pressure more clearly.
Key Features:
Cumulative Volume Delta (CVD) Line:
Rising CVD (Blue Line): Indicates aggressive buying pressure is dominant, supporting bullish price action.
Falling CVD (Blue Line): Suggests aggressive selling pressure is dominant, supporting bearish price action.
CVD Moving Average (Red Line, optional):
A user-defined SMA of the CVD, which acts as a trend filter for the volume delta.
When the CVD crosses above its MA, it can signal increasing buying momentum.
When the CVD crosses below its MA, it can signal increasing selling momentum.
Session Reset:
The CVD automatically resets at the beginning of each new trading session (daily by default). This provides a fresh perspective on the day's accumulated buying or selling pressure, which is particularly useful for day traders.
Background Color Visuals:
The indicator panel's background changes color to visually represent periods of dominant buying pressure (green background when CVD > CVD MA) or selling pressure (red background when CVD < CVD MA), offering a quick glance at the market's underlying bias.
Trading Insights:
Trend Confirmation: Use a rising CVD (and its MA) to confirm an uptrend, or a falling CVD (and its MA) to confirm a downtrend.
Divergences: Look for CVD Divergences as potential reversal signals:
Bullish Divergence: Price makes a lower low, but CVD makes a higher low (suggests selling pressure is weakening).
Bearish Divergence: Price makes a higher high, but CVD makes a lower high (suggests buying pressure is weakening).
Momentum Shifts: Sudden, sharp changes in the CVD's direction or its cross over/under its MA can signal shifts in market momentum.
Support/Resistance Confirmation: Observe CVD behavior around key price levels. Weakening buying pressure at resistance or weakening selling pressure at support can confirm the strength of these levels.
Customization:
showMA: Toggle the visibility of the CVD's Moving Average.
maLength: Adjust the period for the CVD's Moving Average to control its sensitivity to recent price action. A shorter length makes it more reactive, while a longer length makes it smoother.
Disclaimer: No indicator is foolproof. Always use the CVD Trend Indicator in conjunction with other technical analysis tools, price action, and robust risk management strategies. Backtesting and forward testing are crucial for understanding its effectiveness in different market conditions and timeframes.
CISD Levels by HAZEDCISD Levels by HAZED - Advanced Market Structure Analysis
📊 Overview
The CISD Levels indicator is a sophisticated market structure analysis tool that automatically identifies and plots critical support and resistance levels based on Change in State Direction (CISD) methodology. This indicator helps traders visualize key market turning points and potential breakout/breakdown levels with precision.
🎯 What are CISD Levels?
CISD (Change in State Direction) levels represent significant price points where market sentiment shifts from bullish to bearish or vice versa. These levels are dynamically calculated based on:
Market structure breaks (higher highs/lower lows)
Pullback patterns and trend continuations
Real-time price action analysis
Dynamic level updates as market conditions evolve
✨ Key Features
🔥 Smart Level Detection
Automatically identifies bullish (+CISD) and bearish (-CISD) levels
Real-time updates as market structure evolves
Intelligent pullback detection algorithm
🎨 Full Customization
Colors: Customize bullish/bearish level colors
Line Styles: Choose from solid, dotted, or dashed lines
Text Labels: Fully customizable text, size, and font options
Transparency: Adjustable line transparency (0-100%)
Extensions: Control how far lines extend into the future
📈 Historical Analysis
Show All Levels: Option to display historical CISD levels
Max Levels Control: Limit the number of historical levels shown (1-50)
Level Management: Automatic cleanup of old levels
🚨 Smart Alerts
Bullish Alerts: Get notified when price breaks above +CISD levels
Bearish Alerts: Get notified when price breaks below -CISD levels
Alert Frequency: Choose between "Once Per Bar" or "Once Per Bar Close"
📊 Statistics Table
Market State: Current bullish/bearish market condition
Active Levels: Count of currently active CISD levels
Latest Levels: Display of most recent +CISD and -CISD values
Positioning: 5 different table positions available
🛠️ How to Use
For Swing Traders:
Use CISD levels as key support/resistance zones
Enter positions on level breaks with proper risk management
Set stop losses below/above opposite CISD levels
For Day Traders:
Watch for price reactions at CISD levels
Use levels for entry/exit timing
Combine with volume analysis for confirmation
For Position Traders:
Identify major market structure changes
Use higher timeframe CISD levels for strategic entries
Monitor level breaks for trend continuation signals
⚙️ Settings Guide
CISD Level Settings
Bullish/Bearish Colors: Customize level appearance
Custom Text: Add your own labels to levels
Alert Setup: Enable notifications for level breaks
Historical Levels: Choose to show past levels for context
Appearance Customization
Line Width: 1-5 pixel thickness options
Line Style: Solid, dotted, or dashed
Extension Bars: Control future projection (1-50 bars)
Text Options: Size, font, and bold formatting
Statistics Table
Enable/Disable: Toggle table visibility
Position: 5 placement options on chart
Real-time Data: Live market state and level information
🎯 Best Practices
Multi-Timeframe Analysis: Use CISD levels across different timeframes for confluence
Risk Management: Always use proper position sizing and stop losses
Confirmation: Combine with volume, momentum, or other indicators
Market Context: Consider overall market conditions and news events
Backtesting: Test the levels on historical data before live trading
📋 Technical Specifications
Overlay: True (plots directly on price chart)
Max Lines: 500 (handles multiple historical levels)
Max Labels: 500 (supports extensive labeling)
Real-time Updates: Dynamic level calculation and alerts
Performance: Optimized code for smooth chart operation
🚀 Why Choose CISD Levels?
Precision: Advanced algorithm for accurate level identification
Flexibility: Extensive customization options for any trading style
Reliability: Proven market structure analysis methodology
User-Friendly: Intuitive settings with helpful tooltips
Professional: Clean, professional appearance on any chart
📞 Support & Updates
This indicator is actively maintained and updated. For questions, suggestions, or feature requests, feel free to reach out through TradingView messaging.
⚠️ Disclaimer: This indicator is for educational and informational purposes only. Always conduct your own analysis and risk management. Past performance does not guarantee future results.
Sessions [Plug&Play]This indicator automatically highlights the three major FX trading sessions—Asia, London, and New York—on your chart and, at the close of each session, draws right-extended horizontal rays at that session’s high and low. It’s designed to help you visually identify when price is trading within each session’s range and to quickly see where the highest and lowest prices occurred before the next major session begins.
Key Features:
Session Boxes
Draws a semi-transparent box around each session’s timeframe (Asia, London, New York) based on your local UTC offset.
Each box dynamically expands in real time: as new candles form during the session, the box’s top and bottom edges update to match the highest high and lowest low seen so far in that session.
When the session ends, the box remains on your chart, anchored to the exact candles that formed its boundaries.
High/Low Rays
As soon as a session closes (e.g., London session ends at 17:00 UTC+0 by default), two horizontal rays are drawn at that session’s final high and low.
These rays are “pinned” to the exact candles where the high/low occurred, so they stay in place when you scroll or zoom.
Each ray extends indefinitely to the right, providing a clear reference of the key supply/demand levels created during that session.
Session Labels
Optionally places a small “London,” “New York,” or “Asia” label at the top edge of each completed session’s box.
Labels are horizontally centered within the session’s box and use a contrasting, easy-to-read font color.
Customizable Appearance
Show/Hide Each Session: Toggle display of London, New York, and Asia sessions separately.
Time Ranges: By default, London is 08:00–17:00 (UTC), New York is 13:00–22:00 (UTC), and Asia is 00:00–07:00 (UTC). You can override each session’s start/end times using the “Time Range” picker.
Color & Opacity: Assign custom colors to each session. Choose a global “Dark,” “Medium,” or “Light” opacity preset to adjust box fill transparency and border shading.
Show/Hide Labels & Outlines: Turn the text labels and the box borders on or off independently.
UTC Offset Support
If your local broker feed or price data is not in UTC, simply adjust the “UTC Offset (+/–)” input. The indicator will recalculate session start/end times relative to your chosen offset.
How to Use:
Add the Indicator:
Open TradingView’s Pine Editor, paste in this script, and click “Add to Chart.”
By default, you’ll see three translucent boxes appear once each session begins (Asia, London, New York).
Watch in Real Time:
As soon as a session starts, its box will appear anchored to the first candle. The top and bottom of the box expand if new extremes occur.
When the session closes, the final box remains visible and two horizontal rays mark that session’s high and low.
Analyze Key Levels:
Use the high- and low-level rays to gauge session liquidity zones—areas where stop orders, breakouts, or reversals often occur.
For example, if London’s high is significantly above current price, it may act as resistance in the New York session.
Customize to Your Needs:
Toggle specific sessions on/off (e.g., if you only care about London and New York).
Change each session’s color to match your chart theme.
Adjust the “UTC Offset” so sessions align with your local time.
Disable labels or box borders if you prefer a cleaner look.
Inputs Overview:
Show London/New York/Asia Session (bool): Show or hide each session’s box and its high/low rays.
Time Range (session): Defines the start/end of each session in “HHMM–HHMM” (24h) format.
Colour (color): Custom color for each session’s box fill, border, and high/low rays.
Show Session Labels (bool): Toggle the “London,” “New York,” “Asia” text that appears at the top of each completed box.
Show Range Outline (bool): Toggle the box border (if off, only a translucent fill is drawn).
Opacity Preset (Dark/Medium/Light): Controls transparency of box fill and border.
UTC Offset (+/–) (int): Adjusts session times for different time zones (e.g., +1 for UTC+1).
Why It’s Useful:
Quickly Identify Session Activity: Visually distinguish when each major trading session is active, then compare price action across sessions.
