התחל

ניתוח מגמה

Adaptive For LoopAdaptive For Loop (AFL | MisinkoMaster) The Adaptive For Loop is an innovative trend-following indicator designed to deliver fast and reliable signals while minimizing false positives. By dynamically assessing the relationship between current and historical price data across multiple price components—open, high, low, and close—this tool filters out noise and highlights the strongest trend signals. Unlike traditional indicators that rely on a single price input, Adaptive For Loop harnesses the combined strength of multiple price points, intelligently selecting the most relevant signal to adapt to changing market conditions. This approach helps traders identify genuine trend momentum with clarity and speed. 🔍 Concept & Idea The idea behind Adaptive For Loop is to improve trend detection by simultaneously evaluating multiple price sources instead of just one. Each price component (open, high, low, close) undergoes a scoring process comparing the current price to a series of historical prices within a user-defined lookback range. Since different price points may exhibit varying degrees of noise or trend clarity at different times, the indicator selects the source with the strongest directional signal based on absolute scoring. This adaptive selection reduces noise and enhances signal reliability while maintaining fast responsiveness. ⚙️ How It Works The indicator performs a looped comparison for each price series (open, high, low, close) over a range specified by the user (from start to end bars ago). For each bar in the range, it increments or decrements a score depending on whether the current price is higher or lower than the compared historical price. After scoring all four price sources, the indicator selects the score with the greatest absolute value to represent the dominant market momentum. This dominant score is then evaluated against user-defined upper and lower thresholds to determine the market trend state: Above the upper threshold: bullish/uptrend signal Below the lower threshold: bearish/downtrend signal Between thresholds: neutral/no clear trend The indicator plots the score, thresholds, and highlights the trend visually, including colored candlesticks representing the detected trend. 🧩 Inputs Overview From (start) – Defines the start bar offset for the lookback range in the for loop (default 0). To (end) – Defines the end bar offset for the lookback range in the for loop (default 45). Upper Threshold – Score level above which an uptrend signal is triggered (default 39). Lower Threshold – Score level below which a downtrend signal is triggered (default -12). 📌 Usage Notes Adaptive Selection: The indicator adapts by selecting the price source with the strongest trend signal, reducing false signals caused by noisy individual price inputs. Speed and Noise: Designed for fast execution and minimal noise, making it especially useful in volatile markets such as BTCUSD. Visual Clarity: Colored candlesticks and score plots help traders quickly identify trend direction and strength. Customization: Users can adjust the lookback range and thresholds to fit different assets and timeframes. Complementary Tool: Best used alongside other confirmation indicators and sound risk management practices. Backtesting Recommended: Always backtest and validate settings on historical data to optimize performance for your specific market. ⚠️ Disclaimer This indicator is provided for educational and analytical purposes only and does not constitute financial advice. Trading involves significant risk, and users should perform their own due diligence before making any investment decisions. Enjoy trading with Adaptive For Loop!
אינדיקטור Pine Script®
מאת ‎MisinkoMaster‎
Momentum RSIMomentum RSI (MRSI | MisinkoMaster) Momentum RSI is an enhanced version of the classic Relative Strength Index (RSI) developed by J. Welles Wilder. This indicator integrates momentum components directly into the RSI calculation, resulting in a faster, smoother oscillator that helps traders identify trend strength and value zones with greater precision. Unlike the traditional RSI, which relies on a fixed smoothing approach, the Momentum RSI dynamically incorporates momentum derived from differences between moving averages of RSI values over different lookback periods. This improves signal responsiveness while reducing noise, providing clearer insights for both trend-following and mean-reversion trading strategies. 🔍 Concept & Idea Momentum RSI aims to improve the original RSI by adding momentum elements that speed up its reaction to price changes without sacrificing smoothness. This hybrid approach helps: Capture early signals in trending markets Reduce false signals during sideways or choppy conditions Highlight overbought and oversold zones more effectively Provide additional momentum context for more informed trading decisions By combining RSI with momentum derived from moving average differences, the indicator balances sensitivity and stability for a versatile application across different asset classes and timeframes. ⚙️ How It Works The Momentum RSI calculation involves several key steps: Standard RSI Calculation: The indicator first calculates the classic RSI using user-defined length and smoothing parameters. Users can customize the RSI source price and the smoothing moving average (MA) type applied (options include RMA, SMA, EMA, WMA, DEMA, TEMA, HMA, ALMA). Momentum Derivation: Two versions of the RSI are computed with different smoothing lengths—a base RSI and a longer smoothed RSI. The difference between their moving averages represents a momentum component that measures the short-term trend strength. Additional Momentum: The difference between shorter-length and longer-length RSI calculations adds another momentum layer, reflecting momentum shifts over different timescales. Momentum Integration: These momentum components are combined and added to the previous RSI value, resulting in a momentum-enhanced RSI value (mrsi) that oscillates between 0 and 100. Trend Detection: Customizable upper and lower thresholds define long and short signal zones, allowing users to interpret when the market is trending bullish or bearish. Overbought/Oversold Zones: Additional thresholds highlight extreme value zones for potential mean-reversion trades. 🧩 Inputs Overview RSI Length - Controls the primary RSI calculation length (default 20). Source - Selects the price source for the RSI calculation (default: close). Smoothing Length - Length used to smooth RSI values with the chosen MA type (default 12). MA Type - Moving average method used for smoothing (options: RMA, SMA, EMA, WMA, DEMA, TEMA, HMA, ALMA). ALMA Offset - Offset parameter for ALMA smoothing (applicable only if ALMA is selected). ALMA Sigma - Sigma parameter for ALMA smoothing (applicable only if ALMA is selected). Upper Threshold - RSI level above which a bullish (long) signal is triggered (default 55). Lower Threshold - RSI level below which a bearish (short) signal is triggered (default 45). Overbought Threshold - RSI level indicating overbought conditions (default 85). Oversold Threshold - RSI level indicating oversold conditions (default 15). 📌 Usage Notes Versatile Application: Use Momentum RSI for both trend-following and mean-reversion strategies. Signal Clarity: The momentum integration reduces noise, helping avoid false breakouts and improving entry timing. Customization: Adjust smoothing lengths and MA types to match the characteristics of your trading style or the specific asset. Visual Aids: Background colors, candle coloring, and shape markers facilitate quick interpretation of momentum strength and trend changes. Threshold Sensitivity: Fine-tune thresholds to balance between early signals and signal reliability. Intrabar Updates: Signals may update on lower timeframes for responsive trading. Combine with Other Tools: For best results, use Momentum RSI alongside volume, price action, or other confirmation indicators. Backtest Before Live Trading: Always validate settings on historical data to ensure suitability for your trading instrument and timeframe. ⚠️ Disclaimer This script is intended for educational and analytical purposes only and does not constitute financial advice. Trading involves risk, and users should perform their own due diligence before making any trading decisions.
