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Trailingstop

Vector Logic: Macro Regime SwingVector Logic: Macro Regime Swing 🦅 Most standard moving average strategies fail because they cannot tell the difference between a true trending market and a sideways "chop zone" (accumulation/distribution). They constantly fire false 'BUY' and 'SELL' signals while the asset is just moving sideways, leading to a slow bleed of your capital. The Vector Logic: Macro Regime Swing indicator was built to solve exactly that. Instead of just looking for trends, this script mathematically detects when a stock has fallen asleep, throws up a visual "Trap," and sits safely on the sidelines until a real breakout happens. ⚙️ How the Engine Works This indicator combines four engines/logics to confirm a trade: 1. The Macro Trap (The Purple Lines) 🟪 The script constantly monitors the last 60 days of price action. If the asset goes just 7 days without making a new 60-day high or low, the indicator declares the stock is "chopping." • It instantly draws a faint purple ceiling and floor on your chart. • While the price is trapped inside this purple chop zone, all trades are strictly blocked. You sit safely on the sidelines. 2. The Trend Engine (The Blue & Orange Lines) 🌊 For a trend to be valid, the script requires structural alignment. We use a classic, robust Moving Average crossover: • Fast Trend: 20-period EMA (Cyan) • Slow Trend: 50-period EMA (Orange) • The price must be aggressively crossing the 20 EMA in the direction of the trend to trigger an entry. 3. The Volume Consensus 📊 A breakout without volume is a trap. The script monitors On-Balance-Volume (OBV) in the background. A trade will only fire if institutional volume is actively pushing the price in your direction. 4. The Momentum Exit (The Yellow Dotted Line) 🟡 Getting into a trade is only half the battle; keeping your profits is the other. Instead of waiting for the price to crash all the way back down to the 20 or 50 EMA, this script uses a rapid 10-period EMA (the dotted yellow line) as a tight trailing stop. The moment a daily candle closes on the wrong side of this yellow line, the script ruthlessly exits the trade to lock in your momentum profits. ⏱️ Adapting for Smaller Timeframes By default, the VL Macro Regime is tuned for Daily (1D) swing trading. However, the engine is fully dynamic. When you drop down to intraday timeframes (like 1H, 15m, or 5m), keep in mind that "Days" in the settings menu translates directly to "Candles" or "Bars". If you want to trap a true macro-level chop zone on a 15-minute chart, you should increase your Historical Range Lookback (e.g., 100 to 200 bars) to capture the overarching structure of the week. For highly aggressive day trading, you can also tighten the Trend MAs (e.g., 9 and 21) to catch rapid intraday momentum breakouts before the volume fades. 💡 How to Read the Chart • BUY / SELL Labels: A clean, confirmed breakout. The trend is aligned, volume is backing it up, and the stock has escaped the purple Macro Trap. • EXIT Circles: The tiny grey circles tell you exactly when the price closed across the yellow 10 EMA trailing stop. Time to take your profits and step away. • TP Flags: Subtle green flags suggest a standard 5% partial Take-Profit zone. • The Dashboard HUD: Located in the top right, this panel gives you a real-time pulse check on the current trade status, volatility state, and volume trend. 🛠️ Built-In Failsafes • Zero Repainting: All signals are strictly hardcoded to the candle close (barstate.isconfirmed). What you see on a closed daily candle is permanently locked in history. No flickering, no vanishing signals. • Glitch Protection: Automatically untethers and resets itself if it encounters broken historical data or extreme anomalies (like leveraged ETF reverse splits). Disclaimer: This script is for educational and informational purposes only. It does not constitute financial advice. Always backtest strategies and manage your own risk.
Pine Script® 인디케이터
Vector_Logic_Labs의
Premium Price Action [Alpha Extract]A sophisticated trend-following rail system that combines dual-lookback price averaging with adaptive ATR-based trailing levels for clean trend identification and momentum-sensitive visual feedback. Utilizing staircase rail logic with dynamic ribbon visualization and strength-modulated transparency, this indicator delivers institutional-grade trend detection with minimal whipsaw through intelligent rail adaptation. The system's multi-lookback baseline construction combined with ATR-scaled distance creates robust trend rails that only flip on genuine structural changes while maintaining visual clarity through glow effects and regime-based background coloring. 🔶 Advanced Dual-Lookback Baseline Framework Implements sophisticated baseline calculation using two configurable lookback periods to sample recent price history at different intervals, averaging results and applying dual smoothing for stable trend reference. The system retrieves close prices from first lookback (default 12 bars) and second lookback (default 27 bars), calculates their average, applies SMA smoothing, then EMA smoothing for ultra-clean baseline resistant to short-term noise while maintaining responsiveness to genuine trend shifts. // Dual-Lookback Baseline Construction Close_1 = close Close_2 = close Close_Avg = (Close_1 + Close_2) / 2.0 Baseline_Raw = ta.sma(Close_Avg, SMA_Length) Baseline = ta.ema(Baseline_Raw, Smooth_Length) 🔶 Adaptive Trailing Rail Architecture Features intelligent rail calculation that trails price using ATR-scaled distance from baseline with ratcheting logic preventing premature reversals. The system calculates upper rail (baseline + ATR × multiplier) and lower rail (baseline - ATR × multiplier), implements adaptive trailing where bullish rail only rises or holds while bearish rail only falls or holds, and transitions rails only when price violates opposite rail creating clean staircase pattern. // Adaptive Rail Logic Upper_Rail = Baseline + ATR * Rail_Multiplier Lower_Rail = Baseline - ATR * Rail_Multiplier // Ratcheting Behavior Bull_Rail = close > Bull_Rail ? max(Lower_Rail, Bull_Rail ) : Lower_Rail Bear_Rail = close < Bear_Rail ? min(Upper_Rail, Bear_Rail ) : Upper_Rail // Trend Determination Trend = close < Bull_Rail ? -1 : close > Bear_Rail ? 1 : Trend 🔶 Staircase Step-Line Visualization Implements stepline plot style creating distinctive staircase appearance that visually emphasizes trend persistence and makes rail level changes instantly recognizable. The system uses plot.style_stepline rendering that draws horizontal segments at each rail level with vertical connections only at transition points, producing clean geometric pattern that distinguishes this rail system from curved moving averages or bands. 🔶 Dynamic Strength-Based Transparency Provides sophisticated transparency modulation where background and ribbon opacity adjust based on momentum strength relative to ATR volatility. The system calculates momentum as price distance from baseline, normalizes by ATR to produce 0-1 strength score, and reduces transparency (increases intensity) as strength increases, creating visual feedback where strong trends display vivid colors and weak trends show muted tones. 🔶 Multi-Layer Glow Effect System Features triple-layer rail rendering with progressively wider and more transparent outer layers creating luminous glow effect emphasizing trend rail. The system plots core rail at specified width with full color intensity, adds inner glow layer at +2 width with moderate transparency, and outer glow at +4 width with higher transparency, producing visual depth and making rail instantly recognizable without cluttering chart space. 🔶 Adaptive Ribbon Visualization Creates ATR-scaled ribbon extending below bullish rail or above bearish rail with width proportional to current volatility and transparency modulated by trend strength. The system calculates ribbon size using ATR × ribbon multiplier, positions ribbon adjacent to active rail, and applies dynamic transparency that intensifies during strong momentum creating intuitive visual representation of trend conviction and volatility context. 🔶 Regime Background Highlighting Implements subtle background wash using trend color with strength-adjusted transparency providing full-chart regime awareness without obscuring price action. The system applies bullish or bearish background color with base transparency that decreases (color intensifies) as momentum strength increases, creating gradient effect where powerful trends display more prominent backgrounds while weak trends maintain subtle presence. 🔶 Intelligent Flip Detection Logic Generates trend reversal signals only when price violates opposite rail with confirmation, preventing false signals during normal retracements. The system detects bullish flip when previous trend bearish and close crosses above bearish rail, detects bearish flip when previous trend bullish and close crosses below bullish rail, and places compact BULL/BEAR labels at ribbon edges marking exact reversal bars for clear visual confirmation. 🔶 Comprehensive Visual Integration Provides multi-dimensional trend visualization through colored rail with glow effects, ATR-scaled ribbons, regime backgrounds, trend-synchronized candle plotting, and optional chart candle coloring. The system enables selective display toggling for each visual component while maintaining consistent color scheme and strength-based intensity across all elements, allowing customization from minimal (rail only) to comprehensive (all features) presentation. 🔶 Baseline Reference System Includes optional baseline plot showing underlying smoothed dual-lookback average serving as neutral reference level and trend bias indicator. The system displays baseline with neutral color at reduced opacity, enabling traders to assess whether price trades above baseline (inherent bullish bias) or below baseline (inherent bearish bias) independent of current rail trend state for confluence analysis. 🔶 Performance Optimization Framework Employs efficient calculation methods with optimized rail ratcheting logic, streamlined strength calculations, and intelligent plot rendering that only processes active visual elements. The system includes smart state tracking for trend persistence, minimal recalculation overhead through nz() functions and conditional logic, and smooth visual updates maintaining consistent performance across extended historical periods. 🔶 Why Choose Premium Price Action ? This indicator delivers sophisticated trend-following analysis through adaptive rail methodology with dual-lookback baseline construction and ATR-scaled distance. Unlike traditional moving average systems prone to whipsaw during choppy conditions, the ratcheting rail logic with opposite-rail violation requirements creates definitive trend states that persist through normal retracements. The system's staircase visualization instantly communicates trend persistence, strength-modulated transparency provides conviction feedback, and comprehensive visual integration enables complete trend assessment without switching between multiple indicators. Perfect for swing traders and position managers seeking clear trend identification with minimal false signals across cryptocurrency, forex, and equity markets where the adaptive rails naturally adjust to varying volatility regimes while maintaining consistent signal quality.
