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[blackcat] L3 Breakout IndicatorOVERVIEW This script provides a breakout detection system ( L3 Breakout Indicator) analyzing price momentum across timeframes. It identifies market entry/exit zones through dynamically scaled thresholds and visual feedback layers. FEATURES Dual momentum visualization: • Price Momentum Ratio Plot ( yellow ) • Filtered Signal Value Plot ( fuchsia ) Adjustable trade boundaries: ▪ Lower Threshold (default: 0.5) ▪ Upper Threshold (default: 2.9) ▪ Central boundary ( fixed at 2.0 ) Real-time visual feedback: ☀ Buy zone highlights ( lime ) on momentum crossover ⚠ Sell zone highlights ( red ) on momentum cross-under ♦ Dynamic convergence area between plots ( colored gradient ) HOW TO USE Interpretation Flow Monitor momentum plots relative to threshold lines Actionable signals occur when momentum crosses thresholds Persistent movement above/below central boundary indicates trend continuation Key Zones • Below 0.5: Potential buying opportunity zone • Above 2.0: Cautionary selling region • Between 0.5-2.0: Neutral consolidation phase Optimization Tips Adjust thresholds based on asset volatility Combine with volume metrics for confirmation Backtest parameters using historical data LIMITATIONS • Lag induced by 4-period EMA smoothing • Historical dependency in calculating extremes (lowest(100)/highest(250)) • No built-in risk management protocols (stop loss take profit) • Performance variability during sideways markets
Pine Script® indicator
by blackcat1402
13
US500 Institutional Bias - MultiTF Pro EditionUS500 Institutional Bias – Multi-Timeframe Pro Edition This custom-built TradingView indicator is designed to replicate an institutional-level bias model using multi-timeframe analysis, trend structure, and volume-based smart money signals. It combines over 20 high-value components into a single, weighted directional score — helping traders determine whether the environment favors long, short, or neutral positioning. ✅ Key Features & What It Does: 📈 Multi-Timeframe Trend Following Analyzes EMA structures (fast > mid > slow) on: M1 (intrabar) M5 M15 H1 1D Each timeframe contributes to the final bias based on its weight. Higher timeframes like H1 and D1 have stronger influence on the overall direction. 🧠 Bias Score Calculation The script calculates a composite Bias Score by summing weighted signals from: Moving Averages (Trend) MACD Histogram (Momentum) RSI & Stochastic (Mean Reversion) MFI, OBV, ADL, CMF (Volume Flow) TSI & ROC (True Strength) VWAP relationship Bollinger Band squeeze detection Donchian Channel positioning RSI divergence detection Relative Vigor Index & Volatility Index Seasonality (month-based behavior) 🔺 Smart Money & Liquidity Zones Highlights potential Order Blocks Detects Volume Spikes and Support/Resistance pivots 📊 Visual Outputs Color-coded chart background based on bias intensity Triangle signals for Strong Long or Strong Short zones Divergence dots when price and RSI disagree (early reversal alerts) Optional Bias Panel to show total score and market state 🧭 Use Case This tool is ideal for: Intraday scalpers and swing traders Confirming trend alignment across timeframes Avoiding trades during neutral or conflicting structure Combining technical and sentiment-based signals
Pine Script® indicator
by Feni_h
VIX Implied MovesKey Features: Three Timeframe Bands: Daily: Blue bands showing ±1σ expected move Weekly: Green bands showing ±1σ expected move 30-Day: Red bands showing ±1σ expected move Calculation Methodology: Uses VIX's annualized volatility converted to specific timeframes using square root of time rule Trading day convention (252 days/year) Band width = Price × (VIX/100) ÷ √(number of periods) Visual Features: Colored semi-transparent backgrounds between bands Progressive line thickness (thinner for shorter timeframes) Real-time updates as VIX and ES prices change Example Calculation (VIX=20, ES=5000): Daily move = 5000 × (20/100)/√252 ≈ ±63 points Weekly move = 5000 × (20/100)/√50 ≈ ±141 points Monthly move = 5000 × (20/100)/√21 ≈ ±218 points This indicator helps visualize expected price ranges based on current volatility conditions, with wider bands indicating higher market uncertainty. The probabilistic ranges represent 68% confidence levels (1 standard deviation) derived from options pricing.
Pine Script® indicator
by Marruq
[blackcat] L3 Composite Trading System with ControlOVERVIEW This indicator combines three distinct trading strategies into a unified decision-making framework. Utilizing KDJ oscillators, MACD divergence analysis, and adaptive signal filtering techniques, it provides actionable buy/sell signals validated against multi-period momentum trends and structural support/resistance levels. FEATURES Integrated KDJ oscillator with weighted moving average smoothing Dynamic MACD difference visualization normalized against price volatility Multi-layered confirmation process: • Momentum convergence/divergence tracking • Candle pattern recognition (Yellow/Fuchsia flags) • SMAs cross-validation (20/60-day thresholds) Adaptive risk controls via tunable α parameter adjustment HOW TO USE Set Alpha Period parameter matching market cycle characteristics Monitor primary trend direction via candle coloring (green/red zones) Confirm directional bias using: ▪️ KDJ-J line position relative to zero axis ▪️ MACD histogram slope persistence (>3 bar validation) Execute trades only when: • Buy/Sell labels align across both oscillator panels • Coincide with candle flag transitions (e.g., red→yellow) • Validate against concurrent SMA breakout conditions LIMITATIONS Lag inherent in EMA-based components during rapid reversals Requires minimum 60-bar history for full functionality Sensitive to fractal scaling due to normalization methods Does not account for liquidity/volume dynamics NOTES • Yellow/Fuchsia flags reflect relative strength changes vs prior session • SMA crossover validations have 16-bar lookback memory retention
Pine Script® indicator
by blackcat1402
5
