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볼래틸리티

Dresteghamat-Multi timeframe Regime & Exhaustion**Dresteghamat-Multi timeframe Regime & Exhaustion** This script is a custom decision-support dashboard that aggregates volatility, momentum, and structural data across multiple timeframes to filter market noise. It addresses the problem of "Analysis Paralysis" by automating the correlation between lower timeframe momentum and higher timeframe structure using a weighted scoring algorithm. ### 🔧 Methodology & Calculation Logic The core engine does not simply overlay indicators; it normalizes their outputs into a unified score (-100 to +100). The logic is hidden (Protected) to preserve the proprietary weighting algorithm, but the underlying concepts are as follows: **1. Adaptive Timeframe Selection (Context Engine)** Instead of static monitoring, the script detects the user's current chart timeframe (`timeframe.multiplier`) and dynamically assigns two relevant Higher Timeframes (HTF) as anchors. * *Logic:* If Current TF < 5min, the script analyzes 15m and 1H data. If Current TF < 1H, it shifts to 4H and Daily data. This ensures the analysis is contextually relevant. **2. Regime & Volatility Filter (ATR Based)** We use the Average True Range (ATR) to determine the market regime (Trend vs. Range). * **Calculation:** We compare the current Swing Range (High-Low lookback) against a smoothed ATR. A high Ratio (> 2.0) indicates a Trend Regime, activating Trend-Following logic. A low ratio dampens the signals. **3. Directional Bias (Structure + Flow)** Direction is not determined by a single crossover. It is a fusion of: * **Swing Structure:** Using `ta.pivothigh/low` to identify Higher Highs/Lower Lows. * **Volume Flow:** Calculating the cumulative delta of candle bodies over a lookback period. * **Micro-Bias:** A short-term (default 5-bar) momentum filter to detect immediate order flow changes. **4. Exhaustion Logic (Mean Reversion Warning)** To prevent buying at tops, the script calculates an "Exhaustion Score" based on: * **RSI Divergence:** Detecting discrepancies between price peaks and momentum. * **Volatility Extension:** Identifying when price has deviated significantly from its volatility mean (VRSD logic). * **Volume Anomalies:** Detecting low volume on new highs (Supply absorption). ### 📊 How to Read the Dashboard The table displays the raw status of each timeframe. The **"MODE"** row is the output of the algorithmic decision tree: * **BUY/SELL ONLY:** Generated when the Current TF momentum aligns with the dynamically selected HTF structure AND the Exhaustion Score is below the threshold (default 70). * **PULLBACK:** Triggered when the HTF Structure is bullish, but Current Momentum is bearish (indicating a corrective phase). * **HTF EXHAUST:** A safety warning triggered when the HTF Volatility or RSI metrics hit extreme levels, overriding any entry signals. * **WAIT:** Default state when volatility is low (Range Regime) or signals conflict. ### ⚠️ Disclaimer This tool provides algorithmic analysis based on historical price action and volatility metrics. It does not guarantee future results.
