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Multi-Metric Market Regime Detector - [KK]This indicator identifies current market behavioral regimes by synthesizing six complementary analytical methodologies. Rather than generating trading signals, it provides contextual analysis to help traders understand market conditions and adapt their strategies accordingly. Markets cycle through distinct behavioral states - trending efficiently, consolidating in ranges, compressing before breakouts, or transitioning between states. This tool quantifies these conditions using only price action data (OHLC), enabling traders to filter strategies based on current market structure. Core Methodology The indicator combines six independent metrics into a weighted composite classification system: Efficiency Ratio (30% weight) Measures the signal-to-noise ratio of price movement by comparing net price displacement to total path traveled. High efficiency indicates clean directional movement; low efficiency indicates choppy, noisy conditions. Choppiness Index (25% weight) Quantifies whether the market is trending or consolidating by comparing cumulative True Range to actual price range. Values below 38.2 suggest trending behavior; values above 61.8 suggest range-bound consolidation. Volatility Analysis (20% weight) Detects compression and expansion cycles using the relationship between Bollinger Bands and Keltner Channels. Compression phases (squeeze conditions) often precede significant directional moves. Fractal Efficiency Proxy (10% weight) Analyzes path complexity by comparing net displacement to cumulative range, providing insight into the smoothness versus randomness of price action. Market Structure (15% weight) Examines pivot point sequences to identify structural trends. Higher Highs and Higher Lows indicate bullish structure; Lower Lows and Lower Highs indicate bearish structure. Wick-to-Body Ratio Analysis (qualitative) Identifies rejection and indecision patterns by measuring the proportion of candle wicks to bodies, highlighting potential reversal zones or liquidity events. Regime Classifications The composite scoring system produces four distinct regime states: TRENDING : High efficiency, low choppiness, clear directional structure. Favorable conditions for momentum and trend-following strategies. CHOPPY/RANGE : Low efficiency, high choppiness, mean-reverting behavior. Favorable conditions for range trading and counter-trend setups. COMPRESSION : Volatility squeeze detected, market coiling. Anticipate expansion; reduce position size until breakout confirmation. TRANSITION : Mixed signals, conflicting metrics, unclear direction. Recommended to reduce exposure and wait for regime clarity. Visual Features Regime-Colored Candles (enabled by default) Candles are colored according to the current regime state for immediate visual identification. Green indicates trending, gray indicates choppy, orange indicates compression, and yellow indicates transition. Comprehensive Metrics Table (top right) Displays real-time values for all six metrics along with individual regime assessments and the final composite classification with score. Regime Guide Table (middle right) Quick reference guide showing recommended strategies and actions to avoid for each regime state. Chart Label ( optional) Summary label displaying current regime and key metric values. Background Coloring (optional) Alternative visualization using background colors instead of candle coloring. Indicator Plots (optional) Displays Efficiency Ratio and Choppiness Index with threshold reference lines. Customization Options All calculation parameters are adjustable: - Efficiency Ratio lookback period and thresholds - Choppiness Index length and classification thresholds - Volatility analysis parameters (BB/KC multipliers and lengths) - Pivot detection sensitivity (left/right bars) - Text size controls for both tables (Tiny to Huge) - Visual element toggles (candles, background, label, tables, plots) The indicator automatically detects chart theme (dark/light) and adjusts text colors for optimal readability. Practical Application This is a context tool, not a signal generator. Use it to: - Filter trend-following strategies to trending regimes only - Identify range-bound conditions for mean-reversion setups - Anticipate breakout opportunities during compression phases - Reduce exposure during transitional periods with mixed signals - Improve risk management by matching position size to regime clarity The indicator works on all timeframes and instruments using only OHLC data. Higher timeframes generally provide more stable regime classifications. Alert Conditions Four alert types are available: - Efficiency Ratio crosses trend threshold - Choppiness Index enters range territory - Volatility squeeze released - Regime state change detected Technical Notes Built with Pine Script v5. Uses up to 500 bars of historical data for stable calculations. All metrics are calculated in real-time with no repainting on confirmed pivots. Compatible with all chart themes through adaptive text coloring. Disclaimer This indicator is provided for educational and informational purposes only. It does not constitute financial advice or trading recommendations. Past performance and theoretical analysis do not guarantee future results. Always conduct independent research and implement appropriate risk management. Trading financial instruments involves substantial risk of loss. Usage Philosophy The goal is not to trade more frequently, but to think more clearly about market conditions. Use this tool to develop deeper intuition about market structure and to enforce discipline by avoiding low-probability setups during unfavorable regime conditions.
