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SENTINEL SHIFT ViprasolOverview The Sentinel Shift is an original market structure and trend analysis indicator that combines Kaufman Adaptive Moving Average (KAMA) for trend detection with Break of Structure (BOS) and Change of Character (CHoCH) identification for institutional market structure shifts. It is designed for traders seeking clear trend confirmation on all timeframes, from scalping to swing trading. How It Works Core Trend Engine (KAMA) Sentinel Shift uses Kaufman Adaptive Moving Average (KAMA) as its foundation. KAMA is a self-adjusting moving average that measures directional efficiency: ER = abs(close - close ) / sum(abs(close - close ), n) fastSC = 2.0 / (fast + 1) slowSC = 2.0 / (slow + 1) SC = (ER * (fastSC - slowSC) + slowSC)^2 KAMA = KAMA + SC * (close - KAMA ) KAMA responds dynamically to market conditions: - When price moves efficiently (trending), the efficiency ratio approaches 1.0, causing KAMA to use faster smoothing constants and hug price more closely - When price chops (ranging), the efficiency ratio approaches 0.0, causing KAMA to use slower smoothing and filter noise Trend Detection The current trend is determined by comparing close to KAMA: - BULLISH: close > KAMA - BEARISH: close < KAMA Preset Configurations (Fast / Default / Smooth) Three built-in presets auto-tune KAMA parameters for different timeframes: Fast Preset (optimized for 1-15 minute scalping): KAMA Length: 6 Fast Smoothing: 2 Slow Smoothing: 20 Default Preset (balanced for swing trading): KAMA Length: 10 Fast Smoothing: 2 Slow Smoothing: 30 Smooth Preset (optimized for position/daily trading): KAMA Length: 16 Fast Smoothing: 2 Slow Smoothing: 40 Pivot Detection The indicator detects swing highs and lows using configurable lookback periods (pivLeft and pivRight): pivHigh = ta.pivothigh(high, pivLeft, pivRight) pivLow = ta.pivotlow(low, pivLeft, pivRight) These pivot points form the reference levels for structure breaks. Market Structure Tracking Sentinel Shift maintains a continuous market structure state (bullish, bearish, or forming) by tracking the most recent swing high and swing low. A structure variable records the current directional bias: structTrend = 1 (bullish), -1 (bearish), or 0 (neutral) Break of Structure (BOS) A BOS is a directional continuation that breaks a recent swing level within the same trend: Bullish BOS: price closes above the most recent swing high while structTrend >= 0 Bearish BOS: price closes below the most recent swing low while structTrend <= 0 When a BOS fires, the indicator draws a dashed line at the structural level with a "BOS" label, and the signal is available as an alert condition. Change of Character (CHoCH) — Trend Reversal A CHoCH signals a reversal of trend direction — price breaks through the opposing structure level. To filter false signals, CHoCH requires a configurable number of BOS events to have fired first in the previous trend direction (BOS Required Before CHoCH Flip). For example, setting this to 1 requires at least one BOS in the prior trend before a CHoCH can flip the structure. When a CHoCH fires, the indicator: - Draws a solid line at the structural level with a "CHoCH" label - Updates structTrend to the new direction - Resets BOS counters for the new trend - Generates a trend reversal signal (triangular plotshape at KAMA +/- 0.5 ATR) Visualization KAMA Line and Cloud Fill - The KAMA line is plotted in the current trend color (bullish green / bearish red) - A cloud fill extends between close and KAMA, providing visual depth of the trend Bar Coloring - All candles are colored by the trend (bullish green / bearish red), making trend direction immediately obvious Target Pivot Lines - The most recent swing high and low are drawn as horizontal lines (default gray) - When price closes above/below these levels, the lines change color and stop extending forward Dashboard A real-time table displays: - Trend (BULLISH / BEARISH indicator) - Price vs KAMA (ABOVE / BELOW) - Market Structure (BULL STRUCT / BEAR STRUCT / FORMING) - BOS status (last event flagged) - CHoCH status (last event flagged) - Signal status (BUY / SELL / NONE from the trend reversal detection) - Color Mode (CLASSIC / CUSTOM) - Version The dashboard is repositionable (Top Right, Top Left, Bottom Right, Bottom Left) and resizable (Tiny, Small, Normal). Key Features - Kaufman Adaptive Moving Average (KAMA) with self-adjusting smoothing based on directional efficiency - Three preset timeframe configurations (Fast, Default, Smooth) for quick adaptation to scalping, swing, or position trading - Market structure detection with configurable pivot lookback periods (pivLeft, pivRight) - Break of Structure (BOS) identification with dashed level lines and labels - Change of Character (CHoCH) detection with solid level lines and trend reversal signals - Configurable BOS requirement before CHoCH flip (filters false reversals) - KAMA-anchored pivot target lines with color change on break-through - Cloud fill between close and KAMA for visual trend depth - Bar coloring by trend direction - Trend reversal signal (dual-layer triangular plotshape at location.absolute) - Real-time dashboard with trend, structure, BOS, CHoCH, signal status, and preset mode - Color preset selection (Classic green/red or Custom via color pickers) - Four alert conditions (Bullish Reversal, Bearish Reversal, Bull BOS, Bear BOS) with dynamic ticker/interval insertion - Full input groups with comprehensive tooltips for all parameters How to Use 1. Apply to a standard candlestick chart 2. Select a Preset (Fast for scalping, Default for swing, Smooth for position trading) 3. Adjust Pivot Left/Right bars for structure sensitivity (lower = more structures, higher = fewer/stronger) 4. Configure the BOS Required Before CHoCH Flip to filter whipsaw (default 0 = immediate reversal possible) 5. Watch for KAMA trend direction and monitor the dashboard for current structure state 6. Trade BOS events within-trend continuation 7. Trade CHoCH events as trend reversals 8. Use the pivot target lines as reference levels for price reversits Settings Calculation Parameters - Preset: Default, Fast, or Smooth — controls KAMA parameters for the selected timeframe - KAMA Length: efficiency ratio lookback (controls KAMA responsiveness) - Fast Period: KAMA fast smoothing constant (lower = faster KAMA in trends) - Slow Period: KAMA slow smoothing constant (higher = slower KAMA in ranges) Structure Settings - Pivot Left Bars: bars to the left for swing high/low detection - Pivot Right Bars: bars to the right for swing high/low detection - Show BOS: toggle BOS level lines and labels - Show CHoCH: toggle CHoCH level lines and labels - Show Trend Reversal Signal: toggle triangular reversal markers - Max Structure Levels: maximum number of BOS/CHoCH lines retained on chart - BOS Required Before CHoCH Flip: number of BOS events required before trend can reverse via CHoCH Target Lines - Show Pivot Lines: toggle last swing high/low reference lines - Pivot Line Color: color of the target lines - Pivot Line Width: line thickness (1 = thin, 2 = medium, 3 = thick) - Pivot Line Style: Solid, Dashed, or Dotted Visualization Settings - Color Preset: Classic (green/red) or Custom (enables color pickers) - Show Cloud Fill: toggle the cloud between close and KAMA - Color Candles: toggle bar coloring by trend - Show KAMA Line: toggle the KAMA plot - Bull Color: custom bullish color picker (if preset is Custom) - Bear Color: custom bearish color picker (if preset is Custom) Dashboard Settings - Show Dashboard: toggle the dashboard table - Position: Top Right, Top Left, Bottom Right, or Bottom Left - Size: Tiny, Small, or Normal Alerts Four alert conditions with dynamic message insertion ({{ticker}}, {{exchange}}, {{interval}}): 1. SS — Long: Bullish CHoCH reversal signal 2. SS — Short: Bearish CHoCH reversal signal 3. SS — Bull BOS: Break of structure in bullish direction 4. SS — Bear BOS: Break of structure in bearish direction Limitations & Disclaimer - Sentinel Shift is an analytical tool, not a trading system. Always use proper risk management - KAMA and pivot detection work on historical data; intra-bar updates may vary - Structure detection depends on accurate pivot identification — results vary with timeframe and pivot sensitivity settings - This indicator is best used on liquid instruments (stocks, forex, crypto, indices) where order flow is reliable - Past performance does not guarantee future results. This is not financial advice. Credits & Attribution Sentinel Shift is an original indicator created by Viprasol. All logic — KAMA adaptive engine, pivot detection, BOS/CHoCH classification, structure tracking with configurable BOS requirement, reversal signal generation, dashboard layout, and alert conditions — is original work developed specifically for multi-timeframe market structure analysis.
Pine Script® indicator
by viprasol
[ A L P H A X ] Institutional Confluence Suite Institutional Confluence Suite — Volume Profile · Order Blocks · FVG · MTF Matrix · Flow Analysis · Smart Signals The AlphaX Institutional Confluence Suite is a professional-grade multi-layer analysis system built around one core principle: no single tool gives you an edge — confluence does . This indicator fuses six independent institutional analysis engines into a unified real-time dashboard, scoring each bar from 0 to 100 and surfacing only the setups where everything lines up. Designed to be used alongside AlphaX PRIME for the highest-probability entries in the AlphaX ecosystem. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📸 What You See On The Chart POC line — bright yellow-green horizontal line at the highest-volume price of the lookback range Value Area fill — soft green shaded zone between VAH and VAL (68% of volume) HVN box — highlighted rectangle at the most significant high-volume node Order Block lines — dashed orange (bullish) and red (bearish) lines marking institutional order zones FVG boxes — translucent green (bullish) and red (bearish) rectangles where price left imbalance gaps Liquidity Sweep triangles — small triangles marking stop hunts above swing highs or below swing lows BOS dots — tiny circles marking confirmed breaks of market structure Signal triangles — sized by tier (S / A / B), colored by direction — pure triangle up for bull, triangle down for bear. No text, no clutter. Confluence Dashboard — real-time panel showing every engine's status, individual scores, bias direction, and final tier rating ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔬 The Six Engines — How Each One Works ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1 ─ Volume Profile (VPVR) — Where Is The Real Money? The Volume Profile calculates exactly how much volume traded at every price level across your configured lookback window. This is the same tool institutional desks use to identify where liquidity has accumulated. Point of Control (POC) — the single price level with the highest traded volume. Price is magnetically drawn to the POC and tends to reverse or consolidate around it. Trading at the POC means you are operating at the most contested price in the range. Value Area High / Low (VAH / VAL) — the price band containing 68% of all volume. Prices inside the value area are "fair" to the market. Prices outside it are either discounts (below VAL) or premiums (above VAH) — and both tend to revert. High Volume Node (HVN) — the densest cluster of volume outside the POC. HVNs act as strong support and resistance because large orders were filled there. When price approaches an HVN, expect slower movement and potential reversal. Scoring contribution: up to 20 points Full 20 points when price is within 0.5% of the POC. Scaled down with distance. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2 ─ Order Blocks — Institutional Footprints Order Blocks are the last candle before a strong impulsive move — the candle where an institution placed a large directional order. When price returns to that zone, the institution defends its position, creating a high-probability reaction. Bullish Order Block — a bearish candle immediately followed by a strong bullish breakout. The low of that bearish candle is where buy orders were placed. When price returns to this zone, look for long entries. Bearish Order Block — a bullish candle immediately followed by a strong bearish breakdown. The high of that bullish candle is where sell orders were placed. When price returns, look for short entries. Strength Rating — each OB is scored by the momentum of the move that followed it. Higher strength = more institutional conviction = stronger expected reaction on revisit. IN ZONE ✓ — the dashboard highlights when price is currently inside an active order block, making the setup immediately actionable. Scoring contribution: up to 20 points Full 20 points when price is inside the OB zone. Scaled by proximity. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3 ─ Fair Value Gaps (FVG) — Price Imbalance Zones A Fair Value Gap is created when price moves so fast that no two-sided trading occurs — leaving a "gap" in the market that price statistically tends to return and fill. FVGs are one of the most powerful short-term magnets in price action analysis. Bullish FVG — the low of candle N+2 is above the high of candle N, leaving an unfilled zone below current price. Price tends to pull back into this gap before continuing higher. Bearish FVG — the high of candle N+2 is below the low of candle N, leaving an unfilled zone above current price. Price tends to rally into this gap before continuing lower. Only unfilled FVGs are displayed — the indicator automatically removes gaps once price has traded through them. A minimum size filter (configurable as an ATR multiple) prevents tiny, insignificant gaps from cluttering the chart. Dashboard contribution: FVG count display (Bull/Bear active gaps) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 4 ─ Liquidity Sweeps — Stop Hunts & Reversals Liquidity Sweeps occur when price briefly breaks a key swing high or low — triggering stop losses clustered there — before immediately reversing. This is the market's most reliable short-term reversal pattern because it is driven by mechanics, not sentiment. Bullish Sweep — price dips below a recent swing low (triggering stops), then closes back above it. The stops have been hunted. Price is now positioned to move higher with less resistance. Bearish Sweep — price briefly spikes above a recent swing high (triggering stops), then closes back below it. The squeeze is complete. Sweeps appear as small triangles on the chart and also feed into the signal generation logic — a sweep in the direction of overall confluence is one of the strongest entry triggers available. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 5 ─ Multi-Timeframe Confluence Matrix — Are All Timeframes Aligned? The MTF Matrix queries six timeframes simultaneously — M1, M5, M15, H1, H4, and D1 — and evaluates price position relative to both the 50 EMA and 200 EMA on each. Higher timeframes are weighted more heavily because they represent more significant institutional positioning. Each timeframe receives a directional score based on whether price is above or below its EMAs The 200 EMA carries 1.5× the weight of the 50 EMA — macro structure matters more than short-term positioning Higher timeframes (H4, D1) carry 3–4× the weight of lower timeframes (M1, M5) The aggregate score is expressed as a percentage from −100% (fully bearish) to +100% (fully bullish) The dashboard shows each timeframe's arrow (▲ / ▼ / —) so you can instantly see where alignment breaks down Scoring contribution: up to 20 points Full 20 points when MTF alignment matches the price-POC relationship (e.g., fully bullish AND price is above POC). ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6 ─ Institutional Flow — Volume Delta & Divergence The Flow engine estimates the directional bias of volume on each bar using the close position within the bar's range — a proxy for buy-side vs. sell-side pressure. This is then smoothed to produce a clean directional flow signal and tracked for divergence against price. Bullish Flow — smoothed delta is positive and rising. Buyers are in control of order flow. Bearish Flow — smoothed delta is negative and falling. Sellers are dominating. Bullish Divergence — price makes a lower low but flow makes a higher low. Sellers are losing conviction on the new lows — a bullish reversal is building. Bearish Divergence — price makes a higher high but flow makes a lower high. Buyers are losing steam at the new highs — a bearish reversal is building. Divergence signals are highlighted with a ⚠ warning in the dashboard and receive bonus points in the confluence score. Scoring contribution: up to 20 points ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 7 ─ Market Structure — BOS & CHoCH The Market Structure engine tracks the sequence of swing highs and swing lows to determine whether the market is in a bullish or bearish structural trend, and detects when that structure breaks. Break of Structure (BOS) — a confirmed break of the most recent swing high (bullish BOS) or swing low (bearish BOS) in the direction of the existing trend. This confirms trend continuation. Change of Character (CHoCH) — a BOS that occurs against the current trend direction, signaling a potential trend reversal. The market has changed its behavior. Structure trend (bullish / bearish / undefined) is displayed in the dashboard and contributes to both the confluence score and the directional bias vote. Scoring contribution: up to 20 points ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🧠 Confluence Scoring System — 0 to 100 Every bar is scored in real time by summing contributions from all six engines: Volume Profile (POC proximity) — up to 20 points Order Block (zone proximity) — up to 20 points MTF Alignment — up to 20 points Institutional Flow — up to 20 points Market Structure — up to 20 points Score Tiers: S-TIER PRIME (80–100) — All or nearly all engines aligned. The highest probability setup available. Strong entry zone. Large triangle marker on chart. A-TIER HIGH (65–79) — Most engines aligned with minor divergence. High quality setup. Medium triangle. B-TIER MODERATE (50–64) — Partial alignment. Acceptable for experienced traders, prefer to wait for improvement. Small triangle. C-TIER WEAK (30–49) — Insufficient alignment. No signal fires. Wait for confluence to build. NO SETUP (0–29) — Do not trade. Multiple engines are contradicting each other. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 Signal Generation — When Does A Triangle Appear? Signals require ALL of the following to be true simultaneously: Confluence score meets or exceeds your configured minimum (default: 60/100) Directional bias vote is clear — majority of engines agree on direction (MTF, flow, structure, divergence all cast votes) A trigger event fires — either a Liquidity Sweep in the signal direction, OR a Break of Structure + bullish/bearish flow confirmation Signal cooldown has elapsed — prevents repeated signals on consecutive bars This means triangles are rare and meaningful — not every bar. When one appears, every major confluence factor has agreed on the same direction at the same time. Triangle size = tier: Large triangle = S-Tier (score ≥ 80) — highest conviction Medium triangle = A-Tier (score ≥ 65) — strong setup Small triangle = B-Tier (score ≥ 50 but < 65) — moderate setup ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🚀 How To Trade — Step By Step Step 1 — Check The Dashboard For Context Open the dashboard panel. Read the OVERALL MTF alignment first — are all timeframes pointing the same direction? Check the SIGNAL BIAS row — is the directional vote clear or split? Check the SCORE — are you at B-Tier or better? If the score is below 50, no signal will fire and you should wait. Step 2 — Identify The Key Level Is price near the POC? Near the VAH or VAL? Inside an Order Block? Near an unfilled FVG? The more of these levels that overlap at the same price, the stronger the potential reaction zone. The ideal setup is price approaching a POC + OB overlap from the correct direction. Step 3 — Wait For The Trigger Watch for a Liquidity Sweep triangle (small triangle from the sweep engine) at or near your identified level. Or watch for a BOS dot confirming that structure has broken in your direction. Either of these is the "ignition" event that tells you momentum has shifted. Step 4 — Enter On The Signal Triangle When a large (S-Tier) or medium (A-Tier) signal triangle appears, this is your primary entry. The triangle has already confirmed: score threshold met, bias agreed, trigger fired, cooldown clear. Enter in the direction of the triangle. For bullish triangles (▲), go long. For bearish triangles (▼), go short. Step 5 — Place Your Stop Loss For long entries: stop below the Order Block low, or below the VAL, whichever is closer. For short entries: stop above the Order Block high, or above the VAH. Use the FVG zones as your first take-profit target — price tends to fill gaps before continuing. Step 6 — Manage The Trade Watch the dashboard for any shift in the SIGNAL BIAS or a sudden drop in confluence score. If the score drops below 40 during your trade, consider reducing position or tightening your stop. If an opposing signal triangle appears, close the trade — the confluence has flipped direction. Step 7 — Know When NOT To Trade Score below 50: no setup — wait. MTF matrix showing mixed signals (some ▲, some ▼ across timeframes): market is indecisive — wait. SIGNAL BIAS showing "— NEUTRAL": the engines disagree on direction — wait. No active OB detected and price is far from POC: no institutional level nearby — wait. FVG shows active gaps above AND below price: the market is caught between two magnets — wait. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🛡 Used As A Filter — Pairing With AlphaX PRIME The Confluence Suite is designed to work alongside AlphaX PRIME as a two-layer system: PRIME generates precise entry triggers — the timing layer CONFLUENCE provides the context and quality filter — the intelligence layer The three rules: PRIME signal + S or A-Tier confluence = take the trade at full size PRIME signal + B-Tier confluence = reduce size or wait for score to improve High confluence zone + no PRIME signal yet = pre-position alert — watch for PRIME to trigger PRIME signal + score below 50 = skip — confluence does not support the entry This pairing eliminates the two biggest trading mistakes: entering good signals at bad locations, and entering bad signals at good locations. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚡ Key Features 📊 Live Volume Profile (VPVR) with POC, Value Area (VAH/VAL), and High Volume Node detection 🟧 Institutional Order Block detection with strength scoring and zone proximity alerts ⬜ Fair Value Gap detection with automatic fill tracking — only unfilled gaps displayed 🌊 Liquidity Sweep detection — identifies stop hunts at swing highs and lows 🔢 Six-timeframe MTF matrix (M1 / M5 / M15 / H1 / H4 / D1) with dual-EMA scoring and higher-TF weighting 📈 Institutional Flow engine — volume delta proxy with divergence detection 🏗 Market Structure tracking — BOS and CHoCH with trend state memory 🧠 Real-time confluence scoring (0–100) across all engines simultaneously 🎯 S / A / B tier signal system — triangle size reflects setup quality 📋 Directional bias vote — majority-rules engine agreement required for signal ⏱ Configurable signal cooldown — prevents consecutive duplicate signals 🔔 Tier-based alerts — S / A / B tier bull and bear alerts fire independently for custom notification routing 🎨 Full AlphaX color theme — yellow-green for bullish, red for bearish, amber for caution, gray for neutral ⚙ Fully configurable — every engine can be independently enabled or disabled ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙ Settings Reference Volume Profile Enable Volume Profile — master toggle Visible Range Lookback — number of bars used to build the profile (default: 100) Profile Rows — price resolution of the profile (default: 24) Show POC / Value Area / HVN — individual visibility toggles Value Area % — percentage of volume defining the value area (default: 68%) Order Blocks Enable Order Block Detection — master toggle OB Lookback Period — bars to scan for order block candles (default: 20) Show Bullish / Bearish OB — individual direction toggles OB Extend Bars — how far right the OB lines extend (default: 20) Fair Value Gaps Enable FVG Detection — master toggle FVG Min Size (ATR multiple) — minimum gap size to qualify (default: 0.3× ATR) FVG Extend Bars — how far right boxes extend (default: 30) Show Bullish / Bearish FVG — individual direction toggles Liquidity Sweeps Enable Liquidity Sweep Detection — master toggle Swing Lookback — pivot lookback for identifying swing highs/lows (default: 20) Sweep Threshold — sensitivity for detecting the sweep and close-back (default: 0.5 ticks) MTF Confluence Matrix Enable MTF Matrix — master toggle Include M1 / M5 / M15 / H1 / H4 / D1 — individual timeframe toggles Institutional Flow Enable Flow Analysis — master toggle Flow Period — EMA period for delta smoothing (default: 14) Flow Smoothing — SMA period applied after EMA (default: 3) Market Structure Enable Market Structure — master toggle Structure Lookback — bars used for swing detection context (default: 50) Signals Enable Signal Markers — master toggle for triangle plotting Min Confluence Score to Plot — minimum score required for a triangle to appear (default: 60) Signal Cooldown (bars) — minimum bars between consecutive signals (default: 3) Dashboard Show Confluence Dashboard — master toggle Dashboard Position — Top Right / Top Left / Bottom Right / Bottom Left Compact Mode — hides secondary rows for a smaller panel footprint ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔔 Alert Conditions S-Tier Bull Signal — highest quality bullish confluence (score ≥ 80) A-Tier Bull Signal — strong bullish confluence (score 65–79) B-Tier Bull Signal — moderate bullish confluence (score 50–64) S-Tier Bear Signal — highest quality bearish confluence (score ≥ 80) A-Tier Bear Signal — strong bearish confluence (score 65–79) B-Tier Bear Signal — moderate bearish confluence (score 50–64) Any Confluence Signal — fires on any bull or bear signal regardless of tier Bullish Liquidity Sweep — stop hunt below swing low with close-back above Bearish Liquidity Sweep — stop hunt above swing high with close-back below Bullish BOS — break of structure to the upside Bearish BOS — break of structure to the downside Bullish Flow Divergence — price lower low with flow higher low Bearish Flow Divergence — price higher high with flow lower high Prime Setup Detected — fires when score crosses above 80 for the first time All alert messages include {{ticker}} and {{interval}} placeholders for webhook integration. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 Recommended Settings By Instrument XAUUSD (Gold) — 1m / 5m Lookback: 100, Rows: 24, Min Score: 60, Cooldown: 3 All engines enabled, MTF full 6-timeframe Forex Majors — 5m / 15m Lookback: 80, Min Score: 55, Cooldown: 5 Disable M1 from MTF matrix for cleaner readings Indices (NAS100, US30) — 1m / 5m Lookback: 120, Rows: 30, Min Score: 65 Increase OB lookback to 30 for index session structure Higher Timeframes (H1 / H4) Lookback: 200, Rows: 36, Min Score: 70, Cooldown: 2 Disable M1 and M5 from MTF matrix ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 👥 Who This Is For 🥇 Institutional-style traders — traders who already understand order flow, volume profile, and smart money concepts will find this system speaks their language natively 📊 Multi-timeframe traders — the MTF matrix makes top-down analysis automatic and quantified 🎯 Precision entry traders — the six-engine confluence requirement means signals are rare but high-quality 🧠 Systematic traders — the scoring system removes subjectivity and gives every setup a quantitative rating 📈 Trend and momentum traders — the structure and flow engines confirm that momentum supports the direction before a signal fires ⚠ Traders who struggle with overtrading — the minimum score requirement and cooldown mechanically prevent low-quality entries from appearing 🔗 AlphaX PRIME users — this indicator is the official confluence layer designed to work alongside PRIME as a complete two-part system ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📝 Notes All signals are generated on bar close — no repainting The Volume Profile recalculates on the final bar of each lookback window — on lower timeframes with many bars, allow a moment for the profile to initialize Order Block detection resets each bar and only draws levels within 5% of current price — this prevents stale OBs from causing chart zoom-out on instruments with large historical price ranges FVG boxes are automatically cleaned and redrawn each bar — only the most recent unfilled gap in each direction is displayed to avoid clutter MTF data uses barmerge.lookahead_off — no future data is used in any calculation Maximum 500 labels, lines, and boxes are maintained — on very long chart histories, oldest drawings are automatically removed by TradingView's limits ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠ Disclaimer This indicator is a technical analysis and visualization tool intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. All signals are generated from historical and real-time price data using mathematical calculations — their accuracy or profitability is not guaranteed. Past performance of any signal type does not guarantee future results. Always conduct your own analysis, use proper risk management, and consult a licensed financial advisor before making any trading decisions. The author accepts no responsibility for any losses incurred from the use of this indicator. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Six engines. One score. Only the best setups make it through.
