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The Ultimate Trend FinderThe Ultimate Trend Finder is an advanced all-in-one trend analysis toolkit built for traders who want deeper insights into price structure, trend strength, and reversal patterns. It combines traditional pivot-based analysis with dynamic trendline projections and candlestick pattern recognition. 🔹 Core Features: Swing High/Low Detection Automatically identifies significant swing highs and lows using customizable pivot length. Trendline Connections Connects pivots with color-coded trendlines to visualize higher highs/lows or lower highs/lows. Green lines: Uptrend connections Maroon lines: Downtrend connections Extended Trendline Projections Projects support/resistance zones forward using slope analysis based on: ATR Standard Deviation Linear Regression Or a Combined Method with custom weightings Candlestick Pattern Labels Recognizes key reversal patterns like Hammers, Engulfings, Shooting Stars, and more—displayed directly on pivot points for quick interpretation. ADX-Based Filtering Optionally filters extended trendlines by trend strength using Average Directional Index (ADX). Breakouts through these lines dynamically change their color and style, signaling potential momentum shifts. 🛠 Customization: Choose pivot sensitivity Customize colors, trendline width, and visibility Enable/disable pattern detection, backpainting, and filtering logic This tool is ideal for traders seeking an edge in both trending and ranging markets. Whether you're identifying potential breakout zones, confirming trend direction, or spotting early reversals, The Ultimate Trend Finder delivers powerful visual clarity and adaptability.
Pine Script® göstergesi
herose4the tarafından
Bull & Bear Power Separados📄 English Description for TradingView Bull & Bear Power – Elder Style This indicator displays the strength of buyers (Bull Power) and sellers (Bear Power) separately, based on Alexander Elder’s original concept. It uses a 13-period Exponential Moving Average (EMA) as the baseline, calculating: Bull Power = High – EMA Bear Power = Low – EMA ✔️ Bull Power (green) shows buying pressure. ✔️ Bear Power (red) shows selling pressure. Great for analyzing true market momentum and spotting early signs of potential trend reversals. Can be used as confirmation together with moving averages (e.g., MMA30 and MMA50) or price action signals. ✅ On 1H gold charts (XAUUSD), it has shown solid behavior in filtering entries during clear trends. Developed and shared for educational purposes by El Bit Criollo.
Pine Script® göstergesi
gastonferraro tarafından
MVRV Ratio [Alpha Extract]The MVRV Ratio Indicator provides valuable insights into Bitcoin market cycles by tracking the relationship between market value and realized value. This powerful on-chain metric helps traders identify potential market tops and bottoms, offering clear buy and sell signals based on historical patterns of Bitcoin valuation. 🔶 CALCULATION The indicator processes MVRV ratio data through several analytical methods: Raw MVRV Data: Collects MVRV data directly from INTOTHEBLOCK for Bitcoin Optional Smoothing: Applies simple moving average (SMA) to reduce noise Status Classification: Categorizes market conditions into four distinct states Signal Generation: Produces trading signals based on MVRV thresholds Price Estimation: Calculates estimated realized price (Current price / MVRV ratio) Historical Context: Compares current values to historical extremes Formula: MVRV Ratio = Market Value / Realized Value Smoothed MVRV = SMA(MVRV Ratio, Smoothing Length) Estimated Realized Price = Current Price / MVRV Ratio Distance to Top = ((3.5 / MVRV Ratio) - 1) * 100 Distance to Bottom = ((MVRV Ratio / 0.8) - 1) * 100 🔶 DETAILS Visual Features: MVRV Plot: Color-coded line showing current MVRV value (red for overvalued, orange for moderately overvalued, blue for fair value, teal for undervalued) Reference Levels: Horizontal lines indicating key MVRV thresholds (3.5, 2.5, 1.0, 0.8) Zone Highlighting: Background color changes to highlight extreme market conditions (red for potentially overvalued, blue for potentially undervalued) Information Table: Comprehensive dashboard showing current MVRV value, market status, trading signal, price information, and historical context Interpretation: MVRV ≥ 3.5: Potential market top, strong sell signal MVRV ≥ 2.5: Overvalued market, consider selling MVRV 1.5-2.5: Neutral market conditions MVRV 1.0-1.5: Fair value, consider buying MVRV < 1.0: Potential market