אינדיקטור Pine Script®
מאת ‎kaathvikishan‎
1
Advanced Footprint Analysis1. ABSORPTION = BEST ENTRY SIGNALS When BTC hits support and shows bullish absorption: You know big money is buying Price won't fall further (supply absorbed) Risk/reward is optimal (tight stop below absorption) Win rate on these setups is 70-80% 2. EXHAUSTION = REVERSAL TIMING Catches exact moment selling/buying pressure is exhausted No more guessing "is the dip over?" Volume confirms the reversal 3. IMBALANCES = CONTINUATION TRADES Stacked imbalances show trend strength Enter pullbacks in strong trends Avoid counter-trend trades when imbalance is strong 4. DELTA DIVERGENCE = EARLY WARNING Cumulative delta rising but price flat = accumulation (buy setup) Cumulative delta falling but price rising = distribution (sell setup) This divergence appears BEFORE price moves 5. FILTERS OUT NOISE Crypto has tons of fake volume and wash trading By requiring volume to be significantly above average (2x, 3x), you ignore the noise Only trade when institutions are active 6. WORKS ON ALL CRYPTO PAIRS BTC, ETH, SOL - same patterns Especially powerful on perpetual futures (more volume data) PRACTICAL 5M CRYPTO ALGO STRATEGY: LONG ENTRY: Wait for bullish absorption OR bullish exhaustion Confirm with positive stacked imbalances (3 bars) Enter when price breaks above absorption high Stop below absorption low Target: 2-3x risk or next resistance SHORT ENTRY: Wait for bearish absorption OR bearish exhaustion Confirm with negative stacked imbalances Enter when price breaks below absorption low Stop above absorption high Target: 2-3x risk or next support FILTER: Only trade in direction of cumulative delta trend Avoid when volume is below average (no institutional activity)
אינדיקטור Pine Script®
מאת ‎whitebronco‎
MAs + Bollinger Bands by @ETERNYWORLDMAs + Bollinger Bands by @ETERNYWORLD is the core trend and volatility layer inside the Trend Mastery Pro ecosystem, engineered by EternityWorld to deliver a clean, structured, and highly customizable market bias reading directly on the chart. What’s Inside the Indicator 5 independent Moving Averages (EMA or SMA) with individual enable/disable toggles, lengths, colors, and widths. Bollinger Bands with professional basis options: SMA, EMA, RMA/SMMA, WMA, VWMA, plus adjustable deviation multiplier and visual band fill. Chart overlay compatibility, making trend and volatility easy to interpret for fast decisions. Fully configurable alerts, enabling traders to stay proactive without missing high-probability expansion triggers. Enhanced by Trend Mastery Pro Workflow This indicator complements the 3-step methodology of Trend Mastery Pro: Bias → defines the dominant trend direction. Trigger → identifies breakout or momentum expansion zones using confluence with volatility. Management → supports consistent risk execution when combined with external strategy rules and trade plans. Key Strengths ✔ Unified trend + volatility envelope on chart ✔ Individual component control (no clutter, no guesswork) ✔ Noise reduction in consolidation environments ✔ Adaptable to crypto, forex, indices, commodities, and equities ✔ Reliable for intraday impulse plays and structured directional setups How to Use It Context: Align your analysis with the broader bias before execution. Signal: Watch for volatility expansion and trend alignment for breakout scenarios. Execution: Apply your risk plan (position size, partials, BE/trailing) based on your trading model. Best Practices 🛡️ Tune sensitivity according to asset volatility and timeframe horizon 🛡️ Avoid trading against dominant bias during compression phases 🛡️ Always validate through backtesting and forward testing before scaling 🛡️ Log performance and refine parameters iteratively Who It's For Traders who want: A repeatable and disciplined process A professional visual structure Less noise, more clarity, better bias alignment A premium indicator suite that supports real decision-making Compatibility Seamlessly works with any asset and timeframe on TradingView supporting chart overlay indicators. Alerts are designed to help monitoring without being glued to the screen. Disclaimer ⚠️ This product is not financial advice and does not guarantee results. Performance varies depending on market conditions, asset behavior, user configuration, and applied risk management. Always trade responsibly and follow your own risk plan.
אינדיקטור Pine Script®
מאת ‎ETERNYWORLD‎
Uptrick: Price Memory TrendIntroduction Uptrick: Price Memory Trend is a custom indicator designed to detect directional shifts and volatility changes using a non-traditional price memory approach. Unlike moving average systems, it builds a dynamic memory of price that adapts gradually over time, allowing it to detect significant deviations and trend transitions with reduced noise. Overview This script identifies trend changes by comparing the current price to a memory-based baseline. When price deviates significantly from this memory base, it triggers a trend regime shift—either bullish or bearish. Adaptive deviation bands are calculated using absolute deviation from the memory base, not ATR or standard deviation, which allows the indicator to capture volatility uniquely. Visual components include color-coded candles, labeled signals, optional bands, and a live status table summarizing current trend metrics. Originality The indicator’s core innovation lies in its use of a decaying memory function to track trend direction, replacing moving averages with a price memory that responds only to significant deviations. This method avoids lag typically associated with smoothing techniques, enabling timely trend detection. Furthermore, deviation is measured directly in price terms, rather than through volatility surrogates like ATR or Bollinger Bands, resulting in a more raw and responsive depiction of price behavior. Inputs Core Engine Memory Strength: Sets how strongly the memory responds to price changes. Higher values make the memory base more reactive. Memory Decay: Controls how much past memory is retained. Lower values weight new prices more heavily. Deviation Length: Length of the EMA used to smooth absolute price deviation. A longer setting results in smoother bands. Band Multiplier: Expands or contracts the dynamic bands. Higher values widen the bands, reducing sensitivity. Customization Color Palette: Selects one of six predefined color schemes for bull and bear visuals. Show Bands: Enables or disables the display of deviation bands. Look: Chooses between 'Bands', 'Trail', or 'Intense' styles, affecting how bands and fills are drawn. Bands Trail Intense Show Info Table: Toggles display of the real-time trend and volatility status panel. Table Position: Determines which corner of the chart the info panel appears in. Text Size: Adjusts font size used within the info table. Features Trend Detection Bullish Shift: Triggered when price crosses above the upper band, entering a new bullish regime. Bearish Shift: Triggered when price crosses below the lower band, entering a new bearish regime. Trend state is persistent and updated only on confirmed transitions, avoiding repeated entries in the same direction. Candle Coloring Candles are dynamically recolored based on current trend direction: bull, bear, or neutral. Signal Labels Visual labels marked "Up" or "Down" are placed on the chart when a regime shift occurs, helping to mark turning points. Deviation Bands Dynamic upper and lower bands are drawn based on smoothed absolute deviation from the memory base. Additional outer bands based on ATR may be drawn to highlight zone intensity when the 'Intense' or 'Trail' styles are selected. Bands visually indicate overextension and help frame price context relative to memory. Alerts Built-in alert conditions trigger on bullish or bearish trend shifts, useful for automation or notifications. Info Table The optional info table displays: Current trend direction Band state (calm, hot, or cool) Price stretch from base Trend age in bars Confidence level based on deviation Memory slope and acceleration Band width and compression state Reversion risk based on stretch level Info Table: Trade Example: Logic Price Memory A recursive formula updates a memory variable based on the current price. The memory adjusts only when the price deviates meaningfully from its previous value. The formula uses a combination of delta-weighting and exponential decay: > memory := previous_memory + delta × memory_strength > memory := memory × memory_decay + price × (1 - memory_decay) This produces a smooth, adaptive base that responds gradually to directional price moves. Deviation and Bands Absolute deviation between price and the memory base is calculated and smoothed using an EMA. The upper and lower bands are then calculated as: > Upper Band = memory base + (smoothed deviation × band multiplier) > Lower Band = memory base - (smoothed deviation × band multiplier) ATR-based extensions can optionally be drawn around these bands for added visual structure. Trend Logic Bullish and bearish states are tracked using crossovers and crossunders of price against the upper and lower bands. The indicator maintains a persistent trend state variable that updates only when a confirmed regime change occurs. This prevents multiple signals within the same trend direction (non-pyramiding behavior). Stretch and Band Analysis Stretch is measured as the deviation of price from memory, normalized by smoothed deviation. Band width is tracked over time and used to detect compression or expansion. Band position is calculated to identify where price sits between the upper and lower bands. Info Table Metrics Memory Slope and Acceleration: Show first and second derivative of the memory base to capture trend speed and change. Confidence Level: Based on stretch intensity, indicating trend strength. Reversion Risk: Inferred from how extended price is beyond the band. Compression: Evaluated by comparing current band width to its recent average. Summary Uptrick: Price Memory Trend provides an alternative framework for trend identification by replacing traditional smoothing with adaptive memory logic. It measures price deviation without reliance on ATR or standard deviation, instead focusing on distance from a reactive baseline. With regime-based trend tracking, customizable visuals, and a detailed status table, it supports both discretionary and system-driven trading styles. Disclaimer This script is for informational and educational purposes only. It does not provide financial advice or guarantees. Trading involves risk, and past performance is not indicative of future results. Always perform your own research before making trading decisions.
