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15 Consecutive Heikin Ashi Candles AlertThis indicator detects 15 consecutive Heikin Ashi candles in the same direction (bullish or bearish) and alerts you the moment the 15th candle closes. Key Features: Accurate Heikin Ashi detection using ticker.heikinashi (works on any chart type) Configurable streak length (default 15) and Heikin Ashi timeframe (default 3 minutes) Triggers alerts only once when the streak reaches exactly 15 (no spam on longer streaks) Live visual streak counter (histogram) — green for bullish, red for bearish Optional overlay of clean Heikin Ashi candles on your chart Real-time table showing current streak direction and count Background flash + large on-chart labels when the 15-candle streak is confirmed Clean, lightweight code with zero repainting Best Use: Ideal on 3-minute charts for scalping or momentum trading Great for catching strong trends early in crypto, forex, or stocks Set alerts for "15 Bullish HA Candles" or "15 Bearish HA Candles" Settings: Streak Length → Change alert threshold Overlay Heikin Ashi Candles → Toggle HA display Heikin Ashi Timeframe → Use "3" for 3-minute HA data
Pine Script® indicator
by Trend_Informer
Volume Delta Bubble + Absorption📊 Overview A sophisticated volume analysis tool that identifies unusual buying/selling pressure and detects absorption patterns in real-time. This indicator combines statistical volume analysis with smart price action detection to reveal hidden market dynamics. 🔍 Key Features 1. Unusual Volume Detection Statistical Z-Score Analysis: Flags statistically significant volume spikes using adaptive thresholds Dual Detection Modes: Choose between adaptive (Z-Score) or fixed volume threshold methods Volume Delta Calculation: Compares buying vs selling volume based on price movement 2. Smart Absorption Detection 🎯 Directional Absorption: Identifies WHO is absorbing whom: B-ABS: Bullish Absorption (Buyers absorbing selling pressure) S-ABS: Bearish Absorption (Sellers absorbing buying pressure) Context-Aware Logic: Uses price rejection/support levels to determine absorption direction Streak Tracking: Monitors consecutive absorption bars for stronger signals 3. Visual Features 🎨 Color-Coded Bubbles: Green: Bullish volume Red: Bearish volume Light Green: Bullish absorption Light Red: Bearish absorption Smart Placement: Automatically avoids label overlapping Multiple Styles: Choose between circle or box label styles Background Highlighting: Absorbing bars are highlighted for quick identification 4. Information Display 📈 Real-time Stats: Volume, Z-Score, and percentage above average Info Table: Shows absorption trend, current Z-Score, and average volume Detailed Tooltips: Hover over bubbles for comprehensive information Absorption Markers: Small triangles indicate absorption bars ⚙️ How It Works Volume Delta Calculation The indicator calculates the net difference between buying and selling volume: Volume Delta Mode: Uses lower timeframe close vs open Candle Delta Mode: Uses current timeframe close vs open Neutral Handling: Accounts for doji candles with partial attribution Absorption Logic Detects when high volume fails to move price significantly: Small Body Check: Candle body < 60% of average (configurable) High Volume: Volume > 1.5x average (configurable) Direction Detection: Bullish Absorption: High selling volume but price holds above previous low Bearish Absorption: High buying volume but price rejects below previous high Statistical Analysis Z-Score Calculation: (Current Volume - Average Volume) / Standard Deviation Adaptive Thresholding: Default Z-Score ≥ 2.0 (2 standard deviations) Historical Comparison: Uses configurable lookback period (default: 60 bars) 🛠️ Customization Options Detection Settings Calculation Source: Volume Delta or Candle Delta Lower Timeframe: Analyze volume from faster timeframes Detection Mode: Adaptive (Z-Score) or Fixed volume threshold Lookback Period: 10-200 bars for statistical calculations Visual Settings Bubble Opacity: 0-100% transparency Label Styles: Circle or box format Smart Placement: Auto-adjust to avoid overlap Color Customization: Full control over all color schemes Absorption Settings Body Size Ratio: Adjust sensitivity (0.1-1.0) Absorption Labels: Toggle B-ABS/S-ABS labels Background Highlight: Toggle bar highlighting 📊 Output Information Each bubble displays: Volume: Formatted in millions (e.g., "1.25M") Z-Score: Statistical significance (e.g., "Z:2.45") Direction: Color-coded bullish/bearish Absorption Type: B-ABS or S-ABS when applicable 🎯 Use Cases For Traders: Breakout Confirmation: Validate breakouts with volume support Reversal Signals: Spot absorption at key support/resistance levels Trend Continuation: Identify accumulation/distribution patterns Risk Management: Avoid false breakouts with volume context For Analysts: Volume Profile Analysis: Understand institutional activity Market Structure: Identify hidden support/resistance Order Flow: Track buying/selling pressure in real-time Statistical Edge: Use Z-Score for objective volume assessment ⚡ Pro Tips Combine with Price Action: Use absorption signals at key S/R levels Multi-Timeframe: Lower timeframe provides early signals Confirmation: Wait for candle close before acting on signals Risk Management: Use smaller position sizes on absorption signals 🔧 Technical Details Built With: Pine Script v5 Maximum Labels: 500 (configurable) Overlay: Yes (displays on main chart) Calculation: On bar close (most accurate) Performance: Optimized for real-time use 📱 Alert Conditions Unusual Volume Delta: Triggers on statistically significant volume Absorption Detected: Alerts when absorption pattern forms Customizable: Set your own threshold levels 🎨 Design Philosophy Clarity: Minimal, clean visual presentation Information Density: Maximum insight with minimum clutter Customizability: Every visual element is adjustable User Experience: Intuitive for both beginners and professionals 📚 Educational Value This indicator teaches: Volume-price relationship Statistical volume analysis Absorption and distribution concepts Order flow interpretation Multi-timeframe analysis 🤝 Community Benefits Open Logic: Transparent calculations for peer review Educational: Helps traders understand volume dynamics Customizable: Adapts to different trading styles Reliable: Based on proven volume analysis principles 🚀 Why This Indicator? Smart Detection: Goes beyond basic volume analysis Directional Clarity: Clearly shows who's in control Statistical Rigor: Uses Z-Score for objective signals Professional Grade: Suitable for institutional analysis Beginner Friendly: Clear visuals and explanations Recommended Settings by Timeframe: Scalping (1-5 min): Lower TF = "1", Z-Score = 2.5 Day Trading (15-60 min): Lower TF = "5", Z-Score = 2.0 Swing Trading (4H-Daily): Lower TF = "60", Z-Score = 1.8 Perfect for: Day traders, swing traders, volume analysts, institutional traders, and anyone wanting to understand the true story behind price movements through volume analysis. Combine with price action and support/resistance levels for best results!