Pine Script® 인디케이터
AlphaExtract의
Neighboring Trailing Stop [LuxAlgo]The Neighboring Trailing Stop indicator provides a dynamic, data-driven trailing stop-loss mechanism by analyzing the local distribution of prices relative to the current market position. It uses a "k-nearest neighbors" approach to identify support and resistance levels based on historical price clusters, offering a unique alternative to standard volatility-based stops like ATR. 🔶 USAGE The indicator helps traders identify trend reversals and manage open positions by providing a protective stop that adjusts based on where price has historically "congested" near the current level. 🔹 Trend Interpretation Bullish Trend: When the stop-loss line is below the price (colored green), the market is in a bullish state. The trailing stop will only move upward, securing profits as the price creates new local distribution highs. Bearish Trend: When the stop-loss line is above the price (colored red), the market is in a bearish state. The trailing stop will only move downward, following the price as it explores lower distribution zones. 🔹 Signals The script plots "B" (Buy) and "S" (Sell) labels at the point of trend reversals. These occurs when the price breaks through the current "neighboring" distribution boundary, suggesting a shift in the local market structure. 🔶 DETAILS The methodology behind this indicator is rooted in non-parametric statistics and price distribution analysis rather than simple moving averages or volatility. 🔹 Price Distribution & K-Neighbors The script maintains a "Historical Buffer" of recent prices in a sorted array. For every new bar, it identifies the position of the current price within this sorted distribution. It then looks at k neighbors above the price and k neighbors below the price. 🔹 Percentile Bands Within these local "neighborhoods" of price data, the script calculates a specific percentile. This allows the indicator to ignore outliers and focus on where the bulk of historical price action occurred near the current level. If the price moves into a "discovery" phase where it exceeds the range of its historical neighbors, a trend reversal is triggered. 🔹 Trailing Logic The resulting levels are smoothed via an SMA to prevent erratic jumps. The trailing stop is "ratcheted"—meaning it can only move in the direction of the trend (up for long, down for short)—ensuring that realized gains are protected even if the distribution neighborhood expands. 🔶 SETTINGS Historical Buffer (Bars): Determines how many historical price points are kept in the distribution memory. A larger buffer considers more history, leading to more stable but slower-reacting levels. Neighboring Range (K): The number of price points to analyze immediately above and below the current price. Smaller values make the stop more sensitive to local price changes. Percentile: Controls the depth within the neighborhood used for the stop level. A higher percentile (e.g., 90) places the stop further away from the current price. Smoothing: Applies a Simple Moving Average (SMA) to the raw distribution levels to create a smoother trailing line.
Pine Script® 인디케이터
LuxAlgo의
3
Evasive SuperTrend [LuxAlgo]The Evasive SuperTrend indicator provides a modernized approach to trend following by implementing a unique "evasive" logic designed to reduce premature trend flips during periods of high market noise and consolidation. Unlike the traditional SuperTrend which can only move closer to the price (or stay flat), this tool identifies when price action gets too close to the volatility band and "evades" the price by pushing the band further away, effectively giving the current trend more breathing room. 🔶 USAGE The indicator can be used similarly to a standard SuperTrend to identify trend direction and potential trailing stop levels, but with added intelligence regarding market noise. 🔹 Identifying Trend and Noise Solid Line: Indicates a standard trend phase where the price is maintaining a healthy distance from the volatility band. Dotted Line: Indicates the "Evasive" mode is active. This occurs when price action enters a "Noise Zone," causing the indicator to proactively push the band away to prevent a false breakout. Gradient Fill: The background fill provides a visual heat map of the trend strength relative to the source price, with higher transparency indicating proximity to a potential trend flip. 🔹 Trading Signals Users can look for "BULL" and "BEAR" labels which mark the points where price successfully penetrates the evasive band. Because the band actively retreats during noise, a trend flip often carries more significance as it requires price to overcome an adaptive volatility threshold. 🔶 DETAILS The core innovation of this script is the "Noise Avoidance Logic." Standard SuperTrends are strictly monotonic (they only move up in a bull trend and down in a bear trend). This often leads to "whipsaws" where a minor price spike touches the band and flips the trend unnecessarily. The Evasive SuperTrend calculates a Noise Threshold . If the distance between the price and the band is less than this threshold (calculated in ATR units), the band is pushed back by a specified Expansion Alpha . This allows the trend to persist through choppy sideways movement that would otherwise trigger a reversal. 🔶 SETTINGS 🔹 Supertrend Settings ATR Length: Determines the lookback period for the Average True Range calculation used to set the band distance. Base Multiplier: Sets the initial distance of the band from the price. Higher values result in fewer, longer-term trend signals. 🔹 Noise Avoidance Logic Noise Threshold (xATR): Defines the "danger zone" around the band. If price enters this ATR-based range, the band begins to evade. Expansion Alpha (xATR): The distance the band moves away from the price when noise is detected. Higher values make the indicator more "stubborn" against trend changes. 🔹 Visualization Show Signal Labels: Toggles the visibility of the BULL and BEAR trend change labels. Show Gradient Fills: Toggles the dynamic background coloring between the price and the band.
Pine Script® 인디케이터
LuxAlgo의
5
SuperTrend Recovery [LuxAlgo]The SuperTrend Recovery indicator provides a modified version of the classic SuperTrend algorithm that incorporates a dynamic "recovery" mechanism designed to adjust the trailing stop when price action moves significantly against the current trend. This script aims to help traders manage volatile environments by tightening the trend band when the market experiences deep pullbacks without triggering a full trend reversal. 🔶 USAGE The indicator can be used similarly to a standard SuperTrend to identify market direction and potential trailing stop-loss levels. However, the unique recovery logic allows for a more adaptive response to price deviations. 🔹 Trend Detection When the price is above the band, the indicator signals a BULL trend. When the price is below the band, the indicator signals a BEAR trend. Trend switches are marked with "BULL" or "BEAR" labels and a colored circle at the switch point. 🔹 Recovery Mechanism In a standard SuperTrend, the band stays flat if price moves against the trend (but doesn't break it). In the SuperTrend Recovery version, if the price drops significantly below the "Switch Price" (for a bull trend) or rises above it (for a bear trend), the band begins to move toward the price based on the Recovery Alpha . This allows the trailing stop to "catch up" during high-volatility pullbacks, potentially securing a faster exit if the recovery fails. 🔶 DETAILS The core of this indicator lies in its two-stage calculation: the Base SuperTrend and the Recovery Logic. 🔹 Base Logic The indicator calculates a base upper and lower band using the Average True Range (ATR) multiplied by a user-defined factor. Under normal conditions, the band follows the classic rules: it can only move up during a bull trend and only down during a bear trend. 🔹 Recovery Logic When price enters a "loss" state relative to the price where the trend initially started (the Switch Price), the script checks if the deviation exceeds the Recovery Threshold . If the threshold is met, the band is calculated as an exponential moving average (EMA) of the current price and the previous band value, weighted by the Recovery Alpha : targetBand = alpha * close + (1.0 - alpha) * prevBand This creates a "tapering" effect where the band aggressively tightens toward the price during deep retracements, helping to mitigate drawdown by providing an earlier exit signal compared to the standard static band. 🔶 SETTINGS 🔹 Supertrend Settings ATR Length : The lookback period used to calculate market volatility. Base Multiplier : The factor applied to the ATR to determine the distance of the band from the price. 🔹 Recovery Logic Recovery Alpha (%) : Determines how quickly the band adjusts toward the price when the recovery logic is active. Higher values make the band more reactive. Recovery Threshold (xATR) : The distance (in ATR units) the price must deviate from the switch price before the recovery mechanism activates. 🔹 Visualization Show Gradient Fills : Toggles the background gradient between the price (source) and the SuperTrend band. Show Signal Labels : Toggles the "BULL" and "BEAR" labels at trend reversal points.
