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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
29
Kirill ChannelThis indicator shows overbought and oversold zones. Can be used on all time frames. I personally use 15m - 30m. How to apply ?: - There can be many strategies for use! I use this indicator to buy an asset in the green zone and then sell it in the middle of the channel or in the red zone. - I strongly advise against entering counter-trend positions in a growing market if you have little trading experience and understanding of price action. How do I place orders ?: - I place orders in a grid. - If the price is very close to the edge, but it is difficult to reach it, then it is better to open a position on the market and place orders deep into the grid. - If the price is at the edge of the channel for a very long time, then you need to look at a higher timeframe. Algorithm composition: - ALMA - Keltner Channel - Fibonacci Retracement - Custom price percent offset calculations and manipulations. Settings: - I strongly do not recommend changing ALMA. These numbers have been specially calculated. - It's better not to change Borders either. The current algorithm dynamically changes the width of the extreme channels depending on the price movement. - The Keltner Channel was specially selected. - Fibonacci Retracement can be changed. This part of the algorithm can be modified to suit your needs. At the moment, there are settings for aggressive trading. Channel type: - Conservative: Fibonacci Retracement settings (100 ma, 100 atr, 8 mult, 100 smooth) - Aggressive: Fibonacci Retracement settings (25 ma, 25 atr, 3.5 mult, 100 smooth) Сonservative channel does not allow a large number of points to enter positions, however, it is more straightforward and safer for very large movements. I prefer aggressive settings because they allow me to make more profit on the number of trades. Try to use both modes and choose what is preferable for you.
Indicatore Pine Script®
di GASANOV_KIRILL
12
3D Isometric MFI (Christmas Edition) [Kodexius]3D Isometric MFI (Christmas Edition) is a visual-first interpretation of the classic Money Flow Index, rendered as a projected 3D-style ribbon using an isometric mapping. Instead of plotting a standard oscillator line, the script reconstructs recent MFI history as a depth-aware ribbon that moves from back to front, producing a layered perspective effect that helps you read momentum shifts, regime transitions, and relative strength changes as a continuous structure. This Christmas Edition was also built for fun and as a creative seasonal experiment. The goal is to keep the underlying indicator logic familiar, while presenting it in a playful, “3D showroom” style that looks great in a separate oscillator panel. The indicator is designed for presentation quality and chart readability. It uses controlled object management (lines, polylines, labels) and renders only the most recent portion of the MFI history (user-defined depth). A decorative snow background effect adds atmosphere. 🔹 Features 🎄 🔸 Isometric 3D Projection Engine The ribbon is produced by projecting 3D points (time offset, MFI value, depth) into 2D chart coordinates. - X represents bar offset into history - Y represents the MFI value - Z introduces depth and perspective Angle controls the projection direction, and Vertical Zoom scales the perceived amplitude. 🔸 Depth-Limited Ribbon Rendering (Back to Front) Only the most recent History Depth values are drawn to keep performance and readability stable. - Each segment connects two consecutive MFI values - A top edge, bottom edge, and filled face are drawn to simulate thickness - Older segments fade into the background 🔸 Dynamic Gradient Coloring + Depth Fade Ribbon color follows a value-based gradient: - Lower values lean red (risk-off pressure) - Higher values lean green (risk-on pressure) - Mid values blend naturally Transparency increases with depth so older history is less dominant but still readable. 🔸 Tip Label (Value + Candy Marker) 🍭🍬 The most recent ribbon tip displays current MFI value. A candy symbol that switches based on the 50 midpoint The label is offset so it does not cover the ribbon tip. 🔸 Projected Reference Grid (80, 50, 20) A projected grid is drawn at classic MFI reference levels to improve orientation: - 80 Overbought reference - 50 Midpoint reference - 20 Oversold reference These grid lines use the same projection math, so they stay aligned at any angle or zoom. 🔸 Seasonal Snow Background Effect ❄️ Randomized snow is rendered behind the ribbon using lightweight labels. This is purely decorative and does not alter MFI values or logic. 🔸 Object Lifecycle Management Because 3D-style drawing uses many objects, the script manages them explicitly by storing references in arrays, deleting old objects, and redrawing on the last bar. This helps prevent visual stacking artifacts and keeps the panel clean. 🔹 Calculations 1) Money Flow Index Computation The script separates “positive” and “negative” money flow based on the direction of change in the selected source, then converts their ratio into the standard 0 to 100 oscillator. Classic MFI Calculations. calc_mfi(int length, float source) => float upper = math.sum(volume * (ta.change(source) <= 0 ? 0 : source), length) float lower = math.sum(volume * (ta.change(source) >= 0 ? 0 : source), length) float mfi = 100.0 if lower != 0 float r = upper / lower mfi := 100 - (100 / (1 + r)) mfi Interpretation: upper accumulates volume-weighted source values on up moves lower accumulates volume-weighted source values on down moves if lower is zero, MFI defaults to 100 to avoid division errors otherwise, MFI is computed from the ratio transform 2) History Buffer Management The current MFI value is pushed into the front of an array every bar. The array is trimmed to History Depth so rendering stays bounded. array.unshift(ctx.history_val, mfi_curr) if ctx.history_val.size() > depth ctx.history_val.pop() 3) 3D Point Model and Ribbon Thickness Each segment is built from four projected points to form a filled face (a simple quad). A small thickness is applied to create the “ribbon” look, and depth is used to simulate perspective. 4) Isometric Projection to Chart Coordinates 3D points are mapped into chart coordinates with an angle rotation and scaling for zoom and depth. method project(Point3 p, int anchor_bar, float angle_rad, float zoom, float z_scale) => float x_world = -float(p.x) * 2.0 float z_val = p.z * z_scale float screen_x_offset = (x_world * math.cos(angle_rad)) - (z_val * 1.0) float screen_y_offset = (p.y * zoom) + (x_world * math.sin(angle_rad)) * 0.5 int final_x = anchor_bar + int(math.round(screen_x_offset)) float final_y = screen_y_offset chart.point.from_index(final_x, final_y) 5) Gradient and Depth Transparency Color is derived from MFI value via a gradient, and transparency increases with segment depth so recent data remains dominant while older context stays visible. 6) Projected Reference Grid Construction The 80, 50, 20 levels are drawn as dotted segments across the same historical span, using the same projection and depth fade logic for consistent alignment. 🎆 Wishing you a great year ahead 🎄✨ May your charts be clear, your risk be controlled, and your next year be filled with health, peace, and good trades. Happy Holidays and Happy New Year.
Indicatore Pine Script®
di Kodexius
Market Cap Landscape 3DHello, traders and creators! 👋 Market Cap Landscape 3D. This project is more than just a typical technical analysis tool; it's an exploration into what's possible when code meets artistry on the financial charts. It's a demonstration of how we can transcend flat, two-dimensional lines and step into a vibrant, three-dimensional world of data. This project continues a journey that began with a previous 3D experiment, the T-Virus Sentiment, which you can explore here: The Market Cap Landscape 3D builds on that foundation, visualizing market data—particularly crypto market caps—as a dynamic 3D mountain range. The entire landscape is procedurally generated and rendered in real-time using the powerful drawing capabilities of polyline.new() and line.new() , pushed to their creative limits. This work is intended as a guide and a design example for all developers, born from the spirit of learning and a deep love for understanding the Pine Script™ language. --- 🧐 Core Concept: How It Works The indicator synthesizes multiple layers of information into a single, cohesive 3D scene: The Surface: The mountain range itself is a procedurally generated 3D mesh. Its peaks and valleys create a rich, textured landscape that serves as the canvas for our data. Crypto Data Integration: The core feature is its ability to fetch market cap data for a list of cryptocurrencies you provide. It then sorts them in descending order and strategically places them onto the 3D surface. The Summit: The highest point on the mountain is reserved for the asset with the #1 market cap in your list, visually represented by a flag and a custom emblem. The Mountain Labels: The other assets are distributed across the mountainside, with their rank determining their general elevation. This creates an intuitive visual hierarchy. The Leaderboard Pole: For clarity, a dedicated pole in the back-right corner provides a clean, ranked list of the symbols and their market caps, ensuring the data is always easy to read. --- 🧐 Example of adjusting the view To evoke the feeling of flying over mountains To evoke the feeling of looking at a mountain peak on a low plain 🧐 Example of predefined colors --- 🚀 How to Use Getting started with the Market Cap Landscape 3D: Add to Chart: Apply the "Market Cap Landscape 3D" indicator to your active chart. Open Settings: Double-click anywhere on the 3D landscape or click the "Settings" icon next to the indicator's name. Customize Your Crypto List: The most important setting is in the Crypto Data tab. In the "Symbols" text area, enter a comma-separated list of the crypto tickers you want to visualize (e.g., BTC,ETH,SOL,XRP ). The indicator supports up to 40 unique symbols. > Important Note: This indicator exclusively uses TradingView's `CRYPTOCAP` data source. To find valid symbols, use the main symbol search bar on your chart. Type `CRYPTOCAP:` (including the colon) and you will see a list of available options. For example, typing `CRYPTOCAP:BTC` will confirm that `BTC` is a valid ticker for the indicator's settings. Using symbols that do not exist in the `CRYPTOCAP` index will result in a script error. or, to display other symbols, simply type CRYPTOCAP: (including the colon) and you will see a list of available options. Adjust Your View: Use the settings in the Camera & Projection tab to rotate ( Yaw ), tilt ( Pitch ), and scale the landscape until you find a view you love. Explore & Customize: Play with the color palettes, flag design, and other settings to make the landscape truly your own! --- ⚙️ Settings & Customization This indicator is highly customizable. Here’s a breakdown of what each setting does: #### 🪙 Crypto Data Symbols: Enter the crypto tickers you want to track, separated by commas. The script automatically handles duplicates and case-insensitivity. Show Market Cap on Mountain: When checked, it displays the full market cap value next to the symbol on the mountain. When unchecked, it shows a cleaner look with just the symbol and a colored circle background. #### 📷 Camera & Projection Yaw (°): Rotates the camera view horizontally (side to side). Pitch (°): Tilts the camera view vertically (up and down). Scale X, Y, Z: Stretches or compresses the landscape in width, depth, and height, respectively. Fine-tune these to get the perfect perspective. #### 🏞️ Grid / Surface Grid X/Y resolution: Controls the detail level of the 3D mesh. Higher values create a smoother surface but may use more resources. Fill surface strips: Toggles the beautiful color gradient on the surface. Show wireframe lines: Toggles the visibility of the grid lines. Show nodes (markers): Toggles the small dots at each grid intersection point. #### 🏔️ Peaks / Mountains Fill peaks volume: Draws vertical lines on high peaks, giving them a sense of volume. Fill peaks surface: Draws a cross-hatch pattern on the surface of high