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פרופיל ווליום Volume Profile

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.
אינדיקטור Pine Script®
מאת ‎BOSWaves‎
2
Volume Cluster Profile [VCP] (Zeiierman)█ Overview Volume Cluster Profile (Zeiierman) is a volume profile tool that builds cluster-enhanced volume-by-price maps for both the current market window and prior swing segments. Instead of treating the profile as a raw histogram only, VCP detects the dominant volume peaks (clusters) inside the profile, then uses a Gaussian spread model to “radiate” those peaks into surrounding price bins. This produces a smoother, more context-aware profile that highlights where volume is most meaningfully concentrated, not just where it happened to print. On top of the live profile, VCP automatically records historical swing profiles between pivots, wraps each segment for clarity, and can project the most recent segment’s High/Low Value extensions (VA/LV) forward to the current bar to keep key structure visible as price evolves. █ How It Works ⚪ 1) Profile Construction (Volume-by-Price) VCP builds a volume profile histogram over a chosen window (current lookback, or a swing segment): Range Scan The script finds the full min → max price range inside the window. Bin the Range That range is divided into a user-defined number of Price Bins (rows). More bins = finer detail, but heavier computation. Accumulate Volume into Bins For each bar inside the window, the script takes the bar’s close price, determines which price bin it belongs to, and adds the bar’s volume to that bin. float step = (maxPrice - minPrice) / binsCount for i = 0 to barsToUse - 1 int b = f_clamp(int(math.floor((close - minPrice) / step)), 0, binsCount - 1) volBins += volume Result: volBins becomes a standard volume-by-price histogram (close-based binning). ⚪ 2) Cluster Detection (Finding Dominant Peaks) Once the raw histogram is built, VCP identifies cluster centers as the most meaningful volume “hills”: Local Peak Test A bin becomes a cluster candidate if its volume is greater than or equal to its immediate neighbors (left/right). Filter Weak Peaks Peaks must also be above a basic activity threshold (relative to the average bin volume) to avoid noise. bool isPeak = v >= left and v >= right if isPeak and v > avgVol array.push(clusterIdxs, b) Keep the Best Peaks Only If too many peaks exist, the script keeps only the strongest ones, capped by: Max Cluster Centers Result: clusterIdxs = the set of dominant profile peaks (cluster centers). ⚪ 3) Cluster Enhancement (Gaussian Spread Model) This is what makes VCP different from a raw profile. Instead of using volBins directly, the script builds an enhanced profile where each cluster center influences nearby price bins using a Gaussian curve: Distance from each bin to each cluster center is computed in “bin units” A Gaussian weight is applied so that bins near the center receive stronger influence, while bins farther away decay smoothly. Cluster Spread (sigma) controls how wide this influence reaches: low sigma produces tight, sharp clusters, while high sigma results in wider, smoother structure zones. enhanced += centerV * math.exp(-(dist*dist) / (2.0 * clusterSigma * clusterSigma)) volBinsAI := enhanced / szClFinal Result: volBinsAI = the cluster-enhanced volume value for each bin. In practice, VCP turns the profile into a structure map of dominant volume concentrations, rather than a simple “where volume printed” histogram. ⚪ 4) POC from the Enhanced Profile After enhancement: The bin with the highest volBinsAI becomes the POC (Point of Control) POC is plotted at the midpoint price of that bin if volBinsAI > maxVol maxVol := volBinsAI , pocBin := b So the POC reflects the cluster-enhanced profile rather than the raw histogram. █ How to Use ⚪ Read Cluster Structure (Default = 2 Clusters) By default, the Volume Cluster Profile (VCP) is configured to detect up to 2 dominant volume clusters within the profile. These clusters represent price zones where the market accepted trading activity, not just where volume printed randomly. ⚪ When TWO Clusters Appear When VCP detects two distinct clusters, it usually indicates: Two competing areas of value Ongoing auction between higher and lower acceptance zones Treat each cluster as an acceptance zone Expect slower price action and rotation inside clusters Expect faster movement in the low-volume space between clusters Use cluster-to-cluster movement as: rotation targets range boundaries acceptance vs rejection tests Typical behavior: Price enters a cluster → stalls, consolidates, rotates Price rejects at cluster edge → moves toward the opposite cluster ⚪ When ONLY ONE Cluster Appears If VCP detects only one cluster, or if two clusters visually merge into one: Volume is no longer split The market has formed a single dominant value area Price consensus is strong Treat the cluster as the primary value anchor Expect pullbacks and reactions around this zone Bias becomes directional: Above the cluster → bullish context Below the cluster → bearish context Inside the cluster → balance/chop This structure often appears during clean trends or stable equilibria. ⚪ VA/LV Extensions VCP projects two zones from the end of the most recent swing segment: VA extension = the segment’s highest enhanced-volume bin (dominant zone) LV extension = the segment’s lowest enhanced-volume bin (thin/weak zone) A breakout of the VA extension signals acceptance and potential continuation. A retest of the VA or LV extension is used to confirm acceptance or rejection, while rejection from either zone often leads to rotation back toward value. █ Settings Cluster Volume Profile Lookback Bars – how many recent bars build the current profile Price Bins – profile resolution (more bins = more detail, heavier CPU) Cluster Spread – Gaussian sigma; higher values widen/smooth cluster influence Max Cluster Centers – cap on detected peaks used in enhancement Historical Swing Cluster Volume Profile Pivot Length – swing sensitivity (larger = fewer, broader segments) Max Profiles – how many historical segments to retain Profile Width – thickness of each historical profile High & Low Value Area Profile VA/LV – extend the last segment’s top-bin and low-bin zones forward ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
אינדיקטור Pine Script®
מאת ‎Zeiierman‎
3
deKoder | Whale Prints [WP]deKoder | Whale Prints | Large Trade Orderflow Detection This open-source indicator is a clean, precision tool for revealing hidden large-volume activity directly on your chart. By scanning ultra-low timeframes while you view higher ones, it projects statistically significant volume spikes as intuitive markers giving you a clear window into institutional orderflow without visually overwhelming the price action. Key Features & Strengths True Intra-Bar Detection | Monitors lower timeframes down to 1-second bars, catching aggressive block trades and absorption that occur within a single higher-TF candle. Accurate Trade Levels | Markers are placed at the actual hl2 price of the aggressive lower-TF bar, providing a far more accurate estimate of where the large trade executed than typical mid-candle approximations. Multiple Trades Per Bar | If several significant volume spikes occur inside one higher-TF candle, all qualifying levels are displayed individually – offering greater granularity and context. Adaptive Thresholding | Uses higher-TF volume standard deviation (stable baseline) intelligently scaled to the lower timeframe, reducing noise in quiet markets while remaining sensitive to genuine outliers. Clean Visual Hierarchy | Three tiers (Small 🞉 / Medium ⏣ / Large 🞊) with dynamic symbol size, line thickness, transparency, and user-definable bullish/bearish coloring based on LTF candle direction. How to Use It as an Orderflow Tool Large volume spikes often mark the footprints of institutional players. This indicator helps you read those footprints in real time. Small (🞉) | Moderate excess volume: early interest, probing, or building positions. Medium (⏣) | Strong spike: increasing conviction, potential momentum shift. Large (🞊) | Extreme outlier: frequently climactic volume signalling exhaustion or major absorption. Why Price Often Reverses at These Levels Large players frequently place limit orders in areas rich with liquidity – commonly just beyond recent highs/lows where retail stop-losses cluster. When price sweeps those zones: Stop hunts trigger a cascade of forced exits, creating liquidity for larger participants to fill their limit orders. Breakout traders who entered on the move are trapped offside and become forced buyers/sellers when price reverses. Institutions use this liquidity to execute large orders at favorable prices with minimal immediate market impact. The result is aggressive volume at the extreme, followed by reversal as smart money finishes filling and price returns toward fair value. Clusters of medium/large markers at swing points are classic signs of this dynamic. Practical Analysis Tips Reversals/Absorption | Clusters of large markers at swing highs/lows (especially opposing-color spikes) signal potential turns – buyers or sellers stepping in aggressively. Level Defense | Trades piling up at key support/resistance suggest institutions protecting or building positions. Trapped Traders | Large spikes beyond range pivots followed by reversal back into the range often highlight trapped breakout traders who add fuel to a move when they are forced to liquidate their positions. Use Offset (-3 to +3) to shift markers away from current price for clearer viewing. Pro tip: Zoom into the lower TF occasionally to see how these projected levels align exactly with aggressive candles. Recommended Pairings This is designed as a pure orderflow overlay to be layered with your existing setup: Support & Resistance (horizontals, pivots, Volume Profile POC/VAH/VAL) Market Structure tools (swing points, order blocks, fair value gaps) Trend filters (EMAs, SuperTrend, higher-TF bias) Momentum oscillators for timing confluence Best Suited For Scalping & day trading (1–15 min charts with 5–30S lower TF) Swing trading entries (1H–4H charts with 1–5 min lower TF) High-liquidity markets: crypto perpetuals, forex majors, volatile stocks Add this indicator to start seeing the hidden aggression driving price and expose the hidden edges beyond the noise. ☠ FR33FA11 | deKoder ☠ Released January 2025 | Open Source
אינדיקטור Pine Script®
מאת ‎FR33FA11‎
3
