Fear Greed RangesFear Greed Ranges Indicator: A Practical Guide to Market Sentiment Analysis
Introduction: Understanding Market Psychology
The "Fear Greed Ranges" indicator is a specialized technical analysis tool designed to visualize market sentiment through the lens of the Relative Strength Index (RSI). Unlike traditional RSI displays that show only a line graph, this indicator transforms raw RSI data into intuitive, color-coded zones that immediately signal whether markets are driven by fear, greed, or balanced sentiment. By providing this visual context, it helps traders identify potential turning points and manage risk more effectively.
Rational Integration: Why RSI Forms the Core
The indicator's foundation rests on the well-established RSI oscillator, chosen for several compelling reasons. First, RSI has stood the test of time since its development by J. Welles Wilder Jr. in 1978, with decades of empirical validation across various asset classes. Second, its mathematical construction—comparing the magnitude of recent gains to recent losses—directly measures momentum, which often precedes price reversals at extremes. Third, RSI's bounded nature (0-100 range) makes it ideal for creating clearly defined zones without subjective interpretation.
The integration transforms this numerical oscillator into a spatial visualization system. Rather than simply reading RSI values, traders can immediately perceive market conditions through color psychology: red triggers caution, green suggests opportunity, and yellow indicates neutrality. This multi-sensory approach reduces cognitive load during fast-moving markets and helps overcome confirmation bias that might occur when interpreting raw numbers.
Component Synergy: How the System Works Together
The indicator comprises three interconnected layers that create a unified analytical framework:
Core Calculation Layer: The traditional RSI calculation processes price data using the specified period length (default 14 periods). This generates the fundamental sentiment metric that drives all subsequent visualizations. The RSI calculation serves as the "brain" of the indicator, continuously analyzing market momentum.
Sentiment Classification Layer: This layer applies threshold logic to categorize each RSI reading into one of three emotional states. Readings above 70 are classified as "Greed" (market potentially overbought), below 30 as "Fear" (market potentially oversold), and between 30-70 as "Neutral" (balanced market conditions). These thresholds are based on the conventional RSI interpretation framework that has been widely adopted in technical analysis.
Visual Translation Layer: The most innovative aspect transforms numerical classifications into immediate visual cues. The colored ribbon area creates a "sentiment atmosphere" around price action, while the background tint provides subtle contextual framing. Horizontal reference lines at 30, 50, and 70 offer precise anchoring points, and the floating label provides real-time status updates. These elements work in concert: the ribbon shows sentiment intensity, the background provides persistent context, and the reference lines offer precise measurement points.
Practical Application: How to Use the Indicator Effectively
For optimal results, traders should incorporate this tool into a comprehensive analysis framework:
Initial Setup: Apply the indicator to any financial chart (stocks, forex, cryptocurrencies, etc.) using the default 14-period setting for general purposes. For shorter timeframes, consider reducing the period to 10; for longer-term analysis, increase to 20-25 periods.
Signal Interpretation:
When the ribbon turns red and the background tints crimson, exercise caution with new long positions and consider profit-taking on existing holdings.
Green zones may indicate accumulation opportunities, particularly if accompanied by bullish divergence (price making lower lows while RSI makes higher lows).
Yellow areas suggest normal market fluctuation where trend-following strategies may be more appropriate than reversal anticipation.
Confirmation Protocol: Always wait for additional confirmation before acting on extreme readings. For greed zone signals, look for bearish candlestick patterns, resistance at key price levels, or decreasing volume. For fear zone signals, watch for bullish reversal patterns, support levels holding, or increasing volume on down moves.
Timeframe Harmony: Analyze multiple timeframes simultaneously. A greed signal on a daily chart carries more weight than one on a 15-minute chart. Look for alignment across timeframes for higher-probability setups.
Alert Utilization: Enable the built-in alert system to receive notifications when sentiment zones change, ensuring you never miss potential opportunities or risk scenarios.
Original Contribution: What Sets This Indicator Apart
While RSI indicators are ubiquitous, the "Fear Greed Ranges" implementation offers several distinctive advantages:
Cognitive Efficiency: By converting numerical data into immediate visual perception, the indicator reduces the mental processing required to assess market conditions. Traders can glance at a chart and instantly understand the sentiment landscape without calculating or interpreting raw values.
Contextual Persistence: The colored background maintains a subtle but constant reminder of the prevailing sentiment, preventing the common pitfall of overlooking extreme conditions that might develop gradually.
Dual-Layer Communication: The system operates on both conscious (reference lines, labels) and subconscious (color psychology) levels, engaging multiple cognitive pathways for more reliable signal recognition.
Integrated Risk Framework: By explicitly naming emotional extremes ("Fear" and "Greed"), the indicator constantly reminds traders of the psychological forces driving markets, encouraging more disciplined decision-making.
Important Considerations and Limitations
No technical indicator guarantees future performance, and this tool should form only one component of a comprehensive trading strategy. Several critical factors require attention:
Market Context Matters: During strong trending markets, RSI can remain in extreme zones for extended periods without immediate reversal. In such conditions, the indicator signals strength rather than imminent reversal.
Volatility Adjustments: Highly volatile instruments may generate frequent zone changes that could lead to overtrading if not filtered appropriately.
Complementary Tools: This indicator works best when combined with price action analysis, volume studies, support/resistance levels, and fundamental factors where applicable.
Personal Adaptation: Traders should backtest the indicator on their preferred markets and timeframes to understand its characteristics before live implementation, potentially adjusting the RSI period or zone thresholds to match specific instrument behaviors.
The "Fear Greed Ranges" indicator serves as a visual translator of market psychology, converting mathematical momentum readings into intuitive emotional landscapes. By making RSI interpretation more immediate and accessible, it helps traders maintain objectivity during emotionally charged market conditions and supports more disciplined execution of their trading strategies. Remember that successful trading involves risk management, continuous learning, and adapting tools to your individual approach—this indicator provides one lens through which to view the markets, not a complete trading system in itself.
"range" için komut dosyalarını ara
Aivance Opening Range & Vol FactorAivance Opening Range & Volume Factor
Overview
The Aivance Opening Range & Volume Factor is a comprehensive tool designed for Day Traders and Scalpers who rely on the "Opening Drive" or "Opening Range Breakout" (ORB) strategies.
The first candle of the trading session often sets the tone for the entire day. This indicator not only visualizes the price action of that critical first candle but also contextualizes the Volume to help you determine if there is enough institutional participation to sustain a trend.
Key Features
1. Opening Volume Factor
Unlike standard volume indicators, this tool calculates a specific Volume Factor for the opening candle:
Formula: (Volume of 1st Candle / Total Volume of Previous Day) * 100
Why it matters: A high Volume Factor (thresholds vary significantly depending on the chart timeframe and asset) suggests strong institutional interest immediately at the open. This often increases the probability of a sustained trend day rather than a choppy range day.
2. Automatic Session Detection
No manual time inputs are required.
The indicator uses time("D") to automatically detect the start of the trading day.
RTH vs. ETH: It adapts to your chart settings. If you use "Regular Trading Hours" (RTH), it marks the 09:30 NY open. If you use "Extended Trading Hours" (ETH), it marks the pre-market open.
3. Visual Opening Range
Box & Lines: Draws a box highlighting the High/Low and the Body (Open/Close) of the opening candle.
Extension: Extends support/resistance lines across the session to help identify breakouts or retests of the opening range later in the day.
4. Smart "Pullback" Logic (Optional)
This script includes a unique filter called "Show only on Pullback":
Default (False): The range is drawn immediately when the first candle closes.
Enabled (True): The range is hidden until the market prints a candle in the opposite direction of the opening move.
Strategy: This helps filter out impulsive moves and encourages trading the "retest" or the failure of the initial drive, rather than chasing the first tick.
How to Use
Trend Confirmation: Look for a breakout of the Opening Box combined with a high Volume Factor.
Support/Resistance: Use the extended gray lines (High/Low of the first candle) as key pivot points for stop-losses or entry targets.
Context: Compare the Volume Factor across different days to establish a baseline for your specific asset (e.g., what constitutes "High Volume" for NQ vs. ES vs. AAPL).
Settings
Colors: Fully customizable colors for Long (Bullish) and Short (Bearish) opening ranges.
Volume Factor: Toggle the text label on/off and adjust size/color.
Logic: Toggle the "Pullback" requirement on/off.
Disclaimer: This tool is for informational purposes only and does not constitute financial advice. Always manage your risk.
eBacktesting - Learning: BreakoutseBacktesting - Learning: Breakouts highlights ranges & breakout behaviors in a clean, visual way.
It automatically:
- Detects consolidation ranges (tight price action) and draws a range box
- Marks a breakout only when a candle CLOSES outside the range (no wick-only breakouts)
Adds a label on the breakout candle (↑ bullish breakout / ↓ bearish breakout)
These indicators are built to pair perfectly with the eBacktesting extension, where traders can practice these concepts step-by-step. Backtesting concepts visually like this is one of the fastest ways to learn, build confidence, and improve trading performance.
