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Change in State of Delivery CISD [AlgoAlpha]🟠 OVERVIEW This script tracks how price “changes delivery” after failed attempts to push in one direction. It builds swing levels from pivots, watches for those levels to be wicked, and then checks if price delivers cleanly in the opposite direction. When the pattern meets the script’s tolerance rules, it marks a Change in State of Delivery (CISD). These CISD levels are drawn as origin lines and are used to spot shifts in intent, failed pushes, and continuation attempts. A CISD becomes stronger when it forms after opposing liquidity is swept within a defined lookback. 🟠 CONCEPTS The script first defines structure using swing highs/lows. These levels act as potential liquidity points. When price wicks through a swing, the script registers a mitigation event. After this, it looks for a reversal-style candle sequence: a failed push, followed by a counter-move strong enough to pass a tolerance ratio. This ratio compares how far price expanded away from the failed attempt versus the counter-move that followed. If the ratio is high enough, this becomes a CISD. The idea is simple: liquidity interaction sets context , and the tolerance logic identifies actual intent . CISD levels and sweep markers combine these two ideas into a clean map of where delivery flipped. 🟠 FEATURES Liquidity tracking: marks swing highs/lows and updates them until expiry Liquidity sweep confirmation when CISD aligns with recent mitigations Alert conditions for all key events: mitigations, CISDs, and strong CISDs 🟠 USAGE Setup : Add the script to your chart. Use it on any timeframe where swing behavior matters. Set the Swing Period for how wide a pivot must be. Set Noise Filter to control how strict the CISD detection is. Liquidity Lookback defines how recent a wick must be to confirm a sweep. Read the chart : Origin lines mark where the CISD began. A green line signals bullish intent; a red line signals bearish intent. ▲ and ▼ shapes show CISDs that form after liquidity is swept, these mark strong signals for potential entry. Swing dots show recent swing highs/lows. Candle colors follow the latest CISD trend. Settings that matter : Increasing Swing Period produces fewer but stronger swings. Raising Noise Filter requires cleaner counter-moves and reduces false CISDs. Liquidity Lookback controls how strict the sweep confirmation is. Expiry Bars decides how long swing levels remain active.
Pine Script®指标
由AlgoAlpha提供
32
Volume-Confirmed FTR Zones [AlgoPoint]FTR Zone Indicator — Fail To Return Zones (With Volume Confirmation) Advanced Smart Money Zone Detection for Institutional Orderflow The FTR Zone Indicator is a professional-grade tool designed for traders who follow Smart Money Concepts (SMC), ICT methodologies, or institutional orderflow. It automatically detects Fail To Return Zones (FTR) — high-probability supply and demand areas formed after strong displacement moves. By combining impulse detection, base identification, and volume confirmation, this indicator highlights zones where price is most likely to react, reverse, or mitigate shortly after structure breaks. ⸻ ⭐ What Are FTR Zones? FTR zones (Fail To Return zones) are price areas where: 1. A strong displacement / impulse candle is formed 2. That impulse originates from a small consolidation (base) 3. Price moves away aggressively 4. AND fails to return immediately to the origin area These zones often indicate: • Institutional orders • Imbalance • Hidden liquidity • Origin of a trend leg • High-probability mitigation points This indicator fully automates the detection and visualization of such areas. 🔍 How the Indicator Works 1. Impulse Detection The indicator identifies a valid impulse candle using: • ATR-based bar range filter • Trend-aligned candle body direction • Optional volume confirmation Only large, meaningful institutional candles qualify — filtering out noise. 2. Base Zone Identification Before every impulse, the tool finds the micro-consolidation base using: • Highest high of the last X bars • Lowest low of the last X bars This base becomes the potential FTR zone. 3. FTR Zone Creation When a valid impulse is detected: • Bullish impulse → Demand FTR zone • Bearish impulse → Supply FTR zone The zone is immediately drawn on the chart using box.new(). 4. Zone Extension Every zone continuously extends to the right as price evolves, allowing you to track: • Mitigation • Retests • Reaction points • Liquidity sweeps 5. Invalidation Logic Zones automatically delete when violated: • Demand zone invalid if close < zone low • Supply zone invalid if close > zone high This keeps the chart clean and helps focus only on active, high-value areas. 🎛️ Key Features ✔ Automatic FTR Zone Detection Instantly identifies institutional origin zones based on real impulse and displacement. ✔ Volume-Based Filtering Ensures only high-volume impulses (true institutional orders) create zones. ✔ Supply & Demand Coloring • Bullish FTR → Demand Zone (Teal tone) • Bearish FTR → Supply Zone (Red tone) ✔ Safe Zone Storage Fault-tolerant logic ensures no array errors, invalid zones, or broken visuals. ✔ Auto-Extending Boxes Real-time zone updates with precise historical mapping. ✔ Smart Invalidation Zone is removed only when fully broken, preventing false signals. ✔ Clean, Non-Repainting Logic Impulse detection and zone placement are confirmed only on bar close. 📈 How to Use It (Example Schenarios) For Reversals or Continuations • Look for price reacting or mitigating inside a zone • Use as entry confirmation in trend continuations • Combine with FVG, BOS/CHOCH, liquidity sweeps, or premium/discount zones For Scalping or Intraday Trading • High-probability countertrend entries • Reaction-based setups at institutional footprints For Swing Traders • Identify weekly/daily origin zones • Plan entries around large displacement points
Pine Script®指标
由Iamalala提供
Screener (SSA) [AlgoAlpha]🟠 OVERVIEW This script is a multi-symbol screener that serves as a dashboard companion to the "Smart Signals Assistant (SSA)" indicator. Its purpose is to monitor the entire suite of SSA components—from the core signals to all confluence tools—across a customizable watchlist of up to 18 assets. By displaying the real-time status of each indicator in a single table, it allows traders to get a bird's-eye view of the market, quickly identify assets with strong trend confluence, and filter for high-probability setups without needing to switch charts. The screener is designed to mirror the modularity of the main SSA indicator, allowing you to enable or disable components in the table to match your preferred trading dashboard. 🟠 CONCEPTS The screener is built directly on the analytical framework of the Smart Signals Assistant, applying its complex, proprietary algorithms to each symbol in your watchlist and summarizing the results. The combination of these different analytical concepts is what gives the screener its utility, as it helps traders find opportunities where multiple, distinct strategies align. Each column in the table represents a core trading concept: Smart Signals: This is the primary signal engine, designed to identify potential entry points. It operates in different modes to capture both long-term swings and faster scalping opportunities. Fair Value Trail (FVT): This component provides a dynamic, volatility-adjusted baseline for the trend. It acts as a form of dynamic support or resistance, helping to confirm the validity of a trend shown by the Smart Signals. Trend Spine: This tool is designed to identify the underlying "backbone" of the market's trend. It filters out short-term price noise to provide a more stable, clear indication of the dominant market direction. Trend Bias: This measures the strength and conviction behind a trend. It helps distinguish between a strong, accelerating move and a weak, decelerating one, adding a layer of momentum analysis. Firmament Clouds: These are volatility-based bands that create dynamic overbought and oversold zones. They help identify when price is potentially overextended and due for a pullback or consolidation. Trend-Range Classifier (TRC): A machine-learning model that analyzes market characteristics to classify the current environment as either "Trending" or "Ranging." This is crucial for helping traders apply the right strategy for the current conditions. 🟠 FEATURES This screener organizes the complex data from the SSA indicator into a simple, color-coded table. Here is a breakdown of each column and its possible values: Asset: Displays the ticker symbol for the asset being analyzed. Smart Signals: Shows the latest signal from the core engine. ▲: A standard bullish signal has been detected. ▼: A standard bearish signal has been detected. ▲+: A strong bullish signal with higher conviction has been detected. ▼+: A strong bearish signal with higher conviction has been detected. Fair Value Trail: Indicates the trend direction based on the volatility trail. ▲: The FVT is in a bullish trend (acting as dynamic support). ▼: The FVT is in a bearish trend (acting as dynamic resistance). Trend Spine: Shows the direction of the core underlying trend. ▲: The underlying trend backbone is bullish. ▼: The underlying trend backbone is bearish. Trend Bias: Measures the current momentum strength. Strong▲: Strong and accelerating bullish momentum. Weak▲: Bullish momentum exists but is weakening. Strong▼: Strong and accelerating bearish momentum. Weak▼: Bearish momentum exists but is weakening. Firmament Clouds: Identifies overbought/oversold conditions relative to volatility. Very Overbought / Overbought: Price is significantly extended above its recent range. Very Oversold / Oversold: Price is significantly extended below its recent range. Neutral: Price is trading within its normal volatility range. Trend-Range Classifier: Displays the market state as determined by the ML model. Trend: The market is in a trending environment, suitable for trend-following strategies. Range: The market is in a ranging or consolidating environment, suitable for mean-reversion strategies. Exit Signal Count: Tracks the number of take-profit signals that have occurred since the last primary Smart Signal. 0, 1, 2, 3...: A numerical count of exit signals. A higher number suggests a trend may be maturing or exhausting. 🟠 USAGE The main purpose of the screener is to quickly identify assets where multiple components of the SSA system are in alignment, indicating a high-confluence trading opportunity. 1. Setup and Configuration: Add the screener to your chart. Go into the settings and populate the "Watchlist" group with the symbols you wish to monitor. Ensure the settings for the components (Time Horizon, Signal Mode, etc.) are synchronized with the settings on your main SSA indicator for consistency. 2. Interpreting the Columns for Trading Decisions: Start with the Big Picture (TRC): First, look at the "Trend-Range Classifier" column. If it shows "Trend," you should be looking for trend-following setups. If it shows "Range," you might avoid taking strong trend signals. Establish Directional Bias (Spine & Bias): For trend-following, look for assets where the "Trend Spine" and "Trend Bias" agree. A "▲" in the Spine column combined with a "Strong▲" in the Bias column indicates a healthy and robust uptrend. Time Your Entry (Smart Signals): Once you have an asset with a clear bias, watch the "Smart Signals" column for a fresh signal that aligns with that bias. A "▲+" signal appearing in an asset with a strong bullish bias across other columns is a high-confluence entry point. Add Context (FVT & Clouds): Use the "Fair Value Trail" and "Firmament Clouds" to refine your entry. A buy signal is generally stronger if the FVT is also bullish ("▲") and the price is not in a "Very Overbought" state according to the clouds. Manage the Trade (Exit Count): After entering a trade, keep an eye on the "Exit Signal Count." As the number increases, it serves as a warning that the trend is becoming extended and it might be time to take partial profits or tighten your stop-loss.
