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Langlands-Operadic Möbius Vortex (LOMV)Langlands-Operadic Möbius Vortex (LOMV) Where Pure Mathematics Meets Market Reality A Revolutionary Synthesis of Number Theory, Category Theory, and Market Dynamics 🎓 THEORETICAL FOUNDATION The Langlands-Operadic Möbius Vortex represents a groundbreaking fusion of three profound mathematical frameworks that have never before been combined for market analysis: The Langlands Program: Harmonic Analysis in Markets Developed by Robert Langlands (Fields Medal recipient), the Langlands Program creates bridges between number theory, algebraic geometry, and harmonic analysis. In our indicator: L-Function Implementation: - Utilizes the Möbius function μ(n) for weighted price analysis - Applies Riemann zeta function convergence principles - Calculates quantum harmonic resonance between -2 and +2 - Measures deep mathematical patterns invisible to traditional analysis The L-Function core calculation employs: L_sum = Σ(return_val × μ(n) × n^(-s)) Where s is the critical strip parameter (0.5-2.5), controlling mathematical precision and signal smoothness. Operadic Composition Theory: Multi-Strategy Democracy Category theory and operads provide the mathematical framework for composing multiple trading strategies into a unified signal. This isn't simple averaging - it's mathematical composition using: Strategy Composition Arity (2-5 strategies): - Momentum analysis via RSI transformation - Mean reversion through Bollinger Band mathematics - Order Flow Polarity Index (revolutionary T3-smoothed volume analysis) - Trend detection using Directional Movement - Higher timeframe momentum confirmation Agreement Threshold System: Democratic voting where strategies must reach consensus before signal generation. This prevents false signals during market uncertainty. Möbius Function: Number Theory in Action The Möbius function μ(n) forms the mathematical backbone: - μ(n) = 1 if n is a square-free positive integer with even number of prime factors - μ(n) = -1 if n is a square-free positive integer with odd number of prime factors - μ(n) = 0 if n has a squared prime factor This creates oscillating weights that reveal hidden market periodicities and harmonic structures. 🔧 COMPREHENSIVE INPUT SYSTEM Langlands Program Parameters Modular Level N (5-50, default 30): Primary lookback for quantum harmonic analysis. Optimized by timeframe: - Scalping (1-5min): 15-25 - Day Trading (15min-1H): 25-35 - Swing Trading (4H-1D): 35-50 - Asset-specific: Crypto 15-25, Stocks 30-40, Forex 35-45 L-Function Critical Strip (0.5-2.5, default 1.5): Controls Riemann zeta convergence precision: - Higher values: More stable, smoother signals - Lower values: More reactive, catches quick moves - High frequency: 0.8-1.2, Medium: 1.3-1.7, Low: 1.8-2.3 Frobenius Trace Period (5-50, default 21): Galois representation lookback for price-volume correlation: - Measures harmonic relationships in market flows - Scalping: 8-15, Day Trading: 18-25, Swing: 25-40 HTF Multi-Scale Analysis: Higher timeframe context prevents trading against major trends: - Provides market bias and filters signals - Improves win rates by 15-25% through trend alignment Operadic Composition Parameters Strategy Composition Arity (2-5, default 4): Number of algorithms composed for final signal: - Conservative: 4-5 strategies (higher confidence) - Moderate: 3-4 strategies (balanced approach) - Aggressive: 2-3 strategies (more frequent signals) Category Agreement Threshold (2-5, default 3): Democratic voting minimum for signal generation: - Higher agreement: Fewer but higher quality signals - Lower agreement: More signals, potential false positives Swiss-Cheese Mixing (0.1-0.5, default 0.382): Golden ratio φ⁻¹ based blending of trend factors: - 0.382 is φ⁻¹, optimal for natural market fractals - Higher values: Stronger trend following - Lower values: More contrarian signals OFPI Configuration: - OFPI Length (5-30, default 14): Order Flow calculation period - T3 Smoothing (3-10, default 5): Advanced exponential smoothing - T3 Volume Factor (0.5-1.0, default 0.7): Smoothing aggressiveness control Unified Scoring System Component Weights (sum ≈ 1.0): - L-Function Weight (0.1-0.5, default 0.3): Mathematical harmony emphasis - Galois Rank Weight (0.1-0.5, default 0.2): Market structure complexity - Operadic Weight (0.1-0.5, default 0.3): Multi-strategy consensus - Correspondence Weight (0.1-0.5, default 0.2): Theory-practice alignment Signal Threshold (0.5-10.0, default 5.0): Quality filter producing: - 8.0+: EXCEPTIONAL signals only - 6.0-7.9: STRONG signals - 4.0-5.9: MODERATE signals - 2.0-3.9: WEAK signals 🎨 ADVANCED VISUAL SYSTEM Multi-Dimensional Quantum Aura Bands Five-layer resonance field showing market energy: - Colors: Theme-matched gradients (Quantum purple, Holographic cyan, etc.) - Expansion: Dynamic based on score intensity and volatility - Function: Multi-timeframe support/resistance zones Morphism Flow Portals Category theory visualization showing market topology: - Green/Cyan Portals: Bullish mathematical flow - Red/Orange Portals: Bearish mathematical flow - Size/Intensity: Proportional to signal strength - Recursion Depth (1-8): Nested patterns for flow evolution Fractal Grid System Dynamic support/resistance with projected L-Scores: - Multiple Timeframes: 10, 20, 30, 40, 50-period highs/lows - Smart Spacing: Prevents level overlap using ATR-based minimum distance - Projections: Estimated signal scores when price reaches levels - Usage: Precise entry/exit timing with mathematical confirmation Wick Pressure Analysis Rejection level prediction using candle mathematics: - Upper Wicks: Selling pressure zones (purple/red lines) - Lower Wicks: Buying pressure zones (purple/green lines) - Glow Intensity (1-8): Visual emphasis and line reach - Application: Confluence with fractal grid creates high-probability zones Regime Intensity Heatmap Background coloring showing market energy: - Black/Dark: Low activity, range-bound markets - Purple Glow: Building momentum and trend development - Bright Purple: High activity, strong directional moves - Calculation: Combines trend, momentum, volatility, and score intensity Six Professional Themes - Quantum: Purple/violet for general trading and mathematical focus - Holographic: Cyan/magenta optimized for cryptocurrency markets - Crystalline: Blue/turquoise for conservative, stability-focused trading - Plasma: Gold/magenta for high-energy volatility trading - Cosmic Neon: Bright neon colors for maximum visibility and aggressive trading 📊 INSTITUTIONAL-GRADE DASHBOARD Unified AI Score Section - Total Score (-10 to +10): Primary decision metric - >5: Strong bullish signals - <-5: Strong bearish signals - Quality ratings: EXCEPTIONAL > STRONG > MODERATE > WEAK - Component Analysis: Individual L-Function, Galois, Operadic, and Correspondence contributions Order Flow Analysis Revolutionary OFPI integration: - OFPI Value (-100% to +100%): Real buying vs selling pressure - Visual Gauge: Horizontal bar chart showing flow intensity - Momentum Status: SHIFTING, ACCELERATING, STRONG, MODERATE, or WEAK - Trading Application: Flow shifts often precede major moves Signal Performance Tracking - Win Rate Monitoring: Real-time success percentage with emoji indicators - Signal Count: Total signals generated for frequency analysis - Current Position: LONG, SHORT, or NONE with P&L tracking - Volatility Regime: HIGH, MEDIUM, or LOW classification Market Structure Analysis - Möbius Field Strength: Mathematical field oscillation intensity - CHAOTIC: High complexity, use wider stops - STRONG: Active field, normal position sizing - MODERATE: Balanced conditions - WEAK: Low activity, consider smaller positions - HTF Trend: Higher timeframe bias (BULL/BEAR/NEUTRAL) - Strategy Agreement: Multi-algorithm consensus level Position Management When in trades, displays: - Entry Price: Original signal price - Current P&L: Real-time percentage with risk level assessment - Duration: Bars in trade for timing analysis - Risk Level: HIGH/MEDIUM/LOW based on current exposure 🚀 SIGNAL GENERATION LOGIC Balanced Long/Short Architecture The indicator generates signals through multiple convergent pathways: Long Entry Conditions: - Score threshold breach with algorithmic agreement - Strong bullish order flow (OFPI > 0.15) with positive composite signal - Bullish pattern recognition with mathematical confirmation - HTF trend alignment with momentum shifting - Extreme bullish OFPI (>0.3) with any positive score Short Entry Conditions: - Score threshold breach with bearish agreement - Strong bearish order flow (OFPI < -0.15) with negative composite signal - Bearish pattern recognition with mathematical confirmation - HTF trend alignment with momentum shifting - Extreme bearish OFPI (<-0.3) with any negative score Exit Logic: - Score deterioration below continuation threshold - Signal quality degradation - Opposing order flow acceleration - 10-bar minimum between signals prevents overtrading ⚙️ OPTIMIZATION GUIDELINES Asset-Specific Settings Cryptocurrency Trading: - Modular Level: 15-25 (capture volatility) - L-Function Precision: 0.8-1.3 (reactive to price swings) - OFPI Length: 10-20 (fast correlation shifts) - Cascade Levels: 5-7, Theme: Holographic Stock Index Trading: - Modular Level: 25-35 (balanced trending) - L-Function Precision: 1.5-1.8 (stable patterns) - OFPI Length: 14-20 (standard correlation) - Cascade Levels: 4-5, Theme: Quantum Forex Trading: - Modular Level: 35-45 (smooth trends) - L-Function Precision: 1.6-2.1 (high smoothing) - OFPI Length: 18-25 (disable volume amplification) - Cascade Levels: 3-4, Theme: Crystalline Timeframe Optimization Scalping (1-5 minute charts): - Reduce all lookback parameters by 30-40% - Increase L-Function precision for noise reduction - Enable all visual elements for maximum information - Use Small dashboard to save screen space Day Trading (15 minute - 1 hour): - Use default parameters as starting point - Adjust based on market volatility - Normal dashboard provides optimal information density - Focus on OFPI momentum shifts for entries Swing Trading (4 hour - Daily): - Increase lookback parameters by 30-50% - Higher L-Function precision for stability - Large dashboard for comprehensive analysis - Emphasize HTF trend alignment 🏆 ADVANCED TRADING STRATEGIES The Mathematical Confluence Method 1. Wait for Fractal Grid level approach 2. Confirm with projected L-Score > threshold 3. Verify OFPI alignment with direction 4. Enter on portal signal with quality ≥ STRONG 5. Exit on score deterioration or opposing flow The Regime Trading System 1. Monitor Aether Flow background intensity 2. Trade aggressively during bright purple periods 3. Reduce position size during dark periods 4. Use Möbius Field strength for stop placement 5. Align with HTF trend for maximum probability The OFPI Momentum Strategy 1. Watch for momentum shifting detection 2. Confirm with accelerating flow in direction 3. Enter on immediate portal signal 4. Scale out at Fibonacci levels 5. Exit on flow deceleration or reversal ⚠️ RISK MANAGEMENT INTEGRATION Mathematical Position Sizing - Use Galois Rank for volatility-adjusted sizing - Möbius Field strength determines stop width - Fractal Dimension guides maximum exposure - OFPI momentum affects entry timing Signal Quality Filtering - Trade only STRONG or EXCEPTIONAL quality signals - Increase position size with higher agreement levels - Reduce risk during CHAOTIC Möbius field periods - Respect HTF trend alignment for directional bias 🔬 DEVELOPMENT JOURNEY Creating the LOMV was an extraordinary mathematical undertaking that pushed the boundaries of what's possible in technical analysis. This indicator almost didn't happen. The theoretical complexity nearly proved insurmountable. The Mathematical Challenge Implementing the Langlands Program required deep research into: - Number theory and the Möbius function - Riemann zeta function convergence properties - L-function analytical continuation - Galois representations in finite fields The mathematical literature spans decades of pure mathematics research, requiring translation from abstract theory to practical market application. The Computational Complexity Operadic composition theory demanded: - Category theory implementation in Pine Script - Multi-dimensional array management for strategy composition - Real-time democratic voting algorithms - Performance optimization for complex calculations The Integration Breakthrough Bringing together three disparate mathematical frameworks required: - Novel approaches to signal weighting and combination - Revolutionary Order Flow Polarity Index development - Advanced T3 smoothing implementation - Balanced signal generation preventing directional bias Months of intensive research culminated in breakthrough moments when the mathematics finally aligned with market reality. The result is an indicator that reveals market structure invisible to conventional analysis while maintaining practical trading utility. 🎯 PRACTICAL IMPLEMENTATION Getting Started 1. Apply indicator with default settings 2. Select appropriate theme for your markets 3. Observe dashboard metrics during different market conditions 4. Practice signal identification without trading 5. Gradually adjust parameters based on observations Signal Confirmation Process - Never trade on score alone - verify quality rating - Confirm OFPI alignment with intended direction - Check fractal grid level proximity for timing - Ensure Möbius field strength supports position size - Validate against HTF trend for bias confirmation Performance Monitoring - Track win rate in dashboard for strategy assessment - Monitor component contributions for optimization - Adjust threshold based on desired signal frequency - Document performance across different market regimes 🌟 UNIQUE INNOVATIONS 1. First Integration of Langlands Program mathematics with practical trading 2. Revolutionary OFPI with T3 smoothing and momentum detection 3. Operadic Composition using category theory for signal democracy 4. Dynamic Fractal Grid with projected L-Score calculations 5. Multi-Dimensional Visualization through morphism flow portals 6. Regime-Adaptive Background showing market energy intensity 7. Balanced Signal Generation preventing directional bias 8. Professional Dashboard with institutional-grade metrics 📚 EDUCATIONAL VALUE The LOMV serves as both a practical trading tool and an educational gateway to advanced mathematics. Traders gain exposure to: - Pure mathematics applications in markets - Category theory and operadic composition - Number theory through Möbius function implementation - Harmonic analysis via L-function calculations - Advanced signal processing through T3 smoothing ⚖️ RESPONSIBLE USAGE This indicator represents advanced mathematical research applied to market analysis. While the underlying mathematics are rigorously implemented, markets remain inherently unpredictable. Key Principles: - Use as part of comprehensive trading strategy - Implement proper risk management at all times - Backtest thoroughly before live implementation - Understand that past performance does not guarantee future results - Never risk more than you can afford to lose The mathematics reveal deep market structure, but successful trading requires discipline, patience, and sound risk management beyond any indicator. 🔮 CONCLUSION The Langlands-Operadic Möbius Vortex represents a quantum leap forward in technical analysis, bringing PhD-level pure mathematics to practical trading while maintaining visual elegance and usability. From the harmonic analysis of the Langlands Program to the democratic composition of operadic theory, from the number-theoretic precision of the Möbius function to the revolutionary Order Flow Polarity Index, every component works in mathematical harmony to reveal the hidden order within market chaos. This is more than an indicator - it's a mathematical lens that transforms how you see and understand market structure. Trade with mathematical precision. Trade with the LOMV. *"Mathematics is the language with which God has written the universe." - Galileo Galilei* *In markets, as in nature, profound mathematical beauty underlies apparent chaos. The LOMV reveals this hidden order.* — Dskyz, Trade with insight. Trade with anticipation.
