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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® Indikator
von LatterRainInvestments
HOHO Oscillator Squeeze With AGAIG TurnsHOHO OSCILLATOR SQUEEZE WITH AGAIG TURN DETECTION ═════════════════════════════════════════════════════════════ OVERVIEW This powerful indicator combines three proven trading concepts into one visually stunning, highly accurate momentum and trend analysis tool: • HOHO (Hump Oscillator) - Multi-timeframe momentum oscillator • Squeeze Indicator - Bollinger Bands/Keltner Channel volatility compression detector • AGAIG (As Good As It Gets) Turn Detection - Intelligent price reversal identification The result is a comprehensive trading system that identifies high-probability entry and exit points with exceptional visual clarity. ═════════════════════════════════════════════════════════════ KEY FEATURES HOHO OSCILLATOR The foundation of this indicator is the Hump Oscillator, which creates distinctive wave patterns ("humps") above and below the zero line. These colorful columns provide instant visual feedback on momentum direction and strength: • Fast oscillator (thin columns) - Responsive to immediate price action • Slow oscillator (wide columns) - Confirms underlying trend momentum • Color-coded bars shift from bright (strong momentum) to dark (weakening momentum) • Fully customizable MA types (EMA/SMA) and lengths SQUEEZE DETECTION Integrated Bollinger Band and Keltner Channel analysis identifies volatility compression: • Yellow zero-line dots signal active squeeze conditions • Optional yellow background highlights compression zones • Anticipates explosive breakout moves • Adjustable BB and KC parameters for different markets and timeframes AGAIG TURN DETECTION Intelligent price reversal identification based on the "As Good As It Gets" methodology: • Automatically identifies significant market turning points • Adjustable sensitivity via "Turn Detection Length" (lower = more signals, higher = fewer signals) • Strength filter ensures only quality setups are marked (1-10 scale) • Eliminates noise and false signals common in traditional pivot indicators VISUAL SIGNALS • BUY arrows (green triangles) mark bullish reversal opportunities • SELL arrows (red triangles) mark bearish reversal opportunities • Text labels positioned for optimal readability • All arrows appear at actual turning points with configurable lookback offset FLEXIBLE CUSTOMIZATION • Choose between EMA or SMA for all moving average calculations • Adjustable oscillator lengths for different trading styles • Configurable turn detection sensitivity • Optional bar coloring based on Fast or Slow momentum • Clean, professional visual design ═════════════════════════════════════════════════════════════ HOW TO USE ENTRY SIGNALS Look for BUY/SELL arrows combined with: 1. Squeeze conditions (yellow markers) for highest-probability setups 2. Oscillator color confirmation (green for longs, red for shorts) 3. Turn strength that meets your minimum requirements TREND CONFIRMATION • Strong green humps = bullish momentum building • Strong red humps = bearish momentum building • Oscillator crossing zero = momentum shift • Color transitions = momentum strengthening or weakening VOLATILITY ANALYSIS • Yellow zero-line dots = consolidation/squeeze active • Expansion after squeeze = high-probability breakout opportunity • Combine with turn arrows for precise entry timing PARAMETER TUNING For scalping/day trading (5m-15m charts): • Turn Detection Length: 3-5 • Turn Strength: 2-4 For swing trading (1H-4H charts): • Turn Detection Length: 5-8 • Turn Strength: 3-5 For position trading (Daily charts): • Turn Detection Length: 8-15 • Turn Strength: 5-7 ═════════════════════════════════════════════════════════════ CREDITS & ATTRIBUTION This indicator builds upon the excellent work of: • HOHO (Hump Oscillator) - Original concept from ThinkorSwim community • Squeeze Indicator - Based on TTM Squeeze by John Carter • AGAIG (As Good As It Gets) - Turn detection methodology by NPR21 Converted and enhanced for TradingView with permission from the trading community. ═════════════════════════════════════════════════════════════ BEST PRACTICES ✓ Use on liquid markets (major indices, forex pairs, crypto) ✓ Combine with support/resistance levels for confluence ✓ Wait for oscillator color confirmation before entry ✓ Higher turn strength settings = fewer but higher-quality signals ✓ Squeeze breakouts offer exceptional risk/reward opportunities ✓ Practice proper risk management and position sizing ✗ Don't trade every arrow - wait for confluence ✗ Don't ignore the oscillator colors - they show momentum health ✗ Don't use overly sensitive settings in choppy markets ✗ Don't trade counter to the oscillator trend without strong confirmation ═════════════════════════════════════════════════════════════ WHAT MAKES THIS INDICATOR UNIQUE Unlike standalone momentum oscillators or simple pivot indicators, this tool synthesizes three proven methodologies into a single, coherent