Black-Scholes Gamma Scalping Strategy# Black-Scholes Gamma Scalping Strategy ## Overview This strategy applies options market-making principles to spot/futures trading using the Black-Scholes pricing model. It simulates the behavior of a delta-hedged straddle position, generating buy and sell signals based on how a market maker would hedge their gamma exposure. --- ## The Concept: Gamma Scalping Professional options traders who hold long straddles (long call + long put at the same strike) profit when the underlying moves significantly in either direction. Here's why: - A straddle has **positive gamma**, meaning its delta increases as price rises and decreases as price falls - To stay delta-neutral, traders must **buy after dips** and **sell after rallies** - If **realized volatility > implied volatility**, the profits from these hedging trades exceed the daily theta (time decay) cost This strategy captures that edge by: 1. Calculating theoretical Greeks using Black-Scholes 2. Monitoring when delta deviates from neutral 3. Trading to "hedge" back to neutral — buying weakness, selling strength --- ## Black-Scholes Greeks Calculated | Greek | Symbol | What It Measures | |-------|--------|------------------| | Delta | Δ | Directional exposure | | Gamma | Γ | Rate of delta change | | Vega | ν | Sensitivity to volatility | | Theta | Θ | Time decay per day | All Greeks are calculated in real-time using the standard Black-Scholes formula with configurable inputs for strike, expiration, implied volatility, and risk-free rate. --- ## Entry Signals **Long Entry** (buy the underlying): - Price drops significantly (gamma scalp trigger), OR - Straddle delta falls below the lower hedge band - Volatility filter confirms favorable regime (HV > IV) **Short Entry** (sell the underlying): - Price rises significantly (gamma scalp trigger), OR - Straddle delta rises above the upper hedge band - Volatility filter confirms favorable regime --- ## Volatility Regime Filter The strategy compares **Historical Volatility (HV)** to **Implied Volatility (IV)**: - **HV/IV > 1.2** → Long volatility regime (gamma scalping profitable) → Trading enabled - **HV/IV < 0.8** → Short volatility regime (theta wins) → Trading paused or reversed - **Between** → Neutral, proceed with caution This filter helps avoid trading when market conditions don't favor the strategy. --- ## Key Inputs **Option Parameters:** - Strike Offset % — Distance from ATM (0 = at-the-money) - Days to Expiration — Synthetic option tenor (affects gamma magnitude) - Implied Volatility — Your estimate of fair IV - Risk-Free Rate — For BS calculation **Trading Parameters:** - Gamma Scalp Threshold — ATR multiple to trigger trades - Delta Hedge Band % — How far delta must deviate to signal - Volatility Regime Filter — Enable/disable HV/IV filter **Risk Management:** - Stop Loss / Take Profit (ATR multiples) - Max Drawdown % — Pauses trading if exceeded - Max Concurrent Positions --- ## How to Use 1. **Set Implied Volatility** to match current market IV (check options chain or VIX for reference) 2. **Adjust Days to Expiration** — Shorter = higher gamma, more signals; Longer = smoother 3. **Tune the Hedge Band** — Tighter bands = more trades; Wider = fewer, larger moves 4. **Enable Volatility Filter** for trend-following vol regimes, disable for pure mean-reversion **Best suited for:** - Range-bound or choppy markets - High realized volatility environments - Liquid instruments with tight spreads **Avoid using when:** - Strong directional trends (gamma scalping loses to delta) - Volatility is collapsing - Low liquidity / wide spreads --- ## Information Table The on-chart table displays real-time: - Current strike price - Straddle Delta, Gamma, Vega, Theta - Historical vs Implied Volatility - HV/IV Ratio - Current volatility regime --- ## Alerts Built-in alert conditions for: - Long entry signals - Short entry signals - Max drawdown protection triggered --- ## Disclaimer This strategy is provided for **educational purposes only**. It demonstrates how Black-Scholes option pricing theory can be applied to generate trading signals. - Past performance does not guarantee future results - Backtest results may not reflect live trading conditions - Always use proper position sizing and risk management - Paper trade extensively before using real capital **No financial advice is given or implied.** --- ## Credits Based on the Black-Scholes-Merton option pricing model (1973) and gamma scalping techniques used by professional options market makers. --- *If you find this useful, please leave a like or comment. Suggestions for improvements are welcome!*
אסטרטגיית Pine Script®
מאת ‎DrRRRKopp‎
VRVP Clone + Multi-POC -- PerroGordoVRVP Clone + Multi-POC Overview VRVP Clone + Multi-POC replicates TradingView's native Visible Range Volume Profile with several practical enhancements. The indicator displays volume distribution across price levels for the visible chart range, which is useful for identifying high-volume nodes, support/resistance zones, and areas of price acceptance. The main differentiator from the built-in VRVP is support for multiple Point of Control (POC) lines with an intelligent peak detection algorithm. Instead of just showing the single highest-volume level, you can identify distinct volume clusters across different price zones. Features Dynamic Visible Range Recalculates automatically on scroll or zoom Analyzes only visible bars Profile width scales proportionally to view Multiple POC Detection (1-8 levels) Volume Nodes Mode: Peak detection algorithm finds local volume maxima across distinct price clusters Highest Rows Mode: Traditional approach - top N rows by raw volume Configurable minimum separation between nodes to prevent bunching Individual colors for each POC level Volume Display Modes Up/Down: Split bars showing buy vs. sell volume with black outlines for visual separation Total: Single bar colored by dominant direction Delta: Net volume (buy minus sell) Delta Intensity: Gradient coloring indicating buyer/seller dominance strength per row Value Area Configurable percentage (default 70%) VAH and VAL lines with customizable styles Separate colors for volume inside vs. outside the Value Area Positioning Options Left or Right placement Adjustable profile width as percentage of visible range Row configuration via "Number of Rows" or "Ticks Per Row" Additional Features Statistics table showing bars analyzed, total volume, up/down percentages, price vs POC POC price labels on chart Line style options (Solid, Dashed, Dotted) +++++ How It Works Volume from each bar is distributed across price rows based on the bar's high-low range. The allocation is proportional - if a bar spans 3 rows with 60% overlap on one row, that row receives 60% of the bar's volume. Volume Nodes Mode identifies local peaks in the distribution (rows where volume exceeds both neighbors), then selects the highest peaks while enforcing minimum separation. This surfaces distinct support/resistance clusters rather than stacking all POC lines in a single high-volume area. +++++ Settings Inputs Setting - Description Rows Layout - "Number of Rows" or "Ticks Per Row" Row Size - Number of rows (24-200) or ticks per row Volume - "Up/Down", "Total", "Delta", or source selection Value Area % - Percentage of volume for Value Area (default 70%) Profile Width % - Width as percentage of visible bars Placement - "Right" or "Left" side of chart Enhancements Setting - Description Number of POCs | 1-8 POC lines | POC Mode - "Volume Nodes" (peak detection) or "Highest Rows" (traditional) Min Node Separation - Minimum rows between nodes (0 = auto-calculate) Delta Intensity Mode - Gradient coloring by dominance Show Stats Table - Display analysis statistics Style Setting - Description Up/Down Volume Colors - Buy/sell volume colors Value Area Colors - Colors for VA regions POC/VAH/VAL Colors - Line colors and styles POC 2-8 Colors - Colors for additional POC levels +++++ Applications Support/Resistance Identification High-volume nodes tend to act as price magnets. Multiple POCs reveal layered S/R zones that aren't visible with a single POC. Fair Value Reference The Value Area represents where 70% of volume traded. Price tends to revert to this zone. Volume Gap Analysis Low-volume areas between POCs indicate prices that were rejected quickly - potential breakout or breakdown levels. Market Structure Multiple POCs across price levels show where the market has found acceptance, useful for distinguishing range-bound conditions from trending moves. +++++ Practical Notes Volume Nodes mode with 3-5 POCs works well for identifying distinct S/R clusters Higher row counts give more granular analysis on lower timeframes Delta Intensity mode quickly shows buyer/seller dominance at each level without the visual noise of split bars If POCs are too clustered, increase Min Node Separation; if too spread out, decrease it or set to 0 for auto The stats table vs POC comparison is useful for quick directional bias assessment +++++ Requirements Any instrument with volume data Works well on futures, forex, and liquid equities Pine Script v6 +++++ Version History v1.1 - Added Volume Nodes mode with peak detection - Expanded to 8 POC levels - Added Min Node Separation setting - Fixed POC label positioning for left placement - Added black outlines to Up/Down volume bars v1.0 - Initial release replicating VRVP with multi-POC enhancement - Delta Intensity mode - Statistics table
אינדיקטור Pine Script®
מאת ‎PerroGordo‎
VPH - Volume Profile Heatmap (Visible Prices) [Da_Prof]The Volume Profile Heatmap (VPH) indicator is a dynamic volume visualization tool. Unlike traditional Volume Profiles that aggregate all historical data within a range, VPH focuses on recent price action. Specifically, it only considers the volume of the most recent time price touched a level. Additionally, it displays the volume as a heatmap where color intensity directly translates to volume density at specific price levels (as a percentage of the volume range). What makes the VPH different than other volume profile indicators is its exclusion logic. If a high-volume node was created in the past, but the price has since crossed back through that level, the indicator disregards the previous volume. Therefore, it prioritizes the most recent market participants at any given price level. This is particularly useful for identifying: 1) Fresh Support/Resistance: Levels where volume has accumulated recently without being invalidated by a price cross-through. 2) Real-time Liquidity: Seeing exactly where the supply and demand reside in the current market structure in terms of volume transacted for the particular asset. Main Features: 1) Dynamic Heatmap: Uses a multi-stage blue color gradient to represent volume intensity. Brighter, more vibrant cyan indicates high-volume nodes, while deep blues represent lower-activity zones. These default colors are best viewed on a black background. The colors can be customized through the settings. 2) Visible Range Scaling: The indicator automatically calculates the High and Low of your current screen view and adjusts the heatmap rows to fit perfectly within your visible window. Note: Ensure the indicator is pinned to the appropriate scale (likely the right scale). If the profile appears to not move when moving the chart, right click on the indicator and select the "pin to scale" to pin it to the appropriate scale. 3) Adjustable Resolution: Use the Number of Profile Bars input to increase the "granularity" of the heatmap (up to 400 rows). 4) Volume Thresholding: The Minimum Volume to Plot setting allows you to filter out "noise," showing only the price levels where significant market commitment occurred. The default is set at 50% of the range maximum. How to use: 1) Identify high volume nodes: Look for the brightest cyan boxes. These represent price levels where the most recent heavy trading occurred. These areas are more likely to create a price reaction. 2) Spot thinly traded areas: Darker or empty areas indicate "low volume Nodes," where price moved quickly through. These often act as "vacuum" zones where price might travel through rapidly in the future. 3) Scroll & zoom to get the exact window of price action: The indicator is fully reactive. As you move your chart, it recalculates the heatmap based on the visible bars to provide a localized view of the current auction. This allows back testing of the indicator without using the "Replay" feature. Just put the historical price action you are interested in on your screen and the indicator will calculate the volume profile.
אינדיקטור Pine Script®
מאת ‎Da_Prof‎
1