Indicatore Pine Script®
di DskyzInvestments
23
McGinley Dynamic debugged🔍 McGinley Dynamic Debugged (Adaptive Moving Average) This indicator plots the McGinley Dynamic, a mathematically adaptive moving average designed to reduce lag and better track price action during both trends and consolidations. ✅ Key Features: Adaptive smoothing: The McGinley Dynamic adjusts itself based on the speed of price changes. Lag reduction: Compared to traditional moving averages like EMA or SMA, McGinley provides smoother yet responsive tracking. Stability fix: This version includes a robust fix for rare recursive calculation issues, particularly on low-priced historical assets (e.g., Wipro pre-2000). ⚙️ What’s Different in This Debugged Version? Implements manual clamping on the source / previous value ratio to prevent mathematical spikes that could cause flattening or distortion in the plotted line. Ensures more stable behavior across all instruments and timeframes, especially those with historically low price points or volatile early data. 💡 Use Case: Ideal for: Trend confirmation Entry filtering Adaptive support/resistance visualization Improving signal precision in low-volatility or high-noise environments ⚠️ Notes: Works best when combined with volume filters or other trend indicators for validation. This version is optimized for visual use—for signal generation, consider pairing it with additional logic or thresholds.
Indicatore Pine Script®
di PROFIT-FARMING
Crypto Long RSI Entry with AveragingIndicator Name: 04 - Crypto Long RSI Entry with Averaging + Info Table + Lines (03 style lines) Description: This indicator is designed for crypto trading on the long side only, using RSI-based entry signals combined with a multi-step averaging strategy and a visual information panel. It aims to capture price rebounds from oversold RSI levels and manage position entries with two staged averaging points, optimizing the average entry price and take-profit targets. Key Features: RSI-Based Entry: Enters a long position when the RSI crosses above a defined oversold level (default 25), with an optional faster entry if RSI crosses above 20 after being below it. Two-Stage Averaging: Allows up to two averaging entries at user-defined price drop percentages (default 5% and 14%), increasing position size to improve average entry price. Dynamic Take Profit: Adjusts take profit targets after each averaging stage, with customizable percentage levels. Visual Signals: Marks entries, averaging points, and exits on the chart using colored labels and lines for easy tracking. Info Table: Displays current trade status, averaging stages, total profit, number of wins, and maximum drawdown percentage in a table on the chart. Graphical Lines: Shows horizontal lines for entry price, take profit, and averaging prices to visually track trade management.
Indicatore Pine Script®
di propellerace
Volumetric Tensegrity🧮 Volumetric Tensegrity unifies two of the Leading Indicator suite's critical engines —  ZVOL  ( volume anomaly detection ) and  OBVX  ( directional conviction ). Originally designed as a structural economizer for traders navigating strict indicator limits (e.g. < 10 slots per chart), it was forced to evolve beyond that constraint simply to fulfill it, albeit with a difference. The fatal flaw of traditional fusion, where two metrics are blended mathematically, is that they lose scale integrity (i.e. meaning). VTense encodes  optical tensegrity  to scale the amplitude of the ZVOL histogram and the slope of the OBVX spread independently, so that expansion and direction may coexist without either dominating the frame. 🧬 Tensegrity , by definition, is an intelligent design principle where elements in compression are suspended within a network of continuous tension, forming a stable, self-supporting structure . Originally conceived in esoteric biomorphology (c.f. Da Vinci, Snelson, Casteneda), tensegrity balances force through opposition, not rigidity. Applied to financial markets,  Volumetric Tensegrity  captures this same principle: price compresses, volume expands, conviction builds or fades — yet structure holds through the interplay. The result is not a prediction engine, but a pressure field — one that visualizes where structure might bend, break, or rebound based on how volume breathes. 🗜️ Rather than layering multiple indicators and consuming precious chart space, VTense frees up room for complementary overlays like momentum mapping, liquidity tiers, or volatility phase detection — making it ideal for modular traders operating in tight technical real estate. 🧠 Core Logic - VTense separates and preserves two essential structural forces: • ZVOL Histogram : A Z-score-based expansion map that measures current volume deviation from its historical average. It reveals buildup zones, dormant stretches, and breakout pressure — regardless of price behavior. • OBVX Spread : A directional conviction curve that tracks the difference between On-Balance Volume and its volume-weighted fast trend. It shows whether the crowd is leaning in (accumulation/distribution) or backing off. 🔊 ZVOL controls the amplitude of the histogram, while OBVX controls the curvature and slope of the spread. Without sacrificing breathing behavior or analytical depth, VTense provides a compact yet dynamic lens to track both expansion pressure and directional bias within a single footprint. 🌊 Volumetric Tensegrity forecasts breakout readiness, trend fatigue, and compression zones by measuring the volatility within volume . Unlike traditional tools that track volatility of price, this indicator reveals when effort becomes unstable — signaling inflection points  before  price reacts. Designed to decode rhythm shifts at the volume level, it operates as a pre-ignition scanner that thrives on low-timeframe charts (15m and under) while scaling effectively to 1H for validation. 🪖 From Generals to Scouts 👀 When used jointly,  ZVOL + OBVX  act as the general : deep-field analysts confirming stress, commitment, or exhaustion. VTense , by contrast, functions as a  scout  — capturing subtle buildup and alignment before structure fully reveals itself. The indicator aims to be a literal vanguard, establishing a position that can be confirmed or flexibly abandoned when the higher authority arrives to evaluate. 🥂 Use the ZVOL + OBVX pair when : • You need independent axis control and manual dissection • You’re building long-form confluence setups • You have more indicator slots than you need 🔎 Use VTense when : • You need compact clarity across multiple instruments • You’re prioritizing confluence _detection_ over granular separation • You’re building efficient multi-layered systems under slot constraints 🏗️ Structural Behavior and Interpretation 🫁 Z VOL Respiration Histogram : Structural Effort vs Baseline 🔵  Compression Coil  – volume volatility is low and stable; the market is coiling 🟢  Steady Rhythm  – volume is healthy but unremarkable; balanced participation 🟡  Passive/Absorbed Effort  – expansion failing to manifest; watch for reversal 🟠  Clean Expansion  – actionable volatility rise backed by structure 🔴  Volatile Blowout  – chaos, climax; likely end-phase or fakeout ⚖️ ZVOL Respiration measures how hard the crowd is pressing — not just that volume is rising, but how statistically  abnormal the surge is. Because it is rescaled proportionally to OBVX, the amplitude of the histogram reflects structural urgency without overwhelming the visual field. 🖐️ OBVX Spread : Real-Time Directional Conviction Behind Price Moves 🔑 The curvature of the spread reveals not just directional bias but  crowd temp o: sharp slopes = urgent transitions; gradual slopes = building structural shifts. Curvature is key: sharp OBVX slope = urgency; gentle arcs = controlled drift or indecision. • Green Rising : Accumulation — upward pressure from real buyers • Red Falling : Distribution — sell pressure, downward slope • Flat Curves : Transitional → uncertainty, microstructure digestion 🎭 Synchronized vs Divergent Behavior ⏱️ Synchronized (high-confluence) : often precedes structural breakouts, with internal conviction clearly visible before price resolves. • ZVOL expands (yellow/orange/red) and OBVX climbs steeply green = strong bullish pressure • ZVOL expands while OBVX steepens red = growing sell-side intent 🪤 Divergent (conflict tension) : flags potential traps, fakeouts, and liquidity sweeps. • ZVOL expands sharply, but OBVX flattens or opposes → reactive expansion without crowd commitment ⛔️ Latent Drift + Structural Holding Patterns : tensegrity in action — the market holds tension without directional release. • ZVOL compresses (blue) + OBVX meanders near zero → structure is resting, building up energy • After prolonged drift, expect violent asymmetry when balance finally breaks 📚 Phase Interpretation: Dynamic Structural Read • 1️⃣ Quiet Coil : Histogram flat, OBVX flat → no urgency • 2️⃣ Initial Pulse : Yellow bars, OBVX slope builds → actionable tension • 3️⃣ Structural Breath : Synchronized expansion and slope → directional commitment • 4️⃣ Disagreement : Spike in ZVOL, flattening OBVX → exhaustion risk or false signal 💡 Suggested Use • Run on 15m charts for breakout anticipation and 1H for validation • Pair with ZVOL + OBVX to confirm crowd conviction behind the tension phase • Use as a rhythm filter for the suite's trend indicators (e.g., RDI , SUPeR TReND 2.718 , et. al.) • Ideal during low-volume regimes to detect pressure buildup before triggers 🧏🏻 Volumetric Tensegrity doesn’t signal. It  breathes , and listens to pressure shifts before they speak in price. As a scout, it lets you see structural posture before signals align — helping you front-run resolution with clarity, not prediction.
