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Chronos Reversal Labs🧬 Chronos Reversal Lab - Machine Learning Market Structure Analysis OVERVIEW Chronos Reversal Lab (CRL) is an advanced market structure analyzer that combines computational intelligence kernels with classical technical analysis to identify high-probability reversal opportunities. The system integrates Shannon Entropy analysis, Detrended Fluctuation Analysis (DFA), Kalman adaptive filtering, and harmonic pattern recognition into a unified confluence-based signal engine. WHAT MAKES IT ORIGINAL Unlike traditional reversal indicators that rely solely on oscillators or pattern recognition, CRL employs a multi-kernel machine learning approach that analyzes market behavior through information theory, statistical physics, and adaptive state-space estimation. The system combines these computational methods with geometric pattern analysis and market microstructure to create a comprehensive reversal detection framework. HOW IT WORKS (Technical Methodology) 1. COMPUTATIONAL KERNELS Shannon Entropy Analysis Measures market uncertainty using information theory: • Discretizes price returns into bins (user-configurable 5-20 bins) • Calculates probability distribution entropy over lookback window • Normalizes entropy to 0-1 scale (0 = perfectly predictable, 1 = random) • Low entropy states (< 0.3 default) indicate algorithmic clarity phases • When entropy drops, directional moves become statistically more probable Detrended Fluctuation Analysis (DFA) Statistical technique measuring long-range correlations: • Analyzes price series across multiple box sizes (4 to user-set maximum) • Calculates fluctuation scaling exponent (Alpha) • Alpha > 0.5: Trend persistence (momentum regime) • Alpha < 0.5: Mean reversion tendency (reversal regime) • Alpha range 0.3-1.5 mapped to trading strategies Kalman Adaptive Filter State-space estimation for lag-free trend tracking: • Maintains separate fast and slow Kalman filters • Process noise and measurement noise are user-configurable • Tracks price state with adaptive gain adjustments • Calculates acceleration (second derivative) for momentum detection • Provides cleaner trend signals than traditional moving averages 2. HARMONIC PATTERN DETECTION Identifies geometric reversal patterns: • Gartley: 0.618 AB/XA, 0.786 AD/XA retracement • Bat: 0.382-0.5 AB/XA, 0.886 AD/XA retracement • Butterfly: 0.786 AB/XA, 1.272-1.618 AD/XA extension • Cypher: 0.382-0.618 AB/XA, 0.786 AD/XA retracement Pattern Validation Process: • Requires alternating swing structure (XABCD points) • Fibonacci ratio tolerance: 0.02-0.20 (user-adjustable precision) • Minimum 50% ratio accuracy score required • PRZ (Potential Reversal Zone) calculated around D point • Zone size: ATR-based with pattern-specific multipliers • Active pattern tracking with 100-bar invalidation window 3. MARKET STRUCTURE ANALYSIS Swing Point Detection: • Pivot-based swing identification (3-21 bars configurable) • Minimum swing size: ATR multiples (0.5-5.0x) • Adaptive filtering: volatility regime adjustment (0.7-1.3x) • Swing confirmation tracking with RSI and volume context • Maintains structural history (up to 500 swings) Break of Structure (BOS): • Detects price crossing previous swing highs/lows • Used for trend continuation vs reversal classification • Optional requirement for signal validation Support/Resistance Detection: • Identifies horizontal levels from swing clusters • Touch counting algorithm (price within ATR×0.3 tolerance) • Weighted by recency and number of tests • Dynamic updating as structure evolves 4. CONFLUENCE SCORING SYSTEM Multi-factor analysis with regime-aware weighting: Hierarchical Kernel Logic: • Entropy gates advanced kernel activation • Only when entropy < threshold do DFA and Kalman accelerate scoring • Prevents false signals during chaotic (high entropy) conditions Scoring Components: ML Kernels (when entropy low): • Low entropy + trend alignment: +3.0 points × trend weight • DFA super-trend (α>1.5): +4.0 points × trend weight • DFA persistence (α>0.65): +2.5 points × trend weight • DFA mean-reversion (α<0.35): +2.0 points × mean-reversion weight • Kalman acceleration: up to +3.0 points (scaled by magnitude) Classical Technical Analysis: • RSI oversold (<30) / overbought (>70): +1.5 points • RSI divergence (bullish/bearish): +2.5 points • High relative volume (>1.5x): +0-2.0 points (scaled) • Volume impulse (>2.0x): +1.5 points • VWAP extremes: +1.0 point • Trend alignment (Kalman fast vs slow): +1.5 points • MACD crossover/momentum: +1.0 point Structural Factors: • Near support (within 0.5 ATR): +0-2.0 points (inverse distance) • Near resistance (within 0.5 ATR): +0-2.0 points (inverse distance) • Harmonic PRZ zone: +3.0 to +6.0 points (pattern score dependent) • Break of structure: +1.5 points Regime Adjustments: • Trend weight: 1.5× in trend regime, 0.5× in mean-reversion • Mean-reversion weight: 1.5× in MR regime, 0.5× in trend • Volatility multiplier: 0.7-1.3× based on ATR regime • Theory mode multiplier: 0.8× (Conservative) to 1.2× (APEX) Final Threshold: Base threshold (default 3.5) adjusted by: • Theory mode: -0.3 (APEX) to +0.8 (Conservative) • Regime: +0.5 (high vol) to -0.3 (low vol or strong trend) • Filter: +0.2 if regime filter enabled 5. SIGNAL GENERATION ARCHITECTURE Five-stage validation process: Stage 1 - ML Kernel Analysis: • Entropy threshold check • DFA regime classification • Kalman acceleration confirmation Stage 2 - Structural Confirmation: • Market structure supports directional bias • BOS alignment (if required) • Swing point validation Stage 3 - Trigger Validation: • Engulfing candle (if required) • HTF bias confirmation (if strict HTF enabled) • Harmonic PRZ alignment (if confirmation enabled) Stage 4 - Consistency Check: • Anticipation depth: checks N bars back (1-13 configurable) • Ensures Kalman acceleration direction persists • Filters whipsaw conditions Stage 5 - Structural Soundness (Critical Filter): • Verifies adequate room before next major swing level • Long signals: must have >0.25 ATR clearance to last swing high • Short signals: must have >0.25 ATR clearance to last swing low • Prevents trades directly into obvious structural barriers Dynamic Risk Management: • Stop-loss: Placed beyond last structural swing ± 2 ticks • Take-profit 1: Risk × configurable R1 multiplier (default 1.5R) • Take-profit 2: Risk × configurable R2 multiplier (default 3.0R) • Confidence score: Calibrated 0-99% based on confluence + kernel boost 6. ADAPTIVE REGIME SYSTEM Continuous market state monitoring: Trend Regime: • Kalman fast vs slow positioning • Multi-timeframe alignment (optional HTF) • Strength: ATR-normalized fast/slow spread Volatility Regime: • Current ATR vs 100-bar average • Regime ratio: 0.7-1.3 typical range • Affects swing size filtering and cooldown periods Signal Cooldown: • Base: User-set bars (1-300) • High volatility (>1.5): cooldown × 1.5 • Low volatility (<0.5): cooldown × 0.7 • Post-BOS: minimum 20-bar cooldown enforced FOUR OPERATIONAL MODES CONSERVATIVE MODE: • Threshold adjustment: +0.8 • Mode multiplier: 0.8× • Strictest filtering for highest quality • Recommended for: Beginners, large accounts, swing trading • Expected signals: 3-5 per week (typical volatile instrument) BALANCED MODE: • Threshold adjustment: +0.3 • Mode multiplier: 1.0× • Standard operational parameters • Recommended for: General trading, learning phase • Expected signals: 5-10 per week APEX MODE: • Threshold adjustment: -0.3 • Mode multiplier: 1.2× • Maximum sensitivity, reduced cooldowns • Recommended for: Scalping, high volatility, experienced traders • Expected signals: 10-20 per week INSTITUTIONAL