Pine Script®指标付费脚本
由AlgoAlpha提供
2
Smarter Money Volume Rejection Blocks [PhenLabs]📊 Smarter Money Volume Rejection Blocks – Institutional Rejection Zone Detection The Smarter Money Volume Rejection Blocks indicator combines high-volume analysis with statistical confidence intervals to identify where institutional traders are actively defending price levels through volume spikes and rejection patterns. 🔥 Core Methodology Volume Spike Detection analyzes when current volume exceeds moving average by configurable multipliers (1.0-5.0x) to identify institutional activity Rejection Candle Analysis uses dual-ratio system measuring wick percentage (30-90%) and maximum body ratio (10-60%) to confirm genuine rejections Statistical Confidence Channels create three-level zones (upper, center, lower) based on ATR or Standard Deviation calculations Smart Invalidation Logic automatically clears zones when price significantly breaches confidence levels to maintain relevance Dynamic Channel Projection extends confidence intervals forward up to 200 bars with customizable length Support Zone Identification detects bullish rejections where smart money absorbs selling pressure with high volume and strong lower wicks Resistance Zone Mapping identifies bearish rejections where institutions defend price levels with volume spikes and pronounced upper wicks Visual Information Dashboard displays real-time status table showing volume spike conditions and active support/resistance zones ⚙️ Technical Configuration Dual Confidence Interval Methods: Choose between ATR-Based for trend-following environments or StdDev-Based for range-bound statistical precision Volume Moving Average: Configurable period (default 20) for baseline volume comparison calculations Volume Spike Multiplier: Adjustable threshold from 1.0 to 5.0 times average volume to filter institutional activity Rejection Wick Percentage: Set minimum wick size from 30% to 90% of candle range for valid rejection detection Maximum Body Ratio: Configure body-to-range ratio from 10% to 60% to ensure genuine rejection structures Confidence Multiplier: Statistical multiplier (default 1.96) for 95% confidence interval calculations Channel Projection Length: Extend confidence zones forward from 10 to 200 bars for anticipatory analysis ATR Period: Customize Average True Range lookback from 5 to 50 bars for volatility-based calculations StdDev Period: Adjust Standard Deviation period from 10 to 100 bars for statistical precision 🎯 Real-World Trading Applications Identify high-probability support zones where institutional buyers have historically defended price with significant volume Map resistance levels where smart money sellers consistently reject higher prices with volume confirmation Combine with price action analysis to confirm breakout validity when price approaches confidence channel boundaries Use invalidation signals to exit positions when smart money zones are definitively breached Monitor the real-time dashboard to quickly assess current market structure and active rejection zones Adapt strategy based on calculation method: ATR for trending markets, StdDev for ranging conditions Set alerts on confidence level breaches to catch potential trend reversals or continuation patterns 📈 Visual Interpretation Guide Green Zones indicate bullish rejection blocks where buyers defended with high volume and lower wicks Red Zones indicate bearish rejection blocks where sellers defended with high volume and upper wicks Solid Center Lines represent the core rejection price level where maximum volume activity occurred Dashed Confidence Boundaries show upper and lower statistical limits based on volatility calculations Zone Opacity decreases as channels extend forward to indicate decreasing confidence over time Dashboard Color Coding provides instant visual feedback on active volume spike and zone conditions ⚠️ Important Considerations Volume-based indicators identify historical rejection zones but cannot predict future price action with certainty Market conditions change rapidly and institutional activity patterns evolve continuously High volume does not guarantee level defense as market structure can shift without warning Confidence intervals represent statistical probabilities, not guaranteed price boundaries
Pine Script®指标
由PhenLabs提供
Quantura - Liquidity Sweep & Run LevelsIntroduction “Quantura – Liquidity Sweep & Run Levels” is a structural price-action indicator designed to automatically detect swing-based liquidity zones and visualize potential sweep and run events. It helps traders identify areas where liquidity has likely been taken (sweep) or released (run), improving precision in market structure analysis and timing of entries or exits. Originality & Value This tool translates institutional liquidity concepts into an automated visual framework. Instead of simply marking highs and lows, it dynamically monitors swing points, tracks their breaches, and identifies subsequent reactions. The indicator is built to highlight the liquidity dynamics that often precede reversals or continuations. Its originality lies in: Automatic identification and tracking of swing highs and lows. Real-time detection of broken levels and liquidity sweeps. Distinction between “Run” and “Sweep” modes for different market behaviors. Persistent historical visualization of liquidity levels using clean line structures. Configurable signal markers for bullish and bearish sweep confirmations. Functionality & Core Logic Detects swing highs and lows using a user-defined Swing Length parameter. Stores and updates all swing levels dynamically with arrays for efficient memory handling. Draws horizontal lines from each detected swing point to visualize potential liquidity zones. Monitors when price breaks a swing level and marks that event as “broken.” Generates signals when the market either sweeps above/below or runs away from those levels, depending on the chosen mode. Provides optional visual signal markers (“▲” for bullish sweeps, “▼” for bearish sweeps). Parameters & Customization Mode: Choose between “Sweep” (detects liquidity grabs) or “Run” (detects breakout continuations). Swing Length: Sets the sensitivity for detecting swing highs/lows. A higher value focuses on larger structures, while smaller values detect micro liquidity points. Bullish Color / Bearish Color: Customize color themes for sweep/run lines and signal markers. Signals: Enables or disables visual up/down markers for confirmed events. Visualization & Display Horizontal lines represent potential liquidity levels (unbroken swing highs/lows). Once broken, lines automatically stop extending, marking the moment liquidity is taken. Depending on the selected mode: “Sweep” mode identifies false breaks or stop-hunt behavior. “Run” mode highlights breakouts that continue the trend. Colored arrows indicate the direction and type of liquidity reaction. Clean, non-intrusive visualization suitable for overlaying on price charts. Use Cases Detect liquidity sweeps before major reversals. Identify breakout continuations after liquidity runs. Combine with Supply/Demand or FVG indicators for multi-layered confirmation. Validate liquidity bias in algorithmic or discretionary strategies. Analyze market manipulation patterns and institutional stop-hunting behavior. Limitations & Recommendations This indicator identifies structural behavior but does not guarantee trade direction or profitability. Works best on liquid markets with clear swing structures (e.g., crypto, forex, indices). Signal interpretation should be combined with confluence tools such as volume, order flow, or structure-based filters. Excessively small swing settings may cause over-signaling in volatile markets. Markets & Timeframes Optimized for all major asset classes — including crypto, Forex, indices, and equities — and for intraday to higher-timeframe structural analysis (5-minute up to daily charts). Author & Access Developed 100% by Quantura. Published as a Open-source script indicator. Access is free. Compliance Note This description fully complies with TradingView’s Script Publishing Rules and House Rules . It avoids performance claims, provides transparency on methodology, and clearly describes indicator behavior and limitations.
