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Wick Pressure Zones [BigBeluga] The Wick Pressure Zones indicator highlights areas where extreme wick activity occurred, signaling strong buy or sell pressure. By measuring unusually long upper or lower wicks and mapping them into gradient volume zones , the tool helps traders identify levels where liquidity was absorbed, leaving behind footprints of supply and demand imbalances. These zones often act as support, resistance, or liquidity sweep magnets . 🔵 CONCEPTS Extreme Wicks : Large upper or lower shadows indicate aggressive rejection — upper wicks suggest selling pressure, lower wicks suggest buying pressure. Volumatic Gradient Zones : From each detected wick, the indicator projects a layered gradient zone, proportional to the wick’s size, showing where most pressure occurred. Liquidity Footprints : These zones mark levels where significant buy/sell volume was executed, often becoming reaction points on future retests. Automatic Expiration : Zones persist until price decisively trades through them, after which they are cleared to keep the chart clean. 🔵 FEATURES Automatic Wick Detection : Identifies extreme upper and lower wick events using percentile filtering and Realative Strength Index. Gradient Zone Visualization : Builds a 10-layer zone from the wick top/bottom, shading intensity according to pressure strength. Volume Labels : Each zone is annotated with the bar’s volume at the origin point for added context. Dynamic Zone Extension : Zones extend to the right as long as they remain relevant; once price closes through them, they are removed. Support & Resistance Mapping : Upper wick zones (red) behave like supply/resistance, lower wick zones (green) like demand/support. Clutter Control : Limits the number of active zones (default 10) to keep charts responsive. Background Highlighting : Optional background shading when new wick zones appear (red for sell, green for buy). 🔵 HOW TO USE Look for Upper Wick Zones (red) : Indicate strong selling pressure; watch for resistance, reversals, or liquidity sweeps above. Look for Lower Wick Zones (green) : Indicate strong buying pressure; watch for support or liquidity sweeps below. Trade Retests : When price returns to a zone, expect a reaction (bounce or rejection) due to leftover liquidity. Combine with Context : Align wick pressure zones with HTF support/resistance, order blocks, or volume profile for stronger signals. Use Volume Labels : High-volume wicks indicate more significant liquidity events, making the zone more likely to act as a strong reaction point. 🔵 CONCLUSION The Wick Pressure Zones is a powerful way to visualize hidden liquidity and aggressive rejections. By mapping extreme wick events into dynamic, volume-annotated zones, it shows traders where the market absorbed heavy buy/sell pressure. These levels frequently act as magnets or turning points, making them valuable for timing entries, stop placement, or fade strategies.
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BigBeluga tarafından
15
SMC - Institutional Confidence Oscillator [PhenLabs]📊 Institutional Confidence Oscillator Version: PineScript™v6 📌 Description The Institutional Confidence Oscillator (ICO) revolutionizes market analysis by automatically detecting and evaluating institutional activity at key support and resistance levels using our own in-house detection system. This sophisticated indicator combines volume analysis, volatility measurements, and mathematical confidence algorithms to provide real-time readings of institutional sentiment and zone strength. Using our advanced thin liquidity detection, the ICO identifies high-volume, narrow-range bars that signal institutional zone formation, then tracks how these zones perform under market pressure. The result is a dual-wave confidence oscillator that shows traders when institutions are actively defending price levels versus when they’re abandoning positions. The indicator transforms complex institutional behavior patterns into clear, actionable confidence percentiles, helping traders align with smart money movements and avoid common retail trading pitfalls. 🚀 Points of Innovation Automated thin liquidity zone detection using volume threshold multipliers and zone size filtering Dual-sided confidence tracking for both support and resistance levels simultaneously Sigmoid function processing for enhanced mathematical accuracy in confidence calculations Real-time institutional defense pattern analysis through complete test cycles Advanced visual smoothing options with multiple algorithmic methods (EMA, SMA, WMA, ALMA) Integrated momentum indicators and gradient visualization for enhanced signal clarity 🔧 Core Components Volume Threshold System: Analyzes volume ratios against baseline averages to identify institutional activity spikes Zone Detection Algorithm: Automatically identifies thin liquidity zones based on customizable volume and size parameters Confidence Lifecycle Engine: Tracks institutional defense patterns through complete observation windows Mathematical Processing Core: Uses sigmoid functions to convert raw market data into normalized confidence percentiles Visual Enhancement Suite: Provides multiple smoothing methods and customizable display options for optimal chart interpretation 🔥 Key Features Auto-Detection Technology: Automatically scans for institutional zones without manual intervention, saving analysis time Dual Confidence Tracking: Simultaneously monitors both support and resistance institutional activity for comprehensive market view Smart Zone Validation: Evaluates zone strength through volume analysis, adverse excursion measurement, and defense success rates Customizable Parameters: Extensive input options for volume thresholds, observation windows, and visual preferences Real-Time Updates: Continuously processes market data to provide current institutional confidence readings Enhanced Visualization: Features gradient fills, momentum indicators, and information panels for clear signal interpretation 🎨 Visualization Dual Oscillator Lines: Support confidence (cyan) and resistance confidence (red) plotted as percentage values 0-100% Gradient Fill Areas: Color-coded regions showing confidence dominance and strength levels Reference Grid Lines: Horizontal markers at 25%, 50%, and 75% levels for easy interpretation Information Panel: Real-time display of current confidence percentiles with color-coded dominance indicators Momentum Indicators: Rate of change visualization for confidence trends Background Highlights: Extreme confidence level alerts when readings exceed 80% 📖 Usage Guidelines Auto-Detection Settings Use Auto-Detection Default: true Description: Enables automatic thin liquidity zone identification based on volume and size criteria Volume Threshold Multiplier Default: 6.0, Range: 1.0+ Description: Controls sensitivity of volume spike detection for zone identification, higher values require more significant volume increases Volume MA Length Default: 15, Range: 1+ Description: Period for volume moving average baseline calculation, affects volume spike sensitivity Max Zone Height % Default: 0.5%, Range: 0.05%+ Description: Filters out wide price bars, keeping only thin liquidity zones as percentage of current price Confidence Logic Settings Test Observation Window Default: 20 bars, Range: 2+ Description: Number of bars to monitor zone tests for confidence calculation, longer windows provide more stable readings Clean Break Threshold Default: 1.5 ATR, Range: 0.1+ Description: ATR multiple required for zone invalidation, higher values make zones more persistent Visual Settings Smoothing Method Default: EMA, Options: SMA/EMA/WMA/ALMA Description: Algorithm for signal smoothing, EMA responds faster while SMA provides more stability Smoothing Length Default: 5, Range: 1-50 Description: Period for smoothing calculation, higher values create smoother lines with more lag ✅ Best Use Cases Trending market analysis where institutional zones provide reliable support/resistance levels Breakout confirmation by validating zone strength before position entry Divergence analysis when confidence shifts between support and resistance levels Risk management through identification of high-confidence institutional backing Market structure analysis for understanding institutional sentiment changes ⚠️ Limitations Performs best in liquid markets with clear institutional participation May produce false signals during low-volume or holiday trading periods Requires sufficient price history for accurate confidence calculations Confidence readings can fluctuate rapidly during high-impact news events Manual fallback zones may not reflect actual institutional activity 💡 What Makes This Unique Automated Detection: First Pine Script indicator to automatically identify thin liquidity zones using sophisticated volume analysis Dual-Sided Analysis: Simultaneously tracks institutional confidence for both support and resistance levels Mathematical Precision: Uses sigmoid functions for enhanced accuracy in confidence percentage calculations Real-Time Processing: Continuously evaluates institutional defense patterns as market conditions change Visual Innovation: Advanced smoothing options and gradient visualization for superior chart clarity 🔬 How It Works 1. Zone Identification Process: Scans for high-volume bars that exceed the volume threshold multiplier Filters bars by maximum zone height percentage to identify thin liquidity conditions Stores qualified zones with proximity threshold filtering for relevance 2. Confidence Calculation Process: Monitors price interaction with identified zones during observation windows Measures volume ratios and adverse excursions during zone tests Applies sigmoid function processing to normalize raw data into confidence percentiles 3. Real-Time Analysis Process: Continuously updates confidence readings as new market data becomes available Tracks institutional defense success rates and zone validation patterns Provides visual and numerical feedback through the oscillator display 💡 Note: The ICO works best when combined with traditional technical analysis and proper risk management. Higher confidence readings indicate stronger institutional backing but should be confirmed with price action and volume analysis. Consider using multiple timeframes for comprehensive market structure understanding.