Indicatore Pine Script®
di TheLeadingIndicator
1
Ultimate MA & PSAR [TARUN]Overview This indicator combines a customizable Moving Average (MA) and Parabolic SAR (PSAR) to generate precise long and short trade signals. A dashboard displays real-time trade conditions, including signal direction, entry price, stop loss, and PnL tracking. Key Features ✅ Customizable MA Type & Period – Choose between SMA or EMA with adjustable length. ✅ Adaptive PSAR Settings – Modify start, increment, and max step values to fine-tune stop levels. ✅ Trade Signal Logic – Identifies potential buy (long) and sell (short) opportunities based on: Price action relative to MA MA trend direction (rising or falling) PSAR confirmation ✅ Dynamic Stop Loss Calculation – Uses lowest low/highest high over a specified period for stop loss placement. ✅ Trade State & Reversal Handling – Manages active trades, pending signals, and stop loss exits dynamically. ✅ PnL & Dashboard Table – Displays real-time signal status, entry price, stop loss, and profit/loss (PnL) in an easy-to-read format. How It Works 1.Buy (Long) Condition: MA is rising Price is above the MA PSAR is below price 2.Sell (Short) Condition: MA is falling Price is below the MA PSAR is above price 3.Stop Loss Handling: For long trades → stop loss is set at the lowest low of the last X candles For short trades → stop loss is set at the highest high of the last X candles 4.Trade Execution & PnL Calculation: If a valid long/short setup is detected, a pending signal is placed. On the next bullish (for long) or bearish (for short) candle, the trade is confirmed. Real-time PnL updates help track trade performance. Customization Options 🔹 Moving Average: SMA or EMA, adjustable period 🔹 PSAR Settings: Start, Increment, Maximum step values 🔹 Stop Loss Lookback: Choose how many candles to consider for stop loss placement 🔹 Dashboard Positioning: Select preferred display location (top/bottom, left/right) 🔹 Trade Signal Selection: Enable/Disable Long and Short signals individually How to Use Add the indicator to your chart. Customize the MA & PSAR settings according to your trading strategy. Follow the dashboard signals for trade setups. Use stop loss levels to manage risk effectively. Disclaimer ⚠️ This indicator is for educational purposes only and does not constitute financial advice. Always perform proper risk management and backtesting before using it in live trading.
Indicatore Pine Script®
di tarun171977
ATR - Asymmetric Turbulence Ribbon🧭 Asymmetric Turbulence Ribbon (ATR) The Asymmetric Turbulence Ribbon (ATR) is an enhanced and reimagined version of the standard Average True Range (ATR) indicator. It visualizes not just raw volatility, but the structure, momentum, and efficiency of volatility through a multi-layered visual approach. It contains two distinct visual systems: 1. A zero-centered histogram that expresses how current volatility compares to its historical average, with intensity and color showing speed and conviction 2. A braided ribbon made of dual ATR-based moving averages that highlight transitions in volatility behavior—whether volatility is expanding or contracting The name reflects its purpose: to capture asymmetric, evolving turbulence in market behavior, through structure-aware volatility tracking. _______________________________________________________________ 🔧 Inputs (Fibonacci defaults) ATR Length Lookback period for ATR calculation (default: 13) ATR Base Avg. Length Moving average period used as the zero baseline for histogram (default: 55) ATR ROC Lookback Number of bars to measure rate of change for histogram color mapping (default: 8) Timeframe Override Optionally calculate ATR values from a higher or fixed timeframe (e.g., 1D) for macro-volatility overlay Show Ribbon Fill Toggles colored fill between ATR EMA and HMA lines Show ATR MAs Toggles visibility of ATR EMA and HMA lines Show Crossover Markers Shows directional triangle markers where ATR EMA and HMA cross Show Histogram Toggles the entire histogram display _______________________________________________________________ 📊 Histogram Component: Volatility Energy Profile The histogram shows how far the current ATR is from its moving average baseline, centered around zero. This lets you interpret volatility pressure—whether it's expanding, contracting, or preparing to reverse. To complement this, the indicator also plots the raw ATR line in aqua. This is the actual average true range value—used internally in both the histogram and ribbon calculations. By default, it appears as a slightly thicker line, providing a clear reference point for comparing historical volatility trends and absolute levels. Use the baseline ATR to: - Compare real-time volatility to previous peaks or troughs - Monitor how ATR behaves near histogram flips or ribbon crossovers - Evaluate volatility phases in absolute terms alongside relative momentum The ATR line is particularly helpful for users who want to keep tabs on raw volatility values while still benefiting from the enhanced visual storytelling of the histogram and ribbon systems. Each histogram bar is colored based on the rate of change (ROC) in ATR: The faster ATR rises or falls, the more intense the color. Meanwhile, the opacity of each bar is adjusted by the effort/result ratio of the price candle (body vs. range), showing how much price movement was achieved with conviction. Color Interpretation: 🔴 Red Strong volatility expansion Market entering or deepening into a volatility burst Seen during breakouts, panic moves, or macro shock events Often accompanied by large real candle bodies 🟠 Orange Moderate volatility expansion Heating up phase, often precedes breakouts Common in strong trending environments Signals tightening before acceleration 🟡 Yellow Mild volatility increase Transitional state—energy building, not yet exploding Appears in early trend development or pullbacks 🟢 Green Mild volatility contraction ATR cooling off Seen during consolidation, reversion, or range balance Good time to assess upcoming directional setups 🔵 Aqua Moderate compression Volatility is clearly declining Signals consolidation within larger structure Pre-breakout zones often form here 🔵 Deep Blue Strong volatility compression Market is coiling or dormant Can signal upcoming squeeze or fade environment Often followed by sharp expansion Opacity scaling: Brighter bars = efficient, directional price action (strong bodies) Faded bars = indecision, chop, absorption, or wick-heavy structure Together, color and opacity give a 2D view of market volatility: Hue = the type and direction of volatility Opacity = the quality and structure behind it Use this to gauge whether volatility is rising with conviction, fading into neutrality, or compressing toward breakout potential. _______________________________________________________________ 🪡 Ribbon Component: Volatility Rhythm Structure The ribbon overlays two moving averages of ATR: EMA (yellow) – faster, more reactive HMA (orange) – smoother, more rhythmic Their relationship creates the ribbon logic: Yellow fill (EMA > HMA) Short-term volatility is increasing faster than the longer-term rhythm Signals active expansion and engagement Orange fill (HMA > EMA) Volatility is decaying or leveling off Suggests possible exhaustion, pullback, or range Crossover triangle markers (optional, off by default to avoid clutter) identify the moment of shift in volatility phase. The ribbon reflects the  shape of volatility over time—ideal for mapping cyclical energy shifts, transitional states, and alignment between current and average volatility. _______________________________________________________________ 📐 Strategy Application Use the Asymmetric Turbulence Ribbon to: - Detect volatility expansions before breakouts or directional runs - Spot compression zones that precede structural ruptures - Visually separate efficient moves from noisy market activity - Confirm or fade trade setups based on underlying energy state - Track the volatility environment across multiple timeframes using the override _______________________________________________________________ 🎯 Ideal Timeframes Designed to function across all timeframes, but particularly powerful on intraday to daily ranges (1H to 1D) Use the timeframe override to anchor your chart in higher-timeframe volatility context, like daily ATR behavior influencing a 1H setup. _______________________________________________________________ 🧬 Customization Tips - Increase ATR ROC Lookback for smoother color transitions - Extend ATR Base Avg Length for more macro-driven histogram centering - Disable the histogram for ribbon-only rhythm view - Use opacity and color shifts in the histogram to detect stealth energy builds - Align ATR phases with structure or order flow tools for high-quality setups
Indicatore Pine Script®
di TheLeadingIndicator
Global M2 Money Supply (USD) GrowthThe Global M2 Growth indicator evaluates the total liquid money supply, including cash, checking deposits, and assets that can be easily converted to cash. It reflects changes in global liquidity by tracking year-on-year (YoY) changes in the Global M2 money supply rather than its absolute value. This approach highlights the velocity of liquidity expansion or contraction, offering a clearer understanding of its correlation with asset performance, such as Bitcoin. How It Works When the Global M2 money supply expands, it reflects an increase in available liquidity. This often leads to an influx of capital into higher-yielding and riskier assets like Bitcoin, equities, and commodities. Conversely, when M2 contracts, liquidity tightens, leading to declines in the values of these assets. An essential insight is that Bitcoin's price is not immediately affected by changes in M2. Research shows a lag of approximately 56-60 days (around two months) between liquidity changes and Bitcoin's price movements. Shifting the liquidity data forward by this period improves the correlation between Global M2 and Bitcoin performance. How to Use Track Global M2 YoY Change: Focus on liquidity's yearly change to identify trends. Rapid increases in liquidity often signify favorable conditions for Bitcoin and other risk assets to rise, while contractions often predict price declines or consolidation phases. Account for the Lag Effect: Incorporate the two-month lag into your analysis to predict Bitcoin's potential moves more accurately. For instance, a recent resurgence in liquidity growth could signal a Bitcoin rally within the next two months. Use as a Macro Indicator: Monitor liquidity trends alongside other economic indicators and asset performance metrics to build a more comprehensive investment framework. By tracking these dynamics, traders and investors can better anticipate Bitcoin's trajectory and make informed decisions.
Indicatore Pine Script®
di Kendrick_Chan
1
Sma Indicator with Ratio (pr)SMA Indicator with Ratio (PR) is a technical analysis tool designed to provide insights into the relationship between multiple Simple Moving Averages (SMAs) across different time frames. This indicator combines three key SMAs: the 111-period SMA, 730-period SMA, and 1400-period SMA. Additionally, it introduces a ratio-based approach, where the 730-period SMA is multiplied by factors of 2, 3, 4, and 5, allowing users to analyze potential market trends and price movements in relation to different SMA levels. What Does This Indicator Do? The primary function of this indicator is to track the movement of prices in relation to several SMAs with varying periods. By visualizing these SMAs, users can quickly identify: Short-term trends (111-period SMA) Medium-term trends (730-period SMA) Long-term trends (1400-period SMA) Additionally, the multiplied versions of the 730-period SMA provide deeper insights into potential price reactions at different levels of market volatility. How Does It Work? The 111-period SMA tracks the shorter-term price trend and can be used for identifying quick market movements. The 730-period SMA represents a longer-term trend, helping users gauge overall market sentiment and direction. The 1400-period SMA acts as a very long-term trend line, giving users a broad perspective on the market’s movement. The ratio-based SMAs (2x, 3x, 4x, 5x of the 730-period SMA) allow for an enhanced understanding of how the price reacts to higher or lower volatility levels. These ratios are useful for identifying key support and resistance zones in a dynamic market environment. Why Use This Indicator? This indicator is useful for traders and analysts who want to track the interaction of price with different moving averages, enabling them to make more informed decisions about potential trend reversals or continuations. The added ratio-based values enhance the ability to predict how the market might react at different levels. How to Use It? Trend Confirmation: Traders can use the indicator to confirm the direction of the market. If the price is above the 111, 730, or 1400-period SMA, it may indicate an uptrend, and if below, a downtrend. Support/Resistance Levels: The multiplied versions of the 730-period SMA (2x, 3x, 4x, 5x) can be used as dynamic support or resistance levels. When the price approaches or crosses these levels, it might indicate a change in the trend. Volatility Insights: By observing how the price behaves relative to these SMAs, traders can gauge market volatility. Higher multiples of the 730-period SMA can signal more volatile periods where price movements are more pronounced.
