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Elaris Smart Scalping IndicatorElaris Smart Scalping Indicator is a non-repainting trend and momentum scalping tool designed to help traders identify higher-quality buy and sell conditions using a structured confluence model. The indicator combines EMA trend direction, RSI momentum, MACD histogram confirmation, volume strength, ATR volatility filtering, optional higher-timeframe bias, and session filtering into a clean signal-scoring system. Signals are confirmed only after candle close, helping reduce intrabar noise and repainting behavior. It also includes visual TP/SL guide levels, trend background shading, buy/sell labels, alert conditions, and a compact dashboard showing trend state, HTF bias, RSI, ATR percentage, volume filter status, and signal score. This tool is designed for scalping and short-term trading analysis across crypto, forex, indices, and other liquid markets. It is not financial advice and should be used with proper risk management and additional market context. Key Features Non-repainting confirmed buy/sell signals EMA-based trend engine with adjustable strictness RSI and MACD momentum confirmation Optional higher-timeframe trend filter Volume and ATR volatility quality filters Optional session filter Signal score system from 0–100 Visual entry, stop loss, TP1, and TP2 guide levels Clean dashboard for live market state Built-in TradingView alert conditions
Chỉ báo Pine Script®
của ElarisGroup
2
Fractional CUSUM Regime Filter [Jamallo]🔹 Intro The Fractional CUSUM Regime Filter is a quantitative trend and volatility channel indicator designed to identify structural market regimes with high stability. Unlike traditional filters that suffer from lag or whipsaw signals, this indicator applies a dual-layered preprocessor combining Lopez de Prado’s Fixed-Window Fractional Differentiation (FFD) with a classic Cumulative Sum (CUSUM) statistical trigger. 🔹 Break down Fractional Differentiation (FFD) : Stationarizes pricing input while retaining long-term historical memory (controlled by the "d" parameter). Classic CUSUM Filter : Accumulates deviations from a rolling baseline relative to current volatility. When cumulative deviation exceeds the threshold multiplier (h), a new regime change is triggered, and the baseline steps dynamically to the new price level. Vol-Adjusted Percentile Bands : Linear interpolation percentiles of price deviation relative to the stepped baseline. The distances are "locked" and only update on CUSUM regime triggers to prevent wobbly bands. 🔹 Visual Guide: Indicator Anatomy Here we have the structure of the indicator, including the CUSUM baseline, the 68% inner percentile band, and the 95% outer percentile band. How to use: Mean Reversion (Pullbacks to the Mean) The channel boundaries represent statistical extremes. When the price is pushed outside the bands, it is mathematically overextended and highly likely to revert back to the CUSUM baseline. Long Setup (Pullbacks in Bullish Trend): During a green CUSUM uptrend, watch for price to pull back to the lower bands ("micro pullback") and enter as it heads back up to the baseline mean. Short Setup (Pullbacks in Bearish Trend): During a red CUSUM downtrend, watch for price to rally into the upper bands ("micro pullback") and enter as it reverts down to the baseline mean. 🔹 How to use: Trend Following & Risk Management The indicator is designed to capture sustained macro trends while providing clear risk parameters. Entering on Breakthroughs : Enter when the BUY/SELL signal flags appear (indicating a new CUSUM regime shift). Stop Loss Placement : Place stop loss orders just below the opposite outer band or below the stepped baseline. Letting Winners Run : Ride the trend as long as the CUSUM baseline maintains its colored regime state (Green for Long, Red for Short). 🔹 Settings Parameters d (0.01 - 0.99) : Differentiation order. Lower values retain more historical memory; higher values approach first-difference. CUSUM Drift & Threshold : Controls baseline sensitivity to regime changes. Percentile Lookback & Targets : Set the statistical width of the inner and outer boundaries.
Chỉ báo Pine Script®
của Jamallo22
Aureon Pressure Lens [JOAT]Aureon Pressure Lens Introduction Aureon Pressure Lens is an open-source pressure oscillator designed to classify directional participation, conviction, and transition states in a separate pane. It blends price impulse, EMA structure, momentum, range location, candle body pressure, and relative volume into one bounded score. The problem it solves is signal quality. A single oscillator can fire during weak, low-participation moves. Aureon Pressure Lens requires pressure, signal-line behavior, relative volume, and component consensus to align before confirmed buy or sell labels appear. Core Concepts 1. Multi-Component Pressure Blend The oscillator uses several independent inputs: impulse from prior price, fast/slow structural slope, normalized momentum, range position, and candle body direction. 2. Tanh Normalization Each component is normalized into a stable bounded range so one volatile input does not dominate the entire reading. pressureScore = f_tanh(pressureBlend * 1.60) * 100.0 signalLine = ta.ema(pressureScore, signalLength) 3. Consensus Filter The confidence reading measures how closely the components agree. A signal must satisfy the minimum conviction threshold before it can print. 4. Relative Volume Participation The script measures current volume against a moving average and uses that reading as a participation gate. The default is permissive enough for broad use while still filtering extremely quiet conditions. Features Separate-pane pressure score: Bounded -100 to +100 directional pressure reading Signal line: Smoothed reference for pressure resets and crossovers Gradient pressure color: Score color transitions between bearish, neutral, and bullish states Pressure cloud: Optional fill between pressure and signal line Confirmed BUY/SELL labels: Closed-bar events filtered by consensus and RVOL Top-right dashboard: State, bias, pressure, signal, RVOL/conviction, and action Alerts: Bullish and bearish confirmed pressure resets Input Parameters Calculation: Core Lookback: Main analysis window for impulse and range context Fast Lens / Slow Lens: EMA structure lengths Signal Lens: Smoothing length for the signal line Pressure Sensitivity: Normalization intensity Min Relative Volume: Participation gate for labels Min Conviction: Minimum component agreement required for labels How to Use This Indicator Step 1: Read the pressure score relative to zero. Step 2: Use the cloud and signal line to identify pressure resets. Step 3: Check dashboard conviction and RVOL before acting on labels. Step 4: Combine with an overlay structure or regime tool for full chart context. Indicator Limitations The oscillator measures current pressure, not future price direction Relative volume can behave differently on symbols with limited volume data Choppy markets can create repeated signal-line crosses Confirmed labels appear only after the bar closes Originality Statement Aureon Pressure Lens is original because it combines impulse, structure, momentum, range position, candle body pressure, relative volume, and component consensus into a single closed-bar pressure engine with a dedicated dashboard. It does not copy third-party source code. Disclaimer This open-source indicator is for educational and informational purposes only. It is not financial advice. Markets can change quickly, and no pressure reading guarantees a future move. Use risk controls and independent analysis. -Made with passion by jackofalltrades
Chỉ báo Pine Script®
của officialjackofalltrades
XAUUSD ACN Trend [MatsukazeAlgo]🇬🇧 ENGLISH A Gold-optimized version of the Adaptive Coral Noise (ACN) Trend. The Coral line adapts its colour by trend direction, and the volatility zone separates genuine trends from noise. This version adds session awareness — Asia uses a longer momentum chain to smooth out whipsaws, while London and NY use the standard chain for faster responsiveness. DXY alignment and psychological level confluence complete the Gold-specific layer. Concepts Coral Trend — A smooth exponential moving average that stays closer to price than a standard EMA and changes colour with trend direction. It is visually clean and easy to read: teal means bullish, rose means bearish, grey means uncertain. Volatility Zone — Two standard deviation bands surround the Coral line, creating a noise zone. When price is above the upper band, the trend is confirmed bullish. When price is below the lower band, it is confirmed bearish. When price is inside the zone, the market is in chop — signals are suppressed. Momentum Chain — Instead of a single Coral value, the indicator calculates multiple Coral versions at progressively longer lengths, then averages them. This averaging reduces the impact of individual noisy bars and produces a more stable trend line without excessive lag. Session-Adaptive Chain — On Gold, Asia session price movement is dominated by thin liquidity and stop runs. A short momentum chain that reacts quickly produces too many false flips during Asian hours. This version automatically switches to a longer chain during Asia (default: 5) and returns to the standard chain for London and NY (default: 3). The result is a smoother, more reliable Coral line during Asian hours without changing any settings manually. Psychological Level Noise Threshold — Gold respects $50 and $100 round numbers as institutional order clusters. When price is near one of these levels, the indicator automatically tightens the noise threshold (reduces it by 30%). This makes the trend line more sensitive to reversals at round numbers, where real institutional activity is more likely. How It Works 1. Coral Calculation: WMA → EMA for the base coral. The momentum chain adds stdev-scaled variations at progressively longer lookback periods and averages them. 2. Session Detection: Asia session activates the longer chain. London/NY use the standard chain. Daily+ timeframes bypass session logic entirely. 3. Volatility Zones: Upper and lower bands at ±(stdev × threshold) from the Coral centre. Near psychological levels, the threshold tightens automatically. 4. Trend State: price > upper band = bull. price < lower band = bear. between bands = chop (red background). 5. Signals: crossover + above upper band = bullish signal. crossunder + below lower band = bearish signal. Both filtered by session toggle and DXY direction. 6. Psych Confluence: signal near $50/$100 = gold-coloured, larger marker. Gold-Specific Features Session-Adaptive Chain — Asia: longer chain (default 5) for smoother line. London/NY: standard chain (default 3). Configurable from settings. Intraday only — Daily+ charts bypass this. DXY Alignment — Bullish signals only when DXY is below its daily open (USD weakening = Gold bullish macro). Bearish signals only when DXY is above its daily open. Configurable ON/OFF. Psychological Level Confluence — When a signal fires near a $50 or $100 round number, the marker is gold-coloured and one size larger. The noise threshold also tightens near these levels, making the trend line more responsive to institutional activity at round numbers. Session Signal Filter — Individual ON/OFF toggles for Asia, London, and NY signals. London only is the default — the highest-quality session for Gold trend signals. Noise Background — A subtle red background appears when the noise level (price distance from Coral relative to stdev) exceeds the threshold. Visual cue to reduce exposure in choppy conditions. Alerts 3 alert types: Bullish Signal, Bearish Signal, Psych Confluence. Input Reference Coral Settings — Base Length: Coral period (default 20). Noise Sensitivity: volatility scaling factor (default 0.3, higher = wider bands). Chain Count: momentum chain depth for standard sessions (default 3). Risk/Noise Threshold: how far price must be from Coral to confirm trend (default 0.6). Show Volatility Zones (default OFF). Show Coral Line (default OFF). Show Signals (default ON). Gold Settings — Session-Adaptive Chain (default ON) with Asia Chain Count (default 5). DXY Alignment (default ON). Psych Confluence $50/$100 (default ON) with Confluence Colour. Session Filter — Asia (default OFF), London (default ON), NY (default OFF). Stats Table — Show Table (default OFF), Position, Size, Text/Title Colour. Displays: trend state, active session with chain count, Bull/Bear signal count, psych confluence count, DXY direction. Alerts — Individual toggles for Bullish, Bearish, and Psych Confluence alerts. Conclusion XAUUSD ACN Trend adapts the Coral Trend to Gold's session structure. The longer Asia chain reduces false signals during thin-liquidity hours. The London-only default keeps the chart clean with only the highest-quality signals visible. The volatility zone separates genuine trends from noise — when price is inside the zone, the background turns red and signals are suppressed. Psychological level confluence and DXY alignment add institutional context to every signal. --- Based on Adaptive Coral Noise (ACN) Trend by gokturk80 . This version adds session-adaptive momentum chain, session signal filter, DXY alignment, psychological level confluence, noise threshold tightening near round numbers, and MatsukazeAlgo colour palette. --- 🇯🇵 日本語 Adaptive Coral Noise (ACN) TrendのGold最適化版です。Coralラインはトレンド方向で色が変わり、ボラティリティゾーンが本物のトレンドとノイズを分離します。東京セッションは長いモメンタムチェーンでウィップソーを軽減、ロンドン・NYは標準チェーンで高速応答。DXYアライメントと心理的価格帯合流がGold専用レイヤーを完成させます。 コンセプト コーラルトレンド — 標準EMAより価格に近く追従するスムーズな指数移動平均。トレンド方向で色が変わります。ティール=強気、ローズ=弱気、グレー=不確実。 ボラティリティゾーン — Coralラインを中心とした標準偏差バンド。価格が上バンドより上=強気確認、下バンドより下=弱気確認、ゾーン内=チョップ（ノイズ）。 モメンタムチェーン — 単一のCoralではなく、段階的に長くした複数のCoralを平均化。ノイズの多いバーの影響を軽減し、過剰なラグなしに安定したトレンドラインを生成。 セッション適応チェーン — Goldの東京セッションは薄商いとストップ狩りが支配的。短いチェーンは偽の反転を多発させる。このバージョンは東京中に長いチェーン（デフォルト:5）に自動切り替え、ロンドン/NYは標準チェーン（デフォルト:3）に戻します。 心理的価格帯ノイズ閾値 — $50/$100付近では閾値を30%自動縮小。機関投資家の活動が多いラウンドナンバーでの転換により敏感に。 ゴールド専用機能 セッション適応チェーン — 東京：長いチェーン（デフォルト5）でスムーズなライン。ロンドン/NY：標準チェーン（デフォルト3）で速い応答。日足以上はセッションロジックをバイパス。 DXYアライメント — DXYが日足始値を下回る時のみ強気シグナル（USD弱=Goldマクロ強気）。DXYが上回る時のみ弱気シグナル。 心理的価格帯合流 — $50/$100付近でシグナルが発火するとゴールド色の大きめマーカー。閾値も自動縮小。 セッションシグナルフィルター — Asia/London/NYの個別ON/OFF。デフォルトはロンドンのみON（Goldトレンドシグナルの最高品質セッション）。 ノイズ背景 — ノイズレベルが閾値を超えると赤い背景。チョップ状態のビジュアル警告。 入力パラメータ コーラル設定 — 基準長（デフォルト20）、ノイズ感度（デフォルト0.3）、チェーン数（デフォルト3）、リスク/ノイズ閾値（デフォルト0.6）、ゾーン表示（デフォルトOFF）、コーラルライン表示（デフォルトOFF）、シグナル表示（デフォルトON）。 ゴールド設定 — セッション適応チェーン（デフォルトON）、東京チェーン数（デフォルト5）、DXYアライメント（デフォルトON）、心理的合流（デフォルトON）。 セッションフィルター — 東京（デフォルトOFF）、ロンドン（デフォルトON）、NY（デフォルトOFF）。 統計テーブル — テーブル表示（デフォルトOFF）、位置、サイズ、文字色。トレンド状態、セッション+チェーン数、Bull/Bearカウント、心理的合流数、DXY方向を表示。 まとめ XAUUSD ACN TrendはコーラルトレンドをGoldのセッション構造に適応させます。長い東京チェーンが薄流動性時間帯の偽シグナルを軽減。ロンドンのみのデフォルトが最高品質のシグナルだけをチャートに表示。ボラティリティゾーンが本物のトレンドとノイズを分離 — 価格がゾーン内にある時は背景が赤くなりシグナルが抑制されます。心理的価格帯合流とDXYアライメントが全シグナルに機関投資家の文脈を加えます。 --- Based on Adaptive Coral Noise (ACN) Trend by gokturk80 . セッション適応モメンタムチェーン、セッションシグナルフィルター、DXYアライメント、心理的価格帯合流、ラウンドナンバー付近のノイズ閾値縮小、MatsukazeAlgoカラーパレットを追加。
Chỉ báo Pine Script®
của MatsukazeAlgo
2
