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SMA MAD Trend [Alpha Extract]A sophisticated trend identification system that combines Simple Moving Average with Mean Absolute Deviation methodology to create adaptive Super Trend-style bands with advanced strength filtering and gradient visualization. Utilizing ADX-based trend strength validation and slope analysis for signal quality enhancement, this indicator delivers institutional-grade trend detection with dynamic ATR-based ribbon visualization and comprehensive strength measurement. The system's dual-filter architecture eliminates false signals during weak or choppy market conditions while maintaining sensitivity to genuine trend establishment and reversal events. 🔶 Advanced SMA-MAD Band Construction Implements innovative Mean Absolute Deviation calculation around Simple Moving Average baseline to create volatility-adaptive bands with ratcheting logic for trend persistence. The system calculates MAD by measuring absolute price deviations from the mean, then applies configurable multipliers to generate upper and lower bands that adjust to changing market conditions while preventing premature band violations. // Core SMA-MAD Framework SMA_Value = ta.sma(close, SMA_Length) Mean = ta.sma(close, MAD_Length) Abs_Deviation = abs(close - Mean) MAD_Value = ta.sma(Abs_Deviation, MAD_Length) // Adaptive Bands Upper_Band = SMA_Value + MAD_Factor * MAD_Value Lower_Band = SMA_Value - MAD_Factor * MAD_Value 🔶 Intelligent Dual-Filter System Features comprehensive trend validation using ADX strength measurement and slope analysis to eliminate low-conviction signals during ranging or consolidating markets. The system calculates normalized slope strength using ATR scaling and combines with ADX threshold analysis, generating filtered trend states that distinguish genuine trends from temporary price fluctuations. 🔶 Dynamic Trend Strength Engine Implements sophisticated strength calculation combining slope intensity and ADX readings to produce normalized 0-100% strength scores with gradient colour intensity modulation. The system normalizes slope by minimum threshold and ADX by configurable level, multiplying factors to create composite strength measurement that drives visual feedback intensity across all indicator elements. 🔶 Super Trend-Style Direction Logic Utilizes classic Super Trend methodology adapted for SMA-MAD bands, where trend direction flips occur on opposite band violations with persistent state maintenance. The system tracks previous band levels with ratcheting behaviour that adjusts bands only when price movement or new calculations warrant changes, preventing oscillation during normal volatility. 🔶 ATR-Based Ribbon Visualization Provides dynamic ribbon overlay using ATR-scaled width around the trend line with opacity modulation based on trend strength for intuitive conviction assessment. The system creates upper and lower ribbon bounds at configurable ATR multiples, filling the channel with gradient-adjusted transparency that increases during strong trends and fades during weak conditions. 🔶 Multi-Dimensional Visual Architecture Provides complete chart integration through trend line overlay, ATR ribbon fills, candle colouring, background glow, and transition signal labels with configurable visibility toggles. The system enables traders to customize display density from minimal (trend line only) to comprehensive (all visual elements) while maintaining consistent colour scheme and strength-based intensity across components. 🔶 Slope Strength Validation Calculates ATR-normalized slope over configurable lookback periods to measure trend line momentum and filter sideways price action. The system compares absolute slope against minimum threshold requirements, preventing trend signals when price movement relative to the trend line lacks sufficient directional conviction regardless of band position. 🔶 Signal Generation Framework Generates trend change signals when filtered direction state transitions from bearish to bullish or vice versa, with label placement and alert integration. The system implements state persistence that maintains previous trend until both ADX and slope filters confirm directional change, reducing whipsaw signals while capturing genuine reversals with minimal lag. 🔶 Performance Optimization Framework Utilizes efficient calculation methods with optimized variable management and configurable parameters for balance between responsiveness and stability. The system includes intelligent state tracking with NA handling for initial bars and smooth gradient calculations that maintain performance across extended historical periods and real-time updates. This indicator delivers sophisticated trend identification through Mean Absolute Deviation methodology combined with dual-strength filtering for superior signal quality. Unlike traditional Super Trend indicators that rely solely on ATR bands, the SMA-MAD approach uses statistical deviation measurement while incorporating ADX strength and slope validation to eliminate false signals during choppy conditions. The system's gradient-based visual feedback, ATR ribbon visualization, comprehensive dashboard, and multi-dimensional filtering make it essential for traders seeking reliable trend-following approaches with clear conviction measurement across cryptocurrency, forex, and equity markets. The combination of adaptive bands, strength-based transparency, and intelligent filtering creates an institutional-grade trend system suitable for systematic trading strategies.
Pine Script® göstergesi
AlphaExtract tarafından
10
Volatility State Index [Interakktive]The Volatility State Index (VSI) classifies market volatility into three behavioral states: Expansion, Decay, and Transition. It answers one question visually: Is volatility supporting price movement, withdrawing, or unstable? Unlike traditional volatility indicators that show levels or bands, VSI diagnoses the current volatility regime so traders can adapt their approach accordingly. █ WHAT IT DOES • Classifies volatility into three states: Expansion (teal), Decay (grey), Transition (amber) • Measures volatility momentum as a percentage rate-of-change • Applies stability filtering to detect unstable/choppy conditions • Uses persistence logic to prevent state flickering • Exports state data for use in alerts and strategies █ WHAT IT DOES NOT DO • NO buy/sell signals • NO entry/exit recommendations • NO alerts (v1 is diagnostic only) • NO performance claims This is a volatility diagnostic tool, not a trading system. █ HOW IT WORKS The VSI processes volatility through a five-stage pipeline: STAGE 1 — Base Volatility Calculates ATR as the foundation for volatility measurement. STAGE 2 — Smoothing Applies EMA smoothing to reduce noise in the volatility series. STAGE 3 — Volatility Momentum Computes the percentage rate-of-change of smoothed volatility: Volatility Momentum (%) = ((Current ATR - Previous ATR) / Previous ATR) × 100 Positive values indicate expanding volatility; negative values indicate contracting volatility. STAGE 4 — Stability Filter Tracks how frequently volatility momentum changes direction. Frequent sign changes indicate unstable, choppy conditions. Stability Score = 1 - (Average Flip Rate) Low stability forces the Transition state regardless of momentum level. STAGE 5 — State Classification Combines momentum thresholds and stability to determine the final state: • Expansion: Momentum ≥ +5% (default threshold) • Decay: Momentum ≤ -5% (default threshold) • Transition: Between thresholds OR low stability A persistence filter requires states to hold for multiple bars before confirming, preventing visual noise. █ INTERPRETATION EXPANSION (Teal) Volatility is increasing in a sustained way. Price moves are becoming larger. What it suggests: • Breakouts are more likely to follow through • Stops may need wider placement • Trend-following approaches tend to work better • Mean-reversion weakens DECAY (Grey) Volatility is decreasing. Price is compressing into tighter ranges. What it suggests: • Breakouts are more likely to fail • Ranges tend to hold • Trend-following underperforms • Mean-reversion strengthens TRANSITION (Amber) Volatility behavior is unclear or unstable. This is NOT neutral — it is uncertainty. What it suggests: • Mixed signals — one bar huge, next bar dead • Higher whipsaw risk • Reduced conviction in either direction • Consider waiting for clarity The key insight: Amber is a warning, not a middle ground. It appears when volatility cannot decide what it wants to do. █ VISUAL DESIGN The indicator uses a state-first histogram design: • Histogram height shows volatility momentum percentage • Histogram color shows the classified state • Zero line provides visual anchor • Optional momentum line for confirmation • Optional background tint (default OFF for clean charts) The visual hierarchy prioritizes instant state recognition. A trader should understand the volatility environment in under one second without reading numbers. █ INPUTS Core Settings • ATR Length: Base volatility measurement period (default: 14) • Smoothing Length: EMA smoothing applied to ATR (default: 10) • Momentum Length: Rate-of-change lookback (default: 10) State Classification • Expansion Threshold (%): Momentum above this = Expansion (default: 5.0) • Decay Threshold (%): Momentum below this = Decay (default: -5.0) • Persistence Bars: Bars required to confirm state change (default: 3) • Stability Lookback: Window for stability calculation (default: 20) • Stability Threshold: Below this = forced Transition (default: 0.5) Visual Settings • Show State Histogram: Toggle main display (default: ON) • Show Momentum Line: Thin confirmation line (default: OFF) • Show Zero Line: Baseline reference (default: ON) • Show Background Tint: Subtle state coloring (default: OFF) █ DATA WINDOW EXPORTS When enabled, the following values are exported: • ATR (Raw) • ATR (Smoothed) • Volatility Momentum (%) • Stability Score (0-1) • State (-1/0/1): Decay = -1, Transition = 0, Expansion = 1 • Is Expansion (0/1) • Is Decay (0/1) • Is Transition (0/1) These exports allow VSI to be used as a filter in Pine Script strategies or alert conditions. █ ORIGINALITY While ATR and volatility indicators are common, VSI is original because it: 1. Classifies volatility into behavioral states rather than showing raw levels 2. Applies momentum analysis to volatility itself (rate-of-change of ATR) 3. Uses stability filtering to detect genuinely unstable conditions 4. Implements persistence logic to prevent state flickering 5. Provides a state-first visual design optimized for instant recognition VSI is state-first: it classifies volatility regimes (Expansion/Decay/Transition) rather than plotting volatility level alone, using momentum and stability to reduce false regime reads. This is not a modified ATR or Bollinger Band — it is a volatility regime classifier. █ SUITABLE MARKETS Works on: Stocks, Futures, Forex, Crypto Timeframes: All timeframes — state classification adapts accordingly Best on: Instruments with consistent volatility patterns █ RELATED • Market Efficiency Ratio — measures price path efficiency • Effort-Result Divergence — compares volume effort to price result █ DISCLAIMER This indicator is for educational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis before making trading decisions.
