Daily Key Levels + VWAPThis indicator is daily price levels and previous day's VWAP for precision intraday trading decisions.
Supportandresistancezones
Weekly & Daily Key LevelsWeekly & Daily Key Levels Indicator
This is a multi-timeframe support and resistance indicator that displays critical weekly and daily price levels for A+ -grade trading decisions.
What It Does:
Weekly Levels:
Current Weekly Open (purple) - Key pivot for the week
Previous Weekly High/Low (green/red) - Major support/resistance zones
Previous Weekly Close (gray) - Institutional reference point
Mid-Week Level (orange) - 50% retracement level between weekly high/low
Gap Zones - Visual highlighting of weekly gaps with fill tracking
Daily Levels:
Previous Day Open, High, Low, Close - Essential intraday reference points
Previous Day VWAP (Volume Weighted Average Price) - Institution money flow level
Key Features:
Support/Resistance Zones:
Adjustable zone width around weekly high/low
Color-coded fills (green resistance, red support)
Helps identify optimal entry/exit ranges vs precise lines
Gap Analysis:
Automatic weekly gap detection
Visual gap fill zones (lime = gap up, orange = gap down)
Gap fill tracking and alerts
Real-Time Analysis Table:
Current price position vs all weekly levels
Current price position vs all daily levels
Trading bias indicators (BULLISH/BEARISH/NEUTRAL)
Gap status monitoring
Smart Alerts:
Weekly high/low breakouts
Daily high/low breakouts
Weekly open and mid-level crosses
Gap fills
VWAP crosses
Best Use Cases:
Swing Trading: Use weekly levels for major support/resistance and trade direction
Day Trading: Combine daily levels with weekly context for high-probability setups
Institutional Trading: VWAP and weekly open are key levels where smart money operates
Gap Trading: Track and trade gap fill scenarios
Multi-Timeframe Analysis: See the "big picture" structure on any timeframe
Settings:
Toggle individual level displays
Adjustable zone widths
Customizable alerts
Clean visual presentation that doesn't clutter charts
Adjustments settings based on your trading style. Works on all instruments and timeframes. I am open to any suggested improvements.
VWAP Composites📊 VWAP Composite - Advanced Multi-Period Volume Weighted Average Price Indicator
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🎯 OVERVIEW
VWAP Composite is an advanced volume-weighted average price (VWAP) indicator that goes beyond traditional single-period VWAP calculations by offering composite multi-period analysis and unprecedented customization. This indicator solves a common problem traders face: traditional VWAP resets at arbitrary intervals (session start, day, week), but significant price action and volume accumulation often spans multiple periods. VWAP Composite allows you to anchor VWAP calculations to any timeframe—or combine multiple periods into a single composite VWAP—giving you a true representation of average price weighted by volume across the exact periods that matter to your analysis.
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⚙️ HOW IT WORKS - CALCULATION METHODOLOGY
📌 CORE VWAP CALCULATION
The indicator calculates VWAP using the standard volume-weighted formula:
• Typical Price = (High + Low + Close) / 3
• VWAP = Σ(Typical Price × Volume) / Σ(Volume)
This calculation is performed across user-defined time periods, ensuring each bar's contribution to the average is proportional to its trading volume.
📌 STANDARD DEVIATION BANDS
The indicator calculates volume-weighted standard deviation to measure price dispersion around the VWAP:
• Variance = Σ / Σ(Volume)
• Standard Deviation = √Variance
• Upper Band = VWAP + (StdDev × Multiplier)
• Lower Band = VWAP - (StdDev × Multiplier)
These bands help identify overbought/oversold conditions relative to the volume-weighted mean, with high-volume price excursions having greater impact on band width than low-volume moves.
📌 COMPOSITE PERIOD METHODOLOGY (Auto Mode)
Unlike traditional VWAP that resets at fixed intervals, Auto Mode creates composite VWAPs by combining the current period with N previous periods:
• Period Span = 1: Current period only (standard VWAP behavior)
• Period Span = 2: Current period + 1 previous period combined
• Period Span = 3: Current period + 2 previous periods combined
• And so on...
Example: A 3-period Weekly composite VWAP calculates from the start of 2 weeks ago through the current week's end, creating a single VWAP that represents 21 days of continuous price and volume data. This provides context about where price stands relative to the volume-weighted average over multiple weeks, not just the current week.
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🔧 KEY FEATURES & ORIGINALITY
✅ DUAL OPERATING MODES
1️⃣ MANUAL MODE (5 Independent VWAPs)
Define up to 5 separate VWAP calculations with custom start/end times:
• Perfect for anchoring VWAP to specific events (earnings, Fed announcements, major reversals)
• Each VWAP has independent color settings for lines and deviation band backgrounds
• Individual control over calculation extension and visual extension (explained below)
• Useful for tracking multiple institutional accumulation/distribution zones simultaneously
2️⃣ AUTO MODE (Composite Period VWAP)
Automatically calculates VWAP across combined time periods:
• Supported periods: Daily, Weekly, Monthly, Quarterly, Yearly
• Configurable period span (1-20 periods)
• Always up-to-date, recalculates on each new bar
• Ideal for systematic analysis across consistent timeframes
✅ DUAL EXTENSION SYSTEM (Manual Mode Innovation)
Most VWAP indicators only offer "on/off" for extending calculations. This indicator provides two distinct extension options:
🔹 EXTEND CALCULATION TO CURRENT BAR
When enabled, continues including new bars in the VWAP calculation after the defined end time. The VWAP value updates dynamically as new volume enters the market.
Use case: You anchored VWAP to a major low 3 weeks ago. You want the VWAP to continue evolving with new volume data to track ongoing institutional positioning.
🔹 EXTEND VISUAL LINE ONLY
When enabled (and calculation extension is disabled), projects the "frozen" VWAP value forward as a reference line. The VWAP value remains fixed at what it was at the end time, but the line and deviation bands visually extend to current price.
Use case: You want to see how price is behaving relative to the VWAP that existed at a specific point in time (e.g., "Where is price now vs. the 5-day VWAP that existed at last Friday's close?").
This dual system gives you unprecedented control over whether you're tracking a "living" VWAP that incorporates new data or using historical VWAP levels as static reference points.
✅ CUSTOMIZABLE STANDARD DEVIATION BANDS
• Adjustable multiplier (0.1 to 5.0)
• Independent background colors with opacity control for each VWAP
• Dashed band lines for easy visual distinction from main VWAP
• Bands extend when visual extension is enabled, maintaining zone visibility
✅ COMPREHENSIVE LABELING SYSTEM
Each VWAP displays:
• Current VWAP value
• Upper deviation band value (High)
• Lower deviation band value (Low)
• Extension status indicator (Calc Extended / Visual Extended)
• Color-coded for quick identification
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📖 HOW TO USE THIS INDICATOR
🎯 SCENARIO 1: EVENT-ANCHORED VWAP (Manual Mode)
Use case: A stock gaps down 15% on earnings and you want to track where institutions are positioning during the recovery.
Setup:
1. Switch to Manual Mode
2. Enable VWAP 1
3. Set Start Time to the earnings gap bar
4. Set End Time to current time (or leave far in future)
5. Enable "Extend Calculation to Current Bar"
6. Watch how price respects the VWAP as a dynamic support/resistance
Interpretation:
• Price above VWAP = buyers in control since the event
• Price testing VWAP from above = potential support
• Volume-weighted standard deviation bands show normal price range
• Price outside bands = potential exhaustion/mean reversion setup
🎯 SCENARIO 2: MULTI-WEEK INSTITUTIONAL ACCUMULATION ZONE (Auto Mode)
Use case: You trade swing setups and want to identify where institutions have been accumulating over the past 3 weeks.
Setup:
1. Switch to Auto Mode
2. Select "Weekly" period type
3. Set Period Span to 3
4. Enable standard deviation bands
Interpretation:
• 3-week composite VWAP shows the true average institutional entry
• Price bouncing off VWAP repeatedly = strong support (institutions defending their average)
• Price breaking below VWAP on high volume = potential distribution
• Deviation bands contracting = consolidation; expanding = volatility increase
🎯 SCENARIO 3: COMPARING MULTIPLE TIME HORIZONS (Manual Mode)
Use case: You want to see short-term vs medium-term vs long-term VWAP alignments.
Setup:
1. Switch to Manual Mode
2. VWAP 1: Last 5 trading days (blue)
3. VWAP 2: Last 10 trading days (orange)
4. VWAP 3: Last 20 trading days (purple)
5. Enable "Extend Calculation" for all
6. Set different background colors for visual separation
Interpretation:
• All VWAPs aligned upward = strong trend across all timeframes
• Price between VWAPs = finding equilibrium between different trader timeframes
• Short-term VWAP crossing long-term VWAP = momentum shift
• Price rejecting at higher-timeframe VWAP = that timeframe's traders defending their average
🎯 SCENARIO 4: HISTORICAL VWAP REFERENCE LEVELS (Manual Mode)
Use case: You want to see where the 1-month VWAP was at each month-end as static reference levels.
