Empiece

Volatilidad

Manus KI TradingManus Machiene Learning Beast – Indicator Description Settings Use 1h Chart Use Regime filter: 0.5 Use ADX 20 Use SMA 200 and be happy... Overview Manus Machiene Learning Beast is an advanced TradingView indicator that combines Machine Learning (Lorentzian Classification) with trend, volatility, and market regime filters to generate high-quality long and short trade signals. The indicator is designed for rule-based, disciplined trading and works especially well for set-and-forget, semi-automated, or fully automated execution workflows. ⸻ Core Concept At its core, the indicator uses a machine-learning model based on a modified K-Nearest Neighbors (KNN) approach. Instead of standard Euclidean distance, it applies Lorentzian distance, which: • Reduces the impact of outliers • Accounts for market distortions caused by volatility spikes and major events • Produces more robust predictions in real market conditions The model does not attempt to predict exact tops or bottoms. Instead, it estimates the probable price direction over the next 4 bars. ⸻ Signal Logic Long Signals A long signal is generated when: • The ML model predicts a positive directional bias • All enabled filters are satisfied • A new directional change is detected (non-repainting) • Optional trend filters (EMA / SMA) confirm the direction • Optional kernel regression confirms bullish momentum 📍 Displayed as a green label below the bar Short Signals A short signal is generated when: • The ML model predicts a negative directional bias • Filters confirm bearish conditions • A new directional change occurs • Trend and kernel filters align 📍 Displayed as a red label above the bar ⸻ Filters & Components All filters are modular and can be enabled or disabled individually. 1. Volatility Filter • Avoids trading during extremely low or chaotic volatility conditions 2. Regime Filter (Trend vs Range) • Attempts to filter out sideways markets • Especially important for ML-based systems 3. ADX Filter (Optional) • Trades only when sufficient trend strength is present 4. EMA / SMA Trend Filters • Classic trend confirmation (e.g., 200 EMA / 200 SMA) • Ensures trades are aligned with the higher-timeframe trend 5. Kernel Regression (Nadaraya-Watson) • Smooths price behavior • Acts as a momentum and trend confirmation filter • Can be used in standard or smoothed mode ⸻ Moving Average Overlays For visual market context, the indicator includes optional overlays: • ✅ SMA 200 • ✅ HMA 200 Both can be toggled via checkboxes and are visual aids only, unless explicitly enabled as filters. ⸻ Exit Logic Two exit methods are available: 1. Fixed Exit • Trades close after 4 bars • Matches the ML model’s training horizon 2. Dynamic Exit • Uses kernel regression and signal changes • Designed to let profits run in strong trends ⚠️ Recommended only when no additional trend filters are active. ⸻ Backtesting & Trade Statistics The indicator includes an on-chart statistics panel showing: • Win rate • Total trades • Win/Loss ratio • Early signal flips (useful for identifying choppy markets) ⚠️ This is intended for calibration and optimization only, not as a replacement for full strategy backtesting. ⸻ Typical Use Cases • Swing trading (M15 – H4) • Rule-based discretionary trading • Set-and-forget trading • TradingView alerts → MT4/MT5 → EA execution • Prop-firm trading (e.g. FTMO), with proper risk management ⸻ Important Disclaimer This indicator: • ❌ does not guarantee profits • ❌ is not a “holy grail” • ✅ is a decision-support and structure tool It performs best when: • Combined with strict risk management (e.g. ATR-based stops) • Used in trending or expanding markets • Executed with discipline and consistency
Indicador Pine Script®
por feiler_manuel
Rate of Change - ROC🎯 Overview This is an advanced Rate of Change - ROC indicator that measures percentage price movement over time, combined with dynamic moving average filtering. Unlike basic ROC implementations, this version features gradient momentum zones, multiple color themes, and a clear signal dashboard for precise momentum velocity identification. 🧩 Core Components 1. ⚙️ Technical Foundation 📊 Primary Calculation: Uses TradingView's built-in ta.roc() function which calculates percentage change between current price and price N periods ago 📈 Dual Analysis Components: ROC Line: Percentage change oscillator MA Filter: Customizable moving average acting as momentum trend line Momentum Zones: Gradient fills for strong positive and strong negative momentum ⚡ Velocity Measurement: Unique ability to quantify the speed of price movement as a percentage 2. 🎛️ Configuration Parameters 📏 ROC Length: Default 35 periods (optimized for momentum detection) 🔄 MA Filter Settings: Length: Customizable (default 365 periods) Type: 6 options available (EMA, SMA, RMA, WMA, VWMA, HMA) 🎨 Color Themes: 5 visual schemes consistent with your indicator suite: Classic, Modern, Robust, Accented, Monochrome 📊 Signal Interpretation: 🟢 BULLISH: ROC > MA Filter (momentum accelerating upward) 🔴 BEARISH: ROC < MA Filter (momentum accelerating downward) 🚀 STRONG BULLISH: ROC > 40% (extreme positive momentum) 📉 STRONG BEARISH: ROC < -20% (extreme negative momentum) 3. 🎨 Visual Elements 🚨 Gradient Zones: Strong Bullish zone : Green gradient intensifying toward higher percentages Strong Bearish zone : Red gradient intensifying toward lower percentages 📋 Dashboard Display: Top-right status indicator showing "⬆️ Bullish" or "⬇️ Bearish" 📊 Dynamic Coloring: ROC line changes color based on position relative to MA ⚡ Zero Line Reference: Natural equilibrium at 0% change ⚡ Trading Applications 📈 Primary Uses: 🎯 Momentum Velocity Measurement: ROC > MA = Accelerating bullish momentum ROC < MA = Accelerating bearish momentum 💪 Momentum Strength Quantification: Higher positive percentages = Stronger uptrend acceleration Lower negative percentages = Stronger downtrend acceleration Measures rate of change rather than just direction 🚨 Extreme Momentum Signals: Strong Bullish: (rapid price appreciation) Strong Bearish: (rapid price depreciation) 📊 Zone Analysis: 🟢 Strong Bullish Zone : Green gradient fills Indicates rapid price acceleration upward Often precedes consolidation or pullback 🔴 Strong Bearish Zone : Red gradient fills Indicates rapid price acceleration downward Often precedes bounce or reversal 🟡 Equilibrium: Yellow MA line acts as momentum trend filter 🎨 Customization Options 👁️ Display Features: 📊 Dual Components: Always shows both ROC line and MA filter 🎨 Gradient Visualization: Automatic fill for extreme momentum conditions 📋 Status Dashboard: Clear bullish/bearish momentum acceleration indication 📈 Customizable MA: Choose from 6 different moving average types 📏 Adjustable Thresholds: 40% and -20% levels optimized for ROC analysis 🎨 Visual Themes: (Consistent suite) 🎨 Classic: Green/Red (traditional momentum colors) 🚀 Modern: Cyan/Purple (contemporary) 💪 Robust: Amber/Deep Purple (high contrast) 🌈 Accented: Purple/Magenta (vibrant) ⚫⚪ Monochrome: Light Gray/Dark Gray (minimalist) 🔔 Alert System 🟢 LONG Alert: Triggers when ROC crosses above MA 🔴 SHORT Alert: Triggers when ROC crosses below MA 📧 Format: Includes ticker symbol for tracking ⚡ Key Advantages ✅ Strengths: 🎯 Velocity-Based Analysis: Measures speed of price movement, not just direction 💪 Percentage-Based: Provides intuitive understanding of momentum strength 👁️ Trend Acceleration Identification: MA filter shows when momentum is accelerating/decelerating 🔄 Flexible Timeframes: 35-period default optimized for momentum detection 📊 Professional Dashboard: Immediate momentum acceleration status 📊 Optimal Settings: ⚡ Short-term Momentum: ROC Length 10-20, MA Length 20-50 📊 Medium-term Momentum: ROC Length 20-35, MA Length 50-100 📈 Long-term Momentum: ROC Length 35-50, MA Length 100-365 🏆 Unique Features: 🎯 Percentage-Based Measurement: Shows exact rate of price change 📊 Asymmetric Thresholds: 40% bullish / -20% bearish (reflects typical market asymmetry) 🎨 Consistent Design: Matches your indicator family aesthetics 📋 Momentum Dashboard: Quick visual confirmation of acceleration/deceleration 🔧 Speed Analysis: Focuses on velocity rather than just position 🔄 Trading Strategies 1. Momentum Acceleration Strategy: Go LONG when ROC crosses above MA with ROC > 0% Go SHORT when ROC crosses below MA with ROC < 0% Strong signals when crossing occurs in extreme zones 2. Velocity Divergence: Price makes higher high, ROC makes lower high → Momentum divergence (trend weakening) Price makes lower low, ROC makes higher low → Momentum divergence (downtrend losing steam) 3. Trend Acceleration Detection: Rising ROC above MA = Uptrend accelerating Falling ROC below MA = Downtrend accelerating Flat ROC near MA = Trend consolidation 📈 Performance Tips Context Matters: High ROC during strong trends is normal, during ranges may signal exhaustion Zero Line Cross: ROC crossing 0% often signals trend change Extreme Readings: ROC > 40% often precedes consolidation, ROC < -20% often precedes bounce Timeframe Alignment: Use consistent periods across charts for comparable readings Confirmation: Combine with price structure and volume for highest probability trades This enhanced ROC indicator provides professional-grade momentum velocity analysis with intuitive visualization, allowing traders to quantify the speed of price movements, identify acceleration/deceleration phases, and filter signals through the customizable moving average for precise momentum-based trading decisions! 📊⚡