Pine Script® 인디케이터
dr-esteghamat의
1
Trend Following Volatility Trail*Script was previously removed by Moderators at 1.8k boosts* - This was out of my control. This script was very popular and seemed to help a lot of traders. I am re uploading to help the community! Trend Following Volatility Trail The Trend Following Volatility Trail is a dynamic trend-following tool that adapts its stop, bias, and zones to real-time volatility and trend strength. Instead of using static ATR multiples like a normal Supertrend or Chandelier Stop, it continuously adjusts itself based on how stretched the market is and how persistent the trend has been. This indicator is based on volatility weighted EMAC This makes the system far more reactive during momentum phases and more conservative during consolidation, helping avoid fake flips and late entries. How It Works The indicator builds an adaptive trail around a smoothed price basis: – It starts with a short EMA as the “core trend line.” – It measures volatility expansion versus normal volatility. – It measures trend persistence by reading whether price has been rising or falling consistently. – These two components combine to adjust the ATR multiplier dynamically. As volatility expands or the trend becomes more persistent, the bands widen. When volatility compresses or the trend weakens, the bands tighten. These adaptive bands form the foundation of the trailing system. Bull & Bear State Logic The tool constantly tracks whether price is above or below the adaptive trail: Price above the upper trail → Bullish regime Price below the lower trail → Bearish regime But instead of flipping immediately, it waits for confirmation bars to avoid noise. This greatly reduces whipsaws and keeps the focus on sustained moves. Once a new regime is confirmed: – A coloured cloud appears (bull or bear) – A label marks the flip point – Alerts can be triggered automatically Best Uses Identifying regime shifts early Riding sustained trends with confidence Avoiding choppy markets by requiring confirmation Using the adaptive cloud as a directional bias layer
Pine Script® 인디케이터
HDAlgos의
HFT 1M: EMA + VWAP + TSRSession VWAP: Volume-Weighted Average Price that resets at the start of each regular trading session; plotted in yellow. EMA15: 15-period exponential moving average rendered as a stepline for crisp visualization; plotted in white. Pivots: Dynamic support (green) and resistance (red) levels derived from highest/lowest values on a custom 100-unit timeframe. References: This High Frequency Trading strategy on a 1-minute timeframe is based on taking advantage of the constant tendency of price to magnetize towards the volume-weighted average price (VWAP) of the daily session, using volatility pivots (upper and lower) and a 15-period moving average. When a new pivot is generated, and after breaking the EMA15, it gives us the possibility to place an order (TP1 of 50% at a 1:1 ratio and let the rest run, expecting greater extension) in the direction towards the VWAP moving average. It must always be kept in mind that this is a discretionary strategy and you must be prudent with risk since you are trading counter-trend. - This strategy is used in the ZcoinTV/ScottFDX community and credits belong to them.The creation of this unique indicator composed of 3 indicators was made so that free account users can take advantage of it without limitation. The code is open-source and copyright-free. The adaptation was done with Artificial Intelligence"
Pine Script® 인디케이터
Nikrostrategy의
Multi-Indicator Trading SystemThree part indicator combined into one with a checklist table for visualization. You get three alert types: BUY SIGNAL: All conditions aligned for long entry! SELL SIGNAL: All conditions aligned for short entry! as well as a ANY SIGNAL setting ⚠️ TRADING SIGNAL: Check chart for details! This indicator works on all products and on your preferred timeframe. This indicator combines 3 published indicators into one: Supertrend - KivancOzbilgic QQE MOD - Mihkel00 RSI + ADX + ATR Strength Gauge - jaredskii Below are the new signal requirements to receive an alert: BUY Signal - ALL of these must be true: ✅ Supertrend flips from bearish to bullish ✅ ADX > threshold (strong trend present) ✅ +DI > -DI (bullish directional movement) ✅ QQE shows bullish momentum confirmation SELL Signal - ALL of these must be true: ✅ Supertrend flips from bullish to bearish ✅ ADX > threshold (strong trend present) ✅ -DI > +DI (bearish directional movement) ✅ QQE shows bearish momentum confirmation DISCLAIMER: Apply risk management and conduct your own analysis to agree with the parameters provided in this script. Hope you enjoy.
Pine Script® 인디케이터
UN1TED의
