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ATR Levels - Current Candle Open [MTF]a further improvement from the first version of the script. My intent is to look at 4H ATR levels meanwhile being on 5m or 1m. Let me know if you have any questions or any suggestions to improve. Multi-Timeframe Support Anchor to any timeframe (e.g., 240 for 4H, D for Daily) Leave blank to use chart's timeframe ATR Levels 24 configurable levels (0.5 - 12.0 ATR) 4 groups for easy management Bull color (default: teal) / Bear color (default: orange) Adjustable line width Optional level labels Levels start at current HTF candle open, extend right Live Extension Display NOW row shows real-time UP/DN extension in ATR units Updates as price moves within current HTF candle Anchor Marker Line + crosshair at current HTF open Configurable colors (label bg, text, line) Adjustable label offset (0-100 bars) Statistics Table REACH / REACT / REACT % for levels 0.5-3.0 ATR Color-coded: green ≥50%, orange 30-50%, red <30% Position: bottom-right Size: Normal/Large/Huge
Pine Script® indicator
by timkamazik
ATR Levels - Previous Candle Open [MTF]a further improvement from the first version of the script. My intent is to look at 4H ATR levels meanwhile being on 5m or 1m. Let me know if you have any questions or any suggestions to improve Multi-Timeframe Support Anchor to any timeframe while viewing on a different chart timeframe Examples: View 4H ATR levels on 5m chart (set to 240), Daily on 1H (D), etc. Leave blank to use chart's timeframe ATR Levels 24 configurable levels from 0.5 to 12.0 ATR (in 0.5 increments) Organized in 4 groups for easy management Separate bull/bear colors Adjustable line width Optional level labels Previous Candle Zone Visual background box showing previous HTF candle's high-low range Configurable zone color and transparency Toggle on/off Extend Levels Setting 0 = Levels end exactly where previous candle closed -1 = Extend infinitely to the right 1-500 = Extend specific number of bars beyond candle close Anchor Marker Horizontal line + vertical crosshair at anchor point Configurable label background, text color, and line color Adjustable label offset (0-100 bars) Line extends to meet the label Statistics Table Tracks REACH (times price hit level) and REACT (times price reversed) REACT % color-coded: green ≥50%, orange 30-50%, red <30% Based on HTF candle data (100 bars) Configurable table size (Normal/Large/Huge) Positioned top-right
Pine Script® indicator
by timkamazik
Maor Beniash | Pro DashboardMB-PRO | Smart Info & Risk Dashboard Description The MB-PRO indicator is a minimalist dashboard designed to provide traders with rapid situational awareness and critical risk management data, without cluttering the chart. This tool consolidates fundamental and technical data into one organized corner, helping avoid common errors such as entering a trade right before an earnings report or incorrect stop-loss calculations. Key Features: Full Company Name: Displays the complete name of the entity. Market Cap: Shows the current market capitalization. Sector & Industry: Quickly identifies the sector and industry classification. Risk Management (ATR): Displays the Average True Range (14) in both absolute value and percentage (crucial for stop-loss sizing). Earnings Alert: A smart warning mechanism where the text automatically turns orange when the report date is approaching (default: 21 days, adjustable). This helps prevent holding positions during high-risk periods.
Pine Script® indicator
by maorbeniash
ATR Value Number Display Only (No line chart)OVERVIEW: The ATR (Average True Range) Value Display provides a clean, always-visible ATR reading on your chart. This essential volatility indicator helps traders set appropriate stop losses, position sizes, and profit targets based on current market volatility. KEY FEATURES: • Real-Time ATR Display: Shows current ATR value in a clean table format • Customizable Appearance: Fully customizable text and background colors • Adjustable Period: Standard 14-period default with full customization • Bottom-Right Positioning: Non-intrusive placement that doesn't obstruct price action • Tick Precision: Displays ATR value with accurate tick formatting • Lightweight: Minimal resource usage with maximum clarity HOW TO USE: 1. Add the indicator to any timeframe chart 2. Adjust ATR Length based on your trading style (14 is standard) 3. Customize colors to match your chart theme 4. Use ATR value to: - Set stop loss distances (e.g., 1.5x ATR) - Calculate position sizes based on risk tolerance - Identify increasing/decreasing volatility trends - Set realistic profit targets SETTINGS: • ATR Length: Calculation period (default: 14) • Text Color: Customize the ATR text color (default: white) • Box Color: Customize the background box color (default: semi-transparent blue) PERFECT FOR: ✓ Position sizing based on volatility ✓ Setting dynamic stop losses that adapt to market conditions ✓ Identifying high/low volatility periods ✓ Comparing volatility across different instruments ✓ Risk management and trade planning WHAT IS ATR? Average True Range (ATR) measures market volatility by calculating the average range between high and low prices over a specified period. Higher ATR values indicate higher volatility, while lower values suggest calmer markets. TIP: Use ATR on multiple timeframes to understand volatility across different trading horizons.
