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C03 8 MAEasy way to enter up to 8 Moving Average, SMA or EMA How to use: Check and choose to use SMA or EMA -style 1: 5,8,13,21,34,55,89,144 -style 2: 8,13,41,200,243,300,500,700 -style 3: 15,30,50,100,200,300,500,700 i.e: When MA8 cross MA13 it can be used for scalping. When MA13 pulls back to MA34 you can buy more or sell more depending on the situation without having to exit your position prematurely before trend direction changes. This can also be used as position entry points to make sure you are getting the best possible price. If MA8, MA13 and MA34 cross over MA55: trend confirmed.
Indicador Pine Script®
por CandyCrypto
Key Levels [@treypeng]Draws horizontal lines for Daily, Hourly (1) and Weekly levels. Really handy to switch on quickly when scalping. Light blue: Previous hour OHLC Thick light blue: Previous hour Close / current hour Open Dark blue: Yesterday OHLC Thick dark blue: Yesterday Close / today Open Purple: Weekly Open It's a bit ugly, I'd prefer horizontal rays instead of lines stretching back across the chart but I couldn't figure out how to do this in PineScript. If I get it sorted, I'll publish an update.
Indicador Pine Script®
por trespeng
2
Ergodic Market Divergence (EMD)Ergodic Market Divergence (EMD) Bridging Statistical Physics and Market Dynamics Through Ensemble Analysis The Revolutionary Concept: When Physics Meets Trading After months of research into ergodic theory—a fundamental principle in statistical mechanics—I've developed a trading system that identifies when markets transition between predictable and unpredictable states. This indicator doesn't just follow price; it analyzes whether current market behavior will persist or revert, giving traders a scientific edge in timing entries and exits. The Core Innovation: Ergodic Theory Applied to Markets What Makes Markets Ergodic or Non-Ergodic? In statistical physics, ergodicity determines whether a system's future resembles its past. Applied to trading: Ergodic Markets (Mean-Reverting) - Time averages equal ensemble averages - Historical patterns repeat reliably - Price oscillates around equilibrium - Traditional indicators work well Non-Ergodic Markets (Trending) - Path dependency dominates - History doesn't predict future - Price creates new equilibrium levels - Momentum strategies excel The Mathematical Framework The Ergodic Score combines three critical divergences: Ergodic Score = (Price Divergence × Market Stress + Return Divergence × 1000 + Volatility Divergence × 50) / 3 Where: Price Divergence: How far current price deviates from market consensus Return Divergence: Momentum differential between instrument and market Volatility Divergence: Volatility regime misalignment Market Stress: Adaptive multiplier based on current conditions The Ensemble Analysis Revolution Beyond Single-Instrument Analysis Traditional indicators analyze one chart in isolation. EMD monitors multiple correlated markets simultaneously (SPY, QQQ, IWM, DIA) to detect systemic regime changes. This ensemble approach: Reveals Hidden Divergences: Individual stocks may diverge from market consensus before major moves Filters False Signals: Requires broader market confirmation Identifies Regime Shifts: Detects when entire market structure changes Provides Context: Shows if moves are isolated or systemic Dynamic Threshold Adaptation Unlike fixed-threshold systems, EMD's boundaries evolve with market conditions: Base Threshold = SMA(Ergodic Score, Lookback × 3) Adaptive Component = StDev(Ergodic Score, Lookback × 2) × Sensitivity Final Threshold = Smoothed(Base + Adaptive) This creates context-aware signals that remain effective across different market environments. The Confidence Engine: Know Your Signal Quality Multi-Factor Confidence Scoring Every signal receives a confidence score based on: Signal Clarity (0-35%): How decisively the ergodic threshold is crossed Momentum Strength (0-25%): Rate of ergodic change Volatility Alignment (0-20%): Whether volatility supports the signal Market Quality (0-20%): Price convergence and path dependency factors Real-Time Confidence Updates The Live Confidence metric continuously updates, showing: - Current opportunity quality - Market state clarity - Historical performance influence - Signal recency boost - Visual Intelligence System Adaptive Ergodic Field Bands Dynamic bands that expand and contract based on market state: Primary Color: Ergodic state (mean-reverting) Danger Color: Non-ergodic state (trending) Band Width: Expected price movement range Squeeze Indicators: Volatility compression warnings Quantum Wave Ribbons Triple EMA system (8, 21, 55) revealing market flow: Compressed Ribbons: Consolidation imminent Expanding Ribbons: Directional move developing Color Coding: Matches current ergodic state Phase Transition Signals Clear entry/exit markers at regime changes: Bull Signals: Ergodic restoration (mean reversion opportunity) Bear Signals: Ergodic break (trend following opportunity) Confidence Labels: Percentage showing signal quality Visual Intensity: Stronger signals = deeper colors Professional Dashboard Suite Main Analytics Panel (Top Right) Market State Monitor - Current regime (Ergodic/Non-Ergodic) - Ergodic score with threshold - Path dependency strength - Quantum coherence percentage Divergence Metrics - Price divergence with severity - Volatility regime classification - Strategy mode recommendation - Signal strength indicator Live Intelligence - Real-time confidence score - Color-coded risk levels - Dynamic strategy suggestions Performance Tracking (Left Panel) Signal Analytics - Total historical signals - Win rate with W/L breakdown - Current streak tracking - Closed trade counter Regime Analysis - Current market behavior - Bars since last signal - Recommended actions - Average confidence trends Strategy Command Center (Bottom Right) Adaptive Recommendations - Active strategy mode - Primary approach (mean reversion/momentum) - Suggested indicators ("weapons") - Entry/exit methodology - Risk management guidance - Comprehensive Input Guide Core Algorithm Parameters Analysis Period (10-100 bars) Scalping (10-15): Ultra-responsive, more signals, higher noise Day Trading (20-30): Balanced sensitivity and stability Swing Trading (40-100): Smooth signals, major moves only Default: 20 - optimal for