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Volume Momentum [BackQuant]Volume Momentum The Volume Momentum indicator is designed to help traders identify shifts in market momentum based on volume data. By analyzing the relative volume momentum, this indicator provides insights into whether the market is gaining strength (uptrend) or losing momentum (downtrend). The strategy uses a combination of percentile-based volume normalization, weighted moving averages (WMA), and exponential moving averages (EMA) to assess volume trends. The system focuses on the relationship between price and volume, utilizing normalized volume data to highlight key market changes. This approach allows traders to focus on volume-driven price movements, helping them to capture momentum shifts early. Key Features 1. Volume Normalization and Percentile Calculation: The signed volume (positive when the close is higher than the open, negative when the close is lower) is normalized against the rolling average volume. This normalized volume is then subjected to a percentile interpolation, allowing for a robust statistical measure of how the current volume compares to historical data. The percentile level is customizable, with 50 representing the median. 2. Weighted and Smoothed Moving Averages for Trend Detection: The normalized volume is smoothed using weighted moving averages (WMA) and exponential moving averages (EMA). These smoothing techniques help eliminate noise, providing a clearer view of the underlying momentum. The WMA filters out short-term fluctuations, while the EMA ensures that the most recent data points have a higher weight, making the system more responsive to current market conditions. 3. Trend Reversal Detection: The indicator detects momentum shifts by evaluating whether the volume momentum crosses above or below zero. A positive volume momentum indicates a potential uptrend, while a negative momentum suggests a possible downtrend. These trend reversals are identified through crossover and crossunder conditions, triggering alerts when significant changes occur. 4. Dynamic Trend Background and Bar Coloring: The script offers customizable background coloring based on the trend direction. When volume momentum is positive, the background is colored green, indicating a bullish trend. When volume momentum is negative, the background is colored red, signaling a bearish trend. Additionally, the bars themselves can be colored based on the trend, further helping traders quickly visualize market momentum. 5. Alerts for Momentum Shifts: The system provides real-time alerts for traders to monitor when volume momentum crosses a critical threshold (zero), signaling a trend reversal. The alerts notify traders when the market momentum turns bullish or bearish, assisting them in making timely decisions. 6. Customizable Parameters for Flexible Usage: Users can fine-tune the behavior of the indicator by adjusting various parameters: Volume Rolling Mean: The period used to calculate the average volume for normalization. Percentile Interpolation Length: Defines the range over which the percentile is calculated. Percentile Level: Determines the percentile threshold (e.g., 50 for the median). WMA and Smoothing Periods: Control the smoothing and response time of the indicator. 7. Trend Background Visualization and Trend-Based Bar Coloring: The background fill is shaded according to whether the volume momentum is positive or negative, providing a visual cue to indicate market strength. Additionally, bars can be color-coded to highlight the trend, making it easier to see the trend’s direction without needing to analyze numerical data manually. 8. Note on Mean-Reversion Strategy: If you take the inverse of the signals, this indicator can be adapted for a mean-reversion strategy. Instead of following the trend, the strategy would involve buying assets that are underperforming and selling assets that are overperforming, based on volume momentum. However, it’s important to note that this approach may not work effectively on highly correlated assets, as their price movements may be too similar, reducing the effectiveness of the mean-reversion strategy. Final Thoughts The Volume Momentum indicator offers a comprehensive approach to analyzing volume-based momentum shifts in the market. By using volume normalization, percentile interpolation, and smoothed moving averages, this system helps identify the strength and direction of market trends. Whether used for trend-following or adapted for mean-reversion, this tool provides traders with actionable insights into the market’s volume-driven movements, improving decision-making and portfolio management.
Pine Script® indicator
by BackQuant
Quantum Edge Pro - Adaptive AICategorical 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) 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 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. Categories Primary: Trend Analysis Secondary: Mathematical Indicators Tertiary: Educational Tools "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.
Pine Script® strategy
by DskyzInvestments
20
MACD Crossover with Supertrend FilterThis script is a custom trading indicator that generates **buy and sell signals** based on the combination of: ### 🔹 MACD Crossover: * **Long (Buy)** signal: when the MACD line crosses above the signal line **below the 0 line**. * **Short (Sell)** signal: when the MACD line crosses below the signal line **above the 0 line**. ### 🔹 Supertrend Filter: * **Only buy** when the Supertrend is **bullish (green)**. * **Only sell** when the Supertrend is **bearish (red)**. ### 🔹 Additional Features: * Plots green or red arrows on the chart for entries. * Supertrend line is color-coded. * Alerts can be enabled for both long and short signals. ✅ This combination filters MACD signals using trend direction for more reliable entries.