Covenant Regime Atlas [JOAT]Covenant Regime Atlas Introduction Covenant Regime Atlas is an open-source Pine Script v6 market-regime indicator built to classify directional state through trend, expansion, persistence, and retest quality. Its purpose is not to predict the next trade by itself, but to create a durable bias layer that tells the trader whether the market is developing a bullish regime, a bearish regime, or a maturing directional environment worth respecting. The problem this script solves is context instability. Many traders can spot a moving-average crossover or a burst in ATR, but that alone does not answer whether the regime is actually mature, whether momentum has real separation, or whether recent retests are behaving consistently with the dominant trend. Covenant Regime Atlas addresses this by blending multiple regime components into one overlay and dashboard. The script uses a dual-mid framework derived from EMA and HMA references, ATR-scaled cloud and envelope bands, persistence measurement, heat normalization, slope impulse, and retest memory. This lets it move beyond a simple bullish-versus-bearish cross and instead describe whether the regime is developing, mature, expanding efficiently, or internally cooling. The result is an indicator for traders who want a cleaner read of bias before interpreting any trigger tool. It is especially useful as a regime filter for execution indicators and strategies that should behave differently in mature directional flow versus unstable transition periods. Core Concepts 1. Directional Mid Versus Structural Mid The script creates a fast directional midpoint and a slower structural midpoint using blended EMA and HMA references. The spread between those two curves forms the backbone of regime direction. float directionalMid = math.avg(emaFast, hmaFast) float structuralMid = math.avg(emaSlow, hmaSlow) bool trendBull = directionalMid > structuralMid This gives the regime engine more shape than a single moving average crossover. The directional mid measures active flow. The structural mid measures slower context. 2. Regime Strength Through Separation And Heat Regime strength is calculated from ATR-normalized spread plus the distance of normalized heat from its midpoint. In other words, the regime is strongest when the fast and slow structures are well separated and price is also positioned decisively within its recent range. This helps avoid overvaluing tiny directional crosses that occur with little actual separation or energy. 3. Persistence And Maturity Every regime needs time to prove itself. The script counts how long the current directional condition has been intact and compares that against a user-defined persistence floor. Once the threshold is met, the regime is treated as mature rather than merely developing. This matters because a fresh directional flip is different from a directional condition that has held for many bars and survived multiple retest opportunities. 4. Retest Memory After a mature regime forms, the indicator watches for controlled retests of the directional midpoint. Bull retests occur when price revisits the midline from above and closes back above it. Bear retests use the opposite condition. The last retest is stored as a dotted line and extended forward until it becomes irrelevant. This gives the trader a simple memory of where the market most recently confirmed trend participation. 5. Pulse, Expansion, And Efficiency The script also measures volatility expansion, slope impulse, heat drift, trend separation percentage, and directional travel efficiency. These metrics allow the dashboard to distinguish between a mature regime that is expanding forcefully and one that is mature but internally cooling or grinding. Features Bull and bear regime classification: Uses fast-versus-slow blended midpoints to define directional control Maturity logic: Distinguishes developing regimes from mature ones using persistence counting ATR-scaled cloud and envelope: Frames the current directional corridor directly on the chart Retest memory engine: Stores the latest mature-regime retest level for forward reference Initiation band: Preserves the regime start envelope so traders can judge distance from the original launch zone Pulse ribbon: Adds a compact visual band around price to reflect internal heat conditions Regime backdrop shading: Tints the chart according to the active directional state Detailed dashboard: Displays strength, heat, persistence, expansion, slope pulse, retest distance, maturity, efficiency, and more Confirmed-bar alerts: Includes mature bias, retest, expansion, continuation, efficient trend, and heat-reset conditions Data-window outputs: Exposes regime internals for systematic reading or comparison Visual Elements Directional cloud: The gap between the fast and slow regime mids shows whether the market is operating with clean separation Envelope bands: ATR-based boundaries help frame the active directional corridor around price Initiation band: The regime launch area stays visible so users can measure how far the trend has traveled from origin Retest line memory: The latest confirmed retest is preserved as a direct chart reference Backdrop and pulse ribbon: Context shading and the pulse band make regime character readable without overloading the chart Best Practices Treat mature regimes differently from developing ones because the same trigger can behave very differently in each state Watch heat drift when a regime remains mature but starts losing internal energy Use retest memory to frame participation zones rather than chasing every extension away from the midline Give more weight to regimes that show both persistence and expansion instead of one without the other Use the atlas as a context engine first and an alert source second Input Parameters Trend Engine: Fast Length: Sets the faster directional reference Slow Length: Sets the slower structural reference Heat Window: Defines the range-normalization window for heat calculations ATR Length: Controls volatility normalization Cloud Width Factor: Sets the width of the directional cloud and envelope Retest Engine: Show Retest Memory: Toggles retest storage and line rendering Retest Cooldown Bars: Prevents retests from firing too frequently Persistence Floor: Sets how many bars are required before a regime is considered mature Show Initiation Band: Displays the preserved start range of the current regime Maturity Window: Controls maturity scaling and travel-efficiency measurements Display: Show Dashboard toggle Show Regime Backdrop toggle Show Pulse Ribbon toggle Independent bull, bear, neutral, and panel colors How to Use This Indicator Step 1: Read Regime Tag And Strength Begin with the dashboard’s regime tag. It tells you whether the market is bullish or bearish and whether that state is still developing or already mature. Pair that with the strength reading to avoid confusing a weak directional bias with a strong one. Step 2: Check Persistence And Expansion Persistence tells you how long the regime has survived. Expansion tells you whether volatility is supporting the move. A mature regime with positive expansion usually deserves more respect than a new regime with weak expansion. Step 3: Use Retest Memory As A Structural Anchor When the retest line is present, it marks the last meaningful participation check inside the trend. That line can help frame whether the current move is still building from a healthy base or drifting too far away from supportive structure. Step 4: Watch Heat Drift And Efficiency Heat drift helps show whether the regime is internally warming or cooling. Efficiency tells you whether directional travel has been orderly. These readings are helpful when deciding whether the trend still looks clean or is becoming unstable. Step 5: Use It As The Bias Layer For Other Tools Covenant Regime Atlas is best used as a bias filter. It helps define whether you should be thinking continuation, pullback participation, or caution. Pair it with your own trigger logic rather than using the regime alone as a full trading plan. Indicator Limitations A developing regime can fail before reaching maturity, especially in choppy markets Retest memory is useful for context, but the stored retest level is not guaranteed to hold on future tests Efficiency and heat drift are descriptive metrics, not predictive guarantees of continuation The indicator can still classify a directional state during periods where execution conditions are poor for actual trading Originality Statement Covenant Regime Atlas is original in the way it blends trend separation, maturity, retest memory, expansion, and efficiency into a unified regime overlay. It is not just a moving-average cloud with added cosmetics: It separates directional identity from maturity, allowing the user to distinguish developing and established regimes It stores retest memory as a living structural feature instead of relying only on static crossover logic It combines heat, slope, expansion, and efficiency into one dashboard so regime quality can be judged from multiple dimensions It preserves the initiation band of the current regime, which gives context that typical trend overlays do not maintain 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. Regime readings describe current market structure and internal state based on historical prices. They do not guarantee future movement or profitable trading decisions. Always use independent judgment and proper risk management. -Made with passion by jackofalltrades
Chỉ báo Pine Script®
của officialjackofalltrades
Volatility Percentile [EXCAVO]ATR Percentile Rank with Four-State Volatility Classification and Trend Detection The Volatility Percentile measures where the current Average True Range stands relative to its own history using a percentile rank. Rather than comparing ATR to a fixed threshold, the indicator continuously evaluates whether current volatility is low, normal, elevated, or extreme relative to the recent distribution - adapting automatically to each instrument and timeframe. This is not a basic ATR display. The percentile rank provides a normalized, context-aware measure of volatility that remains comparable across assets, timeframes, and market cycles. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ HOW TO USE Step 1 → Add the indicator to a new pane. The histogram appears immediately, colored by the current volatility state (blue, gray, orange, or red). Step 2 → Read the state from the histogram color and dashboard. Blue = Low, Gray = Normal, Orange = Elevated, Red = Extreme. Step 3 → Note the percentile value. Above 80% indicates the current ATR is in the top 20% of its historical range - unusually wide price swings. Below 25% indicates unusually quiet conditions. Step 4 → Check the Vol Trend row in the dashboard. RISING means the ATR is accelerating above its 20-bar average. FALLING means it is contracting. Step 5 → Set up state-change alerts to receive notifications when volatility transitions between states on bar close. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ HOW IT CALCULATES ◆ ATR Percentile Rank The indicator computes ATR(length) on each bar, then applies ta.percentrank() over the lookback period. The percentile rank answers: "Out of the last N bars, what percentage had an ATR lower than today's?" A result of 80 means 80% of recent bars had a smaller ATR - current volatility is in the top 20% historically. The rank always falls between 0 and 100, making it directly comparable across instruments. ◆ Smoothing The raw percentile rank is passed through a simple moving average of configurable length (default 3 bars). This suppresses single-bar spikes that would otherwise cause false state transitions. The smoothed value is used for both the histogram display and state classification. Setting smoothing to 1 disables it entirely. ◆ Four-State Classification The smoothed percentile is compared against three configurable thresholds to assign one of four states: Low (below 25th percentile), Normal (25th to 60th), Elevated (60th to 80th), or Extreme (above 80th). State boundaries are user-adjustable, allowing calibration for instruments that spend more time at elevated volatility levels (such as crypto) versus lower-volatility markets. ◆ Volatility Trend A secondary calculation compares the current ATR to its 20-bar simple moving average. ATR above 105% of the SMA is classified as RISING. ATR below 95% of the SMA is classified as FALLING. Between those bands the trend is STABLE. This early-warning layer detects momentum in volatility before a state boundary is crossed. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ WHAT MAKES IT DIFFERENT ◆ Percentile Rank vs Fixed Threshold A fixed ATR threshold (e.g., "ATR > 500 = high volatility") fails when applied across different instruments or timeframes. The percentile approach self-calibrates: the same indicator works on BTCUSD hourly and EURUSD daily without parameter changes, because it measures volatility relative to the instrument's own recent history. ◆ Four States Instead of Two Most volatility filters use a binary high/low split. Separating Normal from Elevated and Extreme provides more granular awareness: Elevated volatility may still be tradable, while Extreme conditions warrant a different approach to position sizing. The four-state model also makes transitions visible earlier - Elevated appears before Extreme is reached. ◆ Volatility Trend Detection The Vol Trend layer detects whether ATR is currently accelerating or decelerating, independently of which state it is in. It is possible to be in Normal state with RISING trend (volatility building) or in Elevated state with FALLING trend (volatility contracting back toward normal). This combination is visible only in the dashboard and is not represented by the histogram color alone. ◆ ATR / Price Ratio The dashboard shows ATR expressed as a percentage of the current close price. This normalized measure is directly comparable across instruments and useful for estimating stop distance relative to price without manual calculation. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ DASHBOARD Real-time panel showing current volatility conditions: State - active volatility state (LOW / NORMAL / ELEVATED / EXTREME), colored by type Percentile - current smoothed ATR percentile rank (0-100%) ATR - raw ATR value in price units for the current bar ATR / Price - ATR expressed as a percentage of close price Vol Trend - volatility momentum (RISING / FALLING / STABLE) vs 20-bar ATR average Lookback - active lookback period used for percentile calculation Legend table (bottom left) explains histogram colors and boundary lines. Both panels toggle in Dashboard settings. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ SETTINGS Engine ATR Length - 14 bars (period for Average True Range calculation) Lookback Period - 200 bars (history window for percentile rank) Smoothing - 3 bars (applied to raw percentile; 1 = no smoothing) State Thresholds Low / Normal - 25 (percentile boundary between Low and Normal states) Normal / Elevated - 60 (percentile boundary between Normal and Elevated states) Elevated / Extreme - 80 (percentile boundary between Elevated and Extreme states) Visualization Low Vol Color - default blue Extreme Vol Color - default red Elevated Vol Color - default orange Show State Ribbon - OFF (colored markers at pane bottom) Background Highlight - ON (subtle tint matching active state) Alerts JSON Alerts - OFF (enable for bot integration) Dashboard Dashboard Position - Top Right Show Dashboard - ON Show Legend - ON ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ ALERTS Extreme Volatility - state transitioned to Extreme on bar close Elevated Volatility - state transitioned to Elevated on bar close Normal Volatility - state transitioned to Normal on bar close Low Volatility - state transitioned to Low on bar close Volatility State Change - any state transition detected on bar close ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Best regards, EXCAVO Disclaimer Trading involves significant risk. This indicator is a technical analysis tool and does not constitute financial advice, investment recommendations, or a guarantee of future results. Past indicator behavior does not guarantee future performance. Always use proper risk management and your own judgment.