most timeframes Divergence Threshold (0.5-5.0) Hair Trigger (0.5-1.0): Catches every wiggle, many false signals Balanced (1.5-2.5): Good signal-to-noise ratio Conservative (3.0-5.0): Only extreme divergences Default: 1.5 - best risk/reward balance Path Memory (20-200 bars) Short Memory (20-50): Recent behavior focus, quick adaptation Medium Memory (50-100): Balanced historical context Long Memory (100-200): Emphasizes established patterns Default: 50 - captures sufficient history without lag Signal Spacing (5-50 bars) Aggressive (5-10): Allows rapid-fire signals Normal (15-25): Prevents clustering, maintains flow Conservative (30-50): Major setups only Default: 15 - optimal trade frequency Ensemble Configuration Select markets for consensus analysis: SPY: Broad market sentiment QQQ: Technology leadership IWM: Small-cap risk appetite DIA: Blue-chip stability More instruments = stronger consensus but potentially diluted signals Visual Customization Color Themes (6 professional options): Quantum: Cyan/Pink - Modern trading aesthetic Matrix: Green/Red - Classic terminal look Heat: Blue/Red - Temperature metaphor Neon: Cyan/Magenta - High contrast Ocean: Turquoise/Coral - Calming palette Sunset: Red-orange/Teal - Warm gradients Display Controls: - Toggle each visual component - Adjust transparency levels - Scale dashboard text - Show/hide confidence scores - Trading Strategies by Market State - Ergodic State Strategy (Primary Color Bands) Market Characteristics - Price oscillates predictably - Support/resistance hold - Volume patterns repeat - Mean reversion dominates Optimal Approach Entry: Fade moves at band extremes Target: Middle band (equilibrium) Stop: Just beyond outer bands Size: Full confidence-based position Recommended Tools - RSI for oversold/overbought - Bollinger Bands for extremes - Volume profile for levels - Non-Ergodic State Strategy (Danger Color Bands) Market Characteristics - Price trends persistently - Levels break decisively - Volume confirms direction - Momentum accelerates Optimal Approach Entry: Breakout from bands Target: Trail with expanding bands Stop: Inside opposite band Size: Scale in with trend Recommended Tools - Moving average alignment - ADX for trend strength - MACD for momentum - Advanced Features Explained Quantum Coherence Metric Measures phase alignment between individual and ensemble behavior: 80-100%: Perfect sync - strong mean reversion setup 50-80%: Moderate alignment - mixed signals 0-50%: Decoherence - trending behavior likely Path Dependency Analysis Quantifies how much history influences current price: Low (<30%): Technical patterns reliable Medium (30-50%): Mixed influences High (>50%): Fundamental shift occurring Volatility Regime Classification Contextualizes current volatility: Normal: Standard strategies apply Elevated: Widen stops, reduce size Extreme: Defensive mode required Signal Strength Indicator Real-time opportunity quality: - Distance from threshold - Momentum acceleration - Cross-validation factors Risk Management Framework Position Sizing by Confidence 90%+ confidence = 100% position size 70-90% confidence = 75% position size 50-70% confidence = 50% position size <50% confidence = 25% or skip Dynamic Stop Placement Ergodic State: ATR × 1.0 from entry Non-Ergodic State: ATR × 2.0 from entry Volatility Adjustment: Multiply by current regime Multi-Timeframe Alignment - Check higher timeframe regime - Confirm ensemble consensus - Verify volume participation - Align with major levels What Makes EMD Unique Original Contributions First Ergodic Theory Trading Application: Transforms abstract physics into practical signals Ensemble Market Analysis: Revolutionary multi-market divergence system Adaptive Confidence Engine: Institutional-grade signal quality metrics Quantum Coherence: Novel market alignment measurement Smart Signal Management: Prevents clustering while maintaining responsiveness Technical Innovations Dynamic Threshold Adaptation: Self-adjusting sensitivity Path Memory Integration: Historical dependency weighting Stress-Adjusted Scoring: Market condition normalization Real-Time Performance Tracking: Built-in strategy analytics Optimization Guidelines By Timeframe Scalping (1-5 min) Period: 10-15 Threshold: 0.5-1.0 Memory: 20-30 Spacing: 5-10 Day Trading (5-60 min) Period: 20-30 Threshold: 1.5-2.5 Memory: 40-60 Spacing: 15-20 Swing Trading (1H-1D) Period: 40-60 Threshold: 2.0-3.0 Memory: 80-120 Spacing: 25-35 Position Trading (1D-1W) Period: 60-100 Threshold: 3.0-5.0 Memory: 100-200 Spacing: 40-50 By Market Condition Trending Markets - Increase threshold - Extend memory - Focus on breaks Ranging Markets - Decrease threshold - Shorten memory - Focus on restores Volatile Markets - Increase spacing - Raise confidence requirement - Reduce position size - Integration with Other Analysis - Complementary Indicators For Ergodic States - RSI divergences - Bollinger Band squeezes - Volume profile nodes - Support/resistance levels For Non-Ergodic States - Moving average ribbons - Trend strength indicators - Momentum oscillators - Breakout patterns - Fundamental Alignment - Check economic calendar - Monitor sector rotation - Consider market themes - Evaluate risk sentiment Troubleshooting Guide Too Many Signals: - Increase threshold - Extend signal spacing - Raise confidence minimum Missing Opportunities - Decrease threshold - Reduce signal spacing - Check ensemble settings Poor Win Rate - Verify timeframe alignment - Confirm volume participation - Review risk management Disclaimer This indicator is for educational and informational purposes only. It does not constitute financial advice. Trading involves substantial risk of loss and is not suitable for all investors. Past performance does not guarantee future results. The ergodic framework provides unique market insights but cannot predict future price movements with certainty. Always use proper risk management, conduct your own analysis, and never risk more than you can afford to lose. This tool should complement, not replace, comprehensive trading strategies and sound judgment. Markets remain inherently unpredictable despite advanced analysis techniques. Transform market chaos into trading clarity with Ergodic Market Divergence. Created with passion for the TradingView community Trade with insight. Trade with anticipation. — Dskyz , for DAFE Trading Systems
