Inizia

Oscillatori centrati

[ClearEdege] Momentum Suites V3 Advanced contrarian momentum analysis with intelligent pivot point integration for precision market timing. Developed for ClearEdge members *This indicator is not publicly available. Key Features Smart Signal System - Buy Low/Sell High Logic: Identifies oversold conditions for long entries and overbought conditions for short entries - Multi-Timeframe Confirmation: Incorporates higher timeframe bias for enhanced signal reliability - Momentum Convergence: Combines RSI, StochRSI, and Bollinger Bands for comprehensive market analysis Dynamic Pivot Integration - Classic Pivot Points: Auto-calculated daily/weekly/monthly support and resistance levels - Pivot Confluence Detection: Signals gain strength when price approaches key pivot levels - Smart Warning System: Single-alert approach prevents label spam while highlighting critical S/R interactions Table Dashboard - Compact Signal Table: Real-time buy/sell signal strength with scoring system - Market Context: Momentum status, nearest pivot level, volume and trend analysis - Clean Visual Design: Minimal interface focused on actionable information Intelligent Alerts - Approach Warnings: Alerts when price nears resistance with overbought momentum or support with oversold momentum - Confluence Signals: High-probability setups combining momentum extremes with pivot level proximity - Single-Shot Logic: Prevents alert fatigue with smart reset mechanisms Best Use Cases - Swing Trading: Ideal for identifying major reversal points at key levels - Risk Management: Clear warning system for potential turning points - Multi-Asset Analysis: Works across forex, crypto, stocks, and commodities - All Timeframes: Scalable from 5-minute charts to daily analysis Designed for traders who value precision over noise - combining classical pivot analysis with modern momentum indicators for superior market timing.
Indicatore Pine Script®
di unkownplayer
Hurst Momentum Oscillator | AlphaNattHurst Momentum Oscillator | AlphaNatt An adaptive oscillator that combines the Hurst Exponent - which identifies whether markets are trending or mean-reverting - with momentum analysis to create signals that automatically adjust to market regime. "The Hurst Exponent reveals a hidden truth: markets aren't always trending. This oscillator knows when to ride momentum and when to fade it." ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📐 THE MATHEMATICS Hurst Exponent (H): Measures the long-term memory of time series: H > 0.5: Trending (persistent) behavior H = 0.5: Random walk H < 0.5: Mean-reverting behavior Originally developed for analyzing Nile river flooding patterns, now used in: Fractal market analysis Network traffic prediction Climate modeling Financial markets The Innovation: This oscillator multiplies momentum by the Hurst coefficient: When trending (H > 0.5): Momentum is amplified When mean-reverting (H < 0.5): Momentum is reduced Result: Adaptive signals based on market regime ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💎 KEY ADVANTAGES Regime Adaptive: Automatically adjusts to trending vs ranging markets False Signal Reduction: Reduces momentum signals in mean-reverting markets Trend Amplification: Stronger signals when trends are persistent Mathematical Edge: Based on fractal dimension analysis No Repainting: All calculations on historical data ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 TRADING SIGNALS Visual Interpretation: Cyan zones: Bullish momentum in trending market Magenta zones: Bearish momentum or mean reversion Background tint: Blue = trending, Pink = mean-reverting Gradient intensity: Signal strength Trading Strategies: 1. Trend Following: Trade momentum signals when background is blue (trending) 2. Mean Reversion: Fade extreme readings when background is pink 3. Regime Transition: Watch for background color changes as early warning ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 OPTIMAL USAGE Best Conditions: Strong trending markets (crypto bull runs) Clear ranging markets (forex sessions) Regime transitions Multi-timeframe analysis Market Applications: Crypto: Excellent for identifying trend persistence Forex: Detects when pairs are ranging Stocks: Identifies momentum stocks Commodities: Catches persistent trends ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Developed by AlphaNatt | Fractal Market Analysis Version: 1.0 Classification: Adaptive Regime Oscillator Not financial advice. Always DYOR.
Indicatore Pine Script®
di AlphaNatt
Ark FCI OscillatorFinancial Conditions Index Oscillator This indicator tracks week-over-week changes in the National Financial Conditions Index (NFCI), providing a dynamic view of evolving financial conditions in the United States. Overview The National Financial Conditions Index (NFCI) is a comprehensive weekly composite index published by the Federal Reserve Bank of Chicago. It measures financial conditions across U.S. money markets, debt and equity markets, and the traditional and shadow banking systems. Interpretation Positive values indicate improving financial conditions Negative values signal deteriorating financial conditions Risk assets demonstrate particular sensitivity to changes in financial conditions, making this oscillator valuable for market timing and risk assessment. Alternative Data Source Users can modify the source to FRED:NFCIRISK to focus specifically on risk dynamics. The NFCIRISK subindex isolates volatility and funding risk measures within the financial sector, capturing market volatility indicators and liquidity shortage probabilities while excluding broader credit and leverage conditions.
