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Multi-Symbol and Multi-Timeframe Supertrend Screener [Pineify]Multi-Symbol and Multi-Timeframe Supertrend Screener Advanced Supertrend screener for TradingView that monitors 6 symbols across 4 timeframes simultaneously. Features customizable ATR periods, visual alerts, and color-coded trend direction displays for efficient market scanning. Key Features The Supertrend Screener is a comprehensive multi-symbol market monitoring tool that displays Supertrend indicator signals across multiple assets and timeframes in a single, organized table view. This screener eliminates the need to manually check individual charts by providing real-time trend analysis for up to 6 symbols across 4 different timeframes simultaneously. How It Works The screener utilizes the proven Supertrend indicator methodology, which combines Average True Range (ATR) and price action to determine trend direction. The core calculation involves: Computing the ATR using a customizable period (default: 10) Applying a multiplication factor (default: 3.0) to create dynamic support/resistance levels Determining trend direction based on price position relative to these levels Displaying results through color-coded cells with customizable text labels The indicator employs the request.security() function to fetch data from multiple symbols and timeframes, ensuring accurate cross-market analysis without chart switching. Trading Ideas and Insights This screener excels in several trading scenarios: Market Overview: Quickly assess overall market sentiment across major cryptocurrencies or forex pairs Trend Confirmation: Verify trend alignment across multiple timeframes before entering positions Divergence Spotting: Identify when shorter timeframes diverge from longer-term trends Opportunity Scanning: Locate assets showing consistent trend direction across all monitored timeframes Risk Management: Monitor multiple positions simultaneously to spot potential trend reversals The screener is particularly effective for swing traders and position traders who need to monitor multiple assets without constantly switching between charts. How Multiple Indicators Work Together While this screener focuses specifically on the Supertrend indicator, it incorporates several complementary technical analysis components: ATR Foundation: Uses Average True Range to adapt to market volatility, making the indicator responsive to current market conditions Multi-Timeframe Analysis: Combines signals from 1-minute, 5-minute, 10-minute, and 30-minute timeframes to provide comprehensive trend perspective Price Action Integration: The Supertrend calculation inherently incorporates price action by using high, low, and close values Volatility Adjustment: The ATR-based calculation ensures the indicator adapts to different volatility regimes across various assets The synergy between these elements creates a robust screening system that accounts for both momentum and volatility , providing more reliable trend identification than single-timeframe analysis. Unique Aspects Several features distinguish this screener from standard Supertrend implementations: Table-Based Display: Presents data in an organized, space-efficient format rather than overlay plots Customizable Visual Elements: Full control over text labels, colors, and background styling Multi-Asset Capability: Monitors 6 different symbols simultaneously without performance degradation Efficient Resource Usage: Optimized code structure minimizes calculation overhead Professional Presentation: Clean, institutional-grade visual design suitable for trading desks How to Use Symbol Configuration: Input your desired symbols in the Symbol section (default includes major crypto pairs) Timeframe Setup: Configure four timeframes for analysis (default: 1m, 5m, 10m, 30m) Supertrend Parameters: Adjust the Factor (sensitivity) and ATR Period according to your trading style Visual Customization: Set custom text labels and colors for up/down trends Market Analysis: Monitor the table for consistent signals across timeframes and symbols Interpretation Guide: - Green cells indicate uptrend (price above Supertrend line) - Red cells indicate downtrend (price below Supertrend line) - Look for alignment across multiple timeframes for stronger signal confidence Customization The screener offers extensive customization options: Factor Setting: Adjust sensitivity (higher values = less sensitive, fewer signals) ATR Period: Modify lookback period for volatility calculation Text Labels: Customize up/down trend display text Color Scheme: Full RGB color control for text and background elements Symbol Selection: Monitor any TradingView-supported symbols Timeframe Array: Choose any four timeframes for comprehensive analysis Conclusion The Supertrend Screener transforms traditional single-chart analysis into an efficient, multi-dimensional market monitoring system. By combining the reliability of the Supertrend indicator with multi-timeframe and multi-symbol capabilities, this tool empowers traders to make more informed decisions with greater market context. Whether you're managing multiple positions, scanning for new opportunities, or confirming trend direction before entries, this screener provides the comprehensive overview needed for professional trading operations. The clean interface and customizable features make it suitable for traders of all experience levels while maintaining the analytical depth required for serious market analysis. Perfect for day traders, swing traders, and anyone requiring efficient multi-market trend monitoring in a single view.
Pine Script® 인디케이터
Pineify의
TLM HTF CandlesTLM HTF Candles Higher timeframe candles displayed on your current chart, optimized for The Lab Model (TLM) trading methodology. What It Does Plots up to 6 HTF candles side-by-side on the right of your chart with automatic swing detection, expansion bias coloring, and a quick-reference info table. Watch multiple timeframes at once without switching charts. Swing Detection - Solid lines for confirmed swings, dashed for potential swings. Detects when HTF levels get swept and rejected. Expansion Bias - Candles colored green (bullish), red (bearish), or orange (conflicted) based on 3-candle patterns showing expected price expansion. HTF Info Table - Compact dashboard showing time to close, active swings, and expansion direction for all timeframes. Toggle dark/light mode. Equilibrium Lines - 50% midpoint from previous candle to current, great for mean reversion targets. Based on "ICT HTF Candles" by @fadizeidan - Heavily customized with swing analysis, expansion patterns, and info table for TLM trading concepts.