CVD Zones & Divergence [Pro]# CVD Zones & Divergence **Complete CVD order flow toolkit** - Divergences, POC, Profile, and Supply/Demand zones all in one professional indicator. ## 🎯 What It Does Combines **four powerful order flow tools** into a single, cohesive indicator: 1. **CVD Divergences** - Early warnings + confirmed signals 2. **Point of Control (POC)** - Fair value equilibrium line 3. **CVD Profile** - Visual distribution histogram 4. **Supply/Demand Zones** - Real absorption-based S/R levels All based on **Cumulative Volume Delta (CVD)** - actual buying/selling pressure, not approximations. ## ✨ Key Features ### 🔄 CVD Divergences (Dual Mode) **Confirmed Divergences** (High Accuracy) - Solid lines (customizable colors) - 🔻 Bear / 🔺 Bull labels - Win rate: ~70-80% - Best for swing traders **Early Warning Mode** ⚡ (Fast Signals) - Dashed lines (default purple) - ⚠️ Early Bear / ⚠️ Early Bull labels - Fires 6+ bars earlier - Win rate: ~55-65% - Best for scalpers/day traders ### 🎯 Point of Control (POC) - **Independent lookback** (300 bars default) - Yellow line showing fair value - Where most CVD activity occurred - Acts as dynamic support/resistance - Resets and recalculates continuously ### 📊 CVD Profile Histogram - **Visual CVD distribution** over lookback period - **Split buy/sell** (blue/orange bars) - **Value Area** (70% CVD zone highlighted) - Position: Right/Left/Current (your choice) - Shows where actual order flow happened ### 📦 Supply/Demand Zones - **Absorption-based** detection (not guesses!) - Green = Demand (buyers absorbed 2:1+) - Red = Supply (sellers absorbed 2:1+) - Shows **real** institutional levels - Auto-sorted by strength - Displays top 8 zones ## 📊 What You See on Chart ``` Your Chart: ├─ 🔴 Red lines (bearish divergences) ├─ 🟢 Green lines (bullish divergences) ├─ 🟣 Purple dashed (early warnings) ├─ 🟡 Yellow POC line (fair value) ├─ 📊 Blue/Orange profile (right side) ├─ 🟢 Green boxes (demand zones) └─ 🔴 Red boxes (supply zones) ``` ## ⚙️ Recommended Settings ### 15m Day Trading (Most Popular) ``` 📊 Profile: - Lookback: 150 bars - Profile Rows: 24 - Position: Right 🎯 POC: - POC Lookback: 300 bars - Show POC: ON 📦 Zones: - Min Absorption Ratio: 2.0 - HVN Threshold: 1.5 - Max Zones: 8 🔄 Divergences: - Pivot L/R: 9 - Early Warning: ON - Early Right Bars: 3 - Min Bars Between: 40 - Min CVD Diff: 5% ``` ### 5m Scalping ``` Profile Lookback: 100 POC Lookback: 200 Pivot L/R: 7 Early Warning Right: 2 Min Bars Between: 60 ``` ### 1H Swing Trading ``` Profile Lookback: 200 POC Lookback: 400-500 Pivot L/R: 12-14 Early Warning Right: 4-5 Min Bars Between: 30 Min CVD Diff: 8% ``` ## 💡 How to Trade ### Setup 1: Divergence at Zone ⭐ (BEST - 75%+ win rate) **Entry:** - Price hits demand/supply zone - Divergence appears (early or confirmed) - Double confluence = high probability **Example (Long):** ``` 1. Price drops into green demand zone 2. ⚠️ Early bullish divergence fires 3. Enter long with tight stop below zone 4. Target: POC or next supply zone ``` **Risk/Reward:** 1:3 to 1:5 --- ### Setup 2: POC Bounce/Rejection **Entry:** - Price approaches POC line - Wait for reaction (bounce or rejection) - Enter in direction of reaction **Long Setup:** ``` 1. Price pulls back to POC from above 2. POC acts as support 3. Bullish divergence appears (confirmation) 4. Enter long, stop below POC ``` **Short Setup:** ``` 1. Price rallies to POC from below 2. POC acts as resistance 3. Bearish divergence appears 4. Enter short, stop above POC ``` **Risk/Reward:** 1:2 to 1:4 --- ### Setup 3: Zone + Profile Confluence **Entry:** - Supply/demand zone aligns with thick profile bar - Shows high CVD activity at that level - Triple confluence = very high probability **Example:** ``` 1. Supply zone at 26,100 2. Profile shows heavy selling at 26,100 3. Price rallies to 26,100 4. Bearish divergence appears 5. Enter short ``` **Risk/Reward:** 1:4 to 1:6 --- ### Setup 4: Early Warning Scalp ⚡ **Entry (Aggressive):** - ⚠️ Early warning fires - Price at zone or POC - Enter immediately - Tight stop (1-2 ATR) **Management:** ``` - Take 50% profit at 1:1 - Move stop to breakeven - 🔻 Confirmed signal → Trail stop - Exit rest at target ``` **Risk/Reward:** 1:1.5 to 1:2 **Trades/day:** 3-8 --- ### Setup 5: Multi-Timeframe (Advanced) **Confirmation Required:** ``` Higher TF (1H): - Confirmed divergence - At major POC or zone Lower TF (15m): - Early warning triggers - Entry with better timing ``` **Benefits:** - HTF gives direction - LTF gives entry - Best of both worlds **Risk/Reward:** 1:3 to 1:5 --- ## 📊 Component Details ### CVD Profile **What the colors mean:** - **Blue bars** = Buying CVD (demand) - **Orange bars** = Selling CVD (supply) - **Lighter shade** = Value Area (70% CVD) - **Thicker bar** = More volume at that price **How to use:** - Thick bars = Support/Resistance - Profile shape shows market structure - Balanced profile = range - Skewed profile = trend --- ### Supply/Demand Zones **How they're detected:** 1. High Volume Node (1.5x average) 2. CVD buy/sell ratio calculated 3. Ratio ≥ 2.0 → Zone created 4. Sorted by strength (top 8 shown) **Zone labels show:** - Type: "Demand" or "Supply" - Ratio: "2.8:1" = strength **Not like other indicators:** - ❌ Other tools use price action alone - ✅ This uses actual CVD absorption - Shows WHERE limit orders defended levels --- ### Point of Control (POC) **What it shows:** - Price with highest CVD activity - Market's "fair value" - Dynamic S/R level **How to use:** - Price above POC = bullish bias - Price below POC = bearish bias - POC retest = trading opportunity - POC cross = trend change signal **Independent lookback:** - Profile: 150 bars (short-term) - POC: 300 bars (longer-term context) - Gives stable, relevant POC --- ## 🔧 Settings Explained ### 📊 Profile Settings **Lookback Bars** (150 default) - How many bars for profile calculation - Lower = more recent, reactive - Higher = more historical, stable **Profile Rows** (24 default) - Granularity of distribution - Lower = coarser (faster) - Higher = finer detail (slower) **Profile Position** - Right: After current price - Left: Before lookback period - Current: At lookback start **Value Area** (70% default) - Highlights main CVD concentration - 70% is standard - Higher % = wider zone --- ### 🎯 POC Settings **POC Lookback** (300 default) - Independent from profile - Longer = more stable POC - Shorter = more reactive POC **Show POC Line/Label** - Toggle visibility - Customize color/width --- ### 📦 Zone Settings **Min Absorption Ratio** (2.0 default) - Buy/Sell threshold for zones - 2.0 = 2:1 ratio minimum - Higher = fewer, stronger zones **HVN Threshold** (1.5 default) - Volume must be 1.5x average - Higher = stricter filtering - Lower = more zones **Max Zones** (8 default) - Limits display clutter - Shows strongest N zones only --- ### 🔄 Divergence Settings **Pivot Left/Right** (9/9 default) - Bars to confirm pivot - Higher = slower, more confirmed - Lower = faster, less confirmed **Early Warning** - ON = Show early signals - Early Right Bars (3 default) - 3 = 6 bars faster than confirmed **Filters:** - Min Bars Between (40): Prevents spam - Min CVD Diff % (5): Filters weak signals **Visual:** - Line styles: Solid/Dashed/Dotted - Colors: Customize all 4 types - Labels: Toggle ON/OFF --- ## 🎨 Color Customization **Divergences:** - Bullish Confirmed: Green (default) - Bearish Confirmed: Red (default) - Early Bullish: Purple (default) - Early Bearish: Purple (default) **Zones & Profile:** - Bull/Demand: Green - Bear/Supply: Red - Buy CVD Profile: Blue - Sell CVD Profile: Orange - Value Area Up/Down: Lighter blue/orange **POC:** - POC Color: Yellow (default) All customizable to your preference! --- ## 🔔 Alerts Available **6 Alert Types:** 1. 🔻 Bearish Divergence (confirmed) 2. 🔺 Bullish Divergence (confirmed) 3. ⚠️ Early Bearish Warning 4. ⚠️ Early Bullish Warning 5. (Manual: POC cross) 6. (Manual: Zone touch) **Setup:** 1. Click Alert (⏰) 2. Choose "CVD Zones & Divergence" 3. Select alert type 4. Configure notification 5. Create! --- ## 💎 Pro Tips ### From Experienced Traders: **"Use zones with divergences for best setups"** - Zone alone: 60% win rate - Divergence alone: 65% win rate - Both together: 75%+ win rate **"POC is your friend"** - Price tends to revert to POC - Great target for counter-trend trades - POC cross = potential trend change **"Profile tells the story"** - Thick bars = institutional levels - Balanced profile = range-bound - Skewed high = distribution (top) - Skewed low = accumulation (bottom) **"Early warnings for entries, confirmed for confidence"** - Early = better entry price - Confirmed = validation - Use both in scale-in strategy **"Filter by timeframe"** - 1m-5m: Very fast, many signals - 15m: Sweet spot for most traders - 1H-4H: High quality, fewer signals --- ## 🔧 Tuning Guide ### Too Cluttered? **Simplify:** ``` ✅ Show Divergences: ON ✅ Show POC: ON ❌ Show Zones: OFF (or reduce to 4-5) ❌ Show Value Area: OFF ❌ Divergence Labels: OFF → Clean chart with just lines + POC ``` ### Missing Opportunities? **More Signals:** ``` ↓ Pivot Right: 6-7 ↓ Early Warning Right: 2 ↓ Min Bars Between: 25-30 ↓ Min CVD Diff: 2-3% ↓ Min Absorption Ratio: 1.8 ``` ### Too Many False Signals? **Stricter Filters:** ``` ↑ Pivot Right: 12-15 ↑ Min Bars Between: 60 ↑ Min CVD Diff: 8-10% ↑ Min Absorption Ratio: 2.5 ↓ Max Zones: 4-5 ``` ### POC Not Making Sense? **Adjust POC Lookback:** ``` If too high: Increase to 400-500 If too low: Increase to 400-500 If jumping around: Increase to 500+ → Longer lookback = more stable POC ``` --- ## ❓ FAQ **Q: Difference from CVD Divergence (standalone)?** A: This is the **complete package**: - Divergence tool = divergences only - This = divergences + POC + profile + zones - Use divergence tool for clean charts - Use this for full analysis **Q: Too slow/laggy?** A: Reduce computational load: ``` Profile Rows: 18 (from 24) Lookback: 100 (from 150) Max Zones: 5 (from 8) ``` **Q: No volume data error?** A: Symbol has no volume - Works: Futures, stocks, crypto - Maybe: Forex (broker-dependent) - Doesn't work: Some forex pairs **Q: Can I use just some features?** A: Absolutely! Toggle what you want: ``` Zones only: Turn off divergences + POC POC only: Turn off zones + divergences Divergences only: Turn off zones + POC + profile Mix and match as needed! ``` **Q: Best timeframe?** A: - **1m-5m**: Scalping (busy, many signals) - **15m**: Day trading ⭐ (recommended) - **1H-4H**: Swing trading (quality signals) - **Daily**: Position trading (very selective) **Q: Works on crypto/forex/stocks?** A: - ✅ Futures: Excellent - ✅ Stocks: Excellent - ✅ Crypto: Very good (major pairs) - ⚠️ Forex: Depends on broker volume --- ## 📈 Performance Expectations ### Realistic Win Rates | Strategy | Win Rate | Avg R/R | Trades/Week | |----------|----------|---------|-------------| | Early warnings only | 55-65% | 1:1.5 | 15-30 | | Confirmed only | 70-80% | 1:2 | 8-15 | | Divergence + Zone | 75-85% | 1:3 | 5-12 | | Full confluence (all 4) | 80-90% | 1:4+ | 3-8 | **Keys to success:** - Don't trade every signal - Wait for confluence - Proper risk management - Trade what you see, not what you think --- ## 🚀 Quick Start **New User (5 minutes):** 1. ✅ Add to 15m chart 2. ✅ Default settings work well 3. ✅ Watch for 1 week (don't trade yet!) 4. ✅ Note which setups work best 5. ✅ Backtest on 50+ signals 6. ✅ Start with small size 7. ✅ Scale up slowly **First Trade Checklist:** - Divergence + Zone/POC = confluence - Clear S/R level nearby - Risk/reward minimum 1:2 - Position size = 1% risk max - Stop loss placed - Target identified - Journal entry ready --- ## 📊 What Makes This Special? **Most indicators:** - Use RSI/MACD divergences (lagging) - Guess at S/R zones (subjective) - Don't show actual order flow **This indicator:** - Uses real CVD (actual volume delta) - Absorption-based zones (real orders) - Profile shows distribution (real activity) - POC shows equilibrium (real fair value) - All from one data source (coherent) **Result:** - Everything aligns - No conflicting signals - True order flow analysis - Professional-grade toolkit --- ## 🎯 Trading Philosophy **Remember:** - Indicator shows you WHERE to look - YOU decide whether to trade - Quality over quantity always - Risk management is #1 - Patience beats aggression **Best trades have:** - ✅ Multiple confluences - ✅ Clear risk/reward - ✅ Obvious invalidation point - ✅ Aligned with trend/context **Worst trades have:** - ❌ Single signal only - ❌ Poor location (middle of nowhere) - ❌ Unclear stop placement - ❌ Counter to all context --- ## ⚠️ Risk Disclaimer **Important:** - Past performance ≠ future results - All trading involves risk - Only risk what you can afford to lose - This is a tool, not financial advice - Use proper position sizing - Keep a trading journal - Consider professional advice **Your responsibility:** - Which setups to trade - Position size - Entry/exit timing - Risk management - Emotional control **Success = Tool + Strategy + Discipline + Risk Management** --- ## 📝 Version History **v1.0** - Current Release - CVD divergences (confirmed + early warning) - Point of Control (independent lookback) - CVD profile histogram - Supply/demand absorption zones - Value area visualization - 6 alert types - Full customization --- ## 💬 Community **Questions?** Drop a comment below **Success story?** Share with the community **Feature request?** Let me know **Bug report?** Provide details in comments --- **Happy Trading! 🚀📊** *Professional order flow analysis in one indicator.* **Like this?** ⭐ Follow for more quality tools!
