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波動分析

Sinusoidal Cycles OscillatorTitle: Sinusoidal Cycles Oscillator – Multi-Cycle Market Indicator Description: Discover market rhythm with the Sinusoidal Cycles Oscillator, a powerful tool for technical analysis and cyclical trading. Three customizable cycles track short, medium, and long-term market oscillations. Cycle 1 serves as the main reference wave with an optional mirror envelope. Cycles 2 & 3 provide supporting harmonics for deeper insight. Composite wave averages all cycles to reveal overall market phase. Features: Fully adjustable periods and amplitude. Visualize tops, bottoms, and turning points at a glance. Oscillator ranges from -1 to +1 with clear threshold guides. Ideal for traders using cycle analysis, harmonic trading, or market timing. Easy-to-read visual overlay and separate panel option. Use it to: Identify potential price reversals. Compare market cycles across multiple timeframes. Enhance timing and entry/exit decisions.
Pine Script® インジケーター
egghenの投稿
Solar Wave by ninZa.coSolar Wave - trend indicator stands out with many key features to help traders enhance their trading, let's check below: Plot "Trend Vector" that interprets trend direction (uptrend or downtrend) and trend strength (strong or weak) Plot "Trailing Stop" for stop trailing management Allow configuring "Trend Vector" and "Trailing Stop" with ninZaATR adjustment Print trend steps and highlight step decreases to warn of trend weakness Colorize bars based on 4 statuses: uptrend strong, uptrend weak, downtrend strong, downtrend weak Colorize "Trend Vector" based on 4 statuses: uptrend strong, uptrend weak, downtrend strong, downtrend weak Colorize "Trailing Stop" to clearly show uptrend vs downtrend Paint background to clearly show uptrend vs downtrend Trigger alerts on trend start, pullback, strengthening Print markers on trend start, pullback, strengthening Be NinjaScript ready for advanced usage, only restricted by your imagination Expose dedicated NinjaScript signals 4 states of the markets (strong/weak uptrend, strong/weak downtrend) are displayed clearly with various visual signals to help you easily read: bar painting, plot colorization, background highlight. The best signal of Solar Wave is PULLBACK. As you know, a trend rarely goes straight, but often retraces – which creates great opportunities for pullback trading. In Solar Wave, pullbacks are our recommended signals for entries. From our testing and experiences, the first and second pullbacks are usually the most reliable and optimal entries.
Pine Script® インジケーター
ZuperViewの投稿
Cosmik Z-TP by ninZa.coWith Cosmik Z-TP - Trading System, you can: Enter trades confidently with highly reliable signals. Pinpoint where to place stops and profit targets with ease. Enjoy high rewards while keeping the risks low in every trade. Simplify your charts by kicking out 2, 3, or even 10 indicators. Customize the system to your unique trading approach. Get started with trading immediately. Enhance the enjoyment of your daily trading with a user-friendly interface. Identify the market's direction, spot signal zones, and make timely entry decisions. Simplified signal mechanism: During an uptrend, indicated by a green background and blue trailing stop, buy signals emerge within the blue signal zone. During a downtrend, identified by a red background and pink trailing stop, sell signals emerge within the pink signal zone. Advanced signal filter: You have the flexibility to control the quantity of signals within a trend phase or a range.
Pine Script® インジケーター
ZuperViewの投稿
Intellxis Premium InsightUnderstanding the Intellxis - Premium Insight Indicator This guide provides a way to understand the output of the Premium Insight plugin for TradingView. Its core feature is the "Premium Status" column, which analyzes how an option's premium behaves relative to the underlying asset's price. Use the below guide to decode every status message and leverage this powerful plugin in your trading. Call Option Statuses Strong (Spot 🡅): The Call premium is increasing as the underlying asset price rises. This confirms a bullish trend and indicates the option is behaving as expected. Down (Spot 🡇): The Call premium is decreasing as the underlying asset price falls. This is the normal, expected behavior for a call option in a downtrend. Down (Spot ⟷): The Call premium is decreasing while the underlying asset price is flat. This erosion of value is due to the passage of time and is an expected behavior. Weak (Spot 🡅): The Call premium is decreasing slightly even though the underlying asset price is rising. This is an anomaly and suggests weakness in the bullish move. Flat (Spot 🡅): The Call premium is not changing despite a rise in the underlying asset price. This indicates the premium is not responding to a favorable move, which is a sign of weakness. Strong (Spot 🡇): The Call premium is increasing even though the underlying asset price is falling. This is a highly counter-intuitive signal and could point to a sharp increase in implied volatility. MELTDOWN (Spot 🡅): The Call premium is collapsing significantly while the underlying asset price is RISING. This contradicts normal option behavior and may signal an imminent reversal or volatility crush. MELTDOWN (Spot ⟷): The Call premium is collapsing significantly while the underlying is flat. This suggests a massive drop in implied volatility or other strong selling pressure not related to price direction. Down Significantly (Spot 🡇): The Call premium is dropping significantly as the underlying spot price is moving down. Up (Spot ⟷): The Call premium is increasing while the underlying spot price is flat. This is likely due to a sudden increase in volatility. Flat (Spot ⟷): Normal: The Call premium is flat and the underlying spot price is also flat. Put Option Statuses Strong (Spot 🡇): The Put premium is increasing as the underlying asset price falls. This confirms a bearish trend and indicates the option is behaving as expected. Down (Spot 🡅): The Put premium is decreasing as the underlying asset price rises. This is the normal, expected behavior for a put option in an uptrend. Down (Spot ⟷): The Put premium is decreasing while the underlying asset price is flat. This erosion of value is due to the passage of time and is an expected behavior. Weak (Spot 🡇): The Put premium is dropping slightly even though the underlying asset price is falling. This is an anomaly and suggests weakness in the bearish move. Flat (Spot 🡇): The Put premium is not changing despite a fall in the underlying asset price. This indicates the premium is not responding to a favorable move, which is a sign of weakness. Strong (Spot 🡅): The Put premium is increasing even though the underlying asset price is rising. This is a highly counter-intuitive signal and could point to a sharp increase in implied volatility. MELTDOWN (Spot 🡇): The Put premium is collapsing significantly while the underlying asset price is FALLING. This contradicts normal option behavior and may signal an imminent reversal or volatility crush. MELTDOWN (Spot ⟷): The Put premium is collapsing significantly while the underlying is flat. This suggests a massive drop in implied volatility or other strong selling pressure not related to price direction. Down Significantly (Spot 🡅): The Put premium is dropping significantly as the underlying spot price is moving up. Up (Spot ⟷): The Put premium is increasing while the underlying spot price is flat. This is likely due to a sudden increase in volatility. Flat (Spot ⟷): The Put premium is flat and the underlying spot price is also flat.
Pine Script® インジケーター
Intellxisの投稿
Malama's Quantum Swing Modulator# Multi-Indicator Swing Analysis with Probability Scoring ## What Makes This Script Original This script combines pivot point detection with a **weighted scoring system** that dynamically adjusts indicator weights based on market regime (trending vs. ranging). Unlike standard multi-indicator approaches that use fixed weightings, this implementation uses ADX to detect market conditions and automatically rebalances the influence of RSI, MFI, and price deviation components accordingly. ## Core Methodology **Dynamic Weight Allocation System:** - **Trending Markets (ADX > 25):** Prioritizes momentum (50% weight) with reduced oscillator influence (20% each for RSI/MFI) - **Ranging Markets (ADX < 25):** Emphasizes mean reversion signals (40% each for RSI/MFI) with no momentum bias - **Price Wave Component:** Uses EMA deviation normalized by ATR to measure distance from central tendency **Pivot-Based Level Analysis:** - Detects swing highs/lows using configurable left/right lookback periods - Maintains the most recent pivot levels as key reference points - Calculates proximity scores based on current price distance from these levels **Volume Confirmation Logic:** - Defines "volume entanglement" when current volume exceeds SMA by user-defined factor - Integrates volume confirmation into confidence scoring rather than signal generation ## Technical Implementation Details **Scoring Algorithm:** The script calculates separate bullish and bearish "superposition" scores using: ``` Bullish Score = (RSI_bull × weight) + (MFI_bull × weight) + (price_wave × weight × position_filter) + (momentum × weight) ``` Where: - RSI_bull = 100 - RSI (inverted for oversold bias) - MFI_bull = 100 - MFI (inverted for oversold bias) - Position_filter = Only applies when price is below EMA for bullish signals - Momentum component = Only active in trending markets **Confidence Calculation:** Base confidence starts at 25% and increases based on: - Market regime alignment (trending/ranging appropriate conditions) - Volume confirmation presence - Oscillator extreme readings (RSI < 30 or > 70 in ranging markets) - Price position relative to wave function (EMA) **Probability Output:** Final probability = (Base Score × 0.6) + (Proximity Score × 0.4) This balances indicator confluence with proximity to identified levels. ## Key Differentiators **vs. Standard Multi-Indicator Scripts:** Uses regime-based dynamic weighting instead of fixed combinations **vs. Simple Pivot Indicators:** Adds quantified probability and confidence scoring to pivot levels **vs. Basic Oscillator Combinations:** Incorporates market structure analysis through ADX regime detection ## Visual Components **Wave Function Display:** EMA with ATR-based uncertainty bands for trend context **Pivot Markers:** Clear visualization of detected swing highs and lows **Analysis Table:** Real-time probability, confidence, and action recommendations for current pivot levels ## Practical Application The dynamic weighting system helps avoid common pitfalls of multi-indicator analysis: - Reduces oscillator noise during strong trends by emphasizing momentum - Increases mean reversion sensitivity during sideways markets - Provides quantified probability rather than subjective signal interpretation ## Important Limitations - Requires sufficient historical data for pivot detection and volume calculations - Probability scores are based on current market regime and may change as conditions evolve - The scoring system is designed for confluence analysis, not standalone trading decisions - Past probability accuracy does not guarantee future performance ## Technical Requirements - Works on all timeframes but requires adequate lookback history - Volume data required for entanglement calculations - Best suited for liquid instruments where volume patterns are meaningful This approach provides a systematic framework for evaluating swing trading opportunities while acknowledging the probabilistic nature of technical analysis.
