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Smartmoneyconcepts

BOS Adaptive Structure Average (Zeiierman)█ Overview BOS Adaptive Structure Average (Zeiierman) is a structure-aware trend framework that blends market structure logic with an adaptive moving average and directional cloud visualization. Rather than treating all price movements equally, the indicator reacts to confirmed Break of Structure (BOS) and Change of Character (ChoCH) events, using them to dynamically adjust the average's responsiveness and directional bias. The result is a smoother trend tool that does not rely only on price slope, but also incorporates structural confirmation. Alongside the adaptive average, the script tracks live structural highs and lows, scores their relative strength, and visualizes directional bias through a cloud that expands around the average. This creates a more contextual trend model that helps map both current momentum and active market structure. █ How It Works ⚪ Structure Engine 1: BOS / ChoCH Detection The first structure engine identifies pivot highs and pivot lows using a configurable pivot length. Once a pivot is established, the script monitors whether the price breaks above the active high or below the active low. A break above the tracked high triggers a bullish structural event. A break below the tracked low triggers a bearish structural event. Each event is labeled either as: BOS when it continues the current structural direction ChoCH when it breaks against the prior structure state and signals a regime shift This state is stored internally and becomes the foundation for the adaptive behavior of the average. structText(os, isBull) => isBull ? (os == -1 ? "ChoCH" : "BOS") : (os == 1 ? "ChoCH": "BOS") ⚪ Adaptive Average Core At the center of the indicator is a dynamic average that adjusts its response speed using structure activity. The script converts BOS events into a directional impulse: bullish BOS → positive impulse bearish BOS → negative impulse This impulse is smoothed into: bosAct = activity strength bosBias = directional pressure Those values control how quickly the average reacts and how strongly it gets pushed in the active structure direction. When the structure activity is quiet, the average behaves more slowly. When structure becomes active, it accelerates and leans into the prevailing directional break. bosImp = bullBos1 ? 1.0 : bearBos1 ? -1.0 : 0.0 bosAct = ta.rma(math.abs(bosImp), 20) bosBias = ta.rma(bosImp, 20) alpha = aSlow + (aFast - aSlow) * bosAct This produces a trend line that is both smoother than the raw price and more structurally aware than a standard moving average. ⚪ Multi-Speed Internal Average Stack The adaptive average is not built from just one line. Internally, the script calculates five related adaptive components using different multipliers, creating a fast-to-slow response stack around the same structural core. ⚪ Structure Midpoint Anchoring To keep the average tied to evolving market structure rather than drifting too freely with price, the script also uses the midpoint between the current active structure high and low as an anchor. This midpoint acts as a stabilizing force. When the structure is well-defined, the internal averages are gently pulled back toward the structural center, helping the line remain more aligned with the active price framework. mid = na(hi1) or na(lo1) ? na : (hi1 + lo1) / 2.0 anchW = 0.20 * bosAct ⚪ Live High / Low Structure Strength Model The second structure engine tracks broader live highs and lows using a separate pivot length. These are not plotted as static levels — the script scores them based on the sequence of BOS and ChoCH events generated by Structure Engine 1. Weights used in the current code: ChoCH = 1 BOS = 3 These points are accumulated into bullish and bearish buckets for both the live high and live low. The net values are then translated into simple strength labels: Weak Medium Strong This creates a live read on whether the current high is stronger resistance or the current low is stronger support. So the indicator is not only tracking structure breaks, but also maintaining a running estimate of how structurally strong the current high and low levels are. ⚪ Directional Cloud Model This version uses a layered cloud derived from the adaptive average. The main adaptive line is b3. That line is smoothed and then compared to a short EMA reference of hlc3 to create intermediate cloud layers between the adaptive line and the reference line. This produces a graded visual zone that reflects both slope and price relationship. █ How to Use ⚪ Follow Trend Bias Through the Adaptive Average Use the main adaptive line and cloud to quickly read market direction: Bullish cloud + rising average → uptrend Bearish cloud + falling average → downtrend Flat, mixed, or narrow cloud → consolidation/indecision Because the average reacts to structure (BOS/ChoCH) instead of just price movement, it tends to give a clearer trend read than standard moving averages, especially in structurally driven markets. ⚪ Use BOS / ChoCH for Regime Shifts The BOS and ChoCH labels are useful for identifying when the structure is continuing versus when it is changing character. ChoCH suggests a meaningful break against prior structure and may indicate an early regime shift. BOS suggests continuation in the active structural direction This makes the indicator useful not only for trend following but also for spotting when a prior directional assumption may be weakening. ⚪ Map Live Support and Resistance Strength The live High / Low lines and their strength labels help frame the current structure map. A Strong High suggests overhead resistance is being reinforced by bearish structure. A Strong Low suggests support is being reinforced by bullish structure. Weak readings suggest the level is less structurally defended. This can be useful for filtering breakout expectations, fade setups, or risk placement around active market boundaries. █ Settings Fast Response Length – Controls how quickly the adaptive average reacts during active structure conditions. Lower values make the fast side of the average more responsive. Slow Response Length – Controls the baseline smoothness of the adaptive average when structure activity is low. Higher values slow the line down and reduce noise. BOS Directional Push – Adds directional pressure to the adaptive average using smoothed BOS bias and ATR. Higher values increase directional drift after structural confirmation. Pivot Length (Structure Engine 1) – Defines how sensitive the BOS / ChoCH engine is. Lower values generate more structure events; higher values focus on broader swings. Pivot Length (Structure Engine 2) – Defines the broader live high/low structure map. Higher values create more stable but less reactive levels. ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
อินดิเคเตอร์ Pine Script®
โดย Zeiierman
7
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
อินดิเคเตอร์ Pine Script®
โดย alejosaocalero2006
Quantum Smart OB ProWelcome to the Quantum Smart OB Pro, the ultimate evolution in Smart Money Concepts trading. Most SMC indicators flood your chart with weak Order Blocks that fail constantly. This system changes the game by introducing the "Powerful Trade Zone" logic. It actively filters out market noise by hiding standard Order Blocks by default, only revealing the highest probability zones where a Break of Structure (BOS) is accompanied by a massive Fair Value Gap (FVG). Key Features: Dynamic Filtering: Hides weak setups and highlights massive "OB+FVG" convergence zones. Wick to Wick Precision: Built-in "Wick to Wick" drawing method ensures you don't miss entries when price only taps the extreme of the block. Liquidity Sweeps & BOS: Tracks structural shifts and smart money stop-hunts with clean, non-intrusive lines. Customizable: Want to see everything? You can easily toggle standard OBs and individual FVG boxes back on in the settings. Designed to keep your charts completely uncluttered while pointing you exactly where the institutional volume is stepping in.
อินดิเคเตอร์ Pine Script®
โดย sohaibnori
Liquidity Sweep Reaction Grid [PhenLabs]📊 Liquidity Sweep Reaction Grid Version: PineScript™ v6 📌 Description The Liquidity Sweep Reaction Grid (LSRG) is a full-stack sweep detection and reaction classification engine that maps probable sweep zones, scores their structural quality, and labels the outcome — continuation, reclaim, or failure — directly on the chart. Unlike generic liquidity level tools that only show where sweeps may occur, LSRG tells you how convincing the sweep was and what likely happens next. Every sweep event is evaluated across five independent quality factors: volumetric pressure, wick-to-body rejection ratio, close-back strength, higher-timeframe bias alignment, and session context. The result is a 1–5 star quality score displayed at the sweep bar, allowing traders to immediately distinguish between a genuine displacement sweep and low-conviction wick noise. Only sweeps meeting a configurable score threshold generate the post-event classification labels, keeping the chart readable and actionable. LSRG is designed as a high-signal context layer — not a standalone entry trigger. It identifies the structural conditions that precede high-probability reactions and gives traders a systematic framework for evaluating sweep quality at a glance. 🚀 Points of Innovation Five-factor reaction quality score (★1–★5) evaluated independently at each sweep bar — separates displacement events from wick noise with a single glance Post-event classification labels (▶ CONT / ↩ RECLAIM / ✕ FAIL) resolve automatically after the sweep, removing the guesswork of manual outcome tracking HTF bias integration: higher-timeframe EMA is used as a directional filter, meaning sweeps aligned with HTF momentum receive boosted quality scores and are plotted in bias-consistent color Session-aware weighting: NY open and London open windows automatically boost sweep quality scores, reflecting the elevated institutional participation and displacement probability during these periods ATR-proportional sweep bands: zone width is normalized to current volatility rather than a fixed price offset, making the bands meaningful and comparable across instruments and timeframes 🔧 Core Components Swing Pivot Engine: Uses confirmed pivot highs and lows (configurable lookback, no future reference) as the baseline liquidity levels that sweeps are measured against ATR Wick Classifier: Measures wick extension beyond the pivot in ATR units — only wicks meeting the minimum ATR multiplier threshold qualify as candidate sweeps Volume Z-Score Filter: Computes a rolling 20-bar volume z-score and requires a minimum threshold for sweep confirmation, ensuring volumetric participation is present Reaction Quality Scorer: Evaluates five independent binary factors (volume spike, wick dominance, close-back strength, HTF alignment, session context) and sums them into a 0–5 score SweepEvent State Machine: Tracks each qualified sweep as an open event and evaluates price behavior in subsequent bars to classify the outcome as continuation, reclaim, or failure HTF Bias Layer: Pulls the higher-timeframe EMA via request.security with lookahead_off and uses it both as a visual reference line and as a quality scoring input 🔥 Key Features Quality Score Labels (★N/5): Displayed directly on the sweep bar — configure the minimum score required before outcome labels are generated to control label density Dynamic Sweep Bands: ATR-proportional boxes extend forward from each sweep event, visually marking the reaction zone for the configured number of bars Outcome Classification Labels: ▶ CONT fires when price moves ≥1 ATR in the sweep direction; ↩ RECLAIM fires on a clean close-back to the level; ✕ FAIL fires when price closes back through the swept level in the opposite direction Session Window Boost: NY and London open session windows are fully configurable — sweeps occurring in these periods receive an automatic score boost reflecting higher institutional participation probability Live Info Table: Top-right table shows current HTF bias direction, session status, volume z-score, and ATR at a glance without cluttering the main chart 4 Alert Conditions: Bull Sweep Detected, Bear Sweep Detected, High-Quality Bull Sweep, High-Quality Bear Sweep — all configurable with full message context including ticker, interval, and score 🎨 Visualization Sweep Bands: Teal boxes for bull sweeps (below swing lows), red boxes for bear sweeps (above swing highs) — width is ATR × 0.3, extending forward for the configured bar count HTF Bias Line: Thin EMA line at the higher-timeframe price level — teal when HTF is bullish, red when bearish — provides macro directional context without cluttering the overlay Quality Score Labels: ★N/5 displayed below/above the sweep bar in the band color — immediately readable quality assessment at the event bar Outcome Labels: ▶ CONT (teal), ↩ RECLAIM (orange), ✕ FAIL (red) — placed at the bar where the post-sweep condition resolves, offset from price to avoid overlap Sweep Signal Markers: Small triangles below (bull) and above (bear) the sweep bar — visible in the data window and usable as alert sources 📖 Usage Guidelines Sweep Detection Pivot Lookback Default: 10 | Range: 3–50 Bars left and right used for swing high/low confirmation. Higher values = fewer but more significant pivots. ATR Length Default: 14 | Range: 1–100 ATR period for wick size normalization and band width calculation. Min Sweep Size (ATR×) Default: 0.5 | Range: 0.1–5.0 Minimum wick extension beyond the pivot level, expressed as an ATR multiple. Increase to filter out smaller, less significant sweeps. Volume Z-Score Min Default: 1.0 | Range: 0.0–4.0 Minimum rolling volume z-score required to qualify a sweep. Set to 0 to disable volume filtering; increase to 1.5–2.0 for more selective confirmation. Max Active Zones Default: 20 | Range: 5–50 Maximum number of sweep zones displayed simultaneously. Older zones are automatically removed when the cap is reached. HTF Bias Enable HTF Bias Default: On Enables the higher-timeframe EMA calculation and bias line overlay. HTF Timeframe Default: 240 (4H) Timeframe used for the bias EMA. Select a timeframe at least 4× higher than your chart timeframe for meaningful macro context. HTF EMA Length Default: 50 | Range: 5–200 EMA length applied to the higher-timeframe close. Shorter values react faster but may produce more noise. Reaction Scoring Show Quality Score Default: On Displays the ★N/5 score label at each sweep bar. Min Score to Label Default: 3 | Range: 1–5 Only sweeps meeting or exceeding this score will generate CONT / RECLAIM / FAIL outcome labels. Set to 4–5 for highly selective labeling; set to 1–2 for broader coverage. Session Weighting Session Weighting Default: On Enables the session-context factor in the quality score. NY / London Open Windows Default: 09:30–11:00 / 03:00–05:00 (Exchange time) Configure to match your broker’s session hours or your preferred high-participation windows. Session Score Boost Default: 1 | Range: 0–2 Points added to the quality score when a sweep occurs within an active session window. ✅ Best Use Cases Identifying high-conviction sweep events during NY or London open as potential reversal or continuation setups Filtering out low-quality sweeps (★1–★2) from higher-quality displacement events (★4–★5) when making context decisions Confirming breakout or breakdown levels: a ▶ CONT label after a sweep in the HTF bias direction is a strong structural confirmation signal Trap identification: ✕ FAIL labels at bear sweeps above resistance during a bullish HTF bias flag probable bull traps Multi-timeframe confluence: use LSRG on the 1H or 4H with a 1D HTF bias to identify sweeps that align with daily structure ⚠️ Limitations LSRG is a context and confirmation layer — it is not designed or tested as a standalone entry system and should always be used alongside price action analysis The five-factor quality score is rule-based and does not adapt to regime shifts; high-volatility news events can produce inflated volume z-scores that temporarily override the filter Volume data quality varies significantly across exchanges and brokers — results on instruments with low or synthetic volume (e.g., some CFDs) will be degraded Pivot lookback creates an inherent delay equal to the lookback period — sweep detection fires at the close of the pivot confirmation bar, not in real-time as the wick forms HTF bias reflects EMA trend direction, not immediate momentum — it may lag during sharp reversals 💡 What Makes This Unique Quality scoring at sweep detection: No other public sweep tool evaluates five independent factors at the event bar and displays a composite score — this is the primary differentiator from liquidity level overlays Automated outcome classification: The CONT / RECLAIM / FAIL label system resolves post-sweep behavior automatically, giving traders a structured outcome framework without manual tracking Session-aware quality weighting: Sweep events during NY and London opens receive elevated scores reflecting historical institutional participation patterns — a rarely implemented but highly relevant context factor 🔬 How It Works 1. Pivot-based liquidity mapping: Swing highs and lows are confirmed using ta.pivothigh() and ta.pivotlow() with configurable left/right lookback. These represent the most recent confirmed liquidity pools above (swing highs) and below (swing lows) current price. All sweep measurements reference these confirmed levels. 2. Sweep detection and volume confirmation: A bull sweep fires when price wicks below the most recent swing low by at least the ATR minimum threshold and closes back above it in the same bar, with volume z-score meeting the configured minimum. The symmetric condition applies for bear sweeps above swing highs. This combination of price and volume criteria filters out low-participation wick extensions. 3. Five-factor quality scoring: At each confirmed sweep bar, five binary factors are evaluated independently: (1) volume z-score exceeds threshold + 0.5 for a strong spike, (2) wick size exceeds body size by at least 2× indicating a rejection candle, (3) close-back retracement is ≥ 0.5 ATR above/below the swept level, (4) HTF bias aligns with the sweep direction, (5) sweep occurs within an active session window. Each true factor adds one point to a 0–5 score (capped at 5 including any session boost). 4. Band drawing and zone management: Qualified sweep events generate an ATR-proportional box extending forward from the sweep bar for the configured number of bars. Boxes are tracked in an array capped at the Max Active Zones setting — oldest zones are automatically deleted when the cap is reached, preventing chart object accumulation. 5. Post-event classification: Each sweep above the minimum score threshold is registered as an open SweepEvent. After a configurable offset period, price behavior is evaluated each bar: continuation fires if price moves ≥1 ATR in the sweep direction past the swept level; reclaim fires on a clean close-back; failure fires when price closes through the level in the opposite direction. Events that remain unresolved for more than 50 bars are automatically expired. 💡 Note: LSRG measures the structural quality of liquidity sweep events. It does not predict price direction with certainty, and quality score thresholds should be calibrated to the instrument and timeframe being traded. All outcome labels are based on defined price conditions — they describe what happened structurally, not what will happen next. Use as one input in a broader analytical framework. All content provided by PhenLabs is for informational and educational purposes only. Past performance does not guarantee future results.