PriorHourRangeLevels_v0.1PriorHourRangeLevels_v0.1 Created by dc_77 | © 2025 | Mozilla Public License 2.0 Overview "PriorHourRangeLevels_v0.1" is a versatile Pine Script™ indicator designed to help traders visualize and analyze price levels based on the prior hour’s range. It overlays key levels—High, Low, 75%, 50% (EQ), and 25%—from the previous hour onto the current price chart, alongside the current hour’s opening price. With customizable display options and time zone support, it’s ideal for intraday traders looking to identify support, resistance, and breakout zones. How It Works Hourly Reset: The indicator detects the start of each hour based on your chosen time zone (e.g., "America/New_York" by default). Prior Hour Range: It calculates the High and Low of the previous hour, then derives three additional levels: 75%: 75% of the range above the Low. EQ (50%): The midpoint of the range. 25%: 25% of the range above the Low. Current Hour Open: Displays the opening price of the current hour. Projection: Lines extend forward (default: 24 bars) to project these levels into the future, aiding in real-time analysis. Alerts: Triggers alerts when the price crosses any of the prior hour’s levels (High, 75%, EQ, 25%, Low). Key Features Time Zone Flexibility: Choose from options like UTC, New York, Tokyo, or London to align with your trading session. Visual Customization: Toggle visibility for each level (High, Low, 75%, EQ, 25%, Open, and Anchor). Adjust line styles (Solid, Dashed, Dotted), colors, and widths. Show or hide labels with adjustable sizes (Tiny, Small, Normal, Large). Anchor Line: A vertical line marks the start of the prior hour, with optional labeling. Alert Conditions: Set up notifications for price crossings to catch key moments without watching the chart. Usage Tips Use the High and Low as potential breakout levels, while 75%, EQ, and 25% act as intermediate support/resistance zones. Trend Confirmation: Watch how price interacts with the EQ (50%) level to gauge momentum. Session Planning: Adjust the time zone to match your market (e.g., "Europe/London" for FTSE trading). Projection Offset: Extend or shorten the lines (via "Projection Offset") based on your chart timeframe. Inputs Time Zone: Select your preferred market time zone. Anchor Settings: Show/hide the prior hour start line, style, color, width, and label. Level Settings: Customize visibility, style, color, width, and labels for Open, High, 75%, EQ, 25%, and Low. Display: Set projection length and label size.
Pine Script® indicator
by dc_77
1
Close Price PercentileClose Price Percentile with Range Distribution This indicator helps traders identify where the current price stands relative to its historical context using percentile ranking. It calculates and displays the current price's percentile position within a customizable lookback window (default: 365 periods). Key Features: • Percentile Ranking: Shows where the current price falls within its historical range (0-100%) • Customizable Thresholds: Set your own high/low percentile boundaries for analysis • Statistical Distribution: Tracks and displays the number and percentage of data points falling in each range (below threshold, between thresholds, above threshold) • Visual References: Includes dashed lines at threshold levels for easy visual reference • Clean Data Presentation: Organized table display in the top-right corner Perfect for: • Understanding price extremes • Identifying potential overbought/oversold conditions • Statistical analysis of price movements • Mean reversion strategies Fully customizable with adjustable window length, thresholds, and visual settings.
Pine Script® indicator
by cratygs
SessionRangeLevels_v0.1SessionRangeLevels_v0.1 Overview: SessionRangeLevels_v0.1 is a customizable Pine Script (v6) indicator designed to plot key price levels based on a user-defined trading session. It identifies the high and low of the session and calculates intermediate levels (75%, 50% "EQ", and 25%) within that range. These levels are projected forward as horizontal lines with accompanying labels, providing traders with dynamic support and resistance zones. The indicator supports extensive customization for session timing, time zones, line styles, colors, and more. Key Features: Session-Based Range Detection: Tracks the high and low prices during a specified session (e.g., 0600-0900) and updates them dynamically as the session progresses. Customizable Levels: Displays High, 75%, EQ (50%), 25%, and Low levels, each with independent toggle options, styles (Solid, Dashed, Dotted), colors, and widths. Session Anchor: Optional vertical line marking the session start, with customizable style, color, and width. Projection Offset: Extends level lines forward by a user-defined number of bars (default: 24) for future price reference. Labels: Toggleable labels for each level (e.g., "High," "75%," "EQ") with adjustable size (Tiny, Small, Normal, Large). Time Zone Support: Aligns session timing to a selected time zone (e.g., America/New_York, UTC, Asia/Tokyo, etc.). Alert Conditions: Triggers alerts when the price crosses any of the plotted levels (High, 75%, EQ, 25%, Low). Inputs: Session Time (HHMM-HHMM): Define the session range (e.g., "0600-0900" for 6:00 AM to 9:00 AM). Time Zone: Choose from options like UTC, America/New_York, Europe/London, etc. Anchor Settings: Toggle the session start line, adjust its style (default: Dotted), color (default: Black), and width (default: 1). Level Settings: High (Solid, Black, Width 2) 75% (Dotted, Blue, Width 1) EQ/50% (Dotted, Orange, Width 1) 25% (Dotted, Blue, Width 1) Low (Solid, Black, Width 2) Each level includes options to show/hide, set style, color, width, and label visibility. Projection Offset: Number of bars to extend lines (default: 24). Label Size: Set label size (default: Small). How It Works: The indicator detects the start and end of the user-defined session based on the specified time and time zone. During the session, it tracks the highest high and lowest low, updating the levels in real-time. At the session start, it plots the High, Low, and intermediate levels (75%, 50%, 25%), projecting them forward. Lines and labels dynamically adjust as new highs or lows occur within the session. Alerts notify users when the price crosses any active level. Usage: Ideal for traders who focus on session-based strategies (e.g., London or New York open). Use it to identify key price zones, monitor breakouts, or set targets. Customize the appearance to suit your chart preferences and enable alerts for real-time trading signals. Notes: Ensure your chart’s timeframe aligns with your session duration for optimal results (e.g., 1-minute or 5-minute charts for short sessions). The indicator overlays directly on the price chart for easy integration with other tools.