Chỉ báo Pine Script®
của EXCAVO
1
Helix Trend Ensemble [JOAT]Helix Trend Ensemble Introduction Helix Trend Ensemble is an open-source trend overlay built around a three-member weighted ensemble. Instead of relying on one moving average or one crossover, Helix evaluates multiple configurable members, normalizes slope behavior, and produces a consensus trend state only when enough internal agreement is present. The problem Helix solves is false certainty. Single-line trend tools are easy to read but easy to break. Multi-line tools often create clutter without resolving disagreement. Helix is designed to preserve a clean chart while still exposing the quality of alignment between fast, intermediate, and structural trend engines. Core Concepts 1. Multi-Member Trend Architecture Three independent members can each use different MA types, smoothing methods, lengths, and weights. This allows the ensemble to mix responsiveness with structural stability. 2. Weighted Consensus The final state is not a simple majority vote. Each member contributes according to its configured weight, and the ensemble requires sufficient agreement before it promotes a directional state. 3. Slope Normalization Raw slope values are normalized so the dashboard can express trend energy in a stable way across different length combinations. 4. Filter Layer ATR and ADX filters help suppress weak trend states and reduce low-quality directional transitions. 5. Confirmed Regime Transitions Directional state changes are only recognized on confirmed bars, which keeps the ensemble consistent with real-time use. Features Three fully configurable members: Each member supports multiple MA and smoothing combinations Weighted consensus engine: Final state depends on internal agreement quality, not one crossover Normalized slope score: Slope behavior is translated into a stable strength readout Ribbon and cloud system: Trend geometry is expressed through layered fills instead of cluttered markers Optional candle coloring: Price bars can reflect the ensemble state without altering logic Top-right dashboard: Regime, consensus, strength, slope, agreement, filters, and last flip are summarized continuously How to Use This Indicator Step 1: Read regime and consensus together A bullish or bearish state is more meaningful when consensus is high and filters are passing. Step 2: Watch slope and strength An aligned ensemble with weakening slope often signals late-trend conditions rather than fresh expansion. Step 3: Use Helix as a bias filter Helix works well as a directional framework for execution models that need a clean trend gate. Indicator Limitations Longer member lengths will intentionally delay reversals High responsiveness settings can increase whipsaws Consensus does not eliminate all false trends; it only improves structural filtering The script is a trend-classification tool, not a full strategy Originality Statement Helix Trend Ensemble is original in the way it combines configurable member diversity, weighted consensus, slope normalization, and clean institutional visualization into one open-source trend framework. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Trend-state tools can fail during rapid reversals, compressed markets, or structurally irregular conditions. Use proper risk control at all times.
Chỉ báo Pine Script®
của officialjackofalltrades
Delta Pressure Ledger [JOAT]Delta Pressure Ledger Introduction Delta Pressure Ledger is an open-source lower-pane pressure model built entirely from chart-derived proxies. It combines anchored VWAP context, candle pressure, volume impulse, crowding stretch, volatility pressure, and settlement skew into a normalized composite ledger that classifies whether pressure is balanced, directional, crowded, or stressed. The problem this script solves is hidden market pressure. Many traders rely on unavailable data feeds or vendor-only metrics to estimate crowding or liquidation risk. Delta Pressure Ledger uses only chart-accessible inputs and standardizes them through z-score normalization so pressure states can still be read in a consistent way across instruments. Core Concepts 1. Chart-Derived Pressure Proxy The script estimates directional pressure from candle settlement, intrabar range occupation, and volume impulse rather than external order flow feeds. 2. Anchored VWAP Context Pressure is interpreted relative to anchored value, allowing the user to distinguish directional expansion from overstretched crowding. 3. Z-Score Normalization All sub-engines are normalized over a configurable lookback, which makes the composite reading more portable across symbols and timeframes. 4. Crowding and Stress Logic The script tracks when price and derived sentiment become stretched enough to imply elevated liquidation or unwind risk. 5. Composite Verdict Pressure, crowding, volatility, and skew are merged into one verdict state so the user can quickly determine whether the market is orderly, imbalanced, or stressed. Features Anchored VWAP context: Session, weekly, or monthly value anchor Pressure engine: Candle and volume-derived directional pressure model Crowding engine: Stretch and behavioral excess detection Volatility and skew layers: Pressure quality and instability are separated from raw direction Normalized composite score: All sub-engines standardized into one comparable ledger Risk meter: Liquidation-style stress estimate derived from crowding and instability Confirmed-bar transitions: State changes and alerts are held to confirmed bars Top-right dashboard: Regime, pressure, crowding, volatility, risk, composite score, and last confirmed flip How to Use This Indicator Step 1: Read the composite verdict The verdict gives the fastest summary of whether the market is balanced, directionally pressured, or entering a crowded stress state. Step 2: Separate pressure from crowding A bullish pressure reading with low crowding is different from a bullish pressure reading with extreme crowding and high risk. Step 3: Respect risk transitions When the risk meter moves into elevated territory, directional continuation setups deserve more caution. Indicator Limitations This script uses chart-derived proxies rather than exchange-level liquidation or true open-interest feeds Normalized readings can still behave differently across asset classes with unusual volume structure Stress conditions can remain elevated for extended periods during strong trends The script classifies pressure and risk context; it does not execute trades by itself Originality Statement Delta Pressure Ledger is original in the way it builds a portable, chart-derived pressure and crowding framework without depending on unavailable external feeds, while still organizing the result into a normalized composite and risk ledger. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Derived pressure and crowding models can be wrong, especially during atypical market events. Use proper risk management and independent judgment.
Chỉ báo Pine Script®
của officialjackofalltrades
Parabolic SAR Flip Quality [AGPro Series]Parabolic SAR Flip Quality 🧠 Core Idea Is this Parabolic SAR flip strong enough to plan around, or is it just another noisy stop-and-reverse signal? 📌 Overview / What it does Parabolic SAR Flip Quality is a planner-style Parabolic SAR overlay built to evaluate PSAR flip conditions as trade-decision context, not as simple directional signals. The script keeps the classic Parabolic SAR dot trail visible, then adds a professional quality model that measures flip strength, trend alignment, SAR distance, candle efficiency, volatility expansion, and prior-leg maturity. The result is a clear 0-100 readiness score that helps traders judge whether the current PSAR flip environment is valid, weak, developing, or blocked. It produces qualified flip labels, SAR dots, a SAR-native protection band, and a compact AGPro panel showing Flip Side, SAR Distance, Trend Filter, and Quality Score. It does not automate trades, predict future price, or tell users what to buy or sell. It organizes PSAR flip context into a cleaner decision framework. 🎯 Purpose & Design Philosophy Most Parabolic SAR tools show where the SAR dots are and where the stop-and-reverse event happened. That is useful, but it often leaves the trader with the harder question: is this flip actually good enough to act on, monitor, or ignore? This script was built to fill that gap. It turns a classic indicator into a structured decision engine by asking whether the flip has enough distance, trend support, expansion, and maturity behind it. The design supports traders who want cleaner execution readiness, not more noise. It is built for chart readers who want to evaluate setup quality, risk area, invalidation context, and next-action state before making their own decision. ⚡ Why This Script Is Different Most tools focus on printing every Parabolic SAR flip as if all flips have similar meaning. This script does NOT treat a dot-side change as a complete setup. It also does not turn PSAR into a generic signal board or a generic support/resistance zone map. Instead, it evaluates the flip as a planning event. The script scores the quality of the transition, checks whether trend conditions support the new side, measures how far price is from the SAR reference, and projects a SAR Protection Band that represents the stop-defense area created by the qualified flip. The difference is the decision layer: • Is the flip valid? • How strong is it? • Where is the SAR-based invalidation area? • Is the trend filter helping or blocking the setup? • What is the current read now? ⚙️ Methodology 1. Context Detection The script detects whether price is currently operating on the bullish or bearish side of the Parabolic SAR. It also tracks raw SAR flips and measures how mature the prior SAR leg was before the transition. 2. Reference Mapping The active SAR value becomes the primary reference point. Distance from SAR is normalized by ATR so the read adapts across symbols and timeframes. 3. Reaction Evaluation Each flip is evaluated through a multi-factor quality model: • SAR distance versus ATR • EMA trend alignment • EMA slope direction • DMI directional agreement • ADX trend strength • Candle body efficiency • Range expansion • Prior-leg maturity These conditions are combined into a 0-100 Quality Score. 4. Visual Output When a flip passes the quality threshold, trend filter, SAR distance requirement, confirmation setting, and cooldown control, the script promotes it into a qualified chart label. It can also draw a SAR Protection Band around the flip's SAR reference for forward context. 🗺️ How to Read the Chart SAR dots show the classic Parabolic SAR trail. Bullish dots appear below price, and bearish dots appear above price. Qualified flip labels mark PSAR flips that passed the quality and trend conditions. The label includes the flip side and the quality score, allowing quick comparison between stronger and weaker transitions. The SAR Protection Band represents the PSAR-based stop-defense area created after a qualified flip. It is not a generic support/resistance zone. It is a SAR-native invalidation and planning reference. Colors follow the AGPro visual language: • Teal = bullish side or bullish qualified flip • Pink = bearish side or bearish qualified flip • Gold = neutral, blocked, or caution state • Indigo = trend backbone reference The panel summarizes the active read: • Flip Side • SAR Distance • Trend Filter • Quality Score 🚦 Signals & States • Bullish Flip → A qualified PSAR transition to the bullish side. • Bearish Flip → A qualified PSAR transition to the bearish side. • Trend Filter PASS → The broader trend filter agrees with the current SAR side. • Trend Filter BLOCKED → The SAR side is active, but the broader trend filter does not fully support it. • High Quality Score → The flip has stronger alignment across distance, trend, expansion, efficiency, and maturity. • WAIT Grade → The current condition does not meet the preferred readiness profile. These are analytical states, not trade instructions. 🔔 Alerts Logic Alerts trigger only when a qualified bullish or bearish PSAR flip is confirmed by the script's quality rules. • Qualified Bullish PSAR Flip → A bullish SAR flip passed the trend filter, quality threshold, SAR distance threshold, cooldown rule, and confirmation setting. • Qualified Bearish PSAR Flip → A bearish SAR flip passed the trend filter, quality threshold, SAR distance threshold, cooldown rule, and confirmation setting. Alerts are attention markers. They are not automated trading instructions and do not guarantee future movement. 🧩 Confluence Logic The strongest context appears when several conditions align at the same time: • PSAR flips to a new side • Price has enough ATR-normalized distance from SAR • EMA trend direction supports the flip • DMI confirms directional pressure • ADX shows enough trend strength • Candle structure shows real expansion • The previous SAR leg was mature enough When these elements align, the flip becomes more useful as a planning reference. 📊 When to Use This script is best suited for: • Trending markets where SAR transitions can develop into continuation phases • Swing-trading review on higher timeframes • Crypto, forex, stocks, indices, and commodities with enough liquidity • PSAR users who want a readiness score instead of raw dot flips • Traders who want a cleaner invalidation reference around qualified SAR flips • Multi-timeframe analysis where the user wants to compare flip quality across chart periods ⚠️ When NOT to Use This script is less useful in: • Very low-liquidity markets • Extremely noisy sideways chop • News-driven spikes where ATR and structure can distort quickly • Ultra-low timeframes with unstable spread or poor execution quality • Markets where price repeatedly flips around the SAR without trend expansion In these conditions, raw PSAR flips and quality labels can become less reliable as planning references. 🎛️ Key Inputs • SAR Start → Controls the initial Parabolic SAR acceleration factor. • SAR Increment → Controls how quickly the SAR acceleration increases as the trend develops. • SAR Maximum → Controls the maximum SAR acceleration level. • Trend EMA Length → Defines the trend backbone used by the filter. • DMI Length and ADX Smoothing → Control directional pressure and trend-strength measurement. • Minimum ADX → Sets the required trend-strength floor. • Minimum Quality Score → Defines how selective qualified flip labels should be. • Minimum SAR Distance ATR → Blocks cramped flips that occur too close to the SAR reference. • Prior Leg Maturity Bars → Requires the prior SAR leg to have enough development before a flip receives full maturity credit. • Flip Cooldown Bars → Controls label density and keeps the chart readable. • SAR Protection Band settings → Control the width, forward projection, and maximum active bands. • Panel and Label Font Size → Adjust visual readability, with Normal as the default. • Panel Location and Theme → Control the AGPro panel placement and appearance. 🖥️ Interface & Visual Design The interface is designed to be premium, compact, and decision-focused. The chart keeps the classic PSAR dots as the main visual anchor. Qualified labels appear only when the flip passes the selected filters. The SAR Protection Band is transparent and restrained so it adds planning context without overwhelming candles. The AGPro panel uses a single merged blue header row with the script name, followed by a clean four-row readout. Its purpose is to summarize the current decision state without turning the chart into a dashboard-heavy layout. 🧪 Practical Usage Workflow 1. Read the panel. Check the active Flip Side, SAR Distance, Trend Filter, and Quality Score. 2. Check the latest qualified label. Compare the quality score with the minimum threshold and with prior labels on the chart. 3. Review the SAR Protection Band. Use the band as a SAR-native planning reference for where the qualified flip should remain structurally defended. 4. Confirm broader context. Compare the flip with trend direction, volatility, market structure, and timeframe behavior. 5. Decide independently. Use the output as structured context, not as an automatic trade command. 🔍 Interpretation Guidelines A strong read usually has a qualified flip label, a passing trend filter, enough SAR distance, and a higher quality grade. A weaker read may show an active SAR side but a blocked trend filter or a low score. This means the SAR state exists, but the planning context is not strong enough under the script's model. The SAR Protection Band should be interpreted as a stop-defense and invalidation reference. If price respects it, the flip context remains cleaner. If price violates it, the qualified flip has lost part of its structural value. The best use of the script is comparison: compare current flip quality against previous flips, across timeframes, and across market conditions. 🚫 What This Script Is NOT This script is not a prediction engine. It is not financial advice. It is not an auto-trading system. It does not guarantee profitable signals. It does not replace independent analysis, position sizing, risk management, or broader market context. ⚠️ Limitations & Transparency Parabolic SAR is a trend-following concept, so it can struggle in choppy or directionless markets. Quality scoring improves structure, but it cannot remove all false transitions. Timeframe selection, volatility regime, liquidity, and market session can affect how signals appear and how useful the SAR Protection Band becomes. The script is rule-based and transparent. It reads current and historical chart data according to the selected inputs. It does not know future price behavior. 🧠 Market Context Notes PSAR flips tend to become more meaningful when they occur with volatility expansion, directional pressure, and enough distance from the SAR reference. In compressed markets, the dots may switch sides more frequently and the score may change quickly. In stronger trends, the SAR dots often create cleaner trailing structure, and qualified flips can become more useful as planning events. The best interpretation comes from combining the panel state, SAR distance, label quality, protection band behavior, and the broader market environment. 🧾 Use Case Examples When price flips bullish, the trend filter passes, SAR distance expands above the minimum threshold, and the quality score is high, the user can treat that area as a cleaner bullish planning context. When price flips bearish but the trend filter is blocked, the script communicates caution. The SAR side changed, but the broader read is not aligned. When price returns to the SAR Protection Band after a qualified flip, the user can monitor whether the band is respected or violated as part of the invalidation read. 🧱 System Philosophy The purpose of this script is not to add another signal to the chart. The purpose is to turn a classic indicator into a decision-support framework: • Setup validity • Quality strength • Trend agreement • Risk reference • Invalidation context • Current action state This is the AGPro direction: tools that help traders make better decisions, not tools that simply decorate the chart with more signals. 🔐 Non-Promise Statement No indicator can provide certainty. This script does not promise future outcomes, guaranteed performance, or risk-free execution. Its role is to organize Parabolic SAR flip context into a clearer analytical structure. 📉 Risk Disclosure Trading involves risk, and market conditions can change quickly. This script is provided for educational and analytical purposes only. It does not provide financial advice, investment advice, or guaranteed trading outcomes. Users are responsible for their own analysis, decisions, risk management, and trading results. 📚 Educational Note Parabolic SAR is one of the most recognized stop-and-reverse indicators because it makes trend state visually simple. This script keeps that visual simplicity while adding a quality and planning layer so users can study which flips deserve more attention and which ones should remain secondary context.
