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Indikatoren und Strategien

Hap Elliot [Dual Engine & Projections]Hap Elliot Are you tired of subjective wave counts? Elliott Wave Theory (EWT) is one of the most powerful concepts in technical analysis, but mapping it manually is subjective, time-consuming, and prone to human error. Meet the Hap Elliot indicator—your streamlined, highly effective "magic pill" for Elliott Wave Analysis. We have transformed the complex guidelines of EWT into a strict, easy-to-digest mathematical algorithm. Featuring a unique Dual Engine Pivot System and Nested Sub-Waves, this script doesn't just draw past waves—it projects future targets in real-time. KEY FEATURES & HOW IT WORKS: 1. Dual Pivot Engine (Choose Your Style): ATR Distance Mode (Fast): Perfect for day traders. Detects pivots early based on volatility (ATR). Aggressive, but can be noisy on sharp wicks. Fractal Confirmed Mode (Reliable): Waits for candle closes and fractal formations. Slower, but mathematically filters out market noise. Ideal for swing trading. 2. Strict EWT Guideline Enforcement: Unlike basic zigzag indicators, Hap Elliot enforces EWT rules before validating a wave: Wave 3 cannot be the shortest wave. Enforces the "Rule of Alternation" between Wave 2 and Wave 4 (if W2 is deep, W4 must be shallow, etc.). 3. Macro & Micro Waves (Nested Structure): The indicator scans two different time horizons simultaneously. You will see the Macro Wave (Major Trend) and the Micro Wave (Sub-waves inside the main trend) seamlessly overlaid. 4. Automated Fibonacci Projections & Reversal Boxes: When a 1-2 wave sequence is detected, the algorithm immediately projects: Wave 3 Targets: 1.0, 1.618, 2.618, and up to 3.618 (Super Extension). Wave 4 Pullback Zones: Shallow (0.236) to Deep (0.5). Wave 5 Reversal Box: Automatically draws a highlighted "Correction/Reversal Box" when the 5-wave cycle completes. 5. Real-Time Status Dashboard: A sleek UI panel at the bottom right shows the current status of both Macro and Micro trends (e.g., "Bullish Expected", "Waiting for Box", "Perfect 5-Waves Done"). ⚠️ IMPORTANT NOTE ON REPAINTING: By its very nature, Elliott Wave Theory is dynamic. A Wave 3 can always extend into a "Super Extension." Therefore, as live price action develops, the algorithm will dynamically update the wave anchors and target projections. This is not a bug; it is the correct mathematical behavior of EWT. 💡 HOW TO USE: Watch for a "Valid" status on the dashboard indicating a 1-2 sequence. Use the projected Wave 3 (1.618) as your primary trend target. When price enters the Wave 5 Reversal Box, expect an (A)(B)(C) correction and consider taking profits. If you find this tool helpful, please leave a BOOST and share your feedback in the comments!
Pine Script® Indikator
von agahakanaga
10
Institutional Displacement & Volume Delta [Bigbeluga]🔵 OVERVIEW Institutional Displacement & Volume Delta is an advanced price action tool designed to identify high-conviction market moves, often referred to as "Displacement." It filters out market noise by highlighting candles that exhibit both significant price expansion and institutional-level volume. By utilizing lower timeframe (LTF) data, the indicator deconstructs each displacement candle to reveal the internal "Buy vs. Sell" volume balance, allowing traders to see the true intent behind aggressive market shifts. 🔵 CONCEPT Institutional Displacement — Identifies "Power Candles" that have a large body relative to their wicks, signaling a one-sided move by major market participants. Volume Spike Filtering — Only qualifies a move as a "Shift" if the volume significantly exceeds a user-defined moving average. Intrabar Volume Deconstruction — Uses a secondary, lower timeframe (e.g., 1m) to calculate exactly how much of a candle's total volume was dedicated to buying versus selling. Internal Volume Blocks — Visually splits the body of displacement candles into color-coded sections (Buy Block and Sell Block) based on the internal delta ratio. Market State Muting — Optionally mutes the color of "choppy" or low-volume bars to keep the focus purely on high-probability institutional activity. 🔵 HOW IT WORKS (IN-DEPTH) 1️⃣ Qualification of Displacement The script first evaluates the "Body-to-Range" ratio. A candle must be mostly "body" (minimal wicks) to prove that the price didn't face significant rejection. It then checks the Volume Multiplier. The volume must be X times higher than the 20-period average to confirm institutional "heavy lifting." If both conditions are met, the bar is labeled a "Bullish Shift" or "Bearish Shift." 2️⃣ Lower Timeframe (LTF) Volume Analysis Standard candles only show total volume. This indicator uses request.security_lower_tf to peak inside the bar. It sums up every 1-minute (or user-defined) sub-candle to categorize volume as "Buy" or "Sell" based on the sub-candle's closing direction. This calculation provides the Delta —the net difference between aggressive buyers and sellers. 3️⃣ Visual Representation The main candle body is hollowed out, and a "Volume Block" is inserted inside. The split point of the inner block represents the ratio of Buy vs. Sell volume. If a Bullish Displacement bar has a large Red inner block at the top, it may signal that sellers were heavily defending that area despite the bullish close. Floating labels provide immediate access to the exact Volume and Delta figures. 🔵 KEY FEATURES Precise Shift Identification: Combines price expansion (Displacement) with volume spikes. Internal Delta Blocks: Unique visual deconstruction of candle volume ratios. Institutional Dashboard: Displays real-time data for the most recent shift, including total volume, delta, and a session shift counter. Muted Chop Mode: Grey-scales non-significant candles to highlight the "Path of Least Resistance." Error Handling: Built-in notification if the user selects an LTF timeframe that is mathematically incompatible with the current chart. 🔵 DASHBOARD METRICS Last Shift: Indicates the direction (Bullish/Bearish) of the most recent displacement. Shift Vol: The total volume transacted during the most recent high-conviction move. Shift Δ: The net delta of the last shift, showing the dominant aggressive party. Shift Count: A running tally of Bullish vs. Bearish shifts since the chart was loaded. 🔵 HOW TO USE Identifying Ignition: A Displacement bar appearing at a support or resistance level often marks the start of a new trend (Trend Ignition). Spotting Traps: Look for "Bullish Shifts" where the Sell Block makes up a large portion of the candle body. This indicates heavy absorption by sellers and may lead to a failed breakout. Confluence with Delta: Use the Dashboard's "Shift Δ" to confirm that the displacement move is backed by strong net buying/selling rather than just high-volume churn. Exit Timing: If price enters a consolidation zone and the "Shift Count" starts alternating rapidly between Bullish and Bearish, it indicates institutional indecision. 🔵 CONCLUSION Institutional Displacement & Volume Delta provides a specialized lens into market momentum. By focusing on displacement and the internal mechanics of volume, it helps traders align themselves with the "smart money" and avoid the low-probability volatility of retail-driven noise.
Pine Script® Indikator
von BigBeluga
8
Ranked Order Block Zones (Zeiierman)█ Overview Ranked Order Block Zones (Zeiierman) is an advanced Order Block engine that transforms traditional OB detection into a dynamic ranking and prioritization system. Instead of displaying every detected Order Block equally, the script stores each zone as a structured data object, evaluates its quality in real time using multiple market factors, and continuously ranks all active zones based on their relative strength. The result is a cleaner, more intelligent Order Block framework that focuses attention on the highest-quality institutional zones currently influencing price action. █ How It Works ⚪ Structured Order Block Engine Each detected Order Block is stored as a structured UDT object containing its price range, direction, size, mitigation state, volume behavior, trend alignment, internal strength, and overall quality score. This allows every zone to behave like an active market structure rather than a static drawing. The script detects Order Blocks using candle-flip structures combined with ATR-normalized body validation, allowing the system to automatically adapt across different assets, volatility conditions, and timeframes. ⚪ Dynamic Quality Ranking Every Order Block receives a continuously updated quality score based on: • Zone size relative to ATR • Volume expansion • EMA trend alignment • Candle displacement strength • Mitigation progress • Zone age decay All Order Block objects are stored inside an array and ranked using Pine Script’s native UDT collection sorting: obs.sort(order.descending, sort_field = "qualityScore") This allows the script to dynamically reorder all active zones in real time, prioritizing the strongest institutional areas while weaker zones gradually lose ranking. ⚪ Smart Zone Management After sorting, only the highest-ranked Order Blocks are displayed on the chart while lower-quality zones remain internally tracked but hidden from view. The script can also merge overlapping zones of the same direction to reduce clutter and create a cleaner institutional structure. Each zone continuously tracks mitigation progress. As price trades deeper into an Order Block, its quality score weakens until fully mitigated zones are automatically removed. ⚪ Internal Strength Distribution Every Order Block contains bullish and bearish internal pressure components displayed as live strength bars inside the zone. These help visualize: • Directional dominance • Continuation potential • Structural weakness • Opposing pressure developing inside the zone █ How to Use ⚪ Focus on Top-Ranked Zones Only the strongest Order Blocks are displayed based on current market conditions and quality ranking. ⚪ Read Internal Strength Bars • Strong directional dominance → higher continuation probability • Balanced pressure → weaker structure • Opposing pressure growth → increasing failure risk ⚪ Watch for Retests Order Blocks become most useful when price revisits the zone after the initial displacement move. Strong retests often show: • Immediate reaction from the zone • Strong directional continuation • Respect of internal strength alignment Deeper or repeated retests can weaken the zone over time as mitigation increases and quality decays. █ Related Scripts Ranked FVG Imbalance Zones (Zeiierman) █ Settings Show Top Zones: Controls how many of the highest-ranked Order Blocks are displayed. Max Stored OBs: Controls how many Order Blocks are tracked internally. Volume MA Length: Defines the baseline used for volume expansion scoring. Trend EMA Length: Defines the EMA used for trend alignment scoring. Min Flip Body ATR: Defines the minimum candle body size required for valid Order Block creation. Merge Overlapping OBs: Enables automatic merging of overlapping zones. Max Merge Size ATR: Prevents merged zones from becoming excessively large. ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Pine Script® Indikator
von Zeiierman
6
ATR Exceedance Probability Model [LuxAlgo]The Volatility Exceedance Probability Model (VEPM) indicator is a comprehensive statistical tool designed to quantify the significance of volatility spikes, determine the likelihood of trend continuation, and categorize market environments into specific regimes. 🔶 USAGE The indicator provides a multi-layered view of volatility, allowing traders to distinguish between standard market noise and statistically significant "exceedance" events. 🔹 Oscillator Interpretation The main oscillator plots the current exceedance frequency (the rate at which price or range breaches ATR-based thresholds) against a long-term baseline. Bullish/Significant Glow: When the Z-Score of the frequency exceeds the sensitivity threshold, the oscillator glows green, indicating a high-probability volatility expansion. Bearish/Normal Glow: When the frequency falls below the baseline, the oscillator shifts toward red, signaling a contraction in volatility. Frequency Delta: The area between the current frequency and baseline frequency is filled to highlight the momentum of volatility expansion or exhaustion. 🔹 Chart Visuals & Regimes The script overlays information directly on the price action to provide context: ATR Bands: Dynamic bands based on the Average True Range act as the "exceedance" barrier. Regime Boxes: The indicator automatically identifies "Quiet," "Normal," and "High Vol" regimes. These are visualized as colored boxes (defaulting to High Vol) to show the duration and range of specific volatility climates. Significance Dots: Circles appear at the top of the chart to mark bars that have breached the volatility threshold. 🔹 Dashboard Metrics A real-time dashboard provides quantitative data: Exceedance Freq: The percentage of bars in the short-term window that breached the ATR levels. Serial Break Prob: The historical probability that a breach will be followed by another breach (continuation). Clustering Edge: The statistical advantage of volatility clustering; a positive value suggests that volatility is currently feeding on itself. 🔶 DETAILS The VEPM operates on the principle that volatility is not constant but "clusters" in time. It uses the following logic to derive its metrics: Exceedance Detection: It calculates whether the current price range (True Range) or price levels (High/Low) exceed a user-defined ATR multiplier. Statistical Z-Score: By comparing the current frequency of these breaches to a long-term baseline (200 bars by default), the model calculates a Z-Score to determine if the current activity is statistically "abnormal." Continuation Probability: The model looks back at previous breaches and calculates how often they resulted in immediate follow-through, providing a "Serial Break" percentage. 🔶 SETTINGS 🔹 Core Settings ATR Length: The lookback period used for the Average True Range calculation. ATR Multiplier: The threshold used to define what constitutes a "breach" or exceedance. Breach Detection Method: Choose between comparing the bar's total range to ATR or checking if price levels exceed the previous bar's bands. 🔹 Statistical Windows Short-Term Window: The period used to calculate the current exceedance frequency. Baseline Window: The long-term period used to establish the "normal" mean of volatility frequency. Z-Score Sensitivity: Determines the threshold for identifying statistically significant volatility spikes. 🔹 Visuals Show ATR Bands: Toggles the visibility of the ATR-based levels on the chart. Bands Mode: Determines if bands are offset from a central basis (SMA/EMA) or from the bar's High/Low. Regime Box Options: Toggles background boxes for Quiet, Normal, or High Volatility regimes. 🔹 Dashboard Dashboard: Enables or disables the on-screen information table. Position/Size: Controls the location and scale of the dashboard UI.