Indicatore Pine Script®
di arkaydeus
1
Fisher Volume Transform | AlphaNattFisher Volume Transform | AlphaNatt A powerful oscillator that applies the Fisher Transform - converting price into a Gaussian normal distribution - while incorporating volume weighting to identify high-probability reversal points with institutional participation. "The Fisher Transform reveals what statistics professors have known for decades: when you transform market data into a normal distribution, turning points become crystal clear." ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎲 THE MATHEMATICS Fisher Transform Formula: The Fisher Transform converts any bounded dataset into a Gaussian distribution: y = 0.5 × ln((1 + x) / (1 - x)) Where x is normalized price (-1 to 1 range) Why This Matters: Market extremes become statistically identifiable Turning points are amplified and clarified Removes the skew from price distributions Creates nearly instantaneous signals at reversals Volume Integration: Unlike standard Fisher Transform, this version weights price by relative volume: High volume moves get more weight Low volume moves get filtered out Identifies institutional participation Reduces false signals from retail chop ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💎 KEY ADVANTAGES Statistical Edge: Transforms price into normal distribution where extremes are mathematically defined Volume Confirmation: Only signals with volume support Early Reversal Detection: Fisher Transform amplifies turning points Clean Signals: Gaussian distribution reduces noise No Lag: Mathematical transformation, not averaging ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ SETTINGS OPTIMIZATION Fisher Period (5-30): 5-9: Very sensitive, many signals 10: Default - balanced sensitivity 15-20: Moderate smoothing 25-30: Major reversals only Volume Weight (0.1-1.0): 0.1-0.3: Minimal volume influence 0.5-0.7: Balanced price/volume 0.7: Default - strong volume weight 0.8-1.0: Volume dominant ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 TRADING SIGNALS Primary Signals: Zero Cross Up: Bullish momentum shift Zero Cross Down: Bearish momentum shift Signal Line Cross: Early reversal warning Extreme Readings (±75): Potential reversal zones Visual Interpretation: Cyan zones: Bullish momentum Magenta zones: Bearish momentum Gradient intensity: Strength of move Histogram: Raw momentum power ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 OPTIMAL USAGE Best Market Conditions: Range-bound markets (reversals clear) High volume periods Major support/resistance levels Divergence hunting Trading Strategies: 1. Extreme Reversal: Enter when oscillator exceeds ±75 and reverses 2. Zero Line Momentum: Trade crosses of zero line with volume confirmation 3. Signal Line Strategy: Early entry on signal line crosses 4. Divergence Trading: Price makes new high/low but Fisher doesn't ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Developed by AlphaNatt | Quantitative Trading Systems Version: 1.0 Classification: Statistical Transform Oscillator Not financial advice. Always DYOR.
Indicatore Pine Script®
di AlphaNatt
RSI + Sell/Buy RatesEnglish follow Sell/Buy Rates = des barres vert/rouge qui mesurent la pression acheteurs vs vendeurs (calculé à partir des bougies et du volume), centrées sur 50. > 50 (vert) : acheteurs dominent. < 50 (rouge) : vendeurs dominent. Plus loin de 50 ⇒ plus fort. Avec le RSI : on ne fait que confirmer — RSI > 50 et barres > 50 → acheteurs ; RSI < 50 et barres < 50 → vendeurs ; sinon on s’abstient. Sell/Buy Rates = green/red bars that measure buyer vs. seller pressure (calculated from candles and volume), centered at 50. > 50 (green): buyers dominate. < 50 (red): sellers dominate. Farther from 50 ⇒ stronger. With RSI: it’s just a confirmation — RSI > 50 and bars > 50 → buyers; RSI < 50 and bars < 50 → sellers; otherwise, stand aside.