Pine Script® indicator
by CandleSyntax
Adaptive Trend & SL SystemAdaptive Trend & Risk System 1. The Problem: "Naked" Signals Most trend indicators on TradingView have a fatal flaw: they tell you when to enter, but they never tell you when to leave . They give you a "Buy" signal, but leave you guessing about where to place your Stop Loss or where to take profit. A signal without a risk management plan is not a strategy—it's a gamble. 2. The Solution: A Complete Trading System The Adaptive Trend & Risk System (ATS) is designed to be a complete "Turnkey" trading suite. It doesn't just generate signals; it manages the entire lifecycle of the trade. It combines three distinct market concepts into one clean overlay: Trend Detection: Uses a Hull Moving Average (HMA) baseline to determine the immediate market flow. Signal Filtering: Uses the Average Directional Index (ADX) to filter out "fakeouts" and weak trends. Dynamic Risk Management: Automatically calculates Volatility-Based (ATR) Stop Losses and Risk:Reward targets the moment a signal is generated. 3. How It Works (The Math) The script operates on a strict "State Machine" logic. It remembers the state of your trade bar-by-bar. The Entry (Strong Signals) A "STRONG" signal is only generated when two conditions are met: Price crosses the Trend Baseline. ADX (Trend Strength) is above the threshold (Default: 25). Note: Weak signals (small triangles) are shown when price crosses the baseline but ADX is low. These are risky and should be treated with caution. The Stop Loss (Red/Green Crosses ++++) Upon a strong entry, the script calculates a Stop Loss based on the Average True Range (ATR). Long SL: Low - (ATR * Multiplier) Short SL: High + (ATR * Multiplier) The "Hard" Stop: Unlike trailing stops that move every bar, this SL is fixed to the volatility at the moment of entry. It only disappears if price hits it (marked by an Orange X ) or if a reversal signal occurs. The Targets (Blue/Purple Dots oooo) The script projects two Take Profit levels based on your risk: TP1 (Blue Dots): 1.5x your Risk. TP2 (Purple Dots): 3.0x your Risk. Smart Visuals: If price hits TP1, the dots disappear to keep your chart clean, letting you focus on TP2. 4. How to Use This Indicator Step 1: Wait for a "STRONG" Label. Do not trade every crossover. Wait for the large triangle with the text label. Step 2: Place your Entry at the close of the signal bar. Step 3: Place your Physical Stop Loss exactly at the level of the Green/Red Crosses . Step 4: Place Limit Orders at the Blue Dots (TP1) and Purple Dots (TP2) . Management: If the Orange X appears, your Stop Loss was hit. Exit the trade immediately. If a Weak Signal (small triangle) appears against your trade, consider tightening your stops, as momentum may be fading. 5. Settings Guide Trend Baseline Length: Controls the sensitivity of the trend filter. Higher = Fewer signals, longer trends. ATR Length: Controls how "volatile" the Stop Loss calculation is. Stop Loss Multiplier: The "breathing room" for your trade. 2.0 is standard. 3.0 is for volatile assets like Crypto. TP Risk:Reward Ratios: Fully customizable. Default is 1.5R and 3.0R. Risk Warning & Disclaimer Trading financial assets involves a high level of risk and may not be suitable for all investors. The content, indicators, and signals provided by this script are for educational and informational purposes only and do not constitute financial, investment, or trading advice. The "Adaptive Trend & Risk System" is a technical analysis tool based on historical price data and mathematical formulas (ATR, ADX, Hull MA). Past performance is not indicative of future results. Market conditions can change rapidly, and no indicator can guarantee profits or prevent losses. By using this script, you acknowledge that: You are solely responsible for your own trading decisions and risk management. You should never trade with money you cannot afford to lose. The author of this script assumes no liability for any financial losses or damages incurred from the use of this tool. Always consult with a qualified financial advisor before making investment decisions.
Pine Script® indicator
by abgthecoder
Luminous Volatility Flux [Pineify]``` Luminous Volatility Flux - Dynamic ATR Bands with Hull Moving Average Baseline The Luminous Volatility Flux indicator is a sophisticated trend-following and volatility analysis tool that combines the responsiveness of the Hull Moving Average (HMA) with adaptive ATR-based bands that expand and contract based on real-time market volatility conditions. This indicator helps traders identify trend direction, volatility regimes, and potential breakout opportunities with high-probability entry signals. Key Features Hull Moving Average baseline for low-lag trend detection Dynamic volatility bands that breathe with market conditions Flux Factor system comparing short-term vs long-term ATR Volatility-filtered breakout signals to reduce false entries Gradient-filled zones for intuitive visual analysis Real-time bar coloring based on trend direction How It Works The indicator operates on three core calculation layers: 1. Hull Moving Average Baseline The foundation of this indicator is the Hull Moving Average, calculated using the formula: WMA(2*WMA(n/2) - WMA(n), sqrt(n)). Unlike traditional moving averages, the HMA dramatically reduces lag while maintaining smoothness. This makes it ideal for identifying trend changes earlier than conventional EMAs or SMAs. When the HMA is rising, the baseline turns green indicating bullish momentum; when falling, it turns red for bearish conditions. 2. Volatility Flux Factor The unique aspect of this indicator is the Flux Factor calculation. It compares short-term ATR (default 14 periods) against long-term ATR (default 100 periods) to determine the current volatility regime: Flux Factor > 1.0 = Volatility Expansion (market is more volatile than usual) Flux Factor < 1.0 = Volatility Compression (market is in a squeeze) This ratio creates a dynamic multiplier that causes the bands to expand during high volatility periods and contract during consolidation phases. 3. Dynamic Band Calculation The upper and lower bands are calculated as: Baseline ± (Short ATR × Multiplier × Flux Factor). This means the bands automatically widen when volatility increases and tighten during quiet market conditions, providing context-aware support and resistance levels. Trading Ideas and Insights Trend Following: Trade in the direction of the baseline color. Green baseline suggests looking for long opportunities; red baseline suggests short opportunities. Volatility Breakouts: The indicator plots "Flux" signals when price breaks above the upper band (bullish) or below the lower band (bearish) during volatility expansion phases. These signals indicate potential momentum continuation. Mean Reversion: During compression phases (tight bands), prices often revert to the baseline. Consider taking profits near the bands and re-entering near the baseline. Squeeze Detection: When bands are unusually tight (Flux Factor < 1), the market is coiling for a potential explosive move. Prepare for breakout trades. How Multiple Indicators Work Together This indicator integrates three distinct technical analysis concepts into a cohesive system: The Hull Moving Average provides the trend direction foundation with minimal lag. The dual ATR comparison (short vs long) creates