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Ultimate RSI Suite [BigBeluga]🔵 OVERVIEW The Ultimate RSI Suite elevates the classic RSI into a full professional trading system. It combines momentum analysis, advanced divergence detection, volatility-based RSI channels, multi-timeframe signals, deviation tracking, and reversal alerts into one powerful tool. This is no ordinary RSI — it’s a complete momentum intelligence engine designed to identify trend strength, exhaustion, breakout conditions, and reliable reversal points with high precision. ⚠️ Note: This suite enhances RSI with MTF dashboards, dynamic channels, deviation logic, and smart alerting — ideal for scalpers, swing traders, and institutional-style trend followers. 🔵 CONCEPTS Measures market momentum to detect overbought/oversold zones and trend health Tracks RSI behavior relative to dynamic channels (BB/Keltner/Donchian) Identifies regular bullish & bearish divergences Detects deviation moves after divergence to confirm trend continuation or exhaustion Multi-timeframe RSI conditions reveal higher-timeframe confluence Reversal triggers confirm early momentum shifts Overbought/oversold gradients visually highlight exhaustion zones 🔵 FEATURES Classic + Enhanced RSI with configurable lookback & price source RSI-Channel System (Bollinger, Keltner, Donchian) for volatility-adaptive trend structure RSI-Smoothing MA for trend direction filters RSI Reversal Signals for early trend inflection detection RSI Reversal Signals Deviation Levels +1 / +2 for advanced continuation confirmation Overbought/Oversold Gradient Zones at 35/65 or user-defined levels Divergence Engine for bullish & bearish momentum exhaustion signals On-Chart Divergence & Signals (full overlay capability) Divergence Engine Deviation Levels +1 / +2 for advanced continuation confirmation Multi-Timeframe Dashboard (RSI OB/OS, signals, divergences, channel breaks) • Hover your mouse over any signal cell to see how many bars ago it was triggered • Signals automatically expire after 50 bars Smart Alerts for divergence, reversals, channel breaks, and deviation triggers 🔵 HOW TO USE Enter long when RSI reverses from oversold & prints bullish divergence or a ▲ signal Enter short when RSI reverses from overbought & prints bearish divergence or ▼ Use channel breaks to confirm momentum expansions or trend shifts Look for deviation crosses (+1 / +2) for strong confirmation after divergence Track MTF table — more timeframe agreement = stronger conviction Avoid trading against MTF RSI extremes (OB/OS stacked zones) Combine with market structure or volume-based tools for maximum precision 🔵 ALERTS Includes full automation suite: Bullish / Bearish divergence Reversal signals (▲ / ▼) Channel breakouts (Up/Down) Deviation +1 / +2 confirmation triggers Extra RSI signal deviation alerts for precision continuation reads Great for automated systems, confirmation models, and high-probability intraday/swing entries. 🔵 CONCLUSION The Ultimate RSI Suite transforms RSI into a smart momentum-analysis system. With multi-timeframe logic, dynamic channels, advanced divergence/deviation systems, and powerful visual cues, it offers institutional-grade trend, exhaustion, and reversal detection. If you rely on RSI, this toolkit provides superior clarity, deeper context, and stronger execution timing — making it an elite upgrade for professional traders.
Pine Script® indicatorPaid script
by BigBeluga
61
NSR - Dynamic Linear Regression ChannelOverview The NSR - Dynamic Linear Regression Channel is a powerful overlay indicator that plots a dynamic regression-based channel around price action. Unlike static channels, this tool continuously recalculates the linear regression trendline from a user-defined starting point and builds upper and lower boundaries using a combination of standard deviation and maximum price deviations (highs/lows). It visually separates "Premium" (overvalued) and "Discount" (undervalued) zones relative to the regression trend — ideal for mean-reversion, breakout, or trend-following strategies. Key Features Dynamic Regression Line Calculates slope, intercept, and average using full lookback from a reset point. Adaptive Channel Width Combines standard deviation of residuals with max high/low deviations for robust boundaries. Auto-Reset on Breakout Channel resets when price closes beyond upper/lower band twice in direction of trend . Visual Zones Blue shaded = Premium (resistance zone) Red shaded = Discount (support zone) Real-Time Updates Live channel extends with each bar; historical channels preserved on reset. How It Works Regression Calculation Uses all bars since last reset to compute the best-fit line: y = intercept + slope × bar_position Deviation Bands Statistical : Standard deviation of price from regression line Structural : Maximum distance from highs to line (upper) and lows to line (lower) Final band = Regression Line ± (Deviation Input × StdDev) Channel Reset Logic Resets when: Price closes above upper band twice in an uptrend (slope > 0) OR closes below lower band twice in a downtrend (slope < 0) Prevents overextension and adapts to new trends. Visual Output Active channel updates in real-time Completed channels saved as historical reference (up to 500 lines/boxes) Input Parameters Deviation (2.0) - Multiplier for standard deviation to set channel width Premium Color - blue color for upper (resistance) zone Discount Color - red color for lower (support) zone Best Use Cases Mean Reversion - Buy near lower band in uptrend, sell near upper band Breakout Trading - Enter on confirmed close beyond band + volume Trend Confirmation - Use slope direction + price position in channel Stop Loss / Take Profit - Place stops beyond opposite band Pro Tips Use on higher timeframes (4H, Daily) for cleaner regression fits Combine with volume or momentum to filter false breakouts Lower Deviation (e.g., 1.5) for tighter, more responsive channels Watch channel resets — they often mark significant trend shifts Why Use DLRC? "Most channels are static. This one evolves with the market." The NSR-DLRC gives you a mathematically sound, visually intuitive way to see: Where price should be (regression) Where it has been (deviation extremes) When the trend is breaking structure Perfect for traders who want regression-based precision without rigid assumptions. Add to chart → Watch price dance within the evolving trend corridor.
Pine Script® indicator
by nsrgroup
MIG and MC 发布简介（中文） MIG and MC 指标帮助日内交易者快速识别微型缺口（Micro Gap）与微型通道（Micro Channel）。脚本支持过滤开盘跳空、合并连续缺口，并自动绘制 FPL（Fair Price Line）延伸线，既可追踪缺口是否被填补，也能直观标注潜在的趋势结构。为了确保跨周期一致性，最新版本对开盘前后和跨日场景做了专门处理 主要特性 - 自动检测并显示看涨/看跌微型缺口，支持按需合并连续缺口。 - 自定义是否忽略开盘缺口、缺口显示范围与 FPL 样式。 - FPL 触及后即停止延伸，辅助研判缺口是否真正回补。 - 内置强收盘与缺口过滤的微型通道识别，可选多种严格程度。 - 适用于 1/5/9 分钟等日内周期，也适用于更长周期。 Recommended English Description The MIG and MC indicator highlights Micro Gaps and Micro Channels so you can track true intraday imbalances without noise. It merges consecutive gaps, projects Fair Price Lines (FPL) that stop once touched, and offers a full intraday-ready opening-gap filter so your early bars stay clean. The latest update refines cross-session handling, giving reliable gap plots on 1-, 5-, and 9-minute charts as well as higher time frames. Key Features - Detects bullish and bearish micro gaps with optional gap merging. - Toggle opening-gap filters and configure look back, visibility, and FPL style. - FPL lines stop as soon as price revisits the gap, making gap closure obvious. - Micro Channel mode uses strong-close and gap filters to mark high-quality trend legs. - Consistent behavior across intraday and higher time frames.