Pine Script® göstergesi
Interakktive tarafından
1
Session ATR Progression Tracker📊 Session ATR Progression Tracker - SIYL Regression Trading Tool Track how much of your instrument's 7-day Average True Range (ATR) has been covered during the current trading session. This indicator is specifically designed for regression traders who follow the "Stay In Your Lane" (SIYL) methodology, helping you identify when the probability of mean reversion significantly increases. If you are interested in more on that check out Rod Casselli and tradersdevgroup.com. 🎯 Key Features: • Real-time ATR Coverage Percentage - See at a glance what percentage of the 7-day ATR has been covered in the current session • SIYL-Optimized Thresholds - See at a glance when the instrument has achieved 80% and 100% ATR coverage, the proven thresholds where mean reversion probability increases (customizable) • Flexible Session Modes: - Daily: Resets at calendar day change - Session: Uses exchange-defined trading sessions - Custom Session: Set your exact session start/end times (perfect for futures traders and international markets) • Visual Alerts - Color-coded display (gray → orange → red) and optional background highlighting • Repositionable Display - Choose from 9 screen positions to avoid chart clutter • Session Markers - Green triangles mark the start of each new session • Detailed Stats - View current range, ATR value, session high/low, and session status 💡 Why Use This Indicator? This tool is built around a proven concept: regression trading becomes significantly more effective once a session has achieved at least 80% of its 7-day ATR. At this threshold, the probability of price reverting to mean increases substantially, creating higher-probability trade setups for SIYL practitioners. Benefits for regression traders: - Identify optimal entry points when mean reversion probability is highest (≥80% ATR coverage) - Avoid premature regression entries before adequate range has been established - Recognize when daily moves have "earned their range" and are ripe for reversal - Time fade-the-move and counter-trend strategies with statistical backing - Improve win rates by trading only after proven probability thresholds are met ⚙️ Setup Instructions: 1. Add the indicator to your chart 2. Select your preferred "Reset Mode" (recommend "Custom Session" for futures/international markets) 3. If using Custom Session, enter your session times in 24-hour format (e.g., 0930-1600 for US stocks, 1700-1600 for CME futures) 4. Adjust alert thresholds if desired (default: 80% and 100% - proven SIYL thresholds) 5. Position the display where it's most visible on your chart 📈 Works Across All Markets: Stocks • Futures • Forex • Indices • Crypto • Commodities Perfect for regression traders, mean reversion specialists, and SIYL practitioners who want to trade with probability on their side by entering only after the session has "earned its range." --- Tip: For futures contracts with overnight sessions that span calendar days (like MES, MNQ, MYM), use "Custom Session" mode with your exchange's official session times for accurate tracking.
Pine Script® göstergesi
jmaybe tarafından
1
TRV & nTRV - Trimmed Range VolatilityGrid bots require stable volatility measurement - ATR becomes misleading when gaps and sudden spikes distort the average. TRV (Trimmed Range Volatility) is an advanced version of ATR: it filters outliers at the extremes (highest and lowest ranges) and remains unaffected by gaps. This provides real-time, accurate volatility measurement for grid bot setup.Grid bots require stable volatility measurement - ATR becomes misleading when gaps and sudden spikes distort the average. TRV (Trimmed Range Volatility) is an advanced version of ATR: it filters outliers at the extremes (highest and lowest ranges) and remains unaffected by gaps. This provides real-time, accurate volatility measurement for grid bot setup. Why We Developed TRV? When a gap or sudden spike occurs in the morning, this extreme movement affects standard ATR calculations for an extended period. Even if the price moves sideways for the rest of the day, ATR remains elevated. This causes grid bots to operate with unnecessarily wide spacing and execute fewer trades. TRV Advantages: ✅ Unaffected by Gaps: Opening gaps don't distort the calculation ✅ Extreme Point Elimination: Filters the largest and smallest outlier candles ✅ Real-Time Accuracy: Shows current market volatility ✅ Grid Bot Optimization: Enables tighter and more efficient grid spacing ✅ Comparison Capability: Compare different stocks and timeframes with nTRV Grid Bot Usage: The TRV value is used directly to calculate the number of grid lines: (Resistance - Support) / TRV = Number of Grid Lines Example: Resistance: $110 Support: $90 TRV: $2 Grid Count: (110-90)/2 = 10 grid lines Features: Two Filtering Modes: Manual (enter number) or Percentage-Based (automatic ratio) Four Indicators in One: nTRV, TRV, ATR, and nATR all displayed on the same panel nTRV: Normalized value (percentage-based, for stock comparison) TRV: Absolute value (currency-based, for grid calculation) ATR & nATR Included: Standard ATR and nATR for direct comparison with TRV Comprehensive Analysis: Compare filtered (TRV) vs unfiltered (ATR) volatility side-by-side Default: 10% top, 10% bottom outlier elimination Conclusion: TRV is an advanced version of ATR specifically designed for grid bot traders. By filtering outlier movements, it provides more stable and reliable volatility measurement. The indicator includes both TRV (filtered) and ATR (unfiltered) on the same chart, giving traders a comprehensive view to make informed decisions. This dual-display approach enables more efficient grid strategies and increased trading frequency.
