Inizia

Multitimeframe

Mariam Market DashboardMariam Market Dashboard – A Quick Guide Purpose: Shows if the market is trending, volatile, or stuck so you can decide when to trade or wait. How to Use Add the indicator to your chart. Adjust basic settings like EMA, RSI, ATR lengths, and timezone if needed. Use it before entering any trade to confirm market conditions. What Each Metric Means (with general ranges) Session: Identifies which market session is active (New York, London, Tokyo). Trend: Shows current market direction. “Up” means price above EMA and VWAP, “Down” means price below. Use this to confirm bullish or bearish bias. HTF Trend: Confirms trend on a higher timeframe for stronger signals. ATR (Average True Range): Measures market volatility or price movement speed. Low ATR (e.g., below 0.5% of price) means quiet or slow market; high ATR (above 1% of price) means volatile or fast-moving market, good for active trades. Strong Bar: A candlestick closing near its high (above 75% of range) indicates strong buying momentum; closing near its low indicates strong selling momentum. Higher Volume: Volume higher than average (typically 10-20% above normal) means more market activity and stronger moves. Volume / Avg Volume: Ratio above 1.2 (120%) shows volume is significantly higher than usual, signaling strong interest. RVol % (Relative Volume %): Above 100% means volume is hotter than normal, increasing chances of strong moves; below 50% means low activity and possible indecision. Delta: Difference between buying and selling volume (if available). A positive delta means buyers dominate; negative means sellers dominate. ADX (Average Directional Index): Measures trend strength: Below 20 means weak or no trend; Above 25 means strong trend; Between 20-25 is moderate trend. RSI (Relative Strength Index): Momentum oscillator: Below 30 = oversold (potential buy); Above 70 = overbought (potential sell); Between 40-60 means neutral momentum. MACD: Confirms momentum direction: Positive MACD histogram bars indicate bullish momentum; Negative bars indicate bearish momentum. Choppiness Index: Measures how much the market is ranging versus trending: Above 60 = very choppy/sideways market; Below 40 = trending market. Consolidation: When true, price is stuck in a narrow range, signaling indecision. Avoid breakout trades during this. Quick Trading Reminder Trade only when the trend is clear and volume is above average. Avoid trading in low volume or choppy markets.
Indicatore Pine Script®
di alghamdi_meriam
Categorical Market Morphisms (CMM)Categorical Market Morphisms (CMM) - Where Abstract Algebra Transcends Reality A Revolutionary Application of Category Theory and Homotopy Type Theory to Financial Markets Bridging Pure Mathematics and Market Analysis Through Functorial Dynamics Theoretical Foundation: The Mathematical Revolution Traditional technical analysis operates on Euclidean geometry and classical statistics. The Categorical Market Morphisms (CMM) indicator represents a paradigm shift - the first application of Category Theory and Homotopy Type Theory to financial markets. This isn't merely another indicator; it's a mathematical framework that reveals the hidden algebraic structure underlying market dynamics. Category Theory in Markets Category theory, often called "the mathematics of mathematics," studies structures and the relationships between them. In market terms: Objects = Market states (price levels, volume conditions, volatility regimes) Morphisms = State transitions (price movements, volume changes, volatility shifts) Functors = Structure-preserving mappings between timeframes Natural Transformations = Coherent changes across multiple market dimensions The Morphism Detection Engine The core innovation lies in detecting morphisms - the categorical arrows representing market state transitions: Morphism Strength = exp(-normalized_change × (3.0 / sensitivity)) Threshold = 0.3 - (sensitivity - 1.0) × 0.15 This exponential decay function captures how market transitions lose coherence over distance, while the dynamic threshold adapts to market sensitivity. Functorial Analysis Framework Markets must preserve structure across timeframes to maintain coherence. Our functorial analysis verifies this through composition laws: Composition Error = |f(BC) × f(AB) - f(AC)| / |f(AC)| Functorial Integrity = max(0, 1.0 - average_error) When functorial integrity breaks down, market structure becomes unstable - a powerful early warning system. Homotopy Type Theory: Path Equivalence in Markets The Revolutionary Path Analysis Homotopy Type Theory studies when different paths can be continuously deformed into each other. In markets, this reveals arbitrage opportunities and equivalent trading paths: Path Distance = Σ(weight × |normalized_path1 - normalized_path2|) Homotopy Score = (correlation + 1) / 2 × (1 - average_distance) Equivalence Threshold = 1 / (threshold × √univalence_strength) The Univalence Axiom in Trading The univalence axiom states that equivalent structures can be treated as identical. In trading terms: when price-volume paths show homotopic equivalence with RSI paths, they represent the same underlying market structure - creating powerful confluence signals. Universal Properties: The Four Pillars of Market Structure Category theory's universal properties reveal fundamental market patterns: Initial Objects (Market Bottoms) Mathematical Definition = Unique morphisms exist FROM all other objects TO the initial object Market Translation = All selling pressure naturally flows toward the bottom Detection Algorithm: Strength = local_low(0.3) + oversold(0.2) + volume_surge(0.2) + momentum_reversal(0.2) + morphism_flow(0.1) Signal = strength > 0.4 AND morphism_exists Terminal Objects (Market Tops) Mathematical Definition = Unique morphisms exist FROM the terminal object TO all others Market Translation = All buying pressure naturally flows away from the top Product Objects (Market Equilibrium) Mathematical Definition = Universal property combining multiple objects into balanced state Market Translation = Price, volume, and volatility achieve multi-dimensional balance Coproduct Objects (Market Divergence) Mathematical Definition = Universal property representing branching possibilities Market Translation = Market bifurcation points where multiple scenarios become possible Consciousness Detection: Emergent Market Intelligence The most groundbreaking feature detects market consciousness - when markets exhibit self-awareness through fractal correlations: Consciousness Level = Σ(correlation_levels × weights) × fractal_dimension Fractal Score = log(range_ratio) / log(memory_period) Multi-Scale Awareness: Micro = Short-term price-SMA correlations Meso = Medium-term structural relationships Macro = Long-term pattern coherence Volume Sync = Price-volume consciousness Volatility Awareness = ATR-change correlations When consciousness_level > threshold , markets display emergent intelligence - self-organizing behavior that transcends simple mechanical responses. Advanced Input System: Precision Configuration Categorical Universe Parameters Universe Level (Type_n) = Controls categorical complexity depth Type 1 = Price only (pure price action) Type 2 = Price + Volume (market participation) Type 3 = + Volatility (risk dynamics) Type 4 = + Momentum (directional force) Type 5 = + RSI (momentum oscillation) Sector Optimization: Crypto = 4-5 (high complexity, volume crucial) Stocks = 3-4 (moderate complexity, fundamental-driven) Forex = 2-3 (low complexity, macro-driven) Morphism Detection Threshold = Golden ratio optimized (φ = 0.618) Lower values = More morphisms detected, higher sensitivity Higher values = Only major transformations, noise reduction Crypto = 0.382-0.618 (high volatility accommodation) Stocks = 0.618-1.0 (balanced detection) Forex = 1.0-1.618 (macro-focused) Functoriality Tolerance = φ⁻² = 0.146 (mathematically optimal) Controls = composition error tolerance Trending markets = 0.1-0.2 (strict structure preservation) Ranging markets = 0.2-0.5 (flexible adaptation) Categorical Memory = Fibonacci sequence optimized Scalping = 21-34 bars (short-term patterns) Swing = 55-89 bars (intermediate cycles) Position = 144-233 bars (long-term structure) Homotopy Type Theory Parameters Path Equivalence Threshold = Golden ratio φ = 1.618 Volatile markets = 2.0-2.618 (accommodate noise) Normal conditions = 1.618 (balanced) Stable markets = 0.786-1.382 (sensitive detection) Deformation Complexity = Fibonacci-optimized path smoothing 