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Market Break Analytics [ChartPrime]🔶 OVERVIEW Market Break Analytics is a structural momentum and volume-distribution tool designed to analyze confirmed pivot breaks and measure participation behind each structural move. Instead of simply marking a breakout, this indicator builds a complete structural map: • It identifies the pivot being broken • Locates the true swing origin • Measures volume dominance during the expansion • Displays buy/sell participation as percentage strength This provides traders with both structure confirmation and participation analytics in one visual framework. 🔶 CORE STRUCTURE LOGIC The indicator tracks confirmed pivot highs and pivot lows. A structural break occurs only after price closes beyond a confirmed pivot level. Break Up mode → Tracks bullish breaks above pivot highs. Break Dn mode → Tracks bearish breaks below pivot lows. Trend direction flips only when an opposite structural break is confirmed. This ensures the tool reacts to true structural shifts , not temporary volatility spikes. 🔶 SWING ORIGIN DETECTION Once a break occurs: The algorithm scans backward to find the lowest low (for bullish breaks). Or the highest high (for bearish breaks). This swing origin becomes the structural base. A baseline is drawn from origin to current structure. A dashed expansion line visualizes the active swing. This clearly maps the entire structural leg from origin to breakout. 🔶 VOLUME PARTICIPATION ANALYTICS A unique component of this tool is the in-swing volume distribution model . For each structural leg: Total buy volume is measured (close > open). Total sell volume is measured (close < open). Percent dominance is calculated. Buy/Sell boxes are drawn near swing completion. Color intensity reflects participation strength. This answers a critical question: Was the breakout driven by strong participation or weak momentum? You see the conviction behind the move — not just the price level. 🔶 BREAK LINE & LABEL SYSTEM Each structural event includes: Break Line → Marks the exact pivot that was broken. Break Label → Visually confirms structural violation. Base Line → Shows structural origin level. Swing Line → Displays directional expansion. Swing Start Label → Displays swing start price. These elements allow traders to visually separate: • Accumulation → Expansion → Structural shift 🔶 HISTORY CONTROL History ON → All past break structures remain visible. History OFF → Only the most recent structure is shown. This allows the tool to function as either: • A structural archive • Or a clean real-time breakout monitor 🔶 TREND COLORING Bars are automatically colored based on active structural direction: Bullish structure → Bull color. Bearish structure → Bear color. No active structure → Default chart color. This provides immediate structural bias recognition. 🔶 HOW TO USE Use Break Up mode during bullish market phases. Use Break Dn mode during bearish market phases. Watch for high buy % during bullish breaks for strong continuation setups. Watch for weak participation during breaks for potential fakeouts. Combine with liquidity or order block tools for confluence. Pivot strength settings can be increased to filter noise. This tool works particularly well on: • Intraday trend continuation • Swing breakout strategies • Market structure confirmation systems 🔶 WHAT MAKES IT DIFFERENT Most breakout tools only show: • A level • A cross • A label Market Break Analytics adds: • Structural origin detection • Volume dominance mapping • Swing expansion tracking • Directional bias coloring • Historical structural control It transforms simple breakouts into complete structural analysis . 🔶 CONCLUSION Market Break Analytics provides a comprehensive view of market structure shifts by combining: • Pivot break detection • Swing mapping • Participation analytics • Structural trend visualization Instead of reacting to price alone, traders can now evaluate the strength and quality of every structural move — gaining deeper insight into whether a break is supported by real participation or lacks conviction.
Pine Script® göstergesi
ChartPrime tarafından
8
HTF Divergence + LTF ChoCh SignalIdentify the Trend: Set the HTF Timeframe input to a timeframe significantly higher than your current chart (e.g., if trading the 15m, set HTF to 4h). Wait for Confirmation: Monitor the dashboard for an "Active" HTF state. Execution: The signal triangle appears when the LTF structure breaks after the HTF bias is set. Context Matters: This indicator is most effective when signals occur at key liquidity levels, such as Daily/Weekly Highs/Lows or Supply/Demand zones. Settings HTF Timeframe: The higher timeframe used for divergence detection. RSI Length: The lookback period for the RSI calculation. Pivot Lookback (HTF/LTF): Determines the sensitivity of swing high and swing low detection. Lower values produce more signals; higher values produce more conservative signals. Disclaimer: Trading involves significant risk. This indicator is for educational and informational purposes only and does not constitute financial advice. Past performance is not indicative of future results. Always use proper risk management.
Pine Script® göstergesi
gabegab1 tarafından
Structural SVM Ranker [LuxAlgo]The Structural SVM Ranker indicator is a market structure tool that utilizes a linear Support Vector Machine (SVM) algorithm to classify and rank structural breaks based on volume, momentum, and price magnitude. By assigning a score from 0 to 100 to every Break of Structure (BOS) and Change of Character (CHoCH), it aims to help traders differentiate between high-conviction structural shifts and low-probability price action. 🔶 USAGE The indicator identifies key pivot highs and lows to map out the market structure. When price closes beyond these levels, a structural break is identified and assigned a score based on the quality of the move. BOS (Break of Structure): Represented by solid lines, these indicate a continuation of the current local trend. CHoCH (Change of Character): Represented by dashed lines, these indicate a potential reversal in the trend direction. SVM Score: Displayed on labels and the dashboard. A higher score suggests the break occurred with significant relative volume, strong RSI momentum, and a meaningful price distance beyond the pivot level. Traders can use the SVM score to filter trade quality. For example, a "CHoCH" with a score above 70 indicates a high-conviction reversal backed by volume and momentum, whereas a score below 30 might suggest a "fakeout" or a weak structural shift. 🔶 DETAILS The core of the script is a linear classification logic inspired by Support Vector Machines. It takes three primary features into account to determine the "strength" of a break: Relative Volume: Compares current volume to its 20-period average to ensure the break is supported by market participation. RSI Momentum: Measures the distance of the RSI from its midpoint (50) to confirm trend strength. Break Distance: Measures how far the price closed beyond the structural level, normalized by the Average True Range (ATR). These features are multiplied by user-defined weights and then passed through a Sigmoid function to produce a normalized score between 0 and 100. 🔶 SETTINGS 🔹 Market Structure Pivot Lookback: Determines the number of bars required to confirm a pivot high or low. Show BOS/CHoCH: Toggles the visibility of structural break lines and labels. 🔹 SVM Ranking Parameters Relative Volume Weight: Adjusts the influence of volume on the final score. RSI Momentum Weight: Adjusts the influence of RSI deviation from 50 on the final score. Break Distance Weight: Adjusts the influence of the price distance beyond the pivot (relative to ATR). ATR Length: The period used for the ATR normalization of the break distance. 🔹 Dashboard Dashboard: Toggles the visibility of the real-time ranking table. Position: Moves the dashboard to different corners of the chart (Top Right, Bottom Right, Bottom Left). Size: Adjusts the scale of the dashboard text.
Pine Script® göstergesi
LuxAlgo tarafından
3
Support & Resistance Pro Toolkit [LuxAlgo]The Support & Resistance Pro Toolkit indicator is the ultimate professional structural analysis engine for TradingView, meticulously engineered to provide the definitive solution for modern structural analysis by integrating four sophisticated detection algorithms—Pivots, Donchian Alternating, CSID, and ZigZag—marked by directional triangle signals to identify high-conviction swing points. This powerhouse tool allows traders to seamlessly toggle between precise level plotting and dynamic ATR-based zones, both featuring a revolutionary security breakout buffer and 25-bar future projections, alongside advanced filtering based on traded volume, liquidity sweeps (marked by prominent dot signals), re-test frequency, and survival duration. 🔶 USAGE The toolkit identifies significant price structures using one of four sophisticated detection methods. Once a level is identified, it can be displayed as a precise line or a dynamic zone with depth determined by the Average True Range (ATR). Traders can use this toolkit to filter out market noise by setting minimum requirements for volume, re-tests, or liquidity sweeps. This ensures that only the most significant institutional structures are displayed on the chart. 🔹 Advanced Detection Engines The foundation of any structural analysis is detection. This toolkit offers four unique methodologies to suit any trading style: Pivots : The industry-standard approach using left/right strength lookbacks to find peak highs and valley lows. Donchian (Alternating) : A high-performance state-machine detector. It identifies alternating swings without fixed lag, confirming a previous extreme precisely when price shifts to a new directional state (e.g., a new Higher High confirms the previous Lower Low). CSID : A momentum-based detector that identifies structural extremes based on a consecutive sequence of N bullish or bearish candles, highlighting areas of strong trend initiation. ZigZag : A volatility-adjusted method that identifies swings based on a percentage deviation from price, filtering out minor fluctuations and focusing on significant market moves. 🔹 Zone Sizing & The Security Buffer Structural areas are rarely single prices. This toolkit treats S&R as dynamic regions of interest: Zone Depth (ATR Mult) : Zones are calculated using the Average True Range (ATR) to ensure they adapt to current market volatility. This sets the thickness from the swing point inwards towards price. Breakout Buffer (ATR Mult) : A revolutionary "Security Buffer" that extends the zone outwards on the breakout side. This requires price to clear an additional layer of volatility before a breakout is confirmed, significantly reducing "fakeouts" and noise-triggered mitigations. 🔹 Overlap & Structural Hygiene Keep your charts actionable and clean with institutional-grade overlap management: Merge Overlapping : When two zones interact, the older zone expands its boundaries to encompass the newer one, creating a "Super Zone" that respects the combined historical context. Hide Oldest First : Prioritizes the most recent market context by hiding older levels that are overlapped by newer ones. Hide Youngest First : Respects established, historical structures by ignoring newer, smaller levels that form within the range of existing unmitigated zones. 🔹 Institutional Filtering Eliminate minor "noise" levels by showing only structures that meet high-conviction criteria: Price Entries (E) : Shows zones only after they have been re-tested a specific number of times. Strength (S) : Tracks the number of additional swing points that occur within the zone range during its lifetime. Sweeps (SW) : Filters for zones that have successfully trapped liquidity through wick-only violations. Traded Volume (V) : Sums every tick of volume that occurs while price is within the zone, identifying areas of massive institutional participation. Duration (D) : Requires a level to survive for a minimum number of bars before it is considered a valid structure. 🔶 DETAILS 🔹 Symbols & Analytic Feedback ▲/▼ Triangles : Pinpoint markers at the exact bar of every detected swing high and low. ● Large Dots : Marked at the exact location of "Sweeps"—where price wicks past a boundary but closes back inside, signaling a potential reversal or liquidity grab. Future Projections : Active, unmitigated levels extend 25 bars beyond the current price action for immediate visual guidance. Dynamic Shorthand Labels : Positioned at the end of the extension and centered on the zone average, providing a real-time data readout: E:Entries | S:Strength | SW:Sweeps | V:Volume | D:Duration 🔹 The Performance Dashboard A 4-column command center providing a side-by-side comparison of structural performance across Support, Resistance, and Totals: Active / Total : Real-time count of currently valid versus historically detected structures. Mitigation % : The structural "break rate" of your current settings. Avg Duration : The average number of bars a level survives before being violated—critical for timing trades. Avg Volume : The typical "weight" of institutional activity accumulated within zones before they break. Total Sweeps : A macro-view of liquidity hunting activity on both sides of the market. 🔶 SETTINGS 🔹 Detection Settings Detection Method : Choose between Pivots, Donchian, CSID, or ZigZag logic. Swing Sensitivity : Adjusts the lookback or deviation required to confirm a new swing point. 🔹 Zone & Level Sizing Display Style : Toggles between horizontal levels and ATR-based zones. ATR Period : Period used for the volatility calculations. Zone Depth (ATR Mult) : Sets the vertical thickness of the S&R zones. Breakout Buffer (ATR Mult) : Adds a buffer to the breakout side to filter out false breaks. 🔹 Filtering & Visibility Overlap Handling : Manages how overlapping zones are displayed (Merge, Hide Oldest, or Hide Youngest). Max Active (Unmitigated) : Limits the number of unmitigated levels shown on the chart. Show Broken S&R : Toggles the visibility of levels that have already been mitigated. Extend Active S&R : Extends active levels into the future for better visibility. 🔹 Minimum Requirements Min Price Entries : Minimum re-tests required for a level to be visible. Min Overall Strength : Minimum strength score required based on internal swing points. Min Sweeps : Minimum liquidity sweeps required. Min Traded Volume : Minimum accumulated volume required within the zone. Min Duration (Bars) : Minimum age of the level in bars before display.