peaks. Peak height threshold: Defines the minimum height for a peak to receive the fill effect. Peak fill color/density: Customizes the appearance of the fill lines. #### 🚩 Flags (3D) Show Flag on Summit: A master switch to show or hide the flag and emblem entirely. Flag height, width, etc.: Provides full control over the dimensions and orientation of the flag on the highest peak. #### 🎨 Color Palette Base Gradient Palette: Choose from 13 stunning, pre-designed color themes for the landscape, from the classic SUNSET_WAVE to vibrant themes like NEON_DREAM and OCEANIC . #### 🛡️ Emblem / Badge Controls This section gives you granular control over every element of the custom emblem on the flag. Tweak rotation, offsets, and scale to design your unique logo. --- 👨‍💻 Developer's Corner: Modifying the Core Logic If you're a developer and wish to customize the indicator's core data source, this section is for you. The script is designed to be modular, making it easy to change what data is being ranked and visualized. The heart of the data retrieval and ranking logic is within the f_getSortedCryptoData() function. Here’s how you can modify it: 1. Changing the Data Source (from Market Cap to something else): The current logic uses request.security("CRYPTOCAP:" + syms.get(i), ...) to fetch market capitalization data. To change this, you need to modify this line. Example: Ranking by RSI (14) on the Daily timeframe. First, you'll need a function to calculate RSI. Add this function to the script: f_getRSI(symbol, timeframe, length) => request.security(symbol, timeframe, ta.rsi(close, length)) Then, inside f_getSortedCryptoData() , find the `for` loop that populates the `caps` array and replace the `request.security` call: // OLD LINE: // caps.set(i, request.security("CRYPTOCAP:" + syms.get(i), timeframe.period, close)) // NEW LINE for RSI: // Note: You'll need to decide how to format the symbol name (e.g., "BINANCE:" + syms.get(i) + "USDT") caps.set(i, f_getRSI("BINANCE:" + syms.get(i) + "USDT", "D", 14)) 2. Changing the Data Formatting: The ranking values are formatted for display using the f_fmtCap() function, which currently formats large numbers into "M" (millions), "B" (billions), etc. If you change the data source to something like RSI, you'll want to change the formatting. You can modify f_fmtCap() or create a new formatting function. Example: Formatting for RSI. // Modify f_fmtCap or create f_fmtRSI f_fmtRSI(float v) => str.tostring(v, "#.##") // Simply format to two decimal places Remember to update the calls to this function in the main drawing loop where the labels are created (e.g., str.format("{0}: {1}", crypto.symbol, f_fmtCap(crypto.cap)) ). By modifying these key functions ( f_getSortedCryptoData and f_fmtCap ), you can adapt the Market Cap Landscape 3D to visualize and rank almost any dataset you can imagine, from technical indicators to fundamental data. --- We hope you enjoy using the Market Cap Landscape 3D as much as we enjoyed creating it. Happy charting! ✨
Indicatore Pine Script®
di hapharmonic
14
Mikula's Master 360° Square of 12Mikula’s Master 360° Square of 12 An educational W. D. Gann study indicator for price and time. Anchor a compact Square of 12 table to a start point you choose. Begin from a bar’s High or Low (or set a manual start price). From that anchor you can progress or regress the table to study how price steps through cycles in either direction. What you’re looking at : Zodiac rail (far left): the twelve signs. Degree rail: 24 rows in 15° steps from 15° up to 360°/0°. Transit rail and Natal rail: track one planet per rail. Each planet is placed at its current row (℞ shown when retrograde). As longitude advances, the planet climbs bottom → top, then wraps to the bottom at the next sign; during retrograde it steps downward. Hover a planet’s cell to see a tooltip with its exact longitude and sign (e.g., 152.4° ♌︎). The linked price cell in the grid moves with the planet’s row so you can follow a planet’s path through the zodiac as a path through price. Price grid (right): the 12×24 Square of 12. Each column is a cycle; cells are stepped price levels from your start price using your increment. Bottom rail: shows the current square number and labels the twelve columns in that square. How the square is read The square always begins at the bottom left. Read each column bottom → top. At the top, return to the bottom of the next column and read up again. One square contains twelve cycles. Because the anchor can be a High or a Low, you can progress the table upward from the anchor or regress it downward while keeping the same bottom-to-top reading order. Iterate Square (shifting) Iterate Square shifts the entire 12×24 grid to the next set of twelve cycles. Square 1 shows cycles 1–12; Square 2 shows 13–24; Square 3 shows 25–36, etc. Visibility rules Pivot cells are table-bound. If you shift the square beyond those prices, their highlights won’t appear in the table. A/B levels and Transit/Natal planetary lines are chart overlays and can remain visible on the table as you shift the square. Quick use Choose an anchor (date/time + High/Low) or enable a manual start price . Set the increment. If you anchored with a Low and want the table to step downward from there, use a negative value. Optional: pick Transit and Natal planets (one per rail), toggle their plots, and hover their cells for longitude/sign. Optional: turn on A/B levels to display repeating bands from the start price. Optional: enable swing pivots to tint matching cells after the anchor. Use Iterate Square to shift to later squares of twelve cycles. Examples These are exploratory examples to spark ideas: Overview layout (zodiac & degree rails, Transit/Natal rails, price grid) A-levels plotted, pivots tinted on the table, real-time price highlighted Drawing angles from the anchor using price & time read from the table Using a TradingView Gann box along the A-levels to study reactions Attribution & originality This script is an original implementation (no external code copied). Conceptual credit to Patrick Mikula, whose discussion of the Master 360° Square of 12 inspired this study’s presentation. Further reading (neutral pointers) Patrick Mikula, Gann’s Scientific Methods Unveiled, Vol. 2, “W. D. Gann’s Use of the Circle Chart.” W. D. Gann’s Original Commodity Course (as provided by WDGAN.com). No affiliation implied. License CC BY-NC-SA 4.0 (non-commercial; please attribute @Javonnii and link the original). Dependency AstroLib by @BarefootJoey Disclaimer Educational use only; not financial advice.
Indicatore Pine Script®
di BlueprintResearch
6
VoVix DEVMA🌌 VoVix DEVMA: A Deep Dive into Second-Order Volatility Dynamics Welcome to VoVix+, a sophisticated trading framework that transcends traditional price analysis. This is not merely another indicator; it is a complete system designed to dissect and interpret the very fabric of market volatility. VoVix+ operates on the principle that the most powerful signals are not found in price alone, but in the behavior of volatility itself. It analyzes the rate of change, the momentum, and the structure of market volatility to identify periods of expansion and contraction, providing a unique edge in anticipating major market moves. This document will serve as your comprehensive guide, breaking down every mathematical component, every user input, and every visual element to empower you with a profound understanding of how to harness its capabilities. 🔬 THEORETICAL FOUNDATION: THE MATHEMATICS OF MARKET DYNAMICS VoVix+ is built upon a multi-layered mathematical engine designed to measure what we call "second-order volatility." While standard indicators analyze price, and first-order volatility indicators (like ATR) analyze the range of price, VoVix+ analyzes the dynamics of the volatility itself. This provides insight into the market's underlying state of stability or chaos. 1. The VoVix Score: Measuring Volatility Thrust The core of the system begins with the VoVix Score. This is a normalized measure of volatility acceleration or deceleration. Mathematical Formula: VoVix Score = (ATR(fast) - ATR(slow)) / (StDev(ATR(fast)) + ε) Where: ATR(fast) is the Average True Range over a short period, representing current, immediate volatility. ATR(slow) is the Average True Range over a longer period, representing the baseline or established volatility. StDev(ATR(fast)) is the Standard Deviation of the fast ATR, which measures the "noisiness" or consistency of recent volatility. ε (epsilon) is a very small number to prevent division by zero. Market Implementation: Positive Score (Expansion): When the fast ATR is significantly higher than the slow ATR, it indicates a rapid increase in volatility. The market is "stretching" or expanding. Negative Score (Contraction): When the fast ATR falls below the slow ATR, it indicates a decrease in volatility. The market is "coiling" or contracting. Normalization: By dividing by the standard deviation, we normalize the score. This turns it into a standardized measure, allowing us to compare volatility thrust across different market conditions and timeframes. A score of 2.0 in a quiet market means the same, relatively, as a score of 2.0 in a volatile market. 2. Deviation Analysis (DEV): Gauging Volatility's Own Volatility The script then takes the analysis a step further. It calculates the standard deviation of the VoVix Score itself. Mathematical Formula: DEV = StDev(VoVix Score, lookback_period) Market Implementation: This DEV value represents the magnitude of chaos or stability in the market's volatility dynamics. A high DEV value means the volatility thrust is erratic and unpredictable. A low DEV value suggests the change in volatility is smooth and directional. 3. The DEVMA Crossover: Identifying Regime Shifts This is the primary signal generator. We take two moving averages of the DEV value. Mathematical Formula: fastDEVMA = SMA(DEV, fast_period) slowDEVMA = SMA(DEV, slow_period) The Core Signal: The strategy triggers on the crossover and crossunder of these two DEVMA lines. This is a profound concept: we are not looking at a moving average of price or even of volatility, but a moving average of the standard deviation of the normalized rate of change of volatility. Bullish Crossover (fastDEVMA > slowDEVMA): This signals that the short-term measure of volatility's chaos is increasing relative to the long-term measure. This often precedes a significant market expansion and is interpreted as a bullish volatility regime. Bearish Crossunder (fastDEVMA < slowDEVMA): This signals that the short-term measure of volatility's chaos is decreasing. The market is settling down or contracting, often leading to trending moves or range consolidation. ⚙️ INPUTS MENU: CONFIGURING YOUR ANALYSIS ENGINE Every input has been meticulously designed to give you full control over the strategy's behavior. Understanding these settings is key to adapting VoVix+ to your specific instrument, timeframe, and trading style. 🌀 VoVix DEVMA Configuration 🧬 Deviation Lookback: This sets the lookback period for calculating the DEV value. It defines the window for measuring the stability of the VoVix Score. A shorter value makes the system highly reactive to recent changes in volatility's character, ideal for scalping. A longer value provides a smoother, more stable reading, better for identifying major, long-term regime shifts. ⚡ Fast VoVix Length: This is the lookback period for the fastDEVMA. It represents the short-term trend of volatility's chaos. A smaller number will result in a faster, more sensitive signal line that reacts quickly to market shifts. 🐌 Slow VoVix Length: This is the lookback period for the slowDEVMA. It represents the long-term, baseline trend of volatility's chaos. A larger number creates a more stable, slower-moving anchor against which the fast line is compared. How to Optimize: The relationship between the Fast and Slow lengths is crucial. A wider gap (e.g., 20 and 60) will result in fewer, but potentially more significant, signals. A narrower gap (e.g., 25 and 40) will generate more frequent signals, suitable for more active trading styles. 