אינדיקטור Pine Script®
מאת ‎Uptrick‎
17
Adaptive Gaussian AFR# Adaptive Gaussian AFR (Average Filtering Range) The **Adaptive Gaussian AFR** is a sophisticated trend-following overlay designed to provide a "cleaner" perspective on market structure. It synthesizes advanced signal processing with volatility-adjusted trailing logic to create a perpetual trend indicator that filters noise while maintaining extreme responsiveness during momentum breakouts. ## How It Works This indicator combines three distinct mathematical principles to analyze and visualize price action: ### 1. 4-Pole Gaussian Smoothing Standard moving averages often suffer from a trade-off between smoothness and lag. By employing a **4-pole Gaussian filter**, the indicator applies a bell-curve weighting to price data. This results in a curve that is mathematically smoother than an EMA but reacts more sharply to significant price shocks. ### 2. Adaptive Volatility Scaling Unlike static indicators, this script utilizes a **Volatility Ratio** (comparing short-term ATR to long-term ATR). - **Expansion:** When volatility spikes, the Gaussian filter automatically shortens its lookback to "catch" the breakout. - **Contraction:** When the market consolidates, it lengthens the lookback to prevent "whipsaws" and false signals. ### 3. AFR (Average Filtering Range) Logic The "step-ladder" behavior is driven by the AFR logic. It calculates volatility-based boundaries (using an ATR factor). The trend line only moves higher if the price exceeds the current floor, and only moves lower if the price breaks the ceiling, creating a "perpetual" support and resistance level. ## Visual Interface & Branding The script features a high-visibility sentiment map using a custom brand color scheme: - **Bullish State (Blue - rgb(45, 162, 252)):** Triggered when price is trading above the Adaptive Gaussian mean and the AFR floor. - **Bearish State (Purple - rgb(113, 59, 249)):** Triggered when price breaks below the mean and the AFR ceiling. - **Brand Candles:** Price bars are automatically colored to match the trend state for immediate visual confirmation. ## Why This is Unique Most trend followers are "fixed"—they perform well in trending markets but fail in sideways chop. The uniqueness of the **Adaptive Gaussian AFR** lies in its ability to "breathe." Because the Gaussian engine is adaptive, it attempts to solve the "lag vs. noise" problem by becoming more rigid when the market is indecisive and more fluid when a trend is confirmed. ## Great inventions require great Care **This is not a standalone trading system.** While the Adaptive Gaussian AFR provides a highly refined view of the trend, it should be used in conjunction with other analysis tools. - **Lag:** Like all indicators based on historical data, the filter is inherently lagging and cannot predict future price movements. - **No Standalone Use:** Do not use this as your sole reason for entering or exiting a trade. It is best used as a **Trend Filter** or a **Volatility-Adjusted Entry/Exit Strategy in confluence with other tools**. - **Context Matters:** It does not account for fundamental news, higher-timeframe resistance, or volume profiles. Enjoy!
אינדיקטור Pine Script®
מאת ‎Mattes00‎
2
ATR Bands (MA Distance)ATR Bands (MA Distance) plots volatility-based bands at a multiple of ATR away from a selected moving average. Unlike percentage envelopes or standard deviation bands, this indicator measures distance from the moving average using ATR, representing the market’s normal “breathing range” rather than statistical probability. Key Features The center line is a selectable moving average (EMA, SMA, RMA/Wilder, or WMA). Upper and lower bands are calculated as: Moving Average ± ATR × Multiplier Band width automatically adapts to changing market volatility. Designed for consistent use across different markets and timeframes without parameter re-optimization. Non-repainting: all values are calculated only from confirmed historical bars. Intended Use ATR Bands (MA Distance) is best used as a context and preparation tool , not as a direct entry or exit signal. Typical use cases include: Identifying areas where price is extended relative to its recent volatility. Visualizing normal vs. stretched price distance from the moving average. Supporting range-based analysis or trade preparation when combined with other indicators (e.g., oscillators). Important Notes / How NOT to Use This indicator does NOT generate buy or sell signals by itself . Touching or crossing a band does not imply an automatic reversal. In strong trending markets, price may stay outside the bands for extended periods. ATR Bands should not be interpreted as overbought/oversold levels on their own. This indicator does NOT repaint. Once a bar is closed, its values will not change. For best results: Use ATR Bands as a preparation zone, then wait for confirmation from your own entry logic. Disable or ignore band-based mean-reversion ideas during strong trend conditions. Concept Summary (Short) ATR Bands (MA Distance) visualize how far price has moved from its moving average in terms of volatility, without repainting and without relying on percentage deviation or statistical assumptions. Optional Short Description (Preview) Volatility-based, non-repainting ATR bands plotted at a distance from a moving average. Designed for market context and trade preparation — not standalone signals.