Indicador Pine Script®
por Tiagorocha1989
bezgincan_BPA Integrated Market Analyzer (V6) - Why? This is an advanced oscillator powered by the v6 engine that combines the four main pillars of technical analysis —Volume, Trend, Volatility , and Momentum —into a single mathematical model. It eliminates chart clutter, allowing you to monitor market strength, speed, and saturation from a single panel. Fourfold Analysis Logic: Trend: Calculates the main direction and slope of the price using linear regression slope. Momentum: Measures the strength of price movement using RSI-based normalized momentum data. Volatility: Compares current volatility to historical averages via the ATR ratio. Volume: By relating volume increases to momentum, it confirms the reality of the motion. How to Use? The display operates on a fixed, normalized scale between -100 and +100 : Zero Line Intersections: When the BPA line crosses above 0 (Green Area) , it indicates increased buying pressure, and when it crosses below 0 (Red Area), it indicates increased selling pressure. Extremes (Yellow Background): When the indicator rises above +70 or falls below -70 , it means the market is "overheated". These zones signal that the trend is exhausted and a correction (or profit-taking) may be imminent. Signal Labels: The triangles on the chart represent zero-line intersections (trend reversal confirmation). Why this indicator? Normalized Scale: Unlike classic indicators, it always stays within the -100/+100 range, providing visual consistency. Filtered Data: It doesn't just look at price; it incorporates volume and volatility to help filter out "fake" patterns. Pine Script v6: Performs fast and optimized calculations with the latest Pine Script engine.
Indicador Pine Script®
por mehmetbezgincan
KI Power signaleManus Machiene Learning Beast – Indicator Description Overview Manus Machiene Learning Beast is an advanced TradingView indicator that combines Machine Learning (Lorentzian Classification) with trend, volatility, and market regime filters to generate high-quality long and short trade signals. The indicator is designed for rule-based, disciplined trading and works especially well for set-and-forget, semi-automated, or fully automated execution workflows. ⸻ Core Concept At its core, the indicator uses a machine-learning model based on a modified K-Nearest Neighbors (KNN) approach. Instead of standard Euclidean distance, it applies Lorentzian distance, which: • Reduces the impact of outliers • Accounts for market distortions caused by volatility spikes and major events • Produces more robust predictions in real market conditions The model does not attempt to predict exact tops or bottoms. Instead, it estimates the probable price direction over the next 4 bars. ⸻ Signal Logic Long Signals A long signal is generated when: • The ML model predicts a positive directional bias • All enabled filters are satisfied • A new directional change is detected (non-repainting) • Optional trend filters (EMA / SMA) confirm the direction • Optional kernel regression confirms bullish momentum 📍 Displayed as a green label below the bar Short Signals A short signal is generated when: • The ML model predicts a negative directional bias • Filters confirm bearish conditions • A new directional change occurs • Trend and kernel filters align 📍 Displayed as a red label above the bar ⸻ Filters & Components All filters are modular and can be enabled or disabled individually. 1. Volatility Filter • Avoids trading during extremely low or chaotic volatility conditions 2. Regime Filter (Trend vs Range) • Attempts to filter out sideways markets • Especially important for ML-based systems 3. ADX Filter (Optional) • Trades only when sufficient trend strength is present 4. EMA / SMA Trend Filters • Classic trend confirmation (e.g., 200 EMA / 200 SMA) • Ensures trades are aligned with the higher-timeframe trend 5. Kernel Regression (Nadaraya-Watson) • Smooths price behavior • Acts as a momentum and trend confirmation filter • Can be used in standard or smoothed mode ⸻ Moving Average Overlays For visual market context, the indicator includes optional overlays: • ✅ SMA 200 • ✅ HMA 200 Both can be toggled via checkboxes and are visual aids only, unless explicitly enabled as filters. ⸻ Exit Logic Two exit methods are available: 1. Fixed Exit • Trades close after 4 bars • Matches the ML model’s training horizon 2. Dynamic Exit • Uses kernel regression and signal changes • Designed to let profits run in strong trends ⚠️ Recommended only when no additional trend filters are active. ⸻ Backtesting & Trade Statistics The indicator includes an on-chart statistics panel showing: • Win rate • Total trades • Win/Loss ratio • Early signal flips (useful for identifying choppy markets) ⚠️ This is intended for calibration and optimization only, not as a replacement for full strategy backtesting. ⸻ Typical Use Cases • Swing trading (M15 – H4) • Rule-based discretionary trading • Set-and-forget trading • TradingView alerts → MT4/MT5 → EA execution • Prop-firm trading (e.g. FTMO), with proper risk management ⸻ Important Disclaimer This indicator: • ❌ does not guarantee profits • ❌ is not a “holy grail” • ✅ is a decision-support and structure tool It performs best when: • Combined with strict risk management (e.g. ATR-based stops) • Used in trending or expanding markets • Executed with discipline and consistency
Indicador Pine Script®
por feiler_manuel
stelaraX - BSL/SSL LiquiditystelaraX – BSL/SSL Liquidity stelaraX – BSL/SSL Liquidity is a technical analysis indicator that identifies and tracks buy-side and sell-side liquidity levels based on swing highs and swing lows. The script uses pivot detection to mark potential liquidity pools, then monitors price action to highlight when those levels are swept. The indicator is designed to visualize liquidity as either lines, zones, or both, and to keep the chart clean through configurable level limits and optional extensions. Core logic Swing highs and swing lows are detected using ta.pivothigh and ta.pivotlow with a user-defined swing length. Each detected swing high creates a BSL level, and each detected swing low creates an SSL level. For every created level, the script stores: * the price * the bar index where the swing formed * sweep status and sweep bar * optional drawn objects (line, zone box, label) A level is considered swept when: * BSL is swept if high trades above the stored swing high price * SSL is swept if low trades below the stored swing low price When a sweep occurs, the corresponding visuals are updated to a “swept” style (higher transparency and dashed line), and the level is stopped/closed at the sweep bar. Display and styling The indicator supports three display modes: * Lines: horizontal liquidity lines * Zones: rectangular zones with adjustable width in percent * Both: lines and zones together Additional options: * extend levels forward by a fixed amount if not swept * show labels at creation (BSL / SSL) * optional swept marker at the sweep bar * customizable colors for active and swept states * maximum number of levels to keep on chart (older levels are removed automatically) Dashboard An optional dashboard summarizes: * total BSL levels and swept BSL levels * total SSL levels and swept SSL levels * sweep rate percentages for both sides The dashboard position and text size are configurable. Alerts The script provides: * alert conditions for new BSL and SSL levels (new pivot high / new pivot low) * optional real-time alert messages when a sweep is detected (BSL swept or SSL swept) Disclaimer This indicator is intended for technical analysis purposes only and does not provide financial advice or trade recommendations. Trading decisions and risk management remain the responsibility of the user.