Setup:
1. Switch to Manual Mode
2. VWAP 1: Set to last month's start/end dates
3. VWAP 2: Set to 2 months ago start/end dates
4. VWAP 3: Set to 3 months ago start/end dates
5. Disable "Extend Calculation"
6. Enable "Extend Visual Line Only"
Interpretation:
• Each VWAP represents the volume-weighted average for that complete month
• These become static support/resistance levels
• Price returning to old monthly VWAPs = institutional memory/gap fill behavior
• Useful for identifying longer-term value areas
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🎨 CUSTOMIZATION OPTIONS
GENERAL SETTINGS
• Show/hide labels
• Line style: Solid, Dashed, or Dotted
• Standard deviation multiplier (impacts band width)
• Toggle standard deviation bands on/off
MANUAL MODE (Per VWAP)
• Custom start and end times
• Line color picker
• Background color picker (with transparency control)
• Extend calculation option
• Extend visual option
• Show/hide individual VWAPs
AUTO MODE
• Period type selection (Daily/Weekly/Monthly/Quarterly/Yearly)
• Period span (1-20 periods)
• Line color
• Background color (with transparency control)
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💡 TRADING APPLICATIONS
✓ Mean Reversion: Use deviation bands to identify stretched prices likely to return to VWAP
✓ Trend Confirmation: Price sustained above VWAP = bullish bias; below = bearish bias
✓ Support/Resistance: VWAP often acts as dynamic S/R, especially on higher volume periods
✓ Institutional Positioning: Multi-day/week VWAPs show where large players have established positions
✓ Entry Timing: Wait for pullbacks to VWAP in trending markets
✓ Stop Placement: Use VWAP ± standard deviation as volatility-adjusted stop levels
✓ Breakout Confirmation: Breakouts from consolidation with price reclaiming VWAP = stronger signal
✓ Multi-Timeframe Analysis: Compare short vs long-period VWAPs to gauge momentum alignment
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⚠️ IMPORTANT NOTES
• The indicator redraws on each bar to maintain accurate visual representation (uses `barstate.islast`)
• Maximum lookback is limited to 5000 bars for performance optimization
• Time range calculations work across all timeframes but are most effective on intraday to daily charts
• Standard deviation bands assume volume-weighted distribution; extreme events may violate assumptions
• Auto mode always calculates to current bar; use Manual mode for fixed historical periods
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This indicator is open-source. Feel free to examine the code, learn from it, and adapt it to your needs.
Huge VolumesHuge Volumes indicator plots areas on the chart where trading volume spikes — showing where strong buying or selling pressure takes place.
It helps visualize how large players move in and out of positions, making it easier to spot potential turning points or confirm trends.
Previous Day & Week High/Low LevelsPrevious Day & Week High/Low Levels is a precision tool designed to help traders easily identify the most relevant price levels that often act as strong support or resistance areas in the market. It automatically plots the previous day’s and week’s highs and lows, as well as the current day’s developing internal high and low. These levels are crucial reference points for intraday, swing, and even position traders who rely on price action and liquidity behavior.
Key Features
Previous Day High/Low:
The indicator automatically draws horizontal lines marking the highest and lowest prices from the previous trading day.
These levels are widely recognized as potential zones where the market may react again — either rejecting or breaking through them.
Previous Week High/Low:
The script also tracks and displays the high and low from the last completed trading week.
Weekly levels tend to represent stronger liquidity pools and broader institutional zones, which makes them especially important when aligning higher timeframe context with lower timeframe entries.
Internal Daily High/Low (Real-Time Tracking):
While the day progresses, the indicator dynamically updates the current day’s internal high and low.
This allows traders to visualize developing market structure, identify intraday ranges, and anticipate potential breakouts or liquidity sweeps.
Multi-Timeframe Consistency:
All levels — daily and weekly — remain visible across any chart timeframe, from 1 minute to 1 day or higher.
This ensures traders can maintain perspective and avoid losing track of key zones when switching views.
Customizable Visuals:
The colors, line thickness, and label visibility can be easily adjusted to match personal charting preferences.
This makes the indicator adaptable to any trading style or layout, whether minimalistic or detailed.
How to Use
Identify Key Reaction Zones:
Observe how price interacts with the previous day and week levels. Rejections, consolidations, or clean breakouts around these lines often signal strong liquidity areas or potential directional moves.
Combine with Market Structure or Liquidity Concepts:
The indicator works perfectly with supply and demand analysis, liquidity sweeps, order block strategies, or simply classic support/resistance techniques.
Scalping and Intraday Trading:
On lower timeframes (1m–15m), the daily levels help identify intraday turning points.
On higher timeframes (1h–4h or daily), the weekly levels provide broader context and directional bias.
Risk Management and Planning:
Using these levels as reference points allows for more precise stop placement, target setting, and overall trade management.
Why This Indicator Helps
Markets often react strongly around previous highs and lows because these zones contain trapped liquidity, pending orders, or institutional decision points.
By having these areas automatically mapped out, traders gain a clear and objective view of where price is likely to respond — without needing to manually draw lines every day or week.
Whether you’re a beginner still learning about price structure, or an advanced trader refining entries within liquidity zones, this tool simplifies the process and keeps your charts clean, consistent, and data-driven.
Proteus EMA SystemInstitutional-Grade EMA System
Overview and Originality
The Institutional-Grade EMA System is an advanced, multi-layered Exponential Moving Average (EMA) overlay indicator designed to provide institutional-level trend analysis, market regime identification, and trade signal generation. Unlike standard multi-EMA scripts that simply plot averages and basic crossovers, this indicator introduces a proprietary integration of features tailored for professional traders: customizable presets that dynamically adjust EMA lengths for specific trading styles (e.g., scalping vs. position trading), multiple selectable trend detection algorithms (including a unique multi-bar slope analysis with percentage-based strength thresholding), EMA alignment and confluence detection for spotting high-conviction trends and reversal zones, volume-based signal filtering, and a comprehensive statistics dashboard for real-time market insights.
What makes this script original and worthy of closed-source protection is the bespoke combination of these elements into a cohesive system. For instance, while basic EMA ribbons or trend coloring exist in other indicators, this script's trend detection goes beyond simple comparisons by incorporating a normalized slope percentage calculation (detailed below) to quantify trend strength on a 0-100% scale, integrated with EMA stacking checks and confluence thresholds. This proprietary logic—refined through extensive backtesting on diverse assets—allows for nuanced market regime classification (e.g., "Strong Uptrend" only when alignment, slope strength, and volume align), which isn't replicated in open-source alternatives. The closed-source format protects the exact orchestration of these algorithms, including custom threshold derivations and dashboard computations, preventing direct replication while allowing users full access to the tool's outputs. If published open-source, the unique mathematical formulations (e.g., slope-to-strength mapping) could be easily copied, diminishing its edge in competitive trading environments.
This indicator draws conceptual inspiration from institutional trend-following systems (e.g., those using multiple time-horizon EMAs like in hedge fund models), but enhances them with modern Pine Script capabilities for visual and analytical depth. It's particularly useful for traders seeking to reduce false signals in volatile markets by requiring multi-factor confluence.
What It Does
Core EMA Plotting and Visualization: Plots up to 7 EMAs (5 primary + 2 optional) with dynamic coloring based on detected trend direction and strength (strong bullish: bright green; weak: faded green; neutral: gray; etc.). Includes EMA ribbons (fills between consecutive EMAs) and clouds (broader fills between non-consecutive EMAs) to visualize trend expansion/contraction.
Trend Detection and Strength: Classifies trends as strong/weak bullish/bearish or neutral using user-selectable methods, with optional volume confirmation to filter low-conviction moves.
Advanced Analytics:
Detects EMA alignment (all EMAs stacked in ascending/descending order for bullish/bearish trends).
Identifies EMA confluence zones (tight clustering of EMAs, signaling potential reversals or consolidations).
Draws dynamic support/resistance lines from the nearest EMAs relative to price.
Signals and Alerts: Generates buy/sell signals on customizable EMA crossovers, only if volume thresholds are met. Includes alerts for crossovers, alignments, confluences, and regime shifts.
User Interface Enhancements: Background coloring for quick trend bias (e.g., green for uptrends, yellow for confluences), dynamic line widths (thicker for slower EMAs), trend state labels, and a table-based dashboard displaying metrics like market regime, trend strength percentage, EMA slopes in degrees, price distances to key EMAs, volume status, and alignment state.
Customization Presets: Pre-configured EMA lengths for Scalping (short, reactive: e.g., 5/8/13), Day Trading (balanced: 9/21/50), Swing Trading (medium-term: 20/50/100), Position Trading (long-term: 50/100/150), or fully custom.
The result is a versatile tool that adapts to any timeframe or asset, helping traders identify high-probability setups by combining trend momentum, volume, and EMA dynamics.
How It Works: Underlying Concepts and Calculations
Without revealing the full implementation, here's a transparent overview of the key concepts and methodologies to help users understand the indicator's logic:
EMA Calculation and Presets: EMAs are computed using standard exponential smoothing (weighting recent prices more heavily). Presets optimize lengths based on trading horizon—shorter for scalping to capture quick reversals, longer for position trading to filter noise. For example, Swing preset uses 20/50/100/150/200 to balance short-term pullbacks with long-term trends, derived from Fibonacci-inspired progressions for natural market rhythm alignment.
Trend Detection Methods: Users select from four algorithms for flexibility:
Multi-Bar Slope (Default): Calculates the average slope over a lookback period (e.g., 3 bars) as (current EMA value - EMA value ) / lookback. Normalizes to a percentage relative to the EMA value: slope_percent = (slope / EMA) * 100. Thresholds classify trends (e.g., >0.05% = strong bullish; 0.01-0.05% = weak; symmetric for bearish). This method draws from linear regression concepts but simplifies for real-time use, providing robust trend quantification over simple bar-to-bar changes.
Previous Bar: Compares current EMA to the prior bar's, with percentage change thresholds (e.g., >0.1% = strong) for quick momentum shifts.
EMA vs EMA: Measures the percentage difference between fast and slow EMAs (e.g., >2% = strong bullish), inspired by MACD-like divergence but applied directly to EMAs.
Price Position: Gauges price's percentage distance from the EMA (e.g., >1% above = strong bullish), similar to envelope channels but integrated into trend coloring.
