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Supply_and_demand

SMC Structure MapSMC Structure Map — HL, Reversals & PO3 SMC Structure Map is a market structure indicator designed to help traders analyze strong Supply/Demand zones, multi-timeframe High/Low levels, structural reversal levels and PO3 accumulation/manipulation/distribution context. This version does not use moving averages, oscillators or external libraries. The purpose of the script is to provide a clean structure-based framework instead of relying on a single trend-following line. Main components: 1. Supply and Demand zones 2. Volume-based zone strength classification 3. Multi-timeframe High/Low levels 4. Structural reversal levels 5. PO3 accumulation/manipulation/distribution context 6. Range and breakout context 7. Alerts for important structural events The script is designed to help traders understand: - Where price has reacted from Supply or Demand - Where important multi-timeframe highs and lows are located - Where structural support and resistance levels were formed - When price is trapped inside a range - When price breaks a range or structural level - How PO3 context may help identify accumulation, manipulation and distribution phases Originality: This script is not a simple collection of signals. Its main contribution is the way it organizes several structure-based components into a clean market map. Instead of depending on moving averages, it focuses on price structure, Supply/Demand zones, High/Low levels, structural reversals and PO3 context. Suggested workflow: 1. Identify the higher-timeframe structure. 2. Mark the most important Supply and Demand zones. 3. Use High/Low levels to understand where price is trapped or where liquidity may exist. 4. Use structural reversal levels as support and resistance context. 5. Avoid trading in the middle of a range. 6. Wait for price to react, break, retest or reject an important level. 7. Use PO3 context to understand possible accumulation, manipulation and distribution phases. 8. Confirm every trade idea with price action and proper risk management. This indicator is for educational and analytical purposes only. It does not provide financial advice and does not guarantee profitable results. Español: SMC Structure Map es un indicador de estructura de mercado diseñado para ayudar a analizar zonas Supply/Demand, niveles High/Low multi-temporales, giros estructurales y contexto PO3 de acumulación, manipulación y distribución. Esta versión no usa medias móviles, osciladores ni librerías externas. El objetivo es ofrecer una lectura limpia basada en estructura, sin depender de una línea de tendencia. Componentes principales: 1. Zonas Supply and Demand 2. Clasificación de fuerza por volumen 3. High/Low MTF 4. Giros estructurales 5. PO3 acumulación, manipulación y distribución 6. Contexto de rango y ruptura 7. Alertas para eventos estructurales importantes Uso sugerido: 1. Identificar la estructura mayor. 2. Marcar zonas Supply/Demand importantes. 3. Usar High/Low para ver rangos, techos, pisos y liquidez. 4. Usar giros estructurales como soportes y resistencias con historia. 5. Evitar operar en medio del rango. 6. Esperar reacción, ruptura, retest o rechazo. 7. Usar PO3 para entender acumulación, manipulación y distribución. 8. Confirmar toda idea con acción del precio y gestión de riesgo. Este indicador es una herramienta educativa y de análisis. No es asesoría financiera y no garantiza resultados. Initial release of SMC Structure Map. This version includes: - Supply and Demand zones - Volume-based zone strength classification - Multi-timeframe High/Low levels - Structural reversal levels - PO3 accumulation/manipulation/distribution context - Range and breakout structure - Cleaner chart focused on price structure - No moving averages - No external libraries
אינדיקטור Pine Script®
מאת ‎moralestrejoluisantonio‎
Aegis Liquidity Ledger [JOAT]Aegis Liquidity Ledger Introduction Aegis Liquidity Ledger is an open-source liquidity pressure indicator built to answer a specific execution question: Where is directional pressure being sourced, and where has that pressure already left behind a meaningful area of interest? The script approaches that problem through two linked components: a volatility-normalized pressure oscillator shelf detection and origin-zone mapping The oscillator explains whether participation is pushing in a bullish or bearish direction. The shelf and origin logic explains where that pressure emerged from. This separation is intentional. It gives traders both the why and the where without forcing everything into a single overlay object. Core Concepts 1. Composite Pressure Engine The script blends multiple rate-of-change windows into one composite pressure signal. Short-term impulse and slower campaign participation are both included so the output does not depend on a single lookback length. 2. Volatility-Normalized Thresholds The pressure signal is measured against its own recent standard deviation rather than a fixed threshold. This allows the expansion bands to adapt to the instrument and timeframe being viewed. 3. Shelf Detection The script scans for repeated upper and lower interactions using body extremes and wick touches. That makes the shelf logic more sensitive to areas where liquidity may have repeatedly rested. 4. Expansion Origin Zones When pressure transitions through an adaptive bound on a confirmed bar, the script creates a source zone around the origin candle that preceded the release. This zone remains relevant until price fully accepts through it. 5. Mitigation Logic Shelves are not removed immediately. They remain live until price fully accepts through the opposite side of the zone, after which they are visually de-emphasized as mitigated. Features Four-window pressure model: fast, medium, slow, and macro ROC blended together Pressure smoothing: EMA smoothing controls oscillator responsiveness Adaptive expansion thresholds: thresholds scale with recent pressure volatility Normalized oscillator: pane output compresses pressure into an interpretable range Demand and supply shelves: persistent shelf zones are drawn directly on the chart Origin-zone logic: shelf creation is tied to confirmed expansion events Touch and intensity tracking: shelf labels summarize interaction count and density Mitigation state: zones are visually softened after full acceptance through them Pressure-based candle coloring: optional chart bars reflect dominant liquidity pressure Institutional dashboard: dashboard summarizes pressure, compression, shelf dominance, and state Input Parameters Pressure Engine Fast ROC Medium ROC Slow ROC Macro ROC Pressure Smoothing Expansion Threshold Multiplier Liquidity Shelves Shelf Window Shelf Width ATR Max Live Shelves Per Side Show Expansion Origin Zones Show Shelf Labels Display Show Pressure Fill Show Expansion Glow Show Zero Line Color Candles By Pressure Dashboard Position Dashboard Size How to Use This Indicator Step 1: Read Pressure Before Reading Shelves Start in the pane. If the pressure engine is neutral or compressed, shelf interactions are more likely to behave as reaction zones than true continuation sources. Step 2: Watch for Confirmed Expansion New shelves matter most when they are created by a confirmed expansion through the adaptive threshold. That is the moment the script treats the move as meaningful enough to register an origin. Step 3: Distinguish Live From Mitigated Zones Fresh shelves are stronger contextual references than mitigated shelves. Once a zone has been fully accepted through, it should be treated as reduced context rather than untouched inventory. Step 4: Compare Upper and Lower Density The interaction counts and intensity values help frame whether the instrument has built more meaningful supply or demand shelves in the current environment. Step 5: Combine With Structure Aegis Liquidity Ledger is not a standalone regime classifier. It works best beside structure or session tools that explain the broader context around the pressure source. Indicator Limitations Liquidity shelves are inferred from price behavior, not from direct order book or market-by-order data Aggressive settings can create more shelves than slower traders may want to track Pressure normalization adapts to the instrument, but abrupt volatility shocks can still distort thresholds temporarily A shelf is an area of contextual interest, not a guarantee of reversal or continuation Originality Statement Aegis Liquidity Ledger is structured around the relationship between a normalized pressure oscillator and persistent source-zone shelves. Its design emphasizes where pressure comes from, how dense liquidity has been on each side of price, and whether a prior source has been mitigated, rather than simply plotting another momentum line. Disclaimer This indicator is provided for educational and informational purposes only. It is not a recommendation to trade and should not be interpreted as financial advice. All shelf and pressure readings are model-based interpretations of chart data and can fail under changing market conditions. Always use independent analysis and risk management.
אינדיקטור Pine Script®
מאת ‎officialjackofalltrades‎
Bastion Ledger [JOAT]Bastion Ledger Introduction Bastion Ledger is an open-source liquidity and structure overlay designed to track active demand and supply zones through a full lifecycle model. The script builds zones from confirmed pivots and volume impulse events, then tracks how price interacts with those zones over time through active, swept, broken, retested, and archived states. The problem Bastion Ledger solves is zone ambiguity. Many support and resistance tools simply draw a level and leave interpretation to the user. Bastion Ledger adds structure to that process by classifying how each zone was created and what has happened to it since. This makes the chart easier to read and gives the user a cleaner framework for identifying whether liquidity has held, been swept, failed, or transitioned into a retest state. Core Concepts 1. Confirmed Pivot Structure Zones created from pivots only appear after pivot confirmation. This introduces natural delay by design, but it prevents the script from creating forward-looking structure that disappears later. 2. Volume-Impulse Zone Creation The script can also create zones from candles that exhibit high relative volume and efficient directional body behavior. This allows the overlay to capture not only swing structure but also displacement-origin areas. 3. Zone Lifecycle Model Each zone progresses through a clear state model: ACTIVE SWEEPED BROKEN RETESTED ARCHIVED This is one of the defining features of the script. Instead of leaving historical rectangles behind with no context, the overlay tracks what has happened to each one. 4. Midpoint and Structure Rails Every zone can include a midpoint reference and supporting structure rails to make reaction areas easier to inspect. This helps distinguish edge reactions from deeper zone acceptance. 5. Dashboard Context The top-right dashboard summarizes active counts, nearest demand and supply distance, event state, and structure bias so the user can quickly orient themselves. Features Dual-source zone creation: Confirmed pivots and volume impulse zones Stateful zone lifecycle: Tracks sweeps, breaks, retests, and archival ATR-aware zone sizing: Zone height adapts to market conditions Object-efficient rendering: Uses persistent objects with setter updates Midpoint lines: Helps judge reaction depth inside each zone Structure bias readout: Gives a quick demand-versus-supply view Nearest-zone distance readout: Useful for contextual planning Top-right dashboard: Medium-size summary panel Confirmed-bar event logic: Creation and transitions are handled safely Alertconditions: Zone create, sweep, break, retest, and structure breaks How to Use This Indicator Step 1: Identify the Nearest Active Zone Use the plotted boxes and dashboard distance readouts to locate the nearest demand and supply area. Step 2: Read the Zone State An active zone is different from a swept or broken zone. The lifecycle state tells you whether the zone is still intact or has already lost integrity. Step 3: Watch Retests After Breaks Retested zones can be especially useful because they represent a transition from defended liquidity to broken structure and then a recheck of that failure. Step 4: Combine with Regime Context Bastion Ledger works best when combined with a separate trend or regime filter. Use it to map where reactions matter, not to replace directional context. Indicator Limitations Pivot-based zones confirm after the pivot completes, which is intentional non-repainting behavior Very fast markets can move through multiple zone states in a short number of bars Zone relevance declines over time, so older archived zones should not be treated like fresh liquidity This script tracks structural interaction, not order flow or real exchange-level liquidity Originality Statement Bastion Ledger is original in its combination of pivot structure, volume-impulse zone creation, and lifecycle classification. The script is not just a rectangle drawer. Its core value lies in tracking how a zone evolves after creation and presenting that evolution in a consistent institutional overlay. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Liquidity zones are interpretive tools based on historical price and volume behavior and do not guarantee future reactions. - Made with passion by jackofalltrades
אינדיקטור Pine Script®
מאת ‎officialjackofalltrades‎
Svopex S&D ScanSvopex S&D Scan Multi-symbol Supply & Demand zone scanner that displays the status of up to 40 instruments in a single table. Built on the same detection logic as Svopex Supply & Demand Zones (base + explosive ATR candle pattern), but extended to portfolio-wide screening with on-chart zone drawing for the active symbol. What it does For each of up to 40 user-defined symbols (default: NAS100, XAU, EURUSD, US30, SPX500, WTICO, XAG, BTC + 27 main and cross OANDA currency pairs), the scanner detects supply and demand zones in real time and shows in the result table where price currently sits relative to those zones. Detected statuses (priority order: IN > NEAR > WAS_IN > none): - IN SUPPLY / IN DEMAND — price is currently inside an active zone - NEAR SUPPLY / NEAR DEMAND — price is within nearMult × ATR of the zone edge - WAS IN SUPPLY / WAS IN DEMAND — price was inside a zone within the last N closed bars but is no longer in/near it (zone has been broken). Useful as a follow-up signal after price entered a zone and the zone was invalidated - (blank) — no relevant state The table can be filtered to show only hits, and rows update as the chart timeframe changes — the scanner always operates on the chart's current TF. Zone detection logic (identical to Svopex Supply & Demand Zones): - 1 to N "base" candles with body ≤ baseBodyPct × ATR - Followed by an explosive candle with body ≥ explMult × ATR - The high/low of the base candles defines the zone boundaries - The zone is invalidated when price breaks through it according to breakPct threshold (with optional wick or body-only mode) On-chart zone drawing For the current chart symbol, the scanner also draws supply (red) and demand (green) boxes the same way as Svopex S&D Zones — so you can use it as a single-symbol indicator and as a multi-symbol scanner in one. Switching the chart to any other symbol redraws the boxes for that symbol. --- Parameters Symbols (1–40) - Each slot accepts a BROKER:TICKER format (e.g. OANDA:EURUSD, BINANCE:BTCUSD). Empty slots are skipped (mapped to chart symbol internally and deduplicated by Pine). Zone detection - Max base candles (default 3, range 1–6) — maximum number of base candles that can precede the explosive move. - Base body ≤ ATR × (default 0.5) — the body of base candles must be at most this multiple of ATR. - Explosive body ≥ ATR × (default 1.5) — the body of the explosive candle must be at least this multiple of ATR. - ATR length (default 14) — period for ATR calculation. - Max active zones per side (default 20, range 1–100) — how many supply/demand zones to track per symbol; oldest are dropped when the limit is exceeded. Zone Break - Include wicks (else body only) (default true) — when ON, the break check uses candle high/low (wicks); when OFF, only body (max/min of open, close). - Break threshold (%) (default 0, range 0–100) — how far price must penetrate the zone to invalidate it. 0 = zone breaks at first touch of the near edge, 50 = breaks at midline, 100 = breaks only after fully crossing the zone. Proximity - Near threshold (ATR ×) (default 1) — distance from zone edge (in ATR units) within which price counts as "NEAR". Was-in zone - Bars back for 'was in zone' (default 10, range 1–50) — lookback window for the WAS_IN status. If price was inside a zone within the last N confirmed bars but is no longer there, the symbol shows WAS IN SUPPLY / WAS IN DEMAND. Only triggers when no IN/NEAR status applies. Current-symbol zones - Draw zones for current chart symbol (default true) — toggles zone box rendering on the chart. - Max drawn zones per side (default 20) — limit for boxes drawn on chart. - Supply fill / Demand fill (default red 80% / green 80%) — zone box colors. Table - Position (default top_right) — top/bottom × left/right/middle. - Show only hits (default true) — hides symbols with no signal. - Text size (default normal) — tiny / small / normal / large / huge. - Strip exchange prefix (default true) — shows EURUSD instead of OANDA:EURUSD. --- Typical usage - Open any chart and timeframe — the scanner immediately shows which symbols in your watchlist are in/near a zone. - When you change the chart timeframe, the scanner recomputes all symbols on the new TF. - When you switch the chart to a symbol from the list, you see its zones rendered as boxes directly on the chart. Limitations - Pine Script enforces a hard limit of 40 unique request.security calls per indicator — hence the 40-symbol cap. Empty slots are mapped to the chart symbol and deduplicated, so the actual call count depends on how many distinct tickers you populate. - Zone boxes are drawn only for the active chart symbol (price-axis scaling makes cross-symbol overlay meaningless). - With breakPct=0 and useWicks=true, zones have a short life (a single wick touch invalidates them) — the WAS_IN status acts as a follow-up signal in that mode. Tip: For longer-lived zones, raise breakPct to 50–100% — IN/NEAR statuses will then persist as long as price holds the zone. For a classic S&D screener, the recommended combination is useWicks=true + breakPct=0 + wasInLookback=10.