Pinpoint High/Low Liquidity Levels: Drawn rays highlight where the market hit its extremes—critical zones for stop orders or breakout entries.
Multi-Timeframe Context: By seeing historical session boxes and rays, you can locate recurring supply/demand areas, overlap zones, or session re-tests.
Fully Automated Workflow: Once added to your chart, the script does all the work of tracking session boundaries and drawing high/low lines—no manual box or line drawing necessary.
Example Use Cases:
London Breakout Traders: See where London’s high/low formed, then wait for price to revisit those levels during the New York session.
Range Breakout Strategies: If price consolidates inside the London box, use the boxed extremes as immediate targets for breakout entries.
Intraday Liquidity Swings: During quieter hours, watch Asia’s high/low to identify potential support/resistance before London’s opening.
Overlap Zones: Compare London’s range with Asia’s range to find areas of confluence—high-probability reversal or continuation zones.
3 Bar Reversal3 Bar Reversal
This pattern is described in John Carter's "Mastering the Trade"
The 3 Bar Reversal indicator is a simple but effective price action tool designed to highlight potential short-term reversals in market direction. It monitors consecutive bar behavior and identifies turning points based on a three-bar pattern. This tool can assist traders in spotting trend exhaustion or early signs of a reversal, particularly in scalping or short-term trading strategies.
How It Works
This indicator analyzes the relationship between consecutive bar closes:
It counts how many bars have passed since the price closed higher than the previous close (barssince(close >= close )) — referred to as an "up streak".
It also counts how many bars have passed since the price closed lower than the previous close (barssince(close <= close )) — known as a "down streak".
A reversal condition is met when:
There have been exactly 3 bars in a row moving in one direction (up or down), and
The 4th bar closes in the opposite direction.
When this condition is detected, the script performs two actions:
Plots a triangle on the chart to signal the potential reversal:
A green triangle below the bar for a possible long (buy) opportunity.
A red triangle above the bar for a possible short (sell) opportunity.
Triggers an alert condition so users can set notifications for when a reversal is detected.
Interpretation
Long Signal: The market has printed 3 consecutive lower closes, followed by a higher close — suggesting bullish momentum may be emerging.
Short Signal: The market has printed 3 consecutive higher closes, followed by a lower close — indicating possible bearish momentum.
These patterns are common in market retracements and can act as confirmation signals when used with other indicators such as RSI, MACD, support/resistance, or volume analysis.
Usage Examples
Scalping: Use the reversal signal to quickly enter short-term trades after a short-term exhaustion move.
Swing Trading: Combine this with trend indicators (e.g., moving averages) to time pullbacks within larger trends.
Confirmation Tool: Use this indicator alongside candlestick patterns or support/resistance zones to validate entry or exit points.
Alert Setup: Enable alerts based on the built-in alertcondition to receive instant notifications for potential trade setups.
Limitations
The 3-bar reversal logic does not guarantee a trend change; it signals potential reversals, which may need confirmation.
Best used in conjunction with broader context such as trend direction, market structure, or other technical indicators.
Neural Adaptive VWAPNeural Adaptive VWAP with ML Features is an advanced trading indicator that enhances traditional Volume Weighted Average Price (VWAP) calculations through machine learning-inspired adaptive algorithms and predictive volume modeling.
🌟 Key Features:
🧠 Machine Learning-Inspired Adaptation
Dynamic weight adjustment system that learns from prediction errors
Multi-feature volume prediction using time-of-day patterns, price momentum, and volatility
Adaptive learning mechanism that improves accuracy over time
📊 Enhanced VWAP Calculation
Combines actual and predicted volume for forward-looking VWAP computation
Session-based reset with proper daily anchoring
Confidence bands based on rolling standard deviation for dynamic support/resistance
🎯 Advanced Signal Generation
Volume-confirmed crossover signals to reduce false entries
Color-coded candle visualization based on VWAP position
Multi-level strength indicators (strong/weak bullish/bearish zones)
⚙️ Intelligent Feature Engineering
Normalized volume analysis with statistical z-score
Time-series pattern recognition for intraday volume cycles
Price momentum and volatility integration
Sigmoid activation functions for realistic predictions
📈 How It Works:
The indicator employs a sophisticated feature engineering approach that extracts meaningful patterns from:
Volume Patterns: Normalized volume analysis and historical comparisons
Temporal Features: Time-of-day and minute-based cyclical patterns
Market Dynamics: Price momentum, volatility, and rate of change
Adaptive Learning: Error-based weight adjustment similar to neural network training
Unlike static VWAP indicators, this system continuously adapts its calculation methodology based on real-time market feedback, making it more responsive to changing market conditions while maintaining the reliability of traditional VWAP analysis.
🔧 Customizable Parameters:
VWAP Length (1-200 bars)
Volume Pattern Lookback (5-50 periods)
Learning Rate (0.001-0.1) for adaptation speed
Prediction Horizon (1-10 bars ahead)
Adaptation Period for weight updates
📊 Visual Elements:
Blue Line: Adaptive VWAP with predictive elements
Red/Green Bands: Dynamic confidence zones
Colored Candles: Position-based strength visualization
Signal Arrows: Volume-confirmed entry points
Info Table: Real-time performance metrics and weight distribution
🎯 Best Use Cases:
Intraday Trading: Enhanced execution timing with volume prediction
Institutional-Style Execution: Improved VWAP-based order placement
Trend Following: Adaptive trend identification with confidence zones
Support/Resistance Trading: Dynamic levels that adjust to market conditions
Liquidity Sweep Candlestick Pattern with MA Filter📌 Liquidity Sweep Candlestick Pattern with MA Filter
This custom indicator detects liquidity sweep candlestick patterns—price action events where the market briefly breaks a previous candle’s high or low to trap traders—paired with optional filters such as moving averages, color change candles, and strictness rules for better signal accuracy.
🔍 What is a Liquidity Sweep?
A liquidity sweep occurs when the price briefly breaks the high or low of a previous candle and then reverses direction. These events often occur around key support/resistance zones and are used by institutional traders to trap retail positions before moving the price in the intended direction.
🟢 Bullish Liquidity Sweep Criteria
The current candle is bullish (closes above its open).
The low of the current candle breaks the low of the previous candle.
The candle closes above the previous candle’s open.
Optionally, in Strict mode, it must also close above the previous candle’s high.
Optionally, it can be filtered to only show if the candle changed color from the previous one (e.g., red to green).
Can be filtered to only show when the price is above or below a moving average (if MA filter is enabled).
🔴 Bearish Liquidity Sweep Criteria
The current candle is bearish (closes below its open).
The high of the current candle breaks the high of the previous candle.
The candle closes below the previous candle’s open.
Optionally, in Strict mode, it must also close below the previous candle’s low.
Optionally, it can be filtered to only show if the candle changed color from the previous one (e.g., green to red).
Can be filtered to only show when the price is above or below a moving average (if MA filter is enabled).
⚙️ Features & Customization
✅ Signal Strictness
Choose between:
Less Strict (default): Basic wick break and close conditions.
Strict: Must close beyond the wick of the previous candle.
✅ Color Change Candles Only
Enable this to only show patterns when the candle color changes (e.g., from red to green or green to red). Helps filter fake-outs.
✅ Moving Average Filter (optional)
Supports several types of MAs: SMA, EMA, WMA, VWMA, RMA, HMA
Choose whether signals should only appear above or below the selected moving average.
✅ Custom Visuals
Show short (BS) or full (Bull Sweep / Bear Sweep) labels
Plot triangles or arrows to represent bullish and bearish sweeps
Customize label and shape colors
Optionally show/hide the moving average line
✅ Alerts
Includes alert options for:
Bullish sweep
Bearish sweep
Any sweep
📈 How to Use
Add the indicator to your chart.
Configure the strictness, color change, or MA filters based on your strategy.
Observe signals where price is likely to reverse after taking out liquidity.
Use with key support/resistance levels, order blocks, or volume zones for confluence.
⚠️ Note
This tool is for educational and strategy-building purposes. Always confirm signals with other indicators, context, and sound risk management.
Canuck Trading Projection IndicatorCanuck Trading Projection Indicator
Overview
The Canuck Trading Projection Indicator is a powerful PineScript v6 tool designed for TradingView to project potential bullish and bearish price trajectories based on historical price and volume movements. It provides traders with actionable insights by estimating future price targets and assigning confidence levels to each outlook, helping to identify probable market directions across any timeframe. Ideal for both short-term and long-term traders, this indicator combines momentum analysis, RSI filtering, support/resistance detection, and time-weighted trend analysis to deliver robust projections.
Features
Bullish and Bearish Projections: Forecasts price targets for upward (bullish) and downward (bearish) movements over a user-defined projection period (default 20 bars).
Confidence Levels: Assigns percentage confidence scores to each outlook, reflecting the likelihood of the projected price based on historical trends, volatility, and volume.
RSI Filter: Incorporates a 14-period Relative Strength Index (RSI) to validate trends, requiring RSI > 50 for bullish and RSI < 50 for bearish signals.
Support/Resistance Detection: Adjusts confidence levels when projections are near key swing highs/lows (within 2% of average price), boosting confidence by 5% for alignments.
Time-Based Weighting: Prioritizes recent price movements in trend analysis, giving more weight to newer bars for improved relevance.
Customizable Inputs: Allows users to tailor lookback period, projection bars, RSI period, confidence threshold, colors, and label positioning.
Forced Label Spacing: Prevents overlap of bullish and bearish text labels, even for tight projections, using fixed vertical slots when price differences are small (<2% of average price).
Timeframe Flexibility: Works seamlessly across all TradingView timeframes (e.g., 30-minute, hourly, daily, weekly, monthly), adapting projections to the chart’s resolution.