Educational use only. Not financial advice.
Sessions + Prev + PDH/PDL + Killzones SuiteDescription
This indicator is designed to provide time-based and price-based market context by combining session ranges with commonly referenced prior levels into a single, unified framework.
The purpose of the script is contextual analysis, not signal generation.
What the script does
The script tracks and plots the following elements directly on the price chart:
• High and Low ranges for multiple trading sessions (Asia, London, New York morning, and New York afternoon)
• High and Low levels from the previous occurrence of each session
• Prior Day High (PDH) and Prior Day Low (PDL)
• Optional session “killzone” boxes that visually mark active session time windows
All calculations are performed using time-based session boundaries and price extrema (high/low) within those windows.
Why these components are combined
Sessions, previous session levels, and prior day levels are frequently analyzed together by discretionary traders because they represent:
• Where liquidity formed earlier in the day or previous day
• Where price previously paused, expanded, or reversed
• Natural reference points for intraday structure and range analysis
Instead of plotting these elements using multiple separate scripts, this indicator integrates them into one consistent framework so that all levels are calculated using the same timezone, session logic, and display rules.
This avoids mismatched session times, duplicate levels, or conflicting calculations that can occur when multiple scripts are used simultaneously.
How the script works (high-level)
• Each session is defined using user-selectable session times and timezone
• During a session, the script tracks the highest and lowest traded price
• When a session ends, its final high and low are stored as the “previous session” levels
• PDH and PDL are calculated using the completed trading day
• Lines and labels are anchored to the bars where levels are formed, rather than extending indefinitely
• Optional display filters allow users to show only the current trading day to reduce chart clutter
No forward-looking logic, prediction, alerts, or trade execution logic is included.
How to use it
This script is intended to be used as a visual reference tool to help traders:
• Identify session boundaries and intraday ranges
• Observe how price reacts near prior session highs and lows
• Assess where price is trading relative to PDH and PDL
• Maintain consistent session timing across different timezones
The script does not provide trade entries, exits, alerts, or performance claims.
Important notes
• This indicator does not generate buy or sell signals
• It does not predict future price movement
• It is not a trading strategy
• All decisions remain the responsibility of the user
Disclaimer
This script is provided for educational and informational purposes only.
It does not constitute financial advice. Trading involves risk, and users should apply appropriate risk management and personal judgment when using any technical tool.
HTF High/Low/Open RangesHTF High/Low/Open Ranges is an indicator designed to visualize higher-timeframe (HTF) ranges on lower-timeframe charts.
It automatically groups candles by the selected timeframe (15m, 1H, 4H, Daily, Weekly) and plots:
the High level of the range,
the Low level of the range,
the Open level of the range,
vertical lines marking the start of each new HTF period.
Тime offset support (useful for New York / London sessions).
How to use
Use HTF High / Low as key liquidity and price reaction levels.
HTF Open often acts as an intraday equilibrium level.
Vertical lines help visually track transitions between trading periods.
[GYTS-Pro] Market Regime Detector🧊 Market Regime Detector (Professional Edition)
🌸 Part of GoemonYae Trading System (GYTS) 🌸
🌸 --------- INTRODUCTION --------- 🌸
💮 What is the Market Regime Detector?
The Market Regime Detector (Pro) is an elite, consensus-based market state analyzer designed to filter noise and identify the true underlying market structure. By distinguishing between trending (bullish or bearish) and cyclic (range-bound) market conditions with high precision, this detector acts as the "brain" of your trading system. Instead of forcing a single strategy across incompatible market conditions, the detector empowers you to deploy the right tactic at exactly the right time.
💮 The Importance of Market Regimes
Markets constantly shift between different behavioural states or "regimes":
• Bullish trending markets - characterised by sustained upward price movement
• Bearish trending markets - characterised by sustained downward price movement
• Cyclic markets - characterised by range-bound, oscillating behaviour
Each regime requires fundamentally different trading approaches. Trend-following strategies excel in trending markets but fail in cyclic ones, while mean-reversion strategies shine in cyclic markets but underperform in trending conditions. However, detecting these regimes is easier said than done, and we have gone through hundreds of hours of testing to create the Market Regime Detector, using multiple very sophisticated methods in an easy-to-use indicator.
💮 Professional vs Community Edition
The Market Regime Detector comes in two versions: a comprehensive Professional Edition and a streamlined Community Edition.
Key advantages of the Professional Edition:
• Enhanced detection accuracy - Utilises 5 advanced detection methods (compared to only 2 in the CE version)
• Proprietary cycle measurement - Automatically detects the market's dominant cycle instead of requiring manual input
• Superior consensus mechanism - Includes a unique "strength-weighted decision" mode that gives more influence to stronger signals
• Reduced false signals - Multiple complementary methods working together provide more reliable regime identification
• Advanced DSP algorithms - Implements sophisticated digital signal processing techniques for superior market analysis
The Professional Edition delivers significant improvements in detection accuracy, signal stability, and overall trading performance.
🌸 --------- KEY FEATURES --------- 🌸
💮 Consensus-Based Detection
Rather than relying on a single method, our detector employs multiple complementary detection methodologies that analyse different aspects of market behaviour:
• Advanced digital signal processing techniques
• Volatility and momentum analysis
• Adaptive filters and mathematical transformations
• Cycle identification
• Channel breakout detection
These diverse perspectives are synthesised into a robust consensus that minimises false signals while maintaining responsiveness to genuine regime changes.
💮 Proprietary Dominant Cycle Measurement ( Pro Edition only )
At the heart of our Professional Edition detector is a proprietary dominant cycle measurement system that automatically and adaptively identifies the market's natural rhythm. This system provides a stable reference framework that continuously adapts to changing market conditions while avoiding the erratic behaviour of typical cycle-finding algorithms like Hilbert Transforms, Discrete Fourier Transforms, or autocorrelation measurements.
Unlike the Community Edition which requires manual input of a single, constant dominant cycle period, the Professional Edition automatically detects and continuously adapts this critical parameter. This automated and adaptive approach ensures optimal detection accuracy across different markets and timeframes without requiring user expertise in cycle analysis, and provides significantly better responsiveness to evolving market conditions.
💮 Intuitive Parameter System
We've distilled complex technical parameters into intuitive controls that traders can easily understand:
• Adaptability - how quickly the detector responds to changing market conditions
• Sensitivity - how readily the detector identifies transitions between regimes
• Consensus requirement - how much agreement is needed among detection methods
This approach makes the detector accessible to traders of all experience levels while preserving the power of the underlying algorithms.
💮 Visual Market Feedback
The detector provides clear visual feedback about the current market regime through:
• Colour-coded chart backgrounds (purple shades for bullish, pink for bearish, yellow for cyclic)
• Colour-coded price bars
• Strength indicators showing the degree of consensus
• Customisable color schemes to match your preferences or trading system
💮 Integration in the GYTS suite
What is of paramount importance, is that the Market Regime Detector is compatible with the GYTS Suite , i.e. it passes the regime into the Order Orchestrator where you can set how to trade the trending and cyclic regime. The intention is to integrate it with more indicators.
🌸 --------- CONFIGURATION SETTINGS --------- 🌸
💮 Adaptability
Controls how quickly the Market Regime detector adapts to changing market conditions. You can see it as a low-frequency, long-term change parameter:
• Very Low: Very slow adaptation, most stable but may miss regime changes
• Low: Slower adaptation, more stability but less responsiveness
• Normal: Balanced between stability and responsiveness
• High: Faster adaptation, more responsive but less stable
• Very High: Very fast adaptation, highly responsive but may generate false signals
This setting affects lookback periods and filter parameters across all detection methods.
💮 Sensitivity
Controls the conviction threshold required to trigger a regime change. This acts as a high-frequency, short-term filter for market noise:
• Very Low: Requires overwhelming evidence to identify a regime change.
• Low: Prioritizes stability; reduces false signals but may delay transition detection.
• Normal: Balanced sensitivity suitable for most liquid markets.
• High: Highly responsive; detects subtle regime changes early but may react to market noise.
• Very High: Extremely sensitive; detects minor fluctuations immediately.
Pro Feature Note: In the Strength-Weighted Decision mode, this setting acts as a dynamic calibrator. It not only adjusts individual method thresholds but also scales the global consensus threshold . A 'High' sensitivity lowers the barrier for the weighted consensus, allowing the system to react to early-stage breakouts even if not all methods fully agree yet.
💮 Consensus Mode
Determines how the signals from all detection methods are combined to produce the final market regime:
• Any Method (OR) : Signals bullish/bearish if any method detects that regime. If methods conflict, the stronger signal wins. More sensitive, catches more regime changes but may produce more false signals.
• All Methods (AND) : Signals only when all methods agree on the regime. More conservative, reduces false signals but might miss some legitimate regime changes.
• Weighted Decision : Balances all methods with equal voting rights. Signals bullish/bearish when the weighted consensus reaches a fixed majority (0.5). Provides a middle ground between sensitivity and stability.