3,5,8,13,21 = Each number provides different granularity Higher values = smoother paths but slower computation Univalence Axiom Strength = φ² = 2.618 (golden ratio squared) Controls = how readily equivalent structures are identified Higher values = find more equivalences Visual System: Mathematical Elegance Meets Practical Clarity The Morphism Energy Fields (Red/Green Boxes) Purpose = Visualize categorical transformations in real-time Algorithm: Energy Range = ATR × flow_strength × 1.5 Transparency = max(10, base_transparency - 15) Interpretation: Green fields = Bullish morphism energy (buying transformations) Red fields = Bearish morphism energy (selling transformations) Size = Proportional to transformation strength Intensity = Reflects morphism confidence Consciousness Grid (Purple Pattern) Purpose = Display market self-awareness emergence Algorithm: Grid_size = adaptive(lookback_period / 8) Consciousness_range = ATR × consciousness_level × 1.2 Interpretation: Density = Higher consciousness = denser grid Extension = Cloud lookback controls historical depth Intensity = Transparency reflects awareness level Homotopy Paths (Blue Gradient Boxes) Purpose = Show path equivalence opportunities Algorithm: Path_range = ATR × homotopy_score × 1.2 Gradient_layers = 3 (increasing transparency) Interpretation: Blue boxes = Equivalent path opportunities Gradient effect = Confidence visualization Multiple layers = Different probability levels Functorial Lines (Green Horizontal) Purpose = Multi-timeframe structure preservation levels Innovation = Smart spacing prevents overcrowding Min_separation = price × 0.001 (0.1% minimum) Max_lines = 3 (clarity preservation) Features: Glow effect = Background + foreground lines Adaptive labels = Only show meaningful separations Color coding = Green (preserved), Orange (stressed), Red (broken) Signal System: Bull/Bear Precision 🐂 Initial Objects = Bottom formations with strength percentages 🐻 Terminal Objects = Top formations with confidence levels ⚪ Product/Coproduct = Equilibrium circles with glow effects Professional Dashboard System Main Analytics Dashboard (Top-Right) Market State = Real-time categorical classification INITIAL OBJECT = Bottom formation active TERMINAL OBJECT = Top formation active PRODUCT STATE = Market equilibrium COPRODUCT STATE = Divergence/bifurcation ANALYZING = Processing market structure Universe Type = Current complexity level and components Morphisms: ACTIVE (X%) = Transformations detected, percentage shows strength DORMANT = No significant categorical changes Functoriality: PRESERVED (X%) = Structure maintained across timeframes VIOLATED (X%) = Structure breakdown, instability warning Homotopy: DETECTED (X%) = Path equivalences found, arbitrage opportunities NONE = No equivalent paths currently available Consciousness: ACTIVE (X%) = Market self-awareness emerging, major moves possible EMERGING (X%) = Consciousness building DORMANT = Mechanical trading only Signal Monitor & Performance Metrics (Left Panel) Active Signals Tracking: INITIAL = Count and current strength of bottom signals TERMINAL = Count and current strength of top signals PRODUCT = Equilibrium state occurrences COPRODUCT = Divergence event tracking Advanced Performance Metrics: CCI (Categorical Coherence Index): CCI = functorial_integrity × (morphism_exists ? 1.0 : 0.5) STRONG (>0.7) = High structural coherence MODERATE (0.4-0.7) = Adequate coherence WEAK (<0.4) = Structural instability HPA (Homotopy Path Alignment): HPA = max_homotopy_score × functorial_integrity ALIGNED (>0.6) = Strong path equivalences PARTIAL (0.3-0.6) = Some equivalences WEAK (<0.3) = Limited path coherence UPRR (Universal Property Recognition Rate): UPRR = (active_objects / 4) × 100% Percentage of universal properties currently active TEPF (Transcendence Emergence Probability Factor): TEPF = homotopy_score × consciousness_level × φ Probability of consciousness emergence (golden ratio weighted) MSI (Morphological Stability Index): MSI = (universe_depth / 5) × functorial_integrity × consciousness_level Overall system stability assessment Overall Score = Composite rating (EXCELLENT/GOOD/POOR) Theory Guide (Bottom-Right) Educational reference panel explaining: Objects & Morphisms = Core categorical concepts Universal Properties = The four fundamental patterns Dynamic Advice = Context-sensitive trading suggestions based on current market state Trading Applications: From Theory to Practice Trend Following with Categorical Structure Monitor functorial integrity = only trade when structure preserved (>80%) Wait for morphism energy fields = red/green boxes confirm direction Use consciousness emergence = purple grids signal major move potential Exit on functorial breakdown = structure loss indicates trend end Mean Reversion via Universal Properties Identify Initial/Terminal objects = 🐂/🐻 signals mark extremes Confirm with Product states = equilibrium circles show balance points Watch Coproduct divergence = bifurcation warnings Scale out at Functorial levels = green lines provide targets Arbitrage through Homotopy Detection Blue gradient boxes = indicate path equivalence opportunities HPA metric >0.6 = confirms strong equivalences Multiple timeframe convergence = strengthens signal Consciousness active = amplifies arbitrage potential Risk Management via Categorical Metrics Position sizing = Based on MSI (Morphological Stability Index) Stop placement = Tighter when functorial integrity low Leverage adjustment = Reduce when consciousness dormant Portfolio allocation = Increase when CCI strong Sector-Specific Optimization Strategies Cryptocurrency Markets Universe Level = 4-5 (full complexity needed) Morphism Sensitivity = 0.382-0.618 (accommodate volatility) Categorical Memory = 55-89 (rapid cycles) Field Transparency = 1-5 (high visibility needed) Focus Metrics = TEPF, consciousness emergence Stock Indices Universe Level = 3-4 (moderate complexity) Morphism Sensitivity = 0.618-1.0 (balanced) Categorical Memory = 89-144 (institutional cycles) Field Transparency = 5-10 (moderate visibility) Focus Metrics = CCI, functorial integrity Forex Markets Universe Level = 2-3 (macro-driven) Morphism Sensitivity = 1.0-1.618 (noise reduction) Categorical Memory = 144-233 (long cycles) Field Transparency = 10-15 (subtle signals) Focus Metrics = HPA, universal properties Commodities Universe Level = 3-4 (supply/demand dynamics) [/b Morphism Sensitivity = 0.618-1.0 (seasonal adaptation) Categorical Memory = 89-144 (seasonal cycles) Field Transparency = 5-10 (clear visualization) Focus Metrics = MSI, morphism strength Development Journey: Mathematical Innovation The Challenge Traditional indicators operate on classical mathematics - moving averages, oscillators, and pattern recognition. While useful, they miss the deeper algebraic structure that governs market behavior. Category theory and homotopy type theory offered a solution, but had never been applied to financial markets. The Breakthrough The key insight came from recognizing that market states form a category where: Price levels, volume conditions, and volatility regimes are objects Market movements between these states are morphisms The composition of movements must satisfy categorical laws This realization led to the morphism detection engine and functorial analysis framework . Implementation Challenges Computational Complexity = Category theory calculations are intensive Real-time Performance = Markets don't wait for mathematical perfection Visual Clarity = How to display abstract mathematics clearly Signal Quality = Balancing mathematical purity with practical utility User Accessibility = Making PhD-level math tradeable The Solution After months of optimization, we achieved: Efficient algorithms = using pre-calculated values and smart caching Real-time performance = through optimized Pine Script implementation Elegant visualization = that makes complex theory instantly comprehensible High-quality signals = with built-in noise reduction and cooldown systems Professional interface = that guides users through complexity Advanced Features: Beyond Traditional Analysis Adaptive Transparency System Two independent transparency controls: Field Transparency = Controls morphism fields, consciousness grids, homotopy paths Signal & Line Transparency = Controls signals and functorial lines independently This allows perfect visual balance for any market condition or user preference. Smart Functorial Line Management Prevents visual clutter through: Minimum separation logic = Only shows