อินดิเคเตอร์ Pine Script®
โดย PhenLabs
Order Block Sniper | AlphaScript🔷 AlphaScript OB Sniper | Order Block Detection 🔷 Order Block Sniper is a systematic Smart Money Concepts (SMC) tool designed to identify, track, and manage bullish and bearish Order Blocks (OBs) in real time. It focuses on detecting high-probability supply and demand zones using confirmed pivot structures, while filtering out weak setups through volatility and volume conditions. 📊 What it does This indicator helps you: -Detect bullish (demand) and bearish (supply) order blocks -Visualize active OB zones directly on the chart -Track when price returns to (tests) an order block -Automatically remove invalidated (mitigated) zones -Highlight key events such as: -OB formation -OB retests -OB mitigation ⚙️ How it works -Order Blocks are identified using confirmed pivot highs/lows (non-repainting logic) -A valid OB is formed when price shows a directional shift with imbalance characteristics -Filters can be applied to improve quality: -ATR filter → removes weak/small zones -Volume filter → validates participation strength -Each OB is tracked as an active zone until: -Price re-enters it (test) -Or invalidates it (mitigation) Mitigation modes: Close → zone invalidated on candle close beyond it Wick → zone invalidated on any wick penetration 🎯 How to use it This tool can be used to: -Identify high-probability reaction zones -Anticipate retests of supply/demand areas -Structure entries around institutional zones -Avoid trading in low-quality areas Typical approach: -Look for price returning into a bullish OB → potential long reaction -Look for price returning into a bearish OB → potential short reaction -Use OB midpoint as a refined execution level -Combine with trend or momentum tools for confirmation ⚙️ Customization -Pivot sensitivity (OB detection strength) -ATR and volume filters -Maximum number of active OBs -Bullish / bearish colors and styling -Midline display and labeling -Formation and retest signals 📈 Key advantages -Non-repainting detection using confirmed pivots -Strong noise filtering (ATR + volume) -Automatic lifecycle management of OB zones -Clear visualization of institutional supply and demand -Works across multiple markets and timeframes 🔔 Signals & Alerts -Bullish / Bearish OB formation -Price entering an OB (retest) -OB mitigation (zone invalidated) 🧠 AlphaScript Integration OB Sniper is designed to integrate into a broader systematic trading framework, where structure, trend, and volatility work together to improve execution and consistency. 📝 Notes This indicator is a decision-support tool, not a standalone strategy. Best results come from combining it with proper risk management, market structure analysis, and a disciplined trading approach. To explore our AI-powered trading system and indicator development platform, visit: alphascript.co
อินดิเคเตอร์ Pine Script®
โดย AlphaScript
1
Multi-Pool Liquidity Confluence Scorer [MarkitTick]💡 Multi-dimensional analytical tool designed to track, evaluate, and trade liquidity sweeps across various temporal market structures. Rather than relying on a single structural anomaly, this indicator aggregates data from macro levels, micro swing pivots, volume dynamics, and momentum shifts to generate high-probability market context. By evaluating price action against algorithmic thresholds and institutional reference points, it removes the subjectivity from liquidity-based trading methodologies. ✨ Originality and Utility ● A Paradigm Shift in Liquidity Analysis Standard liquidity indicators merely draw static lines at historical highs and lows. The Multi-Pool Liquidity Confluence Scorer introduces a dynamic grading system that quantifies the quality of a sweep. This utility is entirely original in its approach to synthesizing structural components—such as Fair Value Gaps (FVGs), Relative Volume (RVOL), and time-of-day sessions—into a singular actionable metric. ● The Confluence Scoring Engine What sets this tool apart is its objective scoring architecture. It does not just alert when a Previous Day High is breached; it evaluates how it was breached. Did the sweep occur during the high-liquidity London or New York sessions? Was it accompanied by a surge in relative volume? Did the subsequent price action leave behind institutional footprints like a Fair Value Gap? By assigning weighted points to these phenomena, the indicator filters out low-probability noise and isolates premium market reversals. 🔬 Methodology and Concepts ● Multi-Timeframe Liquidity Aggregation The core methodology relies on establishing a matrix of vulnerability. The indicator maps out the Previous Daily Highs/Lows (PDH/PDL) and Previous Weekly Highs/Lows (PWH/PWL), alongside dynamic swing pivots. These act as magnetic pools of resting orders (stops and breakout entries). ● Sweep Detection and Tolerance A true sweep is defined mechanically: price must pierce the liquidity level (wicking above/below) but fail to sustain that momentum, ultimately closing back inside the range. To account for market noise, the script utilizes an Average True Range (ATR) multiplier to create a "Cluster Range," allowing it to detect sweeps that marginally miss or slightly overshoot exact historical levels. ● Change in State of Delivery (CISD) A sweep alone is insufficient. The indicator mandates a CISD confirmation within a user-defined window of bars. For a bullish setup, after a sell-side sweep, the price must break above a recent swing high, ideally with significant displacement (large body size or the creation of a bullish FVG). This confirms that the market-makers have actively repriced the asset after absorbing the liquidity pool. 🎨 Visual Guide ● Reference Lines and Levels Orange Dashed Line: Represents the Previous Day High (PDH). Blue Dashed Line: Represents the Previous Day Low (PDL). Solid Orange/Red Line: Represents the Previous Week High (PWH). Solid Cyan Line: Represents the Previous Week Low (PWL). Gray Dotted Lines: Track the recent internal Swing Highs and Swing Lows based on the lookback memory. ● Sweep and Risk Visualization Dashed Highlight Boxes: Appear immediately when a sweep is detected. The color dynamically shifts based on the preliminary score (Yellow for Basic, Orange for Good, Pink/Red for Premium). Yellow Background Zones: Highlight the exact Fair Value Gaps (FVG) that validate the momentum shift during the CISD phase. Solid Risk Boxes: Drawn upon signal confirmation, mapping the exact risk parameter from the entry price down to the stop loss. ● Interactive Data and Dashboards Signal Labels: Print "BUY" or "SELL" along with the qualitative rating (BASIC, GOOD, PREMIUM) directly on the chart. Data Block Text: A monospace text block prints next to the entry, detailing the exact Entry Price, Stop Loss, and all three Take Profit (TP) targets. On-Screen Dashboard: A table anchored to the corner of the chart tracks the real-time status of all macro levels (Intact vs. Swept), active sweep statuses, current live score, session data, and the macro EMA trend alignment. 📖 How to Use ● Identifying High-Probability Reversals Wait for the indicator to identify a sweep of a major level. Do not enter immediately. Observe the chart as the indicator waits for the CISD confirmation. A signal is only generated when the market structures break in the opposite direction of the sweep and the aggregated score meets your minimum threshold. ● Executing and Managing the Trade Once a valid signal (Buy/Sell Label) prints, the indicator projects the exact entry parameters. You can choose to enter at the market close of the signal bar, or utilize the FVG Limit Entry feature to wait for a retracement into the newly formed imbalance. The drawn lines provide strict Risk-to-Reward targets (TP1, TP2, TP3) scaled against your Stop Loss. ● Predictive Zone Targeting If the market is trending, use the "Predictive Target Zones" feature. The indicator looks ahead to un-swept liquidity pools above or below current price action, scores them based on their confluence, and draws projected boxes on the right side of the chart. These act as ideal locations for taking final profits or anticipating the next major market reaction. ⚙️ Inputs and Settings ● Liquidity Levels & Sweep Detection Show Previous Day/Week H/L: Toggles the visibility of macro time-frame reference points. Swing Detection Length: Adjusts the sensitivity of the pivot highs and lows. Lower numbers find more micro-structure, while higher numbers find major structural swings. Cluster Range (ATR multiplier): Defines the spatial tolerance around a line. Price does not need to hit it to the exact tick; it must simply enter this ATR-defined boundary. CISD Window: The maximum number of bars allowed after a sweep for the market to prove a reversal by breaking structure. ● Confluence Scoring Engine Minimum Score to Generate Signal: The gatekeeper setting. Increase this number (e.g., to 7+) to only receive "Premium" setups, drastically filtering out noise at the expense of trade frequency. Volume Bonus: Awards extra points if the sweep occurs on a volume spike exceeding the RVOL threshold. Session Bonus: Awards points if the sweep aligns with the high-volume London or New York macroeconomic windows. ● Signal & Trade Mechanics Target (R:R) Multipliers: Defines the exact risk-to-reward ratios for TP1, TP2, and TP3 based on the distance between the entry and the stop loss. Enable Trend Filter (EMA): When activated, Buy signals are strictly ignored if price is below the macro EMA, and Sell signals are ignored if above, aligning setups with the broader directional bias. 🔍 Deconstruction of the Underlying Scientific and Academic Framework ● Market Microstructure and Liquidity Theory The foundational logic of this script is anchored in the continuous double auction mechanism of modern financial markets. Large participants (institutional entities) cannot execute significant block orders without heavily impacting the price (slippage). To mitigate this, they must seek areas of high counter-party liquidity. In market microstructure theory, local extrema (such as previous day highs or visible swing lows) act as aggregation nodes for stop-loss orders. A stop-market order on a short position becomes a buy-market order when triggered. The indicator detects when these nodes are breached (the sweep) and identifies the immediate absorption of those orders. ● Volatility-Adjusted Spatial Grouping Rather than utilizing fixed percentage bands or static tick offsets, the script employs the Average True Range (ATR) to establish dynamic clustering around reference points. The ATR is a measure of the decomposed variance of an asset's price over time. By multiplying the ATR by a fractional coefficient (inClusterPct), the script creates a mathematically sound confidence interval around historical levels. This adapts to heteroskedastic market conditions, ensuring that "near misses" in highly volatile environments are correctly categorized as liquidity tests. ● Mean-Reverting Volume Dynamics The scoring engine utilizes a simple but effective statistical anomaly detection method for trading volume: Relative Volume (RVOL). By comparing the current bar's volume against a Simple Moving Average (SMA) of historical volume, it normalizes the data. When the volume deviates significantly from the mean during a sweep event (exceeding the inRvolThresh), it mathematically confirms anomalous participation. In academic finance, abnormal volume at price extremes is highly correlated with institutional capitulation or aggressive liquidity absorption, reinforcing the mean-reverting premise of the generated signals. ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
อินดิเคเตอร์ Pine Script®
โดย MarkitTick
MNM Market Narrative Map [v6]Market Narrative Map (Clean) is a multi-component market structure indicator designed to help traders read price action in a cleaner, more organized way. It maps the story of the market by combining swing structure, supply and demand zones, breakout behavior, liquidity activity, trend flow, and volume-weighted visual emphasis into one streamlined tool. The indicator is built for traders who want more than isolated signals. Instead of focusing on a single condition, it helps frame the full market narrative: where price has turned before, where it may react again, whether a breakout is holding or failing, where liquidity may sit, and how momentum is evolving through the ribbon structure. Core Features 1. Swing Highs and Swing Lows Automatically detects structural pivot points to highlight important turning areas in price. These swing points help define trend continuation, reversals, and key reaction levels. 2. Supply and Demand Zones Plots adaptive zones around confirmed pivot highs and lows to show likely areas of resistance and support. Zone thickness is volatility-aware, helping the script stay relevant across different market conditions. 3. Breakout Classification Separates successful breakouts from failed breakouts using confirmation logic. This helps distinguish genuine expansion from fakeouts and weak participation. 4. Liquidity Mapping Optional liquidity pool tracking at swing levels helps identify areas where price may seek stops, trigger sweeps, or reverse after clearing obvious highs and lows. 5. Money Noodle Ribbon A clean trend ribbon built around smoothed price structure. It helps visualize directional flow, slope change, and trend continuity without cluttering the chart. 6. Breaker Blocks from Failed Breaks When enabled, failed breakout zones can be projected as breaker blocks, giving traders additional context for future reactions and retests. 7. Volume Weighting Visual zone emphasis can be adjusted based on relative volume, making stronger activity areas stand out more clearly. Why Use It This indicator is useful for traders who want a more complete market map instead of relying on isolated indicators. It can assist with: Identifying key structural highs and lows Locating likely supply and demand reaction zones Spotting breakout continuation versus failed expansion Tracking potential liquidity sweep areas Reading short-term trend flow more clearly Keeping chart analysis clean and visually organized Best Use Case Market Narrative Map works best as a chart-reading and decision-support tool. It is especially useful for traders who combine market structure, liquidity concepts, breakout behavior, and contextual price action in their analysis. It is not designed to replace trade management or risk management. Instead, it provides a cleaner structural framework so traders can make better-informed decisions based on how price is behaving. Design Philosophy The script is built with a clean-chart approach in mind. Every major module can be enabled or disabled, allowing traders to keep the chart minimal or expand it into a more complete structural map depending on preference.