Chỉ báo Pine Script®
của AGProLabs
Choppiness Setup Planner [AGPro Series]Choppiness Setup Planner 🧠 Core Idea Is this choppy market still a no-trade environment, or has it matured into a valid setup with defined risk, invalidation, and targets? 📌 Overview / What it does Choppiness Setup Planner is a planner-style overlay built for one of the most common decision problems in technical analysis: what should a trader do when price is trapped inside a choppy range, but pressure starts building near the edge? The script detects no-trade chop conditions, builds a decision range around the active structure, scores setup quality from 0 to 100, and turns a mature range release into a clear planning map with invalidation and target levels. Instead of only saying "the market is choppy," it answers whether the setup is still avoidable, preparing, weak, valid, active, or invalidated. The cleanest visual use case is higher-timeframe planning. Weekly and daily charts allow the full range-to-plan lifecycle to breathe: no-trade structure, preparation, release, target, and invalidation can all be read without the chart feeling crowded. It does not automate execution, predict future price, or replace personal trade selection. It is an analytical planner designed to organize context, risk, and next-action state directly on the chart. 🎯 Purpose & Design Philosophy This script was built because many market-state tools show information without helping the user make a decision. A Choppiness Index value, ADX filter, or range box can be useful, but those outputs often stop before the practical question: what now? Choppiness Setup Planner fills that gap by connecting chop detection with a structured planning workflow. It is intended for discretionary traders, breakout traders, and range-to-expansion traders who want to avoid low-quality noise while preparing for stronger releases from mature ranges. The design philosophy is simple: first protect attention, then qualify the setup, then map risk only when the structure deserves it. ⚡ Why This Script Is Different Most tools focus on detecting chop, drawing a box, or marking a breakout. This script does NOT act like a generic signal indicator, generic support/resistance tool, or simple Choppiness Index panel. Instead, it turns a choppy market into a decision sequence: 1. Detect the no-trade environment. 2. Track range age and pressure. 3. Grade setup validity with a 0-100 score. 4. Define the next action state. 5. Map invalidation and targets only after a valid release. That makes the script closer to a decision engine than a visual marker. It is also intentionally separated from manual position planners: users do not enter their own position parameters. The script derives its planning levels from the detected chop range and the release quality model. ⚙️ Methodology 1. Context Detection The engine blends Choppiness Index, directional weakness, path efficiency, range tightness, wick noise, and volatility behavior to determine whether the market is inefficient enough to qualify as a no-trade chop environment. 2. Reference Mapping When chop persists long enough, the script builds a decision range around the active structure. This range is not a generic support/resistance zone; it is a planning container for the current no-trade condition. 3. Reaction Evaluation The script evaluates whether pressure is improving through range age, chop release, ADX lift, path-efficiency improvement, ATR lift, edge pressure, candle body quality, close quality, and optional volume participation. 4. Visual Output The chart displays the no-trade ribbon, decision range box, centered zone label, preparation markers, valid plan markers, weak-release markers, invalidation level, target levels, and a compact AGPro planner panel. 🗺️ How to Read the Chart Zones represent the active no-trade decision range. A centered label inside the box shows whether the structure is still a no-trade zone or has moved into preparation mode. Labels represent state changes. PREP marks a mature range with improving setup quality. PLAN UP and PLAN DN mark valid releases. SKIP marks a release that happened but failed the minimum plan-quality threshold. T1, T2, and INVALID track the active plan lifecycle. Colors follow the AGPro state palette. Teal is used for stronger upside planning states, pink for downside or invalidation states, amber for caution and no-trade states, and indigo for preparation/readiness. The panel shows Setup Quality, Next Action, Chop / Ready, Range Age, Invalidation, and Targets. 🚦 Signals & States • Avoid: Chop → the market is inefficient and still belongs in no-trade mode. • Prepare: Edge Watch → the range has matured and internal readiness is improving. • Skip: Low Quality → price released from the range, but the quality score was not strong enough. • Track Upside Plan → upside release met the minimum valid plan score. • Track Downside Plan → downside release met the minimum valid plan score. • Manage: T1 Reached → the active plan reached its first target level. • Review: T2 Reached → the active plan reached its second target level. • Reset: Invalidated → the active plan crossed its invalidation level. 🔔 Alerts Logic Alerts are available for preparation state, valid upside plan, valid downside plan, weak release, Target 1 reached, Target 2 reached, and invalidation. Each alert is an attention marker. Alerts are not trade instructions, not automation rules, and not execution commands. 🧩 Confluence Logic The setup becomes stronger when a mature chop range aligns with improving readiness, edge pressure, candle body participation, release distance, and optional volume participation. When these components align, the script can convert the release into a valid plan. When price releases without enough score, the script marks the event as SKIP instead of treating every breakout as useful. 📊 When to Use • Choppy markets where the user needs a no-trade filter. • Weekly, daily, and 4H planning where range structure matters more than micro-noise. • Mature ranges that may be preparing for expansion. • Breakout-preparation workflows. • Range-to-trend transition monitoring. • Symbols where invalidation and target structure should be visible before acting. ⚠️ When NOT to Use • Extremely illiquid markets with unreliable candles. • Symbols where volume data is misleading, unless volume participation is disabled. • News-driven spikes where a single candle can distort range logic. • Very low timeframes with excessive spread noise. • Scalping workflows that require rapid-fire signals instead of structural planning. • Markets where the user has no broader context for trend, liquidity, or session behavior. 🎛️ Key Inputs • Choppiness Length → controls the chop-detection backbone. • Decision Range Length → controls how the active no-trade range is framed. • Minimum Range Age → controls how long chop must persist before planning begins. • Preparation Threshold → controls when the range moves from avoid mode to preparation mode. • Minimum Valid Plan Score → controls how selective valid plan labels should be. • Release Buffer ATR → controls how far price must move beyond the range boundary. • Invalidation Buffer ATR → controls the distance behind the released boundary used for invalidation. • Target 1 / Target 2 R Multiples → control target projection from the plan risk. • Panel Location / Theme / Font Size → control the AGPro panel interface. • Label Font Size / Cooldown / Maximum Visible Labels → control chart readability. 🖥️ Interface & Visual Design The interface is designed around fast decision reading. The chart carries the range box, no-trade ribbon, centered zone label, event labels, and active risk/target levels. The panel summarizes the same workflow without becoming a large dashboard. The first panel row follows the AGPro standard: one merged blue header row containing only the script name. Visual density is intentionally moderate. The chart should not look empty, but it should also avoid crowded signal spam. 🧪 Practical Usage Workflow 1. Read the panel. Check Setup Quality and Next Action first. 2. Check the decision range. If the box says NO-TRADE, the structure is still inefficient. If it says PREP, the range is maturing. 3. Evaluate the release. A valid PLAN label means the release met the quality threshold. A SKIP label means the release was not strong enough. 4. Review invalidation and targets. When a plan is active, use the plotted levels to understand structure, not as automatic orders. 5. Confirm broader context. Combine the planner output with trend, liquidity, timeframe, session, and personal execution rules. For publication screenshots, higher-timeframe examples are usually the cleanest because they show the complete planning sequence without compressing labels and boxes into a noisy layout. 🔍 Interpretation Guidelines Think in states, not isolated signals. NO-TRADE protects attention. PREP means the market is becoming more interesting. PLAN means the release has enough structure to track. SKIP means the release happened but did not earn quality. INVALID means the plan lost its structural premise. 🚫 What This Script Is NOT This script is not a prediction engine. It is not financial advice. It is not auto trading. It is not guaranteed signals. It is not a strategy tester. It is not a replacement for independent analysis. ⚠️ Limitations & Transparency The script is rule-based and depends on selected inputs, timeframe, volatility, and available market data. Different symbols and sessions can produce different behavior. Low liquidity, sudden volatility shocks, and abnormal gaps can reduce the usefulness of range-based planning. Volume participation is optional because volume quality differs across markets and feeds. 🧠 Market Context Notes Chop is not always weakness. Sometimes it is absorption, sometimes indecision, and sometimes simple noise. The script does not claim to know the cause. It organizes the observable structure so the user can decide whether the environment is worth attention. 🧾 Use Case Examples When price spends several bars inside a tight inefficient range and the panel says Avoid: Chop, the script is acting as a no-trade filter. When the range matures and the centered label changes to PREP, the script is showing that pressure has improved enough to monitor the edge. When price releases and receives PLAN UP or PLAN DN, the script maps invalidation and targets from the structure. When price releases but receives SKIP, the script is saying the event did not meet the model's quality threshold. On weekly charts, a single valid plan can show the entire decision chain: range maturity, preparation, release, target reaction, and invalidation. This is the strongest showcase environment for the script. 🧱 System Philosophy AGPro tools are built around structured decision support: define the condition, score the quality, map the relevant structure, and keep the chart readable. Choppiness Setup Planner follows that philosophy by turning a noisy no-trade environment into a cleaner decision workflow. 🔐 Non-Promise Statement No script can provide certainty. No score guarantees follow-through. No label guarantees an outcome. 📉 Risk Disclosure Trading involves risk. Market conditions can change quickly, planned setups can fail, and losses can occur. This script is provided for educational and analytical use only. It does not provide financial advice or guaranteed trading outcomes. Users remain responsible for their own analysis, decisions, risk management, and execution. 📚 Educational Note Use this script to study how choppy markets mature, how range releases differ in quality, and how invalidation and target logic can be organized visually before a decision is made.
Chỉ báo Pine Script®
của AGProLabs
Low Volume Pullback Zones [AGPro Series]Low Volume Pullback Zones 🔷 Overview Low Volume Pullback Zones is a trend-continuation overlay built for one very specific market behavior: a trend is already established, price retraces in a controlled way, volume dries up during that retracement, and the market later reclaims a continuation trigger. The default profile is tuned for daily swing charts, where low-volume retracements usually form cleaner structural pockets and the chart has enough space for the boxes to read properly. A 4H Active preset is included for traders who want more frequent mapping, while Custom mode exposes the raw controls. Many pullback tools focus only on price touching a moving average, a SuperTrend line, or a generic support/resistance area. This script is intentionally narrower. It looks for the quieter part of a trend: the moment where participation contracts during a retracement, the pullback stays shallow relative to the prior impulse, and a clean continuation pocket can be mapped with a visible invalidation boundary. The goal is not to mark every trend candle. The goal is to isolate the cleaner pauses inside trend conditions where the pullback behaves like controlled absorption instead of aggressive reversal pressure. 🟩 What The Script Detects The engine combines five layers: 1. Trend Side The script first checks whether the market has a clean bullish or bearish trend profile using EMA alignment, EMA slope, DI direction, and ADX strength. If the trend is flat or mixed, the script avoids mapping low-quality pullbacks. 2. Low RVOL Retracement During a pullback, the script measures relative volume against a rolling volume baseline. A stronger dry-up score means the retracement is happening with lighter participation, which often creates a cleaner continuation context than high-volume countertrend pressure. 3. Shallow Pullback Depth The pullback is measured against the prior impulse reference range. Controlled retracements receive higher scores, while deep retracements move toward failure risk. 4. Continuation Trigger The script waits for price to reclaim beyond the pullback pocket boundary with a small ATR buffer and relative-volume recovery. This prevents the chart from filling with premature pullback labels before the structure actually confirms. 5. Invalidation Boundary Every active dry-up pocket has a structural boundary beyond the deepest pullback extreme. If price breaks that boundary, the pocket is treated as invalid rather than leaving an old setup on the chart. 🟦 Chart Visuals The main visual layer is the Dry-Up Pullback Pocket. When a valid pullback begins, the script draws a compact rectangular pocket around the retracement range. If the pocket confirms, the script projects a tighter functional retest/hold zone instead of extending the entire historical pullback range. This makes the zone easier to use: bullish zones focus on the reclaimed upper pocket area, bearish zones focus on the reclaimed lower pocket area, and the dotted invalidation boundary remains beyond the failed side of the structure. Dry-Up Watch labels can appear before final confirmation when the pullback already has strong volume contraction and acceptable structure. Rejected context boxes are optional and disabled by default because they are diagnostic, not actionable hold zones. Trigger labels remain compact and controlled by cooldown logic. The default behavior keeps the chart active enough to be useful without making it feel crowded or noisy. 🟨 Info Panel The panel summarizes the current state: Trend Side - bullish trend, bearish trend, or no clean trend. Dry-Up Score - how strongly volume contracted inside the active or most recent pocket. Pullback Depth - retracement depth relative to the prior impulse. Trigger State - mapping, triggered, expired, boundary lost, trend lost, or waiting. Failure Risk - a compact risk read based on depth, volume behavior, and pullback duration. The panel location, panel theme, panel font size, and label font size are configurable from settings. The first panel row follows the AGPro Series standard format with a single merged blue header row. 🟪 What Makes This Different This script is not a generic trend meter. It is not a SuperTrend reaction tool. It is not a broad continuation score dashboard. It is not a volume spike or climax detector. Low Volume Pullback Zones is focused on the relationship between trend continuation and volume contraction during the retracement itself. That makes the script different from tools that only measure trend strength, moving-average reclaim, breakout quality, support/resistance reactions, or high-volume pressure events. The core question is: Did the pullback become quiet enough, shallow enough, and controlled enough to justify a mapped continuation pocket? That narrow question is what gives the script its identity. 🧭 How To Read It Bullish dry-up pocket: The trend filter is bullish, price retraces into the EMA lane, average RVOL contracts, depth remains controlled, and price reclaims the upper pocket boundary. Bearish dry-up pocket: The trend filter is bearish, price retraces upward into the EMA lane, average RVOL contracts, depth remains controlled, and price reclaims the lower pocket boundary. Failure risk: Failure risk rises when the pullback becomes too deep, too long, or too active in volume terms. A higher failure risk means the retracement is no longer behaving like a quiet continuation pause. Invalidation boundary: The dotted boundary marks the structural area where the active pocket is no longer considered valid. ⚙ Key Settings Engine Preset: Daily Swing is the default and is designed for cleaner publication-grade structure. 4H Active keeps more frequent lower-timeframe pockets. Custom uses the direct input values. Fast / Mid / Slow EMA Lengths: Control the trend structure used by the pullback engine. Minimum ADX and Minimum EMA Slope: Help the script avoid mapping dry-up pockets in flat conditions. Relative Volume Length: Defines the baseline used to measure volume dry-up. Preferred Pullback RVOL: Controls how quiet the pullback should be to receive full dry-up credit. Preferred Max Depth: Defines the ideal shallow retracement threshold. Trigger Buffer: Adds a small ATR-based confirmation buffer beyond the pullback pocket. Pocket Projection Bars: Controls how far completed pockets extend to the right. Functional Zone Width: Controls how much of the original pullback range is projected after confirmation. Smaller values create a tighter retest/hold pocket; larger values keep more of the original pullback structure. Label Cooldown and Max Structures: Keep the overlay readable and publication-clean. 📌 Best Use This indicator is best used on markets that already show directional structure. It is designed for traders who study trend continuation, relative volume behavior, pullback quality, and invalidation-based chart structure. It can be used across crypto, forex, indices, equities, and commodities, but the most useful results generally appear when the market has enough trend strength for low-volume retracements to matter. 🟧 Design Philosophy Low Volume Pullback Zones was built to keep the chart premium and readable: Clean pocket boxes instead of noisy background clutter. Restrained watch and trigger labels instead of constant marker spam. Visible invalidation boundaries instead of ambiguous zones. Professional RVOL and depth scoring instead of simple moving-average touches. Configurable panel and label sizing for different chart layouts. The script is intentionally selective. Its strongest value comes from filtering out ordinary pullbacks and highlighting the ones where trend, volume dry-up, shallow depth, and continuation confirmation align.