Indicador Pine Script®
por DskyzInvestments
4
Bimex Long Short PRO [PlungerMen]Hello! This free community edition is very good for all time frame , for all the crypto This Script recognized overbought area and over-selling area extremely accurate This Script is very well used as it works by itself and very well used in conjunction with the "Bitmex scalping " script, both compliment for each other. the "Bitmex Scalping" script is Free, you can find it If you want to be more accurate and more efficient, more comfortable when you do not want to see too many other indicators, you can register for our Professional edition. - The Professional Edition supports Level 1 and Level 2 commands, which are very effective in allocating funds and optimizing your profits Besides that,You will be supported by personal preferences, profit maximization - Register for a Professional version will be used 2 Script,Bimex Scalping Pro and Bitmex Long Short Pro - We will invite you to the signal channel with the announcement of the bottom and the peak of the BTC ,the big variable variable has exists We hope you enjoy this script. Your support will help us develop more good quality scripts in the future to serve the community **Remember, Like this script and posivite feedback if you are satisfied** if you have any questions Plz post a comment ... below here ****** Thanks
Indicador Pine Script®
por luongson107
62
Two Bar Break Line Alerts R1.0 by JustUncleLThis indicator with default settings is designed for BINARY OPTIONS trading. The indicator can also be used for Forex trading with some setting changes. The script shows Two Bar Pullback Break lines and alerts when those Break lines are Touched (broken) creating a short term momentum entry condition. For a Bullish Break (Green Up Arrow) to occur: first must have two (or three) consecutive bear (red) candles which is followed by a bull (green) candle creating a pivot point. The breakout occurs then the High of the current Bull (green) exceeds the highest point of the previous two (or three) pivotal bear candles. The green channel Line shows where the current Bullish BreakOut occurs. For a Bearish Break (Red Down Arrow) to occur: first must have two (or three) consecutive bull (green) candles which is followed by a bear (red) candle creating a pivot point. The breakout occurs when the Low of the current Bear (red) drops below the lowest point of the previous two (or three) pivotal Bull candles. The red channel Line shows where the current Bearish BreakOut occurs. The break Line Arrows can optionally be filtered by the Coloured MA (enabled by default), a longer term directional MA (disabled by default) and/or a MACD condition (enabled by default) as a momentum filter. You can optionally select three Bar break lines instead of two. The three bar break lines are actually equivalent to Guppy's Three Bar Count Back Line method for trade entries (see Guppy's video reference below). Included in this indicator is an ability to display some basic Binary Option statistics, when enabled (enabled by default) it shows Successful Bars in Yellow and failed Bars in Black and the last Nine numbers on the script title line represent the Binary option Statistics in order: %ITM rate Total orders Successful Orders Failed Orders Total candles tested Candles per Day Trades per Day Max Consecutive Wins Max Consecutive Losses You can start the Binary Option statistics from a specific Date, which is handy for checking more recent history. HINTS: BINARY OPTIONS trading: use 5min, 15m, 1hr or even Daily charts. Trade after the price touches one of the Breakout lines and the Arrow first appears. Wait for the price to come back from Break Line by 1 or 2 pips, the alert arrow must stay on and candle change to black, then take Binary trade expiry End of Candle. If price pull back and arrow turns off, don't trade this candle, move on you probably don't have momentum, there will be plenty of other trigger events. The backtesting results are good with ITM rates 65% to 72% on many currency pairs, commodities and indices. Realtime trading has confirmed the backtesting results and they could even be bettered, provided you are selective on which signals to trade (strong MACD support etc), that you are patient and disciplined to this trading method. FOREX trading: the default settings should work with scalping. For longer term trades try with settings change to a more standard MACD filter or slower to catch the longer term momentum swings and the idea would be to trade the first Break Line alert that occurs after a decent Pullback in the direction of the trend. Setting the SL to just above/below the Pivot High/Low and set target to two or three times SL. References: "Fundamentals of Price Action Trading for Forex, Stocks, Options and Futures" video: www.youtube.com Other videos by "basecamptrading" on Naked Trading. "Taking Profits in Today's Market by Daryl Guppy" video: www.youtube.com
Indicador Pine Script®
por JustUncleL
23
ADX Endor Bollinger BandsThis is a modified version of ADX , and it has a bollinger bands endorsed. An advantage of the indicator is allowing users to capture short term rise or drop of trend strength, particularly useful for scalping. There are three modes open to users: ADX, DIPlus and DIMinus. Users can simply choose the indicators in their favor. A breach of the upper bollinger band will be in blue, breaching lower band or inside-the-bands signals are painted in pink. Hope you will enjoy it. Make sure to follow my trading journal and give a thumb up to this post.
Indicador Pine Script®
por lonelygrass
Double CCI & RSI AlertHi, I am lonelygrass. It is suggested to use this indicator with my another script, Double CCI & RSI Trigger , . This EA consists of a CCI of 34 periods and RSI of 14 periods. The alert is created in hopes of distinguishing super short term trend and helping scalping. In general, triangleup (bullish) and triangledown (bearish) are shown near each bars. A qualifying bullish bar should (1) have a CCI value equaling 0 or more and (2) have a RSI value equaling 55 or more Instead, a bearish bar should (1) have a CCI value below 0 and (2) have a RSI value below 45 If you put two systems together, you will get an idea of when to initiate your trade and how to hold onto your trade until a counter signal comes off the graph.
