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Diamond Peaks [EdgeTerminal]The Diamond Peaks indicator is a comprehensive technical analysis tool that uses a few mathematical models to identify high-probability trading opportunities. This indicator goes beyond traditional support and resistance identification by incorporating volume analysis, momentum divergences, advanced price action patterns, and market sentiment indicators to generate premium-quality buy and sell signals. Dynamic Support/Resistance Calculation The indicator employs an adaptive algorithm that calculates support and resistance levels using a volatility-adjusted lookback period. The base calculation uses ta.highest(length) and ta.lowest(length) functions, where the length parameter is dynamically adjusted using the formula: adjusted_length = base_length * (1 + (volatility_ratio - 1) * volatility_factor). The volatility ratio is computed as current_ATR / average_ATR over a 50-period window, ensuring the lookback period expands during volatile conditions and contracts during calm periods. This mathematical approach prevents the indicator from using fixed periods that may become irrelevant during different market regimes. Momentum Divergence Detection Algorithm The divergence detection system uses a mathematical comparison between price series and oscillator values over a specified lookback period. For bullish divergences, the algorithm identifies when recent_low < previous_low while simultaneously indicator_at_recent_low > indicator_at_previous_low. The inverse logic applies to bearish divergences. The system tracks both RSI (calculated using Pine Script's standard ta.rsi() function with Wilder's smoothing) and MACD (using ta.macd() with exponential moving averages). The mathematical rigor ensures that divergences are only flagged when there's a clear mathematical relationship between price momentum and the underlying oscillator momentum, eliminating false signals from minor price fluctuations. Volume Analysis Mathematical Framework The volume analysis component uses multiple mathematical transformations to assess market participation. The Cumulative Volume Delta (CVD) is calculated as ∑(buying_volume - selling_volume) where buying_volume occurs when close > open and selling_volume when close < open. The relative volume calculation uses current_volume / ta.sma(volume, period) to normalize current activity against historical averages. Volume Rate of Change employs ta.roc(volume, period) = (current_volume - volume ) / volume * 100 to measure volume acceleration. Large trade detection uses a threshold multiplier against the volume moving average, mathematically identifying institutional activity when relative_volume > threshold_multiplier. Advanced Price Action Mathematics The Wyckoff analysis component uses mathematical volume climax detection by comparing current volume against ta.highest(volume, 50) * 0.8, while price compression is measured using (high - low) < ta.atr(20) * 0.5. Liquidity sweep detection employs percentage-based calculations: bullish sweeps occur when low < recent_low * (1 - threshold_percentage/100) followed by close > recent_low. Supply and demand zones are mathematically validated by tracking subsequent price action over a defined period, with zone strength calculated as the count of bars where price respects the zone boundaries. Fair value gaps are identified using ATR-based thresholds: gap_size > ta.atr(14) * 0.5. Sentiment and Market Regime Mathematics The sentiment analysis employs a multi-factor mathematical model. The fear/greed index uses volatility normalization: 100 - min(100, stdev(price_changes, period) * scaling_factor). Market regime classification uses EMA crossover mathematics with additional ADX-based trend strength validation. The trend strength calculation implements a modified ADX algorithm: DX = |+DI - -DI| / (+DI + -DI) * 100, then ADX = RMA(DX, period). Bull regime requires short_EMA > long_EMA AND ADX > 25 AND +DI > -DI. The mathematical framework ensures objective regime classification without subjective interpretation. Confluence Scoring Mathematical Model The confluence scoring system uses a weighted linear combination: Score = (divergence_component * 0.25) + (volume_component * 0.25) + (price_action_component * 0.25) + (sentiment_component * 0.25) + contextual_bonuses. Each component is normalized to a 0-100 scale using percentile rankings and threshold comparisons. The mathematical model ensures that no single component can dominate the score, while contextual bonuses (regime alignment, volume confirmation, etc.) provide additional mathematical weight when multiple factors align. The final score is bounded using math.min(100, math.max(0, calculated_score)) to maintain mathematical consistency. Vitality Field Mathematical Implementation The vitality field uses a multi-factor scoring algorithm that combines trend direction (EMA crossover: trend_score = fast_EMA > slow_EMA ? 1 : -1), momentum (RSI-based: momentum_score = RSI > 50 ? 1 : -1), MACD position (macd_score = MACD_line > 0 ? 1 : -1), and volume confirmation. The final vitality score uses weighted mathematics: vitality_score = (trend * 0.4) + (momentum * 0.3) + (macd * 0.2) + (volume * 0.1). The field boundaries are calculated using ATR-based dynamic ranges: upper_boundary = price_center + (ATR * user_defined_multiplier), with EMA smoothing applied to prevent erratic boundary movements. The gradient effect uses mathematical transparency interpolation across multiple zones. Signal Generation Mathematical Logic The signal generation employs boolean algebra with multiple mathematical conditions that must simultaneously evaluate to true. Buy signals require: (confluence_score ≥ threshold) AND (divergence_detected = true) AND (relative_volume > 1.5) AND (volume_ROC > 25%) AND (RSI < 35) AND (trend_strength > minimum_ADX) AND (regime = bullish) AND (cooldown_expired = true) AND (last_signal ≠ buy). The mathematical precision ensures that signals only generate when all quantitative conditions are met, eliminating subjective interpretation. The cooldown mechanism uses bar counting mathematics: bars_since_last_signal = current_bar_index - last_signal_bar_index ≥ cooldown_period. This mathematical framework provides objective, repeatable signal generation that can be backtested and validated statistically. This mathematical foundation ensures the indicator operates on objective, quantifiable principles rather than subjective interpretation, making it suitable for algorithmic trading and systematic analysis while maintaining transparency in its computational methodology. * for now, we're planning to keep the source code private as we try to improve the models used here and allow a small group to test them. My goal is to eventually use the multiple models in this indicator as their own free and open source indicators. If you'd like to use this indicator, please send me a message to get access. Advanced Confluence Scoring System Each support and resistance level receives a comprehensive confluence score (0-100) based on four weighted components: Momentum Divergences (25% weight) RSI and MACD divergence detection Identifies momentum shifts before price reversals Bullish/bearish divergence confirmation Volume Analysis (25% weight) Cumulative Volume Delta (CVD) analysis Volume Rate of Change monitoring Large trade detection (institutional activity) Volume profile strength assessment Advanced Price Action (25% weight) Supply and demand zone identification Liquidity sweep detection (stop hunts) Wyckoff accumulation/distribution patterns Fair value gap analysis Market Sentiment (25% weight) Fear/Greed index calculation Market regime classification (Bull/Bear/Sideways) Trend strength measurement (ADX-like) Momentum regime alignment Dynamic Support and Resistance Detection The indicator uses an adaptive algorithm to identify significant support and resistance levels based on recent market highs and lows. Unlike static levels, these zones adjust dynamically to market volatility using the Average True Range (ATR), ensuring the levels remain relevant across different market conditions. Vitality Field Background The indicator features a unique vitality field that provides instant visual feedback about market sentiment: Green zones: Bullish market conditions with strong momentum Red zones: Bearish market conditions with weak momentum Gray zones: Neutral/sideways market conditions The vitality field uses a sophisticated gradient system that fades from the center outward, creating a clean, professional appearance that doesn't overwhelm the chart while providing valuable context. Buy Signals (🚀 BUY) Buy signals are generated when ALL of the following conditions are met: Valid support level with confluence score ≥ 80 Bullish momentum divergence detected (RSI or MACD) Volume confirmation (1.5x average volume + 25% volume ROC) Bull market regime environment RSI below 35 (oversold conditions) Price action confirmation (Wyckoff accumulation, liquidity sweep, or large buying volume) Minimum trend strength (ADX > 25) Signal alternation check (prevents consecutive buy signals) Cooldown period expired (default 10 bars) Sell Signals (🔻 SELL) Sell signals are generated when ALL of the following conditions are met: Valid resistance level with confluence score ≥ 80 Bearish momentum divergence detected (RSI or MACD) Volume confirmation (1.5x average volume + 25% volume ROC) Bear market regime environment RSI above 65 (overbought conditions) Price action confirmation (Wyckoff distribution, liquidity sweep, or large selling volume) Minimum trend strength (ADX > 25) Signal alternation check (prevents consecutive sell signals) Cooldown period expired (default 10 bars) How to Use the Indicator 1. Signal Quality Assessment Monitor the confluence scores in the information table: Score 90-100: Exceptional quality levels (A+ grade) Score 80-89: High quality levels (A grade) Score 70-79: Good quality levels (B grade) Score below 70: Weak levels (filtered out by default) 2. Market Context Analysis Use the vitality field and market regime information to understand the broader market context: Trade buy signals in green vitality zones during bull regimes Trade sell signals in red vitality zones during bear regimes Exercise caution in gray zones (sideways markets) 3. Entry and Exit Strategy For Buy Signals: Enter long positions when premium buy signals appear Place stop loss below the support confluence zone Target the next resistance level or use a risk/reward ratio of 2:1 or higher For Sell Signals: Enter short positions when