visual system. The combination of momentum analysis (HOHO), volatility detection (Squeeze), and intelligent turn identification (AGAIG) provides traders with a comprehensive view of market conditions and high-probability trading opportunities. The indicator's visual design uses color psychology and positioning to make complex market analysis instantly understandable at a glance - critical for fast-moving markets and quick decision-making. ═════════════════════════════════════════════════════════════ SUITABLE FOR • Day traders on 5m-30m timeframes • Swing traders on 1H-Daily timeframes • Scalpers seeking momentum confirmation • Options traders identifying reversal points • Futures traders (especially /ES, /NQ, /YM) • Forex traders on major pairs • Cryptocurrency traders
Pine Script® Indikator
von NPR21
Candle Anatomy (feat. Dr. Rupward)# Candle Anatomy (feat. Dr. Rupward) ## Overview This indicator dissects a single Higher Timeframe (HTF) candle and displays it separately on the right side of your chart with detailed anatomical analysis. Instead of cluttering your entire chart with analysis on every candle, this tool focuses on what matters most: understanding the structure and strength of the most recent HTF candle. --- ## Why I Built This When analyzing price action, I often found myself manually calculating wick-to-body ratios, estimating retracement levels, and trying to gauge candle strength. This indicator automates that process and presents it in a clean, visual format. The "Dr. Rupward" theme is just for fun – a lighthearted way to present technical analysis. Think of it as your chart's "health checkup." Don't take it too seriously, but do take the data seriously! --- ## How It Works ### 1. Candle Decomposition The indicator breaks down the HTF candle into three components: - **Upper Wick %** = (High - max(Open, Close)) / Range × 100 - **Body %** = |Close - Open| / Range × 100 - **Lower Wick %** = (min(Open, Close) - Low) / Range × 100 Where Range = High - Low ### 2. Strength Assessment Based on body percentage: - **Strong** (≥70%): High conviction move, trend likely to continue - **Moderate** (40-69%): Normal price action - **Weak** (<40%): Indecision, potential reversal or consolidation ### 3. Pressure Analysis - **Upper Wick** indicates selling pressure (bulls pushed up, but sellers rejected) - **Lower Wick** indicates buying pressure (bears pushed down, but buyers rejected) Thresholds: - ≥30%: Strong pressure - 15-29%: Moderate pressure - <15%: Weak pressure ### 4. Pattern Recognition The indicator automatically detects: | Pattern | Condition | |---------|-----------| | Doji | Body < 10% | | Hammer | Lower wick ≥ 60%, Upper wick < 10%, Body < 35% | | Shooting Star | Upper wick ≥ 60%, Lower wick < 10%, Body < 35% | | Marubozu | Body ≥ 90% | | Spinning Top | Body < 30%, Both wicks > 25% | ### 5. Fibonacci Levels Displays key Fibonacci retracement and extension levels based on the candle's range: **Retracement:** 0, 0.236, 0.382, 0.5, 0.618, 0.786, 1.0 **Extension:** 1.272, 1.618, 2.0, 2.618 **Negative Extension:** -0.272, -0.618, -1.0 These levels help identify potential support/resistance if price retraces into or extends beyond the analyzed candle. ### 6. Comparison with Previous Candle When enabled, displays the previous HTF candle (semi-transparent) alongside the current one. This allows you to: - Compare range expansion/contraction - Observe momentum shifts - Identify continuation or reversal setups --- ## Settings Explained ### Display Settings - **Analysis Timeframe**: The HTF candle to analyze (default: Daily) - **Offset from Chart**: Distance from the last bar (default: 15) - **Candle Width**: Visual width of the anatomy candle - **Show Previous Candle**: Toggle comparison view ### Fibonacci Levels - Toggle individual levels on/off based on your preference - Retracement levels for pullback analysis - Extension levels for target projection ### Diagnosis Panel - Shows pattern name, strength assessment, and expected behavior - Can be toggled off if you prefer minimal display --- ## Use Cases 1. **Swing Trading**: Analyze daily candle structure before entering on lower timeframes 2. **Trend Confirmation**: Strong body % with minimal upper wick = healthy trend 3. **Reversal Detection**: Hammer/Shooting Star patterns with high wick % 4. **Target Setting**: Use Fibonacci extensions for take-profit levels --- ## Notes - This indicator is designed for analysis, not for generating buy/sell signals - Works best on liquid markets with clean price action - The "diagnosis" is algorithmic interpretation, not financial advice - Combine with your own analysis and risk management --- ## About the Name "Dr. Rupward" is a playful persona I created – combining "Right" + "Upward" (my trading philosophy) with a doctor theme because we're "diagnosing" candle health. It's meant to make technical analysis a bit more fun and approachable. Enjoy! --- ## Feedback Welcome If you find this useful or have suggestions for improvement, feel free to leave a comment. Happy trading!
