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Volume Average [UkutaLabs]█ OVERVIEW Volume Average is a simple yet powerful indicator designed to help traders quickly understand how current trading volume compares to its historical norm. By plotting an average volume line directly on the volume chart, this indicator makes it easy to identify periods of unusually high or low participation , which often precede or confirm meaningful price movements. Rather than focusing on raw volume alone, Volume Average provides essential context—helping traders distinguish between routine market activity and moments when volume truly matters. █ HOW IT WORKS The indicator calculates a moving average of volume over a user-defined period and displays it alongside standard volume bars. Volume above the average suggests increased market interest Volume below the average indicates reduced participation Sustained deviations from the average can highlight accumulation, distribution, or breakout conditions █ PRACTICAL USE CASES Confirming breakouts and breakdowns Identifying high-participation trend moves Spotting low-volume consolidations Filtering false price moves caused by weak volume █ SETTINGS Adjustable volume average length Works on all markets and timeframes Compatible with any trading style (scalping, day trading, swing trading) █ SUMMARY Volume Average is a clean, no-noise tool that helps traders focus on what matters most: when volume is truly significant . It pairs well with price action, support and resistance, and trend-based strategies.
อินดิเคเตอร์ Pine Script®
โดย UkutaLabs
Visual Trading ZonesVisual Trading Zones is a chart-based indicator designed to display clear and structured price zones using evenly spaced levels. The indicator automatically builds horizontal zones across the visible price range and helps traders visually identify potential areas of interest such as support, resistance, and reaction zones. Key Features Displays horizontal price zones with a fixed step Optional main levels and sub-levels inside each zone Clean and minimal visual presentation Works on any market and timeframe Fully customizable colors, line styles, and zone transparency No signals, no alerts — purely visual analysis tool How It Works Price zones are constructed using a user-defined step size. Each zone is visually highlighted, allowing traders to quickly see how price interacts with these areas over time. The indicator does not repaint and does not generate trading signals. It is intended to be used as a visual framework alongside any trading strategy. Recommended Use Identifying potential support and resistance zones Market structure and range analysis Confluence with price action, indicators, or volume tools ⚙️ Settings Overview Step — distance between price zones Step Unit — ticks or pips (for FX instruments) SubLevels — number of internal levels within each zone Show Zones / Lines / Prices — visual display options Range Bars — number of bars used to build zones Style Settings — colors, line styles, transparency
อินดิเคเตอร์ Pine Script®
โดย Benepamm
Intraday Context Authority (Liquidity & Time Filter)📌 Intraday Context Authority – Liquidity & Time Filter Most intraday losses do not come from bad indicators — they come from bad context. This indicator is a Tier-1 context engine designed to sit above your existing indicators and help answer one critical question: Is this a good place and time to trust intraday signals? 🔍 What this indicator does This tool does NOT generate buy or sell signals. Instead, it evaluates: Liquidity structure (range interaction, stop-hunts) Time structure (session phase, compression duration) And outputs one of three context states: ALLOW – Normal trading conditions RESTRICT – Elevated risk, caution advised HIGH RISK – Avoid trusting signals 🧠 Why use it Intraday markets are driven by: Liquidity collection before direction Time-dependent behavior False breakouts late in sessions This indicator helps: Avoid chasing late moves Identify stop-hunt environments Filter false breakouts Reduce low-quality trades ⚙️ How to use it Apply this indicator before momentum, trend, or volume tools Use it as a filter, not a trigger Best suited for intraday timeframes 🚫 What this indicator is NOT Not a strategy Not a signal generator Not a replacement for risk management
อินดิเคเตอร์ Pine Script®
โดย Market_Logic_India
Momentum Structure Regime Engine (MSRE)Momentum Structure Regime Engine (MSRE) Momentum Structure Regime Engine (MSRE) is a professional momentum-based analysis tool designed to help traders identify high-quality directional opportunities with clarity and discipline. The indicator is built on a three-layer momentum framework, where each layer serves a distinct role in market evaluation. 🔹 Structure Layer Identifies the dominant momentum bias and persistence, helping define whether bullish or bearish momentum is structurally in control. 🔹 Regime Layer Evaluates momentum quality by distinguishing between expansion, compression, and weakening phases. This helps filter out low-quality or choppy conditions. 🔹 Execution Layer Detects short-term momentum ignition aligned with structure and regime, highlighting actionable timing opportunities. 📊 Signal Types Strong Signals Indicate the first high-quality momentum opportunity within a new structural move. Elite Signals Appear selectively on the first meaningful pullback during an active momentum phase, offering refined entry opportunities. Signals are state-based and non-repetitive, designed to reduce clutter and avoid over-signaling. ✅ Key Characteristics Pure momentum-driven logic Leading (non-lagging) indicators Clean, minimal chart visuals Non-repainting signals Suitable for intraday and swing trading ⚠️ Disclaimer This indicator is provided for educational and analytical purposes only. It does not constitute financial advice. Trading involves risk, and users are solely responsible for their trading decisions.
อินดิเคเตอร์ Pine Script®
โดย Market_Logic_India
Volume Structure Regime Engine (VSRE)Volume Structure Regime Engine (VSRE) is a professional, volume-based market analysis tool designed to help traders identify high-quality directional opportunities with clarity and discipline. The indicator is built around a three-layer analytical framework, each serving a distinct purpose in the decision-making process: 🔹 Structure Layer Uses Anchored VWAP to determine directional bias and identify which side of the market is in control. This layer defines the broader context and filters out low-probability trades. 🔹 Regime Layer Analyzes volume-weighted participation to distinguish between expansion, compression, and distribution phases. This helps traders focus only on periods where meaningful activity is present. 🔹 Execution Layer Detects short-term volume acceleration aligned with structure and regime, highlighting moments of aggressive participation. 📊 Signal Types Strong Signals Appear once per structural move and indicate the first high-quality opportunity aligned with both structure and participation. Elite Signals Appear selectively on the first meaningful pullback within an active move, offering refined entry opportunities. Signals are state-based and non-repetitive, designed to reduce chart clutter and avoid signal overfitting. ✅ Key Features Volume-driven (no lagging price averages) Clean, minimal visuals Non-repainting logic Built-in signal throttling to reduce noise Suitable for discretionary trading across intraday and swing timeframes ⚠️ Disclaimer This indicator is intended for educational and analytical purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. Trading involves risk, and users are responsible for their own trading decisions.
