지금 시작

Smartmoney

AVANTI MASTER PRO FINAL**AVANTI MASTER PRO FINAL – Smart Intraday Trading System with Auto RR** AVANTI MASTER PRO FINAL is a smart intraday trading indicator designed to identify high-probability breakout and breakdown opportunities using multiple confirmations such as trend, momentum, volume behavior, and market structure. The indicator combines EMA trend analysis, RSI momentum, ADX trend strength, volume buildup analysis, and breakout scoring to generate clear AVANTI BUY and AVANTI SELL signals. It also automatically plots Entry, Stop Loss, and three target levels (TP1, TP2, TP3) on the chart to help traders manage risk and reward effectively. Key Features: • Smart AVANTI BUY / AVANTI SELL signals • Automatic Entry, Stop Loss, TP1, TP2, TP3 levels • Breakout probability scoring system • Trend detection using EMA 9, EMA 30, and EMA 200 • RSI momentum confirmation • ADX based trend strength detection • Volume buildup analysis (Long Buildup, Short Buildup, Short Covering, Long Unwinding) • Built-in dashboard showing trend status, RSI, ADX, buildup type, and breakout probability • Clean chart structure with automatic removal of old signals Best Timeframes: 5 Minute and 15 Minute Intraday Trading Recommended Instruments: NIFTY, Stock Options, Crude Oil, Natural Gas Developed By: **Avanti Stocks – Satish D. Nakhate** Note: This indicator is created for educational and analytical purposes only. Always follow proper risk management while trading.
Pine Script® 인디케이터
avantistocks의
Dow Jones Institutional [MarkitTick]💡 This indicator provides a self-contained, institutional-grade market breadth suite specifically engineered for the Dow Jones Industrial Average. By directly computing the aggregate data of 30 component stocks, it delivers highly accurate internal market health metrics without relying on delayed or third-party breadth indices. It calculates five foundational market metrics dynamically, plotting them alongside an automated statistical dashboard and real-time divergence detection. ✨ Originality and Utility ● Self-Contained Breadth Engine Standard market breadth indicators often require external data feeds that may not be available across all brokerages or may suffer from latency. This tool is highly original because it loops through the exact 30 components of the Dow Jones, applying predefined institutional weightings to construct its own proprietary data feed. ● Multi-Dimensional Metric Suite Instead of cluttering the chart with multiple scripts, this tool consolidates five crucial breadth measurements into a single, seamless interface. Users can instantly switch between absolute momentum, volume flow, and standard deviation models depending on their analytical needs. ● Strict Anti-Repainting Architecture The script utilizes historical data offsets within its security requests to ensure that all signals, statistics, and divergences are firmly locked upon bar close. This prevents the common pitfall of repainting and provides a reliable foundation for objective analysis. 🔬 Methodology and Concepts ● The Internal Calculation Loop The core of the indicator relies on a single-pass data loop that evaluates the previous closing price, previous volume, and the price change of all 30 Dow components. It categorizes each asset as advancing, declining, or unchanged, and tallies both their raw count and their associated volume and liquidity. ● Supported Market Metrics Advance/Decline Line: A cumulative sum of the net difference between advancing and declining issues, offering a broad view of market participation. McClellan Oscillator: Derived by subtracting a slow exponential moving average (EMA) of the daily advance/decline ratio from a fast EMA of the same ratio. This highlights short-term shifts in breadth momentum. McClellan Z-Score (Inst): Applies a standard deviation transformation to the McClellan Oscillator over a lookback period, normalizing the data to highlight institutional overbought and oversold extremes. Arms Index (TRIN): A volume-weighted breadth measurement calculated by dividing the Advance/Decline Ratio by the Advance/Decline Volume Ratio. Cumulative Weighted Liquidity: Tracks the net monetary flow based on stock-specific weightings and closing prices, scaled down for readability. ● Divergence Engine The script continuously compares the selected breadth metric against the actual Dow Jones Industrial Average index. Using pivot highs and lows, it detects both regular and hidden divergences, marking structural disconnects between market price and underlying participation. 🎨 Visual Guide ● Main Chart Elements Main Series Line: The primary plotted line representing the selected metric (e.g., McClellan Z-Score). Its color is defined by the Main Value Color setting. Moving Average: A smoothed line tracking the main series, offering a clearer view of the prevailing trend. Institutional Bounds: When using the Z-Score mode, dashed lines appear at the +2.0 and -2.0 levels, marking statistical extremes. ● Divergence Markers Regular Bullish Divergence: Displayed as a dashed line connecting pivot lows when the breadth metric is rising but the index is falling. Hidden Bullish Divergence: Displayed as a dotted line when the breadth metric is falling but the index is making higher lows. Regular Bearish Divergence: A dashed line on pivot highs marking falling breadth against rising index prices. Hidden Bearish Divergence: A dotted line indicating rising breadth while the index trend remains structurally bearish. ● Statistical Dashboard A dynamic table anchored to the bottom right of the chart provides real-time data on the current bar. It displays Advancing/Declining counts, Net Volume percentages, Total Liquidity, and the current TRIN value, color-coded based on positive or negative net flow. 📖 How to Use ● Trend Confirmation Use the Advance/Decline Line or Cumulative Liquidity modes to confirm the primary trend. If the Dow Jones is reaching new highs but the A/D line is failing to follow suit, it signals poor participation and a potential impending reversal. ● Mean Reversion Trading Switch to the McClellan Z-Score mode to identify exhaustion points. Readings extending beyond the +2.0 or -2.0 thresholds indicate that the market is statistically overextended. A cross back inside these bands can serve as a trigger for a mean-reversion setup, which is also supported by automated alerts. ● Divergence Trading Monitor the automated divergence lines. A Regular Bullish Divergence printed at a significant support level on the index provides a high-probability indication that underlying buying pressure is accumulating, even as the visible price continues to drop. ⚙️ Inputs and Settings ● General Settings Select Metric: The dropdown menu allowing you to choose which breadth calculation to display. ● Timeframe Configuration Enable Automatic Timeframe Configuration: When enabled, the script dynamically adjusts the moving average and EMA lengths based on whether you are viewing an intraday, daily, or weekly chart. ● Manual Overrides MA Length: Defines the lookback for the secondary moving average. McClellan Fast/Slow EMA: Adjusts the sensitivity of the McClellan calculations. Z-Score Lookback: Determines the historical sample size used for the standard deviation calculation. Divergence Pivot Size: Sets the strictness of the pivot high/low detection for divergence plotting. ● Visual Configuration Allows complete customization of the colors used for the main line, moving averages, divergence lines, and dashboard text. 🔍 Deconstruction of the Underlying Scientific and Academic Framework ● Market Breadth Theory The script is fundamentally rooted in the academic premise of market breadth, which posits that a healthy market trend must be supported by the majority of its constituent assets. If a major index is driven by a small handful of heavily weighted stocks while the majority decline, the structural integrity of the trend is compromised. ● Standard Deviation and Z-Score Normalization By applying a Z-Score transformation to the McClellan Oscillator, the indicator utilizes statistical normalization. The Z-Score calculates the number of standard deviations a data point is from the mean. In financial modeling, a Z-score beyond 2.0 or -2.0 encompasses roughly 95% of the data distribution, meaning instances outside these bounds represent significant anomalies or extreme institutional imbalances. ● Volume-Weighted Price Analysis The inclusion of the Arms Index (TRIN) and Cumulative Weighted Liquidity introduces volume as a confirming variable. Academic research indicates that price movements supported by expanding volume carry higher validity. By comparing the ratio of advancing/declining issues to their respective volume flows, the script filters out low-conviction market noise. ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Pine Script® 인디케이터
MarkitTick의
Volume Weighted Trend AdvancedDescription: Volume Weighted Trend Advanced is a trend-following strategy built on a Volume Weighted Moving Average (VWMA) with adaptive ATR-based bands. It uses a multi-layer confirmation system to score signal quality before entering any trade. How It Works Price is plotted against a dynamic VWMA band. When price breaks above the upper band, a bullish trend is confirmed. When it breaks below the lower band, a bearish trend is confirmed. An optional blending mode smoothly transitions between a fast and slow VWMA depending on market choppiness. The ATR multiplier can be fixed or adaptive — in adaptive mode, it automatically widens during high-volatility regimes and tightens during low-volatility periods, based on the position of the current ATR within its historical range. Signal Quality Score (0–100%) Each signal is scored across four optional confirmation filters: Choppiness Index — blocks signals in ranging markets (default threshold: 61.8) ADX — requires a trending environment above a set minimum Volume Filter — requires volume to exceed its moving average Multi-Timeframe Alignment — only allows longs/shorts when the higher timeframe trend agrees Only signals that pass all active filters are classified as confirmed and trigger strategy entries. Risk Management ATR-based stop-loss and take-profit levels are calculated at entry. Default settings use a 1:2 R:R ratio (SL = 1.5× ATR, TP = 3.0× ATR). Lines are drawn on the chart for visual reference. Visuals VWMA glow effect and colored band ribbons Bar coloring reflects trend direction and confirmation status Faded shapes mark raw (unconfirmed) signals; solid shapes mark confirmed entries Optional volume spike markers Stats table showing live filter states, quality score, volatility regime, ATR multiplier, and blend weight Settings All inputs are grouped into: Core, Adaptive Engine, Filters, Multi-Timeframe, Risk Management, Visuals, and Alerts. Sensible defaults are included — no manual tuning required to get started. Past performance is not indicative of future results. This script is for educational purposes only and does not constitute financial advice. Always use proper risk management.
Pine Script™ 전략
JaxonJackFX의
Apex Edge - Liquidity AtlasLiquidity Atlas maps where price is most likely to travel next by scoring liquidity magnets inside an internal volume profile. Description Liquidity Atlas is a probability-driven liquidity mapping tool designed to highlight where price is most likely to move next. Instead of simply marking liquidity zones, the engine evaluates multiple liquidity structures and ranks them based on their probability of being targeted by price. The indicator activates only when price interacts with structural liquidity bins, filtering out mid-range noise and focusing on true decision zones. Key Concepts Liquidity Atlas evaluates: • High-volume liquidity shelves • Equal highs / equal lows (EQH / EQL) • Daily liquidity levels • Liquidity sweeps • Path efficiency (vacuum vs resistance) • Shelf strength and repeated touches • Distance weighting from current price These elements are combined into a scoring engine that estimates the most probable liquidity destination. Visual Guide Solid line = Primary liquidity magnet Dashed line = Secondary liquidity zone HUD panel displays: • Bullish / Bearish probability • Market phase (Compression / Equilibrium / Expansion) • Engine confidence • Next liquidity magnet direction How To Use 1. Wait for System Status: Active Signals 2. Observe the primary projection line 3. Trade toward the projected liquidity magnet 4. Use secondary zones as potential reaction areas Best results occur when price interacts with structural bins, as this is where liquidity decisions occur. Important Notes Liquidity Atlas does not predict price with certainty. It estimates the most efficient liquidity path based on current market structure. Markets can still deviate if new liquidity forms or structural conditions change.
