Commencez

Priceaction

DandoWelcome to Dando, the ultimate all-in-one suite for traders utilizing Smart Money Concepts (SMC) and Inner Circle Trader (ICT) methodologies. Instead of cluttering your chart with a dozen different indicators, Dando combines the most powerful price action concepts into a single, highly customizable, and visually clean overlay. From precision Fair Value Gap (FVG) tracking and multi-timeframe trend analysis to automated Liquidity Sweeps and Killzone detection, Dando is designed to provide actionable, high-probability trade setups based on algorithmic logic.
Indicateur Pine Script®
par Samdando
Contrarian Level Strength PRO Contrarian Level Strength PRO is a discretionary trading assistant designed to analyze how price approaches manually defined support and resistance levels. The indicator focuses on the structure, strength and context of price movement before the level is reached, helping traders evaluate whether a contrarian reaction is statistically more favorable or whether momentum is strong enough to avoid fading the move. The script does not generate automatic buy/sell signals. Instead, it provides contextual information intended to support discretionary execution. Core concepts used internally: * ATR-based volatility normalization * Relative arrival speed calculation * Volume expansion and contraction analysis * Compression and overextension filters * Liquidity sweep detection * False breakout recognition * Multi-timeframe EMA directional context * Supertrend filtering * Historical level quality analysis * Contrarian probability scoring Main features: * Multi-symbol manual level profiles * Weighted support/resistance levels * Arrival strength score from 1 to 100 * Long vs Short probability estimation * Liquidity sweep detection * Fake breakout analysis * ATR-based target and stop projections * Technical trade management assistance * Level invalidation logic * Temporary contextual labels * Dashboard with statistical tracking * Supertrend directional filter * Multi-timeframe directional bias Typical interpretation: * Low arrival strength + rejection/sweep = possible contrarian opportunity * Strong breakout momentum = avoid fading the move * Fresh levels generally provide higher reaction probability than heavily tested levels The indicator is designed for traders using discretionary price action and liquidity-based execution models rather than fully automated systems. Why manual levels? The script intentionally uses trader-defined levels because many institutional liquidity reactions occur around discretionary market structure areas that are difficult to standardize algorithmically. English translation of interface labels: * “Forza arrivo” = Arrival strength * “Livello attivo” = Active level * “Probabilità” = Probability * “Qualità livello” = Level quality * “Pre-avviso” = Pre-alert * “Stato trade” = Trade status * “Proteggi trade” = Protect trade * “Livello invalidato” = Level invalidated Recommended usage: * Define important support/resistance zones manually * Wait for price approach * Evaluate arrival strength and reaction quality * Avoid fading extremely strong momentum * Use confirmation logic before execution This script is intended as a decision-support tool and should not be considered financial advice.
Indicateur Pine Script®
par marinobortoluzzi
1
Volatility Coil Edge [BullByte]Volatility Coil Edge is a reversal detection script designed for intraday traders operating in futures, indices, and crypto markets. It identifies a specific and repeatable market condition: price compressing into a tight range at the extreme boundary of a session, then breaking out of that compression in the opposing direction. The compression is the footprint. The break is the trigger. Everything else - entry, stop, and three scaled targets - is calculated automatically from the structure itself. This script is built from custom logic rather than a simple wrapper of standard indicators. VCE is built from a custom volatility state machine designed specifically for detecting absorption-and-release patterns at session extremes. There is no RSI. No MACD. No Bollinger Band. The logic is derived entirely from price geometry, ATR ratio mathematics, and session range physics. --- WHAT IS A VOLATILITY COIL Price does not move in straight lines. It expands and contracts in cycles . When price reaches the edge of its established session range and begins contracting - forming smaller and smaller bars with decreasing volatility relative to recent history - it is coiling. This coil represents a temporary equilibrium between buyers and sellers at a structurally significant location. The coil at a session high means sellers have been absorbing every attempt to push higher. The coil at a session low means buyers have been absorbing every attempt to push lower. When that absorption ends and price breaks through the coil boundary in the reversal direction, it signals that one side may be losing control and the opposite side may begin to take over. VCE detects this moment and marks it on the close of the break bar. The script combines session-extreme context, multi-condition compression logic, violation tolerance, and post-impulse detection within one unified engine. --- WHY THIS WORKS AND WHY IT IS ORIGINAL Most volatility indicators measure contraction globally across the entire chart. VCE measures contraction locally and contextually - it only cares about compression that forms at the edges of the current session range. A tight range forming in the middle of a session is noise. The same tight range forming at the session high or low is a structural event. The detection engine uses three simultaneous compression conditions: The first is a ratio comparison between a short-period local ATR and a longer-period background ATR . When the local ATR falls below a calibrated percentage of the background ATR, the bar qualifies as contracted. The second is a drift-floor condition that catches low-volatility regimes where the ratio test alone would miss genuine compressions. It compares the current bar range against the rolling median bar range. The third is Catalyst Mode, which identifies compressions forming immediately after a volatility expansion - the post-impulse coil. These are often a strong setup type because they represent price stalling after a strong directional move, often marking exhaustion at the extreme. All three conditions feed a state machine that tracks how many consecutive bars meet the compression criteria, applies violation tolerance so that minor range extensions do not invalidate real coils, and enforces a maximum coil length to prevent stale consolidations from triggering signals. --- THREE SENSITIVITY TIERS Conservative: Requires the tightest compression and the longest minimum coil duration. Generates fewer signals. Best for traders who prefer higher-filter setups and can wait. Balanced: The recommended default. Moderate compression requirements and signal frequency. Suitable for most intraday traders across all supported markets. Aggressive: Captures looser compressions and shorter coils. Higher signal frequency. Best for very active scalpers who want early entries and manage risk with tight stops. All three tiers can be fully overridden with manual parameter control for experienced users who want to calibrate to a specific instrument. --- CATALYST MODE When enabled, Catalyst Mode adds a fourth detection layer. If any of the last five bars showed a range greater than 1.5 times the background ATR, the engine recognizes that a volatility expansion just occurred. Compressions forming immediately after an expansion are flagged even if the ratio test alone would not qualify them. These post-impulse coils frequently mark the confirmed point where momentum stalls and reversal begins. --- SIGNAL MECHANICS This tool provides a systematic framework for identifying the pattern and managing the trade once it fires. A historical bar is exactly what you would have seen in real time on that bar's close. LONG signals fire when a qualified compression forms at the session low zone and price closes above the upper boundary of the coil on the break bar. SHORT signals fire when a qualified compression forms at the session high zone and price closes below the lower boundary of the coil on the break bar. --- ENTRY, STOP, AND TARGETS Entry is the close price of the signal bar. The stop loss is placed beyond the structural extreme of the coil - below the coil low for longs, above the coil high for shorts - with an ATR buffer added for breathing room. A minimum stop distance floor prevents dangerously tight stops on very small coils. The stop distance itself is bounded between an ATR floor and an ATR ceiling so that all three targets remain proportionally realistic regardless of coil size. Targets are then calculated as pure R-multiples of the final bounded stop distance: TP1 defaults to 1.0R - the point where the trade has covered its own risk. TP2 defaults to 1.5R - the primary partial profit zone. TP3 defaults to 2.0R - the full target. Hitting TP3 closes the trade and removes all drawings. TP1 and TP2 are milestone targets. When hit, a yellow dot marks the price level and the trade remains open. The stop loss and all three target lines remain live until TP3 or the stop is reached. All R-multiple values are user-adjustable. The stop buffer and minimum distance are also adjustable. --- VISUAL ELEMENTS Signal Card: A labeled marker appears at every signal bar showing direction (LONG or SHORT), the number of bars in the coil, and the TP2 R-multiple. In Minimalist mode, only the direction is shown. Signal cards are permanent - every historical signal remains visible for review. Level Lines: At signal time, five horizontal lines are drawn - entry, stop loss, TP1, TP2, TP3 - each with a floating price label to the right. Lines extend forward bar by bar during the trade and terminate cleanly at the outcome bar. Coil Box: While a compression is being watched, a dashed orange box outlines the coil range. The box updates in real time as the coil extends. A small tag shows direction bias and bar count. Concentric Rings: Four nested rings are drawn around the signal bar at entry, scaling with ATR. They persist for the duration of the trade as a visual anchor and are removed automatically at outcome. Milestone Dots: Yellow dots mark the exact bar and price where TP1 and TP2 are touched during the trade. Signal Bar Highlight: The background of the signal bar is tinted green for longs and red for shorts. --- THE DASHBOARD The dashboard panel shows the current state of the engine at a glance. It updates on every bar close. The header shows the ticker symbol and timeframe so the panel is always self-identifying across multiple open charts. STATE shows one of four conditions: IDLE when no coil is active, FORMING with a bar count when compression is building but not yet qualified, WATCH LONG or WATCH SHORT when a qualified coil is positioned at an extreme and the engine is waiting for a break, and ACTIVE LONG or ACTIVE SHORT during a live trade. COIL shows the current compression bar count and the local-to-background ATR ratio as a percentage. Lower percentage means tighter compression. ZONE shows where the active coil is positioned - session high, session low, or mid-range for forming coils that have not yet reached an extreme. ENTRY shows the direction and confirmed entry price of the active trade. TARGETS shows three dots - one for each TP level. Dots fill yellow as each milestone is hit during the trade. --- RECOMMENDED MARKETS AND TIMEFRAMES VCE is designed for liquid intraday markets with defined session structure. It performs better on instruments that have clear daily range boundaries and regular volatility patterns. Recommended markets: NQ, ES, MNQ, MES futures. BTC, ETH, SOL perpetual futures. Major crypto spot pairs. SPY, QQQ intraday. Recommended timeframes: The script performs strongest on the 15 minute timeframe where session structure is cleanest and compression patterns carry the most weight. The 5 minute and 3 minute timeframes are well suited for standard intraday work. The 1 minute timeframe is for aggressive scalping and requires tighter risk management due to higher noise levels. The Session Range Lookback input should be calibrated to approximately one full session worth of bars on your chosen timeframe. On a 5-minute chart, one RTH session is roughly 78 bars. On a 1-minute chart, approximately 390 bars. The default of 50 is a balanced starting point for 3-minute and 5-minute charts. On a 15-minute chart one full RTH session is approximately 26 bars; set Session Range Lookback to 26 to 30 for clean session-extreme detection on this timeframe. --- HOW TO READ A LIVE SETUP (USAGE) Step one : Watch for the dashboard STATE to change from IDLE to FORMING. This means compression is building somewhere on the chart. Step two: When STATE changes to WATCH LONG or WATCH SHORT, the coil has qualified and is positioned at a session extreme. The orange coil box becomes visible. The engine is now armed. Step three: Do not act on WATCH alone. Wait for the signal card to appear. The signal only fires on bar close when the coil has been broken in the reversal direction. The signal card, level lines, and rings all appear simultaneously at that moment. Step four: Entry is the close of the signal bar. Place your stop at the SL line. Your targets are TP1, TP2, and TP3 as shown on the chart. Step five: TP1 and TP2 mark themselves with yellow dots as they are hit. The trade closes automatically in the visual display when TP3 or SL is reached, and all lines are removed cleanly. CHART EXAMPLE The Science of Price Coiling : Silver 5m Price surged aggressively into the session high zone, driven by strong buying momentum. But at the extreme, buyers ran out of fuel. Over the next 4 bars, the range shrank bar by bar, candles got smaller, volatility dried up, and neither buyers nor sellers could dominate. This is the coil: not random sideways movement, but compressed energy at an unstable equilibrium. The longer price holds at an extreme without continuing, the more it signals that the side that drove it there is exhausting. When sellers finally overwhelmed the weakened buyers, price broke below the coil floor in a single decisive bar, releasing all stored tension in one direction. That break was not a prediction. It was a consequence. The compression was the warning, the location was the context, and the break was simply the market resolving the imbalance it had been building. This is what VCE detects, not the move itself, but the conditions that make the move inevitable. --- ALERT SETUP Two alert conditions are built in: VCE Long Signal fires on bar close when a LONG setup triggers. VCE Short Signal fires on bar close when a SHORT setup triggers. To activate : open the Alerts panel, select Create Alert, choose VCE as the condition source, and select either Long Signal or Short Signal. Set the trigger to Once Per Bar Close. No additional configuration is needed. --- INPUTS REFERENCE Sensitivity: Conservative, Balanced, or Aggressive preset. Controls compression tightness, minimum coil length, zone threshold, and break definition simultaneously. Catalyst Mode: Enables post-impulse coil detection. Recommended ON for all markets. Use Manual Overrides: Replaces the sensitivity preset with the four manual parameters below it. Min Bars: Minimum consecutive compression bars required before a coil qualifies. Max Bars: Maximum coil length before the coil is invalidated and reset. Contraction Ratio: Local ATR must be below this fraction of the background ATR to register as a compressed bar. Extreme Zone Percent: Defines what fraction of the session range constitutes the high and low extreme zones. Background ATR Period: Smoothing period for the volatility baseline used in compression detection. Session Range Lookback: Number of bars defining the rolling session high and low. ATR Period: Period for the ATR used in stop and target calculations. Post-Outcome Bar Gap: Minimum bars of silence after a trade closes before the next signal can fire. SL Buffer: ATR multiplier added beyond the coil extreme when calculating the structural stop. Min SL Distance: Floor for the stop distance as an ATR multiple. Prevents unrealistically tight stops. Max SL Distance: Ceiling for the stop distance as an ATR multiple. Prevents absurdly wide stops on tall coils and keeps all TP levels proportionally realistic for the chosen timeframe. TP1, TP2, TP3: Take-profit levels as multiples of the stop distance. Label Right Offset: Controls how far to the right floating price labels appear. Minimalist Signal Card: Shows only LONG or SHORT on the signal card when enabled. Show Coil Box: Toggles the live orange compression box. Highlight Signal Bar: Toggles background tinting on signal bars. Show Concentric Ring Signature: Toggles the nested ring visual at signal bars. Show Dashboard: Toggles the status panel. Theme: Dark or Light. Adjusts all label, line, and panel colors for chart background compatibility. Position: Sets the dashboard anchor position on the chart. --- NOTES ON PERFORMANCE AND EXPECTATIONS VCE identifies a specific structural pattern. Not every coil produces a sustained reversal. Session context, macro flow, and news events all influence whether a given setup follows through. The tool provides a systematic framework for identifying the pattern and managing the trade once it fires. Risk management decisions remain with the trader. The post-outcome bar gap input exists to prevent the engine from immediately re-entering after a stopped trade. This is a deliberate design choice, not a limitation. --- DISCLAIMER This script is published for educational and informational purposes only. It is not financial advice and does not constitute a recommendation to buy or sell any financial instrument. Past signal behavior does not guarantee future results. Trading involves significant risk of loss. Always conduct your own research and apply your own risk management framework before making any trading decision.