Indicatore Pine Script®
di PhilArsouille
Signal PainterSignal Painter is a trend-focused technical indicator that paints buy/sell signals only when a strong directional move is confirmed. It combines a momentum oscillator with a volatility filter to ensure signals occur during robust trends. In practice, the algorithm waits for price movement and momentum to exceed certain thresholds (for example, requiring both a surge in momentum and price range expansion) before marking a potential up-trend entry or down-trend entry on the chart. This means the system performs best in well-defined trending markets where such conditions are met consistently. In sideways or range-bound conditions, however, these strict requirements can be triggered by random fluctuations, reducing the indicator’s effectiveness (it may generate false or choppy signals when the market lacks clear direction). To adapt to a choppier market, traders can apply Signal Painter on a lower timeframe to make it more reactive to smaller price swings. This increases the frequency and quickness of signals (capturing short-term moves sooner) but at the cost of signal strength and reliability – lower-timeframe signals carry more noise and are less robust compared to signals on higher timeframes. In summary, Signal Painter is designed to highlight significant trend breakouts with visual cues on the chart, excelling during trending phases and cautioning users that its performance will degrade during sideways market conditions.
Indicatore Pine Script®
di CR-JE
2
buy sell ultra systemWhat it is EMA-POC Momentum System Ultra combines a proven trend stack (EMA 20/50/238), a price-of-control layer (POC via Bar-POC or VWAP alternative), and a momentum trigger (RSI) to surface higher-quality entries only when multiple, independent conditions align. This is not a cosmetic mashup; each component gates the others. How components work together Trend (EMA 20/50/238): Defines short/medium/long bias and filters counter-trend signals. POC (Bar-POC or Alt-POC/VWAP): Locates the most-traded/weighted price area; a neutral band around POC helps avoid chop. Control background: Above POC → buyers likely in control; below → sellers. Momentum (RSI): Entry arrows print only when RSI confirms with trend and price location vs POC; optional “cross 50” requirement reduces noise. Optional HTF trend: Confluence with a higher-timeframe EMA stack for stricter filtering. Why it’s original/useful Signals require confluence of (1) EMA trend stack, (2) POC location and neutral-zone filtering, (3) momentum confirmation, (4) optional slope and distance-to-POC checks, and (5) optional HTF trend. This reduces false positives compared with using any layer in isolation. How to use Markets/TFs: Built for XAUUSD (Gold) and US30. Works 1m–1h for intraday; 2h–4h for swing. Entries: Long: EMA stack bullish, price above POC, not in neutral band, RSI condition true → “Buy” arrow. Short: Opposite conditions → “Sell” arrow. Stops/Targets (suggested): Initial stop beyond POC/neutral band or recent swing. First target around 1R; trail with EMA20/50 or structure breaks. Settings to tune: POC Mode: Bar-POC (highest-volume bar’s close over lookback) or Alt-POC (VWAP). Neutral Band %: 0.10–0.35 typical intraday. Min distance from POC: 0.10–0.50% helps avoid low-RR entries right at POC. RSI: Choose “cross 50” for stricter triggers or simple >/< 50 for more signals. HTF trend: Turn on for extra confluence. Alerts: Buy Signal and Sell Signal (separate), or one Combined Buy/Sell alert. Set to “Once per bar close” if you want only confirmed arrows. Repainting / limitations Shapes can move until bar close (standard Pine behavior) when using intrabar conditions; final confirmation at close. No system guarantees profitability—forward test and adapt to your market/instrument. Clean chart The published chart contains only this script so outputs are easy to identify. Versions / updates Use Publish → Update for minor changes; do not create new publications for small tweaks. If you fork to preserve older behavior, explain why and how your fork differs. Changelog v1.1 – Tuning for Gold/US30, neutral-band & distance filters, optional HTF trend, combined alert. v1.0 – Initial public release (EMA stack + POC modes + RSI + alerts). License & credits Open-source for learning and improvement. Please credit on forks and explain modifications in your description.
