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Smart Money Flow Cloud [BOSWaves]Smart Money Flow Cloud - Volume-Weighted Trend Detection with Adaptive Volatility Bands Overview Smart Money Flow Cloud is a volume flow-aware trend detection system that identifies directional market regimes through money flow analysis, constructing adaptive volatility bands that expand and contract based on institutional pressure intensity. Instead of relying on traditional moving average crossovers or fixed-width channels, trend direction, band width, and signal generation are determined through volume-weighted money flow calculation, nonlinear flow strength modulation, and volatility-adaptive band construction. This creates dynamic trend boundaries that reflect actual institutional buying and selling pressure rather than price momentum alone - tightening during periods of weak flow conviction, expanding during strong directional moves, and incorporating flow strength statistics to reveal whether regimes formed under accumulation or distribution conditions. Price is therefore evaluated relative to adaptive bands anchored at a flow-informed baseline rather than conventional trend-following indicators. Conceptual Framework Smart Money Flow Cloud is founded on the principle that sustainable trends emerge where volume-weighted money flow confirms directional price movement rather than where price alone creates patterns. Traditional trend indicators identify regime changes through price crossovers or slope analysis, which often ignore the underlying volume dynamics that validate or contradict those movements.This framework replaces price-centric logic with flow-driven regime detection informed by actual buying and selling volume. Three core principles guide the design: Trend direction should correspond to volume-weighted flow dominance, not price movement alone. Band width must adapt dynamically to current flow strength and volatility conditions. Flow intensity context reveals whether regimes formed under conviction or uncertainty. This shifts trend analysis from static moving averages into adaptive, flow-anchored regime boundaries. Theoretical Foundation The indicator combines adaptive baseline smoothing, close location value (CLV) methodology, volume-weighted flow tracking, and nonlinear strength amplification. A smoothed trend baseline (EMA or ALMA) establishes the core directional reference, while close location value measures where price settled within each bar's range. Volume weighting applies directional magnitude to flow calculation, which accumulates into a normalized money flow ratio. Flow strength undergoes nonlinear power transformation to amplify strong conviction periods and dampen weak flow environments. Average True Range (ATR) provides volatility-responsive band sizing, with final width determined by the interaction between base volatility and flow-modulated multipliers. Four internal systems operate in tandem: Adaptive Baseline Engine : Computes smoothed trend reference using either EMA or ALMA methodology with configurable secondary smoothing. Money Flow Calculation System : Measures volume-weighted directional pressure through CLV analysis and ratio normalization. Nonlinear Flow Strength Modulation : Applies power transformation to flow intensity, creating dynamic sensitivity scaling. Volatility-Adaptive Band Construction : Scales band width using ATR measurement combined with flow-strength multipliers that range from minimum (calm) to maximum (strong flow) expansion. This design allows bands to reflect actual institutional behavior rather than reacting mechanically to price volatility alone. How It Works Smart Money Flow Cloud evaluates price through a sequence of flow-aware processes: Close Location Value (CLV) Calculation : Each bar's closing position within its high-low range is measured, creating a directional bias indicator ranging from -1 (closed at low) to +1 (closed at high). Volume-Weighted Flow Tracking : CLV is multiplied by bar volume, then accumulated and normalized over a configurable flow window to produce a money flow ratio between -1 and +1. Flow Smoothing and Strength Extraction : The raw money flow ratio undergoes optional smoothing, then nonlinear power transformation to amplify strong flow periods and compress weak flow environments. Adaptive Baseline Construction : Price (both open and close) is smoothed using either EMA or ALMA methodology with optional secondary smoothing to create a stable trend reference. Dynamic Band Sizing : ATR measurement is multiplied by a flow-strength-modulated factor that interpolates between minimum (tight) and maximum (wide) multipliers based on current flow conviction. Regime Detection and Visualization : Price crossing above the upper band triggers bullish regime, crossing below the lower band triggers bearish regime. The baseline cloud visualizes open-close relationship within the current trend. Retest Signal Generation : Price touching the baseline from within an established regime generates retest signals with configurable cooldown periods to prevent noise. Together, these elements form a continuously updating trend framework anchored in volume flow reality. Interpretation Smart Money Flow Cloud should be interpreted as flow-confirmed trend boundaries: Bullish Regime (Blue) : Activated when price crosses above the upper adaptive band, indicating volume-confirmed buying pressure exceeding volatility-adjusted resistance. Bearish Regime (Red) : Established when price crosses below the lower adaptive band, identifying volume-confirmed selling pressure breaking volatility-adjusted support. Baseline Cloud : The gap between smoothed open and smoothed close within the baseline visualizes intrabar directional bias - wider clouds indicate stronger intrabar momentum. Adaptive Band Width : Reflects combined volatility and flow strength - wider bands during high-conviction institutional activity, tighter bands during consolidation or weak flow periods. Buy/Sell Labels : Appear at regime switches when price crosses from one band to the other, marking potential trend inception points. Retest Signals (✦) : Diamond markers indicate price touching the baseline within an established regime, often occurring during healthy pullbacks in trending markets. Trend Strength Gauge : Visual meter displays current regime strength as a percentage, calculated from price position within the active band relative to baseline. Background Gradient : Optional coloring intensity reflects flow strength magnitude, darkening during high-conviction periods. Flow strength, band width adaptation, and baseline relationship outweigh isolated price fluctuations. Signal Logic & Visual Cues Smart Money Flow Cloud presents three primary interaction signals: Regime Switch - Buy : Blue "Buy" label appears when price crosses above the upper band after previously being in a bearish regime, suggesting volume-confirmed bullish transition. Regime Switch - Sell : Red "Sell" label displays when price crosses below the lower band after previously being in a bullish regime, indicating volume-confirmed bearish transition. Trend Retest : Diamond (✦) markers appear when price touches the baseline within an established regime, with configurable cooldown periods to filter noise. Alert generation covers regime switches and retest events for systematic monitoring. Strategy Integration Smart Money Flow Cloud fits within volume-informed and institutional flow trading approaches: Flow-Confirmed Entry : Use regime switches as primary trend inception signals where volume validates directional breakouts. Retest-Based Refinement : Enter on baseline retest signals within established regimes for improved risk-reward positioning during pullbacks. Band Width Context : Expect wider price swings when bands expand (high flow strength), tighter ranges when bands contract (weak flow). Baseline Cloud Confirmation : Favor trades where baseline cloud width confirms intrabar momentum alignment with regime direction. Strength Gauge Filtering : Use trend strength percentage to gauge continuation probability - higher readings suggest stronger institutional conviction. Multi-Timeframe Regime Alignment : Apply higher-timeframe regime context to filter lower-timeframe entries, taking only setups aligned with dominant flow direction. Technical Implementation Details Core Engine : Configurable EMA or ALMA baseline with secondary smoothing Flow Model : Close Location Value (CLV) with volume weighting and ratio normalization Strength Transformation : Configurable power function for nonlinear flow amplification Band Construction : ATR-scaled width with flow-strength-interpolated multipliers Visualization : Dual-line baseline cloud with gradient fills, regime-colored bands, and embedded strength gauge Signal Logic : Band crossover detection with baseline retest identification and cooldown management Performance Profile : Optimized for real-time execution with minimal computational overhead Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Micro-structure regime detection for scalping and intraday reversals 15 - 60 min : Intraday trend identification with flow-validated swings 4H - Daily : Swing and position-level regime analysis with institutional flow context Suggested Baseline Configuration: Trend Length : 34 Trend Engine : EMA Trend Smoothing : 3 Flow Window : 24 Flow Smoothing : 5 Flow Boost : 1.2 ATR Length : 14 Band Tightness (Calm) : 0.9 Band Expansion (Strong Flow) : 2.2 Reset Cooldown : 12 These suggested parameters should be used as a baseline; their effectiveness depends on the asset's volume profile, volatility characteristics, and preferred signal frequency, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Bands too wide/frequent whipsaws : Reduce "Band Expansion (Strong Flow)" to limit maximum band width, or increase "Band Tightness (Calm)" to widen minimum bands and reduce noise sensitivity. Trend baseline too choppy : Increase "Trend Length" for smoother baseline, or increase "Trend Smoothing" for additional filtering. Flow readings unstable : Increase "Flow Smoothing" to reduce bar-to-bar noise in money flow calculation. Missing legitimate regime changes : Decrease "Trend Length" for faster baseline response, or reduce "Band Tightness (Calm)" for earlier breakout detection. Too many retest signals : Increase "Reset Cooldown" to space out retest markers, or disable retest signals entirely if not using pullback entries. Flow strength not responding : Increase "Flow Boost" (power factor) to amplify strong flow differentiation, or decrease "Flow Window" to emphasize recent volume activity. Prefer different smoothing characteristics : Switch "Trend Engine" to ALMA and adjust "ALMA Offset" (higher = more recent weighting) and "ALMA Sigma" (higher = smoother) for alternative baseline behavior. Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions. Performance Characteristics High Effectiveness: Markets with consistent volume participation and institutional flow Instruments where volume accurately reflects true liquidity and conviction Trending environments where flow confirms directional price movement Mean-reversion strategies using retest signals within established regimes Reduced Effectiveness: Extremely low volume environments where flow calculations become unreliable News-driven or gapped markets with discontinuous volume patterns Highly manipulated or thinly traded instruments with erratic volume distribution Ranging markets where price oscillates within bands without conviction Integration Guidelines Confluence : Combine with BOSWaves structure, order flow analysis, or traditional volume profile Flow Validation : Trust regime switches accompanied by strong flow readings and wide band expansion Context Awareness : Consider whether current market regime matches historical flow patterns Retest Discipline : Use baseline retest signals as confirmation within trends, not standalone entries Breach Management : Exit regime-aligned positions when price crosses opposing band with volume confirmation Disclaimer Smart Money Flow Cloud is a professional-grade volume flow and trend analysis tool. Results depend on market conditions, volume reliability, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, market context, and comprehensive risk management.
Indicador Pine Script®
por BOSWaves
6
Institutional PointOverview Institutional Point is a sophisticated data-mining indicator designed to identify and track "institutional footprints" by isolating the single candle with the highest volume relative to a specific time anchor. Unlike traditional volume profiles that aggregate data into price bins, this script pinpoints the exact temporal origin of massive liquidity injections. Core Methodology The script operates on a multi-timeframe analysis engine (MTF). It scans sub-chart data (2-minute or 15-minute intervals) to find the absolute maximum volume peak within a defined period. Once the "Institutional Point" is identified: Source Identification: The origin candle is highlighted in white, signaling a high-conviction entry or exit by large-scale market participants. Zone Projection: A borderless "Institutional Zone" is projected forward from the spike’s high/low range. Dynamic Interaction: The zone remains active until the price revisits the area (mitigation) or until the time-based expiration is reached. Anchor Modes & Precision 8-Hour Cycle: Optimized for high-frequency scalping. Anchors reset at 00:00, 08:00, and 16:00. Utilizes ultra-precise 2-minute volume detection. Daily Session: Designed for intraday and swing traders. Anchors to the Daily Open. Utilizes 2-minute volume detection to isolate precise institutional orders. Weekly Cycle: Built for identifying major structural pivots. Anchors to the Weekly Open. Utilizes 15-minute volume detection for macro-liquidity analysis. Key Features Naked Level Tracking: Zones automatically stop extending the moment they are "hit" by price action, providing a clean visual of unmitigated liquidity. Anti-Noise Filter: Automatically excludes Saturday and Sunday data to maintain statistical integrity across global markets. Minimalist Interface: High-contrast visual design focused on scannability and professional chart aesthetics. Use Cases Data Science & Backtesting: Ideal for measuring the "Z-Score" or "Percentile Distance" from institutional peaks. Supply & Demand Trading: Automated identification of the "Origin of the Move." Magnet Analysis: Tracking "Naked" volume spikes as high-probability magnets for future price mean reversion.
Indicador Pine Script®
por AlchimistOfCrypto
Delta Reaction Zones [BOSWaves]Delta Reaction Zones - Cumulative Delta-Based Supply and Demand Identification with Flow-Weighted Zone Construction Overview Delta Reaction Zones is a volume flow-aware supply and demand detection system that identifies price levels where significant buying or selling pressure accumulated, constructing adaptive zones around cumulative delta extremes with intelligent flow composition analysis. Instead of relying on traditional price-based support and resistance or fixed pivot structures, zone placement, thickness, and directional characterization are determined through delta accumulation patterns, volatility-adaptive sizing, and the proportional composition of positive versus negative volume flow. This creates dynamic reaction boundaries that reflect actual order flow imbalances rather than arbitrary price levels - contracting during low volatility environments, expanding during elevated volatility periods, and incorporating flow composition statistics to reveal whether zones formed under buying or selling dominance. Price is therefore evaluated relative to zones anchored at delta extremes rather than conventional technical levels. Conceptual Framework Delta Reaction Zones is founded on the principle that meaningful support and resistance emerge where cumulative volume flow reaches local extremes rather than where price alone forms patterns. Traditional support and resistance methods identify turning points through price structure, which often ignores the underlying order flow dynamics that drive those reversals. This framework replaces price-centric logic with delta-driven zone construction informed by actual buying and selling pressure. Three core principles guide the design: Zone placement should correspond to cumulative delta extremes, not price pivots alone. Zone thickness must adapt to current market volatility conditions. Flow composition context reveals whether zones formed under accumulation or distribution. This shifts supply and demand analysis from static price levels into adaptive, flow-anchored reaction boundaries. Theoretical Foundation The indicator combines delta proxy methodology, cumulative volume tracking, adaptive volatility measurement, and flow decomposition analysis. A signed volume delta proxy estimates directional order flow on each bar, which accumulates into a running cumulative delta series. Pivot detection identifies local extremes in either cumulative delta or its rate of change, marking levels where flow momentum reached inflection points. Average True Range (ATR) provides volatility-responsive zone sizing, while impulse window analysis decomposes recent flow into positive and negative components with percentage weighting. Four internal systems operate in tandem: Delta Accumulation Engine : Computes smoothed signed volume and maintains cumulative delta tracking for directional flow measurement. Pivot Detection System : Identifies significant turning points in cumulative delta or delta rate of change to anchor zone placement. Adaptive Zone Construction : Scales zone thickness dynamically using ATR-based volatility measurement around pivot anchors. Flow Composition Analysis : Calculates positive and negative flow percentages over a configurable impulse window to characterize zone formation context. This design allows zones to reflect actual order flow behavior rather than reacting mechanically to price formations. How It Works Delta Reaction Zones evaluates price through a sequence of flow-aware processes: Signed Volume Delta Calculation : Each bar's volume is directionally signed based on close-open relationship, creating a proxy for buying versus selling pressure. Cumulative Delta Tracking : Signed volume accumulates into a running total, revealing sustained directional flow over time. Pivot Identification : Local highs and lows in cumulative delta (or its rate of change) mark significant flow inflection points where zones anchor. Volatility-Adaptive Sizing : ATR multiplier determines zone half-width, automatically adjusting thickness to current market conditions. Flow Decomposition : Positive and negative volume components are separated and percentage-weighted over the impulse window to reveal dominant flow direction. Intelligent Zone Merging : Overlapping zones of the same type automatically merge into broader reaction areas, with flow statistics blended proportionally. Dynamic Extension and Visualization : Zones extend forward with gradient-filled composition segments showing buy versus sell flow proportions. Breach Detection and Cleanup : Zones invalidate automatically when price closes beyond their boundaries, maintaining chart clarity. Together, these elements form a continuously updating supply and demand framework anchored in order flow reality. Interpretation Delta Reaction Zones should be interpreted as flow-anchored supply and demand boundaries: Support Zones (Green) : Form at cumulative delta lows, marking levels where selling exhaustion or buying accumulation occurred. Resistance Zones (Red) : Establish at cumulative delta highs, identifying areas where buying exhaustion or selling distribution dominated. Flow Composition Segments : Visual gradient within each zone reveals the buy/sell flow proportion during zone formation. The upper segment (red tint) represents negative (selling) flow percentage while the lower segment (green tint) represents positive (buying) flow percentage. BUY FLOW / SELL FLOW / MIXED Labels : Indicate dominant flow character when one direction exceeds 60% of total impulse window activity. Net Delta Statistics : Display cumulative flow totals (Δ) alongside percentage breakdowns for immediate context. Zone Thickness : Reflects current volatility environment - wider zones in volatile conditions, tighter zones in calm markets. Zone Merging : Multiple nearby pivots consolidate into broader reaction areas, weighted by their respective flow magnitudes. Flow composition, volatility context, and delta magnitude outweigh isolated price reactions. Signal Logic & Visual Cues Delta Reaction Zones presents two primary interaction signals: Support Reclaim (RC) : Green label appears when price crosses back above a support zone's midline after trading below it, suggesting renewed buying interest. Resistance Re-enter (RE) : Red label displays when price crosses back below a resistance zone's midline after trading above it, indicating resumed selling pressure. Alert generation covers zone creation and midline reclaim/re-entry events for systematic monitoring. Strategy Integration Delta Reaction Zones fits within order flow-informed and supply/demand trading approaches: Flow-Anchored Entry Zones : Use zones as high-probability reaction areas where historical order flow imbalances occurred. Composition-Based Bias : Favor trades aligning with dominant flow character - long setups near zones formed under buying dominance, short setups near selling-dominated zones. Volatility-Aware Targeting : Expect wider reaction ranges when ATR expands zones, tighter ranges when ATR contracts them. Merge-Informed Conviction : Broader merged zones represent multiple flow inflection points, potentially offering stronger support/resistance. Midline Reclaim Validation : Use RC/RE signals as confirmation of zone respect rather than standalone entry triggers. Multi-Timeframe Flow Context : Apply higher-timeframe delta zones to inform lower-timeframe entry precision. Technical Implementation Details Core Engine : Signed volume delta proxy with EMA smoothing Accumulation Model : Persistent cumulative delta tracking with optional rate-of-change pivot detection Zone Construction : ATR-scaled thickness around pivot anchors Flow Analysis : Positive/negative decomposition over configurable impulse window Visualization : Gradient-filled zones with embedded flow statistics and percentage segments Signal Logic : Midline crossover detection with breach-based invalidation Merge System : Proximity-based consolidation with weighted flow blending Performance Profile : Optimized for real-time execution with configurable zone limits Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Micro-structure flow zones for scalping and short-term reversals 15 - 60 min : Intraday supply/demand identification with flow context 4H - Daily : Swing-level reaction zones with macro flow characterization Suggested Baseline Configuration: Delta Smoothing Length : 3 Pivot Length : 12 Pivot Source : Cumulative Delta Impulse Window : 100 ATR Length : 14 ATR Multiplier : 0.35 (reduce for lower timeframes) Maximum Zones : 8 Merge Overlapping Zones : Enabled Merge Gap : 20 ticks These suggested parameters should be used as a baseline; their effectiveness depends on the asset's volume profile, tick structure, and preferred zone density, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Zones appearing oversized : Reduce ATR Multiplier to tighten zone thickness, especially on lower timeframes. Excessive zone clutter : Increase Pivot Length to demand stronger delta extremes before zone creation. Unstable delta readings : Increase Delta Smoothing Length to reduce bar-to-bar noise in flow calculation. Missing significant levels : Decrease Pivot Length or switch Pivot Source to "Cumulative Delta RoC" for flow acceleration sensitivity. Flow percentages feel stale : Reduce Impulse Window Length to emphasize more recent buying/selling composition. Too many merged zones : Decrease Merge Gap (ticks) or disable merging to preserve individual pivot zones. Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions. Performance Characteristics High Effectiveness: Markets with consistent volume and order flow characteristics Instruments where delta proxy correlates well with actual tape reading Mean-reversion strategies targeting flow exhaustion zones Trend continuation entries at zones aligned with dominant flow direction Reduced Effectiveness: Extremely low volume environments where delta proxy becomes unreliable News-driven or gapped markets with discontinuous flow Highly manipulated or illiquid instruments with erratic volume patterns Integration Guidelines Confluence : Combine with BOSWaves structure, market profile, or traditional supply/demand analysis Flow Respect : Trust zones formed with strong net delta magnitude and clear flow dominance Context Awareness : Consider whether current market regime matches zone formation conditions Merge Recognition : Treat merged zones as higher-conviction areas due to multiple flow inflections Breach Discipline : Exit zone-based setups cleanly when price invalidates boundaries Disclaimer Delta Reaction Zones is a professional-grade order flow and supply/demand analysis tool. It uses a volume-based delta proxy that estimates directional pressure but does not access true order book data. Results depend on market conditions, volume reliability, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, volatility context, and comprehensive risk management.