🧠 Adaptive Intelligence 🧠 Enable Adaptive Features: When enabled, this activates the strategy's performance tracking module. The script will analyze the outcome of its last 50 trades to calculate a dynamic win rate. ⏰ Adaptive Time-Based Exit: If Enable Adaptive Features is on, this allows the strategy to adjust its Maximum Bars in Trade setting based on performance. It learns from the average duration of winning trades. If winning trades tend to be short, it may shorten the time exit to lock in profits. If winners tend to run, it will extend the time exit, allowing trades more room to develop. This helps prevent the strategy from cutting winning trades short or holding losing trades for too long. ⚡ Intelligent Execution 📊 Trade Quantity: A straightforward input that defines the number of contracts or shares for each trade. This is a fixed value for consistent position sizing. 🛡️ Smart Stop Loss: Enables the dynamic stop-loss mechanism. 🎯 Stop Loss ATR Multiplier: Determines the distance of the stop loss from the entry price, calculated as a multiple of the current 14-period ATR. A higher multiplier gives the trade more room to breathe but increases risk per trade. A lower multiplier creates a tighter stop, reducing risk but increasing the chance of being stopped out by normal market noise. 💰 Take Profit ATR Multiplier: Sets the take profit target, also as a multiple of the ATR. A common practice is to set this higher than the Stop Loss multiplier (e.g., a 2:1 or 3:1 reward-to-risk ratio). 🏃 Use Trailing Stop: This is a powerful feature for trend-following. When enabled, instead of a fixed stop loss, the stop will trail behind the price as the trade moves into profit, helping to lock in gains while letting winners run. 🎯 Trail Points & 📏 Trail Offset ATR Multipliers: These control the trailing stop's behavior. Trail Points defines how much profit is needed before the trail activates. Trail Offset defines how far the stop will trail behind the current price. Both are based on ATR, making them fully adaptive to market volatility. ⏰ Maximum Bars in Trade: This is a time-based stop. It forces an exit if a trade has been open for a specified number of bars, preventing positions from being held indefinitely in stagnant markets. ⏰ Session Management These inputs allow you to confine the strategy's trading activity to specific market hours, which is crucial for day trading instruments that have defined high-volume sessions (e.g., stock market open). 🎨 Visual Effects & Dashboard These toggles give you complete control over the on-chart visuals and the dashboard. You can disable any element to declutter your chart or focus only on the information that matters most to you. 📊 THE DASHBOARD: YOUR AT-A-GLANCE COMMAND CENTER The dashboard centralizes all critical information into one compact, easy-to-read panel. It provides a real-time summary of the market state and strategy performance. 🎯 VOVIX ANALYSIS Fast & Slow: Displays the current numerical values of the fastDEVMA and slowDEVMA. The color indicates their direction: green for rising, red for falling. This lets you see the underlying momentum of each line. Regime: This is your most important environmental cue. It tells you the market's current state based on the DEVMA relationship. 🚀 EXPANSION (Green) signifies a bullish volatility regime where explosive moves are more likely. ⚛️ CONTRACTION (Purple) signifies a bearish volatility regime, where the market may be consolidating or entering a smoother trend. Quality: Measures the strength of the last signal based on the magnitude of the DEVMA difference. An ELITE or STRONG signal indicates a high-conviction setup where the crossover had significant force. PERFORMANCE Win Rate & Trades: Displays the historical win rate of the strategy from the backtest, along with the total number of closed trades. This provides immediate feedback on the strategy's historical effectiveness on the current chart. EXECUTION Trade Qty: Shows your configured position size per trade. Session: Indicates whether trading is currently OPEN (allowed) or CLOSED based on your session management settings. POSITION Position & PnL: Displays your current position (LONG, SHORT, or FLAT) and the real-time Profit or Loss of the open trade. 🧠 ADAPTIVE STATUS Stop/Profit Mult: In this simplified version, these are placeholders. The primary adaptive feature currently modifies the time-based exit, which is reflected in how long trades are held on the chart. 🎨 THE VISUAL UNIVERSE: DECIPHERING MARKET GEOMETRY The visuals are not mere decorations; they are geometric representations of the underlying mathematical concepts, designed to give you an intuitive feel for the market's state. The Core Lines: FastDEVMA (Green/Maroon Line): The primary signal line. Green when rising, indicating an increase in short-term volatility chaos. Maroon when falling. SlowDEVMA (Aqua/Orange Line): The baseline. Aqua when rising, indicating a long-term increase in volatility chaos. Orange when falling. 🌊 Morphism Flow (Flowing Lines with Circles): What it represents: This visualizes the momentum and strength of the fastDEVMA. The width and intensity of the "beam" are proportional to the signal strength. Interpretation: A thick, steep, and vibrant flow indicates powerful, committed momentum in the current volatility regime. The floating '●' particles represent kinetic energy; more particles suggest stronger underlying force. 📐 Homotopy Paths (Layered Transparent Boxes): What it represents: These layered boxes are centered between the two DEVMA lines. Their height is determined by the DEV value. Interpretation: This visualizes the overall "volatility of volatility." Wider boxes indicate a chaotic, unpredictable market. Narrower boxes suggest a more stable, predictable environment. 🧠 Consciousness Field (The Grid): What it represents: This grid provides a historical lookback at the DEV range. Interpretation: It maps the recent "consciousness" or character of the market's volatility. A consistently wide grid suggests a prolonged period of chaos, while a narrowing grid can signal a transition to a more stable state. 📏 Functorial Levels (Projected Horizontal Lines): What it represents: These lines extend from the current fastDEVMA and slowDEVMA values into the future. Interpretation: Think of these as dynamic support and resistance levels for the volatility structure itself. A crossover becomes more significant if it breaks cleanly through a prior established level. 🌊 Flow Boxes (Spaced Out Boxes): What it represents: These are compact visual footprints of the current regime, colored green for Expansion and red for Contraction. Interpretation: They provide a quick, at-a-glance confirmation of the dominant volatility flow, reinforcing the background color. Background Color: This provides an immediate, unmistakable indication of the current volatility regime. Light Green for Expansion and Light Aqua/Blue for Contraction, allowing you to assess the market environment in a split second. 📊 BACKTESTING PERFORMANCE REVIEW & ANALYSIS The following is a factual, transparent review of a backtest conducted using the strategy's default settings on a specific instrument and timeframe. This information is presented for educational purposes to demonstrate how the strategy's mechanics performed over a historical period. It is crucial to understand that these results are historical, apply only to the specific conditions of this test, and are not a guarantee or promise of future performance. Market conditions are dynamic and constantly change. Test Parameters & Conditions To ensure the backtest reflects a degree of real-world conditions, the following parameters were used. The goal is to provide a transparent baseline, not an over-optimized or unrealistic scenario. Instrument: CME E-mini Nasdaq 100 Futures (NQ1!) Timeframe: 5-Minute Chart Backtesting Range: March 24, 2024, to July 09, 2024 Initial Capital: $100,000 Commission: $0.62 per contract (A realistic cost for futures trading). Slippage: 3 ticks per trade (A conservative setting to account for potential price discrepancies between order placement and execution). Trade Size: 1 contract per trade. Performance Overview (Historical Data) The test period generated 465 total trades , providing a statistically significant sample size for analysis, which is well above the recommended minimum of 100 trades for a strategy evaluation. Profit Factor: The historical Profit Factor was 2.663 . This metric represents the gross profit divided by the gross loss. In this test, it indicates that for every dollar lost, $2.663 was gained. Percent Profitable: Across all 465 trades, the strategy had a historical win rate of 84.09% . While a high figure, this is a historical artifact of this specific data set and settings, and should not be the sole basis for future expectations. Risk & Trade Characteristics Beyond the headline numbers, the following metrics provide deeper insight into the strategy's historical behavior. Sortino Ratio (Downside Risk): The Sortino Ratio was 6.828 . Unlike the Sharpe Ratio, this metric only measures the volatility of negative returns. A higher value, such as this one, suggests that during this test period, the strategy was highly efficient at managing downside volatility and large losing trades relative to the profits it generated. Average Trade Duration: A critical characteristic to understand is the strategy's holding period. With an average of only 2 bars per trade , this configuration operates as a very short-term, or scalping-style, system. Winning trades averaged 2 bars, while losing trades averaged 4 bars. This indicates the strategy's logic is designed to capture quick, high-probability moves and exit rapidly, either at a profit target or a stop loss. Conclusion and Final Disclaimer This backtest demonstrates one specific application of the VoVix+ framework. It highlights the strategy's behavior as a short-term system that, in this historical test on NQ1!, exhibited a high win rate and effective management of downside risk. Users are strongly encouraged to conduct their own backtests on different instruments, timeframes, and date ranges to understand how the strategy adapts to varying market structures. Past performance is not indicative of future results, and all trading involves significant risk. 🔧 THE DEVELOPMENT PHILOSOPHY: FROM VOLATILITY TO CLARITY The journey to create VoVix+ began with a simple question: "What drives major market moves?" The answer is often not a change in price direction, but a fundamental shift in market volatility. Standard indicators are reactive to price. We wanted to create a system that was predictive of market state. VoVix+ was designed to go one level deeper—to analyze the behavior, character, and momentum of volatility itself. The challenge was twofold. First, to create a robust mathematical model to quantify these abstract concepts. This led to the multi-layered analysis of ATR differentials and standard deviations. Second, to make this complex data intuitive and actionable. This drove the creation of the "Visual Universe," where abstract mathematical values are translated into geometric shapes, flows, and fields. The adaptive system was intentionally kept simple and transparent, focusing on a single, impactful parameter (time-based exits) to provide performance feedback without becoming an inscrutable "black box." The result is a tool that is both profoundly deep in its analysis and remarkably clear in its presentation. ⚠️ RISK DISCLAIMER AND BEST PRACTICES VoVix+ is an advanced analytical tool, not a guarantee of future profits. All financial markets carry inherent risk. The backtesting results shown by the strategy are historical and do not guarantee future performance. This strategy incorporates realistic commission and slippage settings by default, but market conditions can vary. Always practice sound risk management, use position sizes appropriate for your account equity, and never risk more than you can afford to lose. It is recommended to use this strategy as part of a comprehensive trading plan. This was developed specifically for Futures "The prevailing wisdom is that markets are always right. I take the opposite view. I assume that markets are always wrong. Even if my assumption is occasionally wrong, I use it as a working hypothesis." — George Soros — Dskyz, Trade with insight. Trade with anticipation.
