Mulakan

Ketidakstabilan

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.
Strategi Pine Script®
oleh DskyzInvestments
21
Momentum Breakout Option Buyer🎯 What it does: # Detects momentum breakout zones # Confirms breakout with volume and volatility # Gives Buy signal only when the move is strong and fast — perfect for option buyers 🔧 Core Components: # Supertrend – to define the trend # RSI + EMA crossover – confirms strength # Breakout candle + Volume spike # ATR filter – confirms volatility is high enough to justify option buying ✅ Entry Criteria (Call Option): # Price above Super trend # RSI > 60 and RSI > RSI EMA # Volume > 1.5 × average volume # ATR (last 5 candles) > minimum threshold (e.g., 1%) ❌ Exit / Stop Loss: # RSI drops below 50 or # Supertrend flips or # Target hit (e.g., 1.5x risk)
Penunjuk Pine Script®
oleh abhishekacharya000
Momentum Breakout Option Buyer🎯 What it does: MOMENTUM BREAKOUT FOR OPTION BUYER # Detects momentum breakout zones # Confirms breakout with volume and volatility # Gives Buy signal only when the move is strong and fast — perfect for option buyers 🔧 Core Components: # Supertrend – to define the trend # RSI + EMA crossover – confirms strength # Breakout candle + Volume spike # ATR filter – confirms volatility is high enough to justify option buying ✅ Entry Criteria (Call Option): # Price above Supertrend # RSI > 60 and RSI > RSI EMA # Volume > 1.5 × average volume # ATR (last 5 candles) > minimum threshold (e.g., 1%) ❌ Exit / Stop Loss: # RSI drops below 50 or # Supertrend flips or # Target hit (e.g., 1.5x risk)
Penunjuk Pine Script®
oleh abhishekacharya000
Heikin-Ashi Mean Reversion Oscillator [Alpha Extract]The Heikin-Ashi Mean Reversion Oscillator combines the smoothing characteristics of Heikin-Ashi candlesticks with mean reversion analysis to create a powerful momentum oscillator. This indicator applies Heikin-Ashi transformation twice - first to price data and then to the oscillator itself - resulting in smoother signals while maintaining sensitivity to trend changes and potential reversal points. 🔶 CALCULATION Heikin-Ashi Transformation: Converts regular OHLC data to smoothed Heikin-Ashi values Component Analysis: Calculates trend strength, body deviation, and price deviation from mean Oscillator Construction: Combines components with weighted formula (40% trend strength, 30% body deviation, 30% price deviation) Double Smoothing: Applies EMA smoothing and second Heikin-Ashi transformation to oscillator values Signal Generation: Identifies trend changes and crossover points with overbought/oversold levels Formula: HA Close = (Open + High + Low + Close) / 4 HA Open = (Previous HA Open + Previous HA Close) / 2 Trend Strength = Normalized consecutive HA candle direction Body Deviation = (HA Body - Mean Body) / Mean Body * 100 Price Deviation = ((HA Close - Price Mean) / Price Mean * 100) / Standard Deviation * 25 Raw Oscillator = (Trend Strength * 0.4) + (Body Deviation * 0.3) + (Price Deviation * 0.3) Final Oscillator = 50 + (EMA(Raw Oscillator) / 2) 🔶 DETAILS Visual Features: Heikin-Ashi Candlesticks: Smoothed oscillator representation using HA transformation with vibrant teal/red coloring Overbought/Oversold Zones: Horizontal lines at customizable levels (default 70/30) with background highlighting in extreme zones Moving Averages: Optional fast and slow EMA overlays for additional trend confirmation Signal Dashboard: Real-time table showing current oscillator status (Overbought/Oversold/Bullish/Bearish) and buy/sell signals Reference Lines: Middle line at 50 (neutral), with 0 and 100 boundaries for range visualization Interpretation: Above 70: Overbought conditions, potential selling opportunity Below 30: Oversold conditions, potential buying opportunity Bullish HA Candles: Green/teal candles indicate upward momentum Bearish HA Candles: Red candles indicate downward momentum MA Crossovers: Fast EMA above slow EMA suggests bullish momentum, below suggests bearish momentum Zone Exits: Price moving out of extreme zones (above 70 or below 30) often signals trend continuation 🔶 EXAMPLES Mean Reversion Signals: When the oscillator reaches extreme levels (above 70 or below 30), it identifies potential reversal points where price may revert to the mean. Example: Oscillator reaching 80+ levels during strong uptrends often precedes short-term pullbacks, providing profit-taking opportunities. Trend Change Detection: The double Heikin-Ashi smoothing helps identify genuine trend changes while filtering out market noise. Example: When oscillator HA candles change from red to teal after oversold readings, this confirms potential trend reversal from bearish to bullish. Moving Average Confirmation: Fast and slow EMA crossovers on the oscillator provide additional confirmation of momentum shifts. Example: Fast EMA crossing above slow EMA while oscillator is rising from oversold levels provides strong bullish confirmation signal. Dashboard Signal Integration: The real-time dashboard combines oscillator status with directional signals for quick decision-making. Example: Dashboard showing "Oversold" status with "BUY" signal when HA candles turn bullish provides clear entry timing. 