the Flux Factor that measures relative volatility. The dynamic bands combine both elements, using the HMA as the center and ATR-based deviations that scale with the Flux Factor. The synergy works as follows: The HMA identifies the trend, the Flux Factor determines market regime (expansion vs compression), and the bands provide dynamic support/resistance levels. Breakout signals only trigger when all components align - price breaks the band AND volatility is expanding. This multi-layered approach filters out many false signals that would occur with static bands or simple moving average crossovers. Unique Aspects Unlike Bollinger Bands that use standard deviation, this indicator uses ATR ratio-based dynamic bands that better capture directional volatility The Flux Factor concept is original - comparing two ATR timeframes to create a volatility regime indicator Breakout signals are filtered by volatility expansion, reducing false signals during choppy, low-volatility conditions Gradient fills provide instant visual feedback on the strength of the bullish or bearish zones How to Use Add the indicator to your chart. It works on all timeframes and instruments. Observe the baseline color for overall trend direction (green = bullish, red = bearish). Watch for band expansion/contraction to gauge volatility regime. Look for "Flux" signals for potential breakout entries - these appear only during volatility expansion. Use the gradient zones to identify potential support (lower green zone) and resistance (upper red zone) areas. Customization Baseline Length (default: 24) - Controls the HMA period. Lower values = more responsive but noisier; higher values = smoother but more lag. ATR Length (default: 14) - Short-term ATR period for band calculation. Standard setting works well for most markets. Flux Multiplier (default: 2.0) - Controls band width. Increase for wider bands (fewer signals), decrease for tighter bands (more signals). Flux Sensitivity (default: 100) - Long-term ATR period for Flux Factor calculation. Higher values create a more stable volatility reference. Conclusion The Luminous Volatility Flux indicator offers traders a comprehensive view of market conditions by combining trend detection, volatility analysis, and signal generation into one elegant tool. Its adaptive nature makes it suitable for various market conditions - from trending markets where it identifies direction and momentum, to ranging markets where it highlights compression and potential breakout zones. The volatility-filtered signals help traders focus on high-probability setups while the visual gradient fills make chart analysis intuitive and efficient. Note: This indicator is designed as a technical analysis tool. Always use proper risk management and consider multiple factors before making trading decisions. Past performance does not guarantee future results. ```
Pine Script® indicator
by Pineify
Session Liquidity Sweep + Trend ConfirmationThis strategy aims to capture high-probability intraday trades by combining liquidity sweeps with a trend confirmation filter. It is designed for traders who want a systematic approach to trade breakouts during specific market sessions while controlling risk with ATR-based stops. How it Works: Session Filter: Trades are only considered during a defined session (default 9:30 - 11:00). This helps avoid low-volume periods that can lead to false signals. Trend Confirmation: The strategy uses a 50-period EMA to identify the market trend. Long trades are only taken in an uptrend, and short trades in a downtrend. Liquidity Sweep Detection: A long entry occurs when price dips below the prior N-bar low but closes back above it, indicating a potential liquidity sweep that stops being triggered before the trend continues upward. A short entry occurs when price spikes above the prior N-bar high but closes below it, signaling a potential sweep of stops before the downward trend resumes. ATR-Based Risk Management: Stop loss is calculated using the Average True Range (ATR) multiplied by a configurable factor (default 1.5). Take profit is set based on a risk-reward ratio (default 2.5x). Position Sizing: Default position size is 5% of equity per trade, making it suitable for risk-conscious trading. Inputs: Session Start/End (HHMM) Liquidity Lookback Period (number of bars to define prior high/low) ATR Length for stop calculation ATR Stop Multiplier Risk-Reward Ratio EMA Trend Filter Length Visuals: Prior Liquidity High (red) Prior Liquidity Low (green) EMA Trend (blue) Why Use This Strategy: Captures stop-hunt moves often triggered by larger market participants. Only trades with trend confirmation, reducing false signals. Provides automatic ATR-based stop loss and take profit for consistent risk management. Easy to adjust session time, ATR, EMA length, and risk-reward to suit your trading style. Important Notes: Assumes 0.05% commission and 1-pip slippage. Adjust according to your broker. Not financial advice; intended for educational, backtesting, or paper trading purposes. Always test strategies thoroughly before applying to live accounts.
Pine Script® strategy
by AIScripts
Bar-Close Confirmed SupertrendOverview This indicator is a Supertrend-style trend follower that confirms direction changes only after a bar closes. Trend flips are determined using the previous bar’s close relative to the bands, which helps avoid intrabar changes during live candles. How it works Computes ATR (Average True Range) Builds upper/lower bands using ATR and a multiplier Updates trend direction only when a prior candle confirms a break of the band Confirmation logic (bar-close based) Trend direction is updated using conditions based on the previous candle, such as: close > upper → confirm uptrend close < lower → confirm downtrend Because signals are confirmed on the prior bar, trend changes and markers are displayed only when confirmation exists. Signals Uptrend confirmation: prior candle closes above the upper band → bullish marker Downtrend confirmation: prior candle closes below the lower band → bearish marker Inputs ATR Length (default 10) ATR Multiplier (default 3.0) Notes This script is intended for bar-close workflows. Behavior and responsiveness may differ across markets and timeframes depending on volatility and chosen settings.
Pine Script® strategy
by AIScripts
ATR + STRAT Dashboard (LAST + DIR + REV) + Est MovesATR + STRAT Dashboard is a multi-timeframe market structure indicator built around The Strat and ATR context. It summarizes higher-timeframe control (buyers vs sellers), highlights key Strat conditions (inside/outside/2-1-2 style transitions), and flags common reversal candles (hammer / shooting star style signals) to help spot potential turns. It also includes ATR-based context and estimated move guidance so you can quickly gauge whether price has “room” to run or is extended. What it shows MTF Dashboard: quick read of trend/control across multiple timeframes Direction/Control: color-based bias (buyers vs sellers in charge) Reversal Flags: highlights reversal-style candles for awareness (not guaranteed) ATR Context + Estimated Moves: volatility-based framework for targets/expectations Non-repainting HTF behavior: designed to use closed higher-timeframe bars to reduce repaint surprises Note: This tool is for structure + context, not trade signals by itself. Always confirm with your plan/risk management.