Pine Script® göstergesi
ExperiMentalist tarafından
[SM-021] Gaussian Trend System [Optimized]This script is a comprehensive trend-following strategy centered around a Gaussian Channel. It is designed to capture significant market movements while filtering out noise during consolidation phases. This version (v2) introduces code optimizations using Pine Script v6 Arrays and a new Intraday Time Control feature. 1. Core Methodology & Math The foundation of this strategy is the Gaussian Filter, originally conceptualized by @DonovanWall. Gaussian Poles: Unlike standard moving averages (SMA/EMA), this filter uses "poles" (referencing signal processing logic) to reduce lag while maintaining smoothness. Array Optimization: In this specific iteration, the f_pole function has been refactored to utilize Pine Script Arrays. This improves calculation efficiency and rendering speed compared to recursive variable calls, especially when calculating deep historical data. Channel Logic: The strategy calculates a "Filtered True Range" to create High and Low bands around the main Gaussian line. Long Entry: Price closes above the High Band. Short Entry: Price closes below the Low Band. 2. Signal Filtering (Confluence) To reduce false signals common in trend-following systems, the strategy employs a "confluence" approach using three additional layers: Baseline Filter: A 200-period (customizable) EMA or SMA acts as a regime filter. Longs are only taken above the baseline; Shorts only below. ADX Filter (Volatility): The Average Directional Index (ADX) is used to measure trend strength. If the ADX is below a user-defined threshold (default: 20), the market is considered "choppy," and new entries are blocked. Momentum Check: A Stochastic RSI check ensures that momentum aligns with the breakout direction. 3. NEW: Intraday Session Filter Per user requests, a time-based filter has been added to restrict trading activity to specific market sessions (e.g., the New York Open). How it works: Users can toggle a checkbox to enable/disable the filter. Configuration: You can define a specific time range (Default: 09:30 - 16:00) and a specific Timezone (Default: New York). Logic: The strategy longCondition and shortCondition now check if the current bar's timestamp falls within this window. If outside the window, no new entries are generated, though existing trades are managed normally. 4. Risk Management The strategy relies on volatility-based exits rather than fixed percentage stops: ATR Stop Loss: A multiple of the Average True Range (ATR) is calculated at the moment of entry to set a dynamic Stop Loss. ATR Take Profit: An optional Reward-to-Risk (RR) ratio can be set to place a Take Profit target relative to the Stop Loss distance. Band Exit: If the trend reverses and price crosses the opposite band, the trade is closed immediately to prevent large drawdowns. Credits & Attribution Original Gaussian Logic: Developed by @DonovanWalll. This script utilizes his mathematical formula for the pole filters. Strategy Wrapper & Array Refactor: Developed by @sebamarghella. Community Request: The Intraday Session Filter was added to assist traders focusing on specific liquidity windows. Disclaimer: This strategy is for educational purposes. Past performance is not indicative of future results. Please use the settings menu to adjust the Session Time and Risk parameters to fit your specific asset class.
Pine Script® stratejisi
sebamarghella tarafından
Combined: Net Volume, RSI & ATR# Combined: Net Volume, RSI & ATR Indicator ## Overview This custom TradingView indicator overlays **Net Volume** and **RSI (Relative Strength Index)** on the same chart panel, with RSI scaled to match the visual range of volume spikes. It also displays **ATR (Average True Range)** values in a table. ## Key Features ### Net Volume - Calculates buying vs selling pressure by analyzing lower timeframe data - Displays as a **yellow line** centered around zero - Automatically selects optimal timeframe or allows manual override - Shows net buying pressure (positive values) and selling pressure (negative values) ### RSI (Relative Strength Index) - Traditional 14-period RSI displayed as a **blue line** - **Overlays directly on the volume chart** - scaled to match volume spike heights - Includes **70/30 overbought/oversold levels** (shown as dotted red/green lines) - Adjustable scale factor to fine-tune visual sizing relative to volume - Optional **smoothing** with multiple moving average types (SMA, EMA, RMA, WMA, VWMA) - Optional **Bollinger Bands** around RSI smoothing line - **Divergence detection** - identifies regular bullish/bearish divergences with labels ### ATR (Average True Range) - Displays current ATR value in a **table at top-right corner** - Configurable period length (default: 50) - Multiple smoothing methods: RMA, SMA, EMA, or WMA - Helps assess current market volatility ## Use Cases - **Momentum & Volume Confirmation**: See if RSI trends align with net volume flows - **Divergence Trading**: Automatically spots when price makes new highs/lows but RSI doesn't - **Volatility Assessment**: Monitor ATR for position sizing and stop-loss placement - **Overbought/Oversold + Volume**: Identify exhaustion when RSI hits extremes with volume spikes ## Customization All components can be toggled on/off independently. RSI scale factor allows you to adjust how prominent the RSI line appears relative to volume bars.
Pine Script® göstergesi
jarodvaneijsden tarafından
IDWM Master StructureExecutive Summary The IDWM Master Structure is a Multi-Timeframe (MTF) trading tool designed to force discipline by aligning traders with the "Parent" trend. It functions by locking onto the "Completed Auction" of a higher timeframe candle (like a Daily or Weekly bar) and projecting that structure onto your lower timeframe chart. Its primary goal is to define the "Dealing Range"—the hard boundaries where value was previously established—so you don't get lost in the noise of smaller price movements. 1. The Principle of Completed Auctions (Hierarchy) Most technical indicators curve dynamically with every price tick. This script acts differently because it relies on "Settled Arguments." A closed Daily candle represents a finished battle between buyers and sellers; the High and Low are the historical results of that battle. To enforce this, the script automatically selects a "Parent" timeframe based on your view: Scalping (charts below 15 minutes) uses the 4-Hour Auction. Intraday trading (15 minutes to 4 Hours) uses the Daily Auction. Swing trading (Daily chart) uses the Weekly Auction. 2. Liquidity Pools & The Sticky Range The High and Low lines drawn by the indicator are not just support and resistance; they represent Liquidity Pools. In market theory, stop-losses (Sell Stops below Lows, Buy Stops above Highs) accumulate at these edges. Smart money often pushes price just past these lines to grab this liquidity (a "Stop Hunt") before reversing direction. To account for this, the script uses a "Sticky Range" mechanism. It refuses to redraw the box simply because price touched the line. Instead, it uses an Average True Range (ATR) Buffer. A new structure is only formed if the candle closes decisively outside the range plus this volatility buffer. This ensures you are trading real breakouts, not liquidity sweeps. 3. Internal Range Mechanics (Premium vs. Discount) Inside the Master Box, the script applies Equilibrium Theory to help with trade location. The most important internal line is the Equilibrium (EQ), which marks the exact 50% point of the range. Premium Zone (Above EQ): Price is mathematically "expensive" relative to the recent range. Algorithms generally look to establish Short positions here. Discount Zone (Below EQ): Price is considered "cheap." Algorithms generally look to establish Long positions here. It also plots the Master Open, which acts as a "Line in the Sand." If price is currently trading above the Master Open, the higher timeframe candle is Green (Bullish), suggesting longs have a higher probability. If below, the candle is Red (Bearish). 4. Wick Theory (Failed Auctions) The script places special emphasis on the wicks of the Master Candle because a wick represents a "Failed Auction"—a price level the market tried to explore but ultimately rejected. The indicator highlights the background of the wick area (from the High to the Body). On a retest, these zones often act as supply or demand blocks because the market remembers the previous failure. It also calculates the "Consequent Encroachment," which is the 50% midpoint of the wick. The rule of thumb here is that if a candle body can close past 50% of a wick, the rejection is nullified, and price will likely travel to fill the entire wick. 5. Energy Expansion (Breakout Targets) Market energy transfers from Consolidation (inside the box) to Expansion (the breakout). When the price finally breaks the "Sticky Range" (confirming via the ATR buffer), the script projects where that energy will go. It uses the height of the previous range to calculate Fibonacci extensions. Specifically, it targets the 1.618 Extension, often called the "Golden Ratio." This is a statistically significant level where expansion moves tend to exhaust themselves and reverse. 6. Safety Protocol: Live Detection A dashboard monitors the state of the parent candle. If the text turns Magenta with a warning symbol, it means the Higher Timeframe candle is "Live" (still forming). Trading off a live structure is considered higher risk because the "Auction" isn't finished—the High or Low can still shift. The safest approach is to trade when the dashboard indicates a standard, locked, historical structure.