premium sell signals appear Place stop loss above the resistance confluence zone Target the next support level or use a risk/reward ratio of 2:1 or higher 4. Risk Management Only trade signals with confluence scores above 80 Respect the signal alternation system (no overtrading) Use appropriate position sizing based on signal quality Consider the overall market regime before taking trades Customizable Settings Signal Generation Controls Signal Filtering: Enable/disable advanced filtering Confluence Threshold: Adjust minimum score requirement (70-95) Cooldown Period: Set bars between signals (5-50) Volume/Momentum Requirements: Toggle confirmation requirements Trend Strength: Minimum ADX requirement (15-40) Vitality Field Options Enable/Disable: Control background field display Transparency Settings: Adjust opacity for center and edges Field Size: Control the field boundaries (3.0-20.0) Color Customization: Set custom colors for bullish/bearish/neutral states Weight Adjustments Divergence Weight: Adjust momentum component influence (10-40%) Volume Weight: Adjust volume component influence (10-40%) Price Action Weight: Adjust price action component influence (10-40%) Sentiment Weight: Adjust sentiment component influence (10-40%) Best Practices Always wait for complete signal confirmation before entering trades Use higher timeframes for signal validation and context Combine with proper risk management and position sizing Monitor the information table for real-time market analysis Pay attention to volume confirmation for higher probability trades Respect market regime alignment for optimal results Basic Settings Base Length (Default: 25) Controls the lookback period for identifying support and resistance levels Range: 5-100 bars Lower values = More responsive, shorter-term levels Higher values = More stable, longer-term levels Recommendation: 25 for intraday, 50 for swing trading Enable Adaptive Length (Default: True) Automatically adjusts the base length based on market volatility When enabled, length increases in volatile markets and decreases in calm markets Helps maintain relevant levels across different market conditions Volatility Factor (Default: 1.5) Controls how much the adaptive length responds to volatility changes Range: 0.5-3.0 Higher values = More aggressive length adjustments Lower values = More conservative length adjustments Volume Profile Settings VWAP Length (Default: 200) Sets the calculation period for the Volume Weighted Average Price Range: 50-500 bars Shorter periods = More responsive to recent price action Longer periods = More stable reference line Used for volume profile analysis and confluence scoring Volume MA Length (Default: 50) Period for calculating the volume moving average baseline Range: 10-200 bars Used to determine relative volume (current volume vs. average) Shorter periods = More sensitive to volume changes Longer periods = More stable volume baseline High Volume Node Threshold (Default: 1.5) Multiplier for identifying significant volume spikes Range: 1.0-3.0 Values above this threshold mark high-volume nodes with diamond shapes Lower values = More frequent high-volume signals Higher values = Only extreme volume events marked Momentum Divergence Settings Enable Divergence Detection (Default: True) Master switch for momentum divergence analysis When disabled, removes divergence from confluence scoring Significantly impacts signal generation quality RSI Length (Default: 14) Period for RSI calculation used in divergence detection Range: 5-50 Standard RSI settings apply (14 is most common) Shorter periods = More sensitive, more signals Longer periods = Smoother, fewer but more reliable signals MACD Settings Fast (Default: 12): Fast EMA period for MACD calculation (5-50) Slow (Default: 26): Slow EMA period for MACD calculation (10-100) Signal (Default: 9): Signal line EMA period (3-20) Standard MACD settings for divergence detection Divergence Lookback (Default: 5) Number of bars to look back when detecting divergences Range: 3-20 Shorter periods = More frequent divergence signals Longer periods = More significant divergence signals Volume Analysis Enhancement Settings Enable Advanced Volume Analysis (Default: True) Master control for sophisticated volume calculations Includes CVD, volume ROC, and large trade detection Critical for signal accuracy Cumulative Volume Delta Length (Default: 20) Period for CVD smoothing calculation Range: 10-100 Tracks buying vs. selling pressure over time Shorter periods = More reactive to recent flows Longer periods = Broader trend perspective Volume ROC Length (Default: 10) Period for Volume Rate of Change calculation Range: 5-50 Measures volume acceleration/deceleration Key component in volume confirmation requirements Large Trade Volume Threshold (Default: 2.0) Multiplier for identifying institutional-size trades Range: 1.5-5.0 Trades above this threshold marked as large trades Lower values = More frequent large trade signals Higher values = Only extreme institutional activity Advanced Price Action Settings Enable Wyckoff Analysis (Default: True) Activates simplified Wyckoff accumulation/distribution detection Identifies potential smart money positioning Important for high-quality signal generation Enable Supply/Demand Zones (Default: True) Identifies fresh supply and demand zones Tracks zone strength based on subsequent price action Enhances confluence scoring accuracy Enable Liquidity Analysis (Default: True) Detects liquidity sweeps and stop hunts Identifies fake breakouts vs. genuine moves Critical for avoiding false signals Zone Strength Period (Default: 20) Bars used to assess supply/demand zone strength Range: 10-50 Longer periods = More thorough zone validation Shorter periods = Faster zone assessment Liquidity Sweep Threshold (Default: 0.5%) Percentage move required to confirm liquidity sweep Range: 0.1-2.0% Lower values = More sensitive sweep detection Higher values = Only significant sweeps detected Sentiment and Flow Settings Enable Sentiment Analysis (Default: True) Master control for market sentiment calculations Includes fear/greed index and regime classification Important for market context assessment Fear/Greed Period (Default: 20) Calculation period for market sentiment indicator Range: 10-50 Based on price volatility and momentum Shorter periods = More reactive sentiment readings Momentum Regime Length (Default: 50) Period for determining overall market regime Range: 20-100 Classifies market as Bull/Bear/Sideways Longer periods = More stable regime classification Trend Strength Length (Default: 30) Period for ADX-like trend strength calculation Range: 10-100 Measures directional momentum intensity Used in signal filtering requirements Advanced Signal Generation Settings Enable Signal Filtering (Default: True) Master control for premium signal generation system When disabled, uses basic signal conditions Highly recommended to keep enabled Minimum Signal Confluence Score (Default: 80) Required confluence score for signal generation Range: 70-95 Higher values = Fewer but higher quality signals Lower values = More frequent but potentially lower quality signals Signal Cooldown (Default: 10 bars) Minimum bars between signals of same type Range: 5-50 Prevents signal spam and overtrading Higher values = More conservative signal spacing Require Volume Confirmation (Default: True) Mandates volume requirements for signal generation Requires 1.5x average volume + 25% volume ROC Critical for signal quality Require Momentum Confirmation (Default: True) Mandates divergence detection for signals Ensures momentum backing for directional moves Essential for high-probability setups Minimum Trend Strength (Default: 25) Required ADX level for signal generation Range: 15-40 Ensures signals occur in trending markets Higher values = Only strong trending conditions Confluence Scoring Settings Minimum Confluence Score (Default: 70) Threshold for displaying support/resistance levels Range: 50-90 Levels below this score are filtered out Higher values = Only strongest levels shown Component Weights (Default: 25% each) Divergence Weight: Momentum component influence (10-40%) Volume Weight: Volume analysis influence (10-40%) Price Action Weight: Price patterns influence (10-40%) Sentiment Weight: Market sentiment influence (10-40%) Must total 100% for balanced scoring Vitality Field Settings Enable Vitality Field (Default: True) Controls the background gradient field display Provides instant visual market sentiment feedback Enhances chart readability and context Vitality Center Transparency (Default: 85%) Opacity at the center of the vitality field Range: 70-95% Lower values = More opaque center Higher values = More transparent center Vitality Edge Transparency (Default: 98%) Opacity at the edges of the vitality field Range: 95-99% Creates smooth fade effect from center to edges Higher values = More subtle edge appearance Vitality Field Size (Default: 8.0) Controls the overall size of the vitality field Range: 3.0-20.0 Based on ATR multiples for dynamic sizing Lower values = Tighter field around price Higher values = Broader field coverage Recommended Settings by Trading Style Scalping (1-5 minutes) Base Length: 15 Volume MA Length: 20 Signal Cooldown: 5 bars Vitality Field Size: 5.0 Higher sensitivity for quick moves Day Trading (15-60 minutes) Base Length: 25 (default) Volume MA Length: 50 (default) Signal Cooldown: 10 bars (default) Vitality Field Size: 8.0 (default) Balanced settings for intraday moves Swing Trading (4H-Daily) Base Length: 50 Volume MA Length: 100 Signal Cooldown: 20 bars Vitality Field Size: 12.0 Longer-term perspective for multi-day moves Conservative Trading Minimum Signal Confluence: 85 Minimum Confluence Score: 80 Require all confirmations: True Higher thresholds for maximum quality Aggressive Trading Minimum Signal Confluence: 75 Minimum Confluence Score: 65 Signal Cooldown: 5 bars Lower thresholds for more opportunities
Pine Script® indicator
by EdgeTerminal
3
RSI with 2-Pole FilterA momentum indicator that tells you if a stock is overbought or oversold. RSI goes between 0 and 100. 70 = overbought (might fall) <30 = oversold (might rise) It often looks jagged or choppy on volatile days. Think of this filter like a momentum smoother: It still follows RSI closely, But it doesn’t react to every little jiggle in price, Which helps avoid false signals. it keeps track of: The current RSI, The last 2 RSI values (inputs), and The last 2 outputs (filtered RSIs). It uses feedback to shape the output based on previous values, making it smoother than a simple moving average.