Pine Script® göstergesi
LuxAlgo tarafından
12
Linear Regression [Anchored, Band, Signals]OVERVIEW This indicator is a statistical analysis tool that plots linear regression channels alongside dynamic deviation bands. It aims to provide a flexible framework for observing price distribution and momentum quality without making predictive claims. ORIGINALITY This indicator provides advanced options for linear regression-based analysis. 📌 Allows setting the calculation window length based on a fixed bar count or an anchored timeframe. 📌 Draws regression channels in either linear or logarithmic scales. 📌 Identifies historical highest and lowest limits in addition to standard deviation levels. 📌 Displays the non-repainting history of the channel via the "Historical Plots" option. 📌 Calculates Pearson's R (correlation strength) and the Theta (θ) angle (the slope of the channel). 📌 Generates Long and Short signals using two distinct filters and four different channel strategies. 📌 Generates alerts based on signals. 📌 Includes dynamic visualization options. Also displays the precise values of the calculated metrics in the Data Window. WHAT IS LINEAR REGRESSION? Linear regression is an analytical method used to calculate a dependent variable based on independent variables when a cause-and-effect relationship exists between them. In this context, the dependent variable is the price, and the independent variable is the time or bar_index. It aims to model the potential behavior of price action based on this relationship. A regression channel is calculated based on the sample deviation and its multiples. Consequently, it is widely utilized to determine dynamic support and resistance levels. REPAINTING AND THE SOLUTION Repainting can be briefly defined as the alteration of past data values in subsequent bars. Because a standard regression channel is recalculated by shifting the array with every new bar, drawings based purely on line functions inherently repaint. However, this indicator overcomes the repainting issue through its "Historical Plots" feature. This option allows users to dynamically observe the true historical states of the channel levels. The signal mechanics of the indicator are also built strictly upon this non-repainting framework to ensure execution integrity. APPLICATIONS The data provided by this tool can be applied in various observational contexts. When prices stretch significantly toward the outer deviation bands, it highlights mathematical extremes that traders often view as potential mean-reversion zones. Conversely, when the price breaks outside the primary boundaries with a high Theta angle, it signals a statistically significant momentum shift. By utilizing the built-in Pearson's R correlation, observers can quantitatively filter out sideways, low-momentum periods (choppy markets) and focus solely on established directional trends. HOW TO USE Begin by defining the calculation scope in the settings, choosing either a fixed bar count or an anchored timeframe (e.g., Daily, Weekly). Select the appropriate scale (Linear or Logarithmic) to match your chart. Toggle the visibility of the central regression line and deviation bands (Upper, Lower, Optional, Highest, Lowest) as needed. In the "Signals" section, you can select a specific channel strategy and apply minimum thresholds for Pearson's correlation and the Theta angle. Enable the "Bands (Historical Plots)" option to visually audit the past states of the channel without current-bar distortion. MECHANICS At its core, the script utilizes the least-squares method to compute the slope and intercept of the price data. To keep the code modular and efficient, the architecture relies on several user-defined functions (e.g., f_calc_dynamic for historical rolling arrays, f_calc_slope_current for real-time line states, and f_scale_converter for logarithmic adjustments). SIGNALS & EXECUTION LOGIC It is important to note that the signal structure built here is a highly subjective approach to linear regression trading. In this sense, the current methodology is merely a "search for an answer" rather than a definitive solution. It aims to provide users with as flexible and customizable a workspace as possible. Filters: This indicator utilizes a state-machine (dir) to prevent consecutive redundant signals and to manage immediate directional reversals. All entry conditions can be independently gated by two optional mathematical filters: Pearson's R (minimum correlation strength) and Theta (θ) (minimum slope angle). Channel Strategies: The script features 5 distinct channel strategy options with specific entry and exit conditions: 1. None (Pure Trend) • Logic: Ignores channel bands entirely and relies purely on trend momentum. • Entry: Triggered when the mathematical Theta (θ) angle crosses the user-defined threshold • Exit: Triggered when the Theta angle crosses the 0 line, indicating a trend exhaustion or directional shift. 2. Deviation | Break-Out • Logic: Uses the current, dynamically calculated upper and lower standard deviation bands to catch momentum breakouts. • Entry: Triggered when the close price crosses over the upper band (Long) or under the lower band (Short). • Exit (Fakeout Protection): Triggered when the close price crosses back inside the respective entry band. This acts as a trailing stop to cut losses early during false breakouts. 3. Deviation | Mean Reversion • Logic: Uses the current dynamic deviation bands to anticipate a price rebound towards the mean. • Entry: Triggered when the close price crosses over the lower band (Long) or under the upper band (Short). Upon entry, a volatility-adjusted hard stop is dynamically recorded (Entry Band ± 1 Standard Deviation). • Exit: Triggers either as a Take-Profit when the price wick (high for Longs, low for Shorts) hits the central Regression Line, OR as a Stop-Loss if the price breaches the recorded hard stop to prevent infinite drawdowns. 4. Highest & Lowest | Break-Out • Logic: Uses 1-bar delayed ( ) highest and lowest recorded deviation lines to provide stable, non-repainting levels for breakout confirmation. • Entry: Triggered when the close price crosses over the historical highest line (Long) or under the historical lowest line (Short). • Exit (Fakeout Protection): Triggered when the close price crosses back inside the respective entry line. 5. Highest & Lowest | Mean Reversion • Logic: Uses the stable 1-bar delayed highest and lowest lines to trade rebounds. • Entry: Triggered when the close price crosses over the lowest line (Long) or under the highest line (Short). Similar to Option 3, a hard stop is recorded at the exact moment of entry. • Exit: Triggers as a Take-Profit upon a wick touch to the central Regression Line, OR as a Stop-Loss upon breaching the recorded hard stop. DISCLAIMER This indicator is strictly a statistical observation tool, not a predictive financial model. Linear regression mathematically describes past price action; it does not forecast future movements. The mathematical filters and deviation bands provided are subjective interpretations of market data and should only be used as supplementary components within a broader, independent risk management framework.
Pine Script® göstergesi
dg_factor tarafından
Sloped Support & Resistance (No REPAINT)🛡️ NO REPAINTING One of the core strengths of this script is its non-repainting nature. The slope of support and resistance is calculated at the moment a pivot high or pivot low is confirmed and is NEVER recalculated. ▶Sloped Support & Resistance with Dynamic Projection This indicator identifies key pivot points and projects Sloped Support and Resistance lines based on the average historical price movement. Unlike static horizontal levels, this script accounts for the current trend's trajectory to provide more dynamic price targets and zones. ▶Key Features Smart Slope Calculation: Instead of simple horizontal lines, it calculates the average slope between recent pivot highs/lows. Auto-Fading History: Older levels automatically dim and labels are cleaned up to keep your chart organized and focused on the most relevant data. Fully Customizable: Adjust the calculation window, pivot sensitivity (Left/Right bars), and visual styles to match your trading timeframe. ▶How it Works Pivot Detection: The script identifies Pivot Highs (Resistance) and Pivot Lows (Support) based on your chosen lookback periods. Average Slope: It measures the price difference between consecutive pivots and calculates an average slope over a specified "Calculation Window." Projection: Lines are projected into the future (500 bars by default) using the calculated slope, helping you anticipate where the next interaction might occur. ▶Input Settings Left/Right Bars: Controls the sensitivity of pivot detection. Calculation Window: The number of previous slopes to average. Max History: Limits the number of active lines displayed on the chart. Projection Length: How far into the future the lines extend. Glow/Line Width: Aesthetic controls for visual clarity. ▶Usage Tip These sloped lines are particularly useful for identifying descending resistance in downtrends and ascending support in uptrends. Use them to spot potential breakout points or trend exhaustion zones. Disclaimer: This indicator is for educational and informational purposes only and does not constitute financial advice.
Pine Script® göstergesi
SatohK tarafından
2
Liquidity Trail Signals [BOSWaves]Liquidity Trail Signals - Structural Trend Engine with Liquidity Zone Detection and Position Management Overview Liquidity Trail Signals is a structure-aware trend following system that tracks directional price movement through an adaptive trailing stop anchored to a baseline EMA, where signal generation is governed by trail crossovers and confirmed by price structure rather than lagging oscillators or fixed threshold conditions. Instead of relying on isolated momentum readings or static support and resistance plotting, trend state, signal generation, and level management are determined through volatility-scaled trail construction, pivot-based liquidity zone detection, and configurable position sizing that adapts entries to either immediate signal changes or trail retest confirmations. This creates a continuously updating trend framework that reflects actual structural conviction rather than noise-reactive triggers - maintaining directional bias while price respects the trail, detecting meaningful liquidity pools at swing pivot levels, and automatically constructing risk-defined position overlays when trend state shifts occur. Price is therefore evaluated relative to a dynamic trail boundary anchored in volatility and price structure rather than arbitrary fixed-distance rules or subjective level placement. Conceptual Framework Liquidity Trail Signals is founded on the principle that durable trend signals emerge when price respects a volatility-scaled trailing stop anchored to a baseline EMA, while actionable liquidity zones form at historical swing pivot highs and lows where institutional order flow is likely concentrated. Traditional trend following tools either use fixed-distance trails that ignore volatility context or rely on static support and resistance levels that require manual placement. This framework replaces both with a unified system built on normalized trail logic, automated pivot-based zone detection, and an integrated position tool that converts every signal into a structured, risk-defined trade setup. Three core principles guide the design: Trend direction should be determined by an EMA-anchored trailing stop that advances in the favorable direction and never retreats until price closes through the trail boundary. Liquidity zones should form automatically at swing pivot highs and lows, tracking breakout and retest behavior to identify when structural order flow has been absorbed or rejected. Every trend signal should be immediately translatable into a defined trade with entry, stop loss, and multiple take profit levels without requiring manual measurement. This shifts trend analysis from reactive signal-following into a structured, position-aware framework with automated liquidity context. Theoretical Foundation The indicator combines EMA baseline smoothing, Average True Range volatility measurement, unidirectional trailing stop logic, pivot-based liquidity zone construction, and configurable position sizing methodology. A fixed-length EMA provides the trend baseline for directional reference and trail anchor calculation, while ATR offers volatility-normalized scaling for trail distance and zone thickness. Pivot detection identifies swing highs and lows that become liquidity zones, tracking break and retest conditions as price interacts with these levels. The position tool converts signal events into visually complete trade setups with risk-proportional take profit projections. Four internal systems operate in tandem: Trend Engine : Computes EMA baseline and maintains a volatility-scaled unidirectional trailing stop that advances with trend and reverses only on a confirmed close-based crossover. Liquidity Zone System : Detects swing pivot highs and lows using a configurable lookback, constructs zones at each pivot, and monitors break and retest behavior with dynamic visual state updates. Break and Retest Engine : Identifies when price closes through existing liquidity zones, marks broken zones with faded appearance, and detects subsequent retests for continuation confirmation signals. Position Tool : Generates entry, stop loss, and three configurable R-multiple take profit levels on every signal, with selectable entry mode and optional left-edge pinning behavior. This design allows each system component to inform the others - trail position sets stop loss distance, liquidity zones provide structural context, and break or retest events produce additional signal conditions beyond the primary trail crossover. How It Works Liquidity Trail Signals evaluates price through a sequence of structure-aware processes: Baseline Calculation : EMA smoothing of close price over a configurable length creates a directional trend reference used as the trail anchor point. Trail Positioning : In bullish trend, the trail sits below the EMA acting as dynamic support; in bearish trend, the trail sits above the EMA acting as dynamic resistance. Trail Advancement Logic : The bullish trail can only rise, never fall; the bearish trail can only fall, never rise, creating a unidirectional risk boundary that locks in favorable progress. Trend State Switches : Price closing below the bullish trail triggers a bearish state switch with a diamond signal marker; price closing above the bearish trail triggers a bullish state switch with a diamond signal marker. Pivot Detection : Swing highs and lows identified using a configurable lookback window are registered as liquidity zone anchor points at their respective price levels. Zone Construction : Each pivot creates a forward-extending box sized to current volatility, colored to reflect whether the level represents supply (swing high) or demand (swing low). Break Detection : A close above a zone's upper boundary triggers a bullish break; a close below the lower boundary triggers a bearish break, updating the zone's appearance to a broken state. Retest Detection : After a confirmed break, price re-entering the zone and closing back on the correct side registers a retest event, updating the zone label and reinforcing the border. Zone Management : Maximum zone count is enforced using FIFO rotation; broken zones are optionally retained or removed immediately based on user preference. Position Tool Construction : On the signal entry bar, close price is used as entry, the trail level is used as stop loss, and R-multiple projections are calculated for three configurable take profit targets. Position Extension : All position lines, labels, and the risk box extend to the current bar each tick with optional left-edge pinning to the current bar or locking to the original entry bar. Together, these elements form a continuously updating structural framework that connects trend state, liquidity context, and trade management into a single coherent system. Interpretation Liquidity Trail Signals should be interpreted as a unified trend and structure system with integrated position management context: Bullish Trend State (Green) : Established when price remains above the adaptive trailing stop, indicating sustained upward momentum with the trail acting as dynamic rising support. Bearish Trend State (Red) : Established when price remains below