Indicateur Pine Script®
par BullByte
Elaris Liquidity Zones Pro# Elaris Liquidity Zones Pro Liquidity-Based Market Structure & Price Zone Visualization Elaris Liquidity Zones Pro is a charting tool designed to help traders visualize liquidity-oriented price areas and market structure behavior. Rather than using only traditional support and resistance concepts, the indicator focuses on swing structures, equal highs/lows, and liquidity-style reactions that may become relevant during price movement. The goal is to provide additional market context in a clean and structured way. --- ## Features ### Adaptive Liquidity Zones * Detects swing-based price areas automatically * Uses volatility-aware calculations for dynamic zones * Displays potential buy-side and sell-side liquidity regions ### Equal High / Equal Low Detection * Highlights clustered highs and lows * Includes tolerance filtering to reduce insignificant levels * Helps visualize areas where liquidity may accumulate ### Liquidity Sweep Detection * Detects potential sweep behavior around key levels * Highlights rejection-style reactions after liquidity grabs * Can assist with identifying shifts in short-term momentum ### Dynamic Zone States Zones update based on price interaction: * Fresh * Tested * Swept * Invalidated This helps traders monitor how price responds to previously identified areas. ### Strength Filtering * Filters weaker zones using structural conditions * Designed to reduce unnecessary chart noise * Allows focus on more relevant levels ### Visual Customization * Box-style zone visualization * Optional midpoint lines * Minimal labeling for cleaner charts ### Alerts Available alerts include: * Liquidity zone touch * Sweep detection * Zone invalidation Useful for both active chart monitoring and alert-based workflows. --- ## Example Use Cases * Studying market structure behavior * Monitoring equal highs and lows * Identifying potential liquidity sweeps * Adding context to support/resistance analysis * Improving chart organization and trade planning --- ## Notes This script is intended as a market structure and liquidity visualization tool. It does not predict future price movement and should be used alongside a trader’s own analysis and risk management. --- ## Disclaimer This indicator is provided for educational and informational purposes only and does not constitute financial advice.
Indicateur Pine Script®
par ElarisGroup
Arc Momentum Oscillator [BOSWaves]Arc Momentum Oscillator - Acceleration-Driven Arc Engine with Adaptive Momentum Tracking and Divergence Detection Overview Arc Momentum Oscillator is a momentum-based trend oscillator that tracks directional price commitment through an acceleration-driven arc engine, where arc positioning, trend state, and flip signal generation are determined by the relationship between a smoothed centered RSI momentum line and a dynamically accelerating arc that chases momentum from a volatility-scaled starting distance rather than from fixed thresholds or static level crossovers. Instead of relying on conventional overbought and oversold threshold crossings or moving average crossovers, trend state is determined by the relative position of momentum and the arc, with the arc launching from a standard deviation-scaled offset on each trend flip and accelerating progressively toward momentum until the relationship reverses. This creates a trend detection mechanism that adapts its sensitivity to the instrument's actual momentum volatility rather than applying identical thresholds regardless of market conditions. This creates an oscillator that reflects genuine momentum dynamics rather than arbitrary indicator levels. The arc contracts toward momentum during sustained trending conditions as acceleration builds, produces flip signals only when momentum crosses the arc with sufficient separation to clear a volatility-scaled buffer, and maps momentum strength visually through cloud fill intensity, strength bands, and extreme zone highlighting that collectively reveal conviction state at a glance. Price is therefore evaluated against an arc that adapts to momentum volatility, accelerates with trend persistence, and resets to a calibrated starting distance on each directional change rather than reacting identically to every momentum fluctuation. Conceptual Framework Arc Momentum Oscillator is founded on the principle that meaningful trend signals in momentum space emerge from the acceleration dynamics between price momentum and a trailing arc, not from momentum crossing fixed reference levels that carry no adaptive relationship to the instrument's current volatility regime. Traditional momentum oscillators identify directional changes through threshold crossovers at fixed levels such as 50, 70, or 30, which treat all momentum readings identically regardless of how significant they are relative to recent momentum behavior. This framework replaces static-threshold logic with an acceleration-based arc system where flip significance is measured relative to the current standard deviation of momentum, and arc behavior evolves continuously based on how long the current trend has persisted. Three core principles guide the design: Trend flips should require momentum to breach the arc by a volatility-scaled buffer, ensuring signal generation reflects statistically meaningful momentum displacement rather than marginal crossovers. The arc should accelerate progressively during trend persistence, contracting toward momentum as conviction builds and reflecting weakening trend strength as the gap narrows. Momentum strength and extreme conditions should be visualized through adaptive fills and strength bands rather than fixed reference lines, providing continuous conviction context across varying volatility regimes. This shifts oscillator analysis from static threshold monitoring into dynamic arc-momentum relationship tracking where signal significance is continuously calibrated to prevailing momentum volatility. Theoretical Foundation The indicator combines RSI-based momentum sourcing, exponential smoothing and centering, standard deviation-based adaptive unit calculation, acceleration-driven arc mechanics, and pivot-based divergence detection between price and the oscillator. The RSI is calculated over a short configurable period and centered around zero by subtracting fifty, creating a momentum reading that oscillates between negative and positive territory reflecting bearish and bullish momentum respectively. An EMA smoothing pass reduces noise before the arc engine processes the momentum line. The standard deviation of momentum over a rolling window provides the adaptive unit that scales all arc behavior, including launch distance, flip buffer, and step size, ensuring the system responds proportionally to actual momentum variance. The arc accelerates by incrementing its velocity on a configurable smoothing interval, producing progressively faster convergence toward momentum during sustained trends. Four internal systems operate in tandem: Momentum Source Engine : Calculates RSI over the configured length, centers it around zero, and applies EMA smoothing to produce a clean directional momentum reading that serves as the primary oscillator line. Adaptive Unit Calculation : Derives a rolling standard deviation of momentum to produce a volatility-normalized unit that scales arc launch distance, flip buffer threshold, and step size adaptively to current momentum behavior. Arc Acceleration Engine : Maintains arc position and velocity state, launching the arc from a standard deviation-scaled offset on each flip, incrementing velocity on each smoothing interval, and advancing the arc toward momentum at a rate that grows with trend persistence. Divergence Detection System : Identifies confirmed pivot highs and lows on the momentum oscillator and compares them against corresponding price pivots, detecting regular bearish divergence where price makes higher highs against lower oscillator highs and regular bullish divergence where price makes lower lows against higher oscillator lows. This design allows the oscillator to reflect both the direction and the conviction dynamics of momentum while simultaneously monitoring the relationship between price structure and oscillator structure for divergence conditions. How It Works Arc Momentum Oscillator evaluates price through a sequence of momentum-aware and acceleration-driven processes: RSI Calculation and Centering : RSI is calculated over the configured length and shifted by subtracting fifty, producing a centered momentum reading where positive values reflect bullish RSI conditions and negative values reflect bearish conditions. Momentum Smoothing : EMA smoothing is applied to the centered RSI over the configured smoothing length, reducing bar-to-bar noise and producing the primary momentum line that the arc engine tracks. Adaptive Unit Derivation : The standard deviation of momentum over a 100-bar rolling window provides the adaptive unit that governs all volatility-scaled arc behavior throughout the session. Arc Initialization : On first activation after sufficient bars for standard deviation calculation, the arc is placed below momentum at a distance equal to the adaptive unit multiplied by the Start Distance parameter, with velocity initialized to zero. Flip Detection : Each bar tests whether momentum has crossed the arc by more than a volatility-scaled buffer in the opposing direction. A cross below the arc minus buffer triggers a bearish flip; a cross above the arc plus buffer triggers a bullish flip. Arc Reset on Flip : When a flip is detected, the arc resets to a new starting position on the opposite side of momentum at the full Start Distance offset and velocity resets to zero, beginning a fresh acceleration cycle in the new trend direction. Arc Acceleration : On bars that fall on the configured smoothing interval, arc velocity increments by the configured Arc Speed value and the arc advances toward momentum by the adaptive step size multiplied by current velocity, producing progressively faster arc convergence as the trend persists. Cloud Fill Rendering : The area between the arc and momentum line is filled with the trend direction color at a configurable transparency, with fill intensity providing a visual representation of the gap between arc and momentum. Strength Band Rendering : Gradient-filled bands in the extreme oscillator zones scale their opacity based on how far momentum sits from the midline relative to the configured range, providing a continuous strength visualization that intensifies as momentum approaches extreme territory. Divergence Evaluation : On each confirmed momentum pivot, recent pivot history is scanned for divergence conditions between price and oscillator structure within the configured minimum and maximum pivot distance range, with qualifying divergences drawing connecting lines on both the oscillator and the price chart. Together, these elements form a continuously updating momentum framework where arc dynamics reveal trend conviction, flip signals reflect statistically significant momentum shifts, and divergence detection identifies structural disagreement between price and momentum before directional changes occur. Interpretation Arc Momentum Oscillator should be interpreted as an acceleration-driven momentum conviction system with structural divergence monitoring: Bullish Trend State (Green) : Active when momentum is above the arc with sufficient buffer separation, indicating upward momentum has breached the arc threshold and the arc is accelerating from below to track the developing upside conviction. Bearish Trend State (Red) : Active when momentum is below the arc with sufficient buffer separation, indicating downward momentum has breached the arc threshold and the arc is accelerating from above to track the developing downside conviction. Arc Line : The grey trailing arc represents the dynamic boundary that momentum must cross to trigger a trend flip. Its proximity to momentum reflects accumulated trend age as the arc accelerates and converges toward the momentum line during sustained conditions. Momentum Line : The colored primary oscillator line reflects smoothed centered RSI momentum, with positive readings above zero indicating bullish momentum dominance and negative readings below zero indicating bearish momentum dominance. Cloud Fill : The gradient fill between arc and momentum line is colored by current trend direction, with a wider gap producing a more prominent fill that visually represents the distance between momentum and its trailing arc. Strength Bands : Gradient-filled zones in the upper and lower extreme areas intensify in opacity as momentum approaches and enters extreme territory, providing a continuous strength reading that reflects how far momentum has extended relative to the oscillator's range. Extreme Zone Background : Subtle background tinting activates when momentum exceeds the configured extreme threshold in either direction, providing an immediate visual cue that momentum is in statistically elevated territory. Reference Rails : The zero midline, plus and minus 25 reference levels, and the configurable extreme threshold lines provide orientation anchors across the oscillator's momentum range without imposing fixed signal thresholds. Flip Arrows : Small triangle markers appear on the price chart at arc flip bars, with upward triangles for bullish flips and downward triangles for bearish flips, positioned at a configurable offset from the arc for visibility. Divergence Lines : Connecting lines drawn on both the oscillator and the price chart at divergence pivot points highlight structural disagreement between price and momentum, with bullish divergence lines in green and bearish divergence lines in red. Divergence Labels : Bull and Bear labels appear at confirmed divergence pivot points on the oscillator pane, identifying the divergence type for immediate reference. Trend Candles : Optional candle coloring on the price chart reflects current arc trend state, providing directional context on the main chart without requiring the oscillator pane to be in view. Arc proximity to momentum, flip signal frequency, strength band opacity, and divergence conditions collectively provide more information than any element in isolation. Signal Logic & Visual Cues Arc Momentum Oscillator presents two primary arc interaction signals alongside continuous divergence monitoring: Bullish Arc Flip : Triggered when momentum crosses above the arc by more than the volatility-scaled buffer, causing the arc to reset below momentum at the full Start Distance offset and begin a fresh bullish acceleration cycle. Bearish Arc Flip : Triggered when momentum crosses below the arc by more than the volatility-scaled buffer, causing the arc to reset above momentum at the full Start Distance offset and begin a fresh bearish acceleration cycle. Divergence detection provides secondary reversal context, with bullish divergence identifying price weakness not confirmed by oscillator structure and bearish divergence identifying price strength not confirmed by oscillator structure. Alert generation covers bullish and bearish arc flips and entry into bull and bear extreme zones for systematic momentum monitoring workflows. Strategy Integration Arc Momentum Oscillator fits within momentum-informed and conviction-tracking approaches across trend-following and reversal frameworks: Flip-Based Directional Entries : Use arc flip signals as momentum regime change confirmations, entering in the flip direction when the arc reset occurs after a statistically significant momentum breach rather than at arbitrary oscillator levels. Arc Convergence Monitoring : Track the closing distance between the arc and momentum during established trends as a real-time conviction gauge; tight arc-to-momentum gaps indicate mature trend conditions where a flip becomes increasingly possible with minimal additional momentum deterioration. Extreme Zone Context : Use extreme background tinting and strength band intensity as momentum extension warnings rather than reversal signals, treating extended extreme readings with the caution appropriate to overextended momentum states. Divergence-Confirmed Reversals : Use divergence signals as anticipatory context for potential arc flips, weighting flip signals more heavily when a divergence condition has formed in the bars preceding the flip rather than treating them as independent signals. Trend Candle Alignment : Use trend candle coloring on the price chart to maintain arc trend state awareness when analyzing price action directly, ensuring entry and exit decisions remain aligned with the current oscillator regime. Multi-Timeframe Momentum Confirmation : Apply higher-timeframe arc trend state as a directional momentum filter, favoring trades where lower-timeframe flip signals align with the established higher-timeframe arc direction rather than opposing it. Technical Implementation Details Momentum Source : RSI-centered around zero with configurable length and EMA smoothing pass Adaptive Unit : Rolling 100-bar standard deviation of momentum for volatility-normalized arc scaling Arc Engine : Stateful acceleration system with velocity accumulation, smoothing-interval advancement, and flip-triggered reset Flip Buffer : Volatility-scaled separation requirement preventing marginal arc crossovers from triggering flips Divergence System : Pivot array-based regular divergence detection with configurable pivot size, minimum and maximum distance, and cooloff between successive divergences of the same type Visualization : Cloud fill, adaptive strength bands, extreme background tinting, reference rails, and divergence lines on both oscillator and price chart Signal Output : Flip arrows on price chart, divergence labels on oscillator pane, and optional trend candle coloring Performance Profile : Optimized for real-time execution across all timeframes with adaptive unit calculation ensuring consistent behavior across instruments with different volatility characteristics Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Rapid flip detection for scalping with shorter RSI length and higher arc speed for faster momentum tracking 15 - 60 min : Intraday momentum regime identification with balanced smoothing and moderate arc acceleration settings 4H - Daily : Swing-level momentum trend tracking with longer smoothing and slower arc speed for sustained conviction measurement Suggested Baseline Configuration: RSI Length : 5 Momentum Smoothing : 17 Arc Speed : 0.11 Start Distance (σx) : 3.5 Arc Smoothing : 5 Extreme Threshold : 30 Show Cloud Fill : Enabled Show Reference Rails : Enabled Highlight Extremes : Enabled Calculate Divergences : Enabled Show Trend Candles : Enabled These suggested parameters should be used as a baseline; their effectiveness depends on the instrument's momentum characteristics, volatility profile, and preferred flip frequency, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Too many arc flips : Increase Start Distance to place the arc further from momentum on each reset, requiring more sustained momentum displacement before a flip registers, or increase Momentum Smoothing to reduce the noise feeding into the arc engine. Arc flips too infrequent : Decrease Start Distance toward 2.0 for a tighter initial arc offset, or increase Arc Speed so the arc converges faster and becomes more sensitive to momentum reversals as the trend matures. Arc converges too slowly : Increase Arc Speed to accelerate the rate at which the arc closes the gap to momentum, producing earlier flip sensitivity during sustained trend conditions. Arc converges too quickly : Decrease Arc Speed toward 0.02 to slow convergence, maintaining a wider arc-to-momentum gap for longer and requiring more significant momentum deterioration before a flip becomes possible. Momentum line too noisy : Increase Momentum Smoothing toward 20 for a cleaner momentum line with less bar-to-bar reactivity, or increase RSI Length for a slower underlying momentum source. Extreme highlights activating too often : Increase Extreme Threshold toward 40 or 50 to restrict background tinting to only the most significant momentum extension events. Too many divergence signals : Increase Pivot Left and Right values to demand more structurally significant pivot confirmations, or increase the minimum pivot distance to prevent closely-spaced pivots from qualifying for divergence comparison. Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions. Performance Characteristics High Effectiveness: Trending markets where momentum builds and sustains in one direction, allowing arc acceleration to develop meaningful convergence before the next flip Instruments with consistent RSI behavior where centered momentum reliably reflects directional conviction and the standard deviation unit stabilizes quickly after initialization Momentum continuation strategies using arc flip signals as regime change confirmations rather than as precise entry timing tools Divergence-aware reversal approaches where oscillator structure disagrees with price structure ahead of trend changes, providing anticipatory context for flip signals Reduced Effectiveness: Choppy, low-momentum markets where rapid alternation between bullish and bearish RSI conditions produces frequent arc flips without sustained directional follow-through Extremely low-volatility environments where momentum standard deviation collapses and the adaptive unit loses its discriminative power for scaling arc behavior News-driven or gap-heavy instruments where sudden momentum spikes trigger arc flips that immediately reverse before the acceleration cycle develops meaningful convergence Markets with inconsistent RSI dynamics where the centered momentum line fails to produce clean pivot structure, reducing divergence detection reliability Consolidation and sideways conditions where momentum oscillates near zero without sufficient directional displacement to sustain arc trend states or produce clean flip sequences Integration Guidelines Confluence : Combine with BOSWaves structural tools, volume analysis, or adaptive band indicators to validate arc flip signals with price structure and participation context Arc Convergence Awareness : Monitor arc-to-momentum distance as a real-time trend maturity indicator; tightly converged arc conditions suggest a flip requires minimal further momentum deterioration and warrant increased vigilance Divergence Respect : Treat divergence signals as context-building evidence rather than standalone triggers; their value increases when they precede an arc flip in the divergence direction rather than occurring in isolation Extreme Zone Caution : Avoid initiating new positions in the direction of extreme momentum readings; use extreme zone detection as a signal to monitor for arc convergence and potential flip conditions rather than as a continuation entry context State Discipline : Maintain directional bias aligned with the current arc trend state until a confirmed flip occurs. Short-term momentum oscillations toward zero that do not breach the arc with sufficient buffer do not constitute trend changes. Disclaimer Arc Momentum Oscillator is a professional-grade momentum analysis and divergence detection tool. It uses acceleration-driven arc mechanics with volatility-normalized momentum measurement but does not predict future price movements. Results depend on market conditions, instrument momentum 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.