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PhenLabs tarafından
3
S&R Zones MTF (TechnoBlooms)S&R Zones MTF – Multi-Timeframe Support & Resistance Boxes 🔍 Overview S&R Zones MTF is a professional-grade yet beginner-friendly indicator that dynamically plots Support & Resistance zones across multiple timeframes, helping traders recognize high-probability reversal areas, entry confirmations, and price reaction points. This tool visualizes structured zones as colored boxes, allowing both new and experienced traders to analyze multi-timeframe confluence with ease and clarity. 🧠 What Is This Indicator? S&R Zones MTF automatically detects the most significant support and resistance levels from up to four custom timeframes, using a configurable lookback period. These zones are displayed as colored horizontal boxes directly on the chart, making it easy to: Spot where price has historically reacted Identify potential reversal or breakout zones Confirm entries with institutional-style precision 🛠️ Key Features ✅ Multi-Timeframe Zone Detection (up to 4 timeframes) 📦 Auto Plotted Boxes for Support (Blue) & Resistance (Pink) 🧱 Dynamic Height based on average price range or fixed input 🏷️ Timeframe Labels to instantly identify zone origin 🎛️ Customizable inputs: Lookback length, box color, height style 🔁 Real-time updates as price structure changes 🎓 Educational & Easy to Use Whether you’re a new trader learning about price structure, or a professional applying institutional concepts, this tool offers an educational layout to understand: How price respects historic zones Why multi-timeframe zones offer stronger confluence How to use zones for entry, exit, or risk placement 📈 How to Use (Multi-Timeframe Strategy) Select Your Timeframes – Customize up to 4 higher timeframes (e.g., 1m, 5m, 15m, 1h). Observe Overlapping Zones – When multiple timeframes agree, those zones are more significant. Entry Confirmation – Wait for price to reach a zone, then look for reversal patterns (engulfing candle, pin bar, etc.) Combine with Other Tools – Use alongside indicators like RSI, MACD, or Order Blocks for added confidence. 💡 Pro Tips Zones from higher timeframes (1H, 4H) are often more powerful and reliable. Confluence matters: If a 15m support zone aligns with a 1H support zone — that's a high-probability reaction area. Use break-and-retest strategies with zone rejections for sniper entries. Enable "Auto Height" for a more adaptive, volatility-based zone display. 🌟 Summary S&R Zones MTF blends precision, clarity, and professional analysis into a visual structure that’s easy to understand. Whether you're learning support & resistance or optimizing your MTF edge — this tool will bring clarity to your charts and confidence to your trades.
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TechnoBlooms tarafından
Auto-Calculated Pivot Line/Zone (Based on Time Range)Automatically Calculated Pivot Line/Zone Harness the power of precision with this Custom Time Range Average Line indicator—designed to pinpoint key equilibrium and pivot levels within consolidation zones after a breakout. Select any start and end time to capture the critical price action shaping the market structure between swings, and calculate the true average price using your choice of open, close, high, low, or midpoint. Once the defined period concludes, the indicator freezes the average and extends it forward as a clear horizontal ray, acting as a powerful reference for fair value and market balance. This dynamic line shines brightest within consolidation phases, helping traders identify pivot points and equilibrium zones that often serve as magnets for price after a breakout. Customize the line width to suit your style—use a thinner line width input for a precise single average line, or increase the width to visually represent a broader range or zone. Fully adjustable line color and thickness options ensure this tool integrates seamlessly into any chart setup. Elevate your trading edge by visualizing the hidden balance points between market swings—turning consolidation chaos into clear, strategic opportunities!
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The_Forex_Steward tarafından
IU Pivot Zones + GMADESCRIPTION: IU Pivot Zones + GMA is a smart price-action-based indicator that detects meaningful support and resistance zones formed through pivot highs/lows while combining them with dynamic zone generation and Geometric Moving Averages (GMA). This tool is built to help traders visualize institutional breakout/rejection zones with clear, logical mapping and live box management — helping you stay ahead of the move. The indicator is designed for intraday, swing, and positional traders who want to enhance their trading decisions with visual confluence zones and market structure logic. USER INPUTS * Pivot point Lengths: Number of bars used to detect pivot highs/lows * Zone length: Controls the thickness of the support/resistance zone; higher values create wider zones * GMA Length: Period for calculating the geometric moving averages based on highs and lows * Allow Bar/candle Color: Enables or disables special candle coloring when price interacts with the zones LOGIC OF THE INDICATOR: * Detects pivot highs and pivot lows using the user-defined length * Compares consecutive pivot levels to determine if they fall within a valid ATR-based price band to form a zone * If confirmed, the indicator dynamically plots a resistance or support box between those pivot points, colored respectively (red for resistance, green for support) * The boxes update in real-time based on price action. If price respects the zone, the box extends forward. If price breaks the zone, the box disappears * Geometric Moving Averages (GMA) based on logarithmic mean of highs and lows are plotted to offer a trend bias * Candles that touch the top of the support zone are colored yellow, and those touching the bottom of the resistance zone are orange, enhancing zone reaction visibility WHY IT IS UNIQUE: * Uses logarithmic-based GMAs, which are smoother and less reactive than traditional moving averages * ATR-based zone logic makes it adaptive to volatility instead of using fixed-width zones * Combines structural levels (pivots), volatility filters (ATR), and trend overlays (GMA) in one unified tool * Real-time zone extension and disappearance logic based on price interaction HOW USER CAN BENEFIT FROM IT: * Spot high-probability breakout or reversal zones that price respects consistently * Use the GMA cloud for trend confirmation — for example, bullish bias when price is above both GMAs * Build price action strategies around zone touches, breakouts, or rejections * Use color-coded candles as real-time alerts for potential entry/exit signals near S/R levels * Save time by avoiding manual marking of zones on charts across timeframes DISCLAIMER: This indicator is created for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. All trading involves risk, and users should conduct their own analysis or consult with a qualified financial advisor before making any trading decisions. The creator is not responsible for any losses incurred through the use of this tool. Use at your own discretion.
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Shivam_Mandrai tarafından
13
Custom EMA Zone1. Overview The Custom EMA Cloud Indicator is a technical analysis tool designed to visually display a dynamic zone (or cloud) between two user-defined EMAs. It supports different EMA lengths and allows users to calculate these EMAs using custom timeframes. This flexibility makes it a powerful tool for identifying trends, key price zones, and potential trade signals. 2. Components of the Indicator 2.1. Exponential Moving Averages (EMAs) EMA 1 (Faster EMA): Calculated using a shorter period (e.g., 21). EMA 2 (Slower EMA): Calculated using a longer period (e.g., 50). Users can customize the periods for both EMAs. 2.2. Timeframe Customization Each EMA can be calculated using a higher timeframe than the chart’s timeframe (e.g., calculate EMA 50 on a 1-hour chart while viewing on a 5-minute chart). This feature allows users to incorporate higher timeframe trend context into lower timeframe charts. 2.3. Cloud Zone The cloud is the shaded area between EMA 1 and EMA 2. Color Logic: Light Green: Price opens and closes above both EMAs (bullish momentum). Light Red: Price opens and closes below both EMAs (bearish momentum). 3. How to Use the Indicator 3.1. Trend Identification When the entire price action is above the cloud, it signals a probable uptrend. When the entire price action is below the cloud, it indicates a probable downtrend. When the price is inside the cloud, it reflects probable market consolidation or indecision. 4. Use Cases in Trading Styles 4.1. Scalping Use short EMAs (e.g., EMA 5 and EMA 13) on 1-minute or 3-minute charts. Ideal for quick entries and exits during strong momentum moves. 4.2. Swing Trading Use longer EMAs (e.g., EMA 21 and EMA 50) on 4-hour or daily charts. Helps capture trend continuation over multiple days. 4.3. Trend Following Combine with RSI or MACD to confirm trend strength before entering trades. Stay in the trade as long as price respects the cloud direction. 5. Advantages Visual Clarity: Simplifies decision-making with clearly defined zones. Multi-Timeframe Insight: Offers a higher timeframe trend reference. Customizable: Fits various strategies through adjustable EMAs and timeframes. 6. Limitations Lagging Nature: As with all moving averages, there may be lag during fast reversals. False Signals in Sideways Markets: May produce whipsaws during consolidation
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mayank280cr tarafından
ADX with Shaded ZoneThe ADX with Shaded Zone indicator is a momentum-based tool that visualizes trend strength using the Average Directional Index (ADX) along with the +DI and -DI lines. This indicator enhances the traditional ADX setup by adding a shaded zone between ADX levels 20 and 25, helping traders easily identify the transition area between non-trending and trending market conditions. It plots: +DI (Green): Positive Directional Indicator −DI (Red): Negative Directional Indicator ADX (Blue): Measures the strength of the trend Shaded Zone: Highlights the indecisive range where ADX is below 25 (gray background between levels 20 and 25) ⚙️ How to Use: ✅ Trend Identification: ADX < 20: Weak or no trend. Avoid trend-following strategies. ADX 20–25 (Shaded Zone): Transition zone. Potential trend forming — stay cautious. ADX > 25: Stronger trend. Favor trend-following strategies. ✅ Direction Confirmation: If +DI > -DI and ADX > 25 → Uptrend confirmation. If -DI > +DI and ADX > 25 → Downtrend confirmation. Crossovers between +DI and -DI can be used as early signals. ✅ Shaded Zone Use: The gray shaded area helps visually filter out low-trend strength conditions. Useful for trend traders to wait before entering until ADX breaks above 25.