אינדיקטור Pine Script®
מאת ‎SunnySpots‎
Padder Scalp - Manipulation Triangle + First 15m Session BoxThis indicator combines intraday manipulation detection with session‑based structure and key candlestick pattern labeling to support precision scalp trading. 1. Manipulation Candle Detection (Daily ATR‑Based) The script calculates the Daily ATR(14) and compares each intraday candle’s range to it. If a candle’s range is ≥ 20% of the daily ATR, it is flagged as a potential manipulation candle. A purple triangle is plotted beneath any candle that meets this threshold, helping traders quickly spot abnormal volatility spikes that often precede liquidity grabs or engineered moves. 2. First 15‑Minute RTH Session Box (9:30–9:45 AM) Designed for use on a 15‑minute chart, the script automatically identifies the first bar of the regular trading session (RTH). When the 9:30–9:45 candle prints: - Its high and low are captured - A session box is created using those levels - The box extends across the entire trading day This provides a consistent structural reference point for opening‑range dynamics, liquidity sweeps, and intraday bias. 3. Automatic Box Extension Once the first RTH candle is detected, the script draws a blue box from that candle’s high/low and continuously extends it to the right for the remainder of the session. This creates a persistent visual anchor for: - Breakouts - Retests - Rejections - Mean‑reversion scalps 4. Candlestick Pattern Detection + Labels The script identifies and labels four high‑value reversal/continuation patterns: - Bullish Engulfing → green label above the candle - Bearish Engulfing → red label below the candle - Hammer → yellow label below the candle - Inverted Hammer → orange label above the candle These labels help traders quickly spot actionable price‑action signals without manually scanning every bar. Overall Purpose This tool blends volatility‑based manipulation detection, opening‑range structure, and real‑time candlestick pattern recognition into a single, clean visual system. It’s built for scalpers and intraday traders who rely on: - Opening‑range levels - Liquidity cues - Manipulation signals - Price‑action confirmation to time entries with precision.
אינדיקטור Pine Script®
מאת ‎alexh1166‎
MoBo Bands - Momentum Breakout IndicatorDESCRIPTION MoBo Bands (Momentum Breakout Bands) is a volatility-based breakout detection indicator that helps traders identify potential momentum shifts in the market. The indicator uses dynamic bands calculated from standard deviation to signal when price breaks above or below established ranges, indicating potential bullish or bearish momentum changes. ═════════════════════════════════════════════════════════════ KEY FEATURES ═════════════════════════════════════════════════════════════ - Dynamic upper and lower bands based on standard deviation - Color-coded bands that change based on breakout direction (green for bullish, red for bearish) - Visual breakout arrows marking entry points above/below bands - Optional colored fill zones between bands showing current momentum state - Customizable displacement for band projection - Built-in alert system for breakout and breakdown signals ═════════════════════════════════════════════════════════════ HOW IT WORKS ═════════════════════════════════════════════════════════════ The indicator calculates a middle line using a Simple Moving Average (SMA) with upper and lower bands positioned using standard deviation multipliers. When price closes above the upper band, a bullish breakout (green) is signaled. When price closes below the lower band, a bearish breakdown (red) is signaled. The bands and fill zones remain colored until the opposite signal occurs, providing clear visual confirmation of the current momentum state. ═════════════════════════════════════════════════════════════ CUSTOMIZABLE INPUTS ═════════════════════════════════════════════════════════════ CALCULATION PARAMETERS: - Price Source - Select which price data to use (default: close) - Length - Period for SMA and standard deviation calculation (default: 10) - Num Dev Up - Standard deviation multiplier for upper band (default: 0.8) - Num Dev Down - Standard deviation multiplier for lower band (default: -0.8) - Displace - Shift bands forward for projection analysis (default: 0) DISPLAY OPTIONS: - Colored Mobo - Enable/disable color-coded bands - Colored Fill - Enable/disable fill zones between bands - Break Arrows - Show/hide breakout and breakdown arrows ALERT OPTIONS: - Show Alerts - Enable/disable alert conditions ═════════════════════════════════════════════════════════════ USAGE GUIDE ═════════════════════════════════════════════════════════════ Watch for price to close outside the bands as potential breakout signals: BULLISH BREAKOUT: Green arrow appears below the lower band when price closes above the upper band, indicating upward momentum shift. BEARISH BREAKDOWN: Red arrow appears above the upper band when price closes below the lower band, indicating downward momentum shift. The bands also serve as dynamic support and resistance levels. When bands are green, momentum is bullish. When bands are red, momentum is bearish. ═════════════════════════════════════════════════════════════ BEST PRACTICES ═════════════════════════════════════════════════════════════ - This indicator works well on liquid futures contracts (MNQ, MES, MYM, MGC, MCL) and major currency pairs across multiple timeframes - Lower deviation values (0.5-1.0) produce more frequent signals suitable for scalping - Higher deviation values (1.5-2.5) filter for stronger breakouts ideal for swing trading - Combine with volume indicators for additional confirmation - Use with momentum oscillators to validate breakout strength - Best results in trending market conditions - Consider the overall market context and trend direction ════════════════════════════════════════════════════════════ ALERT CONFIGURATION ═════════════════════════════════════════════════════════════ Configure custom alerts for automated notifications: - "MoBo BreakOUT" - Triggers on bullish breakout signals - "MoBo BreakDOWN" - Triggers on bearish breakdown signals Set alerts to "Once Per Bar Close" for confirmed signals and avoid false triggers during bar development. ═════════════════════════════════════════════════════════════ IDEAL FOR ═════════════════════════════════════════════════════════════ - Day traders and scalpers on futures markets - Swing traders looking for momentum shifts - Breakout trading strategies - Trend following systems - Works on stocks, forex, crypto, and commodities - Effective across multiple timeframes (1min to daily) ═════════════════════════════════════════════════════════════ Perfect for traders seeking clear visual breakout signals with minimal lag. The color-coded system and arrow markers make it easy to identify momentum changes at a glance. © 2024 NPR21 | Mozilla Public License 2.0 Open-source script NPR21 Disclaimer The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by
אינדיקטור Pine Script®
מאת ‎NPR21‎
2
VWATR Stop-Loss BandsPurpose The script provides an adaptive stop‑loss framework built from VWATR, it anchors protective levels to price extremes and scales them with both volatility and volume. The objective is to create stop‑loss zones that reflect real market intensity rather than arbitrary fixed distances. How it works The script computes true range, multiplies it by volume, and smooths both the volume‑weighted range and raw volume using the selected moving average, their ratio forms VWATR, a volatility measure normalized by traded volume. It then calculates the standard deviation of VWATR to capture volatility‑of‑volatility. Stop‑loss levels are constructed by offsetting the low and high by one VWATR, with additional layers created by adding or subtracting one to five standard deviations. The plots use strong colors for core levels and progressively lighter tones for outer layers, establishing a clear visual hierarchy. Rationale This structure gives the trader stop‑loss levels that adapt to changing market conditions, expanding during high‑energy phases and contracting during quiet periods, which reduces premature stop‑outs and aligns risk with actual volatility. The standard deviation layers provide a graded map of volatility stress, allowing the user to assess how far price must travel to breach increasingly extreme thresholds. The result is a stop‑loss system that is both reactive and context‑aware, offering more informed decision‑making than static offsets.