Clean Visualization: Displays projections as green (bullish) and red (bearish) dashed lines, with non-overlapping text labels at the projection endpoints showing price targets and confidence levels.
How It Works
The indicator analyzes historical price and volume data over a user-defined lookback period (default 50 bars) to calculate:
Momentum: Combines price changes and volume to assess trend strength, using a weighted moving average (WMA) for directional bias.
Trend Analysis: Counts bullish (price up, volume above average, RSI > 50) and bearish (price down, volume above average, RSI < 50) trends, weighting recent bars more heavily.
Projections:
Bullish Slope: Positive or flat when momentum is upward, scaled by price change and momentum intensity.
Bearish Slope: Negative or flat when momentum is downward, amplified by bearish confidence for stronger projections.
Projects prices forward by 20 bars (default) using current close plus slope times projection bars.
Confidence Levels:
Base confidence derived from the proportion of bullish/bearish trends, with a 5% minimum to avoid zero confidence.
Adjusted by volatility (lower volatility increases confidence), volume trends, and proximity to support/resistance levels.
Visualization:
Draws projection lines from the current close to the 20-bar future target.
Places text labels at line endpoints, showing price targets and confidence percentages, with forced spacing for readability.
Input Parameters
Lookback Period (default: 50): Number of bars for historical analysis (minimum 10).
Projection Bars (default: 20): Number of bars to project forward (minimum 5).
Confidence Threshold (default: 0.6): Minimum confidence for strong trend indication (0.1 to 1.0).
Bullish Projection Line Color (default: Green): Color for bullish projection line and label.
Bearish Projection Line Color (default: Red): Color for bearish projection line and label.
RSI Period (default: 14): Period for RSI momentum filter (minimum 5).
Label Vertical Offset (%) (default: 1.0): Base offset for labels as a percentage of price range (0.1% to 5.0%).
Minimum Label Spacing (%) (default: 2.0): Minimum vertical spacing between labels for tight projections (0.5% to 10.0%).
Usage Instructions
Add to Chart: Copy the script into TradingView’s Pine Editor, save, and add the indicator to your chart.
Select Timeframe: Apply to any timeframe (e.g., 30-minute, hourly, daily, weekly, monthly) to match your trading strategy.
Interpret Outputs:
Green Line/Label: Bullish price target and confidence (e.g., "Bullish: 414.37, Confidence: 35%").
Red Line/Label: Bearish price target and confidence (e.g., "Bearish: 279.08, Confidence: 41.3%").
Higher confidence indicates a stronger likelihood of the projected outcome.
Adjust Inputs:
Modify Lookback Period to focus on shorter/longer historical trends (e.g., 20 for short-term, 100 for long-term).
Change Projection Bars to adjust forecast horizon (e.g., 10 for shorter, 50 for longer).
Tweak RSI Period or Confidence Threshold for sensitivity to momentum or trend strength.
Customize Colors for visual preference.
Increase Minimum Label Spacing if labels overlap in volatile markets.
Combine with Analysis: Use alongside other indicators (e.g., moving averages, Bollinger Bands) or fundamental analysis to confirm signals, as projections are probabilistic.
Example: TSLA Across Timeframes
Using live TSLA data (close ~346.46 USD, May 31, 2025), the indicator produces:
30-Minute: Bullish 341.93 (13.3%), Bearish 327.96 (86.7%) – Strong bearish sentiment due to intraday volatility.
1-Hour: Bullish 342.00 (33.9%), Bearish 327.50 (62.3%) – Bearish but less intense, reflecting hourly swings.
4-Hour: Bullish 345.52 (73.4%), Bearish 344.44 (19.0%) – Flat outlook, indicating consolidation.
Daily: Bullish 391.26 (68.8%), Bearish 302.22 (31.2%) – Bullish bias from recent uptrend, bearish tempered by longer lookback.
Weekly: Bullish 414.37 (35.0%), Bearish 279.08 (41.3%) – Wide range, reflecting annual volatility.
Monthly: Bullish 396.70 (54.9%), Bearish 296.93 (10.2%) – Long-term bullish optimism.
These results align with market dynamics: short-term intervals capture volatility, while longer intervals smooth trends, providing balanced outlooks.
Notes
Accuracy: Projections are estimates based on historical data and should be used with other analysis tools. Confidence levels indicate likelihood, not certainty.
Timeframe Sensitivity: Short-term intervals (e.g., 30-minute) show larger price swings and higher confidence due to volatility, while longer intervals (e.g., monthly) are more stable.
Customization: Adjust inputs to match your trading style (e.g., shorter lookback for day trading, longer for swing trading).
Performance: Tested on volatile stocks like TSLA, NVIDIA, and others, ensuring robust performance across markets.
Limitations: May produce conservative bearish projections in strong uptrends due to momentum weighting. Adjust lookback or projection_bars for sensitivity.
Feedback
If you encounter issues (e.g., label overlap, projection mismatches), please share your timeframe, settings, or a screenshot. Suggestions for enhancements (e.g., additional filters, visual tweaks) are welcome!
Disclaimer
The Canuck Trading Projection Indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves significant risks, and past performance is not indicative of future results. Always perform your own due diligence and consult a qualified financial advisor before making trading decisions.
X OROverview
Designed to plot hourly opening ranges (ORs) on an intraday chart. It primarily serves as a trading tool for assessing market direction and potential trading opportunities by analyzing price action relative to key OHLC (Open, High, Low, Close) levels within each hourly range.
The code provided is for each hour sessions from 2:00 AM to 3:00 PM for a complete session-based framework. In addition there is the RTH open range
Purpose
The core purpose of this indicator is to:
✅ Define each hourly range (based on the session’s opening bar) by recording the high and low of that range.
✅ Extend this range into the following bars for visual reference — serving as dynamic support and resistance zones.
✅ Monitor price action relative to each hourly OR, helping traders evaluate market direction and structure trades using concepts like:
Breakouts above/below the OR high/low.
Rejections or consolidations within the OR.
Continuation or reversal signals tied to each OR.
Key Features
The script marks the first bar of the session as the OR session start.
During this bar, it initializes:
Opening price
Session high
Session low
These levels form the initial range.
🔹 Dynamic Range Tracking
Throughout the one-minute OR session:
The highest and lowest prices are updated in real time, capturing intra-hour volatility.
A visual background box is drawn to highlight the OR range on the chart.
🔹 Range Extension
The script defines an extended session period after the initial OR (e.g., 2:00 AM-2:45 AM for the 2:00 AM session).
During this extension period:
The box persists on the chart, providing a contextual zone that traders can use as a dynamic support/resistance area.
🔹 Visual Representation
Transparent colored boxes highlight each session’s OR visually on the chart.
These boxes help traders easily identify whether price is trading:
Inside the OR
Breaking above the high (potential bullish continuation)
Breaking below the low (potential bearish continuation)
Application in Trading
🔍 Trading the Opening Range Breakout
Traders often use the OR high and low as breakout triggers. For example:
A price break above the OR high may signal bullish momentum.
A break below the OR low may signal bearish momentum.
⚖️ Support and Resistance
Even if breakouts fail, the OR can act as a pivot zone — offering areas for:
Stop placements
Target levels
Entry confirmations for fade trades or mean reversion strategies.
🕒 Session Awareness
By defining each hour’s OR individually (from 2:00 AM to 3:00 PM), traders can:
Analyze price behavior within each session.
Recognize when liquidity or volatility increases (e.g. around overlapping sessions like London open or New York open).
Summary
This Pine Script indicator provides a powerful framework for visualizing and trading hourly opening ranges. It enhances intraday analysis by:
Structuring price action within hourly boxes.
Highlighting key price levels relative to OHLC concepts.
Helping traders make more informed decisions by assessing price behavior around these critical ranges.
Candle Volume Profile Marker# 📊 Candle Volume Profile Marker (CVPM)
**Transform your chart analysis with precision volume profile levels on every candle!**
The Candle Volume Profile Marker displays key volume profile levels (POC, VAH, VAL) for individual candles, giving you granular insights into price acceptance and rejection zones at the micro level.