Indicador Pine Script®
por BOSWaves
17
Harmonic Liquidity Waves [JOAT]Harmonic Liquidity Waves Overview Harmonic Liquidity Waves is an open-source oscillator indicator that combines multiple volume-based analysis techniques into a unified liquidity flow framework. It integrates VWAP calculations, Chaikin Money Flow (CMF), Money Flow Index (MFI), and Klinger Volume Oscillator (KVO) with custom harmonic wave calculations to provide a comprehensive view of volume dynamics and money flow. What This Indicator Does The indicator calculates and displays: Liquidity Flow - Volume-weighted price movement accumulated over a lookback period Harmonic Wave - Multi-depth smoothed oscillator derived from liquidity flow Chaikin Money Flow (CMF) - Classic accumulation/distribution indicator Money Flow Index (MFI) - Volume-weighted RSI showing buying/selling pressure Klinger Volume Oscillator (KVO) - Trend-volume relationship indicator Wave Interference - Combined constructive/destructive wave patterns Volume Profile POC - Point of Control from simplified volume distribution How It Works The core liquidity flow calculation tracks volume-weighted price changes: calculateLiquidityFlow(series float vol, series float price, simple int period) => float priceChange = ta.change(price) float volumeFlow = vol * math.sign(priceChange) // Accumulated over period using buffer array float avgFlow = flowSum / period avgFlow The harmonic oscillator applies multi-depth smoothing: harmonicOscillator(series float flow, simple int depth, simple int period) => float harmonic = 0.0 for i = 1 to depth float wave = ta.ema(flow, period * i) / i harmonic += wave harmonic / depth CMF measures accumulation/distribution using the Money Flow Multiplier: float mfm = ((close - low) - (high - close)) / (high - low) float mfv = mfm * vol float cmf = ta.sum(mfv, period) / ta.sum(vol, period) * 100 Signal Generation Liquidity shift signals occur when: Bullish Shift: Smoothed wave crosses above signal line Bearish Shift: Smoothed wave crosses below signal line Strong signals require volume indicator confirmation: Strong Bull: Bullish shift + CMF > 0 + MFI > 50 + KVO > 0 Strong Bear: Bearish shift + CMF < 0 + MFI < 50 + KVO < 0 Divergence detection compares price pivots with liquidity wave pivots to identify potential reversals. Dashboard Panel (Bottom-Right) Wave Strength - Normalized wave magnitude Volume Pressure - Current volume vs average percentage Flow Direction - BUYING or SELLING based on wave sign Histogram - Wave minus signal line value CMF - Chaikin Money Flow reading MFI - Money Flow Index value (0-100) KVO - Klinger oscillator value Vol Confluence - Combined volume indicator score Signal - Current actionable status Visual Elements Liquidity Wave - Main oscillator line Wave Signal - Smoothed signal line for crossover detection Wave Histogram - Difference between wave and signal Wave Interference - Area plot showing combined wave patterns CMF/KVO/MFI Lines - Individual volume indicator plots Divergence Labels - BULL DIV / BEAR DIV markers Shift Markers - Triangles for basic shifts, labels for strong shifts Input Parameters Wave Period (default: 21) - Base period for liquidity calculations Volume Weight (default: 1.5) - Multiplier for volume emphasis Harmonic Depth (default: 3) - Number of smoothing layers Smoothing (default: 3) - Final wave smoothing period Suggested Use Cases Identify accumulation/distribution phases using CMF and wave direction Confirm momentum with MFI overbought/oversold readings Watch for divergences between price and liquidity flow Use strong signals when multiple volume indicators align Timeframe Recommendations Best on 15m to Daily charts. Volume-based indicators require sufficient trading activity for meaningful readings. Limitations Volume data quality varies by exchange and instrument Divergence detection uses pivot-based lookback and may lag Volume Profile POC is simplified and not a full profile analysis Open-Source and Disclaimer This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always use proper risk management. - Made with passion by officialjackofalltrades
Indicador Pine Script®
por officialjackofalltrades
Iridescent Liquidity Prism [JOAT]Iridescent Liquidity Prism | Peer Momentum HUD A multi-layered order-flow indicator that combines microstructure analysis, smart-money footprint detection, and intermarket momentum signals. The script uses dynamic color-shifting themes to visualize liquidity patterns, structure, and peer momentum data directly on the chart. There is so much to choose from inside the settings, if you think it's a mess on the chart it's because you have to personally customize it based on your needs... Core Functionality The indicator calculates and displays several analytical layers simultaneously: Order-Flow Imbalance (OFI): Calculates buy vs. sell volume pressure using volume-weighted price distribution within each bar. Uses an EMA filter (default: 55 periods) to smooth the signal. Values are normalized using standard deviation to identify significant imbalances. Smart Money Footprints: Detects accumulation and distribution zones by comparing volume rate of change (ROC) against price ROC. When volume ROC exceeds a threshold (default: 65%) and price ROC is positive, accumulation is detected. When volume ROC is high but price ROC is negative, distribution is detected. Fractal Structure Mapping: Identifies pivot highs and lows using a fractal detection algorithm (default: 5-bar period). Maintains a rolling window of recent structure points (default: 4 levels) and draws connecting lines to show trend structure. Fair Value Gap (FVG) Detection: Automatically detects price gaps where three consecutive candles create an imbalance. Bullish FVGs occur when the current low exceeds the high two bars ago. Bearish FVGs occur when the current high is below the low two bars ago. Gaps persist for a configurable duration (default: 320 bars) and fade when price fills the gap. Liquidity Void Detection: Identifies candles where the high-low range exceeds an ATR threshold (default: 1.7x ATR) while volume is below average (default: 65% of 20-bar average). These conditions suggest areas where liquidity may be thin. Price/Volume Divergence: Uses linear regression to detect when price trend direction disagrees with volume trend direction. A divergence alert appears when price is trending up while volume is trending down, or vice versa. Peer Momentum Heatmap (PMH): Calculates composite momentum scores for up to 6 symbols across 4 timeframes. Each score combines RSI (default: 14 periods) and StochRSI (default: 14 periods, 3-bar smooth) to create a momentum composite between -1 and +1. The highest absolute momentum score across all combinations is displayed in the HUD. Custom settings using Fractal Pivots, Skeleton Structure, Pulse Liquidity Voids, Bottom Colorful HeatMaps, and Iridescent Field. --- Visual Components Spectrum Aura Glow: ATR-weighted bands (default: 0.25x ATR) that expand and contract around price action, indicating volatility conditions. The thickness adapts to market volatility. Chromatic Flow Trail: A blended line combining EMA and WMA of price (default: 8-period EMA blended with WMA at 65% ratio). The trail uses gradient colors that shift based on a phase oscillator, creating an iridescent effect. Volume Heat Projection: Creates horizontal volume profile bands at price levels (default: 14 levels). Scans recent bars (default: 150 bars) to calculate volume concentration. Each level is colored based on its volume density relative to the maximum volume level. Structure Skeleton: Dashed lines connecting fractal pivot points. Uses two layers: a primary line (2-3px width) and an optional glow overlay (4-5px width) for enhanced visibility. Fractal Markers: Diamond shapes placed at pivot high and low points. Color-coded: primary color for highs, secondary color for lows. Iridescent Color Themes: Five color themes available: Iridescent (default), Pearlescent, Prismatic, ColorShift, and Metallic. Colors shift dynamically using a phase oscillator that cycles through the color spectrum based on bar index and a speed multiplier (default: 0.35). --- HUD Console Metrics The right-side HUD displays seven key metrics: Flow: Shows OFI status: ▲ FLOW BUY when normalized OFI exceeds imbalance threshold (default: 2.2), ▼ FLOW SELL when below -2.2, or ◆ FLOW BAL when balanced. Struct: Structure trend bias: ▲ STRUCT BULL when microtrend > 2, ▼ STRUCT BEAR when < -2, or ◆ STRUCT RANGE when neutral. Smart$: Institutional activity: ◈ ACCUM when smart money index = 1, ◈ DISTRIB when = -1, or ○ IDLE when inactive. Liquid: Liquidity state: ⚡ VOID when a liquidity void is detected, or ● NORMAL otherwise. Diverg: Divergence status: ⚠ ALERT when price/volume divergence detected, or ✓ CLEAR when aligned. PMH: Peer Momentum Heatmap status: Shows dominant timeframe and momentum score. Displays 🪩 for bull surge (above 0.55 threshold) or 🧨 for bear surge (below -0.55). FVG: Fair Value Gap status: Shows active gap count or CLEAR when no gaps exist. Displays GAP LONG when bullish gap detected, GAP SHORT when bearish gap detected. Pearlscent Color with Volume Heatmap. Parameters and Settings Microstructure Engine: Analysis Depth: 20-250 bars (default: 55) - Controls OFI smoothing period Liquidity Threshold ATR: 1.0-4.0 (default: 1.7) - Multiplier for void detection Imbalance Ratio: 1.5-6.0 (default: 2.2) - Standard deviations for OFI significance Smart Money Layer: Smart Money Window: 10-150 bars (default: 24) - Period for ROC calculations Accumulation Threshold: 40-95% (default: 65%) - Volume ROC threshold Structural Mapping: Fractal Pivot Period: 3-15 bars (default: 5) - Period for pivot detection Structure Memory: 2-8 levels (default: 4) - Number of structure points to track Volume Heat Projection: Heat Map Lookback: 60-400 bars (default: 150) - Bars to analyze for volume profile Heat Map Levels: 5-30 levels (default: 14) - Number of price level bands Heat Map Opacity: 40-100% (default: 92%) - Transparency of heat map boxes Heat Map Width Limit: 6-80 bars (default: 26) - Maximum width of heat map boxes Heat Map Visibility Threshold: 0.0-0.5 (default: 0.08) - Minimum density to display Iridescent Enhancements: Visual Theme: Iridescent, Pearlescent, Prismatic, ColorShift, or Metallic Color Shift Speed: 0.05-1.00 (default: 0.35) - Speed of color phase oscillation Aura Thickness (ATR): 0.05-1.0 (default: 0.25) - Multiplier for aura band width Chromatic Trail Length: 2-50 bars (default: 8) - Period for trail calculation Trail Blend Ratio: 0.1-0.95 (default: 0.65) - EMA/WMA blend percentage FVG Persistence: 50-600 bars (default: 320) - Bars to keep FVG boxes active Max Active FVG Boxes: 10-200 (default: 40) - Maximum boxes on chart FVG Base Opacity: 20-95% (default: 80%) - Transparency of FVG boxes Peer Momentum Heatmap: Peer Symbols: Comma-separated list of up to 6 symbols (e.g., "BTCUSD,ETHUSD") Peer Timeframes: Comma-separated list of up to 4 timeframes (default: "60,240,D") PMH RSI Length: 5-50 periods (default: 14) PMH StochRSI Length: 5-50 periods (default: 14) PMH StochRSI Smooth: 1-10 periods (default: 3) Super Momentum Threshold: 0.2-0.95 (default: 0.55) - Threshold for surge detection Clarity & Readability: Liquidity Void Opacity: 5-90% (default: 30%) Smart Money Footprint Opacity: 5-90% (default: 35%) HUD Background Opacity: 40-95% (default: 70%) Iridescent Field: Field Opacity: 20-100% (default: 86%) - Background color intensity Field Smooth Length: 10-200 bars (default: 34) - Smoothing for background gradient --- Alerts The indicator provides seven alert conditions: Liquidity Void Detected - Triggers when void conditions are met Strong Order Flow - Triggers when normalized OFI exceeds imbalance ratio Smart Money Activity - Triggers when accumulation or distribution detected Price/Volume Divergence - Triggers when divergence conditions occur Structure Shift - Triggers when structure polarity changes significantly PMH Bull Surge - Triggers when PMH exceeds positive threshold (if enabled) PMH Bear Surge - Triggers when PMH exceeds negative threshold (if enabled) Bull/Bear Prismatic FVG - Triggers when new FVG is detected (if FVG display enabled) --- Usage Considerations Performance may vary on lower timeframes due to the volume heat map calculations scanning multiple bars. Consider reducing heat map lookback or levels if experiencing slowdowns. The PMH feature requires data requests to other symbols/timeframes, which may impact performance. Limit the number of peer symbols and timeframes for optimal performance. FVG boxes automatically expire after the persistence period to prevent chart clutter. The maximum box limit (default: 40) prevents excessive memory usage. Color themes affect all visual elements. Choose a theme that provides good contrast with your chart background. The indicator is designed for overlay display. All visual elements are positioned relative to price action. Structure lines are drawn dynamically as new pivots form. On fast-moving markets, structure may update frequently. Volume calculations assume typical volume data availability. Symbols without volume may show incomplete data for volume-dependent features. --- Technical Notes Built on Pine Script v6 with dynamic request capability for PMH functionality. Uses exponential moving averages (EMA) and weighted moving averages (WMA) for trail calculations to balance responsiveness and smoothness. Volume profile calculation uses price level buckets. Higher levels provide finer granularity but require more computation. Iridescent color engine uses a phase oscillator with sine wave calculations for smooth color transitions. Box management includes automatic cleanup of expired boxes to maintain performance. All visual elements use color gradients and transparency for smooth blending with price action. --- Customization Examples Intraday Scalping Setup: Analysis Depth: 30 bars Heat Map Lookback: 100 bars FVG Persistence: 150 bars PMH Window: 15 bars Fast color shift speed: 0.5+ Macro Structure Tracking: Analysis Depth: 100+ bars Heat Map Lookback: 300+ bars FVG Persistence: 500+ bars Structure Memory: 6-8 levels Slower color shift speed: 0.2 --- Limitations Volume heat map calculations may be computationally intensive on lower timeframes with high lookback values. PMH requires valid symbol names and accessible timeframes. Invalid symbols or timeframes will return no data. FVG detection requires at least 3 bars of history. Early bars may not show FVG boxes. Structure lines connect points but do not predict future structure. They reflect historical pivot relationships. Color themes are aesthetic choices and do not affect calculation logic. The indicator does not provide trading signals. All visual elements are analytical tools that require interpretation in context of market conditions. Open Source This indicator is open source and available for modification and distribution. The code is published with Pine Script v6 compliance. Users are free to customize parameters, modify calculations, and adapt the visual elements to their trading needs. For questions, suggestions, or anything please talk to me in private messages or comments below! Would love to help! - officialjackofalltrades
Indicador Pine Script®
por officialjackofalltrades
1
Institutional VWAP Suite (Lite Compatible)The **Institutional VWAP Suite (Lite Compatible)** brings true institutional volume-weighted price analysis to every trader — even on TradingView Lite/Free accounts where standard VWAP tools are restricted. This script recreates the most important VWAP models used by banks, funds, and high-frequency desks, including: • **Daily VWAP** (exchange-accurate) • **Weekly VWAP** (manually accumulated) • **Monthly VWAP** (manually accumulated) • **Rolling Window VWAP** (array-based, fully Lite-compatible) All calculations avoid blocked functions like `ta.sum` or session-restricted VWAP calls. Everything is built manually from volume and price to ensure accuracy across all accounts and all markets. ### Features • Multi-timeframe VWAPs (Daily/Weekly/Monthly) • Manual Rolling VWAP with adjustable length • Optional VWAP bands (Lite-safe) • Clean visuals with color-coded levels • Optimized arrays for fast, stable performance • Free-tier compatible — no premium functions required This tool is designed for traders who want institutional structure, premium-level VWAP calculations, and consistent execution regardless of plan level. Perfect for scalpers, day traders, futures traders, and anyone who uses intraday volume profiles. ### Recommended Use • Map directional bias using Daily vs Weekly VWAP • Use Monthly VWAP for macro trend context • Track intraday mean reversion with Rolling VWAP • Use VWAP bands as dynamic support/resistance zones A simple, powerful, no-restrictions VWAP engine — built for everyone.
Indicador Pine Script®
por LawlessTrader
Bassi's Consolidation Breakout — ULTIMATE PRO + VPOverview Bassi’s Consolidation Breakout — ULTIMATE PRO + VP is a professional-grade breakout detection system that combines price structure, volume confirmation, volatility compression, and custom volume profile logic. The indicator automatically detects compressed consolidation zones, confirms breakouts with multi-layer filters, and plots full trade setups including: Entry level Stop-loss TP1, TP2, TP3 (R:R based) Trend filters + MTF EMA Retest validation Volume Profile confirmation (POC / VAH / VAL) This is one of the most complete breakout frameworks for TradingView. 🔍 Core Concept The script detects tight consolidation boxes based on: Price range (% compression) Lookback period Minimum required bars Breakout above/below the box Once the consolidation ends, breakout signals fire only if they pass all filters. This focuses your trading on high-probability breakouts only. 🔥 Key Features 1️⃣ Automated Consolidation Box Detection Draws consolidation boxes dynamically Identifies tight range compression Supports advanced range logic for high accuracy 2️⃣ Smart Breakout + Retest Engine Breakouts and breakdowns require: Structure break Minimum breakout expansion (0.15%) Volume confirmation Trend (200 EMA) confirmation Optional retest validation Optional Volume Profile filter Each valid breakout prints a signal + full trade setup. 3️⃣ Custom Volume Profile Engine Fast and lightweight custom-built VP that calculates: POC (Point of Control) VAH (Value Area High) VAL (Value Area Low) These levels can optionally be used to filter weak breakouts. 4️⃣ Multi-Timeframe Trend Filter Uses 200 EMA from any selected higher timeframe Helps avoid counter-trend fakeouts Fully optional 5️⃣ Automatic Trade Setup Projection Each breakout generates: Stop-loss (ATR × multiplier) TP1 (R:R) TP2 (R:R) TP3 (optional) Clean signal labels Only keeps the last 2 signals to maintain clarity 6️⃣ Alerts Included Alerts fire instantly when a valid breakout occurs: “Bassi LONG + VP” “Bassi SHORT + VP” Alerts include ticker + entry price. 📘 Usage Guide & Trading Rules ✔ Recommended Trading Steps 1. Wait for a confirmed consolidation box Box must be narrow Must meet minimum bar requirement 2. Wait for a confirmed breakout signal Signal requires: Breakout above/below box Volume confirmation Trend & MTF confirmation if enabled Optional retest Optional VP filter (close outside VAH/VAL) 3. Follow the projected setup The script prints: Entry SL TP1 / TP2 / TP3 Target lines extend automatically. 📖 How to Use the Script (Trading Rules) 1️⃣ Long Entry Rules Enter Long when: Price breaks above trend confirmation level Momentum signal turns bullish Candle closes above trigger line Volatility filter is satisfied Exit Long: TP1/TP2/TP3 levels Reversal signal Trailing stop hit 2️⃣ Short Entry Rules Enter Short when: Price breaks below trend confirmation level Momentum signal turns bearish Candle closes below trigger line Volatility filter is satisfied Exit Short: TP1/TP2/TP3 levels Trend reversal Trailing stop hit ✔ Recommended Markets Crypto Forex Indices Futures Stocks Works on all timeframes from 1-minute to daily. ✔ Best Practice Avoid taking signals against HTF trend Prefer signals that break away from VAH/VAL Use TP1 to secure partial profits Move SL to breakeven after TP1 if desired Always follow personal risk management 👤 Author Created by: Mahdi Bassi Professional trader & systems designer Focused on structural, volume-based and volatility-based strategies. ⚠️ Disclaimer This script is for educational purposes only. No indicator can guarantee profits. Always use proper risk management and trade responsibly.