Indicador Pine Script®
por lonelygrass
2
Fractal Resonance CompositeFractal Resonance Composite compresses 8 timescales of stochastic oscillators into just 3 color-coded composite lines: fast, medium and slow. Fast emphasizes the shorter timescale oscillators, medium considers all 8 timescales evenly, and slow emphasizes the longer timeframe oscillators. The composite lines indicate how overbought/sold the market is relative to the size of its recent movements. Major buys occur when all three composites enter the Oversold (green shaded) range and turn up, and major sells when all three reach the Overbought (red shaded) range and turn down. The fast line's quicker reversals and exaggerated alternations on smaller price moves makes it more fit for scalping. Notice the fast and medium lines tend to snap back toward the slow line like stretched rubber bands. As is particularly apparent in the slow line, the nifty mathematics of the compositing process reconstruct the topology (peaks and valleys) of the underlying price curve in a smoothly distorted "cartoon" form that has a very useful property: the composite lines are confined to +-100% Extreme Overbought/sold oscillatory ranges. (By definition, only extremely rare "parabolic" moves can push all 3 composites beyond +-100%). If we knew that price would always stay confined to a certain range, trading would be much easier, no? Always buy the bottom of the range and sell the top! How it works To understand what's behind this nifty property, consider the mathematics of LazyBear's WaveTrend port . The formula is fairly simple as indicators go yet statistically fundamental in a way that suggests it should have been the grandfather of all market stochastic oscillators. It's just a running average of the ratio: (price's current deviation from it's mean) ----------------------------------------------------------- (running average of absolute |price deviation from the mean| ) In formal statistics notation this is written: E{ (X - E{X}) / E{|X-E{X}|} } Where X is the price random variable and E{} the averaging or Expectation operator, implemented in this oscillator as exponential moving averages. Conceptually, the denominator measures and normalizes by the typical size of recent price moves. This normalization process is what stretches or compresses the local price movements such that the whole composite curve can stay within the oscillatory range. Attributes The default fast=.6, medium=1, slow=1.4 compositing factors give each line visually distinct behavior, but can be tweaked to emphasize different oscillator "speeds". Particular lines can be disabled by setting their line width to 0.
Indicador Pine Script®
por pythagoras
5
Pivot Boss 4 EMA Summary: Creates one indicator with four exponential moving averages based off the central pivot point which assists you in trading pure price action using floor pivots. This also helps you to avoid getting chopped up during price confluence. How to use: When T-Line cross Green Short EMA it can be used for scalping. When Short EMA pulls back to Medium EMA you can buy more or sell more without having to exit your position prematurely before trend direction changes. This can also be used as position entry points to make sure you are getting the best possible price. When T-Line, Short EMA and Medium EMA cross over Long EMA you go long or short.
Indicador Pine Script®
por DavidR.
14
NTL SCALP v2 with TP & SL (Absolute)🧠 NTL SCALP v2 with TP & SL (Absolute) – Smart Scalping Indicator Author: NTL Team Markets: Forex, Gold (XAUUSD), Crypto Recommended Timeframes: 1–15 minutes (Optimal: M3, M5) 📌 Key Features: Automatic BUY/SELL signals with clear entry points. Displays TP1, TP2, TP3, TP4, and SL directly on the chart. Win rate statistics panel showing hit rates for all targets. Dynamic EMA bands to identify trend direction and key zones. Noise filtering mechanism to avoid counter-trend entries. Optimized for fast-paced scalping and precise reversal detection. 📊 Example: Entry: BUY at 3376.72 → TP1 HIT, TP2 HIT, TP3 HIT... Real-time win rate displayed: 97.1% Total signals during session: 1274 ⚙️ Customizable Settings: TP and SL are calculated using absolute values (in price points). Adjustable levels for SL and all 4 TPs to fit your strategy. Easily integrated with alert systems or trading bots (EAs). You can include the chart image as a reference to show its visual clarity and performance. Let me know if you'd like me to help convert this into a Pine Script version or add more technical explanations.
Indicador Pine Script®
por Alexfx0963
⚡ HJR السكربت الأقوى لتداول العقود – إشارات مبكرة وموثوقة! 🟢 مخصص لمحترفي السكالبينق والعقود القصيرة 🔴 مدعوم بخوارزميات زخم، كسر، وفايبوناتشي ذكية ⏱ يعمل على: 5د، 15د، 30د، 1س ✅ لماذا هذا السكربت مختلف؟ 🔍 يدخل بعد الانعكاسات القوية – لا يتبع السوق بل يتوقعه 📊 يجمع 6 مصادر تحليل ذكية: MACD، RSI، ATR، Break of Structure، نمط الشمعة، فيبوناتشي 🔥 إشارات قليلة لكن عالية الدقة (تظهر فقط عند الفرص الجادة) 🛡️ فلترة متقدمة تمنع التكرار والإشارات الزائفة 🧠 تصميم بسيط… نتائج قوية! 🚀 مميزات فريدة: إشارات شراء 🔺 وبيع 🔻 محسوبة بدقة مستويات فيبو تلقائية (0.382 / 0.618) لقراءة الاختراقات تنبيهات جاهزة عند كل إشارة مخصص لأسواق متقلبة مثل SPX500 و NASDAQ مثالي لمتداولي العقود (Options, Futures) 🎯 🟢 Tailored for scalping pros and short-term options/futures traders 🔴 Powered by momentum detection, structural breakouts & smart Fibonacci logic ⏱ Works on: 5min, 15min, 30min, 1H timeframes ✅ Why is this script different? 🔍 It enters after strong reversals – it doesn’t follow the market, it predicts it 📊 Combines 6 precision analysis layers: MACD, RSI, ATR, Break of Structure (BOS), Candle Patterns & Dynamic Fibonacci 🔥 Minimal but ultra-accurate signals – only when all stars align 🛡️ Smart filtering system avoids fake/early entries 🧠 Clean layout… powerful results! 🚀 Unique Features: 🔺 Precision BUY signals 🔻 Accuracy SELL signals 📐 Auto-drawn Fibonacci zones (0.382 / 0.618) 🔔 Alerts for every opportunity ⏰ Session filter to match market hours 📈 Optimized for volatile markets like SPX500, NASDAQ, US30 & Gold 🎯 Ideal for: ✔️ Scalping & short-term contract traders ✔️ Traders who want smart entries, not random noise ✔️ Anyone who wants to be ahead of the move — not chasing it
Indicador Pine Script®
por l6_5