Pine Script® 인디케이터
LuxAlgo의
5
Adaptive Trend Sabre [BOSWaves]Adaptive Trend Sabre - Dynamic Trailing Stop System with Tension-Based Support and Resistance Detection Overview Adaptive Trend Sabre is a tension-aware trend following system that tracks directional price movement through adaptive trailing stops, where band positioning dynamically adjusts based on price tension relative to the trend baseline and automatically generates support and resistance levels when extreme tension conditions are released. Instead of relying on fixed trailing stop distances or static support/resistance plotting, trend state, band positioning, and level creation are determined through ATR-normalized tension measurement, elastic snap detection, and dynamic level management that maintains only the most relevant price zones. This creates dynamic trend boundaries that reflect actual price tension rather than arbitrary technical levels - tightening during low-tension conditions when trend conviction is high, maintaining distance during stretched conditions when directional stress builds, and capturing snap levels at extremes to mark future support and resistance zones where price demonstrated significant elasticity. Price is therefore evaluated relative to bands that adapt to tension dynamics and historically significant stress-release points rather than conventional fixed-distance trails. Conceptual Framework Adaptive Trend Sabre is founded on the principle that meaningful trend signals emerge when price maintains position relative to adaptive trailing stops that adjust based on tension dynamics, while significant support and resistance zones form at locations where extreme price tension is released back toward equilibrium. Traditional trailing stop methods use fixed ATR multipliers that ignore the underlying tension dynamics and stress accumulation that occur during extended moves. This framework replaces static-distance logic with tension-driven band construction informed by actual price elasticity and snap behavior relative to the trend baseline. Three core principles guide the design: Trend direction should be determined by adaptive trailing stop breaches that adjust to maintain optimal distance from the moving average baseline. Support and resistance levels should form automatically at points where extreme price tension releases, marking zones of proven price elasticity. Tension measurement reveals whether price is operating within normal bounds or building stress that may lead to reversal or continuation acceleration. This shifts trend analysis from fixed-distance trailing stops into adaptive, tension-anchored confidence boundaries with intelligent level detection. Theoretical Foundation The indicator combines configurable moving average smoothing, Average True Range volatility measurement, tension-based trailing stop logic, and snap-release level detection methodology. A user-selected MA type (HMA, EMA, SMA, WMA, DEMA, TEMA, VWMA, ALMA, LSMA) provides the trend baseline for directional reference, while ATR offers volatility-normalized scaling for distance calculation and tension measurement. Tension detection identifies when price has stretched beyond threshold distances relative to the baseline, tracking extremes and triggering level creation upon release. The trailing stop advances in favorable trend direction but never retreats, creating a dynamic risk boundary. Four internal systems operate in tandem: Trend Baseline Engine : Computes user-selected moving average of price for directional reference and tension calculation anchor point. Volatility Measurement System : Calculates 14-period ATR to provide adaptive scaling that normalizes distance and tension across varying market conditions. Adaptive Trailing Logic : Maintains trailing stop at configurable ATR distance from baseline, advancing in trend direction but never reversing until price crosses the trail. Snap-Level Detection System : Monitors tension thresholds, captures price extremes during stretched conditions, and creates support/resistance lines at release points with automatic extension and break management. This design allows trend boundaries to reflect actual price behavior dynamics rather than reacting mechanically to fixed distance rules. How It Works Adaptive Trend Sabre evaluates price through a sequence of tension-aware processes: Baseline Calculation : Selected MA type smoothing of close price creates a directional trend reference that filters short-term noise. ATR Distance Scaling : 14-period ATR calculation multiplied by trail factor determines optimal trailing stop distance from baseline. Trail Positioning : In bullish trend, trail sits below MA at ATR distance; in bearish trend, trail sits above MA at ATR distance. Trail Advancement Logic : Bullish trail can only rise (never fall); bearish trail can only fall (never rise), creating unidirectional risk boundary. Trend State Switches : Price closing below bullish trail triggers bearish state switch; price closing above bearish trail triggers bullish state switch. Tension Measurement : Distance between close and MA baseline divided by ATR creates normalized tension reading showing price elasticity. Snap Detection : When absolute tension exceeds snap threshold (default 2.0 ATR), system enters "snapped" state and begins tracking price extremes. Extreme Capture : During bullish snap (tension > +2.0), highest high is recorded; during bearish snap (tension < -2.0), lowest low is recorded. Release Identification : When tension returns below half the snap threshold after being snapped, system registers a release event at the captured extreme. Level Creation : Release of bullish snap creates resistance line at captured high; release of bearish snap creates support line at captured low. Level Management : Lines extend forward in time and are automatically deleted when price closes beyond buffer distance (0.25 ATR), maintaining only 8 most recent levels. Retest Detection : Price touching trail or snap levels after cooldown period marks retests, with minimum bar spacing preventing excessive plotting. Together, these elements form a continuously updating trend framework anchored in tension dynamics and elastic price behavior. Interpretation Adaptive Trend Sabre should be interpreted as tension-anchored trend boundaries with automated support/resistance detection: Bullish Trend State (Green) : Established when price remains above adaptive trailing stop, indicating sustained upward momentum with trail acting as dynamic support. Bearish Trend State (Red) : Established when price remains below adaptive trailing stop, signaling sustained downward momentum with trail acting as dynamic resistance. Elastic Cloud : Visual gradient zone displays between MA baseline and trailing stop, with fill intensity reflecting current tension level - lighter when tension is low, darker when tension builds. Tension Dynamics : High tension (>2.0 ATR) indicates price stretched far from baseline; low tension (<1.0 ATR) indicates price operating near equilibrium. ◆ Buy Signals : Green diamond markers appear when trend state switches from bearish to bullish at trail crossover, indicating momentum shift to upside. ◆ Sell Signals : Red diamond markers appear when trend state switches from bullish to bearish at trail crossunder, signaling momentum shift to downside. ✦ Retest Markers : Small diamonds identify price retouching trail or support/resistance levels during bullish/bearish trends after cooldown period. Dotted Support Lines (Green) : Horizontal levels created at bearish snap releases, marking zones where price demonstrated extreme downward elasticity. Dotted Resistance Lines (Red) : Horizontal levels created at bullish snap releases, marking zones where price demonstrated extreme upward elasticity. Colored Candles : Bar coloring reflects current trend state for immediate visual reference. Tension measurement, snap behavior, and trail dynamics outweigh isolated price movements. Signal Logic & Visual Cues Adaptive Trend Sabre presents three primary interaction signals: Buy Signal (◆) : Green diamond appears when trend state switches from bearish to bullish via trailing stop crossover, suggesting momentum shift to upside with new dynamic support level established. Sell Signal (◆) : Red diamond displays when trend state switches from bullish to bearish via trailing stop crossunder, indicating momentum shift to downside with new dynamic resistance level established. Retest Confirmation (✦) : Small diamonds mark price revisiting trail or snap levels after cooldown period, suggesting trend continuation at established support/resistance zones. Snap level creation provides automatic support/resistance detection when extreme tension conditions release, marking zones of proven price elasticity without manual drawing. Alert generation covers trend state switches (bullish/bearish signals) and retest occurrences for systematic monitoring. Strategy Integration Adaptive Trend Sabre fits within adaptive trend-following and dynamic support/resistance approaches: Trail-Based Position Management : Use trailing stop as primary risk boundary - exit long positions when price closes below bullish trail, exit short positions when price closes above bearish trail. Snap Level Entry Refinement : Enter trends on retest of snap support/resistance levels for lower-risk entry points within established directional moves. Tension-Aware Sizing : Reduce position sizing during high tension periods (>2.5 ATR) as price operates in stretched conditions with elevated reversal risk. Multi-Level Zone Analysis : Monitor density of snap levels - clustered support/resistance zones indicate stronger price memory areas warranting attention. Cloud-Aligned Directional Bias : Favor trades aligning with current trend state color rather than counter-trend positions against the trail. Retest-Based Re-entry : Use retest signals as continuation confirmation opportunities to add to or re-enter positions within established trends. Multi-Timeframe Trail Confirmation : Apply higher-timeframe trend state to filter lower-timeframe entry precision, entering only when trails align across timeframes. Technical Implementation Details Core Engine : Configurable MA baseline (HMA, EMA, SMA, WMA, DEMA, TEMA, VWMA, ALMA, LSMA) with 14-period ATR volatility measurement Trail Model : Unidirectional advancing logic with ATR-scaled distance from MA baseline Tension System : Normalized distance calculation with threshold-based snap detection (default 2.0 ATR) Level Construction : Extreme capture during snap conditions with release-triggered line creation at high/low points Level Management : FIFO queue with maximum capacity (default 8 levels), automatic extension, and break-based deletion with buffer zone Visualization : Gradient-filled elastic cloud with bar coloring, diamond signals, and extended dotted snap levels Signal Logic : State-switch detection with retest buffer (default 5 bars) and cooldown mechanisms Performance Profile : Optimized for real-time execution across all timeframes with efficient level management Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Micro-trend tracking for scalping with responsive trail distance settings 15 - 60 min : Intraday momentum following with balanced snap threshold characteristics 4H - Daily : Swing-level trend identification with sustained trail protection Suggested Baseline Configuration: MA Type : HMA MA Length : 34 Trail Distance : 3.25 ATR Snap Threshold : 2.0 ATR Level Break Buffer : 0.25 ATR Maximum Levels : 8 Show Retests : Enabled Retest Cooldown : 5 bars Bullish Color : Green (#00ff00) Bearish Color : Red (#ff0000) These suggested parameters should be used as a baseline; their effectiveness depends on the asset's volatility profile, trending characteristics, and preferred signal frequency, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Trail too close/loose : Adjust Trail Distance multiplier to modify how far the trailing stop sits from MA baseline - lower values create tighter trails with more frequent switches, higher values create looser trails with greater trend persistence. Excessive snap levels : Increase Snap Threshold to demand more extreme tension before snap detection activates, reducing level creation frequency. Missed important levels : Decrease Snap Threshold toward 1.5 ATR to capture less extreme tension releases as support/resistance zones. Levels breaking too easily : Increase Level Break Buffer to require price to close further beyond snap lines before deletion. Too many levels cluttering chart : Decrease Maximum Levels to maintain fewer historical snap zones, focusing on most recent tension releases. Baseline too reactive : Increase MA Length for smoother trend reference that filters more short-term noise, or switch to slower MA types (SMA, ALMA). Baseline too slow : Decrease MA Length for more responsive trend tracking, or switch to faster MA types (HMA, DEMA, TEMA). Excessive retest markers : Increase Retest Cooldown to space out retest signals and reduce visual noise. Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions. Performance Characteristics High Effectiveness: Trending markets with clear directional persistence and sustained moves away from baseline Instruments with consistent volatility characteristics where ATR scaling normalizes effectively Momentum continuation strategies using trail as dynamic support/resistance boundary Swing trading approaches benefiting from automated snap level detection at tension extremes Breakout strategies where snap levels mark zones of proven elasticity for retest entries Reduced Effectiveness: Choppy, range-bound markets with frequent trail crossovers causing whipsaw signals Extremely low volatility environments where snap threshold becomes difficult to breach News-driven or gapped markets with discontinuous price action that bypasses trail logic High-frequency mean-reversion dominant conditions where price oscillates around MA baseline Consolidation and sideways price action where trend-following methodologies inherently struggle due to lack of sustained directional movement Integration Guidelines Confluence : Combine with BOSWaves structure analysis, volume indicators, or traditional support/resistance zones Trail Respect : Honor trailing stop as primary risk boundary - close positions when trail is breached regardless of other factors Level Awareness : Pay attention to snap level clusters as these represent zones of historical price memory and tension release Tension Monitoring : Track tension readings to identify overextended conditions (>2.5 ATR) warranting profit-taking or position reduction Retest Utilization : Treat retest signals as continuation confirmation opportunities rather than reversal warnings State Discipline : Maintain directional bias aligned with current trend state until trail breach occurs Multi-Timeframe Alignment : Use higher timeframe trend state as filter for lower timeframe entries to ensure confluence across time horizons Disclaimer Adaptive Trend Sabre is a professional-grade trend following and dynamic support/resistance detection tool. It uses ATR-normalized trailing stops with tension-based snap level creation but does not predict future price movements. Results depend on market conditions, volatility characteristics, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, volume context, and comprehensive risk management.