Pine Script® インジケーター
makenlegacyの投稿
Auto-Fit Growth Trendline# **Theoretical Algorithmic Principles of the Auto-Fit Growth Trendline (AFGT)** ## **🎯 What Does This Algorithm Do?** The Auto-Fit Growth Trendline is an advanced technical analysis system that **automates the identification of long-term growth trends** and **projects future price levels** based on historical cyclical patterns. ### **Primary Functionality:** - **Automatically detects** the most significant lows in regular periods (monthly, quarterly, semi-annually, annually) - **Constructs a dynamic trendline** that connects these historical lows - **Projects the trend into the future** with high mathematical precision - **Generates Fibonacci bands** that act as dynamic support and resistance levels - **Automatically adapts** to different timeframes and market conditions ### **Strategic Purpose:** The algorithm is designed to identify **fundamental value zones** where price has historically found support, enabling traders to: - Identify optimal entry points for long positions - Establish realistic price targets based on mathematical projections - Recognize dynamic support and resistance levels - Anticipate long-term price movements --- ## **🧮 Core Mathematical Foundations** ### **Adaptive Temporal Segmentation Theory** The algorithm is based on **dynamic temporal partition theory**, where time is divided into mathematically coherent uniform intervals. It uses modular transformations to create bijective mappings between continuous timestamps and discrete periods, ensuring each temporal point belongs uniquely to a specific period. **What does this achieve?** It allows the algorithm to automatically identify natural market cycles (annual, quarterly, etc.) without manual intervention, adapting to the inherent periodicity of each asset. The temporal mapping function implements a **discrete affine transformation** that normalizes different frequencies (monthly, quarterly, semi-annual, annual) to a space of unique identifiers, enabling consistent cross-temporal comparative analysis. --- ## **📊 Local Extrema Detection Theory** ### **Multi-Point Retrospective Validation Principle** Local minima detection is founded on **relative extrema theory with sliding window**. Instead of using a simple minimum finder, it implements a cross-validation system that examines the persistence of the extremum across multiple historical periods. **What problem does this solve?** It eliminates false minima caused by temporal volatility, identifying only those points that represent true historical support levels with statistical significance. This approach is based on the **statistical confirmation principle**, where a minimum is only considered valid if it maintains its extremum condition during a defined observation period, significantly reducing false positives caused by transitory volatility. --- ## **🔬 Robust Interpolation Theory with Outlier Control** ### **Contextual Adaptive Interpolation Model** The mathematical core uses **piecewise linear interpolation with adaptive outlier correction**. The key innovation lies in implementing a **contextual anomaly detector** that identifies not only absolute extreme values, but relative deviations to the local context. **Why is this important?** Financial markets contain extreme events (crashes, bubbles) that can distort projections. This system identifies and appropriately weights them without completely eliminating them, preserving directional information while attenuating distortions. ### **Implicit Bayesian Smoothing Algorithm** When an outlier is detected (deviation >300% of local average), the system applies a **simplified Kalman filter** that combines the current observation with a local trend estimation, using a weight factor that preserves directional information while attenuating extreme fluctuations. --- ## **📈 Stabilized Extrapolation Theory** ### **Exponential Growth Model with Dampening** Extrapolation is based on a **modified exponential growth model with progressive dampening**. It uses multiple historical points to calculate local growth ratios, implements statistical filtering to eliminate outliers, and applies a dampening factor that increases with extrapolation distance. **What advantage does this offer?** Long-term projections in finance tend to be exponentially unrealistic. This system maintains short-to-medium term accuracy while converging toward realistic long-term projections, avoiding the typical "exponential explosions" of other methods. ### **Asymptotic Convergence Principle** For long-term projections, the algorithm implements **controlled asymptotic convergence**, where growth ratios gradually converge toward pre-established limits, avoiding unrealistic exponential projections while preserving short-to-medium term accuracy. --- ## **🌟 Dynamic Fibonacci Projection Theory** ### **Continuous Proportional Scaling Model** Fibonacci bands are constructed through **uniform proportional scaling** of the base curve, where each level represents a linear transformation of the main curve by a constant factor derived from the Fibonacci sequence. **What is its practical utility?** It provides dynamic resistance and support levels that move with the trend, offering price targets and profit-taking points that automatically adapt to market evolution. ### **Topological Preservation Principle** The system maintains the **topological properties** of the base curve in all Fibonacci projections, ensuring that spatial and temporal relationships are consistently preserved across all resistance/support levels. --- ## **⚡ Adaptive Computational Optimization** ### **Multi-Scale Resolution Theory** It implements **automatic multi-resolution analysis** where data granularity is dynamically adjusted according to the analysis timeframe. It uses the **adaptive Nyquist principle** to optimize the signal-to-noise ratio according to the temporal observation scale. **Why is this necessary?** Different timeframes require different levels of detail. A 1-minute chart needs more granularity than a monthly one. This system automatically optimizes resolution for each case. ### **Adaptive Density Algorithm** Calculation point density is optimized through **adaptive sampling theory**, where calculation frequency is adjusted according to local trend curvature and analysis timeframe, balancing visual precision with computational efficiency. --- ## **🛡️ Robustness and Fault Tolerance** ### **Graceful Degradation Theory** The system implements **multi-level graceful degradation**, where under error conditions or insufficient data, the algorithm progressively falls back to simpler but reliable methods, maintaining basic functionality under any condition. **What does this guarantee?** That the indicator functions consistently even with incomplete data, new symbols with limited history, or extreme market conditions. ### **State Consistency Principle** It uses **mathematical invariants** to guarantee that the algorithm's internal state remains consistent between executions, implementing consistency checks that validate data structure integrity in each iteration. --- ## **🔍 Key Theoretical Innovations** ### **A. Contextual vs. Absolute Outlier Detection** It revolutionizes traditional outlier detection by considering not only the absolute magnitude of deviations, but their relative significance within the local context of the time series. **Practical impact:** It distinguishes between legitimate market movements and technical anomalies, preserving important events like breakouts while filtering noise. ### **B. Extrapolation with Weighted Historical Memory** It implements a memory system that weights different historical periods according to their relevance for current prediction, creating projections more adaptable to market regime changes. **Competitive advantage:** It automatically adapts to fundamental changes in asset dynamics without requiring manual recalibration. ### **C. Automatic Multi-Timeframe Adaptation** It develops an automatic temporal resolution selection system that optimizes signal extraction according to the intrinsic characteristics of the analysis timeframe. **Result:** A single indicator that functions optimally from 1-minute to monthly charts without manual adjustments. ### **D. Intelligent Asymptotic Convergence** It introduces the concept of controlled asymptotic convergence in financial extrapolations, where long-term projections converge toward realistic limits based on historical fundamentals. **Added value:** Mathematically sound long-term projections that avoid the unrealistic extremes typical of other extrapolation methods. --- ## **📊 Complexity and Scalability Theory** ### **Optimized Linear Complexity Model** The algorithm maintains **linear computational complexity** O(n) in the number of historical data points, guaranteeing scalability for extensive time series analysis without performance degradation. ### **Temporal Locality Principle** It implements **temporal locality**, where the most expensive operations are concentrated in the most relevant temporal regions (recent periods and near projections), optimizing computational resource usage. --- ## **🎯 Convergence and Stability** ### **Probabilistic Convergence Theory** The system guarantees **probabilistic convergence** toward the real underlying trend, where projection accuracy increases with the amount of available historical data, following **law of large numbers** principles. **Practical implication:** The more history an asset has, the more accurate the algorithm's projections will be. ### **Guaranteed Numerical Stability** It implements **intrinsic numerical stability** through the use of robust floating-point arithmetic and validations that prevent overflow, underflow, and numerical error propagation. **Result:** Reliable operation even with extreme-priced assets (from satoshis to thousand-dollar stocks). --- ## **💼 Comprehensive Practical Application** **The algorithm functions as a "financial GPS"** that: 1. **Identifies where we've been** (significant historical lows) 2. **Determines where we are** (current position relative to the trend) 3. **Projects where we're going** (future trend with specific price levels) 4. **Provides alternative routes** (Fibonacci bands as alternative targets) This theoretical framework represents an innovative synthesis of time series analysis, approximation theory, and computational optimization, specifically designed for long-term financial trend analysis with robust and mathematically grounded projections.