Pine Script® indicator
by dc_77
Dynamic Momentum Bands | AlphaAlgosDynamic Momentum Bands | AlphaAlgos Overview The Dynamic Momentum Bands indicator is an advanced technical analysis tool that combines multiple analytical techniques to provide a comprehensive view of market momentum and trend dynamics. By integrating RSI (Relative Strength Index), volatility analysis, and adaptive moving averages, this indicator offers traders a nuanced perspective on market conditions. Key Features Adaptive band calculation based on price momentum Integrated RSI-driven volatility scaling Multiple moving average type options (EMA, SMA, VWMA) Smooth, gradient-based band visualization Optional price bar coloring for trend identification Technical Methodology The indicator employs a sophisticated approach to market analysis: 1. Momentum Calculation Calculates RSI using a customizable length Uses RSI to dynamically adjust band volatility Scales band width based on distance from the 50 RSI level 2. Band Construction Applies a selected moving average type to the price source Calculates deviation using ATR (Average True Range) Smooths band edges for improved visual clarity Configuration Options Core Settings: Price Source: Choose the price data used for calculations RSI Length: Customize the RSI calculation period (1-50) Band Length: Adjust the moving average period (5-100) Volatility Multiplier: Fine-tune band width Band Type: Select between EMA, SMA, and VWMA Visual Settings: Bar Coloring: Toggle color-coded price bars Gradient-based band visualization Smooth color transitions for trend representation Trend Identification The indicator provides trend insights through: Color-coded bands (blue for bullish, pink for bearish) Smooth gradient visualization Optional price bar coloring Trading Applications Trend Following: - Use band position relative to price as trend indicator - Identify momentum shifts through color changes - Utilize gradient zones for trend strength assessment Volatility Analysis: Observe band width changes Detect potential breakout or consolidation periods Use RSI-driven volatility scaling for market context Best Practices Adjust RSI length to match trading timeframe Experiment with different moving average types Use in conjunction with other technical indicators Consider volatility multiplier for different market conditions This indicator is provided for informational purposes only. Always use proper risk management when trading. Past performance is not indicative of future results. Not financial Advise
Pine Script® indicator
by AlphaNatt
Multi-Anchored Linear Regression Channels [TANHEF]█ Overview: The 'Multi-Anchored Linear Regression Channels ' plots multiple dynamic regression channels (or bands) with unique selectable calculation types for both regression and deviation. It leverages a variety of techniques, customizable anchor sources to determine regression lengths, and user-defined criteria to highlight potential opportunities. Before getting started, it's worth exploring all sections, but make sure to review the Setup & Configuration section in particular. It covers key parameters like anchor type, regression length, bias, and signal criteria—essential for aligning the tool with your trading strategy. █ Key Features: ⯁ Multi-Regression Capability: Plot up to three distinct regression channels and/or bands simultaneously, each with customizable anchor types to define their length. ⯁ Regression & Deviation Methods: Regressions Types: Standard: Uses ordinary least squares to compute a simple linear trend by averaging the data and deriving a slope and endpoints over the lookback period. Ridge: Introduces L2 regularization to stabilize the slope by penalizing large coefficients, which helps mitigate multicollinearity in the data. Lasso: Uses L1 regularization through soft-thresholding to shrink less important coefficients, yielding a simpler model that highlights key trends. Elastic Net: Combines L1 and L2 penalties to balance coefficient shrinkage and selection, producing a robust weighted slope that handles redundant predictors. Huber: Implements the Huber loss with iteratively reweighted least squares (IRLS) and EMA-style weights to reduce the impact of outliers while estimating the slope. Least Absolute Deviations (LAD): Reduces absolute errors using iteratively reweighted least squares (IRLS), yielding a slope less sensitive to outliers than squared-error methods. Bayesian Linear: Merges prior beliefs with weighted data through Bayesian updating, balancing the prior slope with data evidence to derive a probabilistic trend. Deviation Types: Regressive Linear (Reverse): In reverse order (recent to oldest), compute weighted squared differences between the data and a line defined by a starting value and slope. Progressive Linear (Forward): In forward order (oldest to recent), compute weighted squared differences between the data and a line defined by a starting value and slope. Balanced Linear: In forward order (oldest to newest), compute regression, then pair to source data in reverse order (newest to oldest) to compute weighted squared differences. Mean Absolute: Compute weighted absolute differences between each data point and its regression line value, then aggregate them to yield an average deviation. Median Absolute: Determine the weighted median of the absolute differences between each data point and its regression line value to capture the central tendency of deviations. Percent: Compute deviation as a percentage of a base value by multiplying that base by the specified percentage, yielding symmetric positive and negative deviations. Fitted: Compare a regression line with high and low series values by computing weighted differences to determine the maximum upward and downward deviations. Average True Range: Iteratively compute the weighted average of absolute differences between the data and its regression line to yield an ATR-style deviation measure. Bias: Bias: Applies EMA or inverse-EMA style weighting to both Regression and/or Deviation, emphasizing either recent or older data. ⯁ Customizable Regression Length via Anchors: Anchor Types: Fixed: Length. Bar-Based: Bar Highest/Lowest, Volume Highest/Lowest, Spread Highest/Lowest. Correlation: R Zero, R Highest, R Lowest, R Absolute. Slope: Slope Zero, Slope Highest, Slope Lowest, Slope Absolute. Indicator-Based: Indicators Highest/Lowest (ADX, ATR, BBW, CCI, MACD, RSI, Stoch). Time-Based: Time (Day, Week, Month, Quarter, Year, Decade, Custom). Session-Based: Session (Tokyo, London, New