Pine Script® indicator
by scrittyrow
2
Info TableOverview The Info Table V1 is a versatile TradingView indicator tailored for intraday futures traders, particularly those focusing on MESM2 (Micro E-mini S&P 500 futures) on 1-minute charts. It presents essential market insights through two customizable tables: the Main Table for predictive and macro metrics, and the New Metrics Table for momentum and volatility indicators. Designed for high-activity sessions like 9:30 AM–11:00 AM CDT, this tool helps traders assess price alignment, sentiment, and risk in real-time. Metrics update dynamically (except weekly COT data), with optional alerts for key conditions like volatility spikes or momentum shifts. This indicator builds on foundational concepts like linear regression for predictions and adapts open-source elements for enhanced functionality. Gradient code is adapted from TradingView's Color Library. QQE logic is adapted from LuxAlgo's QQE Weighted Oscillator, licensed under CC BY-NC-SA 4.0. The script is released under the Mozilla Public License 2.0. Key Features Two Customizable Tables: Positioned independently (e.g., top-right for Main, bottom-right for New Metrics) with toggle options to show/hide for a clutter-free chart. Gradient Coloring: User-defined high/low colors (default green/red) for quick visual interpretation of extremes, such as overbought/oversold or high volatility. Arrows for Directional Bias: In the New Metrics Table, up (↑) or down (↓) arrows appear in value cells based on metric thresholds (top/bottom 25% of range), indicating bullish/high or bearish/low conditions. Consensus Highlighting: The New Metrics Table's title cells ("Metric" and "Value") turn green if all arrows are ↑ (strong bullish consensus), red if all are ↓ (strong bearish consensus), or gray otherwise. Predicted Price Plot: Optional line (default blue) overlaying the ML-predicted price for visual comparison with actual price action. Alerts: Notifications for high/low Frahm Volatility (≥8 or ≤3) and QQE Bias crosses (bullish/bearish momentum shifts). Main Table Metrics This table focuses on predictive, positional, and macro insights: ML-Predicted Price: A linear regression forecast using normalized price, volume, and RSI over a customizable lookback (default 500 bars). Gradient scales from low (red) to high (green) relative to the current price ± threshold (default 100 points). Deviation %: Percentage difference between current price and predicted price. Gradient highlights extremes (±0.5% default threshold), signaling potential overextensions. VWAP Deviation %: Percentage difference from Volume Weighted Average Price (VWAP). Gradient indicates if price is above (green) or below (red) fair value (±0.5% default). FRED UNRATE % Change: Percentage change in U.S. unemployment rate (via FRED data). Cell turns red for increases (economic weakness), green for decreases (strength), gray if zero or disabled. Open Interest: Total open MESM2 futures contracts. Gradient scales from low (red) to high (green) up to a hardcoded 300,000 threshold, reflecting market participation. COT Commercial Long/Short: Weekly Commitment of Traders data for commercial positions. Long cell green if longs > shorts (bullish institutional sentiment); Short cell red if shorts > longs (bearish); gray otherwise. New Metrics Table Metrics This table emphasizes technical momentum and volatility, with arrows for quick bias assessment: QQE Bias: Smoothed RSI vs. trailing stop (default length 14, factor 4.236, smooth 5). Green for bullish (RSI > stop, ↑ arrow), red for bearish (RSI < stop, ↓ arrow), gray for neutral. RSI: Relative Strength Index (default period 14). Gradient from oversold (red, <30 + threshold offset, ↓ arrow if ≤40) to overbought (green, >70 - offset, ↑ arrow if ≥60). ATR Volatility: Score (1–20) based on Average True Range (default period 14, lookback 50). High scores (green, ↑ if ≥15) signal swings; low (red, ↓ if ≤5) indicate calm. ADX Trend: Average Directional Index (default period 14). Gradient from weak (red, ↓ if ≤0.25×25 threshold) to strong trends (green, ↑ if ≥0.75×25). Volume Momentum: Score (1–20) comparing current to historical volume (lookback 50). High (green, ↑ if ≥15) suggests pressure; low (red, ↓ if ≤5) implies weakness. Frahm Volatility: Score (1–20) from true range over a window (default 24 hours, multiplier 9). Dynamic gradient (green/red/yellow); ↑ if ≥7.5, ↓ if ≤2.5. Frahm Avg Candle (Ticks): Average candle size in ticks over the window. Blue gradient (or dynamic green/red/yellow); ↑ if ≥0.75 percentile, ↓ if ≤0.25. Arrows trigger on metric-specific logic (e.g., RSI ≥60 for ↑), providing directional cues without strict color ties. Customization Options Adapt the indicator to your strategy: ML Inputs: Lookback (10–5000 bars) and RSI period (2+) for prediction sensitivity—shorter for volatility, longer for trends. Timeframes: Individual per metric (e.g., 1H for QQE Bias to match higher frames; blank for chart timeframe). Thresholds: Adjust gradients and arrows (e.g., Deviation 0.1–5%, ADX 0–100, RSI overbought/oversold). QQE Settings: Length, factor, and smooth for fine-tuned momentum. Data Toggles: Enable/disable FRED, Open Interest, COT for focus (e.g., disable macro for pure intraday). Frahm Options: Window hours (1+), scale multiplier (1–10), dynamic colors for avg candle. Plot/Table: Line color, positions, gradients, and visibility. Ideal Use Case Perfect for MESM2 scalpers and trend traders. Use the Main Table for entry confirmation via predicted deviations and institutional positioning. Leverage the New Metrics Table arrows for short-term signals—enter bullish on green consensus (all ↑), avoid chop on low volatility. Set alerts to catch shifts without constant monitoring. Why It's Valuable Info Table V1 consolidates diverse metrics into actionable visuals, answering critical questions: Is price mispriced? Is momentum aligning? Is volatility manageable? With real-time updates, consensus highlights, and extensive customization, it enhances precision in fast markets, reducing guesswork for confident trades. Note: Optimized for futures; some metrics (OI, COT) unavailable on non-futures symbols. Test on demo accounts. No financial advice—use at your own risk. The provided script reuses open-source elements from TradingView's Color Library and LuxAlgo's QQE Weighted Oscillator, as noted in the script comments and description. Credits are appropriately given in both the description and code comments, satisfying the requirement for attribution. Regarding significant improvements and proportion: The QQE logic comprises approximately 15 lines of code in a script exceeding 400 lines, representing a small proportion (<5%). Adaptations include integration with multi-timeframe support via request.security, user-customizable inputs for length, factor, and smooth, and application within a broader table-based indicator for momentum bias display (with color gradients, arrows, and alerts). This extends the original QQE beyond standalone oscillator use, incorporating it as one of seven metrics in the New Metrics Table for confluence analysis (e.g., consensus highlighting when all metrics align). These are functional enhancements, not mere stylistic or variable changes. The Color Library usage is via official import (import TradingView/Color/1 as Color), leveraging built-in gradient functions without copying code, and applied to enhance visual interpretation across multiple metrics. The script complies with the rules: reused code is minimal, significantly improved through integration and expansion, and properly credited. It qualifies for open-source publication under the Mozilla Public License 2.0, as stated.
Pine Script® indicator
by charleyRT
BitDoctor Risk Appetite DashboardBitDoctor Risk Appetite Dashboard The BitDoctor Risk Appetite Dashboard is a powerful tool for gauging market sentiment and risk appetite across major asset classes. It combines equity, credit, emerging markets, interest rates, and crypto signals into a single dashboard, giving traders a clear view of current market dynamics. What it does: - Calculates momentum for each key asset using a 14-day rate of change. - Normalizes each signal and plots a composite Risk Appetite Strength Index (RASI) on the chart. - Displays a dashboard table showing the momentum of each component in percentage terms alongside the composite RASI. How to use it: The plotted RASI line shows overall risk appetite: - Positive readings suggest a stronger risk-on environment. - Negative readings indicate risk-off sentiment. The dashboard table (top-right corner by default) displays two columns: - Asset : The tracked asset symbol. - Momentum : The current 14-day rate of change as a percentage. Interpreting the table: Each row represents a component of market risk sentiment: - SPY : US equities. - HYG : High yield bonds (credit risk appetite). - EEM : Emerging markets. - 1/UST10Y : Inverted 10-year Treasury yield (lower yields support risk appetite). - ETH : Ethereum (crypto risk proxy). - RASI : The average of the above signals, indicating overall market risk appetite. Higher positive values in the table suggest rising momentum in that asset, which contributes positively to the composite RASI. Conversely, negative values signal declining momentum. You can use these individual readings to see which sectors are driving the current risk sentiment and to time entries and exits accordingly. Customization: The indicator allows you to adjust the table's background color, text color, text size, cell padding, and position so it remains readable and unobtrusive regardless of your chart theme. Use the BitDoctor Risk Appetite Dashboard as part of a broader analysis to align your trades with prevailing risk conditions. It is not a standalone trading signal but a context tool to support better decision-making. Why these assets were chosen: The dashboard uses a carefully selected mix of widely-followed proxies for global risk sentiment: - SPY : Represents large-cap US equity market performance, a key barometer of investor confidence. - HYG : Tracks high-yield corporate bonds, reflecting credit risk appetite in fixed income markets. - EEM : Captures emerging market equities, which are highly sensitive to global risk-on/off dynamics. - 1/UST10Y : The inverse of the US 10-year Treasury yield, as falling yields often accompany risk-on moves and vice versa. - ETH : Ethereum as a representative crypto asset, offering insight into speculative risk appetite in digital assets. This mix provides a comprehensive view of sentiment across traditional and alternative markets, making the dashboard a robust tool for gauging overall risk appetite.