• Strength-Weighted Decision ( Pro Edition only ): A "meritocratic" approach where methods reporting extreme confidence (high signal strength) are given proportionally more weight than those reporting weak signals. Unlike standard voting, a single clear signal from a highly reliable method can override indecision from others.
Note: The threshold for this decision is dynamically calibrated by your 'Sensitivity' setting, ensuring the logic adapts to your desired risk profile.
Each mode also calculates a continuous regime strength value that drives the color intensity in the 'unconstrained' display mode, giving you a visual heatmap of trend conviction.
💮 Display Mode
Choose how to display the market regime colours:
• Unconstrained regime: Shows the regime strength as a continuous gradient. This provides more nuanced visualisation where the intensity of the color indicates the strength of the trend.
• Consensus only: Shows only the final consensus regime with fixed colours based on the detected regime type.
The background and bar colours will change to indicate the current market regime:
• Purple shades : Bullish trending market. In 'unconstrained' mode, darker purple indicates a stronger bullish trend.
• Pink shades : Bearish trending market. In 'unconstrained' mode, darker pink indicates a stronger bearish trend.
• Yellow : Cyclic (range-bound) market.
💮 Custom Color Options
The Market Regime Detector allows you to customize the color scheme to match your personal preferences or to coordinate with other indicators:
• Use custom colours: Toggle to enable your own color choices instead of the default scheme
• Transparency: Adjust the transparency level of all regime colours
• Bullish colours: Define custom colours for strong, medium, weak, and very weak bullish trends
• Bearish colours: Define custom colours for strong, medium, weak, and very weak bearish trends
• Cyclic color: Define a custom color for cyclic (range-bound) market conditions
🌸 --------- DETECTION METHODS --------- 🌸
💮 Five-Method Consensus Architecture
The Professional Edition employs a sophisticated multi-stage architecture to determine market regimes with high precision.
The detection process flows through four logical stages:
1. Market Data & Cycle Detection
Price data flows into the system where the Dominant Cycle Detector automatically identifies the market's natural rhythm. This adaptive cycle length calibrates all subsequent calculations, ensuring the detector remains in sync with changing market conditions without manual adjustments.
2. Five Detection Methods
Using the detected cycle, five complementary algorithms independently evaluate the market state:
• Cyclic Centroid Analysis : Calculates the market's 'centre point' over its dominant cycle and measures price displacement to determine trend or equilibrium.
• Spectral Momentum : Measures momentum across the market's frequency spectrum to identify trend concentration.
• Energy Distribution Gauge : Gauges how price movement energy is distributed to flag cyclic or trending states.
• Volatility Channel : Models the market's volatility state, using band breakouts to indicate a trend.
• Phase Coherence Detector : Analyses phase relationships between adaptive low-pass filters to detect trend stability and identify early regime shifts.
3. Consensus Engine
The signals from all five methods are fed into the Consensus Engine. Depending on your configuration, it aggregates these votes using one of four logic modes (Any, All, Weighted, or Strength-Weighted) to filter out noise and confirm the true market regime.
4. Regime Output
The final result is broadcast as a clear market state:
• Bullish (1) : Trending upwards
• Bearish (-1) : Trending downwards
• Cyclic (0) : Range-bound or oscillating
This output drives the visual feedback on your chart and can be streamed directly to the Order Orchestrator for automated strategy switching.
💮 Synergy & Complementarity
What makes these methods powerful is not just their individual sophistication, but how they complement one another:
• Some excel at early detection while others provide confirmation
• Some analyse time-domain behaviour while others work in the frequency domain
• Some focus on momentum characteristics while others assess volatility patterns
• Some respond quickly to changes while others filter out market noise
This creates a comprehensive analytical framework that can detect regime changes more accurately than any single method. All methods utilize the automatically detected and continuously adaptive dominant cycle period, ensuring they remain precisely calibrated to current market conditions without manual intervention.
🌸 --------- USAGE GUIDE --------- 🌸
💮 Starting with Default Settings
The default settings (Normal for Adaptability, Sensitivity, and Consensus) provide a balanced starting point suitable for most markets and timeframes. Begin by observing how these settings identify regimes in your preferred instruments.
💮 Adjusting Parameters
• If you notice too many regime changes → Decrease Sensitivity or increase Consensus requirement
• If regime changes seem delayed → Increase Adaptability
• If a trending regime is not detected, the market is automatically assigned to be in a cyclic state. The majority of methods actually measure this explicitly.
• If you want to see more nuanced regime transitions → Try the "unconstrained" display mode (note that this will not affect the output to other indicators)
💮 Trading Applications
Regime-Specific Strategies:
• Bullish Trending Regime - Use trend-following strategies, trail stops wider, focus on breakouts, consider holding positions longer, and emphasise buying dips
• Bearish Trending Regime - Consider shorts, tighter stops, focus on breakdown points, sell rallies, implement downside protection, and reduce position sizes
• Cyclic Regime - Apply mean-reversion strategies, trade range boundaries, apply oscillators, target definable support/resistance levels, and use profit-taking at extremes
Strategy Switching:
Create a set of rules for each market regime and switch between them based on the detector's signal. This approach can significantly improve performance compared to applying a single strategy across all market conditions. The Pro Edition's multiple detection methods and advanced consensus mechanisms provide more reliable regime transitions, leading to better strategy switching decisions.
GYTS Suite Integration:
• In the GYTS 🎼 Order Orchestrator, select the '🔗 STREAM-int 🧊 Market Regime' as the market regime source
• Note that the consensus output (i.e. not the "unconstrained" display) will be used in this stream
• Create different strategies for trending (bullish/bearish) and cyclic regimes. The GYTS 🎼 Order Orchestrator is specifically made for this.
• The output stream is actually very simple, and can possibly be used in indicators and strategies as well. It outputs 1 for bullish, -1 for bearish and 0 for cyclic regime.
🌸 --------- FINAL NOTES --------- 🌸
💮 Development Philosophy
The Market Regime Detector has been developed with several key principles in mind:
1. Robustness - The detection methods have been rigorously tested across diverse markets and timeframes to ensure reliable performance.
2. Adaptability - The detector automatically adjusts to changing market conditions, requiring minimal manual intervention.
3. Complementarity - Each detection method provides a unique perspective, with the collective consensus being more reliable than any individual method.
4. Intuitiveness - Complex technical parameters have been abstracted into easily understood controls.
💮 Ongoing Refinement
The Market Regime Detector is under continuous development. We regularly:
• Fine-tune parameters based on expanded market data using state-of-the-art Machine Learning techniques
• Research and integrate new detection methodologies
• Optimise computational efficiency for real-time analysis
Your feedback and suggestions are very important in this ongoing refinement process!
Pivot Move Ranges█ OVERVIEW
“Pivot Move Ranges” is an indicator that displays only the historical price ranges of moves that match the direction of the current swing.
It measures the price range of each individual swing and draws them as horizontal Δ-boxes positioned at the level of the most recently detected pivot.
The indicator operates with a delay equal to the set pivot detection length – after each new Pivot High, only red Δ-boxes appear showing the sizes of previous downward moves; after each new Pivot Low, only green Δ-boxes appear showing the sizes of previous upward moves. When the swing direction changes, the displayed set of levels instantly switches to the opposite direction.
█ CONCEPTS
The indicator was created to instantly provide the trader with objective, real historical price ranges – perfectly reinforcing classic tools such as Fibonacci extension/retracement, daily/weekly pivots, moving averages, order blocks, or Volume Profile.
It detects classic Pivot High and Pivot Low points:
- New Pivot High → only previous downward moves are shown (red Δ-boxes)
- New Pivot Low → only previous upward moves are shown (green Δ-boxes)
This ensures that at any moment you see only the historical ranges that match the current market direction. Price moves very often repeat themselves – the indicator makes these recurring levels immediately visible and ready to serve as natural reinforcement for other technical analysis tools.
█ FEATURES
- Pivot High / Pivot Low detection with adjustable length (default 12)
- Δ-boxes – thin horizontal lines showing the exact size of previous moves that match the current swing
- Automatic switching of the Δ-box set whenever a new opposite pivot appears
- Memory of the last N moves (default 6, max. 50) – oldest are automatically removed
- Labels showing move size (Δ) and start date/time
- Full color customization (separate for up and down), border and text transparency
- Choice of date format (DD.MM.YYYY or MM/DD/YYYY)
- Small circles marking the exact pivot locations
█ HOW TO USE
Add the indicator to your TradingView chart → paste the code → Add to Chart.
