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LTA - Futures Contract Size CalculatorLTA - Futures Contract Size Calculator This indicator helps futures traders calculate the potential stop-loss (SL) value for their trades with ease. Simply input your entry price, stop-loss price, and number of contracts, and the indicator will compute the ticks moved, price movement, and total SL value in USD. Key Features: Supports a wide range of futures contracts, including: Index Futures: E-mini S&P 500 (ES), Micro E-mini S&P 500 (MES), E-mini Nasdaq-100 (NQ), Micro E-mini Nasdaq-100 (MNQ) Commodity Futures: Crude Oil (CL), Gold (GC), Micro Gold (MGC), Silver (SI), Micro Silver (SIL), Platinum (PL), Micro Platinum (MPL), Natural Gas (NG), Micro Natural Gas (MNG) Bond Futures: 30-Year T-Bond (ZB) Currency Futures: Euro FX (6E), Japanese Yen (6J), Australian Dollar (6A), British Pound (6B), Canadian Dollar (6C), Swiss Franc (6S), New Zealand Dollar (6N) Displays key metrics in a clean table (bottom-right corner): Instrument, Entry Price, Stop-Loss Price, Number of Contracts, Tick Size, Ticks Moved, Price Movement, and Total SL Value. Automatically calculates based on the selected instrument’s tick size and tick value. User-friendly interface with a dark theme for better visibility. How to Use: Add the indicator to your chart. Select your instrument from the dropdown (ensure it matches your chart’s symbol, e.g., "NG1!" for NATURAL GAS (NG)). Input your Entry Price, Stop-Loss Price, and Number of Contracts. View the results in the table, including the Total SL Value in USD. Ideal For: Futures traders looking to quickly assess stop-loss risk. Beginners and pros trading indices, commodities, bonds, or currencies. Note: Ensure your chart symbol matches the selected instrument for accurate calculations. For best results, test with a few contracts and price levels to confirm the output. This description is tailored for TradingView’s audience, providing a clear overview of the indicator’s functionality, supported instruments, and usage instructions. It also includes a note to help users avoid common pitfalls (e.g., mismatched symbols). If you’d like to adjust the tone, add more details, or include specific TradingView tags (e.g., , ), let me know!
Indicatore Pine Script®
di lorenzocorrado_
Topological Market Stress (TMS) - Quantum FabricTopological Market Stress (TMS) - Quantum Fabric What Stresses The Market? Topological Market Stress (TMS) represents a revolutionary fusion of algebraic topology and quantum field theory applied to financial markets. Unlike traditional indicators that analyze price movements linearly, TMS examines the underlying topological structure of market data—detecting when the very fabric of market relationships begins to tear, warp, or collapse. Drawing inspiration from the ethereal beauty of quantum field visualizations and the mathematical elegance of topological spaces, this indicator transforms complex mathematical concepts into an intuitive, visually stunning interface that reveals hidden market dynamics invisible to conventional analysis. Theoretical Foundation: Topology Meets Markets Topological Holes in Market Structure In algebraic topology, a "hole" represents a fundamental structural break—a place where the normal connectivity of space fails. In markets, these topological holes manifest as: Correlation Breakdown: When traditional price-volume relationships collapse Volatility Clustering Failure: When volatility patterns lose their predictive power Microstructure Stress: When market efficiency mechanisms begin to fail The Mathematics of Market Topology TMS constructs a topological space from market data using three key components: 1. Correlation Topology ρ(P,V) = correlation(price, volume, period) Hole Formation = 1 - |ρ(P,V)| When price and volume decorrelate, topological holes begin forming. 2. Volatility Clustering Topology σ(t) = volatility at time t Clustering = correlation(σ(t), σ(t-1), period) Breakdown = 1 - |Clustering| Volatility clustering breakdown indicates structural instability. 3. Market Efficiency Topology Efficiency = |price - EMA(price)| / ATR Measures how far price deviates from its efficient trajectory. Multi-Scale Topological Analysis Markets exist across multiple temporal scales simultaneously. TMS analyzes topology at three distinct scales: Micro Scale (3-15 periods): Immediate structural changes, market microstructure stress Meso Scale (10-50 periods): Trend-level topology, medium-term structural shifts Macro Scale (50-200 periods): Long-term structural topology, regime-level changes The final stress metric combines all scales: Combined Stress = 0.3×Micro + 0.4×Meso + 0.3×Macro How TMS Works 1. Topological Space Construction Each market moment is embedded in a multi-dimensional topological space where: - Price efficiency forms one dimension - Correlation breakdown forms another - Volatility clustering breakdown forms the third 2. Hole Detection Algorithm The indicator continuously scans this topological space for: Hole Formation: When stress exceeds the formation threshold Hole Persistence: How long structural breaks maintain Hole Collapse: Sudden topology restoration (regime shifts) 3. Quantum Visualization Engine The visualization system translates topological mathematics into intuitive quantum field representations: Stress Waves: Main line showing topological stress intensity Quantum Glow: Surrounding field indicating stress energy Fabric Integrity: Background showing structural health Multi-Scale Rings: Orbital representations of different timeframes 4. Signal Generation Stable Topology (✨): Normal market structure, standard trading conditions Stressed Topology (⚡): Increased structural tension, heightened volatility expected Topological Collapse (🕳️): Major structural break, regime shift in progress Critical Stress (🌋): Extreme conditions, maximum caution required Inputs & Parameters 🕳️ Topological Parameters Analysis Window (20-200, default: 50) Primary period for topological analysis 20-30: High-frequency scalping, rapid structure detection 50: Balanced approach, recommended for most markets 100-200: Long-term position trading, major structural shifts only Hole Formation Threshold (0.1-0.9, default: 0.3) Sensitivity for detecting topological holes 0.1-0.2: Very sensitive, detects minor structural stress 0.3: Balanced, optimal for most market conditions 0.5-0.9: Conservative, only major structural breaks Density Calculation Radius (0.1-2.0, default: 0.5) Radius for local density estimation in topological space 0.1-0.3: Fine-grained analysis, sensitive to local changes 0.5: Standard approach, balanced sensitivity 1.0-2.0: Broad analysis, focuses on major structural features Collapse Detection (0.5-0.95, default: 0.7) Threshold for detecting sudden topology restoration 0.5-0.6: Very sensitive to regime changes 0.7: Balanced, reliable collapse detection 0.8-0.95: Conservative, only major regime shifts 📊 Multi-Scale Analysis Enable Multi-Scale (default: true) - Analyzes topology across multiple timeframes simultaneously - Provides deeper insight into market structure at different scales - Essential for understanding cross-timeframe topology interactions Micro Scale Period (3-15, default: 5) Fast scale for immediate topology changes 3-5: Ultra-fast, tick/minute data analysis 5-8: Fast, 5m-15m chart optimization 10-15: Medium-fast, 30m-1H chart focus Meso Scale Period (10-50, default: 20) Medium scale for trend topology analysis 10-15: Short trend structures 20-25: Medium trend structures (recommended) 30-50: Long trend structures Macro Scale Period (50-200, default: 100) Slow scale for structural topology 50-75: Medium-term structural analysis 100: Long-term structure (recommended) 150-200: Very long-term structural patterns ⚙️ Signal Processing Smoothing Method (SMA/EMA/RMA/WMA, default: EMA) Method for smoothing stress signals SMA: Simple average, stable but slower EMA: Exponential, responsive and recommended RMA: Running average, very smooth WMA: Weighted average, balanced approach Smoothing Period (1-10, default: 3) Period for signal smoothing 1-2: Minimal smoothing, noisy but fast 3-5: Balanced, recommended for most applications 6-10: Heavy smoothing, slow but very stable Normalization (Fixed/Adaptive/Rolling, default: Adaptive) Method for normalizing stress values Fixed: Static 0-1 range normalization Adaptive: Dynamic range adjustment (recommended) Rolling: Rolling window normalization 🎨 Quantum Visualization Fabric Style Options: Quantum Field: Flowing energy visualization with smooth gradients Topological Mesh: Mathematical topology with stepped lines Phase Space: Dynamical systems view with circular markers Minimal: Clean, simple display with reduced visual elements Color Scheme Options: Quantum Gradient: Deep space blue → Quantum red progression Thermal: Black → Hot orange thermal imaging style Spectral: Purple → Gold full spectrum colors Monochrome: Dark gray → Light gray elegant simplicity Multi-Scale Rings (default: true) - Display orbital rings for different time scales - Visualizes how topology changes across timeframes - Provides immediate visual feedback on cross-scale dynamics Glow Intensity (0.0-1.0, default: 0.6) Controls the quantum glow effect intensity 0.0: No glow, pure line display 0.6: Balanced, recommended setting 1.0: Maximum glow, full quantum field effect 📋 Dashboard & Alerts Show Dashboard (default: true) Real-time topology status display Current market state and trading recommendations Stress level visualization and fabric integrity status Show Theory Guide (default: true) Educational panel explaining topological concepts Dashboard interpretation guide Trading strategy recommendations Enable Alerts (default: true) Extreme stress detection alerts Topological collapse notifications Hole formation and recovery signals Visual Logic & Interpretation Main Visualization Elements Quantum Stress Line Primary indicator showing topological stress intensity Color intensity reflects current market state Line style varies based on selected fabric style Glow effect indicates stress energy field Equilibrium Line Silver line showing average stress level Reference point for normal market conditions Helps identify when stress is elevated or suppressed Upper/Lower Bounds Red upper bound: High stress threshold Green lower bound: Low stress threshold Quantum fabric fill between bounds shows stress field Multi-Scale Rings Aqua circles : Micro-scale topology (immediate changes) Orange circles: Meso-scale topology (trend-level changes) Provides cross-timeframe topology visualization Dashboard Information Topology State Icons: ✨ STABLE: Normal market structure, standard trading conditions ⚡ STRESSED: Increased structural tension, monitor closely 🕳️ COLLAPSE: Major structural break, regime shift occurring 🌋 CRITICAL: Extreme conditions, reduce risk exposure Stress Bar Visualization: Visual representation of current stress level (0-100%) Color-coded based on current topology state Real-time percentage display Fabric Integrity Dots: ●●●●● Intact: Strong market structure (0-30% stress) ●●●○○ Stressed: Weakening structure (30-70% stress) ●○○○○ Fractured: Breaking down structure (70-100% stress) Action Recommendations: ✅ TRADE: Normal conditions, standard strategies apply ⚠️ WATCH: Monitor closely, increased vigilance required 🔄 ADAPT: Change strategy, regime shift in progress 🛑 REDUCE: Lower risk exposure, extreme conditions Trading Strategies In Stable Topology (✨ STABLE) - Normal trading conditions apply - Use standard technical analysis - Regular position sizing appropriate - Both trend-following and mean-reversion strategies viable In Stressed Topology (⚡ STRESSED) - Increased volatility expected - Widen stop losses to account for higher volatility - Reduce position sizes slightly - Focus on high-probability setups - Monitor for potential regime change During Topological Collapse (🕳️ COLLAPSE) - Major regime shift in progress - Adapt strategy immediately to new market character - Consider closing positions that rely on previous regime - Wait for new topology to stabilize before major trades - Opportunity for contrarian plays if collapse is extreme In Critical Stress (🌋 CRITICAL) - Extreme market conditions - Significantly reduce risk exposure - Avoid new positions until stress subsides - Focus on capital preservation - Consider hedging existing positions Advanced Techniques Multi-Timeframe Topology Analysis - Use higher timeframe TMS for regime context - Use lower timeframe TMS for precise entry timing - Alignment across timeframes = highest probability trades Topology Divergence Trading - Most powerful at regime boundaries - Price makes new high/low but topology stress decreases - Early warning of potential reversals - Combine with key support/resistance levels Stress Persistence Analysis - Long periods of stable topology often precede major moves - Extended stress periods often resolve in regime changes - Use