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Momentum Pulse | AnonycryptousMomentum Pulse | Anonycryptous Description & user manual Why this indicator is different Standard momentum indicators give you one line. RSI tells you whether the market is overbought or oversold at one specific lookback period. MACD tells you whether one moving average is pulling away from another. One perspective. One answer. The problem is that momentum does not exist at one lookback period. A 14-period RSI can be flat while a 7-period RSI is already reversing. A 21-period RSI can still be bullish while the fast momentum has already rolled over. By looking at one line you are always missing what is happening at adjacent timescales — and those are precisely where the early signals live. Momentum Pulse works differently. Instead of one RSI it runs twenty simultaneously, each at a different lookback period. The shortest strand captures the fastest momentum shifts. The longest strand reflects the slower, sustained trend. Together they form a ribbon — a fluid, living visualization of where momentum is coming from, where it is heading, and how much agreement exists across timescales. The ribbon does not just show direction. It shows compression and expansion. When the strands fan out, momentum is building with conviction. When they compress, the market is coiling — and that compression often precedes the next directional move. When the fast strands lead the slow strands, the trend has energy behind it. When they cross or collapse toward each other, momentum is fading before it is visible in price. This is momentum before the move. Important notice Momentum Pulse is provided for analytical and educational purposes only. It does not generate trading signals. It does not predict market direction. It does not guarantee any outcome. All trading decisions remain entirely with the user. Always apply your own judgment and manage your own risk. 1. Overview Momentum Pulse is a twenty-strand RSI ribbon oscillator built on RSI processed through zero lag EMA smoothing. It maps momentum across twenty simultaneous lookback periods and visualizes the full structure of momentum strength, direction, compression, and divergence in a single pane. What it includes: - Twenty RSI strands normalized to a −50 to +50 scale around a zero midline - Zero lag EMA smoothing applied per strand to reduce response lag - Fast and slow group averaging with spread-based trend detection - Twist/Squeeze detection when fast and slow groups compress below the threshold - Momentum histogram showing the distance between fast and slow group averages - Ribbon slope line showing the rate of change of the fast group average - Divergence detection comparing price pivots with fast group momentum pivots - Three presets: default for swing, fast for scalping, smooth for position trading - Live dashboard showing momentum state, averages, spread, twist, zone, slope, and divergence - Six alert conditions covering state changes, compression, and divergence events 2. Core components 2.1 RSI strands Twenty RSI calculations run simultaneously, each at a different lookback period. The first strand uses the base length. Each subsequent strand adds the length step, spreading the ribbon from fast to slow momentum perspectives. All values are normalized to a −50 to +50 scale around a zero midline, making every strand directly comparable regardless of its period. 2.2 Zero lag EMA smoothing Each RSI strand is smoothed using a zero lag EMA. Standard EMA smoothing introduces lag because it weights recent bars less than current price. ZLEMA compensates by incorporating the momentum of recent change before applying the average — the ribbon reacts to momentum shifts on the current bar, before the move has confirmed on price. 2.3 Fast and slow group trend detection The ribbon is divided into two groups. The fast group uses strands one through five — the shortest lookback periods. The slow group uses strands sixteen through twenty — the longest. When the fast group average is above the slow group average, momentum is bullish. When it is below, momentum is bearish. When the spread between the two groups falls below the twist threshold, the oscillator enters a Twist/Squeeze state. This logic is independent of overbought and oversold levels and works reliably in all market conditions. 2.4 Momentum histogram The histogram plots the distance between the fast and slow group averages near the zero midline. Wide bars indicate strong momentum separation — the trend has conviction. Narrow bars indicate the ribbon is compressing — momentum is fading or transitioning. 2.5 Ribbon slope The slope line measures the rate of change of the fast group average over a configurable number of bars. A rising slope indicates momentum is accelerating into the trend. A falling slope indicates momentum is decelerating, a possible sign of exhaustion. A flat slope indicates consolidation or a transition that has not committed to a direction. 2.6 Divergence detection The indicator compares recent price pivots against fast group average pivots over a configurable lookback window. A bullish divergence fires when price makes a lower low but the fast group average holds higher — hidden strength beneath the surface. A bearish divergence fires when price makes a higher high but the fast group average rolls over — hidden weakness. Both conditions trigger a background flash on the pane. 3. Presets Three preset configurations are available. Selecting a preset overrides the core calculation parameters. -Default — swing trading on 4H and daily charts RSI base 10 | ZLEMA 5 | step 2 | twist threshold 1.5 Balanced ribbon for trend following and swing setups across most market conditions. -Fast — scalping on 1 minute to 15 minute charts RSI base 7 | ZLEMA 3 | step 2 | twist threshold 1.0 Shorter periods and a tighter twist threshold for early detection of momentum shifts and reversals before they appear in price. -Smooth — position trading on daily and weekly charts RSI base 14 | ZLEMA 8 | step 3 | twist threshold 2.5 Wider spread and longer periods. Only high-conviction momentum moves register. Filters out intraday noise. 4. Visual guide Ribbon fanning upward — bullish momentum expanding across multiple timescales. Ribbon fanning downward — bearish momentum expanding. Ribbon compressing toward center — Twist/Squeeze state, potential breakout building. Grey background shading — active Twist/Squeeze state. Green background flash — bullish breakout bar, ribbon exiting compression. Red background flash — bearish breakout bar. Warm/orange flash — bullish divergence detected. Red dim flash — bearish divergence detected. Green circle at oversold — bullish signal condition. Red circle at overbought — bearish signal condition. Histogram bars — momentum strength between fast and slow groups. Wide = strong trend. Narrow = compression. Slope line — acceleration or deceleration of fast group momentum. 5. Dashboard reference The dashboard provides live readings across all components. Momentum — current ribbon state: bullish, bearish, or twist. Fast avg — average of the five fastest strands. Slow avg — average of the five slowest strands. Spread — distance between fast and slow group averages. Twist — whether the ribbon is compressed below the twist threshold. Zone — whether the ribbon is extended, compressed, or neutral relative to overbought/oversold levels. Slope — momentum acceleration state: accel, decel, or flat. Divergence — active bullish divergence, bearish divergence, or none. Signal — last signal fired. 6. Alerts Six alert conditions are available: - Bullish: ribbon flips to bullish state. - Bearish: ribbon flips to bearish state. - Twist: ribbon enters Twist/Squeeze compression. - Bullish divergence: price makes a lower low while momentum holds higher. - Bearish divergence: price makes a higher high while momentum weakens. - Any change: fires on any of the above transitions. All alerts include exchange, ticker, and interval in the message. 7. Settings reference Calculation parameters - Source: price input for RSI calculations - Base length: lookback period for the fastest ribbon strand - Length step: increment between each subsequent strand - RSI length: base RSI period for all strand calculations - ZLEMA length: zero lag EMA smoothing period per strand - Twist threshold: minimum spread required to declare a trend; below this = Twist/Squeeze - Divergence lookback: window for comparing price and momentum pivots - Slope length: bars used to calculate ribbon acceleration - Preset: default, fast, or smooth Visualization settings - Color preset: classic (green/red) or custom - Bullish, bearish, and twist/squeeze colors - Min transparency: opacity of the fastest (leading) strand - Max transparency: opacity of the slowest (lagging) strand Level settings - Overbought level: reference line (does not affect trend logic) - Oversold level: reference line (does not affect trend logic) Dashboard settings - Show dashboard - Dashboard size: tiny, small, or normal 8. How to use 8.1 Lower timeframes (1 minute to 15 minutes) Use the fast preset. Monitor the ribbon for compression before expansion — Twist/Squeeze states often precede directional moves. A rising slope combined with bullish ribbon expansion confirms momentum is accelerating. A divergence forming while the ribbon is still in compression indicates a directional move is building before it appears in price. Only take bullish setups when the ribbon is bullish or just exiting a Twist state with a rising slope and no active bearish divergence. Only take bearish setups with the reverse conditions. 8.2 Higher timeframes (1H, 4H, daily) Use the default preset on 1H and 4H. Use the smooth preset on daily and weekly charts. A wide, sustained ribbon fan on higher timeframes confirms momentum has conviction. Ribbon compression while price action narrows indicates trend exhaustion — consider reducing exposure and waiting for re-expansion. Divergence on daily charts carries significant weight and should be treated as a major reversal warning. 8.3 Dashboard reading guide Slope accel + momentum bullish — trend strengthening, momentum building. Slope decel + momentum bullish — trend weakening, watch for reversal. Divergence bear + trend bullish — exit warning, confluence fading. Twist yes + spread narrowing — breakout setup forming, wait for direction. 8.4 Standalone use Momentum Pulse works as a standalone oscillator for any strategy or existing indicator setup. The ribbon provides directional momentum bias. The divergence detector flags hidden reversals before they appear in price. The slope line shows whether momentum is building or fading. The histogram confirms trend strength between fast and slow groups. No other indicator is required. 9. Disclaimer This indicator is provided for educational and informational purposes only. All outputs are based on historical price action calculations and do not guarantee future results. Trading financial instruments involves significant risk of loss. Past performance does not indicate future results. Use at your own discretion.
Pine Script® indicator
by Anonycryptous
CHOP Filter (ADX + Choppiness Index) CHOP Filter (ADX + Choppiness Index Hybrid Indicator) This indicator is designed to improve decision-making by filtering out choppy environments that traditional ADX-based systems may still misinterpret as valid trends. It is best used to filter and confirm your usual entry signals from other indicators or strategies, improving their probability of success. Green → Strong trend (ADX above threshold + low choppiness → clean trending conditions) Yellow → Strong ADX but high choppiness (possible unstable or transitional trend) Red → Weak trend / ranging market (low ADX + high choppiness index) The CHOP Filter is a custom volatility and trend-strength indicator that combines the Average Directional Index (ADX) with a simplified Choppiness Index (CHOP) logic to better distinguish between trending and ranging market conditions. This hybrid approach was developed after observing a common issue in trading: even when the ADX shows relatively strong values, the market can remains choppy and produce unreliable trend signals. On the other hand, using the Choppiness Index alone was not sufficient either, as it does not consistently confirm actionable trend strength. By combining both concepts, this indicator aims to provide a more reliable market filter. The indicator is based on two well-known tools: The ADX (Average Directional Index) was originally developed by J. Welles Wilder to measure trend strength. The Choppiness Index was created by E.W. Dreiss to determine whether the market is trending or ranging. The indicator plots only the ADX line, but dynamically adjusts its color based on both trend strength and market structure: How to Use: - Focus on green phases for high-probability trend trading setups - Be cautious during yellow phases, as trends may be unstable or deceptive - Avoid trend-following strategies during red phases, where markets are likely ranging
Pine Script® indicator
by hedge2
Velorum Deviation Corridor [JOAT]Velorum Deviation Corridor Introduction Velorum Deviation Corridor is an open-source adaptive price envelope designed to measure directional bias, stretch, and compression around a dynamic baseline. The script does not treat all volatility the same. It allows different baseline engines and different width engines, then converts that information into an overlay corridor that can show trend continuation, overextension, and volatility contraction in one place. The problem this script solves is that static envelopes often fail when market speed changes. A fixed moving average with a fixed-width band may lag badly during acceleration and overreact during compression. Velorum addresses that by pairing adaptive baseline logic with multiple volatility models, then confirming state shifts only after bars close. The result is a directional overlay that can function as a trend frame, pullback map, and stretch monitor. Core Concepts 1. Adaptive Baseline Selection The script allows the user to choose among several baseline models: EMA, Hull, Adaptive KAMA, VIDYA, FRAMA, and Gaussian smoothing. This makes the corridor usable across different styles. Faster baselines react more quickly to rotation. More adaptive baselines try to react quickly in clean trends and slow down in noisy environments. 2. Multi-Model Width Estimation The width engine can use ATR, standard deviation, Parkinson volatility, efficiency range, or a hybrid model. This matters because volatility can be defined in different ways. ATR captures absolute travel, standard deviation captures dispersion, Parkinson emphasizes high-low structure, and the hybrid approach blends multiple aspects into one corridor width. widthModel = input.string("Hybrid Volatility", "Width Model", options = ) 3. Compression and Expansion Detection The script tracks corridor width over a rolling lookback and compares it against a compression percentile. When width contracts into the lower part of its recent range, the script identifies a compression state. When width expands with directional slope and position agreement, the script identifies expansion. This helps distinguish quiet consolidation from meaningful travel. 4. Trend State and Stretch Logic Trend state is determined by baseline slope, price position relative to the corridor, and confirmation bars. The script also measures stretch so users can see whether price is trading inside the value area of the corridor, near the edge, or outside it. That makes it useful for both continuation logic and reversion-aware caution. 5. Transition Ribbon, Reaction Shelves, and Drift Lanes The overlay uses outer bands, inner bands, corridor fills, glow layers, and a narrow transition ribbon around the baseline. It also projects on-chart structure when important corridor events occur. Confirmed constructive and defensive shifts can create forward shelf boxes. Confirmed excursions outside the corridor can create upper and lower drift lanes. Compression and expansion transitions can also stamp temporary forward boxes directly on the chart, turning the corridor into a working structure map instead of only a band set. Features Six baseline models: EMA, Hull, Adaptive KAMA, VIDYA, FRAMA, and Gaussian Five width engines: ATR, standard deviation, Parkinson, efficiency range, and hybrid volatility Compression detection: Width percentile model highlights contraction phases Trend confirmation bars: Direction changes require confirmation before they are treated as valid Stretch context: Shows whether price is centered, extended, or outside the corridor Layered overlay: Baseline, glow, inner bands, outer bands, fills, and transition ribbon Reaction shelves: Confirmed constructive and defensive shifts can project forward box zones on the chart Drift lanes: Confirmed closes outside the corridor can stamp directional lane boxes Compression shelf and expansion release: Corridor state transitions can create temporary forward structure boxes On-chart labels: Shelf, lane, and release labels appear directly on the price chart Compact dashboard summary: Trend state, regime, stretch, strength, and confirmed shift in a smaller top-right panel Confirmed-bar alerts: Lift, fade, compression, and expansion events Input Parameters Core Engine: Source Baseline Model Baseline Length Fast and Slow Components for adaptive models Trend State: Trend Confirmation Bars Slope Lookback Trend Strength Length Compression Lookback Compression Percentile Width Model: Width Model Width Length Width Multiplier Elasticity Factor How to Use This Indicator Step 1: Identify the Baseline Bias Start with price relative to the baseline and the dashboard's Trend State row. If price is holding above a rising baseline, the corridor is acting as bullish structure. If price is holding below a falling baseline, the corridor is acting as bearish structure. Step 2: Check Compression Before Breakouts Compression phases are useful because directional expansions often begin after width contracts. If the chart is tinted for compression and width percentile is low, watch for a confirmed shift rather than treating every small move as a new trend. Step 3: Use Inner vs Outer Bands Differently The inner bands are the working area for pullbacks and value. The outer bands represent more extended travel. When price repeatedly walks an outer band, that is continuation behavior. When price snaps outside and immediately loses follow-through, that is often stretch rather than sustainable expansion. Step 4: Use Reaction Shelves and Drift Lanes as Forward Reference When a confirmed constructive or defensive shift occurs, Velorum can project a forward shelf box. When price closes beyond the outer corridor, it can print a drift lane. These structures are intended to mark the part of the chart where continuation behavior should stay organized. If price immediately loses those zones, the move is weakening. Step 5: Treat Confirmed Shift as the State Change The confirmed shift output is still the important regime event. Intrabar movement can test both sides of the corridor, but the script only promotes a new state after bar confirmation and only stamps new corridor structures after confirmation. Indicator Limitations No single baseline model is best for every market; users may need to select a model appropriate for their instrument and timeframe Compression does not guarantee breakout direction, only reduced width A fast corridor can overreact in noisy markets while a slow corridor can lag during sharp reversals Stretch beyond the outer band can persist longer than expected in strong trends Reaction shelves and drift lanes are contextual structure tools, not guaranteed support or resistance Originality Statement Velorum Deviation Corridor is original in the way it separates the baseline problem from the width problem and lets those two adaptive layers interact in one confirmed-state overlay. The script is not simply a renamed moving average envelope. It combines multiple smoothing families, multiple volatility families, width percentile compression logic, stretch-state interpretation, transition-ribbon state framing, and event-driven forward shelf and lane boxes into one cohesive corridor framework. Disclaimer This script is provided for educational and informational purposes only. It is not financial advice. Corridor behavior is based on historical price action and can lag, compress, or expand unpredictably during unusual market conditions. Always evaluate signals in context and use appropriate risk controls.
