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Ultimate RSI (2) TDBurbin's RSI Alerts: RSI alerts can be used ONLY when you're awaiting a chart to shift it's momentum. Example: You are waiting for a take profit signal and you'd like a push notification when this is triggered. These are NOT intended to be Buy and Sell signals. Only to get your attention. Pair with other confirmations. This is a modified version of LuxAlgo's Ultimate RSI. This is for education purposes only and personal use by Burbin. Inspired by AA, and dedicated to TD. LuxAlgo's Description: The Ultimate RSI indicator is a new oscillator based on the calculation of the Relative Strength Index that aims to put more emphasis on the trend, thus having a less noisy output. Opposite to the regular RSI, this oscillator is designed for a trend trading approach instead of a contrarian one. 🔶 USAGE While returning the same information as a regular RSI, the Ultimate RSI puts more emphasis on trends, and as such can reach overbought/oversold levels faster as well as staying longer within these areas. This can avoid the common issue of an RSI regularly crossing an overbought or oversold level while the trend makes new higher highs/lower lows. The Ultimate RSI crossing above the overbought level can be indicative of a strong uptrend (highlighted as a green area), while an Ultimate RSI crossing under the oversold level can be indicative of a strong downtrend (highlighted as a red area). The Ultimate RSI crossing the 50 midline can also indicate trends, with the oscillator being above indicating an uptrend, else a downtrend. Unlike a regular RSI, the Ultimate RSI will cross the midline level less often, thus generating fewer whipsaw signals. For even more timely indications users can observe the Ultimate RSI relative to its signal line. An Ultimate RSI above its signal line can indicate it is increasing, while the opposite would indicate it is decreasing. 🔹Smoothing Methods Users can return more reactive or smoother results depending on the selected smoothing method used for the calculation of the Ultimate RSI. Options include: Exponential Moving Average (EMA) Simple Moving Average (SMA) Wilder's Moving Average (RMA) Triangular Moving Average (TMA) These are ranked by the degree of reactivity of each method, with higher ones being more reactive (but less smooth). Users can also select the smoothing method used by the signal line. 🔶 DETAILS The RSI returns a normalized exponential average of price changes in the range (0, 100), which can be simply calculated as follows: ema(d) / ema(|d|) × 50 + 50 🔶 SETTINGS Length: Calculation period of the indicator Method: Smoothing method used for the calculation of the indicator. Source: Input source of the indicator 🔹Signal Line Smooth: Degree of smoothness of the signal line Method: Smoothing method used to calculation the signal line.
Pine Script® indicator
by DeeeeezNuts
Market Regime (w/ Adaptive Thresholds)Logic Behind This Indicator This indicator identifies market regimes (trending vs. mean-reverting) using adaptive thresholds that adjust to recent market conditions. Core Components 1. Regime Score Calculation (0-100 scale) Starts at 50 (neutral) and adjusts based on two factors: A. Trend Strength Compares fast EMA (5) vs. slow EMA (10) If fast > slow by >1% → +60 points (strong uptrend) If fast < slow by >1% → -60 points (strong downtrend) B. RSI Momentum Uses 7-period RSI smoothed with 3-period EMA RSI > 70 → +20 points (overbought/trending) RSI < 30 → -20 points (oversold/mean-reverting) The score is then smoothed and clamped between 0-100. 2. Adaptive Thresholds Instead of fixed levels, thresholds adjust to recent market behavior: Looks back 100 bars to find the min/max regime score High threshold = 80% of the range (trending regime) Low threshold = 20% of the range (mean-reverting regime) This prevents false signals in different volatility environments. 3. Regime Classification Regime Score Classification Meaning Above high threshold STRONG TREND Market is trending strongly (follow momentum) Below low threshold STRONG MEAN REVERSION Market is choppy/oversold (fade moves) Between thresholds NEUTRAL No clear regime (stay out or wait) 4. Regime Persistence Filter Requires the regime to hold for a minimum number of bars (default: 1) before confirming Prevents whipsaws from brief score fluctuations What It Aims to Detect When to use trend-following strategies (green = buy breakouts, ride momentum) When to use mean-reversion strategies (red = buy dips, sell rallies) When to stay out (gray = unclear conditions, high risk of false signals) Visual Cues Green background = Strong trend (momentum strategies work) Red background = Strong mean reversion (contrarian strategies work) Table = Shows current regime, color, and score Alerts = Notifies when regime changes
Pine Script® indicator
by Zorgs
Multiple Symbol Trend Screener [Pineify]Multiple Symbol Trend Screener Pineify – Ultimate Multi-Indicator Scanner for TradingView Empower your trading with deep market insights across multiple symbols using this feature-rich Pine Script screener. The Multiple Symbol Trend Screener Pineify enables traders to monitor and compare trends, reversals, and consolidations in real-time across the biggest equity symbols on TradingView, through a synergistic blend of popular technical indicators. Key Features Monitor up to 15 symbols and their trends simultaneously Integrates 7 professional-grade indicators: MA Distance, Aroon, Parabolic SAR (PSAR), ADX, Supertrend, Keltner Channel, and BBTrend Color-coded table display for instant visual assessment Customizable lookback periods, indicator types, and calculation methods SEO optimized for multi-symbol trend detection, screener, and advanced TradingView indicator How It Works This indicator leverages TradingView’s Pine Script v6 and request.security() to process multiple symbols across selected timeframes. Data populates a dynamic table, updating each cell based on the calculated value of every underlying indicator. MA Distance highlights deviation from moving averages; Aroon flags emerging trend strength; PSAR marks potential trend reversals; ADX assesses trend momentum; Supertrend detects bullish/bearish phases; Keltner Channel and BBTrend offer volatility and power insights. Set up your preferred symbols and timeframes Each indicator runs its calculation per symbol using its parameter group All results are displayed in a table for a comprehensive dashboard view Trading Ideas and Insights Traders can use this screener for cross-market comparison, directional bias, entry/exit filtering, and comprehensive trend evaluation. The screener is excellent for swing trading, day trading, and portfolio tracking. It enables confirmation across multiple frameworks — for example, spotting momentum with ADX before confirming direction with Supertrend and PSAR. Identify correlated movements or divergences across selected assets Spot synchronized trend changes for basket trading ideas Filter symbols by volatility, strength, or trend status for precise trade selection How Multiple Indicators Work Together The screener’s edge lies in its intelligent correlation of popular indicators. MA Distance measures the proximity to chosen moving averages, ideal for spotting overbought/oversold conditions. Aroon reveals the strength of new price trends, PSAR indicates reversal signals, and ADX quantifies the momentum of these trends. Supertrend provides a directional phase, while Keltner Channel & BBTrend analyze volatility shifts and band compressions. This amalgamation allows for a robust, multi-dimensional market snapshot, capturing details missed by single-indicator tools. By displaying all key metrics side-by-side, the screener enables holistic decision-making, revealing confluence zones and contradiction areas across multiple tickers and timeframes. Unique Aspects Original implementation combining seven independent trend and momentum indicators for each symbol Rich customization for symbols, timeframes, and all indicator parameters Intuitive color-coding for quick reading of bullish/bearish/neutral signals Comprehensive dashboard for instant actionable insights How to Use Load the indicator onto your TradingView chart Go to the script’s settings and input your preferred symbols and relevant timeframes Set your desired parameters for each indicator group: Moving Average type, Aroon length, PSAR values, ADX smoothing, etc. Observe the results in the top-right table, then use it to filter candidates and validate trade setups The screener is suitable for all timeframes and asset classes available on TradingView. Make sure your chart’s timeframe matches the one used in the scanner for optimal accuracy. Customization Choose up to 15 symbols to monitor in a single dashboard Customize lookback periods, indicator types, colors, and display settings Configure alerting options and thresholds for advanced trade automation Conclusion The Multiple Symbol Trend Screener Pineify sets a new standard for multi-asset screening on TradingView. By elegantly merging seven proven technical indicators, the screener delivers powerful trend detection, reversal analysis, and volatility monitoring — all in one dashboard. Take your trading to new heights with in-depth, customizable market surveillance.
Pine Script® indicator
by Pineify
Advanced RSI with Divergence RCT This indicator provides a comprehensive RSI analysis tool by combining the classic Relative Strength Index (RSI) with a smoothing Simple Moving Average (SMA), clearly defined overbought/oversold zones, and an advanced divergence detection engine. --- Key Features --- 1. RSI with SMA: Plots the standard RSI along with a user-defined SMA of the RSI. This helps to smooth out price action and confirm the underlying trend, identifying potential buy/sell signals on crossovers. 2. Overbought/Oversold Levels: Highlights the extreme zones with dotted horizontal lines at 80 (overbought) and 20 (oversold), providing clear visual cues for potential market reversals. 3. Advanced Divergence Detection: Automatically identifies and plots both regular and hidden divergences (bullish and bearish) directly on the chart. This helps traders spot potential reversals that are not obvious from price action alone. --- How to Use --- - Trend Confirmation: When the RSI crosses above its SMA, it can signal a strengthening bullish trend. A cross below can signal a strengthening bearish trend. - Reversal Zones: When the RSI enters the overbought zone (>80) or oversold zone (<20), traders may watch for a reversal in price. - Divergence Signals: - A Bullish Divergence (green label 'R') occurs when the price makes a lower low, but the RSI makes a higher low, suggesting downward momentum is fading. - A Bearish Divergence (red label 'R') occurs when the price makes a higher high, but the RSI makes a lower high, suggesting upward momentum is fading. - Hidden Divergences ('H' labels) can indicate the continuation of an existing trend. --- Disclaimer --- This script is for informational and educational purposes only. It is not financial advice. Past performance is not indicative of future results. Always do your own research before making any trading decisions.