persistence tracking for position sizing decisions Originality & Innovation TMS represents a genuine breakthrough in applying advanced mathematics to market analysis: True Topological Analysis: Not a simplified proxy but actual topological space construction and hole detection using correlation breakdown, volatility clustering analysis, and market efficiency measurement. Quantum Aesthetic: Transforms complex topology mathematics into an intuitive, visually stunning interface inspired by quantum field theory visualizations. Multi-Scale Architecture: Simultaneous analysis across micro, meso, and macro timeframes provides unprecedented insight into market structure dynamics. Regime Detection: Identifies fundamental market character changes before they become obvious in price action, providing early warning of structural shifts. Practical Application: Clear, actionable signals derived from advanced mathematical concepts, making theoretical topology accessible to practical traders. This is not a combination of existing indicators or a cosmetic enhancement of standard tools. It represents a fundamental reimagining of how we measure, visualize, and interpret market dynamics through the lens of algebraic topology and quantum field theory. Best Practices Start with defaults: Parameters are optimized for broad market applicability Match timeframe: Adjust scales based on your trading timeframe Confirm with price action: TMS shows market character, not direction Respect topology changes: Reduce risk during regime transitions Use appropriate strategies: Adapt approach based on current topology state Monitor persistence: Track how long topology states maintain Cross-timeframe analysis: Align multiple timeframes for highest probability trades Alerts Available Extreme Topological Stress: Market fabric under severe deformation Topological Collapse Detected: Regime shift in progress Topological Hole Forming: Market structure breakdown detected Topology Stabilizing: Market structure recovering to normal Chart Requirements Recommended Markets: All liquid markets (forex, stocks, crypto, futures) Optimal Timeframes: 5m to Daily (adaptable to any timeframe) Minimum History: 200 bars for proper topology construction Best Performance: Markets with clear regime characteristics Academic Foundation This indicator draws from cutting-edge research in: - Algebraic topology and persistent homology - Quantum field theory visualization techniques - Market microstructure analysis - Multi-scale dynamical systems theory - Correlation topology and network analysis Disclaimer This indicator is for educational and research purposes only. It does not constitute financial advice or provide direct buy/sell signals. Topological analysis reveals market structure characteristics, not future price direction. Always use proper risk management and combine with your own analysis. Past performance does not guarantee future results. See markets through the lens of topology. Trade the structure, not the noise. Bringing advanced mathematics to practical trading through quantum-inspired visualization. Trade with insight. Trade with structure. — Dskyz , for DAFE Trading Systems
Indicatore Pine Script®
di DskyzInvestments
4
Information Asymmetry Gradient (IAG) What is the Information Asymmetry Gradient (IAG)? The Information Asymmetry Gradient (IAG) is a unique market regime and imbalance detector that quantifies the subtle, directional “information flow” in price and volume. Inspired by information theory and market microstructure, IAG is designed to help traders spot the early buildup of conviction or surprise—the kind of hidden imbalance that often precedes major price moves. Unlike traditional volume or momentum indicators, IAG focuses on the efficiency and directionality of information transfer: how much “informational energy” is being revealed by up-moves versus down-moves, normalized by price movement. It’s not just about net flow, but about the quality and asymmetry of that flow. Theoretical Foundation Information Asymmetry: Markets move when new information is revealed. If one side (buyers or sellers) is consistently more “informationally efficient” per unit of price change, an imbalance is building—even if price hasn’t moved much yet. Gradient: By tracking the rate of change (gradient) between fast and slow information flows, IAG highlights when a subtle imbalance is accelerating. Volatility of Asymmetry: Sudden spikes in the volatility of information asymmetry often signal regime uncertainty or the approach of a “surprise” move. How IAG Works Directional Information Content: For each bar, IAG estimates the “information per unit of price change” for both up-moves and down-moves, using volume and price action. Asymmetry Calculation: Computes the difference (or ratio) between up and down information content, revealing directional bias. Gradient Detection: Calculates both a fast and slow EMA of the asymmetry, then measures their difference (the “gradient”), normalized as a Z-score. Volatility of Asymmetry: Tracks the standard deviation of asymmetry over a rolling window, with Z-score normalization to spot “information shocks.” Flow Strength: Quantifies the conviction of the current information flow on a 0–100 scale. Regime Detection: Flags “extreme” asymmetry, “building” flow, and “high volatility” states. Inputs: 🌌 Core Asymmetry Parameters Fast Information Period (short_len, default 8): EMA period for detecting immediate information flow changes. 5–8: Scalping (1–5min) 8–12: Day trading (15min–1hr) 12–20: Swing trading (4hr+) Slow Information Period (long_len, default 34): EMA period for baseline information context. Should be 3–5x fast period. Default (34): Fibonacci number, stable for most assets. Gradient Smoothing (gradient_smooth, default 3): Smooths the gradient calculation. 1–2: Raw, responsive 3–5: Balanced 6–10: Very smooth 📊 Asymmetry Method Calculation Mode (calc_mode, default "Weighted"): “Simple”: Basic volume split by direction “Weighted”: Volume × price movement (default, most robust) “Logarithmic”: Log-scaled for large moves Use Ratio (show_ratio, default false): “Difference”: UpInfo – DownInfo (additive) “Ratio”: UpInfo / DownInfo (multiplicative, better for comparing volatility regimes) 🌊 Volatility Analysis Volatility Window (stdev_len, default 21): Lookback for measuring asymmetry volatility. Volatility Alert Level (vol_threshold, default 1.5): Z-score threshold for volatility alerts. 🎨 Visual Settings Color Theme (color_theme, default "Starry Night"): Van Gogh-inspired palettes: “Starry Night”: Deep blues and yellows “Sunflowers”: Warm yellows and browns “Café Terrace”: Night blues and warm lights “Wheat Field”: Golden and sky blue Show Swirl Effects (show_swirls, default true): Adds swirling background to visualize information turbulence. Show Signal Stars (show_stars, default true): Star markers at significant asymmetry points. Show Info Dashboard (show_dashboard, default true): Top-right panel with current metrics and market state. Show Flow Visualization (show_flow, default true): Main gradient line with artistic effects. Color Schemes Dynamic color gradients adapt to both the direction and intensity of the information gradient, using Van Gogh-inspired palettes for visual clarity and artistic flair. Glow and aura effects: The main line is layered with glows for depth and to highlight strong signals. Swirl background: Visualizes the “turbulence” of information flow, darker and more intense as flow strength and volatility rise. Visual Logic Main Gradient Line: Plots the normalized information gradient (Z-score), color-coded by direction and intensity. Glow/Aura: Multiple layers for visual depth and to highlight strong signals. Threshold Zones: Dotted lines and filled areas mark “Building” and “Extreme” asymmetry zones. Volatility Ribbon: Area plot of volatility Z-score, highlighting information shocks. Signal Stars: Circular markers at each “Extreme” event, color-coded for bullish/bearish; cross markers for volatility spikes. Dashboard: Top-right panel shows current status (Extreme, Building, High Volatility, Balanced), gradient value, flow strength, information balance, and volatility status. Trading Guide: Bottom-left panel explains all states and how to interpret them. How to Use IAG 🌟 EXTREME: Major information imbalance—potential for explosive move or reversal. 🌙 BUILDING: Asymmetry is forming—watch for a breakout or trend acceleration. 🌪️ HIGH VOLATILITY: Information flow is unstable—expect regime uncertainty or “surprise” moves. ☁️ BALANCED: No clear bias—market is in equilibrium. Positive Gradient: Bullish information flow (buyers have the edge). Negative Gradient: Bearish information flow (sellers have the edge). Flow >66%: Strong conviction—crowd is acting in unison. Volatility Spike: Regime uncertainty—be alert for sudden moves. Tips: - Use lower periods for scalping, higher for swing trading. - “Weighted” mode is most robust for most assets. - Combine with price action or your own system for confirmation. - Works on all assets and timeframes—tune to your style. Alerts IAG Extreme Asymmetry: Extreme information asymmetry detected. IAG Building Flow: Information flow building. IAG High Volatility: Information volatility spike. IAG Bullish/Bearish Extreme: Directional extreme detected. Originality & Usefulness IAG is not a mashup of existing indicators. It is a novel approach to quantifying the “surprise” or “conviction” element in market moves, focusing on the efficiency and directionality of information transfer per unit of price change. The multi-layered color logic, artistic visual effects, and regime dashboard are unique to this script. IAG is designed for anticipation, not confirmation—helping you see subtle imbalances before they become obvious in price. Chart Info Script Name: Information Asymmetry Gradient (IAG) – Starry Night Recommended Use: Any asset, any timeframe. Tune parameters to your style. Disclaimer This script is for research and educational purposes only. It does not provide financial advice or direct buy/sell signals. Always use proper risk management and combine with your own strategy. Past performance is not indicative of future results. Trade with insight. Trade with anticipation. — Dskyz , for DAFE Trading Systems
Indicatore Pine Script®
di DskyzInvestments
3
Bear Market Probability Model# Bear Market Probability Model: A Multi-Factor Risk Assessment Framework The Bear Market Probability Model represents a comprehensive quantitative framework for assessing systemic market risk through the integration of 13 distinct risk factors across four analytical categories: macroeconomic indicators, technical analysis factors, market sentiment measures, and market breadth metrics. This indicator synthesizes established financial research methodologies to provide real-time probabilistic assessments of impending bear market conditions, offering institutional-grade risk management capabilities to retail and professional traders alike. ## Theoretical Foundation ### Historical Context of Bear Market Prediction Bear market prediction has been a central focus of financial research since the seminal work of Dow (1901) and the subsequent development of technical analysis theory. The challenge of predicting market downturns gained renewed academic attention following the market crashes of 1929, 1987, 2000, and 2008, leading to the development of sophisticated multi-factor models. Fama and French (1989) demonstrated that certain financial variables possess predictive power for stock returns, particularly during market stress periods. Their three-factor model laid the groundwork for multi-dimensional risk assessment, which this indicator extends through the incorporation of real-time market microstructure data. ### Methodological Framework The model employs a weighted composite scoring methodology based on the theoretical framework established by Campbell and Shiller (1998) for market valuation assessment, extended through the incorporation of high-frequency sentiment and technical indicators as proposed by Baker and Wurgler (2006) in their seminal work on investor sentiment. The mathematical foundation follows the general form: Bear Market Probability = Σ(Wi × Ci) / ΣWi × 100 Where: - Wi = Category weight (i = 1,2,3,4) - Ci = Normalized category score - Categories: Macroeconomic, Technical, Sentiment, Breadth ## Component Analysis ### 1. Macroeconomic Risk Factors #### Yield Curve Analysis The inclusion of yield curve inversion as a primary predictor follows extensive research by Estrella and Mishkin (1998), who demonstrated that the term spread between 3-month and 10-year Treasury securities has historically preceded all major recessions since 1969. The model incorporates both the 2Y-10Y and 3M-10Y spreads to capture different aspects of monetary policy expectations. Implementation: - 2Y-10Y Spread: Captures market expectations of monetary policy trajectory - 3M-10Y Spread: Traditional recession predictor with 12-18 month lead time Scientific Basis: Harvey (1988) and subsequent research by Ang, Piazzesi, and Wei (2006) established the theoretical foundation linking yield curve inversions to economic contractions through the expectations hypothesis of the term structure. #### Credit Risk Premium Assessment High-yield credit spreads serve as a real-time gauge of systemic risk, following the methodology established by Gilchrist and Zakrajšek (2012) in their excess bond premium research. The model incorporates the ICE BofA High Yield Master II Option-Adjusted Spread as a proxy for credit market stress. Threshold Calibration: - Normal conditions: < 350 basis points - Elevated risk: 350-500 basis points - Severe stress: > 500 basis points #### Currency and Commodity Stress Indicators The US Dollar Index (DXY) momentum serves as a risk-off indicator, while the Gold-to-Oil ratio captures commodity market stress dynamics. This approach follows the methodology of Akram (2009) and Beckmann, Berger, and Czudaj (2015) in analyzing commodity-currency relationships during market stress. ### 2. Technical Analysis Factors #### Multi-Timeframe Moving Average Analysis The technical component incorporates the well-established moving average convergence methodology, drawing from the work of Brock, Lakonishok, and LeBaron (1992), who provided empirical evidence for the profitability of technical trading rules. Implementation: - Price relative to 50-day and 200-day simple moving averages - Moving average convergence/divergence analysis - Multi-timeframe MACD assessment (daily and weekly) #### Momentum and Volatility Analysis The model integrates Relative Strength Index (RSI) analysis following Wilder's (1978) original methodology, combined with maximum drawdown analysis based on the work of Magdon-Ismail and Atiya (2004) on optimal drawdown measurement. ### 3. Market Sentiment Factors #### Volatility Index Analysis The VIX component follows the established research of Whaley (2009) and subsequent work by Bekaert and Hoerova (2014) on VIX as a predictor of market stress. The model incorporates both absolute VIX levels and relative VIX spikes compared to the 20-day moving average. Calibration: - Low volatility: VIX < 20 - Elevated concern: VIX 20-25 - High fear: VIX > 25 - Panic conditions: VIX > 30 #### Put-Call Ratio Analysis Options flow analysis through put-call ratios provides insight into sophisticated investor positioning, following the methodology established by Pan and Poteshman (2006) in their analysis of informed trading in options markets. ### 4. Market Breadth Factors #### Advance-Decline Analysis Market breadth assessment follows the classic work of Fosback (1976) and subsequent research by Brown and Cliff (2004) on market breadth as a predictor of future returns. Components: - Daily advance-decline ratio - Advance-decline line momentum - McClellan Oscillator (Ema19 - Ema39 of A-D difference) #### New Highs-New Lows Analysis The new highs-new lows ratio serves as a market leadership indicator, based on the research of Zweig (1986) and validated in academic literature by Zarowin (1990). ## Dynamic Threshold Methodology The model incorporates adaptive thresholds based on rolling volatility and trend analysis, following the methodology established by Pagan and Sossounov (2003) for business cycle dating. This approach allows the model to adjust sensitivity based on prevailing market conditions. Dynamic Threshold Calculation: - Warning Level: Base threshold ± (Volatility × 1.0) - Danger Level: Base threshold ± (Volatility × 1.5) - Bounds: ±10-20 points from base threshold ## Professional Implementation ### Institutional Usage Patterns Professional risk managers typically employ multi-factor bear market models in several contexts: #### 1. Portfolio Risk Management - Tactical Asset Allocation: Reducing equity exposure when probability exceeds 60-70% - Hedging Strategies: Implementing protective puts or VIX calls when warning thresholds are breached - Sector Rotation: Shifting from growth to defensive sectors during elevated risk periods #### 2. Risk Budgeting - Value-at-Risk Adjustment: Incorporating bear market probability into VaR calculations - Stress Testing: Using probability levels to calibrate stress test scenarios - Capital Requirements: Adjusting regulatory capital based on systemic risk assessment #### 3. Client Communication - Risk Reporting: Quantifying market risk for client presentations - Investment Committee Decisions: Providing objective risk metrics for strategic decisions - Performance Attribution: Explaining defensive positioning during market stress ### Implementation Framework Professional traders typically implement such models through: #### Signal Hierarchy: 1. Probability < 30%: Normal risk positioning 2. Probability 30-50%: Increased hedging, reduced leverage 3. Probability 50-70%: Defensive positioning, cash building 4. Probability > 70%: Maximum defensive posture, short exposure consideration #### Risk Management Integration: - Position Sizing: Inverse relationship between probability and position size - Stop-Loss Adjustment: Tighter stops during elevated risk periods - Correlation Monitoring: Increased attention to cross-asset correlations ## Strengths and Advantages ### 1. Comprehensive Coverage The model's primary strength lies in its multi-dimensional approach, avoiding the single-factor bias that has historically plagued market timing models. By incorporating macroeconomic, technical, sentiment, and breadth factors, the model provides robust risk assessment across different market regimes. ### 2. Dynamic Adaptability The adaptive threshold mechanism allows the model to adjust sensitivity based on prevailing volatility conditions, reducing false signals during low-volatility periods and maintaining sensitivity during high-volatility regimes. ### 3. Real-Time Processing Unlike traditional academic models that rely on monthly or quarterly data, this indicator processes daily market data, providing timely risk assessment for active portfolio management. ### 4. Transparency and Interpretability The component-based structure allows users to understand which factors are driving risk assessment, enabling informed decision-making about model signals. ### 5. Historical Validation Each component has been validated in academic literature, providing theoretical foundation for the model's predictive power. ## Limitations and Weaknesses ### 1. Data Dependencies The model's effectiveness depends heavily on the availability and quality of real-time economic data. Federal Reserve Economic Data (FRED) updates may have lags that could impact model responsiveness during rapidly evolving market conditions. ### 2. Regime Change Sensitivity Like most quantitative models, the indicator may struggle during unprecedented market conditions or structural regime changes where historical relationships break down (Taleb, 2007). ### 3. False Signal Risk Multi-factor models inherently face the challenge of balancing sensitivity with specificity. The model may generate false positive signals during normal market volatility periods. ### 4. Currency and Geographic Bias The model focuses primarily on US market indicators, potentially limiting its effectiveness for global portfolio management or non-USD denominated assets. ### 5. Correlation Breakdown During extreme market stress, correlations between risk factors may increase dramatically, reducing the model's diversification benefits (Forbes and Rigobon, 2002). ## References Akram, Q. F. (2009). Commodity prices, interest rates and the dollar. Energy Economics, 31(6), 838-851. Ang, A., Piazzesi, M., & Wei, M. (2006). What does the yield curve tell us about GDP growth? Journal of Econometrics, 131(1-2), 359-403. Baker, M., & Wurgler, J. (2006). Investor sentiment and the cross‐section of stock returns. The Journal of Finance, 61(4), 1645-1680. Baker, S. R., Bloom, N., & Davis, S. J. (2016). Measuring economic policy uncertainty. The Quarterly Journal of Economics, 131(4), 1593-1636. Barber, B. M., & Odean, T. (2001). Boys will be boys: Gender, overconfidence, and common stock investment. The Quarterly Journal of Economics, 116(1), 261-292. Beckmann, J., Berger, T., & Czudaj, R. (2015). Does gold act as a hedge or a safe haven for stocks? A smooth transition approach. Economic Modelling, 48, 16-24. Bekaert, G., & Hoerova, M. (2014). The VIX, the variance premium and stock market volatility. Journal of Econometrics, 183(2), 181-192. Brock, W., Lakonishok, J., & LeBaron, B. (1992). Simple technical trading rules and the stochastic properties of stock returns. The Journal of Finance, 47(5), 1731-1764. Brown, G. W., & Cliff, M. T. (2004). Investor sentiment and the near-term stock market. Journal of Empirical Finance, 11(1), 1-27. Campbell, J. Y., & Shiller, R. J. (1998). Valuation ratios and the long-run stock market outlook. The Journal of Portfolio Management, 24(2), 11-26. Dow, C. H. (1901). Scientific stock speculation. The Magazine of Wall Street. Estrella, A., & Mishkin, F. S. (1998). Predicting US recessions: Financial variables as leading indicators. Review of Economics and Statistics, 80(1), 45-61. Fama, E. F., & French, K. R. (1989). Business conditions and expected returns on stocks and bonds. Journal of Financial Economics, 25(1), 23-49. Forbes, K. J., & Rigobon, R. (2002). No contagion, only interdependence: measuring stock market comovements. The Journal of Finance, 57(5), 2223-2261. Fosback, N. G. (1976). Stock market logic: A sophisticated approach to profits on Wall Street. The Institute for Econometric Research. Gilchrist, S., & Zakrajšek, E. (2012). Credit spreads and business cycle fluctuations. American Economic Review, 102(4), 1692-1720. Harvey, C. R. (1988). The real term structure and consumption growth. Journal of Financial Economics, 22(2), 305-333. Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263-291. Magdon-Ismail, M., & Atiya, A. F. (2004). Maximum drawdown. Risk, 17(10), 99-102. Nickerson, R. S. (1998). Confirmation bias: A ubiquitous phenomenon in many guises. Review of General Psychology, 2(2), 175-220. Pagan, A. R., & Sossounov, K. A. (2003). A simple framework for analysing bull and bear markets. Journal of Applied Econometrics, 18(1), 23-46. Pan, J., & Poteshman, A. M. (2006). The information in option volume for future stock prices. The Review of Financial Studies, 19(3), 871-908. Taleb, N. N. (2007). The black swan: The impact of the highly improbable. Random House. Whaley, R. E. (2009). Understanding the VIX. The Journal of Portfolio Management, 35(3), 98-105. Wilder, J. W. (1978). New concepts in technical trading systems. Trend Research. Zarowin, P. (1990). Size, seasonality, and stock market overreaction. Journal of Financial and Quantitative Analysis, 25(1), 113-125. Zweig, M. E. (1986). Winning on Wall Street. Warner Books.
Indicatore Pine Script®
di EdgeTools
17
Normalized DXY+Custom USD Index (DXY+) – Normalized Dollar Strength with Bitcoin, Gold, and Yuan. This custom USD strength index replicates the structure of the official U.S. Dollar Index (DXY), while expanding it to include modern financial assets such as Bitcoin (BTC), Ethereum (ETH), gold (XAU), and the Chinese yuan (CNY). Weights for the core fiat currencies (EUR, JPY, GBP, CAD, SEK, CHF) follow the official ICE DXY methodology. Additional components are weighted proportionally based on their estimated global economic influence. The index is normalized from its initial valid data point, meaning it starts at 100 on the first day all asset inputs are available. From that point forward, it tracks the relative strength of the U.S. dollar against this expanded basket. This provides a more comprehensive and modernized view of the dollar's strength—not only against traditional fiat currencies, but also in the context of rising decentralized assets and non-Western trade power.
Indicatore Pine Script®
di travisreeee
Custom USD IndexThis is a modernized, expanded version of the U.S. Dollar Index (DXY), designed to provide a more accurate representation of the dollar’s global strength in today’s diversified economy. Unlike the traditional DXY, which excludes major players like China and entirely omits real-world stores of value, this custom index (DXY+) includes: Fiat Currencies (78.3% total weight): EUR, JPY, GBP, CAD, AUD, CHF, and CNY — equally weighted to reflect the global currency landscape. Gold (17.5%): Gold (XAUUSD) is included as a traditional reserve asset and inflation hedge, acknowledging its continued monetary relevance. Cryptocurrencies (2.8% total weight): Bitcoin (BTC) and Ethereum (ETH) represent the emerging digital monetary layer. The index rises when the U.S. dollar strengthens relative to this blended basket, and falls when the dollar weakens against it. This is ideal for traders, economists, and macro analysts seeking a more inclusive and up-to-date measure of dollar performance.