אינדיקטור Pine Script®
מאת ‎MisinkoMaster‎
Adaptive Moving AverageAdaptive Moving Average The Adaptive Moving Average (AMA) dynamically adjusts to market conditions, selecting the most responsive behavior while filtering noise to provide clearer trend guidance. 🚀 Why It’s Unique • Exclusive adaptive logic unique to this script • High speed with reduced noise • Strong performance on volatile assets such as SOLUSD and CROUSD • Highly customizable moving average combinations • Multi-layer processing for improved accuracy • Color-changing plots and reversal highlights for quick interpretation 💡 Core Idea The indicator blends multiple user-selected moving averages and dynamically emphasizes the one best suited to current market conditions. This preserves responsiveness during strong moves while filtering weak or noisy signals. ⚙️ How It Works Three user-selected moving averages are calculated using the same base length. A first adaptation layer weights the averages based on their rate of change responsiveness. A second rate-of-change filter measures market conditions to suppress signals during unstable environments. The final adaptive average changes behavior depending on market speed and direction. The result is a moving average that reacts quickly during trends while remaining stable during choppy periods. 📌 Usage Notes • Color changes indicate shifts in trend direction. • Highlighted diamonds mark reversal events. • Higher adaptation thresholds reduce signals but increase reliability. • Lower thresholds increase responsiveness for faster trading styles. 🧭 Conclusion The Adaptive Moving Average continuously adjusts its behavior to reduce false signals while maintaining speed and responsiveness. It offers a versatile tool for traders seeking clearer market structure and improved strategy execution.
אינדיקטור Pine Script®
מאת ‎MisinkoMaster‎
MACD Standard DeviationMACD Standard Deviation The MACD Standard Deviation is a smoother, volatility-adjusted version of MACD designed to improve signal quality and reduce noise while preserving fast market responsiveness. 🚀 Benefits • Strong performance on assets like BNBUSDT • Faster entries with reduced signal noise • Simple and efficient calculation method • Improved trend clarity compared to classic MACD 💡 Core Idea The objective is to create a cleaner MACD signal by measuring and adapting to its volatility. By accounting for dispersion, the indicator filters weak fluctuations and keeps meaningful momentum moves. ⚙️ How It Works A standard MACD is calculated using selected moving averages. Standard deviation of the MACD is computed over a chosen period. Upper and lower dynamic levels are derived from MACD median and volatility. These adaptive bands help filter false signals and better capture trend direction. The result is a smoother, more stable MACD-based trend tool. 📌 Usage Notes • Crosses around the zero line indicate potential trend shifts. • Expanding band distance suggests rising momentum volatility. • Contracting distance often signals consolidation phases. • Histogram changes help visualize acceleration or weakening momentum.
אינדיקטור Pine Script®
מאת ‎MisinkoMaster‎
Volatility Smoothed Moving Average BandVolatility Smoothed Moving Average Bands The Volatility Smoothed Moving Average Bands are volatility-based bands that combine multiple measurements to provide a robust and accurate view of market trend and direction. 🚀 Benefits • Reduced noise through multi-source averaging • Fast response to market changes • Strong performance on volatile assets, especially altcoins (notably CROUSD) 💡 Core Idea The goal is to generate accurate and robust signals by averaging multiple components without requiring additional historical data. The method extracts more information from the same data, improving stability and responsiveness simultaneously. ⚙️ How It Works A fast and a slow moving average are calculated. Multiple intermediate values are derived and averaged to build a highly stable center line. Differences between all components are averaged to estimate volatility. This volatility is added and subtracted from the center line to form dynamic upper and lower bands. The result is adaptive bands that track market structure with high accuracy and reduced lag. 📌 Usage Notes • Best suited for trend detection and dynamic support/resistance. • Bands expanding → volatility increasing. • Bands contracting → market compression or consolidation. • Crosses above/below bands often signal strong directional shifts. Enjoy and trade smart.
אינדיקטור Pine Script®
מאת ‎MisinkoMaster‎
Moving Average Divergence BandsMoving Average Divergence Bands Moving Average Divergence Bands (MADB) is a trend-following overlay indicator designed to capture fast-moving trends while filtering out low-quality signals. It was developed with highly volatile markets in mind, particularly altcoins, where rapid entries are important but false breakouts are common. The indicator builds adaptive price bands using two moving averages of different speeds and applies a statistical filter to allow signals only when market conditions show sufficient momentum. The result is a structure that attempts to combine fast reaction with controlled signal quality. 🚀 Core Idea The objective of MADB is to create bands that respond quickly to market moves while avoiding entries during low-probability conditions. This is achieved by combining fast and slower moving averages and activating signals only when price movement shows statistically meaningful deviation from its recent norm. In this way, entries tend to occur during periods with higher potential reward and reduced noise. 🔍 How It Works The indicator calculates two moving averages: • A primary moving average using the chosen length • A secondary moving average using half of that length Both averages are mathematically combined using exponent-based transformations, producing two divergence-based values. The higher value becomes the upper band, and the lower value becomes the lower band. To filter signals, the script then computes a Z-score of price relative to its recent average. A trend switch occurs only when: • Price breaks above or below the adaptive band, and • The absolute Z-score exceeds the user-defined threshold. This ensures signals occur only when price movement is statistically significant, reducing entries during low-volatility noise. ⚙️ Key Features • Fast trend-following bands optimized for volatile markets • Dual moving-average divergence construction • Z-score filtering to reduce false signals • Multiple moving-average types supported • Adjustable statistical sensitivity • Visual band and trend coloring styles 🧩 Inputs Overview • Moving-average length and source • Moving-average type selection • Z-score calculation length • Z-score activation threshold • Visual style presets for band coloring 📌 Usage Notes • Designed to identify strong market moves while filtering weak breakouts. • Particularly suited for volatile markets and altcoin trading environments. • Band breaks without sufficient Z-score strength will not trigger signals. • Signals may change intrabar on lower timeframes. • Best used alongside risk management and confirmation tools. • No indicator eliminates risk; testing and validation are always recommended. This script is intended for analytical use only and does not constitute financial advice.