Pine Script®指标
由Quantura提供
Quantura - Fair Value GapIntroduction “Quantura – Fair Value Gap” is a precision-engineered institutional concept indicator designed to automatically identify, visualize, and manage Fair Value Gaps (FVGs) across any market or timeframe. It enables traders to observe price inefficiencies, potential liquidity voids, and retracement areas that often act as magnets for price rebalancing. Originality & Value Unlike many public FVG scripts that only highlight candle gaps, this indicator integrates dynamic filters and adaptive logic to determine the strength and reliability of each gap. It merges overlapping zones intelligently and optionally extends valid imbalances forward for ongoing reference. Its value lies in: Dynamic statistical filtering based on gap standard deviation. Optional volume confirmation for high-confidence FVGs. Automatic merging of overlapping or adjacent gaps for clean visualization. Support for both bullish and bearish imbalances. Signal alerts when gaps are filled or rebalanced by price. Functionality & Core Logic Detects Fair Value Gaps by comparing candle-to-candle price displacement. Applies a Gap Filter (standard deviation-based) to qualify valid gaps. Optionally validates gaps formed under significant volume conditions. Draws color-coded boxes to mark bullish (discount) and bearish (premium) inefficiencies. Monitors each FVG until price fills the gap, at which point the box is visually closed. Provides optional signal markers (“▲” or “▼”) when rebalancing occurs. Parameters & Customization Gap Filter: Sets the minimum statistical deviation required for a valid FVG. Higher values detect fewer, stronger gaps. Volume Filter: Toggles additional validation using relative volume strength. Volume Sensitivity: Adjusts how much above-average volume must be present to confirm a gap. Bullish/Bearish Colors: Customize color schemes for imbalance zones. Extend Gaps: Optionally extend open gaps forward for better confluence tracking. Signals: Enables or disables gap-fill signal markers. Visualization & Display Bullish FVGs: Appear in blue-tinted boxes, indicating potential demand-side inefficiencies. Bearish FVGs: Appear in red-tinted boxes, representing potential supply-side inefficiencies. Overlapping zones are merged automatically to maintain clarity. Filled gaps remain visible for historical context, allowing for post-event analysis. Optional signal arrows display when price returns to rebalance an FVG. Use Cases Identify institutional inefficiencies and liquidity voids. Detect premium and discount levels in trending markets. Combine with market structure or order block indicators for confluence. Track when price rebalances inefficiencies to refine entry/exit points. Build FVG-based algorithmic strategies that rely on structural imbalance resolution. Limitations & Recommendations The indicator detects structural imbalances but does not predict future direction or guarantee profitability. Volume filters may behave differently across brokers due to data-source differences. Use alongside structure or liquidity tools for enhanced decision-making. Extreme volatility or illiquid assets may generate temporary invalid gaps. Markets & Timeframes Compatible with all markets (crypto, forex, equities, indices, futures) and all timeframes. Recommended for multi-timeframe confluence analysis — e.g., detecting higher-timeframe FVGs and refining lower-timeframe entries. Author & Access Developed 100% by Quantura. Published as a Open-source script indicator. Access is free. Compliance Note This description adheres fully to TradingView’s House Rules and Script Publishing Requirements . It provides a detailed explanation of originality, core logic, limitations, and appropriate use — with no unrealistic or misleading performance claims.
Pine Script®指标
由Quantura提供
Order Blocks & Market Structure (SMC)# Order Blocks & Market Structure (SMC) ## 📊 Overview A Smart Money Concepts indicator that identifies institutional order blocks (OB), market structure breaks (MSB), and breaker blocks (BB) with volume-based strength analysis. Designed for traders seeking to identify institutional accumulation/distribution zones and market structure shifts. ## 🎯 Originality Statement This indicator combines multiple analytical approaches into a unified system: - **Multi-level OB strength classification** using volume spike detection and body ratio analysis (OB/OB+/OB++) - **Automatic lifecycle tracking** that converts invalidated Order Blocks to Breaker Blocks with polarity reversal - **Volume context integration** showing buyer/seller dominance percentage at block formation - **Dynamic zone extension** that updates OB boundaries until price interaction or invalidation - **Delayed touch alerts** (5-bar minimum) to filter premature retest signals Unlike simple order block scripts that only mark zones, this tool provides strength assessment, volume analysis, and intelligent state management throughout the block lifecycle. ## ⚙️ Technical Methodology **Market Structure Detection:** Uses pivot-based swing point analysis to identify trend changes. When price closes above a pivot high (bullish MSB) or below a pivot low (bearish MSB), the structure is marked with horizontal reference lines. **Order Block Identification:** Searches the specified lookback period for the lowest low (bullish MSB) or highest high (bearish MSB). When a strong directional candle is found (opposite color to trend direction), its range becomes an OB zone. **Strength Analysis:** - Compares candle volume against 20-period SMA with configurable multiplier (1.2-3.0x) - Calculates body-to-range ratio to assess candle strength (0.4-0.8 threshold) - Assigns strength levels: Standard (no conditions), Strong (one condition), Premium (both conditions) **Breaker Block Conversion:** When price closes completely through an OB zone (bullish OB broken downward or bearish OB broken upward), the zone automatically converts to BB with reversed polarity and color. ## 📋 Features **Market Structure (MSB):** - Detects bullish and bearish structure breaks - Configurable swing length (5-50 bars) - Visual markers with horizontal lines **Order Blocks (OB):** - Three strength tiers: OB (standard), OB+ (strong), OB++ (premium) - Volume percentage display (buyer vs seller dominance) - Dynamic zone extension until invalidation **Breaker Blocks (BB):** - Automatic conversion from failed OBs - Polarity tracking (bullish ↔ bearish) - Fixed zones after conversion ## 🔧 Settings Documentation **Market Structure Group:** *Show Market Structure* - Enable/disable MSB detection and line drawing - Default: ON - When OFF: No structure lines or labels appear *MSB Labels* - Display text labels at structure break points - Default: ON - Labels show "MSB" at the break candle *Swing Length* - Lookback period for pivot point detection - Range: 5-50 bars - Default: 10 - Higher values = longer-term structure, fewer signals - Lower values = short-term structure, more signals *Bull Color* - Color for bullish elements (MSB, bullish OB, bullish BB) - Default: #089981 (green) *Bear Color* - Color for bearish elements (MSB, bearish OB, bearish BB) - Default: #f23645 (red) **Order Block Group:** *Order Blocks* - Enable/disable OB detection and zone drawing - Default: ON - When OFF: No boxes appear (MSB lines still show if enabled) *OB Strength* - Enable multi-level strength classification - Default: ON - When ON: Labels show OB/OB+/OB++ based on analysis - When OFF: All zones labeled simply as "OB" *Volume %* - Display buyer/seller volume percentage - Default: ON - Shows "X% Buy" or "X% Sell" inside zones - Calculated over 10 bars from zone formation *OB Lookback* - How many bars to search for OB candle - Range: 5-30 bars - Default: 10 - Searches for lowest low (bullish) or highest high (bearish) within this range *Vol Threshold* - Minimum volume multiplier for strength upgrade - Range: 1.2-3.0x - Default: 1.5x - Volume must exceed (20-period SMA × threshold) for OB+ or OB++ *Body Ratio* - Minimum body-to-range ratio for strength upgrade - Range: 0.4-0.8 - Default: 0.6 - Candle body must be at least this proportion of total range for OB+ or OB++ ## 📖 How to Use **For Trend Following:** 1. Wait for MSB in your desired direction 2. OB forms in the breakout area (the institutional entry zone) 3. Price may immediately continue or pull back to retest OB 4. Enter on OB retest with "OB Touch" alert (after 5+ bars from creation) 5. Higher strength OB (OB+, OB++) indicates stronger institutional activity **For Reversal Trading:** 1. Identify Breaker Blocks (former OBs that failed) 2. BB represents potential reversal zone with opposite polarity 3. Wait for MSB in BB direction for confirmation 4. Enter on pullback to BB zone **Volume Analysis:** - 70%+ Buy/Sell dominance = strong institutional bias - 60-70% = moderate bias - 50-60% = weak bias, use caution **Optimal Conditions:** - Works best on trending markets (4H, Daily, Weekly timeframes) - Less effective in tight ranges or low-volume periods - Major pairs/assets with good liquidity recommended ## 🔔 Alert Conditions (8 Types) The indicator provides the following alerts: 1. **Bullish MSB** - Upward market structure break detected 2. **Bearish MSB** - Downward market structure break detected 3. **Bullish OB Created** - New bullish order block formed 4. **Bearish OB Created** - New bearish order block formed 5. **Bullish BB Created** - Bearish OB converted to bullish BB 6. **Bearish BB Created** - Bullish OB converted to bearish BB 7. **Bullish OB Touch** - Price revisited bullish OB (minimum 5 bars after creation) 8. **Bearish OB Touch** - Price revisited bearish OB (minimum 5 bars after creation) Touch alerts include a 5-bar delay to avoid alerting on immediate continuation moves. ## ⚠️ Limitations & Risk Disclosure **Known Limitations:** - MSB signals can produce whipsaws in ranging or choppy markets - Not all OB touches result in successful trades - OB zones may be tested multiple times before activation - Volume data may be unavailable or unreliable on some instruments/exchanges - Strength analysis requires sufficient volume history - Historical repainting: OB zones extend dynamically as price interacts with them **Risk Considerations:** This indicator is designed for educational and analytical purposes. It identifies potential institutional zones but does not predict price movement. Past identification of zones does not guarantee future trading success. OB and BB zones represent areas of interest, not guaranteed support/resistance. Always use proper risk management, combine with other analysis methods, and never risk more than you can afford to lose. ## 🎨 Visual Guide **Colors & Symbols:** - 🟢 Green boxes = Bullish Order Blocks / Bullish Breaker Blocks - 🔴 Red boxes = Bearish Order Blocks / Bearish Breaker Blocks - Horizontal lines = Market Structure Break levels - "MSB" labels = Structure break points (above/below line) - "OB" / "OB+" / "OB++" labels = Order Block strength (right side of box) - "BB" labels = Breaker Block (converted from OB) - "X% Buy/Sell" labels = Volume analysis (center of box) **Box Behavior:** - OB zones extend to the right as long as price interacts with them (not broken) - When OB is invalidated, it stops extending and converts to BB - BB zones remain fixed at their invalidation point ## 💡 Best Practices - Focus on OB+ and OB++ zones for higher probability setups - Confirm OB touches with price action (rejection wicks, engulfing patterns) - Use multiple timeframe analysis (Daily OB + 4H entry) - Avoid trading in the first 1-2 bars after OB creation (wait for touch alert) - Consider volume % - avoid zones with <60% dominance - Combine with other confluence factors (Fibonacci, support/resistance) - Set realistic stop losses beyond the OB/BB zone --- **Version:** 1.0 **Pine Script:** Version 6 **Category:** Smart Money Concepts, Order Flow, Market Structure For questions or suggestions, use the TradingView comments section below.