Pine Script® indicator
by WendellZhang
Kalman Adaptive Score Overlay [BackQuant]Kalman Adaptive Score Overlay A powerful indicator that uses adaptive scoring to assess market conditions and trends, utilizing advanced filtering techniques to smooth price data, enhance trend-following precision, and predict future price movements based on past data. It is ideal for traders who need a dynamic and responsive trend analysis tool that adjusts to market fluctuations. What is Adaptive Scoring? Adaptive scoring is a technique that adjusts the weight or importance of certain price movements over time based on an ongoing assessment of market behavior. This indicator uses dynamic scoring to assess the strength and direction of price movements, providing insight into whether a trend is likely to continue or reverse. The score is recalculated continuously to reflect the most up-to-date market conditions, offering a responsive approach to trend-following. How It Works The core of this indicator is built on advanced filtering methods that smooth price data, adjusting the response to recent price changes. The filtering mechanism incorporates a Kalman filter to reduce noise and improve the accuracy of price signals. Combined with adaptive scoring, this creates a robust framework that automatically adjusts to both short-term fluctuations and long-term trends. The indicator also uses a dynamic trend-following component that updates its analysis based on the direction of the market, with the option to visualize it through colored candles. When a strong trend is identified, the candles are painted to reflect the prevailing trend, helping traders quickly identify whether the market is in a bullish or bearish state. Why Adaptive Scoring Is Important Dynamic Response: Adaptive scoring allows the indicator to respond to changing market conditions. By adjusting its sensitivity to price fluctuations, it ensures that trends are captured accurately, without being overly influenced by short-term noise. Trend Precision: By combining Kalman filtering with adaptive scoring, the indicator offers a precise and smooth trend-following mechanism. It helps traders stay aligned with the market direction and avoid false signals. Versatility: The indicator works across multiple timeframes, making it adaptable to different trading strategies, from scalping to long-term trend-following. Confidence in Market Moves: The adaptive scoring component provides traders with confidence in the strength of the trend, helping them determine when to enter or exit positions with greater certainty. How Traders Use It Trend-Following Strategy: Traders can use this indicator to confirm trends and refine their entries and exits. The colored candles and adaptive scoring offer a visual cue of trend strength and direction, making it easier to follow the prevailing market movement. Multi-Timeframe Analysis: The script supports multi-timeframe analysis, allowing traders to analyze trends and scores across different timeframes (e.g., 1m, 5m, 15m, 30m, 1h, 4h, 12h). This is useful for traders who want to confirm trends on both short and long-term charts before making a trade. Refining Entry Points: By utilizing the adaptive scoring, traders can identify potential entry points where the score indicates a high probability of trend continuation. Higher scores signal stronger trends, guiding decision-making. Managing Risk: Traders can use the adaptive scoring system to assess trend stability and adjust their risk management strategies accordingly. For example, higher confidence in the trend allows for larger positions, while lower confidence may require smaller, more cautious trades. Key Features and Benefits Kalman Filter for Noise Reduction: The Kalman filter helps to smooth out market noise and allows for a clearer understanding of the underlying price movements. This is particularly useful in volatile markets where short-term fluctuations can cloud trend analysis. Adaptive Scoring for Flexibility: Adaptive scoring ensures that the indicator remains responsive to changing market conditions. It automatically adjusts to the strength of price movements, enabling better detection of trends and reversals. Visual Trend Signals: The indicator provides visual signals through candle coloring, making it easier to identify whether the market is in a bullish, neutral, or bearish phase. Multi-Timeframe Display: The indicator’s multi-timeframe feature allows traders to see the trend and adaptive score on different timeframes simultaneously, providing a comprehensive view of the market. Customizable Settings: Traders can customize the indicator’s settings, such as the filter parameters, scoring thresholds, and visualization options, tailoring it to their specific trading style and strategy. Why This is Important for Traders Improved Decision Making: The adaptive nature of the scoring system allows traders to make more informed decisions based on real-time market data, without being influenced by past volatility. Market Clarity: By smoothing out price movements and scoring trends adaptively, the indicator provides a clearer picture of market behavior, which is essential for effective trend-following and timing entries and exits. Increased Confidence in Signals: Adaptive scoring ensures that signals are based on the current market structure, reducing the likelihood of false positives. This boosts traders' confidence when acting on signals. Conclusion The Kalman Adaptive Score Overlay offers a dynamic and responsive trend-following tool that integrates Kalman filtering with adaptive scoring. By adjusting to market fluctuations in real time, it allows traders to identify and follow trends with greater precision. Whether you are trading on short or long timeframes, this tool helps you stay aligned with market momentum, ensuring that your entries and exits are based on the most up-to-date and reliable data available.
Pine Script® indicator
by BackQuant
4
7D Historical Volatility (Regimes + Stats) - ChrrizzyHere’s what that indicator does—at a glance: ### Core idea It computes **7-day Historical Volatility (HV)** from **daily** log returns (annualized), then shows: * the **HV line** and its **30-day average**, * colored **volatility regimes** (Low / Normal / High / Extreme) with thresholds you set, * a compact **status panel** (top-right, nudged left) with current stats and time-in-zone. ### Calculations * **HV (7D)**: `stdev(log(close/close ), 7) * sqrt(365) * 100`, always from **daily data** via `request.security`, so it’s consistent on any chart timeframe. * **Regimes** (defaults): Low < 25% • Normal 25–50% • High 50–70% • Extreme > 70% (all editable). * **30-day avg**: SMA of HV. * **Time in zone (% over window)**: SMA of boolean flags (e.g., in Low=1 else 0) over `statsWin` days (default 300). * **Rolling median HV**: 50th percentile over `statsWin`. ### What you see on the chart * **HV line** (bold) + **30-day HV** (lighter). * **Horizontal dashed lines** at your regime thresholds. * **Background shading** that changes with the current regime (green/blue/orange/red). ### Panel (top-right) Shows: * BTC Price (daily close) * Current HV * 30-day Avg HV * Median HV (over window) * Current **Regime** * A two-line summary: **% of time spent** in Low / Normal / High / Extreme over the chosen window. The panel is shifted slightly left using a hidden spacer column; tweak the **“Panel right padding (chars)”** input to move it. ### Alerts (ready to use) * **HV crossed up Low** * **HV crossed down Low** * **HV crossed up High** * **HV crossed up Extreme** ### Inputs you can tune * `HV Lookback (days)` (default 7) * `Average HV (days)` (default 30) * Thresholds: Low/High/Extreme * `Stats Window (days)` (default 300) * Panel padding, toggle table/zones on/off. ### How to use it * **Context**: quickly see if BTC is in **compressed** (Low) or **stressed** (High/Extreme) volatility. * **Regime cross alerts**: get notified when volatility **expands** from Low (potential breakout conditions) or pushes into High/Extreme (risk increases). * **Stats/median**: compare today’s HV to its typical level over your lookback window. If you want, I can add an **HV percentile rank** (e.g., “Current HV is at the 38th percentile over 300d”) or mirror the **low-vol breakout signal** from Script A into this panel.
Pine Script® indicator
by chrrizzy
Machine Learning Moving Average [BackQuant]Machine Learning Moving Average A powerful tool combining clustering, pseudo-machine learning, and adaptive prediction, enabling traders to understand and react to price behavior across multiple market regimes (Bullish, Neutral, Bearish). This script uses a dynamic clustering approach based on percentile thresholds and calculates an adaptive moving average, ideal for forecasting price movements with enhanced confidence levels. What is Percentile Clustering? Percentile clustering is a method that sorts and categorizes data into distinct groups based on its statistical distribution. In this script, the clustering process relies on the percentile values of a composite feature (based on technical indicators like RSI, CCI, ATR, etc.). By identifying key thresholds (lower and upper percentiles), the script assigns each data point (price movement) to a cluster (Bullish, Neutral, or Bearish), based on its proximity to these thresholds. This approach mimics aspects of machine learning, where we “train” the model on past price behavior to predict future movements. The key difference is that this is not true machine learning; rather, it uses data-driven statistical techniques to "cluster" the market into patterns. Why Percentile Clustering is Useful Clustering price data into meaningful patterns (Bullish, Neutral, Bearish) helps traders visualize how price behavior can be grouped over time. By leveraging past price behavior and technical indicators, percentile clustering adapts dynamically to evolving market conditions. It helps you understand whether price behavior today aligns with past bullish or bearish trends, improving market context. Clusters can be used to predict upcoming market conditions by identifying regimes with high confidence, improving entry/exit timing. What This Script Does Clustering Based on Percentiles : The script uses historical price data and various technical features to compute a "composite feature" for each bar. This feature is then sorted and clustered based on predefined percentile thresholds (e.g., 10th percentile for lower, 90th percentile for upper). Cluster-Based Prediction : Once clustered, the script uses a weighted average, cluster momentum, or regime transition model to predict future price behavior over a specified number of bars. Dynamic Moving Average : The script calculates a machine-learning-inspired moving average (MLMA) based on the current cluster, adjusting its behavior according to the cluster regime (Bullish, Neutral, Bearish). Adaptive Confidence Levels : Confidence in the predicted return is calculated based on the distance between the current value and the other clusters. The further it is from the next closest cluster, the higher the confidence. Visual Cluster Mapping : The script visually highlights different clusters on the chart with distinct colors for Bullish, Neutral, and Bearish regimes, and plots the MLMA line. Prediction Output : It projects the predicted price based on the selected method and shows both predicted price and confidence percentage for each prediction horizon. Trend Identification : Using the clustering output, the script colors the bars based on the current cluster to reflect whether the market is trending Bullish (green), Bearish (red), or is Neutral (gray). How Traders Use It Predicting Price Movements : The script provides traders with an idea of where prices might go based on past market behavior. Traders can use this forecast for short-term and long-term predictions, guiding their trades. Clustering for Regime Analysis : Traders can identify whether the market is in a Bullish, Neutral, or Bearish regime, using that information to adjust trading strategies. Adaptive Moving Average for Trend Following : The adaptive moving average can be used as a trend-following indicator, helping traders stay in the market when it’s aligned with the current trend (Bullish or Bearish). Entry/Exit Strategy : By understanding the current cluster and its associated trend, traders can time entries and exits with higher precision, taking advantage of favorable conditions when the confidence in the predicted price is high. Confidence for Risk Management : The confidence level associated with the predicted returns allows traders to manage risk better. Higher confidence levels indicate stronger market conditions, which can lead to higher position sizes. Pseudo Machine Learning Aspect While the script does not use conventional machine learning models (e.g., neural networks or decision trees), it mimics certain aspects of machine learning in its approach. By using clustering and the dynamic adjustment of a moving average, the model learns from historical data to adjust predictions for future price behavior. The "learning" comes from how the script uses past price data (and technical indicators) to create patterns (clusters) and predict future market movements based on those patterns. Why This Is Important for Traders Understanding market regimes helps to adjust trading strategies in a way that adapts to current market conditions. Forecasting price behavior provides an additional edge, enabling traders to time entries and exits based on predicted price movements. By leveraging the clustering technique, traders can separate noise from signal, improving the reliability of trading signals. The combination of clustering and predictive modeling in one tool reduces the complexity for traders, allowing them to focus on actionable insights rather than manual analysis. How to Interpret the Output Bullish (Green) Zone : When the price behavior clusters into the Bullish zone, expect upward price movement. The MLMA line will help confirm if the trend remains upward. Bearish (Red) Zone : When the price behavior clusters into the Bearish zone, expect downward price movement. The MLMA line will assist in tracking any downward trends. Neutral (Gray) Zone : A neutral market condition signals indecision or range-bound behavior. The MLMA line can help track any potential breakouts or trend reversals. Predicted Price : The projected price is shown on the chart, based on the cluster's predicted behavior. This provides a useful reference for where the price might move in the near future. Prediction Confidence : The confidence percentage helps you gauge the reliability of the predicted price. A higher percentage indicates stronger market confidence in the forecasted move. Tips for Use Combining with Other Indicators : Use the output of this indicator in combination with your existing strategy (e.g., RSI, MACD, or moving averages) to enhance signal accuracy. Position Sizing with Confidence : Increase position size when the prediction confidence is high, and decrease size when it’s low, based on the confidence interval. Regime-Based Strategy : Consider developing a multi-strategy approach where you use this tool for Bullish or Bearish regimes and a separate strategy for Neutral markets. Optimization : Adjust the lookback period and percentile settings to optimize the clustering algorithm based on your asset’s characteristics. Conclusion The Machine Learning Moving Average offers a novel approach to price prediction by leveraging percentile clustering and a dynamically adapting moving average. While not a traditional machine learning model, this tool mimics the adaptive behavior of machine learning by adjusting to evolving market conditions, helping traders predict price movements and identify trends with improved confidence and accuracy.