אינדיקטור Pine Script®
מאת ‎MisinkoMaster‎
Adaptive RSIAdaptive RSI Adaptive RSI is an enhanced version of the classic Relative Strength Index designed to automatically adjust its behavior to changing market conditions. The indicator can operate both as a mean-reversion oscillator and as a trend-following momentum tool, allowing traders to detect high/low value zones while also capturing directional moves. Unlike the traditional RSI, which uses a fixed smoothing method, Adaptive RSI dynamically changes its calculation speed depending on market activity. This helps reduce false signals in slow or choppy markets while allowing faster responses during strong moves. 🔍 Concept & Idea The goal behind Adaptive RSI is to make RSI responsive when opportunities appear and more conservative during uncertain or low-activity environments. By automatically adjusting its internal smoothing and reaction speed, the indicator attempts to balance: • Early entries during strong market moves • Reduced noise during consolidation • Mean-reversion opportunities in ranging markets • Momentum confirmation in trending markets This adaptive behavior makes the oscillator more versatile across multiple market conditions. ⚙️ How It Works The indicator evaluates market activity using three drivers: • True Range (volatility) • Volume activity • Rate of price change Users can define which of these factors has priority. The script then checks up to three conditions; the more conditions that are satisfied, the faster and more responsive the RSI calculation becomes. This creates multiple internal speed tiers ranging from smooth and conservative to highly responsive. After the adaptive RSI is calculated, an additional adaptive smoothing layer is applied using the same logic, improving signal clarity while preserving responsiveness. An optional feature allows the RSI to use a special Rate-of-Change weighted price source. This feature is more advanced and mainly intended for users who understand how weighted price construction affects oscillators. A divergence measure between the base RSI and the smoothed Adaptive RSI is also plotted to help visualize shifts in momentum strength. ⚙️ Key Features • Adaptive RSI calculation speed • Works for both trend-following and mean-reversion approaches • Adjustable long and short signal thresholds • Overbought and oversold zone highlighting • Divergence histogram between RSI and adaptive smoothing • Trend-based coloring and visual signal markers • Optional ROC-weighted source for advanced users 🧩 Inputs Overview • RSI calculation length and smoothing length • Price source selection or optional special weighted source • Speed tier selection (slow, medium, fast behavior) • Activity priority order (volatility, volume, momentum) • Long/short and overbought/oversold thresholds 📌 Usage Notes • Can be used both for trend continuation and mean-reversion strategies. • Adaptive logic helps reduce noise during sideways markets. • Strong moves may cause faster RSI transitions due to adaptive speed selection. • Signals may update intrabar on lower timeframes. • Works best when combined with risk management and confirmation tools. • No indicator is perfect; always test before live use. This script is intended for analytical purposes only and does not provide financial advice.
אינדיקטור Pine Script®
מאת ‎MisinkoMaster‎
Multiple Factor Adaptive MA SuperTrendMultiple Factor Adaptive MA SuperTrend Multiple Factor Adaptive MA SuperTrend is an enhanced trend-following overlay that builds on the classical SuperTrend concept by introducing an adaptive moving-average base. The indicator dynamically adjusts to changing market conditions to produce smoother and faster trend signals, helping traders better track directional moves while reducing unnecessary noise. Instead of relying on a fixed moving-average base, the indicator updates its baseline only when market conditions justify it. This creates a stabilizing effect during consolidation while allowing quicker reactions when volatility, momentum, or activity increases. 🔍 How It Works The indicator combines: • A user-selectable Moving Average as the core trend base • ATR-based volatility bands to detect trend transitions • An adaptive filter that determines when the base should update The adaptive mechanism evaluates market conditions using one of several selectable drivers: • ATR expansion (volatility increase) • Rate-of-change acceleration • Rising trading volume • Increasing divergence between price and the moving average If the chosen condition signals increased activity or market change, the moving-average base updates normally. Otherwise, the previous base value is retained, effectively smoothing the trend structure and filtering minor fluctuations. Volatility bands are then calculated around this adaptive base using ATR multiplied by a configurable factor. Trend changes occur when price crosses these bands. When price breaks above the upper band, a bullish trend is activated and the lower band becomes the trailing support. When price breaks below the lower band, a bearish trend is activated and the upper band acts as trailing resistance. ⚙️ Key Features • Adaptive moving-average baseline • Multiple MA types including SMA, EMA, WMA, HMA, VWMA, DEMA, TEMA, and EWMA • ATR-based volatility bands • Multiple adaptation modes (volatility, momentum, volume, divergence) • Reduced noise during consolidation phases • Smooth trend visualization and transition markers 🧩 Inputs Overview • Moving-average type and length • Price source selection • ATR length and multiplier • Adaptive filter method selection 📌 Usage Notes • Useful for identifying prevailing market direction and trend shifts. • Adaptive filtering can help reduce false signals during sideways markets. • Signals may update intrabar on lower timeframes. • Best results are achieved when combined with confirmation tools or risk management rules. • This script is intended for analytical purposes and does not provide financial advice.
אינדיקטור Pine Script®
מאת ‎MisinkoMaster‎
Luminous Trend Wave [Pineify]``` Luminous Trend Wave - Hull MA Based Normalized Momentum Oscillator The Luminous Trend Wave (Pineify) is a momentum oscillator designed to provide clear, responsive trend signals while minimizing the lag commonly associated with traditional momentum indicators. By combining Hull Moving Average (HMA) calculations with ATR-based normalization and hyperbolic tangent transformation, LTW delivers a bounded oscillator that works consistently across different assets and timeframes. Key Features Hull Moving Average foundation for reduced lag trend detection ATR normalization for universal applicability across all markets Bounded output range (-100 to +100) using mathematical tanh transformation Dynamic gradient coloring that reflects momentum intensity Built-in signal line for momentum confirmation Automatic alerts for trend reversals and momentum shifts How It Works The indicator operates through a four-stage calculation process: Trend Basis Calculation: The indicator first calculates a Hull Moving Average (HMA) of the closing price. HMA was chosen specifically because it provides significantly less lag compared to Simple or Exponential Moving Averages while maintaining smoothness. This allows the oscillator to respond quickly to genuine price movements. Distance Measurement: The raw distance between the current close price and the HMA trend line is calculated. This distance represents how far price has deviated from its smoothed trend. ATR Normalization: The distance is then divided by the Average True Range (ATR) over the same lookback period. This normalization step is crucial - it makes the oscillator readings comparable across different assets regardless of their price levels or typical volatility. A stock trading at $500 and one at $5 will produce equivalent readings when their relative movements are similar. Tanh Transformation: Finally, the normalized value is passed through a hyperbolic tangent function scaled by a sensitivity multiplier. The mathematical formula (e^2x - 1) / (e^2x + 1) naturally bounds the output between -100 and +100, preventing extreme spikes while preserving the directional information. Trading Ideas and Insights Zero Line Crossovers: When the oscillator crosses above zero, it indicates a shift from bearish to bullish momentum. Conversely, crossing below zero signals bearish momentum. These crossovers can be used as entry triggers when confirmed by other analysis. Overbought/Oversold Levels: Readings above +80 suggest overbought conditions where price has extended significantly above its trend. Readings below -80 indicate oversold conditions. These extremes often precede mean reversion moves. Signal Line