Pine Script® indicator
by AlphaX-Trade
4
ES Algorithmic Order Flow: Tracking the Institutional FootprintA lot of retail traders are getting chopped up trying to pick tops and bottoms on the ES this week. If you strip away the lagging indicators and look strictly at the algorithmic order flow the picture becomes incredibly clear I have my custom Institutional MTF Dashboard running alongside our Smart Money Footprint engine here on the chart, and you can see the exact moments where volume anomalies overlap across the 15-minute and 1-hour timeframes. When the footprint highlights a massive supply sweep and the dashboard flashes a volume surge in absolute alignment, that is smart money stepping in to aggressively absorb retail liquidity. I originally engineered these tools specifically to filter out the noise for prop firm execution models. I decided to open-source the visual UI versions on my profile so you guys can see the mechanics and the math for yourselves. Stop trading blind, for those running serious capital who need this exact execution logic hardcoded into low-latency C# or Python automated bots, you know where to find my inbox.
Pine Script® indicator
by EduardoCTS
Institutional Multi-Timeframe Dashboard Trend & Volume AlignmentStop getting chopped up by micro-trends. Institutional algorithms do not care about your 1-minute chart, they align execution across macro timeframes. I originally engineered this Multi-Timeframe (MTF) Dashboard for our prop firm traders to give them a heads-up display of algorithmic trend alignment and volume anomalies across the 15m, 1H, and 4H charts simultaneously. When all three timeframes light up with a "Volume Surge" and align in the same direction, that is where the high-probability asymmetry lies. I decided to open-source the visual UI for the TradingView community. Use it to filter your discretionary entries. However, if you are running serious capital and need this exact logic hardcoded into a fully automated, low-latency execution bot for NinjaTrader 8 or MetaTrader 5, send me a private message (DM), my team specializes in custom algorithmic architecture and B2B systems.
Pine Script® indicator
by EduardoCTS
Institutional Smart Money Footprint (Volume Anomalies) by:EduardMost retail traders rely on moving averages and lagging oscillators, completely missing the fact that the market is governed by liquidity sweeps and algorithmic volume anomalies, I developed this stripped-down version of our institutional footprint tracker to map where the "Smart Money" is aggressively stepping in. This engine doesn't just look at price action, it cross-validates extreme spread expansions with 150%+ volume surges to plot high-probability Demand and Supply blocks directly on your chart. When a whale moves, they leave a mathematical footprint. This algorithm highlights it. If you are a discretionary trader, use these zones as hard exhaustion/reversal levels, if you are running a prop firm or need to translate complex logic like this into a fully automated, low-latency execution bot, my team specializes in custom algorithmic architecture (Pine Script, Python, and C#), feel free to study the open-source code or reach out directly for custom B2B engineering.
Pine Script® indicator
by EduardoCTS
Volume Profile█ VOLUME PROFILE Volume-at-Price Analysis with POC, VAH & VAL A powerful volume-at-price analysis overlay that calculates and visualizes the Point of Control (POC) , Value Area High (VAH) , and Value Area Low (VAL) directly on your chart. It reveals where the most trading activity occurred and provides real-time price position analysis — helping you identify high-probability support/resistance levels and mean-reversion zones. Free and Open Source. █ THE CONCEPT: WHY VOLUME PROFILE MATTERS Price charts show when trading happened. Volume Profile shows where it happened. The distribution of volume across price levels reveals the market's true valuation zones: Point of Control (POC) — The price with the highest accumulated volume. Acts as a magnet for price and the strongest single S/R level. Value Area (70%) — The range containing 70% of all traded volume. Defines what the market considers "fair value." Above/Below VA — Price outside the value area signals potential overextension or breakout. Institutional traders, market makers, and algorithmic systems all reference volume profile levels. █ CORE FEATURES 1. Volume Profile Engine Distributes each bar's volume proportionally across the price rows it spans, building a precise volume-at-price histogram: POC — Highest volume row = strongest support/resistance VAH — Upper boundary of the 70% value area = resistance VAL — Lower boundary of the 70% value area = support Row count is configurable (10-50 levels). 2. Profile Anchoring Three anchor modes control how the profile is built: Rolling — Continuously recalculated over the last N bars. Best for real-time analysis. Session — Resets every new trading day. Best for intraday context. Week — Resets every new trading week. Best for swing context. 3. Price Position Analysis Real-time classification of price relative to the value area: ABOVE VA — Potential overextension or breakout BELOW VA — Potential undervaluation or breakdown AT POC — High-probability mean-reversion zone IN VA — Normal trading range 4. Bounce & Rejection Signals Automatic detection of price interaction with key volume levels: POC Bounce Up/Down — Price touches POC and reverses VAL Rejection — Price tests VAL and bounces up (bullish) VAH Rejection — Price tests VAH and bounces down (bearish) 5. Volume Histogram Visualization A horizontal bar chart displayed directly on the price chart showing the volume distribution. POC row highlighted with a distinct color. █ AUTO-TIMEFRAME ADAPTATION All parameters automatically adjust based on the chart timeframe: 1-5 min → Lookback 30, 18 Rows, Histogram Width 8 15-30 min → Lookback 40, 20 Rows, Histogram Width 10 1 Hour → Lookback 50, 24 Rows, Histogram Width 15 4 Hour → Lookback 70, 28 Rows, Histogram Width 18 Daily → Lookback 100, 32 Rows, Histogram Width 22 Weekly+ → Lookback 150, 40 Rows, Histogram Width 30 █ DASHBOARD A compact, dark-themed info panel displaying: POC — Current Point of Control price level VAH / VAL — Value Area boundaries Position — Current price position (ABOVE VA / BELOW VA / AT POC / IN VA) To POC — Distance from current price to POC in percent Anchor — Active profile anchor mode VA Range — Width of the value area in price units █ ALERTS (4 CONDITIONS) POC Bounce Up — Bullish bounce off the Point of Control POC Bounce Down — Bearish bounce off the Point of Control VAL Rejection — Bullish rejection at Value Area Low VAH Rejection — Bearish rejection at Value Area High █ NON-REPAINTING The volume profile is calculated from confirmed bar data only. Rolling mode recalculates the full lookback window on each bar using historical high/low/volume — no future data is used. Session and Week modes accumulate incrementally within the anchor period. No repainting. █ WORKS ON Crypto, Forex, Stocks, Futures, Indices — any timeframe from 1 minute to Monthly. █ DISCLAIMER This indicator is for educational and informational purposes only. It does not constitute financial advice. Always do your own research and manage your risk. Past performance does not guarantee future results. Trading involves substantial risk of loss.
Pine Script® indicator
by alphachart_tv
[ A L P H A X ] Prism Price Action Institutional FlowAlphaX Prism — Price Action × Key Levels × Institutional Flow | Confluence Engine, Smart Entry/Exit Signals & Multi-Factor Confidence Scoring AlphaX Prism is a professional-grade price action and confluence trading system that fuses three powerful analytical dimensions into a single, cohesive overlay indicator: automatic Key Level detection, real-time Price Action pattern recognition, and Institutional Footprint tracking. Every signal is governed by a 10-factor confluence scoring engine and a weighted confidence percentage system — so only high-quality, structurally valid setups reach your chart. Designed for traders who want clean, context-aware signals rooted in market structure rather than lagging oscillators. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔬 The Three Pillars of AlphaX Prism AlphaX Prism operates across three simultaneous analytical layers, each feeding into the central confluence engine: I. Key Level Engine — Automatic Support & Resistance Detection The Key Level engine automatically identifies, tracks, and manages the most significant support and resistance zones on your chart using swing pivot detection. Rather than drawing static lines, AlphaX Prism builds intelligent zones that evolve as price interacts with them. How the Key Level engine works: Swing Pivot Detection — identifies significant highs and lows using a configurable swing length parameter Zone Merging — nearby levels within a configurable ATR-based threshold are merged into a single consolidated zone, preventing level clutter Touch Counting — each zone tracks how many times price has interacted with it. Zones below the minimum touch threshold appear in neutral gray; confirmed zones flip to color-coded support (yellow-green) or resistance (red) Zone Age Management — zones older than a configurable bar count are automatically retired and removed, keeping your chart focused on relevant levels only Dynamic Extension — all zones and lines extend to the right edge of the chart in real time Key Level signals feed directly into the confluence engine and generate specific condition flags: Price at Support — price is currently trading within a confirmed support zone Price at Resistance — price is currently trading within a confirmed resistance zone Bounce from Support — price touched support and closed bullish with a meaningful body — the highest-value condition for long setups Rejection from Resistance — price touched resistance and closed bearish with a meaningful body — the highest-value condition for short setups ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ II. Price Action Pattern Engine — What the Candles Are Saying AlphaX Prism recognizes five core price action patterns in real time, each validated with additional filters to reduce false triggers: Bullish / Bearish Engulfing A bullish candle that fully engulfs the prior bearish candle (or vice versa), with a meaningful body ratio and a candle range above a minimum ATR threshold. Engulfing patterns receive the highest PA score in the confluence engine and trigger a dedicated marker on the chart when occurring at a key level or in the direction of the established trend. Bullish / Bearish Pin Bar A candle with a wick at least 2.5× the body length, where the wick is significantly larger than the opposing wick, and the close is in the upper or lower half of the candle's range respectively. The candle must meet a minimum ATR size threshold to qualify. Inside Bar Breakout When a candle is fully contained within the prior candle's range (inside bar), the next candle breaking out above or below that range — with a directional close and a meaningful body — triggers an inside bar breakout marker. A controllable toggle allows you to enable or disable this pattern type independently. Momentum Shift (3-Bar Reversal) Two consecutive candles in one direction followed by a third candle that breaks the prior candle's extreme and closes with a body ratio above 0.5. This pattern captures short-term momentum reversals within the context of a broader structure. Strong Directional Candle A candle with a body ratio above 0.65 and a body size exceeding the average body — used as a supplementary structural signal within the confluence engine. Pattern markers are context-filtered — they only appear when occurring at a key level, aligned with the trend structure, or accompanied by a bounce/rejection confirmation. This eliminates random pattern signals in the middle of nowhere. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ III. Institutional Footprint — Tracking Large Money Flow Retail price action alone does not tell the full story. AlphaX Prism tracks two types of institutional activity that are invisible to most traders: Institutional Candles — Directional Large-Body Moves A bullish or bearish candle whose body exceeds the 20-bar average body by a configurable multiplier (default: 1.8×) Volume exceeds the moving average by a configurable multiplier (default: 1.3×) Body ratio above 0.55, with a close in the upper or lower third of the range — confirming directional conviction These appear as bright colored dots at the bottom of the chart (yellow-green for bull, red for bear) Absorption Candles — Hidden Accumulation and Distribution A large wick (more than 2× the body) with high volume — indicating large orders absorbing supply or demand without a visible directional body The wick must be at least 1.5× larger than the opposing wick, and the candle range must exceed the ATR minimum These appear as dimmer dots at the bottom of the chart — subtler activity, but often a precursor to a directional move Volume Spikes — when high volume occurs without an institutional candle pattern, a neutral gray dot appears — flagging elevated participation without clear directional conviction. Institutional activity feeds into the confluence engine and acts as a significant signal amplifier when aligned with price action and key levels. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 Two Signal Layers AlphaX Prism produces two distinct signal types, each serving a specific role in the trade lifecycle: 1 ─ Entry Signals (▲ / ▼) Entry signals are generated when the confluence engine determines that enough independent factors are aligned simultaneously. A bullish entry (▲) or bearish entry (▼) label appears offset from the bar with a dotted connector line for visual clarity. Entry signals require ALL of the following to fire: Confluence score meets or exceeds the minimum threshold (default: 4 out of 10 factors) A qualifying Price Action pattern is present A structural reason exists (key level, institutional candle, or trend context) The candle is clean — not overextended, not at an RSI extreme, and with a meaningful body ADX confirms a trending environment (not a ranging, directionless market) Signal cooldown has elapsed since the last signal When both bull and bear conditions trigger simultaneously, the higher-confluence side wins. If scores are equal, no signal fires — tie goes to caution. 2 ─ Exit Signals (✕) Exit signals fire after an entry signal has been established and a reversal condition develops. They are filtered by the same cooldown as entries to prevent rapid oscillation. Long Exit — price reaches a resistance zone and a bearish engulfing forms, or the trend shifts down with price below the medium EMA and MACD bearish, or an institutional selling candle closes below the fast EMA, or RSI is overbought with a bearish pattern Short Exit — the inverse of the above conditions for a long exit Exit signals indicate that the momentum behind the current trade is deteriorating. Use them to take partial or full profit, or to tighten your stop loss ahead of a potential reversal. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🧠 10-Factor Confluence Scoring System Every bar is evaluated against ten independent confluence factors — each one a separate reason to consider a trade. Only setups where enough factors align simultaneously are displayed. The 10 Confluence Factors: 1. Key Level — price is bouncing from support or rejecting resistance (highest weight) 2. Price Action Pattern — any qualifying PA pattern is present 3. Strong Pattern Bonus — engulfing or momentum shift (higher-conviction PA types) 4. Institutional Activity — institutional candle or absorption present in signal direction 5. Trend Structure — swing-based trend direction (HH/HL or LL/LH) aligns with signal 6. MACD Momentum — MACD line above/below signal line and histogram expanding in signal direction 7. RSI Alignment — RSI slope rising/falling within the mid-range zone (not extreme) 8. RSI Divergence — price makes a new extreme but RSI does not confirm, signaling exhaustion 9. Volume — current volume exceeds the moving average in the signal direction 10. EMA Alignment — fast, medium, and slow EMAs are stacked in the signal direction, or price is positioned correctly relative to the 200 EMA The score (0–10) is displayed in the dashboard alongside a weighted confidence percentage (0–100%) and a letter grade (D through A+). ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 Weighted Confidence Engine In addition to the 10-factor binary confluence score, AlphaX Prism computes a weighted confidence percentage that assigns different point values to each factor based on its structural importance. Bull / Bear Confidence Scoring Breakdown: Bounce from Support / Rejection from Resistance — up to 18 points (the single most important condition in price action trading) Price at Key Level without confirmed bounce/rejection — 12 points PA Pattern Type — Engulfing: 14 pts | Momentum Shift: 12 pts | Pin Bar: 10 pts | Inside Bar Break: 8 pts Institutional Candle — 12 points | Absorption: 8 points Trend Structure Aligned — 10 points | Structural confirmation only: 6 points MACD Momentum — both line and histogram aligned: 6 pts | line only: 3 pts RSI Slope in Range — 5 points RSI Divergence — 8 points Volume Spike — 6 points | Above average: 3 points EMA Trend Fully Aligned — 8 points | Price above/below 200 EMA only: 3 points ADX Strong — 6 points Penalty Deductions: RSI at opposite extreme — -12 points (signal in wrong RSI zone) Counter-trend direction — -15 points (trading against the established structure) ADX weak / no trend — -6 points Price overextended from EMA — -8 points No PA pattern at all — -10 points (structure without a trigger is not enough) Below average volume — -4 points Letter Grade Scale: A+ — 70% and above: exceptional confluence, all major factors aligned A — 55–69%: high-quality setup with strong structural backing B — 40–54%: good setup with most factors aligned C — 25–39%: marginal setup, use caution and tighter risk management D — below 25%: weak confluence, typically filtered out before display ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📐 EMA System Three Exponential Moving Averages provide structural context for trend bias and signal filtering: Fast EMA (21) — yellow-green cross markers — the immediate momentum reference. When price holds above the Fast EMA, intrabar momentum favors longs. Medium EMA (50) — gray line — the intermediate trend filter. Slope direction confirms trend momentum across recent bars. Slow EMA (200) — dark gray line, thicker — the structural backbone. Price position relative to the 200 EMA contributes to the confidence score and defines the macro bias. EMA Fan Analysis: All three EMAs fanning outward in order (Fast > Medium > Slow for bullish) — healthy trend, re-entry signals carry higher confidence EMAs converging — trend is weakening, expect chop or reversal EMAs tangled and flat — range-bound market, step aside and wait for structure to return ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 Trend Structure Detection AlphaX Prism tracks swing-based market structure using configurable pivot detection: Uptrend (▲ UPTREND) — confirmed when the most recent significant high is higher than the prior high AND the most recent significant low is higher than the prior low (Higher Highs + Higher Lows) Downtrend (▼ DOWNTREND) — confirmed when the most recent significant high is lower than the prior high AND the most recent significant low is lower than the prior low (Lower Highs + Lower Lows) A configurable cooldown prevents label spam during choppy structure transitions The trend structure direction is used as a directional filter and adds directly to the confluence score. Signals trading against the identified structure receive a significant confidence penalty. ADX is calculated alongside the swing structure to confirm whether the trend has sufficient momentum. The ADX threshold (default: 22) prevents signals from firing during flat, low-conviction periods — regardless of how many other factors align. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📈 RSI Divergence Detection AlphaX Prism includes a built-in RSI divergence scanner that runs continuously alongside all other analysis: Bullish Divergence — price makes a lower low but the RSI pivot low is higher than the prior RSI low — indicating weakening bearish momentum Bearish Divergence — price makes a higher high but the RSI pivot high is lower than the prior RSI high — indicating weakening bullish momentum Divergences are validated against pivot lookback windows to ensure they represent meaningful structural shifts rather than random oscillator noise. When detected, they are marked with small diamond shapes and contribute up to 8 points to the confidence score. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🚀 How to Trade with AlphaX Prism — Step by Step Step 1 — Read the Dashboard Check PRICE POSITION: Is price bouncing from support, rejecting resistance, or between levels? Check TREND: Is structure bullish, bearish, or ranging? Check ADX: Is there a trending environment, or is it weak and directionless? Check PA PATTERN: Is there a qualifying candle pattern on the current bar? If VERDICT reads "WEAK TREND — WAIT" or "NO PA PATTERN — WAIT" → do not enter. Preserve capital. Step 2 — Wait for an Entry Signal A ▲ or ▼ signal label appears when all mandatory conditions are met Check the dashboard for the BULL SCORE or BEAR SCORE and the letter grade — higher grades represent cleaner, higher-probability setups An A or A+ grade at a confirmed key level with institutional activity is the highest-conviction setup the system can produce Step 3 — Confirm the Setup Manually Review FACTORS in the dashboard — which of the 10 conditions are confirmed? Look for a Bounce from Support or Rejection from Resistance as the anchor Verify that volume is above average and the institutional footprint dots support the direction Place your stop loss beyond the recent swing high/low or beyond the key level zone Step 4 — Manage the Trade Monitor the dashboard for changes in trend, RSI state, and institutional flow If the VERDICT shifts from your trade direction, begin tightening your stop loss Use subsequent entry signals in the same direction as opportunities to add to a winning position Step 5 — Exit on the ✕ Mark When an exit marker appears, the system has detected a counter-trend structural condition Take partial or full profit Do not immediately reverse — wait for a new entry signal in the opposite direction before committing to a new trade ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚡ Key Features 🏗 Automatic Key Level detection with zone merging, touch counting, and age management 🕯 Five Price Action pattern types — Engulfing, Pin Bar, Inside Bar Breakout, Momentum Shift, and Strong Directional Candle 🏦 Institutional footprint tracking — directional institutional candles and absorption patterns with volume validation 🧠 10-factor confluence binary score + weighted percentage confidence engine with A+ to D letter grading 📐 Three EMAs (21 / 50 / 200) for structural context, fan analysis, and trend bias 📉 Swing-based trend structure detection with HH/HL and LL/LH logic and a configurable trend label cooldown ⚡ ADX integration — prevents signals from firing in low-conviction, ranging environments 💎 RSI divergence scanner — continuously monitors for bullish and bearish momentum divergence 📊 MACD momentum engine — directional and histogram-based momentum alignment ✕ Context-aware exit signals — fire only after an active entry and only under specific structural reversal conditions 🖥 Fully featured dashboard — price position, PA pattern, institutional activity, trend, EMA, RSI, volume, confluence scores, verdict, and last signal details all in one panel 🎨 Cohesive dual-tone color theme — yellow-green for bullish, red for bearish, gray for neutral and weak conditions 🔔 8 alert conditions — long/short signals, engulfing at key levels, institutional candles, and RSI divergences ⚙ Fully configurable — all swing lengths, thresholds, ATR multipliers, confluence minimums, EMA periods, colors, and display toggles are adjustable from the settings panel ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙ Settings Reference Key Levels Key Level Swing Length — pivot detection lookback for support/resistance identification (default: 8) Merge Zones (x ATR) — how close two levels must be to merge into a single zone (default: 1.2× ATR) Max Active Zones — maximum number of key level zones displayed simultaneously (default: 6) Zone Max Age (bars) — how many bars before a zone is retired and removed (default: 250) Show Key Level Zones — toggle zone box fills Show Key Level Lines — toggle dotted center lines Min Touches to Confirm — how many interactions before a zone is considered confirmed and color-coded (default: 2) Price Action Show PA Pattern Markers — toggle all price action pattern markers Min Body Ratio (Engulf) — minimum body-to-range ratio required for engulfing patterns (default: 0.4) Pin Bar Wick Ratio — minimum wick-to-body ratio required for pin bars (default: 2.5) Show Inside Bar Breakouts — enable/disable inside bar breakout signals Show Momentum Shift — enable/disable 3-bar momentum shift detection Institutional Flow Inst. Body Size (x Avg) — body size multiplier required for institutional candle detection (default: 1.8) Inst. Volume (x Avg) — volume multiplier required for institutional candle detection (default: 1.3) Show Institutional Candles — toggle all institutional footprint dots Trend Context Trend Swing Length — pivot lookback for trend structure HH/HL/LL/LH detection (default: 12) Show Trend Shift Labels — toggle UPTREND/DOWNTREND structural labels Trend Label Cooldown — minimum bars between consecutive trend labels (default: 18) ADX Length — period for ADX trend strength calculation (default: 14) ADX Trend Threshold — minimum ADX value required to permit signal generation (default: 22) Momentum RSI Length — period for RSI calculation (default: 14) Show RSI Divergence — toggle the RSI divergence scanner and markers Volume Volume MA Length — period for volume moving average used in all volume comparisons (default: 20) EMA Settings Show Fast / Medium / Slow EMA — individual visibility toggles for each EMA Fast EMA Length — default: 21 Medium EMA Length — default: 50 Slow EMA Length — default: 200 Confluence Engine Min Confluence Score — minimum number of the 10 factors required to permit signal generation (default: 4) Show Entry Signals — toggle all ▲ / ▼ entry signal labels Signal Cooldown (bars) — minimum bars between consecutive signals (default: 12) Show Exit Signals — toggle all ✕ exit signal markers Display Show Dashboard — toggle the full dashboard panel Dashboard Position — Top Right / Top Left / Bottom Right / Bottom Left Dashboard Text Size — Tiny / Small / Normal Dashboard Background — configurable background color Theme Colors Bull Primary / Bright / Dim — the yellow-green family for all bullish elements Bear Primary / Bright / Dim — the red family for all bearish elements Support / Resistance / Neutral Zone Colors — configurable zone color scheme Pattern Color — marker color for price action pattern labels Institutional Color — dot color for institutional footprint markers Individual EMA Colors — Fast (yellow-green), Medium (gray), Slow (dark gray) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔔 Alert Conditions Prism Long Signal — fires when a confirmed ▲ entry signal appears Prism Short Signal — fires when a confirmed ▼ entry signal appears Engulf at Support — fires when a bullish engulfing pattern forms at a confirmed support zone Engulf at Resistance — fires when a bearish engulfing pattern forms at a confirmed resistance zone Institutional Buying — fires when an institutional bullish candle is detected Institutional Selling — fires when an institutional bearish candle is detected RSI Bull Divergence — fires when a confirmed bullish RSI divergence is detected RSI Bear Divergence — fires when a confirmed bearish RSI divergence is detected All alert messages include {{ticker}} and {{interval}} placeholders for clean webhook and bot integration. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 Default Settings — Optimized For The default configuration is tuned for intraday trading on XAUUSD, forex majors, and indices (NAS100, US30, SPX500) on timeframes from M1 to H1. For best results across different instruments: Higher timeframes (H1, H4) — increase Trend Swing Length to 18–25, increase Min Confluence to 5–6, increase Signal Cooldown to 20–30 Volatile instruments (Gold, NAS100) — use defaults or increase ADX threshold to 25 for tighter trend filtering Forex majors (EURUSD, GBPUSD) — reduce Inst. Body Size multiplier to 1.5, keep defaults otherwise Calmer instruments — reduce ADX threshold to 18–20, reduce Min Confluence to 3 Fewer, cleaner signals — increase Min Confluence Score, increase ADX Threshold, increase Signal Cooldown More frequent signals — decrease Min Confluence Score to 3, decrease Signal Cooldown to 8, reduce ADX Threshold to 18 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 👥 Who This Is For 🥇 Price action traders — built on the foundations of PA trading: key levels, candlestick patterns, and structural context, with no dependence on arbitrary indicator signals 🏦 Traders who want to track institutional activity — the footprint engine highlights where large money is likely entering and exiting the market 📊 Confluence-based traders — the 10-factor scoring system provides a systematic, quantified framework for evaluating setups rather than relying on intuition alone 🧠 Systematic and discretionary traders alike — the dashboard makes every condition transparent and readable at a glance, while the alert system supports fully automated notification workflows 📈 Traders who struggle with overtrading — the mandatory ADX filter, PA pattern requirement, and minimum confluence threshold physically prevent weak or unqualified setups from generating signals 🎨 Traders who value clean, uncluttered charts — all elements follow a cohesive color theme, and the system is designed to show you only what matters, when it matters ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📝 Notes All signals are calculated on bar close — AlphaX Prism is non-repainting. A signal that appears will not disappear on the next bar. The key level zone boxes extend to the right edge of the chart in real time. As new bars form, zones that have aged beyond the maximum bar count are automatically removed. RSI divergence detection uses a 5-bar pivot lookback on each side — divergences are confirmed only when the current bar is within 3 bars of the pivot, and the two pivots are between 5 and 50 bars apart, ensuring only meaningful divergences are flagged. Designed for M1 through H1 timeframes. On daily or weekly charts, the ADX and confluence filters still function, but key level zone density may need adjustment via the swing length and max zones settings. Maximum 500 labels and 500 boxes are used — on very low timeframes with extended chart history, oldest elements may be automatically removed by TradingView's rendering limits. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠ Disclaimer This indicator is a technical analysis and visualization tool intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. All signals are generated from historical and real-time price data using mathematical calculations — their accuracy or profitability is not guaranteed. Past performance of any signal type does not guarantee future results. Always conduct your own analysis, use proper risk management, and consult a licensed financial advisor before making any trading decisions. The author accepts no responsibility for any losses incurred from the use of this indicator. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Built for traders who trade what they see — not what they hope.