Pine Script® Indikator
von LuxAlgo
2
Kinetic Trailing Stop & Targets [ChartPrime]🔶 OVERVIEW Risk management is the backbone of successful trading, but static trailing stops often fail to account for the "momentum" of a move. The Kinetic Trailing Stop & Targets is an adaptive volatility-based system designed to breathe with the market. Unlike standard ATR trailing stops that move at a fixed distance, this indicator uses a "kinetic" engine. It calculates the relationship between price momentum and current volatility to determine how aggressively the stop should follow price. When momentum is high, the stop "tightens" to protect profits; during quiet periods, it expands to avoid being "stopped out" by minor noise. 🔶 THE KINETIC ENGINE: HOW IT WORKS The indicator relies on a multi-layered calculation to determine the stop-loss placement: Dynamic Volatility Ratio: The tool tracks the current ATR relative to its 50-bar high. This creates a "Volatility Ratio" that dictates the width of the buffer. Momentum-Responsive Stepping: The stop doesn't just trail; it "steps." If the price makes a significant move (measured by a Momentum Score), the stop reacts kinetically, jumping closer to price to lock in gains. The Guard Distance: To prevent the stop from becoming too tight and causing "premature exits," a minimum Guard Distance is maintained, ensuring price always has a statistically significant "air gap" to fluctuate within. 🔶 AUTOMATED TARGET MILESTONES A standout feature of this tool is the Target Level System . The moment a trend flips (indicated by the diamond shapes), the indicator marks that price as the "Trend Origin." Fixed Percentage Scaling: The indicator projects horizontal milestones (e.g., +2%, +4%, +6%) from the origin point. Historical Milestone Logging: When price hits a target, a dashed line and label are permanently fixed to the chart, allowing you to see exactly where profit-taking opportunities occurred. Active Target Tracking: The dashboard displays the next upcoming target and exactly what percentage "distance" remains until it is hit. 🔶 VISUAL FEATURES Trend-Colored Candles: The entire chart's aesthetic shifts based on the trend. Bullish trends are painted in teal/green, while bearish trends shift to pink/red. Flip Diamonds: High-visibility markers appear the moment a trend reversal is confirmed, signaling a shift in the stop-loss orientation. Dynamic Cloud Fill: A gradient fill between the price and the stop line provides a visual representation of the "risk zone." 🔶 INDICATOR SETTINGS ATR Smoothing Length: Adjusts the lookback for volatility. Longer lengths result in a smoother, slower-moving stop. Sensitivity: Controls the "Kinetic" response. Higher sensitivity makes the stop jump more aggressively during momentum spikes. Band Multiplier & Guard Distance: These two settings define the "outer" and "inner" limits of your stop-loss width. Level Spacing (%): Set the distance between your target milestones (e.g., set to 1.0 for every 1% move). 🔶 TRADING UTILITY Trend Following: Use the Kinetic Stop to ride long-term trends without getting shaken out by volatility spikes. Scaling Out: Use the automated Target Levels as objective signals to scale out of a position (e.g., close 25% of the trade at each milestone). Volatility Filter: By observing the distance between the price and the stop, you can visualize "volatility expansion"—if the gap is widening, the market is becoming more chaotic. 🔶 CONCLUSION The Kinetic Trailing Stop & Targets is a professional-grade risk management suite. By combining momentum-aware trailing logic with fixed percentage targets, it provides traders with a clear, objective roadmap for both staying in a trade and knowing exactly when to exit.
Pine Script® Indikator
von ChartPrime
4
Supertrend Extensions [BOSWaves]Supertrend Extensions - Trend Flip Extension Mapping with Volume-Captured Deviation Level Progression Overview Supertrend Extensions is a trend extension mapping system that projects a structured set of deviation levels from each trend flip, where level spacing, crossing detection, and volume capture behavior are driven by the instrument's average range rather than fixed price distances, creating a dynamic extension framework that scales to any instrument or timeframe and records participation data at each milestone as price progresses through the projected levels. Instead of treating a trend flip as simply a directional signal, each flip generates an immediate sequence of extension levels projected from the flip price in the new trend direction. These levels serve as structured targets and monitoring points throughout the developing move. When price crosses each level, it converts from a numbered solid line to a dashed reference displaying the crossing bar's volume, building a running record of participation quality at each stage of the trend's extension. This creates a framework that transforms every trend flip into the origin point of a fully mapped extension sequence. The Supertrend band provides the directional anchor that triggers and validates each new projection set, while the deviation levels and their volume capture layer provide the structural and participatory intelligence needed to monitor how the trend is developing from flip through to full extension. Price is therefore tracked not just for direction but for progression through a volatility-calibrated extension map where participation at each crossing reveals whether the move is being driven by conviction or fading with each successive level. Conceptual Framework Supertrend Extensions is founded on the principle that the most valuable information in a trending market is not just the direction of the trend but how price is progressing through extension space from the structural origin, and whether participation at each extension milestone is confirming or undermining the case for further progression. Standard trend indicators identify direction and provide a trailing band but offer no framework for understanding extension behavior or monitoring participation quality as price moves away from the flip. This framework addresses that gap by treating each trend flip as the start of a measurable extension sequence, projecting levels at range-calibrated distances and capturing volume data as each level is crossed to build a continuously updating picture of trend health from origin to target. Three core principles guide the design: Each trend flip should immediately generate a structured extension map anchored to the flip price, providing a pre-calculated sequence of levels that serve as targets and monitoring points without requiring manual analysis. Deviation level spacing should adapt to the instrument's actual average range, ensuring levels are meaningfully spaced relative to how the instrument typically moves rather than applying identical distances across all markets and timeframes. Volume participation at each level crossing should be captured and permanently displayed, providing an objective record of whether price is moving through each extension milestone on strong or deteriorating participation. This shifts trend analysis from directional signal monitoring into active extension progression tracking with volume evidence accumulated at every structural milestone. Theoretical Foundation The indicator combines a Supertrend band as the directional trigger, SMA-averaged range-derived deviation spacing for extension level placement, an array-managed line and label object system for level lifecycle management, and volume standard deviation normalization for candle color intensity. Deviation level distances are derived from the 100-bar SMA of the high-low range multiplied by the configured deviation size, producing spacing that reflects the instrument's typical bar-level price movement and scales automatically as volatility expands or contracts between trend cycles. The array-managed line and label system clears all existing levels on each flip and projects a fresh numbered set, extending each line rightward until price crosses it or the next flip resets the map. Volume normalization divides raw volume by its rolling standard deviation to produce a score that drives candle color intensity relative to recent participation history rather than absolute values. Four internal systems operate in tandem: Deviation Level Projection System : On each trend flip, clears all existing deviation lines and labels and projects a fresh numbered sequence at average range-scaled intervals from the flip price in the new trend direction. Level Extension and Crossing Engine : Extends each active deviation line rightward on every bar and monitors for price crossings in the trend direction, converting crossed levels to dashed references and replacing the level number label with the crossing bar's formatted volume. Supertrend Band Engine : Provides the directional anchor that triggers each new projection set, maintaining trailing upper and lower bands that define current trend state and flip conditions. Volume Intensity Candle System : Normalizes volume against its rolling standard deviation and maps the resulting score to a color gradient between a muted and fully saturated version of the trend color, communicating participation strength on every bar. This design ensures that every trend flip immediately produces a complete extension framework, level crossings accumulate a volume evidence trail, and candle coloring provides continuous participation context throughout the trend's development. How It Works Supertrend Extensions evaluates price through a sequence of extension-aware and participation-monitoring processes: Trend Flip Detection : The Supertrend band registers a flip when price closes through the opposing trailing band, triggering both the signal label and the deviation level projection sequence. Deviation Distance Calculation : The 100-bar SMA of the high-low range is multiplied by the configured deviation size to produce the spacing distance between consecutive deviation levels for the new trend cycle. Level Projection on Flip : All existing deviation lines and labels are deleted and a fresh numbered set is projected from the flip bar's close, with each level placed at a sequential multiple of the deviation distance in the new trend direction. Level Extension : On each bar following the flip, all active deviation lines extend their right endpoint to the current bar, maintaining continuous horizontal reference lines across the developing trend. Crossing Detection : Each active level is tested for price crossing on every bar, with bar highs tested against bullish levels and bar lows tested against bearish levels to identify genuine price contact with each extension milestone. Volume Capture on Crossing : When a level is crossed, its line converts to dashed style with a dimmed color and the label text replaces the sequential number with the crossing bar's volume formatted for readability, permanently recording participation at that extension point. Volume Intensity Candle Coloring : Each bar's volume is divided by its 200-bar rolling standard deviation to produce a normalized score capped at four, which maps to a color gradient from muted transparency at low participation to full trend color saturation at peak volume. Signal Label Placement : Bullish flips produce a triangle-up label with the flip price below the Supertrend line and bearish flips produce a triangle-down label with the flip price above, anchoring each new extension map to its precise origin price. Together, these elements form a continuously updating extension monitoring system where flip events generate structured projection maps, level crossings accumulate volume evidence, and candle intensity communicates participation strength throughout every stage of the trend. Interpretation Supertrend Extensions should be interpreted as a trend extension progression system with volume participation captured at each structural milestone: Bullish Trend State (Green) : Active when price has closed above the trailing upper band, with deviation levels projected upward from the flip price as sequential bullish extension targets. Bearish Trend State (Red) : Active when price has closed below the trailing lower band, with deviation levels projected downward from the flip price as sequential bearish extension targets. Deviation Levels (Solid, Numbered) : Uncrossed extension levels projected from the most recent flip price, numbered sequentially from one outward in the trend direction, representing the structured target sequence for the current trend cycle. Deviation Levels (Dashed, Volume Labeled) : Levels that have been crossed by price, converted to dashed style and displaying the crossing bar's volume rather than the level number. These form a permanent record of participation quality at each extension milestone already reached. Volume Labels on Crossed Levels : Volume readings at crossed levels reveal whether price moved through each extension point on meaningful participation or on thin activity, providing an accumulated evidence trail for assessing trend conviction across the full extension sequence. Supertrend Line : The solid colored band line provides the active trailing support or resistance reference for the current trend, serving as the invalidation boundary for the current directional state and the trigger for each new deviation level projection cycle. Trend Fill : Gradient fill between the Supertrend line and the bar midpoint provides a continuous visual representation of the gap between price and the structural boundary. ▲ / ▼ Flip Signals : Triangle labels displaying the flip price mark each trend change origin, providing a clean visual anchor that corresponds to the starting point of the current deviation level projection set. Volume Intensity Candles : Optional candle coloring brightens with above-average participation and fades toward a muted version of the trend color on low-volume bars, providing bar-level conviction readings without leaving the price chart. Deviation level progression, volume at crossed levels, and candle intensity collectively provide more information than trend direction alone. Signal Logic & Visual Cues Supertrend Extensions presents two primary trend transition signals alongside continuous extension level monitoring: Bullish Flip (▲) : Triggered when price closes above the trailing upper band, displaying the flip price below the bar and projecting a fresh set of upward deviation levels from the flip price. Bearish Flip (▼) : Triggered when price closes below the trailing lower band, displaying the flip price above the bar and projecting a fresh set of downward deviation levels from the flip price. Deviation level crossings provide continuous secondary context