Indicatore Pine Script®
di toondc
Momentum Index [BigBeluga]The Momentum Index is an innovative indicator designed to measure the momentum of price action by analyzing the distribution of positive and negative momentum values over a defined period. By incorporating delta-based calculations and smoothing techniques, it provides traders with a clear and actionable representation of market momentum dynamics. 🔵 Key Features: Delta-Based Momentum Analysis: Calculates the momentum of price by comparing its current state to its value from a defined number of bars back. Inside a loop, it evaluates whether momentum values are above or below zero, producing a delta value that reflects the net momentum direction and intensity. Double EMA Smoothing: Smooths the raw delta-based momentum values with a double EMA filter, reducing noise and providing a clearer trend signal. tmi(len) => sum = 0.0 sum1 = 0.0 above = 0.0 below = 0.0 src_ = src - src for i = 0 to len sum := sum + (src_ > nz(src_ ) ? 1 : -1) sum1 := sum1 + (sum > 0 ? 1 : -1) sum1 := emaEma(sum1, 10) for i = 1 to len above := above + (sum1 > 0 ? 1 : 0) below := below + (sum1 > 0 ? 0 : 1) Directional Momentum Signals: Generates momentum shift signals and displays them on both the oscillator and the main chart: - △ Aqua Triangles: Represent upward momentum shifts. - ▽ Red Triangles: Represent downward momentum shifts. Dynamic Gradient Display: Highlights momentum zones with gradient fills: - Aqua shades for positive momentum (above zero). - Red shades for negative momentum (below zero). Dashboard Display: A dashboard summarizing the count of momentum values above and below zero for the defined period (Sentiment Length e.g. 100), helping traders assess market sentiment at a glance. 🔵 How It Works: The indicator takes price momentum as its source and evaluates the number of momentum values above and below zero within a defined period. The delta calculation aggregates this information, providing a net representation of the prevailing market momentum. A double EMA filter is applied to the delta values, smoothing the momentum line and enhancing signal clarity. Momentum shifts are highlighted with visual signals on the oscillator and price chart, while the gradient display provides a visual representation of intensity. 🔵 Use Cases: Momentum Tracking: Identify whether market momentum is predominantly bullish or bearish. Signal Confirmation: Use chart-based signals to confirm potential trend reversals or continuation. Analyze Market Strength: Leverage the dashboard to quickly assess the distribution of momentum over the chosen period. Overbought/Oversold Conditions: Utilize gradient zones to detect areas of momentum extremes and possible price exhaustion. Momentum Index offers a refined approach to analyzing momentum dynamics, combining delta-based calculations with smoothing techniques and intuitive visuals, making it an essential tool for traders looking to anticipate market movements effectively.
Indicatore Pine Script®
di BigBeluga
4
ATR & Price Z-ScoreThis indicator combines the ATR Z-Score and the Price Z-Score into a single framework for evaluating market conditions using statistical context. The ATR Z-Score standardizes volatility by comparing the current ATR value to its historical mean and standard deviation, allowing traders to see when volatility is unusually high (above +2) or unusually low (below –2). The Price Z-Score applies the same normalization process to price itself, showing how far the current close is from its moving average in standard deviation terms, which highlights statistically stretched conditions that often align with overbought or oversold states. By plotting both measures together, traders can identify when price moves are supported by volatility or when the two diverge. For example, a high Price Z paired with a high ATR Z can confirm the strength of a breakout, while a high Price Z with a low ATR Z may suggest an unsustainable move lacking volatility support. Conversely, a volatility spike without an extreme in price can point to shakeouts or regime shifts. Because both measures are normalized, they can be compared across different markets and timeframes, making the indicator useful for spotting breakouts, squeezes, reversals, and abnormal conditions in a statistically consistent way.
Indicatore Pine Script®
di stephanweebe
Logit Transform -EasyNeuro-Logit Transform This script implements a novel indicator inspired by the Fisher Transform, replacing its core arctanh-based mapping with the logit transform. It is designed to highlight extreme values in bounded inputs from a probabilistic and statistical perspective. Background: Fisher Transform The Fisher Transform, introduced by John Ehlers , is a statistical technique that maps a bounded variable x (between a and b) to a variable approximately following a Gaussian distribution. The standard form for a normalized input y (between -1 and 1) is F(y) = 0.5 * ln((1 + y)/(1 - y)) = arctanh(y). This transformation has the following properties: Linearization of extremes: Small deviations around the mean are smooth, while movements near the boundaries are sharply amplified. Gaussian approximation: After transformation, the variable approximates a normal distribution, enabling analytical techniques that assume normality. Probabilistic interpretation: The Fisher Transform can be linked to likelihood ratio tests, where the transform emphasizes deviations from median or expected values in a statistically meaningful way. In technical analysis, this allows traders to detect turning points or extreme market conditions more clearly than raw oscillators alone. Logit Transform as a Generalization The logit function is defined