1
Stochastic Ensembling of OutputsStochastic Ensembling of Outputs 🙏🏻 This is a simple tool/method that would solve naturally many well known problems: “Price reversed 1 tick before the actual level, not executing my limit order” “I consider intraday trend change by checking whether price is above/below VWAP, but is 1 tick enough? What to do, price is now whipsawing around vwap...”. “I want to gradually accumulate a position around a chosen anchor. But where exactly should I put my orders? And I want to automate it ofc.“ “All these DSP adepts are telling you about some kind of noise in the markets… But how can I actually see it?” The easy fix is to make things more analog less digital, by synthesizing numerous noise instances & adding it to any price-applied metric of yours. The ones who fw techno & psytrance, and other music, probably don’t need any more explanations. Then by checking not just 2 lines or 1 process against another one, you will be checking cloud vs cloud of lines, even allowing you to introduce proxies of probabilities. More crosses -> more confirmation to act. How-to use: The tool has 2 inputs: source and target: Sources should always be the underlying process. If you apply the tool to price based metric, leave it hlcc4 unless you have a better one point estimate for each bar; Target is your target, e.g if you want to apply it to VWAP, pick VWAP as target. You can thee on the chart above how trading activity recently never exactly touched VWAP, however noised instances of VWAP 'were' touched The code is clean and written in modular form, you can simply copy paste it to any script of yours if you don't want to have multiple study-on-study script pairs. ^^ applied to prev days highs and lows ^^ applied to MBAD extensions and basis ^^ applied to input series itself Here’s how it works, no ML, no “AI”, no 1k lines of code, just stats: The problem with metrics, even if they are time aware like WMA, is that they still do not directly gain information about “changes” between datapoints. If we pick noise characteristics to match these changes, we’d effectively introduce this info into our ops. ^^ this screenshot represents 2 very different processes: a sine wave and white noise, see how the noise instances learned from each process differ significantly. Changes can be represented as AR1 process . It’s dead simple, no PHD needed, it’s just how the current datapoint is related (or not) to the previous datapoint, no more than 1, and how this relationship holds/evolves over time. Unlike the mainstream approach like MLE, I estimate this relationship (phi parameter) via MoM but giving more weights to more recent datapoints via exponential smoothing over all the data available on your charts (so I encode temporal information), algocomplexity is O(1), lighting fast, just one pass. <- that gives phi , we’d use it as color for our noise generator Then we just need to estimate noise amplitude ( gamma ) via checking what AR1 model actually thought vs the reality, variance of these innovations. Same via exponential smoothing, time aware, O(1), one pass, it’s all it does. Then we generate white gaussian noise, and apply 2 estimated parameters (phi and gamma), and that’s all. Omg, I think I just made my first real DSP script xd Just like Monte Carlo for risk management, this is so simple and natural I can’t believe so many “pros” hide it and never talk about it in open access. Sharing it here on TradingView would’ve not done anything critical for em, but many would’ve benefited. ∞
Pine Script® 인디케이터
gorx1의
3
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® 인디케이터
PhenLabs의
Weekly price boxWeekend Trap / Custom Timebox Analyzer This indicator allows traders to define a specific time window (e.g., the "Weekend Trap" period from Friday to Sunday, or a full weekly range) and automatically draws a box highlighting the price action during that session. It is designed to help visualize gaps, ranges, and trend direction over specific timeframes. Key Features Dynamic Range Detection: automatically draws a box connecting the Highest High and Lowest Low occurring between your start and end times. Trend Visualization: The box changes color dynamically based on price performance: Bullish (Blue): Close is higher than the Open of the defined period. Bearish (Red): Close is lower than the Open of the defined period. Smart Labeling: Displays a customizable label (default: "Box") along with the real-time Percentage Change of the period. The label is positioned intelligently outside the box to avoid cluttering the price action. Flexible Timing: Supports standard intraday sessions (e.g., Mon 09:00 to Mon 17:00). Supports "wrap-around" sessions (e.g., Friday 23:00 to Sunday 17:00). New: Supports full-week monitoring (e.g., Friday to Friday) by handling start times that are later than end times on the same day. Fully Customizable: Configure specific Bullish and Bearish colors (Border, Background, Text). Adjust line styles (Solid, Dashed, Dotted) and widths. Select days via easy-to-use dropdown menus. How to Use Time Settings: Select your Start Day and Time (e.g., Friday 23:00). Select your End Day and Time (e.g., Sunday 17:00). Note: Times are based on the Chart/Exchange time. Visual Settings: Go to the settings menu to define your preferred colors for Bullish and Bearish scenarios. Toggle the Label on/off and adjust text size. Use Cases Weekend Gaps: Monitor price action that occurs during off-hours or between market close and open. Opening Range Breakouts: Define the first hour of trading to see the initial range. Weekly Profiles: Set the start and end day to the same day (e.g., Friday to Friday) to visualize the entire week's range and net performance. Built with Pine Script™ v6
Pine Script® 인디케이터
tsu3의
FxAST Ichi ProSeries Enhanced Full Market Regime EngineFxAST Ichi ProSeries v1.x is a modernized Ichimoku engine that keeps the classic logic but adds a full market regime engine for any market and instrument.” Multi-timeframe cloud overlay Oracle long-term baseline Trend regime classifier (Bull / Bear / Transition / Range) Chikou & Cloud breakout signals HTF + Oracle + Trend dashboard Alert-ready structure for automation No repainting: all HTF calls use lookahead_off. 1. Core Ichimoku Engine Code sections: Input group: Core Ichimoku Function: ichiCalc() Variables: tenkan, kijun, spanA, spanB, chikou What it does Calculates the classic Ichimoku components: Tenkan (Conversion Line) – fast Donchian average (convLen) Kijun (Base Line) – slower Donchian average (baseLen) Senkou Span A (Span A / Lead1) – (Tenkan + Kijun)/2 Senkou Span B (Span B / Lead2) – Donchian over spanBLen Chikou – current close shifted back in time (displace) Everything else in the indicator builds on this engine. How to use it (trading) Tenkan vs Kijun = short-term vs medium-term balance. Tenkan above Kijun = short-term bullish control; below = bearish control. Span A / B defines the cloud, which represents equilibrium and support/resistance. Price above cloud = bullish bias; price below cloud = bearish bias. Graphic 2. Display & Cloud Styling Code sections: Input groups: Display Options, Cloud Styling, Lagging Span & Signals Variables: showTenkan, showKijun, showChikou, showCloud, bullCloudColor, bearCloudColor, cloudLineWidth, laggingColor Plots: plot(tenkan), plot(kijun), plot(chikou), p1, p2, fill(p1, p2, ...) What it does Lets you toggle individual components: Show/hide Tenkan, Kijun, Chikou, and the cloud. Customize cloud colors & opacity: bullCloudColor when Span A > Span B bearCloudColor when Span A < Span B Adjust cloud line width for clarity. How to use it Turn off components you don’t use (e.g., hide Chikou if you only want cloud + Tenkan/Kijun). For higher-timeframe or noisy charts, use thicker Kijun & cloud so structure is easier to see. Graphic Before After 3. HTF Cloud Overlay (Multi-Timeframe) Code sections: Input group: HTF Cloud Overlay Vars: showHTFCloud, htfTf, htfAlpha Logic: request.security(..., ichiCalc(...)) → htfSpanA, htfSpanB Plots: pHTF1, pHTF2, fill(pHTF1, pHTF2, ...) What it does Pulls higher-timeframe Ichimoku cloud (e.g., 1H, 4H, Daily) onto your current chart. Uses the same Ichimoku settings but aggregates on htfTf. Plots an extra, semi-transparent cloud ahead of price: Greenish when HTF Span A > Span B Reddish when HTF Span B > Span A How to use it Trade LTF (e.g., 5m/15m) only in alignment with HTF trend: HTF cloud bullish + LTF Ichi bullish → look for longs HTF cloud bearish + LTF Ichi bearish → look for shorts Treat HTF cloud boundaries as major S/R zones. Graphic 4. Oracle Module Code sections: Input group: Oracle Module Vars: useOracle, oracleLen, oracleColor, oracleWidth, oracleSlopeLen Logic: oracleLine = donchian(oracleLen); slope check vs oracleLine Plot: plot(useOracle ? oracleLine : na, "Oracle", ...) What it does Creates a long-term Donchian baseline (default 208 bars). Uses a simple slope check: Current Oracle > Oracle oracleSlopeLen bars ago → Oracle Bull Current Oracle < Oracle oracleSlopeLen bars ago → Oracle Bear Slope state is also shown in the dashboard (“Bull / Bear / Flat”). How to use it Think of Oracle as your macro anchor : Only take longs when Oracle is sloping up or flat. Only take shorts when Oracle is sloping down or flat. Works well combined with HTF cloud: HTF cloud bullish + Oracle Bull = higher conviction long bias. Ideal for Gold / Indices swing trades as a trend filter. Graphic idea 5. Trend Regime Classifier Code sections: Input group: Trend Regime Logic Vars: useTrendRegime, bgTrendOpacity, minTrendScore Logic: priceAboveCloud, priceBelowCloud, priceInsideCloud Tenkan vs Kijun alignment Cloud bullish/bearish bullScore / bearScore (0–3) regime + regimeLabel + regimeColor Visuals: bgcolor(regimeColor) and optional barcolor() in priceColoring mode. What it does Scores the market in three dimensions : Price vs Cloud Tenkan vs Kijun Cloud Direction (Span A vs Span B) Each condition contributes +1 to either bullScore or bearScore . Then: Bull regime when: bullScore >= minTrendScore and bullScore > bearScore Price in cloud → “Range” Everything else → “Transition” These regimes are shown as: Background colors: Teal = Bull Maroon = Bear Orange = Range Silver = Transition Optional candle recoloring when priceColoring = true. How to use it Filters: Only buy when regime = Bull or Transition and Oracle/HTF agree. Only sell when regime = Bear or Transition and Oracle/HTF agree. No trade zone: When regime = Range (price inside cloud), avoid new entries; wait for break. Aggressiveness: Adjust minTrendScore to be stricter (3) or looser (1). Graphic 6. Signals: Chikou & Cloud Breakout Code sections : Logic: chikouBuySignal = ta.crossover(chikou, close) chikouSellSignal = ta.crossunder(chikou, close) cloudBreakUp = priceInsideCloud and priceAboveCloud cloudBreakDown = priceInsideCloud and priceBelowCloud What it does 1. Two key signal groups: Chikou Cross Signals Buy when Chikou crosses up through price. Sell when Chikou crosses down through price. Classic Ichi confirmation idea: Chikou breaking free of price cluster. 2. Cloud Breakout Signals Long trigger: yesterday inside cloud → today price breaks above cloud. Short trigger: yesterday inside cloud → today price breaks below cloud. Captures “equilibrium → expansion” moves. These are conditions only in this version (no chart shapes yet) but are fully wired for alerts. (Future Updates) How to use it Use Chikou signals as confirmation, not standalone entries: Eg., Bull regime + Oracle Bull + cloud breakout + Chikou Buy. Use Cloud Breakouts to catch the first impulsive leg after consolidation. Graphic 7. Alerts (Automation Ready) [ b]Code sections: Input group: Alerts Vars: useAlertTrend, useAlertChikou, useAlertCloudBO Alert lines like: "FxAST Ichi Bull Trend", "FxAST Ichi Bull Trend", "FxAST Ichi Cloud Break Up" What it does Provides ready-made alert hooks for: Trend regime (Bull / Bear) Chikou cross buy/sell Cloud breakout up/down Each type can be globally toggled on/off via the inputs (helpful if a user only wants one kind). How to use it In TradingView: set alerts using “Any alert() function call” on this indicator. Then filter which ones fire by: Turning specific alert toggles on/off in input panel, or Filtering text in your external bot / webhook side. Example simple workflow ---> Indicator ---> TV Alert ---> Webhook ---> Bot/Broker 8. FxAST Dashboard Code sections: Input group: Dashboard Vars: showDashboard, dashPos, dash, dashInit Helper: getDashPos() → position.* Table cells (updated on barstate.islast): Row 0: Regime + label Row 1: Oracle status (Bull / Bear / Flat / Off) Row 2: HTF Cloud (On + TF / Off) Row 3: Scores (BullScore / BearScore) What it does Displays a compact panel with the state of the whole system : Current Trend Regime (Bull / Bear / Transition / Range) Oracle slope state Whether HTF Cloud is active + which timeframe Raw Bull / Bear scores (0–3 each) Position can be set: Top Right, Top Left, Bottom Right, Bottom Left. How to use it Treat it like a pilot instrument cluster : Quick glance: “Are my trend, oracle and HTF all aligned?” Great for streaming / screenshots: everything important is visible in one place without reading the code. Graphic (lower right of chart )
Pine Script® 인디케이터
alldyn_pip_king의
Vince/Williams Selling Climax SignalThis indicator identifies moments of ultimate market capitulation based on the "Selling Climax" research by Ralph Vince and Larry Williams. It monitors the ratio of New Lows to total traded issues to detect when selling pressure has reached an unsustainable, panic-driven extreme (defaulting to 20% of the entire market hitting new lows). The script visualizes this process in two stages. First, it marks the actual days of panic with red diamonds, showing you where the "washout" is occurring. Second, and most importantly, it generates a green diamond buy signal on the very first day the panic subsides. This allows you to enter a position immediately after the supply of desperate sellers has been exhausted, often catching the absolute bottom of a sharp correction.
