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Quantum Power Engine v4.1 Light ModeThis guide explains how to effectively use the Quantum Power Engine v4.1 (Light Mode). This indicator is a multi-factor scoring system designed to aggregate momentum, volume, and trend data into a single, actionable "Power Score." 1. The Core Scoring System The indicator calculates a Power Score ranging from -100 to +100. This score is derived from five weighted technical dimensions: | Factor | Weight | Condition | |---|---|---| | MACD | 30% | Based on histogram direction and slope. | | Volume/VWAP | 25% | Checks if price is above VWAP with high volume (Relative Vol > 2.0). | | RSI | 15% | Relative strength compared to its SMA and the 60/40 levels. | | CMF | 15% | Measures institutional capital inflow (Chaikin Money Flow). | | SuperTrend | 15% | Defines the overall structural market direction. | 2. Market Status & Strategy Depending on the current Power Score, the dashboard will display one of seven market states. Use the following guide for your trade execution: 🟢 Bullish Zones (Positive Score) * +75 to +100: Hyper-Bullish (☀️) * Market Sentiment: Extreme Greed / Buying Climax. * Strategy: Hold current positions; tighten Stop-Losses; do not short, but be wary of a "blow-off top." * +45 to +75: Strong Up-trend (🚀) * Market Sentiment: Optimistic / Main Momentum Wave. * Strategy: This is the most profitable phase. Focus on trend-following and adding to winners. * +15 to +45: Momentum Entry (🟢) * Market Sentiment: Recovery / Capital Inflow. * Strategy: Look for long entries (Right-side trading). Monitor if volume continues to expand. 🟡 Neutral Zone * -15 to +15: Extreme Volatility (⚡) * Market Sentiment: Indecision / Market Chop. * Strategy: Wait and See. Avoid trading in this zone as "fakeouts" are common. 🔴 Bearish Zones (Negative Score) * -15 to -45: Defensive Phase (🔴) * Market Sentiment: Cautious / Selling Pressure. * Strategy: Reduce long positions. Do not "buy the dip" yet. * -45 to -75: Violent Sell-off (🩸) * Market Sentiment: Panic / Breakdown. * Strategy: Avoid catching falling knives. Stay in cash or look for short opportunities. * -75 to -100: Total Breakdown (💀) * Market Sentiment: Despair / Liquidity Exhaustion. * Strategy: Maximum bearishness. Wait for a "Right-side" bottoming signal before looking for a reversal. 3. Key Visual Indicators The Dashboard (Top Right) * Power Score (战力值): The "temperature" of the market. * MACD Momentum: Shows if the trend is accelerating (Enhancing) or losing steam (Fading). * Volume Ratio: Compares current volume to the average. * Purple (Hyper-Volume): Institutional activity. * Yellow (Significant): Strong participation. * Grey (Low): Danger of a trap or lack of interest. The Squeeze Alert (⚡) When you see a Gold Bolt (⚡) above a candle, it indicates a "Squeeze" signal: * Meaning: Low volatility + Low volume + Neutral score. * Action: The market is "coiling" like a spring. Expect a violent breakout (up or down) shortly. Prepare your triggers. 4. How to Trade with This Indicator * Identify the Bias: Look at the Dashboard. If the score is > 45, look for Longs. If < -45, look for Shorts. * Confirm with Volume: Ensure the "Volume Ratio" is at least > 1.2x (Green or Yellow) before entering a trend trade. * The Exit: If you are in a long trade (Score > 45) and the score drops below +15 or the MACD Momentum changes to "Fading" (⚪), consider taking profits. * The "Squeeze" Play: If you see the ⚡ icon, wait for the first candle to break the range with a rising Power Score to catch the start of a new move.
Pine Script® indicator
by junzheding
Box Theory [Interactive Zones] PyraTimeThis script combines Nicholas Darvas’s "Box Theory" with modern Supply and Demand (Premium/Discount) concepts. It automatically identifies the most recent Swing High and Swing Low to delineate the current trading range. The purpose of this tool is to visualize market structure and help traders identify when price is relatively expensive (Premium) or cheap (Discount) within a defined range. Visual Guide: What You Are Seeing The Box: Represents the active trading range defined by the most recent significant Swing High and Swing Low. Red Zone (Premium): The top 25% of the range. Mathematically, prices here are considered "expensive" relative to the current structure. Green Zone (Discount): The bottom 25% of the range. Prices here are considered "cheap" relative to the current structure. Grey Zone (Equilibrium): The middle 50% of the range. This is the area of fair value where price often consolidates. Dashed Line (EQ): The exact 50% midpoint of the range. Tutorial: How to Trade Using This Indicator Method 1: Mean Reversion (Range Trading) This method applies when the market is moving sideways. Identify Structure: Wait for a box to form. Wait for Extremes: Do not trade when price is in the middle (Grey/White area). Wait for price to enter the Red or Green zones. Entry Trigger: Shorts: When price enters the Red Zone, look for a rejection (wicks leaving the zone) or a lower timeframe breakdown. Target the EQ (Midline) as your first take profit. Longs: When price enters the Green Zone, look for support formation. Target the EQ (Midline) as your first take profit. Method 2: Trend Continuation (Breakouts) This method applies when the market is trending strongly. Breakout: Monitor the alerts. A close outside the box indicates a potential shift in market structure. Retest: After a breakout up, the old "Red Zone" (Resistance) often flips to become new Support. Wait for price to pull back to the top of the old box before entering. Configuration Guide (Settings) Pivot Left/Right Bars (Sensitivity): Default (20/20): Best for Swing Trading. It filters out market noise and only draws boxes based on major structural points. Lower (5/5): Best for Scalping. It will create smaller, more frequent boxes but increases the risk of false signals. Zone Percentage: Default (25%): Standard deviation for Supply/Demand zones. Alternative (15%): Use this for "sniping" entries at the absolute extremes of the range. Multi-Timeframe (MTF): Enable "Use Higher Timeframe" to see Daily or Weekly ranges while trading on lower timeframes (like the 15m or 1H). This helps keep your intraday trades aligned with the major trend. Technical Note on "Lag" This indicator uses Pivots to draw the box. A pivot is only confirmed after a certain number of bars have passed (the "Pivot Right Bars" setting). Example: If "Pivot Right Bars" is set to 20, the box will update 20 bars after the actual high or low occurred. This is necessary to confirm that the point was indeed a Swing High/Low. Do not treat the box lines as predictive; they are reactive to confirmed structure.
