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Trend Maturity Ladder [AGPro Series]Trend Maturity Ladder 🧠 Core Idea Is the trend still early, healthy, mature, stretched, or vulnerable to exhaustion? 📌 Overview / What it does Trend Maturity Ladder is a trend lifecycle visualization tool built to classify the stage of an active trend. The script builds a staged trend ladder, maps a healthy pullback shelf, marks an invalidation shelf, tracks maturity score, evaluates extension, identifies exhaustion risk, and summarizes the current lifecycle state in an AG Pro panel. It does not predict price direction, automate trades, or claim that a mature trend must reverse. It is a structured decision-support tool for reading trend stage, pullback quality, and late-trend risk. 🎯 Purpose & Design Philosophy Many trend tools answer only one question: Is price trending? This script was built to answer a more useful question: Where is the trend in its lifecycle? The design goal is to help traders separate early trend development, healthy continuation, mature structure, stretched extension, and invalidation pressure. ⚡ Why This Script Is Different Most trend tools focus on moving average direction, ribbon color, or generic trend strength. This script does NOT act as another trend-strength meter or moving-average ribbon. Instead, it models the trend as a ladder with stages: early trend, active trend, mature trend, stretched trend, exhaustion watch, and invalidation pressure. It combines trend alignment, slope, ADX, distance from the slow trend reference, trend age, pullback depth, and momentum risk into one visual lifecycle map. ⚙️ Methodology 1. Context Detection The script checks fast, slow, and anchor trend alignment to determine whether the market has a bullish trend, bearish trend, or mixed structure. 2. Maturity Scoring It scores trend age, ATR-adjusted extension, slope, ADX, and moving-average alignment to estimate how mature the trend is. 3. Pullback Evaluation It builds a healthy pullback shelf around the trend references and checks whether price is pulling back without breaking the broader ladder. 4. Exhaustion and Invalidation Review It identifies late-trend extension risk and invalidation pressure when price closes through the trend shelf. 5. Visual Output The chart displays maturity ladder zones, pullback shelves, invalidation shelves, trend rails, event labels, right-side tags, alerts, and a compact AG Pro panel. 🗺️ How to Read the Chart Trend Maturity Ladder = the active lifecycle zone around the current trend. Healthy Pullback Shelf = the area where pullbacks can remain structurally constructive. Invalidation Shelf = the area where the trend ladder becomes vulnerable. Trend Rails = fast, slow, and anchor trend references. EARLY TREND = trend alignment is fresh. ACTIVE TREND = trend structure is aligned and still developing. MATURE TREND = trend has aged and expanded meaningfully. STRETCHED TREND = the trend is extended relative to its slow reference. EXHAUSTION WATCH = maturity, extension, and momentum conditions suggest late-trend risk. INVALIDATION PRESSURE = price has closed through the invalidation shelf. Panel = summarizes trend stage, maturity score, direction, pullback health, exhaustion risk, age, extension, and next context. 🚦 Signals & States • EARLY TREND → trend alignment is fresh and still developing. • ACTIVE TREND → trend is aligned and not yet deeply mature. • MATURE TREND → trend has aged and expanded. • STRETCHED TREND → price is extended from the slow trend reference. • HEALTHY PULLBACK → price has pulled into the trend shelf without invalidating it. • EXHAUSTION RISK → maturity, extension, and momentum risk are aligned. • INVALIDATION PRESSURE → price has closed through the invalidation shelf. • NO CLEAR TREND → fast, slow, and anchor references are not aligned. 🔔 Alerts Logic Alerts trigger when a major trend lifecycle state appears. • Trend Maturity Transition → the active trend stage changes. • Healthy Trend Pullback → price pulls into the healthy trend shelf without invalidating the ladder. • Trend Exhaustion Risk → maturity, extension, and momentum conditions align. • Trend Invalidation Pressure → price closes through the invalidation shelf. Alerts are attention markers, not trade instructions. 🧩 Confluence Logic The context becomes stronger when: • Fast, slow, and anchor trend references align • The slow reference has directional slope • ADX supports directional structure • Pullbacks respect the healthy shelf • Extension is not excessively stretched • The panel state agrees with the chart label Late-trend caution increases when maturity, extension, and RSI pressure align. 📊 When to Use • Trend-following review • Pullback continuation planning • Late-trend risk monitoring • Crypto, stocks, futures, forex, and liquid markets • 30m, 1H, 4H, 1D, and 1W charts • Markets where trend structure is visible ⚠️ When NOT to Use • Very choppy, non-directional markets • Low-liquidity assets • Extremely noisy micro timeframes • Markets with frequent gaps that distort trend references • Situations where a single trend score should not be over-interpreted • When the user wants guaranteed entries or exits 🎛️ Key Inputs • Fast Trend Length → controls short-term trend pressure. • Slow Trend Length → controls the main maturity reference. • Anchor Trend Length → filters weak or mixed trend regimes. • ATR Length → controls ladder spacing, extension scoring, and label offsets. • Early Trend Max Age → defines how long a fresh trend can remain early. • Mature Trend Age → defines when age contributes strongly to maturity. • Stretched Distance ATR → defines when trend extension becomes stretched. • Healthy Pullback Width ATR → controls the pullback shelf thickness. • Invalidation Shelf ATR → controls the distance of the invalidation shelf. • Exhaustion RSI Level → adds momentum pressure to exhaustion-risk logic. 🖥️ Interface & Visual Design The visual hierarchy is built around the trend lifecycle: The ladder shows the active maturity zone. The pullback shelf shows where continuation can be evaluated. The invalidation shelf shows where the trend becomes vulnerable. Event labels mark lifecycle transitions and risk states. Right-side tags keep the current trend stage visible. The AG Pro panel compresses the current trend lifecycle into a fast, readable summary. 🧪 Practical Usage Workflow 1. Read the panel trend stage. 2. Check whether trend direction is aligned. 3. Locate the healthy pullback shelf. 4. Watch whether price respects or breaks the shelf. 5. Check maturity score and exhaustion risk. 6. Confirm with market structure, liquidity, volume, and risk planning. 🔍 Interpretation Guidelines An early trend does not guarantee continuation. A mature trend does not guarantee reversal. Exhaustion risk does not mean price must immediately turn. Invalidation pressure means the current ladder structure has weakened. The script is best used to understand trend lifecycle context, not to replace independent analysis. 🚫 What This Script Is NOT This script is not a prediction engine. It is not financial advice. It is not an auto-trading system. It does not provide guaranteed entry or exit signals. It is not a moving-average ribbon or a simple trend-strength meter. ⚠️ Limitations & Transparency Trend stages depend on timeframe. Choppy markets can create frequent stage changes. Strong news moves can stretch trend references quickly. Low-liquidity markets may create unreliable trend readings. Different assets may require different trend lengths. 🧠 Market Context Notes Trends often move through recognizable phases: alignment → expansion → maturity → extension → pullback or invalidation. This script visualizes that sequence so the user can avoid treating every trend as equally fresh. 🧾 Use Case Examples If trend references align shortly after a transition, the script may classify EARLY TREND. If price pulls into the shelf while the ladder remains intact, the script may mark HEALTHY PULLBACK. If the trend becomes aged and extended while RSI is stretched, the script may mark EXHAUSTION RISK. If price closes through the invalidation shelf, the script may mark INVALIDATION PRESSURE. 🧱 System Philosophy The goal is not to chase trend strength. The goal is to understand trend timing. This script treats trend as a lifecycle: early → active → mature → stretched → vulnerable. 🔐 Non-Promise Statement No trend stage guarantees future price direction. No pullback shelf guarantees continuation. No exhaustion label guarantees reversal. All outputs should be interpreted as analytical context. 📉 Risk Disclosure Trading involves risk. This script is for educational and analytical purposes only. It does not provide financial advice, investment advice, or guaranteed trading outcomes. Users are fully responsible for their own decisions, risk management, and trade execution. 📚 Educational Note Use the script to study where trends tend to age, stretch, reset, or fail. The most important question is not only whether a market is trending. The better question is whether the trend is still fresh enough to deserve attention.
Pine Script®指标
由AGProLabs提供
Squeeze Bollinger Bands Tracker [MarkitTick]💡 This institutional-grade analysis suite provides a sophisticated volatility-tracking environment designed to identify market compression phases and high-conviction breakouts. By integrating Bollinger Band standard deviation logic with Z-Score normalization and a non-linear sigmoid volatility engine, the script transforms raw price action into a multi-dimensional heatmap. This approach allows traders to distinguish between low-volatility "coiling" phases and institutional-driven momentum expansions, providing a clear visual representation of market energy. ● ✨ Originality and Utility The Squeeze Bollinger Bands Tracker distinguishes itself through the implementation of a proprietary "Signal Engine" and a non-linear volatility grading system. Unlike standard Bollinger Band indicators that merely plot static lines, this tool actively monitors the rate of change in channel width relative to its own historical standard deviation. • Dynamic Volatility Normalization Most indicators rely on linear calculations that fail to account for the exponential nature of market expansion. This script utilizes a Z-Score calculation to determine how extreme a volatility move is compared to its history, then maps that value through a sigmoid function. This creates a "Heatmap" effect on the candles that reflects institutional participation levels rather than simple price movement. • Institutional Breakout Grading The utility is further enhanced by an automated grading system (Grades A, B, and C). By cross-referencing price spread (the distance between open and close) with actual volume metrics during a breakout, the script provides an objective measure of signal quality, helping traders filter out "fakeouts" that lack volume support. ● 🔬 Methodology and Concepts The logic flow is divided into three core analytical pillars: Compression Detection, Momentum Normalization, and Signal Verification. • Compression Detection (The Squeeze) The script calculates the percentage-based width of the Bollinger Bands. When the current width falls below its SMA-based average, the market is classified as being in a "Squeeze" state. This signifies a period where market energy is being stored, often preceding a significant directional expansion. • Sigmoid-Mapped Z-Score Volatility To provide the neon heatmap coloring, the script calculates the Z-Score of the channel width. This tells us how many standard deviations the current volatility is from the mean. This Z-Score is then processed through a Sigmoid Function: 100 / (1 + exp(-Z-Score)). This mathematical transformation squashes the infinite Z-Score range into a 0–100 scale, creating a smooth gradient for the "True Institutional Heatmap." • Breakout Validation Engine Signals are not generated simply on a price cross. The Signal Engine (a custom User-Defined Type) calculates real-time Entry, Stop Loss (based on the previous basis line), and Take Profit levels. During the moment of crossover, the "calcGrade" method evaluates if the current bar's spread and volume are at least 150% of their historical averages to assign a Grade A "Institutional" breakout. ● 🎨 Visual Guide The visual interface is designed with a high-contrast "3D Neon" aesthetic to ensure critical data points are immediately recognizable during fast-moving market conditions. • The 3D Neon Channels Upper Core & Glow: The upper Bollinger Band is rendered in Cyan (#00FFFF). It features three layers: a 2-pixel core for precision and two wider "Glow" layers with varying transparency (60% and 85%) to create a neon effect. Lower Core & Glow: The lower band is rendered in Magenta (#FF00FF), following the same three-layer glow architecture to signify the support boundary. Basis Core: The central moving average is rendered in Yellow (#FFFF00), acting as the dynamic mean and the primary stop-loss anchor. • True Institutional Heatmap Candles The candle colors are not fixed; they represent a gradient based on the Sigmoid Volatility score. Bullish State: Transitions from a deep "Cold" Forest Green (#004D40) during low-volatility rises to a "Hot" Neon Green (#00FF00) during high-momentum surges. Bearish State: Transitions from a deep "Cold" Purple (#4A148C) during low-volatility drops to a "Hot" Neon Red (#FF0000) during aggressive sell-offs. Neutral State: Gray (#808080) candles appear when no definitive trend state is identified by the Signal Engine. • Analytical Dashboard and Labels Buy/Sell Labels: When a breakout occurs, a Cyan or Magenta label appears. It displays the signal Grade (A, B, or C) and the calculated E (Entry), TP (Take Profit), and SL (Stop Loss) values. Institutional Analytics Dashboard: Located in the top-right, this table provides real-time data on Trend Maturity (in bars), Volatility State (Squeeze vs. Expanding), and the percentage proximity to the upper and lower breakout levels. ● 🔍 Deconstruction of the Underlying Scientific and Academic Framework The indicator is built upon the foundation of Statistical Process Control and Information Theory. By treating price movement as a signal-to-noise problem, the script uses the following frameworks: • Standard Deviation and Gaussian Distribution The core of the Bollinger Band calculation relies on the assumption that price spends approximately 95% of its time within two standard deviations of the mean. The "Squeeze" logic identifies periods where the distribution is abnormally tight, suggesting an imminent return to the mean or a "Fat Tail" event (a breakout). • Z-Score Normalization In statistics, the Z-Score is used to compare observations from different data sets or time periods. By applying Z-Score logic to the width of the bands, the indicator removes the "unit" of price and focuses purely on the intensity of the volatility, allowing for a standardized comparison across different assets (e.g., Bitcoin vs. Apple). • Non-Linear Sigmoid Mapping The use of the Sigmoid function (common in Neural Network activation) serves to eliminate outliers in volatility data. This ensures that the candle heatmap provides meaningful color variations even during extreme "Black Swan" events, preventing the visual output from becoming saturated or unreadable. ● 📖 How to Use Traders should focus on the transition between market states as displayed by the Analytics Dashboard and the Heatmap. • Step 1: Identify the Squeeze Monitor the "Volatility State" in the dashboard. When it displays "⚠️ SQUEEZE" in Neon Orange, the market is coiling. This is the preparation phase where no trades should be taken. • Step 2: Evaluate the Breakout Grade Wait for a "BUY" or "SELL" label to appear. Priority should be given to "Grade A" signals, as these indicate that both price spread and volume have significantly exceeded their 20-period averages, confirming institutional intent. • Step 3: Execution and Risk Management Upon a valid signal, the script provides an automated trade plan. The Stop Loss is set at the Basis (Yellow) line from the previous bar to allow for minor breathing room, while the Take Profit is projected at a 1:1 ratio relative to the width of the band at the time of entry. ● ⚙️ Inputs and Settings The script provides granular control over the analytical engine and the visual experience. • Channel Settings Channel Length: Controls the SMA window for the Bollinger Bands (Default: 20). Standard Deviation Multiplier: Adjusts the width of the neon boundaries (Default: 2.0). • Analytics Settings Squeeze/Z-Score Length: Determines the lookback period used to define what constitutes "average" volatility (Default: 50). Quality SMA Length: Defines the window for the Grade A/B/C volume and spread verification (Default: 20). • Color and Heatmap Settings Users can fully customize the Neon Upper/Lower colors, the Dashboard background transparency, and the specific "Cold" and "Hot" thresholds for the candle gradient engine to match their preferred dark or light chart theme. ⚠️ 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®指标
由MarkitTick提供
SPY Market Cycle Bias (Risk-On vs Risk-Off) A simple but powerful market regime indicator designed to help traders align with the broader market trend using the relationship between the daily 20 EMA and 50 EMA of SPY (S&P 500 Index) This indicator identifies whether the overall market environment is in a bullish or bearish cycle by monitoring the trend structure of SPY — one of the most widely followed market benchmarks. Instead of relying solely on individual stock price action, this tool helps traders determine whether the broader market is supportive of long-side momentum and swing trading. How It Works The indicator compares: Daily EMA 20 Daily EMA 50 Market bias is determined as follows: Bullish Cycle → EMA 20 > EMA 50 Bearish Cycle → EMA 20 < EMA 50 A real-time dashboard displays the current market regime directly on the chart. Why It’s Useful Many traders focus only on individual stock setups while ignoring the broader market environment. However, market regime often has a major influence on: breakout success rates, momentum continuation, volatility behavior, and overall trade expectancy. This indicator helps traders: stay aligned with the dominant market trend, reduce exposure during weak market conditions, improve trade selection, and avoid forcing aggressive longs during bearish cycles. Practical Applications Example framework: SPY EMA20 > EMA50 → focus on long setups SPY EMA20 < EMA50 → defensive positioning / reduced risk Many professional traders use market regime filters similar to this to improve consistency and reduce low-quality trades during unfavorable market conditions.
