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Advanced Speedometer Gauge [PhenLabs]Advanced Speedometer Gauge Version: PineScript™v6 📌 Description The Advanced Speedometer Gauge is a revolutionary multi-metric visualization tool that consolidates 13 distinct trading indicators into a single, intuitive speedometer display. Instead of cluttering your workspace with multiple oscillators and panels, this gauge provides a unified interface where you can switch between different metrics while maintaining consistent visual interpretation. Built on PineScript™ v6, the indicator transforms complex technical calculations into an easy-to-read semi-circular gauge with color-coded zones and a precision needle indicator. Each of the 13 available metrics has been carefully normalized to a 0-100 scale, ensuring that whether you’re analyzing RSI, volume trends, or volatility extremes, the visual interpretation remains consistent and intuitive. The gauge is designed for traders who value efficiency and clarity. By consolidating multiple analytical perspectives into one compact display, you can quickly assess market conditions without the visual noise of traditional multi-indicator setups. All metrics are non-overlapping, meaning each provides unique insights into different aspects of market behavior. 🚀 Points of Innovation 13 selectable metrics covering momentum, volume, volatility, trend, and statistical analysis, all accessible through a single dropdown menu Universal 0-100 normalization system that standardizes different indicator scales for consistent visual interpretation across all metrics Semi-circular gauge design with 21 arc segments providing smooth precision and clear visual feedback through color-coded zones Non-redundant metric selection ensuring each indicator provides unique market insights without analytical overlap Advanced metrics including MFI (volume-weighted momentum), CCI (statistical deviation), Volatility Rank (extended lookback), Trend Strength (ADX-style), Choppiness Index, Volume Trend, and Price Distance from MA Flexible positioning system with 5 chart locations, 3 size options, and fully customizable color schemes for optimal workspace integration 🔧 Core Components Metric Selection Engine: Dropdown interface allowing instant switching between 13 different technical indicators, each with independent parameter controls Normalization System: All metrics converted to 0-100 scale using indicator-specific algorithms that preserve the statistical significance of each measurement Semi-Circular Gauge: Visual display using 21 arc segments arranged in curved formation with two-row thickness for enhanced visibility Color Zone System: Three distinct zones (0-40 green, 40-70 yellow, 70-100 red) providing instant visual feedback on metric extremes Needle Indicator: Dynamic pointer that positions across the gauge arc based on precise current metric value Table Implementation: Professional table structure ensuring consistent positioning and rendering across different chart configurations 🔥 Key Features RSI (Relative Strength Index): Classic momentum oscillator measuring overbought/oversold conditions with adjustable period length (default 14) Stochastic Oscillator: Compares closing price to price range over specified period with smoothing, ideal for identifying momentum shifts MFI (Money Flow Index): Volume-weighted RSI that combines price movement with volume to measure buying and selling pressure intensity CCI (Commodity Channel Index): Measures statistical deviation from average price, normalized from typical -200 to +200 range to 0-100 scale Williams %R: Alternative overbought/oversold indicator using high-low range analysis, inverted to match 0-100 scale conventions Volume %: Current volume relative to moving average expressed as percentage, capped at 100 for extreme spikes Volume Trend: Cumulative directional volume flow showing whether volume is flowing into up moves or down moves over specified period ATR Percentile: Current Average True Range position within historical range using specified lookback period (default 100 bars) Volatility Rank: Close-to-close volatility measured against extended historical range (default 252 days), differs from ATR in calculation method Momentum: Rate of change calculation showing price movement speed, centered at 50 and normalized to 0-100 range Trend Strength: ADX-style calculation using directional movement to quantify trend intensity regardless of direction Choppiness Index: Measures market choppiness versus trending behavior, where high values indicate ranging markets and low values indicate strong trends Price Distance from MA: Measures current price over-extension from moving average using standard deviation calculations 🎨 Visualization Semi-Circular Arc Display: Curved gauge spanning from 0 (left) to 100 (right) with smooth progression and two-row thickness for visibility Color-Coded Zones: Green zone (0-40) for low/oversold conditions, yellow zone (40-70) for neutral readings, red zone (70-100) for high/overbought conditions Needle Indicator: Downward-pointing triangle (▼) positioned precisely at current metric value along the gauge arc Scale Markers: Vertical line markers at 0, 25, 50, 75, and 100 positions with corresponding numerical labels below Title Display: Merged cell showing “𓄀 PhenLabs” branding plus currently selected metric name in monospace font Large Value Display: Current metric value shown with two decimal precision in large text directly below title Table Structure: Professional table with customizable background color, text color, and transparency for minimal chart obstruction 📖 Usage Guidelines Metric Selection Select Metric: Default: RSI | Options: RSI, Stochastic, Volume %, ATR Percentile, Momentum, MFI (Money Flow), CCI (Commodity Channel), Williams %R, Volatility Rank, Trend Strength, Choppiness Index, Volume Trend, Price Distance | Choose the technical indicator you want to display on the gauge based on your current analytical needs RSI Settings RSI Length: Default: 14 | Range: 1+ | Controls the lookback period for RSI calculation, shorter periods increase sensitivity to recent price changes Stochastic Settings Stochastic Length: Default: 14 | Range: 1+ | Lookback period for stochastic calculation comparing close to high-low range Stochastic Smooth: Default: 3 | Range: 1+ | Smoothing period applied to raw stochastic value to reduce noise and false signals Volume Settings Volume MA Length: Default: 20 | Range: 1+ | Moving average period used to calculate average volume for comparison with current volume Volume Trend Length: Default: 20 | Range: 5+ | Period for calculating cumulative directional volume flow trend ATR and Volatility Settings ATR Length: Default: 14 | Range: 1+ | Period for Average True Range calculation used in ATR Percentile metric ATR Percentile Lookback: Default: 100 | Range: 20+ | Historical range used to determine current ATR position as percentile Volatility Rank Lookback (Days): Default: 252 | Range: 50+ | Extended lookback period for Volatility Rank metric using close-to-close volatility Momentum and Trend Settings Momentum Length: Default: 10 | Range: 1+ | Lookback period for rate of change calculation in Momentum metric Trend Strength Length: Default: 20 | Range: 5+ | Period for directional movement calculations in ADX-style Trend Strength metric Advanced Metric Settings MFI Length: Default: 14 | Range: 1+ | Lookback period for Money Flow Index calculation combining price and volume CCI Length: Default: 20 | Range: 1+ | Period for Commodity Channel Index statistical deviation calculation Williams %R Length: Default: 14 | Range: 1+ | Lookback period for Williams %R high-low range analysis Choppiness Index Length: Default: 14 | Range: 5+ | Period for calculating market choppiness versus trending behavior Price Distance MA Length: Default: 50 | Range: 10+ | Moving average period used for Price Distance standard deviation calculation Visual Customization Position: Default: Top Right | Options: Top Left, Top Right, Bottom Left, Bottom Right, Middle Right | Controls gauge placement on chart for optimal workspace organization Size: Default: Normal | Options: Small, Normal, Large | Adjusts overall gauge dimensions and text size for different monitor resolutions and preferences Low Zone Color (0-40): Default: Green (#00FF00) | Customize color for low/oversold zone of gauge arc Medium Zone Color (40-70): Default: Yellow (#FFFF00) | Customize color for neutral/medium zone of gauge arc High Zone Color (70-100): Default: Red (#FF0000) | Customize color for high/overbought zone of gauge arc Background Color: Default: Semi-transparent dark gray | Customize gauge background for contrast and chart integration Text Color: Default: White (#FFFFFF) | Customize all text elements including title, value, and scale labels ✅ Best Use Cases Quick visual assessment of market conditions when you need instant feedback on whether an asset is in extreme territory across multiple analytical dimensions Workspace organization for traders who monitor multiple indicators but want to reduce chart clutter and visual complexity Metric comparison by switching between different indicators while maintaining consistent visual interpretation through the 0-100 normalization Overbought/oversold identification using RSI, Stochastic, Williams %R, or MFI depending on whether you prefer price-only or volume-weighted analysis Volume analysis through Volume %, Volume Trend, or MFI to confirm price movements with corresponding volume characteristics Volatility monitoring using ATR Percentile or Volatility Rank to identify expansion/contraction cycles and adjust position sizing Trend vs range identification by comparing Trend Strength (high values = trending) against Choppiness Index (high values = ranging) Statistical over-extension detection using CCI or Price Distance to identify when price has deviated significantly from normal behavior Multi-timeframe analysis by duplicating the gauge on different timeframe charts to compare metric readings across time horizons Educational purposes for new traders learning to interpret technical indicators through consistent visual representation ⚠️ Limitations The gauge displays only one metric at a time, requiring manual switching to compare different indicators rather than simultaneous multi-metric viewing The 0-100 normalization, while providing consistency, may obscure the raw values and specific nuances of each underlying indicator Table-based visualization cannot be exported or saved as an image separately from the full chart screenshot Optimal parameter settings vary by asset type, timeframe, and market conditions, requiring user experimentation for best results 💡 What Makes This Unique Unified Multi-Metric Interface: The only gauge-style indicator offering 13 distinct metrics through a single interface, eliminating the need for multiple oscillator panels Non-Overlapping Analytics: Each metric provides genuinely unique insights—MFI combines volume with price, CCI measures statistical deviation, Volatility Rank uses extended lookback, Trend Strength quantifies directional movement, and Choppiness Index measures ranging behavior Universal Normalization System: All metrics standardized to 0-100 scale using indicator-appropriate algorithms that preserve statistical meaning while enabling consistent visual interpretation Professional Visual Design: Semi-circular gauge with 21 arc segments, precision needle positioning, color-coded zones, and clean table implementation that maintains clarity across all chart configurations Extensive Customization: Independent parameter controls for each metric, five position options, three size presets, and full color customization for seamless workspace integration 🔬 How It Works 1. Metric Calculation Phase: All 13 metrics are calculated simultaneously on every bar using their respective algorithms with user-defined parameters Each metric applies its own specific calculation method—RSI uses average gains vs losses, Stochastic compares close to high-low range, MFI incorporates typical price and volume, CCI measures deviation from statistical mean, ATR calculates true range, directional indicators measure up/down movement, and statistical metrics analyze price relationships 2. Normalization Process: Each calculated metric is converted to a standardized 0-100 scale using indicator-appropriate transformations Some metrics are naturally 0-100 (RSI, Stochastic, MFI, Williams %R), while others require scaling—CCI transforms from ±200 range, Momentum centers around 50, Volume ratio caps at 2x for 100, ATR and Volatility Rank calculate percentile positions, and Price Distance scales by standard deviations 3. Gauge Rendering: The selected metric’s normalized value determines the needle position across 21 arc segments spanning 0-100 Each arc segment receives its color based on position—segments 0-8 are green zone, segments 9-14 are yellow zone, segments 15-20 are red zone The needle indicator (▼) appears in row 5 at the column corresponding to the current metric value, providing precise visual feedback 4. Table Construction: The gauge uses TradingView’s table system with merged cells for title and value display, ensuring consistent positioning regardless of chart configuration Rows are allocated as follows: Row 0 merged for title, Row 1 merged for large value display, Row 2 for spacing, Rows 3-4 for the semi-circular arc with curved shaping, Row 5 for needle indicator, Row 6 for scale markers, Row 7 for numerical labels at 0/25/50/75/100 All visual elements update on every bar when barstate.islast is true, ensuring real-time accuracy without performance impact 💡 Note: This indicator is designed for visual analysis and market condition assessment, not as a standalone trading system. For best results, combine gauge readings with price action analysis, support and resistance levels, and broader market context. Parameter optimization is recommended based on your specific trading timeframe and asset class. The gauge works on all timeframes but may require different parameter settings for intraday versus daily/weekly analysis. Consider using multiple instances of the gauge set to different metrics for comprehensive market analysis without switching between settings.