Pine Script® Indikator
von RUpward
Asset Volatility Heatmap [SeerQuant]Asset Volatility Heatmap (AVH) AVH is a cross-sectional volatility dashboard that ranks up to 30 assets and visualizes regime shifts as a time-series heatmap. It computes annualized historical volatility (%) on a fixed 1D basis, then maps each asset’s volatility into a configurable color spectrum for fast, intuitive scanning of risk conditions across cryptocurrencies. ⚙️ How It Works 1. Daily, Annualized Historical Volatility Each asset is measured on a fixed 1D timeframe (independent of your chart timeframe). Volatility is annualized and expressed in percentage terms. The user can choose between 1 of 4 volatility estimators: Close-Close (log returns stdev), Parkinson (H/L), Garman-Klass or Rogers-Satchell. 2. Heatmap A heatmap is plotted on the lower window (sorting is turned on by default). Each row represents a rank position. (Rank #1 highest vol ... Rank #30 lowest vol). This means that tokens will move between rows over time as their volatility changes. The asset labels show the current token sitting in each rank bucket. This setting can be turned off for more of a "random" look. 3. Color Scaling The user can select how the color range is normalized for visualization. n = (v - scaleMin) / (scaleMax - scaleMin) Cross-Section: Scales colors using the current bar’s cross-sectional min/max across the asset list. Rolling: Scales colors using a lookback window of cross-sectional ranges, so today’s values are judged relative to recent volatility history. Fixed: Uses your chosen Fixed Scale Min / Max for consistent benchmarking across time. 4. Contrast Control The Color Contrast control option changes how aggressively the palette emphasizes extremes (useful for making “risk spikes” pop vs keeping gradients smooth). 5. Summary Table + Composite Read The table highlights the highest vol / lowest vol token, along with average / median volatility, and a simple regime read (low / medium / high cross-sectional volatility). ✨ How to Use (Practical Reads) Spot risk-on / risk-off transitions: When the heatmap “heats up” broadly (more hot colors across ranks), cross-sectional volatility is expanding (higher dispersion / risk). Identify which names are driving the narrative: With sorting ON, the top ranks show which assets are currently the volatility leaders — often where attention, liquidity, and positioning stress is concentrated. Use it as a regime overlay: Low/steady colors across most ranks tends to align with calmer conditions; sharp bright bursts signal volatility events. ✨ Customizable Settings 1. Assets 30 symbol inputs (defaults to crypto, but works across markets) 2. Calculation Settings Length (lookback) Volatility Estimator (Close-Close / Parkinson / GK / RS) 3. Style Settings Color Scheme (SeerQuant / Viridis / Plasma / Magma / Turbo / Red-Blue) Color Scaling (Cross-Section / Rolling / Fixed) Scaling Lookback (for Rolling) Fixed Scale Min / Max (for Fixed) Color Contrast (emphasize extremes vs smooth gradients) Sort Heatmap (High → Low) Gradient Legend toggle Focus Mode (highlights the chart symbol if included) Ticker Label Right Padding 🚀 Features & Benefits Cross-sectional volatility at a glance (dispersion/risk conditions) Sortable rank heatmap for tracking “who’s hot” in volatility Multiple estimators for different volatility philosophies Flexible normalization (current cross-section, rolling context, or fixed benchmarks) Clean legend + summary stats for quick context 📌 Notes Sorting changes which token appears in each row over time (rows are rank buckets). Volatility is computed on 1D even if your chart is lower/higher timeframe. 📜 Disclaimer This indicator is for educational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Always consult a licensed financial advisor before making trading decisions. Use at your own risk.
Pine Script® Indikator
von SeerQuant
Intrabar Volume Flow IntelligenceIntrabar Volume Flow Intelligence: A Comprehensive Analysis: The Intrabar Volume Flow Intelligence indicator represents a sophisticated approach to understanding market dynamics through the lens of volume analysis at a granular, intrabar level. This Pine Script version 5 indicator transcends traditional volume analysis by dissecting price action within individual bars to reveal the true nature of buying and selling pressure that often remains hidden when examining only the external characteristics of completed candlesticks. At its core, this indicator operates on the principle that volume is the fuel that drives price movement, and by understanding where volume is being applied within each bar—whether at higher prices indicating buying pressure or at lower prices indicating selling pressure—traders can gain a significant edge in anticipating future price movements before they become obvious to the broader market. The foundational innovation of this indicator lies in its use of lower timeframe data to analyze what happens inside each bar on your chart timeframe. While most traders see only the open, high, low, and close of a five-minute candle, for example, this indicator requests data from a one-minute timeframe by default to see all the individual one-minute candles that comprise that five-minute bar. This intrabar analysis allows the indicator to calculate a weighted intensity score based on where the price closed within each sub-bar's range. If the close is near the high, that volume is attributed more heavily to buying pressure; if near the low, to selling pressure. This methodology is far more nuanced than simple tick volume analysis or even traditional volume delta calculations because it accounts for the actual price behavior and distribution of volume throughout the formation of each bar, providing a three-dimensional view of market participation. The intensity calculation itself demonstrates the coding sophistication embedded in this indicator. For each intrabar segment, the indicator calculates a base intensity using the formula of close minus low divided by the range between high and low. This gives a value between zero and one, where values approaching one indicate closes near the high and values approaching zero indicate closes near the low. However, the indicator doesn't stop there—it applies an open adjustment factor that considers the relationship between the close and open positions within the overall range, adding up to twenty percent additional weighting based on directional movement. This adjustment ensures that strongly directional intrabar movement receives appropriate emphasis in the final volume allocation. The adjusted intensity is then bounded between zero and one to prevent extreme outliers from distorting the analysis, demonstrating careful consideration of edge cases and data integrity. The volume flow calculation multiplies this intensity by the actual volume transacted in each intrabar segment, creating buy volume and sell volume figures that represent not