Settings:
- Pivot Length – higher values = fewer but more significant pivots (detected with a delay equal to this length)
- Max Corrections to Keep – how many previous matching moves are displayed at once
- Upward / Downward Box Color – colors of the Δ-boxes
- Box Border Transparency (%) – 0 = solid lines, 50–70 = subtle
- Show Δ Text + Move Start Date – turn labels on/off
Interpretation:
At any given moment the chart shows only the historical ranges of moves in the current direction:
- after a Pivot High → red Δ-boxes = “how far the market previously fell”
- after a Pivot Low → green Δ-boxes = “how far the market previously rose”
█ APPLICATIONS
- Instant reinforcement of technical levels – historical moves matching the current swing direction often coincide with Fibonacci levels, daily/weekly pivots, moving averages, or order blocks
- Fast cluster detection – set a high Max Corrections value (30–50) to see where the largest number of similarly sized moves cluster, then reduce to 6–10 and focus only on the most recent levels
█ NOTES
- On very strong trends, Δ-boxes can be extremely long – this is normal and correct behavior
- Always use as a supporting layer alongside other technical analysis tools
Match on Selectable Percentage Change + RangeIndicator Overview:
Match on Selectable Percentage Change + Range is a powerful analytical tool designed for traders and analysts who want to identify historical price bars that match a specific percentage variation, and then evaluate how price evolved in the following days. It combines precision filtering with visual tabular feedback, making it ideal for pattern recognition, backtesting, and scenario analysis.
What It Does
This indicator scans historical bars to find instances where the percentage change between two consecutive closes matches a user-defined target (± a customizable tolerance). Once matches are found, it displays:
The date of each match (most recent first)
The actual variation searched
The percentage change after 2, 10, 20, and 30 bars
The min-max range (in %) over those same periods
All results are shown in a dynamic table directly on the chart.
Inputs & Controls
Input Description
Which variation do you want to analyze? (%)
Set the target percentage change to look for (e.g. 2.5%)
% deviation from the variation to be considered (%) Define the tolerance range around the target (e.g. ±0.5%)
Bars to analyze (max 9999) Set how many past bars to scan
Show match table Toggle to enable/disable the entire table
Show percentage variations (2d, 10d, 20d, 30d) Toggle to show/hide post-match percentage changes
Show min-max ranges (2d, 10d, 20d, 30d) Toggle to show/hide post-match high/low ranges
Table Structure
Each row in the table represents a historical match. Columns include:
Date: When the match occurred
Variation in: The actual % change that triggered the match
2d / 10d / 20d / 30d: % change after those days
Min-Max 2d / 10d / 20d / 30d: Range of price movement after those days
Color coding helps quickly identify bullish (green) vs bearish (red) outcomes.
Use Cases
Backtesting: See how similar past moves evolved over time
Scenario modeling: Estimate potential outcomes after a known variation
Pattern recognition: Spot recurring setups or volatility clusters
Risk analysis: Understand post-variation drawdowns and upside potential
Tips for Use
Use tighter deviation (e.g. 0.3%) for precision, or wider (e.g. 1%) for broader pattern capture.
Combine with other indicators to validate setups (e.g. volume, RSI, trend filters).
Toggle off variation or range columns to focus only on the metrics you need.
Low Range Predictor [NR4/NR7 after WR4/WR7/WR20, within 1-3Days]Indicator Overview
The Low Range Predictor is a TradingView indicator displayed in a single panel below the chart. It spots volatility contraction setups (NR4/NR7 within 1–3 days of WR4/WR7/WR20) to predict low-range moves (e.g., <0.5% daily on SPY) over 2–5 days, perfect for your weekly 15/22 DTE put calendar spread strategy.
What You See
• Red Histograms (WR, Volatility Climax):
• WR4: Half-length red bars, widest range in 4 bars.
• WR7: Three-quarter-length red bars, widest in 7 bars.
• WR20: Full-length red bars, widest in 20 bars.
• Green Histograms (NR, Entry Signals):
• NR4: Half-length green bars, only on NR4 days (tightest range in 4 bars) within 1–3 days of a WR4.
• NR7: Full-length green bars, only on NR7 days within 1–3 days of a WR7.
• Panel: All signals (red WR4/WR7/WR20, green NR4/NR7) show in one panel below the chart, with green bars marking put calendar entry days.
Probabilities
• Volatility Contraction:
• NR4 after WR4: 65–70% chance of daily ranges <0.5% on SPY for 2–5 days (ATR drops 20–30%). Occurs ~2–3 times/month.
• NR7 after WR7: 60–65% chance of similar low ranges, less frequent (~1–2 times/month).
• Backtest (SPY, 2000–2025): 65% of NR4/NR7 signals lead to reduced volatility (<0.7% daily range) vs. 50% for random days.
• Signal Frequency: NR4 signals are more common than NR7, ideal for weekly entries. WR20 provides context but isn’t tied to NR signals.
Dual Volume Profiles: Session + Rolling (Range Delineation)Dual Volume Profiles: Session + Rolling (Range Delineation)
INTRO
This is a probability-centric take on volume profile. I treat the volume histogram as an empirical PDF over price, updated in real time, which makes multi-modality (multiple acceptance basins) explicit rather than assumed away. The immediate benefit is operational: if we can read the shape of the distribution, we can infer likely reversion levels (POC), acceptance boundaries (VAH/VAL), and low-friction corridors (LVNs).
My working hypothesis is that what traders often label “fat tails” or “power-law behavior” at short horizons is frequently a tail-conditioned view of a higher-level Gaussian regime. In other words, child distributions (shorter periodicities) sit within parent distributions (longer periodicities); when price operates in the parent’s tail, the child regime looks heavy-tailed without being fundamentally non-Gaussian. This is consistent with a hierarchical/mixture view and with the spirit of the central limit theorem—Gaussian structure emerges at aggregate scales, while local scales can look non-Gaussian due to nesting and conditioning.
This indicator operationalizes that view by plotting two nested empirical PDFs: a rolling (local) profile and a session-anchored profile. Their confluence makes ranges explicit and turns “regime” into something you can see. For additional nesting, run multiple instances with different lookbacks. When using the default settings combined with a separate daily VP, you effectively get three nested distributions (local → session → daily) on the chart.
This indicator plots two nested distributions side-by-side:
Rolling (Local) Profile — short-window, prorated histogram that “breathes” with price and maps the immediate auction.
Session Anchored Profile — cumulative distribution since the current session start (Premkt → RTH → AH anchoring), revealing the parent regime.
Use their confluence to identify range floors/ceilings, mean-reversion magnets, and low-volume “air pockets” for fast traverses.
What it shows
POC (dashed): central tendency / “magnet” (highest-volume bin).
VAH & VAL (solid): acceptance boundaries enclosing an exact Value Area % around each profile’s POC.
Volume histograms:
Rolling can auto-color by buy/sell dominance over the lookback (green = buying ≥ selling, red = selling > buying).
Session uses a fixed style (blue by default).
Session anchoring (exchange timezone):
Premarket → anchors at 00:00 (midnight).
RTH → anchors at 09:30.
After-hours → anchors at 16:00.
Session display span:
Session Max Span (bars) = 0 → draw from session start → now (anchored).
> 0 → draw a rolling window N bars back → now, while still measuring all volume since session start.
Why it’s useful
Think in terms of nested probability distributions: the rolling node is your local Gaussian; the session node is its parent.
VA↔VA overlap ≈ strong range boundary.
POC↔POC alignment ≈ reliable mean-reversion target.
LVNs (gaps) ≈ low-friction corridors—expect quick moves to the next node.
Quick start
Add to chart (great on 5–10s, 15–60s, 1–5m).
Start with: bins = 240, vaPct = 0.68, barsBack = 60.
Watch for:
First test & rejection at overlapping VALs/VAHs → fade back toward POC.
Acceptance beyond VA (several closes + growing outer-bin mass) → traverse to the next node.
Inputs (detailed)
General
Lookback Bars (Rolling)
Count of most-recent bars for the rolling/local histogram. Larger = smoother node that shifts slower; smaller = more reactive, “breathing” profile.
• Typical: 40–80 on 5–10s charts; 60–120 on 1–5m.
• If you increase this but keep Number of Bins fixed, each bin aggregates more volume (coarser bins).
Number of Bins
Vertical resolution (price buckets) for both rolling and session histograms. Higher = finer detail and crisper LVNs, but more line objects (closer to platform limits).
• Typical: 120–240 on 5–10s; 80–160 on 1–5m.
• If you hit performance or object limits, reduce this first.
Value Area %
Exact central coverage for VAH/VAL around POC. Computed empirically from the histogram (no Gaussian assumption): the algorithm expands from POC outward until the chosen % is enclosed.
• Common: 0.68 (≈“1σ-like”), 0.70 for slightly wider core.
• Smaller = tighter VA (more breakout flags). Larger = wider VA (more reversion bias).
Max Local Profile Width (px)
Horizontal length (in pixels) of the rolling bars/lines and its VA/POC overlays. Visual only (does not affect calculations).
Session Settings
RTH Start/End (exchange tz)
Defines the current session anchor (Premkt=00:00, RTH=your start, AH=your end). The session histogram always measures from the most recent session start and resets at each boundary.
Session Max Span (bars, 0 = full session)
Display window for session drawings (POC/VA/Histogram).
• 0 → draw from session start → now (anchored).