Indicador Pine Script®
por TMB_Invest
Outlier Catching Moving AverageOutlier Catching Moving Average (OCMA) | MisinkoMaster Outlier Catching Moving Average (OCMA) is a volatility-adaptive trend indicator designed to react quickly to abnormal price movements while maintaining smooth behavior during normal market conditions. The indicator aims to capture sudden price expansions without sacrificing overall trend clarity. This makes OCMA suitable for traders who want faster adaptation to unusual market activity while still preserving stable trend structure across varying volatility regimes. Key Features Volatility-adaptive moving average designed to react to price outliers Multiple moving average bases supported for flexible smoothing behavior Optional ATR-based adaptive bands for volatility envelopes Configurable trend logic for earlier signals or stronger confirmations Dynamic candle coloring for intuitive trend visualization Automatic Long and Short markers on confirmed trend transitions Designed to balance responsiveness and smoothness across market conditions How It Works OCMA builds on traditional moving average concepts but incorporates adaptive smoothing that adjusts according to changing market volatility. Rather than behaving uniformly across all conditions, the average becomes more responsive when price behavior deviates strongly from recent structure and smoother when markets return to normal activity. Optional ATR bands expand and contract with volatility, helping identify when price moves significantly away from its adaptive equilibrium. The result is a moving average that remains stable in calm markets yet quickly adapts when price action becomes irregular or impulsive. Inputs Overview Source — Selects the price data used in calculations Moving Average Length — Controls the main smoothing period ATR Length — Sets the volatility measurement period used for band calculations Base Moving Average — Selects which moving average type is used as the foundation Trend Logic — Chooses whether trends are detected via band crossover, average direction change, or both Use ATR Bands — Enables or disables adaptive volatility bands Factor — Controls ATR band width sensitivity ALMA Offset & Sigma — Parameters used only when ALMA smoothing is selected Usage Notes Designed to detect abnormal price expansions while preserving overall trend structure Suitable for breakout traders and volatility-aware trend strategies Band crossovers can signal potential trend transitions Average direction changes may confirm continuation or reversal Works well when combined with market structure or confirmation tools Adjust parameters according to asset volatility and timeframe Summary Outlier Catching Moving Average provides a volatility-aware alternative to standard moving averages, helping traders capture unusual price behavior while maintaining smooth and readable trend signals. It is well suited for traders seeking adaptive trend tools capable of responding when markets move outside normal conditions.
Indicador Pine Script®
por MisinkoMaster
Outlier Resistant Moving AverageOutlier Resistant Moving Average (ORMA) | MisinkoMaster Outlier Resistant Moving Average (ORMA) is a trend-following moving average designed to reduce the impact of abnormal price spikes while preserving responsiveness to real market moves. The goal is to provide a smoother and more stable trend reference that remains usable even during volatile or erratic price behavior. Unlike traditional moving averages that react strongly to sudden price shocks, ORMA adapts its behavior to volatility conditions, helping traders follow trends without being constantly misled by temporary price extremes. Key Features Moving average designed to resist distortion from price outliers Adaptive smoothing behavior that reacts to volatility conditions Optional ATR-based dynamic bands for trend confirmation Multiple moving average types supported as the calculation base Flexible trend detection logic options Automatic trend coloring and signal labeling Candle coloring for intuitive trend visualization How It Works ORMA builds upon a selectable base moving average and modifies its behavior to reduce the influence of abnormal price movements. Instead of reacting equally to all price changes, the calculation adjusts its responsiveness according to changing volatility conditions. When market volatility expands, the indicator becomes more conservative, preventing sudden spikes from distorting the average. During calmer conditions, responsiveness increases, allowing the average to track price action more closely. Optional ATR-based bands can be applied around the average, allowing traders to use band breakouts as confirmation of trend strength rather than relying solely on slope changes. The result is a moving average that remains stable in noisy markets while still adapting during real trend movements. Inputs Overview Source — Selects the price source used in calculations Moving Average Length — Controls smoothing and calculation sensitivity ATR Length — Controls volatility measurement used for adaptive behavior Base Moving Average — Selects which MA type forms the calculation foundation Trend Logic — Determines whether trend is detected via crossover, slope change, or both Use ATR Bands — Enables or disables dynamic ATR bands ATR Factor — Controls band distance from the average ALMA Offset & Sigma — Parameters used only when ALMA smoothing is selected Floored Offset — Optional ALMA configuration affecting smoothing behavior Usage Notes Useful for filtering noise during volatile or choppy markets ATR bands can help confirm stronger breakouts or trend continuation Trend logic modes allow adaptation to different trading styles Suitable for swing trading, trend-following, and position trading approaches Can act as dynamic support or resistance in trending markets Works well when combined with momentum or volume confirmation tools Summary Outlier Resistant Moving Average offers a volatility-aware trend reference that helps traders remain aligned with broader price movement while minimizing disruptions from sudden price spikes. It is especially useful for traders seeking smoother trend identification without sacrificing adaptability.
Indicador Pine Script®
por MisinkoMaster
Neural Probability Channel [AlgoPoint]The Neural Probability Channel (NPC) is a next-generation volatility and trend analysis tool designed to overcome the limitations of traditional bands (like Bollinger Bands) and smoothing filters (like standard Moving Averages). Unlike traditional indicators that rely on linear deviation or simple averages, the NPC utilizes a Rational Quadratic Kernel—a concept derived from machine learning regression models—to calculate a non-repainting, highly adaptive baseline (Fair Value). This allows the indicator to distinguish between market noise and genuine trend shifts with superior accuracy. The volatility bands are dynamically calculated using a hybrid of Standard Error (Mean Deviation) and ATR, ensuring the channels adapt organically to market conditions—expanding during high-impact moves and contracting during consolidation. How It Works - The Neural Baseline (Center Line): Instead of a standard Moving Average, the NPC uses a Rational Quadratic Kernel weighting system. This assigns "importance" to price data based on both recency and similarity. It acts as a "Center of Gravity" for price, providing a smoother yet responsive trend detection line without the lag associated with SMAs or EMAs. Crucially, the math is causal (no lookahead), meaning it does not repaint. - Adaptive Volatility Bands: The channel width is not fixed. It uses a Hybrid Volatility Model: - Inner Channel: Represents the "Probability Zone" (approx. 70% confidence). Price staying here indicates a stable trend. - Outer Channel: Represents "Extreme Deviation" (Statistical Anomalies). When price touches or breaches these outer bands, it is statistically overextended (Overbought/Oversold). Signal Generation: - Reversion Signals: Generated when price breaches the Outer Bands and closes back inside. This suggests a "Snap-back" or Mean Reversion event. - Trend Confirmation: The color of the baseline and the fill zones changes based on the slope of the Kernel, giving an instant visual read on market bias. How to Use It - Mean Reversion Strategy: Look for price action extending beyond the Outer Bands (Thinner lines). If price leaves a wick and closes back inside, it signals a high-probability reversal toward the Neural Baseline. - Green Signal: Potential Long (Reversal from Lows). - Red Signal: Potential Short (Reversal from Highs). - Trend Following: Use the Neural Baseline (Thick Center Line) as a dynamic support/resistance level. If price is holding above the baseline and the cloud is green, the trend is Bullish. If price is holding below the baseline and the cloud is red, the trend is Bearish. - Squeeze Detection: When the Inner and Outer bands compress significantly, it indicates low volatility and often precedes an explosive breakout. Settings - Lookback Window: Determines the depth of the Kernel analysis. - Smoothness (Bandwidth): Higher values create a smoother baseline (better for trends), while lower values make it more reactive (better for scalping). - Regression Alpha: Controls the weight distribution of the Kernel. - Channel Multipliers: Adjust the width of the Inner and Outer bands to fit your specific asset's volatility profile.