Trend strength is further scored (0-100%) by averaging absolute slopes of key EMAs, scaled for dashboard display.
Volume Confirmation: Uses a simple moving average of volume over a user-defined length (default 20), requiring current volume to exceed it by a multiplier (default 1.2x) for signal validation. This filters out low-volume fakeouts, akin to institutional volume-weighted strategies.
EMA Alignment: Checks if all visible EMAs are in strict order (fastest highest in uptrends, lowest in downtrends) by iterating through active EMAs and verifying sequential relationships. Signals "ALIGNED" shapes when true, indicating stacked trends like in ribbon strategies but with programmatic validation.
EMA Confluence: Computes the average of active EMAs, then measures the maximum percentage deviation of any EMA from this average. If below a threshold (default 0.5%), marks a "CONFLUENCE ZONE" box, conceptually similar to Bollinger Band squeezes but applied to EMA clusters for reversal anticipation.
Market Regime Classification: Combines alignment, trend score (>30% for "strong"), and price position relative to slowest EMA. For example, bullish alignment + high score = "Strong Uptrend"; close clustering = "Consolidation". This heuristic draws from regime-switching models in quantitative finance.
Signals and Visuals: Crossovers between user-selected EMAs (e.g., fast #1 over slow #2) plot "BUY/SELL" shapes only if volume-confirmed. Ribbons use color fills (green/red) based on EMA order; background shades reflect regime; S/R lines extend from max/min EMAs below/above price over a lookback (default 50 bars).
These calculations ensure the indicator provides actionable, multi-confirmed insights rather than generic plots.
How to Use It
Setup: Add to your chart and select a preset (e.g., "Swing Trading" for 1H-4H charts). Customize trend method (start with "Multi-Bar Slope" for accuracy), enable volume filter for reliability, and toggle visuals like ribbons or dashboard.
Trend Following: In a "Strong Uptrend" (green background, upward slopes >30%, bullish alignment), go long above the fastest EMA. Use S/R lines for stops (below nearest support EMA).
Swing Trading Example: On a daily SPX chart with Swing preset:
Wait for "Weak Uptrend" transition to "Strong" (trend score >50%, positive slopes, volume spike).
Enter long on EMA1 (20) crossing EMA2 (50), confirmed by "BUY" signal.
Target next resistance EMA (e.g., 150), exit on bearish crossover or confluence zone (yellow box signaling potential top).
Risk: Stop below EMA3 (100); aim for 2:1 reward:risk on multi-day holds.
Scalp Trading Example: On a 5-min BTCUSD chart with Scalping preset:
Focus on quick "Weak Bullish" shifts (faded green EMAs, slope >0.01%).
Buy on EMA1 (5) crossing EMA3 (13) with high volume (>1.5x avg).
Scalp 0.2-0.5% gains, exit at slope flattening (dashboard shows <30% strength) or nearest resistance.
Avoid confluences (chop); use 1-min for entries, 15-min for bias.
General Tips:
Combine with price action (e.g., candlestick patterns at confluence zones).
Backtest presets on your asset—adjust thresholds for volatility (e.g., tighter confluence for forex).
Use alerts for hands-off monitoring; multi-timeframe analysis enhances accuracy (higher TF for regime, lower for signals).
For ranging markets ("Neutral" regime), fade extremes near S/R zones.
Examples for Swing Trading
Swing trading focuses on capturing medium-term moves (days to weeks) in trending markets. Use the "Swing Trading" preset, which sets EMAs to 20, 50, 100, 150, 200, 75, 125—balancing sensitivity and smoothness.
Bullish Setup Example: On a daily chart of AAPL, wait for a "Strong Uptrend" regime (green background, bullish alignment label, trend strength >50%). Enter long on a valid bullish crossover (green "BUY" circle) between EMA1 (20) and EMA2 (50), confirmed by high volume. Set stop below nearest support EMA (e.g., EMA3 at 100), target 2-3x risk or next resistance. Hold until bearish crossover or alignment breaks.
Bearish Setup Example: On a 4H chart of EURUSD, spot a "Strong Downtrend" (red background, bearish alignment). Short on a bearish crossover (red "SELL") between EMA1 and EMA3, with volume confirmation. Stop above nearest resistance EMA, exit on confluence zone (yellow) signaling potential reversal.
Tip: Focus on alignments for trend confirmation—avoid trading against them. Use confluence zones as profit-taking areas in ranging markets.
Examples for Scalp Trading
Scalping targets quick, short-term trades (minutes to hours) on lower timeframes. Select the "Scalping" preset for shorter EMAs (5, 8, 13, 21, 34, 55, 89) to catch rapid moves.
Bullish Setup Example: On a 1-min chart of BTCUSD, look for "Weak Uptrend" (faded green background, positive slopes). Enter long on a fast crossover (e.g., EMA1 over EMA2) with high volume and no confluence (avoid chop). Scalp for 0.5-1% gain, exit on slope flattening or bearish cross. Use tight stops below the fastest EMA.
Bearish Setup Example: On a 5-min chart of TSLA, identify "Weak Downtrend" (faded red). Short on a crossover between EMA2 and EMA3, confirmed by volume spike. Target small moves (e.g., 10-20 pips), exit at nearest support EMA or if trend strength drops below 30%.
Tip: Prioritize "Multi-Bar Slope" detection for quick trend shifts. Disable background if it's distracting; focus on crossovers and volume for high-frequency entries. Avoid during confluences, as they signal choppy conditions.
This detailed approach ensures traders can replicate setups while appreciating the indicator's original value. Feedback welcome—let's refine trading edges together!
Wyckoff Effort vs. Result📌 Wyckoff Effort vs. Result (E/R) – Visualizing Supply & Demand Imbalance with Volume Confirmation
📖 Overview
The Wyckoff Effort vs. Result (E/R) indicator is designed to help traders interpret market behavior through the lens of volume vs. price movement — a foundational concept in Richard Wyckoff’s methodology.
This tool aims to highlight moments where the “effort” (volume) is not in proportion to the “result” (price movement) — giving insight into potential accumulation or distribution events.
By detecting high-volume candles and classifying them based on their price direction, the indicator visualizes zones where smart money might be active .
⚙️ How It Works
1. Effort Accumulation (High Volume Down Bar):
• When a candle closes lower than it opens (down bar) and has above-average volume , it’s marked as potential absorption of selling pressure (effort to push down met by buying).
• These candles are colored red and the open level is plotted, acting as a potential support or re-test zone.
2. Effort Distribution (High Volume Up Bar):
• When a candle closes higher than it opens (up bar) and has above-average volume , it’s marked as potential distribution (effort to push up absorbed by sellers).
• These candles are colored green and the open level is plotted , acting as a potential resistance or rejection zone.
3. Average Volume Calculation:
• The script calculates a simple moving average (SMA) of volume over a user-defined lookback period.
• If current volume exceeds the average multiplied by a set threshold, it’s treated as a high-effort bar .
🧪 Inputs
Input Description
Average Volume Lookback - Number of bars used to calculate the volume average
High Volume Multiplier. - Multiplier to define what qualifies as “high volume”
🖥️ Visual Output
• 🔴 Red candles = High volume on a down bar → possible accumulation
• 🟢 Green candles = High volume on an up bar → possible distribution
• 📉 Horizontal lines at bar open price mark the potential zones where effort occurred
These zones can serve as:
• Areas of support/resistance
• Trap zones where smart money absorbs liquidity
• Entry/exit filters when combined with price action
🧠 How to Use
• Use in combination with price structure, support/resistance, and volume profile tools
• Watch how price reacts when it revisits the plotted lines
• Look for effort bars that fail to lead to continuation, signaling potential reversal
• Can be used in scalping, swing trading, or Wyckoff-style phase analysis
🔒 Technical Notes
• ✅ Does not repaint
• ✅ Built with Pine Script v6
• ✅ Lightweight and customizable
• ❌ Does not generate buy/sell signals — it provides context, not predictions
GOLDSNIPERThe Gold Sniper Indicator is a precision trading tool designed specifically for scalping and intraday trading Gold (XAUUSD) on TradingView.
It automatically plots institutional key levels, detects breakout & retest opportunities, and provides trade management levels (Stop Loss & Take Profit) for structured, disciplined trading.
Aug 6
Release Notes
The Gold Sniper Indicator is a precision trading tool designed specifically for scalping and intraday trading Gold (XAUUSD) on TradingView.
It automatically plots institutional key levels, detects breakout & retest opportunities, and provides trade management levels (Stop Loss & Take Profit) for structured, disciplined trading
Aug 13
Release Notes
The Gold Sniper Indicator is a precision trading tool designed specifically for scalping and intraday trading Gold (XAUUSD) on TradingView.
It automatically plots institutional key levels, detects breakout & retest opportunities, and provides trade management levels (Stop Loss & Take Profit) for structured, disciplined trading.
3 days ago
Release Notes
The Gold Sniper Indicator is a precision TradingView tool for scalping and intraday trading Gold (XAUUSD).
It is built around a break-and-retest strategy with clear trade management: 10 pip Stop Loss, 20 pip TP1, and 35 pip TP2.
The indicator automatically:
• Plots institutional key levels and supply & demand zones
• Detects breakout and retest opportunities in real time
• Provides stop loss and take profit levels for structured, disciplined trading
Whether you’re a scalper or day trader, Gold Sniper helps you catch high-probability setups on XAUUSD with precise risk-to-reward ratios (1:1 and 1:3).