Pine Script® indicator
by BackQuant
10
Twisted Analytics ATR Model ProThe Trend Spotter Indicator is a sophisticated technical analysis tool engineered to identify high-probability trend formations across all timeframes and asset classes. Built with proprietary algorithms, this indicator combines multiple technical methodologies to deliver clear, actionable signals for traders at all experience levels. What Makes It Unique Unlike basic moving average systems, the Trend Spotter employs a multi-layered approach that validates trends through: Multi-Timeframe Analysis: Confirms signals across higher timeframes to filter false positives Adaptive Volatility Filtering: Adjusts thresholds based on ATR to optimize for both ranging and trending markets Momentum Confirmation: Validates trend strength using proprietary oscillators before generating signals Dynamic Trend Strength Measurement: Real-time assessment of trend intensity and potential exhaustion Key Features ✅ Universal Compatibility: Works seamlessly on crypto, stocks, forex, commodities, and indices ✅ No Repainting: Signals remain fixed once generated - reliable for backtesting and live trading ✅ Customizable Alerts: Set up notifications for trend reversals, breakouts, and momentum shifts ✅ Visual Clarity: Color-coded signals with adjustable display settings ✅ Smart Noise Filtering: Advanced algorithms eliminate market noise and focus on genuine trends ✅ Support/Resistance Detection: Automatically identifies key levels based on trend structure How It Works The indicator analyzes price action through four independent validation layers: Trend Identification: Detects higher highs/lows (uptrend) or lower highs/lows (downtrend) Momentum Confirmation: Ensures signals align with prevailing momentum Volatility Analysis: Adapts to changing market conditions using ATR-based thresholds Signal Validation: Cross-references multiple factors before generating final signals This multi-factor approach significantly reduces false signals by requiring confirmation from multiple independent analysis methods. Best Use Cases Trend Following: Ride major trends from early entry to exhaustion Breakout Trading: Catch strong momentum moves out of consolidation Reversal Trading: Identify trend exhaustion and potential reversals Multi-Timeframe Strategies: Confirm lower timeframe entries with higher timeframe trends Who Should Use This Day traders seeking reliable trend signals on intraday charts Swing traders looking for multi-day trend opportunities Position traders wanting to identify major trend changes Both beginner and professional traders who value data-driven decision making Configuration Flexibility The indicator offers extensive customization options: Trend Period: Adjust sensitivity from 5 to 200 bars Signal Sensitivity: Choose Low/Medium/High based on trading style Trend Strength Threshold: Filter weak trends (0-100 scale) Multi-Timeframe Mode: Enable/disable higher timeframe confirmation Visual Settings: Customize colors, signal size, and labels Trading Strategy Examples Trend Following: Enter on initial signal, add on pullbacks, exit on reversal Breakout Strategy: Wait for consolidation, enter on trend signal breakout Reversal Strategy: Identify exhaustion, enter on first opposite signal Scalping: Use high sensitivity on 1-15 min charts for quick trades Risk Management Note While the Trend Spotter provides high-probability signals, no indicator guarantees profits. Always use proper risk management: Risk only 1-2% of capital per trade Set stop-losses based on technical levels Combine with volume analysis and support/resistance Backtest settings on historical data before live trading What You Get Professional-grade trend detection algorithm Real-time signal generation with no lag Comprehensive parameter customization Visual clarity with intuitive color coding Compatible with all TradingView account types Ongoing updates and improvements Technical Specifications Calculation Method: Proprietary multi-factor analysis Signal Type: Non-repainting trend direction and strength Overlay: Yes - displays directly on price chart Alerts: Fully customizable alert conditions Timeframes: All timeframes from 1-minute to monthly Asset Classes: Universal - works on all tradable instruments Support Published by Twisted Analytics - Professional trading tools built by traders, for traders.