อินดิเคเตอร์ Pine Script®
โดย Market_Logic_India
TRADING BITE Supply Demand Marker V2.1This Indicator Automatically identifies key supply and demand candles and highlights potential reversal zones. Integrated volume analysis validates market moves, helping traders make more informed entry and exit decisions. Perfect for spotting high-probability trades and understanding market structure at a glance. Features: Highlights Supply & Demand zones automatically Marks key reversal candles Volume-based validation for stronger signals Easy-to-read visual alerts for trading decisions Disclaimer / No Liability Notice: This indicator is provided for educational and informational purposes only. It does not guarantee profits or predict future market movements. Trading financial instruments involves substantial risk of loss, and you should only trade with money you can afford to lose. By using this indicator, you acknowledge that you assume full responsibility for any trading decisions made based on its signals. The developer accepts no liability for any losses, damages, or financial consequences that may result from using this tool. Always perform your own analysis and consider consulting a licensed financial advisor before making trading decisions. Past performance is not indicative of future results.
อินดิเคเตอร์ Pine Script®
โดย Trading_bite
Trend Regime JMA Bands (50-150-200)Trend Regime JMA Bands is a visual market-context indicator designed to help traders understand overall trend structure and short-term participation using adaptive Jurik Moving Average (JMA) bands. This script separates market behavior into two distinct layers: 🔹 Structure (Slow Band) Defines the dominant market regime using classic 50 / 150 / 200 moving-average relationships. Helps identify bullish, bearish, and transitional environments. Visual intensity adjusts based on market conditions for clarity. 🔹 Participation (Fast Band) Represents short-term price engagement aligned with the prevailing structure. Counter-trend momentum is intentionally filtered out. Designed to highlight participation only when aligned with the broader trend. A Choppiness Index (CHOP) calculation is used only to adjust visual confidence of the structural band. CHOP does not affect trend direction, regime state, or calculations. This indicator is intended for analysis and visual context only. It does not generate trade signals, entries, exits, predictions, or recommendations. ⚠️ DISCLAIMER SECTION (REQUIRED & SAFE) Add this as a separate paragraph in the description: Disclaimer This script is provided for educational and analytical purposes only.It is not financial advice. Trading involves risk, and past performance does not guarantee future results. The author assumes no responsibility for trading decisions made using this indicator.
อินดิเคเตอร์ Pine Script®
โดย Market_Logic_India
Cross-Market Regime Scanner [BOSWaves]Cross-Market Regime Scanner - Multi-Asset ADX Positioning with Correlation Network Visualization Overview Cross-Market Regime Scanner is a multi-asset regime monitoring system that maps directional strength and trend intensity across correlated instruments through ADX-based coordinate positioning, where asset locations dynamically reflect their current trending versus ranging state and bullish versus bearish bias. Instead of relying on isolated single-asset trend analysis or static correlation matrices, regime classification, spatial positioning, and intermarket relationship strength are determined through ADX directional movement calculation, percentile-normalized coordinate mapping, and rolling correlation network construction. This creates dynamic regime boundaries that reflect actual cross-market momentum patterns rather than arbitrary single-instrument levels - visualizing trending assets in right quadrants when ADX strength exceeds thresholds, positioning ranging assets in left quadrants during consolidation, and incorporating correlation web topology to reveal which instruments move together or diverge during regime transitions. Assets are therefore evaluated relative to ADX-derived regime coordinates and correlation network position rather than conventional isolated technical indicators. Conceptual Framework Cross-Market Regime Scanner is founded on the principle that meaningful market insights emerge from simultaneous multi-asset regime awareness rather than sequential single-instrument analysis. Traditional trend analysis examines assets individually using separate chart windows, which often obscures the broader cross-market regime structure and correlation patterns that drive coordinated moves. This framework replaces isolated-instrument logic with unified spatial positioning informed by actual ADX directional measurements and correlation relationships. Three core principles guide the design: Asset positioning should be determined by ADX-based regime coordinates that reflect trending versus ranging state and directional bias simultaneously. Spatial mapping must normalize ADX values to place assets within consistent quadrant boundaries regardless of instrument volatility characteristics. Correlation network visualization reveals which assets exhibit coordinated behavior versus divergent regime patterns during market transitions. This shifts regime analysis from isolated single-chart monitoring into unified multi-asset spatial awareness with correlation context. Theoretical Foundation The indicator combines ADX directional movement calculation, coordinate normalization methodology, quadrant-based regime classification, and rolling correlation network construction. A Wilder's smoothing implementation calculates ADX, +DI, and -DI for each monitored asset using True Range and directional movement components. The ADX value relative to a configurable threshold determines X-axis positioning (ranging versus trending), while the difference between +DI and -DI determines Y-axis positioning (bearish versus bullish). Coordinate normalization caps values within fixed boundaries for consistent quadrant placement. Pairwise correlation calculations over rolling windows populate a network graph where line thickness and opacity reflect correlation strength. Five internal systems operate in tandem: Multi-Asset ADX Engine : Computes smoothed ADX, +DI, and -DI values for up to 8 configurable instruments using Wilder's directional movement methodology. Coordinate Transformation System : Converts ADX strength and directional movement into normalized X/Y coordinates with threshold-relative scaling and boundary capping. Quadrant Classification Logic : Maps coordinate positions to four distinct regime states—Trending Bullish, Trending Bearish, Ranging Bullish, Ranging Bearish—with color-coded zones. Historical Trail Rendering : Maintains rolling position history for each asset, drawing gradient-faded trails that visualize recent regime trajectory and velocity. Correlation Network Calculator : Computes pairwise return correlations across all enabled assets, rendering weighted connection lines in circular web topology with strength-based styling. This design allows simultaneous cross-market regime awareness rather than reacting sequentially to individual instrument