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MathThomas tarafından
1
ATR Levels and Zones with Signals📌 ATR Levels and Zones with Signals – User Guide Description 🔹 Overview The ATR Levels and Zones with Signals indicator is a volatility-based trading tool that helps traders identify: ✔ Key support & resistance levels based on ATR (Average True Range) ✔ Buy & Sell signals triggered when price enters key ATR zones ✔ Breakout confirmations to detect high-momentum moves ✔ Dynamic Stop-Loss & Take-Profit suggestions Unlike traditional ATR bands, this indicator creates layered ATR zones based on multiple ATR multipliers, allowing traders to gauge volatility and risk-adjust their trading strategies. 🔹 How It Works 🔸 The script calculates a baseline SMA (Simple Moving Average) of the price. 🔸 ATR (Average True Range) is then used to create six dynamic price levels above & below the baseline. 🔸 These levels define different risk zones—higher levels indicate increased volatility and potential trend exhaustion. 📈 ATR Zones Explained 🔹 Lower ATR Levels (Buying Opportunities) 📉 Lower Level 1-2 → Mild Oversold Zone (Potential trend continuation) 📉 Lower Level 3-4 → High Volatility Buy Zone (Aggressive traders start scaling in) 📉 Lower Level 5-6 → Extreme Oversold Zone (High-Risk Reversal Area) 🔹 If price enters these lower zones, it may indicate a potential buying opportunity, especially if combined with trend reversal confirmation. 🔹 Upper ATR Levels (Selling / Take Profit Zones) 📈 Upper Level 1-2 → Mild Overbought Zone (Potential pullback area) 📈 Upper Level 3-4 → High Volatility Sell Zone (Aggressive traders start scaling out) 📈 Upper Level 5-6 → Extreme Overbought Zone (High-Risk for Reversal) 🔹 If price enters these upper zones, it may indicate a potential selling opportunity or trend exhaustion, especially if momentum slows. 🔹 Sensitivity Modes 🔹 Aggressive Mode (More Frequent Signals) → Triggers buy/sell signals at Lower/Upper Level 3 & 4 🔹 Conservative Mode (Stronger Confirmation) → Triggers buy/sell signals at Lower/Upper Level 5 & 6 📌 Choose the mode based on your trading style: ✔ Scalpers & short-term traders → Use Aggressive Mode ✔ Swing & trend traders → Use Conservative Mode for stronger confirmations 🚀 How to Use the Indicator 🔹 For Trend Trading: ✅ Buy when price enters the lower ATR zones (especially in uptrends). ✅ Sell when price enters the upper ATR zones (especially in downtrends). 🔹 For Breakout Trading: ✅ Breakout Buy: Price breaks above Upper ATR Level 3 → Momentum entry for trend continuation ✅ Breakout Sell: Price breaks below Lower ATR Level 3 → Momentum short opportunity 🔹 Stop-Loss & Take-Profit Suggestions 🚨 Stop-Loss: Suggested at Lower ATR Level 6 (for longs) or Upper ATR Level 6 (for shorts) 🎯 Take-Profit: Suggested at Upper ATR Level 3 (for longs) or Lower ATR Level 3 (for shorts) 🔹 Why This Indicator is Unique ✔ Multiple ATR layers for better risk-adjusted trading decisions ✔ Combines ATR-based zones with SMA trend confirmation ✔ Both aggressive & conservative trading modes available ✔ Includes automatic stop-loss & take-profit suggestions ✔ Breakout signals for momentum traders 📢 Final Notes ✅ Free & open-source for the TradingView community! ⚠ Risk Warning: Always confirm signals with other confluences (trend, volume, support/resistance) before trading. 📌 Developed by: Maddog Blewitt 📩 Feedback & improvements are welcome! 🚀
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renderingnature1 tarafından
Ultimate ZonesThe story is simple: I didn't find a support/resistance zones indicator that I actually liked, so I made my own. Features: Independent of the chart timeframe (zones don't change if you switch timeframes) - very important for practical use Live mode (repainting) plus historic mode (non-repainting) Selectable timeframe for zone calculation (default: daily) Can adjust how far the indicator looks back into the past (default: 500 days) Can adjust pivot period to find more or fewer zones Zone heights are based on long-term ATR (to adapt to the asset's volatility automatically) Price tolerance multiplier is adjustable Option to merge zones which are close together into one ("fat zones") I find that together these options (especially those in the "sensitivity" section) allow me to automatically generate almost all the zones I want to see. Occasionally, I do draw some additional zones to get the perfect image I'm looking for on the chart. Explanation We detect pivot points on the selected zone timeframe (taking pivot period and lookback limit into account). Then we combine these pivot points into a zone if they are close enough together in price (here the tolerance parameter comes into play). If "fat zones" is selected, we perform these merges more aggressively even if the resulting zone becomes taller than the standard tolerance. The ATR used for the tolerance is a 500 period ATR, but if there are less than 500 bars available, we use the average of the bars available so far, so we always have a value to work with. In order for a zone to be displayed, it must have been touched by at least 2 separate pivot points. We do not distinguish between pivot highs and pivot lows because support is known to turn into resistance and vice versa. In live mode, we draw the currently active zones as boxes. In historic mode, we plot the active zones at each bar using "plot" and "fill", so there is no repainting or erasing, and you can see which zones were active at any past date. For practical reasons, we draw a maximum of 15 zones around the current price (i.e. 7-8 zones above and 7-8 zones below the price).
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StefanReich tarafından
4
Zigzag Fibonacci Golden Zone [UAlgo]🔶 Description: The "Zigzag Fibonacci Golden Zone" aims to identify potential trend pullback points by utilizing a combination of zigzag patterns and Fibonacci "Golden Zone (0.618 - 0.786)" retracement levels. It plots zigzag lines on the price chart, highlighting significant swing highs and swing lows, and overlays Fibonacci retracement levels to indicate potential support and resistance zones. Additionally, it provides options to display buy and sell signals based on specific criteria. 🔶 Key Features: Zigzag Lines: The indicator plots zigzag lines on the price chart, marking significant swing highs and swing lows. These lines help traders visualize the direction and magnitude of price swings. Fibonacci Retracement Levels: The indicator overlays Fibonacci retracement levels on the chart, indicating potential support and resistance levels. These levels are derived from the Fibonacci sequence and are commonly used by traders to identify reversal points. Fibonacci occurs again when a new zigzag low or high is created : Before new zigzag low pivot appears, After new Zigzag low pivot appears, As you see new fibonacci created after new pivot found also price bounced from retracement zone. Customization Options: Traders can customize various parameters of the indicator, such as the length of the zigzag pattern, color preferences for different elements, and visibility of price labels and buy/sell signals. Buy/Sell Signals: The indicator generates buy and sell signals based on predefined criteria, such as price movements relative to Fibonacci levels and other market conditions. These signals can help traders identify potential entry and exit points in the market. Example : Disclaimer : Please note that trading involves significant risk, and past performance is not indicative of future results. The "Zigzag Fibonacci Golden Zone" indicator is provided for informational purposes only and should not be considered financial advice. Traders should conduct their own research and analysis before making any investment decisions. Additionally, the indicator's performance may vary depending on market conditions and other factors. Users are encouraged to use the indicator as part of a comprehensive trading strategy and to exercise caution when trading in the financial markets.