אינדיקטור Pine Script®
מאת ‎kb1ath‎
SVP + candle + Max volume [midst] SVP + DALY CANDLE + MAX VOLUME A comprehensive trading indicator that combines Session Volume Profile (SVP), Higher Timeframe (HTF) Candles, and Intrabar Max Volume Price Detection into one powerful tool. Perfect for traders who want to understand price action, volume distribution, and key levels all in one place. KEY FEATURES Session Volume Profile • Real-time volume distribution across price levels for the current session • Point of Control (POC) - identifies the price with the highest traded volume • Value Area High (VAH) & Low (VAL) - shows where 70% of the volume occurred (customizable percentage) • Color-coded volume bars - distinguish between up volume (bullish) and down volume (bearish) • Value area highlighting - clearly see the most important price zones Higher Timeframe Candle Display • Visual daily (or custom timeframe) candle overlaid on your current chart • OHLC labels - see Open, High, Low, and Close prices clearly marked • Fully customizable colors - separate colors for bullish/bearish bodies, borders, and wicks • Adjustable positioning - move the candle and labels to your preferred location Max Volume Price Detection • Identifies the exact price level with maximum volume within each bar • Uses Lower Timeframe (LTF) data for precise volume analysis (Premium+ required) • Simple mode fallback - works on all TradingView plans • Previous max volume marker - displays previous bar's max volume as a reference dot • Real-time calculation - updates as each bar forms ATR Table • Dynamic ATR-based stop levels - automatically calculates potential stop-loss levels • Multiple smoothing methods - RMA, SMA, EMA, WMA • Customizable multiplier - adjust for your risk tolerance • Clean table display - shows ATR value, high stop, and low stop PERFECT FOR Day traders analyzing intrabar volume distribution Swing traders wanting HTF context on lower timeframes Volume profile traders looking for key support/resistance levels Price action traders seeking high-probability entry zones HOW TO USE Volume Profile Analysis POC often acts as a magnet for price. VAH/VAL are key support/resistance levels. High volume nodes indicate strong price acceptance, while low volume nodes suggest potential breakout zones. HTF Candle Context See daily range while trading on 5m-1h charts. Daily open often acts as pivot point. Daily high/low are key levels to watch. Max Volume Price Black line shows where most volume traded in each bar. Previous max volume (dot) helps identify institutional activity. Clusters of max volume create strong support/resistance. Can possibly indicate a Wick bounce ATR Stops Use ATR-based levels for logical stop placement. Adjust multiplier based on market volatility. SETTINGS & CUSTOMIZATION Positioning Control the global offset to move both candle and profile together. Fine-tune with individual offsets for candle and profile spacing. Volume Profile Adjustable number of rows (50-500) for granular or simplified view. Customizable width and placement (left/right). Value Area percentage control. Full color customization for all volume components. HTF Candle Any timeframe selection (default: Daily). Full color customization for bull/bear candles. Adjustable candle width. Toggle OHLC labels on/off. Control label distance and line widths. Max Volume Price Choose between Simple (all plans) or LTF mode (Premium+). Auto or manual LTF resolution. Custom color and line width. Toggle current and previous markers independently. TECHNICAL NOTES Maximum 5000 bars lookback for volume calculations Works on all timeframes LTF max volume requires TradingView Premium or higher Optimized for performance with efficient array operations For best results, use on liquid instruments with reliable volume data Most effective on intraday charts (5min-1hour) for day trading and scalping strategies For Entertainment and information only Created by midst
אינדיקטור Pine Script®
מאת ‎midst‎
1
SMT Divergence [Kodexius]SMT Divergence is a correlation-based divergence detector built around the Smart Money Technique concept: when two normally correlated instruments should be making similar swing progress, but one prints a new extreme while the other fails to confirm it. This “disagreement” can be a valuable contextual signal around liquidity runs, distribution phases, and potential reversal or continuation points. The script compares the chart symbol (primary) with a user-selected comparison symbol (for example BTC vs ETH, ES vs NQ, EUR/USD vs GBP/USD) and automatically scans both instruments for confirmed swing highs and swing lows using pivot logic. Once swings are established, it checks for classic SMT conditions: Primary makes a new swing extreme while the comparison symbol forms a non-confirming swing . To support a wider range of markets, the indicator includes an Inverse Correlation option for pairs that typically move opposite to each other (for example DXY vs EUR/USD). With this enabled, the divergence rules are logically flipped so that the script still detects “non-confirmation” in a way that is consistent with the pair’s relationship. The indicator is designed to be readable and actionable. It can draw divergence labels directly on the main chart, connect the relevant swing points with lines, show a compact information table with the last signal and settings, and optionally render the comparison symbol as a mini candle chart in the indicator pane for quick visual validation. 🔹 Features 🔸 Two-Symbol SMT Analysis (Primary vs Compare) Select any comparison symbol to evaluate correlation structure and divergence. The script fetches the comparison OHLC data using the current chart timeframe to keep both series aligned for analysis. 🔸 Inverse Correlation Mode For inversely correlated pairs, enable “Inverse Correlation” so the script interprets confirmation appropriately (for example, a higher low on the comparison instrument might be expected to correspond to a lower low on the primary, depending on the relationship). This helps avoid false conclusions when the pair naturally moves opposite. 🔸 Pivot-Based Swing with Adjustable Sensitivity Swings are detected using confirmed pivots (left bars and right bars). This provides cleaner structural swing points compared with raw candle-to-candle comparisons, and it lets you control sensitivity for different market conditions and timeframes. The script also limits stored swing history to keep performance stable. 🔸 Flexible Detection Mode: Time Matched or Independent Swings You can choose how swings are paired across instruments: Time Matched searches for a comparison swing that occurred at the same pivot time as the primary swing. Independent Swings compares each symbol’s own last two swings without requiring an exact time match. 🔸 Range Control and Noise Filtering To reduce weak or irrelevant signals: “Max Bars Between Swings” ensures the two swings being compared are close enough in structure to be meaningful. “Min Price Diff (%)” can require a minimum percentage change between the primary’s last two swing prices to confirm the move is significant. 🔸 Clear Visual Output with Tooltips When a divergence is detected, the script can print a label (“SMT”) with bullish or bearish styling and a tooltip that includes the symbol pair and the primary swing price for quick context. 🔸 Divergence Lines for Context Optional lines connect the relevant swing points, making it easier to see the exact structure that triggered the signal. One line can be drawn on the main chart and another in the indicator pane for the comparison series. 🔸 Info Table (At a Glance) A compact table can display the active symbols, correlation mode, total divergences stored, and the most recent signal type. 🔸 Alerts Included Built-in alert conditions are provided for bullish SMT, bearish SMT, and any SMT event so you can automate notifications without editing the code. 🔸 Optional Comparison Candle Panel If enabled, the indicator can plot the comparison symbol as candles in the indicator pane. This is useful for confirming whether the divergence is happening around major levels, consolidations, or impulsive legs on the secondary instrument. 🔹 Calculations This section summarizes the core logic used by the script. 1. Data Synchronization (Comparison Symbol) The comparison instrument is requested on the chart’s current timeframe so swing calculations are performed consistently: = request.security(compareSymbolInput, timeframe.period, ) This ensures pivots and swing times are derived from the same bar cadence as the primary chart. 2. Swing Detection via Confirmed Pivots Swings are detected using pivot logic with user-defined left and right bars: primaryPivotHigh = ta.pivothigh(high, pivotLeftBars, pivotRightBars) primaryPivotLow = ta.pivotlow(low, pivotLeftBars, pivotRightBars) Because pivots are confirmed only after the “right bars” have closed, the script stores each swing using an offset so the swing’s bar index and time reflect where the pivot actually occurred, not where it was confirmed. 3. Swing Storage and Retrieval Both symbols maintain arrays of SwingPoint objects. Each new swing is pushed into the array, and older swings are dropped once the array exceeds the configured maximum. This makes the divergence engine predictable and prevents uncontrolled memory growth. The script then retrieves the last and previous swing highs and lows (per symbol) to evaluate structure. 4. Matching Logic (Time Matched vs Independent) When “Time Matched” is selected, the script searches the comparison swing array for a pivot that occurred at the exact same timestamp as the primary swing. When “Independent Swings” is selected, it simply uses the comparison symbol’s last two swings of the same type. 5. Bullish SMT Condition (LL vs HL) A bullish SMT event is defined as: Primary forms a lower low (last low < previous low) Comparison forms a higher low (last low > previous low) If inverse correlation is enabled, the comparison condition flips to maintain logical confirmation rules The two primary swings must be within the configured bar distance window Optional minimum percentage difference must be satisfied A simple anti duplication rule prevents repeated triggers on the same structure These checks are implemented directly in the bullish detection block. 6. Bearish SMT Condition (HH vs LH) A bearish SMT event is defined as: Primary forms a higher high (last high > previous high) Comparison forms a lower high (last high < previous high) Inverse correlation flips the comparison rule Range checks, minimum difference filtering, and duplicate protection apply similarly These checks are implemented in the bearish detection block. 7. Percentage Difference Filter The optional “Min Price Diff (%)” filter measures the relative distance between the last two primary swing prices. This prevents very small structural changes from being treated as valid SMT signals. priceDiffPerc = math.abs(lastSwing.price - prevSwing.price) / prevSwing.price * 100.0 The divergence condition is only allowed to trigger if this value exceeds the user defined threshold. priceOk = priceDiffPerc >= minPriceDiff This filter is especially useful on higher timeframes or during low volatility conditions, where micro structure noise can otherwise produce misleading signals. 8. Visualization and Output When a divergence is confirmed, the script: Stores the event in a divergence array (limited by “Max Divergences to Display”) Draws a directional SMT label with a tooltip (optional) Draws connecting lines using time based coordinates for clean alignment (optional) It also updates an information table on the last bar only, and exposes alertconditions for automation workflows.
אינדיקטור Pine Script®
מאת ‎Kodexius‎
2
Custom Monthly Volume Profile [Multi-Timeframe]This indicator renders a high-precision Monthly Volume Profile designed for intraday traders and practitioners of Auction Market Theory. Unlike standard volume profiles, this script utilizes Multi-Timeframe (MTF) data request capability to build the profile from lower timeframe data (e.g., 5-minute bars) while displaying it on your trading timeframe. This tool is optimized to keep your chart clean while providing critical developing levels (POC, VAH, VAL) and historical context from the previous month. Key Features: 1. Dynamic "Auto-Scaling" Width One of the biggest issues with monthly profiles is visual clutter. Early Month: The profile starts wide (default 10% width) so you can clearly see the developing structure when data is scarce. Late Month: As volume accumulates, the profile automatically shrinks (scales down to 2% width) to prevent the histogram from obscuring price action. Note: This can be toggled off for a static width. 2. Developing & Static Levels Current Month: Displays real-time Developing Point of Control (dPOC), Value Area High (dVAH), and Value Area Low (dVAL). Previous Month: Automatically locks in the levels from the previous month at the close, providing immediate support/resistance references for the new month. 3. Time-Filtered Alerts Avoid waking up to notifications during low-volume overnight sessions. This script includes a Session Filter (Default: 0830-1500). Alerts for crossing POC, VAH, or VAL will only trigger if the price cross occurs within the user-defined time window. 4. Calculation Precision Multi-Timeframe Data: The profile is built using lower timeframe data (Input: Calculation Precision) rather than just the current chart bars. This ensures the Volume Profile shape remains accurate even when viewing higher timeframes. Row Size: Fully adjustable "Tick/Row Size" to control the resolution of the volume buckets. Settings Overview: Calculation Precision: Determine the granularity of the data (e.g., "5" for 5-minute data). Row Size: Controls vertical resolution (Lower = higher detail). Value Area %: Standard 70% default, fully adjustable. Auto-Width: Set the Start % (Day 1) and End % (Day 31). Alerts: Toggle Current or Previous month alerts and define the active time session. Visual Customization: Customize colors for the Histogram (Value Area vs. Outer Area). Customize line width and colors for POC, VAH, and VAL. Supports Right or Left alignment. Disclaimer: This tool is for informational purposes only. Past performance and volume levels do not guarantee future price action.
