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Liquidity

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® göstergesi
Quantura tarafından
Liquidity Regime OscillatorThe Liquidity Signal Line is a macro-driven confirmation tool designed to capture the underlying global liquidity regime in a single, smoothed oscillator. It measures the combined directional flow of monetary and financial conditions using high-impact macro data: Federal Reserve assets (WALCL), Treasury General Account (TGA), and the Overnight Reverse Repo facility (RRP) – adjusted by key market proxies such as the U.S. Dollar Index, credit spreads (HYG/LQD), and equity risk appetite (SPHB/SPHQ). These components are normalized, weighted, and then double-smoothed into a stable signal that translates complex liquidity dynamics into a simple 0–100 scale. Liquidity expansion provides fuel for risk assets, while contraction drains leverage and risk appetite. The Signal Line acts as a confirmation overlay for trend and allocation strategies, showing whether systemic liquidity is broadly supportive or restrictive. Readings above 50 indicate an expansionary environment (risk-on bias), below 50 a contractionary one (risk-off bias). Because the calculation uses higher-timeframe macro data, it can be displayed on any chart to give traders a consistent, regime-aware signal that bridges macro policy and technical execution.
Pine Script® göstergesi
myhcael tarafından
Liquidity Spectrum Visualizer BigBeluga - optimized by nguyenthlThis optimized version of the original Liquidity Spectrum Visualizer is designed for traders who want the same analytical output as the original indicator, but with significantly faster execution and smoother performance. The script preserves the original visualization and logic — it still maps volume activity across price bins to highlight liquidity clusters — but the internal calculations have been carefully restructured to reduce computational load and improve responsiveness on live charts. What’s new and why it matters Single-pass binning algorithm: Each bar is processed once, reducing loop complexity from O(N×M) to O(N). This allows the indicator to run fluidly on higher timeframes and large datasets. Precomputed min/max levels: Eliminates redundant array scans, improving efficiency for real-time analysis. Minimal label usage: Only key high/low markers are drawn, removing visual clutter and improving chart readability. Optimized resource handling: Boxes and lines are refreshed as a group, minimizing redraw lag. Why this is useful This version is particularly helpful for traders using complex layouts, slower machines, or multi-chart setups. It offers the same analytical insight into liquidity zones while keeping chart performance stable and responsive. How to use it Apply the indicator as you would the original version. It visualizes liquidity distributions, helping identify areas of concentrated activity or potential support/resistance zones. The script includes optional features such as gradient rendering and POC (Point of Control) highlighting, which can be toggled on or off for clarity. Notes The purpose of this version is purely performance optimization — analytical integrity is fully preserved. The chart example provided focuses solely on this indicator, with no additional overlays, so users can clearly see its visual output.
Pine Script® göstergesi
tranholenguyen tarafından
1
Smart Money Flow Index (SMFI) - Advanced SMC [PhenLabs]📊Smart Money Flow Index (SMFI) Version: PineScript™v6 📌Description The Smart Money Flow Index (SMFI) is an advanced Smart Money Concepts implementation that tracks institutional trading behavior through multi-dimensional analysis. This comprehensive indicator combines volume-validated Order Block detection, Fair Value Gap identification with auto-mitigation tracking, dynamic Liquidity Zone mapping, and Break of Structure/Change of Character detection into a unified system. Unlike basic SMC indicators, SMFI employs a proprietary scoring algorithm that weighs five critical factors: Order Block strength (validated by volume), Fair Value Gap size and recency, proximity to Liquidity Zones, market structure alignment (BOS/CHoCH), and multi-timeframe confluence. This produces a Smart Money Score (0-100) where readings above 70 represent optimal institutional setup conditions. 🚀Points of Innovation Volume-Validated Order Block Detection – Only displays Order Blocks when formation candle exceeds customizable volume multiplier (default 1.5x average), filtering weak zones and highlighting true institutional accumulation/distribution Auto-Mitigation Tracking System – Fair Value Gaps and Order Blocks automatically update status when price mitigates them, with visual distinction between active and filled zones preventing trades on dead levels Proprietary Smart Money Score Algorithm – Combines weighted factors (OB strength 25%, FVG proximity 20%, Liquidity 20%, Structure 20%, MTF 15%) into single 0-100 confidence rating updating in real-time ATR-Based Adaptive Calculations – All distance measurements use 14-period Average True Range ensuring consistent function across any instrument, timeframe, or volatility regime without manual recalibration Dynamic Age Filtering – Automatically removes liquidity levels and FVGs older than configurable thresholds preventing chart clutter while maintaining relevant levels Multi-Timeframe Confluence Integration – Analyzes higher timeframe bias with customizable multipliers (2-10x) and incorporates HTF trend direction into Smart Money Score for institutional alignment 🔧Core Components Order Block Engine – Detects institutional supply/demand zones using characteristic patterns (down-move-then-strong-up for bullish, up-move-then-strong-down for bearish) with minimum volume threshold validation, tracks mitigation when price closes through zones Fair Value Gap Scanner – Identifies price imbalances where current candle's low/high leaves gap with two-candle-prior high/low, filters by minimum size percentage, monitors 50% fill for mitigation status Liquidity Zone Mapper – Uses pivot high/low detection with configurable lookback to mark swing points where stop losses cluster, extends horizontal lines to visualize sweep targets, manages lifecycle through age-based removal Market Structure Analyzer – Tracks pivot progression to identify trend through higher-highs/higher-lows (bullish) or lower-highs/lower-lows (bearish), detects Break of Structure and Change of Character for trend/reversal confirmation Scoring Calculation Engine – Evaluates proximity to nearest Order Blocks using ATR-normalized distance, assesses FVG recency and distance, calculates liquidity proximity with age weighting, combines structure bias and MTF trend into smoothed final score 🔥Key Features Customizable Display Limits – Control maximum Order Blocks (1-10), Liquidity Zones (1-10), and FVG age (10-200 bars) to maintain clean charts focused on most relevant institutional levels Gradient Strength Visualization – All zones render with transparency-adjustable coloring where stronger/newer zones appear more solid and weaker/older zones fade progressively providing instant