Pine Script® göstergesi
siLve_R88 tarafından
Hash SupertrendHash Supertrend is a visually enhanced Supertrend-based indicator designed by Hash Capital Research, tuned specifically for crypto trend trading on Solana (SOL) and Bitcoin (BTC). It combines institutional-style color coding, an optional session time filter, and production-ready alerts for systematic and discretionary traders alike. What This Indicator Is Hash Supertrend is a trend-following volatility band indicator built on TradingView’s native ta.supertrend() function. It’s optimized and visually styled for: High-volatility crypto pairs (especially SOL/USDT, SOL/USD, BTC/USDT, BTC/USD) Timeframes typically used by crypto traders (from 5m scalping to 4H swing and 1D trend following) The script is an indicator, not a strategy: It does not place trades or show backtest results. It provides clear trend states, flips, and alerts that you can plug into your own execution stack or manual trading. Key Features ✅ Tuned for Crypto (Solana & Bitcoin) Parameters are chosen to respond well to the volatility profile of SOL and BTC, reducing noise while still catching strong moves. ✅ Non-repainting Supertrend Core Uses TradingView’s built-in ta.supertrend — values may move intrabar as the bar forms, but once a bar closes, the historical line and signals do not repaint. ✅ Fluorescent Trend Visualization Bright green for bullish phases Bright red for bearish phases Adaptive color intensity based on user setting ✅ Glow Layer & Trend Zones Glow effect around the Supertrend line for instant visual recognition Optional filled zones between price and line for “trend cloud” style visualization ✅ Time Filter (Session Control) Option to only mark signals during specific hours for those wanting to integrate with webhooks Designed for traders who avoid certain sessions (e.g., low-liquidity hours) ✅ Signal Dots & Alerts Tiny green dots for bullish flips Tiny red dots for bearish flips Professional, preconfigured alerts for: Long Entry Short Entry Any Trend Change Filtered signals outside trading hours (for monitoring only) The core logic is built on: ATR Length (ATR Length) Default: 16 Lower values (7–10): more sensitive, more signals, more noise Higher values (12–20): smoother, fewer but stronger trend signals Factor (Factor) Default: 3.11 Lower values (1.5–2.5): tighter bands, earlier entries, higher whipsaws Higher values (3.0–4.0+): wider bands, later entries, stronger trend confirmation The indicator reads direction from ta.supertrend and classifies: Bullish Trend: direction < 0 Bearish Trend: direction > 0 A trend flip happens when direction changes sign: longSignal: Supertrend flips from above price to below price (bearish → bullish) shortSignal: Supertrend flips from below price to above price (bullish → bearish)
Pine Script® göstergesi
Hash_Capital tarafından
Clean Industry DataClean Industry Data – Overview Clean Industry Data is a utility tool designed to give traders an instant, structured view of key fundamental and volatility metrics directly on the chart. The script displays a compact, customizable information panel containing: Industry & Sector Market Cap and Free-Float Market Cap Free-Float Percentage Average Daily Rupee Volume Relative Volume (R.Vol) based on daily volume % from 10 / 21 / 50 EMAs (calculated on daily closes) ADR (14-day) with threshold-based indicators ATR (current timeframe) with colour-coded risk cues All volume-based statistics are anchored to daily data, ensuring the values remain consistent across all timeframes. The display table supports flexible positioning, custom background/text colours, and adjustable text size. This script is ideal for traders who want a quick, accurate snapshot of a stock’s liquidity, volatility, and broader classification — without digging through multiple menus or external sources.
Pine Script® göstergesi
jigz11 tarafından
4
Position Sizing Calculator (Real-Time) - Futures Edition█ SUMMARY The following indicator is a Position Sizing Calculator based on Average True Range (ATR), originally developed by market technician J. Welles Wilder Jr., intended for real-time trading. This script utilizes the user's account size, acceptable risk percentage, and a stop-loss distance based on ATR to dynamically calculate the appropriate position size for each trade in real time. █ BACKGROUND Developed for use on the Micro E-mini Nasdaq-100 futures (MNQ), this script provides traders with continuously updated dynamic position sizes. It enables traders to instantly determine the exact number of contracts to use when entering a trade while staying within their acceptable risk tolerance. This real-time position sizing tool helps traders make well-informed decisions when planning trade entries and calculating maximum stop-loss levels, ultimately enhancing risk management. █ USER INPUTS Trading Account Size: Total dollar value of the user's trading account. Acceptable Risk (%): Maximum percentage of the trading account that the user is willing to risk per trade. ATR Multiplier for Stop-Loss: Multiplier used to determine the distance of the stop-loss from the current price, based on the ATR value. ATR Length: The length of the lookback period used to calculate the ATR value. Show Target Risk Row: Toggle to hide/show the Target Risk Row SL Levels Display: Option to see Both, Long Only, Short Only, or None of the Stop Loss Level Values. Contract Point Value ($): Point value per contract. Tooltip highlights common values. Tick Size: Minimum Price Movement (Default set to 0.25) Minimum Contracts: Override the Minimum Contracts per trade to a user selected value. (May Exceed User's Target Risk)
Pine Script® göstergesi
Stereotypical tarafından
Adaptive ATR% Grid + SuperTrend + OrderFlipDescription: This indicator combines multiple technical analysis tools to identify key price levels and trading signals: ATR% Grid – automatic plotting of support and resistance levels based on current price and volatility (ATR). Useful for identifying potential targets and entry/exit zones. SuperTrend – a classic trend indicator with an adaptive ATR multiplier that adjusts based on average volatility. OrderFlip – identifies price reversal points relative to a moving average with ATR-based sensitivity, optionally filtered by OBV and DMI. MTF Confirmation – multi-timeframe trend verification using EMA to reduce false signals. Signal Labels – "LONG" and "SHORT" labels appear on the chart with an offset from the price for better visibility. JSON Alerts – ready-to-use format for automated alerts, including price, SuperTrend direction, Fair Zone, and ATR%. Features: Fully compatible with Pine Script v6 Lines and signals are fixed on the chart, do not shift with new bars Configurable grid, ATR, SuperTrend, and filter parameters Works with MTF analysis and classic indicators (OBV/DMI) Usage: Best used with additional indicators and risk management strategies. ATR% Grid is ideal for both positional trading and intraday setups. перевод на русский Описание: Этот индикатор объединяет несколько методов технического анализа для выявления ключевых уровней цены и сигналов на покупку/продажу: Сетка ATR% (ATR% Grid) – автоматическое построение уровней поддержки и сопротивления на основе текущей цены и волатильности (ATR). Позволяет видеть потенциальные цели и зоны входа/выхода. SuperTrend – классический трендовый индикатор с адаптивным множителем ATR, который корректируется на основе средней волатильности. OrderFlip – определение моментов разворота цены относительно скользящей средней с учетом ATR, с возможностью фильтрации по OBV и DMI. MTF-подтверждение – проверка направления тренда на нескольких таймфреймах с помощью EMA, чтобы снизить ложные сигналы. Сигнальные метки – на графике появляются "LONG" и "SHORT" с отступом от цены для наглядности. JSON Alerts – готовый формат для автоматических уведомлений, включающий цену, направление SuperTrend, Fair Zone и ATR%. Особенности: Поддержка Pine Script v6 Линии и сигналы закреплены на графике, не двигаются при обновлении свечей Настраиваемые параметры сетки, ATR, SuperTrend и фильтров Совместимость с MTF-анализом и классическими индикаторами OBV/DMI Рекомендации: Используйте в сочетании с другими индикаторами и стратегиями управления риском. Сетка ATR% отлично подходит для позиционной торговли и интрадей. ATR% Grid – automatic plotting of support and resistance levels based on current price and volatility (ATR). Useful for identifying potential targets and entry/exit zones. SuperTrend – a classic trend indicator with an adaptive ATR multiplier that adjusts based on average volatility.
Pine Script® göstergesi
indexrate tarafından
DEMA ATR Strategy [PrimeAutomation]⯁ OVERVIEW The DEMA ATR Strategy combines trend-following logic with adaptive volatility filters to identify strong momentum phases and manage trades dynamically. It uses a Double Exponential Moving Average (DEMA) anchored to ATR volatility bands, creating a self-adjusting trend baseline. When the adjusted DEMA shifts direction, the strategy enters positions and scales out profit in phases based on ATR-driven targets. This system adapts to volatility, filters noise, and seeks sustained directional moves. ⯁ KEY FEATURES DEMA-Volatility Hybrid Filter Uses Double EMA with ATR expansion/compression logic to form a dynamic trend baseline. Directional Shift Entries Entries occur when the adjusted DEMA flips trend (bullish crossover or bearish crossunder vs its past value). Noise Reduction Mechanism ATR range caps extreme moves and prevents false flips during choppy volatility spikes. Multi-Level Take Profits Targets scale out positions at 1×, 2×, and 3× ATR multiples in the trade direction. Volatility-Adaptive Targets ATR multiplier ensures profit targets expand/contract based on market conditions. Single-Direction Exposure No pyramiding; the strategy flips position only when trend shifts. Automated Trade Finalization When all profit targets trigger, the position is fully closed. ⯁ STRATEGY LOGIC Trend Direction: DEMA baseline is modified using ATR upper/lower envelopes. • If the adjusted DEMA rises above previous value → Bullish • If it falls below previous value → Bearish Entry Rules: • Enter Long when bullish shift occurs and no long position exists • Enter Short when bearish shift occurs and no short position exists Take Profit Logic: 3 partial exits for each trade based on ATR: • TP1 = ±1× ATR • TP2 = ±2× ATR • TP3 = ±3× ATR Profit distribution: 30% / 30% / 40% Exit Conditions: • Exit when all TPs hit (full scale-out if sum of all TPs 100%) • Opposite trend signal closes current trade and opens new one ⯁ WHEN TO USE Trending environments Medium–high volatility phases Swing trading and intraday trend plays Markets that respect momentum continuation (crypto, indices, FX majors) ⯁ CONCLUSION This strategy blends DEMA trend recognition with ATR-based volatility adaptation to generate cleaner directional entries and structured take-profit exits. It is designed to capture momentum phases while avoiding noise-driven false signals, delivering a disciplined and scalable trend-following approach.