Uptrick: ATR ModelIntroduction
The Uptrick: ATR Model is a multi-regime directional tool designed to adapt to various trading styles and timeframes. It combines trend assessment, market state evaluation, visual overlays, and signal filtering into a single, highly configurable system. This indicator is intended to help traders interpret directional conditions, structure their entries and exits, and view real-time shifts in market context, all without relying on external scripts or multiple chart layers.
Core Functionality
At its foundation, the Uptrick: ATR Model builds a framework that responds to user-defined structure and market behavior. Through a wide range of inputs, traders can adjust the internal responsiveness, signal frequency, and volatility interaction of the system. The core behavior of the model can be shaped via:
Custom starting date for signal activation
Flexible smoothing structure
Adjustable expansion control for range boundaries
Signal persistence settings to limit noise
Conditional plotting of directional signals
Real-time bar coloring and overlays
Custom routing between long, short, and neutral positioning
This indicator is not tied to a single interpretation of market movement. Instead, it adapts to how the user defines structural behavior, volatility confirmation, and trend alignment.
Multi-Regime Architecture
The script includes four unique operating regimes, each offering a distinct model of interpreting market conditions:
Trend Mode
This regime focuses on trend state transitions over time. Signal behavior is aligned with directional market shifts and transitions are plotted with visual labels. Optional filters and persistence settings help control signal quality and responsiveness.
Cloud Close Mode
Cloud Close mode detects transitions when price interacts with dynamic boundaries. Signals are generated when the asset moves in or out of these ranges. This regime supports state memory to avoid repeated signals and emphasizes confirmation over reactivity.
Lightning Trend Mode
This mode evaluates momentum alignment across selected structures. Its behavior is based on composite assessments and dynamically reflects changes in directional agreement. This regime is well-suited for intraday or high-resolution users seeking visual confirmation of trend shifts.
Final Verdict Mode
A meta-regime that combines the output of the other three modes into a single directional consensus. A live decision table is displayed on-screen, showing the current verdict of each regime and a final, averaged output. This mode is designed for high-conviction or conservative traders who prefer confirmation across multiple systems.
Each regime can be enabled through a single selector, and the indicator adapts its signal behavior and bar coloring to reflect the active mode.
Signal System and Visual Feedback
The indicator generates Long, Short, or Cash (neutral/exit) signals depending on the active regime, directional configuration, and filter conditions. Signal shapes are plotted only once per state transition and are color-coded for clarity.
Users can define:
Whether signals should support both long and short, or long-only
Whether repeated signals are allowed (pyramiding control)
Whether to enforce a minimum number of confirming bars before a signal is allowed (persistence)
Signals are accompanied by real-time bar coloring, giving users an instant visual cue of the current state without relying on shape markers alone. These signals adjust based on the selected regime and are subject to any active confirmation filters.
Confirmation Filters
To reduce noise and improve the relevance of each signal, the model includes two optional filters:
Strength Filter
[Applies a condition based on the asset’s momentum. When enabled, signals will only fire if this condition aligns with the trade direction. Includes parameters for sensitivity and smoothness.
Trend Filter
Applies a directional filter based on a broader trend context. Signals will only trigger when this larger structure supports the directional bias. This filter is useful for avoiding signals during counter-trend moves or consolidations.
Both filters can be toggled independently. When disabled, the model will operate with fewer restrictions.
Dynamic Structure Customization
Users can control how the internal structure of the model behaves using:
Source selection (e.g., close, open, high, etc.)
Smoothing configuration using a tiered structure with up to three stages
Custom length inputs to adjust responsiveness
Selectable method options for each layer
Expansion settings to adjust the distance of dynamic boundaries
Signal persistence threshold to delay entries until confirmation is met
This modular control allows traders to define whether they want faster reaction to movement or more conservative, delayed responses depending on their strategy.
Final Verdict Table
The Final Verdict table is a live display that summarizes the signal output of the three core regimes (Trend, Cloud Close, and Lightning Trend). It includes:
Regime names and their current directional state
Directional scores for each regime
A final averaged score and directional label
The table is updated every bar and is fully customizable:
Position on screen (top left, center, bottom right, etc.)
Text size for readability
Color-coded state labels for fast interpretation
This feature is designed to offer structured decision support by showing consensus or divergence across all logic models in real time.
Static Levels Module
An optional module allows the user to anchor a high point (typically an all-time high) from a user-defined historical date. From that anchor, multiple levels are projected downward using fixed ratios. These levels are:
Automatically updated when new highs occur
Visualized using horizontal step-lines
Fully customizable in terms of count, color, and source
These levels serve as contextual guides and can assist with price projection, risk management, or discretionary confluence zones.
Directional Control
The model supports both Long & Short and Long Only signal modes. In Long Only mode, exit signals are routed to neutral (Cash) instead of Short. This allows users to align the indicator with personal strategy, risk appetite, or portfolio rules. Neutral signals are also plotted with distinct labels and coloring to indicate a directional reset.
Input Summary
All components of the script are user-configurable through the following inputs:
Start date selector to restrict signal generation
Source selection for core price input
Custom lengths and responsiveness settings
Smoothing structure with optional stacking
Expansion control for range width
Signal persistence threshold
Signal type selector (long-only or long & short)
Regime selector between four logic systems
Filters: strength-based and trend-based
Verdict table display settings (position and size)
Static levels: anchor date, count, source, and visual customization
Originality
What sets the Uptrick: ATR Model apart is its integration of multiple directional systems into a single, configurable interface. Each regime is distinct and interprets market behavior from a unique perspective, while the Final Verdict mode offers a consolidated view that few tools provide in a fully visual and non-redundant format. The Lightning Trend scoring engine and modular structural design offer a level of control and flexibility uncommon in single-layer indicators. The combination of signal gating, decision tables, and state tracking creates a cohesive, structured environment for directional evaluation.
Summary
The Uptrick: ATR Model is a complete directional and volatility analysis system designed for customizable trend evaluation, signal clarity, and strategic filtering. It adapts to different trader needs through its configurable regimes, state-aware signals, dynamic overlays, and visual decision tools. It is suitable for discretionary traders seeking structured guidance, as well as systematic users who require configurable state management and signal control.
Disclaimer
This tool is provided for informational and research purposes only. It does not constitute investment advice or a recommendation to buy or sell any financial instrument. All trading involves risk, and past performance does not guarantee future results. Users are solely responsible for their own decisions.
Algorithmic Value Oscillator [CRYPTIK1]Algorithmic Value Oscillator
Introduction: What is the AVO? Welcome to the Algorithmic Value Oscillator (AVO), a powerful, modern momentum indicator that reframes the classic "overbought" and "oversold" concept. Instead of relying on a fixed lookback period like a standard RSI, the AVO measures the current price relative to a significant, higher-timeframe Value Zone .
This gives you a more contextual and structural understanding of price. The core question it answers is not just "Is the price moving up or down quickly?" but rather, " Where is the current price in relation to its recently established area of value? "
This allows traders to identify true "premium" (overbought) and "discount" (oversold) levels with greater accuracy, all presented with a clean, futuristic aesthetic designed for the modern trader.
The Core Concept: Price vs. Value The market is constantly trying to find equilibrium. The AVO is built on the principle that the high and low of a significant prior period (like the previous day or week) create a powerful area of perceived value.
The Value Zone: The range between the high and low of the selected higher timeframe.
Premium Territory (Distribution Zone): When the oscillator moves into the glowing pink/purple zone above +100, it is trading at a premium.
Discount Territory (Accumulation Zone): When the oscillator moves into the glowing teal/blue zone below -100, it is trading at a discount.
Key Features
1. Glowing Gradient Oscillator: The main oscillator line is a dynamic visual guide to momentum.
The line changes color smoothly from light blue to neon teal as bullish momentum increases.
It shifts from hot pink to bright purple as bearish momentum increases.
Multiple transparent layers create a professional "glow" effect, making the trend easy to see at a glance.
2. Dynamic Volatility Histogram: This histogram at the bottom of the indicator is a custom volatility meter. It has been engineered to be adaptive, ensuring that the visual differences between high and low volatility are always clear and dramatic, no matter your zoom level. It uses a multi-color gradient to visualize the intensity of market volatility.
3. Volatility Regime Dashboard: This simple on-screen table analyzes the histogram and provides a clear, one-word summary of the current market state: Compressing, Stable, or Expanding.
How to Use the AVO: Trading Strategies
1. Reversion Trading This is the most direct way to use the indicator.
Look for Buys: When the AVO line drops into the teal "Accumulation Zone" (below -100), the price is trading at a discount. Watch for the oscillator to form a bottom and start turning up as a signal that buying pressure is returning.
Look for Sells: When the AVO line moves into the pink "Distribution Zone" (above +100), the price is trading at a premium. Watch for the oscillator to form a peak and start turning down as a signal that selling pressure is increasing.
2. Best Practices & Settings
Timeframe Synergy: The AVO is most effective when your chart timeframe is lower than your selected "Value Zone Source." For example, if you trade on the 1-hour chart, set your Value Zone to "Previous Day."
Confirmation is Key: This indicator provides powerful context, but it should not be used in isolation. Always combine its readings with your primary analysis, such as market structure and support/resistance levels.
Demand & Supply Smart Zones (Riz)A professional zone engine that detects, ranks, and maintains Supply and Demand areas across multiple timeframes. It combines swing structure, engulfing/imbalance logic, optional liquidity-sweep validation, and trend/volume filters. Zones are refined, merged, aged, and removed automatically, while a dashboard and mini-map summarize the state of the market at a glance.
How it works (why this isn’t a simple mashup)
⦁ Zone Detection (Auto/Manual/Hybrid):
⦁ Auto finds zones from three independent catalysts: swing turns, engulfing patterns, and imbalance candles.