Divergence: When the main oscillator (histogram) is above the signal line, momentum is increasing. When below, momentum is decreasing. This relationship helps identify the strength of the current move. Momentum Fading: The indicator automatically fades the color intensity when the oscillator value is closer to the signal line than to the extremes, visually indicating weakening momentum before potential reversals. How Multiple Indicators Work Together LTW integrates three distinct technical concepts into a cohesive system: Hull MA + ATR Integration: The Hull Moving Average provides the trend direction while ATR provides the volatility context. Together, they answer not just "where is the trend?" but "how significant is the current deviation relative to normal market movement?" Mathematical Bounding + Visual Mapping: The tanh transformation ensures readings stay within predictable bounds, while the gradient coloring maps these bounded values to intuitive visual feedback. Strong bullish readings appear in bright green, strong bearish in bright red, with smooth transitions between. Oscillator + Signal Line System: Similar to MACD's relationship between the MACD line and signal line, LTW uses a WMA-smoothed signal line to filter noise and confirm momentum direction. The interplay between the faster oscillator and slower signal creates actionable crossover signals. Unique Aspects Universal Normalization: Unlike many oscillators that produce different reading ranges on different assets, LTW's ATR normalization ensures consistent interpretation whether trading forex, crypto, stocks, or commodities. Sensitivity Control: The sensitivity parameter allows traders to adjust how aggressively the oscillator responds to price changes. Higher values make it more responsive (useful for scalping), while lower values smooth out noise (better for swing trading). Visual Momentum Feedback: The gradient coloring and transparency adjustments provide immediate visual feedback about trend strength without requiring traders to interpret numerical values. How to Use Add the indicator to your chart - it displays in a separate pane below price. Watch for zero line crossovers as primary trend signals. Bullish when crossing above, bearish when crossing below. Use the ±80 levels as caution zones where reversals become more likely. Monitor the relationship between the histogram and signal line - histogram above signal indicates strengthening momentum. Pay attention to color intensity - faded colors indicate weakening momentum and potential reversal zones. Set alerts for automated notifications on trend changes and momentum shifts. Customization Trend Lookback (default: 21): Controls the HMA period. Lower values increase responsiveness but may generate more false signals. Higher values provide smoother trends but with more lag. Signal Smoothing (default: 5): Adjusts the WMA period for the signal line. Higher values create a slower signal line with fewer crossovers. Sensitivity (default: 1.5): Multiplier for the tanh transformation. Increase for more reactive signals, decrease for smoother readings. Colors: Fully customizable bullish and bearish colors to match your chart theme. Gradients: Toggle gradient coloring on/off based on preference. Conclusion The Luminous Trend Wave indicator offers traders a mathematically sound approach to momentum analysis. By combining the low-lag properties of Hull Moving Average with ATR-based normalization and bounded output transformation, LTW provides consistent, interpretable signals across any market. The visual feedback system makes trend strength immediately apparent, while the signal line crossovers offer clear entry and exit timing. Whether used as a standalone tool or combined with price action analysis, LTW helps traders identify trend direction, momentum strength, and potential reversal zones with clarity. ```
אינדיקטור Pine Script®
מאת ‎Pineify‎
Seasonality (Prev Month Close Expected)Seasonality Indicator This indicator shows how an asset has historically behaved during each calendar month. It highlights the typical price direction and strength for the current month based on long-term seasonal patterns. The projected zone on the chart represents the average historical outcome for the ongoing month, allowing traders to quickly see whether current price action is developing in line with, above, or below its usual seasonal behavior. A heatmap summarizes monthly performance across years, making recurring strong and weak periods easy to identify. Vladimir Popdimitrov
אינדיקטור Pine Script®
מאת ‎Market_Atlas‎
Cross-Market Regime Scanner [BOSWaves]Cross-Market Regime Scanner - Multi-Asset ADX Positioning with Correlation Network Visualization Overview Cross-Market Regime Scanner is a multi-asset regime monitoring system that maps directional strength and trend intensity across correlated instruments through ADX-based coordinate positioning, where asset locations dynamically reflect their current trending versus ranging state and bullish versus bearish bias. Instead of relying on isolated single-asset trend analysis or static correlation matrices, regime classification, spatial positioning, and intermarket relationship strength are determined through ADX directional movement calculation, percentile-normalized coordinate mapping, and rolling correlation network construction. This creates dynamic regime boundaries that reflect actual cross-market momentum patterns rather than arbitrary single-instrument levels - visualizing trending assets in right quadrants when ADX strength exceeds thresholds, positioning ranging assets in left quadrants during consolidation, and incorporating correlation web topology to reveal which instruments move together or diverge during regime transitions. Assets are therefore evaluated relative to ADX-derived regime coordinates and correlation network position rather than conventional isolated technical indicators. Conceptual Framework Cross-Market Regime Scanner is founded on the principle that meaningful market insights emerge from simultaneous multi-asset regime awareness rather than sequential single-instrument analysis. Traditional trend analysis examines assets individually using separate chart windows, which often obscures the broader cross-market regime structure and correlation patterns that drive coordinated moves. This framework replaces isolated-instrument logic with unified spatial positioning informed by actual ADX directional measurements and correlation relationships. Three core principles guide the design: Asset positioning should be determined by ADX-based regime coordinates that reflect trending versus ranging state and directional bias simultaneously. Spatial mapping must normalize ADX values to place assets within consistent quadrant boundaries regardless of instrument volatility characteristics. Correlation network visualization reveals which assets exhibit coordinated behavior versus divergent regime patterns during market transitions. This shifts regime analysis from isolated single-chart monitoring into unified multi-asset spatial awareness with correlation context. Theoretical Foundation The indicator combines ADX directional movement calculation, coordinate normalization methodology, quadrant-based regime classification, and rolling correlation network construction. A Wilder's smoothing implementation calculates ADX, +DI, and -DI for each monitored asset using True Range and directional movement components. The ADX value relative to a configurable threshold determines X-axis positioning (ranging versus trending), while the difference between +DI and -DI determines Y-axis positioning (bearish versus bullish). Coordinate normalization caps values within fixed boundaries for consistent quadrant placement. Pairwise correlation calculations over rolling windows populate a network graph where line thickness and opacity reflect correlation strength. Five internal systems operate in tandem: Multi-Asset ADX Engine : Computes smoothed ADX, +DI, and -DI values for up to 8 configurable instruments using Wilder's directional movement methodology. Coordinate Transformation System : Converts ADX strength and directional movement into normalized X/Y coordinates with threshold-relative scaling and boundary capping. Quadrant Classification Logic : Maps coordinate positions to four distinct regime states—Trending Bullish, Trending Bearish, Ranging Bullish, Ranging Bearish—with color-coded zones. Historical Trail Rendering : Maintains rolling position history for each asset, drawing gradient-faded trails that visualize recent regime trajectory and velocity. Correlation Network Calculator : Computes pairwise return correlations across all enabled assets, rendering weighted