Indicador Pine Script®
por Mahdibas
Exponential Action Map (EAM)### **Exponential Action Map (EAM) – Description and Differences from VPVR** The Exponential Action Map (EAM) indicator is a Pine Script-based volume profile indicator that offers **a weighted representation of buying and selling activity**. Unlike the standard **Volume Profile Visible Range (VPVR)**, which simply shows traded volume at various price levels, the EAM provides the following additional features: 1. **Exponential Weighting**: - Instead of treating the volume of all considered bars equally, the EAM uses a **decay factor** to gradually diminish the significance of older data. This allows **more recent price movements to have greater influence**, making it particularly useful for short-term analysis. 2. **Exponential Stealth Move (ESM)**: - In addition to buy and sell volume, the EAM calculates and displays the **Exponential Stealth Move (ESM)**. - This measures the relative price movement compared to volume and highlights areas where **significant price changes occur with low volume**, which may indicate institutional activity or strong momentum. - The ESM visualization is not present in VPVR, making it a distinct and valuable feature. 3. **Visualization Methodology**: - Instead of simple histograms like in VPVR, volume is represented by **dynamic boxes** that encompass Buy (EBA), Sell (ESA), and Stealth Move (ESM) activities. - The size and color of these boxes are **customizable**, allowing for clear differentiation between various volume types. 4. **Flexibility & Configuration**: - Users can adjust parameters such as **Number of Bars, Decay Factor, Bar Width, and Maximum History Data**. - The ability to **toggle historical data visibility** offers a **tailored view** that VPVR does not provide. **Conclusion:** The EAM extends the classic volume profile (VPVR) by introducing **time-weighted volume analysis and detection of Stealth Moves (ESM)**. This not only highlights price levels with high trading volume but also reveals **price movements with low liquidity**, which can potentially indicate institutional interest.
Indicador Pine Script®
por Tires7
8
Multiple AVWAP [OmegaTools]The Multiple AVWAP indicator is a sophisticated trading tool designed for professional traders who require precision in volume-weighted price tracking. This indicator allows for the deployment of multiple Anchored Volume Weighted Average Price (AVWAP) calculations simultaneously, offering deep insights into price movements, dynamic support and resistance levels, and trend structures across multiple timeframes. This indicator caters to both institutional and retail traders by integrating flexible anchoring methods, multi-timeframe adaptability, and enhanced visualization features. It also includes deviation bands for statistical analysis, making it a comprehensive volume-based trading solution. Key Features & Functionalities 1. Multiple AVWAP Configurations Users can configure up to four distinct AVWAP calculations to track different market conditions. Supports various anchoring methods: Fixed: A traditional AVWAP that starts from a defined historical point. Perpetual: A rolling VWAP that continuously adjusts over time. Extension: An extension-based AVWAP that projects from past calculations. High Volume: Anchors AVWAP to the highest volume bar within a specified period. None: Option to disable AVWAP calculation if not required. 2. Advanced Deviation Bands Implements standard deviation bands (1st and 2nd deviation) to provide a statistical measure of price dispersion from the AVWAP. Serves as a dynamic method for identifying overbought and oversold conditions relative to VWAP pricing. Deviation bands are customizable in terms of visibility, color, and transparency. 3. Multi-Timeframe Support Users can assign different timeframes to each AVWAP calculation for macro and micro analysis. Helps in identifying long-term institutional trading levels alongside short-term intraday trends. 4. Z-Score Normalization Mode Option to standardize oscillator values based on AVWAP deviations. Converts price movements into a statistical Z-score, allowing traders to measure price strength in a normalized range. Helps in detecting extreme price dislocations and mean-reversion opportunities. 5. Customizable Visual & Aesthetic Settings Fully customizable line colors, transparency, and thickness to enhance clarity. Users can modify AVWAP and deviation band colors to distinguish between different levels. Configurable display options to match personal trading preferences. 6. Oscillator Mode for Trend & Momentum Analysis The indicator converts price deviations into an oscillator format, displaying AVWAP strength and weakness dynamically. This provides traders with a momentum-based perspective on volume-weighted price movements. User Guide & Implementation 1. Configuring AVWAPs for Optimal Use Choose the mode for each AVWAP instance: Fixed (set historical point) Perpetual (rolling, continuously updated AVWAP) Extension (projection from past AVWAP levels) High Volume (anchored to highest volume bar) None (disables the AVWAP line) Adjust the length settings to fine-tune calculation sensitivity. 2. Utilizing Deviation Bands for Market Context Activate deviation bands to see statistical boundaries of price action. Monitor +1 / -1 and +2 / -2 standard deviation levels for extended price movements. Consider price action outside of deviation bands as potential mean-reversion signals. 3. Multi-Timeframe Analysis for Institutional-Level Insights Assign different timeframes to each AVWAP to compare: Daily VWAP (institutional trading levels) Weekly VWAP (swing trading trends) Intraday VWAPs (short-term momentum shifts) Helps identify where institutional liquidity is positioned relative to price. 4. Activating the Oscillator for Momentum & Bias Confirmation The oscillator converts AVWAP deviations into a normalized value. Use overbought/oversold levels to determine strength and potential reversals. Combine with other indicators (RSI, MACD) for confluence-based trading decisions. Trading Applications & Strategies 5. Trend Confirmation & Institutional VWAP Tracking If price consistently holds above the primary AVWAP, it signals a bullish trend. If price remains below AVWAP, it indicates selling pressure and a bearish trend. Monitor retests of AVWAP levels for potential trend continuation or reversal. 6. Dynamic Support & Resistance Levels AVWAP lines act as dynamic floating support and resistance zones. Price bouncing off AVWAP suggests continuation, whereas breakdowns indicate a shift in momentum. Look for confluence with high-volume zones for stronger trade signals. 7. Mean Reversion & Statistical Edge Trading Prices that deviate beyond +2 or -2 standard deviations often revert toward AVWAP. Mean reversion traders can fade extended moves and target AVWAP re-tests. Helps in identifying exhaustion points in trending markets. 8. Institutional Liquidity & Volume Footprints Institutions often execute large trades near VWAP zones, causing price reactions. Tracking multi-timeframe AVWAP levels allows traders to anticipate key liquidity areas. Use higher timeframe AVWAPs as macro support/resistance for swing trading setups. 9. Enhancing Momentum Trading with AVWAP Oscillator The oscillator provides a momentum-based measure of AVWAP deviations. Helps in confirming entry and exit timing for trend-following trades. Useful for pairing with stochastic oscillators, MACD, or RSI to validate trade decisions. Best Practices & Trading Tips Use in Conjunction with Volume Analysis: Combine with volume profiles, OBV, or CVD for increased accuracy. Adjust Timeframes Based on Trading Style: Scalpers can focus on short-term AVWAP, while swing traders benefit from weekly/daily AVWAP tracking. Backtest Different AVWAP Configurations: Experiment with different anchoring methods and lookback periods to optimize trade performance. Monitor Institutional Order Flow: Identify key VWAP zones where institutional traders may be active. Use with Other Technical Indicators: Enhance trading confidence by integrating with moving averages, Bollinger Bands, or Fibonacci retracements. Final Thoughts & Disclaimer The Multiple AVWAP indicator provides a comprehensive approach to volume-weighted price tracking, making it ideal for professional traders. While this tool enhances market clarity and trade decision-making, it should be used as part of a well-rounded trading strategy with risk management principles in place. This indicator is provided for informational and educational purposes only. Trading involves risk, and past performance is not indicative of future results. Always conduct your own analysis and due diligence before executing trades. OmegaTools - Enhancing Market Clarity with Precision Indicators
Indicador Pine Script®
por OmegaTools
4
Simplified Market ProfileVolume Bins: This script divides the price range into num_bins equal price levels. Each bin holds the cumulative volume for that price range. Profile Length: The number of past bars that the profile considers for building the volume histogram. Bin Size: The price range between bins is determined by dividing the difference between the highest and lowest prices over the specified range. Volume Calculation: The script iterates over each bar within the specified range, determining which price bin the bar’s volume should be added to. Plotting: The script visualizes the volume profile as lines plotted horizontally at different price levels, with thickness proportional to the volume traded at that level.
Indicador Pine Script®
por naveen3153
CVD - Cumulative Volume Delta (Chart)█   OVERVIEW This indicator displays cumulative ​volume delta (​CVD) as an on-chart oscillator. It uses intrabar analysis to obtain more precise ​volume delta information compared to methods that only use the chart's timeframe. The core concepts in this script come from our first ​ CVD indicator , which displays CVD​ values as plot candles in a separate indicator pane. In this script, CV​D values are scaled according to price ranges and represented on the main chart pane. █   CONCEPTS Bar polarity Bar polarity refers to the position of the close price relative to the open price. In other words, bar polarity is the direction of price change. Intrabars Intrabars are chart bars at a lower timeframe than the chart's. Each 1H chart bar of a 24x7 market will, for example, usually contain 60 bars at the lower timeframe of 1min, provided there was market activity during each minute of the hour. Mining information from intrabars can be useful in that it offers traders visibility on the activity inside a chart bar. Lower timeframes (LTFs) A lower timeframe is a timeframe that is smaller than the chart's timeframe. This script utilizes a LTF to analyze intrabars, or price changes within a chart bar. The lower the ​LTF, the more intrabars are analyzed, but the less chart bars can display information due to the limited number of intrabars that can be analyzed. Volume delta Volume delta is a measure that separates ​volume​ into "up" and "down" parts, then takes the difference to estimate the net demand for the asset. This approach gives traders a more detailed insight when analyzing volume​ and market sentiment. There are several methods for determining whether an asset's volume​ belongs in the "up" or "down" category. Some indicators, such as On Balance Volume​ and the Klinger Oscillator , use the change in price between bars to assign ​volume​ values to the appropriate category. Others, such as Chaikin Money Flow , make assumptions based on open, high, low, and close prices. The most accurate method involves using tick data to determine whether each transaction occurred at the bid or ask price and assigning the ​volume​ value to the appropriate category accordingly. However, this method requires a large amount of data on historical bars, which can limit the historical depth of charts and the number of symbols for which tick data is available. In the context where historical tick data is not yet available on TradingView, intrabar analysis is the most precise technique to calculate ​volume delta on historical bars on our charts. This indicator uses intrabar analysis to achieve a compromise between simplicity and accuracy in calculating ​volume delta on historical bars. Our Volume Profile indicators use it as well. Other ​volume delta indicators in our Community Scripts , such as the Realtime 5D Profile , use real-time chart updates to achieve more precise ​volume delta calculations. However, these indicators aren't suitable for analyzing historical bars since they only work for real-time analysis. This is the logic we use to assign intrabar ​volume to the "up" or "down" category:  • If the intrabar's open and close values are different, their relative position is used.  • If the intrabar's open and close values are the same, the difference between the intrabar's close and the previous intrabar's close is used.  • As a last resort, when there is no movement during an intrabar and it closes at the same price as the previous intrabar, the last known polarity is used. Once all intrabars comprising a chart bar are analyzed, we calculate the net difference between "up" and "down" intrabar volume​ to produce the volume​ delta for the chart bar. █   FEATURES CVD resets The "cumulative" part of the indicator's name stems from the fact that calculations accumulate during a period of time. By periodically resetting the volume​ delta accumulation, we can analyze the progression of ​volume delta across manageable chunks, which is often more useful than looking at ​volume delta accumulated from the beginning of a chart's history. You can configure the reset period using the "CVD Resets" input, which offers the following selections:  • None : Calculations do not reset.  • On a fixed higher timeframe : Calculations reset on the higher timeframe you select in the "Fixed higher timeframe" field.  • At a fixed time that you specify.  • At the beginning of the regular session .  • On trend changes : Calculations reset on the direction change of either the Aroon indicator, Parabolic SAR , or Supertrend .  • On a stepped higher timeframe : Calculations reset on a higher timeframe automatically stepped using the chart's timeframe and following these rules: Chart TF ​HTF < 1min 1H < 3H 1D <= 12H 1W < 1W 1M >= 1W 1Y Specifying intrabar precision Ten options are included in the script to control the number of intrabars used per chart bar for calculations. The greater the number of intrabars per chart bar, the fewer chart bars can be analyzed. The first five options allow users to specify the approximate amount of chart bars to be covered:  • Least Precise (Most chart bars) : Covers all chart bars by dividing the current timeframe by four.   This ensures the highest level of intrabar precision while achieving complete coverage for the dataset.  • Less Precise (Some chart bars) & More Precise (Less chart bars) : These options calculate a stepped ​LTF in relation to the current chart's timeframe.  • Very precise (2min intrabars) : Uses the second highest quantity of intrabars possible with the 2min ​LTF.  • Most precise (1min intrabars) : Uses the maximum quantity of intrabars possible with the 1min ​LTF. The stepped lower timeframe for "Less Precise" and "More Precise" options is calculated from the current chart's timeframe as follows: Chart Timeframe Lower Timeframe Less Precise More Precise < 1hr 1min 1min < 1D 15min 1min < 1W ​2hr​ 30min > 1W 1D 60min The last five options allow users to specify an approximate fixed number of intrabars to analyze per chart bar. The available choices are 12, 24, 50, 100, and 250. The script will calculate the LTF​ which most closely approximates the specified number of intrabars per chart bar. Keep in mind that due to factors such as the length of a ticker's sessions and rounding of the LTF​, it is not always possible to produce the exact number specified. However, the script will do its best to get as close to the value as possible. As there is a limit to the number of intrabars that can be analyzed by a script, a tradeoff occurs between the number of intrabars analyzed per chart bar and the chart bars for which calculations are possible. Display This script displays raw or cumulative volume​ delta values on the chart as either line or histogram oscillator zones scaled according to the price chart, allowing traders to visualize volume​ activity on each bar or cumulatively over time. The indicator's background shows where CVD​ resets occur, demarcating the beginning of new zones. The vertical axis of each oscillator zone is scaled relative to the one with the highest price range, and the oscillator values are scaled relative to the highest volume​ delta. A vertical offset is applied to each oscillator zone so that the highest oscillator value aligns with the lowest price. This method ensures an accurate, intuitive visual comparison of volume​ activity within zones, as the scale is consistent across the chart, and oscillator values sit below prices. The vertical scale of oscillator zones can be adjusted using the "Zone Height" input in the script settings. This script displays labels at the highest and lowest oscillator values in each zone, which can be enabled using the "Hi/Lo Labels" input in the "Visuals" section of the script settings. Additionally, the oscillator's value on a chart bar is displayed as a tooltip when a user hovers over the bar, which can be enabled using the "Value Tooltips" input. Divergences occur when the polarity of ​volume delta does not match that of the chart bar. The script displays divergences as bar colors and background colors that can be enabled using the "Color bars on divergences" and "Color background on divergences" inputs. An information box in the lower-left corner of the indicator displays the HTF used for resets, the ​LTF used for intrabars, the average quantity of intrabars per chart bar, and the number of chart bars for which there is LTF data. This is enabled using the "Show information box" input in the "Visuals" section of the script settings. FOR Pine Script™ CODERS  • This script utilizes `ltf()` and `ltfStats()` from the lower_tf library.   The `ltf()` function determines the appropriate lower timeframe from the selected calculation mode and chart timeframe, and returns it in a format that can be used with request.security_lower_tf() .   The `ltfStats()` function, on the other hand, is used to compute and display statistical information about the lower timeframe in an information box.  • The script utilizes display.data_window and display.status_line to restrict the display of certain plots.   These new built-ins allow coders to fine-tune where a script’s plot values are displayed.  • The newly added session.isfirstbar_regular built-in allows for resetting the ​CVD segments at the start of the regular session.  • The VisibleChart library developed by our resident PineCoders team leverages the chart.left_visible_bar_time and chart.right_visible_bar_time variables to optimize the performance of this script.   These variables identify the opening time of the leftmost and rightmost visible bars on the chart, allowing the script to recalculate and draw objects only within the range of visible bars as the user scrolls.   This functionality also enables the scaling of the oscillator zones.   These variables are just a couple of the many new built-ins available in the chart.* namespace.   For more information, check out this blog post or look them up by typing "chart." in the Pine Script™ Reference Manual .  • Our ta library has undergone significant updates recently, including the incorporation of the `aroon()` indicator used as a method for resetting ​CVD segments within this script.   Revisit the library to see more of the newly added content! Look first. Then leap.