just quantity but quality of market participation. These figures are accumulated across all intrabar segments within the parent bar, and simultaneously, a volume-weighted average price is calculated for the entire bar using the typical price of each segment multiplied by its volume. This intrabar VWAP becomes a critical reference point for understanding whether the overall bar is trading above or below its fair value as determined by actual transaction levels. The deviation from this intrabar VWAP is then used as a weighting mechanism—when the close is significantly above the intrabar VWAP, buying volume receives additional weight; when below, selling volume is emphasized. This creates a feedback loop where volume that moves price away from equilibrium is recognized as more significant than volume that keeps price near balance. The imbalance filter represents another layer of analytical sophistication that separates meaningful volume flows from normal market noise. The indicator calculates the absolute difference between buy and sell volume as a percentage of total volume, and this imbalance must exceed a user-defined threshold—defaulted to twenty-five percent but adjustable from five to eighty percent—before the volume flow is considered significant enough to register on the indicator. This filtering mechanism ensures that only bars with clear directional conviction contribute to the cumulative flow measurements, while bars with balanced buying and selling are essentially ignored. This is crucial because markets spend considerable time in equilibrium states where volume is simply facilitating position exchanges without directional intent. By filtering out these neutral periods, the indicator focuses trader attention exclusively on moments when one side of the market is demonstrating clear dominance. The decay factor implementation showcases advanced state management in Pine Script coding. Rather than allowing imbalanced volume to simply disappear after one bar, the indicator maintains decayed values using variable state that persists across bars. When a new significant imbalance occurs, it replaces the decayed value; when no significant imbalance is present, the previous value is multiplied by the decay factor, which defaults to zero point eight-five. This means that a large volume imbalance continues to influence the indicator for several bars afterward, gradually diminishing in impact unless reinforced by new imbalances. This decay mechanism creates persistence in the flow measurements, acknowledging that large institutional volume accumulation or distribution campaigns don't execute in single bars but rather unfold across multiple bars. The cumulative flow calculation then sums these decayed values over a lookback period, creating a running total that represents sustained directional pressure rather than momentary spikes. The dual moving average crossover system applied to these volume flows creates actionable trading signals from the underlying data. The indicator calculates both a fast exponential moving average and a slower simple moving average of the buy flow, sell flow, and net flow values. The use of EMA for the fast line provides responsiveness to recent changes while the SMA for the slow line provides a more stable baseline, and the divergence or convergence between these averages signals shifts in volume flow momentum. When the buy flow EMA crosses above its SMA while volume is elevated, this indicates that buying pressure is not only present but accelerating, which is the foundation for the strong buy signal generation. The same logic applies inversely for selling pressure, creating a symmetrical approach to detecting both upside and downside momentum shifts based on volume characteristics rather than price characteristics. The volume threshold filtering ensures that signals only generate during periods of statistically significant market participation. The indicator calculates a simple moving average of total volume over a user-defined period, defaulted to twenty bars, and then requires that current volume exceed this average by a multiplier, defaulted to one point two times. This ensures that signals occur during periods when the market is actively engaged rather than during quiet periods when a few large orders can create misleading volume patterns. The indicator even distinguishes between high volume—exceeding the threshold—and very high volume—exceeding one point five times the threshold—with the latter triggering background color changes to alert traders to exceptional participation levels. This tiered volume classification allows traders to calibrate their position sizing and conviction levels based on the strength of market participation supporting the signal. The flow momentum calculation adds a velocity dimension to the volume analysis. By calculating the rate of change of the net flow EMA over a user-defined momentum length—defaulted to five bars—the indicator measures not just the direction of volume flow but the acceleration or deceleration of that flow. A positive and increasing flow momentum indicates that buying pressure is not only dominant but intensifying, which typically precedes significant upward price movements. Conversely, negative and decreasing flow momentum suggests selling pressure is building upon itself, often preceding breakdowns. The indicator even calculates a second derivative—the momentum of momentum, termed flow acceleration—which can identify very early turning points when the rate of change itself begins to shift, providing the most forward-looking signal available from this methodology. The divergence detection system represents one of the most powerful features for identifying potential trend reversals and continuations. The indicator maintains separate tracking of price extremes and flow extremes over a lookback period defaulted to fourteen bars. A bearish divergence is identified when price makes a new high or equals the recent high, but the net flow EMA is significantly below its recent high—specifically less than eighty percent of that high—and is declining compared to its value at the divergence lookback distance. This pattern indicates that while price is pushing higher, the volume support for that movement is deteriorating, which frequently precedes reversals. Bullish divergences work inversely, identifying situations where price makes new lows without corresponding weakness in volume flow, suggesting that selling pressure is exhausted and a reversal higher is probable. These divergence signals are plotted as distinct diamond shapes on the indicator, making them visually prominent for trader attention. The accumulation and distribution zone detection provides a longer-term context for understanding institutional positioning. The indicator uses the bars-since function to track consecutive periods where the net flow EMA has remained positive or negative. When buying pressure has persisted for at