the adaptive trailing stop, signaling sustained downward momentum with the trail acting as dynamic falling resistance. Trend Cloud : Gradient-filled zone between the EMA baseline and trailing stop provides visual reference for the structural gap between smoothed price and the dynamic risk boundary. ◆ Buy Signals : Green diamond markers appear on the trail when trend state switches from bearish to bullish, indicating a confirmed structural momentum shift to the upside. ◆ Sell Signals : Red diamond markers appear on the trail when trend state switches from bullish to bearish, signaling a confirmed structural momentum shift to the downside. Colored Candles : Bar coloring reflects current trend state for immediate directional reference across the full price history. Supply Zones (Red Boxes) : Volatility-sized zones at swing pivot highs marking areas of likely overhead supply or historical selling pressure. Demand Zones (Green Boxes) : Volatility-sized zones at swing pivot lows marking areas of likely structural support or historical buying interest. Broken Zone Appearance : Faded fill with reduced border opacity indicates price has closed through the zone, signaling absorption or displacement of that liquidity pool. Retested Zone Labels : Updated label text and thickened border indicates a broken zone has been successfully retested, confirming role reversal from support to resistance or vice versa. Position Tool Overlay : Visual trade layout showing entry level, stop loss at the current trail, and TP1/TP2/TP3 at configurable R-multiples with color-graded lines and labeled price levels. Trail direction, zone interaction behavior, and the structural position of price relative to liquidity pools outweigh isolated candle patterns or short-term price oscillations. Liquidity Zones The liquidity zone system detects swing pivot highs and lows using a configurable lookback window and constructs forward-extending boxes at each pivot level, creating an automated structural map of likely supply and demand concentrations without manual placement. Zone behavior follows a defined lifecycle: Active Zones : Newly created zones display with standard fill opacity, indicating an untested liquidity pool that price has not yet interacted with following creation. Broken Zones : When price closes through a zone boundary, the box transitions to a faded broken state using configurable opacity, signaling that the liquidity pool has been absorbed or displaced. Bullish breaks of supply zones and bearish breaks of demand zones each generate distinct alert conditions. Retested Zones : After a confirmed break, if price returns to the zone and closes back on the originating side, the zone is marked as retested with updated label text and a reinforced border, confirming role reversal behavior. Zone Rotation : When the maximum zone count is reached, the oldest zone is removed to maintain chart clarity. Broken zones can optionally be retained using the Keep Broken Zones setting, allowing historical structural context to remain visible until naturally rotated out. Zone thickness is controlled by the Zone Thickness multiplier, allowing adjustment of how wide each liquidity band appears relative to current volatility. Extending the forward projection through the Extend Bars parameter keeps zones visible further into the right side of the chart for ongoing reference. Liquidity zone alerts include bullish and bearish break conditions for immediate displacement detection, and bullish and bearish retest conditions for role-reversal confirmation, enabling systematic monitoring of structural level interactions without constant manual observation. Position Tool The position tool automatically constructs a complete trade layout on every signal bar, converting trend state switches or trail retest entries into structured, risk-defined setups with entry, stop loss, and three take profit levels calculated from the current risk distance. Two entry modes are available: Signal Change : The position tool draws immediately on the bar where trend state flips, using close as entry and the current trail as stop loss. This mode prioritizes responsiveness and captures the full move from the initial crossover. Trail Retest : After a trend flip, the system waits for price to pull back and touch the trail before triggering, using the touch bar's close as entry. This mode prioritizes confirmation and typically offers a tighter risk-to-reward setup by entering at a structurally tested trail level rather than the initial crossover candle. Stop loss is always set at the trail level at the time of entry, ensuring the risk boundary reflects the dynamic structural floor or ceiling rather than a fixed distance. Three take profit levels are calculated as R-multiples of the entry-to-stop distance: TP1 : First partial target at configurable R, typically used for early profit protection or a break-even scale-out level. TP2 : Second target at configurable R, representing a standard reward objective relative to the defined risk. TP3 : Third target at configurable R, displayed with a full-opacity line as the extended profit objective and runner target. The risk zone between entry and stop loss is shaded with a subtle background fill to provide immediate visual reference for the defined risk area on each setup. Left-edge behavior is controlled by the Pin to Current Bar setting - when disabled, the left edge locks to the original entry bar preserving the historical trade layout; when enabled, it slides with the current bar for a compact forward-looking view. All lines, labels, and the risk box extend automatically to the current bar plus the configured Extend Bars offset. Signal Logic & Visual Cues Liquidity Trail Signals presents four primary interaction signals: Buy Signal (◆) : Green diamond appears when trend state switches from bearish to bullish via trailing stop crossover, suggesting momentum shift to upside with a new dynamic support level established. Sell Signal (◆) : Red diamond displays when trend state switches from bullish to bearish via trailing stop crossunder, indicating momentum shift to downside with a new dynamic resistance level established. Liquidity Break : Generated when price closes through an active supply or demand zone, signaling displacement of the identified liquidity pool and potential continuation in the breakout direction. Liquidity Retest : Generated when price returns to a broken zone and closes back on the originating side, confirming role reversal and offering secondary entry confirmation in the breakout direction. Alert generation covers all four signal categories - bull and bear trend signals, bull and bear zone breaks, bull and bear zone retests, and bull and bear trail retest entries - enabling systematic monitoring across all interaction types. Strategy Integration Liquidity Trail Signals fits within structural trend-following and liquidity-aware approaches: Trail-Based Risk Management : Use the trailing stop as the primary risk boundary - close long positions when price closes below the bullish trail, close short positions when price closes above the bearish trail. Liquidity Zone Confluence : Enter trend-aligned positions when price retests broken demand zones during bullish trend states or broken supply zones during bearish trend states for structural confirmation. Position Tool Execution : Use the automatically generated entry, stop loss, and take profit levels as trade management anchors rather than manually measuring risk-reward from each signal. Trail Retest Entry Refinement : Switch to Trail Retest mode for entries requiring structural confirmation, accepting a slightly later entry in exchange for a higher-probability setup at a tested trail level. Zone Cluster Analysis : Monitor areas where multiple liquidity zones stack in close proximity as these represent denser structural memory with heightened probability of meaningful price reactions. Multi-Level Take Profit Laddering : Use TP1 as an initial scale-out to reduce risk, TP2 as the primary profit objective, and TP3 as a runner target held while the trail continues to advance. Multi-Timeframe Confirmation : Apply higher-timeframe trend state as a directional filter for lower-timeframe entries, ensuring zone interactions and trail crossovers are taken in the direction of broader structural momentum. Technical Implementation Details Core Engine : Configurable EMA baseline with ATR volatility measurement and adjustable trail distance multiplier Trail Model : Unidirectional advancing logic anchored to EMA, reversing only on confirmed close-based crossover Pivot System : Configurable swing lookback for high and low detection with forward-extending zone construction Zone Lifecycle : Active, broken, and retested states with automatic appearance transitions and FIFO rotation at maximum zone capacity Position Tool : Dual entry mode system (Signal Change / Trail Retest) with R-multiple take profit calculation and optional left-edge pinning Visualization : Trend cloud fill between EMA and trail, diamond signal markers, colored candles, and full position tool overlay Signal Logic : State-switch detection for trend signals, close-based break detection for zone signals, and touch-then-close retest confirmation Performance Profile : Optimized for real-time execution across all timeframes with efficient zone management and minimal object overhead Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Scalping with responsive trail settings and tighter zone thickness for high-frequency structural interaction 15 - 60 min : Intraday momentum following with balanced trail distance and standard zone management 4H - Daily : Swing-level structural trend identification with wider trail tolerance and extended zone projection Suggested Baseline Configuration: MA Length : 28 ATR Length : 15 Trail Distance : 1.25 ATR Swing Lookback : 12 Zone Thickness : 0.35 ATR Max Zones : 3 Extend Bars : 50 Keep Broken Zones : Enabled Broken Zone Fade : 88 Entry Mode : Signal Change TP1 : 1.0R | TP2 : 2.0R | TP3 : 3.0R Bullish Color : Green (#00ff00) Bearish Color : Red (#ff0000) These suggested parameters should be used as a baseline; their effectiveness depends on the asset's volatility profile, trending characteristics, and preferred signal frequency, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Trail too close or loose : Adjust Trail Distance to modify how far the trailing stop sits from the EMA baseline - lower values create tighter trails with more frequent flips, higher values create looser trails with greater trend persistence. Too many liquidity zones cluttering the chart : Reduce Max Zones to focus on the most recent structural levels, or decrease Swing Lookback to reduce pivot detection sensitivity. Zones breaking too frequently : Reduce Zone Thickness to narrow zone bands, requiring price to move further through the level before a break is registered. Missing important swing levels : Increase Swing Lookback to detect only the most significant pivots rather than minor swings, creating fewer but higher-conviction zone levels. Broken zones too distracting : Increase Broken Zone Fade toward 95-100 to make broken zones nearly invisible while retaining chart history, or disable Keep Broken Zones to remove them immediately upon break. Position tool entries too aggressive : Switch Entry Mode to Trail Retest to require price to return to and confirm the trail before constructing the position layout. Take profit levels too conservative or extended : Adjust TP1, TP2, and TP3 R-multiple values to match the typical reward structure of the traded instrument and timeframe. Position tool lines extending too far : Reduce Position Tool Extend Bars to keep the forward projection compact relative to recent price action. Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions. Performance Characteristics High Effectiveness: Trending markets with clear directional persistence where the trail advances continuously without frequent state reversals Instruments with defined swing structure where pivot highs and lows create meaningful liquidity concentrations Momentum continuation strategies using broken and retested liquidity zones as structured re-entry points Swing trading approaches benefiting from automated position tool construction and multi-R take profit laddering Markets where role reversal behavior at broken supply and demand zones occurs with sufficient regularity for zone retest signals to add value Reduced Effectiveness: Choppy, range-bound markets with frequent trail crossovers producing whipsaw signals and repeated position tool resets News-driven or gapped markets with discontinuous price action that bypasses trail logic and creates incomplete zone interactions Markets with irregular swing structure where pivot detection produces levels at unsuitable price points Consolidation and sideways price action where trend-following methodologies inherently struggle due to absence of sustained directional movement Integration Guidelines Confluence : Combine with BOSWaves structure analysis, volume indicators, or session-based levels for additional zone confirmation Trail Respect : Honor the trailing stop as the primary risk boundary - maintain positions while price respects the trail and close positions on confirmed breach Zone Prioritization : Focus on liquidity zones that align with the current trend state - demand zones during bullish trends, supply zones during bearish trends Position Tool Discipline : Use the automatically constructed position levels as pre-defined management anchors, avoiding manual adjustment of stop loss beyond the trail level Retest Patience : Where zone retest signals are present in trend direction, treat them as higher-conviction continuation setups relative to raw trail crossover entries State Discipline : Maintain directional bias aligned with current trend state until a confirmed trail breach occurs, regardless of short-term oscillation within the cloud Multi-Timeframe Alignment : Use higher timeframe trend state as a directional filter for lower timeframe entries to ensure structural confluence across time horizons Disclaimer Liquidity Trail Signals is a professional-grade trend following and structural liquidity detection tool. It uses volatility-normalized trailing stops, pivot-based zone construction, and integrated position sizing but does not predict future price movements. Results depend on market conditions, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, volume context, and comprehensive risk management.
Pine Script® göstergesi
BOSWaves tarafından
9
BMM V3BMM V1.2 is a technical analysis indicator designed to help traders visualize potential trend opportunities using moving average crossovers combined with higher timeframe confirmation. The indicator highlights possible buy and sell signals when momentum shifts occur in alignment with the broader trend. It also automatically plots risk-to-reward levels on the chart to assist with trade planning. How It Works Signal Generation • A Buy signal appears when the fast moving average crosses above the slow moving average while the higher timeframe trend is bullish. • A Sell signal appears when the fast moving average crosses below the slow moving average while the higher timeframe trend is bearish. Entry Reference Signals are generated on the closing price of the candle where the crossover is confirmed. Stop Loss The stop loss level is calculated automatically using the most recent swing high or swing low in the market. Take Profit Levels Three take-profit levels are projected using risk-to-reward ratios: • TP1 – 1:1 • TP2 – 1:2 • TP3 – 1:3 These levels help traders visualize potential trade management scenarios. Chart Visualization The indicator automatically plots the following levels on the chart: • Entry level • Stop loss • Take-profit targets (TP1, TP2, TP3) These levels extend forward on the chart to help visualize trade structure. Alerts Alert conditions are available for: • Buy signals • Sell signals • Take-profit levels • Stop-loss levels Alerts can be used for notifications or automation workflows. Notes Signals are confirmed only after the candle closes. Higher timeframe data is used for trend confirmation and may update when the higher timeframe candle closes. This indicator is intended to assist with market analysis and trade planning. Disclaimer This script is provided for educational and analytical purposes only. It does not constitute financial advice. Trading involves risk and users should perform their own analysis and risk management before making trading decisions.