Pine Script® indicator
by bitdoctor
Fractal Pullback Market StructureFractal Pullback Market Structure Author: The_Forex_Steward License: Mozilla Public License 2.0 The Fractal Pullback Market Structure indicator is a sophisticated price action tool designed to visualize internal structure shifts and break-of-structure (BoS) events with high accuracy. It leverages fractal pullback logic to identify market swing points and confirm whether a directional change has occurred. This indicator detects swing highs and lows based on fractal behavior, drawing zigzag lines to connect these key pivot points. It classifies and labels each structural point as either a Higher High (HH), Higher Low (HL), Lower High (LH), or Lower Low (LL). Internal shifts are marked using triangle symbols on the chart, distinguishing bullish from bearish developments. Break of Structure events are confirmed when price closes beyond the most recent swing high or low, and a horizontal line is drawn at the breakout level. This helps traders validate when a structural trend change is underway. Users can configure the lookback period that defines the sensitivity of the pullback detection, as well as a timeframe multiplier to align the logic with higher timeframes such as 4H or Daily. There are visual customization settings for the zigzag lines and BoS markers, including color, width, and style (solid, dotted, or dashed). Alerts are available for each key structural label—HH, HL, LH, LL—as well as for BoS events. These alerts are filtered through a selectable alert mode that separates signals by timeframe category: Low Timeframe (LTF), Medium Timeframe (MTF), and High Timeframe (HTF). Each mode allows the user to receive alerts only when relevant to their strategy. This indicator excels in trend confirmation and reversal detection. Traders can use it to identify developing structure, validate internal shifts, and anticipate breakout continuation or rejection. It is particularly useful for Smart Money Concept (SMC) traders, swing traders, and those looking to refine entries and exits based on price structure rather than lagging indicators. Visual clarity, adaptable timeframe logic, and precise structural event detection make this tool a valuable addition to any price action trader’s toolkit.
Pine Script® indicator
by The_Forex_Steward
3
Economy RadarEconomy Radar — Key US Macro Indicators Visualized A handy tool for traders and investors to monitor major US economic data in one chart. Includes: Inflation: CPI, PCE, yearly %, expectations Monetary policy: Fed funds rate, M2 money supply Labor market: Unemployment, jobless claims, consumer sentiment Economy & markets: GDP, 10Y yield, US Dollar Index (DXY) Options: Toggle indicators on/off Customizable colors Tooltips explain each metric (in Russian & English) Perfect for spotting economic cycles and supporting trading decisions. Add to your chart and get a clear macro picture instantly!
Pine Script® indicator
by Melatue
RISK ROTATION MATRIX ║ BullVision [3.0]🔍 Overview The Risk Rotation Matrix is a comprehensive market regime detection system that analyzes global market conditions across four critical domains: Liquidity, Macroeconomic, Crypto/Commodities, and Risk/Volatility. Through proprietary algorithms and advanced statistical analysis, it transforms 20+ diverse market metrics into a unified framework for identifying regime transitions and risk rotations. This institutional-grade system aims to solve a fundamental challenge: how to synthesize complex, multi-domain market data into clear, actionable trading intelligence. By combining proprietary liquidity calculations with sophisticated cross-asset analysis. The Four-Domain Architecture 1. 💧 LIQUIDITY DOMAIN Our liquidity analysis combines standard metrics with proprietary calculations: Proprietary Components: Custom Global Liquidity Index (GLI): Unique formula aggregating central bank assets, credit spreads, and FX dynamics through our weighted algorithm Federal Reserve Balance Proxy: Advanced calculation incorporating reverse repos, TGA fluctuations, and QE/QT impacts China Liquidity Proxy: First-of-its-kind metric combining PBOC operations with FX-adjusted aggregates Global M2 Composite: Custom multi-currency M2 aggregation with proprietary FX normalization 2. 📈 MACRO DOMAIN Sophisticated integration of global economic indicators: S&P 500: Momentum and trend analysis with custom z-score normalization China Blue Chips: Asian market sentiment with correlation filtering MBA Purchase Index: Real estate market health indicator Emerging Markets (EEMS): Risk appetite measurement Global ETF (URTH): Worldwide equity exposure tracking Each metric undergoes proprietary transformation to ensure comparability and regime-specific sensitivity. 3. 🪙 CRYPTO/COMMODITIES DOMAIN Unique cross-asset analysis combining: Total Crypto Market Cap: Liquidity flow indicator with custom smoothing Bitcoin SOPR: On-chain profitability analysis with adaptive periods MVRV Z-Score: Advanced implementation with multiple MA options BTC/Silver Ratio: Novel commodity-crypto relationship metric Our algorithms detect when crypto markets lead or lag traditional assets, providing crucial timing signals. 4. ⚡ RISK/VOLATILITY DOMAIN Advanced volatility regime detection through: MOVE Index: Bond volatility with inverse correlation analysis VVIX/VIX Ratio: Volatility-of-volatility for regime extremes SKEW Index: Tail risk measurement with custom normalization Credit Stress Composite: Proprietary combination of credit spreads USDT Dominance: Crypto flight-to-safety indicator All risk metrics are inverted and normalized to align with the unified scoring system. 🧠 Advanced Integration Methodology Multi-Stage Processing Pipeline Data Collection: Real-time aggregation from 20+ sources Normalization: Custom z-score variants accounting for regime-specific volatility Domain Scoring: Proprietary weighting within each domain Cross-Domain Synthesis: Advanced correlation matrix between domains Regime Detection: State-transition model identifying four market phases Signal Generation: Composite score with adaptive smoothing 🔁 Composite Smoothing & Signal Generation The user can apply smoothing (ALMA, EMA, etc.) to highlight trends and reduce noise. Smoothing length, type, and parameters are fully customizable for different trading styles. 🎯 Color Feedback & Market Regimes Visual dynamics (color gradients, labels, trails, and quadrant placement) offer an at-a-glance interpretation of the market’s evolving risk environment—without forecasting or forward-looking assumptions. 🎯 The Quadrant Visualization System Our innovative visual framework transforms complex calculations into intuitive intelligence: Dynamic Ehlers Loop: Shows current position and momentum Trailing History: Visual path of regime transitions Real-Time Animation: Immediate feedback on condition changes Multi-Layer Information: Depth through color, size, and positioning 🚀 Practical Applications Primary Use Cases Multi-Asset Portfolio Management: Optimize allocation across asset classes based on regime Risk Budgeting: Adjust exposure dynamically with regime changes Tactical Trading: Time entries/exits using regime transitions Hedging Strategies: Implement protection before risk-off phases Specific Trading Scenarios Domain Divergence: When liquidity improves but risk metrics deteriorate Early Rotation Detection: Crypto/commodity signals often lead broader markets Volatility Regime Trades: Position for mean reversion or trend following Cross-Asset Arbitrage: Exploit temporary dislocations between domains ⚙️ How It Works The Composite Score Engine The system's intelligence emerges from how it combines domains: Each domain produces a normalized score (-2 to +2 range) Proprietary algorithms weight domains based on market conditions Composite score indicates overall market regime Smoothing options (ALMA, EMA, etc.) optimize for different timeframes Regime Classification 🟢 Risk-On (Green): Positive composite + positive momentum 🟠 Weakening (Orange): Positive composite + negative momentum 🔵 Recovery (Blue): Negative composite + positive momentum 🔴 Risk-Off (Red): Negative composite + negative momentum Signal Interpretation Framework The indicator provides three levels of analysis: Composite Score: Overall market regime (-2 to +2) Domain Scores: Identify which factors drive regime Individual Metrics: Granular analysis of specific components 🎨 Features & Functionality Core Components Risk Rotation Quadrant: Primary visual interface with Ehlers loop Data Matrix Dashboard: Real-time display of all 20+ metrics Domain Aggregation: Separate scores for each domain Composite Calculation: Unified score with multiple smoothing options Customization Options Selective Metrics: Enable/disable individual components Period Adjustment: Optimize lookback for each metric Smoothing Selection: 10 different MA types including ALMA Visual Configuration: Quadrant scale, colors, trails, effects Advanced Settings Pre-smoothing: Reduce noise before final calculation Adaptive Periods: Automatic adjustment during volatility Correlation Filters: Remove redundant signals Regime Memory: Hysteresis to prevent whipsaws 📋 Implementation Guide Setup Process Add to chart (optimized for daily, works on all timeframes) Review default settings for your market focus Adjust domain weights based on trading style Configure visual preferences Optimization by Trading Style Position Trading: Longer periods (60-150), heavy smoothing Swing Trading: Medium periods (20-60), balanced smoothing Active Trading: Shorter periods (10-40), minimal smoothing Best Practices Monitor domain divergences for early signals Use extreme readings (-1.5/+1.5) for high-conviction trades Combine with price action for confirmation Adjust parameters during major events (FOMC, earnings) 💎 What Makes This Unique Beyond Traditional Indicators Multi-Domain Integration: Only system combining liquidity, macro, crypto, and volatility Proprietary Calculations: Custom formulas for GLI, Fed, China, and M2 proxies Adaptive Architecture: Dynamically adjusts to market regimes Institutional Depth: 20+ integrated metrics vs typical 3-5 Technical Innovation Statistical Normalization: Custom z-score variants for cross-asset comparison Correlation Management: Prevents double-counting related signals Regime Persistence: Algorithms to identify sustainable vs temporary shifts Visual Intelligence: Information-dense display without overwhelming 🔢 Performance Characteristics Strengths Early regime detection (typically 1-3 weeks ahead) Robust across different market environments Clear visual feedback reduces interpretation errors Comprehensive coverage prevents blind spots Optimal Conditions Most effective with 100+ bars of history Best on daily timeframe (4H minimum recommended) Requires liquid markets for accurate signals Performance improves with more enabled components ⚠️ Risk Considerations & Limitations Important Disclaimers Probabilistic system, not predictive Requires understanding of macro relationships Signals should complement other analysis Past regime behavior doesn't guarantee future patterns Known Limitations Black swan events may cause temporary distortions Central bank interventions can override signals Requires active management during regime transitions Not suitable for pure technical traders 💎 Conclusion The Risk Rotation Matrix represents a new paradigm in market regime analysis. By combining proprietary liquidity calculations with comprehensive multi-domain monitoring, it provides institutional-grade intelligence previously available only to large funds. The system's strength lies not just in its individual components, but in how it synthesizes diverse market information into clear, actionable trading signals. ⚠️ Access & Intellectual Property Notice This invite-only indicator contains proprietary algorithms, custom calculations, and years of quantitative research. The mathematical formulations for our liquidity proxies, cross-domain correlation matrices, and regime detection algorithms represent significant intellectual property. Access is restricted to protect these innovations and maintain their effectiveness for serious traders who understand the value of comprehensive market regime analysis.