Indicatore Pine Script®
di PhenLabs
India VIX Based Nifty/BankNifty Range Calculator (Auto Fetch)VIX-Based Expected Daily Range (Auto Volatility Forecast) Created by: Harshiv Symposium 📖 Purpose This indicator automatically fetches the India VIX value and calculates the expected daily price range for major Indian indices such as Nifty and BankNifty. It helps traders understand how much the market is likely to move today based on current volatility conditions. Designed for educational and analytical awareness, not for signals or profit-making systems. ⚙️ Core Logic Expected Daily Move (Range) = (India VIX × Current Index Price) ÷ Multiplier - Multiplier for Nifty: 1000 - Multiplier for BankNifty: 700 This calculation projects the 1-standard-deviation (≈ 68% probability) and 2-standard-deviation (≈ 95% probability) movement zones for the day. 📊 Example If India VIX = 15 and Nifty = 25,000: Expected Move ≈ (15 × 25,000) ÷ 1000 = 375 points Hence, - 68% Range: 24,625 – 25,375 - 95% Range: 24,250 – 25,750 This gives traders a realistic idea of daily volatility boundaries. 🧭 Key Features ✅ Auto-Fetch India VIX No need for manual input — automatically pulls live data from NSE:INDIAVIX. ✅ Dynamic Range Visualization Plots upper/lower boundaries for 1σ and 2σ probability zones with shaded expected-move area. ✅ Dashboard Panel Displays: - Current VIX - Expected Move (in points and %) - Upper and Lower Ranges ✅ Smart Alerts Alerts when price crosses upper or lower volatility range — potential breakout signal. 🎯 How It Helps Intraday Traders: Know the likely daily movement (e.g., ±220 pts on Nifty) and plan realistic targets or stops. Options Traders: Quickly assess whether it’s a seller-friendly (low VIX, small range) or buyer-friendly (high VIX, large range) session. Risk Managers: Use volatility context for stop-loss width and position sizing. Breakout Traders: If price breaks beyond the 2σ range → indicates potential volatility expansion. 💡 Interpretation Guide Condition Market Behavior Strategy Insight VIX ↓ ( < 14 ) Calm / Range-bound Option Selling Edge VIX ↑ ( > 20 ) Volatile Sessions Option Buying Edge Price within Range Stable Market Mean Reversion Setups Price breaks Range Volatility Expansion Breakout Trades ⚠️ Disclaimer This indicator is for educational and awareness purposes only. It does not generate buy/sell signals or guarantee returns. Always apply your own analysis and risk management.
Indicatore Pine Script®
di harshivsymposium
Volume Spike (Multi-Timeframe)Volume Spike (Multi-Timeframe) Overview Volume Spike (Multi-Timeframe) evaluates traded volume against its moving average on a selected timeframe so traders can identify when activity departs from recent norms. What it does Calculates volume on the chart timeframe or any alternate timeframe you select in the inputs. Builds a configurable simple moving average to establish a rolling volume benchmark. Applies distinct colors to spike and baseline volume columns to highlight deviations. Plots the related moving-average line for reference. Registers an alert condition when volume closes above its moving-average baseline. How to use it Choose the desired Volume Timeframe (leave blank to inherit the chart’s period). Tune the Volume MA Length to balance responsiveness and noise. Adjust the spike, base, and MA colors to align with existing chart styling. Enable the alert condition when automated notification of spikes is needed. Implementation notes Timeframe selection is applied consistently to both the raw volume series and its moving average. Color inputs allow visual adjustments without modifying code. Alert messaging specifies that the event is a volume spike relative to the selected timeframe baseline. Disclaimer This indicator is designed as a technical analysis tool and should be used in conjunction with other forms of analysis and proper risk management. Past performance does not guarantee future results, and traders should thoroughly test any strategy before implementing it with real capital.
Indicatore Pine Script®
di dchunt-stack
Lucas' Money GlitchHere's a description you can use to publish your indicator to TradingView: Title: Triple SuperTrend + RSI + Fib BB + Volume Oscillator Short Description: Advanced multi-indicator system combining three SuperTrends, RSI, Fibonacci Bollinger Bands, DEMA filter, and Volume Oscillator for precise trade entry and exit signals. Full Description: Overview This comprehensive trading indicator combines multiple proven technical analysis tools to identify high-probability trade setups with built-in risk management through automated take profit levels. Key Features 📊 Triple SuperTrend System Uses three SuperTrend indicators with different ATR periods (10, 11, 12) and multipliers (1.0, 2.0, 3.0) Requires all three SuperTrends to align before generating signals Reduces false signals and confirms trend strength 📈 Volume Oscillator Filter Calculates volume momentum using short and long-term moving averages Requires volume oscillator to be above 20% threshold for trade entries Ensures trades only occur during periods of strong volume activity Displayed as a clean histogram in separate pane (green = bullish, red = bearish) 🎯 RSI Confirmation 7-period RSI must be above 50 for buy signals RSI must be below 50 for sell signals Prevents counter-trend entries 🌊 200 DEMA Trend Filter Double Exponential Moving Average acts as major trend filter Optional: Only buy above DEMA, only sell below DEMA Can be toggled on/off based on trading style 📐 Fibonacci Bollinger Bands Uses 2.618 Fibonacci multiplier (Golden Ratio) 200-period basis Price touching bands triggers exit signals Helps identify overextended moves Entry Signals BUY Signal (Green Triangle): All three SuperTrends turn bullish simultaneously RSI > 50 Price above 200 DEMA (if filter enabled) Volume Oscillator > 20% SELL Signal (Red Triangle): All three SuperTrends turn bearish simultaneously RSI < 50 Price below 200 DEMA (if filter enabled) Volume Oscillator > 20% Exit Signals Automatic Exits Occur When: Any of the three SuperTrends changes direction Price touches Fibonacci Bollinger Band (upper or lower) Take Profit target is reached (1.5x the distance from entry to ST1) Exit Labels: 🟠 "TP" = Take Profit hit 🟡 "X" = SuperTrend change or BB touch Visual Elements Orange Line: Dynamic take profit level based on SuperTrend distance Green/Red Lines: Three SuperTrend levels (varying opacity) Purple Bands: Fibonacci Bollinger Bands with shaded area Blue Line: 200 DEMA Background Tint: Green when all bullish, red when all bearish Volume Histogram: Separate pane showing volume oscillator Dashboard Display Real-time information table showing: Current position status (Long/Short/Flat) RSI value Volume Oscillator percentage Overall trend direction Alert Conditions Set up custom alerts for: Buy signals Sell signals Take profit hits Exit signals Customizable Parameters SuperTrend Settings: Individual ATR periods and multipliers for each SuperTrend Default: ST1(10,1.0), ST2(11,2.0), ST3(12,3.0) Volume Oscillator: Short length (default: 5) Long length (default: 10) Threshold percentage (default: 20%) Toggle filter on/off Other Filters: RSI length (default: 7) DEMA length (default: 200) Fib BB length and multiplier Take profit multiplier (default: 1.5x) Best Use Cases Trend following strategies Swing trading Day trading on higher timeframes (15min+) Works on all markets: Stocks, Forex, Crypto, Futures Notes This is an indicator, not an automated strategy Signals are for informational purposes only Always practice proper risk management Test on historical data before live trading Works best in trending markets
Indicatore Pine Script®
di TRW_meir
Bollinger Band ToolkitBollinger Band Toolkit An advanced, adaptive Bollinger Band system for traders who want more context, precision, and edge. This indicator expands on the classic Bollinger Bands by combining statistical and volatility-based methods with modern divergence and squeeze detection tools. It helps identify volatility regimes, potential breakouts, and early momentum shifts — all within one clean overlay. 🔹 Core Features 1. Adaptive Bollinger Bands (σ + ATR) Classic 20-period bands enhanced with an ATR-based volatility adjustment, making them more responsive to true market movement rather than just price variance. Reduces “overreacting” during chop and avoids bands collapsing too tightly during trends. 2. %B & RSI Divergence Detection 🟢 Green dots: Positive %B divergence — price makes a lower low, but %B doesn’t confirm (bullish). 🔴 Red dots: Negative %B divergence — price makes a higher high, but %B doesn’t confirm (bearish). ✚ Red/green crosses: RSI divergence confirmation — momentum fails to confirm the price’s new extreme. These signals highlight potential reversal or slowdown zones that are often invisible to the naked eye. 3. Bollinger Band Squeeze (with Volume Filter) Yellow squares (■) show periods when Bollinger Bands are at their narrowest relative to recent history. Volume confirmation ensures the squeeze only triggers when both volatility and participation contract. Often marks the “calm before the storm” — breakout potential zones. 4. Multi-Timeframe Breakout Markers Optionally displays breakouts from higher or lower timeframes using different colors/symbols. Lets you see when a higher timeframe band break aligns with your current chart — a strong trend continuation signal. 5. Dual- and Triple-Band Visualization (±1σ, ±2σ, ±3σ) Optional inner (±1σ) and outer (±3σ) bands provide a layered volatility map: Price holding between ±1σ → stable range / mean-reverting behavior Price riding near ±2σ → trending phase, sustained momentum Price touching or exceeding ±3σ → volatility expansion or exhaustion zone This triple-band layout visually distinguishes normal movement from statistical extremes, helping you read when the market is balanced, expanding, or approaching its limits. ⚙️ Inputs & Customization Choose band type (SMA/EMA/SMMA/WMA/VWMA) Adjust deviation multiplier (σ) and ATR multiplier Toggle individual features (divergence dots, squeeze markers, inner bands, etc.) Multi-timeframe and colour controls for advanced users 🧠 How to Use Watch for squeeze markers followed by a breakout bar beyond ±2σ → volatility expansion signal. Combine divergence dots with RSI or price structure to anticipate slowdowns or reversals. Confirm direction using multi-timeframe breakouts and volume expansion. 💬 Why It Works This toolkit transforms qualitative chart reading (tight bands, hidden divergence) into quantitative, testable conditions — giving you objective insights that can be backtested, coded, or simply trusted in live setups.