Indicador Pine Script®
por Iamalala
MIZAN v9.2: Volumetric Chaos ShieldTitle: MIZAN v9.2: Volumetric Chaos Shield (VCS) Description: MIZAN-VCS is an advanced trend-following system developed by Mizan Lab. It is designed to filter out market noise and identify high-probability entries powered by volume and momentum. It combines a dynamic "Path" algorithm with a Choppiness Index and Volume confirmation to keep traders out of dangerous ranging markets. Key Features: The Path (Dynamic Support/Resistance): Instead of standard moving averages, MIZAN uses a density-based path algorithm to find the true center of the price action. Cyan Line: Bullish Trend Orange Line: Bearish Trend Volumetric Chaos Shield (VCS): The indicator automatically detects "Choppy/Ranging" markets using the Choppiness Index. When the market is choppy, the main trend line turns Gray and Thin, signaling "DO NOT TRADE". Signals are suppressed during high chaos to prevent whipsaws. Volume Confirmation: A breakout is only valid if there is sufficient volume backing it. Weak moves are ignored. OCC & L-Score Integration: Uses a proprietary blend of RSI, CCI, and Volume to validate the "Reality" of a price move. Built-in Trailing Stop: Automatically plots a trailing stop line (Green/Red) to help you manage risk and lock in profits. How to Use: BUY Signal: When the line is Cyan (thick), Volume is Strong, and a "VOL BUY" label appears. SELL Signal: When the line is Orange (thick), Volume is Strong, and a "VOL SELL" label appears. WAIT: When the line is Gray (thin) and the Dashboard says "CHOP (WAIT)". Dashboard: The bottom-right panel provides real-time status on Market Mode (Trend vs. Chop), Volume Strength, and developer credits. Disclaimer: This tool is for educational purposes only. Always use proper risk management. © Developed by Mizan Lab
Indicador Pine Script®
por muratkavak02
2
Step Generalized Moving Average [BackQuant]Step Generalized Moving Average Overview Step Generalized Moving Average (StepGMA) is a trend-structure moving average designed to solve two common problems with classic MAs: They overreact to noise in chop, causing constant micro-flips. They lag too much when you smooth them enough to stop that noise. StepGMA tackles this by combining two layers: A Generalized Moving Average (GMA) that increases responsiveness without simply shortening length. A Step Filter that converts the MA into discrete “steps” sized by ATR, suppressing insignificant movement and only updating when the move is meaningful. The output is a trend line that behaves more like market structure: it holds its level through noise, then “reprices” in chunks when volatility-adjusted movement is large enough. What the indicator is trying to represent Instead of showing every tiny MA wiggle, StepGMA tries to represent the idea that: Most price movement is noise relative to volatility. Trend only matters when it advances by a meaningful amount. A good trend line should stay stable until the market forces it to move. That makes this indicator useful as: A regime filter (trend vs chop). A trend-following bias line. A structure-like dynamic S/R reference. A signal generator with fewer low-quality flips. Component 1: Moving Average engine (selectable) The base smoothing is not fixed. You can choose between multiple MA types: SMA, EMA, WMA, VWMA: classic smoothing families. DEMA, TEMA: reduced-lag EMA variants. T3: smooth yet responsive, good for trend. HMA: very low lag, can be twitchy without filtering. ALMA: center-weighted smoothing, often “cleaner” visually. KAMA: adaptive smoothing based on efficiency ratio, good in mixed regimes. LSMA: regression-based, tends to track trend direction well. McGinley: dynamic smoothing designed to reduce lag during fast moves. This matters because the StepGMA is not “one MA.” It is a framework that lets you pick the underlying smoothing behavior, then applies the generalization and step logic on top. Component 2: Generalized Moving Average (GMA) Where the idea comes from Generalized MA here is essentially a form of two-stage smoothing compensation . A common trick in signal processing and technical analysis is: Apply a smoother once (MA1). Apply it again (MA2). Use MA2 as a “lag reference,” then combine MA1 and MA2 to reduce lag while keeping smoothness. This is related in spirit to reduced-lag filters (like DEMA/TEMA) and “zero-lag” style constructions that subtract part of the lag component. You are not magically removing lag, you are biasing the output toward the first-pass MA while subtracting some of the second-pass smoothing that represents delayed response. How this script does it It computes: ma1 = MA(src, len) ma2 = MA(ma1, len) Then combines them using a volume factor (vf): generalized = ma1 * (1 + vf) - ma2 * vf Interpretation: ma2 is a “more delayed” version of ma1. Subtracting vf * ma2 and adding (1+vf) * ma1 pushes the output toward responsiveness. vf controls how aggressive that push is. Volume Factor (vf) is really an aggressiveness knob The script clamps vf between 0.01 and 1.0 to keep it stable. Conceptually: Low vf: behaves closer to a normal MA1, smoother, more lag. High vf: more compensation, faster response, more risk of overshoot or noise sensitivity (which is then handled by the step filter). So the GMA stage tries to give you a cleaner, faster trend estimate without just shrinking the MA period. Component 3: Step Filter (the key behavior) What a step filter is A step filter turns a continuous signal (here, the generalized MA) into a discrete “staircase” signal. Instead of updating every bar, it updates only when the input has moved far enough to justify a new step. This is conceptually similar to: A quantizer in signal processing (rounding changes to discrete increments). A volatility threshold filter (ignore changes smaller than X). Market structure logic where levels matter more than micro movement. How it works in this script The filter maintains a persistent value: stepped . Each bar: diff = src - stepped If |diff| < stepSize, do nothing (hold the level). If |diff| >= stepSize, move stepped by a number of step increments. The step increment size is: stepSize = (stepMult / 100) * ATR(atrPeriod) This is critical: In higher volatility, ATR is larger, so steps are larger, fewer updates, more stability. In lower volatility, ATR is smaller, so steps are smaller, more updates, more sensitivity. So the step behavior automatically adapts to volatility. Multiple-step catching behavior If price jumps far beyond one step, the script does not move only one step. It moves by: floor(|diff| / stepSize) * stepSize So it “catches up” in discrete blocks, preserving the stepped character without lagging massively after large moves. Direction and regime Direction is determined by the stepped line, not the raw MA: direction = +1 if steppedMA is rising direction = -1 if steppedMA is falling otherwise direction stays the same Signals only trigger on direction state changes: Long when direction flips to +1 Short when direction flips to -1 This matters because it prevents repeated signals while the trend remains intact. You only get a signal when the market has moved enough (in ATR terms) to justify a structural step in the opposite direction. Secondary line and gradient fill The script also plots a secondary “slow MA” (length 25, same MA type). This is not the core logic, it is a visual context layer: StepGMA is the structure line (discrete, regime-driven). Slow MA is a smoother reference for the underlying drift. The gradient fill highlights separation and dominance. When StepGMA sits above the slow MA, the fill reinforces bullish bias. When below, it reinforces bearish bias. It is basically a “trend pressure” visual, not a separate signal. How to interpret it 1) StepGMA as trend structure Flat steps mean price is not making enough volatility-adjusted progress to move structure. Up-steps mean the market has advanced enough to reprice the trend line upward. Down-steps mean deterioration significant enough to reprice structure downward. 2) Direction is a regime, not a tick-by-tick call Because direction is derived from step changes, it is naturally a regime filter: Fewer flips in chop. Clearer regime transitions. Signals tend to occur later than ultra-fast tools, but with better confirmation quality. 