Pine Script® indicator
by JPCipher
RSI Overbought/Oversold + Divergence Indicator (new)//@version=5 indicator('CryptoSignalScanner - RSI Overbought/Oversold + Divergence Indicator (new)', //--------------------------------------------------------------------------------------------------------------------------------- //--- Define Colors --------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------- vWhite = #FFFFFF vViolet = #C77DF3 vIndigo = #8A2BE2 vBlue = #009CDF vGreen = #5EBD3E vYellow = #FFB900 vRed = #E23838 longColor = color.green shortColor = color.red textColor = color.white bullishColor = color.rgb(38,166,154,0) //Used in the display table bearishColor = color.rgb(239,83,79,0) //Used in the display table nomatchColor = color.silver //Used in the display table //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Functions-------------------------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- TF2txt(TF) => switch TF "S" => "RSI 1s:" "5S" => "RSI 5s:" "10S" => "RSI 10s:" "15S" => "RSI 15s:" "30S" => "RSI 30s" "1" => "RSI 1m:" "3" => "RSI 3m:" "5" => "RSI 5m:" "15" => "RSI 15m:" "30" => "RSI 30m" "45" => "RSI 45m" "60" => "RSI 1h:" "120" => "RSI 2h:" "180" => "RSI 3h:" "240" => "RSI 4h:" "480" => "RSI 8h:" "D" => "RSI 1D:" "1D" => "RSI 1D:" "2D" => "RSI 2D:" "3D" => "RSI 2D:" "3D" => "RSI 3W:" "W" => "RSI 1W:" "1W" => "RSI 1W:" "M" => "RSI 1M:" "1M" => "RSI 1M:" "3M" => "RSI 3M:" "6M" => "RSI 6M:" "12M" => "RSI 12M:" //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Show/Hide Settings ---------------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- rsiShowInput = input(true, title='Show RSI', group='Show/Hide Settings') maShowInput = input(false, title='Show MA', group='Show/Hide Settings') showRSIMAInput = input(true, title='Show RSIMA Cloud', group='Show/Hide Settings') rsiBandShowInput = input(true, title='Show Oversold/Overbought Lines', group='Show/Hide Settings') rsiBandExtShowInput = input(true, title='Show Oversold/Overbought Extended Lines', group='Show/Hide Settings') rsiHighlightShowInput = input(true, title='Show Oversold/Overbought Highlight Lines', group='Show/Hide Settings') DivergenceShowInput = input(true, title='Show RSI Divergence Labels', group='Show/Hide Settings') //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Table Settings -------------------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- rsiShowTable = input(true, title='Show RSI Table Information box', group="RSI Table Settings") rsiTablePosition = input.string(title='Location', defval='middle_right', options= , group="RSI Table Settings", inline='1') rsiTextSize = input.string(title=' Size', defval='small', options= , group="RSI Table Settings", inline='1') rsiShowTF1 = input(true, title='Show TimeFrame1', group="RSI Table Settings", inline='tf1') rsiTF1 = input.timeframe("15", title=" Time", group="RSI Table Settings", inline='tf1') rsiShowTF2 = input(true, title='Show TimeFrame2', group="RSI Table Settings", inline='tf2') rsiTF2 = input.timeframe("60", title=" Time", group="RSI Table Settings", inline='tf2') rsiShowTF3 = input(true, title='Show TimeFrame3', group="RSI Table Settings", inline='tf3') rsiTF3 = input.timeframe("240", title=" Time", group="RSI Table Settings", inline='tf3') rsiShowTF4 = input(true, title='Show TimeFrame4', group="RSI Table Settings", inline='tf4') rsiTF4 = input.timeframe("D", title=" Time", group="RSI Table Settings", inline='tf4') rsiShowHist = input(true, title='Show RSI Historical Columns', group="RSI Table Settings", tooltip='Show the information of the 2 previous closed candles') //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- RSI Input Settings ---------------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- rsiSourceInput = input.source(close, 'Source', group='RSI Settings') rsiLengthInput = input.int(14, minval=1, title='RSI Length', group='RSI Settings', tooltip='Here we set the RSI lenght') rsiColorInput = input.color(#26a69a, title="RSI Color", group='RSI Settings') rsimaColorInput = input.color(#ef534f, title="RSIMA Color", group='RSI Settings') rsiBandColorInput = input.color(#787B86, title="RSI Band Color", group='RSI Settings') rsiUpperBandExtInput = input.int(title='RSI Overbought Extended Line', defval=80, minval=50, maxval=100, group='RSI Settings') rsiUpperBandInput = input.int(title='RSI Overbought Line', defval=70, minval=50, maxval=100, group='RSI Settings') rsiLowerBandInput = input.int(title='RSI Oversold Line', defval=30, minval=0, maxval=50, group='RSI Settings') rsiLowerBandExtInput = input.int(title='RSI Oversold Extended Line', defval=20, minval=0, maxval=50, group='RSI Settings') //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- MA Input Settings ----------------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- maTypeInput = input.string("EMA", title="MA Type", options= , group="MA Settings") maLengthInput = input.int(14, title="MA Length", group="MA Settings") maColorInput = input.color(color.yellow, title="MA Color", group='MA Settings') //#7E57C2 //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Divergence Input Settings --------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- lbrInput = input(title="Pivot Lookback Right", defval=2, group='RSI Divergence Settings') lblInput = input(title="Pivot Lookback Left", defval=2, group='RSI Divergence Settings') lbRangeMaxInput = input(title="Max of Lookback Range", defval=10, group='RSI Divergence Settings') lbRangeMinInput = input(title="Min of Lookback Range", defval=2, group='RSI Divergence Settings') plotBullInput = input(title="Plot Bullish", defval=true, group='RSI Divergence Settings') plotHiddenBullInput = input(title="Plot Hidden Bullish", defval=true, group='RSI Divergence Settings') plotBearInput = input(title="Plot Bearish", defval=true, group='RSI Divergence Settings') plotHiddenBearInput = input(title="Plot Hidden Bearish", defval=true, group='RSI Divergence Settings') //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- RSI Calculation ------------------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- rsi = ta.rsi(rsiSourceInput, rsiLengthInput) rsiprevious = rsi = request.security(syminfo.tickerid, rsiTF1, [rsi, rsi , rsi ], lookahead=barmerge.lookahead_on) = request.security(syminfo.tickerid, rsiTF2, [rsi, rsi , rsi ], lookahead=barmerge.lookahead_on) = request.security(syminfo.tickerid, rsiTF3, [rsi, rsi , rsi ], lookahead=barmerge.lookahead_on) = request.security(syminfo.tickerid, rsiTF4, [rsi, rsi , rsi ], lookahead=barmerge.lookahead_on) //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- MA Calculation ------------------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- ma(source, length, type) => switch type "SMA" => ta.sma(source, length) "Bollinger Bands" => ta.sma(source, length) "EMA" => ta.ema(source, length) "SMMA (RMA)" => ta.rma(source, length) "WMA" => ta.wma(source, length) "VWMA" => ta.vwma(source, length) rsiMA = ma(rsi, maLengthInput, maTypeInput) rsiMAPrevious = rsiMA //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Stoch RSI Settings + Calculation -------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- showStochRSI = input(false, title="Show Stochastic RSI", group='Stochastic RSI Settings') smoothK = input.int(title="Stochastic K", defval=3, minval=1, maxval=10, group='Stochastic RSI Settings') smoothD = input.int(title="Stochastic D", defval=4, minval=1, maxval=10, group='Stochastic RSI Settings') lengthRSI = input.int(title="Stochastic RSI Lenght", defval=14, minval=1, group='Stochastic RSI Settings') lengthStoch = input.int(title="Stochastic Lenght", defval=14, minval=1, group='Stochastic RSI Settings') colorK = input.color(color.rgb(41,98,255,0), title="K Color", group='Stochastic RSI Settings', inline="1") colorD = input.color(color.rgb(205,109,0,0), title="D Color", group='Stochastic RSI Settings', inline="1") StochRSI = ta.rsi(rsiSourceInput, lengthRSI) k = ta.sma(ta.stoch(StochRSI, StochRSI, StochRSI, lengthStoch), smoothK) //Blue Line d = ta.sma(k, smoothD) //Red Line //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Divergence Settings ------------------------------------------------------------------------------------------------------------------------------------------ //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- bearColor = color.red bullColor = color.green hiddenBullColor = color.new(color.green, 50) hiddenBearColor = color.new(color.red, 50) //textColor = color.white noneColor = color.new(color.white, 100) osc = rsi plFound = na(ta.pivotlow(osc, lblInput, lbrInput)) ? false : true phFound = na(ta.pivothigh(osc, lblInput, lbrInput)) ? false : true _inRange(cond) => bars = ta.barssince(cond == true) lbRangeMinInput <= bars and bars <= lbRangeMaxInput //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Define Plot & Line Colors --------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- rsiColor = rsi >= rsiMA ? rsiColorInput : rsimaColorInput //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Plot Lines ------------------------------------------------------------------------------------------------------------------------------------------------------ //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- // Create a horizontal line at a specific price level myLine = line.new(bar_index , 75, bar_index, 75, color = color.rgb(187, 14, 14), width = 2) bottom = line.new(bar_index , 50, bar_index, 50, color = color.rgb(223, 226, 28), width = 2) mymainLine = line.new(bar_index , 60, bar_index, 60, color = color.rgb(13, 154, 10), width = 3) hline(50, title='RSI Baseline', color=color.new(rsiBandColorInput, 50), linestyle=hline.style_solid, editable=false) hline(rsiBandExtShowInput ? rsiUpperBandExtInput : na, title='RSI Upper Band', color=color.new(rsiBandColorInput, 10), linestyle=hline.style_dashed, editable=false) hline(rsiBandShowInput ? rsiUpperBandInput : na, title='RSI Upper