Pine Script® indicator
by CARLOSVIZCARRA17
RSI Donchian Channel [DCAUT]█ RSI Donchian Channel 📊 ORIGINALITY & INNOVATION The RSI Donchian Channel represents an important synthesis of two complementary analytical frameworks: momentum oscillators and breakout detection systems. This indicator addresses a common limitation in traditional RSI analysis by replacing fixed overbought/oversold thresholds with adaptive zones derived from historical RSI extremes. Key Enhancement: Traditional RSI analysis relies on static threshold levels (typically 30/70), which may not adequately reflect changing market volatility regimes. This indicator adapts the reference zones dynamically based on the actual RSI behavior over the lookback period, helping traders identify meaningful momentum extremes relative to recent price action rather than arbitrary fixed levels. The implementation combines the proven momentum measurement capabilities of RSI with Donchian Channel's breakout detection methodology, creating a framework that identifies both momentum exhaustion points and potential continuation signals through the same analytical lens. 📐 MATHEMATICAL FOUNDATION Core Calculation Process: Step 1: RSI Calculation The Relative Strength Index measures momentum by comparing the magnitude of recent gains to recent losses: Calculate price changes between consecutive periods Separate positive changes (gains) from negative changes (losses) Apply selected smoothing method (RMA standard, also supports SMA, EMA, WMA) to both gain and loss series Compute Relative Strength (RS) as the ratio of smoothed gains to smoothed losses Transform RS into bounded 0-100 scale using the formula: RSI = 100 - (100 / (1 + RS)) Step 2: Donchian Channel Application The Donchian Channel identifies the highest and lowest RSI values within the specified lookback period: Upper Channel: Highest RSI value over the lookback period, represents the recent momentum peak Lower Channel: Lowest RSI value over the lookback period, represents the recent momentum trough Middle Channel (Basis): Average of upper and lower channels, serves as equilibrium reference Channel Width Dynamics: The distance between upper and lower channels reflects RSI volatility. Wide channels indicate high momentum variability, while narrow channels suggest momentum consolidation and potential breakout preparation. The indicator monitors channel width over a 100-period window to identify squeeze conditions that often precede significant momentum shifts. 📊 COMPREHENSIVE SIGNAL ANALYSIS Primary Signal Categories: Breakout Signals: Upper Breakout: RSI crosses above the upper channel, indicates momentum reaching new relative highs and potential trend continuation, particularly significant when accompanied by price confirmation Lower Breakout: RSI crosses below the lower channel, suggests momentum reaching new relative lows and potential trend exhaustion or reversal setup Breakout strength is enhanced when the channel is narrow prior to the breakout, indicating a transition from consolidation to directional movement Mean Reversion Signals: Upper Touch Without Breakout: RSI reaches the upper channel but fails to break through, may indicate momentum exhaustion and potential reversal opportunity Lower Touch Without Breakout: RSI reaches the lower channel without breakdown, suggests potential bounce as momentum reaches oversold extremes Return to Basis: RSI moving back toward the middle channel after touching extremes signals momentum normalization Trend Strength Assessment: Sustained Upper Channel Riding: RSI consistently remains near or above the upper channel during strong uptrends, indicates persistent bullish momentum Sustained Lower Channel Riding: RSI stays near or below the lower channel during strong downtrends, reflects persistent bearish pressure Basis Line Position: RSI position relative to the middle channel helps identify the prevailing momentum bias Channel Compression Patterns: Squeeze Detection: Channel width narrowing to 100-period lows indicates momentum consolidation, often precedes significant directional moves Expansion Phase: Channel widening after a squeeze confirms the initiation of a new momentum regime Persistent Narrow Channels: Extended periods of tight channels suggest market indecision and accumulation/distribution phases 🎯 STRATEGIC APPLICATIONS Trend Continuation Strategy: This approach focuses on identifying and trading momentum breakouts that confirm established trends: Identify the prevailing price trend using higher timeframe analysis or trend-following indicators Wait for RSI to break above the upper channel in uptrends (or below the lower channel in downtrends) Enter positions in the direction of the breakout when price action confirms the momentum shift Place protective stops below the recent swing low (long positions) or above swing high (short positions) Target profit levels based on prior swing extremes or use trailing stops to capture extended moves Exit when RSI crosses back through the basis line in the opposite direction Mean Reversion Strategy: This method capitalizes on momentum extremes and subsequent corrections toward equilibrium: Monitor for RSI reaching the upper or lower channel boundaries Look for rejection signals (price reversal patterns, volume divergence) when RSI touches the channels Enter counter-trend positions when RSI begins moving back toward the basis line Use the basis line as the initial profit target for mean reversion trades Implement tight stops beyond the channel extremes to limit risk on failed reversals Scale out of positions as RSI approaches the basis line and closes the position when RSI crosses the basis Breakout Preparation Strategy: This approach positions traders ahead of potential volatility expansion from consolidation phases: Identify squeeze conditions when channel width reaches 100-period lows Monitor price action for consolidation patterns (triangles, rectangles, flags) during the squeeze Prepare conditional orders for breakouts in both directions from the consolidation Enter positions when RSI breaks out of the narrow channel with expanding width Use the channel width expansion as a confirmation signal for the breakout's validity Manage risk with stops just inside the opposite channel boundary Multi-Timeframe Confluence Strategy: Combining RSI Donchian Channel analysis across multiple timeframes can improve signal reliability: Identify the primary trend direction using a higher timeframe RSI Donchian Channel (e.g., daily or weekly) Use a lower timeframe (e.g., 4-hour or hourly) to time precise entry points Enter long positions when both timeframes show RSI above their respective basis lines Enter short positions when both timeframes show RSI below their respective basis lines Avoid trades when timeframes provide conflicting signals (e.g., higher timeframe below basis, lower timeframe above) Exit when the higher timeframe RSI crosses its basis line in the opposite direction Risk Management Guidelines: Effective risk management is essential for all RSI Donchian Channel strategies: Position Sizing: Calculate position sizes based on the distance between entry point and stop loss, limiting risk to 1-2% of capital per trade Stop Loss Placement: For breakout trades, place stops just inside the opposite channel boundary; for mean reversion trades, use stops beyond the channel extremes Profit Targets: Use the basis line as a minimum target for mean reversion trades; for trend trades, target prior swing extremes or use trailing stops Channel Width Context: Increase position sizes during narrow channels (lower volatility) and reduce sizes during wide channels (higher volatility) Correlation Awareness: Monitor correlations between traded instruments to avoid over-concentration in similar setups 📋 DETAILED PARAMETER CONFIGURATION RSI Source: Defines the price data series used for RSI calculation: Close (Default): Standard choice providing end-of-period momentum assessment, suitable for most trading styles and timeframes High-Low Average (HL2): Reduces the impact of closing auction dynamics, useful for markets with significant end-of-day volatility High-Low-Close Average (HLC3): Provides a more balanced view incorporating the entire period's range Open-High-Low-Close Average (OHLC4): Offers the most comprehensive price representation, helpful for identifying overall period sentiment Strategy Consideration: Use Close for end-of-period signals, HL2 or HLC3 for intraday volatility reduction, OHLC4 for capturing full period dynamics RSI Length: Controls the number of periods used for RSI calculation: Short Periods (5-9): Highly responsive to recent price changes, produces more frequent signals with increased false signal risk, suitable for short-term trading and volatile markets Standard Period (14): Widely accepted default balancing responsiveness with stability, appropriate for swing trading and intermediate-term analysis Long Periods (21-28): Produces smoother RSI with fewer signals but more reliable trend identification, better for position trading and reducing noise in choppy markets Optimization Approach: Test different lengths against historical data for your specific market and timeframe, consider using longer periods in ranging markets and shorter periods in trending markets RSI MA Type: Determines the smoothing method applied to price changes in RSI calculation: RMA (Relative Moving Average - Default): Wilder's original smoothing method providing stable momentum measurement with gradual response to changes, maintains consistency with classical RSI interpretation SMA (Simple Moving Average): Treats all periods equally, responds more quickly to changes than RMA but may produce more whipsaws in volatile conditions EMA (Exponential Moving Average): Weights recent periods more heavily, increases responsiveness at the cost of potential noise, suitable for traders prioritizing early signal generation WMA (Weighted Moving Average): Applies linear weighting favoring recent data, offers a middle ground between SMA and EMA responsiveness Selection Guidance: Maintain RMA for consistency with traditional RSI analysis, use EMA or WMA for more responsive signals in fast-moving markets, apply SMA for maximum simplicity and transparency DC Length: Specifies the lookback period for Donchian Channel calculation on RSI values: Short Periods (10-14): Creates tight channels that adapt quickly to changing momentum conditions, generates more frequent trading signals but increases sensitivity to short-term RSI fluctuations Standard Period (20): Balances channel responsiveness with stability, aligns with traditional Bollinger Bands and moving average periods, suitable for most trading styles Long Periods (30-50): Produces wider, more stable channels that better represent sustained momentum extremes, reduces signal frequency while improving reliability, appropriate for position traders and higher timeframes Calibration Strategy: Match DC length to your trading timeframe (shorter for day trading, longer for swing trading), test channel width behavior during different market regimes, consider using adaptive periods that adjust to volatility conditions Market Adaptation: Use shorter DC lengths in trending markets to capture momentum shifts earlier, apply longer periods in ranging markets to filter noise and focus on significant extremes Parameter Combination Recommendations: Scalping/Day Trading: RSI Length 5-9, DC Length 10-14, EMA or WMA smoothing for maximum responsiveness Swing Trading: RSI Length 14, DC Length 20, RMA smoothing for balanced analysis (default configuration) Position Trading: RSI Length 21-28, DC Length 30-50, RMA or SMA smoothing for stable signals High Volatility Markets: Longer RSI periods (21+) with standard DC length (20) to reduce noise Low Volatility Markets: Standard RSI length (14) with shorter DC length (10-14) to capture subtle momentum shifts 📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES Adaptive Threshold Mechanism: Unlike traditional RSI analysis with fixed 30/70 thresholds, this indicator's Donchian Channel approach