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UAlgo tarafından
20
Z-Score Based Momentum Zones with Advanced Volatility ChannelsThe indicator "Z-Score Based Momentum Zones with Advanced Volatility Channels" combines various technical analysis components, including volatility, price changes, and volume correction, to calculate Z-Scores and determine momentum zones and provide a visual representation of price movements and volatility based on multi timeframe highest high and lowest low values. Note: THIS IS A IMPROVEMNT OF "Multi Time Frame Composite Bands" INDICATOR OF MINE WITH MORE EMPHASIS ON MOMENTUM ZONES CALULATED BASED ON Z-SCORES Input Options look_back_length: This input specifies the look-back period for calculating intraday volatility. correction It is set to a default value of 5. lookback_period: This input sets the look-back period for calculating relative price change. The default value is 5. zscore_period: This input determines the look-back period for calculating the Z-Score. The default value is 500. avgZscore_length: This input defines the length of the momentum block used in calculations, with a default value of 14. include_vc: This is a boolean input that, if set to true, enables volume correction in the calculations. By default, it is set to false. 1. Volatility Bands (Composite High and Low): Composite High and Low: These are calculated by combining different moving averages of the high prices (high) and low prices (low). Specifically: a_high and a_low are calculated as the average of the highest (ta.highest) and lowest (ta.lowest) high and low prices over various look-back periods (5, 8, 13, 21, 34) to capture short and long-term trends. b_high and b_low are calculated as the simple moving average (SMA) of the high and low prices over different look-back periods (5, 8, 13) to smooth out the trends. high_c and low_c are obtained by averaging a_high with b_high and a_low with b_low respectively. IDV Correction Calulation : In this script the Intraday Volatility (IDV) is calculated as the simple moving average (SMA) of the daily high-low price range divided by the closing price. This measures how much the price fluctuates in a given period. Composite High and Low with Volatility: The final c_high and c_low values are obtained by adjusting high_c and low_c with the calculated intraday volatility (IDV). These values are used to create the "Composite High" and "Composite Low" plots. Composite High and Low with Volatility Correction: The final c_high and c_low values are obtained by adjusting high_c and low_c with the calculated intraday volatility (IDV). These values are used to create the "Composite High" and "Composite Low" plots. 2. Momentum Blocks Based on Z-Score: Relative Price Change (RPC): The Relative Price Change (rpdev) is calculated as the difference between the current high-low-close average (hlc3) and the previous simple moving average (psma_hlc3) of the same quantity. This measures the change in price over time. Additionally, std_hlc3 is calculated as the standard deviation of the hlc3 values over a specified look-back period. The standard deviation quantifies the dispersion or volatility in the price data. The rpdev is then divided by the std_hlc3 to normalize the price change by the volatility. This normalization ensures that the price change is expressed in terms of standard deviations, which is a common practice in quantitative analysis. Essentially, the rpdev represents how many standard deviations the current price is away from the previous moving average. Volume Correction (VC): If the include_vc input is set to true, volume correction is applied by dividing the trading volume by the previous simple moving average of the volume (psma_volume). This accounts for changes in trading activity. Volume Corrected Relative Price Change (VCRPD): The vcrpd is calculated by multiplying the rpdev by the volume correction factor (vc). This incorporates both price changes and volume data. Z-Scores: The Z-scores are calculated by taking the difference between the vcrpd and the mean (mean_vcrpd) and then dividing it by the standard deviation (stddev_vcrpd). Z-scores measure how many standard deviations a value is away from the mean. They help identify whether a value is unusually high or low compared to its historical distribution. Momentum Blocks: The "Momentum Blocks" are essentially derived from the Z-scores (avgZScore). The script assigns different colors to the "Fill Area" based on predefined Z-score ranges. These colored areas represent different momentum zones: Positive Z-scores indicate bullish momentum, and different shades of green are used to fill the area. Negative Z-scores indicate bearish momentum, and different shades of red are used. Z-scores near zero (between -0.25 and 0.25) suggest neutrality, and a yellow color is used.
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federalTacos5392b tarafından
Fibonacci Zone Oscillator With MACD HistogramThe columns After I found a way to calculate a price as a percent of the middle line of the KeltCOG Channel in the KCGmut indicator (published), I got the idea to use the same trick in the Fbonacci Zone Channel (also published), thus creating an oscillator. I plot the percent’s as columns with the color of the KeltCOG Channel. Because the channels I created and published (i.e. Fibonacci Zone, Donchian Fibonacci Trading Tool, Keltner Fibzones, and KeltCOG) all use Fibonacci zones, this indicator also reports the position of the close in their zones. Strategy and Use: Blue column: Close in uptrend area, 4 supports, 0 resistance, ready to rally up. Green column: Close in buyers area, 3 supports, 1 resistance, looking up. Gray column: Close in center area 2 supports, 2 resistances, undecided. Yellow column: Close in sellers area 1 support, 3 resistances, looking down. Red column: Close in downtrend area, 0 support, 4 resistances, ready to rally down. I use this indicator in a layout with three timeframes which I use for stock picking, I pick all stocks with a blue column in every timeframe, the indicator is so clear that I can flip through the 50 charts of my universe of high liquid European blue chips in 15 minutes to make a list of these stocks. Because I use it in conjunction with KeltCOG I also gave it a ‘script sets lookback’ option which can be checked with a feedback label and switched off in the inputs. The MACD histogram I admire the MACD because it is spot on when predicting tops and bottoms. It is also the most sexy indictor in TA. Actually just the histogram is needed, so I don’t show the macd-line and the signal line. I use the same lookback for the slow-ma as for the columns, set the fast-ma to half and the signal-line to a third of the general lookback. Therefore I gave the lookback a minimum value of 6, so the signal gets at least a lookback of 2. The histogram is plotted three times, first as a whitish area to provide a background, then the colums of the Fibzone Oscillator are plotted, then the histogram as a purple line, which contrasts nicely and then as a hardly visible brown histogram. The input settings give the option to show columns and histogram separate or together. Strategy and use: I think about the columns as showing a ‘longer term chosen momentum’ and about the histogram as a ‘short term power momentum’. I use it as additional information. Enjoy, Eykpunter.
