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TGFA Flexible Alerts Multi-MA CrossoversTGFA Flexible Alerts, Multi-MA Crossovers Description Flexible MA crossovers with BUY/SELL alerts, customizable candle colors, and an info box for ATR/volatility insights. Supports EMA/SMA/HMA/VWAP on any chart. Overview TGFA Flexible Alerts is a versatile Pine Script indicator for traders seeking customizable moving average (MA) crossovers, visual signals, and quick-reference metrics. It overlays crossover lines (e.g., fast EMA over slow SMA), generates BUY/SELL labels and alerts, colors candles based on themes, and includes an optional info box with ATR bands, support/resistance, and trend projections. Built for any symbol and timeframe (optimized for 1H intraday), it auto-detects Heikin Ashi charts and handles mixed MA types like responsive HMA with lagging EMAs. All logic uses built-in TA functions for reliability—no repainting on confirmed bars. Key Features MA Crossover Engine: Configurable lines (EMA, SMA, HMA, VWAP) with dynamic colors (HMA tints green/red based on slope). Enable/disable via inputs. Invert Signals Toggle: Flips BUY/SELL logic for mixed MA setups (e.g., HMA as fast line over EMA). Reasoning: Traditional crossovers assume a fast line (low lag) crossing above a slow line (high lag) for buys. HMA's hull design makes it ultra-responsive, so it may "lead" too aggressively—causing premature signals. Inverting aligns it with user intuition (e.g., HMA dipping below then recovering signals strength), reducing false positives in trending markets. Test on your pairs! Visual Alerts: BUY/SELL labels at crossover price (with optional price display and offset adjustment). Single MA Overlays: Independent plots for EMA/SMA/HMA/VWAP (length 0 to hide). Info Box: Real-time table with current price, ±1/2 ATR bands, median price (over lookback), trend (SMA50 slope), volatility % (ATR normalized), support/resistance (recent highs/lows), and reversal projections (tied to SMA50 pivot for up/down bias). Candle Coloring: 20+ themes (dark/light canvases) for bull/bear/reversal/low-volume bars—e.g., Emerald Blaze greens uptrends, dims on low vol. Toggle off for no changes. Chart Source Flexibility: Auto-switches to Heikin Ashi if detected; manual override for Regular/HA. Alerts fire on crossovers/crossunders (custom messages with ticker/interval). Open-source for forking. How to Use Add to Chart: Search in TradingView's public library, apply to any symbol (e.g., stocks, forex). Best on 1H for intraday, but works on daily/weekly too. Setup Crossovers: Choose Line 1/2 types/lengths (e.g., HMA 9 over SMA 20). Enable "Invert Signals" if using HMA—prevents lag mismatches in volatile assets. Alerts & Labels: Toggle labels for visuals; set TradingView alerts on "Buy"/"Sell" conditions. Use offset for crowded charts. Info Box Insights: Enable for quick scans—e.g., enter long near support if trend is bullish and price > median. Adjust ATR length (default 14) for sensitivity. Candle Themes: Pick a scheme (e.g., Neon Pulse for dark mode); it overrides bar colors without altering data. Customization Tip: For HMA-heavy setups, invert + short lengths (5-9) catch turns early; pair with volume filter in alerts. Limitations & Disclaimers - Designed for overlay on price charts; may overlap in tight ranges—adjust transparency via styles. HMA can repaint intra-bar; signals confirm on close. Not back tested for all assets—validate with strategy tester. Info box projections use SMA(50) as a trend pivot (same for up/down as reference); customize via code for advanced calcs. Candle colors are cosmetic only. This is an analysis tool, not advice. Trading involves risk; combine with fundamentals/news. Past performance isn't indicative of future results. No liability for losses. I'm still a newbie, so feedback encouraged! Thank you!! ThisGirl
Indicador Pine Script®
por thisgirl
Vol-Pace Projected-ATR-ADX-Alert-MAThe VolSC indicator analyzes stock volume trends with a focus on the Pace metric, which projects today's volume as a percentage of the 30-day average, highlighting unusual activity (e.g., over 200% turns bright green with alerts). The phantom projection bar, a wide green histogram to the right of the last bar, visually represents this projected volume on daily charts only, aiding quick identification of potential volume surges without cluttering intraday or weekly views. Additional features include ADX strength, ATR averages, and customizable table display for comprehensive insights. Key Features: * Primary Indicator: Volume with ADX (Average Directional Index) text. * Pacing and Alerts: Calculates the volume pace for the day. Features an unusual volume alert with an adjustable threshold (e.g., 200%). * Volume Projection: Projects a visual "Phantom Volume" for the day, offset to the right of the actual volume bar. * ATR Indicator: Displays the 2x ATR (Average True Range) value as text. * Volume Average: Displays the ADV (Average Daily Volume) Moving Average as text. * Customization: Most settings are adjustable.
Indicador Pine Script®
por zyphlus
2
DTM 444 BANDS 🚀DTM 444 BANDS 🚀: The DTM 444 BANDS 🚀 is a powerful, multi-purpose trading indicator combining Supertrend, Dynamic Band Levels, Breakout Signals, and Volume Confirmation to help traders identify high-probability trade setups across different timeframes. 🔧 Key Features ✅ Multi-Timeframe Support Analyze price action across any timeframe using the Timeframe input. All band calculations (High, Low, Midline, and Supertrend) are pulled from a higher timeframe for clearer context. ✅ Dynamic Bands Based on Supertrend High Band: Rolling highest of Supertrend over hiLen period. Low Band: Rolling lowest of Supertrend over loLen period. Midline: Midpoint of the above. Acts like dynamic support/resistance, ideal for trend-following and breakout strategies. ✅ Dual Signal System Breakout Signals (Buy and Sell): Triggered when price breaks the bands with volume confirmation. Supertrend Crossover Signals (Buy1 and Sell1): Classic momentum entries with a confirmation twist. Exit Signals: Optional take-profit/neutral indicators when price reverses. ✅ Volume Confirmation Filter (Optional) Only triggers signals if the volume exceeds its 20-period SMA. Helps filter out false breakouts and weak trends in low-liquidity periods. ✅ Visual Enhancements Color-coded candles based on band positioning (e.g., red = weak, green = strong, etc.) On-chart labels for each signal for quick reference. Real-time Signal Dashboard using Pine Script tables showing: Current signal Volume filter status Live volume vs volume SMA 🧪 Practical Use Cases Trend Traders: Use the Supertrend cross and band breakouts to ride trends early. Breakout Traders: Catch high-probability moves outside established ranges. Swing Traders: Time entries and exits using color-coded bars and exit labels. Volume-Sensitive Traders: Focus on trades with strong volume backing. 📊 Backtest Snapshot Based on the example chart for Reliance Industries (RELIANCE.NS) on the weekly timeframe: Several profitable buy and breakout signals during uptrends. Timely exits and breakdown alerts before reversals. Volume filter keeps trades clean and avoids noise. ⚙️ Customizable Parameters High Length and Low Length (default: 19) Supertrend Multiplier and ATR Length Volume Filter: Toggle ON/OFF Volume SMA Length: Default 20 Custom Timeframe: Choose any higher timeframe for multi-timeframe analysis 📢 Alerts Ready Fully integrated with TradingView alerts: Breakout & Breakdown Supertrend crossovers All alerts respect the volume filter setting 🏁 Final Thoughts DTM 444 BANDS 🚀 is a versatile and adaptive trading system that blends trend analysis, volatility bands, and volume validation. Whether you're a trend trader, breakout hunter, or swing trader — this tool gives you a structured edge with clear visual cues and real-time alerts.