visual hierarchy Educational Label System – Optional labels identify each zone type (Bullish OB, Bearish OB, Bullish FVG, Bearish FVG, BOS) with color-coded text helping traders learn SMC concepts through practical application Real-Time Smart Money Score Dashboard – Top-right table displays current score (0-100) with color coding (green >70, yellow 30-70, red <30) plus trend arrow for at-a-glance confidence assessment Comprehensive Alert Suite – Configurable notifications for Order Block formation, Fair Value Gap detection, Break of Structure events, Change of Character signals, and high Smart Money Score readings (>70) Buy/Sell Signal Integration – Automatically plots triangle markers when Smart Money Score exceeds 70 with aligned market structure and fresh Order Block detection providing clear entry signals 🎨Visualization Order Block Boxes – Shaded rectangles extend from formation bar spanning high-to-low of institutional candle, bullish zones in green, bearish in red, with customizable transparency (80-98%) Fair Value Gap Zones – Rectangular areas marking imbalances, active FVGs display in bright colors with adjustable transparency, mitigated FVGs switch to gray preventing trades on filled zones Liquidity Level Lines – Dashed horizontal lines extend from pivot creation points, swing highs in bearish color (short targets above), swing lows in bullish color (long targets below), opacity decreases with age Structure Labels – "BOS" labels appear above/below price when Break of Structure confirmed, colored by direction (green bullish, red bearish), positioned at 1% beyond highs/lows for visibility Educational Info Panel – Bottom-right table explains key terminology (OB, FVG, BOS, CHoCH) and score interpretation (>70 high probability) with semi-transparent background for readability 📖Usage Guidelines General Settings Show Order Blocks – Default: On, toggles visibility of institutional supply/demand zones, disable when focusing solely on FVGs or Liquidity Show Fair Value Gaps – Default: On, controls FVG zone display including active and mitigated imbalances Show Liquidity Zones – Default: On, manages liquidity line visibility, disable on lower timeframes to reduce clutter Show Market Structure – Default: On, toggles BOS/CHoCH label display Show Smart Money Score – Default: On, controls score dashboard visibility Order Block Settings OB Lookback Period – Default: 20, Range: 5-100, controls bars scanned for Order Block patterns, lower values detect recent activity, higher values find older blocks Min Volume Multiplier – Default: 1.5, Range: 1.0-5.0, sets minimum volume threshold as multiple of 20-period average, higher values (2.0+) filter for strongest institutional candles Max Order Blocks to Display – Default: 3, Range: 1-10, limits simultaneous Order Blocks shown, lower settings (1-3) maintain focus on most recent zones Fair Value Gap Settings Min FVG Size (%) – Default: 0.3, Range: 0.1-2.0, defines minimum gap size as percentage of close price, lower values detect micro-imbalances, higher values focus on significant gaps Max FVG Age (bars) – Default: 50, Range: 10-200, removes FVGs older than specified bars, lower settings (10-30) for scalping, higher (100-200) for swing trading Show FVG Mitigation – Default: On, displays filled FVGs in gray providing visual history, disable to show only active untouched imbalances Liquidity Zone Settings Liquidity Lookback – Default: 50, Range: 20-200, sets pivot detection period for swing highs/lows, lower values (20-50) mark shorter-term liquidity, higher (100-200) identify major swings Max Liquidity Age (bars) – Default: 100, Range: 20-500, removes liquidity lines older than specified bars, adjust based on timeframe Liquidity Sensitivity – Default: 0.5, Range: 0.1-1.0, controls pivot detection sensitivity, lower values mark only major swings, higher values identify minor swings Max Liquidity Zones to Display – Default: 3, Range: 1-10, limits total liquidity levels shown maintaining chart clarity Market Structure Settings Pivot Length – Default: 5, Range: 3-15, defines bars to left/right for pivot validation, lower values (3-5) create sensitive structure breaks, higher (10-15) filter for major shifts Min Structure Move (%) – Default: 1.0, Range: 0.1-5.0, sets minimum percentage move required between pivots to confirm structure change Multi-Timeframe Settings Enable MTF Analysis – Default: On, activates higher timeframe trend analysis incorporation into Smart Money Score Higher Timeframe Multiplier – Default: 4, Range: 2-10, multiplies current timeframe to determine analysis timeframe (4x on 15min = 1hour) Visual Settings Bullish Color – Default: Green (#089981), sets color for bullish Order Blocks, FVGs, and structure elements Bearish Color – Default: Red (#f23645), defines color for bearish elements Neutral Color – Default: Gray (#787b86), controls color of mitigated zones and neutral elements Show Educational Labels – Default: On, displays text labels on zones identifying type (OB, FVG, BOS), disable once familiar with patterns Order Block Transparency – Default: 92, Range: 80-98, controls Order Block box transparency FVG Transparency – Default: 92, Range: 80-98, sets Fair Value Gap zone transparency independently from Order Blocks Alert Settings Alert on Order Block Formation – Default: On, triggers notification when new volume-validated Order Block detected Alert on FVG Formation – Default: On, sends alert when Fair Value Gap appears enabling quick response to imbalances Alert on Break of Structure – Default: On, notifies when BOS or CHoCH confirmed Alert on High Smart Money Score – Default: On, alerts when Smart Money Score crosses above 70 threshold indicating high-probability setup ✅Best Use Cases Order Block Retest Entries – After Break of Structure, wait for price retrace into fresh bullish Order Block with Smart Money Score >70, enter long on zone reaction targeting next liquidity level Fair Value Gap Retracement Trading – When price creates FVG during strong move then retraces, enter as price approaches unfilled gap expecting institutional orders to continue trend Liquidity Sweep Reversals – Monitor price approaching swing high/low liquidity zones against prevailing Smart Money Score trend, after stop hunt sweep watch for rejection into premium Order Block/FVG Multi-Timeframe Confluence Setups – Identify alignment when current timeframe Order Block coincides with higher timeframe FVG plus MTF analysis showing matching trend bias Break of Structure Continuations – After BOS confirms trend direction, trade pullbacks to nearest Order Block or FVG in direction of structure break using Smart Money Score >70 as entry filter Change of Character Reversal Plays – When CHoCH detected indicating potential reversal, look for Smart Money Score pivot with opposing Order Block formation then enter on structure confirmation ⚠️Limitations Lagging Pivot Calculations – Pivot-based features (Liquidity Zones, Market Structure) require bars to right of pivot for confirmation, meaning these elements identify levels retrospectively with delay equal to lookback period Whipsaw in Ranging Markets – During choppy conditions, Order Blocks fail