Pine Script® indicator
by PyraTime
Volume PressureVolume Pressure Volume Pressure is a volume-flow based oscillator designed to visualize relative buying and selling pressure using a refined Volume Flow Index (VFI) methodology. The indicator evaluates how volume behaves in relation to price movement and volatility, and presents this information as a smooth flow line with adaptive color intensity for easier interpretation. What the Indicator Shows Volatility-filtered volume participation Directional volume flow derived from price change A smoothed flow line with dynamic color intensity A signal line for visual reference The flow line is layered to enhance visibility, making it easier to read on dark chart backgrounds and smaller panels. How to Read It Flow Line: Represents relative volume pressure Above zero: positive pressure Below zero: negative pressure Color Intensity: Brighter colors indicate stronger relative pressure Faded colors indicate weaker or neutral pressure Signal Line: A smoothed reference of flow behavior Usage Notes Designed as a visual analysis and confirmation tool Can be used across intraday and higher timeframes Best used alongside price action, trend, or structure analysis Disclaimer This indicator is for analytical and educational purposes only. It does not provide buy or sell signals and does not imply future performance.
Pine Script® indicator
by Market_Logic_India
Wickless Candle Revisit TrackerWickless Candle Revisit Tracker Identifies wickless candles (strong momentum candles) and tracks whether price revisits their opening level, providing statistical insights into price behavior patterns. WHAT ARE WICKLESS CANDLES? • Green wickless: Open = Low (no lower wick) - opened at the low and moved only upward • Red wickless: Open = High (no upper wick) - opened at the high and moved only downward These candles represent strong directional momentum, and their opening levels often act as support/resistance zones that price may revisit. KEY FEATURES: • Automatic Detection: Identifies wickless candles with configurable tolerance for broker spread • Real-time Tracking: Monitors each wickless candle until price revisits its opening level • Visual Indicators: - Labels show "WL↑" or "WL↓" with bars count when revisited (or "N/A" if pending) - Horizontal lines mark price levels (gray dashed = pending, green solid = revisited) • Comprehensive Statistics Table: - Total wickless candles detected - Revisit rate percentage - Min/Max/Average bars until revisit - Pending count • History Limit: Configure how far back to analyze (default: 500 bars) • Customizable: Adjust colors, toggle labels/lines/table, reposition statistics USE CASES: • Identify potential support/resistance levels from momentum candles • Measure how often price fills "fair value gaps" or inefficiencies • Track mean reversion patterns after strong momentum moves • Backtest the reliability of wickless candle levels as trading zones SETTINGS: • Wick Tolerance: Allow small wicks due to broker spread (e.g., 0.0001 for forex) • History Limit: Number of bars to analyze (older candles are hidden) • Visual Controls: Toggle labels, lines, and statistics table • Color Customization: Adjust line colors for pending/revisited states ALERTS: Built-in alerts for wickless candle detection (green, red, or both). Perfect for traders analyzing price inefficiencies, fair value gaps, and momentum-based support/resistance levels.
Pine Script® indicator
by vgnt
HTF Accumulation Distribution Zones (Analysis)📌 Indicator Name HTF Accumulation–Distribution Zones (Analysis) This indicator highlights potential accumulation and distribution contexts on the price chart using a combination of volume behavior, volatility (ATR), momentum, and VWAP positioning.The script is designed to help traders understand market participation and positioning, especially on higher intraday and swing timeframes, where institutional activity tends to leave clearer footprints. 🔍 What the indicator shows ACC (Accumulation) : Marks areas where controlled buying activity may be present, identified through: Strong candle structure relative to volatility Healthy or controlled volume participation Improving momentum within defined ranges DIST (Distribution) : Marks areas where selling pressure may be emerging, identified through: Price stretching away from VWAP Weakening momentum Strong bearish candle structure These labels represent contextual zones, not trade signals. 🧠 How to use it Use ACC and DIST labels as market context, not as direct buy or sell instructions. Best used as a confirmation layer alongside: Trend filters (EMA, VWAP, structure) Support & resistance Breakout or pullback strategies Works well on 15-minute, 30-minute, 1-hour, and higher timeframes Suitable for indices, futures, and liquid stocks ⚠️ Important Notes This indicator does not generate buy or sell signals. It does not predict future price movement. All outputs are based purely on historical data analysis. Always apply independent confirmation and proper risk management
Pine Script® indicator
by Market_Logic_India
Spike Detector (Ticks/Points)Spike Detector (Ticks / Points) What This Indicator Does Spike Detector (Ticks / Points) helps you easily spot large, high-volatility candles on your chart. These “spike” candles often happen during strong momentum, breakouts, stop runs, or sudden reversals. Instead of guessing whether a candle is “big enough,” this indicator automatically measures each candle’s size and highlights it when it exceeds a threshold you choose. How It Works (Simple Explanation) The indicator measures the high-to-low range of every candle It converts that range into ticks using the instrument’s minimum tick size If the candle size is equal to or greater than your selected threshold, it is marked as a spike Spike candles are: Colored green for bullish candles Colored red for bearish candles A label is placed on the chart showing the candle size in ticks or points This logic is non-repainting and works on all timeframes. Inputs Explained Spike Size Threshold The minimum candle size required to be considered a spike (measured in ticks) Display Unit (Ticks / Points) Choose whether the label shows the candle size in: Ticks (recommended for futures) Points (useful for stocks and indices) Label Offset Adjusts how far above or below the candle the label appears How to Use This Indicator This indicator is meant to be used as a visual tool, not a standalone trading system. Common ways traders use it: Identify momentum ignition candles Spot stop runs or liquidity grabs Confirm breakouts with strong candle expansion Avoid entering trades during abnormally volatile bars Study volatility behavior during specific sessions Many traders combine this with: Market structure Support & resistance Trend direction Volume or session context Tips for Best Results Start with a moderate threshold and adjust based on the market you trade Higher timeframes usually need larger thresholds Futures traders may prefer tick mode, while stock traders may prefer points Use spike candles as context, not signals by themselves Notes Works on all symbols that support tick size data Does not repaint Designed to be lightweight and easy to read Disclaimer This indicator is for educational and informational purposes only. It does not provide trade signals or financial advice. Always manage risk appropriately.