Pine Script®指标
由Kamaalique提供
Breakeven Review Planner [AGPro Series]Breakeven Review Planner 🧠 Core Idea Has the move progressed enough to review breakeven protection, or is the context still too early, weak, or exposed? 📌 Overview / What it does Breakeven Review Planner is a trade-management overlay designed to evaluate post-activation move progress. Instead of asking users to manually draw a full entry, stop, and take-profit plan, the script detects a qualified directional move, anchors an activation reference, builds a structural invalidation shelf, and measures live R progress from that context. The output is a clean breakeven review workflow: a BE review zone, activation reference, invalidation shelf, current R reading, trend-support state, pullback-risk state, event labels, alerts, and a premium AGPro panel. It does not predict price direction, place trades, calculate position size, build a take-profit ladder, or tell users to move a stop. Alerts and labels are attention markers for review context only. 🎯 Purpose & Design Philosophy This script was built for traders who already manage active moves and need a cleaner way to evaluate whether the move has earned a breakeven review. The gap it fills is not pre-trade risk/reward planning. AGPro already has tools for that. This script focuses on the management phase after a move is active: progress, structure, trend support, and pullback risk. The design supports a disciplined review mindset. It helps users read whether the chart has built enough progress to deserve attention without turning that review into an automated instruction. ⚡ Why This Script Is Different Most risk/reward tools focus on manual entry, stop-loss, targets, position sizing, and breakeven probability. This script does NOT build a full trade plan, does NOT create TP ladders, and does NOT tell users to move a stop. Instead, it watches the live chart for a qualified management context, scores the move's progress toward a breakeven review threshold, and keeps the user focused on whether the current structure is strong, weak, stale, or invalidated. ⚙️ Methodology 1. Context Detection The script detects directional activation when price escapes recent structure with enough ATR-normalized impulse, candle commitment, close-location quality, and trend support. 2. Reference Mapping After activation, the script anchors an activation reference and builds an invalidation shelf from the latest confirmed swing plus an ATR buffer. 3. Reaction Evaluation The engine measures current R, best favorable R, trend support, candle quality, volatility fit, and pullback depth after progress. 4. Visual Output The chart displays the BE review zone, progress fill, context lines, event labels, candle tint, alerts, and the AGPro panel. 🗺️ How to Read the Chart Zones = the BE review area around the configured R trigger. It is a review zone, not a command. Labels = context markers such as armed context, progress milestones, BE review, pullback watch, stale context, and invalidation. Colors = teal for bullish-supported context, pink for bearish or invalid context, amber for caution, and indigo for breakeven review focus. Panel = the current decision cockpit. It shows Review Score, Current R, BE Trigger, Progress State, Trend Support, and Action. 🚦 Signals & States • Bull Context Armed → a bullish management context was activated after structure escape. • Bear Context Armed → a bearish management context was activated after structure escape. • BE Review Active → current progress reached the configured R threshold for breakeven review. • Review + Pullback → price reached review progress but has pulled back enough to require closer attention. • Stale → the context spent too many bars without enough progress. • Invalidated → price reached the structural invalidation shelf. 🔔 Alerts Logic Alerts trigger when a new management context activates, the BE review zone is reached, the review quality is high, pullback risk increases after review progress, the invalidation shelf is reached, or the context becomes stale. Alerts are attention markers. They are not trading instructions, broker actions, or automated stop-management commands. 🧩 Confluence Logic The strongest review context appears when R progress, trend support, candle close quality, controlled pullback depth, and normal volatility fit align. When these conditions align, the Review Score rises and the panel state becomes easier to interpret. 📊 When to Use • Active directional moves after structure expansion • Trend continuation environments • Breakout follow-through review • Trade-management review after favorable progress • Charts where users want R-style context without a full manual RR planner ⚠️ When NOT to Use • Very low-liquidity symbols • Extremely noisy ranges • News shock candles with distorted ATR behavior • Non-standard chart types that alter candle structure • Situations where the user needs exact broker-level stop management 🎛️ Key Inputs • Sensitivity → changes how quickly or strictly the script activates a management context. • Structure Lookback → controls the recent structure boundary used for activation. • BE Review Trigger (R) → sets the R threshold for review-zone activation. • Invalidation Shelf Buffer ATR → controls how much ATR padding is added beyond the latest swing. • Pullback Warning Depth (R) → controls when post-review pullback risk is marked. • Visual settings → control labels, zones, progress fill, line extension, candle tint, and object limits. • Panel settings → control panel visibility, location, theme, and font size. 🖥️ Interface & Visual Design The panel follows the AGPro public-release standard with one merged blue header row containing only the script name. The chart is designed to stay active but not crowded. It uses a single review zone, clean context lines, a subtle progress fill, and capped event labels. Label and panel font sizes are adjustable, with Normal as the default. 🧪 Practical Usage Workflow 1. Read the panel Review Score and Progress State. 2. Check whether price is below, inside, or beyond the BE review zone. 3. Compare Current R with best favorable R to understand whether progress is expanding or pulling back. 4. Confirm whether trend support is still aligned. 5. Treat alerts as review prompts, not as automated trade actions. 🔍 Interpretation Guidelines A high score means the move has progressed toward the review zone with stronger internal structure according to the script's rules. A low score means the move is early, weak, stale, pulling back, or structurally invalidated. The most useful interpretation comes from reading score, state, trend support, and invalidation together instead of relying on a single label. 🚫 What This Script Is NOT • Not a prediction engine • Not financial advice • Not auto trading • Not guaranteed signals • Not a position sizing calculator • Not a manual risk/reward visualizer • Not a take-profit planner ⚠️ Limitations & Transparency The activation model is rule-based and depends on recent structure, ATR, candle behavior, and trend filters. Different timeframes can produce different activation references and invalidation shelves. Fast volatility expansion can make R progress move quickly, while low volatility can keep contexts stale. No rule-based tool can know a user's actual broker order, risk tolerance, or execution plan. 🧠 Market Context Notes Breakeven review is most useful when progress, structure, and volatility are read together. A move can reach a review zone while still having weak trend support or heavy pullback risk. The script is designed to keep those differences visible. 🧾 Use Case Examples When price breaks recent structure, trend support is aligned, and current R approaches the BE review threshold, the panel may shift from Building to Approaching Review. When current R reaches the configured BE trigger and the score is strong, the script marks the review zone and can trigger a high-quality review alert. When best favorable R was strong but current R pulls back by the configured amount, the script marks Pullback Watch instead of treating the move as automatically healthy. 🧱 System Philosophy The AGPro approach is to turn chart information into structured decision context. This script follows that philosophy by converting move progress into a clean review framework: activation, invalidation, R progress, trend support, pullback risk, and next review state. 🔐 Non-Promise Statement This script does not provide certainty. It does not guarantee that a breakeven review will improve trade outcome. It only organizes the conditions that may make breakeven review context more visible. 📉 Risk Disclosure Trading involves risk. Users are responsible for their own analysis, execution, risk management, and decisions. This script is for educational and analytical purposes only and does not provide financial advice. 📚 Educational Note Use the tool to study how active moves progress, stall, pull back, or invalidate around a structured management threshold.