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Mwabu_Fx_Sniper tarafından
edgeful - iFVG - inverse fair value gaps edgeful - iFVG - Inverse Fair Value Gaps Automatically detects and plots Inverse Fair Value Gap (iFVG) zones — an advanced ICT / Smart Money Concepts price action concept where a mitigated Fair Value Gap flips polarity and becomes a high-probability support or resistance zone. --- What is an Inverse Fair Value Gap? A standard Fair Value Gap (FVG) is a 3-candle price imbalance that acts as a magnet for price to return and fill. When price fully closes through that FVG, the zone inverts — a bullish FVG becomes a bearish iFVG (resistance), and a bearish FVG becomes a bullish iFVG (support). These inverted zones are among the most precise re-entry and reaction levels in ICT methodology. --- How it works 1. Detects all standard 3-candle FVGs in real time 2. When price fully closes through an FVG (mitigation), the zone flips polarity and is redrawn as an iFVG 3. iFVG zones remain active until price closes through them again (invalidation) 4. Expired zones are automatically removed based on a configurable age limit --- Features - Bullish and bearish iFVG zones with fully customizable colors - Optional display of original FVGs before inversion - Mitigation mode: Close (candle close) or Wick (candle high/low) - Minimum FVG size filter (% of price) to eliminate noise - Session filter — limit detection to NY, London, or any custom session - Max Zone Age input — removes stale zones older than N bars - Two alert conditions: bullish iFVG created, bearish iFVG created
Pine Script® göstergesi
getedgeful tarafından
Reversal Candlestick Patterns reinforced with Slow StochasticStandalone candlestick patterns are often subjective noise. This script transforms visual price action into strict mathematical algorithms, filtering reversals through momentum exhaustion to provide objective, data-backed execution triggers. Core Mechanics Algorithmic Price Action: Hardcoded geometric proportions for Engulfing lines, Partial Penetrations (Piercing/Dark Cloud), Umbrellas (Hammers/Shooting Stars), and Dojis. No approximations. Momentum Exhaustion: Signals strictly fire only when the smoothed 10-6-3 Slow Stochastic is in extreme zones: < 25% (BULL) or > 75% (BEAR). Macro-Trend Filter: Optional Multi-Timeframe EMA to ensure signals align with the dominant structural flow. Strategic Execution ⚠️ WARNING: USE ONLY AT KEY LEVELS. This tool is designed as a micro-sentiment execution trigger, not a standalone system. For high-probability asymmetry, wait for price to test a verified structural defence area. When price interacts with that precise geometry and this indicator simultaneously prints a confirmed signal, you have an objective, mathematically validated setup.
Pine Script® göstergesi
Lorjan500 tarafından
2
Swing LevelsSwing Levels is a market structure indicator that identifies confirmed swing highs and swing lows and converts them into horizontal reference levels on the chart. The purpose of the indicator is to visualize recent structural turning points and help observe how price interacts with those areas over time. The script also connects consecutive pivots with diagonal structure lines to illustrate the progression of swings within the current market movement. Calculation concept The indicator detects structural pivots using a swing detection algorithm based on two parameters: pivot depth and price deviation. Pivot Depth defines the number of surrounding bars used to determine whether a local high or low qualifies as a swing point. Pivot Deviation defines the minimum price distance required between swings. This helps filter small fluctuations and focuses on structurally meaningful movements. When a new swing is confirmed, the indicator: 1. identifies whether the pivot is a swing high or swing low, 2. records the price level and bar index of that pivot, 3. draws a horizontal level at the pivot price, 4. connects the new pivot to the previous pivot with a diagonal structure line. Horizontal levels represent areas where price previously changed direction with sufficient momentum to form a structural turning point. What the indicator displays The indicator can display three structural elements: Horizontal swing levels Each confirmed pivot becomes a horizontal level. These levels represent prices where the market previously reacted and formed a structural reversal. Diagonal structure lines Consecutive pivots are connected by diagonal lines to visualize the sequence of price swings and structural development. Recent extreme reference lines Optional dashed lines can extend from recent structural extremes to provide a reference for the most recent swing highs and lows. Horizontal levels are dynamically colored depending on their relation to the current price: • levels above the current price represent potential overhead resistance areas • levels below the current price represent potential support areas Inputs Pivot Depth Controls the sensitivity of swing detection by defining the number of bars used to identify pivots. Pivot Deviation (ticks) Defines the minimum price deviation required for a pivot to be considered significant. Max Horizontal Levels Limits the number of horizontal levels maintained on the chart. Extend Levels Right Extends confirmed levels forward as new bars appear. Diagonal Line Thickness Controls the visual thickness of structure lines. Max Diagonal Objects Limits the number of diagonal structure elements stored by the indicator. Show Last Extremes Lines Displays reference lines from the most recent swing extremes. Practical use Swing Levels may be used to: • observe where price previously reversed or reacted • monitor how price behaves when revisiting prior structural areas • track the sequence of higher highs, lower highs, higher lows, and lower lows • combine structural levels with independent analytical methods such as price action or risk management The indicator highlights historical structural points and does not attempt to forecast future price movement. Scope This script visualizes market structure derived from confirmed swing points. It does not generate automated trading signals and does not define entry or exit conditions. The indicator is intended as a structural analysis tool that can complement other analytical approaches.
Pine Script® göstergesi
MarketStructureLab tarafından
3
Smart Money: Auto Order Blocks [identityKa]Overview The Smart Money: Auto Order Blocks is a professional-grade volume and structural mapping tool designed for SMC (Smart Money Concepts) traders. Order Blocks represent areas where large financial institutions have accumulated significant buy or sell positions. Unlike basic pivot indicators that leave cluttered lines on the chart indefinitely, this script introduces a Smart Mitigation Engine that automatically tracks the validity of these institutional zones in real-time. Core Mechanics & Detection The algorithm uses pivot sensitivity to locate origin points of major market imbalances: Bearish Order Blocks (Supply): Detected at the absolute high of a structural swing before a major downward move. The box is drawn from the wick's high to the highest candle body in that cluster, encapsulating the entire institutional sell zone. Bullish Order Blocks (Demand): Detected at the absolute low of a structural swing before a major upward move. The box encapsulates the wick's low up to the lowest candle body. The Smart Mitigation Engine A fundamental rule of SMC is that once an Order Block is fully pierced and the price closes beyond it, the institutional orders within that zone are considered filled or "Mitigated." This script constantly monitors the closing price. If a candle strictly closes above a Bearish OB, or strictly below a Bullish OB, the algorithm mathematically invalidates the zone. Upon mitigation, the box is instantly deleted from the chart, ensuring that only "Fresh" and highly reactive unmitigated zones are visible to the trader. This keeps the workspace incredibly clean. HUD Dashboard & AI Logic The on-chart intelligence panel evaluates the proximity of the live price to the active Order Blocks: Dangerous: Displayed actively whenever the current live price is trading inside the coordinates of an unmitigated Order Block. This serves as a warning that the price is in an institutional high-friction area where sharp rejections and high volatility are imminent. LONG / SHORT: The engine tracks the macro bias based on the last mitigation event. If a Bearish OB was broken upwards (invalidated resistance), the macro bias shifts to LONG. If a Bullish OB was broken downwards, the bias shifts to SHORT. How to Use It This tool provides exceptional context for trade entries. When the AI Suggestion reads "LONG," traders should patiently wait for the price to pull back into a green Bullish OB zone. Once the price enters the zone (triggering the "Dangerous" state), traders can drop to a lower timeframe (e.g., 5-minute) to spot a micro-reversal pattern before executing a trade aligned with the macro trend.
Pine Script® göstergesi
IdentityKa tarafından
Global Risk DashboardWith the current global situation becoming increasingly unstable, markets across energy, precious metals, volatility, and crypto have been moving rapidly. During periods like this, it’s important to monitor multiple asset classes at the same time. I noticed that I was constantly switching between several watchlists and charts just to keep track of the instruments I care about. To make this easier, I built a simple Global Risk Dashboard that displays all key markets in one place. The dashboard allows you to quickly see price levels and daily performance across different asset groups, helping you understand the broader market environment without constantly changing charts. Key Features Custom Sections – Create up to 8 sections to organize markets however you like (Energy, Metals, Crypto, FX, Equities, etc.) Up to 5 Instruments per Section – Monitor multiple assets within each category. Enable / Disable Sections – Show only the groups you care about. Enable / Disable Individual Instruments – Fully customizable layout. Color-Coded Performance – Cells automatically change color based on daily performance. Daily Price + % Change – Quickly identify which markets are moving. Flexible Layout – Sections automatically adjust depending on what you enable. Example Use Cases You might organize sections like: Volatility (VIX, VVIX, MOVE) Energy (WTI, Brent, NatGas) Precious Metals (Gold, Silver, Copper) Crypto (BTC, ETH, Total Market Cap) Macro (DXY, US Yields, Equity Indexes) But the layout is fully customizable, so you can build a dashboard tailored to your own workflow. Why This Tool Exists The goal of this script is simple: reduce the need to constantly switch between watchlists and charts during fast-moving market conditions. Instead, you get a single, compact overview of the markets that matter to you.
Pine Script® göstergesi
QuantNomad tarafından
Liquidity Heatmap [MTF] - Volume Delta [PhenLabs]Liquidity Heatmap — Volume Delta Version: PineScript™ v6 📌 Description The PhenLabs Liquidity Heatmap — Volume Delta is an advanced, anti-clutter volume and order flow analysis tool. It calculates and visualizes a single composite profile by merging Volume and Delta data across up to four distinct timeframes simultaneously. By isolating the Point of Control (PoC) and Delta-PoC, this indicator helps traders pinpoint high-probability liquidity zones, accumulation/distribution nodes, and critical support/resistance levels without overwhelming the chart with overlapping profiles. 🚀 Points of Innovation Single Composite Profile: Merges multiple timeframe profiles into one clean, unified heatmap, drastically reducing chart clutter. Integrated Delta Analysis: Evaluates intrabar buying and selling pressure to locate the Delta-PoC, revealing where institutional aggression is concentrated. Automated MTF Confluence: Detects and highlights overlapping liquidity zones across different timeframes based on customizable tolerance percentages. 🔧 Core Components Bin Computation Engine: Divides price action into a user-defined number of price bins, aggregating both total volume and delta over a specified lookback period. MTF Data Aggregation: Utilizes advanced security requests to fetch bin data from up to four different timeframes (e.g., 1m, 15m, 1H, 4H) without repainting. State Tracking: Monitors the shift in PoC and Delta-PoC to detect bias flips and momentum changes. 🔥 Key Features Dynamic Dashboard: An interactive on-chart table displays current PoC, Delta-PoC, directional bias, and structural flips for each active timeframe. Actionable Signals: Automatically plots on-chart labels for PoC Breakouts (▲/▼) and Delta Reversals (Δ↑/Δ↓) to highlight immediate trade opportunities. Accumulation/Distribution Tinting: Visually labels volume nodes to quickly identify where buyers or sellers are trapped. Customizable Cutoffs: Includes a volume cutoff filter to hide insignificant price bins and maintain visual clarity. 🎨 Visualization Shaded Heatmap Bins: Projects volume nodes directly onto the price axis. Precision Lines: Clearly plots the PoC and Delta-PoC levels for precise entry and exit targeting. On-Chart Labels: Minimalist signal tags keep the focus on price action while alerting to structural shifts. 📖 Usage Guidelines Lookback & Bins: Adjust the lookback bars (default 200) and price bins (default 50) based on your chart's volatility. Fewer bins provide a cleaner look. Timeframes: Enable up to three additional higher timeframes to build a comprehensive view of macro liquidity. Volume Cutoff: Increase the cutoff percentage to hide thin, irrelevant volume nodes and focus solely on high-value areas. ✅ Best Use Cases Liquidity Sweeps: Watch for price to pierce the composite PoC or Delta-PoC and reject, signaling a successful liquidity sweep. Trend Continuation: Enter trades in the direction of the macro bias when lower timeframe Delta Reversal signals align with higher timeframe PoCs. Breakout Trading: Capitalize on explosive moves when price definitively breaks and holds outside a clustered MTF confluence zone. 💡 Note This indicator is optimized for lower timeframes acting as the base chart, with higher timeframes providing the macro structural data. Always use this tool in conjunction with price action analysis and broader market context.