• > 0 → draw N bars back → now (rolling look), while still measuring all volume since session start.
This keeps the “parent” distribution measurable while letting the display track current action.
Local (Rolling) — Visibility
Show Local Profile Bars / POC / VAH & VAL
Toggle each overlay independently. If you approach object limits, disable bars first (POC/VA lines are lighter).
Local (Rolling) — Colors & Widths
Color by Buy/Sell Dominance
Fast uptick/downtick proxy over the rolling window (close vs open):
• Buying ≥ Selling → Bullish Color (default lime).
• Selling > Buying → Bearish Color (default red).
This color drives local bars, local POC, and local VA lines.
• Disable to use fixed Bars Color / POC Color / VA Lines Color.
Bars Transparency (0–100) — alpha for the local histogram (higher = lighter).
Bars Line Width (thickness) — draw thin-line profiles or chunky blocks.
POC Line Width / VA Lines Width — overlay thickness. POC is dashed, VAH/VAL solid by design.
Session — Visibility
Show Session Profile Bars / POC / VAH & VAL
Independent toggles for the session layer.
Session — Colors & Widths
Bars/POC/VA Colors & Line Widths
Fixed palette by design (default blue). These do not change with buy/sell dominance.
• Use transparency and width to make the parent profile prominent or subtle.
• Prefer minimal? Hide session bars; keep only session VA/POC.
Reading the signals (detailed playbook)
Core definitions
POC — highest-volume bin (fair price “magnet”).
VAH/VAL — upper/lower bounds enclosing your Value Area % around POC.
Node — contiguous block of high-volume bins (acceptance).
LVN — low-volume gap between nodes (low friction path).
Rejection vs Acceptance (practical rule)
Rejection at VA edge: 0–1 closes beyond VA and no persistent growth in outer bins.
Acceptance beyond VA: ≥3 closes beyond VA and outer-bin mass grows (e.g., added volume beyond the VA edge ≥ 5–10% of node volume over the last N bars). Treat acceptance as regime change.
Confluence scores (make boundary/target quality objective)
VA overlap strength (range boundary):
C_VA = 1 − |VA_edge_local − VA_edge_session| / ATR(n)
Values near 1.0 = tight overlap (stronger boundary).
Use: if C_VA ≥ 0.6–0.8, treat as high-quality fade zone.
POC alignment (magnet quality):
C_POC = 1 − |POC_local − POC_session| / ATR(n)
Higher C_POC = greater chance a rotation completes to that fair price.
(You can estimate these by eye.)
Setups
1) Range Fade at VA Confluence (mean reversion)
Context: Local VAL/VAH near Session VAL/VAH (tight overlap), clear node, local color not screaming trend (or flips to your side).
Entry: First test & rejection at the overlapped band (wick through ok; prefer close back inside).
Stop: A tick/pip beyond the wider of the two VA edges or beyond the nearest LVN, a small buffer zone can be used to judge whether price is truly rejecting a VAL/VAH or simply probing.
Targets: T1 node mid; T2 POC (size up when C_POC is high).
Flip: If acceptance (rule above) prints, flip bias or stand down.
2) LVN Traverse (continuation)
Context: Price exits VA and enters an LVN with acceptance and growing outer-bin volume.
Entry: Aggressive—first close into LVN; Conservative—retest of the VA edge from the far side (“kiss goodbye”).
Stop: Back inside the prior VA.
Targets: Next node’s VA edge or POC (edge = faster exits; POC = fuller rotations).
Note: Flatter VA edge (shallower curvature) tends to breach more easily.
3) POC→POC Magnet Trade (rotation completion)
Context: Local POC ≈ Session POC (high C_POC).
Entry: Fade a VA touch or pullback inside node, aiming toward the shared POC.
Stop: Past the opposite VA edge or LVN beyond.
Target: The shared POC; optional runner to opposite VA if the node is broad and time-of-day is supportive.
4) Failed Break (Reversion Snap-back)
Context: Push beyond VA fails acceptance (re-enters VA, outer-bin growth stalls/shrinks).
Entry: On the re-entry close, back toward POC.
Stop/Target: Stop just beyond the failed VA; target POC, then opposite VA if momentum persists.
How to read color & shape
Local color = most recent sentiment:
Green = buying ≥ selling; Red = selling > buying (over the rolling window). Treat as context, not a standalone signal. A green local node under a blue session VAH can still be a fade if the parent says “over-valued.”
Shape tells friction:
Fat nodes → rotation-friendly (fade edges).
Sharp LVN gaps → traversal-friendly (momentum continuation).
Time-of-day intuition
Right after session anchor (e.g., RTH 09:30): Session profile is young and moves quickly—treat confluence cautiously.
Mid-session: Cleanest behavior for rotations.
Close / news: Expect more traverses and POC migrations; tighten risk or switch playbooks.
Risk & execution guidance
Use tight, mechanical stops at/just beyond VA or LVN. If you need wide stops to survive noise, your entry is late or the node is unstable.
On micro-timeframes, account for fees & slippage—aim for targets paying ≥2–3× average cost.
If acceptance prints, don’t fight it—flip, reduce size, or stand aside.
Suggested presets
Scalp (5–10s): bins 120–240, barsBack 40–80, vaPct 0.68–0.70, local bars thin (small bar width).
Intraday (1–5m): bins 80–160, barsBack 60–120, vaPct 0.68–0.75, session bars more visible for parent context.
Performance & limits
Reuses line objects to stay under TradingView’s max_lines_count.
Very large bins × multiple overlays can still hit limits—use visibility toggles (hide bars first).
Session drawings use time-based coordinates to avoid “bar index too far” errors.
Known nuances
Rolling buy/sell dominance uses a simple uptick/downtick proxy (close vs open). It’s fast and practical, but it’s not a full tape classifier.
VA boundaries are computed from the empirical histogram—no Gaussian assumption.
This script does not calculate the full daily volume profile. Several other tools already provide that, including TradingView’s built-in Volume Profile indicators. Instead, this indicator focuses on pairing a rolling, short-term volume distribution with a session-wide distribution to make ranges more explicit. It is designed to supplement your use of standard or periodic volume profiles, not replace them. Think of it as a magnifying lens that helps you see where local structure aligns with the broader session.
How to trade it (TL;DR)
Fade overlapping VA bands on first rejection → target POC.
Continue through LVN on acceptance beyond VA → target next node’s VA/POC.
Respect acceptance: ≥3 closes beyond VA + growing outer-bin volume = regime change.
FAQ
Q: Why 68% Value Area?
A: It mirrors the “~1σ” idea, but we compute it exactly from empirical volume, not by assuming a normal distribution.
Q: Why are my profiles thin lines?
A: Increase Bars Line Width for chunkier blocks; reduce for fine, thin-line profiles.
Q: Session bars don’t reach session start—why?
A: Set Session Max Span (bars) = 0 for full anchoring; any positive value draws a rolling window while still measuring from session start.
Changelog (v1.0)
Dual profiles: Rolling + Session with independent POC/VA lines.
Session anchoring (Premkt/RTH/AH) with optional rolling display span.
Dynamic coloring for the rolling profile (buying vs selling).
Fully modular toggles + per-feature colors/widths.
Thin-line rendering via bar line width.
Candle Range Detector by TradeTech AnalysisCandle Range Detector by TradeTech Analysis
This advanced indicator identifies and visualizes price compression zones based on inside bar formations, then tracks how price behaves around those zones — offering valuable insights into liquidity sweeps, range expansions, and trap/mitigation behavior.
The script builds upon the foundational concept of range-based price action, commonly used by institutional traders, and adds automation, mitigation tracking, and sweep detection to map how price reacts around these critical ranges.
🔍 How It Works:
• Range Formation: A new range is detected when the current candle forms entirely within the high and low of the previous candle (i.e., an inside bar). This behavior often indicates price compression and potential breakout zones.
• Range Extension: Once a range is confirmed, the script projects upper and lower boundaries (using either a percentage-based multiplier or Fibonacci log extension), providing context for expected breakout zones.
• Mitigation Tracking: The script continuously monitors whether price breaks above or below the projected extensions, marking that range as mitigated — useful for confirming whether liquidity was absorbed.
• Sweep Detection: If price re-visits a mitigated zone and shows signs of a liquidity sweep (via wick + close behavior), the indicator triggers visual sweep labels and optional alerts.
🧠 Optional Visual Enhancements:
• Highlight range-forming candles with light blue background (toggle on/off)
• Midpoint dotted line for symmetry analysis
• Labels for “Range High” and “Range Low” for visual clarity
• Dynamic box drawing that adapts upon mitigation or continuation
⚙️ Customizable Features:
• Choose between Normal and Fibonacci-based detection modes
• Toggle visibility of range boxes, extension lines, and sweep markers
• Configure sweep alerts, mitigation window size, and visual transparency
⸻
🧪 Use Cases
• Identify consolidation zones before major price moves
• Confirm liquidity sweeps for entry/exit traps
• Visualize and test mitigation behavior of past zones
• Combine with Order Flow or Volume Profile tools to enhance context
⸻
⚠️ This is a fully original implementation that goes beyond classical inside-bar scanners by incorporating mitigation, extension projection, and liquidity sweeps — making it a powerful tool for intraday, swing, and even Smart Money-based trading setups.