Strategia Pine Script®
di DskyzInvestments
20
00 Averaging Down Backtest Strategy by RPAlawyer v21FOR EDUCATIONAL PURPOSES ONLY! THE CODE IS NOT YET FULLY DEVELOPED, BUT IT CAN PROVIDE INTERESTING DATA AND INSIGHTS IN ITS CURRENT STATE. This strategy is an 'averaging down' backtester strategy. The goal of averaging/doubling down is to buy more of an asset at a lower price to reduce your average entry price. This backtester code proves why you shouldn't do averaging down, but the code can be developed (and will be developed) further, and there might be settings even in its current form that prove that averaging down can be done effectively. Different averaging down strategies exist: - Linear/Fixed Amount: buy $1000 every time price drops 5% - Grid Trading: Placing orders at price levels, often with increasing size, like $1000 at -5%, $2000 at -10% - Martingale: doubling the position size with each new entry - Reverse Martingale: decreasing position size as price falls: $4000, then $2000, then $1000 - Percentage-Based: position size based on % of remaining capital, like 10% of available funds at each level - Dynamic/Adaptive: larger entries during high volatility, smaller during low - Logarithmic: position sizes increase logarithmically as price drops Unlike the above average costing strategies, it applies averaging down (I use DCA as a synonym) at a very strong trend reversal. So not at a certain predetermined percentage negative PNL % but at a trend reversal signaled by an indicator - hence it most closely resembles a dynamically moving grid DCA strategy. Both entering the trade and averaging down assume a strong trend. The signals for trend detection are provided by an indicator that I published under the name '00 Parabolic SAR Trend Following Signals by RPAlawyer', but any indicator that generates numeric signals of 1 and -1 for buy and sell signals can be used. The indicator must be connected to the strategy: in the strategy settings under 'External Source' you need to select '00 Parabolic SAR Trend Following Signals by RPAlawyer: Connector'. From this point, the strategy detects when the indicator generates buy and sell signals. The strategy considers a strong trend when a buy signal appears above a very conservative ATR band, or a sell signal below the ATR band. The conservative ATR is chosen to filter ranging markets. This very conservative ATR setting has a default multiplier of 8 and length of 40. The multiplier can be increased up to 10, but there will be very few buy and sell signals at that level and DCA requirements will be very high. Trade entry and DCA occur at these strong trends. In the settings, the 'ATR Filter' setting determines the entry condition (e.g., ATR Filter multiplier of 9), and the 'DCA ATR' determines when DCA will happen (e.g., DCA ATR multiplier of 6). The DCA levels and DCA amounts are determined as follows: The first DCA occurs below the DCA Base Deviation% level (see settings, default 3%) which acts as a threshold. The thick green line indicates the long position avg price, and the thin red line below the green line indicates the 3% DCA threshold for long positions. The thick red line indicates the short position avg price, and the thin red line above the thick red line indicates the short position 3% DCA threshold. DCA size multiplier defines the DCA amount invested. If the loss exceeds 3% AND a buy signal arrives below the lower ATR band for longs, or a sell signal arrives above the upper ATR band for shorts, then the first DCA will be executed. So the first DCA won't happen at 3%, rather 3% is a threshold where the additional condition is that the price must close above or below the ATR band (let's say the first DCA occured at 8%) – this is why the code resembles a dynamic grid strategy, where the grid moves such that alongside the first 3% threshold, a strong trend must also appear for DCA. At this point, the thick green/red line moves because the avg price is modified as a result of the DCA, and the thin red line indicating the next DCA level also moves. The next DCA level is determined by the first DCA level, meaning modified avg price plus an additional +8% + (3% * the Step Scale Multiplier in the settings). This next DCA level will be indicated by the modified thin red line, and the price must break through this level and again break through the ATR band for the second DCA to occur. Since all this wasn't complicated enough, and I was always obsessed by the idea that when we're sitting in an underwater position for days, doing DCA and waiting for the price to correct, we can actually enter a short position on the other side, on which we can realize profit (if the broker allows taking hedge positions, Binance allows this in Europe). This opposite position in this strategy can open from the point AFTER THE FIRST DCA OF THE BASE POSITION OCCURS. This base position first DCA actually indicates that the price has already moved against us significantly so time to earn some money on the other side. Breaking through the ATR band is also a condition for entry here, so the hedge position entry is not automatic, and the condition for further DCA is breaking through the DCA Base Deviation (default 3%) and breaking through the ATR band. So for the 'hedge' or rather opposite position, the entry and further DCA conditions are the same as for the base position. The hedge position avg price is indicated by a thick black line and the Next Hedge DCA Level is indicated by a thin black line. The TPs are indicated by green labels for base positions and red labels for hedge positions. No SL built into the strategy at this point but you are free to do your coding. Summary data can be found in the upper right corner. The fantastic trend reversal indicator Machine learning: Lorentzian Classification by jdehorty can be used as an external indicator, choose 'backtest stream' for the external source. The ATR Band multiplicators need to be reduced to 5-6 when using Lorentz. The code can be further developed in several aspects, and as I write this, I already have a few ideas 😊
Strategia Pine Script®
di RPAlawyer
1
TrippleMACDCryptocurrency Scalping Strategy for 1m Timeframe Introduction: Welcome to our cutting-edge cryptocurrency scalping strategy tailored specifically for the 1-minute timeframe. By combining three MACD indicators with different parameters and averaging them, along with applying RSI, we've developed a highly effective strategy for maximizing profits in the cryptocurrency market. This strategy is designed for automated trading through our bot, which executes trades using hooks. All trades are calculated for long positions only, ensuring optimal performance in a fast-paced market. Key Components: MACD (Moving Average Convergence Divergence): We've utilized three MACD indicators with varying parameters to capture different aspects of market momentum. Averaging these MACD indicators helps smooth out noise and provides a more reliable signal for trading decisions. RSI (Relative Strength Index): RSI serves as a complementary indicator, providing insights into the strength of bullish trends. By incorporating RSI, we enhance the accuracy of our entry and exit points, ensuring timely execution of trades. Strategy Overview: Long Position Entries: Initiate long positions when all three MACD indicators signal bullish momentum and the RSI confirms bullish strength. This combination of indicators increases the probability of successful trades, allowing us to capitalize on uptrends effectively. Utilizing Linear Regression: Linear regression is employed to identify consolidation phases in the market. Recognizing consolidation periods helps us avoid trading during choppy price action, ensuring optimal performance. Suitability for Grid Trading Bots: Our strategy is well-suited for grid trading bots due to frequent price fluctuations and opportunities for grid activation. The strategy's design accounts for price breakthroughs, which are advantageous for grid trading strategies. Benefits of the Strategy: Consistent Performance Across Cryptocurrencies: Through rigorous testing on various cryptocurrency futures contracts, our strategy has demonstrated favorable results across different coins. Its adaptability makes it a versatile tool for traders seeking consistent profits in the cryptocurrency market. Integration of Advanced Techniques: By integrating multiple indicators and employing linear regression, our strategy leverages advanced techniques to enhance trading performance. This strategic approach ensures a comprehensive analysis of market conditions, leading to well-informed trading decisions. Conclusion: Our cryptocurrency scalping strategy offers a sophisticated yet user-friendly approach to trading in the fast-paced environment of the 1-minute timeframe. With its emphasis on automation, accuracy, and adaptability, our strategy empowers traders to navigate the complexities of the cryptocurrency market with confidence. Whether you're a seasoned trader or a novice investor, our strategy provides a reliable framework for achieving consistent profits and maximizing returns on your investment.
Strategia Pine Script®
di skreepan
8
Gann Square of 144This indicator will create lines on the chart based on W.D. Gann's Square of 144. All the inputs will be detailed below Why create this indicator? I didn't find it on Tradingview (at least with open source). But the main reason is to study the strategy and be able to draw it fast. Manually drawing the square is not hard, but moving all together to the right spots and scale was time-consuming. It has a lot of inputs... Yes, each square point divisible by 6 has information with some options, so the user can create any configuration he wants. Also, it has the advantage of having the square built in seconds and adjusting itself on each new calculation. About the inputs Starting Date This input will be used when the "Set Upper/Lower Prices and Start Bar Automatically" checkbox is not selected. The indicator will calculate all the line locations on the chart using the selected start date. When selecting this input, change the Manual Max and Min Prices to the better calculation Manual Max/Min Price This input will be used when the "Set Upper/Lower Prices and Start Bar Automatically" checkbox is not selected. The indicator will calculate all the line's locations on the chart using these prices Set Upper/Lower Prices and Start Bar Automatically Selects if the starting date will be automatically selected by the system or based on the input data. When it's set, the indicator will use the most recent bar as the middle point of the square, using the higher price as the Upper Price and the lowest price as the Lower Price in the latest 72 bars (or more based on the Candles Per Division parameter) Update at a new bar When this option is market, the indicator will update all created lines to match the new bar position, together with all the possible new Upper/Lower prices. Let it unchecked to watch the progression of the price while the square remains fixed in the chart. Top X-Axis When checked, it will display the labels on the Top of the square Bottom X-Axis When checked, it will display the labels on the Bottom of the square Left X-Axis When checked, it will display the labels on the left of the square Right X-Axis When checked, it will display the labels on the right of the square Show Prices on the Right Y-Axis When checked, it will display the prices together with the labels on the right of the square Show Vertical Divisions Show the lines that will divide the square into 9 equal parts Show Extra Lines Show unique lines that will come from the Top and bottom middle of the square, connecting the center to the 36 and 108 levels Show Grid When selected, it will display a grid in the square Line Patterns A selector with some options of built-in lines configuration. When any option besides None is selected, it will override the lines inputs below Numbers Color Select the color of each number on the Axis Vertical Lines Color Select the color of the vertical lines Grid Color Select the grid line color Connections from corners to N Each corner is represented by 2 characters, so they all fit in a single line It will indicate where the line starts and where it ends ┏ ↓ = Top Left to Bottom ┏ → = Top Left to Right ┗ ↑ = Bottom Left to Top ┗ → = Bottom Left to Right ┓ ← = Top Right to Left ┓ ↓ = Top Right to Bottom ┛ ← = Bottom Right to Left ┛ ↑ = Bottom Right to Top Besides selecting what line will be created, it's possible to select the color, the style, and the extension How to use this indicator When you dig into Gann's books for more information about the square of 144, you find that it was part of his setup with multiple indicators (technical and fundamental, and astrological). It is not a "one indicator" setup, so it's hard to say that you will find entries, exits, stop loss, and take profit in this. Still, it will help see trendiness, support, and resistance levels. Mixing this with other indicators is probably a good idea, but some may find this indicator the only one needed. Some aspects of the square The end of the square is important, so where it starts is crucial. The end is important because it is where the price and time expire. The other parts of the square are defined based on their start and end, so placing them right is essential. So, where to set the start of the square? The last major low is the most indicated. The minimum price will be the lowest, and the max price will be the last major Top. Note that the indicator uses 1 candle on each point. After finding the start, the minimum, and the maximum prices for the square, it will draw all lines. Another essential part of the square is The Midpoint. The midpoint is the most crucial part of the square and is the best way to see if you positioned the square correctly. When the price is inside the square, using the starting candle as the start, a second higher low or a lower high occurs in that spot. When using the Vertical lines in the indicator, it's the middle square inside Gann's square. The other divisions will be opposing each other most of the time. So if the price is rising in the 1/3 of the square, it's common to see the price fall in the 3/3 of the square. More information about these aspects here Considerations This indicator was meant for price targets and a time calculator for possible support/resistances in the chart. It was created by William Delbert Gann and was part of his setup for trading almost a century ago. The lines will form geometric figures, which Gann used with high accuracy to predict tops/bottoms and when they would occur.
Indicatore Pine Script®
di ThiagoSchmitz
56
Tailwind.(BTC)Imagine the price of Bitcoin is like a person climbing a staircase. The Steps (Grid): Instead of watching every single price movement, the strategy divides the market into fixed steps. In your configuration, each step measures **3,000 points**. (Examples: 60,000, 63,000, 66,000...). The Signal: We buy only when the price climbs a full step decisively. The "Expensive Price" Filter: If the price jumps the step but lands too far away (the candle closes too high), we do not buy. It is like trying to board a train that has already started moving too fast; the risk is too high. Rigid Exits: The Take Profit (TP) and Stop Loss (SL) are calculated from the edge of the step, not from the specific price where you managed to buy. This preserves the geometric structure of the market. The Code Logic (Step-by-Step) A. The Math of the Grid (`math.floor`) pinescript level_base = math.floor(close / step_size) * step_size This is the most important line. What does it do? It rounds the price down to the nearest multiple of 3,000. Example: If BTC is at 64,500 and the step size is 3,000: 1. Divide: $64,500 / 3,000 = 21.5$ 2. `math.floor` (Floor): Removes the decimals $\rightarrow$ remains $21$. 3. Multiply: $21 * 3,000 = 63,000$. Result: The code knows that the current "floor" is **63,000**, regardless of whether the price is at 63,001 or 65,999. B. The Strict Breakout (`strict_cross`) pinescript strict_cross = (open < level_base) and (close > level_base) Most strategies only check if `close > level`. We do things slightly differently: `open < level_base`: Requires the candle to have "born" *below* the line (e.g., opened at 62,900). `close > level_base`: Requires the candle to have *finished* above the line (e.g., closed at 63,200). Why? This avoids entering on gaps (price jumps where the market opens already very high) and confirms that there was real buying power crossing the line. C. The "Expensive Price" Filter (`max_dist_pct`) pinescript limit_price_entry = level_base + (step_size * (max_dist_pct / 100.0)) price_is_valid = close <= limit_price_entry Here you apply the percentage rule: -If the level is 63,000 and the next is 66,000 (a difference of 3,000). -If `max_dist_pct` is **60%**, the limit is $63,000 + (60\% \text{ of } 3,000) = 64,800$. -If the breakout candle closes at **65,000**, the variable `price_is_valid` will be **false** and it will not enter the trade. This avoids buying at the ceiling. D. TP and SL Calculation (Anchored to the Level) pinescript take_profit = level_base + (step_size * tp_mult) stop_loss = level_base - (step_size * sl_mult) Note that we use `level_base` and not `close`. -If you entered because the price broke 63,000, your SL is calculated starting from 63,000. -If your SL is 1.0x, your stop will be exactly at 60,000. This is crucial: If you bought "expensive" (e.g., at 63,500), your real stop is wider (3,500 points) than if you bought cheap (63,100). Because you filter out expensive entries, you protect your Risk/Reward ratio. E. Visual Management (`var line`) The code uses `var` variables to remember the TP and SL lines and the `line.set_x2` function to stretch them to the right while the operation remains open, providing that visual reference on the chart until the trade ends. Workflow Summary Strategy Parameters: Total Capital: $20,000 We will use 10% of total capital per trade. Commissions: 0.1% per trade. TP: 1.4 SL: 1 Step Size (Grid): 3,000 We use the 200 EMA as a trend filter. Feel free to experiment with the parameters to your liking. Cheers.