Band', color=color.new(rsiBandColorInput, 10), linestyle=hline.style_dashed, editable=false) hline(rsiBandShowInput ? rsiLowerBandInput : na, title='RSI Upper Band', color=color.new(rsiBandColorInput, 10), linestyle=hline.style_dashed, editable=false) hline(rsiBandExtShowInput ? rsiLowerBandExtInput : na, title='RSI Upper Band', color=color.new(rsiBandColorInput, 10), linestyle=hline.style_dashed, editable=false) bgcolor(rsiHighlightShowInput ? rsi >= rsiUpperBandExtInput ? color.new(rsiColorInput, 70) : na : na, title="Show Extended Oversold Highlight", editable=false) bgcolor(rsiHighlightShowInput ? rsi >= rsiUpperBandInput ? rsi < rsiUpperBandExtInput ? color.new(#64ffda, 90) : na : na: na, title="Show Overbought Highlight", editable=false) bgcolor(rsiHighlightShowInput ? rsi <= rsiLowerBandInput ? rsi > rsiLowerBandExtInput ? color.new(#F43E32, 90) : na : na : na, title="Show Extended Oversold Highlight", editable=false) bgcolor(rsiHighlightShowInput ? rsi <= rsiLowerBandInput ? color.new(rsimaColorInput, 70) : na : na, title="Show Oversold Highlight", editable=false) maPlot = plot(maShowInput ? rsiMA : na, title='MA', color=color.new(maColorInput,0), linewidth=1) rsiMAPlot = plot(showRSIMAInput ? rsiMA : na, title="RSI EMA", color=color.new(rsimaColorInput,0), editable=false, display=display.none) rsiPlot = plot(rsiShowInput ? rsi : na, title='RSI', color=color.new(rsiColor,0), linewidth=1) fill(rsiPlot, rsiMAPlot, color=color.new(rsiColor, 60), title="RSIMA Cloud") plot(showStochRSI ? k : na, title='Stochastic K', color=colorK, linewidth=1) plot(showStochRSI ? d : na, title='Stochastic D', color=colorD, linewidth=1) //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Plot Divergence ------------------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- // Regular Bullish // Osc: Higher Low oscHL = osc > ta.valuewhen(plFound, osc , 1) and _inRange(plFound ) // Price: Lower Low priceLL = low < ta.valuewhen(plFound, low , 1) bullCond = plotBullInput and priceLL and oscHL and plFound plot( plFound ? osc : na, offset=-lbrInput, title="Regular Bullish", linewidth=2, color=(bullCond ? bullColor : noneColor) ) plotshape( DivergenceShowInput ? bullCond ? osc : na : na, offset=-lbrInput, title="Regular Bullish Label", text=" Bull ", style=shape.labelup, location=location.absolute, color=bullColor, textcolor=textColor ) //------------------------------------------------------------------------------ // Hidden Bullish // Osc: Lower Low oscLL = osc < ta.valuewhen(plFound, osc , 1) and _inRange(plFound ) // Price: Higher Low priceHL = low > ta.valuewhen(plFound, low , 1) hiddenBullCond = plotHiddenBullInput and priceHL and oscLL and plFound plot( plFound ? osc : na, offset=-lbrInput, title="Hidden Bullish", linewidth=2, color=(hiddenBullCond ? hiddenBullColor : noneColor) ) plotshape( DivergenceShowInput ? hiddenBullCond ? osc : na : na, offset=-lbrInput, title="Hidden Bullish Label", text=" H Bull ", style=shape.labelup, location=location.absolute, color=bullColor, textcolor=textColor ) //------------------------------------------------------------------------------ // Regular Bearish // Osc: Lower High oscLH = osc < ta.valuewhen(phFound, osc , 1) and _inRange(phFound ) // Price: Higher High priceHH = high > ta.valuewhen(phFound, high , 1) bearCond = plotBearInput and priceHH and oscLH and phFound plot( phFound ? osc : na, offset=-lbrInput, title="Regular Bearish", linewidth=2, color=(bearCond ? bearColor : noneColor) ) plotshape( DivergenceShowInput ? bearCond ? osc : na : na, offset=-lbrInput, title="Regular Bearish Label", text=" Bear ", style=shape.labeldown, location=location.absolute, color=bearColor, textcolor=textColor ) //------------------------------------------------------------------------------ // Hidden Bearish // Osc: Higher High oscHH = osc > ta.valuewhen(phFound, osc , 1) and _inRange(phFound ) // Price: Lower High priceLH = high < ta.valuewhen(phFound, high , 1) hiddenBearCond = plotHiddenBearInput and priceLH and oscHH and phFound plot( phFound ? osc : na, offset=-lbrInput, title="Hidden Bearish", linewidth=2, color=(hiddenBearCond ? hiddenBearColor : noneColor) ) plotshape( DivergenceShowInput ? hiddenBearCond ? osc : na : na, offset=-lbrInput, title="Hidden Bearish Label", text=" H Bear ", style=shape.labeldown, location=location.absolute, color=bearColor, textcolor=textColor ) //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Check RSI Lineup ------------------------------------------------------------------------------------------------------------------------------------------------ //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- bullTF = rsi > rsi and rsi > rsi bearTF = rsi < rsi and rsi < rsi bullTF1 = rsi1 > rsi1_1 and rsi1_1 > rsi1_2 bearTF1 = rsi1 < rsi1_1 and rsi1_1 < rsi1_2 bullTF2 = rsi2 > rsi2_1 and rsi2_1 > rsi2_2 bearTF2 = rsi2 < rsi2_1 and rsi2_1 < rsi2_2 bullTF3 = rsi3 > rsi3_1 and rsi3_1 > rsi3_2 bearTF3 = rsi3 < rsi3_1 and rsi3_1 < rsi3_2 bullTF4 = rsi4 > rsi4_1 and rsi4_1 > rsi4_2 bearTF4 = rsi4 < rsi4_1 and rsi4_1 < rsi4_2 bbTxt(bull,bear) => bull ? "BULLISH" : bear ? "BEARISCH" : 'NO LINEUP' bbColor(bull,bear) => bull ? bullishColor : bear ? bearishColor : nomatchColor newTC(tBox, col, row, txt, width, txtColor, bgColor, txtHA, txtSize) => table.cell(table_id=tBox,column=col, row=row, text=txt, width=width,text_color=txtColor,bgcolor=bgColor, text_halign=txtHA, text_size=txtSize) //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Define RSI Table Setting ---------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- width_c0 = 0 width_c1 = 0 if rsiShowTable var tBox = table.new(position=rsiTablePosition, columns=5, rows=6, bgcolor=color.rgb(18,22,33,50), frame_color=color.black, frame_width=1, border_color=color.black, border_width=1) newTC(tBox, 0,1,"RSI Current",width_c0,color.orange,color.rgb(0,0,0,100),'right',rsiTextSize) newTC(tBox, 1,1,str.format(" {0,number,#.##} ", rsi),width_c0,vWhite,rsi < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 4,1,bbTxt(bullTF, bearTF),width_c0,vWhite,bbColor(bullTF, bearTF),'center',rsiTextSize) if rsiShowHist newTC(tBox, 2,1,str.format(" {0,number,#.##} ", rsi ),width_c0,vWhite,rsi < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 3,1,str.format(" {0,number,#.##} ", rsi ),width_c0,vWhite,rsi < 50 ? bearishColor:bullishColor,'left',rsiTextSize) if rsiShowTF1 newTC(tBox, 0,2,TF2txt(rsiTF1),width_c0,vWhite,color.rgb(0,0,0,100),'right',rsiTextSize) newTC(tBox, 1,2,str.format(" {0,number,#.##} ", rsi1),width_c0,vWhite,rsi1 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 4,2,bbTxt(bullTF1, bearTF1),width_c0,vWhite,bbColor(bullTF1,bearTF1),'center',rsiTextSize) if rsiShowHist newTC(tBox, 2,2,str.format(" {0,number,#.##} ", rsi1_1),width_c0,vWhite,rsi1_1 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 3,2,str.format(" {0,number,#.##} ", rsi1_2),width_c0,vWhite,rsi1_2 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) if rsiShowTF2 newTC(tBox, 0,3,TF2txt(rsiTF2),width_c0,vWhite,color.rgb(0,0,0,100),'right',rsiTextSize) newTC(tBox, 1,3,str.format(" {0,number,#.##} ", rsi2),width_c0,vWhite,rsi2 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 4,3,bbTxt(bullTF2, bearTF2),width_c0,vWhite,bbColor(bullTF2,bearTF2),'center',rsiTextSize) if rsiShowHist newTC(tBox, 2,3,str.format(" {0,number,#.##} ", rsi2_1),width_c0,vWhite,rsi2_1 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 3,3,str.format(" {0,number,#.##} ", rsi2_2),width_c0,vWhite,rsi2_2 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) if rsiShowTF3 newTC(tBox, 0,4,TF2txt(rsiTF3),width_c0,vWhite,color.rgb(0,0,0,100),'right',rsiTextSize) newTC(tBox, 1,4,str.format(" {0,number,#.##} ", rsi3),width_c0,vWhite,rsi3 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 4,4,bbTxt(bullTF3, bearTF3),width_c0,vWhite,bbColor(bullTF3,bearTF3),'center',rsiTextSize) if rsiShowHist newTC(tBox, 2,4,str.format(" {0,number,#.##} ", rsi3_1),width_c0,vWhite,rsi3_1 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 3,4,str.format(" {0,number,#.##} ", rsi3_2),width_c0,vWhite,rsi3_2 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) if rsiShowTF4 newTC(tBox, 0,5,TF2txt(rsiTF4),width_c0,vWhite,color.rgb(0,0,0,100),'right',rsiTextSize) newTC(tBox, 1,5,str.format(" {0,number,#.##} ", rsi4),width_c0,vWhite,rsi4 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 4,5,bbTxt(bullTF4, bearTF4),width_c0,vWhite,bbColor(bullTF4,bearTF4),'center',rsiTextSize) if rsiShowHist newTC(tBox, 2,5,str.format(" {0,number,#.##} ", rsi4_1),width_c0,vWhite,rsi4_1 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 3,5,str.format(" {0,number,#.##} ", rsi4_2),width_c0,vWhite,rsi4_2 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) //------------------------------------------------------ //--- Alerts ------------------------------------------- //------------------------------------------------------
Pine Script® indicator
by RandyDahlin
Fair Value Levels H4 — Institutional Balance ZonesDescription: This indicator automatically plots the Fair Value (50%) of every 4-hour candle, highlighting the institutional balance zones in price. Each level represents the midpoint between the high and low of the H4 block — a common area where price seeks equilibrium before continuing its trend. 📌 Main Features: • Displays all historical H4 Fair Values automatically. • Option to extend lines infinitely or only until the next H4 block. • Real-time Fair Value line for the current H4 candle. • Fully customizable colors, widths, and number of displayed levels. • Works on any market (indices, forex, gold, crypto, stocks). ⚙️ Use Cases: • Identify institutional balance points within market structure. • Validate premium/discount areas in Smart Money Concepts (SMC). • Confluence tool for price action and structure-based strategies. 💡 Recommended for: traders focusing on institutional concepts, market structure, or equilibrium zones.