Indicatore Pine Script®
di LinesOnRice
TOP GAINER V2 The "TOP GAINER" is a custom TradingView indicator designed to identify and trade high-potential momentum stocks, particularly top pre-market gainers with strong hype and volatility. It's tailored for day traders focusing on small-cap, low-float stocks that exhibit explosive price movements, allowing for quick entries and exits to capitalize on short-term pumps. This indicator combines technical signals (MACD, RSI, and EMA) with fundamental filters to spot setups in pre-market and early regular trading hours, ideally on a 5-minute chart for precise timing. Key Features and How It Works Scanning for Top Gainers: The indicator targets stocks that are among the day's top pre-market performers. It evaluates criteria like: Price Range ($2–$20): Focuses on affordable stocks where you can buy a large number of shares with limited capital. Lower-priced stocks often have higher volatility, enabling them to double, triple, or more in a single session due to hype-driven momentum. Pre-Market Gain (≥20%): Identifies stocks with significant upside from the pre-market open (4:00 AM ET), signaling strong early interest and potential for continuation. High Volume (≥500,000 shares from pre-market open): Ensures liquidity and confirms genuine hype, as elevated pre-market volume often precedes big moves at market open. Small Market Cap (<$500M): Prioritizes small-cap companies, which are more prone to rapid price swings from news, catalysts, or retail frenzy compared to large caps. Low Float (<50M shares): Low-float stocks have fewer shares available for trading, making them susceptible to sharp rallies when demand surges (e.g., from social media buzz or short squeezes). These criteria are displayed in a real-time table on the chart for quick scanning—green checkmarks (✅) indicate a match, red crosses (❌) show failures, and "N/A" appears if data is unavailable (e.g., for non-stocks). Entry Signals (Buy Opportunities): Once a stock meets the filters, the indicator watches for bullish momentum during pre-market or at market open: EMA Exit (default enabled): Sells when price crosses below a 40-period EMA (orange line), signaling a potential trend reversal. STRONGLY RECOMMEND TURNING THIS OFF MACD Exit (default enabled, now using standard line/signal crossunder): Sells on a bearish MACD crossover for momentum-based exits. Plots orange (EMA) or red (MACD) downward triangles above the bar for exits. Built-in alerts notify you of buy and sell signals in real-time. Why This Strategy? This indicator is built for "hype trading" on volatile small-caps, where pre-market scanners highlight gappers, and the tool helps time entries post-open (e.g., on 5-min charts) to catch breakouts. Small floats and caps amplify moves— a 20%+ gainer with high volume can surge 50–200% intraday due to supply/demand imbalances. The $2–$20 range keeps it accessible: with $1,000, you could buy 500 shares of a $2 stock, turning a $1 gain into $500 profit. It's not for long-term investing but for scalping or swinging on daily catalysts like earnings, news, or memes. Usage Tips This tool streamlines spotting and trading "lotto plays" while providing visual and alert-based discipline for entries/exits.
Indicatore Pine Script®
di spaanderruben
Ghost BookGhost Book is an indicator that visualizes the distribution of bid and ask amount — the activity of buyers and sellers — in the form of a synthetic order book. While a real order book shows active limit orders, Ghost Book displays the most recent n ticks (controlled by the input Max rows count in book). For each tick, the indicator shows: Price Amount Total trade value Trade side (buyer or seller) Relative weight of the tick by its amount The center row displays the current closing price as a reference point between buyers and sellers. Note: This indicator uses tick-level data. If your TradingView subscription level does not include tick data, the indicator will not function correctly.
Indicatore Pine Script®
di dboichenko
Triple SuperTrend + RSI + Fib BBTriple SuperTrend + RSI + Fibonacci Bollinger Bands Strategy 📊 Overview This advanced trading strategy combines the power of three SuperTrend indicators with RSI confirmation and Fibonacci Bollinger Bands to generate high-probability trade signals. The strategy is designed to capture strong trending moves while filtering out false signals through multi-indicator confluence. 🔧 Core Components Three SuperTrend Indicators The strategy uses three SuperTrend indicators with progressively longer periods and multipliers: SuperTrend 1: 10-period ATR, 1.0 multiplier (fastest, most sensitive) SuperTrend 2: 11-period ATR, 2.0 multiplier (medium sensitivity) SuperTrend 3: 12-period ATR, 3.0 multiplier (slowest, most stable) This layered approach ensures that all three timeframe perspectives align before generating a signal, significantly reducing false entries. RSI Confirmation (7-period) The Relative Strength Index acts as a momentum filter: Long signals require RSI > 50 (bullish momentum) Short signals require RSI < 50 (bearish momentum) This prevents entries during weak or divergent price action. Fibonacci Bollinger Bands (200, 2.618) Uses a 200-period Simple Moving Average with 2.618 standard deviation bands (Fibonacci ratio). These bands serve dual purposes: Visual representation of price extremes Automatic exit trigger when price reaches overextended levels 📈 Entry Logic LONG Entry (BUY Signal) A LONG position is opened when ALL of the following conditions are met simultaneously: All three SuperTrend indicators turn green (bullish) RSI(7) is above 50 This is the first bar where all conditions align (no repainting) SHORT Entry (SELL Signal) A SHORT position is opened when ALL of the following conditions are met simultaneously: All three SuperTrend indicators turn red (bearish) RSI(7) is below 50 This is the first bar where all conditions align (no repainting) 🚪 Exit Logic Positions are automatically closed when ANY of these conditions occur: SuperTrend Color Change: Any one of the three SuperTrend indicators changes direction Fibonacci BB Touch: Price reaches or exceeds the upper or lower Fibonacci Bollinger Band (2.618 standard deviations) This dual-exit approach protects profits by: Exiting quickly when trend momentum shifts (SuperTrend change) Taking profits at statistical price extremes (Fib BB touch) 🎨 Visual Features Signal Arrows Green Up Arrow (BUY): Appears below the bar when long entry conditions are met Red Down Arrow (SELL): Appears above the bar when short entry conditions are met Yellow Down Arrow (EXIT): Appears above the bar when exit conditions are met Background Coloring Light Green Tint: All three SuperTrends are bullish (uptrend environment) Light Red Tint: All three SuperTrends are bearish (downtrend environment) SuperTrend Lines Three colored lines plotted with varying opacity: Solid line (ST1): Most responsive to price changes Semi-transparent (ST2): Medium-term trend Most transparent (ST3): Long-term trend structure Dashboard Real-time information panel showing: Individual SuperTrend status (UP/DOWN) Current RSI value and color-coded status Current position (LONG/SHORT/FLAT) Net Profit/Loss ⚙️ Customizable Parameters SuperTrend Settings ATR periods for each SuperTrend (default: 10, 11, 12) Multipliers for each SuperTrend (default: 1.0, 2.0, 3.0) RSI Settings RSI length (default: 7) RSI source (default: close) Fibonacci Bollinger Bands BB length (default: 200) BB multiplier (default: 2.618) Strategy Options Enable/disable long trades Enable/disable short trades Initial capital Position sizing Commission settings 💡 Strategy Philosophy This strategy is built on the principle of confluence trading - waiting for multiple independent indicators to align before taking a position. By requiring three SuperTrend indicators AND RSI confirmation, the strategy filters out the majority of low-probability setups. The multi-timeframe SuperTrend approach ensures that short-term, medium-term, and longer-term trends are all in agreement, which typically occurs during strong, sustainable price moves. The exit strategy is equally important, using both trend-following logic (SuperTrend changes) and mean-reversion logic (Fibonacci BB touches) to adapt to different market conditions. 📊 Best Use Cases Trending Markets: Works best in markets with clear directional bias Higher Timeframes: Designed for 15-minute to daily charts Volatile Assets: SuperTrend indicators excel in assets with clear trends Swing Trading: Hold times typically range from hours to days ⚠️ Important Notes No Repainting: All signals are confirmed and will not change on historical bars One Signal Per Setup: The strategy prevents duplicate signals on consecutive bars Exit Protection: Always exits before potentially taking an opposite position Visual Clarity: All three SuperTrend lines are visible simultaneously for transparency 🎯 Recommended Settings While default parameters are optimized for general use, consider: Crypto/Volatile Markets: May benefit from slightly higher multipliers Forex: Default settings work well for major pairs Stocks: Consider longer BB periods (250-300) for daily charts Lower Timeframes: Reduce all periods proportionally for scalping 📝 Alerts Built-in alert conditions for: BUY signal triggered SELL signal triggered EXIT signal triggered Set up notifications to never miss a trade opportunity! Disclaimer: This strategy is for educational and informational purposes only. Past performance does not guarantee future results. Always backtest thoroughly and practice proper risk management before live trading.