bottom, strong buy signal 🔶 EXAMPLES Market Top Identification: When MVRV ratio exceeds 3.5, the indicator signals potential market tops, highlighting periods where Bitcoin may be significantly overvalued. Example: During bull market peaks, MVRV exceeding 3.5 has historically preceded major corrections, helping traders time their exits. Bottom Detection: MVRV values below 1.0, especially approaching 0.8, have historically marked excellent buying opportunities. Example: During bear market bottoms, MVRV falling below 1.0 has identified the most profitable entry points for long-term Bitcoin accumulation. Tracking Market Cycles: The indicator provides a clear visualization of Bitcoin's market cycles from undervalued to overvalued states. Example: Following the progression of MVRV from below 1.0 through fair value and eventually to overvalued territory helps traders position themselves appropriately throughout Bitcoin's market cycle. Realized Price Support: The estimated realized price often acts as a significant support/resistance level during market transitions. Example: During corrections, price often finds support near the realized price level calculated by the indicator, providing potential entry points. 🔶 SETTINGS Customization Options: Smoothing: Toggle smoothing option and adjust smoothing length (1-50) Table Display: Show/hide the information table Table Position: Choose between top right, top left, bottom right, or bottom left positions Visual Elements: All plots, lines, and background highlights can be customized for color and style The MVRV Ratio Indicator provides traders with a powerful on-chain metric to identify potential market tops and bottoms in Bitcoin. By tracking the relationship between market value and realized value, this indicator helps identify periods of overvaluation and undervaluation, offering clear buy and sell signals based on historical patterns. The comprehensive information table delivers valuable context about current market conditions, helping traders make more informed decisions about market positioning throughout Bitcoin's cyclical patterns.
Pine Script® göstergesi
AlphaExtract tarafından
Super Oscilador by RouroSuper Oscillator by Rouro A high-precision composite momentum indicator that brings together five classic oscillators—RSI, Stochastic %K, CCI, Rate of Change (ROC) with ATR-based dynamic thresholds, and Williams %R—into a single, unified tool: Normalized & Smoothed • Each oscillator is scored (+1 overbought, –1 oversold, 0 neutral), averaged into a –1…+1 range and smoothed with an EMA for a clean, comparable line. Intuitive Color Coding • Oscillator line turns red in overbought territory, green in oversold, and blue in neutral zones. Traffic-Light State Table • A compact on-chart table shows each indicator’s real-time status (green/red/gray), so you can verify which signals are aligned. Non-Repainting Buy/Sell Signals • Arrows appear on confirmed exits from overbought/oversold levels (using barstate.isconfirmed), and can be hooked to TradingView alerts via built-in alertcondition. Fully Customizable • Choose manual ROC thresholds or let ATR dynamically adjust sensitivity. You get full control over periods, levels and smoothing to fit any asset or timeframe. This all-in-one oscillator helps you spot confluence across multiple momentum tools at a glance, with zero repaint. Great for entries, exits and automated alerting.
Pine Script® göstergesi
rouro33 tarafından
Arnaud Legoux Trend Aggregator | Lyro RSArnaud Legoux Trend Aggregator Introduction Arnaud Legoux Trend Aggregator is a custom-built trend analysis tool that blends classic market oscillators with advanced normalization, advanced math functions and Arnaud Legoux smoothing. Unlike conventional indicators, 𝓐𝓛𝓣𝓐 aggregates market momentum, volatility and trend strength. Signal Insight The 𝓐𝓛𝓣𝓐 line visually reflects the aggregated directional bias. A rise above the middle line threshold signals bullish strength, while a drop below the middle line indicates bearish momentum. Another way to interpret the 𝓐𝓛𝓣𝓐 is through overbought and oversold conditions. When the 𝓐𝓛𝓣𝓐 rises above the +0.7 threshold, it suggests an overbought market and signals a strong uptrend. Conversely, a drop below the -0.7 level indicates an oversold condition and a strong downtrend. When the oscillator hovers near the zero line, especially within the neutral ±0.3 band, it suggests that no single directional force is dominating—common during consolidation phases or pre-breakout compression. Real-World Example Usually 