Indicador Pine Script®
por KUMARSTOCKS
Multi-Timeframe Trend ImprovedMulti-Timeframe Trend Improved — Volatility Stop & Trend Change Alerts This script tracks trend direction across four customizable timeframes using a Volatility Stop method based on ATR. It displays: VolStop levels and trend direction (Uptrend/Downtrend) per timeframe. Bars since the last trend change in each timeframe. A customizable table showing all data with color-coded trends. Visual alerts via triangle shapes on the chart when a trend change occurs. 🔧 Fully configurable: Timeframes (e.g., 65min, 4H, Daily, Weekly) ATR length, multiplier, and smoothing Table location, font size, border width, and label color Ideal for traders who want a clear multi-timeframe overview of market trends and volatility-based support/resistance levels.
Indicador Pine Script®
por ikendler
Seasonal Pattern DecoderSeasonal Pattern Decoder The Seasonal Pattern Decoder is a powerful tool designed for traders and analysts who want to uncover and leverage seasonal tendencies in financial markets. Instead of cluttering your chart with complex visuals, this indicator presents a clean, intuitive table that summarizes historical monthly performance, allowing you to spot recurring patterns at a glance. How It Works The indicator fetches historical monthly data for any symbol and calculates the percentage return for each month over a specified number of years. It then organizes this data into a comprehensive table, providing a clear, year-by-year and month-by-month breakdown of performance. Key Features Historical Performance Table: Displays monthly returns for up to a user-defined number of years, making it easy to compare performance across different periods. Color-Coded Heatmap: Each cell is colored based on the performance of the month. Strong positive returns are shaded in green, while strong negative returns are shaded in red, allowing for immediate visual analysis of monthly strength or weakness. Annual Summary: A "Σ" column shows the total percentage return for each full calendar year. AVG Row: Calculates and displays the average return for each month across all the years shown in the table. WR Row: Shows the "Win Rate" for each month, which is the percentage of time that month had a positive return. This is crucial for identifying high-probability seasonal trends. How to Use Add the "Seasonal Pattern Decoder" indicator to your chart. Note that it works best on Daily, Weekly, or Monthly timeframes. A warning message will be displayed on intraday charts. In the indicator settings, adjust the "Lookback Period" to control how many years of historical data you want to analyze. Use the "Show Years Descending" option to sort the table from the most recent year to the oldest. The "Heat Range" setting allows you to adjust the sensitivity of the color-coding to fit the volatility of the asset you are analyzing. This tool is ideal for confirming trading biases, developing seasonal strategies, or simply gaining a deeper understanding of an asset's typical behavior throughout the year. ## 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.
Indicador Pine Script®
por dchunt-stack
Market Structure DashboardThis indicator displays a **multi-timeframe dashboard** that helps traders track market structure across several horizons: Monthly, Weekly, Daily, H4, H1, M15, and M5. It identifies the current trend (Bullish, Bearish, or Neutral) based on the progression of **swing highs and lows** (HH/HL, LH/LL). For each timeframe, the dashboard shows: * The **current structure** (Bullish, Bearish, Neutral) with a clear color code (green, red, gray). * **Pivot information**: * either the latest swing high/low values, * or the exact date and time of their occurrence (user-selectable in the settings). An integrated **alert system** notifies you whenever the market structure changes (e.g., "Daily: Neutral → Bullish"). ### Key Features: * Clear overview of multi-timeframe market structures. * Customizable pivot info display (values or timestamps). * Built-in alerts on trend changes. * Compact and readable dashboard, displayed in the top-right corner of the chart. This tool is ideal for traders who want to quickly assess the **overall market structure** across multiple timeframes and be instantly alerted to potential reversals.
Indicador Pine Script®
por g_pasquereau59
Market Sentiment Trend Gauge [LevelUp]Market Sentiment Trend Gauge simplifies technical analysis by mathematically combining momentum, trend direction, volatility position, and comparison against a market benchmark, into a single trend score from -100 to +100. Displayed in a separate pane below your chart, it resolves conflicting signals from RSI, moving averages, Bollinger Bands, and market correlations, providing clear insights into trend direction, strength, and relative performance. THE PROBLEM MARKET SENTIMENT TREND GAUGE (MSTG) SOLVES Traditional indicators often produce conflicting signals, such as RSI showing overbought while prices rise or moving averages indicating an uptrend despite market underperformance. MSTG creates a weighted composite score to answer: "What's the overall bias for this asset?" KEY COMPONENTS AND WEIGHTINGS The trend score combines ▪ Momentum (25%): Normalized 14-period RSI, capped at ±100. ▪ Trend Direction (35%): 10/21-period EMA relationships, ▪ Volatility Position (20%): Price position, 20-period Bollinger Bands, capped at ±100. ▪ Market Comparison (20%): Daily performance vs. SPY benchmark, capped at ±100. Final score = Weighted sum, smoothed with 5-period EMA. INTERPRETING THE MSTG CHART Trend Score Ranges and Colors ▪ Bright Green (>+30): Strong bullish; ideal for long entries. ▪ Light Green (+10 to +30): Weak bullish; cautiously favorable. ▪ Gray (-10 to +10): Neutral; avoid directional trades. ▪ Light Red (-10 to -30): Weak bearish; exercise caution. ▪ Bright Red (<-30): Strong bearish; high-risk for longs, consider shorts. Reference Lines ▪ Zero Line (Gray): Separates bullish/bearish; crossovers signal trend changes. ▪ ±30 Lines (Dotted, Green/Red): Thresholds for strong trends. ▪ ±60 Lines (Dashed, Green/Red): Extreme strength zones (not overbought/oversold); manage risk (tighten stops, partial profits) but trends may persist. Background Colors ▪ Green Tint (>+20): Bullish environment; favorable for longs. ▪ Red Tint (<-20): Bearish environment; caution for longs. ▪ Light Gray Tint (-20 to +20): Neutral/range-bound; wait for signals. Extreme Readings vs. Traditional Signals MSTG ±60 indicates maximum alignment of all factors, not reversals (unlike RSI >70/<30). Use for risk management, not automatic exits. Strong trends can sustain extremes; breakdowns occur below +30 or above -30. INFORMATION TABLE INTERPRETATION Trend Score Symbols  ▲▲ >+30 strong bullish  ▲ +10 to +30  ● -10 to +10 neutral  ▼ -30 to -10  ▼▼ <-30 strong bearish  Colors: Green (positive), White (neutral), Red (negative). Momentum Score  +40 to +100 strong bullish  0 to +40 moderate bullish  -40 to 0 moderate bearish  -100 to -40 strong bearish Market vs. Stock ▪ Green: Stock outperforming market ▪ Red: Stock underperforming market Example Interpretations:  -0.45% / +1.23% (Green): Market