least five consecutive bars, average intensity exceeds zero point six indicating strong closes within bar ranges, and volume is elevated above the threshold, the indicator identifies an accumulation zone. These zones suggest that smart money is systematically building long positions across multiple bars despite potentially choppy or sideways price action. Distribution zones are identified through the inverse criteria, revealing periods when institutions are systematically exiting or building short positions. These zones are visualized through colored fills on the indicator pane, creating a backdrop that helps traders understand the broader volume flow context beyond individual bar signals. The signal strength scoring system provides a quantitative measure of conviction for each buy or sell signal. Rather than treating all signals as equal, the indicator assigns point values to different signal components: twenty-five points for the buy flow EMA-SMA crossover, twenty-five points for the net flow EMA-SMA crossover, twenty points for high volume presence, fifteen points for positive flow momentum, and fifteen points for bullish divergence presence. These points are summed to create a buy score that can range from zero to one hundred percent, with higher scores indicating that multiple independent confirmation factors are aligned. The same methodology creates a sell score, and these scores are displayed in the information table, allowing traders to quickly assess whether a signal represents a tentative suggestion or a high-conviction setup. This scoring approach transforms the indicator from a binary signal generator into a nuanced probability assessment tool. The visual presentation of the indicator demonstrates exceptional attention to user experience and information density. The primary display shows the net flow EMA as a thick colored line that transitions between green when above zero and above its SMA, indicating strong buying, to a lighter green when above zero but below the SMA, indicating weakening buying, to red when below zero and below the SMA, indicating strong selling, to a lighter red when below zero but above the SMA, indicating weakening selling. This color gradient provides immediate visual feedback about both direction and momentum of volume flows. The net flow SMA is overlaid in orange as a reference line, and a zero line is drawn to clearly delineate positive from negative territory. Behind these lines, a histogram representation of the raw net flow—scaled down by thirty percent for visibility—shows bar-by-bar flow with color intensity reflecting whether flow is strengthening or weakening compared to the previous bar. This layered visualization allows traders to simultaneously see the raw data, the smoothed trend, and the trend of the trend, accommodating both short-term and longer-term trading perspectives. The cumulative delta line adds a macro perspective by maintaining a running sum of all volume deltas divided by one million for scale, plotted in purple as a separate series. This cumulative measure acts similar to an on-balance volume calculation but with the sophisticated volume attribution methodology of this indicator, creating a long-term sentiment gauge that can reveal whether an asset is under sustained accumulation or distribution across days, weeks, or months. Divergences between this cumulative delta and price can identify major trend exhaustion or reversal points that might not be visible in the shorter-term flow measurements. The signal plotting uses shape-based markers rather than background colors or arrows to maximize clarity while preserving chart space. Strong buy signals—meeting multiple criteria including EMA-SMA crossover, high volume, and positive momentum—appear as full-size green triangle-up shapes at the bottom of the indicator pane. Strong sell signals appear as full-size red triangle-down shapes at the top. Regular buy and sell signals that meet fewer criteria appear as smaller, semi-transparent circles, indicating they warrant attention but lack the full confirmation of strong signals. Divergence-based signals appear as distinct diamond shapes in cyan for bullish divergences and orange for bearish divergences, ensuring these critical reversal indicators are immediately recognizable and don't get confused with momentum-based signals. This multi-tiered signal hierarchy helps traders prioritize their analysis and avoid signal overload. The information table in the top-right corner of the indicator pane provides real-time quantitative feedback on all major calculation components. It displays the current bar's buy volume and sell volume in millions with appropriate color coding, the imbalance percentage with color indicating whether it exceeds the threshold, the average intensity score showing whether closes are generally near highs or lows, the flow momentum value, and the current buy and sell scores. This table transforms the indicator from a purely graphical tool into a quantitative dashboard, allowing discretionary traders to incorporate specific numerical thresholds into their decision frameworks. For example, a trader might require that buy score exceed seventy percent and intensity exceed zero point six-five before taking a long position, creating objective entry criteria from subjective chart reading. The background shading that occurs during very high volume periods provides an ambient alert system that doesn't require focused attention on the indicator pane. When volume spikes to one point five times the threshold and net flow EMA is positive, a very light green background appears across the entire indicator pane; when volume spikes with negative net flow, a light red background appears. These backgrounds create a subliminal awareness of exceptional market participation moments, ensuring traders notice when the market is making important decisions even if they're focused on price action or other indicators at that moment. The alert system built into the indicator allows traders to receive notifications for strong buy signals, strong sell signals, bullish divergences, bearish divergences, and very high volume events. These alerts can be configured in TradingView to send push notifications to mobile devices, emails, or webhook calls to automated trading systems. This functionality transforms the indicator from a passive analysis tool into an active monitoring system that can watch markets continuously and notify the trader only when significant volume flow developments occur. For traders monitoring multiple instruments, this alert capability is invaluable for efficient time allocation, allowing them to analyze other opportunities while being instantly notified when this indicator identifies high-probability setups on their watch list. The coding implementation demonstrates advanced Pine Script techniques including the use of request.security_lower_tf to access intrabar data, array manipulation to process