Pine Script® indicator
by AlphaX-Trade
Smart Money Structure Decoder [JOAT]Smart Money Structure Decoder Introduction The Smart Money Structure Decoder is an advanced open-source market structure indicator that identifies institutional footprints through Break of Structure (BOS), Change of Character (CHoCH), liquidity sweeps, price imbalances, and points of interest. This indicator transforms raw price action into actionable smart money intelligence, helping traders identify when institutions are accumulating positions, sweeping liquidity, and shifting market structure. Unlike basic support/resistance indicators that simply mark price levels, this system analyzes market microstructure through pivot detection, liquidity pool tracking, imbalance zone identification, and multi-timeframe bias alignment. The indicator is designed for traders who understand that institutional activity leaves detectable footprints in market structure and that following smart money positioning offers edge in directional trading. Why This Indicator Exists This indicator addresses a critical challenge in trading: identifying when institutional players are actively positioning and when they're manipulating price to trigger retail stops before moving in their intended direction. The core innovation lies in systematically detecting smart money concepts: Market Structure Analysis: Identifies Break of Structure (BOS) when price breaks previous highs/lows in trend direction and Change of Character (CHoCH) when price breaks counter-trend, signaling potential reversals Liquidity Sweep Detection: Tracks when price briefly exceeds key levels to trigger stops then reverses, indicating institutional liquidity hunting Price Imbalance Zones: Identifies fair value gaps where price moved too quickly, leaving inefficiencies that often get filled Points of Interest (POI): Marks high-volume reversal zones where institutions likely established positions Multi-Timeframe Bias: Confirms whether higher timeframe trend aligns with current timeframe structure Volume Confirmation: Validates structure breaks and sweeps with volume surge analysis Real-Time Metrics: Tracks cumulative counts of BOS, CHoCH, sweeps, imbalances, and POIs for pattern recognition Each component reveals different aspects of institutional activity. BOS confirms trend continuation, CHoCH warns of reversals, liquidity sweeps show manipulation, imbalances mark inefficiencies, POIs identify accumulation zones, MTF bias validates conviction, and volume confirms genuine moves versus fakeouts. Core Components Explained 1. Pivot Detection System The indicator uses pivot analysis to identify significant highs and lows: Pivot High = High that is higher than N bars before and N bars after (default N=10) Pivot Low = Low that is lower than N bars before and N bars after (default N=10) These pivots represent swing points where price temporarily reversed, marking potential support/resistance levels and liquidity pools. The pivot length parameter controls sensitivity - lower values detect more pivots (more sensitive), higher values detect only major pivots (less sensitive). The indicator tracks the most recent pivot high and pivot low, along with their bar indices, to establish the current market structure framework. 2. Market Structure Tracking The indicator maintains persistent structure variables: Trend Direction: +1 for uptrend, -1 for downtrend, 0 for undefined Last High: Most recent pivot high price and bar location Last Low: Most recent pivot low price and bar location Market structure evolves through two mechanisms: Break of Structure (BOS): - In uptrend: New pivot high exceeds previous pivot high (higher high) - In downtrend: New pivot low breaks below previous pivot low (lower low) - BOS confirms trend continuation and institutional commitment to direction Change of Character (CHoCH): - In uptrend: New pivot low breaks below previous pivot low (lower low in uptrend) - In downtrend: New pivot high exceeds previous pivot high (higher high in downtrend) - CHoCH signals potential trend reversal and shift in institutional positioning The indicator counts cumulative BOS and CHoCH events, allowing traders to assess whether market is trending cleanly (high BOS, low CHoCH) or choppy (high CHoCH, frequent reversals). 3. Liquidity Pool and Sweep Detection The indicator maintains arrays of liquidity levels (recent pivot highs and lows) and monitors for sweeps: Liquidity Pool: Array of last 10 pivot prices and their bar locations Sweep Detection Logic: - Price exceeds liquidity level (high > level for highs, low < level for lows) - Close returns below/above the level (close < level for high sweeps, close > level for low sweeps) - Volume exceeds average volume * threshold (default 1.8x) Liquidity sweeps are classic institutional manipulation where price briefly triggers stops at obvious levels then reverses. These often mark excellent entry points as institutions have cleared liquidity and can now move price in their intended direction. The indicator draws dashed lines from the liquidity level to the sweep bar and places labels marking "SWEEP" events. Swept levels are removed from the liquidity array as they've been cleared. 4. Price Imbalance Detection Imbalances (Fair Value Gaps) occur when price moves so quickly that it leaves gaps in the order book: Bullish Imbalance: - Current low > high from 2 bars ago (gap up) - Gap size > ATR * 0.3 (significant gap, not just noise) Bearish Imbalance: - Current high < low from 2 bars ago (gap down) - Gap size > ATR * 0.3 The indicator draws boxes around imbalance zones extending 10 bars into the future. These zones often act as magnets where price returns to fill the inefficiency. Institutions frequently use imbalances as entry zones, buying into bullish imbalances or selling into bearish imbalances. Imbalance count tracks cumulative gaps, helping identify instruments or timeframes with frequent inefficient price action versus those with smooth, efficient movement. 5. Points of Interest (POI) Detection POIs mark zones where institutions likely established significant positions: POI Criteria: - Volume > Average Volume * 1.8 (high participation) - Bar range > ATR * 0.5 (significant price movement) - Combination suggests institutional activity The indicator places small labels at POI locations. These zones often provide support/resistance in future price action as institutions defend their positions or add to them. POI count helps assess institutional activity levels - high POI counts suggest active institutional participation, low counts suggest retail-dominated or low-activity periods. 6. Multi-Timeframe Bias Analysis The indicator requests close price from a higher timeframe (default 60m) and determines HTF trend: HTF Trend = HTF Close > HTF Close ? Bullish : Bearish MTF Alignment = Current Timeframe Trend matches HTF Trend When MTF is aligned, trades in the trend direction have higher probability as both timeframes agree. When MTF is divergent, caution is warranted as timeframes conflict. The dashboard displays alignment status (ALIGNED/DIVERGENT) and strength (STRONG/WEAK) based on how clearly both timeframes show directional bias. 7. Volume Analysis and Confirmation Volume plays a critical role in validating structure: Average Volume = 20-period SMA of volume Volume Spike = Current volume > Average * threshold (default 1.8x) Volume spikes confirm: - BOS events (genuine institutional commitment) - CHoCH events (real reversal, not fakeout) - Liquidity sweeps (institutional participation) - POI zones (significant positioning) Low volume structure breaks often fail, while high volume breaks tend to follow through. The indicator uses volume confirmation throughout its detection logic. 8. Comprehensive Metrics Dashboard The indicator tracks and displays 13 key metrics: 1. Trend: Current market structure direction (BULLISH/BEARISH/NEUTRAL) 2. Structure: Most recent event (BOS/CHoCH/NONE) with count 3. BOS Count: Cumulative break of structure events with status (HIGH/ACTIVE/LOW) 4. CHoCH Count: Cumulative change of character events with status (CHOPPY/ACTIVE/CLEAN) 5. Liquidity: Active liquidity levels count with status (SWEPT/DENSE/NORMAL) 6. Sweeps: Cumulative sweep count with status (ACTIVE/SOME/NONE) 7. Imbalances: Cumulative imbalance count with status (HIGH/ACTIVE/LOW) 8. POI: Points of interest count with status (ACTIVE/MANY/FEW) 9. Volume: Current volume status (SPIKE/HIGH/NORMAL) with ratio 10. Position: Price position in session range (PREMIUM/DISCOUNT/EQUILIBRIUM) with bias 11. Momentum: RSI-based momentum (OVERBOUGHT/OVERSOLD/NEUTRAL) with value 12. MTF: Multi-timeframe alignment (ALIGNED/DIVERGENT) with strength These metrics provide complete smart money context at a glance, enabling rapid assessment of market structure, institutional activity, and trade setup quality. 9. Price Position Analysis The indicator calculates price position within the session range: Session High = Highest high since session start Session Low = Lowest low since session start Session Mid = (Session High + Session Low) / 2 Premium Zone = Price > Session Mid + Range * 0.25 (upper 25% of range) Discount Zone = Price < Session Mid - Range * 0.25 (lower 25% of range) Equilibrium = Price between premium and discount zones Smart money concepts suggest: - Buy in discount zones (institutions accumulating at favorable prices) - Sell in premium zones (institutions distributing at favorable prices) - Avoid equilibrium zones (no clear edge) The dashboard displays current position and suggested bias (BUY/SELL/WAIT). Visual Elements BOS Signals: Triangle shapes (up for bullish, down for bearish) marking break of structure events CHoCH Signals: Circle shapes marking change of character events Structure Lines: Lines connecting swing points showing market structure evolution Liquidity Sweep Lines: Dashed lines from liquidity level to sweep point with "SWEEP" labels Imbalance Boxes: Semi-transparent boxes highlighting fair value gaps POI Labels: Small labels marking points of interest Structure Break Lines: Horizontal lines marking BOS levels with "BRK" labels Structure Shift Lines: Dashed lines marking CHoCH levels with "SHIFT" labels Order Block Boxes: Boxes highlighting institutional order zones Trend Background: Subtle gradient showing current trend direction Comprehensive Dashboard: 13-row intelligence panel with all smart money metrics The visual system is designed for clarity - each element has distinct styling to prevent confusion while maintaining professional appearance. Input Parameters Core Settings: Pivot Length: Bars before/after for pivot detection (5-30, default 10) ATR Length: Period for ATR calculation (10-30, default 14) Volume Spike Threshold: Multiplier for volume confirmation (1.2-3.0, default 1.8) Features: Market Structure (BOS/CHoCH): Toggle structure detection (default enabled) Liquidity Sweeps: Toggle sweep detection (default enabled) Price Imbalances: Toggle imbalance zones (default enabled) Points of Interest: Toggle POI detection (default enabled) Multi-Timeframe Bias: Toggle MTF analysis (default enabled) Multi-Timeframe: Higher Timeframe: HTF for bias analysis (default 60m) Colors: All colors are fully customizable including bull primary (neon cyan), bear primary (neon pink), structure break (gold), liquidity sweep (sunset orange), and imbalance zone (neon purple). How to Use This Indicator Step 1: Identify Current Market Structure Check dashboard "TREND" field. BULLISH structure suggests looking for long setups, BEARISH structure suggests short setups. Note the structure status - clean trends show high BOS and low CHoCH counts. Step 2: Monitor Structure Events Watch for BOS signals (triangles) confirming trend continuation. These mark optimal trend-following entry points. Watch for CHoCH signals (circles) warning of potential reversals. These suggest reducing positions or preparing for counter-trend trades. Step 3: Identify Liquidity Sweeps Liquidity sweep signals (dashed lines with "SWEEP" labels) mark manipulation events. These often provide excellent entry opportunities as institutions have cleared stops and can now move price. Enter in the direction opposite to the sweep (sweep of highs = short setup, sweep of lows = long setup). Step 4: Use Imbalance Zones Imbalance boxes mark fair value gaps. Price often returns to fill these zones. Use imbalances as entry zones - buy into bullish imbalances (price returns to gap), sell into bearish imbalances. Unfilled imbalances suggest strong directional conviction. Step 5: Respect Points of Interest POI labels mark institutional positioning zones. These often provide support/resistance. Watch for price reactions at POI levels - bounces confirm institutional defense, breaks suggest institutional exit. Step 6: Assess Price Position Check dashboard "POSITION" showing PREMIUM/DISCOUNT/EQUILIBRIUM. Smart money concepts suggest buying in discount zones and selling in premium zones. The dashboard provides bias suggestion (BUY/SELL/WAIT). Step 7: Confirm with MTF Bias Review "MTF" alignment status. ALIGNED with STRONG rating confirms both timeframes agree on direction. DIVERGENT suggests caution as timeframes conflict. Only take trades when MTF is aligned for highest probability. Step 8: Validate with Volume Check "VOLUME" status. Structure breaks and sweeps with SPIKE or HIGH volume are more reliable than those with NORMAL volume. Low volume events often fail. Best Practices BOS in trend direction with volume confirmation offers highest-probability continuation trades CHoCH signals are most reliable when they occur at extreme price positions (premium/discount zones) Liquidity sweeps at session highs/lows often mark major reversal points Imbalances that remain unfilled for multiple bars suggest strong directional conviction POI zones near key structure levels (previous BOS/CHoCH) are most significant Trade in discount zones for longs, premium zones for shorts for optimal risk/reward MTF alignment is critical - avoid trades when timeframes diverge High CHoCH count (>3) suggests choppy conditions - reduce position size or avoid Clean trends show BOS count > CHoCH count by at least 2:1 ratio Volume spike confirmation separates genuine institutional moves from retail noise Multiple sweeps at same level suggest strong institutional interest Imbalances near structure breaks often get filled before trend continuation Indicator Limitations Pivot detection requires sufficient bars before/after - signals lag by pivot length Structure analysis works best on liquid instruments with clear swing points Liquidity sweep detection is probabilistic - not all sweeps lead to reversals Imbalance zones can remain unfilled for extended periods during strong trends POI detection uses volume which may be unreliable on some instruments MTF analysis requires data availability on selected higher timeframe The indicator identifies structure but cannot predict institutional intent High-frequency trading and algorithmic activity can create false structure signals News events can override technical structure instantly Structure breaks can be fakeouts - always use stop losses The indicator shows what institutions did, not what they will do Technical Implementation Built with Pine Script v6 using: Pivot detection using ta.pivothigh and ta.pivotlow with customizable length Persistent structure tracking using var variables for trend, highs, lows, and bar indices Array-based liquidity pool management with dynamic addition/removal Imbalance detection using gap analysis with ATR-based filtering Volume spike detection using rolling average comparison POI identification combining volume and range analysis Multi-timeframe security request with proper lookahead settings Price position calculation using session high/low tracking RSI-based momentum analysis for overbought/oversold context Comprehensive dashboard with 13 metrics and color-coded status indicators Dynamic line and box drawing for structure visualization Label system with size and style variations for different signal types The code is fully open-source with detailed comments explaining smart money concepts and detection logic. Originality Statement This indicator is original in its comprehensive smart money structure analysis. While individual concepts (BOS, CHoCH, liquidity sweeps, imbalances) are established in smart money trading, this indicator is justified because: It systematically integrates five distinct smart money concepts (structure, sweeps, imbalances, POI, MTF) into a unified detection system The liquidity pool tracking with dynamic sweep detection provides real-time manipulation identification Imbalance zone detection with ATR-based filtering ensures only significant gaps are marked POI detection combines volume and range analysis to identify institutional positioning zones Price position analysis (premium/discount/equilibrium) provides smart money context for entries The comprehensive dashboard synthesizes 13 metrics into unified smart money intelligence Integration of volume confirmation throughout ensures signals reflect genuine institutional activity MTF bias alignment validates that structure aligns across temporal dimensions Cumulative event counting (BOS, CHoCH, sweeps, imbalances, POI) enables pattern recognition The visual system clearly distinguishes between different structure types without clutter Each component reveals different institutional footprints: BOS shows commitment, CHoCH shows reversal, sweeps show manipulation, imbalances show inefficiency, POI shows positioning, price position shows value zones, MTF shows conviction, and volume confirms participation. The indicator's value lies in combining these complementary perspectives into a cohesive smart money structure analysis system. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss and is not suitable for all investors. Smart money structure analysis is a tool for understanding institutional footprints, not a crystal ball for predicting future price movement. Structure breaks do not guarantee trend continuation. Liquidity sweeps do not guarantee reversals. Past structure patterns do not guarantee future structure patterns. Market conditions change, and strategies that worked historically may not work in the future. The metrics displayed are mathematical calculations based on current market data, not predictions of future price movement. BOS, CHoCH, sweeps, imbalances, and POI signals do not guarantee profitable trades. Users must conduct their own analysis and risk assessment before making trading decisions. Always use proper risk management, including stop losses and position sizing appropriate for your account size and risk tolerance. Never risk more than you can afford to lose. Consider consulting with a qualified financial advisor before making investment decisions. The author is not responsible for any losses incurred from using this indicator. Users assume full responsibility for all trading decisions made using this tool. -Made with passion by officialjackofalltrades
Pine Script® indicator
by officialjackofalltrades
2
PMT Pattern (Pre-Manipulation Trap)🇬🇧 ENGLISH VERSION — PMT Pattern 🔷 PMT Pattern (Pre-Manipulation Trap) The PMT Pattern (Pre-Manipulation Trap) is a price action indicator designed to identify high-probability liquidity levels just before a manipulation (stop hunt) occurs. This is not a traditional entry signal indicator. Instead, it detects the phase immediately before the market seeks liquidity and expands. 🧠 Core Concept Markets typically move in structured phases: Impulse → Exhaustion → Compression → Manipulation → Expansion The PMT Pattern isolates the compression phase, where: volatility contracts liquidity builds up market participants are trapped and a manipulation becomes highly probable 🔍 Pattern Structure The pattern consists of 2 candles on a higher timeframe (HTF): Bullish PMT Candle 1: Bearish candle with a lower wick → selling pressure + absorption Candle 2: Inside candle Lower high than Candle 1 Higher low than Candle 1 Bearish PMT Candle 1: Bullish candle with an upper wick → buying pressure + absorption Candle 2: Inside candle Lower high than Candle 1 Higher low than Candle 1 🎯 Trading Logic (Correct) When a PMT Pattern appears: Identify Candle 1 (the reference candle) Mark a single key level: If Candle 1 is bearish → mark its LOW If Candle 1 is bullish → mark its HIGH 👉 This level represents the liquidity target the market is likely to reach 🔻 What Happens Next After the PMT forms: Price will often: return to that level or slightly break it (liquidity sweep) 👉 This movement is the manipulation phase ⏱️ Multi-Timeframe Execution (Critical) PMT is not traded on the same timeframe where it appears. Detect on HTF (e.g., 15 minutes) Execute on LTF (e.g., 1 minute) Recommended ratios: 15m → 1m 1H → 5m 5m → 15s–30s 🚀 Entry Execution Wait for price to reach the marked level Drop to lower timeframe Look for: liquidity sweep strong rejection micro structure shift 👉 Entry is taken on LTF confirmation, not on the PMT signal itself 🔔 Alerts & Notifications (IMPORTANT) The indicator includes alert conditions, but alerts must be configured manually in TradingView. To receive notifications correctly: Add the indicator to your chart Open the Alerts panel Select the condition: PMT Bullish Detected or PMT Bearish Detected Set frequency to: ✅ Once Per Bar Close Enable your preferred notifications: mobile push popup email 👉 Alerts are triggered exactly at the close of the second candle, which is the moment the PMT is confirmed. ⚠️ Important Notes PMT is not an entry trigger It defines a liquidity level of interest The edge comes from anticipating manipulation, not reacting to it 🧩 What the Indicator Uses Candlestick structure (body + wick analysis) Inside candle logic (range compression) Directional context Candle close confirmation 🚀 Key Advantage PMT allows traders to: anticipate stop hunts identify where liquidity is concentrated position before expansion avoid late entries 🧠 Summary PMT is not about predicting direction. It identifies: where the market is most likely to seek liquidity before making a move 🇪🇸 VERSIÓN EN ESPAÑOL — PMT Pattern 🔷 PMT Pattern (Pre-Manipulation Trap) El PMT Pattern (Pre-Manipulation Trap) es un indicador de acción del precio diseñado para identificar niveles de liquidez con alta probabilidad justo antes de una manipulación del precio (caza de stops). No es un indicador de entrada directa, sino una herramienta para detectar la fase previa al movimiento real del mercado. 🧠 Concepto principal El mercado suele moverse en fases: Impulso → Agotamiento → Compresión → Manipulación → Expansión El PMT identifica la fase de compresión, donde: el precio se contrae se acumula liquidez muchos traders quedan mal posicionados y es probable un barrido de stops 🔍 Estructura del patrón El patrón se forma con 2 velas en temporalidad alta (HTF): PMT Alcista Vela 1: Bajista con mecha inferior → presión de venta + absorción Vela 2: Vela interna Máximo menor que la vela 1 Mínimo mayor que la vela 1 PMT Bajista Vela 1: Alcista con mecha superior → presión de compra + absorción Vela 2: Vela interna Máximo menor que la vela 1 Mínimo mayor que la vela 1 🎯 Lógica operativa (CORRECTA) Cuando aparece un PMT: Identificar la vela 1 (vela de referencia) Marcar un único nivel: Si la vela 1 es bajista → marcar el MÍNIMO Si la vela 1 es alcista → marcar el MÁXIMO 👉 Ese nivel es donde está la liquidez que el precio probablemente irá a buscar 🔻 Qué ocurre después Tras formarse el PMT: El precio suele: volver a ese nivel o romperlo ligeramente (barrido de liquidez) 👉 Ese movimiento es la manipulación ⏱️ Ejecución en temporalidad inferior (CLAVE) El PMT no se opera en la misma temporalidad. Detectar en HTF (ej: 15 minutos) Ejecutar en LTF (ej: 1 minuto) Proporciones recomendadas: 15m → 1m 1H → 5m 5m → 15s–30s 🚀 Entrada Esperar que el precio llegue al nivel marcado Bajar a temporalidad inferior Buscar: barrido de liquidez rechazo claro cambio de estructura 👉 La entrada se realiza en LTF, no en la señal del PMT 🔔 Alertas y notificaciones (IMPORTANTE) El indicador incluye condiciones de alerta, pero deben configurarse manualmente en TradingView. Para recibir notificaciones correctamente: Añadir el indicador al gráfico Abrir el panel de Alertas Seleccionar la condición: PMT Bullish Detected o PMT Bearish Detected Configurar la frecuencia: ✅ Una vez por cierre de vela Activar notificaciones: móvil popup email 👉 La alerta se activa justo al cierre de la segunda vela, que es cuando el patrón queda confirmado. ⚠️ Importante El PMT no es una señal de entrada directa Define un nivel de liquidez La ventaja está en anticiparse a la manipulación 🧩 Qué utiliza el indicador Estructura de velas (cuerpo y mechas) Compresión de rango (vela interna) Contexto direccional Confirmación al cierre 🚀 Ventaja principal Permite: anticiparse a la caza de stops identificar niveles clave posicionarse antes del movimiento evitar entradas tardías 🧠 Resumen El PMT no trata de predecir el mercado. Trata de identificar: dónde el precio probablemente va a buscar liquidez antes de moverse con fuerza