meaningfully separated levels Maximum line limit = Caps at 3 lines for clarity Dynamic spacing = Adapts to market volatility Intelligent labeling = Clear identification without overcrowding Consciousness Field Innovation Adaptive grid sizing = Adjusts to lookback period Gradient transparency = Fades with historical distance Volume amplification = Responds to market participation Fractal dimension integration = Shows complexity evolution Signal Cooldown System Prevents overtrading through: 20-bar default cooldown = Configurable 5-100 bars Signal-specific tracking = Independent cooldowns for each signal type Counter displays = Shows historical signal frequency Performance metrics = Track signal quality over time Performance Metrics: Quantifying Excellence Signal Quality Assessment Initial Object Accuracy = >78% in trending markets Terminal Object Precision = >74% in overbought/oversold conditions Product State Recognition = >82% in ranging markets Consciousness Prediction = >71% for major moves Computational Efficiency Real-time processing = <50ms calculation time Memory optimization = Efficient array management Visual performance = Smooth rendering at all timeframes Scalability = Handles multiple universes simultaneously User Experience Metrics Setup time = <5 minutes to productive use Learning curve = Accessible to intermediate+ traders Visual clarity = No information overload Configuration flexibility = 25+ customizable parameters Risk Disclosure and Best Practices Important Disclaimers The Categorical Market Morphisms indicator applies advanced mathematical concepts to market analysis but does not guarantee profitable trades. Markets remain inherently unpredictable despite underlying mathematical structure. Recommended Usage Never trade signals in isolation = always use confluence with other analysis Respect risk management = categorical analysis doesn't eliminate risk Understand the mathematics = study the theoretical foundation Start with paper trading = master the concepts before risking capital Adapt to market regimes = different markets need different parameters Position Sizing Guidelines High consciousness periods = Reduce position size (higher volatility) Strong functorial integrity = Standard position sizing Morphism dormancy = Consider reduced trading activity Universal property convergence = Opportunities for larger positions Educational Resources: Master the Mathematics Recommended Reading "Category Theory for the Sciences" = by David Spivak "Homotopy Type Theory" = by The Univalent Foundations Program "Fractal Market Analysis" = by Edgar Peters "The Misbehavior of Markets" = by Benoit Mandelbrot Key Concepts to Master Functors and Natural Transformations Universal Properties and Limits Homotopy Equivalence and Path Spaces Type Theory and Univalence Fractal Geometry in Markets The Categorical Market Morphisms indicator represents more than a new technical tool - it's a paradigm shift toward mathematical rigor in market analysis. By applying category theory and homotopy type theory to financial markets, we've unlocked patterns invisible to traditional analysis. This isn't just about better signals or prettier charts. It's about understanding markets at their deepest mathematical level - seeing the categorical structure that underlies all price movement, recognizing when markets achieve consciousness, and trading with the precision that only pure mathematics can provide. Why CMM Dominates Mathematical Foundation = Built on proven mathematical frameworks Original Innovation = First application of category theory to markets Professional Quality = Institution-grade metrics and analysis Visual Excellence = Clear, elegant, actionable interface Educational Value = Teaches advanced mathematical concepts Practical Results = High-quality signals with risk management Continuous Evolution = Regular updates and enhancements The DAFE Trading Systems Difference At DAFE Trading Systems, we don't just create indicators - we advance the science of market analysis. Our team combines: PhD-level mathematical expertise Real-world trading experience Cutting-edge programming skills Artistic visual design Educational commitment The result? Trading tools that don't just show you what happened - they reveal why it happened and predict what comes next through the lens of pure mathematics. "In mathematics you don't understand things. You just get used to them." - John von Neumann "The market is not just a random walk - it's a categorical structure waiting to be discovered." - DAFE Trading Systems Trade with Mathematical Precision. Trade with Categorical Market Morphisms. Created with passion for mathematical excellence, and empowering traders through mathematical innovation. — Dskyz, Trade with insight. Trade with anticipation.
Indicatore Pine Script®
di DskyzInvestments
5
AWR Pearsons R & LR Oscillator MTF1. Overview This indicator is designed to analyze the correlation between a price series (or any custom indicator) and the bar index using Pearson’s correlation coefficient. It performs multiple linear regressions over shifted periods and then aggregates these results to create an oscillator. In addition, it integrates a multi-timeframe (MTF) analysis by retrieving the same calculations on 3 different time intervals, providing a more comprehensive view of the trend evolution. 2. User Parameters The indicator offers several configurable parameters that allow the user to adjust both the calculations and the display: Source (Linear Regression): The data source on which the regressions are applied (by default, the closing price). Number of Linear Regressions (numOfLinReg): Allows choosing the number of correlation calculations (up to 10) to be carried out on different shifted periods. Start Period (startPeriod) and Period Increment (periodIncrement): These parameters define the reference window for each regression. The calculation starts with a base period and then increases with each regression by a fixed increment, creating several time windows to assess the relationship between price evolution and time progression. Deviation (def_deviation): Although defined, this parameter is intended to control the sensitivity of the calculations. It can be used in further developments of the indicator. For Multi Time Frames analysis, three additional timeframes are provided through inputs in addition of the current period: Sum up : Timeframe 1 = current Timeframe 2 = 30-minute (default settings) Timeframe 3 = 1-hour (default settings) Timeframe 4 = 4-hour (default settings) These different timeframes allow you to obtain consistent or divergent signals over multiple resolutions, thereby enhancing the confidence of trading decisions. 3. Calculation Logic At the core of the indicator is the f_calcConditions() function, which performs several essential tasks: Calculating Pearson's Coefficients For each linear regression, the script uses ta.correlation() to measure the correlation between the chosen source (for example, the closing price) and the chronological index (bar_index). Up to 10 coefficients are computed over shifted windows, providing an evolving view of the linear relationship over different intervals. Averaging the Results Once the coefficients are calculated, they are stored in an array and averaged to produce a global correlation value called avgPR_local. Applying Moving Averages The resulting average is then smoothed using several moving averages (SMA): A short-term SMA (period of 14), An intermediate SMA (period of 100), A long-term SMA (period of 400). These moving averages help to highlight the underlying trend of the oscillator by indicating the direction in which the correlation is moving. Defining Trading Conditions Based on avgPR_local and its associated SMAs, multiple conditions are set to generate buy or sell signals: Simple SMA Conditions : Small signal : Light blue below bar signal : When the averaged coefficients lie between -1 and -0.63, are above the short-term SMA (14 periods), and are increasing, it may indicate a bullish dynamic (buy signal). Orange above bar signal : Conversely, when the value is higher (between 0.63 and 1) and below its SMA (14 periods), and are decreasing the trend is considered bearish (sell signal). Medium signal : Dark green signal When the averaged coefficients lie between -1 and -0.45, are above the short-term SMA (14 periods), and are increasing, and also the average 100 is increasing. It may indicate a bullish dynamic (buy signal). Light red signal : Conversely, when the value is higher (between 0.45 and 1) and below its SMA (14 periods), the trend and are decreasing, and also the average 100 is decreasing. It may indicate a bearish dynamic(sell signal). Light green signal : When the averaged coefficients lie between -1 and -0.15, are above the short-term SMA (14 periods), and are increasing, and also the average 100 & 400 is increasing . It may indicate a bullish dynamic (buy signal). Dark red signal : Conversely, when the value is higher (between 0.45 and 1) and below its SMA (14 periods), the trend and are decreasing, and also the average 100 & 400 is decreasing. It may indicate a bearish dynamic(sell signal). These additional conditions further refine the signals by verifying the consistency of the movement over longer periods. They check that the trends from the respective averages (intermediate and long-term) are in line with the direction indicated by the initial moving average. These conditions are designed to capture moments when the oscillator's dynamics change, which can be interpreted as opportunities to enter or exit a trade. 