Indicatore Pine Script®
di pozitifnegatifuyumsuzluk
Uptrick: Zero Lag HMA Trend Suite1. Name and Purpose Uptrick: Zero Lag HMA Trend Suite is a Pine Version 6 script that builds upon the Hull Moving Average (HMA) to offer an advanced trend analysis tool. Its purpose is to help traders identify trend direction, potential reversals, and overall market momentum with reduced lag compared to traditional moving averages. By combining the HMA with Average True Range (ATR) thresholds, slope-dependent coloring, Volume Weighted Average Price (VWAP) ribbons, and optional reversal signals, the script aims to give a detailed view of price activity in various market environments. 2. Overview This script begins with the calculation of a Hull Moving Average, a method that blends Weighted Moving Averages in a way designed to cut down on lag while still smoothing out price fluctuations. Next, several enhancements are applied. The script compares current HMA values to previous ones for slope-based coloring, which highlights uptrends and downtrends at a glance. It also plots buy and sell signals when price moves beyond or below thresholds determined by the ATR and the user’s chosen signal multiplier. An optional VWAP ribbon can be shown to confirm bullish or bearish conditions relative to a volume-weighted benchmark. Additionally, the script can plot reversal signals (labeled with B) at points where price crosses back toward the HMA from above or below. Taken together, these elements allow traders to visualize both the short-term momentum and the broader context of how price interacts with volatility and overall market direction. 3. Why These Indicators Have Been Linked Together The reason the Hull Moving Average, the Average True Range, and the VWAP have been integrated into one script is to tackle multiple facets of market analysis in a single tool. The Zero Lag Hull Moving Average provides a responsive trend line, the ATR offers a measure of volatility that helps distinguish significant price shifts from typical fluctuations, and the VWAP acts as a reference for fair value based on traded volume. By layering all three, the script helps traders avoid the need to juggle multiple separate indicators and offers a holistic perspective. The slope-based coloring focuses on trend direction, the ATR-based thresholds refine possible buy and sell zones, and the VWAP ribbons provide insight into how price stands relative to an important volume-weighted level. The inclusion of up and down signals and reversal B labels further refines entries and exits. 4. Why Use Uptrick: Zero Lag HMA Trend Suite The Hull Moving Average is already known for reacting more quickly to price changes compared to other moving averages while retaining a degree of smoothness. This suite enhances the basic HMA by showing colored gradients that make it easy to spot trend direction changes, highlighting potential entry or exit points based on volatility-driven thresholds, and optionally layering a volume-based measure of bullish or bearish market sentiment. By relying on a zero lag approach and additional data points, the script caters to those wanting a more responsive method of identifying shifts in market dynamics. The added reversal signals and up or down alerts give traders extra confirmation for potential turning points. 5. How This Extension Improves on the Basic HMA This extension not only plots the Hull Moving Average but also includes data-driven alerts and visual cues that traditional HMA lines do not provide. First, it offers multi-layered slope coloring, making up or down trends quickly apparent. Second, it uses ATR-based thresholds to pinpoint moments when price may be extending beyond normal volatility, thus generating buy or sell signals. Third, the script introduces an optional VWAP ribbon to indicate whether the market is trading above or below this pivotal volume-weighted benchmark, adding a further confirmation step for bullish or bearish conditions. Finally, it incorporates optional reversal signals labeled with B, indicating points where price might swing back toward the main HMA line. 6. Core Components The script can be broken down into several primary functions and features. a. Zero Lag HMA Calculation Uses two Weighted Moving Averages (half-length and full-length) combined through a smoothing step based on the square root of the chosen length. This approach is designed to reduce lag significantly compared to other moving averages. b. Slope Detection Compares current and prior HMA values to determine if the trend is up or down. The slope-based coloring changes between turquoise shades for upward movement and magenta shades for downward movement, making trend direction immediately visible. c. ATR-Based Thresholding for Up and Down Signals The script calculates an Average True Range over a user-defined period, then multiplies it by a signal factor to form two bands around the HMA. When price crosses below the lower band, an up (buy) signal appears; when it crosses above the upper band, a down (sell) signal is shown. d. Reversal Signals (B Labels) Tracks when price transitions back toward the main HMA from an extreme zone. When enabled, these reversal points are labeled with a B and can help traders see potential turning points or mean-reversion setups. e. VWAP Bands An optional Volume Weighted Average Price ribbon that plots above or below the HMA, indicating bullish or bearish conditions relative to a volume-weighted price benchmark. This can also act as a kind of support/ resistance. 7. User Inputs a. HMA Length Controls how quickly the moving average responds to price changes. Shorter lengths react faster but can lead to more frequent signals, whereas longer lengths produce smoother lines. b. Source Specifies the price input, such as close or an alternative source, for the calculation. This can help align the HMA with specific trading strategies. c. ATR Length and Signal Multiplier Defines how the script calculates average volatility and sets thresholds for buy or sell alerts. Adjusting these values can help filter out noise or highlight more aggressive signals. d. Slope Index Determines how many bars to look back for detecting slope direction, influencing how sensitive the slope coloring is to small fluctuations. e. Show Buy and Sell Signals, Reversal Signals, and VWAP Lets users toggle the display of these features. Turning off certain elements can reduce chart clutter if traders prefer a simpler layout. 8. Calculation Process The script’s calculation follows a step-by-step approach. It first computes two Weighted Moving Averages of the selected price source, one over half the specified length and one over the full length. It then combines these using 2*wma1 minus wma2 to reduce lag, followed by applying another weighted average using the square root of the length. Simultaneously, it computes the ATR for a user-defined period. By multiplying ATR by the signal multiplier, it establishes upper and lower bands around the HMA, where crossovers generate buy (up) or sell (down) signals. The script can also plot reversal signals (B labels) when price crosses back from these bands in the opposite direction. For the optional VWAP feature, Pine Script’s ta.vwap function is used, and differences between the HMA and VWAP levels determine the color and opacity of the ribbon. 9. Signal Generation and Filtering The ATR-based thresholds reduce the influence of small, inconsequential price swings. When price falls below the lower band, the script issues an up (buy) signal. If price breaks above the upper band, a down (sell) signal appears. These signals are visible through labels placed near the bars. Reversal signals, labeled with B, can be turned on to help detect when price retraces from an extended area back toward the main HMA line. Traders can disable or enable these signals to match their preferred level of chart detail or risk tolerance. 10. Visualization on the Chart The Zero HMA Lag Trend Suite aims for visual clarity. The HMA line is plotted multiple times with increasing transparency to create a gradient effect. Turquoise gradients indicate upward slopes, and magenta gradients signify downward slopes. Bar coloring can be configured to align with the slope direction, providing quick insight into current momentum. When enabled, buy or sell labels are placed under or above the bars as price crosses the ATR-defined boundaries. If the reversal option is active, B labels appear around areas where price changes direction. The optional VWAP ribbons form background bands, using distinct coloration to signal whether price is above or below the volume-weighted metric. 11. Market Adaptability Because the script’s parameters (HMA length, ATR length, signal multiplier, and slope index) are user-configurable, it can adapt to a wide range of markets and timeframes. Intraday traders may prefer a shorter HMA length for quick signals, while swing or position traders might use a longer HMA length to filter out short-lived price changes. The source setting can also be adjusted, allowing for specialized data inputs beyond just close or open values. 12. Risk Management Considerations The script’s signals and labels are based on past price data and volatility readings, and they do not guarantee profitable outcomes. Sharp market reversals or unforeseen fundamental events can produce false signals. Traders should combine this tool with broader risk management strategies, including stop-loss placement, position sizing, and independent market analyses. The Zero HMA Lag Trend Suite can help highlight potential opportunities, but it should not be relied upon as the sole basis for trade decisions. 13. Combining with Other Tools Many traders choose to verify signals from the Zero HMA Lag Trend Suite using popular indicators like the Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD), or even simple volume-based metrics to confirm whether a price movement has sufficient momentum. Conventional techniques such as support and resistance levels, chart patterns, or candlestick analysis can also supplement signals generated by the script’s up, down, or reversal B labels. 14. Parameter Customization and Examples a. Short-Term Day Trading Using a shorter HMA length (for instance, 9 or 14) and a slightly higher ATR multiplier might provide timely buy and sell signals, though it may also produce more whipsaws in choppy markets. b. Swing or Position Trading Selecting a longer HMA length (such as 50 or 100) with a moderate ATR multiplier can help users track more significant and sustained market moves, potentially reducing the effect of minor fluctuations. c. Multiple Timeframe Blends Some traders load two versions of the indicator on the same chart, one for short-term signals (with frequent B label reversals) and another for the broader trend direction, aligning entry and exit decisions with the bigger picture. 15. Realistic Expectations Even though the Hull Moving Average helps minimize lag and the script incorporates volatility-based filters and optional VWAP overlays, it cannot predict future market behavior with complete accuracy. Periods of low liquidity or sudden market shocks can still lead to signals that do not reflect longer-term trends. Frequent parameter review and manual confirmation are advised before executing trades based solely on the script’s outputs. 16. Theoretical Background The Hull Moving Average formula aims to balance smoothness with reactivity, accomplished by combining Weighted Moving Averages at varying lengths. By subtracting a slower average from a faster one and then applying another smoothing step with the square root of the original length, the HMA is designed to respond more promptly to price changes than typical exponential or simple moving averages. The ATR component, introduced by J. Welles Wilder, calculates the average range of price movement over a user-defined period, allowing the script to assess volatility and adapt signals accordingly. VWAP provides a volume-weighted benchmark that many institutional traders track to gauge fair intraday value. 17. Originality and Uniqueness Although multiple HMA-based indicators can be found, Uptrick: Zero Lag HMA Trend Suite sets itself apart by merging slope-based coloring, ATR thresholds, VWAP ribbons, up or down labels, and optional reversal signals all in one cohesive platform. This synergy aims to reduce chart clutter while still giving traders a comprehensive look at trend direction, volatility, and volume-based sentiment. 18. Summary Uptrick: Zero Lag HMA Trend Suite is a specialized trading script designed to highlight potential market trends and reversals with minimal delay. It leverages the Hull Moving Average for an adaptive yet smooth price line, pairs ATR-based thresholds for detecting possible breakouts or dips, and provides VWAP-based ribbons for added volume-weighted context. Traders can further refine their entries and exits by enabling up or down signals and reversal labels (B) where price may revert toward the HMA. Suitable for a wide range of timeframes and instrument types, the script encourages a disciplined approach to trade management and risk control. 19. Disclaimer This script is provided for informational and educational purposes only. Trading and investing involve significant financial risk, and no indicator can guarantee success under all conditions. Users should practice robust risk management, including the placement of stop losses and position sizing, and should confirm signals with additional analysis tools. The developer of this script assumes no liability for any trading decisions or outcomes resulting from its use.