🔶 SETTINGS Customization Options: Calculation: Oscillator period (default 14), smoothing factor (1-50, default 2) Levels: Overbought threshold (50-100, default 70), oversold threshold (0-50, default 30) Moving Averages: Toggle display, fast EMA length (default 9), slow EMA length (default 21) Visual Enhancements: Show/hide signal dashboard, customizable table position Alert Conditions: Oversold bounce, overbought reversal, bullish/bearish MA crossovers The Heikin-Ashi Mean Reversion Oscillator provides traders with a sophisticated momentum tool that combines the smoothing benefits of Heikin-Ashi analysis with mean reversion principles. The double transformation process creates cleaner signals while the integrated dashboard and multiple confirmation methods help traders identify high-probability entry and exit points during both trending and ranging market conditions.
Penunjuk Pine Script®
oleh AlphaExtract
SPX500 Quick Drop & Rise AlertsSimple script thats been adjusted for 1 minute trading on spx500. It will show you and signal to you: dropThreshold: how much the price must rise or fall (in percent) to trigger a signal. Default is 0.05 → 5%. lookbackBars: how many bars back to compare against. Default is 1 (i.e., compare the current close to the previous bar’s close). Theirs a few ways to use this, you might want to use your MA 238 as a reference point. Use it as a target or a level to bounce or reject from. Then use this indicator to help show you where the market energy is flowing. Do some backtesting and see what you see. Only use it for New York open times would probably be best. Youll have to change your mentality depending on if the market is trending / ranging ect of course.
Penunjuk Pine Script®
oleh PaperChains
Vix_Fix Enhanced MTF [Cometreon]The VIX Fix Enhanced is designed to detect market bottoms and spikes in volatility, helping traders anticipate major reversals with precision. Unlike standard VIX Fix tools, this version allows you to control the standard deviation logic, switch between chart styles, customize visual outputs, and set up advanced alerts — all with no repainting. 🧠 Logic and Calculation This indicator is based on Larry Williams' VIX Fix and integrates features derived from community requests/advice, such as inverse VIX logic. It calculates volatility spikes using a customizable standard deviation of the lows and compares it to a moving high to identify potential reversal points. All moving average logic is based on Cometreon's proprietary library, ensuring accurate and optimized calculations on all 15 moving average types. 🔷 New Features and Improvements 🟩 Custom Visual Styles Choose how you want your VIX data displayed: Line Step Line Histogram Area Column You can also flip the orientation (bottom-up or top-down), change the source ticker, and tailor the display to match your charting preferences. 🟩 Multi-MA Standard Deviation Calculation Customize the standard deviation formula by selecting from 15 different moving averages: SMA (Simple Moving Average) EMA (Exponential Moving Average) WMA (Weighted Moving Average) RMA (Smoothed Moving Average) HMA (Hull Moving Average) JMA (Jurik Moving Average) DEMA (Double Exponential Moving Average) TEMA (Triple Exponential Moving Average) LSMA (Least Squares Moving Average) VWMA (Volume-Weighted Moving Average) SMMA (Smoothed Moving Average) KAMA (Kaufman’s Adaptive Moving Average) ALMA (Arnaud Legoux Moving Average) FRAMA (Fractal Adaptive Moving Average) VIDYA (Variable Index Dynamic Average) This gives you fine control over how volatility is measured and allows tuning the sensitivity for different market conditions. 🟩 Full Control Over Percentile and Deviation Conditions You can enable or disable lines for standard deviation and percentile conditions, and define whether you want to trigger on over or under levels — adapting the indicator to your exact logic and style. 