frequently and structure breaks produce false signals as Smart Money Score fluctuates without clear institutional bias, best used in trending markets Volume Data Dependency – Order Block volume validation requires accurate volume data which may be incomplete on Forex pairs or limited in crypto exchange feeds Subjectivity in Scoring Weights – Proprietary 25-20-20-20-15 weighting reflects general institutional behavior but may not optimize for specific instruments or market regimes, user cannot adjust factor weights Visual Complexity on Lower Timeframes – Sub-hour timeframes generate excessive zones creating cluttered charts, requires aggressive display limit reduction and higher minimum thresholds No Fundamental Integration – Indicator analyzes purely technical price action and volume without incorporating economic events, news catalysts, or fundamental shifts that override technical levels 💡What Makes This Unique Unified SMC Ecosystem – Unlike indicators displaying Order Blocks OR FVGs OR Liquidity separately, SMFI combines all three institutional concepts plus market structure into single cohesive system Proprietary Confidence Scoring – Rather than manual setup assessment, automated Smart Money Score quantifies probability by weighting five institutional dimensions into actionable 0-100 rating Volume-Filtered Quality – Eliminates weak Order Blocks forming without institutional volume confirmation, ensuring displayed zones represent genuine accumulation/distribution Adaptive Lifecycle Management – Automatically updates mitigation status and removes aged zones preventing trades on dead levels through continuous validity and age monitoring Educational Integration – Built-in tooltips, labeled zones, and reference panel make indicator functional for both learning Smart Money Concepts and executing strategies 🔬How It Works Order Block Detection – Scans for patterns where strong directional move follows counter-move creating last down-candle before rally (bullish OB) or last up-candle before sell-off (bearish OB), validates formations only when candle exhibits volume exceeding configurable multiple (default 1.5x) of 20-bar average volume Fair Value Gap Identification – Compares current candle’s high/low against two-candles-prior low/high to detect price imbalances, calculates gap size as percentage of close and filters micro-gaps below minimum threshold (default 0.3%), monitors whether subsequent price fills 50% triggering mitigation status Liquidity Zone Mapping – Employs pivot detection using configurable lookback (default 50 bars) to identify swing highs/lows where retail stops cluster, extends horizontal reference lines from pivot creation and applies age-based filtering to remove stale zones Market Structure Analysis – Tracks pivot progression using structure-specific lookback (default 5 bars) to determine trend, confirms uptrend when new pivot high exceeds previous by minimum move percentage, detects Break of Structure when price breaks recent pivot level, flags Change of Character for potential reversals Multi-Timeframe Confluence – When enabled, requests security data from higher timeframe (current TF × HTF multiplier, default 4x), compares HTF close against HTF 20-period MA to determine bias, contributes ±50 points to score ensuring alignment with institutional positioning on superior timeframe Smart Money Score Calculation – Evaluates Order Block component via ATR-normalized distance producing max 100-point contribution weighted at 25%, assesses FVG factor through age penalty and distance at 20% weight, calculates Liquidity proximity at 20%, incorporates structure bias (±50-100 points) at 20%, adds MTF component at 15%, applies 3-period smoothing to reduce volatility Visual Rendering and Lifecycle – Draws Order Block boxes, Fair Value Gap rectangles with color coding (green/red active, gray mitigated), extends liquidity dashed lines with fade-by-age opacity, plots BOS labels, displays Smart Money Score dashboard, continuously updates checking mitigation conditions and removing elements exceeding age/display limits 💡Note: The Smart Money Flow Index combines multiple Smart Money Concepts into unified institutional order flow analysis. For optimal results, use the Smart Money Score as confluence filter rather than standalone entry signal – scores above 70 indicate high-probability setups but should be combined with risk management, higher timeframe bias, and market regime understanding.
Pine Script® göstergesi
PhenLabs tarafından
2
Dynamic Liquidity HeatMap Profile [BigBeluga]🔵 OVERVIEW The Dynamic Liquidity HeatMap Profile is a smart-flow liquidity tracker that maps where stop-loss clusters and resting limit orders are likely positioned. Instead of traditional volume profiles based only on executed transactions, this tool projects probable liquidity pools — areas where traders are trapped or positioned and where smart money may hunt stops or fill orders. It dynamically scans recent price swings, builds liquidity zones above and below price, and visualizes them as a heat map + histogram — highlighting areas with the greatest liquidity attraction. Orange highlights the highest-concentration liquidity (POC), making potential sweep targets obvious. 🔵 CONCEPTS Liquidity pools form above swing highs (buy stops) and below swing lows (sell stops). Market makers & large players often push price into these zones to trigger stops and capture liquidity. The indicator uses recent volatility + volume expansion to estimate where these pools exist. Horizontal heat bars show depth and intensity of probable liquidity. Profile side histogram displays buy-side vs sell-side liquidity distribution. 🔵 FEATURES Dynamic Liquidity Detection — finds potential stop-loss clusters from recent swing behavior. Dual-Side Heatmap — split liquidity view above (short stops) and below (long stops) current price. Volume-Weighted Levels — higher volatility & volume = deeper liquidity expectation. Real-Time Heat Coloring • Lime = liquidity below price (potential buy-side fuel) • Blue = liquidity above price (potential sell-side fuel) • Orange = peak liquidity (POC) Liquidity Profile Histogram — plotted at right side, layered by strength. Auto-Cleaning Engine — removes invalidated liquidity after breaks. Adjustable lookback window and bin resolution . 🔵 HOW TO USE Look for price moving toward dense liquidity zones — high probability of wick raids or sweeps. Orange POC often acts as magnet — strong target zone for smart money. Combine with SFP / BOS logic to time reversals after liquidity hunts. In trend, price repeatedly sweeps opposite-side liquidity before continuation. Use liquidity walls as bias filters — heavy liquidity above often precedes downward move, and vice-versa. Great for scalping sessions, indices, FX, BTC, ETH. 🔵 CONCLUSION The Dynamic Liquidity HeatMap Profile gives traders a tactical edge by revealing where the market’s hidden liquidity resides. It highlights where shorts and longs are positioned, identifies likely sweep zones, and marks the most attractive liquidity magnet (POC). Use it to anticipate stop hunts, avoid getting trapped, and align with smart-money flow instead of fighting it.