Pine Script® göstergesi
PhenLabs tarafından
Adaptive Velocity Oscillator [UAlgo]Adaptive Velocity Oscillator is a momentum and reversal framework built around the rate of change of an Adaptive Moving Average. Instead of using a fixed smoothing engine, the script first creates a Kaufman style adaptive average whose responsiveness changes according to market efficiency, then measures how fast that adaptive baseline is moving from one bar to the next. That velocity becomes the core oscillator. The main idea is straightforward. When the adaptive average starts accelerating upward, the oscillator rises above zero. When the adaptive average starts decelerating or turning lower, the oscillator falls below zero. This gives the user a direct view of directional pressure, but in a way that remains sensitive to changing market conditions because the underlying average itself is adaptive rather than static. To make the oscillator more practical, the script surrounds the velocity with dynamic filter bands derived from the standard deviation of the AMA series. These bands act like a contextual noise threshold. Small fluctuations inside the band are treated as less important, while stronger moves through the band can be interpreted as meaningful directional expansion or reversal activity. The script also supports two signal styles. Standard mode reacts to velocity transitions through the regular filter band. Extreme Reversal mode requires a deeper stretch into an expanded threshold before signaling a reversal style response. Optional price confirmation can then require bullish candle structure for buy signals and bearish candle structure for sell signals. A cooldown filter is added on top so the same type of signal cannot repeat too rapidly. The result is an oscillator that can be used for trend context, reversal spotting, and momentum transition analysis. It is especially useful for traders who want something more adaptive than a traditional moving average crossover or a simple rate of change calculation. 🔹 Features 🔸 Adaptive AMA Core The script uses an adaptive moving average whose smoothing constant changes according to the Efficiency Ratio. When price is moving efficiently in one direction, the average becomes more responsive. When price is noisy and directionless, the average becomes slower and more stable. 🔸 Velocity Based Oscillator The oscillator is not built from price directly. It is built from the bar to bar change of the adaptive average. This means the indicator measures how quickly the smoothed baseline itself is moving, which creates a cleaner momentum signal than raw price change alone. 🔸 Dynamic Filter Bands A statistical filter band is calculated from the standard deviation of the AMA series and then scaled by the user selected gamma value. This creates a noise threshold that expands and contracts with market conditions. 🔸 Standard and Extreme Reversal Modes In Standard mode, signals are generated when velocity crosses back through the regular filter threshold. In Extreme Reversal mode, the script requires a deeper stretch using an expanded band before a signal can trigger. This gives the user a choice between more responsive and more selective behavior. 🔸 Optional Price Confirmation Signals can require candle confirmation. Bullish signals may be restricted to bars where close is above open, and bearish signals may be restricted to bars where close is below open. This can help reduce signals that appear without supportive candle structure. 🔸 Cooldown Protection A built in cooldown logic prevents repeated same side signals from firing too close together. This helps reduce clustering during noisy or oscillatory phases. 🔸 Trend State From Zero Crosses The script also tracks velocity crosses through zero. These zero transitions can be interpreted as broader positive or negative momentum regime shifts. 🔸 Visual Context Through Color and Bands The histogram and line coloring change according to whether velocity is strongly positive, strongly negative, or neutral relative to the filter zone. This makes the oscillator easy to read at a glance. 🔸 Signal Labels and Alerts The indicator places buy and sell labels around qualifying signal bars and includes alert conditions for bullish signals, bearish signals, positive trend shifts, and negative trend shifts. 🔹 Calculations 1) AMA State Container type AMACalculator float value = na float value_prev = na float velocity = 0.0 float filterBand = 0.0 This object stores the internal state of the adaptive average engine. value holds the latest AMA value. value_prev stores the previous AMA value. velocity stores the bar to bar change of that AMA. filterBand stores the active dynamic threshold used later for signal filtering. So before any signal logic begins, the script already has a dedicated structure for the adaptive average, its momentum, and its statistical band. 2) Efficiency Ratio Calculation float change = math.abs(src - src ) float volatility = math.sum(math.abs(src - src ), lengthER) float ER = volatility == 0 ? 0 : change / volatility This is the first major step inside the AMA calculation. The script compares two quantities. change measures the net directional move from the current price back to the price lengthER bars ago. volatility measures the total path traveled during that same interval by summing all absolute bar to bar changes. The Efficiency Ratio is then: ER = change / volatility If price moved smoothly in one direction, net change will be large relative to total movement, and ER will be high. If price moved in a noisy back and forth way, total movement will be large but net change will be smaller, so ER will be low. This ratio tells the AMA how efficiently price has been moving, which directly controls how responsive the adaptive average should become. 3) Building the Adaptive Smoothing Constant float fastest = 2.0 / (fastLen + 1) float slowest = 2.0 / (slowLen + 1) float sc = math.pow(ER * (fastest - slowest) + slowest, 2) This block converts the Efficiency Ratio into a smoothing constant. First, the script computes the EMA style constants for the chosen fast and slow lengths. Then it blends between them using ER. When ER is high, the result moves closer to the fast setting. When ER is low, the result stays closer to the slow setting. Finally, the blended value is squared. This is a classic AMA technique that makes the adaptive response more sensitive to efficiency changes. So the smoothing constant automatically shifts between fast and slow behavior depending on market structure. 4) Updating the Adaptive Moving Average this.value_prev := this.value float prevAma = na(this.value_prev) ? src : this.value_prev this.value := prevAma + sc * (src - prevAma) This is the actual AMA update formula. The script first stores the previous AMA value. If no previous value exists yet, it uses the current source as the starting point. Then it updates the average using: new AMA = previous AMA + smoothing constant × (source minus previous AMA) So the adaptive average moves toward price, but the speed of that movement depends entirely on the previously calculated smoothing constant. When the market is efficient, the average reacts more quickly. When the market is noisy, it reacts more slowly. 5) Computing Velocity this.velocity := this.value - prevAma This single line is the core of the oscillator. Velocity here is simply the difference between the current AMA value and the previous AMA value. If the adaptive average is rising, velocity is positive. If the adaptive average is falling, velocity is negative. If the adaptive average is barely moving, velocity stays close to zero. So the oscillator is not measuring price change directly. It is measuring the momentum of the adaptive baseline itself. 6) Creating the Dynamic Filter Band float amaGlobalSeries = amaObj.value float sigma = ta.stdev(amaGlobalSeries, n) amaObj.filterBand := gamma * sigma After the AMA is calculated, the script builds a dynamic filter threshold from its standard deviation. sigma measures how much the AMA has been varying over the selected period. That value is then scaled by gamma to create the final filter band. So the band expands when the adaptive average becomes more variable and contracts when the average becomes quieter. This creates a context aware threshold that helps separate meaningful momentum movement from smaller background fluctuations. 7) Regular Band and Extreme Band float currentVelocity = amaObj.velocity float currentFilter = amaObj.filterBand float extremeBand = currentFilter * extMulti This block prepares the two signal thresholds used later. currentFilter is the normal band. extremeBand is a larger band created by multiplying the normal band by the user selected extreme multiplier. So the script supports two layers of selectivity: a regular threshold for Standard mode, and a deeper threshold for Extreme Reversal mode. 8) Raw Signal Logic bool rawBullSignal = sigMode == "Standard" ? ta.crossover(currentVelocity, -currentFilter) : ta.crossover(currentVelocity, -extremeBand) bool rawBearSignal = sigMode == "Standard" ? ta.crossunder(currentVelocity, currentFilter) : ta.crossunder(currentVelocity, extremeBand) This is the primary signal engine. In Standard mode: a bullish signal appears when velocity crosses upward through the negative regular filter level. a bearish signal appears when velocity crosses downward through the positive regular filter level. In Extreme Reversal mode: a bullish signal requires velocity to recover upward through the deeper negative extreme band. a bearish signal requires velocity to fall downward through the deeper positive extreme band. The important idea is that signals are not based on zero line crosses alone. They are based on velocity reentering from stretched territory. That makes the logic more reversal oriented than a simple trend flip model. 9) Optional Price Confirmation if reqPriceConf rawBullSignal := rawBullSignal and close > open rawBearSignal := rawBearSignal and close < open This block adds an extra candle structure filter. If price confirmation is enabled: bullish signals are only allowed when the bar closes above its open. bearish signals are only allowed when the bar closes below its open. This can help reduce signals that occur mathematically in the oscillator but do not have supportive price behavior on the actual candle. So the oscillator can be used either in pure indicator form or with a stricter candle aligned confirmation layer. 10) Cooldown Filter Logic method filterSignal(array arr, bool cond, int waitBars) => bool isValid = false if cond int lastSignalBar = arr.size() > 0 ? arr.get(0) : -waitBars - 1 if (bar_index - lastSignalBar) >= waitBars isValid := true arr.unshift(bar_index) if arr.size() > 2 arr.pop() isValid This method prevents signals from firing too frequently. When a new raw signal appears, the script looks at the most recent stored signal bar for that direction. If enough bars have passed since the previous signal, the new one is accepted. Otherwise it is ignored. The accepted signal bar index is then stored at the front of the array. Only a small recent history is kept. So this method acts as a timing gate that stops repetitive same side signals during choppy conditions. 11) Final Signal Construction var array lastBull = array.new() var array lastBear = array.new() bool finalBullSignal = lastBull.filterSignal(rawBullSignal, cooldown) bool finalBearSignal = lastBear.filterSignal(rawBearSignal, cooldown) This is where raw signals become final trade style signals. Bullish signals are passed through the bullish cooldown array. Bearish signals are passed through the bearish cooldown array. That means buy and sell signals are filtered independently. A recent bullish signal only blocks another bullish signal, and a recent bearish signal only blocks another bearish signal. So the script maintains clean directional spacing for both sides. 12) Histogram Coloring Logic color histColor = currentVelocity > currentFilter ? color.new(colorUp, 20) : currentVelocity < -currentFilter ? color.new(colorDn, 20) : currentVelocity > 0 ? color.new(colorUp, 70) : color.new(colorDn, 70) This block assigns visual meaning to oscillator strength. If velocity is above the upper regular filter, the histogram uses a stronger bullish color. If velocity is below the lower regular filter, it uses a stronger bearish color. If velocity is still positive but inside the filter region, it uses a softer bullish color. If velocity is negative but inside the filter region, it uses a softer bearish color. So the color logic tells the user both direction and intensity at the same time. 13) Drawing the Filter Bands plot(currentFilter, "Upper Filter Band", color=color.new(colorDn, 40), linewidth=1, style=plot.style_line) plot(-currentFilter, "Lower Filter Band", color=color.new(colorUp, 40), linewidth=1, style=plot.style_line) plot(extremeBand, "Upper Extreme Band", color=color.new(colorDn, 60), linewidth=1, style=plot.style_line, display=sigMode == "Extreme Reversal" ? display.all : display.none) plot(-extremeBand, "Lower Extreme Band", color=color.new(colorUp, 60), linewidth=1, style=plot.style_line, display=sigMode == "Extreme Reversal" ? display.all : display.none) These plots create the visual threshold system. The regular upper and lower filter bands are always shown. The wider extreme bands are shown only when Extreme Reversal mode is selected. This makes it easy to see whether current velocity is operating inside the neutral zone, beyond the regular band, or at deeper stretch levels. 14) Filling the Neutral Filter Region p_upper = plot(currentFilter, display=display.none) p_lower = plot(-currentFilter, display=display.none) fill(p_upper, p_lower, color=color.new(colorNeu, 95), title="Filter Band Fill") This block shades the area between the upper and lower regular filter bands. The filled zone visually represents the neutral or lower conviction region. When velocity remains inside this zone, momentum is more muted relative to recent adaptive average behavior. So the fill acts as a quick background cue for whether velocity is still inside normal fluctuation territory. 15) Plotting Velocity as Histogram and Line plot(currentVelocity, "AMA Velocity", color=histColor, style=plot.style_columns) plot(currentVelocity, "Velocity Line", color=histColor, linewidth=2) The same velocity value is drawn in two forms. The column plot gives a strong histogram style momentum read. The line plot overlays the same data as a smoother continuous path. Using both together makes the oscillator easier to read because the columns highlight amplitude while the line emphasizes turning points and transitions. 16) Signal Label Placement if finalBullSignal label.new(x=bar_index, y=math.min(0, currentVelocity) - math.abs(sigMode == "Extreme Reversal" ? extremeBand : currentFilter) - (math.abs(currentFilter) * 1.5), text="▲ BUY", color=color.new(color.white, 100), textcolor=colorUp, style=label.style_none, size=size.small) if finalBearSignal label.new(x=bar_index, y=math.max(0, currentVelocity) + math.abs(sigMode == "Extreme Reversal" ? extremeBand : currentFilter) + (math.abs(currentFilter) * 1.5), text="SELL ▼", color=color.new(color.white, 100), textcolor=colorDn, style=label.style_none, size=size.small) These blocks place the signal labels outside the oscillator body rather than directly on top of the bars. For bullish signals, the label is positioned below the relevant lower threshold area. For bearish signals, the label is positioned above the relevant upper threshold area. This helps keep the chart readable and visually separates the signal from the oscillator itself. 17) Alert Conditions alertcondition(finalBullSignal, "Buy Signal", "AMA Velocity Buy Signal") alertcondition(finalBearSignal, "Sell Signal", "AMA Velocity Sell Signal") bool posTrend = ta.crossover(currentVelocity, 0) bool negTrend = ta.crossunder(currentVelocity, 0) alertcondition(posTrend, "Positive Trend", "AMA Velocity crossed above zero") alertcondition(negTrend, "Negative Trend", "AMA Velocity crossed below zero") The script provides four alert types. The first two alert on final buy and sell signals after all filters and cooldown checks are applied. The second two alert when velocity crosses the zero line, which can be interpreted as broader momentum regime shifts. So the indicator supports both reversal style event monitoring and general trend transition monitoring.