Pine Script® 인디케이터
BOSWaves의
Dynamic Extreme Channels & Reversals [LuxAlgo]The Dynamic Extreme Channels & Reversals indicator provides an adaptive framework for identifying price extremes and trend shifts through self-adjusting boundaries. Unlike static channels, this tool dynamically resets its levels based on price activity, offering a responsive environment for trend following and mean-reversion analysis. 🔶 USAGE The indicator functions by tracking the highest highs and lowest lows over a specific window. When the price fails to make a new extreme within the defined period, the boundaries contract toward the current price action. This behavior creates a "breathing" channel that adapts to market volatility and consolidation phases. Users can toggle between two primary viewing modes: Channel Mode: Displays the upper, lower, and midline boundaries. This is ideal for identifying overextended price levels and potential mean-reversion targets. Trailing Stop Mode: Simplifies the visual output into a single step-line that tracks the lower boundary during uptrends and the upper boundary during downtrends, serving as a dynamic exit or trend-following level. 🔹 Reversal Signals The script includes built-in reversal signals designed to catch "blow-off" tops or "panic" bottoms where price briefly exceeds a boundary but immediately loses momentum. Bullish Signal (▲): Occurs when the price hits a new lower extreme (LL) but the current candle manages to peak back above the channel midline. Bearish Signal (▼): Occurs when the price hits a new higher extreme (HH) but the current candle manages to drop below the channel midline. The sensitivity and frequency of these signals are directly influenced by the Lookback Period and Reset Alpha % : Lookback Period: A shorter lookback causes the channel boundaries to "reset" more frequently. This results in tighter channels and more frequent reversal signals, as the midline becomes easier to cross. A longer lookback creates wider, more stable channels, resulting in fewer, high-conviction signals. Reset Alpha %: This determines how aggressively the levels move toward the price after the lookback period expires. A high Alpha (e.g., 100%) creates sharp adjustments, which can lead to rapid signal generation during choppy markets. A lower Alpha creates smoother transitions, filtering out noise in the reversal logic. 🔶 DETAILS The core logic avoids standard rolling maximum/minimum functions to provide a more "sticky" boundary. Instead of the channel edge constantly moving with every bar, it remains fixed until a new extreme is reached or the "timer" (Lookback Period) runs out. When the timer runs out, the level interpolates toward the price based on the Reset Alpha. This simulates a decaying memory of past price extremes, ensuring the indicator remains relevant even after long periods of sideways movement. 🔶 SETTINGS 🔹 Core Settings Lookback Period: The number of bars the indicator waits before adjusting an extreme level if no new high/low is found. Reset Alpha %: Controls the intensity of the level adjustment. 100% resets the level entirely to the current price, while 0% keeps it static. Trailing Stop Mode: Switches the display from a three-line channel to a single trend-following stop line. 🔹 Visuals Show Reversal Signals: Toggles the visibility of the triangle reversal labels. Upper Color: Customizes the color and transparency of the upper boundary. Midline Color: Customizes the color and transparency of the center line. Lower Color: Customizes the color and transparency of the lower boundary. 🔹 Dashboard Dashboard: Toggles the on-screen information panel. Position: Controls the location of the dashboard on the chart. Size: Controls the scale of the dashboard text and cells.
Pine Script® 인디케이터
LuxAlgo의
3
Adaptive ATR Trend FollowerDESCRIPTION: A practical educational tool for learning volatility-based trend following. This indicator demonstrates how to use ATR-adjusted trailing stops to adapt to changing market conditions. It shows traders how to dynamically adjust stop distances based on market volatility rather than using fixed price levels. WHAT MAKES IT UNIQUE: • Three preset trading modes (Fast/Balanced/Smooth) optimized for different market environments • ATR-based dynamic stops that automatically widen during high volatility and tighten during calm periods • Clear visual trend zones with adjustable transparency for better chart readability • Educational focus on risk management concepts and adaptive position sizing • Signal markers that highlight exact trend change points for precise analysis HOW IT WORKS: 1. Calculates Average True Range (ATR) to measure current market volatility 2. Creates dynamic trailing stops using: Current Price ± (ATR × Multiplier) 3. Automatically switches trend direction when price crosses the trailing stop level 4. Provides continuous visual feedback through colored zones, signal markers, and bar coloring 5. Updates stop levels in real-time as market conditions change EDUCATIONAL VALUE: This indicator serves as a learning tool for understanding: - How to use ATR for dynamic position and risk management - The importance of adapting trading systems to current volatility conditions - Trend-following principles with immediate visual feedback - Risk management techniques through adaptive stop placement - The relationship between volatility and optimal stop distances SETTINGS EXPLAINED: • ATR Period (14): The lookback period for volatility measurement. Higher values give smoother readings. • ATR Multiplier (3.0): Determines stop distance from price. Higher = wider stops, Lower = tighter stops. • Trading Style: Fast (tight stops for active trading), Balanced (default settings), Smooth (wide stops for volatile markets) • Price Smoothing (1): EMA period applied to price. Reduces noise for cleaner trend detection. • Trend Fill Transparency (80%): Controls visibility of the colored trend zone between price and stop line. RISK WARNING & DISCLAIMER: This is an educational trend-following tool designed for learning purposes. Important considerations: • May produce whipsaw signals during sideways/consolidating markets • Works best in clearly trending market environments • Always combine with other analysis techniques for confirmation • Practice proper risk management - never risk more than you can afford to lose • Past performance does not guarantee future results • This is NOT financial advice. Use at your own risk and discretion. USE CASES: - Learning about volatility-based trading systems and concepts - Identifying potential trend direction changes with visual confirmation - Setting adaptive stop-loss levels that adjust to market conditions - Educational tool for understanding how ATR affects position management - Visual study of how volatility impacts trend-following strategies COMPATIBILITY: • Works on all markets: Forex, Stocks, Crypto, Commodities, Indices • Effective on multiple timeframes (5-minute to daily charts recommended) • Compatible with other indicators for multi-factor analysis INSTALLATION & USAGE: 1. Add indicator to your chart 2. Start with "Balanced" mode for most markets 3. Adjust ATR multiplier based on your risk tolerance 4. Use signals as potential entry/exit points (with confirmation) 5. Observe how stops adapt to changing volatility conditions EDUCATIONAL TIP: Try switching between Fast/Balanced/Smooth modes to see how different settings perform in various market conditions. Notice how wider stops (Smooth mode) can prevent premature exits during volatile trends, while tighter stops (Fast mode) may work better in calm, steady trends.