อินดิเคเตอร์ Pine Script®
โดย CptRedd
Smart Money: Auto Order Blocks [identityKa]Overview The Smart Money: Auto Order Blocks is a professional-grade volume and structural mapping tool designed for SMC (Smart Money Concepts) traders. Order Blocks represent areas where large financial institutions have accumulated significant buy or sell positions. Unlike basic pivot indicators that leave cluttered lines on the chart indefinitely, this script introduces a Smart Mitigation Engine that automatically tracks the validity of these institutional zones in real-time. Core Mechanics & Detection The algorithm uses pivot sensitivity to locate origin points of major market imbalances: Bearish Order Blocks (Supply): Detected at the absolute high of a structural swing before a major downward move. The box is drawn from the wick's high to the highest candle body in that cluster, encapsulating the entire institutional sell zone. Bullish Order Blocks (Demand): Detected at the absolute low of a structural swing before a major upward move. The box encapsulates the wick's low up to the lowest candle body. The Smart Mitigation Engine A fundamental rule of SMC is that once an Order Block is fully pierced and the price closes beyond it, the institutional orders within that zone are considered filled or "Mitigated." This script constantly monitors the closing price. If a candle strictly closes above a Bearish OB, or strictly below a Bullish OB, the algorithm mathematically invalidates the zone. Upon mitigation, the box is instantly deleted from the chart, ensuring that only "Fresh" and highly reactive unmitigated zones are visible to the trader. This keeps the workspace incredibly clean. HUD Dashboard & AI Logic The on-chart intelligence panel evaluates the proximity of the live price to the active Order Blocks: Dangerous: Displayed actively whenever the current live price is trading inside the coordinates of an unmitigated Order Block. This serves as a warning that the price is in an institutional high-friction area where sharp rejections and high volatility are imminent. LONG / SHORT: The engine tracks the macro bias based on the last mitigation event. If a Bearish OB was broken upwards (invalidated resistance), the macro bias shifts to LONG. If a Bullish OB was broken downwards, the bias shifts to SHORT. How to Use It This tool provides exceptional context for trade entries. When the AI Suggestion reads "LONG," traders should patiently wait for the price to pull back into a green Bullish OB zone. Once the price enters the zone (triggering the "Dangerous" state), traders can drop to a lower timeframe (e.g., 5-minute) to spot a micro-reversal pattern before executing a trade aligned with the macro trend.
อินดิเคเตอร์ Pine Script®
โดย IdentityKa
4
Liquidity Magnet Zones [identityKa]Overview The Liquidity Magnet Zones is an advanced Smart Money Concepts (SMC) indicator that identifies and manages unmitigated pools of liquidity. Institutional algorithms gravitate toward liquidity to fill large orders. This script mathematically plots these high-probability areas—Buy Side Liquidity (BSL) and Sell Side Liquidity (SSL)—and actively manages them, deleting zones the moment they are "swept" to keep the chart clean and relevant. Core Mechanics: BSL & SSL Detection The engine uses pivot point analysis to map market extremes: Buy Side Liquidity (BSL): Formed at major structural highs. Retail traders typically place stop-losses (buy-to-cover orders) above these highs. The script identifies these unmitigated peaks and draws a dashed line projecting into the future. Sell Side Liquidity (SSL): Formed at major structural lows. Retail traders place sell-stop orders below these lows. The script tracks these valleys as magnetic targets for price action. Smart Mitigation (The Sweep Engine) Unlike static drawing tools, this indicator constantly evaluates the live price against the drawn liquidity zones. If a candlestick wick or body pierces a BSL or SSL line, the liquidity is considered "Swept" (mitigated). The script instantly removes the line from the chart, triggering a real-time alert that institutional orders have likely been absorbed, opening the door for a structural reversal. HUD Dashboard & Post-Sweep AI Logic The integrated on-chart panel evaluates the structural bias based on the most recent liquidity event: Dangerous: Displayed actively while the price is piercing and sweeping a liquidity line. This warns traders that extreme volatility is present as stop-losses trigger, making it highly risky to enter breakout trades. SHORT: Triggered after BSL has been swept. SMC logic dictates that Smart Money forces price upward to trigger buy-stops, providing the necessary liquidity to execute large sell orders. Therefore, the post-sweep bias becomes Bearish (SHORT). LONG: Triggered after SSL has been swept. Smart Money forces price downward to trigger sell-stops, allowing them to accumulate buy orders. The post-sweep bias becomes Bullish (LONG). How to Use It This tool is designed for reversal and mitigation trading, not breakout trading. Do not blindly place limit orders at BSL or SSL lines. Instead, wait for the price to hit the line (AI Suggestion reads "Dangerous"). Drop to a lower timeframe (e.g., 1m or 5m) and look for a Change of Character (CHoCH) confirming that Smart Money is indeed reversing the trend after engineering liquidity.
อินดิเคเตอร์ Pine Script®
โดย IdentityKa
2
Auto Fair Value Gap (FVG) Pro [identityKa]Overview The Auto Fair Value Gap (FVG) Pro is an essential Smart Money Concepts (SMC) tool engineered to detect and highlight institutional price imbalances. An FVG occurs when strong momentum creates a gap in price delivery, leaving an inefficiency between buyers and sellers. This script mathematically identifies these 3-bar structures in real-time, plotting them as dynamic zones. It goes a step further by offering automated chart mitigation (cleaning) and plotting the highly sought-after 50% Consequent Encroachment (CE) level. Core Detection & Mitigation Mechanics The algorithm evaluates price action strictly based on a 3-candle sequence: Bullish FVG (Demand Imbalance): Identified when the Low of the 3rd candle is strictly higher than the High of the 1st candle, and the 2nd candle is bullish. This creates an unmitigated gap of buy-side liquidity. Bearish FVG (Supply Imbalance): Identified when the High of the 3rd candle is strictly lower than the Low of the 1st candle, and the 2nd candle is bearish. This creates a sell-side imbalance. Smart Mitigation (Wick vs. Close): The script allows the user to define what constitutes a "filled" gap. In "Wick" mode, the gap is instantly deleted from the chart the moment a subsequent candle's wick sweeps through the zone. In "Close" mode, the gap remains active until a candle's body strictly closes inside or beyond the zone, ensuring the chart stays clean and only relevant institutional targets remain visible. The Consequent Encroachment (50% CE) Institutions frequently target the exact middle of an imbalance. By default, this script draws a dashed line at the exact 50% mathematical equilibrium of every active FVG box. This serves as a precise entry point or target for advanced SMC traders. HUD Dashboard & AI Logic The integrated panel provides an instant read on the imbalance bias and risk state: Dangerous: Displayed whenever the current live price action enters an active FVG zone. This signifies that the gap is actively being filled and high volatility is expected as orders are absorbed. LONG: Triggered when the last detected FVG was Bullish, indicating that recent institutional momentum was upward and unmitigated demand zones lie below as support. SHORT: Triggered when the last detected FVG was Bearish, indicating a dominance in sell-side momentum. How to Use It This tool is exceptionally powerful for Price Action trading, particularly on 15-minute and 1-hour timeframes where intraday institutional gaps frequently occur and are reliably filled. Traders should not blindly buy or sell when an FVG forms. Instead, use the FVG boxes as high-probability reversal zones. When the AI Suggestion reads "Dangerous" (price is inside the gap), monitor the price action on a lower timeframe. Wait for a rejection from the box—specifically near the 50% CE dashed line—before executing a trade in the direction of the macro trend.
อินดิเคเตอร์ Pine Script®
โดย IdentityKa
Market Structure (ChoCh & BOS) [identityKa]Overview The Market Structure (CHoCH & BOS) is a premium Smart Money Concepts (SMC) indicator designed to automatically track institutional market flow. Unlike basic structural indicators that only draw horizontal lines, this advanced engine identifies the precise moment the market bias shifts (CHoCH) or continues (BOS), and instantly plots the originating Order Block (OB) from which the structural break was initiated. Core Mechanics & Terminology The algorithm maps the market using strict pivot logic (customizable sensitivity) to filter out market noise and focus on true liquidity sweeps: Change of Character (CHoCH): The first definitive sign of a trend reversal. Triggered when the price strictly closes above the last structural lower-high (in a downtrend) or below the last structural higher-low (in an uptrend). Break of Structure (BOS): A continuation signal. Triggered when the price strictly closes above the last higher-high (in an uptrend) or below the last lower-low (in a downtrend), validating that the current trend remains dominant. Auto Order Blocks (OB): This is the premium feature of the script. Whenever a valid BOS or CHoCH occurs, the engine mathematically traces back to the extreme pivot candle that caused the break. It automatically draws a highlighted Order Block zone (from the high to the low of that specific candle), projecting it forward as a highly probable area of future institutional mitigation. HUD Dashboard & AI Logic To streamline SMC trading, the integrated on-chart panel evaluates the active market structure and outputs a mechanical state: Dangerous: Displayed whenever the current live price action enters an active, unmitigated Order Block (OB) zone. This acts as a critical warning that price is in a high-friction institutional area, and a violent rejection or bounce is imminent. Standard continuation trades should be avoided here. LONG: Triggered when the macro bias is Bullish (last break was a Bullish CHoCH or BOS) and the price is comfortably outside of any active Order Block zones. SHORT: Triggered when the macro bias is Bearish and the price is cleanly trending outside of active resistance zones. How to Use It for Maximum Precision SMC traders rely on patience and mitigation. When the indicator prints a new CHoCH or BOS, do not enter immediately. Instead, wait for the AI Suggestion to switch to "Dangerous" as the price pulls back into the newly formed Order Block. Once inside the box, drop to a lower timeframe to look for a micro-CHoCH confirmation, and execute your trade in the direction of the macro bias (LONG or SHORT) for explosive risk-to-reward ratios.