🟩 Chart Type Selection You're no longer limited to candlestick charts! Now you can use Vix_Fix with different chart formats, including: Candlestick Heikin Ashi Renko Kagi Line Break Point & Figure 🟩 Multi-Timeframe Compatibility Without Repainting Use a different timeframe from your chart with confidence. Signals remain stable and do not repaint. Perfect for spotting long-term reversal setups on lower timeframes. 🟩 Alert System Ready Configure alerts directly from the indicator’s panel when conditions for over/under signals are met. Stay informed without needing to monitor the chart constantly. 🔷 Technical Details and Customizable Inputs This indicator includes full control over the logic and appearance: 1️⃣ Length Deviation High - Adjusts the lookback period used to calculate the high deviation level of the VIX logic. Shorter values make it more reactive; longer values smooth out the signal. 2️⃣ Ticker - Choose a different chart type for the calculation, including Heikin Ashi, Renko, Kagi, Line Break, and Point & Figure. 3️⃣ Style VIX - Change the visual style (Line, Histogram, Column, etc.), adjust line width, and optionally invert the display (bottom-to-top). 📌 Fill zones for deviation and percentile are active only in Line and Step Line modes 4️⃣ Use Standard Deviation Up / Down - Enable the overbought and oversold zone logic based on upper and lower standard deviation bands. 5️⃣ Different Type MA (for StdDev) - Choose from 15 different moving averages to define the calculation method for standard deviation (SMA, EMA, HMA, JMA, etc.), with dedicated parameters like Phase, Sigma, and Offset for optimized responsiveness. 6️⃣ BB Length & Multiplier - Adjust the period and multiplier for the standard deviation bands, similar to how Bollinger Bands work. 7️⃣ Show StdDev Up / Down Line - Enable or disable the visibility of upper and lower standard deviation boundaries. 8️⃣ Use Percentile & Length High - Activate the percentile-based logic to detect extreme values in historical volatility using a customizable lookback length. 9️⃣ Highest % / Lowest % - Set the high and low percentile thresholds (e.g., 85 for high, 99 for low) that will be used to trigger over/under signals. 🔟 Show High / Low Percentile Line - Toggle the visual display of the percentile boundaries directly on the chart for clearer signal reference. 1️⃣1️⃣ Ticker Settings – Customize parameters for special chart types such as Renko, Heikin Ashi, Kagi, Line Break, and Point & Figure, adjusting reversal, number of lines, ATR length, etc. 1️⃣2️⃣ Timeframe – Enables using SuperTrend on a higher timeframe. 1️⃣3️⃣ Wait for Timeframe Closes - ✅ Enabled – Displays Vix_Fix smoothly with interruptions. ❌ Disabled – Displays Vix_Fix smoothly without interruptions. ☄️ If you find this indicator useful, leave a Boost to support its development! Every feedback helps to continuously improve the tool, offering an even more effective trading experience. Share your thoughts in the comments! 🚀🔥
Penunjuk Pine Script®
oleh Cometreon
RSI TrendSignal🔍 **Smart RSI System – Free & Open Source** A powerful RSI-based indicator designed for traders who want clarity, simplicity, and filtered signals that *actually mean something*. --- ### 🎯 Key Features: ✅ Classic RSI with custom smoothing ✅ Optional Bollinger Bands over RSI ✅ Built-in Divergence Detection (Regular Bullish/Bearish) ✅ Dynamic Buy/Sell Conditions based on RSI + MA cross ✅ STAR signals for high-conviction entries (Overbought/Oversold + strength filter) ✅ ATR-based strength filter and custom visualizations ✅ Works great on **crypto**, **forex**, or **indices** ✅ Fully open-source and beginner-friendly! --- ### 📊 Recommended Timeframes: 15min, 1H, 4H, Daily – test and adjust settings for your style. --- ### ⚙️ How to Use: 1. Watch for **Buy/Sell** shapes when RSI confirms crossover with smoothed MA. 2. **STAR signals** are stronger – when RSI is above 70 or below 30 with momentum separation. 3. Divergences (optional) can confirm reversals. 4. Use ATR plot or your own trailing stop logic for exit strategy. --- 🔔 Alerts are built-in and ready to use. 📌 You can connect them to bots, webhooks, or Telegram (see alert templates in the script). --- 🧠 **Built by a trader, for traders.** Use this as a base and build your own version – or just trade it as is. --- --- 💬 **Feedback / Questions / Want to talk?** Feel free to message me on Telegram: 👉 (t.me/Ario_pinescript_pogramer) This is a clean version of RSI TrendSignal with improved alerts. It uses RSI cross with a smoothed moving average to generate filtered buy/sell signals. No external links or bots. Fully compliant with TradingView rules. 📺 Demo & Tutorial coming soon on my YouTube channel – stay tuned