אינדיקטור Pine Script®
מאת ‎tantankatrading‎
Multi-Distribution Volume Profile (Zeiierman)█ Overview Multi-Distribution Volume Profile (Zeiierman) is a flexible, structure-first volume profile tool that lets you reshape how volume is distributed across price, from classic uniform profiles to advanced statistical curves like Gaussian, Lognormal, Student-t, and more. Instead of forcing every market into a single "one-size-fits-all" profile, this tool lets you model how volume is likely concentrated inside each bar (body vs wicks, midpoint, tails, center bias, right-skew, heavy tails, etc.) and then stacks that behavior across a whole lookback window to build a rich, multi-distribution map of traded activity. On top of that, it overlays a dynamic Center Band (value area) and a fade/gradient model that can color each price row by volume, hits, recency, volatility, reversals, or even liquidity voids, turning a plain profile into a multi-dimensional context map. Highlights Choose from multiple Profile Build Modes , including uniform, body-only, wick-only, midpoint/close/open, center-weighted, and a suite of probability-style distributions (Gaussian, Lognormal, Weibull, Student-t, etc.) Flexible anchor layout: draw the profile on Right/Left (horizontal) or Bottom/Top (vertical) to fit any chart layout Value Area / Center Band computed from volume quantiles around the POC. Gradient-based Fade Metrics: volume, price hits, freshness (time decay), volatility impact, dwell time, reversal density, compression, and liquidity voids Separate bullish vs bearish volume at each price row for directional structure insights █ How It Works ⚪ Profile Construction The script scans a user-defined Bars Included window and finds the full high–low span of that zone. It then divides this range into a user-controlled number of Price Levels (rows). For each historical bar within the window: It measures the candle’s price range, body, and wicks. It assigns volume to rows according to the selected Profile Build Mode, for example: * Range Uniform – volume spread evenly across the full high–low range. * Range Body Only / Range Wick Only – concentrate volume inside the body or wicks only. * Midpoint / Close / Open Only – allocate volume entirely into one price row (pinpoint modeling). HL2 / Body Center Weighted – center weights around the middle of the range/body. Recent-Weighted Volume – amplify newer bars using exponential time decay. Volume Squared (Hard) – aggressively boost bars with large volume. Up Bars Only / Down Bars Only – filter volume to only bullish or bearish bars. For more advanced shapes, the script uses continuous distributions across the bar’s span: Linear, Triangular, Exponential to High Cosine Centered, PERT Gaussian, Lognormal, Cauchy, Laplace Pareto, Weibull, Logistic, Gumbel Gamma, Beta, Chi-Square, Student-t, F-Shape Each distribution produces a weight for each row within the bar’s range, normalized so the total volume remains consistent, but the shape of where that volume lands changes. ⚪ POC & Center Band (Value Area) Once all rows are accumulated: The row with the highest total volume becomes the Point of Control (POC) The script computes cumulative volume and finds the band that wraps a user-defined Center of Profile % (e.g., 68%) around the center of distribution. This range is displayed as a central band, often treated like a value area where price has spent the most “effort” trading. ⚪ Gradient Fade Engine Each row also gets a fade metric, chosen in Fade Metric: Volume – opacity based on relative volume. Price Hits – how frequently that row was touched. Blended (Vol+Hits) – average of volume & hits. Freshness – emphasizes recent activity, controlled by Decay. Volatility Impact – rows that saw larger ranges contribute more. Dwell Time – where price “camped” the longest. Reversal Density – where direction changes cluster. Compression – tight-range compression zones. Liquidity Void – inverse of volume (thin liquidity zones). When Apply Gradient is enabled, the row’s bullish/bearish colors are tinted from faint to strong based on this chosen metric, effectively turning the profile into a heatmap of your chosen structural property. █ How to Use ⚪ Explore Different Distribution Assumptions Switch between multiple Profile Build Modes to see how your assumptions about intrabar volume affect structure: Use Range Uniform for classical profile reading. Deploy Gaussian, Logistic, or Cosine shapes to emphasize central clustering. Try Pareto, Lognormal, or F-Shape to focus on tail / extremal activity. Use Recent-Weighted Volume to prioritize the most recent structural behavior. This is especially useful for traders who want to test how different modeling assumptions change perceived value areas and levels of interest. ⚪ Identify Value, Acceptance & Rejection Zones Use the POC and Center of Profile (%) band to distinguish: High-acceptance zones – wide central band, thick rows, strong gradient → fair value areas Rejection zones & tails – thin extremes, low dwell time, high volatility or reversal density These regions can be used as: Targets and origin zones for mean reversion Context for breakout validation (leaving value) Bias reference for intraday rotations or swing rotations ⚪ Read Directional Structure Within the Profile Because each row is split into bullish vs bearish contributions, you can visually read: Where buyers dominated a price region (large bullish slice) Where sellers absorbed or defended (large bearish slice) Combining this with Fade Metrics like Reversal Density, Dwell Time, or Freshness turns the profile into a structural order-flow map, without needing raw tick-by-tick volume data. ⚪ Use Fade Metrics for Contextual Heatmaps Each Fade Metric can be used for a different analytical lens: Volume / Blended – emphasize where volume and activity are concentrated. Freshness – highlight the most recently active zones that still matter. Volatility Impact & Compression – spot areas of explosive moves vs coiled ranges. Reversal Density – locate micro turning points and battle zones. Liquidity Void – visually pop out thin regions that may act as speedways or magnets. █ Settings Profile Build Mode – Selects how each bar’s volume is distributed across its price range (uniform, body/wick, midpoint/close/open, center-weighted, or statistical distribution families). Bars Included – Number of bars used to build the profile from the current bar backward. Price Levels – Vertical resolution of the profile: more levels = smoother but heavier. Anchor Side – Where the profile is drawn on the chart: Right, Left, Bottom, or Top. Offset (bars) – Horizontal offset from the last bar to the profile when using Right/Left modes. Apply Gradient – Toggles the fade/heatmap coloring based on the selected metric. Fade Metric – Chooses the property driving row opacity (Volume, Hits, Freshness, Volatility Impact, Dwell Time, Reversal Density, Compression, Liquidity Void). Decay – Time-decay factor for Freshness (values close to 1 keep older activity relevant for longer). Profile Thickness – Relative thickness of the profile along the time axis, as a % of the lookback window. Center of Profile (%) – Volume percentage used to define the central band (value area) around the POC. ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
אינדיקטור Pine Script®
מאת ‎Zeiierman‎
10
Volume Profile VisionVolume Profile Vision - Complete Description Overview Volume Profile Vision (VPV) is an advanced volume profile indicator that visualizes where trading activity has occurred at different price levels over a specified time period. Unlike traditional volume indicators that show volume over time, this indicator displays volume distribution across price levels, helping traders identify key support/resistance zones, fair value areas, and potential reversal points. What Makes This Indicator Original Volume Profile Vision introduces several unique features not found in standard volume profile tools: Dual-Direction Histogram Display: Unlike conventional volume profiles that only show bars extending in one direction, VPV displays volume bars extending both left (into historical candles) and right (as a traditional histogram). This bi-directional approach allows traders to see exactly where historical price action intersected with high-volume nodes. Real-Time Candle Highlighting: The indicator dynamically highlights volume bars that intersect with the current candle's price range, making it immediately obvious which volume levels are currently in play. Four Professional Color Schemes: Each color scheme uses distinct gradient algorithms and visual encoding systems: Traffic Light: Uses red (POC), green (VA boundaries), yellow (HVN), with grayscale gradients outside the value area Aurora Glass: Modern cyan-to-magenta gradient with hot magenta POC highlighting Obsidian Precision: Professional dark theme with white POC and electric cyan accents Black Ice: Monochromatic cyan family with graduated intensity Adaptive Transparency System: Automatically adjusts bar transparency based on position relative to value area, with special handling for each color scheme to maintain visual clarity. Core Concepts & Calculations Volume Distribution Analysis The indicator divides the visible price range into user-defined price levels (default: 80 levels) and calculates the total volume traded at each level by: Scanning back through the specified lookback period (customizable or visible range) For each historical bar, determining which price levels the bar's high/low range intersects Accumulating volume for each intersected price level Optionally filtering by bullish/bearish volume only Point of Control (POC) The POC is the price level with the highest traded volume during the analyzed period. This represents the "fairest" price where most traders agreed on value. The indicator marks this with distinct coloring (red in Traffic Light, magenta in Aurora Glass, white in Obsidian Precision, cyan in Black Ice). Trading Significance: POC acts as a strong magnet for price - markets tend to return to fair value. When price is away from POC, traders watch for: Mean reversion opportunities when price is far from POC Rejection signals when price tests POC from above/below Breakout confirmation when price breaks through and holds beyond POC Value Area (VA) The Value Area encompasses the price range where a specified percentage (default: 68%) of all volume traded. This represents the range of "accepted value" by market participants. Calculation Method: Start at the POC (highest volume level) Expand upward and downward, adding adjacent price levels Always add the level with higher volume next Continue until accumulated volume reaches the VA percentage threshold Value Area High (VAH): Upper boundary of accepted value - acts as resistance Value Area Low (VAL): Lower boundary of accepted value - acts as support Trading Significance: Price spending time inside VA indicates market equilibrium Breakouts above VAH suggest bullish momentum shift Breakdowns below VAL suggest bearish momentum shift Returns to VA boundaries often provide high-probability entry zones High Volume Nodes (HVN) Price levels with volume exceeding a threshold percentage (default: 80%) of POC volume. These represent areas of strong agreement and consolidation. Trading Significance: HVNs act as strong support/resistance zones Price tends to consolidate at HVNs before making directional moves Breaking through an HVN often signals strong momentum Low Volume Nodes (LVN) Price levels within the Value Area with volume ≤30% of POC volume. These are zones price moved through quickly with minimal consolidation. Trading Significance: LVNs represent areas of rejection - price finds little acceptance Price tends to move rapidly through LVN zones Useful for setting stop-losses (below LVN for longs, above for shorts) Can identify potential gaps or "air pockets" in the market structure Grayscale POC Detection A secondary POC detection system identifies the highest volume level outside the Value Area (with a 2-level buffer to avoid confusion). This helps identify significant volume accumulation zones that exist beyond the main value area. How to Use This Indicator Setup Choose Lookback Period: Enable "Use Visible Range" to analyze only what's on your chart Or set "Fixed Range Lookback Depth" (default: 200 bars) for consistent analysis Adjust Profile Resolution: "Number of Price Levels" (default: 80) - higher = more granular analysis, lower = broader zones Select Color Scheme: Traffic Light: Best for clear POC/VA/HVN identification Aurora Glass: Modern aesthetic for dark charts Obsidian Precision: Professional trader preference Black Ice: Minimalist single-color family Visual Customization Left Extension: How far back the left-side histogram extends into historical candles (default: 490 bars) Right Extension: Width of the traditional histogram bars on the right (default: 50 bars) Right Margin: Space between current price bar and histogram (default: 0 for flush alignment) Left Profile Gap: Space between left-side histogram and candles (default: 0) Trading Strategies Strategy 1: Value Area Mean Reversion Wait for price to move outside the Value Area (above VAH or below VAL) Look for rejection signals (wicks, bearish/bullish candles) Enter trades toward the POC Take profits as price returns to POC or opposite VA boundary Strategy 2: Breakout Confirmation Identify when price is consolidating within the Value Area Wait for a strong close above VAH (bullish) or below VAL (bearish) Enter on the breakout or on first pullback to the VA boundary Target previous HVNs or swing highs/lows outside the VA Strategy 3: POC Support/Resistance Watch for price approaching the POC level If approaching from below, look for bullish reversal patterns at POC (support) If approaching from above, look for bearish reversal patterns at POC (resistance) Trade in the direction of the bounce with stops beyond the POC Strategy 4: LVN Fast Movement Zones Identify LVN zones within the Value Area (marked with "LVN" label) When price enters an LVN, expect rapid movement through the zone Avoid entering trades within LVNs Use LVNs as confirmation of directional momentum Alert System The indicator includes 7 customizable alert conditions: POC Touch: Alerts when price comes within 0.5 ATR of POC VAH/VAL Touch: Alerts at Value Area boundaries VA Breakout: Alerts on breakouts above VAH or below VAL HVN Touch: Alerts when price contacts High Volume Nodes LVN Entry: Alerts when entering Low Volume zones POC Shift: Alerts when POC moves to a new price level Reading the Profile Price Labels (shown on the right side): POC: Point of Control - highest volume price level VAH: Value Area High - upper boundary of accepted value VAL: Value Area Low - lower boundary of accepted value LVN: Low Volume Node - expect fast movement through this zone Color Intensity Interpretation: Brighter colors = higher volume concentration Dimmer colors = lower volume Abrupt color changes = transition between volume zones Gaps in the histogram = price levels with no trading activity Technical Details Volume Accumulation Logic: For each bar in lookback period: For each price level: If bar's high/low range intersects price level: Add bar's volume to that price level's total Gradient Algorithm: Traffic Light: Dual-range piecewise gradient (0-50% and 50-100% volume intensity) Aurora Glass: Linear cyan-to-magenta interpolation Obsidian Precision: Dark blue gradient with cyan highlights Black Ice: Three-stage cyan intensity progression Real-Time Updates: The profile recalculates on every bar, including real-time tick data, ensuring the volume distribution always reflects current market structure. Best Practices Timeframe Selection: Use higher timeframes (4H, Daily) for swing trading, lower timeframes (5min, 15min) for day trading Combine with Price Action: Volume profile shows WHERE, price action shows WHEN Multiple Timeframe Analysis: Check daily VP for major levels, then drill down to intraday for entries Volume Type Selection: Use "Bullish" volume in uptrends, "Bearish" in downtrends, or "Both" for complete picture Adjust VA Percentage: 68% (default) captures one standard deviation; try 70% for tighter or 60% for broader value areas Performance Notes Maximum bars back: 5000 (handles deep historical analysis) Maximum boxes: 500 (handles complex profiles) Optimized calculation: Only recalculates on last bar for efficiency Real-time capable: Updates as new ticks arrive
אינדיקטור Pine Script®
מאת ‎KevinSvenson_‎
2
Volume Flow Anatomy [Kodexius]Volume Flow Anatomy is a dynamic, multi-dimensional volume map that reconstructs how buy, sell, and “stealth” activity is distributed across price rather than just across time. Instead of relying on a static, session-based volume profile, it uses an exponentially decaying memory of recent bars to build a constantly evolving “anatomy” of the auction, where each price level carries an adaptive history of order flow. The script separates buy vs. sell pressure, adds a third “Stealth Flow” dimension for low-volume price movement (ease of movement / divergence), and automatically derives POC, Value Area, imbalances, absorption zones, and classic profile shapes (D, P, b, B). This gives the trader a compact but highly information-dense map on the right side of the chart to read control (buyers vs. sellers), structure (balanced vs. trending vs. double distribution), and key reaction levels (support/resistance born from flow, not just wicks). 🔹 Features 🔸 Dynamic Lookback with Decay - The script computes an effective lookback N from the Decay Factor and caps it with Max Lookback. - Higher decay keeps more history; lower decay emphasizes the most recent flow. - The profile continuously adapts as new bars are printed. 🔸 Price-Bucketed Flow Map Each bucket accumulates: - Sell Flow (sell pressure) - Buy Flow (buy pressure) - Stealth Flow (low-volume price movement) - Box width at each bucket is proportional to the relative intensity of that component. 🔸 Stealth Flow (Low-Volume Price Movement) - Measures close to close movement relative to volume, emphasizing price movement that occurs on comparatively low volume. - Helps reveal hidden participation, inefficient moves, and areas that may be vulnerable to re-tests or reversions. 🔸 POC & 70% Value Area (VA) - Identifies the Point of Control (price bucket with the highest total volume) over the effective lookback. - Builds a 70% Value Area by expanding from POC towards the nearest high volume neighbors until 70% of the total volume is included. - POC is drawn as a line over the analyzed range; VA is displayed as a shaded band in the profile area. 🔸 Market Profile Shape Detection Splits the profile vertically into three zones (bottom / middle / top) and compares their volume distribution. Classifies structure as: - D-Shape (Balanced) - P-Shape (Short Covering) - b-Shape (Long Liquidation) - B-Shape (Double Distribution) Displays a shape label with color coded bias for quick auction context interpretation. 🔸 Imbalance Zones & Absorption Imbalance: detects buckets where Buy Flow or Sell Flow exceeds the opposite side by at least Imbalance Ratio. Absorption: flags zones with high volume but low price “ease”, where price is not moving much despite significant volume. Extends these levels into horizontal zones, marking potential support/resistance and trap areas. Bullish Imbalance Zone : Bearish Imbalance Zone : Absorption Zone : 🔸 Range Context & On-Chart Legend Draws a Range Box covering the dynamically determined lookback (N bars), with a label displaying the effective bar count. A bottom-right legend summarizes: - Color keys for Buy / Sell / Stealth - POC / VA status - Bullish vs. Bearish dominance percentage - Profile shape classification - Imbalance and Absorption conventions 🔹 Calculations 1. Dynamic Lookback & Price Buckets int N = math.min(int(4 / (1 - decayFactor) - 1), maxHistory) float priceHigh = ta.highest(high, N) float priceLow = ta.lowest(low, N) float bucketSize = (priceHigh - priceLow) / bucketCount The effective lookback N is derived from the Decay Factor, using the approximation 4 / (1 - decay) to capture roughly 99% of the decayed influence, then capped with maxHistory to control performance. Over that adaptive range, the script finds the highest and lowest prices and divides the band into bucketCount equal slices (bucketSize). Each slice is a price bucket that will accumulate volume-flow information. 2. Exponentially Decayed Volume Allocation addValue(array profile, float weight, float minPrice, float maxPrice) => for j = 0 to bucketCount - 1 float bucketMin = priceLow + j * bucketSize float bucketMax = bucketMin + bucketSize float overlapMin = math.max(minPrice, bucketMin) float overlapMax = math.min(maxPrice, bucketMax) float overlapRange = overlapMax - overlapMin if overlapRange > 0 profile.set(j, profile.get(j) * decayFactor + weight * overlapRange) This function is the core engine of the indicator. For a given price span and intensity, it checks every bucket for overlap, distributes the weight proportionally to the overlapping range, and before adding new value, decays the existing bucket content by decayFactor. This results in an exponentially weighted profile: recent activity dominates, while older levels retain a gradually fading footprint. 3. POC and 70% Value Area array totalProfile = array.new(bucketCount, 0) for j = 0 to bucketCount - 1 float total = sellProfile.get(j) + buyProfile.get(j) totalProfile.set(j, total) if total > eaMax eaMax := total int pocIdx = 0 float pocVal = 0.0 for j = 0 to bucketCount - 1 if totalProfile.get(j) > pocVal pocVal := totalProfile.get(j) pocIdx := j float totalSum = totalProfile.sum() float targetSum = totalSum * 0.70 int vaLow = pocIdx int vaHigh = pocIdx float currentSum = pocVal while currentSum < targetSum and (vaLow > 0 or vaHigh < bucketCount - 1) float lowVal = vaLow > 0 ? totalProfile.get(vaLow - 1) : 0.0 float highVal = vaHigh < bucketCount - 1 ? totalProfile.get(vaHigh + 1) : 0.0 First, totalProfile is built as the sum of buy and sell flow per bucket, and eaMax (the maximum total) is tracked for later normalization. The POC bucket (pocIdx) is simply the index with the highest totalProfile value. To compute the 70% Value Area, the algorithm starts at the POC bucket and expands outward, each step adding either the upper or lower neighbor depending on which has more volume. This continues until the cumulative volume reaches 70% of totalSum. The result is a volume-driven VA, not necessarily symmetric around POC, which more accurately represents where the market has truly traded. 4. Market Profile Shape Classification float volTopThird = 0.0 float volMidThird = 0.0 float volBotThird = 0.0 int thirdIdx = int(bucketCount / 3) for j = 0 to bucketCount - 1 float val = totalProfile.get(j) if j < thirdIdx volBotThird += val else if j < thirdIdx * 2 volMidThird += val else volTopThird += val float totalVolShape = totalProfile.sum() string shapeStr = "D-Shape (Balanced)" if (volTopThird > totalVolShape * 0.20) and (volBotThird > totalVolShape * 0.20) and (volMidThird < totalVolShape * 0.50) shapeStr := "B-Shape (Double Dist)" else if pocIdx > bucketCount * 0.5 and volTopThird > volBotThird * 1.3 shapeStr := "P-Shape (Short Covering)" else if pocIdx < bucketCount * 0.5 and volBotThird > volTopThird * 1.3 shapeStr := "b-Shape (Long Liquidation)" else shapeStr := "D-Shape (Balanced)" The profile is split into bottom, middle, and top thirds. The script compares how much volume is concentrated in each and combines that with the relative location of POC. If both extremes are heavy and the middle light, it labels a B-Shape (double distribution). If the POC is high and the top dominates the bottom, it’s a P-Shape (short covering). If the POC is low and the bottom dominates, it’s a b-Shape (long liquidation). Otherwise, it defaults to a D-Shape (balanced). This provides a quick, at-a-glance assessment of auction structure. 5. Imbalances, Absorption & Zones bool isBuyImb = showImb and sVal > 0 and (bVal / sVal >= imbRatio) bool isSellImb = showImb and bVal > 0 and (sVal / bVal >= imbRatio) float volRatio = eaMax > 0 ? tVal / eaMax : 0 float stRatio = esmRange > 0 ? (stVal - esmMin) / esmRange : 1.0 bool isAbsorp = showAbsorp and volRatio > 0.6 and stRatio < 0.25 if showImbZone if isSellImb zoneBoxes.push(box.new(bar_index - N + 1, bucketHi, bar_index + 1, bucketLo, ...)) if isBuyImb zoneBoxes.push(box.new(bar_index - N + 1, bucketHi, bar_index + 1, bucketLo, ...)) if isAbsorp zoneBoxes.push(box.new(bar_index - N + 1, bucketHi, bar_index + 1, bucketLo, ...)) Imbalances are identified where one side’s volume (buy or sell) exceeds the other by at least Imbalance Ratio. These buckets are marked as buy or sell imbalance zones, indicating aggressive participation from one side. Absorption is detected by combining a high volume ratio (volRatio) with a low normalized stealth ratio (stRatio). High volume with limited price movement suggests that opposing orders are absorbing flow at that level. Both imbalance and absorption buckets are extended into horizontal zones from the start of the lookback to the current bar, visually emphasizing key support/resistance and liquidity areas. 6. Building Buy, Sell & Stealth Profiles sellProfile := array.new(bucketCount, 0) buyProfile := array.new(bucketCount, 0) stealthProfile := array.new(bucketCount, 0) Three arrays are used to store Sell Flow, Buy Flow, and Stealth Flow. Bars are processed from oldest to newest so that decay is applied in correct chronological order. For each bar, a volume density (volume / range) is calculated and distributed across the candle range. Bull candles feed buyProfile, bear candles feed sellProfile. Stealth Flow computes the close-to-close move between consecutive bars, scaled by 1 / (1 + volume). Big moves on low volume produce high stealth values, which are then allocated across the move’s price span into stealthProfile. This yields a three-layer profile per price level: directional volume and stealthy price movement.