Pine Script®指标
由AGProLabs提供
Chandelier Exit Flip Zones [AGPro Series]Chandelier Exit Flip Zones Chandelier Exit Flip Zones is a premium ATR trailing-stop and exit-state engine built for traders who want more than a simple stop line on the chart. The script takes the classic Chandelier Exit concept and turns it into a structured decision layer: Chandelier trail -> trail-side flip -> flip quality -> continuation state -> exit-pressure awareness The result is a clean public-free tool for reading trend continuation, trailing-stop pressure, and Chandelier flip transitions without turning the chart into a crowded signal board. 📌 Why This Script Exists Chandelier Exit is one of the most practical and searched trailing-stop concepts because it connects trend direction with volatility. Many traders use it to trail positions, judge when momentum is still holding, or identify when price is starting to lose distance from its active stop area. Most Chandelier tools stop at the line. This script adds the missing context: - Which side of the Chandelier trail is active? - How far is price from the trail in ATR terms? - Was the latest trail flip strong or weak? - Is the market still in continuation mode? - Is price compressing back into an exit-watch area? - Did the transition create a clean forward flip zone? That extra layer is what makes the script more useful than a standard ATR trailing-stop overlay. ⚡ What Makes It Different From Standard Chandelier Exit Indicators Most public Chandelier Exit indicators are visually simple. They usually plot a long stop, a short stop, and sometimes a basic flip marker. Chandelier Exit Flip Zones is built around a stronger reading model. It evaluates each trail flip through a quality score that combines: - Trail-break strength - EMA trend agreement - Range expansion - Candle close location - Optional volume participation This means the script does not treat every flip equally. A weak flip inside chop is not presented with the same weight as a cleaner transition with better structure, stronger expansion, and better directional agreement. The script also uses quality-filtered Flip Zones. These boxes are not generic support and resistance areas. They are drawn around the Chandelier transition area where price breaks the previous trail and establishes a new active side. The purpose is to mark the actual trail-flip area, not to fill the chart with unrelated levels. 🧭 How It Is Different From Other AGProLabs Scripts This script was intentionally kept in a narrow Chandelier Exit lane so it does not overlap with other AGProLabs public releases. It is not a SuperTrend script. SuperTrend logic is built around a different volatility-band mechanism, while this tool is built around Chandelier high/low structure anchors and ATR trail distance. It is not an ATR compression or ATR breakout script. Those concepts focus on volatility contraction, breakout pressure, or expansion behavior. This script focuses on the active trailing-stop side, distance from the Chandelier trail, and exit-state awareness. It is not a generic trend dashboard. The panel is compact and centered on trail side, ATR multiple, distance, flip quality, and continuation or exit-watch state. It is not a support/resistance zone engine. The only zones are concept-native Flip Zones created from qualified Chandelier trail transitions. This keeps the script differentiated, practical, and publication-safe inside the AGPro Series catalog. ✅ Core Features - Chandelier Exit trail based on ATR distance and recent structure anchors - Long-side and short-side trail state - Bullish and bearish trail-flip detection - Flip quality score from 0 to 100 - Prime, qualified, and developing flip classifications - ATR distance from the active trail - Percentage distance from the active trail - Continuation, control, and exit-watch state logic - Quality-filtered forward Flip Zones - Optional exit-watch labels, disabled by default for a cleaner public view - Label cooldown and maximum label controls - Maximum visible zone control - Adjustable label font size - Adjustable panel font size - Adjustable panel location - Dark, light, and auto panel theme options - AGPro-style panel with a single merged blue header row - Alerts for bullish flips, bearish flips, prime flips, and exit-watch conditions 📊 Panel Readout The panel is designed to give a fast read without visual overload: Trail Side Shows whether the active Chandelier trail is currently long-side or short-side. ATR Multiple Shows the volatility multiple used by the current trail. Distance Shows how far price is from the active trail in both ATR and percentage terms. Flip Quality Displays the most recent flip score and classification. State Classifies the current condition as continuation, control, or exit watch. 🎯 How To Read It A strong Chandelier flip means price has crossed the prior active trail with enough quality to deserve attention. The score helps separate cleaner transitions from weaker flips in noisy conditions. A continuation state means price has moved far enough from the active trail and still has trend agreement behind it. This is the cleaner trend-following condition. A control state means price is on one side of the trail, but the continuation profile is not yet strong enough to classify as a high-conviction continuation read. An exit-watch state means price has compressed back toward the active Chandelier trail. This does not make the script a prediction tool. It simply highlights that the active trend has less distance from its trailing-stop structure and deserves closer attention. 💎 Why Traders May Like It The script is useful because it keeps the original simplicity of Chandelier Exit while adding the context traders usually have to judge manually. It can help users read: - Trend-following continuation quality - ATR trailing-stop distance - Trail-side transitions - Cleaner Chandelier flip zones - Exit-pressure areas near the active trail - Strong versus weak flip behavior The default view is intentionally restrained. Exit-watch labels are available, but disabled by default so the first chart impression stays cleaner. Flip labels and zones are also filtered by score so the chart does not get flooded during sideways periods. 🛠 Suggested Use Cases - Trend-following exit management - Swing-trading trail awareness - Crypto trend continuation tracking - Forex and index trailing-stop context - Stock trend-state monitoring - Identifying stronger Chandelier trail transitions - Monitoring when price compresses back toward the active trail ⚙️ Recommended Default Style The defaults are tuned for a public-free premium view: - ATR Length: 22 - Structure Lookback: 22 - ATR Multiple: 3.0 - Flip Zones: enabled - Minimum Zone Score: 50 - Minimum Flip Label Score: 45 - Exit Labels: disabled by default - Label Font Size: Normal - Panel Font Size: Normal - Panel Theme: Dark These settings keep the tool immediately usable while preserving a clean chart presentation. 🔹 In One Sentence Chandelier Exit Flip Zones turns a classic ATR trailing stop into a cleaner Chandelier trail, flip-quality, continuation-state, and exit-pressure map built for serious chart reading without unnecessary clutter.
Pine Script®指标
由AGProLabs提供
Hull MA Trend Zones [AGPro Series]Hull MA Trend Zones 📌 Overview Hull MA Trend Zones is a premium HMA trend overlay built for traders who want a cleaner way to read Hull Moving Average direction, slope quality, and pullback behavior. The script is centered on one clear idea: a strong HMA trend should not only move above or below a moving average; it should show measurable slope, orderly ribbon structure, and controlled pullback behavior around the active HMA path. Instead of presenting a crowded moving average wall, the script uses a focused three-line HMA structure, a subtle pullback band, and concept-native trend zones that are tied directly to the active Hull MA state. ⚙️ How It Works The engine calculates a fast HMA, an anchor HMA, and a slow HMA. The anchor HMA is the main decision line. Its slope is normalized with ATR so the script can judge whether the current Hull MA movement is weak, transitional, or directional. The ribbon structure then checks whether the fast, anchor, and slow HMA lines are aligned. This separates clean trend movement from mixed or unstable movement. Finally, the pullback layer evaluates whether price is extending away from the HMA, testing the HMA zone, holding the HMA zone, rejecting from the HMA zone, or failing the active trend path. 🧭 What The Script Shows - HMA ribbon for clean trend direction. - ATR-based HMA pullback band around the anchor HMA. - Rectangular HMA slope zones created from active directional states. - Confirmed, quality-gated Bull Turn and Bear Turn labels. - Optional Hold and Reject labels for pullback events. - A compact AGPro panel with HMA State, Slope Strength, Pullback Status, and Quality Score. 📊 AGPro Panel The panel is designed for fast scanning without taking over the chart. HMA State shows whether the active read is bullish, bearish, transitional, or neutral. Slope Strength converts the anchor HMA slope into a clear percentage-style reading. Pullback Status explains whether price is extending, testing, holding, rejecting, or failing the HMA trend zone. Quality Score combines slope strength, ribbon alignment, and pullback behavior into a single 0-100 reading. 🎯 What Makes It Different Hull MA Trend Zones is not a generic moving average ribbon, not a ribbon compression map, and not a broad support/resistance tool. Its focus is narrower and more practical: HMA slope, HMA trend-zone behavior, and pullback-to-HMA quality. The rectangular zones are not drawn as generic support or resistance. They are HMA slope zones created from the active trend state and the ATR-sized HMA pullback area. This keeps the script visually useful while avoiding overlap with broader zone, corridor, or compression-style indicators. The default visual design is intentionally restrained. Pullback labels are optional, turn labels require confirmation and a minimum quality score, and old zones are capped so the chart keeps a cleaner premium look on both intraday and higher-timeframe charts. 🔧 Key Settings Fast HMA Length controls the responsive side of the ribbon. Anchor HMA Length controls the main trend path, slope state, pullback band, and panel logic. Slow HMA Length helps identify whether the HMA ribbon is aligned or still transitional. Slope Lookback and Trend Slope Threshold control how selective the HMA state engine is. Zone Width ATR controls the height of the HMA pullback band and slope-zone area. Zone Forward Bars controls how far the active slope zone projects while the same trend state remains valid. Turn Confirmation and Minimum Turn Label Score control how selective the default turn labels are. Label Cooldown Bars, Max Visible Labels, and Label Offset ATR keep chart density suitable for publication-quality screenshots. Panel Location, Panel Theme, Label Font Size, and Panel Font Size are adjustable. ✅ Suggested Use Use Hull MA Trend Zones to study trend continuation, Hull MA pullback quality, HMA slope transitions, and cleaner moving-average trend behavior. It is especially useful when you want an HMA-focused overlay that remains readable on active charts and avoids the clutter of large multi-average systems. The script is designed as a public-free AGPro Series tool with a clean visual identity, a focused HMA concept, and a TradingView-safe publication structure.
Pine Script®指标
由AGProLabs提供
2
SuperTrend Flip Zones [AGPro Series]# SuperTrend Flip Zones 🔷 OVERVIEW SuperTrend Flip Zones is a trend-following overlay designed for traders who appreciate the clarity of SuperTrend, but want a more selective and more structured version of it on the chart. Traditional SuperTrend tools are popular because they are simple: the line flips, the color changes, and the chart immediately prints a directional signal. That simplicity is useful, but it also creates a familiar weakness. In many market conditions, raw SuperTrend flips can appear too early, too close to noise, or without enough expansion to show that a genuine directional transition is taking hold. This script was built to solve that exact problem. Instead of treating every SuperTrend direction change as equally meaningful, SuperTrend Flip Zones evaluates the quality of the flip itself. Only qualified flips are promoted into visible BUY / SELL events, and each accepted signal creates a forward-projecting support or resistance zone built around the new SuperTrend structure. The result is not just another SuperTrend clone with different colors. It is a more selective, more chart-aware framework that helps traders judge whether a flip is worth paying attention to, and where the new trend should continue to defend itself after that flip occurs. 🔷 WHAT MAKES THIS DIFFERENT The biggest difference is that this script does not stop at the flip. Most SuperTrend indicators on the platform focus on one task only: detect the directional switch and mark it immediately. SuperTrend Flip Zones takes a broader view. It asks two additional questions: 1. Was the flip strong enough to deserve attention? 2. After the flip, where is the live structural zone that the new trend is expected to protect? That design choice creates a very different chart experience. Instead of receiving every mechanical transition equally, the user sees a filtered signal environment. Weak flips can be ignored, while stronger flips remain visible and are reinforced by an ATR-based zone that extends forward. This makes the tool useful not only at the exact moment of the flip, but also in the bars that follow, when traders are deciding whether the move is still being respected. It also creates clear separation from other AGProLabs tools in the same family. This is not a pullback-quality script. It is not focused on grading retracements inside an already established trend. It is focused on the transition point itself, and on the acceptance zone created by that transition. 🔷 CORE LOGIC The script is built around a custom SuperTrend engine using the selected ATR model, source, and multiplier. When the direction flips, the script does not blindly trust the event. The flip is scored through a multi-factor quality model that examines: - candle body efficiency, - range expansion relative to ATR, - price separation from the active SuperTrend line, - alignment with a trend EMA, - maturity of the prior trend leg before the reversal occurred. Only flips that meet the minimum quality threshold are accepted. Once a bullish or bearish flip qualifies: - a BUY or SELL signal is printed, - the signal can be promoted to BUY+ or SELL+ when the score is stronger, - a rectangular support or resistance zone is created around the new SuperTrend level, - that zone is extended forward to provide ongoing structure. This makes the indicator useful both as a signal filter and as a post-signal map. 🔷 WHY THE ZONES MATTER A standard SuperTrend line tells you where the trailing stop or directional boundary currently sits. This script adds another layer by converting qualified flips into live zones. Those zones are important because they help visualize where the market should continue to accept price if the new directional phase is healthy. In bullish conditions, the zone behaves like a dynamic support belt around the fresh SuperTrend structure. In bearish conditions, the zone behaves like a dynamic resistance belt. If price continues to respect that zone, the flip remains structurally valid. If price loses the zone, the chart communicates that the new directional state is weakening or failing. This produces a more practical read than a line alone, especially for traders who do not always enter on the exact signal bar and instead evaluate continuation quality after the move begins. 🔷 VISUAL DESIGN The script is designed to look polished and organized without overloading the chart. Visual elements include: - bullish and bearish SuperTrend line states, - restrained BUY / SELL labels, - right-extending flip zones, - soft trend cloud for directional context, - compact AGPro panel with merged header row, - configurable panel placement, - dark and light theme support, - adjustable label and panel text sizing. The goal is to keep the chart premium and readable rather than dense and noisy. 🔷 HOW TO USE IT SuperTrend Flip Zones is most useful for traders who want a higher-quality directional read rather than every raw SuperTrend crossover. A typical workflow is: - use the line and cloud to identify the active directional state, - wait for a qualified BUY or SELL rather than reacting to every raw flip, - monitor the projected zone as a live support or resistance area, - observe whether price continues to defend that zone or loses it. This makes the script suitable for discretionary trend-following, continuation analysis, and cleaner overlay-based chart reading. 🔷 BEST FIT This tool is especially useful for: - traders who already use SuperTrend but want cleaner signal selection, - traders who prefer support / resistance style context after the flip, - users who want a premium visual overlay without excessive label density, - trend traders who want a more selective buy sell workflow. 🔷 TRANSPARENCY This is an analytical indicator, not a trading strategy. Like all trend-following tools, it can become less effective in highly compressed or directionless market conditions. The filtering logic is designed to reduce weak transitions, but it does not replace chart context, timeframe awareness, or risk management. All logic is based on confirmed bar data inside the script framework. The purpose is to organize price action more clearly, not to guarantee future market behavior.