3) Step size controls noise rejection StepMult is the main “anti-chop” control: Higher stepMult = bigger ATR steps = fewer updates, fewer signals, more confirmation, slower to react. Lower stepMult = smaller steps = more updates, more signals, more sensitivity, more chop risk. 4) Generalization controls responsiveness of the underlying trend estimate vf controls how “fast” the MA tries to be before stepping: Higher vf makes the MA respond faster to new price information. Lower vf makes the MA smoother and more conservative. The step filter then decides whether that change is meaningful enough to matter. Practical use cases Trend filter for entries Only take longs when direction is bullish. Only take shorts when direction is bearish. Avoid trades when StepGMA is flat for long periods, market is not repricing meaningfully. Dynamic support and resistance Because the line holds levels, it often behaves like structure: In uptrends it can act as a rising support reference. In downtrends it can act as falling resistance. Signal quality layer The step-based flip signals tend to be higher quality than basic MA crossovers because they require: A meaningful volatility-adjusted move. A confirmed direction change in the stepped trend structure. Trade management Use StepGMA as a trailing invalidation reference. Use direction flips as “hard” regime exits. Use separation vs slow MA as a “pressure” gauge for scaling decisions. Tuning guidelines MA Type Pick based on the character you want: T3, ALMA, KAMA are usually good defaults for clean trend representation. HMA/LSMA are faster but may need larger stepMult to avoid twitch. SMA is slow and stable but can be too laggy unless vf is increased. MA Period Sets the base smoothing horizon. Longer periods give “macro trend,” shorter periods give “tactical trend.” Volume Factor (vf) Sets responsiveness compensation: 0.05–0.25 is usually sensible. Higher than that can get aggressive, step filter will save you, but your steps may fire more often. ATR Period and StepMult These define your structure sensitivity: ATR Period controls how stable the volatility estimate is. StepMult controls how large a move must be to change structure. If you want fewer flips, increase StepMult or ATR Period. If you want quicker reaction, lower StepMult or ATR Period. What this indicator is and is not It is: A trend structure MA that ignores sub-threshold noise. A regime tool that uses volatility-adjusted repricing logic. A configurable framework that works across assets and timeframes. It is not: A predictive reversal tool. A scalping signal machine. A replacement for risk management. Summary Step Generalized Moving Average combines a lag-compensated moving average (generalization via MA1/MA2 blending) with a volatility-scaled step filter (ATR-based quantization). The result is a stable, structure-like trend line that updates only when price movement is meaningful relative to volatility, producing cleaner regimes, fewer chop flips, and clearer trend bias than conventional moving averages.
Indicador Pine Script®
por BackQuant
2
White Core Trend [wjdtks255] White Core Trend is a trend-following indicator designed to strip away market noise and visualize the "Core Trend" of price action. It focuses on the essential relationship between price and a dynamic baseline to provide clear trading decisions. White Core Line: Built on a responsive HMA (Hull Moving Average) logic, this line acts as the definitive trend filter. It reacts swiftly to price changes while maintaining a smooth trajectory to reduce false signals. Intuitive Visual Signals: The indicator identifies trend exhaustion and reversal points by plotting triangle labels (▲/▼). These signals help traders maintain discipline and avoid emotional decision-making. Minimalist Design: Optimized for clarity, the indicator eliminates unnecessary clutter like background colors or complex data overlays, keeping the focus strictly on the trend and entry levels. As a core technical tool, this indicator is used to identify the market's direction and establish precise entry/exit benchmarks. 1. Entry Strategy Long Entry: Enter when the price crosses above the White Core Line and a green triangle appears. Short Entry: Enter when the price crosses below the White Core Line and a red triangle appears. Note: Ensure the candle body closes decisively across the line to confirm the signal. 2. Position Management Trend Following: Stay in the trade as long as the price remains on the correct side of the White Core Line. Reference Point: Use the horizontal white "Entry" line as a visual anchor for your current position. 3. Exit & Stop Loss Stop Loss: Exit immediately if the price crosses back over the White Core Line against your position. Take Profit: Secure profits when the price reaches your target or when the trend starts to flatten out (sideways movement) near the core line.
Indicador Pine Script®
por wjdtks255
CopyPipe Trading Dashboard - Multi-Indicator Signal Panel 🚀 CopyPipe Trading Dashboard A **free, all-in-one trading dashboard** that displays key indicators and market information in a clean, easy-to-read panel on your chart. #### ✨ Features: 📊 **Signal Summary Panel** - Overall market bias (Bullish/Bearish/Neutral) - Real-time indicator readings - Current trading session display - Daily high/low levels 📈 **RSI Analysis** - Customizable period (default 14) - Overbought/Oversold detection - Color-coded status 📉 **MACD Tracking** - Standard 12/26/9 settings (customizable) - Bullish/Bearish crossover detection 📏 **Moving Averages** - Fast & Slow MA with trend detection - Choose between SMA or EMA - Visual crossover on chart 🌍 **Trading Sessions** - London, New York, Asia, Sydney - Subtle background highlighting - Know when the big players are active 📐 **Key Levels** - Previous day's high/low - Previous close - Great for support/resistance #### 🔔 Built-in Alert Templates This indicator comes with **pre-configured alert conditions** formatted for webhook automation: - MA Bullish/Bearish Cross - RSI Overbought/Oversold - Strong Confluence Signals (multiple indicators aligned) Alert messages are formatted as **JSON** - perfect for connecting to trading automation platforms. --- #### ⚡ Want to Auto-Execute These Signals? **CopyPipe** connects your TradingView alerts directly to MetaTrader 4/5. ✅ Set up alerts on this indicator ✅ Signals execute automatically in MT4/MT5 ✅ No coding required ✅ Works with any broker **Learn more:** copypipe.io --- #### 📖 How to Use 1. Add the indicator to your chart 2. Customize settings in the indicator panel 3. Position the info panel where you prefer 4. Set up alerts using the built-in conditions 5. (Optional) Connect to CopyPipe for auto-execution #### ⚙️ Settings - **Dashboard Settings:** Panel position, size, visibility - **RSI Settings:** Length, overbought/oversold levels - **MACD Settings:** Fast, slow, signal periods - **Moving Averages:** Type (SMA/EMA), lengths - **Sessions:** Toggle which sessions to highlight - **Key Levels:** Daily high/low, previous close - **Colors:** Customize bullish/bearish colors --- Made with ❤️ by the CopyPipe team copypipe.io
Indicador Pine Script®
por cryptopicasso