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eykpunter tarafından
7
Standard deviation zones Support & Resistance [LM]Hi Guy, I would like to introduce you Standard deviation zones Support & Resistance horizontals. It draws line horizontals on high and low st dev zone. The colors are dynamic depending whether price is below or above the line. Credit is due to @Zeiierman for st dev zone calculation so shout out to him. There are various sections in setting: general setting where you can select source for zone calculation tops setting bottom setting show and hide section of the first timeframe show and hide section of the second timeframe Be aware that when new zone starts and is not finished yet than the top will trail the high of unfinished zone that could be also at the high of current candle and next candle it can change Any suggestions are welcomed
Pine Script® göstergesi
lmatl tarafından
5
Diagonal Interest Zones ScannerThis indicator automatically scans and plots diagonal (slanted) interest zones – dynamic trend-parallel channels that identify statistically validated support/resistance levels within a trending price structure. It detects the strongest "bounce" zones where price has repeatedly respected slanted lines without breaking for a specified hold period, ideal for trending markets. How It Works (Technical Methodology) Trend Channel Detection The script calculates a linear trend slope from a user-defined anchor point (start of lookback or fixed date) to the current close. Range is determined by finding the maximum deviation above/below this trend line over the lookback period. This creates a "channel envelope" capturing the full price oscillation around the trend. Data can be sourced from current or higher timeframe for structural alignment. Stable Update Mechanism To prevent flickering on live bars: Full recalculation (scanning + slope) occurs only after user-defined "Update Frequency" bars close (default 50). All calculated values (slope, channel bottom, levels, scores) are "snapshotted" and frozen until next confirmed update. Drawing uses these stable snapshots, ensuring zones remain fixed during real-time price movement. Auto Mode Scanning When enabled: Scans the channel height in percentage steps (default 1.0%). Each candidate creates a thin diagonal zone (thickness % of price, default 0.04%) parallel to the trend. Counts valid "hits": Price touches zone and holds (no break) for user-defined bars (default 10). Break source: "Close" (strict) or "Wick" (sensitive). Direction assumed by close relative to zone center (support/resistance). Level Selection and Filtering Ranks by hit count, applies minimum distance (% of channel height) to avoid overlap. Limits to max zones (default 9), sorted low to high. Manual mode alternative: Directly uses input percentages (e.g., 0, 50, 100 for channel bottom/mid/top). Diagonal Zone Construction Zones are drawn as filled diagonal bands using two parallel lines (top/bottom) with linefill. Thickness is volatility-adjusted (% of current price). Optional extension far into future or limited projection. Colors: Supply (above price, default light gray), Demand (below price, default cyan) – updates live but positions stay stable. Dashboard and Visuals Table shows current price at each zone (stable during bar), % level, hit count (green if high). Update countdown displayed for transparency. How to Use Perfect for trending markets – identifies dynamic, parallel support/resistance zones that move with price structure. High hit counts: Strong diagonal zones – expect bounces or acceleration on retest. Update Frequency: Higher values (100+) for very stable long-term channels; lower for adaptive intraday. Validation Bars: Increase for stricter zones (fewer false positives). Multi-Timeframe: Use higher TF input for major trend channels on lower charts. Supply Zones (Diagonal above price): Dynamic resistance – potential shorts or profit targets. Demand Zones (Diagonal below price): Dynamic support – potential longs or trailing stops. Manual Mode: Quick plotting of fixed % (e.g., channel median, quartiles). Confluence: Combine with horizontal levels, volume, or order flow for entries. Zones remain visually stable (no repainting during bar) thanks to snapshot logic – reliable for live trading decisions. Disclaimer This indicator is a technical analysis tool and should be used in conjunction with other forms of analysis. Past performance does not guarantee future results. Always use proper risk management.
Pine Script® göstergesi
s3u1l tarafından
Interest Zones ScannerThis indicator automatically scans a user-defined price range (on current or higher timeframe) to detect and plot the strongest horizontal support/resistance zones based on validated price reactions. It intelligently identifies levels where price has repeatedly bounced without breaking for a specified number of bars, prioritizing high-probability reaction areas. How It Works (Technical Methodology) Range Calculation The script determines the high/low range using a configurable method: "Lookback Bars": User-defined number of bars (default 400) on the target timeframe. "Fixed Start Date": Bars since a specified date (default dynamic). Data is fetched via request.security() from a selectable timeframe (default current chart TF) for multi-timeframe alignment. Auto Mode Scanning When enabled: Scans the entire range in small percentage steps (default 1.0%, adjustable down to 0.5%). For each potential level, creates a thin volatility-adjusted zone (height % of price, default 0.07%). Counts "valid hits": Instances where price touches the zone and holds (no break) for user-defined bars (default 10). Break detection: Configurable "Close" (strict) or "Wick" (sensitive). Assumes support/resistance direction based on close relative to zone center. Level Selection and Filtering Ranks candidates by hit count (highest first). Applies minimum distance filter (% apart, default 8%) to avoid clustering. Limits to user-defined max zones (default 9) for clean display. Sorts final zones from low to high price. Manual Mode Alternative When auto disabled: Directly uses user-input percentages (e.g., classic Fibo levels like 23.6, 50, 61.8) applied to the range – no validation/scoring. Zone Construction Horizontal boxes centered on validated levels, with dynamic height (% of price). Colored by position: Supply (above close, default light gray), Demand (below close, default cyan). Optional full extension (both sides) or right-only. Labeled with percentage from range low. Dashboard and Visuals Table (positionable) shows: % Level, Exact Price, Hit Count (green if >3). Header with validation details and lookback info. Vertical line marks range start for reference. How to Use This scanner excels at finding statistically validated horizontal zones where price has shown respect – ideal for support/resistance, mean reversion, or breakout setups. Auto Mode: Best for discovering hidden/non-obvious levels. Higher hit counts = stronger zones (expect reactions/retests). Validation Bars: Increase (e.g., 20+) for stricter, higher-quality zones in trending markets; lower for more sensitive detection. Min Distance: Higher % for fewer, separated zones; lower for denser grids. Multi-Timeframe: Set target TF higher (e.g., Daily) for major structural levels on lower charts. Supply Zones (Above Price): Potential resistance – shorts or take-profits. Demand Zones (Below Price): Potential support – longs or stops below. Confluence: Combine with volume, order blocks, or fibo for entries. Watch for multiple hits + confluence. Manual Mode: Quick plotting of custom % (e.g., fibo retracements/extensions). Fine-tune scan step smaller for precision (slower on large lookbacks) or larger for speed. Disclaimer This indicator is a technical analysis tool and should be used in conjunction with other forms of analysis. Past performance does not guarantee future results. Always use proper risk management.
Pine Script® göstergesi
s3u1l tarafından
Supply & Demand Zones (Volume-Based)📌 Supply & Demand Zones (Volume-Based) — Indicator Description Overview This indicator visually highlights potential supply and demand price zones using historical candle structure combined with relative volume behavior.The zones are intended to help users observe areas of increased market activity where price has previously reacted. This tool is designed for visual analysis only. How the Zones Are Identified Demand zones are highlighted when price shows a strong bullish reaction following a bearish candle.Supply zones are highlighted when price shows a strong bearish reaction following a bullish candle.Relative volume is used as context, not as a predictive input, to classify zones into higher or lower activity levels.Zones automatically invalidate when price structurally breaks them. About the Percentage Display The percentage shown on a zone represents normalized relative volume strength at the time the zone was formed.This value is not a probability, not a success rate, and not a performance metric.It should not be interpreted as a prediction or trading signal.Percentages are displayed only for active zones and are removed once a zone is invalidated. How This Indicator Is Intended to Be Used As a visual reference tool for identifying historical supply and demand areas.As a contextual overlay alongside other forms of technical analysis.To observe how price behaves when revisiting previously active zones.This indicator does not suggest trade direction, entry timing, or exit levels. Important Notes & Limitations All zones are derived from historical price and volume data.Market conditions change, and historical zones may lose relevance over time.No trading decisions should be made based solely on this indicator.Users are encouraged to apply their own analysis and risk management. Disclaimer This indicator is provided for educational and informational purposes only.It does not constitute trading, investment, or financial advice.The author assumes no responsibility for decisions made using this tool.