Indicatore Pine Script®
di travisreeee
Adaptive Multi-TF Indicator Table with Presets giua64📌 Script Name: Adaptive Multi-Timeframe Indicator Table with Presets — giua64 📄 Description: This script displays an adaptive multi-timeframe dashboard that summarizes the signals of three key technical indicators: Moving Averages (MAs), Relative Strength Index (RSI), and MACD. It provides a fast and visually intuitive overview of market conditions across five timeframes (5m, 15m, 30m, 1h, 4h), helping traders quickly identify potential directional biases (e.g., bullish, bearish, or neutral) based on either predefined presets or fully manual settings. 🧰 Preset Configurations: You can choose between four trading styles, each with optimized indicator parameters: Scalping • MAs: 5 / 10 (Fast), 20 / 50 (Slow) • RSI: 7 periods | Overbought: 70 | Oversold: 30 • MACD: 5 / 13 | Signal: 3 Intraday • MAs: 9 / 21 (Fast), 50 / 100 (Slow) • RSI: 14 periods | Overbought: 60 | Oversold: 40 • MACD: 12 / 26 | Signal: 9 Swing • MAs: 10 / 20 (Fast), 50 / 200 (Slow) • RSI: 14 periods | Overbought: 65 | Oversold: 35 • MACD: 12 / 26 | Signal: 9 Manual • Full custom control over all indicator settings. 🛠️ All settings can be customized manually from the options panel, including the exact MA periods, RSI thresholds, and MACD structure. 🧠 How It Works: For each timeframe, the script evaluates: MA crossover status (two levels): The first symbol refers to the crossover of the fast MAs The second symbol refers to the crossover of the slow MAs 🟢 = Bullish crossover 🔴 = Bearish crossover ➖ = Flat or no clear signal RSI Direction: ↑ = RSI above upper threshold (potential overbought) ↓ = RSI below lower threshold (potential oversold) → = RSI in neutral range MACD Line vs Signal Line: ↑ = MACD line is above signal line (bullish) ↓ = MACD line is below signal line (bearish) → = Flat or neutral signal Each signal is assigned a numerical score. These are aggregated per timeframe to compute a combined score that reflects the directional bias for that specific time window. 🧠 Adaptive Logic by Asset: This script is designed to be universally compatible across all asset types — including forex, crypto, stocks, indices, and commodities. Thanks to its multi-timeframe nature and flexible indicator presets, the script automatically adjusts its behavior based on the asset selected, ensuring relevant analysis without requiring manual recalibration. 🧾 Summary Table Output: At the bottom of the dashboard, a combined sentiment is displayed for: 3TF → 5m, 15m, 30m 4TF → Adds 1h 5TF → Adds 4h Each row shows: Signal → LONG / SHORT / NEUTRAL Confidence (%) → Based on score aggregation and signal consistency 📌 Customization Options: Table Position: Left, Right, or Center Text Size: Small, Normal, or Large Full Manual Configuration: All MA, RSI, and MACD parameters can be adjusted as needed ⚠️ Disclaimer: This script is for educational and analytical purposes only. It does not constitute financial advice or guarantee any trading results. Always do your own research and apply responsible risk management.
Indicatore Pine Script®
di giua64
4
YB Academy SNRThe YB Academy SNR indicator is a complete swing-based Support & Resistance mapping tool with powerful built-in entry/exit signals. Designed for traders who want to identify high-probability reaction zones and get real-time alerts for the best buy and sell opportunities, this script helps you trade with structure, confidence, and discipline—on any time frame. How It Works 1. Automatic Support & Resistance Detection The indicator automatically scans for major swing highs and swing lows on your chart using a sensitivity parameter. Every time a new swing high/low forms, a horizontal SNR line is drawn at that price level. Both support and resistance lines automatically extend to the right of your chart, providing a persistent map of key levels for future entries and exits. You can control how many recent zones are shown (max_snrs), keeping your chart clean and focused. 2. Smart Buy/Sell Signal Generation Buy signals (“YB Buy”): Trigger when price touches or bounces off a support line, with trend/momentum/freshness filters: Price is above the EMA50 (trend filter) MACD is bullish (momentum) RSI confirms no overbought Sell signals (“YB Sell”): Trigger when price hits resistance, with strict confirmation: Price is below EMA50 MACD is bearish RSI not oversold Both signals are shown as clear up/down triangle arrows directly on your chart. 3. Powerful Alerts Never miss a trade: Real-time alerts fire as soon as a valid buy or sell condition appears. Use with TradingView app, web, or SMS for 24/7 notification—no chart-watching needed. 4. Fully Customizable Change sensitivity for tighter/looser SNR mapping. Control the look and feel: colors for SNR, signals, number of zones, extension distance. Works on any market: gold, forex, indices, crypto, stocks. 5. Clean Visuals, Zero Clutter SNR lines are automatically managed—older zones are removed as new ones appear. Only the latest/best buy/sell signals are shown, so you can act quickly and decisively. Perfect For: Scalpers, Day Traders, Swing Traders Anyone who wants to trade using clean price action levels, NOT lagging indicators Traders looking for rule-based, mechanical entries and exits What Makes This Unique? Precision: Uses swing structure, not arbitrary pivots or moving averages, for SNR. Multi-Filter Entries: Combines trend, momentum, and overbought/oversold logic for high-probability signals. Alerts & Automation: Built-in, with no need for manual chart watching. Simple to Use: Add to any TradingView chart, adjust settings, and go. Upgrade your trading with the YB Academy SNR! Get alerted to the real opportunities—right at the key price zones, with all the discipline of a professional.
Indicatore Pine Script®
di YBpips
1
Chandelier Exit + EMA Filtered SignalsThis script is a powerful upgrade to the original Chandelier Exit by Alex Orekhov (everget), combining trend-following logic with higher-quality trade filtering. ✅ Key Features: Chandelier Exit logic with ATR-based stop levels Buy/Sell signals only when trend is confirmed: Buy: Price must be above EMA 13, 50, and 200 Sell: Price must be below EMA 13, 50, and 200 Candle highlighting: Green for Buy, Red for Sell Signal labels for visual clarity Toggle to show/hide EMAs Built-in alerts for: Buy signal Sell signal Trend direction change 🛠️ Inputs: ATR Period and Multiplier Toggle: Use Close Price for High/Low Calculation Toggle: Show/Hide Labels and State Highlight Toggle: Show/Hide EMA 13, 50, 200 Toggle: Await confirmed bar for alerts 🔔 Alerts Included: Chandelier Exit Buy Chandelier Exit Sell Direction Change (long to short or vice versa) 💡 How to Use: Use on trending assets (e.g., Gold, Indices, Crypto). Combine with support/resistance or session filters for optimal results. Enable alerts to be notified on trade setups. 📢 Credits: Based on the original Chandelier Exit script by everget. Enhancements by AP Capital for filtered signals and better visual feedback.
Indicatore Pine Script®
di APCapitalTrading
Enhanced Volume Trend Indicator with BB SqueezeEnhanced Volume Trend Indicator with BB Squeeze: Comprehensive Explanation The visualization system allows traders to quickly scan multiple securities to identify high-probability setups without detailed analysis of each chart. The progression from squeeze to breakout, supported by volume trend confirmation, offers a systematic approach to identifying trading opportunities. The script combines multiple technical analysis approaches into a comprehensive dashboard that helps traders make informed decisions by identifying high-probability setups while filtering out noise through its sophisticated confirmation requirements. It combines multiple technical analysis approaches into an integrated visual system that helps traders identify potential trading opportunities while filtering out false signals. Core Features 1. Volume Analysis Dashboard The indicator displays various volume-related metrics in customizable tables: AVOL (After Hours + Pre-Market Volume): Shows extended hours volume as a percentage of the 21-day average volume with color coding for buying/selling pressure. Green indicates buying pressure and red indicates selling pressure. Volume Metrics: Includes regular volume (VOL), dollar volume ($VOL), relative volume compared to 21-day average (RVOL), and relative volume compared to 90-day average (RVOL90D). Pre-Market Data: Optional display of pre-market volume (PVOL), pre-market dollar volume (P$VOL), pre-market relative volume (PRVOL), and pre-market price change percentage (PCHG%). 2. Enhanced Volume Trend (VTR) Analysis The Volume Trend indicator uses adaptive analysis to evaluate buying and selling pressure, combining multiple factors: MACD (Moving Average Convergence Divergence) components Volume-to-SMA (Simple Moving Average) ratio Price direction and market conditions Volume change rates and momentum EMA (Exponential Moving Average) alignment and crossovers Volatility filtering VTR Visual Indicators The VTR score ranges from 0-100, with values above 50 indicating bullish conditions and below 50 indicating bearish conditions. This is visually represented by colored circles: "●" (Filled Circle): Green: Strong bullish trend (VTR ≥ 80) Red: Strong bearish trend (VTR ≤ 20) "◯" (Hollow Circle): Green: Moderate bullish trend (VTR 65-79) Red: Moderate bearish trend (VTR 21-35) "·" (Small Dot): Green: Weak bullish trend (VTR 55-64) Red: Weak bearish trend (VTR 36-45) "○" (Medium Hollow Circle): Neutral conditions (VTR 46-54), shown in gray In "Both" display mode, the VTR shows both the numerical score (0-100) alongside the appropriate circle symbol. Enhanced VTR Settings The Enhanced Volume Trend component offers several advanced customization options: Adaptive Volume Analysis (volTrendAdaptive): When enabled, dynamically adjusts volume thresholds based on recent market volatility Higher volatility periods require proportionally higher volume to generate significant signals Helps prevent false signals during highly volatile markets Keep enabled for most trading conditions, especially in volatile markets Speed of Change Weight (volTrendSpeedWeight, range 0-1): Controls emphasis on volume acceleration/deceleration rather than absolute levels Higher values (0.7-1.0): More responsive to new volume trends, better for momentum trading Lower values (0.2-0.5): Less responsive, better for trend following Helps identify early volume trends before they fully develop Momentum Period (volTrendMomentumPeriod, range 2-10): Defines lookback period for volume change rate calculations Lower values (2-3): More responsive to recent changes, better for short timeframes Higher values (7-10): Smoother, better for daily/weekly charts Directly affects how quickly the indicator responds to new volume patterns Volatility Filter (volTrendVolatilityFilter): Adjusts significance of volume by factoring in current price volatility High volume during high volatility receives less weight High volume during low volatility receives more weight Helps distinguish between genuine volume-driven moves and volatility-driven moves EMA Alignment Weight (volTrendEmaWeight, range 0-1): Controls importance of EMA alignments in final VTR calculation Analyzes multiple EMA relationships (5, 10, 21 period) Higher values (0.7-1.0): Greater emphasis on trend structure Lower values (0.2-0.5): More focus on pure volume patterns Display Mode (volTrendDisplayMode): "Value": Shows only numerical score (0-100) "Strength": Shows only symbolic representation "Both": Shows numerical score and symbol together 3. Bollinger Band Squeeze Detection (SQZ) The BB Squeeze indicator identifies periods of low volatility when Bollinger Bands contract inside Keltner Channels, often preceding significant price movements. SQZ Visual Indicators "●" (Filled Circle): Strong squeeze - high probability setup for an impending breakout Green: Strong squeeze with bullish bias (likely upward breakout) Red: Strong squeeze with bearish bias (likely downward breakout) Orange: Strong squeeze with unclear direction "◯" (Hollow Circle): Moderate squeeze - medium probability setup Green: With bullish EMA alignment Red: With bearish EMA alignment Orange: Without clear directional bias "-" (Dash): Gray dash indicates no squeeze condition (normal volatility) The script identifies squeeze conditions through multiple methods: Bollinger Bands contracting inside Keltner Channels BB width falling to bottom 20% of recent range (BB width percentile) Very narrow Keltner Channel (less than 5% of basis price) Tracking squeeze duration in consecutive bars Different squeeze strengths are detected: Strong Squeeze: BB inside KC with tight BB width and narrow KC Moderate Squeeze: BB inside KC with either tight BB width or narrow KC No Squeeze: Normal market conditions 4. Breakout Detection System The script includes two breakout indicators working in sequence: 4.1 Pre-Breakout (PBK) Indicator Detects potential upcoming breakouts by analyzing multiple factors: Squeeze conditions lasting 2-3 bars or more Significant price ranges Strong volume confirmation EMA/MACD crossovers Consistent price direction PBK Visual Indicators "●" (Filled Circle): Detected pre-breakout condition Green: Likely upward breakout (bullish) Red: Likely downward breakout (bearish) Orange: Direction not yet clear, but breakout likely "-" (Dash): Gray dash indicates no pre-breakout condition The PBK uses sophisticated conditions to reduce false signals including minimum squeeze length, significant price movement, and technical confirmations. 