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BigBeluga tarafından
25
US/SPY- Financial Regime Index Swing Strategy Credits: concept inspired by EdgeTools Bloomberg Financial Conditions Index (Proxy) Improvements: eight component basket, inverse volatility weights, winsorization option( statistical technique used to limit the influence of outliers in a dataset by replacing extreme values with less extreme ones, rather than removing them entirely), slope and price gates, exit guards, table and gradients. Summary in one paragraph A macro regime swing strategy for index ETFs, futures, FX majors, and large cap equities on daily calculation with optional lower time execution. It acts only when a composite Financial Conditions proxy plus slope and an optional price filter align. Originality comes from an eight component macro basket with inverse volatility weights and winsorized return z scores that produce a portable yardstick. Scope and intent Markets: SPY and peers, ES futures, ACWI, liquid FX majors, BTC, large cap equities. Timeframes: calculation daily by default, trade on any chart. Default demo: SPY on Daily. Purpose: convert broad financial conditions into clear swing bias and exits. Originality and usefulness Unique fusion: return z scores for eight liquid proxies with inverse volatility weighting and optional winsorization, then slope and price gates. Failure mode addressed: false starts in chop and early shorts during easy liquidity. Testability: all knobs are inputs and the table shows components and weights. Portable yardstick: z scores center at zero so thresholds transfer across symbols. Method overview in plain language Base measures Return basis: natural log return over a configurable window, standardized to a z score. Winsorization optional to cap extremes. Components EQ US and EQ GLB measure equity tone. CREDIT uses LQD over HYG. Higher credit quality outperformance is risk off so sign is flipped after z score. RATES2Y uses two year yield, sign flipped. SLOPE uses ten minus two year yield spread. USD uses DXY, sign flipped. VOL uses VIX, sign flipped. LIQ uses BIL over SPY, sign flipped. Each component is smoothed by the composite EMA. Fusion rule Weighted sum where weights are equal or inverse volatility with exponent gamma, normalized to percent so they sum to one. Signal rule Long when composite crosses up the long threshold and its slope is positive and price is above the SMA filter, or when composite is above the configured always long floor. Short when composite crosses down the short threshold and its slope is negative and price is below the SMA filter. Long exit on cross down of the long exit line or on a fresh short signal. Short exit on cross up of the short exit line or on a fresh long signal, or when composite falls below the force short exit guard. What you will see on the chart Markers on suggestion bars: L for long, S for short, LX and SX for exits. Reference lines at zero and soft regime bands at plus one and minus one. Optional background gradient by regime intensity. Compact table with component z, weight percent, and composite readout. Table fields and quick reading guide Component: EQ US, EQ GLB, CREDIT, RATES2Y, SLOPE, USD, VOL, LIQ. Z: current standardized value, green for positive risk tone where applicable. Weight: contribution percent after normalization. Composite: current index value. Reading tip: a broadly green Z column with slope positive often precedes better long context. Inputs with guidance Setup Calc timeframe: default Daily. Leave blank to inherit chart. Lookback: 50 to 1500. Larger length stabilizes regimes and delays turns. EMA smoothing: 1 to 200. Higher smooths noise and delays signals. Normalization Winsorize z at ±3: caps extremes to reduce one off shocks. Return window for equities: 5 to 260. Shorter reacts faster. Weighting Weight lookback: 20 to 520. Weight mode: Equal or InvVol. InvVol exponent gamma: 0.1 to 3. Higher compresses noisy components more. Signals Trade side: Long Short or Both. Entry threshold long and short: portable z thresholds. Exit line long and short: soft exits that give back less. Slope lookback bars: 1 to 20. Always long floor bfci ≥ X: macro easy mode keep long. Force short exit when bfci < Y: macro stress guard. Confirm Use price trend filter and Price SMA length. View Glow line and Show component table. Symbols SPY ACWI HYG LQD VIX DXY US02Y US10Y BIL are defaults and can be changed. Realism and responsible publication No performance claims. Past is not future. Shapes can move intrabar and settle on close. Execution is on standard candles only. Honest limitations and failure modes Major economic releases and illiquid sessions can break assumptions. Very quiet regimes reduce contrast. Use longer windows or higher thresholds. Component proxies are ETFs and indexes and cannot match a proprietary FCI exactly. Strategy notice Orders are simulated on standard candles. All security calls use lookahead off. Nonstandard chart types are not supported for strategies. Entries and exits Long rule: bfci cross above long threshold with positive slope and optional price filter OR bfci above the always long floor. Short rule: bfci cross below short threshold with negative slope and optional price filter. Exit rules: long exit on bfci cross below long exit or on a short signal. Short exit on bfci cross above short exit or on a long signal or on force close guard. Position sizing Percent of equity by default. Keep target risk per trade low. One percent is a sensible starting point. For this example we used 3% of the total capital Commisions We used a 0.05% comission and 5 tick slippage Legal Education and research only. Not investment advice. Test in simulation first. Use realistic costs.
Pine Script® stratejisi
exlux tarafından
NFCI National Financial Conditions IndexChicago Fed National Financial Conditions Index (NFCI) This indicator plots the Chicago Fed’s National Financial Conditions Index (NFCI). The NFCI updates weekly, and its latest value is displayed across all chart intervals. The NFCI measures how tight or loose overall U.S. financial conditions are. It combines over 100 weekly indicators from the money, bond, and equity markets—along with credit and leverage data—into a single composite index. The NFCI has three key subcomponents, each of which can be independently selected within the indicator: Risk: Captures volatility, credit spreads, and overall market stress. Credit: Tracks how easy or difficult it is to borrow across households and businesses. Leverage: Reflects the level of debt and balance-sheet strength in the financial system. When the NFCI rises, financial conditions are tightening — liquidity is contracting, borrowing costs are climbing, and investors tend to reduce risk. When the NFCI falls, conditions are loosening — liquidity expands, credit flows more freely, and markets generally become more risk-seeking. Traders often use the NFCI as a macro backdrop for risk appetite: rising values signal growing stress and defensive positioning, while falling values indicate improving liquidity and a more supportive market environment.
Pine Script® göstergesi
CarusoInsights tarafından
Liquidity Grab + RSI Divergence═══════════════════════════════════════════════════════════════ LIQUIDITY GRAB + RSI DIVERGENCE INDICATOR ═══════════════════════════════════════════════════════════════ 📌 OVERVIEW This indicator identifies high-probability reversals by combining: • Liquidity sweeps (stop hunts) • RSI divergence confirmation • Filters false breakouts automatically ═══════════════════════════════════════════════════════════════ 🟢 BUY SIGNAL (Green Triangle Up) REQUIRES BOTH CONDITIONS: 1. Liquidity Grab Below Previous Low • Price breaks BELOW recent low • Candle CLOSES ABOVE that low • Traps sellers who shorted the breakdown 2. Bullish RSI Divergence • Price: Lower Low (LL) • RSI: Higher Low (HL) • Shows weakening downward momentum ➜ Result: Potential bullish reversal ═══════════════════════════════════════════════════════════════ 🔴 SELL SIGNAL (Red Triangle Down) REQUIRES BOTH CONDITIONS: 1. Liquidity Grab Above Previous High • Price breaks ABOVE recent high • Candle CLOSES BELOW that high • Traps buyers who bought the breakout 2. Bearish RSI Divergence • Price: Higher High (HH) • RSI: Lower High (LH) • Shows weakening upward momentum ➜ Result: Potential bearish reversal ═══════════════════════════════════════════════════════════════ 📊 VISUAL INDICATORS Main Signals: 🔺 Large Green Triangle = BUY (Liq Grab + Bullish Div) 🔻 Large Red Triangle = SELL (Liq Grab + Bearish Div) Reference Levels: ━ Red Line = Previous High Level ━ Green Line = Previous Low Level Additional Markers (Optional): ○ Small Green