Pine Script® 인디케이터
ApexEdge의
1
Contrarian Extremes: VIX + Put/Call (CPC, PCC)What this indicator does (in one line :) ): It highlights sentiment extremes using only CPC, PCC , and VIX , so you can spot the moments when the market is most likely overreacting. Most indicators try to “predict” price. This one is simpler, it tracks Fear vs Euphoria and marks the zones where emotions are stretched. The 3 inputs behind it INDEX:CPC (TotalPut/Call) --> broad options sentiment USI:PCC --> equity/retail-style fear proxy CBOE:VIX --> volatility stress / hedging pressure What you’ll see on the chart The script paints the background based on 3 regimes: 🫨 Panic --> extreme stress (capitulation-type conditions) --> 🎶 The background music is (Melancholy Man by The Moody Blues) 😨 😰 Fear / Risk-Off --> elevated fear --> defensive positioning 😌 Complacency / Calm --> low fear --> “everything is fine” mode --> 🎶 The background music is (What a Wonderful World by Louis Armstrong) 😁 All thresholds and colors are fully customizable in the Inputs, so you can also change the criteria to get higher or lower frequency signals on the chart. How I personally interpret it (as a long-term investor) In my backtests, this indicator behaves like a contrarian compass: Fear / Panic zones often show up close to better long-term buy areas (not perfect timing, but good asymmetric entries). Complacency zones often show up near better long-term reduce / take-profit areas (or at least be careful with fresh risk here). This is not magic and it’s not a buy/sell button. Markets can stay fearful or complacent longer than you expect. But as a long-term investor , this helps you stop chasing hype and start scaling decisions around emotion extremes. A simple long-term workflow: Use Daily or Weekly timeframe. When Fear/Panic appears: consider scaling in (DCA entries, add on confirmation, respect your risk limits). When Complacency appears: consider scaling out, tightening risk, or being picky with new buys. Always combine with basics: trend, levels, market structure, and risk management. Where it tends to work best Interestingly, this doesn’t only fit S&P/Nasdaq. It also behaves well on: OANDA:XAUUSD & OANDA:XAGUSD Large-cap stocks ( NASDAQ:AAPL NASDAQ:NVDA NASDAQ:MSFT NASDAQ:GOOG NASDAQ:AMZN NASDAQ:TSLA NASDAQ:META ) BINANCE:BTCUSD & BINANCE:ETHUSD In general, it tends to work better (i.e. helps you more) in markets that move more on fear and greed and less on deep fundamental re-pricing. ⚠️ Disclaimer: educational tool only. No indicator is a guarantee. Use proper position sizing and understand the product you trade.
Pine Script® 인디케이터
SamanFx0의
Smart Pivot Reversals [identityKa]Title: Smart Pivot Reversals Description: Welcome to another high-performance trading tool by identityKa. The Smart Pivot Reversals is a highly sensitive price action engine designed to map out market structure by identifying key swing highs (TOPS) and swing lows (BOTTOMS) with absolute precision. Unlike traditional delayed oscillators, this script directly analyzes raw candlestick formations to detect precise turning points in the market. 🔥 Key Features: Dynamic Pivot Engine: Automatically detects and labels "TOP" and "BOTTOM" on significant market turns, making it visually effortless to read market structure (Higher Highs, Lower Lows). Adjustable Sensitivity: Full control over the lookback (Left Bars) and confirmation (Right Bars) periods. Lower the sensitivity for aggressive scalping or increase it to catch macro swing points only. RSI Divergence Mode: Includes an optional "Strict Mode" that forces the engine to only print reversals if the RSI is in overbought/oversold extreme territories, effectively filtering out market noise. Smart HUD Dashboard: Features the signature identityKa real-time dashboard, displaying the last detected market structure and providing an instant AI Suggestion (LONG, SHORT, or Dangerous). 💡 How to Use It: This indicator acts as a flawless historical map of market liquidity and pivot zones. Support/Resistance: Use the printed TOP and BOTTOM labels to draw your horizontal supply and demand zones. Confluence: Use it alongside the Alpha SuperTrend to validate your entries. Do not trade reversals in a strong trending market without additional price action confirmation. ⚙️ Settings & Customization: Includes fully customizable aesthetics matching the identityKa neon brand palette, adjustable dashboard positions, and built-in non-repainting alerts for confirmed market turning points. Elevate your chart quality. Trade with precision. Trade with identityKa.
Pine Script® 인디케이터
IdentityKa의
4
Fair Value Gap Signals [UAlgo]Fair Value Gap Signals is a price action indicator that detects bullish and bearish Fair Value Gaps and then tracks how price behaves inside those gaps over time. Instead of only drawing static imbalance boxes, the script treats each FVG as a stateful object with live metrics, lifecycle states, mitigation logic, and optional rejection signals. This makes it useful for traders who want both structural FVG mapping and real time interaction analysis after the gap is created. The indicator runs on price ( overlay=true ) and automatically identifies classic 3 candle FVG formations. Each detected gap is stored in an internal object with its own box, CE midline, metric bars, status, and signal label handling. As price revisits a gap, the script measures how deeply price penetrates the zone, how much volume is accumulated during tests, and how strong the test candles are in terms of directional body expansion (velocity style scoring). A key design goal of this script is practical decision support. It can show: Fresh gaps Testing behavior Filled or invalidated gaps Rejection events (potential reversal signals) Live VVD style metrics (Velocity, Volume, Depth / Safety) inside the FVG It also includes an ATR filter to ignore small gaps, visibility limits to keep charts clean, optional CE midline plotting, and alert conditions for major gap events. 🔹 Features 🔸 1) Automatic Bullish and Bearish FVG Detection The script detects standard 3 candle Fair Value Gaps using simple price displacement logic: Bullish FVG when current low is above high from two bars ago Bearish FVG when current high is below low from two bars ago When a gap is confirmed, it is stored as a custom Gap object and immediately drawn on the chart with its own box, CE midline, and metric containers. 🔸 2) Stateful FVG Lifecycle Tracking Each gap is tracked through multiple statuses instead of being treated as a static box: Fresh Testing Tested Rejected Filled This allows the indicator to model how price interacts with a gap over time and not just where the gap originally formed. 🔸 3) Configurable Mitigation Method (Close or Wick) Users can choose how FVG mitigation is confirmed: Close means invalidation requires a close through the far boundary Wick means a wick touch through the far boundary is enough This is a very useful option because traders often use different mitigation definitions depending on instrument and timeframe. 🔸 4) ATR Based Gap Size Filter An optional ATR filter removes smaller gaps that may be insignificant in volatile conditions. When enabled, the script ignores bullish or bearish FVGs whose size is smaller than the current ATR value (using the chosen ATR length). This helps reduce noise and keeps the display focused on stronger imbalances. 🔸 5) CE Midline (Consequent Encroachment) Support Each FVG can display a dotted midline representing the center of the gap (Consequent Encroachment). This gives traders an additional reference inside the imbalance and is commonly used as a reaction level in ICT style workflows. The CE line can be turned on or off with a dedicated input. 🔸 6) VVD Metrics Inside Each Gap (Velocity, Volume, Depth) One of the strongest features of this script is the live metric visualization inside every active gap. The indicator tracks and displays three bar style metric boxes: Velocity Volume Depth (rendered as a safety style score from penetration depth) These metrics update as price tests the gap and provide a quick visual estimate of test quality, participation, and penetration risk. 🔸 7) Rejection Signal Detection with Context When price enters a gap and then rejects from it with sufficient test volume, the script can print a directional signal label. Bullish gaps can generate Buy or Strong Buy labels and bearish gaps can generate Sell or Strong Sell labels. Signal strength is influenced by the velocity metric, and the tooltip includes extra details such as velocity score, volume score, safety score, and test count. 🔸 8) Test Counting and Multi Test Awareness The indicator keeps track of how many times a gap has been tested. This can help traders distinguish first touch behavior from repeated interactions that may weaken the setup. The test count can also be displayed as text inside the main FVG box when metrics are enabled. 🔸 9) Visibility Control for Cleaner Charts To avoid clutter, the script limits how many active bullish and bearish gaps are visually displayed at once using Max Visible FVGs . It scans from newest to oldest and only shows the most recent valid gaps per side. Older or non visible gaps still exist in logic and continue updating internally, but their visuals are hidden. 🔸 10) Smart Object Cleanup and Retained Signal Labels The script enforces an internal gap limit and removes older gap objects when needed. Gap boxes, CE lines, and metric boxes are deleted during cleanup, while rejection labels are intentionally allowed to remain on the chart for historical context. This gives users a cleaner display while preserving past signal markers. 🔸 11) Alert Conditions for Key FVG Events Built in alert conditions are provided for: New FVG formed FVG testing (price enters a gap) FVG filled (mitigated / invalidated) FVG rejection signal (potential reversal) This makes the script suitable for active monitoring across multiple charts or watchlists. 🔹 Calculations 1) Bullish and Bearish FVG Detection Logic The script uses classic 3 candle gap conditions: bool fvgBull = low > high bool fvgBear = high < low Interpretation: A bullish FVG exists when the current candle low leaves a gap above the high from two bars ago. A bearish FVG exists when the current candle high leaves a gap below the low from two bars ago. When detected, the script creates a Gap object and stores: Top boundary Bottom boundary Direction Origin index Status and metrics Visual objects (main box, metric boxes, midline, label handle) 2) ATR Filter for Minimum Gap Size If the ATR filter is enabled, the script compares gap size with ATR and rejects undersized gaps: float atrVal = ta.atr(atrLength) float gapSizeBull = low - high float gapSizeBear = low - high if fvgBull and gapSizeBull < atrVal fvgBull := false if fvgBear and gapSizeBear < atrVal fvgBear := false This creates a volatility adjusted threshold for FVG relevance. 3) Gap Object Initialization and Visual Construction When a new gap is created, the setup method initializes both state and visuals: Main FVG box CE midline Three metric boxes (Vel, Vol, Dpt) The main box is drawn from the origin index to a small forward projection: g.paramBox := box.new(left = idx, top = top, right = bar_index + 5, bottom = bottom, ...) The CE line is placed at the midpoint: float midY = (top + bottom) / 2 The metric area is split into three horizontal segments inside the gap height so each metric can expand in width over time. 4) Gap Status Model and State Transitions Each gap starts as Fresh . As price interacts with the gap, the script can move it through: Testing when price enters the zone Tested when price leaves after a test Rejected when rejection conditions are met Filled when mitigation occurs This logic is implemented inside the update() method, which runs every bar for each stored gap. 5) Test Detection and First Touch Handling The script avoids counting the forming bar as a test: bool canTest = bar_index > g.index + 1 A gap is considered under test when the current candle range overlaps the gap: bool isInside = canTest and (h >= g.bottom and l <= g.top) When price first enters a fresh gap: if g.status == "Fresh" g.status := "Testing" g.testCount := 1 g.testStartVolume := volume eventCode := 1 This event code is later used for the FVG Testing alert condition. 6) Velocity Metric Calculation Velocity is a bar quality style score calculated during gap tests. It combines body dominance and a directional bonus: float bodyRatio = math.abs(close - open) / barRange Directional bonus: Bullish gap gets bonus if the test candle closes bullish Bearish gap gets bonus if the test candle closes bearish float currentVelocity = math.min(bodyRatio + directionBonus, 1.0) The gap stores the maximum velocity observed across all tests: if currentVelocity > g.maxVelocity g.maxVelocity := currentVelocity Interpretation: Higher velocity suggests stronger directional response while testing the gap. 7) Volume Metric Calculation During tests, the script accumulates test volume: if isInside g.testVolume += volume Later, it compares the accumulated test volume to an expected volume estimate: float expectedVol = volAvg * math.max(1, (bar_index - g.index) / 2) float volScore = math.min(g.testVolume / expectedVol, 1.0) This creates a normalized volume score used in both the metric bar length and the rejection label tooltip. 8) Depth Metric and Safety Score Calculation Depth tracks how far price penetrates into the gap during tests. For bullish gaps: Depth is measured from gap top downward when price dips below the top boundary. For bearish gaps: Depth is measured from gap bottom upward when price rises above the bottom boundary. Examples: if g.isBullish if l < g.top currentDepth := g.top - l else if h > g.bottom currentDepth := h - g.bottom The maximum penetration depth is stored: if currentDepth > g.maxDepth g.maxDepth := currentDepth The displayed metric is a safety style score: float depthRatio = g.maxDepth / gapSize float safetyScore = math.max(0.0, 1.0 - depthRatio) Interpretation: Deeper penetration reduces safety score and may imply weaker rejection quality. 9) Fill / Mitigation Logic (Close or Wick) A gap is marked Filled when price crosses the far boundary in the inverse direction, according to the selected mitigation method: if mitType == "Close" filledInverse := g.isBullish ? (close < g.bottom) : (close > g.top) else filledInverse := g.isBullish ? (l < g.bottom) : (h > g.top) When filled: Status becomes Filled Gap is deactivated Event code becomes 2 Gap visuals are deleted This event code feeds the FVG Filled alert condition. 10) Rejection Signal Logic Rejection is checked only while the gap is active and price is inside the gap. The script also requires enough accumulated test volume: if isInside and g.testVolume > volAvg * 0.5 Rejection condition: Bullish gap rejection if price probes below the gap top and closes back above the gap top Bearish gap rejection if price probes above the gap bottom and closes back below the gap bottom bool rejected = g.isBullish ? (l < g.top and close > g.top) : (h > g.bottom and close < g.bottom) When rejection is confirmed: Gap status becomes Rejected Optional signal label is drawn (Buy, Strong Buy, Sell, Strong Sell) Event code becomes 3 This event code feeds the FVG Rejection Signal alert condition. 11) Signal Strength and Tooltip Metrics When a rejection signal is printed, the script builds a tooltip with normalized scores: Velocity score from maxVelocity Volume score from testVolume versus expectedVol Safety score from gap penetration depth Test count It also upgrades the signal text to Strong Buy or Strong Sell when max velocity exceeds 0.6: if g.maxVelocity > 0.6 icon := g.isBullish ? "Strong Buy" : "Strong Sell" This provides a compact label with deeper context available on hover. 12) Visibility Limiting and Render Hiding The script iterates through gaps from newest to oldest and shows only the most recent active bullish and bearish gaps up to maxVisible per side. Non visible gaps are not deleted, but their visuals are hidden by setting colors and text to na . This is useful for traders who want a focused view of current opportunities without losing older gap state tracking in the background. 13) Metric Bar Rendering Logic Each metric box grows horizontally from the gap origin according to a normalized score: Velocity length from maxVelocity Volume length from volScore Depth / Safety length from safetyScore Example: int len1 = int(math.max(1, maxWidth * velScore)) g.rankBox1.set_right(g.index + len1) If metric display is disabled, the script hides the metric boxes and text while keeping the gap logic active. 14) Array Cleanup and Object Management The script enforces a strict gap storage limit with GAP_LIMIT . When exceeded, the oldest gap is removed and its visuals are deleted: if gaps.size() > GAP_LIMIT gaps.cleanup() The cleanup method deletes: Main gap box CE midline Velocity metric box Volume metric box Depth metric box Rejection info labels are intentionally preserved for historical review. 15) Alert Conditions The script exposes four alert conditions: alertcondition(fvgBull or fvgBear, "New FVG Formed", ...) alertcondition(anyTesting, "FVG Testing", ...) alertcondition(anyFilled, "FVG Filled", ...) alertcondition(anySignal, "FVG Rejection Signal", ...) These alerts are driven by the live event codes returned from each gap's update() call and make the indicator suitable for workflow automation.