provides several improvements: Context-Aware Extremes: Overbought/oversold levels adjust automatically based on recent momentum behavior rather than arbitrary fixed values Volatility Adaptation: In low volatility periods, channels narrow to reflect tighter momentum ranges; in high volatility, channels widen appropriately Market Regime Recognition: The indicator implicitly adapts to different market conditions without manual threshold adjustments False Signal Reduction: Adaptive channels help reduce premature reversal signals that often occur with fixed thresholds during strong trends Signal Quality Characteristics: The indicator's dual-purpose design provides distinct advantages for different trading objectives: Breakout Trading: Channel boundaries offer clear, objective breakout levels that update dynamically, eliminating the ambiguity of when momentum becomes "too high" or "too low" Mean Reversion: The basis line provides a natural profit target for reversion trades, representing the midpoint of recent momentum extremes Trend Strength: Persistent channel boundary riding offers an objective measure of trend strength without additional indicators Consolidation Detection: Channel width analysis provides early warning of potential volatility expansion from compression phases Comparative Analysis: When compared to traditional RSI implementations and other momentum frameworks: vs. Fixed Threshold RSI: Provides market-adaptive reference levels rather than static values, helping to reduce false signals during trending markets where RSI can remain "overbought" or "oversold" for extended periods vs. RSI Bollinger Bands: Offers clearer breakout signals and more intuitive extreme identification through actual high/low boundaries rather than statistical standard deviations vs. Stochastic Oscillator: Maintains RSI's momentum measurement advantages (unbounded calculation avoiding scale compression) while adding the breakout detection capabilities of Donchian Channels vs. Standard Donchian Channels: Applies breakout methodology to momentum space rather than price, providing earlier signals of potential trend changes before price breakouts occur Performance Characteristics: The indicator exhibits specific behavioral patterns across different market conditions: Trending Markets: Excels at identifying momentum continuation through channel breakouts, RSI tends to ride one channel boundary during strong trends, providing trend confirmation Ranging Markets: Channel width narrows during consolidation, offering early preparation signals for potential breakout trading opportunities High Volatility: Channels widen to reflect increased momentum variability, automatically adjusting signal sensitivity to match market conditions Low Volatility: Channels contract, making the indicator more sensitive to subtle momentum shifts that may be significant in calm market environments Transition Periods: Channel squeezes often precede major trend changes, offering advance warning of potential regime shifts Limitations and Considerations: Users should be aware of certain operational characteristics: Lookback Dependency: Channel boundaries depend entirely on the lookback period, meaning the indicator has no predictive element beyond identifying current momentum relative to recent history Lag Characteristics: As with all moving average-based indicators, RSI calculation introduces lag, and channel boundaries update only as new extremes occur within the lookback window Range-Bound Sensitivity: In extremely tight ranges, channels may become very narrow, potentially generating excessive signals from minor momentum fluctuations Trending Persistence: During very strong trends, RSI may remain at channel extremes for extended periods, requiring patience for mean reversion setups or commitment to trend-following approaches No Absolute Levels: Unlike traditional RSI, this indicator provides no fixed reference points (like 50), making it less suitable for strategies that depend on absolute momentum readings USAGE NOTES This indicator is designed for technical analysis and educational purposes to help traders understand momentum dynamics and identify potential trading opportunities. The RSI Donchian Channel has limitations and should not be used as the sole basis for trading decisions. Important considerations: Performance varies significantly across different market conditions, timeframes, and instruments Historical signal patterns do not guarantee future results, as market behavior continuously evolves Effective use requires understanding of both RSI momentum principles and Donchian Channel breakout concepts Risk management practices (stop losses, position sizing, diversification) are essential for any trading application Consider combining with additional analytical tools such as volume analysis, price action patterns, or trend indicators for confirmation Backtest thoroughly on your specific instruments and timeframes before live trading implementation Be aware that optimization on historical data may lead to curve-fitting and poor forward performance The indicator performs best when used as part of a comprehensive trading methodology that incorporates multiple forms of market analysis, sound risk management, and realistic expectations about win rates and drawdowns.
Pine Script® indicator
by DCAUT
Stochastic Enhanced [DCAUT]█ Stochastic Enhanced 📊 ORIGINALITY & INNOVATION The Stochastic Enhanced indicator builds upon George Lane's classic momentum oscillator (developed in the late 1950s) by providing comprehensive smoothing algorithm flexibility. While traditional implementations limit users to Simple Moving Average (SMA) smoothing, this enhanced version offers 21 advanced smoothing algorithms, allowing traders to optimize the indicator's characteristics for different market conditions and trading styles. Key Improvements: Extended from single SMA smoothing to 21 professional-grade algorithms including adaptive filters (KAMA, FRAMA), zero-lag methods (ZLEMA, T3), and advanced digital filters (Kalman, Laguerre) Maintains backward compatibility with traditional Stochastic calculations through SMA default setting Unified smoothing algorithm applies to both %K and %D lines for consistent signal processing characteristics Enhanced visual feedback with clear color distinction and background fill highlighting for intuitive signal recognition Comprehensive alert system covering crossovers and zone entries for systematic trade management Differentiation from Traditional Stochastic: Traditional Stochastic indicators use fixed SMA smoothing, which introduces consistent lag regardless of market volatility. This enhanced version addresses the limitation by offering adaptive algorithms that adjust to market conditions (KAMA, FRAMA), reduce lag without sacrificing smoothness (ZLEMA, T3, HMA), or provide superior noise filtering (Kalman Filter, Laguerre filters). The flexibility helps traders balance responsiveness and stability according to their specific needs. 📐 MATHEMATICAL FOUNDATION Core Stochastic Calculation: The Stochastic Oscillator measures the position of the current close relative to the high-low range over a specified period: Step 1: Raw %K Calculation %K_raw = 100 × (Close - Lowest Low) / (Highest High - Lowest Low) Where: Close = Current closing price Lowest Low = Lowest low over the %K Length period Highest High = Highest high over the %K Length period Result ranges from 0 (close at period low) to 100 (close at period high) Step 2: Smoothed %K Calculation %K = MA(%K_raw, K Smoothing Period, MA Type) Where: MA = Selected moving average algorithm (SMA, EMA, etc.) K Smoothing = 1 for Fast Stochastic, 3+ for Slow Stochastic Traditional Fast Stochastic uses %K_raw directly without smoothing Step 3: Signal Line %D Calculation %D = MA(%K, D Smoothing Period, MA Type) Where: %D acts as a signal line and moving average of %K D Smoothing typically set to 3 periods in traditional implementations Both %K and %D use the same MA algorithm for consistent behavior Available Smoothing Algorithms (21 Options): Standard Moving Averages: SMA (Simple): Equal-weighted average, traditional default, consistent lag characteristics EMA (Exponential): Recent price emphasis, faster response to changes, exponential decay weighting RMA (Rolling/Wilder's): Smoothed average used in RSI, less reactive than EMA WMA (Weighted): Linear weighting favoring recent data, moderate responsiveness VWMA (Volume-Weighted): Incorporates volume data, reflects market participation intensity Advanced Moving Averages: HMA (Hull): Reduced lag with smoothness, uses weighted moving averages and square root period ALMA (Arnaud Legoux): Gaussian distribution weighting, minimal lag with good noise reduction LSMA (Least Squares): Linear regression based, fits trend line to data points DEMA (Double Exponential): Reduced lag compared to EMA, uses double smoothing technique TEMA (Triple Exponential): Further lag reduction, triple smoothing with lag compensation ZLEMA (Zero-Lag Exponential): Lag elimination attempt using error correction, very responsive TMA (Triangular): Double-smoothed SMA, very smooth but slower response Adaptive & Intelligent Filters: T3 (Tilson T3): Six-pass exponential smoothing with volume factor adjustment, excellent smoothness FRAMA (Fractal Adaptive): Adapts to market fractal dimension, faster in trends, slower in ranges KAMA (Kaufman Adaptive): Efficiency ratio based adaptation, responds to volatility changes McGinley Dynamic: Self-adjusting mechanism following price more accurately, reduced whipsaws Kalman Filter: Optimal estimation algorithm from aerospace engineering, dynamic noise filtering Advanced Digital Filters: Ultimate Smoother: Advanced digital filter design, superior noise rejection with minimal lag Laguerre Filter: Time-domain filter with N-order implementation, adjustable lag characteristics Laguerre Binomial Filter: 6-pole Laguerre filter, extremely smooth output for long-term analysis Super Smoother: Butterworth filter implementation, removes high-frequency noise effectively 📊 COMPREHENSIVE SIGNAL ANALYSIS Absolute Level Interpretation (%K Line): %K Above 80: Overbought condition, price near period high, potential reversal or pullback zone, caution for new long entries %K in 70-80 Range: Strong upward momentum, bullish trend confirmation, uptrend likely continuing %K in 50-70 Range: Moderate bullish momentum, neutral to positive outlook, consolidation or mild uptrend %K in 30-50 Range: Moderate bearish momentum, neutral to negative outlook, consolidation or mild downtrend %K in 20-30 Range: Strong downward momentum, bearish trend confirmation, downtrend likely continuing %K Below 20: Oversold condition, price near period low, potential bounce or reversal zone, caution for new short entries Crossover Signal Analysis: %K Crosses Above %D (Bullish Cross): Momentum shifting bullish, faster line overtakes slower signal, consider long entry especially in oversold zone, strongest when occurring below 20 level %K Crosses Below %D (Bearish Cross): Momentum shifting bearish, faster line falls below slower signal, consider short entry especially in overbought zone, strongest when occurring above 80 level Crossover in Midrange (40-60): Less reliable signals, often in choppy sideways markets, require additional confirmation from trend or volume analysis Multiple Failed Crosses: Indicates ranging market or choppy conditions, reduce position sizes or avoid trading until clear directional move Advanced Divergence Patterns (%K Line vs Price): Bullish Divergence: Price makes lower low while %K makes higher low, indicates weakening bearish momentum, potential trend reversal upward, more reliable when %K in oversold zone Bearish Divergence: Price makes higher high while %K makes lower high, indicates weakening bullish momentum, potential trend reversal downward, more reliable when %K in overbought zone Hidden Bullish Divergence: Price makes higher low while %K makes lower low, indicates trend continuation in uptrend, bullish trend strength confirmation Hidden Bearish Divergence: Price makes