Pine Script® インジケーター
didazの投稿
Capiba Directional Momentum Oscillator (ADX-based) 🇬🇧 English Summary The Capiba ADX is a momentum oscillator that transforms the classic ADX (Average Directional Index) into a much more intuitive visual tool. Instead of analyzing three separate lines (ADX, DI+, DI-), this indicator consolidates the strength and direction of the trend into a single histogram that oscillates around the zero line. The result is a clear and immediate reading of market sentiment, allowing traders to quickly identify who is in control—buyers or sellers—and with what intensity. How to Interpret and Use the Indicator The operation of the Capiba ADX is straightforward: Green Histogram (Above Zero): Indicates that buying pressure (DI+) is in control. The height of the bar represents the magnitude of the bullish momentum. Taller green bars suggest a stronger uptrend. Red Histogram (Below Zero): Indicates that selling pressure (DI-) is in control. The "depth" of the bar represents the magnitude of the bearish momentum. Lower (more negative) red bars suggest a stronger downtrend. Zero Line (White): This is the equilibrium point. Crossovers through the zero line signal a potential shift in trend control. Crossover Above: Buyers are taking control. Crossover Below: Sellers are taking control. Reference Levels (Momentum Strength) The indicator plots three fixed reference levels to help gauge the intensity of the move: 0 Line: Equilibrium. 100 Line: Signals significant directional momentum. When the histogram surpasses this level, the trend (whether bullish or bearish) is gaining considerable strength. 200 Line: Signals very strong directional momentum, or even potential exhaustion conditions. Moves that reach this level are powerful but may also precede a consolidation or reversal. Usage Strategy Trend Confirmation: Use the indicator to confirm the direction of your analysis. If you are looking for long positions, the Capiba ADX should ideally be green and, preferably, rising. Strength Identification: Watch for the histogram to cross the 100 and 200 levels to validate the strength of a breakout or an established trend. Entry/Exit Signals: A zero-line crossover can be used as a primary entry or exit signal, especially when confirmed by other technical analysis tools. Acknowledgements This indicator is the result of adapting knowledge and open-source codes shared by the vibrant TradingView community.
Pine Script® インジケーター
guilhermecapibaの投稿
Chaos Theory : public release What is Chaos Theory? Chaos theory is the study of complex systems that appear random but actually follow deterministic mathematical laws. Discovered by meteorologist Edward Lorenz in the 1960s, it revealed that seemingly chaotic behavior often hides precise mathematical patterns. Key Concepts: The Butterfly Effect The famous principle that tiny changes in initial conditions can lead to vastly different outcomes. In markets, this means a small price movement at a critical juncture can cascade into major trend changes. Named after Lorenz's discovery that a butterfly flapping its wings in Brazil could theoretically cause a tornado in Texas. Sensitive Dependence on Initial Conditions Chaotic systems are extremely sensitive to their starting state. While we cannot predict exact long-term outcomes, we can identify probability zones where the system is likely to evolve. This is why weather forecasts work for days, not months - and why our indicator predicts price destinations, not timing. Strange Attractors In chaos theory, systems tend to evolve toward certain states called attractors. Price doesn't move randomly - it's drawn toward these mathematical attractors that we identify as probability zones. Fractals and Self-Similarity Chaotic systems display similar patterns at different scales. This is why price charts look similar whether viewing 1-minute or daily timeframes - the same mathematical forces operate across all time scales. Deterministic Chaos The paradox at the heart of chaos theory: systems that are completely deterministic (following precise mathematical rules) can produce behavior that appears random. Markets aren't random - they're chaotic, which means they're predictable within probability bounds. Why This Matters for Trading Traditional technical analysis assumes markets are either random (efficient market hypothesis) or follow simple patterns (support/resistance). Chaos theory reveals a third truth: markets are complex dynamical systems that follow mathematical laws we can model and predict - not with certainty, but with probability. This is the foundation of our indicator: applying the same mathematics that predicts weather patterns and planetary orbits to identify where price is mathematically likely to travel next. 🌟 Welcome to the World of Chaos Theory We hope to provide our clients with a program that will define future points to which we believe price will expand to, based on a given probability % of one event occurring rather than another. In this case, the other event = price not expanding to our predicted area and reaching an invalidation state. This entire theory and the work done assumes that price behaves like a complex dynamical system that is highly sensitive to initial conditions. 🔮 Predictive vs. Reactive Systems Pay special attention to the language used. Our belief is that we can provide you a tool that is predictive, not reactive - the latter of which falls into the class of descriptive systems. Although the term of price action study is referred to as time-series forecasting, most if not all of the works done under this umbrella do not forecast anything. They only describe the current or recent past state of affairs using averages, volume, volatility, and other concepts. 📊 Understanding Probability-Based Prediction A predictive system conjured from the world of chaos theory is not a final solution to the mystery of price. In reality, we only can give you probabilities of where price may end up - this would be a point in space, not time, which we believe would be more likely than another, depending on the analysis of the initial conditions. To make the point of the last paragraph crystal clear: while we can tell you, with respect to the probabilities, where price will end up in terms of a price point, we don't know WHEN. That is another part of the mystery that perhaps only clairvoyance can hope to uncover. 📈 Performance Statistics For the question of what the probabilities are, meaning the success of the follow through of price, the answer is given in a stats panel, which measures the success of promises made by the indicator - that price would reach a certain point before being invalidated by moving too far in the opposing direction. It's not helpful to advertise or make false claims, therefore one should take advantage that we offer a free version, and using a pre-defined lookback window, confirm the probability calculations and determine the follow through rate with respect to the specific symbol and timeframe that the user decides to use. ⚠️ What This Is Not What this is not → Descriptive. We have zero interest in describing what price is doing. In fact, the entire industry of price forecasting is dedicated to this task, therefore you can rest assured that any coincidence with an RSI or any type of moving average etc. is simply that - coincidence. We do not use any known pre-made indicators or formulas. It has been our belief that price has an underlying mathematical pattern that can be predicted within probability bounds. If you read that carefully, we are predicting the pattern, not looking to find and describe some sort of underlying structure. 🧩 Understanding Market Complexity It should be understood that price is a complex system, even if our initial assessment of the conditions are correct. We have to remember that price is a fractal structure - there are always different initial conditions clashing, as well as forming. This is without taking into account the manipulation of the system, as well as external intervention in the natural progression of the system by news or other significant events. --- 📋 To Summarize: 🔬 1. Chaos Theory Application to Markets - Novel Concept: Treating price as a chaotic particle rather than random movement - What This Means: Chaotic systems have underlying mathematical patterns that can be predicted within probability bounds - Your Benefit: Access to predictive mathematics previously used only in physics and meteorology 🧮 2. Complex Systems Mathematics - Novel Concept: Applying non-linear dynamical systems theory to financial markets - What This Means: Markets behave like complex adaptive systems with emergent properties - Your Benefit: Understanding market behavior at a fundamental mathematical level 🎯 3. Probability Field Mapping - Novel Concept: Creating mathematical probability fields for future price locations - What This Means: Each zone represents a calculated probability destination, not arbitrary support/resistance - Your Benefit: Trade toward mathematically-derived targets instead of guessing --- 💡 Why This is Fundamentally Different from All Other Indicators 📉 Traditional Indicators: - Use historical price data to create lagging signals - Based on statistical averages and linear mathematics - Assume markets are random or follow simple patterns - React to what already happened 🚀 This Chaos Theory Approach: - Uses mathematical