Indicatore Pine Script®
di TRW_meir
1
Adaptive CE-VWAP Breakout Framework [KedArc Quant]📘 Description A structured framework that unites three complementary systems into one charting engine: >Chandelier Exit (CE) – ATR-based trailing logic that defines trend direction, stop placement, and risk/reward overlays. >Swing-Anchored VWAP (SWAV) – a dynamically anchored VWAP that re-starts from each confirmed swing and adapts its smoothness to volatility. >Pivot S/R with Volume Breaks – confirmed horizontal levels with alerts when broken on expanding volume. This script builds a single workflow for bias → trigger → management>without mixing unrelated indicators. Each module is internally linked rather than layered cosmetically, making it a true analytical framework—not. 🙏 Acknowledgment Special thanks to Dynamic Swing Anchored VWAP by @Zeiierman, whose swing-anchoring concept inspired a part of the SWAV module’s implementation and adaptation logic. Support and Resistance Levels with Breaks by @luxalgo for S/R breakout logic. 🎯 How this helps traders >Trend clarity – CE color-codes direction and provides evolving stops. >Context value – SWAV traces adaptive mean paths so traders see where price is “heavy” or “light.” >Action filter – Pivot+volume logic highlights true structural breaks, filtering false moves. >Discipline tool – Optional R:R boxes visualize risk and target zones to enforce planning. 🧩 Entry / Exit guidelines (for study purposes only) Bias Use CE direction: green = long bias · red = short bias Entry 1. Breakout method>– Trade in CE direction when a pivot level breaks on valid volume. 2. VWAP confirmation>– Prefer breaks occurring around the nearest SWAV path (fair-value cross or re-test). Exit >Stop = CE line / recent swing HL / ATR × (multiplier) >Target = R-multiple × risk (default 2 R) >Optional live update keeps SL/TP aligned with current CE state. 🧮 Core formula concepts >ATR Stop: `Stop = High/Low – ATR × multiplier` >VWAP calc: `Σ(price × vol) / Σ(vol)` anchored at swing pivot, adapted by APT (Adaptive Price Tracking) ratio ∝ ATR volatility. >Volume oscillator: `100 × (EMA₅ – EMA₁₀)/EMA₁₀`; valid break when > threshold %. ⚙️ Input configuration (high-level) Master Controls • Show CE / SWAV modules • Theme & Fill opacity CE Section • ATR period & multiplier • Use Close for extremums • Show buy/sell labels • Await bar confirmation • Risk-Reward overlay: R-multiple, Stop basis (CE/Swing/ATR×), Live update toggle SWAV Section • Swing period • Adaptive Price Tracking length • Volatility bias (ATR-based adaptation) • Line width Pivot & Volume Breaks • Left/Right bar windows • Volume threshold % • Show Break labels and alerts ⏱ Best timeframes >Intraday: 5 m – 30 m for breakout confirmation >Swing: 1 h – 4 h for trend context Settings scale with instrument volatility—adjust ATR period and volume threshold to match liquidity. 📘 Glossary >ATR: Average True Range (volatility metric) >CE: Chandelier Exit (trailing stop/trend filter) >SWAV: Swing-Anchored VWAP (anchored mean price path) >Pivot H/L: Confirmed local extrema using left/right bar windows >R-multiple: Profit target as a multiple of initial risk 💬 FAQ Q: Does it repaint? A: No—pivots wait for confirmation and VWAP updates forward-only. Q: Can modules be disabled? A: Yes—each section has its own toggle. Q: Can it trade automatically? A: This is an indicator/study, not an auto-strategy. Q: Is this financial advice? A: No—educational use only. ⚠️ Disclaimer This script is for educational and analytical purposes only. It is not financial advice. Trading involves risk of loss. Past performance does not guarantee future results. Always apply sound risk management.
Indicatore Pine Script®
di kedarcquant
T3 ATR [DCAUT]█ T3 ATR 📊 ORIGINALITY & INNOVATION The T3 ATR indicator represents an important enhancement to the traditional Average True Range (ATR) indicator by incorporating the T3 (Tilson Triple Exponential Moving Average) smoothing algorithm. While standard ATR uses fixed RMA (Running Moving Average) smoothing, T3 ATR introduces a configurable volume factor parameter that allows traders to adjust the smoothing characteristics from highly responsive to heavily smoothed output. This innovation addresses a fundamental limitation of traditional ATR: the inability to adapt smoothing behavior without changing the calculation period. With T3 ATR, traders can maintain a consistent ATR period while adjusting the responsiveness through the volume factor, making the indicator adaptable to different trading styles, market conditions, and timeframes through a single unified implementation. The T3 algorithm's triple exponential smoothing with volume factor control provides improved signal quality by reducing noise while maintaining better responsiveness compared to traditional smoothing methods. This makes T3 ATR particularly valuable for traders who need to adapt their volatility measurement approach to varying market conditions without switching between multiple indicator configurations. 📐 MATHEMATICAL FOUNDATION The T3 ATR calculation process involves two distinct stages: Stage 1: True Range Calculation The True Range (TR) is calculated using the standard formula: TR = max(high - low, |high - close |, |low - close |) This captures the greatest of the current bar's range, the gap from the previous close to the current high, or the gap from the previous close to the current low, providing a comprehensive measure of price movement that accounts for gaps and limit moves. Stage 2: T3 Smoothing Application The True Range values are then smoothed using the T3 algorithm, which applies six exponential moving averages in succession: First Layer: e1 = EMA(TR, period), e2 = EMA(e1, period) Second Layer: e3 = EMA(e2, period), e4 = EMA(e3, period) Third Layer: e5 = EMA(e4, period), e6 = EMA(e5, period) Final Calculation: T3 = c1×e6 + c2×e5 + c3×e4 + c4×e3 The coefficients (c1, c2, c3, c4) are derived from the volume factor (VF) parameter: a = VF / 2 c1 = -a³ c2 = 3a² + 3a³ c3 = -6a² - 3a - 3a³ c4 = 1 + 3a + a³ + 3a² The volume factor parameter (0.0 to 1.0) controls the weighting of these coefficients, directly affecting the balance between responsiveness and smoothness: Lower VF values (approaching 0.0): Coefficients favor recent data, resulting in faster response to volatility changes with minimal lag but potentially more noise Higher VF values (approaching 1.0): Coefficients distribute weight more evenly across the smoothing layers, producing smoother output with reduced noise but slightly increased lag 📊 COMPREHENSIVE SIGNAL ANALYSIS Volatility Level Interpretation: High Absolute Values: Indicate strong price movements and elevated market activity, suggesting larger position risks and wider stop-loss requirements, often associated with trending markets or significant news events Low Absolute Values: Indicate subdued price movements and quiet market conditions, suggesting smaller position risks and tighter stop-loss opportunities, often associated with consolidation phases or low-volume periods Rapid Increases: Sharp spikes in T3 ATR often signal the beginning of significant price moves or market regime changes, providing early warning of increased trading risk Sustained High Levels: Extended periods of elevated T3 ATR indicate sustained trending conditions with persistent volatility, suitable for trend-following strategies Sustained Low Levels: Extended periods of low T3 ATR indicate range-bound conditions with suppressed volatility, suitable for mean-reversion strategies Volume Factor Impact on Signals: Low VF Settings (0.0-0.3): Produce responsive signals that quickly capture volatility changes, suitable for short-term trading but may generate more frequent color changes during minor fluctuations Medium VF Settings (0.4-0.7): Provide balanced signal quality with moderate responsiveness, filtering out minor noise while capturing significant volatility changes, suitable for swing trading High VF Settings (0.8-1.0): Generate smooth, stable signals that filter out most noise and focus on major volatility trends, suitable for position trading and long-term analysis 🎯 STRATEGIC APPLICATIONS Position Sizing Strategy: Determine your risk per trade (e.g., 1% of account capital - adjust based on your risk tolerance and experience) Decide your stop-loss distance multiplier (e.g., 2.0x T3 ATR - this varies by market and strategy, test different values) Calculate stop-loss distance: Stop Distance = Multiplier × Current T3 ATR Calculate position size: Position Size = (Account × Risk %) / Stop Distance Example: $10,000 account, 1% risk, T3 ATR = 50 points, 2x multiplier → Position Size = ($10,000 × 0.01) / (2 × 50) = $100 / 100 points = 1 unit per point Important: The ATR multiplier (1.5x - 3.0x) should be determined through backtesting for your specific instrument and strategy - using inappropriate multipliers may result in stops that are too tight (frequent stop-outs) or too wide (excessive losses) Adjust the volume factor to match your trading style: lower VF for responsive stop distances in short-term trading, higher VF for stable stop distances in position trading Dynamic Stop-Loss Placement: Determine your risk tolerance multiplier (typically 1.5x to 3.0x T3 ATR) For long positions: Set stop-loss at entry price minus (multiplier × current T3 ATR value) For short positions: Set stop-loss at entry price plus (multiplier × current T3 ATR value) Trail stop-losses by recalculating based on current T3 ATR as the trade progresses Adjust the volume factor based on desired stop-loss stability: higher VF for less frequent adjustments, lower VF for more adaptive stops Market Regime Identification: Calculate a reference volatility level using a longer-period moving average of T3 ATR (e.g., 50-period SMA) High Volatility Regime: Current T3 ATR significantly above reference (e.g., 120%+) - favor trend-following strategies, breakout trades, and wider targets Normal Volatility Regime: Current T3 ATR near reference (e.g., 80-120%) - employ standard trading strategies appropriate for prevailing market structure Low Volatility Regime: Current T3 ATR significantly below reference (e.g., <80%) - favor mean-reversion strategies, range trading, and prepare for potential volatility expansion Monitor T3 ATR trend direction and compare current values to recent history to identify regime transitions early Risk Management Implementation: Establish your maximum portfolio heat (total risk across all positions, typically 2-6% of capital) For each position: Calculate position size using the formula Position Size = (Account × Individual Risk %) / (ATR Multiplier × Current T3 ATR) When T3 ATR increases: Position sizes automatically decrease (same risk %, larger stop distance = smaller position) When T3 ATR decreases: Position sizes automatically increase (same risk %, smaller stop distance = larger position) This approach maintains constant dollar risk per trade regardless of market volatility changes Use consistent volume factor settings across all positions to ensure uniform risk measurement 📋 DETAILED PARAMETER CONFIGURATION ATR Length Parameter: Default Setting: 14 periods This is the standard ATR calculation period established by Welles Wilder, providing balanced volatility measurement that captures both short-term fluctuations and medium-term trends across most markets and timeframes Selection Principles: Shorter periods increase sensitivity to recent volatility changes and respond faster to market shifts, but may produce less stable readings Longer periods emphasize sustained volatility trends and filter out short-term noise, but respond more slowly to genuine regime changes The optimal period depends on your holding time, trading frequency, and the typical volatility cycle of your instrument Consider the timeframe you trade: Intraday traders typically use shorter periods, swing traders use intermediate periods, position traders use longer periods Practical Approach: Start with the default 14 periods and observe how well it captures volatility patterns relevant to your trading decisions If ATR seems too reactive to minor price movements: Increase the period until volatility readings better reflect meaningful market changes If ATR lags behind obvious volatility shifts that affect your trades: Decrease the period for faster response Match the period roughly to your typical holding time - if you hold positions for N bars, consider ATR periods in a similar range Test different periods using historical data for your specific instrument and strategy before committing to live trading T3 Volume Factor Parameter: Default Setting: 0.7 This setting provides a reasonable balance between responsiveness and smoothness for most market conditions and trading styles Understanding the Volume Factor: Lower values (closer to 0.0) reduce smoothing, allowing T3 ATR to respond more quickly to volatility changes but with less noise filtering Higher values (closer to 1.0) increase smoothing, producing more stable readings that focus on sustained volatility trends but respond more slowly The trade-off is between immediacy and stability - there is no universally optimal setting Selection Principles: Match to your decision speed: If you