Strategia Pine Script®
di OldWave96
1
Fibonacci Degree System This Pine Script creates a sophisticated technical analysis tool that combines Fibonacci retracements with a degree-based cycle system. Here's a comprehensive breakdown: Core Concept The indicator maps price movements onto a 360-degree circular framework, treating market cycles like geometric angles. It creates a visual "mesh" where Fibonacci ratios intersect in both price (horizontal) and time (vertical) dimensions. How It Works 1. Finding Reference Points The script looks back over a specified period (default 100 bars) to identify: Highest High: The peak price point Lowest Low: The trough price point Time Locations: Exactly which bars these extremes occurred on These two points form the boundaries of your analysis window. 2. Creating the Fibonacci Grid Horizontal Lines (Price Levels): The script divides the price range between high and low into seven key Fibonacci ratios: 0% (Low) - Bottom boundary in red 23.6% - Minor retracement in orange 38.2% - Shallow retracement in yellow 50% - Midpoint in lime green 61.8% - Golden ratio in aqua (most significant) 78.6% - Deep retracement in blue 100% (High) - Top boundary in purple Each line represents a potential support/resistance level where price might react. Vertical Lines (Time Cycles): The same Fibonacci ratios are applied to the time dimension between the high and low bars. If your high and low are 50 bars apart, vertical lines appear at: Bar 0 (0%) Bar 12 (23.6%) Bar 19 (38.2%) Bar 25 (50%) Bar 31 (61.8%) Bar 39 (78.6%) Bar 50 (100%) These suggest when price might make significant moves. 3. The Degree Mapping System The innovative feature maps the time progression to degrees: 0° = Start point (0% time) 85° = 23.6% through the cycle 138° = 38.2% through the cycle 180° = Midpoint (50%) 222° = 61.8% through the cycle (golden angle) 283° = 78.6% through the cycle 360° = Complete cycle (100%) This treats market movements as circular patterns, similar to how planets orbit or pendulums swing. Visual Output When you apply this indicator, you'll see: A rectangular mesh extending beyond your high-low range (by 150% default) Color-coded horizontal lines showing price Fibonacci levels Matching vertical lines showing time Fibonacci intervals Price labels on the right showing percentage levels Degree labels at the bottom showing the angular position in the cycle Intersection points creating a grid of potentially significant price-time coordinates Trading Application Traders use this to identify: Support/Resistance Zones: Where horizontal and vertical lines intersect Time Targets: When price might reverse (at vertical Fibonacci times) Cycle Completion: When approaching 360°, a new cycle may begin Harmonic Patterns: Geometric relationships between price and time Customization Features The script offers extensive control: Lookback period: Adjust cycle length (10-500 bars) Mesh extension: How far to project the grid forward Visual toggles: Show/hide horizontal lines, vertical lines, labels Styling: Line thickness, style (solid/dashed/dotted), colors Label positioning: Fine-tune text placement for readability The intersection at 61.8% time and 61.8% price at 222° becomes a key target zone. This tool essentially converts the abstract concept of market cycles into a concrete, visual geometric framework that traders can analyze and act upon. DISCLAIMER: This information is provided for educational purposes only and should not be considered financial, investment, or trading advice. No guarantee of profits: Past performance and theoretical models do not guarantee future results. Trading and investing involve substantial risk of loss. Not a recommendation: This script illustration does not constitute a recommendation to buy, sell, or hold any financial instrument. Do your own research: Always conduct thorough independent research and consider consulting with a qualified financial advisor before making any trading decisions.
Indicatore Pine Script®
di kingshukghosh71
Gold Key Level LinesOverview Gold Horizontal Lines is a visual grid tool that draws automatic horizontal levels around the current price. It’s designed for symbols like Gold (XAUUSD), but works on any market and timeframe. What It Does Draws main, mid, and quarter price levels based on user-defined intervals (e.g. 100 / 50 / 25). Centers the grid around the current close, above and below by a chosen number of levels. Adds optional price labels to each line on the right side of the chart. Deletes and redraws lines only on the last bar to keep the chart clean and efficient. Inputs Main Line Interval – distance between key levels (e.g. 100). Mid / Quarter Intervals – optional extra levels between main lines (set to 0 to disable). Colors, Styles, Widths – separate settings for main, mid, and quarter lines. Show Price Labels – toggle labels on/off. Number of Lines Above/Below Price – controls how far the grid extends.
Indicatore Pine Script®
di Leul_Taye
Murrey Math SMA up to 32s Murrey Math SMA up to 32s is a highly advanced Pine Script v5 indicator that combines Murrey Math Lines (MML) with a customizable moving average (MA) — including a non-repainting Rolling VWAP (RVWAP) — and dynamic color-coded support/resistance bands up to 1/32 subdivisions. It projects octave-based geometric price levels (like Gann) centered on your chosen MA, with adaptive scaling, angle-based trend coloring, and absolute/extended MML bands. Includes 1/8, 1/16, and 1/32 grid lines, shaded zones, labels, and a live increment display.Core FeaturesFeature Description MA Types SMA, VWMA, VWAP, Period VWAP, RVWAP (rolling VWAP over fixed or adaptive time window) Murrey Math Grid Auto-scaled 0/8 to 8/8 + extensions (±3/8), with 1/16 & 1/32 subdivisions Dynamic Coloring Bands colored by MA slope angle (bullish/bearish) or absolute MML shift RVWAP Engine Non-repainting volume-weighted average over user-defined or adaptive time steps Wick Filtering Optional ignore wicks for cleaner MML framing Resolution Support Works with higher timeframe data via request.security() Key Use Cases Use Case How to Use 1. Precision Support & Resistance Treat 4/8 (mid) as pivot, 0/8 & 8/8 as extremes. Price often reverses or accelerates at these levels. 2. Mean Reversion Trades Buy near 0/8–1/8 (oversold), sell near 7/8–8/8 (overbought) when MA is flat or sloping mildly. 3. Trend Continuation When MA angle > threshold and price breaks 5/8, expect move to 8/8. Confirm with volume. 4. Breakout Entries Watch for close beyond 8/8 or 0/8 + MA angle steep → strong momentum breakout. 5. Scalping with 1/32 Grid Use 1/32 lines as micro-targets in ranging markets or after news spikes. 6. Volume-Weighted Fair Value RVWAP = true average price paid over time → anchor for institutional fair value. Visual Layout (MA-Centered) +3/8 ───┐ +2/8 ───┤ ← Strong resistance +1/8 ───┤ 8/8 ███┤ ← Overbought (red zone) 7/8 ───┤ 6/8 ███┤ 5/8 ───┤ 4/8 ███┤ ← Midline (pivot) 3/8 ───┤ 2/8 ███┤ 1/8 ───┤ 0/8 ███┤ ← Oversold (green zone) -1/8 ───┤ -2/8 ───┤ -3/8 ───┘ Shaded: 0/8–1/8 (buy), 7/8–8/8 (sell), 3/8–5/8 (neutral/consolidation) MA Line: Orange (RVWAP) or hidden Labels: Bottom, 1/4, Mid, 3/4, Top (offset to the right) Table: Shows current Increment size Best For Swing & scalp traders on stocks, forex, crypto Volume-based strategies (RVWAP shines in high-volume moves) Gann/Murrey Math enthusiasts wanting automation + modern MA anchoring
Indicatore Pine Script®
di surfchaser
EM Visible Range Volume Profile█ OVERVIEW  ᴇᴍ VRVP (Visible Range Volume Profile) indicator calculates the volume profile within the visible range of prices. Volume Profile is an advanced technical analysis indicator that shows trading activity over a specified period of time at certain price levels. The indicator plots a histogram on the chart that reflects dominant or significant price levels based that are based on volume. VP concept VP Components Open, High, Low, Close: There are different types of volume profile indicators but the majority of them will designate the OHLC. Point of Control: A price level with the most traded volume during one session, also known as POC. High Volume Node (HVN): Area of high volume relative to surrounding price action. Low Volume Node (LVN): Area of low volume relative to surrounding price action. Analysis of price in relation to high and low volume nodes is useful when building context around your trades. █ VOLUME PROFILE STRATEGIES  The distribution of a volume profile can help you determine the strength of a trend and spot potential reversal zones. Let’s take a look at the five different distribution types. Neutral D In order for price to break away from value, either the buyers or the sellers will have to become more aggressive than the other side. When this occurs, it gives us with a vital piece of information. Now we know who were the agressors at this price level: either the buyers or the sellers. That's why this is a good level for a trading setup if the price bounces back. Bearish P and Bullish P Bearish P — reversal. Bullish P — confirmation. Bearish Ь and Bullish Ь Bearish Ь — confirmation. Bullish Ь — reversal. Examples █ INPUTS  Width — amplitude of the VP histogram. Grid — the number of columns of the VP histogram. Delta of volumes — combinatorial determination of the ratios of sellers and buyers. In quoted units — conversion in units of quoted currency. Logarithmic scale — recalculation the grid step to the logarithmic scale of the chart. HTF — (Higher Timeframe) calculation of VP for the period of the selected timeframe. ISO: Isolated computation in HTF period. Palette: Total volume, Volume of buyers, Volume of sellers, HTF bars. Warnings: colour of the «⚠» icon, language of information in the Tooltip. Addition: ᴇᴍ CHN-RMA — a grid of moving averages with periods of centered hexagonal numbers. █ ОБЩИЕ СВЕДЕНИЯ  ᴇᴍ VRVP (Visible Range Volume Profile) рассчитывает профиль объёма в видимом диапазоне цен. Профиль объёма — это продвинутый индикатор технического анализа, который показывает торговую активность за условленный период времени на определённых ценовых уровнях. Индикатор строит на графике гистограмму, отражающую доминирующие или значимые ценовые уровни, основанные на объёме. █ НАСТРОЙКИ  Ширина — амплитуда гистограммы VP. Сетка — количество колонок гистограммы VP. Дельта объёмов — комбинаторное определение соотношений продаж и покупок. В котируемых единицах — пересчёт в единицах котируемой валюты. Логарифмическая шкала — пересчёт шага сетки на логарифмическую шкалу графика. HTF — (Higher Timeframe) расчёт VP за период выбранного таймфрейма. ISO: Изолированное вычисление в HTF-периоде. Палитра: Суммарный объём, Объём покупок, Объём продаж, Бары HTF. Предупреждения: цвет значка «⚠», язык информации в Tooltip. Дополнение: ᴇᴍ CHN-RMA — сетка скользящих средних с периодами центрированных гексагональных чисел.
Indicatore Pine Script®
di EulerMethod
7
Liquidity Guard v4.0 This script is designed for Market Makers (MM), Grid Traders, and Mean Reversion strategists. Its primary purpose is not to tell you when to enter a trade, but when to stop trading and withdraw liquidity to avoid "catching falling knives" or "selling too early" during extreme unilateral movements. Unlike traditional indicators that require constant parameter tuning for different assets (e.g., BTC vs. PEPE), this script features a Normalized Z-Score Algorithm, making it adaptive to any asset class, price scale, or time frame without manual adjustment. 这是一个专为 做市商 (Market Makers)、网格交易者 (Grid Traders) 和 马丁策略 (Martingale) 设计的风控系统。它的核心目的不是告诉你“何时买入”，而是告诉你 “何时停止交易” 并撤回挂单，以防止在极端的单边行情中“接飞刀”或“卖飞”。 本指标最大的亮点是采用了 归一化 Z-Score (标准化分数) 算法。这意味着您不需要针对 BTC、ETH 或小币种分别调整参数，一套参数即可自适应所有币种和时间周期。
Indicatore Pine Script®
di GinsTradingRoom
Position Avg Line + P/L Table - SightLine LabsPosition Avg – SLL is a lightweight position-tracking indicator designed to display a persistent average price level on the chart along with a real-time position summary table. This script is non-trading and does not generate signals, entries, or exits. It is intended strictly for position awareness and visual reference. What this indicator does: Plots a persistent horizontal average price line (dashed by default) Displays a live position statistics table showing: Shares owned Average price Current price Unrealized profit/loss in dollars Unrealized profit/loss in percent Updates automatically as price changes Works across all timeframes Does not depend on broker integration or strategy logic Key features: Average Price Line: User-defined average price input Persistent across the entire chart Adjustable color and width Visibility toggle Position Table: Six selectable table positions: Top Left, Top Center, Top Right, Bottom Left, Bottom Center, Bottom Right Adjustable text size (Tiny through Huge) Optional table background fill Optional inner grid lines Optional outer frame border Independent color control for: Header background Header text Value text Positive and negative P/L values Chart Overlay Options: Optional chart background tint Does not modify the global chart theme Inputs overview: Position Settings: Shares Owned Average Price Visual Settings: Show or hide average price line Line color and width Table Settings: Table position Table text size Color Settings: Header background and text colors Value text color Positive and negative P/L colors Optional table background, grid, and frame colors How to use: Add the indicator to a chart Open the settings panel Enter the number of shares and the average price Adjust table position, size, and colors as desired Use the average price line and table as a visual reference for trade and risk management Notes and limitations: This indicator does not place trades It does not connect to any broker All values are manually entered Unrealized P/L is calculated using the chart’s current price Commissions, fees, and slippage are not included Disclaimer: This script is provided for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or trade signals. All trading decisions are the sole responsibility of the user. Developed by SightLine Labs.