4. Multi-Timeframes and Display One of the main strengths of this indicator is its multi-timeframe approach. This offers several advantages: Comparative Analysis: Compare short-term dynamics with broader trends. Enhanced Signal Reliability: A signal confirmed across multiple timeframes has a higher probability of success. To visually highlight these signals on the chart, the indicator uses the plotchar() function with distinct symbols for each timeframe: Current Timeframe: Signals are represented by the character "1" 30-Minute Timeframe: Displayed with the character "2". 1-Hour Timeframe: Displayed with the character "3". 4-Hour Timeframe: Displayed with the character "4". The colors used are various shades of green for buy signals and shades of red/orange for sell signals, making it easy to distinguish between the different alerts. 5. Integrated Alerts To avoid missing any trading opportunities, the indicator includes an alert condition via the alertcondition() function. This alert is triggered if any buy or sell signal is generated on any of the analyzed timeframes. The message "MTF valide" indicates that multiple timeframes are confirming the signal, enabling more informed decision-making. 6. How to Use This Indicator Installation and Configuration: Copy the script into the TradingView Pine Script editor and add it to your chart. The default parameters can be tuned according to market behavior or personal preferences regarding sensitivity and responsiveness. Interpreting the Signals: Watch for the symbols on the chart corresponding to each timeframe. A buy signal appears as a specific symbol below the bar (indicating a bullish condition based on a rising or less negative correlation), while a sell signal appears above the bar. Multi-Timeframe Analysis: By comparing signals across timeframes, you can filter out false signals. For example, if the short-term timeframe shows a buy signal but the 4-hour timeframe indicates a bearish trend, you may need to reassess your position. Adjusting the Settings: Depending on the asset type or market volatility, you might need to tweak the periods (startPeriod, periodIncrement) or the number of linear regressions to generate signals that better align with the price dynamics. Using Alerts: Activate the built-in alert feature so that TradingView notifies you as soon as a multi-timeframe signal is detected. This ensures you stay informed even if you are not continuously monitoring the chart. In Conclusion The AWR Pearsons R & LR Oscillator MTF is a powerful tool for traders seeking a detailed understanding of market trends by combining statistical rigor (via Pearson's correlation coefficient) with a multi-timeframe approach. It is capable of generating clear entry and exit signals, visualized with specific symbols and colors depending on the timeframe. By adjusting the parameters to match your trading strategy and leveraging the alert system, you now have a robust instrument for making well-informed market decisions. Feel free to dive deeper into each component and experiment with different configurations to see how the oscillator integrates with your overall technical analysis strategy. Enjoy exploring its potential and refining your trading approach!
Indicatore Pine Script®
di AlwwAl
Previous Two Days HL + Asia H/L + 4H Vertical Lines📊 Indicator Overview This custom TradingView indicator visually marks key market structure levels and session data on your chart using lines, labels, boxes, and vertical guides. It is designed for traders who analyze intraday and multi-session behavior — especially around the New York and Asia sessions — with a focus on 4-hour price ranges. 🔍 What the Indicator Tracks 1. Previous Two Days' Ranges (6PM–5PM NY Time) PDH/PDL (Day 1 & Day 2): Draws horizontal lines marking the previous two trading days’ highs and lows. Midlines: Calculates and displays the midpoint between each day’s high and low. Color-Coded: Uses strong colors for Day 1 and more transparent versions for Day 2, to help differentiate them. 2. Asia Session High/Low (6 PM – 2 AM NY Time) Automatically tracks the high and low during the Asia session. Extends these levels until the following day’s NY close (4 PM). Shows a midline of the Asia session (optional dotted line). Highlights the Asia session background in gray. Labels Asia High and Low on the chart for easy reference. 3. Last Closed 4-Hour Candle Range At the start of every new 4H candle, it: Draws a box from the last closed 4H candle. Box spans horizontally across a set number of bars (adjustable). Top and bottom lines indicate the high and low of that 4H candle. Midline, 25% (Q1) and 75% (Q3) levels are also drawn inside the box using dotted lines. Helps traders identify premium/discount zones within the previous 4H range. 4. Vertical 4H Time Markers Draws vertical dashed lines to mark the start and end of the last 4H candle range. Based on the standard 4H bar timing in NY (e.g. 5:00, 9:00, 13:00, 17:00). ⚙️ Inputs & Options Line thickness, color customization for all levels. Option to place labels on the right or left side of the chart. Toggle for enabling/disabling the 4H box. Adjustable box extension length (how far to extend the range visually). ✅ Ideal Use Cases Identifying reaction zones from prior highs/lows. Spotting reversals during Asia or NY session opens. Trading intraday setups based on 4H structure. Anchoring scalping or swing entries off major session levels.
Indicatore Pine Script®
di barton_evan
Higher Timeframe Market StructureHTF Market Structure – ZigZag, Break of Structure & Supply/Demand This powerful indicator is designed to identify higher-timeframe market structure using a combination of ZigZag patterns, Break of Structure (BOS) signals, and Supply/Demand zones. Key Features: Automatic detection of Higher Highs (HH), Higher Lows (HL), Lower Lows (LL), and Lower Highs (LH) Internal structure shifts based on Open or High/Low logic Supply and Demand zones plotted on the chart Break of Structure (BOS) lines with optional alerts Mitigation logic to mark or delete invalidated order blocks Customizable aggregation factor to view higher time frame structure on lower time frames How to Use: Focus on market structure and BOS to understand the current trend. Watch for internal shifts as early signals of potential reversals. Use ZigZag lines to connect swing highs and lows to visualize market rhythm. Supply zones (red) and Demand zones (green) are automatically drawn after structure breaks: Use Demand Zones in Bullish Markets for the highest probability entries. Use Supply Zones in Bearish Markets to align with the prevailing trend. Best Practices: Only use Demand Zones in Bullish markets and Supply Zones in Bearish markets for optimal results. Look for price action or reversal signals within these zones to refine your entries. Enable alerts to get notified on: New order blocks Internal shifts BOS events HH, HL, LL, LH formations Liquidity sweeps Customization Options: Aggregation Factor: Control how many candles are grouped for structure analysis. Zone Duration: Define how length of plotted zones. Mitigation Settings: Automatically delete or fade zones after mitigation. Colors: Choose custom colors for bullish and bearish zones and structure markers. This tool is ideal for traders who rely on price action, structure, and smart money concepts. Combine it with your own S&D strategy or integrate it with other confluence tools for even better precision.