Indicatore Pine Script®
di Uptrick
14
Timed Ranges [mktrader]The Timed Ranges indicator helps visualize price ranges that develop during specific time periods. It's particularly useful for analyzing market behavior in instruments like NASDAQ, S&P 500, and Dow Jones, which often show reactions to sweeps of previous ranges and form reversals. ### Key Features - Visualizes time-based ranges with customizable lengths (30 minutes, 90 minutes, etc.) - Tracks high/low range development within specified time periods - Shows multiple cycles per day for pattern recognition - Supports historical analysis across multiple days ### Parameters #### Settings - **First Cycle (HHMM-HHMM)**: Define the time range of your first cycle. The duration of this range determines the length of all subsequent cycles (e.g., "0930-1000" creates 30-minute cycles) - **Number of Cycles per Day**: How many consecutive cycles to display after the first cycle (1-20) - **Maximum Days to Display**: Number of historical days to show the ranges for (1-50) - **Timezone**: Select the appropriate timezone for your analysis #### Style - **Box Transparency**: Adjust the transparency of the range boxes (0-100) ### Usage Example To track 30-minute ranges starting at market open: 1. Set First Cycle to "0930-1000" (creates 30-minute cycles) 2. Set Number of Cycles to 5 (will show ranges until 11:30) 3. The indicator will display: - Range development during each 30-minute period - Visual progression of highs and lows - Color-coded cycles for easy distinction ### Use Cases - Identify potential reversal points after range sweeps - Track regular time-based support and resistance levels - Analyze market structure within specific time windows - Monitor range expansions and contractions during key market hours ### Tips - Use in conjunction with volume analysis for better confirmation - Pay attention to breaks and sweeps of previous ranges - Consider market opens and key session times when setting cycles - Compare range sizes across different time periods for volatility analysis
Indicatore Pine Script®
di mktradermmxm
The Final Countdown//Credit to ©SamRecio for the original indicator that this is based on, which is called, "HTF Bar Close Countdown". Here are the key differences between the two indicators (That a user would care about): 1.) 10 timeframe slots (double the original number). 2.) Many more timeframe options ('1', '3', '5', '10', '15', '30', '45', '1H', '2H', '4H', '6H', '8H', '12H', 'D', 'W'). 3.) Ability to structure timeframes however you want (Higher up top descending, vice versa, or just randomly.). 4.) Support for hour-based timeframes (1H, 2H, etc.). 5.) Displays minutes as numbers, hours with a number followed by H (ex. 1H), and anything above with a letter (D for day, W for week). 6.) Dynamic colors based on remaining time percentage (green->yellow->red) with two user-defined thresholds. 7.) Alerts for when timeframes are close to closing (yellow->red). 8.) More granular timeframe selection options. 9.) Background colors for an additional visual alert. ------Colors background the selected color for each timeframe (Default is all timeframes are blue with 80% transparency). ------This does not repaint, so the color will persist once the red condition is over. ------As soon as you leave the timeframe though, it will be erased and the new timeframe will begin tracking red conditions. ------It always starts from the current bar, so it is not applicable to historical bars unless you leave it running for an extended period of time. ------Do note that since this is not actual paint or colored pencils, the colors do not blend. ------The most recent timeframe to enter a red condition will be the background that you see unless you leave the timeframe and return. -------------------------------------------------------------------------------------------------------------------- Now for the description and instructions.... IT'S THE FINAL COUNTDOWN! This indicator helps shorter-timeframe traders track multiple timeframe closings simultaneously, providing visual, audio and notification alerts when bars are nearing their close. It's particularly useful for traders who want to prepare for potential price action around bar closings across different timeframes. If you're a HODL till you're broke kind of trader, you don't need this. ------------------------------- Multi-Timeframe Tracking ------------------------------- - Monitors up to 10 different timeframes simultaneously - Supports various timeframes from 1 minute to weekly (1m, 3m, 5m, 10m, 15m, 30m, 45m, 1H, 2H, 4H, 6H, 8H, 12H, Daily, Weekly) - Timeframes can be arranged in any order (ascending, descending, or custom) ----------------- Visual Display ----------------- - Shows a countdown timer for each selected timeframe - Dynamic color changes based on time remaining: Green: More than 15% of bar time remaining Yellow: Between 15% and 5% remaining Red: Less than 5% remaining - Customizable background colors appear when timeframes enter their red zone ---------------- Alert System ---------------- - Built-in alerts trigger when any timeframe enters its red zone - Each timeframe can have its alerts toggled independently ------ ------------- -------------------------- - Setup Instructions - -------------------------- ------------- ------ ------------------------- Timeframe Selection ------------------------- - Choose up to 10 timeframes to monitor - Each timeframe has its own toggle switch to turn it on/off - Default configuration starts from 5m and goes up to 12H ------------------------- Visual Customization ------------------------- - Adjust the table size, position - Customize frame and border colors - Modify the yellow and red threshold percentages -------------------------------- Background Color Settings -------------------------------- - Enable/disable background colors for each timeframe - Choose custom colors for each timeframe's background - Default setting is blue (with a fixed 80% transparency) ------------- Usage Tips ------------- - Use the countdown table to prepare for multiple timeframe closes as big moves (especially reversals) tend to begin come after higher timeframe changes (sometimes to the second). - Watch for color changes to anticipate important closing periods to avoid getting trapped in bad trade (please always use stop losses if trading, in general). - Set up alerts for critical timeframes that require immediate attention (2H, 4H, etc.). - Use background colors as an additional visual cue for timeframe closes. - Position the table where it won't interfere with your chart analysis.
Indicatore Pine Script®
di Sherlock_MacGyver
8
FuTech : IPO Lock-in Ends FuTech: Lock-in Ends - First ever unique Indicator on the TradingView platform Hello Everyone ! Introducing the first-ever unique indicator on the TradingView platform to track the lock-in period expiry dates for IPOs. The FuTech Lock-in Ends Indicator is specifically designed to assist traders and investors in identifying the key dates when lock-in periods for IPO shares come to an end. This provides an edge in preparing for potential market movements driven by buying or selling pressures associated with significant share volumes. ============================================================= Key Features: 1. Tracks Multiple Lock-in Periods: - Identifies dates when the 30 days, 90 days, 6 months, and 18 months lock-in periods for IPO shares expire. - Helps traders anticipate potential market action driven by share releases. 2. IPO Lock-in Ends dates as per Compliance with SEBI Guidelines: - SEBI (Securities and Exchange Board of India) mandates lock-in periods for IPO shares based on investor categories: - A) Promoters: - Lock-in period reduced to 18 months for up to 20% of post-issue paid-up capital (previously 3 years). - For shareholding exceeding 20%, the lock-in period is further reduced to 6 months (previously 1 year). - B) Anchor Investors: - 50% of allotted shares: Lock-in period of 90 days from the date of allotment. - Remaining 50% of shares: Lock-in period of 30 days from the date of allotment. - C) Non-promoters: - Lock-in period reduced to 6 months (previously 1 year). After these lock-in periods end, investors may buy / sell their shares, which can result in significant market activity. 3. Visual Indicator on Charts: - The indicator draws vertical lines on the TradingView chart at the respective lock-in expiry dates. - Alerts users in advance about potential market activity due to the release of locked shares. - Traders can use these alerts to prepare for positions or adjust their existing holdings accordingly. 4. Customizable Settings: - Users can modify the color of the labels and width of the lines to suit their preferences and enhance chart visibility. 5. User-defined Allotment Dates: - If the allotment date is known, users can input this information directly. The indicator will then calculate the lock-in period dates based on the provided allotment date, ensuring precise results. - If no allotment date is entered, the default calculation assumes the allotment date to be three trading days prior to the listing date . ============================================================= Important Notes: - Allotment Date Calculation: - In the absence of user-defined allotment dates, the indicator estimates the allotment date as three trading days prior to the listing date . - This approximation may deviate by one to two days from the actual event for certain IPOs. - Proactive Alerts: - Most dates are intentionally marked 1-2 days in advance to give traders sufficient time to act, whether for taking new positions or squaring off existing ones to avoid unfavorable losses. ============================================================= The FuTech Lock-in Ends Indicator is a must-have tool for IPO traders and investors looking to stay ahead of market movements. Use it to track key dates and plan your trading strategy effectively with FuTech : Chart is Art. ============================================================= Thank you ! Jai Swaminarayan Dasna Das ! He Hari ! Bas Ek Tu Raji Tha !
Indicatore Pine Script®
di Atmiya_aatubhai
20/50 SMA Cross 200 SMAThis Pine Script code is designed to identify and visualize crossovers of two shorter-term Simple Moving Averages (SMAs), a 20-period SMA and a 50-period SMA, with a longer-term 200-period SMA on a price chart. It also includes alerts for these crossover events. Here's a breakdown: **Purpose:** The core idea behind this script is to detect potential trend changes. Crossovers of shorter-term moving averages over a longer-term moving average are often interpreted as bullish signals, while crossovers below are considered bearish. **Key Components:** 1. **Moving Average Calculation:** * `sma20 = ta.sma(close, 20)`: Calculates the 20-period SMA of the closing price. * `sma50 = ta.sma(close, 50)`: Calculates the 50-period SMA of the closing price. * `sma200 = ta.sma(close, 200)`: Calculates the 200-period SMA of the closing price. 2. **Crossover Detection:** * `crossUp20 = ta.crossover(sma20, sma200)`: Returns `true` when the 20-period SMA crosses above the 200-period SMA. * `crossDown20 = ta.crossunder(sma20, sma200)`: Returns `true` when the 20-period SMA crosses below the 200-period SMA. * Similar logic applies for `crossUp50` and `crossDown50` with the 50-period SMA. 3. **Recent Crossover Tracking (Crucial Improvement):** * `lookback = 7`: Defines a lookback period of 7 bars. * `var bool hasCrossedUp20 = false`, etc.: Declares `var` (persistent) boolean variables to track if a crossover has occurred *within* the last 7 bars. This is the most important correction from previous versions. * The logic using `ta.barssince()` is the key: * If a crossover happens (`crossUp20` is true), the corresponding `hasCrossedUp20` is set to `true`. * If no crossover happens on the current bar, it checks if a crossover happened within the last 7 bars using `ta.barssince(crossUp20) <= lookback`. If so, it keeps `hasCrossedUp20` as `true`. After 7 bars, it becomes `false`. 4. **Plotting Crossovers:** * `plotshape(...)`: Plots circles on the chart to visually mark the crossovers. * Green circles below the bars for bullish crossovers (20 and 50). * Red circles above the bars for bearish crossovers (20 and 50). * Different shades of green/red (green/lime, red/maroon) distinguish between 20 and 50 SMA crossovers. 5. **Plotting Moving Averages (Optional but Helpful):** * `plot(sma20, color=color.blue, linewidth=1)`: Plots the 20-period SMA in blue. * Similar logic for the 50-period SMA (orange) and 200-period SMA (gray). 6. **Alerts:** * `alertcondition(...)`: Triggers alerts when crossovers occur. This is essential for real-time trading signals. **How it Works (in Simple Terms):** The script continuously calculates the 20, 50, and 200 SMAs. It then monitors for instances where the 20 or 50 SMA crosses the 200 SMA. When such a crossover happens, a colored circle is plotted on the chart, and an alert is triggered. The key improvement is that it remembers if a crossover occurred in the last 7 bars and continues to display the circle during that period. **Use Case:** Traders use this type of indicator to identify potential entry and exit points in the market. A bullish crossover (shorter SMA crossing above the longer SMA) might be a signal to buy, while a bearish crossover might be a signal to sell. **Key Improvements over Previous Versions:** * **Correct Lookback Implementation:** The use of `ta.barssince()` and `var` variables is the correct and efficient way to check for crossovers within a lookback period. This fixes the major flaw in earlier versions. * **Clear Visualizations:** The use of `plotshape` with distinct colors makes it easy to distinguish between 20 and 50 SMA crossovers. * **Alerts:** The inclusion of alerts makes the script much more practical for real-time trading. This improved version provides a robust and useful tool for identifying and tracking SMA crossovers.
Indicatore Pine Script®
di 1680bdb8dabe49f29e9c0ab1e3b4c6
Nifty Top Gainers/Losers [ar]Nifty Top Gainers/Losers - Real-time Market Performance Tracker A powerful indicator that monitors and displays real-time performance of 40 major Nifty stocks in a clean, organized table format. Perfect for traders seeking instant market breadth insights. Key Features: • Dynamic advances/declines counter at the top • Real-time percentage change calculations • Color-coded display (green for gainers, red for losers) • Customizable reference points (Previous Day Close/Today's Open) • Optional background color based on market breadth • Flexible top gainers/losers limit setting Customization Options: - Adjust colors for gainers and losers - Set transparency for background - Modify the number of top performers to display - Add/remove symbols from the watchlist - Choose calculation reference (Previous Day Close/Today's Open) Ideal for: - Day traders monitoring market momentum - Investors tracking sector rotation - Analysts studying market breadth - Portfolio managers seeking quick market overview This indicator helps identify market leaders and laggards at a glance, making it an essential tool for informed trading decisions.