Indicateur Pine Script®
par BOSWaves
3
Elaris 1D High-Low Boxes Pro# Elaris 1D High-Low Boxes Pro This indicator was built around a simple idea: Higher timeframe ranges often control intraday price behavior more than most traders realize. The script maps Daily range activity directly onto lower timeframes and focuses on how price reacts around previous highs, lows, compression zones, and liquidity areas during the session. Instead of plotting static support/resistance levels, the indicator continuously tracks the active Daily range and updates its structure in real time as the session develops. Main features included in the script: • Dynamic Daily high-low boxes • Previous Daily high/low projections • Liquidity sweep detection • Volatility compression detection • Expansion projection levels • Market condition dashboard • Bullish/Bearish range visualization The liquidity sweep logic is designed to highlight situations where price trades above or below a previous Daily level and quickly reclaims the range. These areas can sometimes provide useful context for reversals, failed breakouts, or continuation setups. The compression engine monitors decreasing Daily ranges and attempts to identify periods where volatility is contracting before expansion. When compression conditions appear, the script labels the chart to indicate potential pressure buildup. Projected expansion zones are calculated using previous Daily range behavior and can be used as reference areas during breakout conditions. Recommended usage: * Intraday trading * Scalping * Session trading * Market structure analysis * Liquidity-based trading models Recommended chart timeframes: * 5m * 15m * 30m * 1H The script is intended as a market context and visualization tool rather than a standalone trading system. Built by ElarisGroup.
Indicateur Pine Script®
par ElarisGroup
Parabolic SAR Smart Filter [MarkitTick]💡 The Parabolic SAR Smart Filter is a sophisticated trend-following tool designed to enhance the traditional Parabolic Stop and Reverse (SAR) indicator with modern algorithmic filters. While the standard SAR is a staple in technical analysis for identifying trend direction and potential reversal points, it is notorious for producing false signals in sideways or low-volatility markets. This script addresses those limitations by integrating multi-timeframe (MTF) alignment, liquidity sweep detection, and volatility-normalized momentum scoring. By combining these advanced concepts, the indicator provides a high-fidelity visual experience through its "3D Neon" rendering engine, while offering a robust backend for automated trading via JSON-ready webhooks. ● ✨ Originality and Utility The primary utility of this indicator lies in its ability to separate high-probability trend shifts from noise. Standard indicators often operate in a vacuum, ignoring the context of higher timeframes or the underlying liquidity structure of the market. The Smart Filter breaks this mold by introducing three critical layers of verification: • Multi-Timeframe Trend Gating The script allows users to select a higher timeframe (HTF) as a trend filter. A signal is only considered valid if the local trend aligns with the HTF direction. This prevents traders from fighting the "big picture" momentum, which is a common pitfall in trend-following strategies. • Liquidity Sweep Integration In modern market environments, institutional "stop hunts" or liquidity sweeps often precede genuine moves. This indicator identifies when a SAR flip occurs immediately after a sweep of local highs or lows, providing an additional layer of confidence that the reversal is backed by real capital movement rather than a minor price fluctuation. • Neon Decay Visualization Unlike static indicators, the "3D Neon" engine visualizes the "age" of a trend. As a trend matures, the visual intensity of the SAR dots fades. This creates an intuitive psychological cue for the trader, signaling that a trend may be reaching exhaustion or that the risk/reward ratio for new entries is diminishing. ● 🔬 Methodology and Concepts The script is built upon several interconnected logical modules that process market data in real-time to generate actionable insights. • SAR Logic and State Machine The core engine utilizes a standard Parabolic SAR calculation, but it is encapsulated within a custom "Signal Engine" type. This engine tracks not just the current price, but the entry price, risk distance, and direction flips. This state-persistent approach allows for precise calculations of risk-to-reward ratios immediately upon a trend reversal. • Momentum Score Calculation The momentum score is a volatility-normalized metric. It is calculated by dividing the absolute distance between the current close and the SAR value by the Average True Range (ATR). This creates a "Sigma" style score that tells the trader how "extended" the price is relative to its average volatility. A high score suggests strong trend momentum, while a low score indicates a stagnant or consolidating market. • Liquidity Sweep Logic The sweep detection module looks back over a user-defined window (Sweep Lookback). It checks if the current low (for a bullish flip) is lower than the previous period's low, or if the current high (for a bearish flip) is higher than the previous period's high. If a SAR flip occurs under these conditions, it is flagged as a "Sweep Signal," suggesting that the market has purged liquidity before reversing. • Early Warning System To assist with trade management, the script calculates an "Early Warning" threshold. If the price returns to within 10% of the initial entry risk distance from the SAR dot, the script triggers a visual warning. This helps traders anticipate stops or adjust their trailing logic before a full reversal occurs. ● 🎨 Visual Guide The chart interface is designed for clarity and rapid data interpretation through color theory and geometric shapes. • The 3D Neon SAR The SAR is rendered as a three-layered circle: Core, Inner Glow, and Outer Glow. Neon Blue represents a Bullish trend, while Neon Orange/Amber represents a Bearish trend. The transparency of these layers increases as the trend persists (Neon Decay), making the visuals "glow" brightly at the start of a move and fade as it ages. • Neon Candles The script includes an optional "Neon Candles" mode. This colors the entire candle body and wick to match the current SAR trend direction. This provides a cohesive visual experience and reduces the cognitive load required to identify the current market bias. • Specialized Shapes and Labels Triangle Up/Down: Small yellow triangles appear on the SAR dots when the "Early Warning" system is active, signaling price proximity to the invalidation point. Label Up/Down: Bright yellow labels appear below (for buys) or above (for sells) a bar when a "Liquidity Sweep" is detected at the moment of a trend flip. • Dark-Mode Analytics Dashboard Located in the top-right corner, the dashboard provides a real-time summary. Trend State: Displays "BULLISH" or "BEARISH" in high-contrast text. Entry Trigger: The exact price where the most recent SAR flip occurred. Target (TP) and Invalidation (SL): Dynamic price levels based on the configured Risk/Reward ratio. Momentum Bar: A visual power bar (█░) that changes color based on the current momentum score (Green for High, Yellow for Medium, Gray for Low). MTF Context: Displays "ALIGNED" or "DIVERGED" based on the higher timeframe status. ● 📖 How to Use Effective utilization of the Smart Filter involves combining the visual signals with the dashboard metrics to form a comprehensive trade thesis. Identify a Trend Flip: Wait for the Parabolic SAR dots to switch from above the price to below (Bullish) or vice versa (Bearish). Verify MTF Alignment: Check the dashboard or the MTF Context label. High-probability trades occur when the current timeframe trend matches the Higher Timeframe trend. Check for Liquidity Sweeps: Look for the yellow "Sweep" labels. A flip that occurs after a liquidity sweep is often more reliable as it indicates a "washout" of weak hands. Assess Momentum: Before entering, ensure the Momentum Power Bar is at least yellow or green. Low momentum (gray) indicates a lack of conviction in the move. Set Risk Management: Use the TP and SL levels provided in the dashboard. The Stop Loss is always placed at the SAR level, while the Take Profit is projected based on your preferred Risk/Reward ratio. Monitor Early Warnings: If the yellow triangles appear on the SAR dots, be prepared for a potential exit or trend shift, as price is encroaching on the SAR invalidation zone. ● ⚙️ Inputs and Settings The indicator is highly customizable to fit various asset classes and trading styles. • SAR Logic Group SAR Start/Increment/Maximum: Controls the sensitivity and "acceleration" of the Parabolic SAR. Lower values make the SAR more trailing and slower, while higher values make it more sensitive to price changes. Risk/Reward Ratio: Determines the distance of the Take Profit level relative to the distance between the entry price and the SAR stop loss. ATR Length: Adjusts the window for the volatility calculation used in the Momentum Score. • Visuals — 3D Neon Group Neon Up/Down Colors: Allows full customization of the base and glow colors. Neon Decay Duration: Sets how many bars it takes for the SAR dots to reach their maximum transparency. Longer durations keep the "glow" visible for longer trends. Enable Bar Coloring: Toggles the neon-colored candle bodies. • MTF Alignment Group Higher Timeframe: Select the timeframe used for the trend gate (e.g., if trading on the 15m, you might set this to 1H or 4H). • Liquidity Sweep Group Sweep Lookback: The number of preceding bars checked to determine if the reversal occurred after a break of a significant high or low. ● 🔍 Deconstruction of the Underlying Scientific and Academic Framework The Parabolic SAR Smart Filter is grounded in several quantitative and behavioral finance theories. • Volatility Normalization (ATR Theory) The integration of the Average True Range (ATR) to calculate momentum scores is based on the principle of volatility normalization. In financial mathematics, price movement is often "noisy." By dividing the price-to-SAR distance by the ATR, we essentially convert price distance into units of standard volatility. This allows for a more objective comparison of trend strength across different assets regardless of their nominal price or historical volatility. • Market Microstructure and Liquidity Theory The liquidity sweep detection logic is an application of Market Microstructure theory, specifically the concept of "Informationless Trades." Large institutional participants often require significant liquidity to enter positions, which is frequently found at levels where retail stop-losses are clustered (just below recent lows or above recent highs). Identifying a "sweep" before a trend reversal aligns the indicator with the concept of "Smart Money" accumulation or distribution. • Fractal Market Hypothesis (MTF Alignment) The use of multi-timeframe alignment is supported by the Fractal Market Hypothesis (FMH). FMH suggests that financial markets are fractal in nature and that trends on lower timeframes are nested within larger trends on higher timeframes. By requiring alignment between timeframes, the script seeks to capitalize on the "Self-Similarity" of market trends, increasing the probability that the local move is supported by a larger structural shift. • Decay Functions and Time-Decay Bias The Neon Decay visualization applies a linear decay function to the trend's age. This is academically related to the concept of "Trend Maturity Bias," where the probability of a trend continuation decreases (and the variance of price increases) as the trend persists over time. Visualizing this decay provides a non-linear representation of risk that standard technical indicators lack. ⚠️ 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.
Indicateur Pine Script®
par MarkitTick
7
Pivot Points [DecodingFlowLab]Pivot Points A clean and lightweight pivot structure indicator designed to detect significant swing highs and swing lows directly from market structure. This tool uses a symmetric pivot detection model based on a configurable depth value to identify confirmed turning points in price action. ━━━━━━━━━━━━━━ How It Works ━━━━━━━━━━━━━━ • The indicator scans both sides of the candle using the selected “Depth” value. • A Pivot High is confirmed only when the candle’s high is greater than the highs of surrounding candles. • A Pivot Low is confirmed only when the candle’s low is lower than the lows of surrounding candles. • Signals are plotted only after confirmation to reduce market noise and false swings. ━━━━━━━━━━━━━━ Smart Filtering Logic ━━━━━━━━━━━━━━ The script includes an internal directional filtering mechanism: • If a new higher pivot high appears, the previous pivot high is automatically replaced. • If a new lower pivot low appears, the previous pivot low is replaced as well. This creates a cleaner market structure view and prevents unnecessary duplicate pivots. ━━━━━━━━━━━━━━ Features ━━━━━━━━━━━━━━ ✔ Clean visual swing detection ✔ Dynamic replacement of weaker pivots ✔ Adjustable pivot sensitivity using “Depth” ✔ Offset plotting to avoid candle overlap ✔ Lightweight and optimized ✔ Useful for market structure analysis ✔ Can assist with: • Swing Trading • Trend Analysis • Liquidity Mapping • BOS / CHOCH concepts • Support & Resistance identification ━━━━━━━━━━━━━━ Inputs ━━━━━━━━━━━━━━ • Depth Controls pivot sensitivity. Higher values = stronger but fewer pivots. • plotShift Moves pivot markers away from candles for better chart visibility. • Pivot Colors Custom colors for highs and lows. ━━━━━━━━━━━━━━ Best Use Cases ━━━━━━━━━━━━━━ This indicator works especially well for: • Market Structure traders • Smart Money Concept (SMC) traders • Swing traders • Liquidity-based analysis • Manual chart markup ━━━━━━━━━━━━━━ Important Note ━━━━━━━━━━━━━━ Because pivots require future candle confirmation, signals appear after the structure is confirmed. This behavior is intentional and helps filter out weak or temporary swings. Built by DecodingFlowLab. Disclaimer This indicator is provided for educational and informational purposes only and should not be considered financial advice, investment advice, or a recommendation to buy or sell any financial instrument. The indicator does not provide guaranteed entry or exit signals for trading positions. Financial markets involve significant risk, and past performance does not guarantee future results. Users are solely responsible for their own trading decisions, risk management, and use of this indicator in any market or trading environment. The publisher, developer, and distributor of this indicator assume no responsibility or liability for any financial losses, damages, or outcomes resulting from the use or misuse of this indicator.