Pine Script® 인디케이터
JaxonJackFX의
Smart SafeZone Stops [MarkitTick]💡 This script represents a sophisticated evolution of volatility-based trailing stop methodologies. It is designed to assist traders in managing trend-following positions by dynamically adjusting stop-loss levels based on market noise, directional momentum, and volume flows. Unlike static trailing stops that move by a fixed percentage or simple ATR multiples, this tool calculates the "safe zone" by analyzing how far price has penetrated against the trend over a specific lookback period, offering a granular approach to risk management that adapts to changing market conditions. ✨ Originality and Utility The primary utility of this indicator lies in its ability to filter out market noise while remaining tight enough to protect profits during strong trends. While the classic SafeZone concept (popularized by Dr. Alexander Elder) is effective, this script introduces several modern enhancements that increase its robustness: ● Dynamic ADX Integration Standard SafeZone stops use a fixed multiplier. This script integrates the Average Directional Index (ADX) to gauge trend strength. When the trend is strong, the stop tightens (Aggressive Multiplier) to lock in profits rapidly. When the trend is weak or choppy, the stop widens (Conservative Multiplier) to prevent premature shakeouts. ● Volume-Weighted Noise Price movement on low volume is often considered "noise," while high-volume movement signifies conviction. This script optionally weights the noise calculation by Relative Volume. A downward spike on low volume will affect the stop level less than a downward spike on high volume. ● 3-Day Smoothing Mechanism To prevent the stop line from becoming too jagged or reacting to single-bar anomalies, the script applies a 3-day smoothing algorithm. It utilizes the "worst-case" scenario of the last three calculated stop levels, ensuring the stop only moves when the trend structure genuinely shifts. 🔬 Methodology and Concepts The underlying logic operates on a "Ratchet" mechanism, meaning the stop line can only move in the direction of the trade (up for longs, down for shorts) and never retraces until a trend reversal occurs. ● Directional Noise Calculation The script separates market noise into two components: Downside Penetration (for Longs): The distance the price dips below the previous bar's low. Upside Penetration (for Shorts): The distance the price spikes above the previous bar's high. The average of these penetrations is calculated over the Noise Lookback Period . ● The SafeZone Formula The raw stop level is derived as follows: Long Stop = Previous Low - (Average Downside Noise × Multiplier) Short Stop = Previous High + (Average Upside Noise × Multiplier) ● Adaptive Multiplier Logic If Dynamic ADX is enabled: If ADX > Strong Threshold: Use Aggressive Multiplier (e.g., 1.5x). If ADX < Weak Threshold: Use Conservative Multiplier (e.g., 3.5x). Otherwise: Use the Base Safety Coefficient. ● Exhaustion Detection The script calculates the distance between the current Close price and the Active Stop. If this distance exceeds a specific multiple of the ATR (Average True Range), it flags a "Mean Reversion" or "Exhaustion" warning, suggesting price has extended too far from equilibrium. 🎨 Visual Guide The indicator plots distinct visual elements to guide decision-making without cluttering the chart excessively. ● Trailing Stop Lines Green Line (Solid): Represents the SafeZone Long Stop. This line appears below price during an uptrend. As long as price closes above this line, the bullish bias is intact. Red Line (Solid): Represents the SafeZone Short Stop. This line appears above price during a downtrend. A close above this line signals a potential short exit or reversal. ● Trend Signals Green Triangle (Below Bar): Marks the "Bull Start." This occurs when the price crosses above the Trend Filter EMA and the trend logic flips to bullish. Red Triangle (Above Bar): Marks the "Bear Start." Indicates the start of a downtrend sequence. ● Exhaustion Warnings Yellow Labels (⚠️): These appear when price has extended significantly away from the stop line (based on the ATR Exhaustion Multiplier). This is not an immediate sell signal but a warning that the trend may be overextended and a pullback is probable. ● MTF Consensus Cloud Background Color: If enabled, the chart background changes color to reflect the Higher Timeframe (HTF) trend. Green Background: Current trend matches HTF Uptrend. Red Background: Current trend matches HTF Downtrend. Gray Background: Trends are mismatched (Consolidation/Conflict). ● Quantitative Dashboard A table located in the top-right corner displays real-time statistics: Trend: Current state (BULLISH/BEARISH). Age: Number of bars since the trend began. Stop Price: Exact price level of the trailing stop. Risk %: The percentage distance from the current Close to the Stop. If this exceeds 3%, the text turns red to highlight elevated risk. Active Mult: The current multiplier being used (Dynamic or Fixed). ADX State: Shows if the trend is Strong, Weak, or Normal. 📖 How to Use 1. Entry Timing Wait for a Trend Switch signal (Triangle). For a long entry (Green Triangle), ensure the price is above the Trend Baseline (EMA). Ideally, look for confluence with the MTF Cloud (Green Background). 2. Position Management Once in a trade, use the Trailing Stop Line as your hard exit or invalidation point. Do not manually move the stop away from price; the script automatically "ratchets" the stop tighter as the trend progresses. 3. Taking Profits Use the "Exhaustion Warnings" (⚠️) as opportunities to scale out of positions. When price moves parabolically away from the stop line, the probability of a snap-back increases. 4. Managing Chop If the dashboard shows "ADX State: WEAK," expect the stop line to remain wider. This allows the asset "room to breathe" without stopping you out on random volatility. ⚙️ Inputs and Settings The script is highly customizable to fit different asset classes (Crypto, Forex, Stocks). ● Trend Definitions Trend Filter (EMA Length): Determines the baseline trend bias (Default: 22). Price must be above this EMA to initiate a long calculation. ● Noise Calculation Noise Lookback Period: The number of bars used to calculate average penetration (Default: 10). Base Safety Coefficient: The standard multiplier applied to the noise average (Default: 2.5). Higher values = wider stops. Use Volume Weighting: Enables the volume-adjustment logic. Use 3-Day Smoothing: Recommended keeping this TRUE to avoid stop-hunts. ● Dynamic Multiplier (ADX) Enable Dynamic ADX: Toggles the adaptive multiplier. Strong/Weak Thresholds: The ADX levels that trigger aggressive or conservative multipliers. ● Multi-Timeframe Consensus Higher Timeframe: Select the TF for the cloud background (e.g., Daily or Weekly). ● Exhaustion Warning ATR Multiplier: Defines how far price must be from the stop to trigger a warning (Default: 3.0). 🔍 Deconstruction of the Underlying Scientific and Academic Framework The "Smart SafeZone" indicator is grounded in the statistical analysis of market noise versus signal. ● Theory of Noise Penetration Conventional stops often use Standard Deviation (Bollinger Bands) or Average True Range (Keltner Channels/Chandelier Stops). While effective, these measures assume volatility is symmetrical. This script adopts the view that directional volatility matters more. In an uptrend, upside volatility is "good" signal, while downside volatility is "noise." By explicitly calculating the average downside penetration (Low - Low), the script isolates the specific counter-trend force acting on the asset. ● Volume-Weighted Price Analysis (VWPA) The inclusion of volume weighting draws upon Dow Theory principles, which state that volume must confirm the trend. Math: Penetration × (Volume / AverageVolume) This formula asserts that a price drop on low volume is statistically less significant than a drop on high volume. By dampening the impact of low-volume moves, the stop becomes more resistant to liquidity vacuums and algorithmic stop-hunts. ● Trend Efficiency (ADX) The integration of J. Welles Wilder’s ADX (Average Directional Index) adds a dimension of Trend Efficiency. High ADX values indicate a highly efficient trend with little retracement. Mathematically, this justifies a lower standard deviation (or noise multiplier) for the stop, as the probability of a deep retracement without a trend change is lower in high-momentum environments. ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Pine Script® 인디케이터
MarkitTick의
2
Apex Adaptive TrailApex Adaptive Trail: Adaptive Volatility Trend System This custom trend-following indicator improves on standard SuperTrend implementations by addressing two key weaknesses: excessive whipsaws during high volatility and false signals in ranging markets. Core Logic: - Synthetic Heikin Ashi values are calculated internally (without changing chart candles) to provide smoother source data for trend detection. - ATR-based trailing stop with adaptive multiplier: dynamically adjusts between 0.8x and 1.5x the base factor based on current volatility (ATR / 50-period SMA of ATR). Widens in volatile conditions, tightens in quiet markets. - Weighted Confluence Score (0-100%): Combines four independent filters, each contributing 25%: • Price position relative to 21-period EMA (trend alignment) • ADX > 20 (momentum strength) • Choppiness Index < 60 (trending vs ranging detection) • Alignment with Daily EMA(50) trend direction Signals are only generated when price crosses the adaptive trail AND the confluence score exceeds 75% (standard) or 90% (MAX 🔥 ultra-strong). This combination significantly reduces low-quality entries compared to traditional SuperTrend crossovers. Key Features: - Dynamic confidence cloud (opacity based on score) - Real-time dashboard showing volatility state, active filters, trend bias, and estimated historical win rate - Optional dynamic/fixed profit targets - Fully customizable filters and adaptive behavior Usage: Best on 15m to 4H timeframes for trend-following strategies (Crypto, Forex, Indices). Enter on APEX signals, use trail as stop-loss, TP lines for partial exits. This script integrates established concepts into a unique adaptive framework with volatility-responsive risk management and multi-filter validation. Disclaimer: For educational and analysis purposes only. Past performance is not indicative of future results. Always use proper risk management. "This script combines established indicators (ATR trailing, ADX, Choppiness Index, EMA, MTF) into a unique adaptive system with dynamic volatility adjustment and weighted confluence scoring – features not found together in standard SuperTrend variations."