אינדיקטור Pine Script®
מאת ‎svopex‎
Order Block Detector [SMC ChartSense]# SMC ChartSense — Order Block Detector **Order block detection with mandatory FVG (Fair Value Gap) confirmation.** Each zone marked must have a 3-bar FVG at the anchor candle — institutional displacement that left a literal gap in price. Most basic OB scripts flag every breakout candle as an order block; this script filters to only the zones that came with displacement footprint, producing a cleaner chart with fewer but more meaningful zones. ## How it works The script tracks swing pivots at a configurable length and waits for a confirmed break — a candle that closes beyond the prior swing high or low. When a break occurs, it searches back through the recent bars to identify the deepest counter-direction candle (lowest low for a bullish OB, highest high for a bearish OB). This becomes the OB anchor. The anchor is then validated against the FVG requirement: there must be a 3-bar gap at the anchor index (bar A high below bar C low for bullish, bar A low above bar C high for bearish). No FVG, no OB. This is the central quality filter. Validated zones extend forward from the anchor and remain active until invalidated — either when price closes through the zone or when the wick touches the far side, depending on user preference. ## Features - FVG validation gate at the anchor candle (3-bar gap requirement) - Configurable swing pivot length for structural sensitivity - User-tunable OB anchor lookback (5–100 bars) - Wick-based or body-based zone definition - Configurable mitigation trigger: Close-through or Wick-touch - Auto-pruning of oldest OBs when active count exceeds limit - Optional faded display of mitigated zones for historical study - Built on Pine v6 with clean, maintainable architecture ## Inputs **Structure Detection** - *Swing Pivot Length* — Higher values produce fewer, more significant pivots. Lower values produce more frequent pivots of smaller structural significance. Default: 5. **Quality Filters** - *OB Anchor Lookback Bars* — How far back from a confirmed pivot break to search for the OB anchor candle. Default 30 covers most timeframes; reduce for scalping, increase for higher TFs. - *Anchor OB to Wick (vs Body)* — Wick mode uses the full candle range. Body mode uses open/close only (tighter zones). - *Mitigation Trigger* — Close mode invalidates when a candle closes through the zone. Wick mode invalidates on first wick touch. **Visualization** - Bull/Bear OB colors (customizable) - Max OBs Per Side (caps active display, oldest auto-pruned) - Show OB Labels (off by default — boxes alone are usually sufficient) - Show Midline (50% level inside each OB, dotted) - Keep Mitigated OBs Visible (faded gray boxes remain for historical reference) ## Built-in alerts - New Bull OB formed - New Bear OB formed - Bull OB touched (price entered zone) - Bear OB touched (price entered zone) ## Suggested use Best on liquid intraday markets — major forex pairs, crypto perps, index futures, large-cap equities — at timeframes from 5m to 4h. Default settings are tuned for 15m–1h ranges; adjust Swing Pivot Length down to 3 for scalping or up to 8–10 for higher-TF trend trading. Use this as a context tool. The zones identify where institutional displacement occurred — actual entries should incorporate your own analysis: HTF bias, structural alignment with current market regime, risk-reward planning, and confirmation from other tools. ## Part of the SMC ChartSense suite One of several focused SMC tools. Designed to work alongside other SMC ChartSense scripts for a coherent analytical workflow across the SMC vocabulary. ## Disclaimer This is a technical analysis tool. It does not provide investment advice or trade recommendations. The author is not a SEBI-registered Research Analyst. Use at your own risk; do your own due diligence.
אינדיקטור Pine Script®
מאת ‎SMCChartSense‎
Foundry Range Ledger [JOAT]Foundry Range Ledger Introduction Foundry Range Ledger is an open-source range and auction-structure indicator that maps active supply, active demand, and the live auction corridor between them. The script is built for traders who need to know where the market is being offered, where it is being defended, and whether price is rotating cleanly between those two points or breaking away from them. Instead of relying on a large dashboard to explain everything, Foundry is designed so the main value is visible directly on the chart. The indicator draws split supply and demand boxes, top and bottom rails, an equilibrium reference, an auction corridor, and candle-state coloring so the structure can be read without hunting through text. The problem Foundry solves is range readability. Many range indicators either mark too little and disappear once the first break occurs, or they mark too much and become unreadable. Foundry focuses on a smaller number of cleaner, higher-visibility structures so the trader can immediately understand whether the market is boxed, rotating, absorbing, rejecting, or releasing through an active zone. Core Concepts 1. Pivot-Derived Supply and Demand Seeding Foundry begins with confirmed pivot highs and pivot lows. Each confirmed pivot can seed a new zone. If a new pivot forms close enough to the prior pivot of the same type, the zone is treated as a stronger cluster rather than as unrelated noise. This lets the script represent repeated defense or repeated supply more clearly than a single-touch model. 2. Split-Zone Construction Each zone is drawn as a body with two internal halves. For supply, the upper half represents the more aggressive offer side and the lower half represents the response pocket below it. For demand, the lower half represents the more aggressive bid side and the upper half represents the response pocket above it. This creates a cleaner institutional-style visual than a single flat rectangle. 3. Top, Bottom, and Equilibrium Rails Foundry does not leave the zone as only a filled box. Each active zone has clear rails at its boundary and a dashed equilibrium line through its center. These rails make it easier to judge exactly where price is entering, holding, or releasing from the zone. 4. Participation Inside the Zone The indicator tracks directional participation inside the active zone. Touches are counted only when price actually interacts with the zone. Buy-side and sell-side participation are then compared to determine whether the zone is absorbing or rejecting. This information drives both state text and the internal color emphasis of the split halves. 5. Auction Corridor Logic When both an active supply zone and an active demand zone exist at the same time, Foundry calculates the live auction corridor between them. That corridor is the space where price is rotating between opposing areas of interest. The script highlights that corridor directly on the chart and adds an equilibrium reference so range traders can see where the market is most balanced. 6. Release and Post-Break Behavior A zone is not immediately forgotten once price breaks it. Foundry can keep released zones visible as post-break context, allowing the trader to study whether price is cleanly escaping or coming back to retest the released area. This is important because the first break is often only part of the story. The retest frequently matters more than the break itself. 7. Candle-State Coloring Candles are recolored based on where price is interacting. If price is trading inside active supply, the candles reflect offer pressure. If price is trading inside active demand, the candles reflect bid pressure. If price is rotating in the live corridor, the candles shift toward the neutral response color. This creates immediate chart feedback without cluttered shapes. Features Confirmed supply and demand zones: Zones are seeded from confirmed pivots rather than unconfirmed intrabar motion Cluster-aware strengthening: Repeated pivots near the same level strengthen the visual and informational quality of the zone Split zone bodies: Each supply and demand box is divided internally for cleaner auction reading Boundary rails and midpoint rail: Top, bottom, and equilibrium references remain visible directly on the chart Auction corridor cloud: When both sides are active, the space between them is highlighted as a live range environment Stateful release behavior: Broken zones can remain visible as post-break structure instead of vanishing instantly Retest labels: Optional tags mark when price revisits released structure Zone interaction candle coloring: Price bars reflect supply interaction, demand interaction, or corridor rotation state Six-row dashboard: Only the highest-value summary fields remain, keeping the chart as the primary information surface Confirmed-bar alerts: Alerts are available for releases, retests, active auction states, and balanced corridor conditions Input Parameters Range Construction: Pivot Length: Number of bars required on each side to confirm a pivot Cluster Tolerance ATR: Distance allowed between repeated pivots before they are treated as one stronger cluster Zone Width ATR: ATR-scaled depth of each zone Forward Extend Bars: Number of bars the active zone projects forward on the chart Minimum Zone Age: Minimum number of bars before a break qualifies as a meaningful release Context and Behavior: Show Auction Cloud toggle Keep Broken Zones toggle Show Retest Tags toggle Show Zone Labels toggle Recolor Candles toggle Broken Zone Fade Bars: Controls how long released zones remain visible when historical persistence is disabled Break Body Quality and filter toggle: Prevents weak-body candles from being treated as high-quality releases How to Use This Indicator Step 1: Identify Whether Supply, Demand, or Both Are Active If only supply is active, the market is currently capped from above. If only demand is active, the market is currently supported from below. If both are active, price is trading inside a live auction corridor. That is the first and most important read. Step 2: Read the Box Geometry, Not Just the Labels The top and bottom rails define the actual interaction edges. The dashed midpoint shows the local equilibrium of the zone. When price enters the zone, watch where it spends time, where it rejects, and whether the candles recolor in the expected direction. Step 3: Use the Corridor as a Rotation Map When both zones are active, the space between demand top and supply bottom becomes the tradable balance corridor. That space is where mean-reversion and auction-style logic are most relevant. A clean release out of that corridor changes the context immediately. Step 4: Watch Release Quality Foundry does not treat every poke outside a zone as equally important. Body quality can be used as a filter so weak noise does not count the same as committed expansion. This helps reduce false structural releases. Step 5: Retests Matter A released zone that price retests cleanly can be more informative than the initial break itself. Use the retest labels and the remaining zone structure to judge whether the prior range is truly being left behind or simply probed. Indicator Limitations Pivot-based zones confirm only after the pivot is complete, so the script will always favor non-repainting structure over earliest possible marking If price trends strongly without forming relevant repeat pivots, the indicator may show fewer zones than a more aggressive retail-style detector A zone is contextual, not predictive; price can ignore supply or demand completely when momentum is strong enough Balanced corridor conditions do not guarantee rotation and can still resolve into directional continuation The recolored candle state is contextual feedback, not an entry signal by itself Originality Statement Foundry Range Ledger is original in the way it combines pivot-seeded supply and demand bodies, split internal zone construction, visible auction corridor rendering, participation-aware state handling, and post-break structural persistence into one chart-first overlay. The script is designed to make range structure visually readable, not to hide it behind a large panel or reduce it to generic rectangles. Disclaimer This indicator is provided for educational and informational purposes only. It does not provide financial advice or trading recommendations. Supply and demand zones can fail, release, or be ignored entirely by price. Balanced ranges can break violently without warning. Always use independent confirmation and risk management.
אינדיקטור Pine Script®
מאת ‎officialjackofalltrades‎
NQ Liquidity Zones (Pro Cluster - Ultimate) STM V1# 📊 Liquidity Zones (Pro Cluster – Ultimate) ## 🧠 Overview This indicator is a **multi-factor liquidity clustering engine** designed to identify high-probability price reaction zones using: * Price density clustering (HLC3-based) * Volume-weighted confirmation * Relative volume filtering * Multi-timeframe aggregation * Session-aware liquidity separation (RTH vs overnight) * Dynamic zone scoring + ranking system Instead of drawing arbitrary support/resistance lines, it builds **statistically validated liquidity zones** based on repeated price interaction and participation strength. --- ## ⚙️ Core Concept Markets tend to rotate around areas where: * Price revisits frequently (liquidity accumulation) * Volume participation increases (order concentration) * Sessions overlap or transition (structural imbalance zones) This tool identifies those regions by scoring price levels based on: * Touch frequency (price clustering) * Volume intensity (relative participation) * Freshness (recency of interaction) * Session behavior (RTH vs overnight separation) --- ## 📈 How It Works ### 1. Multi-Timeframe Data Engine The indicator optionally pulls higher timeframe data to build **institutional-grade zones** that reflect broader liquidity structure, not just local noise. --- ### 2. Cluster Detection Each price level is evaluated across a rolling lookback window: * Prices within ATR-based proximity are grouped * Each cluster accumulates: * Touch count * Relative volume contribution * Session-based participation bias --- ### 3. Scoring System Every cluster receives a composite strength score based on: * Density of price interaction * Volume weighting (optional) * Session behavior (regular vs overnight liquidity) * Recency of last interaction Only clusters above a **minimum strength threshold** are promoted to active zones. --- ### 4. Zone Classification Zones are automatically categorized as: * **Support Zones (Demand)** → price below current market * **Resistance Zones (Supply)** → price above current market * **ETH King Zone (optional highlight)** → highest overnight liquidity concentration --- ### 5. Dynamic Filtering To remove noise, the system filters zones using: * Minimum strength score * Minimum relative volume threshold * Age-based decay (zones lose relevance over time) * Sensitivity cutoff for stale liquidity --- ### 6. Visual Structure Each zone is rendered as: * A shaded liquidity band (not a thin line) * Color-coded by type (supply/demand) * Optional “King Zone” highlight for dominant liquidity clusters * Transparent aging effect to show weakening levels over time --- ### 7. Alert Engine The script generates real-time alerts for: * **Zone Entry** → Price enters a liquidity zone from outside * **Zone Break** → Price breaks through a liquidity zone boundary Alerts are ranked so only the strongest zones trigger notifications (configurable top-N filtering). --- ## 🧩 What Makes It “Pro Grade” Unlike standard support/resistance tools, this model: * Uses **statistical clustering instead of manual pivots** * Incorporates **volume-weighted liquidity strength** * Separates **session-based liquidity regimes** * Ranks zones dynamically instead of treating all levels equally * Applies **aging decay to reflect real market relevance** --- ## 📌 Best Use Cases * Intraday liquidity tracking (scalping / day trading) * Breakout confirmation zones * Reversal reaction areas * Session transition analysis (Asia → London → NY) * Institutional-style liquidity mapping --- ## ⚠️ Important Note This tool does not predict direction. It identifies **where liquidity is concentrated**, not what price will do — allowing traders to align entries around statistically significant reaction zones rather than arbitrary levels. ---
אינדיקטור Pine Script®
מאת ‎StanTheTradingMan‎
1