Indicateur Pine Script®
par karamfarouk22
Order Block Detector [SMC ChartSense]# SMC ChartSense — Order Block Detector **Order block detection with mandatory FVG (Fair Value Gap) confirmation.** Each zone marked must have a 3-bar FVG at the anchor candle — institutional displacement that left a literal gap in price. Most basic OB scripts flag every breakout candle as an order block; this script filters to only the zones that came with displacement footprint, producing a cleaner chart with fewer but more meaningful zones. ## How it works The script tracks swing pivots at a configurable length and waits for a confirmed break — a candle that closes beyond the prior swing high or low. When a break occurs, it searches back through the recent bars to identify the deepest counter-direction candle (lowest low for a bullish OB, highest high for a bearish OB). This becomes the OB anchor. The anchor is then validated against the FVG requirement: there must be a 3-bar gap at the anchor index (bar A high below bar C low for bullish, bar A low above bar C high for bearish). No FVG, no OB. This is the central quality filter. Validated zones extend forward from the anchor and remain active until invalidated — either when price closes through the zone or when the wick touches the far side, depending on user preference. ## Features - FVG validation gate at the anchor candle (3-bar gap requirement) - Configurable swing pivot length for structural sensitivity - User-tunable OB anchor lookback (5–100 bars) - Wick-based or body-based zone definition - Configurable mitigation trigger: Close-through or Wick-touch - Auto-pruning of oldest OBs when active count exceeds limit - Optional faded display of mitigated zones for historical study - Built on Pine v6 with clean, maintainable architecture ## Inputs **Structure Detection** - *Swing Pivot Length* — Higher values produce fewer, more significant pivots. Lower values produce more frequent pivots of smaller structural significance. Default: 5. **Quality Filters** - *OB Anchor Lookback Bars* — How far back from a confirmed pivot break to search for the OB anchor candle. Default 30 covers most timeframes; reduce for scalping, increase for higher TFs. - *Anchor OB to Wick (vs Body)* — Wick mode uses the full candle range. Body mode uses open/close only (tighter zones). - *Mitigation Trigger* — Close mode invalidates when a candle closes through the zone. Wick mode invalidates on first wick touch. **Visualization** - Bull/Bear OB colors (customizable) - Max OBs Per Side (caps active display, oldest auto-pruned) - Show OB Labels (off by default — boxes alone are usually sufficient) - Show Midline (50% level inside each OB, dotted) - Keep Mitigated OBs Visible (faded gray boxes remain for historical reference) ## Built-in alerts - New Bull OB formed - New Bear OB formed - Bull OB touched (price entered zone) - Bear OB touched (price entered zone) ## Suggested use Best on liquid intraday markets — major forex pairs, crypto perps, index futures, large-cap equities — at timeframes from 5m to 4h. Default settings are tuned for 15m–1h ranges; adjust Swing Pivot Length down to 3 for scalping or up to 8–10 for higher-TF trend trading. Use this as a context tool. The zones identify where institutional displacement occurred — actual entries should incorporate your own analysis: HTF bias, structural alignment with current market regime, risk-reward planning, and confirmation from other tools. ## Part of the SMC ChartSense suite One of several focused SMC tools. Designed to work alongside other SMC ChartSense scripts for a coherent analytical workflow across the SMC vocabulary. ## Disclaimer This is a technical analysis tool. It does not provide investment advice or trade recommendations. The author is not a SEBI-registered Research Analyst. Use at your own risk; do your own due diligence.
Indicateur Pine Script®
par SMCChartSense
Smart Money Concept: Liquidity Sweep [MarkitTick]💡 The Smart Money Concept: Liquidity Sweep is an advanced technical suite engineered for precision algorithmic trading and comprehensive market analysis. this unified market intelligence hub tracks major market participant footprints by analyzing liquidity raids, structural shifts, and fair value gaps. It operates strictly on confirmed data to ensure zero lookahead bias, making it an authoritative tool for quantitative analysts and disciplined traders who demand rigorous data integrity. This system provides a complete and deterministic view of price action, abstracting complex market mechanics into clear, actionable signals. Every module within this script has been optimized for minimal execution overhead while maximizing analytical depth. ● ✨ Originality and Utility Unlike generic structure indicators that simply plot highs and lows, this tool integrates a proprietary Confluence Score Dashboard and a robust Liquidity Sweep Filter. It does not merely react to price crossing a level; it evaluates the nature of the interaction, distinguishing between genuine market structure shifts and manipulative liquidity sweeps orchestrated by large-cap market participants. By unifying ten distinct analytical modules into a single, performance-optimized architecture, it provides a complete and cohesive trading ecosystem without cluttering the chart. These modules range from Order Block mitigation tracking to Session Kill Zones and Premium/Discount mapping, ensuring all aspects of price action are covered. Furthermore, it is explicitly built for automation, seamlessly generating strictly formatted JSON payloads for direct routing to external execution platforms like PineConnector or 3Commas. These JSON webhooks dynamically calculate and transmit precise Entry, Take Profit, and Stop Loss parameters strictly utilizing format.mintick string conversions. ● 🔬 Methodology and Concepts The core engine operates on a multi-dimensional analysis framework, utilizing advanced market mechanics to decode price delivery algorithms: • Fractal Market Structure The script mathematically identifies key swing points to establish dynamic structural ranges. It accurately tracks the active trend and flags both Break of Structure (BOS) and Change of Character (CHoCH) events based on confirmed price closes. This ensures that the underlying trend logic is grounded in true market conviction rather than momentary volatility. • Liquidity Engineering The engine actively monitors previous pivot extremes for sweep conditions. This ensures that entries are backed by strategic liquidity harvesting from large-volume entities, rather than falling for premature breakouts or retail traps. • Multi-Timeframe Alignment The indicator employs a higher-timeframe variance filter to gauge the overarching trend direction. It utilizes offset data arrays with strict lookahead protection to ensure a strictly non-repainting bias confirmation across multiple chart periods. • Inefficiency Mapping The algorithm detects and maintains active Fair Value Gaps (FVG) and structural Inducements (IDM). It dynamically mitigates and clears these zones from the chart as price action naturally rebalances the market inefficiency, keeping the visual workspace clean. ● 🎨 Visual Guide The script provides a clean, highly actionable visual hierarchy directly on the chart to minimize cognitive load: Structure Candles: Candlesticks are dynamically colored to reflect the current internal state. They are painted Cyan during confirmed bullish structural trends and Magenta during confirmed bearish trends. Structural Lines and Labels: Dashed lines project horizontally from broken swing points. These lines are explicitly annotated with BOS or CHoCH labels indicating the exact direction and type of structural shift that occurred. Zone Fills (Boxes): Support and Resistance Zones: Cyan and Magenta boxes highlight active bullish and bearish Order Blocks (OB). Mitigated blocks dynamically change to a muted gray color to reduce visual noise. Premium and Discount Zones: When enabled, the active structural range is divided into a Magenta Premium zone, a white Equilibrium line, and a Cyan Discount zone. FVG Zones: Transparent graphical fills indicate unmitigated Fair Value Gaps waiting for price rebalancing. Session Kill Zones: Highlighted backgrounds map the Asian (Orange), London (Gold), and New York (Green) active trading windows for temporal confluence. Inducement Labels: Yellow IDM tags mark minor pullbacks that have been successfully swept, confirming liquidity capture. Confluence Dashboard: A dynamic text label appears precisely at the point of signal generation. It displays an aggregate score from 0 to 5, color-coded Green for High Confluence, Orange for Medium, or Red for Low. A detailed hover-tooltip breaks down the active filters contributing to the score. ● 📖 How to Use To maximize the utility of this robust tool, traders should seek alignment across multiple internal analytical modules: Establish Context: Begin by utilizing the Session Kill Zones and Premium/Discount areas to frame the current market environment. Ideal long setups originate deep within the Cyan Discount zone during active London or New York trading hours. Identify Liquidity Capture: Wait patiently for a confirmed liquidity sweep or the breaking of an Inducement (IDM) level. This validates that major market operators have accumulated positions and trapped counter-trend traders. Confirm the Shift: Monitor the chart for a valid BOS or CHoCH signal backed by the Confluence Score Dashboard. A score of 4 or 5 indicates exceptionally high alignment between HTF bias, liquidity sweeps, market gaps, and session timing. Execution and Risk: Upon signal generation, the script automatically plots the optimal entry point. It also calculates a dynamic ATR-based Stop Loss and a predefined Risk/Reward-based Take Profit. These exact price coordinates are simultaneously broadcast via the automated JSON alert webhook for seamless execution. ● ⚙️ Inputs and Settings The suite is highly customizable, divided into logical control groups for rapid configuration: • Market Structure Adjust the Swing Length sensitivity to filter out market noise and define the exact target Risk/Reward Ratio for automated signal generation. • Visuals Granular control is provided over all interface colors, including specific toggles for dynamic candle coloring and user-configurable zone opacities. • Toggleable Filter Modules Ten individual toggles allow users to enable or disable specific algorithmic engines, including: ① Liquidity Sweep Filter ② HTF Bias Filter (with customizable resolution) ③ Premium / Discount Zone ④ Session Kill Zones ⑤ Fair Value Gap Engine ⑥ Inducement Detection ⑦ MSS Body Confirmation (requires full body closes for valid structure breaks) ⑧ ATR-Adaptive SL (with custom length and standard deviation multiplier) ⑨ OB Mitigation Tracker ⑩ Confluence Score Dashboard ● 🔍 Deconstruction of the Underlying Scientific and Academic Framework The algorithmic foundation of this analytical suite is firmly anchored in Auction Market Theory and variance-adjusted statistical modeling. At its core, the indicator rejects the standard premise of random walk price action, instead modeling the financial market as a highly efficient, liquidity-seeking mechanism. By mathematically isolating structural extremes and standardizing pivot lengths, the engine calculates the probability of order flow absorption versus trend continuation. The script analyzes the temporal decay of market inefficiencies, specifically mapping how quickly Fair Value Gaps are rebalanced by subsequent price delivery. The inclusion of an ATR-adaptive risk model ensures that stop-loss parameters expand and contract proportionally to current market variance. This utilizes average true range standard deviations to normalize volatility, preventing premature stop-outs during periods of high structural stress. Furthermore, the proprietary Confluence Score relies on a multi-variate Boolean matrix. This matrix synthesizes time-domain variables (Session Zones), spatial distribution metrics (Premium/Discount mapping), and momentum vectors (HTF Bias) into a singular, quantized metric of setup validity. This deterministic mathematical approach removes subjective bias, relying purely on the physics of price delivery, volume distribution, and order flow imbalance. ⚠️ 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.
Indicateur Pine Script®
par MarkitTick
1
Hull Market Structure [BOSWaves]Hull Market Structure - Hull-Filtered Break of Structure Detection with Integrated Position Planning Overview Hull Market Structure is a structure-based trend identification system that detects Break of Structure and Change of Character events through swing pivot analysis filtered by Hull Moving Average trend direction, where signal validity, structural level plotting, and position tool generation are governed by the alignment between confirmed swing breaks and the underlying Hull trend state rather than raw price crossovers or unfiltered pivot reactions. Instead of relying on unqualified structure breaks that fire regardless of trend context, BOS and CHoCH events are gated by Hull trend direction, ensuring that bullish structural breaks only register during confirmed Hull uptrends and bearish structural breaks only register during confirmed Hull downtrends, eliminating a significant portion of counter-trend noise that plagues standard market structure implementations. This creates a structure detection framework that combines two independent but complementary layers of evidence: confirmed swing pivot breaks that identify structural shifts in price behavior, and Hull trend direction that filters those breaks for alignment with the dominant momentum state. When both layers agree, the indicator plots the structural event, labels it correctly as either a continuation BOS or a reversal CHoCH, and optionally deploys a full position planning tool with calculated entry, stop loss, and multi-target take profit levels. Price structure is therefore evaluated not in isolation but in the context of a momentum-validated trend framework, producing signals that reflect genuine structural agreement rather than mechanical pivot crossovers. Conceptual Framework Hull Market Structure is founded on the principle that break of structure signals carry meaningful directional information only when they occur in alignment with the prevailing momentum trend, and that the distinction between a trend continuation break and a character-changing reversal break carries significant strategic weight that standard BOS indicators routinely ignore. Traditional market structure tools plot every swing break regardless of trend context, producing frequent counter-trend signals that require manual filtering. This framework embeds that filtering directly into the detection logic, using the Hull Moving Average as a momentum validation layer that qualifies structural breaks before they are registered, and separately classifying each qualifying break as either a BOS or CHoCH based on the current structural trend state. Three core principles guide the design: Structure breaks should only fire when aligned with Hull trend direction, ensuring momentum context validates each structural event before it is presented. Each structural break should be classified as continuation (BOS) or reversal (CHoCH) based on the prior structural trend state, preserving the critical distinction between trend-following and trend-changing breaks. CHoCH events should optionally generate a full position planning framework at the point of reversal, translating structural signals directly into actionable trade planning output. This shifts market structure analysis from mechanical pivot tracking into momentum-qualified structural event detection with integrated trade planning capability. Theoretical Foundation The indicator combines Hull Moving Average trend direction measurement, confirmed swing pivot detection, structural trend state tracking, BOS and CHoCH classification logic, and an optional position tool that calculates and plots entry, stop loss, and three take profit levels from each CHoCH event. The Hull Moving Average provides low-lag trend direction through comparison of current and two-bar-lagged values, producing a responsive momentum filter that avoids the smoothing delay of standard moving averages. Pivot highs and lows are confirmed through a configurable left-right bar requirement applied to swing detection. Structural trend state is maintained independently of Hull direction, tracking the most recent structural break to determine whether the next break represents continuation or character change. The position tool derives risk levels directly from the CHoCH bar's price action, scaling take profit targets as configurable multiples of the measured risk. Four internal systems operate in tandem: Hull Trend Engine : Calculates the Hull Moving Average and determines directional state through comparison with its two-bar-lagged value, providing the momentum filter that gates structural break registration. Swing Pivot Detection : Identifies confirmed swing highs and lows through the configurable pivot length parameter, maintaining current and previous pivot levels with their originating bar indices for structural level plotting. Structure Break Classification : Tests price for crossovers of previous pivot levels when Hull trend alignment is confirmed, classifying each qualifying break as BOS or CHoCH based on whether it continues or contradicts the prior structural trend state. Position Tool Engine : On CHoCH events with the position tool enabled, calculates entry, stop loss with percentage buffer, and three R-multiple take profit levels, plotting them with gradient-filled risk and reward zones that extend a configurable number of bars forward. This design ensures that structural events carry both momentum validation and classification context, and that reversal signals translate directly into structured trade planning output. How It Works Hull Market Structure evaluates price through a sequence of structure-aware and momentum-validated processes: Hull Direction Calculation : The Hull Moving Average is calculated over the configured length and compared with its two-bar-lagged value. A value above its lag registers bullish Hull trend, below registers bearish Hull trend. Pivot Registration : Confirmed swing highs and lows are registered when sufficient bars to the left and right validate the pivot, storing the current and previous pivot price and bar index for each side independently. Bull Break Testing : On each bar during a bullish Hull trend, price is tested against the previous confirmed swing high. A close crossing above that level after closing at or below it on the prior bar triggers a bull structural break. Bear Break Testing : On each bar during a bearish Hull trend, price is tested against the previous confirmed swing low. A close crossing below that level after closing at or above it on the prior bar triggers a bear structural break. Cooloff Enforcement : A configurable minimum bar distance between consecutive bullish and bearish signals is enforced independently for each direction, preventing signal clustering during volatile structural events. BOS or CHoCH Classification : Each qualifying break is classified by comparing its direction to the current structural trend state. A bullish break during a bearish or neutral structural trend registers as CHoCH. A bullish break during an existing bullish structural trend registers as BOS. The same logic applies in reverse for bearish breaks. Structural Level Plotting : A dashed line extends from the origin bar of the breached pivot to the signal bar at the pivot level, with a text label centered along the line displaying either BOS or CHoCH in the appropriate directional color. Position Tool Deployment : On CHoCH events with the position tool enabled, entry is set to the open of the following bar, stop loss is derived from the signal bar's low or high with a percentage buffer applied, risk is calculated as the entry-to-stop distance, and three take profit levels are plotted at configurable R multiples above or below entry. Position Zone Visualization : Gradient-filled boxes cover the risk zone between entry and stop loss, and the reward zones between each consecutive take profit level, extending rightward for the configured number of bars with opacity increasing at greater distances from entry. Candle Coloring : Optional bar coloring applies the bullish or bearish color based on current structural trend state, providing continuous directional context independent of Hull trend or signal generation. Together, these elements form a momentum-filtered structure detection system that classifies each qualifying event, plots the originating level, and translates reversal breaks into ready-to-use trade planning frameworks. Interpretation Hull Market Structure should be interpreted as a momentum-validated structural event system with integrated position planning output: Hull Band Fill : The filled area between the Hull line and its two-bar-lagged value provides a continuous visual reference for Hull trend state and direction, coloring green during bullish Hull trend and red during bearish Hull trend. BOS Label : Appears on a structural break that occurs in the same direction as the existing structural trend, confirming trend continuation through a new swing level breach with Hull momentum aligned. CHoCH Label : Appears on a structural break that contradicts the existing structural trend, signaling a potential trend reversal where price has breached a swing level in the opposing direction with Hull momentum confirming. Structural Level Lines : Dashed lines extending from the breached pivot's origin bar to the signal bar mark the exact level at which the structural event occurred, providing historical reference for the significance of each break. Position Entry Line : Solid horizontal line at the open price of the bar following a CHoCH, representing the suggested trade