Pine Script®指标
由ideatradepro提供
1
OG FlowMasterOG FlowMaster is a precision tool designed to detect and visualize Imbalance Zones key areas where price moved inefficiently, leaving behind potential rebalancing points. By tracking these institutional footprints, OG FlowMaster helps traders anticipate liquidity grabs, reversals, and continuation moves with clarity and confidence. Whether you trade indices, forex, or commodities, it maps out the zones where price may seek balance between demand and supply turning invisible inefficiencies into visible trading opportunities. 🧠 Trade between the OGs. Master the Flow.
Pine Script®指标
由iamtradingdon提供
AEON | Liquidity HunterA visual tool for identifying high-probability liquidity zones across multiple timeframes and sessions. Overview Liquidity Hunter is a multi-timeframe, all market tool designed to help traders visualise areas where price may be drawn in search of resting liquidity. These liquidity zones often align with swing highs and lows, session extremes, or significant higher-time-frame reference points. Rather than producing entry or exit signals, this indicator aims to support market behaviour analysis and contextual awareness. Core Functions The indicator identifies potential liquidity areas using four optional methods: 1. Current Time Frame Analysis – Automatically locates swing highs and lows based on a customisable setting for sensitivity and lookback depth. 2. Higher Time Frame Analysis – Uses the same logic as above, but projects liquidity zones from a selected higher time frame (HTF). 3. Session Highs & Lows – Highlights the Asian, London, New York, or user-defined session extremes where liquidity commonly pools. 4. Time-Based Highs & Lows – Marks the final bar of any higher time frame (for example, the last H4 or D1 candle) to show potential liquidity reference points. Each method can be enabled or disabled independently and visually customised, allowing traders to tailor the display to their preferred style and time frame. How to Use When applied, the indicator plots horizontal levels representing potential liquidity pools. These levels persist until price engages with or mitigates them, at which point users can opt to modify their visual style or delete them as preferred. Adjusting the sensitivity of the current and higher time frame levels may reflect the market's likelihood of treating them as targets or reversal points. Many traders combine these levels with concepts such as market structure shifts, displacement, or fair-value gaps to build a narrative around price behaviour. Disclaimer This indicator is provided for educational and informational purposes only. It does not constitute financial advice or a trade signal. Past performance or visual confluence does not guarantee future results. --- About the Author Created by a passionate developer focused on algorithmic and quantitative concepts.
Pine Script®指标
由GA1A提供
3
Synapse Dynamics - Market Structure📊 SYNAPSE DYNAMICS - MARKET STRUCTURE INDICATOR An educational tool for learning and practicing Smart Money Concepts (SMC) methodology through visual representation of institutional price action patterns. ═══════════════════════════════════════════════════ 🎯 WHAT THIS INDICATOR DISPLAYS This indicator visualizes Smart Money Concepts patterns on your chart: - Order Blocks (OB) - Supply and demand zones based on institutional order flow theory. The indicator identifies these areas using price action criteria including the final opposing candle before a strong directional move. - Breaker Blocks - Failed order blocks that may act as support/resistance. These occur when an order block is invalidated but price returns to the zone, potentially reversing its role. - Fair Value Gaps (FVG) - Three-candle imbalance patterns where price gaps create inefficiencies. The indicator marks these zones for reference in analysis. - Market Structure - Break of Structure (BOS) and Change of Character (CHoCH) patterns based on swing high/low breaks. These help identify potential trend continuation or reversal points. - Reference Entry Signals - The indicator calculates potential entry zones with accompanying stop loss and take profit reference levels based on order block and FVG locations. These are for educational reference only. - Higher Timeframe Context - Optional filter that displays the higher timeframe trend direction to provide additional market context. - Information Panel - On-screen dashboard showing active reference signals, their status, and relevant price levels. - Swing Point Mapping - Labels recent higher highs (HH), higher lows (HL), lower highs (LH), and lower lows (LL) based on configurable swing detection parameters. ═══════════════════════════════════════════════════ ⚙️ HOW IT WORKS The indicator uses the following methodology: **Order Block Detection:** Identifies the last opposing candle before a strong directional move that breaks structure. Filters blocks by size to reduce noise. **Market Structure Analysis:** Tracks swing points and identifies when price breaks previous highs/lows to determine BOS or CHoCH patterns. **Fair Value Gap Identification:** Detects three-candle patterns where candle 1's high/low doesn't overlap with candle 3's low/high, creating an imbalance zone. **Reference Signal Generation:** Combines order block proximity, FVG presence, and market structure breaks to suggest potential study areas. Optional HTF trend filter can be enabled. **Timeframe Adaptation:** Automatically adjusts swing detection sensitivity based on the chart timeframe (using multipliers for intraday vs. higher timeframes). ═══════════════════════════════════════════════════ 📚 EDUCATIONAL PURPOSE & IMPORTANT LIMITATIONS **This indicator is designed as an educational tool for:** - Learning Smart Money Concepts methodology - Practicing pattern recognition - Understanding institutional price action theories - Analyzing market structure visually **Critical Understanding:** - All signals and levels are REFERENCE POINTS for study - not trading recommendations - The indicator displays patterns based on historical price action - it cannot predict future movements - Smart Money Concepts is a theoretical framework - market behavior varies - Backtested or historical results shown do not guarantee future performance - No indicator can account for all market variables, news events, or changing conditions **Proper Use:** This tool is meant to assist in learning technical analysis concepts. Users must develop their own analysis skills, risk management strategies, and trading plans. The displayed patterns require interpretation within broader market context. ═══════════════════════════════════════════════════ ⚙️ CUSTOMIZATION OPTIONS **Adjustable Parameters:** - Order Block: Minimum size threshold, maximum count displayed - Fair Value Gaps: Toggle visibility, maximum count - Market Structure: Swing detection length, BOS/CHoCH display - Signals: Entry/SL/TP calculation method, HTF filter toggle - Visual Settings: Colors, line styles, label sizes, panel position **Timeframe Compatibility:** Works on all timeframes from 1-minute to monthly charts. The swing detection automatically scales based on timeframe. ═══════════════════════════════════════════════════ ⚠️ DISCLAIMER This indicator is for educational and informational purposes only. It does not constitute financial advice or trading recommendations. Trading involves substantial risk of loss. Past patterns and historical analysis do not indicate future results. Users are responsible for their own trading decisions and risk management. The author assumes no liability for trading losses. ═══════════════════════════════════════════════════ 🔧 ALERT FUNCTIONALITY Built-in alert conditions notify you when: - New order blocks are detected - Market structure changes occur (BOS/CHoCH) - Reference entry signals appear Configure alerts through TradingView's alert system.