lower high while %K makes higher high, indicates trend continuation in downtrend, bearish trend strength confirmation Momentum Strength Analysis (%K Line Slope): Steep %K Slope: Rapid momentum change, strong directional conviction, potential for extended moves but also increased reversal risk Gradual %K Slope: Steady momentum development, sustainable trends more likely, lower probability of sharp reversals Flat or Horizontal %K: Momentum stalling, potential reversal or consolidation ahead, wait for directional break before committing %K Oscillation Within Range: Indicates ranging market, sideways price action, better suited for range-trading strategies than trend following 🎯 STRATEGIC APPLICATIONS Mean Reversion Strategy (Range-Bound Markets): Identify ranging market conditions using price action or Bollinger Bands Wait for Stochastic to reach extreme zones (above 80 for overbought, below 20 for oversold) Enter counter-trend position when %K crosses %D in extreme zone (sell on bearish cross above 80, buy on bullish cross below 20) Set profit targets near opposite extreme or midline (50 level) Use tight stop-loss above recent swing high/low to protect against breakout scenarios Exit when Stochastic reaches opposite extreme or %K crosses %D in opposite direction Trend Following with Momentum Confirmation: Identify primary trend direction using higher timeframe analysis or moving averages Wait for Stochastic pullback to oversold zone (<20) in uptrend or overbought zone (>80) in downtrend Enter in trend direction when %K crosses %D confirming momentum shift (bullish cross in uptrend, bearish cross in downtrend) Use wider stops to accommodate normal trend volatility Add to position on subsequent pullbacks showing similar Stochastic pattern Exit when Stochastic shows opposite extreme with failed cross or bearish/bullish divergence Divergence-Based Reversal Strategy: Scan for divergence between price and Stochastic at swing highs/lows Confirm divergence with at least two price pivots showing divergent Stochastic readings Wait for %K to cross %D in direction of anticipated reversal as entry trigger Enter position in divergence direction with stop beyond recent swing extreme Target profit at key support/resistance levels or Fibonacci retracements Scale out as Stochastic reaches opposite extreme zone Multi-Timeframe Momentum Alignment: Analyze Stochastic on higher timeframe (4H or Daily) for primary trend bias Switch to lower timeframe (1H or 15M) for precise entry timing Only take trades where lower timeframe Stochastic signal aligns with higher timeframe momentum direction Higher timeframe Stochastic in bullish zone (>50) = only take long entries on lower timeframe Higher timeframe Stochastic in bearish zone (<50) = only take short entries on lower timeframe Exit when lower timeframe shows counter-signal or higher timeframe momentum reverses Zone Transition Strategy: Monitor Stochastic for transitions between zones (oversold to neutral, neutral to overbought, etc.) Enter long when Stochastic crosses above 20 (exiting oversold), signaling momentum shift from bearish to neutral/bullish Enter short when Stochastic crosses below 80 (exiting overbought), signaling momentum shift from bullish to neutral/bearish Use zone midpoint (50) as dynamic support/resistance for position management Trail stops as Stochastic advances through favorable zones Exit when Stochastic fails to maintain momentum and reverses back into prior zone 📋 DETAILED PARAMETER CONFIGURATION %K Length (Default: 14): Lower Values (5-9): Highly sensitive to price changes, generates more frequent signals, increased false signals in choppy markets, suitable for very short-term trading and scalping Standard Values (10-14): Balanced sensitivity and reliability, traditional default (14) widely used,适合 swing trading and intraday strategies Higher Values (15-21): Reduced sensitivity, smoother oscillations, fewer but potentially more reliable signals, better for position trading and lower timeframe noise reduction Very High Values (21+): Slow response, long-term momentum measurement, fewer trading signals, suitable for weekly or monthly analysis %K Smoothing (Default: 3): Value 1: Fast Stochastic, uses raw %K calculation without additional smoothing, most responsive to price changes, generates earliest signals with higher noise Value 3: Slow Stochastic (default), traditional smoothing level, reduces false signals while maintaining good responsiveness, widely accepted standard Values 5-7: Very slow response, extremely smooth oscillations, significantly reduced whipsaws but delayed entry/exit timing Recommendation: Default value 3 suits most trading scenarios, active short-term traders may use 1, conservative long-term positions use 5+ %D Smoothing (Default: 3): Lower Values (1-2): Signal line closely follows %K, frequent crossover signals, useful for active trading but requires strict filtering Standard Value (3): Traditional setting providing balanced signal line behavior, optimal for most trading applications Higher Values (4-7): Smoother signal line, fewer crossover signals, reduced whipsaws but slower confirmation, better for trend trading Very High Values (8+): Signal line becomes slow-moving reference, crossovers rare and highly significant, suitable for long-term position changes only Smoothing Type Algorithm Selection: For Trending Markets: ZLEMA, DEMA, TEMA: Reduced lag for faster trend entry, quick response to momentum shifts, suitable for strong directional moves HMA, ALMA: Good balance of smoothness and responsiveness, effective for clean trend following without excessive noise EMA: Classic choice for trending markets, faster than SMA while maintaining reasonable stability For Ranging/Choppy Markets: Kalman Filter, Super Smoother: Superior noise filtering, reduces false signals in sideways action, helps identify genuine reversal points Laguerre Filters: Smooth oscillations with adjustable lag, excellent for mean reversion strategies in ranges T3, TMA: Very smooth output, filters out market noise effectively, clearer extreme zone identification For Adaptive Market Conditions: KAMA: Automatically adjusts to market efficiency, fast in trends and slow in congestion, reduces whipsaws during transitions FRAMA: Adapts to fractal market structure, responsive during directional moves, conservative during uncertainty McGinley Dynamic: Self-adjusting smoothing, follows price naturally, minimizes lag in trending markets while filtering noise in ranges For Conservative Long-Term Analysis: SMA: Traditional choice, predictable behavior, widely understood characteristics RMA (Wilder's): Smooth oscillations, reduced sensitivity to outliers, consistent behavior across market conditions Laguerre Binomial Filter: Extremely smooth output, ideal for weekly/monthly timeframe analysis, eliminates short-term noise completely Source Selection: Close (Default): Standard choice using closing prices, most common and widely tested HLC3 or OHLC4: Incorporates more price information, reduces impact of sudden spikes or gaps, smoother oscillator behavior HL2: Midpoint of high-low range, emphasizes intrabar volatility, useful for markets with wide intraday ranges Custom Source: Can use other indicators as input (e.g., Heikin Ashi close, smoothed price), creates derivative momentum indicators 📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES Responsiveness Characteristics: Traditional SMA-Based Stochastic: Fixed lag regardless of market conditions, consistent delay of approximately (K Smoothing + D Smoothing) / 2 periods Equal treatment of trending and ranging markets, no adaptation to volatility changes Predictable behavior but suboptimal in varying market regimes Enhanced Version with Adaptive Algorithms: KAMA and FRAMA reduce lag by up to 40-60% in strong trends compared to SMA while maintaining similar smoothness in ranges ZLEMA and T3 provide near-zero lag characteristics for early entry signals with acceptable noise levels Kalman Filter and Super Smoother offer superior noise rejection, reducing false signals in choppy conditions by estimations of 30-50% compared to SMA Performance improvements vary by algorithm selection and market conditions Signal Quality Improvements: Adaptive algorithms help reduce whipsaw trades in ranging markets by adjusting sensitivity dynamically Advanced filters (Kalman, Laguerre, Super Smoother) provide clearer extreme zone readings for mean reversion strategies Zero-lag methods (ZLEMA, DEMA, TEMA) generate earlier crossover signals in trending markets for improved entry timing Smoother algorithms (T3, Laguerre Binomial) reduce false extreme zone touches for more reliable overbought/oversold signals Comparison with Standard Implementations: Versus Basic Stochastic: Enhanced version offers 21 smoothing options versus single SMA, allowing optimization for specific market characteristics and trading styles Versus RSI: Stochastic provides range-bound measurement (0-100) with clear extreme zones, RSI measures momentum speed, Stochastic offers clearer visual overbought/oversold identification Versus MACD: Stochastic bounded oscillator suitable for mean reversion, MACD unbounded indicator better for trend strength, Stochastic excels in range-bound and oscillating markets Versus CCI: Stochastic has fixed bounds (0-100) for consistent interpretation, CCI unbounded with variable extremes, Stochastic provides more standardized extreme readings across different instruments Flexibility Advantages: Single indicator adaptable to multiple strategies through algorithm selection rather than requiring different indicator variants Ability to optimize smoothing characteristics for specific instruments (e.g., smoother for crypto volatility, faster for forex trends) Multi-timeframe analysis with consistent algorithm across timeframes for coherent momentum picture Backtesting capability with algorithm as optimization parameter for strategy development Limitations and Considerations: Increased complexity from multiple algorithm choices may lead to over-optimization if parameters are curve-fitted to historical data Adaptive algorithms (KAMA, FRAMA) have adjustment periods during market regime changes where signals may be less reliable Zero-lag algorithms sacrifice some smoothness for responsiveness, potentially increasing noise sensitivity in very choppy conditions Performance characteristics vary significantly across algorithms, requiring understanding and testing before live implementation Like all oscillators, Stochastic can remain in extreme zones for extended periods during strong trends, generating premature reversal signals USAGE NOTES This indicator is designed for technical analysis and educational purposes to provide traders with enhanced flexibility in momentum analysis. The Stochastic Oscillator has limitations and should not be used as the sole basis for trading decisions. Important Considerations: Algorithm performance varies with market conditions - no single smoothing method is optimal for all scenarios Extreme zone signals (overbought/oversold) indicate potential reversal areas but not guaranteed turning points, especially in strong trends Crossover signals may generate false entries during sideways choppy markets regardless of smoothing algorithm Divergence patterns require confirmation from price action or additional indicators before trading Past indicator characteristics and backtested results do not guarantee future performance Always combine Stochastic analysis with proper risk management, position sizing, and multi-indicator confirmation Test selected algorithm on historical data of specific instrument and timeframe before live trading Market regime changes may require algorithm adjustment for optimal performance The enhanced smoothing options are intended to provide tools for optimizing the indicator's behavior to match individual trading styles and market characteristics, not to create a perfect predictive tool. Responsible usage includes understanding the mathematical properties of selected algorithms and their appropriate application contexts.