for p between 0 and 1 as logit(p) = ln(p / (1 - p)). Key properties of the logit transform: Maps probabilities in (0, 1) to the entire real line, similar to the Fisher Transform. Emphasizes values near 0 and 1, providing sharp differentiation of extreme states. Directly interpretable in terms of odds and likelihood ratios: logit(p) = ln(odds). From a statistical viewpoint, the logit transform corresponds to the canonical link function in binomial generalized linear models (GLMs). This provides a natural interpretation of the transformed variable as the logarithm of the likelihood ratio between success and failure states, giving a rigorous probabilistic framework for extreme value detection. Theoretical Advantages Distributional linearization: For inputs that can be interpreted as probabilities, the logit transform creates a variable approximately linear in log-odds, similar to Fisher’s goal of Gaussianization but with a probabilistic foundation. Extreme sensitivity: By amplifying small differences near 0 or 1, it allows for sharper detection of market extremes or overbought/oversold conditions. Statistical interpretability: Provides a link to statistical hypothesis testing via likelihood ratios, enabling integration with probabilistic models or risk metrics. Applications in Technical Analysis Oscillator enhancement: Apply to RSI, Stochastic Oscillators, or other bounded indicators to accentuate extreme values with a well-defined probabilistic interpretation. Comparative study: Use alongside the Fisher Transform to analyze the effect of different nonlinear mappings on market signals, helping to uncover subtle nonlinearity in price behavior. Probabilistic risk assessment: Transforming input series into log-odds allows incorporation into statistical risk models or volatility estimation frameworks. Practical Considerations The logit diverges near 0 and 1, requiring careful scaling or smoothing to avoid numerical instability. As with the Fisher Transform, this indicator is not a standalone trading signal and should be combined with complementary technical or statistical indicators. In summary, the Logit Transform builds upon the Fisher Transform’s theoretical foundation while introducing a probabilistically rigorous mapping. By connecting extreme-value detection to odds ratios and likelihood principles, it provides traders and analysts with a mathematically grounded tool for examining market dynamics.
Indicatore Pine Script®
di EazyNeuro
X-Scalp by LogicatX-Scalp by Logicat — Clean-Range MTF Scalper Turn noisy intraday action into clear, actionable scalps. X-Scalp builds “Clean Range” zones only when three timeframes agree (default: M30/M15/M5), then waits for a single, high-quality M5 confirmation to print a BUY/SELL label. It’s fast, simple, and ruthlessly focused on precision. What it does Clean Range zones: Drawn from the last completed M30 candle only when M30/M15/M5 align (all green or all red). Size filter (pips): Ignore tiny, low-value ranges with a configurable minimum height (auto-pip detection included). Extend-until-mitigated: Zones stretch right and “freeze” on first mitigation (close inside or close beyond, your choice). Optional fade when mitigated. Laser M5 entries (one per box): Red M5 bar inside a green zone → SELL Green M5 bar inside a red zone → BUY Prints once per zone on the closed M5 candle—no spam. Quality of life: Keep latest N zones, customizable colors, optional H4 reference lines, alert conditions for both zone creation and entries. Why traders love it Clarity: Filters chop; you see only aligned zones and one clean trigger. Speed: Designed for scalpers on FX, XAU/USD, indices, and more. Control: Tune lookback, pip threshold, mitigation logic, and visuals to fit your playbook. Tips Use on liquid sessions for best results. Combine with your risk model (fixed R, partials at mid/edge, etc.). Backtest different pip filters per symbol. Disclaimer: No indicator guarantees profits. Trade responsibly and manage risk.
Indicatore Pine Script®
di ling7777
POC Migration Velocity (POC-MV) [PhenLabs]📊POC Migration Velocity (POC-MV) Version: PineScript™v6 📌Description The POC Migration Velocity indicator revolutionizes market structure analysis by tracking the movement, speed, and acceleration of Point of Control (POC) levels in real-time. This tool combines sophisticated volume distribution estimation with velocity calculations to reveal hidden market dynamics that conventional indicators miss. POC-MV provides traders with unprecedented insight into volume-based price movement patterns, enabling the early identification of continuation and exhaustion signals before they become apparent to the broader market. By measuring how quickly and consistently the POC migrates across price levels, traders gain early warning signals for significant market shifts and can position themselves advantageously. The indicator employs advanced algorithms to estimate intra-bar volume distribution without requiring lower timeframe data, making it accessible across all chart timeframes while maintaining sophisticated analytical capabilities. 