throughout each trend cycle, converting each extension milestone into a volume-stamped reference that builds a participation evidence log from flip to target. Alert generation covers bullish and bearish trend flips for systematic trend monitoring and notification workflows. Strategy Integration Supertrend Extensions fits within structured extension target and trend progression monitoring approaches: Deviation Level Target Sequencing : Use the projected deviation levels as a staged exit framework, planning partial position reductions at each sequential level rather than targeting a single fixed price, allowing structured progression management calibrated to each trend's specific origin and volatility context. Volume Confirmation at Levels : Monitor the volume displayed when deviation levels are crossed to assess participation quality at each extension stage. Sustained or increasing volume at successive crossings supports further progression, while declining volume at each level warns of weakening extension commitment. Flip-Based Trend Entries : Use Supertrend flip signals as primary trend initiation triggers, with the immediately projected deviation levels providing an instant target framework from the moment of entry. Supertrend Band Pullback Reference : Use the Supertrend line as a dynamic pullback reference within established trends, monitoring candle volume intensity on band retests for participation evidence supporting continuation rather than breakdown. Deviation Size Calibration by Timeframe : Adjust the deviation size multiplier to match the instrument's typical trend range at the target timeframe, ensuring the extension map spans a realistic distance relative to expected directional movement. Multi-Timeframe Extension Alignment : Apply higher-timeframe Supertrend state as a directional bias filter, engaging with lower-timeframe extension level sequences only when they align with the established higher-timeframe trend direction. Technical Implementation Details Deviation System : 100-bar SMA of high-low range scaled by configurable deviation size multiplier with configurable level count Level Lifecycle : Array-managed line and label objects cleared on each flip, extended rightward each bar, and converted to dashed references with volume labels on crossing Supertrend Engine : ATR-scaled trailing band with configurable multiplier and length as directional anchor and flip trigger Volume Normalization : 200-bar standard deviation-based scoring mapped to candle color gradient intensity Visualization : Solid and dashed deviation levels with volume labels, Supertrend line with trend fill, flip signal labels, and volume-intensity candle coloring Signal Logic : Band crossover state-switch detection with independent bullish and bearish flip conditions Performance Profile : Optimized for real-time execution with array-based object management and max_bars_back configuration supporting deep historical calculation Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Intraday extension mapping for scalping with tighter deviation spacing and lower level count for fast-moving target sequences 15 - 60 min : Session-level extension progression with balanced deviation size and moderate level count for structured intraday target management 4H - Daily : Swing-level extension mapping with wider deviation spacing and higher level count reflecting larger price swings between flip events Suggested Baseline Configuration: ATR Multiplier : 5.0 ATR Length : 14 Deviation Size : 2.7 Deviation Count : 4 Show Signals : Enabled Color Candles : Enabled These suggested parameters should be used as a baseline; their effectiveness depends on the instrument's typical extension range, average bar size, and preferred level density, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Deviation levels too close together : Increase Deviation Size to spread levels further apart relative to the average bar range, producing a wider extension map that better reflects the instrument's typical trend range at the target timeframe. Deviation levels too far apart : Decrease Deviation Size toward 1.0 to tighten level spacing, producing more granular extension targets suited to lower timeframes or lower-volatility instruments. Too many levels cluttering the chart : Reduce Deviation Count to limit projected levels to the nearest and most actionable targets, focusing the extension map on realistic near-term progression milestones. Too few levels to cover the typical trend range : Increase Deviation Count up to the maximum of six to extend the projection sequence further, covering a wider range of potential extension targets for instruments with larger typical trending moves. Too many trend flips resetting the extension map : Increase the ATR Multiplier to widen the Supertrend band and require more significant price displacement before a flip resets the deviation level sequence. Trend flips too slow to capture structural changes : Decrease the ATR Multiplier toward 2.0 for a more responsive band that generates fresh extension maps closer to actual structural shifts in price direction. Candle coloring too uniform : The volume intensity gradient operates on a standard deviation basis. On instruments with very consistent volume distribution the gradient range may appear compressed, which is expected and reflects genuinely low variation in participation levels. Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions. Performance Characteristics High Effectiveness: Trending markets with sustained directional moves where deviation levels are reached sequentially and volume at each crossing provides meaningful progression confirmation Instruments with consistent average range behavior where deviation spacing calibrates reliably to the instrument's typical bar-level price movement across different trend cycles Structured target-based approaches where the deviation level sequence provides a systematic exit framework calibrated to each trend's specific origin and volatility context Multi-timeframe workflows where higher-timeframe trend direction filters lower-timeframe flip signals for directional alignment with the broader trend Reduced Effectiveness: Choppy, range-bound markets where frequent trend flips reset the extension map before price reaches the first deviation level, preventing a useful progression sequence from developing Extremely volatile instruments where large individual bars cause the average range to spike, producing deviation spacing that overstates typical extension potential for subsequent trend cycles Low-volume instruments where the standard deviation-based candle coloring loses discriminative power due to irregular or thin volume distribution News-driven or gap-heavy markets where trend flips occur on discontinuous price action that distorts the average range calculation and misaligns deviation level placement relative to actual structural extension potential Consolidation environments where price oscillates near the Supertrend band without establishing the sustained directional movement required for sequential deviation level progression Integration Guidelines Confluence : Combine with BOSWaves momentum tools, order flow analysis, or market structure indicators to validate trend flip signals and assess the broader analytical context before committing to deviation level target sequences Volume Label Monitoring : Review volume labels on crossed deviation levels as a running confirmation log for the trend. Declining volume at successive levels suggests weakening extension commitment and warrants caution about remaining target progression. Deviation Level Respect : Treat uncrossed deviation levels as active areas of potential price reaction rather than guaranteed targets. Monitoring candle behavior and volume intensity as price approaches each level provides early indication of whether the level will be crossed or act as a reversal point. Extension Map Freshness : Recognize that deviation levels are anchored to the most recent flip price and reflect the volatility conditions at that specific origin point. As time passes within a trend cycle, reassess whether the projected levels remain relevant to current market conditions. State Discipline : Maintain directional bias aligned with the current Supertrend state until a confirmed flip occurs. Temporary pullbacks toward the active band that do not close through it do not constitute trend changes and should not trigger premature exits from active extension target sequences. Disclaimer Supertrend Extensions is a professional-grade trend extension mapping and volume participation tracking tool. It uses range-calibrated deviation level projection with volume capture at each crossing but does not predict future price movements. Results depend on market conditions, instrument volatility characteristics, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates momentum context, order flow analysis, and comprehensive risk management.
Pine Script® Indikator
von BOSWaves
Adaptive Modern RSI [GBB]Adaptive Modern RSI A self-tuning RSI. Instead of you picking a period and overbought/oversold levels and hoping you got it right, the indicator figures out the best settings from recent price action and adjusts as the market changes. It tests 60 different parameter combinations on every bar (5 RSI periods, 3 smoother strengths, 4 threshold pairs), measures how each one would have performed over the last 300 bars, and uses whichever combination scored best. When the market shifts, the parameters shift with it. The thinking behind it: Wilder published the RSI in 1978. The "14 period, 70/30 levels" defaults were chosen for stock markets that traded a few hours a day. Crypto, 24/7 markets, and modern volatility didn't exist yet. What you see on the chart The aqua line is the active RSI — whichever period and smoother the optimizer currently picked. The red and green horizontal lines are the adaptive overbought and oversold levels. They step when the optimizer changes its mind about what counts as "extreme" for this asset right now. Red triangles fire when the RSI rolls over from overbought. Green triangles fire when it enters oversold. Both fire on bar close and never repaint. The label at the top tells you what kind of market the recent past has been. Five possible regimes: Mean-reverting chop — Fast reversals at extremes. RSI triggers are most reliable here. Quiet range — Mild swings, modest signal. Use as light confluence only. Trending — Mean reversion is dangerous here. Use the RSI for pullback entries in the trend direction, not for fading. Noisy transition — The indicator can't find a stable read. Step back, wait for clarity. Adapting — Warming up on a fresh chart. Give it the lookback period worth of bars. Next to the regime name you'll see "held N bars." That tells you how long the current regime read has been stable. A regime held for 200+ bars is a confident read. A regime that just flipped (held 5 bars) is fresh and should be weighted lightly. How to use it per regime Mean-reverting chop :This is the regime RSI was designed for. Use the triggers actively, with normal confluence requirements (price at a level, HTF context, etc.). Tight stops, normal targets. Quiet range: Triggers work but the moves are small. Better for intraday scalp confluence than positional setups. Don't size up on triggers alone. Trending : Invert the classic logic. Green triangles in an uptrend are pullback buys, not counter-trend opportunities. Red triangles in a downtrend are bounce shorts. Never fade triggers against the trend in this regime — that's how RSI users blow up accounts. Noisy transition : Sit on your hands. The indicator is telling you it can't find a signal. This is rare but valuable information — most indicators don't admit when they don't know. Adapting : Wait. On 1H with default 300-bar lookback, this takes about 12-13 days of data. What it works on Designed for crypto, but the logic is asset-agnostic. The optimizer figures out the right parameters from whatever data you give it. Tested on: - Crypto (BTC, ETH, majors) on 5M through 1D - Forex majors on 15M through 4H - Indices (NDX, SPX, DAX) on 1H through 1D - Gold on 1H through 1D On lower timeframes (5M, 15M), consider raising the optimization lookback from 300 to 500-700 bars. On higher timeframes (4H, 1D), you can lower it to 100-200. The default 300 is tuned for 1H. The tooltip on the input has more detail. Everything else (forward-return horizon, switch margin, regime hysteresis) can stay at defaults across all assets and timeframes for a first pass. What it is not A complete trading system. This is one RSI layer. It tells you something about momentum and mean-reversion potential. It does not tell you about trend, volume, market structure, key levels, or risk management. If you trade off this alone, you will lose money. A leading indicator. Triggers fire on bar close, after the crossover happens. There is no lag in the sense of waiting for confirmation bars, but there is also no prediction. The indicator is reactive to closed-bar price action, not forecasting future bars. A backtest-proof strategy. The parameter optimization is backward-looking. It tunes to what worked recently. At regime transitions (chop becoming trend, trend becoming crash), the indicator will lag because its lookback window is still anchored to the old regime. The regime label and the "held N bars" counter give you the information to know when to trust it more or less. Settings Optimization lookback (default 300) : How many bars the optimizer searches over. Shorter adapts faster but jitters more. Longer is stabler but slower to catch genuine regime shifts. Forward-return evaluation horizon (default 5) : How many bars forward the optimizer measures trigger payoffs. 5 is a reasonable mean-reversion timescale. Bump to 8-10 for forex if you want to. Switch margin (default 10%) : New parameter winners need to beat the current ones by this much to take over. Higher means stickier parameters. Minimum triggers required (default 5) : Candidates firing fewer than this many times in the lookback are disqualified. Prevents noisy low-sample-size winners. Regime label hysteresis (default 10): Bars the new regime classification must hold before the displayed label updates. Higher means more stable label, slower to react to genuine shifts. Regime label size : Tiny to huge. Pick whatever fits your screen. Final note This indicator does not replace thinking. It does not replace risk management. It does not replace knowing the asset you're trading. It gives you a better RSI than 1978's defaults. The rest is on you. Made by The Good, the Bad and the Bitcoin (GBB) Quantitative trading research with no shilling, no paywall, and no hype.