Pine Script® indicator
by GiKeba
Liquidity Sweep by NKLiquidity Sweep (OC-Based) + Doji Acceptance 🔹 Designed for 4H Crypto Trading This indicator highlights high-probability liquidity sweep candles using a body-based comparison (Open/Close) rather than traditional high/low sweeps, making it cleaner and more reliable in volatile crypto markets. It is specifically optimized for the 4-hour timeframe, where each day consists of 6 candles, allowing clear identification of institutional stop-hunts and failed breakouts. --- 🔍 Core Concept Liquidity is often taken above recent candle bodies (opens & closes) rather than just wicks. This script detects those events and confirms them using candle structure, wick dominance, and doji behavior. The indicator marks candles where: * Liquidity is swept * Price is rejected * Directional intent is visible --- 🔴 Bearish Liquidity Sweep (Sell Signal) A candle is highlighted as bearish when ALL of the following conditions are met: 1️⃣ Liquidity Sweep (Body-Based) * Current candle HIGH is greater than ALL * Opens of the last X candles * Closes of the last X candles (Wicks of previous candles are ignored to reduce noise) 2️⃣ Wick Dominance * Upper wick > Lower wick 3️⃣ Rejection Confirmation (ANY ONE) * Candle closes red, OR * Candle is a Gravestone-type Doji, defined as: * Very small candle body * Strong upper wick * Body color is irrelevant --- 🟢 Bullish Liquidity Sweep (Buy Signal) A candle is highlighted as bullish when ALL of the following conditions are met: 1️⃣ Liquidity Sweep (Body-Based) * Current candle LOW is lower than ALL * Opens of the last X candles * Closes of the last X candles 2️⃣ Wick Dominance * Lower wick > Upper wick 3️⃣ Rejection Confirmation (ANY ONE) * Candle closes green, OR * Candle is a Dragonfly-type Doji, defined as: * Very small candle body * Strong lower wick * Body color is irrelevant --- ## ⚙️ Inputs * Liquidity Lookback (X candles) Number of previous candles used to define the liquidity range. * Doji Body % of Candle Range Controls how small the candle body must be to qualify as a doji. --- 🎨 Visuals * 🔴 Red candle + down arrow → Bearish liquidity sweep * 🟢 Green candle + up arrow → Bullish liquidity sweep * Indicator is plotted directly on price --- ✅ Key Features * Uses Open & Close levels instead of highs/lows * Filters weak signals using wick dominance * Accepts both body-based and doji-based rejections * No repainting * Works on all markets, optimized for crypto * Best used at: * Range highs & lows * Previous day high / low * Consolidation extremes --- ❌ What This Indicator Does NOT Do * No trend bias * No RSI / EMA / CPR filters * No session-based filtering * No multi-timeframe logic * No entry/exit automation
Pine Script® indicator
by NKR1996
3D Isometric MFI (Christmas Edition) [Kodexius]3D Isometric MFI (Christmas Edition) is a visual-first interpretation of the classic Money Flow Index, rendered as a projected 3D-style ribbon using an isometric mapping. Instead of plotting a standard oscillator line, the script reconstructs recent MFI history as a depth-aware ribbon that moves from back to front, producing a layered perspective effect that helps you read momentum shifts, regime transitions, and relative strength changes as a continuous structure. This Christmas Edition was also built for fun and as a creative seasonal experiment. The goal is to keep the underlying indicator logic familiar, while presenting it in a playful, “3D showroom” style that looks great in a separate oscillator panel. The indicator is designed for presentation quality and chart readability. It uses controlled object management (lines, polylines, labels) and renders only the most recent portion of the MFI history (user-defined depth). A decorative snow background effect adds atmosphere. 🔹 Features 🎄 🔸 Isometric 3D Projection Engine The ribbon is produced by projecting 3D points (time offset, MFI value, depth) into 2D chart coordinates. - X represents bar offset into history - Y represents the MFI value - Z introduces depth and perspective Angle controls the projection direction, and Vertical Zoom scales the perceived amplitude. 🔸 Depth-Limited Ribbon Rendering (Back to Front) Only the most recent History Depth values are drawn to keep performance and readability stable. - Each segment connects two consecutive MFI values - A top edge, bottom edge, and filled face are drawn to simulate thickness - Older segments fade into the background 🔸 Dynamic Gradient Coloring + Depth Fade Ribbon color follows a value-based gradient: - Lower values lean red (risk-off pressure) - Higher values lean green (risk-on pressure) - Mid values blend naturally Transparency increases with depth so older history is less dominant but still readable. 🔸 Tip Label (Value + Candy Marker) 🍭🍬 The most recent ribbon tip displays current MFI value. A candy symbol that switches based on the 50 midpoint The label is offset so it does not cover the ribbon tip. 🔸 Projected Reference Grid (80, 50, 20) A projected grid is drawn at classic MFI reference levels to improve orientation: - 80 Overbought reference - 50 Midpoint reference - 20 Oversold reference These grid lines use the same projection math, so they stay aligned at any angle or zoom. 🔸 Seasonal Snow Background Effect ❄️ Randomized snow is rendered behind the ribbon using lightweight labels. This is purely decorative and does not alter MFI values or logic. 🔸 Object Lifecycle Management Because 3D-style drawing uses many objects, the script manages them explicitly by storing references in arrays, deleting old objects, and redrawing on the last bar. This helps prevent visual stacking artifacts and keeps the panel clean. 🔹 Calculations 1) Money Flow Index Computation The script separates “positive” and “negative” money flow based on the direction of change in the selected source, then converts their ratio into the standard 0 to 100 oscillator. Classic MFI Calculations. calc_mfi(int length, float source) => float upper = math.sum(volume * (ta.change(source) <= 0 ? 0 : source), length) float lower = math.sum(volume * (ta.change(source) >= 0 ? 0 : source), length) float mfi = 100.0 if lower != 0 float r = upper / lower mfi := 100 - (100 / (1 + r)) mfi Interpretation: upper accumulates volume-weighted source values on up moves lower accumulates volume-weighted source values on down moves if lower is zero, MFI defaults to 100 to avoid division errors otherwise, MFI is computed from the ratio transform 2) History Buffer Management The current MFI value is pushed into the front of an array every bar. The array is trimmed to History Depth so rendering stays bounded. array.unshift(ctx.history_val, mfi_curr) if ctx.history_val.size() > depth ctx.history_val.pop() 3) 3D Point Model and Ribbon Thickness Each segment is built from four projected points to form a filled face (a simple quad). A small thickness is applied to create the “ribbon” look, and depth is used to simulate perspective. 4) Isometric Projection to Chart Coordinates 3D points are mapped into chart coordinates with an angle rotation and scaling for zoom and depth. method project(Point3 p, int anchor_bar, float angle_rad, float zoom, float z_scale) => float x_world = -float(p.x) * 2.0 float z_val = p.z * z_scale float screen_x_offset = (x_world * math.cos(angle_rad)) - (z_val * 1.0) float screen_y_offset = (p.y * zoom) + (x_world * math.sin(angle_rad)) * 0.5 int final_x = anchor_bar + int(math.round(screen_x_offset)) float final_y = screen_y_offset chart.point.from_index(final_x, final_y) 5) Gradient and Depth Transparency Color is derived from MFI value via a gradient, and transparency increases with segment depth so recent data remains dominant while older context stays visible. 6) Projected Reference Grid Construction The 80, 50, 20 levels are drawn as dotted segments across the same historical span, using the same projection and depth fade logic for consistent alignment. 🎆 Wishing you a great year ahead 🎄✨ May your charts be clear, your risk be controlled, and your next year be filled with health, peace, and good trades. Happy Holidays and Happy New Year.