Penunjuk Pine Script®
oleh setbet215
EMA 12/21 Crossover with ATR-based SL/TPRecommended ATR Lenght: 7 ATR multiplier for stop loss: 1.5 ATR multiplier for take profit: 2 Recalculate- aftter order is filled: Make sure you put this on if using these settings. Using standard OHLC: put on. Theses settings make you 50% win rate with 1.5 profit factor 📈 Ultimate Scalper v2 Strategy Type: Trend-Pullback Scalping Indicators Used: EMA (12/21), MACD Histogram, ADX, ATR Platform: TradingView (Pine Script v5) Author: robinunga16 🎯 Strategy Overview The Ultimate Scalper v2 is a scalping strategy that catches pullbacks within short-term trends using a dynamic combination of 12/21 EMA bands, MACD Histogram crossovers, and ADX for trend confirmation. It uses ATR-based stop-loss and take-profit levels, making it suitable for volatility-sensitive environments. 🧠 Logic Breakdown 🔍 Trend Detection Uses the 12 EMA and 21 EMA to identify the short-term trend: Uptrend: EMA 12 > EMA 21 and ADX > threshold Downtrend: EMA 12 < EMA 21 and ADX > threshold The ADX (default: 25) filters out low-momentum environments. 📉 Pullback Identification Once a trend is detected: A pullback is flagged when the MACD Histogram moves against the trend (below 0 in uptrend, above 0 in downtrend). An entry signal is triggered when the histogram crosses back through zero (indicating momentum is resuming in the trend direction). 🟢 Entry Conditions Long Entry: EMA 12 > EMA 21 ADX > threshold MACD Histogram was below 0 and crosses above 0 Short Entry: EMA 12 < EMA 21 ADX > threshold MACD Histogram was above 0 and crosses below 0 ❌ Exit Logic (ATR-based) The strategy calculates stop-loss and take-profit levels using ATR at the time of entry: Stop-Loss: Entry Price −/+ ATR × Multiplier Take-Profit: Entry Price ± ATR × 2 × Multiplier Default ATR Multiplier: 1.0 ⚙️ Customizable Inputs ADX Threshold: Minimum trend strength for trades (default: 25) ATR Multiplier: Controls SL/TP distance (default: 1.0) 📊 Visuals EMA 12 and EMA 21 band can be added manually for visual reference. Entry and exit signals are plotted via TradingView’s built-in backtesting engine. ⚠️ Disclaimer This is a backtesting strategy, not financial advice. Performance varies across markets and timeframes. Always combine with additional confluence or risk management when going live.
Strategi Pine Script®
oleh RUmbro16
EMA 12/21 Crossover with ATR-based SL/TP📈 Ultimate Scalper v2 Strategy Type: Trend-Pullback Scalping Indicators Used: EMA (12/21), MACD Histogram, ADX, ATR Platform: TradingView (Pine Script v5) Author: 🎯 Strategy Overview The Ultimate Scalper v2 is a scalping strategy that catches pullbacks within short-term trends using a dynamic combination of 12/21 EMA bands, MACD Histogram crossovers, and ADX for trend confirmation. It uses ATR-based stop-loss and take-profit levels, making it suitable for volatility-sensitive environments. 🧠 Logic Breakdown 🔍 Trend Detection Uses the 12 EMA and 21 EMA to identify the short-term trend: Uptrend: EMA 12 > EMA 21 and ADX > threshold Downtrend: EMA 12 < EMA 21 and ADX > threshold The ADX (default: 25) filters out low-momentum environments. 📉 Pullback Identification Once a trend is detected: A pullback is flagged when the MACD Histogram moves against the trend (below 0 in uptrend, above 0 in downtrend). An entry signal is triggered when the histogram crosses back through zero (indicating momentum is resuming in the trend direction). 🟢 Entry Conditions Long Entry: EMA 12 > EMA 21 ADX > threshold MACD Histogram was below 0 and crosses above 0 Short Entry: EMA 12 < EMA 21 ADX > threshold MACD Histogram was above 0 and crosses below 0 ❌ Exit Logic (ATR-based) The strategy calculates stop-loss and take-profit levels using ATR at the time of entry: Stop-Loss: Entry Price −/+ ATR × Multiplier Take-Profit: Entry Price ± ATR × 2 × Multiplier Default ATR Multiplier: 1.0 ⚙️ Customizable Inputs ADX Threshold: Minimum trend strength for trades (default: 25) ATR Multiplier: Controls SL/TP distance (default: 1.0) 📊 Visuals EMA 12 and EMA 21 band can be added manually for visual reference. Entry and exit signals are plotted via TradingView’s built-in backtesting engine. ⚠️ Disclaimer This is a backtesting strategy, not financial advice. Performance varies across markets and timeframes. Always combine with additional confluence or risk management when going live.