Pine Script® 인디케이터
mentalExpert19609의
6
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® 인디케이터
BOSWaves의
3
ATR Trailing StopATR Trailing Stop (Dynamic Volatility Regimes) ============================================== This indicator implements an adaptive ATR-based trailing stop for long positions. The stop automatically adjusts based on stock volatility, tightening during fast movements and widening during calm periods. It is designed as a trade management tool to help protect profits while staying aligned with strong trends. How It Works ------------ * Tracks the highest high over a configurable lookback window and ensures this “top” never moves downward. * Computes the trailing stop as:**Top – ATR × Dynamic Multiplier** * The ATR multiplier changes depending on volatility: * Low volatility → Wide stop (slower trailing) * Medium volatility → Standard trailing * High volatility → Tight stop (faster trailing) * The trailing stop only moves upward; it never decreases. * If price falls significantly below the stop (default: 5%), the system resets and begins trailing from a new top. * An optional price-scale label displays: * Current stop value * Volatility regime (LOW / MID / HIGH) * ATR percentage and active multiplier Alerts ------ Two alert conditions are included: ### Trailing Stop – Near Triggers when price moves within a user-defined percentage above the stop. ### Trailing Stop – Hit Triggers when price touches or closes below the stop. How to Use ---------- 1. Add the indicator to any chart (daily timeframe recommended). 2. Configure: * ATR length * Lookback bars * Volatility thresholds * ATR multipliers 3. Set alerts for early warnings or stop-hit events. 4. Use the stop line as a dynamic risk-management tool to guide exit decisions and protect profits. Notes ----- * Designed for long-only trailing logic. * This indicator does not generate entry signals; it is intended for stop management.
Pine Script® 인디케이터
mike_penzin의
PSAR with ATR Trailing Stop + SMA Filter📈 Strategy Overview: PSAR + 6×ATR Trailing Stop with SMA Filter This strategy is built around the principle of “Cut the losers, let the winners run” — a disciplined, trend-following approach that combines the Parabolic SAR indicator with dynamic risk management and a Simple Moving Average (SMA) trend filter. 🔍 Strategy Logic Trend Filter Trades are only taken in the direction of the prevailing trend, defined by a user-selected SMA (default: 100). ✅ Long trades only when price is above the SMA ✅ Short trades only when price is below the SMA Entry Signal: A trade is triggered when the Parabolic SAR flips to the opposite side of the price bars, signaling a potential trend reversal. Stop Loss: The stop loss is dynamically set at 6×ATR from the entry price. This adapts to market volatility and is recalculated every bar — effectively acting as a trailing stop. Exit Logic: There is no fixed take profit. The trade remains open until the trailing stop is hit — allowing winners to run and losers to be cut quickly. Risk Management: Each trade risks 0.5% of total equity, ensuring consistent position sizing and capital preservation. 📊 Visual Elements PSAR dots mark trend direction changes SMA line shows the broader trend filter Trailing stop crosses (with 50% opacity) indicate the current stop level without cluttering the chart ⚙️ Customizable Inputs PSAR parameters: Start, Increment, Maximum ATR length and multiplier SMA length Risk percentage per trade This strategy is ideal for traders who want to stay aligned with the trend, automate disciplined exits, and avoid emotional decision-making. Clean, simple, and powerful. Wishing you calm and successful trades!
Pine Script™ 전략
kostastrovas의
Close Below MAClose Below MA (SMA or EMA) This indicator helps traders quickly identify when a candle closes below a moving average — a classic signal of potential bearish momentum or a shift in trend. You can choose between Simple Moving Average (SMA) or Exponential Moving Average (EMA) from a convenient dropdown menu, and customize the MA length to fit your strategy. When a candle closes below the selected MA, a small black arrow appears above the bar, and an alert can be triggered for instant notifications. Features: Choose between SMA or EMA. Adjustable MA length. Visual signal (arrow) when the close is below the selected MA. Built-in alert support Usage Ideas: Spot early signs of a bearish reversal. Use alerts for automated trade monitoring.
Pine Script® 인디케이터
VCPxTrader의
Advanced Chandelier Exit with S/R [Alpha Extract]Advanced Chandelier Exit with S/R is a precision-crafted trailing stop and market structure detection system that fuses advanced Chandelier Exit logic with intelligent, multi-timeframe support and resistance tracking. This indicator delivers adaptive trend detection, volatility-aware exit positioning, and real-time structural mapping in a clean, responsive format. By combining directional filtering, pivot zone detection, and customizable styling, Advanced Chandelier Exit with S/R is designed to give traders reliable context, strong risk management, and visually intuitive confirmation signals across all timeframes and asset classes. 🔶 Adaptive Trailing Stop Architecture At the core of Advanced Chandelier Exit with S/R is a refined Chandelier Exit mechanism that dynamically calculates trailing stops based on recent highs and lows, ATR volatility, and trend sensitivity. The system features directional memory, anchoring the stop to maintain position until a confirmed trend break occurs. This method prevents premature flips and keeps the trade aligned with sustained momentum. longStop := close > longStop ? math.max(longStop, longStop ) : longStop shortStop := close < shortStop ? math.min(shortStop, shortStop ) : shortStop 🔶 Volatility-Weighted Filtering To reduce noise and improve reaction quality, Advanced Chandelier Exit with S/R includes an optional volatility normalization filter. This system adjusts ATR output based on how elevated it is relative to its own average, effectively down-weighting erratic price moves while maintaining responsiveness in directional phases. volatilityFilter = enableVolatilityFilter ? ta.sma(baseATR, length) / baseATR : 1.0 atr = mult * baseATR * sensitivity * volatilityFilter 🔶 Trend Strength-Aware State Transitions Trend flips in Advanced Chandelier Exit with S/R are not based solely on price crossing the stop level. Instead, the system includes a momentum-derived trend strength filter that validates the legitimacy of directional shifts. This guards against weak reversals and gives stronger confidence in breakout moves. priceChange = math.abs(close - close ) avgPriceChange = ta.sma(priceChange, length) trendStrength = math.min(priceChange / avgPriceChange * 100, 200) 🔶 Multi-Timeframe Support & Resistance Zones Advanced Chandelier Exit with S/R embeds a sophisticated pivot-based structure mapping engine that automatically identifies significant price reaction levels and tracks their validity over time. It filters redundant zones, removes invalidated levels, and renders real-time support and resistance overlays based on market structure. if isUniqueLevel(ph, resistanceLevels) array.unshift(resistanceLevels, ph) if isUniqueLevel(pl, supportLevels) array.unshift(supportLevels, pl) 🔶 Dynamic Visual Encoding The indicator uses strength-scaled fills, customizable colors, and line styling to convey directional bias with clarity. Color opacity intensifies as trend strength increases, offering intuitive context at a glance. Dynamic background fills mark trend states, while S/R zones are rendered with user-defined transparency for clean integration. 🔶 Signal Detection and Alerts Directional signals are generated upon confirmed flips between long and short regimes, validated by stop crosses and strength filters. Additionally, the indicator provides S/R breakout alerts, identifying when price breaks through a key structural level. 🔶 Performance and Customization Optimizations Advanced Chandelier Exit with S/R is built with modularity and efficiency in mind. It supports full customization of stop logic, volatility sensitivity, structural lookback, S/R zone filtering, and visual display. The use of array-based data structures for S/R levels ensures consistent performance even across high-activity assets and longer lookback periods. Advanced Chandelier Exit with S/R represents the next evolution in trailing stop and structure-aware trading tools. By blending the proven logic of the Chandelier Exit system with intelligent trend strength filters and robust S/R detection, it becomes more than just a stop indicator—it becomes a complete trade management companion. Traders benefit from fewer false flips, clearer directional bias, and precise structural overlays that reinforce both breakout and reversal strategies. Whether used for swing entries, intraday positioning, or zone-based re-entries, Advanced Chandelier Exit with S/R empowers traders with responsive, intelligent logic that adapts to market conditions without compromise.
Pine Script® 인디케이터
AlphaExtract의
3
ATR Trailing Stop with ATR Targets [v6]What the Indicator Does This custom TradingView indicator is designed for active traders who want to automate and visualize their trailing stop management and target setting, using true market volatility. It combines the Average True Range (ATR) with dynamic market structure logic to: Trail a stop-loss behind major swings in real time, using 2×ATR (adjustable) from the highest high in uptrends or the lowest low in downtrends. Flip trading bias between bullish and bearish when the stop is breached. Identify and plot three profit targets (at 1, 2, and 3 ATR from the breakout/flip point) after every stop-flip, helping traders scale out or set take-profits objectively. Maintain a visible presence on your chart every bar to avoid indicator errors, with color and labeling for clear distinction between long/short phases. How the Indicator Works 1. ATR Calculation ATR Period and Multiplier: You select your preferred ATR length (default is 14 bars) and a multiplier (default is 2.0). Volatility Adjustment: ATR measures the average "true" bar range, so the trailing stop and targets adapt to current volatility. 2. Trailing Stop Logic Uptrend (bullish bias): The indicator tracks the highest high made since the last bearish-to-bullish flip and sets the stop at - . The stop only raises (never lowers) during an uptrend, protecting gains in strong moves. Downtrend (bearish bias): Tracks the lowest low made since the last bullish-to-bearish flip, with stop at + . The stop only lowers (never raises) in a downtrend. Flip Point: If price closes through the trailing stop, the current bias “flips,” and the logic reverses (bullish to bearish or vice versa). At the new close, flip price and bar index are stored for target calculation. 3. ATR Targets after Flip After each stop flip: Three targets—based on the new close price—are calculated and plotted: Long flip (new bull bias): Target1 = close + 1×ATR, Target2 = close + 2×ATR, Target3 = close + 3×ATR. Short flip (new bear bias): Target1 = close - 1×ATR, Target2 = close - 2×ATR, Target3 = close - 3×ATR. These targets help with scaling out, partial profit-taking, or setting automated orders. 4. Visual Feedback Trailing stop line: Green for long bias, red for short bias. Targets: Distinct color-coded circles at 1, 2, 3 ATR levels from the most recent flip. Flip Labels: Mark the bar and price where bias flipped (“Long Flip” or “Short Flip”) for quick pattern recognition. Subtle background shading: Ensures TradingView's requirement for “indicator output every bar.” How to Use This Indicator Parameter Setup ATR Period and Multiplier: Adjust to match the timeframe and volatility of your instrument. Lower periods/multipliers for short-term/volatile trading. Higher values for smoother signals or higher timeframes. Starting Trend: Set to match the expected initial bias if the instrument has strong trend characteristics. Trading Application 1. Daily Bias Approach Establish your bias in line with your trading plan (e.g., only trade long if price is above the previous day's high, short below the previous day's low). Only look for trades in the indicator's current bias direction, as expressed by the stop and background color. 2. Entry Use the indicator as a real-time confirmation or trailing stop for your entries. Breakout: Enter when price establishes the current bias, using the trailing stop as your risk level. Reversal: Wait for a bias flip after an extended move; enter in the direction of the new bias. VWAP Rebound: Combine with a VWAP bounce—enter only if the indicator bias supports your direction. 3. Exits/Targets Trailing stop management: Move your stop according to the plotted line; exit if your stop is hit. Profit-taking: Scale out or take profits as price approaches each ATR-based target. Use the dynamic labeling to identify reversal flips and reset your plan if stopped or the bias changes. 4. Market Context Filter and frame setups by watching correlated indicators (DXY, VIX, AUDJPY, put/call ratio) and upcoming news; trade only in the daily bias direction for best consistency. 5. Practical Tips Combine this indicator with your custom watchlist and alert settings to get notified on flips or targets. Review the last label ("Long Flip"/"Short Flip") and targets to plan partial exits. Remember: ATR adapts to volatility, so the stop and targets stay proportionate even when price action shifts.