need to react quickly to volatility changes for entries/exits, use lower VF; if you're making longer-term risk assessments, use higher VF Match to market character: Noisier, choppier markets may benefit from higher VF for clearer signals; cleaner trending markets may work well with lower VF for faster response Match to your preference: Some traders prefer responsive indicators even with occasional false signals, others prefer stable indicators even with some delay Practical Adjustment Guidelines: Start with default 0.7 and observe how T3 ATR behavior aligns with your trading needs over multiple sessions If readings seem too unstable or noisy for your decisions: Try increasing VF toward 0.9-1.0 for heavier smoothing If the indicator lags too much behind volatility changes you care about: Try decreasing VF toward 0.3-0.5 for faster response Make meaningful adjustments (0.2-0.3 changes) rather than small increments - subtle differences are often imperceptible in practice Test adjustments in simulation or paper trading before applying to live positions 📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES Responsiveness Characteristics: The T3 smoothing algorithm provides improved responsiveness compared to traditional RMA smoothing used in standard ATR. The triple exponential design with volume factor control allows the indicator to respond more quickly to genuine volatility changes while maintaining the ability to filter noise through appropriate VF settings. This results in earlier detection of volatility regime changes compared to standard ATR, particularly valuable for risk management and position sizing adjustments. Signal Stability: Unlike simple smoothing methods that may produce erratic signals during transitional periods, T3 ATR's multi-layer exponential smoothing provides more stable signal progression. The volume factor parameter allows traders to tune signal stability to their preference, with higher VF settings producing remarkably smooth volatility profiles that help avoid overreaction to temporary market fluctuations. Comparison with Standard ATR: Adaptability: T3 ATR allows adjustment of smoothing characteristics through the volume factor without changing the ATR period, whereas standard ATR requires changing the period length to alter responsiveness, potentially affecting the fundamental volatility measurement Lag Reduction: At lower volume factor settings, T3 ATR responds more quickly to volatility changes than standard ATR with equivalent periods, providing earlier signals for risk management adjustments Noise Filtering: At higher volume factor settings, T3 ATR provides superior noise filtering compared to standard ATR, producing cleaner signals for long-term analysis without sacrificing volatility measurement accuracy Flexibility: A single T3 ATR configuration can serve multiple trading styles by adjusting only the volume factor, while standard ATR typically requires multiple instances with different periods for different trading applications Suitable Use Cases: T3 ATR is well-suited for the following scenarios: Dynamic Risk Management: When position sizing and stop-loss placement need to adapt quickly to changing volatility conditions Multi-Style Trading: When a single volatility indicator must serve different trading approaches (day trading, swing trading, position trading) Volatile Markets: When standard ATR produces too many false volatility signals during choppy conditions Systematic Trading: When algorithmic systems require a single, configurable volatility input that can be optimized for different instruments Market Regime Analysis: When clear identification of volatility expansion and contraction phases is critical for strategy selection Known Limitations: Like all technical indicators, T3 ATR has limitations that users should understand: Historical Nature: T3 ATR is calculated from historical price data and cannot predict future volatility with certainty Smoothing Trade-offs: The volume factor setting involves a trade-off between responsiveness and smoothness - no single setting is optimal for all market conditions Extreme Events: During unprecedented market events or gaps, T3 ATR may not immediately reflect the full scope of volatility until sufficient data is processed Relative Measurement: T3 ATR values are most meaningful in relative context (compared to recent history) rather than as absolute thresholds Market Context Required: T3 ATR measures volatility magnitude but does not indicate price direction or trend quality - it should be used in conjunction with directional analysis Performance Expectations: T3 ATR is designed to help traders measure and adapt to changing market volatility conditions. When properly configured and applied: It can help reduce position risk during volatile periods through appropriate position sizing It can help identify optimal times for more aggressive position sizing during stable periods It can improve stop-loss placement by adapting to current market conditions It can assist in strategy selection by identifying volatility regimes However, volatility measurement alone does not guarantee profitable trading. T3 ATR should be integrated into a comprehensive trading approach that includes directional analysis, proper risk management, and sound trading psychology. USAGE NOTES This indicator is designed for technical analysis and educational purposes. T3 ATR provides adaptive volatility measurement but has limitations and should not be used as the sole basis for trading decisions. The indicator measures historical volatility patterns, and past volatility characteristics do not guarantee future volatility behavior. Market conditions can change rapidly, and extreme events may produce volatility readings that fall outside historical norms. Traders should combine T3 ATR with directional analysis tools, support/resistance analysis, and other technical indicators to form a complete trading strategy. Proper backtesting and forward testing with appropriate risk management is essential before applying T3 ATR-based strategies to live trading. The volume factor parameter should be optimized for specific instruments and trading styles through careful testing rather than assuming default settings are optimal for all applications.
Indicatore Pine Script®
di DCAUT
RSI Bollinger Bands [DCAUT]█ RSI Bollinger Bands 📊 ORIGINALITY & INNOVATION The RSI Bollinger Bands indicator represents a meaningful advancement in momentum analysis by combining two proven technical tools: the Relative Strength Index (RSI) and Bollinger Bands. This combination addresses a significant limitation in traditional RSI analysis - the use of fixed overbought/oversold thresholds (typically 70/30) that fail to adapt to changing market volatility conditions. Core Innovation: Rather than relying on static threshold levels, this indicator applies Bollinger Bands statistical analysis directly to RSI values, creating dynamic zones that automatically adjust based on recent momentum volatility. This approach helps reduce false signals during low volatility periods while remaining sensitive to genuine extremes during high volatility conditions. Key Enhancements Over Traditional RSI: Dynamic Thresholds: Overbought/oversold zones adapt to market conditions automatically, eliminating the need for manual threshold adjustments across different instruments and timeframes Volatility Context: Band width provides immediate visual feedback about momentum volatility, helping traders distinguish between stable trends and erratic movements Reduced False Signals: During ranging markets, narrower bands filter out minor RSI fluctuations that would trigger traditional fixed-threshold signals Breakout Preparation: Band squeeze patterns (similar to price-based BB) signal potential momentum regime changes before they occur Self-Referencing Analysis: By measuring RSI against its own statistical behavior rather than arbitrary levels, the indicator provides more relevant context 📐 MATHEMATICAL FOUNDATION Two-Stage Calculation Process: Stage 1: RSI Calculation RSI = 100 - (100 / (1 + RS)) where RS = Average Gain / Average Loss over specified period The RSI normalizes price momentum into a bounded 0-100 scale, making it ideal for statistical band analysis. Stage 2: Bollinger Bands on RSI Basis = MA(RSI, BB Length) Upper Band = Basis + (StdDev(RSI, BB Length) × Multiplier) Lower Band = Basis - (StdDev(RSI, BB Length) × Multiplier) Band Width = Upper Band - Lower Band The Bollinger Bands measure RSI's standard deviation from its own moving average, creating statistically-derived dynamic zones. Statistical Interpretation: Under normal distribution assumptions with default 2.0 multiplier, approximately 95% of RSI values should fall within the bands Band touches represent statistically significant momentum extremes relative to recent behavior Band width expansion indicates increasing momentum volatility (strengthening trend or increasing uncertainty) Band width contraction signals momentum consolidation and potential regime change preparation 📊 COMPREHENSIVE SIGNAL ANALYSIS Visual Color Signals: This indicator features dynamic color fills that highlight extreme momentum conditions: Green Fill (Above Upper Band): Appears when RSI breaks above the upper band, indicating exceptionally strong bullish momentum Represents dynamic overbought zone - not necessarily a reversal signal but a warning of extreme conditions In strong uptrends, green fills can persist as RSI "rides the band" - this indicates sustained momentum strength Exit of green zone (RSI falling back below upper band) often signals initial momentum weakening Red Fill (Below Lower Band): Appears when RSI breaks below the lower band, indicating exceptionally weak bearish momentum Represents dynamic oversold zone - potential reversal or continuation signal depending on trend context In strong downtrends, red fills can persist as RSI "rides the band" - this indicates sustained selling pressure Exit of red zone (RSI rising back above lower band) often signals initial momentum recovery Position-Based Signals: Upper Band Interactions: RSI Touching Upper Band: Dynamic overbought condition - momentum is extremely strong relative to recent volatility, potential exhaustion or continuation depending on trend context RSI Riding Upper Band: Sustained strong momentum, often seen in powerful trends, not necessarily an immediate reversal signal but warrants monitoring for exhaustion RSI Crossing Below Upper Band: Initial momentum weakening signal, particularly significant if accompanied by price divergence Lower Band Interactions: RSI Touching Lower Band: Dynamic oversold condition - momentum is extremely weak relative to recent volatility, potential reversal or continuation of downtrend RSI Riding Lower Band: Sustained weak momentum, common in strong downtrends, monitor for potential exhaustion RSI Crossing Above Lower Band: Initial momentum strengthening signal, early indication of potential reversal or consolidation Basis Line Signals: RSI Above Basis: Bullish momentum regime - upward pressure dominant RSI Below Basis: Bearish momentum regime - downward pressure dominant Basis Crossovers: Momentum regime shifts, more significant when accompanied by band width changes RSI Oscillating Around Basis: Balanced momentum, often indicates ranging market conditions Volatility-Based Signals: Band Width Patterns: Narrow Bands (Squeeze): Momentum volatility compression, often precedes significant directional moves, similar to price coiling patterns Expanding Bands: Increasing momentum volatility, indicates trend acceleration or growing uncertainty Narrowest Band in 100 Bars: Extreme compression alert, high probability of upcoming volatility expansion Advanced Pattern Recognition: Divergence Analysis: Bullish Divergence: Price makes lower lows while RSI touches or stays above previous lower band touch, suggests downward momentum weakening Bearish Divergence: Price makes higher highs while RSI touches or stays below previous upper band touch, suggests upward momentum weakening Hidden Bullish: Price makes higher lows while RSI makes lower lows at the lower band, indicates strong underlying bullish momentum Hidden Bearish: Price makes lower highs while RSI makes higher highs at the upper band, indicates strong underlying bearish momentum Band Walk Patterns: Upper Band Walk: RSI consistently touching or staying near upper band indicates exceptionally strong trend, wait for clear break below basis before considering reversal Lower Band Walk: RSI consistently at lower band signals very weak momentum, requires break above basis for reversal confirmation 🎯 STRATEGIC APPLICATIONS Strategy 1: Mean Reversion Trading Setup Conditions: Market Type: Ranging or choppy markets with no clear directional trend Timeframe: Works best on lower timeframes (5m-1H) or during consolidation phases Band Characteristic: Normal to narrow band width Entry Rules: Long Entry: RSI touches or crosses below lower band, wait for RSI to start rising back toward basis before entry Short Entry: RSI touches or crosses above upper band, wait for RSI to start falling back toward basis before entry Confirmation: Use price action confirmation (candlestick