Pine Script® indicator
by officialjackofalltrades
Auric Regime Classifier [JOAT]Auric Regime Classifier Introduction Auric Regime Classifier (ARC) is an open-source, multi-factor market regime detection engine that classifies every confirmed bar into one of five distinct market states: Strong Bull, Weak Bull, Ranging, Weak Bear, or Strong Bear — with a special Compression override that fires when volatility is contracting. The engine uses five independent data sources — adaptive ATR volatility ratio, Bollinger Band squeeze detection, SMEMA trend slope, ADX directional index, and RSI momentum bias — fused through a weighted scoring system into a single net score that drives the regime classification. The problem ARC solves is that most traders apply a fixed strategy regardless of whether the market is trending strongly, drifting weakly, compressing before a breakout, or chopping without direction. Each of those conditions demands a completely different approach. Applying a trend-following system in a ranging market produces losses. Trading with tight stops in a compression phase produces whipsaws. ARC gives you a clear, real-time label for the current market phase so you can match your approach to the conditions rather than fighting them. Core Concepts 1. SMEMA Adaptive Baseline The indicator uses SMEMA (Simple Moving Average of Exponential Moving Average) as its core trend baseline — a proprietary double-smoothing construct used throughout the JackOfAllTrades indicator suite. SMEMA applies a standard EMA first to capture responsiveness, then a SMA over the same period to suppress noise. The result is a baseline that reacts faster than a raw SMA but is smoother than a raw EMA: smema(float src, int len) => ta.sma(ta.ema(src, len), len) Two SMEMA lines run in parallel: a slow line over the full period (default 20) and a fast line at half the period. Their slope comparison over three bars determines the trend direction score. When the slow SMEMA slopes upward for three consecutive bars, two bull points are awarded. When it slopes downward, two bear points are awarded. 2. Adaptive ATR Volatility Ratio ATR over the input period (default 14) is compared against a long-run SMA of ATR (default 50 bars) to produce a volatility expansion/contraction ratio: float volRatio = safeDiv(atrRaw, atrBase, 1.0) A ratio above 1.1 in the direction of the existing trend awards a bonus point — recognizing that trend moves are more reliable when accompanied by above-average volatility. This prevents the engine from scoring weak, low-volume drifts as strongly as genuine impulsive moves. 3. Bollinger Band Squeeze Detection The indicator measures Bollinger Band bandwidth (upper minus lower) and compares it against its own 100-bar SMA. When bandwidth falls below the configurable threshold fraction (default 0.75) of its smoothed average, the market is classified as Compressing. Compression overrides all other regime classifications — a compressing market has no valid directional edge regardless of what the other signals say: bool isSqz = bbBW < bbBWAvg * sqzPct A Squeeze Release signal fires when compression ends (isSqz transitions from true to false), marking the potential start of an expansion move. 4. ADX Directional Index ADX (Average Directional Index) and the +DI/-DI directional lines are calculated using Pine Script v6's built-in ta.dmi() function. ADX above the threshold (default 25) confirms that the market is in a genuine trending regime rather than a sideways range. The directional bias of +DI vs -DI adds two bull or bear points to the regime score: = ta.dmi(adxLen, adxLen) bool isBullDir = diPlus > diMinus bool isBearDir = diMinus > diPlus 5. Regime Scoring Engine All five components feed a dual-sided scoring system. Bull and bear points are accumulated independently, and the net score (bull minus bear, range -6 to +6) determines the regime code: int bullPts = (trendUp ? 2 : 0) + (isBullDir ? 2 : 0) + (rsiBull ? 1 : 0) + ((volRatio > 1.1 and trendUp) ? 1 : 0) int netScore = bullPts - bearPts int regCode = isSqz ? 0 : netScore >= 4 ? 2 : netScore >= 1 ? 1 : netScore <= -4 ? -2 : netScore <= -1 ? -1 : 0 Strong Bull requires a net score of +4 or higher (all four components aligned). Weak Bull requires +1 to +3. Ranging sits at 0. The mirror applies for bearish regimes. 6. Trend Strength Score (0-100) Beyond the categorical regime label, ARC produces a continuous trend strength score that measures conviction within the current regime. It combines a distance score (how far price is from the SMEMA baseline in ATR units, capped at 50 points) with a momentum score (RSI deviation from 50 in the trend direction, capped at 50 points). A score of 70+ indicates a strong, high-conviction regime. Below 40 indicates a weak or transitional state. Features Five-State Regime Classification: Every bar labeled Strong Bull, Weak Bull, Ranging, Weak Bear, or Strong Bear with a Compression override — no ambiguity SMEMA Ribbon: Fast and slow SMEMA lines with a gradient fill between them, colored by the current regime state for instant visual context Regime Background Tint: Subtle, semi-transparent background coloring that shifts with the regime — green family for bull states, red family for bear, yellow for compression Candle Coloring: Bar colors inherit the regime color at reduced opacity, giving every candle immediate regime context without obscuring price action Squeeze Markers: Circle markers on the SMEMA baseline during compression, with a diamond signal at the moment of squeeze release Trend Strength Score: A 0-100 numeric score with a Strong/Moderate/Weak label updated each bar, shown in the dashboard Regime Change Alerts: Alert fires on every confirmed regime state transition with either plain text or structured JSON for webhook delivery 12-Row Dashboard (Top Right): Displays current regime, trend strength score, ADX value and trending/ranging status, +DI/-DI directional reading, volatility ratio, Bollinger Band state, RSI, timeframe, and version Watermark: JackOfAllTrades signature rendered at chart center-bottom Input Parameters Core Engine: ATR Length: Period for raw ATR calculation (default: 14) ATR Smoothing Period: Baseline ATR lookback for volatility ratio (default: 50) Directional Index: ADX / DI Length: Period for +DI, -DI, and ADX (default: 14) Trend Threshold: ADX level above which the market is considered trending (default: 25) Volatility Band: BB Length: Bollinger Band period (default: 20) BB Multiplier: Standard deviation multiplier (default: 2.0) Squeeze Threshold: Bandwidth fraction of its 100-bar SMA below which compression is declared (default: 0.75) Trend Engine: SMEMA Length: Period for the double-smoothed baseline (default: 20) RSI Length: Momentum confirmation period (default: 14) Visuals / Dashboard / Alerts: Theme: Auto, Dark, or Light — auto-detects chart background Regime Background Tint: Toggle the subtle background color Show SMEMA Baseline: Toggle the ribbon plots Show Squeeze Markers: Toggle the circle and diamond markers Show Dashboard: Toggle the 12-row information panel Show Watermark: Toggle the JackOfAllTrades signature Webhook JSON Format: Switch alert messages between plain text and JSON Color Palette: All six regime colors are individually customizable How to Use This Indicator Step 1: Read the Regime The dashboard regime field and the background tint tell you exactly where the market stands. This single label is the most actionable piece of information — it drives which strategy is appropriate. Step 2: Match Your Approach to the Regime Strong Bull / Strong Bear: All four scoring components are aligned. High-conviction directional trades, trend-following entries on pullbacks to the SMEMA ribbon Weak Bull / Weak Bear: Only one or two components agree. Lighter position sizing, wider stops, prepare for a possible regime shift Ranging: Net score near zero — avoid directional trades, consider mean-reversion or wait for breakout Compression: All directional analysis is suspended. Reduce exposure, prepare for a breakout in either direction, and watch the squeeze release signal for timing Step 3: Use Trend Strength for Conviction Within any directional regime, the strength score tells you how far into that regime the market has moved. A Strong Bull reading with a strength score of 85 is a very different trade environment from one with a strength score of 42. Use the score to scale position size or filter lower-conviction entries. Step 4: Set Alerts on Regime Transitions The regime-change alert fires the moment a new regime is confirmed on bar close. Enable the Strong Bull and Strong Bear alertconditions specifically to catch the high-conviction regime entrances. Indicator Limitations All five components are backward-looking. The regime label describes what has happened over the lookback windows — not what will happen. A Strong Bull classification can reverse on the very next bar The warmup period (equal to the longest lookback, at least 50 bars) means the indicator produces no signals on the first several bars of any chart, including after switching timeframes Compression detection uses a 100-bar SMA of bandwidth, which is a long-run reference. On very short or illiquid charts with few bars, the bandwidth average may not be reliable The five-state classification uses fixed score thresholds (+4 for Strong, +1 for Weak). These thresholds are not auto-calibrated to the instrument. In range-bound markets where ADX rarely exceeds 20, the Strong Bull/Bear states may rarely appear RSI and ADX both work with default periods. No single set of periods is optimal across all assets and timeframes. Users may need to adjust periods when applying to highly volatile assets or longer timeframes Originality Statement ARC is original in its synthesis approach and the use of SMEMA as the core trend baseline. This indicator is published because: The SMEMA construct (SMA of EMA) is a proprietary double-smoothing formula used consistently across the JackOfAllTrades suite — it provides a smoother baseline than raw EMA while retaining more responsiveness than raw SMA, and it is not a standard available in typical indicator libraries The dual-sided bull/bear point system scores each directional component independently before computing a net score. This is distinct from composite oscillators that blend components into a single signed value — the dual-side approach preserves information about how many bear components are active even when the net score is positive The Compression override takes precedence over all directional scores, explicitly suspending regime analysis during volatility contractions. Most regime indicators simply produce lower directional readings in compression without explicitly declaring the compression state The trend strength score combines an ATR-normalized price distance with an RSI momentum deviation to produce a conviction metric that is distinct from the categorical regime label Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss. Market regime classifications are based entirely on historical data and past behavior. A market classified as Strong Bull can and will reverse at any time. The Compression state does not guarantee a subsequent breakout, and the direction of any eventual breakout cannot be predicted from compression alone. Always apply proper risk management. The author is not responsible for any trading losses resulting from the use of this indicator. -Made with passion by jackofalltrades
Pine Script® indicator
by officialjackofalltrades
Aegis Pulse & Energy [wjdtks255]■ 1. Overview Aegis Pulse & Energy is a hybrid strength oscillator that synchronizes trend intensity with capital flow. It filters out weak, manipulative price movements and identifies high-conviction trends where actual "Smart Money" is active, represented as the market's vital pulse. ■ 2. Technical Breakdown (The Energy Engine) ADX Trend Intensity: Measures the pure strength of a trend, regardless of direction. A surge above the 25 threshold indicates the start of a high-energy movement. MFI Accumulation Logic: Tracks the volume-weighted relative strength (Money Flow Index) to confirm if price moves are backed by genuine liquidity. Hybrid Momentum Filter: Combines trend strength and money flow into a single visual gauge, changing colors based on the synergy between the two. ■ 3. Key Visual Signals Gold Pulse (Strong Energy): Appears when the trend is powerful (ADX > 25) and capital is aggressively flowing in. This is the "Prime Trend" signal. Cyan Pulse (Trend Activation): Indicates a developing trend with healthy liquidity, often seen at the beginning of a major shift. Gray Wave (Low Energy): Signifies a weak, sideways market where price movement lacks conviction and capital flow is stagnant. ■ 4. How to Use (Strategy Guide) Energy Confirmation: Do not enter trades when the pulse line is Gray. Wait for the line to turn Cyan or Gold to ensure you are trading with the market's momentum. Money Flow Divergence: Observe the histogram; if the pulse line is high but the histogram is shrinking, it warns of a potential "Exhaustion" where the trend is losing its financial backing. ■ 5. Originality & Disclaimer The originality of Aegis Pulse & Energy lies in its "Trend-Liquidity Synchronicity." Unlike standard oscillators, it prevents entering "Dead Trends" that lack volume support. This tool is for educational purposes only; all financial risks are the responsibility of the user.