modeling to predict future probability zones - Based on non-linear complex systems mathematics - Treats markets as chaotic but predictable systems - Proactively identifies where price is likely to go No Curve Fitting: Unlike indicators optimized for specific timeframes or instruments, chaos theory principles are universal mathematical laws that apply consistently across all markets. --- 🎁 Concrete Benefits You Receive 💫 1. Predictive Intelligence - Know probable price destinations before they're reached - Eliminate guesswork in setting profit targets - Make informed decisions about trade direction 🎯 2. Mathematical Precision - Every zone placement has mathematical justification - No subjective interpretation required - Consistent application across all market conditions 🌍 3. Universal Market Application - Works identically on forex, stocks, crypto, commodities - No need to adjust parameters for different instruments - Mathematical principles transcend market types 🏆 4. Professional-Grade Analysis - Access to institutional-level mathematical modeling - Same complexity as quantitative hedge fund systems - Simplified visual output for practical trading ✅ 5. Real-Time Performance Validation - Built-in statistics track actual prediction accuracy - Transparent performance measurement - Data-driven confidence in signal quality 🛡️ 6. Risk Management Precision - Mathematically-defined probable targets of desired and undesired price locations - Systematic approach eliminates emotional decisions ⏱️ 7. Multi-Timeframe Consistency - Zones maintain mathematical validity across timeframes - Higher timeframe bias with lower timeframe precision - Coherent analysis from scalping to position trading --- 🌟 Novel Trading Advantages Probability-Based Targeting: Instead of hoping price reaches your target, you're trading toward mathematically-calculated probability zones. Chaos Pattern Recognition: Probability-based predictions of the underlying chaotic patterns that govern price movement gives you an edge other traders don't possess. Dynamic Adaptation: Unlike static indicators, this system continuously recalculates based on evolving market mathematics. --- 🔄 Why This Represents a Trading Evolution From Reactive to Predictive: Traditional analysis tells you what happened. Chaos theory mathematics tells you what's likely to happen. From Subjective to Objective: No more debating support and resistance levels. Mathematics determines probable price destinations. From Curve-Fitted to Universal: Based on fundamental mathematical principles that work consistently across all markets and timeframes. From Emotional to Systematic: Clear mathematical signals eliminate the psychological challenges that destroy most traders. This indicator doesn't just give you another way to analyze markets - it gives you access to an entirely different mathematical framework for understanding price behavior. You're not getting a variation of existing concepts; you're getting a completely novel approach based on advanced mathematical principles that treat markets as the complex systems they actually are. --- 📚 How to Use the Indicator 🎨 Zone Mechanics • Orange Zones: Target areas for price expansion • Activation Trigger: Price must close outside any zone (full candle body, not just wicks) • Primary Rule: Price travels to the next zone before closing back behind the originating zone border 🔴 Understanding the Red Dots • Red dots on chart: Represent areas where we had valid zone sets available for trading • Empty spaces indicate: Areas where price closed past the highest/lowest zone or where zone invalidation occurred • Important note: We cannot always identify zones. Simply wait or switch timeframe/symbol
Pine Script® インジケーター
jacesabr_realの投稿
EMA Sunset WavesThis script displays a set of Exponential Moving Averages (EMAs) (20, 50, 100, and 200) with a clean and immersive design: Lines automatically change color based on trend direction (uptrend or downtrend). Dynamic fill zones highlight whether the price is trading above or below each EMA. Full color customization (bullish/bearish lines, fill zones, transparency). Adjustable line thickness for better chart readability. 🎨 The idea is to make trend reading visual, intuitive, and aesthetic at first glance. ⚙️ Configurable settings: EMA lengths (default 20/50/100/200). Colors for bullish and bearish EMAs. Fill colors (above/below price). Transparency and line thickness.
Pine Script® インジケーター
antoine2112の投稿
KhoiHV - Bollinger Bands Buy/Sell Area ProBollinger Bands Buy/Sell Area Pro is a professional-grade indicator designed to identify potential trading opportunities based on Bollinger Bands. It highlights dynamic buy and sell areas by combining price action with volatility, helping traders quickly visualize market conditions. ✨ Key Features Automatically plots upper, middle, and lower Bollinger Bands. Marks Buy Areas when price enters oversold zones near the lower band. Marks Sell Areas when price enters overbought zones near the upper band. Configurable inputs for length, source, and multiplier to fit any trading style. Easy-to-read chart visuals with colored zones for instant recognition. 💡 How to Use Look for Buy Areas near the lower band in trending markets to catch potential rebounds. Watch for Sell Areas near the upper band to anticipate possible pullbacks. Combine with volume, momentum, or trend indicators for stronger confirmation. This tool is especially useful for traders who want a clear, visual edge in spotting volatility-based entries and exits without constantly recalculating signals.
Pine Script® インジケーター
KhoiHVの投稿
1
RS Power Scanner by MashrabThis script implements a custom IBD-style Relative Strength (RS) rating and RS line breakout scanner for any symbol versus SPY. It is designed to help traders quickly identify stocks with market-leading performance. How It Works: RS Rating (0–100 scale) Calculates 252-bar Rate of Change (ROC) for the stock and SPY. Compares stock ROC to SPY’s ROC. Uses ta.percentrank() to convert the result into a percentile ranking (0–100). A high RS rating means the stock has outperformed SPY over the past 252 bars. RS Line New Highs Plots the RS line = (Stock Close ÷ SPY Close). Checks for a 50-bar highest value — a classic sign of market leadership. Signal Logic Plots a green ▲ label below bars when: RS Rating ≥ 85 (strong relative performance) RS line makes a 50-bar high (confirming strength) Table Display Shows live RS Rating and RS new high status for quick decision-making. Use Case: This tool is designed for traders using momentum, CAN SLIM, or relative strength strategies to spot potential leaders early. It is not a standalone buy/sell system; rather, it helps filter stocks for further analysis. How to Use: Apply to your watchlist charts. Look for ▲ signals during market uptrends. Combine with fundamental or volume analysis for best results.
Pine Script® インジケーター
highstandart9の投稿
Bollinger Bands x SamrtBlackGirlBollinger Bands — Volatility & Breakout Zones This Bollinger Bands tool dynamically adapts to market volatility, giving traders a visual framework for spotting overbought/oversold conditions, squeezes, and breakout opportunities. Key Features Dynamic Volatility Channels – Upper and lower bands expand during high volatility and contract during quiet periods. Mean Reversion & Trend Trading – Price touching or piercing the bands can signal potential reversals or strong trend continuation. Squeeze Detection – Narrowing bands indicate compression, often preceding explosive moves. Fully Customizable – Adjust period, standard deviation, and colors to match your strategy. Multi-Timeframe Friendly – Works on any chart, from scalping to swing trading. How to Use Squeeze Plays – Watch for band tightening; breakouts often follow. Reversal Signals – Extreme touches combined with candlestick rejection may indicate turning points. Trend Riding – Price “walking the band” can confirm strong momentum. This indicator is ideal for traders who want a clear visual of volatility shifts, helping to anticipate when markets are likely to break out or revert to the mean.
Pine Script® インジケーター
SmartBlackGirlの投稿
Trading bot gridsGuide: Price Lines – Arithmetic vs. Geometric This script draws horizontal price lines (grids) between a start price and an end price. You can choose whether the lines are distributed evenly (arithmetic) or by percentage (geometric). 🔧 Inputs Start Price → Lower or upper boundary of the price range. End Price → Opposite boundary of the price range. Number of Lines → Total number of lines to be drawn between the start and end prices. Distribution → Arithmetic: Fixed USDT distance between each line. Geometric: Fixed percentage distance between each line. Grid Color → Color of the drawn lines. 📈 How it Works The script calculates the lower (lo) and upper (hi) boundaries, regardless of which is entered first. Arithmetic distribution: Each line is spaced by a fixed amount in USDT. Geometric distribution: Each line is spaced by the same percentage difference from the previous one. Lines are created only once at the first bar and remain on the chart. All lines are extended across the entire visible chart. 💡 Tips Useful for Grid Bot backtesting or visualizing price zones. Works for both long and short price ranges. In geometric mode, lines appear closer together near the lower price range and farther apart toward the upper range.