Pine Script® 인디케이터
UAlgo의
Fractal Structure Model [Pro]Fractal Structure Model A professional-grade multi-timeframe price action indicator that automates the identification of expansion setups by analyzing lower timeframe movements within higher timeframe candle structures. <h 🔷 What This Indicator Does Markets move in fractal cycles — alternating between contraction (consolidation) and expansion (directional movement). This indicator detects the precise moment when expansion is likely to begin by combining: Higher Timeframe directional candle closures Lower Timeframe confirmation through Change in State of Delivery (CISD) Automated projection of future price targets Real-time setup tracking with success/failure detection ⚙️ Core Components 1. Automatic Timeframe Pairing The indicator intelligently pairs your chart timeframe with a higher timeframe for multi-timeframe analysis: 1min → 5min 3min → 15min 5min → 1Hour 15min → 4Hour 1Hour → Daily 4Hour → Weekly Manual override is available for custom pairings. The indicator validates pairings and displays warnings for invalid configurations. 2. HTF Power of Three (PO3) Candles Visualizes the higher timeframe candle directly on your lower timeframe chart: Translucent body box (open to close range) Wick lines extending to high and low Dashed open price reference line Timeframe badge label This allows you to observe how micro price action constructs the macro candle — identifying accumulation, manipulation, and distribution phases in real time. 3. Change in State of Delivery (CISD) The CISD is the confirmation signal that price has shifted from one directional bias to another. Bullish CISD Logic: text - Price was making lows (testing swing low area) - A candle closes above its open AND above the previous candle's high - This signals sellers have exhausted and buyers are taking control Bearish CISD Logic: text - Price was making highs (testing swing high area) - A candle closes below its open AND below the previous candle's low - This signals buyers have exhausted and sellers are taking control Visual: A highlighted box around the CISD candles with a directional label. Use Case: After the 1-Hour candle closes bullish, you watch the 5-minute chart for a bullish CISD near a swing low. When it triggers, it confirms that the new hour is likely to continue expanding upward. 4. Setup Detection A complete setup requires two conditions: Condition Description HTF Directional Close The previous HTF candle closed bullish or bearish LTF CISD Confirmation A change in delivery state occurs on the lower timeframe When both align, the indicator generates a setup signal with a bold vertical bar and a large directional label. Use Case: The previous 4-Hour candle closed strongly bearish. On your 15-minute chart, you see price briefly push up into a swing high, then a bearish CISD fires. The indicator marks this as a Bear Setup, telling you expansion to the downside is probable. 5. Candle Tracking (C1 through C4+) Once a setup triggers, the indicator tracks how many HTF candles have elapsed: Label Meaning Color C1 ✓ First candle — setup just formed Gray C2 ✓ Second candle — setup active and healthy Gray C3 ⚠ Third candle — potential slowdown/consolidation Orange C4 ⚠ Fourth candle — likely exhaustion Orange Any ✗ Price returned to setup origin — failure Red Failure Condition: Bullish setup fails if price drops below the setup low Bearish setup fails if price rises above the setup high Use Case: You entered a bullish trade on C1. By C2, price has expanded nicely. On C3, the label turns orange — you consider tightening your stop or taking partial profits because momentum may be fading. If it turns red, you know the setup has been invalidated. 6. Equilibrium + Premium/Discount Zones The Equilibrium (EQ) is the 50% level of the setup range (from setup high to setup low). Zone Location Meaning Premium Above EQ Price is expensive — favorable for shorts Discount Below EQ Price is cheap — favorable for longs Visual: Two shaded boxes with text labels ("PREMIUM" / "DISCOUNT") and a dashed EQ line. Use Case: After a bullish setup fires, price retraces. You see it enter the discount zone (below 50%). This is your optimal entry area — buying at a discount within a confirmed bullish structure. 7. T-Spot Identification The T-Spot marks where the higher timeframe candle's wick is anticipated to form — essentially a reversal or continuation point. Calculation: 23.6% from the setup extreme (based on Fibonacci-like proportioning of the range). Visual: A dotted line with a thin zone box and "T-SPOT" label. Use Case: In a bullish setup, the T-Spot sits near the top of the range. If price reaches this level and shows signs of rejection, it may indicate the HTF candle's high wick is forming — a potential point to take profits or expect a pullback. 8. Projection Levels Once a setup is confirmed, the indicator projects future price targets based on the range between the CISD price and the swing reference point. Default Projections: Level Calculation Purpose -1× 1× the CISD range First target — minimal expansion -2× 2× the CISD range Standard expansion target -2.5× 2.5× the CISD range Extended target -4× 4× the CISD range Full expansion -4.5× 4.5× the CISD range Maximum expected expansion Each projection has: A solid line at the level A thin zone box for visibility A multiplier label (e.g., "-2×") Progressive transparency (closer targets are more opaque) Use Case: A bearish setup fires. You set your take-profit at the -2× projection. If price reaches -2× and shows exhaustion, you exit. If momentum continues, you trail toward -4×. 9. Formation Liquidity Marks the previous HTF candle's high and low as critical liquidity levels. Visual: Dotted horizontal lines labeled "LIQ $.H" (high) and "LIQ $.L" (low). Use Case: Before a new setup forms, price often sweeps the previous candle's high or low to grab liquidity. Watching these levels helps you anticipate: Where stop losses are clustered Where engineered liquidity raids may occur Potential reversal points after the sweep 10. Candle 1 Liquidity Solid horizontal lines marking the setup's own high and low — the structural boundaries. Use Case: These are your invalidation levels. If a bullish setup's low is broken, the setup fails. These lines give you a clear visual reference for stop-loss placement. 11. Swing Structure Markers Small diamond symbols (◆) at detected swing highs and lows. Use Case: Helps you see the market's structural rhythm — where swing points form relative to the HTF candle. Useful for identifying when price is building higher lows (bullish) or lower highs (bearish). 12. Bias Selection Mode What It Shows Bullish Only bullish CISD signals and setups Bearish Only bearish CISD signals and setups Neutral Both directions Use Case: You've done your daily analysis and determined the market is in a bullish trend. You set bias to "Bullish" to filter out counter-trend bearish signals and focus exclusively on buy setups. 13. Time Filters Three configurable UTC time windows. Setups outside these windows are ignored. Example Configuration: Session 1: 08:00 - 11:00 (London Open) Session 2: 13:00 - 16:00 (New York Open) Session 3: OFF Use Case: You only want to trade during London and New York sessions because that's when the most volume and expansion occurs. The indicator automatically suppresses signals during Asia session or off-hours. 14. Professional Info Table A dark-themed dashboard showing: Field Example Value Pairing 5 → 60 Status ✓ Valid Bias ▲ Bullish Setup ▲ Bull C2 Auto TF ● Enabled Sessions 8:00-11:00 13:00-16:00 Total 12 setups 15. Alerts Alert Trigger Bullish Fractal Setup Full bullish setup confirmed Bearish Fractal Setup Full bearish setup confirmed Bullish CISD Bullish delivery change detected Bearish CISD Bearish delivery change detected Setup Failed Active setup invalidated Trading Workflow — Complete Use Case Scenario: Trading EUR/USD on the 5-Minute Chart Step 1 — Preparation - Open 5min chart - Indicator auto-pairs to 1H HTF - Set bias to "Neutral" - Enable London + NY time filters Step 2 — Wait for HTF Context - Watch the PO3 candle building the current hour - Previous 1H candle closed bullish - Current hour opens → you watch for a pullback Step 3 — CISD Confirmation - Price pulls back to a 5min swing low - A 5min candle closes above its open and above the prior high - CISD marker appears → Bullish Setup triggers - Labels, projections, EQ zones all appear automatically Step 4 — Entry - Price is in the DISCOUNT zone (below EQ) - Enter long near the CISD level - Stop loss below the C1 Liquidity low line Step 5 — Management - C1 label shows ✓ — setup is fresh - Price reaches -1× projection → move stop to breakeven - C2 label appears ✓ — momentum continues - Price hits -2× projection → take 50% profit - C3 label turns orange ⚠ — trail stop tightly - Price reaches -2.5× → close remaining position Step 6 — Failure Scenario - If price drops below setup low before hitting targets - C2 label turns red ✗ - Projections, EQ, T-Spot all disappear - You exit the trade at your stop loss Who Is This Indicator For? Trader Type How They Use It Day Traders 1min/5min charts paired with 15min/1H for intraday setups Swing Traders 15min/1H charts paired with 4H/Daily for multi-day holds Scalpers 1min charts paired with 5min for quick expansion trades Analysts Use projections and structure labels for market commentary Key Strengths Non-repainting — levels remain stable once plotted Fully automated — no manual drawing required Multi-asset — works on forex, crypto, stocks, indices, commodities Adaptive — auto-adjusts to any timeframe Professional visuals — clean, institutional-grade appearance with black text on colored labels for maximum readability
Pine Script® 인디케이터
ZakAlgoTrade의
5