Pine Script® indicator
by rvsoriano056
15-Metric Strong Buy System (Final Version)This Pine Script analyzes 15 key technical signals to identify strong buy opportunities. It assigns a score out of 13 for core conditions and checks 2 optional filters (Delivery Spike and RS > Nifty). It only shows signals on the latest bar to keep the chart clean. 🧠 Core Structure Breakdown ✅ SECTION 1: Core Technical Signals (13 total) Each of the following conditions adds 1 point to the score: # Signal What It Checks Why It's Used 1 RSI (Daily & 1H) Both timeframes >55 and rising Confirms strength across multiple timeframes 2 Price > EMA20 & EMA50 Above short/medium-term trend lines Confirms uptrend support 3 Price near 20-day High Within 2% of recent high Breakout proximity 4 Volume > 20 SMA Unusual trading activity Confirms strength behind move 5 MACD Bullish Line > Signal and Histogram > 0 Momentum is building 6 ADX > 20 and +DI > -DI Trend strength and direction Validates strong directional trend 7 Bullish Candle Green candle with higher close Confirms bullish price action 8 BB Breakout Close > Upper Bollinger Band Volatility breakout confirmation 9 Supertrend Proxy Close above custom supertrend Simple trend direction filter 10 Close > Prev. High Break of short-term resistance Momentum continuation 11 VWAP Filter Close above VWAP Price leadership relative to volume 12 Weekly RSI > 50 Long-term trend momentum Confirms broader trend strength 13 BB Squeeze Bollinger Band width is low Signals potential upcoming move 🎯 Total Score = 0 to 13 🎯 SECTION 2: Optional Strength Filters (Displayed as labels) Label What It Means Why It Matters RS > Nifty Relative strength RSI > 55 vs Nifty Indicates outperformance Delivery Spike Volume > 1.5× avg & bullish candle Suggests institutional activity These are not included in the score, but if triggered, the chart displays: 🏷️ "RS > NIFTY" and/or 🏷️ "DELIVERY SPIKE" in black background + white text boxes above the latest bar. ✅ SECTION 3: Output Logic If score ≥ 12 → Show "STRONG BUY" on latest candle If score = 11 → Show "BUY" Also shows score label like Score: 12/13 Optional filters are displayed as labels if true No clutter on historical candles — only current signal is shown. 🔔 SECTION 4: Alerts Alert Trigger What It Does score >= 12 Fires "Strong Buy Alert" score == 11 Fires "Buy Alert" ⚖️ Pros & Cons (Analyst View) ✅ Pros: Covers breadth of momentum, trend, breakout, and strength Uses multi-timeframe confirmation for reliability Avoids repainting by using latest bar only Optional filters help detect smart money participation Clean, uncluttered interface ❌ Cons: Doesn’t include fundamentals False positives possible during sideways or news-driven moves No exit logic or Sell trigger Uses proxy for Delivery spike, not actual delivery % (due to TradingView data limits) 💡 When to Trust the Signal? Score Label Confidence 13/13 ✅ STRONG BUY + optional filters 🔥 Extremely strong 12/13 ✅ STRONG BUY ✅ Very high 11/13 BUY ⚠️ Medium — confirm with chart pattern <11 — ❌ Avoid
Pine Script® indicator
by srivani_gundavaram
VWAP + ADX Trend FilterVWAP + ADX Trend Identifier (Intraday)” 🔹 Description: Write a short, clear summary like: “This script combines VWAP and ADX to help identify intraday trend trades. Buy and sell signals appear when price crosses VWAP with ADX strength above a threshold, confirming directional bias.” You can also include: Best suited for NIFTY / BNIFTY Ideal timeframe: 5–15 min For educational or personal use 🔹 Visibility: Public: Anyone can find it on TradingView. Must follow Pine Script Publishing Rules. Invite-only: Useful if you want to share with selected people (like clients or premium users). Private: Only you can see and use it. 📌 Important Tips for Publishing:
Pine Script® indicator
by dhramendersingh01
Percent Change of Range Candles - FullTHIS IS THE FINAL VERSION Description of the Percent Change of Range Candles - Full Indicator This indicator displays the percentage change relative to the price range (high-low) over a specified period and combines multiple timeframes to provide a more accurate view of market trends and momentum. The idea is to not rely solely on classic closing prices but also to consider the opening price, highest, and lowest values within the selected period, offering deeper insight into price movements. What makes this indicator better than the previous two? Combination of multiple timeframes and parameters — the indicator calculates not only one level of percentage change but also uses additional calculations