Pine Script® indicator
by wjdtks255
Prismatic Trend Matrix [JOAT]Prismatic Trend Matrix Introduction The Prismatic Trend Matrix is an advanced open-source multi-dimensional trend analysis system that combines Hull Moving Average, SuperTrend, ADX strength filtering, and moving average confluence into a unified trend detection engine. This indicator analyzes trend across multiple dimensions simultaneously, creating a prismatic view of market direction with gradient visualization that reveals trend strength and conviction. Unlike single-indicator trend systems, the Prismatic Trend Matrix provides multi-layered trend intelligence through Hull MA smoothing, SuperTrend band analysis, ADX strength measurement, and EMA/SMA alignment detection. The indicator is designed for traders who understand that strong trends require confirmation across multiple analytical dimensions. Why This Indicator Exists This indicator addresses the need for comprehensive trend analysis that goes beyond simple moving averages. By combining four distinct trend methodologies with gradient visualization, it reveals: Hull Moving Average: Weighted moving average with reduced lag for responsive trend detection SuperTrend Component: ATR-based bands that identify trend direction and support/resistance ADX Strength Filter: Measures trend strength to separate strong trends from weak/choppy conditions Moving Average Matrix: Three EMAs and two SMAs create alignment-based trend confirmation Trend Classification: Five-state system (Strong Bull, Weak Bull, Sideways, Weak Bear, Strong Bear) Counter-Trend Detection: Identifies potential reversals when price moves against established trend Prismatic Gradient: Visual fill between Hull MA and SuperTrend shows trend intensity Core Components Explained 1. Hull Moving Average (HMA) The Hull MA uses weighted moving averages to create a smooth trend line with minimal lag: The calculation involves three steps: Step 1: Calculate WMA of half-length period Step 2: Calculate WMA of full-length period Step 3: Calculate WMA of the difference using square root of length The result is a moving average that responds quickly to price changes while maintaining smoothness. The indicator applies additional EMA smoothing (default 3 periods) to reduce noise. 2. SuperTrend Calculation SuperTrend uses ATR-based bands to identify trend direction: Source: Average of high and low (HL2) Upper Band: Source + (ATR × Factor) Lower Band: Source - (ATR × Factor) Direction: Bullish when close > upper band, bearish when close < lower band Three modes control band adjustment: Strict Mode: Bands adjust only when price crosses or previous band is breached Quick Mode: Bands adjust when price crosses previous band Quicker Mode: Bands adjust immediately with price SuperTrend provides dynamic support/resistance levels that adapt to volatility. 3. ADX Strength Measurement The Average Directional Index measures trend strength: DI+ (Directional Indicator Plus): Measures upward directional movement DI- (Directional Indicator Minus): Measures downward directional movement ADX: Smoothed average of the difference between DI+ and DI-, normalized Threshold: ADX above threshold (default 25) indicates strong trend Rising ADX: Indicates strengthening trend momentum ADX filters out weak trends and choppy conditions, ensuring signals occur only during strong directional movement. 4. Moving Average Matrix Five moving averages create a trend alignment system: Fast EMA (9): Short-term trend direction Medium EMA (21): Intermediate trend direction Slow EMA (50): Primary trend direction Fast SMA (50): Smoothed primary trend Slow SMA (200): Long-term institutional trend Alignment is measured by comparing the order of these averages: Bullish Alignment: EMA9 > EMA21 > EMA50 > SMA50 (all in ascending order) Bearish Alignment: EMA9 < EMA21 < EMA50 < SMA50 (all in descending order) Mixed Alignment: Averages not in order (choppy or transitional conditions) Perfect alignment indicates strong institutional conviction in the trend direction. 5. Composite Trend Classification [/b> The indicator combines all components into a five-state trend classification: Strong Bull (State 2): Hull rising + SuperTrend bullish + MA alignment bullish + ADX strong Weak Bull (State 1): Hull rising + (SuperTrend bullish OR MA alignment bullish) Sideways (State 0): Mixed signals or weak trend conditions Weak Bear (State -1): Hull falling + (SuperTrend bearish OR MA alignment bearish) Strong Bear (State -2): Hull falling + SuperTrend bearish + MA alignment bearish + ADX strong This classification provides clear trend assessment at a glance. 6. Counter-Trend Detection [/b> The indicator identifies potential reversals when price moves against established trend: Counter-Trend Bull: Trend state neutral/bearish + close > open + price rising + DI+ > DI- + close > Hull + ADX > 20 Counter-Trend Bear: Trend state neutral/bullish + close < open + price falling + DI- > DI+ + close < Hull + ADX > 20 Counter-trend signals include anti-overlap logic to prevent signal clustering and ensure clean placement. 7. Prismatic Gradient Visualization The indicator creates a gradient fill between Hull MA and SuperTrend: Gradient Layers: Multiple intermediate values calculated between Hull and SuperTrend (default 15 layers) Color Intensity: Transparency increases from Hull (solid) to SuperTrend (transparent) Dynamic Coloring: Gradient color matches trend state (green = bullish, red = bearish, cyan = sideways) Visual Effect: Creates a glowing prismatic effect that emphasizes trend strength The gradient provides intuitive visual feedback on trend intensity and direction. 8. Platform Levels Platform levels are horizontal lines at the current Hull MA value: Extension: Lines extend forward and backward from current bar (default 7 bars each direction) Color Coding: Platform color matches current trend state Purpose: Provides visual reference for potential support/resistance at Hull MA level Platforms help identify key levels where price may find support or resistance. Visual Elements Hull Trend Line: Thick line (3px) with regime-based coloring showing primary trend SuperTrend Line: Medium line (2px) with step-line style showing dynamic support/resistance EMA Matrix: Three thin lines showing fast, medium, and slow EMAs with transparency Prismatic Gradient: Multi-layer fill between Hull and SuperTrend creating glow effect Platform Levels: Horizontal lines at Hull MA value extending forward/backward Counter-Trend Signals: Triangles marking potential reversal points Background Coloring: Subtle background tint for strong bull/bear states Information Dashboard: Displays trend state, Hull direction, ADX strength, momentum, alignment, SuperTrend, DI balance, price vs Hull, gradient zone, counter-trend status, and signal How to Use This Indicator Step 1: Check Trend State Monitor the dashboard for current trend state (Strong Bull, Weak Bull, Sideways, Weak Bear, Strong Bear). Trade in the direction of strong states. Step 2: Verify ADX Strength Ensure ADX is above threshold (default 25) for strong trends. Low ADX indicates choppy conditions - avoid trend-following strategies. Step 3: Confirm MA Alignment Check if moving averages are aligned (Bullish/Bearish/Mixed). Perfect alignment confirms institutional conviction. Step 4: Monitor Hull Direction Hull rising = bullish bias, Hull falling = bearish bias. Hull provides the primary trend direction signal. Step 5: Use SuperTrend for Support/Resistance SuperTrend line acts as dynamic support in uptrends and resistance in downtrends. Breaks of SuperTrend warn of trend changes. Step 6: Watch for Counter-Trend Signals Counter-trend signals at extreme levels may indicate reversals. Use these cautiously and confirm with other factors. Step 7: Assess Gradient Zone Price in upper gradient zone (near Hull) = strong trend, price in lower zone (near SuperTrend) = weak trend or potential reversal. Best Practices Trade only in Strong Bull or Strong Bear states for highest probability Avoid trading in Sideways state - wait for clear trend establishment Use ADX as a filter - only trade when ADX > 25 for strong trends Confirm trend with MA alignment before entering positions Use SuperTrend as trailing stop level in trending markets Counter-trend signals work best at extreme levels with divergence Monitor gradient zone - price near SuperTrend may indicate trend exhaustion Combine with higher timeframe trend for additional confirmation Input Parameters Hull Trend Engine: Hull Length: Period for Hull MA calculation (default: 20) Hull Smoothing: Additional EMA smoothing (default: 3) SuperTrend Layer: ATR Period: Period for ATR calculation (default: 10) ATR Factor: Multiplier for band width (default: 3.0) Mode: Strict, Quick, or Quicker (default: Quick) Trend Strength: ADX Length: Period for ADX calculation (default: 14) ADX Smoothing: Smoothing period for ADX (default: 14) Strength Threshold: Minimum ADX for strong trend (default: 25) MA Matrix: Fast EMA: Short-term EMA (default: 9) Medium EMA: Intermediate EMA (default: 21) Slow EMA: Primary EMA (default: 50) Fast SMA: Smoothed primary (default: 50) Slow SMA: Long-term institutional (default: 200) Visual Configuration: Bullish/Bearish Trend Colors: Customizable colors for trend states Sideways/Weak Trend Colors: Colors for neutral and weak states Gradient Layers: Number of gradient fills (default: 15) Show Platforms: Toggle platform level display (default: enabled) Platform Extension: Bars to extend platforms (default: 7) Originality Statement This indicator is original in its multi-dimensional trend approach. While individual components (Hull MA, SuperTrend, ADX, EMAs) are established concepts, this indicator is justified because: It combines four distinct trend methodologies into a unified classification system The five-state trend classification provides clear trend assessment Prismatic gradient visualization creates intuitive trend intensity display Counter-trend detection with anti-overlap logic identifies potential reversals MA alignment analysis measures institutional conviction Integration of Hull MA smoothness with SuperTrend adaptability creates balanced trend detection The comprehensive dashboard presents all trend dimensions simultaneously Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Trend analysis does not guarantee profitable trades. Past trends do not guarantee future trends. Always use proper risk management and never risk more than you can afford to lose. -Made with passion by officialjackofalltrades
Pine Script® indicator
by officialjackofalltrades
Support Band of TrendSupport Band of Trend by MasterTony **Support Band with Dynamic Ichimoku Boundaries** This indicator combines three layered tools into a single clean overlay: a trend-adaptive support/resistance band using golden moving averages, dynamic Ichimoku Tenkan/Kijun boundaries, and price pivot S/R levels. Together they define a structured zone where price is expected to find support in bull trends and resistance in bear trends. --- **How It's Calculated** **Trend Direction (ADX + 200 SMA)** The indicator continuously reads market direction using two inputs. The DMI system compares DI+ against DI− to determine which side has directional dominance. The 200-period SMA acts as a tiebreaker when DI+ and DI− are equal. There is no neutral state — the indicator always commits to bull or bear based on whichever side is dominant at that moment. **Inner Support Band (SMA 20 / EMA 21)** The core of the indicator is a filled zone between the 20-period Simple Moving Average and the 21-period Exponential Moving Average. Because the SMA and EMA are nearly identical in length but calculated differently, the fill between them defines a tight dynamic zone that price frequently interacts with. In a bull trend the band is green, acting as a floor. In a bear trend it turns red, acting as a ceiling. **Outer Boundary (Tenkan-Sen / Kijun-Sen Band)** Wrapping the inner band is a filled zone between the Tenkan-Sen and Kijun-Sen, ported from a full adaptive Ichimoku engine. Both lines use dynamic lengths driven by a volume oscillator (OBV), ATR volatility, and a Chikou trend filter. When conditions are bullish the lengths compress toward their minimums (9 and 20), making the lines react faster. When conditions are bearish the lengths expand toward their maximums (30 and 60), making them slower and more resistant. The Tenkan and Kijun lines themselves are colored teal when Tenkan is above Kijun and purple when below. The filled zone between them matches the overall bull/bear color of the indicator. **Price Pivot S/R Lines** The indicator identifies the last three swing highs and swing lows using a 5-bar left/5-bar right pivot calculation. Each level is drawn as a horizontal dashed line extended to the right — red for resistance, green for support. These are static reference points showing where price has previously reversed. **200 SMA** Plotted as a light blue reference line. Used internally for trend bias and visually as the macro trend anchor. --- **How to Read It** The indicator is designed to be read as a layered zone, not a single line. When the bands are **green**, the entire filled area from the outer TK boundary down to the inner SMA/EMA band is a **support zone**. Price pulling back into this zone during an uptrend is expected behavior. The tighter the band compression, the stronger the trend. When the bands are **red**, the same zone becomes **resistance**. Price rallying back up into it during a downtrend is a selling opportunity. A failure to break above the zone confirms bearish continuation. The **Tenkan/Kijun color** gives you a secondary read. Teal means the fast line is above the slow line — momentum is bullish within the Ichimoku framework. Purple means the fast line has crossed below — momentum has shifted bearish. When the band color and the TK color agree, the signal is stronger. The **pivot S/R lines** give you price memory. A green pivot level sitting just below the band in a bull trend creates a confluence support cluster. A red pivot level just above the band in a bear trend creates a confluence resistance cluster. --- **How to Trade With It** **Bull Trend Pullback Entry** Wait for the band to be green. Let price pull back into the inner SMA/EMA band or the wider TK zone. Look for a candle reversal or momentum shift back upward while inside the zone. Enter long with a stop below the outer TK boundary. The nearest green pivot S/R line below acts as your invalidation level. **Bear Trend Rally Entry** Wait for the band to be red. Let price rally back up into the inner band or TK zone. Look for rejection or a momentum shift downward while inside the zone. Enter short with a stop above the outer TK boundary. The nearest red pivot S/R line above acts as your invalidation level. **Trend Change Warning** When the band flips from green to red or red to green, it signals a shift in directional dominance. This is not an immediate entry signal — it is a warning to stop trading in the previous direction and wait for the new color to confirm with a pullback setup. **Confluence Filter** The highest probability setups occur when all three layers agree: the band color matches the trade direction, the Tenkan is above Kijun (for longs) or below (for shorts), and a pivot S/R level is nearby providing additional structure. ---
Pine Script® indicator
by MasterTonyTA
Momentum Decay Field [BullByte]Momentum Decay Field : Physics-Based Momentum Energy Visualization WHAT IS THE MOMENTUM DECAY FIELD? The Momentum Decay Field (MDF) models price momentum as a decaying physical energy field using an exponential half-life model. MDF visualizes impulse energy on the price chart, detects exhaustion and energy divergence, and stores past exhaustion zones as reference levels. This is an informational visualization tool - not a buy/sell signal generator. In nuclear science, every radioactive element emits energy that decays exponentially over time following a precise mathematical law. MDF applies this exact principle to price momentum. Every strong price impulse carries kinetic energy. That energy does not last forever. It fades, weakens, and eventually depletes - just like a radioactive isotope losing its charge. MDF measures this process in real time and wraps price in a living energy field that expands, contracts, changes color, and ultimately signals exhaustion when the energy runs out. This is not a moving average. Not an oscillator. Not a mashup of existing tools . It is a standalone physics engine that models momentum as a decaying energy system directly on the price chart. THE CORE PHYSICS The engine is built on the exponential decay formula from nuclear physics: E(t) = E0 x exp(-lambda x t) Where: E(t) is the remaining energy at time t (measured in bars after the impulse) E0 is the initial energy assigned to the impulse at the moment it occurs lambda is the decay constant, derived from the half-life: lambda = ln(2) / Half-Life t is the number of bars elapsed since the impulse The half-life is the number of bars it takes for energy to decay to exactly 50% of its initial value. After two half-lives, 25% remains. After three, 12.5%. This creates the smooth, predictable decay curve visible in the dashboard sparkline. When the adaptive half-life option is enabled, stronger impulses automatically receive a longer half-life. This means powerful moves with high volume and velocity sustain their energy field longer before exhausting, while weak impulses fade quickly. This mirrors real market behavior where institutional-grade moves carry momentum further than retail noise. HOW IMPULSES ARE DETECTED Not every candle qualifies as an impulse. The detection engine requires three conditions to be met simultaneously: First , the candle body size (distance between open and close) must exceed a user-defined multiple of the Average True Range. This ensures only candles with genuine directional magnitude qualify. Second , the total candle range (high to low) must also exceed an ATR-based threshold. This confirms the move had real price displacement, not just a wide body on a small-range bar. Third , the body-to-range ratio must exceed 0.45. This filters out doji candles, pin bars, and high-wick candles that suggest indecision rather than conviction. Only candles where the body represents a significant portion of the total range pass through. When an impulse qualifies, its initial energy (E0) is calculated by combining three factors: the normalized body magnitude (body size divided by ATR), a velocity boost (how fast price moved over the velocity window compared to average), and an optional volume boost (current bar volume relative to the rolling volume average). The result is capped at 5.0 to prevent extreme outliers from dominating the field. THE ENERGY FIELD : WHAT YOU SEE ON THE CHART The energy field is the colored aura that appears around price. It communicates the current momentum state through three visual properties: Width: The field expands when energy is high and contracts as energy decays. At full energy, the field reaches its maximum width (controlled by the Max Field Width setting). As energy approaches zero, the field collapses to nothing. The width is always proportional to ATR so it adapts automatically to any instrument and timeframe. Color: The field color morphs through three stages as energy decays. At high energy levels (above 55%), the field displays the bright directional color - the bullish theme color for upward impulses, the bearish theme color for downward impulses. As energy drops into the mid range (20-55%), the color transitions through warm amber, a universal warning tone indicating momentum is fading. Below 20%, the field shifts to cool gray, signaling that momentum is nearly spent. This color morphing happens smoothly and continuously on every bar. Layering: The field is rendered in up to three concentric tiers - inner, mid, and outer - each progressively more transparent. The inner layer sits closest to price and is most opaque. The mid layer extends further with reduced opacity. The outer layer provides the widest aura at the lowest visibility. This creates a natural gradient that makes the field feel organic rather than blocky. THREE VISUAL MODES Clean mode renders no energy field at all. Only the signal markers (diamond, EXH, WEAK) and the dashboard appear on the chart. This mode is designed for traders who want a completely uncluttered chart and only care about the event markers and data panel. The momentum engine still runs in the background, powering the dashboard metrics and signals. Standard mode activates the inner and mid field layers along with the energy spine - a central reference line running through the price that pulses with momentum. This is the default mode and provides a balanced view of the energy state without overwhelming the chart. Full mode enables all three field tiers and adds candle tinting, where the candle bodies themselves are colored according to the current energy state and direction. High-energy bars glow with the directional color while depleted bars take on neutral tones. This mode provides maximum visual information for traders who want to see the full energy picture at a glance. SIGNAL MARKERS : WHAT EACH ONE MEANS Diamond (below bar for bullish, above bar for bearish): This marks the bar where a qualified impulse was detected and energy was injected into the system. It tells you that the decay physics engine has been activated or refreshed with new energy. Not every strong candle produces a diamond - the cooldown system prevents clustering by enforcing a minimum number of bars between consecutive impulse markers. EXH (cross shape, amber color): This marks the bar where the energy ratio dropped below the exhaustion threshold. It means the momentum that was driving price has fully depleted according to the decay model. These exhaustion points often coincide with areas where price pauses, reverses, or enters consolidation. The anti-repeat filter ensures that the same directional exhaustion does not fire consecutively without a change in context - either a new direction must establish or sufficient time must pass. WEAK (triangle shape, orange color): This marks an energy divergence. It appears when price makes a new high (for bullish) or new low (for bearish) but the impulse energy behind that move is at least 25% weaker than the previous impulse in