## 🎯 **Key Features**
### **Core Levels**
- **POC (Point of Control)** - The price level with highest volume concentration
- **VAH (Value Area High)** - Upper boundary of the value area
- **VAL (Value Area Low)** - Lower boundary of the value area
- **Customizable Value Area** - Adjust percentage from 50% to 90%
### **Flexible Display Options**
- **Current Candle Only** or **Historical Lookback** (1-50 candles)
- **Multiple Visual Styles** - Lines, dots, crosses, triangles, squares, diamonds
- **Smart Line Extensions** - Right only, both sides, or left only
- **4 Line Length Modes** - Normal, Short, Ultra Short, Micro (for ultra-clean charts)
- **Full Color Customization** - Colors, opacity, line width
- **Adjustable Marker Sizes** - Tiny to Large
### **Advanced Calculation Methods**
Choose your POC calculation:
- **Weighted** - Smart estimation based on volume distribution (default)
- **Close** - Uses closing price
- **Middle** - High-Low midpoint
- **VWAP** - Volume weighted average price
### **Professional Tools**
- **Real-time Info Table** - Current levels display
- **Smart Alerts** - POC crosses and Value Area breakouts
- **Highlight Current Candle** - Extended dotted lines for current levels
- **Developing Levels** - Real-time updates for active candle
## 🚀 **Why Use CVPM?**
### **Precision Trading**
- Identify exact support/resistance on each candle
- Spot volume acceptance/rejection zones
- Plan entries and exits with micro-level precision
### **Clean & Customizable**
- Lines extend only right (eliminates confusion)
- Ultra-short line options for minimal chart clutter
- Professional appearance with full customization
### **Multiple Timeframes**
- Works on any timeframe from 1-minute to monthly
- Historical analysis with adjustable lookback
- Real-time developing levels
## 📈 **Perfect For**
- **Day Traders** - Micro-level entry/exit points
- **Swing Traders** - Key levels for position management
- **Volume Analysis** - Understanding price acceptance zones
- **Support/Resistance Trading** - Precise level identification
- **Breakout Trading** - Value area breakout alerts
## ⚙️ **Easy Setup**
1. Add indicator to your chart
2. Choose your preferred visual style (lines/dots)
3. Select line extension (right-only recommended)
4. Adjust line length (try "Ultra Short" for clean charts)
5. Customize colors and enable alerts
## 🎨 **Customization Groups**
- **Display Options** - What to show and how many candles
- **Calculation** - POC method and value area percentage
- **POC Visual** - Style, color, width, length for Point of Control
- **Value Area Visual** - Style, color, width, length for VAH/VAL
- **Line Settings** - Extension direction and length modes
- **Size** - Marker sizes and opacity
## 🔔 **Built-in Alerts**
- Price crosses above/below POC
- Value Area breakouts (up/down)
- Fully customizable alert messages
## 💡 **Pro Tips**
- Use "Right Only" extension to avoid confusion about which candle owns the levels
- Try "Ultra Short" or "Micro" line modes for cleaner charts
- Enable "Highlight Current Candle" for extended reference lines
- Combine with volume indicators for enhanced analysis
- Use different colors for easy POC/VAH/VAL identification
---
**Transform your volume analysis today with the most flexible and customizable candle-level volume profile indicator available!**
*Perfect for traders who demand precision and clean, professional charts.*
Enhanced Daily Sentiment & Auction Area Trading StrategyDetermine Daily Sentiment (Anchor Chart - Daily TF):
Analyze Yesterday's Daily Candle: Look at the previous day's daily candlestick (high, low, open, close). This is the "most important information."
Establish Bias: If yesterday's candle was bullish (closed higher), the bias for today is generally long (approx. 80% of the time). If bearish, the bias is short.
Moving Average Context: Note if the daily price is above or below its short-term moving average (e.g., 21 or 50 MA). This should align with the candle's bias (e.g., bullish daily candle above its MA).
Pre-Market & Opening Analysis (Information Gathering):
Check for Gaps: Observe if the market is gapping up or down in the pre-market session relative to yesterday's close. This provides an early clue to current sentiment.
Consider Overall Sentiment: Briefly factor in relevant news or overarching market sentiment (e.g., data releases, overall market feeling from yields, gold etc.). Trading Window: Focus primarily on trading within the first hour of the U.S. market open, as this is when volatility is typically highest, which the strategy relies on.
Setup 5-Minute Chart for Execution (Trading TF - 5-min):
Apply Moving Average: Use the same short-term moving average (e.g., 21 or 50 MA) as on the daily chart.
Seek Alignment (Crucial): The 5-minute chart's trend and price action relative to its MA must align with the daily chart's bias and MA relationship.
If Daily bias is LONG (price above daily MA), the 5-minute chart should also show price establishing itself above its 5-min MA, ideally with a similar "45-degree angle" uptrend.
If Daily bias is SHORT (price below daily MA), the 5-minute chart should also show price establishing itself below its 5-min MA, with a similar downtrend. If there's no clear alignment between the daily and 5-minute chart structure/MA, do not trade.
Identify the "Auction Area" (Value/Congestion) on the 5-Minute Chart:
This is a recent area of congestion, a small support/resistance flip, or where price has paused, consolidated, and is retesting, often near the 5-minute MA.
Uptrend (Long Bias): Look for a pullback (a small "V" shape dip) towards the 5-minute MA or a recent small resistance-turned-support area. This is the "auction retest" before a potential breakout higher.
Downtrend (Short Bias): Look for a pullback rally (an inverted "V" shape) towards the 5-minute MA or a recent small support-turned-resistance area.
NY Opening Range Breakout - MA StopCore Concept
This strategy trades breakouts from the New York opening range (9:30-9:45 AM NY time) on intraday timeframes, designed for scalping and day trading.
Setup Requirements
Timeframe: Works on any timeframe under 15 minutes (1m, 2m, 3m, 5m, 10m)
Session: New York market hours
Range Period: 9:30-9:45 AM NY time (15-minute opening range)
Entry Rules
Long Entries:
Wait for a candle to close above the opening range high
Enter long on the next candle (before 12:00 PM NY time)
Must be above moving average if using MA-based take profit
Short Entries:
Wait for a candle to close below the opening range low
Enter short on the next candle (before 12:00 PM NY time)
Must be below moving average if using MA-based take profit
Risk Management
Stop Loss:
Long trades: Opening range low
Short trades: Opening range high
Take Profit Options:
Fixed Risk Reward: 1.5x the range size (customizable ratio)
Moving Average: Exit when price crosses back through MA
Both: Whichever comes first
Key Features
Trade Direction Options:
Long Only
Short Only
Both directions
Moving Average Filter:
Prevents entries that would immediately hit stop loss
Uses EMA/SMA/WMA/VWMA with customizable length
Acts as dynamic support/resistance
Time Restrictions:
No entries after 12:00 PM NY time (customizable cutoff)
One trade per direction per day
Daily reset of all variables
Visual Elements
Red/green lines showing opening range
Purple line for moving average
Entry and breakout signals with shapes
Take profit and stop loss levels plotted
Information table with current status
Strategy Logic Flow
Morning: Capture 9:30-9:45 range high/low
Wait: Monitor for breakout (previous candle close outside range)
Filter: Check MA condition if using MA-based exits
Enter: Trade on next candle after breakout
Manage: Exit at fixed TP, MA cross, or stop loss
Reset: Start fresh next trading day
This is a momentum-based breakout strategy that capitalizes on early market volatility while using the opening range as natural support/resistance levels.
MTF MACD 4-Color Momentum System🎯 Overview
The MTF MACD 4-Color Momentum System is an advanced MACD indicator that provides crystal-clear momentum visualization through an innovative 4-color state system. Unlike traditional MACD indicators that only show positive/negative values, this indicator identifies four distinct market states to help traders make more informed decisions.
📊 Key Features
1. Four-State Color System:
🟢 Lime: Above zero + Rising (Strong Bullish Momentum)
🟢 Dark Green: Above zero + Falling (Weakening Bullish Momentum)
🔴 Red: Below zero + Falling (Strong Bearish Momentum)
🔴 Maroon: Below zero + Rising (Weakening Bearish Momentum)
2. Multi-Timeframe Analysis:
View higher timeframe MACD on lower timeframe charts
Confirm trends across multiple timeframes
Reduce false signals with multi-timeframe confluence
3. Flexible Display Options:
Three visualization styles: Histogram, Columns, or Line
Toggle individual color states on/off
Customizable colors and line widths
4. Advanced Features:
Optional histogram smoothing to reduce noise
Zero-cross alerts with visual markers
Color state change alerts
Real-time value display
Customizable signal line overlay
💡 How to Use
1. Momentum Identification:
Lime bars indicate strong upward momentum - ideal for long entries
Dark green suggests momentum is slowing - consider taking profits
Red bars show strong downward momentum - ideal for short entries
Maroon indicates potential reversal brewing - prepare for direction change
2. Zero Line Crosses:
Blue triangles mark bullish crosses above zero
Pink triangles mark bearish crosses below zero
Use these as confirmation signals with other indicators
3. Multi-Timeframe Confirmation:
Set to higher timeframe (e.g., 4H on 15m chart)
Look for alignment between timeframes before entering trades
Avoid trades against higher timeframe momentum
⚙️ Settings Guide
MACD Parameters:
Fast EMA: 12 (default) - Adjust for more/less sensitivity
Slow EMA: 26 (default) - Standard MACD setting
Signal: 9 (default) - Smoothing period
Display Customization:
Choose between Histogram, Columns, or Line display
Enable/disable specific color states
Adjust visual properties to match your chart theme
Alerts:
Zero cross alerts for trend changes
Color state alerts for momentum shifts
📈 Trading Strategies
1. Momentum Continuation:
Enter longs when MACD turns lime (above zero + rising)
Enter shorts when MACD turns red (below zero + falling)
Exit when color shifts to "weakening" state
2. Reversal Trading:
Watch for maroon in downtrends (potential bottom)
Watch for dark green in uptrends (potential top)
Confirm with price action and support/resistance
3. Multi-Timeframe Confluence:
Use daily MACD on 1H chart for trend direction
Enter on lower timeframe signals in direction of higher timeframe
Avoid counter-trend trades when higher timeframe shows strong momentum
🎓 Pro Tips
Combine with volume indicators for confirmation
Use with support/resistance levels for better entries
Enable smoothing in choppy markets to reduce false signals
Pay attention to divergences between price and MACD
⚠️ Risk Disclaimer
This indicator is for educational purposes only. Always use proper risk management and combine with other analysis methods. Past performance does not guarantee future results.
Hull Moving Average RibbonGradient Wave HMA - Multi-Ribbon Hull Moving Average System
Overview
The Gradient Wave HMA is an advanced technical indicator that transforms Alan Hull's Hull Moving Average (HMA) into a dynamic multi-layered ribbon system. Unlike traditional moving average ribbons that use simple or exponential calculations, this indicator applies Hull's innovative lag-reduction formula across 12 different timeframes simultaneously, creating a visually striking gradient effect that flows with market momentum.