Pine Script® indicator
by iamsammy
Radiant Mean Reversion Channels [Pineify]Radiant Mean Reversion Channels - HMA & ATR Normalized Oscillator with Dynamic Gradient Signals The Radiant Mean Reversion Channels indicator is a volatility-normalized oscillator designed to detect high-probability mean reversion setups across any market and timeframe. It transforms a Hull Moving Average (HMA) based channel into a bounded 0–100 oscillator, making it easy to spot when price has stretched to statistical extremes and is likely to revert toward equilibrium. By combining the low-lag properties of HMA with the adaptive volatility measurement of ATR, this indicator provides fast, accurate overbought and oversold readings without the noise common in traditional oscillators. Key Features HMA-based dynamic mean for ultra-low-lag price tracking ATR-driven volatility bands that automatically adapt to market conditions Normalized 0–100 oscillator scale for consistent interpretation across all instruments WMA smoothing to reduce whipsaws while preserving signal responsiveness Dynamic gradient coloring that shifts from bearish to bullish based on oscillator value Clearly defined overbought (80/90) and oversold (10/20) zones with visual fills Automatic buy and sell signal generation on mean reversion crossovers Built-in alert conditions for seamless trading automation How It Works The indicator follows a five-step calculation pipeline that converts raw price action into a clean, actionable oscillator: Dynamic Mean via HMA: The center of the channel is calculated using a Hull Moving Average of the selected source over the specified channel length. HMA was chosen specifically because it dramatically reduces lag compared to SMA or EMA while maintaining a smooth curve, giving traders a more accurate real-time estimate of the current mean price. Volatility Measurement via ATR: The Average True Range over the same lookback period measures current market volatility. This value is scaled by a user-defined Band Multiplier to create the channel width. ATR naturally adapts—widening during volatile conditions and tightening during consolidation—ensuring the channel remains contextually appropriate. Channel Construction: The upper and lower bands are formed by adding and subtracting the scaled ATR from the HMA mean. This creates a dynamic envelope that contains most price action under normal conditions. Normalization to Oscillator: The price position within the channel is normalized using the formula: (Price - Lower Band) / (Upper Band - Lower Band) × 100. This maps the channel into a 0–100 scale where 0 represents the lower band, 100 represents the upper band, and 50 represents the mean. Values above 100 or below 0 indicate price has exceeded the channel boundaries. WMA Smoothing: The raw oscillator is smoothed using a Weighted Moving Average, which gives more weight to recent readings. This reduces noise and false signals while keeping the oscillator responsive to genuine shifts in momentum. Trading Ideas and Insights Mean reversion is a core principle in quantitative trading—prices tend to oscillate around a fair value and snap back after stretching too far. The Radiant Mean Reversion Channels quantifies this behavior by measuring exactly where price sits within its volatility envelope: When the oscillator rises above 80, price is near the upper channel band—a statistically overbought condition where selling pressure often emerges When the oscillator falls below 20, price is near the lower channel band—an oversold zone where buyers tend to step in The extreme levels at 90 and 10 represent deeper extensions where reversion probability increases significantly Signal generation occurs when the oscillator crosses back inside these zones, timing the actual beginning of the reversion move rather than trying to catch the exact top or bottom This method excels in range-bound and mean-reverting markets. In trending markets, the signals can be used to identify pullback entry opportunities in the direction of the prevailing trend. How Multiple Indicators Work Together The Radiant Mean Reversion Channels integrates three distinct technical concepts into a cohesive analytical framework: Hull Moving Average (Mean): HMA serves as the dynamic center of the channel. Its unique double-smoothed, lag-compensated formula (using nested WMAs with square root period adjustment) provides a mean line that reacts to trend changes significantly faster than traditional averages. This ensures the "fair value" baseline stays current with evolving market conditions. Average True Range (Volatility): ATR measures real market volatility by accounting for gaps and true trading ranges—not just close-to-close changes. As the volatility component, ATR automatically adjusts the channel width. During high-volatility periods, the channel expands so that only truly extreme moves trigger signals. During low-volatility periods, it contracts to remain sensitive, preventing missed opportunities. Weighted Moving Average (Smoothing): The WMA applied to the normalized oscillator gives heavier weight to the most recent data points. This produces a smoother output than SMA while introducing less lag than EMA for short smoothing periods, striking an optimal balance between signal clarity and timeliness. These three components work together synergistically: HMA tracks where price should be, ATR defines how far is too far, and WMA ensures the final oscillator reading is clean and reliable. Unique Aspects HMA-ATR Combination: Most channel-based oscillators use Bollinger Bands (SMA + Standard Deviation). By pairing HMA with ATR, this indicator benefits from lower lag on the mean and a volatility measure that accounts for gaps and true range—producing faster and more robust channel boundaries Dynamic Gradient Visualization: The oscillator line smoothly transitions color from bearish to bullish across the 0–100 range using a continuous gradient. This provides immediate visual feedback on market conditions without requiring traders to reference fixed levels Dual-Zone Architecture: The indicator features both standard zones (20/80) and extreme zones (10/90) with distinct visual fills, helping traders differentiate between moderate and extreme conditions at a glance Normalization Advantage: By converting the channel into a normalized oscillator, traders can compare readings across different assets and timeframes on a consistent scale, making it versatile for multi-market analysis How to Use Add the indicator to your chart—it displays as a sub-chart oscillator below the main price chart Monitor the oscillator's position: readings above 80 indicate overbought conditions, below 20 indicate oversold conditions Watch for buy signals (circles at the bottom) when the oscillator crosses back above 20 from oversold territory, indicating a bullish mean reversion is underway Watch for sell signals (circles at the top) when the oscillator crosses back below 80 from overbought territory, signaling a bearish mean reversion Use the gradient color intensity to quickly assess momentum—greener tones indicate bullish positioning while redder tones indicate bearish positioning Combine with trend analysis: in uptrends, prioritize buy signals near the 20 level; in downtrends, prioritize sell signals near the 80 level Enable alerts using the built-in alert conditions to receive notifications when reversion signals trigger Customization Channel Length (default: 21): Controls the lookback period for both the HMA mean and ATR volatility calculation. Shorter values increase sensitivity for scalping; longer values provide smoother readings for swing trading Band Multiplier (default: 2.0): Adjusts the channel width by scaling the ATR value. Higher values create wider channels, producing fewer but higher-confidence signals. Lower values narrow the channel for more frequent signals Oscillator Smoothing (default: 3): Controls the WMA smoothing period applied to the raw oscillator. Increase this value in choppy markets to filter out noise; decrease it in clean-trending markets for faster signals Source (default: Close): Select the price source for all calculations. Alternatives like HL2 or HLC3 can provide smoother inputs Bullish/Bearish/Neutral Colors: Fully customizable color scheme for the gradient, zones, and signal markers to match your preferred chart theme Conclusion The Radiant Mean Reversion Channels indicator offers traders a refined approach to mean reversion analysis by combining the speed of Hull Moving Average, the adaptive volatility measurement of ATR, and intelligent WMA smoothing into a single normalized oscillator. Its gradient visualization, clearly defined reversion zones, and automated signal generation make it a practical and visually intuitive tool for identifying high-probability reversal points. Whether used for timing entries in range-bound markets or catching pullbacks in trending conditions, this indicator brings clarity and precision to mean reversion trading strategies.
Pine Script® indicator
by Pineify
Volumetric Supply and Demand Zones [BOSWaves]Volumetric Supply and Demand Zones - Impulse-Based Zone Detection with Embedded Volume Profile Analysis Overview Volumetric Supply and Demand Zones is an impulse-driven zone identification system that marks significant reversal areas through swing detection and volume accumulation patterns, where zone boundaries dynamically reflect actual trading activity concentration rather than arbitrary price levels. Instead of relying on traditional horizontal support/resistance lines or fixed pivot structures, zone placement, thickness, and volumetric composition are determined through ATR-normalized impulse detection, volume profile distribution analysis, and delta decomposition within base formation periods. This creates adaptive supply and demand boundaries that reflect actual volume accumulation patterns rather than simple price extremes - contracting zones around high-volume concentration areas when profile shows tight distribution, expanding zones during dispersed volume activity, and incorporating positive/negative delta breakdowns to reveal whether zones formed under buying or selling pressure dominance. Price interactions are therefore evaluated relative to volume-weighted zone structures and point-of-control levels rather than conventional naked price zones. Conceptual Framework Volumetric Supply and Demand Zones is founded on the principle that meaningful reversal zones emerge where significant volume accumulated during consolidation before impulse moves rather than at simple swing high/low pivot points. Traditional supply and demand methods identify zones using price structure alone through swing detection or candlestick patterns, which often ignores the underlying volume distribution and buying/selling pressure that validates institutional accumulation or