Pine Script®指标
由AGProLabs提供
CCI Stoic Continuation - Crossing SignalsDescription The CCI Stoic Continuation is a refined take on the classic Commodity Channel Index, designed specifically for traders who prioritize clarity and trend persistence over chasing volatile swings. Instead of viewing the CCI as a simple overbought/oversold oscillator, this indicator treats it as a momentum thermometer . By utilizing a multi-layered threshold system, the indicator helps traders distinguish between a nascent trend (Early Momentum) and a confirmed, high-velocity move (Strong Momentum). How It Works The script visualizes four distinct phases of price action based on the relationship between the CCI and key threshold levels ($10$ and $80$): 1 Early Bullish (Teal) : CCI crosses above $+10$. This suggests momentum is beginning to shift upward. 2 Strong Bullish (Cyan) : CCI crosses above $+80$. This indicates high-velocity trend continuation. 3 Early Bearish (Light Orange) : CCI crosses below $-10$. The first sign of downside pressure. 4 Strong Bearish (Red) : CCI crosses below $-80$. Indicates significant conviction in the downward move. Key Features • Heat Fills : The background of the indicator pane is shaded to provide an immediate psychological "feel" for the current market environment. • Bar Coloring : Trend colors are applied directly to your price bars, allowing you to stay focused on the price action while monitoring momentum shifts. • Transition Markers : Vertical dashed lines appear in the indicator pane whenever a momentum state changes, highlighting the exact moment a "Stoic" entry or exit might be considered. • Precision Alerts : Built-in alert logic for both "Early" and "Strong" signals in both directions. Usage Tips • Trend Alignment (CRITICAL) : Do not take every signal. Only execute entries aligned with the higher-timeframe trend or overall market bias. This indicator is designed for continuation, not reversals. • The Stoic Entry : Use the "Early" signal to prepare, and look for "Strong" confirmation to enter once the trend is clearly established. • The Zero Line : The yellow zero line acts as the "Neutral Zone." Price action staying consistently above or below this line validates the broader trend bias. • Timeframes : While optimized for standard settings, it performs exceptionally well on the 15m, 1h, and 4h timeframes. Technical Settings • CCI Length : Default 20 (Adjustable for sensitivity). • Early Level: 10 (Customizable for tighter or looser entries). • Strong Level: 80 (The threshold for confirmed momentum). Author : Konstantinos Trovas Version : 6.0 (Pine Script)
Pine Script®指标
由kostastrovas提供
AG Pro Trend Continuation Quality [AGPro Series]AG Pro Trend Continuation Quality Overview / What it does AG Pro Trend Continuation Quality is an overlay built to evaluate whether a pullback is behaving like a healthy retracement inside an active trend, or whether the move is losing structural quality before continuation can develop. Instead of treating every dip in an uptrend or every pop in a downtrend as equally important, the script isolates pullback sequences and scores them through a continuation-quality framework. The goal is not to predict every next candle. The goal is to help traders judge whether the market is showing disciplined retracement behavior that often precedes trend continuation. The model combines trend alignment, pullback depth, pullback duration, relative volume behavior during the retracement, and the strength of the bounce candle that attempts to resume the trend. These conditions are translated into a compact quality score so the user can quickly separate cleaner continuation structures from weaker ones. On the chart, the script highlights pullback zones, tracks the retracement box, displays a continuation-quality label, and maintains an information panel that summarizes trend state, recent quality readings, best quality, average quality, and internal distribution data. The result is a workflow-oriented continuation map rather than a simple trend-following overlay. Unique Edge The distinctive part of this script is that it does not label trend continuation from trend direction alone. A bullish EMA stack or bearish EMA stack is not enough by itself. The script specifically evaluates the quality of the retracement before the continuation attempt is scored. That makes it meaningfully different from basic EMA trend tools, pullback highlighters, or single-condition continuation signals. Many tools can say that price is above or below an average. Fewer tools attempt to measure whether the internal anatomy of the pullback remains constructive for continuation. The scoring engine focuses on five practical questions: 1. Is the broader trend aligned? 2. Is the pullback still structurally controlled rather than excessively deep? 3. Did the retracement last a reasonable number of bars? 4. Did volume contract during the pullback instead of expanding aggressively against trend? 5. Did the bounce show enough intent to suggest renewed directional participation? This creates a cleaner framework for evaluating continuation setups in a way that is visual, systematic, and easier to compare across multiple pullbacks on the same chart. Methodology The script first determines directional context using EMA alignment and, when needed, swing-structure logic. This creates a working trend state that frames whether the script should be looking for bullish or bearish pullback behavior. Once a directional leg is active, the script begins tracking a pullback when price retraces against that trend. During the retracement, it measures: - how far the pullback travels relative to the prior trend leg, - how many bars the pullback lasts, - how pullback volume compares with the prior expansion leg, - and whether the bounce candle shows convincing re-engagement. These components are translated into a 0 to 10 quality score. Higher scores represent more orderly and structurally coherent pullbacks. Lower scores represent weaker or more suspect retracements. The visual output is designed to make those evaluations easier to read in real time: - pullback boxes frame the retracement zone, - optional fib-depth line shows the deepest retracement point tracked inside the pullback, - labels display score, quality grade, depth, duration, and relative volume, - panel metrics summarize the current continuation environment. Signals & Alerts The script is designed as a quality-mapping tool, not as an automatic trade system. Its event logic revolves around the completion of a pullback and the appearance of a bounce candle that attempts to resume the trend. When that bounce qualifies, the script calculates the final continuation-quality score and can display the setup if it meets the user-defined minimum score threshold. Available workflow signals include: - active bullish or bearish trend state, - pullback in progress, - completed pullback with scored continuation attempt, - high-quality continuation events when the score reaches stronger thresholds. Optional alerts can be used for: - high-quality continuation conditions, - or any scored pullback event, depending on user preference. Because alerts are tied to the script’s scoring and confirmation logic, they are intended to support chart review and decision-making rather than act as guaranteed execution instructions. Key Inputs EMA Fast Length / EMA Mid Length / EMA Slow Length These define the trend stack used to frame directional bias. Swing Pivot Length Controls the swing-structure sensitivity used in secondary trend detection. Max Pullback Depth (%) Defines how strict the script is when assessing whether a retracement remains healthy relative to the prior trend leg. Min Pullback Bars / Max Pullback Bars Controls the acceptable pullback duration window. Volume Decline Ratio Helps determine whether the retracement is occurring on lighter activity relative to the prior directional leg. Minimum Score to Display Filters weaker continuation events from the chart. Label Size / Label Offset / Reduce Label Overlap Lets the user adapt chart readability to their own zoom level and instrument volatility. Panel Position / Panel Font Size / Panel Theme Allows the continuation dashboard to be integrated into different chart layouts without dominating screen space. Limitations & Transparency This script does not know future market intent. It evaluates observable price and volume behavior after conditions form on the chart. A high score does not guarantee continuation. It only indicates that the completed pullback meets the script’s internal definition of stronger continuation quality relative to other pullbacks. The model is also sensitive to market regime. Trend continuation behavior tends to be clearer in directional markets and less reliable in highly compressed, erratic, or news-driven conditions. Volume behavior can vary across instruments and data feeds. On some assets, especially where volume data is synthetic, limited, or structurally uneven, the volume component should be interpreted with caution. Like other structure-based tools, this script can produce different practical usefulness depending on timeframe, instrument, volatility regime, and chart cleanliness. Users should calibrate inputs based on the market they are studying rather than treating defaults as universal settings. This script should not be viewed as: - a prediction engine, - a standalone trade system, - a replacement for risk management, - or a guarantee that a bounce will develop into a full continuation leg. Risk Disclosure This script is for chart analysis and educational use. It is designed to help users study pullback quality inside established trends, not to provide financial, investment, or trading advice. All trading and investing involve risk. Market conditions can change quickly, and even high-quality continuation structures can fail. Users should apply their own confirmation process, position sizing rules, and risk controls before acting on any market observation. Use the script as a structured continuation framework, not as certainty.
Pine Script®指标
由AGProLabs提供
4
Kalman Trend Estimator [KTE] -FibonacciFlux OVERVIEW Optimal linear trend filter using scalar Kalman filtering. Treats price as a noisy measurement of a hidden trend state and recursively computes the optimal estimate. The Kalman gain adapts automatically — no manual threshold tuning required. HOW IT WORKS The filter balances two noise sources: - Process Noise (Q): how fast the true trend can change - Measurement Noise (R): how noisy price observations are The Kalman gain adjusts every bar: - During clean trends: gain tightens, tracks price closely - During choppy markets: gain loosens, smooths out noise Innovation magnitude (prediction error) serves as a built-in regime classifier: small innovations = trending, large innovations = noisy/ranging. FEATURES - Adaptive Kalman gain — zero manual tuning - Innovation-based regime coloring (green = trend, red = noise) - Confidence bands derived from estimation uncertainty (P matrix) - Signal dots at trend direction changes - Works on all timeframes and instruments SETTINGS Process Noise Q: Controls trend tracking speed. Higher = faster adaptation. Default 0.01. Measurement Noise R: Controls price smoothing. Higher = smoother output. Default 1.0. Show Bands: Toggle confidence bands on/off. Based on: R.E. Kalman (1960), "A New Approach to Linear Filtering and Prediction Problems", Journal of Basic Engineering.
Pine Script®指标
由FibonacciFlux提供
1
AI Neural Trend Predictor [identityKa]The AI Neural Trend Predictor is a professional-grade, zero-lag trend tracking system designed to keep traders in massive moves while aggressively filtering out market noise. Traditional moving averages suffer from two fatal flaws: they either lag heavily behind the price, or they whipsaw the trader out of positions during minor pullbacks. This script solves both issues by combining a zero-lag mathematical smoothing algorithm with a dynamic volatility shield. Core Mechanics & Detection Zero-Lag Base Engine: The core of the algorithm utilizes a highly responsive, smoothed proxy to track the live price instantly, eliminating the delayed entry problem found in SMA or EMA based indicators. Volatility Shield (Noise Filter): Instead of flipping signals the moment price crosses the baseline, the engine projects a dynamic ATR-based shield around the trend. During a bullish run, minor price drops will simply compress into the shield without triggering a premature SELL signal. The trend only flips when the institutional order flow breaks through the true volatility threshold. Clear BUY / SELL Labels: The engine prints highly visible, definitive BUY (Green) or SELL (Red) labels directly on the chart, taking the guesswork out of your entries. HUD Dashboard & AI Logic The strictly positioned on-chart intelligence panel evaluates the live market state: Dangerous (Orange): Displayed actively whenever the internal volatility ratio drops below the algorithmic threshold, indicating a Choppy or Ranging market. This warns the trader to avoid taking new positions until momentum returns. LONG / SHORT: The engine generates a clear directional bias when the market shifts to a "TRENDING" state and the volatility shield remains unbreached in the direction of the trend. How to Use It This tool is built for capturing massive swings. When an AI BUY label appears, you ride the trend until the opposing SELL label is printed. Do not panic-sell during minor red candles (pullbacks); trust the Volatility Shield to keep you in the trade. For optimal results, ignore signals generated while the dashboard reads "Dangerous."
Pine Script®指标
由IdentityKa提供
2
Machine Learning: Trend Classifier [identityKa]Overview The Machine Learning: Trend Classifier is a professional-grade algorithmic momentum and trend analysis tool designed for data-driven traders. Unlike traditional moving averages that inherently lag behind live price action, this script introduces a multi-factor mathematical classification engine that evaluates real-time market behavior to predict the true direction of the trend. Core Mechanics & Detection The algorithm uses a continuous data-stream calculation to locate major market shifts: Bullish Classification (Neon Green): Detected when the underlying momentum, volatility, and trend-flow simultaneously show aggressive upward expansion. The dynamic data ribbon shifts to green, encapsulating the price. Bearish Classification (Neon Red): Detected when the structural momentum shifts downwards. The dynamic ribbon turns red, acting as algorithmic resistance. Neutral / Chop Zones (Orange): Detected when the market loses clear direction. The engine recognizes this as a friction zone and shifts to a neutral state, warning the trader of potential whipsaws. The Algorithmic Classification Engine A fundamental rule of this indicator is the "AI Confidence Score". The engine normalizes multiple indicators (RSI, CCI, and MACD flows) into a strict 0 to 100 percentage scale. The script constantly monitors this confidence score. If the score is above 20%, a Bullish state is confirmed. If it is below -20%, a Bearish state is confirmed. Anything in between is classified as market noise. Upon crossing these algorithmic thresholds, the script instantly updates the on-chart Ribbon, ensuring that only statistically significant trend shifts are highlighted for the trader. This keeps the workspace incredibly clean and mathematically sound. HUD Dashboard & AI Logic The on-chart intelligence panel evaluates the live market state and generates actionable data: Dangerous: Displayed actively whenever the current live price is trading inside the Neutral zone (Confidence Score between -20% and 20%). This serves as a warning that the price is in a high-friction area where sharp rejections and false breakouts are imminent. LONG / SHORT: The engine tracks the macro bias based on the classification state. If the AI Confidence heavily favors upward momentum, the bias shifts to LONG. If the momentum breaks downwards, the bias shifts to SHORT. How to Use It This tool provides exceptional context for trade entries and trend following. When the AI Suggestion reads "LONG," traders should look for pullbacks toward the lower band of the green ribbon. When the state reads "Dangerous," it is highly recommended to stay out of the market or tighten stop losses until a clear trend direction is re-established by the algorithm.