Pine Script® indicator
by BullVisionCapital
Monday Swing Box# Monday Swing Box Indicator - Trading Applications This "Monday Swing Box" indicator can be very useful in trading for several strategic reasons: ## 1. **"Monday Effect" Analysis** * **Concept**: Mondays often have particular characteristics in the markets (opening gaps, weekend catch-up, different volumes) * **Utility**: Allows visualization and quantification of these Monday-specific movements * **Application**: Helps identify recurring patterns in your strategy ## 2. **Relative Volatility Measurement with ATR** * **The ATR percentage tells you**: * **< 50%**: Low volatility Monday (possible consolidation) * **50-100%**: Normal volatility * **> 100%**: Very volatile Monday (important event, potential breakout) * **Advantage**: Contextualizes the movement relative to historical volatility ## 3. **Practical Trading Applications** ### **For Day Trading**: * **Entry**: A Monday with >150% ATR may signal a strong movement to follow * **Stop Loss**: Adjust stop sizes according to Monday's volatility * **Targets**: Calibrate targets according to the movement's magnitude ### **For Swing Trading**: * **Support/Resistance**: Monday's high/low often become key levels * **Breakout**: Breaking above/below Monday's box may signal continuation * **Retracement**: Return to Monday's box = support/resistance zone ### **For Risk Management**: * **Sizing**: Adapt position sizes according to measured volatility * **Timing**: Avoid trading abnormally volatile Mondays if you prefer stability ## 4. **Specific Possible Strategies** ### **"Monday Breakout"**: * Wait for a break above/below Monday's box * Enter in the direction of the breakout * Stop at the other end of the box ### **"Monday Reversal"**: * If Monday shows >200% ATR, look for a reversal * The box becomes a resistance/support zone ### **"Monday Range"**: * Trade bounces off the box limits * Particularly effective if ATR % is normal (50-100%) ## 5. **Visualization Advantages** * **Historical**: See past patterns across multiple Mondays * **Comparison**: Compare current volatility to previous Mondays * **Anticipation**: Prepare your strategy according to the type of Monday observed ## 6. **Limitations to Consider** * Monday patterns can vary according to markets and periods * Don't trade solely on this indicator, but use it as a complement * Consider macroeconomic context and news This indicator is therefore particularly useful for traders who want to exploit Monday's specificities and have an objective measure of this day's relative volatility compared to normal market conditions.
Pine Script® indicator
by MrsLevarg
Intradayscanner – Institutional Interest (vs. RSP)This indicator measures volatility-adjusted Relative Residual Strength (RRS) of any symbol versus RSP (the Invesco S&P 500® Equal Weight ETF) to surface potential institutional interest overlooked by cap-weighted benchmarks. Equal-weighted benchmark: Uses RSP instead of SPY, so each S&P 500 component carries equal influence—highlighting broad institutional flows beyond the largest names. ATR normalization: Computes a “Divergence Index” by dividing RSP’s price move by its ATR(14), then adjusts the symbol’s move by that index and rescales by its own ATR(14). This isolates true outperformance. Residual focus: RRS represents the portion of a symbol’s move unexplained by broad-market action, making it easier to spot when institutions rotate into specific stocks. Visualization: Plots RRS as green/red histogram bars and overlays a 14-period EMA for trend smoothing.
Pine Script® indicator
by Milo_Intradayscanner
Signalgo XSignalgo X Signalgo X is a sophisticated indicator crafted for traders who demand a disciplined, multi-layered approach to market analysis and trade management. This overview will help you understand its capabilities, logic, and how it can elevate your trading. Core Concept Signalgo X is built to: Scan multiple timeframes simultaneously for price, volume, and volatility patterns. Filter out unreliable signals during periods of market hype or manipulation. Automate trade management with dynamic take-profit (TP), stop-loss (SL), and trailing logic. Deliver actionable, visual signals and alerts for timely, confident decisions. Inputs & Controls Preset System Parameters: News Sensitivity: Determines how responsive the indicator is to price moves. Hype Filter Strength: Sets how aggressively the system avoids volatile, manipulated, or news-driven periods. User-Configurable: Show TP/SL Logic: Turn on/off the display of take-profit and stop-loss levels directly on your chart. How Signalgo X Works 1. Multi-Timeframe Market Analysis Signalgo X continuously monitors: Closing price Trading volume Volatility (ATR) across six distinct timeframes, from 1 hour to 3 months. This layered approach ensures that signals are validated by both short-term momentum and long-term trends. 2. Price, Volume, and Volatility Synthesis Price Change: The system tracks percentage changes over each timeframe to gauge momentum. Volume Ratio: By comparing current volume to a moving average, it detects unusual spikes that may signal institutional activity or manipulation. Volatility: Measures the intensity of price movements relative to average ranges, helping to identify breakout or exhaustion scenarios. 3. Proprietary Anti-Hype Filter A unique scoring mechanism evaluates: Volume spikes without corresponding price action Sudden jumps in volatility Conflicting signals across timeframes Social hype proxies (e.g., sharp moves on low volume) If the market is deemed “hyped,” all trading signals are suppressed and a clear warning is shown, keeping you out of unpredictable conditions. 4. Signal Classification & Mapping Significant Moves: Only price actions that exceed a sensitivity threshold and are confirmed by volume/volatility are considered. Bullish/Bearish Signals: Generated for each timeframe. Signal Strength: Categorized as regular, or strong based on multi-timeframe agreement. Entry & Exit Strategy Entry Logic Long (Buy) Entry: Triggered when bullish signals are detected (of any strength) and no hype is present. Short (Sell) Entry: Triggered when bearish signals are detected and no hype is present. Exit & Trade Management Stop Loss (SL): Placed at a calculated distance from entry, adapting to recent volatility. Take Profits (TP1, TP2, TP3): Three profit targets, each at a greater reward multiple. Trailing Stop: After the first take-profit is hit, the stop-loss moves to breakeven and a trailing stop is activated to protect further gains. Event Tracking: The indicator visually marks when each TP or SL is hit, providing real-time feedback. Chart Plots: All relevant SL, TP, and trailing stop levels are clearly marked for both long and short trades. Labels: Entry, exit, and signal strength events are color-coded and visually prominent. Alerts: Built-in alert conditions allow you to set up TradingView notifications for strong/regular buy/sell signals and hype warnings. Trading Strategy Application Multi-Timeframe Confirmation: Only strong signals confirmed by several timeframes are acted upon, reducing false positives. Volume & Volatility Awareness: The indicator avoids low-quality, “fakeout” signals by requiring confirmation from both price and volume/volatility. Hype Avoidance: Keeps you out of the market during news-driven or manipulated periods, helping to protect your capital. Automated Discipline: The TP/SL logic enforces a rules-based exit strategy, helping you lock in profits and limit losses without emotional interference. Who Should Use Signalgo X? Signalgo X is ideal for traders who want: Systematic, high-confidence signals Automated and disciplined trade management Protection against unpredictable market events Clear, actionable visuals and alerts
Pine Script® indicator
by signalgo
AD Line of S&P SectorsAdvance-Decline Line of S&P 500 Sectors This indicator tracks the breadth strength of the S&P 500 by combining an unweighted Advance-Decline (A/D) Line and a market-cap weighted A/D Histogram across all 11 major S&P sectors. Key Features Sector A/D Histogram: Measures sector breadth based on whether each sector advanced or declined, then weights it by its current estimated market cap share. Unweighted A/D Line: Smooth average of sectors equally weighted, giving an alternative breadth view that’s less biased by large sectors. Top Weighted Stocks Tracker: Tracks the daily percentage change of the top 10 highest-weighted S&P 500 stocks, scaled by their index weights, and overlays them as a background area plot. Zero Crossovers: Histogram and line crossing zero can help highlight broadening strength or weakness. Customizable Sector Weights: Sector weights can be adjusted in the settings. It is recommended to review and update these periodically to reflect changes in S&P sector allocations. Repaint Option: Uses a user-selectable repaint mode for flexible bar update logic. How to Use Trend Confirmation: When the weighted histogram and unweighted line are above zero together, it indicates broad sector strength; below zero suggests broad weakness. Neutral Zone: Values between +0.5 and -0.5 (or your custom thresholds) may imply a ranging market or slower movement. Top Names Context: The top-weighted stocks area shows how much the index’s largest components are pulling the market up or down, relative to the broader sector breadth. ⚠️ Disclaimer This script is for educational and informational purposes only and does not constitute financial advice. Always do your own research and consult with a qualified financial professional before making trading decisions. Use at your own risk.