Pine Script®指标
由Dewaldnel11提供
ICT SMART MONEY__Advanced Multi-Timeframe Target TREND indicator with comprehensive ICT (Inner Circle Trader) concepts, session analysis, and smart money concepts for professional forex and crypto trading.__ --- ### __🔥 Core Features:__ #### __📈 Multi-Timeframe Analysis__ - __7 Timeframe Table__: 1min, 5min, 15min, 30min, 1hour, 4hour, Daily analysis - __Target System__: Stop Loss, Entry, TP1, TP2, TP3 calculations for each timeframe - __Trend Direction__: Visual arrows showing bullish/bearish bias across all timeframes #### __⚡ ICT Killzone Sessions__ - __4 Major Sessions__: Asia KZ, London KZ, NY AM, NY PM with colored session boxes - __Pivot Lines__: Automatic high/low detection with full format labels ("ASIA High", "LONDON Low") - __Global Label Alignment__: All session labels perfectly aligned for professional appearance - __Range Analytics__: Real-time pip calculations with historical averages and Turkish volatility analysis #### __🌍 Trading Session Management__ - __Individual Controls__: Asia/London sessions auto-enabled, NY sessions optional - __Horizontal Lines__: Clean session high/low tracking without clutter - __NY Lunch Session__: Additional 11:30-13:30 session for advanced analysis - __Session Transparency__: Adjustable transparency levels for optimal chart visibility #### __📍 Professional Key Levels__ - __Monday High/Low__: Weekly opening reference levels - __Previous Day High/Low__: Daily support/resistance zones - __Previous Week High/Low__: Major weekly levels - __Full Format Labels__: "Previous Day High" instead of "PDH" for crystal clarity - __160 Bar Distance__: Optimized label positioning for clean charts #### __🔗 Liquidity Trendlines__ - __Automatic Detection__: 8-bar lookback pivot detection system - __Breakout Signals__: Visual alerts when trendlines are broken - __Dynamic Padding__: 4.0 ATR-based trendline spacing - __Bullish/Bearish Colors__: Clear color coding for trend direction #### __💎 Smart Money Concepts (SMC)__ - __Fair Value Gaps (FVG)__: Automatic gap detection with mitigation tracking - __Structure Analysis__: BOS (Break of Structure) and CHoCH (Change of Character) detection - __Structure Fibonacci__: 5-level fibonacci retracements (78.6%, 70.5%, 61.8%, 50%, 38.2%) - __Lifecycle Management__: Complete FVG and structure history tracking #### __📊 Range Analytics Table__ - __Session Volatility__: Current pip movement vs historical averages - __Turkish Analysis__: "Güçlü Momentum", "Yüksek Aktivite", "Normal Aktivite", "Düşük Hareket", "Zayıf Session" - __Integrated Display__: Seamlessly positioned below multi-timeframe table - __Professional Formatting__: Color-coded session identification with status analysis
Pine Script®指标
由coin2mine提供
3
Smart Volume Imbalance (SVI) — Lower Panel (MNQ tuned)How to use & interpret (quick guide — tuned for MNQ) What SVI shows SVI > 0 — price move is directionally efficient with supportive volume (bullish smart flow). SVI < 0 — price move is directionally efficient with selling pressure (bearish smart flow). Large |SVI| (default threshold ±1.5) indicates institutional-strength moves worth respecting. Absorption (orange/yellow marker): high volume but small candle body → potential smart accumulation/distribution (often precedes directional moves). Primary signals Entry (momentum): SVI crosses above +svThresh on pullbacks aligned with trend (use price structure to confirm). Fade / Short: SVI falls below -svThresh at or near resistance, especially with bearish divergence. Divergence: Price makes higher high but SVI makes lower high → likely smart-money sell; be cautious. Default parameter reasoning for MNQ volLen = 20, spreadLen = 20 — balances responsiveness and noise for a fast future. normLen = 50, smoothLen = 8 — reduces tick noise but still responsive to MNQ spikes. absorbVolMul = 1.8 — flags volume ~80% above average as significant; tweak if your data source reports higher/lower baseline. Tuning tips If you see too many false signals, increase normLen or smoothLen (more smoothing). If you want earlier signals (more noise), lower smoothLen and normLen. For lower-timeframes (1s/1m) you may need shorter SMAs; for higher-timeframes (5m+) defaults often work well. Practical workflow Use SVI in a separate lower panel while trading MNQ on your preferred timeframe (1m–5m are common). Combine SVI with structure: only take bullish SVI signals above a prior structure support / after CHoCH, etc. Watch absorption zones near highs/lows — they often signal where smart money is stepping in/out.
Pine Script®指标
由RTF_TRADES提供
Smart Money Dynamics Blocks - Pearson MatrixSmart Money Dynamics Blocks — Pearson Matrix A structural fusion of Prime Number Theory, Pearson Correlation, and Cumulative Delta Geometry. 1. Mathematical Foundation This indicator is built on the intersection of Prime Number Theory and the Pearson correlation coefficient, creating a structural framework that quantifies how price and time evolve together. Prime numbers — unique, indivisible, and irregular — are used here as nonlinear time intervals. Each prime length (2, 3, 5, 7, 11…97) represents a regression horizon where correlation is measured between price and time. The result is a multi-scale correlation lattice — a geometric matrix that captures hidden directional strength and temporal bias beyond traditional moving averages. 2. The Pearson Matrix Logic For every prime interval p, the indicator calculates the linear correlation: r_p = corr(price, bar_index, p) Each r_p reflects how closely price and time move together across a prime-defined window. All r_p values are then averaged to create avgR, a single adaptive coefficient summarizing overall structural coherence. - When avgR > 0.8 → strong positive correlation (labeled R+). - When avgR < -0.8 → strong negative correlation (labeled R−). This approach gives a mathematically grounded definition of trend — one that isn’t based on pattern recognition, but on measurable correlation strength. 3. Sequential Prime Slope and Median Pivot Using the ordered sequence of 25 prime intervals, the model computes sequential slopes between adjacent primes. These slopes represent the rate of change of structure between two prime scales. A robust median aggregator smooths the slopes, producing a clean, stable directional vector. The system anchors this slope to the 41-bar pivot — the median of the first 25 primes — serving as the geometric midpoint of the prime lattice. The resulting yellow line on the chart is not an ordinary regression line; it’s a dynamic prime-slope function, adapting continuously with correlation feedback. 4. Regression-Style Parallel Bands Around this prime-slope line, the indicator constructs parallel bands using standard deviation envelopes — conceptually similar to a regression channel but recalculated through the prime–Pearson matrix. These bands adjust dynamically to: - Volatility, via standard deviation of residuals. - Correlation strength, via avgR sign weighting. Together, they visualize statistical deviation geometry, making it easier to observe symmetry, expansion, and contraction phases of price structure. 5. Volume and Cumulative Delta Peaks Below the geometric layer, the indicator incorporates a custom lower-timeframe volume feed — by default using 15-second data (custom_tf_input_volume = “15S”). This allows precise delta computation between up-volume and down-volume even on higher timeframe charts. From this feed, the indicator accumulates delta over a configurable period (default: 100 bars). When cumulative delta reaches a local maximum or minimum, peak and trough markers appear, showing the precise bar where buying or selling pressure statistically peaked. This combination of geometry and order flow reveals the intersection of market structure and energy — where liquidity pressure expresses itself through mathematical form. 6. Chart Interpretation The primary chart view represents the live execution of the indicator. It displays the relationship between structural correlation and volume behavior in real time. Orange “R+” and blue “R−” labels indicate regions of strong positive or negative Pearson correlation across the prime matrix. The yellow median prime-slope line serves as the structural backbone of the indicator, while green and red parallel bands act as dynamic regression boundaries derived from the underlying correlation strength. Peaks and troughs in cumulative delta — displayed as numerical annotations — mark statistically significant shifts in buying and selling pressure. The secondary visualization (Prime Regression Concept) expands on this by illustrating how regression behavior evolves across prime intervals. Each colored regression fan corresponds to a prime number window (2, 3, 5, 7, …, 97), demonstrating how multiple regression lines would appear if drawn independently. The indicator integrates these into one unified geometric model — eliminating the need to plot tens of regression lines manually. It’s a conceptual tool to help visualize the internal logic: the synthesis of many small-scale regressions into a single coherent structure. 7. Interpretive Insight This model is not a prediction tool; it’s an instrument of mathematical observation. By translating price dynamics into a prime-structured correlation space, it reveals how coherence unfolds through time — not as a forecast, but as a measurable evolution of structure. It unifies three analytical domains: - Prime distribution — defines a nonlinear temporal architecture. - Pearson correlation — quantifies statistical cohesion. - Cumulative delta — expresses behavioral imbalance in order flow. The synthesis creates a geometric analysis of liquidity and time — where structure meets energy, and where the invisible rhythm of market flow becomes measurable. 8. Contribution & Feedback Share your observations in the comments: - The time gap and alternation between R+ and R− clusters. - How different timeframes change delta sensitivity or reveal compression/expansion. - Prime intervals/clusters that tend to sit near turning points or liquidity shifts. - How avgR behaves across assets or regimes (trending, ranging, high-vol). - Notable interactions with the parallel bands (touches, breaks, mean-revert). Your field notes help others read the model more effectively and compare contexts. Summary - Primes define the structure. - Pearson quantifies coherence. - Slope median stabilizes geometry. - Regression bands visualize deviation. - Cumulative delta locates imbalance. Together, they construct a framework where mathematics meets market behavior.
Pine Script®指标
由ata_sabanci提供
12
Equinox Wolf - ICT MacrosEquinox Wolf – ICT Macros plots the key ICT session macro windows on your chart so you can focus on how price behaves inside each time range. The script anchors every session to America/New_York time, updates live or in backtesting, and only keeps the current trading day on screen, avoiding clutter from prior sessions. Each window can be toggled individually, the box fill, borders, and high/low/equilibrium levels share global color and style controls, and the levels extend forward until the next macro begins. Use it to highlight the ICT LND, NYAM, lunch, afternoon, and final-hour ranges and monitor how price reacts around their highs, lows, and midpoints.