Shark Hunt | AnonycryptousShark Hunt | Anonycryptous Description & user manual (Some chart snapshots below) Why makes this indicator different? Most liquidity indicators show you levels. They draw a box where a swing high or low formed and wait for price to return. They do not tell you whether the return matters. They do not filter what is noise from what is a genuine institutional event. They do not confirm whether the move that touched the level was a stop hunt or just a graze. They show you where. Not what. Shark Hunt works differently. It does not just detect liquidity zones. It hunts what happens at them — mechanically, bar by bar, through a multi-layer confirmation engine that evaluates wick penetration, volume, rejection strength, and optional pattern confluence before a signal fires. Every condition has a purpose. Every filter reflects something that institutional order flow actually leaves behind. Most traders can look at a chart in hindsight and spot a liquidity sweep. They see the wick, they see the reversal, they understand what happened. The challenge is identifying it as it forms, before the move is over. That is what Shark Hunt is built to do. And then there is the Failure Entry engine. Not every meaningful institutional move starts at a marked zone. Sometimes price sweeps a structural pivot mid-chart — no zone, no prior markup — and reverses sharply. These are swing failure patterns: a wick through a recent high or low, a close back inside, and the market moving the other way. Shark Hunt includes a complete standalone engine for detecting and trading these setups, with its own signal system, trade block, and performance tracking. It is an indicator within an indicator. When you enable it, the entire color scheme shifts to make the mode change unmistakable. Most indicators are built for one idea. Shark Hunt is built for two ways of reading the same market — and it tells you clearly which mode you are in. Important notice Shark Hunt generates trading signals based on pattern detection and volume analysis. These signals are not financial advice. They do not predict the future. They do not guarantee profitability. All trading decisions are made entirely by the user. Always manage your own risk. Always apply your own judgment. 1. Overview Shark Hunt is a liquidity zone detection and sweep confirmation indicator built around the behavior of institutional participants — how they build positions, how they run stops, and how that activity shows up on a chart. What it includes: - Impulse-scored liquidity zone detection at swing highs and lows - Three-tier zone significance: scalp, intermediate, and major - Multi-layer sweep confirmation: wick penetration, volume, rejection, and pattern gates - Zone flip logic: broken support becomes resistance and vice versa - Zone hold statistics with percentage display and liquidity value per zone - Five price pattern detections: imbalances, absorption bars, price failures, level break retests, and wick traps - Trade block visualization with configurable RR ratio, SL mode, and width - Failure Entry engine: standalone SFP signal system with independent settings and trade blocks - Sweep and failure mode color switching: fluor green/red for zone mode, fluor cyan/red for failure mode - Neon glow rendering for both candles and zones: independently configurable - Live dashboard showing active mode, zones, trade statistics, and PnL in R - Alerts for zone sweep longs, zone sweep shorts, failure longs, and failure shorts 2. How zones are built Shark Hunt detects liquidity pools at confirmed swing highs and lows using a pivot-based engine. Every zone is scored at the moment of formation using a composite impulse quality score — a weighted combination of body strength, volume relative to average, and bar range relative to ATR. Higher scores mean the move away from the zone was more decisive. When two zones form too close together, the weaker one is removed. Only the more significant level survives. Zone significance is configurable in three modes: -Scalp Short pivot lookback. More zones formed, closer to current price. Suited for fast timeframes and intraday scalp setups. -Intermediate Balanced detection. A practical default across most instruments and timeframes. -Major Extended pivot lookback. Only the most significant structural levels qualify. Fewer zones, higher conviction per zone. Each zone extends to the right in real time. A stats label shows the percentage of touches where price held without sweeping — the hold rate — and the estimated liquidity value at the formation bar, calculated as volume multiplied by price. These two numbers tell you how historically respected a zone is and how much institutional interest was present when it formed. When price closes decisively through a zone, the zone flip logic converts it to the opposite side. A broken demand zone becomes supply. A broken supply zone becomes demand. This mirrors how smart money re-uses levels. 3. Sweep confirmation A sweep fires only when all enabled conditions are satisfied on the same bar at close. Wick penetration The wick must break through the zone boundary by at least a configurable percentage of price. This filters grazes from genuine stop hunts. At 0.05%, small but intentional penetrations qualify. At 0.2% and above, only decisive spikes are counted. Volume confirmation The sweep bar must have volume at or above a configurable multiple of the rolling average. Institutional sweeps require size to move price and collect stops. A sweep on below-average volume is usually noise. This filter is toggleable. Wick rejection The wick that swept the zone must represent a minimum percentage of the bar's total range. A high rejection percentage means the bar closed far from its sweep extreme — price was pushed back hard. A low percentage means price drifted through and kept going. This filter is toggleable. Pattern confirmation gates Three optional gates can be added on top of the base sweep conditions: - Require Price Failure (SFP): the sweep bar must also close back inside a recent pivot. Stop hunt confirmed by structure. - Require Wick Trap: the sweeping wick must be at least twice the body size and larger than half an ATR. Pin-bar quality required. - Require Absorption Bar: the sweep bar must fully engulf the previous candle. One-sided institutional commitment on the sweep itself. Each gate is independent. Any combination can be active simultaneously. When all three are off, the base filters apply. When one or more are on, they stack as AND conditions — all must pass. A cooldown setting prevents duplicate signals on the same level by requiring a minimum number of bars between confirmed sweeps. When a sweep confirms, the zone is marked as swept and fades. A trade block is drawn showing the SL zone and TP zone based on the configured stop loss mode and RR ratio. 4. Price patterns Five independent price pattern detections run continuously alongside the zone engine. Each can be toggled on or off. -Price imbalances Three-candle gaps where price moved too fast for two-sided trading. The gap between the first and third candle is visible as a small filled box. These areas act as magnets — price tends to return. A bull imbalance forms when a bullish candle leaves a gap above. A bear imbalance forms the same way in the opposite direction. -Absorption bars A candle that fully engulfs the previous candle in body. The current bar opened inside the prior bar's body and closed beyond it on the opposite side. This shows one side overpowering the other in a single bar — a sign of directional commitment. Marked with a small dot above or below the bar. -Price failures A bar that breaks a recent swing pivot with its wick but closes back inside. The market attempted a breakout, ran the stops beyond the pivot, then reversed. This is the mechanical signature of an institutional stop hunt at a structural level. Marked with a clean "F" label in bull or bear color. -Level break and retest When price closes through a recent pivot level and then returns to test it from the other side, a retest marker fires. Broken resistance retested as support, and vice versa. The cross marker appears at the retest bar. -Wick traps Candles with a wick at least twice the body size and larger than half an ATR. These mark areas of strong rejection. When a wick trap appears at or near a zone, it adds weight to the setup. Marked with a directional arrow. 5. Trade block When a zone sweep confirms, a trade block is drawn from the signal bar forward. It shows the SL zone in red and the TP zone above or below entry. Two stop loss modes are available: -Zone mode The stop is placed at the zone boundary plus a configurable ATR buffer. Consistent across setups — the SL is anchored to the structural level that defined the zone. -Wick mode The stop is placed at the deepest point of the sweep wick plus a configurable ATR buffer. Tighter, and closer to the actual sweep extreme. Can vary significantly bar to bar depending on wick size. The RR ratio scales the TP distance as a multiple of the SL distance. At 1.0, TP equals SL distance — a 1:1 setup. At 2.0, TP is twice the SL distance. The trade block width in bars is configurable. The backtest engine runs alongside the live chart. Every confirmed signal is tracked. When TP or SL is reached, the result is recorded as positive or negative R and accumulated in the dashboard. 6. Dashboard The dashboard is displayed in a configurable position at tiny, small, or normal size. It shows: - Active mode: Sweep — on or off. Failure — on or off. Immediately visible at a glance. - Depth: the current zone significance setting. - Bull liquidity: number of active bull zones, with fresh zone count. - Bear liquidity: same for bear zones. - ATR: current ATR value for the active calculation period. - Trades, longs, shorts, wins, losses, win rate: cumulative signal statistics. - Total PnL in R: cumulative result across all signals. - Expected value in R: average result per trade. Mode colors are active throughout. In zone sweep mode, bull elements appear in fluor green. In failure entry mode, everything bull switches to fluor cyan. Bear elements remain in fluor red in both modes. The mode switch is visible across every element on the chart — zones, candles, markers, trade blocks, and the dashboard simultaneously. 7. Neon glow Two independent glow systems are available under the Visuals section. Neon glow candles Three stacked plotcandle layers render the candles in fluor color with a soft outer glow. Body transparency and wick and border transparency are separately adjustable — softer body, harder wicks gives the most readable result. Two glow layers control the diffuse outer glow and the inner primary glow independently. For best results: open chart settings, go to the Style tab, and set the default candle body, border, and wick to fully transparent. This removes the standard TradingView candle rendering and lets only the glow candles show. Neon glow zones Four stacked box layers per zone produce a layered neon glow from the zone boundary outward. A single Zone Glow Strength slider controls all layers simultaneously — lower values produce a more intense neon effect, higher values produce a softer ambient glow. Both systems work in both modes. When failure entry mode is active, the glow shifts to fluor cyan for all bull elements. 8. ⚡ The Failure Entry engine — the Bonus 🦈 Zone sweeps are the core of Shark Hunt. But not every institutional move starts at a marked level. Sometimes price sweeps a structural pivot that has no zone drawn on it — a recent swing high or low that formed mid-session, between established zones. The move is decisive: a wick beyond the pivot, a close back inside, and price accelerating in the opposite direction. These are swing failure patterns. They are one of the cleanest institutional signatures available — a stop hunt at a structural level, confirmed by the bar's own price action. The Failure Entry engine is a fully independent system inside Shark Hunt, built specifically to detect and trade these setups. When Failure Entry mode is enabled, the zone sweep signal system is suspended. Zones remain on the chart as structural context — they often align with logical TP levels for failure trades. But entries come only from the failure engine. The failure engine uses its own pivot lookback, separate from the zone detection engine. A dedicated wick size filter measured in ATR is the primary quality gate — it controls how large the failure wick must be relative to current volatility. Small values allow minor structural failures. Larger values require significant spike reversals. This is the primary lever for tightening or loosening signal quality. A separate wick rejection percentage filter ensures the sweep bar closed convincingly away from its extreme. Volume confirmation with its own multiplier can be applied independently. A cooldown prevents duplicate signals on the same pivot. The failure engine has its own trade block: fluor cyan for TP, fluor red for SL. The SL can be placed at the wick tip or at the pivot level itself, each with its own ATR buffer. The RR ratio and block width are independently configurable. Performance is tracked separately. The failure PnL, win rate, and expected value accumulate in their own records and are reflected in the total dashboard figures. Every failure trade contributes to the overall session result. Enabling failure entry mode changes the entire visual environment. All bull elements — zones, candles, markers, trade blocks — switch from fluor green to fluor cyan. The mode status rows in the dashboard confirm what is active at a glance. Switching modes is one toggle. The chart responds immediately across every element. The failure engine is not a replacement for the zone sweep system. It is a complementary tool for catching institutional moves that do not begin at a pre-mapped level. Used in combination with the zone context still visible on the chart, it gives Shark Hunt coverage of both types of setup — the anticipated sweep at a known level, and the opportunistic reversal at an unmarked pivot. 9. Settings reference 9.1 Zone detection - Pivot lookback: bars each side to confirm a swing high or low - Zone significance: scalp, intermediate, or major - Max active zones per side: upper limit on tracked zones - Zone ATR width: zone height as a multiple of ATR - Min zone separation (ATR): minimum distance between zones of the same type - Show fresh zones only: hide swept zones or keep them faded - Enable zone flip: convert broken zones to the opposite side 9.2 Sweep confirmation - Min wick penetration (%): minimum wick break through zone boundary - Volume confirmation: toggle volume filter on or off - Min volume multiple: minimum sweep bar volume relative to average - Volume average period: rolling volume baseline length - Wick rejection filter: toggle wick size filter on or off - Min wick rejection (%): minimum wick as percentage of bar range - Cooldown bars between sweeps: minimum gap between signals - Require price failure (SFP): optional pattern gate - Require wick trap: optional pattern gate - Require absorption bar: optional pattern gate 9.3 Price patterns - Show price imbalances - Show absorption bars - Show price failures - Show level breaks and retests - Show wick traps 9.4 Trade block - Show trade block on sweep - RR ratio - SL mode: zone or wick - SL buffer (ATR) - Trade block width (bars) 9.5 Visuals - Bull and bear liquidity zone transparency - Show zone stats label - Show % hold - Show liquidity value - Zone label size - Min % hold to show zone - Enable neon glow candles - Body transparency (soft) - Wick and border transparency (hard) - Primary glow strength - Secondary glow strength (diffuse) - Enable neon glow zones - Zone glow strength 9.6 Failure entry - Enable failure entry mode - Pivot lookback - Min failure wick (ATR) - Min wick rejection (%) - Volume confirmation - Min volume multiple - Cooldown bars between failures - SL mode: wick or pivot - SL buffer (ATR) - RR ratio - Trade block width (bars) - Show trade block on failure 9.7 Dashboard - Show dashboard - Position: top left, top right, bottom left, bottom right - Size: tiny, small, normal 10. How to use 10.1 Initial setup 1. Set zone significance to match your timeframe. Major works well on 3m and 15m as a starting point. 2. Enable the filters you want active. Volume confirmation and wick rejection are on by default — these are the minimum recommended filters. 3. Set your RR ratio. The default of 1.0 is conservative. Adjust based on your own risk management rules. 4. Decide whether to use zone mode or failure entry mode. Both can be tested and compared using the dashboard statistics. 5. If you want neon glow rendering, set default chart candles to transparent first, then enable the glow toggles. 10.2 Reading the chart Zones in fluor green are bull liquidity pools — unfilled stop clusters below recent swing lows. Zones in fluor red are bear liquidity pools above swing highs. The opacity and label show how historically respected each zone is. When price approaches a zone, watch the sweep confirmation criteria. A qualifying bar at close triggers the signal and draws the trade block. "F" labels mark price failure patterns. When an F appears near a zone boundary, it strengthens the setup. A price failure at a liquidity zone is the clearest confluence available in Shark Hunt — a structural stop hunt confirmed by both the zone engine and the failure pattern simultaneously. Imbalance boxes, absorption dots, retest crosses, and wick trap arrows all provide additional context. None of them are trade signals by themselves. They are confluence indicators — the more of them align with a zone sweep, the higher the contextual quality of the setup. 10.3 Illustrative bull scenario Educational example only. Not a trading recommendation. A swing low forms with strong impulse score. A bull liquidity zone is drawn below it, showing 100% hold and a high liquidity value. Several bars later, price dips into the zone with a sharp wick on elevated volume. The wick is larger than the body, covering more than 25% of the bar range. The bar closes above the zone boundary. A fluor green triangle fires below the bar. The trade block appears showing the TP zone above and the SL zone below. An "F" label also appears on the same bar — the zone sweep and the price failure both confirmed simultaneously. 10.4 Illustrative bear scenario Educational example only. Not a trading recommendation. Price rallies into a bear liquidity zone marked from a prior swing high. The approach candle is an absorption bar — a dot appears above it. On the next bar, a sharp spike above the zone on high volume forms a wick that covers more than 25% of the bar range, closing back below the zone top. The sweep confirms. A fluor red triangle fires above the bar. The trade block drops from entry to the TP target below. A wick trap arrow also marks the same bar — strong institutional rejection at a known supply level. 10.5 Using failure entry mode Enable failure entry mode when you want to trade swing failure patterns without requiring a pre-mapped zone. The zone boundaries remain on the chart. Use them as context. A failure trade that targets a nearby bull or bear zone as its TP has structural justification for the exit level. The min failure wick (ATR) setting is the primary quality control. Start at 0.4. If you see too many minor failures firing, raise it. If the engine is missing moves you can see visually, lower it. The dashboard will show failure-specific statistics. Compare the failure win rate and expected value to the zone sweep statistics. Over time, this data tells you which setup type performs better on your instrument and timeframe. 10.6 Timeframe guide - 1m–2m: scalp depth, loose filters, high zone count, failure mode useful - 3m–5m: recommended default settings, both engines perform well - 15m: major depth, tighter wick penetration, fewer but higher quality setups - 30m and above: increase pivot lookback for both zone and failure engines 11. Tip The zone hold percentage is information. A zone with 0% hold has been swept every time price visited it. That is a weak zone — it may not hold the next time either. A zone at 95% hold has defended itself repeatedly. That is a level with a track record. Volume confirmation is your noise filter. On most instruments, genuine institutional sweeps show up on volume. A sweep on below-average volume is usually a retail move or a thin-market spike. Keep volume confirmation on unless your instrument has unreliable volume data. The pattern confirmation gates stack. Requiring price failure, wick trap, and absorption simultaneously will produce very few signals — but the ones that fire will have three independent confirmations in addition to the base sweep conditions. Use the gates selectively based on how many signals your timeframe normally generates. Zone glow and candle glow are independent. You can use zone glow without candle glow, or both together. The neon rendering is a visual choice — it does not affect signal logic. Failure mode changes everything visually. When you enable it, the entire chart shifts to fluor cyan for bull elements. This is intentional — it makes the mode switch obvious. There is no ambiguity about which engine is active. The dashboard expected value is the most useful long-term metric. A positive expected value means the average signal generates profit over time. A negative value means the current settings lose on average even if the win rate looks reasonable. Track it across sessions to validate your configuration. Chart snapshots: 12. Disclaimer This indicator is provided for educational and informational purposes only. Nothing in this document constitutes financial advice or any form of recommendation. Trading financial instruments involves substantial risk of loss. Past performance is not indicative of future results. You may lose all of your invested capital. Anonycryptous accepts no responsibility or liability for any losses incurred as a result of using this indicator.