Pine Script® indicator
by FOUNDRYFUTURES
Delta Spike Detector [GSK-VIZAG-AP-INDIA]📌 Delta Spike Detector – Volume Imbalance Ratio By GSK-VIZAG-AP-INDIA 📘 Overview This indicator highlights aggressive buying or selling activity by analyzing the imbalance between estimated Buy and Sell volume per candle. It flags moments when one side dominates the other significantly — defined by user-selectable volume ratio thresholds (10x, 15x, 20x, 25x). 📊 How It Works Buy/Sell Volume Estimation Approximates buyer and seller participation using candle structure: Buy Volume = Proximity of close to low Sell Volume = Proximity of close to high Delta & Delta Ratio Delta = Buy Volume − Sell Volume Delta Ratio = Ratio of dominant volume side to the weaker side When this ratio exceeds a threshold, it’s classified as a spike. Spike Labels Labels are plotted on the chart: 10x B, 15x B, 20x B, 25x B → Buy Spike Labels (below candles) 10x S, 15x S, 20x S, 25x S → Sell Spike Labels (above candles) The color of each label reflects the spike strength. ⚙️ User Inputs Enable/Disable Buy or Sell Spikes Set custom delta ratio thresholds (default: 10x, 15x, 20x, 25x) 🎯 Use Cases Spotting sudden aggressive activity (e.g. smart money moves, traps, breakouts) Identifying short-term market exhaustion or momentum bursts Complementing other trend or volume-based tools ⚠️ Important Notes The script uses approximated Buy/Sell Volume based on price position, not actual order flow. This is not a buy/sell signal generator. It should be used in context with other confirmation indicators or market structure. ✍️ Credits Developed by GSK-VIZAG-AP-INDIA For educational and research use only.
Pine Script® indicator
by prowelltraders
Jags Dynamic S/R with Breakout & Weakness SignalsThis script is designed to automatically identify and display significant support and resistance levels on your chart. It then goes a step further by actively monitoring for potential breakouts and signs of support weakness. Core Functionality: Identifying Key Levels At its heart, the script uses a pivot logic to find recent price highs and lows, which it then plots as horizontal lines representing potential resistance and support, respectively. You have full control over how these levels are identified: Timeframe: You can choose to find these pivot points on the current chart's timeframe or a higher one (e.g., daily pivots on an hourly chart). Lookback Period: You can define how many bars to the left and right of a pivot point the script should consider, allowing you to fine-tune the significance of the levels it identifies. Line Management: To keep your chart clean, you can set the maximum number of support and resistance lines to display. The script also has a clever "merge" feature that combines new pivot levels with existing ones if they are very close together, preventing clutter. Breakout Detection A key feature of this indicator is its ability to signal when the price breaks through one of these identified support or resistance levels. You can enable or disable this feature and choose from several confirmation methods to suit your trading style: Simple Price Action: A breakout is confirmed simply by the price closing above a resistance level or below a support level. ATR (Average True Range): For a breakout to be valid, the price must close a certain distance (based on the ATR) beyond the level, filtering out minor fluctuations. Volume: This option adds another layer of confirmation by requiring a significant increase in trading volume during the breakout, suggesting strong conviction behind the move. Momentum: This method uses the RSI (Relative Strength Index) to confirm that the breakout is supported by strong underlying momentum. Quantitative: A more advanced option that uses a combination of the Rate of Change (ROC) and a Volume-Weighted Moving Average (VWMA) to provide a robust, multi-faceted confirmation of the breakout. When a confirmed breakout occurs, the script will: Color the breakout bar green for a bullish breakout (upward) or red for a bearish breakout (downward). Place an arrow below a bullish breakout or above a bearish breakout. Trigger an alert to notify you of the event. Support Weakness Detection To provide an early warning of a potential breakdown, the script includes a unique "Support Weakness Detection" feature. When enabled, it looks for a specific confluence of bearish signals as the price approaches a support level: The price is hovering just above a key support level. The short-term trend has already turned bearish (based on a moving average). Momentum is fading (indicated by a falling RSI). If all these conditions are met, a blue down-arrow will appear above the price bar, signalling that the nearby support may not hold.
Pine Script® indicator
by jdhillon7
Floor and Roof Indicator with SignalsFloor and Roof Indicator with Trading Signals A comprehensive support and resistance indicator that identifies premium and discount zones with automated signal generation. Key Features: Dynamic Support/Resistance Zones: Calculates floor (support) and roof (resistance) levels using price action and volatility Premium/Discount Zone Identification: Highlights areas where price may find resistance or support Customizable Signal Frequency: Control how often signals are displayed (every Nth occurrence) Visual Signal Table: Optional table showing the last 5 long and short signal prices Multiple Timeframe Compatibility: Works across all timeframes Technical Details: Uses ATR-based calculations for dynamic zone width adjustment Combines Bollinger Bands with highest/lowest price analysis Smoothing options for cleaner signal generation Fully customizable colors and display options How to Use: Floor Zones (Blue): Potential support areas where long positions may be considered Roof Zones (Pink): Potential resistance areas where short positions may be considered Signal Crosses: Visual markers when price interacts with key levels Signal Table: Track recent signal prices for analysis Settings: Length: Period for calculations (default: 200) Smooth: Smoothing factor for cleaner signals Zone Width: Adjust the thickness of support/resistance zones Signal Frequency: Control signal display frequency Visual Options: Customize colors and table position Alerts Available: Long signal alerts when price touches discount zones Short signal alerts when price reaches premium zones Educational Purpose: This indicator is designed to help traders identify potential support and resistance areas. Always combine with proper risk management and additional analysis. This description focuses on the technical aspects and educational value while avoiding any language that could be interpreted as financial advice or guaranteed profits.
Pine Script® indicator
by profitgang
1
THE HISTORY By [VXN] THE HISTORY By - Monthly Seasonal Analysis Indicator Development Status: This indicator is currently in the development phase and is not yet finished. Features and functionality may change as development continues. Overview: This indicator provides comprehensive historical analysis of monthly price patterns, designed to help traders identify recurring seasonal behaviors and market tendencies for the current month across multiple years of data. Key Features: Historical Data Analysis: - Analyzes up to 10 years of historical performance for the current month - Calculates monthly returns, win rates, and statistical metrics - Tracks maximum drawdowns and runups for risk assessment - Requires daily timeframe for accurate monthly calculations Pattern Recognition: - Implements a three-period classification system that breaks each month into segments - Uses visual indicators (🟢🔴🟡) to represent bullish, bearish, and neutral periods - Helps identify recurring intra-month behavior patterns Statistical Display: - Presents historical data in an organized table format - Shows year-by-year performance comparisons - Calculates average returns, best/worst performance, and confidence levels - Displays overall market bias (bullish/bearish tendency) for the current month Dynamic Zone Overlays: - Projects Fibonacci-based support/resistance levels based on historical volatility - Adjusts zone positioning based on the month's historical bias - Provides visual reference points for potential price targets or reversal areas Practical Applications: - Seasonal trading strategy development - Risk management through historical context - Understanding market cyclicality and recurring patterns - Educational tool for studying price behavior over time Note: This indicator is designed for analysis and education purposes, helping traders understand historical market patterns rather than providing direct trading signals. The data should be used in conjunction with other forms of analysis and proper risk management. As this is still under development, please expect updates and refinements to functionality.
Pine Script® indicator
by VXN_618
1
xGhozt Wickless Candle Streak ProbabilityThe xGhozt Wickless Candle Streak Probability is a custom Pine Script indicator designed to identify and quantify the occurrence of consecutive "wickless" candles of the same trend (either bullish or bearish). Key Features: Wickless Candle Detection: It first identifies candles that lack an upper or lower wick (meaning their open/close is equal to their high/low, respectively). Consecutive Streak Tracking: The indicator tracks how many wickless bullish candles occur in a row, and similarly for wickless bearish candles. User-Defined Streak Length: You can specify a Streak Length in the indicator's settings. This defines how many consecutive wickless candles are needed to register a "streak." Probability Calculation: For the chosen Streak Length, the indicator calculates the historical probability (as a percentage) of encountering such a streak for both bullish and bearish wickless candles. This is done by dividing the number of times a streak of that length has occurred by the total number of candles scanned. On-Chart Display: The results, including the total wickless candles, total scanned candles, and the calculated streak probabilities, are displayed in a convenient table directly on your chart. Purpose: This indicator helps traders and analysts understand the historical likelihood of sustained, strong directional moves as indicated by consecutive wickless candles. By quantifying these probabilities, it can provide insights into potential continuation patterns or extreme market conditions, which might be useful for developing trading strategies or confirming market biases.