Pine Script® Indikator
von GoodBadBitcoin
Gann Semicircles Time Projections | Astral Vision Gann Semicircles Time Projections | Astral Vision 🌠💠 This indicator projects Bitcoin's market cycle structure forward in time using a geometric framework based on W.D. Gann's semicircle theory, which treats time as the primary axis of market analysis. The core premise is that significant market cycles repeat in proportional time intervals, and that within each cycle the key inflection points (the parabolic acceleration phase, the cycle top, and the cycle bottom) occur at geometrically predictable subdivisions of the total cycle duration. Calculation ⚙️ The model is anchored to two historically significant Bitcoin cycle bottoms: January 14, 2015 and December 16, 2018. The distance in bars between these two anchors defines the base cycle length R. This cycle is then projected forward three times from the second anchor, producing four complete cycles in total: one historical (2015 to 2018), and three projected forward from 2018 onward. Within each cycle of length R, the indicator draws a hierarchy of semicircles at three levels of subdivision. The first level draws a single large semicircle spanning the full cycle length R with a peak height of 1.0. The second level splits the cycle at the midpoint R/2 and draws two semicircles each with half the peak height, marking the parabolic acceleration zone at the cycle midpoint. The third level splits each half further into quarters R/4 and draws four smaller semicircles each with one quarter of the peak height, marking the early and late phases of each sub-cycle. Each semicircle is constructed by computing 101 points distributed along a sine curve. For each point at position i from 0 to 100, the horizontal fraction along the cycle is computed as (1 - cos(π × i/100)) / 2, which produces a smooth non-linear distribution that accelerates toward the center and decelerates at the edges. The vertical coordinate at each point is sin(π × i/100) multiplied by the peak height. This produces a true geometric semicircle in the time-price space of the sub-panel. The key time projections within each cycle are: the cycle top, placed at the three-quarter mark of the cycle (R × 3/4 from the cycle start), the parabolic move marker at the midpoint (R/2), and the cycle bottom at the end of the cycle (R). Each projection is labeled directly on the price chart at the high of the nearest historical bar, or at the last available high for future projections. Each semicircle is rendered with three layered polylines at decreasing transparency and increasing line width to create a glow effect. Plots 📊 Full-cycle semicircle spanning each complete cycle period, colored with the positive theme color Two half-cycle semicircles at R/2 subdivision, colored with the negative theme color Four quarter-cycle semicircles at R/4 subdivision, colored with the positive theme color All semicircles rendered with a three-layer glow effect Labels on the price chart marking Cycle Top, Parabolic Move, and Cycle Bottom at each key time projection Inputs 🎛️ No period or length inputs: the cycle structure is fully derived from the two fixed historical anchors Colors 🎨 5 Astral Vision presets + custom override. Default: Hermes. Purpose 🎯 Standard cycle indicators use fixed bar counts or calendar-based periodicity, which do not adapt to the proportional structure of each individual cycle. This indicator derives its forward projections entirely from the geometry of the two anchor points, meaning the projected cycle length is empirically grounded in Bitcoin's own historical behavior rather than imposed from outside. The three-level semicircle hierarchy provides a visual map of the entire cycle structure simultaneously, making it possible to identify not just when a top or bottom might occur but also the parabolic acceleration zone that precedes it, which is absent from linear cycle tools. Disclaimer ⭕️ This indicator is for informational and educational purposes only. It does not constitute financial advice. Past performance is not indicative of future results. Always do your own research before making investment decisions.
Pine Script® Indikator
von AstralVision
9
KN - Smart TP SL SignalsKN - Smart TP SL Signals is an EMA crossover trading indicator with built-in ATR-based risk management. Features: • Buy and Sell signals using EMA crossover • Automatic Stop Loss and Take Profit levels • TP1 / TP2 / TP3 visualization • Dynamic risk-reward zones • Automatic TP/SL tracking • Expanding trade projection lines • Clean and simple chart visualization This indicator is designed for educational and chart analysis purposes only. Not financial advice.
Pine Script® Indikator
von phamhaihoclt
Nova Reversal Bands by LunqFXNova Reversal Bands identifies high-probability reversal points using adaptive dynamic bands, a built-in candle pattern filter, and a live market regime dashboard — all in one clean overlay. Most band indicators give you too many signals. Nova Reversal Bands solves this with a two-step confirmation: price must touch the band AND form a reversal candle (pin bar or engulfing pattern) before any signal appears. The result is fewer signals, but ones that actually matter. ◈ WHAT YOU SEE ON THE CHART ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔶 Orange Upper Band — the overbought zone. When price touches it from below, the market is stretched to the upside. Look for sell signals here. 🔷 Blue Lower Band — the oversold zone. When price touches it from above, the market is stretched to the downside. Look for buy signals here. ⚪ Fair Value Line — the "true center" of price, calculated with a Hull MA + WMA blend for low lag. When price is far above = overheated. Far below = oversold. 🟡 Gold Fill (SQUEEZE) — appears when the bands compress tightly together. This means volatility is collapsing and a big move is coming soon. The direction of the breakout tells you which way to trade. 🔵 Blue label below candle = BUY signal 🟠 Orange label above candle = SELL signal ◈ WHAT DO THE STARS MEAN? ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Every signal is automatically rated 1 to 5 stars based on three factors: How deep price penetrated the band Whether ATR is expanding (= momentum behind the move) Whether the bands are widening (= confirming the stretch) ★ — Weak. Price barely touched the band. Skip or use small size. ★★ — Below average. Possible but not ideal. ★★★ — Good. Solid setup, worth trading. ★★★★ — Strong. All factors aligned. ★★★★★ — Maximum. High-conviction reversal setup. Rule of thumb: only trade ★★★ and above. ◈ THE REVERSAL CANDLE FILTER ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ This is what separates Nova Reversal Bands from every other band indicator. A signal only fires when the band touch is confirmed by a reversal candle pattern: Pin Bar — a candle with a long wick (>50% of the candle range) rejecting the band level. This tells you: price tried to go further, failed, and snapped back. Engulfing — the current candle completely swallows the previous one in the opposite direction. Strong momentum flip. If neither pattern is present at the band touch, no signal appears — no matter how far price has stretched. This filters out roughly half of false entries. You can turn this filter OFF in settings if you prefer to see all band touches. ◈ HOW TO TRADE — STRATEGY 1: REVERSAL ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Wait for price to reach the Upper or Lower Band Wait for a ★★★+ signal label to appear Enter in the direction of the signal on the next candle open Stop loss: just beyond the band level Target: Fair Value line (center) or opposite band Best used on: ranging markets, after a clear swing into the band ◈ HOW TO TRADE — STRATEGY 2: SQUEEZE BREAKOUT ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Watch for the SQUEEZE label (gold box between the bands) Wait — do not enter yet. Price is coiling. The moment a candle closes outside either band, that is your entry direction Stop: back inside the bands Target: measure the width of the bands before compression, project that distance from breakout point This setup catches the highest-velocity moves. The SQUEEZE appears right before large news events, session opens, and trend initiation phases. ◈ BAND TOUCH MEMORY ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ The bands change brightness based on how many times price has touched them without breaking through. 1-2 touches — band is normal brightness. Level is still respected. 3-4 touches — band gets noticeably brighter. Watch closely. 5-6 touches — band is at full intensity. Exhaustion is possible. Gray band — the band is exhausted. Price has rejected it too many times. Expect a break, not a reversal. This tells you whether to fade the band (early touches) or expect a breakout (exhausted band). ◈ THE INFO PANEL EXPLAINED ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ BULLISH / BEARISH / SQUEEZE / EXPANDING — current market regime based on price position relative to Fair Value and band width state. Zone Position % — where price sits inside the bands right now. 0% = at the lower band. 100% = at the upper band. 50% = exactly at Fair Value. Anything below 20% or above 80% = extreme zone. FV Stretch — how many ATRs price is away from Fair Value. Below 1.0× = normal, no stretch 1.0–2.0× = moderate stretch, reversal possible Above 2.0× = strong overextension, high reversal probability Last Signal — what the last signal was and how many bars ago it fired. Band Memory — touch count for each band. When it shows "EXHAUSTED ✕" the band is no longer a reliable reversal zone. ◈ SETTINGS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Fair Value Length (default 50) — how many bars to calculate the center line. Higher = smoother but more lag. Band Multiplier (default 2.4) — how wide the bands are. Increase for high-volatility assets like crypto. Decrease for slow-moving assets like bonds. Signal Cooldown (default 5) — minimum bars between signals. Prevents multiple entries on the same move. Reversal Candle Filter (default ON) — turn OFF to see all band touches as signals. Compression Threshold (default 0.75) — sensitivity of the SQUEEZE detection. Lower value = only extreme squeezes trigger. Higher = more frequent alerts. Show Outer Bands — secondary bands for extended breakout targets. ◈ ALERTS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Five built-in alert conditions: Buy Signal Sell Signal Band Squeeze (breakout incoming) Upper Band Exhausted Lower Band Exhausted All signals are calculated on bar close. No repainting. Why these components exist together — and how they interact Most band-based indicators answer only one question: "Is price at an extreme?" Nova Reversal Bands answers four questions simultaneously, and each component feeds the next. The problem with standard bands is that they generate signals at every touch — regardless of whether the touch is meaningful. A single touch on a fresh band is not the same as a fifth touch on an exhausted one. A signal during a volatility squeeze is not the same as one during normal conditions. Standard bands cannot distinguish between these cases. NRB solves this through a layered confirmation system where each component filters the previous one: ① Center Line (WMA + Hull MA blend) establishes the adaptive fair value — the price level the market is gravitating toward. Hull MA reduces lag; WMA adds stability. Together they produce a center line that reacts faster than EMA without the noise of a raw Hull. ② Percentile Band Width sets the outer boundaries using the 85th percentile of recent candle ranges plus ATR. This makes bands resistant to spike distortion — a single abnormal candle does not inflate them the way standard deviation does. The result is bands that represent typical volatility, not worst-case. ③ Squeeze Detection monitors whether band width is compressing relative to its own 50-bar average. When it drops below threshold, volatility is coiling. This changes the meaning of every other component: a signal during a squeeze carries breakout potential, not reversal potential. The gold fill communicates this state shift visually. ④ Touch Memory tracks how many times price has tested each band without breaking through. Early touches (1–2) suggest a respected level. Repeated touches (5–6) suggest exhaustion — the band is weakening. Band color intensity reflects this count, so traders can see band strength at a glance without reading numbers. ⑤ Exhaustion Tracking goes one step further: when rejections accumulate past the threshold, the fill turns gray. This suppresses reversal bias and signals that a band break, not a bounce, is the higher-probability outcome. ⑥ Reversal Candle Filter is the final gate before a signal appears. Price reaching the band is necessary but not sufficient — the candle at the touch must confirm rejection through a pin bar (long wick) or engulfing pattern. This single filter eliminates approximately half of false entries that occur when price drifts through a band rather than rejecting it cleanly. ⑦ Strength Score (1–5 ★) synthesizes penetration depth, ATR momentum, and band width expansion into a single rating. It answers: among signals that passed all filters, how strong is this one? A ★ signal means minimum conditions met. A ★★★★★ means all factors aligned simultaneously. All seven components share the same underlying band geometry. They are not separate indicators placed on one chart — they are one system where each layer interprets the same price-band relationship from a different angle.