𝓐𝓛𝓣𝓐 is used by following the bar color for simple signals; however, like most indicators there are unique ways to use an indicator. Let’s dive deep into such ways. The market begins with a green bar color, raising awareness for a potential long setup—but not a direct entry. In this methodology, bar coloring serves as an alert mechanism rather than a strict entry trigger. The first long position was initiated when the 𝓐𝓛𝓣𝓐 signal line crossed above the +0.3 threshold, suggesting a shift in directional acceleration. This entry coincided with a rising price movement, validating the trade. As price advanced, the position was exited into cash—not reversed into a short—because the short criteria for this use case are distinct. The exit was prompted by 𝓐𝓛𝓣𝓐 crossing back below the +0.3 level, signaling the potential weakening of the long trend. Later, as 𝓐𝓛𝓣𝓐 crossed below 0, attention shifted toward short opportunities. A short entry was confirmed when 𝓐𝓛𝓣𝓐 dipped below -0.3, indicating growing downside momentum. The position was eventually closed when 𝓐𝓛𝓣𝓐 crossed back above the -0.3 boundary—signaling a possible deceleration of the bearish move. This logic was consistently applied in subsequent setups, emphasizing the role of 𝓐𝓛𝓣𝓐’s thresholds in guiding both entries and exits. Framework The Arnaud Legoux Trend Aggregator (ALTA) combines multiple technical indicators into a single smoothed signal. It uses RSI, MACD, Bollinger Bands, Stochastic Momentum Index, and ATR. Each indicator's output is normalized to a common scale to eliminate bias and ensure consistency. These normalized values are then transformed using a hyperbolic tangent function (Tanh). The final score is refined with a custom Arnaud Legoux Moving Average (ALMA) function, which offers responsive smoothing that adapts quickly to price changes. This results in a clear signal that reacts efficiently to shifting market conditions. ⚠️ WARNING ⚠️: THIS INDICATOR, OR ANY OTHER WE (LYRO RS) PUBLISH, IS NOT FINANCIAL OR INVESTMENT ADVICE. EVERY INDICATOR SHOULD BE COMBINED WITH PRICE ACTION, FUNDAMENTALS, OTHER TECHNICAL ANALYSIS TOOLS & PROPER RISK. MANAGEMENT.
Pine Script® göstergesi
LyroRS tarafından
Mandelbrot-Fibonacci Cascade Vortex (MFCV)Mandelbrot-Fibonacci Cascade Vortex (MFCV) - Where Chaos Theory Meets Sacred Geometry A Revolutionary Synthesis of Fractal Mathematics and Golden Ratio Dynamics What began as an exploration into Benoit Mandelbrot's fractal market hypothesis and the mysterious appearance of Fibonacci sequences in nature has culminated in a groundbreaking indicator that reveals the hidden mathematical structure underlying market movements. This indicator represents months of research into chaos theory, fractal geometry, and the golden ratio's manifestation in financial markets. The Theoretical Foundation Mandelbrot's Fractal Market Hypothesis Traditional efficient market theory assumes normal distributions and random walks. Mandelbrot proved markets are fractal - self-similar patterns repeating across all timeframes with power-law distributions. The MFCV implements this through: Hurst Exponent Calculation: H = log(R/S) / log(n/2) Where: R = Range of cumulative deviations S = Standard deviation n = Period length This measures market memory: H > 0.5: Trending (persistent) behavior H = 0.5: Random walk H < 0.5: Mean-reverting (anti-persistent) behavior Fractal Dimension: D = 2 - H This quantifies market complexity, where higher dimensions indicate more chaotic behavior. Fibonacci Vortex Theory Markets don't move linearly - they spiral. The MFCV reveals these spirals using Fibonacci sequences: Vortex Calculation: Vortex(n) = Price + sin(bar_index × φ / Fn) × ATR(Fn) × Volume_Factor Where: φ = 0.618 (golden ratio) Fn = Fibonacci number (8, 13, 21, 34, 55) Volume_Factor = 1 + (Volume/SMA(Volume,50) - 1) × 0.5 This creates oscillating spirals that contract and expand with market energy. The Volatility Cascade System Markets exhibit volatility clustering - Mandelbrot's "Noah Effect." The MFCV captures this through cascading volatility bands: Cascade Level Calculation: Level(i) = ATR(20) × φ^i Each level represents a different fractal scale, creating a multi-dimensional view of market structure. The golden ratio spacing ensures harmonic resonance between levels. Implementation Architecture Core Components: Fractal Analysis Engine Calculates Hurst exponent over user-defined periods Derives fractal dimension for complexity measurement Identifies market regime (trending/ranging/chaotic) Fibonacci Vortex Generator Creates 