Pine Script® indicator
by melanicdae
Quality-Controlled Trend StrategyOverview This strategy demonstrates a clean, execution-aware trend framework with fully isolated risk management. Entry conditions and risk logic are intentionally separated so risk parameters can be adjusted without altering signal behavior. All calculations are evaluated on confirmed bars to ensure backtest behavior reflects real-time execution. Design intent Many scripts mix entries and exits in ways that make results fragile or misleading. This strategy focuses on structural clarity by enforcing: confirmed-bar logic only fixed and transparent risk handling consistent indicator calculations one position at a time It is intended as a baseline framework rather than an optimized system. Trading logic (high level) Trend context EMA 50 vs EMA 200 defines directional bias Entry Price alignment with EMA 50 RSI used as a momentum confirmation, not as an overbought/oversold signal Risk management Stop-loss based on ATR Fixed risk–reward structure Risk logic is isolated from entry logic Editing risk without affecting signals All stop-loss and take-profit calculations are handled in a dedicated block. Users can adjust: ATR length stop-loss multiplier risk–reward ratio without modifying entry conditions. This allows controlled experimentation while preserving signal integrity. Usage notes Results vary by market, timeframe, and volatility conditions. This script is provided for testing and educational purposes and should be validated across multiple symbols and forward-tested before use in live environments.
Pine Script® strategy
by AIScripts
Volume-Adjusted CCI Trend [Alpha Extract]A sophisticated trend identification system that combines dual EMA direction analysis with volume-weighted normalization and CCI momentum filtering for comprehensive trend validation. Utilizing Volume RSI integration and standard deviation-based bands that expand and contract with volume characteristics, this indicator delivers institutional-grade trend detection with multi-layered confirmation requirements. The system's volume adjustment mechanism modulates signal sensitivity based on participation strength while CCI thresholds prevent false signals during weak momentum conditions, creating a robust trend-following framework with reduced whipsaw susceptibility. 🔶 Advanced Dual EMA Direction Engine Implements fast and slow exponential moving average comparison to establish primary trend direction bias with configurable period parameters for timeframe optimization. The system calculates trend direction as binary +1 (bullish when fast EMA exceeds slow EMA) or -1 (bearish when slow exceeds fast), providing foundational directional input that requires additional confirmation before generating actionable trend states. 🔶 Volume-Adjusted Normalization Framework Features sophisticated normalization calculation that measures price deviation from basis EMA, scales by standard deviation, then applies volume-weighted adjustment factor for participation-sensitive signal generation. The system calculates Volume RSI to quantify relative volume strength, converts to ratio format, and multiplies normalized deviation by volume factor scaled by impact parameter, creating signals that strengthen during high-volume confirmations and weaken during low-volume moves. // Volume-Adjusted Normalization Vol_Ratio = Volume_RSI / 50 Vol_Factor = 1 + (Vol_Ratio - 1) * Vol_Impact Dev = src - Basis_EMA Raw_Normalized = Dev / (StdDev * Multiplier) Vol_Adjusted_Norm = Raw_Normalized * Vol_Factor 🔶 CCI Momentum Filter Integration Implements Commodity Channel Index threshold system with configurable upper and lower bounds to validate trend strength and filter sideways market conditions. The system calculates standard CCI with adjustable length, compares against asymmetric thresholds (default +100 bullish, -50 bearish), and requires CCI confirmation in addition to EMA direction and normalized deviation before transitioning trend states, ensuring only high-conviction signals generate entries. 🔶 Multi-Layer Trend State Logic Provides intelligent trend state machine requiring simultaneous confirmation from EMA direction, volume-adjusted normalization threshold breach, and optional CCI momentum validation. The system maintains persistent trend state that only transitions when all three conditions align, preventing premature reversals during temporary retracements or low-volume fluctuations while capturing genuine trend changes with institutional-grade confirmation requirements. 🔶 Dynamic Volume Band Architecture Creates volatility-adjusted bands around basis EMA using standard deviation multiplied by volume factor, producing channels that widen during high-volume periods and contract during low-volume consolidations. The system applies identical volume adjustment to band calculations as normalization metric, ensuring visual envelope consistency with underlying signal logic and providing intuitive reference boundaries for trend-following price action. 🔶 Gradient Strength Visualization System Implements color intensity modulation based on normalized signal strength relative to threshold requirements, creating visual feedback that communicates trend conviction. The system calculates strength ratio by dividing absolute normalized value by threshold, caps at 1.0, and applies gradient interpolation from muted to vivid colors, instantly conveying whether current trend exhibits marginal or strong characteristics through line and candle coloring. 🔶 Volume RSI Calculation Engine Utilizes RSI methodology applied to volume series rather than price to quantify relative participation strength with normalization to 0.5-1.5 range for factor multiplication. The system processes volume through standard RSI calculation, divides by 50 to center around 1.0, and produces ratio values where readings above 1.0 indicate above-average volume and below 1.0 suggest below-average participation for signal adjustment purposes. 🔶 Asymmetric Threshold Configuration Features separate positive and negative normalization thresholds with independent CCI upper and lower bounds enabling optimization for bullish versus bearish signal generation characteristics. The system defaults to symmetric normalized thresholds (±0.2) but asymmetric CCI levels (+100/-50), recognizing that bullish momentum often requires stronger confirmation than bearish reversals in typical market structures. 🔶 Comprehensive Visual Integration Provides multi-dimensional trend visualization through color-coded basis line, volume-adjusted bands with gradient fills, trend-synchronized candle coloring, and transition signal labels. The system enables selective display toggling for each visual component while maintaining consistent color scheme and strength-based intensity across all elements for cohesive chart presentation without overwhelming information density. 