the same direction. The price is extending but the fuel behind it is diminishing. This is a momentum divergence detected purely through the energy physics model, not through any traditional oscillator comparison. When WEAK fires on the same bar as an impulse, the diamond marker is automatically suppressed because the WEAK label already communicates that an impulse occurred - it simply carried less energy than its predecessor. EXHAUSTION MEMORY ZONES When an exhaustion event occurs, the indicator stores the price range of that bar as a memory zone. These zones are rendered as semi-transparent colored rectangles that extend from the exhaustion bar to the right edge of the chart. Bullish exhaustion zones use the bullish theme color and bearish exhaustion zones use the bearish theme color. These zones represent price levels where momentum previously failed to sustain. They often act as areas of interest for future price action because they mark locations where aggressive directional energy was fully consumed. Fresh zones appear more opaque and gradually fade as they age, eventually becoming fully transparent after the user-configured fade period. The Max Zones Displayed setting controls how many zones appear simultaneously. Only the most recent zones are shown. The Zone Fade Period controls how many bars a zone remains visible before disappearing. A three-stage memory management system runs continuously to prevent the zone array from growing unbounded on long-history charts: old zones beyond twice the fade period are pruned, the array is capped at a safe maximum, and the rendering loop enforces a drawing budget to stay within platform limits. THE DASHBOARD : EVERY ELEMENT EXPLAINED The dashboard uses a fully opaque dark background that renders identically on both light and dark chart themes. Every cell has its own explicit background color so nothing is inherited from the chart environment. ENERGY: A 16-character progress bar showing remaining energy as a visual fill gauge, followed by the numerical percentage. The bar transitions from bright green (charged) through cyan (active) to amber (decaying) to orange (fading) to red (depleted). PHASE: Displays the current energy state classification. CHARGED means energy is above 70% - momentum is strong and active. ACTIVE means 45-70% - momentum is present and sustaining. DECAYING means 20-45% - momentum is fading but not yet spent. FADING means energy is above the exhaustion threshold but below 20% - momentum is weak. DEPLETED means energy has fallen below the exhaustion threshold - the current cycle has exhausted. The directional bias (BULL, BEAR, or FLAT) appears alongside the phase to show which direction the current energy cycle belongs to. E0 INITIAL: Shows the initial energy magnitude that was assigned to the current impulse cycle when it began. The classification label (Extreme, Strong, Moderate, Light) provides quick context about how powerful the originating impulse was. HALF-LIFE: Displays the current half-life in bars - how long it takes for energy to decay to 50%. When adaptive half-life is enabled, this value changes with each impulse based on its strength. The ELP (elapsed) counter shows how many bars have passed since the last impulse event. ETA TO EXH: The predicted number of bars remaining until energy reaches the exhaustion threshold. This is calculated by solving the decay equation for time. The visual countdown bar (filled and empty blocks) provides a quick gauge of how close exhaustion is. When the current cycle has already exhausted, this displays EXHAUSTED in red. DECAY CURVE: A 20-character sparkline that projects how energy will diminish over approximately three half-lives into the future. Each character represents a future time step. The curve reads from left (current moment, marked by NOW) toward the right (future). Tall blocks indicate high energy, dots indicate near-zero energy. This gives traders a visual preview of the entire remaining decay trajectory at a glance. IMPULSES / EXHAUSTIONS / DIVERGENCES: Lifetime counters showing how many of each event type have occurred since the indicator was loaded on the chart. These provide context about the current session's activity level. CHART EXAMPLE Chart 1: ENERGY FIELD DYNAMICS & IMPULSE DETECTION What This Chart Represents This chart demonstrates the Momentum Decay Field's core visual engine showing how the energy field expands, contracts, and morphs in real-time as momentum cycles through impulse, sustain, and decay phases. Key Visual Elements Highlighted: 1. ENERGY FIELD COLOR MORPHING The aura transitions through three distinct color phases as energy decays: - Bright directional color (green for bullish, magenta for bearish) = High energy (>55% remaining) - Warm amber/orange = Mid-energy decay phase (20-55% remaining) - Cool gray = Low energy, momentum nearly spent (<20% remaining) 2. FIELD WIDTH DYNAMICS The energy band's width is directly proportional to remaining energy: Wide, expansive field = Strong active momentum with high kinetic energy Contracting field = Energy decaying, momentum losing strength Thin/collapsed field = Minimal momentum, approaching exhaustion Width scales with ATR to adapt across all instruments and timeframes 3. IMPULSE SIGNAL MARKERS (Diamonds) Pink/Green diamond markers identify the exact bars where qualified momentum impulses occurred: Below price = Bullish impulse (upward energy injection) Above price = Bearish impulse (downward energy injection) Each diamond represents a new E0 (initial energy) assignment Cooldown system prevents marker clustering during volatile periods 4. MULTI-CYCLE MOMENTUM VISUALIZATION The chart captures several complete momentum lifecycles: Fresh impulses creating wide, bright energy fields Progressive decay causing field contraction and color shift Direction changes showing energy field polarity reversals Energy stacking when same-direction impulses occur during active cycles 5.ENERGY DIVERGENCE SIGNAL (WEAK Marker) Orange triangle with "WEAK" label Triangle Up Position (Below Price): Signal Type: Bearish energy divergence Location: Bottom of the move after the bullish run What It Detected: Price made a new low BUT the impulse energy behind that low was 25%+ weaker than the previous bearish impulse CHART 2: EXHAUSTION SIGNALS, MEMORY ZONES & DASHBOARD DEEP DIVE What This Chart Represents This chart demonstrates the complete signal ecosystem of the Momentum Decay Field indicator, showcasing exhaustion detection, energy divergence, memory zones, and a full dashboard metrics breakdown. The chart captures a Solana (SOL/USDT) 15-minute timeframe showing the transition from strong bearish momentum through exhaustion to reversal with weakening energy. 1. ENERGY FIELD EVOLUTION LEFT SIDE (Early Period - 1:00 to 10:00): Bright magenta field = Strong bearish energy active Wide field width = High momentum magnitude Color morphing visible = Transition from bright magenta → brown/amber as energy decays Field shows downtrend = Bearish impulse energy driving price lower 2. EXHAUSTION SIGNAL (EXH Marker) Meaning: Momentum energy fully depleted - energy ratio dropped below 8% threshold Location: Above the price bars (bearish exhaustion that preceded the bullish reversal) Trigger Conditions Met: Energy ratio < 0.08 (exhaustion threshold) Minimum E0 > 0.5 (filters noise) Minimum 3 bars elapsed since impulse Cooldown period satisfied (8 bars between signals) Anti-repeat filter passed (different direction or sufficient time gap) What Happened Here: The strong bearish momentum (magenta field on left) progressively decayed until energy was fully consumed. The EXH marker fired at the exact bar where the decay equation calculated remaining energy had fallen below the 8% threshold. 3. EXHAUSTION MEMORY ZONE (Green Rectangle) Large semi-transparent green box Zone Type: Bullish exhaustion memory zone Price Range: Captures the high-low range of the bar where bullish momentum exhausted Color: Green with ~92% opacity at creation, fading over time Border: Green border at ~78% opacity Extension: Extends from exhaustion bar to right edge of chart (+10 bars beyond current) Why It Matters: Price levels where momentum exhausted represent areas where directional energy was fully consumed. Market often "remembers" these levels as they frequently become magnets for future price action, areas of consolidation, or reversal zones. 4.ENERGY SPINE (Coloured Line Through Price Center) Visible as dark line running through candle midpoints: Technical Details: Plots at hlc3 (average of high, low, close) Color matches field color, opacity varies with energy level Only visible when energy > 12% Provides visual anchor showing momentum center of gravity Style: Line breaks (plot.style_linebr) to avoid connecting across gaps Purpose: The spine acts as a dynamic momentum equilibrium line. When field is wide, spine shows the center of energy distribution. As field contracts, spine becomes the last visible element before total energy depletion. Helps traders identify the core momentum flow without relying solely on field boundaries. RECOMMENDED SETTINGS AND TIMEFRAMES The default settings are calibrated for intraday trading on timeframes between 1 minute and 15 minutes. The indicator works on all timeframes and all instruments but the default parameters are optimized for the pace of day trading where impulse-to-exhaustion cycles complete within a visible chart window. For scalping on 1-minute charts, consider reducing the Base Half-Life to 5-6 bars and the Impulse Lookback to 8-10. This makes the system more responsive to the rapid impulse cycles on lower timeframes.- For swing trading on 1-hour or 4-hour charts, consider increasing the Base Half-Life to 12-16 bars and the Impulse Threshold to 2.0-2.5. This filters out intrabar noise and focuses on only the most significant impulses that drive multi-hour moves. For daily charts, increase the Half-Life to 15-20 bars and enable Adaptive Half-Life to let strong institutional moves sustain their field across multiple sessions. The Volume Weighting option is recommended to be kept enabled on instruments with reliable volume data (stocks, futures, major crypto pairs). For forex pairs where volume represents tick count rather than actual traded volume, consider disabling it or treating it as a secondary factor. THOUGHT BEHIND THE INDICATOR The concept originated from a simple observation: every momentum move in the market follows a lifecycle that mirrors energy decay in physics. A strong impulse starts with maximum energy, sustains for a period, then gradually loses force until it is fully spent. Traditional momentum indicators attempt to measure this through oscillators that lag behind price. MDF takes a fundamentally different approach by modeling the decay process itself using established physics rather than measuring its symptoms through lagging mathematical transformations. The exponential decay model was chosen specifically because it matches the empirical behavior of momentum in financial markets. Momentum does not decay linearly - it holds relatively steady in the early phase after an impulse, then accelerates its decline as it approaches exhaustion. This is precisely the shape of an exponential decay curve and is why the half-life model produces a more accurate representation than a simple moving average or percentage-based countdown. The energy divergence detection was added after observing that many trend reversals are preceded by a sequence of price extremes with diminishing impulse energy. The price chart shows strength (higher highs or lower lows) while the underlying energy tells a different story (each push requires less fuel). This hidden weakness is invisible on a standard chart but becomes immediately apparent when measured through the energy model. WHAT THIS INDICATOR DOES NOT DO This indicator does not generate buy or sell signals. It does not tell you when to enter or exit a trade. It does not predict future price direction. It measures and visualizes the current state of momentum energy to help you make more informed decisions within your own trading framework. The exhaustion markers identify zones where momentum energy has depleted according to the physics model. Price may reverse at these zones, consolidate, or continue in the same direction after a new impulse injects fresh energy. The markers are informational reference points, not trading signals. The energy divergence detection (WEAK markers) highlights instances where price extremes are driven by weakening energy. This is an observation about momentum quality, not a prediction about price direction. Divergences can persist through multiple cycles before price responds. NON REPAINT BEHAVIOUR Every calculation in this indicator uses only confirmed bar data (open, high, low, close, volume) from completed bars. No future data is referenced. No calculations change retroactively after a bar closes. The impulse detection, energy assignment, decay computation, exhaustion detection, and divergence detection all operate exclusively on confirmed historical data. What you see on a closed bar will never change. DISCLAIMER Trading financial instruments involves substantial risk of loss. Past energy states and exhaustion patterns do not guarantee future price behavior. This tool visualizes momentum dynamics to support analysis - it does not provide financial advice. The author assumes no responsibility for trading decisions or losses. Always employ proper risk management and never risk capital you cannot afford to lose. - BullByte
Pine Script® indicator
by BullByte
8
Apex Wallet - Adaptive Average Directional Index (ADX) & Trend DOverview The Apex Wallet Average Directional Index (ADX) is an enhanced version of the classic Wilder’s DMI/ADX system, designed to filter market noise and pinpoint trend strength with precision. Unlike standard indicators, this script features an adaptive engine that recalibrates its internal logic based on your specific trading style. Adaptive Trading Engine The core strength of this script is its three-mode preset system: Scalping: Fast-response settings (ADX 7) for quick scalp opportunities on low timeframes. Day-Trading: Balanced settings (ADX 14) optimized for intraday sessions. Swing-Trading: High-filter settings (ADX 21) designed to capture major market waves. Visual Intelligence & Labels To ensure clarity, the script features a dynamic labeling system directly on the ADX line: Trend Strength Zones: Clear horizontal markers for "Consolidation," "Trending," and "Extremely Strong" phases. Real-time Status Labels: The ADX line changes color and displays its current state (Bullish, Bearish, or Consolidation) directly on the chart. Optimized UI: No sidebar panels to clutter your view; all essential information is integrated into the oscillator window. How to Use: Select your Trading Mode in the settings. Monitor the ADX color: Green indicates a strong bullish trend, Red indicates a strong bearish trend, and White/Orange signals consolidation. Use the labels to confirm if the market is currently in a high-conviction trend phase or sideways range.
Pine Script® indicator
by Apex-Wallet
Trend Strength IndicatorThis is a Trend Strength Indicator that shows you the immediate trend and historical trend of price for up to 7 higher timeframes. It shows the strength of each timeframe by showing a red or green dot based on where price is at compared to the previous higher timeframe candle. The brighter red or green the dot is, the stronger the trend is compared to that higher timeframe candle. The colors and timeframes can be customized to suit your preference and you can also turn off as many timeframes as you’d like if you want less time frames to show up on the indicator. It also includes alerts for when all timeframes are bullish or all timeframes are bearish. Keep these timeframes set to higher time frames than your chart so you can trade in the direction of the overall higher timeframe trend. Bullish Scoring & Colors If the current candle close is above the midline of the higher time frame candle, it is given a score of 1 and a dark green dot. If the current candle close is above the higher timeframe candle body, then it is given a score of 2 and a medium green dot. If the current candle close is above the high of the higher time frame candle, it is given a score of 3 and a bright green dot. The higher the score the stronger the bullish trend and the brighter green the dot will be. Bearish Scoring & Colors If the current candle close is below the midline of the higher timeframe candle, it is given a score of -1 and a dark red dot. If the current candle close is below the higher timeframe candle body, then it is given a score of -2 and a medium red dot. If the current candle close is below the low of the higher timeframe candle, it is given a score of -3 and a bright red dot. The lower the score, the stronger the bearish trend and the brighter red the dot will be. Trend Scoring Modes We gave you the option to set the trend scoring mode to either score based on price above or below the midline for quick and easy trend identification, or using the midline, candle body and highs and lows to give you a more detailed view of the trend strength. You can switch between these modes by selecting your preferred mode in the settings panel. The default is Open, High, Low, Close + Midline. Sending Trend Direction To External Indicators We coded in the ability to use the trend strength score as a signal that you can use to filter other indicators. This feature is great for notifying signal generating indicators what direction the market is trending in so that the signal generating indicator only gives signals in the direction of the trend. This feature works by providing a data output of 1, 0 or -1. 1 means the trend is bullish, 0 means the trend is neutral and -1 means the trend is bearish. This score is calculated by using the score of each timeframe that is turned on and checking if all timeframes are in the same direction or not. So if 3 timeframes are turned on and they are all bullish, the indicator will provide a data output of 1. This tells your external indicators that the trend is bullish. This data output can be found in the data window and is labeled Trend Direction To Send To External Indicators. At the bottom of the settings panel, there is a setting called Trend Score Threshold For External Indicators. This setting is the score threshold that all timeframes will need to meet to allow a trend strength signal to go through. So if set to 1, then all timeframes must be scored 1 or higher for bullish or -1 or lower for bearish. If set to 2, then all timeframes must be 2 or higher for bullish or -2 or lower for bearish. If set to 3, then all timeframes must be 3 for bullish or -3 for bearish. If all timeframes have met this threshold, then a bullish or bearish signal can be sent to your external indicator as a trend filter. Labels There are labels to the right of each row of dots, telling you which timeframe is which so you can easily identify what timeframe each row is showing the trend for. Alerts You can set alerts for when all timeframes are bullish or when all timeframes are bearish. If you have some time frames turned off at the time of creating your alerts, then it will only require all timeframes that are on to be all bullish or bearish to generate an alert. Make sure to set your alerts to once per bar close to ensure you don’t get premature alerts that aren’t yet valid. Backtesting This indicator helps you quickly identify and backtest the trend direction, how strong that trend is on multiple timeframes and helps you spot reversals and trend continuations. Make sure you look back at a lot of historical data to see how price moves when trend changes take place and how well price continues in each direction compared to the overall trend. This will help you gain confidence in reading the indicator and using it to your advantage when trading. Best Way To Use The Indicator This indicator is designed to help you quickly identify the trend on various different timeframes. The brighter the green dots are, the stronger the bullish trend is. The brighter the red dots are, the stronger the bearish trend is. Trade in the direction of the trend. If the colors are mixed green and red, then price is likely to chop back and forth, so only trade the extremes of the ranges when that happens. When most of the lower timeframe dots are the same color, that means it is a strong trend and you should place trades in the direction of the trend to be safe. The lower timeframes will start trending before the higher timeframes, so take notice of the lower timeframe colors starting to agree with each other and then take advantage of the trend that is forming. You can also spot reversals with this indicator by watching for the lower timeframes to start changing color after a strong trend in one direction. The lower timeframes will start to change color one by one, indicating that the trend is actually changing direction. For best results, make sure you wait for the trend to show all bullish or all bearish at the same time before you place any trades. If you can be patient enough to do that, you will increase the probability of winning your trade because you are trading with the direction of the overall higher timeframe trend which is typically an easy way to win more trades. Of course wait for pullbacks during the trend so you can keep a tight stop loss after entering your trade. If you are scalping, you can turn off the higher timeframes and just use the 1 hour through 1 day. This won’t be as reliable as using all timeframes and waiting for them to align, but it is suitable for scalping quick intraday movements. Other Indicators To Pair This With Use this in combination with our Higher Timeframe Candle Levels indicator so you can see all of these levels being used to calculate the trend strength scores and watch how price reacts to those levels. You should also use our Breakout Scanner to find other markets with strong trends so you always know which market is trending the strongest and can trade those. Trend Strength Indicator, Higher Timeframe Candle Levels and the Breakout Scanner all use the same levels and calculate the trend scores the same way so they are designed to work all together to help you quickly be able to read a chart and find what direction to trade in.