Technical Foundation
This indicator is built upon the Hull Moving Average, developed by Alan Hull in 2005. The HMA uses a weighted moving average calculation designed to almost eliminate lag while maintaining curve smoothness:
HMA = WMA(2*WMA(n/2) − WMA(n), sqrt(n))
Credit: Alan Hull (www.alanhull.com)
Key Features
Multi-Period Ribbon Structure
12 individual HMA lines with customizable periods
Preset configurations for different trading styles:
Fast: 3-30 period range (scalping/intraday)
Swing: 8-55 period range (swing trading)
Position: 20-100 period range (position trading)
Custom: User-defined periods
2. Neon Gradient Visualization
Bullish Gradient: Transitions from blue-purple to hot purple
Bearish Gradient: Flows from hot pink to purple-pink
Each line has a unique color in the spectrum
Gradient fills between lines create depth and visual flow
3. Advanced Alert System
Trend Reversal Alerts: Notifies when ribbon changes direction
Price Breakout Alerts: Triggers when price crosses the ribbon
Compression Alerts: Signals potential breakouts during consolidation
Expansion Alerts: Confirms strong trending conditions
Momentum Surge Alerts: Catches explosive moves early
How It Works
The indicator calculates 12 Hull Moving Averages, each with a different period length. The trend direction is determined by the middle HMA (6th line), which triggers the color change across the entire ribbon. When trending up, the ribbon displays a purple gradient; when trending down, it shifts to a pink gradient.
Trading Applications
1. Trend Identification
Ribbon color indicates overall trend direction
All lines moving in sync confirms strong trend
Mixed signals suggest choppy or transitioning markets
2. Dynamic Support/Resistance
In uptrends, the ribbon acts as moving support
In downtrends, it provides resistance levels
Multiple layers offer various strength levels
3. Momentum Analysis
Expanding ribbon = Increasing momentum
Contracting ribbon = Decreasing momentum/consolidation
Ribbon angle indicates trend strength
4. Trading Example
Advantages Over Traditional MAs
Reduced Lag: Hull's formula provides faster response than SMA/EMA ribbons
Visual Clarity: Gradient effect makes trend changes immediately visible
Multiple Timeframes: 12 periods provide comprehensive market view
Flexibility: Presets adapt to different trading styles
Best Practices
Use higher timeframes (4H, Daily) for position trading
Combine with volume indicators for confirmation
Watch for ribbon compression before major moves
Consider overall market conditions when interpreting signals
Customization Options
Adjust individual HMA periods
Fine-tune transparency for different backgrounds
Choose between WMA and EMA base calculations
The Gradient Wave HMA combines Alan Hull's breakthrough moving average formula with modern visualization techniques to create a powerful trend-following tool that's both technically sophisticated and visually intuitive.
Delta Volume Color CoderDelta Volume Color Coder - Smart Money Footprint Visualizer
OVERVIEW
The Delta Volume Color Coder is a clean, minimalist indicator that highlights candles with exceptional delta volume, helping you instantly identify where smart money is actively trading. Unlike complex volume indicators that clutter your chart, this tool simply colors candles when institutional-level volume appears, leaving your normal price action untouched.
WHAT IS DELTA VOLUME?
Delta volume represents the difference between buying and selling pressure within each candle. Positive delta indicates more aggressive buying, while negative delta shows stronger selling. When delta reaches extreme levels, it often signals institutional activity or significant market events.
KEY FEATURES
- Clean Chart Design - Only colors candles with significant delta volume
- No Chart Compression - Overlay indicator that doesn't distort price scales
- Smart Detection - Automatically calculates dynamic thresholds based on recent activity
- Customizable Thresholds - Adjust sensitivity to match your trading style
- Multiple Calculation Methods - Classic or Range-Based delta calculations
COLOR CODING (Default)
- White Candles - Extreme positive delta (massive institutional buying)
- Green Candles - High positive delta (strong buying pressure)
- Red Candles - High negative delta (strong selling pressure)
- Violet Candles - Extreme negative delta (massive institutional selling)
- Normal Candles - Unchanged (standard TradingView red/green)
HOW TO USE
1. Add to any chart - Works on all timeframes and instruments
2. Look for colored candles - These mark significant volume events
3. White/Violet candles often mark reversals or breakouts
4. Multiple colored candles in sequence indicate strong trends
5. Colored candles at support/resistance levels are especially significant
SETTINGS EXPLAINED
- Lookback Period (20) - Bars used to calculate average delta
- High Delta Threshold (1.5x) - Triggers green/red coloring
- Extreme Delta Threshold (2.5x) - Triggers white/violet coloring
- Delta Calculation - Classic (open/close) or Range Based (close position)
- Color Wicks - Option to color entire candle or just the body
- All colors fully customizable
TRADING APPLICATIONS
- Reversal Detection - White/violet candles often mark exhaustion points
- Breakout Confirmation - Colored candles on breakouts show conviction
- Support/Resistance - High delta at key levels indicates significance
- Trend Strength - Frequency of colored candles shows trend momentum
- Institutional Tracking - Extreme delta reveals where big players are active
BEST PRACTICES
- Lower timeframes (1-15m) - Use for scalping and day trading entries
- Higher timeframes (1H+) - Identify major accumulation/distribution
- Combine with price action - Most effective at key technical levels
- Watch for clusters - Multiple extreme candles = major event
- Volume confirmation - Extreme delta + high volume = highest significance
TIPS FOR SUCCESS
1. White candles after downtrends often mark bottoms
2. Violet candles after uptrends often mark tops
3. Consecutive colored candles confirm trend direction
4. Lack of colored candles = low volatility, potential breakout ahead
5. Extreme delta at round numbers indicates institutional interest
WHY THIS INDICATOR?
- Simple Yet Powerful - No complex analysis needed
- Instant Visual Feedback - See institutional activity at a glance
- Clean Charts - No overlays, lines, or clutter
- Real-Time Detection - Updates with each new candle
- Universal Application - Works on stocks, forex, crypto, futures
UNIQUE ADVANTAGES
Unlike traditional volume indicators that require separate panes or compress your chart, the Delta Volume Color Coder seamlessly integrates with your existing setup. It answers one simple question: "Where is the smart money trading RIGHT NOW?"
Perfect for traders who want institutional-level insights without the complexity. Just add to your chart and let the colors guide you to where the real action is happening.
Diagonal Support and Resistance Trend LinesA simple indicator to plot trend lines.
1. Adjust the "Pivot Lookback" (default: 20) to control pivot sensitivity. Larger values detect more significant pivots.
2. Adjust the "Max Trend Lines" (default: 4) to control how many support/resistance lines are drawn.
The indicator will plot:
1. Red dashed lines for resistance (based on pivot highs).
2. Green dashed lines for support (based on pivot lows).
3. Small red triangles above bars for pivot highs and green triangles below bars for pivot lows.
Ergodic Market Divergence (EMD)Ergodic Market Divergence (EMD)
Bridging Statistical Physics and Market Dynamics Through Ensemble Analysis
The Revolutionary Concept: When Physics Meets Trading
After months of research into ergodic theory—a fundamental principle in statistical mechanics—I've developed a trading system that identifies when markets transition between predictable and unpredictable states. This indicator doesn't just follow price; it analyzes whether current market behavior will persist or revert, giving traders a scientific edge in timing entries and exits.
The Core Innovation: Ergodic Theory Applied to Markets
What Makes Markets Ergodic or Non-Ergodic?
In statistical physics, ergodicity determines whether a system's future resembles its past. Applied to trading:
Ergodic Markets (Mean-Reverting)
- Time averages equal ensemble averages
- Historical patterns repeat reliably
- Price oscillates around equilibrium
- Traditional indicators work well
Non-Ergodic Markets (Trending)
- Path dependency dominates
- History doesn't predict future
- Price creates new equilibrium levels
- Momentum strategies excel
The Mathematical Framework
The Ergodic Score combines three critical divergences:
Ergodic Score = (Price Divergence × Market Stress + Return Divergence × 1000 + Volatility Divergence × 50) / 3
Where:
Price Divergence: How far current price deviates from market consensus
Return Divergence: Momentum differential between instrument and market
Volatility Divergence: Volatility regime misalignment
Market Stress: Adaptive multiplier based on current conditions
The Ensemble Analysis Revolution
Beyond Single-Instrument Analysis
Traditional indicators analyze one chart in isolation. EMD monitors multiple correlated markets simultaneously (SPY, QQQ, IWM, DIA) to detect systemic regime changes. This ensemble approach:
Reveals Hidden Divergences: Individual stocks may diverge from market consensus before major moves
Filters False Signals: Requires broader market confirmation
Identifies Regime Shifts: Detects when entire market structure changes
Provides Context: Shows if moves are isolated or systemic
Dynamic Threshold Adaptation
Unlike fixed-threshold systems, EMD's boundaries evolve with market conditions:
Base Threshold = SMA(Ergodic Score, Lookback × 3)
Adaptive Component = StDev(Ergodic Score, Lookback × 2) × Sensitivity
Final Threshold = Smoothed(Base + Adaptive)
This creates context-aware signals that remain effective across different market environments.