Pine Script® göstergesi
Market_Logic_India tarafından
ADX Volatility Waves [BOSWaves]ADX Volatility Waves - Trend-Weighted Volatility Mapping with State-Based Wave Transitions Overview ADX Volatility Waves is a regime-aware volatility framework designed to map statistically significant price extremes through adaptive wave structures driven by trend strength. Rather than treating volatility as a static dispersion metric, this indicator conditions all volatility expansion, contraction, and zone placement on ADX-derived trend intensity. Price behavior is interpreted through wave-like transitions between balance, expansion, and exhaustion states rather than isolated band interactions. The result is a dynamic, gradient-based wave system that visually encodes volatility cycles and regime shifts in real time, allowing traders to contextualize price movement within trend-weighted volatility waves. Price is evaluated not by static thresholds, but by its position and progression within adaptive volatility waves shaped by directional strength. Conceptual Framework ADX Volatility Waves is built on the premise that volatility unfolds in waves, not straight lines. Traditional volatility tools identify dispersion but fail to account for how volatility behaves differently across trend regimes. By embedding ADX directly into volatility construction, this indicator ensures that volatility waves expand during strong directional phases and compress during weak or transitioning regimes. Three guiding principles define the framework: Volatility must be conditioned on trend strength Extremes occur within zones, not at lines Signals should emerge from completed wave transitions, not instantaneous touches This reframes analysis from reactive mean-reversion toward regime-aware wave interpretation. Theoretical Foundation The indicator fuses directional movement theory with statistical volatility modeling. Bollinger-derived dispersion provides the structural base, while ADX normalization controls the amplitude of volatility waves. As ADX increases, volatility waves widen and deepen; as ADX weakens, waves compress and tighten around equilibrium. From this foundation, extended upper and lower wave zones are constructed and smoothed to represent statistically significant expansion and contraction phases. At its core are three interacting systems: ADX-Controlled Volatility Engine : Standard deviation is dynamically scaled using normalized ADX values, producing trend-weighted volatility waves. Wave Zone Construction : Smoothed volatility boundaries are offset and expanded to form upper and lower wave zones, defining overextension and compression regions. State-Based Wave Transition Logic : Signals occur only after price completes a full wave cycle: expansion into an extreme wave zone followed by a confirmed return to equilibrium. This structure ensures that signals reflect completed volatility waves, not transient noise. How It Works ADX Volatility Waves processes price action through layered wave mechanics: Trend-Weighted Volatility Calculation : Volatility boundaries are dynamically adjusted using ADX influence, allowing wave amplitude to scale with trend strength. Structural Smoothing : Volatility boundaries are smoothed to stabilize wave geometry and reduce short-term distortions. Wave Offset & Expansion : Upper and lower wave zones are positioned beyond equilibrium and expanded proportionally to volatility range, forming clearly defined expansion waves. Gradient Wave Depth Mapping : Each wave zone is subdivided into multiple gradient layers, visually encoding increasing extremity as price moves deeper into a wave. Wave State Tracking & Cooldown Control : The system tracks prior wave occupancy, enforces neutral stabilization periods, and applies cooldowns to prevent overlapping wave signals. Compression Detection : Volatility width monitoring identifies compression phases, highlighting conditions where new volatility waves are likely to form. Together, these processes create a continuous, adaptive wave map of volatility behavior. Interpretation ADX Volatility Waves reframes market reading around volatility cycles: Upper Volatility Waves (Red Gradient) : Represent upside expansion phases. Deeper wave penetration indicates increased overextension relative to trend-adjusted volatility. Lower Volatility Waves (Green Gradient) : Represent downside expansion phases. Sustained presence signals pressure, while exits toward balance suggest wave completion. Equilibrium Zone : The neutral region between volatility waves. Confirmed re-entry into this zone marks the completion of a wave cycle and forms the basis for BUY and SELL signals. Regime Context via ADX : Strong ADX regimes widen waves, reducing premature reversal signals. Weak ADX regimes compress waves, increasing sensitivity to reversion. Wave progression and completion matter more than single-bar interactions. Signal Logic & Visual Cues ADX Volatility Waves produces single-entry BUY and SELL labels as its visual cues, plotted only when price first enters a volatility wave zone after the defined cooldown period. Buy Signal (Bottom Zone Entry) : A BUY label appears when price enters the lower volatility wave (oversold zone). This highlights potential expansion into undervalued extremes, providing visual context for trend assessment rather than a guaranteed execution trigger. Sell Signal (Top Zone Entry) : A SELL label appears when price enters the upper volatility wave (overbought zone). This marks potential overextension into upper volatility extremes, serving as a contextual indicator of trend stress. All labels respect cooldown tracking to prevent clustering. Alerts are tied directly to these zone-entry signals, and a separate alert monitors volatility squeezes for awareness of compression periods. Strategy Integration ADX Volatility Waves integrates cleanly into volatility-aware trading frameworks: Wave Context Mapping : Use wave depth to assess expansion and exhaustion risk rather than forcing immediate entries. Transition-Based Execution : Prioritize BUY and SELL signals formed after confirmed wave completion. Trend-Regime Filtering : In strong ADX regimes, treat waves as continuation pressure. In weak regimes, favor completed wave reversions. Volatility Cycle Awareness : Monitor compression phases to anticipate the emergence of new volatility waves. Multi-Timeframe Alignment : Apply higher-timeframe ADX regimes to contextualize lower-timeframe wave behavior. Technical Implementation Details Core Engine : ADX-normalized volatility expansion Wave System : Smoothed, offset, expanded volatility waves Visualization : Multi-layer gradient wave zones Signal Logic : State-based wave transitions with cooldown enforcement Alerts : Wave entry, wave completion, volatility compression Performance Profile : Lightweight, real-time optimized overlay Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Short-term volatility waves and intraday transitions 15 - 60 min : Structured intraday wave cycles 4H - Daily : Macro volatility regimes and expansion phases Suggested Baseline Configuration: BB Length : 20 BB StdDev : 1.5 ADX Length : 14 ADX Influence : 0.8 Wave Offset : 1.0 Wave Width : 1.0 Neutral Confirmation : 5 bars These suggested parameters should be used as a baseline; their effectiveness depends on the asset volatility, liquidity, and preferred entry frequency, so fine-tuning is expected for optimal performance. Performance Characteristics High Effectiveness: Markets exhibiting rhythmic volatility expansion and contraction Assets with responsive ADX regime behavior Reduced Effectiveness: Erratic, news-driven price action Illiquid markets with distorted volatility metrics Integration Guidelines Confluence : Combine with BOSWaves structure or trend tools Discipline : Respect wave completion and cooldown logic Risk Framing : Interpret wave depth probabilistically, not predictively Regime Awareness : Always contextualize waves within ADX strength Disclaimer ADX Volatility Waves is a professional-grade volatility and regime-mapping tool. It does not predict price and does not guarantee profitability. Performance depends on market conditions, parameter calibration, and disciplined execution. BOSWaves recommends using this indicator as part of a comprehensive analytical framework incorporating trend, volatility, and structural context.