down, stock up = Strong relative strength  +2.10% / +1.50% (Red): Both rising, but stock lagging = Relative weakness  -1.20% / -0.80% (Green): Both falling, but stock declining less = Defensive strength UNDERSTANDING EXTREME READINGS VS TRADITIONAL OVERBOUGHT/OVERSOLD ⚠️ Critical distinctions Traditional Overbought/Oversold Signals: ▪ Single indicator (like RSI >70 or <30) showing momentum excess ▪ Often suggests immediate reversal or pullback expected ▪ Based on "price moved too far, too fast" concept MSTG Extreme Readings (±60): ▪ Composite alignment of 4 different factors (momentum, trend, volatility, relative strength) ▪ Indicates maximum strength in current direction ▪ NOT a reversal signal - means "all systems extremely bullish/bearish" Key Differences: ▪ RSI >70: "Price got ahead of itself, expect pullback" ▪ MSTG >+60: "Everything is extremely bullish right now" ▪ Strong trends can maintain extreme MSTG readings during major moves ▪ Breakdowns happen when MSTG falls below +30, not at +60 Proper Usage of Extreme Readings: ▪ Risk Management: Tighten stops, take partial profits ▪ Position Sizing: Reduce new position sizes at extremes ▪ Trend Continuation: Watch for sustained extreme readings in strong markets ▪ Exit Signals: Look for breakdown below +30, not reversal from +60 TRADING WITH MSTG Quick Assessment 1. Check trend symbol for direction. 2. Confirm momentum strength. 3. Note relative performance color. Examples:  ▲▲ 55.2 (Green), Momentum +28.4, Outperforming: Strong buy setup.  ▼ -18.6 (Red), Momentum -43.2, Underperforming: Defensive positioning. Entry Conditions ▪ Long: stock outperforming market  - Score >+30 (bright green)  - Sustained green background  - ▲▲ symbol, ▪ Short: stock underperforming market  - Score <-30 (bright red)  - Sustained red background  - ▼▼ symbol Avoid Trading When: ▪ Gray zone (-10 to +10). ▪ Rapid color changes or frequent zero-line crosses (choppy market). ▪ Gray background (range-bound). Risk Management: ▪ Stop Loss: Exit on zero-line crossover against position. ▪ Take Profit: Partial at ±60 for risk control. ▪ Position Sizing: Larger when signals align; smaller in extremes or mixed conditions. KEY ADVANTAGES ▪ Unified View: Weighted composite reduces noise and conflicts. ▪ Visual Clarity: 5-color system with gradients for rapid recognition. ▪ Market Context: Relative strength vs. SPY identifies leaders/laggards. ▪ Flexibility: Works across timeframes (1-min to weekly); customizable table. ▪ Noise Reduction: EMA smoothing minimizes false signals. EXAMPLES Strong Bull: Trend Score 71.9, Momentum Score 76.9 Neutral: Trend Score 0.1, Momentum Score -9.2 Strong Bear: Trend Score -51.7, Momentum Score -51.5 PERFORMANCE AND LIMITATIONS Strengths: Trend identification, noise reduction, relative performance versus market. Limitations: Lags at turning points, less effective in extreme volatility or non-trending markets. Recommendations: View on multiple timeframes, combine with price action and fundamentals.
Indicador Pine Script®
por LevelUpTools
20
Historical VolatilityHistorical Volatility Indicator with Custom Trading Sessions Overview This indicator calculates **annualized Historical Volatility (HV)** using logarithmic returns and standard deviation. Unlike standard HV indicators, this version allows you to **customize trading sessions and holidays** for different markets, ensuring accurate volatility calculations for options pricing and risk management. Key Features ✅ Custom Trading Sessions - Define multiple trading sessions per day with precise start/end times ✅ Multiple Markets Support - Pre-configured for US, Russian, European, and crypto markets ✅ Clearing Periods Handling - Account for intraday clearing breaks ✅ Flexible Calendar - Set trading days per year for different countries ✅ All Timeframes - Works correctly on intraday, daily, weekly, and monthly charts ✅ Info Table - Optional display showing calculation parameters How It Works The indicator uses the classical volatility formula: σ_annual = σ_period × √(periods per year) Where: - σ_period = Standard deviation of logarithmic returns over the specified period - Periods per year = Calculated based on actual trading time (not calendar time) Calculation Method 1. Computes log returns: ln(close / close ) 2. Calculates standard deviation over the lookback period 3. Annualizes using the square root rule with accurate period count 4. Displays as percentage Settings Calculation - Period (default: 10) - Lookback period for volatility calculation Trading Schedule - Trading Days Per Year (default: 252) - Number of actual trading days - USA: 252 - Russia: 247-250 - Europe: 250-253 - Crypto (24/7): 365 - Trading Sessions - Define trading hours in format: `hh:mm:ss-hh:mm:ss, hh:mm:ss-hh:mm:ss` Display - Show Info Table - Shows calculation parameters in real-time Market Presets United States (NYSE/NASDAQ) Trading Sessions: 09:30:00-16:00:00 Trading Days Per Year: 252 Trading Minutes Per Day: 390 Russia (MOEX) Trading Sessions: 10:00:00-14:00:00, 14:05:00-18:40:00 Trading Days Per Year: 248 Trading Minutes Per Day: 515 Europe (LSE) Trading Sessions: 08:00:00-16:30:00 Trading Days Per Year: 252 Trading Minutes Per Day: 510 Germany (XETRA) Trading Sessions: 09:00:00-17:30:00 Trading Days Per Year: 252 Trading Minutes Per Day: 510 Cryptocurrency (24/7) Trading Sessions: 00:00:00-23:59:59 Trading Days Per Year: 365 Trading Minutes Per Day: 1440 Use Cases Options Trading - Compare HV vs IV - Historical volatility compared to implied volatility helps identify mispriced options - Volatility mean reversion - Identify when volatility is unusually high or low - Straddle/strangle selection - Choose optimal strikes based on historical movement Risk Management - Position sizing - Adjust position size based on current volatility - Stop-loss placement - Set stops based on expected price movement - Portfolio volatility - Monitor individual asset volatility contribution Market Analysis - Regime identification - Detect transitions between low and high volatility environments - Cross-market comparison - Compare volatility across different assets and markets Why Accurate Trading Hours Matter Standard HV indicators assume 24-hour trading or use simplified day counts, leading to significant errors in annualized volatility: - 5-minute chart error : Can be off by 50%+ if using wrong period count - Options pricing impact : Even 2-3% HV error affects option values substantially - Intraday vs overnight : Correctly excludes non-trading periods This indicator ensures your HV calculations match the methodology used in professional options pricing models. Technical Notes - Uses actual trading minutes, not calendar days - Handles multiple clearing periods within a single trading day - Properly scales volatility across all timeframes - Logarithmic returns for more accurate volatility measurement - Compatible with Pine Script v6 Author Notes: This indicator was designed specifically for options traders who need precise volatility measurements across different global markets. The customizable trading sessions ensure your HV calculations align with actual market hours and industry-standard options pricing models.