🔶 Alert and Signal Framework Generates trend change alerts when state transitions occur with all confirmation requirements satisfied, providing notifications for bullish (transition to +1) and bearish (transition to -1) signals. The system implements state change detection through comparison with previous bar trend state, ensuring single alert per transition rather than continuous notifications during sustained trends. 🔶 Performance Optimization Architecture Employs efficient calculation methods with null value handling for Volume RSI initialization and nz() functions preventing calculation errors during early bars. The system includes intelligent state persistence maintaining previous trend during ambiguous conditions and optimized gradient calculations balancing visual quality with computational efficiency across extended historical periods. 🔶 Why Choose Volume-Adjusted CCI Trend ? This indicator delivers sophisticated trend identification through multi-layered confirmation combining directional EMA analysis, volume-weighted normalization, and momentum validation via CCI filtering. Unlike traditional trend indicators relying solely on price-based calculations, the volume adjustment mechanism ensures signals strengthen during high-participation moves and weaken during low-volume drifts, reducing false breakouts and choppy market whipsaws. The system's requirement for simultaneous EMA direction, normalized threshold breach, and CCI momentum confirmation creates institutional-grade signal quality suitable for systematic trend-following approaches across cryptocurrency, forex, and equity markets. The volume-adjusted bands provide dynamic support/resistance references while the gradient strength visualization enables instant assessment of trend conviction for position sizing and risk management decisions.
Pine Script® indicator
by AlphaExtract
ADR% / ATR / LoD dist. Table - V2ADR% / ATR / LoD Distance Table (V2) + ATR Range Lines is a simple “daily volatility dashboard” that helps you quickly judge how extended a stock is during the day and where “normal” daily movement zones sit relative to price. It’s designed to help you answer: “Has this stock already made most of its usual daily move?” “Am I chasing too late?” “Where are typical +ATR / −ATR stretch and pullback zones?” What you’ll see ADR% (Average Daily Range %) Shows the stock’s typical daily travel (low → high) as a percentage. Example: ADR% = 4% means the stock often swings ~4% in a normal day. ATR (Average True Range) Shows the stock’s typical daily movement in price units ($ / points). Example: ATR = 2.50 means it often moves about $2.50 per day. LoD dist. (Low of Day distance) Shows how far price is from today’s Low of Day, measured relative to ATR (as a %). Higher % = more extended away from the day’s low. Optional: ATR Range Lines (added in this version) You can enable two guide lines that extend to the right: ATR Up Line = Price + ATR ATR Down Line = Price − ATR These act like volatility guardrails to visualize “typical daily stretch” and “typical pullback” zones. ATR “Live vs Locked” option (important) Lock ATR to last completed day (no intraday updates): ON (Locked): Uses the last completed daily ATR (yesterday’s finished value). ✅ ATR stays constant all day while the market is live. OFF (Live): ATR can update intraday as today’s daily candle expands. ✅ ATR may change during the session. Either way, ATR is still based on your chosen ATR Length (lookback period). Locking simply prevents the ATR from drifting intraday. How to use it (Kullamägi-style principle) Kristjan Kullamägi’s momentum style emphasizes pressing strength when conditions are right, but also respecting extension and risk/reward. This tool helps you quantify that: If ADR%/ATR suggests the stock already moved near its usual daily range, chasing can be lower reward. The ATR lines help you visualize when price is in a “normal stretch zone” vs a better risk area. Locking ATR gives you stable intraday reference levels for cleaner execution. Tips Use ADR% to understand whether there’s likely “room” left in today’s move. Use LoD dist. to quickly gauge if price is already far from the day’s low (extended). Use ATR Up/Down Lines as a simple volatility framework for entries, add-ons, and risk planning. Keep Lock ATR ON if you prefer stable levels throughout the session. Credits Original indicator concept & script: ArmerSchlucker ADR% formula credit: MikeC / TheScrutiniser and GlinckEastwoot Modifications (V2): TradersPod Added optional ATR Up/Down lines extending to the right Added “Lock ATR to last completed day” option for stable intraday ATR reference Kept the original logic and purpose intact
Pine Script® indicator
by TradersPod
4
VDUB Bands - MTF WMA+ATR Volatility Lanes (6 Alerts)VDUB Bands draws volatility-scaled “trend lanes” around a Weighted Moving Average (WMA) using ATR (or a WMA of True Range). It can display up to four tiers (L1–L4), with higher tiers sourced from higher timeframes to show local structure → higher-timeframe structure on a single chart. ──────────────────────────────────────── 1. What it does (plain English) ──────────────────────────────────────── Think of each tier as a lane system around the trend: • Inner rails = “normal volatility lane” around the WMA • Outer rails = “extension / extreme zone” for that tier • Higher tiers (L3/L4) show bigger structure • Lower tiers (L1/L2) show active lane behavior Typical interpretation: • Price inside inner rails → normal variance around the trend lane • Between inner and outer → stretched, but not extreme • Outside outer rails → extended vs that tier’s volatility band ──────────────────────────────────────── 2) Why it’s useful (and why it’s not a mashup) ──────────────────────────────────────── This is not a bundle of unrelated indicators. Everything serves one cohesive purpose: • Visualize trend + volatility lanes across multiple time horizons • Keep rails consistent and readable (levels, fills, outlines) • Optional multi-timeframe aggregation for structure context • A compact 6-alert set to catch key transitions without alert spam ──────────────────────────────────────── 3) What you see on the chart ──────────────────────────────────────── For each level (L1–L4), you can show: • Upper/Lower Inner rails • Upper/Lower Outer rails • Optional center fill (between outer rails) = operating range • Optional MA line per tier (off by default to reduce clutter) • Base WMA line (L1 MA) if enabled Suggested workflow: • Start with L1 + L2 only • Add L3/L4 once you like the structure view • Use Dynamic Opacity if the chart feels crowded ──────────────────────────────────────── 4) How it works (transparent formula) ──────────────────────────────────────── For each tier: • MA = WMA(source, baseLen × levelMultiplier) • ATR_like = Wilder ATR (default) OR WMA(TrueRange, atrLen × levelMultiplier) Inner rails: • upperInner = MA + ATR_like × innerMult • lowerInner = MA - ATR_like × innerMult Outer rails: • upperOuter = MA + ATR_like × outerMult • lowerOuter = MA - ATR_like × outerMult Tier behavior: • L1 uses the chart timeframe • L2–L4 can use user-selected HTFs (defaults: 4H / D / W) or optional auto-selection ──────────────────────────────────────── 5) Multi-timeframe behavior + interpolation ──────────────────────────────────────── • L2–L4 use request.security() with lookahead OFF (no future data). • HTF bands naturally “step” when the HTF candle confirms. • Interpolate HTF Bands (optional): visually blends from the prior confirmed HTF value to the current confirmed HTF value to reduce stepping. This is display smoothing, not prediction. Repaint note: • If Live Interp (Repaints) is enabled, the HTF lines can update intrabar and may repaint. Keep it OFF for strict non-repainting behavior. ──────────────────────────────────────── 6) Auto-select L2/L3/L4 (optional) ──────────────────────────────────────── Two modes: A) Ladder (deterministic) • Picks “bigger” timeframes relative to the chart (simple and fast). B) Score (data-driven) • Tests candidate timeframes and scores them using: • Coverage: % of closes inside the OUTER band over Score Lookback • Width: average outer-band width as a fraction of MA • Targets: Target Coverage + Target Width • Weights: Coverage Weight + Width Weight Performance notes: • Score mode is heavier (many candidates). • “Lock auto-select after first pick” is recommended to reduce load and avoid platform limits. ──────────────────────────────────────── 7) Alerts (6 total, aggregated across L1–L4) ──────────────────────────────────────── Alerts trigger if ANY tier meets the condition: • Cross ABOVE an OUTER band • Cross BELOW an OUTER band • Cross ABOVE an INNER band • Cross BELOW an INNER band • Price is OUTSIDE ABOVE an OUTER band • Price is OUTSIDE BELOW an OUTER band These are intentionally aggregated to keep the alert count small while catching meaningful transitions. ──────────────────────────────────────── 8) Limitations & transparency ──────────────────────────────────────── • Indicator only (not a strategy). No performance claims. • MTF values update when the higher timeframe candle confirms. • Interpolation is visual smoothing; it does not forecast. • Non-standard chart types (Heikin Ashi/Renko/etc) may behave differently from standard candles. • If you enable repainting options, signals/levels may change intrabar. ──────────────────────────────────────── 9) Credits/reuse disclosure ──────────────────────────────────────── • Conceptual inspiration: VDUB and the community “VDUB_BINARY_PRO_3_V2” idea of WMA ± TR/ATR × multipliers. • This version is a reimplementation + extension, adding: o Multi-tier architecture (L1–L4) o Higher-timeframe sourcing + optional interpolation o Optional scoring-based timeframe selection o Dynamic opacity + streamlined plotting o Aggregated 6-alert set No code was copied directly from the older script; this is a rewritten implementation with additional features and different structure. www.tradingview.com
Pine Script® indicator
by actemplet
EDUVEST UTBOT ADJ - Adaptive ATR Trailing StopEDUVEST UTBOT ADJ - Adaptive ATR Trailing Stop with Session-Based Sensitivity ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ ORIGINALITY This indicator is an enhanced version of the classic UT Bot concept, featuring automatic session-based ATR sensitivity adjustment. Unlike the original UT Bot which uses a fixed sensitivity value, this version dynamically adapts to different trading sessions (Tokyo, London, New York) and automatically detects asset characteristics to optimize signal generation. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ WHAT IT DOES - Generates BUY and SELL signals based on ATR trailing stop crossovers with a moving average - Automatically adjusts sensitivity based on current trading session (Tokyo/London/NY) - Auto-detects asset type and applies optimized parameters for each instrument - Displays real-time session information and volatility status - Provides alert functionality with customizable cooldown periods ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ HOW IT WORKS 【Core Logic: ATR Trailing Stop】 The indicator calculates an ATR-based trailing stop using the formula: Trailing Stop = Price ± (Sensitivity × ATR) When price is above the trailing stop and rising, the stop trails below price. When price is below the trailing stop and falling, the stop trails above price. 【Signal Generation】 - BUY Signal: Price crosses above the trailing stop AND Moving Average crosses above the trailing stop - SELL Signal: Price crosses below the trailing stop AND Moving Average crosses below the trailing stop 【Session-Based Sensitivity Adjustment】 The indicator adjusts ATR sensitivity based on trading session (JST timezone): - Tokyo (08:00-15:00): Lower sensitivity (reduced by adjustment value) - typically quieter markets - London (15:00-23:00): Base sensitivity - moderate volatility - New York (23:00-08:00): Higher sensitivity (increased by adjustment value) - higher volatility 【Dynamic ATR Adjustment】 When enabled, the indicator compares current ATR to its smoothed average: - ATR Ratio = Current ATR / SMA(ATR, smoothing period) - Volatility Multiplier = 1.0 + (Sensitivity × (2.0 - ATR Ratio)) This reduces sensitivity during high volatility (fewer false signals) and increases sensitivity during low volatility (faster response). 【Auto Asset Detection】 The indicator automatically detects the traded instrument and applies optimized parameters: - Stable pairs (USDJPY, EURUSD, USDCHF): Base sensitivity 1.5-1.8 - Moderate pairs (AUDUSD, USDCAD, EURJPY): Base sensitivity 2.0-2.3 - Volatile pairs (GBPUSD): Base sensitivity 2.8 - Commodities (GOLD/XAUUSD): Base sensitivity 3.5 - Indices (NASDAQ/NAS100): Base sensitivity 4.0 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ HOW TO USE 【Recommended Settings】 - Timeframe: 15 minutes or higher (15M, 1H, 4H recommended) - Best performance on: Forex majors, Gold, NASDAQ - Enable "Auto Asset Detection" for optimized parameters 【Entry Rules】 - BUY: Enter long when green BUY label appears - SELL: Enter short when pink SELL label appears 【Session Panel】 The top-right panel displays: - Current trading session (Tokyo/London/NY) - Volatility status (High Chance/Medium Chance/Caution) - Mode (AUTO/MANUAL) 【Alert Setup】 1. Enable "Viewer Alert Display" in settings 2. Set cooldown period (default: 15 minutes) to avoid signal spam 3. Create alert with "Any alert() function call" condition 【Important Notes】 - This indicator does not repaint - signals are confirmed at bar close - Lower timeframes (1M, 5M) may generate excessive signals - Always use proper risk management and confirm with other analysis ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ SETTINGS OVERVIEW 🎯 Alert Settings - Viewer Alert Display: Enable/disable alert labels - Cooldown Function: Prevent rapid consecutive signals - Cooldown Time: Minutes between alerts (5-60) 🔧 Dynamic ATR Settings - Enable Dynamic ATR: Auto-adjust based on volatility - ATR Period: Calculation period (default: 14) - ATR Smoothing: Smoothing period for ratio calculation - Volatility Sensitivity: How much to adjust (0.1-1.0) 🕐 Session ATR Adjustment - Enable Time Adjustment: Session-based sensitivity - Show Session Info: Display session panel 📊 Asset Settings - Auto Asset Detection: Automatically optimize for instrument - Manual settings available when auto-detection is disabled ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ CREDITS Based on the original UT Bot concept by QuantNomad. Enhanced with session-based adaptation and auto-asset detection by EduVest. License: Mozilla Public License 2.0