Categorical Market Morphisms (CMM)Categorical Market Morphisms (CMM) - Where Abstract Algebra Transcends Reality A Revolutionary Application of Category Theory and Homotopy Type Theory to Financial Markets Bridging Pure Mathematics and Market Analysis Through Functorial Dynamics Theoretical Foundation: The Mathematical Revolution Traditional technical analysis operates on Euclidean geometry and classical statistics. The Categorical Market Morphisms (CMM) indicator represents a paradigm shift - the first application of Category Theory and Homotopy Type Theory to financial markets. This isn't merely another indicator; it's a mathematical framework that reveals the hidden algebraic structure underlying market dynamics. Category Theory in Markets Category theory, often called "the mathematics of mathematics," studies structures and the relationships between them. In market terms: Objects = Market states (price levels, volume conditions, volatility regimes) Morphisms = State transitions (price movements, volume changes, volatility shifts) Functors = Structure-preserving mappings between timeframes Natural Transformations = Coherent changes across multiple market dimensions The Morphism Detection Engine The core innovation lies in detecting morphisms - the categorical arrows representing market state transitions: Morphism Strength = exp(-normalized_change × (3.0 / sensitivity)) Threshold = 0.3 - (sensitivity - 1.0) × 0.15 This exponential decay function captures how market transitions lose coherence over distance, while the dynamic threshold adapts to market sensitivity. Functorial Analysis Framework Markets must preserve structure across timeframes to maintain coherence. Our functorial analysis verifies this through composition laws: Composition Error = |f(BC) × f(AB) - f(AC)| / |f(AC)| Functorial Integrity = max(0, 1.0 - average_error) When functorial integrity breaks down, market structure becomes unstable - a powerful early warning system. Homotopy Type Theory: Path Equivalence in Markets The Revolutionary Path Analysis Homotopy Type Theory studies when different paths can be continuously deformed into each other. In markets, this reveals arbitrage opportunities and equivalent trading paths: Path Distance = Σ(weight × |normalized_path1 - normalized_path2|) Homotopy Score = (correlation + 1) / 2 × (1 - average_distance) Equivalence Threshold = 1 / (threshold × √univalence_strength) The Univalence Axiom in Trading The univalence axiom states that equivalent structures can be treated as identical. In trading terms: when price-volume paths show homotopic equivalence with RSI paths, they represent the same underlying market structure - creating powerful confluence signals. Universal Properties: The Four Pillars of Market Structure Category theory's universal properties reveal fundamental market patterns: 1. 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 2. 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 3. Product Objects (Market Equilibrium) Mathematical Definition = Universal property combining multiple objects into balanced state Market Translation = Price, volume, and volatility achieve multi-dimensional balance 4. 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 RetrySEverything that you bold i need to have the bold declarations around them for some reason you bold market states instead of what you actually bold. the first one was correct, you just more items needed to be bolded. Objects = Market states Should be Objects = Market statesEdit Categorical Market Morphisms (CMM) - Where Abstract Algebra Transcends Reality A Revolutionary Application of Category Theory and Homotopy Type Theory to Financial Markets Bridging Pure Mathematics and Market Analysis Through Functorial Dynamics Theoretical Foundation: The Mathematical Revolution Traditional technical analysis operates on Euclidean geometry and classical statistics. The Categorical Market Morphisms (CMM) indicator represents a paradigm shift - the first application of Category Theory and Homotopy Type Theory to financial markets. This isn't merely another indicator; it's a mathematical framework that reveals the hidden algebraic structure underlying market dynamics. Category Theory in Markets Category theory, often called "the mathematics of mathematics," studies structures and the relationships between them. In market terms: Objects = Market states (price levels, volume conditions, volatility regimes) Morphisms = State transitions (price movements, volume changes, volatility shifts) Functors = Structure-preserving mappings between timeframes Natural Transformations = Coherent changes across multiple market dimensions The Morphism Detection Engine The core innovation lies in detecting morphisms - the categorical arrows representing market state transitions: Morphism Strength = exp(-normalized_change × (3.0 / sensitivity)) Threshold = 0.3 - (sensitivity - 1.0) × 0.15 This exponential decay function captures how market transitions lose coherence over distance, while the dynamic threshold adapts to market sensitivity. Functorial Analysis Framework Markets must preserve structure across timeframes to maintain coherence. Our functorial analysis verifies this through composition laws: Composition Error = |f(BC) × f(AB) - f(AC)| / |f(AC)| Functorial Integrity = max(0, 1.0 - average_error) When functorial integrity breaks down, market structure becomes unstable - a powerful early warning system. Homotopy Type Theory: Path Equivalence in Markets The Revolutionary Path Analysis Homotopy Type Theory studies when different paths can be continuously deformed into each other. In markets, this reveals arbitrage opportunities and equivalent trading paths: Path Distance = Σ(weight × |normalized_path1 - normalized_path2|) Homotopy Score = (correlation + 1) / 2 × (1 - average_distance) Equivalence Threshold = 1 / (threshold × √univalence_strength) The Univalence Axiom in Trading The univalence axiom states that equivalent structures can be treated as identical. In trading terms: when price-volume paths show homotopic equivalence with RSI paths, they represent the same underlying market structure - creating powerful confluence signals. Universal Properties: The Four Pillars of Market Structure Category theory's universal properties reveal fundamental market patterns: 1. 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 2. 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 3. Product Objects (Market Equilibrium) Mathematical Definition = Universal property combining multiple objects into balanced state Market Translation = Price, volume, and volatility achieve multi-dimensional balance 4. 