variable-length intrabar arrays, proper variable scoping with var keyword for persistent state management across bars, and efficient conditional logic that prevents unnecessary calculations. The code structure with clearly delineated sections for inputs, calculations, signal generation, plotting, and alerts makes it maintainable and educational for those studying Pine Script development. The use of input groups with custom headers creates an organized settings panel that doesn't overwhelm users with dozens of ungrouped parameters, while still providing substantial customization capability for advanced users who want to optimize the indicator for specific instruments or timeframes. For practical trading application, this indicator excels in several specific use cases. Scalpers and day traders can use the intrabar analysis to identify accumulation or distribution happening within the bars of their entry timeframe, providing early entry signals before momentum indicators or price patterns complete. Swing traders can use the cumulative delta and accumulation-distribution zones to understand whether short-term pullbacks in an uptrend are being bought or sold, helping distinguish between healthy retracements and trend reversals. Position traders can use the divergence detection to identify major turning points where price extremes are not supported by volume, providing low-risk entry points for counter-trend positions or warnings to exit with-trend positions before significant reversals. The indicator is particularly valuable in ranging markets where price-based indicators produce numerous false breakout signals. By requiring that breakouts be accompanied by volume flow imbalances, the indicator filters out failed breakouts driven by low participation. When price breaks a range boundary accompanied by a strong buy or sell signal with high buy or sell score and very high volume, the probability of successful breakout follow-through increases dramatically. Conversely, when price breaks a range but the indicator shows low imbalance, opposing flow direction, or low volume, traders can fade the breakout or at minimum avoid chasing it. During trending markets, the indicator helps traders identify the healthiest entry points by revealing where pullbacks are being accumulated by smart money. A trending market will show the cumulative delta continuing in the trend direction even as price pulls back, and accumulation zones will form during these pullbacks. When price resumes the trend, the indicator will generate strong buy or sell signals with high scores, providing objective entry points with clear invalidation levels. The flow momentum component helps traders stay with trends longer by distinguishing between healthy momentum pauses—where momentum goes to zero but doesn't reverse—and actual momentum reversals where opposing pressure is building. The VWAP deviation weighting adds particular value for traders of liquid instruments like major forex pairs, stock indices, and high-volume stocks where VWAP is widely watched by institutional participants. When price deviates significantly from the intrabar VWAP and volume flows in the direction of that deviation with elevated weighting, it indicates that the move away from fair value is being driven by conviction rather than mechanical order flow. This suggests the deviation will likely extend further, creating continuation trading opportunities. Conversely, when price deviates from intrabar VWAP but volume flow shows reduced intensity or opposing direction despite the weighting, it suggests the deviation will revert to VWAP, creating mean reversion opportunities. The ATR normalization option makes the indicator values comparable across different volatility regimes and different instruments. Without normalization, a one-million share buy-sell imbalance might be significant for a low-volatility stock but trivial for a high-volatility cryptocurrency. By normalizing the delta by ATR, the indicator accounts for the typical price movement capacity of the instrument, making signal thresholds and comparison values meaningful across different trading contexts. This is particularly valuable for traders running the indicator on multiple instruments who want consistent signal quality regardless of the underlying instrument characteristics. The configurable decay factor allows traders to adjust how persistent they want volume flows to remain influential. For very short-term scalping, a lower decay factor like zero point five will cause volume imbalances to dissipate quickly, keeping the indicator focused only on very recent flows. For longer-term position trading, a higher decay factor like zero point nine-five will allow significant volume events to influence the indicator for many bars, revealing longer-term accumulation and distribution patterns. This flexibility makes the single indicator adaptable to trading styles ranging from one-minute scalping to daily chart position trading simply by adjusting the decay parameter and the lookback bars. The minimum imbalance percentage setting provides crucial noise filtering that can be optimized per instrument. Highly liquid instruments with tight spreads might show numerous small imbalances that are meaningless, requiring a higher threshold like thirty-five or forty percent to filter noise effectively. Thinly traded instruments might rarely show extreme imbalances, requiring a lower threshold like fifteen or twenty percent to generate adequate signals. By making this threshold user-configurable with a wide range, the indicator accommodates the full spectrum of market microstructure characteristics across different instruments and timeframes. In conclusion, the Intrabar Volume Flow Intelligence indicator represents a comprehensive volume analysis system that combines intrabar data access, sophisticated volume attribution algorithms, multi-timeframe smoothing, statistical filtering, divergence detection, zone identification, and intelligent signal scoring into a cohesive analytical framework. It provides traders with visibility into market dynamics that are invisible to price-only analysis and even to conventional volume analysis, revealing the true intentions of market participants through their actual transaction behavior within each bar. The indicator's strength lies not in any single feature but in the integration of multiple analytical layers that confirm and validate each other, creating high-probability signal generation that can form the foundation of complete trading systems or provide powerful confirmation for discretionary analysis. For traders willing to invest time in understanding its components and optimizing its parameters for their specific instruments and timeframes, this indicator offers a significant informational advantage in increasingly competitive markets where edge is derived from seeing what others miss and acting on that information before it becomes consensus.