entry level for the structural reversal setup. Stop Loss Line : Dotted line below entry for long positions and above entry for short positions, calculated from the CHoCH bar's extreme with a configurable percentage buffer applied for risk breathing room. TP1 / TP2 / TP3 Lines : Dotted take profit lines at configurable R multiples from entry, providing a three-stage exit framework scaled to the measured risk of each individual setup. Risk and Reward Zones : Gradient-filled boxes between entry and stop loss and between consecutive take profit levels provide immediate visual risk-to-reward assessment without manual calculation. Colored Candles : Optional bar coloring reflects current structural trend state, with bullish color applied after a bullish structural break and bearish color applied after a bearish structural break until the opposing direction breaks. Hull trend alignment, structural classification, and position tool levels collectively provide more information than any element in isolation. Signal Logic & Visual Cues Hull Market Structure presents two structural signal types with distinct strategic implications: BOS (Break of Structure) : Labeled in the trend direction color when a swing level is breached in alignment with the existing structural trend. Represents continuation of the established structural sequence and does not trigger position tool deployment. CHoCH (Change of Character) : Labeled in the trend direction color when a swing level is breached against the existing structural trend. Represents a potential structural reversal and triggers position tool deployment when the feature is enabled. Both signal types require Hull trend alignment to fire, ensuring that structural events are always evaluated in their momentum context. The cooloff parameter prevents successive signals of the same type from clustering within a defined bar window. Alert generation covers bullish and bearish BOS events and bullish and bearish CHoCH events independently for systematic structural monitoring and notification workflows. Strategy Integration Hull Market Structure fits within momentum-validated market structure and systematic trade planning approaches: CHoCH Reversal Entries : Use CHoCH signals as primary entry triggers where structural trend has reversed with Hull momentum confirming, deploying the position tool output as a complete trade framework from entry through to final target. BOS Continuation Entries : Use BOS signals as confirmation of trend continuation within an established structural direction, timing pullback entries or adding to existing positions when structure is reinforcing rather than reversing. Hull Alignment Filtering : Treat signals that occur when Hull trend has only recently flipped with greater caution than signals where Hull has been trending in the signal direction for multiple bars, as recent Hull flips carry less momentum confirmation than sustained directional readings. R-Multiple Position Management : Use the three take profit levels from the position tool as a staged exit framework, scaling out of positions progressively rather than targeting a single fixed level, allowing partial profit capture while maintaining exposure to larger structural moves. Stop Buffer Calibration : Adjust the SL Buffer percentage to accommodate the instrument's typical spread and volatility at structural levels, ensuring stops are positioned with sufficient room to avoid premature invalidation on normal retest activity. Multi-Timeframe Structure Hierarchy : Apply higher-timeframe CHoCH events as directional bias anchors, using lower-timeframe BOS signals to time continuation entries within the broader structural context established by the higher-timeframe reversal. Technical Implementation Details Core Engine : Hull Moving Average with two-bar lag comparison for responsive directional trend state Swing Detection : Configurable pivot high and low confirmation with left-right bar symmetry requirement Structure Logic : Hull-gated swing break detection with independent bull and bear cooloff enforcement Classification System : Structural trend state tracking for BOS versus CHoCH labeling on each qualifying break Position Tool : CHoCH-triggered entry, buffered stop loss, and three R-multiple take profit level calculation Visualization : Dashed structural level lines, gradient-filled risk and reward zones, dotted take profit lines, and BOS or CHoCH labels Candle Coloring : Structural trend state-driven bar color independent of Hull trend state Performance Profile : Optimized for real-time execution with configurable position count management removing oldest position tools when the maximum is exceeded Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Intraday structure detection for scalping with shorter Hull length and tighter swing settings for fast structural response 15 - 60 min : Session-level BOS and CHoCH identification with balanced Hull length and swing sensitivity 4H - Daily : Swing-level structural trend mapping with longer Hull periods for sustained momentum validation Suggested Baseline Configuration: Hull Length : 50 Swing Length : 5 Signal Cooloff : 10 SL Buffer % : 0.1 Show Position Tool : Enabled Max Positions Visible : 2 TP1 (R) : 1.0 TP2 (R) : 2.0 TP3 (R) : 3.0 Color Candles : Enabled These suggested parameters should be used as a baseline; their effectiveness depends on the instrument's structural characteristics, volatility profile, 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: Too many signals firing : Increase Signal Cooloff to enforce greater bar separation between consecutive structural events, or increase Swing Length to demand more structurally significant pivot confirmations. Signals too infrequent : Decrease Swing Length toward 2 for faster pivot confirmation, or reduce Signal Cooloff to allow signals to fire closer together during active structural periods. Hull trend too reactive : Increase Hull Length to smooth the momentum filter and reduce sensitivity to short-term price fluctuations that cause rapid Hull direction changes. Hull trend too slow : Decrease Hull Length toward 20 for a more responsive momentum filter that captures structural shifts earlier relative to price movement. Stop loss too tight : Increase SL Buffer percentage to add more breathing room beyond the signal bar extreme, reducing the likelihood of premature stop-outs on retest activity at structural levels. Position tools cluttering the chart : Reduce Max Positions Visible to limit the number of active position frameworks displayed, or decrease Position Extend to shorten how far levels project to the right. Take profit levels too close or far : Adjust TP1, TP2, and TP3 R multiples to match the instrument's typical range extension following structural breaks, calibrating the exit framework to realistic reward expectations for the target market. Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions. Performance Characteristics High Effectiveness: Trending markets where Hull direction persists across multiple sessions and structural breaks consistently follow the momentum direction, producing high-quality BOS and CHoCH alignments Instruments with clean swing structure where pivot highs and lows form at clearly defined levels, reducing ambiguity in structural break identification Reversal trading approaches where CHoCH detection with position tool output provides a systematic framework for entering structural trend changes with defined risk parameters Multi-timeframe workflows where higher-timeframe CHoCH signals establish directional bias and lower-timeframe BOS signals provide continuation timing precision Reduced Effectiveness: Choppy, range-bound markets where Hull trend direction changes frequently and structural breaks fire in alternating directions without establishing sustained structural sequences Low-volatility consolidation environments where swing pivots form in tight clusters, producing overlapping structural levels and ambiguous BOS or CHoCH classifications Highly news-driven instruments where impulsive moves create structural breaks that immediately reverse before the position tool levels are reached Markets with irregular spread or thin liquidity where pivot confirmation mechanics lag significantly behind the price events that created the structural swing Instruments where the relationship between Hull trend and structural breaks is inconsistent, requiring additional confluence tools to validate signal quality before deployment Integration Guidelines Confluence : Combine with BOSWaves volume tools, order flow analysis, or adaptive band indicators for structural signal validation across multiple analytical dimensions Hull Trend Respect : Treat CHoCH signals occurring when Hull has only recently reversed direction with reduced confidence relative to signals where Hull has sustained the new direction across multiple bars Classification Awareness : Distinguish between BOS and CHoCH in strategy application; BOS signals support continuation approaches while CHoCH signals support reversal entries, and mixing the two without adaptation reduces strategic clarity Position Tool Discipline : Use the position tool output as a complete trade framework rather than selectively taking only entry or stop information, as the R-multiple target structure is calibrated to the specific risk measured from each individual CHoCH event State Discipline : Maintain directional bias aligned with current structural trend state until a CHoCH in the opposing direction is confirmed. Isolated price excursions against the structural trend that do not breach the relevant swing level do not constitute structural changes. Disclaimer Hull Market Structure is a professional-grade market structure and trade planning tool. It uses Hull-filtered break of structure detection with swing pivot classification and integrated position sizing but does not predict future price movements. Results depend on market conditions, instrument structural characteristics, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates volume context, order flow analysis, and comprehensive risk management.
Indicateur Pine Script®
par BOSWaves
8
LWS Cross Structure Levels (CSL)Cross Structure Levels (CSL) Cross Structure Levels (CSL) is a structural tool designed to help visualize moving average crosses in a more practical way. In many trading environments, moving average crosses are used as a confirmation of directional bias. However, these events are often missed in real time, and the subsequent price movement develops after the initial cross. This script transforms those crosses into horizontal levels, allowing traders to track how price interacts with them over time. Concept A cross between a fast and a slow moving average is treated as a structural event The closing price of that cross is plotted as a horizontal level That level extends forward and can act as a reference for price behavior Instead of reacting to the cross itself, CSL helps observe how price behaves around that level afterward. Important Clarification A moving average cross is not a trading signal by itself The plotted level is not an entry or exit signal It is a contextual reference that may help confirm market conditions Key Features Choice between EMA and SMA Customizable lengths (default 9/21) Multi-timeframe cross detection (e.g., using 3m or 5m crosses on a 1m chart) Session filtering (New York session by default) Option to display only current session/day Automatic removal of outdated or broken levels Optional retest labeling How to Use Use levels as contextual references, not as standalone signals Observe reactions when price returns to a level after a cross Combine with other tools such as VWAP, opening ranges, or support/resistance Focus on price behavior rather than the cross itself Notes This script is designed for intraday analysis Different moving average settings may produce different results Best used as part of a broader trading framework Release Notes - CSL Initial release of Cross Structure Levels (CSL) Converts moving average crosses into horizontal levels Supports EMA and SMA with customizable lengths Multi-timeframe cross detection Session filtering and today-only mode Smart cleaning of outdated levels Automatic removal of broken levels Optional retest detection Visual customization options
Indicateur Pine Script®
par mlicero
3
ATR Step Trailing Stop Positioning ToolThis indicator is an ATR-based trailing stop positioning tool. It is not designed to generate buy or sell signals. Its purpose is to help traders visualize possible trailing stop levels based on volatility. How it works: The indicator calculates a stepped trailing level using the ATR distance from the high or low of the last closed candle. For long-position management, the stop level can be positioned below price using the candle low and an ATR-based distance. For short-position management, the stop level can be positioned above price using the candle high and an ATR-based distance. Because the calculation is based on the last closed candle, the level is designed to behave like a step-style trailing reference instead of constantly moving tick by tick. How this is different from a standard ATR trailing stop: Many ATR stop indicators use a continuous trailing line or a single shared configuration for both long and short conditions. This version is focused specifically on stop placement structure. It allows the trader to visualize ATR-based stop levels as stepped references from the most recent completed candle. Another practical difference is that traders can add two instances of the indicator to the same chart. For example, one instance can be adjusted for long trailing stop management and another for short trailing stop management. By changing the visibility or transparency settings, it is possible to show only the positive or negative side of each instance and compare different ATR lengths or ATR multipliers for long and short positioning. This makes the tool useful when a trader wants different trailing stop behavior for long and short positions instead of using one universal setting. Possible use cases: * Visualizing ATR-based trailing stop zones * Managing open trades with a volatility-adjusted stop reference * Comparing different ATR lengths or multipliers * Separating long-side and short-side stop logic * Studying how price behaves around volatility-based stop levels Important limitation: This indicator does not predict direction. It does not provide entry signals, exit signals, buy signals, or sell signals. The plotted levels are only a technical reference for trailing stop positioning based on ATR and closed candle structure. Traders should combine this tool with their own entry logic, market structure analysis, risk management rules, and broader trading plan.
Indicateur Pine Script®
par TheAlphaGroup
Breaker Confluence Engine [Nick789]Breaker Confluence Engine ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ OVERVIEW ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Breaker Confluence Engine is built to map out breaker-style zones, Fair Value Gaps, and key confluence areas without making the chart look like a Christmas tree. The idea is simple: Use a higher source timeframe to find the important breaker and FVG structure, then project those zones onto the chart you are actually trading from. So instead of constantly switching timeframes, you can sit on your lower timeframe and still see where the bigger structure is sitting. This tool is not about throwing random buy and sell labels everywhere. It is designed to help you see where price has shifted, where imbalance is sitting, and where price may react if it comes back for a retest. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ WHAT IT DOES ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1. Breaker Zone Detection The script detects bullish and bearish breaker-style zones using pivot-based swing structure. These zones help show areas where price has broken through previous structure and may later come back to test that area. - Bullish breaker zones can act as support - Bearish breaker zones can act as resistance - Zones extend forward until tested, filled, or invalidated - Overlap prevention helps avoid stacking too many similar zones - Zone limits help keep the chart clean 2. Fair Value Gap Mapping The script can detect 3-candle Fair Value Gaps from the selected source timeframe and project them onto the current chart. There is also an optional current-timeframe FVG layer for traders who want more lower-timeframe detail. Use the source FVGs for the cleaner main view. Turn on current-timeframe FVGs when you want to dig deeper or review price action. 3. Breaker + FVG Confluence This is where the tool starts to get interesting. When a breaker zone lines up with a source-timeframe FVG, the zone is highlighted as a stronger confluence area. Not every breaker matters. Not every FVG matters. But when structure shift and imbalance show up together, that area is worth paying attention to. 4. Zone Rating System Each zone can be rated using a mix of confluence factors: - Displacement - Relative volume - Directional delta proxy - Sweep context - FVG alignment The rating scale is: Weak → Interest → Momentum → Absorption → Institutional This gives you a quick way to separate basic zones from the ones that actually have a bit more story behind them. Weak zones can stay simple by default, or you can turn on full weak rating details if you want to study everything. 5. Tested and Mitigated Tracking The script tracks whether a zone is fresh, tested, or already used up. - Fresh zones show areas price has not returned to yet - Tested zones show areas price has touched - Filled or invalidated zones can be hidden automatically - Or you can fade them for review and back testing This helps you avoid treating an old used-up zone like it is still fresh. 6. Potential Breaker Zones The optional Potential Breaker layer gives an early heads-up when price is approaching a prior swing level before a confirmed breaker forms. It uses an ATR-based proximity threshold. Think of it as: “Price is getting close. Something may be building here.” Potential zones are removed once the breaker confirms or the level gets invalidated. 7. Source Timeframe & Session Control Choose the source timeframe you want the main logic to come from. Examples: - 5m / 15m / 30m for scalping - 1H / 4H for intraday structure - 4H / Daily for bigger context There is also an optional New York session filter for traders who want to focus only on a specific liquidity window. 8. Alerts The script includes alerts for: - Bullish breaker events - Bearish breaker events - Source-timeframe FVGs - Current-timeframe FVGs - Potential breaker events - Mitigation and fill events - Master alert for combining events into one cleaner message The master alert is useful if you do not want a massive alert list or you are setting up webhook-style workflows. 9. Status Table A small table on the chart shows the main tool status at a glance: - Source timeframe - Current chart timeframe - Session filter - Source FVG status - Current-timeframe FVG status - Potential Breaker status - Rating status Simple, clean, and easy to check. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ HOW TO USE IT ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1. Pick Your Source Timeframe Choose the timeframe you want the important structure to come from. For example, you might trade on the 1m or 5m chart, but use 15m or 1H as the source timeframe. That lets you trade lower-timeframe entries while still respecting the bigger zones. 2. Watch the Breaker Zones Breaker zones show where price has shifted through prior structure. If price comes back to that area, it may react, reject, continue, or fail. The zone gives you a place to focus, not a guaranteed trade. 3. Look for Confluence The best zones usually have more than one thing going for them. A breaker by itself is okay. A breaker with FVG alignment, displacement, sweep context, volume, and delta support is much more interesting. That is the whole point of the tool. 4. Pay Attention to Tested Status Fresh zones are usually cleaner. Once price has already tapped, filled, or invalidated a zone, it may not carry the same weight anymore. The tested and mitigated tracking helps keep that clear. 5. Keep the Chart Clean For live trading, less is usually better. A clean setup could be: - Source FVGs: On - Current-timeframe FVGs: Optional - Hide Mitigated: On - Prevent Overlap: On - Potential Breakers: Off - Weak Ratings: Off For review and back testing, turn more layers on and study how price reacts. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ BEST USE CASE ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ This tool is best used as a structure and confluence map. It helps answer questions like: - Where is the higher-timeframe breaker? - Is there an FVG sitting with it? - Has the zone already been tested? - Did price sweep before forming the zone? - Is the move away strong or weak? - Is this area actually worth watching? It is not meant to replace your own trading plan. It is meant to make the important areas easier to see. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ IMPORTANT NOTES ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ - Source-timeframe logic confirms after the source candle closes - The tool uses lookahead-off source timeframe logic - Current-timeframe FVGs are optional and can add more visual load - Zone ratings are guides, not guarantees - Best used on liquid markets with clean price action - Keep your chart clean if you are using it live ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ DISCLAIMER ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ This indicator is for educational and informational use only. It does not provide financial advice, guaranteed signals, or automatic trade decisions. Trading involves risk. Always use your own analysis, confirmation, risk management, and testing before making any trading decision.