Pine Script® göstergesi
UAlgo tarafından
Liquidity Thermal Map [BigBeluga]🔵 OVERVIEW Liquidity Thermal Map visualizes where the highest traded volume has accumulated across price levels over a fixed lookback period. Instead of plotting classic volume profiles with bars, the indicator builds a horizontal thermal heatmap directly on the chart, highlighting areas of strong and weak liquidity using smooth color gradients. This makes it easy to identify high-interest price zones, volume clusters, and the dominant Point of Control (PoC) at a glance. 🔵 CONCEPTS Price-Level Volume Aggregation — The indicator divides the entire price range of the selected lookback period into fixed horizontal bins. Volume Binning — Each bin accumulates total traded volume whenever price closes near its midpoint. Thermal Gradient Mapping — Volume intensity is translated into a color gradient, forming a continuous liquidity heatmap. Point of Control (PoC) — The price level with the highest accumulated volume is highlighted using a distinct PoC color. 🔵 FEATURES Liquidity Heatmap — Displays horizontal volume concentration directly on the chart background. Fixed Resolution Bins — Uses 30 evenly spaced price levels to maintain a clean and readable structure. Adaptive Lookback Period — Volume is calculated only within the user-defined historical window. Two-Stage Color Gradient — • Low volume → transparent / muted tones • High volume → stronger, warmer colors PoC Highlighting — The most traded price level is emphasized with a dedicated PoC color and volume label. Range-Aware Scaling — Automatically adapts to the highest and lowest prices within the lookback period. 🔵 BUY / SELL LIQUIDITY SCALE Directional Liquidity Breakdown — The vertical scale on the right side summarizes how total traded volume is distributed between bullish and bearish candles within the analyzed range. Buy Liquidity (Green) — Represents the total traded volume during candles that closed higher than they opened. This approximates aggressive buying pressure and shows how much volume has accumulated below the current price. Sell Liquidity (Red) — Represents the total traded volume during candles that closed lower than they opened. This reflects periods where selling pressure dominated and shows how much volume accumulated above the current price. Liquidity Percentage — Each side displays the percentage share of total traded volume. This helps quickly identify which side of the market controlled the majority of activity within the lookback range. Volume Imbalance — The Imbalance value at the top shows the absolute difference between total buy and sell liquidity. A larger imbalance suggests stronger directional dominance from either buyers or sellers. Interactive Hover Details — Hovering over the liquidity bars reveals a tooltip showing the exact accumulated volume for that section (for example total liquidity below the current price). This allows traders to quickly inspect how much volume has been concentrated on each side of the market. Visual Pressure Gauge — The vertical red/green bar acts as a quick visual gauge of market pressure, allowing traders to instantly see whether buyers or sellers dominate liquidity within the selected range. PoC Highlighting — The most traded price level is emphasized with a dedicated PoC color and volume label. 🔵 HOW TO USE Identify Liquidity Clusters — Bright or dense zones indicate prices where significant trading activity occurred. Support & Resistance Context — High-volume zones often act as reaction areas for price. PoC Tracking — The PoC shows where the market spent the most time and volume. Breakout Awareness — Moves away from dense liquidity areas may signal expansion into lower-volume zones. Contextual Analysis — Use the heatmap as a background liquidity reference alongside trend or structure tools. 🔵 VISUAL LOGIC Cooler Colors — Lower volume participation. Warmer Colors — Higher volume concentration. PoC Label — Displays the exact volume value of the strongest liquidity level. 🔵 CONCLUSION Liquidity Thermal Map provides a clean, intuitive way to visualize where liquidity truly exists across price. By transforming raw volume data into a continuous thermal layer, it helps traders quickly locate dominant trading zones, identify high-interest price levels, and better understand how volume is distributed within the market.
Pine Script® göstergesi
BigBeluga tarafından
5
[blackcat] L2 Cyberpunk Value Trend Analyzer█ OVERVIEW The Cyberpunk Value Trend Analyzer is a sophisticated technical indicator that combines multiple analytical approaches to identify trend strength and potential trading opportunities. This indicator visualizes value momentum through a unique calculation method that incorporates price deviation, moving averages, and oscillators to provide clear buy/sell signals. █ CONCEPTS This indicator utilizes a proprietary algorithm that analyzes price deviation from moving averages, combines it with weighted calculations, and integrates oscillator-like readings to determine trend strength and direction. Key principles: • Value Trend calculation based on normalized price movements • Multi-timeframe analysis using weighted moving averages • Oscillator integration for overbought/oversold identification • Signal generation through level crossing detection █ HOW TO USE 1 — Add the indicator to your chart from the Indicators menu 2 — Adjust input parameters to suit your trading style (Entry Level, Exit Level, Colors) 3 — Monitor the Value Trend line and signals for trading opportunities Input Parameters • Entry Level: Sets the threshold for buy signals (default: 30) • Exit Level: Sets the threshold for sell signals (default: 75) • Value Trend Line: Color of the main trend line • Overbought Histogram: Color for overbought visualization • Buy Signal Histogram: Color for buy signal visualization • Entry/Exit Level Colors: Colors for the horizontal level lines • Show Status Table: Toggle for the information table display • Show Buy/Sell Labels: Toggle for signal labels on the chart █ SIGNALS Visual Elements • Value Trend Line (Cyan): Main indicator line showing trend momentum • Overbought Histogram (Magenta): Appears when value trend exceeds deviation index • Buy Signal Histogram (Pink): Vertical bars marking buy opportunities • Entry Level (Yellow): Dotted horizontal line for buy signal threshold • Exit Level (Cyan): Dotted horizontal line for sell signal threshold • Buy Labels (Green): "🚀 BUY" labels appear at buy signal points • Sell Labels (Red): "💰 SELL" labels appear at sell signal points Signal Interpretation • Buy Signal: Value Trend crosses above Entry Level or histogram appears • Sell Signal: Value Trend crosses below Exit Level • Overbought: Value Trend exceeds deviation index (magenta histogram) • Status Table: Real-time display of indicator values and current signal █ LIMITATIONS • Like all technical indicators, it works best in trending markets • May generate false signals during sideways or choppy market conditions • Performance varies across different timeframes and instruments • Should be used in conjunction with other analysis methods for confirmation █ NOTES • The indicator uses a cyberpunk-inspired color scheme for visual appeal • All calculations are based on proprietary weighted moving average formulas • The status table provides real-time values for multiple internal calculations • Alerts can be set for buy/sell signals and overbought/oversold conditions ═════════════════════════════════════════════════════════════════════════ For questions or feedback, use comments section below.
Pine Script® göstergesi
blackcat1402 tarafından
Viprasol Volume Weighted Trend Engine## Overview The Volume Weighted Trend Engine uses a Volume Weighted Moving Average (VWMA) as a central trend baseline with ATR-based volatility bands that expand and contract dynamically. When price closes above the upper band the trend turns bullish; below the lower band it turns bearish. The indicator holds the last confirmed direction until the opposite band is breached, keeping signals clean and avoiding constant flip-flopping. Built for traders who want volume-aware trend detection with squeeze identification and configurable signal filtering. ## What Is Original (Viprasol Additions) This is an original Viprasol indicator. The following features were added in this enhanced version: 1. **Signal Cooldown** — A configurable minimum bar gap (default 0 = off) between consecutive signals. Prevents rapid-fire noise in choppy or ranging markets while allowing the core band-breach logic to remain responsive. 2. **Volume Confirmation Filter** — When enabled, signals only fire if current volume exceeds the 20-bar simple moving average. This filters out low-conviction band breaches that occur on thin volume, which are more likely to fail. 3. **Trend Strength Meter** — Calculates where price sits within the bands as a percentage (-100 to +100). At the VWMA = 0%, at the upper band = +100%, at the lower band = -100%. Displayed in the dashboard and optionally as a background tint that intensifies as price moves further from the VWMA. 4. **ATR Squeeze Detection** — Measures band width as a percentage of the VWMA, then compares it to its own 50-bar SMA. When band width falls below the SMA multiplied by a threshold factor (default 0.8), a squeeze is flagged. Diamond markers appear on the VWMA line during squeeze periods. Squeezes indicate periods of compression that often precede strong directional moves. 5. **Info Dashboard** — An 8-row real-time table showing: trend direction, trend strength percentage, VWMA value, ATR value, band width percentage, squeeze status, and volume status. Configurable position (4 locations) and font size (4 sizes). 6. **5 Additional Alert Conditions** — Squeeze started, volume-confirmed bullish/bearish signals, trend strength extreme (>90%), and band touch alerts. Total: 8 alert conditions (up from 3). 7. **Tooltips on All Inputs** — Every input parameter (15+) has a descriptive tooltip explaining its function and effect on behavior. 8. **Organized Input Groups** — Inputs organized into 4 clear groups: Core Settings, Signal Filters, Visual Settings, and Dashboard. ## How It Works **VWMA Baseline:** A Volume Weighted Moving Average of the configured source (default: close) over the specified period (default: 34). Unlike a regular SMA, VWMA gives more weight to bars with higher volume, making the baseline naturally responsive to institutional activity. **ATR Volatility Bands:** The Average True Range over the same period is multiplied by a configurable factor (default: 1.5) and added/subtracted from the VWMA to create dynamic upper and lower bands. The bands widen during volatile conditions and narrow during compression. **Trend Detection:** When price closes above the upper band, the trend flips to bullish. When price closes below the lower band, it flips to bearish. The direction is held (latched) until the opposite band is breached. This prevents the constant signal noise that occurs when price oscillates near a single moving average. **Glow Effect:** Three overlapping plots of the VWMA at decreasing opacity create a soft glow behind the main line, providing enhanced visual clarity of the trend direction. ## Key Features - Volume Weighted Moving Average (VWMA) baseline with dynamic ATR bands - Latching trend detection — direction holds until opposite band is breached - Signal cooldown to prevent noise in choppy markets - Optional volume confirmation filter for higher-quality signals - Trend strength meter (-100% to +100%) with optional background gradient - ATR squeeze detection with diamond markers - Glow effect on VWMA line (3-layer opacity stack) - Gradient band fills (inner and outer zones) - Candlestick bar coloring by trend direction - Signal labels with entry price - 8-row info dashboard with trend, strength, VWMA, ATR, band width, squeeze, volume - 8 alert conditions with dynamic messages - All visual elements individually toggleable - Custom bullish and bearish colors ## How to Use **Reading the Chart:** - **VWMA line** (solid, colored) shows the volume-weighted trend center - **Bands** show volatility envelope — price between bands = no new signal - **Glow color** indicates current trend direction at a glance - **Diamond markers** on the VWMA flag squeeze periods (potential breakout setup) - **Triangle signals** mark confirmed trend changes **Trading Ideas:** - Enter on trend change signals, especially those confirmed by above-average volume - Use squeeze periods to prepare for directional moves — the first band breach after a squeeze often produces strong trends - Trend strength > 70% suggests extended price action — consider taking profits or tightening stops - Use the VWMA as dynamic support (bull) or resistance (bear) for trailing stops **Recommended Settings:** - Scalping (1m-5m): VWMA 21, ATR Mult 1.2, Cooldown 3 - Day Trading (15m-1H): VWMA 34, ATR Mult 1.5, Cooldown 0 - Swing (4H-1D): VWMA 55, ATR Mult 2.0, Cooldown 0 ## Settings | Group | Description | |---|---| | Core Settings | VWMA period, ATR multiplier, price source | | Signal Filters | Signal cooldown bars, volume confirmation toggle, squeeze threshold | | Visual Settings | Bull/bear colors, band fills, glow effect, bar coloring, signal labels, trend strength background | | Dashboard | Show/hide, position (4 options), font size (4 options) | ## Alerts 1. **Bullish Signal** — Trend flipped bullish (price closed above upper band) 2. **Bearish Signal** — Trend flipped bearish (price closed below lower band) 3. **Trend Change** — Any trend direction change 4. **Squeeze Started** — Band width dropped below compression threshold 5. **Volume Confirmed Bull** — Bullish signal with above-average volume 6. **Volume Confirmed Bear** — Bearish signal with above-average volume 7. **Trend Strength Extreme** — Trend strength exceeded 90% in either direction 8. **Band Touch** — Price touched or exceeded a band boundary All alerts include {{ticker}}, {{close}}, and {{interval}} for dynamic notification messages. ## Limitations & Disclaimer - VWMA requires volume data — on instruments without real volume (some forex pairs), the indicator will use tick volume which may behave differently. - The latching trend mechanism means signals are inherently late — the trend only changes after a confirmed band breach, not at the start of a move. - Squeeze detection identifies compression but does not predict breakout direction. - Trend strength is normalized to the current band width — during very narrow bands, small price moves can cause large strength readings. - Signal cooldown and volume filter are independent — both must pass for a signal to fire when both are configured. - This indicator is for educational and analytical purposes only — it is not financial advice. Always use proper risk management. ## Credits & Attribution Original concept and implementation by Viprasol. Enhanced with signal filtering, squeeze detection, trend strength meter, dashboard, and expanded alert system.