The Confidence Engine: Know Your Signal Quality
Multi-Factor Confidence Scoring
Every signal receives a confidence score based on:
Signal Clarity (0-35%): How decisively the ergodic threshold is crossed
Momentum Strength (0-25%): Rate of ergodic change
Volatility Alignment (0-20%): Whether volatility supports the signal
Market Quality (0-20%): Price convergence and path dependency factors
Real-Time Confidence Updates
The Live Confidence metric continuously updates, showing:
- Current opportunity quality
- Market state clarity
- Historical performance influence
- Signal recency boost
- Visual Intelligence System
Adaptive Ergodic Field Bands
Dynamic bands that expand and contract based on market state:
Primary Color: Ergodic state (mean-reverting)
Danger Color: Non-ergodic state (trending)
Band Width: Expected price movement range
Squeeze Indicators: Volatility compression warnings
Quantum Wave Ribbons
Triple EMA system (8, 21, 55) revealing market flow:
Compressed Ribbons: Consolidation imminent
Expanding Ribbons: Directional move developing
Color Coding: Matches current ergodic state
Phase Transition Signals
Clear entry/exit markers at regime changes:
Bull Signals: Ergodic restoration (mean reversion opportunity)
Bear Signals: Ergodic break (trend following opportunity)
Confidence Labels: Percentage showing signal quality
Visual Intensity: Stronger signals = deeper colors
Professional Dashboard Suite
Main Analytics Panel (Top Right)
Market State Monitor
- Current regime (Ergodic/Non-Ergodic)
- Ergodic score with threshold
- Path dependency strength
- Quantum coherence percentage
Divergence Metrics
- Price divergence with severity
- Volatility regime classification
- Strategy mode recommendation
- Signal strength indicator
Live Intelligence
- Real-time confidence score
- Color-coded risk levels
- Dynamic strategy suggestions
Performance Tracking (Left Panel)
Signal Analytics
- Total historical signals
- Win rate with W/L breakdown
- Current streak tracking
- Closed trade counter
Regime Analysis
- Current market behavior
- Bars since last signal
- Recommended actions
- Average confidence trends
Strategy Command Center (Bottom Right)
Adaptive Recommendations
- Active strategy mode
- Primary approach (mean reversion/momentum)
- Suggested indicators ("weapons")
- Entry/exit methodology
- Risk management guidance
- Comprehensive Input Guide
Core Algorithm Parameters
Analysis Period (10-100 bars)
Scalping (10-15): Ultra-responsive, more signals, higher noise
Day Trading (20-30): Balanced sensitivity and stability
Swing Trading (40-100): Smooth signals, major moves only Default: 20 - optimal for most timeframes
Divergence Threshold (0.5-5.0)
Hair Trigger (0.5-1.0): Catches every wiggle, many false signals
Balanced (1.5-2.5): Good signal-to-noise ratio
Conservative (3.0-5.0): Only extreme divergences Default: 1.5 - best risk/reward balance
Path Memory (20-200 bars)
Short Memory (20-50): Recent behavior focus, quick adaptation
Medium Memory (50-100): Balanced historical context
Long Memory (100-200): Emphasizes established patterns Default: 50 - captures sufficient history without lag
Signal Spacing (5-50 bars)
Aggressive (5-10): Allows rapid-fire signals
Normal (15-25): Prevents clustering, maintains flow
Conservative (30-50): Major setups only Default: 15 - optimal trade frequency
Ensemble Configuration
Select markets for consensus analysis:
SPY: Broad market sentiment
QQQ: Technology leadership
IWM: Small-cap risk appetite
DIA: Blue-chip stability
More instruments = stronger consensus but potentially diluted signals
Visual Customization
Color Themes (6 professional options):
Quantum: Cyan/Pink - Modern trading aesthetic
Matrix: Green/Red - Classic terminal look
Heat: Blue/Red - Temperature metaphor
Neon: Cyan/Magenta - High contrast
Ocean: Turquoise/Coral - Calming palette
Sunset: Red-orange/Teal - Warm gradients
Display Controls:
- Toggle each visual component
- Adjust transparency levels
- Scale dashboard text
- Show/hide confidence scores
- Trading Strategies by Market State
- Ergodic State Strategy (Primary Color Bands)
Market Characteristics
- Price oscillates predictably
- Support/resistance hold
- Volume patterns repeat
- Mean reversion dominates
Optimal Approach
Entry: Fade moves at band extremes
Target: Middle band (equilibrium)
Stop: Just beyond outer bands
Size: Full confidence-based position
Recommended Tools
- RSI for oversold/overbought
- Bollinger Bands for extremes
- Volume profile for levels
- Non-Ergodic State Strategy (Danger Color Bands)
Market Characteristics
- Price trends persistently
- Levels break decisively
- Volume confirms direction
- Momentum accelerates
Optimal Approach
Entry: Breakout from bands
Target: Trail with expanding bands
Stop: Inside opposite band
Size: Scale in with trend
Recommended Tools
- Moving average alignment
- ADX for trend strength
- MACD for momentum
- Advanced Features Explained
Quantum Coherence Metric
Measures phase alignment between individual and ensemble behavior:
80-100%: Perfect sync - strong mean reversion setup
50-80%: Moderate alignment - mixed signals
0-50%: Decoherence - trending behavior likely
Path Dependency Analysis
Quantifies how much history influences current price:
Low (<30%): Technical patterns reliable
Medium (30-50%): Mixed influences
High (>50%): Fundamental shift occurring
Volatility Regime Classification
Contextualizes current volatility:
Normal: Standard strategies apply
Elevated: Widen stops, reduce size
Extreme: Defensive mode required
Signal Strength Indicator
Real-time opportunity quality:
- Distance from threshold
- Momentum acceleration
- Cross-validation factors
Risk Management Framework
Position Sizing by Confidence
90%+ confidence = 100% position size
70-90% confidence = 75% position size
50-70% confidence = 50% position size
<50% confidence = 25% or skip
Dynamic Stop Placement
Ergodic State: ATR × 1.0 from entry
Non-Ergodic State: ATR × 2.0 from entry
Volatility Adjustment: Multiply by current regime
Multi-Timeframe Alignment
- Check higher timeframe regime
- Confirm ensemble consensus
- Verify volume participation
- Align with major levels
What Makes EMD Unique
Original Contributions
First Ergodic Theory Trading Application: Transforms abstract physics into practical signals
Ensemble Market Analysis: Revolutionary multi-market divergence system
Adaptive Confidence Engine: Institutional-grade signal quality metrics
Quantum Coherence: Novel market alignment measurement
Smart Signal Management: Prevents clustering while maintaining responsiveness
Technical Innovations
Dynamic Threshold Adaptation: Self-adjusting sensitivity
Path Memory Integration: Historical dependency weighting
Stress-Adjusted Scoring: Market condition normalization
Real-Time Performance Tracking: Built-in strategy analytics
Optimization Guidelines
By Timeframe
Scalping (1-5 min)
Period: 10-15
Threshold: 0.5-1.0
Memory: 20-30
Spacing: 5-10
Day Trading (5-60 min)
Period: 20-30
Threshold: 1.5-2.5
Memory: 40-60
Spacing: 15-20
Swing Trading (1H-1D)
Period: 40-60
Threshold: 2.0-3.0
Memory: 80-120
Spacing: 25-35
Position Trading (1D-1W)
Period: 60-100
Threshold: 3.0-5.0
Memory: 100-200
Spacing: 40-50
By Market Condition
Trending Markets
- Increase threshold
- Extend memory
- Focus on breaks
Ranging Markets
- Decrease threshold
- Shorten memory
- Focus on restores
Volatile Markets
- Increase spacing
- Raise confidence requirement
- Reduce position size
- Integration with Other Analysis
- Complementary Indicators
For Ergodic States
- RSI divergences
- Bollinger Band squeezes
- Volume profile nodes
- Support/resistance levels
For Non-Ergodic States
- Moving average ribbons
- Trend strength indicators
- Momentum oscillators
- Breakout patterns
- Fundamental Alignment
- Check economic calendar
- Monitor sector rotation
- Consider market themes
- Evaluate risk sentiment
Troubleshooting Guide
Too Many Signals:
- Increase threshold
- Extend signal spacing
- Raise confidence minimum
Missing Opportunities
- Decrease threshold
- Reduce signal spacing
- Check ensemble settings
Poor Win Rate
- Verify timeframe alignment
- Confirm volume participation
- Review risk management
Disclaimer
This indicator is for educational and informational purposes only. It does not constitute financial advice. Trading involves substantial risk of loss and is not suitable for all investors. Past performance does not guarantee future results.
The ergodic framework provides unique market insights but cannot predict future price movements with certainty. Always use proper risk management, conduct your own analysis, and never risk more than you can afford to lose.
This tool should complement, not replace, comprehensive trading strategies and sound judgment. Markets remain inherently unpredictable despite advanced analysis techniques.
Transform market chaos into trading clarity with Ergodic Market Divergence.
Created with passion for the TradingView community
Trade with insight. Trade with anticipation.
— Dskyz , for DAFE Trading Systems
Algo Structure [ValiantTrader_]Explanation of the "Algo Structure" Trading Indicator
This Pine Script indicator, created by ValiantTrader_, is a multi-timeframe swing analysis tool that helps traders identify key price levels and market structure across different timeframes. Here's how it works and how traders can use it:
Core Components
1. Multi-Timeframe Swing Analysis
The indicator tracks swing highs and lows across:
The current chart timeframe
A higher timeframe (weekly by default)
An even higher timeframe (monthly by default)
2. Swing Detection Logic
Current timeframe swings: Identified when price makes a 3-bar high/low pattern
Higher timeframe swings: Uses the highest high/lowest low of the last 3 bars on those timeframes
3. Visual Elements
Horizontal lines marking swing points
Labels showing the timeframe and percentage distance from current price
An information table summarizing key levels
How Traders Use This Indicator
1. Identifying Key Levels
The indicator draws recent swing highs (red) and swing lows (green)
These levels act as potential support/resistance areas
Traders watch for price reactions at these levels
2. Multi-Timeframe Analysis
By seeing swings from higher timeframes (weekly, monthly), traders can:
Identify more significant support/resistance zones
Understand the broader market context
Spot confluence areas where multiple timeframes align
3. Measuring Price Distance
The percentage display shows how far current price is from each swing level
Helps assess potential reward/risk at current levels
Shows volatility between swings (wider % = more volatile moves)
4. Table Summary
The info table provides a quick reference for:
Exact price levels of swings
Percentage ranges between highs and lows
Comparison across timeframes
5. Trading Applications
Breakout trading: When price moves beyond a swing high/low
Mean reversion: Trading bounces between swing levels
Trend confirmation: Higher highs/lows in multiple timeframes confirm trends
Support/resistance trading: Entering trades at swing levels with other confirmation
Customization Options
Traders can adjust:
The higher timeframes analyzed
Whether to show the timeframe labels
Whether to display swing levels
Whether to show the info table
The indicator also includes price alerts for new swing highs/lows on the current timeframe, allowing traders to get notifications when market structure changes.