distribution. This framework replaces price-only logic with volume-weighted zone construction informed by actual trading activity concentration and delta composition. Three core principles guide the design: Zone boundaries should encompass base formation periods preceding impulse moves, not isolated pivot candles alone. Volume profile distribution within zones must reveal where actual trading activity concentrated, identifying true points of control. Delta decomposition exposes whether zones formed under buying pressure (demand accumulation) or selling pressure (supply distribution). This shifts supply and demand analysis from naked price levels into volume-validated, delta-aware institutional footprint zones. Theoretical Foundation The indicator combines swing pivot detection, ATR-based impulse measurement, volume profile construction, and delta decomposition analysis. A pivot detection system identifies local swing highs and lows using configurable left/right bar parameters. Impulse validation measures the subsequent price move magnitude relative to ATR, confirming whether the swing preceded a significant directional thrust. Zone boundaries encompass a lookback period of candles forming the base, with maximum height capped by ATR multiplier to prevent excessively large zones. Volume profile divides each zone into horizontal rows, distributing volume proportionally based on price overlap and identifying the point of control (highest volume row). Delta profile separates volume into buying versus selling components using close-open relationships, revealing net directional pressure within each profile row. Five internal systems operate in tandem: Swing Detection Engine : Identifies pivot highs and lows using symmetrical left/right bar confirmation for potential zone anchor points. Impulse Validation System : Measures price movement magnitude following pivot formation, requiring ATR-multiple threshold breach to confirm zone significance. Volume Profile Constructor : Divides zone height into configurable rows, allocates volume proportionally based on bar price range overlap with each row, identifies POC as highest-volume row. Delta Decomposition Engine : Separates volume into buying (up-close bars) versus selling (down-close bars) components within each profile row, calculates net delta and dominant pressure direction. Zone Merge Logic : Detects overlapping zones of same type (supply/supply or demand/demand), combines boundaries and recalculates volume/delta statistics with weighted blending. This design allows supply and demand zones to reflect actual volume accumulation reality rather than reacting mechanically to price pivots alone. How It Works Volumetric Supply and Demand Zones evaluates price through a sequence of volume-aware zone construction processes: Pivot Identification : Swing detection algorithm identifies local highs and lows using configurable left/right bar symmetry, marking potential reversal zone anchors. Impulse Magnitude Validation : Following pivot formation, price movement measured relative to ATR over lookback period - move must exceed ATR multiplier threshold to confirm zone validity. Base Period Boundary Definition : Zone encompasses pivot bar plus configurable lookback candles forming the consolidation base preceding impulse move. Height Normalization : Raw zone height (high to low of base period) capped at maximum ATR multiplier to prevent zones becoming unreasonably large during extended consolidations. Volume Profile Row Allocation : Zone divided into configurable number of horizontal rows, each bar's volume distributed proportionally based on price range overlap with row boundaries. Point of Control Identification : Row with highest accumulated volume marked as POC, representing price level with maximum trading activity concentration within zone. Delta Component Separation : Each bar's volume classified as buying (close > open) or selling (close < open), allocated to respective delta buckets within overlapping profile rows. Delta Profile Construction : Net delta (buy volume minus sell volume) calculated per row, rendered as horizontal bars extending from zone right edge inward with green (positive) or red (negative) coloring. Overlap Detection and Merging : New zones checked against existing zones of same type, overlapping zones within merge gap threshold combined with boundary expansion and volume/delta statistics aggregation. Mitigation Detection : Price interaction monitoring using configurable method (wick or close) determines when zones violated, triggering zone deletion and cleanup of all visual elements. Together, these elements form a continuously updating supply and demand framework anchored in volume accumulation reality and delta pressure composition. Interpretation Volumetric Supply and Demand Zones should be interpreted as volume-validated institutional footprint zones: Demand Zones (Green) : Form at swing lows preceding upward impulse moves exceeding ATR threshold - represent areas where buyers accumulated positions before markup phase, volume profile shows where bids concentrated. Supply Zones (Red) : Establish at swing highs preceding downward impulse moves exceeding ATR threshold - identify areas where sellers distributed positions before markdown phase, volume profile shows where offers concentrated. Volume Profile Bars : Horizontal bars extending from zone left edge show relative volume distribution across price levels - longer bars indicate higher trading activity, revealing true institutional accumulation/distribution levels versus arbitrary zone edges. Point of Control Line (White) : Horizontal line within zone marks price level with maximum volume concentration - represents the most significant institutional activity level, often acts as magnetic price level during retests. Delta Profile Bars : Horizontal bars extending from zone right edge inward display net buying/selling pressure per price level - green bars show buy volume dominance (accumulation), red bars show sell volume dominance (distribution). Zone Info Box : Text panel on right edge displays zone type (SUPPLY/DEMAND), status (Fresh/Tested), total volume, net delta, and touch count - provides quantitative validation of zone significance. Fresh Status : Newly created zones not yet tested by price - highest probability reversal zones as institutional orders likely remain unfilled. Tested Status : Zones where price returned and interacted with boundaries - touch count reveals how many times zone provided support/resistance, excessive touches suggest weakening. Merged Zones : Wider zones with higher volume/delta values formed by combining multiple overlapping base periods - represent extended institutional accumulation/distribution areas with greater significance. POC Brightness : Brightest (white) volume profile bar marks point of control - visual emphasis highlights the most critical price level within zone structure. Volume distribution shape, POC placement, delta composition, and touch count outweigh simple zone boundary reactions. Signal Logic & Visual Cues Volumetric Supply and Demand Zones presents zone interaction insights rather than discrete directional signals: Fresh Zone Formation : New supply or demand zone created when swing pivot followed by ATR-threshold impulse - suggests institutional footprint left behind, high-probability reversal area established. First Retest (Fresh → Tested) : Price returning to previously untouched zone triggers status change and touch increment - historically highest-probability reaction level as unfilled orders likely remain. POC Magnetic Behavior : Price gravitating toward white POC line during zone interaction - suggests institutional activity concentration level acting as support/resistance within broader zone. Volume Profile Asymmetry : Profile showing volume concentrated at zone edge versus center reveals base formation character - edge concentration suggests quick accumulation before impulse, center concentration indicates prolonged consolidation. Delta Divergence Patterns : Demand zones showing negative delta profile (red bars dominant) or supply zones showing positive delta (green bars) reveal weak zone formation - pressure composition conflicted with expected direction. Delta Confirmation Patterns : Demand zones with strong positive delta (green bars) or supply zones with strong negative delta (red bars) validate institutional conviction - pressure aligned with expected reversal direction. Excessive Touch Degradation : Touch count exceeding 3-4 interactions suggests zone weakening - repeated tests consume institutional orders, reducing reversal probability. Mitigation Events : Price closing beyond zone boundaries (or wicking through, based on settings) triggers zone deletion - invalidation confirms institutional levels failed, trend continuation likely. The primary value lies in volume-validated zone structure and delta composition analysis rather than simple boundary touches. Strategy Integration Volumetric Supply and Demand Zones fits within institutional footprint and order flow-aware trading approaches: Fresh Zone Reversal Entries : Enter counter-trend positions at first retest of fresh zones with strong delta confirmation - unfilled institutional orders provide high-probability reaction levels. POC-Precise Limit Orders : Place entries at POC line rather than zone edges - point of control represents maximum volume concentration, offering tighter stop placement and better risk/reward. Delta-Filtered Zone Selection : Prioritize demand zones showing positive net delta and supply zones showing negative net delta-aligned pressure composition validates institutional conviction. Volume Profile Distribution Analysis : Favor zones with tight volume concentration (profile bars clustered) over dispersed distribution - concentrated profiles suggest decisive institutional accumulation/distribution. Merge-Enhanced Conviction : Treat merged zones with higher volume/delta totals as stronger reversal candidates - combined statistics represent extended institutional activity periods. Touch Count Degradation Filtering : Reduce position sizing or avoid zones with 3+ touches - excessive interaction depletes institutional orders, weakening reversal probability. Trend Continuation via Mitigation : Enter breakout positions when price closes beyond supply zones (uptrend) or demand zones (downtrend) - mitigation confirms trend strength overwhelming institutional levels. Multi-Timeframe Zone Confluence : Apply higher-timeframe zones for macro structure, use lower-timeframe volume profile to identify precise entry levels within larger zones. Technical Implementation Details Core Engine : Pivot detection with symmetrical left/right confirmation, ATR-normalized impulse validation Zone Construction : Base period lookback with ATR-capped height normalization and time-based extension Volume