Pine Script® 인디케이터
whenislunch의
11
VWAP Deviation Scalper MTFVWAP Deviation Scalper MTF A multi-timeframe VWAP scalping indicator that combines Fibonacci deviation zones with trend filtering for cleaner entry signals. What it does: Uses anchored VWAP with customizable Fibonacci extensions (default 1.618 and 2.618) to identify reversal zones Filters trades using a weekly VWAP - only shows long signals above the weekly trend and shorts below it Colors candles green/red on signal bars for instant visual confirmation Highlights the channel between your main VWAP and weekly filter with subtle gradient fills Default settings: 12-hour VWAP anchor (adjustable to any timeframe) Weekly VWAP trend filter (can be toggled off) Minimum deviation threshold to filter out weak signals Clean visual design with optional Fib extensions Best for: Scalpers and day traders who want high-probability entries aligned with the higher timeframe trend. Works well on crypto and liquid markets on 5m-1h charts. The indicator includes alerts for both long and short entries, plus optional exit signals. All colors and settings are fully customizable.
Pine Script® 인디케이터
Hyru의
Bitcoin Cycle History Visualization [SwissAlgo]BTC 4-Year Cycle Tops & Bottoms Historical visualization of Bitcoin's market cycles from 2010 to present, with projections based on weighted averages of past performance. ----------------------------------------------------------------- CALCULATION METHODOLOGY Why Bottom-to-Bottom Cycle Measurement? This indicator defines cycles as bottom-to-bottom periods. This is one of several valid approaches to Bitcoin cycle analysis: - Focuses on market behavior (price bottoms) rather than supply schedule events (halving-to-halving) - Bottoms may offer good reference points for some analytical purposes - Tops tend to be extended periods that are harder to define precisely - Aligns with how some traditional asset cycles are measured and the timing observed in the broader "risk-on" assets category - Halving events are shown separately (yellow backgrounds) for reference - Neither halving-based nor bottom-based measurement is inherently superior Different analysts prefer different cycle definitions based on their analytical goals. This approach prioritizes observable market turning points. Cycle Date Definitions - Approximate monthly ranges used for each event (e.g., Nov 2022 bottom = Nov 1-30, 2022) - Cycle 1: Jul 2010 bottom → Jun 2011 top → Nov 2011 bottom - Cycle 2: Nov 2011 bottom → Dec 2013 top → Jan 2015 bottom - Cycle 3: Jan 2015 bottom → Dec 2017 top → Dec 2018 bottom - Cycle 4: Dec 2018 bottom → Nov 2021 top → Nov 2022 bottom - Future cycles will be added as new top/bottom dates become firm Duration Calculations - Days = timestamp difference converted to days (milliseconds ÷ 86,400,000) - Bottom → Top: days from cycle bottom to peak - Top → Bottom: days from peak to next cycle bottom - Bottom → Bottom: full cycle duration (sum of above) Price Change Calculations - % Change = ((New Price - Old Price) / Old Price) × 100 - Example: $200 → $19,700 = ((19,700 - 200) / 200) × 100 = 9,750% gain - Approximate historical prices used (rounded to significant figures) Weighted Average Formula Recent cycles weighted more heavily to reflect the evolved market structure: - Cycle 1 (2010-2011): EXCLUDED (too early-stage, tiny market cap) - Cycle 2 (2011-2015): Weight = 1x - Cycle 3 (2015-2018): Weight = 3x - Cycle 4 (2018-2022): Weight = 5x Formula: Weighted Avg = (C2×1 + C3×3 + C4×5) / (1+3+5) Example for Bottom→Top days: (761×1 + 1065×3 + 1066×5) / 9 = 1,032 days Projection Method - Projected Top Date = Nov 2022 bottom + weighted avg Bottom→Top days - Projected Bottom Date = Nov 2022 bottom + weighted avg Bottom→Bottom days - Current days elapsed compared to weighted averages - Warning symbol (⚠) shown when the current cycle exceeds the historical average Technical Implementation - Historical cycle dates are hardcoded (not algorithmically detected) - Dates represent approximate monthly ranges for each event - The indicator will be updated as the Cycle 5 top and bottom dates become confirmed - Updates require manual code maintenance - not automatic - Users should verify they're using the latest version for current cycle data ----------------------------------------------------------------- FEATURES - Background highlights for historical tops (red), bottoms (green), and halving events (yellow) - Data table showing cycle durations and price changes - Visual cycle boundary boxes with subtle coloring - Projected timeframes displayed as dashed vertical lines - Toggle on/off for each visual element - Customizable background colors ----------------------------------------------------------------- DISPLAY SETTINGS - Show/hide cycle tops, bottoms, halvings, data table, and cycle boxes - Customizable background colors for each event type - Clean, institutional-grade visual design suitable for analysis UPDATES & MAINTENANCE This indicator is maintained as new cycle events occur. When Cycle 5's top and bottom are confirmed with sufficient time elapsed, the code and projections will be updated accordingly. Check for the latest version periodically. OPEN SOURCE Code available for review, modification, and improvement. Educational transparency is prioritized. ----------------------------------------------------------------- IMPORTANT LIMITATIONS ⚠ EXTREMELY SMALL SAMPLE SIZE Based on only 4 complete cycles (2011-2022). In statistical analysis, this is insufficient for reliable predictions. ⚠ CHANGED MARKET STRUCTURE Bitcoin's market has fundamentally evolved since early cycles: - 2010-2015: Tiny market cap, retail-only, unregulated - 2024-2025: Institutional adoption, spot ETFs, regulatory frameworks, macro correlation The environment that created past patterns no longer exists in the same form. ⚠ NO PREDICTIVE GUARANTEE Historical patterns can and do break. Market cycles are not laws of physics. Past performance does not guarantee future results. The next cycle may not follow historical averages. ⚠ LENGTHENING CYCLE THEORY Some analysts believe cycles are extending over time (diminishing returns, maturing market). If true, simple averaging underestimates future cycle lengths. ⚠ SELF-FULFILLING PROPHECY RISK The halving narrative may be partially circular - it works because people believe it works. Sufficient changes in market structure or participant behavior can invalidate the pattern. ⚠ APPROXIMATE DATA Historical prices rounded to significant figures. Exact bottom/top dates vary by exchange. Month-long ranges are used for simplicity. EDUCATIONAL USE ONLY This indicator is designed for historical analysis and understanding Bitcoin's past behavior. It is NOT: - Trading advice or financial recommendations - A guarantee or prediction of future price movements - Suitable as a sole basis for investment decisions - A replacement for fundamental or technical analysis The projections show "what if the pattern continues exactly" - not "what will happen." Always conduct independent research, understand the risks, and consult qualified financial advisors before making investment decisions. Only invest what you can afford to lose.