Circle = Liquidity grab low only ○ Small Red Circle = Liquidity grab high only ✕ Small Blue Cross = Bullish divergence only ✕ Small Orange Cross = Bearish divergence only ═══════════════════════════════════════════════════════════════ ⚙️ SETTINGS 1. Lookback Period (Default: 20) • Range: 5-100 • Sets how far back to identify previous highs/lows • Higher = fewer but stronger levels • Lower = more frequent but weaker levels 2. RSI Length (Default: 14) • Range: 5-50 • Standard RSI calculation period • 14 is industry standard 3. RSI Divergence Lookback (Default: 5) • Range: 3-20 • Controls pivot point sensitivity • Higher = fewer divergence signals • Lower = more divergence signals 4. Show Labels (Default: ON) • Toggle BUY/SELL text labels • Disable for cleaner chart view ═══════════════════════════════════════════════════════════════ 💡 HOW TO USE Step 1: WAIT FOR CONFIRMATION • Only trade LARGE TRIANGLE signals • Ignore small circles/crosses alone Step 2: CHECK TIMEFRAME • Best on: 15min, 1H, 4H, Daily • Avoid: 1min, 5min (too noisy) Step 3: CONFIRM CONTEXT • Check overall market trend • Identify key support/resistance • Look for confluence with price action Step 4: ENTRY & RISK MANAGEMENT • Enter on signal candle close or pullback • Stop loss below/above the liquidity grab wick • Target: Previous swing high/low or key levels • Risk/Reward: Minimum 1:2 ratio Step 5: SET ALERTS • Create alert for "BUY Signal" • Create alert for "SELL Signal" • Never miss opportunities ═══════════════════════════════════════════════════════════════ ✅ BEST PRACTICES DO: ✓ Use on multiple timeframes for confluence ✓ Combine with support/resistance zones ✓ Wait for both conditions (liq grab + divergence) ✓ Practice on demo account first ✓ Use proper position sizing DON'T: ✗ Trade every small circle/cross ✗ Use on very low timeframes (<15min) ✗ Ignore overall market context ✗ Trade without stop loss ✗ Risk more than 1-2% per trade ═══════════════════════════════════════════════════════════════ ⚠️ IMPORTANT NOTES • This is a CONFIRMATION tool, not a holy grail • No indicator is 100% accurate • Combine with your trading strategy • Backtest on your preferred instruments • Adjust parameters for your trading style • Higher timeframes = more reliable signals • Always use risk management ═══════════════════════════════════════════════════════════════ 🔔 ALERTS INCLUDED Two alert conditions are built-in: 1. "BUY Signal" - Liquidity Grab + Bullish RSI Divergence 2. "SELL Signal" - Liquidity Grab + Bearish RSI Divergence ═══════════════════════════════════════════════════════════════ 📈 RECOMMENDED SETTINGS BY TIMEFRAME 5-15 Min Charts: • Lookback: 10-15 • RSI Length: 14 • RSI Div Lookback: 3-5 1H-4H Charts: • Lookback: 20-30 • RSI Length: 14 • RSI Div Lookback: 5-7 Daily Charts: • Lookback: 30-50 • RSI Length: 14 • RSI Div Lookback: 7-10 ═══════════════════════════════════════════════════════════════ Good luck and trade safe! 🚀
Pine Script® göstergesi
hassanejaz1 tarafından
Timeframe LiquidityTimeframe Liquidity – Multi-Timeframe Highs & Lows by Timeframe Liquidity automatically plots previous day, week, month, and year highs and lows, key liquidity zones used by smart money and price-action traders. These levels extend into the future and can automatically stop once price wicks through, showing clear liquidity sweeps and tested zones. Perfect for traders using ICT / SMC concepts, liquidity theory, or market structure analysis. Instantly see where liquidity rests, where it’s been taken, and how price reacts at major support and resistance. Features: Auto-plots PDH/PDL, PWH/PWL, PMH/PML, PYH/PYL Custom line styles, colors, and label sizes Option to stop line on wick (liquidity sweep) Smart timeframe visibility (hides same-TF levels) Accurate UTC offset handling Identify liquidity pools fast, trade cleaner charts, and track where smart money hunts liquidity. Built for precision, clarity, and confluence.
Pine Script® göstergesi
archiedurrant tarafından
Volume Surprise [LuxAlgo]The Volume Surprise tool displays the trading volume alongside the expected volume at that time, allowing users to spot unexpected trading activity on the chart easily. The tool includes an extrapolation of the estimated volume for future periods, allowing forecasting future trading activity. 🔶 USAGE We define Volume Surprise as a situation where the actual trading volume deviates significantly from its expected value at a given time. Being able to determine if trading activity is higher or lower than expected allows us to precisely gauge the interest of market participants in specific trends. A histogram constructed from the difference between the volume and expected volume is provided to easily highlight the difference between the two and may be used as a standalone. The tool can also help quantify the impact of specific market events, such as news about an instrument. For example, an important announcement leading to volume below expectations might be a sign of market participants underestimating the impact of the announcement. Like in the example above, it is possible to observe cases where the volume significantly differs from the expected one, which might be interpreted as an anomaly leading to a correction. 🔹 Detecting Rare Trading Activity Expected volume is defined as the mean (or median if we want to limit the impact of outliers) of the volume grouped at a specific point in time. This value depends on grouping volume based on periods, which can be user-defined. However, it is possible to adjust the indicator to overestimate/underestimate expected volume, allowing for highlighting excessively high or low volume at specific times. In order to do this, select "Percentiles" as the summary method, and change the percentiles value to a value that is close to 100 (overestimate expected volume) or to 0 (underestimate expected volume). In the example above, we are only interested in detecting volume that is excessively high, we use the 95th percentile to do so, effectively highlighting when volume is higher than 95% of the volumes recorded at that time. 🔶 DETAILS 🔹 Choosing the Right Periods Our expected volume value depends on grouping volume based on periods, which can be user-defined. For example, if only the hourly period is selected, volumes are grouped by their respective hours. As such, to get the expected volume for the hour 7 PM, we collect and group the historical volumes that occurred at 7 PM and average them to get our expected value at that time. Users are not limited to selecting a single period, and can group volume using a combination of all the available periods. Do note that when on lower timeframes, only having higher periods will lead to less precise expected values. Enabling periods that are too low might prevent grouping. Finally, enabling a lot of periods will, on the other hand, lead to a lot of groups, preventing the ability to get effective expected values. In order to avoid changing periods by navigating across multiple timeframes, an "Auto Selection" setting is provided. 🔹 Group Length The length setting allows controlling the maximum size of a volume group. Using higher lengths will provide an expected value on more historical data, further highlighting recurring patterns. 🔹 Recommended Assets Obtaining the expected volume for a specific period (time of the day, day of the week, quarter, etc) is most effective when on assets showing higher signs of periodicity in their trading activity. This is visible on stocks, futures, and forex pairs, which tend to have a defined, recognizable interval with usually higher trading activity. Assets such as cryptocurrencies will usually not have a clearly defined periodic trading activity, which lowers the validity of forecasts produced by the tool, as well as any conclusions originating from the volume to expected volume comparisons. 🔶 SETTINGS Length: Maximum number of records in a volume group for a specific period. Older values are discarded. Smooth: Period of a SMA used to smooth volume. The smoothing affects the expected value. 🔹 Periods Auto Selection: Automatically choose a practical combination of periods based on the chart timeframe. Custom periods can be used if disabling "Auto Selection". Available periods include: - Minutes - Hours - Days (can be: Day of Week, Day of Month, Day of Year) - Months - Quarters 🔹 Summary Method: Method used to obtain the expected value. Options include Mean (default) or Percentile. Percentile: Percentile number used if "Method" is set to "Percentile". A value of 50 will effectively use a median for the expected value. 🔹 Forecast Forecast Window: Number of bars ahead for which the expected volume is predicted. Style: Style settings of the forecast.