Pine Script® indicator
by DCAUT
🐬RSI_CandleRSI_Candle Calculates the RSI based on the open, high, low, and close prices, and displays it in the form of candles. The overbought and oversold zones are highlighted with background colors, which become darker as the RSI value approaches 100 or 0. ----- RSI_Candle RSI를 시가, 고가, 저가, 종가로 계산하여 캔들로 보여줍니다. 과매수/과매도 구간에서 배경색으로 보여주며, 100/0에 가까울수록 배경색이 짙어집니다. -----
Pine Script® indicator
by BossOfDolphinGang_
Reversal Probability Meter PRO [optimized for Xau/Usd m5]🎯 Reversal Probability Meter PRO A powerful multi-factor reversal probability detector that calculates the likelihood of bullish or bearish reversals using RSI, EMA bias, ATR spikes, candle patterns, volume spikes, and higher timeframe (HTF) trend alignment. 🧩 MAIN FEATURES 1. Reversal Probability (Bullish & Bearish) Displays two key metrics: Bull % — probability of bullish reversal Bear % — probability of bearish reversal These are computed using RSI, EMAs, ATR, demand/supply zones, candle confirmations, and volume spikes. 📊 Interpretation: Bull % > 70% → Buying pressure building up Bull % > 85% → Strong bullish reversal confirmed Bear % > 70% → Selling pressure building up Bear % > 85% → Strong bearish reversal confirmed 2. Alert Probability Threshold Adjustable via alertThreshold (default = 85%). Alerts trigger only when probability ≥ threshold, and confirmed by zone + volume spike + candle pattern. 🔔 Alerts Available: ✅ Bullish Smart Reversal 🔻 Bearish Smart Reversal To activate: Right-click chart → “Add alert” → choose the alert condition from the indicator. 3. Demand / Supply Zone Detection The script determines the price position within the last zoneLook (default 30) bars: 🟢 DEMAND → Lower 35% of range (potential bounce zone) 🔴 SUPPLY → Upper 35% of range (potential rejection zone) ⚪ MID → Neutral area 📘 Purpose: Validates reversals based on context: Bullish only valid in Demand zones Bearish only valid in Supply zones 4. Higher Timeframe (HTF) Trend Alignment Reads EMA bias from a higher timeframe (default = 15m) for trend confirmation. Reversals against HTF trend are automatically weighted down prevents false countertrend signals. 📈 Example: M5 chart under M15 downtrend → Bullish probability is reduced. 5. Candle Confirmation Patterns Two key price action confirmations: Bullish: Engulfing or Pin Bar Bearish: Engulfing or Pin Bar A valid reversal requires both a candle confirmation and a volume spike. 6. Volume & ATR Spike Filters Volume Spike: volume > SMA(20) × 1.3 ATR Spike: ATR > SMA(ATR, 50) × volMult 🎯 Ensures that only strong market moves with real energy are considered valid reversals. 7. Reversal Momentum Histogram A color-gradient oscillator showing the momentum difference: Green = bullish dominance Red = bearish dominance Flat near 0 = neutral Controlled by showOscillator toggle. 8. Smart Info Panel A compact dashboard displayed on the top-right with 4 rows: Row Info Description 1 Bull % Bullish reversal probability 2 Bear % Bearish reversal probability 3 Zone Market context (DEMAND / SUPPLY / MID) 4 Signal Strength Current signal intensity (probability %) Dynamic Colors: 90% → Bright (strong signal) 75–90% → Yellow/Orange (medium) <75% → Gray (weak) 9. Sensitivity Mode Fine-tunes indicator reactivity: 🟥 Aggressive: Detects reversals early (more signals, less accurate) 🟨 Normal: Balanced, default mode 🟩 Conservative: Filters only strongest reversals (fewer but more reliable) 10. Custom Color Options Customize bullish and bearish colors via bullBaseColor and bearBaseColor inputs for your preferred chart theme. ⚙️ HOW TO USE Add to Chart → Paste the script into Pine Editor → “Add to chart”. Select Timeframe → Best for M5–M30 (scalping/intraday). → H1–H4 for swing trading. Monitor the Info Panel: Bull % ≥ 85% + Zone = Demand → Strong bullish reversal signal Bear % ≥ 85% + Zone = Supply → Strong bearish reversal signal Watch the Histogram: Rising green bars = bullish momentum gaining Deep red bars = bearish momentum gaining Enable Alerts: Right-click chart → “Add alert” Choose Bullish Smart Reversal or Bearish Smart Reversal 🧠 TRADING TIPS Use Conservative mode for noisy lower timeframes (M5–M15). Use Aggressive mode for higher timeframes (H1–H4). Combine with manual support/resistance or zone boxes for precision entries. Personally i use Order Block. Best reversal setups occur when all align: Bull % > 85% Zone = DEMAND Volume spike present Candle = Bullish engulfing HTF trend supportive
Pine Script® indicator
by aganac3
ADX - Globx Options & Futures 2.0The ADX Globx Options & Futures is a custom-built trend strength indicator designed to replicate and enhance the classic Average Directional Index (ADX) model, commonly used in professional trading platforms such as IQ Option. This version is optimized for options and futures trading, providing precise directional strength readings through adaptive smoothing and configurable parameters. Concept and Logic This indicator measures the strength of the current trend, regardless of its direction (bullish or bearish), by comparing directional movement between price highs and lows over a defined period. It uses three main components: +DI (Positive Directional Indicator): represents bullish strength. –DI (Negative Directional Indicator): represents bearish strength. ADX (Average Directional Index): measures the intensity of the prevailing trend, independent of direction. The script follows the original logic proposed by J. Welles Wilder Jr., but introduces enhanced smoothing flexibility. Users can choose between EMA (Exponential Moving Average) and Wilder’s RMA (Running Moving Average) for both DI and ADX calculations, allowing closer alignment with various platform implementations (IQ Option, MetaTrader, etc.). How It Works Directional Movement Calculation The script computes upward and downward movements (+DM and –DM) by comparing the differences in highs and lows between consecutive candles. Only positive directional changes that exceed the opposite side are considered. This ensures each bar contributes only one valid directional movement. True Range and Smoothing The True Range (TR) is calculated using ta.tr(true) to include price gaps—replicating how professional derivatives platforms account for volatility jumps. Both TR and DM values are smoothed using the selected averaging method (EMA or Wilder). Directional Index and ADX The smoothed +DI and –DI values are normalized over the True Range to form the Directional Index (DX), which measures the percentage difference between the two. The ADX is then derived by smoothing the DX values, providing a stable reading of overall market strength. Visual Representation The ADX (white line) indicates the overall trend strength. The +DI (dark blue) and –DI (dark red) lines show which side (bullish or bearish) is currently dominant. Reference levels at 20 and 25 serve as strength thresholds: Below 20 → Weak or sideways market. Above 25 → Strong and directional trend. Usage and Interpretation When ADX rises above 25, the market shows a strong trend — use +DI > –DI for bullish confirmation, or the opposite for bearish momentum. A falling ADX suggests decreasing trend strength and potential consolidation. The default parameters (ADX Length = 34, DI Length = 34, both smoothed by EMA) match IQ Option’s internal ADX configuration, ensuring consistency between platforms. Works on any timeframe or asset class, but is especially tuned for futures and options volatility dynamics. Originality and Improvements Unlike many open-source ADX indicators, this version: Recreates IQ Option’s 34-length EMA-based ADX calculation with exact parameter alignment. Provides selectable smoothing algorithms (EMA or Wilder) to switch between modern and classic formulations. Uses dark-theme-optimized visuals with fine line weight and subtle contrast for clean visibility. Maintains constant guide levels (20/25) rendered globally for precision and style compliance in Pine Script v6. Is fully rewritten for Pine Script v6, ensuring compatibility and optimized execution. Recommended Use Combine with trend-following systems or breakout strategies. Ideal for identifying market strength before engaging in options directionals or futures entries. Use the ADX to confirm breakout momentum or filter sideways markets. Disclaimer This script is for educational and analytical purposes. It does not constitute financial advice or a trading signal. Users are encouraged to validate the indicator within their own trading strategies and risk frameworks.
Pine Script® indicator
by enoccv_gxof
MTF RSI Heatmap)# MTF RSI Heatmap — v2.7.2 **Hybrid Higher-TF Trend + Intraday Impulse Detection + Smart Counters & Alerts** Turn your lower pane into a **multi-timeframe market bias dashboard**. This heatmap blends classic RSI momentum with a **hybrid Daily/Weekly MA-stack trend** and an **intraday impulse override** that flags fast moves *as they happen*. Clean, configurable, and built for real trading flow. --- ## What it shows * **6 stacked rows = 6 timeframes** (bottom → top). * **Colors**: Green = Bull, Red = Bear, Yellow = Neutral. * **Header counter**: `Bull X/6 | Bear Y/6` = live agreement across visible rows. * **Impulse markers** ▲/▼ on intraday rows (5m/15m/60m/240m) when a shock move triggers. * **Signal bar**: A thin column above the top row when at least **N of 6** rows align (configurable). --- ## Why it’s different * **Impulse Override (intraday)** Detects sharp moves using % change over the last *N* bars, optionally gated by **volume > SMA × multiplier**. This catches dumps/pops earlier than RSI alone. * **Hybrid D/W (structure over noise)** Daily/Weekly rows can use an **MA stack (8/21/55)** instead of RSI for a more stable higher-timeframe trend read. Optional **price > fast MA** filter for stricter confirmation. * **Intrabar option** Flip rows **during the bar** for early reads (accepting repaint on TF close), or keep it close-only for no surprises. --- ## Key features * 🌈 **Theme**: Classic or High-Contrast colors. * 🧠 **RSI thresholds**: Bull above 55, Bear below 45 (editable). * 🧲 **RSI smoothing** (EMA) for intraday rows to reduce flicker. * 🧰 **Compact left legend** with adjustable text size & opacity. * 🚨 **Alerts**: * **Impulse-only** (per TF and “any intraday”) * **N-of-6 confirmation** (bull/bear) --- ## Recommended settings (fast opens & news) * **Impulse**: `Bars = 1–2`, `Threshold = 0.25–0.35%`, `Vol confirm = ON`, `Multiplier = 1.3–1.5`. * **Hybrid D/W**: `ON`, `EMA 8/21/55`, `Price filter = ON`. * **Intrabar**: `ON` if you want intra-bar updates (repaints at TF close). --- ## How to read it 1. **Row scan**: Are the bottom (fast) rows aligning first? That’s early momentum. 2. **Header counter**: Look for 4+/6 agreement as momentum broadens. 3. **Signal bar**: Acts as a “go/no-go” confirmation when your threshold is met. 4. **Impulse ▲/▼**: Use as a **heads-up** for acceleration; then watch if rows cascade in that direction. --- ## Alerts (exact names) Create alerts with these built-ins: * **Impulse UP — any intraday** * **Impulse DOWN — any intraday** * **Impulse UP — TF1 / TF2 / TF3 / TF4** * **Impulse DOWN — TF1 / TF2 / TF3 / TF4** * **Bull confirmation** (N-of-6) * **Bear confirmation** (N-of-6) Tip: Use **Once per bar** or **Once per bar close** depending on whether you enabled *Intrabar*. --- ## Inputs overview * **Timeframes & visibility** per row. * **RSI**: length, bull/bear thresholds, optional EMA smoothing (intraday only). * **Impulse**: bars, %, volume confirm, SMA length, multiplier, markers. * **Hybrid D/W**: MA type (EMA/SMA/HMA), 8/21/55 lengths, price filter. * **Theme & Legend**: color theme, label size (Tiny/Small/Normal), legend opacity. * **Signal**: N required for confirmation (default 4). --- ## Pro tips * Combine with **session opens**, **VWAP**, and **liquidity levels**. * If you trade breakouts, let **impulse triggers** cue attention, then wait for **N-of-6** confirmation. * For swing bias, lean on **Hybrid D/W**—it changes slower, but with intent. --- ## Notes & limitations * **Intrabar = repaint expected** on higher-TF closes—by design for earlier context. * Colors/thresholds are general guidance, not signals by themselves. * Past performance ≠ future results; **this is not financial advice**. --- If you enjoy this, drop a ⭐ and tell me what you want next: background shading on confirmation, tooltips with RSI/ROC per row, or a MACD/RSI hybrid mode. Trade sharp! ✨
Pine Script® indicator
by andrefox333
RSI Bars - OnlyFlowThis indicator applies the RSI (Relative Strength Index) to candle coloring so that bar colors reflect momentum conditions instead of a fixed scheme. RSI Logic: Bars shift color when RSI values move into overbought or oversold regions, with intensity scaled by how far RSI extends beyond the thresholds. Gradient / Step Mode: Choose between a smooth gradient or a 3-step palette to visualize strength. Directional Neutral Colors: Neutral zones can follow candle direction for clearer trend context. Customization: Overbought/oversold levels and color palettes are user-configurable. Optional RSI Panel: An RSI plot with overbought/oversold lines can be enabled in a separate pane if desired. This tool is meant to give traders a more intuitive view of RSI conditions directly on price bars, helping to quickly see momentum extremes without needing to glance away from the chart.