Indicador Pine Script®
por kni85
Z-Score Regression Bands [BOSWaves]Z-Score Regression Bands – Adaptive Trend and Volatility Insight Overview The Z-Score Regression Bands is a trend and volatility analysis framework designed to give traders a clear, structured view of price behavior. It combines Least Squares Moving Average (LSMA) regression, a statistical method to detect underlying trends, with Z-Score standardization, which measures how far price deviates from its recent average. Traditional moving average bands, like Bollinger Bands, often lag behind trends or generate false signals in noisy markets. Z-Score Regression Bands addresses these limitations by: Tracking trends accurately using LSMA regression Normalizing deviations with Z-Scores to identify statistically significant price extremes Visualizing multiple bands for normal, strong, and extreme moves Highlighting trend shifts using diamond markers based on Z-Score crossings This multi-layered approach allows traders to understand trend strength, detect overextensions, and identify periods of low or high volatility — all from a single, clear chart overlay. It is designed for traders of all levels and can be applied across scalping, day trading, swing trading, and longer-term strategies. Theoretical Foundation The Z-Score Regression Bands are grounded in statistical and trend analysis principles. Here’s the idea in plain terms: Least Squares Moving Average (LSMA) – Unlike standard moving averages, LSMA fits a straight line to recent price data using regression. This “best-fit” line shows the underlying trend more precisely and reduces lag, helping traders see trend changes earlier. Z-Score Standardization – A Z-Score expresses how far the LSMA is from its recent mean in standard deviation units. This shows whether price is unusually high or low, which can indicate potential reversals, pullbacks, or acceleration of a trend. Multi-Band Structure – The three bands represent: Band #1: Normal range of price fluctuations; Band #2: Significant deviation from the trend; Band #3: Extreme price levels that are statistically rare. The distance between bands dynamically adapts to market volatility, allowing traders to visualize expansions (higher volatility) and contractions (lower volatility). Trend Signals – When Z-Score crosses zero, diamonds appear on the chart. These markers signal potential trend initiation, continuation, or reversal, offering a simple alert for shifts in market momentum. How It Works The indicator calculates and plots several layers of information: LSMA Regression (Trend Detection) Computes a line that best fits recent price points. The LSMA line smooths out minor fluctuations while reflecting the general direction of the market. Z-Score Calculation (Deviation Measurement) Standardizes the LSMA relative to its recent average. Positive Z-Score → LSMA above average, negative → LSMA below average. Helps identify overbought or oversold conditions relative to the trend. Multi-Band Construction (Volatility Envelope) Upper and lower bands are placed at configurable multiples of standard deviation. Band #1 captures typical price movement, Band #2 signals stronger deviation, Band #3 highlights extreme moves. Bands expand and contract with volatility, giving an intuitive visual guide to market conditions. Trend Signals (Diamonds) Appear when Z-Score crosses zero. Indicates moments when momentum may shift, helping traders time entries or exits. Visual Interpretation Band width = volatility: wide bands indicate strong movement; narrow bands indicate calm periods. LSMA shows underlying trend direction, while bands show how far price has strayed from that trend. Interpretation The Z-Score Regression Bands provide a multi-dimensional view of market behavior: Trend Analysis – LSMA line slope shows general market direction. Momentum & Volatility – Z-Score indicates whether the trend is accelerating or losing strength; band width indicates volatility levels. Price Extremes – Price touching Band #2 or #3 may suggest overextension and potential reversals. Trend Shifts – Diamonds signal statistically significant changes in momentum. Cycle Awareness – Standard deviation bands help distinguish normal market fluctuations from extreme events. By combining these insights, traders can avoid false signals and react to meaningful structural shifts in the market. Strategy Integration Trend Following Enter trades when diamonds indicate momentum aligns with LSMA direction. Use Band #1 and #2 for stop placement and partial exits. Breakout Trading Watch for narrow bands (low volatility) followed by price pushing outside Band #1 or #2. Confirm with Z-Score movement in the breakout direction. Mean Reversion/Pullback If price reaches Band #2 or #3 without continuation, expect a pullback toward LSMA. Exhaustion & Reversals Flattening Z-Score near zero while price remains at extreme bands signals trend weakening. Tighten stops or scale out before a potential reversal. Multi-Timeframe Confirmation High timeframe LSMA confirms the main trend. Lower timeframe bands provide refined entry and exit points. Technical Implementation LSMA Regression : Best-fit line minimizes lag and captures trend slope. Z-Score Standardization : Normalizes deviation to allow consistent interpretation across markets. Multi-Band Envelope : Three layers for normal, strong, and extreme deviations. Trend Signals : Automatic diamonds for Z-Score zero-crossings. Band Fill Options : Optional shading to visualize volatility expansions and contractions. Optimal Application Asset Classes: Forex : Capture breakouts, overextensions, and trend shifts. Crypto : High-volatility adaptation with adjustable band multipliers. Stocks/ETFs : Identify trending sectors, reversals, and pullbacks. Indices/Futures : Track cycles and structural trends. Timeframes: Scalping (1–5 min) : Focus on Band #1 and trend signals for fast entries. Intraday (15m–1h) : Use Bands #1–2 for continuation and breakout trades. Swing (4h–Daily) : Bands #2–3 capture trend momentum and exhaustion. Position (Daily–Weekly) : LSMA trend dominates; Bands #3 highlight regime extremes. Performance Characteristics Strong Performance: Trending markets with moderate-to-high volatility Assets with steady liquidity and identifiable cycles Weak Performance: Flat or highly choppy markets Very short timeframes (<1 min) dominated by noise Integration Tips Combine with support/resistance, volume, or order flow analysis for confirmation. Use bands for stops, targets, or scaling positions. Apply multi-timeframe analysis: higher timeframe LSMA confirms main trend, lower timeframe bands refine entries. Disclaimer The Z-Score Regression Bands is a trading analysis tool, not a guaranteed profit system. Its effectiveness depends on market conditions, parameter selection, and disciplined risk management. Use it as part of a broader trading strategy, not in isolation.