Pine Script® 인디케이터
SwissAlgo의
Realtime rVOL w/ Candle Highlight [Blk0ut]About This Script Realtime rVOL Table + Candle Highlight (Presets, No Smoothing) By Blk0ut This tool visualizes real-time relative volume (rVOL) directly on your chart and in a compact table, helping traders identify where intraday participation deviates from the session’s baseline. Unlike standard volume overlays, this script recalculates rVOL dynamically through the session and highlights candles when participation exceeds configurable thresholds — providing a clear picture of ignition zones, volume surges, and potential breakout conditions. Core Features -Realtime rVOL tracking: Displays the current bar’s relative volume ratio compared to a moving baseline of recent bars. -Preset Profiles: Choose from four purpose-built profiles to quickly adjust the rVOL sensitivity to your trading horizon. ---------------------------------------------------------------------- *Opening Rush: 100-bar lookback, threshold 2.5* *RTH 5m: 30-bar lookback, threshold 1.2* *RTH 1hr: 50-bar lookback, threshold 1.5* *RTH 1d+: 100-bar lookback, threshold 1.5* ---------------------------------------------------------------------- RTH-only filter: Option to limit the moving average baseline to regular market hours (09:30–16:00). Candle highlighting: Optionally outlines candles when rVOL exceeds the active threshold to emphasize spikes visually in real time. Table display: Compact dashboard showing current rVOL, raw volume, average baseline, and preset parameters. How To Use Select a preset that matches your timeframe or trading style. Scalpers and open traders can use RTH 5m or Opening Rush. Position or swing traders may prefer RTH 1hr or RTH 1d+. Watch for rVOL readings above the threshold (and colored candle outlines). These often correspond to momentum ignition, news impact, or institutional activity. Combine with VWAP, ORB, or intraday key levels for best confirmation. Notes The table automatically adapts to your chart corner choice. Highlight thresholds can follow the preset or be set manually. Color intensity tiers (High/Medium/Low) can be tuned in settings. Designed for intraday and session-based traders who rely on live volume context rather than end-of-day stats.
Pine Script® 인디케이터
Blk0ut의
Delta Volume Heatmap🔥 Delta Volume Heatmap The Delta Volume Heatmap visualizes the real-time strength of per-bar delta volume — highlighting the imbalance between buying and selling pressure. Each column’s color intensity reflects how strong the delta volume deviates from its moving average and standard deviation. 🟩 Green tones = Buy-dominant activity (bullish imbalance) 🟥 Red tones = Sell-dominant activity (bearish imbalance) This tool helps traders quickly identify: Abnormal volume spikes Absorption or exhaustion zones Potential reversal or continuation signals
Pine Script® 인디케이터
ryanli38572331의
MA Paketi This advanced MA & ATR Channel Indicator allows you to monitor both short-term and long-term trends on the same chart. The script includes 9, 21, 50, 100, and 200-period moving averages (MAs) and also lets you add a custom MA of your choice. Around the 200 MA, a ±6 ATR channel dynamically defines volatility-based support and resistance zones. Key Features: 🔹 Five classic MAs (9, 21, 50, 100, 200) 🔹 User-defined custom MA (SMA, EMA, WMA, RMA, HMA options) 🔹 MA200-centered ±ATR channel (fully adjustable multiplier and period) 🔹 ATR-based dynamic volatility band 🔹 Alert conditions (notifies when price breaks above or below the channel) 🔹 Clean, colorful, and professional visual design This indicator helps you analyze trend direction, momentum shifts, and volatility-driven reversal zones simultaneously. Perfect for swing, scalp, and position traders alike.