Pine Script® indicator
by xGhozt
BANKNIFTY Contribution Table [GSK-VIZAG-AP-INDIA]1. Overview This indicator provides a real-time visual contribution table of the 12 constituent stocks in the BANKNIFTY index. It displays key metrics for each stock that help traders quickly understand how each component is impacting the index at any given moment. 2. Purpose / Trading Use Case The tool is designed for intraday and short-term traders who rely on index movement and its internal strength or weakness. By seeing which stocks are contributing positively or negatively, traders can: Confirm trend strength or divergence within the index. Identify whether a BANKNIFTY move is broad-based or driven by a few heavyweights. Detect reversals when individual components decouple from index direction. 3. Key Features and Logic Live LTP: Current price of each BANKNIFTY stock. Price Change: Difference between current LTP and previous day’s close. % Change: Percentage move from previous close. Weight %: Static weight of each stock within the BANKNIFTY index (user-defined). This estimates how much each stock contributes to the BANKNIFTY’s point change. Sorted View: The stocks are sorted by their weight (descending), so high-impact movers are always at the top. 4. User Inputs / Settings Table Position (tableLocationOpt): Choose where the table appears on the chart: top_left, top_right, bottom_left, or bottom_right. This helps position the table away from your price action or indicators. 5. Visual and Plotting Elements Table Layout: 6 columns Stock | Contribution | Weight % | LTP | Change | % Change Color Coding: Green/red for positive/negative price changes and contributions. Alternating background rows for better visibility. BANKNIFTY row is highlighted separately at the top. Text & Background Colors are chosen for both readability and direction indication. 6. Tips for Effective Use Use this table on 1-minute or 5-minute intraday charts to see near real-time market structure. Watch for: A few heavyweight stocks pulling the index alone (can signal weak internal breadth). Broad green/red across all rows (signals strong directional momentum). Combine this with price action or volume-based strategies for confirmation. Best used during market hours for live updates. 7. What Makes It Unique Unlike other contribution tables that show only static data or require paid feeds, this script: Updates in real time. Uses dynamic calculated contributions. Places BANKNIFTY at the top and presents the entire internal structure clearly. Doesn’t repaint or rely on lagging indicators. 8. Alerts / Additional Features No alerts are added in this version. (Optional: Alerts can be added to notify when a certain stock contributes above/below a threshold.) 9. Technical Concepts Used request.security() to pull both 1-minute and daily close data. Conditional color formatting based on price change direction. Dynamic table rendering using table.new() and table.cell(). Static weights assigned manually for BANKNIFTY stocks (can be updated if index weights change). 10. Disclaimer This script is intended for educational and informational purposes only. It does not constitute financial advice or a buy/sell recommendation. Users should test and validate the tool on paper or demo accounts before applying it to live trading. 📌 Note: Due to internet connectivity, data delays, or broker feeds, real-time values (LTP, change, contribution, etc.) may slightly differ from other platforms or terminals. Use this indicator as a supportive visual tool, not a sole decision-maker. Script Title: BANKNIFTY Contribution Table - Author: GSK-VIZAG-AP-INDIA Version: Final Public Release
Pine Script® indicator
by prowelltraders
Momentum Regression [BackQuant]Momentum Regression The Momentum Regression is an advanced statistical indicator built to empower quants, strategists, and technically inclined traders with a robust visual and quantitative framework for analyzing momentum effects in financial markets. Unlike traditional momentum indicators that rely on raw price movements or moving averages, this tool leverages a volatility-adjusted linear regression model (y ~ x) to uncover and validate momentum behavior over a user-defined lookback window. Purpose & Design Philosophy Momentum is a core anomaly in quantitative finance — an effect where assets that have performed well (or poorly) continue to do so over short to medium-term horizons. However, this effect can be noisy, regime-dependent, and sometimes spurious. The Momentum Regression is designed as a pre-strategy analytical tool to help you filter and verify whether statistically meaningful and tradable momentum exists in a given asset. Its architecture includes: Volatility normalization to account for differences in scale and distribution. Regression analysis to model the relationship between past and present standardized returns. Deviation bands to highlight overbought/oversold zones around the predicted trendline. Statistical summary tables to assess the reliability of the detected momentum. Core Concepts and Calculations The model uses the following: Independent variable (x): The volatility-adjusted return over the chosen momentum period. Dependent variable (y): The 1-bar lagged log return, also adjusted for volatility. A simple linear regression is performed over a large lookback window (default: 1000 bars), which reveals the slope and intercept of the momentum line. These values are then used to construct: A predicted momentum trendline across time. Upper and lower deviation bands , representing ±n standard deviations of the regression residuals (errors). These visual elements help traders judge how far current returns deviate from the modeled momentum trend, similar to Bollinger Bands but derived from a regression model rather than a moving average. Key Metrics Provided On each update, the indicator dynamically displays: Momentum Slope (β₁): Indicates trend direction and strength. A higher absolute value implies a stronger effect. Intercept (β₀): The predicted return when x = 0. Pearson’s R: Correlation coefficient between x and y. R² (Coefficient of Determination): Indicates how well the regression line explains the variance in y. Standard Error of Residuals: Measures dispersion around the trendline. t-Statistic of β₁: Used to evaluate statistical significance of the momentum slope. These statistics are presented in a top-right summary table for immediate interpretation. A bottom-right signal table also summarizes key takeaways with visual indicators. Features and Inputs ✅ Volatility-Adjusted Momentum : Reduces distortions from noisy price spikes. ✅ Custom Lookback Control : Set the number of bars to analyze regression. ✅ Extendable Trendlines : For continuous visualization into the future. ✅ Deviation Bands : Optional ±σ multipliers to detect abnormal price action. ✅ Contextual Tables : Help determine strength, direction, and significance of momentum. ✅ Separate Pane Design : Cleanly isolates statistical momentum from price chart. How It Helps Traders 📉 Quantitative Strategy Validation: Use the regression results to confirm whether a momentum-based strategy is worth pursuing on a specific asset or timeframe. 🔍 Regime Detection: Track when momentum breaks down or reverses. Slope changes, drops in R², or weak t-stats can signal regime shifts. 📊 Trade Filtering: Avoid false positives by entering trades only when momentum is both statistically significant and directionally favorable. 📈 Backtest Preparation: Before running costly simulations, use this tool to pre-screen assets for exploitable return structures. When to Use It Before building or deploying a momentum strategy : Test if momentum exists and is statistically reliable. During market transitions : Detect early signs of fading strength or reversal. As part of an edge-stacking framework : Combine with other filters such as volatility compression, volume surges, or macro filters. Conclusion The Momentum Regression indicator offers a powerful fusion of statistical analysis and visual interpretation. By combining volatility-adjusted returns with real-time linear regression modeling, it helps quantify and qualify one of the most studied and traded anomalies in finance: momentum.
Pine Script® indicator
by BackQuant
3
Tsallis Entropy Market RiskTsallis Entropy Market Risk Indicator What Is It? The Tsallis Entropy Market Risk Indicator is a market analysis tool that measures the degree of randomness or disorder in price movements. Unlike traditional technical indicators that focus on price patterns or momentum, this indicator takes a statistical physics approach to market analysis. Scientific Foundation The indicator is based on Tsallis entropy, a generalization of traditional Shannon entropy developed by physicist Constantino Tsallis. The Tsallis entropy is particularly effective at analyzing complex systems with long-range correlations and memory effects—precisely the characteristics found in crypto and stock markets. The indicator also borrows from Log-Periodic Power Law (LPPL). Core Concepts 1. Entropy Deficit The primary measurement is the "entropy deficit," which represents how far the market is from a state of maximum randomness: Low Entropy Deficit (0-0.3): The market exhibits random, uncorrelated price movements typical of efficient markets Medium Entropy Deficit (0.3-0.5): Some patterns emerging, moderate deviation from randomness High Entropy Deficit (0.5-0.7): Strong correlation patterns, potentially indicating herding behavior Extreme Entropy Deficit (0.7-1.0): Highly ordered price movements, often seen before significant market events 2. Multi-Scale Analysis The indicator calculates entropy across different timeframes: Short-term Entropy (blue line): Captures recent market behavior (20-day window) Long-term Entropy (green line): Captures structural market behavior (120-day window) Main Entropy (purple line): Primary measurement (60-day window) 3. Scale Ratio This measures the relationship between long-term and short-term entropy. A healthy market typically has a scale ratio above 0.85. When this ratio drops below 0.85, it suggests abnormal relationships between timeframes that often precede market dislocations. How It Works Data Collection: The indicator samples price returns over specific lookback periods Probability Distribution Estimation: It creates a histogram of these returns to estimate their probability distribution Entropy Calculation: Using the Tsallis q-parameter (typically 1.5), it calculates how far this distribution is from maximum entropy Normalization: Results are normalized against theoretical maximum entropy to create the entropy deficit measure Risk Assessment: Multiple factors are combined to generate a composite risk score and classification Market Interpretation Low Risk Environments (Risk Score < 25) Market is functioning efficiently with reasonable randomness Price discovery is likely effective Normal trading and investment approaches appropriate Medium Risk Environments (Risk Score 25-50) Increasing correlation in price movements Beginning of trend formation or momentum Time to monitor positions more closely High Risk Environments (Risk Score 50-75) Strong herding behavior present Market potentially becoming one-sided Consider reducing position sizes or implementing hedges Extreme Risk Environments (Risk Score > 75) Highly ordered market behavior Significant imbalance between buyers and sellers Heightened probability of sharp reversals or corrections Practical Application Examples Market Tops: Often characterized by gradually increasing entropy deficit as momentum builds, followed by extreme readings near the actual top Market Bottoms: Can show high entropy deficit during capitulation, followed by normalization Range-Bound Markets: Typically display low and stable entropy deficit measurements Trending Markets: Often show moderate entropy deficit that remains relatively consistent Advantages Over Traditional Indicators Forward-Looking: Identifies changing market structure before price action confirms it Statistical Foundation: Based on robust mathematical principles rather than empirical patterns Adaptability: Functions across different market regimes and asset classes Noise Filtering: Focuses on meaningful structural changes rather than price fluctuations Limitations Not a Timing Tool: Signals market risk conditions, not precise entry/exit points Parameter Sensitivity: Results can vary based on the chosen parameters Historical Context: Requires some historical perspective to interpret effectively Complementary Tool: Works best alongside other analysis methods Enjoy :)