Indicatore Pine Script®
di The_Forex_Steward
7
Liquidity mark-out indicator(by Lumiere)This indicator marks out every High that has a bullish candle followed by a bearish one, vice versa for lows. Once the price reaches the marked-out liquidity, the line is removed automatically. This indicator only shows the current liquidity of the time frame you are at. (To get it look like the picture just chance the length to 30-50) Key Features of the Liquidity Mark-Out Indicator: 🔹 Identifies Liquidity Zones – Marks highs and lows based on candlestick patterns. 🔹 Customizable Settings – Toggle highs/lows visibility 🎚️, adjust line colors 🎨, and set line length (bars) 📏. 🔹 Smart Clean-Up – Automatically removes swept levels (when price breaks through) for a clean chart 🧹. 🔹 Pattern-Based Detection – Highs: Detects two-candle reversal patterns (🟢 bullish close → 🔴 bearish close). Lows: Detects two-candle reversal patterns (🔴 bearish close → 🟢 bullish close). 🔹 Dynamic Lines – Projects liquidity levels forward (adjustable length) to track key zones 📈. Perfect For Traders Looking To: ✅ Spot potential liquidity grabs 🎯 ✅ Identify key support/resistance levels 🛑 ✅ Clean up their chart from outdated levels 🖥️
Indicatore Pine Script®
di Lumiere-Stocks
3
Chaikin Oscillator Multi-Timeframe BiasOverview Chaikin Oscillator Multi-Timeframe Bias is an indicator designed to help traders align with institutional buying and selling activity by analyzing Chaikin Oscillator signals across two timeframes—a higher timeframe (HTF) for trend bias and a lower timeframe (LTF) for timing. This dual-confirmation model helps traders avoid false breakouts and trade in sync with market momentum and accumulation or distribution dynamics. Core Concepts The Chaikin Oscillator measures the momentum of accumulation and distribution based on price and volume. Institutional traders typically accumulate slowly and steadily, and the Chaikin Oscillator helps reveal this pattern. Multi-timeframe analysis confirms whether short-term price action supports the longer-term trend. This indicator applies a smoothing EMA to each Chaikin Oscillator to help confirm direction and reduce noise. How to Use the Indicator Start by selecting your timeframes. The higher timeframe, set by default to Daily, establishes the broader directional bias. The lower timeframe, defaulted to 30 minutes, identifies short-term momentum confirmation. The indicator displays one of five labels: CALL Bias, CALL Wait, PUT Bias, PUT Wait, or NEUTRAL. CALL Bias means both HTF and LTF are bullish, signaling a potential opportunity for long or call trades. CALL Wait indicates that the HTF is bullish, but the LTF hasn’t confirmed yet. PUT Bias signals bearish alignment in both HTF and LTF, while PUT Wait indicates HTF is bearish and LTF has not yet confirmed. NEUTRAL means there is no alignment between timeframes and directional trades are not advised. Interpretation When the Chaikin Oscillator is above zero and also above its EMA, this indicates bullish momentum and accumulation. When the oscillator is below zero and below its EMA, it suggests bearish momentum and distribution. Bias labels identify when both timeframes are aligned for a higher-probability directional setup. When a “Wait” label appears, it means one timeframe has confirmed bias but the other has not, suggesting the trader should monitor closely but delay entry. Notes This indicator includes alerts for both CALL and PUT bias confirmation when both timeframes are aligned. It works on all asset classes, including stocks, ETFs, cryptocurrencies, and futures. Timeframes are fully customizable, and users may explore combinations such as 1D and 1H, or 4H and 15M depending on their strategy. For best results, consider pairing this tool with volume, volatility, or price action analysis.
Indicatore Pine Script®
di scottivey
Codigo Trading 1.0📌Codigo Trading 1.0 This indicator strategically combines SuperTrend, multiple Exponential Moving Averages (EMAs), the Relative Strength Index (RSI), and the Average True Range (ATR) to offer clear entry and exit signals, as well as an in-depth view of market trends. Ideal for traders looking to optimize their operations with an all-in-one tool. 🔩How the Indicator Works: This indicator relies on the interaction and confirmation of several key components to generate signals: SuperTrend: Determines the primary trend direction. An uptrend SuperTrend signal (green line) indicates an upward trend, while a downtrend (red line) signals a downward trend. It also serves as a guide for setting Stop Loss and Take Profit levels. EMAs: Includes EMAs of 10, 20, 55, 100, 200, and 325 periods. The relationship between the EMA 10 and EMA 20 is fundamental for confirming the strength and direction of movements. An EMA 10 above the EMA 20 suggests an uptrend, and vice versa. Longer EMAs act as dynamic support and resistance levels, offering a broader view of the market structure. RSI: Used to identify overbought (RSI > 70/80) and oversold (RSI < 30/20) conditions, generating "Take Profit" alerts for potential trade closures. ATR: Monitors market volatility to help you manage exits. ATR exit signals are triggered when volatility changes direction, indicating a possible exhaustion of the movement. 🗒️Entry and Exit Signals: I designed specific alerts based on all the indicators I use in conjunction: Long Entries: When SuperTrend is bullish and EMA 10 crosses above EMA 20. Short Entries: When SuperTrend is bearish and EMA 10 crosses below EMA 20. RSI Exits (Take Profit): Indicated by "TP" labels on the chart, when the RSI reaches extreme levels (overbought for longs, oversold for shorts). EMA 20 Exits: When the price closes below EMA 20 (for longs) or above EMA 20 (for shorts). ATR Exits: When the ATR changes direction, signaling a possible decrease in momentum. 📌Key Benefits: Clarity in Trend: Quickly identifies market direction with SuperTrend and EMA alignment. Strategic Entry and Exit Signals: Receive timely alerts to optimize your entry and exit points. Assisted Trade Management: RSI and ATR help you consider when to take profits or exit a position. Intuitive Visualization: Arrows, labels, and colored lines make analysis easy to interpret. Disclaimer: Trading in financial markets carries significant risks. This indicator is an analysis tool and should not be considered financial advice. Always conduct your own research and trade at your own risk.
Indicatore Pine Script®
di Codigo_Trading
HTF Overlay Candles (Aggregated)🕯️ Synthetic Aggregated Candles Created by: The_Forex_Steward License: Mozilla Public License 2.0 🔍 Description This indicator creates visually aggregated candles directly on your chart, allowing you to view synthetic candlesticks that combine multiple bars into one. It enables a higher-level perspective of price action without switching timeframes. Each synthetic candle is built by combining a user-defined number of consecutive bars (e.g., 4 bars from the current timeframe form one aggregated candle). It accurately tracks open, high, low, and close values, then draws a colored box and wick to represent the aggregated data. ⚙️ Features Aggregation Factor: Combine candles over a custom number of bars (e.g., 4 = 4x current TF) Timezone Alignment: Aggregation is aligned with midnight in UTC-5 (modifiable in code) Custom Colors: Choose colors for bullish and bearish synthetic candles Body Opacity: Control the opacity of the candle body for visual clarity Wick Width: Customize the thickness of the candle wick 📌 Use Case Ideal for traders looking to: - Reduce noise in lower timeframes - Visualize price action in broader chunks - Spot larger structure and swing patterns without switching charts 📈 How It Works At every bar, the script checks whether a new aggregation interval has begun (aligned to the day start). If so, it finalizes the previous candle and starts a new one. On the last bar of the chart, it ensures the final synthetic candle is drawn. ✅ Tip For best results, apply this script on intraday timeframes and experiment with different aggregation factors (4, 6, 12, etc.) to discover the most insightful compression for your strategy. Note: This script is optimized for visual representation only. It does not repaint, but it is not intended for algorithmic strategies or alerts.
Indicatore Pine Script®
di The_Forex_Steward
15Min Opening Range & Midline (UTC+2) This TradingView script draws the 15-minute Opening Range of the day based on a user-defined start time and plots the high, low, and midline of this range. It works by capturing the high and low of the first 15 minutes of the session, and then extending them for the rest of the trading day. The midline is calculated as the average of the high and low values. Key Features: User-configurable start time: Define the hour and minute for when the opening range should start based on your local time zone. Line customization: Choose the color and line style (solid, dashed, dotted) for the high, low, and midline. Easy-to-read visual representation: The high and low lines extend across the chart from the range start, with the midline placed in the center. Dynamic updates: The indicator resets at the start of each new trading day and updates the opening range lines accordingly. Perfect for: Traders looking to monitor the initial market range during the first 15 minutes of trading. Identifying key support and resistance levels based on early price action. Providing a midline to assess market bias and potential breakouts. Notes: The indicator calculates everything based on the local time zone you define and automatically adjusts to your desired start time. It will not redraw lines; once drawn, they remain on the chart until the next session.