Pine Script® 인디케이터
TRDRZone의
Chandelier Exit Oscillator [LuxAlgo]The Chandelier Exit Oscillator is a technical analysis tool that provides insights into potential trend reversals, momentum shifts, and trend continuation patterns, helping traders pinpoint optimal exit points for both long and short positions. By calculating trailing stop levels based on a multiple of the Average True Range (ATR), the oscillator visually indicates when prices move above or below these critical stop levels. This script uniquely combines the Chandelier Exit indicator with an oscillator format, equipping traders with a versatile tool that leverages ATR-based levels for enhanced trend analysis. 🔶 USAGE Displaying the Chandelier Exit as an oscillator allows traders to gauge trend momentum and strength, recognize potential reversals, and refine their market insights. The Timeframe option specifies the timeframe used for calculations, enabling multi-timeframe analysis and allowing traders to align the indicator’s signals with broader or narrower market trends. The Chandelier Exit Oscillator allows users to select between a Regular or Normalized oscillator type. The Regular option displays raw oscillator values, while the Normalized version smooths values and scales them from 0 to 100. The Chandelier Exit Overlay allows users to enable or disable the display of Chandelier Exit levels directly on the price chart. When enabled, this overlay plots trailing stop levels for both long and short positions, helping traders visually monitor potential exit points and trend boundaries alongside the price action. The Trend-based Bar Color feature allows users to color the bars on the price chart according to the current trend direction. This visual differentiation aids in quicker decision-making and provides a clearer understanding of market dynamics. 🔶 SETTINGS 🔹 Chandelier Exit Settings Timeframe: Sets the timeframe for calculations, allowing multi-timeframe analysis. ATR Length: Defines the number of bars used for calculating the Average True Range (ATR), which helps in setting Chandelier Exit levels. ATR Multiplier: Adjusts the sensitivity of the Chandelier Exit lines based on the ATR. Higher values make the indicator more conservative, while lower values make it more responsive. 🔹 Chandelier Exit Oscillator Chandelier Exit Oscillator: Allows users to choose between a Regular or Normalized oscillator type. The Regular option displays raw oscillator values, while the Normalized version smooths values and scales them from 0 to 100. Oscillator Smoothing: Controls the level of smoothing applied to the oscillator. Higher smoothing values filter out minor fluctuations. 🔹 Chandelier Exit Overlay Chandelier Exit Overlay: Enables or disables the display of Chandelier Exit levels directly on the price chart. Trend-based Bar Colors: Allows users to color bars based on trend direction, enhancing the visual analysis of market direction. 🔶 RELATED SCRIPTS Market-Structure-Oscillator
Pine Script® 인디케이터
LuxAlgo의
8
Momentum Trail Oscillator [AlgoAlpha]🟠 OVERVIEW This script builds a Momentum Trail Oscillator designed to measure directional momentum strength and dynamically track shifts in trend bias using a combination of smoothed price change calculations and adaptive trailing bands. The oscillator aims to help traders visualize when momentum is expanding or contracting and to identify transitions between bullish and bearish conditions. 🟠 CONCEPTS The core idea combines two methods. First, the script calculates a normalized momentum measure by smoothing price changes relative to their absolute values, which creates a bounded oscillator that highlights whether moves are directional or choppy. Second, it uses a trailing band mechanism inspired by volatility stops, where bands adapt to the oscillator’s volatility, adjusting the thresholds that define a shift in directional bias. This dual approach seeks to address both the magnitude and persistence of momentum, reducing false signals in ranging markets. 🟠 FEATURES The momentum calculation applies Hull Moving Averages and double EMA smoothing to price changes, producing a smooth, responsive oscillator. The trailing bands are derived by offsetting a weighted moving average of the oscillator by a multiple of recent momentum volatility. A directional state variable tracks whether the oscillator is above or below the bands, updating when the momentum crosses these dynamic thresholds. Overbought and oversold zones are visually marked between fixed levels (+30/+40 and -30/-40), with color fills to highlight when momentum is in extreme areas. The script plots signals on both the oscillator pane and optionally overlays markers on the main price chart for clarity. 🟠 USAGE To use the indicator, apply it to any symbol and timeframe. The “Oscillator Length” controls how sensitive the momentum line is to recent price changes—lower values react faster, higher values smooth out noise. The “Trail Multiplier” sets how far the adaptive bands sit from the oscillator mid-line, which affects how often trend state changes occur. When the momentum line rises into the upper filled area and then crosses back below +40, it signals potential overbought exhaustion. The opposite applies for the oversold zone below -40. The plotted trailing bands switch visibility depending on the current directional state: when momentum is trending up, the lower band acts as the active trailing stop, and when trending down, the upper band becomes active. Trend changes are marked with circular symbols when the direction variable flips, and optional overlay arrows appear on the price chart to highlight overbought or oversold reversals. Traders can combine these signals with their own price action or volume analysis to confirm entries or exits.
Pine Script® 인디케이터
AlgoAlpha의
10
Expanded Cloud [LuxAlgo]The Expanded Cloud tool allows traders to identify and follow trends accurately. It is based on the well-known Donchian Channels, but with enhanced features. It features a trailing cloud that expands with the price and a trading stats dashboard. 🔶 USAGE The tool is super easy to use. Traders can identify bigger or smaller trends just by adjusting the length from the settings panel. Trend identification is based on Donchian Channels. An uptrend is indicated when the cloud is located below the price, while a downtrend is indicated when the cloud is above it. Dots signal the start of a new trend, and the width of the clouds identifies the strength of the price expansion. The wider the cloud, the bigger the move. The expanded cloud, due to its visual, can also act as a trailing stop. 🔹 Trend Identification As we can see in the chart above, different length values identify different trends on the same BTC daily chart. Larger values identify larger trends. 🔹 Cloud Expansion From the settings panel, traders can adjust how the clouds expand based on the Expansion % parameter. It accepts values from 0 to 100, which controls how much of the expansion is taken into account. Higher values will make the cloud expand and get closer to the price faster. When the cloud moves opposite to the direction of the indicated trend (e.g: the cloud decreases while being below the price), it is often indicative of the end of a retracement, and we can expect the price to move with the indicated trend. The chart above shows the effect of different Expansion % values. 🔹 Dashboard The trading statistics dashboard informs traders of key metrics derived from the tool. The following are notable: PNL: Theoretical profit or loss from all trends identified by the tool in the right scale units. EXPECT.: Expected value of each trade. It is derived from win rate and risk-to-reward metrics. AVG: 1st TOUCH: The average number of bars from the beginning of a new trend until the price touches the cloud for the first time. 🔶 SETTINGS Length: Length for trend detection Expansion %: Percentage of price expansion for cloud formation Source: Source of the data 🔹 Dashboard Show Dashboard: Enable/disable the statistics dashboard Location: Dashboard location Size: Dashboard size
Pine Script® 인디케이터
LuxAlgo의
17
Heatmap Trailing Stop with Breakouts (Zeiierman)█ Overview Heatmap Trailing Stop with Breakouts (Zeiierman) is a trend and breakout detection tool that combines dynamic trailing stop logic, Fibonacci-based levels, and a real-time market heatmap into a single, intuitive system. This indicator is designed to help traders visualize pressure zones, manage stop placement, and identify breakout opportunities supported by contextual price–derived heat. Whether you're trailing trends, detecting reversals, or entering on explosive breakouts — this tool keeps you anchored in structure and sentiment. It projects adaptive trailing stop levels and calculates Fibonacci extensions from swing-based extremes. These levels are then colored by a market heatmap engine that tracks price interaction intensity — showing where the market is "hot" and likely to respond. On top of that, it includes breakout signals powered by HTF momentum conditions, trend direction, and heatmap validation — giving you signals only when the context is strong. █ How It Works ⚪ Trailing Stop Engine At its core, the script uses an ATR-based trailing stop with trend detection: ATR Length – Defines volatility smoothing using EMA MA of true range. Multiplier – Expands/retracts the trailing offset depending on market aggression. Real-Time Extremum Tracking – Uses local highs/lows to define Fibonacci anchors. ⚪ Fibonacci Projection + Heatmap With each trend shift, Fibonacci levels are projected from the new swing to the current trailing stop. These include: Fib 61.8, 78.6, 88.6, and 100% (trailing stop) lines Heatmap Coloring – Each level'slevel's color is determined by how frequently price has interacted with that level in the recent range (defined by