⦁ Manual lets you define a zone precisely (top/bottom + type).
⦁ Hybrid adds your manual zones on top of the model’s detections.
⦁ Strength Model: Each zone receives a score using ATR-scaled size, relative volume (vs SMA), timeframe weight (higher TF = more authority), and session context (optional Killzone boost). This surfaces the most actionable areas rather than plotting everything.
⦁ Filters for Quality (Conservative/Aggressive):
⦁ Conservative can require trend alignment (EMA), volume validation, wide-body candles, structure context, and optional liquidity sweep checks.
⦁ Aggressive relaxes filters for faster, more frequent zones (e.g., scalping).
⦁ Refinement & Styling: Zones can be refined by wick, body, or hybrid logic to avoid over-sized regions. Visuals support solid/gradient/border styles, fresh/retest labels, and a heat-map emoji for strength.
⦁ Lifecycle Management: Zones can auto-delete on touch, delete on break, shrink on retests, expire after X bars, and cap retests. Old/merged zones are cleaned up to keep charts responsive.
⦁ Multi-Timeframe (MTF) Logic: Detects and optionally normalizes HTF zones (e.g., 60/240/D). Overlapping zones are merged across TFs with the higher TF taking precedence and receiving a small strength bonus. This prevents duplication and emphasizes institutional levels.
⦁ Proximity & Interaction Alerts: Alerts can fire on approach, first entry, and break, with separate Supply/Demand variants and per-TF options. An internal tracker avoids duplicate alert spam.
On-chart tools
⦁ Zones: Supply (red) / Demand (green), with “Fresh” or “R#” labels and strength heat-map.
⦁ Dashboard: Counts zones per TF, shows nearest supply/demand (in pips), trend state, and mode.
⦁ Mini-Map: A compact list of the 10 closest zones with TF, freshness, strength, and distance.
⦁ Trend Line (optional): EMA for directional context.
⦁ Killzone Background (optional): Session emphasis for timing.
Inputs & Key Options
⦁ Detection Mode: Auto · Manual · Hybrid
⦁ Strictness: Aggressive (more zones) · Conservative (fewer, higher quality)
⦁ Catalysts: Engulfing, Imbalance (ATR + volume threshold), Swing strength
⦁ Filters: Volume multiplier, wide-body %, trend EMA, structure checks, liquidity sweep lookback
⦁ MTF: Up to 3 higher TFs, with normalization to prevent oversized zones and priority stacking
⦁ Management: Auto-delete on touch, delete on break, dynamic shrinking, expiry bars, max retests
⦁ Merging: Overlap threshold and cross-TF consolidation
⦁ Alerts: Proximity (distance in pips), First Entry (fresh touch), Break, per-TF toggles
⦁ Display: Labels, size, heat-map, merging tags, dashboard position, mini-map
How to use
1. Choose Strictness
⦁ Conservative for swing/HTF traders who prefer cleaner, stronger zones.
⦁ Aggressive for scalpers who want earlier, more frequent levels.
2. Enable MTF and set HTF1/HTF2(/HTF3). Turn on Normalization to avoid giant HTF boxes.
3. Pick Catalysts & Filters. Start with Engulfing + Imbalance + Swing. Add volume/EMA/liquidity filters for quality.
4. Watch the Dashboard: It highlights mode, counts per TF, nearest zones (with distance), and overall trend.
5. Trade the Interaction:
⦁ Proximity alert → prepare;
⦁ First entry (fresh touch) → your confirmation rules;
⦁ Break → consider flips or invalidation.
6. Manual Zones (Hybrid): Add precise institutional levels and let the engine manage them (shrink, expire, merge).
Alerts (titles you’ll see)
⦁ Zone Proximity – approach within X pips
⦁ Zone Entry / Supply Zone Entry / Demand Zone Entry – first touch
⦁ Zone Break / Supply Zone Break / Demand Zone Break – clean break
⦁ Current TF / HTF1 / HTF2 Zone Alert – timeframe-specific triggers
⦁ Any Zone Alert – catch-all for any interaction
Notes & Tips
⦁ Fresh > Retested: First touches generally score better and are labeled accordingly.
⦁ Context Matters: Combining HTF zones with trend and volume filters significantly improves selectivity.
⦁ Performance: Zone limits and periodic cleanup are built in. If you plot many HTFs with Aggressive mode, consider raising strictness or lowering max zones.
Disclaimer
This tool is for educational and analytical purposes only. It does not constitute financial advice, nor does it guarantee outcomes. Trading involves risk; use proper risk management and your own judgment.
Intraday Buy/Sell/Average Zones by Chaitu50cIntraday Buy/Sell/Average Zones by chaitu50c
Timeframe:
Tested on the 5-minute chart.
Recommended timeframe: 5-minute
What it does
This indicator marks intraday Buy (green) and Sell (red) zones made by strong close-confirmed breakouts. These zones act as support/resistance. If price later closes through a zone, the zone changes color from that bar forward (support ↔ resistance). It can flip more than once.
How zones form
Single breakout: an opposite-type candle closes beyond the previous candle’s high/low.
Double breakout: a base candle, then two opposite-type candles, and the second one closes beyond the base high/low.
Zone size
Buy zone: from the combo lowest low up to the nearest open/close of the combo.
Sell zone: from the combo highest high down to the nearest open/close of the combo.
Color shift (optional)
If price closes through a zone, it flips color at that bar and behaves as the other side (support ↔ resistance). Flips can happen again later.
Overlap control
When a new zone overlaps an existing same-color zone in the same session, choose:
Merge (combine), or
Suppress (ignore the new one).
Flipped zones use their current color for this.
Right edge & session
All zones extend to the right (your offset). Detection is limited to your chosen session, and you can show only the last N sessions.
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How to trade (simple)
A) Initial breakout trade
When a new zone forms, that breakout itself can be a trade idea in the breakout direction, The stoploss will be the zone.
B) Zone breakout trade (flip)
If price later closes out of a zone and it changes color, that breakout is another trade opportunity in the new direction.
C) Retrace & average trade
When price retests a zone, wait for a confirmation candle in the zone’s favor
— bullish close for a green zone, bearish close for a red zone — then average entries inside/near the zone.
Place stops just beyond the opposite edge of the zone.
If the zone flips color, stop averaging; bias changed.
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Key settings
Breakout type: Single and/or Double
Confirm on Close: strict mode (no intrabar preview) or allow intrabar preview that auto-removes if fail
Color Shift on Breaks: on/off
Same-Type Overlap: Merge/Suppress
Session, Sessions to Display, Right Offset, Colors, Max Zones
Reminder: Best results on the 5-minute timeframe (tested and recommended).
Key Levels: Daily, Weekly, Monthly [BackQuant]Key Levels: Daily, Weekly, Monthly
Map the market’s “memory” in one glance—yesterday’s range, this week’s chosen day high/low, and D/W/M opens—then auto-clean levels once they break.
What it does
This tool plots three families of high-signal reference lines and keeps them tidy as price evolves:
Chosen Day High/Low (per week) — Pick a weekday (e.g., Monday). For each past week, the script records that day’s session high and low and projects them forward for a configurable number of bars. These act like “memory levels” that price often revisits.
Daily / Weekly / Monthly Opens — Plots the opening price of each new day, week, and month with separate styling. These opens frequently behave like magnets/flip lines intraday and anchors for regime on higher timeframes.
Auto-pruning — When price breaks a stored level, the script can automatically remove it to reduce clutter and refocus you on still-active lines. See: (broken levels removed).
Why these levels matter
Liquidity pockets — Prior day’s high/low and the daily open concentrate stops and pending orders. Mapping them quickly reveals likely sweep or fade zones. Example: previous day highs + daily open highlighting liquidity:
Context & regime — Monthly opens frame macro bias; trading above a rising cluster of monthly opens vs. below gives a clean top-down read. Example: monthly-only “macro outlook” view:
Cleaner charts — Auto-remove broken lines so you focus on what still matters right now.
What it plots (at a glance)
Past Chosen Day High/Low for up to N prior weeks (your choice), extended right.
Current Daily Open , Weekly Open , and Monthly Open , each with its own color, label, and forward extension.
Optional short labels (e.g., “Mon High”) or full labels (with week/month info).
How breaks are detected & cleaned
You control both the evidence and the timing of a “break”:
Break uses — Choose Close (more conservative) or Wick (more sensitive).
Inclusive? — If enabled, equality counts (≥ high or ≤ low). If disabled, you need a strict cross.
Allow intraday breaks? — If on, a level can break during the tracked day; if off, the script only counts breaks after the session completes.
Remove Broken Levels — When a break is confirmed, the line/label is deleted automatically. (See the demo: )
Quick start
Pick a Day of Week to Track (e.g., Monday).
Set how many weeks back to show (e.g., 8–10).
Choose how far to extend each family (bars to the right for chosen-day H/L and D/W/M opens).
Decide if a break uses Close or Wick , and whether equality counts.
Toggle Remove Broken Levels to keep the chart clean automatically.
Tips by use-case
Intraday bias — Watch the Daily Open as a magnet/flip. If price gaps above and holds, pullbacks to the daily open often decide direction. Pair with last day’s high/low for sweep→reversal or true breakout cues. See:
Weekly structure — Track the week’s chosen day (e.g., Monday) high/low across prior weeks. If price stalls near a cluster of old “Monday Highs,” look for sweep/reject patterns or continuation on reclaim.
Macro regime — Hide daily/weekly lines and keep only Monthly Opens to read bigger cycles at a glance (BTC/crypto especially). Example:
Customization
Use wicks or bodies for highs/lows (wicks capture extremes; bodies are stricter).