Pine Script® göstergesi
viprasol tarafından
Weekly Initial BalanceThis indicator marks the Weekly Initial Balance — the price range established during the first two trading days of the week — and projects extension levels for the remainder of the week. The idea behind it Monday sets the opening range for the week. Tuesday may extend that range — it could produce a false break, a range extension, a reversal, or an inside day. In a large majority of weeks, by the time Monday and Tuesday have traded, the high and low extremes are already in place for the rest of the week. One of these extremes will tend to hold, while the other may get broken. The default window (Sunday 18:00 – Tuesday 16:00 New York time) captures exactly this: the full Monday session plus Tuesday's contribution. Once the IB window closes, the remaining days of the week tend to trade in relation to these established levels. What makes this different Most Initial Balance indicators focus on the first 30 or 60 minutes of a single session. This indicator applies the IB concept to the weekly timeframe — capturing the Mon-Tue range that statistically defines the week's extremes. The configurable window, range extension multipliers, and clean label handling (current week only) make it a practical tool rather than a theoretical overlay. How it works - A shaded box marks the IB range (high and low) as it forms during the configured window - After the window closes, the IB high, low, and 50% midpoint extend as horizontal reference levels - Configurable range extensions (default 0.5x and 1.0x of the IB range) project above and below as potential targets - Price labels display the exact level at each line (current week only — historical weeks show clean lines without clutter) How to use it - **Which side holds?** After the IB window closes, one extreme tends to hold for the week while the other gets broken — watch for which side price tests and rejects first - **Range extensions as targets:** When the IB high or low breaks, the 0.5x and 1.0x extensions provide measured-move targets - **Inside weeks:** If price stays within the IB range through Friday, the 50% midpoint often acts as a magnet - **Volatility read:** A wide Monday–Tuesday range suggests the week's extremes may already be set; a narrow range suggests expansion is still ahead - **Alerts:** Built-in alerts fire when price breaks the IB high or low after the window closes Settings - Fully configurable start/end day, hour, and minute (New York time) - Adjustable number of historical weeks to display - Configurable extension multipliers (not limited to 0.5x and 1.0x) - Toggle individual levels, labels, and extensions on/off - Works on any instrument with sufficient intraweek data (futures, forex, crypto) Recommended timeframes: 30min and 1H charts for best visual clarity. Intraday only — the indicator requires sufficient chart history to display the configured number of weeks.
Pine Script® göstergesi
const tarafından
1
ICT Concepts [UAlgo]ICT Concepts is a broad market structure toolkit that combines several core ICT style elements inside a single script. Instead of focusing on only one concept, the indicator brings together order blocks, market structure shifts, SMT divergence, fair value gaps, balanced price ranges, consequent encroachment, liquidity sweeps, Fibonacci levels, and killzones in one integrated overlay. The script is designed for traders who want a consolidated structure map rather than a collection of separate indicators. It tracks swing highs and lows, labels structural breaks as BOS or MSS, detects order blocks from a strict candle pattern, identifies imbalances through fair value gap logic, monitors liquidity sweeps around recent pivot levels, and draws structure anchored Fibonacci levels from the latest confirmed break. It can also compare the active chart against a second symbol for SMT divergence and even render a small comparison panel directly on the chart. One of the strongest qualities of this script is that each module is state aware. Order blocks extend until mitigation. Fair value gaps extend until price trades through them. Structure anchors update after new breaks. Killzones persist historically for a defined number of sessions. SMT events are stored, labeled, and optionally projected inside a mini comparison panel. This makes the script much more than a simple set of static drawings. It behaves like a live structural framework that evolves with price. From a workflow point of view, the indicator is especially useful for traders who want to read context in layers. Structure tells whether price is breaking with trend or shifting against it. Order blocks and imbalances show where inefficiency or sponsorship may remain. Liquidity sweeps show where recent resting liquidity has likely been taken. Fibonacci levels frame premium, discount, equilibrium, and OTE areas relative to the latest structural move. Killzones add time based session context. Together, these components create a broad market map for discretionary analysis. 🔹 Features 🔸 Single Candle Order Block Detection The script detects bullish and bearish order blocks using a strict three candle displacement pattern. When a valid setup appears, the order block is stored, extended forward, and removed only after mitigation. Optional mean threshold lines can also be shown inside each block. 🔸 Multi Timeframe Order Blocks Order block detection can run on a selected timeframe through request.security . This allows higher timeframe order blocks to be projected onto the current execution chart. 🔸 Market Structure Mapping The indicator tracks pivot highs and lows and labels confirmed structural breaks as BOS or MSS. A continuation break is labeled BOS, while a directional reversal break is labeled MSS. This gives the chart a clear structure narrative. 🔸 SMT Divergence Detection The script can compare the active chart against a second symbol and detect SMT divergence using pivot highs and lows from both instruments. Divergences are labeled directly on the main chart and can also be reflected inside a mini comparison panel. 🔸 Fair Value Gaps Bullish and bearish fair value gaps are detected through a classic three candle gap condition. These imbalances are stored, extended, and removed once mitigated. 🔸 Balanced Price Range Support When a new fair value gap overlaps with an opposite side historical fair value gap, the overlapping section becomes a balanced price range. This gives the script the ability to detect conflict zones formed by opposing inefficiencies. 🔸 Consequent Encroachment Mode The imbalance module can also be displayed in consequent encroachment mode, where the midpoint of the gap is shown along with the premium or discount half of the imbalance. 🔸 Liquidity Sweep Detection The indicator monitors recent pivot highs and lows and marks when price trades beyond one of those levels but closes back through it. This makes it easy to spot local buy side and sell side sweeps. 🔸 Structure Anchored Fibonacci Levels After a confirmed structural break, the script anchors Fibonacci levels between the break extreme and the opposing structural point. Equilibrium, OTE, and optional extra levels are then projected forward. 🔸 Killzone Rendering The script can mark Asian, London, New York AM, and New York PM session windows using session boxes and optional session range lines. Historical session boxes are kept for a user defined number of prior occurrences. 🔸 Active Object Management Each subsystem uses its own storage and cleanup logic. Order blocks, imbalances, SMT markers, liquidity sweep boxes, Fibonacci objects, and killzones are all managed so the chart remains usable over time. 🔸 Alerts Alert conditions are included for bullish and bearish order block detection. 🔹 Calculations 1) Order Block Pattern Logic detectLogic() => bool isBull = open > close and close > open and close > open and low < low and close > high bool isBear = open < close and close < open and close < open and high > high and close < low [isBull, high , low , time , isBear, high , low , time ] This is the core order block detector. A bullish order block requires: a bearish candle at 2 , a bullish candle at 1 , a bullish current candle, a sweep below the low of candle 2 by candle 1 , and a close above the high of candle 1 . A bearish order block uses the exact inverse. The returned zone bounds come from candle 1 , which becomes the order block candle. That is why the function returns high , low , and time . So the script is not marking every displacement candle. It is looking for a very specific three candle formation. 2) Multi Timeframe Order Block Projection = request.security(syminfo.tickerid, i_tf, detectLogic()) This line runs the order block detection logic on the selected timeframe. If the user chooses a higher timeframe, the resulting order block values are projected onto the current chart. This is extremely useful for mapping higher timeframe sponsorship zones onto a lower timeframe execution environment. So the detection can stay structurally higher while the display remains on the user’s active chart. 3) Preventing Overlapping Order Blocks method hasOverlap(array OBs, float top, float bottom) => bool overlap = false if OBs.size() > 0 for i = 0 to OBs.size() - 1 OB item = OBs.get(i) if (top < item.top and top > item.bottom) or (bottom > item.bottom and bottom < item.top) overlap := true break overlap Before a new order block is added, the script checks whether it overlaps an existing stored block of the same side. If the proposed top or bottom falls inside an existing block, the new one is ignored. This reduces clutter and helps avoid stacking multiple highly similar zones in the same area. So the order block engine is selective not only in detection, but also in object creation. 4) Order Block Mitigation and Active Limit Handling method isMitigated(OB this, float currentClose) => this.isBull ? (currentClose < this.bottom) : (currentClose > this.top) if drawCount < OB_ACTIVE_LIMIT if na(item.id) item.draw(i_bullColor, "Bull OB", i_showMidLine) item.extend() drawCount += 1 else item.remove() An order block remains valid until price closes beyond its invalidation boundary. For bullish order blocks, mitigation happens when close moves below the block bottom. For bearish order blocks, mitigation happens when close moves above the block top. The script also limits how many active blocks are actually drawn. Older stored blocks may remain in memory, but only the most recent valid ones stay visible. This keeps the chart clean while preserving logic continuity. 5) Market Structure Pivot Tracking float ph = ta.pivothigh(i_structLen, i_structLen) float pl = ta.pivotlow(i_structLen, i_structLen) if not na(ph) prevHigh := lastHigh prevHighIndex := lastHighIndex lastHigh := ph lastHighIndex := bar_index if not na(pl) prevLow := lastLow prevLowIndex := lastLowIndex lastLow := pl lastLowIndex := bar_index This is the base structure engine. The script identifies confirmed pivot highs and lows using the selected pivot length. When a new pivot is confirmed, the prior stored high or low becomes prevHigh or prevLow , and the newest one becomes lastHigh or lastLow . This means the indicator always keeps a rolling memory of the latest structural extremes, which later become the reference levels for BOS, MSS, liquidity sweeps, and Fibonacci anchoring. 6) BOS and MSS Logic bool brokenHigh = ta.crossover(close, lastHigh) bool brokenLow = ta.crossunder(close, lastLow) if brokenHigh and not na(lastHigh) and not lastHighBroken if not trendInitialized or trendIsBullish drawStructure(lastHighIndex, lastHigh, bar_index, lastHigh, "BOS", i_structBull, "solid") else drawStructure(lastHighIndex, lastHigh, bar_index, lastHigh, "MSS", i_structBull, "dashed") if brokenLow and not na(lastLow) and not lastLowBroken if not trendInitialized or not trendIsBullish drawStructure(lastLowIndex, lastLow, bar_index, lastLow, "BOS", i_structBear, "solid") else drawStructure(lastLowIndex, lastLow, bar_index, lastLow, "MSS", i_structBear, "dashed") This is how the script classifies structure. If close breaks above the last confirmed high, price has broken bullish structure. If close breaks below the last confirmed low, price has broken bearish structure. The label depends on prior trend state. If the break happens in the same directional regime, it is labeled BOS. If the break happens against the prior regime, it is labeled MSS. So BOS means continuation of prevailing structure, while MSS means a shift in directional character. 7) SMT Divergence Detection float smtPhA = i_smtOn ? ta.pivothigh(high, i_smtLen, i_smtLen) : na float smtPlA = i_smtOn ? ta.pivotlow(low, i_smtLen, i_smtLen) : na float smtPhB = i_smtOn ? request.security(i_smtSymbol, timeframe.period, ta.pivothigh(high, i_smtLen, i_smtLen)) : na float smtPlB = i_smtOn ? request.security(i_smtSymbol, timeframe.period, ta.pivotlow(low, i_smtLen, i_smtLen)) : na This block builds pivot data for both the main symbol and the comparison symbol. The idea of SMT is relative disagreement. If one market makes a stronger high while the other fails to confirm it, or one market makes a lower low while the other refuses to follow, divergence may be present. The script therefore tracks pivot highs and lows separately for both instruments. 8) Bearish and Bullish SMT Conditions bool bearishSmt = not na(smtAHighPrev) and not na(smtBHighPrev) and (smtAHighLast > smtAHighPrev) and (smtBHighLast <= smtBHighPrev) bool bullishSmt = not na(smtALowPrev) and not na(smtBLowPrev) and (smtALowLast < smtALowPrev) and (smtBLowLast >= smtBLowPrev) These are the actual divergence tests. Bearish SMT occurs when the active chart makes a higher high while the comparison symbol fails to do so. Bullish SMT occurs when the active chart makes a lower low while the comparison symbol fails to confirm that weakness. So the script is looking for asymmetry between related instruments, which is one of the classic uses of SMT analysis. 