ATR). Strength Score (1–10) – The number of touches per level is normalized and averaged to create a heatmap ""score"" displayed as a colored bar on the chart. ⚪ Breakout Signal System This engine detects high-confidence breakout signals using a higher timeframe candle structure: Bullish Breakout – Strong bullish candle + momentum + trend confirmation + heatmap score threshold. Bearish Breakout – Strong bearish candle + momentum + trend confirmation + heatmap score threshold. Cooldown Logic – Prevents signals from clustering too frequently during volatile periods. █ How to Use ⚪ Trend Following & Trail Stops Use the Trailing Stop line to manage positions or time entries in line with trend direction. Trailing stop flips are highlighted with dot markers. ⚪ Fibonacci Heat Zones The projected Fibonacci levels serve as price magnets or support/resistance zones. Watch how price reacts at Fib 61.8/78.6/88.6 levels — especially when they're glowing with high heatmap scores (more glow = more historical touches = stronger significance). ⚪ Breakout Signals Enable breakout signals when you want to trade breakouts only under strong context. Use the "Heatmap Strength Threshold" to require a minimum score (1–10). █ Settings Stop Distance ATR Length – ATR period for volatility smoothing Stop Distance Multiplier – Adjusts the trailing stop'sstop's distance from price Heatmap Range ATR Length – Defines how far back the heatmap scans for touches Number of Heat Levels – Total levels used in the heatmap (more = finer resolution) Minimum Touches per Level – Defines what counts as a ""hot"" level Heatmap Strength Threshold – Minimum average heat score (1–10) required for breakouts Timeframe – HTF source used to evaluate breakout momentum structure ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Pine Script® 인디케이터
Zeiierman의
17
Trend Flow Trail [AlgoAlpha]OVERVIEW This script overlays a custom hybrid indicator called the Money Flow Trail which combines a volatility-based trend-following trail with a volume-weighted momentum oscillator. It’s built around two core components: the AlphaTrail—a dynamic band system influenced by Hull MA and volatility—and a smoothed Money Flow Index (MFI) that provides insights into buying or selling pressure. Together, these tools are used to color bars, generate potential reversal markers, and assist traders in identifying trend continuation or exhaustion phases in any market or timeframe. CONCEPTS The AlphaTrail calculates a volatility-adjusted channel around price using the Hull Moving Average as the base and an EMA of range as the spread. It adaptively shifts based on price interaction to capture trend reversals while avoiding whipsaws. The direction (bullish or bearish) determines both the band being tracked and how the trail locks in. The Money Flow Index (MFI) is derived from hlc3 and volume, measuring buying vs selling pressure, and is further smoothed with a short Hull MA to reduce noise while preserving structure. These two systems work in tandem: AlphaTrail governs directional context, while MFI refines the timing. FEATURES Dynamic AlphaTrail line with regime switching logic that controls directional bias and bar coloring. Smoothed MFI with gradient coloring to visually communicate pressure and exhaustion levels. Overbought/oversold thresholds (80/20), mid-level (50), and custom extreme zones (90/10) for deeper signal granularity. Built-in take-profit signal logic: crossover of MFI into overbought with bullish AlphaTrail, or into oversold with bearish AlphaTrail. Visual fills between price and AlphaTrail for clearer confirmation during trend phases. Alerts for regime shifts, MFI crossovers, trail interactions, and bar color regime changes. USAGE Add the indicator to any chart. Use the AlphaTrail plot to define trend context: bullish (trailing below price) or bearish (trailing above). MFI values give supporting confirmation—favor long setups when MFI is rising and above 50 in a bullish regime, and shorts when MFI is falling and below 50 in a bearish regime. The colored fills help visually track strength; sharp changes in MFI crossing 80/20 or 90/10 zones often precede pullbacks or reversals. Use the plotted circles as optional take-profit signals when MFI and trend are extended. Adjust AlphaTrail length/multiplier and MFI smoothing to better match the asset’s volatility profile.
Pine Script® 인디케이터
AlgoAlpha의
20
FVG Trailing Stop [LuxAlgo]The FVG Trailing Stop indicator tracks unmitigated Fair Value Gaps (FVG) data to produce a Trailing Stop indicator able to determine if the market is uptrending or downtrending easily. 🔶 USAGE The FVG Trailing Stop is intended to identify trend directions through its position relative to the closing price: Bullish: Price is located above the Trailing Stop, indicating that all Bearish FVGs have been mitigated and the trend is anticipated to continue upwards. Bearish State: Price is located below the Trailing Stop, indicating that all Bullish FVGs have been mitigated and the trend is anticipated to continue downwards. The Trailing Stop originates from two extremities obtained from the average of respective unmitigated FVGs. The specific directional average is also displayed as a more transparent secondary line, however, the trailing stop is derived from this value and a new trend will not be detected until the opposite directional average is crossed. Price reaching the Trailing Stop is caused by retracements and can lead to the following scenarios: Outcome 1: The directional average is crossed next, indicating a new trend direction. Outcome 2: The directional average is held as support or resistance, leading to a new impulse and a continuation of the trend. 🔹 Reset on Cross While price crossing the Trailing Stop should be considered as a sign of an upcoming trend change; it is possible for the price to still evolve outside it. As a solution, we have included the "Reset on Cross" feature, which (as the name suggests) hides and resets the Trailing Stop each time it is crossed, leading to a "Neutral" state. This opens the opportunity for the Trailing Stop to be displayed again once the price moves again in the direction of the pre-established trend. A trader might use this to accumulate positions within a specific trend. 🔶 DETAILS The script uses a typical identification method for FVGs. Once identified, the script collects the point of the FVG farthest from the current price when formed. For Upwards FVGs this is the bottom of the FVG. For Downwards FVGs this is the top of the FVG. The data is managed only to use the last input lookback of FVGs. If an FVG is mitigated, it frees up a spot in the memory for a new FVG, however, if the lookback is full, the oldest will be deleted. From there, it uses a "trailing" logic only to move the Trailing Stop in one direction until the trailing stop resets or the direction flips. The extremities used to calculate the Trailing Stop are created from 2 calculation steps, the first step involves taking the raw average of the FVG mitigation levels, and the second step applies a simple moving average (SMA) smoothing of the precedent-obtained averages. 🔶 SETTINGS Unmitigated FVG Lookback: Sets the maximum number of Unmitigated FVGs that the script will use. Smoothing Length: Sets the smoothing length for the Trailing Stop to reduce erratic results. Reset on Cross: When enabled, hide and reset the Trailing Stop until the price starts moving in the pre-established trend direction again.
Pine Script® 인디케이터
LuxAlgo의
17
Commodity Trend Reactor [BigBeluga] 🔵 OVERVIEW A dynamic trend-following oscillator built around the classic CCI, enhanced with intelligent price tracking and reversal signals. Commodity Trend Reactor extends the traditional Commodity Channel Index (CCI) by integrating trend-trailing logic and reactive reversal markers. It visualizes trend direction using a trailing stop system and highlights potential exhaustion zones when CCI exceeds extreme thresholds. This dual-level system makes it ideal for both trend confirmation and mean-reversion alerts. 🔵 CONCEPTS Based on the CCI (Commodity Channel Index) oscillator, which measures deviation from the average price. Trend bias is determined by whether CCI is above or below user-defined thresholds. Trailing price bands are used to lock in trend direction visually on the main chart. Extreme values beyond ±200 are treated as potential reversal zones. 🔵 FEATURES\ CCI-Based Trend Shifts: Triggers a bullish bias when CCI crosses above the upper threshold, and bearish when it crosses below the lower threshold. Adaptive Trailing Stops: In bullish mode, a trailing stop tracks the lowest price; in bearish mode, it tracks the highest. Top & Bottom Markers: When CCI surpasses +200 or drops below -200, it plots colored squares both on the oscillator and on price, marking potential reversal zones. Background Highlights: Each time a trend shift occurs, the background is softly colored (lime for bullish, orange for bearish) to highlight the change. 🔵 HOW TO USE Use the oscillator to monitor when CCI crosses above or below threshold values to detect trend activation. Enter trades in the direction of the trailing band once the trend bias is confirmed. Watch for +200 and -200 square markers as warnings of potential mean reversals. Use trailing stop areas as dynamic support/resistance to manage stop loss and exit strategies. The background color changes offer clean confirmation of trend transitions on chart. 🔵 CONCLUSION Commodity Trend Reactor transforms the simple CCI into a complete trend-reactive framework. With real-time trailing logic and clear reversal alerts, it serves both momentum traders and contrarian scalpers alike. Whether you’re trading breakouts or anticipating mean reversions, this indicator provides clarity and structure to your decision-making.
Pine Script® 인디케이터
BigBeluga의
33