Pine Script® indicator
by EduVest_doro
Zero-Lag ATR Trend [BackQuant]Zero-Lag ATR Trend Overview Zero-Lag ATR Trend is a volatility-adaptive trend-following overlay designed to identify directional market regimes with minimal delay while preserving structural clarity. The indicator combines a zero-lag moving average framework with a zero-lag volatility model to produce a trailing trend line that reacts quickly to meaningful price changes without becoming unstable or overly sensitive. Unlike conventional ATR-based trend tools that rely on lagging averages and delayed volatility estimates, this indicator applies zero-lag logic to both the trend centerline and the volatility calculation. The result is a trend structure that aligns more closely with real-time price action while still maintaining the discipline required for trend continuation trading. Core design philosophy The core idea behind Zero-Lag ATR Trend is simple: Reduce signal delay without sacrificing trend integrity. Adapt dynamically to changing volatility regimes. Provide a single, clean structure that defines trend direction, continuation, and invalidation. Instead of stacking multiple indicators, the script builds a complete trend framework from two tightly integrated components: a zero-lag trend spine and a zero-lag ATR trailing mechanism. Zero-lag trend spine The trend spine is constructed using a zero-lag moving average (ZLMA). This is achieved by applying a corrective step to a traditional moving average, effectively compensating for smoothing delay. Conceptually, the process works as follows: A base moving average is calculated from the selected price source. That moving average is then passed through a zero-lag correction. The correction pulls the line closer to current price without introducing noise. This produces a trend line that reacts faster than standard EMA, SMA, or HMA signals, particularly during early trend acceleration phases. Multiple moving-average types can be used inside the zero-lag framework, allowing traders to fine-tune responsiveness based on asset behavior and timeframe. Zero-lag volatility model Volatility is measured using True Range, but instead of applying classic ATR smoothing, the indicator uses a zero-lag smoothing pass on the True Range itself. This approach offers several advantages: Volatility expands more quickly during impulse moves. Volatility contracts faster during consolidations. Band width adjusts in near real-time to changing conditions. The smoothed zero-lag ATR is multiplied by a user-defined factor to create adaptive upper and lower boundaries around the trend spine. These boundaries define how much counter-movement price is allowed before the trend structure is invalidated. Volatility-aware trailing structure The trailing output is the defining feature of the indicator. It behaves as a one-directional trailing structure: In bullish conditions, the trailing line can only move upward. In bearish conditions, the trailing line can only move downward. Minor pullbacks inside the volatility envelope do not flip the trend. This logic prevents the indicator from reacting to shallow retracements and focuses instead on structural trend changes. Because the trailing behavior is volatility-scaled, the indicator remains stable during high volatility while still responding promptly during regime shifts. Trend flips and regime transitions Trend direction is determined by changes in the trailing structure itself rather than raw price crosses. A trend flip occurs only when price movement is strong enough, relative to current volatility, to force the trailing line to reverse direction. This means: Bullish flips represent genuine transitions into upward regimes. Bearish flips represent genuine transitions into downward regimes. Sideways noise is largely filtered out. As a result, the indicator is well suited for identifying medium-to-long trend phases rather than short-term oscillations. Visual structure and chart clarity The visual design is intentionally minimal and functional: The main trailing line is color-coded by trend direction. An optional ribbon or cloud reinforces directional bias. Optional candle coloring aligns price bars with the active trend. These elements allow traders to assess trend state instantly without interpreting multiple signals or overlays. How to use for trend following Trend bias Maintain a bullish bias while price holds above the trailing line. Maintain a bearish bias while price holds below the trailing line. Entries Trend flips can be used as initial directional entries. Pullbacks toward the trailing line often act as continuation opportunities. Momentum confirmation can be layered on top for additional confluence. Trend management The trailing line naturally functions as a dynamic stop reference. As long as price respects the trailing structure, the trend remains valid. A flip in direction signals a full regime transition rather than a minor correction. Why zero-lag matters for trend trading Traditional trend indicators often react late, especially during fast expansions, resulting in delayed entries and early exits. By reducing lag in both the trend calculation and the volatility model, Zero-Lag ATR Trend aims to capture a larger portion of directional moves while maintaining consistency and discipline. This makes it particularly effective for momentum-based trend following, breakout continuation strategies, and traders who prioritize staying aligned with dominant market structure rather than predicting reversals. Summary Zero-Lag ATR Trend is a complete trend-following framework built around responsiveness, adaptability, and clarity. Its zero-lag architecture allows it to respond earlier to meaningful price changes, while its volatility-aware trailing logic ensures that trends are only invalidated when structure truly breaks. The result is a clean, intuitive tool that supports disciplined trend participation across assets and timeframes.