MODE: • Threshold adjustment: +0.5 • Mode multiplier: 1.1× • Enhanced structural weighting, HTF emphasis • Recommended for: Professional traders, swing positions • Expected signals: 4-8 per week VISUAL COMPONENTS 1. Fibonacci Retracement Levels • Auto-calculated from most recent swing structure • Standard levels: 0%, 23.6%, 38.2%, 50%, 61.8%, 78.6%, 100%, 127.2%, 161.8%, 200%, 261.8% • Key levels emphasized (50%, 61.8%, 100%, 161.8%) • Color gradient from bullish to bearish based on level • Automatic cleanup when levels are crossed • Label intensity control (None/Fib only/All) 2. Support and Resistance Lines • Dynamic horizontal levels from swing clusters • Width: 2px solid lines • Colors: Green (support), Red (resistance) • Labels show price and level type • Touch-based validation (minimum 2 touches) • Real-time updates and invalidation 3. Harmonic PRZ Boxes • Displayed around pattern completion (D point) • Pattern-specific colors (Gartley: purple, Bat: orange, etc.) • Box height: ATR-based zone sizing • Score-dependent transparency • 100-bar active window before removal 4. Confluence Boxes • Appear when confluence ≥ threshold • Yellow/orange gradient based on score strength • Height: High to low of bar • Width: 1 bar on each side • Real-time score-based transparency 5. Kalman Filter Lines • Fast filter: Bullish color (green default) • Slow filter: Bearish color (red default) • Width: 2px • Transparency adjustable (0-90%) • Optional display toggle 6. Signal Markers • Long: Green triangle below bar (tiny size) • Short: Red triangle above bar (tiny size) • Appear only on confirmed signals • Includes alert generation 7. Premium Dashboard Features real-time metrics with visual gauges: Layout Options: • Position: 4 corners selectable • Size: Small (9 rows) / Normal (12 rows) / Large (14 rows) • Themes: Supreme, Cosmic, Vortex, Heritage Metrics Displayed: • Gamma (DFA - 0.5): Shows trend persistence vs mean-reversion • TCI (Trend Strength): ATR-normalized Kalman spread with gauge • v/c (Relative Volume): Current vs average with color coding • Entropy: Market predictability state with gauge • HFL (High-Frequency Line): Kalman fast/slow difference / ATR • HFL_acc (Acceleration): Second derivative momentum • Mem Bias: Net bullish-bearish confluence (-1 to +1) • Assurance: Confidence × (1-entropy) metric • Squeeze: Bollinger Band / Keltner Channel squeeze detection • Breakout P: Probability estimate from DFA + trend + acceleration • Score: Final confluence vs threshold (normalized) • Neighbors: Active harmonic patterns count • Signal Strength: Strong/Moderate/Weak classification • Signal Banner: Current directional bias with emoji indicators Gauge Visualization: • 10-bar horizontal gauges (█ filled, ░ empty) • Color-coded: Green (strong) / Gold (moderate) / Red (weak) • Real-time updates every bar HOW TO USE Step 1: Configure Mode and Resolution • Select Theory Mode based on trading style (Conservative/Balanced/APEX/Institutional) • Set Structural Resolution (Standard for fast markets, High for balanced, Ultra/Institutional for swing) • Enable Adaptive Filtering (recommended for all volatile assets) Step 2: Enable Desired Kernels • Shannon Entropy: Essential for predictability detection (recommended ON) • DFA Analysis: Critical for regime classification (recommended ON) • Kalman Filter: Provides lag-free trend tracking (recommended ON) • All three work synergistically; disabling reduces effectiveness Step 3: Configure Confluence Factors • Enable desired technical factors (RSI, MACD, Volume, Divergence) • Enable Liquidity Mapping for support/resistance proximity scoring • Enable Harmonic Detection if trading pattern-based setups • Adjust base confluence threshold (3.5 default; higher = fewer, cleaner signals) Step 4: Set Trigger Requirements • Require Engulfing: Adds precision, reduces frequency (recommended for Conservative) • Require BOS: Ensures structural alignment (recommended for trend-following) • Require Structural Soundness: Critical filter preventing traps (highly recommended) • Strict HTF Bias: For multi-timeframe traders only Step 5: Adjust Visual Preferences • Enable/disable Fibonacci levels, S/R lines, PRZ boxes, confluence boxes • Set label intensity (None/Fib/All) • Adjust transparency (0-90%) for overlay clarity • Configure dashboard position, size, and theme Step 6: Configure Alerts • Enable master alerts toggle • Select alert types: Anticipation, Confirmation, High Confluence, Low Entropy • Enable JSON details for automated trading integration Step 7: Interpret Signals • Wait for triangle markers (green up = long, red down = short) • Check dashboard for confluence score, entropy, DFA regime • Verify signal aligns with higher timeframe bias (if using HTF setting) • Confirm adequate space to take-profit levels (no nearby structural barriers) Step 8: Execute and Manage • Enter at close of signal candle (or next bar open) • Set stop-loss at calculated level (visible in alert if JSON enabled) • Scale out at TP1 (1.5R default), trail remaining to TP2 (3.0R default) • Exit early if entropy spikes >0.7 or DFA regime flips against position CUSTOMIZATION GUIDE Timeframe Optimization: Scalping (1-5 minutes): • Theory Mode: APEX • Anticipation Depth: 3-5 • Structural Resolution: STANDARD • Signal Cooldown: 8-12 bars • Enable fast kernels, disable HTF bias Day Trading (15m-1H): • Theory Mode: BALANCED • Anticipation Depth: 5-8 • Structural Resolution: HIGH • Signal Cooldown: 12-20 bars • Standard configuration Swing Trading (4H-Daily): • Theory Mode: INSTITUTIONAL • Anticipation Depth: 8-13 • Structural Resolution: ULTRA or INSTITUTIONAL • Signal Cooldown: 20-50 bars • Enable HTF bias, strict confirmations Market Type Optimization: Forex Majors: • All kernels enabled • Harmonic patterns effective • Balanced or Institutional mode • Standard settings work well Stock Indices: • Emphasis on volume analysis • DFA critical for regime detection • Conservative or Balanced mode • Enable liquidity mapping Cryptocurrencies: • Adaptive filtering essential • Higher volatility regime expected • APEX mode for active trading • Wider ATR multiples for swing sizing IMPORTANT DISCLAIMERS • This indicator does not predict future price movements • Computational kernels calculate probabilities, not certainties • Past confluence scores do not guarantee future signal performance • Always backtest on YOUR specific instruments and timeframes before live trading • Machine learning kernels require calibration period (minimum 100 bars of data) • Performance varies significantly across market conditions and regimes • Signals are suggestions for analysis, not automated trading instructions • Proper risk management (stops, position sizing) is mandatory • Complex calculations may impact performance on lower-end devices • Designed for liquid markets; avoid illiquid or gap-prone instruments PERFORMANCE CONSIDERATIONS Computational Intensity: • DFA analysis: Moderate (scales with length and box size parameters) • Entropy calculation: Moderate (scales with lookback and bins) • Kalman filtering: Low (efficient state-space updates) • Harmonic detection: Moderate to High (pattern matching across swing history) • Overall: Medium computational load Optimization Tips: • Reduce Structural Analysis Depth (144 default → 50-100 for faster performance) • Increase Calc Step (2 default → 3-4 for lighter load) • Reduce Pattern Analysis Depth (8 default → 3-5 if harmonics not primary focus) • Limit Draw Window (150 bars default prevents visual clutter on long charts) • Disable unused confluence factors to reduce calculations Best Suited For: • Liquid instruments: Major forex, stock indices, large-cap crypto • Active timeframes: 5-minute