Pine Script® indicator
by HenriqueCentieiro
Better MACD📘 Better MACD – Adaptive Momentum & Divergence Suite Better MACD is a comprehensive momentum-trend tool that evolves the traditional MACD into a multi-dimensional, divergence-aware oscillator. It leverages exponential smoothing across logarithmic rate-of-change of OHLC data, adaptive signal processing, and intelligent divergence detection logic to provide traders with earlier, smoother, and more reliable momentum signals. This indicator is built for professional-level analysis, suitable for scalping, swing trading, and trend-following systems. 🧬 Core Concept Unlike the classic MACD which subtracts two EMAs of price, Better MACD constructs a signal by: Applying logarithmic transformation on the change between OHLC components (Close, High, Low, Open). Using double EMA smoothing to filter noise and volatility, Triangular method. 1st to 2nd Smoothing. Averaging and de-biasing the results through a custom linear regression model, 4th Smoothing. Subtracting a fast SMA and slow SMA response to yield a dynamic MACD value, 3rd Smoothing. The result is a smooth, adaptive, and high-resolution MACD-style oscillator that responds more naturally to trend conditions and price geometry. 🧠 Features Breakdown 1. 📈 Multi-Layer MACD Engine Src1: Smoothed Log Rate-of-Change on Close Src2: Smoothed Log Rate-of-Change on High Src3: Smoothed Log Rate-of-Change on Low Src4: Smoothed Log Rate-of-Change on Open These are blended using highest high, lowest low, and average Close price over a configurable window for more complete trend detection. The open-based Src4 is subtracted using SMA. 2. 🧮 Signal Line A fast EMA (signalLength) of the Better MACD value is used for crossover logic. Crossovers of MACD and Signal line signal potential entries or exits. 3. 📊 MACD Histogram Visualizes the difference between MACD and Signal line. Dynamically color-coded: Green/Light Green for bullish impulse Red/Pink for bearish impulse Width and color intensity reflect strength and momentum slope. 🎨 Visual Enhancements Feature Description ✅ Ribbon Fill Optional fill between MACD and Signal line, colored by trend direction ✅ Zero-Line Background Background highlights above/below 0 to easily read bullish/bearish bias ✅ Crossover Highlights Tiny circles plotted when MACD crosses Signal line 🔍 Divergence Detection Suite The script includes a full Divergence Engine to detect: 🔼 Bullish Regular Divergence (Price lower lows + Indicator higher lows) 🔽 Bearish Regular Divergence (Price higher highs + Indicator lower highs) 🟢 Bullish Hidden Divergence (Price higher lows + Indicator lower lows) 🔴 Bearish Hidden Divergence (Price lower highs + Indicator higher highs) 🧩 Divergence Modes: Supports both Regular, Hidden, or Both simultaneously Detects from either Close Price or Heikin Ashi-derived candles Uses dynamic pivot tracking with configurable lookback and divergence sensitivity Divergence lines are labeled, colored, and plotted in real-time 🔁 Styling & Customization: Choose from Solid, Dashed, or Dotted line styles Configure separate colors and widths for all divergence types Control number of divergence lines visible or only show the most recent Divergences update live without repainting ⚠️ Alerts Alerts are built-in for real-time notification: MACD Histogram reversals (rising → falling, or vice versa) Divergence signals (all 4 types, grouped and individually) Combines seamlessly with TradingView alerts for actionable triggers 🔧 Input Controls (Grouped by Purpose) Better MACD Group 1st–4th Smoothing Lengths: Controls responsiveness of MACD core engine Signal Length: Smoothness of signal line Toggles for crossover highlights, zero cross fills, and ribbon fills Divergence Settings Enable/disable divergence lines Choose divergence type (Regular, Hidden, Both) Set confirmation requirements Customize pivot detection and bar search depth Styling Options Colors, line widths, and line styles for each divergence type Heikin Ashi Mode for smoother pivots and divergences 🧠 How to Use ✅ For Trend Traders: Use MACD > Signal + Histogram > 0 → Bullish confirmation MACD < Signal + Histogram < 0 → Bearish confirmation Wait for pullbacks with hidden divergences to enter in trend direction ✅ For Reversal Traders: Look for Regular Divergences at trend exhaustion points Combine with price action (e.g., support/resistance or candle pattern) ✅ For Swing & Day Traders: Enable Heikin Ashi Mode for smoother divergence pivots Use zero line background + histogram color to time entries 📌 Summary Feature Description 🚀 Advanced MACD Core Smoother, more reliable, multi-source-based MACD 🔍 Divergence Engine Detects 4 divergence types with pivot logic 🎯 Real-Time Alerts Alerts for histogram slope and divergences 🎛️ Deep Customization Full styling, smoothing, and detection controls 📉 Heikin Ashi Support Improved signal quality in trend-based markets
Pine Script® indicator
by GabrielAmadeusLau
Custom EMA High/Low & SMA - [GSK-VIZAG-AP-INDIA] Custom EMA High/Low & SMA - 1. Overview This indicator overlays a dynamic combination of Exponential Moving Averages (EMA) and Simple Moving Average (SMA) to identify momentum shifts and potential entry/exit zones. It highlights bullish or bearish conditions using color-coded SMA logic and provides visual Buy/Sell signals based on smart crossover and state-based logic. 2. Purpose / Use Case Designed for traders who want to visually identify momentum breakouts, trend reversals, or pullback opportunities, this tool helps: Spot high-probability buy/sell zones Confirm price strength relative to volatility bands (EMA High/Low) Time entries based on clean visual cues It works well in trend-following strategies, particularly in intraday or swing setups across any liquid market (indices, stocks, crypto, etc.). 3. Key Features & Logic ✅ EMA High/Low Channel: Acts as dynamic support/resistance boundaries using 20-period EMAs on high and low prices. ✅ Timeframe-Specific SMA: A 33-period SMA calculated from a user-defined timeframe (default: 10-minute) for flexible multi-timeframe analysis. ✅ Signal Generation: Buy: When SMA drops below EMA Low and close is above EMA High. Sell: When SMA rises above EMA High and price closes below both EMAs. Optionally, signals also fire based on SMA color changes (green = bullish, red = bearish). ✅ Strict or Loose Signal Logic: Choose between precise crossovers or broader state-based conditions. ✅ Debugging Tools: Optional markers for granular insight into condition logic. 4. User Inputs & Settings Input Description EMA High Length Period for EMA of high prices (default: 20) EMA Low Length Period for EMA of low prices (default: 20) SMA Length Period for Simple Moving Average (default: 33) SMA Timeframe Timeframe for SMA (default: “10”) Show Buy/Sell Arrows Enable visual arrow signals for Buy/Sell Strict Signal Logic ON = crossover-based signals; OFF = state logic Plot Signals on SMA Color Change Enable signals on SMA color shifts (Green/Red) Show Debug Markers Plot small markers to debug condition logic 5. Visual Elements Explained 🔵 EMA High Line – Blue line marking dynamic resistance 🔴 EMA Low Line – Red line marking dynamic support 🟡 SMA Line – Color-coded based on position: Green if SMA < EMA Low (Bullish) Red if SMA > EMA High (Bearish) Yellow otherwise (Neutral) ✅ BUY / SELL Labels – Displayed below or above candles on valid signals 🛠️ Debug Circles/Triangles – Help visually understand the signal logic when enabled 6. Usage Tips Best used on 5–30 min timeframes for intraday setups or 1H+ for swing trades. Confirm signals with volume, price action, or other confluences (like support/resistance). Use strict mode for more accurate entries, and non-strict mode for broader trend views. Ideal for identifying pullbacks into trend, or early reversals after volatility squeezes. 7. What Makes It Unique Multi-timeframe SMA integrated with EMA High/Low bands Dual signal logic (crossover + color shift) Visually intuitive and beginner-friendly Minimal clutter with dynamic signal labeling Debug mode for transparency and learning 8. Alerts & Automation The indicator includes built-in alert conditions for: 📈 Buy Alert: Triggered when a bullish condition is detected. 🔻 Sell Alert: Triggered when bearish confirmation is detected. These alerts can be used with TradingView's alert system for real-time notifications or bot integrations. 9. Technical Concepts Used EMA (Exponential Moving Average): Reacts faster to recent price, ideal for trend channels SMA (Simple Moving Average): Smoother average for detecting general trend direction Crossover Logic: Checks when SMA crosses over or under EMA levels Color Coding: Visual signal enhancement based on relative positioning Multi-Timeframe Analysis: SMA calculated on a custom timeframe, powerful for confirmation 10. Disclaimer This script is for educational and informational purposes only. It is not financial advice. Always backtest thoroughly and validate on demo accounts before applying to live markets. Trading involves risk, and past performance does not guarantee future results. 11. Author Signature 📌 Indicator Name: Custom EMA High/Low & SMA - 👤 Author: GSK-VIZAG-AP-INDIA
Pine Script® indicator
by prowelltraders
VegaAlgo – Rating ViewVegaAlgo – Rating View is a market condition analysis tool designed to evaluate the current price structure. The indicator calculates a RATING (from 0 to 100) that reflects how clean, directional, and structured the recent price movement is. The rating is based on the number of price direction changes (from bullish to bearish candles and vice versa) within a selected period. Fewer direction changes indicate a clearer trend and result in a higher rating, while a choppy or highly volatile market leads to a lower score. Additionally, the indicator provides directional signals on three key timeframes — 1M, 5M, and 15M, using a comparison of fast and slow moving averages. This allows traders to quickly assess the dominant trend both locally and across higher timeframes. This script is intended for visual market analysis only and should not be considered financial advice.
Pine Script® indicator
by VegaAlgo