5 independent spiral oscillators Each spiral follows a Fibonacci period Volume amplification creates dynamic response Cascade Band System Up to 8 volatility levels Golden ratio expansion between levels Dynamic coloring based on fractal state Confluence Detection Identifies convergence of vortex and cascade levels Highlights high-probability reversal zones Real-time confluence strength calculation Signal Generation Logic The MFCV generates two primary signal types: Fractal Signals: Generated when: Hurst > 0.65 (strong trend) AND volatility expanding Hurst < 0.35 (mean reversion) AND RSI < 35 Trend strength > 0.4 AND vortex alignment Cascade Signals: Triggered by: RSI > 60 AND price > SMA(50) AND bearish vortex RSI < 40 AND price < SMA(50) AND bullish vortex Volatility expansion AND trend strength > 0.3 Both signals implement a 15-bar cooldown to prevent overtrading. Advanced Input System Mandelbrot Parameters: Cascade Levels (3-8): Controls number of volatility bands Crypto: 5-7 (high volatility) Indices: 4-5 (moderate volatility) Forex: 3-4 (low volatility) Hurst Period (20-200): Lookback for fractal calculation Scalping: 20-50 Day Trading: 50-100 Swing Trading: 100-150 Position Trading: 150-200 Cascade Ratio (1.0-3.0): Band width multiplier 1.618: Golden ratio (default) Higher values for trending markets Lower values for ranging markets Fractal Memory (21-233): Fibonacci retracement lookback Uses Fibonacci numbers for harmonic alignment Fibonacci Vortex Settings: Spiral Periods: Comma-separated Fibonacci sequence Fast: "5,8,13,21,34" (scalping) Standard: "8,13,21,34,55" (balanced) Extended: "13,21,34,55,89" (swing) Rotation Speed (0.1-2.0): Controls spiral oscillation frequency 0.618: Golden ratio (balanced) Higher = more signals, more noise Lower = smoother, fewer signals Volume Amplification: Enables dynamic spiral expansion Essential for stocks and crypto Disable for forex (no central volume) Visual System Architecture Cascade Bands: Multi-level volatility envelopes Gradient coloring from primary to secondary theme Transparency increases with distance from price Fill between bands shows fractal structure Vortex Spirals: 5 Fibonacci-period oscillators Blue above price (bullish pressure) Red below price (bearish pressure) Multiple display styles: Lines, Circles, Dots, Cross Dynamic Fibonacci Levels: Auto-updating retracement levels Smart update logic prevents disruption near levels Distance-based transparency (closer = more visible) Updates every 50 bars or on volatility spikes Confluence Zones: Highlighted boxes where indicators converge Stronger confluence = stronger support/resistance Key areas for reversal trades Professional Dashboard System Main Fractal Dashboard: Displays real-time: Hurst Exponent with market state Fractal Dimension with complexity level Volatility Cascade status Vortex rotation impact Market regime classification Signal strength percentage Active indicator levels Vortex Metrics Panel: Shows: Individual spiral deviations Convergence/divergence metrics Real-time vortex positioning Fibonacci period performance Fractal Metrics Display: Tracks: Dimension D value Market complexity rating Self-similarity strength Trend quality assessment Theory Guide Panel: Educational reference showing: Mandelbrot principles Fibonacci vortex concepts Dynamic trading suggestions Trading Applications Trend Following: High Hurst (>0.65) indicates strong trends Follow cascade band direction Use vortex spirals for entry timing Exit when Hurst drops below 0.5 Mean Reversion: Low Hurst (<0.35) signals reversal potential Trade toward vortex spiral convergence Use Fibonacci levels as targets Tighten stops in chaotic regimes Breakout Trading: Monitor cascade band compression Watch for vortex spiral alignment Volatility expansion confirms breakouts Use confluence zones for targets Risk Management: Position size based on fractal dimension Wider stops in high complexity markets Tighter stops when Hurst is extreme Scale out at Fibonacci levels Market-Specific Optimization Cryptocurrency: Cascade Levels: 5-7 Hurst Period: 50-100 Rotation Speed: 0.786-1.2 Enable volume amplification Stock Indices: Cascade Levels: 4-5 Hurst Period: 80-120 Rotation Speed: 0.5-0.786 Moderate cascade ratio Forex: Cascade Levels: 3-4 Hurst Period: 100-150 Rotation Speed: 0.382-0.618 Disable volume amplification Commodities: Cascade Levels: 4-6 Hurst Period: 60-100 Rotation Speed: 0.5-1.0 Seasonal adjustment consideration Innovation and Originality The MFCV represents several breakthrough innovations: First