York, Sydney, Custom). Event-Based: Earnings, Dividends, Splits. External: Input Source Highest/Lowest. Length Selection: Maximum: The highest allowed regression length (also fixed value of “Length” anchor). Minimum: The shortest allowed length, ensuring enough bars for a valid regression. Step: The sampling interval (e.g., 1 checks every bar, 2 checks every other bar, etc.). Increasing the step reduces the loading time, most applicable to “Slope” and “R” anchors. Adaptive lookback: Adaptive Lookback: Enable to display regression regardless of too few historical bars. ⯁ Selecting Bias: Bias applies separately to regression and deviation. Positive values emphasize recent data (EMA-style), negative invert, and near-zero maintains balance. (e.g., a length 100, bias +1 gives the newest price ~7× more weight than the oldest). It's best to apply bias to both (regression and deviation) or just the deviation. Biasing only regression may distort deviation visually, while biasing both keeps their relationship intuitive. Using bias only for deviation scales it without altering regression, offering unique analysis. ⯁ Scale Awareness: Supports linear and logarithmic price scaling, the regression and deviations adjust accordingly. ⯁ Signal Generation & Alerts: Customizable entry/exit signals and alerts, detailed in the dedicated section below. ⯁ Visual Enhancements & Real-World Examples: Optional on-chart table display summarizing regression input criteria (display type, anchor type, source, regression type, regression bias, deviation type, deviation bias, deviation multiplier) and key calculated metrics (regression length, slope, Pearson’s R, percentage position within deviations, etc.) for quick reference. █ Understanding R (Pearson Correlation Coefficient): Pearson’s R gauges data alignment to a straight-line trend within the regression length: Range: R varies between –1 and +1. R = +1 → Perfect positive correlation (strong uptrend). R = 0 → No linear relationship detected. R = –1 → Perfect negative correlation (strong downtrend). This script uses Pearson’s R as an anchor, adjusting regression length to target specific R traits. Strong R (±1) follows the regression channel, while weak R (0) shows inconsistency. █ Understanding the Slope: The slope is the direction and rate at which the regression line rises or falls per bar: Positive Slope (>0): Uptrend – Steeper means faster increase. Negative Slope (<0): Downtrend – Steeper means sharper drop. Zero or Near-Zero Slope: Sideways – Indicating range-bound conditions. This script uses highest and lowest slope as an anchor, where extremes highlight strong moves and trend lines, while values near zero indicate sideways action and possible support/resistance. █ Setup & Configuration: Whether you’re new to this script or want to quickly adjust all critical parameters, the panel below shows the main settings available. You can customize everything from the anchor type and maximum length to the bias, signal conditions, and more. Scale (select Log Scale for logarithmic, otherwise linear scale). Display (regression channel and/or bands). Anchor (how regression length is determined). Length (control bars analyzed): • Max – Upper limit. • Min – Prevents regression from becoming too short. • Step – Controls scanning precision; increasing Step reduces load time. Regression: • Type – Calculation method. • Bias – EMA-style emphasis (>0=new bars weighted more; <0=old bars weighted more). Deviation: • Type – Calculation method. • Bias – EMA-style emphasis (>0=new bars weighted more; <0=old bars weighted more). • Multiplier - Adjusts Upper and Lower Deviation. Signal Criteria: • % (Price vs Deviation) – (0% = lower deviation, 50% = regression, 100% = upper deviation). • R – (0 = no correlation, ±1 = perfect correlation; >0 = +slope, <0 = -slope). Table (analyze table of input settings, calculated results, and signal criteria). Adaptive Lookback (display regression while too few historical bars). Multiple Regressions (steps 2 to 7 apply to #1, #2, and #3 regressions). █ Signal Generation & Alerts: The script offers customizable entry and exit signals with flexible criteria and visual cues (background color, dots, or triangles). Alerts can also be triggered for these opportunities. Percent Direction Criteria: (0% = lower deviation, 50% = regression line, 100% = upper deviation) Above %: Triggers if price is above a specified percent of the deviation channel. Below %: Triggers if price is below a specified percent of the deviation channel. (Blank): Ignores the percent‐based condition. Pearson's R (Correlation) Direction Criteria: (0 = no correlation, ±1 = perfect correlation; >0 = positive slope, <0 = negative slope) Above R / Below R: Compares the correlation to a threshold. Above│R│ / Below│R│: Uses absolute correlation to focus on strength, ignoring direction. Zero to R: Checks if R is in the 0-to-threshold range. (Blank): Ignores correlation-based conditions. █ User Tips & Best Practices: Choose an anchor type that suits your strategy, “Bar Highest/Lowest” automatically spots commonly used regression zones, while “│R│ Highest” targets strong linear trends. Consider enabling or disabling the Adaptive Lookback feature to ensure you always have a plotted regression if your chart doesn’t meet the maximum-length requirement. Use a small Step size (1) unless relying on R-correlation or slope-based anchors as the are time-consuming to calculate. Larger steps speed up calculations but reduce precision. Fine-tune settings such as lookback periods, regression bias, and deviation multipliers, or trend strength. Small adjustments can significantly affect how channels and signals behave. To reduce loading time , show only channels (not bands) and disable signals, this limits calculations to the last bar and supports more extreme criteria. Use the table display to monitor anchor type, calculated length, slope, R value, and percent location at a glance—especially if you have multiple regressions visible simultaneously. █ Conclusion: With its blend of advanced regression techniques, flexible deviation options, and a wide range of anchor types, this indicator offers a highly adaptable linear regression channeling system. Whether you're anchoring to time, price extremes, correlation, slope, or external events, the tool can be shaped to fit a variety of strategies. Combined with customizable signals and alerts, it may help highlight areas of confluence and support a more structured approach to identifying potential opportunities.