Pine Script® 인디케이터
deeparanoya1의
Triple Gaussian Smoothed Ribbon [BOSWaves]Triple Gaussian Smoothed Ribbon – Adaptive Gaussian Framework Overview The Triple Gaussian Smoothed Ribbon is a next-generation market visualization framework built on the principles of Gaussian filtering - a mathematical model from digital signal processing designed to remove noise while preserving the integrity of the underlying trend. Unlike conventional moving averages that suffer from phase lag and overreaction to volatility spikes, Gaussian smoothing produces a symmetrical, low-lag curve that isolates meaningful directional shifts with exceptional clarity. Developed under the Adaptive Gaussian Framework, this indicator extends the classical Gaussian model into a multi-stage smoothing and visualization system. By layering three progressive Gaussian filters and rendering their interactions as a gradient-based ribbon field, it translates market energy into a coherent, visually structured trend environment. Each ribbon layer represents a progressively smoothed component of price motion, producing a high-fidelity gradient field that evolves in sync with real-time trend strength and momentum. The result is a uniquely fluid trend and reversal detection system - one that feels organic, adapts seamlessly across timeframes, and reveals hidden transitions in market structure long before traditional indicators confirm them. Theoretical Foundation The Gaussian filter, derived from the Gaussian function developed by Carl Friedrich Gauss in 1809, operates on the principle of weighted symmetry, assigning higher importance to central price data while tapering influence toward historical extremes following a bell-curve distribution. This symmetrical design minimizes phase distortion and smooths without introducing lag spikes — a stark contrast to exponential or linear filters that sacrifice temporal accuracy for responsiveness. By cascading three Gaussian stages in sequence, the indicator creates a multi-frequency decomposition of price action: The first stage captures immediate trend transitions. The second absorbs mid-term volatility ripples. The third stabilizes structural directionality. The final composite ribbon reflects the market’s dominant frequency - a smoothed yet reactive trend spine - while an independent, heavier Gaussian smoothing serves as a reference layer to gauge whether the primary motion leads or lags relative to broader market structure. This multi-layered Gaussian framework effectively replicates the behavior of a signal-processing filter bank: isolating meaningful cyclical movements, suppressing random noise, and revealing phase shifts with minimal delay. How It Works Triple Gaussian Core Price data is passed through three successive Gaussian smoothing stages, each refining the trend further and removing higher-frequency distortions. The result is a fluid, continuously adaptive baseline that responds naturally to directional changes without overshooting or flattening key inflection points. Adaptive Ribbon Architecture The indicator visualizes its internal dynamics through a five-layer gradient ribbon. Each layer represents a progressively delayed Gaussian curve, creating a color field that dynamically shifts between bullish and bearish tones. Expanding ribbons indicate accelerating momentum and trend conviction. Compressing ribbons reflect consolidation and volatility contraction. The smooth color gradient provides a real-time depiction of energy buildup or dissipation within the trend, making it visually clear when the market is entering a state of expansion, transition, or exhaustion. Momentum-Weighted Opacity Ribbon transparency adjusts according to normalized momentum strength. As trend force builds, colors intensify and layers become more opaque, signifying conviction. When momentum wanes, ribbons fade - an early visual cue for potential reversals or pauses in trend continuation. Candle Gradient Integration Optional candle coloring ties the chart’s candles to the prevailing Gaussian gradient, allowing traders to view raw price action and smoothed wave dynamics as a unified system. This integration produces a visually coherent chart environment that communicates directional intent instantly. Signal Detection Logic Directional cues emerge when the smoother, broader Gaussian curve crosses the faster-reacting Gaussian line, marking structural inflection points in the filtered trend. Bullish shifts : short-term momentum transitions upward through the long-term baseline after a localized trough. Bearish shifts : momentum declines through the baseline following a local peak. To maintain integrity in choppy markets, the framework applies a trend-strength and separation filter, which blocks weak or overlapping conditions where movement lacks conviction. Interpretation The Triple Gaussian Smoothed Ribbon provides a layered, intuitive read on market structure: Trend Continuation : Expanding ribbons with deep color intensity confirm directional strength. Reversal Phases : Color gradients flip direction, indicating a phase shift or exhaustion point. Compression Zones : Tight, pale ribbons reveal equilibrium phases often preceding breakouts. Momentum Divergence : Fading color intensity despite continued price movement signals weakening conviction. These transitions mirror the natural ebb and flow of market energy - captured through the Gaussian filter’s ability to represent smooth curvature without distortion. Strategy Integration Trend Following Engage during strong directional expansions. When ribbons widen and color gradients intensify, the trend is accelerating with high confidence. Reversal Identification Monitor for full gradient inversion and fading momentum opacity. These conditions often precede transitional phases and early reversals. Breakout Anticipation Flat, compressed ribbons signal low volatility and energy buildup. A sudden gradient expansion with renewed opacity confirms breakout initiation. Multi-Timeframe Alignment Use higher timeframes to establish directional bias and lower timeframes for entry during compression-to-expansion transitions. Technical Implementation Details Triple Gaussian Stack : Sequential smoothing stages produce low-lag, high-purity signals. Adaptive Ribbon Rendering : Five-layer Gaussian visualization for gradient-based trend depth. Momentum Normalization : Opacity dynamically tied to trend strength and volatility context. Consolidation Filter : Suppresses false signals in low-energy or range-bound conditions. Integrated Candle Mode : Optional color synchronization with underlying gradient flow. Alert System : Built-in notifications for bullish and bearish transitions. This structure blends the precision of digital signal processing with the readability of visual market analysis, creating a clean but information-rich framework. Optimal Application Parameters Asset Recommendations Cryptocurrency : Higher smoothing and sigma for stability under volatility. Forex : Balanced parameters for cycle identification and reduced noise. Equities : Moderate Gaussian length for responsive yet stable trend reads. Indices & Futures : Longer smoothing periods for structural confirmation. Timeframe Recommendations Scalping (1 - 5m) : Use shorter smoothing for fast reactivity. Intraday (15m - 1h) : Mid-length Gaussian chain for balance. Swing (4h - 1D) : Prioritize clarity and opacity-driven trend phases. Position (Daily - Weekly) : Longer smoothing to capture macro rhythm. Performance Characteristics Most Effective In : Trending markets with recurring volatility cycles. Transitional phases where early directional confirmation is crucial. Less Effective In: Ultra-low volume markets with erratic tick data. Random, micro-chop conditions with no structural flow. Integration Guidelines Pair with volatility or volume expansion tools for enhanced breakout confirmation. Use ribbon compression to anticipate volatility shifts. Align entries with gradient expansion in the dominant color direction. Scale position size relative to opacity strength and ribbon width. Disclaimer The Triple Gaussian Smoothed Ribbon – Adaptive Gaussian Framework is designed as a signal visualization and trend interpretation tool, not a standalone trading system. Its accuracy depends on appropriate parameter tuning, contextual confirmation, and disciplined risk management. It should be applied as part of a comprehensive technical or algorithmic trading strategy.