for shorter periods (e.g., 25% of the main period length). This allows it to better track subtle changes and provide signals less prone to noise. Visual representation with colors and horizontal levels — it clearly displays key percentage change levels and whether the current trend is positive or negative, making interpretation easier without additional analysis. Candle visualization within the indicator (plotcandle) — unlike previous indicators that might display only lines, this one shows candles within the indicator window, allowing you to follow visual patterns that often add extra value. Better adaptation to trend changes — the indicator dynamically adjusts input parameters depending on price direction (positive or negative change), making it more flexible and suitable for different market conditions. How the indicator works It first calculates the percentage change of the closing price relative to the high-low range over a chosen period (default 100 candles). Then, it calculates the average change value from the previous five periods to smooth out sudden oscillations. Additionally, it calculates values for a shorter period (25% of the total length), which are dynamically used as "high" or "low" values depending on the current trend (positive or negative). Horizontal lines mark important percentage change levels (100%, 70%, 0%, -70%, -100%), serving as visual guides for trend strength and direction. Candles inside the indicator further visualize the relationship between average and current values. Purpose and application This indicator is designed to track trend strength and market movements through percentage analysis of price ranges. It can be used for: Detecting the start and end of trends, Recognizing strong reversals or confirming trend continuation, Complementary analysis alongside other technical indicators, Facilitating decision-making in scalping and swing trading strategies. What to watch out for Like any indicator based on historical data, it does not guarantee success and should be used alongside other tools to confirm signals. The length period (length) should be adjusted according to the market type and trading timeframe — longer periods provide more stable but slower signals, while shorter ones are more sensitive to noise. Pay attention to the colors and levels on the indicator, as crossing horizontal lines may indicate potential trend reversals or strengthening. Candles within the indicator window can help identify formations signaling entries or exits.
Pine Script® indicator
by Aleksin_Aleksandar
4
GER40 BIAS Forecast [ML-Based]🎯 Purpose: This indicator provides a daily directional bias (LONG / SHORT / FLAT) for the German DAX40 index (GER40) using a statistically optimized scoring model, developed with 6 years of historical data and verified through machine learning analysis. 🧠 How the Score Works (ML-derived): Each trading day receives a bias score (0–3) for both long and short setups, based on these 3 factors from the daily candle: Condition Long Score Logic Short Score Logic 1. Candle Direction Close > Open → +1 Close < Open → +1 2. VWAP Slope VWAP > VWAP → +1 VWAP < VWAP → +1 3. Volatility Strength Range > SMA(20) → +1 Close < Yesterday's Low → +1 (Rejection) ➡️ A score of 2 or more triggers a Long or Short Bias for the day. These scoring rules are derived from a machine learning model trained on 6 years of DAX data, identifying the most predictive features for directional follow-through. 📘 Bias Interpretation: Score Result Daily Bias Background Color Long Score ≥ 2 LONG Green Short Score ≥ 2 SHORT Red Both < 2 FLAT Gray 📍 Indicator Features: 🎨 Background coloring to visualize daily bias directly on intraday charts 🔢 Optional score labels (e.g. “Long: 2 | Short: 1”) per calendar day 📈 VWAP line plotted for additional intraday context ❌ Entry signals removed – this version focuses solely on forecasting directional bias 💡 Use Case: Morning planning aid Filtering for high-probability intraday setups Combining with session-based entry systems
Pine Script® indicator
by Precious_Life