Pine Script® göstergesi
LuxAlgo tarafından
8
Institutional Orderflow Pro — VWAP, Delta, and Liquidity Institutional Orderflow Pro is a next-generation order flow analysis indicator designed to help traders identify institutional participation, directional bias, and exhaustion zones in real time. Unlike traditional volume-based indicators, it merges VWAP dynamics, cumulative delta, relative volume, and liquidity proximity into a single unified dashboard that updates tick-by-tick — without repainting. The indicator is open-source, transparent, and educational. It aims to provide traders with a clearer read on who controls the market — buyers or sellers — and where liquidity lies. The indicator combines multiple institutional-grade analytics into one framework: RVOL (Relative Volume) = Compares current volume against the average of recent bars to identify strong institutional participation. zΔ (Delta Z-Score) = Normalizes the buying/selling delta to reveal unusually aggressive market behavior. CVDΔ (Cumulative Volume Delta Change) = Shows which side (buyers/sellers) is dominating this bar’s order flow. VWAP Direction & Slope = Determines whether price is trading above/below VWAP and whether VWAP is trending or flat. PD Distance (Prev Day Confluence) = Measures the current price’s distance from previous day’s high, low, close, and VWAP in ATR units — highlighting liquidity zones. ABS/EXH Detection = Identifies institutional absorption and exhaustion patterns where momentum may reverse. Bias Computation = Combines VWAP direction + slope to give a simplified regime signal: UP, DOWN, or FLAT. All metrics are displayed through a color-coded, non-repainting HUD: 🟢 = bullish / favorable conditions 🔴 = bearish / weak conditions ⚫ = neutral / flat 🟡 = absorption (potential trap zone) 🟠 = exhaustion (momentum fading) | Metric | Signal | Meaning | | ---------------------- | ------- | ---------------------------------------------- | | **RVOL ≥ 1.3** | 🟢 | High institutional activity — valid setup zone | | **zΔ ≥ 1.2 / ≤ -1.2** | 🟢 / 🔴 | Unusual buy/sell aggression | | **CVDΔ > 0** | 🟢 | Buyers dominate this bar | | **VWAP dir ↑ / ↓** | 🟢 / 🔴 | Institutional bias long/short | | **Slope ok = YES** | 🟢 | Trending market | | **PD dist ≤ 0.35 ATR** | 🟢 | Near key liquidity zones | | **Bias = UP/DOWN** | 🟢 / 🔴 | Trend-aligned environment | | **ABS/EXH active** | 🟡 / 🟠 | Caution — possible reversal zone | How to Use Confirm Volume Context → RVOL > 1.2 Align with Bias → Take longs only when Bias = UP, shorts only when Bias = DOWN. Check Slope and VWAP Dir → Ensure trending context (Slope = YES). Confirm CVD and zΔ → Flow should agree with price direction. Avoid ABS/EXH Triggers → These signal exhaustion or absorption by large players. Enter Near PD Zones → Ideal trade zones are within 0.35 ATR of prior-day levels. This multi-factor confirmation reduces noise and focuses only on high-probability institutional setups. Originality This script was written from scratch in Pine v6. It does not reuse existing public indicators except for standard built-ins (ta.vwap, ta.atr, etc.). The unique combination of delta z-scoring, VWAP slope filtering, and real-time confluence zones distinguishes it from typical orderflow tools or cumulative delta overlays. The core innovation is its merged real-time HUD that integrates institutional metrics and natural-language feedback directly on the chart, allowing traders to read market context intuitively rather than decode multiple subplots. Notes & Disclaimers This indicator does not repaint. It’s intended for educational and analytical purposes only — not as financial advice or a guaranteed signal system. Works best on liquid instruments (Futures, Indices, FX majors). Avoid non-standard chart types (Heikin Ashi, Renko, etc.) for accurate readings. Open-source, modifiable, and compatible with Pine v6. Recommended Use Apply it with clean charts and standard candles for the best clarity. Use alongside a basic structure or volume profile to contextualize institutional bias zones. Author: Dhawal Ranka Category - Orderflow / VWAP / Institutional Analysis Version: Pine Script™ v6 License: Open Source (Educational Use)
Pine Script® göstergesi
thewallranka tarafından
4
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® göstergesi
JoanJagan tarafından
ICT Anchored Market Structures with Validation [LuxAlgo]The ICT Anchored Market Structures with Validation indicator is an advanced iteration of the original Pure-Price-Action-Structures tool, designed for price action traders. It systematically tracks and validates key price action structures, distinguishing between true structural shifts/breaks and short-term sweeps to enhance trend and reversal analysis. The indicator automatically highlights structural points, confirms breakouts, identifies sweeps, and provides clear visual cues for short-term, intermediate-term, and long-term market structures. A distinctive feature of this indicator is its exclusive reliance on price patterns. It does not depend on any user-defined input, ensuring that its analysis remains robust, objective, and uninfluenced by user bias, making it an effective tool for understanding market dynamics. 🔶 USAGE Market structure is a cornerstone of price action analysis. This script automatically detects real-time market structures across short-term, intermediate-term, and long-term levels, simplifying trend analysis for traders. It assists in identifying both trend reversals and continuations with greater clarity. Market structure shifts and breaks help traders identify changes in trend direction. A shift signals a potential reversal, often occurring when a swing high or low is breached, suggesting a transition in trend. A break, on the other hand, confirms the continuation of an established trend, reinforcing the current direction. Recognizing these shifts and breaks allows traders to anticipate price movement with greater accuracy. It’s important to note that while a CHoCH may signal a potential trend reversal and a BoS suggests a continuation of the prevailing trend, neither guarantees a complete reversal or continuation. In some cases, CHoCH and BoS levels may act as liquidity zones or areas of consolidation rather than indicating a clear shift or continuation in market direction. The indicator’s validation component helps confirm whether the detected CHoCH and BoS are true breakouts or merely liquidity sweeps. 🔶 DETAILS 🔹 Market Structures Market structures are derived from price action analysis, focusing on identifying key levels and patterns in the market. Swing point detection, a fundamental concept in ICT trading methodologies and teachings, plays a central role in this approach. Swing points are automatically identified based exclusively on market movements, without requiring any user-defined input. 🔹 Utilizing Swing Points Swing points are not identified in real-time as they form. Short-term swing points may appear with a delay of up to one bar, while the identification of intermediate and long-term swing points is entirely dependent on subsequent market movements. Importantly, this detection process is not influenced by any user-defined input, relying solely on pure price action. As a result, swing points are generally not intended for real-time trading scenarios. Instead, traders often analyze historical swing points to understand market trends and identify potential entry and exit opportunities. By examining swing highs and lows, traders can: Recognize Trends: Swing highs and lows provide insight into trend direction. Higher swing highs and higher swing lows signify an uptrend, while lower swing highs and lower swing lows indicate a downtrend. Identify Support and Resistance Levels: Swing highs often act as resistance levels, referred to as Buyside Liquidity Levels in ICT terminology, while swing lows function as support levels, also known as Sellside Liquidity Levels. Traders can leverage these levels to plan their trade entries and exits. Spot Reversal Patterns: Swing points can form key reversal patterns, such as double tops or bottoms, head and shoulders, and triangles. Recognizing these patterns can indicate potential trend reversals, enabling traders to adjust their strategies effectively. Set Stop Loss and Take Profit Levels: In ICT teachings, swing levels represent price points with expected clusters of buy or sell orders. Traders can target these liquidity levels/pools for position accumulation or distribution, using swing points to define stop loss and take profit levels in their trades. Overall, swing points provide valuable information about market dynamics and can assist traders in making more informed trading decisions. 