Pine Script® stratejisi
ChartPrime tarafından
5
OTT Volatility [RunRox]📊 OTT Volatility is an indicator developed by the RunRox team to pinpoint the most optimal time to trade across different markets. OTT stands for Optimal Trade Time Volatility and is designed primarily for markets without a fixed trading session, such as cryptocurrencies that trade 24/7. At the same time, it works equally well on any other market. 🔶 The concept is straightforward. The indicator takes a specified number of historical periods (Samples) and statistically evaluates which hours of the day or which days show the highest volatility for the selected asset. As a result, it highlights time windows with elevated volatility where traders can focus on searching for trade setups and building positions. 🔶 As the core volatility metric, the indicator uses ATR (Average True Range) to measure intraday volatility. Then it calculates the average ATR value over the last N Samples, creating a statistically stable estimate of typical volatility for the selected asset. 🔶 Statistically, during these highlighted periods the market shows higher-than-average volatility. This means that in these time windows price is more likely to be subject to stronger moves and potential manipulation, making them attractive for active trade execution and position management. ⚠️ However, historical behavior does not guarantee future results. These periods should be treated only as zones where volatility has a higher probability of being above normal, not as a promise of movement. As shown in the screenshot above, the indicator also projects potential future volatility based on historical data. This helps you better plan your trading hours and align your activity with periods where volatility is statistically expected to be higher or lower. 🔶 Current Volatility – as shown in the screenshot above, you can also monitor the real-time volatility of the market without any statistical averaging. On top of that, you can overlay the current volatility on top of the statistical volatility levels, which makes it easy to see whether the market is now trading in a high- or low-volatility regime relative to its usual behavior. 4 display modes – you can choose any visualization style that fits your trading workflow: Absolute – displays the raw volatility values. Relative – shows volatility relative to its typical levels. Average Centered – centers volatility around its average value. Trim Low Value – filters out low-volatility noise and highlights only more significant moves. This indicator helps you define the most effective trading hours on any market by relying on historical volatility statistics. Use it to quickly see when your market tends to be more active and to structure your trading sessions around those periods. ✅ We hope this tool becomes a useful part of your trading toolkit and helps you improve the quality of your decisions and timing.
Pine Script® göstergesi
RunRox tarafından
Hash Supertrend [Hash Capital Research]Hash Supertrend Strategy by Hash Capital Research Overview Hash Supertrend is a professional-grade trend-following strategy that combines the proven Supertrend indicator with institutional visual design and flexible time filtering. The strategy uses ATR-based volatility bands to identify trend direction and executes position reversals when the trend flips.This implementation features a distinctive fluorescent color system with customizable glow effects, making trend changes immediately visible while maintaining the clean, professional aesthetic expected in quantitative trading environments. Entry Signals: Long Entry: Price crosses above the Supertrend line (trend flips bullish) Short Entry: Price crosses below the Supertrend line (trend flips bearish) Controls the lookback period for volatility calculation Lower values (7-10): More sensitive to price changes, generates more signals Higher values (12-14): Smoother response, fewer signals but potentially delayed entries Recommended range: 7-14 depending on market volatility Factor (Default: 3.0) Restricts trading to specific hours Useful for avoiding low-liquidity sessions, overnight gaps, or known choppy periods When disabled, strategy trades 24/7 Start Hour (Default: 9) & Start Minute (Default: 30) Define when the trading session begins Uses exchange timezone in 24-hour format Example: 9:30 = 9:30 AM End Hour (Default: 16) & End Minute (Default: 0) Controls the vibrancy of the fluorescent color system 1-3: Subtle, muted colors 4-6: Balanced, moderate saturation 7-10: Bright, highly saturated fluorescent appearance Affects both the Supertrend line and trend zones Glow Effect (Default: On) Adds luminous halo around the Supertrend line Creates a multi-layered visual with depth Particularly effective during strong trends Glow Intensity (Default: 5.0) Displays tiny fluorescent dots at entry points Green dot below bar: Long entry Red dot above bar: Short entry Provides clear visual confirmation of executed trades Show Trend Zone (Default: On) Strong trending markets (2020-style bull runs, sustained bear markets) Markets with clear directional bias Instruments with consistent volatility patterns Timeframes: 15m to Daily (optimal on 1H-4H) Challenging Conditions: Choppy, range-bound markets Low volatility consolidation periods Highly news-driven instruments with frequent gaps Very low timeframes (1m-5m) prone to noise Recommended AssetsCryptocurrency:
Pine Script® stratejisi
Hash_Capital tarafından
Average True Range % infoATR% is a modified version of the classic Average True Range indicator that displays price volatility as a percentage of the instrument's value, rather than in absolute values. This allows you to easily compare the volatility of different assets (e.g., Bitcoin vs Tesla stock) regardless of their price. Main Features 1. ATR% Chart The red line shows the average volatility from the last N candles (default 14), expressed as a percentage. For example: ATR% = 2.5% means that the average daily move is approximately 2.5% of the asset's value Higher values = greater volatility (higher profit potential, but also greater risk) Lower values = lower volatility (calmer market) 2. Volatility Trend Analysis The indicator automatically detects whether volatility is rising, falling, or stable: Up arrow (↑) - volatility is rising (price becomes more "nervous") Down arrow (↓) - volatility is falling (market is calming down) Horizontal arrow (⮆) - volatility is stable (within ±3% of the moving average) 3. Information Table In the upper right corner of the chart you will see Current ATR% value and Trend arrow with color coding: - Green = rising volatility - Red = falling volatility - Gray = stable volatility Parameters to Configure Indicator Length (default: 14) - How many candles back to include in calculations: Lower values (5-10): more sensitive to sudden changes, reacts faster Higher values (20-30): more smoothed, shows long-term volatility picture Trend Length (default: 10) - Period to analyze whether volatility is rising/falling: Lower values: faster trend change signals Higher values: more reliable, but slower signals Sample Interpretations ATR% Volatility Asset Type/Situation < 1% Very low Stable blue-chip stocks, calm market 1-3% Low-medium Typical stocks, normal conditions 3-5% Medium-high Volatile stocks, cryptocurrencies at rest 5-10% High Cryptocurrencies, penny stocks > 10% Extremely high Market panic, crash, pump & dump
Pine Script® göstergesi
Jawortrader tarafından
Đại Ka 3 ATR BandsĐại Ka 3 ATR Bands – The ultimate single-slot indicator that replaces three separate ATR plots. Designed specifically for ICT/SMC traders in 2025: • Light red band (±0.5 ATR) → fake moves, Judas Swing, Turtle Soup zone • Gray band (±1.0 ATR) → normal price action • Light green band (±2.0 ATR) → real displacement zone → Silver Bullet, SFT, high-probability entries How to use: – Price stuck inside red band → expect reversal/fakeout – Price breaks and closes outside green band + volume spike → enter aggressively in that direction (85%+ win-rate inside Killzones) Default ATR(14), subtle fills for instant visual filtering of real vs fake moves. Perfect companion for Order Blocks, FVG, Breaker Blocks and NY/London Killzones. Free forever – coded with love by Đại Ka & Vietnamese ICT crew.