Pine Script® 인디케이터
BOSWaves의
3
Delta Volume Heatmap Delta Volume Heatmap The Delta Volume Heatmap visualizes the real-time strength of per-bar delta volume — highlighting the imbalance between buying and selling pressure. Each column’s color intensity reflects how strong the delta volume deviates from its moving average and standard deviation. 🟩 Green tones = Buy-dominant activity (bullish imbalance) 🟥 Red tones = Sell-dominant activity (bearish imbalance) This tool helps traders quickly identify: Abnormal volume spikes Absorption or exhaustion zones Potential reversal or continuation signals
Pine Script® 인디케이터
ryanli38572331의
Delta Volume Heatmap Delta Volume Heatmap The Delta Volume Heatmap visualizes the real-time strength of per-bar delta volume — highlighting the imbalance between buying and selling pressure. Each column’s color intensity reflects how strong the delta volume deviates from its moving average and standard deviation. Green tones = Buy-dominant activity (bullish imbalance) Red tones = Sell-dominant activity (bearish imbalance) This tool helps traders quickly identify: Abnormal volume spikes Absorption or exhaustion zones Potential reversal or continuation signals
Pine Script® 인디케이터
ryanli38572331의
Dominant DATR [CHE] Dominant DATR — Directional ATR stream with dominant-side EMA, bands, labels, and alerts Summary Dominant DATR builds two directional volatility streams from the true range, assigns each bar’s range to the up or down side based on the sign of the close-to-close move, and then tracks the dominant side through an exponential average. A rolling band around the dominant stream defines recent extremes, while optional gradient coloring reflects relative magnitude. Swing-based labels mark new higher highs or lower lows on the dominant stream, and alerts can be enabled for swings, zero-line crossings, and band breakouts. The result is a compact pane that highlights regime bias and intensity without relying on price overlays. Motivation: Why this design? Conventional ATR treats all range as symmetric, which can mask directional pressure, cause late regime shifts, and produce frequent false flips during noisy phases. This design separates the range into up and down contributions, then emphasizes whichever side is stronger. A single smoothed dominant stream clarifies bias, while the band and swing markers help distinguish continuation from exhaustion. Optional normalization by close makes the metric comparable across instruments with different price scales. What’s different vs. standard approaches? Reference baseline: Classic ATR or a basic EMA of price. Architecture differences: Directional weighting of range using positive and negative close-to-close moves. Separate moving averages for up and down contributions combined into one dominant stream. Rolling highest and lowest of the dominant stream to form a band. Optional normalization by close, window-based scaling for color intensity, and gamma adjustment for visual contrast. Event logic for swing highs and lows on the dominant stream, with label buffering and pruning. Configurable alerts for swings, zero-line crossings, and band breakouts. Practical effect: You see when volatility is concentrated on one side, how strong that bias currently is, and when the dominant stream pushes through or fails at its recent envelope. How it works (technical) Each bar’s move is split into an up component and a down component based on whether the close increased or decreased relative to the prior close. The bar’s true range is proportionally assigned to up or down using those components as weights. Each side is smoothed with a Wilder-style moving average. The dominant stream is the side with the larger value, recorded as positive for up dominance and negative for down dominance. The dominant stream is then smoothed with an exponential moving average to reduce noise and provide a responsive yet stable signal line. A rolling window tracks the highest and lowest values of the dominant EMA to form an envelope. Crossings of these bounds indicate unusual strength or weakness relative to recent history. For visualization, the absolute value of the dominant EMA is scaled over a lookback window and passed through a gamma curve to modulate gradient intensity. Colors are chosen separately for up and down regimes. Swing events are detected by comparing the dominant EMA to its recent extremes over a short lookback. Labels are placed when a prior bar set an extreme and the current bar confirms it. A managed array prunes older labels when the user-defined maximum is exceeded. Alerts mirror these events and also include zero-line crossings and band breakouts. The script does not force closed-bar confirmation; users should configure alert execution timing to suit their workflow. There are no higher-timeframe requests and no security calls. State is limited to simple arrays for labels and persistent color parameters. Parameter Guide Parameter — Effect — Default — Trade-offs/Tips ATR Length — Smoothing of directional true range streams — fourteen — Longer reduces noise and may delay regime shifts; shorter increases responsiveness. EMA Length — Smoothing of the dominant stream — twenty-five — Lower values react faster; higher values reduce whipsaw. Band Length — Window for recent highs and lows of the dominant stream — ten — Short windows flag frequent breakouts; long windows emphasize only exceptional moves. Normalize by Close — Divide by close price to produce a percent-like scale — false — Useful across assets with very different price levels. Enable gradient color — Turn on magnitude-based coloring — true — Visual aid only; can be disabled for simplicity. Gradient window — Lookback used to scale color intensity — one hundred — Larger windows stabilize the color scale. Gamma (lines) — Adjust gradient intensity curve — zero point eight — Lower values compress variation; higher values expand it. Gradient transparency — Transparency for gradient plots — zero, between zero and ninety — Higher values mute colors. Up dark / Up neon — Base and peak colors for up dominance — green tones — Styling only. Down dark / Down neon — Base and peak colors for down dominance — red tones — Styling only. Show zero line / Background tint — Visual references for regime — true and false — Background tint can help quick scanning. Swing length — Bars