Indicador Pine Script®
por TradingView
58
Delta Volume Channels [LucF]█  OVERVIEW This indicator displays on-chart visuals aimed at making the most of delta ​volume information. It can color bars and display two channels: one for delta ​volume, another calculated from the price levels of bars where delta ​volume divergences occur. Markers and alerts can also be configured using key conditions, and filtered in many different ways. The indicator caters to traders who prefer chart visuals over raw values. It will work on historical bars and in real time, using intrabar analysis to calculate delta ​volume in both conditions. █  CONCEPTS Delta Volume ​The ​volume delta concept divides a bar's ​volume in "up" and "down" ​volumes. The delta is calculated by subtracting down ​volume from up ​volume. Many calculation techniques exist to isolate up and down ​volume within a bar. The simplest techniques use the polarity of interbar price changes to assign their ​volume to up or down slots, e.g., On Balance Volume or the Klinger Oscillator . Others such as Chaikin Money Flow use assumptions based on a bar's OHLC values. The most precise calculation method uses tick data and assigns the ​volume of each tick to the up or down slot depending on whether the transaction occurs at the bid or ask price. While this technique is ideal, it requires huge amounts of data on historical bars, which usually limits the historical depth of charts and the number of symbols for which tick data is available. This indicator uses intrabar analysis to achieve a compromise between the simplest and most precise methods of calculating ​volume delta. In the context where historical tick data is not yet available on TradingView, intrabar analysis is the most precise technique to calculate ​volume delta on historical bars on our charts. TradingView's Volume Profile built-in indicators use it, as do the CVD - Cumulative ​Volume Delta Candles and CVD - Cumulative Volume Delta (Chart) indicators published from the TradingView account . My Volume Delta Columns Pro indicator also uses intrabar analysis. Other ​volume delta indicators such as my Realtime 5D Profile use realtime chart updates to achieve more precise ​volume delta calculations. Indicators of that type cannot be used on historical bars however; they only work in real time. This is the logic I use to assign intrabar ​volume to up or down slots:  • If the intrabar's open and close values are different, their relative position is used.  • If the intrabar's open and close values are the same, the difference between the intrabar's close and the previous intrabar's close is used.  • As a last resort, when there is no movement during an intrabar and it closes at the same price as the previous intrabar, the last known polarity is used. Once all intrabars making up a chart bar have been analyzed and the up or down property of each intrabar's ​volume determined, the up volumes are added and the down volumes subtracted. The resulting value is ​volume delta for that chart bar, which can be used as an estimate of the buying/selling pressure on an instrument. Delta ​Volume Percent (DV%) This value is the proportion that delta ​volume represents of the total intrabar ​volume in the chart bar. Note that on some symbols/timeframes, the total intrabar ​volume may differ from the chart's ​volume for a bar, but that will not affect our calculations since we use the total intrabar ​volume. Delta ​Volume Channel The ​​DV channel is the space between two moving averages: the reference line and a DV%-weighted version of that reference. The reference line is a moving average of a type, source and length which you select. The DV%-weighted line uses the same settings, but it averages the DV%-weighted price source. The weight applied to the source of the reference line is calculated from two values, which are multiplied: DV% and the relative size of the bar's ​volume in relation to previous bars. The effect of this is that DV% values on bars with higher total ​volume will carry greater weight than those with lesser ​volume. The ​DV channel can be in one of four states, each having its corresponding color:  • Bull (teal): The DV%-weighted line is above the reference line.  • Strong bull (lime): The bull condition is fulfilled and the bar's close is above the reference line and both the reference and the DV%-weighted lines are rising.  • Bear (maroon): The DV%-weighted line is below the reference line.  • Strong bear (pink): The bear condition is fulfilled and the bar's close is below the reference line and both the reference and the DV%-weighted lines are falling. Divergences In the context of this indicator, a divergence is any bar where the slope of the reference line does not match that of the DV%-weighted line. No directional bias is assigned to divergences when they occur. Divergence Channel The divergence channel is the space between two levels (by default, the bar's low and high ) saved when divergences occur. When price has breached a channel and a new divergence occurs, a new channel is created. Until that new channel is breached, bars where additional divergences occur will expand the channel's levels if the bar's price points are outside the channel. Prices breaches of the divergence channel will change its state. Divergence channels can be in one of five different states:  • Bull (teal): Price has breached the channel to the upside.  • Strong bull (lime): The bull condition is fulfilled and the ​DV channel is in the strong bull state.  • Bear (maroon): Price has breached the channel to the downside.  • Strong bear (pink): The bear condition is fulfilled and the ​DV channel is in the strong bear state.  • Neutral (gray): The channel has not been breached. █  HOW TO USE THE INDICATOR Load the indicator on an active chart (see here if you don't know how). The default configuration displays:  • The ​DV channel, without the reference or DV%-weighted lines.  • The Divergence channel, without its level lines.  • Bar colors using the state of the ​DV channel. The default settings use an Arnaud-Legoux moving average on the close and a length of 20 bars. The DV%-weighted version of it uses a combination of DV% and relative ​volume to calculate the ultimate weight applied to the reference. The DV%-weighted line is capped to 5 standard deviations of the reference. The lower timeframe used to access intrabars automatically adjusts to the chart's timeframe and achieves optimal balance between the number of intrabars inspected in each chart bar, and the number of chart bars covered by the script's calculations. The Divergence channel's levels are determined using the high and low of the bars where divergences occur. Breaches of the channel require a bar's low to move above the top of the channel, and the bar's high to move below the channel's bottom. No markers appear on the chart; if you want to create alerts from this script, you will need first to define the conditions that will trigger the markers, then create the alert, which will trigger on those same conditions. To learn more about how to use this indicator, you must understand the concepts it uses and the information it displays, which requires reading this description. There are no videos to explain it. █  FEATURES The script's inputs are divided in four sections: "DV channel", "Divergence channel", "Other Visuals" and "Marker/Alert Conditions". The first setting is the selection method used to determine the intrabar precision, i.e., how many lower timeframe bars (intrabars) are examined in each chart bar. The more intrabars you analyze, the more precise the calculation of DV% results will be, but the less chart coverage can be covered by the script's calculations. DV Channel Here, you control the visibility and colors of the reference line, its weighted version, and the DV channel between them. You also specify what type of moving average you want to use as a reference line, its source and length. This acts as the ​DV channel's baseline. The DV%-weighted line is also a moving average of the same type and length as the reference line, except that it will be calculated from the DV%-weighted source used in the reference line. By default, the DV%-weighted line is capped to five standard deviations of the reference line. You can change that value here. This section is also where you can disable the relative ​volume component of the weight. Divergence Channel This is where you control the appearance of the divergence channel and the key price values used in determining the channel's levels and breaching conditions. These choices have an impact on the behavior of the channel. More generous level prices like the default low and high selection will produce more conservative channels, as will the default choice for breach prices. In this section, you can also enable a mode where an attempt is made to estimate the channel's bias before price breaches the channel. When it is enabled, successive increases/decreases of the channel's top and bottom levels are counted as new divergences occur. When one count is greater than the other, a bull/bear bias is inferred from it. Other Visuals You specify here:  • The method used to color chart bars, if you choose to do so.  • The display of a mark appearing above or below bars when a divergence occurs.  • If you want raw values to appear in tooltips when you hover above chart bars. The default setting does not display them, which makes the script faster.  • If you want to display an information box which by default appears in the lower left of the chart.   It shows which lower timeframe is used for intrabars, and the average number of intrabars per chart bar. Marker/Alert Conditions Here, you specify the conditions that will trigger up or down markers. The trigger conditions can include a combination of state transitions of the ​DV and the divergence channels. The triggering conditions can be filtered using a variety of conditions. Configuring the marker conditions is necessary before creating an alert from this script, as the alert will use the marker conditions to trigger. Markers only appear on bar closes, so they will not repaint. Keep in mind, when looking at markers on historical bars, that they are positioned on the bar when it closes — NOT when it opens. Raw values The raw values calculated by this script can be inspected using a tooltip and the Data Window. The tooltip is visible when you hover over the top of chart bars. It will display on the last 500 bars of the chart, and shows the values of ​DV, DV%, the combined weight, and the intermediary values used to calculate them. █  INTERPRETATION The aim of the ​DV channel is to provide a visual representation of the buying/selling pressure calculated using delta ​volume. The simplest characteristic of the channel is its bull/bear state. One can then distinguish between its bull and strong bull states, as transitions from strong bull to bull states will generally happen when buyers are losing steam. While one should not infer a reversal from such transitions, they can be a good place to tighten stops. Only time will tell if a reversal will occur. One or more divergences will often occur before reversals. The nature of the divergence channel's design makes it particularly adept at identifying consolidation areas if its settings are kept on the conservative side. A gray divergence channel should usually be considered a no-trade zone. More adventurous traders can use the ​DV channel to orient their trade entries if they accept the risk of trading in a neutral divergence channel, which by definition will not have been breached by price. If your charts are already busy with other stuff you want to hold on to, you could consider using only the chart bar coloring component of this indicator: At its simplest, one way to use this indicator would be to look for overlaps of the strong bull/bear colors in both the ​DV channel and a divergence channel, as these identify points where price is breaching the divergence channel when buy/sell pressure is consistent with the direction of the breach. I have highlighted all those points in the chart below. Not all of them would have produced profitable trades, but nothing is perfect in the markets. Also, keep in mind that the circles identify the visual you would be looking for — not the trade's entry level. █  LIMITATIONS  • The script will not work on symbols where no ​volume is available. An error will appear when that is the case.  • Because a maximum of 100K intrabars can be analyzed by a script, a compromise is necessary between the number of intrabars analyzed per chart bar   and chart coverage. The more intrabars you analyze per chart bar, the less coverage you will obtain.   The setting of the "Intrabar precision" field in the "DV channel" section of the script's inputs   is where you control how the lower timeframe is calculated from the chart's timeframe. █  NOTES Volume Quality If you use ​volume, it's important to understand its nature and quality, as it varies with sectors and instruments. My Volume X-ray indicator is one way you can appraise the quality of an instrument's intraday ​volume. For Pine Script™ Coders  • This script uses the new overload of the fill() function which now makes it possible to do vertical gradients in Pine. I use it for both channels displayed by this script.  • I use the new arguments for plot() 's `display` parameter to control where the script plots some of its values,   namely those I only want to appear in the script's status line and in the Data Window.  • I wrote my script using the revised recommendations in the Style Guide from the Pine v5 User Manual. █  THANKS To PineCoders . I have used their lower_tf library in this script, to manage the calculation of the LTF and intrabar stats, and their Time library to convert a timeframe in seconds to a printable form for its display in the Information box. To TradingView's Pine Script™ team. Their innovations and improvements, big and small, constantly expand the boundaries of the language. What this script does would not have been possible just a few months back. And finally, thanks to all the users of my scripts who take the time to comment on my publications and suggest improvements. I do not reply to all but I do read your comments and do my best to implement your suggestions with the limited time that I have.
Indicador Pine Script®
por LucF
51
CVD - Cumulative Volume Delta Candles█   OVERVIEW This indicator displays cumulative ​volume delta in candle form. It uses intrabar information to obtain more precise ​volume delta information than methods using only the chart's timeframe. █   CONCEPTS Bar polarity By bar polarity , we mean the direction of a bar, which is determined by looking at the bar's close vs its open . Intrabars Intrabars are chart bars at a lower timeframe than the chart's. Each 1H chart bar of a 24x7 market will, for example, usually contain 60 bars at the lower timeframe of 1min, provided there was market activity during each minute of the hour. Mining information from intrabars can be useful in that it offers traders visibility on the activity inside a chart bar. Lower timeframes (LTFs) A lower timeframe is a timeframe that is smaller than the chart's timeframe. This script uses a ​LTF to access intrabars. The lower the ​LTF, the more intrabars are analyzed, but the less chart bars can display ​CVD information because there is a limit to the total number of intrabars that can be analyzed. Volume delta The ​volume delta concept divides a bar's ​volume in "up" and "down" ​volumes. The delta is calculated by subtracting down ​volume from up ​volume. Many calculation techniques exist to isolate up and down ​volume within a bar. The simplest techniques use the polarity of interbar price changes to assign their ​volume to up or down slots, e.g., On Balance Volume or the Klinger Oscillator . Others such as Chaikin Money Flow use assumptions based on a bar's OHLC values. The most precise calculation method uses tick data and assigns the ​volume of each tick to the up or down slot depending on whether the transaction occurs at the bid or ask price. While this technique is ideal, it requires huge amounts of data on historical bars, which usually limits the historical depth of charts and the number of symbols for which tick data is available. This indicator uses intrabar analysis to achieve a compromise between the simplest and most precise methods of calculating ​volume delta. In the context where historical tick data is not yet available on TradingView, intrabar analysis is the most precise technique to calculate ​volume delta on historical bars on our charts. Our Volume Profile indicators use it. Other ​volume delta indicators in our Community Scripts such as the Realtime 5D Profile use realtime chart updates to achieve more precise ​volume delta calculations, but that method cannot be used on historical bars, so those indicators only work in real time. This is the logic we use to assign intrabar ​volume to up or down slots:  • If the intrabar's open and close values are different, their relative position is used.  • If the intrabar's open and close values are the same, the difference between the intrabar's close and the previous intrabar's close is used.  • As a last resort, when there is no movement during an intrabar and it closes at the same price as the previous intrabar, the last known polarity is used. Once all intrabars making up a chart bar have been analyzed and the up or down property of each intrabar's ​volume determined, the up volumes are added and the down volumes subtracted. The resulting value is ​volume delta for that chart bar. █   FEATURES CVD Candles Cumulative ​Volume Delta Candles present ​volume delta information as it evolves during a period of time. This is how each candle's levels are calculated:  • open : Each candle's' open level is the cumulative ​volume delta for the current period at the start of the bar.   This value becomes zero on the first candle following a ​CVD reset.   The candles after the first one always open where the previous candle closed.   The candle's high, low and close levels are then calculated by adding or subtracting a ​volume value to the open.  • high : The highest ​​volume delta value found in intrabars. If it is not higher than the ​volume delta for the bar, then that candle will have no upper wick.  • low : The lowest ​​volume delta value found in intrabars. If it is not lower than the ​volume delta for the bar, then that candle will have no lower wick.  • close : The aggregated ​volume delta for all intrabars. If ​volume delta is positive for the chart bar, then the candle's close will be higher than its open, and vice versa. The candles are plotted in one of two configurable colors, depending on the polarity of ​volume delta for the bar. CVD resets The "cumulative" part of the indicator's name stems from the fact that calculations accumulate during a period of time. This allows you to analyze the progression of ​volume delta across manageable chunks, which is often more useful than looking at ​volume delta cumulated from the beginning of a chart's history. You can configure the reset period using the "CVD Resets" input, which offers the following selections:  • None : Calculations do not reset.  • On a fixed higher timeframe : Calculations reset on the higher timeframe you select in the "Fixed higher timeframe" field.  • At a fixed time that you specify.  • At the beginning of the regular session .  • On a stepped higher timeframe : Calculations reset on a higher timeframe automatically stepped using the chart's timeframe and following these rules: Chart TF ​HTF < 1min 1H < 3H 1D <= 12H 1W < 1W 1M >= 1W 1Y The indicator's background shows where resets occur. Intrabar precision The precision of calculations increases with the number of intrabars analyzed for each chart bar. It is controlled through the script's "Intrabar precision" input, which offers the following selections:  • Least precise, covering many chart bars  • Less precise, covering some chart bars  • More precise, covering less chart bars  • Most precise, 1min intrabars As there is a limit to the number of intrabars that can be analyzed by a script, a tradeoff occurs between the number of intrabars analyzed per chart bar and the chart bars for which calculations are possible. Total ​volume candles You can choose to display candles showing the total intrabar ​volume for the chart bar. This provides you with more context to evaluate a bar's ​volume delta by showing it relative to the sum of intrabar ​volume. Note that because of the reasons explained in the "NOTES" section further down, the total ​volume is the sum of all intrabar ​​volume rather than the ​volume of the bar at the chart's timeframe. Total ​volume candles can be configured with their own up and down colors. You can also control the opacity of their bodies to make them more or less prominent. This publication's chart shows the indicator with total ​volume candles. They are turned off by default, so you will need to choose to display them in the script's inputs for them to plot. Divergences Divergences occur when the polarity of ​volume delta does not match that of the chart bar. You can identify divergences by coloring the ​CVD candles differently for them, or by coloring the indicator's background. Information box An information box in the lower-left corner of the indicator displays the HTF used for resets, the ​LTF used for intrabars, and the average quantity of intrabars per chart bar. You can hide the box using the script's inputs. █   INTERPRETATION The first thing to look at when analyzing ​CVD candles is the side of the zero line they are on, as this tells you if ​CVD is generally ​bullish or ​bearish. Next, one should consider the relative position of successive candles, just as you would with a price chart. Are successive candles trending up, down, or stagnating? Keep in mind that whatever trend you identify must be considered in the context of where it appears with regards to the zero line; an uptrend in a negative ​CVD (below the zero line) may not be as powerful as one taking place in positive ​CVD values, but it may also predate a movement into positive ​CVD territory. The same goes with stagnation; a trader in a long position will find stagnation in positive ​CVD territory less worrisome than stagnation under the zero line. After consideration of the bigger picture, one can drill down into the details. Exactly what you are looking for in markets will, of course, depend on your trading methodology, but you may find it useful to:   • Evaluate ​volume delta for the bar in relation to price movement for that bar.   • Evaluate the proportion that ​​volume delta represents of total ​volume.   • Notice divergences and if the chart's candle shape confirms a hesitation point, as a Doji would.   • Evaluate if the progress of ​CVD candles correlates with that of chart bars.   • Analyze the wicks. As with price candles, long wicks tend to indicate weakness. Always keep in mind that unless you have chosen not to reset it, your ​CVD resets for each period, whether it is fixed or automatically stepped. Consequently, any trend from the preceding period must re-establish itself in the next. █   NOTES Know your volume Traders using ​volume information should understand the ​volume data they are using: where it originates and what transactions it includes, as this can vary with instruments, sectors, exchanges, timeframes, and between historical and realtime bars. The information used to build a chart's bars and display ​volume comes from data providers (exchanges, brokers, etc.) who often maintain distinct feeds for intraday and ​end-of-day (​EOD) timeframes. How ​volume data is assembled for the two feeds depends on how instruments are traded in that sector and/or the ​volume reporting policy for each feed. Instruments from crypto and forex markets, for example, will often display similar ​volume on both feeds. Stocks will often display variations because block trades or other types of trades may not be included in their intraday ​volume data. ​Futures will also typically display variations. Note that as intraday vs ​EOD variations exist for historical bars on some instruments, differences may also exist between the realtime feeds used on intraday vs 1D or greater timeframes for those same assets. Realtime reporting rules will often be different from historical feed reporting rules, so variations between realtime feeds will often be different from the variations between historical feeds for the same instrument. The Volume X-ray indicator can help you analyze differences between intraday and ​EOD ​volumes for the instruments you trade. If every unit of ​volume is both bought by a buyer and sold by a seller, how can ​volume delta make sense? Traders who do not understand the mechanics of matching engines (the exchange software that matches orders from buyers and sellers) sometimes argue that the concept of ​volume delta is flawed, as every unit of ​volume is both bought and sold. While they are rigorously correct in stating that every unit of ​volume is both bought and sold, they overlook the fact that information can be mined by analyzing variations in the price of successive ticks, or in our case, intrabars. Our calculations model the situation where, in fully automated order handling, market orders are generally matched to limit orders sitting in the order book. Buy market orders are matched to quotes at the ask level and sell market orders are matched to quotes at the bid level. As explained earlier, we use the same logic when comparing intrabar prices. While using intrabar analysis does not produce results as precise as when individual transactions — or ticks — are analyzed, results are much more precise than those of methods using only chart prices. Not only does the concept underlying ​volume delta make sense, it provides a window on an oft-overlooked variable which, with price and time, is the only basic information representing market activity. Furthermore, because the calculation of ​volume delta also uses price and time variations, one could conceivably surmise that it can provide a more complete model than ones using price and time only. Whether or not ​volume delta can be useful in your trading practice, as usual, is for you to decide, as each trader's methodology is different. For Pine Script™ coders As our latest Polarity Divergences publication, this script uses the recently released request.security_lower_tf() Pine Script™ function discussed in this blog post . It works differently from the usual request.security() in that it can only be used at LTFs, and it returns an array containing one value per intrabar. This makes it much easier for programmers to access intrabar information. Look first. Then leap.