connection lines in circular web topology with strength-based styling. This design allows simultaneous cross-market regime awareness rather than reacting sequentially to individual instrument signals. How It Works Cross-Market Regime Scanner evaluates markets through a sequence of multi-asset spatial processes: Data Request Processing : Security function retrieves high, low, and close values for up to 8 configurable symbols with lookahead offset to ensure confirmed bar data. ADX Calculation Per Asset : True Range computed from high-low-close relationships, directional movement derived from up-moves versus down-moves, smoothed via Wilder's method over configurable period. Directional Index Derivation : +DI and -DI calculated as smoothed directional movement divided by smoothed True Range, scaled to percentage values. Coordinate Transformation : X-axis position equals (ADX - threshold) * 2, capped between -50 and +50; Y-axis position equals (+DI - -DI), capped between -50 and +50. Quadrant Assignment : Positive X indicates trending (ADX > threshold), negative X indicates ranging; positive Y indicates bullish (+DI > -DI), negative Y indicates bearish. Trail History Management : Configurable-length position history maintains recent coordinates for each asset, rendering gradient-faded lines connecting sequential positions. Velocity Vector Calculation : 7-bar coordinate change converted to directional arrow overlays showing regime momentum and trajectory. Return Correlation Processing : Bar-over-bar returns calculated for each asset, pairwise correlations computed over rolling window. Network Graph Construction : Assets positioned in circular topology, correlation lines drawn between pairs exceeding threshold with thickness/opacity scaled by correlation strength, positive correlations solid green, negative correlations dashed red. Risk Regime Scoring : Composite score aggregates bullish risk-on assets (equities, crypto, commodities) minus bullish risk-off assets (gold, dollar, VIX), generating overall market risk sentiment with colored candle overlay. Together, these elements form a continuously updating spatial regime framework anchored in multi-asset momentum reality and correlation structure. Interpretation Cross-Market Regime Scanner should be interpreted as unified spatial regime boundaries with correlation context: Top-Right Quadrant (TREND ▲) : Assets positioned here exhibit ADX above threshold with +DI exceeding -DI - confirmed bullish trending conditions with directional conviction. Bottom-Right Quadrant (TREND ▼) : Assets positioned here exhibit ADX above threshold with -DI exceeding +DI - confirmed bearish trending conditions with directional conviction. Top-Left Quadrant (RANGE ▲) : Assets positioned here exhibit ADX below threshold with +DI exceeding -DI - ranging consolidation with bullish bias but insufficient trend strength. Bottom-Left Quadrant (RANGE ▼) : Assets positioned here exhibit ADX below threshold with -DI exceeding +DI - ranging consolidation with bearish bias but insufficient trend strength. Position Trails : Gradient-faded lines connecting recent coordinate history reveal regime trajectory - curved paths indicate regime rotation, straight paths indicate sustained directional conviction. Velocity Arrows : Directional vectors overlaid on current positions show 7-bar regime momentum - arrow length indicates speed of regime change, angle indicates trajectory direction. Correlation Web : Circular network graph positioned left of main quadrant map displays pairwise asset relationships - solid green lines indicate positive correlation (moving together), dashed red lines indicate negative correlation (diverging moves), line thickness reflects correlation strength magnitude. Asset Dots : Multi-layer glow effects with color-coded markers identify each asset on both quadrant map and correlation web-symbol labels positioned adjacent to current location. Regime Summary Bar : Vertical boxes on right edge display condensed regime state for each enabled asset - box background color reflects quadrant classification, border color matches asset identifier. Risk Regime Candles : Overlay candles on price chart colored by composite risk score - green indicates risk-on dominance (bullish equities/crypto exceeding bullish safe-havens), red indicates risk-off dominance (bullish gold/dollar/VIX exceeding bullish risk assets), gray indicates neutral balance. Quadrant positioning, trail trajectory, correlation network topology, and velocity vectors outweigh isolated single-asset readings. Signal Logic & Visual Cues Cross-Market Regime Scanner presents spatial positioning insights rather than discrete entry signals: Regime Clustering : Multiple assets congregating in same quadrant suggests broad market regime consensus - all assets in TREND ▲ indicates coordinated bullish momentum across instruments. Regime Divergence : Assets splitting across opposing quadrants reveals intermarket disagreement - equities in TREND ▲ while safe-havens in TREND ▼ suggests healthy risk-on environment. Quadrant Transitions : Assets crossing quadrant boundaries mark regime shifts - movement from left (ranging) to right (trending) indicates breakout from consolidation into directional phase. Trail Curvature Patterns : Sharp curves in position trails signal rapid regime rotation, straight trails indicate sustained directional conviction, loops indicate regime uncertainty with back-and-forth oscillation. Velocity Acceleration : Long arrows indicate rapid regime change momentum, short arrows indicate stable regime persistence, arrow direction reveals whether asset moving toward trending or ranging state. Correlation Breakdown Events : Previously strong correlation lines (thick, opaque) suddenly thinning or disappearing indicates relationship decoupling - often precedes major regime transitions. Correlation Inversion Signals : Assets shifting from positive correlation (solid green) to negative correlation (dashed red) marks structural market regime change - historically correlated assets beginning to diverge. Risk Score Extremes : Composite score reaching maximum positive (all risk-on bullish, all risk-off bearish) or maximum negative (all risk-on bearish, all risk-off bullish) marks regime conviction extremes. The primary value lies in simultaneous multi-asset regime awareness and correlation pattern recognition rather than isolated timing signals. Strategy Integration Cross-Market Regime Scanner fits within macro-aware and intermarket analysis approaches: Regime-Filtered Entries : Use quadrant positioning as directional filter for primary trading instrument - favor long setups when asset in TREND ▲ quadrant, short setups in TREND ▼ quadrant. Correlation Confluence Trading : Enter positions when target asset and correlated instruments occupy same quadrant - multiple assets in TREND ▲ provides conviction for long exposure. Divergence-Based Reversal Anticipation : Monitor for regime divergence between correlated assets - if historically aligned instruments split to opposite quadrants, anticipate mean-reversion or regime rotation. Breakout Confirmation via Cross-Asset Validation : Confirm primary instrument breakouts by verifying correlated assets simultaneously transitioning from ranging to trending quadrants. Risk-On/Risk-Off Positioning : Use composite risk score and safe-haven positioning to determine overall market environment - scale risk exposure based on risk regime dominance. Velocity-Based Timing : Enter during periods of high regime velocity (long arrows) when momentum carries assets decisively into new quadrants, avoid entries during low velocity regime uncertainty. Multi-Timeframe Regime Alignment : Apply higher-timeframe regime scanner to establish macro context, use lower-timeframe price action for entry timing within aligned regime structure. Correlation Web Pattern Recognition : Identify regime transitions early by monitoring correlation network topology changes - previously disconnected assets forming strong correlations suggests regime coalescence. Technical Implementation Details Core Engine : Wilder's smoothing-based ADX calculation with separate True Range and directional movement tracking per asset Coordinate Model : Threshold-relative X-axis scaling (trending versus ranging) with directional movement differential Y-axis (bullish versus bearish) Normalization System : Boundary capping at ±50 for consistent spatial positioning regardless of instrument volatility Trail Rendering : Rolling array-based position history with gradient alpha decay and width tapering Correlation Engine : Return-based pairwise correlation calculation over rolling window with configurable lookback Network Visualization : Circular topology with