אינדיקטור Pine Script®
מאת ‎Kodexius‎
2
RSI Profile [Kodexius]RSI Profile is an advanced technical indicator that turns the classic RSI into a distribution profile instead of a single oscillating line. Rather than only showing where the RSI is at the current bar, it displays where the RSI has spent most of its time or most of its volume over a user defined lookback period. The script builds a histogram of RSI values between 0 and 100, splits that range into configurable bins, and then projects the result to the right side of the chart. This gives you a clear visual representation of the RSI structure, including the Point of Control (POC), the Value Area High (VAH), and the Value Area Low (VAL). The POC marks the RSI level with the highest activity, while VAH and VAL bracket the percentage based value area around it. By combining standard RSI, a distribution profile, and value area logic, this tool lets you study RSI behavior statistically instead of only bar by bar. You can immediately see whether the current RSI reading is located inside the dominant zone, extended above it, or depressed below it, and whether the recent regime has been biased toward overbought, oversold, or neutral territory. This is particularly useful for swing traders, mean reversion systems, and anyone who wants to integrate RSI context into a more profile oriented workflow. 🔹 Features 1. RSI-Based Distribution Profile -Builds a histogram of RSI values between 0 and 100. -The RSI range is divided into a user-defined number of bins (e.g., 30 bins). -Each bin represents a band of RSI values, such as 0–3.33, 3.33–6.66, ..., 96.66–100. -For each bar in the lookback period, the script: -Finds which bin the RSI value belongs to Adds either: -1.0 → if using time/frequency -volume → if using volume-weighted RSI distribution This creates a clear profile of where RSI has been concentrated over the chosen lookback window. 2. Time / Volume Weighting Mode Under Profile Settings, you can choose: -Weight by Volume = false → Profile is built using time spent at each RSI level (frequency). -Weight by Volume = true → Profile is built using volume traded at each RSI level. This flexibility allows you to decide whether you want: -A pure momentum structure (time spent at each RSI) -Or a participation-weighted structure (where higher-volume zones are emphasized) 3. Configurable Lookback & Resolution -Profile Lookback: number of historical bars to analyze. -Number of Bins: controls the resolution of the histogram: Fewer bins → smoother, fewer gaps More bins → more detail, but potentially more visual sparsity -Profile Width (Bars): defines how wide the histogram extends into the future (visually), converted into time using average bar duration. This provides a balance between performance, clarity, and visual density. 4. Value Area, POC, VAH, VAL The script computes: -POC (Point of Control) → The RSI bin with the highest total value (time or volume). -Value Area (VA) → The range of RSI bins that contain a user-specified percentage of total activity (e.g., 70%). -VAH & VAL → Upper and lower RSI boundaries of this Value Area. These are then drawn as horizontal lines and labeled: -POC line and label -VAH line and label -VAL line and label This gives you a profile-style view similar to classical volume profile, but entirely on the RSI axis. 5. Color Coding & Visual Design The histogram bars (boxes) are colored using a smart scheme: -Below 30 RSI → Oversold zone, uses the Oversold Color (default: green). -Above 70 RSI → Overbought zone, uses the Overbought Color (default: red). -Between 30 and 70 RSI → Neutral zone, uses a gradient between: A soft blue at lower mid levels A soft orange at higher mid levels Additional styling: -POC bin is highlighted in bright yellow. -Bins inside the Value Area → lower transparency (more solid). -Bins outside the Value Area → higher transparency (faded). This makes it easy to visually distinguish: -Core RSI activity (VA) -Extremes (oversold/overbought) -The single dominant zone (POC) 🔹 Calculations This section summarizes the core logic behind the script and highlights the main building blocks that power the profile. 1. Profile Structure and Bin Initialization A custom Profile type groups together configuration, bins and drawing objects. During initialization, the script splits the 0 to 100 RSI range into evenly spaced bins, each represented by a Bin record: method initBins(Profile p) => p.bins := array.new() float step = 100.0 / p.binCount for i = 0 to p.binCount - 1 float low = i * step float high = (i + 1) * step p.bins.push(Bin.new(low, high, 0.0, box(na))) 2. Filling the Profile Over the Lookback Window On the last bar, the script clears previous drawings and walks backward through the selected lookback window. For each historical bar, it reads the RSI and volume series and feeds them into the profile: if barstate.islast myProfile.reset() int start = math.max(0, bar_index - lookback) int end = bar_index for i = 0 to (end - start) float r = rsi float v = volume if not na(r) myProfile.add(r, v) The add method converts each RSI value into a bin index and accumulates either a frequency count or the bar volume, depending on the chosen mode: method add(Profile p, float rsiValue, float volumeValue) => int idx = int(rsiValue / (100.0 / p.binCount)) if idx >= p.binCount idx := p.binCount - 1 if idx < 0 idx := 0 Bin targetBin = p.bins.get(idx) float addedValue = p.useVolume ? volumeValue : 1.0 targetBin.value += addedValue 3. Finding POC and Building the Value Area Inside the draw method, the script first scans all bins to determine the maximum value and the total sum. The bin with the highest value becomes the POC. The value area is then constructed by expanding from that center bin until the desired percentage of total activity is covered: for in p.bins totalVal += b.value if b.value > maxVal maxVal := b.value pocIdx := i float vaTarget = totalVal * (p.vaPercent / 100.0) float currentVaVol = maxVal int upIdx = pocIdx int downIdx = pocIdx while currentVaVol < vaTarget float upVol = (upIdx < p.binCount - 1) ? p.bins.get(upIdx + 1).value : 0.0 float downVol = (downIdx > 0) ? p.bins.get(downIdx - 1).value : 0.0 if upVol == 0 and downVol == 0 break if upVol >= downVol upIdx += 1 currentVaVol += upVol else downIdx -= 1 currentVaVol += downVol
אינדיקטור Pine Script®
מאת ‎Kodexius‎
1
VPOCS ZScoreAn indicator Showing Candle POC's. Added a Zscore Filter to filter out the High volume candle's. I like to use at Key Support and resistance Area's to see Absorbtion and Offside positions only on High volume Candles ( The high volume candle part is Key! ). Thoose candles Generally indicate forced participants opening or closing positions, or "Breakout traders entering" positions. When i see a Hi-Volume at S/R levels and price is rejecting ( trading away from the POC ) ill take that as a trigger for a trade. - Dynamic Support and resistance. - Show Offside and and Trapped traders You can tweak the Zscore nominator for Less of more Frequent hits.
אינדיקטור Pine Script®
מאת ‎Gumbotx‎
Price Volume Heatmap [MHA Finverse]Price Volume Heatmap - Advanced Volume Profile Analysis Unlock the power of institutional-level volume analysis with the Price Volume Heatmap indicator. This sophisticated tool visualizes market structure through volume distribution across price levels, helping you identify key support/resistance zones, high-probability reversal areas, and optimal entry/exit points. 🎯 What Makes This Indicator Unique? Unlike traditional volume indicators that only show volume over time, this heatmap displays volume distribution across price levels , revealing where the most significant trading activity occurred. The gradient coloring system instantly highlights high-volume nodes (areas of strong interest) and low-volume nodes (potential breakout zones). 📊 Core Features 1. Dynamic Volume Heatmap - Visualizes volume concentration across 250 customizable price levels - Gradient color scheme from high volume (white) to low volume (teal/green) - Adjustable brightness multiplier for enhanced contrast and clarity - Real-time updates as market conditions evolve 2. Point of Control (POC) - Automatically identifies the price level with the highest traded volume - Acts as a magnetic price level where markets often return - Critical for identifying fair value areas and potential reversal zones - Customizable line style, width, and color 3. Flexible Lookback Settings - Lookback Bars: Set any value from 1-5000 bars to control analysis depth - Visible Range Mode: Analyze only what's currently visible on your chart - Timeframe-Specific Settings: Different lookback periods for 1m, 5m, 15m, 30m, 1h, Daily, and Weekly charts - Adapts to your trading style - scalping to position trading 4. Session Separation Analysis - Tokyo Session: 00:00-09:00 UTC - London Session: 07:00-16:00 UTC - New York Session: 13:00-22:00 UTC - Sydney Session: 21:00-06:00 UTC - Daily Reset: Analyze each trading day independently Session separation allows you to understand volume distribution specific to each major trading session, revealing institutional order flow patterns and session-specific support/resistance levels. 5. Profile Width Options - Dynamic: Profile width adjusts based on lookback period - Fixed Bars: Set a specific bar count for consistent profile width - Extend Forward: Project the profile into future bars for planning trades 6. Smart Alerts - POC crossover/crossunder alerts - New session start notifications - Never miss critical price action at high-volume nodes 📈 How to Use This Indicator Professionally Understanding Market Structure: High Volume Nodes (HVN): - Appear as bright/white areas in the heatmap - Represent price levels where significant trading occurred - Act as strong support/resistance zones - Markets often consolidate or bounce from these levels - Trading Strategy: Look for entries when price tests HVN areas with confluence from other indicators Low Volume Nodes (LVN): - Appear as darker/teal areas in the heatmap - Represent price levels with minimal trading activity - Price tends to move quickly through these areas - Often form "gaps" in the volume profile - Trading Strategy: Expect rapid price movement through LVN zones; avoid placing stop losses here Point of Control (POC): - The single most important price level in your analysis window - Represents the fairest price where maximum volume traded - Price gravitates toward POC like a magnet - Trading Strategy: * When price is above POC: bullish bias, POC acts as support * When price is below POC: bearish bias, POC acts as resistance * POC breaks often lead to significant trend changes Session-Based Analysis: Use session separation to understand how different market participants trade: Asian Session (Tokyo/Sydney): - Typically lower volatility and range-bound - Volume profiles often show tight, balanced distribution - Use for identifying overnight ranges and gap fill zones London Session: - Highest volume session for forex pairs - Often shows strong directional bias - Look for breakouts from Asian ranges during London open New York Session: - Maximum participation when overlapping with London - Institutional order flow most visible - POC during NY session often becomes key level for following sessions 🎯 Practical Trading Applications 1. Identifying Support & Resistance: High volume nodes from the heatmap are far more reliable than traditional swing highs/lows. When price approaches an HVN, expect reaction - either a bounce or a significant breakout if breached. 2. Trend Confirmation: - Healthy uptrend: POC rising over time, HVN forming at higher levels - Healthy downtrend: POC falling over time, HVN forming at lower levels - Consolidation: POC relatively flat, volume balanced across range 3. Breakout Trading: When price breaks through a Low Volume Node with momentum, it often continues to the next High Volume Node. Use LVN areas as measured move targets. 4. Reversal Zones: Multiple HVN stacking on top of each other creates a "volume shelf" - an extremely strong support/resistance zone where reversals are highly probable. 5. Risk Management: - Place stops beyond HVN areas (not within LVN zones) - Size positions based on distance to nearest HVN - Use POC as trailing stop level in trending markets ⚙️ Recommended Settings For Day Trading (Scalping/Intraday): - Lookback: 200-500 bars - Rows: 200-250 - Enable session separation for your primary trading session - Profile Width: Dynamic or Fixed Bars (30-50) For Swing Trading: - Lookback: 500-1000 bars - Rows: 250 - Session separation: Daily Reset - Profile Width: Dynamic For Position Trading: - Lookback: 1000-3000 bars - Rows: 250 - Use timeframe-specific settings - Profile Width: Extend Forward (20-50 bars) 💡 Pro Tips 1. Combine this indicator with price action analysis - volume confirms what price is telling you 2. Watch for POC convergence with other technical levels (fibonacci, pivot points, moving averages) 3. Volume at extremes (tops/bottoms of heatmap) often indicates exhaustion 4. Session POC from previous sessions often acts as magnet for current session 5. Increase brightness multiplier (1.5-2.5) for clearer visualization on busy charts 6. Use "Number of Sessions to Display" to analyze consistency of volume levels across multiple sessions 🎨 Customization Fully customizable visual appearance: - Gradient colors for volume visualization - POC line thickness, color, and style - Session line colors and visibility - All settings organized in intuitive groups ⚠️ Disclaimer This indicator is a technical analysis tool and should not be used as the sole basis for trading decisions. Always combine volume analysis with proper risk management, fundamental analysis, and other technical indicators. Past performance does not guarantee future results. --- Support & Updates Regular updates and improvements are made to enhance functionality. For questions, suggestions, or bug reports, please use the comments section below. Happy Trading! 📊💹