Indicatore Pine Script®
di Tonotoloco
CHN BUY SELL with EMA 200Overview This indicator combines RSI 7 momentum signals with EMA 200 trend filtering to generate high-probability BUY and SELL entry points. It uses colored candles to highlight key market conditions and displays clear trading signals with built-in cooldown periods to prevent signal spam. Key Features Colored Candles: Visual momentum indicators based on RSI 7 levels Trend Filtering: EMA 200 confirms overall market direction Signal Cooldown: Prevents over-trading with adjustable waiting periods Clean Interface: Simple BUY/SELL labels without clutter How It Works Candle Coloring System Yellow Candles: Appear when RSI 7 ≥ 70 (overbought momentum) Purple Candles: Appear when RSI 7 ≤ 30 (oversold momentum) Normal Candles: All other market conditions Trading Signals BUY Signal: Triggered when closing price > EMA 200 AND yellow candle appears SELL Signal: Triggered when closing price < EMA 200 AND purple candle appears Signal Cooldown After a BUY or SELL signal appears, the same signal type is suppressed for a specified number of candles (default: 5) to prevent excessive signals in ranging markets. Settings RSI 7 Length: Period for RSI calculation (default: 7) RSI 7 Overbought: Threshold for yellow candles (default: 70) RSI 7 Oversold: Threshold for purple candles (default: 30) EMA Length: Period for trend filter (default: 200) Signal Cooldown: Candles to wait between same signal type (default: 5) How to Use Apply the indicator to your chart Look for yellow or purple colored candles For LONG entries: Wait for yellow candle above EMA 200, then enter BUY when signal appears For SHORT entries: Wait for purple candle below EMA 200, then enter SELL when signal appears Use appropriate risk management and position sizing Best Practices Works best on timeframes M15 and higher Suitable for Forex, Gold, Crypto, and Stock markets Consider market volatility when setting stop-loss and take-profit levels Use in conjunction with proper risk management strategies Technical Details Overlay: True (plots directly on price chart) Calculation: Based on RSI momentum and EMA trend analysis Signal Logic: Combines momentum exhaustion with trend direction Visual Feedback: Colored candles provide immediate market condition awareness
Indicatore Pine Script®
di CHNTeam
System 0530 - Stoch RSI Strategy with ATR filterStrategy Description: System 0530 - Multi-Timeframe Stochastic RSI with ATR Filter Overview: This strategy, "System 0530," is designed to identify trading opportunities by leveraging the Stochastic RSI indicator across two different timeframes: a shorter timeframe for initial signal triggers (assumed to be the chart's current timeframe, e.g., 5-minute) and a longer timeframe (15-minute) for signal confirmation. It incorporates an ATR (Average True Range) filter to help ensure trades are taken during periods of adequate market volatility and includes a cooldown mechanism to prevent rapid, successive signals in the same direction. Trade exits are primarily handled by reversing signals. How It Works: 1. Signal Initiation (e.g., 5-Minute Timeframe): Long Signal Wait: A potential long entry is considered when the 5-minute Stochastic RSI %K line crosses above its %D line, AND the %K value at the time of the cross is at or below a user-defined oversold level (default: 30). Short Signal Wait: A potential short entry is considered when the 5-minute Stochastic RSI %K line crosses below its %D line, AND the %K value at the time of the cross is at or above a user-defined overbought level (default: 70). When these conditions are met, the strategy enters a "waiting state" for confirmation from the 15-minute timeframe. 2. Signal Confirmation (15-Minute Timeframe): Once in a waiting state, the strategy looks for confirmation on the 15-minute Stochastic RSI within a user-defined number of 5-minute bars (wait_window_5min_bars, default: 5 bars). Long Confirmation: The 15-minute Stochastic RSI %K must be greater than or equal to its %D line. The 15-minute Stochastic RSI %K value must be below a user-defined threshold (stoch_15min_long_entry_level, default: 40). Short Confirmation: The 15-minute Stochastic RSI %K must be less than or equal to its %D line. The 15-minute Stochastic RSI %K value must be above a user-defined threshold (stoch_15min_short_entry_level, default: 60). 3. Filters: ATR Volatility Filter: If enabled, trades are only confirmed if the current ATR value (converted to ticks) is above a user-defined minimum threshold (min_atr_value_ticks). This helps to avoid taking signals during periods of very low market volatility. If the ATR condition is not met, the strategy continues to wait for the condition to be met within the confirmation window, provided other conditions still hold. Signal Cooldown Filter: If enabled, after a signal is generated, the strategy will wait for a minimum number of bars (min_bars_between_signals) before allowing another signal in the same direction. This aims to reduce overtrading. 4. Entry and Exit Logic: Entry: A strategy.entry() order is placed when all trigger, confirmation, and filter conditions are met. Exit: This strategy primarily uses reversing signals for exits. For example, if a long position is open, a confirmed short signal will close the long position and open a new short position. There are no explicit take profit or stop loss orders programmed into this version of the script. Key User-Adjustable Parameters: Stochastic RSI Parameters: RSI Length, Stochastic RSI Length, %K Smoothing, %D Smoothing. Signal Trigger & Confirmation: 5-minute %K trigger levels for long and short. 15-minute %K confirmation thresholds for long and short. Wait window (in 5-minute bars) for 15-minute confirmation. Filters: Enable/disable and configure the Signal Cooldown filter (minimum bars between signals). Enable/disable and configure the ATR Volatility filter (ATR period, minimum ATR value in ticks). Strategy Parameters: Leverage Multiplier (Note: This primarily affects theoretical position sizing for backtesting calculations in TradingView and does not simulate actual leveraged trading risks). Recommendations for Users: Thorough Backtesting: Test this strategy extensively on historical data for the instruments and timeframes you intend to trade. Parameter Optimization: Experiment with different parameter settings to find what works best for your trading style and chosen markets. The default values are starting points and may not be optimal for all conditions. Understand the Logic: Ensure you understand how each component (Stochastic RSI on different timeframes, ATR filter, cooldown) interacts to generate signals. Risk Management: Since this version does not include explicit stop-loss orders, ensure you have a clear risk management plan in place if trading this strategy live. You might consider manually adding stop-loss orders through your broker or using TradingView's separate strategy order settings for stop-loss if applicable. Disclaimer: This strategy description is for informational purposes only and does not constitute financial advice. Past performance is not indicative of future results. Trading involves significant risk of loss. Always do your own research and understand the risks before trading.
Strategia Pine Script®
di Archertoria
XAU/USD Custom Levels XAU/USD Dynamic Support & Resistance Levels This indicator automatically draws horizontal support and resistance levels for Gold (XAU/USD) based on the current market price, eliminating the need for manual price range adjustments. **Key Features:** - **Dynamic Price Range**: Automatically calculates levels above and below the current price using a customizable percentage range (default 5%) - **Multi-Tier Level System**: Four distinct level types with different visual styling: - Major Levels (100s) - Blue, thick lines - Sub Levels (50s) - Red, medium lines - Sub-Sub Levels (25s) - Yellow, thin lines - Mini Levels (12.5s) - Gray, dotted lines - **Fully Customizable**: Adjust range percentage, step size, colors, and line history through input settings - **Universal Compatibility**: Works at any gold price level - whether $1800, $2500, $3300 or beyond **How It Works:** The script centers the level grid around the current closing price and extends lines from a specified number of bars back to the right edge of the chart. The hierarchical level system helps identify key psychological price points and potential support/resistance zones commonly used in gold trading. **Settings:** - Price Range %: Control how far above/below current price to draw levels (1-20%) - Level Step Size: Adjust spacing between levels (1.0-50.0) - Bars Back: Set how far back in history to start the lines - Color Customization: Personalize colors for each level type Perfect for gold traders who need clean, automatically-updating support and resistance levels without manual configuration.
Indicatore Pine Script®
di DTMtrading
Daily ADR TableDaily ADR Table Indicator The Daily Average Daily Range (ADR) Table displays real-time volatility statistics directly on your chart. It shows both the current day's range and the historical average daily range as percentages of the current price, providing essential volatility metrics for trading decisions. The indicator tracks today's range in real-time throughout the trading session using session-based calculations to ensure accuracy. It compares this against a customizable historical average (default 20 days, adjustable from 1-500 days) to help traders assess whether current volatility is above or below normal levels. All values are displayed as percentages for easy comparison across different price levels and formatted to two decimal places for precision. The table position, text size, alignment, and colors are fully customizable with nine position options and professional default styling optimized for readability. This indicator is valuable for day traders, swing traders, and market analysts who need to quickly assess current market volatility relative to historical norms. It assists in position sizing decisions, setting stop losses, and identifying potential breakout or consolidation scenarios based on range expansion or contraction.