Pine Script® indicator
by Kodexius
HTF Fractal Boxes by TAAKOWhat This Indicator Does This indicator displays higher timeframe (HTF) candlesticks as an overlay on your current chart, allowing you to see larger timeframe price action without switching charts. Key Features: Shows the last 3 completed HTF candles (configurable) Displays a 4th candle with dashed lines showing the current forming HTF bar Each candle includes full OHLC data: body (open/close) and wicks (high/low) Candles are color-coded: green for bullish, red for bearish, blue for neutral Positioned on the right side of your chart for easy reference Automatically scales with your Y-axis price movements
Pine Script® indicator
by oostermanr
TradingView Alert Adapter for AlgoWayTRALADAL is a universal TradingView alert adapter designed for traders who work with indicators and want to test and automate indicator-based signals in a structured way. It allows users to convert indicator outputs into a TradingView strategy and forward the same logic through alerts for multi-platform execution via AlgoWay. This script can be used as TradingView indicator automation, enabling traders to build a TradingView strategy from indicators and route TradingView alerts through an AlgoWay connector TradingView workflow for multi-platform execution. Why this adapter is needed Most TradingView indicators are not available as strategies. Traders often receive visual signals or alerts but have no access to objective statistics such as win rate, drawdown, or profit factor. This adapter solves that problem by providing a generic framework that transforms indicator signals into a backtestable strategy — without modifying indicator code and without requiring Pine Script knowledge. Input source–based design (including closed indicators) All conditions in TRALADAL are built using input sources, which means you can connect: Event-based signals (1 / non-zero values, arrows, shapes) Indicator lines and values (EMA, VWAP, RSI, MACD, etc.) Outputs from invite-only or closed-source indicators If an indicator produces a visible signal or alert-compatible output, it can be evaluated and tested using this adapter, even when the source code is locked. Three-level signal logic The strategy uses a three-layer condition model commonly applied in discretionary and systematic trading: Signal — primary entry trigger Confirmation — directional validation Filter — additional noise reduction Each level can be enabled independently and combined using AND / OR logic, allowing traders to test multi-indicator systems without writing complex scripts. Risk management and alert execution The adapter supports practical risk parameters: Stop Loss (pips) Take Profit (pips) Trailing Stop (pips) Two execution modes are available: Strategy Mode — risk rules are applied inside the TradingView Strategy Tester Alert Mode — risk parameters are embedded into structured TradingView alerts and handled by AlgoWay during execution Position sizing follows TradingView conventions (percent of equity, cash, or contracts) to keep strategy results and alerts aligned. Typical use cases This TradingView alert adapter is intended for: Indicator-based trading systems Backtesting signals from closed or invite-only scripts Comparing multiple indicators within a single strategy Sending TradingView alerts to external trading platforms via AlgoWay The adapter does not generate signals or trading recommendations. Its purpose is to provide a transparent and testable workflow from indicator signals to TradingView alerts and automated execution.
Pine Script® strategy
by AlgowayConnector
Adaptive ML Trailing Stop [BOSWaves]Adaptive ML Trailing Stop – Regime-Aware Risk Control with KAMA Adaptation and Pattern-Based Intelligence Overview Adaptive ML Trailing Stop is a regime-sensitive trailing stop and risk control system that adjusts stop placement dynamically as market behavior shifts, using efficiency-based smoothing and pattern-informed biasing. Instead of operating with fixed ATR offsets or rigid trailing rules, stop distance, responsiveness, and directional treatment are continuously recalculated using market efficiency, volatility conditions, and historical pattern resemblance. This creates a live trailing structure that responds immediately to regime change - contracting during orderly directional movement, relaxing during rotational conditions, and applying probabilistic refinement when pattern confidence is present. Price is therefore assessed relative to adaptive, condition-aware trailing boundaries rather than static stop levels. Conceptual Framework Adaptive ML Trailing Stop is founded on the idea that effective risk control depends on regime context rather than price location alone. Conventional trailing mechanisms apply constant volatility multipliers, which often results in trend suppression or delayed exits. This framework replaces static logic with adaptive behavior shaped by efficiency state and observed historical outcomes. Three core principles guide the design: Stop distance should adjust in proportion to market efficiency. Smoothing behavior must respond to regime changes. Trailing logic benefits from probabilistic context instead of fixed rules. This shifts trailing stops from rigid exit tools into adaptive, regime-responsive risk boundaries. Theoretical Foundation The indicator combines adaptive averaging techniques, volatility-based distance modeling, and similarity-weighted pattern analysis. Kaufman’s Adaptive Moving Average (KAMA) is used to quantify directional efficiency, allowing smoothing intensity and stop behavior to scale with trend quality. Average True Range (ATR) defines the volatility reference, while a K-Nearest Neighbors (KNN) process evaluates historical price patterns to introduce directional weighting when appropriate. Three internal systems operate in tandem: KAMA Efficiency Engine : Evaluates directional efficiency to distinguish structured trends from range conditions and modulate smoothing and stop behavior. Adaptive ATR Stop Engine : Expands or contracts ATR-derived stop distance based on efficiency, tightening during strong trends and widening in low-efficiency environments. KNN Pattern Influence Layer : Applies distance-weighted historical pattern outcomes to subtly influence stop placement on both sides. This design allows stop behavior to evolve with market context rather than reacting mechanically to price changes. How It Works Adaptive ML Trailing Stop evaluates price through a sequence of adaptive processes: Efficiency-Based Regime Identification : KAMA efficiency determines whether conditions favor trend continuation or rotational movement, influencing stop sensitivity. Volatility-Responsive