อินดิเคเตอร์ Pine Script®
โดย IdentityKa
Auto Dynamic S/R Zones Pro [identityKa]Overview The Auto Dynamic S/R Zones Pro is a structural Price Action utility that automatically identifies, draws, and manages Supply (Resistance) and Demand (Support) liquidity zones. Unlike traditional pivot indicators that draw single horizontal lines, this script constructs volumetric "boxes" to represent areas of historical institutional interest. Furthermore, it incorporates a Smart Mitigation Engine that automatically cleans the chart by deleting zones once they have been functionally broken or fully mitigated by price action. Core Zone Calculation Methodology The script utilizes historical pivot detection (ta.pivothigh and ta.pivotlow) based on a user-defined lookback/lookforward sensitivity. Once a structural extreme is found, the engine calculates the boundaries of the zone to capture the entire rejection area rather than just the wick tip: Resistance Zones (Supply): The top of the box is anchored to the absolute high of the pivot candle. The bottom of the box is calculated using the maximum value between the open and close of that same candle (capturing the wick-to-body spread). Support Zones (Demand): The bottom of the box is anchored to the absolute low of the pivot candle. The top of the box is calculated using the minimum value between the open and close (capturing the lower wick-to-body spread). The Smart Mitigation Engine (Chart Cleanup) To prevent chart clutter and outdated data, the script utilizes dynamic arrays to manage the drawn boxes. The script continuously monitors the closing price relative to all active zones. If a candlestick closes strictly above the upper boundary of a Resistance box, or strictly below the lower boundary of a Support box, the zone is mathematically considered "Mitigated" (broken). Upon mitigation, the script instantly deletes the box and its associated label from the chart history, firing a breakout alert and leaving only fresh, untested zones visible. HUD Dashboard & AI Logic The integrated on-chart panel evaluates the immediate relationship between the current price and the active S/R arrays: Dangerous: Triggered whenever the current closing price is actively printing inside the coordinates of any active Support or Resistance box. This indicates price is in a high-friction decision zone where rejections are highly probable. LONG / SHORT: The engine tracks the most recent structural breakout. If the last mitigated zone was a Resistance, it adopts a "LONG" bias indicating bullish structure. If the last mitigated zone was a Support, it adopts a "SHORT" bias indicating bearish structure, provided the price is not currently stuck inside another zone. How to Use It This indicator simplifies top-down analysis. Traders can use a higher timeframe (e.g., 1H or 4H) to let the script automatically map out major untested supply and demand zones. When the price enters an active zone (triggering the "Dangerous" AI state), traders can drop to a lower timeframe to look for reversal patterns. Alternatively, traders can trade the momentum of the breakouts by setting alerts for when a zone is officially broken/mitigated.
อินดิเคเตอร์ Pine Script®
โดย IdentityKa
Institutional Rejection WicksOverview The Institutional Rejection Wicks indicator helps SMC and ICT traders identify true Liquidity Sweeps. It filters out random wicks, only highlighting extreme price rejections that are backed by a massive spike in institutional trading volume. How to Read the Signals Bullish Sweeps (Green): A deep bottom wick on high volume. Acts as a strongly defended Rejection Block and support zone. Bearish Sweeps (Red): A large top wick on high volume. Indicates trapped retail liquidity and heavy institutional resistance. Dynamic Defense Lines When a high-volume rejection happens, the script draws a precise Defense Line right from the tip of the wick. This marks the exact liquidity pool being protected. If price eventually closes past this line (breaking the defense), the line is automatically deleted from your chart so you are never staring at broken support levels. Core Features Volume Anomaly Filter: Ignores normal wicks; only triggers when volume eclipses the average. Wick Constraints: Customize the required wick size (e.g., >60% of the candle) to filter out weak setups. Aesthetic Choices: Highlight sweeps with clean icons, painted bars, or both. Scalper Focused: Auto-hides on higher timeframes to keep your macro charts clutter-free.
อินดิเคเตอร์ Pine Script®
โดย archiedurrant
Institutional Session Volume ProfileOverview The Institutional Session Volume Profile helps traders filter out market noise by separating intra-session volume into two visual categories: Committed and Apathy. This makes it easy to spot where real volume is stepping in versus where price is just chopping around. How to Read the Profile Committed Volume (Dark Grey): Indicates heavy, decisive volume. These areas act as strong support or resistance walls. Apathy Volume (Light Grey): Indicates choppy, light volume with no real direction. Price tends to move very quickly through these empty zones. Core Features Dynamic POC Tracking: Pinpoints the exact price level with the highest volume in the session. 4 Custom Sessions: Easily set up your exact trading hours for different global markets. Smoothed Graphics: A clean, easy-to-read "mountain" visual. Tip: Right-click the indicator name -> Visual Order -> Send to Back to tuck profiles cleanly behind your candles.
อินดิเคเตอร์ Pine Script®
โดย archiedurrant
Gold Master Hybrid V1 UltraGold Master Hybrid V1 Ultra - The Ultimate Multi-Confluence Trading System Welcome to the Gold Master Hybrid V1 Ultra, a state-of-the-art, all-in-one trading indicator engineered strictly for serious traders. Built upon a robust 8-Point Multi-Confluence Engine, this indicator bridges the gap between traditional momentum oscillators and modern institutional Smart Money Concepts (SMC). Whether you are a day trader looking for precise intraday entries or a swing trader aiming to ride massive trend waves, the Gold Master Hybrid acts as your personal, noise-filtering trading assistant. It doesn't just give you raw buy and sell arrows; it evaluates the entire market spectrum—from volatility and volume to deeply embedded institutional price action—before calculating dynamic, mathematically sound targets. The Core Philosophy The financial markets are filled with noise. Most standard indicators fail because they evaluate only one dimension of the market (like momentum or trend) and end up printing false signals during ranging or choppy environments. The Gold Master V1 Ultra solves this by requiring actual "Confluence". Before any signal is generated, our proprietary engine interrogates the market using eight distinct parameters. Only when the absolute majority of these stars align does the indicator grant a "Confirmed Signal." The Engine - 8 Point Multi-Confluence The core of the indicator assigns a Score (out of 8) to every single candle based on the following criteria. It asks 8 strict questions: 1. Price vs EMA: Is the current Close Price trading above the fast EMA 9? This ensures short term momentum is heavily in our favor. 2. Moving Average Trend Validation: Has the EMA 9 crossed above the EMA 21 (Bullish Cross)? This validates a structural shift in momentum. 3. Macro Trend Filter: Is the current asset trending above the 50-period Simple Moving Average? We never want to trade against the medium-term trend. 4. RSI Strength: Is the Relative Strength Index (RSI 14) residing in the "Healthy Bullish" zone (between 50 and 70)? If it is below 50, it is weak. If it is above 70, it is overbought. The sweet spot is 50 to 70. 5. MACD Confirmation: Is the MACD line actively leading above its Signal line? 6. Stochastic Filter: Is the Stochastic %K line crossing above the %D line while explicitly avoiding the "Overbought" (>80) extreme? 7. Institutional Volume Surge: Is the current volume surging to at least 1.5x the 20-period moving average volume? This detects big institutional involvement that is required to move the market. 8. SMC Trend Matrix: Is the broader Market Structure currently Bullish? Has it printed an upward Break of Structure recently? Signal Grading: - Strong Signal (Score >= 6): An incredibly high-probability setup where the trend, momentum, volume, and structure are perfectly synchronized. Printed as a prominent Triangle marker (Lime for BUY, Red for SELL). - Weak Signal (Score 4 or 5): A moderate continuation or early-warning setup. Printed as smaller triangles (Teal for Buy, Orange for Sell). Advanced Signal Noise Reduction We hate chart clutter. To keep your charts clean and your mind focused, the Gold Master V1 Ultra includes two built-in noise-canceling filters: Filter 1: Consecutive Confirmation Lock A signal condition must physically hold and mathematically close for two consecutive candles. This completely annihilates 1-candle fakeout spikes that ruin most strategies. Filter 2: Strict Cooldown Buffer Once a signal is printed, the indicator enters a strict 5-candle cooldown phase. During this time, it will completely ignore minor fluctuations and will not print duplicate signals of the same type. This ensures massive readability on any timeframe, avoiding the common issue of printing 5 arrows in a row during a ranging period. Integrated Smart Money Concepts (SMC) You no longer need five different indicators on your chart to find institutional levels. The Gold Master handles advanced institutional mapping automatically in the background: - Market Structure Pivot Labels: Automatically draws Higher Highs (HH), Higher Lows (HL), Lower Highs (LH), and Lower Lows (LL) so you never lose track of structure. - BOS & CHoCH: Dynamically plots Break of Structure and Change of Character lines to help you anticipate trend exhaustion or continuation without having to draw trendlines yourself. - Order Blocks (OB): Scans historical price action to plot highly accurate Bullish (Teal) and Bearish (Red) Order Block zones where banks left pending limit orders. - Fair Value Gaps (FVG): Instantly highlights market imbalances (FVG+ and FVG-) so you know exactly where price is likely to be magnetized next to fill liquidity voids. Dynamic Risk Management System (TP & SL) Stop guessing where to take profit or place your stop. The Gold Master Hybrid V1 Ultra utilizes a custom Average True Range (ATR) algorithm to auto-calculate your trade parameters the instant a Strong Signal appears. - Dynamic Stop Loss (SL): Placed at exactly 1.5x ATR away from the wick of the signal candle. It adapts to current market volatility to protect you from getting wicked out during high-impact news. - Take Profit 1 (TP1): Set at 2.0x ATR from your entry. Optimized for safe, high-win-rate scalps. - Take Profit 2 (TP2): Set at 3.5x ATR from your entry. Optimized for capturing the true meat of the trend. The Golden R:R Safety Protocol: Before drawing the SL/TP lines on your chart, the indicator internally calculates the Risk-to-Reward ratio. If the setup doesn't offer at least a 1:1.5 reward-to-risk ratio (based on historical volatility), the indicator completely hides the targets. It is effectively telling you: "This trade is too mathematically risky, skip it." This forces you to be a disciplined trader. The Command Center Dashboard At the corner of your chart (Top-Right by default, completely movable in the settings), sits your real-time Command Center. It aggregates all critical data from the indicator into one beautiful UI panel so you never have to look at subcharts: - Real-time Value Tracking: See the exact status of your EMA, RSI, MACD, and Volume. - Current Signal Score: Instantly know if the current candle is scoring a 3/8, 5/8, or a perfect 8/8 before the signal even fires. - Exact Pricing: Displays the precise price coordinates for TP1, TP2, and your SL so you can immediately copy them into your broker. - R:R tracking: See the exact live Risk-to-Reward ratio of the current setup. - Time Session Matrix: Know instantly if you are trading in the high-volume London, New York, or Asian session, or if you are in the dead hours. User Guide - How to Execute Trades 1. Reading the Macro Trend Background Look closely at the entire background color of your chart. The Gold Master will tint the background Teal if the absolute macro trend is Bullish, and Red if it's Bearish. Rule #1: Only take Strong BUY signals when the background is Teal. Never trade against the macro trend. 2. The Golden Setup (Finding Institutional Confluence) A Strong Signal alone is great. But a Strong Signal that prints exactly inside an auto-drawn Bullish Order Block or inside a Fair Value Gap (FVG+) is a "God-Tier" setup. You want to layer the confluences. If your Buy signal happens right as price touches the demand zone, that is your highest probability entry. 3. Wait for the Candle to Close Because the engine relies on a 2-candle confirmation filter, you must wait for the current candle to mathematically close before considering the signal valid. Do not enter a trade while the candle is still moving. Pro-Tip: Use TradingView's alert system and set the condition to "Once Per Bar Close" to let the indicator notify your phone automatically when a valid, locked-in signal has occurred. 4. Execution and SL/TP Placement When a Buy signal flashes and you take the trade, immediately look at the dashboard (or the lines drawn on the chart) and place your Stop Loss exactly where the red line tells you to. Place your Take Profit at the green TP1 or TP2 line depending on your risk appetite. Do not move your Stop Loss arbitrarily—the ATR calculation placed it there for a mathematical reason. 5. Customizing to Your Specific Asset Every asset breathes differently. Gold (XAUUSD) moves differently than EURUSD, which moves differently than Bitcoin. If you are trading extremely volatile Crypto, go into the indicator settings (click the gear icon next to the indicator name) and increase the "ATR Multiplier (SL)" from 1.5 to 2.0 to give your trades more breathing room. If you are scalping the 1-minute chart, you might want to reduce the TP1 multiplier to 1.5. You can customize every aspect visually from the settings menu without touching the code. 6. Dashboard Movement If the dashboard is blocking your view of current price action, click the gear icon settings for the indicator, go to the "Dashboard" section, and switch the "Dashboard Position" from Top Right to Top Left, Bottom Right, or Bottom Left. Conclusion The Gold Master Hybrid V1 Ultra is not a magic wand, but it is one of the strictest, most logical institutional trading systems available today. By forcing you to wait for 8 points of confluence, keeping your charts clean, calculating ATR-based risk management, and preventing you from taking terrible R:R trades, it physically forces you to trade like an institution rather than an emotional retail trader. (Disclaimer: Trading financial markets involves significant risk. The Gold Master Hybrid V1 Ultra is a highly advanced analytical tool designed to assist your decision-making, but it does not constitute financial advice. Always test strategies on a demo account before risking real capital.)