Z-Score ProZ-Score Pro - Complete Description This is an **advanced mean reversion indicator** that measures how many standard deviations the current price is from its average. It's ideal for identifying market extremes and trading opportunities. What is the Z-Score? The Z-Score is a statistical measure that answers: **"How far is the price from normal?"** - **Z = 0**: Price is at its average - **Z = +2**: Price is 2 standard deviations above (overbought) - **Z = -2**: Price is 2 standard deviations below (oversold) - **Z > +3** or **Z < -3**: Very rare extremes (occur ~0.3% of the time) Main Features ### 1. **Flexible Calculation** - **SMA or EMA**: Choose between simple or exponential moving average - **Adjustable period**: Default 20 periods - **Smoothing**: Option to smooth the Z-Score to reduce noise ### 2. **Multiple Levels** - **±1.0**: Caution zone - **±2.0**: Overbought/Oversold (68% statistical confidence) - **±3.0**: Rare extremes (99.7% statistical confidence) ### 3. **Trading Signals** The indicator generates automatic signals based on: **Buy Signals (BUY)**: - Z-Score is in oversold zone - Momentum changes from negative to positive (price stops falling) **Sell Signals (SELL)** : - Z-Score is in overbought zone - Momentum changes from positive to negative (price stops rising) **Aggressiveness Levels**: - **Conservative**: Only signals at extremes (±3.0) - **Normal**: Signals at ±2.0 (recommended) - **Aggressive**: More frequent signals at ±1.5 ### 4. **Divergence Detection** **Bullish Divergence** (aqua marker): - Price makes a lower low - Z-Score makes a higher low - Indicates weakening of downtrend **Bearish Divergence** (fuchsia marker): - Price makes a higher high - Z-Score makes a lower high - Indicates weakening of uptrend --- ## Visualization ### Dynamic Colors - **Bright red**: Z-Score > 2 and rising (strong overbought) - **Orange**: Z-Score > 1 and rising - **Purple**: Neutral zone rising - **Transparent green**: Z-Score falling (any level) ### Background Zones - **Intense red**: Extreme overbought (Z > 3) - **Soft orange**: Overbought (Z > 2) - **Intense green**: Extreme oversold (Z < -3) - **Soft lime**: Oversold (Z < -2) ### Info Table (top right corner) Shows in real-time: - **Current Z-Score**: Numeric value with color - **Status**: Extreme OB/OS, Overbought, Oversold, or Neutral - **Momentum**: Rising ↗ or Falling ↘ - **Mean**: Current average value - **Std Dev**: Current standard deviation --- ## Alert System The indicator includes **8 types of alerts**: 1. **Buy Signal**: When entry conditions are met 2. **Sell Signal**: When exit conditions are met 3. **Overbought**: When crossing above +2.0 4. **Oversold**: When crossing below -2.0 5. **Extreme Overbought**: When reaching +3.0 6. **Extreme Oversold**: When reaching -3.0 7. **Bullish Divergence**: Potential reversal up 8. **Bearish Divergence**: Potential reversal down --- ## How to Use It ### **Mean Reversion Strategy** 1. Wait for Z-Score to reach ±2 or beyond 2. Wait for BUY/SELL signal (momentum reversal) 3. Enter trade in opposite direction of extreme 4. Exit when Z-Score returns to zero ### **Divergence Strategy** 1. Identify divergence markers (DIV) 2. Confirm with momentum change 3. Enter in direction of divergence 4. Use Z-Score levels as targets ### **Multi-Timeframe Analysis** - **Short-term** (5-15 min): Scalping with aggressive mode - **Medium-term** (1H-4H): Swing trading with normal mode - **Long-term** (Daily): Position trading with conservative mode --- ## Best Practices **Do**: - Use in ranging/sideways markets - Combine with support/resistance levels - Wait for momentum confirmation - Use conservative mode in trending markets **Don't**: - Trade against strong trends - Ignore divergences - Use alone without confirmation - Over-trade in low volatility --- ## Statistical Background The Z-Score follows a **normal distribution**: - **68%** of values fall within ±1 standard deviation - **95%** of values fall within ±2 standard deviations - **99.7%** of values fall within ±3 standard deviations When price reaches Z = ±2, there's a **95% probability** it will revert toward the mean, making it a powerful mean reversion tool. --- ##Customization Options All aspects are customizable: - Calculation method and periods - Visual colors and transparency - Signal sensitivity - Alert preferences - Level thresholds - Background zones on/off
Indicador Pine Script®
por ONLYORDERFLOW
Gamma Regime Indicator [Eloni] ╔══════════════════════════════════════════════════════════════════════════════════════════════╗ ║ GAMMA REGIME / VWAP FLOW ENGINE ║ ╚══════════════════════════════════════════════════════════════════════════════════════════════╝ ┌──────────────────────┬─────────────────────────────┬────────────────────────────┬──────────────┐ │ MARKET STRUCTURE │ FLOW / SENTIMENT │ VOLATILITY / IV │ POSITION │ ├──────────────────────┼─────────────────────────────┼────────────────────────────┼──────────────┤ │ • VWAP Distance │ • Call / Put / Total Vol │ • VIX / IV Level │ • Hold Bars │ │ • Round Levels │ • Z-Score Normalization │ • IV Slope (Up/Down) │ • Entry ≥ 5 │ │ • Prev Close │ • Flow Hot / Flow Cold │ • ATR Compress / Expand │ • Exit ≤ 2 │ │ • ATR % │ • PCR Ratio & Slope │ • Regime Shift Alert │ • Buffer │ │ • Near / Far Zones │ • Extremes Detection │ • Volatility Cycles │ • Reset │ └──────────────────────┴─────────────────────────────┴────────────────────────────┴──────────────┘ =============================================================================== PINNING REGIME (MEAN REVERSION ZONE) =============================================================================== ┌─────────────┐ ┌──────────────┐ ┌──────────────┐ │ LOCATION │ ----> │ CONFIRM │ ----> │ EXECUTE │ └─────────────┘ └──────────────┘ └──────────────┘ Near VWAP / Level Flow = Cold Fade Extremes Near Prev Close ATR = Compress Sell High / Buy Low IV = Down Scalps / Short DTE PCR = Extreme ------------------------------------------------------------------------------- WHERE ----- - VWAP ± Threshold - Gamma Walls - Round Numbers - Prior Day Close INDICATORS ---------- - VWAP - Volume Z-Score - ATR Percent - PCR - VIX STRATEGIES ---------- - VWAP Fade - Range Scalping - Iron Condors - Credit Spreads - Mean Reversion Options AVOID ----- - Expanding Range - High Volume Breaks - Rising IV - News Events =============================================================================== TREND / BREAKOUT REGIME (MOMENTUM ZONE) =============================================================================== ┌─────────────┐ ┌──────────────┐ ┌──────────────┐ │ LOCATION │ ----> │ CONFIRM │ ----> │ EXECUTE │ └─────────────┘ └──────────────┘ └──────────────┘ Far from VWAP Flow = Hot Buy Pullbacks Outside Range ATR = Expand Break and Retest IV = Rising Ride Momentum PCR = Trending ------------------------------------------------------------------------------- WHERE ----- - Range High / Low - VWAP Break - Value Area Break - Opening Range INDICATORS ---------- - VWAP Bands - Flow Z - ATR Expansion - IV Slope - Volume Profile STRATEGIES ---------- - Opening Range Breakout - Trend Pullbacks - Debit Spreads - Futures Momentum - Directional Options AVOID ----- - Fading Strength - Weak Volume Moves - Flat Volatility - Midday Chop =============================================================================== NO EDGE / BUFFER ZONE =============================================================================== VWAP Reset | Session Open | Post-News | Low Volume - Reduce Size - Observe Only - Wait for Alignment - Capital Preservation =============================================================================== REGIME DECISION MATRIX =============================================================================== ┌──────────────┬──────────────┬──────────────┬──────────────┬──────────────┐ │ STRUCTURE │ FLOW │ IV │ PCR │ REGIME │ ├──────────────┼──────────────┼──────────────┼──────────────┼──────────────┤ │ Near │ Cold │ Down │ Extreme │ Pinning │ │ Far │ Hot │ Up │ Trending │ Trend │ │ Mixed │ Neutral │ Flat │ Neutral │ No Edge │ └──────────────┴──────────────┴──────────────┴──────────────┴──────────────┘ =============================================================================== EXECUTION PLAYBOOK =============================================================================== PIN MODE -------- Entry : VWAP / Level Touch + Flow Cold Stop : VWAP Break + ATR Expansion TP : Mid-Range / Mean Reversion Size : Medium to High TREND MODE ---------- Entry : Pullback to VWAP / EMA Stop : Range Reclaim TP : ATR Trail / Structure Size : Scale In NO EDGE ------- Entry : None Goal : Preservation Focus : Patience =============================================================================== CORE SYSTEM LOGIC =============================================================================== PINNING = Liquidity Absorption -> Mean Reversion -> Sell Volatility TREND = Momentum Expansion -> Directional Flow -> Buy Volatility NO EDGE = Regime Unclear -> Capital Protection
Indicador Pine Script®
por EloniThe
2