Pine Script® indicator
by hesc_5656k
5mn London-Newyork best entry by Profitcosmos)This indicator is engineered for scalpers and day traders who trade during the London and New York sessions — the most volatile and liquid market hours. It automatically detects high-probability breakout structures, filters false moves using ATR-based volatility logic, and dynamically projects Entry, Stop Loss (SL), and Take Profit (TP) levels directly on the chart. ⚙️ Core Features 🧠 Smart Market Structure Detection: Automatically identifies bullish and bearish structure shifts using swing highs/lows. 📊 ATR Volatility Filter: Uses an adaptive ATR multiplier to confirm genuine breakouts and filter noise. 🕒 Session Filter (Optional): Restrict signals to your chosen trading hours — ideal for London and New York overlap. 🎯 Auto Entry / SL / TP Projection: SL: Placed below (for BUY) or above (for SELL) the two previous candle extremes. TP: Automatically calculated at 3× the distance from Entry to SL. Projection: Visual lines and labels extend 100 bars into the future, clearly marking your trade levels. 🔁 Alternating Signal Logic: Prevents consecutive duplicate signals to keep the chart clean and trades logical. 📈 Visual Clarity: Each trade setup is plotted with colored lines (Entry, SL, TP) and labels pointing left for easy visibility. 🔔 Alerts Ready: Built-in alerts for both BUY and SELL signals to automate or notify your entries. 🪙 Why you will Love It This tool helps identify the cleanest momentum-based entries in the 5-minute chart during high-volume hours. It’s especially effective for XAUUSD, NAS100, and major Forex pairs, where breakout structure shifts happen fast and decisively. 🧭 Recommended Settings Timeframe: 5 minutes Sessions: London (3–10 AM EST) & New York (8 AM–4 PM EST) ATR Multiplier: 1.2–1.5 (adjust for volatility)
Pine Script® indicator
by BellevueFX
Intraday Perpetual Premium & Z-ScoreThis indicator measures the real-time premium of a perpetual futures contract relative to its spot market and interprets it through a statistical lens. It helps traders detect when funding pressure is building, when leverage is being unwound, and when crowding in the futures market may precede volatility. How it works • Premium (%) = (Perp – Spot) ÷ Spot × 100 The script fetches both spot and perpetual prices and calculates their percentage difference each minute. • Rolling Mean & Z-Score Over a 4-hour look-back, it computes the average premium and standard deviation to derive a Z-Score, showing how stretched current sentiment is. • Dynamic ±2σ Bands highlight statistically extreme premiums or discounts. • Rate of Change (ROC) over one hour gauges the short-term directional acceleration of funding flows. Colour & Label Interpretation Visual cue Meaning Trading Implication 🟢 Green bars + “BULL Pressure” Premium rising faster than mean Leverage inflows → momentum strengthening 🔴 Red bars + “BEAR Pressure” Premium shrinking Leverage unwind → pull-back or consolidation ⚠️ Orange “EXTREME Premium/Discount” Crowded trade → heightened reversal risk ⚪ Grey bars Neutral Balanced conditions Alerts • Bull Pressure Alert → funding & premium rising (momentum building) • Bear Pressure Alert → premium falling (deleveraging) • Extreme Premium Alert → crowded longs; potential top • Extreme Discount Alert → capitulation; possible bottom Use case Combine this indicator with your Heikin-Ashi, RSI, and MACD confluence rules: • Enter only when your oscillators are low → curling up and Bull Pressure triggers. • Trim or exit when Bear Pressure or Extreme Premium appears. • Watch for Extreme Discount during flushes as an early bottoming clue.
Pine Script® indicator
by TokenTrendTracker
Momentum Pro [FluxQuant]Momentum Pro — Adaptive Momentum & Regime Filter Overview Momentum Pro is a next-generation oscillator that combines rate-of-change (ROC), relative-strength (RSI), and stochastic-momentum frameworks into a unified adaptive model. It dynamically filters momentum through volatility, directional-movement, and trend-strength conditions to highlight only qualified signals in changing market regimes. 🔹 Key Features Selectable Core Algorithm: Choose between ROC, RSI, or Stochastic momentum engines Adaptive Signal System: Cross-based entries gated by volatility and trend filters Quality Filters: Volatility, momentum intensity, and directional bias validation Overbought / Oversold Zones: Automatic detection with background visualization Multi-Timeframe Sync: Confirm intraday signals with higher-timeframe momentum Divergence Scanner: Pivot-based detection of regular bullish / bearish divergences Smart Dashboard: Real-time summary of market state, momentum strength, and filter status Dynamic Visual Themes: Gradient, Premium, and Glassmorphism histogram modes 🧠 How It Works Momentum Pro calculates normalized momentum using your selected algorithm and applies layered filters to ensure that only statistically significant moves are emphasized. The volatility filter measures current vs. average ATR to confirm expansion. The trend filter assesses DI +/ DI – differentials for directional bias. The momentum gate suppresses signals during consolidation or low-range conditions. Optional higher-timeframe data aligns local momentum with broader bias for cleaner entries. When these filters agree, momentum crossovers or divergences are visually highlighted as potential study points — not trade instructions. 📈 Interpreting the Dashboard Field Meaning Market State Identifies current regime (Bullish, Bearish, Overbought, Oversold, Ranging) Momentum Current oscillator value (0–100 normalized scale) Change Recent acceleration / deceleration in momentum Filter Whether volatility and trend criteria are satisfied Signal Active cross or directional alignment Trend / Vol / Intensity Strength metrics (Elite mode) HTF Sync Confirms alignment with higher-timeframe momentum bias Use the dashboard as a contextual overlay — not as a mechanical signal generator. 🧩 Configuration Guide Algorithm: Select ROC for reactive speed, RSI for balanced smoothness, or Stochastic for cyclical range focus. Signal Line: Enable to visualize crossovers. “Glow” style enhances contrast for clarity. Filters: Keep “Enable Filter” active to limit noise. Adjust Volatility & Trend thresholds for sensitivity. Zones: Use background fills to mark overbought / oversold regions and regime shifts. Divergence: Turn on for automatic pivot-based divergence marking. Multi-Timeframe: Enable HTF confirmation to study alignment with larger trend context. Dashboard: Choose Minimal → Elite modes depending on information density preference. 🧭 Best Practices Works on all markets — equities, futures, crypto, FX Ideal for 15 m – 4 h – Daily timeframes Pairs well with structure or liquidity analysis for confirmation Use filters to isolate expansion phases; avoid trading during neutral states ⚠️ Disclaimer Momentum Pro is an educational and analytical tool intended for research and visualization only. It does not provide financial advice, trade signals, or guaranteed outcomes. Always conduct independent analysis and risk assessment before making trading decisions. 🛠 Release Notes v 1.0 — Initial Public Release Multi-algorithm momentum core (ROC / RSI / Stochastic) Volatility + trend quality filter system Multi-timeframe synchronization and ribbon overlay Divergence scanner and contextual dashboard Dynamic visualization modes
Pine Script® indicator
by FluxQuant
Simulated Fear & Greed (CNN-calibrated v2)🧭 Fear & Greed Index — TradingView Version (Simulated CNN Model) 🔍 Purpose The Fear & Greed Index is a sentiment indicator that quantifies market emotion on a scale from 0 to 100, where: 0 represents Extreme Fear (capitulation, oversold conditions), and 100 represents Extreme Greed (euphoria, overbought conditions). It helps traders assess whether the market is driven by fear (risk aversion) or greed (risk appetite) — giving a high-level view of potential turning points in market sentiment. ⚙️ How It Works in TradingView Because TradingView cannot directly access CNN’s or alternative external sentiment feeds, this indicator simulates the Fear & Greed Index by analyzing in-chart technical data that reflect investor psychology. It uses a multi-factor model, converting price and volume signals into a composite sentiment score. 🧩 Components Used (Simulated Metrics) Category Metric Emotional Interpretation Volatility ATR (Average True Range) High ATR = Fear, Low ATR = Greed Momentum RSI + MACD Histogram Rising momentum = Greed, Falling = Fear Volume Activity Volume Z-Score High positive deviation = Greed, Low = Fear Trend Context SMA Regime Bias (50/200) Downtrend adds Fear penalty, Uptrend supports Greed These elements are normalized into a 0–100 scale using percentile ranks (like statistical scoring) and then combined using user-adjustable weights. ⚖️ CNN-Style Calibration The script follows CNN’s five sentiment bands for clarity: Range Zone Colour Description 0–25 Extreme Fear 🔴 Red Panic, forced selling, capitulation risk 25–45 Fear 🟠 Orange Uncertainty, hesitation, early accumulation phase 45–55 Neutral ⚪ Gray Balanced sentiment, indecision 55–75 Greed 🟢 Light Green Optimism, trend continuation 75–100 Extreme Greed 💚 Bright Green Euphoria, risk of reversal This structure aligns visually with CNN’s public gauge, making it easy to interpret.