Pine Script® インジケーター
Odin7の投稿
Liquidity Sweep Scanner [TradingFinder]🔵 Introduction Recognizing how liquidity develops and how price reacts at key structural levels is critical for spotting precise, low-risk trade entries. The Liquidity Sweep Scanner is an advanced tool built to track market activity in real time, pinpoint liquidity sweeps, define reaction zones, and identify confirmation candles across multiple instruments and timeframes. Key Advantages : Detects high-probability reversal points with precision. Combines liquidity analysis, market structure, and candle confirmation. Works seamlessly across multiple symbols and timeframes. This screener can scan a broad watchlist or analyze every timeframe of a single asset to find optimal reversal zones. It starts by identifying a clear swing point either a swing high or swing low and marking a reaction zone between that point and the candle’s highest or lowest open/close value. If price revisits the zone, performs a liquidity grab, and forms an indecision candle such as a doji or narrow-bodied bar that closes inside the zone, this may indicate rejection of the level and a failed breakout attempt. Based on the surrounding market context, the screener then flags a potential bullish or bearish reversal and generates the appropriate Long or Short signal. By focusing on precise entry timing, institutional order flow alignment, and filtering out false breakouts, the Liquidity Sweep Scanner zeroes in on the market areas where liquidity engineering, reversal potential, and inefficiency overlap. This makes it an indispensable tool for price action traders who rely on clear, high-quality setups without the distraction of market noise. 🔵 How to Use The Liquidity Sweep Scanner continuously evaluates market structure, issuing alerts when a potential reversal setup emerges. It merges liquidity behavior, swing point analysis, and candle confirmation within predefined reaction zones. To illustrate, imagine price forms a swing high or low, then later returns to that level. If it sweeps the prior extreme and produces a qualifying candle inside the reaction zone, the tool signals a possible reversal. 🟣 Long Setup For a bullish scenario, the screener first spots a valid swing low a level often packed with sell-side liquidity. From there, it defines a reaction zone stretching from the swing low to the candle’s lowest open/close point. If price retests this area with a wick dipping below the swing low but then closes back inside the zone, it signals absorption of selling pressure and rejection of further downside. The screener then awaits a confirmation candle commonly a doji or small-bodied bar closing inside the zone. Once these conditions align, a Long signal is logged and, if alerts are active, the trader receives a notification. 🟣 Short Setup For bearish opportunities, the process begins by locating a valid swing high typically an area dense with buy-side liquidity. The reaction zone is drawn from the swing high to the candle’s highest open/close value. When price retests this zone, sweeps above the swing high, and fails to close higher, it suggests a bull trap and waning upward momentum. The screener then requires a confirmation candle often a doji or rejection bar that closes back within the zone before confirming a Short signal. These bearish setups help traders pinpoint likely institutional sell zones, offering a clear view of where price may reverse following a liquidity event. 🔵 Settings 🟣 Logical settings Liquidity Swing period : You can set the swing detection period. Market Structure Period :You can set the Pivot Period to determine the detection direction. Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine. Max Swing Back : You can set the number of swings that will go back for checking. Maximum Distance Between Swing and Signal : The maximum number of candles allowed between the swing point and the potential signal. The default value is 50, ensuring that only recent and relevant price reactions are considered valid. 🟣 Display Settings Table on Chart : Allows users to choose the position of the signal dashboard either directly on the chart or below it, depending on their layout preference. Number of Symbols : Enables users to control how many symbols are displayed in the screener table, from 10 to 20, adjustable in increments of 2 symbols for flexible screening depth. Table Mode : This setting offers two layout styles for the signal table : Basic : Mode displays symbols in a single column, using more vertical space. Extended : Mode arranges symbols in pairs side-by-side, optimizing screen space with a more compact view. Table Size : Lets you adjust the table’s visual size with options such as: auto, tiny, small, normal, large, huge. Table Position : Sets the screen location of the table. Choose from 9 possible positions, combining vertical (top, middle, bottom) and horizontal (left, center, right) alignments. 🟣 Symbol Settings Each of the 10 symbol slots comes with a full set of customizable parameters : Symbol : Define or select the asset (e.g., XAUUSD, BTCUSD, EURUSD, etc.). Timeframe : Set your desired timeframe for each symbol (e.g., 15, 60, 240, 1D). 🟣 Alert Settings Alert : Enables alerts for LSS. Message Frequency : Determines the frequency of alerts. Options include 'All' (every function call), 'Once Per Bar' (first call within the bar), and 'Once Per Bar Close' (final script execution of the real-time bar). Default is 'Once per Bar'. Show Alert Time by Time Zone : Configures the time zone for alert messages. Default is 'UTC'. 🔵 Conclusion The Liquidity Sweep Scanner equips traders with a precise, structured method for spotting high-probability reversals by merging liquidity sweeps, reaction zone mapping, and candle confirmation. It not only filters out market noise but also highlights price areas where inefficiency and reversal potential align. Beyond identifying clean entry points, the tool includes a market direction detection feature allowing traders to quickly determine the prevailing trend and align their trades accordingly. With adjustable settings such as the Pivot Period for fine-tuning detection direction, it adapts to various trading styles and timeframes, making it a powerful and versatile addition to any trader’s strategy.
Pine Script® インジケーター
TFlabの投稿
18
zSph x Larry Waves Wave Zone ForecastElliott Waves and Fibonacci Ratio Lengths have a strong correlated relationship when observing the general strength and termination of both Impulse (Motive) Waves and Corrective Waves. There are certain Fibonacci levels that are highly reactive when applying it from a Wave Analysis perspective and being aware of the current wave sequence is required. Often, those beginning their Elliott Wave journey and studies are unsure what Fibonacci levels are relevant and how to apply it to the wave structure that is being observed – this tool removes that ambiguity on placement. Being aware of the predisposed levels that have a high rate of reaction can assist in managing trades from a scalp intra-day approach, a day trading approach, and a swing trading approach. # Concept This tool helps with identifying zones that are relevant to the wave that is currently in progression upon the market and visualize important Fibonacci levels where reactions often occur from an Elliott Wave perspective such as: Wave 2 Wave 3 Wave 4 Wave 5 Wave B Zigzag Wave B Flat Wave X Zigzag Wave X Flat Wave C Wave Y This helps remove almost all the manual labor of updating fib levels, selecting certain fib levels, and manually moving the fib levels as price continues to print while autonomously providing the levels visually. # Correct Usage Wave 3 / Wave C / Wave Y Once a clear impulse/motive structure has been identified for a Wave 1, Wave A or Wave W, apply the indicator to the structure. Anchor 1 is the beginning of the impulse for Wave 1 or A or W. Anchor 2 is the end of the impulse for Wave 1 or A or W. The result is the standard zones for Wave 3, Wave C and Wave Y. BINANCE:LINKUSD Wave 4 Once a clear impulse/motive structure has been identified for Wave 3, apply the indicator to the structure. Anchor 1 is the beginning of Wave 3 (or the end of Wave 2) Anchor 2 is the end of Wave 3 (or the beginning of Wave 4) The result is the standard zone for Wave 4. LINKUSD Wave B / Wave X / Wave C / Wave Y Once a clear 3-wave corrective has been identified for a potential Corrective pattern, apply the indicator to the structure. - Anchor 1 is the end of beginning of Wave A or Wave W - Anchor 2 is the end of Wave A or Wave W The result is the standard zones Waves B / X and Waves C / Y for Zigzags, Flats and Combos. BINANCE:LINKUSD # Settings "Show Labels" will toggle on and off the labels for each fib zone, each fib line, and invalidation ticks that are in the 2/3 – B/C option to help with calculating risk management quickly. "Use Log Scale" will allow you to toggle on/off the log scale for log fibs "Extend Lines" will allow you to extend the fib lines to current price action from the Elliott Wave Zones to see reactions off the fib levels. “Extend Zones” will allow you to extend the overall zone for the fibs to current price action from the Elliott Wave Zones to see reactions off the zone. There is also user customization of color use for the zones/. “Fib Levels” will allow you to customize the lines and colors of the fibs lines. “X-Axis Offset” will increase or decrease the position of the fibs of the zones (not the extension boxes)..