Scaling : ATR-based stop distance adjusts automatically as efficiency rises or falls. Pattern-Weighted Adjustment : KNN compares recent price sequences to historical analogs, applying confidence-based bias to stop positioning. Adaptive Stop Smoothing : Long and short stop levels are smoothed using KAMA logic to maintain structural stability while remaining responsive. Directional Trailing Enforcement : Stops advance only in the direction of the prevailing regime, preserving invalidation structure. Gradient Distance Visualization : Gradient fills reflect the relative distance between price and the active stop. Controlled Interaction Markers : Diamond markers highlight meaningful stop interactions, filtered through cooldown logic to reduce clustering. Together, these elements form a continuously adapting trailing stop system rather than a fixed exit mechanism. Interpretation Adaptive ML Trailing Stop should be interpreted as a dynamic risk envelope: Long Stop (Green) : Acts as the downside invalidation level during bullish regimes, tightening as efficiency improves. Short Stop (Red) : Serves as the upside invalidation level during bearish regimes, adjusting width based on efficiency and volatility. Trend State Changes : Regime flips occur only after confirmed stop breaches, filtering temporary price spikes. Gradient Depth : Deeper gradient penetration indicates increased extension from the stop rather than imminent reversal. Pattern Influence : KNN weighting affects stop behavior only when historical agreement is strong and remains neutral otherwise. Distance, efficiency, and context outweigh isolated price interactions. Signal Logic & Visual Cues Adaptive ML Trailing Stop presents two primary visual signals: Trend Transition Circles : Display when price crosses the opposing trailing stop, confirming a regime change rather than anticipating one. Stop Interaction Diamonds : Indicate controlled contact with the active stop, subject to cooldown filtering to avoid excessive signals. Alert generation is limited to confirmed trend transitions to maintain clarity. Strategy Integration Adaptive ML Trailing Stop fits within trend-following and risk-managed trading approaches: Dynamic Risk Framing : Use adaptive stops as evolving invalidation levels instead of fixed exits. Directional Alignment : Base execution on confirmed regime state rather than speculative reversals. Efficiency-Based Tolerance : Allow greater price fluctuation during inefficient movement while enforcing tighter control during clean trends. Pattern-Guided Refinement : Let KNN influence adjust sensitivity without overriding core structure. Multi-Timeframe Context : Apply higher-timeframe efficiency states to inform lower-timeframe stop responsiveness. Technical Implementation Details Core Engine : KAMA-based efficiency measurement with adaptive smoothing Volatility Model : ATR-derived stop distance scaled by regime Machine Learning Layer : Distance-weighted KNN with confidence modulation Visualization : Directional trailing stops with layered gradient fills Signal Logic : Regime-based transitions and controlled interaction markers Performance Profile : Optimized for real-time chart execution Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Tight adaptive trailing for short-term momentum control 15 - 60 min : Structured intraday trend supervision 4H - Daily : Higher-timeframe regime monitoring Suggested Baseline Configuration: KAMA Length : 20 Fast/Slow Periods : 15 / 50 ATR Period : 21 Base ATR Multiplier : 2.5 Adaptive Strength : 1.0 KNN Neighbors : 7 KNN Influence : 0.2 These suggested parameters should be used as a baseline; their effectiveness depends on the asset volatility, liquidity, and preferred entry frequency, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Excessive chop or overreaction : Increase KAMA Length, Slow Period, and ATR Period to reinforce regime filtering. Stops feel overly permissive : Reduce the Base ATR Multiplier to tighten invalidation boundaries. Frequent false regime shifts : Increase KNN Neighbors to demand stronger historical agreement. Delayed adaptation : Decrease KAMA Length and Fast Period to improve responsiveness during regime change. Adjustments should be incremental and evaluated over multiple market cycles rather than isolated sessions. Performance Characteristics High Effectiveness: Markets exhibiting sustained directional efficiency Instruments with recurring structural behavior Trend-oriented, risk-managed strategies Reduced Effectiveness: Highly erratic or event-driven price action Illiquid markets with unreliable volatility readings Integration Guidelines Confluence : Combine with BOSWaves structure or trend indicators Discipline : Follow adaptive stop behavior rather than forcing exits Risk Framing : Treat stops as adaptive boundaries, not forecasts Regime Awareness : Always interpret stop behavior within efficiency context Disclaimer Adaptive ML Trailing Stop is a professional-grade adaptive risk and regime management tool. It does not forecast price movement and does not guarantee profitability. Results depend on market conditions, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates structure, volatility, and contextual risk management.
Pine Script® indicator
by BOSWaves
2
Anurag Balanced 0DTE Scalper SPY QQQBalanced 0DTE Scalper 1. Purpose: A 0DTE options day trading indicator for SPY/QQQ on 5-minute charts with visual CALL/PUT entry and exit signals. 2. Trend Filter: Uses 15-minute EMA crossover (9/21) + ADX to confirm trend direction before taking trades. 3. Entry Logic: Triggers on pullback to 5m EMA9 with RSI/VWAP/MACD confirmation, bullish or bearish candle required. 4. Exit System: ATR-based trailing stop, dual targets (TP1 partial, TP2 full), time stop, and auto-exit at EOD. 5. Risk Controls: Max trades/day limit, cooldown period after exits, session filter (avoids first 10 min & last 15 min). 6. Visual Feedback: Dynamic stop/target lines, entry/exit labels with P&L, background color for trend bias and cooldown. 7. Dashboard: 16-row panel showing bias, ADX, regime, RSI, VWAP, position, bars held, cooldown status, strike suggestions, and DTE recommendation.
Pine Script® indicator
by anu_tarang