אינדיקטור Pine Script®
מאת ‎Anonycryptous‎
[Gadatas]-Ichimoku CandyBox ZonesThis indicator identifies supply and demand zones based on a custom Ichimoku Kumo structure called the “Candy Box”. A Candy Box forms when a short-lived cloud segment appears between two opposite Senkou Span A/B crossovers and remains structurally valid during its formation. Zones are built from the highest and lowest values of Senkou Span A and B within each cloud segment and are projected forward until price touches them. ⸻ Key Features * Detects compact Ichimoku cloud segments (Candy Boxes) * Differentiates supply (above price) and demand (below price) zones * Two invalidation modes: * Standard (any touch invalidates) * Full Cloud Fill (only full candle crossover invalidates) * Dynamic visibility filter to hide zones far from current price * Zones are preserved internally and reappear when price returns ⸻ Notes * Not all Kumo twists produce valid zones * Designed to highlight clean, untouched imbalance areas * Works best in ranging or transitional market conditions
אינדיקטור Pine Script®
מאת ‎gadatas‎
Market Structure Navigator [JOAT]Market Structure Navigator Introduction Market structure is one of the most widely discussed concepts in technical analysis, yet most tools that attempt to visualize it reduce swing highs and swing lows to single price points. In practice, price rarely reverses at a precise tick level — it reacts within a zone , which may span several ATR units depending on the instrument and timeframe. This distinction matters: treating a level as a point rather than a zone leads to false breaks being mistaken for genuine structural shifts. The Market Structure Navigator addresses this by modeling every significant swing high and swing low as an ATR-based zone with measurable thickness. It tracks two layers of structure simultaneously — external (major) pivots that define the larger-degree trend, and internal (minor) pivots that provide context within that trend. Each zone passes through a three-state lifecycle, and structural breaks are automatically classified as either Break of Structure (BOS) or Change of Character (CHoCH), giving you an immediate read on whether a break confirms the existing trend or signals a potential reversal. This is an overlay indicator — all elements are drawn directly on the price chart. --- Core Concepts Dual-Layer Structure: External and Internal The indicator identifies two categories of structural pivots using TradingView's built-in pivot functions: External structure (major): Pivots requiring a configurable number of bars on each side (default 20). These are the significant swing highs and lows that define the broader trend context. They update less frequently and represent the higher-degree market structure. Internal structure (minor): Pivots requiring fewer bars on each side (default 7). These fire more frequently and capture the sub-swings that occur within the larger structural moves. This dual-layer approach mirrors how institutional analysis treats structure: external levels define the direction of the larger trend; internal levels provide precision context for entries and exits within that trend. Zone Geometry and ATR Thickness Rather than marking a pivot as a single horizontal line, each pivot is rendered as a rectangular zone. The zone's top and bottom are calculated as: zoneTop = pivotPrice + (ATR * zoneAtrMult) zoneBottom = pivotPrice - (ATR * zoneAtrMult) The default ATR multiplier is 0.5, meaning the zone extends half an ATR above and below the pivot price. This thickness is dynamic — it adjusts to the current volatility of the instrument rather than using a fixed pip or point value. Zones extend to the right as new bars form, keeping them visible as price approaches. Three-State Zone Lifecycle Every zone passes through three possible states: Active (State 0): The zone has formed and not yet been tested. It extends to the right as bars pass, representing untested support or resistance. This is the most significant state — an active zone has not had its interest absorbed. Swept (State 1): Price has reached the midpoint of the zone (configurable as either a wick touch or a close through the midpoint). A swept zone has been tested and shows that some activity occurred at that level. It may have weakened but is not yet confirmed as broken. Broken (State 2): Price has closed decisively beyond the zone boundary (above the top for a resistance zone, below the bottom for a support zone). A broken zone stops extending. This state marks the structural failure of that level. This lifecycle gives actionable information that a single horizontal line cannot. An active zone is very different from a swept zone even if they appear at the same price level. BOS and CHoCH Classification When price breaks through the last significant external high or low, the indicator determines whether the break is: Break of Structure (BOS): The break occurs in the same direction as the current trend. A bullish BOS is a higher high that extends a confirmed uptrend; a bearish BOS is a lower low extending a downtrend. BOS signals trend continuation. Change of Character (CHoCH): The break occurs against the current trend direction. A CHoCH in a downtrend means price has broken above the last significant swing high — a structural signal that the trend may be reversing. CHoCH signals a potential regime shift, not a confirmed reversal. Both external and internal structural breaks are tracked separately. An internal CHoCH during an external downtrend, for example, may represent a short-term countertrend move within a larger bearish structure — context that a single-layer tool would miss. Momentum Normalization Momentum is calculated as the normalized price change: momentum = priceChange / stdev(close, lookback) This expresses the size of recent price movement in terms of its own standard deviation, making the momentum reading comparable across different instruments and volatility regimes. Target Arrows When an internal structural break occurs, the indicator draws a directional arrow label pointing toward the next significant external level. This provides a visual read on where price may be targeting within the larger structural context. --- Features Dual-layer structure detection: external major pivots and internal minor pivots tracked independently ATR-dynamic zone thickness — zones adapt to current instrument volatility Three-state zone lifecycle: Active, Swept, Broken — each visually distinct Automatic BOS vs. CHoCH classification for both external and internal breaks Configurable sweep mode: wick-based (high/low touches midpoint) or close-based (close through midpoint) Equal high/low detection with configurable ATR tolerance to flag double tops/bottoms Target arrows on internal breaks pointing toward the next external level Dashboard table showing trend state, momentum, active zone counts, last known structural levels, and last break type Full visual toggle controls for all overlay elements Maximum zone count cap per type to maintain chart performance --- Dashboard Table A table displayed at the top-right of the chart provides a live summary of structural conditions: Ext Trend: Current external trend direction (Bullish / Bearish) Int Trend: Current internal trend direction Momentum: Normalised momentum value Ext Zones Active: Number of currently active external zones Int Zones Active: Number of currently active internal zones Last Ext High / Low: Price level of the most recent significant external pivot high and low Last Break: The most recent break type (eBOS, eCHoCH, iBOS, iCHoCH) --- Color System External high zones: red External low zones: white Internal high zones: teal Internal low zones: blue BOS labels: green CHoCH labels: red This color separation allows you to immediately distinguish between the two structural layers without reading labels. --- Input Parameters External Pivot Length (default 20) — bars required on each side for a major pivot to confirm Internal Pivot Length (default 7) — bars required on each side for a minor pivot to confirm ATR Length (default 14) — ATR period used for zone thickness calculation Zone ATR Multiplier (default 0.5) — controls how wide each zone is relative to ATR Equal H/L Tolerance (default 0.3 ATR) — how close two pivots must be to be considered equal highs or lows Sweep Mode (Wick / Close) — whether zone sweeps are triggered by wick touch or candle close through the midpoint Max Zones Per Type (default 40) — caps the number of active zones drawn per category to preserve chart performance BOS Lookback (default 30) — bars looked back when checking for structural breaks Visual Toggles — individual controls for zones, BOS/CHoCH labels, target arrows, and the dashboard table --- How to Use Apply to any chart. The indicator will begin plotting zones as enough bars form to confirm pivots at the chosen lengths. Allow sufficient historical bars to load so that the external pivots have time to confirm — with extLen set to 20, a pivot requires 20 bars after the swing point before it is officially plotted. Read the external layer first. The external trend (eBOS/eCHoCH sequence) tells you the larger-degree direction. Trade in alignment with this unless you have strong reason to fade it. Use the internal layer for timing. Internal CHoCH events within an external uptrend can signal pullback entries; internal BOS events in the direction of the external trend can confirm continuation. Active zones are the most significant. A first-touch of an active zone is generally more meaningful than a return to a swept or broken zone. When price approaches a zone, check the sweep mode setting and monitor whether price is reaching the midpoint (sweep) or closing through the boundary (break). The target arrow on an internal break shows the next external level — this is a reference, not a guaranteed target. --- Limitations Pivot detection is inherently lagging. A pivot at bar N is only confirmed after N + extLen (or intLen) additional bars have formed. This means zones appear after the fact — the exact pivot price was in the past by the time the zone is drawn. With longer pivot lengths, the indicator requires more historical bars to display meaningful structure. On short lookback windows or when first applied to a chart, the initial display may show few or no zones until sufficient pivot confirmation has accumulated. ATR-based zone thickness means zone width changes with volatility. During high-volatility periods, zones become wider and may overlap. During compressed volatility, zones are narrower. Adjust the ATR multiplier if zones are too wide or too narrow for your preferred trading style. The BOS/CHoCH classification is based on the direction of the previous break relative to the current one. In choppy, range-bound markets, rapid BOS/CHoCH alternation is possible and does not necessarily indicate a trend — it may simply reflect noise. Zone lifecycle states reflect price behavior relative to the zone midpoint and boundary. They do not predict whether a swept zone will hold or whether a broken zone will become a new support/resistance level. Maximum zone count limits (default 40 per type) are necessary to maintain chart performance. On instruments or timeframes with many pivot formations, older zones will be removed as new ones are added. No indicator can classify market structure with certainty in real time. CHoCH signals a potential reversal; it does not confirm one. Always apply additional judgment. --- Originality Statement The distinguishing design decisions in this indicator are: zone-based pivot modeling, the three-state lifecycle, and the integrated dual-layer structure system. Most structure tools mark a swing high or low as a horizontal line at a single price. This indicator models each pivot as a zone with ATR-derived thickness, acknowledging that price reactions do not occur at a tick but within a range that varies with the instrument's current volatility. A 0.5 ATR zone around a pivot is a more honest representation of where liquidity and interest are likely to cluster. The three-state lifecycle (Active → Swept → Broken) adds information that static horizontal lines cannot convey. An active zone that has never been tested is categorically different from one that has seen a wick test — and both are different from a zone that has been fully broken. Treating these three states identically discards relevant context. The dual-layer architecture (external major + internal minor) is not simply running the same algorithm twice at different sensitivities. The external layer provides the trend framework; the internal layer provides the tactical sub-structure within it. The BOS/CHoCH classification connects these two layers — an internal CHoCH is interpreted in the context of the external trend direction, not in isolation. --- Disclaimer This indicator is provided for educational and informational purposes only. It does not constitute financial advice, investment advice, or a recommendation to buy or sell any security. All trading involves risk, including the possible loss of principal. Past indicator performance does not guarantee future results. Always conduct your own research and consult a qualified financial professional before making any trading decisions. -Made with passion by officialjackofalltrades
אינדיקטור Pine Script®
מאת ‎officialjackofalltrades‎
Liquidity Zone Harvester [JOAT]Liquidity Zone Harvester Introduction Institutional order flow leaves footprints in market structure. When a large buyer or seller places a significant order, the execution of that order creates an imbalance between supply and demand at a specific price level — and markets frequently return to these levels to test whether the original interest remains. These price areas are commonly referred to as order blocks or liquidity zones, and they form one of the core concepts in institutional and Smart Money trading methodology. The Liquidity Zone Harvester is an automated order block detection and management system that identifies these zones using statistically validated momentum signals rather than arbitrary manual placement. Instead of drawing boxes wherever a trader's eye thinks supply or demand may exist, this indicator uses Z-score cumulative impulse detection to identify when directional momentum has reached statistically significant levels — and only then marks the most recent opposing-close candle as the source order block. Volume quality gates ensure that only high-participation impulses create zones, filtering out low-conviction moves that are less likely to represent genuine institutional activity. What sets this indicator apart from standard order block tools is what happens after zone creation. Every active zone is tracked through a dual-mechanism aging system. The Bayesian exponential decay model progressively reduces zone visual intensity over time with a configurable half-life, providing a continuous probability signal about zone freshness. Simultaneously, a Kaplan-Meier survival analysis engine — borrowed from medical statistics — estimates the probability that a given zone will survive future price tests, based on the historical survival rates of all previously observed zones in the training window. Each zone displays both its current age and its estimated survival probability directly on the chart, turning static boxes into dynamically updated probability estimates. Core Concepts 1. Z-Score Cumulative Impulse Detection Zone creation is triggered only when directional momentum reaches a statistically defined threshold. The system accumulates a running streak of directional closes — when consecutive bars close higher than their open, the bull accumulator grows; when consecutive bars close lower, the bear accumulator grows. The streak resets when direction reverses. This cumulative streak is then normalized against its own rolling mean and standard deviation, producing a Z-score that measures how unusual the current momentum streak is relative to recent history. cumBull := close > open ? nz(cumBull ) + (close - open) : 0 cumBear := close < open ? nz(cumBear ) + (open - close) : 0 zBull = (cumBull - ta.sma(cumBull, zLen)) / ta.stdev(cumBull, zLen) zBear = (cumBear - ta.sma(cumBear, zLen)) / ta.stdev(cumBear, zLen) bullEvent = ta.crossover(zBull, zThresh) and barstate.isconfirmed and volOK bearEvent = ta.crossover(zBear, zThresh) and barstate.isconfirmed and volOK When a bullEvent fires (bull Z-score crosses the threshold with volume confirmation), the system looks backward to find the most recent down-close candle — the last bar where sellers were dominant before the impulse began. This becomes the demand zone. Similarly, a bearEvent marks the most recent up-close candle as the supply zone. 2. Volume Quality Gate Not all Z-score impulses are created equal. An impulse that occurs on abnormally low volume represents weak conviction — possibly a thin-market price drift rather than genuine institutional momentum. The volume gate applies RSI to the volume series to normalize it against its own history. Only when volume RSI exceeds the configurable threshold is the volOK condition true, enabling zone creation. volRsi = ta.rsi(volume, 14) volOK = volRsi > volThresh This filter meaningfully reduces the number of zones created during low-participation conditions such as pre-market sessions, lunch hours, or holiday-period trading — precisely the times when order block levels are least likely to represent significant institutional interest. 3. Order Block Zone Construction When a signal event is confirmed, the most recent opposing candle is identified using ta.valuewhen(). For a bullEvent, the system finds the most recent bar where close was less than open (a down candle) — its high and low define the demand zone boundaries. For a bearEvent, it finds the most recent up candle — its high and low define the supply zone boundaries. A box object is created spanning from that historical bar to the current bar, with height defined by the candle's actual high-low range. lastDnHigh = ta.valuewhen(close < open, high, 0) lastDnLow = ta.valuewhen(close < open, low, 0) lastDnBar = ta.valuewhen(close < open, bar_index, 0) if bullEvent newBox = box.new(lastDnBar, lastDnHigh, bar_index, lastDnLow, ...) bullBoxes.push(newBox) 4. Overlap Prevention (f_no_overlap) To avoid cluttering the chart with redundant zones that occupy the same price territory, an overlap check function evaluates whether a proposed new zone overlaps with any existing zone of the same type. The function iterates over all existing bull or bear boxes and compares the new zone's top and bottom against each existing box's top and bottom. A guard condition (nBull > 0) prevents the iteration from running on an empty array, which would cause an index -1 crash. f_no_overlap(newTop, newBot, boxes) => noOverlap = true if boxes.size() > 0 for i = 0 to boxes.size() - 1 b = boxes.get(i) if newTop >= box.get_bottom(b) and newBot <= box.get_top(b) noOverlap := false noOverlap 5. Bayesian Exponential Decay Each zone's visual transparency is driven by an exponential decay function that represents the diminishing probability of zone relevance over time. The half-life parameter (default: 75 bars) defines how quickly a zone fades. At age 0, the zone is fully opaque. At age 75 bars, the zone is at 50% opacity. At age 150 bars, 25% opacity. This continuous decay — rather than a binary active/expired switch — provides an analog probability signal directly encoded in the zone's visual intensity. decayFactor = math.exp(-0.693 * age / halfLife) zoneAlpha = math.round(decayFactor * 200) box.set_bgcolor(b, color.new(zoneColor, 255 - zoneAlpha)) 6. Kaplan-Meier Survival Analysis The Kaplan-Meier estimator is a nonparametric statistical method originally developed to measure survival probabilities in clinical trial data. In this indicator, "survival" is defined as a liquidity zone remaining unmitigated (not breached by a closing price on two separate occasions). Each time a zone is mitigated, it is recorded as a "death event" at its current age. Zones that expire by age limit without mitigation are recorded as "censored events" — incomplete observations. The KM formula multiplies survival probabilities across all observed events up to a given age. // For each completed event (death at age t_i with n_i at-risk zones): S_t := S_t * (1.0 - d_i / n_i) // Product over all event times <= query age For each active zone, the indicator queries the KM estimate at the zone's current age and displays the result as a percentage label. A zone at age 40 showing "Age 40 | 72%" means that historically, 72% of zones survived to at least 40 bars without being mitigated — giving traders a quantitative assessment of how likely the zone is to hold on the next test. Features Z-Score Cumulative Impulse: Statistical momentum threshold using normalized cumulative directional streaks to gate zone creation. Volume Quality Gate: Volume RSI filter ensures only high-participation impulses create zones. Precise Order Block Identification: Most recent opposing candle (last down-close for bull event, last up-close for bear event) defines zone boundaries. Overlap Prevention: f_no_overlap function checks all existing zones before creating a new one, preventing chart clutter from redundant levels. Bayesian Exponential Decay: Zone opacity decays over time with configurable half-life, encoding freshness as a visual probability signal. Kaplan-Meier Survival Analysis: Medical-statistics survival estimator applied to zone longevity, displayed as a percentage probability label on each active zone. Dynamic Zone Extension: Box right edge extends to the current bar on every update, keeping zones visually connected to the present. Mitigation Tracking: Zones that are closed through twice are flagged as mitigated and removed, with the event recorded for KM analysis. Seven-Row Dashboard: Active demand count, active supply count, bull Z, bear Z, volume RSI, KM training size, and signal status. Two Alert Conditions: Zone created alert and zone rejection (price tests and bounces back) alert. Input Parameters Z-Score Settings: Z Lookback: Rolling window for Z-score normalization (default: 50) Z Threshold: Sigma level required to trigger an impulse event (default: 2.0) Volume Gate Settings: Volume RSI Period: RSI lookback for volume normalization (default: 14) Volume RSI Threshold: Minimum volume RSI for zone creation eligibility (default: 55) Zone Management Settings: Max Zone Age: Maximum bars a zone remains active before forced removal (default: 300) Mitigation Count: Number of closes through a zone required for mitigation (default: 2) Max Active Zones Per Side: Maximum simultaneous demand or supply zones displayed (default: 5) Decay Settings: Decay Half-Life: Number of bars at which zone opacity reaches 50% of initial value (default: 75) KM Settings: KM Training Window: Bar lookback for Kaplan-Meier training data collection (default: 500) Show Survival Labels: Toggle KM probability labels on active zones (default: true) Display Settings: Show Demand Zones: Toggle demand (bull) zone boxes (default: true) Show Supply Zones: Toggle supply (bear) zone boxes (default: true) Show Dashboard: Toggle the seven-row information table (default: true) How to Use This Indicator Step 1: Understand Zone Creation Conditions Zones are not created on every bar — they are created only when a statistically significant directional impulse (Z-score above threshold) occurs on above-average volume. This selectivity is intentional. In any given trading session, you will likely see only a few zone creation events, each backed by a genuine momentum surge that suggests institutional participation. When you see a new zone appear, note the Z-score values in the dashboard and the volume RSI reading — higher values on both indicate a stronger impulse and more confident zone placement. Step 2: Prioritize Fresh, High-Survival Zones Not all zones on the chart are equally relevant. A fresh zone (low age, full opacity) at a KM survival rate of 80% is a far stronger candidate for price reaction than an old zone (high age, near-transparent) at 30% survival probability. Use both the visual opacity and the KM label together: as a zone ages and fades, reduce your expectation that it will provide meaningful support or resistance. When price approaches a zone that is both visually fresh and shows high KM survival probability, the statistical expectation of reaction is at its highest. Step 3: Watch for Zone Rejection Alerts The zone rejection alert fires when price tests a zone (enters the box boundary) and then closes back away from it without mitigating it. This is the core trade setup: price returning to the institutional order block level, briefly penetrating it, and then reversing. The rejection alert provides a timely notification for potential entries in the direction of the original impulse that created the zone, with the zone's near boundary serving as the natural stop-loss reference. Step 4: Monitor KM Training Size for Statistical Validity The dashboard displays the KM training sample size — the number of completed zone events (both mitigated and aged-out) available for the survival analysis. With fewer than 10 training events, the KM estimate has high variance and should be treated as rough guidance. With 30 or more training events, the estimate becomes statistically stable. On instruments or timeframes where the indicator has run for extended periods, the KM estimates become increasingly reliable as the training dataset grows. Indicator Limitations The Z-score cumulative impulse and volume gate require sufficient chart history for the rolling normalization periods to be seeded. In the first Z-lookback bars of a new chart, zone creation signals may be less reliable as the mean and standard deviation are not yet fully established. Kaplan-Meier survival estimates are only as reliable as the training dataset. On instruments or timeframes that have not accumulated many completed zone events, the survival probabilities should be treated as rough estimates rather than statistically precise values. The mitigation definition (two closes through the zone) is a configurable approximation. In real order block theory, mitigation can be defined in several ways; this indicator's specific definition may not match every trader's conceptual framework. Zones are based on the most recent opposing candle at the time of the impulse event. In fast markets where multiple large candles cluster closely together, the marked candle may not represent the most significant institutional order location. This indicator requires volume data. On instruments where volume is unavailable or unreliable (some synthetic indices, certain forex pairs), the volume gate will not function as intended and should be disabled or its threshold lowered significantly. The exponential decay model assumes a constant half-life across all market conditions. In reality, zone relevance can be regime-dependent — a zone formed during a trending market may remain relevant longer than one formed during a range, or vice versa. Maximum active zones per side is a hard limit. If the limit is reached, new valid zone creation events will be rejected until an existing zone is mitigated or aged out. Originality Statement The Liquidity Zone Harvester is a genuinely original indicator that applies statistical and mathematical frameworks from outside the trading domain to a problem common in technical analysis. The Z-score cumulative impulse detection — using consecutive close-open accumulation normalized against rolling sma/stdev — as the primary trigger for order block marking is an original signal architecture. Most order block indicators use visual pattern matching (e.g., a large candle followed by a gap) rather than statistical significance thresholds. Applying the Kaplan-Meier survival estimator — a nonparametric method from biostatistics — to estimate the probability that a liquidity zone will survive future price tests is a novel application of medical statistics to market analysis. This provides a mathematically grounded probability estimate that no standard order block indicator offers. The Bayesian exponential decay applied to zone visual transparency — using a configurable half-life to continuously encode zone freshness as opacity — is an original visual design that treats zone relevance as a continuously diminishing probability rather than a binary active/inactive state. The overlap prevention function that iterates over all existing zone arrays before creating a new zone — with the index-crash guard for empty arrays — is a specific engineering solution to a concrete problem in box-based indicator design. The volume RSI quality gate, applied specifically to filter Z-score impulse events rather than as a standalone signal, is an original confluence filter design that specifically addresses the problem of thin-market false signals in order block detection. Disclaimer The Liquidity Zone Harvester is provided for educational and informational purposes only. It is a technical analysis tool and does not constitute financial advice. Liquidity zones and order blocks are analytical constructs; they do not guarantee price reactions. Past zone behavior as encoded in Kaplan-Meier estimates does not predict future zone performance. All trading involves risk of loss. Users are solely responsible for their own trading decisions. Please consider your individual risk tolerance and consult a licensed financial professional before engaging in any trading activity. -Made with passion by officialjackofalltrades
אינדיקטור Pine Script®
מאת ‎officialjackofalltrades‎
BAEMFX | Institutional Suite & Smart Zones BAEMFX | Institutional Suite is a comprehensive all-in-one trading tool designed for Smart Money Concepts (SMC) and Institutional Price Action traders. This script automates the detection of market structure, supply/demand imbalances, and liquidity gaps, allowing you to focus on execution rather than manual charting. The indicator is optimized for Pine Script v6, ensuring high performance and real-time calculation accuracy across all timeframes. Key Features 1. Automated Market Structure (BOS) - Identifies Break of Structure (BOS) based on customizable pivot lookbacks. - Visualizes trend shifts with clean, dashed lines and labels. - Helps traders stay on the right side of the institutional flow. 2. Dynamic Supply & Demand Zones - Automatically draws high-probability zones based on recent market movements. - Real-time Mitigation: Zones can be set to "Cut on Touch" or "Remove on Touch" to keep your chart clean and relevant. - Customizable depth to show only the most recent active zones. 3. Smart Fair Value Gaps (FVG) - Detects price imbalances (liquidity gaps) where institutional orders are often filled. - Auto-Cleanup: Includes a dedicated mitigation logic that removes or shrinks the FVG box as soon as the price mitigates the gap. - Includes a "Minimum Gap Size" filter to ignore market noise. 4. Professional Session Tracking - Visualizes the Asia, London, and New York sessions. - Displays the high/low range of each session, which is crucial for identifying liquidity sweeps and "Judas Swings." 5. Institutional Trend Filter - Integrated 50, 100, and 200 EMAs to provide a quick overview of the higher timeframe trend and dynamic support/resistance levels. How to Use - Identify the Trend: Use the EMAs and BOS to determine the current market bias. - Locate Interest Areas: Look for unmitigated Supply/Demand zones or FVGs. - Wait for Mitigation: Monitor price action as it enters a FVG or S&D zone. - Execute: Combine these institutional levels with your favorite entry patterns (e.g., LTF Change of Character). Settings - Swing Lookback: Adjust for sensitivity in structure detection. - Mitigation Mode: Choose between "Remove" (cleaner look) or "Cut" (historical context). - Session Times: Fully customizable timezones and session hours. Disclaimer: Trading involves significant risk. This script is a tool to assist analysis and does not guarantee profits. Always use proper risk management.
אינדיקטור Pine Script®
מאת ‎baemfx‎
Real-Time Smart OB ReboundReal-Time Smart OB Rebound is an advanced order block–based trading indicator designed to identify high-probability market reactions at key institutional zones. It focuses on detecting valid bullish and bearish order blocks and generating real-time signals based on precise price behavior when the market revisits these zones. This tool is built for traders who want to capture reversals and continuations at key liquidity areas with clear, actionable signals and minimal noise. 🔹 Key Features Order Block Detection Automatically identifies bullish and bearish order blocks based on market structure and price displacement. Real-Time Signals (Intrabar) Signals appear in real-time as price interacts with the order block, allowing faster reaction to market moves. Signal Invalidation Logic If price moves against the setup, signals are automatically removed in real-time to prevent false entries. Rebound-Based Entries Signals are generated only when price returns to an order block and shows a valid rebound reaction. Volume & Volatility Filtering Signals are only displayed when sufficient volume and volatility are present, helping reduce low-quality trades. Clean Visual Interface Order blocks are clearly marked as zones without clutter, keeping the chart easy to read. 🔹 Benefits 🎯 Higher Precision Entries — Focuses only on meaningful order block reactions ⚡ Real-Time Decision Making — React instantly to market conditions 🧠 Reduced Noise — Filters out weak moves using volume and volatility 🔁 Adaptive to Market Conditions — Works across different forex pairs and volatile assets 📊 Clear Risk Perspective — Designed to help traders identify structured opportunities around key zones
אינדיקטור Pine Script®
מאת ‎alejosaocalero2006‎
Caldera Deviation Cloud [JOAT]Caldera Deviation Cloud Introduction The Caldera Deviation Cloud is an open-source statistical deviation band system that fuses anchored VWAP with Z-score adaptive band widths, Keltner ATR blending, and higher-timeframe volatility expansion into a unified probability envelope overlay. Instead of using a single method to calculate band width, CDC triple-blends VWAP standard deviation, statistical standard deviation, and ATR-based Keltner width — whichever produces the widest reading dominates, ensuring the bands never underestimate true market dispersion. The result is a layered cloud with inner (1-sigma, ~68% probability) and outer (2-sigma, ~95% probability) envelopes that adapt to both local and macro volatility conditions. What makes this indicator distinct from standard Bollinger Bands or VWAP bands is the fusion approach: it does not rely on a single deviation method. It also reverse-engineers historical Z-score reversal points into dynamic "fossil" support and resistance levels — price zones where statistical extremes have historically triggered reversals. Core Engine: Adaptive Deviation Fusion The band width calculation blends three independent deviation measurements: float baseAdapt = na(vwapStdev) or vwapStdev <= 0 ? statDev : math.max(vwapStdev, statDev * 0.5) float keltBlend = useKelt ? math.max(baseAdapt, keltW * 0.6) : baseAdapt float adaptDev = keltBlend * macroMult VWAP Standard Deviation: Derived from the anchored VWAP calculation (session, weekly, monthly, or quarterly reset). This captures volume-weighted price dispersion around the institutional fair value line. Statistical Standard Deviation: Classic standard deviation of closing prices over a configurable lookback (default 100 bars). This provides a pure statistical measure of price dispersion. Keltner Thermal Envelope: ATR-based width (EMA of close with ATR multiplier) that captures range-based volatility. When enabled, this prevents the bands from being too narrow during periods where price moves are large but close-to-close deviation is small. The wider of these three measurements is used as the base deviation, then multiplied by a macro volatility factor derived from the higher timeframe. Probability Lattice (Z-Score Engine) The Z-score engine computes how many standard deviations price is from its statistical mean, then smooths the result with VWMA for visual clarity: Z-Score: (close - SMA) / StdDev, smoothed with VWMA Mean Reversion Velocity: The rate of change of the Z-score, classified as EXPANDING (moving away from mean), CONTRACTING (returning toward mean), or STALLED Dynamic State: SHELL BREACH OB/OS (beyond historical reversal averages), ELEVATED/DEPRESSED (beyond 1 sigma), or EQUILIBRIUM (near mean) Reversal Archaeology (Fossil Levels) This is one of CDC's most distinctive features. The indicator detects Z-score pivot highs and pivot lows, filters them by a minimum threshold (default 1.5 sigma), and accumulates them into rolling arrays. The average of these historical reversal Z-scores is then reverse-engineered back into price levels: Fossil Resistance = VWMA(Mean + AvgTopReversalZ * StdDev) Fossil Support = VWMA(Mean + AvgBotReversalZ * StdDev) These "fossil levels" represent the price zones where, on average, the market has historically found statistical extremes significant enough to trigger reversals. They shift dynamically as new reversal data accumulates and old data rolls off. Macro Volatility Lens (HTF Expansion) When enabled, the indicator fetches standard deviation data from a higher timeframe (default 60-minute) and compares it to its own EMA. When macro volatility exceeds its average, the bands widen proportionally: macroMult = 1 + htfFactor * max(0, (htfStdev - htfAvgDev) / htfAvgDev) This prevents the bands from being too tight during periods of elevated macro uncertainty, even if the local timeframe appears calm. The security calls use lookahead=off to prevent repainting. Visual Elements Equilibrium Spine: The VWMA-smoothed center line (VWAP or statistical mean), plotted as a prominent purple line representing fair value. Core Envelope (Inner Bands): 1-sigma bands representing the ~68% probability zone. Color shifts dynamically based on price position within the cloud using color.from_gradient. Shell Envelope (Outer Bands): 2-sigma bands representing the ~95% probability zone. Price beyond these levels is statistically extreme. Nebula Gradient: A 10-layer gradient fill system creates a smooth visual transition from the spine outward through the core and shell envelopes. Upper layers use distribution (bearish) tones, lower layers use accumulation (bullish) tones. Fossil Levels: Cross-style plots marking the reverse-engineered support and resistance from Z-score reversal history. Signal Architecture CDC generates four signal types, all confirmed-bar only: SHELL BREACH: Price exceeds the outer (2-sigma) envelope — a statistically extreme event. Upper breach suggests distribution extreme, lower breach suggests accumulation extreme. Tooltip includes the sigma multiplier and current Z-score. CORE DRIFT: Price enters the zone between the inner and outer envelopes — elevated deviation but not yet extreme. This serves as an early warning before a potential shell breach. Command Panel (Dashboard) A 10-row monospace dashboard displays: LATTICE: Current smoothed Z-score value STATE: Statistical classification (Shell Breach OB/OS, Elevated, Depressed, Equilibrium) REV VEL: Mean reversion velocity direction (Expanding, Contracting, Stalled) SPINE: Current center line (VWAP/mean) price APERTURE: Current adaptive deviation width MACRO: HTF volatility multiplier (1.0x = normal, >1.1x = elevated macro vol) POSITION: Price location within the cloud (Upper Shell, Upper Core, Neutral, Lower Core, Lower Shell) FOSSIL R / FOSSIL S: Average Z-score at which historical reversals have occurred (resistance and support) Input Parameters Probability Lattice: Lattice Depth: Z-score lookback window (default 100) Lattice Damper: VWMA smoothing on raw Z-score (default 14) Sigma Core: Inner band multiplier, ~68% probability (default 1.0) Sigma Shell: Outer band multiplier, ~95% probability (default 2.0) Anchor Nexus: Volume Epoch: VWAP reset period — Session, Weekly, Monthly, or Quarterly Keltner Fusion: Enable Thermal Envelope: Toggle ATR-based width blending (default on) Thermal EMA / ATR Scale: Keltner channel parameters Macro Volatility Lens: Enable Horizon Expansion: Toggle HTF volatility widening (default on) Horizon Timeframe / Blend Factor: HTF parameters Reversal Archaeology: Fossil Depth: Rolling array size for reversal history (default 25) Fossil Threshold: Minimum Z-score magnitude for valid reversal (default 1.5) How to Use This Indicator Use the cloud as a probability envelope — price spending time near the outer shell is statistically unusual and often precedes mean reversion. Watch SHELL BREACH signals at the outer bands for potential reversal setups, especially when the Reversion Velocity shows CONTRACTING (Z-score returning toward mean). Fossil levels provide dynamic support/resistance derived from statistical history — they shift as new reversal data accumulates, making them adaptive rather than static. The MACRO multiplier in the dashboard warns when higher-timeframe volatility is elevated — wider bands during these periods reflect genuine uncertainty, not just noise. CORE DRIFT signals serve as early warnings — price entering the core-to-shell zone may continue to the shell or reverse. Use them as alerts to pay attention, not as standalone trade signals. The Equilibrium Spine (center line) acts as a dynamic fair value reference — extended moves away from it tend to revert over time. Limitations Statistical bands assume roughly normal price distributions, which markets frequently violate. Fat tails and gap events can exceed even the outer shell without warning. Z-score mean reversion is a tendency, not a guarantee — price can remain at statistical extremes for extended periods, especially during strong trends. Fossil levels are based on historical reversal averages and may not predict future reversal points accurately. They provide context, not certainty. The VWAP anchor resets at each period boundary (session, week, etc.), which can cause discontinuities in the center line and bands. Higher-timeframe volatility expansion depends on the selected HTF — different choices produce different macro multipliers. The indicator does not generate directional buy/sell signals — it provides statistical context for your own decision-making. Originality Statement This indicator is original in its triple-blend adaptive deviation approach. While VWAP bands, Bollinger Bands, and Keltner Channels are established concepts individually, CDC is justified because: The triple-blend deviation fusion (VWAP stdev + statistical stdev + Keltner ATR) ensures bands never underestimate dispersion regardless of which volatility measure is dominant. Reversal Archaeology reverse-engineers Z-score pivot history into dynamic price levels — a technique not found in standard deviation band indicators. The Macro Volatility Lens integrates higher-timeframe volatility directly into band width calculation, providing macro-aware probability envelopes. The 10-layer nebula gradient fill creates a visual probability density that communicates statistical significance through color intensity. Mean Reversion Velocity tracking provides directional context for Z-score movement, helping distinguish between expanding extremes and contracting reversals. The comprehensive dashboard presents statistical state, reversion dynamics, and fossil levels simultaneously. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Statistical deviation bands describe historical price distribution patterns but do not predict future price movement. Extreme Z-scores do not guarantee reversals. Always use proper risk management and conduct your own analysis before making trading decisions. The author is not responsible for any losses incurred from using this tool. -Made with passion by officialjackofalltrades
אינדיקטור Pine Script®
מאת ‎officialjackofalltrades‎
[ 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.