Pine Script® indicator
by TanHef
7
Nasan Ultimate Health Index (NUHI)The Nasan Ultimate Health Index (NUHI) is a technical indicator designed to measure the relative health of a stock compared to a benchmark index or sector. By incorporating price action, volume dynamics, and volatility, NUHI provides traders with a clearer picture of a stock’s performance relative to the broader market. The NUHI is based on the idea that a stock’s relative strength and momentum can be assessed more effectively when adjusted for volume behavior and benchmark comparison. Instead of looking at price movement alone, this indicator factors in: The stock’s price trend (via EMA) Volume participation (green vs. red volume) and volume ratio - SMA(volume, 21)/ SMA(volume, 252) Volatility-adjusted performance (ATR-based scaling) Comparison with a selected benchmark (e.g., SPX, NDX, sector ETFs) This results in a normalized and comparative score that helps traders identify outperforming, neutral, and underperforming stocks within a specific market environment. The NUHI is constructed using the following elements: 1️⃣ Stock Raw Score (Unadjusted Momentum) The exponential moving average (EMA) of the hlc3 (average of high, low, close) is used to define the price trend. The difference between the current EMA and the EMA from n bars ago shows whether the stock is gaining or losing momentum. This difference is divided by the ATR (Average True Range) to adjust for volatility. 2️⃣ Volume Behavior Adjustment Volume is split into green volume (up candles) and red volume (down candles). The ratio of green to red volume determines whether buyers or sellers dominate over the selected period (n bars). If the stock is in an uptrend, green volume is weighted higher; if in a downtrend, red volume is weighted higher. The stock’s Volume Ratio (short-term SMA divided by long-term SMA) is adjusted based on this weight. 3️⃣ Benchmark Comparison A similar Raw Score calculation is performed on the selected benchmark (SPX, NDX, or sector ETF). Benchmark price movements, volume behavior, and ATR adjustments mirror the stock’s calculations. This provides a reference point for evaluating the stock’s relative strength. 4️⃣ Normalization Process Both the stock and benchmark raw scores are min-max normalized over the past 252 bars (1-year lookback). This scales values between 0 and 1, ensuring fair comparisons regardless of absolute price differences. 5️⃣ NUHI Calculation The final NUHI value is computed using a logarithmic ratio between the normalized stock score and the normalized benchmark score: This transformation ensures a more symmetrical representation of overperformance and underperformance. Performance Zones Strong Outperforming (NUHI between >0.41 and 0.69) Leading (NUHI between >0.10 and 0.41) Transitioning Outperformance (NUHI between 0.10 and 0) Equilibrium (NUHI 0) Transitioning Underperformance (NUHI between -0.10 and 0) Lagging (NUHI between < -0.1 and -0.41) Strong Underperforming (NUHI between< -0.41 and -0.69 ) How to Use NUHI ✅ Identifying Strong Stocks If NUHI > 0, the stock is outperforming its benchmark. If NUHI < 0, the stock is underperforming the benchmark. ✅ Trend Confirmation A steadily rising NUHI and raw score (colored green) suggests sustained strength bullish conditions. A falling NUHI and raw score (colored orange) indicates weakness and possible rotation into other assets. ✅ Finding Reversals Bullish Divergence: If NUHI is improving while the stock’s raw score is negative, it may signal a bottoming opportunity. Bearish Signs: If NUHI is dropping despite price strength, it could hint at underlying weakness. Why a Stock in a Downtrend Can Have NUHI > 0 (and Vice Versa ) NUHI measures performance relative to both its own history and the benchmark. A stock’s recent movement is compared to how it usually behaves and how the benchmark is performing. Example Scenarios: Stock in a Downtrend but NUHI > 0 The stock may still be in a downtrend (negative raw score), but it’s performing better relative to its past downtrend behavior and better than the benchmark over the same period. This could mean it’s showing relative strength compared to the broader market or sector. Stock in an Uptrend but NUHI < 0 Even in a uptrend (positive raw score), the stock might be underperforming relative to its past uptrend behavior and underperforming the benchmark. What This Means: NUHI > 0 in a downtrend → The stock is falling less aggressively than usual and/or holding up better than the benchmark. NUHI < 0 in an uptrend → The stock is gaining less than expected based on its history and/or lagging behind the benchmark. NUHI helps identify relative strength or weakness .
Pine Script® indicator
by federalTacos5392b
Dynamic Heat Levels [BigBeluga]This indicator visualizes dynamic support and resistance levels with an adaptive heatmap effect. It helps traders identify key price interaction zones and potential mean reversion opportunities by displaying multiple levels that react to price movement. 🔵Key Features: Multi-Level Heatmap Channel: - The indicator plots multiple dynamic levels forming a structured channel. - Each level represents a historical price interaction zone, helping traders identify critical areas. - The channel expands or contracts based on market conditions, adapting dynamically to price movements. Heatmap-Based Strength Indication: - Levels change in transparency and color intensity based on price interactions for the length period . - The more frequently price interacts with a level, the more visible and intense the color becomes. - When a level reaches a threshold (count > 10), it starts to turn red, signaling a high-heat zone with significant price activity. 🔵Usage: Support & Resistance Analysis: Identify price levels where the market frequently interacts, making them strong areas for trade decisions. Heatmap Strength Assessment: More intense red levels indicate areas with heavy price activity, useful for detecting key liquidity zones. Dynamic Heat Levels is a powerful tool for traders looking to analyze price interaction zones with a heatmap effect. It offers a structured visualization of market dynamics, allowing traders to gauge the significance of key levels and detect mean reversion setups effectively.
Pine Script® indicator
by BigBeluga
4
RSI-Colored Price Candles with BackgroundThis Pine Script indicator visually enhances price candles based on **RSI (Relative Strength Index)** behavior, helping traders quickly assess momentum directly on the price chart. **RSI Calculation:** The RSI is computed using a traditional 14-period lookback. It uses `ta.rma()` to smooth average gains and losses, and then transforms the result into an RSI value between 0 and 100. This value is used to determine both **candle color** and optional **background shading**. **Candle Coloring:** Each price candle is recolored based on the current RSI value: - If RSI is **greater than or equal to 50**, the candle is **bright green**, indicating bullish momentum. - If RSI is **less than 50**, the candle is **bright red**, indicating bearish momentum. The actual OHLC values of the candles remain unchanged. Only their color is modified to reflect RSI strength. **Optional Background Highlighting:** A user setting called `Show Overbought/Oversold Background` lets traders toggle background shading on or off. When enabled: - If RSI is **above 70**, a soft **green** background appears, signaling overbought conditions. - If RSI is **below 30**, a soft **red** background appears, signaling oversold conditions. This provides an intuitive visual cue that highlights potential reversal or exhaustion zones based on RSI extremes. **Custom Settings:** - The RSI length and source are customizable. - Background highlighting is turned **off by default**, giving users a clean chart unless they choose to enable it. **Purpose and Use:** This script is designed for traders who want to visually integrate RSI momentum directly into their chart candles, reducing the need to look away from price action. It's clean, responsive, and adjustable — perfect for intraday or swing traders who value simplicity backed by momentum data.