Pine Script® indicator
by FriendOfTheTrend
2
Trend & Strength Detector TSDTrend Strength Detector (TSD) *Objective Trend Quality Measurement for Educational Market Analysis* Note: This mathematical framework is a proprietary quantitative model developed by Ario Pinelab, inspired by classical EMA, ADX, RSI and MACD principles, yet not documented in any public technical or academic publication. ## 🎯 Purpose & Design Philosophy The ** Trend Strength Detector- TSD ** is an educational research tool that provides **quantitative measurement of trend quality** through two independent scoring systems (0-100 scale). It answers the analytical question: *"How strong and aligned is the current market trend environment?"* This indicator is designed with a **modular, complementary approach** to work alongside various analysis methodologies, particularly pattern-based recognition systems. ## 🔗 Complementary Research Framework ### Designed to Work With Pattern Detection Systems This indicator provides **environmental context measurement** that complements qualitative pattern recognition tools. It works particularly well alongside systems like: - **RMBS Smart Detector - Multi-Factor Momentum System** - Traditional chart pattern analyzers - Any momentum-based pattern identification tools 🔍 **To find RMBS Smart Detector:** - Search in TradingView Indicators Library: `" RMBS Smart Detector - Multi-Factor Momentum System"` - Look for: *Multi-Factor Momentum System* - By author: ` ` ### Why This Complementary Approach? **Trend Quality Measurement** (TSD - this tool) provides: - ✅ Structural trend alignment (0-100 score) - ✅ Momentum intensity levels (0-100 score) - ✅ Environment classification (Strong/Moderate/Weak) - 📌 **Answers:** *"HOW STRONG is the underlying trend environment?"* ### Educational Research Value When used together in a research context, these tools enable systematic study of questions like: - How do reversal patterns behave when Strength Score is above 70 vs below 30? - Do continuation patterns in weakening environments (declining scores) show different characteristics? - What is the correlation between high Alignment Scores and pattern "success rates"? - Can environment classification help identify genuine trend initiation vs false starts? ⚠️ **Important Note:** Both tools are **independent and work standalone**. TSD provides value whether used alone or with other analysis methods. The relationship with RMBS (or any pattern tool) is **complementary for research purposes**, not dependent. --- ###Mathematical Foundation ##TSA Formula: scoring method developed by Ario -Trend Model (0 – 100) TAS = EMA Alignment (0–40) + Price Position (0–30) + Trend Consistency (0–30) EMA Alignment checks EMA_fast vs EMA_slow vs EMA_trend structure. Price Position evaluates if Close is above/below all EMAs. Consistency = 3 × max(bullish,bearish bars within 10 candles). -Strength Model (0 – 100) Strength = ADX (0–50) + EMA Slope (0–25) + RSI (0–15) + MACD (0–10) ADX measures trend energy; Slope shows EMA momentum %; RSI assesses zone positioning; MACD confirms directional agreement. Note: This formula represents a proprietary quantitative model by Ario_Pinelab, inspired by classical technical concepts but not published in any external reference.________________________________________ 📊 Environment Classification Based on Total Strength Score: 🟢 Strong Environment: Score ≥ 60 → Well-defined momentum, clear directional bias 🟡 Moderate Environment: 40 ≤ Score < 60 → Mixed signals, transitional conditions 🔴 Weak Environment: Score < 40 → Ranging, choppy, low conviction movement Color Coding: • Green background: Strong (≥60) • Yellow background: Moderate (40-59) • Red background: Weak (<40) ________________________________________ 📈 Visual Components Main Chart Display Score Labels (Top-Right Corner): ┌─────────────────────────────────┐ │ 📊 Alignment: 75 | Strength: 82 │ │ Environment: Strong 🟢 │ └─────────────────────────────────┘ Color-Coded Background: • Environment strength visually indicated via background color • Helps quick identification of market regime • Customizable transparency (default: 90%) Reference Lines: • Dotted line at 60: Strong/Moderate threshold • Dotted line at 40: Moderate/Weak threshold • Mid-line at 50: Neutral reference ________________________________________ 🔧 Customization Settings Input Parameters The best setting is the default mode. 🚫 Important Disclaimers & Limitations What This Indicator IS: ✅ Educational measurement tool for trend quality research ✅ Quantitative assessment of current market environment ✅ Complementary analysis tool for pattern-based systems ✅ Historical data analyzer for systematic study ✅ Multi-factor scoring system based on technical calculations What This Indicator IS NOT: ❌ NOT a trading system or signal generator ❌ NOT financial advice or trade recommendations ❌ NOT predictive of future price movements ❌ NOT a guarantee of pattern success/failure ❌ NOT a substitute for comprehensive risk management ________________________________________ Known Limitations 1. Lagging Nature: ⚠️ All components (EMA, ADX, RSI, MACD) are calculated from historical price data → Scores reflect CURRENT and RECENT conditions → Cannot predict sudden reversals or black swan events → Trend measurements lag actual price turning points 2. Whipsaw Risk: ⚠️ In choppy/ranging markets, scores may fluctuate rapidly → Moderate zone (40-60) can see frequent transitions → Low timeframes more susceptible to noise → Consider higher timeframes for stable measurements 3. Component Conflicts: ⚠️ Individual components may disagree → Example: Strong ADX but weak RSI alignment → Scores average these conflicts (may hide nuance) → Check individual components for deeper insight 4. Not Predictive: ⚠️ High scores do NOT guarantee continuation ⚠️ Low scores do NOT guarantee reversal → Measurement ≠ Prediction → Use for CONTEXT, not SIGNALS → Combine with comprehensive analysis ________________________________________ Risk Acknowledgments Market Risk: • All trading involves substantial risk of loss • Past performance (even systematic studies) does not guarantee future results • No indicator, system, or methodology can eliminate market risk Measurement Limitations: • Scores are mathematical calculations, not market predictions • Environmental classification is descriptive, not prescriptive • Strong measurements can deteriorate rapidly without warning Educational Purpose: • This tool is designed for LEARNING about market structure • Not designed, tested, or validated as a standalone trading system • Any trading decisions are user’s sole responsibility No Warranty: • Indicator provided “as-is” for educational purposes • No guarantee of accuracy, reliability, or profitability • Users must verify calculations and apply critical thinking Open Source Full Pine Script code available for educational study and modification. Feedback and improvement suggestions welcome. “All logic is presented for research and educational visualization.” ---
Pine Script® indicator
by sourena_58
3
Multi Pivot Trend [BigBeluga]🔵 OVERVIEW The Multi Pivot Trend is an advanced market-structure-driven trend engine that evaluates trend strength by scanning multiple pivot breakouts simultaneously. Instead of relying on a single swing length, it tracks breakouts across ten increasing pivot lengths — then averages their behavior to produce a smooth, reliable trend reading. Mitigation logic (close, wick, or HL2 touches) controls how breakouts are confirmed, giving traders institutional-style flexibility similar to BOS/CHoCH validation rules. This indicator not only colors candles based on trend strength, but also extends trend strength and volatility-scaled projection candles to show where trend pressure may expand next. Pivot breakout lines and labels mark key changes, making the trend transitions extremely clear. 🔵 CONCEPTS Market trend strength is reflected by multiple pivot breakouts, not just one. The indicator analyzes ten pivot structures from smaller to larger swings. Each bullish or bearish pivot breakout contributes to trend score. Mitigation options (close / wick / HL2) imitate smart-money breakout confirmation logic. Trend score is averaged and translated into colors and extension bars. Neutral regime ≈ weak trend or transition zone (trend compression). 🔵 FEATURES Multi-Pivot Engine — tracks 10 pivot-based trend signals simultaneously. Mitigation Modes : • Close — breakout requires candle close beyond pivot • Wicks — breakout requires wick violation • HL2 — breakout confirmed when average (H+L)/2 crosses level Dynamic Color System : • Blue → confirmed bullish rotation • Red → confirmed bearish rotation • Orange → neutral / transition state Breakout Visualization — draws pivot breakout lines in real-time. Trend Labels — prints trend %. Trend Volatility-Scaled Extension Candles — ATR/trend strength based candle projections show momentum continuation strength. Gradient Pivot Encoding — higher pivot lengths = deeper structure considered. 🔵 HOW TO USE Use strong blue/red periods to follow dominant structural trend. Watch for color transition into orange — possible trend change or consolidation. Pivot breakout lines help validate structure shifts without clutter. Wick mitigation catches aggressive liquidity-sweep based breaks. Close/HL2 mitigation catches cleaner market structure rotations. Extension bars visualize trend pressure — large extensions = strong push. Best paired with volume or volatility confirmation tools. 🔵 CONCLUSION The Multi Pivot Trend is a structural trend recognition system that blends multiple pivot breakouts into one clean trend score — with institutional-style mitigation logic and volatility-projected trend extensions. It gives traders a powerful, visually intuitive way to track momentum, spot trend rotations early, and understand true structural flow beyond simple MA-based approaches. Use it to stay aligned with the dominant swing direction while avoiding noise and false flips.
Pine Script® indicator
by BigBeluga
21
Trend Strength Index [Alpha Extract]The Trend Strength Index leverages Volume Weighted Moving Average (VWMA) and Average True Range (ATR) to quantify trend intensity in cryptocurrency markets, particularly Bitcoin. The combination of VWMA and ATR is particularly powerful because VWMA provides a more accurate representation of the market's true average price by weighting periods of higher trading volume more heavily—capturing genuine momentum driven by increased participation rather than treating all price action equally, which is crucial in volatile assets like Bitcoin where volume spikes often signal institutional interest or market shifts. Meanwhile, ATR normalizes this measurement for volatility, ensuring that trend strength readings remain comparable across different market conditions; without ATR's adjustment, raw price deviations from the mean could appear artificially inflated during high-volatility periods (like during news events or liquidations) or understated in low-volatility sideways markets, leading to misleading signals. Together, they create a volatility-adjusted, volume-sensitive metric that reliably distinguishes between meaningful trend developments and noise. This indicator measures the normalized distance between price and its volume-weighted mean, providing a clear visualization of trend strength while accounting for market volatility. It helps traders identify periods of strong directional movement versus consolidation, with color-coded gradients for intuitive interpretation. 🔶 CALCULATION The indicator processes price data through these analytical stages: Volume Weighted Moving Average: Computes a smoothed average weighted by trading volume Volatility Normalization: Uses ATR to account for market volatility Distance Measurement: Calculates absolute deviation between current price and VWMA Strength Normalization: Divides price deviation by ATR for a volatility-adjusted metric Formula: VWMA = Volume-Weighted Moving Average of Close over specified length ATR = Average True Range over specified length Price Distance = |Close - VWMA| Trend Strength = Price Distance / ATR 🔶 DETAILS Visual Features: VWMA Line: Blue line overlay on the price chart representing the volume-weighted mean Trend Strength Area: Histogram-style area plot with dynamic color gradient (red for weak trends, transitioning through orange and yellow to green for strong trends) Threshold Line: Horizontal red line at the customizable Trend Enter level Background Highlight: Subtle green background when trend strength exceeds the enter threshold for strong trend visualization Alert System: Triggers notifications for strong trend detection Interpretation: 0-Weak (Red): Minimal trend strength, potential consolidation or ranging market Mid-Range (Orange/Yellow): Building momentum, watch for breakout potential At/Above Enter Threshold (Green): Strong trend conditions, potential for continued directional moves Threshold Crossing: Trend strength crossing above the enter level signals increasing conviction in the current direction Color Transitions: Gradual shifts from warm (red/orange) to cool (green) tones indicate strengthening trends 🔶 EXAMPLES Strong Trend Entry: When trend strength crosses above the enter threshold (e.g., 1.2), it identifies the onset of a powerful move where price deviates significantly from the mean. Example: During a rally, trend strength rising from yellow (around 1.0) to green (1.2+) often precedes sustained upward momentum, providing entry opportunities for trend followers. Consolidation Detection: Low trend strength values in red shades (below 0.5) highlight periods of low volatility and mean reversion potential. Example: After a sharp sell-off, persistent red values signal a likely sideways phase, allowing traders to avoid whipsaws and wait for orange/yellow transitions as a precursor to recovery. Volatility-Adjusted Pullbacks: In volatile markets, the ATR component ensures trend strength remains accurate; a dip back to yellow from green during minor corrections can indicate healthy pullbacks within a strong trend. Example: Trend strength briefly falling to yellow levels (e.g., 0.8-1.1) after hitting green provides profit-taking signals without invalidating the overall bullish bias if the VWMA holds as support. Threshold Alert Integration: The alert condition combines strength value with the enter threshold for timely notifications. Example: Receiving a "Strong Trend Detected" alert when the area plot turns green helps confirm Bitcoin's breakout from consolidation, aligning with increased volume for higher-probability trades. 🔶 SETTINGS Customization Options: Lengths: VWMA length (default 14), ATR length (default 14) Thresholds: Trend enter (default 1.2, step 0.1), trend exit (default 1.15, for potential future signal enhancements) Visuals: Automatic color scaling with red at 0, transitioning to green at/above enter threshold Alert Conditions: Strong trend detection (when strength > enter) The Trend Strength Index equips traders with a robust, easy-to-interpret tool for gauging trend intensity in volatile markets like Bitcoin. By normalizing price deviations against volatility, it delivers reliable signals for identifying high-momentum opportunities while the gradient coloring and alerts facilitate quick assessments in both trending and choppy conditions.