Profile System : Proportional volume allocation across configurable rows with overlap percentage calculation Delta Engine : Close-open relationship classification separating buy/sell volume with net delta calculation per row POC Identification : Maximum volume row detection with visual emphasis rendering Merge Logic : Overlap detection with gap threshold, boundary expansion, and weighted statistic aggregation Visualization : Multi-element rendering (zone boxes, profile bars, delta bars, POC lines, info panels) with proportional sizing Performance Profile : Custom type system for zone/profile/delta management, efficient array-based storage with configurable zone limits Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Micro-structure supply/demand for scalping with tight ATR multipliers and reduced lookback 15 - 60 min : Intraday institutional footprint zones with balanced profile row count and merge sensitivity 4H - Daily : Swing-level accumulation/distribution areas with extended lookback periods and wider merge gaps Weekly - Monthly : Macro institutional zones with maximum profile detail and extended zone persistence Suggested Baseline Configuration: Swing Length : 8 Impulse Size (ATR) : 1.2 Base Lookback Candles : 3 ATR Length : 14 Maximum Zone Height (ATR) : 4.0 Maximum Zones : 10 Extend Zones (bars) : 60 Merge Overlapping Zones : Enabled Merge Gap (ATR) : 0.3 Mitigation Type : Wick Profile Rows : 10 Profile Width (%) : 0.5 Show POC Line : Enabled Show Delta Profile : Enabled Delta Profile Width (%) : 0.35 Show Zone Info Box : Enabled These suggested parameters should be used as a baseline; their effectiveness depends on the asset's volatility profile, volume characteristics, and preferred zone sensitivity, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Too many zones cluttering chart : Increase Swing Length (10 - 12) to demand stronger pivots, or increase Impulse Size multiplier (1.5 - 2.0) to require larger moves for zone validation. Missing significant reversal levels : Decrease Swing Length (5-6) for earlier pivot detection, or reduce Impulse Size (0.8 - 1.0) to capture smaller but valid base formations. Zones too large/tall : Reduce Maximum Zone Height ATR multiplier (2.5 - 3.0) to cap vertical size, or decrease Base Lookback Candles (1 - 2) for tighter base periods. Zones too small to be useful : Increase Base Lookback Candles (4 - 6) to encompass longer consolidation periods, or raise Maximum Zone Height (5.0 - 7.0) for taller zones. Profile bars too granular : Decrease Profile Rows (6 - 8) for coarser distribution showing major volume clusters only. Profile lacking detail : Increase Profile Rows (15 - 20) for finer resolution revealing subtle volume distribution nuances. Zones merging too aggressively : Decrease Merge Gap ATR multiplier (0.1 - 0.2) to require tighter overlap for merge qualification, or disable merging entirely. Related zones not combining : Increase Merge Gap (0.5 - 0.8) to allow merging of zones with larger separation distances. Zones invalidating prematurely : Switch Mitigation Type from "Wick" to "Close" to require closing violation rather than intrabar penetration. Zones persisting too long after breach : Switch Mitigation Type from "Close" to "Wick" for faster invalidation on initial penetration. Profile bars invisible : Increase Profile Width percentage (0.6 - 0.8) for longer bars, improving visibility on cluttered charts. Delta profile obscuring volume profile : Reduce Delta Profile Width (0.2 - 0.3) to prevent overlap, or disable delta display temporarily. Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions. Performance Characteristics High Effectiveness: Range-bound and mean-reverting markets where institutional zones provide reliable turning points Instruments with consistent volume characteristics where profile distribution reveals true accumulation/distribution Swing trading approaches targeting zone-to-zone reactions with defined risk parameters Reversal strategies seeking volume-validated entry levels rather than blind counter-trend positions Markets where delta proxy correlates well with actual order flow (trending volume instruments) Position trading benefiting from macro supply/demand structure with embedded volume context Reduced Effectiveness: Extremely low volume environments where profile distribution becomes unreliable and sparse News-driven or gapped markets where zones form/invalidate without normal volume accumulation patterns Highly trending markets where zones consistently mitigate without providing reversal opportunities Instruments with erratic volume patterns making delta decomposition and profile interpretation misleading Very high-frequency timeframes (seconds) where base formation periods too short for meaningful volume accumulation Integration Guidelines Confluence : Combine with BOSWaves structure, market profile, or traditional technical analysis for zone validation within broader context Volume Profile Respect : Trust POC levels and high-volume profile bars over arbitrary zone edges for entry/exit precision Delta Confirmation Priority : Favor zones where delta composition aligns with expected direction - positive delta in demand, negative delta in supply Fresh Zone Preference : Prioritize first retests of untouched zones over repeatedly tested areas with high touch counts Merge Recognition : Treat merged zones with elevated volume/delta statistics as higher-conviction institutional footprint areas Touch Count Filtering : Reduce position sizing or avoid zones after 3+ touches as institutional order depletion reduces effectiveness Mitigation Discipline : Exit zone-based positions decisively when price closes beyond boundaries, respecting invalidation signals Multi-Timeframe Structure : Apply higher-timeframe zones for swing structure, use lower-timeframe profiles for tactical entry refinement Disclaimer Volumetric Supply and Demand Zones is a professional-grade supply/demand zone and volume profile analysis tool. It uses volume-based delta proxy to estimate directional pressure but does not access true order book data or institutional trade information. Results depend on market conditions, volume reliability, ATR characteristics, parameter selection, and disciplined execution. Volume profile and delta calculations represent approximations based on close-open relationships and price overlap formulas, not actual bid/ask transactions. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, order flow context, and comprehensive risk management.
Pine Script® indicator
by BOSWaves
3
SJ Stoch MFT 3 📊 Stoch MTF 3 TF Direction Only This indicator is a Multi-Timeframe Stochastic (MTF) designed to identify trade direction by analyzing the Stochastic direction across 3 different timeframes simultaneously. It focuses only on direction, not overbought/oversold levels, making it ideal as a trend filter to reduce false signals and improve trade accuracy. ⸻ 🔧 How It Works For each selected timeframe, the indicator calculates the Stochastic oscillator and determines its direction: • 🔼 Bullish → %K is above %D • 🔽 Bearish → %K is below %D A signal is generated only when all 3 timeframes agree on the same direction. ⸻ ⏱ Configurable Timeframes • TF1: Default M1 • TF2: Default M5 • TF3: Default M15 All timeframes are fully customizable to fit any trading style. ⸻ 🎯 Signals on Chart • 🟢 BUY Signal Triggered when Stochastic direction is bullish on all 3 timeframes. • 🔴 SELL Signal Triggered when Stochastic direction is bearish on all 3 timeframes. Signals are displayed as small circles below the candles, keeping the chart clean and readable. ⸻ 🔔 Alerts Built-in TradingView alerts are included: • BUY signal alert • SELL signal alert Suitable for: • Manual trading • Automation / Webhook alerts • EA or trading bot integration ⸻ 📌 Best Use Cases • Scalping and Intraday trading • Traders who rely on Stochastic • Multi-timeframe trend confirmation • Directional filter for any trading strategy ⸻ ⚠️ Disclaimer This indicator is not a standalone trading system. For best results, combine it with proper risk management, price action, or support/resistance analysis.
Pine Script® indicator
by samranj
London SR Cleaner WR (TP 0.20) BY MANOLASSupport & Resistance Break & Close – London Session Scalp Strategy This strategy is based on identifying key Support and Resistance levels derived from the previous London session high and low. The approach focuses on high-probability breakout and retest scenarios using price action confirmation. The system waits for a confirmed breakout (candle close) above resistance or below support. No trades are taken on the first touch of the level. After the breakout, the strategy requires a retest of the level followed by a strong rejection candle (wick rejection) before entering the market. Trades are executed only after confirmation to avoid false breakouts and liquidity sweeps. The strategy is designed primarily for short-term intraday scalping, targeting small, consistent gains (approximately 0.20% per trade). Risk management is applied by placing stop loss beyond the rejection candle structure, while limiting trades to a maximum of two per day to maintain discipline and avoid overtrading. The strategy performs best during the London session due to higher liquidity and cleaner price action, particularly on instruments such as XAUUSD.
Pine Script® strategy
by Petergolfr
Volume Average [UkutaLabs]█ OVERVIEW Volume Average is a simple yet powerful indicator designed to help traders quickly understand how current trading volume compares to its historical norm. By plotting an average volume line directly on the volume chart, this indicator makes it easy to identify periods of unusually high or low participation , which often precede or confirm meaningful price movements. Rather than focusing on raw volume alone, Volume Average provides essential context—helping traders distinguish between routine market activity and moments when volume truly matters. █ HOW IT WORKS The indicator calculates a moving average of volume over a user-defined period and displays it alongside standard volume bars. Volume above the average suggests increased market interest Volume below the average indicates reduced participation Sustained deviations from the average can highlight accumulation, distribution, or breakout conditions █ PRACTICAL USE CASES Confirming breakouts and breakdowns Identifying high-participation trend moves Spotting low-volume consolidations Filtering false price moves caused by weak volume █ SETTINGS Adjustable volume average length Works on all markets and timeframes Compatible with any trading style (scalping, day trading, swing trading) █ SUMMARY Volume Average is a clean, no-noise tool that helps traders focus on what matters most: when volume is truly significant . It pairs well with price action, support and resistance, and trend-based strategies.