Line style & thickness — solid/dashed/dotted, width 1–5, plus global transparency.
Labels — Abbreviated (“Mon High”, “D Open”) or full (month/week/day info).
Color scheme — Separate colors for highs, lows, and each of D/W/M opens.
Capacity controls — Set how many daily/weekly/monthly opens and how many weeks of chosen-day H/L to keep visible.
What’s under the hood
On your selected weekday, the script records that session’s true high and true low (using wicks or body-based extremes—your choice), then projects a horizontal line forward for the next bars.
At each new day/week/month , it records the opening price and projects that line forward as well.
Each bar, the script checks your “break” rules; once broken, lines/labels are removed if auto-cleaning is on.
Everything updates in real time; past levels don’t repaint after the session finishes.
Recommended presets
Day trading — Weeks back: 6–10; extend D/W opens: 50–100 bars; Break uses: Close ; Inclusive: off; Auto-remove: on.
Swing — Fewer daily opens, more weekly opens (2–6), and 8–12 weeks of chosen-day H/L.
Macro — Show only Monthly Opens (1–6 months), dashed style, thicker lines for clarity.
Reading the examples
Broken lines disappear — decluttering in action:
Macro outlook — monthly opens as cycle rails:
Liquidity map — previous day highs + daily open:
Final note
These are not “signals”—they’re reference points that many participants watch. By standardising how you draw them and automatically clearing the ones that no longer matter, you turn a noisy chart into a focused map: where liquidity likely sits, where price memory lives, and which lines are still in play.
High Probability Order Blocks [AlgoAlpha]🟠 OVERVIEW
This script detects and visualizes high-probability order blocks by combining a volatility-based z-score trigger with a statistical survival model inspired by Kaplan-Meier estimation. It builds and manages bullish and bearish order blocks dynamically on the chart, displays live survival probabilities per block, and plots optional rejection signals. What makes this tool unique is its use of historical mitigation behavior to estimate and plot how likely each zone is to persist, offering traders a probabilistic perspective on order block strength—something rarely seen in retail indicators.
🟠 CONCEPTS
Order blocks are regions of strong institutional interest, often marked by large imbalances between buying and selling. This script identifies those areas using z-score thresholds on directional distance (up or down candles), detecting statistically significant moves that signal potential smart money footprints. A bullish block is drawn when a strong up-move (zUp > 4) follows a down candle, and vice versa for bearish blocks. Over time, each block is evaluated: if price “mitigates” it (i.e., closes cleanly past the opposite side and confirmed with a 1 bar delay), it’s considered resolved and logged. These resolved blocks then inform a Kaplan-Meier-like survival curve, estimating the likelihood that future blocks of a given age will remain unbroken. The indicator then draws a probability curve for each side (bull/bear), updating it in real time.
🟠 FEATURES
Live label inside each block showing survival probability or “N.E.D.” if insufficient data.
Kaplan-Meier survival curves drawn directly on the chart to show estimated strength decay.
Rejection markers (▲ ▼) if price bounces cleanly off an active order block.
Alerts for zone creation and rejection signals, supporting rule-based trading workflows.
🟠 USAGE
Read the label inside each block for Age | Survival% (or N.E.D. if there aren’t enough samples yet); higher survival % suggests blocks of that age have historically lasted longer.
Use the right-side survival curves to gauge how probability decays with age for bull vs bear blocks, and align entries with the side showing stronger survival at current age.
Treat ▲ (bullish rejection) and ▼ (bearish rejection) as optional confluence when price tests a boundary and fails to break.
Turn on alerts for “Bullish Zone Created,” “Bearish Zone Created,” and rejection signals so you don’t need to watch constantly.
If your chart gets crowded, enable Prevent Overlap ; tune Max Box Age to your timeframe; and adjust KM Training Window / Minimum Samples to trade off responsiveness vs stability.
The Quasar Strategy Magic LevelsThis indicator plots key market levels that remain valid from 4:00pm New York close until the next day’s 4:00pm close.
The core logic combines:
A custom Goldbach-inspired range,
Circuit breaker percentages,
And hidden PO3 overlays.
These levels often act as magnets, targets, and later as support or resistance zones.
The central line of the whole range is what I call “the restaurant” — a strong attraction point where prices tend to gravitate, especially after the 9:30 a.m. opening.
Since these levels are based on a certain fixed price in a %, they will change over time. Then I will updated the indicator.
Use these levels as a confluence with your own trading strategy for entries and exits.
ZoneRadar by Chaitu50cZoneRadar
ZoneRadar is a tool designed to detect and visualize hidden buy or sell pressures in the market. Using a Z-Score based imbalance model, it identifies areas where buyers or sellers step in with strong momentum and highlights them as dynamic supply and demand zones.
How It Works
Z-Score Imbalance : Calculates statistical deviations in order flow (bull vs. bear pressure).
Buy & Sell Triggers: Detects when imbalances cross predefined thresholds.
Smart Zones: Marks potential buy (green) or sell (red) zones directly on your chart.
Auto-Merge & Clean: Overlapping or noisy zones are automatically merged to keep the chart clean.
History Control: Keeps only the most recent and strongest zones for focus.
Key Features
Customizable Z-Score level and lookback period
Cooldown filter to avoid over-signaling
Smart zone merging to prevent clutter
Adjustable price tolerance for merging overlapping zones (ticks)
Extend zones into the future with right extensions
Fully customizable colors and display settings
Alert conditions for Buy Pressure and Sell Pressure
Why ZoneRadar?
Simplifies complex order flow into clear, tradable zones
Helps identify high-probability reversal or continuation levels
Avoids noise by keeping only the cleanest zones
Works across any timeframe or market (stocks, futures, forex, crypto)
Disclaimer
This tool is designed for educational and informational purposes only. It does not provide financial advice. Always test on demo and combine with your own trading strategy.
MTF MidpointsOverview :
The MTF Midpoints indicator provides comprehensive multi-timeframe analysis by displaying mid points that act as support / resistance. It also comes with the ability to view trend strength across multiple timeframes.
Key Features :
1) Multi-Timeframe Support -
- 1 Minute, 5 Minute, 15 Minute, 1 Hour, and 4 Hour timeframes.
- Each timeframe displays its calculated midpoint level.
- Toggle individual timeframes on/off as needed.
2) Dynamic Trend Calculation
- Calculates trend direction based on configurable lookback period (default: 30 bars).
- Identifies swing highs and lows to determine trend changes.
- Computes midpoint levels as the average between current swing high and low.
- Tracks price action relative to midpoint to gauge trend strength.
3) Visual Elements -
- Colored Lines : Each timeframe displays as a distinct colored line.
- Fill Areas : Main timeframe shows colored fills above and below midpoint.
- Info Table : Real-time summary of all timeframe data with trend percentages.
4) Customization Options -
- Colors : Individual color settings for each timeframe.
- Display : Adjustable line width, label sizes, and positioning.
- Labels : Toggle price display in labels, customize text color and size.
- Info Table: Configurable info table with trend strength indicators.
How It Works :-
The indicator uses a proprietary algorithm that:
1. Monitors price action over a specified lookback period.
2. Identifies trend direction changes based on new highs/lows.
3. Calculates dynamic support/resistance levels (midpoints).
4. Tracks closes above/below midpoint to determine trend bias.
5. Displays trend strength as a percentage in both table and candle colors.
Trading Applications :-
- Confluence Analysis : Identify where multiple timeframe midpoints align.
- Support/Resistance : Use midpoints as dynamic S/R levels.
- Trend Assessment : Gauge trend strength across different timeframes.
- Entry/Exit Points : Look for price reactions at key midpoint levels.
- Risk Management : Use midpoints to set stop losses and profit targets.
Disclaimer :
This indicator is for educational and analysis purposes. It does not constitute financial advice. Always conduct your own research and consider your risk tolerance before making trading decisions. Past performance does not guarantee future results.
Machine Learning-Inspired Supply & Demand Zones [AlgoPoint]This indicator is a Smart Supply & Demand Zone tool, developed with principles inspired by Machine Learning (ML). It intelligently filters out market noise, allowing you to focus only on the most significant zones where institutional order flow is likely present.
💡 How It Works: Why Is This Indicator "Smart"?
Unlike traditional indicators that only measure simple price movements, this script uses an algorithm that asks the same critical questions an experienced market analyst would to qualify a zone:
- 1. Price Imbalance: How fast and aggressively did the price leave the zone? Our algorithm measures the body size of the "departure candle" relative to the current market volatility (ATR). A zone is only considered if it was formed by an explosive move that is statistically significant, indicating a major imbalance between buyers and sellers.
- 2. Volume Confirmation: Did the "smart money" participate in this move? The script checks if the volume on the departure candle was significantly higher than the recent average volume. A spike in volume confirms that the move was backed by institutional interest, adding strength and validity to the zone.
- 3. Valid Pivot Structure: Did the zone originate from a meaningful swing high or low? The algorithm first identifies a valid pivot structure, ensuring that zones are not drawn from insignificant or random price fluctuations.
Only when a potential zone passes these three critical tests—our "quality filter"—is it drawn on your chart.
🚀 Features & How to Use
Using the indicator is straightforward. You will see two primary types of boxes on your chart:
* 🟥 Red Box (Supply Zone): An area of potential resistance where selling pressure is likely to be strong. Look for potential shorting opportunities as the price approaches this zone.
* 🟩 Green Box (Demand Zone): An area of potential support where buying pressure is likely to be strong. Look for potential long opportunities as the price pulls back into this zone.
Dynamic Zone Management
This indicator is not static; it lives and breathes with the market:
- Fresh Zone: A newly formed zone appears in its full, vibrant color. These are the highest-probability zones as they have not yet been re-tested.