4.2 Breakout (BK) Indicator Confirms actual breakouts in progress by identifying: End of squeeze or strong expansion of Bollinger Bands Volume expansion Price moving outside Bollinger Bands EMA crossovers with volume confirmation MACD crossovers with significant price range BK Visual Indicators "●" (Filled Circle): Confirmed breakout in progress Green: Upward breakout (bullish) Red: Downward breakout (bearish) Orange: Unusual breakout pattern without clear direction "◆" (Diamond): Special breakout conditions (meets some but not all criteria) "-" (Dash): Gray dash indicates no breakout detected The BK indicator uses advanced filters for confirmation: Requires consecutive breakout signals to reduce false positives Strong volume confirmation requirements (40% above average) Significant price movement thresholds Consistency checks between price action and indicators 5. Market Metrics and Analysis Price Change Percentage (CHG%) Displays the current percentage change relative to the previous day's close, color-coded green for positive changes and red for negative changes. Average Daily Range (ADR%) Calculates the average daily percentage range over a specified period (default 20 days), helping traders gauge volatility and set appropriate price targets. Average True Range (ATR) Shows the Average True Range value, a volatility indicator developed by J. Welles Wilder that measures market volatility by decomposing the entire range of an asset price for that period. Relative Strength Index (RSI) Displays the standard 14-period RSI, a momentum oscillator that measures the speed and change of price movements on a scale from 0 to 100. 6. External Market Indicators QQQ Change Shows the percentage change in the Invesco QQQ Trust (tracking the Nasdaq-100 Index), useful for understanding broader tech market trends. UVIX Change Displays the percentage change in UVIX, a volatility index, providing insight into market fear and potential hedging activity. BTC-USD Shows the current Bitcoin price from Coinbase, useful for traders monitoring crypto correlation with equities. Market Breadth (BRD) Calculates the percentage difference between ATHI.US and ATLO.US (high vs. low securities), indicating overall market direction and strength. 7. Session Analysis and Volume Direction Session Detection The script accurately identifies different market sessions: Pre-market: 4:00 AM to 9:30 AM Regular market: 9:30 AM to 4:00 PM After-hours: 4:00 PM to 8:00 PM Closed: Outside trading hours This detection works on any timeframe through careful calculation of current time in seconds. Buy/Sell Volume Direction The script analyzes buying and selling pressure by: Counting up volume when close > open Counting down volume when close < open Tracking accumulated volume within the day Calculating intraday pressure (up volume minus down volume) Enhanced AVOL Calculation The improved AVOL calculation works in all timeframes by: Estimating typical pre-market and after-hours volume percentages Combining yesterday's after-hours with today's pre-market volume Calculating this as a percentage of the 21-day average volume Determining buying/selling pressure by analyzing after-hours and pre-market price changes Color-coding results: green for buying pressure, red for selling pressure This calculation is particularly valuable because it works consistently across any timeframe. Customization Options Display Settings The dashboard has two customizable tables: Volume Table and Metrics Table, with positions selectable as bottom_left or bottom_right. All metrics can be individually toggled on/off: Pre-market data (PVOL, P$VOL, PRVOL, PCHG%) Volume data (AVOL, RVOL Day, RVOL 90D, Volume, SEED_YASHALGO_NSE_BREADTH:VOLUME ) Price metrics (ADR%, ATR, RSI, Price Change%) Market indicators (QQQ, UVIX, Breadth, BTC-USD) Analysis indicators (Volume Trend, BB Squeeze, Pre-Breakout, Breakout) These toggle options allow traders to customize the dashboard to show only the metrics they find most valuable for their trading style. Table and Text Customization The dashboard's appearance can be customized: Table background color via tableBgColor Text color (White or Black) via textColorOption The indicator uses smart formatting for volume and price values, automatically adding appropriate suffixes (K, M, B) for readability. MACD Configuration for VTR The Volume Trend calculation incorporates MACD with customizable parameters: Fast Length: Controls the period for the fast EMA (default 3) Slow Length: Controls the period for the slow EMA (default 9) Signal Length: Controls the period for the signal line EMA (default 5) MACD Weight: Controls how much influence MACD has on the volume trend score (default 0.3) These settings allow traders to fine-tune how momentum is factored into the volume trend analysis. Bollinger Bands and Keltner Channel Settings The Bollinger Bands and Keltner Channels used for squeeze detection have preset (hidden) parameters: BB Length: 20 periods BB Multiplier: 2.0 standard deviations Keltner Length: 20 periods Keltner Multiplier: 1.5 ATR These settings follow standard practice for squeeze detection while maintaining simplicity in the user interface. Practical Trading Applications Complete Trading Strategies 1. Squeeze Breakout Strategy This strategy combines multiple components of the indicator: Wait for a strong squeeze (SQZ showing ●) Look for pre-breakout confirmation (PBK showing ● in green or red) Enter when breakout is confirmed (BK showing ● in same direction) Use VTR to confirm volume supports the move (VTR ≥ 65 for bullish or ≤ 35 for bearish) Set profit targets based on ADR (Average Daily Range) Exit when VTR begins to weaken or changes direction 2. Volume Divergence Strategy This strategy focuses on the volume trend relative to price: Identify when price makes a new high but VTR fails to confirm (divergence) Look for VTR to show weakening trend (● changing to ◯ or ·) Prepare for potential reversal when SQZ begins to form Enter counter-trend position when PBK confirms reversal direction Use external indicators (QQQ, BTC, Breadth) to confirm broader market support 3. Pre-Market Edge Strategy This strategy leverages pre-market data: Monitor AVOL for unusual pre-market activity (significantly above 100%) Check pre-market price change direction (PCHG%) Enter position at market open if VTR confirms direction Use SQZ to determine if volatility is likely to expand Exit based on RVOL declining or price reaching +/- ADR for the day Market Context Integration The indicator provides valuable context for trading decisions: QQQ change shows tech market direction BTC price shows crypto market correlation UVIX change indicates volatility expectations Breadth measurement shows market internals This context helps traders avoid fighting the broader market and align trades with overall market direction. Timeframe Optimization The indicator is designed to work across different timeframes: For day trading: Focus on AVOL, VTR, PBK/BK, and use shorter momentum periods For swing trading: Focus on SQZ duration, VTR strength, and broader market indicators For position trading: Focus on larger VTR trends and use EMA alignment weight Advanced Analytical Components Enhanced Volume Trend Score Calculation The VTR score calculation is sophisticated, with the base score starting at 50 and adjusting for: Price direction (up/down) Volume relative to average (high/normal/low) Volume acceleration/deceleration Market conditions (bull/bear) Additional factors are then applied, including: MACD influence weighted by strength and direction Volume change rate influence (speed) Price/volume divergence effects EMA alignment scores Volatility adjustments Breakout strength factors Price action confirmations The final score is clamped between 0-100, with values above 50 indicating bullish conditions and below 50 indicating bearish conditions. Anti-False Signal Filters The indicator employs multiple techniques to reduce false signals: Requiring significant price range (minimum percentage movement) Demanding strong volume confirmation (significantly above average) Checking for consistent direction across multiple indicators Requiring prior bar consistency (consecutive bars moving in same direction) Counting consecutive signals to filter out noise These filters help eliminate noise and focus on high-probability setups. MACD Enhancement and Integration The indicator enhances standard MACD analysis: Calculating MACD relative strength compared to recent history Normalizing MACD slope relative to volatility Detecting MACD acceleration for stronger signals Integrating MACD crossovers with other confirmation factors EMA Analysis System The indicator uses a comprehensive EMA analysis system: Calculating multiple EMAs (5, 10, 21 periods) Detecting golden cross (10 EMA crosses above 21 EMA) Detecting death cross (10 EMA crosses below 21 EMA) Assessing price position relative to EMAs Measuring EMA separation percentage Recent Enhancements and Evolution Version 5.2 includes several improvements: Enhanced AVOL to show buying/selling direction through color coding Improved VTR with adaptive analysis based on market conditions AVOL display now works in all timeframes through sophisticated estimation Removed animal symbols and streamlined code with bright colors for better visibility Improved anti-false signal filters throughout the system Optimizing Indicator Settings For Different Market Types Range-Bound Markets: Lower EMA Alignment Weight (0.2-0.4) Higher Speed of Change Weight (0.8-1.0) Focus on SQZ and PBK signals for breakout potential Trending Markets: Higher EMA Alignment Weight (0.7-1.0) Moderate Speed of Change Weight (0.4-0.6) Focus on VTR strength and BK confirmations Volatile Markets: Enable Volatility Filter Enable Adaptive Volume Analysis Lower Momentum Period (2-3) Focus on strong volume confirmation (VTR ≥ 80 or ≤ 20) For Different Asset Classes Equities: Standard settings work well Pay attention to AVOL for gap potential Monitor QQQ correlation Futures: Consider higher Volume/RVOL weight Reduce MACD weight slightly Pay close attention to SQZ duration Crypto: Higher volatility thresholds may be needed Monitor BTC price for correlation Focus on stronger confirmation signals Integrated Visual System for Trading Decisions The colored circle indicators create an intuitive visual system for quick market assessment: Progression Sequence: SQZ (Squeeze) → PBK (Pre-Breakout) → BK (Breakout) This sequence often occurs in order, with the squeeze leading to pre-breakout conditions, followed by an actual breakout. VTR (Volume Trend): Provides context about the volume supporting these movements. Color Coding: Green for bullish conditions, red for bearish conditions, and orange/gray for neutral or undefined conditions.
Indicatore Pine Script®
di tommyttcat
AP IFTCCIv2/IFTStoch/IFTRSI Multi-TimeframeMulti-Timeframe IFT-CCI/Stoch/RSI Composite This enhanced indicator combines three powerful oscillators—Inverse Fisher Transform (IFT) versions of the Commodity Channel Index (CCI), Stochastic, and Relative Strength Index (RSI)—into a unified multi-timeframe analysis tool. Originally developed by John Ehlers (pioneer of cyclical analysis and signal processing in trading systems) and adapted by KIVANC (@fr3762), this version adds dual-timeframe capability to compare indicator values across different chart resolutions. Key Features: Triple Oscillator Composite IFT-CCI: Smoothed CCI values transformed via Ehlers' Inverse Fisher Transform (blue-gold) IFT-Stochastic: Classic stochastic oscillator processed through IFT (blue) IFT-RSI: RSI oscillator converted to IFT format (magenta) Composite Average Line: Combined average of all three indicators (green) Multi-Timeframe Analysis Compare primary and secondary timeframes (e.g., 1H vs. 4H, daily vs. weekly) Primary timeframe plots use solid lines with 80% opacity Secondary timeframe (optional) uses dashed/circle markers with 40% opacity Key Levels Overbought (+0.75) and oversold (-0.75) reference lines Zero-centerline for momentum direction bias Applications: Trend Confirmation: Align higher timeframe signals with lower timeframe entries Divergence Detection: Spot inter-timeframe discrepancies in momentum Regime Filter: Use higher timeframe composite values to filter trades Technical Basis: Inverse Fisher Transform: Compresses oscillator values into bounded (-1 to +1) range while emphasizing extreme moves Dual WMA Smoothing: Combines initial calculation smoothing (WMA1) with final output smoothing (WMA2) Exponential Scaling: (e^2x - 1)/(e^2x + 1) formula converts Gaussian-like distributions to bounded outputs Credits: Original Concept: John Ehlers (IFT methodology, cyclical analysis foundations) Initial Implementation: KIVANC (@fr3762 on Twitter) for the base IFT-CCI/Stoch/RSI script Multi-Timeframe Adaptation: for cross-resolution analysis capabilities This tool is particularly effective for traders seeking to align multiple timeframes while using Ehlers' noise-reduction techniques. The composite average line provides a consensus view, while the individual oscillators help identify component strength/weakness.