🚀Points of Innovation Micro-POC calculation using advanced OHLC-based volume distribution estimation Real-time velocity and acceleration tracking normalized by ATR for cross-market consistency Persistence scoring system that quantifies directional consistency over multiple periods Multi-signal detection combining continuation patterns, exhaustion signals, and gap alerts Dynamic color-coded visualization system with intensity-based feedback Comprehensive customization options for resolution, periods, and thresholds 🔧Core Components POC Calculation Engine: Estimates volume distribution within each bar using configurable price bands and sophisticated weighting algorithms Velocity Measurement System: Tracks the rate of POC movement over customizable lookback periods with ATR normalization Acceleration Calculator: Measures the rate of change of velocity to identify momentum shifts in POC migration Persistence Analyzer: Quantifies how consistently POC moves in the same direction using exponential weighting Signal Detection Framework: Combines trend analysis, velocity thresholds, and persistence requirements for signal generation Visual Rendering System: Provides dynamic color-coded lines and heat ribbons based on velocity and price-POC relationships 🔥Key Features Real-time POC calculation with 10-100 configurable price bands for optimal precision Velocity tracking with customizable lookback periods from 5 to 50 bars Acceleration measurement for detecting momentum changes in POC movement Persistence scoring to validate signal strength and filter false signals Dynamic visual feedback with blue/orange color scheme indicating bullish/bearish conditions Comprehensive alert system for continuation patterns, exhaustion signals, and POC gaps Adjustable information table displaying real-time metrics and current signals Heat ribbon visualization showing price-POC relationship intensity Multiple threshold settings for customizing signal sensitivity Export capability for use with separate panel indicators 🎨Visualization POC Connecting Lines: Color-coded lines showing POC levels with intensity based on velocity magnitude Heat Ribbon: Dynamic colored ribbon around price showing POC-price basis intensity Signal Markers: Clear exhaustion top/bottom signals with labeled shapes Information Table: Real-time display of POC value, velocity, acceleration, basis, persistence, and current signal status Color Gradients: Blue gradients for bullish conditions, orange gradients for bearish conditions 📖Usage Guidelines POC Calculation Settings POC Resolution (Price Bands): Default 20, Range 10-100. Controls the number of price bands used to estimate volume distribution within each bar Volume Weight Factor: Default 0.7, Range 0.1-1.0. Adjusts the influence of volume in POC calculation POC Smoothing: Default 3, Range 1-10. EMA smoothing period applied to the calculated POC to reduce noise Velocity Settings Velocity Lookback Period: Default 14, Range 5-50. Number of bars used to calculate POC velocity Acceleration Period: Default 7, Range 3-20. Period for calculating POC acceleration Velocity Significance Threshold: Default 0.5, Range 0.1-2.0. Minimum normalized velocity for continuation signals Persistence Settings Persistence Lookback: Default 5, Range 3-20. Number of bars examined for persistence score calculation Persistence Threshold: Default 0.7, Range 0.5-1.0. Minimum persistence score required for continuation signals Visual Settings Show POC Connecting Lines: Toggle display of colored lines connecting POC levels Show Heat Ribbon: Toggle display of colored ribbon showing POC-price relationship Ribbon Transparency: Default 70, Range 0-100. Controls transparency level of heat ribbon Alert Settings Enable Continuation Alerts: Toggle alerts for continuation pattern detection Enable Exhaustion Alerts: Toggle alerts for exhaustion pattern detection Enable POC Gap Alerts: Toggle alerts for significant POC gaps Gap Threshold: Default 2.0 ATR, Range 0.5-5.0. Minimum gap size to trigger alerts ✅Best Use Cases Identifying trend continuation opportunities when POC velocity aligns with price direction Spotting potential reversal points through exhaustion pattern detection Confirming breakout validity by monitoring POC gap behavior Adding volume-based context to traditional technical analysis Managing position sizing based on POC-price basis strength ⚠️Limitations POC calculations are estimations based on OHLC data, not true tick-by-tick volume distribution Effectiveness may vary in low-volume or highly volatile market conditions Requires complementary analysis tools for complete trading decisions Signal frequency may be lower in ranging markets compared to trending conditions Performance optimization needed for very short timeframes below 1-minute 💡What Makes This Unique Advanced Estimation Algorithm: Sophisticated method for calculating POC without requiring lower timeframe data Velocity-Based Analysis: Focus on POC movement dynamics rather than static levels Comprehensive Signal Framework: Integration of continuation, exhaustion, and gap detection in one indicator Dynamic Visual Feedback: Intensity-based color coding that adapts to market conditions Persistence Validation: Unique scoring system to filter signals based on directional consistency 🔬How It Works Volume Distribution Estimation: Divides each bar into configurable price bands for volume analysis Applies sophisticated weighting based on OHLC relationships and proximity to close Identifies the price level with maximum estimated volume as the POC Velocity and Acceleration Calculation: Measures POC rate of change over specified lookback periods Normalizes values using ATR for consistent cross-market performance Calculates acceleration as the rate of change of velocity Signal Generation Process: Combines trend direction analysis using EMA crossovers Applies velocity and persistence thresholds to filter signals Generates continuation, exhaustion, and gap alerts based on specific criteria 💡Note: This indicator provides estimated POC calculations based on available OHLC data and should be used in conjunction with other analysis methods. The velocity-based approach offers unique insights into market structure dynamics but requires proper risk management and complementary analysis for optimal trading decisions.