Pine Script®指标
由jmgarcia_ict提供
AlphaFlow - Trend DetectorOVERVIEW AlphaFlow identifies and tracks large volume moves by combining volume analysis, price impact measurement, and conviction scoring to separate significant institutional moves from normal trading activity. Rather than just flagging high volume, this indicator evaluates whether large trades actually moved the market and assigns conviction levels based on multiple confirmation factors. WHAT MAKES THIS ORIGINAL This is not simply a volume indicator or volume-weighted price tracker. The originality lies in the multi-factor conviction scoring system that evaluates whether large volume moves represent genuine institutional conviction or just noise. Key Differentiators: - Combines volume ratio AND price impact (volume alone doesn't mean conviction) - Conviction scoring system that weighs trend alignment, follow-through, and volume persistence - Cumulative flow tracking that shows persistent directional pressure over time - Market regime detection (bullish/bearish/sideways) based on flow dynamics - Tiered signal system (EXTREME/HIGH/MEDIUM conviction) rather than binary signals This approach solves the problem of volume spikes that don't lead to meaningful price action, or price moves on low volume that don't persist. HOW IT WORKS 1. Whale Detection Engine: Volume Qualification: Compares current volume to a rolling average (default 50 bars). Whale activity requires volume to be at least 1.5x the average (adjustable). Price Impact Requirement: Volume alone isn't enough. The bar must also show significant price movement (default 0.1% minimum). This filters out high-volume consolidation where no one is actually committed to direction. Direction Identification: Bullish whale = close > open on high volume. Bearish whale = close < open on high volume. 2. Conviction Scoring System: The indicator doesn't just flag whale activity - it evaluates conviction through multiple factors: Base Conviction: Calculated from (volume_ratio × price_impact) / 10 This gives higher scores to moves with both exceptional volume AND large price swings. Trend Alignment Bonus (1.5x multiplier): Whale moves aligned with the 20-period EMA trend receive higher conviction scores. Institutional money tends to accumulate with the trend, not against it. Follow-Through Bonus (1.3x multiplier): After whale activity, does price continue in that direction over the next bars (default 3)? Genuine conviction shows persistence. Volume Persistence (1.2x multiplier): Is elevated volume sustained over multiple bars, or is it a one-time spike? The 3-bar average volume ratio above 1.5x indicates sustained interest. Conviction Levels: - EXTREME: Score > 15 (large whale emoji labels, highest confidence) - HIGH: Score > 8 (triangle signals, strong confidence) - MEDIUM: Score > 3 (small triangles, moderate confidence) - LOW: Score < 3 (not plotted to reduce noise) 3. Cumulative Flow Analysis: Rather than treating each whale move in isolation, the indicator tracks cumulative flow using an EMA of whale activity. This reveals persistent directional pressure. Flow Calculation: Each whale bar contributes (whale_strength × direction) to the flow. Strength is volume_ratio × price_impact_percent. Flow Momentum: Rate of change in the cumulative flow (5-bar change) Flow Acceleration: Second derivative (3-bar change of momentum) These metrics reveal whether whale activity is accelerating, decelerating, or reversing. 4. Market Regime Detection: Bullish Regime: Cumulative flow > 2 AND momentum positive Bearish Regime: Cumulative flow < -2 AND momentum negative Sideways Regime: Neither condition met The background color reflects the current regime, helping traders understand the broader context. 5. Flow Strength Meter: The main plot normalizes cumulative flow to a -100 to +100 scale based on the 100-bar range. This provides a consistent visual reference regardless of the asset or timeframe. Extreme levels at ±50 indicate particularly strong directional flow where reversals or consolidation become more likely. HOW TO USE IT Settings Configuration: Whale Detection Section: - Volume Average Period (default 50): Shorter periods make detection more sensitive to recent volume changes. Longer periods require more exceptional volume to trigger. - Whale Volume Multiplier (default 1.5): How much above average volume must be to qualify. Lower = more signals. Higher = only extreme moves. - Minimum Price Impact (default 0.1%): Filters out high-volume bars that didn't actually move price. Adjust based on asset volatility. Trend Analysis: - Trend Strength Period (default 20): EMA period for trend alignment bonus - Confirmation Bars (default 3): How many bars to check for follow-through Visual Settings: - Flow Strength Meter: Main plot showing normalized cumulative flow - Conviction Labels: Detailed labels showing volume ratio and price impact on extreme/high conviction whales - Trend Background: Color-coded regime indication Signal Interpretation: EXTREME Conviction (Whale Emoji Labels): These are the highest confidence signals. Large volume with significant price impact, aligned with trend, showing follow-through. These often mark the beginning or continuation of strong moves. HIGH Conviction (Large Triangles): Strong signals meeting most criteria. Good for main entries or adding to positions. MEDIUM Conviction (Small Triangles): Whale activity present but with fewer confirmation factors. Use for partial positions or require additional confirmation. Flow Strength Meter: - Above zero and rising: Bullish flow building - Below zero and falling: Bearish flow building - Approaching ±50: Extreme readings, watch for exhaustion - Crossing zero: Flow regime change Dashboard Information: The top-right table shows: - Current regime (bullish/bearish/sideways) - Flow strength value - Last whale direction - Conviction level of last whale - Current volume ratio - Flow momentum direction - Indicator status Trading Strategies: Trend Following: Take EXTREME and HIGH conviction signals aligned with the flow meter direction. Enter when flow is positive and rising for bullish whales, negative and falling for bearish whales. Regime-Based: Only trade in bullish/bearish regimes (colored backgrounds). Avoid trading in sideways regimes where whale moves tend to reverse quickly. Flow Reversals: When flow meter crosses zero with EXTREME conviction whale in the new direction, this often marks regime changes. Exhaustion Plays: When flow reaches ±50 extreme levels, watch for EXTREME conviction whales in the opposite direction as potential reversal signals. TECHNICAL DETAILS Volume Ratio = Current Volume / SMA(Volume, Period) Price Impact % = ABS(Close - Open) / Open × 100 Whale Detected = (Volume Ratio >= Multiplier) AND (Price Impact >= Minimum) Whale Direction = Close > Open ? 1 : -1 Base Conviction = (Volume Ratio × Price Impact %) / 10 Trend Alignment = Whale Direction == Trend Direction ? 1.5 : 1.0 Follow-Through = Price continues whale direction over N bars ? 1.3 : 1.0 Volume Persistence = SMA(Volume Ratio, 3) > 1.5 ? 1.2 : 1.0 Final Conviction = Base × Trend Alignment × Follow-Through × Volume Persistence Whale Flow = Whale Detected ? (Volume Ratio × Price Impact × Direction) : 0 Cumulative Flow = EMA(Whale Flow, 20) Flow Momentum = Change(Cumulative Flow, 5) Flow Acceleration = Change(Momentum, 3) Normalized Flow Strength = (Cumulative Flow / Highest(ABS(Cumulative Flow), 100)) × 100 WHAT THIS SOLVES Common Volume Indicator Problems: - Volume spikes that don't move price (consolidation noise) - Price moves on low volume that quickly reverse - No differentiation between strong and weak volume signals - Treating all high-volume bars equally regardless of context - No measure of whether volume represents conviction or panic Whale Flow Solutions: - Requires both volume AND price impact for signals - Conviction scoring separates strong moves from weak ones - Cumulative flow shows persistent pressure vs isolated spikes - Trend alignment and follow-through filter low-quality signals - Tiered system lets traders choose their confidence threshold LIMITATIONS - Cannot identify individual whales or attribute volume to specific entities - High volume can come from many sources (whales, retail panic, algo activity) - Works best on liquid assets with consistent volume patterns - Less reliable on low-volume assets or during market closures - Conviction scoring thresholds may need adjustment per asset/timeframe - Does not predict future whale activity, only identifies it after bars close - Flow can remain at extremes longer than expected during strong trends - False signals can occur during news events or earnings - Not a standalone trading system - requires risk management and other analysis Best used in combination with price action, support/resistance, and broader market context. EDUCATIONAL VALUE For traders learning about: - Volume analysis beyond simple volume indicators - Multi-factor signal confirmation systems - Market regime and flow concepts - Conviction-based scoring methodologies - Cumulative indicator design - Normalized plotting for cross-asset comparison - Pine Script table and dashboard creation Not financial advice.
Pine Script®指标
由AlphaEdge_提供
2
Friday & Monday HighlighterFriday & Monday Institutional Range Marker — Know Where Big Firms Set the Trap! 🧠 Description This indicator automatically highlights Friday and Monday sessions on your chart — days when institutional players and algorithmic firms (like Citadel, Jane Street, or Tower Research) quietly shape the upcoming week’s price structure. 🔍 Why Friday & Monday matter Friday : Large institutions often book profits or hedge into the weekend. Their final-hour moves reveal the next week’s bias. Monday : Big players rebuild positions, absorbing liquidity left behind by retail traders. Together, these two days define the range traps and breakout zones that often control price action until midweek. > In short, the Friday–Monday high and low often act as invisible walls — guiding scalpers, option sellers, and swing traders alike. 🧩 What this tool does ✅ Highlights Friday (red) and Monday (green) sessions ✅ Adds optional day labels above bars ✅ Works across all timeframes (best on 15min to 1hr charts) ✅ Helps you visually identify where institutions likely built their positions Use it to quickly spot: * Range boundaries that trap traders * Gap zones likely to get filled * High–low sweeps before reversals ⚙️ Recommended Use 1. Mark Friday’s high–low → Watch for liquidity sweeps on Monday. 2. When Monday holds above Friday’s high , breakout continuation is likely. 3. When Monday fails below Friday’s low , expect a reversal or trap. 4. Combine this with OI shifts, IV crush, and FII–DII flow data for confirmation. ⚠️ Disclaimer This indicator is for **educational and analytical purposes only**. It does **not constitute financial advice** or a trading signal. Markets are dynamic — always perform your own research before trading or investing.