reversal patterns) at band touches Exit Rules: Target: RSI returns to basis line or opposite band Stop Loss: Fixed percentage or below recent swing low/high Time Stop: Exit if position not profitable within expected timeframe Strategy 2: Trend Continuation Trading Setup Conditions: Market Type: Clear trending market with higher highs/lower lows Timeframe: Medium to higher timeframes (1H-Daily) Band Characteristic: Expanding or wide bands indicating strong momentum Entry Rules: Long Entry in Uptrend: Wait for RSI to pull back to basis line or slightly below, enter when RSI starts rising again Short Entry in Downtrend: Wait for RSI to rally to basis line or slightly above, enter when RSI starts falling again Avoid Counter-Trend: Do not fade RSI at bands during strong trends (band walk patterns) Exit Rules: Trailing Stop: Move stop to break-even when RSI reaches opposite band Trend Break: Exit when RSI crosses basis against trend direction with conviction Band Squeeze: Reduce position size when bands start narrowing significantly Strategy 3: Breakout Preparation Setup Conditions: Market Type: Consolidating market after significant move or at key technical levels Timeframe: Any timeframe, but longer timeframes provide more reliable breakouts Band Characteristic: Narrowest band width in recent 100 bars (squeeze alert) Preparation Phase: Identify band squeeze condition (bands at multi-period narrowest point) Monitor price action for consolidation patterns (triangles, rectangles, flags) Prepare bracket orders for both directions Wait for band expansion to begin Entry Execution: Breakout Confirmation: Enter in direction of RSI band breakout (RSI breaks above upper band or below lower band) Price Confirmation: Ensure price also breaks corresponding technical level Volume Confirmation: Look for volume expansion supporting the breakout Risk Management: Stop Loss: Place beyond consolidation pattern opposite extreme Position Sizing: Use smaller size due to false breakout risk Quick Exit: Exit immediately if RSI returns inside bands within 1-3 bars Strategy 4: Multi-Timeframe Analysis Timeframe Selection: Higher Timeframe: Daily or 4H for trend context Trading Timeframe: 1H or 15m for entry signals Confirmation Timeframe: 5m or 1m for precise entry timing Analysis Process: Trend Identification: Check higher timeframe RSI position relative to bands, trade only in direction of higher timeframe momentum Setup Formation: Wait for trading timeframe RSI to show pullback to basis in trending direction Entry Timing: Use confirmation timeframe RSI band touch or crossover for precise entry Alignment Confirmation: All timeframes should show RSI moving in same direction for highest probability setups 📋 DETAILED PARAMETER CONFIGURATION RSI Source: Close (Default): Standard price point, balances responsiveness and reliability HL2: Reduces noise from intrabar volatility, provides smoother RSI values HLC3 or OHLC4: Further smoothing for very choppy markets, slower to respond but more stable Volume-Weighted: Consider using VWAP or volume-weighted prices for additional liquidity context RSI Length Parameter: Shorter Periods (5-10): More responsive but generates more signals, suitable for scalping or very active trading, higher noise level Standard (14): Default and most widely used setting, proven balance between responsiveness and reliability, recommended starting point Longer Periods (21-30): Smoother momentum measurement, fewer but potentially more reliable signals, better for swing trading or position trading Optimization Note: Test across different market regimes, optimal length often varies by instrument volatility characteristics RSI MA Type Parameter: RMA (Default): Wilder's original smoothing method, provides traditional RSI behavior with balanced lag, most widely recognized and tested, recommended for standard technical analysis EMA: Exponential smoothing gives more weight to recent values, faster response to momentum changes, suitable for active trading and trending markets, reduces lag compared to RMA SMA: Simple average treats all periods equally, smoothest output with highest lag, best for filtering noise in choppy markets, useful for long-term position analysis WMA: Weighted average emphasizes recent data less aggressively than EMA, middle ground between SMA and EMA characteristics, balanced responsiveness for swing trading Advanced Options: Full access to 25+ moving average types including HMA (reduced lag), DEMA/TEMA (enhanced responsiveness), KAMA/FRAMA (adaptive behavior), T3 (smoothness), Kalman Filter (optimal estimation) Selection Guide: RMA for traditional analysis and backtesting consistency, EMA for faster signals in trending markets, SMA for stability in ranging markets, adaptive types (KAMA/FRAMA) for varying volatility regimes BB Length Parameter: Short Length (10-15): Tighter bands that react quickly to RSI changes, more frequent band touches, suitable for active trading styles Standard (20): Balanced approach providing meaningful statistical context without excessive lag Long Length (30-50): Smoother bands that filter minor RSI fluctuations, captures only significant momentum extremes, fewer but higher quality signals Relationship to RSI Length: Consider BB Length greater than RSI Length for cleaner signals BB MA Type Parameter: SMA (Default): Standard Bollinger Bands calculation using simple moving average for basis line, treats all periods equally, widely recognized and tested approach EMA: Exponential smoothing for basis line gives more weight to recent RSI values, creates more responsive bands that adapt faster to momentum changes, suitable for trending markets RMA: Wilder's smoothing provides consistent behavior aligned with traditional RSI when using RMA for both RSI and BB calculations WMA: Weighted average for basis line balances recent emphasis with historical context, middle ground between SMA and EMA responsiveness Advanced Options: Full access to 25+ moving average types for basis calculation, including HMA (reduced lag), DEMA/TEMA (enhanced responsiveness), KAMA/FRAMA (adaptive to volatility changes) Selection Guide: SMA for standard Bollinger Bands behavior and backtesting consistency, EMA for faster band adaptation in dynamic markets, matching RSI MA type creates unified smoothing behavior BB Multiplier Parameter: Conservative (1.5-1.8): Tighter bands resulting in more frequent touches, useful in low volatility environments, higher signal frequency but potentially more false signals Standard (2.0): Default setting representing approximately 95% confidence interval under normal distribution, widely accepted statistical threshold Aggressive (2.5-3.0): Wider bands capturing only extreme momentum conditions, fewer but potentially more significant signals, reduces false signals in high volatility Adaptive Approach: Consider adjusting multiplier based on instrument characteristics, lower multiplier for stable instruments, higher for volatile instruments Parameter Optimization Workflow: Start with default parameters (RSI:14, BB:20, Mult:2.0) Test across representative sample period including different market regimes Adjust RSI length based on desired responsiveness vs stability tradeoff Tune BB length to match your typical holding period Modify multiplier to achieve desired signal frequency Validate on out-of-sample data to avoid overfitting Document optimal parameters for different instruments and timeframes Reference Levels Display: Enabled (Default): Shows traditional 30/50/70 levels for comparison with dynamic bands, helps visualize the adaptive advantage Disabled: Cleaner chart focusing purely on dynamic zones, reduces visual clutter for experienced users Educational Value: Keeping reference levels visible helps understand how dynamic bands differ from fixed thresholds across varying market conditions 📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES Comparison with Traditional RSI: Fixed Threshold RSI Limitations: In ranging low-volatility markets: RSI rarely reaches 70/30, missing tradable extremes In trending high-volatility markets: RSI frequently breaks through 70/30, generating excessive false reversal signals Across different instruments: Same thresholds applied to volatile crypto and stable forex pairs produce inconsistent results Threshold Adjustment Problem: Manually changing thresholds for different conditions is subjective and lagging RSI Bollinger Bands Advantages: Automatic Adaptation: Bands adjust to current volatility regime without manual intervention Consistent Logic: Same statistical approach works across different instruments and timeframes Reduced False Signals: Band width filtering helps distinguish meaningful extremes from noise Additional Information: Band width provides volatility context missing in standard RSI Objective Extremes: Statistical basis (standard deviations) provides objective extreme definition Comparison with Price-Based Bollinger Bands: Price BB Characteristics: Measures absolute price volatility Affected by large price gaps and outliers Band position relative to price not normalized Difficult to compare across different price scales RSI BB Advantages: Normalized Scale: RSI's 0-100 bounds make band interpretation consistent across all instruments Momentum Focus: Directly measures momentum extremes rather than price extremes Reduced Gap Impact: RSI calculation smooths price gaps impact on band calculations Comparable Analysis: Same RSI BB appearance across stocks, forex, crypto enables consistent strategy application Performance Characteristics: Signal Quality: Higher Signal-to-Noise Ratio: Dynamic bands help filter RSI oscillations that don't represent meaningful extremes Context-Aware Alerts: Band width provides volatility context helping traders adjust position sizing and stop placement Reduced Whipsaws: During consolidations, narrower bands prevent premature signals from minor RSI movements Responsiveness: Adaptive Lag: Band calculation introduces some lag, but this lag is adaptive to current conditions rather than fixed Faster Than Manual Adjustment: Automatic band adjustment is faster than trader's ability to manually modify thresholds Balanced Approach: Combines RSI's inherent momentum lag with BB's statistical smoothing for stable yet responsive signals Versatility: Multi-Strategy Application: Supports both mean reversion (ranging markets) and trend continuation (trending markets) approaches Universal Instrument Coverage: Works effectively across equities, forex, commodities, cryptocurrencies without parameter changes Timeframe Agnostic: Same interpretation applies from 1-minute charts to monthly charts Limitations and Considerations: Known Limitations: Dual Lag Effect: Combines RSI's momentum lag with BB's statistical lag, making it less suitable for very short-term scalping Requires Volatility History: Needs sufficient bars for BB calculation, less effective immediately after major regime changes Statistical Assumptions: Assumes RSI values are somewhat normally distributed, extreme trending conditions may violate this Not a Standalone System: Like all indicators, should be combined with price action analysis and risk management Optimal Use Cases: Best for swing trading and position trading timeframes Most effective in markets with alternating volatility regimes Ideal for traders who use multiple instruments and timeframes Suitable for systematic trading approaches requiring consistent logic Suboptimal Conditions: Very low timeframes (< 5 minutes) where lag becomes problematic Instruments with extreme volatility spikes (gap-prone markets) Markets in strong persistent trends where mean reversion rarely occurs Periods immediately following major structural changes (new trading regime) USAGE NOTES This indicator is designed for technical analysis and educational purposes to help traders understand the interaction between momentum measurement and statistical volatility bands. The RSI Bollinger Bands has limitations and should not be used as the sole basis for trading decisions. Important Considerations: No Predictive Guarantee: Past band touches and patterns do not guarantee future price behavior Market Regime Dependency: Indicator performance varies significantly between trending and ranging market conditions Complementary Analysis Required: Should be used alongside price action, support/resistance levels, and fundamental analysis Risk Management Essential: Always use proper position sizing, stop losses, and risk controls regardless of signal quality Parameter Sensitivity: Different instruments and timeframes may require parameter optimization for optimal results Continuous Monitoring: Band characteristics change with market conditions, requiring ongoing assessment Recommended Supporting Analysis: Price structure analysis (support/resistance, trend lines) Volume confirmation for breakout signals Multiple timeframe alignment Market context awareness (news events, session times) Correlation analysis with related instruments The indicator aims to provide adaptive momentum analysis that adjusts to changing market volatility, but traders must apply sound judgment, proper risk management, and comprehensive market analysis in their decision-making process.