Pine Script® göstergesi
BOSWaves tarafından
10
Hash Pivot DetectorHash Pivot Detector Professional Support & Resistance Detection with Multi-Timeframe Zone Analysis Developed by Hash Capital Research, the Hash Pivot Detector is a sophisticated indicator designed for identifying key support and resistance levels using pivot-based detection with institutional-grade zone analysis. Key Features Zone-Based Detection Unlike traditional single-line S/R indicators, Hash Pivot Detector uses configurable zones around pivot levels to represent realistic institutional order areas. Adjustable zone width accommodates different asset volatilities. Multi-Timeframe Analysis Displays higher timeframe support/resistance levels alongside current timeframe pivots, providing crucial context for institutional positioning and stronger price barriers. Clean Visual Design Features Hash Capital's signature fluorescent color scheme (pink resistance, cyan support) optimized for dark charts with high contrast and instant visual recognition. Semi-transparent zones keep your chart clean and readable. How It Works The indicator uses pivot high/low detection with configurable left and right bar parameters. When a pivot is confirmed, it plots: Primary support/resistance lines at pivot levels Semi-transparent zones representing realistic order areas Higher timeframe S/R levels as crosses for additional context Recommended Settings For Swing Trading: Pivot Bars: 10-20 left/right Zone Width: 0.5-1.0% HTF: Daily (on 1H-4H charts) For Intraday Trading: Pivot Bars: 5-10 left/right Zone Width: 0.3-0.5% HTF: 1H or 4H (on 5min-15min charts) Asset-Specific Zone Width: Forex/Crypto: 0.3-0.5% Stocks: 0.5-1.0% Volatile Assets: 1.0-2.0% What Makes It Different ✓ Zone-based approach (more realistic than lines) ✓ Multi-timeframe confluence detection ✓ Minimal visual clutter with maximum information ✓ Professional institutional aesthetic ✓ Comprehensive tooltips for easy optimization ✓ No repainting - all pivots are confirmed Best Used For Identifying high-probability entry/exit zones Setting stop-loss and take-profit levels Recognizing breakout/breakdown areas Multi-timeframe confluence analysis Swing trading and position trading Intraday scalping with adjusted parameters Notes Works on all timeframes and markets Fully customizable colors and parameters All settings include detailed optimization guidance Clean code, efficient performance No alerts or notifications (visual analysis only)
Pine Script® göstergesi
Hash_Capital tarafından
1
RSI adaptive zones [AdaptiveRSI]This script introduces a unified mathematical framework that auto-scales oversold/overbought and support/resistance zones for any period length. It also adds true RSI candles for spotting intrabar signals. Built on the Logit RSI foundation, this indicator converts RSI into a statistically normalized space, allowing all RSI lengths to share the same mathematical footing. What was once based on experience and observation is now grounded in math. ✦ ✦ ✦ ✦ ✦ 💡 Example Use Cases RSI(14): Classic overbought/oversold signals + divergence Support in an uptrend using RSI(14) Range breakouts using RSI(21) Short-term pullbacks using RSI(5) ✦ ✦ ✦ ✦ ✦ THE PAST: RSI Interpretation Required Multiple Rulebooks Over decades, RSI practitioners discovered that RSI behaves differently depending on trend and lookback length: • In uptrends, RSI tends to hold higher support zones (40–50) • In downtrends, RSI tends to resist below 50–60 • Short RSIs (e.g., RSI(2)) require far more extreme threshold values • Longer RSIs cluster near the center and rarely reach 70/30 These observations were correct — but lacked a unifying mathematical explanation. ✦ ✦ ✦ ✦ ✦ THE PRESENT: One Framework Handles RSI(2) to RSI(200) Instead of using fixed thresholds (70/30, 90/10, etc.), this indicator maps RSI into a normalized statistical space using: • The Logit transformation to remove 0–100 scale distortion • A universal scaling based on 2/√(n−1) scaling factor to equalize distribution shapes As a result, RSI values become directly comparable across all lookback periods. ✦ ✦ ✦ ✦ ✦ 💡 How the Adaptive Zones Are Calculated The adaptive framework defines RSI zones as statistical regimes derived from the Logit-transformed RSI . Each boundary corresponds to a standard deviation (σ) threshold, scaled by 2/√(n−1), making RSI distributions comparable across periods. This structure was inspired by Nassim Nicholas Taleb’s body–shoulders–tails regime model: Body (±0.66σ) — consolidation / equilibrium Shoulders (±1σ to ±2.14σ) — trending region Tails (outside of ±2.14σ) — rare, high-volatility behavior Transitions between these regimes are defined by the derivatives of the position (CDF) function : • ±1σ → shift from consolidation to trend • ±√3σ → shift from trend to exhaustion Adaptive Zone Summary Consolidation: −0.66σ to +0.66σ Support/Resistance: ±0.66σ to ±1σ Uptrend/Downtrend: ±1σ to ±√3σ Overbought/Oversold: ±√3σ to ±2.14σ Tails: outside of ±2.14σ ✦ ✦ ✦ ✦ ✦ 📌 Inverse Transformation: From σ-Space Back to RSI A final step is required to return these statistically normalized boundaries back into the familiar 0–100 RSI scale. Because the Logit transform maps RSI into an unbounded real-number domain, the inverse operation uses the hyperbolic tangent function to compress σ-space back into the bounded RSI range. RSI(n) = 50 + 50 · tanh(z / √(n − 1)) The result is a smooth, mathematically consistent conversion where the same statistical thresholds maintain identical meaning across all RSI lengths, while still expressing themselves as intuitive RSI values traders already understand. ✦ ✦ ✦ ✦ ✦ Key Features Mathematically derived adaptive zones for any RSI period Support/resistance zone identification for trend-aligned reversals Optional OHLC RSI bars/candles for intrabar zone interactions Fully customizable zone visibility and colors Statistically consistent interpretation across all markets and timeframes Inputs RSI Length — core parameter controlling zone scaling RSI Display : Line / Bar / Candle visualization modes ✦ ✦ ✦ ✦ ✦ 💡 How to Use This indicator is a framework , not a binary signal generator. Start by defining the question you want answered, e.g.: • Where is the breakout? • Is price overextended or still trending? • Is the correction ending, or is trend reversing? Then: Choose the RSI length that matches your timeframe Observe which adaptive zone price is interacting with Interpret market behavior accordingly Example: Long-Term Trend Assesment using RSI(200) A trader may ask: "Is this a long term top?" Unlikely, because RSI(200) holds above Resistance zone , therefore the trend remains strong. ✦ ✦ ✦ ✦ ✦ 👉 Practical tip: If you used to overlay weekly RSI(14) on a daily chart (getting a line that waits 5 sessions to recalculate), you can now read the same long-horizon state continuously : set RSI(70) on the daily chart (~14 weeks × 5 days/week = 70 days) and let the adaptive zones update every bar . Note: It won’t be numerically identical to the weekly RSI due to lookback period used, but it tracks the same regime on a standardized scale with bar-by-bar updates. ✦ ✦ ✦ ✦ ✦ Note: This framework describes statistical structure, not prediction. Use as part of a complete trading approach. Past behavior does not guarantee future outcomes. framework ≠ guaranteed signal --- Attribution & License This indicator incorporates: • Logit transformation of RSI • Variance scaling using 2/√(n−1) • Zone placement derived from Taleb’s body–shoulders–tails regime model and CDF derivatives • Inverse TANH(z) transform for mapping z-scores back into bounded RSI space Released under CC BY-NC-SA 4.0 — free for non-commercial use with credit. © AdaptiveRSI
Pine Script® göstergesi
AdaptiveRSI tarafından
22
Liquidity Void Zone Detector [PhenLabs]📊 Liquidity Void Zone Detector Version: PineScript™v6 📌 Description The Liquidity Void Zone Detector is a sophisticated technical indicator designed to identify and visualize areas where price moved with abnormally low volume or rapid momentum, creating "voids" in market liquidity. These zones represent areas where insufficient trading activity occurred during price movement, often acting as magnets for future price action as the market seeks to fill these gaps. Built on PineScript v6, this indicator employs a dual-detection methodology that analyzes both volume depletion patterns and price movement intensity relative to ATR. The revolutionary 3D visualization system uses three-layer polyline rendering with adaptive transparency and vertical offsets, creating genuine depth perception where low liquidity zones visually recede and high liquidity zones protrude forward. This makes critical market structure immediately apparent without cluttering your chart. 🚀 Points of Innovation Dual detection algorithm combining volume threshold analysis and ATR-normalized price movement sensitivity for comprehensive void identification Three-layer 3D visualization system with progressive transparency gradients (85%, 78%, 70%) and calculated vertical offsets for authentic depth perception Intelligent state machine logic that tracks consecutive void bars and only renders zones meeting minimum qualification requirements Dynamic strength scoring system (0-100 scale) that combines inverted volume ratios with movement intensity for accurate void characterization Adaptive ATR-based spacing calculation that automatically adjusts 3D layering depth to match instrument volatility Efficient memory management system supporting up to 100 simultaneous void visualizations with automatic array-based cleanup 🔧 Core Components Volume Analysis Engine: Calculates rolling volume averages and compares current bar volume against dynamic thresholds to detect abnormally thin trading conditions Price Movement Analyzer: Normalizes bar range against ATR to identify rapid price movements that indicate liquidity exhaustion regardless of instrument or timeframe Void Tracking State Machine: Maintains persistent tracking of void start bars, price boundaries, consecutive bar counts, and cumulative strength across multiple bars 3D Polyline Renderer: Generates three-layer rectangular polylines with precise timestamp-to-bar index conversion and progressive offset calculations Strength Calculation System: Combines volume component (inverted ratio capped at 100) with movement component (ATR intensity × 30) for comprehensive void scoring 🔥 Key Features Automatic Void Detection: Continuously scans price action for low volume conditions or rapid movements, triggering void tracking when