Indicatore Pine Script®
di nuipai
Stochastic RSI with MTF TableShort Description of the Script The provided Pine Script indicator, titled "Stochastic RSI with MTF Table," calculates and displays the Stochastic RSI for the current timeframe and multiple other timeframes (5m, 15m, 30m, 60m, 240m, and daily). The Stochastic RSI is a momentum indicator that blends the Relative Strength Index (RSI) and Stochastic Oscillator to identify overbought and oversold conditions, as well as potential trend reversals via K and D line crossovers. Key features of the script include: Inputs: Customizable parameters such as K smoothing (default 3), D smoothing (default 3), RSI length (default 14), Stochastic length (default 14), source price (default close), and overbought/oversold levels (default 80/20). MTF Table: A table displays the Stochastic RSI status for each timeframe: "OB" (overbought) if K > 80, "OS" (oversold) if K < 20, or "N" (neutral) otherwise. Crossovers: "K↑D" for bullish (K crosses above D) and "K↓D" for bearish (K crosses below D). Visualization: Plots the K and D lines for the current timeframe, with horizontal lines at 80 (overbought), 50 (middle), and 20 (oversold), plus a background fill for clarity. Table Position: Configurable to appear in one of four chart corners (default: top-right). This indicator helps traders assess momentum across multiple timeframes simultaneously, aiding in the identification of trend strength and potential entry/exit points. Trading Strategy with 50EMA and 200EMA for Highest Winning Rate To create a strategy with the best probability of a high winning rate using the Stochastic RSI MTF indicator alongside the 50-period Exponential Moving Average (50EMA) and 200-period Exponential Moving Average (200EMA), we can combine trend identification with momentum-based entry timing. The 50EMA and 200EMA are widely used to determine medium- and long-term trends, while the Stochastic RSI MTF table provides multi-timeframe momentum signals. Here’s the strategy: 1. Determine the Overall Trend Bullish Trend: The 50EMA is above the 200EMA on the current timeframe (e.g., daily or 60m chart). This suggests an uptrend, often associated with a "Golden Cross." Bearish Trend: The 50EMA is below the 200EMA on the current timeframe. This indicates a downtrend, often linked to a "Death Cross." Implementation: Plot the 50EMA and 200EMA on your chart and visually confirm their relative positions. 2. Identify Entry Signals Using the Stochastic RSI MTF Table In a Bullish Trend (50EMA > 200EMA): Look for timeframes in the MTF table showing: Oversold (OS): K < 20, indicating a potential pullback in the uptrend where price may rebound. Bullish Crossover (K↑D): K crosses above D, signaling rising momentum and a potential entry point. Example: If the 60m and 240m timeframes show "OS" or "K↑D," this could be a buy signal. In a Bearish Trend (50EMA < 200EMA): Look for timeframes in the MTF table showing: Overbought (OB): K > 80, suggesting a rally in the downtrend where price may reverse downward. Bearish Crossover (K↓D): K crosses below D, indicating declining momentum and a potential short entry. Example: If the 30m and daily timeframes show "OB" or "K↓D," this could be a sell/short signal. Current Timeframe Check: Use the plotted K and D lines on your trading timeframe for precise entry timing (e.g., confirm a K↑D crossover on a 60m chart for a long trade). 3. Confirm Signals Across Multiple Timeframes Strengthen the Signal: A higher winning rate is more likely when multiple timeframes align with the trend and signal. For instance: Bullish trend + "OS" or "K↑D" on 60m, 240m, and daily = strong buy signal. Bearish trend + "OB" or "K↓D" on 15m, 60m, and 240m = strong sell signal. Prioritize Higher Timeframes: Signals from the 240m or daily timeframe carry more weight due to their indication of broader trends, increasing reliability. 4. Set Stop-Loss and Take-Profit Levels Long Trades (Bullish): Stop-Loss: Place below the most recent swing low or below the 50EMA, whichever is closer, to protect against trend reversals. Take-Profit: Target a key resistance level or use a risk-reward ratio (e.g., 2:1 or 3:1) based on the stop-loss distance. Short Trades (Bearish): Stop-Loss: Place above the most recent swing high or above the 50EMA, whichever is closer. Take-Profit: Target a key support level or apply a similar risk-reward ratio. Trailing Stop Option: As the trend progresses, trail the stop below the 50EMA (for longs) or above it (for shorts) to lock in profits. 5. Risk Management Position Sizing: Risk no more than 1-2% of your trading capital per trade to minimize losses from false signals. Volatility Consideration: Adjust stop-loss distances and position sizes based on the asset’s volatility (e.g., wider stops for volatile stocks or crypto). Avoid Overtrading: Wait for clear alignment between the EMA trend and MTF signals to avoid low-probability setups. Example Scenario Chart: 60-minute timeframe. Trend: 50EMA > 200EMA (bullish). MTF Table: 60m shows "OS," 240m shows "K↑D," and daily is "N." Action: Enter a long position when the 60m K line crosses above D, confirming the table signal. Stop-Loss: Below the recent 60m swing low (e.g., 2% below entry). Take-Profit: At the next resistance level or a 3:1 reward-to-risk ratio. Outcome: High probability of success due to trend alignment and multi-timeframe confirmation. Why This Strategy Works Trend Following: Trading in the direction of the 50EMA/200EMA trend reduces the risk of fighting the market’s momentum. Momentum Timing: The Stochastic RSI MTF table pinpoints pullbacks or reversals within the trend, improving entry timing. Multi-Timeframe Confirmation: Alignment across timeframes filters out noise, increasing the win rate. Risk Control: Defined stop-loss and position sizing protect against inevitable losses. Caveats No strategy guarantees a 100% win rate; false signals can occur, especially in choppy markets. Test this strategy on historical data or a demo account to verify its effectiveness for your asset and timeframe. This approach leverages the strengths of both trend-following (EMA) and momentum (Stochastic RSI) tools, aiming for a high-probability, disciplined trading system.
Indicatore Pine Script®
di IP2290
TLC sessionA Professional Intraday Session Tracker with VWAP and Economic Event Integration Description This indicator provides visual tracking of major trading sessions (Asian, London, New York) combined with VWAP calculations and macroeconomic event zones. It's designed for intraday traders who need to monitor session overlaps, liquidity periods, and high-impact news events. The basic script of trading sessions was taken as a basis and refined for greater convenience. Key Features: Customizable Session Tracking: Visualize up to 3 trading sessions with adjustable time zones (supports IANA & GMT formats) Dynamic VWAP Integration: Built-in Volume-Weighted Average Price calculation Macro Event Zones: Highlights key economic announcement windows (adjustable for summer/winter time) Price Action Visualization: Displays open/close prices, session ranges, and average price levels Automatic DST Adjustment: Uses IANA timezone database for daylight savings awareness How It Works 1. Trading Session Detection Three fully configurable sessions (e.g., Asia, London, New York) Each session displays: Colored background zone Opening price (dashed line) Closing price (dashed line) Average price (dotted line) Optional label with session name 2. VWAP Calculation Standard Volume-Weighted Average Price plotted as circled line Helps identify fair value within each session 3. Macro Event Zones Special highlighted period for economic news releases Automatically adjusts for summer/winter time Default set to 1000-1200 (summer) or 0900-1100 (winter) GMT-5 (US session open) Why This Indicator is Unique Multi-Session Awareness Unlike simple session indicators, this tool: Tracks price development within each session Shows session overlaps (critical for volatility periods) Maintains separate VWAP calculations across sessions Professional-Grade Features IANA timezone support (automatic DST handling) Customizable visual elements (toggle labels, ranges, averages) Object-based architecture (clean, efficient rendering) News event integration (helps avoid trading during high-impact releases) Usage Recommendations Best Timeframes 1-minute to 1-hour charts (intraday focus) Not recommended for daily+ timeframes Trading Applications 1. Session Breakout Strategy: Trade breakouts when London/New York sessions open 2. VWAP Reversion: Fade moves that deviate too far from VWAP 3. News Avoidance: Reduce position sizing during macro event windows Visual Example Asian session (red) London session (blue) New York session (purple) Macro event zone (white) VWAP line (gold circles) The basic script of trading sessions was taken as a basis and refined for greater convenience.
Indicatore Pine Script®
di TradersLifeCommmunity
1
Hybrid Swing/Day Alert System - PLATINUM EditionThis indicator is a complete trading assistant designed for crypto swing and day traders, built to identify high-probability long and short setups based on a multi-confirmation system. Strategy Logic The system scans and confirms entries only when 6 major confluences align: 1. EMA Trend: Price is above or below the EMA 9, 21, and 200 (bullish or bearish trend). 2. RSI Zone: RSI(14) is between 40-60 (ideal reversal zone). 3. Volume Confirmation: Volume is declining on pullback and then spikes. 4. Accumulation/Distribution: A/D line rising (for longs) or falling (for shorts). 5. Fibonacci Pullback Zone: Automatic detection of swing high/low and checks if price is inside the golden zone (0.5-0.618). Built-In Alerts - Long Setup Confirmed - Short Setup Confirmed - Setup Forming: Monitor Conclusion This script is ideal for disciplined traders who value confluence-based entries, risk/reward logic, and trend-aligned trades. Perfect for semi-automated trading via alerts or manual execution.6. Candle Pattern: Bullish (hammer, doji, engulfing) or Bearish (rejection wick, engulfing, doji). Visual Features - Long Entry: Green square - Short Entry: Red triangle - Pre-Signal Alert: Blue circle (confluence forming) - Dynamic Table: Displays all 6 confirmations in real time - Fibonacci Zones: Auto-plotted long/short retracement zones - Customizable: Turn on/off alerts, overlays, and direction filters Best Use Cases - 4H/Daily: Trend confirmation - 1H: Entry execution - 15min: Scalping (use cautiously) - Works great with BTC, ETH, SOL, XAU, and meme coins
Indicatore Pine Script®
di TonyVecker
2
Ceres Trader Inv DXY % OverlayIntroducing the “Inverse DXY % Overlay” for TradingView What it does: • Plots the U.S. Dollar Index (DXY) as an inverted %-change line directly over your primary chart (e.g. XAUUSD). • Dollar strength shows as a downward line; dollar weakness shows as an upward line—instantly highlighting negative correlation. Why it helps: • Trend confirmation – Ride Gold breakouts only when the dollar is actually weakening. • Divergence signals – Spot early turn setups when Gold and DXY % don’t move in sync. • Risk management – Trim or tighten stops when the dollar pivots against your position. Key features: Overlay on any symbol (Gold, Silver, Oil, Crypto, equities) Auto-scaled to left-axis %, so your price chart stays on the right Lightweight & transparent—1 px grey line, minimal clutter Now you’ll have a real-time, inverted DXY % line beneath your candles—perfect for gauging USD flow before you pull the trigger on any trade. Happy trading! 🚀 —Michael (Ceres Trader)
Indicatore Pine Script®
di CeresTrader
Divergence Macro Sentiment Indicator (DMSI)The Divergence Macro Sentiment Indicator (DMSI) Think of DMSI as your daily “mood ring” for the markets. It boils down the tug-of-war between growth assets (S&P 500, copper, oil) and safe havens (gold, VIX) into one clear histogram—so you instantly know if the bulls have broad backing or are charging ahead with one foot tied behind. 🔍 What You’re Seeing Green bars (above zero): Risk-on conviction. Equities and commodities are rallying while gold and volatility retreat. Red bars (below zero): Risk-off caution. Gold or VIX are climbing even as stocks rise—or stocks aren’t fully joined by oil/copper. Zero line: The line in the sand between “full-steam ahead” and “proceed with care.” 📈 How to Read It Cross-Zero Signals Bullish trigger: DMSI flips up through zero after a red stretch → fresh long entries. Bearish trigger: DMSI tumbles below zero from green territory → tighten stops or go defensive. Divergence Warnings If SPX makes new highs but DMSI is rolling over (lower green bars or red), that’s your early red flag—rallies may fizzle. Strength Confirmation On pullbacks, only buy dips when DMSI ≥ 0. When DMSI is deeply positive, you can be more aggressive on position size or add leverage. 💡 Trade Guidance & Use Cases Trend Filter: Only take your S&P or sector-ETF long setups when DMSI is non-negative—avoids hollow rallies. Macro Pair Trades: Deep red DMSI: go long gold or gold miners (GLD, GDX). Strong green DMSI: lean into cyclicals, industrials, even energy names. Risk Management: Scale out as DMSI fades into negative territory mid-trade. Scale in or add to winners when it stays bullish. Swing Confirmation: Overlay on any oscillator or price-pattern system—accept signals only when the macro tide is flowing in your favour. 🚀 Why It Works Markets don’t move in a vacuum. When stocks rally but the “real-economy” metals and volatility aren’t cooperating, something’s off under the hood. DMSI catches those cross-asset cracks before price alone can—and gives you an early warning system for smarter entries, tighter risk, and bigger gains when the macro trend really kicks in.