Indicatore Pine Script®
di anupamram
15
Target Trend [BigBeluga]The Target Trend indicator is a trend-following tool designed to assist traders in capturing directional moves while managing entry, stop loss, and profit targets visually on the chart. Using adaptive SMA bands as the core trend detection method, this indicator dynamically identifies shifts in trend direction and provides structured exit points through customizable target levels. SP500: 🔵 IDEA The Target Trend indicator’s concept is to simplify trade management by providing automated visual cues for entries, stops, and targets directly on the chart. When a trend change is detected, the indicator prints an up or down triangle to signal entry direction, plots three customizable target levels for potential exits, and calculates a stop-loss level below or above the entry point. The indicator continuously adapts as price moves, making it easier for traders to follow and manage trades in real time. When price crosses a target level, the label changes to a check mark, confirming that the target has been achieved. Similarly, if the stop-loss level is hit, the label changes to an "X," and the line becomes dashed, indicating that the stop loss has been activated. This feature provides traders with a clear visual trail of whether their targets or stop loss have been hit, allowing for easier trade tracking and exit strategy management. 🔵 KEY FEATURES & USAGE SMA Bands for Trend Detection: The indicator uses adaptive SMA bands to identify the trend direction. When price crosses above or below these bands, a new trend is detected, triggering entry signals. The entry point is marked on the chart with a triangle symbol, which updates with each new trend change. Automated Targets and Stop Loss Management: Upon a new trend signal, the indicator automatically plots three price targets and a stop loss level. These levels provide traders with structured exit points for potential gains and a clear risk limit. The stop loss is placed below or above the entry point, depending on the trend direction, to manage downside risk effectively. Visual Target and Stop Loss Validation: As price hits each target, the label beside the level updates to a check mark, indicating that the target has been reached. Similarly, if the stop loss is activated, the stop loss label changes to an "X," and the line becomes dashed. This feature visually confirms whether targets or stop losses are hit, simplifying trade management. The indicator also marks the entry price at each trend change with a label on the chart, allowing traders to quickly see their initial entry point relative to current price and target levels. 🔵 CUSTOMIZATION Trend Length: Set the lookback period for the trend-detection SMA bands to adjust the sensitivity to trend changes. Targets Setting: Customize the number and spacing of the targets to fit your trading style and market conditions. Visual Styles: Adjust the appearance of labels, lines, and symbols on the chart for a clearer view and personalized layout. 🔵 CONCLUSION The Target Trend indicator offers a streamlined approach to trend trading by integrating entry, target, and stop loss management into a single visual tool. With automatic tracking of target levels and stop loss hits, it helps traders stay focused on the current trend while keeping track of risk and reward with minimal effort.
Indicatore Pine Script®
di BigBeluga
74
Session High Low 2024 Overview of the Code: Input for Session Times: You set up inputs for the start and end times of the trading session, allowing you to customize them as needed. Time Range Function: A function isTimeInRange checks whether the current time falls within the specified session start and end times. initialize High and Low: indicator initialize session high, low, and their corresponding labels and lines. Tracking Session High and Low: Within the specified time range, continuously update session1High and session1Low based on the highest and lowest prices encountered. Time of Session High/Low: The High_Time and Low_Time are tracked using the ta.valuewhen() function to capture the exact times when the session high and low occur. Notes Creation: You format the high and low values along with their timestamps to create notes that will be displayed alongside the lines. Drawing Lines and Labels: After the session ends, you check if there is a new session high or low and draw lines and labels accordingly. If a line or label already exists, you delete it before drawing a new one. Resetting for Next Session: At the end of the session, the high and low values are reset for the next session. Suggestions for Improvement: Dynamic Line Extensions: Clear Variable Names Used in Code: Consider using more descriptive names for variables like Entry_Point and SL_Point to make the code easier to understand. Commenting: Although the code is well-commented, always ensure the comments explain the "why" behind the code rather than just the "what." Example Output: The output will show the highest and lowest prices during the specified session times and the times they occurred formatted correctly. This output is useful for quick reference during trading and aids in making informed decisions. Added functionality tool tip Note: Added a tooltip Note to Get All information of Session High Low & Range. If you need further modifications, enhancements, or specific functionalities added to this script, please let me know!
Indicatore Pine Script®
di dixitsoham7
Digital Clock with Market Status and AlertsDigital Clock with Market Status and Alerts - 日本語解説は下記 Overview: The Digital Clock with Market Status and Alerts indicator is designed to display the current time in various global time zones while also providing the status of major financial markets such as Tokyo, London, and New York. This indicator helps traders monitor the open and close times of different markets and alerts them when a market opens. Customizable options are provided for table positioning, background, text colors, and font size. Key Features: Real-Time Digital Clock: The indicator shows the current time in your selected time zone (Asia/Tokyo, America/New_York, Europe/London, Australia/Sydney). The time updates in real-time and includes hours, minutes, and seconds, providing a convenient and accurate way to monitor time across different trading sessions. Global Market Status: Displays the open or closed status of major financial markets. ・Tokyo Market: Open from 9:00 AM to 3:00 PM (JST). ・London Market: Open from 16:00 to 24:00 during summer time and from 17:00 to 1:00 during winter time (JST). ・New York Market: Open from 21:00 to 5:00 during summer time and from 22:00 to 6:00 during winter time (JST). Customizable Display: ・Background Color: The indicator allows you to set the background color for the clock display, while the leftmost empty cell can be independently customized with its own background color for table alignment. ・Clock and Market Status Colors: Separate color options are available for the clock text, market status during open, and market status during closed periods. ・Text Size: You can adjust the size of the text (small, normal, large) to fit your preferences. ・Table Position: You can position the digital clock and market status table in different locations on the chart: top left, top center, top right, bottom left, bottom center, and bottom right. Alerts for Market Opening: The indicator will trigger alerts when a market (Tokyo, London, or New York) opens, notifying traders in real-time. This can help ensure that you don't miss any important market openings. How to Use: Setup: Apply the Indicator: Add the Digital Clock with Market Status and Alerts indicator to your chart. Customize the time zone, text size, background colors, and table position based on your preferences. Monitor Market Status: Watch the market status displayed for Tokyo, London, and New York to keep track of market openings and closings in real-time. Receive Alerts: The indicator provides built-in alerts for market openings, helping you stay informed when a key market opens for trading. Time Monitoring: ・Real-Time Clock: The current time is displayed with hours, minutes, and seconds for accurate tracking. The clock updates every second and reflects the selected time zone. ・Global Time Zones: Choose your desired time zone (Tokyo, New York, London, Sydney) to monitor the time most relevant to your trading strategy. Market Status: ・Tokyo Market: The status will display "Tokyo OPEN" when the Tokyo market is active, and "Tokyo CLOSED" when it is outside of trading hours. ・London Market: Similarly, the indicator will show "London OPEN" or "London CLOSED" depending on whether the London market is currently active. ・New York Market: The New York market status follows the same structure, showing "NY OPEN" or "NY CLOSED." Customization: ・Table Positioning: Easily move the table to the desired location on the chart to avoid overlap with other chart elements. The leftmost empty cell helps with alignment. ・Text and Background Color: Adjust the text and background colors to suit your personal preferences. You can also set independent colors for open and closed market statuses to easily distinguish between them. Cautions and Disclaimer: ・Indicator Modifications: This indicator may be updated without prior notice, which could change or remove certain features. ・Trade Responsibility: This indicator is a tool to assist your trading, but responsibility for all trades remains with you. No guarantee of profit or success is implied, and losses can occur. Use it alongside your own analysis and strategy. Digital Clock with Market Status and Alerts - 解説と使い方 概要: Digital Clock with Market Status and Alerts インジケーターは、さまざまな世界のタイムゾーンで現在の時刻を表示し、東京、ロンドン、ニューヨークなどの主要な金融市場のステータスを提供します。このインジケーターにより、複数の市場のオープンおよびクローズ時間をリアルタイムで監視でき、市場がオープンする際にアラートを受け取ることができます。テーブルの位置、背景色、テキストカラー、フォントサイズなどのカスタマイズが可能です。 主な機能: リアルタイムデジタル時計: 選択したタイムゾーン（東京、ニューヨーク、ロンドン、シドニー）の現在時刻を表示します。リアルタイムで更新され、時間、分、秒を正確に表示します。 世界の市場ステータス: 主要な金融市場のオープン/クローズ状況を表示します。 ・東京市場: 午前9時～午後3時（日本時間）。 ・ロンドン市場: 夏時間では16時～24時、冬時間では17時～1時（日本時間）。 ・ニューヨーク市場: 夏時間では21時～5時、冬時間では22時～6時（日本時間）。 カスタマイズ可能な表示設定: ・背景色: 時計表示の背景色を設定できます。また、テーブルの左側に空白のセルを配置し、独立した背景色を設定することでテーブルの配置調整が可能です。 ・時計と市場ステータスの色: 時計テキスト、オープン市場、クローズ市場の色を個別に設定できます。 ・テキストサイズ: 小、標準、大から選択し、テキストサイズをカスタマイズ可能です。 ・テーブル位置: デジタル時計と市場ステータスのテーブルをチャートのさまざまな場所（左上、中央上、右上、左下、中央下、右下）に配置できます。 市場オープン時のアラート: 市場（東京、ロンドン、ニューヨーク）がオープンするときにアラートを発し、リアルタイムで通知されます。これにより、重要な市場のオープン時間を逃さないようサポートします。 使い方: セットアップ: インジケーターを適用: チャートに「Digital Clock with Market Status and Alerts」インジケーターを追加し、タイムゾーン、テキストサイズ、背景色、テーブル位置を好みに応じてカスタマイズします。 市場ステータスを確認: 東京、ロンドン、ニューヨークの市場ステータスをリアルタイムで表示し、オープン/クローズ時間を把握できます。 アラートを受け取る: 市場オープン時のアラート機能により、重要な市場のオープンを見逃さないように通知が届きます。 時間管理: ・リアルタイム時計: 現在の時刻が秒単位で表示され、選択したタイムゾーンに基づいて正確に追跡できます。 ・グローバルタイムゾーン: 東京、ニューヨーク、ロンドン、シドニーなど、トレードに関連するタイムゾーンを選択して監視できます。 市場ステータス: ・東京市場: 東京市場が開いていると「Tokyo OPEN」と表示され、閉じている場合は「Tokyo CLOSED」と表示されます。 ・ロンドン市場: 同様に、「London OPEN」または「London CLOSED」が表示され、ロンドン市場のステータスを確認できます。 ・ニューヨーク市場: ニューヨーク市場も「NY OPEN」または「NY CLOSED」で現在の状況が表示されます。 カスタマイズ: ・テーブル位置の調整: テーブルの位置を簡単に調整し、チャート上の他の要素と重ならないように配置できます。左側の空白セルで位置調整が可能です。 ・テキストと背景色のカスタマイズ: テキストと背景の色を自分の好みに合わせて調整できます。また、オープン時とクローズ時の市場ステータスを区別するため、独立した色設定が可能です。 注意事項と免責事項: ・インジケーターの変更: このインジケーターは、予告なく変更や機能の削除が行われる場合があります。 ・トレード責任: このインジケーターはトレードをサポートするツールであり、トレードに関する全責任はご自身にあります。利益を保証するものではなく、損失が発生する可能性があります。自分の分析や戦略と組み合わせて使用してください。
Indicatore Pine Script®
di you_222
Cumulative Gain/Loss Histogram This TradingView Pine Script indicator combines several analytical tools to assist traders in making informed investment decisions. It calculates and visualizes cumulative gain/loss percentage, standard deviation levels, and normalizes trading volume on a reversed scale. Components: Basis for Calculation: Users can select the basis data for the calculations: Price, VIX (Volatility Index), VVIX (Volatility of Volatility Index), or MOVE (Volatility Index for Treasury Securities). Cumulative Gain/Loss: This is computed based on the selected basis. The script tracks the cumulative percentage change in the selected basis data. Positive changes are aggregated to track gains, while negative changes accumulate to track losses. Standard Deviation Levels: The script calculates standard deviation (StdDev) for the cumulative gain/loss data over a specified period. Two levels are determined: Positive StdDev Level: Shows the upper threshold for gains. Negative StdDev Level: Shows the lower threshold for losses. These levels are useful for identifying extreme deviations in the data. Normalized Volume: The trading volume is normalized to fit within a -5 to 5 scale, but the scale is reversed. Higher trading volumes will be represented by lower values on this scale. This normalized volume is plotted as a gray line on the chart. How to Use This Indicator: Identify Trends and Extremes: Cumulative Gain/Loss: Look for periods where the cumulative gain/loss exceeds the standard deviation levels. This can indicate significant trend changes or potential reversals. Standard Deviation Levels: Use these levels to gauge whether the market is experiencing extreme conditions. For example, if the cumulative gain/loss crosses above the positive StdDev level, it might suggest an overbought condition. Volume Analysis: Normalized Volume: Analyze the volume trends with the reversed scale. Higher normalized volume values (which are lower on the -5 to 5 scale) could indicate high trading activity or market interest, potentially signaling a strong move or trend. Conversely, lower normalized volume values (which are higher on the -5 to 5 scale) may suggest lower trading activity or consolidation. Decision-Making: Combine the insights from cumulative gain/loss and standard deviation levels with volume analysis to make more informed trading decisions. Buy Signal: Consider entering a position when the cumulative gain/loss reaches or exceeds the negative StdDev level and volume analysis supports increased market activity. Sell Signal: Consider exiting a position when the cumulative gain/loss exceeds the positive StdDev level, indicating possible overbought conditions, especially if volume trends also align with the potential reversal. Summary: This script is designed to help traders understand market dynamics through cumulative gain/loss trends, standard deviation thresholds, and volume analysis. By interpreting these elements together, traders can identify potential trading opportunities and make more informed decisions based on market conditions and trends.