used to detect swing highs or lows — two — Larger values demand more structure. Show labels / Max labels / Label offset — Label visibility, cap, and vertical offset — true, two hundred, zero — Increase cap with care to avoid clutter. Alerts: HH/LL, Zero Cross, Band Break — Toggle alert rules — true, false, false — Enable only what you need. Reading & Interpretation The dominant EMA above zero indicates up-side dominance; below zero indicates down-side dominance. Band lines show recent extremes of the dominant EMA; pushes through the band suggest unusual momentum on the dominant side. Gradient intensity reflects local magnitude of dominance relative to the chosen window. HH/LL labels appear when the dominant stream prints a new local extreme in the current regime and that extreme is confirmed on the next bar. Zero-line crosses suggest regime flips; combine with structure or filters to reduce noise. Practical Workflows & Combinations Trend following: Consider entries when the dominant EMA is on the regime side and expands away from zero. Band breakouts add confirmation; structure such as higher highs or lower lows in price can filter signals. Exits and stops: Tighten exits when the dominant stream stalls near the band or fades toward zero. Opposite swing labels can serve as early caution. Multi-asset and multi-timeframe: Works across liquid assets and common timeframes. For lower noise instruments, reduce smoothing slightly; for high noise, increase lengths and swing length. Behavior, Constraints & Performance Repaint and confirmation: No security calls and no future-looking references. Swing labels confirm one bar later by design. Real-time crosses can change intra-bar; use bar-close alerts if needed. Resources: `max_bars_back` is two thousand. The script uses an array for labels with pruning, gradient color computations, and a simple while loop that runs only when the label cap is exceeded. Known limits: The EMA can lag at sharp turns. Normalization by close changes scale and may affect thresholds. Extremely gappy data can produce abrupt shifts in the dominant side. Sensible Defaults & Quick Tuning Starting point: ATR Length fourteen, EMA Length twenty-five, Band Length ten, Swing Length two, gradient enabled. Too many flips: Increase EMA Length and swing length, or enable only swing alerts. Too sluggish: Decrease EMA Length and Band Length. Inconsistent scales across symbols: Enable Normalize by Close. Visual clutter: Disable gradient or reduce label cap. What this indicator is—and isn’t This is a volatility-bias visualization and signal layer that highlights directional pressure and intensity. It is not a complete trading system and does not produce position sizing or risk management. Use it with market structure, context, and independent risk controls. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts. Best regards and happy trading Chervolino
Pine Script® 인디케이터
chervolino의
Trend Pivots Profile [BigBeluga]🔵 OVERVIEW The Trend Pivots Profile is a dynamic volume profile tool that builds profiles around pivot points to reveal where liquidity accumulates during trend shifts. When the market is in an uptrend , the indicator generates profiles at low pivots . In a downtrend , it builds them at high pivots . Each profile is constructed using lower timeframe volume data for higher resolution, making it highly precise even in limited space. A colored trendline helps traders instantly recognize the prevailing trend and anticipate which type of profile (bullish or bearish) will form. 🔵 CONCEPTS Pivot-Driven Profiles : Profiles are only created when a new pivot forms, aligning liquidity analysis with market structure shifts. Trend-Contextual : Profiles form at low pivots in uptrends and at high pivots in downtrends. Lower Timeframe Data : Volume and close values are pulled from smaller timeframes to provide detailed, high-resolution profiles inside larger pivot windows. Adaptive Bin Sizing : Bin size is automatically calculated relative to ATR, ensuring consistent precision across different markets and volatility conditions. Point of Control (PoC) : The highest-volume level within each profile is marked with a PoC line that extends until the next pivot forms. Trendline Visualization : A wide, semi-transparent line follows the rolling average of highs and lows, colored blue in uptrends and orange in downtrends. 🔵 FEATURES Pivot Length Control : Adjust how far back the script looks to detect pivots (e.g., length 5 → profiles cover 10 bars after pivot). Pivot Profile toggle : On → draw the filled pivot profile + PoC + pivot label. Off → hide profiles; show only PoC level (clean S/R mode). Trend Length Filter : Smooths trendline detection to ensure reliable up/down bias. Precise Volume Distribution : Volume is aggregated into bins, creating a smooth volume curve around the pivot range. PoC Extension : Automatically extends the most active price level until a new pivot is confirmed. Profile Visualization : Profiles appear as filled shapes anchored at the pivot candle, colored based on trend. Trendline Overlay : Thick, semi-transparent trendline provides visual guidance on directional bias. Automatic Cleanup : Old profiles are deleted once they exceed the chart’s capacity (default 25 stored profiles). 🔵 HOW TO USE Spotting Trend Liquidity : In an uptrend, monitor profiles at low pivots to see where buyers concentrated. In downtrends, use high-pivot profiles to spot sell-side pressure. Watch the PoC : The PoC line highlights the strongest traded level of the pivot structure—expect reactions when price retests it. Anticipate Trend Continuation/Reversal : Use the trendline (blue = bullish, orange = bearish) together with pivot profiles to forecast directional momentum. Combine with HTF Context : Overlay with higher timeframe structure (order blocks, liquidity zones, or FVGs) for confluence. Fine-Tune with Inputs : Adjust Pivot Length for sensitivity and Trend Length for smoother or faster trend shifts. 🔵 CONCLUSION The Trend Pivots Profile blends pivot-based structure with precise volume profiling. By dynamically plotting profiles on pivots aligned with the prevailing trend, highlighting PoCs, and overlaying a directional trendline, it equips traders with a clear view of liquidity clusters and directional momentum—ideal for anticipating reactions, pullbacks, or breakouts.