Pine Script®指标
由IdentityKa提供
MESA Adaptive Cycle Engine [MarkitTick]💡 The MESA Adaptive Cycle Engine is an advanced, dynamic trend-following overlay designed to adapt to market volatility and cyclical phases. Unlike traditional moving averages that suffer from significant lag during range-bound periods, this tool leverages digital signal processing to stay aligned with the market's dominant cycle. It features an integrated webhook automation system and a real-time risk management dashboard. ✨ Originality and Utility Standard exponential or simple moving averages rely on fixed lookback periods, making them inherently flawed when market conditions shift from trending to cycling. This indicator utilizes the MESA (Maximum Entropy Spectral Analysis) Adaptive Moving Average (MAMA) and Following Adaptive Moving Average (FAMA) concepts. By measuring the phase rate of change via a Hilbert Transform, the moving averages mathematically adapt their alpha speeds. Furthermore, this script is uniquely engineered for modern automated trading, featuring a self-cleaning dashboard and dynamically constructed JSON payloads for external execution engines. 🔬 Methodology and Concepts ● The Hilbert Transform At its core, the script applies a Hilbert Transform to the price source (defaulting to hl2) to extract the real and imaginary components of the market cycle. ● Phase and Period Calculation By calculating the arctangent of the quadrature and in-phase components, it determines the current phase and dominant cycle period. ● Adaptive Alpha The phase's rate of change dictates the alpha variable. In trending markets, the phase changes slowly, allowing the alpha to remain near the Fast Limit. In choppy markets, the phase changes rapidly, dropping the alpha toward the Slow Limit to prevent whipsaws. ● Risk Engine The script establishes automated Stop Loss and Take Profit levels based on an ATR multiplier, updating dynamically upon regime shifts. 🎨 Visual Guide ● MAMA and FAMA Lines The indicator plots two primary lines: the MAMA line (default Green) and the FAMA line (default Red). ● Regime Fill The space between MAMA and FAMA is filled with a semi-transparent Bullish color when MAMA is above FAMA, and a Bearish color when MAMA is below FAMA. ● Entry Signals A small upward triangle is plotted below the bar upon a Golden Cross (Buy Signal), and a downward triangle is plotted above the bar upon a Death Cross (Sell Signal). ● Analytics Dashboard A table in the bottom-right corner displays the current Market Regime, Phase Volatility (ATR), and the active JSON Payload status. 📖 How to Use Wait for a confirmed crossover. A Golden Cross (MAMA crossing above FAMA) initiates a Bullish regime, while a Death Cross initiates a Bearish regime. Use the Regime Fill to hold positions; stay in a long position as long as the fill remains bullish. Monitor the Dashboard for real-time ATR values to assist with manual trailing stops, or rely on the automated Risk Manager's calculated Take Profit (2x ATR) and Stop Loss (1x ATR). Non-standard charts (like Heikin Ashi or Renko) will trigger a runtime warning, as cycle measurements rely on standard time-based OHLC data. ⚙️ Inputs and Settings ● MESA DSP Parameters Price Source: Determines the input data (default hl2). Fast Limit: The maximum alpha speed, usually set to 0.5. Slow Limit: The minimum alpha speed, usually set to 0.05. ● Automation & JSON Payload ATR Multiplier: Controls the width of the Stop Loss and Take Profit levels. Webhook Action (Long/Short): Defines the string action injected into the outgoing JSON payload. 🔍 Deconstruction of the Underlying Scientific and Academic Framework The indicator is deeply rooted in digital signal processing (DSP), specifically pioneered for trading by John Ehlers. The framework models market data as a complex waveform. By passing the data through a 4-bar WMA smoother and then applying a Hilbert Transform, the algorithm isolates the in-phase (I) and quadrature (Q) components. This orthogonal relationship allows the script to map the market's analytic signal onto a complex plane, solving for the instantaneous phase angle. The fundamental academic breakthrough here is using the derivative of this phase (the rate of phase change) to govern the exponential smoothing constant (alpha) of the moving average. This ensures the filter's bandwidth dynamically conforms to the signal's spectral density, offering high-fidelity smoothing without the commensurate group delay found in static linear filters. ⚠️ 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®指标
由MarkitTick提供
TetraTrend Engine [MarkitTick]💡 The TetraTrend Engine is an advanced, multifaceted overlay indicator designed to provide traders with a comprehensive view of market structure, trend direction, and institutional liquidity levels. By capturing and freezing critical moving average data at a user-defined moment in time, it transforms lagging indicators into static support and resistance frameworks. Furthermore, it integrates a sophisticated Multi-Timeframe (MTF) confluence matrix, ADX-based chop filtering, and dynamic position sizing, making it a complete suite for methodical trade execution. Please note that if applied to non-standard charts (like Heikin Ashi or Renko), the script's calculations may repaint. ✨ Originality and Utility Standard moving averages constantly adjust to new price data, which is useful for trailing trends but less effective for identifying historical break-and-retest zones. This script introduces a novel "Freeze Point" mechanic. At a specific, fixed date and time, the engine captures the exact values of four distinct moving averages and the Average True Range (ATR). These values are then projected forward as horizontal levels, creating a persistent architectural map of the market based on a fundamental historical event (like an earnings report, macroeconomic news release, or structural pivot). Combined with an Auto-Anchored VWAP that automatically initiates from this exact freeze date, it offers a highly unique, institutional-grade perspective on volumetric average price versus static historical momentum. 🔬 Methodology and Concepts ● Core Trend Identification The indicator calculates four separate moving averages, with default lengths of 20, 50, 100, and 200. Users can toggle the calculation method between Simple (SMA), Exponential (EMA), Weighted (WMA), and Volume-Weighted (VWMA) moving averages. ● The Freeze Engine A timestamp is set by the user (defaulting to a specific date like "2025-12-31 23:59"). Once the market time crosses this threshold, the script triggers a state where calculations are locked. It records the exact values of the four MAs and the 14-period ATR at that exact candle. ● Institutional Confluence and Risk Matrix The script checks higher timeframe (HTF) trend alignment using a primary HTF filter (defaulting to Daily). An optional MTF Matrix requires alignment across three custom timeframes (e.g., 240m, Daily, Weekly) before validating any bullish signals. It incorporates an ADX threshold (default 20.0) to filter out choppy, ranging markets, ensuring signals are only generated during periods of active momentum. 🎨 Visual Guide ● Chart Overlays and Lines MA 1 (Length 20): Plotted in bright Cyan (#00E5FF). MA 2 (Length 50): Plotted in Teal (#14B5CB). MA 3 (Length 100): Plotted in Royal Blue (#2979FF). MA 4 (Length 200): Plotted in Purple (#AA00FF). Freeze Marker: A vertical line (default Dashed, colored Gray/Blue) denotes the exact moment the historical levels were captured. Anchored VWAP: If enabled, an Orange line (#FFB74D) plots the volume-weighted average price starting precisely from the Freeze Marker. ● Dynamic Liquidity Zones If enabled, semi-transparent shaded bands appear around Frozen Level 1 and Frozen Level 4. These bands represent a distance of 0.5 * Frozen ATR, illustrating expected volatility boundaries at the time of the freeze. ● Analytics Dashboard A heads-up display table is drawn in the top-right corner, displaying a dark theme with blue/gray borders. It lists the HTF Trend Status (Bullish in Green, Bearish in Red). It displays the current Market State (Trending/Active vs. Chop/Low Vol) based on the ADX. It shows current Volatility (ATR) and ADX Strength. If enabled, it outlines the MTF Matrix Status and the mathematically calculated Dynamic Position Size. ● Signal Shapes and Labels A green triangle pointing up (#00E676) plots below the bar when a valid Long signal is generated. Dynamic labels attach to the right side of the frozen levels, constantly updating to show the MA length and exact price level. 📖 How to Use ● Setting the Anchor Identify a major market event on your chart (a swing high/low, a CPI data release, or a sudden volume spike). Open the settings and input the exact date and time of this event into the "Fixed Date/Time (Freeze Point)" input. ● Interpreting Signals Wait for the market to interact with the freshly drawn horizontal frozen levels. A valid Long signal (Green Triangle) will only trigger if: the price crosses above Frozen Level 1, the HTF trend is bullish, the market is not ranging (ADX > threshold), and the optional MTF matrix is fully aligned. Monitor the Analytics Dashboard table to ensure the broader market environment supports the trade setup. ⚙️ Inputs and Settings • Moving Average Settings Length 1 through 4: Adjust the lookback periods for the core trend calculation. MA Type: Dropdown to select the mathematical smoothing method (SMA, EMA, WMA, VWMA). • Advanced Filters & Risk Primary HTF Filter: Determines the baseline higher timeframe to establish the primary trend direction. ADX Chop Filter Threshold: Sets the minimum ADX value required to consider the market "trending" rather than "ranging". Risk/Reward Ratio: A multiplier used to automatically calculate Take Profit 1, 2, and 3 targets based on the dynamically calculated Stop Loss distance. • Institutional Features (Optional) Enable Auto-Anchored VWAP: Anchors a VWAP strictly starting from the chosen Freeze Date. Enable MTF Confluence Matrix: Requires alignment across three separate, user-defined timeframes. Enable Dynamic Position Sizing: Inputs for Account Size ($) and Risk Per Trade (%). The script uses the ATR-based stop loss to output exact contract/share sizing required to maintain strict risk parameters. 🔍 Deconstruction of the Underlying Scientific and Academic Framework The TetraTrend Engine leverages several established quantitative and statistical concepts to derive its signals. Moving averages serve as low-pass filters, dampening high-frequency market noise to reveal the underlying directional component of the time series. By capturing these values statically at a user-defined vector (the Freeze Point), the script transitions from dynamic time-series analysis to fixed architectural support/resistance theory, positing that historical mean values at critical temporal nodes retain psychological and institutional relevance. Furthermore, the integration of the Average Directional Index (ADX) relies on the statistical measurement of trend velocity and momentum dispersion. The ADX component acts as a volatility gatekeeper, mathematically ensuring that the standard deviation of directional movement exceeds a baseline threshold before capital is deployed. Position sizing calculations utilize the Average True Range (ATR)—a measure of absolute price dispersion—to dynamically scale risk exposure inversely to market volatility, ensuring normalized risk parity across varied market environments. ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Pine Script®指标
由MarkitTick提供
Fractal Retracement [Jamallo](2025) Intro FRAMA is a moving average that adapts its speed based on fractal geometry — specifically, the fractal dimension (D) of recent price action. When price is trending strongly (low fractal dimension), it moves fast. When price is choppy/ranging (high fractal dimension), it slows down. This makes it far more responsive than a standard EMA or SMA. Breakdown: The indicator wraps this with a continuous range logic layer: the filtered line = k only moves if price breaks beyond the FRAMA ± ATR-based range, creating a stepped/ratcheting effect that filters out noise. Two sets of bands are plotted around the filtered line, scaled by ATR multiplied by user-defined multipliers (tight at 0.5×, medium at 1.0×). They're smoothed with a short EMA to reduce jitter, and filled with gradient colors for visual clarity. Direction is simply determined by whether k is rising or falling, and colors everything green (uptrend) or pink/red (downtrend). END In short, it's a noise-filtered trend indicator useful for identifying trend direction, dynamic support/resistance , and gauging how far price has retraced from the trend baseline.
Pine Script®指标
由Jamallo22提供
Hodrick-Prescott filter [Jamallo](2025) Intro The Hodrick-Prescott (HP) filter is a tool originally developed by economists to remove short-term noise from data and reveal the underlying long-term trend — think of it like a moving average, but mathematically smarter. Instead of just averaging recent prices, it solves for the smoothest possible trendline that still follows the data. Applied to price, it produces a cleaner baseline than most traditional moving averages. --- However it comes with 3 problems in practical day trading. Problem #1 Standard HP Repaints History (core issue) The standard HP filter is non-causal — the value at any point in time depends on future values CEPR, meaning past signals can change retroactively. How I solved it: Switching to a one-sided implementation fixes this — it only looks at past data, so history never changes once a bar closes. Problem #2 One-Sided HP Hooks at Turns Going one-sided introduces an endpoint artifact — near turning points the trend line briefly curves in the wrong direction before reversing, producing a false signal. How I solved it: Feeding the HP output into a range filter solves this. The line only moves when HP breaks outside a volatility band, so the false hook gets absorbed into a flat zone and never fires a signal. Problem #3 Fixed Band Would Be Too Rigid A fixed band would whipsaw in volatile markets and lag in calm ones. How I solved it: Instead the band is sized dynamically using a percentile of True Range, scaling automatically with current market conditions.
Pine Script®指标
由Jamallo22提供
Trend filter [Jamallo](2025) This is a trend qualification and filtering tool. Breakdown: Signal Line — Vervoort ATR Trailing Stop The signal line is an implementation of the ATR Trailing Stop developed by Sylvain Vervoort, first published in Technical Analysis of Stocks & Commodities, Volume 27, Issue 6 (June 2009), in his article "Average True Range Trailing Stops" . The stop uses a modified ATR calculated on the average price (O+H+L+C)/4 rather than the plain close. Baseline — Kalman Filter The baseline is derived from the Kalman Filter, a recursive algorithm developed in 1960 by Rudolf E. Kálmán, a Hungarian-American engineer and mathematician. Originally developed for aerospace applications in the early 1960s — including guidance of the Apollo spacecraft. In this indicator, the Kalman Filter acts as a smooth, low-lag trend estimate. Rather than applying fixed weights to historical data like conventional moving averages, it dynamically adjusts its trust between the predicted trend and observed prices. Bands — Volatility Channels Two pairs of bands (inner and outer) are built around the Kalman baseline using a 200-bar WMA.