Pine Script® indicator
by BullBearSR
[ A L P H A X ] Order Blocks Institutional Supply & Demand ZoneAlphaX Order Blocks – Institutional Supply & Demand Zone Intelligence, Strength Scoring & Flip Detection AlphaX Order Blocks is a professional-grade supply and demand zone detection system built on a proprietary multi-factor zone strength scoring engine. It identifies institutional order block zones where smart money has left footprints, tracks zone freshness through multi-touch degradation, detects flip zones when broken levels reverse polarity, and delivers confidence-scored entry signals at the highest-probability reaction points. Designed for traders who want to see where the institutions are positioned on instruments like XAUUSD, indices, forex majors, and crypto. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔬 The Order Block Engine — How It Works At the core of AlphaX Order Blocks is an institutional zone detection algorithm that identifies price levels where aggressive buying or selling originated. Unlike simple support and resistance lines, these zones represent areas where large orders were placed — and where unfilled orders may still be waiting. The detection process follows three steps: Step 1 — Impulse Move Detection The engine scans for consecutive same-direction candles (configurable from 2 to 5) that confirm a strong directional impulse At least one candle in the sequence must have above-average volume (measured against a configurable Volume SMA) This combination of directional conviction plus volume commitment identifies moves driven by institutional participation, not retail noise Step 2 — Origin Candle Identification Once an impulse is detected, the engine looks back up to 6 bars (configurable) for the origin candle — the opposite-color candle where the move started For supply zones, this is the last bullish candle before the bearish impulse — the level where sellers overwhelmed buyers For demand zones, this is the last bearish candle before the bullish impulse — the level where buyers overwhelmed sellers The origin candle's high and low define the zone boundaries, expanded by an ATR-based padding for robustness Step 3 — Volume Delta Calculation During the origin-to-impulse sequence, the engine calculates the net volume delta — total buying volume minus total selling volume This delta is displayed on each zone and used in the strength scoring system A large negative delta on a supply zone confirms strong selling pressure at that level A large positive delta on a demand zone confirms strong buying pressure at that level Fresh zones appear with bold borders and bright colors. As they get tested, they visually degrade — giving you an instant read on zone quality without checking any numbers. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 Six Core Features AlphaX Order Blocks combines six independent analysis layers into a single cohesive system: 1 ─ Supply Zones (Red Boxes) Supply zones mark price levels where institutional selling originated. Each zone box displays: Tier Rating — S, A, B, or C based on the 6-factor strength score Touch Count — How many times price has tested this zone (×0, ×1, ×2, etc.) Volume Delta — Net selling pressure at the zone origin Strength Percentage — The composite score from 0 to 100 Visual styling degrades automatically as zones weaken: Fresh (0 touches) — Bold solid border, bright color, full opacity Tested (1 touch) — Solid border, slightly reduced opacity Multi-tested (2+ touches) — Dashed border, reduced opacity Weak (max touches reached) — Dotted border, heavily faded — zone is nearly exhausted ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2 ─ Demand Zones (Green Boxes) Demand zones following the same tier/touch/delta/strength display format Demand zones mark price levels where institutional buying originated. They follow the identical visual degradation system as supply zones but in the green color family. Green Bold Box — Fresh, untested demand zone with highest reaction probability Green Dashed Box — Tested zone, still valid but weakening Green Dotted Box — Heavily tested zone, likely to break on next visit ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3 ─ Flip Zone Detection (Purple Boxes) One of the most powerful concepts in institutional trading is polarity reversal — when a broken support level becomes resistance, or a broken resistance level becomes support. AlphaX Order Blocks automates this: When price closes above a supply zone, the zone is deleted and a new demand zone is created at the same level with a purple color When price closes below a demand zone, the zone is deleted and a new supply zone is created at the same level with a purple color Flip zones receive a +10 point bonus in the strength scoring system because institutional traders frequently use broken levels as new entry points This feature can be toggled on/off independently ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 4 ─ Confidence-Scored Entry Signals (▲ / ▼) Entry signal labels with S/A/B tier classification and strength percentage When price enters a high-quality zone and produces a confirmation candle, the signal engine fires a scored entry: ▲ Green Label (Demand Signal) — Dark text on green background. Price entered a demand zone and closed with a bullish candle. ▼ Red Label (Supply Signal) — White text on red background. Price entered a supply zone and closed with a bearish candle. Signals only fire when the zone's strength score meets your configured minimum threshold (default 40%). This prevents signals at weak, over-tested zones. Each signal is classified into tiers: S-Tier (75%+) — Highest probability. Fresh zone, high volume, strong departure, EMA confluence. A-Tier (55–74%) — High probability. Most factors aligned. B-Tier (40–54%) — Moderate probability. Basic conditions met. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 5 ─ Risk/Reward Projection Dotted projection lines from entry to nearest opposite zone with R:R ratio displayed When an entry signal fires, the system automatically projects a take-profit target to the nearest opposite zone : Demand signal → Target projects to the nearest supply zone above Supply signal → Target projects to the nearest demand zone below The R:R ratio is calculated and displayed (e.g., "TP 2.3R") This gives you an instant read on whether the trade offers sufficient reward relative to risk ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6 ─ Proximity Warnings Orange warning label appearing when price approaches a zone — time to prepare The proximity engine continuously monitors the distance between current price and all active zones. When price comes within the configurable ATR distance of a zone: An orange ⚠ warning label appears showing the zone type and distance percentage This gives you advance notice to prepare for a potential reaction — set alerts, tighten stops, or prepare entries Works for both supply zones above and demand zones below ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🧠 6-Factor Zone Strength Scoring Every zone is continuously scored from 0 to 100 based on six independent factors. This score determines the tier rating, visual styling, and signal eligibility. Freshness — Untested Zones Score Highest (up to 25 points) 0 touches = 25 points — Fresh zone, never tested, highest probability 1 touch = 18 points — Tested once, still strong 2 touches = 10 points — Multi-tested, weakening 3 touches = 4 points — Nearly exhausted 4+ touches = 0 points — Weak zone, likely to break Volume at Origin (up to 20 points) Compares the volume at the origin candle to the volume SMA Volume ratio > 3.0× = 20 points (institutional-grade volume) Volume ratio > 2.0× = 16 points Volume ratio > 1.5× = 12 points Volume ratio > 1.0× = 7 points (above average) Departure Velocity (up to 20 points) Measures how aggressively price left the zone (in ATR units) Fast departures indicate strong institutional commitment — they want to get filled and move price away quickly Velocity > 3 ATR = 20 points Velocity > 2 ATR = 15 points Velocity > 1 ATR = 10 points Zone Age (up to 15 points) Younger zones score higher — they are more relevant to current market conditions Under 20 bars old = 15 points Under 50 bars old = 12 points Under 100 bars old = 8 points Under 200 bars old = 4 points Over 200 bars old = 1 point EMA Confluence (up to 10 points) Demand zones score higher when price is below the 200 EMA (buying into weakness) Supply zones score higher when price is above the 200 EMA (selling into strength) This adds structural trend context to zone quality Flip Zone Bonus (up to 10 points) Zones created from polarity reversal receive a flat 10-point bonus Broken support becoming resistance (or vice versa) is one of the most reliable patterns in institutional trading ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📐 Dashboard Intelligence A comprehensive AlphaX-branded dashboard provides real-time zone analytics organized into four sections: Zone Inventory Active supply and demand zone counts Breakdown by status: F (Fresh), T (Tested), W (Weak) Total flip zone count Market Bias Strength-weighted zone bias — shows whether demand or supply zones dominate the current price area EMA trend direction (Strong Bull / Bull / Bear / Strong Bear / Cross) RSI with zone classification (OB / OS / HIGH / LOW / MID) Nearest Zones Nearest supply zone above current price — with price level, strength score, and distance percentage Nearest demand zone below current price — with price level, strength score, and distance percentage Position indicator — shows whether price is closer to supply or demand Signal Status Last signal type and how many bars ago it fired Current volume status relative to the SMA (Spike / High / Normal / Dry) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🚀 How to Trade with AlphaX Order Blocks — Step by Step Step 1 — Identify the Zone Landscape Look at the chart for active supply (red) and demand (green) zones Check the Dashboard: Which zones are fresh (F)? Which are tested (T)? Note any purple flip zones — these are high-probability levels Step 2 — Wait for Price to Approach a Zone When the ⚠ proximity warning appears, prepare for a potential reaction Check the zone's tier rating — S and A tier zones have the highest reaction probability Ignore C-tier zones unless other confluence is present Complete trade flow: Zone detection → Proximity warning → Price enters zone → Entry signal → Risk/Reward projection Step 3 — Enter on Confirmed Signal Wait for a scored entry label (▲ or ▼) to appear Confirm the tier — S-Tier and A-Tier signals have the highest probability Place your stop loss beyond the opposite side of the zone Step 4 — Set Target Using R:R Projection The system automatically projects a dotted line to the nearest opposite zone The R:R ratio is displayed — only take trades offering at least 1.5R or better Use the projected target as your primary take-profit level Step 5 — Monitor Zone Degradation If you are in a trade and the target zone changes from solid to dashed border, it may break — consider tightening your take-profit If your entry zone starts getting tested from the wrong side, the thesis may be failing — consider a stop adjustment Step 6 — Understand Zone Breaks When a zone breaks (candle closes through it), the zone is automatically deleted If flip detection is enabled, a new opposite zone appears at the same level Zone breaks often indicate a change in institutional bias — respect them ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠ When NOT to Trade — Zone Quality Filters Not all zones are created equal. AlphaX Order Blocks gives you clear visual and numerical cues to avoid low-quality setups: Avoid these conditions: C-Tier zones only — If no S, A, or B tier zones are near price, the area lacks institutional interest All zones heavily tested — If every zone shows ×3 or ×4 touches with dashed/dotted borders, the levels are exhausted Dashboard shows "BALANCED" bias — When supply and demand strength are equal, there is no clear institutional edge Volume shows "DRY" — Low volume environments produce unreliable zone reactions Multiple flip zones clustered — Heavy flip activity indicates a choppy, indecisive market where zones break frequently What to do: Wait for new fresh zones to form with strong volume Look for zones where the departure velocity was high (the market left aggressively) Switch to a higher timeframe to find larger, more significant zones Only trade zones that align with the EMA trend direction ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚡ Key Features 🔬 Institutional zone detection using consecutive impulse candles + volume confirmation 🏗 6-factor zone strength scoring (freshness, volume, velocity, age, EMA, flip) 🏷 S/A/B/C tier zone classification with readable labels and strength percentages 👆 Multi-touch tracking with automatic visual degradation (solid → dashed → dotted → faded) 🔄 Automatic flip zone detection — broken supply becomes demand and vice versa (purple zones) ▲▼ Confidence-scored entry signals at high-quality zone reactions 📐 Risk/Reward auto-projection to nearest opposite zone with R:R ratio ⚠ Proximity warnings when price approaches active zones 📊 EMA confluence scoring — zones aligned with trend structure score higher 📈 Comprehensive AlphaX-branded dashboard — zone inventory, market bias, nearest zones, signal status 🎨 Cohesive triple-tone color theme — Green for demand, Red for supply, Purple for flip zones 🔔 15+ alert conditions — zone detection, touches, signals by tier, and combined ⚙ Fully configurable — detection sensitivity, zone behavior, scoring weights, and all visuals ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙ Settings Reference Zone Detection Consecutive Candles Required — Number of same-direction candles for impulse detection (default: 3) Origin Candle Lookback — How far back to search for the origin candle (default: 6) Volume Threshold Multiplier — Volume must exceed SMA × this value (default: 1.0) Volume SMA Length — Baseline period for volume comparison (default: 50) Zone Height (ATR Multiple) — Controls the vertical thickness of zone boxes (default: 1.5) Max Active Zones Per Side — Cap on simultaneous supply and demand zones (default: 8) Zone Cooldown — Minimum bars between new zones of the same type (default: 10) Zone Behavior Max Touches Before Weak — After this many tests, zone is visually degraded (default: 4) Require Close to Break Zone — Prevents wick-through fake breaks (default: enabled) Detect Flip Zones — Enable/disable polarity reversal detection (default: enabled) Confluence Fast EMA Period — Short-term trend reference (default: 21) Slow EMA Period — Long-term structural reference (default: 200) Show EMAs — Toggle EMA plot visibility Use EMA Confluence in Scoring — Add/remove EMA from strength calculation Signals Show Entry Signals — Toggle entry labels Min Zone Strength for Signal — Minimum score required (default: 40%) Signal Cooldown — Minimum bars between signals (default: 5) Show Proximity Warnings — Toggle approach alerts Proximity Distance — How close price must be to trigger warning (default: 1.5 ATR) Risk/Reward Show Risk/Reward Projection — Toggle the dotted target line and R:R label Dashboard Show Dashboard — Toggle the information panel Position — Top Left, Top Right, Bottom Left, Bottom Right Dashboard Text Size — Tiny, Small, Normal Colors Bull / Demand Primary / Bright / Dim — Green family for demand zones Bear / Supply Primary / Bright / Dim — Red family for supply zones Flip Zone — Purple for polarity-reversed zones Proximity Warning — Orange for approach alerts Neutral / Neutral Light — Gray for structural elements ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔔 Alert Conditions New Supply Zone Detected — Fires when a fresh supply zone is created New Demand Zone Detected — Fires when a fresh demand zone is created Supply Zone Touched — Fires when price enters a supply zone Demand Zone Touched — Fires when price enters a demand zone S/A/B-Tier Demand Signal — Confidence-based demand entry alerts S/A/B-Tier Supply Signal — Confidence-based supply entry alerts Any Demand / Supply / Zone Signal — Combined alert conditions All alert messages include {{ticker}} and {{interval}} placeholders for clean webhook integration. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 Default Settings — Optimized For The default configuration is tuned for XAUUSD (Gold), major forex pairs, and indices on the 5-minute to 1-hour timeframes : 3 consecutive candles strikes the balance between sensitivity and reliability Volume multiplier at 1.0× captures most institutional moves without over-filtering Zone cooldown at 10 bars prevents cluster creation in volatile periods Max 4 touches before weak aligns with institutional order absorption theory EMA confluence enabled for trend-aligned zone scoring For other instruments or timeframes, adjust: Higher timeframes (4H, Daily) — Increase Origin Lookback to 8–10, increase Zone Height to 2.0+ ATR Scalping (1m, 5m) — Reduce Consecutive Candles to 2, reduce Cooldown to 5–7 bars Crypto — Increase Zone Height to 2.0–3.0 ATR (higher volatility), increase Volume Multiplier to 1.5× Forex majors — Use defaults, optionally reduce Volume Multiplier to 0.8× for pairs with lower tick volume Cleaner zones — Increase Consecutive Candles to 4–5, increase Volume Multiplier to 1.5× More zones — Decrease Consecutive Candles to 2, decrease Volume Multiplier to 0.7×, increase Max Zones ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 👥 Who This Is For 🏛 Institutional/Smart Money Traders — Designed to identify where large orders originated and where unfilled orders may remain 📐 Supply & Demand Traders — Automated zone detection with strength scoring replaces manual drawing 🥇 Gold & Forex Traders — Tuned for assets with clear institutional participation patterns 🧠 Systematic Traders — The 6-factor scoring system provides a quantitative framework for zone quality assessment 📊 Breakout Traders — Flip zone detection automatically identifies broken levels as new opportunity zones 📈 Traders who value clean charts — No clutter. Zones auto-degrade and auto-remove. Only relevant levels remain. ⚠ Traders who struggle with zone selection — The tier system physically tells you which zones are worth trading and which to ignore ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📝 Notes All zone detections are confirmed on bar close — zones do not repaint or move after creation Zone break confirmation uses candle close by default (not wicks) to prevent fake-outs — this can be toggled off for aggressive trading Flip zones inherit a reduced departure velocity (70% of original) to account for diminished institutional interest at reversed levels Volume delta uses candle direction (close vs open) as a proxy for buy/sell pressure — this is an approximation, not true order flow Dashboard updates on the last bar only for performance optimization Maximum 500 boxes, 500 labels, and 500 lines are used — on very low timeframes with extended history, oldest drawings may be automatically removed by TradingView's rendering limits Overlapping zone prevention runs at creation time — if a new zone would overlap an existing one of the same type, it is not created ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠ Disclaimer This indicator is a technical analysis and visualization tool intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. All signals and zone detections are generated from historical and real-time price data using mathematical calculations — their accuracy or profitability is not guaranteed. Supply and demand zones represent areas of historical interest, not guaranteed future reaction points. Past zone behavior does not guarantee future price reactions. Always conduct your own analysis, use proper risk management, and consult a licensed financial advisor before making any trading decisions. The author accepts no responsibility for any losses incurred from the use of this indicator. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Built for traders who demand clarity, confidence, and precision from their charts.
Pine Script® indicator
by AlphaX-Trade
Big Order Bubbles [Trading IQ]Hello Traders! 🔹Big Order Bubbles IQ Big Order Bubbles IQ is a visualization tool designed to help traders identify and interpret large participation events in the market. Instead of raw volume bars or hidden order flow, this indicator highlights where meaningful size enters the market , allowing you to quickly spot areas of aggressive buying or selling. It focuses on answering a simple but powerful question: Where are the largest players actually active? high participation events aggressive buying vs selling pressure large order clustering within a bar turning points driven by size extreme volume spikes relative to recent activity 🔹What the indicator shows 🔸Big order bubbles Large orders are displayed directly on the chart as bubbles, sized relative to their magnitude. This allows you to instantly see: where large trades occurred how significant they were compared to others whether they were buying or selling aggression 🔸Buy vs Sell pressure (histogram) The lower panel separates large buying and selling activity into a histogram view. This gives you a quick read on: net aggressive buying (large orders only) net aggressive selling (large orders only) 🔸Turning point detection In “Turning Points” mode, the script attempts to identify large orders that occur at structurally meaningful moments. This helps highlight: potential exhaustion points areas where liquidity is being absorbed reversal zones driven by size 🔸Extreme volume detection In “Extreme Vol” mode, the indicator focuses purely on outliers in volume. This is useful for: spotting abnormal participation detecting sudden institutional activity highlighting momentum ignition events 🔸Live tick big order tracking When enabled, the indicator can track large orders in real time using tick-based data. This mode is designed for: scalping environments real-time order flow awareness capturing large prints as they happen 🔸Big order table A live table shows the most recent large orders, including: side (buy/sell) size price time since execution This gives you a quick reference for recent activity without scanning the chart. 🔹How to read it Bubble size shows how large the order was relative to others Bubble color shows whether it was buying or selling pressure Histogram shows the total imbalance within the bar Location shows where large participants chose to act This combination helps you move beyond “volume exists” and toward: “volume mattered here.” For example: large buy bubbles at lows can suggest absorption or accumulation large sell bubbles at highs can suggest distribution or rejection clusters of large orders can indicate key liquidity zones lack of large participation during a move can signal weakness large bubbles during an already strong move can indicate a stop loss cascade or liquidation event 🔹Why this indicator is useful It gives you: clear visualization of large orders relative sizing instead of raw numbers buy vs sell separation context through turning points or statistical extremes optional real-time tracking for intraday traders 🔹Best use cases confirming whether moves are supported by size spotting potential reversals driven by large players detecting liquidity grabs and absorption adding order flow context to price action or liquidity models 🔹Important note This indicator is a chart-reading tool , not a prediction engine. Large orders can: initiate moves absorb moves or simply pass through the market without follow-through Context matters. Always consider: location trend liquidity and surrounding structure 🔹Important consideration Order flow on TradingView is derived from available data , not a full centralized order book. This means: some activity may be approximated different symbols may behave differently tick-based modes depend on data availability The goal is not perfect reconstruction, but practical insight . 🔹Inputs you can customize The script includes flexible controls such as: volume aggressiveness threshold maximum bubble size scaling dollar-based filtering for large orders lower timeframe selection turning point vs extreme volume model live tick storage and behavior visual styling and color controls Closing Notes And that’s about it! This script is built to make large participation visible, intuitive, and actionable . It may receive updates based on feedback - stay tuned! Thank you TradingView as always!