אינדיקטור Pine Script®
מאת ‎chriskokal1‎
VAM Pro (Multi-Model) [Final]Volatility Adjusted Momentum (VAM) Pro+ is a professional quantitative tool designed to measure trend strength by normalizing momentum against market volatility. Standard momentum indicators often fail during high-volatility periods because they treat every price change the same regardless of market noise. This indicator solves that problem by scaling price changes based on their statistical significance using Z-Score logic. This Pro+ version is specifically optimized for Scalping and Intraday Trading by introducing advanced volatility estimators and mathematical horizon adjustments that superior to classic standard deviation models. The indicator allows you to choose the most suitable volatility model for your specific asset class. The Parkinson Volatility model is highly recommended for Crypto markets because it uses the High-Low range instead of just close prices, effectively capturing intraday wicks and liquidation spikes that standard deviation often misses. For Equities and Forex, the Garman-Klass model is the most efficient choice as it utilizes the full Open-High-Low-Close data set to account for opening gaps and professional trading ranges. The mathematical core of the script features a strict Horizon Adjustment based on the Square Root of Time rule. This aligns the one-bar volatility risk with your chosen momentum lookback period to ensure a mathematically consistent calculation. By default, the script uses Logarithmic Returns to maintain scale invariance, which is critical for assets with high percentage swings like Cryptocurrencies. To trade with VAM Pro, look for the histogram color and its relation to the Zero line. A Green histogram indicates positive volatility-adjusted momentum where bulls are dominant, while a Red histogram shows bearish dominance. Values reaching the +2.0 or -2.0 Sigma levels represent statistically extreme moves that often act as exhaustion points or precede strong mean-reversion opportunities. When the histogram crosses the yellow signal line, it provides an early warning that the current momentum is fading. Investment involves risk. The Volatility Adjusted Momentum (VAM) Pro+ is an analytical tool and does not constitute financial advice, investment recommendations, or an offer to buy or sell any security. Past performance is not indicative of future results. Market conditions can change rapidly, and technical indicators may produce false signals. Always perform your own due diligence, use proper risk management, and consult with a certified financial advisor before making any trading decisions. The author assumes no responsibility for any financial losses incurred through the use of this script.
אינדיקטור Pine Script®
מאת ‎fihrist‎
Options Liquidity Meter (OLM)❓ The question behind this indicator When trading options, it is common to experience situations where price moves in the expected direction, yet the option contract does not increase in value as anticipated. This typically happens when one or more of the following conditions is missing: Insufficient liquidity participation Lack of volatility expansion Weak or passive order flow Options Liquidity Meter (OLM) was created to address this specific question: “If price moves from here, are there conditions for option premiums to actually expand?” 🎯 What this indicator does Options Liquidity Meter is a context tool, not a trading system. It evaluates whether the current market environment is favorable for option premium expansion , based on three core engines: Liquidity (Relative Volume) Measures whether price movement is supported by meaningful participation. Volatility State Identifies compression, release, and expansion phases, where options tend to respond differently. Order Flow Activity (OBV-based) Acts as a proxy for active vs. passive participation, helping filter hollow moves. These components are combined into a single, easy-to-read options context. 🟢🟡🔴 Options Context Output The indicator displays one consolidated state: RED — NO EXPANSION Price may move, but option premiums often do not respond. YELLOW — BUILDING Liquidity or volatility is developing. Conditions are improving but not fully aligned. GREEN — EXPANSION LIKELY Liquidity, volatility expansion, and active flow are aligned. This is a favorable environment for option premium expansion. The same logic is reflected visually through the background color and summarized in the dashboard. 📊 How to read the dashboard The dashboard shows: Liquidity: LOW / OK / HIGH Volatility: COMPRESSED / RELEASED / EXPANDING Order Flow: FLAT / ACTIVE Options Context: NO EXPANSION / BUILDING / EXPANSION LIKELY Below, a Background Color Meaning section explains what each color represents, making the indicator intuitive and educational. 📍 Where to apply this indicator Options Liquidity Meter must be applied to the underlying asset chart, such as: Indices (SPY, SPX, QQQ, etc.) Stocks Futures ETFs It is not designed to be applied to option contracts themselves. The indicator evaluates the market conditions of the underlying, which are the drivers that influence option premium behavior. Contract selection (strike, delta, gamma, expiration) remains the trader’s responsibility. 🧠 How to use it Use your own methodology to define: Direction Structure Entries and exits Use Options Liquidity Meter to evaluate: Whether the current environment supports option premium expansion If the context is RED, be cautious — price may move without rewarding options. If the context is GREEN, the environment is statistically more favorable for options responsiveness. 🔗 Complementary tools Options Liquidity Meter is designed to complement, not replace, other tools. It works well alongside: Opening Path Selector (EMA200 Context Tool) For deciding which asset offers the cleanest directional context. Multi-Tool VWAP + EMAs (Multi-Timeframe) + Key Levels For in-chart structure, bias, and reference levels. Each tool addresses a different stage of the decision process and can be used independently. ⚠️ Important notes This indicator provides context only It does not generate trading signals No indicator guarantees results Use at your own risk.