אינדיקטור Pine Script®
מאת ‎humayunmha‎
MFI Volume Profile [Kodexius]The MFI Volume Profile indicator blends a classic volume profile with the Money Flow Index so you can see not only where volume traded, but also how strong the buying or selling pressure was at those prices. Instead of showing a simple horizontal histogram of volume, this tool adds a money flow dimension and turns the profile into a price volume momentum heat map. The script scans a user controlled lookback window and builds a set of price levels between the lowest and highest price in that period. For every bar inside that window, its volume is distributed across the price levels that the bar actually touched, and that volume is combined with the bar’s MFI value. This creates a volume weighted average MFI for each price level, so every row of the profile knows both how much volume traded there and what the typical money flow condition was when that volume appeared. On the chart, the indicator plots a stack of horizontal boxes to the right of current price. The length of each box represents the relative amount of volume at that price, while the color represents the average MFI there. Levels with stronger positive money flow will lean toward warmer shades, and levels with weaker or negative money flow will lean toward cooler or more neutral shades inside the configured MFI band. Each row is also labeled in the format Volume , so you can instantly read the exact volume and money flow value at that level instead of guessing. This gives you a detailed map of where the market really cared about price, and whether that interest came with strong inflow or outflow. It can help you spot areas of accumulation, distribution, absorption, or exhaustion, and it does so in a compact visual that sits next to price without cluttering the candles themselves. Features Combined volume profile and MFI weighting The indicator builds a volume profile over a user selected lookback and enriches each price row with a volume weighted average MFI. This lets you study both participation and money flow at the same price level. Volume distributed across the bar price range For every bar in the window, volume is not assigned to a single price. Instead, it is proportionally distributed across all price rows between the bar low and bar high. This creates a smoother and more realistic profile of where trading actually happened. MFI based color gradient between 30 and 70 Each price row is colored according to its average MFI. The gradient is anchored between MFI values of 30 and 70, which covers typical oversold, neutral and overbought zones. This makes strong demand or distribution areas easier to spot visually. Configurable structure resolution and depth Main user inputs are the lookback length, the number of rows, the width of the profile in bars, and the label text size. You can quickly switch between coarse profiles for a big picture and higher resolution profiles for detailed structure. Numeric labels with volume and MFI per row Every box is labeled with the total volume at that level and the average MFI for that level, in the format Volume . This gives you exact values while still keeping the visual profile clean and compact. Calculations Money Flow Index calculation currentMfi is calculated once using ta.mfi(hlc3, mfiLen) as usual, Creation of the profileBins array The script creates an array named profileBins that will hold one VPBin element per price row. Each VPBin contains volume which is the total volume accumulated at that price row mfiProduct which is the sum of volume multiplied by MFI for that row The loop; for i = 0 to rowCount - 1 by 1 array.push(profileBins, VPBin.new(0.0, 0.0)) pre allocates a clean structure with zero values for all rows. Finding highest and lowest price across the lookback The script starts from the current bar high and low, then walks backward through the lookback window for i = 0 to lookback - 1 by 1 highestPrice := math.max(highestPrice, high ) lowestPrice := math.min(lowestPrice, low ) After this loop, highestPrice and lowestPrice define the full price range covered by the chosen lookback. Price range and step size for rows The code computes float rangePrice = highestPrice - lowestPrice rangePrice := rangePrice == 0 ? syminfo.mintick : rangePrice float step = rangePrice / rowCount rangePrice is the total height of the profile in price terms. If the range is zero, the script replaces it with the minimum tick size for the symbol. Then step is the price height of each row. This step size is used to map any price into a row index. Processing each bar in the lookback For every bar index i inside the lookback, the script checks that currentMfi is not missing. If it is valid, it reads the bar high, low, volume and MFI float barTop = high float barBottom = low float barVol = volume float barMfi = currentMfi Mapping bar prices to bin indices The bar high and low are converted into row indices using the known lowestPrice and step int indexTop = math.floor((barTop - lowestPrice) / step) int indexBottom = math.floor((barBottom - lowestPrice) / step) Then the indices are clamped into valid bounds so they stay between zero and rowCount - 1. This ensures that every bar contributes only inside the profile range Splitting bar volume across all covered bins Once the top and bottom indices are known, the script calculates how many rows the bar spans int coveredBins = indexTop - indexBottom + 1 float volPerBin = barVol / coveredBins float mfiPerBin = volPerBin * barMfi Here the total bar volume is divided equally across all rows that the bar touches. For each of those rows, the same fraction of volume and volume times MFI is used. Accumulating into each VPBin Finally, a nested loop iterates from indexBottom to indexTop and updates the corresponding VPBin for k = indexBottom to indexTop by 1 VPBin binData = array.get(profileBins, k) binData.volume := binData.volume + volPerBin binData.mfiProduct := binData.mfiProduct + mfiPerBin Over all bars in the lookback window, each row builds up total volume at that price range total volume times MFI at that price range Later, during the drawing stage, the script computes avgMfi = bin.mfiProduct / bin.volume for each row. This is the volume weighted average MFI used both for coloring the box and for the numeric MFI value shown in the label Volume .
אינדיקטור Pine Script®
מאת ‎Kodexius‎
MACD Momentum Structure & Volume Profile Sniper [MTF]**Description and Methodology** This script offers a unique approach to Market Structure by moving away from traditional fractal-based highs and lows (which can be noisy). Instead, it utilizes **MACD Momentum Swings** to identify significant structural points, combined with an automated Fixed Range Volume Profile to pinpoint high-probability entry zones. **1. Why MACD Structure? (The Core Concept)** Traditional "ZigZag" or Fractal indicators rely solely on price action, often leading to fake-outs during low-volume consolidation. * This script defines a "Swing High" only when the MACD Histogram crosses below zero (Momentum shifts Bearish). * This script defines a "Swing Low" only when MACD crosses above zero (Momentum shifts Bullish). By linking structure to momentum, we filter out weak price movements and focus on the true "heartbeat" of the trend. **2. The "Mashup" Synergy: Structure + Volume + Logic** This is not a random combination of indicators. Each component serves a specific step in the trading execution sequence: * **Step 1 (Structure):** The script identifies a Change of Character (CHoCH) based on the MACD peaks described above. * **Step 2 (Liquidity/Value):** When a CHoCH occurs, the script *automatically* draws a **Fixed Range Volume Profile (FRVP)** specifically covering the impulse leg that caused the break. This reveals the "Point of Control" (POC)—the hidden price level where the most volume occurred during the move. * **Step 3 (The Sniper Entry):** The script creates a "Zone" around that POC. It then waits for Price to retrace into this zone. * **Step 4 (Confirmation):** Once the zone is touched, the script monitors a lower timeframe (User selectable, default M1) for a fresh MACD crossover to trigger the final entry signal. **Features** * **Multi-Timeframe Dashboard:** Monitor the MACD Trend direction across 4 different timeframes simultaneously. * **Dynamic Trendlines:** Automatically connects confirmed MACD peaks to visualize trend integrity. * **Fibo Time Zones:** Projects potential future pivot points based on the duration of the previous swing. * **Alert System:** Integrated alerts for Zone Touches and "Sniper" entries (Zone Touch + LTF Momentum Confirmation). **How to Use** 1. **Identify Trend:** Look for the CHoCH labels. Green indicates a shift to Bullish, Red to Bearish. 2. **Wait for Pullback:** Do not chase the break. Wait for price to return to the Yellow POC Zone generated by the Volume Profile. 3. **Entry Trigger:** Watch for the "BUY" or "SELL" marks. These appear only when price hits the zone AND the lower-timeframe momentum aligns with the trade direction. **Settings & Inputs** * **Global MACD:** Adjust the sensitivity of the swing detection (Default 12, 26, 9). * **Sniper Entry:** Select the timeframe used for the final confirmation (e.g., use M1 confirmation for an H1 chart structure). * **VP Settings:** Customize how the Volume Profile looks on the chart. *Disclaimer: This script is intended for educational purposes and market analysis. It does not provide financial advice.*
אינדיקטור Pine Script®
מאת ‎Csmile_‎
6
Absorption PROOF - Absorption PRO (Clean & Smart)Ultra-clean, high-precision absorption reversal strategy.Detects institutional buying/selling pressure using volume-weighted delta proxy and VWAP deviation zones.Smart RSI + early-session range filter automatically separates valid range-bound reversals from trend exhaustion.Green/Red circles → High-probability entries (fully tradable) Small crosses + colored zones → Rejected signals (avoid) Blue dotted lines → Session range ±100% deviation levels (optional) By default: only signals and rejection zones displayed — zero clutter.Minimalist, professional, and deadly accurate on futures & forex (1m–15m).Less noise. Better trades.
אסטרטגיית Pine Script®
מאת ‎Kara_Tools‎
Volume Gaps & Imbalances (Zeiierman)█ Overview Volume Gaps & Imbalances (Zeiierman) is an advanced market-structure and order-flow visualizer that maps where the market traded, where it did not, and how buyer-vs-seller pressure accumulated across the entire price range. The core of the indicator is a price-by-price volume profile built from Bullish and Bearish volume assignments. The script highlights: True zero-volume voids (regions of no traded volume) Bull/Bear imbalance rows (horizontal volume slices) A multi-section Delta Panel, showing aggregated Buy–Sell pressure per vertical sector A clean separation between profile structure, volume efficiency, and delta flows Together, these components reveal market inefficiencies, displacement zones, and fair-value regions that price tends to revisit — making it an exceptional tool for structural trading, order-flow analysis, and contextual confluence. Highlights Identifies true volume voids (untraded price regions), more precisely than standard FVG tools Plots Bull vs Bear volume at each price row for fine-grained imbalance reading Includes a sector-based Delta Grid that aggregates Buy–Sell dominance █ How It Works ⚪ Profile Construction The indicator scans a user-defined Lookback window and divides the full high–low range into Rows. Each bar's volume is allocated into the correct price bucket: Bullish volume when close > open Bearish volume when close <= open This produces three values per price level: Bull Volume Bear Volume Total Volume & Imbalance Profile Rows where no volume at all occurred are marked as volume gaps — signaling true untraded zones, often produced by impulsive imbalanced moves. ⚪ Zero-Volume Gaps (True Voids) Unlike candle-based Fair Value Gaps (FVGs), volume gaps identify the deeper, structural inefficiency: Price moved so fast through a region that no trades occurred at those prices. These areas often attract revisits because liquidity never exchanged hands there. ⚪ Bull/Bear Volume Imbalance Every price row is drawn using two colored horizontal segments: Bull segment proportional to bullish volume Bear segment proportional to bearish volume This reveals where buyers or sellers dominated individual price levels. ⚪ Delta Panel The full volume profile is cut into Summary Sections. For each block, the script computes: Δ = (Bull Volume − Bear Volume) ÷ Total Volume × 100% █ How to Use ⚪ Spot True Voids & Inefficiencies Zero-volume zones highlight where the price moved without trading. These areas often behave like: Refill zones during retracements Targets during displacement Thin regions price slices through quickly Ideal for both SMC-style trading and structural mapping. ⚪ Identify Bull/Bear Control at Each Price Level Broad bullish segments show zones of buyer absorption, while wide bearish slices reveal seller control. This helps you interpret: Where buyers supported the price Where sellers defended a level Which price levels matter for continuation or reversal ⚪ Use Delta Sectors for Contextual Direction The delta panel shows where market pressure is accumulating, revealing whether the profile is dominated by: Bullish flow (positive delta) Bearish flow (negative delta) Neutral flow (balanced or minimal delta) █ Settings Lookback – Number of bars scanned to build the profile. Rows – Vertical resolution of price bins. Source – Price source used to assign volume into rows. Summary Sections – Number of vertical delta sectors. Summary Width – Horizontal size of the delta bar panel. Gap From Profile – Distance between profile and delta grid. Show Delta Text – Toggle Δ% labels. ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
אינדיקטור Pine Script®
מאת ‎Zeiierman‎
27