Pine Script®指标
由Jamallo22提供
Momentum Lifecycle Detector [BullByte]Momentum Lifecycle Detector An early trend detection oscillator that tracks momentum through five lifecycle phases - from birth to death - using DI spread acceleration analysis . Designed to identify momentum ignition before traditional ADX signals, and warn of trend exhaustion before it becomes obvious. WHAT THIS INDICATOR DOES The Momentum Lifecycle Detector (MLD) is a momentum oscillator with integrated trend phase classification. It answers the question every trend trader needs answered: "Where in its life is this momentum right now?" Most trend strength indicators tell you a trend exists after the move is already underway. ADX crossing above 25 is a lagging confirmation. MLD solves this by detecting the birth of momentum at the earliest mathematically identifiable point, then tracking that momentum through five distinct lifecycle phases until it dies. The indicator displays: An ATR-normalized momentum oscillator (the main line you follow) A signal line for crossover analysis A histogram showing momentum-signal divergence A colored lifecycle band showing the current phase Consolidation zone boxes marking coiled energy before breakouts A reversal atmosphere glow when momentum curvature suggests reversal A dashboard summarizing momentum conditions at a glance Adaptive dead zone and choppy market warnings THE PROBLEM THIS SOLVES - WHY TRADERS NEED EARLY TREND DETECTION Traditional ADX tells you a trend is strong when it crosses above 25. By that point, the optimal entry window has often closed. Conversely, ADX gives no clear warning when a trend is dying - it just slowly rolls over after the move has already reversed. The core innovation in MLD is measuring the acceleration of the gap between +DI and -DI. Here is the mathematical logic: Spread = |+DI minus -DI| - How far apart are bullish and bearish pressure? Velocity = Spread minus Spread - Is that gap widening or narrowing? Acceleration = Velocity minus Velocity - Is the widening itself speeding up? When acceleration is positive and velocity is positive while ADX is still low, a new trend is actively forming. This is the mathematical fingerprint of momentum at birth - detectable bars before ADX would give any signal. WHY THESE SPECIFIC COMPONENTS - JUSTIFICATION FOR THE INTEGRATION This indicator combines several analytical methods into a unified lifecycle detection framework. Each component serves a specific, non-redundant purpose. Here is why each exists: Zero-Lag EMA Momentum Oscillator Purpose : The primary visual output traders watch and trade. Method : Difference between fast ZLEMA (default 9) and slow ZLEMA (default 21), divided by ATR, multiplied by 100. Why ZLEMA : Standard EMA lags behind price. ZLEMA compensates by adding the difference between the current price and its lagged value before smoothing. This produces earlier momentum readings without adding noise. Why ATR normalization: Raw price differences are not comparable across instruments. A 5-point move means something different on a $10 stock versus Bitcoin. Dividing by ATR makes oscillator readings universal - a reading of +50 represents the same relative momentum strength on any chart, any timeframe. Gaussian-Weighted Directional Indicators Purpose : Feed responsive directional data into the lifecycle detection engine. Method : Instead of standard Wilder smoothing for +DI and -DI, a Gaussian (bell-curve) decay function applies exponentially more weight to recent bars. The formula is exp(-(n/len)^2). Why Gaussian weighting : Standard DI treats all bars in the lookback equally. A directional move from 14 bars ago counts the same as one happening now. Gaussian decay makes DI inherently more responsive to fresh moves without shortening the period (which would increase noise). ZLEMA-Smoothed ADX Purpose : Trend strength measurement for phase classification. Method : DX calculated from Gaussian-weighted DI values, smoothed with ZLEMA instead of traditional Wilder smoothing. Why ZLEMA-smoothed: Standard Wilder-smoothed ADX is deliberately sluggish by design. For lifecycle detection, we need ADX that responds faster to "waking up" and "rolling over" behaviors that define phase transitions. DI Spread Acceleration Engine Purpose : The core innovation - detects momentum birth before ADX confirms. Method : Calculates the absolute spread between +DI and -DI, derives its velocity (first derivative) and acceleration (second derivative), smooths both with 3-period EMA. Why this matters: This is what differentiates MLD from existing ADX-based tools. Acceleration of the DI spread is a leading indicator. By the time ADX crosses a threshold, spread acceleration has already been positive for multiple bars. This enables IGNITION detection before traditional signals fire. Kaufman Efficiency Ratio Purpose : Regime filter that warns when conditions are choppy. Method : ER = net price movement divided by total price movement. Values near 1.0 mean efficient directional movement. Values near 0.0 mean price went back and forth without progress. Why included: Momentum oscillators generate false signals in ranging markets. When ER is low, ADX is weak, and momentum sits inside the dead zone, the background turns gray - warning traders that conditions do not support directional strategies. Momentum Curvature Analysis Purpose : Early warning of potential reversals via oscillator curvature. Method : Second derivative of momentum (how the slope is changing). When momentum is negative but curving upward (positive curvature with positive slope), bullish pressure is building from underneath before the trend visibly reverses. Strength is normalized against 30-bar standard deviation of curvature. Important : This is purely mathematical curvature of the plotted oscillator. It does not use order flow, volume profile, bid/ask data, or any external source. The term "atmosphere" is a visual metaphor for the glow effect. These components form an integrated pipeline - they are not independent indicators placed on the same pane. The oscillator provides visual momentum reading, Gaussian DI and ZLEMA ADX feed the lifecycle engine, spread acceleration detects phase transitions, ER provides regime context, and curvature adds reversal awareness. Each output feeds downstream components. THE FIVE LIFECYCLE PHASES - DETECTION LOGIC EXPLAINED The lifecycle band at the bottom displays one of five phases. Each has specific mathematical conditions that must all be true simultaneously. A state machine with configurable inertia prevents rapid flickering. IGNITION - Cyan Band Conditions : DI crossover within last N bars (default 4), spread acceleration above threshold (default 0.2), spread velocity above threshold (default 0.3), ADX rising for two consecutive bars. Meaning : Momentum is being born. DI lines just crossed, the gap is accelerating open, ADX is waking. This is the earliest actionable signal. ADX may still be below 20. State machine : IGNITION transitions instantly (1-bar inertia) because early detection speed matters. THRUST - Green or Red Band (direction-coded) Conditions : Past ignition window but within 3x that window, spread velocity above threshold (default 0.5), ADX surged more than threshold (default 1.5) over 3 bars. Meaning : Young trend gaining real power. Spread velocity is high, ADX is confirming with a surge. The trend is no longer hypothesis - it is building strength. State machine : THRUST transitions instantly. PRIME - Deeper Green or Red Band (direction-coded) Conditions : ADX above strong threshold (default 20), ADX either rising or above its signal line, DI spread above minimum (default 10). Meaning : Mature, established trend. Maximum directional strength. Most productive phase - but also where exhaustion can begin. Use trailing stops. State machine : Requires configured inertia (default 2 bars) before transition. FADING - Orange Band Conditions : ADX above strong threshold BUT falling AND below its signal line, OR ADX strong but spread velocity sharply negative (below -0.5). Meaning : Trend is dying. ADX rolling over, DI gap closing. Time to tighten stops, take partials, prepare for next cycle. State machine: Requires configured inertia before transition. DEAD - Dark Gray Band Conditions : None of the above active. Meaning : No meaningful directional momentum. Market ranging, consolidating, or in transition. Directional strategies unlikely to perform well. HOW TO READ THE OSCILLATOR PLOT Momentum Line (thick, color-coded) Bright green : Momentum positive and rising (bullish, strengthening) Faded green : Momentum positive but falling (bullish, weakening) Bright red: Momentum negative and falling (bearish, strengthening) Faded red : Momentum negative but rising (bearish, weakening) Gray : Momentum inside dead zone (noise, not signal) Signal Line (thin orange) EMA of momentum. Crossovers between momentum and signal highlight directional shifts, similar to MACD signal line usage. Momentum-Signal Fill (shaded area between the two lines) Teal shading: Momentum above signal (bullish bias) Maroon shading: Momentum below signal (bearish bias) This fill provides instant visual recognition of which line is dominant. Histogram (vertical columns at zero line) Shows the gap between momentum and signal. Bright columns: Gap expanding (momentum pulling away, trend strengthening) Faded columns: Gap contracting (momentum converging, trend weakening) Green: Momentum above signal. Red: Momentum below signal. Dead Zone (gray horizontal band around zero) Dynamically calculated as a multiple (default 0.5x) of momentum's 50-bar standard deviation. When momentum is inside this zone, directional signals are unreliable - the reading is within normal noise range. Zero Line (dotted horizontal) Momentum above zero: Net bullish pressure Momentum below zero: Net bearish pressure Zero line crosses represent directional bias shifts. CONSOLIDATION ZONES - COILED ENERGY BEFORE BREAKOUTS Yellow boxes appear on the oscillator when momentum energy is coiling - a potential precursor to a strong directional move. Detection Logic Two conditions must be simultaneously true: Histogram (momentum-signal gap) is unusually tight relative to its recent 50-bar standard deviation. Momentum slope is unusually flat relative to its recent 50-bar standard deviation. Both thresholds are adaptive - they automatically adjust to each instrument's typical behavior. This means the indicator detects relative consolidation, not absolute levels, making it equally effective on volatile crypto and stable bonds. Zone Lifecycle New zone starts as dotted-border, light yellow box. If it persists for minimum bar count (default 5), it upgrades to solid-border, brighter yellow - a validated zone. If momentum drifts too far from where zone started (exceeds drift tolerance relative to zone height), the zone is invalidated and deleted. This prevents slow trends from being falsely labeled as consolidation. When zone breaks (convergence conditions end), box color changes based on breakout direction: teal for bullish breakout, maroon for bearish breakout. Only one active zone exists at a time to keep the chart clean. How to Trade It Validated consolidation zones (solid border) represent coiled momentum. Breakouts from these zones, especially when accompanied by IGNITION or THRUST phase, often produce strong directional moves. The breakout color immediately tells you the direction. REVERSAL ATMOSPHERE - CURVATURE-BASED REVERSAL WARNING A soft colored glow appears around the momentum line when mathematical curvature suggests a reversal is forming. How It Works The indicator calculates the second derivative of momentum (curvature - how the slope itself is changing). Bullish reversal detection: Momentum is below zero (bearish), but slope has turned positive (rising), and curvature is positive (the rise is accelerating). This is the mathematical signature of a bottom forming - momentum is still negative but fighting back. Bearish reversal detection: Mirror image. Momentum is above zero, but slope is negative and curvature is negative. A top is forming. Visual Output Green glow: Bullish reversal pressure building Red glow: Bearish reversal pressure building Glow intensity increases with curvature strength, normalized against 30-bar standard deviation Glow width is configurable (default 8 units) Important Clarification This is purely mathematical analysis of the oscillator's own curvature. It does not incorporate order flow data, market depth, bid/ask spreads, or any external data source. The term "atmosphere" is a visual metaphor describing the glow effect, not a claim about market microstructure. CHOPPY MARKET BACKGROUND - REGIME WARNING When three conditions are all simultaneously true, the pane background turns gray: Efficiency Ratio below choppy threshold (default 0.30) ADX below choppy threshold (default 18) Momentum inside dead zone This gray background is a visual warning: "Market conditions are choppy. Momentum signals here are statistically less reliable. Consider waiting for cleaner conditions." DASHBOARD - THE MOMENTUM WEATHER REPORT A compact panel (position and size configurable) displaying five key readings: PHASE Current lifecycle phase name in corresponding color. Instantly shows where momentum is in its lifecycle. BIRTH DI spread acceleration status - is new momentum being created? ACCELERATING (cyan) : Strong positive acceleration, momentum actively being born BUILDING (green) : Moderate positive acceleration QUIET (gray): No significant acceleration DECELERATING (red): Negative acceleration, momentum creation slowing or reversing FLOW Directional bias with magnitude. BULL : Bullish DI dominance. Number is DI spread (gap between +DI and -DI) BEAR : Bearish DI dominance FLAT : Momentum in dead zone, no meaningful directional bias WEATHER Overall assessment combining phase and vitality. FAVORABLE (green): Active phase (IGNITION/THRUST/PRIME) with momentum outside dead zone. Conditions support directional trading. CAUTION (orange): FADING phase, or PRIME with negative spread velocity. Trend may be exhausting. UNFAVORABLE (red): DEAD phase or momentum in dead zone. Avoid directional strategies. PRESSURE Reversal pressure from curvature analysis. BULLISH REV (green): Strong bullish reversal curvature BEARISH REV (red): Strong bearish reversal curvature BUILDING (cyan): Moderate reversal curvature forming NONE (gray): No significant reversal pressure COMPLETE SETTINGS REFERENCE Core Momentum Oscillator Fast ZLEMA Length (default 9): Fast moving average responsiveness. Lower = faster, noisier. Slow ZLEMA Length (default 21): Baseline moving average. Gap between fast and slow produces momentum. Signal Line Length (default 5): Smoothing period for signal line. Momentum Smoothing (default 3): Additional noise reduction on raw momentum. ATR Period (default 14): Normalization period for cross-instrument comparability. Consolidation Zones Show Consolidation Zones (default true): Toggle zone detection. Histogram Sensitivity (default 1.0): How tight momentum-signal gap must be. Lower = stricter. Slope Sensitivity (default 1.0): How flat momentum must be. Lower = stricter. Minimum Bars (default 5): Shortest valid consolidation