Pine Script® 인디케이터
BigBeluga의
5
CVD Pro – Smart Overlay + Signals (with Persist Mode)What this Indicator Does CVD Pro visualizes Cumulative Volume Delta (CVD) data directly on your main price chart — helping you detect real buying vs. selling pressure in real time. Unlike most CVD scripts that run in a separate subwindow, this one overlays price-mapped CVD curves on the candles themselves for better confluence with market structure and FVG zones. The script dynamically scales normalized CVD values to the price range and uses adaptive smoothing and deviation bands to highlight shifts in trader behavior. It also includes automatic bullish/bearish crossover signals, displayed as on-chart labels. ⚙️ Main Features ✅ Price-mapped CVD Overlay CVD is normalized (Z-score) and projected onto the price chart for easy visual correlation with price structure. ✅ Multi-Timeframe Presets Three sensitivity presets optimized for different chart environments: Strict (4H) → Best for macro trends and high-timeframe structure. Balanced (1H / 30m) → Great for active swing setups. Sensitive (15m) → Captures short-term intraday reversals. ✅ Dynamic Bands & Smoothing Deviation bands visualize statistical extremes in delta pressure — helping to identify exhaustion and divergence points. ✅ Smart Buy/Sell Signal Logic Automatic label triggers when the CVD Overlay crosses its smoothed baseline: 🟢 BULL LONG → Rising CVD above the mean (buyers in control). 🔴 BEAR SHORT → Falling CVD below the mean (sellers in control). ✅ Persist Mode Toggle to keep the last signal visible until a new one forms — ideal for traders who prefer clean chart annotations without noise. ✅ Clean, Minimal Overlay Everything happens directly on your chart — no extra windows, no clutter. Designed for use with Smart Money Concepts, Fair Value Gaps (FVGs), or volume imbalance setups. 🧩 Use Case CVD Pro is designed for traders who: Use Smart Money Concepts (SMC) or ICT-style trading Watch for FVG reactions, breaker blocks, and liquidity sweeps Need to confirm order flow direction or momentum strength Trade intraday or swing setups with precision entries and clear bias confirmation ⚡ Recommended Settings 4H / 1H: Use Strict mode for major structure and confirmation. 1H / 30m: Balanced mode for clear mid-term trend alignment. 15m: Sensitive mode to catch scalps and lower-TF shifts. 🧠 Pro Tips Combine with RSI or Market Structure Breaks (MSS) for additional confluence. A strong CVD divergence near a key FVG or 0.5–0.705 Fibonacci zone often signals reversal. Persistent CVD crossover + price structure break = high-probability entry. 🧩 Credits Created by Patrick S. ("Nova Labs") Concept inspired by professional order-flow analytics and adaptive Z-Score normalization. Would you like me to write a shorter “public summary” paragraph (for the short description at the top of TradingView, the one-liner users see before expanding)? It’s usually a 2–3 sentence hook like: “Overlay-based CVD indicator that merges volume delta with price structure. Detect true buying/selling pressure using adaptive normalization, deviation bands, and clean bullish/bearish crossover signals.”
Pine Script® 인디케이터
ironman15_37의
Aggression Bulbs v3.1 (Sessions + Bias, fixed)EYLONAggression Bulbs v3.2 (Sessions + Bias + Volume Surge) This indicator highlights aggressive buy and sell activity during the London and New York sessions, using volume spikes and candle body dominance to detect institutional momentum. ⚙️ Main Logic Compares each candle’s volume vs average volume (Volume Surge). Checks body size vs full candle range to detect strong directional moves. Uses an EMA bias filter to align signals with the current trend. Displays green bubbles for aggressive buyers and red bubbles for aggressive sellers. 🕐 Sessions London: 08:00–12:59 UTC+1 New York: 14:00–18:59 UTC+1 (Backgrounds: Yellow = London, Orange = New York) 📊 How to Read 🟢 Green bubble below bar → Aggressive BUY candle (strong demand). 🔴 Red bubble above bar → Aggressive SELL candle (strong supply). Bubble size = relative strength (volume × candle dominance). Use in confluence with key POI zones, volume profile, or delta clusters. ⚠️ Tips Use on 1m–15m charts for scalping or intraday analysis. Combine with your session bias or FVG zones for higher accuracy. Set alerts when score ≥ threshold to catch early momentum.