Pine Script® indicator
by ofderk
Relative Strength index 2xRelative Strength Index 2× The RSI*2 by AZly is an advanced dual-RSI indicator that allows traders to analyze momentum from two distinct perspectives — short-term and medium-term — on a single chart. It combines RSI precision with multi-timeframe flexibility, giving a clear view of both immediate and underlying momentum trends. ⚙️ How It Works This indicator calculates and plots two fully independent RSI lines, each with customizable settings: RSI 1 (Main RSI) : Captures medium-term momentum, ideal for trend and context. RSI 2 (Fast RSI) : Reacts quickly to short-term moves, identifying overbought and oversold conditions. Both RSIs include: Custom timeframe, source, and smoothing method (SMA, EMA, WMA, VWMA, HMA, SMMA). Gradient zones to visualize momentum strength and reversals. Adjustable levels and colors for clear chart presentation. 📘 Andrew Cardwell Zones (RSI 1) RSI 1 uses Andrew Cardwell’s “range rules” to distinguish bullish and bearish momentum phases: Bullish Range: RSI holds between 40–80, finding support around 40–45. Bearish Range: RSI stays between 20–60, with rallies capped near 55–60. A breakout from one range into another often signals a trend phase transition — marking potential trend beginnings or endings. ⚡ Overbought/Oversold Zones (RSI 2) RSI 2 is designed for fast reactions and reversal detection: 95–100: Extreme overbought zone — potential exhaustion and short setup. 5–0: Extreme oversold zone — potential exhaustion and long setup. Crossing these levels highlights short-term momentum exhaustion , often preceding pullbacks or strong price reversals. 💡 Why It’s Better Compared to traditional RSI indicators, this version provides superior control and insight: Dual independent RSIs with separate timeframes and smoothing. Cardwell-style range recognition for better context of trend strength. Extreme bands for fast RSI 2 to time entries with precision. Dynamic gradient zones for intuitive visual interpretation. Multi-timeframe flexibility that adapts to any trading style. 🎯 Trading Concepts Trend Confirmation: RSI 1 above 50 (bullish range) confirms uptrend bias; below 50 (bearish range) confirms downtrend. Reversal Setup: RSI 2 hitting extreme zones (above 95 or below 5) while RSI 1 stays steady often signals exhaustion and reversal setups. Divergence Confirmation: When RSI 2 diverges from price and RSI 1 supports the direction, it strengthens reversal probability. Range Transition: A shift in RSI 1’s range (from bearish to bullish or vice versa) confirms a major change in market structure. 🕒 Trade Timing (Entry Ideas) Timing is one of the indicator’s strongest features. Wait for RSI 2 to reach an extreme zone (above 95 or below 5). Then confirm the direction with RSI 1 — trades are most effective when RSI 1’s range aligns with the anticipated move. Buy Setup: RSI 1 in bullish range + RSI 2 rebounds upward from the 5 zone. Sell Setup: RSI 1 in bearish range + RSI 2 turns down from the 95 zone. Best Timing: Enter when RSI 2 crosses back inside the 10–90 range in the same direction as RSI 1’s trend. This captures momentum just as it resumes — avoiding early or late entries. 🔷 M & W Patterns (RSI 2) RSI 2 also reveals short-term exhaustion structures: “ M ” Formation: Two RSI peaks near 95–100 — bearish reversal setup. “ W ” Formation: Two RSI troughs near 0–5 — bullish reversal setup. These shapes often appear before price reversals, offering early momentum clues. ⚠️ Important Trading Guidance It is strongly recommended not to trade against the prevailing trend or attempt to pick exact tops or bottoms. The indicator works best when used in alignment with trend direction. Counter-trend entries carry higher risk and lower probability. 📊 Recommended Use Ideal for momentum traders, scalpers, and multi-timeframe analysts seeking precise timing and context. Works on all markets — forex, crypto, stocks, indexes, and commodities.
Pine Script® indicator
by YunakAZly
Momentum Variance OscillatorWhat MVO measures: -PV (Price-Volume) Oscillator – how far price is from a volatility-scaled basis, then weighted by relative volume. - > 0 = bullish pressure; < 0 = bearish pressure. -|PV| larger ⇒ stronger momentum. -Signal line (EMA of PV) – a smoother track of PV; crossings flag momentum shifts. -Zero line gradient – instantly shows direction (greenish bull / reddish bear) and strength (paler → stronger). -Extreme bands (±obLevel) – “hot zone” thresholds; being beyond them = exceptional push. -Variance histogram – MACD-like view (PV minus slower PV-EMA) to see thrust building vs. fading. -(Optional) Bar coloring & background tint – paints price bars and/or the panel on key events so you can read the regime at a glance. -Auto-Tune – searches a grid of (obLevel, weakLvl) pairs and (optionally) auto-applies the best, ranked by CAGR vs. drawdown. Core signals & how to trade them: 1) Define the regime: -Bullish regime: PV above 0 and/or PV above Signal; zero line is in bull gradient. -Bearish regime: PV below 0 and/or PV below Signal; zero line is in bear gradient. -Action: Prefer trades with the regime (avoid fading strong color/strength unless you have a clear reversal setup). 2) Entries: Momentum entry: -Long: PV crosses above Signal while PV > 0. -Short: PV crosses below Signal while PV < 0. Breakout/acceleration: -Long add-on: PV crosses above +obLevel (extreme top) and holds. -Short add-on: PV crosses below −obLevel (extreme bottom) and holds. -Histogram confirm: Growing bars in your direction = thrust improving; shrinking/flip = thrust stalling. 3) Exits / risk: -Soft exit / tighten stops: PV loses the extreme and re-enters inside, or histogram fades/turns against you. -Hard exit / reverse: Opposite PV↔Signal crossover and PV crosses the zero line. -Weak zone filter: If |PV| < weakLvl, treat signals as lower quality (smaller size or skip). 4) Practical setup - Suggested defaults (good starting point): -Signal length: 26 -Volume power: 0.50 -obLevel (extreme): 2.00 -weakLvl: 0.75 -Show histogram & dots: On -Auto-Tune (recommended) -Turn Auto-Select Best ON. MVO will scan obLevel 1.50→3.00 (step 0.05) and weakLvl 0.50→1.00 (step 0.05), then use the top-ranked pair (CAGR/(1+MDD)). -If you want to see the top combos, enable the Optimizer Table (Top-3). 5) Visual options -Bar Colors: Regime+Strength – bars follow the zero-line gradient (great for quick read). -Extremes – paint only when beyond ±obLevel. -Cross Signals – paint only on the bar that crosses an extreme. -Background on breach: A one-bar tint when PV crosses an extreme. 6) Example playbook: Long setup: -Zero line shows bull gradient and PV > 0. -PV crosses above Signal (entry). -If PV drives above +obLevel, consider add-on; trail under the last minor swing or use ATR. -Exit/trim on PV crossing below Signal or histogram turning negative; flatten on a drop through 0. Short setup mirrors the above on the bear side. 7) Tips to avoid common traps: -Don’t fade strong extremes without clear confirmation (e.g., PV re-entering inside + histogram flip). -Respect the weak zone: if |PV| < weakLvl, signals are fragile—size down or wait. -Align with structure: higher-timeframe trend and SR improve expectancy. -Instrument personality matters: use Auto-Tune or re-calibrate obLevel/weakLvl across assets/timeframes. 8) Alerts you can set: -Bull Signal X – PV crossed above Signal -Bear Signal X – PV crossed below Signal -Bull Baseline X – PV crossed above 0 -Bear Baseline X – PV crossed below 0
Pine Script® indicator
by s3raphic333
Katana_Fox RSI Pro - Advanced Momentum Indicator with Clear BUOverview: Connors RSI Pro is a sophisticated enhancement of the classic Connors RSI indicator, designed for traders who demand professional-grade tools. This premium version combines multiple momentum components with intelligent signaling and beautiful visualization to give you an edge in the markets. Key Features: 🎯 Clear BUY/SELL Signal System BUY signals in green when CRSI crosses above oversold level SELL signals in red when CRSI crosses below overbought level Clean, professional labels that are easy to read Customizable overbought/oversold levels (70/30 default) 🎨 Professional Visualization Modern color scheme that adapts to market conditions Customizable background fills for better readability Smooth, easy-to-read line plotting ⚡ Enhanced Calculations Triple-component momentum analysis (RSI, UpDown RSI, Percent Rank) EMA smoothing for reduced noise and false signals Configurable lengths for each component 🔔 Advanced Alert System 4 distinct alert conditions for various market scenarios Compatible with TradingView's native alert system Perfect for automated trading strategies Input Parameters: RSI Length (3): Period for standard RSI calculation UpDown Length (2): Period for UpDown RSI component ROC Length (100): Period for Rate of Change percentile ranking Signal Alerts: Toggle BUY/SELL signals on/off Custom Colors: Choose between classic and modern color schemes Trading Signals: BUY (Green Label): Bullish signal when CRSI crosses above oversold level SELL (Red Label): Bearish signal when CRSI crosses below overbought level Background Colors: Visual zones indicating momentum strength Ideal For: Swing traders seeking momentum reversals Day traders looking for overbought/oversold conditions Algorithmic traders needing reliable signals Technical analysts wanting multi-timeframe confirmation How to Use: Oversold Bounce: Enter long when CRSI shows BUY signal above 30 Overbought Rejection: Enter short when CRSI shows SELL signal below 70 Trend Confirmation: Use the 50-level crossover for trend direction Divergence Trading: Look for price/indicator divergences at extremes Upgrade your trading arsenal with Connors RSI Pro - where professional analytics meet clear trading signals!