Pine Script® インジケーター
zSph_の投稿
SD Bands Filtered Signals### SD Bands Filtered Signals: Reversion & Volatility Scanner **Core Description:** The SD Bands Filtered Signals is a tool developed to help traders identify more accurate buy and sell signals in sideways markets, or during periods of low price movement. It utilizes the principles of Standard Deviation (SD) and a Moving Average (MA), with a unique 'signal filtering' system added to reduce unnecessary noise. **Key Features:** * **SD Bands:** Creates upper and lower bands to define price volatility zones, providing a clear overview of market conditions. * **Intelligent Reversal Signals:** Generates specially filtered Buy/Sell signals for a 'Reversion to the Mean' strategy. These signals appear only when the market has low volatility and the price touches the SD Bands. * **Advanced Signal Filtering System:** Uses a **`Cooldown Bars`** variable to set a rest period between signals. This prevents repetitive arrows in the same zone, helping you find the best signal at the most suitable point. * **Fully Customizable:** You can adjust the **`Length`**, **`Multiplier`**, **`Sideways Threshold`**, and **`Cooldown Bars`** to fit your trading style and asset of choice. **How to Use:** * **Buy Signal (Green Arrow Up):** Look for this signal when the market is sideways and the price moves down to touch the lower band (SD Low). * **Sell Signal (Red Arrow Down):** Look for this signal when the market is sideways and the price moves up to touch the upper band (SD High). * **Customization:** You can adjust the **`Cooldown Bars`** value to control the number of arrows. If you want more accurate but fewer signals, increase this value. **Disclaimer:** * This indicator is an **analytical tool only** and is not a 100% guarantee of profit. * It should be used in conjunction with other forms of analysis, such as candlestick patterns, trading volume, and proper risk management. ไทย ชื่ออินดิเคเตอร์ "SD Bands Filtered Signals: Reversion & Volatility Scanner" คำอธิบายหลัก: อินดิเคเตอร์ SD Bands Filtered Signals เป็นเครื่องมือที่ถูกพัฒนาขึ้นเพื่อช่วยให้นักเทรดสามารถระบุสัญญาณซื้อ (Buy) และขาย (Sell) ที่แม่นยำขึ้นในตลาดแบบ Sideways หรือช่วงที่ราคาเคลื่อนที่ในกรอบแคบๆ โดยใช้หลักการของ Standard Deviation (SD) และ Moving Average (MA) และเพิ่มระบบ 'กรองสัญญาณ' ที่เป็นเอกลักษณ์เพื่อลดสัญญาณรบกวน (Noise) ที่ไม่จำเป็นออกไป คุณสมบัติเด่น: * SD Bands: สร้างเส้นขอบบนและล่างเพื่อระบุโซนความผันผวนของราคา ทำให้เห็นภาพรวมของตลาดได้ง่าย * สัญญาณ Reversal อัจฉริยะ: สร้างสัญญาณ Buy/Sell ที่ถูกคัดกรองมาเป็นพิเศษสำหรับกลยุทธ์การกลับตัว (Reversion to the Mean) โดยจะปรากฏเฉพาะเมื่อตลาดมีความผันผวนต่ำและราคาแตะขอบของ SD Bands * ระบบกรองสัญญาณขั้นสูง: ใช้ตัวแปร Cooldown Bars เพื่อกำหนดระยะเวลาพักสัญญาณ ทำให้ไม่เกิดลูกศรซ้ำๆ ในโซนเดียวกัน และช่วยให้คุณได้สัญญาณที่ดีที่สุดในจุดที่เหมาะสมที่สุด * ปรับแต่งได้เต็มที่: คุณสามารถปรับค่า Length, Multiplier, Sideways Threshold และ Cooldown Bars เพื่อให้เข้ากับสไตล์การเทรดและคู่สินทรัพย์ที่คุณสนใจ วิธีการใช้งาน: * สัญญาณ Buy (ลูกศรสีเขียวขึ้น): มองหาสัญญาณนี้เมื่อตลาดอยู่ในช่วง Sideways และราคาวิ่งลงมาแตะเส้นขอบล่าง (SD Low) * สัญญาณ Sell (ลูกศรสีแดงลง): มองหาสัญญาณนี้เมื่อตลาดอยู่ในช่วง Sideways และราคาวิ่งขึ้นไปแตะเส้นขอบบน (SD High) * การปรับแต่ง: คุณสามารถปรับค่า Cooldown Bars เพื่อให้ได้จำนวนลูกศรที่ต้องการ หากต้องการสัญญาณที่แม่นยำขึ้นแต่จำนวนน้อยลง ให้เพิ่มค่านี้ให้สูงขึ้น ข้อควรระวัง: * อินดิเคเตอร์นี้เป็นเพียงเครื่องมือวิเคราะห์ ไม่ใช่สัญญาณที่การันตีผลกำไร 100% * ควรใช้ประกอบกับการวิเคราะห์อื่นๆ เช่น รูปแบบแท่งเทียน, ปริมาณการซื้อขาย (Volume) และการจัดการความเสี่ยงที่เหมาะสม
Pine Script® インジケーター
Mr-7TRILLの投稿
Fundur - Market Sentiment A Fundur - Market Sentiment A: Complete Trading Indicator Guide Indicator Overview The Fundur - Market Sentiment A is a revolutionary multi-timeframe sentiment analysis indicator that combines advanced ZigZag pivot detection, wave-based structure analysis, and comprehensive market sentiment evaluation into one powerful trading tool. This indicator is designed to identify high-probability reversal points and trend continuations by analyzing market sentiment across 11 different timeframes simultaneously. What Makes Market Sentiment A Unique? Market Sentiment A is a sophisticated ZigZag system that utilizes the Market Sentiment B oscillator to perform advanced on-chart analysis against price action. By introducing Histogram-Correlated ZigZag Analysis - a breakthrough methodology that correlates sentiment histogram waves with actual price pivots to identify validated market extremes. Unlike static pivot indicators, Market Sentiment A provides dynamic analysis that adapts to changing market conditions while maintaining precise accuracy in pivot identification. Core Methodology The indicator operates on the principle that market sentiment oscillates in measurable waves that precede price movements. By analyzing sentiment patterns across multiple timeframes and correlating them with histogram wave behavior, traders can identify precise entry and exit points with quantifiable strength ratings and comprehensive wave event analysis. Key Features 🎯 Revolutionary ZigZag System Histogram-Correlated Detection : Unique correlation between sentiment waves and price pivots Dynamic Speed Control : High, Medium, Low sensitivity settings for different market conditions Validated Extremes : Only confirmed pivots are marked with comprehensive validation system Real-Time Correlation : Live correlation between histogram turns and price extremes 📊 Multi-Timeframe Sentiment Engine 11 Timeframe Analysis : Simultaneous analysis across periods from 8 to 987 bars Advanced Sentiment Calculation : Proprietary algorithm combining multiple sentiment factors Momentum Wave Integration : 34-period momentum waves for trend context Dynamic Smoothing : Optional smoothing for cleaner signals 🧠 Intelligent Wave Event Tracking Green Wave Events : Bullish histogram wave analysis with comprehensive event detection Red Wave Events : Bearish histogram wave analysis with detailed event tracking Event Deduplication : Advanced system prevents duplicate event detection 10+ Event Types : MPIV, HTURN, TRI, SW, VOL, MDIV, HDIV, PDIV and more ⚖️ Advanced Strength Rating System 0-100 Strength Score : Comprehensive strength calculation for every pivot Multi-Factor Analysis : Based on wave events, trend context, structure, and sentiment Real-Time Calculation : Dynamic strength scoring as conditions change Strength Breakdown : Detailed tooltip showing strength components 🎨 Sophisticated Visual System Validated Pivot Labels : Clear ✓ markers for confirmed extremes Structure Analysis : HH/HL/LH/LL structure identification with trend context Dynamic ZigZag Lines : Connecting validated extremes with trend-based coloring Bar Coloring Options : Momentum swings and market sentiment bar coloring Comprehensive Tooltips : Detailed information on hover for every pivot Setup Guide Step 1: Adding the Indicator Open TradingView and navigate to your desired chart Click the "Indicators" button or press "/" key Search for "Fundur - Market Sentiment A" Add the indicator to your chart Step 2: Core System Configuration ZigZag System Settings ✅ Enable ZigZag System: ON (Core functionality) ZigZag Speed : Choose based on your trading style: High Speed : Most sensitive, fastest detection (2-bar lookback) - Best for scalping Medium Speed : Balanced approach (3-bar lookback) - Recommended for most traders Low Speed : Most reliable, slower detection (4-bar lookback) - Best for swing trading ✅ Show ZigZag Lines: ON (Visual connection of validated pivots) Bar Coloring Settings ⚠️ Momentum Swings: OFF (Avoid visual clutter initially) ✅ Market Sentiment: ON (Primary sentiment-based bar coloring) Step 3: Label Display Configuration Essential Labels (Recommended Settings) ✅ Show Validated Pivots (✓): ON (Core validated extremes) ⚠️ Show Potential Turns (●): OFF (Reduces noise - enable once familiar) ⚠️ Show Structure Labels: OFF (Start clean, enable for advanced analysis) ⚠️ Include Trend in Structure Labels: OFF (Advanced feature) ✅ Show Strength Rating (💪): ON (Critical for trade quality assessment) ⚠️ Show Market Sentiment Wave Events: OFF (Advanced feature for later) Label Visual Customization Label Coloring : Standard (Highs=Red, Lows=Green) Label Size : Normal Label Transparency : 0% Text Transparency : 0% Step 4: Alert System Setup ✅ Enable Alerts: ON ⚠️ Alert Potential Bullish Turns: OFF (Disabled by design to prevent noise) ⚠️ Alert Potential Bearish Turns: OFF (Disabled by design to prevent noise) ✅ Alert ONLY on Confirmed Extremes: ON (High-quality signals only) ✅ Include Wave Events in Confirmed Alerts: ON (Comprehensive context) Basic Trading Guide Understanding the Dynamic ZigZag System Market Sentiment A is fundamentally a Dynamic ZigZag System that displays validated highs and lows on your price chart. The indicator uses Market Sentiment B wave calculations