Indicatore Pine Script®
di PhenLabs
CandelaCharts - Mean Reversion Oscillator 📝 Overview The Mean Reversion Oscillator (MRO) is a bounded 0–100 indicator that shows how far the price has deviated from its statistical mean. Normalizing deviations into a consistent scale helps traders spot overbought/oversold conditions, potential mean reversion setups, and momentum shifts around a moving average. 📦 Features Bounded scale (0–100) for easy recognition of stretched conditions. Customizable MA & StdDev periods for different trading horizons. Dynamic coloring: Red = Overbought, Green = Oversold, Blue = Neutral Visual aids: Background shading in OB/OS zones + 50 midline. ⚙️ Settings MA Length – Period for the moving average baseline. StdDev Length – Standard deviation window. Tip: match the MA length for smoother results. Overbought Level – Threshold for stretched highs. Oversold Level – Threshold for stretched lows. ⚡️ Showcase Overbought/Oversold Zones Divergences 📒 Usage The Mean Reversion Oscillator (MRO) is best used as a context tool, not as a standalone buy/sell signal generator. Its primary purpose is to tell you when the price is statistically stretched relative to its average, so you can anticipate a potential return toward the mean. Add to chart – Paste the script in TradingView and load it in a separate pane. Set MA Length – Use 20–50 for intraday, 100–200 for swing/position trading. Match StdDev Length – Keep it close to the MA Length to avoid distortion (e.g., MA 200 → StdDev 200). Interpret readings:    >70 (Overbought) – Price stretched high, reversion or slowdown likely.    <30 (Oversold) – Price stretched low, bounce potential.    50 (Midline) – Neutral, momentum shift point. Use with confluence – Strongest signals occur when MRO extremes align with S/R levels, trend filters, or volume cues. Adjust thresholds – 70/30 is balanced; 80/20 gives fewer but stronger signals, 60/40 gives more but weaker ones. Stay trend-aware – In strong trends, OB/OS can persist. Always check higher timeframe bias before fading moves. 🚨 Alerts The indicator does not provide any alerts! ⚠️ Disclaimer These tools are exclusively available on the TradingView platform. Our charting tools are intended solely for informational and educational purposes and should not be regarded as financial, investment, or trading advice. They are not designed to predict market movements or offer specific recommendations. Users should be aware that past performance is not indicative of future results and should not rely on these tools for financial decisions. By using these charting tools, the purchaser agrees that the seller and creator hold no responsibility for any decisions made based on information provided by the tools. The purchaser assumes full responsibility and liability for any actions taken and their consequences, including potential financial losses or investment outcomes that may result from the use of these products. By purchasing, the customer acknowledges and accepts that neither the seller nor the creator is liable for any undesired outcomes stemming from the development, sale, or use of these products. Additionally, the purchaser agrees to indemnify the seller from any liability. If invited through the Friends and Family Program, the purchaser understands that any provided discount code applies only to the initial purchase of Candela's subscription. The purchaser is responsible for canceling or requesting cancellation of their subscription if they choose not to continue at the full retail price. In the event the purchaser no longer wishes to use the products, they must unsubscribe from the membership service, if applicable. We do not offer reimbursements, refunds, or chargebacks. Once these Terms are accepted at the time of purchase, no reimbursements, refunds, or chargebacks will be issued under any circumstances. By continuing to use these charting tools, the user confirms their understanding and acceptance of these Terms as outlined in this disclaimer.