Pine Script® indicator
by Midgar-
Fib BB on VWMA*ATRThis TradingView Pine Script is designed to plot Fibonacci Bollinger Bands on a Volume Weighted Moving Average (VWMA) using the Average True Range (ATR). The script takes a higher timeframe (HTF) approach, allowing traders to analyze price action and volatility from a broader market perspective. 🔹 How It Works Higher Timeframe Data Integration Users can select a specific timeframe to calculate the VWMA and ATR. This allows for a more macro perspective, avoiding the noise of lower timeframes. Volume Weighted Moving Average (VWMA) Unlike the Simple Moving Average (SMA), VWMA gives higher weight to price movements with larger volume. Calculation Formula: 𝑉𝑊𝑀𝐴=∑(𝐶𝑙𝑜𝑠𝑒×𝑉𝑜𝑙𝑢𝑚𝑒) / ∑𝑉𝑜𝑙𝑢𝑚𝑒 Since VWMA accounts for volume, it is more reactive to price zones with high buying or selling activity, making it useful for identifying liquidity zones. ATR-Based Fibonacci Bollinger Bands The Average True Range (ATR) is used to measure market volatility. Instead of standard deviation-based Bollinger Bands, Fibonacci multipliers (2.618, 3.0, 3.414) are applied to ATR. These bands adjust dynamically with market volatility. 🔹 Key Findings from Exploration Through testing and analysis, this indicator seems to effectively detect supply and demand zones, particularly at the Fibonacci levels of 2.618 to 3.414. Price frequently reacts at these bands, indicating that they capture key liquidity zones. Potential Order Block Detection: The ends of the Fibonacci Bollinger Bands (especially at 2.618, 3.0, and 3.414) tend to align with order blocks—areas where institutional traders previously accumulated or distributed positions. This is particularly useful for order flow traders who focus on unfilled institutional orders. 🔹 How to Use This Indicator? Identifying Order Blocks When price reaches the upper or lower bands, check if there was a strong reaction (rejection or consolidation). If price rapidly moves away from a band, that level might be an order block. Spotting Liquidity Pools VWMA’s nature enhances liquidity detection since it emphasizes high-volume price action. If a price level repeatedly touches the band without breaking through, it suggests institutional orders may be absorbing liquidity there. Trend Confirmation If VWMA is trending upwards and price keeps rejecting the lower bands, it confirms a strong bullish trend. Conversely, constant rejection from the upper bands suggests a bearish market. This script is designed for open-source publication and offers traders a refined approach to detecting order blocks and liquidity zones using Fibonacci-based volatility bands. 📌 한글 설명 (상세 설명) 이 트레이딩뷰 파인스크립트는 거래량 가중 이동평균(VWMA)과 평균 실제 범위(ATR)를 활용하여 피보나치 볼린저 밴드를 표시하는 지표입니다. 또한, 고차 타임프레임(HTF) 데이터를 활용하여 시장의 큰 흐름을 분석할 수 있도록 설계되었습니다. 🔹 지표 작동 방식 고차 타임프레임(HTF) 데이터 적용 사용자가 원하는 타임프레임을 선택하여 VWMA와 ATR을 계산할 수 있습니다. 이를 통해 더 큰 시장 흐름을 분석할 수 있으며, 저타임프레임의 노이즈를 줄일 수 있습니다. 거래량 가중 이동평균(VWMA) 적용 VWMA는 단순 이동평균(SMA)보다 거래량이 많은 가격 움직임에 더 큰 가중치를 부여합니다. 계산 공식: 𝑉𝑊𝑀𝐴=∑(𝐶𝑙𝑜𝑠𝑒×𝑉𝑜𝑙𝑢𝑚𝑒) / ∑𝑉𝑜𝑙𝑢𝑚𝑒 ​ 거래량이 많이 발생한 가격 구간을 강조하는 특성이 있어, 시장의 유동성 구간을 더 정확히 포착할 수 있습니다. ATR 기반 피보나치 볼린저 밴드 생성 ATR(Average True Range)를 활용하여 변동성을 측정합니다. 기존의 표준편차 기반 볼린저 밴드 대신, 피보나치 계수(2.618, 3.0, 3.414)를 ATR에 곱하여 밴드를 생성합니다. 이 밴드는 시장 변동성에 따라 유동적으로 조정됩니다. 🔹 탐구 결과: 매물대 및 오더블록 감지 테스트를 통해 Fibonacci 2.618 ~ 3.414 구간에서 매물대 및 오더블록을 포착하는 경향이 있음을 확인했습니다. 가격이 피보나치 밴드(특히 2.618, 3.0, 3.414)에 닿을 때 반응하는 경우가 많음 VWMA의 특성을 통해 오더블록을 감지할 가능성이 높음 🔹 오더블록(Order Block) 감지 원리 Fibonacci 밴드 끄트머리(2.618 ~ 3.414)에서 가격이 강하게 반응 이 영역에서 가격이 강하게 튀어 오르거나(매수 압력) 급락하는(매도 압력) 경우, → 기관들이 포지션을 청산하거나 추가 매집하는 구간일 가능성이 큼. 과거에 대량 주문이 체결된 가격 구간(= 오더블록)일 수 있음. VWMA를 통한 유동성 감지 VWMA는 거래량이 집중된 가격을 기준으로 이동하기 때문에, 기관 주문이 많이 들어온 가격대를 강조하는 특징이 있음. 따라서 VWMA와 피보나치 밴드가 만나는 지점은 유동성이 높은 핵심 구간이 될 가능성이 큼. 매물대 및 청산 구간 분석 가격이 밴드에 도달했을 때 강한 반등이 나오는지를 확인 → 오더블록 가능성 가격이 밴드를 여러 번 테스트하면서 돌파하지 못한다면, 해당 지점은 강한 매물대일 가능성 🔹 활용 방법 ✅ 오더블록 감지: 가격이 밴드(2.618~3.414)에 닿고 강하게 튕긴다면, 오더블록 가능성 해당 지점에서 거래량 증가 및 강한 반등 발생 시 매수 고려 ✅ 유동성 풀 확인: VWMA와 피보나치 밴드가 만나는 구간에서 반복적으로 거래량이 터진다면, 해당 지점은 기관 유동성 구간일 가능성 ✅ 추세 확인: VWMA가 상승하고 가격이 밴드 하단(지지선)에서 튕긴다면 강한 상승 추세 VWMA가 하락하고 가격이 밴드 상단(저항선)에서 거부당하면 하락 추세 지속
Pine Script® indicator
by kdhchgo
[NLR] - SweetSpot ZonesThe Sweet Spot Zone helps you find the best spots to enter a trade, inspired by the " Follow Line Indicator " by Dreadblitz (big thanks to him!). It draws a colored zone on your chart to show ideal entry points, with a Base Point to keep you on track. What It Does Blue Zone: Uptrend—buy when the price dips into the zone. Red Zone: Downtrend—sell or short when the price climbs into the zone. Base Point: A gray line showing the key level the zone is built on. How to Use It Look for the colored zone: - Blue: Buy if the price dips into the zone but stays above the Base Point. - Red: Sell/short if the price climbs into the zone but stays below the Base Point. Important: Avoid entering trade beyond base point - you might see low returns and face big drawdowns. Confirm with other signals (like RSI/MACD) before entering. Settings ATR Length (10): How far back it looks to calculate price movement. ATR Multiplier (2.5): How wide the zone is. Error Margin (5.0): Keeps the zone steady during small price wiggles. Uptrend/Downtrend Colors: Change the zone colors if you’d like! Credits Inspired by the "Follow Line Indicator" by Dreadblitz—check out his work for more great ideas!