Pine Script® indicator
by BackQuant
4
Dynamic ATR-based Renko Overlay - Non repaintingDaily ATR-Based Renko Overlay Overview This Pine Script v5 indicator creates a dynamic Renko overlay on your time-based charts (optimized for 1-minute timeframes), using the previous period's ATR from a user-specified higher timeframe (default: 1-hour) to determine brick sizes. Unlike traditional Renko charts, this is an overlay that draws Renko bricks directly on top of your existing candles, allowing you to combine the noise-filtering power of Renko with the full features of time-based charts. It's designed for traders who want Renko's trend-clarity benefits without switching chart types, especially useful for intraday trading in volatile markets like forex, stocks, or crypto. Key Features - Adaptive Brick Sizing: Brick size is calculated as a percentage (default 40%) of the previous period's ATR (Average True Range, default length 14) from the selected higher timeframe (default: 1-hour). This makes bricks volatility-adjusted—larger in high-vol periods to reduce noise, smaller in low-vol for more detail. - Periodic Recalculation: Resets brick size at the start of each new period based on the user-specified reset timeframe (default: daily), using the prior period's ATR from the chosen timeframe. This ensures relevance without unwanted disruptions. - Traditional Renko Logic: Uses 1-box reversal (a full brick against the trend to reverse). Bricks form based on closing prices, ignoring time and minor fluctuations. - Visual Style: Stepped lines with green (up) and red (down) fills for a box-like appearance. Semi-transparent for easy overlay on candles. - Customizable Inputs: - ATR Length: Adjust the ATR period (default: 14). - Percentage of ATR: Fine-tune brick sensitivity (default: 0.4 or 40%; range 0-1). - ATR Timeframe: Specify the timeframe for ATR calculation (default: "60" for 1-hour; enter as a string like "240" for 4-hour, "D" for daily, etc.). - Reset Timeframe: Specify the period for recalculating the brick size (default: "D" for daily; enter as a string like "W" for weekly, "M" for monthly, etc.). How It Works 1. Fetches ATR from the user-specified timeframe via `request.security` for higher-timeframe volatility data. 2. On new periods based on the reset timeframe (or first load), sets brick size to `percent * ATR_HTF`. 3. Tracks Renko "close" and "previous close" to calculate bricks: - Upward moves add green bricks in multiples of the size. - Downward moves add red bricks. - Reversals require a full brick against the direction. 4. Plots and fills create the overlay, updating on each 1-min bar close. Add it to a 1-minute chart for best results—bricks will adapt periodically while you retain full candle visibility. Why This Indicator is Helpful TradingView's native Renko charts are powerful but come with limitations that can frustrate serious traders: - No Bar Replay: Native Renko doesn't support TradingView's bar replay feature, making it hard to simulate historical trading sessions. - Inaccurate/Repainting Strategy Testing: Strategies on native Renko can repaint or lack precision due to the non-time-based nature, leading to unreliable backtests. - Limited Data History: Fast Renko timeframes (e.g., small bricks) often load very little historical data, restricting long-term analysis. This overlay solves these by building Renko on a time-based chart: - Full Bar Replay Support: Replay sessions as usual on your 1-min chart—the Renko follows along. - Accurate, Non-Repainting Testing: Test strategies on the underlying time chart without repainting issues, as Renko is derived from closes. - Unlimited Data Depth: Access TradingView's full historical data for 1-min charts (up to years of bars), not limited by Renko's data constraints. - Hybrid Analysis: Overlay Renko on candles to spot trends while using volume, indicators (e.g., RSI, MAs), or drawing tools that don't work well on native Renko. It's a game-changer for trend-following, breakout strategies, or filtering noise in short-term trades. No more switching charts—get the best of both worlds! Usage Tips - Best on 1-min charts for intraday precision, but experiment with others. - Tune the percentage lower (e.g., 0.3) for more bricks/sensitivity, higher (e.g., 0.5) for fewer/false-signal reduction. - Adjust the ATR timeframe to match your strategy—e.g., "240" for longer-term volatility or "15" for shorter. - Customize the reset timeframe for different recalculation frequencies—e.g., "W" for weekly resets to capture broader market shifts, or "240" for every 4 hours. - Combine with alerts: right now I am experimenting with 90 period EMA and the Renko brick pullbacks to find some EDGE If you find this useful, give it a thumbs up or share your tweaks in the comments. Feedback welcome—happy trading! 🚀
Pine Script® indicator
by LatterRainInvestments