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 Progressive Learning Path Week 1 = Master basic categorical concepts Week 2 = Understand universal properties in trading Week 3 = Learn homotopy path analysis Week 4 = Advanced consciousness detection Week 5 = Professional parameter optimization Conclusion: The Future of Market Analysis The Categorical Market Morphisms indicator represents more than a new technical tool - it's a paradigm shift toward mathematical rigor in market analysis. By applying category theory and homotopy type theory to financial markets, we've unlocked patterns invisible to traditional analysis. This isn't just about better signals or prettier charts. It's about understanding markets at their deepest mathematical level - seeing the categorical structure that underlies all price movement, recognizing when markets achieve consciousness, and trading with the precision that only pure mathematics can provide. Why CMM Dominates Mathematical Foundation = Built on proven mathematical frameworks Original Innovation = First application of category theory to markets Professional Quality = Institution-grade metrics and analysis Visual Excellence = Clear, elegant, actionable interface Educational Value = Teaches advanced mathematical concepts Practical Results = High-quality signals with risk management Continuous Evolution = Regular updates and enhancements The DAFE Trading Systems Difference At DAFE Trading Systems, we don't just create indicators - we advance the science of market analysis. Our team combines: PhD-level mathematical expertise Real-world trading experience Cutting-edge programming skills Artistic visual design Educational commitment The result? Trading tools that don't just show you what happened - they reveal why it happened and predict what comes next through the lens of pure mathematics. 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. DAFETradingSystems.com
Indicador Pine Script®
por DskyzInvestments
6
Swing Fibo Zone PRO + AlgoAlpha Swift Liquidity + RSI DivergenceHeadline: “Swing Fibo Zone PRO + Swift Liquidity: Advanced Price Action & Liquidity Detection” Description: Unlock next-level price action and liquidity insight with Swing Fibo Zone PRO + AlgoAlpha Swift Liquidity + RSI Divergence! Perfect for day traders, scalpers, and swing traders who want to track institutional sweeps, breakout traps, and high-probability reversal zones. Key Features: Dynamic Fibonacci Zones: Auto-detect the latest swing high/low and plot real-time Fibo zones (100, 75, 50, 25, 0) with price labels, customizable color/width/size. Swift Liquidity (AlgoAlpha): Accurately detects and draws high-volume liquidity sweep zones using higher timeframe price swings (with optional multiplier), adjustable line color, width, and style. Get instant “Bull Sweep” & “Bear Sweep” alerts on true mitigation! RSI Divergence Engine: Professional divergence signals (bull/bear), with full control of label size and color, for high-confidence setups in reaction zones. Highlight Zone Box: Instantly spot the top and bottom action zones with colored highlights. Clean UI – no label overlap, always easy-to-read. Modular & Customizable: Separate controls for Fibo lines, liquidity lines, and all label styles Full toggle: show/hide each feature as you like Completely array-safe, optimized for all timeframes How to Use: Apply to your chart – works best on intraday and swing timeframes. Adjust “Swing Strength” and “Interval” for your preferred swing/trend style. Set the TimeFrame Multiplier in the Swift Liquidity section (e.g. 4–8 for institutional liquidity). Customize all visual styles – line color, width, style, and label sizes for perfect clarity. Look for confluence: Major liquidity sweeps aligning with key Fibo zones RSI divergence signals at or near these zones Confirm with volume and candle structure Best Use Cases: Spotting liquidity grabs / stop hunts High-probability reversal and continuation setups Combining institutional orderflow with classic price action Scalping, swing trading, and intraday strategy development Tags: #liquidity #fibonacci #swingtrading #priceaction #scalping #orderflow #divergence #liquiditysweep #tradingstrategy #algoalpha Pro Tip: For the most robust results, combine liquidity sweep lines with Fibo zones and only trade setups with RSI divergence confirmation.
Indicador Pine Script®
por MILO888
RSI MA + Buy/Sell Tick % (Selectable Show Mode, Clean Labels)🔍 Headline: RSI MA + Buy/Sell Tick % (Selectable Show Mode) Description (Professional) Overview: This indicator blends RSI Moving Average signals with dynamic Buy/Sell Tick Volume Percentages for precision momentum and exhaustion filtering. You can choose to display labels only at Overbought/Oversold conditions or on every bar, allowing flexibility for both swing and scalping strategies. Key Features: Dual Display Modes: OB/OS Only: Show signals only when RSI MA is in Overbought/Oversold zones—ideal for reversal and exhaustion setups. All Bars: Show Buy/Sell Tick % for every candle—perfect for real-time scalpers and volume watchers. Professional Label Placement: Clean, non-intrusive labels under each bar for fast visual interpretation. Average Buy/Sell Tick values shown only at the far right of the chart (no overlay clutter). Customization: Adjustable RSI and Tick settings, text color, label size, and label offset for maximum chart integration. How to Use: Add the indicator to your chart. Configure RSI/Tick parameters and select “Show Labels Mode”: OB/OS Only: See labels only in extreme RSI MA zones for swing/reversal trades. All Bars: Monitor every bar’s buy/sell tick % for scalping or volume-momentum plays. Interpret signals: Green labels = Buy Tick %; Red labels = Sell Tick %. Use the “Average” labels at the right side as your reference for current session context. Combine with price action or other indicators to strengthen trade confirmation or filter false signals. Best For: NQ, ES, and Futures scalpers Momentum traders Reversal traders seeking exhaustion confirmation Anyone needing fast, visual tick volume context
Indicador Pine Script®
por MILO888
FOREXID by Ano_Jokamp354FOREXID FOREXID ~ is a custom indicator I developed based on a complex combination of RSI (Relative Strength Index), MACD, and ADX mechanisms . This indicator method is relatively simple. I dedicate this script to be used and accessed by everyone as a token of my gratitude to the market, which has provided me with better financial stability than before. I am from Indonesia and have been involved in the financial markets, specifically the cryptocurrency industry, since 2016. However, I am still new to the foreign exchange (Forex) market, having only started at the end of 2024. At the time this script was created (early 2025), I had not yet completed one full year in Forex. What Makes This Indicator Different? This indicator is designed to identify short to mid-term trading trends, making it especially suitable for scalping traders who engage in active daily transactions. It reads the market situation from a short to medium-term perspective. Specifications Detects potential trend reversals using the RSI overbought/oversold mechanism. Identifies whether a