CGI - Option Premium Tracker [CE vs PE]## ⚡ CGI - Nifty Option Premium Tracker **"Stop Switching Tabs. Decode the Institutional Battle."** Trading Options in Nifty & BankNifty requires speed and clarity. Retail traders lose money because they look at the Spot Chart, but Big Players manipulate the **Premium Chart**. The **CGI Premium Tracker** solves this. It plots both the **CALL (CE)** and **PUT (PE)** premium charts directly on a single screen, allowing you to spot the real winner in real-time. --- ### 🎯 Key Features (Free Version) #### 1. ⚡ Dual-Chart Technology * Visualize the **CE (Green Candles)** and **PE (Red Candles)** side-by-side. * **The Logic:** If Spot is moving up, but the Call Premium isn't following (Divergence), it's a trap. This tool helps you see that instantly. #### 2. 🐋 Operator Candle Detection * **Blue Candles:** Highlight massive volume spikes (1.5x Average). This usually indicates "Smart Money" entering positions. * **Yellow Candles:** Indicate extreme churn/panic. #### 3. 🛡️ Institutional Anchors (Fresh AVWAP) * Standard VWAP lags. Our **Fresh AVWAP** resets daily or at the first 15-minute close, showing you the *true* intraday average price where institutions defend their positions. #### 4. 🚀 Scalper's EMA * Includes the classic 8-EMA setup. A visual guide to stay in the trend as long as momentum holds. --- ### 🛠️ How to Use This Tool 1. **Select Your Strikes:** Go to settings and simply type the Strike name (e.g., `NIFTY24FEB26000CE`). 2. **Watch the Flow:** When Green Candles (CE) dominate Red Candles (PE) above the Anchors, the trend is real. 3. **Spot the Operator:** Watch for **Blue Candle** breakouts to identify where the momentum is starting. --- ### 🔓 Unlock Institutional Intelligence This is the **Basic Visualization** tool. Our **CGI Titanium Engine** (Invite-Only) is designed for professional analysis, adding: * ✅ **Institutional Flow Ribbon:** Visualizes the dominant trend without the noise. * ✅ **Trap Zone Detection:** Automatically highlights "Judas Swings" and fake-outs. * ✅ **Market Consensus:** Advanced geometry to find high-probability reversal zones. **👉 Check the Author Profile below to join the CGI Community!** 👇 **Drop a BOOST (Like) if this tool improved your screen setup!** 🚀
Indicador Pine Script®
por RaghunanddanBarrve
TSM: Time-Series Momentum & Volatility Targeting [Moskowitz]TSM: Institutional Time-Series Momentum & Volatility Targeting (Moskowitz) SUMMARY TSM is a trend and risk-sizing indicator designed to convert price movement into a risk-adjusted regime signal and a single Recommended Exposure output. It addresses a common trend problem: direction can be correct while sizing is wrong during volatility expansions. Recommended Exposure is a signed value where positive indicates bullish bias and negative indicates bearish bias. The magnitude reflects confidence after the volatility and quality filters are applied. The engine combines volatility-scaled time-series momentum across multiple horizons with optional volatility targeting and an optional efficiency filter to reduce noise sensitivity and improve sizing discipline. WHAT THIS INDICATOR GIVES YOU A risk-adjusted momentum signal that is scaled by realized volatility rather than raw returns, so high-volatility noise is less likely to look like strong trend. An optional volatility targeting layer that mechanically scales Recommended Exposure down when realized volatility rises and up when it falls, capped by Max Leverage. An ensemble approach using fast, medium, and slow horizons with configurable weights, reducing dependence on a single lookback and lowering curve-fitting risk. An optional R-squared efficiency filter that reduces exposure in choppy, low-quality trends, with a floor to avoid over-suppressing exposure. Optional workflow features including a dashboard, trend cloud bands, threshold-based signals with cooldown, and alerts. SCIENTIFIC FOUNDATION (PLAIN ENGLISH) Time-Series Momentum (Moskowitz, Ooi, Pedersen 2012) describes the empirical tendency for an asset’s own past returns to predict its future returns in expectation, distinct from cross-sectional momentum which compares assets to each other. Volatility clustering means markets alternate between calm and violent regimes; many traditional trend tools misread volatility shocks as sustainable trend. This indicator normalizes momentum by realized volatility to express trend significance relative to the regime. Volatility targeting (Harvey et al. 2018) scales exposure inversely to realized volatility to stabilize risk. When volatility rises, recommended exposure is reduced mechanically; when volatility falls, exposure can increase, subject to a max leverage cap. DATA AND SOURCES This indicator uses only the chart symbol’s OHLC data. No external feeds, no COT libraries, and no third-party data sources are required. It supports multi-timeframe calculation. You can compute the signal on the current chart timeframe, or use a fixed timeframe such as Daily to keep volatility math consistent when viewing intraday charts. HOW THE ENGINE WORKS (HIGH LEVEL) Step 1 estimates realized volatility from log returns over a chosen lookback. Step 2 computes a volatility-scaled momentum statistic for three horizons (fast, medium, slow) to measure how meaningful the move is relative to volatility. Step 3 clamps extreme values so outliers do not dominate. Step 4 combines the horizons into a weighted ensemble. Step 5 optionally applies an efficiency filter to reduce exposure in choppy trends. Step 6 optionally applies volatility targeting to scale exposure inversely with realized annualized volatility, capped by Max Leverage. The final output is Recommended Exposure as the combined result of direction, risk scaling, and quality filtering. OUTPUTS AND HOW USERS SHOULD APPLY THEM Recommended Exposure is the primary output. Positive values indicate bullish regime bias, negative values indicate bearish regime bias, and larger magnitude indicates higher risk-adjusted conviction after filters. Typical use is as a position-sizing overlay: keep your own entry method and use Recommended Exposure to decide how aggressive or defensive sizing should be in the current regime. Signals are optional and trigger when Recommended Exposure crosses user-defined thresholds. A cooldown reduces repeated triggers during consolidations, and direction can be restricted to long only, short only, or both. The dashboard is optional and displays realized volatility versus target, ensemble momentum, the efficiency metric, the volatility scalar, the quality multiplier, and final Recommended Exposure, including the fast/medium/slow breakdown. Trend cloud bands are optional and provide range context; they are not the signal and are intended as visual regime support. SETTINGS GUIDE (WHAT MATTERS MOST) Fixed Timeframe mode is recommended for consistent volatility math across chart timeframes; Current Chart mode is more sensitive to the displayed timeframe. Momentum horizons control responsiveness versus stability. Shorter lookbacks react faster but whipsaw more; longer lookbacks are smoother but slower. Weights allow emphasizing fast responsiveness or slow regime confirmation. Volatility targeting turns the tool into a sizing engine by scaling exposure inversely to realized volatility. Target annualized volatility sets the risk budget, and the annualization basis (365 vs 252) aligns conventions for crypto versus traditional markets. Max Leverage caps the scalar in very low-volatility regimes. The efficiency filter reduces exposure in choppy conditions; the floor controls how harshly exposure is reduced. Threshold and cooldown control how selective discrete signals are. LIMITATIONS (IMPORTANT FOR USERS) This is a trend-following framework, so it will lag turning points by design. Sideways markets can still cause whipsaws; cooldown and the efficiency filter may reduce but cannot eliminate this. Volatility targeting can reduce drawdowns during volatility expansions but may reduce participation during sharp V-shaped reversals after volatility increases. The efficiency metric is a practical proxy for trend straightness and can misclassify certain price paths. REFERENCES Moskowitz, T. J., Ooi, Y. H., and Pedersen, L. H. (2012). Time series momentum. Journal of Financial Economics, 104(2), 228-250. Harvey, C. R., Rattray, S., Sinclair, A., and Van Hemert, O. (2018). The impact of volatility targeting. Journal of Portfolio Management, 45(1), 14-33. Hurst, B., Ooi, Y. H., and Pedersen, L. H. (2017). A century of evidence on trend-following investing. Journal of Portfolio Management, 44(1), 15-29. DISCLAIMER Educational and informational purposes only. Not financial advice. Trading involves risk. Past performance is not indicative of future results.