อินดิเคเตอร์ Pine Script®
โดย Gold_Trading_Expert
14
Rejection Blocks [UAlgo]Rejection Blocks is a market structure and supply demand overlay built to detect and manage rejection based zones that form after liquidity sweeps and structure shifts. The script tracks recent swing highs and swing lows, monitors for sweep style rejection candles around those swing levels, and then requires a confirmation break before registering a Rejection Block as an active zone. Each Rejection Block is visualized as an outer zone plus internal buy and sell strength segments that act like a compact sentiment map. The blocks extend forward over time, respond to mitigation and invalidation rules, and can optionally stop extending or be deleted after mitigation. The script also optionally draws structure annotations such as sweep markers and BOS or CHOCH lines to provide context for why a block formed. This indicator is designed as a complete zone lifecycle engine. It focuses on repeatable rule based detection, strict candle shape filtering for rejection quality, and robust object management so you can keep a clean chart while tracking the most relevant zones. 🔹 Features 1) Pivot Based Market Structure Tracking The engine uses pivot highs and pivot lows to identify the most recent swing high and swing low levels. These levels act as the structure references for: Sweep detection Break of structure detection Change of character detection Swing left bars and swing right bars control how strict the swing confirmation is. 2) Rejection Candle Validation with Sweep Logic A candidate Rejection Block begins with a sweep style candle at a swing level: Bullish rejection candle sweeps below the last swing low and closes back above it Bearish rejection candle sweeps above the last swing high and closes back below it Two sweep modes are available: Wick sweep (open and close inside) Any sweep (close inside) Min sweep distance in ticks can be required to avoid tiny micro sweeps. 3) Optional Candle Shape Filter for Quality Control When enabled, the script enforces a strict rejection candle profile using: Minimum wick to body ratio Minimum dominant wick percent of candle range Maximum opposite wick percent of candle range Maximum body percent of candle range This helps filter out candles that technically sweep but do not display rejection characteristics. 4) Close Location Filters Additional close filters can be applied: None Close in favorable half of the candle range Close beyond open This improves selectivity and allows you to tailor the definition of rejection strength. 5) Flexible Rejection Block Zone Models The zone that is stored and drawn for a Rejection Block can be defined in multiple ways: Wick to Body Open to Extreme Full Candle Body This allows alignment with different trading methodologies, from wick based reaction zones to body based execution zones. 6) Confirmation Window and Pending Candidates Rejection candles do not become active zones immediately. They enter a pending list and require confirmation within a defined window. Confirmation is achieved when price breaks the opposite structure level: Bullish candidate confirms when price breaks above the last swing high Bearish candidate confirms when price breaks below the last swing low If confirmation does not occur within the confirm window, the candidate expires. This prevents old sweeps from creating late zones. 7) Strength Segmentation Inside the Block Each active block contains: An outer zone box representing the full block range An inner buy strength box An inner sell strength box A cap line that marks the maximum inner width boundary Strength is estimated at formation time using one of two models: Close location Close plus wick Inner widths scale based on the computed buy and sell strengths, giving a quick visual of where pressure likely dominated inside the rejection candle. 8) Lifecycle Management: Extension, Mitigation, Invalidation, Aging Blocks are actively managed through their lifecycle: Extension Blocks extend to the right as time progresses. Mitigation Blocks can be marked mitigated by touch or by close inside. After mitigation, the block can optionally stop extending or be deleted. Invalidation Blocks can be invalidated by wick or by close beyond the block boundary, with optional deletion on invalidation. Aging Blocks can be removed after a maximum age in bars to keep the chart focused. 9) Structure Annotations: Sweep, BOS, CHOCH When enabled, the script draws contextual structure lines and labels: SW lines indicating swing sweep context BOS lines for continuation breaks CH lines for change of character A maximum line budget is enforced to respect object limits. 10) Robust Object Budgeting and Cleanup The engine enforces limits for: Maximum blocks Maximum pending candidates Maximum structure lines Old objects are deleted in a controlled way to avoid exceeding TradingView limits and to keep the most relevant zones visible. 🔹 Calculations 1) Candle Parts and Rejection Shape Metrics The script breaks each candle into components: Range Body size Upper wick Lower wick It then normalizes values by range and uses them for shape validation: Dominant wick is lower wick for bullish direction and upper wick for bearish direction Opposite wick is the other side Body percent is body divided by range A rejection candle passes shape checks when dominant wick is large enough relative to body, dominant wick percent exceeds a threshold, opposite wick percent stays below a threshold, and body percent stays below a threshold. 2) Sweep Validation Against Structure Level For bullish direction, sweep requires low to trade below the swing level by a tick margin and close to finish back above the level. For bearish direction, sweep requires high to trade above the swing level by a tick margin and close to finish back below the level. Min sweep ticks sets the margin: sweepMargin equals minSweepTicks multiplied by mintick The wick sweep mode further requires open to remain inside the level on the correct side. 3) Zone Derivation Models Zone bounds are determined from candle anatomy based on the selected RB zone model. Wick to Body: Bullish zone from body bottom to low Bearish zone from high to body top Open to Extreme: Bullish zone from open to low Bearish zone from high to open Full candle: High to low Body: Body top to body bottom These bounds become the candidate block top and bottom. 4) Strength Estimation Base strength uses close location within the candle range: closeLoc equals clamp of (close minus low) divided by range Buy strength equals closeLoc Sell strength equals 1 minus buy strength If Close plus wick is selected, dominant wick contribution is blended into the buy strength calculation using fixed weights. Strength is an approximation and is fixed at formation time. 5) Market Structure Break Detection and Trend State The engine tracks last swing high and last swing low timestamps and prices. It then detects breaks using cross style conditions: Bull break when close crosses above last swing high Bear break when close crosses below last swing low Trend direction is updated on confirmed bars after a break is detected. The engine also tracks the last broken swing timestamp to avoid duplicate structure events on the same swing. BOS and CHOCH are derived by comparing the new break direction to the previous trend direction. 6) Candidate Creation and Pending Queue On confirmed bars, if a rejection candle occurs at the relevant swing level, a Candidate is created with: Formation time Zone top and bottom Direction Buy and sell strength Confirmation level which is the opposite swing level Candidates are pushed into a pending array which is capped by max pending. 7) Candidate Confirmation Within a Window Each pending candidate is evaluated until it either expires or confirms: Expired when time since candidate leftT reaches confirmWindow in bars Confirmed when price breaks the candidate confirmLevel in the direction required for structure confirmation Confirmed candidates are converted into Blocks and added to the active blocks array. 8) Block Construction and Visual Geometry When a block is created, the script draws: Outer box covering the full block range Inner buy and sell boxes split at the zone midpoint Cap line placed at a maximum percentage of the outer width Inner widths are scaled using the block strengths and innerMaxPctOfOuter. A minimum inner width in bars is enforced. 9) Mitigation Detection Mitigation is detected using one of two modes: Touch mode: high low intersects the block range Close Inside mode: close is inside the block range After mitigation, the block can change visual styling, optionally stop extending, and optionally be deleted. 10) Invalidation Detection Invalidation is evaluated when enabled: For bullish blocks, invalidation occurs if price goes below the bottom For bearish blocks, invalidation occurs if price goes above the top This can be evaluated by wick or close depending on invalidation mode. Invalidated blocks can be visually marked and optionally deleted. 11) Aging and Cleanup If max age bars is set, blocks older than that age are removed. Limits on blocks and structure lines are enforced with controlled deletion to respect platform constraints. 12) Visibility Filters Blocks are shown or hidden based on direction toggles: Show bullish blocks Show bearish blocks Structure lines are also gated by a separate toggle and a maximum line budget.
อินดิเคเตอร์ Pine Script®
โดย UAlgo
Smart Money Liquidation Hunter [No Repaint] - PhenLabs📊Smart Money Liquidation Hunter - PhenLabs Retail traders place stop losses at “obvious” levels. Smart Money knows this. They deliberately push price through these levels to trigger your stops, collect liquidity, then reverse for the real move. This is called stop hunting or liquidity engineering. While most traders get stopped out and watch the market move without them, professionals are entering where YOU just exited. OVERVIEW The Smart Money Liquidation Hunter identifies institutional liquidity grabs by detecting three simultaneous conditions: a sweep of key liquidity pools, an immediate reversal with volume confirmation, and structural alignment with the Higher Timeframe (HTF) trend. Unlike standard indicators that repaint or lag, this script uses strict non-repainting logic for both signal generation and HTF filtering. It includes a built-in Quality Scoring System (0-100) that evaluates every setup based on sweep depth, volume intensity, and structural confluence (Order Blocks & FVGs). 🔷 MATHEMATICAL FOUNDATION The script operates on a 4-Layer Detection Algorithm: Layer 1: Liquidity Mapping (Pools) Scans the last 50-200 bars for clusters of Equal Highs (Buy-Side Liquidity) or Equal Lows (Sell-Side Liquidity). Formula: |High - High | ≤ Tick Tolerance (Default: 3 ticks) Optimization: Nearby zones are automatically merged to prevent chart clutter. Layer 2: Sweep Detection & Confirmation Detects when price wicks beyond a pool by a minimum distance but closes back inside within 1-3 bars. This confirms a “Stop Hunt” rather than a breakout. Volume Validation: Volume ≥ SMA(Volume, 20) × 1.5 Layer 3: Structural Confluence Before generating a signal, the script checks for: - HTF Trend: 1H EMA Filter (Non-repainting using confirmed bars). - Order Blocks (OB): The last opposite-colored candle before the sweep. - Fair Value Gaps (FVG): Imbalances created during the reversal. Note: OBs and FVGs are calculated for signal logic even if their visual toggles are off. Layer 4: Quality Scoring (0-100) Every signal is assigned a quality score based on: - Sweep Depth (25 pts) - Volume Spike (25 pts) - HTF Trend Alignment (25 pts) - OB/FVG Confluence (25 pts) 🔶 THE INSTITUTIONAL PLAYBOOK The indicator visualizes the three phases of a liquidity trap: Phase 1: The Inducement (Purple Zones) The script draws dashed purple boxes at swing points where retail stops are resting. Visual: “BSL” (Buy-Side Liquidity) / “SSL” (Sell-Side Liquidity) Phase 2: The Trap (⚡ Lightning Bolt) Price aggressively pushes into the zone to trigger stops. The script marks this with a lightning bolt icon when the candle closes back inside the range, confirming the trap. Phase 3: The Reversal (Entry Signal) Once the trap is confirmed and structural requirements are met (HTF trend + OB/FVG retest), a buy or sell signal is generated. ⚙️ SETTINGS GUIDE This version has been optimized for clean charts (“Decluttered”). Liquidity Lookback (Default: 50): How far back to scan for swing points. Increase for major levels only. Max Liquidity Pools (Default: 8): Keeps your chart clean by showing only the strongest, most recent zones. Min Ticks Between Zones (Default: 10): Merges nearby levels to prevent “zone stacking.” Compact Labels (True/False): True: Shows minimal tags like “L 15200 Q:85” (Recommended for 1m timeframe). False: Shows full details including Entry, SL, TP, and Risk/Reward. Show Order Blocks (Default: Off): Even when OFF, the script uses OB data to calculate signals. Turn ON if you want to see the specific zones. 📈 TRADING WORKFLOW Wait for a Purple Liquidity Zone (BSL or SSL) to form. Monitor for a Sweep (⚡) where price wicks the level and closes back. Check the Dashboard (Top Right). Ensure HTF Trend matches your direction. Entry: Wait for the “LONG” or “SHORT” label. This appears when price retests the Order Block or FVG created by the sweep. Stop Loss: Place just beyond the sweep wick (indicated by the red dotted line or signal tooltip). Target: Aim for the opposing liquidity pool or 3:1 RR. ⚠️ RISK DISCLAIMER This indicator identifies high-probability setups based on historical institutional patterns. However, no indicator guarantees future results. Smart money can accumulate positions through multiple sweeps before the true reversal occurs. Always use proper risk management and wait for candle closes. Does it repaint? No. All signals are permanent once the bar closes. The HTF filter uses confirmed closed data from the previous Higher Timeframe bar to prevent future-leak/repainting.