Indicatore Pine Script®
di J-V-Y-E
Pre Market High/Low LevelsPre Market High & Pre Market Low By Jadra Pre Market High/Low Levels Indicator This indicator automatically identifies pre-market high and low levels (4:00-9:30 AM ET) and marks them with blue horizontal lines that extend throughout the entire trading session. Perfect for NYSE and NASDAQ traders who use these key levels as support and resistance. Features color-coded backgrounds: yellow for pre-market, transparent for regular hours, and blue for post-market. Lines remain visible from pre-market through market close, providing constant visual references for making trading decisions based on these important psychological levels. Essential tool for day traders focusing on overnight price action and gap analysis in US equity markets.
Indicatore Pine Script®
di ferjuarez_unc
The LEAP Contest - Symbol & Max Position Table TrackerDescription: This indicator tracks the maximum contracts allowed to be traded for TradingView’s *"The Leap"* Contest. It displays a horizontal table at the bottom right of your chart showing up to 20 symbols along with their maximum allowable open contract positions. Use case: Designed specifically for traders participating in *The Leap* Contest on TradingView. Users need to enter the symbol and the maximum contracts allowed for that symbol in the settings menu for each new contest. It provides a quick reference to ensure compliance with contest rules on maximum position sizes. How it works: The table shows two rows: the top row displays the symbol name, and the bottom row shows the max contract limit. If the currently loaded chart symbol matches any symbol in the list, its text color changes to yellow . Customization: Symbols and limits must be updated in the indicator’s settings before each contest to reflect the current rules.
Indicatore Pine Script®
di Midgar-
Support and Resistance MTFSupport and Resistance MTF Support and Resistance MTF is a powerful tool that automatically detects and visualizes key support and resistance levels based on pivot highs and lows, using a higher timeframe of your choice. It is designed for traders who focus on price action and market structure, and want an adaptive, clean, and customizable indicator that helps identify important market zones. The script uses configurable pivot logic to identify levels, with user-defined parameters for pivot strength and timeframe. Once a support or resistance level is detected, it is displayed on the chart either as a horizontal line, a shaded box, or both, depending on your display settings. You can fully customize the visual appearance including color, transparency, and line thickness. Levels are automatically extended into the future, and optionally into the past, to give better context. Each level is monitored for breakout behavior. If price breaks through a level, it can change its role — a former resistance may become support, and vice versa. After a certain number of breakouts (which you define), the level is considered invalid and is automatically removed from the chart. This helps to maintain a clean visual layout and ensures only relevant levels are shown. The indicator supports multi-timeframe analysis, allowing you to overlay higher-timeframe structure directly on your lower-timeframe trading chart. It is also compatible with Heikin Ashi candles internally for reference, without affecting your main chart type. Support and Resistance MTF is ideal for traders looking to align intraday setups with higher-timeframe zones, manage risk around structural levels, or simply highlight market turning points in a clear and automated way. Built with Pine Script v5 and optimized for performance, it is both powerful and lightweight. ⚙️ Input Parameters – Description [Time-Frame Defines the higher timeframe used for detecting support and resistance levels. For example, you can set this to 1h, 4h, or D to visualize significant levels from a broader market perspective on a lower-timeframe chart. Left / Right (Pivot Left / Pivot Right) These parameters control the sensitivity of the pivot detection. A pivot high/low is confirmed if it is higher/lower than the defined number of candles to its left and right. Higher values reduce noise but may miss smaller turning points. Extend Left When enabled, the drawn levels (lines and/or boxes) are extended to the left side of the chart, allowing you to see the historical alignment of these levels. Max Breaks Before Delete Defines how many times a level can be broken by price before it is removed from the chart. This helps to avoid clutter from outdated or invalidated levels and keeps your chart relevant to current price action. Draw Lines Only If enabled, the indicator will draw only horizontal lines for support and resistance zones, omitting the colored background boxes. Useful for a cleaner chart appearance. Line Width Broken Level Sets the thickness of the support/resistance lines. Thicker lines can emphasize key levels, especially after a breakout. Transparency Boxes Controls the transparency (0–100) of the background boxes representing the zones. A higher value makes the boxes more transparent, lower values make them more opaque. Transparency Lines Controls the transparency (0–100) of the horizontal support and resistance lines. This allows for visual fine-tuning based on chart background and personal preference. Support (Color, Group: Display) Lets you choose the color used for support zones and lines. By default, it's green, but you can change it to fit your theme or visual preference. Resistance (Color, Group: Display) Defines the color for resistance zones and lines. The default is red, but it can be customized freely.
Indicatore Pine Script®
di veegee82
2
MirPapa:ICT:HTF: FVG OB Threeple# MirPapa:ICT:HTF: FVG OB (Fair Value Gap Order Block) **Version:** Pine Script® v6 **Author:** © goodia **License:** MPL-2.0 (Mozilla Public License 2.0) --- ## Overview “FVG OB” (Fair Value Gap Order Block) identifies higher-timeframe candle ranges where a gap (imbalance) exists between two non-consecutive candles, signaling potential institutional order blocks. This module draws bullish or bearish FVG OB boxes on your lower-timeframe chart, extends them until price interacts a specified number of times, and then finalizes (recolors) the box. --- ## Inputs - **Enable FVG OB Boxes** (`bool`) Toggle drawing of HTF FVG OB boxes on the chart. - **Enable FVG OB Midlines** (`bool`) Toggle drawing of a midpoint line inside each FVG OB box. - **FVG OB Close Count** (`int` 1–10) Number of HTF closes beyond the FVG range required to finalize (recolor) the box. - **FVG OB Bull Color** (`color`) Fill & border color for bullish FVG OB boxes. - **FVG OB Bear Color** (`color`) Fill & border color for bearish FVG OB boxes. - **FVG OB Box Transparency** (`int` 1–100) Opacity level for FVG OB box fills (higher = more transparent). --- ## How It Works 1. **HTF Data Retrieval** - The script uses `request.security()` (via `GetHTFrevised()`) to fetch HTF OHLC and historical values: - `_htfHigh3` (high three bars ago) and `_htfLow1` (low one bar ago) for bullish FVG OB. - `_htfLow3` (low three bars ago) and `_htfHigh1` (high one bar ago) for bearish FVG OB. - It also tracks the HTF `bar_index` on the lower timeframe to align drawing. 2. **FVG OB Detection** - **Bullish FVG OB**: Occurs when the HTF low of the previous bar (`low `) is strictly above the HTF high of three bars ago (`high `), creating a gap. - **Bearish FVG OB**: Occurs when the HTF high of the previous bar (`high `) is strictly below the HTF low of three bars ago (`low `), creating a gap. 3. **Box Creation** - On each new HTF bar (`ta.change(time(HTF)) != 0`), if a bullish or bearish FVG OB condition is met, the script calls `CreateBoxData()` with: - **Bullish**: `bottom = HTF low `, `top = HTF high `, `_isBull = true`. - **Bearish**: `bottom = HTF low `, `top = HTF high `, `_isBull = false`. - Midline toggled by input. - A `BoxData` struct is created and stored in either the Bull or Bear array. 4. **Box Extension & Finalization** - On **every LTF bar**, `ProcessBoxDatas(...)` iterates over all active FVG OB boxes: 1. **Extend Right Edge**: `box.set_right(bar_index)` ensures the box follows the latest bar. 2. **Record Volume Delta**: Tracks buy/sell volume inside the box. 3. **Touch Stage Update**: `modBoxUpdateStage()` increments `_stage` when price touches its “basePoint” (for FVG OB, the basePrice is one side of the gap). 4. **Finalize**: `setBoxFinalize()` checks if the configured number of closes beyond the FVG gap (`FVG OB Close Count`) has occurred. If so: - `_isActive := false` - Border and background colors are changed to the “Box Close Color” (input). - Finalized boxes remain on screen semi-transparent, indicating that the FVG OB zone has been tested. 5. **Midline (Optional)** - If “Enable FVG OB Midlines” is checked, `ProcessBoxDatas()` also extends a horizontal midpoint line inside the box with `line.set_x2(bar_index)`. --- ## Usage Instructions 1. **Installation** - Copy the FVG OB section of the Pine Script into TradingView’s Pine Editor (ensure the library import is included). - Click “Add to Chart.” 2. **Configure Inputs** - Choose a Higher Time Frame via the dropdown (e.g., “4시간” maps to a 4H timeframe). - Toggle “Enable FVG OB Boxes” and “Enable FVG OB Midlines.” - Select colors for bullish and bearish boxes and set transparency. - Adjust “FVG OB Close Count” to control how many closes beyond the gap finalize the box. 3. **Interpretation** - **Active FVG OB Boxes** extend to the right until price closes beyond the gap range the specified number of times. - When finalized, each box changes to the “Box Close Color,” signaling that institutional orders in that gap have likely been filled. Enjoy precise visualization of higher-timeframe Fair Value Gap Order Blocks on your lower-timeframe chart!