Pine Script® indicator
by NonLinearRookie
Dynamic Volume Profile Oscillator | AlphaAlgosDynamic Volume Profile Oscillator | AlphaAlgos Overview The Dynamic Volume Profile Oscillator is an advanced technical analysis tool that transforms traditional volume analysis into a responsive oscillator. By creating a dynamic volume profile and measuring price deviation from volume-weighted equilibrium levels, this indicator provides traders with powerful insights into market momentum and potential reversals. Key Features • Volume-weighted price deviation analysis • Adaptive midline that adjusts to changing market conditions • Beautiful gradient visualization with 10-level intensity zones • Fast and slow signal lines for trend confirmation • Mean reversion mode that identifies price extremes relative to volume • Fully customizable sensitivity and smoothing parameters Technical Components 1. Volume Profile Analysis The indicator builds a dynamic volume profile by: • Collecting recent price and volume data within a specified lookback period • Calculating a volume-weighted mean price (similar to VWAP) • Measuring how far current price has deviated from this weighted average • Adjusting this deviation based on historical volatility 2. Oscillator Calculation The oscillator offers two calculation methods: • Mean Reversion Mode (default): Measures deviation from volume-weighted mean price, normalized to reflect potential overbought/oversold conditions • Standard Mode : Normalizes volume activity to identify unusual volume patterns 3. Adaptive Zones The indicator features dynamic zones that: • Center around an adaptive midline that reflects the average oscillator value • Expand and contract based on recent volatility (standard deviation) • Visually represent intensity through multi-level gradient coloring • Provide clear visualization of bullish/bearish extremes 4. Signal Generation Trading signals are generated through: • Main oscillator line position relative to the adaptive midline • Crossovers between fast (5-period) and slow (15-period) signal lines • Color changes that instantly identify trend direction • Distance from the midline indicating trend strength Configuration Options Volume Analysis Settings: • Price Source - Select which price data to analyze • Volume Source - Define volume data source • Lookback Period - Number of bars for main calculations • Profile Calculation Periods - Frequency of profile recalculation Oscillator Settings: • Smoothing Length - Controls oscillator smoothness • Sensitivity - Adjusts responsiveness to price/volume changes • Mean Reversion Mode - Toggles calculation methodology Threshold Settings: • Adaptive Midline - Uses dynamic midline based on historical values • Midline Period - Lookback period for midline calculation • Zone Width Multiplier - Controls width of bullish/bearish zones Display Settings: • Color Bars - Option to color price bars based on trend direction Trading Strategies Trend Following: • Enter long positions when the oscillator crosses above the adaptive midline • Enter short positions when the oscillator crosses below the adaptive midline • Use signal line crossovers for entry timing • Monitor gradient intensity to gauge trend strength Mean Reversion Trading: • Look for oscillator extremes shown by intense gradient colors • Prepare for potential reversals when the oscillator reaches upper/lower zones • Use divergences between price and oscillator for confirmation • Consider scaling positions based on gradient intensity Volume Analysis: • Use Standard Mode to identify unusual volume patterns • Confirm breakouts when accompanied by strong oscillator readings • Watch for divergences between price and volume-based readings • Use extended periods in extreme zones as trend confirmation Best Practices • Adjust sensitivity based on the asset's typical volatility • Use longer smoothing for swing trading, shorter for day trading • Combine with support/resistance levels for optimal entry/exit points • Consider multiple timeframe analysis for comprehensive market view • Test different profile calculation periods to match your trading style This indicator is provided for informational purposes only. Always use proper risk management when trading based on any technical indicator. Not financial advise.