signals. How It Works Cross-Market Regime Scanner evaluates markets through a sequence of multi-asset spatial processes: Data Request Processing : Security function retrieves high, low, and close values for up to 8 configurable symbols with lookahead offset to ensure confirmed bar data. ADX Calculation Per Asset : True Range computed from high-low-close relationships, directional movement derived from up-moves versus down-moves, smoothed via Wilder's method over configurable period. Directional Index Derivation : +DI and -DI calculated as smoothed directional movement divided by smoothed True Range, scaled to percentage values. Coordinate Transformation : X-axis position equals (ADX - threshold) * 2, capped between -50 and +50; Y-axis position equals (+DI - -DI), capped between -50 and +50. Quadrant Assignment : Positive X indicates trending (ADX > threshold), negative X indicates ranging; positive Y indicates bullish (+DI > -DI), negative Y indicates bearish. Trail History Management : Configurable-length position history maintains recent coordinates for each asset, rendering gradient-faded lines connecting sequential positions. Velocity Vector Calculation : 7-bar coordinate change converted to directional arrow overlays showing regime momentum and trajectory. Return Correlation Processing : Bar-over-bar returns calculated for each asset, pairwise correlations computed over rolling window. Network Graph Construction : Assets positioned in circular topology, correlation lines drawn between pairs exceeding threshold with thickness/opacity scaled by correlation strength, positive correlations solid green, negative correlations dashed red. Risk Regime Scoring : Composite score aggregates bullish risk-on assets (equities, crypto, commodities) minus bullish risk-off assets (gold, dollar, VIX), generating overall market risk sentiment with colored candle overlay. Together, these elements form a continuously updating spatial regime framework anchored in multi-asset momentum reality and correlation structure. Interpretation Cross-Market Regime Scanner should be interpreted as unified spatial regime boundaries with correlation context: Top-Right Quadrant (TREND ▲) : Assets positioned here exhibit ADX above threshold with +DI exceeding -DI - confirmed bullish trending conditions with directional conviction. Bottom-Right Quadrant (TREND ▼) : Assets positioned here exhibit ADX above threshold with -DI exceeding +DI - confirmed bearish trending conditions with directional conviction. Top-Left Quadrant (RANGE ▲) : Assets positioned here exhibit ADX below threshold with +DI exceeding -DI - ranging consolidation with bullish bias but insufficient trend strength. Bottom-Left Quadrant (RANGE ▼) : Assets positioned here exhibit ADX below threshold with -DI exceeding +DI - ranging consolidation with bearish bias but insufficient trend strength. Position Trails : Gradient-faded lines connecting recent coordinate history reveal regime trajectory - curved paths indicate regime rotation, straight paths indicate sustained directional conviction. Velocity Arrows : Directional vectors overlaid on current positions show 7-bar regime momentum - arrow length indicates speed of regime change, angle indicates trajectory direction. Correlation Web : Circular network graph positioned left of main quadrant map displays pairwise asset relationships - solid green lines indicate positive correlation (moving together), dashed red lines indicate negative correlation (diverging moves), line thickness reflects correlation strength magnitude. Asset Dots : Multi-layer glow effects with color-coded markers identify each asset on both quadrant map and correlation web-symbol labels positioned adjacent to current location. Regime Summary Bar : Vertical boxes on right edge display condensed regime state for each enabled asset - box background color reflects quadrant classification, border color matches asset identifier. Risk Regime Candles : Overlay candles on price chart colored by composite risk score - green indicates risk-on dominance (bullish equities/crypto exceeding bullish safe-havens), red indicates risk-off dominance (bullish gold/dollar/VIX exceeding bullish risk assets), gray indicates neutral balance. Quadrant positioning, trail trajectory, correlation network topology, and velocity vectors outweigh isolated single-asset readings. Signal Logic & Visual Cues Cross-Market Regime Scanner presents spatial positioning insights rather than discrete entry signals: Regime Clustering : Multiple assets congregating in same quadrant suggests broad market regime consensus - all assets in TREND ▲ indicates coordinated bullish momentum across instruments. Regime Divergence : Assets splitting across opposing quadrants reveals intermarket disagreement - equities in TREND ▲ while safe-havens in TREND ▼ suggests healthy risk-on environment. Quadrant Transitions : Assets crossing quadrant boundaries mark regime shifts - movement from left (ranging) to right (trending) indicates breakout from consolidation into directional phase. Trail Curvature Patterns : Sharp curves in position trails signal rapid regime rotation, straight trails indicate sustained directional conviction, loops indicate regime uncertainty with back-and-forth oscillation. Velocity Acceleration : Long arrows indicate rapid regime change momentum, short arrows indicate stable regime persistence, arrow direction reveals whether asset moving toward trending or ranging state. Correlation Breakdown Events : Previously strong correlation lines (thick, opaque) suddenly thinning or disappearing indicates relationship decoupling - often precedes major regime transitions. Correlation Inversion Signals : Assets shifting from positive correlation (solid green) to negative correlation (dashed red) marks structural market regime change - historically correlated assets beginning to diverge. Risk Score Extremes : Composite score reaching maximum positive (all risk-on bullish, all risk-off bearish) or maximum negative (all risk-on bearish, all risk-off bullish) marks regime conviction extremes. The primary value lies in simultaneous multi-asset regime awareness and correlation pattern recognition rather than isolated timing signals. Strategy Integration Cross-Market Regime Scanner fits within macro-aware and intermarket analysis approaches: Regime-Filtered Entries : Use quadrant positioning as directional filter for primary trading instrument - favor long setups when asset in TREND ▲ quadrant, short setups in TREND ▼ quadrant. Correlation Confluence Trading : Enter positions when target asset and correlated instruments occupy same quadrant - multiple assets in TREND ▲ provides conviction for long exposure. Divergence-Based Reversal Anticipation : Monitor for regime divergence between correlated assets - if historically aligned instruments split to opposite quadrants, anticipate mean-reversion or regime rotation. Breakout Confirmation via Cross-Asset Validation : Confirm primary instrument breakouts by verifying correlated assets simultaneously transitioning from ranging to trending quadrants. Risk-On/Risk-Off Positioning : Use composite risk score and safe-haven positioning to determine overall market environment - scale risk exposure based on risk regime dominance. Velocity-Based Timing : Enter during periods of high regime velocity (long arrows) when momentum carries assets decisively into new quadrants, avoid entries during low velocity regime uncertainty. Multi-Timeframe Regime Alignment : Apply higher-timeframe regime scanner to establish macro context, use lower-timeframe price action for entry timing within aligned regime structure. Correlation Web Pattern Recognition : Identify regime transitions early by monitoring correlation network topology changes - previously disconnected assets forming strong correlations suggests regime coalescence. Technical Implementation Details Core Engine : Wilder's smoothing-based ADX calculation with separate True Range and directional movement tracking per asset Coordinate Model : Threshold-relative X-axis scaling (trending versus ranging) with directional movement differential Y-axis (bullish versus bearish) Normalization System : Boundary capping at ±50 for consistent spatial positioning regardless of instrument volatility Trail Rendering : Rolling array-based position history with gradient alpha decay and width tapering Correlation Engine : Return-based pairwise correlation calculation over rolling window with configurable lookback Network Visualization : Circular topology with trigonometric positioning, weighted line rendering based on correlation magnitude Risk Scoring : Composite calculation aggregating directional states across classified risk-on and risk-off asset categories Performance Profile : Optimized for 8 simultaneous security requests with efficient array management and conditional rendering Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Micro-regime monitoring for intraday correlation shifts and short-term regime rotations 15 - 60 min : Intraday regime structure with meaningful ADX development and correlation stability 4H - Daily : Swing and position-level macro regime identification with sustained trend classification Weekly - Monthly : Long-term regime cycle tracking with structural correlation pattern evolution Suggested Baseline Configuration: ADX Period : 14 ADX Smoothing : 14 Trend Threshold : 25.0 Trail Length : 15 Correlation Period : 50 Min |Correlation| to Show Line : 0.3 Web Radius : 30 Show Quadrant Colors : Enabled Show Regime Summary Bar : Enabled Show Velocity Arrows : Enabled Show Correlation Web : Enabled These suggested parameters should be used as a baseline; their effectiveness depends on the selected assets' volatility profiles, correlation characteristics, and preferred spatial sensitivity, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Assets clustering too tightly : Decrease Trend Threshold (e.g., 20) to spread ranging/trending separation, or increase ADX Period for smoother ADX calculation reducing noise. Assets spreading too widely : Increase Trend Threshold (e.g., 30-35) to demand stronger ADX confirmation before classifying as trending, tightening quadrant boundaries. Trail too short to show trajectory : Increase Trail Length (20-25) to visualize longer regime history, revealing sustained directional patterns. Trail too cluttered : Decrease Trail Length (8-12) for cleaner visualization focusing on recent regime state, reducing visual complexity. Unstable ADX readings : Increase ADX Period and ADX Smoothing (18-21) for heavier smoothing reducing bar-to-bar regime oscillation. Sluggish regime detection : Decrease ADX Period (10-12) for faster response to directional changes, accepting increased sensitivity to noise. Too many correlation lines : Increase Min |Correlation| threshold (0.4-0.6) to display only strongest relationships, decluttering network visualization. Missing significant correlations : Decrease Min |Correlation| threshold (0.2-0.25) to reveal weaker but potentially meaningful relationships. Correlation too volatile : Increase Correlation Period (75-100) for more stable correlation measurements, reducing network line flickering. Correlation too stale : Decrease Correlation Period (30-40) to emphasize recent correlation patterns, capturing regime-dependent relationship changes. Velocity arrows too sensitive : Modify 7-bar lookback in code to longer period (10-14) for smoother velocity representation, or increase magnitude threshold for arrow display. Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions. Performance Characteristics High Effectiveness: Macro-aware trading approaches requiring cross-market regime context for directional bias Intermarket analysis strategies monitoring correlation breakdowns and regime divergences Portfolio construction decisions requiring simultaneous multi-asset regime classification Risk management frameworks using safe-haven positioning and risk-on/risk-off scoring Trend-following systems benefiting from cross-asset regime confirmation before entry Mean-reversion strategies identifying regime extremes via clustering patterns and correlation stress Reduced Effectiveness: Single-asset focused strategies not incorporating cross-market context in decision logic High-frequency trading approaches where multi-security request latency impacts execution Markets with consistently weak correlations where network topology provides limited insight Extremely low volatility environments where ADX remains persistently below threshold for all assets Instruments with erratic or unreliable ADX characteristics producing unstable coordinate positioning Integration Guidelines Confluence : Combine with BOSWaves structure, volume analysis, or primary instrument technical indicators for entry timing within aligned regime Quadrant Respect : Trust signals occurring when primary trading asset occupies appropriate quadrant for intended trade direction Correlation Context : Prioritize setups where target asset exhibits strong correlation with instruments in same regime quadrant Divergence Awareness : Monitor for safe-haven assets moving opposite to risk assets - regime divergence validates directional conviction Velocity Confirmation : Favor entries during periods of strong regime velocity indicating decisive momentum rather than regime oscillation Risk Score Alignment : Scale position sizing and exposure based on composite risk score - larger positions during clear risk-on/risk-off environments Trail Pattern Recognition : Use trail curvature to identify regime stability (straight) versus rotation (curved) versus uncertainty (looped) Multi-Timeframe Structure : Apply higher-timeframe regime scanner for macro filter, lower-timeframe for tactical positioning within established regime Disclaimer Cross-Market Regime Scanner is a professional-grade multi-asset regime visualization and correlation analysis tool. It uses ADX-based coordinate positioning and rolling correlation calculation but does not predict future regime transitions or guarantee relationship persistence. Results depend on selected assets' characteristics, parameter configuration, correlation stability, and disciplined interpretation. Security request timing may introduce minor latency in real-time data retrieval. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, volume context, fundamental macro awareness, and comprehensive risk management.