Pine Script® Indikator
von LunqFX
Elaris Smart Scalping IndicatorElaris Smart Scalping Indicator is a non-repainting trend and momentum scalping tool designed to help traders identify higher-quality buy and sell conditions using a structured confluence model. The indicator combines EMA trend direction, RSI momentum, MACD histogram confirmation, volume strength, ATR volatility filtering, optional higher-timeframe bias, and session filtering into a clean signal-scoring system. Signals are confirmed only after candle close, helping reduce intrabar noise and repainting behavior. It also includes visual TP/SL guide levels, trend background shading, buy/sell labels, alert conditions, and a compact dashboard showing trend state, HTF bias, RSI, ATR percentage, volume filter status, and signal score. This tool is designed for scalping and short-term trading analysis across crypto, forex, indices, and other liquid markets. It is not financial advice and should be used with proper risk management and additional market context. Key Features Non-repainting confirmed buy/sell signals EMA-based trend engine with adjustable strictness RSI and MACD momentum confirmation Optional higher-timeframe trend filter Volume and ATR volatility quality filters Optional session filter Signal score system from 0–100 Visual entry, stop loss, TP1, and TP2 guide levels Clean dashboard for live market state Built-in TradingView alert conditions
Pine Script® Indikator
von ElarisGroup
1
AlphaTrend Momentum Matrix [MarkitTick]💡 The AlphaTrend Momentum Matrix is an advanced, comprehensive trend-following architecture designed to dynamically track market momentum, manage dynamic trade states, and seamlessly bridge the gap between technical charting and automated execution. Far from a simple overlay, this script acts as a multi-layered analytical suite. It evaluates primary trend direction using volatility and volume-weighted money flow, filters out market noise with a custom state-matrix, and projects actionable higher-timeframe data onto the active chart. Furthermore, it incorporates an internal mathematical framework capable of dynamically calculating strict risk-to-reward targets and dispatching meticulously formatted JSON payloads for external webhook execution. ✨ Originality and Utility ● The Momentum Matrix Advantage While traditional trend indicators rigidly lock onto moving averages or standard price bands, the AlphaTrend Momentum Matrix thrives on market dynamism. Its true utility lies in its multifaceted approach to trend validation. It introduces an exclusive "ATR Breakout Override" system—a custom logic module that forces a trend recalibration if an explosive price movement severely disrupts the standard deviation envelope, regardless of standard trailing conditions. This ensures the indicator remains highly responsive to sudden, high-impact market events without waiting for lagging conditions to catch up. ● Automated Payload and State Management A standout feature of this tool is its embedded Trade State system. It does not merely paint a signal on the chart; it internalizes the exact entry price, computes a precise stop-loss based on the active AlphaTrend baseline, and mathematically projects a 1:2 risk-to-reward Take Profit target. This localized tracking seamlessly interfaces with the built-in Alert Engine, dynamically injecting these critical metrics into formatted JSON templates ready for third-party automated execution systems. 🔬 Methodology and Concepts ● AlphaTrend Core Engine The primary directional engine relies on the interplay between the Average True Range (ATR) and the Money Flow Index (MFI). A trailing upper band (Support) and lower band (Resistance) are calculated using a user-defined ATR coefficient. The script interrogates the 14-period MFI; if the MFI reads above 50, indicating positive money flow momentum, the algorithm biases toward the Support band, updating it only when the price makes higher lows. Conversely, an MFI below 50 shifts the bias to the Resistance band. ● Breakout Override Protocol To counteract the inherent lag of volume-weighted smoothing, the indicator employs a momentum breakout scanner. By measuring the absolute distance between the previous two closing prices and comparing it against the prior ATR multiplied by a sensitivity factor, the script can definitively detect volatility shocks. If a shock occurs concurrently with a directional price cross over the active AlphaTrend line, the system immediately forces a directional shift, bypassing the standard MFI requirements. ● Signal Filtering and Matrix Constraints Raw signal crossovers are notoriously noisy during consolidation. To mitigate whipsaw trades, this script implements a continuous loop counter (the K and O matrices). It tracks the consecutive bars since the last primary buy or sell condition. A signal is only declared "valid" if it successfully breaks the historical sequence of the opposing trend counter, ensuring that localized micro-fluctuations do not trigger premature trade entries. 🔍 Deconstruction of the Underlying Scientific and Academic Framework ● Volatility and the Average True Range Developed by J. Welles Wilder Jr. in 1978, the Average True Range is a foundational pillar of this indicator. The ATR scientifically quantifies absolute market volatility by decomposing the entire range of an asset's periodic price action, factoring in gaps and limit moves. By applying a multiplier to the ATR, this script establishes a statistically significant standard deviation envelope, distinguishing between normal market "breathing" and definitive structural shifts. ● Volume-Weighted Momentum via Money Flow Index The MFI, created by Gene Quigley and Colin Dysart, represents an evolution of the Relative Strength Index (RSI). From an academic standpoint, the MFI incorporates volume into its momentum calculation, producing a more robust metric of buying and selling pressure. It uses the Typical Price (High + Low + Close / 3) multiplied by volume to calculate raw money flow. The 50-level threshold serves as the equilibrium point; sustaining above this level empirically signifies net accumulation, providing the mathematical justification for the indicator's bullish bias. ● Algorithmic State Machines The signal filtering mechanism and the internal Trade State tracker are practical applications of Finite State Machines (FSM) commonly used in quantitative algorithmic design. The script holds memory of its current operational state (Long, Short, Neutral) and refuses state transitions unless specifically validated mathematical conditions (boolean logic gates) are met, significantly reducing error rates inherent in purely reactive, memory-less indicators. ● Repainting and Lookahead Warning This script utilizes the request component to pull Higher Timeframe (HTF) context into the primary chart. Crucially, it employs the barmerge.lookahead_on parameter. While this creates a visually perfect, non-lagging representation of higher timeframe trends when analyzing historical data, it introduces lookahead bias. Traders must understand that historical HTF visuals and signals may appear with perfect precision on past bars, but real-time execution will lack this future data context, potentially resulting in different localized behavior in live markets. 🎨 Visual Guide ● The AlphaTrend Trailing Line Up Trend (Bullish): A bold, solid step-line tracking below the price, rendered in a distinctive golden-yellow (#F0D080). Down Trend (Bearish): A bold, solid step-line tracking above the price, colored in a deep crimson (#7A2010). ● The Cloud Fill Dynamic Channel: A semi-transparent shaded area connecting the active AlphaTrend line to a central Cloud Reference Line (a smoothing of the typical price). This cloud visually represents the buffer zone of the current trend. Color Coding: The cloud dynamically changes color to match the dominant trend (Gold for bullish, Crimson for bearish), allowing for rapid peripheral analysis of market conditions. ● Price Action Overrides Colored Candles: The bodies and wicks of the actual price candles are uniformly colored to reflect the AlphaTrend matrix state, instantly identifying periods of alignment or divergence. ● Execution Elements Signal Labels: Distinct "BUY" and "SELL" textual shapes appear precisely on the chart at the moment the state matrix validates a trend shift. HTF Stepline: When enabled, a secondary, smoothed step-line appears to show the overarching macro trend, colored accordingly to dictate the broader market regime. 📖 How to Use ● Trend Riding and Context The most effective way to utilize this tool is to align the primary chart timeframe with the HTF AlphaTrend line. If the HTF line is Gold, you should strictly look for "BUY" signals generated by the primary indicator to trade in the direction of the macro trend, ignoring temporary bearish signals as minor pullbacks. ● Momentum Breakout Confirmation When you observe a sudden color change accompanied by an unusually large price bar, this is often the Breakout Override triggering. These scenarios represent high-momentum events. Instead of waiting for a retest, aggressive traders may use these specific signals to capture immediate volatility expansions, placing their stop-loss strictly on the opposite side of the newly formed AlphaTrend line. ● Automating Your Strategy For quantitative traders, the indicator handles the heavy lifting of trade logic. Ensure you configure the exact JSON payload strings required by your third-party execution platform (like 3Commas, PineConnector, etc.) in the settings. The indicator will autonomously calculate your risk/reward parameters upon every valid signal and fire a perfectly formatted JSON alert. ⚙️ Inputs and Settings • ⚙️ Core Calculations ATR Multiplier: Defines the sensitivity of the trailing line. Lower values (e.g., 0.5) track price closely for scalping; higher values (e.g., 2.0) provide wide breathing room for swing trades. ATR & MFI Lookback Period: The standard window (default 14) for calculating both volatility and volume momentum. Display Signals: Toggles the visibility of the "BUY" and "SELL" chart labels. • 🛡️ Breakout Override Enable ATR Breakout Override: Turns the momentum-shock detection system on or off. Breakout Sensitivity: Determines how large a price jump must be (relative to the ATR) to force a trend change. Lower values trigger more aggressively. • 🕐 Higher Timeframe Show HTF AlphaTrend: Projects the higher timeframe data onto the current chart. HTF Timeframe: The specific macro timeframe to monitor (e.g., Daily "D" when trading on the 1-Hour chart). • ☁️ Cloud Fill Show Cloud Fill: Toggles the visual buffer zone on the chart. Cloud Reference Length: Adjusts the smoothing period of the central reference line. Color Candles: Enables or disables the overriding of standard chart candle colors based on trend direction. • 🔌 Webhook Execution Config Payload Actions: Four distinct text fields where you can define the exact syntax your external bot requires for entering longs, entering shorts, closing longs, and closing shorts. These values are automatically injected into the dynamic JSON alert string. ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Pine Script® Indikator
von MarkitTick
3
Volatility Trail [EXCAVO]ATR Percentile Rank Painted as a Semi-Transparent Wave Beneath Every Candle The Volatility Trail takes the four-state volatility regime classification from the standard ATR-percentile model and renders it directly on the price chart as a semi-transparent wave hanging under each candle. The wave reads at a glance: blue under the candles means quiet markets, orange means heating up, red means volatility extremes. No separate indicator pane is required. This is not a basic ATR oscillator. The ATR is normalised against its own historical distribution, smoothed, and classified into four bounded regimes (Low / Normal / Elevated / Extreme) with adjustable thresholds. The on-chart trail is the same engine as the standard Volatility Percentile indicator, just drawn where you actually read price. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ HOW TO USE Step 1 → Add the indicator. A coloured wave appears beneath every candle as soon as enough history is available for the percentile lookback to be meaningful (default 200 bars). Step 2 → Read the wave colour: - Blue = Low volatility (compression, mean-reversion regime) - Grey = Normal volatility - Orange = Elevated volatility (trend regime) - Red = Extreme volatility (top decile, exhaustion risk) Step 3 → Watch transitions. A switch from blue to orange flags a breakout out of compression. A switch from red back to orange flags a release from extreme volatility - often the right side of a spike. The floating state badge to the right of the last candle shows the current regime name at a glance. Step 4 → Check the dashboard. State, raw percentile, ATR, ATR / Price, and Vol Trend show the current regime numerically. Use these to size positions and pick filters that depend on volatility. Step 5 → Combine with structure. The trail is a context tool, not a directional one - it tells you HOW volatile the market is, not WHICH way it will move. Pair it with your own setup criteria. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ HOW IT CALCULATES ◆ ATR Percentile Rank The base measure is Average True Range over the user-set length (default 14). For every bar the current ATR is ranked against its own values over the Lookback Period (default 200): percentile = 100 x rank / N. A value of 90 means current volatility is higher than 90 percent of bars in the lookback window. This normalisation makes the reading comparable across instruments and timeframes - 90th-percentile vol on BTC and on EURUSD are both rare even though their absolute ATRs differ by orders of magnitude. ◆ Smoothing The raw percentile is smoothed with a short SMA (default 3) to reduce single- bar noise. Smoothing = 1 disables this step. ◆ Four-State Classification The smoothed percentile is bucketed into four regimes: - Low = below Low / Normal boundary (default 25) - Normal = between Low / Normal and Normal / Elevated (default 25 to 60) - Elevated = between Normal / Elevated and Elevated / Extreme (default 60 to 80) - Extreme = at or above Elevated / Extreme (default 80) All three boundaries are user-adjustable. ◆ Candle-Anchored Downward Wave A semi-transparent band hangs directly under each candle. The upper edge is the bar's low, lightly EMA-smoothed so single-bar wick spikes do not poke through the ribbon. The lower edge drops below by an ATR-scaled distance: drop = ATR x (1 + percentile x Wave Distance Scale). At calm regimes the wave is a thin sliver under price; at volatile extremes it extends well below. The colour is the active state colour, and the opacity within each state band is gradient (see next item). ◆ Within-Band Opacity Gradient The wave colour is the state colour (blue / grey / orange / red), but the opacity is not flat across each state - it ramps from Min Opacity at the LOWER edge of the band (regime just entered) to Max Opacity at the UPPER edge (peak of the regime, about to graduate to the next state). So a fresh red band that just crossed into Extreme is light red, while a red band at percentile 95 is a deep saturated red. The same gradient applies inside the Low / Normal / Elevated bands. This lets you read at a glance whether the current regime is just beginning, peaking, or about to fade into the next state - approach and exhaustion are separately readable inside every band. ◆ Vol Trend ATR is compared to its 20-bar SMA. Above 1.05x SMA = RISING, below 0.95x = FALLING, else STABLE. Shown on the dashboard as a quick second-derivative read of the regime. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ WHAT MAKES IT DIFFERENT ◆ Wave Lives On The Price Chart Most volatility indicators occupy a separate pane and force the eye to jump between price action and the oscillator. The wave overlays the same regime information directly on the candles, so price and volatility are read together in one view. ◆ Adaptive Across Instruments Percentile-rank normalisation removes the absolute ATR units. A BTC chart and a EURUSD chart use the same scale (0 to 100), so the same thresholds work everywhere without manual tuning. ◆ Four Bounded Regimes Instead Of A Raw Line A raw ATR plot tells you very little until you have a feel for what is "normal" on that instrument. The four-state classification answers the question directly - quiet, normal, elevated, or extreme - using user-adjustable boundaries. ◆ Within-Band Opacity Gradient Inside each state band the wave opacity ramps from light (just-entered regime) to saturated (regime at its peak). A fresh red band reads as pale red; a deep mature Extreme reads as a saturated red. Approach and exhaustion are separately readable inside every regime, not just on state transitions. ◆ Premium Visual Polish A thin rim-light line follows the upper edge of the wave for definition, and a contrast-aware state badge floats next to the last candle showing the current regime name. The badge text colour is picked automatically by the perceived luminance of the background so the label stays readable on any state colour. ◆ Optional Bar Coloring And Background For users who want the regime even more visible, bar-coloring and background-highlight toggles tint the candles or the chart background with the active state colour. Both default off so the wave stays as the primary visual. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ DASHBOARD Real-time panel (top right) with the current regime readout: State - LOW / NORMAL / ELEVATED / EXTREME Percentile - the smoothed ATR percentile (0 to 100) ATR - raw Average True Range ATR / Price - ATR as a percentage of close (instrument-independent) Vol Trend - RISING / STABLE / FALLING based on ATR vs its 20-bar SMA Lookback - the bar count used for the percentile rank Legend table (bottom left) explains every colour. Both panels toggle in the Dashboard settings. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ SETTINGS Engine ATR Length - 14 (period for the Average True Range) Lookback Period - 200 (historical bars used for the percentile rank) Smoothing - 3 (SMA length applied to the raw percentile; 1 disables it) State Thresholds Low / Normal - 25 (boundary between Low and Normal regimes) Normal / Elevated - 60 (boundary between Normal and Elevated) Elevated / Extreme - 80 (boundary between Elevated and Extreme) Visualization Low Vol Color - blue Extreme Vol Color - red Elevated Vol Color - orange Wave Top Smoothing - 3 (EMA length applied to the wave top; 1 = raw bar low with sharp peaks, 3 to 5 rounds off single-bar spikes while staying tight to price) Wave Distance Scale - 0.025 (controls how far the wave drops below each candle as volatility rises; drop = ATR x (1 + percentile x scale); default keeps drops modest - approximately 1 ATR at Low regime, 3.5 ATR at Extreme) Min Opacity - 25 (wave opacity at the LOWER edge of every state band - just-entered regime; very transparent) Max Opacity - 55 (wave opacity at the UPPER edge of every state band - peak of the regime; visible but kept semi-transparent so the candles stay readable) Wave Top Highlight - ON (thin rim-light line along the upper edge of the wave; adds definition and a premium glow) Right-edge State Label - ON (floating badge next to the last candle showing the current state name in the state color) Bar Coloring - OFF (when ON, also tints the candles with the state color) Background Highlight - OFF (when ON, tints the chart background) Dashboard Show Dashboard - ON Dashboard Position - Top Right Show Legend - ON Alerts JSON Alerts - OFF (when ON, emits a structured JSON payload via alert()) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ ALERTS Extreme Volatility - state just transitioned into Extreme Elevated Volatility - state just transitioned into Elevated Normal Volatility - state just transitioned into Normal Low Volatility - state just transitioned into Low With JSON Alerts ON, the alert() call emits a structured payload with ticker, state, percentile, atr_pct, price, timeframe, and indicator fields - use "Any alert() function call" as the TradingView alert event to receive every state change as JSON on one alert. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Best regards, EXCAVO Disclaimer Trading involves significant risk. This indicator is a technical analysis tool and does not constitute financial advice, investment recommendations, or a guarantee of future results. Past indicator behavior does not guarantee future performance. Always use proper risk management and your own judgment.
Pine Script® Indikator
von EXCAVO
1
Bollinger Band Scalping Bollinger Bands + 8/12/26 EMA scalping system. Fires when a candle's open AND close are both outside a BB, with three EMA-based take-profits. This can generate 50–100 trades a day in volatile sessions. Optional 200 EMA trend filter so you only fade with the higher-TF trend. Auto-draws entry, SL (configurable %), TP1 (EMA 8), TP2 (EMA 12), TP3 (EMA 26). How to use: Run on 3m or 5m with above-average volume Wait for "CCSS L" / "CCSS S" labels Set limit orders at the dashed entry line, SL, and three TPs Standard exit: 33% size at each TP Best timeframes: 3m, 5m. Alerts: CCSS Long, CCSS Short.
Pine Script® Indikator
von JuliusStark
AetherEdge Multi-Feature Neural Divergence Hunter🖊️ Overview AetherEdge Multi-Feature Neural Divergence Hunter is a revolutionary divergence engine that simultaneously detects divergences across 6 independent oscillators and self-evolves neural weights based on each feature's empirical accuracy. Every feature (RSI/MACD/Stoch/CCI/MFI/MOM) detects both Regular and Hidden divergences in parallel, and Softmax-normalized dynamic weights evaluate confluence. With its 3D visual encoding (color × size × shape), the type and strength of every signal is identifiable at a glance — a next-generation divergence hunter. 🔶 Key Features 6 Parallel Oscillator Detection: RSI / MACD Hist / Stochastic / CCI / MFI / Momentum Up to 12 Divergence Variants (2 types × 6 features) tracked simultaneously Softmax Neural Weight Learning: Auto-redistribution based on empirical accuracy Reward-Based Weight Updates: Bonus for correct, penalty for wrong Confluence Counting: Separate Regular/Hidden tracking, combined for trigger 3D Visual Encoding: Color: REG Bull/Bear, HID Bull/Bear, MIXED — 5-class system Size: tiny→huge based on confluence count (5 levels) Shape: Regular=triangle, Hidden=arrow, Mixed=label Composite Neural Oscillator: Weighted average centered display Confluence Glow: Background opacity reflects strength Per-Feature Accuracy Tracking: Individual hit-rate records Dynamic Divergence Lines: Width and style identify type 🧠 Technical Architecture This indicator is a neural-weight-learning system processing 6 oscillators in parallel. Feature Normalization: RSI/Stoch/MFI: Native 0-100 MACD Hist/CCI/Momentum: Normalized to 0-100 over 100-bar range Pivot Storage Method (Pine v5 compatible): Eliminates dynamic history access by storing previous-pivot oscillator values 12 slots managed: prevPL_rsi, prevPL_macd, ... Divergence Detection (per feature): Regular Bull: Price LL + Oscillator HL Hidden Bull: Price HL + Oscillator LL Regular Bear: Price HH + Oscillator LH Hidden Bear: Price LH + Oscillator HH Distance filter: minBarsBet ≤ pivot gap ≤ maxBarsBet Neural Weight Learning: Evaluates return after rewardLook bars per signal Correct (ret > 0): w += learnRate × |ret| × 100 Wrong (ret < 0): w -= learnRate × |ret| × 50 (asymmetric penalty) Weight constraint: Softmax Normalization (temperature τ): w_i = exp((rawW_i - max) / τ) / Σexp(...) Low τ → concentrate on best; High τ → uniform Composite Neural Oscillator: nnOsc = Σ(value_i × w_i) / Σw_i - 50 3-bar EMA smoothing, 5-zone state detection 3D Visual Encoding: Color = type, Size = strength, Shape = category — 3-dimensional information transmission ⚙️ Recommended Settings & Tuning Guide Crypto Defaults: BTC (4H): pivotLen=5, minConfluence=2, learnRate=0.08 (standard) ETH (1H): pivotLen=4, minConfluence=2, rewardLook=8 SOL (high-vol): pivotLen=6, minConfluence=3, rewardLook=12 XRP (short-term): pivotLen=3, minConfluence=2, rewardLook=5 Pivot Sensitivity: pivotLen=3: high-sensitivity, noisy pivotLen=5: standard pivotLen=8–10: HTF, certainty-focused Confluence Threshold: minConfluence=1: many signals, false positives minConfluence=2: standard (recommended) minConfluence=3: curated, fewer minConfluence=4+: ultra-curated, rare Learning Parameters: learnRate=0.05: conservative, stable learnRate=0.08: standard learnRate=0.15: fast, unstable risk softmaxTemp=0.5: elite concentration (focus on best 1-2) softmaxTemp=1.5: standard (balanced) softmaxTemp=3.0: uniform (diversity) Feature Selection Strategy: Oscillator-focus: RSI + Stoch + MFI (momentum group) Trend-focus: MACD + CCI + Momentum Full parallel: All 6 ON (recommended, NN auto-curates) 💡 How to Use in Practice 5+ Confluence + REG MIXED: Strongest reversal signal (huge size emphasis) 3 REG Bull + NN 80%: High-probability reversal-buy candidate 3 HID Bull: Trend-continuation pullback buy MIXED (REG+HID): Transition zone / unstable market Neural Oscillator Usage: EXTREME OB (>35): Overheated, watch for reversal EXTREME OS (<-35): Bottom zone, watch for bounce OS zero-cross + divergence: Direction confirmation Learning Maturity Check: Per-feature Acc% > 60%: feature is reliable Acc% < 45%: feature is failing, ignore Many Pending: still learning, wait AetherEdge Synergy: SMC AI Confidence Engine: A+ zone + 5× confluence = ultimate alignment NeuraNet Predictor: Direction match + REG MIXED = double confirmation RL Signal Optimizer: CONFIDENT + divergence = strong entry All-in-One Dashboard: HIGH-CONVICTION + huge label = supreme reversal signal ⚠️ Important Notes Pivot Lag: Divergence confirms pivotLen bars later (no real-time detection) Weight Reset: Chart reload resets weight learning Learning Maturity: Per-feature Acc% reliable only after Signals ≥ 20 Overfitting Risk: High learnRate + long runtime may over-skew weights Hidden Divergence Nature: Continuation signal — avoid counter-trend misuse MIXED Interpretation: Simultaneous REG+HID = transitional confusion, be cautious Feature Disabling: Turning off unused features improves weight allocation 🚨 Disclaimer This indicator is an advanced divergence-analysis tool for educational and research purposes only and does not constitute financial advice. Neural weight learning is a stochastic optimization method and does not guarantee future profits. Divergences suggest reversal or continuation possibilities but do not guarantee outcomes. Use with thorough validation and proper risk management.