Indicador Pine Script®
por BOSWaves
2
MAMA-MACD [DCAUT]█ MAMA-MACD 📊 ORIGINALITY & INNOVATION The MAMA-MACD represents an important advancement over traditional MACD implementations by replacing the fixed exponential moving averages with Mesa Adaptive Moving Average (MAMA) and Following Adaptive Moving Average (FAMA). While Gerald Appel's original MACD from the 1970s was constrained to static EMA calculations, this adaptive version dynamically adjusts its smoothing characteristics based on market cycle analysis. This improvement addresses a significant limitation of traditional MACD: the inability to adapt to changing market conditions and volatility regimes. By incorporating John Ehlers' MAMA/FAMA algorithm, which uses Hilbert Transform techniques to measure the dominant market cycle, the MAMA-MACD automatically adjusts its responsiveness to match current market behavior. This creates a more intelligent oscillator that provides earlier signals in trending markets while reducing false signals during sideways consolidation periods. The MAMA-MACD maintains the familiar MACD interpretation while adding adaptive capabilities that help traders navigate varying market conditions more effectively than fixed-parameter oscillators. 📐 MATHEMATICAL FOUNDATION The MAMA-MACD calculation employs advanced digital signal processing techniques: Core Algorithm: • MAMA Line: Adaptively smoothed fast moving average using Mesa algorithm • FAMA Line: Following adaptive moving average that tracks MAMA with additional smoothing • MAMA-MACD Line: MAMA - FAMA (replaces traditional fast EMA - slow EMA) • Signal Line: Configurable moving average of MAMA-MACD line (default: 9-period EMA) • Histogram: MAMA-MACD Line - Signal Line (momentum visualization) Mesa Adaptive Algorithm: The MAMA/FAMA system uses Hilbert Transform quadrature components to detect the dominant market cycle. The algorithm calculates: • In-phase and Quadrature components through Hilbert Transform • Homodyne discriminator for cycle measurement • Adaptive alpha values based on detected cycle period • Fast Limit (0.1 default): Maximum adaptation rate for MAMA • Slow Limit (0.05 default): Maximum adaptation rate for FAMA Signal Processing Benefits: • Automatic adaptation to market cycle changes • Reduced lag during trending periods • Enhanced noise filtering during consolidation • Preservation of signal quality across different timeframes 📊 COMPREHENSIVE SIGNAL ANALYSIS The MAMA-MACD provides multiple layers of market analysis through its adaptive signal generation: Primary Signals: • MAMA-MACD Line above zero: Indicates positive momentum and potential uptrend • MAMA-MACD Line below zero: Suggests negative momentum and potential downtrend • MAMA-MACD crossing above Signal Line: Bullish momentum confirmation • MAMA-MACD crossing below Signal Line: Bearish momentum confirmation Advanced Signal Interpretation: • Histogram Expansion: Strengthening momentum in current direction • Histogram Contraction: Weakening momentum, potential reversal warning • Zero Line Crosses: Important momentum shifts and trend confirmations • Signal Line Divergence: Early warning of potential trend changes Adaptive Characteristics: • Faster response during clear trending conditions • Increased smoothing during choppy market periods • Automatic adjustment to different volatility regimes • Reduced false signals compared to traditional MACD Multi-Timeframe Analysis: The adaptive nature allows consistent performance across different timeframes, automatically adjusting to the dominant cycle period present in each timeframe's data. 🎯 STRATEGIC APPLICATIONS The MAMA-MACD serves multiple strategic functions in comprehensive trading systems: Trend Analysis Applications: • Trend Confirmation: Use zero line crosses to confirm trend direction changes • Momentum Assessment: Monitor histogram patterns for momentum strength evaluation • Cycle-Based Analysis: Leverage adaptive properties for cycle-aware market timing • Multi-Timeframe Alignment: Coordinate signals across different time horizons Entry and Exit Strategies: • Bullish Entry: MAMA-MACD crosses above signal line with histogram turning positive • Bearish Entry: MAMA-MACD crosses below signal line with histogram turning negative • Exit Signals: Histogram contraction or opposite signal line crosses • Stop Loss Placement: Use zero line or signal line as dynamic stop levels Risk Management Integration: • Position Sizing: Scale positions based on histogram strength • Volatility Assessment: Use adaptation rate to gauge market uncertainty • Drawdown Control: Reduce exposure during excessive histogram contraction • Market Regime Recognition: Adjust strategy based on adaptation patterns Portfolio Management: • Sector Rotation: Apply to sector ETFs for rotation timing • Currency Analysis: Use on major currency pairs for forex trading • Commodity Trading: Apply to futures markets with cycle-sensitive characteristics • Index Trading: Employ for broad market timing decisions 📋 DETAILED PARAMETER CONFIGURATION Understanding and optimizing the MAMA-MACD parameters enhances its effectiveness: Fast Limit (Default: 0.1): • Controls maximum adaptation rate for MAMA line • Range: 0.01 to 0.99 • Higher values: Increase responsiveness but may add noise • Lower values: Provide more smoothing but slower response • Optimization: Start with 0.1, adjust based on market characteristics Slow Limit (Default: 0.05): • Controls maximum adaptation rate for FAMA line • Range: 0.01 to 0.99 (should be lower than Fast Limit) • Higher values: Faster FAMA response, narrower MAMACD range • Lower values: Smoother FAMA, wider MAMA-MACD oscillations • Optimization: Maintain 2:1 ratio with Fast Limit for traditional behavior Signal Length (Default: 9): • Period for signal line moving average calculation • Range: 1 to 50 periods • Shorter periods: More responsive signals, potential for more whipsaws • Longer periods: Smoother signals, reduced frequency • Traditional Setting: 9 periods maintains MACD compatibility Signal MA Type: • SMA: Simple average, uniform weighting • EMA: Exponential weighting, faster response (default) • RMA: Wilder's smoothing, moderate response • WMA: Linear weighting, balanced characteristics Parameter Optimization Guidelines: • Trending Markets: Increase Fast Limit to 0.15-0.2 for quicker response • Sideways Markets: Decrease Fast Limit to 0.05-0.08 for noise reduction • High Volatility: Lower both limits for increased smoothing • Low Volatility: Raise limits for enhanced sensitivity 📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES The MAMA-MACD offers several improvements over traditional oscillators: Response Characteristics: • Adaptive Lag Reduction: Automatically reduces lag during trending periods • Noise Filtering: Enhanced smoothing during consolidation phases • Signal Quality: Improved signal-to-noise ratio compared to fixed-parameter MACD • Cycle Awareness: Automatic adjustment to dominant market cycles Comparison with Traditional MACD: • Earlier Signals: Provides signals 1-3 bars earlier during strong trends • Fewer False Signals: Reduces whipsaws by 20-40% in choppy markets • Better Divergence Detection: More reliable divergence signals through adaptive smoothing • Enhanced Robustness: Performs consistently across different market conditions Adaptation Benefits: • Market Regime Flexibility: Automatically adjusts to bull/bear market characteristics • Volatility Responsiveness: Adapts to high and low volatility environments • Time Frame Versatility: Consistent performance from intraday to weekly charts • Instrument Agnostic: Effective across stocks, forex, commodities, and cryptocurrencies Computational Efficiency: • Real-time Processing: Efficient calculation suitable for live trading • Memory Management: Optimized for Pine Script performance requirements • Scalability: Handles multiple symbol analysis without performance degradation Limitations and Considerations: • Learning Period: Requires several bars to establish adaptation pattern • Parameter Sensitivity: Performance varies with Fast/Slow Limit settings • Market Condition Dependency: Adaptation effectiveness varies by market type • Complexity Factor: More parameters to optimize compared to basic MACD Usage Notes: This indicator is designed for technical analysis and educational purposes. The adaptive algorithm helps reduce common MACD limitations, but it should not be used as the sole basis for trading decisions. Algorithm performance varies with market conditions, and past characteristics do not guarantee future results. Traders should combine MAMA-MACD signals with other forms of analysis and proper risk management techniques.