อินดิเคเตอร์ Pine Script®
โดย BOSWaves
Market Structure & Supply-Demand EngineMarket Structure & Supply-Demand Engine (MSD-Engine) is a professional, non-repainting market structure and supply-demand analysis tool built purely on price action and volatility logic. This indicator is designed for discretionary traders who want a clean, institutional-style view of market structure without lagging indicators or strategy automation. 🔍 What This Indicator Does MSD-Engine identifies major structural reversals, plots price-action based supply & demand zones, and provides multi-timeframe confluence in a single, unified framework. It is visual and analytical only — no strategy orders, no backtesting, and no repainting. 🚀 Core Features • Non-Repainting Market Structure Event-based swing reversal detection ATR-adaptive displacement filtering Confirmed pivots only (no future leaks) • Pure Supply & Demand Zones Candle-structure based zone detection Volume-weighted zone strength Automatic invalidation on breach Configurable zone limits to maintain chart clarity • Multi-Timeframe Context (MTF) Chart timeframe structure Two independent higher-timeframe supply & demand layers Higher-timeframe directional bias visualization HTF zones plotted only on confirmed HTF closes • Volatility-Adaptive Logic ATR normalized across timeframes Dynamic reversal thresholds Stable behavior from scalping to swing charts • Trendline Lifecycle Tracking Automatic major trendline construction Single-fire break detection Break validation / failure logic HTF-aligned vs counter-trend classification 🧠 Designed For • Discretionary price-action traders • Supply & demand traders • Market structure & smart-money style analysis • Multi-timeframe confluence trading • Futures, indices, forex, crypto, and equities ⚠️ Important Notes This is NOT a strategy or auto-trading system No buy/sell signals or performance metrics No repainting (uses barmerge.lookahead_off) Educational & analytical use only 📜 Disclaimer This script is provided for educational and analytical purposes only. It does not constitute financial advice. Trading financial markets involves risk.
อินดิเคเตอร์ Pine Script®
โดย Market_Logic_India
3
[Saga Trading] Liquidation Leverages ProThis indicator is designed to provide context on leverage-related market risk, not trading signals. Its purpose is to help traders visualize price areas where leveraged positions become vulnerable due to increased exposure, rather than to predict forced events. By mapping zones where leverage sensitivity increases, the script highlights areas of potential instability, where price reactions may accelerate due to risk management constraints, margin pressure, or position adjustment. These zones do not imply direction and should not be interpreted as targets. Instead, they offer risk awareness, helping traders assess where market movement may become less stable or more reactive. This tool is intended as a contextual risk-mapping indicator, allowing traders to better evaluate exposure when price approaches leverage-sensitive areas. It does not provide buy or sell signals and should be used in conjunction with price action and market structure analysis.
อินดิเคเตอร์ Pine Script®
โดย KevSagaT
Quant Labs Edge Filter (Community Edition)A market-structure filter designed to identify when no real edge exists. Edge Filter evaluates price location relative to structure to define market posture — long bias, short bias, or stand aside. It does not generate trade signals and is intentionally designed to reduce overtrading. Clear Posture States Near Highs — Short Bias Near Lows — Long Bias No Edge — Stand Aside When edge is absent, patience is the strategy. Why It Stands Out Most indicators encourage action. Edge Filter encourages restraint. Its purpose is to protect capital, attention, and decision quality by filtering out low-quality environments. Community Edition This version publishes the core logic openly for transparency and education. Private access versions may exist for traders seeking continuity and stewardship. Bottom Line Trade less. Trade better. Wait for edge. — QuantLabs
อินดิเคเตอร์ Pine Script®
โดย CustomQuantLabs
RSI [Hash Capital Research]RSI is a visually enhanced momentum indicator built on the classic Relative Strength Index. This version expands RSI into a more flexible analytical tool through smoothing options, adaptive zone-based coloring, optional signal line overlays, and divergence detection. It is designed as a context-building indicator, not a standalone entry system. What This Indicator Does This script calculates a smoothed RSI using user-defined parameters and then provides multiple optional enhancements: 1. Adaptive RSI Visualization The core RSI is plotted with: Zone-based color changes (neutral, oversold, overbought) Optional glow effects to emphasize extreme conditions User-defined color intensity and midline visibility The goal is to provide clearer visual segmentation of trend strength and momentum behavior. 2. Custom Smoothing & Signal Line Options The indicator allows: Multi-layer smoothing for RSI stability An optional signal line using the trader’s preferred moving-average method (SMA, EMA, SMMA/RMA, WMA, VWMA) This helps operators examine whether momentum is accelerating or stabilizing relative to its mean. 3. Overbought/Oversold Tools User-defined thresholds determine: Highlighted zones Optional markers for extreme reversals (based on RSI + momentum + velocity criteria) Midline (50) cross highlights for trend-bias transitions These features help contextualize where the RSI sits relative to broader momentum regimes. 4. Divergence Detection (Optional) When enabled, the script scans for regular bullish and bearish divergences using pivot-based structure. It compares: Price making lower lows vs RSI making higher lows (bullish) Price making higher highs vs RSI making lower highs (bearish) Detected divergences are plotted on the RSI panel with visual labels. This detection uses pivot lookbacks and range limits defined by the user. 5. Alerts The indicator provides optional alerts for: Extreme reversals Overbought/oversold momentum shifts Midline (50) crossovers Bullish / bearish divergences Alerts are intended for monitoring, not for automated execution. How to Use It This RSI modification is intended to support broader analysis workflows, including: Identifying regime shifts using midline crosses Monitoring momentum structure across trend phases Highlighting oversold or overbought clustering Adding a visual signal line to interpret momentum smoothing Spotting divergence between price and RSI As with all indicators, this tool should be used as one component of a complete analysis framework. What Makes This Version Distinct This script maintains the core behavior of RSI but introduces: A multi-layer smoothing system Adaptive colors calibrated to oversold/neutral/overbought zones Optional glow visualizations A modular signal-line engine with multiple MA types Configurable divergence detection with visual labels Multiple marker placement modes for extreme conditions These features expand RSI’s readability while keeping its underlying logic transparent and consistent with common operator workflows. Important Notes This is an indicator, not a strategy. It does not execute trades or calculate performance metrics. The visual enhancements are designed to improve clarity, not to generate automated “buy” or “sell” systems. Divergence detection is optional because divergence is inherently contextual and may not apply equally across all markets or timeframes.