Pine Script® indicator
by UkutaLabs
SMC Strategy Hub + Alerts💎 SMC Strategy Hub: Institutional Orderflow & Market Structure Overview This indicator is a comprehensive toolkit designed for traders who follow ICT, SMC (Smart Money Concepts), and The Quarterly Theory. It automates the detection of high-probability setups by identifying where institutional money is moving, specifically focusing on the "Model 1-4" setups found in professional price action trading. 🚀 Key Features • Automatic Market Structure Shifts (MSS): Detects trend reversals the moment a swing high or low is violated. • Fair Value Gap (FVG) Detection: Automatically draws supply and demand imbalances (Green/Red boxes). • Live Trade Dashboard: A real-time UI showing current Trend Bias, Active Signals, and dynamic Take Profit targets. • ATR Risk Engine: Calculates precise Stop Loss and Take Profit levels based on current market volatility.  • NY Session Filter: Optional toggle to focus exclusively on the high-probability New York "Silver Bullet" hours (07:30–12:00 EST). 📖 Step-by-Step Usage Guide Step 1: Identify the Bias Check the Dashboard in the top-right corner. • BULLISH: Look only for Buy setups. • BEARISH: Look only for Sell setups. • NEUTRAL: The market is consolidating; stay patient. Step 2: Wait for the Signal The script will plot a BUY or SELL label on the chart. These signals trigger when a Market Structure Shift (MSS) aligns with price momentum. Note: For the highest probability, ensure the signal appears during the NY Session (if the filter is active). Step 3: Refine the Entry (The "A+" Setup) Don't just chase the signal! For an elite entry, wait for price to retrace into the nearest Fair Value Gap (FVG) box: • In a BUY setup, wait for price to dip back into the Green Box. • In a SELL setup, wait for price to rally back into the Red Box. Step 4: Manage the Trade Once the entry is triggered, use the levels provided by the label: • Stop Loss (SL): Place your stop at the price indicated to protect your capital. • Take Profit (TP): The script calculates a logical exit based on a healthy Reward-to-Risk ratio. ⚙️ Recommended Settings • Timeframe: 5-Minute or 15-Minute (Best for Intraday/Scalping). • Asset Classes: Forex (EURUSD, GBPUSD), Indices (NAS100, US30), and Crypto. • NY Filter: Highly recommended for traders following ICT's "Silver Bullet" methodology.
Pine Script® indicator
by mueleezytrade
Smart Krypto Futures Daytrade Suite Here is the complete **Strategy & User Guide** for your **"Smart Crypto Futures Daytrade Suite (Final)"** in English. --- # 📘 Smart Crypto Futures Daytrade Suite – User Guide ### 1. Overview This suite is an all-in-one institutional-grade tool designed for **Scalping and Daytrading** cryptocurrencies (Bitcoin, Ethereum, Altcoins). It combines high-timeframe trends with lower-timeframe entry triggers, liquidity levels, and a real-time market dashboard. ### 2. The Visual Legend (What is what?) #### A) Trend & Momentum (The "Traffic Light") * **🟣 Daily EMA 50 (Neon Violet):** The **Macro Trend**. * *Price Above:* Bullish Bias (Look for Longs). * *Price Below:* Bearish Bias (Look for Shorts). * **🟢 4h EMA 50 (Neon Green):** The **Swing Trend**. Ideally, price is above both the Violet and Green lines for a strong trend. * **🔵 WMA 200 (Royal Blue):** The **"Last Line of Defense"**. A weighted moving average often respected by algorithms as major dynamic support or resistance. * **💠 VWAP (Cyan/Light Blue):** The **Session Anchor**. * *Bullish Day:* Price stays above VWAP. * *Bearish Day:* Price stays below VWAP. * **🟡 EMA 9 (Yellow):** The **Entry Trigger**. Use this for timing. Enter when a candle closes above/below this line after a pullback. #### B) Market Structure & Zones * **🟥 / 🟩 Boxes (Solid):** **Supply & Demand Zones** (1h Timeframe). These are major reversal areas. * **⬜ FVG Boxes (Transparent):** **Fair Value Gaps**. Imbalances in the market that price often wants to fill ("mitigate") before continuing the trend. #### C) Liquidity & Targets * **🟡 POC Line (Gold):** **Point of Control** (Yesterday’s highest volume price). * *Rule:* Use as a **Take Profit** target. Price acts like a magnet to this level. * **⚪ PDH / PDL (Grey Dashed):** **Previous Day High / Low**. * *Strategy:* Watch for "Fakeouts" (Liquidity Grabs) at these levels to take a reversal trade. --- ### 3. The Dashboard (Head-Up Display) Located in the top right corner, this panel gives you an instant overview of the market health without switching charts. **Columns:** 1. **ASSET:** Monitors BTC, ETH, Bitcoin Dominance (BTC.D), and Tether Dominance (USDT.D). 2. **TREND (15m):** Compares Price vs. EMA 50 (15m timeframe). * **🟢 BULL:** Short-term trend is Up. * **🔴 BEAR:** Short-term trend is Down. 3. **RSI (15m):** Relative Strength Index (14). * **🟢 < 30:** Oversold (Potential Bounce / Long opportunity). * **🔴 > 70:** Overbought (Potential Pullback / Short opportunity). * **⚪ 30-70:** Neutral. **Correlations to watch:** * If **BTC.D** is BULL (Green), money is flowing into Bitcoin (Altcoins might bleed). * If **USDT.D** is BULL (Green), traders are fleeing to cash (Crypto prices usually drop). --- ### 4. Trading Strategy Blueprints #### Setup A: The "Trend Pullback" (High Probability) 1. **Context:** Price is above **Daily EMA (Violet)** and **4h EMA (Green)**. 2. **Pullback:** Price drops down to test the **WMA 200 (Royal Blue)** or **VWAP (Cyan)**. 3. **Confluence:** Ideally, there is a **Green Demand Zone** or an **FVG** at the same level. 4. **Trigger:** Wait for a candle to close back above the **EMA 9 (Yellow)**. 5. **Target:** The **POC (Gold)** or **PDH (Grey)**. #### Setup B: The "Liquidity Sweep" (Reversal) 1. **Context:** Price shoots up rapidly. 2. **Event:** Price breaks the **PDH (Previous Day High)** but fails to close above it (leaves a long wick). 3. **Dashboard Check:** RSI is red (> 70). 4. **Entry:** Short when price falls back below the PDH. 5. **Target:** Back to the **VWAP** or **POC**. --- ### 5. Risk Management Rules * **No Man's Land:** Do not trade when price is far away from all EMAs and VWAP. Wait for a return to value. * **The Chop:** If the EMAs are flat and weaving through price, the market is ranging. Reduce position size or wait. * **VWAP Rule:** In a strong trend, the VWAP often acts as the "floor" (Longs) or "ceiling" (Shorts). If price breaks VWAP with volume, the day's trend might be changing. **Enjoy the suite! Simplicity is the ultimate sophistication.**
Pine Script® indicator
by socke1986
Supertrend Elite Trend System🏆 SUPERTREND ELITE TREND SYSTEM (SETS) A sophisticated multi-indicator voting system designed for crypto trending markets, combining 10 powerful technical indicators with weighted scoring and trend confirmation. 📊 BACKTESTED PERFORMANCE (2018-2026): - Total Return: +2,170% - Win Rate: 30.23% - Profit Factor: 2.4 - Max Drawdown: 41.72% - Total Trades: 43 🎯 HOW IT WORKS: The system uses 10 carefully selected indicators that "vote" on market direction: 1. Supertrend - Trend following baseline 2. ALMA - Smooth trend detection (Weight: 2) 3. CTI - Correlation Trend Indicator 4. STC - Sebastine Trend Catcher (Weight: 2) 5. GUNXO - Dual EMA trend sniper 6. DEMA DMI - Combined momentum & trend (Weight: 2) 7. MM - Market momentum indicator 8. DMI Loop - Directional movement analysis 9. Trend Oscillator - Fast/slow EMA divergence 10. Stochastic - Overbought/oversold conditions Each indicator votes BULL (+1 or +2) or BEAR (-1 or -2), creating a weighted score out of 13 possible points. 🔥 SIGNAL GENERATION: - STRONG BULL: Score difference > +4 (sustained 2 bars) - WEAK BULL: Score difference > +1 (sustained 2 bars) - WEAK BEAR: Score difference < -1 (sustained 2 bars) - STRONG BEAR: Score difference < -4 (sustained 2 bars) The 2-bar confirmation requirement filters out false signals and reduces whipsaws. 💎 BEST FOR: - Crypto markets (BTC, ETH, major altcoins) - 4H to Daily timeframes - Trending markets (bull or bear) - Long-term position holders ⚠️ NOT RECOMMENDED FOR: - Ranging/sideways markets - Scalping or day trading - Low-volume altcoins - High-frequency trading 📈 VISUAL FEATURES: - Color-coded trend line below price (Green = Bull, Red = Bear) - Real-time score dashboard showing bull/bear votes - Clear action signals (BUY/HOLD, CAUTION, REDUCE, SELL/EXIT) - Built-in alerts for trend changes 💡 STRATEGY: The system is designed for "buy and hold during uptrends" approach. Enter on STRONG BULL or WEAK BULL signals, exit on WEAK BEAR or STRONG BEAR signals. Works best when combined with proper risk management and position sizing. 📱 ALERTS AVAILABLE: - Strong Buy Signal - Strong Sell Signal - Trend Weakening Warning - Bearish Turn Warning Created and backtested by advanced algorithmic trading research. Not financial advice - always do your own research and never risk more than you can afford to lose.