duration. Drift Tolerance (default 0.4): Maximum directional drift before zone invalidation. Regime Detection Efficiency Ratio Period (default 10): Lookback for price efficiency calculation. ER Smoothing (default 5): Smoothing to prevent rapid regime flipping. Trend Threshold (default 0.4): ER above this = trending market. Dead Zone Multiplier (default 0.5): Standard deviations defining the noise band. Choppy ER Threshold (default 0.30): ER below this contributes to choppy warning. Choppy ADX Threshold (default 18): ADX below this contributes to choppy warning. Momentum Lifecycle Show Lifecycle Band (default true): Toggle the colored phase band. DI Calculation Length (default 14): Period for Gaussian-weighted +DI/-DI. ADX Smoothing (default 14): ZLEMA smoothing on DX. ADX Signal Length (default 5): EMA of ADX for crossover detection. Ignition Window (default 4): Bars after DI cross qualifying for IGNITION. State Inertia (default 2): Bars a phase must persist before official transition. Ignition Accel Threshold (default 0.2): Minimum spread acceleration for IGNITION. Ignition Velocity Threshold (default 0.3): Minimum spread velocity for IGNITION. Thrust Velocity Threshold (default 0.5): Minimum spread velocity for THRUST. ADX Surge Threshold (default 1.5): Minimum ADX rise over 3 bars for THRUST. ADX Strong Threshold (default 20): ADX above this = strong trend (PRIME/FADING). DI Spread Minimum (default 10): Minimum DI gap for PRIME confirmation. Reversal Atmosphere Show Reversal Atmosphere (default true): Toggle the curvature glow effect. Glow Width (default 8): Visual width of atmospheric glow. Cosmetic only. Display Show Histogram (default true): Toggle momentum-signal histogram. Show Momentum-Signal Fill (default true): Toggle shaded area between lines. Show Choppy Background (default true): Toggle gray background warning. Dashboard Show Dashboard (default true): Toggle the weather report panel. Dashboard Position (default Top Right): Panel location on chart. Dashboard Size (default Small): Text size in panel. Alerts Alert on Ignition (default true): Notify when entering IGNITION phase. Alert on Fading (default true): Notify when entering FADING phase. Confirm on Bar Close (default true): Wait for bar close before firing alerts. Prevents false signals from intra-bar noise. ALERTS Two alert conditions target the most actionable lifecycle transitions: IGNITION Onset Fires when lifecycle enters IGNITION phase. Alert message includes directional bias (Bullish/Bearish), current ADX value, and how many bars since DI cross. FADING Onset Fires when lifecycle enters FADING phase. Alert message includes ADX value and current spread velocity. Bar Close Confirmation When enabled (default), alerts only fire after the bar closes. This prevents false alerts triggered by intra-bar price spikes that later reverse. Recommended to keep enabled for reliable signals. RECOMMENDED TIMEFRAMES AND INSTRUMENTS MLD works across all timeframes and instruments due to ATR normalization. Default settings optimized for: Daily and 4-hour charts. For lower timeframes (15m, 5m): Consider increasing Momentum Smoothing to 5 and State Inertia to 3 to filter noise. For weekly charts: Default settings work without adjustment. For highly volatile instruments (crypto, small caps): The adaptive thresholds automatically adjust. No manual tuning typically required. For low-volatility instruments (bonds, some forex pairs): Consider reducing Dead Zone Multiplier to 0.3 for more sensitivity. PRACTICAL EXAMPLE - MOMENTUM LIFECYCLE IN ACTION Consider a stock range-bound for weeks. ADX reads 12. Traditional trend tools show nothing actionable. Then +DI crosses above -DI. ADX is still 12. No traditional signal. But MLD detects that the DI spread is accelerating - the gap is not just opening, it is opening faster each bar. ADX has risen for two consecutive bars (waking up). The lifecycle band turns cyan: IGNITION. The dashboard shows BIRTH: ACCELERATING, WEATHER: FAVORABLE. Over the next few bars, spread velocity increases. ADX surges upward. The band turns green: THRUST. The trend is confirmed and building. ADX crosses above 20, continues rising, spread stays wide. Band turns deeper green: PRIME. This is the productive phase. Eventually ADX peaks, starts falling, drops below its signal line. Spread velocity turns negative. Band turns orange: FADING. Dashboard shows WEATHER: CAUTION. Time to trail stops tightly. ADX falls back below 20, momentum enters dead zone. Band turns gray: DEAD. The lifecycle is complete. The value: MLD flagged IGNITION several bars before ADX would have signaled anything. It flagged FADING while ADX was still technically strong but deteriorating. This is the early detection advantage. Chart Example 1: BTC/USDT 5-minute is showing a classic FADING lifecycle : a bullish thrust peaked around 13:00–14:00, entered a validated consolidation zone, and is now visibly breaking down. The momentum line is curving sharply downward inside the yellow box, the band is orange (FADING), and FLOW has flipped to BEAR 17.9 : confirming the consolidation resolved bearishly, not bullishly. The earlier cyan IGNITION flash (~14:30) failed to sustain, overwhelmed by the dominant fading structure. The dashboard reads WEATHER: CAUTION, PRESSURE: NONE : no reversal energy building yet. Chart Example 2: BTC/USDT 15-minute is in DEAD phase with WEATHER: UNFAVORABLE : no tradeable momentum present. The dashboard tells the complete story: FLOW is FLAT meaning neither bulls nor bears have directional control, and PRESSURE is NONE meaning no reversal energy is building beneath the surface either. Despite BIRTH showing ACCELERATING, without flow direction or reversal pressure to back it up, the acceleration has no confirmed destination yet. Stand aside and wait for the lifecycle band to shift out of DEAD before committing. WHAT MAKES THIS INDICATOR ORIGINAL The originality lies in three specific innovations not present in standard ADX/DI implementations or common momentum oscillators: DI Spread Acceleration Analysis Standard tools measure the DI spread itself or track ADX thresholds. MLD applies derivative analysis - velocity and acceleration - to the spread, transforming a traditionally lagging measurement into a leading indicator of trend formation. Gaussian-Weighted DI Calculation Standard DI uses Wilder smoothing with equal weight to all bars. Gaussian decay weighting makes DI inherently more responsive to recent directional moves without the noise penalty of shorter periods. Five-Phase Lifecycle Classification with Inertia-Gated State Machine Rather than binary trend/no-trend output, MLD maps momentum onto a lifecycle model with distinct phases and specific mathematical criteria. The state machine prevents flickering while allowing speed-critical states (IGNITION, THRUST) to transition immediately. These are integrated innovations, not independent indicators on the same pane. Each feeds into the lifecycle engine or provides context for its output. DISCLAIMER This indicator performs mathematical calculations on price data (open, high, low, close) only. It does not use order flow data, volume profile, market depth, bid/ask information, institutional positioning data, or any external data source. Terms like "momentum birth," "reversal atmosphere," "weather," and " lifecycle " are descriptive metaphors for mathematical concepts (derivatives, curvature, efficiency ratios, state classification). They are not claims about market microstructure or participant behavior. No indicator predicts future price movement. MLD identifies mathematical conditions historically associated with specific momentum behaviors. These conditions may or may not produce expected outcomes in any given instance. This tool supplements - it does not replace - a complete trading plan including risk management, position sizing, and multiple forms of analysis. Always use proper risk management. Past indicator behavior does not guarantee future results.
Pine Script®指标
由BullByte提供
10
ATR Trailing Stop + Alert (Long Mode)ATR Trailing Stop (Long Mode) is a volatility-adaptive exit tool designed to protect profits while allowing strong trends to develop. By combining the Average True Range (ATR) with a highest-value trailing mechanism, the stop dynamically adjusts to market conditions and only moves upward during active long trades. This structure helps reduce emotional decision-making and enforces disciplined risk management. As volatility expands, the stop automatically widens to avoid premature exits. As price continues trending higher, the stop locks in gains by trailing behind price action in a systematic way. Key advantages: Volatility-based dynamic stop distance Non-decreasing trailing logic (long-only mode) Clear visual stop levels and break signals Built-in alert for stop hits Ideal for trend followers, swing traders, and systematic traders who want a structured and reliable method for managing long positions without second-guessing exits.
Pine Script®指标
由tk56301提供
Volume Weighted Trend [QuantAlgo]🟢 Overview The Volume Weighted Trend indicator identifies statistically significant trend changes by combining volume-weighted price analysis with volatility-based breakout bands. It calculates a Volume Weighted Moving Average (VWMA) as the central trend baseline, then creates dynamic upper and lower bands using Average True Range (ATR) multipliers to define normal volatility boundaries. When price breaks above the upper band or below the lower band, it signals a confirmed trend change, helping traders and investors identify directional shifts driven by both volume-weighted momentum and volatility expansion across different timeframes and markets. 🟢 How It Works The indicator's core methodology lies in its dual-layer approach combining volume weighting with volatility filtering, where trend changes require both price direction and statistical significance: vwma_basis = ta.vwma(close, vwma_length) atr_value = ta.atr(vwma_length) upper_band = vwma_basis + atr_value * atr_multiplier lower_band = vwma_basis - atr_value * atr_multiplier First, the script calculates the Volume Weighted Moving Average to establish a trend baseline that gives greater weight to periods with higher trading volume, ensuring the trend line reflects significant participation and genuine market conviction rather than low-volume noise. Then, it measures the Average True Range over the same period to quantify current market volatility: atr_value = ta.atr(vwma_length) Next, dynamic volatility bands are constructed by adding and subtracting ATR-based buffers from the VWMA baseline, creating adaptive boundaries that expand during volatile conditions and contract during calm periods: upper_band = vwma_basis + atr_value * atr_multiplier lower_band = vwma_basis - atr_value * atr_multiplier The trend state is then determined through breakout logic that requires price to exceed these volatility-adjusted boundaries: if close > upper_band trend_direction := 1 else if close < lower_band trend_direction := -1 Finally, trend change detection identifies transitions between bullish and bearish states: trend_turned_bullish = trend_direction == 1 and trend_direction != 1 trend_turned_bearish = trend_direction == -1 and trend_direction != -1 This creates a robust trend-following system that only signals directional changes when price makes statistically significant moves beyond normal volatility bounds, with volume weighting ensuring the trend reflects meaningful market activity rather than thin-volume spikes. 🟢 Signal Interpretation ▶ Bullish Trend (Price Above Upper Band): When price closes above the upper volatility band, the indicator switches to bullish mode with green/bullish coloring throughout all visual elements = Confirmed uptrend signal for trend-following long positions. The trend remains bullish until price breaks below the lower band, allowing traders to stay positioned during sustained upward momentum without premature exits on minor pullbacks within the band range. ▶ Bearish Trend (Price Below Lower Band): When price closes below the lower volatility band, the indicator switches to bearish mode with red/bearish coloring throughout all visual elements = Confirmed downtrend signal for trend-following short positions or long exit signals. The trend remains bearish until price breaks above the upper band, enabling traders to maintain directional bias through corrective moves that stay within the band boundaries. ▶ Neutral Zone (Price Between Bands): When price trades between the upper and lower volatility bands, the indicator maintains its previous trend direction = Continuation of existing trend during consolidation or normal volatility retracements. This design prevents whipsaws during sideways action by requiring price to make a significant move beyond opposite-side bands to trigger trend reversal, rather than flip-flopping on minor crosses of the VWMA center line. 🟢 Features ▶ Preconfigured Presets: Three optimized parameter sets for different trading approaches and timeframes. "Default" provides balanced trend detection for swing trading on 4-hour and daily charts, filtering noise effectively while capturing meaningful trend changes. "Fast Response" delivers quicker trend signals for intraday trading on 5-minute to 1-hour charts, with tighter bands triggering earlier on breakouts for active traders who can monitor positions closely. "Smooth Trend" focuses on major trend changes for position trading on daily to weekly timeframes, with wider bands filtering out minor fluctuations to identify only primary directional shifts. ▶ Built-in Alerts: Three alert conditions enable automated monitoring of trend changes without constant chart watching. "Bullish Trend Signal" triggers when the indicator switches to bullish mode after price breaks above the upper band, alerting for potential long entries. "Bearish Trend Signal" activates when the indicator switches to bearish mode after price breaks below the lower band, signaling potential short entries or long exits. "Trend Direction Changed" provides a combined alert for any trend transition regardless of direction, allowing traders to monitor both bullish and bearish opportunities with a single alert setup. ▶ Visual Customization: Six color presets (Classic, Aqua, Cosmic, Cyber, Neon, plus Custom) accommodate different chart backgrounds and aesthetic preferences, with coordinated bullish and bearish color schemes applied across all indicator elements. Optional neon glow effect creates layered visual emphasis around the central VWMA line with three overlapping plots at different transparencies, making the trend line more prominent and easier to track (ideal for charts with multiple indicators where visual distinction is important). Optional volatility ribbons display gradient fills between the VWMA and band boundaries, providing visual context for price position relative to breakout thresholds with adjustable band transparency (0-100%) to control prominence. Optional bar coloring tints price bars with trend-appropriate colors during bullish and bearish periods, enabling instant visual confirmation of trend state across multiple timeframes without switching between chart and indicator panels.