อินดิเคเตอร์ Pine Script®
โดย Hash_Capital
2
StO Price Action - Panel US Economy DataShort Summary - Displays selected us economic data as a time series graph - Economic indicator name shown in the upper-right corner - Designed as a lightweight fundamental context overlay Full Description Overview - Plots economic macro data as a continuous graph - Combines visual trend context with clear textual identification Supported Economic Data - CPI – Consumer Price Index - CIR – Core Inflation Rate (YoY) - IRYY – Inflation Rate (YoY) - IJC – Initial Jobless Claims - JC4W – Jobless Claims (4-Week Average) - NFP – Nonfarm Payrolls - UR – Unemployment Rate Graph Behavior - Selected economic series is rendered as a line graph - Graph color is user-configurable Label Display - Full descriptive name of the selected indicator - Fixed position in the upper-right corner Usage - Helps identify macro trends alongside price action - Useful for bias alignment on higher timeframes - Works well with Trend-following Systems or higher-timeframe structure analysis Notes - Economic data is informational and non-predictive - Not a signal or timing tool - Best used as contextual background not standalone input
อินดิเคเตอร์ Pine Script®
โดย sto_svc
DkS Market Structure Breakout Strategy Crypto & ForexDkS Market Structure Breakout Strategy Crypto & Forex 🔍 Overview DkSPro – Universal Market Analysis is a structure-based trading strategy designed for Crypto and Forex markets, focused on trend alignment, breakout confirmation, and volume validation. This strategy is built to filter low-quality trades, avoid ranging conditions, and reduce false breakouts by requiring multiple layers of confirmation before any trade is executed. It is intended for scalping and intraday trading, prioritizing consistency and risk control over trade frequency. 🧠 Strategy Logic (How It Works) DkSPro follows a sequential decision process, not a single-indicator signal: Trend Bias (EMA Structure) A fast and slow EMA define the directional bias. Long trades are only allowed during bullish EMA alignment. Short trades are only allowed during bearish EMA alignment. This prevents counter-trend and ranging-market entries. Market Structure & Breakout Validation The strategy identifies recent swing highs and lows. Trades are triggered only after a confirmed breakout of structure, not during consolidation. This avoids early entries and false momentum moves. Volume Confirmation Volume must exceed its moving average by a defined multiplier. This ensures participation and filters out low-liquidity breakouts. Volume thresholds adapt depending on the selected trading mode. Momentum Confirmation (RSI) RSI is used strictly as a momentum filter, not as a standalone signal. It confirms that price movement aligns with the breakout direction. Risk Management (Mandatory) Every position includes a predefined Stop Loss and Take Profit. Position sizing is based on a fixed percentage of equity, keeping risk per trade within sustainable limits. All conditions must align simultaneously; otherwise, no trade is executed. ⚙️ Trading Modes SAFE Mode Stronger volume and RSI thresholds Fewer trades, higher selectivity Designed for risk control and consistency AGGRESSIVE Mode Slightly relaxed filters Higher trade frequency during strong momentum Intended for experienced users only 📊 Markets & Assets This strategy has been actively used and tested on: 🟢 Crypto (Binance / Binance.US) SOL-USDT XRP-USDT Other high-liquidity pairs (BTC, ETH) Crypto mode benefits from stronger volume confirmation to adapt to higher volatility. 🔵 Forex Major pairs such as EURUSD, GBPUSD, USDJPY Optimized for liquid markets with lower relative volume The same structural logic applies to both markets, with volume behavior naturally adapting to each asset class. ⏱ Recommended Timeframes Crypto: 5m – 15m Forex: 15m – 1H Lower timeframes (1m) are not recommended due to noise and unreliable volume behavior. 🧪 Backtesting & Settings Transparency Default strategy properties are intentionally conservative to reflect realistic conditions: Initial capital: $20,000 Position size: 2% of equity Commission: 0.08% Slippage: 1 tick Fixed Stop Loss and Take Profit on every trade Backtests should be performed on sufficient historical data (ideally 6–12 months) to ensure a statistically meaningful sample size (100+ trades). 📈 Originality & Usefulness DkSPro is not a simple indicator mashup. Each component serves a specific role in a layered confirmation system: EMAs define direction Structure defines timing Volume validates participation RSI confirms momentum Risk management controls exposure Removing any layer significantly reduces signal quality. The strategy is designed as a complete decision framework, not a signal generator. ⚠️ Important Notes This script is an analysis and execution tool, not financial advice. Market conditions change, and no strategy performs well in all environments. Users are encouraged to backtest, forward test, and adjust position sizing according to their own risk tolerance. 🧩 Version Notice This publication represents a consolidated and refined version of an internal experimental script. No parallel or duplicate versions are intended. All future improvements will be released exclusively using TradingView’s Update feature. 🇪🇸 Descripción en Español (Resumen) DkSPro es una estrategia basada en estructura de mercado, diseñada para Crypto y Forex, que combina tendencia, ruptura de estructura, volumen y control de riesgo. Solo opera cuando todas las condiciones se alinean, evitando rangos, falsas rupturas y sobreoperar. Ha sido utilizada en Binance con pares como SOL-USDT y XRP-USDT, así como en Forex, siempre con gestión de riesgo fija y condiciones realistas.