VIX Percentile OscillatorWhat is this script? This is a trading tool that helps you decide when to buy or sell options based on market volatility. Think of it as a "fear meter" for the stock market. What is VIX? VIX = Volatility Index (also called the "fear index") When VIX is HIGH → Market is scared/volatile → Options are EXPENSIVE When VIX is LOW → Market is calm → Options are CHEAP What does "Percentile" mean? Instead of just showing VIX price, this script shows where VIX is compared to history. Example: If VIX Percentile = 85% This means VIX is higher than 85% of all past readings Only 15% of the time was VIX higher than now Translation: Volatility is unusually HIGH The 5 Trading Zones The script divides the market into 5 zones: 🔴 EXTREME SELLING ZONE (90-100%) VIX is in the top 10% historically Action: AGGRESSIVELY SELL OPTIONS (collect big premiums) Market panic = expensive options = profit for sellers 🟠 SELLING ZONE (80-89%) VIX is elevated but not extreme Action: SELL OPTIONS (good premiums available) ⚪ NEUTRAL ZONE (20-79%) VIX is normal Action: WAIT or use other strategies 🟢 BUYING ZONE (10-19%) VIX is low Action: BUY OPTIONS (they're cheap) 🟢 EXTREME BUYING ZONE (0-9%) VIX is in the bottom 10% historically Action: AGGRESSIVELY BUY OPTIONS (bargain prices) Market complacency = cheap options = opportunity Understanding the Chart Main Line (Blue/Red/Green): Shows current VIX percentile Color changes based on zone Thick line = easy to see Histogram (Background bars): Red bars = above 50% (high volatility) Green bars = below 50% (low volatility) Purple Momentum Line: Shows if VIX is rising or falling Helps you catch trends early Background Colors: Light red/orange = Selling zones Light green = Buying zones Triangle Markers: Appear when entering new zones "EXTREME" label = strongest signals The Statistics Table (Top Right) VIX Price: Current VIX value (e.g., 16.50) Percentile: Where VIX ranks (0-100%) Z-Score: Statistical measure Above +2 or below -2 = extreme Red text = unusually high/low Momentum: Rate of change Red = rising (volatility increasing) Green = falling (volatility decreasing) Avg VIX: Average VIX over lookback period Current Zone: Which zone you're in right now Bars in Zone: How long you've been in this zone Simple Trading Rules FOR OPTION SELLERS (Premium Collectors): ✅ SELL when: Percentile > 80% (especially > 90%) High premiums available Examples: Sell covered calls, cash-secured puts, credit spreads FOR OPTION BUYERS (Hedgers/Speculators): ✅ BUY when: Percentile < 20% (especially < 10%) Cheap options available Examples: Buy protective puts, long calls, debit spreads Key Settings You Can Adjust Lookback Period (default: 252) How far back to compare (252 = 1 year of trading days) Longer = smoother, more stable Shorter = more sensitive to recent changes Smoothing Period (default: 3) Reduces noise/wiggling Higher = smoother line Lower = more responsive Zone Thresholds: Extreme Sell: 90% Sell: 80% Buy: 20% Extreme Buy: 10% You can customize these! Real-World Example Scenario: VIX Percentile jumps to 92% What this means: VIX is higher than 92% of all past readings Market is in panic mode Option premiums are INFLATED Trading Action: ✅ Sell covered calls on stocks you own ✅ Sell cash-secured puts on stocks you want to buy ✅ Sell credit spreads ❌ DON'T buy expensive options right now Why it works: When fear is extreme, it usually calms down eventually. You profit as premiums deflate. Important Reminders ⚠️ This is a TIMING tool, not a crystal ball It tells you WHEN premiums are expensive/cheap It doesn't tell you WHICH options to trade You still need proper risk management ⚠️ Works on ALL timeframes Daily charts = swing trading Weekly charts = position trading Intraday charts = day trading volatility ⚠️ Best for: Option sellers during high VIX (>80%) Option buyers during low VIX (<20%) Portfolio hedging decisions Volatility trading strategies Bottom Line: This script helps you buy options when they're cheap and sell options when they're expensive. It's like shopping for sales, but for volatility! DISCLAIMER: This information is provided for educational purposes only and should not be considered financial, investment, or trading advice. Please do boost if you like it. Happy Trading.
Pine Script® indicator
by kingshukghosh71
SPY Regime Hybrid StrategyThe SPY Regime Hybrid Strategy is a multi-factor system designed specifically for the S&P 500 ETF (SPY) on the 1-hour timeframe. It combines higher-timeframe trend filtering ("Regime Detection") with tactical entry signals based on mean reversion, momentum, and breakouts. The core philosophy of this strategy is that long entries are viable in most market conditions, while short entries are strictly gated behind confirmed Bear Regimes to account for the historical long bias of the equity markets. 1. Market Regime Detection (The "Filter") Before looking for trades, the strategy identifies the current market state using a dual-SMA approach. The background color of the chart changes to reflect this: Bull Regime (Green Background): Price > Fast SMA (20) > Slow SMA (50). Bear Regime (Red Background): Price < Fast SMA (20) < Slow SMA (50). Strong Trends: A darker background shade indicates a "Strong Trend," confirmed by the alignment of the 9 and 21 EMAs. 2. Volatility Filtering To avoid trading during dead markets or extreme chop, the strategy utilizes an ATR (Average True Range) filter. It will only take trades if volatility is normalized—neither too low (flat market) nor too high (extreme panic/euphoria). 3. Entry Logic The strategy employs a "Hybrid" approach, utilizing four distinct entry triggers for Longs and three for Shorts. Long Setups: Mean Reversion: Buys deep dips below the Bollinger Bands when RSI is oversold. Breakout: Buys when price crosses over the Bollinger Basis with healthy RSI. EMA Bounce: Buys pullbacks to the 21 EMA during strong uptrends. Momentum: Enters on MACD bullish crossovers during a Bull Regime. Short Setups (Restrictive): Note: Shorts are only taken if the Regime is explicitly Bearish. Mean Reversion: Sells rips above the upper Bollinger Band when RSI is overbought. Breakdown: Sells crosses below the Bollinger Basis. EMA Rejection: Sells rallies into the 21 EMA during strong downtrends. 4. Risk Management & Position Sizing Dynamic Stops/Targets: Stop Loss and Take Profit levels are not fixed dollar amounts; they expand and contract based on market volatility (ATR). Stop Loss: 2.5x ATR Take Profit: 4.0x ATR Trailing Stop: An active trailing stop (2.0x ATR) is used to lock in profits as the trend extends. Scaling In: The strategy is configured to "pyramid" (scale in) to winning positions up to 3 times, maximizing the payload of a strong trend. Daily Risk Cap: Includes a safety circuit breaker that halts trading if max daily trades are exceeded or if a max daily drawdown % is hit. Settings & Customization Timeframe: Optimized for the 1 Hour chart. Session Control: Includes an option to trade only during NY Regular Trading Hours (RTH) to avoid low-volume overnight signals. Inputs: Users can adjust the sensitivity of the Regime SMAs, RSI thresholds, and ATR multipliers via the settings panel.