through daily (avoid tick/second charts) • Trending or ranging markets: Adapts to both via regime detection • Pattern traders: Harmonic integration adds geometric confluence • Multi-timeframe analysts: HTF bias and regime detection support this approach Not Recommended For: • Illiquid penny stocks or micro-cap altcoins • Markets with frequent gaps (stocks outside regular hours without gap adjustment) • Extremely fast timeframes (tick, second charts) due to calculation overhead • Pure mean-reversion systems (unless using CONSERVATIVE mode with DFA filters) METHODOLOGY NOTE The computational kernels (Shannon Entropy, DFA, Kalman Filter) are established statistical and signal processing techniques adapted for financial time series analysis. These are deterministic mathematical algorithms, not predictive AI models. The term "machine learning" refers to the adaptive, data-driven nature of the calculations, not neural networks or training processes. Confluence scoring is rule-based with regime-dependent weighting. The system does not "learn" from historical trades but adapts its sensitivity to current volatility and trend conditions through mathematical regime classification. SUPPORT & UPDATES • Questions about configuration or usage? Send me a message on TradingView • Feature requests are welcome for consideration in future updates • Bug reports appreciated and addressed promptly • I respond to messages within 24 hours • Regular updates included (improvements, optimizations, new features) FINAL REMINDERS • This is an analytical tool for confluence analysis, not a standalone trading system • Combine with your existing strategy, risk management, and market analysis • Start with paper trading to learn the system's behavior on your markets • Allow 50-100 signals minimum for performance evaluation • Adjust parameters based on YOUR timeframe, instrument, and trading style • No indicator guarantees profitable trades - proper risk management is essential — Dskyz, Trade with insight. Trade with anticipation.
Pine Script® indicator
by DskyzInvestments
4
PulseRPO Zero-Lag BandsPulseRPO is a momentum and volatility timing suite built on a zero-lag Relative Price Oscillator. It pairs an RPO (fast vs slow MA spread, in %) with adaptive volatility envelopes that tighten or widen as conditions change, so you can spot true momentum bursts, exhaustion and “quiet-before-the-move” squeezes—without the usual MA lag. What it shows Zero-Lag RPO: Choose EMA, SMA, WMA, RMA, HMA or ZLEMA for the base, then apply ZLEMA/DEMA/TEMA/HMA zero-lag smoothing to cut delay. Adaptive Bands: StdDev, ATR, Range or Hybrid volatility; bands auto-tighten in high vol and widen in quiet regimes. Dynamic OB/OS: Levels scale with current regime so extremes mean something even as volatility shifts. Signal & Histogram: Classic signal cross plus histogram for quick read of acceleration vs deceleration. Squeeze Paint: Subtle background highlight when band width compresses below its average. Divergences & Triggers: Optional bullish/bearish divergence tags, plus band-cross and signal-cross alerts out of the box. How to use it (general guide) Momentum entries: Look for RPO crossing up its signal from below or snapping out of a squeeze; extra weight if it also re-enters from below the lower band. Trend continuation: RPO riding outside the upper (or lower) band with rising histogram = power move; trail risk on pullbacks to the signal line. Exhaustion / fades: Taps beyond dynamic OB/OS or band re-entries can mark mean-revert windows—confirm with price/volume. Risk filter: During squeeze, size down and prepare for expansion; after expansion, respect extremes. Tweak the MA type, band method and zero-lag strength to match your timeframe. PulseRPO is designed to be a self-contained read: regime → setup → trigger → alert.
Pine Script® indicator
by andrew.gibbs777
Smart Liquidity Zones v1 — for Gold only and for Trump🚀 Smart Liquidity Zones v1 – Fixed Filters + Stable Zones + Safe Stop Designed exclusively for XAUUSD (Gold), this tool captures the true rhythm of liquidity hidden behind market volatility. Originally engineered for the Trump-era gold movements, this version blends precision filtering, adaptive volatility logic, and secure dynamic stop levels — giving traders a structured edge in chaos. 💡 Whether you're scalping micro swings or analyzing multi-hour trends, the algorithm visualizes where the market’s liquidity traps lie — and how price reacts once those levels are engaged. ⚙️ Key Features ✨ Adaptive zone recognition system (smart filtering logic). ✨ Safe Stop framework with dynamic ATR buffer. ✨ Multi-layer filtering using candle, ATR, and volume behavior. ✨ Visual clarity with zone strength gradient for better risk reading. ✨ Auto-clean memory system for stable long sessions. ⚠️ Note: This tool is built exclusively for Gold traders (XAUUSD). Optimized for 5m–1h charts. Works best during volatile sessions. 🧩 Settings Panel (Explained Without Revealing Logic) 🔹 Swing Length: Controls how far the algorithm looks back to detect potential liquidity pivots. (Higher = stronger zones, fewer signals.) 🔹 Extend To The Right: How long the zone extends into the future — perfect for visual planning. 🔹 Zone Height: Defines the visual range of each liquidity zone (recommended: 6.5 for Gold). 🔹 Min Distance Between Zones: Prevents overlapping or cluttered zones to keep the chart clean. 🔹 Filters (ATR / Candle / Volume): Three independent smart filters ensuring that only valid and powerful liquidity zones are drawn. 🔹 Dynamic Stop Buffer: Automatically adjusts your safe stop level based on volatility (ATR). 🔹 Safe Stop Colors: Customize visual clarity for stop levels — instantly spot your safety net. ⚡ Unique Concept Built for traders who understand that liquidity is the market’s heartbeat, and that true opportunity lies where stop hunts and smart money meet. 🟡 A smart visual system — 🔴 A safety layer for volatile times — 💰 And a nod to the wild gold markets during the Trump era. 📊 Recommended Use Pair it with clean price action & structure. Avoid indicator stacking — simplicity = power. Gold (XAUUSD) only — this algorithm is not calibrated for forex pairs or crypto. 🔹 Best Settings for Gold: Zone Height = 6.5 Swing Length = 10 Dynamic Stop Buffer = 0.5 ATR Filters ON (ATR + Candle + Volume)
Pine Script® indicator
by Estrliny07
Quantum Reservoir Computing⚛ Quantum Reservoir Computing - Multi-Scale Market Analysis OVERVIEW This indicator combines three structural analysis kernels (Energy, Resonance, Topology) with a 6-spin reservoir computing network to provide multi-dimensional market state monitoring. It is designed to detect structural shifts, coherence alignment, and potential entry timing through visual analytics and optional signal markers. WHAT MAKES IT ORIGINAL Unlike single-indicator approaches, QRC fuses complementary analysis methods and uses a reservoir computing layer (coupled oscillator network) to capture temporal market structure. The system uses entropy-compensated signal logic to maintain directional alignment across kernels with inverted mathematical properties. HOW IT WORKS (Technical Details) 1. ENERGY KERNEL Measures compression state through two components: • Entropy: Volatility-normalized return distribution, inverted (low volatility = high compression energy) • ATR Compression: Short-period ATR divided by longer-period baseline ATR • Final Energy: Weighted average of both components, ranging 0 to 1 2. RESONANCE KERNEL Calculates cross-timeframe coherence using: • 6 exponential moving averages (periods: 9, 14, 20, 30, 48, 84) • Slope calculation for each EMA • Amplitude weighting based on user-selected mode (Close/ATR/StDev) • Coherence Index (CI): Measures directional agreement across all timeframes • Mode Persistence: Stability of CI over 20 bars 3. TOPOLOGY KERNEL Analyzes path geometry through: • Turn density: Rate of price directional changes • Curvature: Second-order price differences normalized by ATR • Combined into a 0-1 topology change metric 4. RESERVOIR COMPUTING (6-Spin Network) Six coupled state variables (spins) arranged in a ring topology: • Drive signal combines directional consensus, price z-score, volume, and ATR regime • Each spin updates via hyperbolic tangent activation with neighbor coupling • Psi (Ψ): Coherence measure (average pairwise spin correlation) • Spin Direction: Signed average of all spins • Pulse detection: Positive changes in Ψ, z-scored to detect energy releases 5. FUSION & SCORING • Magnitude: Weighted combination of all kernels (0 to 1 scale) • Direction: Blend of EMA slope consensus, basis slope, and spin direction (-1 to 1) • ScoreSigned: Direction multiplied by Magnitude (drives visuals) • GateScore: Amplified score used only for signal threshold checks • Heat: Entanglement measure combining Ψ, CI, and Magnitude SIGNAL LOGIC (Important: Entropy-Compensated Inversion) Because the entropy kernel naturally inverts (low volatility = bullish compression), signal logic compensates to maintain directional alignment: • LONG signals fire when GateScore crosses below the short threshold (bearish GateScore + bullish structure) • SHORT signals fire when GateScore crosses above the long threshold (bullish GateScore + bearish structure) This inversion has been visually validated through metric plotting and maintains correct alignment with Resonance and Topology kernels. Signal gates require: • Two-of-three pass: CI ≥ minimum, Mode Persistence ≥ minimum, Ψ ≥ minimum • Heat ≥ minimum threshold • OR recent pulse window active (ΔΨ edge within N bars) • Minimum bar spacing between signals (prevents clustering) VISUAL COMPONENTS 1. Contained Ribbon (Recommended Mode) • Center line: Basis EMA • Edge: Positioned by ScoreSigned value • Fill color: Green (bullish) or Red (bearish) • Width: ATR-adaptive with configurable floor/ceiling 2. Quantum Aurora (Multi-Layer Energy Bands) • 5-8 harmonic layers with phase-driven oscillations • Colors shift with Heat level (cool blue at low Heat, warm orange/magenta at high Heat) • Creates visual texture that reflects market state dynamics 3. Interference Mesh • Subtle oscillating overlay modulated by CI and ScoreSigned • Provides depth perception without visual clutter 4. Resonance Cloud • Width proportional to Coherence Index • Wide cloud = strong cross-timeframe alignment • Narrow cloud = weak structural coherence 5. Energy Particles • Floating micro-dots with density mapped to Magnitude • Color-coded by Heat level (gold/cyan/gray) • Provides continuous conviction feedback 6. Regime Atmosphere • Background tint indicating market mode: - Green: Coherent trend (CI>0.65, Ψ>0.55) - Red: Choppy regime (CI<0.45, Ψ<0.40) - Purple: Transition state DASHBOARDS 1. Main Dashboard (Moveable, Resizable) • Regime indicator with color-coded status • Horizontal meter gauges for Ψ, CI, Heat, Magnitude • Signal strength bars for Score and Gate • Status indicators (dots) for ΔΨ, Heat, CI health • Directional arrows and bars-since-signal counter • Size options: Tiny, Small, Normal, Large • Position: All four corners available 2. Heat HUD (Entanglement Matrix) • Multi-row gradient display of last N bars (configurable 10-120) • Metrics: Heat, Psi, CI, Magnitude, Pulse Z-score, Gate proximity • Color-coded blocks show metric intensity over time • Live footer with current values • Resizable and moveable HOW TO USE Step 1: Monitor Regime and Structure • Check Dashboard regime indicator (Trend/Chop/Transition) • Observe Aurora flow (smooth = stable, erratic = unstable) • Wide Resonance Cloud indicates strong multi-timeframe alignment Step 2: Watch Entanglement Heat • Heat HUD shows persistent structure as amber/red runs • Green status dots indicate healthy metrics • Rising Heat + rising Ψ suggests mode-locking Step 3: Confirm Gate Conditions • Dashboard displays effective thresholds (dynamically relaxed after dry periods) • Two-of-three gate (CI/ModePersistence/Ψ) must pass OR recent pulse active • Strength bars show conviction level Step 4: Interpret Signals • Enable "Show Diagnostic Plots" to verify metric behavior on your symbols • Signals appear as tiny triangles (green below bars = long, red above = short) • Best confluence: Heat rising + fresh pulse cluster + strong CI Step 5: Risk Management • Place stops beyond opposite ribbon edge plus 0.5 ATR buffer • Trail stops following basis ± ATR fraction while Heat/Psi remain elevated • Exit early if CI or Ψ collapse (status dots turn yellow/red) CUSTOMIZATION Extensive settings available: • Core: EMA length, ATR length, pulse thresholds, heat minimum • Signals: Mode (Aggressive/Normal/Conservative), thresholds, spacing, gain • Visuals: Ribbon mode, Aurora layers, particle density, all show/hide toggles • Dashboards: Size, position for both main dashboard and heat HUD • Diagnostics: Optional metric plots for validation IMPORTANT DISCLAIMERS • This indicator does not predict future price movements • Signals use entropy-compensated inversion (explained above); verify on your symbols • Always backtest on your specific markets and timeframes before live trading • Past performance does not guarantee future results • Heavy visuals may impact performance on lower-end devices (use Performance toggles) • Designed for liquid markets (major indices, forex, crypto); may underperform on illiquid symbols • Complex system with learning curve; read full guide embedded in code DIAGNOSTIC MODE Enable "Show Diagnostic Plots" in settings to verify metric behavior: • Heat, Psi, CI, Magnitude plotted in lower pane • ScoreSigned and GateScore normalized to 0-1 scale • Reference lines at 0.25, 0.5, 0.75 for threshold context • Observe metric alignment with price action on YOUR symbols METHODOLOGY NOTE The "Quantum" terminology refers to the reservoir computing methodology (coupled oscillator network), not actual quantum mechanics. The 6-spin network uses hyperbolic tangent activation functions to model temporal market structure. This is a deterministic mathematical model, not a quantum computing system. BEST SUITED FOR • Liquid markets: Major indices (ES, NQ), forex majors (EUR/USD, GBP/USD), large-cap crypto (BTC, ETH) • Timeframes: 5-minute through daily (works on all, but designed for intraday to swing) • Trading styles: Structure-based entries, multi-timeframe confluence, visual state monitoring • Experience level: Intermediate to advanced (complex system with learning curve) PERFORMANCE CONSIDERATIONS • Heavy calculations (6 spins, 6 EMAs, Aurora layers, particles) may lag on lower-end devices • Use "Dashboard Size: Tiny" and reduce "Aurora Layers" to 2-3 for better performance • Consider disabling "Energy Particles" on mobile devices • Script is optimized with array capping and label recycling, but complexity remains high SUPPORT & UPDATES • Questions about usage or settings? Send me a message - I respond within 24 hours • Feature requests are welcome for consideration in future updates • Bug reports appreciated and addressed promptly • Script will be maintained and updated as needed FINAL REMINDERS • This is an analytical tool, not a trading system • Always backtest on YOUR symbols and timeframes before live use • Use proper risk management - stops, position sizing, etc. • Past performance does not guarantee future results • Start with demo/paper trading to learn the system — Dskyz, Trade with insight. Trade with anticipation.