Pine Script® indicator
by Katana_Fox
FirstStrike Long 200 - Daily Trend Rider [KedArc Quant]Strategy Description FirstStrike Long 200 is a disciplined, long-only momentum strategy designed for daily "strike-first" entries in trending markets. It scans for RSI momentum above a customizable trigger (default 50), confirmed by EMA trend filters, and limits you to *exactly one trade per day* to avoid overtrading. It uses ATR for dynamic risk management (1.5x stop, 2:1 RR target) and optional trailing stops to ride winners. Backtested with realistic commissions and sizing, it prioritizes low drawdowns (<1% max in tests) over aggressive gains—ideal for swing traders seeking quality setups in bull runs. Why It's Different from Other Strategies Unlike generic RSI crossover bots or EMA ribbon mashups that spam signals and bleed in chop, FirstStrike enforces a "one-and-done" daily gate, blending precision momentum (RSI modes with grace/sustain) with robust filters (volume, sessions, rearm dips). How It Helps Traders - Reduces Emotional Trading: One entry/day forces discipline—miss a setup? Wait for tomorrow. Perfect for busy pros avoiding screen fatigue. - Adapts to Regimes: Switch modes for trends ("Cross+Grace") vs. ranges ("Any bar")—boosts win rates 5-10% in backtests on high-beta names like . - Risk-First Design: ATR scales stops to vol capping DD at 0.2% while targeting 2R winners. Trailing option locks +3-5% runs without early exits. - Quick Insights: Labels/alerts flag entries with RSI values; bgcolor highlights signals for visual scanning. Helps spot "first-strike" edges in uptrends, filtering ~60% noise. Why This Is Not a Mashup This isn't a Frankenstein of off-the-shelf indicators—while it uses standard RSI/EMA/ATR (core Pine primitives), the innovation lies in: - Custom Trigger Engine: Switchable modes (e.g., "Cross+Grace+Sustain" requires post-cross hold) prevent perpetual signals, unlike basic `ta.crossover()`. - Daily Rearm Gate: Resets eligibility only after a dip (if enabled), tying momentum to mean-reversion—original logic not found in common scripts. - Per-Day Isolation: `var` vars + `ta.change(time("D"))` ensure zero pyramiding/overlaps, beyond simple session filters. All formulae are derived in-house for "first-strike" (early RSI pops in trends), not copied from public repos. Input Configurations Let's break down every input in the FirstStrike Long 200 strategy. These settings let you tweak the strategy like a dashboard—start with defaults for quick testing, then adjust based on your asset or timeframe (5m for intraday). They're grouped logically to keep things organized, and most have tooltips in the script for quick reminders. RSI / Trigger Group: The Heart of Momentum Detection This is where the magic starts—the strategy hunts for "upward energy" using RSI (Relative Strength Index), a tool that measures if a stock is overbought (too hot) or oversold (too cold) on a 0-100 scale. - RSI Length: How many bars (candles) back to calculate RSI. Default is 14, like a 14-day window for daily charts. Shorter (e.g., 9) makes it snappier for fast markets; longer (21) smooths out noise but misses quick turns. - Trigger Level (RSI >= this): The key RSI value where the strategy says, "Go time!" Default 50 means enter when RSI crosses or holds above the neutral midline. Why is this trigger required? It acts as your "green light" filter—without it, you'd enter on every tiny price wiggle, leading to endless losers. RSI above this shows building buyer power, avoiding weak or sideways moves. It's essential for quality over quantity, especially in one-trade-per-day setups. - Trigger Mode: Picks how strict the RSI signal must be. Options: "Cross only" (exact RSI crossover above trigger—super precise, fewer trades); "Cross+Grace" (crossover or within a grace window after—gives a second chance); "Cross+Grace+Sustain" (crossover/grace plus RSI holding steady for bars—best for steady climbs); "Any bar >= trigger" (looser, any bar above—more opportunities but riskier in chop). Start with "Any bar" for trends, switch to "Cross only" for caution. - Grace Window (bars after cross): If mode allows, how many bars post-RSI-cross you can still enter if RSI dips but recovers. Default 30 (about 2.5 hours on 5m). Zero means no wiggle room—pure precision. - Sustain Bars (RSI >= trigger): In sustain mode, how many straight bars RSI must stay above trigger. Default 3 ensures it's not a fluke spike. - Require RSI Dip Below Rearm Before Any Entry?: A yes/no toggle. If on, the strategy "rearms" only after RSI dips below a low level (like a breather), preventing back-to-back signals in overextended rallies. - Rearm Level (if requireDip=true): The dip threshold for rearming. Default 45—RSI must go below this to reset eligibility. Lower (30) for deeper pullbacks in volatile stocks. For the trigger level itself, presets matter a lot—default 50 is neutral and versatile for broad trends. Bump to 55-60 for "strong momentum only" (fewer but higher-win trades, great in bull runs like tech surges); drop to 40-45 for "early bird" catches in recoveries (more signals but watch for fakes in ranges). The optimize hint (40-60) lets you test these in TradingView to match your risk—higher presets cut noise by 20-30% in backtests. Trend / Filters Group: Keeping You on the Right Side of the Market These EMAs (Exponential Moving Averages) act like guardrails, ensuring you only long in uptrends. - EMA (Fast) Confirmation: Short-term EMA for price action. Default 20 periods—price must be above this for "recent strength." Shorter (10) reacts faster to intraday pops. - EMA (Trend Filter): Long-term EMA for big-picture trend. Default 200 (classic "above the 200-day" rule)—price above it confirms bull market. Minimum 50 to avoid over-smoothing. Optional Hour Window Group: Timing Your Strikes Avoid bad hours like lunch lulls or after-hours tricks. - Restrict by Session?: Yes/no for using exact market hours. Default off. - Session (e.g., 0930-1600 for NYSE): Time string like "0930-1600" for open to close. Auto-skips pre/post-market noise. - Restrict by Hour Range?: Fallback yes/no for simple hours. Default off. - Start Hour / End Hour: Clock times (0-23). Defaults 9-15 ET—focus on peak volume. Volume Filter Group: No Volume, No Party Confirms conviction—big moves need big participation. - Require Volume > SMA?: Yes/no toggle. Default off—only fires on above-average volume. - Volume SMA Length: Periods for the average. Default 20—compares current bar to recent norm. Risk / Exits Group: Protecting and Profiting Smartly Dynamic stops based on volatility (ATR = Average True Range) keep things realistic. - ATR Length: Bars for ATR calc. Default 14—measures recent "wiggle room" in price. - ATR Stop Multiplier: How far below entry for stop-loss. Default 1.5x ATR—gives breathing space without huge risk - Take-Profit R Multiple: Reward target as multiple of risk. Default 2.0 (2:1 ratio)—aims for twice your stop distance. - Use Trailing Stop?: Yes/no for profit-locking trail. Default off—activates after entry. - Trailing ATR Multiplier: Trail distance. Default 2.0x ATR—looser than initial stop to let winners run. These inputs make the strategy plug-and-play: Defaults work out-of-box for trending stocks, but tweak RSI trigger/modes first for your style. Always backtest changes—small shifts can flip a 40% win rate to 50%+! Outputs (Visuals & Alerts): - Plots: Blue EMA200 (trend line), Orange EMA20 (price filter), Green dashed entry price. - Labels: Green "LONG" arrow with RSI value on entries. - Background: Light green highlight on signal bars. - Alerts: "FirstStrike Long Entry" fires on conditions (integrates with TradingView notifications). Entry-Exit Logic Entry (Long Only, One Per Day): 1. Daily Reset: New day clears trade gate and (if required) rearm status. 2. Filters Pass: Time/session OK + Close > EMA200 (trend) + Close > EMA20 (price) + Volume > SMA (if enabled) + Rearmed (dip below rearm if toggled). 3. Trigger Fires: RSI >= trigger via selected mode (e.g., crossover + grace window). 4. Execute: Enter long at close; set daily flag to block repeats. Exit: - Stop-Loss: Entry - (ATR * 1.5) – dynamic, vol-scaled. - Take-Profit: Entry + (Risk * 2.0) – fixed RR. - Trailing (Optional): Activates post-entry; trails at Close - (ATR * 2.0), updating on each bar for trend extension. No shorts or hedging—pure long bias. Formulae Used - RSI: `ta.rsi(close, rsiLen)` – Standard 14-period momentum oscillator (0-100). - EMAs: `ta.ema(close, len)` – Exponential moving averages for trend/price filters. - ATR: `ta.atr(atrLen)` – True range average for stop sizing: Stop = Entry - (ATR * mult). - Volume SMA: `ta.sma(volume, volLen)` – Simple average for relative strength filter. - Grace Window: `bar_index - lastCrossBarIndex <= graceBars` – Counts bars since RSI crossover. - Sustain: `ta.barssince(rsi < trigger) >= sustainBars` – Consecutive bars above threshold. - Session Check: `time(timeframe.period, sessionStr) != 0` – TradingView's built-in session validator. - Risk Distance: `riskPS = entry - stop; TP = entry + (riskPS * RR)` – Asymmetric reward calc. FAQ Q: Why only one trade/day? A: Prevents revenge trading in volatile sessions . Backtests show it cuts losers by 20-30% vs. multi-entry bots. Q: Does it work on all assets/timeframes? A: Best for trending stocks/indices on 5m-1H. Test on crypto/forex with wider ATR mult (2.0+). Q: How to optimize? A: Use TradingView's optimizer on RSI trigger (40-60) and EMA fast (10-30). Aim for PF >1.0 over 1Y data. Q: Alerts don't fire—why? A: Ensure `alertcondition` is enabled in script settings. Test with "Any alert() function calls only." Q: Trailing stop too loose? A: Tune `trailMult` to 1.5 for tighter; it activates alongside fixed TP/SL for hybrid protection. Glossary - Grace Window: Post-RSI-cross period (bars) where entry still allowed if RSI