trigonometric positioning, weighted line rendering based on correlation magnitude Risk Scoring : Composite calculation aggregating directional states across classified risk-on and risk-off asset categories Performance Profile : Optimized for 8 simultaneous security requests with efficient array management and conditional rendering Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Micro-regime monitoring for intraday correlation shifts and short-term regime rotations 15 - 60 min : Intraday regime structure with meaningful ADX development and correlation stability 4H - Daily : Swing and position-level macro regime identification with sustained trend classification Weekly - Monthly : Long-term regime cycle tracking with structural correlation pattern evolution Suggested Baseline Configuration: ADX Period : 14 ADX Smoothing : 14 Trend Threshold : 25.0 Trail Length : 15 Correlation Period : 50 Min |Correlation| to Show Line : 0.3 Web Radius : 30 Show Quadrant Colors : Enabled Show Regime Summary Bar : Enabled Show Velocity Arrows : Enabled Show Correlation Web : Enabled These suggested parameters should be used as a baseline; their effectiveness depends on the selected assets' volatility profiles, correlation characteristics, and preferred spatial sensitivity, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Assets clustering too tightly : Decrease Trend Threshold (e.g., 20) to spread ranging/trending separation, or increase ADX Period for smoother ADX calculation reducing noise. Assets spreading too widely : Increase Trend Threshold (e.g., 30-35) to demand stronger ADX confirmation before classifying as trending, tightening quadrant boundaries. Trail too short to show trajectory : Increase Trail Length (20-25) to visualize longer regime history, revealing sustained directional patterns. Trail too cluttered : Decrease Trail Length (8-12) for cleaner visualization focusing on recent regime state, reducing visual complexity. Unstable ADX readings : Increase ADX Period and ADX Smoothing (18-21) for heavier smoothing reducing bar-to-bar regime oscillation. Sluggish regime detection : Decrease ADX Period (10-12) for faster response to directional changes, accepting increased sensitivity to noise. Too many correlation lines : Increase Min |Correlation| threshold (0.4-0.6) to display only strongest relationships, decluttering network visualization. Missing significant correlations : Decrease Min |Correlation| threshold (0.2-0.25) to reveal weaker but potentially meaningful relationships. Correlation too volatile : Increase Correlation Period (75-100) for more stable correlation measurements, reducing network line flickering. Correlation too stale : Decrease Correlation Period (30-40) to emphasize recent correlation patterns, capturing regime-dependent relationship changes. Velocity arrows too sensitive : Modify 7-bar lookback in code to longer period (10-14) for smoother velocity representation, or increase magnitude threshold for arrow display. Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions. Performance Characteristics High Effectiveness: Macro-aware trading approaches requiring cross-market regime context for directional bias Intermarket analysis strategies monitoring correlation breakdowns and regime divergences Portfolio construction decisions requiring simultaneous multi-asset regime classification Risk management frameworks using safe-haven positioning and risk-on/risk-off scoring Trend-following systems benefiting from cross-asset regime confirmation before entry Mean-reversion strategies identifying regime extremes via clustering patterns and correlation stress Reduced Effectiveness: Single-asset focused strategies not incorporating cross-market context in decision logic High-frequency trading approaches where multi-security request latency impacts execution Markets with consistently weak correlations where network topology provides limited insight Extremely low volatility environments where ADX remains persistently below threshold for all assets Instruments with erratic or unreliable ADX characteristics producing unstable coordinate positioning Integration Guidelines Confluence : Combine with BOSWaves structure, volume analysis, or primary instrument technical indicators for entry timing within aligned regime Quadrant Respect : Trust signals occurring when primary trading asset occupies appropriate quadrant for intended trade direction Correlation Context : Prioritize setups where target asset exhibits strong correlation with instruments in same regime quadrant Divergence Awareness : Monitor for safe-haven assets moving opposite to risk assets - regime divergence validates directional conviction Velocity Confirmation : Favor entries during periods of strong regime velocity indicating decisive momentum rather than regime oscillation Risk Score Alignment : Scale position sizing and exposure based on composite risk score - larger positions during clear risk-on/risk-off environments Trail Pattern Recognition : Use trail curvature to identify regime stability (straight) versus rotation (curved) versus uncertainty (looped) Multi-Timeframe Structure : Apply higher-timeframe regime scanner for macro filter, lower-timeframe for tactical positioning within established regime Disclaimer Cross-Market Regime Scanner is a professional-grade multi-asset regime visualization and correlation analysis tool. It uses ADX-based coordinate positioning and rolling correlation calculation but does not predict future regime transitions or guarantee relationship persistence. Results depend on selected assets' characteristics, parameter configuration, correlation stability, and disciplined interpretation. Security request timing may introduce minor latency in real-time data retrieval. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, volume context, fundamental macro awareness, and comprehensive risk management.
אינדיקטור Pine Script®
מאת ‎BOSWaves‎
LDEF SENS Loss Dependent Error Filter Dominance Regime SwitchCAPITALCOM:GOLD LDEF SENS stands for Loss Dependent Error Filter. This indicator is a dominance regime filter with an adaptive switch boundary. It separates the market into two main states. Directional tradeable tape (trend and impulse conditions) Balanced noisy tape (higher fakeout probability) It also provides a dominance direction bias (bull vs bear) and an adaptive boundary you can use as a market switch signal. What you see in the indicator pane (bottom panel) Main line (0 to 100): dominance sensitivity score Line color meaning Green: bullish dominance (L greater than R) Red: bearish dominance (R greater than L) Gray: low strength or mixed tape Purple line: adaptive regime boundary (moving threshold) Violet shading: regime ON (tradeable conditions) Key idea: height equals strength, color equals direction, violet shading equals regime state. How to read the three images Image A - Regime ON in a trending environment Where to look Price panel: left to middle shows a clean up move Indicator panel: directly below the same time window Violet band is present for a sustained stretch Main line stays high and mostly green What it means When the violet band stays ON, the tape is directional enough for trend following setups to have higher quality. This is not an entry signal. It is an environment filter. Image B - Switch boundary and state changes Where to look Indicator panel: focus on the purple adaptive line and the main line crossing relative to it Watch the moment the main line moves above the purple line. In the same region, violet shading turns ON. What it means The purple line is the adaptive regime boundary. Cross above: regime switches toward directional tape (state change confirmation) Cross below: regime fades and chop risk returns Image C - Direction semantics inside a regime Where to look Indicator panel: inside violet shaded regions Main line is green during bullish dominance (L greater than R) Main line is red during bearish dominance (R greater than L) What it means Violet answers: is this a tradeable regime Green or red answers: which side is dominating Together, they provide a filter plus bias framework. Practical usage Regime filter Prefer setups only when the violet band is ON Reduce size or tighten criteria when the violet band is OFF Direction bias Prefer longs when the line is green Prefer shorts when the line is red Treat gray as no edge or mixed tape Switch boundary analysis Cross above purple: treat as regime shift confirmation Cross below purple: treat as regime cooling off and higher chop risk Limitations This is a regime and dominance tool, not a standalone entry generator. Regime confirmation can be late by design, especially after shocks. Use it with structure, liquidity, and risk management.