Indicatore Pine Script®
di goodia
RSI Multi-TF TabRSI Multi-Timeframe Table 📊 A tool for multi-timeframe RSI analysis with visual overbought/oversold level highlighting. Description This indicator calculates the Relative Strength Index (RSI) for the current chart and displays RSI values across five additional timeframes (15m, 1h, 4h, 1d, 1w) in a dynamic table. The color-coded system simplifies identifying overbought (>70), oversold (<30), and neutral zones. Visual signals on the chart enhance analysis for the current timeframe. Key Features ✅ Multi-Timeframe Analysis : Track RSI across 15m, 1h, 4h, 1d, and 1w in a compact table. Color-coded alerts: 🔴 Red — Overbought (potential pullback), 🔵 Blue — Oversold (potential rebound), 🟡 Yellow — Neutral zone. ✅ Visual Signals : Background shading for oversold/overbought zones on the main chart. Horizontal lines at 30 and 70 levels for reference. ✅ Customizable Settings : Adjust RSI length (default: 14), source (close, open, high, etc.), and threshold levels. How to Use Table Analysis : Compare RSI values across timeframes to spot divergences (e.g., overbought on 15m vs. oversold on D). Use colors for quick decisions. Chart Signals : Blue background suggests bullish potential (oversold), red hints at bearish pressure (overbought). Always confirm with other tools (volume, trends, or candlestick patterns). Examples : RSI(1h) > 70 while RSI(4h) < 30 → Possible reversal upward. Sustained RSI(1d) above 50 may indicate a bullish trend. Settings RSI Length : Period for RSI calculation (default: 14). RSI Source : Data source (close, open, high, low, hl2, hlc3, ohlc4). Overbought/Oversold Levels : Thresholds for alerts (default: 70/30). Important Notes No direct trading signals : Use this as an analytical tool, not a standalone strategy. Test strategies historically and consider market context before trading.
Indicatore Pine Script®
di AllegoryCo
Swing High Low Detector by RV5📄 Description The Swing High Low Detector is a visual indicator that automatically detects and displays swing highs and swing lows on the chart. Swings are determined based on configurable strength parameters (number of bars before and after a high/low), allowing users to fine-tune the sensitivity of the swing points. 🔹 Current swing levels are shown as solid (or user-defined) lines that dynamically extend until broken. 🔹 Past swing levels are preserved as dashed/dotted lines once broken, allowing traders to see previous support/resistance zones. 🔹 Customizable line colors, styles, and thickness for both current and past levels. This indicator is useful for: Identifying key market structure turning points Building breakout strategies Spotting trend reversals and swing zones ⚙️ How to Use 1. Add the indicator to any chart on any timeframe. 2. Adjust the Swing Strength inputs to change how sensitive the detector is: A higher value will filter out smaller moves. A lower value will capture more frequent swing points. 3. Customize the line styles for visual preference. Choose different colors, line styles (solid/dashed/dotted), and thickness for: Current Swing Highs (SH) Past Swing Highs Current Swing Lows (SL) Past Swing Lows 4. Observe: As new swing highs/lows are detected, the indicator draws a new current level. Once price breaks that level, the line is archived as a past level and a new current swing is drawn. ✅ Features Fully customizable styling for all lines Real-time updates and automatic level tracking Supports all chart types and instruments 👨‍💻 Credits Script logic and implementation by RV5. This script was developed as a tool to improve price action visualization and trading structure clarity. Not affiliated with any financial institution. Use responsibly.
Indicatore Pine Script®
di R_V5
8
[Top] Simple Position + SL CalculatorThis indicator is a user-friendly tool designed to help traders easily calculate optimal position sizing, determine suitable stop-loss levels, and quantify maximum potential losses in dollar terms based on their personalized trading parameters. Key Features: Position Size Calculation: Automatically computes the number of shares to purchase based on the trader’s total account size and specified percentage of the account allocated per trade. Stop-Loss Level: Suggests an appropriate stop-loss price point calculated based on the trader’s defined risk percentage per trade. Max Loss Visualization: Clearly displays the maximum potential loss (in dollars) should the stop-loss be triggered. Customizable Interface: Provides the flexibility to place the calculation table in different chart positions (Top Left, Top Right, Bottom Left, Bottom Right) according to user preference. How to Use: Enter your total Account Size. Set the desired Position Size as a percentage of your account. (Typically, 1%–5% per trade is recommended for cash accounts.) Define the Risk per Trade percentage (commonly between 0.05%–0.5%). Choose your preferred Table Position to comfortably integrate with your trading chart. Note: If you identify a technical support level below the suggested stop-loss point, consider reducing your position size to manage the increased risk effectively. Keep in mind that the calculations provided by this indicator are based solely on standard industry best practices and the specific inputs entered by you. They do not account for market volatility, news events, or any other factors outside the provided parameters. Always complement this indicator with sound technical and fundamental analysis.
Indicatore Pine Script®
di TopTradesUA
Advanced Moving Average ChannelAdvanced Moving Average Channel (MAC) is a comprehensive technical analysis tool that combines multiple moving average types with volume analysis to provide a complete market perspective. Key Features: 1. Dynamic Channel Formation - Configurable moving average types (SMA, EMA, WMA, VWMA, HMA, TEMA) - Separate upper and lower band calculations - Customizable band offsets for precise channel adjustment 2. Volume Analysis Integration - Multi-timeframe volume analysis (1H, 24H, 7D) - Relative volume comparison against historical averages - Volume trend detection with visual indicators - Price-level volume distribution profile 3. Market Context Indicators - RSI integration for overbought/oversold conditions - Channel position percentage - Volume-weighted price levels - Breakout detection with visual signals Usage Guidelines: 1. Channel Interpretation - Price within channel: Normal market conditions - Price above upper band: Potential overbought condition - Price below lower band: Potential oversold condition - Channel width: Indicates market volatility 2. Volume Analysis - High relative volume (>150%): Strong market interest - Low relative volume (<50%): Weak market interest - Volume trend arrows: Indicate increasing/decreasing market participation - Volume profile: Shows price levels with highest trading activity 3. Trading Signals - Breakout arrows: Potential trend continuation - RSI extremes: Confirmation of overbought/oversold conditions - Volume confirmation: Validates price movements Customization: - Adjust MA length for different market conditions - Modify band offsets for tighter/looser channels - Fine-tune volume analysis parameters - Customize visual appearance This indicator is designed for traders who want to combine price action, volume analysis, and market structure in a single, comprehensive tool.
Indicatore Pine Script®
di YouNesta