Pine Script® indicator
by DskyzInvestments
4
Tether USDT DominanceThis indicator displays Tether (USDT) dominance as a MACD-style oscillator, using data from the CRYPTOCAP:USDT.D symbol. It includes: MACD Line: Blue line showing the difference between fast and slow EMAs (default periods: 12/26). Signal Line: Orange line as the SMA of the MACD (default period: 9). Histogram: Columns with fading transparency—full color (green for positive, red for negative) when bars grow, semi-transparent when they shrink, indicating momentum changes. Zero Line: Dotted gray line for reference. Users can customize EMA and signal periods in the settings. Add to the bottom panel for crypto market analysis, where falling USDT dominance often signals altcoin rallies. Data fetched via TradingView's built-in security function. No alerts or trading signals included.
Pine Script® indicator
by iCD_creator
CENDERE ALLTIMEWhat is CENDERE ALLTIME? CENDERE ALLTIME is a sophisticated moving average crossover trading indicator that helps you identify buy and sell opportunities in the market. It compares two moving averages (fast and slow) and generates signals when they cross each other. Key Features ✅ Flexible MA Selection - Choose from 8 different moving average types ✅ Automatic Backtesting - Test your strategy on historical data ✅ Signal Labels - Visual buy/sell signals with profit/loss percentages ✅ Optimization Engine - Finds the best MA combinations automatically ✅ Dual Statistics - View performance for both backtest period and all-time data How It Works The Strategy Logic BUY Signal (Entry): Triggers when the Fast MA crosses ABOVE the Slow MA Entry price: Closing price of the signal candle A blue label appears showing the entry price SELL Signal (Exit): Triggers when the Fast MA crosses BELOW the Slow MA Exit price: Opening price of the signal candle A green/red label appears showing exit price and profit/loss percentage Settings Overview 1. MA Settings Fast MA (Green Line by default) Type: Choose from SMA, EMA, WMA, VWMA, RMA, HMA, DEMA, ALMA Length: 10-100 bars (default: 20) Color: Customizable Slow MA (Red Line by default) Type: Choose from SMA, EMA, WMA, VWMA, RMA, HMA, DEMA, ALMA Length: 10-100 bars (default: 30) Color: Customizable 💡 Tip: Fast MA should always be shorter than Slow MA for proper crossover signals. 2. Backtest Settings Initial Capital: Starting amount for simulation (default: $1000) Backtest Bar Count: Number of recent bars to test (default: 500) 3. Display Settings Show MA Lines: Toggle visibility of moving average lines Show Buy/Sell Signals: Toggle signal markers on chart Show Optimization Table: Display best MA combinations Show Labels: Toggle buy/sell price labels with P&L 4. Line Customization Line Width: 1-5 pixels thickness Line Style: Solid, Dashed, or Dotted Reading the Signals Buy Signal (Blue Label) Example: 45.3 Appears below the candle Shows the entry price (closing price) Enter long position at this price Sell Signal (Green/Red Label) Example: 48.7 +7.52% Appears above the candle Top number: Exit price (opening price) Bottom number: Profit/loss percentage Green = Profit | Red = Loss Understanding Statistics The indicator tracks two sets of statistics: Current Backtest Period Tests only the last X bars (defined in settings) Resets when you change the backtest period Useful for recent performance analysis All-Time Statistics Tests from the beginning of available data Never resets Shows overall strategy performance Key Metrics: Total Return %: Overall profit/loss percentage Win Rate: Percentage of profitable trades Number of Trades: Total completed trades Final Capital: Ending balance after all trades Average Duration: Average bars held per trade Optimization Feature The indicator automatically tests 45 different MA combinations and ranks them by performance. Tested Combinations: Fast MA: 10, 20, 30, 40, 50, 60, 70, 80, 90 Slow MA: 20, 30, 40, 50, 60, 70, 80, 90, 100 Only valid pairs where Fast < Slow How to Use: Enable "Show Optimization Table" in settings View the table showing top-performing combinations Note the best Fast/Slow MA lengths Manually adjust your MA settings to match the optimal values Best Practices For Beginners Start with default settings (20/30 SMA) Test on 500 bars to see recent performance Look for combinations with high win rate (>50%) Prefer strategies with reasonable trade frequency (not too many/few) For Advanced Users Experiment with different MA types (EMA for faster response, SMA for smoothness) Test various timeframes (4H, 1D, 1W) Combine with other indicators for confirmation Consider market conditions (trending vs ranging) Risk Management Tips ⚠️ Always use stop-losses (indicator doesn't include stops) ⚠️ Past performance doesn't guarantee future results ⚠️ Verify signals with volume and price action ⚠️ Start with small position sizes when live trading Common MA Types Explained TypeDescriptionBest ForSMASimple Moving AverageSmooth, reliable, general useEMAExponential MAFaster response, trending marketsWMAWeighted MARecent price emphasisVWMAVolume-Weighted MAVolume-based tradingRMARSI Moving AverageSmoothing volatilityHMAHull MAVery fast, reduced lagDEMADouble Exponential MAReduced lag, fast signalsALMAArnaud Legoux MASmooth with low lag Troubleshooting Problem: No signals appearing Check if Fast MA < Slow MA in length Increase backtest bar count Verify indicator is applied correctly Problem: Too many signals Increase MA lengths (less sensitivity) Try slower MA types (SMA instead of EMA) Switch to higher timeframe Problem: Labels overlapping Reduce zoom level Disable labels and use signal markers only Adjust line width to make chart cleaner
Pine Script® indicator
by aliceryan
SerenitySerenity: Find Serenity in Market Chaos Every trader starts somewhere, often diving headfirst into the markets with charts cluttered by layers of lines, oscillators, and signals. It's easy to get caught up testing one approach after another—adding more tools, tweaking strategies, chasing the latest idea that promises clarity. The cycle repeats: overload the setup, second-guess every move, switch things up when results don't click right away. Over time, it becomes clear that jumping between setups rarely builds the consistency needed to navigate the ups and downs. That's where the idea for Serenity came from—a way to step back from the noise and focus on a structured approach that encourages sticking to a plan and building consistency. Built on the philosophy that no single perspective captures the full picture, Serenity offers two complementary views—Skye and Shade—to provide a more rounded interpretation of the market. Serenity’s logic builds on core market concepts—trend, momentum, and volume—combining them through carefully structured conditions that work across multiple timeframes. By focusing on where these elements align, it highlights key moments in the market while filtering out noise, providing clear and meaningful visual cues for analysis. Skye focuses on faster-moving trends and momentum shifts, highlighting potential opportunities with a riskier, more agile approach. Shade takes a more conservative stance, emphasizing broader confirmations through volume and market structure. By integrating multiple timeframes and carefully crafted conditions, Serenity identifies key moments where price action, momentum, and market strength converge. Whether you're a scalper chasing quick moves, a day trader riding intraday waves, or a swing trader eyeing longer trends, Serenity adapts to any trading style, offering a flexible lens for both risk-tolerant and cautious approaches. Used together, Skye and Shade