אינדיקטור Pine Script®
מאת ‎TheWannaBeQuant‎
5
Market Structure & Supply-Demand EngineMarket Structure & Supply-Demand Engine (MSD-Engine) is a professional, non-repainting market structure and supply-demand analysis tool built purely on price action and volatility logic. This indicator is designed for discretionary traders who want a clean, institutional-style view of market structure without lagging indicators or strategy automation. 🔍 What This Indicator Does MSD-Engine identifies major structural reversals, plots price-action based supply & demand zones, and provides multi-timeframe confluence in a single, unified framework. It is visual and analytical only — no strategy orders, no backtesting, and no repainting. 🚀 Core Features • Non-Repainting Market Structure Event-based swing reversal detection ATR-adaptive displacement filtering Confirmed pivots only (no future leaks) • Pure Supply & Demand Zones Candle-structure based zone detection Volume-weighted zone strength Automatic invalidation on breach Configurable zone limits to maintain chart clarity • Multi-Timeframe Context (MTF) Chart timeframe structure Two independent higher-timeframe supply & demand layers Higher-timeframe directional bias visualization HTF zones plotted only on confirmed HTF closes • Volatility-Adaptive Logic ATR normalized across timeframes Dynamic reversal thresholds Stable behavior from scalping to swing charts • Trendline Lifecycle Tracking Automatic major trendline construction Single-fire break detection Break validation / failure logic HTF-aligned vs counter-trend classification 🧠 Designed For • Discretionary price-action traders • Supply & demand traders • Market structure & smart-money style analysis • Multi-timeframe confluence trading • Futures, indices, forex, crypto, and equities ⚠️ Important Notes This is NOT a strategy or auto-trading system No buy/sell signals or performance metrics No repainting (uses barmerge.lookahead_off) Educational & analytical use only 📜 Disclaimer This script is provided for educational and analytical purposes only. It does not constitute financial advice. Trading financial markets involves risk.
אינדיקטור Pine Script®
מאת ‎Market_Logic_India‎
3
Jurik MA Trend Breakouts [BigBeluga]🔵 OVERVIEW Jurik MA Trend Breakouts is a precision trend-breakout detector built on a custom Jurik-smoothed moving average. It identifies trend direction with ultra-low lag and maps breakout levels using pivot-based swing highs/lows. The indicator plots dynamic breakout lines and confirms trend continuation or reversal when price breaks them — providing clean, minimalistic yet extremely accurate trend signals. 🔵 CONCEPTS Jurik Moving Average (JMA) — A highly smooth and low-lag moving average that reacts quickly to trend shifts without noise. This becomes the core trend baseline. Trend Bias — • JMA rising → bullish trend • JMA falling → bearish trend The JMA color updates instantly based on slope. Swing Pivots — Recent pivot highs/lows are detected to define structural break levels while filtering out weak noise. Trend Breakout Levels — The indicator draws horizontal levels at the last valid pivot in the direction of the trend. These levels act as “confirmation gates” for breakout entries. ATR Validity Filter — Ensures only meaningful pivots within a threshold are used to prevent fake breakouts. 🔵 FEATURES Ultra-Smooth Jurik Trend Line — A visually clean trend baseline changing color based on direction. Automatic Swing High Breakout Setup (Bullish) — • During an uptrend, the indicator tracks the most recent pivot high. • A horizontal breakout line is extended across the chart. • A ✔ marker appears at both pivot points when the breakout structure becomes valid. Automatic Swing Low Breakout Setup (Bearish) — • During a downtrend, pivot lows are tracked. • A horizontal breakout line marks the breakdown level. • ✔ markers confirm valid structure before the breakout triggers. Breakout Detection — • Price closing above the bullish breakout line → “↑” signal printed on the chart. • Price closing below the bearish breakout line → “↓” signal printed on the chart. Automatic Reset on Trend Change — When the JMA trend flips, all breakout structures are cleared and the model starts tracking new pivot levels. Trend-Colored Visualization — Glow + main JMA line give instant clarity of market direction. 🔵 HOW IT WORKS 1. JurikMA defines the main trend — Slope determines bullish or bearish state. 2. The indicator continuously searches for pivots in the direction of the trend. 3. When a valid pivot forms and passes ATR proximity filter, a structural breakout level is drawn. 4. As long as price stays below that level (bullish case), the trend setup remains active. 5. When price finally breaks the level , the indicator prints a directional arrow (↑ or ↓). 6. Trend flip instantly resets all levels and begins tracking pivots on the opposite side. 🔵 HOW TO USE Breakout Trading — Enter long on “↑” and short on “↓” signals when price breaks key pivot structure. Trend Confirmation — Use the JurikMA color to stay aligned with the main trend direction. Reversals — Trend flips often mark major turning points. Structure Mapping — Use the horizontal breakout lines to understand how close price is to confirming a new trend leg. 🔵 CONCLUSION Jurik MA Trend Breakouts combines the speed of a Jurik MA with structural breakout logic to deliver clean, reliable entry signals. Its minimal design, pivot-based confirmation, and trend-aligned logic make it suitable for scalping, swing trading, and intraday trend continuation setups. If you want fast yet filtered breakout recognition with almost zero noise, this tool gives you everything you need.