Indicador Pine Script®
por TradingView
234
Market Profile Fixed ViewSome instruments does not provide any volume information, therefore, as a fixed volume profile user, I needed a fixed market profile indicator to use the same principles, regardless of whether the volumes are available or not. This script draws a market profile histogram corresponding to price variations within a specific duration, you only need to specify Start and End date/time values to see the histogram on your chart. Details Two lines corresponding to highest/lowest prices are displayed around the histogram The redline corresponds to the POC (point of control) Options Start calculation End calculation Bars number (histogram resolution, currently locked to a max value of 50 bars) Display side/Width (allows to modify size of bars, to the left or to the right) Bars/Borders/POC Color customization Notes This script will probably be updated (to add VAH/VAL zones, and maybe other options). However, some common market profile attributes have not been implemented yet since I don't really use them)
Indicador Pine Script®
por noop-noop
71
Delta Volume Columns Pro [LucF]█  OVERVIEW This indicator displays volume​​ delta information calculated with intrabar inspection on historical bars, and feed updates when running in realtime. It is designed to run in a pane and can display either stacked buy/sell volume​ columns or a signal line which can be calculated and displayed in many different ways. Five different models are offered to reveal different characteristics of the calculated volume​ delta information. Many options are offered to visualize the calculations, giving you much leeway in morphing the indicator's visuals to suit your needs. If you value delta volume​ information, I hope you will find the time required to master Delta Volume​ Columns Pro well worth the investment. I am confident that if you combine a proper understanding of the indicator's information with an intimate knowledge of the volume​ idiosyncrasies on the markets you trade, you can extract useful market intelligence using this tool. █  WARNINGS 1. The indicator only works on markets where volume​ information is available,   Please validate that your symbol's feed carries volume​ information before asking me why the indicator doesn't plot values. 2. When you refresh your chart or re-execute the script on the chart, the indicator will repaint because elapsed realtime bars will then recalculate as historical bars. 3. Because the indicator uses different modes of calculation on historical and realtime bars, it's critical that you understand the differences between them. Details are provided further down. 4. Calculations using intrabar inspection on historical bars can only be done from some chart timeframes. See further down for a list of supported timeframes.   If the chart's timeframe is not supported, no historical volume​ delta will display. █  CONCEPTS Chart bars Three different types of bars are used in charts:  1. Historical bars are bars that have already closed when the script executes on them.  2. The realtime bar is the current, incomplete bar where a script is running on an open market. There is only one active realtime bar on your chart at any given time.    The realtime bar is where alerts trigger.  3. Elapsed realtime bars are bars that were calculated when they were realtime bars but have since closed.    When a script re-executes on a chart because the browser tab is refreshed or some of its inputs are changed, elapsed realtime bars are recalculated as historical bars. Why does this indicator use two modes of calculation? Historical bars on TradingView charts contain OHLCV data only, which is insufficient to calculate volume​ delta on them with any level of precision. To mine more detailed information from those bars we look at intrabars , i.e., bars from a smaller timeframe (we call it the intrabar timeframe ) that are contained in one chart bar. If your chart Is running at 1D on a 24x7 market for example, most 1D chart bars will contain 24 underlying 1H bars in their dilation. On historical bars, this indicator looks at those intrabars to amass volume​ delta information. If the intrabar is up, its volume​ goes in the Buy bin, and inversely for the Sell bin. When price does not move on an intrabar, the polarity of the last known movement is used to determine in which bin its volume​ goes. In realtime, we have access to price and volume​ change for each update of the chart. Because a 1D chart bar can be updated tens of thousands of times during the day, volume​ delta calculations on those updates is much more precise. This precision, however, comes at a price:  — The script must be running on the chart for it to keep calculating in realtime.  — If you refresh your chart you will lose all accumulated realtime calculations on elapsed realtime bars, and the realtime bar.   Elapsed realtime bars will recalculate as historical bars, i.e., using intrabar inspection, and the realtime bar's calculations will reset.   When the script recalculates elapsed realtime bars as historical bars, the values on those bars will change, which means the script repaints in those conditions.  — When the indicator first calculates on a chart containing an incomplete realtime bar, it will count ALL the existing volume​ on the bar as Buy or Sell volume​,   depending on the polarity of the bar at that point. This will skew calculations for that first bar. Scripts have no access to the history of a realtime bar's previous updates,   and intrabar inspection cannot be used on realtime bars, so this is the only to go about this.  — Even if alerts only trigger upon confirmation of their conditions after the realtime bar closes, they are repainting alerts   because they would perhaps not have calculated the same way using intrabar inspection.  — On markets like stocks that often have different EOD​ and intraday feeds and volume​ information,   the volume's scale may not be the same for the realtime bar if your chart is at 1D, for example,   and the indicator is using an intraday timeframe to calculate on historical bars.  — Any chart timeframe can be used in realtime mode, but plots that include moving averages in their calculations may require many elapsed realtime bars before they can calculate.   You might prefer drastically reducing the periods of the moving averages, or using the volume​ columns mode, which displays instant values, instead of the line. Volume Delta Balances This indicator uses a variety of methods to evaluate five volume​ delta balances and derive other values from those balances. The five balances are: 1 — On Bar Balance : This is the only balance using instant values; it is simply the subtraction of the Sell volume​ from the Buy volume​ on the bar. 2 — Average Balance : Calculates a distinct EMA for both the Buy and Sell volumes, and subtracts the Sell EMA from the Buy EMA. 3 — Momentum Balance : Starts by calculating, separately for both Buy and Sell volumes, the difference between the same EMAs used in "Average Balance" and   an SMA of double the period used for the "Average Balance" EMAs. The difference for the Sell side is subtracted from the difference for the Buy side,   and an RSI of that value is calculated and brought over the −50/+50 scale. 4 — Relative Balance : The reference values used in the calculation are the Buy and Sell EMAs used in the "Average Balance".   From those, we calculate two intermediate values using how much the instant Buy and Sell volumes on the bar exceed their respective EMA — but with a twist.   If the bar's Buy volume​ does not exceed the EMA of Buy volume​, a zero value is used. The same goes for the Sell volume​ with the EMA of Sell volume​.   Once we have our two intermediate values for the Buy and Sell volumes exceeding their respective MA, we subtract them. The final "Relative Balance" value is an ALMA of that subtraction.   The rationale behind using zero values when the bar's Buy/Sell volume​ does not exceed its EMA is to only take into account the more significant volume​.   If both instant volume​ values exceed their MA, then the difference between the two is the signal's value.   The signal is called "relative" because the intermediate values are the difference between the instant Buy/Sell volumes and their respective MA.   This balance flatlines when the bar's Buy/Sell volumes do not exceed their EMAs, which makes it useful to spot areas where trader interest dwindles, such as consolidations.   The smaller the period of the final value's ALMA, the more easily you will see the balance flatline. These flat zones should be considered no-trade zones. 5 — Percent Balance : This balance is the ALMA of the ratio of the "On Bar Balance" value, i.e., the volume​ delta balance on the bar (which can be positive or negative),   over the total volume for that bar. From the balances and marker conditions, two more values are calculated: 1 — Marker Bias : It sums the up/down (+1/‒1) occurrences of the markers 1 to 4 over a period you define, so it ranges from −4 to +4, times the period.   Its calculation will depend on the modes used to calculate markers 3 and 4. 2 — Combined Balances : This is the sum of the bull/bear (+1/−1) states of each of the five balances, so it ranges from −5 to +5. █  FEATURES The indicator has two main modes of operation: Columns and Line . Columns • In Columns mode you can display stacked Buy/Sell volume​ columns. • The buy section always appears above the centerline, the sell section below. • The top and bottom sections can be colored independently using eight different methods. • The EMAs of the Buy/Sell values can be displayed (these are the same EMAs used to calculate the "Average Balance"). Line • Displays one of seven signals: the five balances or one of two complementary values, i.e., the "Marker Bias" or the "Combined Balances". • You can color the line and its fill using independent calculation modes to pack more information in the display.  You can thus appraise the state of 3 different values using the line itself, its color and the color of its fill. • A "Divergence Levels" feature will use the line to automatically draw expanding levels on divergence events. Default settings Using the indicator's default settings, this is the information displayed: • The line is calculated on the "Average Balance". • The line's color is determined by the bull/bear state of the "Percent Balance". • The line's fill gradient is determined by the advances/declines of the "Momentum Balance". • The orange divergence dots are calculated using discrepancies between the polarity of the "On Bar Balance" and the chart's bar. • The divergence levels are determined using the line's level when a divergence occurs. • The background's fill gradient is calculated on advances/declines of the "Marker Bias". • The chart bars are colored using advances/declines of the "Relative Balance". Divergences are shown in orange. • The intrabar timeframe is automatically determined from the chart's timeframe so that a minimum of 50 intrabars are used to calculate volume​ delta on historical bars. Alerts The configuration of the marker conditions explained further is what determines the conditions that will trigger alerts created from this script. Note that simply selecting the display of markers does not create alerts. To create an alert on this script, you must use ALT-A from the chart. You can create multiple alerts triggering on different conditions from this same script; simply configure the markers so they define the trigger conditions for each alert before creating the alert. The configuration of the script's inputs is saved with the alert, so from then on you can change them without affecting the alert. Alert messages will mention the marker(s) that triggered the specific alert event. Keep in mind, when creating alerts on small chart timeframes, that discrepancies between alert triggers and markers displayed on your chart are to be expected. This is because the alert and your chart are running two distinct instances of the indicator on different servers and different feeds. Also keep in mind that while alerts only trigger on confirmed conditions, they are calculated using realtime calculation mode, which entails that if you refresh your chart and elapsed realtime bars recalculate as historical bars using intrabar inspection, markers will not appear in the same places they appeared in realtime. So it's important to understand that even though the alert conditions are confirmed when they trigger, these alerts will repaint. Let's go through the sections of the script's inputs. Columns The size of the Buy/Sell columns always represents their respective importance on the bar, but the coloring mode for tops and bottoms is independent. The default setup uses a standard coloring mode where the Buy/Sell columns are always in the bull/bear color with a higher intensity for the winning side. Seven other coloring modes allow you to pack more information in the columns. When choosing to color the top columns using a bull/bear gradient on "Average Balance", for example, you will have bull/bear colored tops. In order for the color of the bottom columns to continue to show the instant bar balance, you can then choose the "On Bar Balance — Dual Solid Colors" coloring mode to make those bars the color of the winning side for that bar. You can display the averages of the Buy and Sell columns. If you do, its coloring is controlled through the "Line" and "Line fill" sections below. Line and Line fill You can select the calculation mode and the thickness of the line, and independent calculations to determine the line's color and fill. Zero Line The zero line can display dots when all five balances are bull/bear. Divergences You first select the detection mode. Divergences occur whenever the up/down direction of the signal does not match the up/down polarity of the bar. Divergences are used in three components of the indicator's visuals: the orange dot, colored chart bars, and to calculate the divergence levels on the line. The divergence levels are dynamic levels that automatically build from the line's values on divergence events. On consecutive divergences, the levels will expand, creating a channel. This implementation of the divergence levels corresponds to my view that divergences indicate anomalies, hesitations, points of uncertainty if you will. It precludes any attempt to identify a directional bias to divergences. Accordingly, the levels merely take note of divergence events and mark those points in time with levels. Traders then have a reference point from which they can evaluate further movement. The bull/bear/neutral colors used to plot the levels are also congruent with this view in that they are determined by the line's position relative to the levels, which is how I think divergences can be put to the most effective use. One of the coloring modes for the line's fill uses advances/declines in the line after divergence events. Background The background can show a bull/bear gradient on six different calculations. As with other gradients, you can adjust its brightness to make its importance proportional to how you use it in your analysis. Chart bars Chart bars can be colored using seven different methods. You have the option of emptying the body of bars where volume​ does not increase, as does my TLD indicator, and you can choose whether you want to show divergences. Intrabar Timeframe This is the intrabar timeframe that will be used to calculate volume​ delta using intrabar inspection on historical bars. You can choose between four modes. The three "Auto-steps" modes calculate, from the chart's timeframe, the intrabar timeframe where the said number of intrabars will make up the dilation of chart bars. Adjustments are made for non-24x7 markets. "Fixed" mode allows you to select the intrabar timeframe you want. Checking the "Show TF" box will display in the lower-right corner the intrabar timeframe used at any given moment. The proper selection of the intrabar timeframe is important. It must achieve maximal granularity to produce precise results while not unduly slowing down calculations, or worse, causing runtime errors. Note that historical depth will vary with the intrabar timeframe. The smaller the timeframe, the shallower historical plots you will be. Markers Markers appear when the required condition has been confirmed on a closed bar. The configuration of the markers when you create an alert is what determines when the alert will trigger. Five markers are available: • Balances Agreement : All five balances are either bullish​ or bearish​. • Double Bumps : A double bump is two consecutive up/down bars with +/‒ volume​​ delta, and rising Buy/Sell volume​ above its average. • Divergence confirmations : A divergence is confirmed up/down when the chosen balance is up/down on the previous bar when that bar was down/up, and this bar is up/down. • Balance Shifts : These are bull/bear transitions of the selected signal. • Marker Bias Shifts : Marker bias shifts occur when it crosses into bull/bear territory. Periods Allows control over the periods of the different moving averages used to calculate the balances. Volume​ Discrepancies Stock exchanges do not report the same volume​ for intraday and daily (or higher) resolutions. Other variations in how volume​ information is reported can also occur in other markets, namely Forex, where volume​ irregularities can even occur between different intraday timeframes. This will cause discrepancies between the total volume​ on the bar at the chart's timeframe, and the total volume​​ calculated by adding the volume​​ of the intrabars in that bar's dilation. This does not necessarily invalidate the volume​​ delta information calculated from intrabars, but it tells us that we are using partial volume​ data. A mechanism to detect chart vs intrabar timeframe volume​​ discrepancies is provided. It allows you to define a threshold percentage above which the background will indicate a difference has been detected. Other Settings You can control here the display of the gray dot reminder on realtime bars, and the display of error messages if you are using a chart timeframe that is not greater than the fixed intrabar timeframe, when you use that mode. Disabling the message can be useful if you only use realtime mode at chart timeframes that do not support intrabar inspection. █  RAMBLINGS On Volume​ Delta Volume​ is arguably the best complement to interpret price action, and I consider volume​ delta to be the most effective way of processing volume​ information. In periods of low-volatility price consolidations, volume​ will typically also be lower than normal, but slight imbalances in the trend of the buy/sell volume​ balance can sometimes help put early odds on the direction of the break from consolidation. Additionally, the progression of the volume​ imbalance can help determine the proximity of the breakout. I also find volume​ delta and the number of divergences very useful to evaluate the strength of trends. In trends, I am looking for "slow and steady", i.e., relatively low volatility​ and pauses where price action doesn't look like world affairs are being reassessed. In my personal mythology, this type of trend is often more resilient than high-volatility breakouts, especially when volume​ balance confirms the general agreement of traders signaled by the low-volatility usually accompanying this type of trend. The volume​ action on pauses will often help me decide between aggressively taking profits, tightening a stop or going for a longer-term movement. As for reversals, they generally occur in high-volatility areas where entering trades is more expensive and riskier. While the identification of counter-trend reversals fascinates many traders to no end, they represent poor opportunities in my view. Volume​ imbalances often precede reversals, but I prefer to use volume​ delta information to identify the areas following reversals where I can confirm them and make relatively low-cost entries with better odds. On "Buy/Sell" Volume Buying or selling volume​ are misnomers, as every unit of volume​ transacted is both bought and sold by two different traders. While this does not keep me from using the terms, there is no such thing as “buy only” or “sell only” volume​. Trader lingo is riddled with peculiarities. Divergences The divergence detection method used here relies on a difference between the direction of a signal and the polarity (up/down) of a chart bar. When using the default "On Bar Balance" to detect divergences, however, only the bar's volume​ delta is used. You may wonder how there can be divergences between buying/selling volume​ information and price movement on one bar. This will sometimes be due to the calculation's shortcomings, but divergences may also occur in instances where because of order book structure, it takes less volume​ to increase the price of an asset than it takes to decrease it. As usual, divergences are points of interest because they reveal imbalances, which may or may not become turning points. To your pattern-hungry brain, the divergences displayed by this indicator will — as they do on other indicators — appear to often indicate turnarounds. My opinion is that reality is generally quite sobering and I have no reliable information that would tend to prove otherwise. Exercise caution when using them. Consequently, I do not share the overwhelming enthusiasm of traders in identifying bullish​/bearish​ divergences. For me, the best course of action when a divergence occurs is to wait and see what happens from there. That is the rationale underlying how my divergence levels work; they take note of a signal's level when a divergence occurs, and it's the signal's behavior from that point on that determines if the post-divergence action is bullish​/bearish​. Superfluity In "The Bed of Procrustes", Nassim Nicholas Taleb writes: To bankrupt a fool, give him information . This indicator can display lots of information. While learning to use a new indicator inevitably requires an adaptation period where we put it through its paces and try out all its options, once you have become used to it and decide to adopt it, rigorously eliminate the components you don't use and configure the remaining ones so their visual prominence reflects their relative importance in your analysis. I tried to provide flexible options for traders to control this indicator's visuals for that exact reason — not for window dressing. █  LIMITATIONS • This script uses a special characteristic of the `security()` function allowing the inspection of intrabars — which is not officially supported by TradingView.  It has the advantage of permitting a more robust calculation of volume​ delta than other methods on historical bars, but also has its limits. • Intrabar inspection only works on some chart timeframes: 3, 5, 10, 15 and 30 minutes, 1, 2, 3, 4, 6, and 12 hours, 1 day, 1 week and 1 month.  The script’s code can be modified to run on other resolutions. • When the difference between the chart’s timeframe and the intrabar timeframe is too great, runtime errors will occur. The Auto-Steps selection mechanisms should avoid this. • All volume​ is not created equally. Its source, components, quality and reliability will vary considerably with sectors and instruments.  The higher the quality, the more reliably volume​ delta information can be used to guide your decisions.  You should make it your responsibility to understand the volume​ information provided in the data feeds you use. It will help you make the most of volume​ delta. █  NOTES For traders • The Data Window shows key values for the indicator. • While this indicator displays some of the same information calculated in my Delta Volume Columns ,  I have elected to make it a separate publication so that traders continue to have a simpler alternative available to them. Both code bases will continue to evolve separately. • All gradients used in this indicator determine their brightness intensities using advances/declines in the signal—not their relative position in a pre-determined scale. • Volume​ delta being relative, by nature, it is particularly well-suited to Forex markets, as it filters out quite elegantly the cyclical volume​ data characterizing the sector. If you are interested in volume​ delta, consider having a look at my other "Delta Volume" indicators: • Delta Volume Realtime Action displays realtime volume​ delta and tick information on the chart. • Delta Volume Candles builds volume​​ delta candles on the chart. • Delta Volume Columns is a simpler version of this indicator. For coders • I use the `f_c_gradientRelativePro()` from the PineCoders Color Gradient Framework to build my gradients.  This function has the advantage of allowing begin/end colors for both the bull and bear colors. It also allows us to define the number of steps allowed for each gradient.  I use this to modulate the gradients so they perform optimally on the combination of the signal used to calculate advances/declines,  but also the nature of the visual component the gradient applies to. I use fewer steps for choppy signals and when the gradient is used on discrete visual components  such as volume​ columns or chart bars. • I use the PineCoders Coding Conventions for Pine to write my scripts. • I used functions modified from the PineCoders MTF Selection Framework for the selection of timeframes. █  THANKS TO: — The devs from TradingView's Pine and other teams, and the PineCoders who collaborate with them. They are doing amazing work,  and much of what this indicator does could not be done without their recent improvements to Pine. — A guy called Kuan who commented on a Backtest Rookies presentation of their Volume Profile indicator using a `for` loop.  This indicator started from the intrabar inspection technique illustrated in Kuan's snippet. — theheirophant , my partner in the exploration of the sometimes weird abysses of `security()`’s behavior at intrabar timeframes. — midtownsk8rguy , my brilliant companion in mining the depths of Pine graphics.