9) Mini Panel Rendering for SMT = request.security(i_smtSymbol, timeframe.period, ) drawMiniCandle(startX + (lookback - 1 - i), o, h, l, c, smtMin, smtRange, baseY, targetHeight, i_smtBull, i_smtBear, isBear, isBull) The mini panel is built by requesting OHLC data for the comparison symbol, then compressing it into a custom candle panel drawn on the right side of the chart. Each mini candle is scaled into panel coordinates using the comparison symbol’s own high and low range. SMT event bars are then marked inside that mini chart. So the panel is not decorative only. It provides a quick structural view of the comparison symbol directly beside the main chart. 10) Fair Value Gap Detection bool fvgBullDetected = low > high bool fvgBearDetected = high < low These are the fair value gap rules. A bullish fair value gap exists when the current low is above the high from two bars ago. A bearish fair value gap exists when the current high is below the low from two bars ago. This is the classic three candle inefficiency model. The gap zone is then stored as an FVG object and extended forward until mitigation. 11) Balanced Price Range Logic bool hasOverlap = fTop > existing.bottom and fBot < existing.top if hasOverlap float bprTop = math.min(fTop, existing.top) float bprBot = math.max(fBot, existing.bottom) When a newly detected fair value gap overlaps an opposite side historical fair value gap, the overlapping area becomes a balanced price range. This is important because BPR is not detected as an isolated standalone pattern. It is formed from the intersection of opposing inefficiencies. The script extracts only the common overlapping region and stores it as a new BPR object. So BPR here is derived from actual imbalance conflict. 12) Consequent Encroachment Logic float ceLevel = (this.top + this.bottom) / 2 float boxTop = this.isBull ? ceLevel : this.top float boxBot = this.isBull ? this.bottom : ceLevel Consequent encroachment is the midpoint of the fair value gap. The script calculates the midpoint and, when CE mode is enabled, draws both a dashed midpoint line and a half gap box. For bullish gaps it emphasizes the lower half up to midpoint. For bearish gaps it emphasizes the upper half down to midpoint. So CE mode gives the user a more precise internal level inside the wider imbalance. 13) Fair Value Gap Mitigation method isMitigated(FVG this, float currentHigh, float currentLow) => this.isBull ? (currentLow < this.bottom) : (currentHigh > this.top) A bullish fair value gap is mitigated when price trades below its bottom. A bearish fair value gap is mitigated when price trades above its top. Once mitigation happens, the object is removed. This keeps the imbalance display focused on still relevant inefficiencies. 14) Liquidity Sweep Detection float liqPh = ta.pivothigh(LIQ_PIVOT_LEN, 1) float liqPl = ta.pivotlow(LIQ_PIVOT_LEN, 1) bool sweepBull = i_showLiq and not na(liqLastLow) and not liqLastLowSwept and low < liqLastLow and close > liqLastLow bool sweepBear = i_showLiq and not na(liqLastHigh) and not liqLastHighSwept and high > liqLastHigh and close < liqLastHigh This module watches recent pivot highs and lows for sweep behavior. A bullish liquidity sweep occurs when price trades below the most recent sell side liquidity level but closes back above it. A bearish liquidity sweep occurs when price trades above the most recent buy side liquidity level but closes back below it. This is a clean wick through and reclaim style sweep model. 15) Liquidity Sweep Box Construction if sweepBull line bullSweepLine = line.new(liqLastLowIndex, liqLastLow, bar_index, liqLastLow, color = i_liqSellsideCol, style = line.style_solid) box bullSweepBox = liqNewSweepBox(liqLastLow, low, i_liqSellsideCol) if sweepBear line bearSweepLine = line.new(liqLastHighIndex, liqLastHigh, bar_index, liqLastHigh, color = i_liqBuysideCol, style = line.style_solid) box bearSweepBox = liqNewSweepBox(high, liqLastHigh, i_liqBuysideCol) When a sweep occurs, the script draws two things: a line showing the swept liquidity level, and a box covering the swept excursion beyond that level. This makes the sweep visually clear by showing both the reference price and the actual penetration area. 16) Fibonacci Anchoring From Latest Structure Break bool fibCanDraw = i_showFib and lastStructBreakDir != 0 and not na(lastStructBreakIndex) and not na(lastStructBreakExtreme) and not na(lastStructOppPrice) and not na(lastStructOppIndex) and lastStructOppIndex != 0 The Fibonacci engine only draws when a valid structural break context exists. The anchor requires: a known break direction, the latest break index, the break extreme, the opposing structural price, and the opposing structural index. So Fibonacci is not anchored arbitrarily. It is tied directly to the latest confirmed structural move. 17) Fibonacci Level Calculation float a0 = lastStructBreakExtreme float a1 = lastStructOppPrice float r = a1 - a0 float p0 = a0 + r * 0.0 float p1 = a0 + r * 1.0 float pEq = a0 + r * i_fibEqLevel float pOteLow = a0 + r * i_fibOteLow float pOteMid = a0 + r * i_fibOteMid float pOteHigh = a0 + r * i_fibOteHigh This is the actual Fibonacci math. The script defines the range between the break extreme and the opposing structural point, then calculates all Fibonacci levels as proportions of that range. That includes: the zero level, the one level, equilibrium, the OTE low, the OTE midpoint, and the OTE high. Optional extra levels can also be added in the same way. So the Fibonacci framework always adapts to the latest structural swing rather than staying fixed to older price action. 18) Killzone Session Detection string kzTz = "UTC-5" kzInSession(string sess) => not na(time(timeframe.period, sess, kzTz)) bool inAsian = kzInSession("2000-0000") bool inLondon = kzInSession("0200-0500") bool inNY = kzInSession("0830-1100") bool inLondonC = kzInSession("1330-1600") Killzones are detected through session time windows defined in UTC 5. Each session is converted into a boolean state that says whether the current bar falls inside that time window. This becomes the input for the killzone renderer. So session marking is time based rather than manually positioned. 19) Killzone Box and Range Update Logic if isActive if not wasActive or na(sBox) sBox := box.new(left = time, top = high, right = time, bottom = low, xloc = xloc.bar_time, bgcolor = baseCol, border_color = color(na), border_width = 0, text = boxTxt, text_color = tC, text_size = size.tiny, text_halign = text.align_left, text_valign = text.align_top) float prevTop = box.get_top(sBox) float prevBot = box.get_bottom(sBox) float newTop = math.max(prevTop, high) float newBot = math.min(prevBot, low) box.set_top(sBox, newTop) box.set_bottom(sBox, newBot) box.set_right(sBox, time) When a killzone begins, the script creates a new box using the current bar’s range. As the session continues, it keeps updating the top and bottom to reflect the highest high and lowest low made during that session. So each killzone box becomes both a time marker and a session range marker.
Pine Script® göstergesi
UAlgo tarafından
1
Fibonacci Order Blocks [yigdeli]Fibonacci Order Blocks Overview Fibonacci Order Blocks is a rule-based structural analysis and visualization tool that combines pivot-based Fibonacci mapping with volume-distributed support and resistance zones. The Fibonacci foundation used in this script was built on auto Fibonacci correction techniques available on TradingView. Thanks to the original technical groundwork and to the TradingView Pine community for the structural ideas that helped shape this project. On top of that base, this script extends the framework with Fibonacci zone boxes, internal buy/sell volume split, right-side information boxes, and support/resistance order block visualization. This script is designed for structural chart analysis and visual interpretation. It does not predict future price direction. It does not provide standalone entry or exit signals. It does not provide investment advice. Fibonacci Structure The script automatically builds a Fibonacci leg between the latest confirmed structural pivots. Each enabled Fibonacci level can display: the Fibonacci line itself a local main zone box a buy-side sub-box a sell-side sub-box This makes each level readable as a price zone rather than as a line only. Image 1 — Fibonacci Lines Shows the pivot-based Fibonacci structure used as the main framework of the script. Image 2 — Fibonacci Level Boxes Shows the Fibonacci main boxes and the internal buy/sell sub-boxes for enabled levels. Fibonacci Information Boxes Each Fibonacci zone can also display separate right-side information boxes. These boxes are used to show: total volume for the zone Fibonacci level value exact price value They are separated from the main Fibonacci box to improve readability and make the chart easier to interpret visually. Image 3 — Fibonacci Info Boxes Shows the separate total-volume box and the level/price information boxes displayed to the right of Fibonacci zones. Support and Resistance Zones The indicator also builds structural support and resistance zones using the active chart context and lookback settings. Each zone includes: a main support or resistance box total zone volume displayed on the main box internal buy and sell sub-boxes These zones are intended to help visualize how localized volume is distributed inside broader structural areas. Image 4 — Support and Resistance Zones Shows the main support and resistance block structure. Internal Buy / Sell Volume Split Both Fibonacci zones and support/resistance zones use internal buy/sell volume distribution logic. This volume split is derived from historical chart data and internal overlap calculations. It is a chart-based analytical representation, not exchange-native bid/ask data and not a direct order book feed. The purpose of the split is to provide visual context about how volume is distributed inside each displayed zone. Image 5 — Support / Resistance Buy-Sell Split Shows the complete box-based layout of the script, including Fibonacci zone boxes, buy/sell sub-boxes, right-side information boxes, and support/resistance volume blocks. Customization The script includes adjustable settings for: pivot detection behavior Fibonacci direction and extension visible Fibonacci levels line style and colors support/resistance colors volume box widths right-side info box widths support/resistance lookback behavior This allows users to adapt the visualization to different chart layouts and analysis preferences. What This Script Does Not Do It does not forecast future price levels It does not guarantee reversals or continuations It does not generate standalone trading signals It does not provide broker, exchange, or true order book execution data It does not provide financial advice or trading recommendations Notes All calculations are derived from chart data, user-defined settings, and rule-based internal logic. This script should be used as a structural and visual analysis tool. It is intended to help users study price structure, Fibonacci mapping, and localized volume behavior inside predefined zones.
Pine Script® göstergesi
yigdeli tarafından
1
MACD Multi-Timeframe Divergence Master"Is the trend exhausted? Let the data speak." The MACD Multi-Timeframe Divergence Master is a high-performance momentum analysis tool designed for professional traders. It goes beyond standard MACD by integrating an automated Divergence Detection Engine with a real-time Multi-Timeframe (MTF) Dashboard. Divergence occurs when price action and momentum are no longer in sync, often serving as a "leading indicator" for potential trend reversals. By monitoring 5 critical timeframes (Weekly to 45m) simultaneously, this tool helps traders identify Momentum Resonance—where short-term reversals are backed by long-term structural shifts. “趋势是否已成强弩之末？用数据穿透迷雾。” MACD 多周期背离监控大师 是一款专为专业交易者打造的高性能动能分析工具。它在传统 MACD 的基础上，集成了自动化的背离识别引擎与实战级的多周期 (MTF) 实时看板。 背离发生在价格走势与动能不再同步之时，通常是趋势反转的“领先指标”。通过同时监控从周线到 45 分钟线的 5 个核心周期，本工具能帮助交易者精准捕捉“动能共振”点——即短线反转信号在大周期结构背景下的二次确认。 🛠️ 核心功能 (Key Features) Dual-Language Interface (Bilingual) | 中英双语界面: One-click switch between English and Chinese for all chart labels and the dashboard. 一键切换中英文显示，包括图表标签、看板及设置面板。 Pivot-Based Divergence Logic | 枢轴点背离逻辑: Uses advanced pivot detection (ta.pivothigh/low) to identify structural peaks and troughs. 利用高级枢轴检测识别结构性高低点，确保背离信号的客观性。 Real-Time MTF Dashboard | 实时多周期看板: Monitor Weekly, Daily, 4H, 1H, and 45m divergence status in a single table. 在单个表格中实时监控周线、日线、4小时、1小时及 45 分钟的背离状态。 Signal Resonance Identification | 信号共振识别: Visualize Bullish (Green) and Bearish (Red) signals directly on the chart with precise offsets. 在主图上直观展示底背离（绿色）与顶背离（红色）信号，并自动修正显示偏移。 📈 实战指南 (Trading Guide) Bullish Resonance (Bottoming) | 多头共振 (抄底): Look for a Bullish Divergence label on the 1H/4H chart while the Daily/Weekly status in the dashboard also shows "Bullish Div." 当 1H/4H 周期出现“底背离”标签，且看板中的日线/周线也处于“底背离”状态时，为极高胜率买点。 Bearish Exhaustion (Topping) | 空头竭尽 (逃顶): If price hits a key resistance level and a Bearish Divergence appears across multiple timeframes, it indicates high-risk momentum exhaustion. 若价格触及关键阻力位，且多个周期同时出现“顶背离”，预示动能枯竭，需防范大幅回调。 ⚠️ 免责声明 (Disclaimer) Financial trading involves significant risk. This indicator is for educational and analytical purposes only and does not constitute financial advice. 金融交易存在重大风险。本指标仅供教育与分析参考，不构成任何投资建议。 🚀 关注与互动 | Connect & Follow 如果你觉得这个脚本对你有帮助，请不要吝啬你的点赞（Boost）和收藏！你的支持是我持续更新与开源的动力。 💬 交流讨论： 欢迎在评论区留下你的使用反馈或优化建议，我会定期回复。 🔔 持续更新： 点击我的头像并点击 "Follow"，第一时间获取我发布的最新策略、脚本以及 A 股市场深度技术分析报告。 📁 更多脚本： 访问我的个人主页，查看我发布的其他高级指标
Pine Script® göstergesi
william_wq tarafından
1