อินดิเคเตอร์ Pine Script®
โดย PhenLabs
1
[TehThomas] - Aligned Timeframe Fair Value Gaps█ OVERVIEW This indicator automatically detects and displays Fair Value Gaps (FVGs) from higher timeframes on your current chart, following ICT (Inner Circle Trader) methodology. It intelligently selects the optimal higher timeframe based on your current chart timeframe and tracks both filled and unfilled gaps with full visual customization, including dynamic shrinking gaps and midline references. █ KEY FEATURES ✓ Automatic Timeframe Alignment - Intelligently selects higher timeframe based on current chart (1min→15min, 5min→1H, 1H→Daily, etc.) - Uses confirmed/closed HTF bars only for reliable gap detection - Displays timeframe label on each FVG box for clarity ✓ Dynamic Gap Management - Optional dynamic (shrinking) gaps that contract as price fills them partially - Automatic removal when gaps are fully filled by price - Tracks up to 200 historical FVGs with intelligent visibility management ✓ Advanced Display Controls - Show only unfilled gaps (reduces chart clutter) - Configurable box extension length into future bars - Optional midline display with customizable style (solid/dashed/dotted) - Fully customizable colors for bullish/bearish gaps, borders, and labels █ HOW IT WORKS The indicator monitors the aligned higher timeframe and detects three-candle patterns where price creates an imbalance, areas where aggressive buying or selling left gaps that were never properly filled. When a bullish FVG forms (gap between HTF bar lows and highs), it indicates rapid upward price movement that skipped price levels, creating a zone where price may return to seek "fair value". Bearish FVGs work inversely, forming during aggressive downward moves. The indicator places boxes starting from where the gap actually formed (2 HTF bars ago) and extends them forward. As new bars form, it continuously checks if price has entered or filled each gap. In dynamic mode, gaps shrink in real-time as price partially fills them. The visibility system ensures only the most recent unfilled gaps are displayed, keeping your chart clean while maintaining historical data. █ SETTINGS Boxes Group: - Extend boxes: Number of bars to project gaps into the future (default: 20) - Min Gap Size (%): Minimum percentage size to filter small/noise gaps (default: 0%) - Dynamic (shrinking) gaps: Enable gaps to shrink as price fills them partially - Max Unfilled Gaps to Display: Limit visible unfilled gaps on chart (default: 10) - Max FVGs in History: Total gaps stored in memory for tracking (50-200, affects performance) Colors Group: - Bullish Gap Color: Fill color for bullish FVGs - Bearish Gap Color: Fill color for bearish FVGs - Gap Border Color: Border color for all gap boxes Midline Group: - Show Midline: Display 50% level line through each gap - Midline Color: Color of the midline - Midline Style: Visual style (Solid/Dashed/Dotted) Label Group: - Show FVG Label: Display timeframe label on each gap box - Label Text Color: Color of label text - Label Size: Text size (Tiny/Small/Normal/Large) █ HOW TO USE 1. Apply to any timeframe - The indicator automatically selects the appropriate higher timeframe for analysis 2. Identify imbalance zones - FVG boxes show areas where price moved too quickly, creating inefficiency that often acts as a magnet for future price action 3. Use for retracement entries - Wait for price to return to an unfilled FVG after a Break of Structure (BOS) or Market Structure Shift (MSS) for high-probability entry zones 4. Watch midlines - The 50% level of each gap often provides the strongest reaction point 5. Monitor gap filling - When gaps are filled, they signal that the imbalance has been resolved; dynamic mode shows partial fills in real-time █ TRADING STRATEGY EXAMPLES Trend Continuation Strategy: After a strong bullish move creates multiple bullish FVGs, wait for price to retrace into the nearest unfilled FVG, then enter long positions expecting continuation. The FVG acts as a support zone where institutional buyers may re-enter. Confluence Trading: Combine FVGs with other ICT concepts like Order Blocks, liquidity grabs, or Premium/Discount zones. The strongest setups occur when an FVG aligns with multiple confluence factors, increasing probability of successful retracement entries. Breakout Confirmation: After a Break of Structure, look for price to return to the FVG created during the breakout candle. This retest provides a lower-risk entry point with clear invalidation levels (below/above the gap). █ IDEAL FOR - ICT (Inner Circle Trader) methodology practitioners - Smart Money Concepts (SMC) traders seeking institutional footprints - Multi-timeframe analysis traders who want higher timeframe context on lower timeframe charts - Price action traders focusing on supply-demand imbalances - Swing and intraday traders seeking high-probability retracement zones - Traders who value clean, organized chart visualization with controlled gap display █ TECHNICAL SPECIFICATIONS - Pine Script Version: 6 - Chart Type: Overlay indicator - Maximum Boxes: 500 - Maximum Lines: 500 (for midlines) - Lookback Period: 2000 bars - HTF Data: Uses confirmed/closed bars with lookahead to avoid repainting - Memory Management: Stores up to 200 historical FVGs with intelligent visibility control - Update Frequency: Real-time gap tracking and dynamic adjustment on every bar █ NOTES & DISCLAIMERS - FVGs represent areas of price imbalance, not guaranteed reversal or continuation zones - Higher timeframe gaps may take significant time to be filled or may never fill in strong trending markets - Dynamic gaps provide visual feedback but increase computational load; disable for better performance on slower devices - Max history setting affects performance: higher values enable more unfilled gaps but require more processing power - This indicator works best when combined with proper market structure analysis, liquidity concepts, and risk management - Past performance of FVG fills does not guarantee future results - Always use appropriate position sizing and stop losses when trading FVG retracements
อินดิเคเตอร์ Pine Script®
โดย TehThomas
8
Liquidity Heatmap Matrix [MTF] - PhenLabs📊Liquidity Heatmap Matrix Version: PineScript™v6 📌Description The Liquidity Heatmap Matrix is a multi-timeframe liquidity detection and visualization tool built to identify where equal highs and equal lows are forming across up to five configurable timeframes. It solves a core challenge for smart money and ICT-style traders: knowing exactly where stop-loss clusters and liquidity pools are building — before price sweeps them. Rather than manually scanning multiple timeframes for double tops and bottoms, this indicator automates the entire process and presents confluence-weighted liquidity zones as a heatmap overlay directly on your chart. Levels confirmed by more timeframes glow with greater intensity, giving you an immediate sense of which zones carry the highest probability of a liquidity grab. When price sweeps through a detected level, the indicator confirms it in real time with on-chart labels, color changes, and optional alerts — turning reactive analysis into proactive trade planning. 🚀Points of Innovation ● First-of-its-kind heatmap approach that scores liquidity zones on a 1-to-5 confluence scale across independent timeframes ● Automatic merging of nearby equal levels using a percentage-based tolerance system, eliminating duplicate zone clutter ● Real-time sweep confirmation engine that detects when price pierces a level and closes back inside, validating the liquidity grab ● Dynamic zone coloring that shifts from transparent to fully opaque as more timeframes confirm the same price level ● Built-in dashboard that ranks all active levels by confluence strength and tracks bullish versus bearish sweep counts ● Comprehensive alert suite covering new equal high/low formation and sweep events for both directions 🔧Core Components ● Multi-Timeframe Pivot Engine: Runs pivot high/low detection independently on each of the five timeframes using request.security calls, then feeds results into a unified level registry ● Equal Level Comparator: Compares each new pivot against a rolling window of recent pivots using a configurable percentage tolerance to identify price levels that have been tested more than once ● Confluence Merger: When the same price level appears on multiple timeframes, the system merges them into a single zone and increments the confluence score rather than stacking overlapping boxes ● Sweep Detection Module: Monitors all active levels bar-by-bar, confirming a sweep when price breaches the zone edge and then closes back within it — filtering out false breakouts ● Heatmap Renderer: Translates each level’s confluence score into a color intensity gradient, with separate palettes for equal highs (red spectrum) and equal lows (green spectrum) ● Dashboard Table: Displays every active level in a sortable table with type, price, per-timeframe dot indicators, confluence rating, and sweep status 🔥Key Features ● Supports 5 fully independent timeframes that can be toggled on or off and set to any interval from 1 minute to Monthly ● Heatmap coloring intensity scales automatically with confluence count — single-timeframe levels appear faint while 5-TF levels are fully saturated ● Sweep labels display the direction, confluence count, confirming timeframes, and exact price of each swept level directly on the chart ● Dashboard tracks all active equal high and equal low levels sorted by confluence descending with real-time bull and bear sweep counters ● Four alert conditions cover new equal highs, new equal lows, bearish sweeps (EQH taken), and bullish sweeps (EQL taken) ● Swept zones automatically change to a distinct highlight color and freeze their right edge at the sweep bar for clear historical reference ● Old swept levels are cleaned up after 100 bars and stale unswept levels expire after 500 bars to keep the chart uncluttered ● All zone colors, widths, extension lengths, and dashboard positioning are fully customizable 🎨Visualization ● Liquidity Zone Boxes: Colored rectangles overlaid on the chart representing each equal high or equal low level — red-spectrum for EQH, green-spectrum for EQL, with opacity increasing as confluence rises ● Heatmap Intensity Gradient: Single-TF zones appear nearly transparent while 5-TF zones are fully opaque, creating a visual heat signature of where liquidity is densest ● Sweep Labels: Appear at the sweep bar with directional arrows (🔻 for EQH swept, 🔺 for EQL swept), showing confluence count, confirming timeframe list, and price ● Swept Zone Highlight: Confirmed sweeps turn the zone box to a yellow highlight color, clearly distinguishing consumed liquidity from active levels ● Dashboard Table: A compact on-chart table (repositionable to any corner) showing Type, Price, per-TF active dots (● / ○), and confluence rating for every tracked level ● Summary Footer: Bottom row of the dashboard displays total bullish sweeps, bearish sweeps, and combined sweep count 📖Usage Guidelines ● TF 1 through TF 5 Enabled — Toggle each timeframe on or off (Default: TF1 and TF2 enabled, TF3-TF5 disabled) ● TF 1 through TF 5 Interval — Set each timeframe independently (Defaults: 5m, 15m, 1H, 4H, Daily) ● Pivot Lookback Left — Number of bars to the left for pivot detection (Default: 6, Range: 1–50) ● Pivot Lookback Right — Number of bars to the right for pivot confirmation (Default: 6, Range: 1–50) ● Equal Level Tolerance (%) — Maximum percentage difference for two pivots to be considered equal (Default: 0.1%, Range: 0.01–2.0%) ● Max Pivots to Compare — Rolling window size of recent pivots checked for equal levels (Default: 5, Range: 2–10) ● Max Active Levels — Maximum number of liquidity zones tracked simultaneously (Default: 20, Range: 5–50) ● Sweep Confirm Bars — Bars to wait before confirming a sweep after price pierces a level (Default: 2, Range: 1–10) ● Show Liquidity Zones — Toggle zone box rendering on or off (Default: On) ● Show Sweep Labels — Toggle sweep confirmation labels on or off (Default: On) ● Show Dashboard — Toggle the summary dashboard table on or off (Default: On) ● Zone Width (%) — Percentage-based half-width of each liquidity zone box (Default: 0.05%, Range: 0.01–1.0%) ● Zone Extend (bars) — How far forward active zone boxes extend on the chart (Default: 50, Range: 10–200) ● Dashboard Position — Corner placement of the dashboard table (Options: Top Right, Bottom Right, Top Left, Bottom Left) ● EQH Colors — Customizable color range from 1-TF to 5-TF confluence for equal high zones (Default: Red spectrum with varying transparency) ● EQL Colors — Customizable color range from 1-TF to 5-TF confluence for equal low zones (Default: Green spectrum with varying transparency) ● Swept Zone Color — Highlight color for levels that have been confirmed swept (Default: Yellow at 30% transparency) ✅Best Use Cases ● Identifying high-probability reversal zones where liquidity has clustered across multiple timeframes before entering a mean-reversion trade ● Pre-planning take-profit targets by locating where dense liquidity pools sit above or below current price ● Filtering breakout trades by checking whether price is approaching a high-confluence liquidity zone likely to cause a sweep and reversal ● Confirming ICT and smart money concepts by visualizing where equal highs and equal lows form as institutional liquidity targets ● Setting up sweep-based alerts to get notified the moment a multi-TF liquidity level gets taken, enabling rapid reaction entries ● Using the dashboard as a real-time liquidity scoreboard during active trading sessions to track which levels remain live and which have been consumed ⚠️Limitations ● Pivot detection requires a right-side lookback, so level identification has an inherent delay equal to the Pivot Lookback Right setting ● Very low tolerance values on volatile assets may produce few matches, while very high values may create false confluences — tuning to the asset’s typical spread is recommended ● The indicator tracks up to the Max Active Levels limit, so on extremely active charts some older unswept levels may be pruned before they are reached ● Multi-timeframe security calls can increase chart loading time, especially when all five timeframes are enabled on lower-timeframe charts ● Sweep detection relies on close price returning inside the zone — wicks that pierce and immediately reverse on the same bar without closing inside may not be captured ● This tool identifies liquidity zones and sweeps but does not generate buy or sell signals — it is designed to complement your existing strategy, not replace it 💡What Makes This Unique ● Confluence-weighted heatmap visualization is a fundamentally different approach to liquidity mapping compared to simple equal-high/low markers, providing probabilistic weight to each level ● The automatic cross-timeframe merging system eliminates zone stacking and clutter that plagues most multi-timeframe indicators ● Real-time sweep confirmation with multi-bar validation filters out noise and false breakouts that single-bar detection methods frequently flag ● The integrated dashboard provides a full-spectrum situational awareness panel without needing to switch between timeframes or use multiple indicators 🔬How It Works ● Step 1 — Pivot Detection: On each enabled timeframe, the script independently identifies pivot highs and pivot lows using a configurable left/right lookback window via ta.pivothigh and ta.pivotlow functions ● Step 2 — Equal Level Matching: Each new pivot is compared against a rolling buffer of recent pivots on the same timeframe; if two pivots fall within the percentage tolerance, an equal high or equal low is flagged ● Step 3 — Cross-Timeframe Registration and Merging: Detected equal levels are registered into a central level array; if a level from one timeframe falls near an existing level, it merges by incrementing the confluence score rather than creating a duplicate ● Step 4 — Heatmap Rendering: Each active level is drawn as a zone box with color intensity mapped to its confluence score using a 5-tier gradient — more confirming timeframes produce more visually prominent zones ● Step 5 — Sweep Monitoring: Every bar, the script checks whether price has breached a zone edge and closed back inside, confirming a liquidity sweep; confirmed sweeps update the zone color, freeze the box, and generate labels and alerts ● Step 6 — Lifecycle Management: Swept levels are retained for 100 bars for historical reference then removed; unswept levels older than 500 bars are pruned to maintain chart performance and visual clarity 💡Note: For best results, start with the default settings and adjust tolerance and pivot lookback values to match the volatility profile of your specific asset. Lower timeframe combinations (e.g., 5m + 15m) are ideal for intraday scalping, while higher timeframe setups (e.g., 1H + 4H + Daily) suit swing trading. This indicator is designed as a confluence tool — combine it with your existing strategy, order flow analysis, or market structure methodology for highest-probability trade setups. It does not produce buy or sell signals on its own.