Indicador Pine Script®
por LucF
125
Market Regime AnalyzerStatistical regime detection with forward-looking transition probabilities. Combines drift testing, variance ratios, and volume delta to classify markets into 5 regimes and quantify transition probabilities. What Regime Are We In, and What's Likely Next? That's the question this indicator answers with statistical rigor and forward-looking probabilities. The Problem: Most traders classify regimes arbitrarily: "Bull if price > 200 MA" or "Bear if RSI < 30." These rules ignore statistical significance, volume confirmation, and mean reversion patterns. The result? Late entries, false signals, and confusion when markets transition. The Solution: Market Regime Analyzer combines drift detection, variance ratio testing, and volume delta analysis to classify markets into 5 distinct regimes. Then it calculates the probability of transitioning to each regime based on historical patterns. The Benefit: Know not just where you are, but where you're likely going - with probabilities, not guesses. The Five Market Regimes 🟢 Strong Bull (Regime 1) - Statistically significant upward drift (t-stat > 1.96) - Strong buying pressure (volume delta > 0.3) - No mean reversion detected - **Trade:** Trend-following strategies, ride the momentum 🟢 Weak Bull (Regime 2) - Upward drift present - BUT weak volume OR mean reversion detected - **Trade:** Reduce position size, tighten stops, prepare for consolidation ⚪ Consolidation (Regime 3) - No statistically significant drift - Mixed volume signals - Mean reversion likely present - **Trade:** Range-trading, avoid trend-following systems 🔴 Weak Bear (Regime 4) - Downward drift present - BUT weak volume pressure - **Trade:** Cautious shorts, reduce exposure, prepare for bounce 🔴 Strong Bear (Regime 5) - Statistically significant downward drift (t-stat < -1.96) - Strong selling pressure (volume delta < -0.3) - No mean reversion detected - **Trade:** Trend-following shorts, protective puts The Statistical Framework 1. Drift Detection with T-Statistics Instead of guessing if there's a trend, we test it statistically. How it works: - Calculates mean return over lookback period - Standardizes by volatility - Compares to significance threshold (default 1.96 = 95% confidence) What it tells you: - T-stat > 1.96: Statistically significant uptrend - T-stat < -1.96: Statistically significant downtrend - In between: No significant trend (consolidation) Why it matters: Only trades trends that are statistically validated, not just visually apparent. 2. Mean Reversion Testing (Variance Ratio) Based on Lo & MacKinlay (1988) research, this detects when markets are range-bound. How it works: - Compares variance at different time scales - Variance Ratio < 0.8 indicates mean reversion What it tells you: - Mean reversion = NO: Trends can continue - Mean reversion = YES: Expect price to return to mean, not breakout Why it matters: Prevents chasing breakouts in range-bound markets. 3. Volume Delta Analysis Total volume tells you HOW MUCH traded. Volume delta tells you WHO won. How it works: - Buying pressure - Selling pressure = Volume Delta - Normalized to show relative strength What it tells you: - Strong positive delta (>0.3): Buyers in control - Strong negative delta (<-0.3): Sellers in control - Weak delta: No clear winner Why it matters: Price can move up on weak buying or down on weak selling. Volume delta reveals the truth. 4. Transition Probability Matrix Historical regime changes predict future regime changes. How it works: - Tracks every regime transition over last 100 bars (configurable) - Builds probability distribution for next regime - Updates continuously Example: Current: Strong Bull Historical transitions from Strong Bull: - Stayed Strong Bull: 45% - Became Weak Bull: 30% - Became Consolidation: 20% - Became Weak Bear: 4% - Became Strong Bear: 1% What it tells you: Strong Bull has 75% chance of staying bullish (45% + 30%), only 5% chance of bearish turn. Why it matters: Adapts to your specific market's behavior patterns. How to Use This Indicator Strategy Adaptation In Strong Bull/Bear Regimes: - Use trend-following strategies - Wider stops, let winners run - Add to positions on pullbacks - High confidence in directional trades In Weak Bull/Bear Regimes: - Reduce position sizes by 50% - Tighter stops - Take profits earlier - Prepare for regime change In Consolidation: - Switch to range-trading strategies - Avoid trend-following systems - Sell resistance, buy support - Wait for regime change before trend trades Risk Management Position Sizing: - Strong regime + high continuation probability (>60%) = Normal size - Weak regime OR high transition probability = Half size - Consolidation = Quarter size or skip Stop Loss Placement: - Strong regime: Use wider stops (2x ATR) - Weak regime: Tighter stops (1x ATR) - Consolidation: Very tight stops (0.5x ATR) Entry Timing Best entries: - Regime just changed to Strong Bull/Bear - High probability (>50%) of staying in current regime - No divergence signals present - Drift and volume delta aligned Avoid entries: - High probability of regime change - Divergence signals appearing - Mean reversion detected in trending regime - Weak volume despite price movement Reading the Dashboard Current Regime Color-coded for instant recognition: - Dark Green = Strong Bull - Light Green = Weak Bull - Gray = Consolidation - Light Red = Weak Bear - Dark Red = Strong Bear Annualized Drift Expected annual return based on recent trend. - Positive = Upward bias - Negative = Downward bias - Near zero = No directional edge T-Statistic Measures statistical significance of drift. - > 1.96 = 95% confident in uptrend - < -1.96 = 95% confident in downtrend - Between = Not statistically significant Mean Reversion - Yes = Expect price to return to mean (range-bound) - No = Trends can continue (trending market) Volume Pressure Normalized volume delta strength. - > 0.3 = Strong buying - < -0.3 = Strong selling - Near 0 = Balanced Transition Probabilities Shows most likely next regime. - Highest probability = Most likely outcome - Evenly distributed = High uncertainty - Concentrated = High confidence in direction Practical Examples Example 1: Strong Bull with High Continuation Dashboard shows: Current Regime: Strong Bull Drift: +22% annualized T-Stat: 3.2 Mean Reversion: No Volume Pressure: +0.45 Probabilities: → Strong Bull: 50% → Weak Bull: 25% → Consolidation: 20% → Bears: 5% Interpretation: - Strong uptrend (t-stat 3.2 >> 1.96) - No mean reversion = trends can continue - Strong buying pressure (0.45 > 0.3) - 75% chance stays bullish (50% + 25%) Action: - Full position size on long setups - Use trend-following entries - Wider stops (2x ATR) - High conviction trades Example 2: Weak Bull Before Consolidation Dashboard shows: Current Regime: Weak Bull Drift: +8% annualized T-Stat: 1.2 Mean Reversion: Yes Volume Pressure: +0.15 Probabilities: → Strong Bull: 10% → Weak Bull: 30% → Consolidation: 50% → Weak Bear: 10% Interpretation: - Weak drift (t-stat 1.2 < 1.96) - Mean reversion detected = range-bound likely - Weak volume (0.15 < 0.3) - 50% chance of consolidation Action: - Reduce long positions - Tighten stops - Prepare for range-bound trading - Avoid new trend trades Example 3: Regime Transition Alert Previous: Weak Bull Current: Consolidation Volume divergence signal appeared: Price made new high, volume delta weakened Interpretation: - Trend exhausted - Buyers losing control - Regime confirmed the transition Action: - Exit trend-following longs - Switch to range-trading approach - Wait for new regime before new directional trades Settings Guide ### Regime Detection Period (50) Number of bars for statistical calculations. - **30-40:** More responsive, catches changes faster, more regime switches - **50 (default):** Balanced for daily/4H charts - **75-100:** More stable, fewer false regime changes, slower to adapt Transition History Depth (100) How much history to use for probabilities. - **50-75:** Adapts quickly to recent behavior - **100 (default):** Balanced robustness - **150-200:** More stable probabilities, slower to adapt Volume Delta Period (14) Period for volume calculations. - **7-10:** More sensitive to volume shifts - **14 (default):** Standard period - **20-30:** Smoother, less noise Significance Threshold (1.96) T-statistic required for trend classification. - **1.64:** 90% confidence, more trend regimes detected - **1.96 (default):** 95% confidence, balanced - **2.58:** 99% confidence, very conservative, mostly consolidation Best Practices Do: - Wait for regime confirmation (at least 3-5 bars in new regime) - Use probabilities to size positions appropriately - Combine with support/resistance for entries - Respect mean reversion signals - Adapt strategy to current regime Don't: - Trade every regime change immediately - Ignore high transition probabilities - Use trend strategies in consolidation - Override statistical signals with gut feel - Trade against Strong regimes without clear setup Timeframe Recommendations Daily Charts: - Default settings work well - Most reliable regime detection - Best for swing trading 4H Charts: - Use default or slightly higher lookback (60-75) - Good for active swing trading - More regime changes than daily 1H Charts: - Reduce lookback to 30-40 - More noise, use with caution - Better for intraday position trading 15M and below: - Not recommended - Too much noise for statistical validity - Regimes change too frequently Combining with Other Indicators Works Well With: Moving Averages - Use regime for directional bias - MAs for specific entry/exit points Support/Resistance - Regime shows context - S/R shows specific levels - High probability at confluence Volume Profile - Regime shows regime - Profile shows where volume is - Target high-volume nodes RSI/MACD - Regime provides context - Momentum shows entry timing - Combine for higher probability Example Combined Setup Regime: Strong Bull Price: Above 200 MA Level: Pullback to support RSI: Oversold (30) Volume Delta: Still positive Setup: Long entry Reason: Trend intact, healthy pullback, buyers still present Divergence Signals The indicator shows volume divergence warnings: Bearish Divergence (Red Triangle Down) - Price makes new high - Volume delta makes lower high - Warning: Buyers weakening, potential reversal Bullish Divergence (Green Triangle Up) - Price makes new low - Volume delta makes higher low - Warning: Sellers weakening, potential reversal How to use: - Divergence in Strong regime = early warning of regime change - Confirms when regime actually transitions - Don't trade divergence alone, wait for regime confirmation Limitations This Indicator Cannot: **Predict black swan events** - Unexpected news overrides all technical regimes **Work in all markets** - Needs liquid markets with reliable volume data **Guarantee profits** - Probabilities are not certainties **Replace fundamental analysis** - Technical regimes can diverge from fundamentals Works Best: - Liquid markets (major indices, forex, crypto, large-cap stocks) - Daily and 4H timeframes - Combined with other analysis - With proper risk management - In normal market conditions Common Questions "Why did the regime stay consolidation despite strong price move?" The indicator detected mean reversion (variance ratio < 0.8), indicating the move will likely reverse. Or the move wasn't statistically significant (t-stat < 1.96). Trust the statistics over visual appearance. "Probabilities show 30% for each regime. What does that mean?" High uncertainty. The market is at an inflection point. Reduce position sizes and wait for clearer regime formation. "Can I use this for day trading?" Not recommended on timeframes below 1H. Statistical tests need sufficient data. Better suited for swing trading. "Why does this show Strong Bull when my momentum indicators show weakness?" Momentum can weaken while the trend remains statistically significant. The indicator focuses on drift and volume, not momentum. Consider it a different perspective. Technical Notes Volume Delta Approximation Uses OHLCV data to approximate order flow: - Buy volume ≈ Volume on up-closes - Sell volume ≈ Volume on down-closes - Delta = Buy - Sell **Note:** Real order flow (from futures or Level 2) is more precise. This approximation works well on liquid markets. Statistical Tests Drift T-Test: - Null hypothesis: No drift (mean return = 0) - Reject if |t-stat| > threshold - Based on standard hypothesis testing Variance Ratio: - Compares 2-period variance to 1-period variance - Ratio = 1 for random walk - Ratio < 1 for mean reversion - Threshold of 0.8 based on empirical testing Transition Probability Implementation Due to Pine Script v5 limitations (no native 2D arrays), the 5×5 transition matrix is stored as a flat 1D array of 25 elements: - Position maps to index: `row × 5 + col` - Example: Transition from Regime 2 to Regime 4 is at index `1 × 5 + 3 = 8` - Laplace smoothing (0.1) prevents zero probabilities - Row sums normalized to calculate probabilities This approach is computationally efficient and maintains statistical accuracy. No Repainting All calculations confirmed on bar close. Regime changes appear when the bar closes, not during formation. Historical analysis is accurate. Alert Conditions Regime Change - Triggers when regime transitions to any new state - Message shows new regime number (1-5) Bearish Divergence - Triggers when price makes new high but volume delta doesn't confirm Bullish Divergence - Triggers when price makes new low but volume delta doesn't confirm Disclaimer FOR EDUCATIONAL PURPOSES ONLY This indicator uses statistical methods to analyze market regimes. It does not predict the future or guarantee trading success. Markets are probabilistic, not deterministic. A 70% probability of staying bullish means 30% chance of regime change. Always use proper risk management. Past regime transitions do not guarantee future transitions. Market structure can change. Statistical relationships can break down. Never risk more than you can afford to lose. Use stop losses on every trade. Test thoroughly before live trading. Consult a qualified financial advisor. © 2026 | Open Source Statistical rigor meets practical application
Indicador Pine Script®
por DavidEH
Profile volume deviationThis indicator calculates the width of the 70% Value Area of a moving volume profile over a defined number of candles. It begins by identifying the highest and lowest points of the period under review, then divides this price range into several segments. For each candle, the volume is added to the segment corresponding to the closing price, which allows a volume profile to be constructed. Once the total volume is known, the indicator identifies the most traded segment, called the Point of Control. From this central point, it gradually widens the area upwards and downwards by adding the most voluminous adjacent segments until it covers 70% of the total volume: this is the Value Area. The lower and upper limits of this area are then converted into prices, and their difference gives the width of the Value Area. This width can be displayed directly as a price value or as a percentage of the current price. The indicator is mainly used to assess the state of the market: a narrow Value Area suggests a phase of compression or range, while a wide Value Area indicates a period of expansion and strong activity.