Pine Script® Indikator
von AetherEdge
MSL Trend FollowMSL Trend Follow is a market-structure trend-following indicator designed to help traders identify when price may be shifting from one directional phase to another, and then follow that phase using an ATR-based trailing stop. The indicator combines two core ideas: 1. Market structure break logic 2. Adaptive ATR trailing stop management Instead of plotting a large number of separate signals, MSL Trend Follow focuses on a cleaner workflow: detect a structural trend change, display the direction, and then provide a dynamic trailing stop line that follows the active trend. How it works The script identifies confirmed swing highs and swing lows using a pivot-based structure model. When price closes above the most recent confirmed swing high, the indicator marks a potential bullish trend shift. When price closes below the most recent confirmed swing low, it marks a potential bearish trend shift. After a trend signal appears, the indicator plots an ATR-based trailing stop: - In an uptrend, the green trailing stop line is plotted below price. - In a downtrend, the red trailing stop line is plotted above price. The trailing stop uses a ratchet mechanism. During an uptrend, the stop can only move upward. During a downtrend, the stop can only move downward. This helps the line follow the active trend without constantly moving back and forth with every minor price fluctuation. What makes it useful MSL Trend Follow is not designed to predict every candle or call every market turn. Its purpose is to give traders a structured way to read trend direction and manage the active phase after a structural breakout. The indicator may help traders answer three practical questions: - Has price shifted above or below an important structural level? - Is the current trend phase still active? - How far is price from the current trailing stop? The chart output is intentionally simple: - Green Trend signal: bullish structure shift - Red Trend signal: bearish structure shift - Green line: bullish trailing stop - Red line: bearish trailing stop - Dashboard: current trend state, signal age, and distance to stop Dashboard The dashboard gives a compact view of the current state: Trend Shows the current directional state: UP, DOWN, or NEUTRAL. Signal Age Shows how many bars have passed since the most recent trend signal. A small number means the signal is relatively fresh. A larger number means the trend phase has already been active for a longer period. To Stop Shows the current distance between price and the trailing stop as a percentage. This helps traders understand how much room price has before reaching the active stop line. How to use it A bullish scenario appears when the indicator prints a green Trend signal and starts plotting a green trailing stop below price. This means price has broken above the latest confirmed structural high and the indicator has shifted into an upward trend state. A bearish scenario appears when the indicator prints a red Trend signal and starts plotting a red trailing stop above price. This means price has broken below the latest confirmed structural low and the indicator has shifted into a downward trend state. The trailing stop can be used as a visual reference for trend continuation or trend invalidation. As long as price respects the active trailing stop, the current trend phase remains structurally intact according to the indicator logic. If price moves through the trailing stop area, the current trend phase may be weakening or ending. Suggested interpretation Stronger bullish context: - Trend state is UP - Price remains above the green trailing stop - The green stop line continues to move upward - The signal is not extremely old - The broader market context supports upward continuation Stronger bearish context: - Trend state is DOWN - Price remains below the red trailing stop - The red stop line continues to move downward - The signal is not extremely old - The broader market context supports downward continuation Weaker or more cautious context: - Price is very close to the trailing stop - The signal is very old - Market is moving sideways - Price repeatedly crosses back and forth around structural levels - Higher-timeframe direction conflicts with the current signal Settings Pivot Length Controls how major or minor the detected structure points are. Lower values make the indicator more reactive, but may create more noise. Higher values focus on larger structural swings and may produce fewer signals. Min Bars Between Signals Adds a minimum bar distance between trend signals. This can help reduce rapid flip-flopping in choppy markets. ATR Length Controls the ATR calculation used for the trailing stop. ATR Multiplier Controls how far the trailing stop sits from price. A higher multiplier creates a wider stop and fewer stop-outs. A lower multiplier creates a tighter stop and faster reaction. Signal Offset ATR Controls how far the signal label is placed from the trailing stop line. This is a visual setting only and does not change the signal logic. Best use cases MSL Trend Follow is best suited for traders who want a clean trend-following tool based on market structure and dynamic stop tracking. It can be used on different markets, including stocks, crypto, forex, indices, and commodities, but the settings should be adjusted to the asset and timeframe. Suggested timeframes: - H1 for more active trading - H4 for intraday and short swing context - D1 for broader swing trend structure The indicator is not intended to be used as a standalone trading system. It should be combined with broader market context, support and resistance, volatility conditions, risk management, and the trader’s own trading plan. Important notes This indicator does not guarantee future performance. It does not predict the market. It does not replace risk management. It is designed for market analysis and educational use. All signals should be interpreted in context. A trend signal shows that a structural condition has been met according to the indicator logic, not that a trade must be opened automatically. Markets can remain volatile, choppy, or unpredictable, and any technical tool can produce false signals.
Pine Script® Indikator
von MarketStructureLab
3
Multicator + Sweeps + IFVG + Zone Alerts by Olu777Indicator Description EMA + Liquidity Sweep + IFVG Institutional Trading Assistant A multi-purpose institutional trading indicator combining: EMA Trend Framework (13 / 21 / 34) for higher-timeframe directional bias Liquidity Sweeps to identify stop hunts, buy-side/sell-side liquidity grabs, and institutional reaction zones Inverse Fair Value Gaps (IFVGs) to detect imbalance reversals and continuation opportunities Multicator Dashboard (RSI, ATR, volume, MA data, optional overlays) for quick market context Smart Alerts for execution timing Core Trading Logic Designed around an institutional execution model: HTF Trend ↓ Liquidity Sweep ↓ Displacement ↓ IFVG Formation ↓ Retest ↓ Trade Entry What It Detects ✅ Higher timeframe trend bias EMA 13 / 21 / 34 alignment bullish or bearish market structure ✅ Liquidity Sweeps buy-side sweeps (highs raided) sell-side sweeps (lows raided) extended sweep zones for future retests ✅ Inverse Fair Value Gaps (IFVGs) IFVG beginning to form IFVG completion bullish and bearish imbalance zones ✅ Sweep Zone Retests alerts when price first touches the top of a sweep box useful for pullback / continuation entries Alert Types Bullish IFVG Beginning Bearish IFVG Beginning Bullish IFVG Completed Bearish IFVG Completed Bullish Sweep Zone Touched Bearish Sweep Zone Touched Recommended Workflow 4H: determine directional bias (EMA stack) 1H: confirm continuation / momentum 15M: execution timeframe for sweeps, IFVGs, and entries Best Use Case Optimized for: Forex scalping & intraday trading BTCUSD XAUUSD USTEC / Nasdaq Smart Money / institutional-style execution Best during: London Open NY Open Session volatility expansions Recommended Strategy 4H bias + 1H continuation + 15M liquidity sweep + IFVG completion + retest = trade entry This indicator is built to help traders identify high-probability institutional setups rather than chasing random momentum or indicator crossovers.
Pine Script® Indikator
von olujojomofe
Structure Probability Blocks [JOAT]Structure Probability Blocks Introduction Structure Probability Blocks is an open-source market structure and quality-zone overlay. It detects confirmed structure breaks, searches for the most relevant opposing candle, scores the resulting block, and highlights the strongest active block without filling the chart with redundant zones. The problem it solves is order block clutter. Many zone tools draw every candidate equally. Structure Probability Blocks filters for impulse, candle quality, relative volume, recency, and overlap so the displayed blocks have cleaner context. The enhanced chart layer also projects BOS/CHoCH break rails, impulse guide lines, and compact score labels directly beside the structure event. Core Concepts 1. Confirmed Pivot Tracking Swing highs and lows are confirmed using symmetric pivots. Because pivots require bars on both sides, this is intentionally delayed and non-repainting. 2. Break Qualification A structure break requires price to close through the tracked pivot and meet a minimum ATR-based impulse requirement. 3. Seed Candle Search After a break, the script searches backward for the best opposing candle candidate. The score considers body quality, wick behavior, volume rank, and recency. 4. Strongest Active Block Highlight Among active blocks, the highest-scored block receives stronger border and midline treatment. Weaker overlapping blocks can be removed when the overlap guard is enabled. 5. Break Rails and Impulse Guides When a qualified BOS or CHoCH forms, the indicator can draw a dashed horizontal break rail from the pivot level to the right edge and a dotted impulse guide from the selected seed candle to the break close. The on-chart tag includes score, zone range, drive, RVOL, and break price. 6. Strongest Block Ribbon The highest-scored active block is also projected as a subtle ribbon using plot/fill logic. This gives a clean strongest-zone read even when several historical boxes remain visible. Features Confirmed structure breaks: Breaks require closed-bar confirmation Quality-scored blocks: Scores combine impulse, candle structure, relative volume, and recency BOS/CHoCH context: Block labels identify continuation or character-shift context BOS/CHoCH break rails: Dashed projected levels mark the exact pivot level that price broke Impulse guide lines: Dotted guides connect the seed candle to the break close Expanded score tags: Labels show score, zone range, drive, RVOL, and break level Prime block highlight: Highest active score receives stronger visual emphasis Strongest block ribbon: Highest active zone is projected as a lightweight filled band Overlap guard: Keeps the stronger of overlapping active blocks Prime candle tint: Candles can be softly colored by the strongest active structure bias Broken block handling: Keep, fade, extend, or remove resolved blocks Top-right dashboard: Active count, bull/bear count, best score, break state, last pulse, volume rank, and break mode Alerts: New bullish and bearish quality block events Input Parameters Structure: Pivot Length: Swing confirmation sensitivity Search Span: Bars searched for a seed candle Break Impulse: Minimum ATR expansion required for a break Volume Span: Lookback used for volume rank Min Score: Minimum block quality score required How to Use This Indicator Step 1: Use the dashboard to identify current bull/bear structural bias. Step 2: Focus on the strongest highlighted active block first. Step 3: Use the dashed BOS/CHoCH rail as the exact structural break reference. Step 4: Treat broken/faded blocks as resolved context rather than fresh opportunities. Step 5: Combine with a regime or pressure tool before making directional decisions. Indicator Limitations Pivot confirmation is delayed by the pivot length, which is intentional non-repainting behavior A high block score does not imply a guaranteed reaction Volume rank can be less useful on instruments with unreliable volume The script identifies structural context, not complete risk-defined trades Originality Statement Structure Probability Blocks is original in its quality-scored seed selection, impulse qualification, overlap prioritization, prime block highlighting, and compact structural dashboard. It does not copy third-party source code. Disclaimer This open-source indicator is provided for educational and informational purposes only. It is not financial advice. Structural zones can fail, and traders should always use independent analysis and proper risk management. -Made with passion by jackofalltrades
Pine Script® Indikator
von officialjackofalltrades
London Session Breakout - Joovier GemsLondon Session Breakout London Session Breakout is a visual breakout indicator designed for traders who want a clean, mechanical way to track the pre-market London range on Nasdaq futures. This indicator marks the 3:00 AM–9:00 AM New York time range, highlights the active trading window from 9:30 AM–11:00 AM, and plots breakout signals when price closes outside the London range. The goal is simple: help traders visually identify when NQ breaks out of the London session range during the New York morning session. How It Works 1. The indicator draws a box around the 3:00 AM–9:00 AM NY time session. 2. It marks the London session high and low. 3. The New York execution window from 9:30 AM–11:00 AM is highlighted on the chart. 4. A buy signal appears when a 5-minute candle closes above the London high. 5. A sell signal appears when a 5-minute candle closes below the London low. 6. Optional entry, stop loss, and take profit lines can be displayed automatically. Trade Logic This indicator is built around a simple breakout model: * Long Signal: Candle closes above the 3:00 AM–9:00 AM range high. * Short Signal: Candle closes below the 3:00 AM–9:00 AM range low. * Entry: Breakout candle close. * Stop Loss: 5 ticks beyond the breakout candle. * Take Profit: 2R by default. * Signals Only Appear: Between 9:30 AM and 11:00 AM New York time. Features * London range box * London high and low levels * New York execution window highlight * Buy and sell breakout arrows * Optional one-signal-per-day mode * Optional entry, stop loss, and take profit lines * Adjustable stop offset and take-profit R multiple * Customizable colors, arrows, labels, and text size * Alert conditions for long, short, or any breakout Recommended Use This indicator is intended for use on the NQ 5-minute chart with extended-hours data enabled. It is best used as a visual backtesting and trade-planning tool. The indicator does not guarantee profitability and should be combined with proper risk management, market context, and your own testing. Disclaimer This script is for educational and informational purposes only. It is not financial advice. Trading futures involves risk, and past performance does not guarantee future results. Always backtest and forward-test any strategy before using it with real money.