Chỉ báo Pine Script®
của AGProLabs
Trend Quality [AGPro Series]Trend Quality Trend Quality fuses three independent regime dimensions — ADX directional strength, Kaufman Efficiency Ratio, and ATR-normalized EMA slope — into a single 0–100 composite Trend Quality Score. A hysteresis + confirmation + cooldown gate turns that score into a stable TREND / CHOP regime, enhanced with HTF confirmation, lifecycle phases, score velocity, breakout grading, directional dominance, and a full adaptive on-chart quality window. The goal is simple: replace noisy "is this a trend?" guessing with a transparent, multi-dimensional, low-lag quality reading you can read in one glance. 🎯 OVERVIEW Most trend filters fail at the same thing — they tell you a trend exists, but not whether that trend is clean, accelerating, fading, or already exhausted. Trend Quality answers the harder question. Every bar is scored on three independent dimensions that each measure a different physical property of price movement: • ADX — directional strength (how strongly one side dominates) • Kaufman Efficiency Ratio (ER) — path efficiency (how little wasted motion) • ATR-normalized EMA slope — normalized trend velocity (how fast, relative to volatility) These three signals are combined into one 0–100 Trend Quality Score. A hysteresis band + confirmation bars + cooldown filter convert that score into a stable TREND / CHOP regime — no single-bar flipping, no false recovery wicks. On top of the core regime, the indicator layers Score Velocity, Lifecycle phases (Emerging → Confirmed → Exhausting), Breakout Quality grading (A / B / C), directional dominance, and a visual Quality Window that tracks the active trend zone and projects it forward. 💎 UNIQUE EDGE What separates Trend Quality from a standard ADX filter, an EMA slope indicator, or a generic regime meter: • Tri-factor fusion (not a single metric) — ADX alone misses path quality; ER alone misses direction; slope alone misses choppy-but-strong moves. Weighted fusion (45% ADX, 35% ER, 20% Slope) neutralizes each component's blind spot. • Stable regime, not a flickering line — the TREND / CHOP state passes through a 3-layer filter: hysteresis band around the threshold, N confirmation bars, and a cooldown window after every transition. The result is a regime reading that holds through pullbacks without flipping. • Score Velocity Engine — a second-derivative layer that watches how fast the score itself is changing. Surges flag momentum ignition; collapses flag quality breakdown before price confirms it. A bearish divergence detector fires when price makes new highs while quality is fading. • Lifecycle phases — inside every TREND regime, the script distinguishes Emerging (young, fresh, accelerating), Confirmed (mature, stable, above buffer), and Exhausting (score rolling over from a peak). This lets you see whether you are entering early, running mid-trend, or catching the end. • Breakout Quality Badge (A / B / C) — every CHOP → TREND transition receives a graded badge based on composite score plus velocity bonus. Grade A breakouts are rare and have an optional dedicated alert. • HTF confirmation with Auto-HTF mapping — the same engine runs on a higher timeframe. When LTF is trending but HTF is not, the regime is marked BLOCKED (not forced to CHOP) so you retain full transparency about why the regime is gated. • Adaptive Quality Window — a live rectangular zone that tracks the full trend's high/low from its start bar, projects forward, shows ceiling/floor projection labels, and preserves historical windows with directional color coding (green for up-trends, pink for down-trends, amber for HTF-blocked trends). 🧪 METHODOLOGY Core composite score (every bar, LTF): Score = 100 × (0.45 × ADX_norm + 0.35 × ER_norm + 0.20 × Slope_norm) • ADX_norm = min(ADX / 50, 1) • ER_norm = |close − close | / (SMA(|Δclose|, N) × N) • Slope_norm = min(|EMA − EMA | / ATR × 10, 1) Regime gating: • Hysteresis: +3 above threshold to enter TREND, −3 below to enter CHOP • Confirmation: N consecutive bars above/below the hysteresis band • Cooldown: N bars after every regime flip where no new flip is allowed MTF confirmation (optional, default ON): The same core function is called via request.security on the HTF (Auto: 30m→4H, 4H→Daily, Daily→Weekly, Weekly→Monthly in Strict mode). When LTF=TREND but HTF=CHOP, the regime is tagged BLOCKED — a transparent third state that is neither forced-CHOP nor accepted-TREND. Lifecycle logic: • Emerging: TREND is young (bars since start ≤ Emerging Bars) OR score slope ≥ 0 and score below buffer • Confirmed: score ≥ threshold + Confirmed Buffer AND HTF passes (optional) • Exhausting: score slope < 0 AND pullback from peak ≥ Exhaustion Pullback Score velocity: velocity = score − score (default 5-bar look-back) Breakout quality grading: bqScore = score + velocity_bonus (bonus: +15 if vel>15, +7 if vel>5, else 0) A ≥ 82, B ≥ 67, C < 67 🔔 SIGNALS & ALERTS The script exposes 12 alert conditions — all moderator-safe, educational, non-solicitating: • CHOP → TREND / TREND → CHOP regime flips with LTF+HTF context • Strong Trend composite conviction threshold • HTF Blocked / HTF Unblocked third-state transparency events • Emerging / Confirmed / Exhausting Trend lifecycle phase changes • Velocity Surge / Velocity Collapse second-derivative extremes • Grade-A Breakout rare high-conviction breakouts • Bearish Divergence price up, quality down warning On-chart visual events (also filterable via inputs): • Breakout Quality badge (A / B / C) at every CHOP → TREND • Bearish divergence ⚠ marker at trend peaks where quality fades • State tag near backbone: EMERGING / CONFIRMED / EXHAUSTING / HTF BLOCKED • Quality Window label: ACTIVE + phase • Projection labels on the right edge: QUALITY CEILING / TREND FLOOR All badge and warning labels are gated with an 8-bar cooldown so the chart stays clean even on repeated intra-swing triggers. ⚙️ KEY INPUTS Core engine: • ADX Length (14) — directional strength look-back • Efficiency Length (20) — ER path-efficiency window • Slope EMA Length (50) — trend backbone reference • ATR Length (14) — volatility normalization • TREND Threshold (55) — composite score level to enter TREND • Confirmation Bars (1) — bars of persistence before flipping • Strong Trend Offset (15) — extra score above threshold for STRONG tag MTF: • HTF Confirmation (ON) — enable/disable HTF gate • Auto HTF (ON, Strict) — smart HTF mapping per chart TF • Manual HTF (240) — override timeframe Stability: • Change Cooldown Bars (2) — lock-out window after any regime flip Lifecycle: • Emerging Phase Bars (4) — max trend age to stay Emerging • Confirmed Buffer (8.0) — score must clear threshold+buffer • Exhaustion Pullback (4.0) — peak-to-current drop to flag Exhausting Visual Overlay: • Backbone + Glow + Zone + State Candles + Quality Window + Historical Windows + Projection Box + Guides + Midline (all toggleable) Panel, Theme, Layout, Help rows, Alerts, Score Velocity Engine, Breakout Quality Badge, Divergence Detector — every layer has its own input group and can be shown/hidden independently. 📘 HOW TO USE Read-in-one-glance panel (standard AGPro format): • Blue header row: script title • Line 2: REGIME / LIFECYCLE · Score N/100 · Velocity state • Line 3: LTF regime · Direction · Directional Dominance • Line 4: HTF regime · MTF PASS/BLOCKED · Active Window state · Streak Quick playbook: 1. CHOP on LTF → wait. No setup, no commitment. 2. CHOP → TREND transition with Grade A badge + HTF PASS → highest-conviction regime start. 3. CONFIRMED phase with DOM HIGH and rising score → the middle of the trend, usually the cleanest section. 4. Velocity COLLAPSE or EXHAUSTING phase with bearish divergence ⚠ → quality is deteriorating; reduce exposure or tighten stops. 5. HTF BLOCKED amber window → LTF trend exists but higher timeframe disagrees; treat as lower-conviction and be aware of mean-reversion risk. The indicator does NOT issue buy/sell signals, does NOT define entry/exit prices, and is NOT a strategy. It is a regime-quality reading — a context layer you pair with your own trade management. ⚠️ LIMITATIONS & TRANSPARENCY • Trend-quality indicators are inherently trend-following. In low-volatility ranges the score can stay above threshold on minor moves; in very fast markets the score can lag by 1–3 bars while the filters stabilize. • HTF confirmation introduces a natural HTF delay. This is intentional (it removes noise) but means the HTF gate may lift several LTF bars after price has already moved. • All composite signals rely on look-backs (ADX 14, ER 20, Slope EMA 50, ATR 14). On very short intraday timeframes with low bar counts these need calibration. • Lifecycle phases are structural readings, not predictions. EXHAUSTING means the score is rolling over — not that price must reverse. • Past performance of any visual regime does not imply future performance. Charts showing clean historical windows are illustrative of the indicator's logic, not trading results. • No repainting on historical bars. The HTF call uses lookahead_off and barmerge.gaps_off. Score and regime values on closed bars are final. 🛡️ RISK DISCLOSURE This script is published as an educational and analytical tool. It does not provide financial advice, does not generate trade signals of any kind, and must not be used as a standalone decision system. Markets involve substantial risk of loss. Past behavior of any market regime, indicator output, or historical visual window is no guarantee of future results. Always combine any indicator with independent risk management, position sizing, a tested plan, and — where appropriate — the guidance of a licensed professional. You are solely responsible for any trading decisions you make.
Chỉ báo Pine Script®
của AGProLabs
Volatility Shape Classifier [AGPro Series]Volatility Shape Classifier 🔹 Overview Volatility Shape Classifier is a context and diagnostics tool that does not stop at telling you whether volatility is high or low. Instead it classifies the SHAPE of that volatility on every bar — Smooth, Chaotic, Choppy, Drift, or Dead — using three independent dimensions combined into a single regime read. The result is a continuous visual narrative made of a subtle background tint, throttled transition badges, and a compact metrics panel. It is designed to sit on your chart as a pure awareness layer. It does not generate buy or sell signals and it is not a trading strategy. 🔷 Unique Edge Most volatility tools compress the market into one axis — high vs low (ATR, Bollinger Band Width), or trend vs range (Choppiness Index, ADX). They answer half of the question. This script asks three questions at once and fuses the answers: 1. Magnitude — is ATR above or below its own long baseline? 2. Smoothness — are bar-to-bar moves consistent in size, or erratic? 3. Directional Consistency — do bars point the same way, or cancel each other? Only the combination of these three can distinguish a controlled trend run (Smooth) from a violent whipsaw (Chaotic) from a wide directionless thrash (Choppy) — all three of which can show identical ATR readings. That shape distinction is the core value this script adds, and it is the gap left by standard volatility and chop indicators. 🔶 Methodology Engine layer (per bar): • Volatility Level = ATR(volLen) / SMA(ATR, volLen * 3) • Smoothness = StDev(|close − close |) / SMA(|close − close |) over volLen • Direction = |sum(close − close )| / sum(|close − close |) over volLen Classification layer maps the three readings into six mutually exclusive codes: 0 — Forming (warm-up / in-between space, no tint) 1 — Expansion · Smooth (high vol, low CV, directional) 2 — Expansion · Chaotic (high vol, high CV) 3 — Expansion · Choppy (high vol, low direction) 4 — Low-Vol · Drift (low vol, low CV, mild direction) 5 — Low-Vol · Dead (low vol, low CV, no direction) Stability layer applies a configurable Confirmation Bars window so a new shape must persist for N consecutive bars before the chart commits to it. This prevents single-bar flicker. Between-state readings do not reset the current shape, they hold it — avoiding the classic "blink to neutral" problem of switch-based classifiers. 🔸 Signals & Alerts Four alert conditions are published: • Shape Shifted to Smooth Expansion • Shape Shifted to Chaotic Expansion • Shape Shifted to Choppy Expansion • Shape Collapsed (any expansion state falling into low-vol Drift or Dead) Alerts fire only on confirmed shape transitions and only on bar close, so repaint on the signal bar is not a concern. 🔹 Key Inputs • Volatility Length — window for ATR, smoothness, and direction (default 20) • Confirmation Bars — persistence requirement before committing to a new shape (default 3) • Badge Cooldown — minimum bars between visible badges (default 15; tint updates continuously regardless) • Panel Position / Size — six anchor points, four size presets • Badge Font Size — four size presets 🔷 How to Use • Use the SHAPE read as a setup filter, not as the signal itself. Smooth Expansion is where trend-following tools tend to perform well. Chaotic and Choppy Expansion are where they tend to fail even when the raw volatility reading looks attractive. • The Drift state often precedes an expansion in the direction of the drift. • The Dead state is a compression warning — a shape collapse alert from Expansion into Dead is a common precursor to a fresh expansion move in either direction. • Pair with your own entry logic (structure, moving averages, volume). This tool answers "what kind of market am I in right now?" — it does not answer "where do I enter?" 🔶 Limitations & Transparency • Thresholds (1.15x / 0.70x / 0.80 / 1.10 / 0.18) were tuned on crypto and FX data across 15m to 1D timeframes. Very illiquid instruments and very low timeframes (< 5m) may require a longer Volatility Length. • Shape classification is inherently backward-looking (it reads the last volLen bars). It describes the character of recent volatility, not future volatility. • The script is a context layer. It is not a strategy and should not be used in isolation for trade decisions. • Past behavior of a shape does not guarantee future behavior. 🔸 Risk Disclosure This indicator is an educational and analytical tool. It does not constitute financial advice, trade recommendations, or a signal service. All trading involves risk. You are solely responsible for your own trading decisions.