internally to determine when sentiment waves finish, but these histograms and oscillators are NOT displayed on your chart . What You See on Your Chart: ✓ Validated Highs : Red checkmarks marking confirmed resistance levels ✓ Validated Lows : Green checkmarks marking confirmed support levels ZigZag Lines : Connecting validated extremes to show market structure 💪 Strength Ratings : 0-100 scores indicating signal quality Structure Labels : HH/HL/LH/LL showing trend context How Validation Works (Behind the Scenes): High Validation : Uses Market Sentiment B wave analysis to confirm when a price high represents a true resistance level Low Validation : Uses Market Sentiment B wave analysis to confirm when a price low represents a true support level Dynamic Detection : Continuously monitors sentiment waves to validate extremes in real-time Quality Filtering : Only displays the most significant highs and lows based on wave completion Key Trading Concept: Focus entirely on the validated highs and lows displayed on your chart. These represent dynamic support and resistance levels that have been confirmed by underlying sentiment analysis. The histogram and oscillator calculations happen internally - your trading decisions should be based on price action around these validated levels. Entry Strategies Primary Strategy: Dynamic Support/Resistance Reversals Setup : Wait for validated pivot with ✓ marker and strength rating displayed on chart Entry Timing : Enter on the bar when validation occurs or on pullback to the validated level Direction : Counter-trend to the validated extreme (buy at validated lows/support, sell at validated highs/resistance) Confirmation : Look for strength rating above 60 for higher probability setups Structure Context : Consider overall trend using HH/HL/LH/LL structure labels Secondary Strategy: ZigZag Trend Continuation Setup : Identify trend direction using consecutive validated highs and lows Entry : Enter in trend direction when price pulls back to previous validated level Confirmation : Look for structure labels confirming trend (HH/HL for uptrend, LH/LL for downtrend) Strength Filter : Use strength ratings above 70 for trend continuation entries Stop Loss Methodology For Long Positions (Validated Lows) : Place stop below the validated low price level For Short Positions (Validated Highs) : Place stop above the validated high price level Alternative Method : Use previous validated extreme in opposite direction as stop level Structure-Based Method : Use significant validated levels that would invalidate the trade setup Buffer Consideration : Add small buffer beyond validated level to account for wicks and spread Profit Taking Strategy For Long Positions (Validated Low Entries): Target 1 : Previous validated high shown on chart (75% of position) Target 2 : Next significant validated high or key resistance level (50% of remaining 25% = 12.5% of original position) Target 3 : Extended targets using ZigZag structure analysis and trend context (remaining 12.5% of original position) Management : Move stop loss to breakeven once first target (TP1) is executed For Short Positions (Validated High Entries): Target 1 : Previous validated low shown on chart (75% of position) Target 2 : Next significant validated low or key support level (50% of remaining 25% = 12.5% of original position) Target 3 : Extended targets using ZigZag structure analysis and trend context (remaining 12.5% of original position) Management : Move stop loss to breakeven once first target (TP1) is executed ZigZag Structure Trading Approach Sideways Markets : Trade between validated highs and lows - buy at support, sell at resistance Trending Markets : Use validated levels as pullback entry points in trend direction Structure Breaks : Watch for breaks of significant validated levels to signal trend changes Range Identification : Use consecutive validated highs and lows to identify trading ranges Breakout Trading : Enter when price breaks beyond validated levels with strong momentum Strength Rating Interpretation Understanding the 0-100 Strength Score The strength rating combines multiple factors: Base Strength (25 points) : Fundamental pivot validation Wave Events (12 points each) : Number and quality of wave events detected Trend Context (5-10 points) : Alignment with overall trend direction Structure Quality (3-8 points) : HH/HL/LH/LL structure strength Sentiment Position (5-10 points) : Extreme sentiment readings Momentum Context (5 points) : Momentum divergence confirmation Strength Categories 90-100 : Exceptional strength - Highest probability setups 75-89 : Strong signal - High confidence trades 60-74 : Good signal - Solid trading opportunities 45-59 : Moderate signal - Use additional confirmation 30-44 : Weak signal - Proceed with caution Below 30 : Very weak - Generally avoid Wave Event Reference (Calculation Background) Understanding Wave Events in Strength Calculations Wave events are used internally by Market Sentiment A to calculate strength ratings and validate pivots. While these events may appear in alert messages or tooltips, they are not meant for direct trading decisions - they are calculation components that contribute to the overall strength score. Key Wave Events (For Reference Only) MPIV↑/MPIV↓ : Momentum pivot detection used in validation process HTURN : Histogram turn identification used for wave completion TRI↑/TRI↓ : Triangle pattern detection contributing to strength calculation SW : Small wave indication affecting pivot quality assessment VOL : Volume spike detection adding to strength scoring MDIV↑/MDIV↓ : Momentum divergence contributing to validation strength HDIV↑/HDIV↓ : Histogram divergence used in pivot confirmation PDIV↑/PDIV↓ : Price divergence analysis for strength enhancement How Wave Events Affect Your Trading Strength Score Impact : More events generally result in higher strength ratings for validated pivots Alert Context : Events may be mentioned in alerts to provide background on signal quality Focus on Results : Instead of analyzing individual events, focus on the final strength rating and validated pivot levels Trust the System : The indicator processes these events automatically - your job is to trade the validated highs and lows Analysis Setups Setup 1: Scalping Configuration (1-5 minute charts) Core Settings: ZigZag Speed: High (fastest detection for quick scalps) Show Validated Pivots: ON Show Strength Rating: ON Bar Coloring: Market Sentiment Visual Settings: Label Size: Small (reduce visual clutter) ZigZag Lines: ON Potential Turns: ON (for immediate signals) Trading Approach: Focus on strength ratings above 70 for scalp entries Quick entries at validated highs/lows with immediate execution Tight stops just beyond validated levels Target previous validated pivots shown on chart for quick profits Use ZigZag structure to identify rapid reversal opportunities Setup 2: Day Trading Configuration (5-15 minute charts) Core Settings: ZigZag Speed: Medium (balanced approach) Show Validated Pivots: ON Show Strength Rating: ON Include Wave Events: ON (for context) Visual Settings: Label Size: Normal Show Structure Labels: ON (for trend context) ZigZag Lines: ON with trend coloring Trading Approach: Wait for strength ratings above 60 for quality setups Use HH/HL/LH/LL structure labels for trend bias Combine reversal trades at extremes with trend continuation at pullbacks Hold positions targeting next validated pivot levels Use ZigZag structure analysis for entry timing and market context Setup 3: Swing Trading Configuration (1-4 hour charts) Core Settings: ZigZag Speed: Low (most reliable signals) Show Validated Pivots: ON Show Structure Labels: ON Include Trend Analysis: ON Visual Settings: Label Size: Normal Show all wave events for comprehensive analysis Enable all alert types Trading Approach: Focus on strength ratings above 75 for swing positions Emphasize trend continuation using ZigZag structure Use validated level breaks for major position adjustments Hold positions across multiple sessions targeting distant validated levels Use comprehensive structure analysis (HH/HL/LH/LL) for entries/exits Setup 4: Position Trading Configuration (4H-Daily charts) Core Settings: ZigZag Speed: Low (maximum reliability) Show Validated Pivots: ON Show Structure Labels: ON Show all analysis features Visual Settings: Clean, comprehensive labeling Full wave event display Trend-based coloring for major bias Trading Approach: Only trade strength ratings above 80 for position entries Focus on major ZigZag structure changes and validated level breaks Use long-term structure analysis (HH/HL/LH/LL) for bias Hold positions for weeks to months targeting major validated levels Align with fundamental analysis and major market structure Setup 5: Multi-Asset Analysis Configuration For Forex Pairs: Use Medium to Low speed settings Focus on major session changes Pay attention to news