Pine Script® indicator
by thriftyLion65492
HTF Ranges - AWR/AMR/AYR [bilal]📊 Overview Professional higher timeframe range indicator for swing and position traders. Calculate Average Weekly Range (AWR), Average Monthly Range (AMR), and Average Yearly Range (AYR) with precision projection levels. ✨ Key Features 📅 Three Timeframe Modes AWR (Average Weekly Range): Weekly swing targets - Default 4 weeks AMR (Average Monthly Range): Monthly position targets - Default 6 months AYR (Average Yearly Range): Yearly extremes - Default 9 years 🎯 Dual Anchor Options Period Open: Week/Month/Year opening price RTH Open: First RTH session (09:30 NY) of the period 📐 Projection Levels 100% Range Levels: Upper and lower targets from anchor Fractional Levels: 33% and 66% zones for partial targets Custom Mirrored Levels: Set any percentage (0-200%) with automatic mirroring Example: 25% shows both 25% and 75% Example: 150% shows both 150% and -50% 📊 Information Table Active range type (AWR/AMR/AYR) Average range value for selected period Current period range and percentage used Distance remaining to targets (up/down) Color-coded progress (green/orange/red) 🎨 Fully Customizable Orange theme by default (differentiates from daily indicators) Line colors, styles (solid/dashed/dotted), and widths Toggle labels on/off Adjustable lookback periods for each timeframe Independent settings for each range type ⚡ Smart Features Lines start at actual period open (not fixed lookback) Automatically tracks current period high/low Works on any chart timeframe Real-time range tracking Alert conditions when targets reached or exceeded 🎯 Use Cases AWR (Weekly Ranges): Swing trade targets (3-7 day holds) Weekly support/resistance zones Identify weekly trend vs rotation Compare daily moves to weekly context AMR (Monthly Ranges): Position trade targets (2-4 week holds) Monthly breakout levels Institutional-level zones Earnings play targets AYR (Yearly Ranges): Major reversal zones Long-term support/resistance Identify macro trend strength Annual high/low projections 💡 Trading Strategies AWR Strategy (Swing Trading): Week opens near AWR lower level = potential long setup Target AWR 66% and 100% levels Week hits AWR upper in first 2 days = watch for reversal Use fractional levels as scale-in/scale-out points AMR Strategy (Position Trading): Month opens near AMR extremes = fade setup Month breaks AMR in week 1 = expansion (trend) month Target opposite AMR extreme for swing positions Use 33%/66% for partial profit taking AYR Strategy (Long-term Context): Price near AYR extremes = major reversal zones Breaking AYR levels = historic moves (rare) Use for macro trend confirmation Great for yearly forecasting and planning 📊 Range Interpretation <33% Range Used: Early in period, room for expansion 33-66% Range Used: Normal progression 66-100% Range Used: Extended, approaching extremes >100% Range Used: Expansion period - trending or high volatility ⚙️ Settings Guide Lookback Periods: AWR: 4 weeks (standard) - adjust to 8-12 for smoother average AMR: 6 months (standard) - seasonal patterns AYR: 9 years (standard) - captures full cycles Anchor Type: Period Open: Use for clean week/month/year open reference RTH Open: Use if you only trade day session, ignores overnight gaps Custom Levels: 25% = quartile targets 75% = three-quarter targets 80% = "danger zone" for reversals 111% = extended breakout target 🔄 Combine with ADR Indicator Run both indicators together for complete multi-timeframe analysis: ADR for intraday precision AWR/AMR/AYR for swing/position context See if today's ADR move is significant in weekly/monthly context Multi-timeframe confluence = highest probability setups 💼 Ideal For Swing Traders: Use AWR for 3-10 day holds Position Traders: Use AMR for 2-8 week holds Long-term Investors: Use AYR for macro context Index Futures Traders: ES, NQ, YM, RTY Multi-timeframe Analysis: Combine with daily ADR
Pine Script® indicator
by bilalmil
Advanced ICT ADR Projections [bilal]📊 Overview Professional ADR indicator designed specifically for index futures traders. Calculate and visualize Average Daily Range with multiple session options, fractional levels, and higher timeframe context. ✨ Key Features 🎯 Multiple Session Types Full Day: Standard calendar day calculation Midnight: Anchored to 00:00 NY time open RTH (Regular Trading Hours): 09:30-16:00 NY session Custom: Define your own session hours and anchor point 📐 Projection Levels 100% ADR Levels: Upper and lower range targets from anchor Fractional Levels: 33% and 66% zones for partial targets Custom Mirrored Levels: Set any percentage (0-200%) with automatic mirroring Example: 25% shows both 25% and 75% Example: 111% shows both 111% and -11% 📅 Higher Timeframe Context (Optional) AWR: Average Weekly Range overlay AMR: Average Monthly Range overlay AYR: Average Yearly Range overlay All HTF ranges use same anchor as daily session 📊 Information Table Current session type and anchor time ADR value for selected period Current range and percentage used Distance remaining to ADR targets (up/down) Color-coded range percentage (green/orange/red) 🎨 Fully Customizable Line colors, styles (solid/dashed/dotted), and widths Toggle labels on/off Adjustable ADR lookback period (1-100 days) All HTF periods customizable ⚡ Smart Features Lines start at actual session open (not fixed lookback) Works on any timeframe Real-time range tracking Alert conditions when ADR reached or exceeded 🎯 Use Cases For Day Traders: Set profit targets at ADR extremes Identify range expansion vs rotation days Know when you've used 75%+ of daily range (possible reversal) Compare RTH vs full day ranges For Swing Traders: Use AWR/AMR for weekly/monthly targets Understand if today's move is significant in weekly context Multi-timeframe confluence Risk Management: Size positions based on % of ADR remaining Avoid trading when ADR exhausted (>100%) Better stop placement using fractional levels 💡 Trading Tips <50% ADR used = Room to run (continuation trades) 50-75% ADR used = Getting extended (scale out) 75-100% ADR used = Near extremes (reversal setups) >100% ADR = Expansion day (trend day or volatility spike) Use fractional levels (33%, 66%) as: Partial profit targets Re-entry zones on pullbacks Confluence with other support/resistance Compare RTH vs Full Day ADR to see if overnight or day session drives volatility. ⚙️ Settings Guide ADR Period: 5 days is standard, adjust for different market regimes Session Types: Use Midnight for crypto or 24hr markets Use RTH for pure day session analysis Use Custom for specific session times (London, Asia, etc.) Custom Levels: Set 25% for quartile levels Set 111% for extended targets beyond ADR Experiment with 50%, 75%, 80% for your strategy Perfect for ES, NQ, YM, RTY futures traders who need precise intraday range analysis with higher timeframe context!