אינדיקטור Pine Script®
מאת ‎BigBeluga‎
22
MIZAN: Fake Out / Inducement HunterDescription STOP GETTING TRAPPED BY THE MARKET! Are you tired of getting stopped out right before the market moves in your direction? This is called a Fake Out or Liquidity Sweep. The "MIZAN Fake Out Hunter" is designed to detect these manipulation patterns automatically using Smart Money Concepts (SMC). 💎 How It Works: Identifies Key Levels: The script automatically detects major Swing Highs and Swing Lows (Key Fractals) where liquidity (Stop Loss orders) is resting. Detects Inducement: It monitors price action approaching these levels. When price creates "Equal Highs" or "Equal Lows" near a key level without breaking it, it identifies this as Inducement (a trap for retail traders). Signals the Sweep: The signal fires ONLY when price aggressively breaks the level (sweeping the liquidity) and immediately rejects (closes back inside the range). 🚀 Features: Bullish Fake Out (Green Signal): Detects when sellers are trapped at support (Stop Hunt Low). Bearish Fake Out (Red Signal): Detects when buyers are trapped at resistance (Stop Hunt High). Alerts Included: Never miss a manipulation setup again. 🧠 How to Trade: Use this indicator to confirm entries at Major Support/Resistance or Supply/Demand zones. Wait for the "FAKE OUT" signal to confirm that the Smart Money has finished collecting liquidity before entering the trade.
אינדיקטור Pine Script®
מאת ‎muratkavak02‎
JB Trader - Scenario B: Visual Pro (Nifty 50)Description: Designed and developed by Jeya Bharathi (JB), Founder of JB Trader. This is a high-precision scalping strategy specifically optimized for Nifty 50 and Bank Nifty. It combines trend-following logic with momentum and volume confirmation to capture quick moves in the intraday market. Key Features: Multi-Indicator Synergy: Integrates SuperTrend for trend direction and VWAP for institutional price alignment. Candle Break Confirmation: Entries are triggered only when a price break occurs (High/Low) on the signal candle, ensuring momentum is on our side. Volume Filter: Built-in volume analysis to filter out "false breakouts" during low-liquidity periods. Visual Dashboard: Real-time on-chart table showing current trend status and decision-making (Buy/Sell/Wait). Time-Restricted Trading: Optimized for Indian market hours (9:15 AM - 2:45 PM) to avoid end-of-day volatility. Best Performance: Timeframe: 3 Minutes or 5 Minutes. Asset: Nifty 50 Index / Futures. Declaration & Disclaimer: Educational Purpose: This script is developed for educational and analytical purposes only. Risk Warning: Trading involves significant risk. JB Trader is not responsible for any financial losses incurred using this strategy. No Financial Advice: The signals generated by this script do not constitute financial advice. Users should consult a certified financial advisor before making any investment decisions. Proprietary Logic: This code is the intellectual property of JB Trader (Jeya Bharathi). Unauthorized reproduction or redistribution is strictly prohibited.
אסטרטגיית Pine Script®
מאת ‎jbtraderofficial‎
Adaptive MTF EMA (auto TF)Adaptive MTF EMA (Auto TF) — Mid & Slow EMA that adjusts with chart timeframe by @theadventuredan This indicator plots two Higher-Timeframe EMAs (a Mid and a Slow EMA) on your current chart — but unlike normal MTF EMA scripts, the higher timeframes adapt automatically when you change the chart timeframe. Instead of having to reconfigure TFs every time you switch from 5m to 15m to 1h, the indicator keeps the same “relationship” by using timeframe multipliers: Mid TF = current chart TF × Mid Multiplier Slow TF = current chart TF × Slow Multiplier Example (default multipliers: 3× and 12×): On 5m: Mid = 15m, Slow = 60m On 15m: Mid = 45m, Slow = 180m (3h) On 1h: Mid = 3h, Slow = 12h This is especially useful if you use MTF EMA alignment as a trend filter (e.g., Mid EMA above Slow EMA = bullish bias). How it works The script reads your current chart timeframe using timeframe.in_seconds(timeframe.period) and converts it into minutes. It calculates the adaptive MTF targets: midMin = curMin × midMult slowMin = curMin × slowMult It requests the EMA from those higher timeframes via request.security() and plots them on your chart. Optional: A label can display the currently calculated Mid and Slow TFs (in minutes). Inputs EMA Length: EMA period (default 50) Mid TF Multiplier: how many times higher the mid timeframe should be (default 3) Slow TF Multiplier: how many times higher the slow timeframe should be (default 12) Use confirmed HTF values (safer): When enabled, the script uses the previous HTF EMA value (EMA ) to reduce behavior caused by partially formed higher-timeframe candles. This may lag slightly but is often preferred for signal consistency. Show TF label: shows a label with the current adaptive TFs Notes / Limitations Because the higher timeframe is derived by multiplication, some results may produce less common timeframes (e.g., 45m or 12h). This is expected. MTF values depend on request.security() and will always reflect higher-timeframe candle logic (especially during an unclosed HTF candle). If you want less “in-progress candle” behavior, enable Use confirmed HTF values. This is an EMA overlay tool — not a standalone buy/sell system. Suggested usage Trend bias filter: Mid EMA > Slow EMA = bullish bias, Mid < Slow = bearish bias Entry alignment: use the adaptive EMAs as “context” while trading lower TF setups Dynamic market structure: switch timeframes while keeping consistent “one step higher / two steps higher” EMA reference
אינדיקטור Pine Script®
מאת ‎d_jaeger‎
Vegas Triple Tunnel (CGYJ Pro)维加斯三通道（Vegas Tunnel） 指标简介 维加斯三通道是由职业交易员Vegas开发的经典趋势跟踪系统，通过三组EMA均线构建短期、中期、长期三层通道，帮助交易者识别趋势方向和最佳入场时机。 通道结构 通道均线用途短期EMA 21 / 26短线趋势、快速入场中期EMA 144 / 169核心趋势判断、标准入场长期EMA 576 / 676大趋势方向、重要支撑阻力 使用方法 多头排列：短期通道 > 中期通道 > 长期通道，逢回调做多 空头排列：短期通道 < 中期通道 < 长期通道，逢反弹做空 回调入场：价格回踩通道后反弹是最佳入场点 适用范围 适用于所有品种和周期，H1、H4、日线效果最佳。 Vegas Triple Tunnel Overview The Vegas Triple Tunnel is a classic trend-following system developed by professional trader Vegas. It uses three pairs of EMA lines to construct short-term, medium-term, and long-term channels, helping traders identify trend direction and optimal entry points. Channel Structure Short-term Channel: EMA 21 / 26 - For quick trend identification and short-term entries Medium-term Channel: EMA 144 / 169 - Core trend judgment and standard entries Long-term Channel: EMA 576 / 676 - Major trend direction and key support/resistance levels How to Use Bullish Alignment: Short > Medium > Long channel, look for pullback entries to go long Bearish Alignment: Short < Medium < Long channel, look for bounce entries to go short Best Entry: Price pullback to channel and bounce provides optimal entry opportunities Applicable Markets Works on all instruments and timeframes. Best results on H1, H4, and Daily charts.
אינדיקטור Pine Script®
מאת ‎CGYJPro‎