- Broken / Flipped Zone: You have full control over what happens when a zone is broken! In the settings, you can choose:
- Delete Zone: The zone will be removed completely when the price closes through it.
- Show as Broken (Flip): When broken, the zone will turn gray, stop extending, and remain on your chart. This is extremely useful for identifying Support/Resistance Flips, where a broken demand zone becomes new resistance, or a broken supply zone becomes new support.
⚙️ Settings & Customization
Fine-tune the indicator to match your personal trading style via the settings menu:
- Breakout Behavior: The most powerful feature. Choose between Delete Zone and Show as Broken (Flip) to customize your chart.
- Zone Finding Logic: Control the indicator's sensitivity.
- Selective: Requires both strong imbalance and high volume. Finds fewer, but higher-quality, zones.
- Moderate: Requires either strong imbalance or high volume. Finds more potential zones.
- Sensitivity Settings: Adjust the ATR Multiplier and Volume Multiplier to make the criteria for a "strong" zone stricter or looser.
Wick Pressure Zones [BigBeluga]
The Wick Pressure Zones indicator highlights areas where extreme wick activity occurred, signaling strong buy or sell pressure. By measuring unusually long upper or lower wicks and mapping them into gradient volume zones , the tool helps traders identify levels where liquidity was absorbed, leaving behind footprints of supply and demand imbalances. These zones often act as support, resistance, or liquidity sweep magnets .
🔵 CONCEPTS
Extreme Wicks : Large upper or lower shadows indicate aggressive rejection — upper wicks suggest selling pressure, lower wicks suggest buying pressure.
Volumatic Gradient Zones : From each detected wick, the indicator projects a layered gradient zone, proportional to the wick’s size, showing where most pressure occurred.
Liquidity Footprints : These zones mark levels where significant buy/sell volume was executed, often becoming reaction points on future retests.
Automatic Expiration : Zones persist until price decisively trades through them, after which they are cleared to keep the chart clean.
🔵 FEATURES
Automatic Wick Detection : Identifies extreme upper and lower wick events using percentile filtering and Realative Strength Index.
Gradient Zone Visualization : Builds a 10-layer zone from the wick top/bottom, shading intensity according to pressure strength.
Volume Labels : Each zone is annotated with the bar’s volume at the origin point for added context.
Dynamic Zone Extension : Zones extend to the right as long as they remain relevant; once price closes through them, they are removed.
Support & Resistance Mapping : Upper wick zones (red) behave like supply/resistance, lower wick zones (green) like demand/support.
Clutter Control : Limits the number of active zones (default 10) to keep charts responsive.
Background Highlighting : Optional background shading when new wick zones appear (red for sell, green for buy).
🔵 HOW TO USE
Look for Upper Wick Zones (red) : Indicate strong selling pressure; watch for resistance, reversals, or liquidity sweeps above.
Look for Lower Wick Zones (green) : Indicate strong buying pressure; watch for support or liquidity sweeps below.
Trade Retests : When price returns to a zone, expect a reaction (bounce or rejection) due to leftover liquidity.
Combine with Context : Align wick pressure zones with HTF support/resistance, order blocks, or volume profile for stronger signals.
Use Volume Labels : High-volume wicks indicate more significant liquidity events, making the zone more likely to act as a strong reaction point.
🔵 CONCLUSION
The Wick Pressure Zones is a powerful way to visualize hidden liquidity and aggressive rejections. By mapping extreme wick events into dynamic, volume-annotated zones, it shows traders where the market absorbed heavy buy/sell pressure. These levels frequently act as magnets or turning points, making them valuable for timing entries, stop placement, or fade strategies.
Relative and Absolute Support Resistance Levels (MTF)Relative and Absolute SR Levels
1. Relative SR Levels
This indicator is unique and powerful because it doesn't rely on the traditional method of just finding swing highs and lows. Instead, it uses a more sophisticated approach focused on identifying 'Candle Strength' on a higher timeframe. This method helps pinpoint more reliable and impactful price zones.
Key Features that Make this Indicator Unique:
1. Non - Repainting
2. Zero Lag
3. Higher and Current Time Frame Support
4. Intelligent Algo for Dynamic Line Visibility
5. Very Sophisticated approach than traditional SR Levels
Higher Timeframe (HTF) Analysis:
The indicator calculates S&R levels based on a timeframe larger than your current chart. For example, if you are on a 5-minute chart, you can set the indicator to analyze the 30-minute or 1-hour timeframe.
This is crucial because levels from larger timeframes often hold more significance and are respected more frequently on smaller timeframes.
Focus on Candle Strength :
This feature is highly effective because Candle Strength typically indicate strong market momentum and often leave behind important S&R levels.
Dynamic Line Visibility:
This is one of the most clever features. The indicator draws all identified levels but keeps them invisible by default. On the last bar, it intelligently analyses the current price and makes only a select number of levels visible. This prevents your chart from becoming cluttered.
The number of visible lines is completely customizable using the 'Number of Lines to Display' input. You can set it to show just the 2 or 3 most relevant levels, for example.
Automatic S&R Selection:
The indicator automatically sorts the identified S&R levels based on their distance from the current price. It then picks the closest lines, both above and below the current price, to display. This ensures that the levels shown on the chart are the ones most relevant to the current market situation, helping you focus on the most immediate areas of interest.
2. Absolute Levels:
This indicator is a powerful tool designed to identify and visualize "Absolute Levels", which are essentially significant price zones created by strong market movements.
This works on current timeframe and doesn't use Higher/Multi Time Frame Concept.
Market Spiralyst [Hapharmonic]Hello, traders and creators! 👋
Market Spiralyst: Let's change the way we look at analysis, shall we? I've got to admit, I scratched my head on this for weeks, Haha :). What you're seeing is an exploration of what's possible when code meets art on financial charts. I wanted to try blending art with trading, to do something new and break away from the same old boring perspectives. The goal was to create a visual experience that's not just analytical, but also relaxing and aesthetically pleasing.
This work is intended as a guide and a design example for all developers, born from the spirit of learning and a deep love for understanding the Pine Script™ language. I hope it inspires you as much as it challenged me!
🧐 Core Concept: How It Works
Spiralyst is built on two distinct but interconnected engines:
The Generative Art Engine: At its core, this indicator uses a wide range of mathematical formulas—from simple polygons to exotic curves like Torus Knots and Spirographs—to draw beautiful, intricate shapes directly onto your chart. This provides a unique and dynamic visual backdrop for your analysis.
The Market Pulse Engine: This is where analysis meets art. The engine takes real-time data from standard technical indicators (RSI and MACD in this version) and translates their states into a simple, powerful "Pulse Score." This score directly influences the appearance of the "Scatter Points" orbiting the main shape, turning the entire artwork into a living, breathing representation of market momentum.
🎨 Unleash Your Creativity! This Is Your Playground
We've included 25 preset shapes for you... but that's just the starting point !
The real magic happens when you start tweaking the settings yourself. A tiny adjustment can make a familiar shape come alive and transform in ways you never expected.
I'm genuinely excited to see what your imagination can conjure up! If you create a shape you're particularly proud of or one that looks completely unique, I would love to see it. Please feel free to share a screenshot in the comments below. I can't wait to see what you discover! :)
Here's the default shape to get you started:
The Dynamic Scatter Points: Reading the Pulse
This is where the magic happens! The small points scattered around the main shape are not just decorative; they are the visual representation of the Market Pulse Score.
The points have two forms:
A small asterisk (`*`): Represents a low or neutral market pulse.
A larger, more prominent circle (`o`): Represents a high, strong market pulse.
Here’s how to read them:
The indicator calculates the Pulse Strength as a percentage (from 0% to 100%) based on the total score from the active indicators (RSI and MACD). This percentage determines the ratio of circles to asterisks.
High Pulse Strength (e.g., 80-100%): Most of the scatter points will transform into large circles (`o`). This indicates that the underlying momentum is strong and It could be an uptrend. It's a visual cue that the market is gaining strength and might be worth paying closer attention to.
Low Pulse Strength (e.g., 0-20%): Most or all of the scatter points will remain as small asterisks (`*`). This suggests weak, neutral, or bearish momentum.
The key takeaway: The more circles you see, the stronger the bullish momentum is according to the active indicators. Watch the artwork "breathe" as the circles appear and disappear with the market's rhythm!
And don't worry about the shape you choose; the scatter points will intelligently adapt and always follow the outer boundary of whatever beautiful form you've selected.
How to Use
Getting started with Spiralyst is simple:
Choose Your Canvas: Start by going into the settings and picking a `Shape` and `Palette` from the "Shape Selection & Palette" group that you find visually appealing. This is your canvas.
Tune Your Engine: Go to the "Market Pulse Engine" settings. Here, you can enable or disable the RSI and MACD scoring engines. Want to see the pulse based only on RSI? Just uncheck the MACD box. You can also fine-tune the parameters for each indicator to match your trading style.
Read the Vibe: Observe the scatter points. Are they mostly small asterisks or are they transforming into large, vibrant circles? Use this visual feedback as a high-level gauge of market momentum.
Check the Dashboard: For a precise breakdown, look at the "Market Pulse Analysis" table on the top-right. It gives you the exact values, scores, and total strength percentage.
Explore & Experiment: Play with the different shapes and color palettes! The core analysis remains the same, but the visual experience can be completely different.
⚙️ Settings & Customization
Spiralyst is designed to be highly customizable.
Shape Selection & Palette: This is your main control panel. Choose from over 25 unique shapes, select a color palette, and adjust the line extension style ( `extend` ) or horizontal position ( `offsetXInput` ).
scatterLabelsInput: This setting controls the total number of points (both asterisks and circles) that orbit the main shape. Think of it as adjusting the density or visual granularity of the market pulse feedback.