Pine Script® indicator
by bilalmil
1
Option Chain-Based Call & Put Momentum VisualizerOption Chain-Based Call & Put Momentum Visualizer invite-only by @JjpTradingAcademy Overview The Option Chain-Based CE/PE Momentum Visualizer is a powerful analytical tool designed to track real-time momentum and sentiment shifts between Call (CE) and Put (PE) options directly on the chart. It offers deep insight into option buyers’ and sellers’ behavior by analyzing multiple strikes, dynamically calculating cumulative CE/PE strength, and correlating it with underlying index price movements. How to Use The bottom pane of the indicator displays the decay data for both Call and Put options at every candle, green shows positive, red shows negative, and orange shows neutral. At the centre, it shows difference between Call and Put decay data, if the difference is less than 35 then it indicates with lime color otherwise it appears with purple color, When the trend changes between from lime and purple, the indicator plots a purple bar representing strong candles that often precede high momentum moves. High/Low ranges are automatically plotted once the middle value drops below 10. A breakout/breakdown of purple candle at the range indicates a strong directional movement on either side. Reference images for visual guidance: Inputs To ensure proper functionality, fill in all fields correctly - Index/Stock Symbol Name, Pre-Market 's ATM Level, Options Type (OTM, ITM, OTM+ITM), Options Expiry Date, Options Symbol Prefix, Strike Interval If these are not set correctly, runtime errors may occur. CE/PE Candle Strength – Displays CE/PE strength % for each candle Highlight Prior Range – Marks previous High/Low zones for visual confirmation Show Historical Entry Zone – Displays earlier High/Low ranges with color fills to highlight zone strength Alerts Purple Bar Signal (Setup: Add Alert → Condition: "Option Chain-Based Call & Put Momentum Visualizer" → "Purple Bar Signal") Security Call All signals are calculated on bar close. The script uses security () calls to fetch individual option OHLC data for accurate CE/PE momentum analysis. Access Invite-Only. Request access via TradingView PM to @JjpTradingAcademy Redistribution, reselling, or code extraction is strictly prohibited. Disclaimer This indicator is for educational purposes only. It does not constitute financial advice or a guaranteed system of profitability. Trading options involves significant risk - always conduct your own research and apply sound risk management.
Pine Script® indicator
by JjpTradingAcademy
2
Accurate ATR Stop Loss Distance — Risk Management ToolAccurate ATR Stop Loss Distance — Risk Management Tool This indicator calculates an accurate Stop Loss distance in pips using the Average True Range (ATR) multiplied by a user-defined multiplier. It automatically detects the correct pip size based on the instrument type (Forex, Crypto, Stocks, Indices, Futures), adjusting for 2-, 3-, 4-, or 5-digit quotes — ensuring professional-grade precision that matches institutional ATR-based risk systems. 📊 Features: Uses ATR × Multiplier to determine precise SL distance in pips. Automatically adjusts pip value depending on the asset type (handles 5-digit Forex brokers). Clean and minimal design — displays only one info box in the top-right corner. Fully customizable text and background colors. Includes alert condition for automated SL updates. ⚙️ How to use: Set your preferred ATR period and multiplier. The indicator instantly displays your Stop Loss distance in pips at the top-right of the chart. Combine with your entry strategy to calculate lot size or risk per trade. 💡 Ideal for traders who want consistent, objective SL distances derived from volatility rather than arbitrary points or emotions. Note: Educational and informational tool only. Does not execute trades or give financial advice.
Pine Script® indicator
by AleNewTrade
Binary Options Gold Scalping [TradingFinder] 1 & 5 Min Strategy🔵 Introduction In binary options trading, price movements are often driven by the market’s tendency to reach key liquidity zones. These areas include Liquidity, Fair Value Gaps (FVGs), and Order Blocks (OBs), zones where a large number of pending orders are concentrated. When price reaches one of these zones, it typically enters a Liquidity Sweep phase to collect available liquidity. After this process, the market often reacts sharply, either reversing direction or continuing its move with renewed momentum. Understanding this cycle forms the foundation of most smart money-based binary options strategies. In this analytical approach, a Liquidity Sweep is usually seen as a False Breakout, often recognized through a distinctive candle confirmation pattern. The pattern appears when price briefly breaks a level to trigger stops, then quickly returns within range. This formation is one of the most reliable reversal signals for short-term trades and plays a central role in many binary options strategies. After a liquidity sweep, price often returns to Fair Value Gap (FVG) or Order Block (OB) areas to restore balance in the market. These are zones where institutional orders are typically placed, and reactions around them can create high-probability trade setups. In binary options trading, this quick reaction following a sweep and retrace into an FVG or OB provides one of the best entry opportunities for short-term trades. By combining the concepts of Liquidity Sweep, Fair Value Gap, and Order Block, traders can build a precise binary options strategy based on smart money behavior, allowing them to identify market reversals with greater confidence and enter at the optimal moment. Bullish Setup : Bearish Setup : 🔵 How to Use This indicator is built on the Smart Money Concept (SMC) framework and serves as a core tool for accurately detecting Liquidity Sweeps, Order Blocks, and Fair Value Gaps in binary options trading. Its logic is simple yet powerful : when price reaches high-interest liquidity zones and shows reversal signs, the indicator issues an entry signal immediately after a Candle Confirmation is complete. Signals only activate when both the market structure and the candle confirmation pattern align, ensuring high accuracy in spotting genuine reversals. 🟣 Long Position A bullish signal appears when the market, after a downward move, reaches sell-side liquidity zones where liquidity has built up below previous lows. In such conditions, a bullish Order Block or Fair Value Gap often exists in the same region, acting as a potential reversal point. When the indicator detects the presence of liquidity, an imbalance zone (FVG), and a valid candle confirmation simultaneously, it triggers a green Call signal. In a binary options strategy, the best entry moment is immediately after the candle confirmation closes, as this is when the probability of reversal is highest and the market tends to react strongly within the next few candles. In the example below, after the liquidity sweep and candle confirmation, price quickly rallied, resulting in a Binary Win setup. 🟣 Short Position A bearish signal occurs when price, after an upward move, reaches an area of buy-side liquidity and collects liquidity above recent highs. At this stage, the market is typically overbought and ready to reverse. If a bearish Order Block or Fair Value Gap exists in the same area and a candle confirmation pattern forms, the indicator displays a red Put signal. This setup is highly accurate because multiple structural confirmations occur simultaneously : liquidity has been absorbed, price is rebalancing, and the confirmation candle has closed. In binary options trading, this is the ideal moment to enter a Put (Sell) position, as the price reaction to the downside is usually quick and decisive. In the example chart, the indicator generated a bearish signal right after the candle confirmation and completion of the liquidity sweep, price then dropped within minutes, resulting in another Binary Win. 🔵 Settings Time Frame : Select the desired timeframe for analysis. If left blank, the indicator uses the chart’s current timeframe. Swing Period : Defines how many candles are used to detect structural pivots (swing highs and lows). A higher value increases accuracy but reduces the number of signals. Candle Pattern : Enables candle-based confirmation logic. When turned on, the indicator issues signals only if a valid reversal pattern is detected. You can also choose the confirmation filter strength, tighter filters show fewer but more precise signals. 🔵 Conclusion A deep understanding of Liquidity Sweeps, Order Blocks, and Fair Value Gaps can make a decisive difference between ordinary and professional traders in the binary options market. This indicator, combining smart money logic with candle confirmation, is one of the most precise tools for detecting true market reversals. When liquidity is collected and structural reversal signs emerge, the indicator automatically recognizes the price reaction and generates a reliable Call or Put signal. Using this tool alongside market structure analysis and FVG detection allows traders to enter high-probability setups while filtering out false breakouts. For that reason, this binary options strategy is not only suitable for short-term trading but also valuable for understanding deeper smart-money behavior across timeframes. Ultimately, success with this system comes down to two key principles: understanding the logic of the liquidity sweep and waiting for the candle confirmation to close. When these two conditions align, the indicator can pinpoint the best entry points with remarkable precision, helping you build a structured, intelligent, and profitable binary options strategy.
Pine Script® indicator
by TFlab
Liquidity & Momentum Master (LMM)💎 Liquidity & Momentum Master (LMM) A professional dual-system indicator that combines: 📦 High-Volume Support/Resistance Zones and 📊 RSI + Bollinger Band Combo Signals — to visualize both smart money footprints and momentum reversals in one clean tool. 🧱 1. High-Volume Liquidity Zones (Support/Resistance Boxes) Conditions Visible only on 1H and higher timeframes (1H, 4H, 1D, etc.) Detects candles with abnormally high volume and strong ATR-based range Separates bullish (support) and bearish (resistance) zones Visualization All boxes are white, with adjustable transparency (alphaW, alphaBorder) Each box extends to the right automatically Only the most important (Top-N) zones are kept — weaker ones are removed automatically Interpretation White boxes = price areas with heavy liquidity and volume concentration Price approaching these zones often leads to bounces or rejections Narrow spacing = consolidation, wide spacing = potential large move 💎 2. RSI Exit + BB-RSI Combo Signals RSI Exit (Overbought/Oversold Recovery) RSI drops from overbought (>70) → plots red “RSI” above the candle RSI rises from oversold (<30) → plots green “RSI” below the candle Works on 15m, 30m, 1H, 4H, 1D → Indicates short-term exhaustion recovery BB-RSI Combo (Momentum Reversal Confirmation) Active on 1H and higher only Requires both: ✅ RSI divergence (bullish or bearish) ✅ Bollinger Band re-entry (after temporary breakout) Combo Buy (Green Diamond) Bullish RSI divergence Candle closes back above lower Bollinger Band Combo Sell (Red Diamond) Bearish RSI divergence Candle closes back below upper Bollinger Band → Confirms stronger reversal momentum compared to standard RSI signals
Pine Script® indicator
by HSeungpyo