Chỉ báo Pine Script®
của AGProLabs
Mean Reversion Corridors [AGPro Series]Mean Reversion Corridors 🔹 Overview Mean Reversion Corridors is a volatility-adaptive deviation framework that maps how far price has stretched from a chosen fair-value center and classifies that stretch into two actionable zones. An inner corridor marks the early reversion band where price is meaningfully extended but not yet extreme; an outer corridor marks statistical exhaustion where continuation becomes less probable under normal conditions. A higher-timeframe trend filter separates controlled mean reversion from failure-continuation expansions, so traders can tell fading the edge from respecting a real break — all from a single clean overlay. 🔸 Unique Edge Most band systems (Bollinger, Keltner, ATR channels) offer a single width engine and a single band pair, leaving the trader to guess whether a tag is an exhaustion or a breakout. Mean Reversion Corridors is built around three ideas that work together: - A dual-engine width unit that linearly blends ATR (range-based) and Standard Deviation (dispersion-based) so the corridor is stable on both gap-heavy and low-dispersion regimes. - A two-layer corridor with distinct roles — inner for early stretch, outer for exhaustion — rendered as transparent zones you can read at a glance. - A regime-aware state machine that uses a higher-timeframe trend filter to reclassify outer tags as either reversion candidates or failure-continuation, tracked as explicit REV and FAIL states with a bounded confirmation window. 🧠 Methodology - Center Model — user choice of EMA, VWMA (volume-aware, default) or HMA (responsive), calculated on chart closes. - Width Unit — the current volatility unit is a linear blend: (1 − blend) × ATR + blend × StDev, protected against empty volatility periods. - Corridors — inner band at ±(width × inner multiplier), outer band at ±(width × outer multiplier). Stretch is reported in width-unit sigma. - Trend Filter — the same center model is evaluated on a higher-timeframe via request.security with lookahead off, and its slope is normalized by ATR so the "strong" threshold is volatility-aware, not symbol-specific. - State Machine — tracks the most recent outer-band extreme with a rolling 20-bar confirmation window. A reversion is confirmed only when price closes back inside the inner corridor and the trend filter is not strongly aligned with the original stretch. When the trend is strongly aligned, the outer break is reclassified as corridor failure (continuation). - All conditions evaluate on confirmed bars to avoid repainting behavior. ⚡ Signals & Alerts On-chart markers: - REV — reversion confirmed back through the inner band after an outer extreme, trend-filtered. - FAIL — corridor failure / trend-aligned continuation beyond the outer band. Six bar-close alert conditions: - Inner corridor entered — upside stretch - Inner corridor entered — downside stretch - Outer corridor hit — upside exhaustion - Outer corridor hit — downside exhaustion - Reversion confirmed - Corridor failure (continuation) ⚙️ Key Inputs - Center Model — EMA / VWMA / Hull - Center Length and Volatility Length — independent lookbacks - ATR ↔ StDev Blend — balance between range and dispersion engines - Inner Corridor Width and Outer Corridor Width — in volatility units - Trend Filter — enable, timeframe, length, strength threshold - Visuals — outer-only mode, center line, fills, edge tags, state labels, label size - Info Panel — show/hide, position (six options), font size - Alerts — individually toggleable for each of the six events 📖 How to Use - Start with the defaults on your main chart timeframe. The 34-period VWMA center, balanced blend and 1.0 / 2.2 inner/outer multipliers are chosen to work as a neutral starting point across liquid markets. - Inner corridor tags are early stretch cues — they flag that price is extended, not that a turn is due. Use them as context for setups, not as standalone signals. - Outer corridor tags with the trend filter neutral or opposed are the primary mean reversion setup; wait for a REV confirmation back inside the inner band before acting. - When FAIL appears, the stretch is trend-aligned; treat the outer band as continuation, not resistance. This is the signal to stop fading. - Use the Info Panel to read current state, reversion bias, trend regime and stretch magnitude in sigma at a glance. ⚠️ Limitations & Transparency - This is an analytical tool, not a trading strategy or financial advice. It does not predict future price. - Band-based classification assumes statistical behavior; during shocks, news events or illiquid sessions the width engine can lag. - The trend filter uses a higher-timeframe slope — it reacts slower than short-term momentum by design, which is the intended behavior. - Signals are evaluated on confirmed bars; intrabar crosses are not counted as events. - Past behavior of any indicator does not guarantee future results. Always apply your own risk management.
Chỉ báo Pine Script®
của AGProLabs
Trend Stability Ribbon [AGPro Series]Trend Stability Ribbon 🔹 OVERVIEW Most trend tools tell you WHICH WAY price is going. Trend Stability Ribbon tells you HOW WELL it is getting there. By pairing an ATR-normalized slope engine with a Kaufman path-efficiency score, it projects every bar into one of four rules-based states — Stable Up, Noisy Up, Stable Down, Noisy Down — and paints them onto a clean, adaptive ribbon that stays out of the candles' way. The result is a context layer that separates decisive trending from directional-but-choppy travel, without adding a second indicator pane. 🧭 UNIQUE EDGE — WHY THIS IS NOT "JUST ANOTHER TREND INDICATOR" Direction alone is cheap. Every moving-average cross, every supertrend, every slope color tells you "up" or "down" — and then leaves you holding the bag when the trend is technically up but structurally a mess. Trend Stability Ribbon adds the missing second dimension: path quality. The same 34-bar window that defines direction also feeds a Kaufman efficiency calculation (net travel divided by total path travel). An ER near 1.00 means price walked a near-straight line; an ER near 0.00 means it zig-zagged its way to the same point. Mapping that score against a calibrated threshold band produces the four composite states — and a visual language that finally distinguishes "trend worth trusting" from "trend worth fading". Additional design choices that set it apart: • Dual-layer event engine — direction flips, stability upgrades, and stability downgrades are tracked as independent transitions, each with its own alert. • Badge/alert separation — on-chart badges are throttled by a cooldown for visual hygiene, but alerts are always raw so automation pipelines never miss an event. • Reset state — when the slope-confirmation filter rejects a direction, the ribbon goes neutral instead of flipping false. Chop gets ignored, not misreported. 🧪 METHODOLOGY 1. TREND DIRECTION ENGINE • A slow EMA (default length 34) anchors the trend path and serves as the ribbon centerline. • Slope is measured over a 3-bar lookback and normalized by a 14-period ATR, making it instrument-agnostic across crypto, FX, equities, and futures. • With Slope Confirmation enabled (default), direction is only accepted when price position AND slope agree. Disagreement returns a Reset state. 2. PATH EFFICIENCY (STABILITY) ENGINE • ER = |close − close | ÷ Σ|close − close | over the same trend window. • Three classes: Stable (ER ≥ 0.45), Noisy (ER ≤ 0.25), Mixed (between). Thresholds scale with the Stability Sensitivity input. • The Mixed zone is a deliberate dead-band — during uncertain phases the previous state persists rather than flickering. 3. COMPOSITE STATE MACHINE • Direction × Stability yields five possible states: Stable Up, Noisy Up, Stable Down, Noisy Down, Reset. • Bars-in-state is tracked live, giving a simple persistence read on each state. 4. RIBBON RENDERING • Ribbon is anchored to the EMA centerline with height driven by ATR × a user-selected multiplier (Thin / ATR-Adaptive / Thick). • Fill opacity and border weight shift by state — Stable states are saturated, Noisy states are faded, Reset is a soft amber. 🔔 SIGNALS & ALERTS Three transition events are detected and exposed as separate, user-toggled alerts: • Trend State Flipped — direction changed (Up ↔ Down). Raw, never throttled. • Stability Improved — path upgraded from Noisy to Stable while direction held. Raw — delivered regardless of badge cooldown. • Stability Degraded — path downgraded from Stable to Noisy while direction held. Raw — delivered regardless of badge cooldown. Matching on-chart badges appear at the same moments, subject to the Stability Badge Cooldown for visual cleanliness. Direction-flip badges are never throttled. ⚙️ KEY INPUTS Engine • Trend Length (default 34) — lookback for both direction and path-efficiency windows. • Stability Sensitivity (default 1.0) — scales the Stable / Noisy thresholds. • Require Slope Confirmation (default on) — enforces price-and-slope agreement; rejects chop. Ribbon & Badge • Ribbon Height — Thin / ATR-Adaptive / Thick. • Show State Badge — toggle on-chart transition labels. • Label Font Size — tiny / small / normal / large (default normal). • Minimal Mode — hides panel and badges for pairing with other overlays. • Stability Badge Cooldown (default 5 bars) — visual throttle for stability transitions. Info Panel • Panel Position, Panel Font Size, Efficiency Ratio display, Active Thresholds display. Alerts • Independent toggles for each of the three transition events. 🧠 HOW TO USE • CONTEXT FILTER — use Stable states as a "green light" for continuation setups on your primary system; treat Noisy states as a headwind. • REGIME BREAKS — a Stability Degraded event mid-trend is often an early warning that the move is maturing, even before price has flipped. • CLEAN ENTRIES — pair a direction flip (Trend Up / Trend Down) with an immediate Stable classification to filter out whipsaw-prone breakouts. • CHOP AVOIDANCE — when the ribbon sits in a Reset or Mixed state, the script is telling you the underlying path is not tradeable as a trend. Stand aside or switch to range tactics. • PAIRING — with Minimal Mode on, the ribbon layers cleanly under structure tools, VWAPs, or S/R zones without visual conflict. ⚠️ LIMITATIONS & TRANSPARENCY • This is an indicator, NOT a strategy. It does not generate buy or sell orders, has no backtest, and makes no claim of performance. • Efficiency Ratio is a lagging measure — it describes the path already travelled. The ribbon should be read as context, not as a leading signal. • The Mixed zone is intentional persistence; expect the composite state to hold through brief chop rather than flipping on every bar. • Lower timeframes (<5m on thin-liquidity markets) can push ER values into erratic ranges. Start with the defaults on 15m–4h and tune from there. • All calculations are closed-bar. Intra-bar values may shift until the bar confirms. 🛡️ RISK DISCLOSURE This script is published for educational and analytical purposes only. It is not financial advice, not a signal service, and not a solicitation to buy or sell any instrument. Past behavior of markets does not predict future results. Always do your own research, apply proper risk management, and consult a licensed professional before making trading decisions. The author assumes no responsibility for losses incurred through use of this indicator.
Chỉ báo Pine Script®
của AGProLabs
Setup Quality Scorecard [AGPro Series]Setup Quality Scorecard Setup Quality Scorecard grades every bar on a transparent 0-100 scale across ten independent confluence dimensions. Instead of another signal generator, it is a quality filter: it tells you how strong the current setup is, which factors are firing, and how often similar past setups have followed through. Works on any symbol, any timeframe. 🔹 OVERVIEW Every trader has the same question before pulling the trigger: "Is this setup actually good, or am I forcing it?" Setup Quality Scorecard answers that question with a single auditable number. The composite score blends ten orthogonal factors — trend, momentum, volume, volatility, structure, S/R proximity, divergence, candle quality, session context, and higher-timeframe alignment — into a weighted 0-100 quality rating. Bars scoring above the A-Tier threshold are marked with support/resistance-style zones on the chart, so high-quality setup regions stay visible even as the market moves on. 🔹 UNIQUE EDGE Most quality indicators hide their internals behind a black-box algorithm. This one is fully transparent. Every factor exposes its own 0-10 score in the panel, every factor weight is user-adjustable, and every historical signal is evaluated against a forward-looking hit-rate test. There are no secret filters, no proprietary confidence bands, and no cherry-picked backtest. If a setup scores 87, you can see exactly which factors contributed and which did not. 🔹 METHODOLOGY Each of the ten factors is computed independently on the current bar and normalized to a 0-10 scale: 1. Trend Alignment — EMA 20/50/200 stack plus slope confirmation 2. Momentum — RSI zone position combined with 3-bar RSI delta 3. Volume Context — relative volume versus 20-period SMA, calibrated for real-world distribution 4. Volatility Regime — ATR percentile over the last 100 bars, favoring mid-range regimes 5. Structure — HH/HL or LH/LL confirmation via recent pivots 6. S/R Proximity — ATR-normalized distance to the nearest pivot level 7. Divergence — price-versus-RSI regular divergence captured at pivot time 8. Candle Quality — body-to-range ratio and wick balance 9. Session Context — active trading session weighting (London/NY overlap prioritized) 10. HTF Agreement — graduated higher-timeframe alignment scoring (full stack, partial stack, opposed regimes) The ten factor scores are weighted by user-adjustable coefficients, summed, and normalized to produce the final 0-100 composite. Tier labels (S / A / B / C / D) are assigned against user-configurable thresholds. 🔹 SIGNALS AND ALERTS When a bar crosses into A-Tier or higher, a zone is drawn using support/resistance-style geometry (body plus a small ATR cushion). Zones merge automatically when adjacent qualifying setups share the same directional bias, preventing chart clutter. Each zone is labeled with its tier and score in compact A·83 format, with a dotted leader line connecting the label to the zone edge. Four built-in alert conditions are exposed: - S-Tier Setup Detected (score crosses the S-Tier threshold) - A-Tier Setup Detected (score crosses the A-Tier threshold) - New Bullish Quality Setup (first A-tier bullish bar in a run) - New Bearish Quality Setup (first A-tier bearish bar in a run) 🔹 KEY INPUTS - General: Higher timeframe reference, rolling history window, forward evaluation bars - Thresholds: S / A / B / C tier cutoffs, fully adjustable - Factor Weights: ten independent sliders, 0.0 to 2.0, tune the scorer to your style - Zones: adaptive extend (auto or manual), merge window, max height cap in ATR units, maximum age - Labels: on-chart label mode (A-Tier only, S-Tier only, off), size presets - Panel: position, size, factor breakdown toggle 🔹 HOW TO USE Start with defaults and observe for a full session on your chart. Trend traders should raise the Trend and HTF Align weights. Reversal traders should raise Divergence, Structure, and S/R Proximity. Use the Active count in the panel as a quick filter: fewer than three factors above seven generally means a weak setup regardless of composite score. Use the hit-rate number to sanity-check whether your current configuration is performing on this asset and timeframe — if it is below 50 percent on a large sample, revisit your weight assignments. 🔹 LIMITATIONS AND TRANSPARENCY The hit-rate metric is backward-looking. It measures how often past A-tier signals produced a one-ATR directional move within the next N bars. It is not a forecast of future performance. A hit rate with fewer than twenty signals is flagged with an info marker because the sample size is not yet statistically meaningful. Factor definitions are static — they do not adapt to regime changes automatically. Session weighting assumes standard crypto and equity session times in UTC; adjust if you are trading exotic hours. The script uses pivot-based structure, which lags by the pivot length on the right edge of the chart (a standard trade-off for noise suppression). 🔹 RISK DISCLOSURE This indicator is an analytical tool, not financial advice. It does not predict future price movements. A high quality score does not guarantee a winning trade. Past performance of any displayed signal does not indicate future results. Always use proper risk management and position sizing. Never trade with capital you cannot afford to lose.