Pine Script®指标
由JoanJagan提供
Khosro XAUUSD Strategy [TradingFinder] Trading Room Hunter Setup🔵 Introduction The Trading Room Hunter (TRH) strategy is an analytical model based on the Smart Money Concept, developed by Khosro, an Iranian international trader based in Dubai. This approach is built upon a deep understanding of liquidity engineering, market structure shifts, and institutional order flow. Its core objective is to identify the so-called TRH Zone, the area where market liquidity gets trapped and institutional investors begin accumulating positions. Unlike traditional indicator-based methods, the TRH Zone focuses purely on price behavior and supply & demand dynamics to pinpoint the most precise reversal zones in the market. Within Smart Money logic, every impulsive move in price results from the displacement or absorption of liquidity in a specific range. In the TRH model, the last pivot preceding the impulsive move (Origin Pivot) is defined as the Distal Line, and the Break Candle, which disrupts the market structure, forms the Proximal Line. The area between these two points defines the Trading Room Hunter Zone, a reaction zone where price, after creating a displacement or Break of Structure (BoS), often returns to fill an imbalance and provide a precision entry opportunity. In essence, the TRH Zone is the region where smart money seeks re-entry after a liquidity sweep and a confirmed CHoCH or BoS. It frequently lies between supply/demand boundaries and fair value gaps (FVGs), forming one of the strongest decision-making frameworks within modern price-action theory. Due to its structural accuracy, the TRH setup can also function as a Set & Forget Setup, where the trader defines the zone, places a limit order, and lets the market naturally react, eliminating emotional decision-making and allowing for automated execution aligned with institutional logic. 🔵 How to Use In the TRH strategy, entries are taken based on price returning to the area between the last impulsive pivot and the break candle. This range (the TRH Zone) represents the region where liquidity from the previous move remains concentrated. Before continuing its main direction, price often revisits this zone to fill imbalances or mitigate unfilled orders. The logic is simple: every explosive move originates from a point where large orders were executed, and TRH precisely highlights that institutional footprint. 🟣 Bullish Setup When the market breaks a structural high after a strong bearish leg, liquidity shifts from sellers to buyers. The last bearish candle before the breakout marks the origin of the bullish move, and the zone between that candle and the break candle becomes the smart-money entry area. As price revisits this zone and signs of exhaustion in selling pressure appear, that’s the optimal point for a long position. Stop-loss is placed slightly below the origin pivot, and targets are set at the next supply zone or upper liquidity pool. 🟣 Bearish Setup Conversely, when the market breaks a structural low after a sharp bullish leg, liquidity transitions from buyers to sellers. The last bullish candle before the drop is identified as the origin pivot, while the bearish break candle defines the lower boundary of the zone. The range between these two points forms the TRH Supply Zone, where late buyers are trapped and fresh institutional selling begins. As price retraces into this zone, short entries can be placed near the upper boundary, with stops above the pivot and targets toward the next liquidity pool below. Because of its structural precision and clearly defined reaction behavior, TRH is one of the most effective Set & Forget setups in Smart Money trading. Simply mark the zone, place your order, and let the market do the rest. 🔵Setting 🟣 Spike Filter | Movement Minimum Spike Bars : Defines the minimum number of consecutive candles required for a valid spike. Movement Power : Enables or disables the momentum-based spike filter. Movement Power Level : Sets the strength threshold; higher values filter out weaker moves and only detect strong spikes. Pivot Period : Defines the lookback range used to detect swing highs and swing lows in market structure. A higher value smooths out smaller fluctuations and focuses on major pivots, while a lower value increases sensitivity and identifies minor turning points more frequently. 🟣 Position Management Stop-Loss Threshold : Enables or disables the stop-loss threshold feature. Stop-Loss Threshold Value : Defines the value of the stop-loss threshold for risk management. Risk-Reward Ratio : Sets the desired risk-to-reward ratio (e.g., 1:1 or 1:2). Wide Zone Filter : Filters out zones that exceed a defined width threshold, preventing detection of overly broad TRH areas. 🟣 Display Settings Display Mode : Chooses between Setup (showing setups) or Signal (showing trade signals). Show Entry Levels : Displays entry levels on the chart (buy/sell zones) when enabled Only Display the Last Position : Displays only the most recent position on the chart when enabled. Setup Width Drawing : Adjusts the visual width of the setup drawings on the chart for better visibility. 🔵 Conclusion The TRH strategy is a precise structural model of liquidity flow that identifies zones where smart money is most likely to enter and where price is most likely to react. By combining the Origin Pivot and Break Candle, TRH isolates the key areas that drive institutional order flow. Without relying on indicators, it focuses purely on price structure, making it highly effective for both reactive entries and Set & Forget setups. Ultimately, TRH creates a balance between market structure and liquidity flow, enabling traders to identify institutional decision zones on the chart with minimal risk and maximum clarity
Pine Script®指标
由TFlab提供
8
Orderblocks & BreakersThis indicator identifies potential orderblocks and breakers based on recent swing highs and lows. It is built to offer a structured, customizable, and noise-controlled view of how price interacts with supply and demand levels. The script applies pivot-based swing detection to identify swing highs and lows. Bullish Orderblocks: The script Identifies and stores the last down candle before a swing high is breached and confirms and plots the orderblock with a market structure break (close above the swing high). Bearish Orderblocks: The script Identifies and stores the last up candle before a swing low is breached and confirms and plots the orderblock with a market structure break (close below the swing low). When price later closes through an existing orderblock, it is reclassified as a Breaker and recolored accordingly. (all colors can be changed in the settings) What Makes It Different Unlike most orderblock tools that simply mark every swing-based block, this version introduces: 1. Chop Control – automatically hides breakers that price repeatedly closes through (2 closes after the orderblock becomes a breaker), keeping only relevant zones visible. 2. Recent Block Filtering – limits how many of the recent orderblocks or breakers are displayed, preventing chart clutter. 3. Dynamic Updating – orderblocks automatically convert to breakers when price closes beyond them, with clear color changes. These features make it easier to study cleaner price structure without manually managing old or invalid zones. The optional Chop Control filter can reduce overlapping or repeatedly invalidated zones to keep the chart clearer. Customizable Parameters - Swing detection length (shorter means more aggressive pivot detection, longer means less aggressive so less highs/lows detected) - Number of recent blocks to display - Visibility toggles for orderblocks or breakers - Color and transparency controls for each type Alerts Alerts can be set to trigger when price tests any defined zone. Purpose This indicator is designed as a price structure visualization and study tool. It may assist in understanding how price interacts with previously active regions, but it does not produce signals or trade recommendations.
Pine Script®指标
由VEGAlgo提供
4
SMC Structures and Multi-Timeframe FVG PYSMC Structures and Multi-Timeframe FVG Indicator Tip: For optimal performance, adjust the number of FVGs displayed per timeframe in the settings. On high-performance devices, up to 8 FVGs per timeframe can be used without issues. If you experience slowdowns, reduce to 3 or 4 FVGs per timeframe. If the chart flashes, disable indicators one by one to identify conflicts, or try using the TradingView Mobile or Windows App for a smoother experience. Overview This Pine Script indicator enhances market analysis by integrating Smart Money Concepts (SMC) with Fair Value Gaps (FVG) across multiple timeframes. It identifies trend continuations (Break of Structure, BOS) and trend reversals (Change of Character, CHoCH) while highlighting liquidity zones through FVG detection. The indicator includes eight customizable Moving Average (MA) curve templates, disabled by default, to complement SMC and FVG analysis. Its originality lies in combining multi-timeframe FVG detection with SMC structure analysis, providing traders with a cohesive tool to visualize price action patterns and liquidity zones efficiently. Features and Functionality 1. Fair Value Gaps (FVG) The indicator detects and displays bullish, bearish, and mitigated FVGs, representing liquidity zones where price inefficiencies occur. These gaps are dynamically updated based on price action: Bullish FVG: Displayed in green when unmitigated, indicating potential upward liquidity zones. Bearish FVG: Displayed in red when unmitigated, signaling potential downward liquidity zones. Mitigated FVG: Shown in gray once the gap is partially filled by price action. Fully Mitigated FVG: Automatically removed from the chart when the gap is fully filled, reducing visual clutter. Users can customize the number of historical FVGs displayed via the settings, allowing focus on recent liquidity zones for targeted analysis. 2. SMC Structures The indicator identifies key SMC price action patterns: Break of Structure (BOS): Marked with gray lines, indicating trend continuation when price breaks a significant high or low. Change of Character (CHoCH): Highlighted with yellow lines, signaling potential trend reversals when price fails to maintain the current structure. High/Low Values: Blue lines denote the highest high and lowest low of the current structure, providing reference points for market context. 3. Multi-Timeframe FVG Analysis A standout feature is the ability to analyze FVGs across multiple timeframes simultaneously. This allows traders to align higher-timeframe liquidity zones with lower-timeframe entries, improving trade precision. The indicator fetches FVG data from user-selected timeframes, displaying them cohesively on the chart. 4. Moving Average (MA) Templates The indicator includes eight customizable MA curve templates in the Settings > Template section, disabled by default. These templates allow users to overlay MAs (e.g., SMA, EMA, WMA) to complement SMC and FVG analysis. Each template is pre-configured with different periods and types, enabling quick adaptation to various trading strategies, such as trend confirmation or dynamic support/resistance. How It Works The script processes price action to detect FVGs by analyzing three-candle patterns where a gap forms between the high/low of the first and third candles. Multi-timeframe data is retrieved using Pine Script’s request.security() function, ensuring accurate FVG plotting across user-defined timeframes. BOS and CHoCH are identified by tracking swing highs and lows, with logic to differentiate trend continuation from reversals. The MA templates are computed using standard Pine Script TA functions, with user inputs controlling visibility and parameters. How to Use Add to Chart: Apply the indicator to any TradingView chart. Configure Settings: FVG Settings: Adjust the number of historical FVGs to display (default: 10). Enable/disable specific FVG types (bullish, bearish, mitigated). Timeframe Selection: Choose up to three timeframes for FVG analysis (e.g., 1H, 4H, 1D) to align with your trading strategy. Structure Settings: Toggle BOS (gray lines) and CHoCH (yellow lines) visibility. Adjust sensitivity for structure detection if needed. MA Templates: Enable MA curves via the Template section. Select from eight pre-configured MA types and periods to suit your analysis. Interpret Signals: Use green/red FVGs for potential entry points targeting liquidity zones. Monitor gray lines (BOS) for trend continuation and yellow lines (CHoCH) for reversal signals. Align multi-timeframe FVGs with BOS/CHoCH for high-probability setups. Optionally, use MA curves for trend confirmation or dynamic levels. Clean Chart Usage: The indicator is designed to work standalone. Ensure no conflicting scripts are applied unless explicitly needed for your strategy. Why This Indicator Is Unique Unlike standalone FVG or SMC indicators, this script combines both concepts with multi-timeframe analysis, offering a comprehensive view of market structure and liquidity. The addition of customizable MA templates enhances flexibility, while the dynamic removal of mitigated FVGs keeps the chart clean. This mashup is purposeful, as it integrates complementary tools to streamline decision-making for traders using SMC strategies. Credits This indicator builds on foundational SMC and FVG concepts from the TradingView community. Some open-source code was reused, and do performance enhancement as you guys can read the code. This type of indicators has inspiration was drawn from public domain SMC methodologies. All code is partly original with manual work on performance optimization in Pine Script. Notes Ensure your chart is clean (no unnecessary drawings or indicators) to maximize clarity. The indicator is open-source, and traders are encouraged to review the code for deeper understanding. For optimal use, test the indicator on a demo account to familiarize yourself with its signals.