Indicatore Pine Script®
di EdgeTools
Uptrick: Bullish/Bearish Signal DetectorDetailed Explanation of the "Uptrick: Bullish/Bearish Signal Detector" Script The "Uptrick: Bullish/Bearish Signal Detector" script is a sophisticated tool designed for the TradingView platform, leveraging Pine Script version 5. This script is crafted to enhance traders' ability to identify bullish (buy) and bearish (sell) signals directly on their trading charts. By combining the power of the MACD (Moving Average Convergence Divergence) and RSI (Relative Strength Index) indicators, this script provides a unique and efficient method for detecting potential trading opportunities. Below is an in-depth exploration of its purpose, features, and functionality. Purpose The primary purpose of this script is to assist traders in identifying potential entry and exit points in the market by signaling bullish and bearish conditions. This automated detection helps traders make more informed decisions without the need to manually analyze complex indicators. By overlaying signals directly on the price chart, the script allows for quick visual identification of market trends and reversals. Uniqueness What sets this script apart is its dual use of MACD and RSI indicators. While many trading strategies might rely on a single indicator, combining MACD and RSI enhances the reliability of the signals by filtering out false positives. The script not only identifies trends but also adds a layer of confirmation through the RSI, which measures the speed and change of price movements. Inputs and Features Customizable Label Appearance: The script allows users to customize the appearance of the labels that indicate bullish and bearish signals. Users can set their preferred colors for the labels and the text, ensuring that the signals are easily distinguishable and aesthetically pleasing on their charts. MACD Calculation: The script calculates the MACD line and signal line using user-defined input values for the fast length, slow length, and signal length. The MACD histogram, which is the difference between the MACD line and the signal line, is used to determine the momentum of the market. RSI Calculation: The RSI is calculated using a user-defined input length. The RSI helps in identifying overbought or oversold conditions, which are crucial for confirming the strength of the trend detected by the MACD. Bullish and Bearish Conditions: The script defines bullish conditions as those where the MACD histogram is positive and the RSI is above 50. Bearish conditions are defined where the MACD histogram is negative and the RSI is below 50. This combination of conditions ensures that signals are generated based on both momentum and relative strength, reducing the likelihood of false signals. Label Plotting: The script plots labels on the chart to indicate bullish and bearish signals. When a bullish condition is met, and the previous signal was not bullish, a "LONG" label is plotted. Similarly, when a bearish condition is met, and the previous signal was not bearish, a "SHORT" label is plotted. This feature helps in clearly marking the points of interest for traders, making it easier to spot potential trades. Tracking Previous Signals: To avoid repetitive signals, the script keeps track of the last signal. If the last signal was bullish, it avoids plotting another bullish signal immediately. The same logic applies to bearish signals. This tracking ensures that signals are spaced out and only significant changes in market conditions are highlighted. How It Works The script operates in a loop, processing each bar (or candlestick) on the chart as new data comes in. It calculates the MACD and RSI values for each bar and checks if the current conditions meet the criteria for a bullish or bearish signal. If a signal is detected and it is different from the last signal, a label is plotted on the chart at the current bar's price level. This real-time processing allows traders to see the signals as they form, providing timely insights into market movements. Practical Application For practical use, a trader would add this script to their TradingView chart. They can customize the input parameters for the MACD and RSI calculations to fit their trading strategy or preferred settings. Once added, the script will automatically analyze the price data and start plotting "LONG" and "SHORT" labels based on the detected signals. Traders can then use these labels to make decisions on entering or exiting trades, adjusting their strategy as necessary based on the signals provided. Conclusion The "Uptrick: Bullish/Bearish Signal Detector" script is a powerful tool for any trader looking to leverage technical indicators for better trading decisions. By combining MACD and RSI, it offers a robust method for detecting market trends and potential reversals. The customizable features and real-time signal plotting make it a versatile and user-friendly addition to any trading toolkit. This script not only simplifies the process of technical analysis but also enhances the accuracy of trading signals, thereby potentially increasing the trader's success rate in the market.
Indicatore Pine Script®
di Uptrick
4
ATH Distance HeatmapThe "ATH Distance Heatmap" is a powerful visualization tool designed for traders and investors who seek to quickly assess the relative performance of assets against their All-Time Highs (ATH). By mapping the percentage distance of current prices from their historical peaks, this script provides a unique perspective on market sentiment, potential recovery opportunities, and overvaluation risks. Key Features: Visual Clarity: Utilize a color-coded heatmap to instantly recognize which assets are near or far from their ATHs. Colors transition smoothly from cool to warm tones, indicating smaller to larger distances respectively. Real-Time Updates: The script updates dynamically with live market data, ensuring you have the most current information at your fingertips. Versatile Application: Whether you're tracking stocks, cryptocurrencies, commodities, or indices, the "ATH Distance Heatmap" adapts to a wide array of assets, making it a versatile tool for your trading arsenal. Insightful Analysis: Beyond mere visualization, this tool can help identify potential buying opportunities in assets that are significantly below their ATHs, or highlight caution for those nearing their peaks. How to Use: Configure Your Assets: Start by selecting the assets you wish to track. The script can be customized to monitor a broad market range or a specific segment. Interpret the Colors: Use the color gradient to gauge the distance of each asset from its ATH. Cooler colors indicate assets closer to their ATH, while warmer colors highlight those further away. Ideal for: Traders looking for a quick visual guide to market trends and asset performance. Investors aiming to capitalize on recovery opportunities or to evaluate entry and exit points. Market analysts interested in a concise overview of asset health relative to historical performance.
Indicatore Pine Script®
di kriswaters
1
FlexiSuperTrend - Strategy [presentTrading]█ Introduction and How it is Different The "FlexiSuperTrend - Strategy" by PresentTrading is a cutting-edge trading strategy that redefines market analysis through the integration of the SuperTrend indicator and advanced variance tracking. BTC 6H L/S This strategy stands apart from conventional methods by its dynamic adaptability, capturing market trends and momentum shifts with increased sensitivity. It's designed for traders seeking a more responsive tool to navigate complex market movements. Local █ Strategy, How It Works: Detailed Explanation The "FlexiSuperTrend - Strategy" employs a multifaceted approach, combining the adaptability of the SuperTrend indicator with variance tracking. The strategy's core lies in its unique formulation and application of these components: 🔶 SuperTrend Polyfactor Oscillator: - Basic Concept: The oscillator is a series of SuperTrend calculations with varying ATR lengths and multipliers. This approach provides a broader and more nuanced perspective of market trends. - Calculation: - For each iteration, `i`, the SuperTrend is calculated using: - `ATR Length = indicatorLength * (startingFactor + i * incrementFactor)`. - `Multiplier = dynamically adjusted based on market conditions`. - The SuperTrend output for each iteration is compared with the indicator source (like hlc3), and the deviation is recorded. SuperTrend Calculation: - `Upper Band (UB) = hl2 + (ATR Length * Multiplier)` - `Lower Band (LB) = hl2 - (ATR Length * Multiplier)` - Where `hl2` is the average of high and low prices. Deviation Calculation: - `Deviation = indicatorSource - SuperTrend Value` - This value is calculated for each SuperTrend setting in the oscillator series. 🔶 Indicator Source (`hlc3`): - **Usage:** The strategy uses the average of high, low, and close prices, providing a balanced representation of market activity. 🔶 Adaptive ATR Lengths and Factors: - Dynamic Adjustment: The strategy adjusts the ATR length and multiplier based on the `startingFactor` and `incrementFactor`. This adaptability is key in responding to changing market volatilities. - Equation: ATR Length at each iteration `i` is given by `len = indicatorLength * (startingFactor + i * incrementFactor)`. incrementFactor - 1 incrementFactor - 2 🔶 Normalization Methods: Purpose: To standardize the deviations for comparability. - Methods: - 'Max-Min': Scales the deviation based on the range of values. - 'Absolute Sum': Uses the sum of absolute deviations for normalization. Normalization 'Absolute Sum' - For 'Max-Min': `Normalized Deviation = (Deviation - Min(Deviations)) / (Max(Deviations) - Min(Deviations))` - For 'Absolute Sum': `Normalized Deviation = Deviation / Sum(Absolute(Deviations))` 🔶 Trading Logic: The strategy integrates the SuperTrend indicator, renowned for its effectiveness in identifying trend direction and reversals. The SuperTrend's incorporation enhances the strategy's ability to filter out false signals and confirm genuine market trends. * The SuperTrend Toolkit is made by @QuantiLuxe - Long Entry Conditions: A buy signal is generated when the current trend, as indicated by the SuperTrend Polyfactor Oscillator, turns positive. - Short Entry Conditions: A sell signal is triggered when the current trend turns negative. - Entry and Exit Strategy: The strategy opens or closes positions based on these signals, aligning with the selected trade direction (long, short, or both). █ Trade Direction The strategy is versatile, allowing traders to choose their preferred trading direction: long, short, or both. This flexibility enables traders to tailor their strategies to their market outlook and risk appetite. █ Usage The FlexiSuperTrend strategy is suitable for various market conditions and can be adapted to different asset classes and time frames. Traders should set the strategy parameters according to their risk tolerance and trading goals. It's particularly useful for capturing long-term movements, ideal for swing traders, yet adaptable for short-term trading strategies. █ Default Settings 1. Trading Direction: Choose from "Long", "Short", or "Both" to define the trade type. 2. Indicator Source (HLC3): Utilizes the HLC3 as the primary price reference. 3. Indicator Length (Default: 10): Influences the moving average calculation and trend sensitivity. 4. Starting Factor (0.618): Initiates the ATR length, influenced by Fibonacci ratios. 5. Increment Factor (0.382): Adjusts the ATR length incrementally for dynamic trend tracking. 6. Normalization Method: Options include "None", "Max-Min", and "Absolute Sum" for scaling deviations. 7. SuperTrend Settings: Varied ATR lengths and multipliers tailor the indicator's responsiveness. 8. Additional Settings: Features mesh style plotting and customizable colors for visual distinction. The default settings provide a balanced approach, but users are encouraged to adjust them based on their individual trading style and market analysis.