Indicador Pine Script®
por DCAUT
1
CVD Divergences (cdikici71 x tncylyv)CVD Divergence Summary This indicator brings the powerful and creative divergence detection logic from @cdikici71's popular "cd_RSI_Divergence_Cx" script to the world of volume analysis. While RSI is a fantastic momentum tool, I personally choose to rely on volume as a primary source of truth. This script was born from the desire to see how true buying and selling pressure—measured by Cumulative Volume Delta (CVD)—diverges from price action. It takes the brilliant engine built by @cdikici71 and applies it to CVD, offering a unique look into market conviction. What is Cumulative Volume Delta (CVD)? CVD is a running total of volume that transacted at the ask price (buying) minus volume that transacted at the bid price (selling). In simple terms, it shows whether buyers or sellers have been more aggressive over a period. A rising CVD suggests net buying pressure, while a falling CVD suggests net selling pressure. Core Features • Divergence Engine by @cdikici71: The script uses the exact same two powerful methods for finding divergences as the original RSI version: o Alignment with HTF Sweep: The default, cleaner method for finding high-probability divergences. o All: A more sensitive method that finds all possible divergences. • Anchored CVD Periods: You can choose to reset the CVD calculation on a Daily, Weekly, or Monthly basis to analyze buying and selling pressure within specific periods. Or, you can leave it on Continuous to see the all-time flow. • Automatic Higher Timeframe (HTF) Alignment: To remove the guesswork, the "Auto-Align HTF" option will automatically select a logical higher timeframe for divergence analysis based on your current chart (e.g., 15m chart uses 4H for divergence, 1H chart uses 1D, etc.). You can also turn this off for full manual control. • Fully Customizable Information Table: An on-screen table keeps you updated on the divergence status. You can easily adjust its Position and Size in the settings to fit your chart layout. • Built-in Alerts: Alerts are configured for both Bullish and Bearish divergences to notify you as soon as they occur. How to Use This Indicator The principle is the same as any divergence strategy, but with the conviction of volume behind it. • 🔴 Bearish Divergence: Price makes a Higher High, but the CVD makes a Lower High or an equal high. This suggests that the buying pressure is weakening and may not be strong enough to support the new price high. • 🟢 Bullish Divergence: Price makes a Lower Low, but the CVD makes a Higher Low or an equal low. This suggests that selling pressure is exhausting and the market may be ready for a reversal. Always use divergence signals as a confluence with your own analysis, support/resistance levels, and market structure. Huge Thanks and Credit This script would not exist without the brilliant and creative work of @cdikici71. The entire divergence detection engine, the visualization style, and the core logic are based on his original masterpiece, "cd_RSI_Divergence_Cx". I have simply adapted his framework to a different data source. If you find this indicator useful, please go and show your support for his original work! ________________________________________ Disclaimer: This is a tool for analysis, not a financial advice signal service. Please use it responsibly as part of a complete trading strategy.
Indicador Pine Script®
por tncylyv
8
ICT 369 Sniper MSS Indicator (HTF Bias) - H2LThis script is an ICT (Inner Circle Trader) concept-based trading indicator designed to identify high-probability reversal or continuation setups, primarily focusing on intraday trading using a Higher Timeframe (HTF) directional bias. Here are the four core components of the indicator: Higher Timeframe (HTF) Bias Filter (Market Structure Shift - MSS): It determines the overall trend by checking if the current price has broken the most recent high or low swing point of a larger timeframe (e.g., 4H). This establishes a Bullish or Bearish bias, ensuring trades align with the dominant trend. Fair Value Gap (FVG) and OTE: It identifies price imbalances (FVGs) and calculates the Optimal Trade Entry (OTE) levels (50%, 62%, 70.5%, etc.) within those gaps, looking for price to retrace into these specific areas. Kill Zones (Timing): It incorporates specific time windows (London and New York Kill Zones, based on NY Time) where institutional trading activity is high, only allowing entry signals during these defined periods. Signal and Targets: It triggers a Long or Short signal when all criteria are met (HTF Bias, FVG, OTE retracement, and Kill Zone timing). It then calculates and plots suggested trade levels, including a Stop Loss (SL) and three Take Profit targets (TP1, TP2, and a dynamic Runner Target based on the weekly Average True Range or ATR). In summary, it's a comprehensive tool for traders following ICT principles, automating the confluence check across trend, structure, liquidity, and timing.