Pine Script® strategy
by business_algopicks
ETH Dynamic Risk Strategy# ETH Dynamic Risk Strategy - Publication Description ## Overview The ETH Dynamic Risk Strategy is a systematic approach to accumulating Ethereum during bear markets and distributing during bull markets. It combines multiple risk indicators into a single composite metric (0-1 scale) that identifies optimal buying and selling zones based on market conditions. ## Key Features • **Multi-Component Risk Metric**: Combines 4 weighted indicators to assess market conditions • **Tiered Buy/Sell System**: 3 levels of buy signals (L1, L2, L3) and 3 levels of sell signals based on risk thresholds • **Configurable Filters**: Optional buy filters to reduce signal frequency by 30-50% • **Visual Risk Zones**: Color-coded risk metric plot with clear threshold lines • **Comprehensive Dashboard**: Real-time statistics including position size, P/L, and component scores ## How It Works ### Risk Components (Configurable Weights) 1. **Log Return from ATH** (Default: 35%) - Tracks drawdown from all-time high over lookback period - Deep drawdowns (-70% to -90%) = low risk / buying opportunity - Near ATH (0% to -20%) = high risk / selling opportunity 2. **ETH/BTC Ratio** (Default: 25%) - Measures ETH strength relative to Bitcoin - Below historical average = ETH undervalued = low risk - Above historical average = ETH overvalued = high risk 3. **Volatility Regime** (Default: 20%) - Compares current volatility to long-term average - Compressed volatility at lows = opportunity - Expanded volatility at highs = danger 4. **Trend Strength** (Default: 20%) - Uses multiple EMA alignment and slope analysis - Strong downtrends = low risk scores - Strong uptrends = high risk scores ### Trading Logic **Buy Signals:** - L1: Risk ≤ 0.30 → Buy $100 (default) - L2: Risk ≤ 0.20 → Buy $250 total - L3: Risk ≤ 0.10 → Buy $450 total **Sell Signals (Sequential):** - L1: Risk ≥ 0.75 → Sell 25% of position - L2: Risk ≥ 0.85 → Sell 35% of remaining - L3: Risk ≥ 0.95 → Sell 40% of remaining **Buy Filters (Optional):** - Minimum days between buys (prevents clustering) - Minimum risk drop required (ensures falling risk) - Toggle on/off to compare performance ## Settings Guide ### Risk Components Toggle individual components on/off and adjust their weights. Total weight is automatically normalized. Experiment with different combinations to match your market view. ### Advanced Settings - ATH Lookback: How far back to look for all-time highs (500-2000 recommended) - Volatility Period: Window for volatility calculations (40-100 recommended) - ETH/BTC MA Period: Moving average for ratio comparison (100-300 recommended) - Trend Period: Base period for trend calculations (50-150 recommended) ### Trading Thresholds Customize buy/sell trigger points and position sizes. Lower buy thresholds = more aggressive accumulation. Higher sell thresholds = holding longer into bull markets. ### Buy Filters - Enable/disable filtering system - Min Days Between Buys: Spacing between purchases (1-3 recommended) - Min Risk Drop: How much risk must fall (-0.001 to -0.01 range) ## Best Practices • **Timeframe**: Works best on daily (1D) and 3-day (3D) charts • **Initial Capital**: Set based on your DCA budget (default $10,000) • **Backtest First**: Test different parameter combinations on historical data • **Position Sizing**: Adjust buy amounts to match your risk tolerance • **Monitor Filters**: Check "Filtered Buys" stat to ensure filter isn't too strict ## Use Cases - Long-term ETH accumulation strategy - Systematic DCA with market-adaptive buying - Risk-based portfolio rebalancing - Educational tool for understanding crypto market cycles ## Disclaimer This strategy is for educational purposes only. Past performance does not guarantee future results. Cryptocurrency trading involves substantial risk. The strategy uses historical price action and technical indicators which may not predict future movements. Always do your own research and never invest more than you can afford to lose. ## Credits Strategy concept and development by nakphanan with assistance from Claude AI (Anthropic). Built using Pine Script v5....Mostly from Claude AI!!! ## Version History v7.0 - Initial release with 4-component risk metric, tiered trading system, and optional buy filters
Pine Script® strategy
by nakphanan
BTC - RVPM: Run Velocity & Probability MapBTC – RVPM: Run Velocity & Probability Map | RM Strategic Context: Understanding Price Runs A "Price Run" (also known as a streak or consecutive sessions) is a foundational concept in time-series analysis that measures the duration of a price movement without a significant counter-signal. While common indicators like RSI or MACD measure magnitude or momentum, they often ignore the Persistence of the trend. Historically, markets move through cycles of expansion and mean-reversion. A Price Run represents a period of "Unidirectional Flow" — a fingerprint of institutional accumulation or systematic distribution. However, standard "run-counting" is often too simplistic for the volatile crypto markets. What Makes RVPM Special? Most community run-counters are binary; they simply tell you if X days were green or red. The RVPM distinguishes itself through three proprietary layers: • The Intensity Filter: It doesnt just count days; it counts effort . By ignoring "flat" days through a percentage-return threshold, it filters out noise that would otherwise skew the statistical probability. • Dynamic Benchmarking: Instead of using an arbitrary number (like "7 days"), the RVPM looks back at 200 bars of history to find the local "Persistence Ceiling." It adapts to the current volatility regime of Bitcoin. • The Velocity Score: It transform simple counts into a -100 to +100 histogram, allowing traders to see momentum "decaying" (e.g., dropping from 90 to 70) even if the price continues to rise. The 3 Pillars of the Engine 1. Velocity Mapping (Persistence Histogram) The histogram calculates the density of directional effort within a defined window. It functions as the "Pulse" of the trend, mapping market behavior into three distinct zones: • High Velocity Zone (> 80 or < -80): Institutional Expansion. This identifies a "clean" move where one side of the market possesses total structural control. In this zone, the trend is efficient, and counter-signals are immediately absorbed. • The Neutral Zone (Near Zero): Momentum Equilibrium. When the histogram fluctuates near the zero line, the market is in a "Recharge Phase." Neither bulls nor bears are achieving persistent dominance. Tactically, this is the "Waiting Room" where range-bound chop is likely, and traders should wait for a new "Expansion" spike before committing. • Velocity Decay: The Exhaustion Warning. Velocity Decay occurs when the indicator moves from an extreme (e.g., +95) back toward the zero line (e.g., +50) while the price is still rising. This is a "Persistence Divergence." It tells you that while the trend is still moving, the consistency of the bars is fragmenting. The "fuel" is being depleted, and the trend is transitioning from an "Institutional Expansion" into a "Speculative Exhaustion." 2. n-of-m Consistency (The Pips) The "Pips" (Circles) mark when a specific consistency threshold is met (e.g., 5 out of 7 bars in one direction). This identifies "Leaky Trends" that are still statistically dominated by one side of the ledger. 