ICT Unicorn Model [UAlgo]ICT Unicorn Model is a chart overlay indicator that automates a practical interpretation of the ICT “Unicorn” concept by combining two core components: a Market Structure Shift style Breaker Block (BB) and a Fair Value Gap (FVG). The script first builds a rolling pivot map using configurable left and right pivot bars, then monitors those pivots for structure breaks that qualify as bullish or bearish breaker blocks. Separately, it detects 3 candle FVG imbalances with a minimum size filter. A Unicorn is confirmed when a newly printed FVG overlaps an active breaker block of the same direction. The output is built for real trading workflows and chart readability. Breaker blocks and FVGs can exist independently, but when they align, the script highlights the overlap region as a Unicorn zone and labels it. All zones extend forward in time and are automatically removed when mitigation or invalidation conditions are met. Optional session filtering is included to restrict detection to a specific trading window for killzone style usage. Educational tool only. Not financial advice. 🔹 Features 🔸 1) Pivot Based Structure Mapping The indicator uses built-in pivot detection to create a reliable swing framework. Both pivot highs and pivot lows are stored as structured objects that keep track of pivot time, bar index, pivot price, pivot direction, and whether that pivot has already been “broken” to prevent repeated processing. This pivot map becomes the backbone of the breaker block engine, allowing the script to reference meaningful swing points instead of reacting to minor noise. 🔸 2) Breaker Block Detection via Market Structure Shift Logic Breaker blocks are created when price breaks through an unbroken pivot in a way that signals a directional shift in structure. Bullish Breaker Block: price closes above an unbroken pivot high, then the script validates the context by locating two pivot lows around that pivot high and requiring a lower low relationship between them (LL style confirmation in this implementation). Once confirmed, a bullish breaker block zone is stored using the pivot candle’s full range. Bearish Breaker Block: price closes below an unbroken pivot low, then the script validates the context by locating two pivot highs around that pivot low and requiring a higher high relationship between them (HH style confirmation in this implementation). Once confirmed, a bearish breaker block zone is stored using the pivot candle’s full range. 🔸 3) Fair Value Gap Detection with Minimum Size Filter The FVG engine detects classic 3 candle price imbalances: Bullish FVG: current low is above high from two bars ago. Bearish FVG: current high is below low from two bars ago. A minimum FVG size filter is applied using raw price points so you can ignore tiny gaps that are usually filled immediately. This makes the script easier to adapt across different markets and timeframes. 🔸 4) Unicorn Confirmation via Directional Overlap A Unicorn is confirmed only when a newly printed FVG overlaps an active breaker block and both are in the same direction. The overlap test is a standard price interval intersection check, and the direction match ensures bullish FVGs only confirm bullish unicorns and bearish FVGs only confirm bearish unicorns. When a Unicorn is confirmed, the script draws a dedicated Unicorn zone covering the combined overlap footprint and prints a simple Bull or Bear label directly on the chart. 🔸 5) Optional Session Filter for Killzone Style Workflows A session filter can restrict detection to a specific time window. If enabled, the script only runs breaker block detection, FVG detection, and Unicorn confirmation while the current bar is inside the selected session. This is useful when you only want signals during higher participation windows. 🔸 6) Automatic Forward Extension, Mitigation, and Cleanup All zones behave as live objects: Breaker block boxes extend forward until invalidation. FVG boxes extend forward until mitigation. Unicorn boxes extend forward until the associated FVG mitigation condition is met. When a zone is mitigated or invalidated, its box and label objects are deleted and removed from internal arrays. This keeps the chart clean and prevents stale zones from accumulating. 🔸 7) Object and Memory Management for Chart Stability The script uses arrays of custom types (Pivot, BreakerBlock, FVG, Unicorn) and enforces internal history limits to reduce clutter and object growth. Older items are shifted out when limits are exceeded, and graphical objects are deleted when no longer valid to maintain stable chart performance. 🔹 Calculations 1) Time Filter (Session Gate) If the time filter is disabled, detection runs on every bar. If enabled, detection only runs when the chart time is inside the selected session. in_session = not use_time_filter or time(timeframe.period, time_session) != 0 Interpretation: If use_time_filter is false, in_session is always true. If use_time_filter is true, time() returns non-zero only while the bar is inside the session. 2) Pivot Detection and Pivot Object Storage Pivot highs and lows are detected using TradingView pivot functions with user-defined left and right bars. Pivots are confirmed after right_bars bars, so the stored pivot time and bar index are offset by right_bars to align the pivot to the originating candle. ph = ta.pivothigh(high, left_bars, right_bars) pl = ta.pivotlow(low, left_bars, right_bars) When a pivot is found: array.unshift(pivots, Pivot.new(time , bar_index , ph, true, false, high , low )) The pivot list is capped to keep the script lightweight: if array.size(pivots) > 20 array.pop(pivots) 3) Bullish Breaker Block Detection A bullish breaker is triggered when price closes above an unbroken pivot high. The script then searches for pivot lows around that pivot high and requires a lower low relationship between them. If this context check passes, the pivot is marked as broken and a bullish breaker block is stored. if p.isHigh and not p.isBroken and close > p.price ... if foundLL p.isBroken := true array.push(active_bbs, BreakerBlock.new(p.time, p.index, p.highPrice, p.lowPrice, true, true, na)) Breaker block zone definition is derived from the pivot candle: Top = pivot candle high Bottom = pivot candle low 4) Bearish Breaker Block Detection A bearish breaker is triggered when price closes below an unbroken pivot low. The script then searches for pivot highs around that pivot low and requires a higher high relationship between them. If this context check passes, the pivot is marked as broken and a bearish breaker block is stored. if not p.isHigh and not p.isBroken and close < p.price ... if foundHH p.isBroken := true array.push(active_bbs, BreakerBlock.new(p.time, p.index, p.highPrice, p.lowPrice, false, true, na)) 5) Fair Value Gap Detection and Sizing Bullish FVG requires current low to be above high . Bearish FVG requires current high to be below low . A minimum size filter is applied in points: bool isBullishFVG = low > high and (low - high ) >= fvg_min_volume bool isBearishFVG = high < low and (low - high) >= fvg_min_volume FVGs are stored with their start anchored to bar_index and time , matching the gap’s originating structure: if isBullishFVG array.push(active_fvgs, FVG.new(time , bar_index , low, high , true, false, na)) if isBearishFVG array.push(active_fvgs, FVG.new(time , bar_index , low , high, false, false, na)) 6) Overlap Rule for Unicorn Confirmation A Unicorn requires overlap plus direction agreement. The overlap is calculated as an interval intersection: method overlaps(BreakerBlock this, FVG fvg) => bool isOverlapping = (fvg.bottom <= this.top) and (fvg.top >= this.bottom) isOverlapping and (this.isBullish == fvg.isBullish) Interpretation: The FVG range must intersect the breaker block range, and both must be bullish or both bearish. 7) Unicorn Zone Construction When a new FVG prints, the script compares it against all active breaker blocks. If an overlap is found, it creates a Unicorn zone and a Bull or Bear label. The Unicorn box boundaries are computed using min and max edges between the BB and FVG: float topEdge = math.min(bb.top, latestFVG.top) float bottomEdge = math.max(bb.bottom, latestFVG.bottom) The Unicorn zone is then drawn and extended forward. 8) Mitigation and Invalidation Logic Breaker Block invalidation Bullish BB invalidates if close goes below BB bottom. Bearish BB invalidates if close goes above BB top. if (bb.isBullish and close < bb.bottom) or (not bb.isBullish and close > bb.top) bb.isActive := false if not na(bb.bbBox) box.delete(bb.bbBox) array.remove(active_bbs, i) FVG mitigation Bullish FVG mitigates if close goes below FVG bottom. Bearish FVG mitigates if close goes above FVG top. if (fvg.isBullish and close < fvg.bottom) or (not fvg.isBullish and close > fvg.top) fvg.isMitigated := true if not na(fvg.fvgBox) box.delete(fvg.fvgBox) array.remove(active_fvgs, i) Unicorn mitigation Unicorn zones are removed when the associated FVG mitigation condition is met: bool isMitigated = (uni.isBullish and close < uni.fvg.bottom) or (not uni.isBullish and close > uni.fvg.top) if isMitigated box.delete(uni.uniBox) label.delete(uni.uniLabel) array.remove(unicorns, i) 9) Forward Extension and Internal Limits Boxes are extended on each bar by updating right = bar_index + 5 to keep them projected slightly forward. Arrays are capped to control history size and object usage: if array.size(active_bbs) > 50 array.shift(active_bbs) if array.size(active_fvgs) > 50 array.shift(active_fvgs) if array.size(unicorns) > 50 array.shift(unicorns)
Pine Script® 인디케이터
UAlgo의
Diamond V5 : Institutional SMC & Liquidity EngineDiamond V5: Ultimate Institutional SMC & Liquidity Engine Diamond V5 is a high-precision trading framework designed for professional traders who follow SMC (Smart Money Concepts) and ICT methodologies. Unlike standard indicators, Diamond V5 is a complete structural engine that identifies where liquidity is resting and how institutional players are moving the market. 🚀 Key Features: Auto-Market Detection: Smart algorithms that automatically adjust parameters (Sweep tolerance, confirmations) based on whether you are trading Gold, Forex, or Indices. Advanced Structure Engine: Real-time mapping of BOS (Break of Structure) and CHoCH (Change of Character) with body-close confirmation. Liquidity Clustering: Detects Equal Highs/Lows (EQH/EQL) with dynamic tolerance, identifying high-probability liquidity pools. PD Array Filter: Integrated Premium/Discount logic to ensure you only Buy in Discount and Sell in Premium zones. Institutional Confirmation: Combined Displacement, Fair Value Gaps (FVG), and Volume Spikes to filter out fakeouts. Pro Dashboard: A comprehensive HUD showing HTF Trend, LTF Structure, Pricing status, and Killzone activity at a glance. 🛠 How to Trade (The Strategy): Context: Ensure HTF Trend and Internal Structure are aligned (Green/Red Dashboard). Setup: Wait for a Liquidity Sweep (Orange Diamond) in a Premium/Discount zone. Trigger: Look for the BUY/SELL label which appears after a displacement candle creates a new FVG. Target: Aim for the "Weak High/Low" target lines or use the dynamic 1:2 RR TP line. 📈 Optimized For: Forex: EURUSD, GBPUSD, USDJPY (15m/1h) Indices: NAS100, US30, SPX500 (1m/5m - NY Killzone) Commodities: XAUUSD / GOLD (5m/15m) توضیحات فارسی: اندیکاتور Diamond V5 یک موتور معاملاتی پیشرفته مبتنی بر سبک اسمارت‌ مانی (SMC) است. این ابزار با شناسایی خودکار ساختار بازار (BOS/CHoCH) و شکار نقدینگی (Liquidity Sweeps)، دقیق‌ترین نقاط ورود در جهت روند اصلی را نمایش می‌دهد. ویژگی‌های برتر: تشخیص خودکار نوع بازار (فارکس، طلا، شاخص‌ها). فیلتر قیمت منصفانه (ترید فقط در نواحی ارزان یا گران). شناسایی نقدینگی‌های مجتمع (Equal Highs/Lows). ترسیم خودکار باکس‌های FVG برای تایید ورود پول هوشمند. داشبورد مدیریتی کامل برای بررسی هم‌زمانی چندین فاکتور تحلیلی.