กลยุทธ์ Pine Script®
โดย dksniewieders
Adaptive Momentum Contextdaptive Momentum Context (AMC) Adaptive Momentum Context (AMC) is a single-panel, overlay indicator designed to help traders read market context, momentum behavior, and volatility-driven rhythm in a structured and non-misleading way. This indicator does not aim to predict future price movements. Instead, it focuses on describing current market conditions using adaptive smoothing and higher-timeframe bias. Concept Overview AMC is built around three core ideas: Higher Timeframe Context (Bias) Adaptive Market Rhythm Momentum Behavior within Context These components are combined to provide a clearer view of when momentum aligns with the broader market structure. Higher Timeframe Bias The indicator retrieves price data from a user-selected higher timeframe and compares it to a moving average on that timeframe. When higher timeframe price is above its average, the background is shaded green. When it is below, the background is shaded red. This background does not generate signals. Its purpose is to define directional context and reduce decision-making against dominant market conditions. Adaptive Market Rhythm Instead of using a fixed-length moving average, AMC calculates an adaptive smoothing length based on relative volatility. When volatility expands, the smoothing period increases. When volatility contracts, the smoothing period shortens. Because Pine Script does not allow dynamic lengths in built-in moving averages, the adaptive line is calculated manually using a recursive EMA formula. This ensures: No repainting No future data access Full Pine Script v6 compliance The adaptive line represents the current market rhythm, not a trend guarantee. Momentum Behavior Momentum is derived from changes in the adaptive rhythm rather than raw price. Small visual markers appear when: Momentum accelerates in the direction of the higher timeframe bias Momentum decelerates against that bias These markers are contextual cues, not standalone trade signals. How to Use AMC is best used as a context and filtering tool, not as a mechanical entry system. Possible use cases: Filtering lower-timeframe entries Avoiding trades against higher-timeframe structure Visualizing momentum shifts during pullbacks or continuations Users are encouraged to combine this indicator with their own risk management and execution rules. Important Notes This indicator does not provide performance guarantees. Past behavior does not imply future results. No lookahead, no repainting, or non-standard chart types are used. Default settings are intended for general use and may require adjustment depending on market and timeframe.
อินดิเคเตอร์ Pine Script®
โดย aioncharts
Volume Channel Flow [ChartPrime]⯁ OVERVIEW — Volume Channel Flow The Volume Channel Flow indicator dynamically tracks evolving trend channels while simultaneously analyzing volume distribution within each channel segment. By combining adaptive volatility-based channel boundaries with real-time volume profiling, the tool highlights directional bias, structural breakouts, and zones where buy/sell pressure is concentrated. This makes it a powerful hybrid of a trend-tracking system and a miniature volume-profile engine that updates live as the market moves. ⯁ CONCEPTS Dynamic Volatility Channel: Upper and lower channel levels are continuously recalculated using ATR. These levels shift only when price breaks outside the previous channel, signaling a trend transition. Channel Segmentation: When a channel shift occurs, the previous segment is closed and visually plotted as its own range — allowing traders to inspect each discrete “flow phase” of the market. Embedded Volume Profile: Inside each channel segment, the indicator builds a mini volume histogram using user-defined binning. This creates a quick visual read of how volume was distributed within that price range. Point of Control (PoC): The price level with the highest traded volume inside each completed segment is detected and plotted as a dashed horizontal PoC line. Flow Bias (Bullish/Bearish): The volume profile color adapts depending on whether cumulative delta volume (buy minus sell pressure) is positive or negative for the segment. Breakout Labels: When a new channel is formed, arrows mark whether the breakout occurred upward or downward. ⯁ FEATURES Adaptive Trend Channel Construction Channels update only when price closes beyond upper or lower volatility thresholds. This isolates trend shifts with minimal noise. Channel Visualization Options Choose to display full channel boxes or only trend lines using customizable styling. Real-Time Volume Profiling As long as the channel remains active, volume distribution is recalculated live on every bar. PoC Projection The PoC is drawn across the channel range, marking the highest-volume price level for each segment. Directional Delta Coloring Volume profiles automatically shift to bullish or bearish colors based on cumulative delta inside the channel. Breakout Detection Arrows highlight each transition into a new channel regime. ⯁ HOW TO USE Spot trend changes using breakout arrows and the creation of new trend channels. Gauge strength of a channel by examining the density and shape of the internal volume profile. Use PoC levels as potential support/resistance interaction zones. Validate momentum by checking whether volume delta shows bullish or bearish dominance. Monitor channel edges to anticipate continuation or reversal setups. ⯁ CONCLUSION The Volume Channel Flow indicator merges trend structure with volume analytics, providing a continuously adaptive picture of market flow. It not only detects where trend phases begin and end, but also reveals what type of volume behavior shaped each segment, offering a deeper understanding of trend strength and directional pressure.