Pine Script® Indikator
von EddyPips
Kivra Liquidity Nodes [JOAT]Kivra Liquidity Nodes Introduction Kivra Liquidity Nodes is an open-source right-edge volume profile that finds high-participation price areas inside a configurable lookback window. It distributes each bar's volume across price rows, smooths the result, highlights the point of control, and labels local liquidity nodes. The problem it solves is volume context. A raw profile can show where trading occurred, but it often becomes visually heavy. Kivra Liquidity Nodes keeps the profile compact, separates bullish and bearish participation estimates, and prioritizes POC, value area, and node labels. The profile is offset to the right of price, while the lookback range and value area remain visible on the active chart so the levels have context. Core Concepts 1. Price-Overlap Volume Allocation Each bar contributes volume to every row it overlaps. This makes the profile more representative than assigning all volume to a single close price. 2. Participation Split The script estimates bullish and bearish participation from candle direction and close location inside the bar range. This is a proxy designed for visual context, not bid/ask delta. 3. Smoothed Node Detection Profile rows are smoothed with neighboring rows. Local peaks above an average-volume threshold become liquidity nodes. 4. Value Area Expansion The value area expands from the POC until the selected portion of total profile volume is covered. 5. Context Bands and Candle Tinting The script shades the full lookback range, marks the value area across the live price region, draws node bands across the profiled window, prints VAH/VAL and POC labels far to the right of the profile to avoid overlap, and can tint candles using a pressure blend from trend location and candle direction. Features Right-edge profile: Clean horizontal profile projected to the right of the chart POC line and label: Dashed level marking the highest-volume row POC line and label: Dashed level marking the highest-volume row with price and row volume VAH and VAL labels: Right-edge value-area high and low labels with dotted guide lines Value area boxes: Shaded profile zone plus live-chart value band across the lookback Lookback range box: Subtle range boundary around the profiled window Bull/bear split bars: Row coloring estimates directional participation Node labels: Local high-volume nodes with participation share and volume Node bands: High-participation node rows project back across the profiled price window Offset label rail: POC, VAH/VAL, and node labels are projected beyond the histogram so they do not sit on top of the profile Pressure candle tint: Candles can be softly colored from bearish red to bullish green using trend location and candle direction No-volume fallback: Uses range proxy when reliable volume is not available Top-right dashboard: POC, node count, value area width, bias, range, and source Input Parameters Calculation: Lookback Bars: Historical bars used for the profile Profile Rows: Vertical resolution of the profile Profile Width: Maximum right-edge width Profile Offset: Distance from current bar to the profile Value Area Portion: Portion of total profile volume included in value area Node Threshold: Required row strength for node detection Node Merge Gap: Distance allowed between merged node peaks Max Node Labels: Maximum labels drawn for detected nodes How to Use This Indicator Step 1: Use the POC as the dominant participation level in the current lookback. Step 2: Use the value area to understand where volume is concentrated. Step 3: Watch VAH and VAL as acceptance/rejection boundaries. Step 4: Watch labeled nodes as potential reaction or acceptance zones. Step 5: Read the dashboard bias and candle tint as context, not as standalone entry signals. Indicator Limitations Bull/bear participation is an estimate based on candle structure, not exchange bid/ask data The profile is recalculated on the latest bar and depends on the selected lookback High node count can add visual density on small screens Volume data quality varies by market and symbol Originality Statement Kivra Liquidity Nodes is original in its compact right-edge implementation combining overlap-based volume allocation, smoothed node detection, value area expansion, participation split visualization, and no-volume fallback logic. It does not copy third-party source code. Disclaimer This open-source indicator is provided for educational and informational purposes only. It is not financial advice. Volume nodes identify historical participation zones and do not guarantee future reactions. -Made with passion by jackofalltrades
Pine Script® Indikator
von officialjackofalltrades
[3Commas] UNI Vault Grid - UNI - Indicator UNI Vault Grid — UNI — Indicator 🔷 What it does: This indicator is the visual + signal-only companion to the static geometric grid strategy for Uniswap (UNI/USDT). It draws all 57 grid levels on the chart, fires Buy and Sell signals on each close-cross event, tracks a virtual P&L card (simulating what the matching strategy would have done), and ships webhook alerts for routing signals to a connected grid bot. Use it when you want the grid logic running on your chart without strategy.* engine — for visual confirmation, manual entries, or external bot routing. - 57 geometrically-spaced levels between Low (2.979) and High (4.171) drawn as horizontal lines - Buy / Sell labels printed at each level on cross events - Virtual P&L tracker mirrors the strategy version's bookkeeping - Static range — grid does NOT shift up when price exits the band (trailing-up disabled) - Webhook-ready alert payload for connected grid bot 🔷 Who is it for: Traders who want to visualize the grid and signal layer on their chart without running the strategy engine. Bot operators routing signals from TradingView alerts to a connected grid bot via webhook. Discretionary swing traders who want grid levels as decision support while executing manually. Users comparing live signal flow against backtested behavior of the matching strategy publication. 🔷 How does it work: Grid Construction: On the first bar, the indicator pre-computes 57 price levels between Low (2.979) and High (4.171) using geometric spacing (≈ 0.61% step). Each level is drawn as a horizontal line — green for the lowest, red for the highest, aqua for the middle levels. Signal Generation: On every confirmed bar, the indicator checks each level for a close-cross-down (Buy signal) or close-cross-up (Sell signal) against the next level above. A label is printed at the level on each cross. Buy labels are aqua, Sell labels are fuchsia and include the realized virtual P&L. Virtual P&L Tracker: The indicator maintains its own bookkeeping that mirrors the strategy version — when a Buy level fills, qty is recorded; when the next-up Sell level crosses, the per-level P&L is added to the virtual net. Stats card displays Net P&L, Max Drawdown, Total Fills, Win Rate, and Profit Factor. Webhook Alerts: A grid_start JSON payload (Bot ID, Email Token, Pair) is fired once when the first bar enters the configured backtest window. This is informational — grid bots are typically configured on the bot interface directly. 🔷 Why it's unique: Identical grid math to the strategy publication — same 57 levels, same step, same cross-detection logic. The virtual P&L card lets you see live what the strategy version is doing in backtest, but on an indicator pane (no strategy.* engine, no order fills). Static range fidelity — no trailing-up. The grid stays locked exactly where you configured it, which makes risk envelope easy to reason about before deploying capital. Brand watermark + stats overlay — consistent visual layer with all other 3Commas Vault Grid publications. 🔷 Considerations Before Using the Indicator: Market & Timeframe: Calibrated for a 15-minute chart on UNI/USDT spot pairs. The runtime warning label flags any TF other than 15m. Higher TFs produce far fewer fills; lower TFs (1m, 5m) generate more signals but slow chart rendering. Limitations: The indicator does NOT place orders — it only signals. If you wire the alerts to a grid bot, the bot is responsible for executing entries and exits. The virtual P&L card is an in-indicator simulation only, not a real account P&L. It does not include funding, slippage, or partial fills. Backtesting & Demo Testing: The strategy version is the canonical reference for realized backtest performance (with commission, slippage, and the strategy engine's order book). This indicator's virtual P&L is a useful estimate but cannot replace the strategy tester report. Demo-trade your bot for at least one month before any live deployment. Parameter Adjustments: The grid range, level count, and per-level amount should be re-evaluated for each deployment period. UNI's "fair range" shifts over time — a grid calibrated for one regime may not work for the next. The default 2.979 — 4.171 envelope reflects UNI's recent volatility band as of publication. 🔷 INDICATOR SETTINGS Grid High Price — Upper boundary of the grid range (default 4.171). Grid Low Price — Lower boundary of the grid range (default 2.979). Grid Levels — Total number of price levels (default 57). Grid Mode — Geometric (constant % spacing) or Arithmetic (constant absolute spacing). Amount per Level (USDT, ref) — Notional per fill (default 175.44) — used for virtual P&L only. Trailing Up — Disabled by default. Enables adaptive grid behavior on breakout (off keeps grid static). Trail Up Threshold % — % above High at which trailing fires (only used if Trailing Up enabled). Shift Up Magnitude % — How much of the current range to shift when trailing-up fires. Limit by Date Range — Constrain virtual backtest to a specific date window (default Jan 19 — May 19 2026). Initial Capital (USDT, ref for % calc) — Used to convert virtual P&L into a % figure on the stats card. Show grid lines on chart — Toggle horizontal level lines (red top, green bottom, aqua middle). Show fill labels on chart — Toggle Buy / Sell labels printed on each cross. Show stats card — Toggle the on-chart virtual backtest summary. Stats card position — Where to anchor the stats card. Show watermark — Toggle the brand watermark. Watermark text / position / size / transparency — Controls for the watermark overlay. Recommended TF (for warning) — Timeframe baseline for runtime warning (default 15m). Webhook (Grid Bot) — Bot ID, Email Token, Pair label for signal routing. 🔷 ALERTS grid_start — Fires once when the first bar enters the configured backtest window. Webhook-ready JSON payload with Bot ID, Email Token, and Pair label. 🔷 RELATED PUBLICATIONS Strategy version (with full Strategy Tester backtest report): [https://www.tradingview.com/script/Dc5iUh2F-3Commas-UNI-Vault-Grid-UNI-USDT/ 👨🏻‍💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented. __ The information and publications within the 3Commas TradingView account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc.
Pine Script® Indikator
von 3Commas
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