🔹 Logic of Validation The validation process in this script determines whether a detected market structure shift or break represents a confirmed breakout or a sweep. The breakout is confirmed when the close price is significantly outside the deviation range of the last detected structural price. This deviation range is defined by the 17-period Average True Range (ATR), which creates a buffer around the detected market structure shift or break. A sweep occurs when the price breaches the structural level within the deviation range but does not confirm a breakout. In this case, the label is updated to 'SWEEP.' A visual box is created to represent the price range where the breakout or sweep occurs. If the validation process continues, the box is updated. This box visually highlights the price range involved in a sweep, helping traders identify liquidity events on the chart. 🔶 SETTINGS The settings for Short-Term, Intermediate-Term, and Long-Term Structures are organized into groups, allowing users to customize swing points, market structures, and visual styles for each. 🔹 Structures Swings and Size: Enables or disables the display of swing highs and lows, assigns icons to represent the structures, and adjusts the size of the icons. Market Structures: Toggles the visibility of market structure lines. Market Structure Validation: Enable or disable validation to distinguish true breakouts from liquidity sweeps. Market Structure Labels: Displays or hides labels indicating the type of market structure. Line Style and Width: Allows customization of the style and width of the lines representing market structures. Swing and Line Colors: Provides options to adjust the colors of swing icons, market structure lines, and labels for better visualization. 🔶 RELATED SCRIPTS Pure-Price-Action-Structures. Market-Structures-(Intrabar).
Pine Script® göstergesi
LuxAlgo tarafından
11
FOREXSOM Session Boxes (Local Time) — Asian, London & New YorkFOREXSOM Session Boxes (Local Time) highlights the three major Forex sessions — Asian, London, and New York — using your chart’s local timezone automatically. This indicator helps traders visualize market structure, liquidity zones, and timing across global trading hours with accuracy and clarity. Key Features Automatically adjusts to your chart’s local timezone Highlights Asian, London, and New York sessions with clean color zones Works on all timeframes and asset classes Ideal for Smart Money Concepts (SMC), ICT, and price action strategies Helps identify range breakouts, session highs/lows, and liquidity grabs How It Works Each session box updates in real time to show the current range as the market develops. The boxes reset at the end of each session, making it easy to compare volatility and liquidity shifts between regions. Sessions (default times): Asian: 17:00 – 03:00 London: 02:00 – 11:00 New York: 07:00 – 16:00 How to Use Add the indicator to your chart. Ensure your chart timezone matches your local time in chart settings. Watch session ranges form and look for liquidity sweeps or breakouts between overlaps (London/New York). Created by FOREXSOM Empowering traders worldwide with precision-built tools for Smart Money and institutional trading education.
Pine Script® göstergesi
FOREXSOM tarafından
2
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® göstergesi
AlgoAlpha tarafından
45
Estimated Manipulation Movement Signal [AlgoPoint]Follow the Footprints of Whale Movements That Drive the Market Overview The market is not always driven by natural supply and demand. Large players—often called "whales" or institutions—can create artificial price movements to trigger stop-losses, induce panic or FOMO, and build their large positions at favorable prices. These events are known as "stop hunts" or "liquidity grabs." The EMMS indicator is a specialized tool designed to detect these specific moments of potential market manipulation. It does not follow trends in a traditional sense; instead, it identifies high-probability reversal points created by the calculated actions of Smart Money trapping other market participants. How It Works: The 3-Module Logic The indicator uses a multi-stage confirmation process to identify a potential stop hunt: 1. Anomaly Detection: The engine first scans the chart for "Anomaly Candles." These are candles with unusually high volume and a very long wick relative to their body. This combination signals a sudden, forceful, and potentially unnatural price push. 2. Liquidity Zone Detection: The indicator automatically identifies and tracks recent significant swing highs and lows. These levels are considered "Liquidity Zones" because they are areas where a large number of stop-loss orders are likely clustered. These are the "hunting grounds" for whales. 3. The Stop Hunt Signal: A final signal is generated only when these two events align in a specific sequence: An Anomaly Candle (high volume, long wick) spikes through a previously identified Liquidity Zone. The same candle then reverses, closing back inside the previous price range. This sequence confirms that the move was likely a "trap" designed to engineer liquidity, and a reversal in the opposite direction is now highly probable. How to Interpret & Use This Indicator BUY Signal: A BUY signal appears after a sharp price drop that pierces a recent swing low (taking out the stops of long positions) and then aggressively reverses to close higher. This suggests that Smart Money has absorbed the panic selling they just induced. The signal indicates a potential move UP. SELL Signal: A SELL signal appears after a sharp price spike that pierces a recent swing high (taking out the stops of short positions) and then aggressively reverses to close lower. This suggests that Smart Money has sold into the FOMO buying they just created. The signal indicates a potential move DOWN. This indicator is best used as a high-probability confirmation tool, ideally in conjunction with your understanding of the overall market trend and structure.
Pine Script® göstergesi
Iamalala tarafından
7
⚪ Liquidity Spike Marker Description: The Liquidity Spike Marker indicator helps to identify abnormal bursts of liquidity in the market. The logic is based on comparing the product of the volume by the minimum candle price (Volume × Low) with the threshold value set by the user. When the value exceeds the threshold, a white triangle appears under the candle, indicating a possible influx of liquidity. This can help traders pay attention to the key points where large participants may enter the market. Features: Displays a placemark (⚪ white triangle) when the threshold is exceeded. Configurable parameter Volume × Low Threshold. The ability to set an alert for automatic notification. A lightweight and minimalistic tool without unnecessary elements. Note: The indicator is not a trading recommendation. Use it in combination with your own trading system and other analysis methods.