อินดิเคเตอร์ Pine Script®
โดย PhenLabs
4
First presented ineficiency indicator - 10 sessions📊 Enhanced FVG Indicator with Multi-Session Support Overview The Enhanced FVG (Fair Value Gap) Indicator is a professional-grade tool designed for traders who want to identify and track Fair Value Gaps across multiple trading sessions. This indicator combines advanced FVG detection with smart extension modes, customizable alerts, and automatic instrument calibration. 🎯 What is a Fair Value Gap (FVG)? A Fair Value Gap occurs when there's a price imbalance in the market, creating a "gap" that the price often revisits. This happens when: Bullish FVG: The high of candle 2 bars ago is below the low of the current candle Bearish FVG: The low of candle 2 bars ago is above the high of the current candle FVGs are powerful supply and demand zones that smart money traders use to identify potential reversal or continuation points. ✨ Key Features 🔟 Multiple Session Support 10 Configurable Sessions: Track FVGs across different time windows throughout the day Independent Control: Enable/disable each session individually Custom Session Times: Define your own session hours in any timezone Unique Colors: Each session has its own customizable color scheme Session Labels: Clear identification with customizable labels (S1-S10) 🎨 Modern Label System Text-Only Labels: Clean, modern design without background boxes 9 Position Options: Place labels anywhere on the FVG (Top/Middle/Bottom × Left/Center/Right) Dynamic Information: Shows session name, direction (↑/↓), and size in points Adjustable Size: Choose from Tiny, Small, Normal, Large, or Huge text Custom Colors: Full control over label text color 📏 Smart Extension Modes 1. Follow Current Bar FVGs dynamically extend to follow the current price action Configurable bar offset (-50 to +50) to project ahead or stop before current bar Perfect for real-time trading and keeping your chart clean 2. Until Time Extend FVGs until a specific time of day (HHMM format) Ideal for intraday traders with specific market closure times Example: Stop all FVGs at 1600 (4:00 PM) 3. Until Retest Automatically stop extending when price retests the FVG Three sensitivity levels: Touch: Wick touches the FVG zone Close Inside: Close price enters the FVG Full Body Inside: Entire candle body within the FVG Great for validating FVG fills and trading opportunities 🔔 Advanced Alert System Creation Alerts: Get notified when a new FVG forms Format: "FVG Created: S1 ↑ 79pts @ 70339.00-70418.30" Retest Alerts: One-time alert when price revisits a FVG Format: "FVG Retested: S1 @ 70380.00" Configurable: Enable/disable alerts independently No Spam: Each FVG only triggers one retest alert 🧮 Automatic Point Calculation The indicator automatically detects your instrument type and calculates FVG size correctly: Crypto: Bitcoin, Ethereum, Altcoins (÷10 or ÷100) Forex: All major pairs with correct pip calculation Futures: ES, NQ, YM, CL, GC with proper point values Indices: S&P500, NASDAQ, etc. (1 point = 1 point) Stocks: Penny and dollar stocks (cents calculation) Manual Override: Option to set custom divisor if needed 🎯 Consequent Encroachment (CE) Middle Line: Shows the 50% level of each FVG Customizable Style: Solid, Dashed, or Dotted Adjustable Thickness: 1-5 pixel width Custom Color: Match your chart theme Toggle On/Off: Show or hide as needed 🌍 Timezone Support 4 Major Timezones: America/New_York, UTC, Europe/London, Asia/Tokyo Session-Based: Define sessions in your preferred timezone Global Trading: Works for traders anywhere in the world 📋 Default Configuration Active Sessions (1-5): Session 1: 09:31-09:49 (Market Open) Session 2: 09:50-10:30 (Morning Momentum) Session 3: 10:50-11:10 (Mid-Morning) Session 4: 11:50-12:10 (Pre-Lunch) Session 5: 13:30-14:10 (Post-Lunch) Additional Sessions (6-10): Disabled by default, customize as needed Colors: S1: Blue | S2: Purple | S3: Orange | S4: Yellow | S5: Aqua S6: Green | S7: Red | S8: Fuchsia | S9: Lime | S10: Teal 🚀 How to Use Basic Setup Add the indicator to your chart Select your timezone Enable desired sessions (1-5 active by default) Choose your extension mode Configure alerts if needed Trading Strategies Intraday Scalping: Use "Until Retest" mode with "Touch" sensitivity Enable alerts for quick entries Focus on Sessions 1-2 for high volatility Swing Trading: Use "Until Time" mode to extend FVGs to market close Set retest sensitivity to "Close Inside" for confirmation Track multiple sessions for confluence zones Smart Money Concepts: Combine FVGs with order blocks and liquidity zones Use CE line for partial profit targets Watch for FVG retests at key support/resistance levels ⚙️ Performance Optimizations Efficient Rendering: Max 500 boxes, labels, and lines Historical Limit: Display up to 30 days of FVGs Memory Management: Inactive FVGs automatically marked Real-Time Updates: Dynamic extension without lag 📊 Compatible Instruments ✅ Cryptocurrencies (Bitcoin, Ethereum, Altcoins) ✅ Forex Pairs (All majors and crosses) ✅ Futures Contracts (Indices, Commodities, Metals) ✅ Stock Indices (S&P500, NASDAQ, DOW) ✅ Individual Stocks ✅ Any instrument on TradingView 🎓 Understanding FVG Trading Why FVGs Matter: Represent inefficient price action Act as magnets for price retracement Often mark institutional order flow High probability reversal zones Best Practices: Combine with volume analysis Use higher timeframe FVGs for stronger zones Wait for confirmation before entry Place stops beyond the FVG boundaries 🔧 Customization Options Visual Settings: 10 session colors Border color (transparent by default) CE line color, style, and thickness Label size, color, and position Functional Settings: Extension mode (Follow/Time/Retest) Bar offset (-50 to +50) Retest sensitivity (3 levels) Alert preferences Calculation Settings: Auto-detect point divisor Manual divisor override Maximum days to display 💡 Tips & Tricks Reduce Chart Clutter: Disable sessions you don't trade Session Optimization: Adjust session times to match your market's volatility Confluence Trading: Enable multiple sessions to find overlapping FVGs Mobile Trading: Use alerts to trade on-the-go Backtesting: Increase max days to analyze historical FVG behavior 📝 Version History v1.0 - Initial Release 10 configurable sessions 3 extension modes Automatic point calculation Alert system Modern label design Consequent encroachment support 🤝 Support & Feedback If you find this indicator helpful, please leave a review and share your experience! For questions or feature requests, feel free to comment below. Happy Trading! 🎯📈
อินดิเคเตอร์ Pine Script®
โดย Frenchy_Trades
2
Internal vs External Liquidity Zones [Alpha Extract]A sophisticated dual-timeframe market structure visualization system that identifies and maps internal (short-term) and external (long-term) liquidity levels with comprehensive Break of Structure (BOS) and Change of Character (CHoCH) detection across both timeframes. Utilizing pivot-based zone creation with ATR-scaled heights and sweep classification, this indicator delivers institutional-grade liquidity mapping distinguishing between major swing liquidity (external) and minor retracement liquidity (internal) for multi-dimensional market structure analysis. The system's hierarchical structure framework combined with objective arrow projection and state-based zone coloring provides complete smart money concept implementation for advanced order flow trading. 🔶 Understanding Internal vs External Structure External Structure represents major swing points using longer pivot lengths (default 10 bars), identifying significant highs and lows that define the broader market range and trend direction. These are the key levels where large institutional positions likely exist, stop losses cluster, and major trend reversals may occur. External structure breaks (eBOS/eCHoCH) signal significant shifts in market sentiment and often precede sustained directional moves. Internal Structure captures minor swing points within the external range using shorter pivot lengths (default 3 bars), revealing short-term liquidity pools formed during retracements, consolidations, and minor corrections. These represent areas where smaller participants' stops accumulate and where price often reacts before continuing toward external objectives. Internal structure breaks (iBOS/iCHoCH) provide early warning signals and tactical entry opportunities within the broader external trend context. The relationship between internal and external structure creates a hierarchical framework: external zones define the "what" (overall bias and major objectives), while internal zones reveal the "how" (tactical path and entry models). When internal structure breaks bullish while within an external bearish range, it signals potential reversal setup. When internal breaks align with external direction, it confirms trend strength. 🔶 Advanced Dual-Pivot Detection Framework Implements separate pivot calculation systems for external and internal structure with configurable lookback periods optimizing for different swing magnitudes. The system identifies external pivots using extended length capturing major swing extremes, detects internal pivots using compressed length for minor retracement highs/lows, and optionally requires internal pivots occur within current external range boundaries ensuring hierarchical structure coherence. // Dual Structure Detection External_Pivot_High = ta.pivothigh(high, External_Length, External_Length) External_Pivot_Low = ta.pivotlow(low, External_Length, External_Length) Internal_Pivot_High = ta.pivothigh(high, Internal_Length, Internal_Length) Internal_Pivot_Low = ta.pivotlow(low, Internal_Length, Internal_Length) // Optional Range Requirement Valid_Internal = requireInside ? (pivot within ) : true 🔶 BOS and CHoCH Detection System Break of Structure (BOS) occurs when price breaks a recent structure point in the direction of the current trend, confirming trend continuation. The system identifies BOS when: Price breaks above previous high while trend remains bullish (bullish BOS) Price breaks below previous low while trend remains bearish (bearish BOS) Previous structure point hasn't been violated yet Change of Character (CHoCH) signals potential trend reversal when price breaks structure counter to the established trend direction. The system detects CHoCH when: Price breaks above previous high while trend was bearish (bullish CHoCH - reversal signal) Price breaks below previous low while trend was bullish (bearish CHoCH - reversal signal) Both external (e-prefix) and internal (i-prefix) structures generate independent BOS/CHoCH labels, enabling multi-timeframe structure analysis where eCHoCH may signal major reversal while iBOS confirms minor trend within that reversal. 🔶 Intelligent Zone Creation Architecture Features ATR-based or tick-based zone height calculation with separate sizing for internal and external liquidity levels, creating visual boxes centered on pivot points. The system calculates zone dimensions using configurable ATR multiples (default 0.40x) or fixed tick counts, positions zones symmetrically above/below pivot levels, and applies distinct color schemes distinguishing external highs (red), external lows (white), internal highs (cyan), and internal lows (blue). 🔶 Equal High/Low Detection Mode Provides advanced internal zone mode that only creates zones when consecutive internal pivots form equal highs or equal lows within ATR-based tolerance, filtering noise and highlighting significant accumulation/distribution patterns. The system tracks previous internal pivots, compares new pivots against tolerance threshold, creates averaged zone when equality detected, and ignores isolated pivots that don't form patterns, reducing visual clutter while emphasizing institutional liquidity clustering. 🔶 Comprehensive Sweep Classification System Implements three sweep detection modes distinguishing between liquidity grabs and genuine breakouts with state-based zone coloring: Wick Mode: Marks zone as swept when wick touches but close remains outside Close Mode: Requires close through zone for sweep classification Wick+Close Classify Mode: Distinguishes sweeps (S - wick touches, close outside) from breaks (B - close through zone) The system transitions zones through three states: Active (0 - untouched), Swept (1 - liquidity grabbed), Broken (2 - fully breached), applying progressive transparency increases to visually distinguish state changes and enabling traders to identify false breakouts versus genuine structural violations. 🔶 Objective Arrow Projection Framework Features intelligent objective labeling that triggers when internal zones are swept, projecting arrows pointing toward opposite external structure as probable targets. The system generates "->ExtH" labels when internal low swept (suggesting move toward external high) and "->ExtL" labels when internal high swept (suggesting move toward external low), providing smart money concept implementation where internal liquidity grabs often precede runs toward external objectives. 🔶 Dynamic Zone Management System Maintains separate arrays for external and internal zones with configurable history modes and maximum zone limits. The system implements "Latest Only" mode (clears previous external zones of same side when new pivot detected) or "Keep History" mode (preserves all zones up to maximum limit), automatically expires oldest zones when limits reached, and optionally clears all internal zones when new external pivot forms, maintaining clean chart presentation while preserving relevant liquidity context. 🔶 Trend Momentum Scoring Engine Calculates sophisticated trend state using dual-component analysis combining momentum (price change normalized by volatility) with strength (MA separation and slope alignment). The system generates TrendScore objects containing momentum value, strength percentage, direction (-1/0/+1), and confidence score (0-100), uses these scores to classify BOS versus CHoCH by comparing previous and current trend states, and provides objective structural classification beyond simple price level violations. 🔶 Adaptive Zone Extension Logic Implements intelligent right-edge management where active zones extend to current bar but freeze at touch/sweep point when cut-on-touch enabled. The system continuously updates zone right boundaries during active state, locks boundary at bar of first violation, and maintains locked position through subsequent bars, creating visual history of when liquidity was accessed while preventing misleading forward projection of filled zones. 🔶 Multi-State Visual Feedback System Provides comprehensive color and transparency modulation based on zone state with two visual style options. "Soft Fill" mode uses semi-transparent fills with subtle borders, while "Outline" mode displays only colored borders with transparent fills. The system applies progressive transparency increases: Active (light), Swept (medium), Broken (heavy), with independent control over fill and border transparency enabling customization from subtle hints to prominent highlighting. 🔶 Structure Line Visualization Architecture Creates dashed horizontal lines connecting structure break points to current bar with BOS/CHoCH labels positioned at midpoint between break bar and detection bar. The system draws lines at exact structure level, applies color coding matching bullish (green) or bearish (red) classification, and uses compact labels (eBOS, eCHoCH, iBOS, iCHoCH) for instant structural event identification without cluttering chart with excessive text. 🔶 Performance Optimization Framework Utilizes efficient array management with configurable maximum limits (default 120 zones each type), automatic cleanup of oldest elements, and optional hiding of filled zones reducing active object count. The system includes intelligent state tracking minimizing recalculation overhead, optimized sweep detection using simple comparison logic, and streamlined zone update loops processing only active zones for consistent performance across extended sessions. 🔶 Why Choose Internal vs External Liquidity Zones ? This indicator delivers institutional-grade market structure analysis through hierarchical dual-timeframe liquidity mapping with comprehensive BOS/CHoCH detection. The distinction between external (major swing) and internal (minor retracement) structure provides complete smart money concept implementation where external zones define bias and targets while internal zones reveal tactical entries and stop hunts. The system's sweep classification distinguishes liquidity grabs from genuine breakouts, objective arrows project probable targets based on internal sweeps toward external levels, and comprehensive BOS/CHoCH labeling across both timeframes enables multi-dimensional structural analysis. Perfect for order flow traders implementing ICT concepts, liquidity-based strategies, or market maker models in cryptocurrency, forex, and futures markets where understanding the relationship between internal accumulation and external objectives is essential for high-probability trade location and proper risk management.