3. Statistical Exhaustion (The Arrows) The Dark Red (Top) and Dark Green (Bottom) triangles represent the engine's "Mean-Reversion Signal." The calculation is based on a Relative Maximum Streak (RMS) logic: the script tracks the current linear, consecutive bar count (ignoring bars that fail the Intensity Filter) and continuously benchmarks this against the highest streak recorded over the last 200 bars ( ta.highest(streak, 200) ). The triangles are triggered specifically when the current run reaches 80% of this historical record (the "Anomaly Threshold"). Mathematically, this identifies a move that is statistically pushing against its half-year limit. By using this dynamic threshold rather than a fixed number, the "Extreme" signal automatically tightens during low-volatility regimes and expands during high-volatility expansions, ensuring the signal only appears when the "statistical rubber band" is at a true breaking point. Operational Interface: The RVPM Dashboard The Status Dashboard (Top Right) serves as a real-time monitor for momentum health, providing a clean summary of the underlying persistence data: • Current STREAK: The active, consecutive count of bars meeting the Intensity Filter. It is dynamically color-coded (Cyan/Bullish or Red/Bearish) to provide an instant read on trend seniority. • WINDOW Consistency: Measures the Momentum Density (the n-of-m value). A value of "6" in a "7-bar" window indicates a high-conviction regime that is successfully absorbing pullbacks without losing its primary trajectory. Tactical Playbook: The Mean-Reversion Rule Price action typically follows a "Rubber Band" effect. The further it is stretched without a break, the more "unstable" the trend becomes as the pool of available buyers or sellers is depleted. • The Setup: Wait for the Triangle Arrows to appear. • The Logic: The move has reached a 200-day anomaly. A "Liquidity Vacuum" is forming on the opposite side. • The Action: This is a high-probability Mean-Reversion signal. It is a tactical time to take profits or look for a sharp snap-back move toward the 20-period moving average or the "Institutional Mean." Settings & Parameters • Window Length (m): The lookback window used to calculate the Velocity Score. • Required Days (n): The minimum number of directional bars needed within the window to trigger a "Consistency Pip." • Intensity Filter (%): The minimum % change required for a bar to be counted toward a run. • Lookback Period: The historical window (Default: 200 bars) used to calculate the "Maximum Streak" records for exhaustion alerts. Timeframe Recommendation The RVPM is best viewed on the Daily (1D) timeframe. This filters out intraday noise and provides the most reliable statistical mapping for macro exhaustion points. Credits & Verification The RVPM logic aligns with institutional "Persistence" models and Glassnode's Price Stretch benchmarks. By benchmarking against a rolling 200-day window, the indicator automatically adapts to changing market volatility. Risk Disclaimer & No Financial Advice The information, data, and analytical models provided in this publication are for educational and informational purposes only. This script does not constitute financial, investment, or trading advice. Trading cryptocurrencies and other financial instruments carries a high degree of risk, and statistical anomalies or "Extreme Runs" do not guarantee future price action. Past performance is never indicative of future results. Every trader is responsible for their own due diligence and risk management. Rob Maths and the associated entities are not liable for any financial losses incurred through the use of this tool. Always consult with a certified financial professional before making significant investment decisions. Tags: bitcoin, btc, persistence, streaks, price-runs, momentum, mean-reversion, exhaustion, Rob Maths
Pine Script® indicator
by Rob_Maths
Auto Channel Indicator📘 Indicator Description: Auto Channel IndicatorThe Auto Channel Indicator is an advanced technical analysis tool based on the statistical concept of Linear Regression. It is designed to automatically identify the prevailing market trend and define the volatility boundaries of price action over a specific lookback period.1. Core ComponentsThe Median Line (Linear Regression Line): Calculated using the "Least Squares" method ($y = mx + c$). This line represents the "fair value" or the mathematical average path of the price. A rising slope indicates a Bullish Trend, while a falling slope indicates a Bearish Trend.Upper & Lower Borders (Precision Deviation): Unlike standard channels that use fixed standard deviations, this indicator uses Maximum Deviation. It identifies the highest peak and lowest valley relative to the median line within the last 300 candles, ensuring that the entire recent price history is contained within the channel.Dynamic Trend Coloring: The channel background automatically shifts color based on the slope. A green tint signifies an upward momentum, while a red tint signifies downward pressure, allowing for instant visual trend recognition.2. Key Features & Settings300-Period Lookback: Optimized for a broad view of the market, reducing "market noise" and focusing on significant structural moves.Real-Time Recalculation: The channel is dynamic; it updates with every new candle to reflect the most current price structure.Extended Projection: The lines can be extended into the future (Right Extension), acting as predictive support and resistance levels.Touch & Breakout Alerts: Integrated alert conditions trigger when the price makes contact with the outer boundaries, signaling potential reversals or trend exhaustions.3. Trading StrategiesMean Reversion: Traders often look for "Short" opportunities at the upper border and "Long" opportunities at the lower border, expecting the price to return to the Median Line.Trend Following: As long as the price remains within the channel and the slope is consistent, the trend is considered healthy.Breakout Trading: A candle closing outside the upper or lower boundary suggests a significant shift in market volatility and the potential start of a new, parabolic trend.
Pine Script® indicator
by abdulrahmanalrajeh1
TwinSmooth ATR Bands | QuantEdgeBTwinSmooth ATR Bands | QuantEdgeB 🔍 Overview TwinSmooth ATR Bands | QuantEdgeB is a dual-smoothing, ATR-adaptive trend filter that blends two complementary smoothing engines into a single baseline, then builds dynamic ATR bands around it to detect decisive breakouts. When price closes above the upper band it triggers a Long regime; when it closes below the lower band it flips to Short—otherwise it stays neutral. The script enhances clarity with regime-colored candles, an active-band fill, and an optional on-chart backtest table. ✨ Key Features 1. 🧠 Twin-Smooth Baseline (Dual Engine Blend) - Computes two separate smoothed baselines (a slower “smooth” leg + a faster “responsive” leg). - Blends them into a single midpoint baseline for balanced stability + speed. - Applies an extra EMA smoothing pass to produce a clean trend_base. 2. 📏 ATR Volatility Bands - Builds upper/lower bands using ATR × multiplier around the trend_base. - Bands expand in volatile conditions and contract when markets quiet down—auto-adapting without manual tweaks. 3. ⚡ Clear Breakout Regime Logic - Long when close > upperBand. - Short when close < lowerBand. - Neutral otherwise (no forced signals inside the band zone). 4. 🎨 Visual Clarity - Plots only the active band (lower band in long regime, upper band in short regime). - Fills between active band and price for instant regime context. - Colors candles to match the current state (bullish / bearish / neutral). - Multiple color palettes + transparency control. 💼 Use Cases • Trend Confirmation Filter: Use the regime as a higher-confidence trend gate for entries from other indicators. • Breakout/Breakdown Trigger: Trade closes outside ATR bands to catch momentum expansions. • Volatility-Aware Stops/Targets: Bands naturally reflect volatility, making them useful as adaptive reference levels. • Multi-Timeframe Alignment: Confirm higher-timeframe regime before executing on lower timeframes. 🎯 For Who • Trend Traders who want clean regime shifts without constant whipsaw. • Breakout Traders who prefer confirmation via ATR expansion rather than raw MA crossovers. • System Builders needing a simple, robust “state engine” (Long / Short / Neutral) to plug into larger strategies. • Analysts who want quick on-chart validation with a backtest table. ⚙️ Default Settings • SMMA Length (Base Smooth Leg): 24 • TEMA Length (Base Responsive Leg): 8 • EMA Extra Smoothing: 14 • ATR Length: 14 • ATR Multiplier: 1.1 • Color Mode: Alpha • Color Transparency: 30 • Backtest Table: On (toggleable) • Backtest Start Date: 09 Oct 2017 • Labels: Off by default 📌 Conclusion TwinSmooth ATR Bands | QuantEdgeB merges a dual-speed smoothing core into a single trend baseline, then wraps it with ATR-based bands to deliver clean, volatility-adjusted breakout signals. With regime coloring, active-band plotting, and optional backtest stats, it’s a compact, readable tool for spotting momentum shifts and trend continuation across any market and timeframe. 🔹 Disclaimer: Past performance is not indicative of future results. Always backtest and align settings with your risk tolerance and objectives before live trading. 🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Pine Script® indicator
by QuantEdgeB
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