Pine Script®指标
由QuantAlgo提供
25
MA12 x MA80 Bands Signals - JAMMALMA12 × MA80 Bands Signal – Trend Assistant | Jammal This script provides a clean and simple entry-timing assistant based on the interaction between MA12 and dynamic bands around MA80. It helps visualize potential trend-based entry points with clear and non-intrusive signals. The MA80 bands are fully adjustable, allowing you to customize the sensitivity based on the market and timeframe. Features: Trend-based entry assistance MA12 cross with MA80 dynamic bands Adjustable MA80 bands (user-controlled offset) Clear triangles, labels, and short horizontal levels Works on all markets and all timeframes Helps visualize trend interaction and entry timing Designed for traders who want a simple, clean, and supportive trading tool. Supporting tool only – not a complete trading system. Enjoy and happy trading! Jammal
Pine Script®指标
由Jammal提供
AI-Enhanced MSS HunterAI-Enhanced MSS Hunter This indicator is a hybrid trading system that merges Mechanical Price Action (ICT Concepts) with Statistical Machine Learning (K-Nearest Neighbors). It is designed to assist traders in identifying high-probability reversals after liquidity sweeps, as well as trend-continuation entries during specific "Kill Zone" sessions. How It Works The script operates on a strict 3-step validation process to filter out false signals during choppy market conditions. 1. Liquidity Sweep (The Trigger) The system automatically plots the Previous Day High (PDH) and Previous Day Low (PDL). The logic begins only when price "sweeps" (breaks) one of these key levels. State Persistence: Once a level is swept, the system remembers this event for the remainder of the session (or until a signal fires), waiting for the market to reverse. 2. Market Structure Shift (The Setup) After a sweep, the indicator hunts for a Market Structure Shift (MSS). It tracks dynamic Swing Highs and Swing Lows. A signal is prepared only if price breaks a recent structural swing point in the opposite direction of the sweep (e.g., Sweep PDL -> Break Swing High). 3. AI / Machine Learning Filter (The Confirmation) To reduce false positives, the signal must be confirmed by a K-Nearest Neighbors (KNN) algorithm. The Logic: The script analyzes the current values of RSI (14), CCI (14), and ROC (10). The Comparison: It looks back at the last ~1,000 bars of history to find similar market conditions (neighbors). The Prediction: If the majority of those historical "neighbors" resulted in a favorable move, the AI confirms the trade. If historical data suggests chop or reversal, the signal is blocked. Key Features 🎯 Primary Reversal Signals (Circles) Green Circle: Price swept PDL + Bullish MSS + AI Confirmation. Red Circle: Price swept PDH + Bearish MSS + AI Confirmation. ♻️ Golden Zone Re-Entries (Triangles) Once a Primary Signal is active, the script tracks the new trend leg. It automatically draws a dynamic Golden Zone (0.5 – 0.618 Fibonacci Retracement). If price pulls back into this zone and forms a new MSS, a Re-Entry Triangle is plotted. Invalidation: If the pullback breaks the original setup's low/high, the zone is removed to prevent bad trades. ⏰ Kill Zone Time Filters Signals are filtered by time to ensure you are trading during high-volume sessions. Default AM Session: 08:30 – 10:00 (New York Time) Default PM Session: 14:00 – 15:00 (New York Time) Fully customizable in settings. Settings Guide Key Levels: Toggle PDH/PDL lines and customize colors. Kill Zones: Enable/Disable time filtering and highlight background colors. AI Settings: K-Nearest Neighbors (k): Number of historical neighbors to compare (Default: 5). Training Window: How far back the AI looks for patterns (Default: 1000 bars). Visuals: Turn on/off the Golden Zone fib clouds or text labels. Disclaimer This tool is for educational purposes only. The "AI" component is a statistical classification algorithm based on historical momentum and does not guarantee future results. Always manage risk and use this indicator as part of a comprehensive trading plan.
Pine Script®指标
由DivergentTrades提供
Smart Money Flow Signals [QuantAlgo]🟢 Overview The Smart Money Flow Signals indicator synthesizes significant volume-price dynamics through multi-component analysis to identify potential accumulation and distribution phases driven by substantial market participants. It combines Money Flow Index momentum, Chaikin Money Flow accumulation patterns, volume-weighted price momentum, and buying/selling pressure metrics into a unified composite oscillator that quantifies periods of concentrated capital movement, helping traders and investors identify conditions where significant volume participants may be actively positioning across multiple market conditions and timeframes. 🟢 How It Works The indicator's core methodology lies in its weighted composite approach, where multiple volume-price components are calculated sequentially and then integrated to create a comprehensive significant flow activity signal. First, the Money Flow Index (MFI) is calculated to measure buying and selling pressure by incorporating volume into price momentum analysis: raw_money_flow = source * volume positive_flow = source >= source ? raw_money_flow : 0 negative_flow = source < source ? raw_money_flow : 0 positive_money_flow = math.sum(positive_flow, mfi_period) negative_money_flow = math.sum(negative_flow, mfi_period) money_flow_index = 100 - 100 / (1 + positive_money_flow / negative_money_flow) This creates an RSI-style momentum indicator that tracks whether money (price × volume) is flowing into or out of the asset, with values ranging from 0 to 100 where readings above 50 suggest buying pressure dominance. Then, Chaikin Money Flow (CMF) is computed to evaluate accumulation and distribution by analyzing where prices close within each bar's range, weighted by volume: money_flow_multiplier = high != low ? (close - low - (high - close)) / (high - low) : 0 money_flow_volume = money_flow_multiplier * volume volume_sma = ta.sma(volume, trend_period) chaikin_money_flow = volume_sma != 0 ? ta.sma(money_flow_volume, trend_period) / volume_sma : 0 Positive CMF values indicate accumulation (closes near the high of the range), while negative values indicate distribution (closes near the low of the range), with volume weighting emphasizing periods of significant participation. Next, Volume Analysis is performed to quantify current volume intensity relative to historical averages: volume_average = ta.sma(volume, trend_period) volume_strength = volume_average != 0 ? volume / volume_average : 1 volume_weight = math.log(volume_strength + 1) The logarithmic transformation creates a volume weight that amplifies signals during high-volume periods while preventing extreme volume spikes from overwhelming the composite calculation. Following this, Buy/Sell Pressure is quantified by comparing cumulative volume during bullish versus bearish candles: buying_pressure = math.sum(volume * (close >= open ? 1 : 0), trend_period) selling_pressure = math.sum(volume * (close < open ? 1 : 0), trend_period) pressure_ratio = (buying_pressure - selling_pressure) / (buying_pressure + selling_pressure) * 100 This creates a directional pressure ratio that reveals whether significant participants are predominantly buying or selling, expressed as a percentage between -100 (all selling) and +100 (all buying). Then, Volume-Weighted Momentum is calculated through an exponential smoothing channel that adjusts price deviation based on volume intensity: exponential_smooth_average = ta.ema(source, momentum_channel_period) deviation = ta.ema(math.abs(source - exponential_smooth_average), momentum_channel_period) channel_index = deviation != 0 ? (source - exponential_smooth_average) / (0.015 * deviation) * (1 + volume_weight * 0.5) : 0 This channel index measures how far price has deviated from its exponential average relative to typical deviation, with the volume weight multiplier (1 + volume_weight * 0.5) amplifying the signal when significant volume accompanies the price movement. Finally, the Composite Wave is constructed by combining all components with specific weighting to create the final oscillator: momentum_wave = ta.ema(channel_index, trend_period) money_flow_wave = (money_flow_index - 50) * 1.2 chaikin_flow_wave = chaikin_money_flow * 100 composite_wave = momentum_wave * 0.5 + chaikin_flow_wave * 0.3 + money_flow_wave * 0.2 smoothed_wave = ta.sma(composite_wave, signal_smoothing) This creates a multi-dimensional volume flow oscillator that combines price-volume momentum, accumulation-distribution patterns, and buying-selling pressure into a single signal, providing traders with probabilistic insights into periods of concentrated market activity and directional bias based on weighted component convergence. 🟢 Signal Interpretation ▶ Positive Values (Above Zero, Green): Composite money flow above equilibrium indicating net accumulation pressure, positive buying volume dominance, and bullish volume-price alignment = Favorable conditions for long positions, significant capital flowing into the asset = Buy/hold opportunities ▶ Negative Values (Below Zero, Red): Composite money flow below equilibrium indicating net distribution pressure, negative selling volume dominance, and bearish volume-price alignment = Unfavorable conditions for long positions, significant capital flowing out of the asset = Sell/short opportunities ▶ Extreme Overbought Zone: Excessive bullish money flow indicating potential accumulation exhaustion, where buying pressure may have reached unsustainable levels with elevated reversal risk = Caution on new longs, potential distribution phase beginning, profit-taking zone for existing positions ▶ Extreme Oversold Zone: Excessive bearish money flow indicating potential distribution exhaustion, where selling pressure may have reached unsustainable levels with elevated reversal risk = Caution on new shorts, potential accumulation phase beginning, buying opportunity zone for contrarian entries ▶ Smoothed Trend Line (White) Alignment: When the smoothed trend line confirms the composite wave direction, it validates the underlying volume-price trend and filters false signals caused by short-term noise ▶ Volume Intensity Correlation: Gradient intensity (color saturation) reflects combined wave strength, volume participation, and directional alignment, where darker/more saturated colors indicate stronger concentrated activity and higher-probability directional moves 🟢 Features ▶ Preconfigured Presets: Three optimized parameter configurations accommodate different trading styles, timeframes, and market analysis approaches. 1. "Default" provides balanced volume flow measurement suitable for swing trading on 4-hour and daily charts, offering moderate responsiveness to money flow shifts with standard RSI-equivalent MFI period and moderate smoothing for most market conditions. 2. "Fast Response" delivers heightened sensitivity optimized for active intraday trading and scalping on 1-minute to 1-hour charts, using compressed calculation periods across all components and minimal smoothing to capture rapid volume flow changes and quick trend shifts as they develop, ideal for early entry/exit opportunities with acceptance of increased signal frequency during consolidation. 3. "Smooth Trend" offers conservative extreme identification ideal for position trading and long-term analysis on daily to weekly charts, employing extended periods across all money flow components with substantial smoothing to filter short-term noise and isolate only strong, sustained accumulation and distribution phases driven by significant volume participants. ▶ Built-in Alerts: Seven alert conditions enable comprehensive automated monitoring of significant money flow transitions and extreme market states. 1. "Bullish Flow" triggers when the composite wave crosses above zero, signaling the shift from distribution to accumulation and concentrated buying activity beginning. 2. "Bearish Flow" activates when the composite wave crosses below zero, signaling the shift from accumulation to distribution and concentrated selling activity starting. 3. "Any Flow Direction Change" provides a combined notification for either bullish or bearish crossover regardless of direction, useful for general money flow momentum shifts. 4. "Extreme Overbought" alerts when the composite wave reaches or exceeds the overbought threshold (default +60), indicating excessive buying pressure and potential exhaustion. 5. "Extreme Oversold" notifies when the composite wave reaches or falls below the oversold threshold (default -60), indicating excessive selling pressure and potential capitulation. 6. "Overbought Reversal" triggers specifically when the wave crosses back down through the overbought level after being extended, signaling the beginning of distribution from extreme levels. 7. "Oversold Reversal" activates when the wave crosses back up through the oversold level after being extended, signaling the beginning of accumulation from extreme levels. ▶ Color Customization: Six visual themes (Classic, Aqua, Cosmic, Ember, Neon, plus Custom) accommodate different chart backgrounds and visual preferences, ensuring optimal contrast and immediate identification of bullish versus bearish volume flow conditions across various devices and screen sizes. Optional bar coloring provides instant visual context of current significant volume activity intensity and direction without switching between the price pane and indicator pane, enabling traders and investors to immediately assess volume-price positioning dynamics while analyzing price action.
Pine Script®指标
由QuantAlgo提供
14