trend may reverse or continue. Tracks strong reversal potential through RSI, MACD and ADX mechanisms. Rules Can be used on any time frame under 4 hours. Always match your lot size with your available equity. This indicator functions based on market conditions; do not leave trades unattended before exiting the market. How to Use ENTRY SELL/SHORT : When RSI touches the overbought line and the background turns red, wait until the background disappears, then open an instant sell position. ENTRY BUY/LONG : When RSI touches the oversold line and the background turns green, wait until the background disappears, then open an instant buy position. For SELL : Place Stop Loss(SL) halfway between the Entry Price and the Lowest Low. For BUY : Place Stop Loss(SL) halfway between the Entry Price and the Highest High. Low Risk : Exit when RSI crosses the level 50. (Higher accuracy but lower return) High Risk : (SELL : Exit when RSI crosses below level 40) or (BUY : Exit when RSI crosses above level 60). (This offers lower accuracy but higher return potential) I am not yet an expert in Forex compared to my experience in crypto. This script is still in its early stages, and we will continue to monitor how it responds to market conditions. If more efficient methods are discovered, we will strive to improve it with additional features. Still, with the right logic and design, I hope this indicator helps fellow traders to trade more calmly - without blindly guessing market direction - making trading more relaxed and less stressful. Disclaimer Although this indicator provides decent efficiency, you must stay alert and monitor the market while your trades are open. Since this is a scalping indicator , active monitoring is required until you exit. Additionally, trading is inherently a high-risk activity, so always apply proper risk management and follow a disciplined strategy . Do not trade recklessly. I hope this indicator will be helpful to many traders around the world. Best regards, Ano_Jokamp354
Indicador Pine Script®
por Ano_Jokamp354
Paul_BDT Osc. MACD, ADX, CHOP, RSI & CVD🔧 Overview Modular multi-oscillator engine designed for actionable and filtered trading signals. It combines the power of MACD, ADX, CHOP, RSI, and CVD, integrates advanced divergence detection, a multi-timeframe dashboard, and a built-in risk management system. ⸻ 🚨 Alert System Alerts are organized by signal type, oscillator used, and timeframe block, with precision controls for filtering and sensitivity. 1. Oscillator Alerts (Osc.) Triggers ▲ / ▼ triangle markers based on trend momentum shifts detected on the selected oscillator: • MACD: triggers when histogram crosses 0 with bullish or bearish slope • ADX: triggers on directional breakout with increasing trend strength • CHOP: signals trend resumption after choppy market phase • RSI: breakout from dynamic support/resistance using pivot detection • CVD: shift in buy/sell pressure based on aggregated volume delta ✅ All signals optionally trigger on bar close only (if enabled) 2. Divergence Alerts (Div.) Automatic detection of: • 🔼 Regular Divergences • Bullish: Lower lows in price, higher lows in oscillator • Bearish: Higher highs in price, lower highs in oscillator • 🔁 Hidden Divergences • Hidden Bullish: Higher lows in price, lower lows in oscillator • Hidden Bearish: Lower highs in price, higher highs in oscillator Alert trigger logic: • Divergences only trigger if confirmed by price action: → breakout from wick or close beyond BB/RSI dynamic bands • Alerts are non-repeating (fires only on signal change) 🔔 divergeUP and divergeDN are fired when divergence AND price condition are met. 3. Reversal Alerts (Rev.) Strict combo alert: • reverseUP = divergeUP AND bullish wick breakout • reverseDN = divergeDN AND bearish wick breakout 🧠 These are high-conviction signals, ideal for swing entries or reversion trades. 📊 Multi-Timeframe Support (4 Blocks) 4 independent blocks: • Scalp, Intra, Swing, Custom • Each block accepts 3 sorted timeframes • You can individually enable: • Oscillator alerts • Divergences • Reversals Example: • Scalp: RSI only, no divergence • Intra: CVD + reversal only • Swing: MACD + divergence + reversal Each timeframe is dynamically sorted and shown in a structured dashboard grid (TF01 to TF12), making the multi-timeframe readout seamless. ⸻ ⚙️ Additional Features • Full visual panel with color-coded trend indicators • Take Profit/Exit Alerts available on a custom timeframe • Built-in Money Management: • % or USD risk • Configurable R/R ratio • Minimum PnL threshold (filter out low-return setups) ⸻ ✅ Best Use Cases • High-frequency scalping (1s–1min) with real-time oscillator breakouts • Structured intraday/swing planning using divergence + reversal logic • Manual backtesting and alert-based discretionary entries ⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻ 🧠 Fonctionnalités • Oscillateurs personnalisables : activez un indicateur à la fois (MACD, ADX, CHOP, RSI, ou CVD) pour une analyse ciblée et lisible. • Détection des divergences : • Divergences classiques (bullish/bearish), • Divergences cachées (hidden bullish/bearish), • Filtres avancés pour ne détecter que les signaux pertinents (crossover/crossunder + break de mèche). • Multi-timeframes : • Jusqu’à 4 blocs configurables (scalp, intra, swing, custom), • Tri automatique des UT, • Alertes différenciées par bloc et par type de signal. • Visualisation modulaire : • Tableau de synthèse personnalisable, affichant l’état de chaque indicateur par UT, • Affichage hors graphique ou directement sur le chart, • Couleurs dynamiques pour les signaux haussiers, baissiers ou neutres. • Gestion du risque intégrée : • Paramétrez le risque en % du capital ou en valeur absolue (USD), • Ratio risk/reward configurable pour filtrer les signaux, • Seuil de profit minimum (PnL) configurable pour filtrer les signaux. • Support de volumes agrégés multi-exchange pour CVD : compatible avec les plateformes crypto (BITGET, BINANCE, etc). ⸻ ⚙️ Personnalisation • Choix du type de moyenne mobile (EMA, RMA, VWAP, etc.). • Activation sélective des signaux (Oscillateur, Divergence, Renversement) pour chaque bloc de timeframes. ⸻ 📈 Alertes intégrées • Compatibles avec les alertes automatiques de TradingView, • Détection de signaux d’entrée (achat/vente), divergences, renversements, • Configuration des alertes par type de signal et par timeframe (scalp/intra/swing/custom). ⸻ 🔍 Utilisations recommandées • Scalping haute fréquence (1s à 1min), • Intraday en multi-UT (5 à 30min), • Swing trading (1H à 1D), • Analyse technique avancée sur crypto, indices, forex ou actions. ⸻ 📌 Conclusion Ce script combine précision algorithmique et flexibilité de personnalisation.