Pine Script® 인디케이터
IR-Treder의
Smart Money Range + Displacement🧠 How This Indicator Works This indicator is based on Smart Money Concepts, which follow how institutions actually move the market: Build liquidity → Take liquidity → Show intent → Move price It does not predict the market. It reacts only after confirmation. 1️⃣ Trend Filter (EMA) – Market Direction What it does: The Exponential Moving Average (EMA) shows the dominant market direction. How it’s used: Price above EMA → bullish bias → only BUY signals Price below EMA → bearish bias → only SELL signals Why it matters: Institutions usually push price in the direction of the higher-timeframe trend. This filter removes low-probability counter-trend trades. 2️⃣ Smart Money Range – Liquidity Zone What it does: The indicator calculates the highest high and lowest low over a fixed number of candles to create a trading range. Why this range matters: Equal highs and equal lows form inside ranges Retail stop-loss orders accumulate at range boundaries These areas become liquidity pools Institutions need liquidity to enter large positions — this shows where it is. 3️⃣ Liquidity Sweep – Stop Hunt Detection What it does: The indicator detects when price breaks above or below the range but fails to close outside it. What this means: Stops above highs or below lows are triggered Retail traders are trapped Smart money absorbs liquidity This is manipulation, not a real breakout. 4️⃣ Displacement Candle – Institutional Entry What it does: The indicator checks for a candle with a body significantly larger than recent candles. Why displacement is important: Large candle bodies show strong order flow Confirms that institutions have entered the market Filters out weak or fake moves No displacement = no trade. 5️⃣ Trade Confirmation Logic – Final Signal BUY Signal Conditions Liquidity taken below the range Strong displacement candle Price above EMA SELL Signal Conditions Liquidity taken above the range Strong displacement candle Price below EMA Meaning: Only trade after liquidity is taken and real momentum appears in trend direction. 6️⃣ Signal Plotting – Clear Execution What you see on the chart: BUY label below the candle SELL label above the candle Signals appear only after candle close, ensuring no repainting. 🔁 Market Behavior This Indicator Reads Market moves sideways (range formation) Liquidity builds Stops are taken (false breakout) Displacement confirms intent Price expands in one direction This is how institutional trading works. ⚠️ Best Usage Guidelines Best timeframes: 15m, 30m, 1H Avoid major news releases Wait for candle close Use structure-based stop loss, not fixed pips 🎯 Why This Indicator Is Effective Logic-based, not lag-based No repainting Works on Gold, BTC, Forex, Indices Filters noise and emotional trading
Pine Script® 인디케이터
Mentor_Michael03의
Smart money PSP with color themesPSP with Color Themes — Price Strength Parity Indicator PSP with Color Themes is a visual correlation indicator designed to detect Price Strength Parity (PSP) between the current chart symbol and a reference symbol. It highlights candles where price behavior between two correlated instruments diverges or aligns, which is often used in SMT (Smart Money Technique) and intermarket analysis. The indicator works directly on the chart and colors candles when a PSP condition is detected, using flexible and customizable color themes. 📌 What Is PSP (Price Strength Parity)? PSP identifies situations where two correlated assets: Move in opposite directions → Direct PSP (classic SMT divergence) Move in the same direction → Inverse PSP (confirmation mode) Such behavior often precedes: Reversals Continuations Liquidity grabs Market structure shifts ⚙️ Indicator Inputs Reference Symbol Defines the second asset used for comparison (e.g., ETHUSDT vs BTCUSDT). Purpose: To detect relative strength or weakness between two correlated markets. Inverse Correlation Mode Inverse Correlation Mode (true / false) Allows switching between divergence-based and confirmation-based analysis. Color Theme Available presets: Green / Red Blue / Orange Purple / Yellow Teal / Pink Custom Purpose: Adapts the indicator visually to different chart styles and backgrounds. 📈 How to Use in Trading Typical use cases: SMT divergence detection Intermarket confirmation Reversal timing Liquidity sweep context SMC / ICT models Recommended combinations: Market Structure (BOS / CHoCH) Fair Value Gaps Liquidity levels Session highs /lows ⚠️ Important Notes PSP is context-based, not a standalone entry system Best results on correlated markets: BTC / ETH Indices (ES / NQ / YM) FX pairs (EURUSD / DXY)
Pine Script® 인디케이터
crypto_daytrade의
Institutional Structure [Clean Pro]Institutional Structure — Script Explanation This script is designed to map institutional market behavior using high-timeframe structure, not retail noise. It focuses on where smart money acts, not on frequent signals. 🔹 1. High-Timeframe Support & Resistance (HTF S/R) The script identifies major structural highs and lows using a higher lookback period. Purpose: Defines where institutions previously distributed or accumulated Acts as natural decision zones Filters out low-quality intraday levels Why it matters: Institutions trade from key HTF levels, not random support/resistance. 🔹 2. Equilibrium (50% Mean Price) The equilibrium line represents the fair price between HTF high and low. How it’s used: Below equilibrium → discount zone (buy interest) Above equilibrium → premium zone (sell interest) Professional insight: Smart money prefers buying discounts and selling premiums, not chasing price. 🔹 3. Market Structure Shift (MSS) Instead of frequent BOS labels, the script detects true directional shifts. Bullish MSS: Price closes above previous HTF high Bearish MSS: Price closes below previous HTF low Why MSS over BOS: MSS confirms control change Reduces false signals Aligns with institutional execution logic 🔹 4. Liquidity Sweep Detection (Wick-Based) The script identifies stop-hunt behavior using wick rejection logic. Buy-side liquidity: Wick above HTF high, but close back below Sell-side liquidity: Wick below HTF low, but close back above Meaning: Stops were triggered, but price failed to accept → smart money absorption 🔹 5. Fair Value Gap (FVG) – Refined Imbalance Fair Value Gaps highlight inefficient price movement. Bullish FVG: Price leaves an upside imbalance Bearish FVG: Price leaves a downside imbalance How pros use it: As reaction zones, not entry signals Best combined with liquidity + MSS 🔍 How Everything Works Together The script is context-based, not signal-based: 1️⃣ HTF structure defines the battlefield 2️⃣ Liquidity is taken (stop hunts) 3️⃣ MSS confirms direction 4️⃣ FVG offers precision 5️⃣ Equilibrium filters bias This creates high-probability trade environments, not overtrading. 📌 Best Practices (Professional Use) Timeframes: 1H / 4H / Daily Avoid lower TF noise Trade only after liquidity is taken Use FVG as confirmation, not trigger Respect equilibrium bias 🎯 Summary ✔ Clean institutional logic ✔ No clutter, no spam ✔ HTF-driven decisions ✔ Liquidity-first mindset ✔ Designed for BTC, Gold & FX 🧠 Trade where institutions trade — not where indicators flash.
Pine Script® 인디케이터
Mentor_Michael03의
[COG] Platypus Platypus Overview Platypus is a volume momentum indicator that combines price action, volume analysis, and multi-timeframe confirmation to generate trade signals. Unlike traditional volume indicators, Platypus reconstructs volume momentum by factoring in price velocity, volatility adjustment, and market structure to identify true institutional momentum shifts. The indicator features a comprehensive filtering system including EMA alignment, background state confirmation, and optional multi-timeframe filters to eliminate false signals and ensure you only trade with the strongest momentum. Key Features ✅ Volume Momentum Calculation Volatility-Adjusted Volume: Normalizes volume relative to recent volatility periods Quiet Market Filtering: Reduces noise during low-activity periods Spike Detection: Identifies abnormal volume surges with boosted weighting Momentum Smoothing: EMA-based smoothing prevents erratic signals ✅ Entry Pattern Detection 3-Bar Pattern Requirement: RED → GREEN → GREEN for buys (opposite for sells) State Management: Prevents consecutive signals in same direction without reset Background Confirmation: Must align with bullish/bearish market state EMA Alignment Filter: Ensures trend structure supports the trade direction ✅ Multi-Timeframe Filtering System HTF Closed Bar Filter: Confirms last closed higher timeframe bar matches direction (no repaint) HTF Momentum Filter: Requires current HTF bar to match direction (live, prevents delayed entries) Dual-Filter Capability: Use both filters for maximum precision ✅ Dashboard Real-time Status Monitoring: Volume trend, background state, EMA order, trade state Filter Status Display: Shows HTF filter conditions and signal permission Pattern Detection: Indicates when 3-bar entry pattern is forming ✅ On-Chart Integration 50/100/200 EMAs: Automatically plotted on price chart with customizable colors Visual Entry Markers: Triangle signals appear on price chart at entry points Signal Alerts: Built-in alert conditions for all signal types 📚 Core Settings Explained signalPeriod = input.int(8, "Signal Period", minval=1, group="Core Settings") Signal Period (Default: 8): Controls the smoothing of the signal line (blue line). Lower values = more responsive, higher values = smoother but slower to react. volatilityPeriod = input.int(20, "Volatility Period", minval=1, group="Core Settings") Volatility Period (Default: 20): Lookback period for volume and price range calculations. This period is used to normalize volume relative to recent market conditions. priceFilterLength = input.int(200, "Price Filter MA Length", minval=1, group="Core Settings") Price Filter MA Length (Default: 200): The SMA period used for background state determination. Price must be above this MA for bullish background, below for bearish background. Advanced Settings momentumMultiplier = input.float(50.0, "Momentum Multiplier", minval=20.0, maxval=80.0, step=2.0, group="Advanced") Momentum Multiplier (Default: 50.0): Scales the final momentum score. Higher values = larger histogram bars and more sensitivity. Adjust based on your instrument's volatility. momentumSmoothing = input.int(4, "Momentum Smoothing", minval=1, maxval=15, group="Advanced") Momentum Smoothing (Default: 4): EMA period applied to raw momentum before normalization. Higher values reduce noise but add lag. quietThreshold = input.float(0.3, "Quiet Market Filter", minval=0.0, maxval=1.0, step=0.05, group="Advanced") Quiet Market Filter (Default: 0.3): During low-volume periods, this applies exponential dampening to momentum. Higher values = more aggressive filtering of weak moves. volStrengthFactor = volRatio < (1.0 + quietThreshold) ? math.pow(volRatio, 2) : volRatio When volume is less than average + threshold, it squares the ratio (dampening), otherwise uses linear scaling.