Pine Script® göstergesi
bra9ont tarafından
Momentum Tide [Alpha Extract]A sophisticated momentum-based trend identification system that measures normalized price deviation from an EMA baseline using ATR scaling and hyperbolic tangent smoothing for precise trend state classification. Utilizing advanced signal processing with configurable neutral bands and slope sensitivity adjustments, this indicator delivers institutional-grade momentum analysis with continuous strength measurement and visual trend confirmation. The system's three-state classification (bullish, bearish, neutral) combined with dynamic color intensity scaling provides comprehensive market momentum assessment across varying volatility conditions. 🔶 Advanced Baseline Deviation Framework Implements EMA-based baseline calculation with ATR-normalized deviation measurement to create volatility-adjusted momentum signals. The system calculates raw price deviation from the baseline, scales by ATR and slope sensitivity factor, then applies exponential smoothing for stable signal generation with reduced noise and false transitions. // Core Momentum Calculation Baseline = ta.ema(close, Baseline_Length) ATR_Value = ta.atr(ATR_Length) Raw_Deviation = (close - Baseline) / (ATR_Value * Slope_Scaler) Signal = ta.ema(Raw_Deviation, Signal_Smoothing) 🔶 Hyperbolic Tangent Normalization Engine Features sophisticated tanh transformation that clamps raw deviation signals into normalized -1 to +1 range for consistent interpretation across all market conditions. The system applies safe exponential calculations with value capping to prevent overflow while maintaining signal sensitivity, creating bounded momentum readings suitable for systematic threshold analysis. // Tanh Normalization Clamped_Signal = tanh(Signal) // Bounded to Strength = abs(Clamped_Signal) // Momentum intensity 🔶 Three-State Classification System Implements intelligent trend state determination using configurable neutral band thresholds to reduce whipsaw signals during ranging conditions. The system classifies market as bullish (+1) when momentum exceeds upper neutral band, bearish (-1) below lower neutral band, and neutral (0) within the band, providing clear directional bias with built-in consolidation recognition. 🔶 Dynamic Color Intensity Architecture Provides advanced visual feedback through momentum strength-based color intensity modulation, where stronger trends display more opaque colors and weaker trends show increased transparency. The system dynamically adjusts color alpha values based on absolute momentum strength, creating intuitive visual representation of trend conviction across baseline, candles, and bars. 🔶 Trend Strength Meter Visualization Features innovative horizontal gradient meter displaying real-time momentum position across bear-to-bull spectrum with 24-segment resolution. The system creates smooth color transitions from bearish red through neutral gray to bullish green, with arrow indicator showing precise momentum location for instant trend strength assessment without cluttering the price chart. 🔶 Intelligent Flip Detection System Generates transition markers when trend state changes from neutral/bearish to bullish or neutral/bullish to bearish, with duplicate signal suppression to prevent marker clustering. The system tracks previous signal states and only plots new markers on genuine trend reversals, providing clean entry signal visualization for systematic trading approaches. snapshot 🔶 Configurable Neutral Band Framework Implements adjustable neutral zone width using ATR percentage parameters to optimize signal frequency for different trading styles and market conditions. Wider bands reduce flip frequency for position trading while tighter bands increase sensitivity for active trading strategies, enabling customization without code modification. 🔶 Slope Sensitivity Adjustment Features slope scaler parameter that modulates ATR normalization factor, controlling signal smoothness versus responsiveness trade-off. Higher values create smoother momentum readings with fewer transitions while lower values increase snappiness for faster reaction to price changes, allowing optimization across different volatility regimes and timeframes. 🔶 Comprehensive Visual Integration Provides multi-dimensional trend visualization through color-coded baseline overlay, momentum-synchronized candle coloring, and bar color modification with configurable display toggles. The system includes optional flip markers and strength meter with position control for complete chart integration without visual overload. 🔶 Performance Optimization Framework Utilizes efficient calculation methods with optimized table management for strength meter updates and minimal computational overhead for real-time momentum processing. The system includes intelligent state tracking and safe mathematical operations to prevent errors during extreme market conditions while maintaining consistent performance. 🔶 Why Choose Momentum Tide ? This indicator delivers sophisticated momentum-based trend analysis through normalized deviation measurement and intelligent three-state classification. Unlike traditional momentum oscillators that operate in separate windows, Momentum Tide integrates directly with price action through baseline overlay and candle coloring while providing the analytical depth of bounded momentum measurement. The system's combination of tanh normalization, configurable neutral bands, dynamic color intensity, and innovative strength meter makes it essential for traders seeking adaptive trend-following approaches with clear visual feedback across cryptocurrency, forex, and equity markets. The three-state system naturally filters ranging periods while the momentum strength measurement enables position sizing and confidence assessment for systematic trading strategies.
Pine Script® göstergesi
AlphaExtract tarafından
1
HTF BIAS FILTER🧭HTF Bias Filter Indicator: 5 in 1 indicator Technical Overview The Bias Filter is a comprehensive multi-timeframe tool designed to confirm directional bias using five key indicators before entering a trade. It plots higher-timeframe Moving Averages directly on the chart and provides an immediate status summary via a static dashboard. The more confluence on the dashboard, the greater the probability of the direction of the trade. 1. 📊 Display Components A. Plotted Lines The indicator uses the request.security function to draw Moving Averages from higher timeframes onto your current chart: 1H EMA 21 (Purple): The 21-period Exponential Moving Average calculated on the 1-Hour (60 min) chart. Plotted using a step-line style. 4H EMA 50 (Red): The 50-period Exponential Moving Average calculated on the 4-Hour (240 min) chart. Plotted using a step-line style. B. Directional Dashboard A fixed-position summary table is anchored to the bottom-right corner of the chart, providing a quick glance at the current status of all five filters. 2. 🎨 Colour Logic Each of the five indicators is assigned a colour based on its current directional signal. The more indicators that show the same colour (confluence), the stronger the signal and the higher the likelihood of a high-probability trade. 🟢 Green indicators are signaling UP/BUY (Bullish momentum or trend). 🔴 Red indicators are signaling DOWN/SELL (Bearish momentum or trend). ⚫ Gray indicators are signaling Mixed or flat directions (neutral or undecided). Note: The dashboard's main header color is determined by a strict confluence logic (All four 4H filters must align for Green/Red), while individual indicator colors follow the simple rules above. 3. 📋 Indicator Breakdown and Logic The dashboard provides the direction of five different filters. 3.1. Higher-Timeframe (HTF) Trend Indicators These two signals determine the immediate slope and direction of the primary Moving Averages: 4H EMA 50: Timeframe: 4-Hour (240 min) Logic: Compares the current EMA value to the value two bars ago on the 4H chart. Output: UP ↑, DOWN ↓, or FLAT ⏸ 1H EMA 21: Timeframe: 1-Hour (60 min) Logic: Compares the current EMA value to the value two bars ago on the 1H chart. Output: UP ↑, DOWN ↓, or FLAT ⏸ 3.2. 4-Hour Confluence Filters These three indicators provide supplementary confirmation on Volume, Price Position, and Momentum, all calculated on the 4-Hour (240 min) chart: 4H OBV (Smoothed): Timeframe: 4-Hour (240 min) Logic: Direction is based on the current value of the 21-bar smoothed On-Balance Volume (OBV) compared to its value nine bars ago. Output: UP ↑, DOWN ↓, or FLAT ⏸ 4H ATR DIR (EMA Proxy): Timeframe: 4-Hour (240 min) Logic: Determines the price position by comparing the current Close price against the 4H EMA 50. Output: BUY 🟢 (Close > EMA 50), SELL 🔴 (Close < EMA 50), or FLAT ⏸️ (Close = EMA 50). 4H RSI (14): Timeframe: 4-Hour (240 min) Logic: Momentum check comparing the 14-period Relative Strength Index (RSI) value against the 50 level. Output: BUY 🟢 (RSI > 50), SELL 🔴 (RSI < 50), or FLAT ⏸️ (RSI = 50).