אינדיקטור Pine Script®
מאת ‎AlphaX-Trade‎
Imbalance Cartograph [JOAT]Imbalance Cartograph Introduction The Imbalance Cartograph is an advanced open-source price imbalance mapping engine that identifies, tracks, and manages Fair Value Gaps (FVGs) and Supply/Demand zones across multiple layers. It goes far beyond basic FVG detection by adding auto-mitigation, volume filtering, transparency fade for aging zones, stacked imbalance detection, confluence highlighting, nearest zone radar, imbalance density scoring, and a comprehensive 15-row dashboard. Every zone is non-repainting and drawn only on confirmed bars. The core idea is simple but powerful: institutional order flow creates imbalances in price delivery. These imbalances — gaps where price moved too fast for the market to fill, and zones where large orders were placed — act as magnets that price tends to revisit. By mapping all active imbalances and tracking their lifecycle, traders can identify high-probability areas where institutional interest exists. Why This Indicator Exists Fair Value Gaps and Supply/Demand zones are among the most discussed concepts in Smart Money methodology, yet most indicators that detect them are simplistic: they draw a box when a gap forms and leave it there indefinitely, with no lifecycle management, no volume confirmation, and no way to assess how many imbalances are clustered near current price. The Imbalance Cartograph solves these problems by treating imbalances as living entities with a full lifecycle: Creation: FVGs are detected using the standard three-candle gap pattern, but filtered by volume (only gaps formed on above-average volume qualify by default). Supply/Demand zones are created at swing pivots using configurable pivot lengths. Aging: Older zones progressively fade in transparency, giving visual priority to fresh zones while keeping historical context visible. Testing: When price returns to a zone, it transitions from "fresh" to "tested" with a color change, indicating the zone has been challenged but not broken. Mitigation: FVGs are automatically deleted when price fills the gap completely. Supply zones broken by price can convert to breaker blocks (polarity flip). Confluence: When an FVG overlaps with a Supply/Demand zone, the overlap area is highlighted as a high-probability confluence zone. Layer 1: Fair Value Gaps FVGs represent gaps in price delivery where the market moved so aggressively that it left unfilled space between candles. The indicator detects both bullish and bearish FVGs: Bullish FVG: Current candle's low is above the candle-two-bars-ago's high, and the middle candle closed above that high. This creates an upward gap in price delivery. Bearish FVG: Current candle's high is below the candle-two-bars-ago's low, and the middle candle closed below that low. This creates a downward gap. Each FVG is drawn as a colored box extending forward (default 50 bars) with optional price labels showing the exact gap range. Volume Filter: When enabled (default), FVGs only qualify if the middle candle's volume exceeds the 20-bar average. This filters out low-conviction gaps that are less likely to act as institutional reference points. Auto-Mitigation: When enabled (default), FVGs are automatically deleted when price fills the gap. For bullish FVGs, this means price's low touches the top of the gap. For bearish FVGs, price's high reaches the bottom. The indicator tracks mitigation counts for the dashboard. Stacked Imbalance Detection: When two or more consecutive FVGs form in the same direction, the indicator marks them as "STACKED" with a count. Stacked FVGs indicate sustained institutional pressure — the market is creating gap after gap in the same direction, which is a strong directional signal. Layer 2: Supply and Demand Zones Supply and Demand zones are created at swing pivot points detected using ta.pivothigh() and ta.pivotlow() with a configurable pivot length (default 10 bars). Supply Zones: Created at swing highs. The zone extends from the swing high candle's high down to the candle body (max of open, close). These represent areas where selling pressure overwhelmed buying. Demand Zones: Created at swing lows. The zone extends from the swing low candle's low up to the candle body (min of open, close). These represent areas where buying pressure overwhelmed selling. Zone Lifecycle: Fresh: Newly created zone, bright color, never tested Tested: Price has returned to the zone but not broken through. Color shifts to indicate the zone has been challenged. Broken/Breaker: When price breaks through a zone completely, it can optionally convert to a "breaker block" — the zone flips polarity (old supply becomes potential demand, and vice versa). This is a key Smart Money concept. Overlap Prevention: New zones are checked against existing zones using an ATR-based threshold. If a new zone would overlap with an existing one, it is not drawn, keeping the chart clean. BOS Lines: When price breaks through a supply or demand zone, a Break of Structure (BOS) line is drawn at the broken level, marking the structural shift. Transparency Fade: When enabled, older zones gradually become more transparent based on their age in bars. This creates a natural visual hierarchy where fresh zones stand out and old zones fade into the background. Advanced Features Imbalance Confluence Detection: The indicator checks whether any active FVG overlaps with any active Supply/Demand zone. When they overlap, the confluence area is highlighted with a gold-colored marker. These confluence zones represent areas where two independent institutional concepts agree — a gap in price delivery coincides with a structural supply or demand level. These are among the highest-probability zones on any chart. Nearest Zone Radar: The indicator continuously calculates the distance from current price to the nearest active zone (supply or demand). The dashboard displays the zone type, distance in ATR multiples, and direction. This gives traders an instant read on how close they are to the next potential reaction area. Imbalance Density: The indicator counts how many active FVGs and S/D zones exist within 3 ATR of current price and produces a density score (0-10). High density means price is surrounded by multiple imbalances — a "thick" area where reactions are likely. Low density means price is in "clean" territory with fewer institutional reference points. 15-Row Dashboard Rows 1-2: Bull FVG and Bear FVG counts with stacked status Rows 3-4: Supply and Demand zone counts with lifecycle state (Fresh/Tested) Row 5: Breaker block count Row 6: FVG fill rate (percentage of FVGs that have been mitigated) Row 7: Nearest zone type, distance, and direction Row 8: Imbalance density score and classification Row 9: Confluence detection status (active/none) Row 10: Stacked imbalance status Row 11: Zone age (average bars since creation for active zones) Row 12: Supply retest count and demand retest count Row 13: Market bias based on imbalance distribution (more bull FVGs + demand = bullish) Rows 14-15: Total FVG and zone statistics Input Parameters Fair Value Gaps: Show FVGs (default on), FVG Extend bars (default 50), Max FVGs Displayed (default 15) Auto-Mitigate FVGs (default on) — delete when price fills the gap Volume Filter (default on) — only show FVGs with above-average volume Supply / Demand Zones: Show Zones (default on), Pivot Length (default 10), Max Zones (default 15) Show BOS Lines (default on), Convert to Breaker (default on) Fade Old Zones (default on) — transparency increases with age Advanced Features: Show Confluence Zones (default on), Show Stacked Imbalances (default on) Show Price Labels on Zones (default on) How to Use This Indicator Step 1: Identify Active Imbalances Look at the chart for active FVG boxes and S/D zones. Fresh zones (brighter colors) are more likely to produce reactions than tested or faded zones. Step 2: Check Imbalance Density The dashboard's density score tells you whether price is in a zone-rich or zone-poor area. High density (7+) means multiple imbalances are nearby — expect reactions. Low density (0-2) means price is in clean delivery territory. Step 3: Watch for Confluence When the dashboard shows "CONFLUENCE ACTIVE," an FVG overlaps with a S/D zone. These are the highest-probability reaction areas. Consider these zones for entries with tight stops. Step 4: Monitor Stacked FVGs Stacked FVGs (2+ consecutive gaps in the same direction) indicate strong institutional pressure. The market is not pausing to fill gaps — it is aggressively displacing price. Trade in the direction of stacked FVGs. Step 5: Use Nearest Zone for Targets The nearest zone radar tells you how far price is from the next potential reaction. Use this for setting take-profit targets or anticipating where price may stall. Step 6: Track Mitigation Rate The FVG fill rate shows what percentage of gaps have been filled. A high fill rate suggests the market is efficiently filling imbalances (range-bound behavior). A low fill rate suggests strong trending where gaps are being left behind. Limitations FVG detection uses a standard three-candle pattern. Not all gaps are created by institutional activity — news events and low-liquidity periods can create gaps that lack institutional significance. Supply/Demand zones are based on swing pivots, which require a lookback period. The pivot length parameter significantly affects zone placement — shorter lengths create more zones, longer lengths create fewer but more significant zones. Auto-mitigation deletes FVGs when price touches the gap boundary. In some cases, price may wick into a gap without truly filling it. The indicator treats any touch as mitigation. Volume filtering uses the 20-bar volume average. On instruments with irregular volume patterns (e.g., crypto on weekends), this filter may be too aggressive or too lenient. The indicator draws on confirmed bars only (barstate.isconfirmed), so zones appear one bar after the pattern completes. This is intentional to prevent repainting. Imbalance zones show where institutional interest existed historically. They do not guarantee future price reactions. Originality Statement This indicator is original in its comprehensive lifecycle approach to imbalance mapping. While FVG detection and S/D zones exist in other scripts, this indicator is justified because: It treats imbalances as entities with a full lifecycle (creation, aging, testing, mitigation, breaker conversion) rather than static drawings The volume filter ensures only institutionally-significant FVGs are displayed, reducing noise from low-conviction gaps Transparency fade creates a natural visual hierarchy that no static-color indicator provides Stacked imbalance detection identifies consecutive FVGs as a measure of institutional pressure — a concept not available in standard FVG indicators Confluence detection between FVGs and S/D zones creates a cross-layer analysis that identifies the highest-probability reaction areas Nearest zone radar and imbalance density scoring provide quantitative measures of the imbalance environment around current price The combination of FVG lifecycle management, S/D zone tracking with breaker conversion, confluence detection, density scoring, and a comprehensive dashboard creates a unified imbalance analysis system not available in any single existing indicator 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. Price imbalances are historical observations about where gaps and zones formed. They do not predict future price movement. While price often revisits imbalances, there is no guarantee that any specific FVG will be filled or that any S/D zone will produce a reaction. Always use proper risk management. Never risk more than you can afford to lose. The author is not responsible for any losses incurred from using this indicator. -Made with passion by officialjackofalltrades
אינדיקטור Pine Script®
מאת ‎officialjackofalltrades‎
Reaction Entry EngineReaction Entry Engine Reaction Entry Engine is an open-source supply and demand reaction indicator built around one specific analytical idea: the first meaningful return into a structurally valid zone can carry different information than later retests of the same area. This script is not designed to mark every possible touch of every level, and it is not intended to behave like a generic supply and demand overlay that treats repeated interaction the same way. Its purpose is to build supply and demand zones from confirmed pivot structure, optionally validate the strength of the move that created the zone, rank the zone using an internal quality model, detect first-touch reactions, and map those reactions into a structured on-chart framework for analysis and review. The script also includes review panels so users can inspect how projected setups behaved over time under the current settings. Those review tools are included to support study and comparison, not to imply future performance. OPEN-SOURCE NOTE This script is published open-source so users can inspect the logic directly, verify what the script is doing, and adapt parts of the workflow for their own research if they wish. Even though the code is open, this description is intentionally detailed because many TradingView users do not read Pine Script. The goal is for a user to understand what the script does, how it works, why its parts belong together, and how it may be used in practice without having to study the code line by line. OVERVIEW At a high level, the script does six things: 1. It builds supply and demand zones from confirmed pivot structure. 2. It can source those zones from the chart timeframe, from a higher timeframe, or from both. 3. It can filter weak formations by checking whether the move surrounding the pivot had enough directional strength. 4. It can score zone quality using post-formation displacement, reaction behavior, penetration depth, and repeated-touch penalties. 5. It can detect first-touch reactions into valid zones. 6. It can project entry, stop, and target structure on the chart and summarize projected historical behavior in review panels. The script is therefore meant to function as a complete first-touch zone reaction framework rather than as a single-purpose zone-drawing tool. CORE IDEA Many structural tools identify areas where price may react, but they do not distinguish clearly between the first meaningful return into a zone and later repeated interaction with that same area. This script is built around the idea that those two situations are not necessarily equivalent. A fresh or relatively intact zone may behave differently from a zone that has already been tested multiple times. Because of that, the script does not treat all contact events in the same way. It attempts to organize the workflow into a more selective sequence: first identify structure, then filter weak structure, then rank remaining zones, then focus on the earliest qualifying return, then map that return into a consistent visual framework for review. This narrower focus is the main reason the script exists in its current form. WHY THIS SCRIPT IS NOT A SIMPLE MASHUP This script combines multiple components, but they are not included simply to place more features into one publication. Each component has a specific function inside the same analytical process: - Zone construction defines the structural areas. - Multi-timeframe sourcing expands or narrows the structural map. - The impulse filter reduces zones formed without meaningful directional expansion. - The quality engine separates stronger and weaker structural candidates. - The first-touch logic makes the model more selective than a repeated-touch zone script. - The projection layer reduces the need for manual chart annotation after a setup appears. - The review panels allow the user to examine projected historical behavior under the chosen settings. These layers are interdependent. Without the zone engine, there is no structural area to evaluate. Without impulse validation, the model accepts more weak or noisy pivots. Without quality scoring, all detected zones are treated too similarly. Without first-touch logic, the script behaves more like a generic touch-based zone tool. Without the projection layer, the user still has to manually draw entry, stop, and target structure after each setup. Without the review layer, the user has less organized feedback when comparing settings or reviewing behavior across time. For that reason, the script is intended as a single first-touch supply and demand reaction framework, not as a random collection of unrelated features. WHAT THE SCRIPT DOES The script identifies supply and demand zones from confirmed pivot highs and pivot lows. Once a zone is created, the script can continue to monitor it and decide whether it should remain only as a structural reference or whether it qualifies for deeper evaluation inside the reaction framework. Depending on settings, the script can: - draw supply and demand zones, - create zones from the chart timeframe, - create zones from a selected higher timeframe, - merge nearby zones of the same type, - classify zones using an internal quality model, - detect first-touch BUY or SELL reactions, - project entry, stop loss, and take profit structure, - retain historical projected trades on the chart, - summarize projected behavior in performance and daily review panels. This allows the chart to function not only as a zone map, but also as a structured review environment for the script’s own reaction model. HOW THE SCRIPT WORKS 1) SUPPLY AND DEMAND ZONE CONSTRUCTION The script uses pivot highs and pivot lows to define structural areas. A pivot high can produce a supply zone. A pivot low can produce a demand zone. Rather than treating a pivot as one exact price, the script expands the pivot into a zone using a configurable pip-based thickness. This is important because many traders interpret supply and demand as areas rather than as single lines. The script can build zones from: - the current chart timeframe, - a selected higher timeframe, - or both at the same time. If nearby zones of the same type are close enough to one another, the script can merge them into a broader structural area. This is meant to reduce overlap and make the displayed structure easier to read. 2) CONFIRMED ZONE LOGIC The script includes a minimum-touch setting for confirmed zones. This setting allows users to distinguish between: - zones that have merely been detected, - and zones that have accumulated enough interaction to be considered more established. Different traders interpret this differently. Some prefer relatively fresh zones. Others prefer zones that have already shown repeated market interaction. The script is designed to support both approaches through settings rather than by forcing one interpretation. 3) TOUCH DETECTION Zone interaction can be recognized using: - wick touch, - body touch, - or both. This affects how strict or permissive the model is when determining whether price has returned into a zone. A wick-based model can capture sharp rejections that only briefly enter the area. A body-based model is stricter and may reduce noise. Using both provides broader coverage. This means the same structural framework can be adapted to different preferences without changing the core logic of the script. 4) IMPULSE VALIDATION Not every pivot represents meaningful structure. Some pivots are formed during weak, indecisive, or noisy movement. To reduce that problem, the script can apply an impulse filter around the pivot that created the zone. The impulse filter can evaluate factors such as: - candle direction, - candle range relative to ATR, - candle body size relative to ATR, - close location near the candle extreme, - optional relative-volume participation. The purpose of this filter is not to predict future direction by itself. Its purpose is simply to reduce zones that were formed without enough directional commitment. 