Pine Script® strategy
by Optimized4U
Pulse Mean AcceleratorPulse Mean Accelerator (PMA) | MisinkoMaster Pulse Mean Accelerator (PMA) is a high-speed adaptive trend engine designed to dynamically accelerate or stabilize its behavior depending on how aggressively price moves relative to its underlying structure. Instead of acting like a traditional moving average that simply lags behind price, PMA attempts to anticipate momentum expansion by accelerating when price pulses strengthen and stabilizing when market movement slows. The result is a responsive yet smooth trend-following tool that adapts to both trending and consolidating markets. PMA is particularly useful for traders who want earlier participation in expanding trends without sacrificing structural clarity. By combining adaptive acceleration, volatility awareness, and layered smoothing, PMA balances speed and stability to help traders remain aligned with developing momentum. Key Features Adaptive acceleration that reacts when price movement intensifies Automatically slows down during consolidation to reduce noise Multiple moving average types supported for flexibility Volatility-aware responsiveness adjustment Optional confirmation logic to filter weak signals Multiple smoothing modes for balancing speed vs stability Dynamic candle coloring reflecting active trend state Automatic Long and Short markers when direction changes Works across fast intraday and slower swing environments Designed to reduce lag while preserving structure How It Works Pulse Mean Accelerator begins with a moving average structure but enhances it by measuring how aggressively price moves relative to that baseline. When price starts moving faster than the average, acceleration increases, allowing the indicator to catch up quickly. When price slows or becomes erratic, acceleration reduces, preventing excessive reaction to noise. Volatility measurements are incorporated to scale this acceleration, ensuring that responsiveness adapts naturally to current market conditions. Strong moves result in quicker adaptation, while quiet markets lead to smoother, calmer behavior. Additional smoothing layers can then be applied, allowing traders to choose between faster responsiveness or more stable structure depending on their trading style. Optional confirmation logic ensures that signals are not triggered solely by temporary price spikes, helping filter weaker moves. The outcome is a moving average framework that behaves more like a dynamic trend engine rather than a static lagging indicator. Trend Detection Logic Trend direction is determined by how price behaves relative to the accelerated mean structure. Bullish phases occur when price maintains strength above the adaptive mean while momentum confirms upward pressure. Bearish phases occur when price weakens below the structure and downward momentum dominates. Signals appear when participation shifts strongly enough to confirm directional change, helping traders detect transitions from consolidation to expansion phases. Acceleration Behavior A defining characteristic of PMA is its pulse acceleration mechanism. • Strong price pulses increase responsiveness • Weak or slow price movement reduces acceleration • Volatility conditions influence adaptation speed • Structure remains smooth when momentum is weak This dynamic adjustment helps traders enter trends earlier while avoiding excessive reactions during sideways markets. Smoothing Modes PMA includes multiple smoothing options so users can tune responsiveness: • Raw acceleration for fastest reaction • Exponential stabilization for balanced behavior • Additional smoothing layers for structural clarity • Double smoothing for maximum noise reduction This flexibility allows PMA to be tailored for scalping, intraday trading, or higher-timeframe trend following. Visual Signals The indicator provides several visual cues for ease of interpretation: • Candle coloring reflects active trend direction • Adaptive mean and accelerated mean are plotted together • Long and Short markers appear when trend shifts occur • Filled areas highlight separation between price and structure These features help traders read market structure quickly without relying on numerical interpretation. Inputs Overview Users can customize behavior through adjustable components including: • Price source selection used in calculations • Moving average type controlling base structure • Length settings affecting responsiveness • Acceleration sensitivity determining reaction speed • Volatility measurement type influencing adaptation • Smoothing mode selection for stability control • Optional confirmation filtering for signal validation These controls allow the tool to be tuned for both aggressive and conservative trading approaches. Usage Notes Ideal for traders needing faster adaptation to momentum expansion Helps detect early stages of trend acceleration Useful for filtering sideways noise while remaining reactive to breakouts Works well in volatile assets where traditional averages lag Can be combined with support/resistance or volume tools for confirmation Higher smoothing settings suit swing traders, lower smoothing benefits intraday traders Confirmation mode reduces false signals in choppy markets Parameter tuning improves performance across different assets Best Use Scenarios Pulse Mean Accelerator performs particularly well in: • Momentum expansion phases • Breakouts from consolidation ranges • Trend continuation environments • High-volatility market conditions • Assets showing periodic acceleration bursts • Markets transitioning from low to high volatility It is especially effective where traditional moving averages react too slowly to developing moves. Summary Pulse Mean Accelerator transforms traditional moving average logic into an adaptive trend engine capable of accelerating when price momentum expands and stabilizing during calm conditions. By blending acceleration, volatility awareness, and flexible smoothing, it provides traders with a faster yet structured view of market direction. PMA is best suited for traders seeking earlier trend participation while maintaining smooth, readable structure across both fast-moving and consolidating markets.
Pine Script® indicator
by MisinkoMaster
Colidation Breakout Structure(HA-CBS)Overview Most breakout indicators suffer from "noise," reacting to every minor price movement and producing frequent fakeouts. HA-CBS solves this by utilizing Heikin-Ashi (HA) smoothing and Swing Point analysis to isolate periods of extreme energy accumulation (Consolidation) and verifying the subsequent breakout with Fair Value Gaps (FVG) . ⚠️ Usage Note: This script is strictly optimized for Heikin-Ashi charts . The core logic relies on Heikin-Ashi body (Open/Close) calculations. To ensure the signals align perfectly with the price action you see, please switch your chart type to Heikin-Ashi. How it Works: The HA-CBS Logic Unlike generic indicators that draw signals instantly, HA-CBS follows a rigorous three-step verification process to ensure market displacement is real: Structural Mapping: Using a multi-term swing point algorithm, the script identifies key supply and demand boundaries. Consolidation Counting (The "Coil"): The script measures how many consecutive Heikin-Ashi bodies remain "tucked" within the structural range. A built-in CANDLE_MARGIN_RATE ensures that insignificant doji-like candles don't disrupt the count. The longer the "coil," the higher the potential for an explosive breakout. Kinetic Validation (FVG): When price finally breaks the structural boundary, the script checks for a Fair Value Gap. An FVG-backed breakout confirms that institutional "Impulse" is present, distinguishing a genuine trend start from a mere stop-run. Key Features Impulse Filter: Filters out low-momentum movements by requiring an FVG at the moment of the structural break. HA-Body Precision: Focuses on the "core" of the candle, ignoring volatile wicks that often lead to false signals. Multi-Term Flexibility: Users can toggle between Short, Intermediate, and Long-term swing structures to suit scalping, day trading, or swing trading. Recent Candidate Mode: Use the Recent Only toggle to keep your chart clean by only displaying the most recent and relevant breakout candidate for each structure. Trading Strategy Strategy A: The Impulse Entry (Aggressive) Enter the trade as soon as the HA-CBS signal is confirmed (HA Close breaks the structure with an FVG). This captures the immediate momentum as a new supply/demand imbalance is established. Strategy B: The Mitigation Entry (Conservative) Wait for price to return (retrace) to the identified HA-CBS Block. Institutional players often "mitigate" their positions by returning to the breakout source. This approach typically offers a higher Risk/Reward ratio.