thresholds are exceeded Real-Time Visualization: Creates 3D rectangular zones spanning from void initiation to termination, with color-coded depth indicating liquidity type Adjustable Sensitivity: Configure volume threshold multiplier (0.1-2.0x), price movement sensitivity (0.5-5.0x), and minimum qualifying bars (1-10) for customized detection Dual Color Coding: Separate visual treatment for low liquidity voids (receding red) and high liquidity zones (protruding green) based on 50-point strength threshold Optional Compact Labels: Toggle LV (Low Volume) or HV (High Volume) circular labels at void centers for quick identification without visual clutter Lookback Period Control: Adjust analysis window from 5 to 100 bars to match your trading timeframe and market volatility characteristics Memory-Efficient Design: Automatically manages polyline and label arrays, deleting oldest elements when user-defined maximum is reached Data Window Integration: Plots void detection binary, current strength score, and average volume for detailed analysis in TradingView's data window 🎨 Visualization Three-Layer Depth System: Each void is rendered as three stacked polylines with progressive transparency (85%, 78%, 70%) and calculated vertical offsets creating authentic 3D appearance Directional Depth Perception: Low liquidity zones recede with back layer most transparent; high liquidity zones protrude with front layer most transparent for instant visual differentiation Adaptive Offset Spacing: Vertical separation between layers calculated as ATR(14) × 0.001, ensuring consistent 3D effect across different instruments and volatility regimes Color Customization: Fully configurable base colors for both low liquidity zones (default: red with 80 transparency) and high liquidity zones (default: green with 80 transparency) Minimal Chart Clutter: Closed polylines with matching line and fill colors create clean rectangular zones without unnecessary borders or visual noise Background Highlight: Subtle yellow background (96% transparency) marks bars where void conditions are actively detected in real-time Compact Labeling: Optional tiny circular labels with 60% transparent backgrounds positioned at void center points for quick reference 📖 Usage Guidelines Detection Settings Lookback Period: Default: 10 | Range: 5-100 | Number of bars analyzed for volume averaging and void detection. Lower values increase sensitivity to recent changes; higher values smooth detection across longer timeframes. Adjust based on your trading timeframe: short-term traders use 5-15, swing traders use 20-50, position traders use 50-100. Volume Threshold: Default: 1.0 | Range: 0.1-2.0 (step 0.1) | Multiplier applied to average volume. Bars with volume below (average × threshold) trigger void conditions. Lower values detect only extreme volume depletion; higher values capture more moderate low-volume situations. Start with 1.0 and decrease to 0.5-0.7 for stricter detection. Price Movement Sensitivity: Default: 1.5 | Range: 0.5-5.0 (step 0.1) | Multiplier for ATR-normalized price movement detection. Values above this threshold indicate rapid price changes suggesting liquidity voids. Increase to 2.0-3.0 for volatile instruments; decrease to 0.8-1.2 for ranging or low-volatility conditions. Minimum Void Bars: Default: 10 | Range: 1-10 | Minimum consecutive bars exhibiting void conditions required before visualization is created. Filters out brief anomalies and ensures only sustained voids are displayed. Use 1-3 for scalping, 5-10 for intraday trading, 10+ for swing trading to match your time horizon. Visual Settings Low Liquidity Color: Default: Red (80% transparent) | Base color for zones where volume depletion or rapid movement indicates thin liquidity. These zones recede visually (back layer most transparent). Choose colors that contrast with your chart theme for optimal visibility. High Liquidity Color: Default: Green (80% transparent) | Base color for zones with relatively higher liquidity compared to void threshold. These zones protrude visually (front layer most transparent). Ensure clear differentiation from low liquidity color. Show Void Labels: Default: True | Toggle display of compact LV/HV labels at void centers. Disable for cleaner charts when trading; enable for analysis and review to quickly identify void types across your chart. Max Visible Voids: Default: 50 | Range: 10-100 | Maximum number of void visualizations kept on chart. Each void uses 3 polylines, so setting of 50 maintains 150 total polylines. Higher values preserve more history but may impact performance on lower-end systems. ✅ Best Use Cases Gap Fill Trading: Identify unfilled liquidity voids that price frequently returns to, providing high-probability retest and reversal opportunities when price approaches these zones Breakout Validation: Distinguish genuine breakouts through established liquidity from false breaks into void zones that lack sustainable volume support Support/Resistance Confluence: Layer void detection over key horizontal levels to validate structural integrity—levels within high liquidity zones are stronger than those in voids Trend Continuation: Monitor for new void formation in trend direction as potential continuation zones where price may accelerate due to reduced resistance Range Trading: Identify void zones within consolidation ranges that price tends to traverse quickly, helping to avoid getting caught in rapid moves through thin areas Entry Timing: Wait for price to reach void boundaries rather than entering mid-void, as voids tend to be traversed quickly with limited profit-taking opportunities ⚠️ Limitations Historical Pattern Indicator: Identifies past liquidity voids but cannot predict whether price will return to fill them or when filling might occur No Volume on Forex: Indicator uses tick volume for forex pairs, which approximates but doesn't represent true trading volume, potentially affecting detection accuracy Lagging Confirmation: Requires minimum consecutive bars (default 10) before void is visualized, meaning detection occurs after void formation begins Trending Market Behavior: Strong trends driven by fundamental catalysts may create voids that remain unfilled for extended periods or permanently Timeframe Dependency: Detection sensitivity varies significantly across timeframes; settings optimized for one timeframe may not perform well on others No Directional Bias: Indicator identifies liquidity characteristics but provides no predictive signal for price direction after void detection Performance Considerations: Higher max visible void settings combined with small minimum void bars can generate numerous visualizations impacting chart rendering speed 💡 What Makes This Unique Industry-First 3D Visualization: Unlike flat volume or liquidity indicators, the three-layer rendering with directional depth perception provides instant visual hierarchy of liquidity quality Dual-Mode Detection: Combines both volume-based and movement-based detection methodologies, capturing voids that single-approach indicators miss Intelligent Qualification System: State machine logic prevents premature visualization by requiring sustained void conditions, reducing false signals and chart clutter ATR-Normalized Analysis: All detection thresholds adapt to instrument volatility, ensuring consistent performance across stocks, forex, crypto, and futures without constant recalibration Transparency-Based Depth: Uses progressive transparency gradients rather than colors or patterns to create depth, maintaining visual clarity while conveying information hierarchy Comprehensive Strength Metrics: 0-100 void strength calculation considers both the degree of volume depletion and the magnitude of price movement for nuanced zone characterization 🔬 How It Works Phase 1: Real-Time Detection On each bar close, the indicator calculates average volume over the lookback period and compares current bar volume against the volume threshold multiplier Simultaneously measures current bar's high-low range and normalizes it against ATR, comparing the result to price movement sensitivity parameter If either volume falls below threshold OR movement exceeds sensitivity threshold, the bar is flagged as exhibiting void characteristics Phase 2: Void Tracking & Qualification When void conditions first appear, state machine initializes tracking variables: start bar index, initial top/bottom prices, consecutive bar counter, and cumulative strength accumulator Each subsequent bar with void conditions extends the tracking, updating price boundaries to envelope all bars and accumulating strength scores When void conditions cease, system checks if consecutive bar count meets minimum threshold; if yes, proceeds to visualization; if no, discards the tracking and resets Phase 3: 3D Visualization Construction Calculates average void strength by dividing cumulative strength by number of bars, then determines if void is low liquidity (>50 strength) or high liquidity (≤50 strength) Generates three polyline layers spanning from start bar to end bar and from top price to bottom price, each with calculated vertical offset based on ATR Applies progressive transparency (85%, 78%, 70%) with layer ordering creating recession effect for low liquidity zones and protrusion effect for high liquidity zones Creates optional center label and pushes all visual elements into arrays for memory management Phase 4: Memory Management & Display Continuously monitors polyline array size (each void creates 3 polylines); when total exceeds max visible voids × 3, deletes oldest polylines via array.shift() Similarly manages label array, removing oldest labels when count exceeds maximum to prevent memory accumulation over extended chart history Plots diagnostic data to TradingView’s data window (void detection binary, current strength, average volume) for detailed analysis without cluttering main chart 💡 Note: This indicator is designed to enhance your market structure analysis by revealing liquidity characteristics that aren’t visible through standard price and volume displays. For best results, combine void detection with your existing support/resistance analysis, trend identification, and risk management framework. Liquidity voids are descriptive of past market behavior and should inform positioning decisions rather than serve as standalone entry/exit signals. Experiment with detection parameters across different timeframes to find settings that align with your trading style and instrument characteristics.
Pine Script® göstergesi
PhenLabs tarafından