Pine Script® indicator
by AlphaExtract
9
Trend Gauge [BullByte]Trend Gauge Summary A multi-factor trend detection indicator that aggregates EMA alignment, VWMA momentum scaling, volume spikes, ATR breakout strength, higher-timeframe confirmation, ADX-based regime filtering, and RSI pivot-divergence penalty into one normalized trend score. It also provides a confidence meter, a Δ Score momentum histogram, divergence highlights, and a compact, scalable dashboard for at-a-glance status. ________________________________________ ## 1. Purpose of the Indicator Why this was built Traders often monitor several indicators in parallel - EMAs, volume signals, volatility breakouts, higher-timeframe trends, ADX readings, divergence alerts, etc., which can be cumbersome and sometimes contradictory. The “Trend Gauge” indicator was created to consolidate these complementary checks into a single, normalized score that reflects the prevailing market bias (bullish, bearish, or neutral) and its strength. By combining multiple inputs with an adaptive regime filter, scaling contributions by magnitude, and penalizing weakening signals (divergence), this tool aims to reduce noise, highlight genuine trend opportunities, and warn when momentum fades. Key Design Goals Signal Aggregation Merged trend-following signals (EMA crossover, ATR breakout, higher-timeframe confirmation) and momentum signals (VWMA thrust, volume spikes) into a unified score that reflects directional bias more holistically. Market Regime Awareness Implemented an ADX-style filter to distinguish between trending and ranging markets, reducing the influence of trend signals during sideways phases to avoid false breakouts. Magnitude-Based Scaling Replaced binary contributions with scaled inputs: VWMA thrust and ATR breakout are weighted relative to recent averages, allowing for more nuanced score adjustments based on signal strength. Momentum Divergence Penalty Integrated pivot-based RSI divergence detection to slightly reduce the overall score when early signs of momentum weakening are detected, improving risk-awareness in entries. Confidence Transparency Added a live confidence metric that shows what percentage of enabled sub-indicators currently agree with the overall bias, making the scoring system more interpretable. Momentum Acceleration Visualization Plotted the change in score (Δ Score) as a histogram bar-to-bar, highlighting whether momentum is increasing, flattening, or reversing, aiding in more timely decision-making. Compact Informational Dashboard Presented a clean, scalable dashboard that displays each component’s status, the final score, confidence %, detected regime (Trending/Ranging), and a labeled strength gauge for quick visual assessment. ________________________________________ ## 2. Why a Trader Should Use It Main benefits and use cases 1. Unified View: Rather than juggling multiple windows or panels, this indicator delivers a single score synthesizing diverse signals. 2. Regime Filtering: In ranging markets, trend signals often generate false entries. The ADX-based regime filter automatically down-weights trend-following components, helping you avoid chasing false breakouts. 3. Nuanced Momentum & Volatility: VWMA and ATR breakout contributions are normalized by recent averages, so strong moves register strongly while smaller fluctuations are de-emphasized. 4. Early Warning of Weakening: Pivot-based RSI divergence is detected and used to slightly reduce the score when price/momentum diverges, giving a cautionary signal before a full reversal. 5. Confidence Meter: See at a glance how many sub-indicators align with the aggregated bias (e.g., “80% confidence” means 4 out of 5 components agree ). This transparency avoids black-box decisions. 6. Trend Acceleration/Deceleration View: The Δ Score histogram visualizes whether the aggregated score is rising (accelerating trend) or falling (momentum fading), supplementing the main oscillator. 7. Compact Dashboard: A corner table lists each check’s status (“Bull”, “Bear”, “Flat” or “Disabled”), plus overall Score, Confidence %, Regime, Trend Strength label, and a gauge bar. Users can scale text size (Normal, Small, Tiny) without removing elements, so the full picture remains visible even in compact layouts. 8. Customizable & Transparent: All components can be enabled/disabled and parameterized (lengths, thresholds, weights). The full Pine code is open and well-commented, letting users inspect or adapt the logic. 9. Alert-ready: Built-in alert conditions fire when the score crosses weak thresholds to bullish/bearish or returns to neutral, enabling timely notifications. ________________________________________ ## 3. Component Rationale (“Why These Specific Indicators?”) Each sub-component was chosen because it adds complementary information about trend or momentum: 1. EMA Cross o Basic trend measure: compares a faster EMA vs. a slower EMA. Quickly reflects trend shifts but by itself can whipsaw in sideways markets. 2. VWMA Momentum o Volume-weighted moving average change indicates momentum with volume context. By normalizing (dividing by a recent average absolute change), we capture the strength of momentum relative to recent history. This scaling prevents tiny moves from dominating and highlights genuinely strong momentum. 3. Volume Spikes o Sudden jumps in volume combined with price movement often accompany stronger moves or reversals. A binary detection (+1 for bullish spike, -1 for bearish spike) flags high-conviction bars. 4. ATR Breakout o Detects price breaking beyond recent highs/lows by a multiple of ATR. Measures breakout strength by how far beyond the threshold price moves relative to ATR, capped to avoid extreme outliers. This gives a volatility-contextual trend signal. 5. Higher-Timeframe EMA Alignment o Confirms whether the shorter-term trend aligns with a higher timeframe trend. Uses request.security with lookahead_off to avoid future data. When multiple timeframes agree, confidence in direction increases. 6. ADX Regime Filter (Manual Calculation) o Computes directional movement (+DM/–DM), smoothes via RMA, computes DI+ and DI–, then a DX and ADX-like value. If ADX ≥ threshold, market is “Trending” and trend components carry full weight; if ADX < threshold, “Ranging” mode applies a configurable weight multiplier (e.g., 0.5) to trend-based contributions, reducing false signals in sideways conditions. Volume spikes remain binary (optional behavior; can be adjusted if desired). 7. RSI Pivot-Divergence Penalty o Uses ta.pivothigh / ta.pivotlow with a lookback to detect pivot highs/lows on price and corresponding RSI values. When price makes a higher high but RSI makes a lower high (bearish divergence), or price makes a lower low but RSI makes a higher low (bullish divergence), a divergence signal is set. Rather than flipping the trend outright, the indicator subtracts (or adds) a small penalty (configurable) from the aggregated score if it would weaken the current bias. This subtle adjustment warns of weakening momentum without overreacting to noise. 8. Confidence Meter o Counts how many enabled components currently agree in direction with the aggregated score (i.e., component sign × score sign > 0). Displays this as a percentage. A high percentage indicates strong corroboration; a low percentage warns of mixed signals. 9. Δ Score Momentum View o Plots the bar-to-bar change in the aggregated score (delta_score = score - score ) as a histogram. When positive, bars are drawn in green above zero; when negative, bars are drawn in red below zero. This reveals acceleration (rising Δ) or deceleration (falling Δ), supplementing the main oscillator. 10. Dashboard • A table in the indicator pane’s top-right with 11 rows: 1. EMA Cross status 2. VWMA Momentum status 3. Volume Spike status 4. ATR Breakout status 5. Higher-Timeframe Trend status 6. Score (numeric) 7. Confidence % 8. Regime (“Trending” or “Ranging”) 9. Trend Strength label (e.g., “Weak Bullish Trend”, “Strong Bearish Trend”) 10. Gauge bar visually representing score magnitude • All rows always present; size_opt (Normal, Small, Tiny) only changes text size via text_size, not which elements appear. This ensures full transparency. ________________________________________ ## 4. What Makes This Indicator Stand Out • Regime-Weighted Multi-Factor Score: Trend and momentum signals are adaptively weighted by market regime (trending vs. ranging) , reducing false signals. • Magnitude Scaling: VWMA and ATR breakout contributions are normalized by recent average momentum or ATR, giving finer gradation compared to simple ±1. • Integrated Divergence Penalty: Divergence directly adjusts the aggregated score rather than appearing as a separate subplot; this influences alerts and trend labeling in real time. • Confidence Meter: Shows the percentage of sub-signals in agreement, providing transparency and preventing blind trust in a single metric. • Δ Score Histogram Momentum View: A histogram highlights acceleration or deceleration of the aggregated trend score, helping detect shifts early. • Flexible Dashboard: Always-visible component statuses and summary metrics in one place; text size scaling keeps the full picture available in cramped layouts. • Lookahead-Safe HTF Confirmation: Uses lookahead_off so no future data is accessed from higher timeframes, avoiding repaint bias. • Repaint Transparency: Divergence detection uses pivot functions that inherently confirm only after lookback bars; description documents this lag so users understand how and when divergence labels appear. • Open-Source & Educational: Full, well-commented Pine v6 code is provided; users can learn from its structure: manual ADX computation, conditional plotting with series = show ? value : na, efficient use of table.new in barstate.islast, and grouped inputs with tooltips. • Compliance-Conscious: All plots have descriptive titles; inputs use clear names; no unnamed generic “Plot” entries; manual ADX uses RMA; all request.security calls use lookahead_off. Code comments mention repaint behavior and limitations. ________________________________________ ## 5. Recommended Timeframes & Tuning • Any Timeframe: The indicator works on small (e.g., 1m) to large (daily, weekly) timeframes. However: o On very low timeframes (<1m or tick charts), noise may produce frequent whipsaws. Consider increasing smoothing lengths, disabling certain components (e.g., volume spike if volume data noisy), or using a larger pivot lookback for divergence. o On higher timeframes (daily, weekly), consider longer lookbacks for ATR breakout or divergence, and set Higher-Timeframe trend appropriately (e.g., 4H HTF when on 5 Min chart). • Defaults & Experimentation: Default input values are chosen to be balanced for many liquid markets. Users should test with replay or historical analysis on their symbol/timeframe and adjust: o ADX threshold (e.g., 20–30) based on instrument volatility. o VWMA and ATR scaling lengths to match average volatility cycles. o Pivot lookback for divergence: shorter for faster markets, longer for slower ones. • Combining with Other Analysis: Use in conjunction with price action, support/resistance, candlestick patterns, order flow, or other tools as desired. The aggregated score and alerts can guide attention but should not be the sole decision-factor. ________________________________________ ## 6. How Scoring and Logic Works (Step-by-Step) 1. Compute Sub-Scores o EMA Cross: Evaluate fast EMA > slow EMA ? +1 : fast EMA < slow EMA ? -1 : 0. o VWMA Momentum: Calculate vwma = ta.vwma(close, length), then vwma_mom = vwma - vwma . Normalize: divide by recent average absolute momentum (e.g., ta.sma(abs(vwma_mom), lookback)), clip to . o Volume Spike: Compute vol_SMA = ta.sma(volume, len). If volume > vol_SMA * multiplier AND price moved up ≥ threshold%, assign +1; if moved down ≥ threshold%, assign -1; else 0. o ATR Breakout: Determine recent high/low over lookback. If close > high + ATR*mult, compute distance = close - (high + ATR*mult), normalize by ATR, cap at a configured maximum. Assign positive contribution. Similarly for bearish breakout below low. o Higher-Timeframe Trend: Use request.security(..., lookahead=barmerge.lookahead_off) to fetch HTF EMAs; assign +1 or -1 based on alignment. 2. ADX Regime Weighting o Compute manual ADX: directional movements (+DM, –DM), smoothed via RMA, DI+ and DI–, then DX and ADX via RMA. If ADX ≥ threshold, market is considered “Trending”; otherwise “Ranging.” o If trending, trend-based contributions (EMA, VWMA, ATR, HTF) use full weight = 1.0. If ranging, use weight = ranging_weight (e.g., 0.5) to down-weight them. Volume spike stays binary ±1 (optional to change if desired). 3. Aggregate Raw Score o Sum weighted contributions of all enabled components. Count the number of enabled components; if zero, default count = 1 to avoid division by zero. 4. Divergence Penalty o Detect pivot highs/lows on price and corresponding RSI values, using a lookback. When price and RSI diverge (bearish or bullish divergence), check if current raw score is in the opposing direction:  If bearish divergence (price higher high, RSI lower high) and raw score currently positive, subtract a penalty (e.g., 0.5).  If bullish divergence (price lower low, RSI higher low) and raw score currently negative, add a penalty. o This reduces score magnitude to reflect weakening momentum, without flipping the trend outright. 5. Normalize and Smooth o Normalized score = (raw_score / number_of_enabled_components) * 100. This yields a roughly range. o Optional EMA smoothing of this normalized score to reduce noise. 6. Interpretation o Sign: >0 = net bullish bias; <0 = net bearish bias; near zero = neutral. o Magnitude Zones: Compare |score| to thresholds (Weak, Medium, Strong) to label trend strength (e.g., “Weak Bullish Trend”, “Medium Bearish Trend”, “Strong Bullish Trend”). o Δ Score Histogram: The histogram bars from zero show change from previous bar’s score; positive bars indicate acceleration, negative bars indicate deceleration. o Confidence: Percentage of sub-indicators aligned with the score’s sign. o Regime: Indicates whether trend-based signals are fully weighted or down-weighted. ________________________________________ ## 7. Oscillator Plot & Visualization: How to Read It Main Score Line & Area The oscillator plots the aggregated score as a line, with colored fill: green above zero for bullish area, red below zero for bearish area. Horizontal reference lines at ±Weak, ±Medium, and ±Strong thresholds mark zones: crossing above +Weak suggests beginning of bullish bias, above +Medium for moderate strength, above +Strong for strong trend; similarly for bearish below negative thresholds. Δ Score Histogram If enabled, a histogram shows score - score . When positive, bars appear in green above zero, indicating accelerating bullish momentum; when negative, bars appear in red below zero, indicating decelerating or reversing momentum. The height of each bar reflects the magnitude of change in the aggregated score from the prior bar. Divergence Highlight Fill If enabled, when a pivot-based divergence is confirmed: • Bullish Divergence : fill the area below zero down to –Weak threshold in green, signaling potential reversal from bearish to bullish. • Bearish Divergence : fill the area above zero up to +Weak threshold in red, signaling potential reversal from bullish to bearish. These fills appear with a lag equal to pivot lookback (the number of bars needed to confirm the pivot). They do not repaint after confirmation, but users must understand this lag. Trend Direction Label When score crosses above or below the Weak threshold, a small label appears near the score line reading “Bullish” or “Bearish.” If the score returns within ±Weak, the label “Neutral” appears. This helps quickly identify shifts at the moment they occur. Dashboard Panel In the indicator pane’s top-right, a table shows: 1. EMA Cross status: “Bull”, “Bear”, “Flat”, or “Disabled” 2. VWMA Momentum status: similarly 3. Volume Spike status: “Bull”, “Bear”, “No”, or “Disabled” 4. ATR Breakout status: “Bull”, “Bear”, “No”, or “Disabled” 5. Higher-Timeframe Trend status: “Bull”, “Bear”, “Flat”, or “Disabled” 6. Score: numeric value (rounded) 7. Confidence: e.g., “80%” (colored: green for high, amber for medium, red for low) 8. Regime: “Trending” or “Ranging” (colored accordingly) 9. Trend Strength: textual label based on magnitude (e.g., “Medium Bullish Trend”) 10. Gauge: a bar of blocks representing |score|/100 All rows remain visible at all times; changing Dashboard Size only scales text size (Normal, Small, Tiny). ________________________________________ ## 8. Example Usage (Illustrative Scenario) Example: BTCUSD 5 Min 1. Setup: Add “Trend Gauge ” to your BTCUSD 5 Min chart. Defaults: EMAs (8/21), VWMA 14 with lookback 3, volume spike settings, ATR breakout 14/5, HTF = 5m (or adjust to 4H if preferred), ADX threshold 25, ranging weight 0.5, divergence RSI length 14 pivot lookback 5, penalty 0.5, smoothing length 3, thresholds Weak=20, Medium=50, Strong=80. Dashboard Size = Small. 2. Trend Onset: At some point, price breaks above recent high by ATR multiple, volume spikes upward, faster EMA crosses above slower EMA, HTF EMA also bullish, and ADX (manual) ≥ threshold → aggregated score rises above +20 (Weak threshold) into +Medium zone. Dashboard shows “Bull” for EMA, VWMA, Vol Spike, ATR, HTF; Score ~+60–+70; Confidence ~100%; Regime “Trending”; Trend Strength “Medium Bullish Trend”; Gauge ~6–7 blocks. Δ Score histogram bars are green and rising, indicating accelerating bullish momentum. Trader notes the alignment. 3. Divergence Warning: Later, price makes a slightly higher high but RSI fails to confirm (lower RSI high). Pivot lookback completes; the indicator highlights a bearish divergence fill above zero and subtracts a small penalty from the score, causing score to stall or retrace slightly. Dashboard still bullish but score dips toward +Weak. This warns the trader to tighten stops or take partial profits. 4. Trend Weakens: Score eventually crosses below +Weak back into neutral; a “Neutral” label appears, and a “Neutral Trend” alert fires if enabled. Trader exits or avoids new long entries. If score subsequently crosses below –Weak, a “Bearish” label and alert occur. 5. Customization: If the trader finds VWMA noise too frequent on this instrument, they may disable VWMA or increase lookback. If ATR breakouts are too rare, adjust ATR length or multiplier. If ADX threshold seems off, tune threshold. All these adjustments are explained in Inputs section. 6. Visualization: The screenshot shows the main score oscillator with colored areas, reference lines at ±20/50/80, Δ Score histogram bars below/above zero, divergence fill highlighting potential reversal, and the dashboard table in the top-right. ________________________________________ ## 9. Inputs Explanation A concise yet clear summary of inputs helps users understand and adjust: 1. General Settings • Theme (Dark/Light): Choose background-appropriate colors for the indicator pane. • Dashboard Size (Normal/Small/Tiny): Scales text size only; all dashboard elements remain visible. 2. Indicator Settings • Enable EMA Cross: Toggle on/off basic EMA alignment check. o Fast EMA Length and Slow EMA Length: Periods for EMAs. • Enable VWMA Momentum: Toggle VWMA momentum check. o VWMA Length: Period for VWMA. o VWMA Momentum Lookback: Bars to compare VWMA to measure momentum. • Enable Volume Spike: Toggle volume spike detection. o Volume SMA Length: Period to compute average volume. o Volume Spike Multiplier: How many times above average volume qualifies as spike. o Min Price Move (%): Minimum percent change in price during spike to qualify as bullish or bearish. • Enable ATR Breakout: Toggle ATR breakout detection. o ATR Length: Period for ATR. o Breakout Lookback: Bars to look back for recent highs/lows. o ATR Multiplier: Multiplier for breakout threshold. • Enable Higher Timeframe Trend: Toggle HTF EMA alignment. o Higher Timeframe: E.g., “5” for 5-minute when on 1-minute chart, or “60” for 5 Min when on 15m, etc. Uses lookahead_off. • Enable ADX Regime Filter: Toggles regime-based weighting. o ADX Length: Period for manual ADX calculation. o ADX Threshold: Value above which market considered trending. o Ranging Weight Multiplier: Weight applied to trend components when ADX < threshold (e.g., 0.5). • Scale VWMA Momentum: Toggle normalization of VWMA momentum magnitude. o VWMA Mom Scale Lookback: Period for average absolute VWMA momentum. • Scale ATR Breakout Strength: Toggle normalization of breakout distance by ATR. o ATR Scale Cap: Maximum multiple of ATR used for breakout strength. • Enable Price-RSI Divergence: Toggle divergence detection. o RSI Length for Divergence: Period for RSI. o Pivot Lookback for Divergence: Bars on each side to identify pivot high/low. o Divergence Penalty: Amount to subtract/add to score when divergence detected (e.g., 0.5). 