event correlation Use strength ratings above 70 For Crypto Assets: Medium speed for 24/7 market adaptation Higher volatility requires strength above 75 Monitor weekend behavior patterns Consider market sentiment cycles For Stock Markets: Align with market hours Consider earnings and economic events Use sector-specific analysis Respect market close/open dynamics Visual Components Core Visual Elements ✓ Validated Pivots : Green checkmarks for confirmed lows, red for confirmed highs ● Potential Turns : Small dots showing histogram turn correlations (optional) ZigZag Lines : Connecting validated extremes with trend-based coloring 💪 Strength Ratings : Numerical strength scores from 0-100 Structure Labels : HH/HL/LH/LL with trend context (optional) Bar Coloring System Market Sentiment Coloring : Based on sentiment oscillator position and momentum Extreme Conditions : Special coloring for extreme overbought/oversold conditions Momentum Swing Coloring : Alternative coloring based on momentum analysis Advanced Visual Features Wave Event Labels : Comprehensive event display within pivot labels Trend Context : Dynamic trend identification and display Strength Breakdown : Detailed tooltips showing strength components Custom Coloring Modes : Standard vs trend-based coloring options Alert System Core Alert Types Validated High Confirmed : When red wave validates ultimate high with full context Validated Low Confirmed : When green wave validates ultimate low with full context Trend Change Detected : When structure analysis detects trend shifts Alert Message Structure Each alert includes: Timeframe identification Signal type (BULLISH/BEARISH) Structure context (HH/HL/LH/LL) Strength score with 💪 rating Exact price level Wave events context (if enabled) Setting Up Alerts Enable desired alert types in indicator settings Focus on "Confirmed Extremes" alerts for quality Enable wave events for comprehensive context Test alerts on historical data first Set up multiple notification methods Risk Management Framework Strength-Based Position Sizing Strength 90-100 : Maximum position size (3-5% risk) Strength 75-89 : Large position size (2-3% risk) Strength 60-74 : Standard position size (1-2% risk) Strength 45-59 : Small position size (0.5-1% risk) Below 45 : Avoid or minimal size (0.25% risk maximum) Stop Loss Guidelines Primary Method : Always use validated pivot levels for stops Buffer Method : Add small buffer beyond validation level Multiple Timeframe : Consider higher timeframe validated levels Wave Event Context : Adjust stops based on event confluence Risk-Reward Optimization Minimum R:R : 1.5:1 for all trades Preferred R:R : 2:1 or better for strength above 70 Exceptional Setups : 3:1+ for strength above 85 Position Management : Take 75% at TP1, 50% of remaining at TP2, close remaining at TP3 Stop Management : Move stop to breakeven after TP1 execution Best Practices Signal Quality Assessment Always wait for validated pivots with ✓ checkmarks displayed on chart Prioritize strength ratings above 60 for trade quality Focus on the validated high/low levels rather than underlying calculations Consider HH/HL/LH/LL structure labels for directional bias Use ZigZag line connections to understand market structure flow Entry Timing Optimization Enter on validation bar or immediate pullback to validated level Use lower timeframes for precise entry refinement around validated levels Wait for strength score calculation completion before entry Monitor price action around validated highs and lows Consider multiple timeframe validated level alignment Exit Strategy Management Use opposite validated pivots displayed on chart as primary targets Execute Fundur 3-stage exit: 75% at TP1, 12.5% at TP2, 12.5% at TP3 Move stop loss to breakeven immediately after TP1 execution Monitor strength ratings of new validated levels that could reverse remaining position Watch for structure changes (trend breaks) via HH/HL/LH/LL labels for early exit consideration Common Mistakes to Avoid Signal Interpretation Errors Don't trade potential turns without ✓ validation markers Never ignore strength ratings below 45 - they indicate weak signals Don't chase signals after significant movement away from validated levels Avoid overriding clear ZigZag structure and trend context Don't ignore the relationship between consecutive validated highs and lows Risk Management Failures Never risk more than the strength score suggests for position sizing Don't move stops against validated levels - they represent key structure Avoid oversizing on "sure thing" setups - even high-strength signals can fail Don't ignore multiple timeframe validated level context Never trade without clear invalidation levels (validated highs/lows for stops) System Usage Mistakes Don't enable all features immediately - start simple Avoid changing speed settings mid-session Don't ignore alert system capabilities Never disable core validation features Don't overlook customization for your chart setup Advanced Techniques Multi-Timeframe ZigZag Analysis Use higher timeframe validated levels for major bias and targets Align lower timeframe entries with higher timeframe validated structure Look for validated level confluence across timeframes Monitor strength rating consistency of validated levels across periods Advanced Structure Pattern Recognition Identify recurring validated level patterns and their outcomes Recognize high-probability ZigZag structure sequences Use historical validated level patterns for target projection Combine ZigZag analysis with other Fundur technical analysis tools Advanced Alert Utilization Create custom alert combinations based on strength thresholds Use validated level break alerts for position management Combine strength rating filters with validated pivot alerts Develop systematic responses to different validated level types Conclusion The Fundur - Market Sentiment A indicator represents a breakthrough in technical analysis, providing a dynamic ZigZag system that displays validated highs and lows with unprecedented accuracy. By following the methodologies outlined in this guide and adapting the settings to your trading style, you can harness the full power of this sophisticated system for more precise and profitable trading decisions. The key to success with Market Sentiment A lies in understanding that it is fundamentally a dynamic support and resistance system. Focus on the validated highs and lows displayed on your chart, use the strength ratings to assess signal quality, and leverage the structure analysis for trend context. Start with conservative settings, focus on high-strength signals, and gradually incorporate advanced features as you become familiar with the system's behavior across different market conditions. Remember that this indicator provides the tools for identification and analysis - successful trading still requires proper risk management, psychological discipline, and continuous learning. Use the strength rating system as your primary guide, respect the validated pivot methodology, and always prioritize capital preservation over profit maximization.
Pine Script® インジケーター
Fundurの投稿
FT-Algos SuperFT-Algos: Unified Alpha Suite FT-Algos is an all-in-one Pine Script indicator designed to support traders across scalping and swing trading styles with unique multi-strategy logic and clear signals. Key Features: Three Trading Modes: Quick Scalps — Fast momentum-based entries optimized for ultra-short timeframes. Precision Scalps — Combines MACD flips, Kalman smoothing, Gaussian filters, ZLEMA, and Heikin Ashi SuperTrend to generate high-confidence scalping signals. Swing Trades — Uses trend stacking with Kalman, ZLEMA, and MACD crossovers confirmed by higher timeframe SuperTrend direction. Non-Repainting Signals: All entries rely on confirmed candle closes to avoid repainting and false signals. Visual Entry Markers: Compact BUY and SELL triangle labels placed directly above/below candles for clear signal visualization. Dynamic Take Profit and Stop Loss Levels: Calculated using Average True Range (ATR) to adjust for current market volatility. User Configurable Settings: Easily toggle signal visibility, TP/SL display, and short entry signals. Alert Conditions: Built-in alerts for buy and sell signals enable integration with TradingView’s alert system. How FT-Algos works: FT-Algos uniquely blends several filtering methods including Kalman and Gaussian smoothing, momentum evaluation, and multi-timeframe trend validation to minimize noise and improve entry precision. Each mode serves different trading styles—from rapid scalping to higher timeframe swing trading—allowing traders to adapt to their preferred strategy seamlessly. Disclaimer: This script is provided as-is for educational and informational purposes only. It does not constitute financial advice. Please test thoroughly and trade responsibly.
Pine Script® インジケーター
FT-Algosの投稿