Indicatore Pine Script®
di Trading_Theories
Ceres Trader Simple Trend & Momentum SignalsCeres Trader – Simple Trend & Momentum Signals Description: Cut through chart noise with a lightweight, two-factor signal system that combines a classic trend filter (200 EMA) with momentum confirmation (smoothed RSI as a QQE proxy). This indicator plots clean entry arrows—no background shading, no clutter—so you can trade only in the high-probability regime: Trend Filter: 200-period exponential moving average Momentum Filter: RSI(14) smoothed over N bars, offset by 50 to create a zero-line Long Entry: Price above the 200 EMA and the smoothed RSI crosses up through zero → green up-arrow below bar Short Entry: Price below the 200 EMA and the smoothed RSI crosses down through zero → red down-arrow above bar Key Features: Minimalist display: only the 200 EMA and entry arrows Customizable inputs: EMA length, RSI length, RSI smoothing period Ultra-low CPU load: suitable for lower timeframes (e.g. 1 min gold futures) Yellow label text: for optimal visibility on dark or light chart backgrounds How to Use: Add the script to your TradingView chart. Choose your timeframe and adjust inputs as needed. Take only the long signals when price is above the EMA, and only the short signals when price is below. Place stops just beyond the EMA; targets can be measured swings or fixed R-multiples. Notes: Designed as a regime-based entry filter—no exits or background fills included. Feel free to combine with your own stop-loss, take-profit, and money-management rules. Trade smarter, not harder—let the market tell you only when both trend and momentum align.
Indicatore Pine Script®
di CeresTrader
Multi-VWAP System🚀 Multi-VWAP System — Anchored VWAP & Deviation Bands Overview The Multi-VWAP System provides traders with a professional-grade approach to anchored VWAP analysis. Inspired by Brian Shannon's pioneering work on Anchored VWAP, this indicator automatically calculates and plots: Current Session VWAP Previous Session VWAP (also known as "2-Day VWAP") High-of-Day (HOD) Anchored VWAP Each VWAP can also display optional Standard Deviation Bands to highlight statistically significant deviations from the volume-weighted average price. 🔍 Why Anchored VWAP Matters Volume Weighted Average Price (VWAP) is among the most critical institutional indicators, as it represents the average price paid for a stock adjusted by trading volume. This makes VWAP crucial for identifying fair value and significant areas of institutional activity. Institutions utilize VWAP extensively to guide their execution algorithms. For instance, if price dips below a 2-day anchored VWAP (anchored to the previous session's open), many institutions interpret this as a discounted entry, potentially triggering large-scale buy programs. Conversely, sustained movement above VWAP signals strong buying pressure and bullish sentiment. 📌 Why Multiple Anchors? Traders commonly anchor VWAPs at critical reference points: Current Session VWAP: Essential for day traders as a reference for intraday sentiment. Price action above this line generally indicates bullish sentiment, while price below signals bearish sentiment. Previous Session (2-Day) VWAP: Heavily used by institutions and swing traders, it provides insight into multi-session sentiment. Institutions commonly activate buy or sell programs based on whether price is trading at a premium or discount relative to this VWAP. High-of-Day (HOD) VWAP: Frequently used by momentum traders, this anchor captures sentiment after the most recent intraday high. Price above the HOD VWAP suggests sustained bullish momentum, while price below might signal weakening momentum. 🌟 Standard Deviation Bands Each anchored VWAP in this indicator includes optional Standard Deviation Bands, highlighting statistical extremes. Traders use these bands to: Identify potentially overextended moves (beyond +2σ or +3σ). Gauge momentum strength (holding above +1σ). Spot mean-reversion setups when price returns to VWAP after extreme moves. 🎨 Dynamic Background and Momentum Colorization To visually highlight strength or weakness in price action relative to VWAP: Dynamic Background Fill between Current and Previous VWAPs: Green background appears when the Current VWAP is above the Previous VWAP and the linear regression slope (adjustable length) is positive, indicating bullish sentiment. Red background appears when the Current VWAP is below the Previous VWAP and the slope is negative, indicating bearish sentiment. No fill when conditions are mixed or momentum is uncertain. Gold Fill above HOD VWAP: When price action is above the High-of-Day VWAP and momentum (linear regression slope) is positive, a subtle gold shading appears, quickly highlighting bullish momentum. ⚙ Fully Customizable Settings Session Times: Adjust session start and end times to match your specific market hours. Standard Deviation Bands: Enable or disable each VWAP’s deviation bands individually and select how many bands (1σ, 2σ, or 3σ) you'd like to display. Momentum Slope Length: Adjustable lookback for linear regression slope calculation—giving you full control of trend sensitivity. 🎯 Who Should Use This Indicator? This indicator is perfect for: Day Traders who want quick insights into intraday sentiment shifts. Swing Traders tracking institutional footprints and seeking optimal entry/exit points. Momentum Traders who rely on clearly visible momentum signals from HOD anchored VWAPs. Institutional Traders and Professionals seeking sophisticated, institutionally-inspired VWAP analysis without manual anchoring. 📈 Summary of Features ✅ Automatic VWAP Anchors (Current Session, Previous Session, High-of-Day) ✅ Optional Standard Deviation Bands for each VWAP anchor ✅ Dynamic Background Coloring based on price action and momentum conditions ✅ Gold Momentum Highlight for quick bullish momentum identification above HOD VWAP ✅ Fully Customizable Inputs for precise personalization and flexibility 📢 Conclusion The Multi-VWAP System isn't just another VWAP indicator. It's an institutional-level, dynamic, multi-dimensional analysis tool inspired by the work of Brian Shannon and leading institutional traders. It takes the guesswork out of anchoring and analysis, leaving you free to focus on identifying and executing high-probability trade setups. Enjoy trading smarter—not harder. Happy Trading! 🚀📊
Indicatore Pine Script®
di garysebastianbrowniii
5
Dskyz (DAFE) Adaptive Regime - Quant Machine ProDskyz (DAFE) Adaptive Regime - Quant Machine Pro: Buckle up for the Dskyz (DAFE) Adaptive Regime - Quant Machine Pro, is a strategy that’s your ultimate edge for conquering futures markets like ES, MES, NQ, and MNQ. This isn’t just another script—it’s a quant-grade powerhouse, crafted with precision to adapt to market regimes, deliver multi-factor signals, and protect your capital with futures-tuned risk management. With its shimmering DAFE visuals, dual dashboards, and glowing watermark, it turns your charts into a cyberpunk command center, making trading as thrilling as it is profitable. Unlike generic scripts clogging up the space, the Adaptive Regime is a DAFE original, built from the ground up to tackle the chaos of futures trading. It identifies market regimes (Trending, Range, Volatile, Quiet) using ADX, Bollinger Bands, and HTF indicators, then fires trades based on a weighted scoring system that blends candlestick patterns, RSI, MACD, and more. Add in dynamic stops, trailing exits, and a 5% drawdown circuit breaker, and you’ve got a system that’s as safe as it is aggressive. Whether you’re a newbie or a prop desk pro, this strat’s your ticket to outsmarting the markets. Let’s break down every detail and see why it’s a must-have. Why Traders Need This Strategy Futures markets are a gauntlet—fast moves, volatility spikes (like the April 28, 2025 NQ 1k-point drop), and institutional traps that punish the unprepared. Meanwhile, platforms are flooded with low-effort scripts that recycle old ideas with zero innovation. The Adaptive Regime stands tall, offering: Adaptive Intelligence: Detects market regimes (Trending, Range, Volatile, Quiet) to optimize signals, unlike one-size-fits-all scripts. Multi-Factor Precision: Combines candlestick patterns, MA trends, RSI, MACD, volume, and HTF confirmation for high-probability trades. Futures-Optimized Risk: Calculates position sizes based on $ risk (default: $300), with ATR or fixed stops/TPs tailored for ES/MES. Bulletproof Safety: 5% daily drawdown circuit breaker and trailing stops keep your account intact, even in chaos. DAFE Visual Mastery: Pulsing Bollinger Band fills, dynamic SL/TP lines, and dual dashboards (metrics + position) make signals crystal-clear and charts a work of art. Original Craftsmanship: A DAFE creation, built with community passion, not a rehashed clone of generic code. Traders need this because it’s a complete, adaptive system that blends quant smarts, user-friendly design, and DAFE flair. It’s your edge to trade with confidence, cut through market noise, and leave the copycats in the dust. Strategy Components 1. Market Regime Detection The strategy’s brain is its ability to classify market conditions into five regimes, ensuring signals match the environment. How It Works: Trending (Regime 1): ADX > 20, fast/slow EMA spread > 0.3x ATR, HTF RSI > 50 or MACD bullish (htf_trend_bull/bear). Range (Regime 2): ADX < 25, price range < 3% of close, no HTF trend. Volatile (Regime 3): BB width > 1.5x avg, ATR > 1.2x avg, HTF RSI overbought/oversold. Quiet (Regime 4): BB width < 0.8x avg, ATR < 0.9x avg. Other (Regime 5): Default for unclear conditions. Indicators: ADX (14), BB width (20), ATR (14, 50-bar SMA), HTF RSI (14, daily default), HTF MACD (12,26,9). Why It’s Brilliant: Regime detection adapts signals to market context, boosting win rates in trending or volatile conditions. HTF RSI/MACD add a big-picture filter, rare in basic scripts. Visualized via gradient background (green for Trending, orange for Range, red for Volatile, gray for Quiet, navy for Other). 2. Multi-Factor Signal Scoring Entries are driven by a weighted scoring system that combines candlestick patterns, trend, momentum, and volume for robust signals. Candlestick Patterns: Bullish: Engulfing (0.5), hammer (0.4 in Range, 0.2 else), morning star (0.2), piercing (0.2), double bottom (0.3 in Volatile, 0.15 else). Must be near support (low ≤ 1.01x 20-bar low) with volume spike (>1.5x 20-bar avg). Bearish: Engulfing (0.5), shooting star (0.4 in Range, 0.2 else), evening star (0.2), dark cloud (0.2), double top (0.3 in Volatile, 0.15 else). Must be near resistance (high ≥ 0.99x 20-bar high) with volume spike. Logic: Patterns are weighted higher in specific regimes (e.g., hammer in Range, double bottom in Volatile). Additional Factors: Trend: Fast EMA (20) > slow EMA (50) + 0.5x ATR (trend_bull, +0.2); opposite for trend_bear. RSI: RSI (14) < 30 (rsi_bull, +0.15); > 70 (rsi_bear, +0.15). MACD: MACD line > signal (12,26,9, macd_bull, +0.15); opposite for macd_bear. Volume: ATR > 1.2x 50-bar avg (vol_expansion, +0.1). HTF Confirmation: HTF RSI < 70 and MACD bullish (htf_bull_confirm, +0.2); RSI > 30 and MACD bearish (htf_bear_confirm, +0.2). Scoring: bull_score = sum of bullish factors; bear_score = sum of bearish. Entry requires score ≥ 1.0. Example: Bullish engulfing (0.5) + trend_bull (0.2) + rsi_bull (0.15) + htf_bull_confirm (0.2) = 1.05, triggers long. Why It’s Brilliant: Multi-factor scoring ensures signals are confirmed by multiple market dynamics, reducing false positives. Regime-specific weights make patterns more relevant (e.g., hammers shine in Range markets). HTF confirmation aligns with the big picture, a quant edge over simplistic scripts. 