אינדיקטור Pine Script®
מאת ‎mlicero‎
2
SNIPER Trend Continuation V1TC SNIPER (Trend Continuation) ### When to Use - Market is **OUT OF BALANCE** (trending, momentum) - Clear **displacement** away from prior value - **New York session** (AVOID London open fakeouts!) - Strong directional moves with follow-through ### The Setup Sequence ``` 1. IMPULSE DETECTED └── Strong directional move (2× ATR+) └── Multiple momentum bars └── Price above/below fast EMA 2. LVN ZONE IDENTIFIED └── 23.6% - 61.8% Fibonacci retracement └── Low volume pullback area 3. PRICE PULLS BACK TO LVN └── Retraces into the zone └── Volume decreases (exhaustion) 4. AGGRESSION CONFIRMATION └── Entry candle in trend direction └── Volume spikes (1.3×+ average) └── Fat body, minimal adverse wick └── EMA alignment confirms trend 5. ENTRY → TARGET: PREV POC ```
אינדיקטור Pine Script®
מאת ‎alexandrodisla‎
SNIPER Mean Reversion V1MR SNIPER (Mean Reversion) ### When to Use - Market is **IN BALANCE** (ranging, consolidating) - Price **breaks out but FAILS** to hold - **London session** or compressed summer conditions - Failed breakouts returning to value ### The Setup Sequence ``` 1. BALANCE DETECTED └── Price rotating around POC 2. BREAKOUT ATTEMPT └── Price pushes beyond Value Area 3. FAILURE + RECLAIM ← KEY MOMENT └── Price comes BACK inside balance └── DO NOT trade first move back! 4. PULLBACK INTO LVN └── Wait for pullback after reclaim 5. AGGRESSION CONFIRMATION └── Entry candle shows buy/sell pressure └── Volume elevated (1.2×+ average) └── Fat body (60%+ of range) 6. ENTRY → TARGET: POC ``` ### Signal Labels - **MR↑** = Mean Reversion Long (failed breakdown) - **MR↓** = Mean Reversion Short (failed breakout) - **S/A/B** = Signal quality tier ### Risk Management - **Stop**: Below recent low (long) / Above recent high (short) - **Target**: POC (center of value) - **Risk**: 0.25-0.5% per trade
אינדיקטור Pine Script®
מאת ‎alexandrodisla‎
Positive Volatility Ratio (Vol+ / Vol-) Positive Volatility Ratio (Vol+ / Vol-) This indicator measures whether an asset’s volatility is driven mainly by upward or downward price movements over a given time window. How it works: - Daily returns are calculated. - Positive and negative returns are separated. - The standard deviation of each group is computed. - The Vol+ / Vol- ratio compares how much volatility comes from upward moves versus downward moves. Interpretation: - Ratio > 1 → volatility dominated by upside moves (cleaner momentum). - Ratio ≈ 1 → symmetric movement / noise. - Ratio < 1 → volatility dominated by downside moves (not ideal for momentum). Recommended use: - Use as a pre-filter for the trading universe. - Do not use as an entry or exit signal. - Always combine with trend and liquidity filters. Notes: - This is not a standard or predictive indicator. - It does not replace risk management or stop-loss rules. - Longer lookback windows (60–120 days) tend to be more robust. */
אינדיקטור Pine Script®
מאת ‎danavillanueva‎
SCR Signals(개요) 스토캐스틱, CCI, RSI를 결합한 지표입니다. 편의상 SCR이라고 명명할게요 * 블로거 'SOXL연구원님의 SCR을 지표화했습니다. (지표설명) 1. 스토캐스틱은 %K길이, %K스무딩, %D스무딩이 각각 5,1,3 이 기본입니다. 어퍼밴드(과매수)는 80, 로우어밴드(과매도)는 20이며 설정해서 수정 가능합니다. 2. CCI는 길이 20이 기본입니다. 어퍼밴드(과매수)는 100, 로우어밴드(과매도)는 -100이며 역시 설정에서 변경가능합니다. 3. RSI 길이 14가 기본입니다. 어퍼밴드(과매수)는 70, 로우어밴드(과매도)는 30이며 역시 설정에서 변경가능합니다. (시그널) 세개 지표 중 1개지표가 동시에 과매수 해소되는 순간 S1, 2개지표가 동시에 과매수 해소되는 순간 S2, 3개지표 동시에 과매수 해소시 S3로 하고 캔들 위쪽에 표시 / 세개 지표 중 1개지표가 과매도 진입시 B1, 2개지표가 동시에 과매도 진입시 B2, 3개지표가 동시에 과매도 진입시 B3로 하고 캔들 아래쪽에 표시 Overview SCR is a combined signal system built from Stochastic, CCI, and RSI. For convenience, I call this indicator SCR. This script is an implementation/visualization of the SCR concept shared by the blogger “SOXL Researcher” (SOXL연구원). Indicator Settings Stochastic Default parameters: %K Length = 5, %K Smoothing = 1, %D Smoothing = 3 Default bands: Overbought (Upper) = 80, Oversold (Lower) = 20 All values can be changed in the settings. CCI Default length: 20 Default bands: Overbought (Upper) = 100, Oversold (Lower) = -100 All values can be changed in the settings. RSI Default length: 14 Default bands: Overbought (Upper) = 70, Oversold (Lower) = 30 All values can be changed in the settings. Signals (Plotted on the Main Price Chart) Signals are generated when the indicators trigger their conditions on the same bar (simultaneously). Overbought Resolution Signals (S) — plotted above candles S1: Exactly 1 of the three indicators resolves overbT (overbought resolution) on the same bar S2: Exactly 2 indicators resolve overbought on the same bar S3: All 3 indicators resolve overbought on the same bar Oversold Entry Signals (B) — plotted below candles B1: Exactly 1 of the three indicators enters oversold on the same bar B2: Exactly 2 indicators enter oversold on the same bar B3: All 3 indicators enter oversold on the same bar
אינדיקטור Pine Script®
מאת ‎lisnuby‎
Golden Vector Trend Orchestrator (GVTO)Golden Vector Trend Orchestrator (GVTO) is a composite trend-following strategy specifically engineered for XAUUSD (Gold) and volatile assets on H4 (4-Hour) and Daily timeframes. This script aims to solve a common problem in trend trading: "Whipsaws in Sideways Markets." Instead of relying on a single indicator, GVTO employs a Multi-Factor Confluence System that filters out low-probability trades by requiring alignment across Trend Structure, Momentum, and Volatility. 🛠 Methodology & Logic The strategy executes trades only when four distinct technical conditions overlap (Confluence). If any single condition is not met, the trade is filtered out to preserve capital. 1. Market Structure Filter (200 EMA) Indicator: Exponential Moving Average (Length 200). Logic: The 200 EMA acts as the baseline for the long-term trend regime. Bullish Regime: Price must close above the 200 EMA. Bearish Regime: Price must close below the 200 EMA. Purpose: Prevents counter-trend trading against the macro direction. 2. Signal Trigger & Trailing Stop (Supertrend) Indicator: Supertrend (ATR Length 14, Factor 3.5). Logic: Uses Average True Range (ATR) to detect trend reversals while accounting for volatility. Purpose: Provides the specific entry signal and acts as a dynamic trailing stop-loss to let profits run while cutting losses when the trend invalidates. 3. Volatility Gatekeeper (ADX Filter) Indicator: Average Directional Index (Length 14). Threshold: > 25. Logic: A high ADX value indicates a strong trend presence, regardless of direction. Purpose: This is the most critical filter. It prevents the strategy from entering trades during "choppy" or ranging markets (consolidation zones) where trend-following systems typically fail. 4. Momentum Confirmation (DMI) Indicator: Directional Movement Index (DI+ and DI-). Logic: Checks if the buying pressure (DI+) is physically stronger than selling pressure (DI-), or vice versa. Purpose: Ensures that the price movement is backed by genuine momentum, not just a momentary price spike. 📋 How to Use This Strategy 🟢 LONG (BUY) Setup A Buy signal is generated only when ALL of the following occur simultaneously: Price Action: Price closes ABOVE the 200 EMA (Orange Line). Trigger: Supertrend flips to GREEN (Bullish). Strength: ADX is greater than 25 (Strong Trend). Momentum: DI+ (Plus Directional Indicator) is greater than DI- (Minus). 🔴 SHORT (SELL) Setup A Sell signal is generated only when ALL of the following occur simultaneously: Price Action: Price closes BELOW the 200 EMA (Orange Line). Trigger: Supertrend flips to RED (Bearish). Strength: ADX is greater than 25 (Strong Trend). Momentum: DI- (Minus Directional Indicator) is greater than DI+ (Plus). 🛡 Exit Strategy Stop Loss / Take Profit: The strategy utilizes the Supertrend Line as a dynamic Trailing Stop. Exit Long: When Supertrend turns Red. Exit Short: When Supertrend turns Green. Note: Traders can also use the real-time P/L Dashboard included in the script to manually secure profits based on their personal Risk:Reward ratio. 📊 Included Features Real-Time P/L Dashboard: A table in the top-right corner displays the current trend status, ADX strength, and the Unrealized Profit/Loss % of the current active position. Smart Labeling: Buy/Sell labels are coded to appear only on the initial entry trigger. They do not repaint and do not spam the chart if the trend continues (no pyramiding visualization). Visual Aids: Background color changes (Green/Red) to visually represent the active trend based on the Supertrend status. ⚠️ Risk Warning & Best Practices Asset Class: Optimized for XAUUSD (Gold) due to its high volatility nature. It also works well on Crypto (BTC, ETH) and Major Forex Pairs. Timeframe: Highly recommended for H4 (4 Hours) or D1 (Daily). Using this on lower timeframes (M5, M15) may result in false signals due to market noise. News Events: Automated strategies cannot predict economic news (CPI, NFP). Exercise caution or pause trading during high-impact economic releases.