Integration of Mandelbrot Fractals with Fibonacci Vortex Theory Unique synthesis of chaos theory and sacred geometry Novel application of Hurst exponent to spiral dynamics Dynamic Volatility Cascade System Golden ratio-based band expansion Multi-timeframe fractal analysis Self-adjusting to market conditions Volume-Amplified Vortex Spirals Revolutionary spiral calculation method Dynamic response to market participation Multiple Fibonacci period integration Intelligent Signal Generation Cooldown system prevents overtrading Multi-factor confirmation required Regime-aware signal filtering Professional Analytics Dashboard Institutional-grade metrics display Real-time fractal analysis Educational integration Development Journey Creating the MFCV involved overcoming numerous challenges: Mathematical Complexity: Implementing Hurst exponent calculations efficiently Visual Clarity: Displaying multiple indicators without cluttering Performance Optimization: Managing array operations and calculations Signal Quality: Balancing sensitivity with reliability User Experience: Making complex theory accessible The result is an indicator that brings PhD-level mathematics to practical trading while maintaining visual elegance and usability. Best Practices and Guidelines Start Simple: Use default settings initially Match Timeframe: Adjust parameters to your trading style Confirm Signals: Never trade MFCV signals in isolation Respect Regimes: Adapt strategy to market state Manage Risk: Use fractal dimension for position sizing Color Themes Six professional themes included: Fractal: Balanced blue/purple palette Golden: Warm Fibonacci-inspired colors Plasma: Vibrant modern aesthetics Cosmic: Dark mode optimized Matrix: Classic green terminal Fire: Heat map visualization Disclaimer This indicator is for educational and research purposes only. It does not constitute financial advice. While the MFCV reveals deep market structure through advanced mathematics, markets remain inherently unpredictable. Past performance does not guarantee future results. The integration of Mandelbrot's fractal theory with Fibonacci vortex dynamics provides unique market insights, but should be used as part of a comprehensive trading strategy. Always use proper risk management and never risk more than you can afford to lose. Acknowledgments Special thanks to Benoit Mandelbrot for revolutionizing our understanding of markets through fractal geometry, and to the ancient mathematicians who discovered the golden ratio's universal significance. "The geometry of nature is fractal... Markets are fractal too." - Benoit Mandelbrot Revealing the Hidden Order in Market Chaos Trade with Mathematical Precision. Trade with MFCV. — Created with passion for the TradingView community Trade with insight. Trade with anticipation. — Dskyz , for DAFE Trading Systems
Pine Script® göstergesi
DskyzInvestments tarafından
2
Adaptive Dual EMA Trend Filter# Adaptive Dual EMA Trend Filter This indicator colors the EMA based on trend direction and shows buy/sell arrows based on trend shifts. Ideal for trend-following traders who want fast visual confirmation. ### Features: - EMA color switches: **green for bullish**, **red for bearish** - Automatic Buy/Sell signals based on trend reversal - Works on all timeframes and assets - Lightweight and fast ### How it works: - EMA is calculated from the selected source - If price is above the EMA → uptrend (green) - If price is below the EMA → downtrend (red) - Arrows mark transition points for possible entries/exits --- 🛠 Suggested usage: - Combine with volume or momentum indicators - Confirm with support/resistance zones - Use alerts (customizable) for trend flips --- If you find this helpful – give it a ⭐ and follow for more PineScript tools!
Pine Script® göstergesi
HannibalQuant tarafından
EMA 21 / 55 / 100 / 200EMA 21/55/100/200 — Multi-Fractal Trend Radar This indicator overlays four key exponential moving averages (21, 55, 100, and 200 periods) to provide a quick visual reading of market direction, strength, and trend phases. • EMA 21 (red): Short-term pulse; great for identifying quick momentum shifts and pullback zones in scalping or intraday setups. • EMA 55 (orange): Intermediate trend filter; often acts as dynamic support or resistance during multi-day swing moves. • EMA 100 (aqua): Medium-term trend gauge; confirms the strength of the prevailing trend and helps avoid counter-trend trades. • EMA 200 (blue): Long-term baseline; defines macro bias and highlights potential cycle reversals when broken or reclaimed.