3. Futures-Tuned Risk Management The risk system is built for futures, calculating position sizes based on $ risk and offering flexible stops/TPs. Position Sizing: Logic: Risk per trade (default: $300) ÷ (stop distance in points * point value) = contracts, capped at max_contracts (default: 5). Point value = tick value (e.g., $12.5 for ES) * ticks per point (4) * contract multiplier (1 for ES, 0.1 for MES). Example: $300 risk, 8-point stop, ES ($50/point) → 0.75 contracts, rounded to 1. Impact: Precise sizing prevents over-leverage, critical for micro contracts like MES. Stops and Take-Profits: Fixed: Default stop = 8 points, TP = 16 points (2:1 reward/risk). ATR-Based: Stop = 1.5x ATR (default), TP = 3x ATR, enabled via use_atr_for_stops. Logic: Stops set at swing low/high ± stop distance; TPs at 2x stop distance from entry. Impact: ATR stops adapt to volatility, while fixed stops suit stable markets. Trailing Stops: Logic: Activates at 50% of TP distance. Trails at close ± 1.5x ATR (atr_multiplier). Longs: max(trail_stop_long, close - ATR * 1.5); shorts: min(trail_stop_short, close + ATR * 1.5). Impact: Locks in profits during trends, a game-changer in volatile sessions. Circuit Breaker: Logic: Pauses trading if daily drawdown > 5% (daily_drawdown = (max_equity - equity) / max_equity). Impact: Protects capital during black swan events (e.g., April 27, 2025 ES slippage). Why It’s Brilliant: Futures-specific inputs (tick value, multiplier) make it plug-and-play for ES/MES. Trailing stops and circuit breaker add pro-level safety, rare in off-the-shelf scripts. Flexible stops (ATR or fixed) suit different trading styles. 4. Trade Entry and Exit Logic Entries and exits are precise, driven by bull_score/bear_score and protected by drawdown checks. Entry Conditions: Long: bull_score ≥ 1.0, no position (position_size <= 0), drawdown < 5% (not pause_trading). Calculates contracts, sets stop at swing low - stop points, TP at 2x stop distance. Short: bear_score ≥ 1.0, position_size >= 0, drawdown < 5%. Stop at swing high + stop points, TP at 2x stop distance. Logic: Tracks entry_regime for PNL arrays. Closes opposite positions before entering. Exit Conditions: Stop-Loss/Take-Profit: Hits stop or TP (strategy.exit). Trailing Stop: Activates at 50% TP, trails by ATR * 1.5. Emergency Exit: Closes if price breaches stop (close < long_stop_price or close > short_stop_price). Reset: Clears stop/TP prices when flat (position_size = 0). Why It’s Brilliant: Score-based entries ensure multi-factor confirmation, filtering out weak signals. Trailing stops maximize profits in trends, unlike static exits in basic scripts. Emergency exits add an extra safety layer, critical for futures volatility. 5. DAFE Visuals The visuals are pure DAFE magic, blending function with cyberpunk flair to make signals intuitive and charts stunning. Shimmering Bollinger Band Fill: Display: BB basis (20, white), upper/lower (green/red, 45% transparent). Fill pulses (30–50 alpha) by regime, with glow (60–95 alpha) near bands (close ≥ 0.995x upper or ≤ 1.005x lower). Purpose: Highlights volatility and key levels with a futuristic glow. Visuals make complex regimes and signals instantly clear, even for newbies. Pulsing effects and regime-specific colors add a DAFE signature, setting it apart from generic scripts. BB glow emphasizes tradeable levels, enhancing decision-making. Chart Background (Regime Heatmap): Green — Trending Market: Strong, sustained price movement in one direction. The market is in a trend phase—momentum follows through. Orange — Range-Bound: Market is consolidating or moving sideways, with no clear up/down trend. Great for mean reversion setups. Red — Volatile Regime: High volatility, heightened risk, and larger/faster price swings—trade with caution. Gray — Quiet/Low Volatility: Market is calm and inactive, with small moves—often poor conditions for most strategies. Navy — Other/Neutral: Regime is uncertain or mixed; signals may be less reliable. Bollinger Bands Glow (Dynamic Fill): Neon Red Glow — Warning!: Price is near or breaking above the upper band; momentum is overstretched, watch for overbought conditions or reversals. Bright Green Glow — Opportunity!: Price is near or breaking below the lower band; market could be oversold, prime for bounce or reversal. Trend Green Fill — Trending Regime: Fills between bands with green when the market is trending, showing clear momentum. Gold/Yellow Fill — Range Regime: Fills with gold/aqua in range conditions, showing the market is sideways/oscillating. Magenta/Red Fill — Volatility Spike: Fills with vivid magenta/red during highly volatile regimes. Blue Fill — Neutral/Quiet: A soft blue glow for other or uncertain market states. Moving Averages: Display: Blue fast EMA (20), red slow EMA (50), 2px. Purpose: Shows trend direction, with trend_dir requiring ATR-scaled spread. Dynamic SL/TP Lines: Display: Pulsing colors (red SL, green TP for Trending; yellow/orange for Range, etc.), 3px, with pulse_alpha for shimmer. Purpose: Tracks stops/TPs in real-time, color-coded by regime. 6. Dual Dashboards Two dashboards deliver real-time insights, making the strat a quant command center. Bottom-Left Metrics Dashboard (2x13): Metrics: Mode (Active/Paused), trend (Bullish/Bearish/Neutral), ATR, ATR avg, volume spike (YES/NO), RSI (value + Oversold/Overbought/Neutral), HTF RSI, HTF trend, last signal (Buy/Sell/None), regime, bull score. Display: Black (29% transparent), purple title, color-coded (green for bullish, red for bearish). Purpose: Consolidates market context and signal strength. Top-Right Position Dashboard (2x7): Metrics: Regime, position side (Long/Short/None), position PNL ($), SL, TP, daily PNL ($). Display: Black (29% transparent), purple title, color-coded (lime for Long, red for Short). Purpose: Tracks live trades and profitability. Why It’s Brilliant: Dual dashboards cover market context and trade status, a rare feature. Color-coding and concise metrics guide beginners (e.g., green “Buy” = go). Real-time PNL and SL/TP visibility empower disciplined trading. 7. Performance Tracking Logic: Arrays (regime_pnl_long/short, regime_win/loss_long/short) track PNL and win/loss by regime (1–5). Updated on trade close (barstate.isconfirmed). Purpose: Prepares for future adaptive thresholds (e.g., adjust bull_score min based on regime performance). Why It’s Brilliant: Lays the groundwork for self-optimizing logic, a quant edge over static scripts. Key Features Regime-Adaptive: Optimizes signals for Trending, Range, Volatile, Quiet markets. Futures-Optimized: Precise sizing for ES/MES with tick-based risk inputs. Multi-Factor Signals: Candlestick patterns, RSI, MACD, and HTF confirmation for robust entries. Dynamic Exits: ATR/fixed stops, 2:1 TPs, and trailing stops maximize profits. Safe and Smart: 5% drawdown breaker and emergency exits protect capital. DAFE Visuals: Shimmering BB fill, pulsing SL/TP, and dual dashboards. Backtest-Ready: Fixed qty and tick calc for accurate historical testing. How to Use Add to Chart: Load on a 5min ES/MES chart in TradingView. Configure Inputs: Set instrument (ES/MES), tick value ($12.5/$1.25), multiplier (1/0.1), risk ($300 default). Enable ATR stops for volatility. Monitor Dashboards: Bottom-left for regime/signals, top-right for position/PNL. Backtest: Run in strategy tester to compare regimes. Live Trade: Connect to Tradovate or similar. Watch for slippage (e.g., April 27, 2025 ES issues). Replay Test: Try April 28, 2025 NQ drop to see regime shifts and stops. Disclaimer Trading futures involves significant risk of loss and is not suitable for all investors. Past performance does not guarantee future results. Backtest results may differ from live trading due to slippage, fees, or market conditions. Use this strategy at your own risk, and consult a financial advisor before trading. Dskyz (DAFE) Trading Systems is not responsible for any losses incurred. Backtesting: Frame: 2023-09-20 - 2025-04-29 Slippage: 3 Fee Typical Range (per side, per contract) CME Exchange $1.14 – $1.20 Clearing $0.10 – $0.30 NFA Regulatory $0.02 Firm/Broker Commis. $0.25 – $0.80 (retail prop) TOTAL $1.60 – $2.30 per side Round Turn: (enter+exit) = $3.20 – $4.60 per contract Final Notes The Dskyz (DAFE) Adaptive Regime - Quant Machine Pro is more than a strategy—it’s a revolution. Crafted with DAFE’s signature precision, it rises above generic scripts with adaptive regimes, quant-grade signals, and visuals that make trading a thrill. Whether you’re scalping MES or swinging ES, this system empowers you to navigate markets with confidence and style. Join the DAFE crew, light up your charts, and let’s dominate the futures game! (This publishing will most likely be taken down do to some miscellaneous rule about properly displaying charting symbols, or whatever. Once I've identified what part of the publishing they want to pick on, I'll adjust and repost.) Use it with discipline. Use it with clarity. Trade smarter. **I will continue to release incredible strategies and indicators until I turn this into a brand or until someone offers me a contract. Created by Dskyz, powered by DAFE Trading Systems. Trade smart, trade bold.
Strategia Pine Script®
di DskyzInvestments
ian_Trado v15 Trend Entry Filter# 📈 ian_Trado v15 Trend Entry Filter (Pine Script v6) The **ian_Trado v15** is a multi-factor **trend confirmation filter** for NASDAQ (NAS100), Dow Jones (DJ30), Gold (XAU), DAX, and USDJPY. It combines **EMA structure**, **Donchian channel breakout**, **MACD histogram momentum**, **Volume confirmation**, and a **Range Compression Filter** to avoid entering during choppy or sideways markets. ✅ Designed for **bot deployment** (e.g., grid bots, long/short breakout bots) or **manual trading**. --- ## 🔍 How This Filter Works: 1. **EMA Trend Confirmation** - Long Trend: EMA(1) > EMA(5) > EMA(60) - Short Trend: EMA(1) < EMA(5) < EMA(60) 2. **Donchian Channel Width Expansion** - Only allows trades when the **breakout width** exceeds a minimum threshold. 3. **MACD Histogram Slope Filter (Optional)** - Confirms momentum building in the direction of the trend. - Strict Mode: MACD histogram must consistently rise or fall over 3 bars. 4. **Volume Filter (Optional)** - Ensures volume supports the move (filters out weak conditions). 5. **Range Compression Filter (Optional)** - Avoids entries during sideways chop. 6. **Cooldown Control** - Limits overtrading by requiring spacing between entries. 7. **Exit Conditions** - Gray dot appears when trending conditions are no longer valid. --- ## ⚙️ Settings Explained: | Setting | Description | |:--------|:------------| | **Cooldown Bars** | Minimum bars between consecutive entries | | **Profit Target (%)** | Visual profit marker for exit tracking | | **Donchian Channel Length** | Lookback period for detecting breakout width | | **Minimum Donchian Width** | Threshold to confirm meaningful breakouts | | **Volume Lookback Period** | Average volume validation window | | **Box Range (Range Compression)** | Max allowed price range over lookback bars | | **Range Compression Bars** | Number of bars to check for range compression | | **Strict MACD Filter** | Use stricter MACD slope checks | --- ## 📊 Recommended Settings by Instrument (1H Chart): | Asset | Min Donchian Width | Range Compression | Profit Target | |:------|:-------------------|:------------------|:--------------| | **NAS100** (Nasdaq) | 300–450 pts | 400 pts / 40 bars | 1.5% | | **DJ30** (Dow Jones) | 400–600 pts | 500 pts / 40 bars | 1.0–1.5% | | **XAU/USD** (Gold) | 10–15 pts | 8 pts / 30 bars | 0.8–1.2% | | **DAX40** (Germany) | 200–300 pts | 250 pts / 40 bars | 1.0% | | **USD/JPY** (Forex) | 0.5–0.8 pts | 0.4 pts / 40 bars | 0.5–0.8% | --- ## 🔔 Alerts Available: - Long Entry - Short Entry - Exit Zone > **Note:** Volume filter may be disabled if volume is unreliable (e.g., some forex pairs). --- ## 📅 Version: - **ian_Trado v15** — April 2025 - Built with **Pine Script v6** for maximum stability - Clean toggling and plotting logic (no `na` errors)
Indicatore Pine Script®
di ikohtl