holds trigger. - Rearm Dip: Optional pullback below a low RSI level (e.g., 45) to "reset" eligibility after signals. - Profit Factor (PF): Gross profit / gross loss—>1.0 means winners outweigh losers. - R Multiple: Risk units (e.g., 2R = 2x stop distance as target). - Sustain Bars: Consecutive bars RSI stays >= trigger for mode confirmation. Recommendations - Backtest First: Run on your symbols (/) over 6-12M; tweak RSI to 55 for +5% win rate. - Live Use: Start paper trading with `useSession=true` and `useVol=true` to filter noise. - Pairs Well With: Higher TF (daily) for bias; add ADX (>25) filter for strong trends (code snippet in prior chats). - Risk Note: 10% sizing suits $100k+ accounts; scale down for smaller. Not financial advice—past performance ≠ future. - Publish Tip: Add tags like "momentum," "RSI," "long-only" on TradingView for visibility. Strategy Properties & Backtesting Setup FirstStrike Long 200 is configured with conservative, realistic backtesting parameters to ensure reliable performance simulations. These settings prioritize capital preservation and transparency, making it suitable for both novice and experienced traders testing on stocks. Initial Capital $100,000 Standard starting equity for portfolio-level testing; scales well for retail accounts. Adjust lower (e.g., $10k) for smaller simulations. Base Currency Default (USD) Aligns with most US equities (e.g., NASDAQ symbols); auto-converts for other assets. Order Size 1 (Quantity) Fixed share contracts for simplicity—e.g., buys 1 share per trade. For % of equity, switch to "Percent of Equity" in strategy code. Pyramiding 0 Orders No additional entries on open positions; enforces strict one-trade-per-day discipline to avoid overexposure. Commission 0.1% Realistic broker fee (e.g., Interactive Brokers tier); factors in round-trip costs without over-penalizing winners. Verify Price for Limit Orders 0 Ticks No slippage delay on TPs—assumes ideal fills for historical accuracy. Slippage 0 Ticks Zero assumed slippage for clean backtests; real-world trading may add 1-2 ticks on volatile opens. These defaults yield low drawdowns (<0.3% max in tests) while capturing trend edges. For live trading, enable slippage (1-3 ticks) to mimic execution gaps. Always forward-test before deploying! ⚠️ Disclaimer This script is provided for educational purposes only. Past performance does not guarantee future results. Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
Pine Script® strategy
by kedarcquant
VWAP Deviation Oscillator [BackQuant]VWAP Deviation Oscillator Introduction The VWAP Deviation Oscillator turns VWAP context into a clean, tradeable oscillator that works across assets and sessions. It adapts to your workflow with four VWAP regimes plus two rolling modes, and three deviation metrics: Percent, Absolute, and Z-Score. Colored zones, optional standard deviation rails, and flexible plot styles make it fast to read for both trend following and mean reversion. What it does This tool measures how far price is from a chosen VWAP and expresses that gap as an oscillator. You can view the deviation as raw price units, percent, or standardized Z-Score. The plot can be a histogram or a line with optional fills and sigma bands, so you can quickly spot polarity shifts, overbought and oversold conditions, and strength of extension. VWAP modes track a session VWAP that resets (4H, Daily, Weekly) or a rolling VWAP that updates continuously over a fixed number of bars or days. Deviation modes let you choose the lens: Percent, Absolute, or Z-Score. Each highlights different aspects of stretch and mean pressure. Visual encoding uses a 10-zone color palette to grade the magnitude of deviation on both sides of zero. Volatility guards compute mode-specific sigma so thresholds are stable even when volatility compresses. Why this works VWAP is a high signal anchor used by institutions to gauge fair participation. Deviations around VWAP cluster in regimes: mild oscillations within a band, decisive pushes that signal imbalance, and standardized extremes that often precede either continuation or snapback. Expressing that distance as a single time series adds clarity: bias is the oscillator’s sign, risk context is its magnitude, and regime is the way it behaves around sigma lines. How to use it Trend following Favor the side of the zero line. Bullish when the oscillator is above zero and making higher swing highs. Bearish when below zero and making lower swing lows. Use +1 sigma and +2 sigma in your mode as strength tiers. Pullbacks that hold above zero in uptrends, or below zero in downtrends, are often continuation entries. Mean reversion Fade stretched readings when structure supports it. Look for tests of +2 sigma to +3 sigma that fail to progress and roll back toward zero, or the mirror on the downside. Z-Score mode is best when you want standardized gates across assets. Percent mode is intuitive for intraday scalps where a given percent stretch tends to mean revert. Session playbook Use Daily or Weekly VWAP for intraday or swing context. Rolling modes help when the asset lacks clean session boundaries or when you want a continuous anchor that adapts to liquidity shifts. Key settings VWAP computation VWAP Mode = 4 Hours, Daily, Weekly, Rolling (Bars), Rolling (Days). Session modes reset the VWAP when a new session begins. Rolling modes compute VWAP over a fixed trailing window. Rolling (Lookback: Bars) controls the trailing bar count when using Rolling (Bars). Rolling (Lookback: Days) converts days to bars at runtime and uses that trailing span. Use Close instead of HLC3 switches the price reference. HLC3 is smoother. Close makes the anchor track settlement more tightly. Deviation measurement Deviation Mode Percent : 100 * (Price / VWAP - 1). Good for uniform scaling across instruments. Absolute : Price - VWAP. Good when price units themselves matter. Z-Score : Standardizes the absolute residual by its own mean and standard deviation over Z/Std Window . Ideal for cross-asset comparability and regime studies. Z/Std Window sets the mean and standard deviation window for Z-Score mode. Volatility controls Percent Mode Volatility Lookback estimates sigma for percent deviations. Absolute Mode Volatility Lookback estimates sigma for absolute deviations. Minimum Sigma Guard (pct pts) prevents the percent sigma from collapsing to near zero in extremely quiet markets. Visualization Plot Type = Histogram or Line. Histogram emphasizes impulse and polarity changes. Line emphasizes trend waves and divergences. Positive Color / Negative Color define the palette for line mode. Histogram uses a 10-bucket gradient automatically. Show Standard Deviations plots symmetric rails at ±1, ±2, ±3 sigma in the current mode’s units. Fill Line Oscillator and Fill Opacity add a soft bias band around zero for line mode. Line Width affects both the oscillator and the sigma rails. Reading the zones The oscillator’s color and height map deviation to nine graded buckets on each side of zero, with deeper greens above and deeper reds below. In Percent and Absolute modes, those buckets are scaled by their mode-specific sigma. In Z-Score mode the bucket edges are fixed at 0.5, 1.0, 2.0, and 2.8. 0 to +1 sigma weak positive bias, usually rotational. +1 to +2 sigma constructive impulse. Pullbacks that hold above zero often continue. +2 to +3 sigma strong expansion. Watch for either trend continuation or exhaustion tells. Beyond +3 sigma statistical extreme. Requires structure to avoid fading too soon. Mirror logic applies on the negative side. Suggested workflows Trend continuation checklist Pick a session VWAP that matches your timeframe, for example Daily for intraday or Weekly for position trades. Wait for the oscillator to hold the correct side of zero and for a sequence of higher swing lows in the oscillator (uptrend) or lower swing highs (downtrend). Buy pullbacks that stabilize between zero and +1 sigma in an uptrend. Sell rallies that stabilize between zero and -1 sigma in a downtrend. Use the next sigma band or a prior price swing as your target reference. Mean reversion checklist Switch to Z-Score mode for standardized thresholds. Identify tests of ±2 sigma to ±3 sigma that fail to extend while price meets support or resistance. Enter on a polarity change through the prior histogram bar or a small hook in line mode. Fade back to zero or to the opposite inner band, then reassess. Notes on the three modes Percent is easy to reason about when you care about proportional stretch. It is well suited to intraday and multi-asset dashboards. Absolute tracks cash distance from VWAP. This is useful when instruments have tight ticks and you plan risk in price units. Z-Score standardizes the residual and is best for quant studies, cross-asset comparisons, and threshold research that must be scale invariant. What the alerts can tell you Polarity changes at zero can mark the start or end of a leg. Crosses of ±1 sigma identify overbought or oversold in the current mode’s units. Zone changes signal an upgrade or downgrade in deviation strength. Troubleshooting and edge cases If your instrument has long flat periods, keep Minimum Sigma Guard above zero in Percent mode so the rails do not vanish. In Rolling modes, very short windows will respond quickly but can whip around. Session modes smooth this by resetting at well known boundaries. If Z-Score looks erratic, increase Z/Std Window to stabilize the estimate of mean and sigma for the residual. Final thoughts VWAP is the anchor. The deviation oscillator is the narrative. By separating bias, magnitude, and regime into a simple stream you can execute faster and review cleaner. Pick the VWAP mode that matches your horizon, choose the deviation lens that matches your risk framework, and let the color graded zones guide your decisions.
Pine Script® indicator
by BackQuant