Strategia Pine Script®
di PresentTrading
8
lib_retracement_patternsLibrary "lib_retracement_patterns" types and functions for XABCD pattern detection and plotting method set_tolerances(this, tolerance_Bmin, tolerance_Bmax, tolerance_Cmin, tolerance_Cmax, tolerance_Dmin, tolerance_Dmax)   sets tolerances for B, C and D retracements. This creates another Pattern instance that is set as tolerances field on the original and will be used for detection instead of the original ratios.   Namespace types: Pattern create_config(pattern_line_args, pattern_point_args, name_label_args, retracement_line_args, retracement_label_args, line_args_Dtarget, line_args_completion, line_args_tp1, line_args_tp2, line_args_sl, label_args_completion, label_args_tp1, label_args_tp2, label_args_sl, label_terminal, label_terminal_up_char, label_terminal_down_char, color_bull, color_bear, color_muted, fill_opacity, draw_point_labels, draw_retracements, draw_target_range, draw_levels, hide_shorter_if_shared_legs_greater_than_max, hide_engulfed_pattern, hide_engulfed_pattern_of_same_type, hide_longer_pattern_with_same_X, mute_previous_pattern_when_next_overlaps, keep_failed_patterns) method direction(this)   Namespace types: Match method length(this) return the length of this pattern, determined by the distance between X and D point   Namespace types: Match method height(this) return the height of this pattern, determined by the distance between the biggest distance between A/C and X/D   Namespace types: Match method is_forming(this) returns true if not complete, not expired and not invalidated   Namespace types: Match method tostring(this)   return a string representation of all Matches in this map   Namespace types: Match method tostring(this)   Namespace types: map remove_complete_and_expired(this) method add(this, item)   Namespace types: map method is_engulfed_by(this, other) checks if this Match is engulfed by the other   Namespace types: Match method update(tracking_matches, zigzag, patterns, max_age_idx, detect_dir, pattern_minlen, pattern_maxlen, max_sub_waves, max_shared_legs, max_XB_BD_ratio, debug_log) checks this map of tracking Matches if any of them was completed or invalidated in   Namespace types: map method mute(this, mute_color, mute_fill_color) mute this pattern by making it all one color (lines and labels, for pattern fill there's another)   Namespace types: Match method mute(this, mute_color, mute_fill_color) mute all patterns in this map by making it all one color (lines and labels, for pattern fill there's another)   Namespace types: map method hide(this) hide this pattern by muting it with a transparent color   Namespace types: Match method reset_styles(this) reset the style of a muted or hidden match back to the preset configuration   Namespace types: Match method delete(this) remove the plot of this Match from the chart   Namespace types: Match method delete(this) remove all the plots of the Matches in this map from the chart   Namespace types: map method draw(this) draw this Match on the chart   Namespace types: Match method draw(this, config, all_patterns, debug_log) draw all Matches in this map, considering all other patterns for engulfing and overlapping   Namespace types: map method check_hide_or_mute(this, all, config, debug_log) checks if this pattern needs to be hidden or muted based on other plotted patterns and given configuration   Namespace types: Match method add_if(id, item, condition) convenience function to add a search pattern to a list, only if given condition (input.bool) is true   Namespace types: Pattern Pattern   type to hold retracement ratios and tolerances for this pattern, as well as targets for trades Config   allows control of pattern plotting shape and colors, as well as settings for hiding overlapped patterns etc. Match   holds all information on a Pattern and a successful match in the chart. Includes XABCD pivot points as well as all Line and Label objects to draw it
Libreria Pine Script®
di robbatt
ICT Donchian Smart Money Structure (Expo)█ Concept Overview The Inner Circle Trader (ICT) methodology is focused on understanding the actions and implications of the so-called "smart money" - large institutions and professional traders who often influence market movements. Key to this is the concept of market structure and how it can provide insights into potential price moves. Over time, however, there has been a notable shift in how some traders interpret and apply this methodology. Initially, it was designed with a focus on the fractal nature of markets. Fractals are recurring patterns in price action that are self-similar across different time scales, providing a nuanced and dynamic understanding of market structure. However, as the ICT methodology has grown in popularity, there has been a drift away from this fractal-based perspective. Instead, many traders have started to focus more on pivot points as their primary tool for understanding market structure. Pivot points provide static levels of potential support and resistance. While they can be useful in some contexts, relying heavily on them could provide a skewed perspective of market structure. They offer a static, backward-looking view that may not accurately reflect real-time changes in market sentiment or the dynamic nature of markets. This shift from a fractal-based perspective to a pivot point perspective has significant implications. It can lead traders to misinterpret market structure and potentially make incorrect trading decisions. To highlight this issue, you've developed a Donchian Structure indicator that mirrors the use of pivot points. The Donchian Channels are formed by the highest high and the lowest low over a certain period, providing another representation of potential market extremes. The fact that the Donchian Structure indicator produces the same results as pivot points underscores the inherent limitations of relying too heavily on these tools. While the Donchian Structure indicator or pivot points can be useful tools, they should not replace the original, fractal-based perspective of the ICT methodology. These tools can provide a broad overview of market structure but may not capture the intricate dynamics and real-time changes that a fractal-based approach can offer. It's essential for traders to understand these differences and to apply these tools correctly within the broader context of the ICT methodology and the Smart Money Concept Structure. A well-rounded approach that incorporates fractals, along with other tools and forms of analysis, is likely to provide a more accurate and comprehensive understanding of market structure. █ Smart Money Concept - Misunderstandings The Smart Money Concept is a popular concept among traders, and it's based on the idea that the "smart money" - typically large institutional investors, market makers, and professional traders - have superior knowledge or information, and their actions can provide valuable insight for other traders. One of the biggest misunderstandings with this concept is the belief that tracking smart money activity can guarantee profitable trading. █ Here are a few common misconceptions: Following Smart Money Equals Guaranteed Success: Many traders believe that if they can follow the smart money, they will be successful. However, tracking the activity of large institutional investors and other professionals isn't easy, as they use complex strategies, have access to information not available to the public, and often intentionally hide their moves to prevent others from detecting their strategies. Instantaneous Reaction and Results: Another misconception is that market movements will reflect smart money actions immediately. However, large institutions often slowly accumulate or distribute positions over time to avoid moving the market drastically. As a result, their actions might not produce an immediate noticeable effect on the market. Smart Money Always Wins: It's not accurate to assume that smart money always makes the right decisions. Even the most experienced institutional investors and professional traders make mistakes, misjudge market conditions, or are affected by unpredictable events. Smart Money Activity is Transparent: Understanding what constitutes smart money activity can be quite challenging. There are many indicators and metrics that traders use to try and track smart money, such as the COT (Commitments of Traders) reports, Level II market data, block trades, etc. However, these can be difficult to interpret correctly and are often misleading. Assuming Uniformity Among Smart Money: 'Smart Money' is not a monolithic entity. Different institutional investors and professional traders have different strategies, risk tolerances, and investment horizons. What might be a good trade for a long-term institutional investor might not be a good trade for a short-term professional trader, and vice versa. █ Market Structure The Smart Money Concept Structure deals with the interpretation of price action that forms the market structure, focusing on understanding key shifts or changes in the market that may indicate where 'smart money' (large institutional investors and professional traders) might be moving in the market. █ Three common concepts in this regard are Change of Character (CHoCH), and Shift in Market Structure (SMS), Break of Structure (BMS/BoS). Change of Character (CHoCH): This refers to a noticeable change in the behavior of price movement, which could suggest that a shift in the market might be about to occur. This might be signaled by a sudden increase in volatility, a break of a trendline, or a change in volume, among other things. Shift in Market Structure (SMS): This is when the overall structure of the market changes, suggesting a potential new trend. It usually involves a sequence of lower highs and lower lows for a downtrend, or higher highs and higher lows for an uptrend. Break of Structure (BMS/BoS): This is when a previously defined trend or pattern in the price structure is broken, which may suggest a trend continuation. A key component of this approach is the use of fractals, which are repeating patterns in price action that can give insights into potential market reversals. They appear at all scales of a price chart, reflecting the self-similar nature of markets. █ Market Structure - Misunderstandings One of the biggest misunderstandings about the ICT approach is the over-reliance or incorrect application of pivot points. Pivot points are a popular tool among traders due to their simplicity and easy-to-understand nature. However, when it comes to the Smart Money Concept and trying to follow the steps of professional traders or large institutions, relying heavily on pivot points can create misconceptions and lead to confusion. Here's why: Delayed and Static Information: Pivot points are inherently backward-looking because they're calculated based on the previous period's data. As such, they may not reflect real-time market dynamics or sudden changes in market sentiment. Furthermore, they present a static view of market structure, delineating pre-defined levels of support and resistance. This static nature can be misleading because markets are fundamentally dynamic and constantly changing due to countless variables. Inadequate Representation of Market Complexity: Markets are influenced by a myriad of factors, including economic indicators, geopolitical events, institutional actions, and market sentiment, among others. Relying on pivot points alone for reading market structure oversimplifies this complexity and can lead to a myopic understanding of market dynamics. False Signals and Misinterpretations: Pivot points can often give false signals, especially in volatile markets. Prices might react to these levels temporarily but then continue in the original direction, leading to potential misinterpretation of market structure and sentiment. Also, a trader might wrongly perceive a break of a pivot point as a significant market event, when in fact, it could be due to random price fluctuations or temporary volatility. Over-simplification: Viewing market structure only through the lens of pivot points simplifies the market to static levels of support and resistance, which can lead to misinterpretation of market dynamics. For instance, a trader might view a break of a pivot point as a definite sign of a trend, when it could just be a temporary price spike. Ignoring the Fractal Nature of Markets: In the context of the Smart Money Concept Structure, understanding the fractal nature of markets is crucial. Fractals are self-similar patterns that repeat at all scales and provide a more dynamic and nuanced understanding of market structure. They can help traders identify shifts in market sentiment or direction in real-time, providing more relevant and timely information compared to pivot points. The key takeaway here is not that pivot points should be entirely avoided or that they're useless. They can provide valuable insights and serve as a useful tool in a trader's toolbox when used correctly. However, they should not be the sole or primary method for understanding the market structure, especially in the context of the Smart Money Concept Structure. █ Fractals Instead, traders should aim for a comprehensive understanding of markets that incorporates a range of tools and concepts, including but not limited to fractals, order flow, volume analysis, fundamental analysis, and, yes, even pivot points. Fractals offer a more dynamic and nuanced view of the market. They reflect the recursive nature of markets and can provide valuable insights into potential market reversals. Because they appear at all scales of a price chart, they can provide a more holistic and real-time understanding of market structure. In contrast, the Smart Money Concept Structure, focusing on fractals and comprehensive market analysis, aims to capture a more holistic and real-time view of the market. Fractals, being self-similar patterns that repeat at different scales, offer a dynamic understanding of market structure. As a result, they can help to identify shifts in market sentiment or direction as they happen, providing a more detailed and timely perspective. Furthermore, a comprehensive market analysis would consider a broader set of factors, including order flow, volume analysis, and fundamental analysis, which could provide additional insights into 'smart money' actions. █ Donchian Structure Donchian Channels are a type of indicator used in technical analysis to identify potential price breakouts and trends, and they may also serve as a tool for understanding market structure. The channels are formed by taking the highest high and the lowest low over a certain number of periods, creating an envelope of price action. Donchian Channels (or pivot points) can be useful tools for providing a general view of market structure, and they may not capture the intricate dynamics associated with the Smart Money Concept Structure. A more nuanced approach, centered on real-time fractals and a comprehensive analysis of various market factors, offers a more accurate understanding of 'smart money' actions and market structure. █ Here is why Donchian Structure may be misleading: Lack of Nuance: Donchian Channels, like pivot points, provide a simplified view of market structure. They don't take into account the nuanced behaviors of price action or the complex dynamics between buyers and sellers that can be critical in the Smart Money Concept Structure. Limited Insights into 'Smart Money' Actions: While Donchian Channels can highlight potential breakout points and trends, they don't necessarily provide insights into the actions of 'smart money'. These large institutional traders often use sophisticated strategies that can't be easily inferred from price action alone. █ Indicator Overview We have built this Donchian Structure indicator to show that it returns the same results as using pivot points. The Donchian Structure indicator can be a useful tool for market analysis. However, it should not be seen as a direct replacement or equivalent to the original Smart Money concept, nor should any indicator based on pivot points. The indicator highlights the importance of understanding what kind of trading tools we use and how they can affect our decisions. The Donchian Structure Indicator displays CHoCH, SMS, BoS/BMS, as well as premium and discount areas. This indicator plots everything in real-time and allows for easy backtesting on any market and timeframe. A unique candle coloring has been added to make it more engaging and visually appealing when identifying new trading setups and strategies. This candle coloring is "leading," meaning it can signal a structural change before it actually happens, giving traders ample time to plan their next trade accordingly. █ How to use The indicator is great for traders who want to simplify their view on the market structure and easily backtest Smart Money Concept Strategies. The added candle coloring function serves as a heads-up for structure change or can be used as trend confirmation. This new candle coloring feature can generate many new Smart Money Concepts strategies. █ Features Market Structure The market structure is based on the Donchian channel, to which we have added what we call 'Structure Response'. This addition makes the indicator more useful, especially in trending markets. The core concept involves traders buying at a discount and selling or shorting at a premium, depending on the order flow. Structure response enables traders to determine the order flow more clearly. Consequently, more trading opportunities will appear in trending markets. Structure Candles Structure Candles highlight the current order flow and are significantly more responsive to structural changes. They can provide traders with a heads-up before a break in structure occurs ----------------- Disclaimer The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs. My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Indicatore Pine Script®
di Zeiierman
21