5) QUALITY ENGINE After a zone is created, the script can score it using an internal quality model. The quality engine can consider: - displacement after formation, - reaction size after the first touch, - penetration depth into the zone, - repeated-touch penalty. That information is then used to classify zones into internal grades such as: - A, - B, - TRASH. These grades are not guarantees and should not be interpreted as objective truth. They are simply the script’s own ranking method for separating stronger and weaker structural candidates under the current settings. Users can keep all zones visible or restrict the workflow to higher-grade zones only. 6) FIRST-TOUCH REACTION MODEL The central idea of the script is first-touch selection. Rather than treating every revisit of a zone as equally important, the script attempts to detect the earliest qualifying return into a valid zone. This makes the script more specific than: - a basic supply and demand overlay, - a general touch-alert tool, - or a repeated-contact zone script. For traders who consider early reactions to be structurally important, this framework may be useful because it intentionally avoids reacting in the same way to every later revisit of the same area. 7) TRADE PROJECTION LAYER When a valid first-touch reaction is detected, the script can project a structured trade framework on the chart. Depending on settings, this can include: - BUY or SELL labels, - an entry reference, - stop loss, - take profit, - guide lines, - TP and SL boxes, - retained historical visual structure for later review. This projection layer is not meant to claim that a setup will succeed. Its purpose is to reduce manual chart annotation and make the script’s reaction logic easier to inspect after the fact. 8) REVIEW PANELS The script includes review panels that summarize projected historical behavior. Depending on available chart history and current settings, the review may include metrics such as: - total projected trades, - wins, - losses, - win rate, - profit factor, - average result, - net result, - drawdown behavior, - streak behavior. A separate daily panel summarizes projected daily behavior according to the script’s configured timezone logic. These panels are review tools only. They do not replace formal strategy testing, execution analysis, or live validation, and they should not be interpreted as promises of future performance. WHAT MAKES THIS SCRIPT ORIGINAL This script uses familiar technical-analysis building blocks such as pivots, ATR, candle structure, relative range expansion, optional volume comparison, and zone interaction logic. Those building blocks are not original by themselves. The originality of this script is not in inventing a completely new primitive indicator. The originality lies in how these familiar elements are arranged into one selective workflow: pivot-based zone construction → optional multi-timeframe structure sourcing → impulse validation → quality scoring → first-touch selection → trade projection → on-chart review That full sequence is the main reason this script exists as its own publication. It is not intended to be simply another pivot tool, another ATR-based filter, or another chart dashboard. It is specifically a first-touch supply and demand reaction framework that combines structure detection, formation filtering, zone ranking, selective reaction logic, projection, and review in one workflow. WHAT APPEARS ON THE CHART Depending on settings, the chart may display: - supply zones, - demand zones, - higher-timeframe zones, - confirmed-zone coloring, - zone labels, - zone grades, - BUY and SELL markers, - entry / stop / target lines, - TP / SL boxes, - review panel, - daily review panel. Users who want a cleaner chart can disable some visual layers and keep only the ones most relevant to their workflow. HOW TO USE THE SCRIPT A practical workflow is: 1. Add the script to a standard candlestick chart. 2. Decide whether you want zones from the chart timeframe, from a higher timeframe, or from both. 3. Choose how strict touch detection should be by using wick touch, body touch, or both. 4. Enable the impulse filter if you want to reduce weaker pivot-based formations. 5. Enable the quality engine if you want to rank zones and restrict the workflow to stronger structural candidates. 6. Select the minimum accepted grade if you want stricter setup filtering. 7. Wait for a qualifying first-touch BUY or SELL reaction. 8. Use the projected entry, stop, and target structure as an analysis framework rather than as a blind instruction. 9. Review how prior projected setups behaved under the same settings. 10. Combine the script’s output with market context, execution rules, and risk management. This script is best understood as a structured decision-support and chart-review tool, not as a fully self-sufficient trading system. SETTINGS REFERENCE Supply & Demand Engine - Enable Supply & Demand Engine: turns structural zone detection on or off. - Show S&D Zones: controls whether zone boxes are visible. - Pip Value: converts pip-based calculations into instrument-specific price units. - Pivot Left / Pivot Right: define pivot-confirmation depth. - Use Chart Timeframe Zones: includes zones from the active chart timeframe. - Use Higher Timeframe Zones: includes zones from the selected higher timeframe. - Higher Timeframe: selects the HTF used for additional zone sourcing. - Minimum Touches for Confirmed Zone: defines when a zone is considered confirmed. - Zone Thickness (pips): controls zone thickness. - Zone Merge Distance (pips): controls when nearby zones may be merged. - Break Close Buffer (pips): defines the close-through buffer used in break logic. - Maximum Stored Zones: limits how many zones remain in memory. - Use Wick Touch / Use Body Touch: define how interaction with a zone is recognized. Impulse Filter - Enable Impulse Filter: turns pivot-strength filtering on or off. - Impulse Candle Count: number of candles checked after pivot formation. - ATR Length: ATR period used by the impulse model. - Minimum Range x ATR: required range expansion relative to ATR. - Minimum Body x ATR: required body expansion relative to ATR. - Close Near Extreme: requires the candle to close near its extreme. - Require Volume Condition: optionally adds a relative-volume filter. - Volume SMA Length / Minimum Volume x SMA: control the volume filter. Quality Engine - Enable Quality Engine: turns zone scoring on or off. - Displacement Bars: measures post-formation expansion. - Minimum Displacement (pips): required structural push after formation. - Reaction Window (bars): number of bars used to evaluate post-touch behavior. - Minimum Reaction (pips): minimum bounce or rejection required. - Maximum Penetration %: limits acceptable penetration into the zone. - Touch Penalty: reduces score as repeated interaction accumulates. - Hide TRASH Grade Zones: removes weaker zones from view. - Show Grade on Zones: displays grade labels on the chart. - Show Zone Labels / Zone Label Size: control zone-label visibility and size. Trade Projection - Enable Simulator: turns first-touch trade projection on or off. - Take Profit RR: sets the target multiple relative to stop distance. - Stop Loss (pips): sets the projected stop distance. - Use Chart TF Signals Only: restricts projected setups to chart-timeframe zones. - Minimum Grade: defines the lowest accepted grade for projected setups. - Show Entry / Exit Labels: displays entry and exit labels. - Show Entry / SL / TP Lines: displays projection lines. - Projection Length (bars): extends projected visuals into future bars. - Show TP / SL Boxes: displays TP and SL boxes. - Box Fill / Border controls: change trade-box styling. - Show Performance Panel / Panel Position: control review-panel visibility and position. - Show Daily PnL Panel / Number of Days / Panel Position: control daily-review settings. IMPORTANT PRACTICAL NOTE ON PIP VALUE The script uses a Pip Value setting to convert internal pip-based distances into actual price distances. This matters because different instruments use different decimal structures. If zones, stop loss, take profit, or projected distances appear too compressed, too large, or otherwise inconsistent for the instrument being analyzed, the first setting to verify is Pip Value. On some symbols, especially small-decimal forex instruments, this setting may need adjustment for the script’s structural and projection logic to behave as intended. LIMITATIONS AND SHORTCOMINGS This script has important limitations: - It relies on pivot confirmation, so some structural elements are recognized only after a confirmation delay. - Zone behavior can vary across symbols, brokers, spreads, sessions, and volatility regimes. - Higher-timeframe zones depend on the selected timeframe and can materially change the number and spacing of setups. - The quality engine is a ranking model, not an objective truth detector. - The review panels reflect the script’s own projected logic and settings, not guaranteed tradable outcomes. - The script can be sensitive to pip-conversion settings on some markets. - First-touch logic is selective by design, so it may ignore later reactions that some traders would still consider relevant. - No zone model can remove all false signals or all regime-dependent behavior. For those reasons, the script should be used as a structured analysis and review framework, not as a promise of future profitability. WHO THIS SCRIPT MAY BE USEFUL FOR This script may be useful for traders who: - study supply and demand behavior, - care more about first-return reactions than repeated retests, - want structural filtering rather than raw touch alerts, - want automatic trade mapping for chart review, - want historical on-chart review of projected outcomes. It may be less suitable for traders who: - want every zone retest marked, - want a minimal chart with almost no overlays, - want a finished strategy that requires no outside confirmation or discretion. DISCLAIMER This script is provided for educational and informational purposes only. It does not constitute financial, investment, or trading advice. Market conditions change, historical behavior does not guarantee future results, and users should perform their own analysis, validation, and risk management before using the script in live decision-making.
אינדיקטור Pine Script®
מאת ‎trade_w_samet‎
4
Auto Trendlines Pro [Rejection Zone]Most trendline indicators connect closing prices or arbitrary points. This one works the way a human trader actually draws trendlines — anchored to swing wick extremes, validated bar by bar, and extended as a rejection zone rather than a single line. How it works Pivot highs and lows are detected from wick extremes using a configurable lookback on each side. When two valid pivots are found, the script checks that no wick between them pierced the proposed line, discarding geometrically correct but structurally broken trendlines before they ever appear on screen. Each trendline is paired with a parallel inner boundary to form a rejection zone. The outer wick line is the hard invalidation level. The inner line represents where the price was actually committed, and the noise band between them is where liquidity was swept but couldn't sustain. This is structurally equivalent to a tilted supply and demand zone, automatically drawn at the angle of the trend. Hybrid channel width with ATR fallback The channel width is set by the larger of the two wick-to-body gaps at the anchor pivots. If the two gaps differ by more than a configurable ratio (default 2x), one anchor is flagged as an outlier, and the width falls back to ATR-derived instead. The transition crossfades smoothly between the two methods by default. A dotted inner line signals ATR fallback is active; dashed means the width comes from the actual price structure. Features Wick-to-wick pivot detection with configurable confirmation length on each side Bar-by-bar line validation so that structurally broken trendlines are discarded before drawing Touch count with ATR-scaled tolerance, with line opacity and star rating (✦✦ through ✦✦✦✦) reflecting how many times the price confirmed the level Rejection zone channel with a true parallel inner boundary and linefill, not a converging wedge Outlier detection with smooth ATR fallback and dotted vs dashed inner line to signal which method is active Slope angle filter as a percentage of ATR per bar, scaling correctly across all instruments and timeframes Break and retest detection on the primary trendline with labelled signals and four alert conditions Price projection label at the right edge of each line showing the current projected price Parallel channel detection between support and resistance lines with configurable slope tolerance and linefill Multi-timeframe pivot mode to detect pivots on a higher timeframe while staying on your current chart Settings guide Pivot Length 5 to 8: intraday and short-term swing structure Pivot Length 10 to 15: standard swing trading on daily charts Pivot Length 20 and above: major weekly structure Lines Per Side 1: cleanest view with one support and one resistance Lines Per Side 2 or 3: near-term and broader trendline simultaneously Outlier Ratio 2.0: triggers ATR fallback when one anchor gap is twice the other ATR Fallback Width 0.5x: equivalent to a typical clean wick-to-body gap Blend Outlier Transition on: smooth crossfade between methods; off for a hard switch Reading the zones Price touching the outer wick line but closing inside the zone is still within the noise band with no confirmed break A close beyond the outer wick line is a structural break. Watch for a retest from the other side A close between the two lines is contested; wait for resolution before acting A dotted inner line means channel width is ATR-estimated due to an outlier anchor; dashed means it is derived from the real price structure
אינדיקטור Pine Script®
מאת ‎Azazel_Trading‎
Supply & Demand Zones XLDescription Supply & Demand Zones XL is a non-repainting supply and demand indicator designed to model market structure with a focus on stability, clarity, and quantitative strength evaluation. The script identifies supply and demand zones using pivot-based structure and sizes each zone dynamically using ATR, ensuring consistent scaling across different market conditions. Zones are extended forward in real time and maintained as either active or historical depending on user preference. Each zone is scored using a composite strength model that incorporates volume participation, zone width efficiency, time in market, and touch frequency. The resulting strength rating is normalized to a simple X/10 format and displayed at the end of each zone for immediate readability. A non-repainting mode ensures that zones are only confirmed after pivot completion, preventing forward-looking bias. An optional volume filter allows users to require above-average participation before a zone is formed. The script includes logic to prevent redundant structure by disallowing overlapping zones of the same type while the current zone remains valid. Once a zone is broken, new zones are allowed to form, preserving structural continuity. Zones are considered broken only on confirmed closes beyond their boundaries, not intrabar wicks. Broken zones are downgraded in strength and can be visually differentiated using customizable color controls. Users can independently control coloring for active and historical broken zones, as well as define separate colors for supply, demand, broken supply, and broken demand. Historical zones can be toggled on or off, with optional strength labels, allowing users to balance context versus chart clarity. The result is a structured, state-driven supply and demand model that avoids noise, reduces duplication, and provides a consistent framework for evaluating zone quality and market behavior.
אינדיקטור Pine Script®
מאת ‎tgregg75‎
4
Orderflow Synthesis Pro [JOAT]Orderflow Synthesis Pro Introduction The Orderflow Synthesis Pro is an advanced open-source institutional orderflow analysis indicator that combines Order Block detection, Fair Value Gap identification, Liquidity Pool mapping, and Premium/Discount Array analysis into a unified multi-dimensional flow system. This indicator helps traders identify where institutional money is positioning by analyzing price imbalances, supply/demand zones, and value arrays across the market structure. Unlike basic support/resistance indicators that simply mark levels, this system dissects orderflow into actionable intelligence: Order Blocks reveal where institutions accumulated or distributed positions, Fair Value Gaps expose price inefficiencies that often get filled, Liquidity Pools identify where stop hunts occur, and Premium/Discount Arrays show whether price is trading at value or extremes. The indicator is designed for traders who understand that institutional footprints can be detected through systematic orderflow analysis. Why This Indicator Exists This indicator addresses a critical gap in retail trading: the ability to see institutional orderflow in real-time. Institutional traders leave detectable footprints through their large orders that create specific price patterns. By combining multiple orderflow methodologies, this indicator reveals: Order Blocks: Last opposing candle before strong directional moves - marks institutional accumulation/distribution zones Fair Value Gaps: Three-candle price imbalances where price moved too fast, leaving inefficiencies that often get filled Liquidity Pools: Equal highs and lows where retail stops cluster - prime targets for institutional sweeps Premium/Discount Arrays: Value zones showing whether price is expensive (premium) or cheap (discount) relative to range Breaker Blocks: Failed Order Blocks that reverse - signal institutional trap or change in sentiment Mitigation Blocks: Price returning to Order Blocks for retests - optimal entry opportunities Each component provides a different lens on institutional behavior. Order Blocks show positioning, Fair Value Gaps show inefficiencies, Liquidity Pools show manipulation targets, and Value Arrays show context. Together, they create a comprehensive view of smart money activity. Core Components Explained 1. Order Block Detection Order Blocks represent the last opposing candle before a strong directional move. They mark zones where institutions placed large orders: // Bullish Order Block: Last bearish candle before strong bullish move bullishOB = close < open and close > open and (high - low) > atr * 1.5 and volume > avgVol * 1.3 The indicator identifies Order Blocks using three criteria: Candle direction reversal (bearish to bullish or vice versa) Strong momentum (candle range exceeds ATR threshold) Volume confirmation (volume exceeds average by multiplier) Each Order Block displays with a dark box, glowing border, and equilibrium line through the middle (50% level). Strength classification labels blocks as "STRONG" when volume exceeds 1.8x average. Order Blocks remain active until price closes through them (mitigation), at which point they're removed. 2. Fair Value Gap Analysis Fair Value Gaps (FVGs) occur when price moves so fast that it leaves an imbalance - a gap between three consecutive candles: // Bullish FVG: Current low > 2 candles ago high bullishFVG = low > high fvgSize = (low - high ) / high * 100 FVGs represent price inefficiencies where one side overwhelmed the other. The indicator: Detects gaps with minimum size threshold (default 0.3%) Draws semi-transparent boxes marking the imbalance zone Tracks up to 15 active gaps simultaneously Auto-removes gaps when price fills them (closes within the zone) Institutions often return to fill these gaps, making them high-probability reversal or continuation zones depending on context. 3. Liquidity Pool Mapping Liquidity Pools form at equal highs and lows where retail traders cluster their stop losses. Institutions target these zones to trigger stops before reversing: The indicator identifies equal highs/lows using pivot detection with tolerance: Detects swing highs and lows using configurable lookback Compares pivots to find equal levels within tolerance percentage Marks zones with thick horizontal lines and labels Displays "SELL LIQ" above equal highs, "BUY LIQ" below equal lows When price sweeps these levels and reverses, it signals institutional liquidity grab - often preceding significant moves in the opposite direction. 4. Premium/Discount Arrays Premium/Discount Arrays classify price position relative to recent range, showing whether price is expensive or cheap: rangeHigh = ta.highest(high, 50) rangeLow = ta.lowest(low, 50) rangeEQ = (rangeHigh + rangeLow) / 2 inPremium = close > rangeEQ and close > (rangeEQ + (rangeHigh - rangeEQ) * 0.5) inDiscount = close < rangeEQ and close < (rangeEQ - (rangeEQ - rangeLow) * 0.5) The indicator displays: Multi-gradient background (red/orange in premium, cyan/green in discount) Glowing iridescent equilibrium line with pulsing effect Fibonacci-style levels at 75%, 50%, 25% of range Dynamic adjustment as range evolves Institutional traders typically buy in discount zones and sell in premium zones. This provides directional bias for entries. 