Indicador Pine Script®
por Paul_BDT
2
FOREXID by Ano_Jokamp354FOREXID FOREXID ~ is a custom indicator I developed based on a complex combination of RSI (Relative Strength Index), MACD, and ADX mechanisms . This indicator method is relatively simple. I dedicate this script to be used and accessed by everyone as a token of my gratitude to the market, which has provided me with better financial stability than before. I am from Indonesia and have been involved in the financial markets, specifically the cryptocurrency industry, since 2016. However, I am still new to the foreign exchange (Forex) market, having only started at the end of 2024. At the time this script was created (early 2025), I had not yet completed one full year in Forex. What Makes This Indicator Different? This indicator is designed to identify short to mid-term trading trends, making it especially suitable for scalping traders who engage in active daily transactions. It reads the market situation from a short to medium-term perspective. Specifications Detects potential trend reversals using the RSI overbought/oversold mechanism. Identifies whether a trend may reverse or continue. Tracks strong reversal potential through RSI, MACD and ADX mechanisms. Rules Can be used on any time frame under 4 hours. Always match your lot size with your available equity. This indicator functions based on market conditions; do not leave trades unattended before exiting the market. How to Use ENTRY SELL/SHORT : When RSI touches the overbought line and the background turns red, wait until the background disappears, then open an instant sell position. ENTRY BUY/LONG : When RSI touches the oversold line and the background turns green, wait until the background disappears, then open an instant buy position. STOP LOSS (SL) : For SELL : Place SL halfway between the Entry Price and the Lowest Low. For BUY : Place SL halfway between the Entry Price and the Highest High. TAKE PROFIT (TP) : Low Risk : Exit when RSI crosses the 50 level for higher accuracy but lower return. High Risk : SELL : Exit when RSI crosses below level 40. BUY : Exit when RSI crosses above level 60. This offers lower accuracy but higher return potential. I am not yet an expert in Forex compared to my experience in crypto. This script is still in its early stages, and we will continue to monitor how it responds to market conditions. If more efficient methods are discovered, we will strive to improve it with additional features. Still, with the right logic and design, I hope this indicator helps fellow traders to trade more calmly - without blindly guessing market direction - making trading more relaxed and less stressful. Disclaimer Although this indicator provides decent efficiency, you must stay alert and monitor the market while your trades are open. Since this is a scalping indicator , active monitoring is required until you exit. Additionally, trading is inherently a high-risk activity, so always apply proper risk management and follow a disciplined strategy . Do not trade recklessly. I hope this indicator will be helpful to many traders around the world. Best regards, Ano_Jokamp354
Indicador Pine Script®
por Ano_Jokamp354
Alex Scalper with Volatility CheckAlex Scalper with Volatility Check - Script Description This Pine Script indicator is a comprehensive scalping strategy designed for short-term trading with built-in risk management and volatility filtering. Key Features: 📊 Core Strategy: Uses VWAP (Volume Weighted Average Price) as the primary trend filter Employs Stochastic oscillator for entry timing (oversold/overbought conditions) Generates buy signals when price is above VWAP with stochastic momentum Generates sell signals when price is below VWAP with stochastic reversal 🛡️ Risk Management: Volatility Protection: Automatically pauses trading during high volatility periods using ATR and Bollinger Band width analysis Multi-Target System: Three take-profit levels (10, 15, 25 points) for progressive profit-taking Fixed Stop Loss: 20-point stop loss protection Position Sizing: Dynamic lot size adjustment based on win/loss performance ⏰ Trading Hours: Restricted to US market hours (9:30-11:30 AM and 2:00-4:00 PM EST) Prevents trading during low-liquidity periods 🔔 Alert System: Real-time buy/sell alerts with complete trade information Includes entry price, stop loss, take profit levels, and position size Ready for automated trading integration 📈 Visual Elements: Green triangles for buy signals below price bars Red triangles for sell signals above price bars Orange volatility warning labels during high-risk periods This script is ideal for traders seeking a systematic approach to scalping with built-in protection against volatile market conditions.
Indicador Pine Script®
por domidragon90
Swing-Based Fibonacci Zone + Divergence SignalSwing-Based Fibonacci Zone + Divergence 🗞️ Short Headline: 🔍 Dynamic Fib Zone Engine for Price Action Traders 🧾 Description: This indicator dynamically draws Fibonacci-based support and resistance zones based on recent swing high and low points. It helps traders identify high-probability reversal, breakout, or scalping opportunities using adaptive price zones that update in real time. Integrated with divergence detection using RSI, it highlights potential bullish and bearish reversals with clean visual cues. 🔧 Key Features: 🔁 Auto-updating Fibonacci Zones (0%, 25%, 50%, 75%, 100%) 💡 Visual price level labels on the right side (customizable size/offset/color) 📉 Bearish RSI Divergence marker at top of the zone (100%) 📈 Bullish RSI Divergence marker at bottom of the zone (0%) 🎛️ Flexible configuration for zone styling and detection logic ⚡ Real-time updates – ideal for scalpers and intraday traders 🧠 Best Use Cases: Identify scalping entries when price breaks and closes above/below 25/75 zones Spot potential reversals using RSI divergence confirmations Support other systems like Order Flow, Delta, or Volume Analysis ⏱️ Recommended Timeframes: 1min / 5min / 15min / 1H
Indicador Pine Script®
por MILO888