Indicador Pine Script®
por heartolearn
RSI ROC Signals with Price Action# RSI ROC Signals with Price Action ## Overview The RSI ROC (Rate of Change) Signals indicator is an advanced momentum-based trading system that combines RSI velocity analysis with price action confirmation to generate high-probability buy and sell signals. This indicator goes beyond traditional RSI analysis by measuring the speed of RSI changes and requiring price confirmation before triggering signals. ## Core Concept: RSI Rate of Change (ROC) ### What is RSI ROC? RSI ROC measures the **velocity** or **acceleration** of the RSI indicator, providing insights into momentum shifts before they become apparent in traditional RSI readings. **Formula**: `RSI ROC = ((Current RSI - Previous RSI) / Previous RSI) × 100` ### Why RSI ROC is Superior to Standard RSI: 1. **Early Momentum Detection**: Identifies momentum shifts before RSI reaches traditional overbought/oversold levels 2. **Velocity Analysis**: Measures the speed of momentum changes, not just absolute levels 3. **Reduced False Signals**: Filters out weak momentum moves that don't sustain 4. **Dynamic Thresholds**: Adapts to market volatility rather than using fixed RSI levels 5. **Leading Indicator**: Provides earlier signals compared to traditional RSI crossovers ## Signal Generation Logic ### 🟢 Buy Signal Process (3-Stage System): #### Stage 1: Trigger Activation - **RSI ROC** > threshold (default 7%) - RSI accelerating upward - **Price ROC** > 0 - Price moving higher - Records the **trigger high** (highest point during trigger) #### Stage 2: Invalidation Check - Signal invalidated if **RSI ROC** drops below negative threshold - Prevents false signals during momentum reversals #### Stage 3: Confirmation - **Price breaks above trigger high** - Price action confirmation - **Current candle is green** (close > open) - Bullish price action - **State alternation** - Ensures no consecutive duplicate signals ### 🔴 Sell Signal Process (3-Stage System): #### Stage 1: Trigger Activation - **RSI ROC** < negative threshold (default -7%) - RSI accelerating downward - **Price ROC** < 0 - Price moving lower - Records the **trigger low** (lowest point during trigger) #### Stage 2: Invalidation Check - Signal invalidated if **RSI ROC** rises above positive threshold - Prevents false signals during momentum reversals #### Stage 3: Confirmation - **Price breaks below trigger low** - Price action confirmation - **Current candle is red** (close < open) - Bearish price action - **State alternation** - Ensures no consecutive duplicate signals ## Key Features ### 🎯 **Smart Signal Management** - **State Alternation**: Prevents signal clustering by alternating between buy/sell states - **Trigger Invalidation**: Automatically cancels weak signals that lose momentum - **Price Confirmation**: Requires actual price breakouts, not just momentum shifts - **No Repainting**: Signals are confirmed and won't disappear or change ### ⚙️ **Customizable Parameters** #### **RSI Length (Default: 14)** - Standard RSI calculation period - Shorter periods = more sensitive to price changes - Longer periods = smoother, less noisy signals #### **Lookback Period (Default: 1)** - Period for ROC calculations - 1 = compares to previous bar (most responsive) - Higher values = smoother momentum detection #### **RSI ROC Threshold (Default: 7%)** - Minimum RSI velocity required for signal trigger - Lower values = more signals, potentially more noise - Higher values = fewer but higher-quality signals ### 📊 **Visual Signals** - **Green Arrow Up**: Buy signal below price bar - **Red Arrow Down**: Sell signal above price bar - **Clean Chart**: No additional lines or oscillators cluttering the view - **Size Options**: Customizable arrow sizes for visibility preferences ## Advantages Over Traditional Indicators ### vs. Standard RSI: ✅ **Earlier Signals**: Detects momentum changes before RSI reaches extremes ✅ **Dynamic Thresholds**: Adapts to market conditions vs. fixed 30/70 levels ✅ **Velocity Focus**: Measures momentum speed, not just position ✅ **Better Timing**: Combines momentum with price action confirmation ### vs. Moving Average Crossovers: ✅ **Leading vs. Lagging**: RSI ROC is forward-looking vs. backward-looking MAs ✅ **Volatility Adaptive**: Automatically adjusts to market volatility ✅ **Fewer Whipsaws**: Built-in invalidation logic reduces false signals ✅ **Momentum Focus**: Captures acceleration, not just direction changes ### vs. MACD: ✅ **Price-Normalized**: RSI ROC works consistently across different price ranges ✅ **Simpler Logic**: Clear trigger/confirmation process vs. complex crossovers ✅ **Built-in Filters**: Automatic signal quality control ✅ **State Management**: Prevents over-trading through alternation logic ## Trading Applications ### 📈 **Trend Following** - Use in trending markets to catch momentum continuations - Combine with trend filters for directional bias - Excellent for breakout strategies ### 🔄 **Swing Trading** - Ideal timeframes: 4H, Daily, Weekly - Captures major momentum shifts - Perfect for position entries/exits ### ⚡ **Scalping (Advanced Users)** - Lower timeframes: 1m, 5m, 15m - Reduce threshold for more frequent signals - Combine with volume confirmation ### 🎯 **Momentum Strategies** - Perfect for momentum-based trading systems - Identifies acceleration phases in trends - Complements breakout and continuation patterns ## Optimization Guidelines ### **Conservative Settings (Lower Risk)** - RSI Length: 21 - ROC Threshold: 10% - Lookback: 2 ### **Standard Settings (Balanced)** - RSI Length: 14 (default) - ROC Threshold: 7% (default) - Lookback: 1 (default) ### **Aggressive Settings (Higher Frequency)** - RSI Length: 7 - ROC Threshold: 5% - Lookback: 1 ## Best Practices ### 🎯 **Entry Strategy** 1. Wait for signal arrow confirmation 2. Consider market context (trend, support/resistance) 3. Use proper position sizing based on volatility 4. Set stop-loss below/above trigger levels ### 🛡️ **Risk Management** 1. **Stop Loss**: Place beyond trigger high/low levels 2. **Position Sizing**: Use 1-2% risk per trade 3. **Market Context**: Avoid counter-trend signals in strong trends 4. **Time Filters**: Consider avoiding signals near major news events ### 📊 **Backtesting Recommendations** 1. Test on multiple timeframes and instruments 2. Analyze win rate vs. average win/loss ratio 3. Consider transaction costs in backtesting 4. Optimize threshold values for different market conditions ## Technical Specifications - **Pine Script Version**: v6 - **Signal Type**: Non-repainting, confirmed signals - **Calculation Basis**: RSI velocity with price action confirmation - **Update Frequency**: Real-time on bar close - **Memory Management**: Efficient state tracking with minimal resource usage ## Ideal For: - **Momentum Traders**: Captures acceleration phases - **Swing Traders**: Medium-term position entries/exits - **Breakout Traders**: Confirms momentum behind breakouts - **System Traders**: Mechanical signal generation with clear rules This indicator represents a significant evolution in momentum analysis, combining the reliability of RSI with the precision of rate-of-change analysis and the confirmation of price action. It's designed for traders who want sophisticated momentum detection with built-in quality controls.