อินดิเคเตอร์ Pine Script®
โดย AlphaExtract
Entropy Divergence (No Repaint) [PhenLabs]📊 Entropy Divergence (No Repaint) Version: PineScript™ v6 📌 Description The Entropy Divergence Scalper (EDS) is a sophisticated trading indicator that applies information theory to market analysis. By calculating Shannon Entropy on price returns, it identifies periods when market behavior becomes more predictable and orderly—the ideal conditions for divergence-based trading. Traditional divergence indicators generate signals regardless of market conditions, leading to many false signals during chaotic, high-entropy periods. EDS solves this by acting as an intelligent filter: it only triggers signals when entropy drops below your specified threshold, indicating that the market has entered a more structured, tradeable state. This indicator is built with a strict non-repainting guarantee. All signals use barstate.isconfirmed and only appear after bar close, giving you reliable signals you can trust for live trading. 🚀 Points of Innovation Shannon Entropy integration measures market randomness using information theory mathematics Dual divergence engine detects both RSI and Volume divergences simultaneously Entropy-filtered signals eliminate noise by only triggering in low-entropy (predictable) market conditions 100% non-repainting architecture ensures all signals are confirmed and historically accurate Multi-layer confirmation combines entropy state, RSI divergence, and volume divergence for higher probability setups Dynamic color visualization provides instant visual feedback on current market entropy state 🔧 Core Components Shannon Entropy Calculator: Bins price returns into histograms and calculates entropy using H(X) = -Σ p(x) × log₂(p(x)) RSI Divergence Detector: Identifies when price makes lower lows while RSI makes higher lows (bullish) or price makes higher highs while RSI makes lower highs (bearish) Volume Divergence Detector: Spots increasing volume interest at price lows (bullish) or decreasing conviction at price highs (bearish) Pivot Detection System: Uses configurable lookback periods to identify and track price, RSI, and volume pivots Signal Classification Engine: Labels signals as RSI, VOL, or RSI+VOL based on which divergences triggered 🔥 Key Features Entropy Threshold Control: Set your preferred entropy level (default 2.5) to filter out signals during chaotic market periods Configurable Smoothing: EMA smoothing on entropy values reduces noise while maintaining signal responsiveness Flexible Pivot Detection: Adjust left/right lookback bars to tune sensitivity for different trading styles Divergence Search Range: Control how far back the indicator looks for divergence patterns (20-200 bars) Minimum Pivot Distance: Prevents false signals from pivots that are too close together Complete Alert System: Four alert conditions for bullish signals, bearish signals, any signal, and low entropy zone entry 🎨 Visualization Dynamic Entropy Line: Color gradient shifts from green (low entropy/tradeable) to orange (high entropy/chaotic) Entropy Threshold Line: Dashed reference line shows your configured entropy threshold Low Entropy Zone Fill: Background highlighting indicates when market is in tradeable low-entropy state Scaled RSI Plot: RSI overlay scaled to fit the entropy pane for easy correlation analysis Normalized Volume Bars: Volume displayed as columns normalized against 20-period average Signal Labels: Clear LONG/SHORT labels with divergence type (RSI, VOL, or RSI+VOL) Information Table: Real-time display of entropy value, state, RSI, and current signal status 📖 Usage Guidelines Entropy Lookback Period — Default: 20, Range: 5-100 — Controls how many bars are used for entropy calculation; higher values provide smoother readings but slower response Histogram Bins — Default: 10, Range: 5-50 — Number of bins for probability distribution; more bins provide finer granularity Low Entropy Threshold — Default: 2.5, Range: 0.5-4.0 — Signals only trigger when entropy drops below this value; lower settings are more selective Entropy Smoothing — Default: 3, Range: 1-10 — EMA smoothing applied to raw entropy values for noise reduction RSI Length — Default: 14, Range: 5-50 — Standard RSI calculation period Pivot Lookback Left — Default: 5, Range: 2-20 — Bars to the left for pivot detection Pivot Lookback Right — Default: 2, Range: 1-10 — Bars to the right for pivot confirmation; lower values produce faster signals Divergence Search Range — Default: 60, Range: 20-200 — Maximum bars to look back for divergence comparison Min Bars Between Pivots — Default: 5, Range: 3-30 — Minimum distance between pivots for valid divergence detection ✅ Best Use Cases Scalping during low-volatility consolidation periods when entropy drops and price becomes more predictable Swing trade entry timing by waiting for divergence signals in low-entropy market conditions Trend reversal identification when both RSI and Volume divergences align with low entropy readings Multi-timeframe confirmation by checking entropy state on higher timeframes before taking signals Filtering existing strategies by adding entropy as a confirmation layer to reduce false signals ⚠️ Limitations Signals appear with a delay due to pivot confirmation requirements (pivotLookbackRight bars after pivot forms) May generate fewer signals during strongly trending markets where entropy remains elevated Entropy threshold requires optimization for different instruments and timeframes Not designed for high-frequency trading due to bar-close confirmation requirement Divergences can fail in extremely strong trends where momentum overwhelms the signal 💡 What Makes This Unique First indicator to combine Shannon Entropy filtering with multi-factor divergence detection Information theory approach provides mathematical foundation for identifying tradeable market states Triple confirmation requirement (low entropy + divergence + bar close) significantly reduces false signals Non-repainting guarantee makes it suitable for strategy backtesting and live trading Open-source PineScript v6 code allows traders to understand and customize the methodology 🔬 How It Works Step 1 — Entropy Calculation: The indicator calculates logarithmic returns, bins them into a histogram, and computes Shannon Entropy to measure market randomness Step 2 — Entropy Filtering: When smoothed entropy drops below the threshold, the market is considered to be in a tradeable low-entropy state Step 3 — Pivot Detection: The system continuously tracks price, RSI, and volume pivots using configurable lookback parameters Step 4 — Divergence Analysis: When a new pivot is confirmed, the indicator compares it against previous pivots to detect bullish or bearish divergences Step 5 — Signal Generation: A final signal only triggers when low entropy conditions coincide with a confirmed divergence pattern on a closed bar 💡 Note: This indicator is designed for educational purposes and technical analysis. Always use proper risk management and never risk more than you can afford to lose. The non-repainting guarantee means signals will only appear after bar close—watch the indicator in real-time to verify this behavior. For optimal results, consider combining EDS signals with support/resistance levels and overall market context.
อินดิเคเตอร์ Pine Script®
โดย PhenLabs
5
[TehThomas] - Order Blocks█ OVERVIEW This Order Blocks indicator identifies institutional-level support and resistance zones using fractal pattern recognition combined with Fair Value Gap (FVG) filtering. Order blocks represent areas where large institutional orders have been placed, creating significant price reactions when retested. This indicator uses a 5-bar fractal pattern to detect market structure breaks and highlights the last bearish or bullish candle before a strong impulse move. █ KEY FEATURES - Fractal-Based Detection: Uses 5-candle fractal patterns to identify key market structure highs and lows - FVG Filtering: Optional Fair Value Gap confirmation ensures order blocks are followed by true market imbalances - Automatic Mitigation: Order blocks are automatically removed when price breaks through them - Overlap Prevention: Prevents cluttered charts by avoiding overlapping order block zones - Customizable Display: Full control over colors, labels, line heights (body/wick), and maximum blocks shown - Dual Polarity: Detects both bullish (OB+) and bearish (OB-) order blocks independently █ HOW IT WORKS The indicator scans price action for fractal patterns where the middle candle forms a local extreme (highest high or lowest low among 5 bars). When price breaks above a fractal high or below a fractal low, the script identifies the last opposing candle in the impulse move as the order block. For bearish order blocks, it finds the highest bullish candle before a fractal low is broken, marking institutional selling pressure. For bullish order blocks, it locates the lowest bearish candle before a fractal high is breached, indicating institutional buying. When FVG filtering is enabled, the indicator confirms that a Fair Value Gap (a 3-candle imbalance where price leaves an unfilled gap) occurred within the specified distance from the order block. This combination increases the probability that institutional traders are present in these zones. █ SETTINGS Bullish Order Block Settings - Show/hide bullish order blocks - Customize fill color and border color - Toggle OB+ label display Bearish Order Block Settings - Show/hide bearish order blocks - Customize fill color and border color - Toggle OB- label display Label Settings - Label size: Tiny, Small, Normal, or Large - Label text color customization General Settings - Bars Back to Check (10-200): Lookback period for order block detection - Filter by FVG: Requires Fair Value Gap confirmation - Max Bars Between OB and FVG (1-6): Distance tolerance for FVG filtering - Line Height: Choose between Body or Wick for order block boundaries - Prevent Overlapping OBs: Avoids drawing overlapping zones - Max Order Blocks to Display (1-50): Limits active blocks on chart - Length of Boxes (10-100): Horizontal projection length █ HOW TO USE 1. Add the indicator to your TradingView chart 2. Configure settings based on your trading timeframe and style 3. Watch for OB+ labels (bullish order blocks) as potential support zones where price may bounce 4. Watch for OB- labels (bearish order blocks) as potential resistance zones where price may reverse 5. Wait for price retracement to the order block zone before taking entries 6. Use confirmation signals like volume spikes or reversal patterns at the order block 7. Place stop loss just outside the order block boundary to manage risk 8. Monitor mitigation: Order blocks disappear when price breaks through them completely █ TRADING STRATEGY EXAMPLES Bullish Order Block Strategy Wait for a market structure shift from bearish to bullish. When price creates a bullish impulse breaking a fractal high, identify the OB+ zone. Enter long positions when price retraces to test the bullish order block, placing stop loss 10-20 pips below the zone's low. Target previous highs or resistance levels. Bearish Order Block Strategy Monitor for market structure shift from bullish to bearish. After price creates a bearish impulse breaking a fractal low, locate the OB- zone. Enter short positions when price retraces to test the bearish order block, placing stop loss 10-20 pips above the zone's high. Target previous lows or support levels. FVG-Confirmed Entries Enable FVG filtering to only display order blocks validated by Fair Value Gaps. These aligned setups increase probability as they combine institutional order placement with market inefficiencies. Trade retracements to these high-confluence zones for better risk-reward ratios. █ IDEAL FOR - ICT Traders: Follows Inner Circle Trader methodology for institutional order flow - Smart Money Concepts: Tracks where large players place orders - Swing Traders: Identifies key support/resistance for multi-day holds - Price Action Traders: Pure chart-based approach without lagging indicators - Breakout Traders: Confirms structure breaks with fractal patterns - Forex, Crypto, and Stock Markets: Works on all liquid markets and timeframes █ TECHNICAL SPECIFICATIONS - Max Boxes: 500 - Max Labels: 500 - Detection Method: 5-bar fractal pattern recognition - Mitigation Logic: Automatic removal when price breaks order block boundaries - Time Projection: Uses time offset calculations for box extension - Array Management: Dynamic array cleanup to prevent memory issues █ NOTES & DISCLAIMERS - Order blocks work best when combined with overall market context and trend analysis - Not all order blocks result in price reversals; use proper risk management - FVG filtering may reduce the number of signals but increases quality - Fractal patterns require 5 bars to form, causing a 2-bar delay in detection - Works optimally on higher timeframes (4H, Daily) for institutional footprints - This indicator does not guarantee profitable trades; always use stop losses - Past performance of order blocks does not predict future results - Compatible with other ICT concepts like liquidity sweeps and market structure
อินดิเคเตอร์ Pine Script®
โดย TehThomas
11