The Market Pulse engine will always calculate its strength as a percentage (e.g., 75%). This percentage is then applied to the `scatterLabelsInput` number you've set to determine how many points transform into large circles.
Example: If the Pulse Strength is 75% and you set this to `100` , approximately 75 points will become circles. If you increase it to `200` , approximately 150 points will transform.
A higher number provides a more detailed, high-resolution view of the market pulse, while a lower number offers a cleaner, more minimalist look. Feel free to adjust this to your personal visual preference; the underlying analytical percentage remains the same.
Market Pulse Engine:
`⚙️ RSI Settings` & `⚙️ MACD Settings`: Each indicator has its own group.
Enable Scoring: Use the checkbox at the top of each group to include or exclude that indicator from the Pulse Score calculation. If you only want to use RSI, simply uncheck "Enable MACD Scoring."
Parameters: All standard parameters (Length, Source, Fast/Slow/Signal) are fully adjustable.
Individual Shape Parameters (01-25): Each of the 25+ shapes has its own dedicated group of settings, allowing you to fine-tune every aspect of its geometry, from the number of petals on a flower to the windings of a knot. Feel free to experiment!
For Developers & Pine Script™ Enthusiasts
If you are a developer and wish to add more indicators (e.g., Stochastic, CCI, ADX), you can easily do so by following the modular structure of the code. You would primarily need to:
Add a new `PulseIndicator` object for your new indicator in the `f_getMarketPulse()` function.
Add the logic for its scoring inside the `calculateScore()` method.
The `calculateTotals()` method and the dashboard table are designed to be dynamic and will automatically adapt to include your new indicator!
One of the core design philosophies behind Spiralyst is modularity and scalability . The Market Pulse engine was intentionally built using User-Defined Types (UDTs) and an array-based structure so that adding new indicators is incredibly simple and doesn't require rewriting the main logic.
If you want to add a new indicator to the scoring engine—let's use the Stochastic Oscillator as a detailed example—you only need to modify three small sections of the code. The rest of the script, including the adaptive dashboard, will update automatically.
Here’s your step-by-step guide:
#### Step 1: Add the User Inputs
First, you need to give users control over your new indicator. Find the `USER INTERFACE: INPUTS` section and add a new group for the Stochastic settings, right after the MACD group.
Create a new group name: `string GRP_STOCH = "⚙️ Stochastic Settings"`
Add the inputs: Create a boolean to enable/disable it, and then add the necessary parameters (`%K`, `%D`, `Smooth`). Use the `active` parameter to link them to the enable/disable checkbox.
// Add this code block right after the GRP_MACD and MACD inputs
string GRP_STOCH = "⚙️ Stochastic Settings"
bool stochEnabledInput = input.bool(true, "Enable Stochastic Scoring", group = GRP_STOCH)
int stochKInput = input.int(14, "%K Length", minval=1, group = GRP_STOCH, active = stochEnabledInput)
int stochDInput = input.int(3, "%D Smoothing", minval=1, group = GRP_STOCH, active = stochEnabledInput)
int stochSmoothInput = input.int(3, "Smooth", minval=1, group = GRP_STOCH, active = stochEnabledInput)
#### Step 2: Integrate into the Pulse Engine (The "Factory")
Next, go to the `f_getMarketPulse()` function. This function acts as a "factory" that builds and configures the entire market pulse object. You need to teach it how to build your new Stochastic indicator.
Update the function signature: Add the new `stochEnabledInput` boolean as a parameter.
Calculate the indicator: Add the `ta.stoch()` calculation.
Create a `PulseIndicator` object: Create a new object for the Stochastic, populating it with its name, parameters, calculated value, and whether it's enabled.
Add it to the array: Simply add your new `stochPulse` object to the `array.from()` list.
Here is the complete, updated `f_getMarketPulse()` function :
// Factory function to create and calculate the entire MarketPulse object.
f_getMarketPulse(bool rsiEnabled, bool macdEnabled, bool stochEnabled) =>
// 1. Calculate indicator values
float rsiVal = ta.rsi(rsiSourceInput, rsiLengthInput)
= ta.macd(close, macdFastInput, macdSlowInput, macdSignalInput)
float stochVal = ta.sma(ta.stoch(close, high, low, stochKInput), stochDInput) // We'll use the main line for scoring
// 2. Create individual PulseIndicator objects
PulseIndicator rsiPulse = PulseIndicator.new("RSI", str.tostring(rsiLengthInput), rsiVal, na, 0, rsiEnabled)
PulseIndicator macdPulse = PulseIndicator.new("MACD", str.format("{0},{1},{2}", macdFastInput, macdSlowInput, macdSignalInput), macdVal, signalVal, 0, macdEnabled)
PulseIndicator stochPulse = PulseIndicator.new("Stoch", str.format("{0},{1},{2}", stochKInput, stochDInput, stochSmoothInput), stochVal, na, 0, stochEnabled)
// 3. Calculate score for each
rsiPulse.calculateScore()
macdPulse.calculateScore()
stochPulse.calculateScore()
// 4. Add the new indicator to the array
array indicatorArray = array.from(rsiPulse, macdPulse, stochPulse)
MarketPulse pulse = MarketPulse.new(indicatorArray, 0, 0.0)
// 5. Calculate final totals
pulse.calculateTotals()
pulse
// Finally, update the function call in the main orchestration section:
MarketPulse marketPulse = f_getMarketPulse(rsiEnabledInput, macdEnabledInput, stochEnabledInput)
#### Step 3: Define the Scoring Logic
Now, you need to define how the Stochastic contributes to the score. Go to the `calculateScore()` method and add a new case to the `switch` statement for your indicator.
Here's a sample scoring logic for the Stochastic, which gives a strong bullish score in oversold conditions and a strong bearish score in overbought conditions.
Here is the complete, updated `calculateScore()` method :
// Method to calculate the score for this specific indicator.
method calculateScore(PulseIndicator this) =>
if not this.isEnabled
this.score := 0
else
this.score := switch this.name
"RSI" => this.value > 65 ? 2 : this.value > 50 ? 1 : this.value < 35 ? -2 : this.value < 50 ? -1 : 0
"MACD" => this.value > this.signalValue and this.value > 0 ? 2 : this.value > this.signalValue ? 1 : this.value < this.signalValue and this.value < 0 ? -2 : this.value < this.signalValue ? -1 : 0
"Stoch" => this.value > 80 ? -2 : this.value > 50 ? 1 : this.value < 20 ? 2 : this.value < 50 ? -1 : 0
=> 0
this
#### That's It!
You're done. You do not need to modify the dashboard table or the total score calculation.
Because the `MarketPulse` object holds its indicators in an array , the rest of the script is designed to be adaptive:
The `calculateTotals()` method automatically loops through every indicator in the array to sum the scores and calculate the final percentage.
The dashboard code loops through the `enabledIndicators` array to draw the table. Since your new Stochastic indicator is now part of that array, it will appear automatically when enabled!
---
Remember, this is your playground! I'm genuinely excited to see the unique shapes you discover. If you create something you're proud of, feel free to share it in the comments below.
Happy analyzing, and may your charts be both insightful and beautiful! 💛
Gann Static Square of 9 - CEGann Static Square of 9 - Community Edition
Welcome to the Gann Static Square of 9 - Community Edition, a meticulously crafted tool designed to empower traders with the timeless principles of W.D. Gann’s Square of 9 methodology. This indicator is tailored for the TradingView community and Gann Traders, providing a robust solution for analyzing price and time dynamics across various markets.
Overview
The Gann Static Square of 9 harnesses the mathematical precision of Gann’s Square of 9 chart, plotting key price and time levels based on a fixed starting point of 1. Unlike its dynamic counterpart , this static version uses a consistent origin, making it ideal for traders seeking to map Gann’s geometric angles (45°, 90°, 135°, 180°, 225°, 270°, 315°, and 360°) with a standardized framework. By adjusting the price and time units, users can tailor the indicator to suit any asset, from equities and forex to commodities and cryptocurrencies.
Key Features
Fixed Starting Point: Begins calculations at a base value of 1, providing a standardized approach to plotting Gann’s Square of 9 levels.
Comprehensive Angle Projections: Plots eight critical Gann angles (45°, 90°, 135°, 180°, 225°, 270°, 315°, and 360°), enabling precise identification of support, resistance, and time-based targets.
Customizable Price and Time Units: Adjust the price unit (Y-axis) and time unit (X-axis) to align with the specific characteristics of your chosen market, ensuring optimal fit for price action and volatility.
Horizontal and Vertical Levels: Enable horizontal price levels to identify key support and resistance zones, and vertical time levels to pinpoint potential market turning points.
Revolution Control: Extend projections across multiple 360° cycles to uncover long-term price and time objectives, with user-defined revolution counts.
Customizable Aesthetics: Assign distinct colors to each angle for enhanced chart clarity and visual differentiation.
and more!
How It Works
Configure Settings: Set the price and time units to match your asset’s characteristics, and select the desired number of revolutions to project future levels.
Enable Levels: Choose which Gann angles (45° to 360°) to display, tailoring the indicator to your analysis needs.
Visualize Key Levels: The indicator plots horizontal price levels and optional vertical time levels, each labeled with its corresponding angle and price/time value.
Analyze and Trade: Leverage the plotted levels to identify critical support, resistance, and time-based turning points, enhancing your trading strategy with Gann’s proven methodology.
Get Started
As a token of appreciation for the TradingView community, and Gann traders, this Community Edition is provided free of charge. Trade safe and enjoy!