Pine Script® indicator
by Trading-IQ
147
TX Volume Spike Overview: TX Volume Spike Pro is a sophisticated technical analysis tool designed to identify high-probability breakout and breakdown opportunities in STOCK trading. The core philosophy is "Volume confirms price." By combining price action breakout levels with directional volume spikes and advanced momentum filters, this script helps traders filter out market noise and identify institutional accumulation or distribution. Key Features: Directional Volume Spike Logic: Unlike standard volume indicators, TX Pro distinguishes between Bullish Spikes (accumulation) and Bearish Spikes (distribution). A signal is only valid if the recent volume surge aligns with the candle's direction. Hybrid Confirmation System: The "Hybrid" mode integrates several technical indicators—On-Balance Volume (OBV), Money Flow Index (MFI), and Volume Oscillator—to ensure that momentum and money flow are fully supporting the price move. Breakout/Breakdown Engine: Automatically identifies dynamic resistance (High) and support (Low) levels based on user-defined lookback periods. Institutional Trend Filter: Includes a 200-period SMA filter to ensure traders stay on the right side of the long-term trend, significantly reducing risk in trending markets. Professional UI: Features clean visual plots of key levels, directional bar highlighting for volume anomalies, and optimized signal labels. How to Use: Bullish Signal (BUY): Triggered when the price crosses over the Resistance level, confirmed by a Bullish Volume Spike within the lookback window, and supported by Hybrid filters (OBV/MFI/VO) if enabled. Bearish Signal (SELL): Triggered when the price crosses under the Support level, confirmed by a Bearish Volume Spike, and supported by momentum filters. Recommended Setting: Use the "Hybrid (All Filters)" mode for stock trading to ensure maximum confirmation. Disclaimer: This script is a technical analysis tool and should not be considered financial advice. Always use proper risk management and stop-loss orders in your trading strategy.
Pine Script® indicator
by Tonzlnxz
Institutional Structure & Volatility (ISV-200)Key Features: Triple Top / Triple Bottom Confirmation: With the Fractal 12 setting, this indicator filters out 90% of market noise. When you see three identical fractal triangles appearing in the same price zone near the BB 200 bands, it serves as a high-conviction confirmation for a Triple Top or Triple Bottom pattern. Institutional BB 200: The 200-period Bollinger Bands act as a "psychological wall" for institutional players. Price reactions at the BB 200 bands combined with Fractal confirmations provide high-probability reversal signals. ATR Clean UI: To maintain a clutter-free chart, volatility values are displayed exclusively in the Status Line. This allows for rapid Risk/Reward calculations (e.g., MIL:SL = 2 \times ATR$) without visual distraction. How to Trade Triple Tops & Bottoms: Monitor the Zones: Watch for price action as it approaches the Upper BB (for shorts) or Lower BB (for longs). Wait for Confirmation: Look for three consecutive Fractals of the same color to form within that price zone. Execute the Trade: Enter your position at the formation of the third peak or third trough (the 3rd Fractal). Risk Management: Use the ATR value shown in the top-left corner to set your stop loss. A common rule is: SL = Entry +- (2ATR) Technical Specifications: BB Length: 200 (Institutional Trend) Fractal Period: 12 (High-frequency noise reduction) Visuals: Automatic trendlines connecting recent structure highs/lows for easier pattern recognition.
Pine Script® indicator
by Tieu_Vuong
4
Volume Dispersion Field [JOAT]Volume Dispersion Field Introduction The Volume Dispersion Field is an open-source non-overlay indicator that provides a comprehensive volume analysis suite combining relative volume classification, buy/sell delta tracking, volume dispersion measurement, climax detection, volume profile calculation, smart money activity analysis, and anomaly detection. Rather than showing a simple volume histogram, this indicator dissects volume into multiple analytical layers that reveal who is participating, how aggressively, and whether the activity is normal or anomalous. Built with Pine Script v6, the indicator uses custom types for volume state, delta state, dispersion bins, profile data, smart money state, and volume pulse tracking. Why This Indicator Exists Standard volume indicators show a single bar per candle. This tells you how much volume occurred but not who was buying or selling, whether the volume is unusual, or how volume is distributed across the price range. This indicator addresses those gaps by providing: Seven-tier volume classification: Categorizes each bar from Extreme Low to Extreme High relative to the moving average, giving immediate context about whether current activity is normal or exceptional Delta analysis: Estimates buying and selling volume using candle structure, then calculates smoothed delta and cumulative delta to show the net direction of volume pressure Volume dispersion: Measures how volume is distributed between the upper and lower halves of the recent price range, revealing whether volume is concentrated at highs (distribution) or lows (accumulation) Climax detection: Identifies volume spikes that exceed a configurable threshold, often marking exhaustion points or the start of major moves Smart money analysis: Tracks institutional-sized volume activity and classifies the market phase as Accumulation, Markup, Distribution, or Markdown Anomaly detection: Uses Z-score analysis to flag statistically unusual volume events that may indicate institutional intervention Core Components Explained 1. Volume Classification System Every bar is classified into one of seven categories based on its ratio to the volume moving average: volMA = ta.sma(volume, volMaLength) volRatio = volume / volMA Extreme High (>= 3.0x): Institutional-level activity, potential climax High (>= 2.0x): Significant above-average interest Above Average (>= 1.0x): Healthy participation Average (>= 0.5x): Normal market conditions Below Average (>= 0.25x): Reduced interest Low (< 0.25x): Thin liquidity, potential for slippage Extreme Low: Minimal activity Each category is color-coded with a distinct color from the Quantum Volume palette, making it instantly visible which bars carry institutional weight and which are retail noise. The high and low volume multiplier thresholds are fully configurable. 2. Delta Analysis The delta engine estimates buying and selling volume by analyzing candle structure. For a bullish candle (close > open), buying volume is estimated as the proportion of the candle range from low to close, multiplied by total volume: if close > open buyVol := volume * (close - low) / (high - low + 0.0001) sellVol := volume - buyVol else if close < open sellVol := volume * (high - close) / (high - low + 0.0001) buyVol := volume - sellVol The raw delta (buyVol - sellVol) is smoothed with an EMA and also accumulated over a configurable period to produce cumulative delta. Rising cumulative delta with rising price confirms bullish conviction. Falling cumulative delta with rising price warns of hidden distribution. The indicator also detects delta divergences — when price moves in one direction but delta moves in the opposite direction over a 10-bar window. These divergences are marked with cross symbols on the chart. The Volume Dispersion Field panel showing color-coded volume bars, delta histogram, cumulative delta line, and smart money accumulation/distribution arrows with the dashboard displaying all metrics 3. Volume Dispersion Measurement Dispersion quantifies how volume is distributed between the upper and lower halves of the recent price range. Over the dispersion lookback period (default 50 bars), the indicator sums volume for bars that closed in the upper half versus the lower half: Positive dispersion (> 20): Volume is concentrated in the upper range — bullish bias, potential distribution if extended Negative dispersion (< -20): Volume is concentrated in the lower range — bearish bias, potential accumulation if extended Near zero: Volume is balanced across the range — no clear directional bias Dispersion is plotted as a filled area chart, providing a visual representation of where the volume weight sits within the price range. 4. Volume Profile and POC The indicator calculates a simplified volume profile by dividing the recent price range into configurable bins (default 10) and summing volume in each bin. From this profile, it derives: Point of Control (POC): The price level with the highest volume — acts as a magnet for price Value Area High (VAH): Upper boundary of the 70% volume concentration zone Value Area Low (VAL): Lower boundary of the 70% volume concentration zone The profile type is classified as Normal (balanced), Imbalanced (narrow value area, directional), or Ranged (wide value area, consolidation). 5. Smart Money and Anomaly Detection The smart money engine analyzes volume distribution across the price range over a 50-bar window. If significantly more volume occurs in the lower 30% of the range while price is below its 50-period SMA, the indicator classifies the phase as Accumulation. If more volume occurs in the upper 30% while price is above the SMA, it classifies as Distribution. Anomaly detection uses Z-score analysis: volState.zScore := (volume - volMA) / (volStdDev + 0.0001) volState.isAnomaly := math.abs(volState.zScore) > anomalyThreshold Volume events with Z-scores exceeding the threshold (default 3.0 standard deviations) are flagged as anomalies and marked with diamond symbols. These statistically rare events often indicate institutional intervention or major news-driven activity. 6. Market Phase Classification The indicator classifies the current market phase based on the combination of price direction and volume trend: Markup: Price rising + volume rising — healthy uptrend Distribution: Price rising + volume falling — potential top forming Accumulation: Price falling + volume rising — smart money buying the dip Markdown: Price falling + volume falling — healthy downtrend Visual Elements Volume Histogram: Color-coded bars by classification tier Volume MA Line: 20-period moving average of volume High/Low Volume Bands: Reference bands at the high and low multiplier levels with fill Delta Histogram: Smoothed buy/sell delta with gradient coloring Cumulative Delta Line: Running sum of delta over configurable period Dispersion Area: Filled area showing volume distribution bias Climax Markers: Triangle markers for buy and sell climax events Anomaly Markers: Diamond markers for statistically unusual volume Smart Money Arrows: Accumulation (up arrow) and Distribution (down arrow) signals Volume Pulse: Circle markers when volume exceeds the pulse threshold Heatmap Background: Subtle background coloring based on volume intensity Dashboard: 14-row metrics table showing volume category, anomaly status, phase, delta direction, dispersion, and more Close-up of the dashboard showing volume classification as "HIGH", phase as "Markup", delta as "BULLISH" with "BUY SIDE" flow, and an anomaly detection reading Input Parameters Volume Analysis: Volume MA Length (default 20) High Volume Multiplier (default 2.0) and Low Volume Multiplier (default 0.5) Delta Analysis: Delta Smoothing (default 3) Cumulative Delta Length (default 20) Dispersion Settings: Dispersion Lookback (default 50) and Dispersion Bins (default 10) Climax Detection: Climax Threshold (default 2.5) and Climax Lookback (default 50) Advanced Volume: Smart Money Concepts, Institutional Activity, Volume Anomalies toggles Anomaly Threshold (default 3.0 std dev) Volume Pulse toggle and Pulse Threshold (default 1.5) Visual Settings: Volume Profile, Dashboard, Glow Effects, Heatmap toggles Profile Width and Color Scheme (Quantum, Classic, Professional, Neon) How to Use This Indicator Step 1: Monitor the volume classification. Extreme High and High bars deserve attention — they indicate institutional participation. Consecutive high-volume bars in one direction confirm conviction. Step 2: Check the delta direction. Bullish delta with rising price confirms the move. Bearish delta with rising price (divergence) warns of potential reversal. Step 3: Watch for climax events. A buy climax (extreme volume + bullish candle) at a resistance level may signal exhaustion. A sell climax at support may signal capitulation. Step 4: Monitor the market phase. Accumulation phases often precede significant upward moves. Distribution phases often precede declines. Step 5: Pay attention to anomaly markers. These statistically rare volume events often mark turning points or the start of major institutional campaigns. Step 6: Use dispersion to understand volume positioning. Positive dispersion (volume at highs) during an uptrend is healthy. Positive dispersion during a downtrend suggests distribution. Indicator Limitations Delta estimation uses candle structure as a proxy for actual order flow. It is an approximation, not true Level 2 data. Volume analysis works best on instruments with reliable, consistent volume data. Forex spot volume from brokers is tick volume, not true exchange volume. Anomaly detection assumes volume follows a roughly normal distribution. During earnings seasons or major events, multiple "anomalies" may fire in succession. The volume profile is a simplified calculation using close prices, not a tick-by-tick profile. It provides a useful approximation but not exchange-grade precision. Smart money phase classification is based on volume distribution patterns, not on actual institutional order data. Climax detection identifies extreme volume events but does not predict the direction of the subsequent move. Originality Statement This indicator is original in its comprehensive, multi-layer approach to volume analysis. While individual volume tools exist, this indicator is justified because: It combines seven distinct volume analysis methodologies (classification, delta, dispersion, profile, climax, smart money, anomaly) into a unified system Z-score-based anomaly detection provides a statistical framework for identifying unusual volume that simple threshold methods miss Market phase classification (Accumulation/Markup/Distribution/Markdown) adds a Wyckoff-inspired context layer to raw volume data Volume dispersion measurement quantifies the spatial distribution of volume across the price range, a metric not available in standard volume indicators The delta divergence detection system identifies hidden disagreements between price and volume pressure The comprehensive dashboard presents 14 metrics simultaneously for holistic volume analysis Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss. Volume analysis is a tool for understanding market participation, not a crystal ball for predicting future price movement. Always use proper risk management. The author is not responsible for any losses incurred from using this indicator. -Made with passion by officialjackofalltrades
Pine Script® indicator
by officialjackofalltrades
Institutional Footprint Divergence Engine🔹 Introduction This indicator, the Institutional Footprint Divergence Engine, attempts to identify moments where price action and genuine order flow diverge — a condition that historically precedes reversals driven by smart money absorption and distribution. The core idea is this: if price makes a new swing high but the underlying buy-sell delta is contracting, the market is printing a higher high on less aggressive buying pressure, suggesting the move is being distributed into rather than genuinely accumulated. The inverse is equally meaningful at lows. Unlike traditional divergence indicators that use derivative oscillators like RSI or MACD as the proxy for momentum, this script uses volume delta — the direct arithmetic difference between buying and selling volume at the bar level — sourced natively from TradingView's newly released request.footprint() function where a Premium or Ultimate subscription is active. On standard charts, the indicator falls back to a tick-estimated delta approximation. The distinction matters, and I'll cover precisely why throughout this description. Every detected divergence is assigned a composite quality score from 0 to 100, computed across five weighted dimensions that assess the structural strength, volume context, cumulative delta alignment, and volatility regime at the moment of detection. Only divergences that clear a user-defined score threshold are displayed — filtering the noise that plagues most divergence tools. 🔹 The Premise — Why Delta Divergence Reveals Institutional Behavior 🔸 What volume delta actually measures Every transaction in a liquid market has a buyer and a seller. Volume delta measures the net directional aggression of those transactions: it is the sum of volume that traded at the ask (aggressive buying) minus the volume that traded at the bid (aggressive selling) within a single bar. A positive delta bar means buyers were more aggressive. A negative delta bar means sellers were more aggressive. This is categorically different from price direction. A bar can close higher while posting a negative delta — meaning price moved up, but sellers were the more aggressive counterparty throughout the move. This is the fingerprint of absorption: a large participant or group of participants quietly selling into rising price, absorbing aggressive buy orders without allowing the market to fall. They want retail to push price higher. They're using that momentum as liquidity to distribute their position. Delta divergence is the systematic detection of this condition across swing structures. 🔸 The mechanics of absorption at swing highs Assume price has been in an uptrend and just made a swing high at $4,200 with a delta of +850 contracts — strong buyer aggression confirming the high. Price retraces, then pushes up again to $4,215, printing a higher high. But this time, the delta is only +210. Price went higher. The aggressive buying volume did not. What does this tell you? The move to $4,215 required proportionally far less buyer aggression than the move to $4,200. Two possibilities explain this: either sellers are absorbing the buying (distribution), or organic buying interest is fading and the move is increasingly resting on passive limit sell orders being consumed by declining buy-side momentum. Either way, the structural message is identical — the higher high is not supported by the order flow that created it, and the probability of continuation has deteriorated meaningfully. This is the ICT and Smart Money Concepts concept of distribution rendered in order flow terms rather than price structure terms alone. 🔸 The symmetric argument at swing lows At swing lows, the bullish divergence condition is: price makes a lower low, but the negative delta at that low is less negative than the prior swing low. Less aggressive selling at a lower price. This is absorption at the demand side — large buyers accumulating into weakness, absorbing retail sell orders without allowing price to collapse further. The lower low prints because they let it — they need the price to be there to fill their orders. But the delta tells you that sellers were unable to drive the same aggression they managed at the prior low. Harris (2003), in his foundational text on market microstructure, describes this phenomenon as informed traders systematically positioning against the uninformed flow — using the uninformed participants' aggression as liquidity. Cont, Stoikov & Talreja (2010), in their research on limit order book dynamics, demonstrate empirically that large passive participants consistently exploit periods of high aggressive flow imbalance to establish positions at favorable prices. Delta divergence is not a leading indicator in the traditional sense. It is a coincident indicator of order flow context that becomes meaningful when paired with a confirmed swing structure. 🔸 Why native footprint data changes the calculus Prior to January 2026, Pine Script had no access to true intrabar volume distribution. Every "delta" calculation in TradingView scripts was an estimate — typically assigning the bar's total volume directionally based on close position within the bar's range, or using up/down tick counting approximations. These methods are reasonable proxies but they introduce systematic errors: a bar that closes at its midpoint with heavy two-way activity looks identical to a quiet, directionless bar. TradingView's request.footprint() function changes this entirely. It exposes the actual buy and sell volume recorded at each price level (row) within the bar — the genuine transaction-level data that footprint chart platforms like Sierra Chart and Bookmap have historically required separate subscriptions and data feeds to access. The delta returned by fp.delta() is not an estimate. It is the arithmetic difference between actual ask-side and bid-side transactions aggregated across the bar. This is the first time this data has been natively programmable in Pine Script, and IFDE is built specifically around it. 🔹 How It Works 🔸 Footprint Data and the Delta Fallback On a Premium or Ultimate TradingView account with a compatible symbol, request.footprint() returns a footprint object for each bar. IFDE calls fp.buy_volume() and fp.sell_volume() to get true directional volume, and fp.delta() for the bar's net delta. It also iterates every price row via fp.rows() and evaluates row.has_buy_imbalance() and row.has_sell_imbalance() — flagging bars where a disproportionate volume cluster exists at a specific price level, which often marks the precise price where institutional absorption occurred. When footprint data is unavailable (standard account or non-supported symbol), the indicator falls back to a tick-estimated delta: up-close bars assign 100% of volume to the buy side; down-close bars assign 100% to the sell side; inside bars distribute proportionally based on close position within the range. This fallback is clearly flagged in the status label as ⚠️ ESTIMATED. The divergence logic functions identically in both modes — only the precision of the underlying delta changes. The Ticks Per Footprint Row input controls the price granularity of the footprint: smaller values create more rows with finer resolution, larger values consolidate into fewer, broader rows. For index futures like ES and NQ, 4–10 ticks per row is typically appropriate. For crypto, you may need to experiment depending on the instrument's tick size. 🔸 Swing Pivot Detection The indicator uses Pine's native ta.pivothigh() and ta.pivotlow() functions to identify confirmed swing highs and lows. The Swing Pivot Length input defines the lookback and lookahead symmetry of the pivot — a value of 10 means a bar must be the highest high within 10 bars on both sides to qualify as a pivot. Higher values find more significant structural swings but introduce more lag. Lower values are more responsive but noisier. Critically, delta is sampled at the confirmed pivot bar using ta.valuewhen() — not at the current bar. This eliminates the most common repainting failure mode in divergence indicators: using the current bar's momentum reading to classify a past pivot. The delta value associated with each pivot is locked in the moment the pivot is confirmed. 🔸 Divergence Logic Each time a new pivot high is confirmed, IFDE compares it against the previous confirmed pivot high. If the current price is higher but the current delta is lower, a bearish divergence is registered. The same comparison runs at pivot lows for bullish divergence, where current price lower and current delta less negative triggers the signal. The Divergence Lookback setting controls the maximum bar distance between the two pivots being compared. Setting this too wide increases the chance of detecting structurally irrelevant comparisons — swings separated by 150 bars on a 5-minute chart may have no meaningful relationship. Setting it too tight misses legitimate multi-leg divergences. 40–60 bars is a reasonable starting point for most timeframes. 🔸 The ML Quality Score (0–100) This is the engine's core differentiating feature. Every detected divergence is not displayed by default — it must first pass a composite quality score threshold. The score is calculated across five weighted dimensions: Delta Magnitude is the most heavily weighted dimension by default (30%). It measures how extreme the opposing delta pressure is, normalised against the rolling maximum delta magnitude over the lookback window. A divergence where the delta is merely slightly less positive scores lower than one where the delta has completely reversed sign. Volume Confirmation (25%) assesses whether total bar volume at the divergence pivot is above the 14-bar average. Low-volume divergences are structurally weaker — the absorption signal requires meaningful participation to be credible. CVD Alignment (20%) checks whether the Cumulative Volume Delta — the running sum of all bar-level deltas, mean-reverted against its own moving average — is trending in the direction that supports the divergence. A bullish divergence at a price low carries far more weight when CVD has been quietly rising even as price made new lows. Price Structure (15%) scores the magnitude of the price swing itself, relative to the current ATR. A divergence across a 0.5 ATR swing scores lower than one across a 2.5 ATR swing. Trivially small swings produce trivially meaningful divergence signals. Regime Bonus (10%) applies a bonus or penalty based on the current volatility regime, described in detail below. The weights are fully user-configurable in the 🤖 ML Score Weights input group. Shifting weight toward CVD Alignment, for example, will make the score more conservative and context-dependent. Shifting weight toward Delta Magnitude makes it more responsive to extreme single-bar order flow events. The scores are normalised internally so they always sum to 100 regardless of how you distribute the weights. Only divergences scoring above the Min Quality Score threshold are displayed. The default of 55 is intentionally permissive to begin with. As you develop familiarity with the indicator on your instrument and timeframe, raising this to 65 or 70 will progressively filter toward only the highest-conviction setups. 🔸 Adaptive Regime Detection The indicator compares the current 14-period ATR against its own simple moving average over the Regime Detection Period to classify the current volatility environment into three states: HIGH VOLATILITY, NORMAL, and LOW VOLATILITY. In high volatility regimes, the score threshold is automatically scaled up by 20% — making it harder for a divergence to pass. This is because high-volatility environments produce frequent large delta swings that generate divergence signals with greater frequency but lower predictive value. The regime is tightening the filter precisely when noise is highest. In low volatility regimes, the threshold is scaled down by 15%. Quiet, low-volatility markets are where institutional accumulation and distribution most commonly occurs under the radar — smaller delta contrasts carry more informational weight when total market activity is compressed. The current regime and adjusted score floor are displayed in the status label in the top-left corner of the pane. A subtle background colour (green tint for low vol, red tint for high vol) is painted on the price chart to give continuous regime context at a glance. 🔸 The Pane Display The indicator runs in its own pane below the price chart, containing three visual elements: The delta histogram plots the smoothed EMA of bar-level delta as coloured columns — cyan for positive (net buying) and red for negative (net selling). The colour intensity scales with the magnitude of the delta relative to the recent maximum, so visually dominant bars correspond to the highest-conviction order flow readings. The CVD deviation line in yellow shows the cumulative volume delta minus its moving average baseline. This is more useful than raw CVD for divergence context because it removes the secular trend in cumulative flow and focuses on relative shifts — making it easy to spot when CVD is rising or falling against price. The zero line serves as the delta neutrality reference. Bars crossing from negative to positive delta, or vice versa, in the context of a divergence signal are particularly significant. On the price chart, divergence lines connect the two pivot points being compared, with opacity scaling to score strength — higher-scoring divergences are rendered more vividly. Labels mark each divergence with its star rating (★ for score 55–69, ★★ for 70–84, ★★★ for 85–100) and the actual score value, along with whether live footprint data or tick estimation is in use. 🔹 Settings Reference Swing Pivot Length — Controls pivot sensitivity. Lower = more signals, higher = more structural significance. Recommended: 8–15. Divergence Lookback — Maximum bars between the two pivots being compared. Recommended: 30–75. Min Quality Score — Score threshold below which divergences are hidden. Start at 55, tune upward as you calibrate to your instrument. Ticks Per Footprint Row — Footprint granularity. Only relevant with live FP data. Tighter rows = more precision, more computation. Delta Smoothing Period — EMA period applied to raw delta before divergence comparison. Smoothing reduces false triggers from single noisy bars. Recommended: 2–5. CVD Baseline Length — Period of the SMA used to mean-revert the cumulative delta. Shorter = more responsive CVD; longer = smoother trend. Alert Min Score — Score threshold for alert conditions. Set higher than the display threshold if you want alerts only for the strongest signals. 🔹 Closing Remarks Delta divergence is one of the few conditions in technical analysis that has a genuinely defensible mechanical explanation rooted in market microstructure — it is not a pattern-matching heuristic but a direct observation of the imbalance between aggressive buying and selling pressure across a swing structure. The availability of native footprint data in Pine Script for the first time makes it possible to build this kind of tool without the estimations and approximations that have historically compromised order flow analysis within TradingView. That said, this indicator is a probabilistic model, not a signal generator. A score of 90 does not mean the trade works. It means the order flow context at that divergence was unusually well-structured relative to the five dimensions measured. Markets can and do continue trending through well-formed divergences, particularly in strongly trending regimes where institutional participants are not distributing but rather re-accumulating on every pullback. The most effective use of IFDE is as a confluence filter — a condition that must be present alongside your existing structural, session, or macro framework before you engage a level. A bearish divergence at a weekly resistance level, in a high-volatility regime, scoring 82, with live footprint data showing 7 sell imbalance clusters, is a meaningfully different proposition than a 56-scoring divergence on estimated delta at a randomly selected intraday high. Use the score. Respect the regime. Verify the data source. The rest is your edge. 🔹 References Market Microstructure & Order Flow Harris, L. (2003). Trading and Exchanges: Market Microstructure for Practitioners. Oxford University Press. Cont, R., Stoikov, S., & Talreja, R. (2010). A stochastic model for order book dynamics. Operations Research, 58(3), 549–563. Volume and Delta Analysis Easley, D., & O'Hara, M. (1992). Time and the process of security price adjustment. Journal of Finance, 47(2), 577–605. Easley, D., Hvidkjaer, S., & O'Hara, M. (2002). Is information risk a determinant of asset returns? Journal of Finance, 57(5), 2185–2221. Institutional Order Flow & Smart Money Chordia, T., Roll, R., & Subrahmanyam, A. (2002). Order imbalance, liquidity, and market returns. Journal of Financial Economics, 65(1), 111–130. Grinblatt, M., & Keloharju, M. (2000). The investment behavior and performance of various investor types. Journal of Financial Economics, 55(1), 43–67.