Indicatore Pine Script®
di DCAUT
Premarket Power Bar StrategyStep 1: Mark Your Levels Before the Open When: Between 9:00–9:25 AM ET Premarket High – the highest price before 9:30 AM Premarket Low – the lowest price before 9:30 AM
Use extended hours view on your chart platform. These levels act as magnets and turning points once the market opens. They form the foundation for your first trade of the day. Step 2: Let Price Come to the Level Do not chase early price action.
Wait for price to approach either the premarket high or low during regular market hours.
Look for a pause, hesitation, or test near the level. This keeps you from overtrading and forces you to wait for structure to form. Step 3: Watch for the Power Bar A power bar is a large-bodied candle with strong momentum and little to no wick on the opposite side.
It should form directly at the premarket level—not near it, not after a breakout. At the premarket low, a bullish power bar is your buy trigger. At the premarket high, a bearish power bar signals a short opportunity. No power bar? No trade. The level and the candle must come together to create the edge. (BONUS: As you identify specific patterns, eg, double bottoms, double tops, etc. look for those patterns near the premarket high or low) Step 4: Entry, Stop, and Target Entry: For longs: place your order just above the high of the bullish power bar For shorts: enter just below the low of the bearish power bar Stop: Long trade: just under the low of the power bar Short trade: just above the high of the power bar Profit Target Options: VWAP Prior day’s close Key support/resistance levels Keep your trade logic mechanical and consistent. Execution Guidelines Only trade when price reacts at your marked level Wait for the power bar to fully form before entering Do not jump in early or chase candles that form away from your levels
Indicatore Pine Script®
di elivgorelick
Mean Reverting Suite [OmegaTools]Overview The Mean Reverting Suits (MR Suite) by OmegaTools is an advanced analytical and visualization framework designed to identify directional exhaustion, statistical overextensions, and conditions consistent with mean-reversion dynamics. It integrates three pillars into a single display: a composite momentum-normalized oscillator, a percentile-based extension model with volume contextualization, and a dynamic structural mapping engine built on confirmed pivots. The indicator does not generate signals or prescribe trade actions; it provides objective context so users can evaluate market balance and the likelihood that price is departing from its recent statistical baseline. Core logic The composite oscillator blends MFI on two horizons and RSI on HL2, then averages them to produce a stabilized mean-reversion gauge. Candle and bar colors are mapped by a dual gradient centered at 50. Readings above 50 progressively shift from neutral gray toward the bearish accent color to reflect increasing momentum saturation; readings below 50 shift from the bullish accent color toward gray to reflect potential accumulation or temporary undervaluation. This continuous mapping avoids rigid thresholds and conveys the strength and decay of momentum as a smooth spectrum. The percentile-based extension model measures the persistence of directional bias by tracking how many bars have elapsed since the last opposing condition. These rolling counts are compared to the 80th percentile of their own historical distributions stored in arrays. When a current streak exceeds its respective percentile, the environment is labeled as statistically extended in that direction. Background shading communicates this information and is modulated by relative volume, computed as live volume divided by a blended average of SMA(30) and EMA(11). Higher opacity implies greater liquidity participation during the extension. The structural mapping module uses confirmed pivot highs and lows at the chosen length to create persistent horizontal levels that extend forward and automatically maintain themselves until price invalidates or refreshes them. These levels represent market memory zones and assist in reading where reactions previously formed. The engine updates in real time, ensuring the framework continuously reflects the prevailing structure. Standard deviation and z-score overlay The updated version introduces a mean and dispersion layer. A simple moving average of HL2 over twice the length provides the reference mean. Dispersion is estimated as the moving average of the absolute deviation between close and the mean over five times the length. The z-score is computed as the distance of price from the mean divided by this dispersion proxy. Visual arrows highlight observations where the absolute z-score exceeds two standard deviations, offering a concise view of statistically unusual departures from the local mean. This layer complements the percentile extension model by adding an orthogonal measure of extremity based on distributional distance rather than run length. Visualization Candle bodies and borders inherit the oscillator’s gradient color, creating an immediate sense of directional pressure and potential momentum fatigue. The chart background activates when the extension model detects a statistically rare streak, using blue tones for bearish extension and red tones for bullish extension, with intensity scaling by relative volume. Horizontal lines denote active pivot-based levels, automatically extending, truncating, and refreshing as structure evolves. The z-score arrows appear only when deviations exceed the ±2 threshold, keeping the display focused on noteworthy statistical events. Inputs and configuration Length controls the sensitivity of all modules. Lower values make the oscillator and pivot detection more reactive; higher values smooth readings and widen structural context. Bullish and Bearish colors are user-selectable to match platform themes or accessibility requirements. Interpretation guidance A strong red background indicates an unusually extended bullish run in the presence of meaningful volume; a strong blue background indicates an unusually extended bearish run in the presence of meaningful volume. Candle gradients near deep bearish tones suggest oscillator readings well above 50; gradients near deep bullish tones suggest oscillator readings well below 50. Pivot lines mark the most recently confirmed structural levels that the market has reacted to. Z-score arrows denote points where price has moved beyond approximately two standard deviations of its local mean, signaling statistically uncommon distance rather than directional persistence. None of these elements are directives; they are objective descriptors designed to improve situational awareness. Advantages The framework is adaptive by design and self-normalizes to each instrument’s volatility and rhythm through percentile logic and dispersion-based distance. It is volume-aware, visually encoding liquidity pressure so that users can distinguish thin extensions from structurally significant ones. It reduces chart clutter by unifying momentum state, statistical extension, standard deviation distance, and structural levels into a single coherent view. It is asset- and timeframe-agnostic, suitable for intraday through swing horizons across futures, equities, FX, and digital assets. Usage notes MR Suite is intended for analytical and educational purposes. It does not provide trading signals, risk parameters, or strategy instructions. Users may employ its context alongside their own methodologies, risk frameworks, and execution rules. The indicator’s value derives from quantifying how unusual a move is, showing how much liquidity supports it, and anchoring that information to evolving structural references, thereby improving the clarity and consistency of discretionary assessment without prescribing actions.
Indicatore Pine Script®
di OmegaTools
Parabolic SAR MTF LinesThe indicator shows the Parabolic SAR sign (price above or below the indicator) for several timeframes at once. You can see at a glance how the price is trending across higher and lower timeframes. Note that, for lower timeframes, the line becomes yellow to the left because history is limited and there are not enough bars to calculate. Other features (can be enabled in settings): * each line can be enabled or disabled individually, so that unused ones can be hidden. * simple trend detection based on the number of bullish and bearish timeframes; threshold can be changed in Settings. * "Score" output: counting the net number of bullish and bearish timeframes * "Trend" output: changes to bullish or bearish as the score goes over or under the threshold * background color (green or red according to trend). * alert for trend change. * another alert with a separate threshold score for flexibility. * score weights for further customization of trend detection and alerts. Input parameters are set in terms of score values instead of number of lines. * input options to choose alert modes for trend and extra alerts. The options are "once per bar close" (default), "once per bar", "every time". This indicator was based on MACD MTF Lines where all the logic and features came from.