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mark_cornejo_b tarafından
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
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MILO888 tarafından
Weekly EMA12-26 Buy/Sell Trend with Bar ColorGolden cross TF week with buy-sell signal Use EMA 12 cross above EMA 26 and if the price closes above EMA 12 it will give a buy signal and if EMA 12 crosses below EMA 26 and if the price closes below EMA 26 it will give a sell signal. ใช้ EMA 12 ตัดขึ้นเหนือ EMA 26 และถ้าราคาปิดอยู่เหนือ EMA 12 จะให้สัญญาณซื้อ และถ้า EMA 12 ตัดลงต่ำกว่า EMA 26 และถ้าราคาปิดอยู่ต่ำกว่า EMA 26 จะให้สัญญาณขาย
Pine Script® göstergesi
Medico410 tarafından
Buy/Sell Signals with EMA 200, Hull Suite, and MACD Short Description: The "Trend Surfer" Pine Script is your ultimate tool for catching and riding the waves of market trends. It masterfully combines the lightning-fast trend identification of the Hull Suite, the steadfast long-term direction from the 200 Moving Average, and the precise momentum shifts of MACD crossovers, helping you to "surf" market trends with confidence. Full Description: Overview: Ever dreamed of effortlessly riding the market's biggest waves? The "Trend Surfer" script is engineered precisely for that. By integrating the Hull Moving Average (HMA) Suite, the 200-period Simple Moving Average (SMA), and the Moving Average Convergence Divergence (MACD), this script offers a sophisticated yet intuitive approach to trend trading. Its core strength lies in its ability to identify confluence – ensuring that multiple, robust indicators align perfectly before signaling a trade. This multi-layered confirmation system acts like a powerful filter, allowing you to focus on high-probability trend-following opportunities and avoid choppy waters.
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jimboytrading tarafından
2
Support and Resistance Logistic Regression | Flux Charts💎 GENERAL OVERVIEW Introducing our new Logistic Regression Support / Resistance indicator! This tool leverages advanced statistical modeling "Logistic Regressions" to identify and project key price levels where the market is likely to find support or resistance. For more information about the process, please check the "HOW DOES IT WORK ?" section. Logistic Regression Support / Resistance Features : Intelligent S/R Identification : The indicator uses a logistic regression model to intelligently identify and plot significant support and resistance levels. Predictive Probability : Each identified level comes with a calculated probability, indicating how likely it is to act as a true support or resistance based on historical data. Retest & Break Labels : The indicator clearly marks on your chart when a detected support or resistance level is retested (price touches and respects the level) or broken (price decisively crosses through the level). Alerts : Real-time alerts for support retests, resistance retests, support breaks, and resistance breaks. Customizable : You can change support & resistance line style, width and colors. 🚩 UNIQUENESS What makes this indicator truly unique is its application of logistic regression to the concept of support and resistance. Instead of merely identifying historical highs and lows, our indicator uses a statistical model to predict the future efficacy of these levels. It analyzes underlying market conditions (like RSI and body size at pivot formation) to assign a probability to each potential S/R zone. This predictive insight, combined with dynamic, real-time labeling of retests and breaks, provides a more robust and adaptive understanding of market structure than traditional, purely historical methods. 📌HOW DOES IT WORK ? The Logistic Regression Support / Resistance indicator operates in several key steps: First, it identifies significant pivot highs and lows on the chart based on a user-defined "Pivot Length." These pivots are potential areas of support or resistance. For each detected pivot, the indicator extracts relevant market data at that specific point, including the RSI (Relative Strength Index) and the Body Size (the absolute difference between the open and close price of the candle). These serve as input features for the model. The core of the indicator lies in its logistic regression model. This model is continuously trained on past pivot data and their subsequent behavior (i.e., whether they were "respected" as support/resistance multiple times). It learns the relationship between the extracted features (RSI, Body Size) and the likelihood of a pivot becoming a significant S/R level. When a new pivot is identified, the model uses its learned insights to calculate a prediction value—a probability (from 0 to 1) that this specific pivot will act as a strong support or resistance. If the calculated probability exceeds a user-defined "Probability Threshold," the pivot is designated a "Regression Pivot" and drawn on the chart as a support or resistance line. The indicator then actively tracks how price interacts with these levels, displaying "R" labels for retests when the price bounces off the level and "B" labels for breaks when the price closes beyond it. ⚙️ SETTINGS 1. General Configuration Pivot Length: This setting defines the number of bars used to determine a significant high or low for pivot detection. Target Respects: This input specifies how many times a level must be "respected" by price action for it to be considered a strong support or resistance level by the underlying model. Probability Threshold: This is the minimum probability output from the logistic regression model for a detected pivot to be considered a valid support or resistance level and be plotted on the chart. 2. Style Show Prediction Labels: Enable or disable labels that display the calculated probability of a newly identified regression S/R level. Show Retests: Toggle the visibility of "R" labels on the chart, which mark instances where price has retested a support or resistance level. Show Breaks: Toggle the visibility of "B" labels on the chart, which mark instances where price has broken through a support or resistance level.
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fluxchart tarafından
9