create a balanced view, filtering out distractions without overcomplicating the chart. Even with its structure, Serenity remains a framework for interpretation—built on trend, momentum, and volume concepts that distill complex market movement into clear, visual markers like color shifts or highlighted zones. It’s a tool to see through the chaos, not a definitive answer. Understanding Serenity’s Two Perspectives Serenity is built around two complementary perspectives—Skye and Shade—each designed to interpret market behavior through a distinct lens. While they share the same foundation of trend, momentum, and volume analysis, they differ in speed, sensitivity, and purpose. Skye Skye focuses on the faster side of market behavior. It reacts quickly to changes in trend and momentum, making it well-suited for traders who prefer agility and earlier entries. Skye thrives in environments where price moves sharply and timing matters. Its logic leans on short-term structure shifts, refined momentum cues, and cross-timeframe alignment to highlight areas where strength is building or fading. The perspective is intentionally more responsive—capturing movement before it’s fully confirmed, at the cost of increased sensitivity. Shade Shade takes a steadier, more measured approach. Where Skye seeks opportunity in early momentum, Shade looks for confirmation—aligning trend, volume, and structure to reinforce conviction. It filters out minor fluctuations to focus on broader conditions, offering a cleaner perspective on established direction and underlying market strength. This makes it particularly suited for traders who value confirmation over speed—day traders looking for solid follow-through or swing traders aiming for consistency across larger moves. Serenity’s Reversal Signals In addition to its dual perspectives, Serenity provides two signal markers designed to highlight potential reversal areas: Twilight Reversal Twilight draws attention to areas where upward momentum might begin to build. It serves as a visual cue for zones where buying interest could be forming, helping you focus on potential opportunities for a positive shift in market behavior. Eclipse Reversal Eclipse highlights areas where downward pressure may be emerging. It marks zones where sellers could be gaining influence, guiding your attention to potential points where market strength may start to wane. Together, these signals act as complementary tools to Skye and Shade, helping you interpret the market by showing areas where momentum could be shifting, all while keeping the chart clean and structured.
Pine Script® indicator
by SerenityLabs
CVD Divergence + Volume MarkerHere is a Pine Script concept to mark candlestick chart candles when cumulative delta is divergent to price action and volume is above average. Cumulative delta divergence typically occurs when the price forms new highs/lows while cumulative delta forms lower highs/lows (or vice versa). The script should include a marker only when this divergence occurs alongside above-average volume, increasing signal strength and filtering out weak setups.​ Coding Concept Calculate cumulative delta (approximation using price and volume if true bid/ask volume is unavailable, e.g., on spot). Calculate moving average of volume. Detect bullish divergence (price makes lower low, cumulative delta makes higher low) and bearish divergence (price makes higher high, cumulative delta makes lower high). Mark candle with above-average volume when divergence is present.
Pine Script® indicator
by WallstMoonMan
Flip to GreenPurpose: This indicator applies a Lorentzian-distance–based machine-learning model to classify market conditions and highlight probable momentum shifts. Where traditional indicators react to price movement, this one uses statistical pattern recognition to predict when momentum is likely to flip direction — the classic “flip to green” signal. Concept: Financial markets don’t move linearly; they bend and distort around major catalysts (news, FOMC meetings, earnings, etc.) in a way similar to how gravity warps space-time. This indicator accounts for that distortion by measuring distance in Lorentzian space instead of the usual Euclidean space. In simple terms: it adapts to volatility “warping,” allowing the model to detect structural momentum changes that normal math misses. Core logic: Imports two custom libraries: MLExtensions for machine-learning utilities KernelFunctions for advanced distance calculations Computes relationships among multiple features (e.g., RSI, ADX, or other inputs). Uses Lorentzian geometry to weight how recent price-time behavior influences current classification. Outputs a visual “flip” cue when the probability of trend reversal exceeds threshold confidence. Why it matters: Most indicators measure what has already happened. Lorentzian Classification attempts to capture what’s about to happen by comparing the present market state to a trained historical distribution under warped “price-time” geometry. It’s particularly useful for spotting early accumulation or exhaustion zones before they become obvious on standard momentum tools. Recommended use: Run it as a background trend classifier or color overlay. Combine it with volume-based confirmation tools (e.g., Dollar Volume Ownership Gauge) and structural analysis. A “flip to green” suggests buyers are regaining control; a fade or flip to red implies control returning to sellers.
Pine Script® indicator
by Mando4_27
Dollar Volume Ownership GaugePurpose: DVOG tracks the real money moving through a ticker by converting share volume into dollar volume (price × volume). It helps identify when institutional-sized players enter, defend, or unload positions — information that plain volume bars often hide. How it works: Each bar represents 4-minute aggregated dollar volume. Green bars = moderate sponsorship ($400 K–$1 M per 4 min). Red bars = heavy sponsorship ($1 M+ per 4 min). Black bars = normal retail flow (under $400 K). Optional horizontal guides mark both thresholds for quick reference. Alerts: Green Bar Alert: fires every time a bar exceeds $400 K, signaling fresh institutional activity. Cross Alerts: trigger once when dollar volume crosses the $400 K or $1 M levels, perfect for automation or notifications. Why it’s useful: DVOG visually confirms when a breakout, knife-and-reclaim, or coil is being driven by real capital rather than low-liquidity noise. It turns abstract volume into a direct measure of who’s actually in control. Recommended use: Run it in a separate pane below price. Combine with your normal structure analysis — higher lows, double bottoms, coils, etc. — and act only when structure and sponsorship line up.
Pine Script® indicator
by Mando4_27
Trading Toolbox by eXtylishThis indicator is an all-in-one "trading toolbox" designed for intraday price-action traders. It combines many tools into one to keep your chart clean: Key Levels: It automatically plots the Previous Day, Week, and Month Highs & Lows. Session Ranges: It draws the Highs & Lows for the Asia, London, and New York sessions. Smart Merging: Its best feature is combining nearby levels (e.g., if PDH and Asia High are at the same price) into a single line with a merged label (like "PDH & ASH"). Opening Range (ORB): It plots an opening range (e.g., first 5 mins) and includes an advanced Info Box that analyzes whether the opening's volatility and volume are high or low compared to average. Trend Indicators: It includes configurable EMAs and VWAP. HTF Candles: It displays a set of High Timeframe (e.g., 1-Hour) candles in an offset box on your chart for multi-timeframe analysis.