Pine Script® Indikator
von jaydesaigu
ZLT - Date and Time MarkerPine Script v5 indicator called “DateTime Marker” that overlays on the chart and marks bars whose timestamp matches a user-defined schedule. When a bar “matches,” it can draw: a vertical line through the bar, a label with a time/date string, and a triangle marker below the bar (always plotted on matches). What you can configure Marker Type (the matching rule) You choose one of five modes: Every Minute Inputs: everyNMinutes (default 15), minuteOffset (default 0) Match condition: minute % everyNMinutes == minuteOffset Example with defaults: marks bars at :00, :15, :30, :45 each hour. Hourly Inputs: everyNHours (default 4), hourlyMinute (default 0) Match condition: hour % everyNHours == 0 AND minute == hourlyMinute Example with defaults: marks bars at 00:00, 04:00, 08:00, 12:00, 16:00, 20:00 (at minute 00). Daily Time Inputs: dailyHour (default 10), dailyMinute (default 0) Match condition: hour == dailyHour AND minute == dailyMinute Example with defaults: marks 10:00 every day. Weekly Day & Time Inputs: weekDay (default Tuesday), weeklyHour (default 16), weeklyMinute (default 0) It converts the weekday name to Pine’s dayofweek number via getDayNumber(). Match condition: dayofweek == targetDay AND hour == weeklyHour AND minute == weeklyMinute Example with defaults: marks Tuesday 16:00. Monthly Date & Time Inputs: monthlyDay (default 2), monthlyHour (default 23), monthlyMinute (default 0) Match condition: dayofmonth == monthlyDay AND hour == monthlyHour AND minute == monthlyMinute Example with defaults: marks the 2nd day of each month at 23:00. Visual settings showLine: whether to draw the vertical line. lineStyle: Solid/Dashed/Dotted (mapped to Pine line styles by getLineStyle()). lineColor, lineWidth: styling for the line (width is rounded to an integer because Pine line width is integer). showLabel: whether to draw a label. labelColor: background color of the label (text is forced white). What happens when a bar matches When isMatch becomes true on a bar: Vertical line: line.new() at that bar’s bar_index, from low to high, extended extend.both (so it spans the full chart vertically). Label: label.new() at the bar’s high, with mode-specific text: Minute/Hourly/Daily: "HH:mm" Weekly: "Tuesday HH:mm" (or whatever day selected) Monthly: "Day 2 - HH:mm" (or chosen day) Triangle marker: plotshape() draws a triangle up below the bar on every match (this happens regardless of showLine / showLabel). Important practical implications This uses the bar’s exchange/chart time (TradingView’s time, hour, minute, etc.), so results depend on the symbol/session and chart timezone settings. On timeframes coarser than 1 minute, “Every Minute” still checks only the bar’s timestamp minute value; it won’t mark intra-bar minutes that don’t exist as separate bars. Because it can create many objects (lines/labels), it sets max_labels_count=500. Lines are not capped here, so very dense marking can still clutter the chart. If you tell me your intended use (e.g., “mark NY open,” “mark every 15m candle close,” “mark macro events weekly”), I can point out whether the current matching logic fits that precisely or needs adjustments (sessions, timezones, avoiding duplicates, limiting lines, etc.).