Strategi Pine Script®
oleh RUmbro16
Advanced VW SMI w/ Divergence, Confirmations & TableVolume-Weighted SMI with Dynamic Divergence and Confirmation Description: This advanced indicator combines the Stochastic Momentum Index (SMI) with volume weighting, dynamic overbought/oversold bands, and robust divergence detection to help you spot true momentum reversals confirmed by volume, trend, and momentum. Features Volume-Weighted SMI The SMI is amplified or dampened based on normalized volume, filtering out low-interest price moves and highlighting those with real conviction. Dynamic OB/OS Bands Overbought and oversold levels adapt automatically to current volatility and trend using moving average and standard deviation bands, keeping signals relevant across all market regimes. Divergence Detection with Visuals Real-time bullish and bearish divergence signals are drawn right on the SMI line, including lines and labels, making reversal setups easy to spot. Triple Confirmation Divergence signals are filtered by: Volume surge (user adjustable) RSI extremes (oversold/overbought) Higher timeframe trend (optional EMA filter) Customizable Volume Weighting Adjust how much influence volume has on SMI signals—tune sensitivity to your market and style. Performance Table Track bullish/bearish divergence counts in real time. How to Use Add to your chart. (Move to a separate pane for best results.) Adjust settings to fit your market (lengths, volume power, trend filter, etc.). Watch for colored SMI moves outside dynamic bands for momentum extremes. Look for divergences marked by arrows, lines, and labels on the SMI. Use table count for an overview of signal frequency. Tips Works on all timeframes; try adjusting dynamic band length for higher timeframes. For scalping, lower the SMI and pivot lengths. For swing trading, enable trend and volume confirmations for higher confidence. Use with other price action signals for best results. Created with Pine Script v5. If you find this helpful, please give it a like or comment!
Penunjuk Pine Script®
oleh Tonsil
Polynomial Deviation BandsThis indicator applies polynomial regression of selectable degree (1st to 4th) to recent price data, fitting a smooth curve that models the underlying price trend more flexibly than linear regression. Around this polynomial regression line, it plots dynamic deviation bands calculated using a variety of selectable methods—including standard deviation, mean/median absolute deviation, exponential deviation, true range deviation, Hull, Frama, Kaufman adaptive, Gaussian weighted, and quantile deviation—providing a comprehensive view of price volatility and dispersion. Key Features: Polynomial regression fit updated on each bar, capturing nonlinear price trends. Multiple deviation calculation options allow customization of band sensitivity and robustness. Bands adjust dynamically to changing volatility and price behavior. Overlay on price chart with optional candle coloring based on trend signals derived from price relative to bands. Trend signals indicated by price crossing upper or lower bands. Useful for identifying trend direction, potential support/resistance, and volatility expansion/contraction. This tool combines advanced statistical modeling with flexible volatility measures to help traders better understand price structure and make informed trading decisions. The indicator is computationally efficient despite polynomial fitting and offers extensive customization for diverse trading styles and markets. Disclaimer Disclaimer: This indicator is provided for educational and informational purposes only and does not constitute investment advice. Trading involves risk and may result in financial loss. Always perform your own research and consult with a qualified financial advisor before making any trading decisions.