Pine Script® 인디케이터
CognitiveAlpha의
2
Smart Money Structure FilterEnglish Description Overview Smart Money Structure Analyzer is a professional trading tool that implements Smart Money Concepts (SMC) to identify key market structure shifts, Break of Structure (BOS), and Change of Character (CHoCH) patterns. This indicator helps traders follow the "smart money" flow by detecting institutional order flow patterns on any timeframe. Key Features Swing Point Detection - Identifies significant highs and lows using fractal-based logic Market Structure Analysis - Classifies market conditions as Uptrend, Downtrend, or Consolidation Break of Structure (BOS) - Detects when price breaks key structural levels Change of Character (CHoCH) - Identifies potential trend reversals Mitigation Levels - Shows potential retracement targets after structure breaks How It Works The indicator analyzes price action through several layers: Swing Detection Algorithm Uses a configurable swing period (3-21 bars) Identifies valid swing highs and lows that are confirmed by surrounding price action Stores the last 20 swings for structure analysis Structure Determination Uptrend: Higher Highs (HH) + Higher Lows (HL) Downtrend: Lower Lows (LL) + Lower Highs (LH) Consolidation: Mixed structure or ranging market Break of Structure (BOS) Logic Bearish BOS: Price closes below the last confirmed Higher Low (HL) Bullish BOS: Price closes above the last confirmed Lower High (LH) Change of Character (CHoCH) Logic Bearish CHoCH: After a bearish BOS, price forms a Lower Low (confirms trend reversal) Bullish CHoCH: After a bullish BOS, price forms a Higher High (confirms trend reversal) Mitigation Levels Calculates potential retracement levels after BOS (typically ±0.2% from broken structure) Visual Elements Fractals: Swing points (optional display) Structure Lines: Last Higher Low (blue) and Last Lower High (purple) BOS Signals: Triangles marking structure breaks CHoCH Signals: Circles confirming trend changes Mitigation Levels: Dotted orange lines for potential retracements Info Label: Real-time structure status and key levels Alerts The indicator provides alerts for: Break of Structure (BOS) events Change of Character (CHoCH) confirmations Settings Swing Period: Sensitivity of swing detection (default: 3) Show Fractals: Toggle swing point markers Show Structure Lines: Display key structure levels Show Break of Structure: Display BOS signals Show Change of Character: Display CHoCH signals Show Mitigation Levels: Display retracement levels Best Practices Use on higher timeframes (1H+) for more reliable signals Combine with volume analysis for confirmation Wait for CHoCH confirmation before entering trades Use mitigation levels as potential entry zones Русское описание Обзор Smart Money Structure Analyzer - профессиональный торговый инструмент, реализующий концепции Smart Money (SMC) для определения ключевых сдвигов рыночной структуры, Break of Structure (BOS) и Change of Character (CHoCH). Индикатор помогает отслеживать поток "умных денег", выявляя паттерны институционального ордерного потока на любом таймфрейме. Ключевые возможности Определение свингов - Выявляет значимые максимумы и минимумы с помощью фрактальной логики Анализ структуры рынка - Классифицирует состояние рынка: Восходящий тренд, Нисходящий тренд или Консолидация Break of Structure (BOS) - Обнаружение пробития ключевых уровней структуры Change of Character (CHoCH) - Определение потенциальных разворотов тренда Уровни митигации - Показывает потенциальные цели отката после пробоя структуры Принцип работы Индикатор анализирует ценовое действие через несколько уровней: Алгоритм определения свингов Использует настраиваемый период свинга (3-21 свечи) Определяет валидные максимумы и минимумы, подтвержденные окружающим движением цены Сохраняет последние 20 свингов для анализа структуры Определение структуры Восходящий тренд: Higher Highs (HH) + Higher Lows (HL) Нисходящий тренд: Lower Lows (LL) + Lower Highs (LH) Консолидация: Смешанная структура или флет Логика Break of Structure (BOS) Медвежий BOS: Цена закрывается ниже последнего Higher Low (HL) Бычий BOS: Цена закрывается выше последнего Lower High (LH) Логика Change of Character (CHoCH) Медвежий CHoCH: После медвежьего BOS формируется Lower Low (подтверждает разворот) Бычий CHoCH: После бычьего BOS формируется Higher High (подтверждает разворот) Уровни митигации Расчет потенциальных уровней отката после BOS (обычно ±0.2% от сломанной структуры) Визуальные элементы Фракталы: Точки свингов (опционально) Линии структуры: Последний Higher Low (синий) и последний Lower High (фиолетовый) Сигналы BOS: Треугольники, отмечающие пробой структуры Сигналы CHoCH: Круги, подтверждающие изменение тренда Уровни митигации: Пунктирные оранжевые линии для потенциальных откатов Инфо-метка: Статус структуры и ключевые уровни в реальном времени Оповещения Индикатор предоставляет алерты для: Событий Break of Structure (BOS) Подтверждений Change of Character (CHoCH) Настройки Период свинга: Чувствительность определения свингов (по умолчанию: 3) Показывать фракталы: Включение/выключение маркеров свингов Показывать линии структуры: Отображение ключевых уровней структуры Показывать Break of Structure: Отображение сигналов BOS Показывать Change of Character: Отображение сигналов CHoCH Показывать уровни митигации: Отображение уровней отката Рекомендации по использованию Используйте на старших таймфреймах (1H+) для более надежных сигналов Комбинируйте с анализом объема для подтверждения Ждите подтверждения CHoCH перед входом в сделку Используйте уровни митигации как потенциальные зоны входа Технические особенности Максимальное количество меток: 500 Работает на любых таймфреймах Не перерисовывает прошлые сигналы Эффективно использует ресурсы благодаря ограничению хранения свингов Индикатор предназначен для трейдеров, работающих с Price Action и концепциями Smart Money, и помогает систематизировать анализ рыночной структуры в соответствии с подходами институциональных трейдеров.
Pine Script® 인디케이터
crypto_daytrade의
Breaker Blocks Signals [AlgoAlpha]🟠 OVERVIEW This script automates the detection of Breaker Blocks, a popular smart money concept used to identify high-probability reversal zones. It monitors price action for aggressive impulses—measured through a normalized Z-Score—to identify Orderblocks. When these blocks are "broken" or invalidated by price moving through them, they transform into Breaker Blocks. These zones act as "flipped" support or resistance, offering traders specific areas to look for retests and trend continuations. By handling the complex management of zone life-cycles and mitigation, this script provides a clean, real-time map of institutional supply and demand shifts. 🟠 CONCEPTS The indicator relies on the relationship between price momentum and structural invalidation. It first identifies "impulsive" candles by calculating a Z-Score of price distance covered over a specific window. A Z-Score above 4 marks an "Algorithmically Significant" move. When such a move occurs, the script identifies the last opposite-colored candle (the Orderblock) and draws a gray zone. The transformation happens when price closes entirely through one of these gray zones. This "mitigation" is what triggers the creation of a Breaker Block: an old bearish supply zone becomes a bullish demand zone, and vice versa. This transition reflects a shift in market regime where previous trapped participants are forced to exit, often leading to price rejections at these newly formed levels. 🟠 FEATURES Automated Breaker Transformation : Instantly flips mitigated Orderblocks into colored Breaker Blocks (Bullish/Bearish). Rejection Markers : Small arrow icons appear when price enters a Breaker Block and shows signs of respect/reversal. Comprehensive Alerts : Notifications for both the formation of new breakers and real-time price rejections. 🟠 USAGE Setup : Add the script to your chart. It is effective on most timeframes, but many traders prefer the 15m or 1h for intraday structure. Use the "Z-Score Window" to adjust sensitivity; 100 is standard, but lower values (e.g., 50) will find more frequent, smaller impulses. Read the chart : Gray boxes are "Pending" blocks. If price closes above a gray bearish box, it turns into a Bullish Breaker (Green). If price closes below a gray bullish box, it turns into a Bearish Breaker (Red). Look for price to return to these colored zones; the "▲" and "▼" symbols indicate the script has detected a rejection from that level. Settings that matter : Prevent Overlap is useful for avoiding "cluttered" zones in ranging markets. Max Box Age is critical; it ensures that very old, irrelevant zones are removed from your chart after a set number of bars, keeping your technical analysis current and focused on recent price action.
Pine Script® 인디케이터
AlgoAlpha의
13
ICT Flow Matrix [Ultimate]📊 Overview ICT Flow Matrix is a comprehensive, all-in-one Smart Money Concepts (SMC) indicator built for traders who follow ICT (Inner Circle Trader) methodology. This indicator consolidates over 15 institutional trading concepts into a single, highly customizable tool—eliminating chart clutter from multiple indicators while providing deep market structure analysis. Whether you're identifying liquidity pools, tracking order flow, or timing entries during ICT Macro windows, this indicator delivers institutional-grade analysis directly on your chart. Pro Tip: use with ICT Market Regime Detector for clear language reads on everything. ⚡ Key Features 🎯 Price Delivery Arrays (PDAs) Fair Value Gaps (FVG) — Automatic detection with customizable mitigation tracking (Wick Touch, 50% CE, Full Close) Inverse FVGs (iFVG) — Identifies when FVGs fail and flip, creating new tradeable zones Order Blocks (OB) — Last opposing candle before impulsive moves with adjustable impulse strength Breaker Blocks (BB) — Automatically generated when Order Blocks fail Rejection Blocks (RB) — Strong wick rejections indicating institutional defense Volume Imbalances (VIMB) — Gaps between candle bodies showing aggressive institutional activity 📐 Market Structure & Liquidity Market Structure Shifts (MSS) — Real-time detection of bullish/bearish structure breaks Equal Highs/Lows (EQH/EQL) — Liquidity pools where stop losses accumulate Buy-Side/Sell-Side Liquidity (BSL/SSL) — Swing point liquidity levels with sweep detection Premium/Discount Zones — Visual shading showing institutional buying/selling areas OTE Zone (61.8%-79%) — Optimal Trade Entry zone for high-probability entries ⏰ Time-Based Analysis ICT Macro Times — All nine 30-minute algorithmic windows (02:45, 03:45, 04:45, 09:45, 10:45, 13:45, 14:45, 15:15, 15:45 NY Time) Killzone Sessions — Asia, London, NY AM, NY PM with customizable times Session Opens — Weekly, Monthly, Daily opening prices Previous Period H/L — PDH/PDL, PWH/PWL, PMH/PML levels 📏 Dealing Ranges Multi-Timeframe Ranges — 21-Day, 3-Day, Daily dealing ranges Session Ranges — Asia, London, NY dealing ranges with equilibrium Fibonacci Structure — 0%, 50% (EQ), 100% levels with P/D shading 🕯️ HTF Orderflow Higher Timeframe Candles — Display up to 6 HTF candles with auto-timeframe selection Candle Timer — Countdown to next HTF candle close O/H/L Reference Lines — Current HTF open, high, low levels extended on chart 🎨 Visual Customization 5 Theme Presets — Dark Pro, Light Clean, Neon, Classic, Custom Full Color Control — Customize every element individually Zone Styles — Filled or Border Only options Mitigation Effects — Visual fade when zones are mitigated 📋 Smart Dashboard Real-Time Status — Structure bias, zone position, active session, OTE status Confluence Score — Algorithmic scoring when multiple concepts align Zone Counters — Active FVG, OB, BB, RB, VIMB, liquidity levels 3 Display Modes — Minimal, Compact, Detailed 🔔 Comprehensive Alert System 40+ Alert Conditions including: FVG/OB/BB/RB/VIMB formation Liquidity sweeps (EQH, EQL, BSL, SSL) Market Structure Shifts OTE zone entry Macro time windows Session opens High confluence zones Combo alerts (Macro + Confluence) 📖 How To Use For Swing/Position Traders: Enable HTF Orderflow to identify dominant trend direction Use Dealing Ranges (3D, 21D) to find premium/discount zones Look for OB/FVG confluence in discount (longs) or premium (shorts) Confirm with MSS for trend alignment For Day/Intraday Traders: Mark the Asian Range during pre-market Wait for London or NY AM Killzone Enter during ICT Macro windows when price reaches FVG/OB in OTE zone Target opposite liquidity (BSL for longs, SSL for shorts) Confluence Trading: Dashboard shows real-time confluence score Score ≥ 3 indicates multiple ICT concepts aligned Higher scores = higher probability setups ⚙️ Recommended Settings Trading Style FVG Max OB Max History Bars HTF Candles Scalping 3-5 2-3 100-200 3-4 Day Trading 5-8 3-5 200-400 4-5 Swing Trading 8-12 5-8 400-800 5-6 🎯 Best Practices ✅ Do: Use HTF bias before taking LTF entries Wait for Macro time windows for highest probability Combine MSS + FVG/OB + OTE for A+ setups Let mitigated zones fade (use Mitigation Fade setting) ❌ Avoid: Trading against HTF structure Entries outside Killzones (lower probability) Ignoring liquidity targets Over-cluttering chart (disable unused features) 📝 Version History v6.0 (Current) Complete rewrite in PineScript v6 Added ICT Macro Times with bracket/background styles Enhanced confluence detection algorithm Improved HTF candle rendering with multiple styles Added Inverse FVG detection Session-based Dealing Ranges Performance optimizations 40+ alert conditions ⚠️ Disclaimer This indicator is a technical analysis tool designed to visualize ICT/SMC concepts. It does not provide financial advice or guarantee profitable trades. Past performance is not indicative of future results. Always use proper risk management and trade responsibly. 💬 Support & Feedback If you find this indicator valuable, please leave a comment or boost! Your feedback helps improve future updates. Questions? Drop a comment below—I actively respond to all questions about the indicator's features and usage.