Pine Script® indicator
by Resonant_Trader
1
Esco Psychological Theory [v1]Esco Psychological Theory An experimental framework for visualizing market psychology, crowd positioning, and institutional intent — derived entirely from price structure. -Experimental Indicator This tool does not generate buy or sell signals. Esco Psychological Theory is a psychological lens — a way of interpreting what participants are likely feeling and who benefits from those emotional conditions. Treat it as a research framework, not a trading system. What This Is Price does not simply move between support and resistance. It moves through emotional states. Every candle on your chart represents thousands of decisions made under fear, greed, hope, regret, and panic. Those emotions are not random — they tend to appear in recognizable structural patterns. Smart money does not simply buy low and sell high. It often creates the emotional conditions that force the crowd to do the opposite. Esco Psychological Theory attempts to model this process. It reads structure, volatility expansion, displacement, liquidity sweeps, failed breakouts, and wick behavior — then infers what market participants are likely experiencing and how institutional players may be responding. This indicator is not trying to predict price. It is trying to frame why price may be behaving the way it is. The Psychological Model Markets tend to cycle through recognizable emotional regimes. This indicator models those transitions using a sequential state machine. Regimes progress through adjacent states rather than jumping randomly, producing a more realistic psychological narrative. The cycle: COMFORT → TENSION → HOPE → TRAP RISK → PANIC → CAPITULATION → RELIEF → REACCUMULATION → … Each regime leaves structural fingerprints that can be observed in price behavior. Comfort Low volatility, orderly trend behavior, shallow pullbacks. The crowd feels positioned and confident. This is often where smart money quietly builds exposure. Tension Equal highs/lows begin forming. Repeated rejection at key levels. Volatility compresses. Something is building. Hope A displacement candle breaks structure. Breakout traders enter aggressively. Momentum appears convincing. The move looks real. Trap Risk The breakout stalls or fails to continue. Price reclaims prior levels. Large wicks appear at extremes. Late entries are now vulnerable. Panic Structure shifts against the prior trend. Stops trigger. Positions unwind quickly. Volume spikes. Capitulation Consecutive displacement candles appear. Multiple structure breaks occur rapidly. Maximum forced repositioning. Relief Volatility begins to decline. Price stabilizes and the market pauses. Participants exit remaining positions. Reaccumulation Compression forms around new price levels. Fresh pivots emerge. Smart money quietly finishes positioning for the next cycle. Modules Emotional Regime Engine Classifies the market’s current psychological regime using the sequential state model. Transitions are constrained to realistic sequences rather than random jumps. Labels appear only when the regime changes. Optional background shading and a timeline ribbon allow you to visually track emotional phases across the chart. Smart Money Intent Estimates institutional behavior based on structural evidence. Six possible classifications are evaluated simultaneously with confidence scoring. Accumulation Repeated demand absorption and compression near discount levels. Distribution Repeated supply rejection and compression near premium levels. Liquidity Harvest Sweeps of equal highs or lows followed by sharp displacement reversals. Trap Engineering Failed breakouts combined with equal level buildup and overextension. Passive Absorption Quiet wick rejection and declining volume at key levels. Aggressive Repricing Consecutive displacement candles and decisive structure breaks. Crowd Bias Infers likely crowd positioning based on structure alignment and momentum behavior. Possible states include: Positioned Long / Positioned Short Trapped Long / Trapped Short Chasing Momentum Indecisive / Neutral Pain & Pressure Engine Estimates where future price movement would create the greatest psychological stress. Pain direction is derived from: trapped positioning recent liquidity sweeps failed breakout attempts distance from equilibrium premium / discount positioning Pressure intensity (0–100%) measures the amount of latent repositioning energy in the market. When pressure exceeds 70%, candles receive a subtle amber tint. Soft gradient bands above and below price indicate potential pain direction — areas where movement could force the most participants to react. Psychological Pressure Zones Event-driven zones are created when structural events occur. FOMO Zones Breakout areas where late buyers or sellers entered. Regret Zones Failed breakout ranges containing trapped traders. Trap Zones Sweep-and-reclaim areas where liquidity was harvested. Forced Zones Panic and capitulation ranges created during liquidation events. Zones automatically deduplicate, fade with time, and disappear once price cleanly resolves through them. Premium / Discount Context Using the most recent major swing high and low, the indicator calculates range positioning. The chart displays: Premium (top 25%) Discount (bottom 25%) Equilibrium midpoint The dashboard shows the exact percentage location within the range. Dashboard A compact panel summarizes the full psychological read of the market. Displayed metrics include: Regime — current emotional state Crowd — inferred crowd positioning Intent — smart money classification with confidence score Pain — directional pain bias Pressure — psychological pressure intensity Zone — premium / discount / equilibrium position Phase — cycle phase progression What This Indicator Is Not This indicator does not predict price direction. It does not have access to order flow, liquidation data, or actual market positioning. Instead, it infers probable psychological conditions from the structural footprint that emotion leaves on a chart. The classifications and intent scores are probabilistic interpretations, not definitive signals. Use this as one analytical layer alongside your own discretionary framework. Inputs All modules can be enabled or disabled independently. Key configuration options include: Swing Lookback Major Swing Lookback Maximum Zone Age / Visible Zones Regime Background and Timeline Ribbon Pain Gradient and Pressure Bar Colors Premium / Discount Shading Event Markers (displacement candles, sweeps, MSS, squeeze events) Notes Overlay indicator (drawn directly on the price chart) Pine Script v6 Compatible with all markets and timeframes Lower timeframes may require smaller swing lookback values (10–14 recommended) Higher timeframes benefit from larger values (21–50 recommended) Feedback This is the first public release of Esco Psychological Theory. The framework is experimental and will continue evolving. If you test it and have feedback, ideas, or suggestions for improving the psychological model or visual design, I would genuinely love to hear them. Community input is welcome and appreciated. Esco Psychological Theory Structure reveals emotion. Emotion reveals intent.
Pine Script® indicator
by escobrypto
Sessions + [Interakktive]Sessions + is a multi-layer session intelligence indicator that maps the trading day's structure across three analytical layers: institutional levels, ICT concepts, and real-time analytics. It combines session detection, a full hierarchy of reference levels from hourly to quarterly, killzone effectiveness grading, Power of 3 phase detection, CBDR expansion targets, a live VWAP-based DNA predictor, anomaly monitoring, and an adaptive plain-English dashboard into a single overlay. The indicator works across all asset classes — crypto, forex, stocks, indices, and commodities — with automatic asset class detection that adjusts which sessions and analytics are relevant. On intraday timeframes it provides full session intelligence. On daily, weekly, and monthly charts it automatically pivots to showing institutional reference levels and an adaptive dashboard that tells you where price sits relative to yesterday, the weekly range, and the monthly structure. No competitor session indicator adapts across timeframes like this. Sessions + is a context tool, not a signal generator. It does not issue buy or sell signals. It answers the question every session trader asks before placing a trade: "Where am I in the trading day, and is this session worth trading?" Like all technical analysis, it works best when combined with proper risk management and the trader's own judgment. ⚙️ **The Dashboard** The dashboard synthesizes all active intelligence into a plain-English panel. Every row shows a narrative — not raw numbers. "Strong Bearish — Ranging" instead of "-0.45". "Range Exhausted" instead of "82%". "NY likely bullish" instead of "65% cont". Six views control density: Off, Minimal (session + verdict), Status (adds killzone grades, timing, bias, ADR, activity), Trade (adds PO3, energy, projections), Analytics (adds DNA, flow, range, efficiency, anomalies), and Full (everything). Each progressive view includes the rows from previous views so context is never lost. The verdict row combines directional bias with regime classification into a single answer: "Leaning Bullish — Trending", "No Clear Edge — Ranging", "Strong Bearish — Volatile". One glance, one decision. *Dashboard in Full mode on BTCUSD 15m: plain-English intelligence across every row — verdict with regime, killzone grades (LDN:A, LC:A), PO3 phase, DNA live read, inter-session flow, anomaly detection with warning. Session boxes and VWAP provide chart context behind the panel.* ⚙️ **Levels Layer — Institutional Reference Lines** Sessions + provides a complete hierarchy of institutional reference levels, each with visual weight that scales with timeframe importance: Previous Hour High/Low (PHH/PHL) — dotted micro-levels for intraday scalping. Previous Day High/Low/Close (PDH/PDL/PDC) — the daily framework that institutional traders watch for liquidity grabs. Previous Week High/Low (PWH/PWL) — swing-level institutional references where weekly liquidity rests. Previous Month and Quarter High/Low (PMH/PML/PQH/PQL) — the heavyweight levels where hedge funds and central banks operate. Additional level features include: ADR Projection Levels (expected daily high/low from the midnight open), Opening Range (the first N minutes' range as a breakout reference with a clearly filled box), Session VWAP (institutional volume-weighted benchmark per session), and Session Equilibrium (the 50% midpoint of each session's range — a magnet for retracements). Every level label includes a tooltip explaining why it matters and how to use it. *Levels Layer on BTCUSD 15m: institutional levels from hourly through weekly — PDH, PDC, PWH (heavier line weight), ADR High/Low projections, Session Equilibrium (dashed), Opening Range, and VWAP line. Labels on the right edge show level names and prices. Visual weight increases with timeframe importance.* ⚙️ **ICT Layer — Killzones, Power of 3, and CBDR** The ICT Layer implements key Inner Circle Trader concepts with intelligence features that go beyond static time boxes. Killzones highlight four high-probability time windows (Asian, London Open, NY AM, London Close) with individual toggles and configurable times. Each killzone is graded A+ through D based on its historical reversal success rate and move quality on the specific instrument — a feature not found in other session indicators. Grades update as data accumulates, helping traders focus on the killzones that actually work for the asset they are trading. Power of 3 Detection divides the selected session into three institutional phases — Accumulation (range building), Manipulation (false break), and Distribution (true directional move). Rather than floating labels above candles, the phases are shown as zones inside the session box with vertical dividers and phase names at the bottom, creating a clear visual narrative of how the session developed. CBDR Projections (Central Bank Dealers Range) calculate the range formed during 20:00–00:00 UTC and project 1x and 2x expansion targets above and below. The 2x target is drawn with heavier line weight — this is where the real daily move often reaches. Additional ICT features include Silver Bullet windows (AM and PM reversal windows), Macro Times (5-minute reversal windows at key NY times), Midnight Open (00:00 UTC true day open), and Weekly Open (Monday's opening price as a bias reference). *ICT Layer on EURUSD 15m: CBDR expansion targets (cyan lines — 1x dashed, 2x solid), killzone backgrounds with effectiveness grades (London Open A, London Close C), Silver Bullet window (green), Midnight Open reference line, and PO3 Distribution label. Dashboard in Status view shows KZ Grades and Silver Bullet Grades.* ⚙️ **Analytics Layer — Session DNA, Flow, and Anomaly Detection** The Analytics Layer provides intelligence features that help traders evaluate session quality in real time. Session DNA is a live VWAP-based predictor that tracks where price sits relative to the session's Volume-Weighted Average Price. Each session gets a narrative box below it that builds as the session develops: "Bull" means price has stayed above VWAP, "Bear - Bull" means it started bearish then flipped bullish, "Bear - Neutral - Bull" tells a choppy reversal story. The narrative uses a 5-bar confirmation filter and caps at 4 entries to prevent noise. Previous session DNA can be toggled on to see the historical track record. Inter-Session Flow tracks whether London tends to continue or reverse Asian's direction, and whether NY follows London. The dashboard shows this as a plain-English prediction: "NY likely bullish" or "NY may reverse" — combining the historical continuation rate with the current session's actual direction. Anomaly Detection monitors six types of unusual conditions in real time: range anomalies (session range far from normal), volatility spikes, timing anomalies (high/low at unusual phases), inter-session gaps, flow contradictions (direction against history), and ADR consumption rate. When anomalies fire, chart markers appear with tooltips explaining what to expect and how to adjust risk management. Additional analytics include Session Score (a 0-100 energy rating answering "is this session worth trading?"), Regime Detection (classifying the market as Trending, Ranging, Volatile, or Dead — merged into the dashboard verdict), and Efficiency tracking. *Analytics Layer on XAUUSD 15m: Session DNA narrative boxes below each session — "Bear - Bull" shows the Asian session started bearish then flipped bullish, "Bear" shows the current London session is bearish. Dashboard in Analytics view shows DNA (Live), Flow prediction ("NY likely bearish"), Range ("Compressed"), Efficiency ("Choppy"), and Anomaly status.* ⚙️ **Multi-Timeframe Adaptivity** Sessions + automatically adapts its behavior based on the chart timeframe. This is not a feature you toggle — it happens intelligently. On sub-hourly timeframes (1m through 45m): full session experience with boxes, labels, DNA, killzones, all levels, and the complete dashboard. On hourly timeframes (1H through 4H): session boxes remain but session labels are suppressed to prevent clutter. Killzones and sub-hourly features are disabled. The dashboard shows session context without granular details. On daily and higher timeframes: session boxes are completely hidden. The indicator pivots to institutional reference levels — PDH/PDL, PWH/PWL, PMH/PML, PQH/PQL, and ADR projections. The dashboard adapts its rows to show higher-timeframe context: "Below Yesterday's Close", "Near Weekly High", "Mid Monthly Range". This means traders can keep Sessions + on their chart across all timeframes without it breaking or showing meaningless data. *Daily chart on BTCUSD: Sessions + automatically shows institutional levels only — PMH (79356), PML (60072, red), PDH/PDC (dashed), ADR High/Low projections. No session boxes, no intraday clutter. Dashboard shows higher-timeframe context: Verdict "Ranging", vs Yesterday, Weekly position, Monthly position, and ADR status.* ⚙️ **Alert System** Sessions + provides 39 alert conditions through TradingView's built-in alert system. All conditions are always active — traders choose which to enable through TradingView's alert dialog. Conditions include: session start/end events, killzone activations, ADR exhaustion, anomaly detection, regime changes, PO3 phase transitions, Silver Bullet window events, and more. ⚙️ **Settings and Customization** The indicator has approximately 70 configurable inputs organized into clear groups: Main Settings (asset class, history, lookback), Session Config (times, box style, early/extended detection), Levels Layer (each level type individually toggleable), ICT Layer (each concept independently controlled with individual killzone toggles), Analytics Layer (DNA, regime, flow, score, anomaly), Display (dashboard view, position, size, labels), and Colors (every element customizable). Every non-color input includes a tooltip explaining what it does and why it matters. ⚠️ **Limitations and Honest Caveats** Sessions + is a technical analysis tool with inherent limitations: No indicator predicts the future. Session DNA, flow analysis, and regime detection are based on historical patterns and VWAP positioning — they provide probabilistic context, not certainty. Past session behavior does not guarantee future performance. The indicator is designed for intraday and swing trading on liquid markets. On illiquid instruments or during holidays, session behavior may be abnormal and analytics less reliable. Killzone effectiveness grades need sufficient historical data to stabilize — expect "Building data..." for the first several sessions. Anomaly detection sensitivity affects how many markers appear — higher sensitivity means more alerts, some of which may be noise. Session times use forex convention by default (UTC-based). Stock traders should note that the Asian session box covers Tokyo hours, not US pre-market. ADR projections assume symmetric distribution from the midnight open, which is a simplification — markets often have directional bias. The indicator uses 7 request.security calls (well within limits) but traders running multiple multi-timeframe indicators should be aware of potential resource constraints. ⚠️ **Risk Disclaimer** All content, tools, scripts, and educational material provided are purely for informational and educational purposes. This indicator does not constitute financial, investment, or trading advice. Trading involves substantial risk of loss. Past performance and historical analysis do not guarantee future results. Users are solely responsible for their own trading decisions. Always conduct your own due diligence and consult a qualified financial advisor before making investment decisions.