Indicatore Pine Script®
di SightLineLabs
Round NumbersRound Numbers This indicator is a high-precision tool designed to automatically visualize psychological price marks and "round numbers" on your chart. It helps traders identify key areas where institutional orders and market sentiment often cluster, providing a clear map of potential support and resistance zones based on mathematical multiples. Key Features: 11 Fully Configurable Level Groups: The indicator provides 11 independent level groups, pre-set to psychologically significant intervals (10, 50, 100, 500, 1,000, 5,000, 10,000, 50,000, 100,000, 500,000, and 1,000,000). Complete Customization: Every level can be individually toggled. Users can define the specific multiple, line color, thickness, and line style (Solid, Dashed, or Dotted) to distinguish between major and minor levels. Dynamic Range Adaptation: The script calculates and draws lines based on the recent price action, ensuring the chart remains relevant to the current trading range without manual adjustment. Performance Optimized: Utilizing an efficient line-pooling system, the indicator maintains high performance and ensures smooth chart scrolling while staying within platform drawing limits. Use Cases: Psychological Levels: Quickly identify major price magnets (e.g., Gold at $2500, $2600). Grid Trading & Visualization: Create a clean visual grid for systematic entry and exit strategies. Market Structure Analysis: Assist in recognizing "Big Round Numbers" where liquidity usually resides and where reversals are more likely to occur. Settings: For each of the 11 levels, you can configure: Show Level: Enable or disable the specific group. Multiple Value: The price interval for the lines (e.g., "100" creates a line every 100 points). Color: Choose any color and transparency for the lines. Width: Set the line thickness from 1 to 5. Line Style: Select between Solid, Dashed, or Dotted appearances.
Indicatore Pine Script®
di HerumFalsch
Round Strike Price, Levels Options Series➤ Strike Price Range Mode: ➤ Exact Strike Price Mode: ⭐ Overview and How It Works Round Strike Price or Levels is a precision-focused visual tool designed for options and index traders. It dynamically plots round strike levels around the current price and presents them either as: ⠀ — Exact strike prices, or ⠀ — Strike price ranges, where each zone represents the midpoint between two adjacent strikes. The indicator continuously recalculates the base strike using the current price and aligns all surrounding levels using a fixed step size. All lines and labels are updated only on the last bar for optimal performance and stability. This makes StrikePrice ideal for: 🔹 Identifying key option strikes. 🔹 Visualizing price acceptance zones. 🔹 Understanding strike-to-strike movement during intraday trading. ⭐ Key Features and Functionality Strike Price Range: ⠀ — Treats each pair of strike lines as a price zone. ⠀ — Labels are plotted at the midpoint between two lines. ⠀ — Last label is intentionally hidden (no upper range exists) Exact Strike Price: ⠀ — Labels are plotted directly on each strike line. ⠀ — Useful for precise strike-based analysis. 󠀠󠀠󠀠 Dynamic Base Calculation: ⠀ — Automati󠀠cally snaps price to the nearest round strike. ⠀ — Re-centers the entire grid as price moves. ⠀ — No manual adjustment required. Efficient Object Management: ⠀ — Uses persistent arr󠀠ays for lines and labels. ⠀ — Objects are reused instead of recreated. ⠀ — Prevents flickering and avoids TradingView object limits. 🎨 Visualizations and User Experience Clean horizontal strike grid with configurable: ⠀ — Line width, Line color, Line style (Solid / Dashed / Dotted), Extension direction (Left / Right / Both / None). Labels are: ⠀ — Positioned to the right of price, Size-adjustable, Fully customizable in text color and background color. Designed to stay visually clear even on: ⠀ — Fast-moving intraday charts, Options-focused layouts, Multi-indicator setups. Tip: Increase Right Bars Margin in chart settings to give labels proper spacing. ⭐ Settings and Customization 🔹 Strike Settings: ⠀ — Step (points): Distance between adjacent strike levels (e.g., 50, 100) ⠀ — Levels per side: Number of strike levels plotted above and below the base. ⠀ — Strike Mode: Strike Price Range, Exact Strike Price. 🔹 Line Settings: ⠀ — Line width, Line color, Line style (Solid / Dashed / Dotted), Line extension direction. 🔹 Label Settings: ⠀ — Show / hide labels, Label distance (bars to the right), Label size, Label text color, Label background color. All label properties are updated dynamically, allowing real-time UI tuning without reloading the script. ⭐ Uniqueness of the Concept: Unlike generic round-number indicators, StrikePrice: ⠀ — Understands option-style strike structure. ⠀ — Separates range-based thinking from exact price levels. ⠀ — Uses midpoint logic to visualize strike-to-strike movement. ⠀ — Maintains strict performance discipline by updating only when necessary. This makes it especially useful for: ⠀ • NIFTY / BANKNIFTY options. ⠀ • Index and futures traders. ⠀ • Intraday strike rotation analysis. ⠀ • Premium decay and range-bound setups. 🚀 Conclusion: StrikePrice is a focused, professional-grade indicator for traders who think in strikes, ranges, and levels rather than arbitrary prices. It offers: ⠀ • Clear structure ⠀ • Accurate strike alignment ⠀ • Clean visuals ⠀ • Zero repainting logic
Indicatore Pine Script®
di Options_Series
RSI Analytic Volume Matrix [RAVM] Overview RSI Analytic Volume Matrix is an overlay indicator that turns classic RSI into a multi-layered market-reading engine. Instead of treating RSI 30 and 70 as simple buy/sell lines, RAVM combines RSI geometry (angle and acceleration), statistical volume analysis, and a 5×5 VSA-inspired matrix to describe what is really happening inside each candle. The script is designed as an educational and analytical tool. It does not generate trading signals. Instead, it helps you read the market context, understand where the pressure is coming from (buyers vs. sellers), and see how price, momentum, and volume interact in real time. Concept & Philosophy RAVM is built around a hierarchical logic and a few core ideas: • Hierarchical State Machine: First, RSI defines a context (where we are in the 0–100 range). Then the geometric engine evaluates the angle-of-turn of RSI using a Z-Score. Only after a meaningful geometric event is detected does the system promote a bar to a potential setup (warning vs. confirmed). • Geometric Primacy: The angle and acceleration of RSI (RSI geometry) are more important than the raw RSI level itself. RAVM uses a geometric veto: if the geometric trigger is not confirmed, the confidence score is capped below 50%, even if volume looks interesting. • RSI Beyond 30 and 70: Being above 70 or below 30 is not treated as an automatic overbought/oversold signal. RAVM treats those zones as contextual factors that contribute only a partial portion of the final score, alongside geometry, total volume expansion, buy/sell balance, and delta power. • Volume Decomposition: Volume is decomposed into total, buy-side, sell-side, and delta components. Each of these is normalized with a Z-Score over a shared statistical window, so RSI geometry and volume live in the same statistical context. • Educational Scoring Pipeline: RAVM builds a 0–100 "Quantum Score" for each detected setup. The score expresses how strong the story is across four dimensions: geometry (RSI angle-of-turn), total volume expansion, which side is driving that volume (buyers vs. sellers), and the power of delta. The score is designed for learning and weighting, not for mechanical trade entries. • VSA Matrix Engine: A 5×5 matrix combines momentum states and volume dynamics. Each cell corresponds to an interpreted VSA-style scenario (Absorption, Distribution, No Demand, Stopping Volume, Strong Reversal, etc.), shown both as text and as a heatmap dashboard on the chart. How RAVM Works 1. RSI Context & Geometry RAVM starts with a classic RSI, but it does not stop at simple level checks. It computes the velocity and acceleration of RSI and normalizes them via a Z-Score to produce an Angle-of-Turn metric (Z-AoT). This Z-AoT is then mapped into a 0–1 intensity value called MSI (Momentum Shift Intensity). The script monitors both classic RSI zones (around 30 and 70) and geometric triggers. Entering the lower or upper zone is treated as a contextual event only. A setup becomes "confirmed" when a significant geometric turn is detected (based on Z-AoT thresholds). Otherwise, the bar is at most a warning. 2. Volume & Statistical Engine The volume engine can work in two modes: a geometric approximation (based on candle structure) or a more precise intrabar mode using up/down volume requests. In both cases, RAVM builds a volume packet consisting of: • Total volume • Buy-side volume • Sell-side volume • Delta (buy – sell) Each of these series is normalized using a Z-Score over the same statistical window that is used for RSI geometry. This allows RAVM to answer questions such as: Is total volume exceptional on this bar? Is the expansion mostly coming from buyers or from sellers? Is delta unusually strong or weak compared to recent history? 3. Scoring System (Quantum Score) For each bar where a setup is active, RAVM computes a 0–100 score intended as an educational confidence measure. The scoring pipeline follows this sequence: A. RSI Geometry (MSI): Measures the strength of the RSI angle-of-turn via Z-AoT. This has geometric primacy over simple level checks. B. RSI Zone Context: Being below 30 or above 70 contributes only a partial bonus to the score, reflecting the idea that these zones are context, not automatic signals. Mildly supportive zones (e.g., RSI below 50 for bullish contexts) can also contribute with lower weight. C. Total Volume Expansion: A normalized Volume Power term expresses how exceptional the total volume is relative to its recent distribution. If there is no meaningful volume expansion, the score remains modest even if RSI geometry looks interesting. D. Which Side Is Driving the Volume: RAVM then checks whether the expansion is primarily on the buy side or the sell side, using Z-Score statistics for buy and sell volume separately. This stage does not yet rely on delta as a power metric; it simply answers the question: "Is this expansion mostly driven by buyers, sellers, or both?" E. Delta as Final Power: Only at the final stage does the script bring in delta and its Z-Score as a measure of how one-sided the pressure really is. A strong negative delta during a bullish context, for example, can highlight absorption, while a strong positive delta against a bearish context can highlight distribution or a buying climax. If a setup is not geometrically confirmed (for example, a simple entry into RSI 30/70 without a strong geometric turn), RAVM caps the final score below 50%. This "Geometric Veto" enforces the idea that RSI geometry must confirm before a scenario can be considered high-confidence. 4. Overlay UI & Smart Labels RAVM is an overlay indicator: all information is drawn directly on the price chart, not in a separate pane. When a setup is active, a smart label is attached to the bar, together with a vertical connector line. Each label shows: • Direction of the setup (bullish or bearish) • Trigger type (classic OS/OB vs. geometric/hidden) • Status (warning vs. confirmed) • Quantum Score as a percentage Confirmed setups use stronger colors and solid connectors, while warnings use softer colors and dotted connectors. The script also manages label placement to avoid overlap, keeping the chart clean and readable. In addition to labels, a dashboard table is drawn on the chart. It displays the currently active matrix scenario, the dominant bias, a short textual interpretation, the full 5×5 heatmap, and summary metrics such as RSI, MSI, and Volume Power. RSI Is Not Just 30 and 70 One of the central design decisions in RAVM is to treat RSI 30 and 70 as context, not as fixed buy/sell buttons. Many traders mechanically assume that RSI below 30 means "buy" and RSI above 70 means "sell". RAVM explicitly rejects this simplification. Instead, the script asks a series of deeper questions: How sharp is the angle-of-turn of RSI right now? Is total volume expanding or contracting? Is that expansion dominated by buyers or sellers? Is delta confirming the move, or is there a hidden absorption or distribution taking place? In the scoring logic, being in a lower or upper RSI zone contributes only part of the final score. Geometry, volume expansion, the buy/sell split, and delta power all have to align before a high-confidence scenario emerges. This makes RAVM much closer to a structured market-reading tool than a classic overbought/oversold indicator. Matrix User Manual – Reading the 5×5 Grid The heart of RAVM is its 5×5 matrix, where the vertical axis represents momentum states (M1–M5) and the horizontal axis represents volume dynamics (V1–V5). Each cell in this grid corresponds to a VSA-style scenario. The dashboard highlights the currently active cell and prints a textual description so you can read the story at a glance. 