Indicateur Pine Script®
par NICK789
Volumetric Trend Structure [BOSWaves]Volumetric Trend Structure - Pivot-Averaged Drift Detection with Volume-Normalized Band Visualization Overview Volumetric Trend Structure is a pivot-anchored trend identification system that constructs dynamic drift lines from the rolling average of confirmed swing highs and lows, where trend direction, band positioning, and volume histogram behavior are driven by structural pivot accumulation and statistically normalized volume measurement rather than fixed moving average thresholds or arbitrary volatility multiples. Instead of relying on lagged moving average crossovers or static band calculations, trend state and directional reference levels are determined through confirmed pivot detection, multi-pivot averaging for drift line construction, and standard deviation-normalized volume scoring that adapts bar-by-bar to reflect genuine volume significance relative to recent history. This creates a trend framework grounded in actual price structure rather than smoothed price derivatives. Drift lines move only when new confirmed pivots shift the structural average, trend state responds to price crossing structurally-derived boundaries, and the volume histogram mounted directly on the active band provides a continuously updating picture of volume participation intensity and directional character at the exact level that defines the current trend. Price is therefore evaluated against drift boundaries that represent real swing structure rather than indicator-generated levels disconnected from market geometry. Conceptual Framework Volumetric Trend Structure is founded on the principle that robust trend boundaries should be derived from confirmed price structure pivots and their rolling averages, not from smoothed price series that shift continuously regardless of whether meaningful structural events have occurred. Traditional trend-following methods anchor bands and trend references to exponential or simple moving averages that update on every bar and carry no structural significance in isolation. This framework replaces continuous-update logic with pivot-event-driven drift construction, where the upper and lower drift lines only shift when a new confirmed swing high or low is recorded, ensuring the boundaries reflect actual market structure rather than arithmetic price smoothing. Three core principles guide the design: Trend boundaries should emerge from confirmed pivot structure and their averages, providing structurally meaningful levels rather than arbitrary smoothed references. Volume should be measured relative to its own statistical distribution, normalizing significance across instruments and timeframes rather than using raw absolute values. Volume visualization should be anchored to the active structural boundary, directly connecting participation data to the trend level that defines current directional state. This shifts trend analysis from continuous moving average mechanics into event-driven structural drift tracking with volume participation mapped directly onto the defining boundary. Theoretical Foundation The indicator combines confirmed pivot high and low detection, rolling pivot array averaging for drift line construction, standard deviation-normalized volume measurement, and directional volume gradient coloring across three configurable display modes. Pivot highs and lows are confirmed using a configurable left-right bar requirement, ensuring only structurally validated swing points contribute to drift calculation. A rolling array of recent pivots feeds the upper and lower drift lines, with the average shifting only as new pivots register. Volume normalization divides raw volume by its rolling standard deviation, producing a dimensionless score that objectively ranks each bar's participation relative to recent history. Volume histogram bars are then plotted directly on the active drift band, scaled by the normalized score and oriented in the trend direction. Four internal systems operate in tandem: Pivot Detection and Array Management : Identifies confirmed swing highs and lows through the configurable pivot length parameter, maintaining rolling arrays of the most recent qualifying pivots for both upper and lower drift calculations. Drift Line Construction : Averages the contents of each rolling pivot array to produce upper and lower drift lines that update only when new confirmed pivots register, anchoring the trend framework to real structural events. Trend State Logic : Monitors price crossovers and crossunders of the upper and lower drift lines respectively, flipping trend state and reassigning the active band between the upper and lower drift lines based on current direction. Volume Normalization and Histogram Engine : Calculates a standard deviation-based volume score, scales it to the chart's price range, and plots histogram bars on the active drift band with configurable directional coloring and spike detection. This design allows trend structure to reflect genuine pivot-based market geometry while volume participation is measured and visualized with statistical objectivity. How It Works Volumetric Trend Structure evaluates price through a sequence of structure-aware processes: Pivot Confirmation : Swing highs and lows are confirmed when the specified number of bars to the left and right all print lower highs or higher lows respectively, validating structural significance before the pivot is registered. Array Update and Drift Recalculation : Each newly confirmed pivot is appended to its respective rolling array and the oldest entry removed if the array exceeds the configured pivot count, triggering immediate recalculation of the corresponding drift line average. Trend Crossover Evaluation : On each bar, price is tested against both drift lines. A crossover above the upper drift establishes bullish state, and a crossunder below the lower drift establishes bearish state, with the previously opposing drift line becoming the new active band. Active Band Assignment : In a bullish trend, the lower drift line serves as the active structural band providing support reference. In a bearish trend, the upper drift line serves as the active structural band providing resistance reference. Volume Normalization : Each bar's raw volume is divided by its 200-bar rolling standard deviation, producing a normalized score capped at four standard deviations that objectively quantifies participation intensity. Histogram Scaling : The normalized volume score is multiplied by a range-derived step size based on the 200-bar average bar range, producing price-unit histogram heights that scale appropriately to the chart without manual adjustment. Volume Color Assignment : Depending on the selected color mode, histogram bars are colored by buy/sell pressure gradient derived from close position within the bar range (Delta), uniform trend direction (Trend), or trend direction with statistical spike highlighting (Trend + Spikes). Spike Detection : Bars reaching four standard deviations of volume receive spike classification, triggering directional spike markers and overriding base color in applicable color modes. Signal and Visual Output : Trend state transitions generate buy and sell triangle labels. Candles are colored with a volume-intensity gradient that brightens with participation strength. A trend fill extends between the active band and price for directional context. Together, these elements form a continuously updating structural trend map where pivot geometry defines the boundaries and volume participation is measured and displayed with statistical precision directly on those boundaries. Interpretation Volumetric Trend Structure should be interpreted as a pivot-derived structural trend system with volume participation mapped onto the active directional boundary: Bullish Trend State (Green) : Established when price closes above the upper drift line, with the lower drift line becoming the active support band and volume histogram projecting upward from it. Bearish Trend State (Magenta) : Established when price closes below the lower drift line, with the upper drift line becoming the active resistance band and volume histogram projecting downward from it. Drift Lines : Upper and lower structural boundaries derived from rolling averages of recent confirmed pivot highs and lows. These lines only shift when new confirmed pivots register, ensuring structural relevance. Active Band : The drift line currently serving as the primary structural reference. The lower drift in a bullish trend and the upper drift in a bearish trend are displayed with a solid colored line and serve as the histogram anchor. Trend Fill : Gradient fill between the active band and price provides a continuous visual representation of the distance and directional relationship between current price and the structural boundary. Volume Histogram : Normalized volume bars extending from the active drift band reflect statistically scaled participation intensity on each bar, oriented upward in a bull trend and downward in a bear trend. Delta Color Mode : Histogram bars colored by close-position gradient within the bar range, revealing whether volume on each bar was associated with buying or selling pressure regardless of trend direction. Trend Color Mode : Uniform histogram coloring by current trend direction, providing a clean structural participation view without directional bar-level interpretation. Trend + Spikes Mode : Trend-colored histogram with statistical spike bars highlighted in a distinct color, identifying exceptional participation events against the structural background. ◆ Spike Markers : Diamond labels plotted at bar highs in a bull trend and lows in a bear trend on statistically exceptional volume bars, marking participation outliers for immediate identification. ▲ / ▼ Trend Signals : Triangle labels at trend state transitions mark the crossover bar where the structural drift boundary was breached, providing clear visual anchoring of each directional change. Colored Candles : Optional bar coloring reflects trend direction with intensity graduating from muted at low volume to fully saturated at peak participation, providing an immediate conviction reading. Note: The original chart candles must be disabled in chart settings for the trend-colored candles to display properly. Drift line positioning, active band proximity, and volume histogram behavior at the structural boundary collectively provide more information than any element in isolation. Signal Logic & Visual Cues Volumetric Trend Structure presents two primary structural interaction signals alongside continuous volume participation monitoring: Buy Signal (▲) : Green triangle appears when price closes above the upper drift line, marking the structural crossover that establishes bullish trend state and reassigns the lower drift as the active support band. Sell Signal (▼) : Red triangle appears when price closes below the lower drift line, marking the structural crossunder that establishes bearish trend state and reassigns the upper drift as the active resistance band. Volume spike detection provides continuous secondary context, with statistical outlier bars marked regardless of trend state to identify exceptional participation events that may precede structural developments. Alert generation covers bullish and bearish trend state transitions for systematic structural monitoring workflows. Strategy Integration Volumetric Trend Structure fits within structural trend-following and volume-informed directional approaches: Structure-Confirmed Entries : Use drift line crossovers as trend initiation points where price has demonstrated sufficient strength to breach a structurally-derived boundary, rather than reacting to moving average crossovers with no pivot significance. Active Band Pullback Framework : Use the active drift band as a pullback reference within established trends, monitoring volume histogram behavior at the band for participation evidence supporting continuation. Volume Spike Context : Treat spike events occurring near the active drift band as elevated-significance participation readings. Spikes confirming the trend direction at the band suggest strong structural support or resistance. Delta Mode Flow Analysis : In Delta color mode, monitor the directional gradient of histogram bars at the active band to assess whether volume at the structural boundary is predominantly buying or selling pressure. Pivot Count Sensitivity Adjustment : Reduce the Pivots to Average count for instruments requiring faster structural adaptation. Increase for markets where drift stability across more pivots better reflects the dominant trend. Multi-Timeframe Structural Alignment : Apply higher-timeframe drift line positions as directional context, confirming that lower-timeframe entries align with the broader structural trend defined by multi-pivot averaging. Technical Implementation Details Core Engine : Confirmed pivot high and low detection with configurable left-right bar requirement Drift Construction : Rolling array averaging of recent confirmed pivots with configurable array depth Trend Logic : Drift line crossover and crossunder state switching with active band reassignment Volume Normalization : Standard deviation-based scoring over 200-bar rolling window with four standard deviation cap Histogram Scaling : Range-derived step sizing using 200-bar average bar range for chart-adaptive bar heights Color Engine : Three-mode volume coloring with gradient delta, uniform trend, and trend with spike override Visualization : Band-anchored volume histogram, trend fill gradient, volume-intensity candle coloring, and signal labels Performance Profile : Optimized for real-time execution with max_bars_back configuration supporting deep historical pivot detection Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Intraday structural drift tracking with tighter pivot lengths for faster structural response 15 - 60 min : Session-level trend structure identification with balanced pivot and averaging settings 4H - Daily : Swing-level structural trend mapping with higher pivot counts for stable, well-defined drift lines Suggested Baseline Configuration: Pivot Length : 3 Pivots to Average : 4 Volume Size : 1.0 Volume Histogram : Enabled Volume Color Mode : Trend + Spikes Color Candles : Enabled (requires disabling original chart candles in chart settings) Trend Fill : Enabled These suggested parameters should be used as a baseline; their effectiveness depends on the instrument's structural characteristics, pivot frequency, and preferred trend sensitivity, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Too many trend flips : Increase Pivot Length to demand more structurally significant swing confirmations, reducing sensitivity to minor price swings that generate short-lived drift line crossovers. Trend too slow to respond : Decrease Pivot Length toward 1 for faster pivot confirmation, or reduce Pivots to Average so fewer historical pivots influence the drift line position. Drift lines too reactive : Increase Pivots to Average to smooth the drift calculation across more structural events, producing more stable trend boundaries that require more significant pivot shifts to move. Drift lines too stable : Decrease Pivots to Average toward 2 for a more responsive drift that closely tracks the most recent structural swings rather than the broader pivot average. Volume bars too large or too small : Adjust Volume Size to scale histogram height relative to the default range-derived step, adapting visibility to the instrument's typical price range and volatility. Spike highlights too frequent : The spike threshold is fixed at four standard deviations and is not user-configurable. Select Trend color mode if spike highlighting creates excessive visual noise on a particular instrument. Delta coloring unclear : Review whether close positioning within the bar range reliably reflects directional pressure on the target instrument before relying on Delta mode for flow analysis. Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions. Performance Characteristics High Effectiveness: Trending markets with clear swing structure where pivot highs and lows produce well-separated drift lines that provide unambiguous structural boundaries Instruments with consistent volume patterns where standard deviation normalization accurately identifies statistically significant participation events Structural pullback strategies monitoring price returns to the active drift band with volume confirmation Markets where volume participation at swing pivots reliably reflects institutional activity and structural conviction Reduced Effectiveness: Choppy, trendless markets where frequent pivot formation causes rapid drift line convergence and repeated trend state flips without directional follow-through Low-liquidity instruments where volume distribution is erratic and standard deviation normalization produces unreliable spike classifications Markets with irregular pivot structure where swing confirmation requirements cause significant lag in structural boundary updates during fast-moving directional moves Extremely compressed consolidation environments where upper and lower drift lines converge closely, reducing the structural differentiation required for reliable trend state assignment News-driven or gap-heavy instruments where pivot confirmation mechanics miss the structural significance of impulsive moves that do not form clean swing geometry Integration Guidelines Confluence : Combine with BOSWaves momentum tools, order flow analysis, or exhaustion level mapping for structural and conviction-layer confluence Active Band Respect : Monitor volume histogram behavior at the active drift band on each approach. Sustained low-volume retests suggest structural support, while high-volume penetration attempts warrant caution. Pivot Count Awareness : Recognize that drift lines reflect the average of recent pivots rather than just the latest swing. Sharp structural moves may shift the drift line gradually as older pivots roll out of the averaging window. Spike Utilization : Treat spike events as participation outliers deserving contextual analysis rather than automatic signals. Their directional significance depends on location relative to the active band and current trend state. State Discipline : Maintain directional bias aligned with current trend state until the opposing drift line is breached. Short-term price excursions toward the inactive drift line within an established trend do not constitute state changes. Disclaimer Volumetric Trend Structure is a professional-grade pivot-derived trend and volume participation analysis tool. It uses confirmed swing pivot averaging with statistically normalized volume measurement but does not predict future price movements. Results depend on market conditions, instrument structural characteristics, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates momentum context, order flow analysis, and comprehensive risk management.