Volume Point of Control with Fib Based Profile🍀Description: This indicator is a comprehensive volume profile analysis tool designed to identify key price levels based on trading activity within user-defined timeframes. It plots the Point of Control (POC), Value Area High (VAH), and Value Area Low (VAL), along with dynamically calculated Fibonacci levels derived from the developing period's range. It offers extensive customization for both historical and developing levels. 🍀Core Features: Volume Profiling (POC, VAH, VAL): Calculates and plots the POC (price level with the highest volume), VAH, and VAL for a selected timeframe (e.g., Daily, Weekly). The Value Area percentage is configurable. 70% is common on normal volume profiles, but this script allows you to configure multiple % levels via the fib levels. I recommend using 2 versions of this indicator on a chart, one has Value Area at 1 (100% - high and low of lookback) and the second is a specified VA area (i.e. 70%) like in the chart snapshot above. See examples at the bottom. Historical Levels: Plots POC, VAH, and VAL from previous completed periods. Optionally displays only "Unbroken" levels – historical levels that price has not yet revisited, which can act as stronger magnets or resistance/support. The user can manage the number of historical lines displayed to prevent chart clutter. Developing Levels: Shows the POC, VAH, and VAL as they form in real-time during the current, incomplete period. This provides insight into intraday/intra-period value migration. Dynamic Fibonacci Levels: Calculates and plots Fibonacci retracement/extension levels based dynamically on the range between the developing POC and the developing VAH/VAL. Offers 8 configurable % levels above and below POC that can be toggled on/off. Visual Customization: Extensive options for colors, line styles, and widths for all plotted levels. Optional gradient fill for the Value Area that visualizes current price distance from POC - option to invert the colors as well. Labels for developing levels and Fibonacci levels for easy identification. 🍀Characteristics: Volume-Driven: Levels are derived from actual trading volume, reflecting areas of high participation and price agreement/disagreement. Timeframe Specific: The results are entirely dependent on the chosen profile timeframe. Dynamic & Static Elements: Developing levels and Fibs update live, while historical levels remain fixed once their period closes. Lagging (Historical) & Potentially Leading: Historical levels are based on the past, but are often respected by future price action. Developing levels show current dynamics. 🍀How to Use It: Identifying Support & Resistance: Historical and developing POCs, VAHs, and VALs are often key areas where price may react. Unbroken levels are particularly noteworthy. Market Context & Sentiment: Trading above the POC suggests bullish strength/acceptance of higher prices, while trading below suggests bearishness/acceptance of lower prices. Entry/Exit Zones: Interactions with these levels (rejections, breakouts, tests) can provide potential entry or exit signals, especially when confirming with other analysis methods. Dynamic Targets: The Fibonacci levels calculated from the developing POC-VA range offer potential intraday/intra-period price targets or areas of interest. Understanding Value Migration: Observing the movement of the developing POC/VAH/VAL throughout the period reveals where value is currently being established. 🍀Potential Drawbacks: Input Sensitivity: The choice of timeframe, Value Area percentage, and volume resolution heavily influences the generated levels. Experimentation is needed for optimal settings per instrument/market. (I've found that Range Charts can provide very accurate volume levels on TV since the time element is removed. This helps to refine the accuracy of price levels with high volume.) Volume Data Dependency: Requires accurate volume data. May be less reliable on instruments with sparse or questionable volume reporting. Chart Clutter: Enabling all features simultaneously can make the chart busy. Utilize the line management inputs and toggle features as needed. Not a Standalone Strategy: This indicator provides context and key levels. It should be used alongside other technical analysis tools and price action reading for robust decision-making. Developing Level Fluctuation: Developing POC/VA/Fib levels can shift considerably, especially early in a new period, before settling down as more volume accumulates and time passes. 🍀Recommendations/Examples: I recommend have this indicator on your chart twice, one has the VA set at 1 (100%) and has the fib levels plotted. The second has the VA set to 0.7 (70%) to highlight the defined VA. Here is an example with 3 on a chart. VA of 100%, VA of 80%, and VA of 20%
Pine Script® indicator
by ShamrockShane
2