อินดิเคเตอร์ Pine Script®
โดย ChartPrime
15
The Strat - Multi-Timeframe Combo Analyzer## 📊 The Strat - Multi-Timeframe Combo Analyzer This open-source indicator implements **The Strat** methodology, a universal price action framework developed by Rob Smith (@RobInTheBlack). --- ### 🎯 What is The Strat? The Strat categorizes every candle into one of three scenarios based on its relationship to the previous bar: | Type | Name | Definition | |------|------|------------| | **1** | Inside Bar | High < Previous High AND Low > Previous Low | | **2** | Directional | Breaks only one side (2↑ = broke high, 2↓ = broke low) | | **3** | Outside Bar | Breaks BOTH previous high AND low | By tracking these bar types across timeframes, traders can identify actionable setups with defined entry triggers and target levels. --- ### ✨ Features **Daily Timeframe Analysis:** - Real-time 3-bar combo detection (2-1-2, 3-1-2, 1-2-2, etc.) - Pattern classification: Bullish/Bearish Continuation or Reversal - Entry and Target levels based on Strat rules - Pattern status: ACTIONABLE, IN-FORCE, TRIGGERED, or WATCHING **ATR Context:** - Range % used (how much of daily ATR has been consumed) - Entry quality assessment (Excellent → Exhausted) - Day type classification (Quiet → Trend Day) - Remaining range estimation **15-Minute Analysis:** - Separate combo tracking for intraday precision - Pattern detection on lower timeframe **Visuals:** - Customizable info tables - Entry/Target horizontal lines - Signal labels on chart - Alert conditions --- ### 🔧 How to Use 1. Look for **ACTIONABLE** patterns - these are setups waiting for a trigger 2. Entry triggers when price breaks the designated level 3. Target is the next logical Strat level (typically prior bar's high/low) 4. Use **Range%** to assess if there's room left in the daily range 5. Combine Daily and 15-Min combos for trade confluence --- ### ⚠️ Disclaimer This indicator is for **educational purposes only**. It does not constitute financial advice or guarantee profitable trades. Trading involves substantial risk of loss. Past performance is not indicative of future results. Always conduct your own research and trade responsibly. --- ### 🙏 Credits **The Strat** methodology was created by Rob Smith (@RobInTheBlack). This implementation is open-source. Feel free to study, modify, and improve the code!
อินดิเคเตอร์ Pine Script®
โดย StonkTrader4
3
Ultimate Major Contextual Dashboard (Multi-Asset)Overview : The Ultimate Major Dashboard is a performance-optimized market overview tool designed to provide a consolidated snapshot of the 7 major Forex pairs and Gold. It aggregates correlation, trend, momentum, and volatility data into a single, clean table, allowing users to view broader market context without switching charts. Technical Logic & Components : This indicator utilizes a modular function to analyze EURUSD, GBPUSD, USDJPY, USDCHF, AUDUSD, USDCAD, NZDUSD, and XAUUSD across four key dimensions: Intermarket Correlation (Pearson Coefficient): Uses ta.correlation() to compare each asset against the symbol currently on your main chart. Logic: Values above 0.7 (Dark Green) suggest a strong positive relationship, while values below -0.7 (Dark Red) suggest inverse behavior. This is calculated over a rolling 50-period window to balance stability with current market sensitivity. Trend Bias (EMA-200): Evaluates the long-term trend by checking price position relative to the 200-period Exponential Moving Average. Visuals: An upward arrow (⬆) indicates price is above the EMA; a downward arrow (⬇) indicates it is below. Momentum (RSI-14): Calculates the Relative Strength Index. The dashboard automatically highlights readings above 70 (OB) or below 30 (OS) to help identify potential momentum extremes. Volatility (ATR-14): Displays the Average True Range as a reference for the current active range of each market, helping users compare volatility levels across the majors. How to Interpret the Dashboard Asset Alignment: Correlation values help identify when pairs are moving in "unison" versus when a specific currency is diverging from the group. Directional Context: Combining the Trend (EMA) and Momentum (RSI) columns provides a quick view of whether a market is trending strongly or reaching an exhaustion point. Volatility Benchmarking: The ATR values offer perspective on which pairs are currently the most active, assisting in market comparison based on volatility preference. Data Handling & Customization Multi-Symbol Sync: Data is fetched using request.security(). The calculations are synchronized with the chart's current bar state for real-time accuracy. Dynamic TF: Users can select the analysis timeframe (60, 240, D, W) via the settings menu. Flexibility: The dashboard position can be toggled between all four corners of the chart to avoid overlapping with price action. Disclaimer This tool is provided for analytical and educational purposes only. It does not generate trading signals and should not be considered financial advice.
อินดิเคเตอร์ Pine Script®
โดย HTDFR
Institutional PointOverview Institutional Point is a sophisticated data-mining indicator designed to identify and track "institutional footprints" by isolating the single candle with the highest volume relative to a specific time anchor. Unlike traditional volume profiles that aggregate data into price bins, this script pinpoints the exact temporal origin of massive liquidity injections. Core Methodology The script operates on a multi-timeframe analysis engine (MTF). It scans sub-chart data (2-minute or 15-minute intervals) to find the absolute maximum volume peak within a defined period. Once the "Institutional Point" is identified: Source Identification: The origin candle is highlighted in white, signaling a high-conviction entry or exit by large-scale market participants. Zone Projection: A borderless "Institutional Zone" is projected forward from the spike’s high/low range. Dynamic Interaction: The zone remains active until the price revisits the area (mitigation) or until the time-based expiration is reached. Anchor Modes & Precision 8-Hour Cycle: Optimized for high-frequency scalping. Anchors reset at 00:00, 08:00, and 16:00. Utilizes ultra-precise 2-minute volume detection. Daily Session: Designed for intraday and swing traders. Anchors to the Daily Open. Utilizes 2-minute volume detection to isolate precise institutional orders. Weekly Cycle: Built for identifying major structural pivots. Anchors to the Weekly Open. Utilizes 15-minute volume detection for macro-liquidity analysis. Key Features Naked Level Tracking: Zones automatically stop extending the moment they are "hit" by price action, providing a clean visual of unmitigated liquidity. Anti-Noise Filter: Automatically excludes Saturday and Sunday data to maintain statistical integrity across global markets. Minimalist Interface: High-contrast visual design focused on scannability and professional chart aesthetics. Use Cases Data Science & Backtesting: Ideal for measuring the "Z-Score" or "Percentile Distance" from institutional peaks. Supply & Demand Trading: Automated identification of the "Origin of the Move." Magnet Analysis: Tracking "Naked" volume spikes as high-probability magnets for future price mean reversion.
อินดิเคเตอร์ Pine Script®
โดย AlchimistOfCrypto