3CRGANG - TRUE RANGEThis indicator helps traders identify key support and resistance levels using dynamic True Range calculations, while also providing a multi-timeframe trend overview. It plots True Range levels as horizontal lines, marks breakouts with arrows, and displays trend directions across various timeframes in a table, making it easier to align trades with broader market trends.
What It Does
The 3CRGANG - TRUE RANGE indicator calculates dynamic support and resistance levels based on the True Range concept, updating them as price breaks out of the range. It also analyzes trend direction across multiple timeframes (M1 to M) and presents the results in a table, using visual cues to indicate bullish, bearish, or neutral conditions.
Why It’s Useful
This script combines True Range analysis with multi-timeframe trend identification to provide a comprehensive tool for traders. The dynamic True Range levels help identify potential reversal or continuation zones, while the trend table allows traders to confirm the broader market direction before entering trades. This dual approach reduces the need for multiple indicators, streamlining analysis across different timeframes and market conditions.
How It Works
The script operates in the following steps:
True Range Calculation: The indicator calculates True Range levels (support and resistance) using price data (close, high, low) from a user-selected timeframe. It updates these levels when price breaks above the upper range (bullish breakout) or below the lower range (bearish breakout).
Line Plotting: Two styles are available:
"3CR": Plots one solid line after a breakout (green for bullish, red for bearish) and removes the opposing line.
"RANGE": Plots both upper and lower range lines as dotted lines (green for support, red for resistance) until a breakout occurs, then solidifies the breakout line.
Multi-Timeframe Trend Analysis: The script analyzes trend direction on multiple timeframes (M1, M5, M15, M30, H1, H4, D, W, M) by comparing the current close to the True Range levels on each timeframe. A trend is:
Trend Table: A table displays the trend direction for each timeframe, with color-coded backgrounds (green for bullish, red for bearish) and triangles to indicate the trend state.
Breakout Arrows: When price breaks above the upper range, a green ▲ arrow appears below the bar (bullish). When price breaks below the lower range, a red ▼ arrow appears above the bar (bearish).
Bullish (▲): Price is above the upper range.
Bearish (▼): Price is below the lower range.
Neutral (△/▽): Price is within the range, with the last trend indicated by an empty triangle (△ for last bullish, ▽ for last bearish).
Alerts: Breakout alerts can be set for each timeframe, with options to filter by trading sessions (e.g., New York, London) or enable all-day alerts.
Underlying Concepts
The script uses the True Range concept to define dynamic support and resistance levels, which adjust based on price action to reflect the most relevant price zones. The multi-timeframe trend analysis leverages the same True Range logic to determine trend direction, providing a consistent framework across all timeframes. The combination of breakout signals and trend confirmation helps traders align their strategies with both short-term price movements and longer-term market trends.
Use Case
Breakout Trading: Use the True Range lines and arrows to identify breakouts. For example, a green ▲ arrow below a bar with price breaking above the upper range suggests a potential long entry.
Trend Confirmation: Check the trend table to ensure the breakout aligns with the broader trend. For instance, a bullish breakout on the 1H chart is more reliable if the D and W timeframes also show bullish trends (▲).
Range Trading: When price is within the True Range (dotted lines in "RANGE" style), consider range-bound strategies, buying near support and selling near resistance, while monitoring the table for potential trend shifts.
Settings
Input Timeframe: Select the timeframe for True Range calculations (default: chart timeframe).
True Range Style: Choose between "3CR" (single line after breakout) or "RANGE" (both lines until breakout) (default: 3CR).
Change Symbol: Compare a different ticker if needed (default: chart symbol).
Color Theme: Select "LIGHT THEME" or "DARK THEME" for colors, or enable custom colors (default: LIGHT THEME).
Table Position: Set the trend table’s position (center, right, left) (default: right).
Multi Res Alerts Setup: Enable/disable breakout alerts for each timeframe (default: enabled for most timeframes).
Sessions Alerts: Filter alerts by trading sessions (e.g., New York, London) or enable all-day alerts (default: most sessions enabled).
Chart Notes
The chart displays the script’s output on XAUUSD (1H timeframe), showing:
Candlesticks representing price action.
True Range lines (green for support, red for resistance) in "3CR" style, with solid lines after breakouts and dotted lines during range-bound periods.
Arrows (green ▲ below bars for bullish breakouts, red ▼ above bars for bearish breakouts) indicating range breakouts.
A trend table in the top-right corner labeled "TREND EA," showing trend directions across timeframes (M1 to M) with triangles (▲/▼ for active trends, △/▽ for last trend) and color-coded backgrounds (green for bullish, red for bearish).
Notes
The script uses the chart’s ticker by default but allows comparison with another symbol if enabled.
Trend data for higher timeframes (e.g., M) may not display if the chart’s history is insufficient.
Alerts are triggered only during selected trading sessions unless "ALL DAY ALERTS" is enabled.
Disclaimer
This indicator is a tool for analyzing market trends and does not guarantee trading success. Trading involves risk, and past performance is not indicative of future results. Always use proper risk management.
[itradesize] ICT Opening range
This indicator automatically annotates the opening ranges of the AM and PM sessions. It should be used on the 1-minute timeframe , although you can check and build a further models when using a 2-3-4 or even 5-minute timeframe. You can customize this under the settings tab.
Additionally, it includes features such as standard deviations and the initial fair value gap presented. Everything is based on what ICT said in his algorithmic timing video.
The algorithm will continue to adjust prices higher or lower until it reaches a predetermined target price. This process will occur within specific time frames: the last 10 minutes before the hour and the first 10 minutes after a new hour begins.
For the AM session opening range, this is from 9:30 to 10:00 , and for the PM session, it's from 13:30 to 14:00 . Defining these ranges allows us to identify the first presented fair value gaps there, as the algorithm is designed to leave these signatures for smart money. This process of time-based delivery precision repeats every day. You can build a whole New York model on this.
It's important to journal and backtest your results results. If the market breaks the opening range on either side and there is evident liquidity, it is highly likely that it will pursue that liquidity.
However, before doing so, the market should retrace back to the first fair value gap if it hasn’t already occurred or back to the 0.75 or 0.5 level of the range at maximum.
When does this happen? Typically, when a macro event occurs— for example, during the lunch macro from 11:30 to 12:00 . In most cases, you can expect a retracement during lunch macro. If the market retraces beyond these levels, there is a higher probability that the expected scenario will not play out.
The algorithm primarily refers to the 30-minute opening range each time. The standard deviation levels can be used to establish algorithmic delivery targets and anticipate another run after the PM session opening range has occurred. The AM session often helps determine the likely direction of movement after the PM session range concludes.
The PM macro runs from 15:15 to 15:45 . At this time, the market will typically operate within the narrative that is currently underway.
Average Daily Range ProjectionsCreates a trailing high and low projection based on the Average Daily Range.
Track the Session High and Low to determine the Daily Range.
Average the Daily Range by a fixed Period to create an Average Daily Range .
Track the Prior Daily Range .
Track the Current Daily Range .
Track the % of Range completion relative to the CDR & ADR(P).
From the Session Low, project an Average Daily Range High by adding the ADR.
From the Session High, project an Average Daily Range Low by subtracting the ADR.
When %R reaches 100% or greater, the ADR HI & LO will lock, showing the range break out or break down. As the Session High and Low create the Daily Range, observe the reaction of price as it reaches the limit of the expected daily range.
On strongly trending days, CDR is likely greater than PDR and ADR(P). Price can break away.
On ranging days, %R may fail to reach 100% and CDR may be lesser than PDR and ADR(P). Price can bounce around within the bounds of ADR HI & LO.
Balance Price Range (BPR) IndicatorOverview
The BPR with Directional Momentum-Filtered Breakouts indicator is designed to identify Balanced Price Ranges (BPR) and d etect high-probability breakouts and breakdowns with directional momentum confirmation . By leveraging historical BPR structures, EMA-based momentum filtering , and a trade cooldown mechanism , this script provides a structured approach to identifying potential trading opportunities while reducing false signals.
This invite-only indicator is ideal for traders who seek precise breakout confirmation, reduced noise, and trend-following logic while maintaining flexibility through adjustable parameters.
How It Works
The script follows a multi-step breakout detection process by integrating multiple key technical components:
1. Balanced Price Range (BPR) Detection:
• A Balanced Candle is identified when the price remains within a specific percentage of its range midpoint.
• These BPR zones represent areas of equilibrium , where a breakout or breakdown is likely to occur.
• The script historically tracks BPR levels across the entire chart to monitor price action around key areas.
2. Momentum-Filtered Breakout & Breakdown Logic:
• Bullish Breakout: Occurs when the price breaks above the historical BPR high with bullish momentum.