Penunjuk Pine Script®
oleh MintLeafEdge
1
Options Volatility Strategy Analyzer [TradeDots]The Options Volatility Strategy Analyzer is a specialized tool designed to help traders assess market conditions through a detailed examination of historical volatility, market benchmarks, and percentile-based thresholds. By integrating multiple volatility metrics (including VIX and VIX9D) with color-coded regime detection, the script provides users with clear, actionable insights for selecting appropriate options strategies. 📝 HOW IT WORKS 1. Historical Volatility & Percentile Calculations Annualized Historical Volatility (HV): The script automatically computes the asset’s historical volatility using log returns over a user-defined period. It then annualizes these values based on the chart’s timeframe, helping you understand the asset’s typical volatility profile. Dynamic Percentile Ranks: To gauge where the current volatility level stands relative to past behavior, historical volatility values are compared against short, medium, and long lookback periods. Tracking these percentile ranks allows you to quickly see if volatility is high or low compared to historical norms. 2. Multi-Market Benchmark Comparison VIX and VIX9D Integration: The script tracks market volatility through the VIX and VIX9D indices, comparing them to the asset’s historical volatility. This reveals whether the asset’s volatility is outpacing, lagging, or remaining in sync with broader market volatility conditions. Market Context Analysis: A built-in term-structure check can detect market stress or relative calm by measuring how VIX compares to shorter-dated volatility (VIX9D). This helps you decide if the present environment is risk-prone or relatively stable. 3. Volatility Regime Detection Color-Coded Background: The analyzer assigns a volatility regime (e.g., “High Asset Vol,” “Low Asset Vol,” “Outpacing Market,” etc.) based on current historical volatility percentile levels and asset vs. market ratios. A color-coded background highlights the regime, enabling traders to quickly interpret the market’s mood. Alerts on Regime Changes & Spikes: Automated alerts warn you about any significant expansions or contractions in volatility, allowing you to react swiftly in changing conditions. 4. Strategy Forecast Table Real-Time Strategy Suggestions: At the close of each bar, an on-chart table generates suggested options strategies (e.g., selling premium in high volatility or buying premium in low volatility). These suggestions provide a quick summary of potential tactics suited to the current regime. Contextual Market Data: The table also displays key statistics, such as VIX levels, asset historical volatility percentile, or ratio comparisons, helping you confirm whether volatility conditions warrant more conservative or more aggressive strategies. 🛠️ HOW TO USE 1. Select Your Timeframe: The script supports multiple timeframes. For short-term trading, intraday charts often reveal faster shifts in volatility. For swing or position trading, daily or weekly charts may be more stable and produce fewer false signals. 2. Check the Volatility Regime: Observe the background color and on-chart labels to identify the current regime (e.g., “HIGH ASSET VOL,” “LOW VOL + LAGGING,” etc.). 3. Review the Forecast Table: The table suggests strategy ideas (e.g., iron condors, long straddles, ratio spreads) depending on whether volatility is elevated, subdued, or spiking. Use these as a starting point for designing trades that match your risk tolerance. 4. Combine with Additional Analysis: For optimal results, confirm signals with your broader trading plan, technical tools (moving averages, price action), and fundamental research. This script is most effective when viewed as one component in a comprehensive decision-making process. ❗️LIMITATIONS Directional Neutrality: This indicator analyzes volatility environments but does not predict price direction (up/down). Traders must combine with directional analysis for complete strategy selection. Late or Missed Signals: Since all calculations require a bar to close, sharp intrabar volatility moves may not appear in real-time. False Positives in Choppy Markets: Rapid changes in percentile ranks or VIX movements can generate conflicting or premature regime shifts. Data Sensitivity: Accuracy depends on the availability and stability of volatility data. Significant gaps or unusual market conditions may skew results. Market Correlation Assumptions: The system assumes assets generally correlate with S&P 500 volatility patterns. May be less effective for: Small-cap stocks with unique volatility drivers International stocks with different market dynamics Sector-specific events disconnected from broad market Cryptocurrency-related assets with independent volatility patterns RISK DISCLAIMER Options trading involves substantial risk and is not suitable for all investors. Options strategies can result in significant losses, including the total loss of premium paid. The complexity of options strategies requires thorough understanding of the risks involved. This indicator provides volatility analysis for educational and informational purposes only and should not be considered as investment advice. Past volatility patterns do not guarantee future performance. Market conditions can change rapidly, and volatility regimes may shift without warning. No trading system can guarantee profits, and all trading involves the risk of loss. The indicator's regime classifications and strategy suggestions should be used as part of a comprehensive trading plan that includes proper risk management, directional analysis, and consideration of broader market conditions.