Pine Script® Indikator
von Kaeya
ADR % RangesThis indicator is designed to visually represent percentage lines from the open of the day. The % amount is determined by X amount of the last days to create an average...or Average Daily Range (ADR). 1. ADR Percentage Lines: The core function of the script is to apply lines to the chart that represent specific percentage changes from the daily open. It first calculates the average over X amount of days and then displays two lines that are 1/3rd of that average. One line goes above the other line goes below. The other two lines are the full "range" of the average. These lines can act as boundaries or targets to know how an asset has moved recently. *Past performance is not indicative of current or future results. The calculation for ADR is: Step 1. Calculate Today's Range = DailyHigh - DailyLow Step 2. Store this average after the day has completed Step 3. Sum all day's ranges Step 4. Divide by total number of days Step 5. Draw on chart 2. Customizable Inputs: Users have the flexibility to customize the script through various inputs. This includes the option to display lines only for the current trading day (`todayonly`), and to select which lines are displayed. The user can also opt to show a table the displays the total range of previous days and the average range of those previous days. 3. No Secondary Timeframe: The ADR is computed based on whatever timeframe the chart is and does not reference secondary periods. Therefore the script cannot be used on charts greater than daily. This script is can be used by all traders for any market. The trader might have to adjust the "X" number of days back to compute a historical average. Maybe they only want to know the average over the past week (5 days) or maybe the past month (20 days).
Pine Script® Indikator
von GoodGains
4
MTF 20 SMA Table - DXY**MTF 20 SMA Table - Multi-Timeframe Trend Analysis Dashboard** **Overview:** This indicator provides a comprehensive multi-timeframe analysis dashboard that displays the relationship between price and the 20-period Simple Moving Average (SMA) across four key timeframes: 15-minute, 1-hour, 4-hour, and Daily. It's designed to help traders quickly identify trend alignment and potential trading opportunities across multiple timeframes at a glance. It's definitely not perfect but has helped me speed up my backtesting efforts as it's worked well for me eliminating flipping back and forth between timeframes excpet when I have confluence on the table, then I check the HTF. **How It Works:** The indicator creates a table overlay on your chart showing three critical metrics for each timeframe: 1. **Price vs SMA (Row 1):** Shows whether price is currently above (bullish) or below (bearish) the 20 SMA - Green = Price Above SMA - Red = Price Below SMA 2. **SMA Direction (Row 2):** Indicates the trend direction of the SMA itself over a lookback period - Green (↗ Rising) = Uptrend - Red (↘ Falling) = Downtrend - Gray (→ Flat) = Ranging/Consolidation 3. **Strength (Row 3):** Displays the distance between current price and the SMA in pips - Purple background = Strong move (>50 pips away) - Orange background = Moderate move (20-50 pips) - Gray background = Weak/consolidating (<20 pips) - Text color: Green for positive distance, Red for negative **Key Features:** - **Customizable Table Position:** Place the table anywhere on your chart (9 position options) - **Adjustable SMA Lengths:** Modify the SMA period for each timeframe independently (default: 20) - **Direction Lookback Settings:** Fine-tune how far back the indicator looks to determine SMA direction for each timeframe - **Flat Threshold:** Set the pip threshold for determining when an SMA is "flat" vs trending (default: 5 pips) - **DXY Optimized:** Calculations are calibrated for the US Dollar Index (1 pip = 0.01) **Best Use Cases:** 1. **Trend Alignment:** Identify when multiple timeframes align in the same direction for higher probability trades 2. **Divergence Spotting:** Detect when lower timeframes diverge from higher timeframes (potential reversals) 3. **Entry Timing:** Use lower timeframe signals while higher timeframes confirm overall trend 4. **Strength Assessment:** Gauge how extended price is from the mean (SMA) to avoid overextended entries **Settings Guide:** - **SMA Settings Group:** Adjust the SMA period for each timeframe (15M, 1H, 4H, Daily) - **SMA Direction Group:** Control lookback periods to determine trend direction - 15M: Default 5 candles - 1H: Default 10 candles - 4H: Default 15 candles - Daily: Default 20 candles - **Flat Threshold:** Set sensitivity for "flat" detection (lower = more sensitive to ranging markets) **Trading Strategy Examples:** 1. **Trend Following:** Look for all timeframes showing the same direction (all green or all red) 2. **Pullback Trading:** When Daily/4H are green but 15M/1H show red, wait for lower timeframes to flip green for entry 3. **Ranging Markets:** When multiple SMAs show "flat", consider range-bound strategies **Important Notes:** - This is a reference tool only, not a standalone trading system - Always use proper risk management and combine with other analysis methods - Best suited for trending instruments like indices and major forex pairs - Calculations are optimized for DXY but can be used on other instruments (pip calculations may need adjustment) **Credits:** Feel free to modify and improve this code! Suggestions for enhancements are welcome in the comments. --- **Installation Instructions:** 1. Add the indicator to your TradingView chart 2. Adjust the table position via settings to avoid overlap with price action 3. Customize SMA lengths and lookback periods to match your trading style 4. Monitor the table for timeframe alignment and trend confirmation --- This indicator is published as open source for the community to learn from and improve upon. Happy trading! 📈
Pine Script® Indikator
von stuartm69