Indicador Pine Script®
por Robinhodl21
ICT Kill Zones PanelICT Kill Zones Panel - Clean & Simple Trading Sessions Indicator A simple, objective indicator to identify ICT Kill Zones with real-time status and smart visual highlighting based on New York timezone. WHAT MAKES IT DIFFERENT: Traditional indicators clutter charts with dozens of colored boxes from past sessions. This tool provides a clean alternative: - Real-time information panel showing current active session - Smart dual-transparency painting: ACTIVE session displays stronger (more visible), historical sessions display softer (less clutter) - Accurate session timing: Only shows active when session is actually happening - Mobile-optimized size for phone trading - Professional interface that doesn't interfere with price action FEATURES: - Real-Time Detection: Panel uses actual NYC time (timenow) to show which session is active NOW - Precise Timing: Sessions activate ONLY during their specific time windows - all zones show inactive outside trading hours - Smart Visual System: Currently active session has stronger background color, past sessions are softer - Color Synchronization: Active session color in panel matches chart background color automatically - Clean Highlighting: Optional background painting with adjustable transparency levels - Full Customization: 9 panel positions, 4 sizes (Mobile/Small/Normal/Large), fully customizable colors - All Sessions: Asian (20:00-01:00), London (02:00-05:00), NY AM (08:00-11:00), London Close (10:00-12:00), NY PM (13:00-16:00) KILL ZONE SCHEDULE (NYC TIME): 1. Asian: 20:00 - 01:00 (5 hours) 2. INACTIVE: 01:00 - 02:00 3. London: 02:00 - 05:00 (3 hours) 4. INACTIVE: 05:00 - 08:00 5. NY AM: 08:00 - 11:00 (3 hours) - overlaps with London Close 6. London Close: 10:00 - 12:00 (2 hours) - overlaps with NY AM 7. INACTIVE: 12:00 - 13:00 8. NY PM: 13:00 - 16:00 (3 hours) 9. INACTIVE: 16:00 - 20:00 During INACTIVE periods, all sessions show as inactive in the panel. COLOR SYSTEM: ALL COLORS ARE FULLY CUSTOMIZABLE: - Each Kill Zone has its own color setting (Asian, London, NY AM, London Close, NY PM) - Default colors shown in screenshots are just examples - Active session in panel: displays with its assigned color (e.g., green for NY AM by default) - Same color appears on chart background with adjustable transparency - Inactive sessions in panel: display with gray (also customizable) - Panel background and text colors: fully customizable - Choose colors that match your chart theme The green color shown for active sessions in examples is the DEFAULT color for NY AM - you can change it to any color you prefer. TRANSPARENCY SYSTEM EXPLAINED: ACTIVE SESSION (happening right now): - Default 70% transparency = STRONGER/MORE VISIBLE background - Instantly shows which Kill Zone is unfolding - Panel row highlights with the session's assigned color - Chart background displays same color stronger HISTORICAL SESSIONS (already passed): - Default 90% transparency = SOFTER/LESS VISIBLE background - Provides context without visual clutter - Panel rows show gray (inactive color) - Both transparency levels fully adjustable in settings MOBILE OPTIMIZED: Select "Mobile" panel size for optimal viewing on phone screens - compact layout perfect for smaller displays. REPAINTING BEHAVIOR: Panel Status & Colors: Update in real-time as sessions change - panel color switches to match the new active session (intentional for current awareness) Active Session Highlighting: Adjusts in real-time to show current session stronger on chart Historical Background Colors: Do NOT repaint - accurately mark when sessions occurred Session Activation: Sessions activate and deactivate precisely at their scheduled times CUSTOMIZATION: - Panel: 9 positions, 4 sizes including Mobile - Colors: Individual customizable color for each Kill Zone - Panel Colors: Customizable background, text, and inactive zone colors - Transparency: Separate controls for active (default 70%) and historical (default 90%) sessions - Toggle: Show/hide individual zones - Chart Painting: On/off HOW TO USE: 1. Add to chart - panel appears top-right 2. Active session displays with its assigned color in panel and stronger on chart 3. Panel shows all zones as inactive during non-trading hours (accurate timing) 4. Panel color automatically changes when new session begins 5. Adjust all colors in settings to match your preferences 6. Adjust transparency settings for optimal visibility 7. Use "Mobile" size for phone trading BEST FOR: - ICT traders timing entries during high-liquidity periods - Smart money concepts (FVG, Order Blocks, Liquidity) - Traders who want clean charts with essential information - Traders needing accurate session timing without false signals - Mobile traders needing compact, clear displays - Traders who want to customize colors to match their chart theme TECHNICAL: - Works on all timeframes - Built with Pine Script v6 - NYC timezone with automatic DST adjustment - Precise hour-based session detection - Lightweight and optimized - Open source FEEDBACK WELCOME: All comments, critiques, and suggestions are welcome! Your input helps improve this tool for the trading community. Created by ivrank13 for traders who value simplicity, accuracy, and clean charts. © 2026 ivrank13. All Rights Reserved. #ICT #KillZones #SmartMoney #ForexSessions #CleanCharts #MobileTrading #CustomColors #AccurateTiming
Indicador Pine Script®
por ivrank13
bezgincan_the power of3( VVM)Universal Alpha Engine: The Power of 3 (VVM) Description: The market is not just about price. You need to see the "fuel" behind the price. Unlike traditional indicators, Universal Alpha Engine combines three different dimensions in a mathematical synthesis: Momentum: Measures the speed of price change using ROC. Fuel (Volume): Checks whether money is actually flowing in or out through Money Flow Index (MFI) integration. Pressure (Volatility): The standard deviation coefficient distinguishes whether the movement is "real" or "noise." Unique Features: Volatility Filter: If volatility is low (market is flat), the oscillator narrows, protecting you from false signals. Color-Coded Histogram: You can see not only the direction but also whether the momentum is increasing or decreasing from the color tones. Alpha Signals: Triangles below the histogram indicate reversal signals in extreme regions. Usage Recommendation: Green triangles below the zero line represent the start of a voluminous and strong recovery. Dark red areas above the 15 level are "fatigue" zones; profit taking may be necessary.
Indicador Pine Script®
por mehmetbezgincan