This tool is particularly valuable for traders who incorporate multi-timeframe analysis into their strategy, helping them visualize important price levels across different time perspectives
X OC StoryOverview
The "X OC Story" is a Pine Script indicator that visualizes the Open-Close range of a higher timeframe (HTF) candle on a lower timeframe chart. By plotting dynamic lines to represent the open and close prices of the previous HTF bar, this tool gives traders a clearer context of recent market sentiment and structural shifts. It includes color-coded visual fills to distinguish between bullish and bearish candles and offers the option to display only the most recent range.
Concept
1. Multi-Timeframe Analysis (MTF)
At its core, this indicator utilizes multi-timeframe analysis by requesting open, high, low, and close values from a user-defined HTF (input.timeframe('60')) and applying them to a lower timeframe chart. This allows traders to incorporate higher timeframe information without switching chart intervals.
2. Timeframe Change Detection
The indicator detects when a new HTF candle begins which lets the script know when to capture and visualize a new set of HTF open-close values.
3. Encapsulation with Custom Type (candles)
The script defines a custom type candles to encapsulate OHLC values of the previous HTF candle. This improves code readability and structure by keeping all relevant HTF data in a single object.
4. Dynamic Line Drawing
When a new HTF candle is detected, two horizontal lines are drawn for Open and Close. These are updated dynamically on each bar to extend across the entire HTF candle range on the lower timeframe chart.
5. Visual Highlighting
a shaded area is drawn between the open and close lines which help highlight market structure without overwhelming the chart.
6. Selective Persistence of Drawings
Users can enable deleteOld to show only the most recent HTF open-close range. When enabled, previously drawn lines are tracked in an array and deleted upon creation of a new range, keeping the chart clean and focused.
How a Trader Might Use This Tool
Contextual Decision-Making
This indicator helps traders see where the market is trading relative to the previous HTF candle:
Trading above the HTF close may suggest bullish continuation
Trading below the HTF open may indicate a bearish reversal or breakdown
Confluence Zones
The open and close lines of HTF candles often act as support/resistance levels. A trader might:
Watch for rejections or breakouts at these levels
Use them in confluence with intraday setups or trend indicators
Scalping or Intraday Strategy Support
Since this visual is drawn on a lower timeframe (like 5m or 15m), it’s particularly useful for scalpers or day traders who want to factor in HTF sentiment without leaving their active chart.
Cleaner Charting
With the optional setting to display only the most recent range (deleteOld), traders avoid clutter and focus on the current actionable zone.
Summary
“X OC Story” is a clean, visual, and effective multi-timeframe utility that helps traders:
Identify HTF open-close context
Highlight possible support/resistance zones
Analyze sentiment and structure visually
It’s an excellent addition to any discretionary trader’s toolkit for improved context awareness and informed entries or exits.
Quantum State Superposition Indicator (QSSI)Quantum State Superposition Indicator (QSSI) - Where Physics Meets Finance
The Quantum Revolution in Market Analysis
After months of research into quantum mechanics and its applications to financial markets, I'm thrilled to present the Quantum State Superposition Indicator (QSSI) - a groundbreaking approach that models price action through the lens of quantum physics. This isn't just another technical indicator; it's a paradigm shift in how we understand market behavior.
The Theoretical Foundation
Quantum Superposition in Markets
In quantum mechanics, particles exist in multiple states simultaneously until observed. Similarly, markets exist in a superposition of potential states (bullish, bearish, neutral) until a significant volume event "collapses" the wave function into a definitive direction.
The mathematical framework:
Wave Function (Ψ): Represents the market's quantum state as a weighted sum of all possible states:
Ψ = Σ(αᵢ × Sᵢ)
Where αᵢ are probability amplitudes and Sᵢ are individual quantum states.
Probability Amplitudes: Calculated using the Born rule, normalized so Σ|αᵢ|² = 1
Observation Operator: Volume/Average Volume ratio determines observation strength
The Five Quantum States
Momentum State: Short-term price velocity (EMA of returns)
Mean Reversion State: Deviation from equilibrium (normalized z-score)
Volatility Expansion State: ATR relative to historical average
Trend Continuation State: Long-term price positioning
Chaos State: Volatility of volatility (market uncertainty)
Each state contributes to the overall wave function based on current market conditions.
Wave Function Collapse
When volume exceeds the observation threshold (default 1.5x average), the wave function "collapses," committing the market to a direction. This models how institutional volume forces markets out of uncertainty into trending states.
Collapse Detection Formula:
Collapse = Volume > (Threshold × Average Volume)
Direction = Sign(Ψ) at collapse moment
Advanced Quantum Concepts
Heisenberg Uncertainty Principle
The indicator calculates market uncertainty as the product of price and momentum
uncertainties:
ΔP × ΔM = ℏ (market uncertainty constant)
This manifests as dynamic uncertainty bands that widen during unstable periods.
Quantum Tunneling
Calculates the probability of price "tunneling" through resistance/support barriers:
P(tunnel) = e^(-2×|barrier_height|×√coherence_length)
Unlike classical technical analysis, this gives probability of breakouts before they occur.
Entanglement
Measures the quantum correlation between price and volume:
Entanglement = |Correlation(Price, Volume, lookback)|
High entanglement suggests coordinated institutional activity.
Decoherence
When market states lose quantum properties and behave classically:
Decoherence = 1 - Σ(amplitude²)
Indicates trend emergence from quantum uncertainty.
Visual Innovation
Probability Clouds
Three-tier probability distributions visualize market uncertainty:
Inner Cloud (68%): One standard deviation - most likely price range
Middle Cloud (95%): Two standard deviations - probable extremes
Outer Cloud (99.7%): Three standard deviations - tail risk zones
Cloud width directly represents market uncertainty - wider clouds signal higher entropy states.
Quantum State Visualization
Colored dots represent individual quantum states:
Green: Momentum state strength
Red: Mean reversion state strength
Yellow: Volatility state strength
Dot brightness indicates amplitude (influence) of each state.
Collapse Events
Aqua Diamonds (Above): Bullish collapse - upward commitment
Pink Diamonds (Below): Bearish collapse - downward commitment
These mark precise moments when markets exit superposition.
Implementation Details
Core Calculations
Feature Extraction: Normalize price returns, volume ratios, and volatility measures
State Calculation: Compute each quantum state's value
Amplitude Assignment: Weight states by market conditions and observation strength
Wave Function: Sum weighted states for final market quantum state
Visualization: Transform quantum values to price space for display
Performance Optimization
- Efficient array operations for state calculations
- Single-pass normalization algorithms
- Optimized correlation calculations for entanglement
- Smart label management to prevent visual clutter
Trading Applications:
Signal Generation
Bullish Signals:
- Positive wave function during collapse
- High tunneling probability at support
- Coherent market state with bullish bias
Bearish Signals:
- Negative wave function during collapse
- High tunneling probability at resistance
- Decoherent state transitioning bearish
Risk Management
Uncertainty-Based Position Sizing:
Narrow clouds: Normal position size
Wide clouds: Reduced position size
Extreme uncertainty: Stay flat
Quantum Stop Losses:
- Place stops outside probability clouds
- Adjust for Heisenberg uncertainty
- Respect quantum tunneling levels
Market Regime Recognition
Quantum Coherent (Superposed):
- Market in multiple states
- Avoid directional trades
- Prepare for collapse
Quantum Decoherent (Classical):
-Clear trend emergence
- Follow directional signals
- Traditional analysis applies
Advanced Features
Adaptive Dashboards
Quantum State Panel: Real-time wave function, dominant state, and coherence status
Performance Metrics: Win rate, signal frequency, and regime analysis
Information Guide: Comprehensive explanation of all quantum concepts
- All dashboards feature adjustable sizing for different screen resolutions.
Multi-Timeframe Quantum Analysis
The indicator adapts to any timeframe:
Scalping (1-5m): Short coherence length, sensitive thresholds
Day Trading (15m-1H): Balanced parameters
Swing Trading (4H-1D): Long coherence, stable states
Alert System
Sophisticated alerts for:
- Wave function collapse events
- Decoherence transitions
- High tunneling probability
- Strong entanglement detection
Originality & Innovation
This indicator introduces several firsts:
Quantum Superposition: First to model markets as quantum systems
Wave Function Collapse: Original volume-triggered state commitment
Tunneling Probability: Novel breakout prediction method
Entanglement Metrics: Unique price-volume quantum correlation
Probability Clouds: Revolutionary uncertainty visualization
Development Journey
Creating QSSI required:
- Deep study of quantum mechanics principles
- Translation of physics equations to market context
- Extensive backtesting across multiple markets
- UI/UX optimization for trader accessibility
- Performance optimization for real-time calculation
- The result bridges cutting-edge physics with practical trading.
Best Practices
Parameter Optimization
Quantum States (2-5):
- 2-3 for simple markets (forex majors)
- 4-5 for complex markets (indices, crypto)
Coherence Length (10-50):
- Lower for fast markets
- Higher for stable markets
Observation Threshold (1.0-3.0):
- Lower for active markets
- Higher for thin markets
Signal Confirmation
Always confirm quantum signals with:
- Market structure (support/resistance)
- Volume patterns
- Correlated assets
- Fundamental context
Risk Guidelines
- Never risk more than 2% per trade
- Respect probability cloud boundaries
- Exit on decoherence shifts
- Scale with confidence levels
Educational Value
QSSI teaches advanced concepts:
- Quantum mechanics applications
- Probability theory
- Non-linear dynamics
- Risk management
- Market microstructure
Perfect for traders seeking deeper market understanding.