Pine Script® 인디케이터
Making_Trades_Matter의
Smart Money Flow Cloud [BOSWaves]Smart Money Flow Cloud - Volume-Weighted Trend Detection with Adaptive Volatility Bands Overview Smart Money Flow Cloud is a volume flow-aware trend detection system that identifies directional market regimes through money flow analysis, constructing adaptive volatility bands that expand and contract based on institutional pressure intensity. Instead of relying on traditional moving average crossovers or fixed-width channels, trend direction, band width, and signal generation are determined through volume-weighted money flow calculation, nonlinear flow strength modulation, and volatility-adaptive band construction. This creates dynamic trend boundaries that reflect actual institutional buying and selling pressure rather than price momentum alone - tightening during periods of weak flow conviction, expanding during strong directional moves, and incorporating flow strength statistics to reveal whether regimes formed under accumulation or distribution conditions. Price is therefore evaluated relative to adaptive bands anchored at a flow-informed baseline rather than conventional trend-following indicators. Conceptual Framework Smart Money Flow Cloud is founded on the principle that sustainable trends emerge where volume-weighted money flow confirms directional price movement rather than where price alone creates patterns. Traditional trend indicators identify regime changes through price crossovers or slope analysis, which often ignore the underlying volume dynamics that validate or contradict those movements.This framework replaces price-centric logic with flow-driven regime detection informed by actual buying and selling volume. Three core principles guide the design: Trend direction should correspond to volume-weighted flow dominance, not price movement alone. Band width must adapt dynamically to current flow strength and volatility conditions. Flow intensity context reveals whether regimes formed under conviction or uncertainty. This shifts trend analysis from static moving averages into adaptive, flow-anchored regime boundaries. Theoretical Foundation The indicator combines adaptive baseline smoothing, close location value (CLV) methodology, volume-weighted flow tracking, and nonlinear strength amplification. A smoothed trend baseline (EMA or ALMA) establishes the core directional reference, while close location value measures where price settled within each bar's range. Volume weighting applies directional magnitude to flow calculation, which accumulates into a normalized money flow ratio. Flow strength undergoes nonlinear power transformation to amplify strong conviction periods and dampen weak flow environments. Average True Range (ATR) provides volatility-responsive band sizing, with final width determined by the interaction between base volatility and flow-modulated multipliers. Four internal systems operate in tandem: Adaptive Baseline Engine : Computes smoothed trend reference using either EMA or ALMA methodology with configurable secondary smoothing. Money Flow Calculation System : Measures volume-weighted directional pressure through CLV analysis and ratio normalization. Nonlinear Flow Strength Modulation : Applies power transformation to flow intensity, creating dynamic sensitivity scaling. Volatility-Adaptive Band Construction : Scales band width using ATR measurement combined with flow-strength multipliers that range from minimum (calm) to maximum (strong flow) expansion. This design allows bands to reflect actual institutional behavior rather than reacting mechanically to price volatility alone. How It Works Smart Money Flow Cloud evaluates price through a sequence of flow-aware processes: Close Location Value (CLV) Calculation : Each bar's closing position within its high-low range is measured, creating a directional bias indicator ranging from -1 (closed at low) to +1 (closed at high). Volume-Weighted Flow Tracking : CLV is multiplied by bar volume, then accumulated and normalized over a configurable flow window to produce a money flow ratio between -1 and +1. Flow Smoothing and Strength Extraction : The raw money flow ratio undergoes optional smoothing, then nonlinear power transformation to amplify strong flow periods and compress weak flow environments. Adaptive Baseline Construction : Price (both open and close) is smoothed using either EMA or ALMA methodology with optional secondary smoothing to create a stable trend reference. Dynamic Band Sizing : ATR measurement is multiplied by a flow-strength-modulated factor that interpolates between minimum (tight) and maximum (wide) multipliers based on current flow conviction. Regime Detection and Visualization : Price crossing above the upper band triggers bullish regime, crossing below the lower band triggers bearish regime. The baseline cloud visualizes open-close relationship within the current trend. Retest Signal Generation : Price touching the baseline from within an established regime generates retest signals with configurable cooldown periods to prevent noise. Together, these elements form a continuously updating trend framework anchored in volume flow reality. Interpretation Smart Money Flow Cloud should be interpreted as flow-confirmed trend boundaries: Bullish Regime (Blue) : Activated when price crosses above the upper adaptive band, indicating volume-confirmed buying pressure exceeding volatility-adjusted resistance. Bearish Regime (Red) : Established when price crosses below the lower adaptive band, identifying volume-confirmed selling pressure breaking volatility-adjusted support. Baseline Cloud : The gap between smoothed open and smoothed close within the baseline visualizes intrabar directional bias - wider clouds indicate stronger intrabar momentum. Adaptive Band Width : Reflects combined volatility and flow strength - wider bands during high-conviction institutional activity, tighter bands during consolidation or weak flow periods. Buy/Sell Labels : Appear at regime switches when price crosses from one band to the other, marking potential trend inception points. Retest Signals (✦) : Diamond markers indicate price touching the baseline within an established regime, often occurring during healthy pullbacks in trending markets. Trend Strength Gauge : Visual meter displays current regime strength as a percentage, calculated from price position within the active band relative to baseline. Background Gradient : Optional coloring intensity reflects flow strength magnitude, darkening during high-conviction periods. Flow strength, band width adaptation, and baseline relationship outweigh isolated price fluctuations. Signal Logic & Visual Cues Smart Money Flow Cloud presents three primary interaction signals: Regime Switch - Buy : Blue "Buy" label appears when price crosses above the upper band after previously being in a bearish regime, suggesting volume-confirmed bullish transition. Regime Switch - Sell : Red "Sell" label displays when price crosses below the lower band after previously being in a bullish regime, indicating volume-confirmed bearish transition. Trend Retest : Diamond (✦) markers appear when price touches the baseline within an established regime, with configurable cooldown periods to filter noise. Alert generation covers regime switches and retest events for systematic monitoring. Strategy Integration Smart Money Flow Cloud fits within volume-informed and institutional flow trading approaches: Flow-Confirmed Entry : Use regime switches as primary trend inception signals where volume validates directional breakouts. Retest-Based Refinement : Enter on baseline retest signals within established regimes for improved risk-reward positioning during pullbacks. Band Width Context : Expect wider price swings when bands expand (high flow strength), tighter ranges when bands contract (weak flow). Baseline Cloud Confirmation : Favor trades where baseline cloud width confirms intrabar momentum alignment with regime direction. Strength Gauge Filtering : Use trend strength percentage to gauge continuation probability - higher readings suggest stronger institutional conviction. Multi-Timeframe Regime Alignment : Apply higher-timeframe regime context to filter lower-timeframe entries, taking only setups aligned with dominant flow direction. Technical Implementation Details Core Engine : Configurable EMA or ALMA baseline with secondary smoothing Flow Model : Close Location Value (CLV) with volume weighting and ratio normalization Strength Transformation : Configurable power function for nonlinear flow amplification Band Construction : ATR-scaled width with flow-strength-interpolated multipliers Visualization : Dual-line baseline cloud with gradient fills, regime-colored bands, and embedded strength gauge Signal Logic : Band crossover detection with baseline retest identification and cooldown management Performance Profile : Optimized for real-time execution with minimal computational overhead Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Micro-structure regime detection for scalping and intraday reversals 15 - 60 min : Intraday trend identification with flow-validated swings 4H - Daily : Swing and position-level regime analysis with institutional flow context Suggested Baseline Configuration: Trend Length : 34 Trend Engine : EMA Trend Smoothing : 3 Flow Window : 24 Flow Smoothing : 5 Flow Boost : 1.2 ATR Length : 14 Band Tightness (Calm) : 0.9 Band Expansion (Strong Flow) : 2.2 Reset Cooldown : 12 These suggested parameters should be used as a baseline; their effectiveness depends on the asset's volume profile, volatility characteristics, and preferred signal frequency, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Bands too wide/frequent whipsaws : Reduce "Band Expansion (Strong Flow)" to limit maximum band width, or increase "Band Tightness (Calm)" to widen minimum bands and reduce noise sensitivity. Trend baseline too choppy : Increase "Trend Length" for smoother baseline, or increase "Trend Smoothing" for additional filtering. Flow readings unstable : Increase "Flow Smoothing" to reduce bar-to-bar noise in money flow calculation. Missing legitimate regime changes : Decrease "Trend Length" for faster baseline response, or reduce "Band Tightness (Calm)" for earlier breakout detection. Too many retest signals : Increase "Reset Cooldown" to space out retest markers, or disable retest signals entirely if not using pullback entries. Flow strength not responding : Increase "Flow Boost" (power factor) to amplify strong flow differentiation, or decrease "Flow Window" to emphasize recent volume activity. Prefer different smoothing characteristics : Switch "Trend Engine" to ALMA and adjust "ALMA Offset" (higher = more recent weighting) and "ALMA Sigma" (higher = smoother) for alternative baseline behavior. Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions. Performance Characteristics High Effectiveness: Markets with consistent volume participation and institutional flow Instruments where volume accurately reflects true liquidity and conviction Trending environments where flow confirms directional price movement Mean-reversion strategies using retest signals within established regimes Reduced Effectiveness: Extremely low volume environments where flow calculations become unreliable News-driven or gapped markets with discontinuous volume patterns Highly manipulated or thinly traded instruments with erratic volume distribution Ranging markets where price oscillates within bands without conviction Integration Guidelines Confluence : Combine with BOSWaves structure, order flow analysis, or traditional volume profile Flow Validation : Trust regime switches accompanied by strong flow readings and wide band expansion Context Awareness : Consider whether current market regime matches historical flow patterns Retest Discipline : Use baseline retest signals as confirmation within trends, not standalone entries Breach Management : Exit regime-aligned positions when price crosses opposing band with volume confirmation Disclaimer Smart Money Flow Cloud is a professional-grade volume flow and trend analysis tool. Results depend on market conditions, volume reliability, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, market context, and comprehensive risk management.