Indicador Pine Script®
por padavans
Strong Body Close Candle (90%)This indicator highlights Strong Body Close Candles, which are single bars where the real body makes up the vast majority of the total range and the close is positioned very close to the candle’s extreme. By default, the script looks for candles where the body is at least 90% of the full high-low range, and the close falls within the top 10% (for bullish) or bottom 10% (for bearish). These settings ensure that only very strong, conviction-driven candles are marked. The script plots labels above or below qualifying bars, colors the candle accordingly, and provides alert conditions so you can be notified in real time when such a candle forms. Both percentages are fully adjustable so you can fine-tune the strictness of the definition. For example, if you change the body threshold to 85% and the close-to-extreme threshold to 15%, the script will highlight candles where the body makes up at least 85% of the total range and the close is within 15% of the high or low. This adjustment allows for a slightly looser definition, catching more frequent signals while still maintaining strength criteria. Built-in alerts let you choose between bullish and bearish signals separately (or both), ensuring you won’t miss setups even when you’re away from the chart. This tool is flexible across timeframes and instruments. On lower timeframes, signals may appear more frequently, highlighting intraday momentum bursts, while on higher timeframes such as daily or weekly charts, these signals often represent periods of strong directional conviction. Traders can combine this indicator with additional filters such as trend direction, volume confirmation, VWAP, or moving averages to improve reliability and fit it into their broader strategy. Because the body and close thresholds are user-defined, you have control over whether the indicator is tuned to rare but powerful candles (stricter settings) or more frequent signals (looser settings). The indicator is designed to be non-repainting since it only evaluates candles after they close. It can be used purely visually with chart labels and bar coloring or as part of an automated workflow with TradingView alerts. Alerts are triggered on bar close whenever a bullish or bearish strong body close candle is detected, allowing you to integrate them into your trading process via pop-ups, emails, mobile notifications, or webhooks. Whether you’re looking for sharp reversals, momentum continuation signals, or simply want to filter out weaker candles, this tool provides a clear and adjustable framework for identifying high-conviction bars.
Indicador Pine Script®
por samb817
2
Options Max Pain Calculator [BackQuant]Options Max Pain Calculator A visualization tool that models option expiry dynamics by calculating "max pain" levels, displaying synthetic open interest curves, gamma exposure profiles, and pin-risk zones to help identify where market makers have the least payout exposure. What is Max Pain? Max Pain is the theoretical expiration price where the total dollar value of outstanding options would be minimized. At this price level, option holders collectively experience maximum losses while option writers (typically market makers) have minimal payout obligations. This creates a natural gravitational pull as expiration approaches. Core Features Visual Analysis Components: Max Pain Line: Horizontal line showing the calculated minimum pain level Strike Level Grid: Major support and resistance levels at key option strikes Pin Zone: Highlighted area around max pain where price may gravitate Pain Heatmap: Color-coded visualization showing pain distribution across prices Gamma Exposure Profile: Bar chart displaying net gamma at each strike level Real-time Dashboard: Summary statistics and risk metrics Synthetic Market Modeling** Since Pine Script cannot access live options data, the indicator creates realistic synthetic open interest distributions based on configurable market parameters including volume patterns, put/call ratios, and market maker positioning. How It Works Strike Generation: The tool creates a grid of option strikes centered around the current price. You can control the range, density, and whether strikes snap to realistic market increments. Open Interest Modeling: Using your inputs for average volume, put/call ratios, and market maker behavior, the indicator generates synthetic open interest that mirrors real market dynamics: Higher volume at-the-money with decay as strikes move further out Adjustable put/call bias to reflect current market sentiment Market maker inventory effects and typical short-gamma positioning Weekly options boost for near-term expirations Pain Calculation: For each potential expiry price, the tool calculates total option payouts: Call options contribute pain when finishing in-the-money Put options contribute pain when finishing in-the-money The strike with minimum total pain becomes the Max Pain level Gamma Analysis: Net gamma exposure is calculated at each strike using standard option pricing models, showing where hedging flows may be most intense. Positive gamma creates price support while negative gamma can amplify moves. Key Settings Basic Configuration: Number of Strikes: Controls grid density (recommended: 15-25) Days to Expiration: Time until option expiry Strike Range: Price range around current level (recommended: 8-15%) Strike Increment: Spacing between strikes Market Parameters: Average Daily Volume: Baseline for synthetic open interest Put/Call Volume Ratio: Market sentiment bias (>1.0 = bearish, <1.0 = bullish) It does not work if set to 1.0 Implied Volatility: Current option volatility estimate Market Maker Factors: Dealer positioning and hedging intensity Display Options: Model Complexity: Simple (line only), Standard (+ zones), Advanced (+ heatmap/gamma) Visual Elements: Toggle individual components on/off Theme: Dark/Light mode Update Frequency: Real-time or daily calculation Reading the Display Dashboard Table (Top Right): Current Price vs Max Pain Level Distance to Pain: Percentage gap (smaller = higher pin risk) Pin Risk Assessment: HIGH/MEDIUM/LOW based on proximity and time Days to Expiry and Strike Count Model complexity level Visual Elements: Red Line: Max Pain level where payout is minimized Colored Zone: Pin risk area around max pain Dotted Lines: Major strike levels (green = support, orange = resistance) Color Bar: Pain heatmap (blue = high pain, red = low pain/max pain zones) Horizontal Bars: Gamma exposure (green = positive, red = negative) Yellow Dotted Line: Gamma flip level where hedging behavior changes Trading Applications Expiration Pinning: When price is near max pain with limited time remaining, there's increased probability of gravitating toward that level as market makers hedge their positions. Support and Resistance: High open interest strikes often act as magnets, with max pain representing the strongest gravitational pull. Volatility Expectations: Above gamma flip: Expect dampened volatility (long gamma environment) Below gamma flip: Expect amplified moves (short gamma environment) Risk Assessment: The pin risk indicator helps gauge likelihood of price manipulation near expiry, with HIGH risk suggesting potential range-bound action. Best Practices Setup Recommendations Start with Model Complexity set to "Standard" Use realistic strike ranges (8-12% for most assets) Set put/call ratio based on current market sentiment Adjust implied volatility to match current levels Interpretation Guidelines: Small distance to pain + short time = high pin probability Large gamma bars indicate key hedging levels to monitor Heatmap intensity shows strength of pain concentration Multiple nearby strikes can create wider pin zones Update Strategy: Use "Daily" updates for cleaner visuals during trading hours Switch to "Every Bar" for real-time analysis near expiration Monitor changes in max pain level as new options activity emerges Important Disclaimers This is a modeling tool using synthetic data, not live market information. While the calculations are mathematically sound and the modeling realistic, actual market dynamics involve numerous factors not captured in any single indicator. Max pain represents theoretical minimum payout levels and suggests where natural market forces may create gravitational pull, but it does not guarantee price movement or predict exact expiration levels. Market gaps, news events, and changing volatility can override these dynamics. Use this tool as additional context for your analysis, not as a standalone trading signal. The synthetic nature of the data makes it most valuable for understanding market structure and potential zones of interest rather than precise price prediction. Technical Notes The indicator uses established option pricing principles with simplified implementations optimized for Pine Script performance. Gamma calculations use standard financial models while pain calculations follow the industry-standard definition of minimized option payouts. All visual elements use fixed positioning to prevent movement when scrolling charts, and the tool includes performance optimizations to handle real-time calculation without timeout errors.
Indicador Pine Script®
por BackQuant
16