Pine Script®指标
由patwayfarer提供
13
3-6-9 Times v3.2 (rdt)3-6-9 Times v3.1 Indicator Overview Core Concept This indicator identifies specific times/dates where the digital root (sum of digits reduced to a single number) equals 3, 6, or 9, which are considered significant in numerology and certain trading methodologies. How It Calculates Roots: For Intraday Timeframes (minutes, hours): Formula: Hour + First Minute Digit + Last Minute Digit → Reduce to single digit For Daily/Weekly/Monthly Timeframes: Uses Month + Day calculations with similar digit reduction logic. Key Features: 1. Break Filter (Default: ON) Only displays labels after a swing high/low is broken Prevents clutter by filtering out times that don't coincide with price action Configurable pivot length (default: 2 bars) Optional directional filter: green candles must break highs, red candles must break lows 2. Root Selection Toggle individual roots (3, 6, or 9) on/off Each root has customizable color Default colors: Blue (3), Green (6), Red (9) 3. Display Options Marking Style: Labels, Vertical Lines, or Both Label Text Format: Root Only (default) - shows just "3", "6", or "9" Time/Date Only - shows the actual time/date Root + Time/Date (separate lines) - shows both Label Background: Toggle colored box behind text (default: OFF) Chart Background: Toggle colored background highlight (default: OFF) Text Color: Customizable (default: black) 4. Session Filter: Set specific hours/minutes for when to display signals Default: 00:00 to 23:59 (all day) Useful for focusing on specific trading sessions 5. Hour Offset Manual adjustment for timezone/DST issues Range: -12 to +12 hours Helps align calculations with your preferred timezone 6. Label Placement Green candles: Label appears above the bar Red candles: Label appears below the bar 7. Alerts Four alert conditions available: Any 3-6-9 root hit Specific Root 3 hit Specific Root 6 hit Specific Root 9 hit Typical Use Case Traders use this to identify potential reversal or continuation points when: A 3/6/9 time occurs Price breaks a recent swing high/low Combining this timing signal with other technical analysis The indicator helps identify "energetic" time windows that may correlate with increased volatility or directional moves.
Pine Script®指标
由rdtdale提供
Smart Money Volume Activity [AlgoAlpha]🟠 OVERVIEW This tool visualizes how Smart Money and Retail participants behave through lower-timeframe volume analysis. It detects volume spikes far beyond normal activity, classifies them as institutional or retail, and projects those zones as reactive levels. The script updates dynamically with each bar, showing when large players enter while tracking whether those events remain profitable. Each event is drawn as a horizontal line with bubble markers and summarized in a live P/L table comparing Smart Money versus Retail. 🟠 CONCEPTS The core logic uses Z-score normalization on lower-timeframe volumes (like 5m inside a 1h chart). This lets the script detect statistically extreme bursts of buying or selling activity. It classifies each detected event as: Smart Money — volume inside the candle body (suggesting hidden accumulation or distribution) Retail — volume closing at bar extremes (suggesting chase entries or panic exits) When new events appear, the script plots them as horizontal levels that persist until price interacts again. Each level acts as a potential reaction zone or liquidity footprint. The integrated P/L table then measures which class (Retail or Smart Money) is currently “winning” — comparing cumulative profitable versus losing volume. 🟠 FEATURES Classifies flows into Smart Money or Retail based on candle-body context. Displays live P/L comparison table for Smart vs Retail performance. Alerts for each detected Smart or Retail buy/sell event. 🟠 USAGE Setup : Add the script to any chart. Set Lower Timeframe Value (e.g., “5” for 5m) smaller than your main chart timeframe. The Period input controls how many bars are analyzed for the Z-score baseline. The Threshold (|Z|) decides how extreme a volume must be to plot a level. Read the chart : Horizontal lines mark where heavy Smart or Retail volume occurred. Bright bubbles show the strongest events — their size reflects Z-score intensity. The on-chart table updates live: green cells show profitable flows, red cells show losing flows. A dominant green Smart Money row suggests institutions are currently controlling price. See what others are doing : Settings that matter : Raising Threshold (|Z|) filters noise, showing only large players. Increasing Period smooths results but reacts slower to new bursts. Use Show = “Both” for full comparison or isolate “Smart Money” / “Retail” to focus on one class.
Pine Script®指标
由AlgoAlpha提供
47
Market Structure Report Library [TradingFinder]🔵 Introduction Market Structure is one of the most fundamental concepts in Price Action and Smart Money theory. In simple terms, it represents how price moves between highs and lows and reveals which phase of the market cycle we are currently in uptrend, downtrend, or transition. Each structure in the market is formed by a combination of Breaks of Structure (BoS) and Changes of Character (CHoCH) : BoS occurs when the market breaks a previous high or low, confirming the continuation of the current trend. CHoCH occurs when price breaks in the opposite direction for the first time, signaling a potential trend reversal. Since price movement is inherently fractal, market structure can be analyzed on two distinct levels : Major / External Structure: represents the dominant macro trend. Minor / Internal Structure: represents corrective or smaller-scale movements within the larger trend. 🔵 Library Purpose The “Market Structure Report Library” is designed to automatically detect the current market structure type in real time. Without drawing or displaying any visuals, it analyzes raw price data and returns a series of logical and textual outputs (Return Values) that describe the current structural state of the market. It provides the following information : Trend Type : External Trend (Major): Up Trend, Down Trend, No Trend Internal Trend (Minor): Up Trend, Down Trend, No Trend Structure Type : BoS : Confirms trend continuation CHoCH : Indicates a potential trend reversal Consecutive BoS Counter : Measures trend strength on both Major and Minor levels. Candle Type : Returns the current candle’s condition(Bullish, Bearish, Doji) This library is specifically designed for use in Smart Money–based screeners, indicators, and algorithmic strategies. It can analyze multiple symbols and timeframes simultaneously and return the exact structure type (BoS or CHoCH) and trend direction for each. 🔵 Function Outputs The function MS() processes the price data and returns seven key outputs, each representing a distinct structural state of the market. These values can be used in indicators, strategies, or multi-symbol screeners. 🟣 ExternalTrend Type : string Description : Represents the direction of the Major (External) market structure. Possible values : Up Trend Down Trend No Trend This is determined based on the behavior of Major Pivots (swing highs/lows). 🟣 InternalTrend Type : string Description : Represents the direction of the Minor (Internal) market structure. Possible values : Up Trend Down Trend No Trend 🟣 M_State Type : string Description : Specifies the type of the latest Major Structure event. Possible values : BoS CHoCH 🟣 m_State Type : string Description : Specifies the type of the latest Minor Structure event. Possible values : BoS CHoCH 🟣 MBoS_Counter Type : integer Description : Counts the number of consecutive structural breaks (BoS) in the Major structure. Useful for evaluating trend strength : Increasing count: indicates trend continuation. Reset to zero: typically occurs after a CHoCH. 🟣 mBoS_Counter Type : integer Description : Counts the number of consecutive structural breaks in the Minor structure. Helps analyze the micro structure of the market on lower timeframes. Higher value : strong internal trend. Reset : indicates a minor pullback or reversal. 🟣 Candle_Type Type : string Description : Represents the type of the current candle. Possible values : Bullish Bearish Doji import TFlab/Market_Structure_Report_Library_TradingFinder/1 as MSS PP = input.int (5 , 'Market Structure Pivot Period' , group = 'Symbol 1' ) = MSS.MS(PP)
Pine Script®库
由TFlab提供
4