Pine Script® indicator
by Hanageman
1
Relative Valuation Oscillator [QuantAlgo]🟢 Overview The Relative Valuation Oscillator identifies statistical price deviations from fair value using logarithmic price analysis and standard deviation bands. It calculates how far current price has deviated from its mean on a logarithmic scale, normalized by volatility, to generate a centered oscillator that highlights periods when price is statistically stretched above or below its historical average, helping traders identify potential mean reversion opportunities and extreme valuation conditions across different timeframes and markets. 🟢 How It Works The indicator's core methodology lies in its statistical approach to price valuation, where deviations are measured using logarithmic returns and normalized by standard deviation: log_price = math.log(close) mean_log_price = ta.sma(log_price, lookback_period) standard_deviation = ta.stdev(log_price, lookback_period) valuation_score = (log_price - mean_log_price) / standard_deviation First, the script converts price to logarithmic form to account for percentage-based price movements rather than absolute dollar changes, ensuring the indicator works consistently across different price levels and asset classes. Then, it calculates the mean log price over the specified lookback period to establish a baseline fair value reference: mean_log_price = ta.sma(log_price, lookback_period) Next, standard deviation measurement quantifies the typical volatility of log price around this mean, providing a statistical framework for defining normal versus extreme price behavior: standard_deviation = ta.stdev(log_price, lookback_period) The valuation score is then derived by measuring how many standard deviations the current log price sits from its mean, creating a normalized oscillator that fluctuates around zero: valuation_score = (log_price - mean_log_price) / standard_deviation Finally, threshold-based signal detection identifies extreme conditions when the valuation score exceeds user-defined standard deviation multiples: is_overvalued = valuation_score > threshold_mult is_undervalued = valuation_score < -threshold_mult This creates a statistical mean reversion system that identifies when price has deviated significantly from its historical average on a volatility-adjusted basis, providing traders with objective measurements of relative over or undervaluation. 🟢 Signal Interpretation ▶ Undervalued Zone (Below Negative Threshold): Oscillator falling below the negative threshold line indicates price has deviated significantly below its statistical mean = Potential long/buy opportunities for mean reversion strategies ▶ Overvalued Zone (Above Positive Threshold): Oscillator rising above the positive threshold line indicates price has deviated significantly above its statistical mean = Potential short/sell or profit-taking opportunities ▶ Fair Value Range (Between Thresholds): Oscillator remaining between positive and negative threshold lines indicates price is trading within normal statistical bounds. Within this range, the zero line acts as a directional filter: oscillator above zero but below the upper threshold suggests bullish trend/momentum with price trading above its statistical mean = Trend-following long positions can be maintained; oscillator below zero but above the lower threshold suggests bearish trend/momentum with price trading below its statistical mean = Trend-following short positions can be maintained. The oscillator can remain in these directional zones during sustained trends until mean reversion occurs, signaled by crosses back toward zero or transitions to the opposite extreme threshold. ▶ Zero Line Crosses: Oscillator crossing above zero indicates transition from below-average to above-average valuation, confirming shift to bullish momentum = Potential trend-following long entry; crossing below zero indicates transition from above-average to below-average valuation, confirming shift to bearish momentum = Potential trend-following short entry or long exit. These crosses can signal both the start of directional trends and early mean reversion from extreme conditions. 🟢 Features ▶ Preconfigured Presets: Three optimized parameter sets for different trading approaches and timeframes. "Default" provides balanced sensitivity for swing trading on 4-hour and daily charts, generating signals at statistically significant deviations. "Fast Response" delivers more frequent signals for intraday trading on 5-minute to 1-hour charts, reacting quickly to short-term deviations with increased signal frequency. "Smooth Trend" focuses on major extremes for position trading on daily to weekly timeframes, filtering noise to identify only the most significant statistical outliers. ▶ Built-in Alerts: Five alert conditions enable automated monitoring of valuation extremes and transitions. "Overvalued Threshold Crossed" triggers when the oscillator crosses above the positive threshold, signaling potential overvaluation. "Undervalued Threshold Crossed" activates when the oscillator crosses below the negative threshold, signaling potential undervaluation. "Crossed Above Fair Value (0)" and "Crossed Below Fair Value (0)" provide alerts for zero line transitions, indicating shifts between above-average and below-average valuation. "Any Extreme Valuation" offers a combined alert for any threshold breach regardless of direction, allowing traders to monitor both extremes with a single alert setup. ▶ Color Customization: Six visual themes (Classic, Aqua, Cosmic, Cyber, Neon, plus Custom) accommodate different chart backgrounds and visual preferences, with distinct colors for overvalued, undervalued, and fair value conditions. Optional background highlighting with adjustable transparency (0-100%) tints the main chart background during extreme valuation periods, providing immediate visual context without requiring continuous oscillator monitoring. Optional overlay signals display small circle markers directly on the price chart above bars during overvaluation and below bars during undervaluation, allowing correlation of statistical extremes with specific price levels and candlestick patterns.
Pine Script® indicator
by QuantAlgo
5, 8, 21, 200 EMA Daily 200 SMA Daily VWAPMulti-timeframe EMA stack with Daily VWAP & 200 SMA This clean overlay indicator combines popular exponential moving averages (5, 8, 21, 200 EMA on current timeframe) with a higher-timeframe Daily 200 SMA and session-resetting Daily VWAP — perfect for trend following, dynamic support/resistance, and intraday bias on stocks, forex, crypto, or futures. Key Features: • 5 EMA (very fast) – quick momentum & scalping filter (default lime) • 8 EMA (fast) – short-term trend & pullback entries (default blue) • 21 EMA (medium) – intermediate trend & confluence zone (default orange) • 200 EMA (long) – major trend direction & big-picture support/resistance (default purple) • Daily 200 SMA – smooth higher-timeframe trend line that stays constant on lower TFs (default teal, thicker line) • Daily VWAP – volume-weighted average price that resets each trading day (default yellow) All lines feature right-edge labels that auto-refresh daily and follow price action (toggleable + size adjustable). Common uses: - Trend alignment: Trade in direction of higher EMAs + Daily 200 SMA - Pullbacks: Enter near 5/8/21 EMA when aligned with 200s - Intraday mean reversion: Use Daily VWAP as fair value anchor - Dynamic S/R: Watch reactions at these levels Fully customizable colors, lengths, and label visibility. Clean code, no repainting issues on historical bars. Happy trading!