Chỉ báo Pine Script®
của AGProLabs
MTF Trend Agreement Map [AGPro Series]MTF Trend Agreement Map 🔹 **Overview** MTF Trend Agreement Map is a multi-timeframe alignment engine that reads the trend across five timeframes at once and distills the result into a single transparent agreement score. Instead of forcing you to flip between charts, the map tells you, on every bar, how many timeframes agree, which side wins, and whether the market is in a locked regime, a forming trend, or a conflict phase. It is built for swing traders, HTF-bias scalpers, position traders, and anyone who uses top-down analysis as part of their process. 🔸 **What Makes It Different** Most MTF indicators show a single method (usually a moving-average cross) repeated across timeframes, which means five rows that all agree with each other by construction. This map does something different: for each timeframe it runs three independent methods — an EMA regime filter, a pivot-based market-structure read (HH/HL vs LH/LL), and a normalized momentum slope — and blends their individual votes into the final score. You see not only the agreement across timeframes but also the agreement across methods, which exposes weak or borderline regimes that a single-method tool would quietly hide. 🔺 **Methodology** • EMA Trend: a timeframe is bullish when EMA50 is above EMA200 and price is above EMA50; bearish on the mirror condition; neutral otherwise. • Market Structure: confirmed pivots are tracked in real time. A timeframe is bullish while the last two confirmed swings form higher highs and higher lows, bearish on lower highs and lower lows. • Momentum Slope: the change in linear regression across a configurable lookback, normalized by ATR so that fast and slow assets are comparable. • Consensus per timeframe: each active method casts a vote; bulls minus bears determines the row's net direction and strength. • Overall alignment: bull and bear votes are summed across all active timeframes; the dominant side's share defines the agreement percentage. ◆ **Three-State Regime Engine** • **LOCKED** — agreement above the strong threshold (default 80%). High-conviction regime, continuation-friendly, background tint activates. • **TRENDING** — agreement between 50% and the strong threshold. Directional bias forming but not yet fully aligned. Trade with reduced size or wait for confirmation. • **SPLIT** — agreement below 50%. Timeframes are in conflict, no majority side. Classic chop phase, favors mean-reversion strategies or standing aside. 🔔 **Signals & Alerts** • Regime Lock (Bull or Bear): fires the first bar agreement crosses above the strong threshold while one side dominates. Designed as a continuation trigger, not a reversal signal. • Chop / Conflict: fires when no side holds the majority, a classic filter for mean-reversion systems or a stand-aside cue for trend traders. • Both generic and directional alertcondition() hooks are exposed so you can wire the map into automations. ⚙️ **Key Inputs** • Core Engine: toggle any of the three methods on or off, and tune the pivot length and momentum lookback independently. • Timeframes: four user-selected timeframes plus an optional Current row that auto-adapts to the chart TF. If the chart TF matches any selected TF, the Current row is hidden automatically to avoid double-counting. • Panel: six location presets, four text sizes (default Normal), dark or light theme, optional per-method breakdown row. • Background Tint: enable or disable, set the strong-alignment threshold (50–95%) and control transparency (70–99) to keep the chart premium. 📖 **How to Use** • Top-down confirmation: take trades on your execution timeframe only when the higher rows in the map agree with your thesis. • Regime filter: enable Regime Lock alerts to catch moments when the full map snaps into alignment — these are typical continuation windows. • Conflict filter: when the map prints SPLIT, widen stops, reduce size, or step aside; trend strategies historically underperform during these phases. • Method debugging: turn on the per-method breakdown to see which methods are driving the score and which are fighting it. ⚠️ **Limitations & Transparency** • All timeframe values are non-repainting at bar close (lookahead is disabled), but intrabar values can update until the parent bar closes — this is expected MTF behavior. • Market Structure requires enough history on each timeframe to confirm two swings; on very young assets or short charts the structure vote may be neutral until pivots print. • The map is a context tool, not a standalone entry system — combine it with your own execution logic, risk management, and bias. 📌 **Risk Disclosure** This script is provided for educational and analytical purposes only. It does not constitute financial advice, a recommendation, or a solicitation to trade any instrument. Markets involve substantial risk and past behavior does not guarantee future results. Always do your own research and manage risk responsibly.
Chỉ báo Pine Script®
của AGProLabs
Multi-Oscillator Consensus Engine [AGPro Series]Multi-Oscillator Consensus Engine 🔹 Overview Multi-Oscillator Consensus Engine aggregates ten independent momentum oscillators into a single regime classifier with overlay Consensus Zones, flip event labels, and agreement persistence tracking. Instead of watching ten charts separately, traders see one unified answer: are the oscillators in agreement, and what is the consensus saying right now? The script monitors RSI, Stochastic, CCI, MFI, Williams %R, ROC, Ultimate Oscillator, MACD, DMI balance, and Aroon balance. Each oscillator is normalized to a 0–100 scale and votes bullish, bearish, or neutral against configurable thresholds. The aggregated vote determines the market regime and drives everything else on the chart. 🔹 Unique Edge Most multi-oscillator tools stop at a dashboard or a simple agreement percentage. This engine goes further: - Regime Classification — four distinct states (Consensus Bull, Consensus Bear, Divergent, Transition) instead of a binary signal. - Consensus Zones — a horizontal price zone is born at every regime flip and stays alive while the regime holds. When the regime ends, the zone becomes historical structure. - Flip Event Labels — regime transitions are marked directly on price with merged flip + extreme agreement tags. - Persistence Tracking — streak bars, last flip distance, and historical extreme rate tell you how trustworthy the current consensus is. - Label Discipline — cooldown, horizontal stagger, and flip+extreme merge logic keep the chart readable even in choppy regimes. 🔹 Methodology Step 1. Ten oscillators are computed with their classic defaults and normalized to a 0–100 range. Indicators with native 0–100 output (RSI, Stochastic, MFI, Ultimate) pass through directly. Others (CCI, ROC, MACD histogram) are rescaled against their own recent range. Williams %R is flipped from its native -100..0 scale. Step 2. Each normalized oscillator casts a vote. Values above the bullish threshold vote +1, values below the bearish threshold vote -1, everything else is neutral. Vote counts and agreement percentage are computed bar by bar. Step 3. Regime is assigned from the vote distribution. Seven or more votes in one direction triggers Consensus Bull or Consensus Bear. A tight spread (bull-bear difference ≤ 2) triggers Divergent. Everything else is a Transition state. Step 4. On every bull↔bear regime entry, a new Consensus Zone is born at the current close ± a configurable ATR multiple. The zone extends forward while the regime is active and locks in place when the regime ends. A maximum of five active zones keeps the chart clean. Step 5. Labels are rendered only when cooldown and merge rules allow. Extreme agreement events (80%+ by default) are either merged into the flip label or drawn separately with larger offset. 🔹 Signals & Alerts Seven alert conditions ship with the script: - Consensus Bull Entry — regime has just entered Consensus Bull - Consensus Bear Entry — regime has just entered Consensus Bear - Consensus Bull Flip — direct Bear → Bull transition - Consensus Bear Flip — direct Bull → Bear transition - Extreme Bullish Agreement — agreement crosses the extreme threshold up - Extreme Bearish Agreement — same, on the bearish side - Consensus Streak 20+ — current regime has held for twenty bars 🔹 Key Inputs - Oscillator Periods — individual length settings for all ten oscillators - Bullish / Bearish Thresholds — the normalized levels that define a vote - Consensus Threshold — how many oscillators must agree for a regime (default 7/10) - Extreme Agreement — agreement percentage for extreme events (default 80%) - Consensus Zones — show/hide, ATR length and multiplier, max active count, closed zone trail - Label Cooldown — minimum bars between flip labels, prevents clutter - Merge Flip + Extreme — combine same-bar events into one label - Panel — six location options, Dark/Light theme, font sizes 🔹 How to Use Trend traders: wait for a Consensus Bull or Consensus Bear regime to establish (streak > 5 bars), then use pullbacks into the active Consensus Zone as entries in the regime direction. Exit on opposite regime flip. Reversion traders: Extreme Agreement events mark moments where all oscillators are stretched in the same direction. These are classic mean reversion setups. Wait for a regime flip against the extreme, confirmed on the next bar. Regime filter: overlay the panel on any chart and use the Regime and Agreement readings as a binary filter for your primary system. Only take longs when regime is Bull, only take shorts when regime is Bear. Works on all timeframes from 1m to 1W. Higher timeframes produce fewer but higher-conviction signals. 🔹 Limitations & Transparency - The oscillator votes use normalized thresholds. On extremely narrow ranges, the normalization may produce unstable votes. Raising the Bullish/Bearish Thresholds reduces this sensitivity. - Consensus Zones are drawn from close price at the flip bar. Large wick bars may place the zone slightly away from the visual pivot. - The script is not a standalone trading system. It is a confluence and regime tool to combine with your own structure, volume, or price action analysis. - All signals repaint only within the current forming bar. Once a bar closes and barstate.isconfirmed is true, flip labels and zones are final. 🔹 Risk Disclosure This indicator is provided for educational and analytical purposes only. It is not financial advice. Trading involves substantial risk. Past behavior of regime transitions does not guarantee future performance. Always use proper risk management and never risk more than you can afford to lose.
Chỉ báo Pine Script®
của AGProLabs
6
Iteratively Reweighted Least Squares (IRLS) [Jamallo]Author's Note: This script is published as a unique mathematical contribution to TradingView's open-source public library. It is intended to introduce a novel application of a robust statistical method for the community and developers to study, adapt, and build upon, rather than to serve as a standalone, out-of-the-box trading strategy. Introduction Almost all moving averages and smoothing filters in technical analysis treat historical price data equally or apply a fixed mathematical decay (like an EMA). The problem? A massive, anomalous wick or a sudden volatility spike will inevitably drag the average away from the true underlying market consensus. Enter Iteratively Reweighted Least Squares (IRLS) . IRLS is a robust statistical method that calculates a "consensus" price by actively identifying and down-weighting outliers. Instead of letting a large wick distort the line, the algorithm assigns less weight to prices that deviate furthest from the current estimate. The result is a filter that cuts through noise, ignores price-distant spikes, and naturally locks onto the dominant, high-density price levels. How It Works The indicator uses the Hardy weight function to determine how heavily each historical candle influences the current estimate. On every bar, the algorithm checks the distance of each sample from the current consensus and iteratively refines the line until it converges on a robust mean. Epsilon — the outlier rejection scale — is derived dynamically from the average High–Low range, keeping the filter dimensionless and consistent across all instruments and timeframes. Parameters Window Size (N) : The rolling lookback window of historical samples the kernel considers. Larger values produce a smoother, slower-responding line. Sparsity (s/N) : The core behavioral control. Dictates the fraction of the window allowed to "vote" on the estimate. Low Sparsity (e.g., 0.1) : Only the 10% of samples closest to the current estimate participate. Produces a snappy, selective line that locks tightly onto the most dominant price cluster. High Sparsity (e.g., 1.0) : All samples participate, resulting in a smoother, more conventional robust mean. Gamma (ε scale) : Controls the strength of outlier rejection. Lower values enforce harsh, median-like rejection. Higher values soften the rejection toward a standard weighted mean. Iterations : The number of reweighting convergence passes per bar. 2–3 is sufficient for practical convergence. Potential Applications The Hardy IRLS filter provides a unique lens into market structure by shifting the focus from simple time-averaged prices to spatial price consensus. Because it rejects price-distant wicks and noise spikes by design, it can serve as a foundation for: Custom trailing stops Dynamic support and resistance trackers Baseline trend or regime filters Feel free to inspect the open-source code, experiment with extreme sparsity and gamma settings, and integrate the IRLS core into your own quantitative projects. References Li Shuang, "Sparse Representation of Hardy Function by Iteratively Reweighted Least Squares," 2020 International Symposium on Computer Engineering and Intelligent Communications (ISCEIC), IEEE, 2020. DOI: 10.1109/ISCEIC51027.2020.00020
Chỉ báo Pine Script®
của Jamallo22
Entropy Momentum Filter [EMF] -FibonacciFluxEntropy Momentum Filter What it does Measures directional conviction in price action using Shannon entropy of log returns. Low entropy means strong directional conviction — the market is trending. High entropy means indecision — the market is ranging or chaotic. How it works Entropy Calculation: Builds a histogram of log returns over a rolling lookback window, then computes Shannon entropy H = -sum(p * ln(p)) Normalization: Divides by ln(N) to produce a 0-1 scale where 0 = perfect order and 1 = maximum randomness Color Gradient: Green (low entropy, conviction) → Gray (neutral) → Red (high entropy, indecision) Reference Lines: 0.3 low entropy threshold, 0.5 midpoint, 0.7 high entropy threshold Key Features Single clean concept — Shannon entropy applied to price changes Normalized 0-1 output — no parameter-dependent interpretation needed Built-in alert for conviction spikes (entropy drops below 0.3) Only 2 inputs: lookback period and histogram bin count Lightweight — minimal computational overhead How to use Conviction filter: Only take trend-following trades when entropy is below 0.5 Range detection: High entropy (>0.7) suggests avoid trend strategies or switch to mean-reversion Conviction spike alert: Built-in alert fires when entropy drops below 0.3 — strong move likely starting Combine with directional indicators: Use EMF as a filter on top of your existing signals Inputs Lookback period (default 20) — rolling window for entropy calculation Histogram bins (default 10) — granularity of the return distribution Works on all timeframes and instruments. Particularly effective as a regime filter combined with trend-following or mean-reversion strategies.