5. Breaker Blocks Breaker Blocks occur when an Order Block gets broken and price reverses. They signal failed institutional positioning or traps: When a bullish Order Block breaks to the downside, it becomes a bearish Breaker Block. When a bearish Order Block breaks to the upside, it becomes a bullish Breaker Block. The indicator marks these with dotted boxes and "BREAKER" labels, showing zones where sentiment shifted. 6. Mitigation Blocks Mitigation occurs when price returns to an Order Block for a retest. These provide optimal entry opportunities with defined risk: The indicator marks mitigation with small "MIT" labels when price touches an active Order Block and shows rejection (bullish candle at bullish OB, bearish candle at bearish OB). This confirms the zone is holding and institutions are defending it. Visual Elements Order Block Boxes: Dark fill with glowing neon borders (cyan for bullish, magenta for bearish) Equilibrium Lines: Dashed lines through Order Block midpoints Fair Value Gap Boxes: Semi-transparent fills (green for bullish, red for bearish) Liquidity Lines: Thick horizontal lines at equal highs/lows Premium/Discount Background: Multi-color gradient showing value zones Equilibrium Glow: Multi-layer iridescent line with pulsing effect Gradient Candles: Optional candle coloring based on strength and context Dashboard: Real-time metrics showing active zones and confluence The dashboard displays 8 key metrics: 1. Confluence Level (Extreme/Strong/Moderate/Weak) 2. Active Order Blocks count 3. Open Imbalance Zones (FVGs) 4. Liquidity Pool count 5. Value Array position (Premium/Discount/Equilibrium) 6. Flow State (Explosive/Active/Dormant) 7. Signal Quality score (0-100) Input Parameters Order Block Detection: Lookback Period: Bars to analyze for OB formation (default: 20) Volume Multiplier: Threshold for volume confirmation (default: 1.3) ATR Multiplier: Threshold for momentum confirmation (default: 1.5) Maximum Active Blocks: Limit displayed OBs (default: 8) Strength Classification: Enable/disable strength labels Fair Value Gaps: Minimum Gap Size: Percentage threshold for FVG detection (default: 0.3%) Maximum Active Gaps: Limit displayed FVGs (default: 15) Auto-Fill Detection: Remove gaps when filled Quality Filter: All/Strong Only/Extreme Only Liquidity Analysis: Swing Detection Length: Pivot lookback for equal highs/lows (default: 5) Level Tolerance: Percentage range for "equal" levels (default: 0.15%) Show Sweep Markers: Display liquidity grab boxes Volume Confirmation: Require volume spike for liquidity zones Premium/Discount Arrays: Array Lookback Period: Range calculation period (default: 50) Fibonacci Levels: Show 75%/50%/25% levels Dynamic Equilibrium: Adjust EQ line in real-time Advanced Orderflow: Volume Imbalance: Mark high-volume candles Breaker Blocks: Show failed Order Blocks Mitigation Blocks: Mark OB retests Gradient Candles: Color candles by strength How to Use This Indicator Step 1: Identify Value Context Check the Premium/Discount Array background. Look for entries in discount zones for longs, premium zones for shorts. The equilibrium line shows fair value. Step 2: Locate Order Blocks Find active Order Blocks in your direction. Bullish OBs in discount = high-probability long zones. Bearish OBs in premium = high-probability short zones. Step 3: Watch for Fair Value Gaps FVGs often get filled. When price approaches an FVG in your direction, prepare for potential retest entry. FVG + Order Block confluence = strongest setups. Step 4: Monitor Liquidity Pools Equal highs/lows are magnets for price. Expect sweeps before reversals. When price takes liquidity and shows rejection, it signals institutional positioning complete. Step 5: Confirm with Mitigation Wait for price to return to Order Blocks (mitigation). Enter on rejection candles at OB equilibrium lines with stops below/above the block. Step 6: Check Confluence Score Dashboard shows confluence level. Extreme/Strong = high-probability setups. Multiple components aligning (OB + FVG + Liquidity + Value Zone) = best entries. Best Practices Use on liquid instruments (major forex, large-cap stocks, major crypto) for reliable signals Combine with higher timeframe bias - trade in direction of HTF structure Order Blocks work best at key levels - look for OBs near support/resistance FVG fills don't always happen immediately - be patient Liquidity sweeps often happen at session opens (London/New York) Premium/Discount context is critical - don't buy premium or sell discount Breaker Blocks signal trend changes - respect them Volume imbalance + Order Block = strongest zones Multiple mitigation attempts weaken Order Blocks Indicator Limitations Orderflow analysis works best on trending markets with clear structure Choppy, low-volume conditions produce unreliable signals Order Blocks can fail - always use stop losses Fair Value Gaps may not fill immediately or at all in strong trends Liquidity sweeps can extend further than expected (stop hunts) Premium/Discount zones are relative - not absolute support/resistance The indicator shows where institutions likely positioned, not guaranteed future direction Multiple Order Blocks can create conflicting signals - use confluence Breaker Blocks require confirmation - don't trade the break alone Technical Implementation Built with Pine Script v6 using: Custom Order Block detection with volume and ATR filters Three-candle Fair Value Gap calculations Pivot-based liquidity pool identification with tolerance Dynamic Premium/Discount Array with gradient visualization Breaker Block detection through OB invalidation tracking Mitigation Block confirmation with candle pattern recognition Real-time confluence scoring system Advanced gradient color schemes with iridescent effects Comprehensive dashboard with 8 real-time metrics The code is fully open-source and can be modified to suit individual trading styles and preferences. Originality Statement This indicator is original in its comprehensive integration approach. While individual components (Order Blocks, Fair Value Gaps, Liquidity Pools, Premium/Discount) are established ICT concepts, this indicator is justified because: It synthesizes four distinct orderflow methodologies into a unified system with confluence scoring The Breaker Block detection provides failed Order Block analysis not available in standard OB indicators Mitigation Block tracking combines OB retests with candle pattern confirmation for entry precision The Premium/Discount Array uses multi-gradient visualization with iridescent equilibrium lines Volume imbalance integration adds confirmation layer to all components The confluence scoring system quantifies setup quality across all orderflow elements Real-time dashboard presents 8 metrics simultaneously for holistic orderflow analysis Each component contributes unique information: Order Blocks show positioning, Fair Value Gaps show inefficiencies, Liquidity Pools show manipulation, Premium/Discount shows context, Breakers show failures, and Mitigation shows retests. The indicator's value lies in presenting these complementary perspectives simultaneously with unified classification and visual hierarchy. 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. Orderflow analysis is a tool for understanding market dynamics, not a crystal ball for predicting future price movement. Order Blocks do not guarantee reversals. Fair Value Gaps may not fill. Liquidity sweeps can fail. Past orderflow patterns do not guarantee future orderflow patterns. Market conditions change, and strategies that worked historically may not work in the future. The zones displayed are analytical constructs based on current market data, not predictions of future price movement. High confluence scores 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
אינדיקטור Pine Script®
מאת ‎officialjackofalltrades‎
8
Basic Supply & Demand ZonesThis indicator draws horizontal supply and demand zones based on swing highs/lows (pivots), using a very simplified version of classic supply/demand zone logic: Supply zones (red) → areas where strong selling supposedly happened Demand zones (green) → areas where strong buying supposedly happened Core logic breakdown Pivot detection pineph = ta.pivothigh(leftBars, rightBars) // looks for swing highs pl = ta.pivotlow (leftBars, rightBars) // looks for swing lows Typical default settings: leftBars = 5, rightBars = 3 → A high must be higher than 5 bars before and 3 bars after to be considered a pivot high (and vice versa for lows). How zones are created When a pivot high is confirmed: It looks at the candle body (open/close) of the bar rightBars positions back (usually the 3rd bar before current) Creates a very thin box using only the body high/low of that candle Box color: semi-transparent red Extends rightward 50 bars (configurable) → Label "S" appears above it When a pivot low is confirmed: same logic, but green box + "D" label below Very important — zone height is extremely narrow The zone height = |open - close| of the pivot candle body only → most real supply/demand traders would consider this too narrow (many prefer wick-to-wick or 50–100% extension of the move) Mitigation (deletion) logic — the most useful part Supply zone (red) → gets deleted as soon as price makes a high above the top of the box Demand zone (green) → gets deleted as soon as price makes a low below the bottom of the box This is a classic "mitigation" or "invalidated zone" rule — once price returns into the zone and breaks the opposite side → the zone is considered "used up". Summary – What you actually see on chart Red horizontal boxes appearing around recent swing highs (very thin = body only) Green horizontal boxes appearing around recent swing lows (very thin) Boxes extend ~50 bars to the right When price later strongly breaks through a zone in the aggressive direction → box disappears Tiny "S" and "D" labels (can be turned off)
אינדיקטור Pine Script®
מאת ‎Bolwingete‎
S/R Confluence Engine [AvantCoin]S/R Confluence Engine ───────────────────────────────────────────────────────────────────────────── This indicator takes a different mechanism: Every level is scored across three independent factors, and only levels that pass a minimum confluence threshold are promoted as tradeable. HOW THE SCORING WORKS? ───────────────────────────────────────────────────────────────────────────── Each detected swing level starts with a base score of 1. Up to 3 additional points are added based on the following conditions: +1 The level falls inside a High Volume Node (HVN) — meaning significant volume was traded at or near this price. Price tends to slow down and react at levels where market participants have a large amount of open positions anchored. +1 The level originates from the Higher Timeframe (HTF) — a daily swing high visible on a 5-minute chart carries more weight than a local 5-minute pivot. HTF structure reflects institutional positioning, not just retail order flow. +1 The level is within a configurable tolerance of a psychological level — round numbers and half-levels attract resting orders from both discretionary and algorithmic participants. Confluence with a psych level adds a fourth layer of confirmation. Final score interpretation: Score 1 → Plain swing (structural only, no confluence) Score 2 → ★★ GOOD (one additional factor confirmed) Score 3+ → ★★★ STRONG (two or more factors confirmed) Labels are drawn directly on the chart at each qualifying level so you can assess confluence at a glance without manually cross-referencing indicators. DETECTION METHODS ───────────────────────────────────────────────────────────────────────────── Swing Structure (Current TF) Pivot highs and lows are detected using a configurable lookback length. Resistance levels are drawn in red, support in teal. Swing Structure (Higher TF) The same pivot detection runs on a user-selected higher timeframe (default: Daily). HTF lines are drawn thicker and solid to visually separate them from current-TF swings. Their visibility is controlled independently from the score filter. Volume Profile Nodes The lookback range is divided into price buckets and volume is accumulated per bucket. Buckets exceeding the HVN threshold percentile are drawn as gold highlight zones. Optionally, Low Volume Nodes (price gaps) can also be displayed. Psychological Levels Round numbers are auto-detected based on the magnitude of the visible price range — the indicator adapts whether you are trading a $0.001 token or a $50,000 asset. Half-levels can be enabled optionally. VISIBILITY CONTROLS ───────────────────────────────────────────────────────────────────────────── All four level types have independent show/hide toggles: ☑ Show Higher Timeframe Swings — HTF structure lines ☑ Show Good Levels ★★ — score 2 levels only ☑ Show Strong Levels ★★★ — score 3+ levels only ☑ Show Psychological Levels — round / half numbers Turning off Good and Strong levels leaves only raw unconfirmed swings visible, which is useful for studying structure without score bias. FULL SETTINGS REFERENCE ───────────────────────────────────────────────────────────────────────────── ⚙️ Swing Structure Swing Lookback Length Bars required on each side to confirm a pivot (3–50) Show Higher Timeframe Swings Toggle HTF lines independently Show Good Levels ★★ Toggle score-2 levels Show Strong Levels ★★★ Toggle score-3+ levels HTF Resolution Timeframe for the higher-TF pivot scan Swing Line Width Line thickness (1–4) Resistance / Support Colors Individual color pickers for all four line types Extend Lines to Right Project lines forward on the chart Max Swing Levels to Show Cap on how many pivots are kept per type (1–20) 📊 Volume Nodes Show Volume Nodes Toggle HVN highlight boxes Volume Lookback (bars) How many bars back to analyze (20–500) Price Buckets Number of buckets to divide the range into (5–40) HVN Threshold Percentile cutoff for qualifying as an HVN (50–99%) Show Low Volume Nodes Toggle LVN gap zones Node Box Width Width of the drawn boxes in bars (1–10) 🎯 Confluence Scoring Show Confluence Labels Toggle ★★ / ★★★ labels on chart Confluence Zone Distance tolerance for psych level proximity (0.1–2%) Label Size tiny / small / normal / large 🧠 Psychological Levels Show Psychological Levels Toggle round/half number lines Round Numbers Enable major round number detection Half Numbers Enable 0.5 level detection Line Style solid / dashed / dotted 🎨 Display Show Legend Toggle the on-chart legend table Swing Line Style solid / dashed / dotted for current-TF swings NOTES ───────────────────────────────────────────────────────────────────────────── - Volume Nodes and score labels are redrawn on the last bar only to keep performance efficient on long histories. - Swing candidates are collected on every bar into persistent arrays, so no pivots are missed regardless of when the indicator is loaded. - The scoring system is additive and transparent — each contributing factor is visible in the label type prefix (R, S, HTF·R, HTF·S), so you always know which timeframe and direction a level belongs to. - HTF line visibility is intentionally decoupled from the score filter. A daily swing high will always show when HTF display is enabled, even if its score does not reach the GOOD or STRONG threshold.
אינדיקטור Pine Script®
מאת ‎AvantCoin‎
SMC Core Lite - Signals█ OVERVIEW SMC Core Lite is a lightweight, performance-optimized Smart Money Concepts (SMC) indicator designed to help traders identify institutional trading patterns and generate high-probability trade signals. This indicator combines the most essential SMC elements - Fair Value Gaps (FVG), Order Blocks (OB), and Break of Structure (BOS) - into a single, easy-to-use tool with automatic LONG/SHORT signal generation. █ CONCEPTS The indicator is built on the foundation of Smart Money Concepts, a trading methodology that focuses on understanding how institutional traders (banks, hedge funds, market makers) move the markets. 🔹 Break of Structure (BOS) When price breaks above a swing high or below a swing low, it signals a potential continuation of the trend. This confirms the market's directional bias. 🔹 Change of Character (CHoCH) When BOS occurs against the prevailing trend, it signals a potential trend reversal. This is a powerful early warning sign of shifting market sentiment. 🔹 Fair Value Gaps (FVG) Also known as imbalances, FVGs are areas on the chart where price moved so quickly that it left a "gap" in the price action. These zones often act as magnets for price to return and fill. 🔹 Order Blocks (OB) Order blocks represent the last opposing candle before a strong impulsive move. These zones mark areas where institutional orders were placed and often act as strong support/resistance levels. █ FEATURES • ✅ Break of Structure (BOS) Detection • ✅ Change of Character (CHoCH) Detection • ✅ Fair Value Gap (FVG) Identification • ✅ Order Block (OB) Detection • ✅ Automatic LONG/SHORT Signals • ✅ Auto Stop Loss & Take Profit Levels • ✅ Market Bias Dashboard • ✅ Customizable Risk:Reward Ratio • ✅ Signal Cooldown Filter • ✅ Alert Conditions for All Events • ✅ Lightweight & Fast Loading █ HOW IT WORKS The signal generation follows a confluence-based approach: 🟢 LONG SIGNAL CONDITIONS: 1. Price pulls back into a bullish zone (Bullish FVG or Bullish OB) 2. Recent Bullish BOS/CHoCH confirmed OR Market Bias is Bullish 3. Current candle closes bullish (confirmation) 4. Signal cooldown period has passed 🔴 SHORT SIGNAL CONDITIONS: 1. Price pulls back into a bearish zone (Bearish FVG or Bearish OB) 2. Recent Bearish BOS/CHoCH confirmed OR Market Bias is Bearish 3. Current candle closes bearish (confirmation) 4. Signal cooldown period has passed █ HOW TO USE 1. Add the indicator to your chart 2. Wait for market structure to develop (BOS/CHoCH labels) 3. Observe the Market Bias in the dashboard (BULL 🐂 or BEAR 🐻) 4. Look for LONG signals in bullish bias, SHORT signals in bearish bias 5. Use the auto-generated SL/TP levels for trade management 6. Set alerts to get notified of new signals █ SETTINGS ═══ SIGNALS ═══ • Show LONG/SHORT Signals → Enable/disable signal labels • Show SL/TP Lines → Display stop loss and take profit levels • Risk:Reward → Set your desired R:R ratio (1:1 to 1:5) • Signal Cooldown → Minimum bars between signals (reduces noise) ═══ STRUCTURE ═══ • Show BOS/CHoCH → Display structure break labels • Swing Length → Lookback period for swing point detection ═══ ZONES ═══ • Show FVG → Display Fair Value Gap boxes • Show Order Blocks → Display Order Block boxes • Zone Lookback → Historical bars to analyze • OB Strength → ATR multiplier for impulse move detection █ ALERTS The indicator includes 4 alert conditions: 1. 🟢 LONG Signal → Triggered when a buy signal appears 2. 🔴 SHORT Signal → Triggered when a sell signal appears 3. 🟢 Bullish BOS → Triggered on bullish break of structure 4. 🔴 Bearish BOS → Triggered on bearish break of structure To set alerts: Right-click on chart → Add Alert → Select this indicator → Choose condition █ IMPORTANT NOTES ⚠️ This indicator is optimized for speed and performance. It stores only the most recent 10 FVGs and 10 Order Blocks to ensure fast loading times. ⚠️ Works best on higher timeframes (15m, 1H, 4H, Daily) where market structure is cleaner. ⚠️ Always use proper risk management. No indicator is 100% accurate. █ BEST PRACTICES ✅ Trade in the direction of the higher timeframe bias ✅ Wait for price to pull back to zones before entering ✅ Use the 50% level of zones for optimal entries ✅ Combine with your own analysis for best results ✅ Backtest before using with real capital █ DISCLAIMER This indicator is for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. Always do your own research and consider your financial situation before making any trading decisions. █ CREDITS Inspired by the Smart Money Concepts trading methodology and ICT (Inner Circle Trader) concepts. If you find this indicator helpful, please consider giving it a boost 🚀 and following for more trading tools! █ VERSION HISTORY v1.0 - Initial Release • BOS/CHoCH Detection • FVG & Order Block Identification • LONG/SHORT Signal Generation • Auto SL/TP Calculation • Market Bias Dashboard • Alert Conditions
אינדיקטור Pine Script®
מאת ‎ZakAlgoTrade‎
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