Pine Script® indicator
by jeffreyhidalgo
Topdown Jason IndicatorFramework: Multi-Timeframe Smart-Money-Concept (SMC) analysis The Topdown Final Indicator is a fully dynamic, top-down market-structure tool that synchronizes higher-timeframe context (H4, H1, and Weekly) with precision M15 entry signals. It was designed to replicate institutional “top-down” analysis — identifying high-probability setups by combining FVGs (Fair Value Gaps), fractal sweeps, and EMA trend alignment across multiple timeframes. 🔹 Core Features H4 Fair Value Gap Detection Automatically marks active bullish and bearish FVGs, with customizable extension and retention controls. H1 Trend Filter (20/50 EMA) Confirms directional bias based on EMA structure and dynamic spread filtering. Optionally enforces directional confluence with the higher (weekly) trend. M15 Precision Entry Logic Executes simulated long or short entries when M15 EMA crossover aligns with armed FVGs and higher-timeframe trend conditions. Smart EMA Visibility The M15 EMAs automatically appear only when price enters an H4 FVG and the H1 trend confirms — and remain visible until the next EMA cross, visually guiding the active trade phase. Risk Management Simulation Dynamic Take-Profit and Stop-Loss projection Optional 50% partial exits at 1R Internal “virtual position” tracking for clean non-strategy visualization (no repainting) Visual Management Bullish / bearish FVG zones with adjustable colors Optional H1 and M15 EMA overlays Auto-cleaning of expired or irrelevant FVGs Debug logs (optional) for real-time logic tracing
Pine Script® indicator
by paul_roth
Precision Swing Point (2-Stage) - SMT [Pogiest]General Precision Swing Point (PSP) is a concept derived from Quarterly Theory concepts originating from ICT methodologies. The concept typically uses a 3-candle swing formation in which candle 2 has a divergence in the closing price with one asset compared to the other two assets in a correlated asset triad (i.e. one closes bullish and other two closes bearish, vice-versa). A Terminus Price Divergence (TPD) is an additional divergence between candle 1’s closing price and candle 3’s opening price (i.e. one asset’s candle 3 opening price opens below candle 1 closing price while the other two assets’ candle 3 opening price opens above candle 1 closing price, vice-versa). The candle 3 divergence and candle 2 divergence put together is what defines a TPD. This indicator is designed to track TPDs in real time as they are forming. Additionally, the indicator tracks SMT (Smart Money Technique) divergences between Candle 1/Candle 2 highs/lows and Candle 2/Candle 3 high/lows. Note: Credit of concepts/ideas goes to TraderDaye, JacobSpeculates, The Market Lens Team, and ICT. In the image above, the higher timeframe candle overlay are displayed on the chart to be shown as an example with the indicator (table). Higher timeframe candles are not included as part of the indicator. This indicator is only comprised of the table shown. How the Indicator Table Works Timeframe Column: 1. Displays up to four different timeframes to monitor. Asset Columns: 1. Cells display “Bull” or “Bear” showing the current state of each candle and updates in real-time tick by tick. TPD Status Column (see defined divergences in General section above): 1. “Inactive” indicates no divergence in all assets (i.e. all three assets in a triad are all printing bullish or bearish candles) 2. “Pending” indicates a potential divergence in candle 2’s closing price (i.e. one asset’s current state in candle 2 is bearish while the others are bullish, vice versa). This updates in real-time tick by tick and continues to monitor each candle as they form for a candle 2 divergence. 3. “Active” indicates a confirmed TPD in which both a candle 2 divergence and candle 3 divergence (i.e. divergence between candle 3 opening price and candle 1 closing price) exists. Note 1: If candle 2 has an asset in a correlated triad close as a doji candle (opening price and closing price are exactly the same) while the other two assets close bullish or bearish, the indicator will not deem candle 2 as a valid PSP candle. There has to be a divergence in the opening/closing price on at least two assets to be valid. Note 2: Any historical TPDs will not be displayed in the table as this indicator only tracks TPDs in real time and continuously monitors for potential TPDs and confirmed TPDs. Added Feature (2 Stage PSP) SMT 1: Displays an SMT consecutive candle divergence between candle 1 and candle 2’s highs and lows. This is displayed once a TPD is in “Active” status while candle 3 is printing. Therefore, the label in the table cell displays past data (Candle 1 and Candle 2 high/low SMTs). 1. “Inactive” indicates there were no SMT divergences. 2. “Asset symbol names” are displayed with a corresponding up arrow or down arrow. Cell background color is red for SMT Divergence at the highs and green for SMT Divergence at the lows. For example, if there was a bearish SMT at the highs of candle 1/candle 2 and one asset made the higher high in candle 2, then that asset would have the up arrow indicating it swept candle 1’s high while the other assets have the down arrow as they did not sweep candle 1’s high. This works vice versa for bullish scenario. 3. “Both” indicates there are SMT divergences at both the highs and lows of candle 1 and candle 2. SMT 2: Displays an SMT consecutive candle divergence between candle 2 and candle 3’s highs and lows. This is displayed while a TPD is in “Active” status and updates in real-time tick by tick during candle 3’s price action. 1. “Inactive” indicates there are no current SMT divergences. 2. “Asset symbol names” are displayed with a corresponding up arrow or down arrow. Cell background color is red for SMT Divergence at the highs and green for SMT Divergence at the lows. For example, if there was a bearish SMT at the highs of candle 2/candle 3 and one asset made the higher high in candle 3, then that asset would have the up arrow indicating it swept candle 2’s high while the other assets have the down arrow as they did not sweep candle 2’s high. If one of the assets that did not sweep candle 2’s high ends up sweeping the high, then that asset will dynamically move to the left of the cell next to the asset that swept candle 2’s high with an up arrow leaving only one asset with the down arrow. If the last asset ends up sweeping candle 2’s high, then the cell would change to “Inactive”. This works vice versa for bullish scenario. 3. “Both” indicates there are SMT divergences at both the highs and lows of candle 2 and candle 3. If an SMT on one side gets deleted, then the cell will automatically update to display the SMT that is still intact. Note: Equal lows/highs are considered to be a failure swing since it did not sweep the previous candle low/high. Settings 1. Choose up to three different assets to monitor. Note: If only two are selected, the indicator will only display the two selected and compare the two assets for divergences. If one is selected, a warning sign will be displayed to select at least two assets. 2. Choose up to four different timeframes. Option to deselect timeframes. 3. Option to enable all alerts or active alerts. Alerts include the different status changes in the table (i.e. Pending, Active, Bullish SMT, Bearish SMT, etc for each or all timeframes). 4. Toggle option to show/hide the table. Toggle option to show/hide the “Title Row” which is the first row at the top of the table. 5. Adjust the table positioning to be displayed on the chart. 6. Option to change text size in the table cells. This will also increase/decrease the size of the table. 7. Table Color Customization gives you options to change the background colors of the cells including text color. What makes this indicator unique: 1. Track current PSP/TPD status in real-time tick by tick as candles form in multiple timeframes. 2. Track consecutive candle SMT in a 3-candle swing formation in real-time in multiple timeframes. 3. Instead of switching through timeframes to check for PSPs/TPDs, they are consolidated in one table. Risk Disclaimer This indicator is for educational and informational purposes only and does not constitute financial advice. All trading and investment decisions remain solely the responsibility of the user. Trading involves a high degree of risk, and past performance is not indicative of future results. Always conduct your own research and consult with a qualified financial professional before making any trading decisions. By using this indicator, users acknowledge they understand these risks and accept full responsibility for their trading decisions and outcomes.
Pine Script® indicator
by Pogiest
Key LevelsKey Levels automatically plots the most important price levels directly on your chart — giving you instant clarity on where the market is reacting. What It Shows Daily Levels: Daily Open Previous Day High & Low Previous Day Equilibrium (Midpoint) Weekly Levels: Previous Week High & Low Previous Week Equilibrium Monthly Levels: Previous Month High & Low Previous Month Equilibrium Yearly Levels: Previous Year High & Low Previous Year Equilibrium Features Fully customizable colors, styles, and line types Option to toggle each timeframe on/off Works on any symbol or timeframe Lightweight and non-intrusive 💡 Why Use It Easily identify areas where price is likely to react — such as liquidity pools, range extremes, and institutional levels. Perfect for day traders, swing traders, and smart money concept users.