1. Confirmation Scenarios These scenarios occur when momentum direction and volume expansion are aligned: • Bullish Confirmation / Strong Reversal: Momentum is shifting strongly upward (often from a depressed RSI context), and expanded volume is driven mainly by buyers. Often seen as a strong bullish reversal or continuation signal from a VSA perspective. • Bearish Confirmation / Strong Drop: Momentum is turning decisively downward, and expanded volume is driven mainly by sellers. This maps to strong bearish continuation or sharp reversal patterns. 2. Absorption & Stopping Volume • Absorption: Total volume expands, but the dominant flow is opposite to the recent price move or the geometric bias. For example, heavy selling volume while the geometric context is bullish. This can indicate smart money quietly absorbing orders from the crowd. • Stopping Volume: Exceptionally high volume appears near the end of an extended move, while momentum begins to decelerate. Price may still print new extremes, but the effort vs. result relationship signals potential exhaustion and the possibility of a turn. 3. Distribution & Buying Climax • Distribution: Heavy buying volume appears within a bearish or topping context. Rather than healthy accumulation, this often represents larger players offloading inventory to late buyers. The matrix will typically flag this as a bearish-leaning scenario despite strong upside prints. • Buying Climax: A surge of buy-side volume near the end of a strong uptrend, with momentum starting to weaken. From a VSA point of view, this is often the last push where retail aggressively buys what smart money is selling. 4. No Demand & No Supply • No Demand: Price attempts to rise but does so on low, non-expansive volume. The market is not interested in following the move, and the lack of participation often precedes weakness or sideways action. • No Supply: Price tries to push lower on thin volume. Selling pressure is limited, and the lack of supply can precede stabilization or recovery if buyers step back in. 5. Trend Exhaustion • Uptrend Exhaustion: Momentum remains nominally bullish, but the quality of volume deteriorates (e.g., more effort, less net result). The matrix marks this as an uptrend losing internal strength, often after a series of aggressive moves. • Downtrend Exhaustion: Similar logic in the opposite direction: strong prior downtrend, but increasingly inefficient downside progress relative to the volume invested. This can precede accumulation or a relief rally. 6. Effort vs. Result Scenarios • Bullish Effort, Little Result: Buyers invest notable volume, but price progress is limited. This may reveal hidden selling into strength or a lack of follow-through from the broader market. • Bearish Effort, Little Result: Sellers push volume, but price does not decline proportionally. This can indicate absorption of selling pressure and potential underlying demand. 7. Neutral, Churn & Thin Markets • Neutral / Thin Market: Momentum and volume both remain muted. RAVM marks these as neutral cells where aggressive decision-making is usually less attractive and observing the broader structure is more important. • High Volume Churn / Volatility: Both sides are active with high volume but limited directional progress. This can correspond to battle zones, local ranges, or high volatility rotations where the main message is conflict rather than clear trend. Inputs & Options RAVM includes several input groups to adapt the tool to your preferences: • Localization: Multiple language options for all labels and dashboard text (e.g., English, Farsi, Turkish, Russian). • RSI Core Settings: RSI length, source, and upper/lower contextual zones (typically around 30 and 70). • Geometric Engine: Z-AoT sigma thresholds, confirmation ratios, and normalization window multiplier. These control how sensitive the script is to RSI angle-of-turn events. • Volume Engine: Choice between geometric approximation and intrabar up/down volume, Z-Score thresholds for volume expansion, and related parameters. • Visual Interface: Toggles for smart labels, dashboard table, font sizes, dashboard position, and color themes for bullish, bearish, and warning states. Disclaimer RSI Analytic Volume Matrix is provided for educational and research purposes only. It does not constitute financial advice and is not a signal generator. Any trading decisions you make based on this tool, or any other, are entirely your own responsibility. Always consider your own risk management rules and conduct your own analysis.
Indicatore Pine Script®
di ata_sabanci
4
TraderDemircan Auto Fibonacci RetracementDescription: What This Indicator Does:This indicator automatically identifies significant swing high and swing low points within a customizable lookback period and draws comprehensive Fibonacci retracement and extension levels between them. Unlike the manual Fibonacci tool that requires you to constantly redraw levels as price action evolves, this automated version continuously updates the Fibonacci grid based on the most recent major swing points, ensuring you always have current and relevant support/resistance zones displayed on your chart.Key Features: Automatic Swing Detection: Continuously scans the specified lookback period to find the most significant high and low points, eliminating manual drawing errors Comprehensive Level Coverage: Plots 16 Fibonacci levels including 7 retracement levels (0.0 to 1.0) and 9 extension levels (1.115 to 3.618) Top-Down Methodology: Draws from swing high to swing low (right-to-left), following the traditional Fibonacci retracement convention where 100% is at the top Dual Labeling System: Shows both exact price values and Fibonacci percentages for easy reference Complete Customization: Individual toggle controls and color selection for each of the 16 levels Flexible Display Options: Adjust line thickness (1-5), style (solid/dashed/dotted), and extension direction (left/right/both) Visual Swing Markers: Red diamond at the swing high (starting point) and green diamond at the swing low (ending point) Optional Trend Line: Connects the two swing points to visualize the overall price movement direction How It Works:The indicator employs a sophisticated swing point detection algorithm that operates in two stages:Stage 1 - Find the Swing Low (Support Base): Scans the entire lookback period to identify the lowest low, which becomes the anchor point (0.0 level in traditional retracement terms, though displayed at the bottom of the grid).Stage 2 - Find the Swing High (Resistance Peak): After identifying the swing low, searches for the highest high that occurred after that low point, establishing the swing range. This creates a valid price movement range for Fibonacci analysis.Fibonacci Calculation Method: The indicator uses the top-down approach where: 1.0 Level = Swing High (100% retracement, the top) 0.0 Level = Swing Low (0% retracement, the bottom) Retracement Levels (0.236 to 0.786) = Potential support zones during pullbacks from the high Extension Levels (1.115 to 3.618) = Potential target zones below the swing low Formula: Price = SwingHigh - (SwingHigh - SwingLow) × FibonacciLevelThis ensures that 0.0 is at the bottom and extensions (>1.0) plot below the swing low, following standard Fibonacci retracement convention.Fibonacci Levels Explained:Retracement Levels (0.0 - 1.0): 0.0 (Gray): Swing low - the base support level 0.236 (Red): Shallow retracement, first minor support 0.382 (Orange): Moderate retracement, commonly watched support 0.5 (Purple): Psychological midpoint, significant support/resistance 0.618 (Blue - Golden Ratio): The most important retracement level, high-probability reversal zone 0.786 (Cyan): Deep retracement, last defense before full reversal 1.0 (Gray): Swing high - the initial resistance level Extension Levels (1.115 - 3.618): 1.115 (Green): First extension, minimal downside target 1.272 (Light Green): Minor extension, common profit target 1.414 (Yellow-Green): Square root of 2, mathematical significance 1.618 (Gold - Golden Extension): Primary downside target, most watched extension level 2.0 (Orange-Red): 200% extension, psychological round number 2.382 (Pink): Secondary extension target 2.618 (Purple): Deep extension, major target zone 3.272 (Deep Purple): Extreme extension level 3.618 (Blue): Maximum extension, rare but powerful target How to Use:For Retracement Trading (Buying Pullbacks in Uptrends): Wait for price to make a significant move up from swing low to swing high When price starts pulling back, watch for reactions at key Fibonacci levels Most common entry zones: 0.382, 0.5, and especially 0.618 (golden ratio) Enter long positions when price shows reversal signals (candlestick patterns, volume increase) at these levels Place stop loss below the next Fibonacci level Target: Return to swing high or higher extension levels For Extension Trading (Profit Targets): After price breaks below the swing low (0.0 level), use extensions as profit targets First target: 1.272 (conservative) Primary target: 1.618 (golden extension - most commonly reached) Extended target: 2.618 (for strong trends) Extreme target: 3.618 (only in powerful trending moves) For Counter-Trend Trading (Fading Extremes): When price reaches deep retracements (0.786 or below), look for exhaustion signals Watch for divergences between price and momentum indicators at these levels Enter reversal trades with tight stops below the swing low Target: 0.5 or 0.382 levels on the bounce For Trend Continuation: In strong uptrends, shallow retracements (0.236 to 0.382) often hold Use these as low-risk entry points to join the existing trend Failure to hold 0.5 suggests weakening momentum Breaking below 0.618 often indicates trend reversal, not just retracement Multi-Timeframe Strategy: Use daily timeframe Fibonacci for major support/resistance zones Use 4H or 1H Fibonacci for precise entry timing within those zones Confluence between multiple timeframe Fibonacci levels creates high-probability zones Example: Daily 0.618 level aligning with 4H 0.5 level = strong support Settings Guide:Lookback Period (10-500): Short (20-50): Captures recent swings, more frequent updates, suited for day trading Medium (50-150): Balanced approach, good for swing trading (default: 100) Long (150-500): Identifies major market structure, suited for position trading Higher values = more stable levels but slower to adapt to new trends Pivot Sensitivity (1-20): Controls how many candles are required to confirm a swing point Low (1-5): More sensitive, identifies minor swings (default: 5) High (10-20): Less sensitive, only major swings qualify Use higher sensitivity on lower timeframes to filter noise Individual Level Toggles: Enable only the levels you actively trade to reduce chart clutter Common minimalist setup: Show only 0.382, 0.5, 0.618, 1.0, 1.618, 2.618 Comprehensive setup: Enable all levels for maximum information Visual Customization: Line Thickness: Thicker lines (3-5) for presentation, thinner (1-2) for trading Line Style: Solid for primary levels (0.5, 0.618, 1.618), dashed/dotted for secondary Price Labels: Essential for knowing exact entry/exit prices Percent Labels: Helpful for quickly identifying which Fibonacci level you're looking at Extension Direction: Extend right for forward-looking analysis, left for historical context What Makes This Original:While Fibonacci indicators are common on TradingView, this script's originality comes from: Intelligent Two-Stage Detection: Unlike simple high/low finders, this uses a sequential approach (find low first, then find the high that occurred after it), ensuring logical price flow representation Comprehensive Level Set: Includes 16 levels spanning from retracement to extreme extensions, more than most Fibonacci tools Top-Down Methodology: Properly implements the traditional Fibonacci retracement convention (high to low) rather than the reverse Automatic Range Validation: Only draws Fibonacci when both swing points are valid and in the correct temporal order Dual Extension Options: Separate controls for extending lines left (historical context) and right (forward projection) Smart Label Positioning: Places percentage labels on the left and price labels on the right for clarity Visual Swing Confirmation: Diamond markers at swing points help users understand why levels are positioned where they are Important