3. Score Settings • Smooth Score: Toggle EMA smoothing of normalized score. • Score Smoothing Length: Period for smoothing EMA. • Weak Threshold: Absolute score value under which trend is considered weak or neutral. • Medium Threshold: Score above Weak but below Medium is moderate. • Strong Threshold: Score above this indicates strong trend. 4. Visualization Settings • Show Δ Score Histogram: Toggle display of the bar-to-bar change in score as a histogram. Default true. • Show Divergence Fill: Toggle background fill highlighting confirmed divergences. Default true. Each input has a tooltip in the code. ________________________________________ ## 10. Limitations, Repaint Notes, and Disclaimers 10.1. Repaint & Lag Considerations • Pivot-Based Divergence Lag: The divergence detection uses ta.pivothigh / ta.pivotlow with a specified lookback. By design, a pivot is only confirmed after the lookback number of bars. As a result: o Divergence labels or fills appear with a delay equal to the pivot lookback. o Once the pivot is confirmed and the divergence is detected, the fill/label does not repaint thereafter, but you must understand and accept this lag. o Users should not treat divergence highlights as predictive signals without additional confirmation, because they appear after the pivot has fully formed. • Higher-Timeframe EMA Alignment: Uses request.security(..., lookahead=barmerge.lookahead_off), so no future data from the higher timeframe is used. This avoids lookahead bias and ensures signals are based only on completed higher-timeframe bars. • No Future Data: All calculations are designed to avoid using future information. For example, manual ADX uses RMA on past data; security calls use lookahead_off. 10.2. Market & Noise Considerations • In very choppy or low-liquidity markets, some components (e.g., volume spikes or VWMA momentum) may be noisy. Users can disable or adjust those components’ parameters. • On extremely low timeframes, noise may dominate; consider smoothing lengths or disabling certain features. • On very high timeframes, pivots and breakouts occur less frequently; adjust lookbacks accordingly to avoid sparse signals. 10.3. Not a Standalone Trading System • This is an indicator, not a complete trading strategy. It provides signals and context but does not manage entries, exits, position sizing, or risk management. • Users must combine it with their own analysis, money management, and confirmations (e.g., price patterns, support/resistance, fundamental context). • No guarantees: past behavior does not guarantee future performance. 10.4. Disclaimers • Educational Purposes Only: The script is provided as-is for educational and informational purposes. It does not constitute financial, investment, or trading advice. • Use at Your Own Risk: Trading involves risk of loss. Users should thoroughly test and use proper risk management. • No Guarantees: The author is not responsible for trading outcomes based on this indicator. • License: Published under Mozilla Public License 2.0; code is open for viewing and modification under MPL terms. ________________________________________ ## 11. Alerts • The indicator defines three alert conditions: 1. Bullish Trend: when the aggregated score crosses above the Weak threshold. 2. Bearish Trend: when the score crosses below the negative Weak threshold. 3. Neutral Trend: when the score returns within ±Weak after being outside. Good luck – BullByte
Pine Script® indicator
by BullByte
3
Kaufman Trend Strength Signal█ Overview Kaufman Trend Strength Signal is an advanced trend detection tool that decomposes price action into its underlying directional trend and localized oscillation using a vector-based Kalman Filter. By integrating adaptive smoothing and dynamic weighting via a weighted moving average (WMA), this indicator provides real-time insight into both trend direction and trend strength — something standard moving averages often fail to capture. The core model assumes that observed price consists of two components: (1) a directional trend, and (2) localized noise or oscillation. Using a two-step Predict & Update cycle, the filter continuously refines its trend estimate as new market data becomes available. █ How It Works This indicator employs a Kalman Filter model that separates the trend from short-term fluctuations in a price series. Predict & Update Cycle : With each new bar, the filter predicts the price state and updates that prediction using the latest observed price, producing a smooth but adaptive trend line. Trend Strength Normalization : Internally, the oscillator component is normalized against recent values (N periods) to calculate a trend strength score between -100 and +100. (Note: The oscillator is not plotted on the chart but is used for signal generation.) Filtered MA Line : The trend component is plotted as a smooth Kalman Filter-based moving average (MA) line on the main chart. Threshold Cross Signals : When the internal trend strength crosses a user-defined threshold (default: ±60), visual entry arrows are displayed to signal momentum shifts. █ Key Features Adaptive Trend Estimation : Real-time filtering that adjusts dynamically to market changes. Visual Buy/Sell Signals : Entry arrows appear when the trend strength crosses above or below the configured threshold. Built-in Range Filter : The MA line turns blue when trend strength is weak (|value| < 10), helping you filter out choppy, sideways conditions. █ How to Use Trend Detection :  • Green MA = bullish trend  • Red MA = bearish trend  • Blue MA = no trend / ranging market Entry Signals :  • Green triangle = trend strength crossed above +Threshold → potential bullish entry  • Red triangle = trend strength crossed below -Threshold → potential bearish entry █ Settings Entry Threshold : Level at which the trend strength triggers entry signals (default: 60) Process Noise 1 & 2 : Control the filter’s responsiveness to recent price action. Higher = more reactive; lower = smoother. Measurement Noise : Sets how much the filter "trusts" price data. High = smoother MA, low = faster response but more noise. Trend Lookback (N2) : Number of bars used to normalize trend strength. Lower = more sensitive; higher = more stable. Trend Smoothness (R2) : WMA smoothing applied to the trend strength calculation. █ Visual Guide Green MA Line → Bullish trend Red MA Line → Bearish trend Blue MA Line → Sideways/range Green Triangle → Entry signal (trend strengthening) Red Triangle → Entry signal (trend weakening) █ Best Practices In high-volatility conditions, increase Measurement Noise to reduce false signals. Combine with other indicators (e.g., RSI, MACD, EMA) for confirmation and filtering. Adjust "Entry Threshold" and noise settings depending on your timeframe and trading style. ❗ Disclaimer This script is provided for educational purposes only and should not be considered financial advice or a recommendation to buy/sell any asset. Trading involves risk. Past performance does not guarantee future results. Always perform your own analysis and use proper risk management when trading.
Pine Script® indicator
by PakunFX
Kaufman Trend Strategy# ✅ Kaufman Trend Strategy – Full Description (Script Publishing Version) **Kaufman Trend Strategy** is a dynamic trend-following strategy based on Kaufman Filter theory. It detects real-time trend momentum, reduces noise, and aims to enhance entry accuracy while optimizing risk. ⚠️ _For educational and research purposes only. Past performance does not guarantee future results._ --- ## 🎯 Strategy Objective - Smooth price noise using Kaufman Filter smoothing - Detect the strength and direction of trends with a normalized oscillator - Manage profits using multi-stage take-profits and adaptive ATR stop-loss logic --- ## ✨ Key Features - **Kaufman Filter Trend Detection** Extracts directional signal using a state space model. - **Multi-Stage Profit-Taking** Automatically takes partial profits based on color changes and zero-cross events. - **ATR-Based Volatility Stops** Stops adjust based on swing highs/lows and current market volatility. --- ## 📊 Entry & Exit Logic **Long Entry** - `trend_strength ≥ 60` - Green trend signal - Price above the Kaufman average **Short Entry** - `trend_strength ≤ -60` - Red trend signal - Price below the Kaufman average **Exit (Long/Short)** - Blue trend color → TP1 (50%) - Oscillator crosses 0 → TP2 (25%) - Trend weakens → Final exit (25%) - ATR + swing-based stop loss --- ## 💰 Risk Management - Initial capital: `$3,000` - Order size: `$100` per trade (realistic, low-risk sizing) - Commission: `0.002%` - Slippage: `2 ticks` - Pyramiding: `1` max position - Estimated risk/trade: `~0.1–0.5%` of equity > ⚠️ _No trade risks more than 5% of equity. This strategy follows TradingView script publishing rules._ --- ## ⚙️ Default Parameters - **1st Take Profit**: 50% - **2nd Take Profit**: 25% - **Final Exit**: 25% - **ATR Period**: 14 - **Swing Lookback**: 10 - **Entry Threshold**: ±60 - **Exit Threshold**: ±40 --- ## 📅 Backtest Summary - **Symbol**: USD/JPY - **Timeframe**: 1H - **Date Range**: Jan 3, 2022 – Jun 4, 2025 - **Trades**: 924 - **Win Rate**: 41.67% - **Profit Factor**: 1.108 - **Net Profit**: +$1,659.29 (+54.56%) - **Max Drawdown**: -$1,419.73 (-31.87%) --- ## ✅ Summary This strategy uses Kaufman filtering to detect market direction with reduced lag and increased smoothness. It’s built with visual clarity and strong trade management, making it practical for both beginners and advanced users. --- ## 📌 Disclaimer This script is for educational and informational purposes only and should not be considered financial advice. Use with proper risk controls and always test in a demo environment before live trading.
Pine Script® strategy
by PakunFX
Directional Movement Index (DMI) + AlertsThis is a Study with associated visual indicators and Bullish/Bearish Alerts for Directional Movement (DMI). It consists of an Average Directional Index (ADX), Plus Directional Indicator (+DI) and Minus Directional Indicator (-DI). Published by J. Welles Wilder in 1978 for use with currencies and commodities which are typically more volatile than stocks and have stronger trends. Development Notes --------------------------- This indicator, and most of the descriptions below, were derived largely from the TradingView reference manual. Feedback and suggestions for improvement are more than welcome, as well are recommended Input settings and best practices for use. tradingview.com/chart/?solution=43000502250 Strategy Description --------------------------- ADX defines whether or not there is a trend present; +DI and -DI compliment the ADX by taking direction into account. An ADX above 25 indicates a strong trend, and a Bullish alert is subsequently triggered when +DI is above -DI and a Bearish alert when -DI is above +DI. Note that the Bullish or Bearish crossover alert will only trigger if ADX is simultaneously above 25 during the crossover event. If ADX later rises to 25 and +DI is still greater than -DI, or -DI greater than +DI, then a delayed alert will not trigger by design. Basic Use --------------------------- Acceptable DMI values are up to the trader's interpretation and may change depending on the financial instrument being examined. Recommend not changing any default values without being first familiar with their purpose and impact on the indicator at large. Confidence in price action and trend is higher when two or more indicators are in agreement -- therefore we recommend not using this indicator by itself to determine entry or exit trade opportunities. Recommend also choosing 'Once Per Bar Close' when creating alerts. Inputs --------------------------- ADX Smoothing - the time period to be used in calculating the ADX which has a smoothing component (14 is the Default). DI Length - the time period to be used in calculating the DI (14 is the Default). Key Level - any trade with the ADX above the key level is a strong indicator that it is trending (23 to 25 is the suggested setting). Sensitivity - an incremental variable to test whether the past n candles are in the same bullish or bearish state before triggering a delayed crossover alert (3 is the Default). Filter out some noise and reduces active alerts. Show ADX Option - two visual styles are provided for user preference, a visible ADX line or a background overlay (green or red when ADX is above the key level, for bullish or bearish, and gray when below). Color Candles - an option to transpose the bullish and bearish crossovers to the main candle bars. Can be turned off in the Style Tab by deselecting 'Bar Colors'. Dark blue is bullish, dark purple is bearish, and the black inner color is neutral. Note that the outer red and green border will still be distinguished by whether each individual candle is bearish or bullish during the specified timeframe. Indicator Visuals --------------------------- Bullish or Bearish plot based on DMI strategy (ADX and +/-DI values). Visual cues are intended to improve analysis and decrease interpretation time during trading, as well as to aid in understanding the purpose of this study and how its inclusion can benefit a comprehensive trading strategy. Trend Strength --------------------------- To analyze trend strength, the focus should be on the ADX line and not the +DI or -DI lines. An ADX reading above 25 indicates a strong trend, while a reading below 20 indicates a weak or non-existent trend. A reading between those two values would be considered indeterminable. Though what is truly a strong trend or a weak trend depends on the financial instrument being examined; historical analysis can assist in determining appropriate values. Bullish DI Cross --------------------------- 1. ADX must be over 25 (strong trend) (value is determined by the trader) 2. +DI cross above -DI 3. Set Stop Loss at the current day's low (any +DI cross-backs below -DI should be ignored) 4. Set trailing stop if ADX strengthens (i.e., signal rises) Bearish DI Cross --------------------------- 1. ADX must be over 25 (strong trend) (value is determined by the trader) 2. -DI cross above +DI 3. Set Stop Loss at the current day's high (any -DI cross-backs below +DI should be ignored) 4. Set trailing stop if ADX strengthens (i.e., signal rises) Disclaimer --------------------------- This post and the script are not intended to provide any financial advice. Trade at your own risk. No known repainting. Version 1.1 ------------------------- - Added multi-timeframe resolution using PineCoders secure security function to eliminate repainting. - Cleaned up option for selecting ADX view; and added a colored line as a choice, based on same bullish, bearish, or neutral colors as the background. - Added exit crossover indicator to aid in an overall strategy development. This ability pairs better with my CHOP Zone Entry Strategy which relies on DMI Exits. Note that exit conditions don't employ the sensitivity variable. Green labels are for Bullish exits and red are for Bearish. -- Exit condition is triggered if in an active Bullish or Bearish position and ADX drops below 25, Or if either the -DI crosses above +DI (for previously Bullish) or +DI crosses above -DI (for previously Bearish). - Added reverse position determination. Triggers when a Bullish entry occurs on the same candle as a Bearish exit, or vice versa. Green labels are for Bullish reverses and red are for Bearish. - Added selectable option to choose visible labels -- Bearish, Bullish, Both, Exits, Reverses, or All. -- Note that a reverse label will only show if the opposing entry and exit labels are set to show, otherwise the reverse will revert to the appropriate entry or exit on the chart. - Added alerts to account for new conditions. -- Note that alerts for crossovers, exits, and reverses will only be triggered if the associated labels are selected to be shown (i.e., what you choose to see on the chart is what you will be alerted to). Version 1.2 ------------------------- - Changed exit condition to be decided on by whether ADX is below 25 and on a +/-DI crossover. Versus being either or. The previous version had too many false triggers. This variety can now show multiple Bullish or Bearish alerts before an Exit condition too. I'm tempted to simply make this condition based on ADX, and not DI … thoughts? See lines 138 and 139. - Updated the Background view to have deeper shades of colors dependent upon the ADX trend strength. - Added an Oscillator view for the ADX and momentum computations to color the histogram by trend. DI lines are hidden. -- If ADX is Bullish, then the oscillator is colored light green in an uptrend and dark green in a downtrend; if Bearish, then its light red in an uptrend and dark redin a downtrend; if adx is below key level, then it is light gray in a downtrend and dark grey in the uptrend. - Added option to Hide ADX in case only the Directional lines are desired. This could be useful if you would like to have the ADX oscillator in one panel and +/-DI crossovers in another. - Added a Columnar view for the ADX. DI lines are hidden. This view is really simple and compact, with the trend strength still easily understood. Colors are the same as for the oscillator -- the deeper the shade of green or red, then the higher the ADX trend strength level. - Added a Trend Strength label. ADX Trend Strength Trade (Y/N) Setup Types 0 to 10 = Barely Breathing N N/A 10 to 20 = Weak Trend Y Range/Pre-Breakout 20 to 30 = Potentially Starting to Trend Y Early Stage Trend 30 to 50 = Strong Trend Y Ride the Wave 50 to 75 = Very Strong Trend N Exhaustion 75 to 100 = Extremely Strong Trend N N/A Version 1.3 ------------------------- Updated to Pine Script v5 to resolve errors from the deprecated v4 version. This is a reissue of a previously published script that was hidden due to a v4 compatibility issue. 'https://www.tradingview.com/script/9OoEHrv5-Directional-Movement-Index-DMI-Alerts/'
Pine Script® indicator
by IronCasper
Sentiment Master Oscillator[BullByte] The Sentiment Master Oscillator is a modern market sentiment indicator designed for traders seeking to identify early trend shifts and potential reversals with clarity. This oscillator combines multiple technical tools—RSI, MACD, EMAs, ADX, ATR, and volume filters—to deliver layered signals that help you assess market momentum in a clear and simplified manner. Key Features: - Multi-Indicator Approach : Integrates RSI (with a smoothing function), MACD, and two EMAs to gauge momentum and trend direction. The oscillator also includes ADX and ATR filters to ensure that only markets with sufficient directional strength and volatility generate signals. - Dynamic Signal Zones : The oscillator produces a raw value ranging roughly from -3 to +3 (adjustable via a scaling factor). Positive readings suggest bullish conditions, while negative readings indicate bearish trends. Visual zones (Early, Confirmed, Strong) are clearly marked with color-coded horizontal lines to help you interpret the strength of the signal at a glance. - Adaptive Smoothing : For those who prefer quicker, more responsive signals (ideal for scalping), an adaptive smoothing option is available. When enabled, it applies a shorter smoothing period to the oscillator; otherwise, a more conservative base period is used. - Reversal Alerts : Yellow dots are plotted on the chart to highlight potential reversal points. These alerts are triggered when the oscillator crosses specific thresholds, coupled with volume and ATR conditions, signaling that a top or bottom may be forming. - Customizable Filters : - ATR Filter :Ensures that the market's volatility is above a set threshold before signaling. - ADX Filter :Confirms sufficient trend strength. - Volume Filter : Requires that trading volume surges above a multiple of its simple moving average, filtering out low-volume noise. - Clear Signal Messaging : Based on the combined signals from various indicators, the script categorizes market sentiment into actionable messages such as "Early Buy", "Confirmed Buy", "Strong Buy", "Early Sell", "Confirmed Sell", and "Strong Sell". A "Grey Zone" label is used when the oscillator is near neutral, indicating that no clear trend is present. How to Use : 1. Entry and Exit Decisions : Use the different signal stages (Early, Confirmed, Strong) as guides for your entries and exits. 2. Trend Confirmation : Rely on the multi-indicator setup for added confirmation of prevailing market conditions before executing trades. 3. Reversal Cues : Pay attention to the reversal dots for potential turning points in the market, which can be used to adjust positions or initiate trades. Disclaimer: This indicator is intended for educational and informational purposes only. It should not be taken as financial advice. Always use appropriate risk management and combine it with your analysis before making any trading decisions. Past performance is not indicative of future results. By adhering to TradingView's publishing guidelines, the BullByte Sentiment Master is designed to provide transparency, simplicity, and robust analysis tools to enhance your trading strategy. Enjoy a clearer view of market sentiment and make more informed trading decisions!