Pine Script® 인디케이터
EylonSherf의
KCP Support & Resistance [Dr.K.C.PRAKASH]ChatGPT said: This indicator “KCP Support & Resistance ” (Pine Script v5) is a multi-featured support & resistance tool that combines pivots, slope-based channels, Fibonacci options, and SMA200 trend reference. 🔎 Core Concept The script identifies pivot highs and lows and uses them to draw support and resistance levels on the chart. It allows you to visualize them in two ways: Horizontal lines (flat support/resistance at pivot values). Parallel slope-based lines (trend-adjusted, drawn with slope factor). ⚙️ Settings & Options Theme useDark: Switches to a dark-color palette with bright neon-style lines for better visibility on dark charts. Basic Settings length: Pivot length (bars used to detect swing high/low). lookback: How many past pivot points to use for plotting lines. Slope: Multiplier applied to slope calculations (for slanted trendline-style S/R). Extend Horizontal Lines Left?: Option to extend horizontal lines to both sides. Extend Parallel Lines Left?: Same for slope-based lines. Show/Hide Controls Show Parallel Lines?: Toggle diagonal support/resistance. Show Horizontal Lines?: Toggle flat levels. Show SMA 200 Line?: Toggle long-term SMA(200) reference. Hide Fibonacci Lines? / Show Fib Trend Line? / Show All Fibonacci Lines?: (reserved for Fib functionality). Line Colors Customizable line colors for parallel & horizontal high/low lines. If Dark Theme is enabled → Uses preset colors: Electric Blue (Resistance - Parallel Highs) Neon Green (Support - Parallel Lows) Deep Red/Pink (Horizontal Highs) Warm Yellow (Horizontal Lows) 📐 Logic & Calculations Pivot Detection Uses ta.pivothigh & ta.pivotlow with length to mark swing points. Stores them in arrays for drawing multiple levels. Slope Calculation Uses covariance/variance of price vs. time (bar_index) to estimate slope. Multiplied by Slope factor. Makes trend-following parallel support/resistance lines possible. Line Drawing Parallel lines: Slanted, based on pivot highs/lows + slope. Horizontal lines: Flat support & resistance levels extended across the chart. SMA200 Plot Plots SMA(200) for long-term trend direction. Colored white if EMA(200) > SMA(200), else yellow (trend bias visual). 📊 What You See on Chart Support & Resistance drawn dynamically from pivots. Choice of horizontal (classic S/R) or sloped (trend-following) lines. Dark theme colors → Electric blue, neon green, deep pink, warm yellow (if enabled). SMA200 reference line → Helps identify bullish/bearish long-term bias. Optional Fibonacci lines (future expansion).
Pine Script® 인디케이터
prakash1126의
Momentum Variance OscillatorWhat MVO measures: -PV (Price-Volume) Oscillator – how far price is from a volatility-scaled basis, then weighted by relative volume. - > 0 = bullish pressure; < 0 = bearish pressure. -|PV| larger ⇒ stronger momentum. -Signal line (EMA of PV) – a smoother track of PV; crossings flag momentum shifts. -Zero line gradient – instantly shows direction (greenish bull / reddish bear) and strength (paler → stronger). -Extreme bands (±obLevel) – “hot zone” thresholds; being beyond them = exceptional push. -Variance histogram – MACD-like view (PV minus slower PV-EMA) to see thrust building vs. fading. -(Optional) Bar coloring & background tint – paints price bars and/or the panel on key events so you can read the regime at a glance. -Auto-Tune – searches a grid of (obLevel, weakLvl) pairs and (optionally) auto-applies the best, ranked by CAGR vs. drawdown. Core signals & how to trade them: 1) Define the regime: -Bullish regime: PV above 0 and/or PV above Signal; zero line is in bull gradient. -Bearish regime: PV below 0 and/or PV below Signal; zero line is in bear gradient. -Action: Prefer trades with the regime (avoid fading strong color/strength unless you have a clear reversal setup). 2) Entries: Momentum entry: -Long: PV crosses above Signal while PV > 0. -Short: PV crosses below Signal while PV < 0. Breakout/acceleration: -Long add-on: PV crosses above +obLevel (extreme top) and holds. -Short add-on: PV crosses below −obLevel (extreme bottom) and holds. -Histogram confirm: Growing bars in your direction = thrust improving; shrinking/flip = thrust stalling. 3) Exits / risk: -Soft exit / tighten stops: PV loses the extreme and re-enters inside, or histogram fades/turns against you. -Hard exit / reverse: Opposite PV↔Signal crossover and PV crosses the zero line. -Weak zone filter: If |PV| < weakLvl, treat signals as lower quality (smaller size or skip). 4) Practical setup - Suggested defaults (good starting point): -Signal length: 26 -Volume power: 0.50 -obLevel (extreme): 2.00 -weakLvl: 0.75 -Show histogram & dots: On -Auto-Tune (recommended) -Turn Auto-Select Best ON. MVO will scan obLevel 1.50→3.00 (step 0.05) and weakLvl 0.50→1.00 (step 0.05), then use the top-ranked pair (CAGR/(1+MDD)). -If you want to see the top combos, enable the Optimizer Table (Top-3). 5) Visual options -Bar Colors: Regime+Strength – bars follow the zero-line gradient (great for quick read). -Extremes – paint only when beyond ±obLevel. -Cross Signals – paint only on the bar that crosses an extreme. -Background on breach: A one-bar tint when PV crosses an extreme. 6) Example playbook: Long setup: -Zero line shows bull gradient and PV > 0. -PV crosses above Signal (entry). -If PV drives above +obLevel, consider add-on; trail under the last minor swing or use ATR. -Exit/trim on PV crossing below Signal or histogram turning negative; flatten on a drop through 0. Short setup mirrors the above on the bear side. 7) Tips to avoid common traps: -Don’t fade strong extremes without clear confirmation (e.g., PV re-entering inside + histogram flip). -Respect the weak zone: if |PV| < weakLvl, signals are fragile—size down or wait. -Align with structure: higher-timeframe trend and SR improve expectancy. -Instrument personality matters: use Auto-Tune or re-calibrate obLevel/weakLvl across assets/timeframes. 8) Alerts you can set: -Bull Signal X – PV crossed above Signal -Bear Signal X – PV crossed below Signal -Bull Baseline X – PV crossed above 0 -Bear Baseline X – PV crossed below 0
Pine Script® 인디케이터
s3raphic333의