Chỉ báo Pine Script®
của FibonacciFlux
AG Pro Previous Day Sweep & Reclaim [AGPro Series]AG Pro Previous Day Sweep & Reclaim Overview / What it does AG Pro Previous Day Sweep & Reclaim is an overlay built to map one very specific price behavior around the previous day’s range: a sweep of the Previous Day High (PDH) or Previous Day Low (PDL), followed by a reclaim back inside the level. The script is designed for traders who want a structured way to observe failed expansion attempts around prior-day liquidity. Instead of treating every break of PDH or PDL as continuation, this tool focuses on the opposite question: when price briefly trades beyond a prior-day extreme and then reclaims that level, is the move showing signs of rejection strong enough to deserve attention? The core idea is intentionally narrow. This is not a broad market-structure engine, not a support/resistance dashboard, and not a general breakout system. Its purpose is to isolate a specific sequence: sweep -> reclaim -> quality assessment. That single workflow helps keep the script readable and functionally distinct. Signals can be confirmed on the same bar or on the next bar, depending on user preference. Once a reclaim is confirmed, the script assigns a quality score, draws a directional arrow, prints a reclaim label, and keeps the visual structure compact enough for practical chart work across intraday and higher timeframes. Unique Edge The distinguishing feature of this script is that it does not simply plot PDH and PDL, and it does not label every break as meaningful. It attempts to separate ordinary range interaction from failed liquidity grabs by requiring reclaim confirmation and then grading the event. Its logic is centered on reversal-quality mapping rather than static level display. That means the script does more than show where the previous day’s extremes are located. It evaluates whether the move through those extremes was shallow or excessive, whether the reclaim was weak or decisive, whether wick behavior supports rejection, whether volume was comparatively active, and whether the event occurred inside the selected session context. Another practical edge is the confirmation flexibility. Some traders prefer immediate reclaim behavior on the same bar. Others want one additional bar for confirmation. This script supports both approaches, plus an Either mode for broader detection. The visual side is also deliberately managed. Reclaim labels, arrows, guide lines, sweep boxes, label spacing controls, visible label limits, and HTF label filtering are included so the output remains usable instead of turning into uncontrolled chart clutter. Methodology The script retrieves the previous day’s high and low and tracks live interaction with those two reference levels. Bullish reclaim logic begins with a downside sweep: - price trades below the Previous Day Low - price then closes back above the Previous Day Low - confirmation can occur on the same bar, on the next bar, or by either method depending on settings Bearish reclaim logic mirrors that process: - price trades above the Previous Day High - price then closes back below the Previous Day High - confirmation follows the selected reclaim mode After confirmation, the script computes a quality score from multiple components. These components are intended to give structure to the event rather than to claim certainty about future direction. The quality model includes: - sweep depth relative to ATR - reclaim strength within the bar range - rejection wick fraction - relative volume versus a moving average baseline - bar range relative to ATR - urgency factor for same-bar versus next-bar confirmation - candle body bias - session participation The final score is normalized to a 0-100 scale and translated into a simple tier: - A - B - C - D This score is not meant to be a prediction engine. It is a ranking tool that helps organize reclaim events by relative quality under the script’s own rules. Session filtering is available because many traders only want to evaluate sweep-and-reclaim behavior during specific active windows. London, New York, custom sessions, or unrestricted monitoring can be selected. For chart usability, the script also includes: - previous day range fill - optional reclaim guide lines - optional sweep boxes - reversal arrows - reclaim labels - summary panel - visible label limits - HTF smart label filtering - minimum bar spacing between same-side labels Signals & Alerts The script produces two primary confirmed event types: 1. Bullish Previous Day Sweep & Reclaim A downside sweep through PDL followed by a reclaim back above that level. 2. Bearish Previous Day Sweep & Reclaim An upside sweep through PDH followed by a reclaim back below that level. When enabled, the chart can display: - directional reclaim arrows - reclaim labels with score, tier, and confirmation mode - sweep zone boxes - short reclaim guide lines Built-in alerts are included for: - Bullish Previous Day Sweep & Reclaim - Bearish Previous Day Sweep & Reclaim These alerts are tied to confirmed reclaim conditions defined by the selected confirmation mode and minimum quality threshold. Key Inputs Reclaim Confirmation Choose whether confirmation must occur on the Same Bar, Next Bar, or Either. One Signal Per Side / Day Limits repeated signals of the same side within a single day. Use Session Filter Restricts detection to the selected session environment when desired. Minimum Quality Score Filters out lower-ranked reclaim events. ATR Length / Volume SMA Length Inputs used by the quality model. Ideal Sweep Depth (ATR) / Maximum Sweep Depth (ATR) Define how the script evaluates sweep depth quality. Label and Visual Controls Manage font size, offset, sweep boxes, guide lines, visible label count, and general chart cleanliness. HTF Smart Label Filter Helps reduce label overload on daily, weekly, and monthly charts. Minimum Bars Between Same-Side Labels Introduces spacing between repeated bullish or bearish reclaim labels to prevent visual stacking. Limitations & Transparency This script is an analytical overlay. It is not a strategy, not an execution model, and not a guarantee of reversal. A reclaim of PDH or PDL can still fail. Markets can continue trending after a sweep, especially during strong directional conditions, news-driven volatility, or low-liquidity distortions. For that reason, the quality score should be interpreted as an internal event-ranking framework, not as proof of future performance. Session settings matter. Timeframe context matters. Confirmation mode matters. Label filters also affect what is visible on the chart, especially on higher timeframes. Users should understand that changing these inputs changes the strictness and presentation of the output. This tool does not use order book data, broker-specific execution data, or hidden liquidity metrics. It works entirely from chart-based price and volume inputs available in Pine. It is also important to note what this script does not attempt to do: - it does not classify overall market regime - it does not replace broader structure analysis - it does not define entries, stops, or exits for the user - it does not evaluate multi-level confluence outside its own reclaim framework In short, it is a focused map for previous-day sweep and reclaim behavior, nothing more and nothing less. Risk Disclosure This script is for chart analysis and educational use only. It does not provide financial, investment, legal, or tax advice. All trading decisions involve risk. Past price behavior around previous-day levels does not guarantee future results. Users should apply their own confirmation process, risk management rules, and market context analysis before acting on any chart signal. Always test settings carefully and use the tool as one component inside a broader decision-making process, not as a standalone basis for trading.
Chỉ báo Pine Script®
của AGProLabs
2
AG Pro Engulfing Candle Quality [AGPro Series]AG Pro Engulfing Candle Quality Overview / What it does AG Pro Engulfing Candle Quality is a price action overlay designed to detect bullish and bearish engulfing candles and then grade them through a structured quality framework instead of treating every engulfing event as equally important. Rather than marking all engulfing candles with the same visual weight, this script evaluates whether the candle shows characteristics that may make the event more meaningful in context. The goal is to reduce low-value pattern noise and help the user focus on engulfing candles that display stronger internal structure and better surrounding conditions. The script can color qualifying candles, display score labels directly on the chart, add optional background emphasis, and summarize recent signal state through an information panel. This makes it suitable for traders who want a cleaner way to review engulfing behavior without turning the chart into a generic pattern map. In practical use, the script is not intended to predict direction on its own. It is designed as a filtering and chart-reading aid for users who already work with structure, liquidity, support/resistance, trend context, or discretionary execution rules. Unique Edge Many engulfing tools stop at pattern detection. This script takes a different approach by treating engulfing candles as a quality event rather than a binary event. Its core difference is the scoring model. Each qualifying candle is evaluated through a multi-factor framework that can include relative volume behavior, body-to-range efficiency, prior directional context, engulf strength, and optional support/resistance proximity. This creates a 1-10 quality score that helps separate weaker engulfing events from stronger ones. The result is a more selective workflow: - detect the pattern, - evaluate the candle quality, - display only the events that meet the user’s threshold, - and keep the chart focused on higher-interest formations. This makes the script different from simple engulfing markers, basic candlestick libraries, or broad pattern collections. Its purpose is not to label everything. Its purpose is to rank and filter. Methodology The script identifies bullish and bearish engulfing conditions using configurable detection logic. Users can choose a stricter close-based interpretation or a broader wick-based interpretation depending on how selective they want the pattern engine to be. Once an engulfing candle is detected, the script evaluates the event with a weighted quality framework. The conceptual components include: 1. Relative volume The candle is compared against a moving average of volume. A candle that forms with stronger-than-normal participation can receive a higher quality contribution than one forming on ordinary or weak activity. 2. Body efficiency The candle body is evaluated relative to the full range. A larger, more decisive body may indicate stronger commitment than a candle with excessive wick noise and a relatively small real body. 3. Prior directional context The script reviews recent directional pressure over a user-defined lookback window. This helps distinguish engulfing candles that appear after a more meaningful opposing move from those that form in flatter or less informative conditions. 4. Engulf strength The script can incorporate how convincingly the current candle overtakes the prior candle structure, adding another layer beyond simple pattern recognition. 5. Optional support/resistance proximity Users can enable an additional contextual bonus when the engulfing event forms near pivot-derived support or resistance areas. These components are normalized into a score from 1 to 10. The score is then used for chart display, filtering, and alerts. This means the script is not simply asking whether an engulfing candle exists. It is asking whether the engulfing candle appears to have enough internal and contextual quality to deserve attention. Signals & Alerts The script can display: - bullish engulfing events, - bearish engulfing events, - candle coloring for qualified signals, - optional score labels, - optional background highlights, - and a chart panel summarizing recent signal state. Alerts are deterministic and based on confirmed rule conditions inside the script. Users can create alerts for: - bullish engulfing events, - bearish engulfing events, - high-quality bullish engulfing events, - high-quality bearish engulfing events, - or any engulfing event that meets the selected minimum score threshold. As with any chart tool, users should understand that alerts reflect the script’s rules, not an outcome guarantee. An alert means the selected condition has been satisfied according to the methodology. It does not imply that the next market move will be favorable. Key Inputs The script includes several controls so users can adapt the tool to different symbols and timeframes. Important inputs include: - minimum score required for display, - label cooldown to reduce visual clustering, - trend-strength lookback, - strict close-based or broader wick-based engulf logic, - bullish and bearish visibility toggles, - optional support/resistance bonus, - support/resistance pivot length, - ATR-based proximity setting, - scoring weights for volume, body efficiency, trend context, and engulf strength, - volume average threshold, - body/range threshold, - color controls for bullish, bearish, and score states, - label size, - background highlight toggle, - candle-coloring toggle, - score label visibility, - panel visibility, position, font size, and theme, - and minimum score required for alerts. These inputs allow the user to keep the script conservative and selective, or make it more permissive when reviewing more active charts. Limitations & Transparency This script is a rule-based visual analysis tool. It does not know future price action, and it does not confirm trade quality on its own. Several points are important: - An engulfing candle is still a local pattern. It can fail, especially in noisy or low-liquidity environments. - Strong scores do not guarantee continuation or reversal. - The support/resistance context is approximate and derived from pivot logic, not from a universal market map. - Volume behavior can vary across markets and data feeds. - Different timeframes can produce very different signal density and quality distribution. - The script is designed for confirmation and filtering, not for fully automated decision-making. Users should treat the score as a structured quality estimate, not as a promise. In many workflows, the script is most useful when combined with broader context such as market structure, trend bias, higher-timeframe levels, session behavior, or risk management rules. Risk Disclosure This script is provided for chart analysis and educational use. It is not financial advice, not an execution system, and not a guarantee of performance. All trading and investing involve risk. Market conditions can change quickly, and any pattern, score, or alert can fail. Users are responsible for their own analysis, entries, exits, and risk controls. Use the script as a decision-support tool, not as a substitute for judgment.
Chỉ báo Pine Script®
của AGProLabs
2
Kalman Trend Estimator [KTE] -FibonacciFlux OVERVIEW Optimal linear trend filter using scalar Kalman filtering. Treats price as a noisy measurement of a hidden trend state and recursively computes the optimal estimate. The Kalman gain adapts automatically — no manual threshold tuning required. HOW IT WORKS The filter balances two noise sources: - Process Noise (Q): how fast the true trend can change - Measurement Noise (R): how noisy price observations are The Kalman gain adjusts every bar: - During clean trends: gain tightens, tracks price closely - During choppy markets: gain loosens, smooths out noise Innovation magnitude (prediction error) serves as a built-in regime classifier: small innovations = trending, large innovations = noisy/ranging. FEATURES - Adaptive Kalman gain — zero manual tuning - Innovation-based regime coloring (green = trend, red = noise) - Confidence bands derived from estimation uncertainty (P matrix) - Signal dots at trend direction changes - Works on all timeframes and instruments SETTINGS Process Noise Q: Controls trend tracking speed. Higher = faster adaptation. Default 0.01. Measurement Noise R: Controls price smoothing. Higher = smoother output. Default 1.0. Show Bands: Toggle confidence bands on/off. Based on: R.E. Kalman (1960), "A New Approach to Linear Filtering and Prediction Problems", Journal of Basic Engineering.
Chỉ báo Pine Script®
của FibonacciFlux
1