Pine Script® göstergesi
Zdorman tarafından
VWAP + Range Breakout (Pre-Signal for Manual Entry)WHAT IT DOES This tool highlights potential breakout opportunities when price sweeps the previous day’s high or low and aligns with VWAP and short-term range levels. It provides both pre-signals (early warnings) and confirmed signals (breakout closed) so traders can prepare before momentum accelerates. Works on all timeframes and across markets (indices, forex, crypto). Especially useful during active London and New York sessions. --- KEY FEATURES Daily sweep logic: previous day high/low as liquidity reference VWAP with cumulative calculation Adjustable range breakout levels Optional SMA trend filter Session filter (London / NY trading hours) Pre-Signal markers (early alert before breakout) Confirmed LONG/SHORT signals after breakout close Alerts for Pre-Long, Pre-Short, and Confirmed entries --- HOW TO USE 1. Wait for price to sweep the previous day high/low. 2. Look for alignment with VWAP and the defined range breakout levels. 3. Use trend/session filters for higher accuracy. 4. Combine with your own risk management rules. --- SETTINGS TIPS Adjust range lookback for different timeframes (shorter for fast intraday, longer for higher timeframes). Enable/disable session filters depending on your market. Use SMA trend filter to stay aligned with higher-timeframe bias. --- WHO IT’S FOR Scalpers, intraday, and swing traders who want early signals when liquidity is taken and price is preparing for a breakout. --- NOTES For educational purposes only. No financial advice. This script is open-source; redistribution follows TradingView rules.
Pine Script® göstergesi
ChartEdgePro tarafından
1
Smart Money LITE — Daily Sweep → HQ Signals (VWAP • FVG • CHoCH) 🔗 PRO VERSION (VWAP + FVG + CHoCH — full confirmations, all timeframes): chartedgepro.gumroad.com/l/rmnbhw Daily liquidity sweep → confluence signals with VWAP, FVG & CHoCH. Works on all timeframes & markets (Indices, Forex, Crypto). WHAT IT DOES Smart Money LITE+ highlights high-quality LONG/SHORT signals only after daily liquidity is swept (previous day high/low) with confluence from VWAP, FVG and structure (BOS/CHoCH). Works on all timeframes and across markets: indices, forex, crypto. KEY FEATURES (Lite) • Daily sweep logic (PDH/PDL) + previous day zones • VWAP + deviation bands (optional) and proximity filter • 3-bar FVG boxes (visual) with adjustable extension • ATR/volatility filter, optional HTF trend filter • Anti-spam cooldown, clean LONG/SHORT labels • Alerts: HQ LONG / HQ SHORT HOW TO USE 1. Wait for price to sweep PDH/PDL → indicator opens “signal window”. 2. Look for confluence: VWAP touch/proximity + CHoCH or BOS in direction. 3. Enter with proper risk management (stop beyond swing/zone, partials). SETTINGS TIPS • Enable “Require VWAP Confluence?” for strictest setups. • Use “HTF Trend Filter?” to align with higher-timeframe EMA trend. • Adjust “After sweep (bars)” to define signal validity window. • FVGs are visual in Lite — advanced filtering and confirmation are in Pro. WHO IT'S FOR Scalpers, intraday, and swing traders looking for objective, visual signals based on liquidity sweeps and VWAP/FVG confluence. PRO VERSION (full confirmations) Adds advanced FVG/iFVG logic, more confluence filters, dynamic risk tools and extended alert packages — optimized for all timeframes. 👉 chartedgepro.gumroad.com/l/rmnbhw NOTES • For educational purposes only. No financial advice. • “Lite” is open-source; redistribution of code follows TradingView rules.
Pine Script® göstergesi
ChartEdgePro tarafından
Apex Edge – HTF Overlay Candles“Trade your 5m chart with the eyes of the 1H — Apex Edge brings higher-timeframe structure and liquidity sweeps directly onto your execution chart.” Apex Edge – HTF Overlay Candles The Apex Edge – HTF Overlay Candles indicator overlays higher-timeframe (HTF) candles directly onto your lower-timeframe chart. Instead of flipping between timeframes, you see HTF structure “breathe” live on your execution chart. What It Does • HTF Body Boxes → open/close zones drawn as semi-transparent rectangles. • HTF Wick Boxes → high/low extremes projected as envelopes around each body. • Midpoint Line → a dynamic equilibrium line that flips bias as price trades above or below. • Sweep Arrows → one-time markers showing the first liquidity raid at HTF highs or lows. Under the Hood This isn’t just a visual overlay — it’s engineered for accuracy and performance in PineScript. 1. HTF Data Retrieval • Uses request.security() to import open, high, low, close, time from any selected HTF. • lookahead=barmerge.lookahead_off ensures OHLC values update bar by bar as the HTF candle builds. • When the HTF bar closes, boxes and midpoint lock to historical values — matching the native HTF chart exactly. 2. Box Construction • Body box: built from HTF open → close. • Wick box: built from HTF high → low. • Boxes extend dynamically across each HTF period, updating in real time, then freeze at close. 3. Midpoint Logic • (htfOpen + htfClose) / 2 calculates intrabar midpoint. • Line drawn edge-to-edge across the active HTF body. • Style, width, color, and opacity are user-controlled. 4. Sweep Detection • Flags (sweepedHigh / sweepedLow) prevent clutter: only the first tap per side per HTF candle is marked. • Lower-timeframe price breaking the HTF high/low triggers the sweep arrow. • Arrows are offset above/below wick envelopes for clean visuals. 5. Customisation • Every layer (body, wick, midpoint, arrows) has independent color + opacity settings. • Arrow size, arrow color, and transparency are adjustable. • Default HTF = 1H (perfect for 5m/15m traders) but can be switched to 30m, 4H, Daily, etc. Why It’s Useful • HTF intent + LTF execution without chart hopping. • Liquidity mapping: see where liquidity is swept in real time. • Bias clarity: midpoint line defines HTF equilibrium. • Clean signals: only the first sweep prints — no spam. What Makes It Different Most MTF overlays just plot candles or single lines. This tool: • Splits body vs wick zones for institutional precision. • Updates live intrabar (no repainting). • Highlights liquidity sweeps clearly. • Built for readability and professional use — not another retail signal toy. Cheat-Sheet Playbook 1️⃣ Structure Bias • Above midpoint line = bullish intent. • Below midpoint line = bearish intent. • Chop around midpoint = no clear direction. 2️⃣ Liquidity Sweeps • ▲ Green up arrow below wick box = sell-side liquidity taken → watch for longs. • ▼ Red down arrow above wick box = buy-side liquidity taken → watch for shorts. • First sweep is the cleanest. 3️⃣ Trade Logic • Body box = where institutions transact. • Wick box = liquidity traps. • Midpoint = bias filter. • Best setups occur when sweep + midpoint flip align. 4️⃣ Example (5m + 1H Overlay) 1. ▲ Green up arrow prints below HTF wick. 2. Price reclaims the body box. 3. Midpoint flips to support. 4. Enter long → stop below sweep → targets = midpoint first, opposite wick second. In short: • Boxes = structure • Wicks = liquidity pools • Midpoint = bias line • Arrows = liquidity sweeps This is your SMC edge on one chart — HTF structure and liquidity fused directly into your execution timeframe.
Pine Script® göstergesi
ApexEdge tarafından