Pine Script® göstergesi
The_Tokyo_Protocol tarafından
Uptrick: Dynamic Z-Score DivergenceIntroduction Uptrick: Dynamic Z-Score Divergence is an oscillator that combines multiple momentum sources within a Z-Score framework, allowing for the detection of statistically significant mean-reversion setups, directional shifts, and divergence signals. It integrates a multi-source normalized oscillator, a slope-based signal engine, structured divergence logic, a slope-adaptive EMA with dynamic bands, and a modular bar coloring system. This script is designed to help traders identify statistically stretched conditions, evolving trend dynamics, and classical divergence behavior using a unified statistical approach. Overview At its core, this script calculates the Z-Score of three momentum sources—RSI, Stochastic RSI, and MACD—using a user-defined lookback period. These are averaged and smoothed to form the main oscillator line. This normalized oscillator reflects how far short-term momentum deviates from its mean, highlighting statistically extreme areas. Signals are triggered when the oscillator reverses slope within defined inner zones, indicating a shift in direction while the signal remains in a statistically stretched state. These mean-reversion flips (referred to as TP signals) help identify turning points when price momentum begins to revert from extended zones. In addition, the script includes a divergence detection engine that compares oscillator pivot points with price pivot points. It confirms regular bullish and bearish divergence by validating spacing between pivots and visualizes both the oscillator-side and chart-side divergences clearly. A dynamic trend overlay system is included using a Slope Adaptive EMA (SA-EMA). This trend line becomes more responsive when Z-Score deviation increases, allowing the trend line to adapt to market conditions. It is paired with ATR-based bands that are slope-sensitive and selectively visible—offering context for dynamic support and resistance. The script includes configurable bar coloring logic, allowing users to color candles based on oscillator slope, last confirmed divergence, or the most recent signal of any type. A full alert system is also built-in for key signals. Originality The script is based on the well-known concept of Z-Score valuation, which is a standard statistical method for identifying how far a signal deviates from its mean. This foundation—normalizing momentum values such as RSI or MACD to measure relative strength or weakness—is not unique to this script and is widely used in quantitative analysis. What makes this implementation original is how it expands the Z-Score foundation into a fully featured, signal-producing system. First, it introduces a multi-source composite oscillator by combining three momentum inputs—RSI, Stochastic RSI, and MACD—into a unified Z-Score stream. Second, it builds on that stream with a directional slope logic that identifies turning points inside statistical zones. The most distinctive additions are the layered features placed on top of this normalized oscillator: A structured divergence detection engine that compares oscillator pivots with price pivots to validate regular bullish and bearish divergence using precise spacing and timing filters. A fully integrated slope-adaptive EMA overlay, where the smoothing dynamically adjusts based on real-time Z-Score movement of RSI, allowing the trend line to become more reactive during high-momentum environments and slower during consolidation. ATR-based dynamic bands that adapt to slope direction and offer real-time visual zones for support and resistance within trend structures. These features are not typically found in standard Z-Score indicators and collectively provide a unique approach that bridges statistical normalization, structure detection, and adaptive trend modeling within one script. Features Z-Score-based oscillator combining RSI, StochRSI, and MACD Configurable smoothing for stable composite signal output Buy/Sell TP signals based on slope flips in defined zones Background highlighting for extreme outer bands Inner and outer zones with fill logic for statistical context Pivot-based divergence detection (regular bullish/bearish) Divergence markers on oscillator and price chart Slope-Adaptive EMA (SA-EMA) with real-time adaptivity based on RSI Z-Score ATR-based upper and lower bands around the SA-EMA, visibility tied to slope direction Configurable bar coloring (oscillator slope, divergence, or most recent signal) Alerts for TP signals and confirmed divergences Optional fixed Y-axis scaling for consistent oscillator view The full setup mode can be seen below: Input Parameters General Settings Full Setup: Enables rendering of the full visual system (lines, bands, signals) Z-Score Lookback: Lookback period for normalization (mean and standard deviation) Main Line Smoothing: EMA length applied to the averaged Z-Score Slope Detection Index: Used to calculate directional flips for signal logic Enable Background Highlighting: Enables visual region coloring in overbought/oversold areas Force Visible Y-Axis Scale: Forces max/min bounds for a consistent oscillator range Divergence Settings Enable Divergence Detection: Toggles divergence logic Pivot Lookback Left / Right: Defines the structure of oscillator pivot points Minimum / Maximum Bars Between Pivots: Controls the allowed spacing range for divergence validation Bar Coloring Settings Bar Coloring Mode: ➜ Line Color: Colors bars based on oscillator slope ➜ Latest Confirmed Signal: Colors bars based on the most recent confirmed divergence ➜ Any Latest Signal: Colors based on the most recent signal (TP or divergence) SA-EMA Settings RSI Length: RSI period used to determine adaptivity Z-Score Length: Lookback for normalizing RSI in adaptive logic Base EMA Length: Base length for smoothing before adaptivity Adaptivity Intensity: Scales the smoothing responsiveness based on RSI deviation Slope Index: Determines slope direction for coloring and band logic Band ATR Length / Band Multiplier: Controls the width and responsiveness of the trend-following bands Alerts The script includes the following alert conditions: Buy Signal (TP reversal detected in oversold zone) Sell Signal (TP reversal detected in overbought zone) Confirmed Bullish Divergence (oscillator HL, price LL) Confirmed Bearish Divergence (oscillator LH, price HH) These alerts allow integration into automation systems or signal monitoring setups. Summary Uptrick: Dynamic Z-Score Divergence is a statistically grounded trading indicator that merges normalized multi-momentum analysis with real-time slope logic, divergence detection, and adaptive trend overlays. It helps traders identify mean-reversion conditions, divergence structures, and evolving trend zones using a modular system of statistical and structural tools. Its alert system, layered visuals, and flexible input design make it suitable for discretionary traders seeking to combine quantitative momentum logic with structural pattern recognition. Disclaimer This script is for educational and informational purposes only. No indicator can guarantee future performance, and trading involves risk. Always use risk management and test strategies in a simulated environment before deploying with live capital.
Pine Script® göstergesi
Uptrick tarafından
13
Time-Decay Liquidity Zones [BackQuant]Time-Decay Liquidity Zones A dynamic liquidity map that turns single-bar exhaustion events into fading, color-graded zones, so you can see where trapped traders and unfinished business still matter, and when those areas have finally stopped pulling price. What this is This indicator detects unusually strong impulsive moves into wicks, converts them into supply or demand “zones,” then lets those zones decay over time. Each zone carries a strength score that fades bar by bar. Zones that stop attracting or rejecting price are gradually de-emphasized and eventually removed, while the most relevant areas stay bright and obvious. Instead of static rectangles that live forever, you get a living liquidity map where: Zones are born from objective criteria: volatility, wick size, and optional volume spikes. Zones “age” using a configurable decay factor and maximum lifetime. Zone color and opacity reflect current relative strength on a unified clear → green → red gradient. Zones freeze when broken, so you can distinguish “active reaction areas” from “historical levels that have already given way”. Conceptual idea Large wicks with strong volatility often mark areas where aggressive orders met hidden liquidity and got absorbed. Price may revisit these areas to test leftover interest or to relieve trapped positions. However, not every wick matters for long. As time passes and more bars print, the market “forgets” some areas. Time-Decay Liquidity Zones turns that idea into a rule-based system: Find bars that likely reflect strong aggressive flows into liquidity. Mark a zone around the wick using ATR-based thickness. Assign a strength score of 1.0 at birth. Each bar, reduce that score by a decay factor and remove zones that fall below a threshold or live too long. Color all surviving zones from weak to strong using a single gradient scale and a visual legend. How events are detected Detection lives in the Event Detection group. The script combines range, wick size, and optional volume filters into simple rules. Volatility filter ATR Length — computes a rolling ATR over your chosen window. This is the volatility baseline. Min range in ATRs — bar range (High–Low) must exceed this multiple of ATR for an event to be considered. This avoids tiny bars triggering zones. Wick filters For each bar, the script splits the candle into body and wicks: Upper wick = High minus the max(Open, Close). Lower wick = min(Open, Close) minus Low. Then it tests: Upper wick condition — upper wick must be larger than Min wick size in ATRs × ATR. Lower wick condition — lower wick must be larger than Min wick size in ATRs × ATR. Only bars with a sufficiently long wick relative to volatility qualify as candidate “liquidity events”. Volume filter Optionally, the script requires a volume spike: Use volume filter — if enabled, volume