אסטרטגיית Pine Script®
מאת ‎Gustav_Rex‎
2
Market Entropy [Alpha Extract]A sophisticated information theory-based market analysis system that measures price randomness and structural order using Shannon entropy calculations across price, returns, and volume distributions. Utilizing adaptive percentile-based thresholds and multi-timeframe confirmation, this indicator delivers institutional-grade regime classification distinguishing between structured trending conditions and chaotic ranging environments. The system's composite entropy framework combined with dynamic gradient visualization and MTF alignment validation provides comprehensive market state assessment for optimal strategy selection and risk management. 🔶 Advanced Shannon Entropy Engine Implements pure information theory methodology using histogram distribution analysis with configurable bin counts to calculate normalized entropy values for price, returns, and volume metrics. The system constructs probability distributions from rolling windows, applies logarithmic entropy calculations, and normalizes against theoretical maximum entropy to produce 0-1 bounded measurements of market randomness and predictability. float entropy = 0.0 float total = float(len) for i = 0 to bins - 1 float count = array.get(bin_counts, i) if count > 0 float prob = count / total entropy -= prob * math.log(prob) / math.log(2) float max_entropy = math.log(bins) / math.log(2) result := entropy / max_entropy 🔶 Adaptive Percentile Threshold System Features intelligent threshold determination using rolling percentile calculations over configurable calibration periods to establish structure and chaos zones that adapt to changing market characteristics. The system calculates lower percentile for structure threshold (ordered markets) and upper percentile for chaos threshold (random markets), enabling regime classification that adjusts automatically to market evolution. 🔶 Multi-Timeframe Alignment Framework Implements comprehensive MTF entropy analysis retrieving composite entropy from three configurable higher timeframes with alignment validation logic. The system calculates divergence between current timeframe entropy and higher timeframe values, generating confirmation signals only when all timeframes exhibit entropy agreement within tolerance bands for enhanced signal reliability. 🔶 Three-Regime Classification Engine Provides sophisticated market state determination classifying conditions as structure (entropy below lower threshold), chaos (entropy above upper threshold), or neutral (entropy between thresholds) with regime strength measurement. The system tracks regime transitions and calculates conviction scores based on distance from thresholds, enabling nuanced assessment of market order versus randomness. 🔶 Composite Entropy Architecture Combines three distinct entropy measurements weighted by relevance to create unified market randomness metric with exponential smoothing for stability. The system applies 40% weight to price entropy (distribution shape), 35% to return entropy (movement patterns), and 25% to volume entropy (participation randomness), capturing comprehensive market microstructure information. 🔶 Dynamic Gradient Visualization System Features advanced color blending engine that transitions between primary and secondary colors based on entropy momentum intensity with glow effects for conviction emphasis. The system calculates entropy rate of change, normalizes against recent extremes, and applies smooth color interpolation from secondary to primary hues as momentum intensifies, creating intuitive visual representation of regime strength. 🔶 Intelligent Zone Fill Architecture Implements multi-layer gradient fills within structure and chaos zones that intensify as entropy moves deeper into extremes, providing immediate visual feedback on regime conviction. The system creates three-tier gradient levels at 33%, 66%, and 100% penetration into zones with progressively lower transparency, emphasizing extreme entropy conditions requiring attention. 🔶 Momentum-Based Divergence Detection Generates entry signals when entropy crosses below bull divergence level or above bear divergence level, identifying potential regime transitions before price confirmation. The system monitors entropy momentum direction during threshold crossings and validates with MTF alignment, producing high-probability reversal signals at entropy extremes. 🔶 Normalized Display Framework Provides 0-100 scaled visualization using adaptive min-max normalization calculated from percentile analysis, ensuring consistent visual interpretation across different market conditions and instruments. The system transforms raw composite entropy into normalized space with dynamic thresholds, enabling cross-market and cross-timeframe entropy comparison. 🔶 Regime Strength Measurement Calculates conviction scores measuring depth of entropy penetration into structure or chaos zones relative to historical ranges, quantifying how definitively current conditions favor trending versus ranging strategies. The system produces 0-1 strength values that modulate visual intensity and can inform position sizing or strategy allocation decisions. 🔶 Performance Optimization Framework Utilizes efficient array operations with optimized histogram calculations and configurable lookback limits to balance accuracy with computational efficiency. The system includes intelligent caching of percentile calculations and streamlined probability summations for smooth real-time entropy updates across extended historical periods. 🔶 Why Choose Market Entropy ? This indicator delivers sophisticated market regime analysis through pure information theory methodology measuring actual randomness versus structure in price behavior. Unlike traditional volatility or trend indicators that measure price movement characteristics, Market Entropy quantifies the fundamental predictability of market conditions using Shannon entropy calculations. The system's composite approach combining price, return, and volume distributions with adaptive thresholds, MTF confirmation, and gradient visualization makes it essential for traders seeking objective regime classification to optimize strategy selection. Low entropy (structure zone) indicates ordered, trending conditions favorable for directional strategies, while high entropy (chaos zone) signals random, ranging markets better suited for mean reversion or reduced exposure. The indicator excels at identifying regime transitions before they become obvious in price action across cryptocurrency, forex, and equity markets.