Disclaimer
This indicator is for educational and research purposes only. While quantum mechanics provides a fascinating framework for market analysis, no indicator can predict future prices with certainty. The probabilistic nature of both quantum mechanics and markets means outcomes are inherently uncertain.
Always use proper risk management, conduct thorough analysis, and never risk more than you can afford to lose. Past performance does not guarantee future results.
Conclusion
The Quantum State Superposition Indicator represents a revolutionary approach to market analysis, bringing institutional-grade quantum modeling to retail traders. By viewing markets through the lens of quantum mechanics, we gain unique insights into uncertainty, probability, and state transitions that classical indicators miss.
Whether you're a physicist interested in finance or a trader seeking cutting-edge tools, QSSI opens new dimensions in market analysis.
"The market, like Schrödinger's cat, exists in multiple states until observed through volume."
* As you may have noticed, the past two indicators I've released (Lorentzian Classification and Quantum State Superposition) are designed with strategy implementation in mind. I'm currently developing a stable execution platform that's completely unique and moves away from traditional ATR-based position sizing and stop loss systems. I've found ATR-based approaches to be unreliable in volatile markets and regime transitions - they often lag behind actual market conditions and can lead to premature exits or oversized positions during volatility spikes.
The goal is to create something that adapts to market conditions in real-time using the quantum and relativistic principles we've been exploring. Hopefully I'll have something groundbreaking to share soon. Stay tuned!
Trade with quantum insight. Trade with QSSI .
— Dskyz , for DAFE Trading Systems
Lorentzian Classification - Advanced Trading DashboardLorentzian Classification - Relativistic Market Analysis
A Journey from Theory to Trading Reality
What began as fascination with Einstein's relativity and Lorentzian geometry has evolved into a practical trading tool that bridges theoretical physics and market dynamics. This indicator represents months of wrestling with complex mathematical concepts, debugging intricate algorithms, and transforming abstract theory into actionable trading signals.
The Theoretical Foundation
Lorentzian Distance in Market Space
Traditional Euclidean distance treats all feature differences equally, but markets don't behave uniformly. Lorentzian distance, borrowed from spacetime geometry, provides a more nuanced similarity measure:
d(x,y) = Σ ln(1 + |xi - yi|)
This logarithmic formulation naturally handles:
Scale invariance: Large price moves don't overwhelm small but significant patterns
Outlier robustness: Extreme values are dampened rather than dominating
Non-linear relationships: Captures market behavior better than linear metrics
K-Nearest Neighbors with Relativistic Weighting
The algorithm searches historical market states for patterns similar to current conditions. Each neighbor receives weight inversely proportional to its Lorentzian distance:
w = 1 / (1 + distance)
This creates a "gravitational" effect where closer patterns have stronger influence on predictions.
The Implementation Challenge
Creating meaningful market features required extensive experimentation:
Price Features: Multi-timeframe momentum (1, 2, 3, 5, 8 bar lookbacks) Volume Features: Relative volume analysis against 20-period average
Volatility Features: ATR and Bollinger Band width normalization Momentum Features: RSI deviation from neutral and MACD/price ratio
Each feature undergoes min-max normalization to ensure equal weighting in distance calculations.
The Prediction Mechanism
For each current market state:
Feature Vector Construction: 12-dimensional representation of market conditions
Historical Search: Scan lookback period for similar patterns using Lorentzian distance
Neighbor Selection: Identify K nearest historical matches
Outcome Analysis: Examine what happened N bars after each match
Weighted Prediction: Combine outcomes using distance-based weights
Confidence Calculation: Measure agreement between neighbors
Technical Hurdles Overcome
Array Management: Complex indexing to prevent look-ahead bias
Distance Calculations: Optimizing nested loops for performance
Memory Constraints: Balancing lookback depth with computational limits
Signal Filtering: Preventing clustering of identical signals
Advanced Dashboard System
Main Control Panel
The primary dashboard provides real-time market intelligence:
Signal Status: Current prediction with confidence percentage
Neighbor Analysis: How many historical patterns match current conditions
Market Regime: Trend strength, volatility, and volume analysis
Temporal Context: Real-time updates with timestamp
Performance Analytics
Comprehensive tracking system monitors:
Win Rate: Percentage of successful predictions
Signal Count: Total predictions generated
Streak Analysis: Current winning/losing sequence
Drawdown Monitoring: Maximum equity decline
Sharpe Approximation: Risk-adjusted performance estimate
Risk Assessment Panel
Multi-dimensional risk analysis:
RSI Positioning: Overbought/oversold conditions
ATR Percentage: Current volatility relative to price
Bollinger Position: Price location within volatility bands
MACD Alignment: Momentum confirmation
Confidence Heatmap
Visual representation of prediction reliability:
Historical Confidence: Last 10 periods of prediction certainty
Strength Analysis: Magnitude of prediction values over time
Pattern Recognition: Color-coded confidence levels for quick assessment
Input Parameters Deep Dive
Core Algorithm Settings
K Nearest Neighbors (1-20): More neighbors create smoother but less responsive signals. Optimal range 5-8 for most markets.
Historical Lookback (50-500): Deeper history improves pattern recognition but reduces adaptability. 100-200 bars optimal for most timeframes.
Feature Window (5-30): Longer windows capture more context but reduce sensitivity. Match to your trading timeframe.
Feature Selection
Price Changes: Essential for momentum and reversal detection Volume Profile: Critical for institutional activity recognition Volatility Measures: Key for regime change detection Momentum Indicators: Vital for trend confirmation
Signal Generation
Prediction Horizon (1-20): How far ahead to predict. Shorter horizons for scalping, longer for swing trading.
Signal Threshold (0.5-0.9): Confidence required for signal generation. Higher values reduce false signals but may miss opportunities.
Smoothing (1-10): EMA applied to raw predictions. More smoothing reduces noise but increases lag.
Visual Design Philosophy
Color Themes
Professional: Corporate blue/red for institutional environments Neon: Cyberpunk cyan/magenta for modern aesthetics
Matrix: Green/red hacker-inspired palette Classic: Traditional trading colors
Information Hierarchy
The dashboard system prioritizes information by importance:
Primary Signals: Largest, most prominent display
Confidence Metrics: Secondary but clearly visible
Supporting Data: Detailed but unobtrusive
Historical Context: Available but not distracting
Trading Applications
Signal Interpretation
Long Signals: Prediction > threshold with high confidence
Look for volume confirmation
- Check trend alignment
- Verify support levels
Short Signals: Prediction < -threshold with high confidence
Confirm with resistance levels
- Check for distribution patterns
- Verify momentum divergence
- Market Regime Adaptation
Trending Markets: Higher confidence in directional signals
Ranging Markets: Focus on reversal signals at extremes
Volatile Markets: Require higher confidence thresholds
Low Volume: Reduce position sizes, increase caution
Risk Management Integration
Confidence-Based Sizing: Larger positions for higher confidence signals
Regime-Aware Stops: Wider stops in volatile regimes
Multi-Timeframe Confirmation: Align signals across timeframes
Volume Confirmation: Require volume support for major signals
Originality and Innovation
This indicator represents genuine innovation in several areas:
Mathematical Approach
First application of Lorentzian geometry to market pattern recognition. Unlike Euclidean-based systems, this naturally handles market non-linearities.
Feature Engineering
Sophisticated multi-dimensional feature space combining price, volume, volatility, and momentum in normalized form.
Visualization System
Professional-grade dashboard system providing comprehensive market intelligence in intuitive format.
Performance Tracking
Real-time performance analytics typically found only in institutional trading systems.
Development Journey
Creating this indicator involved overcoming numerous technical challenges:
Mathematical Complexity: Translating theoretical concepts into practical code
Performance Optimization: Balancing accuracy with computational efficiency
User Interface Design: Making complex data accessible and actionable
Signal Quality: Filtering noise while maintaining responsiveness
The result is a tool that brings institutional-grade analytics to individual traders while maintaining the theoretical rigor of its mathematical foundation.
Best Practices
- Parameter Optimization
- Start with default settings and adjust based on:
Market Characteristics: Volatile vs. stable
Trading Timeframe: Scalping vs. swing trading
Risk Tolerance: Conservative vs. aggressive
Signal Confirmation
Never trade on Lorentzian signals alone:
Price Action: Confirm with support/resistance
Volume: Verify with volume analysis
Multiple Timeframes: Check higher timeframe alignment
Market Context: Consider overall market conditions
Risk Management
Position Sizing: Scale with confidence levels
Stop Losses: Adapt to market volatility
Profit Targets: Based on historical performance
Maximum Risk: Never exceed 2-3% per trade
Disclaimer
This indicator is for educational and research purposes only. It does not constitute financial advice or guarantee profitable trading results. The Lorentzian classification system reveals market patterns but cannot predict future price movements with certainty. Always use proper risk management, conduct your own analysis, and never risk more than you can afford to lose.
Market dynamics are inherently uncertain, and past performance does not guarantee future results. This tool should be used as part of a comprehensive trading strategy, not as a standalone solution.
Bringing the elegance of relativistic geometry to market analysis through sophisticated pattern recognition and intuitive visualization.
Thank you for sharing the idea. You're more than a follower, you're a leader!
@vasanthgautham1221
Trade with precision. Trade with insight.
— Dskyz , for DAFE Trading Systems