Indicatore Pine Script®
di CandelaCharts
Adaptive Convergence Divergence### Adaptive Convergence Divergence (ACD) By Gurjit Singh The Adaptive Convergence Divergence (ACD) reimagines the classic MACD by replacing fixed moving averages with adaptive moving averages. Instead of a static smoothing factor, it dynamically adjusts sensitivity based on price momentum, relative strength, volatility, fractal roughness, or volume pressure. This makes the oscillator more responsive in trending markets while filtering noise in choppy ranges. #### 📌 Key Features 1. Dual Adaptive Structure: The oscillator uses two adaptive moving averages to form its convergence-divergence line, with EMA/RMA as signal line: * Primary Adaptive (MA): Fast line, reacts quickly to changes. * Following Adaptive (FAMA): Slow line, with half-alpha smoothing for confirmation. 2. Adaptive MA Types * ACMO: Adaptive CMO (momentum) * ARSI: Adaptive RSI (relative strength) * FRMA: Fractal Roughness (volatility + fractal dimension) * VOLA: Volume adaptive (volume pressure) 3. PPO Option: Switch between classic MACD or Percentage Price Oscillator (PPO) style calculation. 4. Signal Smoothing: Choose between EMA or Wilder’s RMA. 5. Visuals: Colored oscillator, signal line, histogram with adaptive transparency. 6. Alerts: Bullish/Bearish crossovers built-in. #### 🔑 How to Use 1. Add to chart: Works on any timeframe and asset. 2. Choose MA Type: Experiment with ACMO, ARSI, FRMA, or VOLA depending on market regime. 3. Crossovers: * Bullish (🐂): Oscillator crosses above signal → potential long entry. * Bearish (🐻): Oscillator crosses below signal → potential short entry. 4. Histogram: expansion = strengthening trend; contraction = weakening trend. 5. Divergences: * Bullish (hidden strength): Price pushes lower, but ACD turns higher = potential upward reversal. * Bearish (hidden weakness): Price pushes higher, but ACD turns lower = potential downward reversal. 6. Customize: Adjust lengths, smoothing type, and PPO/MACD mode to match your style. 7. Set Alerts: * Enable Bullish or Bearish crossover alerts to catch momentum shifts in real time. #### 💡 Tips * PPO mode normalizes values across assets, useful for cross-asset analysis. * Wilder’s smoothing is gentler than EMA, reducing whipsaws in sideways conditions. * Adaptive smoothing helps reduce false divergence signals by filtering noise in choppy ranges.
Indicatore Pine Script®
di singhxgurjit
Dual-BB SuperTrend - by Trading Pine Lab🇬🇧 The Dual-BB SuperTrend is a fusion strategy that builds a BBTrend oscillator from two Bollinger Bands (short & long lookbacks) and then runs a SuperTrend over that oscillator to time entries and exits. The BBTrend captures expansion/contraction between the two bands (structural momentum), while the SuperTrend converts that flow into clear directional flips. Entries occur on SuperTrend direction flips over the BBTrend series (Long when ST turns bullish, Short when it turns bearish). Optional percentage TP/SL can be applied on top. The chart includes a blue/orange theme for the BBTrend histogram with a subtle glow around the zero line, and BUY/SELL label markers with arrows for clean visual confirmation. All parameters are fully configurable: -Trading direction filter: Long / Short / Both. -Bollinger settings: short length, long length, standard-deviation multiplier. -SuperTrend over BBTrend: length and ATR factor, contrarian labels toggle, bull/bear colors. -Risk controls: Take-Profit % and Stop-Loss % with TP/SL/Both/None mode. -Visualization: BBTrend column colors (blue/orange, strong/weak), zero-line glow, BUY/SELL label styling.
Strategia Pine Script®
di trading_pine_lab
1
Bull-Bear Power ZScore - by Trading Pine Lab🇬🇧 The Bull-Bear Power ZScore Strategy is an advanced trading framework that integrates Bull-Bear Power (BBP) with a statistical Z-Score model. BBP measures the relative strength of buyers vs. sellers against an EMA baseline, while the Z-Score standardizes this relationship to detect statistically significant breakouts. This dual-layer approach provides early trend detection while reducing noise from raw momentum signals. Entries are triggered when the Z-Score crosses above or below its threshold (long above +T, short below –T). Exits occur when the Z-Score crosses back to zero, ensuring trades close when momentum fades. A dynamic multi-level take-profit system is integrated, using ATR-based targets (TP1, TP2, TP3) that automatically adapt to **volume context** (high/medium/low) and **percentile analysis** (distribution of price and volume). This ensures profit targets stretch in strong environments and tighten in weaker conditions, optimizing both risk and reward. All parameters are fully configurable: -Bull-Bear Power Settings: EMA length, Z-Score length, Z-Score threshold. -Take Profit Settings: enable/disable TP system, ATR period, TP1–TP3 multipliers, TP1–TP3 position sizes. -Volume Analysis: volume MA period, high/medium/low multipliers, adjustment factors. -Percentile Analysis: percentile lookback period, high/medium/low thresholds, adjustment factors.
Strategia Pine Script®
di trading_pine_lab
1