• Bearish Breakdown: Occurs when the price breaks below the historical BPR low with bearish momentum.
• Momentum Confirmation: Each breakout requires a strong directional move, measured against the Exponential Moving Average (EMA) .
• Only confirmed breakouts are marked, reducing the likelihood of false signals in choppy markets.
3. Candle-Based Background Visualization:
• Grey Background: Represents a Balanced Price Range (BPR), indicating potential breakout zones.
• Green Background: Indicates a Bullish Breakout when the price successfully breaks and holds above the BPR high.
• Red Background: Indicates a Bearish Breakdown when the price drops below the BPR low.
4. Trade Cooldown Mechanism:
• Prevents consecutive signals from triggering too frequently.
• Default cooldown period: 5 bars (adjustable).
• Ensures that trades are not clustered, improving signal quality.
5. EMA for Trend Direction & Confirmation:
• A 20-period EMA (default, adjustable) is used to confirm trade direction.
• Breakouts above the EMA align with uptrend continuation.
• Breakdowns below the EMA align with downtrend momentum.
Key Features
✔️ Historical BPR Detection – Tracks past BPR levels across the entire chart for structured breakout zones.
✔️ Momentum-Based Breakouts – Ensures breakouts are confirmed by directional price movement before generating signals.
✔️ Candle-Based Background Logic – Subtle candle highlights rather than full background fills, for better chart clarity.
✔️ Trade Cooldown Period – Prevents consecutive buy/sell signals within a defined period, improving signal efficiency.
✔️ Dynamic EMA Confirmation – Ensures trades align with the overall trend, reducing counter-trend trades.
✔️ Customizable Inputs – Adjust breakout thresholds, EMA length, and cooldown periods as per trading style.
✔️ Works Across Multiple Timeframes – Can be applied to intraday, swing, and positional trading strategies.
How to Use
1. Look for Balanced Price Ranges ( BPR )
• These zones highlight equilibrium areas where price is likely to break out.
• Grey-shaded candles indicate potential breakout zones.
2. Monitor for Bullish or Bearish Breakouts
• A green candle background signals a bullish breakout above BPR.
• A red candle background signals a bearish breakdown below BPR.
• The EMA filter helps confirm whether the breakout aligns with the prevailing trend.
3. Follow the Cooldown Logic
• After a breakout signal, wait for the cooldown period before another trade is allowed.
• This helps filter out noisy price action and prevents excessive trading.
4. Use Alongside Other Indicators
• Works well with volume analysis, support/resistance levels, and price action strategies.
• Can be combined with other momentum indicators for further trade confirmation.
Why This Combination?
Unlike generic breakout indicators, this script uniquely combines:
• BPR historical structures for defining potential breakout zones.
• Momentum-based breakout filtering using EMA confirmation.
• Trade cooldown logic to avoid excessive trading signals.
• Subtle candle-based highlights instead of cluttered full-background fills.
This structured approach makes the indicator more robust, adaptive, and reliable in different market conditions.
Why It’s Worth Using?
🔹 Avoid False Breakouts: Built-in momentum confirmation prevents weak or fake breakouts.
🔹 Clean Visualization: No excessive overlays—just precise, meaningful background coloring for breakouts.
🔹 Works in Any Market: Use on stocks, crypto, forex, indices, and commodities across different timeframes.
🔹 User-Friendly & Customizable: Fine-tune parameters to match individual trading styles.
⚠️ Note: This is an Invite-Only script. Access is granted to selected users.
✅ If you find it useful, consider incorporating it into your trend-following & breakout trading strategies.
🚀 Optimize your trading with structured breakout detection! 🚀
Unmitigated 50% of the RangeThis indicator is designed to display unmitigated 50% zones of price ranges within two swing (High and Low) points. The 50% level serves as a probable target for retracements before the price resumes its movement in the direction of the most recent swing. The underlying theory is that Price Action tends to correct unbalanced price zones by returning to 50% of the range.
The indicator identifies highs and lows utilizing the “Left Swing Sensitivity” setting, which detects the high/low points within the specified number of bars. It then ensures that the zone meets a minimum size requirement, configured via the “Minimum Leg Size” setting, to filter out smaller legs/zones that would not provide sufficient profit and loss opportunities for entries at 50% and take profit at the most recent swing point.
To prevent duplication of zones when the price is gradually moving up, an "Auto Adjust Levels" setting is available. Enabled by default, this feature automatically cleans up smaller zones, retaining only the primary zone between the most recent swing point and the outer swing.
Additionally, the indicator automatically removes mitigated zones where the price has returned to the 50% level, thus maintaining clean charts.
There are several visualization settings available, offering comprehensive control over what is displayed on the charts:
Control the color and style of the lines representing the 1, 0, and 50% levels.
Choose whether to display labels and if they should show the price at the rendered levels.
Optionally extend the lines/labels to the right for each level.
Multi-Timeframe RangeThe Multi-Timeframe Range Indicator is designed for traders looking to monitor key price levels across various timeframes (Daily, Weekly, Monthly, Quarterly, and Yearly) directly on their charts. This indicator draws boxes and mid-lines for each timeframe’s high, low, and midpoint, enabling users to visualize price ranges and assess potential areas of support and resistance more effectively.
Features:
Dynamic Range Boxes: Displays the high, low, and midpoint levels for each specified timeframe, with customizable colors for easy differentiation.
Visual Cues for Monday’s Levels: Highlights Monday’s high, low, and midpoint levels each week to support intraday trading setups and weekly trend analysis.
Multi-Timeframe Flexibility: Easily toggle between timeframes to view ranges from daily to yearly, making this indicator suitable for both short-term and long-term traders.
Ideal Use Cases:
Identify key support and resistance zones based on multiple timeframes.
Assess weekly and monthly trends using the Monday range levels.
Gain insights into market structure across various timeframes.
Swing Data - Optimized SK60
v. 1.83
indicator adjust to time frame.
This Pine Script code generates a trading indicator that calculates and displays various data points on a stock, including Average Daily Range (ADR%), Market Cap, Current Volume, Free Cash Flow (FCF) Yield %, Float %, whether moving averages (MA) are inline, and the moving averages of certain indexes like the Russell 2000, Nasdaq 100, and S&P 500. Here’s a breakdown of the script and how to use it.
Key Concepts and Functionality
Indicator Definition: The script begins by defining the indicator with a title (Swing Data - Optimized ADR%...) and short title (Optimized Swing Data), which will appear on the chart. The overlay=true command ensures that the indicator is drawn on the main price chart rather than in a separate pane.
Sector and Ticker:
s = syminfo.tickerid: This stores the ticker ID of the stock being analyzed.
sector = syminfo.sector: This retrieves the sector to which the stock belongs. If the sector information is unavailable, it assigns the value "N/A".
Dynamic Inputs: Several input parameters allow you to customize the indicator:
adrp_len: Defines the length for ADR% calculation.
len: Defines the moving average length for volume.
tbl_size, bg_col, and txt_col: Control the table's appearance, including the size of the text, background color, and text color.
posTable: Allows positioning of the table on the chart. Options include top-left, top-right, bottom-left, and bottom-right.
show_empty_row: Adds an empty row above the displayed values if set to true.
Volume Unit Handling (f_vol_unit): This function converts volume into appropriate units, like thousands (K), millions (M), or billions (B), to make volume easier to read. It’s applied to both the current volume and the average daily volume.
Moving Averages for Indexes (f_ma_indexes): This function calculates the 10-day, 20-day, 50-day, and 200-day simple moving averages (SMAs) for an index (such as Russell 2000 or Nasdaq 100). It also checks whether the MAs are inline, meaning if shorter MAs are above longer MAs, which is usually a bullish sign. It returns the result as "YES" or "NO" and assigns a color (green for yes, red for no).
Volume and Price Data: The script fetches several important data points:
vol_display: Current volume in human-readable units.
avgDaVol: Average daily volume.
adrp: Average Daily Range (ADR%) over a specified length.
fcf_yield_percent: Free Cash Flow Yield percentage.
ADR Calculation: The ADR% is calculated using the formula 100 * (ta.sma(high / low, adrp_len) - 1) and is fetched for the daily timeframe.
FCF Yield Color Logic: The Free Cash Flow yield is classified into three categories:
Green: Undervalued if FCF yield is over 5%.
Yellow: Neutral between 2-5%.
Red: Overvalued if below 2%.
MA's Inline Check for the Stock: The script checks if the stock's 10-day, 20-day, 50-day, and 200-day moving averages are inline (i.e., in a bullish alignment where shorter MAs are higher than longer MAs).
Float % Calculation: The float percentage is calculated as the ratio of float shares outstanding (FSO) to total shares outstanding (TSO). The color is set based on its breakout potential:
Red: Below 20% (manipulation risk).
Green: 20-50% (ideal breakout range).
Yellow: Above 50%.
Price Change %: The script calculates the percentage change in price between the current and previous close.