GEEKSDOBYTE IFVG w/ Buy/Sell Signals1. Inputs & Configuration Swing Lookback (swingLen) Controls how many bars on each side are checked to mark a swing high or swing low (default = 5). Booleans to Toggle Plotting showSwings – Show small triangle markers at swing highs/lows showFVG – Show Fair Value Gap zones showSignals – Show “BUY”/“SELL” labels when price inverts an FVG showDDLine – Show a yellow “DD” line at the close of the inversion bar showCE – Show an orange dashed “CE” line at the midpoint of the gap area 2. Swing High / Low Detection isSwingHigh = ta.pivothigh(high, swingLen, swingLen) Marks a bar as a swing high if its high is higher than the highs of the previous swingLen bars and the next swingLen bars. isSwingLow = ta.pivotlow(low, swingLen, swingLen) Marks a bar as a swing low if its low is lower than the lows of the previous and next swingLen bars. Plotting If showSwings is true, small red downward triangles appear above swing highs, and green upward triangles below swing lows. 3. Fair Value Gap (3‐Bar) Identification A Fair Value Gap (FVG) is defined here using a simple three‐bar logic (sometimes called an “inefficiency” in price): Bullish FVG (bullFVG) Checks if, two bars ago, the low of that bar (low ) is strictly greater than the current bar’s high (high). In other words: bullFVG = low > high Bearish FVG (bearFVG) Checks if, two bars ago, the high of that bar (high ) is strictly less than the current bar’s low (low). In other words: bearFVG = high < low When either condition is true, it identifies a three‐bar “gap” or unfilled imbalance in the market. 4. Drawing FVG Zones If showFVG is enabled, each time a bullish or bearish FVG is detected: Bullish FVG Zone Draws a semi‐transparent green box from the bar two bars ago (where the gap began) at low up to the current bar’s high. Bearish FVG Zone Draws a semi‐transparent red box from the bar two bars ago at high down to the current bar’s low. These colored boxes visually highlight the “fair value imbalance” area on the chart. 5. Inversion (Fill) Detection & Entry Signals An inversion is defined as the price “closing through” that previously drawn FVG: Bullish Inversion (bullInversion) Occurs when a bullish FVG was identified on bar-2 (bullFVG), and on the current bar the close is greater than that old bar-2 low: bullInversion = bullFVG and close > low Bearish Inversion (bearInversion) Occurs when a bearish FVG was identified on bar-2 (bearFVG), and on the current bar the close is lower than that old bar-2 high: bearInversion = bearFVG and close < high When an inversion is true, the indicator optionally draws two lines and a label (depending on input toggles): Draw “DD” Line (yellow, solid) Plots a horizontal yellow line from the current bar’s close price extending five bars forward (bar_index + 5). This is often referred to as a “Demand/Daily Demand” line, marking where price inverted the gap. Draw “CE” Line (orange, dashed) Calculates the midpoint (ce) of the original FVG zone. For a bullish inversion: ce = (low + high) / 2 For a bearish inversion: ce = (high + low) / 2 Plots a horizontal dashed orange line at that midpoint for five bars forward. Plot Label (“BUY” / “SELL”) If showSignals is true, a green “BUY” label is placed at the low of the current bar when a bullish inversion occurs. Likewise, a red “SELL” label at the high of the current bar when a bearish inversion happens. 6. Putting It All Together Swing Markers (Optional): Visually confirm recent swing highs and swing lows with small triangles. FVG Zones (Optional): Highlight areas where price left a 3-bar gap (bullish in green, bearish in red). Inversion Confirmation: Wait for price to close beyond the old FVG boundary. Once that happens, draw the yellow “DD” line at the close, the orange dashed “CE” line at the zone’s midpoint, and place a “BUY” or “SELL” label exactly on that bar. User Controls: All of the above elements can be individually toggled on/off (showSwings, showFVG, showSignals, showDDLine, showCE). In Practice A bullish FVG forms whenever a strong drop leaves a gap in liquidity (three bars ago low > current high). When price later “fills” that gap by closing above the old low, the script signals a potential long entry (BUY), draws a demand line at the closing price, and marks the midpoint of that gap. Conversely, a bearish FVG marks a potential short zone (three bars ago high < current low). When price closes below that gap’s high, it signals a SELL, with similar lines drawn. By combining these elements, the indicator helps users visually identify inefficiencies (FVGs), confirm when price inverts/fills them, and place straightforward buy/sell labels alongside reference lines for trade management.