Penunjuk Pine Script®
oleh tradedots
Optimized Trend [DaviddTech]Optimized Trend is a comprehensive trend-following indicator that combines multiple analytical techniques for improved decision-making. Key Features: Zero-Lag Exponential Moving Average (ZLEMA) to reduce lag and track price movements more effectively. Adaptive Lag Control: The lag of the ZLEMA can be automatically adjusted based on market volatility (ATR), or manually set for user preference. Composite Score: A weighted measure combining ZLEMA momentum, short-term price changes, ATR-based volatility, and money flow (using Chaikin Money Flow and Money Flow Index). This creates a 0–100 score reflecting overall market strength. Dynamic Bands: ATR-based upper and lower bands shift depending on price relative to the ZLEMA, acting as dynamic support/resistance. Trend Cross Alerts: Plots buy and sell dots when the price crosses the ZLEMA for quick trade signals. Summary Table: Displays key data including composite score, volatility, trend direction, current lag setting, and a market narrative. Uniqueness & Research Basis: This indicator incorporates an adaptive lag mechanism tied to ATR volatility, making the trendline more responsive during high volatility and smoother during calmer markets. It also blends multiple volume/flow metrics into a single money flow component, delivering a synthesized view of market strength not found in traditional ZLEMA tools. How to Use: Identify Trend Direction: Use the ZLEMA color (teal for bullish, maroon for bearish) and composite score to confirm market bias. Monitor Bands: Price reaching the upper band (red fill) may indicate overbought conditions, while the lower band (green fill) may signal oversold conditions. Entry/Exit Signals: Watch for the plotted (buy) and (sell) dots as potential trade signals. Fine-Tune Sensitivity: Adjust ZLEMA length and lag settings in the inputs to better match your trading timeframe and style. Adaptive Lag: Enable or disable to see how dynamic volatility affects responsiveness. This indicator is designed for educational purposes only and should be used with additional confirmation and risk management in your trading plan.
Penunjuk Pine Script®
oleh renderingnature1
BBS – Bond Breadth Signal"When bonds scream, breadth collapses, and fear spikes — BBS listens." 🧠 BBS – Bond Breadth Signal A reversal timing tool built on macro conviction, not price noise. The Bond Breadth Signal (BBS) was developed to identify major market inflection points by combining four key market stress indicators: 1) 10-Year Yield ROC – Measures sharp moves in the bond market 2) Z-Score of the 10Y – Captures statistical extremes 3) NSHF (Net Highs–Lows) – Signals internal market strength or weakness 4) TLT ROC + VIX – Confirmations of flight to safety and volatility-driven fear When all conditions align, BBS marks either a For-Sure Buy or For-Sure Sell — these are rare, high-confidence signals designed to cut through noise and focus on true market dislocations. 🔧 Features: -Background color and signal arrows on confirmation days -Signals remain visually active for 3 days for added clarity -Fully adjustable thresholds and alert toggles -Plot panel for yield, TLT, NSHF, VIX, and Z-score visuals This tool isn’t designed to fire every day. It’s meant to wait for those moments when the market truly bends — not just wiggles. Best used on major indices (SPY, QQQ, IWM) to assess macro turning points.
Penunjuk Pine Script®
oleh Scatman_Jeff
OA - SMESSmart Money Entry Signals (SMES) The SMES indicator is developed to identify potential turning points in market behavior by analyzing internal price dynamics, rather than relying on external volume or sentiment data. It leverages normalized price movement, directional volatility, and smoothing algorithms to detect potential areas of accumulation or distribution by market participants. Core Concepts Smart Money Flow calculation based on normalized price positioning Directional VHF (Vertical Horizontal Filter) used to enhance signal directionality Overbought and Oversold regions defined with optional glow visualization Entry and Exit signals based on dynamic crossovers Highly customizable input parameters for precision control Key Inputs Smart Money Flow Period Smoothing Period Price Analysis Length Fibonacci Lookback Length Visual toggle options (zones, glow effects, signal display) Usage This tool plots the smoothed smart money flow as a standalone oscillator, designed to help traders identify potential momentum shifts or extremes in market sentiment. Entry signals are generated through crossover logic, while optional filters based on price behavior can refine those signals. Exit signals are shown when the smart money line exits extreme regions. Important Notes This indicator does not repaint Works on all timeframes and instruments Best used as a confirmation tool with other technical frameworks All calculations are based strictly on price data Disclaimer This script is intended for educational purposes only. It does not provide financial advice or guarantee performance. Please do your own research and apply appropriate risk management before making any trading decisions.
Penunjuk Pine Script®
oleh onurag
4