Volume Color Logic: The color of the "Current Volume" is based on whether it indicates buying or selling pressure:
Green: Volume is higher than average, and the price increased more than ADR%.
Red: Volume is higher than average, and the price decreased more than ADR%.
Yellow: Default color if neither condition is met.
Market Cap: The market cap is calculated by multiplying the total shares outstanding (TSO) by the current close price, and it’s displayed in a human-readable unit (K, M, or B).
Display Table:
A table is created to display all the calculated data in an organized manner. It includes fields for Market Cap, Avg Volume, ADR%, Current Volume, FCF Yield %, Float %, MA's Inline status, and Sector. Additionally, it shows the inline status for the Russell 2000, Nasdaq 100, and S&P 500.
How to Use:
Customization: Users can customize the inputs, including the length of ADR% and volume moving averages, and adjust the table size, text color, and position.
Visualization: The indicator provides a comprehensive table on the chart showing key data points for technical analysis, including whether moving averages are inline for both the stock and major indexes.
This indicator is particularly useful for swing traders or technical analysts who want a clear overview of a stock’s volume, volatility (via ADR%), and the alignment of moving averages, combined with fundamental metrics like market cap and free cash flow yield.
ICT Balance Price Range [UAlgo]The "ICT Balance Price Range " indicator identifies and visualizes potential balance price ranges (BPRs) on a price chart. These ranges are indicative of periods where the market exhibits balance between bullish and bearish forces, often preceding significant price movements.
🔶 What is Balanced Price Range (BPR) ?
Balanced Price Range is a concept based on Fair Value Gap. Balanced price range (BPR) is the area on price chart where two opposite fair value gaps overlap.
When price approaches the Balanced Price Range (BPR), we assume that the price will react quickly and strongly here. This is because its the combination of two fair value gaps and being a good point of interest for smart money traders.
🔶 Key Features:
Bars to Consider: Determines the number of bars to evaluate for BPR conditions.
Threshold for BPR: Sets the minimum range required for a valid BPR to be identified.
Remove Old BPR: Option to automatically remove invalidated BPRs from the chart.
Bearish/Bullish Box Color: Customizable colors for visual representation of bearish and bullish BPRs.
🔶 Disclaimer
This indicator is provided for educational and informational purposes only.
It should not be considered as financial advice or a recommendation to buy or sell any financial instrument.
The use of this indicator involves inherent risks, and users should employ their own judgment and conduct their own research before making any trading decisions. Past performance is not indicative of future results.
🔷 Related Scripts
Fair Value Gaps (FVG)
Advanced Technical Range and Expectancy Estimator [SS]Hello everyone,
This indicator is a from of momentum based probability modelling. It is derived from my own approaches to probability modelling but just simplified a bit.
How it works:
The indicator looks at various technical, including stochastics, RSI, MFI and Z-Score, to determine the likely sentiment. All of these, with the exception of Z-Score, are momentum based indicators and can alert us to likely sentiment. However, instead of us making the subjective determination ourselves as to whether the RSI or MFI or Stochastics are bullish, the indicator will look at previous instances of these occurrences, and tally the bullish and bearish follow throughs that happened. It will also calculate the average target price that was hit, under similar conditions, on the same timeframe.
The Z-Score is your "tie breaker". It is not a momentum based indicator and measures something a little different (the standard deviation and over-extension of the stock). For this reason, it provides an alternative assessment and tends to be a bit more reliable in times of low momentum.
Back-test Results:
The indicator back-tests itself over the previous 100 candles. I have limited it to 100 candles for pragmatic considerations (it has to back-test each technical individually and increasing the BT length will slow and potentially error out the indicator) as well as accuracy considerations.
One thing I have noticed in my years of trying to crack the code and develop probability models for tickers, is historical accuracy doesn't always matter because sentiment is always changing. You need to see what it has done over the most recent 100 to 200 candles.
There are two back-test windows, one for the price targets and the other for the sentiment accuracy. The most effective/most accurate will highlight green, the least effective/least accurate will highlight red:
In the image above, you can see that the most accurate predictor of sentiment is Z-Score, with a 90.32% accuracy rate over the past 100 candles.
The most accurate predictor of price is MFI, with a 60% (for bull targets) and 42% (for bear targets)accuracy rate.
Anchoring Points:
The indicator permits you to anchor by two points. The default setting is anchoring by previous candle. If you plan to use this as an oscillator, to see the current prediction for the current candle you are viewing, then you will need to leave this default setting. It will pull the data from the previous candle and give you the data for the current candle you are on.
If you are assess the likely sentiment for the next day after the day has closed off, you will want to anchor by current candle. This will take the current technicals that the day has closed off with and run the assessment for you.
Customizability
You can customize the technicals by source and length of assessment.
They are all defaulted to the traditional settings of these indicators, but if you want to customize your model to try and improve or enhance accuracy in one way or another, you are free and able to do so!
I do suggest leaving the defaults as they seem to work particular well :-).
Thresholds
Thresholds are the tolerance levels that we permit for our technical search range. If you want them to be exactly identical, then you can set it to 0. If you want it to be extremely similar, you can set it to 0.01. This will hone in on the ranges you are interest in and you can see how it affects your accuracy by reviewing the results in the back-test tables.
Keep Static Colour Option
I want to make a quick note on the "Keep Static Colour" option that is in your settings menu.
The primary table that shows you the probability and price targets change colours based on the accuracy of the assessment. This is so, if you are using a mobile device or smaller screen and can't have the back-test results open at the same time, you can see still which are the most reliable results. However, if you have the back-test tables open and you find these colour changes too distracted, you can toggle on the "Keep Static Colour" and it will resort the colour of the table to a solid white:
Show Technicals
The indicator can show you the current technical values if you are using it in place of an oscillator. Its less pivotal as its making the assessment for you, but just for your reference if you want to see what the current MFI, Z-Score or Stochastics etc. are, you have that option as well.
All Timeframes Permitted
You can view Weekly, Monthly, Hourly, 5 minute, 1 minute, its all supported!
That's the indicator in a nutshell.
Hope you enjoy and leave your questions below.
Safe trades everyone!
ADR % RangesThis indicator is designed to visually represent percentage lines from the open of the day. The % amount is determined by X amount of the last days to create an average...or Average Daily Range (ADR).
1. ADR Percentage Lines: The core function of the script is to apply lines to the chart that represent specific percentage changes from the daily open. It first calculates the average over X amount of days and then displays two lines that are 1/3rd of that average. One line goes above the other line goes below. The other two lines are the full "range" of the average. These lines can act as boundaries or targets to know how an asset has moved recently. *Past performance is not indicative of current or future results.
The calculation for ADR is:
Step 1. Calculate Today's Range = DailyHigh - DailyLow
Step 2. Store this average after the day has completed
Step 3. Sum all day's ranges
Step 4. Divide by total number of days
Step 5. Draw on chart
2. Customizable Inputs: Users have the flexibility to customize the script through various inputs. This includes the option to display lines only for the current trading day (`todayonly`), and to select which lines are displayed. The user can also opt to show a table the displays the total range of previous days and the average range of those previous days.
3. No Secondary Timeframe: The ADR is computed based on whatever timeframe the chart is and does not reference secondary periods. Therefore the script cannot be used on charts greater than daily.
This script is can be used by all traders for any market. The trader might have to adjust the "X" number of days back to compute a historical average. Maybe they only want to know the average over the past week (5 days) or maybe the past month (20 days).
20/200MAs+LTF+4HTF and HighLowBox+3HTF20/200MAs
Shows 20 and 200 MAs in each TFs(tfChart,1 Lower and 4 Higher).
TFs:
current TF
Lower TF (default: lower1)
Higher TF1 (default: higher1)
Higher TF2 (default: higher1)
Higher TF3 (default: higher1)
Higher TF4 (default: higher1)
MAs:
20MA (default: sma)
1st 200MA (default: sma)
2nd 200MA (default: ema)
VWAP (optional)
HighLowBox+3HTF
Enclose in a square high and low range in each timeframe.
Shows price range and duration of each box.
In current timeframe, shows Fibonacci Scale inside(23.6%, 38.2%, 50.0%, 61.8%, 76.4%)/outside of each box.
Outside(161.8%,261.8,361.8%) would be shown as next target, if break top/bottom of each box.
1st box for current timeframe.
2nd box for higher timeframe.(default: higher1)
3rd box for higher timeframe.(default: higher2)
4th box for higher timeframe.(default: higher3)
static timeframes can also be used.
HighLowBox 1+3TF Enclose in a square high and low range in each timeframe.
Shows price range and duration of each box.
In current timeframe, shows Fibonacci Scale inside(23.6%, 38.2%, 50.0%, 61.8%, 76.4%)/outside of each box.
Outside(161.8%,261.8,361.8%) would be shown as next target, if break top/bottom of each box.
1st box for current timeframe.(default: Chart)
2nd-4th box for higher timeframes.(default: higher1,higher2,higher3)
static timeframes can also be used.