Pine Script® indicator
by RayenGeeksdoByte
Enhanced MFI Divergence with Pivot SignalsEnhanced MFI Divergence with Pivot Signals This custom Pine Script indicator identifies bullish and bearish divergences between price action and the Money Flow Index (MFI), enhancing the trader's ability to spot potential reversal zones with visual clarity and optional confirmation filters. 📊 Key Features: 🔹 MFI Divergence Detection The script detects: Bullish divergence when price forms a lower low but MFI forms a higher low. Bearish divergence when price forms a higher high but MFI forms a lower high. 🔹 Pivot-Based Logic To ensure high-confidence signals, the script uses pivot point logic to mark local highs and lows on both price and MFI. This avoids noise and focuses only on meaningful swing points. 🔹 Optional Confirmation Filter You can enable a filter that checks if MFI is above 50 during bullish divergence (implying buying pressure) and below 50 for bearish divergence (implying selling pressure), adding an extra layer of confirmation. 🔹 Signal Markers Signals are visually displayed on the chart using colored triangles: Green triangle up for bullish divergence Red triangle down for bearish divergence 🔹 Background Color Shading The background is optionally shaded green or red based on MFI’s relationship to its smoothed WMA, helping you visually interpret trend bias. 🔹 Pivot Point Debugging Tools Circles and crosses mark pivot points on price and MFI for debugging and visual clarity. 🔹 Alerts Ready Real-time alerts notify you instantly when a bullish or bearish MFI divergence occurs, allowing for quick decision-making. ⚙️ How It Helps This indicator is designed to help traders: Anticipate price reversals by identifying hidden strength or weakness in momentum, Avoid false breakouts, Confirm entries or exits based on volume-weighted momentum divergence. It works especially well when used alongside trend-following tools like moving averages, support/resistance zones, or additional volume indicators.
Pine Script® indicator
by raghavprakash05
Volume with High/Low ColoringThe "Volume with High/Low Coloring" indicator is designed to help traders visually differentiate between high, low, and normal volume bars relative to recent historical averages. By applying dynamic color coding and customizable thresholds, this indicator enhances volume analysis and improves your ability to spot key moments of accumulation, distribution, or market inactivity. High Volume: A bar is marked as high volume when it exceeds the average by a customizable multiplier (default is 1.5×) . Low Volume: A bar is considered low volume when it falls below the average by another multiplier (default is 0.5×) . Normal Volume: All bars that fall between the high and low thresholds. Each category is displayed in a different user-selectable color, providing instant visual feedback for volume dynamics. Customizable Colors: High Volume: Light Green (default: semi-transparent green) Low Volume: Light Blue (default: semi-transparent blue) Normal Volume: Yellow (default: semi-transparent yellow) Average Volume Line: Gray (optional reference line)
Pine Script® indicator
by bestindicatorsever
David_FairPriceCandlestick_calculatedDescription: This indicator displays the "Typical Price" for each candle as a visual marker (cross) directly on the chart. The Typical Price is calculated as the average of the High, Low, and Close values of each bar: (High + Low + Close) / 3 The marker provides a quick visual reference to the fair or average price level within every single candle. Unlike a Point of Control (POC) or volume-based indicators, this script works purely with price data and is independent of volume or order flow. Use cases: Identify where most trading activity may have been concentrated within the candle (for price-based strategies) Support as a reference line for mean-reversion or fair value concepts Works on all timeframes and instruments Customization: You can easily change the marker style (cross, dot, triangle, etc.) and color within the script.
Pine Script® indicator
by GolfTrade
VWAP&5EMA📘 VWAP + 5 EMA Combo This indicator provides a clean and modular framework for tracking key moving averages and VWAP levels. Ideal for intraday and swing traders, it allows full control over which components to display. ✅ Features: Rolling VWAP – volume-weighted moving average over a custom period Session VWAP – standard intraday VWAP Daily EMA (D1) – from higher timeframe Intraday EMA – based on current chart 5 Custom EMAs – fully adjustable and individually toggleable (default: 9, 21, 50, 100, 200) 🎯 Use Case: Quickly assess dynamic support/resistance, confluence zones, and trend alignment across timeframes – without clutter. All lines are optional and independently configurable.