Pine Script® indicator
by BullByte
9
Tri-Fold BB(Trend-Strength)*indicator isn't preset to look as displayed, do so accordingly* "Tri-Fold BB" is an indicator that utilizes three Bollinger Bands, each of different length as a way to represent trend strength. This allows one to see the trend strength relative to multiple timeframes: short, mid, and long term trend strength. This is helpful because it provides the user with a holistic view of the asset. How it Works The indicator is preset to utilizing three different Bollinger Bands with length: 20, 50, and 100. This indicator simply plots the price of an asset relative to its specified Bollinger Band. For an example, if the price of the asset were to surpass its 20BB standard deviations, it would display so accordingly, though from the perspective of lets say... the 100, it may have looked like it barely moved up a standard deviation relative to 100BB because the standard deviations of a 100BB are more spread out. Its important to view the trend strength from multiple lengths because it allows one to gauge whether the short term trend strength is likely to hold or not. A better way to speculate on asset behavior. Another way to view this indicator is similar to that of the BB% indicator, except this indicator allows us to view price relative to standard deviations, across multiple timeframes. More holistic, more utility provided. Basic Understanding: Each line = Standard Deviation (3 upper, 3 lower) Mid-Line = Basis relative to BB(20sma, 50sma, 100sma) If price goes under Basis, that means it crossed below their specified sma(significant bull or bear signal) I've also added HMA's relative to each BB incase one were to decide in creating some sort of trading strategy with it. I personally don't use them but I understand that it could be helpful to some so I left it in there. If you don't like them then simply deselect them and then save your desired setup as default. In regard to regular indications of bullish or bearishness, i'd like to add that I use this indicator for the sole purpose of providing an idea of trend strength. I personally am unsure to state that cross overs directly indicate that there is a bull or bear move because I've seen instances where the price of an asset went in a direction contrary to what it 'should' have if we were to use that cross over strategy. Though of course, feel free to use this indicator as desired.
Pine Script® indicator
by ddcakez
Linear Regression Intensity [AlgoAlpha]Introducing the Linear Regression Intensity indicator by AlgoAlpha, a sophisticated tool designed to measure and visualize the strength of market trends using linear regression analysis. This indicator not only identifies bullish and bearish trends with precision but also quantifies their intensity, providing traders with deeper insights into market dynamics. Whether you’re a novice trader seeking clearer trend signals or an experienced analyst looking for nuanced trend strength indicators, Linear Regression Intensity offers the clarity and detail you need to make informed trading decisions. Key Features: 📊 Comprehensive Trend Analysis: Utilizes linear regression over customizable periods to assess and quantify trend strength. 🎨 Customizable Appearance: Choose your preferred colors for bullish and bearish trends to align with your trading style. 🔧 Flexible Parameters: Adjust the lookback period, range tolerance, and regression length to tailor the indicator to your specific strategy. 📉 Dynamic Bar Coloring: Instantly visualize trend states with color-coded bars—green for bullish, red for bearish, and gray for neutral. 🏷️ Intensity Labels: Displays dynamic labels that represent the intensity of the current trend, helping you gauge market momentum at a glance. 🔔 Alert Conditions: Set up alerts for strong bullish or bearish trends and trend neutrality to stay ahead of market movements without constant monitoring. Quick Guide to Using Linear Regression Intensity: 🛠 Add the Indicator: Simply add Linear Regression Intensity to your TradingView chart from your favorites. Customize the settings such as lookback period, range tolerance, and regression length to fit your trading approach. 📈 Market Analysis: Observe the color-coded bars to quickly identify the current trend state. Use the intensity labels to understand the strength behind each trend, allowing for more strategic entry and exit points. 🔔 Set Up Alerts: Enable alerts for when strong bullish or bearish trends are detected or when the trend reaches a neutral zone. This ensures you never miss critical market movements, even when you’re away from the chart. How It Works: The Linear Regression Intensity indicator leverages linear regression to calculate the underlying trend of a selected price source over a specified length. By analyzing the consistency of the regression values within a defined lookback period, it determines the trend’s intensity based on a percentage tolerance. The indicator aggregates pairwise comparisons of regression values to assess whether the trend is predominantly upward or downward, assigning a state of bullish, bearish, or neutral accordingly. This state is then visually represented through dynamic bar colors and intensity labels, offering a clear and immediate understanding of market conditions. Additionally, the inclusion of Average True Range (ATR) ensures that the intensity visualization accounts for market volatility, providing a more robust and reliable trend assessment. With customizable settings and alert conditions, Linear Regression Intensity empowers traders to fine-tune their strategies and respond swiftly to evolving market trends. Elevate your trading strategy with Linear Regression Intensity and gain unparalleled insights into market trends! 🌟📊
Pine Script® indicator
by AlgoAlpha
2
Triple Smoothed Signals [AlgoAlpha]Introducing the Triple Smoothed Signals indicator by AlgoAlpha, a powerful tool designed to help traders identify trend direction and market momentum with greater accuracy. By applying triple smoothing techniques to your chosen data source, this indicator filters out market noise, allowing you to focus on significant price movements. Perfect for traders looking to enhance their technical analysis and gain an edge in the markets. Key Features 🎨 Customizable Moving Averages : Choose between EMA, SMA, RMA, or WMA for both the triple smoothing and the signal line to tailor the indicator to your trading style. 🛠 Adjustable Smoothing Lengths : Configure the main smoothing length and signal length to fit different timeframes and market conditions. 🌈 Dynamic Color Fills : Visual gradients and fills highlight trend strength and direction, making chart analysis more intuitive. 🔔 Alerts : Set alerts for bullish and bearish crossover signals to stay ahead of market moves without constant chart monitoring. 📈 Clear Signal Visualization : Bullish and bearish signals are plotted directly on your chart for easy interpretation and timely decision-making. Quick Guide to Using the Triple Smoothed Signals Indicator 🛠 Add the Indicator : Add the indicator to your TradingView chart by clicking on the star icon to add it to your favorites. Customize the settings such as the main smoothing length, signal length, data source, and moving average types to match your trading strategy. 📊 Market Analysis : Monitor the crossovers between the triple smoothed moving average and the signal line. A bullish signal is generated when the signal line crosses under the triple smoothed MA, indicating a potential upward trend. Conversely, a bearish signal occurs when the signal line crosses over the triple smoothed MA, suggesting a possible downward trend. 🔔 Alerts : Enable notifications for reversal signals and trend shifts to stay informed about market movements without constantly monitoring the chart. How It Works The Triple Smoothed Signals indicator enhances trend detection by applying a triple smoothing process to your selected data source using the moving average type of your choice (EMA, SMA, RMA, or WMA). This triple smoothed moving average (v1) effectively reduces short-term fluctuations and noise, revealing the underlying market trend. A signal line (v2) is then calculated by smoothing the triple smoothed MA with a separate moving average, further refining the signal. The indicator calculates the normalized distance between the triple smoothed MA and the signal line over a specified period, which is used to create dynamic color gradients and fills on the chart. These visual elements provide immediate insight into trend strength and direction. Bullish and bearish signals are generated based on the crossovers between the signal line and the triple smoothed MA, and are plotted directly on the chart along with customizable alerts to assist traders in making timely decisions.
Pine Script® indicator
by AlgoAlpha
12
Volatility Gaussian Bands [BigBeluga]The Volatility Gaussian Bands indicator is a cutting-edge tool designed to analyze market trends and volatility with high precision. By applying a Gaussian filter to smooth price data and implementing dynamic bands based on market volatility, this indicator provides clear signals for trend direction, strength, and potential reversals. With updated volatility calculations, it enhances the accuracy of trend detection, making it a powerful addition to any trader's toolkit. ⮁ KEY FEATURES & USAGE ● Gaussian Filter Trend Bands: The Gaussian Filter forms the foundation of this indicator by smoothing price data to reveal the underlying trend. The trend is visualized through upper and lower bands that adjust dynamically based on market volatility. These bands provide clear visual cues for traders: a crossover above the upper band indicates a potential uptrend, while a cross below the lower band signals a potential downtrend. This feature allows traders to identify trends with greater accuracy and act accordingly. ● Dynamic Trend Strength Gauges: The indicator includes trend strength gauges positioned at the top and bottom of the chart. These gauges dynamically measure the strength of the uptrend and downtrend, based on the middle Gaussian line. Even if the trend is downward, a rising midline will cause the upward trend strength gauge to show an increase, offering a nuanced view of the market’s momentum. Weakening of the trend: ● Fast Trend Change Indicators: Triangles with a "+" symbol appear on the chart to signal rapid changes in trend direction. These indicators are particularly useful when the trend changes swiftly while the midline continues to grow in its previous direction. For instance, during a downtrend, if the trend suddenly shifts upward while the midline is still declining, a triangle with a "+" will indicate this quick reversal. This feature is crucial for traders looking to capitalize on rapid market movements. ● Retest Signals: Retest signals, displayed as triangles, highlight potential areas where the price may retest the Gaussian line during a trend. These signals provide an additional layer of analysis, helping traders confirm trend continuations or identify possible reversals. The retest signals can be customized based on the trader’s preferences. ⮁ CUSTOMIZATION ● Length Adjustment: The length of the Gaussian filter can be customized to control the sensitivity of trend detection. Shorter lengths make the indicator more responsive, while longer lengths offer a smoother, more stable trend line. ● Volatility Calculation Mode: Traders can select from different modes (AVG, MEDIAN, MODE) to calculate the Gaussian filter, allowing for flexibility in how trends are detected and analyzed. ● Retest Signals Toggle: Enable or disable the retest signals based on your trading strategy. This toggle allows traders to choose whether they want these additional signals to appear on the chart, providing more control over the information displayed during their analysis. ⮁ CONCLUSION The Volatility Gaussian Bands indicator is a versatile and powerful tool for traders focused on trend and volatility analysis. By combining Gaussian-filtered trend lines with dynamic volatility bands, trend strength gauges, and rapid trend change indicators, this tool provides a comprehensive view of market conditions. Whether you are following established trends or looking to catch early reversals, the Volatility Gaussian Bands offers the precision and adaptability needed to enhance your trading strategy.
Pine Script® indicator
by BigBeluga
20
Half Trend HeikinAshi [BigBeluga]This indicator is a cool combo of the half-trend methodology and Heikin Ashi candles. The main idea is to help spot where the market is trending and where it might be reversing by using a mix of moving averages and the highest and lowest price data values. What’s nice is that it doesn’t just give you trend lines but also converts them into Heikin Ashi candles, so you can visually gauge the strength of a trend based on candle sizes. NIFTY50: NVIDIA: 🔵 IDEA The thinking behind this Half Trend HeikinAshi indicator is pretty straightforward: it’s designed to give you a flexible way to detect trends and trend reversals, but with an added bonus—measuring trend strength via Heikin Ashi candles. The core idea is based on the classic half-trend strategy, where it adjusts to the highest and lowest price values within a certain period. The Heikin Ashi transformation smooths out half-trend line, making it easier to spot solid trends and potential reversals. 🔵 KEY FEATURES & USAGE ◉ Half Trend Calculation with Reversal Signals: The main feature here is spotting trends based on a moving average of the close price and the highest/lowest price data. //#region ———————————————————— Calculations // Calculate moving average of close prices series float closeMA = ta.sma(close, amplitude) // Calculate highest high and lowest low series float highestHigh = ta.highest(amplitude) series float lowestLow = ta.lowest(amplitude) // Initialize hl_t on the first bar if barstate.isfirst hl_t := close // Update hl_t based on conditions switch closeMA < hl_t and highestHigh < hl_t => hl_t := highestHigh closeMA > hl_t and lowestLow > hl_t => hl_t := lowestLow => hl_t := hl_t When the trend flips, you’ll see arrows on your chart—either pointing up or down—marking the exact price where that reversal occurred. This makes it easy to see where the market might turn, which is helpful for timing entries and exits. ◉ Heikin Ashi Candlestick Transformation: There’s a Heikin Ashi mode that transforms the half-trend line into Heikin Ashi candles. These smooth out market noise and make the overall trend much clearer. ◉ Trend Strength Calculation: The indicator doesn’t just stop at showing trends. It also calculates trend strength based on the size of the Heikin Ashi candles. Bigger candles mean stronger trends, and smaller ones indicate weaker momentum. You can see this displayed on the dashboard, so you know exactly how strong the current trend is at any moment. ◉ Graphical Dashboard Display: You’ve got a small dashboard right on the chart that shows key info like the ticker, timeframe, and whether the trend is up or down. If you’re in Heikin Ashi mode, it shows trend strength instead. So, no need to dig through the data—you can just glance at the dashboard for a quick market read. 🔵 CUSTOMIZATION Amplitude Input: You can tweak the amplitude to control how sensitive the half-trend line is. A lower setting makes it more reactive to small price moves, while a higher setting smooths it out for longer-term trends. Heikin Ashi Toggle: You can easily switch between standard half-trend lines and Heikin Ashi candle mode, depending on how you prefer to see the market. Trend Colors: You’ve got control over the colors for up and down trends, so you can adjust the appearance to fit your charting style. Signal Labels size: Change Labels signal sizes for your preference 🔵 CONCLUSION The Half Trend HeikinAshi indicator is a solid tool for tracking trends and measuring their strength. By combining the usual half-trend signals with Heikin Ashi candles, you get a clearer picture of what’s happening in the market. Whether you're looking to spot potential reversals or just want to measure the strength of a current trend, this indicator gives you plenty of flexibility to do both.
Pine Script® indicator
by BigBeluga
11