must exceed a rolling volume SMA by a configurable multiplier. Volume SMA length — period for the volume average. Volume spike multiplier — how many times above the SMA current volume needs to be. This lets you focus only on “heavy” tests of liquidity and ignore quiet bars. Event types Putting it together: Upper event (potential supply / long liquidation, etc.) Occurs when: Upper wick is large in ATR terms. Full bar range is large in ATR terms. Volume is above the spike threshold (if enabled). Lower event (potential demand / short liquidation, etc.) Symmetric conditions using the lower wick. How zones are constructed Zone geometry lives in Zone Geometry . When an event is detected, the script builds a rectangular box that anchors to the wick and extends in the appropriate direction by an ATR-based thickness. For upper (supply-type) zones Bottom of the zone = event bar high. Top of the zone = event bar high + Zone thickness in ATRs × ATR. The zone initially spans only the event bar on the x-axis, but is extended to the right as new bars appear while the zone is active. For lower (demand-type) zones Top of the zone = event bar low. Bottom of the zone = event bar low − Zone thickness in ATRs × ATR. Same extension logic: box starts on the event bar and grows rightward while alive. The result is a band around the wick that scales with volatility. On high-ATR charts, zones are thicker. On calm charts, they are narrower and more precise. Zone lifecycle, decay, and removal All lifecycle logic is controlled by the Decay & Lifetime group. Each zone carries: Score — a floating-point “importance” measure, starting at 1.0 when created. Direction — +1 for upper zones, −1 for lower zones. Birth index — bar index at creation time. Active flag — whether the zone is still considered unbroken and extendable. 1) Active vs broken Each confirmed bar, the script checks: For an upper zone , the zone is counted as “broken” when the close moves above the top of the zone. For a lower zone , the zone is counted as “broken” when the close moves below the bottom of the zone. When a zone breaks: Its right edge is frozen at the previous bar (no further extension). The zone remains on the chart, but is no longer updated by price interaction. It still decays in score until removal. This lets you see where a major level was overrun, while naturally fading its influence over time. 2) Time decay At each confirmed bar: Score := Score × Score decay per bar . A decay value close to 1.0 means very slow decay and long-lived zones. Lower values (closer to 0.9) mean faster forgetting and more current-focused zones. You are controlling how quickly the market “forgets” past events. 3) Age and score-based removal Zones are removed when either: Age in bars exceeds Max bars a zone can live . This is a hard lifetime cap. Score falls below Minimum score before removal . This trims zones that have decayed into irrelevance even if their age is still within bounds. When a zone is removed, its box is deleted and all associated state is freed to keep performance and visuals clean. Unified gradient and color logic Color control lives in Gradient & Color . The indicator uses a single continuous gradient for all zones, above and below price, so you can read strength at a glance without guessing what palette means what. Base colors You set: Mid strength color (green) — used for mid-level strength zones and as the “anchor” in the gradient. High strength color (red) — used for the strongest zones. Max opacity — the maximum visual opacity for the solid part of the gradient. Lower values here mean more solid; higher values mean more transparent. The script then defines three internal points: Clear end — same as mid color, but with a high alpha (close to transparent). Mid end — mid color at the strongest allowed opacity. High end — high color at the strongest allowed opacity. Strength normalization Within each update: The script finds the maximum score among all existing zones. Each zone’s strength is computed as its score divided by this maximum. Strength is clamped into . This means a zone with strength 1.0 is currently the strongest zone on the chart. Other zones are colored relative to that. Piecewise gradient Color is assigned in two stages: For strength between 0.0 and 0.5: interpolate from “clear” green to solid green. Weak zones are barely visible, mid-strength zones appear as solid green. For strength between 0.5 and 1.0: interpolate from solid green to solid red. The strongest zones shift toward the red anchor, clearly separating them from everything else. Strength scale legend To make the gradient readable, the indicator draws a vertical legend on the right side of the chart: About 15 cells from top (Strong) to bottom (Weak). Each cell uses the same gradient function as the zones themselves. Top cell is labeled “Strong”; bottom cell is labeled “Weak”. This legend acts as a fixed reference so you can instantly map a zone’s color to its approximate strength rank. What it plots At a glance, the indicator produces: Upper liquidity zones above price, built from large upper wick events. Lower liquidity zones below price, built from large lower wick events. All zones colored by relative strength using the same gradient. Zones that freeze when price breaks them, then fade out via decay and removal. A strength scale legend on the right to interpret the gradient. There are no extra lines, labels, or clutter. The focus is the evolving structure of liquidity zones and their visual strength. How to read the zones Bright red / bright green zones These are your current “major” liquidity areas. They have high scores relative to other zones and have not yet decayed. Expect meaningful reactions, absorption attempts, or spillover moves when price interacts with them. Faded zones Pale, nearly transparent zones are either old, decayed, or minor. They can still matter, but priority is lower. If these are in the middle of a long consolidation, they often become background noise. Broken but still visible zones Zones whose extension has stopped have been overrun by closing price. They show where a key level gave way. You can use them as context for regime shifts or failed attempts. Absence of zones A chart with few or no zones means that, under your current thresholds, there have not been strong enough liquidity events recently. Either tighten the filters or accept that recent price action has been relatively balanced. Use cases 1) Intraday liquidity hunting Run the indicator on lower timeframes (e.g., 1–15 minute) with moderately fast decay. Use the upper zones as potential sell reaction areas, the lower zones as potential buy reaction areas. Combine with order flow, CVD, or footprint tools to see whether price is absorbing or rejecting at each zone. 2) Swing trading context Increase ATR length and range/wick multipliers to focus only on major spikes. Set slower decay and higher max lifetime so zones persist across multiple sessions. Use these zones as swing inflection areas for larger setups, for example anticipating re-tests after breakouts. 3) Stop placement and invalidation For longs, place invalidation beyond a decaying lower zone rather than in the middle of noise. For shorts, place invalidation beyond strong upper zones. If price closes through a strong zone and it freezes, treat that as additional evidence your prior bias may be wrong. 4) Identifying trapped flows Upper zones formed after violent spikes up that quickly fail can mark trapped longs. Lower zones formed after violent spikes down that quickly reverse can mark trapped shorts. Watching how price behaves on the next touch of those zones can hint at whether those participants are being rescued or squeezed. Settings overview Event Detection Use volume filter — enable or disable the volume spike requirement. Volume SMA length — rolling window for average volume. Volume spike multiplier — how aggressive the volume spike filter is. ATR length — period for ATR, used in all size comparisons. Min wick size in ATRs — minimum wick size threshold. Min range in ATRs — minimum bar range threshold. Zone Geometry Zone thickness in ATRs — vertical size of each liquidity zone, scaled by ATR. Decay & Lifetime Score decay per bar — multiplicative decay factor for each zone score per bar. Max bars a zone can live — hard cap on lifetime. Minimum score before removal — score cut-off at which zones are deleted. Gradient & Color Mid strength color (green) — base color for mid-level zones and the lower half of the gradient. High strength color (red) — target color for the strongest zones. Max opacity — controls the most solid end of the gradient (0 = fully solid, 100 = fully invisible). Tuning guidance Fast, session-only liquidity Shorter ATR length (e.g., 20–50). Higher wick and range multipliers to focus only on extreme events. Decay per bar closer to 0.95–0.98 and moderate max lifetime. Volume filter enabled with a decent multiplier (e.g., 1.5–2.0). Slow, structural zones Longer ATR length (e.g., 100+). Moderate wick and range thresholds. Decay per bar very close to 1.0 for slow fading. Higher max lifetime and slightly higher min score threshold so only very weak zones disappear. Noisy, high-volatility instruments Increase wick and range ATR multipliers to avoid over-triggering. Consider enabling the volume filter with stronger settings. Keep decay moderate to avoid the chart getting overloaded with old zones. Notes This is a structural and contextual tool, not a complete trading system. It does not account for transaction costs, execution slippage, or your specific strategy rules. Use it to: Highlight where liquidity has recently been tested hard. Rank these areas by decaying strength. Guide your attention when layering in separate entry signals, risk management, and higher-timeframe context. Time-Decay Liquidity Zones is designed to keep your chart focused on where the market has most recently “cared” about price, and to gradually forget what no longer matters. Adjust the detection, geometry, decay, and gradient to fit your product and timeframe, and let the zones show you which parts of the tape still have unfinished business.
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