Pine Script® indicator
by Precious_Life
Advanced Volume Exhaustion & Absorption IndicatorNew Features: 1. Enhanced Exhaustion Settings Choice of MA types (SMA, EMA, WMA, VWMA) Adjustable ROC period and threshold Minimum bars between signals to avoid clustering Customizable price MA period 2. Advanced Absorption Settings Separate lookback period from exhaustion Option to use standard deviation or simple multiplier Adjustable minimum bars between signals Choice of MA types 3. Filtering Options Volume Filter: Only show signals above a certain volume percentile Trend Filter: Align signals with the overall trend Volatility Filter: Filter based on ATR to focus on significant moves 4. Display Customization Custom colors for all signal types Adjustable label sizes Background transparency control Optional info table showing current metrics 5. Alert Management Toggle alerts for each signal type Alert repeat delay to prevent spam Recommended Settings: For ES1! (S&P 500 E-mini): Volume Exhaustion: - Lookback Period: 30 - Volume Threshold: 0.35 - ROC Period: 5 - ROC Threshold: -25% - MA Type: EMA - Price MA Period: 8 - Min Bars Since Last: 8 Volume Absorption: - Lookback Period: 40 - Volume Multiplier: 2.5 - Price Tolerance: 0.15% - Use StdDev: Yes - StdDev Multiplier: 2.0 - Min Bars Since Last: 5 Filters: - Volume Filter: ON (Min Percentile: 30) - Trend Filter: OFF - Volatility Filter: ON (ATR Length: 14, Multiplier: 0.8) For NQ1! (Nasdaq 100 E-mini): Volume Exhaustion: - Lookback Period: 25 - Volume Threshold: 0.30 - ROC Period: 4 - ROC Threshold: -30% - MA Type: EMA - Price MA Period: 6 - Min Bars Since Last: 6 Volume Absorption: - Lookback Period: 35 - Volume Multiplier: 2.8 - Price Tolerance: 0.20% - Use StdDev: Yes - StdDev Multiplier: 2.2 - Min Bars Since Last: 4 Filters: - Volume Filter: ON (Min Percentile: 25) - Trend Filter: OFF - Volatility Filter: ON (ATR Length: 14, Multiplier: 1.0) Key Differences Between ES1! and NQ1! Settings: NQ1! is more volatile, so: Slightly shorter lookback periods Higher ROC thresholds (more negative) Higher absorption multipliers More tolerance for price movement ES1! is more stable, so: Longer lookback periods Tighter price tolerances More conservative multipliers Longer minimum bars between signals These settings are optimized for the 5-minute timeframe but can be adjusted for other timeframes by proportionally scaling the lookback periods.
Pine Script® indicator
by frinntintin
QTN | Money CirculatingQTN | Money Circulating | VWAP-based turnover Multi Time Frames This indicator visualizes real money flow in a stock by calculating the turnover (trading value) using volume multiplied by VWAP across daily, weekly, and monthly timeframes. It applies EMA smoothing to provide a clearer trend of money circulating in the market. Features: • VWAP-based turnover calculation for more accurate money flow measurement. • EMA smoothing with customizable period. • Table display of daily, weekly, and monthly turnover values in millions (M) for quick reference. • Clean, color-coded visualization for easy interpretation. Usage: Ideal for traders and investors who want to gauge market participation intensity and detect shifts in trading momentum across multiple timeframes. ________________________________________________ Disclaimer This indicator is for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any security. Trading involves risk, and users should conduct their own research or consult with a financial advisor before making investment decisions. The author is not responsible for any trading losses.
Pine Script® indicator
by QUANTANIUM
Percent Change of Range Candles📌 Indicator Description: "Percent Change of Range Candles" This indicator is designed to visualize the percentage price change over a specified number of candles, relative to the historical market range. Instead of traditional candles, it uses a custom "range candle" visualization that reflects relative changes in context with the highest and lowest points within a given period. 🎯 Purpose and Application The goal of this indicator is to: Show how much the current price has changed compared to the price length candles ago (default: 100). Express this change as a percentage of the total price range during that period. Help traders identify extreme price movements, whether bullish or bearish. Serve as an additional filter for momentum zones, divergences, or overextended conditions. ⚙️ How It Works 🔹 Core Calculation: Range: The difference between the highest and lowest price over the selected period (length). Price Change: The difference between the current close and the close length bars ago. Percentage Value: (price_change / range) * 100 🔹 Additional Logic: The synthetic open value is calculated as the average of the last 5 c values. The high and low of each range candle are adjusted: If c is negative, the high is replaced with a shorter-term percentage change (25% of length). If c is positive, the low is adjusted in the same way. 🔹 Visualization: Displays custom candles based on percentage change, not real price. Candle color is green if the current value is above the recent average, and red if below. Horizontal reference lines are drawn at +100, +70, 0, -70, and -100, helping to identify extremes. ✅ Advantages and Use Cases Detects market extremes and potential reversal zones. Useful in volatility or momentum-based strategies. Can serve as a signal filter or divergence detector when combined with other tools (e.g., RSI, MACD).
Pine Script® indicator
by Aleksin_Aleksandar