Considerations: Historical Nature: Fibonacci retracements are based on past price swings; they don't predict future moves, only suggest potential support/resistance Self-Fulfilling Prophecy: Fibonacci levels work partly because many traders watch them, creating actual support/resistance at those levels Not All Levels Hold: In strong trends, price may slice through multiple Fibonacci levels without pausing Context Matters: Fibonacci works best when aligned with other support/resistance (previous highs/lows, moving averages, trendlines) Volume Confirmation: The most reliable Fibonacci reversals occur with volume spikes at key levels Dynamic Updates: The levels will redraw as new swing highs/lows form, so don't rely solely on static screenshots Best Practices: Don't Trade Blindly: Fibonacci levels are zones, not exact prices. Look for confirmation (candlestick patterns, indicators, volume) Combine with Price Action: Watch for pin bars, engulfing candles, or doji at key Fibonacci levels Use Stop Losses: Place stops beyond the next Fibonacci level to give trades room but limit risk Scale In/Out: Consider entering partial positions at 0.5 and adding more at 0.618 rather than all-in at one level Check Multiple Timeframes: Daily Fibonacci + 4H Fibonacci convergence = high-probability zone Respect the 0.618: This golden ratio level is historically the most reliable for reversals Extensions Need Strong Trends: Don't expect extensions to be hit unless there's clear momentum beyond the swing low Optimal Timeframes: Scalping (1-5 minutes): Lookback 20-30, watch 0.382, 0.5, 0.618 only Day Trading (15m-1H): Lookback 50-100, all retracement levels important Swing Trading (4H-Daily): Lookback 100-200, focus on 0.5, 0.618, 0.786, and extensions Position Trading (Daily-Weekly): Lookback 200-500, all levels relevant for long-term planning Common Fibonacci Trading Mistakes to Avoid: Wrong Swing Selection: Choosing insignificant swings produces meaningless levels Premature Entry: Entering as soon as price touches a Fibonacci level without confirmation Ignoring Trend: Fighting the main trend by buying deep retracements in downtrends Over-Reliance: Using Fibonacci in isolation without confirming with other technical factors Static Analysis: Not updating your Fibonacci as market structure evolves Arbitrary Lookback: Using the same lookback period for all assets and timeframes Integration with Other Tools:Fibonacci + Moving Averages: When 0.618 level aligns with 50 or 200 EMA, confluence creates stronger support Price bouncing from both Fibonacci and MA simultaneously = high-probability trade Fibonacci + RSI/Stochastic: Oversold indicators at 0.618 or deeper retracements = strong buy signal Overbought indicators at swing high (1.0) = potential reversal warning Fibonacci + Volume Profile: High-volume nodes aligning with Fibonacci levels create robust support/resistance Low-volume areas near Fibonacci levels may see rapid price movement through them Fibonacci + Trendlines: Fibonacci retracement level + ascending trendline = double support Breaking both simultaneously confirms trend change Technical Notes: Uses ta.lowest() and ta.highest() for efficient swing detection across the lookback period Implements dynamic line and label arrays for clean redraws without memory leaks All calculations update in real-time as new bars form Extension options allow customization without modifying core code Format.mintick ensures price labels match the symbol's minimum price increment Tooltip on swing markers shows exact price values for precision
Indicatore Pine Script®
di TraderDemircan_
SD Levels + EMASD Levels + EMA Overview: The SD Levels + EMA indicator combines volatility-based standard deviation levels with dual EMA signals to help traders identify potential breakout zones, overextended regions, and trend shifts. It overlays key market structure levels directly on the chart, giving a clear visual roadmap of intraday and daily strength zones. 🧠 Core Features 1. Standard Deviation Levels (SD Module) Calculates volatility using annualized standard deviation from the selected source (hlc3 by default). Automatically plots: Settlement level ±0.33 SD, ±0.66 SD, ±1 SD, ±1.33 SD, ±1.66 SD, ±2 SD bands Optionally displays: Previous day’s high/low Current day’s running high/low These levels help spot volatility extremes, mean reversion zones, and breakout potential. 2. EMA Module Plots two customizable EMAs (default = 5 and 10 periods). Highlights bullish/bearish crossovers with clear up/down triangles. Generates alerts for crossover events. Includes an optional $-spaced grid (default $25) with user-defined levels above and below current price. 3. Visual & Utility Options Optional info table showing: Current Price EMA 5 EMA 10 Real-time trend direction (Bullish ↑, Bearish ↓, Neutral) Lightweight, non-repainting logic optimized for intraday timeframes. User-friendly inputs to toggle each module independently. ⚙️ Recommended Use Combine SD zones with EMA crossovers to confirm volatility-based breakouts or fade reversions near extremes. The extended ±SD ladder helps traders map confluence areas between volatility expansion and EMA momentum. 🛠 Customization Adjust SD sensitivity via level toggles and settlement source. Modify grid spacing, number of levels, and EMA periods. Enable/disable tables, labels, and individual components to match your charting style. 📢 Alerts 🔔 Bullish EMA Cross: EMA 5 crosses above EMA 10 🔔 Bearish EMA Cross: EMA 5 crosses below EMA 10 ⚡ Summary A hybrid indicator that merges volatility-based structure (SD levels) with trend-based momentum (EMA crosses)—ideal for traders who want to visualize both mean-reversion zones and trend continuation opportunities within a single tool.
Indicatore Pine Script®
di thesyjaga
3D Institutional Battlefield [SurgeGuru]Professional Presentation: 3D Institutional Flow Terrain Indicator Overview The 3D Institutional Flow Terrain is an advanced trading visualization tool that transforms complex market structure into an intuitive 3D landscape. This indicator synthesizes multiple institutional data points—volume profiles, order blocks, liquidity zones, and voids—into a single comprehensive view, helping you identify high-probability trading opportunities. Key Features 🎥 Camera & Projection Controls Yaw & Pitch: Adjust viewing angles (0-90°) for optimal perspective Scale Controls: Fine-tune X (width), Y (depth), and Z (height) dimensions Pro Tip: Increase Z-scale to amplify terrain features for better visibility 🌐 Grid & Surface Configuration Resolution: Adjust X (16-64) and Y (12-48) grid density Visual Elements: Toggle surface fill, wireframe, and node markers Optimization: Higher resolution provides more detail but requires more processing power 📊 Data Integration Lookback Period: 50-500 bars of historical analysis Multi-Source Data: Combine volume profile, order blocks, liquidity zones, and voids Weighted Analysis: Each data source contributes proportionally to the terrain height How to Use the Frontend 💛 Price Line Tracking (Your Primary Focus) The yellow price line is your most important guide: Monitor Price Movement: Track how the yellow line interacts with the 3D terrain Identify Key Levels: Watch for these critical interactions: Order Blocks (Green/Red Zones): When yellow price line enters green zones = Bullish order block When yellow price line enters red zones = Bearish order block These represent institutional accumulation/distribution areas Liquidity Voids (Yellow Zones): When yellow price line enters yellow void areas = Potential acceleration zones Voids indicate price gaps where minimal trading occurred Price often moves rapidly through voids toward next liquidity pool Terrain Reading: High Terrain Peaks: High volume/interest areas (support/resistance) Low Terrain Valleys: Low volume areas (potential breakout zones) Color Coding: Green terrain = Bullish volume dominance Red terrain = Bearish volume dominance Purple = Neutral/transition areas 📈 Volume Profile Integration POC (Point of Control): Automatically marks highest volume level Volume Bins: Adjust granularity (10-50 bins) Height Weight: Control how much volume affects terrain elevation 🏛️ Order Block Detection Detection Length: 5-50 bar lookback for block identification Strength Weighting: Recent blocks have greater impact on terrain Candle Body Option: Use full candles or body-only for block definition 💧 Liquidity Zone Tracking Multiple Levels: Track 3-10 key liquidity zones Buy/Sell Side: Different colors for bid/ask liquidity Strength Decay: Older zones have diminishing terrain impact 🌊 Liquidity Void Identification Threshold Multiplier: Adjust sensitivity (0.5-2.0) Height Amplification: Voids create significant terrain depressions Acceleration Zones: Price typically moves quickly through void areas Practical Trading Application Bullish Scenario: Yellow price line approaches green order block terrain Price finds support in elevated bullish volume areas Terrain shows consistent elevation through key levels Bearish Scenario: Yellow price line struggles at red order block resistance Price falls through liquidity voids toward lower terrain Bearish volume peaks dominate the landscape Breakout Setup: Yellow price line consolidates in flat terrain Minimal resistance (low terrain) in projected direction Clear path toward distant liquidity zones Pro Tips Start Simple: Begin with default settings, then gradually customize Focus on Yellow Line: Your primary indicator of current price position Combine Timeframes: Use the same terrain across multiple timeframes for confluence Volume Confirmation: Ensure terrain peaks align with actual volume spikes Void Anticipation: When price enters voids, prepare for potential rapid movement Order Blocks & Voids Architecture Order Blocks Calculation Trigger: Price breaks fractal swing points Bullish OB: When close > swing high → find lowest low in lookback period Bearish OB: When close < swing low → find highest high in lookback period Strength: Based on price distance from block extremes Storage: Global array maintains last 50 blocks with FIFO management Liquidity Voids Detection Trigger: Price gaps exceeding ATR threshold Bull Void: Low - high > (ATR200 × multiplier) Bear Void: Low - high > (ATR200 × multiplier) Validation: Close confirms gap direction Storage: Global array maintains last 30 voids Key Design Features Real-time Updates: Calculated every bar, not just on last bar Global Persistence: Arrays maintain state across executions FIFO Management: Automatic cleanup of oldest entries Configurable Sensitivity: Adjustable lookback periods and thresholds Scientific Testing Framework Hypothesis Testing Primary Hypothesis: 3D terrain visualization improves detection of institutional order flow vs traditional 2D charts Testable Metrics: Prediction Accuracy: Does terrain structure predict future support/resistance? Reaction Time: Faster identification of key levels vs conventional methods False Positive Reduction: Lower rate of failed breakouts/breakdowns Control Variables Market Regime: Trending vs ranging conditions Asset Classes: Forex, equities, cryptocurrencies Timeframes: M5 to H4 for intraday, D1 for swing Volume Conditions: High vs low volume environments Data Collection Protocol Terrain Features to Quantify: Slope gradient changes at price inflection points Volume peak clustering density Order block terrain elevation vs subsequent price action Void depth correlation with momentum acceleration Control Group: Traditional support/resistance + volume profile Experimental Group: 3D Institutional Flow Terrain Statistical Measures Signal-to-Noise Ratio: Terrain features vs random price movements Lead Time: Terrain formation ahead of price confirmation Effect Size: Performance difference between groups (Cohen's d) Statistical Power: Sample size requirements for significance Validation Methodology Blind Testing: Remove price labels from terrain screenshots Have traders identify key levels from terrain alone Measure accuracy vs actual price action Backtesting Framework: Automated terrain feature extraction Correlation with future price reversals/breakouts Monte Carlo simulation for significance testing Expected Outcomes If hypothesis valid: Significant improvement in level prediction accuracy (p < 0.05) Reduced latency in institutional level identification Higher risk-reward ratios on terrain-confirmed trades Research Questions: Does terrain elevation reliably indicate institutional interest zones? Are liquidity voids statistically significant momentum predictors? Does multi-timeframe terrain analysis improve signal quality? How does terrain persistence correlate with level strength? LuxAlgo BigBeluga hapharmonic
Indicatore Pine Script®
di SurgeGuru
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