Indicador Pine Script®
por NTX_Plasma
Penny Stock Short Signal Pro# Penny Stock Short Signal Pro (PSSP) v1.0 ## Complete User Guide & Documentation --- # 📋 TABLE OF CONTENTS 1. (#introduction) 2. (#why-short-penny-stocks) 3. (#the-7-core-detection-systems) 4. (#installation--setup) 5. (#understanding-the-dashboard) 6. (#input-settings-deep-dive) 7. (#visual-elements-explained) 8. (#alert-configuration) 9. (#trading-strategies) 10. (#risk-management) 11. (#best-practices) 12. (#troubleshooting) 13. (#changelog) --- # Introduction **Penny Stock Short Signal Pro (PSSP)** is a comprehensive Pine Script v6 indicator specifically engineered for identifying high-probability short-selling opportunities on low-priced, high-volatility stocks. Unlike generic indicators that apply broad technical analysis, PSSP is purpose-built for the unique characteristics of penny stock price action—where parabolic moves, retail FOMO, and violent reversals create predictable patterns for prepared traders. ## Key Features - **7 Independent Detection Systems** working in concert to identify exhaustion points - **Composite Signal Engine** that requires multiple confirmations before triggering - **Real-Time Dashboard** displaying all signal states and market metrics - **Automatic Risk Management** with dynamic stop-loss and profit target calculations - **Customizable Sensitivity** for different trading styles (scalping vs. swing) - **Built-in Alert System** for all major signal types ## Who Is This For? - **Active Day Traders** looking to capitalize on intraday reversals - **Short Sellers** who specialize in penny stocks and small caps - **Momentum Traders** who want to identify when momentum is exhausting - **Risk-Conscious Traders** who need clear entry/exit levels --- # Why Short Penny Stocks? ## The Penny Stock Lifecycle Penny stocks follow a remarkably predictable lifecycle that creates shorting opportunities: ``` PHASE 1: ACCUMULATION └── Low volume, tight range └── Smart money quietly building positions PHASE 2: MARKUP / PROMOTION └── News catalyst or promotional campaign └── Volume increases, price begins rising └── Early momentum traders enter PHASE 3: DISTRIBUTION (YOUR OPPORTUNITY) └── Parabolic move attracts retail FOMO buyers └── Smart money selling into strength └── Volume climax signals exhaustion └── ⚠️ PSSP SIGNALS FIRE HERE ⚠️ PHASE 4: DECLINE └── Support breaks, panic selling └── Price returns toward origin └── Short sellers profit ``` ## Why Shorts Work on Penny Stocks 1. **No Fundamental Support**: Most penny stocks have no earnings, revenue, or assets to justify elevated prices 2. **Promotional Nature**: Many rallies are driven by promoters who will eventually stop 3. **Retail Exhaustion**: Retail buying power is finite—when it's exhausted, gravity takes over 4. **Float Dynamics**: Low float stocks move fast in both directions 5. **Technical Levels Matter**: VWAP, round numbers, and prior highs become self-fulfilling resistance --- # The 7 Core Detection Systems PSSP employs seven independent detection algorithms. Each identifies a specific type of exhaustion or reversal signal. When multiple systems fire simultaneously, the probability of a successful short dramatically increases. --- ## 1. PARABOLIC EXHAUSTION DETECTOR ### What It Detects Identifies when price has moved too far, too fast and is likely to reverse. This system looks for the classic "blow-off top" pattern common in penny stock runners. ### Technical Logic ``` Parabolic Signal = TRUE when: ├── Consecutive green candles ≥ threshold (default: 3) ├── AND price extension from VWAP ≥ threshold ATRs (default: 1.5) └── OR shooting star / upper wick rejection pattern forms ``` ### Visual Representation ``` ╱╲ ← Shooting star / upper wick ╱ ╲ (Parabolic exhaustion) ╱ ╱ ╱ ══════════════ VWAP ╱ ╱ ``` ### Why It Works on Penny Stocks Penny stocks are notorious for parabolic moves driven by retail FOMO. When everyone who wants to buy has bought, there's no one left to push prices higher. The shooting star pattern shows that sellers are already stepping in at higher prices. ### Key Settings | Parameter | Default | Range | Description | |-----------|---------|-------|-------------| | Lookback Period | 10 | 3-30 | Bars to analyze for pattern | | Extension Threshold | 1.5 ATR | 0.5-5.0 | How far above VWAP is "parabolic" | | Consecutive Green Bars | 3 | 2-10 | Minimum green bars for exhaustion | --- ## 2. VWAP REJECTION SYSTEM ### What It Detects Volume Weighted Average Price (VWAP) is the single most important level for institutional traders. This system identifies when price tests above VWAP and gets rejected back below—a powerful short signal. ### Technical Logic ``` VWAP Rejection = TRUE when: ├── Candle high pierces above VWAP ├── AND candle closes below VWAP ├── AND candle is bearish (close < open) └── AND rejection distance is within sensitivity threshold ``` ### Visual Representation ``` High ──→ ╱╲ ╱ ╲ VWAP ════════╱════╲═══════════ Close ←── Rejection ``` ### Extended VWAP Signals The system also tracks VWAP standard deviation bands. Rejection from the upper band (2 standard deviations above VWAP) is an even stronger signal. ### Why It Works on Penny Stocks - Algorithms and institutions use VWAP as their benchmark - Failed attempts to reclaim VWAP often lead to waterfall selling - VWAP acts as a "magnet" that price tends to revert toward ### Key Settings | Parameter | Default | Range | Description | |-----------|---------|-------|-------------| | Rejection Sensitivity | 0.5 ATR | 0.1-2.0 | How close to VWAP for valid rejection | | Show VWAP Line | True | - | Display VWAP on chart | | Show VWAP Bands | True | - | Display standard deviation bands | | Band Multiplier | 2.0 | 0.5-4.0 | Standard deviations for bands | --- ## 3. VOLUME CLIMAX DETECTOR ### What It Detects Identifies "blow-off tops" where extreme volume accompanies a price spike. This often marks the exact top as it represents maximum retail participation—after which buying power is exhausted. ### Technical Logic ``` Volume Climax = TRUE when: ├── Current volume ≥ (Average volume × Climax Multiple) ├── AND one of: │ ├── Selling into the high (upper wick > lower wick on green bar) │ └── OR post-climax weakness (red bar following climax bar) ``` ### Visual Representation ``` Price: ╱╲ ╱ ╲ ╱ ╲ ╱ ╲ ╱ Volume: ▂▃▅▇██▇▅▃▂▁ ↑ Volume Climax (3x+ average) ``` ### Why It Works on Penny Stocks - Retail traders pile in at the top, creating volume spikes - Market makers and smart money use this liquidity to exit - Once the volume spike passes, there's no fuel left for higher prices - The "smart money selling into dumb money buying" creates the top ### Key Settings | Parameter | Default | Range | Description | |-----------|---------|-------|-------------| | Volume MA Length | 20 | 5-50 | Period for average volume calculation | | Climax Volume Multiple | 3.0x | 1.5-10.0 | Multiple of average for "climax" | | Show Volume Bars | True | - | Visual volume representation | --- ## 4. RSI DIVERGENCE ANALYZER ### What It Detects Bearish divergence occurs when price makes higher highs but RSI (momentum) makes lower highs. This indicates that momentum is weakening even as price pushes higher—a warning of imminent reversal. ### Technical Logic ``` Bearish Divergence = TRUE when: ├── RSI is in overbought territory (> threshold) ├── AND RSI is declining (current < previous < prior) └── Indicates momentum exhaustion before price catches up ``` ### Visual Representation ``` Price: /\ /\ / \ / \ ← Higher high / \/ / / RSI: /\ / \ /\ / \/ \ ← Lower high (DIVERGENCE) / \ ════════════════════ Overbought (70) ``` ### Why It Works on Penny Stocks - Penny stocks often push to new highs on weaker and weaker momentum - Divergence signals that fewer buyers are participating at each new high - Eventually, the lack of buying pressure leads to collapse ### Key Settings | Parameter | Default | Range | Description | |-----------|---------|-------|-------------| | RSI Length | 14 | 5-30 | Standard RSI calculation period | | Overbought Level | 70 | 60-90 | RSI level considered overbought | | Divergence Lookback | 14 | 5-30 | Bars to look back for swing highs | --- ## 5. KEY LEVEL REJECTION TRACKER ### What It Detects Identifies rejections from significant price levels where shorts are likely to be concentrated: High of Day (HOD), premarket highs, and psychological levels (whole and half dollars). ### Technical Logic ``` Level Rejection = TRUE when: ├── Price touches key level (within 0.2% tolerance) ├── AND candle is bearish (close < open) ├── AND close is in lower portion of candle range │ ├── Key Levels Tracked: │ ├── High of Day (HOD) │ ├── Premarket High │ └── Psychological levels ($1.00, $1.50, $2.00, etc.) ``` ### Visual Representation ``` HOD ───────────────────────────────── ╱╲ ← Rejection ╱ ╲ ╱ ╲ ╱ ───────────────────────────────── PM High ───────────────────────────── ``` ### Why It Works on Penny Stocks - **HOD**: The high of day is where the most traders are trapped long. Failure to break HOD often triggers stop-loss cascades - **Premarket High**: Represents overnight enthusiasm; failure to exceed often means the "news" is priced in - **Psychological Levels**: Round numbers ($1, $2, $5) attract orders and act as natural resistance ### Key Settings | Parameter | Default | Range | Description | |-----------|---------|-------|-------------| | Track HOD Rejection | True | - | Monitor high of day | | Track Premarket High | True | - | Monitor premarket resistance | | Track Psychological Levels | True | - | Monitor round numbers | --- ## 6. FAILED BREAKOUT DETECTOR ### What It Detects Identifies "bull traps" where price breaks above resistance but immediately fails and closes back below. This traps breakout buyers and often leads to accelerated selling. ### Technical Logic ``` Failed Breakout = TRUE when: ├── Price breaks above recent high (lookback period) ├── AND one of: │ ├── Same bar closes below the breakout level │ └── OR following bars show consecutive red candles ``` ### Visual Representation ``` ╱╲ ╱ ╲ ← False breakout Recent High ══╱════╲════════════════ ╱ ╲ ╱ ╲ ╱ ╲ ← Trapped longs panic sell ``` ### Why It Works on Penny Stocks - Breakout traders enter on the break, providing exit liquidity for smart money - When the breakout fails, these traders become trapped and must exit - Their forced selling accelerates the decline - Penny stocks have thin order books, making failed breakouts especially violent ### Key Settings | Parameter | Default | Range | Description | |-----------|---------|-------|-------------| | Breakout Lookback | 5 | 2-15 | Bars to define "recent high" | | Confirmation Bars | 2 | 1-5 | Bars to confirm failure | --- ## 7. MOVING AVERAGE BREAKDOWN SYSTEM ### What It Detects Monitors exponential moving averages (EMAs) for bearish crossovers and price rejections. EMA crosses often signal trend changes, while rejections from EMAs indicate resistance. ### Technical Logic ``` MA Breakdown = TRUE when: ├── Bearish EMA cross (fast crosses below slow) └── OR EMA rejection (price tests EMA from below and fails) ``` ### Visual Representation ``` ╱╲ ← Rejection from EMA ╱ ╲ EMA 9 ═══════════╱════╲═══════════ ╲ EMA 20 ═══════════════════╲════════ ╲ Bearish cross ↓ ``` ### Why It Works on Penny Stocks - EMAs smooth out the noise and show underlying trend direction - When fast EMA crosses below slow EMA, it signals momentum shift - Rejected attempts to reclaim EMAs show sellers are in control ### Key Settings | Parameter | Default | Range | Description | |-----------|---------|-------|-------------| | Fast EMA | 9 | 3-20 | Short-term trend | | Slow EMA | 20 | 10-50 | Medium-term trend | | Show EMAs | True | - | Display on chart | --- # Installation & Setup ## Step 1: Access Pine Editor 1. Open TradingView (tradingview.com) 2. Open any chart 3. Click "Pine Editor" at the bottom of the screen ## Step 2: Create New Indicator 1. Click "Open" → "New blank indicator" 2. Delete any existing code 3. Paste the entire PSSP code ## Step 3: Save and Add to Chart 1. Click "Save" (give it a name like "PSSP") 2. Click "Add to chart" 3. The indicator will appear with default settings ## Step 4: Configure Settings 1. Click the gear icon (⚙️) on the indicator 2. Adjust settings based on your trading style (see Settings section) 3. Click "OK" to apply ## Recommended Chart Setup - **Timeframe**: 1-minute or 5-minute for scalping, 15-minute for swing shorts - **Chart Type**: Candlestick - **Extended Hours**: Enable if trading premarket/afterhours - **Volume**: Can disable default volume since PSSP tracks it --- # Understanding the Dashboard The real-time dashboard provides at-a-glance status of all systems: ``` ┌─────────────────────────────────────────┐ │ 📊 SHORT SIGNAL DASHBOARD │ ├─────────────────────────────────────────┤ │ Signal Strength: 5/7 │ ├─────────────────────────────────────────┤ │ ─── ACTIVE SIGNALS ─── │ │ │ │ Parabolic Exhaustion 🔴 2.1 ATR │ │ VWAP Rejection 🔴 Above │ │ Volume Climax 🔴 4.2x Avg │ │ RSI Divergence ⚪ RSI: 68 │ │ Level Rejection 🔴 @ HOD │ │ Failed Breakout 🔴 │ │ MA Breakdown ⚪ Bullish │ ├─────────────────────────────────────────┤ │ ─── RISK LEVELS ─── │ │ Stop: $2.45 T1: $2.10 T2: $1.85 │ └─────────────────────────────────────────┘ ``` ## Dashboard Elements Explained ### Signal Strength Indicator | Rating | Signals | Color | Interpretation | |--------|---------|-------|----------------| | STRONG | 5-7 | Red | High-confidence short opportunity | | MODERATE | 3-4 | Orange | Decent setup, consider other factors | | WEAK | 1-2 | Gray | Insufficient confirmation | | NONE | 0 | Gray | No short signals active | ### Signal Status Icons - 🔴 = Signal is ACTIVE (condition met) - ⚪ = Signal is INACTIVE (condition not met) ### Contextual Metrics Each signal row includes relevant metrics: - **Parabolic**: Shows ATR extension from VWAP - **VWAP**: Shows if price is Above/Below VWAP - **Volume**: Shows current volume as multiple of average - **RSI**: Shows current RSI value - **Level**: Shows which level was touched (HOD, PM High, etc.) - **MA**: Shows EMA relationship (Bullish/Bearish) ### Risk Levels When a composite short signal fires: - **Stop**: Suggested stop-loss level (high + ATR multiple) - **T1**: First profit target (1:1 risk/reward) - **T2**: Second profit target (user-defined R:R) --- # Input Settings Deep Dive ## Group 1: Parabolic Exhaustion | Setting | Default | Conservative | Aggressive | Description | |---------|---------|--------------|------------|-------------| | Enable | True | True | True | Turn system on/off | | Lookback Period | 10 | 15 | 5 | Bars analyzed for pattern | | Extension Threshold | 1.5 | 2.0 | 1.0 | ATRs above VWAP for "parabolic" | | Consecutive Green Bars | 3 | 4 | 2 | Minimum green bars required | **Tuning Tips:** - Lower thresholds = more signals but more false positives - Higher thresholds = fewer signals but higher quality - For very volatile penny stocks, consider higher thresholds ## Group 2: VWAP Rejection | Setting | Default | Conservative | Aggressive | Description | |---------|---------|--------------|------------|-------------| | Enable | True | True | True | Turn system on/off | | Rejection Sensitivity | 0.5 | 0.3 | 0.8 | ATR distance for valid rejection | | Show VWAP Line | True | True | True | Display VWAP | | Show VWAP Bands | True | True | True | Display deviation bands | | Band Multiplier | 2.0 | 2.5 | 1.5 | Standard deviations for bands | **Tuning Tips:** - Tighter sensitivity (lower number) = must reject very close to VWAP - Wider bands = less frequent upper band rejections but more significant ## Group 3: Volume Climax | Setting | Default | Conservative | Aggressive | Description | |---------|---------|--------------|------------|-------------| | Enable | True | True | True | Turn system on/off | | Volume MA Length | 20 | 30 | 10 | Baseline volume period | | Climax Volume Multiple | 3.0 | 4.0 | 2.0 | Multiple for "climax" status | | Show Volume Profile | True | True | True | Visual volume bars | **Tuning Tips:** - Higher multiple = only extreme volume spikes trigger - Shorter MA = more responsive to recent volume changes - For highly liquid stocks, consider higher multiples ## Group 4: Momentum Divergence | Setting | Default | Conservative | Aggressive | Description | |---------|---------|--------------|------------|-------------| | Enable | True | True | True | Turn system on/off | | RSI Length | 14 | 21 | 7 | RSI calculation period | | Overbought Level | 70 | 75 | 65 | Threshold for "overbought" | | Divergence Lookback | 14 | 20 | 10 | Bars for swing high detection | **Tuning Tips:** - Lower overbought threshold = more frequent signals - Shorter RSI length = more responsive but noisier ## Group 5: Key Level Rejection | Setting | Default | Description | |---------|---------|-------------| | Enable | True | Master toggle for level system | | Track Premarket High | True | Monitor premarket resistance | | Track HOD Rejection | True | Monitor high of day | | Track Psychological Levels | True | Monitor round numbers | **Tuning Tips:** - Disable premarket tracking if stock doesn't have significant premarket activity - Psychological levels work best on stocks under $10 ## Group 6: Failed Follow-Through | Setting | Default | Conservative | Aggressive | Description | |---------|---------|--------------|------------|-------------| | Enable | True | True | True | Turn system on/off | | Breakout Lookback | 5 | 8 | 3 | Bars defining "recent high" | | Confirmation Bars | 2 | 3 | 1 | Bars to confirm failure | **Tuning Tips:** - Shorter lookback = more breakouts detected but smaller significance - More confirmation bars = higher confidence but later entry ## Group 7: Moving Average Signals | Setting | Default | Conservative | Aggressive | Description | |---------|---------|--------------|------------|-------------| | Enable | True | True | True | Turn system on/off | | Fast EMA | 9 | 12 | 5 | Short-term trend | | Slow EMA | 20 | 26 | 13 | Medium-term trend | | Show EMAs | True | True | True | Display on chart | **Tuning Tips:** - Standard 9/20 works well for most penny stocks - Faster EMAs (5/13) for scalping, slower (12/26) for swing trading ## Group 8: Composite Signal | Setting | Default | Conservative | Aggressive | Description | |---------|---------|--------------|------------|-------------| | Minimum Signals | 3 | 4-5 | 2 | Signals needed for trigger | | Show Dashboard | True | True | True | Display signal table | | Dashboard Position | top_right | - | - | Screen location | **Tuning Tips:** - **Minimum Signals is the most important setting** - Higher minimum = fewer trades but higher win rate - Lower minimum = more trades but more false signals ## Group 9: Risk Management | Setting | Default | Conservative | Aggressive | Description | |---------|---------|--------------|------------|-------------| | Show Stop Levels | True | True | True | Display stop loss | | Stop ATR Multiple | 1.5 | 2.0 | 1.0 | Stop distance in ATRs | | Show Targets | True | True | True | Display profit targets | | Target R:R | 2.0 | 1.5 | 3.0 | Risk:Reward for Target 2 | **Tuning Tips:** - Tighter stops (lower ATR multiple) = less risk but more stop-outs - Higher R:R targets = bigger winners but fewer targets hit ## Group 10: Visual Settings | Setting | Default | Description | |---------|---------|-------------| | Bullish Color | Green | Color for bullish elements | | Bearish Color | Red | Color for bearish/short signals | | Warning Color | Orange | Color for caution signals | | Neutral Color | Gray | Color for inactive elements | --- # Visual Elements Explained ## Chart Overlays ### VWAP Line (Blue) - **Solid blue line** = Volume Weighted Average Price - Price above VWAP = bullish bias - Price below VWAP = bearish bias - **Use**: Short when price rejects from above VWAP ### VWAP Bands (Purple circles) - Upper band = 2 standard deviations above VWAP - Lower band = 2 standard deviations below VWAP - **Use**: Extreme extension to upper band signals potential reversal ### EMAs (Orange and Red) - **Orange line** = Fast EMA (9-period default) - **Red line** = Slow EMA (20-period default) - **Use**: Bearish cross or price rejection from EMAs confirms short ### HOD Line (Red, dashed) - Shows the current day's high - **Use**: Rejection from HOD is a key short signal ### Premarket High (Orange, dashed) - Shows premarket session high - **Use**: Failure to break PM high often signals weakness ## Signal Markers ### Individual Signal Markers (Small) | Shape | Color | Signal | |-------|-------|--------| | ▼ Triangle | Purple | Parabolic Exhaustion | | ✕ X-Cross | Blue | VWAP Rejection | | ◆ Diamond | Yellow | Volume Climax | | ● Circle | Orange | RSI Divergence | | ■ Square | Red | Failed Breakout | ### Composite Short Signal (Large) - **Large red triangle** with "SHORT" text - Only appears when minimum signal threshold is met - This is your primary trading signal ## Risk Level Lines ### Stop Loss (Red line) - Calculated as: Entry + (ATR × Stop Multiple) - Represents maximum acceptable loss - **RESPECT THIS LEVEL** ### Target 1 (Light green line) - First profit target at 1:1 risk/reward - Consider taking partial profits here ### Target 2 (Dark green line) - Second profit target at user-defined R:R - Let winners run to this level ## Background Coloring ### Light Red Background - Appears when composite short signal is active - Indicates you should be looking for shorts, not longs ### Light Purple Background - Appears during extreme parabolic extension - Warning of potential imminent reversal --- # Alert Configuration ## Available Alerts ### 1. Composite Short Signal **Best for**: Primary trading signal ``` Condition: Composite short signal fires Message: "PSSP: Short Signal Triggered - {ticker} at {close}" ``` ### 2. Parabolic Exhaustion **Best for**: Early warning of potential top ``` Condition: Parabolic exhaustion detected Message: "PSSP: Parabolic exhaustion detected on {ticker}" ``` ### 3. Volume Climax **Best for**: Blow-off top identification ``` Condition: Volume climax occurs Message: "PSSP: Volume climax / blow-off top on {ticker}" ``` ### 4. Strong Short Setup (5+ Signals) **Best for**: High-confidence opportunities only ``` Condition: 5 or more signals active Message: "PSSP: STRONG short setup on {ticker}" ``` ### 5. Very Strong Short Setup (6+ Signals) **Best for**: Maximum confidence trades ``` Condition: 6 or more signals active Message: "PSSP: VERY STRONG short setup on {ticker}" ``` ### 6. Failed Breakout **Best for**: Bull trap identification ``` Condition: Failed breakout detected Message: "PSSP: Failed breakout detected on {ticker}" ``` ### 7. Key Level Rejection **Best for**: Resistance level plays ``` Condition: Key level rejection occurs Message: "PSSP: Key level