Indicateur Pine Script®
par BOSWaves
3
Structured Head and Shoulder Pattern (MastersinMarkets)Overview This proprietary indicator automates the detection of classic Head and Shoulders (H&S) and Inverse Head and Shoulders patterns using a rigorous structural approach. Designed for traders who prioritize geometric symmetry and statistical quality, it filters out "noisy" or low-probability formations that often lead to false breakouts. Core Logic The script utilizes a multi-stage validation engine to confirm pattern integrity: Pivot Analysis: Identifies high-fidelity swing points using a configurable "Swing Strength" to ensure only significant market turns are considered. Symmetry Scoring: A proprietary algorithm evaluates patterns based on price symmetry (Shoulder height similarity), time symmetry (duration between peaks), and neckline slope. ATR Volatility Scaling: The "Min Pattern Size" filter ensures the pattern is large enough relative to current market volatility to be considered structurally significant. Key Features Dynamic Quality Score: Every detected pattern is assigned a score (0–100). Only those meeting your "Min Quality Threshold" are displayed, helping you focus on high-probability setups. Flexible Necklines: Allows for both horizontal and sloping necklines with a "Max Slope" constraint to maintain structural validity. Visual Structure Mapping: Automatically plots the connecting lines of the pattern and extends the neckline for clear breakout monitoring. Real-time Alerts: Integrated alerts trigger the moment a validated pattern completes its Right Shoulder. How It Works Detection: The script looks for a sequence of five swing points (High-Low-High-Low-High for bearish setups). Validation: It checks if the "Head" is higher than both "Shoulders" and if the distance between swings meets the minimum bar count. Scoring: It calculates the $Price\_Symmetry$, AMEX:TIME \_Ratio$, and $Slope\_Score$. Execution: If the cumulative score exceeds the user-defined threshold (e.g., 60), the pattern is drawn on the chart. Disclaimer Trading involves significant risk. This indicator is a tool for technical analysis and does not constitute financial advice. Past performance, including high-quality symmetry scores, does not guarantee future results. Always use proper risk management and consider market context before executing trades.
Indicateur Pine Script®
par MastersinMarkets
Zen RTH Trading ToolkitOVERVIEW Three research modules combined into one overlay indicator, with every feature independently toggleable. Built to answer three practical questions on intraday index futures charts: where are the normal-day targets from yesterday's close, where are the breakout targets from the 18-bar opening range, and how stretched is today's move relative to the average. WHAT MAKES THIS DIFFERENT Most ABR/ADR and opening-range tools either use 24-hour ranges or assume a single session. This indicator does three things differently: 1. Session-aware RTH tracking. The ADR uses session-filtered highs and lows, not 24-hour daily bars. Snapshot and rollover both happen on the first bar of the session, which makes it work correctly on RTH-only charts where there is no session-end transition, and on charts that include extended hours. 2. Instrument presets with timezones. A single dropdown sets the correct RTH session and timezone for ES, FDAX, HSI, and Nikkei 225 futures. No typing session strings, no DST adjustments. 3. Data Window exposure. Every stats-table metric is also published as a Data Window plot, so the values remain available even when the on-chart table is hidden. Useful for spreadsheet export, historical bar inspection, and clean-chart workflows. MODULE 1 - ABR MEASURED MOVES Projects 0.5x, 1x, 1.5x, and 2x ABR targets from yesterday's RTH close. Also plots yesterday's high and low, and the original 1x measured move from yesterday's range extremes. ABR here is the Average Bar Range - the rolling average of daily RTH ranges over a configurable lookback (default 8 days). 1x from yesterday's close represents a typical day's travel on index futures; 2x is rare, hit roughly 1 percent of days. MODULE 2 - OPENING RANGE Default 18 bars, which is 90 minutes on a 5-minute chart. Locks the range at the end of bar 18 and draws a box plus configurable breakout projections at 0.25x, 0.5x, 0.75x, 1x, 1.5x, and 2x of the range, in both directions. MODULE 3 - VOLATILITY STATS TABLE Compact on-chart table showing: - ABR: chart-timeframe average bar range - ADR: average daily range, RTH and ETH columns - Today: current session's range - % ADR: percentage of ADR already used (turns red at 80%) - OR %: opening range as a percentage of RTH ADR (fills in once the OR locks) - Swing: swing target in points (% of RTH ADR, configurable, default 40%) - Scalp: scalp target in points (% of RTH ADR, configurable, default 10%) INSTRUMENT PRESETS - ES (CME E-mini S&P 500): 0830-1600 America/Chicago - FDAX (EUREX DAX): 0900-1730 Europe/Berlin - HSI (HKEX Hang Seng): 0915-1630 Asia/Hong_Kong - Nikkei (OSE Nikkei 225): 0845-1550 Asia/Tokyo - Custom: set your own session and timezone HOW TO USE 1. Add to a 5-minute chart of one of the supported instruments. 2. In settings, pick your instrument from the dropdown. 3. Toggle the modules and features you want. If you only want the stats table, turn the MM lines and the OR box off. If you only want the OR, hide the table. 4. Adjust the Swing and Scalp percentages to match how you size your targets. WORKS ON RTH-only charts and charts including extended hours. Designed for 5-minute and other intraday timeframes on index futures. NOTES This is a research tool. It shows volatility and structure context; it does not generate buy or sell signals and makes no claim about future performance. Open-source under the Mozilla Public License 2.0.
Indicateur Pine Script®
par Zen_Trading_Tech
2
J.TRADER - Premium Trend Sniper V.05J.TRADER - Premium Trend Sniper V.05 ระบบอินดิเคเตอร์ช่วยวิเคราะห์แนวโน้มและวางแผนเทรดสำหรับ XAUUSD / Forex / Indices โดยออกแบบมาเพื่อให้เทรดเดอร์เห็นภาพรวมของตลาดได้ง่ายขึ้นบนกราฟเดียว ระบบนี้พัฒนาโดย J.TRADER เพื่อใช้ประกอบการวิเคราะห์ร่วมกับ Price Action, Market Structure, SMC และการบริหารความเสี่ยง ━━━━━━━━━━━━━━━━━━━━ ฟีเจอร์หลัก ━━━━━━━━━━━━━━━━━━━━ ✅ ระบบบอกเทรนบนกราฟ แสดงสถานะตลาดเป็น UPTREND / DOWNTREND / SIDEWAY ✅ Premium Dashboard แสดงข้อมูลสำคัญแบบเรียลไทม์ ได้แก่ - ATR14 - RSI14 - MACD 15-35-9 - Stoch 9-3-3 - BB14 - EMA14 - Trend Score - Bull / Bear Power ✅ ระบบ Entry / SL / TP แสดงจุดวางแผนเทรดบนกราฟ - Entry - Stop Loss ตาม ATR14 - TP1 - TP2 - TP3 ✅ ระบบ Trend Filter ช่วยกรองทิศทางด้วย EMA14, RSI14, MACD, Stoch, BB และ VWAP เพื่อให้มองแนวโน้มได้เป็นระบบมากขึ้น ✅ Premium Visual ออกแบบโทนสีดำ-ทอง พร้อมเส้นเทรนและ Dashboard สำหรับใช้งานจริงบน TradingView ━━━━━━━━━━━━━━━━━━━━ เหมาะสำหรับ ━━━━━━━━━━━━━━━━━━━━ - เทรดเดอร์ XAUUSD - เทรดเดอร์ Forex - คนที่ต้องการระบบช่วยอ่านเทรน - คนที่ใช้ Price Action / SMC / Market Structure - คนที่ต้องการวางแผน Entry, SL, TP ให้เป็นระบบ ━━━━━━━━━━━━━━━━━━━━ วิธีใช้งานเบื้องต้น ━━━━━━━━━━━━━━━━━━━━ 1. ดูทิศทางหลักจาก Dashboard 2. ใช้ Trend Score ประกอบการตัดสินใจ 3. รอให้ราคาเกิดสัญญาณตามระบบ 4. วางแผน Entry / SL / TP ตามจุดที่อินดิเคเตอร์แสดง 5. ใช้ร่วมกับแนวรับ แนวต้าน Demand Supply และ Price Action ━━━━━━━━━━━━━━━━━━━━ การเข้าถึงสคริปต์ ━━━━━━━━━━━━━━━━━━━━ สคริปต์นี้เป็นระบบ Invite-only สำหรับสมาชิก J.TRADER Premium เท่านั้น ผู้ที่ต้องการใช้งานจำเป็นต้องได้รับสิทธิ์จากทีมงานก่อน โดยแจ้ง TradingView Username ให้ทีมงานตรวจสอบและเปิดสิทธิ์ใช้งาน ━━━━━━━━━━━━━━━━━━━━ Risk Disclaimer ━━━━━━━━━━━━━━━━━━━━ อินดิเคเตอร์นี้เป็นเครื่องมือช่วยวิเคราะห์เท่านั้น ไม่ใช่คำแนะนำการลงทุน และไม่สามารถรับประกันผลกำไรได้ การเทรด Forex, Gold และสินทรัพย์ทางการเงินมีความเสี่ยงสูง ผู้ใช้งานควรบริหารความเสี่ยงทุกครั้ง และตัดสินใจลงทุนด้วยตนเอง J.TRADER ไม่รับประกันผลลัพธ์จากการใช้งานอินดิเคเตอร์นี้
Indicateur Pine Script®
par Trader_j_official
FVG_SWGFVG Liquidity & Gaps is a high-performance technical analysis tool built on the principles of Smart Money Concepts (SMC). This script integrates a dual-layer visualization system to track institutional order flow by identifying extreme liquidity zones (Swings) and price imbalances (Fair Value Gaps) in a single, unified panel. The standout feature of this tool is its Dynamic Mitigation Engine, which physically resizes imbalance boxes as price interacts with them, providing a real-time view of remaining unfilled liquidity. Key Features: 1. Liquidity Swings with Volume Analysis Automatic Detection: Instantly identifies significant fractal highs and lows (Pivot High/Low). Quantitative Insights: Each liquidity level includes a label displaying the Accumulated Volume or Touch Count within that zone. This helps traders distinguish between "weak" retail levels and "high-conviction" institutional walls. Dynamic Projections: Liquidity lines remain solid while active and transition to a dashed style once the level is "purged" (swept), maintaining a clean structural history of the market. 2. Intelligent Fair Value Gaps (FVG) Imbalance Visualization: Automatically detects and plots Bullish and Bearish Fair Value Gaps. Mitigation Reduction (isFvgReduce): This "pro-level" feature automatically shrinks the FVG boxes as price fills the gap. If a wick enters 50% of an FVG, the box resizes to show only the remaining 50% that is yet to be mitigated. Optimized Memory: Includes a history manager to limit the number of active gaps, ensuring the chart remains focused on the most relevant current action. How to Trade with this Script: Liquidity Sweeps (Stop Hunts): Monitor the Swing levels for potential sweeps. When price breaks a high-volume liquidity line and quickly rejects, it provides a high-probability reversal signal. Order Block & Inefficiency Entry: Use the unfilled (or partially reduced) FVG boxes as targets or entry zones where the market is likely to seek balance. Noise Filtering: Adjust the Filter Min Value to only display labels on liquidity levels that have seen significant trading activity—ideal for high-volatility assets like Nasdaq (NAS100), Gold (XAUUSD), or Crypto. Technical Configuration: Pivot Lookback: Define the sensitivity of market structure. Swing Area: Choose between measuring only the mecha (Wick Extremity) or the Full Range for liquidity volume calculations. Custom Aesthetics: Fully customizable colors to match any UI theme (Dark/Light modes).