Pine Script® indicator
by AlphaNatt
4
Dynamic CAGR LineIndicator: Dynamic CAGR Line Overview This Pine Script (version 6) creates a custom indicator called "Dynamic CAGR Moving Line," designed to calculate and display the Compound Annual Growth Rate (CAGR) in percentage terms for a financial instrument, such as a stock or cryptocurrency, based on a user-defined lookback period (default: 5 years). Unlike traditional overlays that plot directly on the price chart, this indicator appears in a separate pane below the chart, providing a clear visual of how the CAGR evolves over time with each new candle. Purpose The indicator helps traders and investors analyze the annualized growth rate of an asset’s price over a specified historical period. By plotting the CAGR as a percentage in a separate pane, users can easily track how the growth rate changes as new price data is added, offering insights into long-term performance trends without cluttering the price chart. How It Works User Input: The script begins with an input parameter, lookback_years, allowing users to define the number of years (e.g., 5) to look back for the CAGR calculation. This is a floating-point value with a minimum of 1 and a step of 0.5, adjustable via the indicator’s settings in TradingView. Timeframe Conversion: Assuming a daily chart, the script converts the lookback years into a number of bars using bars_per_year = 252 (the average number of trading days in a year). The total lookback period in bars is calculated as lookback_bars = math.round(lookback_years * bars_per_year). For example, 5 years equals approximately 1260 bars. Price Data: For each candle, the start_price is fetched from the closing price lookback_bars ago (e.g., the close price from 5 years prior), using close . The end_price is the current candle’s closing price, accessed via close. CAGR Calculation: The total return is computed as (end_price - start_price) / start_price, measuring the percentage change from the start price to the current price. To avoid division-by-zero errors, a conditional check ensures start_price != 0; if it is, the return defaults to 0. The CAGR is then calculated using the formula: math.pow(1 + total_return, 1 / lookback_years) - 1, which annualizes the total return over the lookback period. The result is converted to a percentage by multiplying by 100 (cagr_percent = cagr * 100). Plotting: The CAGR percentage is plotted as a blue line in a separate pane using plot(). The line only appears after enough data exists (bar_index >= lookback_bars), otherwise it plots na (not available). A label is added for each candle, displaying the current CAGR percentage (e.g., "CAGR: 5.23%") near the plotted value, styled with a blue background and white text. Usage Chart Setup: Apply the indicator to a daily chart with sufficient historical data (e.g., more than 5 years for the default setting). It’s designed for daily timeframes but can be adapted for others by adjusting bars_per_year (e.g., 52 for weekly). Interpretation: A positive CAGR (e.g., 5%) indicates annualized growth, while a negative value (e.g., -2%) shows an annualized decline. A flat line at 0% suggests no net change over the lookback period. Customization: Adjust lookback_years in the settings to analyze different periods (e.g., 3 or 10 years). Notes Ensure your chart has enough data to cover the lookback period, or the line won’t appear until sufficient bars are available. For debugging, you can temporarily plot start_price and end_price on the main chart to verify the calculation inputs.
Pine Script® indicator
by Joy_Mukherjee
Triple SRSI-MFI Ⅲ - Multi TimeframeTriple SRSI-MFI Ⅲ - Multi Timeframe Indicator Description The Triple SRSI-MFI Ⅲ - Multi Timeframe indicator is a powerful tool designed to combine Stochastic RSI (SRSI) and Money Flow Index (MFI) across multiple timeframes (higher, current, and lower). It provides a comprehensive view of market momentum and potential overbought/oversold conditions by calculating a weighted hybrid of SRSI-MFI values from three different timeframes. The indicator also integrates Bollinger Bands to help identify trend direction and volatility. This indicator is ideal for traders who want to analyze market conditions across multiple timeframes without switching charts. It automatically adjusts settings based on the current timeframe and includes a dynamic weighting system optimized for Bitcoin volatility. Additionally, a real-time information panel displays the market state (buy/sell) and signal strength. Key Features Multi-Timeframe Analysis: Combines SRSI-MFI from higher, current, and lower timeframes for a holistic view. Dynamic Weighting: Automatically adjusts weights for each timeframe based on Bitcoin volatility, with an option for manual customization. Bollinger Bands Integration: Visualizes trend direction and volatility using Bollinger Bands, with customizable source selection. Real-Time Info Panel: Displays market state (buy/sell) and signal strength (%) in the top-right corner of the chart. Customizable Settings: Allows users to tweak MFI source, Bollinger Bands parameters, and visibility of individual components. How to Use Add to Chart: Add the "Triple SRSI-MFI Ⅲ - Multi Timeframe" indicator to your chart. Interpret Signals: Market State (Buy/Sell): Shown in the info panel. "Buy" when the average SRSI-MFI is above the Bollinger Bands basis, "Sell" when below. Strength (%): The relative position of the average SRSI-MFI within the Bollinger Bands, scaled from 0% to 100%. Overbought/Oversold Levels: The indicator plots horizontal lines at 80 (overbought) and 20 (oversold). Use these as potential reversal zones. Combine with Price Action: Use the indicator in conjunction with price action or other tools for better decision-making. Adjust Settings: Customize the settings (e.g., Bollinger Bands length, weights, visibility) to match your trading style. Settings MFI Source: Select the source for MFI calculation (default: "hlc3"). Options include "close", "open", "high", "low", "hl2", "hlc3", "ohlc4". Bollinger Bands: Length: Period for Bollinger Bands calculation (default: 20). Multiplier: Standard deviation multiplier for the bands (default: 2.0). Source: Choose which SRSI-MFI value to use for Bollinger Bands ("averageHybrid", "hybrid_higher", "hybrid_current", "hybrid_lower"; default: "hybrid_higher"). Weights: Auto Weight Enabled: Enable/disable automatic weights based on Bitcoin volatility (default: true). Higher/Current/Lower Weights: Manually set weights for each timeframe if auto-weight is disabled (defaults: 1.5, 1.0, 0.5). Indicator On/Off: Toggle visibility for Higher SRSI-MFI, Current SRSI-MFI, Lower SRSI-MFI, Average SRSI-MFI, and Bollinger Bands. How It Works SRSI-MFI Calculation: Stochastic RSI (SRSI) and Money Flow Index (MFI) are calculated for three timeframes: higher, current, and lower. The hybrid value (SRSI * (MFI / 100)) is computed for each timeframe. Weighted Average: The hybrid values are combined into a weighted average (averageHybrid) using dynamic or manual weights. Bollinger Bands: Bollinger Bands are applied to the selected source (e.g., hybrid_higher) to identify trend direction and volatility. Relative Position: The position of averageHybrid within the Bollinger Bands is scaled to a percentage (0% to 100%) for strength assessment. Visualization: Plots individual SRSI-MFI lines, Bollinger Bands, and overbought/oversold levels. A real-time info panel provides market state and signal strength. Notes This indicator is best used as part of a broader trading strategy. It is not a standalone signal generator and should be combined with other forms of analysis. The automatic weights are optimized for Bitcoin (BTC) volatility. For other assets, you may need to adjust the weights manually. The indicator may require sufficient historical data to calculate higher and lower timeframe values accurately.
Pine Script® indicator
by illbecmo