Pine Script® indicator
by Cag100
DkS Morning Start PRO 3.0DkS Morning Start PRO — FX Live Guide (Auto Entry / SL / TP + Asia Range) DkS Morning Start PRO is a professional trading tool designed for Forex and intraday traders who want precise, rule-based entries using the Asian session breakout, with fully automated Entry, Stop Loss, and Take Profit levels. The script automatically detects the Asian session range, monitors breakout conditions during the morning session, and generates a complete trading plan with clean, continuous visual levels directly on the chart. Key Features • Automatic Asian Range (Daily High & Low) Draws the current day’s Asian High and Low and automatically removes previous levels, keeping your chart clean and focused. • Automatic Entry, Stop Loss, and Take Profit Calculated using professional logic based on: Asian range breakout Optional retest confirmation Configurable risk management Custom Risk/Reward ratio • Clean and Professional Visual Display Includes: Continuous Entry, SL, and TP lines Professional labels (Entry / SL / TP) Real-time informational panel Clear and minimal chart design • Live Trading Plan (Before Confirmation) Displays potential Entry, SL, and TP levels in advance, allowing traders to prepare before the signal confirms. • Professional Confirmation Filters Built-in filters for higher-probability setups: Fast and Slow EMA trend filter RSI confirmation filter One trade per day option (ideal for FTMO and prop firms) • Designed for Forex Intraday and Scalping Highly effective on: EURUSD GBPUSD AUDUSD XAUUSD Recommended timeframes: M5 M15 M30 Advantages • Eliminates emotional decision-making • Provides clear, rule-based entries • Improves consistency and discipline • Ideal for FTMO and prop firm trading • Clean, professional interface • Non-repainting logic How It Works Detects the Asian session range Waits for breakout during morning session Confirms retest (optional) Calculates Entry, Stop Loss, and Take Profit Displays full trading plan automatically
Pine Script® indicator
by dksniewieders
1
Trend Matrix: Institutional Confluence EngineTrend Matrix: Institutional Confluence Engine The Institutional Confluence Engine is a professional-grade diagnostic tool designed to solve the two biggest problems in technical analysis: market noise and false breakouts. Unlike standard lagging indicators, the Institutional Confluence Engine uses a sentient resolution engine to adapt its logic based on whether you are scalping or swing trading. It provides a real-time "Efficiency Grade" for the market, allowing you to ignore "C-Grade" chop and focus exclusively on "A-Grade" institutional trends. Institutional Confluence and Alerts: Notifies you only when the Local, HTF1, and HTF2 timeframes all align at an "A-Grade" efficiency—the hallmark of a major structural move. How to Trade It Identify Confluence: Look for the Status Hub in the top right. When all three grades turn Green (A), institutional alignment is at its peak. This is also visible on the chart. Monitor Trend Core: The ribbon acts as dynamic support/resistance. "Trend Flares" (brightening of the ribbon) indicate significant volume spikes entering the trend. Profit Targets: Use the dynamic Green/Red expansion lines. These are volatility-adjusted targets that stretch or contract based on market energy (ATR). Volume Intelligence 1. The Big Money Heatmap (Volume Intelligence) Institutional players leave footprints in the form of volume. This engine visualizes these footprints using a dynamic Volume Profile integrated directly into your price action. Big Money Clusters: These are price levels where massive institutional orders are being "filled." They represent high-conviction zones that act as magnets for price. Major Buy/Sell Zones (POC): This marks the Point of Control—the exact price where the highest volume has transacted. It represents "Fair Value." Breakouts away from this zone often lead to the most explosive moves. Gap Prediction: The engine analyzes the sentiment within volume nodes to predict if the market is preparing for an institutional "Gap Up" or "Gap Down." 2. The Golden Bridge (Structural Confluence) The system calculates the Golden Bridge—a dynamic threshold based on the 0.618 Fibonacci ratio between major structural pivots. The Logic: In institutional finance, the 0.618 level is the "Line in the Sand." If a rally holds above the Golden Bridge, the trend is structurally sound. Golden Cluster Stronghold: When the Golden Bridge aligns perfectly with a Big Money Cluster, the system identifies a "Stronghold." This is the highest-probability support or resistance level generated by the engine. 3. MTF Efficiency Grading (A/B/C) The Trend Matrix doesn't just show direction; it calculates Efficiency. Grade A (High Efficiency): Price is tracking the trend core with minimal deviation. This is where institutional momentum is strongest. Grade B (Moderate Efficiency): Healthy trending with standard pullbacks. Grade C (Low Efficiency/Chop): Price is oscillating. The system will automatically "dim" the interface during these periods to prevent you from over-trading. 4. Status Hub & Intelligent Alerts The Status Hub provides a real-time cockpit of your trading environment, displaying the "Trend Reliability Score" (0-100%) and Multi-Timeframe grades. Confluence Alerts: Get notified when the Local, HTF1, and HTF2 timeframes all reach "A-Grade" status simultaneously. Exhaustion Pillars: Vertical pillars on your chart highlight "Volume Spikes," warning you of potential trend exhaustion before the reversal happens. How to Use Check the Hub: Ensure the Trend Reliability is above 75%. Verify Grade: Look for "A-Grade" efficiency on your local timeframe. Find the Stronghold: Enter trades where the Golden Bridge and Big Money Clusters overlap for the highest-probability entries. Target Expansion: Follow the dynamic Green/Red target lines for volatility-adjusted take-profits. Disclaimer: Trading involves significant risk. This tool is designed for educational and diagnostic purposes and should be used as part of a comprehensive trading plan.
Pine Script® indicator
by TrendMatrix_Labs
XAUUSD Power @ Strict Pivot S/RThis indicator identifies who is in control (buyers or sellers) when price reaches key support and resistance zones, defined using strict pivot points. How it works Automatically plots support and resistance using confirmed pivots. Analyzes candle structure: candle direction (bullish / bearish) body size wick dominance A signal is shown only when: price is near support or resistance (ATR-based filter) there is clear buying or selling strength Signals appear only after the candle closes (no repaint). Signals 🔺 Green triangle → buyers gain control at support 🔻 Red triangle → sellers gain control at resistance Best use Scalping / intraday trading Recommended timeframe: 5-minute Works well on volatile markets such as XAUUSD, US30, NASDAQ Important Confirmation tool, not a prediction system Not an automated trading strategy Should be used with proper risk management
Pine Script® indicator
by Arduzai1999
Scalp Master EliteWe present Scalp Master Elite 👑 This is an advanced trading indicator designed to identify high-probability reversal and take-profit zones 📍. It combines a dynamic EMA + ATR channel 📊 with multiple confirmation indicators (RSI, Stochastic, CCI, Supertrend, Price Action and more) to reduce noise and false signals 🚫📉. Thanks to its volatility-adaptive logic 🌊, the indicator works perfectly for scalping and intraday trading ⚡, while also adapting smoothly to higher timeframes and long-term trades 📈⏳. Inverted bullish / bearish triangle signals 🔺🔻 are followed by one confirmed target per setup 🎯, helping traders manage exits with clarity and discipline. Optional targets 🎯, smart alerts 🔔, ATR-based filters 📐 and a real-time win-rate table 🏆 provide full trade context with clean and intuitive visuals 🧠✨.
Pine Script® indicator
by jake_theboss
JESUS SAVES LevelsJESUS SAVES Levels is a price-action based support and resistance indicator designed to automatically identify and visualize significant market levels. The indicator detects structural peaks and valleys from a user-selectable source timeframe and projects them as horizontal levels across the chart. These levels help traders understand where price previously reacted and where future reactions are more likely. Key Features • Automatic Peak & Valley Detection Levels are generated from clear market structure (swing highs and swing lows). • Multi-Timeframe Analysis Choose any source timeframe (e.g. M5, M15, H1) while viewing the levels on any chart timeframe, including M1. • Dynamic Level Validation Levels remain active as long as price respects them. Once broken, they are automatically marked as invalid and visually faded, remaining visible only for historical context. • Clean & Minimal Chart Design Valid levels are clearly visible, while invalid levels fade into the background to keep the chart readable. • Performance Optimized An internal level limit ensures fast loading and smooth performance, even on lower timeframes. Ideal For • Support & resistance trading • Market structure analysis • Intraday and scalping strategies • Higher-timeframe context on lower-timeframe charts JESUS SAVES Levels focuses on clarity, structure, and discipline — helping traders better understand price behavior without clutter or subjective drawing.
Pine Script® indicator
by sigusto
EMA Multi Cross + SR Breaks & RetestsDescription The EMA Multi Cross with Support & Resistance Break & Retest indicator combines trend-following moving averages with dynamic support and resistance zone detection to help traders identify trend direction, momentum shifts, and key price reaction areas in real time. The indicator plots multiple Exponential Moving Averages (EMAs) to provide a clear view of short-, medium-, and long-term trends while automatically detecting high-volume support and resistance zones. It also highlights when these zones break or successfully hold, helping traders spot potential continuation or reversal opportunities. Key Features Multi-EMA Trend System The indicator displays EMA 9, 13, 15, 21, 50, and 200 to help traders quickly assess trend structure and market momentum. EMA Crossover Alerts Alerts can be triggered when important EMA crossovers occur, helping traders capture momentum shifts and potential entries. Cross alerts included: EMA 9 crossing EMA 15 EMA 9 crossing EMA 21 EMA 13 crossing EMA 50 EMA 21 crossing EMA 200 Both bullish and bearish signals are supported. Dynamic Support & Resistance Zones The script automatically detects potential support and resistance areas based on price pivots and volume activity, plotting them as zones directly on the chart. Stronger zones appear darker, helping traders quickly identify important reaction areas. Break & Retest Detection When price breaks a support or resistance zone, the zone changes appearance to visually confirm the breakout. If price returns and holds the level, the zone adjusts back, signaling a possible continuation. This helps traders identify: Breakouts Failed breakouts Retests Trend continuation setups Customizable Display Users can enable or disable support & resistance detection and adjust detection sensitivity according to their trading style. Typical Use Cases • Trend-following entries using EMA alignment • Breakout trading • Retest confirmation entries • Scalping and intraday setups • Swing trading trend confirmation
Pine Script® indicator
by SARANJEET14