אינדיקטור Pine Script®
מאת ‎AlphaExtract‎
Algomist.app v1.0🚀 WMA Crossover Momentum Scalper: Algomist.app AUTO-EXECUTION This strategy is a momentum-based trend-following system optimized for fully automated, high-frequency trade execution via algomist.app webhooks. It systematically enters trades based on a powerful moving average crossover, confirmed by both volume and volatility filters. ⚙️ Core Strategy Logic This script is designed to capture short- to medium-term moves in trending markets by combining three key indicators: Trend Confirmation (WMA Crossover): The primary signal is generated when a Fast WMA (50-period) crosses the Slow WMA (100-period). This crossover confirms the shift in the prevailing trend direction. Volume Filter (VWAP): The trade is only taken if the price is trading above the VWAP for Long entries, or below the VWAP for Short entries. This ensures the trade is aligned with the asset's average price relative to trading volume. Volatility Filter (ATR): A minimum Average True Range (ATR) filter is applied. This is critical for avoiding entries during periods of extreme low volatility ("chop"), ensuring the market has enough movement to justify the trade. 🔗 Algomist.app Automation Ready This is the most important feature. The script contains custom-coded alert() functions that output a perfect JSON payload, making it 100% compatible with the algomist.app webhook infrastructure. Seamless Execution: The strategy instantly transmits all required parameters—symbol, side, entry_price, dynamic stop_loss, and dynamic take_profit—directly to your MT5 terminal through the algomist.app connector. Simple Setup: To enable live automation, you only need to configure a TradingView alert using the provided webhook URL and the {{strategy.order.alert_message}} placeholder on the bar's close. Default Asset: The webhook is pre-configured to trade the ETHUSDC symbol. This can be easily adapted to other crypto or Forex pairs within the algomist.app settings. 🛡️ Dynamic Risk Management (ATR-Based) Risk management is dynamic, ensuring the Stop Loss and Take Profit levels automatically adapt to current market volatility: Stop Loss (SL): Placed at a customizable (x) * ATR distance from the entry price. The default setting is 3.0x ATR. Take Profit (TP): Placed at a customizable (x) * ATR distance from the entry price. The default setting is 9.0x ATR, offering a fixed Reward-to-Risk ratio of 3:1 (9.0 / 3.0). Position Sizing: The script uses strategy.percent_of_equity = 10% for backtesting, but the algomist.app execution is based on an internal calculation using a small percentage (e.g., 5%) of a leveraged notional value for illustrative purposes. Users must set their risk size within the algomist.app platform. Disclaimer: This script is provided as an example for Algomist.app users and is NOT financial advice. Backtest thoroughly across various assets and timeframes. Past performance is not indicative of future results. The user assumes all responsibility for live trading risk.
אסטרטגיית Pine Script®
מאת ‎Algomist_‎
Bollinger BandWidth (Session-Adjusted)Description This indicator is a session-adjusted version of Bollinger BandWidth (BBW), specifically designed for instruments with limited trading hours, such as European stock indices (e.g., FTSE MIB, DAX, CAC, which trades from 09:00 to 17:30 CET — 8.5 hours) or individual stocks. Standard Bollinger BandWidth on intraday charts can be distorted because calculations include non-trading periods (flat prices overnight), leading to inaccurate volatility readings.This script dynamically adjusts the Bollinger Bands calculation to approximate daily periods based on the actual trading session length, ensuring the BBW reflects true market volatility during active hours. Key Features Session-Adjusted Bollinger Bands: The lookback period (default 20 days) is converted into an equivalent number of intraday candles based on your chart's timeframe and the session duration. This makes the indicator suitable for intraday timeframes (e.g., 5min, 15min, 1H) on limited-session assets. Bollinger BandWidth (BBW) as Percentage: Plots (Upper Band - Lower Band) / Middle Band * 100, a relative measure of volatility (higher values = wider bands = higher volatility). Dynamic Expansion and Contraction Levels: Red line: Highest BBW over the selected expansion lookback period (default 25 days) — highlights peak volatility levels. Green line: Lowest BBW over the selected contraction lookback period (default 25 days) — highlights extreme squeezes (low volatility). Fully customizable inputs for session hours, BB parameters, and dynamic level periods. How It Works Session Adjustment: Input session duration (default 8.5 hours). The script calculates approximate candles per trading day for your current chart timeframe. Bollinger Bands are computed using length * candlesPerDay bars, simulating a true multi-day calculation within intraday data. BBW Calculation: Basis: Simple Moving Average (SMA). Deviation: Multiplier × Standard Deviation. BBW = (2 × Deviation / Basis) × 100. Dynamic Lines: Expansion line uses the same session-adjusted period for highest BBW. Contraction line uses the lowest BBW. Usage and Trading Ideas Bollinger BandWidth is a powerful volatility indicator popularized by John Bollinger. Low BBW values indicate band contraction ("Squeeze") — periods of low volatility often followed by strong breakouts. High BBW values indicate expansion — trending or volatile phases that may exhaust and lead to consolidation. Squeeze Setup: Watch for BBW dropping toward or below the dynamic low (green) line. This signals potential impending volatility expansion and breakout opportunities. Expansion Confirmation: BBW rising above the dynamic high (red) line suggests strong volatility — useful for trend-following or avoiding counter-trend trades. Combine with price action (e.g., break of support/resistance), volume, or momentum indicators (RSI, MACD) for directional bias. Ideal for intraday or swing trading on European indices, stocks, or other limited-session instruments where standard BBW would be misleading. This adjustment makes the indicator more accurate on lower timeframes compared to built-in versions, providing cleaner volatility signals aligned with real trading sessions. Enjoy the script — feedback welcome!
אינדיקטור Pine Script®
מאת ‎fpsantoro‎