Pine Script® indicator
by Interakktive
Institutional Delta Sweeps [BOSWaves]Institutional Delta Sweeps - Liquidity Engineering Detection with Sweep-Confirmed Directional Zones Overview Institutional Delta Sweeps is a liquidity-aware market structure system that identifies engineered price movements designed to absorb resting orders at significant swing highs and lows, then projects directional action zones derived from confirmed sweep behavior. Rather than treating price extremes as simple support and resistance levels, this system evaluates them as active liquidity pools, concentrations of stop orders and pending positions that institutional order flow systematically targets before reversing. Sweep detection, pool visualization, and forward-projecting action zones are each driven by structural pivot logic, ATR-normalized zone construction, and comet-decay fade modeling. This produces a dynamic picture of where liquidity rests, which pools have been raided, and where post-sweep directional opportunity emerges, distinguishing engineered reversals from ordinary price fluctuations rather than treating all breakouts as directional commitments. Conceptual Framework Institutional Delta Sweeps is founded on the principle that price does not break significant swing levels to continue, it breaks them to collect. The majority of retail positions cluster around swing highs and lows in the form of stop-loss orders and breakout entries, creating predictable liquidity concentrations that larger participants systematically exploit before reversing. Traditional breakout frameworks interpret price exceeding a prior swing high or low as directional confirmation. This system inverts that premise: a wick beyond a structural level that closes back inside is treated not as a failed breakout but as a deliberate liquidity raid, and the close back inside, paired with structural reversion, becomes the actual signal. Three core principles guide the design: Liquidity pools form predictably at structural pivot highs and lows where the majority of the market has positioned stops. A sweep is confirmed only when price wicks through the pool and the bar closes back inside prior structure, indicating rejection rather than continuation. Post-sweep directional opportunity exists within the zone created by the sweep candle itself, where the aggressive move originated. This reframes conventional breakout analysis into a liquidity engineering detection framework anchored in institutional order flow principles. Theoretical Foundation Institutional Delta Sweeps combines pivot-based structural identification, ATR-normalized zone construction, sweep confirmation logic, and time-decay visualization modeling. Swing highs and lows are identified through configurable left and right pivot lookback periods, locating price extremes that attracted sufficient market participation to create meaningful liquidity concentrations. ATR-based zone depth provides adaptive scaling that accounts for varying volatility regimes, ensuring pool boundaries reflect realistic stop clustering distances rather than fixed offsets. Comet-decay fade modeling progressively reduces zone opacity as pools age, visually communicating diminishing relevance without removing valid unswept levels. Four internal systems operate in tandem: Pivot Detection Engine : Identifies confirmed structural highs and lows using bilateral lookback logic, capturing swing extremes with sufficient confirmation on both sides. Liquidity Pool Construction : Builds ATR-scaled zone boxes above swing highs and below swing lows, with inner and outer boundary layers representing the core and extended stop clustering regions. Sweep Confirmation Logic : Validates liquidity raids by requiring both wick penetration of the pool and a closing price back inside prior structure on the same candle, filtering genuine raids from false breakouts. Comet-Decay Fade System : Applies exponential aging to unswept pool opacity, creating a visual comet-trail effect where fresher zones display with full intensity and older zones fade progressively toward expiry. This architecture distinguishes active liquidity targets from stale, already-discounted levels while providing clear visual hierarchy across the chart. How It Works Institutional Delta Sweeps processes price through a sequence of structure-aware evaluation steps: Pivot Identification : Bilateral lookback logic confirms swing highs and lows once sufficient price bars exist on both sides, anchoring zone placement to structurally significant levels. Zone Construction : ATR-scaled boxes are drawn above each confirmed pivot high and below each confirmed pivot low, establishing the expected stop-clustering region with inner and outer boundary layers. Level Line Projection : A horizontal reference line extends from each pivot price forward in time, maintaining visibility of the exact sweep threshold as price develops. Market Structure Visualization : ZigZag connections between alternating swing highs and lows provide directional context, identifying the prevailing structural sequence surrounding each liquidity pool. Comet-Decay Application : As bars accumulate from zone creation, opacity decreases via cubic decay curve. Fresh zones appear solid and prominent, aging zones fade toward invisibility approaching the maximum age threshold. Sweep Detection : Each bar is evaluated against all active unswept zones. A bearish sweep confirms when price wicks above a high zone and closes below the pivot level with an open below it. A bullish sweep confirms when price wicks below a low zone and closes above the pivot level with an open above it. Cooldown Enforcement : A configurable bar cooldown between sweeps of the same directional type prevents multiple triggers within the same impulse move, maintaining signal quality during volatile sequences. Sweep Highlight Rendering : A localized box is drawn around the sweep wick from the wick extreme to the pivot price, visually marking the exact penetration zone with directional color coding. Penetration Labeling : The percentage distance the wick traveled beyond the pivot price is calculated and displayed, quantifying the depth of the liquidity raid for contextual assessment. Post-Sweep Zone Projection : Buy and Sell zones are drawn forward from the sweep candle body, extending a configurable number of bars into the future and marking the actionable re-entry region derived from the sweep structure. Together, these elements form a continuously updating liquidity map that distinguishes engineered price movements from genuine directional expansion. Liquidity Pools Liquidity pools are the foundational structural element of this system. Each confirmed pivot high produces a bearish pool, a zone above the swing extreme where buy-stop orders and breakout entries have accumulated. Each confirmed pivot low produces a bullish pool, a zone beneath the swing extreme where sell-stop orders and breakdown entries cluster. Pool depth is determined by the ATR Zone Width parameter, scaling zone thickness relative to recent volatility so that stop-clustering boundaries remain proportional to actual market movement ranges regardless of instrument or timeframe. An inner boundary layer within each pool highlights the densest expected stop concentration, while the outer boundary captures the extended reach of the zone. Pools remain visible and active until one of two conditions is met: the zone is swept and confirmed, or the maximum zone age is exceeded. During their lifespan, pools fade progressively through the comet-decay model. Brightest at creation, dimming exponentially as time passes, providing immediate visual distinction between recently formed levels with high relevance and aged levels with diminishing structural significance. This creates a living liquidity landscape across the chart, where the most actionable pools stand out clearly and historical zones naturally recede without requiring manual management. Sweep Signals & Post-Sweep Zones Sweep detection is the core signal event of this system. A confirmed sweep requires precise price behavior: the wick must penetrate the liquidity pool, but the bar must close entirely back inside prior structure with the open also inside structure, confirming that the excursion was absorbed and rejected rather than sustained. When a bearish sweep confirms, a SELL ZONE is projected forward from the sweep candle body. This zone spans from the high of the sweep candle down to the upper boundary of the candle body, extending forward a configurable number of bars. The logic behind this zone is structural: the candle body represents where price was before and after the raid, and a return to this region following the sweep constitutes a re-engagement with the origin of the institutional move. Bearish continuation from within this zone aligns with the directional implication of the sweep. When a bullish sweep confirms, a BUY ZONE is projected forward from the sweep candle body. This zone spans from the lower boundary of the candle body down to the sweep wick low, extending forward across the same configurable projection window. A price return into this zone after the sweep offers a structurally anchored re-entry aligned with the bullish implication of the liquidity raid. Both zone types display with dashed borders and low-opacity fills to distinguish them from the liquidity pools themselves, and each carries a directional text label for immediate visual identification. The penetration percentage label at each sweep candle provides additional context, quantifying exactly how far price traveled into the liquidity cluster before rejecting. Deeper penetrations often indicate more aggressive institutional participation. Sweep cooldown parameters prevent duplicate zone projection during fast markets, ensuring each projected zone corresponds to a single clean sweep event rather than a cascade of overlapping signals. Interpretation Institutional Delta Sweeps should be interpreted as a structural liquidity map with directional implications derived from confirmed engineered reversals: Active Liquidity Pool (Bearish - Red) : Marks a confirmed pivot high where sell-stop and breakout-buy orders are clustered, representing a viable sweep target for downside liquidity raids. Active Liquidity Pool (Bullish - Green) : Marks a confirmed pivot low where buy-stop and breakdown-sell orders cluster, representing a viable sweep target for upside liquidity raids. Zone Opacity : Brighter, more saturated zones are recently formed and structurally relevant. Faded, transparent zones are aging toward expiry and carry reduced analytical weight. Sweep Highlight Box : A small colored box enclosing the sweep wick marks the exact penetration region, distinguishing the raid candle visually from surrounding price action. SWEEP % Label : Percentage above or below the pivot that the wick reached, providing raid depth context for conviction assessment. SELL ZONE (Red Dashed) : Forward-projecting zone derived from a bearish sweep candle body, marking the region where price return offers structurally aligned short opportunity. BUY ZONE (Green Dashed) : Forward-projecting zone derived from a bullish sweep candle body, marking the region where price return offers structurally aligned long opportunity. Market Structure Lines : ZigZag connections between swing extremes provide directional trend context surrounding each liquidity pool. Pool age, sweep confirmation quality, and structural trend alignment carry more interpretive weight than isolated wick penetration depth alone. Strategy Integration Institutional Delta Sweeps fits within liquidity-informed and structure-based trading approaches: Sweep-Confirmed Reversals : Enter in the direction of the sweep implication, short following bearish sweeps, long following bullish sweeps, using the projected zone as the entry region. Zone Re-entry Precision : Rather than entering immediately at the sweep candle close, wait for price to return to the projected Buy or Sell zone, offering a lower-risk entry with a structurally defined reference. Pool-Based Anticipation : Identify active unswept pools ahead of price as areas where sweep attempts may occur, allowing pre-positioning for the subsequent reaction. Structural Context Filtering : Use the market structure ZigZag to assess whether a sweep aligns with the broader directional sequence. Sweeps occurring against the prevailing structure carry higher reversal probability. Penetration Depth Assessment : Deeper sweep penetrations may indicate more significant liquidity absorption, potentially supporting higher-confidence directional commitment following confirmation. Multi-Timeframe Liquidity Mapping : Apply higher-timeframe pools as macro sweep targets and lower-timeframe sweep confirmations as precision entry triggers within the same directional thesis. Technical Implementation Details Pivot Engine : Bilateral lookback pivot detection with configurable left/right confirmation periods Zone Construction : ATR-scaled dual-layer box system with inner concentration boundary and outer cluster boundary Decay System : Cubic comet-decay fade applied to zone opacity across maximum age lifespan Sweep Logic : Wick-penetration plus same-bar close-back confirmation with directional cooldown enforcement Post-Sweep Projection : Body-anchored forward zones with configurable bar extension and dashed border styling Visualization : Layered box architecture with level lines, sweep highlights, penetration labels, and directional zone text Signal Logic : Alert conditions for both bullish and bearish sweep confirmations Performance Profile : Optimized for real-time execution across all timeframes Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Intraday liquidity raid detection with tighter pivot lookbacks for responsive pool formation 15 - 60 min : Session-level sweep identification with balanced zone aging and medium projection windows 4H - Daily : Macro liquidity pool mapping with wider pivot lookbacks and extended zone persistence Suggested Baseline Configuration: Pivot Lookback Left : 20 Pivot Lookback Right : 20 Sweep Cooldown Bars : 10 Zone ATR Width : 0.3 Max Zone Age (Bars) : 200 Buy/Sell Zone Projection : 50 bars Show Liquidity Pools : Enabled Highlight Sweep Zone : Enabled Show Sweep Labels : Enabled Project Buy/Sell Zones After Sweep : Enabled Show Market Structure : Enabled These suggested parameters represent a balanced starting point; asset-specific volatility profiles, structural swing frequency, and preferred signal density will require individual calibration for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Too many zones forming : Increase Pivot Lookback Left and Right to require greater structural significance before a swing qualifies as a liquidity pool. Zones expiring before being tested : Increase Max Zone Age to extend pool lifespan, particularly useful on slower-moving instruments. Overlapping sweep signals : Increase Sweep Cooldown Bars to enforce greater separation between consecutive detections during volatile sequences. Buy/Sell zones expiring before price returns : Increase Zone Projection bars to extend forward reach, allowing more time for post-sweep re-entries to develop. Zones too thick or thin relative to price action : Adjust ATR Zone Width to scale pool depth proportionally to the instrument's typical volatility range. Signal noise in ranging conditions : Tighten Pivot Lookback to require more local context around each swing, reducing zone formation in non-trending environments. Adjustments should be assessed across a representative sample of market conditions rather than tuned to a single isolated session. Performance Characteristics High Effectiveness: Trending markets with clear structural swing sequences and consistent directional momentum following sweep events Instruments with predictable stop clustering behavior at technical swing levels Reversal-oriented strategies entering at sweep confirmation with post-sweep zone precision Multi-timeframe frameworks where higher-timeframe pools provide macro sweep targets Reduced Effectiveness: Grinding, overlapping markets where swing points form erratically without clean separation Instruments with thin liquidity where stop-cluster raids are less institutionally driven News-spike environments where price gaps through zones without canonical sweep-and-close patterns Extended consolidation phases where pools accumulate without sufficient directional momentum to trigger sweep events Markets with structural volatility expansion that consistently overshoots zones, triggering false sweep confirmations Integration Guidelines Pool Respect : Treat unswept pools as live structural targets. Price approaching these zones carries sweep attempt probability that should inform position management. Zone Discipline : Only engage Buy and Sell zones when price returns to them after the sweep. Immediate entry at the sweep candle close sacrifices the structural precision the zone provides. Structural Alignment : Weight sweeps more heavily when they align with the prevailing ZigZag structure sequence, and treat counter-structure sweeps as higher-risk with reduced position sizing. Confluence : Combine with BOSWaves momentum tools, volume analysis, or session context to validate sweep events with supporting evidence beyond price structure alone. Pool Age Awareness : Fresh pools with high opacity represent recently formed liquidity concentrations with strong relevance. Faded pools approaching age expiry warrant lower confidence in clean sweep behavior. Disclaimer Institutional Delta Sweeps is a professional-grade liquidity analysis and market structure tool. It applies pivot-based zone detection, ATR-normalized pool construction, and sweep confirmation logic but does not predict future price movements. Results depend on market conditions, structural swing clarity, parameter configuration, and disciplined execution. BOSWaves recommends deploying this indicator within a comprehensive analytical framework that incorporates momentum context, volume behavior, and rigorous risk management protocols.
Pine Script® indicator
by BOSWaves
4
Institutional Order Zones | ProjectSyndicateInstitutional Order Zones automatically identifies and power-ranks high-probability institutional zones by analyzing market compression events and explosive breakout candles. It filters for quality, calculates a SCORE for every zone based on its formation dynamics and historical interaction, and presents all data on the chart and in a comprehensive dashboard to eliminate clutter and focus on levels that matter. • 🎯 Proprietary Three-Engine Architecture — the algorithm does not use generic pivots or standard support/resistance detection. Engine 1 (Order Compression) identifies statistically quiet consolidation periods using ATR percentile compression and linear regression slope neutrality. Engine 2 (Institutional Breakout) detects the institutional breakout candle — body and volume must both spike simultaneously above statistical thresholds. Engine 3 (Zone Scoring) assigns every zone a score from 0-100 based on Breakout Strength (40pts), Order Compression Duration (30pts), and Post-Breakout Momentum (30pts). • 🎨 Score-Based Visuals — zones are color-coded into three tiers based on their 0-100 score. STANDARD (0-34): purple-magenta resistance / bright teal support. STRONG (35-64): dark red resistance / medium teal support. INSTITUTIONAL (65-100): deep pink resistance / dark teal support. Higher-tier zones automatically receive a thicker border and centerline for instant visual priority. • 🧠 Advanced Zone Management — zones are dynamically updated on every bar. A price rejection adds +10 to the zone score and promotes its status to VALIDATED. A price breach subtracts -20 and marks the zone as VIOLATED. Violated zones can be hidden or shown via a toggle input. • 📈 Detailed On-Chart Markup — every zone is plotted with a label anchored inside the shaded area: TIER | Sc:xx.x | STATUS | Dis:xx.x% | Dur:nb | Rej:n Brc:n. This shows the zone tier, composite score, current status (NEW / VALIDATED / VIOLATED), the breakout dislocation strength as a percentage, the consolidation duration in bars, and the full rejection and breach history. • 🧭 Comprehensive Dashboard Display — get a complete market overview without leaving your chart. The Zone Rankings panel shows the nearest Resistance and Support zones ranked by proximity, with price, tier flag, score, and pip distance per row. The Market Stats panel shows the current session, daily range vs 10-day ADR, volatility state (LOW / NORMAL / HIGH), and the total count of active Institutional-grade zones on each side. • 🔔 Comprehensive Alerts — get an alert whenever price enters proximity of a Standard zone, a Strong zone, or an Institutional zone, with separate alert conditions for resistance and support so you can filter exactly what matters to your setup. • ✅ Quality Control Filters — user-configurable inputs for ATR percentile threshold, slope neutrality tolerance, minimum compression duration, body multiplier, and volume multiplier allow for deep customization. Tighten the thresholds for fewer, higher-quality zones. Loosen them for broader coverage on lower timeframes. • 🔧 Fully Customizable — control everything from the max number of zones shown, lookback period, zone width percentage, and extend-right bars to the text size of all labels, dashboard size, and individual zone colors. • 🎯 Why this algo is unique: Standard supply/demand or FVG indicators rely on simple pattern recognition (gap between candles, pivot highs/lows). This algorithm quantifies the underlying market state that precedes institutional moves. It measures the quality of the compression that created the zone and the statistical significance of the breakout that validates it. Every zone has a score you can trust, not just a visual box. • 🚀 Apply to Gold (XAUUSD), Forex, Crypto, and Indices on any timeframe. The ATR-based detection and zone width settings allow it to adapt to anything from M5 scalping to D1 swing trading. • 🎯 How to use this? Use the dashboard to identify the strongest, closest zones. Focus on price action around INSTITUTIONAL-tier zones (Score >= 65) that align with your higher-timeframe bias. Use the alerts to know when price is approaching a key level so you are never caught off guard. • ⚠️ IMPORTANT NOTICE: This indicator is designed to identify high-probability institutional order zones. It should NOT be used as a standalone signal for entering live trades. Always use it in conjunction with your own trading strategy, price action analysis, and other technical indicators to confirm trade setups and manage risk.
Pine Script® indicator
by ProjectSyndicate
Institutional Footprint Scanner [JOAT]Institutional Footprint Scanner Introduction The Institutional Footprint Scanner (IFS) is an advanced open-source order flow analysis indicator that detects institutional trading activity through multi-dimensional market microstructure analysis. This indicator combines Order Flow Toxicity Index, Volume Profile with Point of Control (POC), Absorption Coefficient analysis, Smart Money Divergence detection, Liquidity Void identification, Footprint Clustering, Tape Reading metrics, and Iceberg Order detection to reveal when large institutional players are actively positioning in the market. Unlike basic volume indicators that simply show volume bars, IFS quantifies institutional behavior through sophisticated algorithms that analyze aggressive vs passive order flow, volume distribution across price levels, absorption patterns, market depth proxies, and hidden liquidity. The indicator synthesizes these multiple perspectives into a unified confidence score and visualizes institutional activity through a dynamic 9-layer gradient ribbon, color-coded chart overlays, and a comprehensive real-time dashboard. Why This Indicator Exists This indicator addresses the challenge of identifying institutional order flow in real-time without access to Level 2 order book data. When large institutional players enter positions, they create detectable signatures across multiple market dimensions. IFS systematically detects these patterns to reveal: Order Flow Toxicity: Measures aggressive vs passive flow to identify when institutions are aggressively taking liquidity Volume Profile Analysis: Identifies Point of Control (POC), Value Area High/Low, and high/low volume nodes Absorption Coefficient: Quantifies institutional absorption strength when high volume produces minimal price movement Market Microstructure: Analyzes spread dynamics and market depth to detect market maker behavior Smart Money Divergence: Detects multi-oscillator divergences (RSI, MFI, CVD) indicating institutional positioning Liquidity Void Detection: Identifies areas with no institutional interest (low volume + narrow range) Footprint Clustering: Tracks and clusters institutional footprints to identify accumulation/distribution zones Tape Reading Metrics: Simulates Level 2 order book analysis through aggressive/passive volume classification Iceberg Order Detection: Identifies hidden institutional liquidity through repeated absorption at same price levels 9-Layer Gradient Ribbon: Visualizes order flow intensity through dynamic color-coded ribbon around institutional VWAP Institutional Dashboard: Displays 13+ real-time metrics including confidence, toxicity, absorption, POC distance, and more Each component provides unique intelligence. Toxicity shows aggressive flow, Volume Profile shows price acceptance, Absorption shows institutional positioning, Microstructure shows market maker behavior, Divergence shows smart money positioning, and Clustering shows conviction. Together, they create a comprehensive institutional detection system. Core Components Explained 1. Order Flow Toxicity Index The Toxicity Index measures the ratio of aggressive order flow (market orders taking liquidity) vs passive flow (limit orders providing liquidity). The algorithm analyzes each candle's closing position within its range to classify order flow: Aggressive Buy Flow: Candles that close in the top 25% of their range (above 75% threshold) with volume are classified as aggressive buying. This indicates buyers are urgently taking liquidity by hitting ask prices, pushing price toward the high. Aggressive Sell Flow: Candles that close in the bottom 25% of their range (below 25% threshold) with volume are classified as aggressive selling. This indicates sellers are urgently taking liquidity by hitting bid prices, pushing price toward the low. Passive Flow: Candles closing in the middle 50% of their range are classified as passive flow, indicating balanced limit order activity without urgency. The system accumulates volume-weighted flow over the lookback period (default: 20 bars) and calculates toxicity ratios. When buy toxicity exceeds threshold (default: 0.7 or 70%), it signals institutions are aggressively accumulating. When sell toxicity exceeds threshold, it signals aggressive distribution. High toxicity indicates institutional urgency - large players are willing to pay the spread and move price to establish positions quickly, typically preceding significant directional moves. 2. Volume Profile with POC Detection IFS calculates a volume profile by dividing the price range into bins (default: 20 bins) and accumulating volume at each price level over the lookback period (default: 100 bars). This creates a histogram showing which price levels attracted the most trading activity. How Volume Profile Works: The algorithm divides the price range (highest high to lowest low) into equal-sized bins. For each historical bar, it determines which bin the price falls into and adds that bar's volume to the bin's total. After processing all bars, the result is a distribution showing volume concentration across price levels. Point of Control (POC): `The price level with the highest accumulated volume`. This represents the price where the most trading occurred - a critical support/resistance level. Institutions often defend POC levels because they represent fair value where significant positions were established. Value Area High (VAH) and Value Area Low (VAL): These define the range containing approximately 70% of total volume. The Value Area represents the price range where the majority of trading activity occurred. Price outside the Value Area is considered at extremes. Trading Significance: When price approaches POC (within 2% by default), expect strong support or resistance. POC acts as a magnet - price tends to gravitate toward high-volume nodes. When price is above VAH, it's in overbought territory. When below VAL, it's in oversold territory. Inside the Value Area indicates balanced, fair-value trading. The indicator tracks POC distance in real-time and displays it in the dashboard, alerting traders when price approaches this high-probability reversal zone. 3. Absorption Coefficient Analysis The Absorption Coefficient quantifies institutional absorption by measuring volume intensity relative to price movement. This reveals when large players are accumulating or distributing positions without moving price significantly. How Absorption Works: The algorithm calculates two key ratios: Body Ratio: Measures the candle body size relative to total range. A small body ratio (close near open) indicates price didn't move much despite trading activity. Volume Ratio: Compares current volume to the 20-bar average. A high volume ratio (2x, 3x, or more) indicates elevated trading activity. Absorption Calculation: Absorption coefficient = Volume Ratio × (1 - Body Ratio) This formula produces high values when volume is elevated BUT price movement is minimal. This is the signature of institutional absorption - large players are patiently absorbing available liquidity at a specific price level without pushing price away. Directional Absorption: The system determines direction based on candle color. Bullish candles (close > open) produce positive directional absorption, indicating institutional buying. Bearish candles produce negative directional absorption, indicating institutional selling. Trading Significance: High absorption (above 0.75 by default) indicates institutions are positioning. When combined with high volume but minimal price movement, it suggests large players are absorbing all available liquidity at current levels. This often precedes significant moves once absorption is complete and institutions begin actively moving price. 4. Market Microstructure Analysis IFS analyzes market microstructure through spread dynamics and depth proxies to detect market maker behavior and order book depth without requiring Level 2 data. Spread Analysis: The algorithm calculates the candle range (high - low) as a percentage of close price, then compares it to the average spread over the lookback period (default: 20 bars). The spread z-score measures how many standard deviations current spread is from average. Tight Spreads (< 70% of average): Indicate market makers are actively providing liquidity. This is normal, healthy market conditions where bid-ask spreads are narrow and order book depth is good. Tight spreads suggest low risk and stable conditions. Wide Spreads (> 150% of average): Indicate market makers are withdrawing liquidity. This occurs during risk-off events, before major moves, or when institutions are positioning. Wide spreads signal caution - liquidity is drying up and volatility may spike. Depth Proxy: The system estimates order book depth by calculating volume relative to spread. High volume with tight spreads indicates deep order book - many limit orders providing liquidity. Low volume with wide spreads indicates shallow order book - few limit orders, high slippage risk. Market Maker Activity Detection: The indicator classifies market maker behavior as "Providing" (tight spreads, deep market), "Withdrawing" (wide spreads, shallow market), or "Neutral". Market maker withdrawal often precedes significant moves as institutions clear out liquidity before pushing price. Trading Significance: Deep markets with tight spreads are ideal for entries - low slippage, good liquidity. Shallow markets with wide spreads require caution - entries may experience significant slippage. Market maker withdrawal signals potential volatility ahead. 