Pine Script® 인디케이터
BOSWaves의
7
Smart Money Flow Oscillator [MarkitTick]💡This script introduces a sophisticated method for analyzing market liquidity and institutional order flow. Unlike traditional volume indicators that treat all market activity equally, the Smart Money Flow Oscillator (SMFO) employs a Logic Flow Architecture (LFA) to filter out market noise and "churn," focusing exclusively on high-impact, high-efficiency price movements. By synthesizing price action, volume, and relative efficiency, this tool aims to visualize the accumulation and distribution activities that are often attributed to "smart money" participants. ✨ Originality and Utility Standard indicators like On-Balance Volume (OBV) or Money Flow Index (MFI) often suffer from noise because they aggregate volume based simply on the close price relative to the previous close, regardless of the quality of the move. This script differentiates itself by introducing an "Efficiency Multiplier" and a "Momentum Threshold." It only registers volume flow when a price move is considered statistically significant and structurally efficient. This creates a cleaner signal that highlights genuine supply and demand imbalances while ignoring indecisive trading ranges. It combines the trend-following nature of cumulative delta with the mean-reverting insights of an In/Out ratio, offering a dual-mode perspective on market dynamics. 🔬 Methodology The underlying calculation of the SMFO relies on several distinct quantitative layers: • Efficiency Analysis The script calculates a "Relative Efficiency" ratio for every candle. This compares the current price displacement (body size) per unit of volume against the historical average. If price moves significantly with relatively low volume, or proportional volume, it is deemed "efficient." If significant volume occurs with little price movement (churn/absorption), the efficiency score drops. This score is clamped between a user-defined minimum and maximum (Efficiency Cap) to prevent outliers from distorting the data. • Momentum Thresholding Before adding any data to the flow, the script checks if the current price change exceeds a volatility threshold derived from the previous candle's open-close range. This acts as a gatekeeper, ensuring that only "strong" moves contribute to the oscillator. • Variable Flow Calculation If a move passes the threshold, the script calculates the flow value by multiplying the Typical Price and Volume (Money Flow) by the calculated Efficiency Multiplier. Bullish Flow: Strong upward movement adds to the positive delta. Bearish Flow: Strong downward movement adds to the negative delta. Neutral: Bars that fail the momentum threshold contribute zero flow, effectively flattening the line during consolidation. • Calculation Modes Cumulative Delta Flow (CDF): Sums the flow values over a rolling period. This creates a trend-following oscillator similar to OBV but smoother and more responsive to real momentum. In/Out Ratio: Calculates the percentage of bullish inflow relative to the total absolute flow over the period. This oscillates between 0 and 100, useful for identifying overextended conditions. 📖 How to Use Traders can utilize this oscillator to identify trend strength and potential reversals through the following signals: • Signal Line Crossovers The indicator plots the main Flow line (colored gradient) and a Signal line (grey). Bullish (Green Cloud): When the Flow line crosses above the Signal line, it suggests rising buying pressure and efficient upward movement. Bearish (Red Cloud): When the Flow line crosses below the Signal line, it suggests dominating selling pressure. • Divergences The script automatically detects and plots divergences between price and the oscillator: Regular Divergence (Solid Lines): Suggests a potential trend reversal (e.g., Price makes a Lower Low while Oscillator makes a Higher Low). Hidden Divergence (Dashed Lines): Suggests a potential trend continuation (e.g., Price makes a Higher Low while Oscillator makes a Lower Low). "R" labels denote Regular, and "H" labels denote Hidden divergences. • Dashboard A dashboard table is displayed on the chart, providing real-time metrics including the current Efficiency Multiplier, Net Flow value, and the active mode status. • In/Out Ratio Levels When using the Ratio mode: Values above 50 indicate net buying pressure. Values below 50 indicate net selling pressure. Approaching 70 or 30 can indicate overbought or oversold conditions involving volume exhaustion. ⚙️ Inputs and Settings Calculation Mode: Choose between "Cumulative Delta Flow" (Trend focus) or "In/Out Ratio" (Oscillator focus). Auto-Adjust Period: If enabled, automatically sets the lookback period based on the chart timeframe (e.g., 21 for Daily, 52 for Weekly). Manual Period: The rolling lookback length for calculations if Auto-Adjust is disabled. Efficiency Length: The period used to calculate the average body and volume for the efficiency baseline. Eff. Min/Max Cap: Limits the impact of the efficiency multiplier to prevent extreme skewing during anomaly candles. Momentum Threshold: A factor determining how much price must move relative to the previous candle to be considered a "strong" move. Show Dashboard/Divergences: Toggles for visual elements. 🔍 Deconstruction of the Underlying Scientific and Academic Framework This indicator represents a hybrid synthesis of academic Market Microstructure theory and classical technical analysis. It utilizes an advanced algorithm to quantify "Price Impact," leveraging the following theoretical frameworks: • 1. The Amihud Illiquidity Ratio (2002) The core logic (calculating body / volume) functions as a dynamic implementation of Yakov Amihud’s Illiquidity Ratio. It measures price displacement per unit of volume. A high efficiency score indicates that "Smart Money" has moved the price significantly with minimal resistance, effectively highlighting liquidity gaps or institutional control. • 2. Kyle’s Lambda (1985) & Market Depth Drawing from Albert Kyle’s research on market microstructure, the indicator approximates Kyle's Lambda to measure the elasticity of price in response to order flow. By analyzing the "efficiency" of a move, it identifies asymmetries—specifically where price reacts disproportionately to low volume—signaling potential manipulation or specific Market Maker activity. • 3. Wyckoff’s Law of Effort vs. Result From a classical perspective, the algorithm codifies Richard Wyckoff’s "Effort vs. Result" logic. It acts as an oscillator that detects anomalies where "Effort" (Volume) diverges from the "Result" (Price Range), predicting potential reversals. • 4. Quantitative Advantage: Efficiency-Weighted Volume Unlike linear indicators such as OBV or Chaikin Money Flow—which treat all volume equally—this indicator (LFA) utilizes Efficiency-Weighted Volume. By applying the efficiency_mult factor, the algorithm filters out market noise and assigns higher weight to volume that drives structural price changes, adopting a modern quantitative approach to flow analysis. ● Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Pine Script® 인디케이터
MarkitTick의
9
Volume Edge Pro[wjdtks255]Volume Edge Pro: Indicator Description Volume Edge Pro is an advanced volume analysis tool designed to identify institutional accumulation and significant supply levels. Unlike standard volume bars, this indicator categorizes trading volume into four distinct types based on price action and historical comparisons, helping traders spot high-probability breakout opportunities. Key Components: Blue Bars (PPV - Pocket Pivot Volume): Indicates institutional accumulation. It appears when up-day volume exceeds the highest down-day volume of the last 10 trading sessions. Green Bars (RGV - Recent Green Volume): Represents strong buying pressure where up-day volume is higher than the 50-period moving average. Red Bars (RRV - Recent Red Volume): Signifies heavy supply or selling pressure where down-day volume is higher than the 50-period moving average. Grey Bars: Represents standard market volume without significant institutional involvement. Trading Strategy (How to Trade) 1. Identifying Accumulation (The Base) Look for multiple Blue Bars (PPV) during a consolidation phase or within a "base." This suggests that "Smart Money" is quietly accumulating shares without significantly driving up the price yet. 2. The Buy Signal The ideal entry point is when the price breaks out of a consolidation resistance level, especially when the breakout is confirmed by a Blue (PPV) or Green (RGV) bar. The presence of PPV signals within the base increases the reliability of the breakout. 3. Overcoming Supply (The RRV Rule) When a Red Bar (RRV) appears, it marks a level of "unconsumed supply." Treat the high of the RRV candle as a resistance level. A bullish reversal or continuation is confirmed only when the price reclaims the high of the RRV day or when subsequent PPVs/RGVs overwhelm the previous selling volume. 4. Risk Management If a massive Red Bar (RRV) appears after a long uptrend and the price breaks below the prior support, it may indicate institutional distribution (selling), signaling a time to exit or tighten stop-losses.
Pine Script® 인디케이터
wjdtks255의
Quant-Action Pro: Triple Confluence EngineQuant-Action Pro: Triple Confluence Engine Systematic Framework for Structural Price Action Analysis Quant-Action Pro is a high-performance analytical engine designed to synchronize institutional liquidity flow with market geometry. Instead of traditional "signals," this framework identifies Structural States where three independent algorithmic layers align, providing a objective roadmap for the current price action context. 1. Core Algorithmic Matrix The engine operates by monitoring the interaction between price and three proprietary logic layers: A. Institutional Flow Node (SP2L) — Logic: Monitors "Passive Liquidity Absorption" at the 20-period EMA. Function: Identifies zones where institutional buyers/sellers are defending the trend's equilibrium. This is not a simple touch; it requires a validated "Touch-and-Hold" sequence. B. Structural Flip Scanner (BTB) — Logic: Detects the transition from old supply to new demand (S/R Flip). Function: Uses a 3-phase Break-Test-Break verification to confirm that a structural breakout is backed by volume, reducing the risk of "Fake-outs." C. Liquidity Compression Monitor (Micro Map) — Logic: Statistical range-contraction analysis (Volatility Squeeze). Function: Signals a High-Density State where price is coiling for an expansion move. 2. The Golden State: Triple Confluence Logic The GOLD label represents the "Apex" of this engine. It is triggered only when the SP2L, BTB, and Micro Map layers synchronize on a single candle. In structural terms, this means: Trend Defense (SP2L) is active. Structural Breakout (BTB) is confirmed. Volatility Expansion (MM) is imminent. This Triple-Layer filtering ensures that Golden Signals only appear during periods of maximum market conviction. 3. Professional Implementation (Structural View) MTF Trend Matrix: A built-in dashboard provides a 1H, 4H, and 1D diagnosis to ensure local setups align with the Macro Trend. Smart Invalidation (Adaptive Trendlines): The engine draws dynamic geometry to define the current "Structural Floor/Ceiling." A decisive close beyond these lines acts as a clear Invalidation Point for the current thesis. Mean Reversion: The system uses the 200-EMA as the primary directional filter, defining whether the market is in a "Bullish Expansion" or "Bearish Correction" state. ⚠️ Risk Disclaimer Trading financial instruments involves significant risk. Quant-Action Pro is an educational tool designed for research and structural analysis. It does not provide financial advice. Past performance is not indicative of future results. Always use strict risk management.
Pine Script® 인디케이터
shadi1982iphone의
Liquidity Sweep Sniper AP StyleAP Capital – Liquidity Sweep Sniper (Fab-Style) 📌 Overview This indicator is a precision scalping tool inspired by professional liquidity-based trading concepts often demonstrated by elite intraday scalpers. The script focuses on liquidity sweeps followed by strong displacement, aiming to capture short, high-probability momentum moves — particularly effective on lower timeframes (1–5 min) during active market sessions. It is not a signal spam tool. Signals appear only when multiple objective conditions align. 🧠 Core Concept Markets do not move randomly — they seek liquidity before expanding. This indicator identifies: Buy-side / Sell-side liquidity Liquidity sweeps (stop-hunts) Strong displacement candles reclaiming price Optional higher-timeframe trend alignment Only when all conditions are met does a signal print. 🔍 What the Indicator Detects 1️⃣ Liquidity Pools Equal highs or equal lows detected within a configurable lookback Minimum number of touches required ATR-based tolerance to adapt to volatility These levels represent areas where stop orders are likely resting. 2️⃣ Liquidity Sweep A valid sweep requires: Price to wick beyond the liquidity level Candle to close back inside the range This indicates failed breakout / stop-hunt behaviour. 3️⃣ Displacement Confirmation After the sweep, the candle must show: Strong body (default >60% of candle range) Candle range large relative to ATR Clear directional intent (momentum) This filters out weak reactions and chop. 4️⃣ Optional Trend Filter EMA-based higher-timeframe bias Helps align scalps with dominant direction Can be enabled or disabled 📈 Signals BUY: Sell-side liquidity sweep → bullish displacement SELL: Buy-side liquidity sweep → bearish displacement Signals are plotted directly on the chart and can be used with alerts. ⚙️ Recommended Usage Markets: XAUUSD, indices, liquid FX pairs Timeframes: 1m–5m Sessions: London & New York (best performance) Risk Management: Always required — this tool does not place trades Best used as a confirmation tool, not standalone. ⚠️ Important Notes This indicator is inspired by liquidity-based scalping concepts, not an exact replication of any individual trader’s private strategy. No indicator predicts the future — this tool highlights high-probability scenarios, not guarantees. Past performance is not indicative of future results.
Pine Script® 인디케이터
APCapitalTrading의
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