Indicatore Pine Script®
di danilogalisteu
ATR% Multiple From MA - Overextensions trackingATR% Multiple From MA - Quantifiable Profit Taking Indicator This overlay indicator identifies overextended price moves by calculating how many ATR% multiples price is away from a moving average, providing objective profit-taking signals. Formula: A = ATR% = (ATR / Price) × 100 B = % Gain from MA = ((Price - MA) / MA) × 100 ATR% Multiple = B / A Signals: Yellow circle at 7x: Start scaling out partial profits Red circle at 10x+: Heavily overextended, aggressive profit taking recommended Stats table: Real-time ATR% Multiple, % Gain from MA, ATR%, and action status For very volatile markets I usually go for 10x and 15x extension instead of 7x and 10x. This method normalizes moves across different volatility environments, eliminating emotional decision-making. Historical examples include PLTR, SOFI, TSLA, NVDA which stalled after exceeding 10x. Customizable Settings: ATR Length (default: 14) MA Length (default: 50) Profit Zone thresholds (7x, 10x) Toggle circles and MA display
Indicatore Pine Script®
di nippe678
1
Squeeze Hour Frequency [CHE]Squeeze Hour Frequency (ATR-PR) — Standalone — Tracks daily squeeze occurrences by hour to reveal time-based volatility patterns Summary This indicator identifies periods of unusually low volatility, defined as squeezes, and tallies their frequency across each hour of the day over historical trading sessions. By aggregating counts into a sortable table, it helps users spot hours prone to these conditions, enabling better scheduling of trading activity to avoid or target specific intraday regimes. Signals gain robustness through percentile-based detection that adapts to recent volatility history, differing from fixed-threshold methods by focusing on relative lowness rather than absolute levels, which reduces false positives in varying market environments. Motivation: Why this design? Traders often face uneven intraday volatility, with certain hours showing clustered low-activity phases that precede or follow breakouts, leading to mistimed entries or overlooked calm periods. The core idea of hourly squeeze frequency addresses this by binning low-volatility events into 24 hourly slots and counting distinct daily occurrences, providing a historical profile of when squeezes cluster. This reveals time-of-day biases without relying on real-time alerts, allowing proactive adjustments to session focus. What’s different vs. standard approaches? - Reference baseline: Classical volatility tools like simple moving average crossovers or fixed ATR thresholds, which flag squeezes uniformly across the day. - Architecture differences: - Uses persistent arrays to track one squeeze per hour per day, preventing overcounting within sessions. - Employs custom sorting on ratio arrays for dynamic table display, prioritizing top or bottom performers. - Handles timezones explicitly to ensure consistent binning across global assets. - Practical effect: Charts show a persistent table ranking hours by squeeze share, making intraday patterns immediately visible—such as a top hour capturing over 20 percent of total events—unlike static overlays that ignore temporal distribution, which matters for avoiding low-liquidity traps in crypto or forex. How it works (technical) The indicator first computes a rolling volatility measure over a specified lookback period. It then derives a relative ranking of the current value against recent history within a window of bars. A squeeze is flagged when this ranking falls below a user-defined cutoff, indicating the value is among the lowest in the recent sample. On each bar, the local hour is extracted using the selected timezone. If a squeeze occurs and the bar has price data, the count for that hour increments only if no prior mark exists for the current day, using a persistent array to store the last marked day per hour. This ensures one tally per unique trading day per slot. At the final bar, arrays compile counts and ratios for all 24 hours, where the ratio represents each hour's share of total squeezes observed. These are sorted ascending or descending based on display mode, and the top or bottom subset populates the table. Background shading highlights live squeezes in red for visual confirmation. Initialization uses zero-filled arrays for counts and negative seeds for day tracking, with state persisting across bars via variable declarations. No higher timeframe data is pulled, so there is no repaint risk from external fetches; all logic runs on confirmed bars. Parameter Guide ATR Length — Controls the lookback for the volatility measure, influencing sensitivity to short-term fluctuations; shorter values increase responsiveness but add noise, longer ones smooth for stability — Default: 14 — Trade-offs/Tips: Use 10-20 for intraday charts to balance quick detection with fewer false squeezes; test on historical data to avoid over-smoothing in trending markets. Percentile Window (bars) — Sets the history depth for ranking the current volatility value, affecting how "low" is defined relative to past; wider windows emphasize long-term norms — Default: 252 — Trade-offs/Tips: 100-300 bars suit daily cycles; narrower for fast assets like crypto to catch recent regimes, but risks instability in sparse data. Squeeze threshold (PR < x) — Defines the cutoff for flagging low relative volatility, where values below this mark a squeeze; lower thresholds tighten detection for rarer events — Default: 10.0 — Trade-offs/Tips: 5-15 percent for conservative signals reducing false positives; raise to 20 for more frequent highlights in high-vol environments, monitoring for increased noise. Timezone — Specifies the reference for hourly binning, ensuring alignment with market sessions — Default: Exchange — Trade-offs/Tips: Set to "America/New_York" for US assets; mismatches can skew counts, so verify against chart timezone. Show Table — Toggles the results display, essential for reviewing frequencies — Default: true — Trade-offs/Tips: Disable on mobile for performance; pair with position tweaks for clean overlays. Pos — Places the table on the chart pane — Default: Top Right — Trade-offs/Tips: Bottom Left avoids candle occlusion on volatile charts. Font — Adjusts text readability in the table — Default: normal — Trade-offs/Tips: Tiny for dense views, large for emphasis on key hours. Dark — Applies high-contrast colors for visibility — Default: true — Trade-offs/Tips: Toggle false in light themes to prevent washout. Display — Filters table rows to focus on extremes or full list — Default: All — Trade-offs/Tips: Top 3 for quick scans of risky hours; Bottom 3 highlights safe low-squeeze periods. Reading & Interpretation Red background shading appears on bars meeting the squeeze condition, signaling current low relative volatility. The table lists hours as "H0" to "H23", with columns for daily squeeze counts, percentage share of total squeezes (summing to 100 percent across hours), and an arrow marker on the top hour. A summary row above details the peak count, its share, and the leading hour. A label at the last bar recaps total days observed, data-valid days, and top hour stats. Rising shares indicate clustering, suggesting regime persistence in that slot. Practical Workflows & Combinations - Trend following: Scan for hours with low squeeze shares to enter during stable regimes; confirm with higher highs or lower lows on the 15-minute chart, avoiding top-share hours post-news like tariff announcements. - Exits/Stops: Tighten stops in high-share hours to guard against sudden vol spikes; use the table to shift to conservative sizing outside peak squeeze times. - Multi-asset/Multi-TF: Defaults work across crypto pairs on 5-60 minute timeframes; for stocks, widen percentile window to 500 bars. Combine with volume oscillators—enter only if squeeze count is below average for the asset. Behavior, Constraints & Performance Logic executes on closed bars, with live bars updating counts provisionally but finalizing on confirmation; table refreshes only at the last bar, avoiding intrabar flicker. No security calls or higher timeframes, so no repaint from external data. Resources include a 5000-bar history limit, loops up to 24 iterations for sorting and totals, and arrays sized to 24 elements; labels and table are capped at 500 each for efficiency. Known limits: Skips hours without bars (e.g., weekends), assumes uniform data availability, and may undercount in sparse sessions; timezone shifts can alter profiles without warning. Sensible Defaults & Quick Tuning Start with ATR Length at 14, Percentile Window at 252, and threshold at 10.0 for broad crypto use. If too many squeezes flag (noisy table), raise threshold to 15.0 and narrow window to 100 for stricter relative lowness. For sluggish detection in calm markets, drop ATR Length to 10 and threshold to 5.0 to capture subtler dips. In high-vol assets, widen window to 500 and threshold to 20.0 for stability. What this indicator is—and isn’t This is a historical frequency tracker and visualization layer for intraday volatility patterns, best as a filter in multi-tool setups. It is not a standalone signal generator, predictive model, or risk manager—pair it with price action, news filters, and position sizing rules. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts. Best regards and happy trading Chervolino Thanks to Duyck for the ma sorter
Indicatore Pine Script®
di chervolino
Volume BubblesVolume Bubbles Indicator Introduction The Volume Bubbles indicator is a powerful tool designed to visually highlight significant volume spikes on your TradingView charts. It helps traders identify potential areas of whale accumulation (large buying activity) or dumping (large selling activity) by displaying colored bubbles on candles where volume exceeds a customizable threshold. Green bubbles indicate bullish (buy) volume on up candles, suggesting possible accumulation, while red bubbles signal bearish (sell) volume on down candles, indicating potential dumping. The bubble size scales with the volume magnitude, making it easy to spot major market moves at a glance. This indicator is particularly useful for crypto, forex, and stock traders looking to gauge market sentiment and large player involvement without cluttering the chart. It's built in Pine Script v5 and overlays directly on your price action. How It Works The indicator calculates a moving average of volume (default: 20-period SMA) and detects spikes when current volume exceeds this average by a multiplier (default: 2x). Buy Bubbles (Green): Appear on bullish candles (close >= open) at the low wick, representing potential whale buying or accumulation zones. Sell Bubbles (Red): Appear on bearish candles (close < open) at the high wick, indicating potential whale selling or dumping zones. Bubble Size: Dynamically sized based on volume thresholds – huge for >1M, large for 500K-1M, normal for <500K. Transparency: Increases with volume ratio for better visibility on extreme spikes. Tooltip: Hover over a bubble to see detailed info like total volume, average volume, and ratio. By focusing on these high-volume events, traders can spot key support/resistance levels where whales might be active. How to Use for Whale Accumulation and Dumping Whales (large holders) often move markets with high-volume trades. This indicator helps spot them: Accumulation (Buying): Look for clusters of large green bubbles at price lows or during consolidations. This suggests whales are buying dips, potentially signaling a reversal or uptrend start. Combine with support levels for confirmation. Dumping (Selling): Watch for big red bubbles at price highs or after rallies. This indicates whales unloading positions, which could lead to downtrends or corrections. Pair with resistance levels. Tips: Use on higher timeframes (e.g., 1H+) for reliable signals. Confirm with other indicators like RSI or MACD to avoid false positives. In trending markets, buy bubbles in uptrends confirm strength; sell bubbles in downtrends signal continuation. Credits and Disclaimer Inspired by volume analysis techniques. This is free to use; feedback welcome! Not financial advice – trade at your own risk.
Indicatore Pine Script®
di R2D2_4Life
1