5. Smart Money Divergence Engine IFS detects divergences across multiple oscillators (RSI, MFI, Cumulative Volume Delta) to identify when smart money is positioning against the prevailing price trend. Divergences reveal hidden strength or weakness not visible in price action alone. Three Oscillators Analyzed: RSI (Relative Strength Index): Measures momentum on a 0-100 scale. RSI above 70 indicates overbought, below 30 indicates oversold. RSI divergence shows momentum weakening despite price movement. MFI (Money Flow Index): Similar to RSI but volume-weighted, measuring money flow pressure. MFI divergence shows money flow weakening despite price movement, indicating institutions are not participating in the move. CVD (Cumulative Volume Delta): Tracks cumulative buy vs sell volume. Positive CVD indicates net buying pressure, negative indicates net selling. CVD divergence shows order flow weakening despite price movement. Bullish Divergence Detection: Occurs when price makes lower lows BUT oscillators make higher lows. This indicates selling pressure is weakening despite lower prices - smart money is accumulating while retail panics. Requires 2+ oscillators confirming for high-probability signal. Bearish Divergence Detection: Occurs when price makes higher highs BUT oscillators make lower highs. This indicates buying pressure is weakening despite higher prices - smart money is distributing while retail chases. Requires 2+ oscillators confirming for high-probability signal. Trading Significance: Multi-oscillator divergence (2 or 3 oscillators confirming) is one of the most reliable reversal signals. It reveals that while price appears to be trending, the underlying momentum, money flow, and order flow are deteriorating. This often precedes major reversals as smart money has already positioned for the turn. 6. Liquidity Void Detection Liquidity voids are areas with minimal institutional interest, identified by the combination of low volume and narrow price range. These zones represent areas where institutions are not interested in trading, creating vacuums that price moves through quickly. How Void Detection Works: Low Volume Threshold: Volume must be below (average - 1 standard deviation) to qualify as low volume. This ensures volume is statistically low, not just slightly below average. Narrow Range Threshold: The candle range (high - low) must be less than 50% of the average range. This indicates price consolidation with minimal movement. Liquidity Void Confirmation: Both conditions must be met simultaneously - low volume AND narrow range. This combination indicates no institutional interest at current price levels. Consecutive Void Tracking: The system tracks consecutive void bars. When 3+ consecutive bars meet void criteria, it signals a significant liquidity void. These multi-bar voids are particularly important as they represent extended periods of institutional disinterest. Trading Significance: Liquidity voids should be avoided for entries. When price revisits void zones, it typically moves through them quickly with minimal support or resistance - there's no institutional interest to slow price movement. Voids often become gaps on higher timeframes or result in fast, one-directional price action. Traders should wait for price to exit void zones before entering positions. Voids can also be used as targets - if entering below a void, expect price to move quickly through the void to the next area of institutional interest above it. 7. Footprint Clustering Analysis IFS tracks institutional footprints (high-confidence absorption or toxicity events) and identifies clusters where multiple footprints occur within a short time period. Clustering indicates sustained institutional conviction rather than isolated events. How Clustering Works: Footprint Tracking: Every time the indicator detects institutional activity (absorption + toxicity + high confidence), it records a "footprint" with the bar index and type (buy or sell). The system maintains a rolling history of the last 50 footprints. Cluster Detection: The algorithm counts how many footprints occurred within the cluster distance (default: 15 bars) of the current bar. If 3+ footprints are found within this window, a cluster is detected. Dominant Type Classification: The system analyzes the types of footprints in the cluster. If more buy footprints than sell footprints, it's classified as a "Bullish Cluster" (accumulation zone). If more sell footprints, it's a "Bearish Cluster" (distribution zone). Trading Significance: Footprint clusters reveal areas where institutions repeatedly positioned over multiple bars. This indicates conviction - not a single large order, but sustained accumulation or distribution. Bullish clusters (3+ buy footprints within 15 bars) suggest institutions are building long positions in this price zone. These areas often become strong support levels. Bearish clusters (3+ sell footprints within 15 bars) suggest institutions are building short positions or distributing longs. These areas often become strong resistance levels. Clusters with 5+ footprints indicate extreme institutional conviction and are the highest-probability support/resistance zones. 8. Tape Reading Metrics IFS simulates Level 2 order book tape reading by analyzing candle position within its range combined with volume intensity. This reveals whether orders are aggressive (taking liquidity) or passive (providing liquidity) without requiring actual order book data. How Tape Reading Works: Candle Position Calculation: Measures where the close is within the candle's range. Position = (close - low) / (high - low). A value of 1.0 means close at high, 0.0 means close at low, 0.5 means close at midpoint. Aggressive Buy Detection: Occurs when candle closes in top 20% of range (position > 0.8) AND close > open AND volume exceeds 20-bar average. This indicates buyers aggressively hit ask prices, pushing price to the high. Institutions are urgently taking liquidity on the buy side. Aggressive Sell Detection: Occurs when candle closes in bottom 20% of range (position < 0.2) AND close < open AND volume exceeds 20-bar average. This indicates sellers aggressively hit bid prices, pushing price to the low. Institutions are urgently taking liquidity on the sell side. Passive Absorption Detection: Occurs when candle closes in middle 20% of range (position 0.4-0.6) AND volume exceeds 1.5x the 20-bar average. This indicates high volume but price didn't move much - institutions are patiently absorbing liquidity at current levels without pushing price away. Trading Significance: Aggressive buying/selling indicates institutional urgency - large players are willing to pay the spread and move price to establish positions quickly. This often precedes continued directional movement. Passive absorption indicates institutional patience - large players are absorbing all available liquidity at a specific price level. This often occurs at support/resistance where institutions defend levels. Once absorption is complete, price typically reverses or breaks through. 9. Iceberg Order Detection Iceberg orders are large hidden institutional orders that absorb liquidity repeatedly at the same price level. The name comes from the iceberg analogy - only a small portion is visible in the order book, while the bulk remains hidden. IFS detects icebergs by identifying repeated passive absorption at the same price. How Iceberg Detection Works: Passive Absorption Tracking: The system monitors for passive absorption events (high volume, mid-range close). Each time passive absorption occurs, it records the price level. Price Proximity Check: When a new passive absorption event occurs, the algorithm checks if it's at the same price as the previous event. "Same price" is defined as within 0.2% (20 basis points) to account for minor price fluctuations. Hit Counter: If absorption occurs at the same price level, the hit counter increments. If absorption occurs at a different price (more than 0.2% away), the counter resets and tracking begins at the new price. Iceberg Confirmation: When 3+ passive absorption events occur at the same price level, an iceberg order is detected. This indicates a large hidden order is repeatedly absorbing all available liquidity at this specific price. Trading Significance: Iceberg orders represent major institutional interest at a specific price level. They act as strong support (buy icebergs) or resistance (sell icebergs). Buy icebergs indicate institutions are defending a price level - every time price drops to this level, the iceberg absorbs all selling pressure. This creates a floor that's difficult to break. Sell icebergs indicate institutions are capping price - every time price rises to this level, the iceberg absorbs all buying pressure. This creates a ceiling that's difficult to break. Iceberg detection provides high-probability entry zones (buy near buy icebergs) and exit zones (sell near sell icebergs). When icebergs are finally consumed (price breaks through), it often results in explosive moves as the major support/resistance is removed. 10. Confidence Score System IFS calculates a multi-factor confidence score to quantify signal quality: float confidence = 0.0 confidence += strong_absorption ? 25.0 : 0.0 confidence += (toxic_buy_flow or toxic_sell_flow) ? 20.0 : 0.0 confidence += deep_market ? 15.0 : 0.0 confidence += (bull_div or bear_div) ? 20.0 : 0.0 confidence += in_cluster ? 10.0 : 0.0 confidence += near_poc ? 10.0 : 0.0 bool high_confidence = confidence >= min_confidence // Default 75% Confidence score combines all detection methods. Scores above 75% indicate high-probability institutional activity. Scores above 90% indicate extreme conviction. 11. 9-Layer Gradient Ribbon Visualization The gradient ribbon visualizes order flow intensity through 9 transparent layers between institutional VWAP and a wave level: float vwap_inst = ta.vwap(hlc3) float flow_intensity = math.min(confidence / 100, 1.0) float toxicity_intensity = math.abs(toxicity_imbalance) float combined_intensity = (flow_intensity + toxicity_intensity) / 2.0 float wave_ratio = math.min(0.65, combined_intensity) float wave_level = vwap_inst + ((close - vwap_inst) * wave_ratio) // 9 layers with progressive transparency float ribbon_step = (wave_level - vwap_inst) / 9.0 Ribbon color indicates direction (gold for institutional buy, indigo for institutional sell). Ribbon intensity increases with confidence and toxicity. The VWAP line itself changes color dynamically based on institutional activity. Visual Elements Institutional VWAP Line: Dynamic color (gold for inst buy, indigo for inst sell, matrix green for toxic buy, hot pink for toxic sell) 9-Layer Gradient Ribbon: Progressive transparency showing order flow intensity around VWAP Toxicity Heatmap: Background gradient (hot pink to orange) showing toxicity intensity Absorption Wave Zones: Dynamic boxes showing absorption strength (gold for buy, indigo for sell) Cluster Intensity Zones: Background coloring (matrix green for bullish, hot pink for bearish) with intensity based on cluster size Liquidity Void Highlighting: Dark zones indicating areas with no institutional interest Toxicity Flow Lines: Dynamic gradient lines showing flow direction and intensity Absorption Flow Lines: Gradient lines showing absorption strength and direction Microstructure Spread Bands: Circles showing market depth (blue for deep, orange for shallow) Institutional Footprint Markers: "INST" labels at high-confidence footprints with detailed tooltips Toxicity Level Labels: "TOXIC BUY/SELL" labels at extreme toxicity events Absorption Strength Labels: "ABS" labels showing absorption coefficient Cluster Formation Labels: "CLUSTER" labels marking significant footprint clusters POC Proximity Labels: "POC" labels when price approaches Point of Control Liquidity Void Labels: "VOID" labels marking significant voids Iceberg Order Markers: "◆ ICE" diamond markers at iceberg detection Market Maker Activity Labels: "MM OUT" labels when market makers withdraw liquidity Bar Coloring: Gradient bar colors based on institutional activity intensity Dashboard: Real-time institutional metrics in top-right corner (13+ metrics) Input Parameters Order Flow Analysis: Toxicity Lookback: Period for toxicity calculation (default: 20, range: 10-50) Toxicity Threshold: Threshold for toxic flow detection (default: 0.7, range: 0.5-0.9) Volume Profile: Volume Profile Bins: Number of price bins for volume distribution (default: 20, range: 10-50) VP Lookback Period: Bars to analyze for volume profile (default: 100, range: 50-200) POC Sensitivity: Distance threshold for POC proximity (default: 0.02, range: 0.01-0.05) Market Microstructure: Spread Analysis Period: Lookback for spread analysis (default: 20, range: 10-50) Depth Threshold: Multiplier for deep market detection (default: 1.5, range: 1.0-3.0) Footprint Detection: Min Absorption Coefficient: Minimum absorption for detection (default: 0.75, range: 0.5-1.0) Cluster Distance: Bars to consider for clustering (default: 15, range: 5-30) Minimum Confidence %: Minimum confidence for signals (default: 75%, range: 60-95%) Visualization: Show Order Flow Ribbon: Toggle 9-layer gradient ribbon display Show POC Levels: Toggle Point of Control level display Show Footprint Markers: Toggle institutional footprint labels and markers How to Use This Indicator Step 1: Monitor Dashboard Confidence Watch the dashboard confidence score in the top-right corner. Scores above 75% indicate high-probability institutional activity. Scores above 90% indicate extreme conviction. Step 2: Identify Institutional Footprints Look for "INST" labels (gold for buy, indigo for sell) marking high-confidence institutional footprints. Hover over labels to see detailed metrics including confidence, absorption coefficient, and toxicity. Step 3: Check Order Flow Toxicity Monitor the Toxicity row in the dashboard. "BUY" with high value indicates aggressive institutional buying. "SELL" with high value indicates aggressive institutional selling. Toxicity above 0.7 is significant. Step 4: Analyze Absorption Coefficient Check the Absorption row in the dashboard. Values above 0.75 indicate strong institutional absorption. Look for "ABS" labels on the chart showing absorption events. High absorption with minimal price movement indicates institutions are positioning. Step 5: Use Volume Profile Context Monitor POC Distance in the dashboard. When price approaches POC (distance <2%), expect strong support/resistance. Check Value Area position - price outside value area is at extremes. Look for "POC" labels when price approaches Point of Control. Step 6: Watch for Footprint Clusters Look for "CLUSTER" labels indicating 3+ footprints within cluster distance. Bullish clusters suggest institutional accumulation. Bearish clusters suggest institutional distribution. Cluster zones are highlighted with background coloring. Step 7: Monitor Market Microstructure Check the Spread and Depth rows in the dashboard. Deep markets with tight spreads indicate healthy liquidity. Shallow markets with wide spreads indicate market maker withdrawal. "MM OUT" labels warn of liquidity withdrawal. Step 8: Identify Iceberg Orders Watch for "◆ ICE" diamond markers indicating iceberg order detection. These mark hidden institutional liquidity providing strong support/resistance. Iceberg orders indicate institutions are patiently absorbing at specific price levels. Step 9: Use Gradient Ribbon for Flow Intensity The 9-layer gradient ribbon shows order flow intensity. Brighter, more opaque ribbon indicates stronger institutional activity. Gold/green ribbon indicates bullish flow. Indigo/pink ribbon indicates bearish flow. Step 10: Avoid Liquidity Voids Watch for "VOID" labels and dark background zones indicating liquidity voids. These areas have minimal institutional interest and often result in fast price movement or gaps. Avoid entering positions in void zones. Step 11: Confirm with Smart Money Divergence Check dashboard for divergence signals. Multi-oscillator divergence (2+ oscillators) indicates smart money positioning against the trend. Bullish divergence at lows suggests institutional accumulation. Bearish divergence at highs suggests institutional distribution. Step 12: Use Tape Reading Metrics Monitor the Tape row in the dashboard. "Agg Buy" indicates aggressive institutional buying. "Agg Sell" indicates aggressive institutional selling. "Passive" indicates patient absorption at current price levels. Best Practices Use on liquid instruments (major forex pairs, large-cap stocks, major crypto) for reliable signals Institutional footprints work best at price extremes (near POC, outside value area, at support/resistance) Combine with higher timeframe trend analysis - institutional activity against trend is lower probability High confidence signals (>90%) have highest win rate but occur less frequently Footprint clusters indicate institutional conviction - wait for 3+ footprints before acting Iceberg orders provide strong support/resistance - use as entry/exit zones Market maker withdrawal (wide spreads) often precedes significant moves - be cautious Liquidity voids should be avoided for entries - price moves quickly through these zones Toxic flow above 0.8 indicates extreme institutional urgency - strong directional signal Absorption coefficient above 0.85 indicates very strong institutional positioning POC proximity (<2% distance) provides high-probability reversal zones Smart money divergence requires 2+ oscillator confirmation for reliability Use gradient ribbon intensity to gauge institutional conviction - brighter = stronger Dashboard metrics provide context - monitor multiple metrics simultaneously for best results Combine absorption with toxicity for highest conviction signals Indicator Limitations Requires sufficient volume data - may not work well on illiquid instruments or off-market hours Volume Profile calculation is computationally intensive - optimized to recalculate every 10 bars Toxicity Index is a proxy for order flow - not actual Level 2 order book data Absorption Coefficient assumes volume intensity indicates institutional activity - can produce false signals during news events Market microstructure analysis (spread/depth) is estimated from OHLCV data - not actual order book depth Iceberg detection requires repeated absorption at same price - may miss single large orders Footprint clustering requires sufficient historical data - may not work well on new instruments Smart money divergence adds lag - early signals may not have divergence confirmation yet Confidence score is multi-factor - high confidence doesn't guarantee immediate price movement Gradient ribbon visualization requires sufficient price movement to display properly Dashboard metrics are real-time snapshots and can change rapidly during volatile periods POC and Value Area calculations require sufficient lookback data - may be less reliable on very low timeframes Liquidity void detection may produce false signals during consolidation periods Tape reading metrics simulate order book behavior - not actual tape data Technical Implementation Built with Pine Script v6 using: Order Flow Toxicity Index with aggressive vs passive flow classification Optimized Volume Profile calculation with POC, VAH, VAL detection (recalculates every 10 bars for performance) Absorption Coefficient algorithm combining volume intensity and price movement Market Microstructure analysis with spread z-score and depth proxy calculations Smart Money Divergence Engine using RSI, MFI, and Cumulative Volume Delta Liquidity Void Detection with consecutive void bar tracking Footprint Clustering system with dominant type classification Tape Reading Metrics simulating Level 2 order book behavior Iceberg Order Detection through repeated absorption pattern recognition Multi-factor Confidence Score system (6 components, 0-100% scale) 9-layer gradient ribbon with progressive transparency and dynamic coloring Institutional VWAP with dynamic color based on activity type Comprehensive visualization system with 15+ chart overlay types Real-time dashboard with 13+ institutional metrics 13 alert conditions for institutional events Dynamic bar coloring based on institutional activity intensity The code is fully open-source and can be modified to suit individual trading styles. Originality Statement This indicator is original in its comprehensive institutional order flow detection approach. While volume analysis and VWAP are established concepts, this indicator is justified because: It combines 9 distinct institutional detection methods (Toxicity, Volume Profile, Absorption, Microstructure, Divergence, Void Detection, Clustering, Tape Reading, Iceberg Detection) into a unified system The Order Flow Toxicity Index quantifies aggressive vs passive flow through candle position and volume weighting - a unique approach not found in standard volume indicators Absorption Coefficient algorithm specifically quantifies institutional absorption by measuring volume intensity relative to price movement Market Microstructure analysis estimates spread and depth from OHLCV data without requiring Level 2 order book access Iceberg Order Detection identifies hidden institutional liquidity through repeated absorption pattern recognition Footprint Clustering system tracks and classifies institutional footprints to identify accumulation/distribution zones Multi-factor Confidence Score synthesizes 6 independent detection methods into a single 0-100% quality metric 9-layer gradient ribbon provides intuitive visualization of order flow intensity with dynamic coloring based on activity type Comprehensive dashboard synthesizes 13+ metrics (Confidence, Toxicity, Absorption, POC Distance, Value Area, Spread, Depth, MM Activity, Imbalance, Cluster, Liquidity, Tape, Iceberg) into actionable intelligence Integration of Volume Profile POC with absorption and toxicity creates unique confluence zones Tape Reading Metrics simulate Level 2 order book behavior using only OHLCV data Smart Money Divergence Engine combines RSI, MFI, and CVD for multi-oscillator confirmation Each component contributes unique information: Toxicity shows aggressive flow, Volume Profile shows price acceptance, Absorption shows institutional positioning, Microstructure shows market maker behavior, Divergence shows smart money positioning, Void Detection shows areas to avoid, Clustering shows conviction, Tape Reading shows order urgency, and Iceberg Detection shows hidden liquidity. The indicator's value lies in presenting these complementary perspectives simultaneously with a unified confidence scoring system and intuitive visualization. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Past performance does not guarantee future results. Always use proper risk management and never risk more than you can afford to lose. -Made with passion by officialjackofalltrades
Pine Script® indicator
by officialjackofalltrades
Institutional Order Flow Shield [MarkitTick]💡 The Institutional Order Flow Shield is an advanced, overlay-based technical indicator designed to peer inside the standard price chart and extract granular order flow dynamics. By utilizing lower timeframe (LTF) intrabar data, this tool reconstructs buying and selling pressure, helping traders identify hidden accumulation, distribution, and manipulative market practices such as order spoofing and iceberg execution. It acts as a comprehensive shield, filtering market noise through volatility and trend alignment to deliver high-probability signals. ✨ Originality and Utility Standard volume indicators often fail to distinguish between aggressive buying and aggressive selling within a single candle. This script solves that problem by drilling down into intrabar price action to approximate order flow delta. ● Key Differentiators Intrabar Reconstruction: Rebuilds volume delta without requiring expensive tick data or footprint charts. Manipulation Detection: Specifically engineered to detect "Spoofing" (pulling large limit orders to fake price direction) and "Icebergs" (large hidden orders executing in smaller clips). Adaptive Decision Matrix: Does not just fire raw signals; it weights them using a confidence scoring system based on VWAP, EMA trends, and Relative Volume (RVOL). 🔬 Methodology and Concepts The core engine of this indicator relies on several interconnected mathematical and logical frameworks to process market data. ● Order Flow Approximation The script requests lower timeframe data (defaulting to 1-minute candles) and calculates where the close occurs relative to the high-low range of that LTF candle. It allocates volume to the "Buy" side or "Sell" side proportionally. Wick rejections are also factored in to adjust the final volume delta, reducing the impact of passive limit orders getting filled at extreme highs or lows. ● Spoof and Iceberg Logic Spoof Detection: Triggered when a massive volume spike is followed immediately by a sharp volume drop and a price reversal, indicating that the liquidity was pulled (faked) rather than executed. Iceberg Detection: Identified when volume surges past a smart threshold (based on a multiplier of the volume SMA) while price stalls, indicating a massive hidden limit order absorbing market aggression. 🎨 Visual Guide The indicator provides a rich, non-intrusive visual experience on the main chart, utilizing color-coded bars, labels, and a comprehensive dashboard. ● Chart Elements Bar Colors: Candles are painted bright green for confirmed bullish signals (confidence > 50%) and bright red for confirmed bearish signals. ACM / DST Labels: Green "ACM" labels indicate accumulation (bullish order flow), while Red "DST" labels indicate distribution. Hovering over these labels reveals a tooltip with confidence score, VWAP alignment, and volume impact. BPL / APL Labels: Orange labels denoting Bid Pulls and Ask Pulls (Spoofing events). BWL / AWL Labels: Cyan labels highlighting Bid Walls and Ask Walls (Iceberg events). WBD / WAK Labels: Faded cyan labels indicating massive Whale Bid or Ask entries based purely on relative volume spikes. ● The Sniper Dashboard Located by default in the top right corner, this table provides a real-time summary. Net Whale Flow: The cumulative delta of massive order events. Decision Matrix: Displays the current overall bias (e.g., "STRONG BUY" or "WAIT/NEUTRAL"). Signal Confidence: A percentage score grading the strength of the current setup. Filters: Real-time status of RVOL, VWAP Position, EMA Trend, and ATR Gates. Event Counters: Tracks the total number of spoofing and iceberg anomalies detected during the session. 📖 How to Use This indicator is best used as a confluence tool for day trading and scalping. ● Trade Execution Guidelines Identify the Trend: Check the dashboard to ensure the EMA 50/200 trend aligns with your directional bias. Wait for Manipulation: Look for Spoof (BPL/APL) or Iceberg (BWL/AWL) labels. A Bid Pull (Spoof) often precedes a move lower, while a Bid Wall (Iceberg) can act as solid support. Confirm with Accumulation/Distribution: Enter a long trade when a green "ACM" label appears, confirming that aggressive buyers have stepped in. Ensure the dashboard's "Signal Conf." is high (above 60-70%). Risk Management: Place stop losses behind identified Iceberg walls. If an Ask Wall (AWL) is broken by price, it often triggers a short squeeze, offering breakout opportunities. ⚙️ Inputs and Settings The script offers deep customization through its settings menu, divided into functional groups. ● Order Flow Engine Intrabar Timeframe (LTF): Determines the granularity of the internal volume calculation. Flow Batch Length (bars): The rolling window used to sum up recent volume delta. Flow Sensitivity Ratio: Adjusts how much larger the average buy size must be compared to the sell size to trigger an accumulation signal. ● Spoof & Iceberg Detection Min Spoof Volume Diff: The minimum volume drop required to flag a pulled order. Spoof Pull Threshold (%): The percentage drop required compared to the previous bar. Iceberg Avg Multiplier: How many times larger than the average volume a bar must be to trigger an iceberg alert. ● Smart Filters RVOL Filter: Requires the current bar's volume to be above a specific relative threshold, keeping you out of low-liquidity chop. ATR Volatility Gate: Suppresses signals on extremely tight, flat candles based on a minimum ATR percentage. VWAP / Trend Filters: Toggles the alignment checks that feed into the confidence scoring. 🔍 Deconstruction of the Underlying Scientific and Academic Framework The foundation of this indicator rests heavily on Market Microstructure Theory and Order Book Dynamics. ● Volume Delta Estimation Models Because trading platforms often do not natively supply bid/ask tick data for all assets, the script utilizes an intrabar price-proportion heuristic. This aligns with academic models like the Lee-Ready algorithm, which infers trade direction based on price movement relative to previous prints. By applying this to LTF data and rolling it up, the script effectively calculates a weighted approximation of order flow toxicity (the imbalance of aggressive market orders). ● Liquidity Illusion and Spoofing Spoofing is a recognized manipulative practice where liquidity is posted to the limit order book to create a false impression of supply or demand, only to be cancelled before execution. The script attempts to quantify this mathematically by monitoring sudden, severe variance in Relative Volume (RVOL) coupled with strict directional price reversals. When volume drops below the pullback threshold immediately following an injection phase, the algorithm flags the structural anomaly. ● Bayesian-Inspired Confidence Matrix The Decision Matrix behaves similarly to a naive Bayesian classifier. It starts with a base event (e.g., an accumulation phase) and updates the probability (Confidence Score) of a successful follow-through by checking independent market state variables: Mean Reversion metrics (VWAP), Volatility (ATR), and Momentum (EMA crossover). This multidimensional filtering ensures that order flow anomalies are only traded when the broader statistical environment is favorable. ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Pine Script® indicator
by MarkitTick
Institutional Session Volume ProfileOverview The Institutional Session Volume Profile helps traders filter out market noise by separating intra-session volume into two visual categories: Committed and Apathy. This makes it easy to spot where real volume is stepping in versus where price is just chopping around. How to Read the Profile Committed Volume (Dark Grey): Indicates heavy, decisive volume. These areas act as strong support or resistance walls. Apathy Volume (Light Grey): Indicates choppy, light volume with no real direction. Price tends to move very quickly through these empty zones. Core Features Dynamic POC Tracking: Pinpoints the exact price level with the highest volume in the session. 4 Custom Sessions: Easily set up your exact trading hours for different global markets. Smoothed Graphics: A clean, easy-to-read "mountain" visual. Tip: Right-click the indicator name -> Visual Order -> Send to Back to tuck profiles cleanly behind your candles.
Pine Script® indicator
by archiedurrant
Market Session AVWAPAuto-resetting Anchored VWAP for Asia, Europe, and US sessions + US Previous Day. Zero setup, works out of the box. █ WHAT IT DOES Four Anchored VWAPs that auto-reset daily at each session open: 🟠 ASIA — 00:00 UTC (Globex rollover / Tokyo) 🔵EUROPE — 08:00 UTC (European cash open) 🟢 USA — 15:30 UTC (US cash open / 9:30 ET) 🟢 USA PD — Previous day US session (anchored from yesterday's 15:30) Each session AVWAP only appears when its session has started today. No stale data from yesterday bleeding into the morning. █ USA PREVIOUS DAY — WHY IT MATTERS The USA PD line is not a static level — it's a live AVWAP anchored from yesterday's 15:30 that keeps digesting volume. It shows where yesterday's US institutional flow is still pulling price. When today's USA AVWAP crosses the previous day's, you're looking at an intraday regime change. █ HOW TO READ IT - Price holding above a session AVWAP → that session's participants are in control - Session AVWAPs stacking (Asia < EU < USA) → trend alignment across sessions - Compression between session AVWAPs → coiling, expansion coming - USA crossing USA PD → regime shift, the new session is taking over from yesterday's flow - Confluence of session AVWAP with key structural levels → high-probability reaction zone █ WORKS BEST WITH Recommended in combination with GEX indicators to identify significant intra/inter-session confluences. When a session AVWAP aligns with a GEX wall, that's where structure meets flow — and that's where the real trades happen. █ SETTINGS Session times are fully configurable (UTC). Default values match standard market hours. All four lines can be toggled independently. Price source selectable (HLC3 default). Alerts included: • Price crosses USA AVWAP • Price crosses USA Previous Day AVWAP • USA crosses USA PD (regime change signal) █ NO SETUP REQUIRED Just add to chart. Sessions auto-detect, auto-reset at midnight. No dates to change, no anchors to drag. It just works.
Pine Script® indicator
by TLADe_TradeLikeaDealer