Pine Script® indicator
by DragToPe
Inside SwingsOverview The Inside Swings indicator identifies and visualizes "inside swing" patterns in price action. These patterns occur when price creates a series of pivots that form overlapping ranges, indicating potential consolidation or reversal zones. What are Inside Swings? Inside swings are specific pivot patterns where: - HLHL Pattern: High-Low-High-Low sequence where the first high is higher than the second high, and the first low is lower than the second low - LHLH Pattern: Low-High-Low-High sequence where the first low is lower than the second low, and the first high is higher than the second high Here an Example These patterns create overlapping price ranges that often act as: - Support/Resistance zones - Consolidation areas - Potential reversal points - Breakout levels Levels From the Created Range Input Parameters Core Settings - Pivot Lookback Length (default: 5): Number of bars on each side to confirm a pivot high/low - Max Boxes (default: 100): Maximum number of patterns to display on chart Extension Settings - Extend Lines: Enable/disable line extensions - this extends the Extremes of the Swings to where a new Swing Started or Extended Right for the Latest Inside Swings - Show High 1 Line: Display first high/low extension line - Show High 2 Line: Display second high/low extension line - Show Low 1 Line: Display first low/high extension line - Show Low 2 Line: Display second low/high extension line Visual Customization Box Colors - HLHL Box Color: Color for HLHL pattern boxes (default: green) - HLHL Border Color: Border color for HLHL boxes - LHLH Box Color: Color for LHLH pattern boxes (default: red) - LHLH Border Color: Border color for LHLH boxes Line Colors - HLHL Line Color: Extension line color for HLHL patterns - LHLH Line Color: Extension line color for LHLH patterns - Line Width: Thickness of extension lines (1-5) Pattern Detection Logic HLHL Pattern (Bullish Inside Swing) Condition: High1 > High2 AND Low1 < Low2 Sequence: High → Low → High → Low Visual: Two overlapping boxes with first range encompassing second Detection Criteria: 1. Last 4 pivots form High-Low-High-Low sequence 2. Fourth pivot (first high) > Second pivot (second high) 3. Third pivot (first low) < Last pivot (second low) LHLH Pattern (Bearish Inside Swing) Condition: Low1 < Low2 AND High1 > High2 Sequence: Low → High → Low → High Visual: Two overlapping boxes with first range encompassing second Detection Criteria: 1. Last 4 pivots form Low-High-Low-High sequence 2. Fourth pivot (first low) < Second pivot (second low) 3. Third pivot (first high) > Last pivot (second high) Visual Elements Boxes - Box 1: Spans from first pivot to last pivot (larger range) - Box 2: Spans from third pivot to last pivot (smaller range) - Overlap: The intersection of both boxes represents the inside swing zone Extension Lines - High 1 Line: Horizontal line at first high/low level - High 2 Line: Horizontal line at second high/low level - Low 1 Line: Horizontal line at first low/high level - Low 2 Line: Horizontal line at second low/high level Line Extension Behavior - Historical Patterns: Lines extend until the next pattern starts - Latest Pattern: Lines extend to the right edge of chart - Dynamic Updates: All lines are redrawn on each bar for accuracy Trading Applications Support/Resistance Levels Inside swing levels often act as: - Dynamic support/resistance - Breakout confirmation levels - Reversal entry points Pattern Interpretation - HLHL Patterns: Potential bullish continuation or reversal - LHLH Patterns: Potential bearish continuation or reversal - Overlap Zone: Key area for price interaction Entry Strategies 1. Breakout Strategy: Enter on break above/below inside swing levels 2. Reversal Strategy: Enter on bounce from inside swing levels 3. Range Trading: Trade between inside swing levels Technical Implementation Data Structures type InsideSwing int startBar // First pivot bar int endBar // Last pivot bar string patternType // "HLHL" or "LHLH" float high1 // First high/low float low1 // First low/high float high2 // Second high/low float low2 // Second low/high box box1 // First box box box2 // Second box line high1Line // High 1 extension line line high2Line // High 2 extension line line low1Line // Low 1 extension line line low2Line // Low 2 extension line bool isLatest // Latest pattern flag Memory Management - Pattern Storage: Array-based storage with automatic cleanup - Pivot Tracking: Maintains last 4 pivots for pattern detection - Resource Cleanup: Automatically removes oldest patterns when limit exceeded Performance Optimization - Duplicate Prevention: Checks for existing patterns before creation - Efficient Redraw: Only redraws lines when necessary - Memory Limits: Configurable maximum pattern count Usage Tips Best Practices 1. Combine with Volume: Use volume confirmation for breakouts 2. Multiple Timeframes: Check higher timeframes for context 3. Risk Management: Set stops beyond inside swing levels 4. Pattern Validation: Wait for confirmation before entering Common Scenarios - Consolidation Breakouts: Inside swings often precede significant moves - Reversal Zones: Failed breakouts at inside swing levels - Trend Continuation: Inside swings in trending markets Limitations - Lagging Indicator: Patterns form after completion - False Signals: Not all inside swings lead to significant moves - Market Dependent: Effectiveness varies by market conditions Customization Options Visual Adjustments - Modify colors for different market conditions - Adjust line widths for visibility - Enable/disable specific elements Detection Sensitivity - Increase pivot length for smoother patterns - Decrease for more sensitive detection - Balance between noise and signal Display Management - Control maximum pattern count - Adjust cleanup frequency - Manage memory usage Conclusion The Inside Swings indicator provides a systematic approach to identifying consolidation and potential reversal zones in price action. By visualizing overlapping pivot ranges The indicator's strength lies in its ability to: - Identify key price levels automatically - Provide visual context for market structure - Offer flexible customization options - Maintain performance through efficient memory management
Pine Script® indicator
by mindyourbuisness
4
ICT Smart Entry – XAUUSD Assistant (IRAQJY v1.0)ICT Smart Entry – XAUUSD Assistant (IRAQJY v1.0) This indicator is designed to assist traders in identifying high-probability entry zones on XAUUSD (Gold) using refined ICT-based concepts. It automatically detects: • Market Structure shifts (BOS & CHoCH) • Order Blocks and Fair Value Gaps (FVGs) • Optimal Trade Entry (OTE) zones between 62–79% • Premium & Discount Arrays (PDA) for directional bias • Liquidity sweeps confirming institutional activity The script plots live confluence-based Buy/Sell setups and automatically removes outdated signals to keep the chart clean and focused only on upcoming entries. You can enable optional alerts for new confirmed entries with dynamic SL & TP levels. Note: This tool is built for educational and analytical purposes. It does not guarantee profits or provide financial advice. © 2025 IRAQJY – Original closed-source design. Arabic (optional addition): مؤشر ذكي يساعدك على تحديد مناطق الدخول القوية في الذهب (XAUUSD) باستخدام مفاهيم ICT الاحترافية. يعرض فقط إشارات الدخول القادمة بشكل نظيف، مع تنبيهات فورية للأوامر الجديدة. © 2025 IRAQJY – جميع الحقوق محفوظة.
Pine Script® indicator
by iraqJP