Indicateur Pine Script®
par ScalpWolfTrader
2
Super Chachin Pro📌 Pivot Central (PP) basado en el high, low y close del día anterior — tu referencia principal para sesgo alcista o bajista. 📌 Pivots Clásicos R1–R4 y S1–S4 para identificar zonas de resistencia y soporte, desde objetivos cercanos hasta niveles extremos en días volátiles. 📌 Pivots Fibonacci FR1/FS1 (0.382), FR2/FS2 (0.618) y FR3/FS3 (1.000) calculados con las fórmulas correctas sobre el rango del día previo. El nivel 0.618 suele ser el más respetado por el precio. 📌 Señales de velas inteligentes • 🟢 Envolvente alcista (BULL) cerca de soporte • 🔴 Rechazo bajista (BEAR) cerca de resistencia Filtradas por proximidad ATR para eliminar ruido: solo aparecen cuando el precio está cerca de un nivel clave. 📌 Alertas configurables para cruces del PP, rupturas de R1/R2/FR2, perforaciones de S1/S2/FS2 y señales de velas. 🔹 Cómo usarlo • Timeframes recomendados: 1m, 5m, 15m, 1h • Mercados: Forex, acciones, oro (XAU/USD), índices, cripto • El Pivot Central define el sesgo del día: arriba = alcista, abajo = bajista • Los niveles FR2/FS2 (0.618) y R1/S1 son las zonas de entrada más fiables • Combina con tu estrategia de scaling out: TP1 en el primer nivel, TP2 en el segundo, TP3 en el extremo Super Chachin Pro — Classic + Fibonacci Pivots with Price Action Signals A complete Pivot Points indicator designed for intraday trading. Combines classic floor trader pivots with Fibonacci pivots and volatility-filtered price action signals. 🔹 What’s included 📌 Central Pivot (PP) calculated from the previous day’s high, low and close — your main reference for bullish or bearish bias. 📌 Classic Pivots R1–R4 and S1–S4 to identify resistance and support zones, from close targets to extreme levels on volatile days. 📌 Fibonacci Pivots FR1/FS1 (0.382), FR2/FS2 (0.618) and FR3/FS3 (1.000) calculated with the correct formulas based on the previous day’s range. The 0.618 level is usually the most respected by price. 📌 Smart candle signals • 🟢 Bullish Engulfing (BULL) near support • 🔴 Bearish Rejection (BEAR) near resistance Filtered by ATR proximity to reduce noise: signals only appear when price is close to a key level. 📌 Configurable alerts for PP crosses, R1/R2/FR2 breakouts, S1/S2/FS2 breakdowns, and candle signals. 🔹 How to use it • Recommended timeframes: 1m, 5m, 15m, 1h • Markets: Forex, stocks, gold (XAU/USD), indices, crypto • The Central Pivot defines the daily bias: above = bullish, below = bearish • FR2/FS2 (0.618) and R1/S1 are the most reliable entry zones • Pairs well with a scaling strategy: TP1 at the first level, TP2 at the second, TP3 at the extreme 🔹 Customization Toggle classic pivots, Fibonacci, labels, and signals independently. Fully editable colors. Adjust signal sensitivity by tweaking the ATR proximity multiplier. 🔹 Notes Uses previous day’s closed data (no repainting). Levels automatically update at the daily session change, and old lines are cleared to keep your chart clean. Happy trading! 📈
Indicateur Pine Script®
par armandodiegomzmz
ApexSignalPro SMC [ForexCracked] [Confluence-Scored BOS/OB/FVG]ApexSignalPro SMC — Multi-Confluence Institutional Structure Indicator Overview ApexSignalPro SMC is a confluence-scored Smart Money Concepts indicator that fires directional signals only when multiple institutional-style footprints align on the same bar. Rather than reacting to a single oscillator reading or moving-average crossover, every signal is backed by a live score (0–5) reflecting the number of structural conditions currently in agreement — market structure, order blocks, fair value gaps, premium/discount location, and higher-timeframe bias. The indicator replaces the "every crossover is a signal" approach common to retail indicators with a strict confluence gate, a range-regime filter, and forced signal alternation, producing a substantially lower signal frequency but higher per-signal conviction. A live dashboard summarizes the score, active zones, and the last trade plan so the full state of the engine is visible at a glance. Conceptual Framework ApexSignalPro SMC is built on the principle that institutional order flow leaves recurring structural footprints on a price chart, and that higher-conviction entries occur where several of these footprints overlap rather than where any single indicator fires in isolation. Three design principles guide the engine: Direction is determined by market structure (BOS / CHoCH), not by price crossing smoothed averages. Entries require confluence — a BOS alone is not enough; price should also be interacting with a valid unmitigated order block or fair value gap, located in the correct half of the current range (discount for longs, premium for shorts), and aligned with higher-timeframe bias. Signals must alternate. Once a long signal has fired, only an opposing short signal is allowed next, preventing consecutive same-direction arrows during a single trend leg. This shifts signal generation from reactive, noise-driven crossovers to a structured confluence model where each arrow represents the convergence of multiple independent conditions. How It Works ApexSignalPro SMC evaluates price through the following sequence: Swing Pivot Detection: Confirmed swing highs and lows are identified using a symmetrical pivot lookback on both sides of the candle. Structure Classification (BOS / CHoCH): A close beyond the most recent pivot in the direction of the existing trend is classified as a Break of Structure (BOS); the first break against the prevailing structure direction is classified as a Change of Character (CHoCH) and flips the internal structure state. Order Block Detection: A bullish order block is recorded as the last bearish candle preceding an impulsive bullish displacement (body > 1.2× ATR) that produces a bullish BOS. Bearish order blocks use the mirror logic. Each OB is tracked until either price closes through the far edge (mitigation) or the OB exceeds its maximum age. Fair Value Gap Detection: A three-candle imbalance is registered when the wick of candle 1 and candle 3 do not overlap, with a minimum gap size expressed as a fraction of ATR to filter noise. FVGs are mitigated when price trades back through the gap. Premium / Discount Mapping: The most recent swing high and swing low define the current range; the 50% midpoint separates the discount zone (below) from the premium zone (above). Long setups require price in discount, short setups require price in premium. Higher-Timeframe Bias: A higher-timeframe EMA (configurable timeframe and length) is requested via request.security and used as a directional filter. Regime Filter: ADX is calculated on the current timeframe and must exceed a configurable minimum for any signal to be permitted, excluding low-trend-strength environments where breakout-style signals have historically underperformed. Confluence Scoring: Each bar produces a bullish score and a bearish score, each 0–5, with one point awarded for: structure direction, price inside an unmitigated OB, price inside an unmitigated FVG, correct P/D zone, HTF bias alignment. Trigger: A signal fires only when the score meets the minimum confluence threshold AND a strong-body candle closes in the signal direction AND the ADX filter passes AND the signal direction differs from the previous signal. Risk Framework: On each signal, the stop loss is placed beyond the nearest relevant OB with an ATR buffer; take profit is placed at a configurable R:R multiple of the SL distance. Entry, SL, and TP are drawn as extending lines with pip-labeled tags. Interpretation ApexSignalPro SMC should be read as a layered confluence map, not a reactive signal generator: Confluence Score (0–5): The primary quality filter. Signals at score 4 or 5 represent multi-factor agreement; signals at the minimum threshold (default 3) are valid but benefit from additional discretionary confirmation. Structure State: Bullish (HH/HL) or Bearish (LH/LL) derived from live BOS / CHoCH tracking. A CHoCH event flags a genuine shift in directional bias and is more meaningful than a same-direction BOS continuation. Active Order Block Zones: Shaded boxes mark unmitigated OBs. Zones are removed automatically upon mitigation; fresh, untested OBs have higher reaction probability than zones that have been revisited multiple times. Fair Value Gap Boxes: Translucent boxes mark unfilled three-candle imbalances. Price frequently returns to fill these regions, providing either target levels in trend or reaction levels on retest. Premium / Discount Midline: Yellow dashed line separating the current range into upper and lower halves. Long entries in discount and short entries in premium align with the principle of entering at favorable relative pricing within the active range. HTF Bias Label: Higher-timeframe EMA relationship provides directional context. Counter-HTF signals are permitted only if the remaining confluences are strong. Regime Label: TRENDING / RANGING based on ADX. RANGING regimes suppress all signals regardless of score. Signal Logic & Visual Cues Buy Signal (▲): Green upward triangle below the bar, fired only when bullish score ≥ minimum confluence, strong bullish candle close, ADX passes, and previous signal was not a buy. SL / TP / Entry lines drawn to the right. Sell Signal (▼): Red downward triangle above the bar, fired only when bearish score ≥ minimum confluence, strong bearish candle close, ADX passes, and previous signal was not a sell. Signal Bar Tint: Background of the signal bar is softly colored to aid retrospective review of fire points. Dashboard: Always-on top-right panel showing HTF bias, structure, regime, P/D zone, live BUY and SELL confluence scores, counts of active OBs and FVGs, and the last trade's direction / entry / SL / TP. Strategy Integration ApexSignalPro SMC fits several discretionary and semi-systematic approaches: Confluence-Gated Entry: Take only score-4 and score-5 signals; skip score-3 signals or combine them with an additional discretionary filter (session timing, candlestick pattern, news avoidance). HTF Alignment Mode: Require the dashboard's HTF bias to match the signal direction before taking any trade, regardless of score. Pullback Continuation: Inside an established structure direction, use retests of unmitigated OBs or FVGs in the trend direction as lower-risk continuation entries. Fixed Risk-Per-Trade: Use the drawn SL distance as the input for position sizing at a fixed 0.5–1.0% account risk per trade. Alert-Driven Workflow: Configured alerts fire on every BUY / SELL signal with full trade plan (pair, timeframe, entry, SL, TP, score) in the alert message body, suitable for webhook forwarding. Recommended Configuration Timeframe guidance: 15m – 1H: Intraday structure trading with responsive pivots and faster HTF (60–240). 4H – Daily: Swing trading on major FX pairs, indices, gold; HTF set to Daily or Weekly. Suggested baseline: Swing Length: 5 Higher Timeframe: 240 (H4) on H1 charts; D1 on H4 charts HTF EMA: 50 OB Max Age: 20 bars FVG Min Size: 0.3 × ATR ADX Min: 22 Min Confluences: 3 (increase to 4 for selectivity) SL Buffer: 0.5 × ATR R:R: 2.0 Parameter Calibration Notes Too many signals: Raise Min Confluences to 4, raise ADX Min to 25, or increase Swing Length to 8. Too few signals: Lower Min Confluences to 3, lower ADX Min to 20, or shorten Swing Length to 3–4. Stops being wicked out: Increase SL Buffer ATR multiplier toward 0.8–1.0. Mitigated OBs clearing too fast: Increase OB Max Age, or adjust displacement threshold in the source. Performance Characteristics Higher effectiveness: Trending environments with clear swing structure (majors, gold, indices on H1 / H4). Instruments with consistent candle bodies and reliable pivots. Sessions aligned with institutional activity (London / New York overlap for FX). Reduced effectiveness: Low-volatility consolidation, weekend crypto drift, or pre-news compression. Highly gapped markets where pivot logic becomes unreliable. Timeframes below 5 minutes where noise dominates structure. Disclaimer ApexSignalPro SMC is an analytical tool providing structured signals derived from Smart Money Concepts. It does not predict future price movement. Results depend on market conditions, parameter selection, and the user's execution discipline and risk management. This script is shared for educational and research purposes; past performance of the underlying concepts does not guarantee future results. Use within a complete trading plan that includes position sizing, maximum daily loss limits, and independent confirmation methods.
Indicateur Pine Script®
par ForexCracked
1
MTF Matrix Strategy **MTF Matrix & Hybrid Strategy V2: Smart Trend & Ambush System** > **⚠️ DISCLAIMER:** *This script and the following explanations are strictly for educational and algorithmic coding purposes. It is NOT financial or investment advice. Always backtest strategies thoroughly and apply your own risk management before using them in live markets.* This strategy is designed to eliminate overtrading and only enter the market during the highest-probability moments. It strips away the noise of complex charts: it identifies a strong trend, waits for a discount, and protects your capital with a mathematical armor. **How Does It Work? (3 Simple Steps)** 1. **Confirms the Direction (Trend Filter):** The system first checks the 5, 8, and 13 Simple Moving Averages (SMA). If they are aligned perfectly (5 > 8 > 13), it confirms a strong uptrend and activates its "Long-only" mode. 2. **Sets the Ambush (The Pullback):** A smart trader never buys the top (No FOMO). This strategy waits for the price to cool down and pull back to the **SMA 8** baseline. This specific zone is defined as the "Ambush Area". 3. **Pulls the Trigger (Candle Confirmation):** Once the price drops into the ambush zone, the system doesn't buy blindly. It waits for visual proof of a reversal using Price Action. It executes the trade only if it detects a valid reversal pattern like a Pin Bar, Engulfing, Doji, or Morning Star. **How Does It Manage Risk? (Hybrid Exit Mechanism)** Entering a trade is only half the battle; keeping the money is the real challenge. The system uses a two-layered defense: * **Step-by-Step Profit Locking (D-Levels):** The algorithm calculates invisible Fibonacci targets (D1, D2, D3...) based on the Higher Timeframe (HTF). As the price climbs and breaches these levels, the system automatically trails your stop-loss up to the previous level, locking in your profits step-by-step. * **Dynamic Trailing Stop (The Safety Net):** Just in case of sudden market crashes, it maintains a dynamic trailing stop based on a percentage (e.g., 2%) below the highest seen price. As the peak rises, the stop rises. If the price drops by that percentage, it closes the trade to secure gains or minimize losses. **Customizable Features (Inputs)** * **Ambush Sensitivity (ATR %):** Adjust how close the price needs to get to the moving average before triggering an entry. Widen or narrow the zone based on market volatility. * **Price Action Filters:** Toggle specific candlestick patterns on or off based on your personal preference. * **Live Dashboard:** A sleek panel on the top right gives you real-time visibility of your current stop price, HTF targets, and trade status at a single glance. --- ### 🇹🇷 TÜRKÇE AÇIKLAMA **MTF Matrix & Hybrid Strategy V2: Akıllı Trend ve Pusu Sistemi** > **⚠️ YASAL UYARI:** *Bu strateji kodu ve aşağıdaki açıklamalar tamamen algoritmik düşünce yapısını incelemek ve kodlama eğitimi amacıyla hazırlanmıştır. Kesinlikle finansal veya yatırım tavsiyesi (YTD) değildir. Gerçek piyasalarda işlem yapmadan önce sistemin matematiğini anlayın, test edin ve kendi risk yönetiminizi uygulayın.* Bu strateji, piyasada sürekli işlem yapma hastalığını ortadan kaldırmak ve sadece "en güvenli" anlarda oyuna dahil olmak için tasarlanmıştır. Karmaşık grafik analizlerini bir kenara bırakır; güçlü bir trend bulur, fiyatın ucuzlamasını bekler ve kârı matematiksel bir zırhla korur. **Sistem Nasıl Çalışır? (3 Basit Adım)** 1. **Yönü Teyit Eder (Trend Filtresi):** Sistem ilk olarak 5, 8 ve 13 günlük Basit Hareketli Ortalamalara (SMA) bakar. Eğer bu üçü kusursuz bir sıraya dizilmişse (5 > 8 > 13), piyasanın güçlü bir yükseliş trendinde olduğunu anlar ve sadece "Alım" (Long) yönlü fırsat aramaya başlar. 2. **Pusuya Yatar (Geri Çekilme):** Usta bir avcı avının üzerine koşmaz, bekler. Bu strateji de fiyatlar zirvedeyken alım yapmaz (FOMO'yu engeller). Fiyatın, trendin dinlenme bölgesi olan **SMA 8** çizgisine doğru geri çekilmesini bekler. Bu bölge sistemin "Pusu Alanı"dır. 3. **Tetiği Çeker (Mum Onayı):** Fiyat pusu alanına geldiğinde sistem körü körüne alım yapmaz. Dönüşün başladığını kanıtlayan bir Price Action (Fiyat Hareketi) mumu arar. Pin Bar, Yutan Mum (Engulfing), Doji veya Sabah Yıldızı formasyonlarından birini gördüğü an işleme girer. **Riski Nasıl Yönetir? (Hibrit Çıkış Mekanizması)** İşleme girmek işin sadece yarısıdır, asıl marifet parayı korumaktır. Sistem bu noktada devreye iki katmanlı bir zırh sokar: * **Adım Adım Kâr Kilitleme (D-Seviyeleri):** Sistem, üst zaman diliminden (HTF) aldığı verilerle görünmez Fibonacci hedefleri (D1, D2, D3...) çizer. Fiyat yükselip bu hedefleri aştıkça, zarar kes (stop-loss) seviyenizi bir alt kademeye taşır. Böylece kazandığınız kârı piyasaya geri vermezsiniz. * **Dinamik İzleyen Stop (Emniyet Kemeri):** İşler ters giderse diye, fiyatın gördüğü en yüksek zirveden belirlediğiniz bir yüzde (örn: %2) gerisine dinamik bir stop koyar. Zirve yükseldikçe stop da yükselir; fiyat aniden %2 düşerse işlemi kârla veya minimum zararla kapatır. **Kullanıcı Dostu Özellikler (Ayarlar)** * **Pusu Hassasiyeti (Ambush Sensitivity):** Fiyatın ortalamaya ne kadar yaklaşması gerektiğini ayarlarsınız. Piyasaya göre alanı daraltıp genişletebilirsiniz. * **Fiyat Hareketi (PA) Filtreleri:** İstemediğiniz mum formasyonlarını ayarlardan kapatıp sadece güvendiklerinizle işlem yapabilirsiniz. * **Bilgi Panosu (Dashboard):** Sağ üst köşedeki şık panel sayesinde anlık stop seviyenizi, hedeflerinizi ve piyasa durumunu tek bakışta görürsünüz.
Stratégie Pine Script®
par Okeefe06
Signal Projection ExplorerMany traders focus on building full strategies right away — combining entries, exits, stop-losses, take-profits, filters, and position sizing. But there is a problem with that approach: 👉 It often hides the true quality of the underlying signal. When multiple layers are added on top (risk management, opposite signals, overlays), it becomes very difficult to answer a simple but critical question: “Is this signal actually good on its own?” 🎯 What this indicator does This tool is designed to analyze raw signals in isolation. Instead of jumping straight into a full strategy, it lets you explore: 👉 What tends to happen to the price after a signal occurs? 🔍 How it works The script detects signals in historical data (Golder Cross in this script). It collects all occurrences of those signals. For each signal, it tracks price performance over the next X bars. It then builds a distribution of outcomes and projects it forward from the current price. 📈 What you see on the chart Instead of a single prediction, you get a range of historical outcomes: 🔴 Worst P&L → maximum adverse move after the signal 🟢 Best P&L → best-case outcome 🔵 25th percentile → lower bound of typical outcomes 🟠 75th percentile → upper bound of typical outcomes ⚪ Mean → average path 🟣 Median → typical (robust) path All of these are projected forward from the current price, giving you an intuitive view of possible scenarios. 📋 Stats Table The table summarizes key metrics at the selected projection horizon: Number of signals used Final P&L for each line (Worst / Best / Percentiles / Mean / Median) Distribution metrics like Spread and IQR This gives you a quick read on: Expected return Risk range Outcome dispersion 🧠 Why this matters This tool helps you: Separate signal quality from strategy complexity Understand risk vs reward before adding filters Avoid overfitting strategies on weak signals Build better systems from strong foundations ⚠️ Important note This is not a prediction tool. It shows historical tendencies based on past signals — not guaranteed future outcomes. Always use it as: a research tool a context layer not a standalone trading system 🚀 Final thought Before optimizing entries, exits, and risk… 👉 Make sure your signal itself has an edge. This indicator helps you see that clearly.
Indicateur Pine Script®
par QuantNomad
2