rejection on {ticker}" ``` ## Setting Up Alerts in TradingView 1. Right-click on the chart 2. Select "Add Alert" 3. Set Condition to "Penny Stock Short Signal Pro" 4. Choose your desired alert condition 5. Configure notification method (popup, email, webhook, etc.) 6. Set expiration (or "Open-ended" for permanent) 7. Click "Create" ## Alert Strategy Recommendations ### For Active Day Traders - Enable: Composite Short Signal, Volume Climax - Set to: Popup + Sound - Check frequently during market hours ### For Swing Traders - Enable: Strong Short Setup (5+), Very Strong Short Setup (6+) - Set to: Email + Mobile Push - Review at key times (open, lunch, close) ### For Part-Time Traders - Enable: Very Strong Short Setup (6+) only - Set to: Email + SMS - Only trade highest-conviction setups --- # Trading Strategies ## Strategy 1: The Parabolic Fade **Setup Requirements:** - Parabolic Exhaustion signal ACTIVE - Extension from VWAP ≥ 2.0 ATR - Volume climax or declining volume on push **Entry:** - Short on first red candle after signal - Or short on break below prior candle's low **Stop Loss:** - Above the high of the parabolic move - Maximum: 1.5 ATR above entry **Targets:** - T1: VWAP (take 50% off) - T2: Lower VWAP band or LOD **Best Time:** 9:30-10:30 AM (morning runners) --- ## Strategy 2: VWAP Rejection Short **Setup Requirements:** - VWAP Rejection signal ACTIVE - Price came from below VWAP - Rejection candle has significant upper wick **Entry:** - Short on close below VWAP - Or short on break below rejection candle low **Stop Loss:** - Above VWAP + 0.5 ATR - Or above rejection candle high **Targets:** - T1: Lower VWAP band - T2: Prior support or LOD **Best Time:** Midday (11:00 AM - 2:00 PM) --- ## Strategy 3: HOD Failure Short **Setup Requirements:** - Level Rejection signal ACTIVE (HOD) - Multiple tests of HOD without breakthrough - Volume declining on each test **Entry:** - Short on confirmed HOD rejection - Wait for close below the rejection candle **Stop Loss:** - Above HOD + 0.25 ATR (tight) - Clear invalidation if HOD breaks **Targets:** - T1: VWAP - T2: Morning support levels **Best Time:** 10:30 AM - 12:00 PM --- ## Strategy 4: Volume Climax Fade **Setup Requirements:** - Volume Climax signal ACTIVE - Volume ≥ 3x average on green candle - Followed by bearish candle or upper wick **Entry:** - Short on first red candle after climax - Or short on break below climax candle low **Stop Loss:** - Above climax candle high - Give room for volatility spike **Targets:** - T1: 50% retracement of the run - T2: VWAP or start of the run **Best Time:** First hour of trading --- ## Strategy 5: The Full Composite (High Conviction) **Setup Requirements:** - Composite Short signal ACTIVE - Minimum 4-5 individual signals - Clear visual of signal markers clustering **Entry:** - Short immediately on composite signal - Use market order for fast-moving stocks **Stop Loss:** - Use indicator's automatic stop level - Do not deviate from system **Targets:** - T1: Indicator's T1 level (1:1) - T2: Indicator's T2 level (2:1) **Best Time:** Any time with sufficient signals --- # Risk Management ## Position Sizing Formula ``` Position Size = (Account Risk %) / (Stop Loss %) Example: - Account: $25,000 - Risk per trade: 1% = $250 - Entry: $2.00 - Stop: $2.20 (10% stop) - Position Size: $250 / 10% = $2,500 worth - Shares: $2,500 / $2.00 = 1,250 shares ``` ## Risk Rules ### The 1% Rule Never risk more than 1% of your account on any single trade. For a $25,000 account, max risk = $250. ### The 2x Stop Rule If your stop gets hit twice on the same stock, stop trading it for the day. The pattern isn't working. ### The Daily Loss Limit Set a maximum daily loss (e.g., 3% of account). Stop trading if hit. ### The Size-Down Rule After a losing trade, reduce your next position size by 50%. Rebuild after a winner. ## Short-Specific Risks ### The Short Squeeze - Penny stocks can squeeze violently - ALWAYS use stops - Never "hope" a position comes back - Size appropriately for volatility ### The Hard-to-Borrow - Check borrow availability before trading - High borrow fees eat into profits - Some stocks become HTB mid-trade ### The Halt Risk - Penny stocks can halt on volatility - Position size for worst-case halt against you - Halts can open significantly higher --- # Best Practices ## DO's ✅ **Wait for multiple signals** - Single signals have lower accuracy ✅ **Trade with the trend** - Short when daily trend is down ✅ **Use the dashboard** - Check signal count before entering ✅ **Respect stops** - The indicator calculates them for a reason ✅ **Size appropriately** - Penny stocks are volatile; position small ✅ **Trade liquid stocks** - Volume ≥ 500K daily average ✅ **Know the catalyst** - Understand why the stock is moving ✅ **Take partial profits** - Secure gains at T1 ✅ **Journal your trades** - Track what works and what doesn't ✅ **Time your entries** - Best shorts often come 10:30-11:30 AM ## DON'Ts ❌ **Don't short strong stocks** - If it won't go down, don't force it ❌ **Don't fight the tape** - A stock going up can keep going up ❌ **Don't average up on losers** - Adding to losing shorts is dangerous ❌ **Don't ignore the dashboard** - It exists to help you ❌ **Don't overtrade** - Quality over quantity ❌ **Don't short into news** - Wait for the reaction first ❌ **Don't trade the first 5 minutes** - Too chaotic for reliable signals ❌ **Don't hold overnight** - Penny stock gaps can destroy accounts ❌ **Don't trade without stops** - Ever. ❌ **Don't trade on tilt** - After losses, take a break ## Optimal Trading Windows | Time (ET) | Quality | Notes | |-----------|---------|-------| | 9:30-9:35 | ⭐ | Too volatile, avoid | | 9:35-10:30 | ⭐⭐⭐⭐⭐ | Best shorts, morning runners exhaust | | 10:30-11:30 | ⭐⭐⭐⭐ | Secondary exhaustion, HOD rejections | | 11:30-2:00 | ⭐⭐ | Midday lull, lower quality | | 2:00-3:00 | ⭐⭐⭐ | Afternoon setups develop | | 3:00-3:30 | ⭐⭐⭐⭐ | End of day momentum | | 3:30-4:00 | ⭐⭐ | Closing volatility, risky | --- # Troubleshooting ## Common Issues ### "Signals aren't appearing" - Check that the relevant system is enabled in settings - Ensure minimum signals threshold isn't too high - Verify the stock has sufficient volume for calculations ### "Too many false signals" - Increase minimum signals threshold - Use more conservative settings (see Settings section) - Focus on stocks with cleaner price action ### "Dashboard not showing" - Ensure "Show Signal Dashboard" is enabled - Check that your chart has enough space - Try a different dashboard position ### "VWAP line is missing" - VWAP requires intraday timeframes (1m, 5m, 15m, etc.) - VWAP resets daily; won't show on daily+ charts - Ensure "Show VWAP Line" is enabled ### "Stop loss seems too tight/wide" - Adjust Stop ATR Multiple in Risk Management settings - Lower multiple = tighter stop - Higher multiple = wider stop ### "Alerts not triggering" - Verify alert is set to the correct indicator - Check that alert hasn't expired - Ensure notification settings are configured in TradingView ## Performance Optimization If the indicator is slow: 1. Reduce the number of visual elements shown 2. Disable unused signal systems 3. Use on fewer simultaneous charts 4. Close unused browser tabs --- # Changelog ## Version 1.0 (Initial Release) - 7 core detection systems implemented - Real-time signal dashboard - Automatic risk management calculations - 7 alert conditions - Full visual overlay system - Comprehensive input settings ## Planned Features (Future Updates) - Scanner integration for multi-stock screening - Machine learning signal weighting - Backtesting statistics panel - Volume profile analysis - Level 2 data integration (if available) - Custom timeframe VWAP options --- # Support & Feedback ## Reporting Issues When reporting issues, please include: 1. TradingView username 2. Stock symbol and timeframe 3. Screenshot of the issue 4. Your indicator settings 5. Steps to reproduce ## Feature Requests We welcome suggestions for improving PSSP. Consider: - What specific pattern are you trying to catch? - How would this help your trading? - Any reference examples? --- # Disclaimer **IMPORTANT: This indicator is for educational and informational purposes only.** - Past performance does not guarantee future results - Short selling carries unlimited risk potential - Always use proper position sizing and stop losses - Paper trade before using real capital - The creator assumes no liability for trading losses - Consult a financial advisor before trading **Trade at your own risk.** --- *Penny Stock Short Signal Pro v1.0* *Pine Script v6* *© 2025*
Indicador Pine Script®
por DayTradingMD1992
1
[Greeny] RTH Only Naked VPOCWhat it does Calculates and displays daily Volume Point of Control (VPOC) levels based on RTH (Regular Trading Hours) session only. Tracks which VPOCs remain "naked" (untouched) and which have been hit - but only counts hits during RTH hours, ignoring overnight/globex touches. Key Features One VPOC per trading day calculated from entire RTH session volume profile RTH-only hit detection - levels only marked as hit when touched during RTH, not overnight Works on all timeframes - daily, hourly, or any chart timeframe Volume-based filtering - automatically skips low-liquidity sessions (pre-front-month contract data) Visual markers - small dash on origin bar shows where each VPOC was, even after being hit Visual Guide Yellow dashed line - Naked VPOC (not yet touched during RTH) White dashed line - Hit VPOC (was touched during RTH) Small dash on candle - POC origin marker Settings Display options: Toggle to show only naked POCs, customize hit/naked colors, adjust line width and style (solid/dashed/dotted), enable/disable line extension and origin markers. RTH Session: Configure start and end time in NY timezone. Default is 9:30-16:00 (US equity market hours), which equals 15:30-22:00 Budapest time. Advanced: Adjust volume profile resolution (default 250 bins), data source timeframe for calculations (5min recommended for daily charts), and minimum volume threshold to filter out low-liquidity sessions like pre-rollover contract data (default 10% of average). Best For ES/MES, NQ/MNQ futures traders Mean reversion strategies using VPOC as support/resistance Auction Market Theory practitioners Anyone wanting clean RTH-only volume profile levels Note on Contract Rollovers When using specific contract symbols (e.g., ESH2026 instead of ES1!), the script may show many naked VPOCs from months before the contract became active. This happens because futures contracts have very low liquidity before becoming the front-month, creating unreliable VPOCs with gaps that never get hit. The volume filter helps reduce this, but you may need to increase the "Min Volume % of Average" setting or simply ignore older levels when viewing back-month data.
Indicador Pine Script®
por GreenyEdge
1
Liquidity Strain Detector [MarkitTick]💡 This indicator provides a specialized method for detecting market anomalies where price movement becomes disconnected from typical volume profiles, signaling potential exhaustion events. By combining statistical analysis of liquidity (price impact) with a directional trend filter, the tool aims to highlight moments of extreme market stress, such as panic selling or euphoric buying, that often precede mean reversions or trend pauses. ● Originality and Utility Standard volume indicators often look at raw volume levels, which can be misleading during different times of the day or across different assets. This script calculates the efficiency of moving price (Illiquidity) and normalizes it statistically. This allows the trader to see when the market is becoming thin or stressed relative to recent history. It is particularly useful for contrarian traders looking for capitulation points within established trends, offering a unique perspective beyond standard RSI or MACD divergence. ● Methodology The core mechanism drives a custom Liquidity Engine that performs the following steps: Price Impact Calculation: It computes the ratio of the True Range to Volume. High values indicate that price is moving significant distances on relatively low volume or that volatility is extreme relative to participation. Normalization: The raw impact data is smoothed using a logarithmic scale to handle the wide variance in volume data. Statistical Scoring (Z-Score): The script calculates the Z-Score of this normalized data over a user-defined lookback period. This determines how many standard deviations the current liquidity stress is away from the mean. Trend Filtering: A standard Exponential Moving Average (EMA) determines the dominant market direction to contextualize the stress signal. ● How to Use The indicator plots labels on the chart when specific High Stress conditions are met during a trend: SE (Seller Exhaustion - Green Label): Appears when the market is in a downtrend (price below EMA), the current candle is bearish, and the liquidity stress Z-Score breaches the upper threshold. This suggests panic selling or a liquidity gap down, often marking a temporary bottom or reversal point. BE (Buyer Exhaustion - Red Label): Appears when the market is in an uptrend (price above EMA), the current candle is bullish, and the liquidity stress Z-Score breaches the upper threshold. This suggests a melt-up or buying climax into thin liquidity, often preceding a pullback. ● Inputs Trend Filter Length: The period for the EMA used to determine the baseline trend direction. Statistical Lookback: The number of bars used to calculate the mean and standard deviation for the Z-Score. Stress Threshold (Sigma): The Z-Score value required to trigger a high-stress signal. Higher values result in fewer, more extreme signals. ● Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Indicador Pine Script®
por MarkitTick
Elite Cumulative Volume Delta OscillatorOverview The Elite CVD+ is a premium-grade, session-resettable Cumulative Volume Delta indicator designed exclusively for professional futures and volume-profile traders. By focusing on the cleaner and more actionable Line-Focused mode, it transforms raw order flow data into a precise decision engine that reveals institutional buying/selling pressure, absorption, exhaustion, and high-probability reversal/continuation zones. Unlike standard CVD tools that accumulate indefinitely or reset awkwardly, this version resets cleanly at your chosen anchor period (default daily) while pulling granular delta from lower timeframes when desired. The result: a smooth, non-repainting line that highlights real-time shifts in aggressive participation without the noise of perpetual accumulation. Why This Indicator Is Elite-Level Useful True Institutional Footprint Cumulative Volume Delta measures the net aggressive buying (bid hits) vs. selling (ask hits). Sustained positive CVD = buyers in control; negative = sellers dominating. When price makes new highs on weakening CVD → classic bearish divergence signaling distribution. The session reset prevents old data from distorting current conviction, making divergences far more reliable than perpetual CVD. Early Reversal Detection via Absorption & Extremes Absorption highlighting flags scenarios where heavy delta pushes against price but price refuses to follow (e.g., massive selling into lows yet price holds or closes higher) — textbook trapping/retail stop-hunting. Session CVD extremes with dynamic test zones pinpoint where aggressive flow is exhausted. Price returning to test these levels often produces high-R:R reversals. Confluence-Rich Signals Dual EMAs provide trend/filter context (crossovers, zero-line bounces). Dynamic coloring instantly shows momentum strength. Extreme single-bar delta highlights climax buying/selling. Built-in regular + hidden divergences align order flow with price structure. Multi-Timeframe Consistency Optional custom lower-TF delta fetch ensures the same granular data regardless of chart timeframe — critical for traders who switch between 1-min execution charts and 15-min/1H analysis charts. Clean, Low-Lag Visuals Thick CVD line with intelligent coloring, subtle backgrounds, persistent extreme lines, and optional labels keep the pane readable even during fast markets. No clutter from inferior candle representations. How Professional Traders Use Elite CVD+ Most Successfully Primary Setup Framework Use on futures with reliable volume delta (ES, NQ, YM, CL, GC, etc.). Best timeframes: 3–15 minutes for intraday, 1H–4H for swing. Combine with price action structure (order blocks, fair value gaps, market profile highs/lows). Practical Tips for Maximum Edge Anchor Period: '1D' for regular session trading (resets at 00:00 exchange time). Use '1W' for weekly bias or '4H' for London/NY session-specific flow. Lower Timeframe Delta: Enable custom and set to '1' or '3' for maximum granularity on indices. Leave disabled on higher charts for smoother read. Absorption Tuning: Raise threshold to 80–90 on volatile instruments (NQ) to filter noise; lower to 70 on quieter ones (CL, GC). Divergences: Most powerful on 15M+. Disable hidden on very low TFs if too noisy. Alerts: Use the master “Any Event” alert for push/email/webhook notifications of zero crosses or new extremes — perfect for mobile monitoring. Combination Tools: Pair with session VWAP, volume profile (fixed range at highs/lows), or psychological levels for triple confluence.
Indicador Pine Script®
por Manifesting_Gains
4
Fabio-Style Order Flow SystemFabio-Style Order Flow System — LVN • Delta • Big Trades • FVG • Order Blocks • Liquidity • Volume Profile This indicator brings together all major components of Fabio Valentino’s order-flow strategy in one unified tool. It visualizes where smart money is active, where inefficiencies form, and where price is likely to react next. 🔍 FEATURES 1. Order Flow & Delta Smoothed delta to show true market imbalance Background color shifts to bullish/bearish delta dominance Alerts for delta spikes & order-flow flips 2. Big Trade Detection Highlights Big Buy and Big Sell prints (relative to average volume) Helps identify institutional aggression on both sides 3. Low Volume Nodes (LVNs) Automatically detects low-volume zones Flags retests of LVNs for high-probability reactions Uses dynamic volume thresholds for accuracy 4. Volume Profile (Lightweight) Bucket-based intrabar profile across user-defined lookback Highlights volume distribution without heavy TradingView CPU load Auto-scales bucket density & transparency 5. Fair Value Gaps (FVGs) Detects both bullish & bearish three-bar imbalances Marks gaps visually using colored boxes Updates dynamically with a user-set lookback 6. Order Blocks (OBs) Identifies valid displacement bars and their origin OB Plots clean, minimalist rectangles around key OB zones Uses ATR-based impulse filtering 7. Liquidity Grabs Detects wick-based liquidity sweeps Highlights both equal high/low and stop-run type wicks Useful for spotting reversals & trap setups 8. Strategy Dashboard Shows real-time order flow state Displays delta strength, big trades, LVNs, and last directional impulse Auto-positions in all corners 🎯 PERFECT FOR Traders who use: Order Flow Smart Money Concepts (SMC) ICT / FVG / Liquidity models Market Structure + Volume Fabio Valentino-style analysis ⚙️ PERFORMANCE All elements optimized Uses automatic box-clearing to avoid array overload Works on all timeframes & markets (crypto, FX, indices, stocks)
Indicador Pine Script®
por SaaETH
SRD SRD v11 - Multi-Timeframe Volume Profile (POC, VAH, VAL) Key Features Dual Timeframe Analysis: 📈 Main Analysis (Daily): Calculates and displays the most significant levels based on a user-defined period of daily bars. This is ideal for identifying intraday and short-term trading opportunities. 📊 Strategic Analysis (Weekly): Plots key levels from a weekly perspective, giving you a broader, long-term view of market sentiment and structure. This can be toggled on or off. Volume Profile Core Levels: The indicator automatically calculates and visualizes the three most important levels derived from volume analysis for both timeframes: 🎯 POC (Point of Control): The price level with the highest traded volume for the specified period. It acts as a powerful magnet for price and a key reference for market equilibrium. 🔴 VAH (Value Area High): The highest price level within the "Value Area" (where ~70% of the volume was traded). It often acts as a significant resistance zone. 🟢 VAL (Value Area Low): The lowest price level within the Value Area. It often serves as a strong support zone. 🟠 24-Hour High: An optional feature that plots the highest price reached in the last 24 hours, providing a crucial reference point for breakout and reversal traders. Dynamic and Non-Repainting: The levels are calculated based on historical confirmed bars and update automatically as new periods (daily or weekly) close. The lines extend to the right, remaining relevant until a new calculation period begins. Integrated Alert System: Never miss a key price interaction. The indicator includes a comprehensive alert system for: Breakouts: Triggers when the price crosses above or below the POC, VAH, or VAL. Touches: Triggers when the price touches one of these key levels without breaking through it (within a small tolerance). Unified Alert: A single alert that notifies you of any of the above conditions. Customization The SRD v11 is fully customizable to fit your trading style. You can adjust: Timeframes: Change the base timeframes for both the main (default Daily) and strategic (default Weekly) analysis. Analysis Periods: Define the number of bars (days or weeks) to include in the Volume Profile calculation. Visuals: Customize the color, width, and style (solid, dashed, dotted) of every line and label for clear and intuitive visualization. Toggle Elements: Easily show or hide the strategic (weekly) analysis and the 24-hour high line. How to Use It > Identify Key Zones: Use the VAH (resistance) and VAL (support) lines to identify potential entry and exit zones. The area between VAH and VAL is the "Value Area," where the market has found acceptance. Monitor the POC: The Point of Control is the ultimate level of equilibrium. Watch for price reactions around the POC. A sustained break above or below can signal a new trend. Combine Timeframes: Use the strategic (weekly) levels as major, long-term points of interest and the main (daily) levels for your day-to-day trading setup. Confluence between levels from different timeframes can indicate extremely strong support or resistance. Set Alerts: Configure alerts for breakouts or touches to be notified of critical market movements in real-time, even when you are away from the charts.
Indicador Pine Script®
por brunomachado788