Pine Script® 인디케이터
suresh789의
Vince/Williams Extreme Volatility VulnerabilityDescription: This indicator implements the "Period of Extreme Vulnerability" concept developed by Ralph Vince and Larry Williams. The theory posits that a healthy market must regularly see the number of New Lows "dry up" (drop to near zero). When the percentage of New Lows fails to drop below a minimal threshold (default 0.15%) for a prolonged period (default 65 days), it indicates that internal market structure is rotting even if prices are rising, leaving the market fragile and prone to sudden volatility shocks. I have programmed this script to track that exact condition—the extended absence of a "low" New Lows reading. It applies a 50-day Moving Average filter to contextually categorize the signal: Red Dot (Crash Warning): Triggers when the vulnerability period begins while the price is above the 50 SMA. This is the classic warning signal, indicating that an uptrend is unsupported by market internals and a sharp correction may be imminent. Green Dot (Contrarian Buy): Triggers when the vulnerability period begins while the price is below the 50 SMA. The script identifies this as a potential capitulation or value point where the persistent internal weakness is likely already priced in. Note: This indicator requires exchange-wide data (New Lows, Advancers, Decliners) to function. It is best used on daily timeframes.
Pine Script® 인디케이터
suresh789의
BOSS_DELTA_XRAYBOSS DELTA XRAY is a momentum-classification system designed to quantify short-term rate-of-change (ΔROC) behavior using a structured, 7-zone intensity model. The indicator measures 5-bar ROC and maps it into clearly defined thresholds to identify acceleration, deceleration, and momentum degradation with high precision. The goal of BOSS DELTA XRAY is to provide a continuous, color-coded representation of momentum strength to support trade management, continuation assessment, and early detection of weakening trend velocity. This makes it suitable for intraday trading, momentum confirmation, and exit-timing decisions. Mathematical Basis The core metric is a 5-period Rate of Change: 𝑅 𝑂 𝐶 5 = 𝐶 𝑙 𝑜 𝑠 𝑒 − 𝐶 𝑙 𝑜 𝑠 𝑒 5 𝐶 𝑙 𝑜 𝑠 𝑒 5 × 100 ROC 5 ​ = Close 5 ​ Close−Close 5 ​ ​ ×100 This 5-bar ΔROC value is compared against three threshold tiers on both positive and negative sides, creating a symmetric 7-zone classification. Zone Definitions (Absolute ROC%) Zone ROC Threshold Classification Color +3 / –3 > 0.20% High-Intensity Momentum Bright Green +2 / –2 0.10%–0.20% Moderate Momentum Light Green +1 / –1 0.05%–0.10% Low Momentum Yellow 0 < 0.05% Neutral / No Significant Δ Tan The system applies the same structure to positive and negative ROC, maintaining symmetry for upward and downward momentum events. Indicator Output A continuously-colored histogram representing real-time ΔROC magnitude. Color transitions reflect zone boundaries, enabling rapid interpretation of momentum intensity. A zero-line reference is included for structural orientation. Intended Use Cases BOSS DELTA XRAY is designed for: Momentum verification during trend continuation setups Exit timing, identifying when momentum begins to degrade Filtering low-energy environments where continuation probability decreases Monitoring momentum integrity on breakdowns, pullbacks, and retracement legs Confirming trade validity based on sustained ΔROC structure Key Advantages Objective classification of short-term trend velocity Fast identification of momentum failure or deceleration High clarity in intraday environments where momentum shifts rapidly Supports disciplined, systematic trade management Minimizes discretionary interpretation by relying on defined ΔROC thresholds Technical Summary BOSS DELTA XRAY provides a mathematically precise and visually interpretable momentum framework. By quantifying short-term rate-of-change into discrete operational zones, the indicator enables traders to assess momentum strength, weakness, and transition states with consistency and reliability.
Pine Script® 인디케이터
Divinepuppet1618의
Liquidity ThermometerThis is a universal indicator that assesses market liquidity based on five key market parameters: volume, volatility, candlestick range, body size, and price momentum. The indicator does not use open interest data and is suitable for all markets, including spot, futures, and Forex. This indicator normalizes each metric historically and creates a composite index between 0 and 1, where higher values ​​correspond to a stable and calm market environment, and lower values ​​indicate periods of increased risk and potential liquidity stress. LT generates an integral liquidity index in the range based on five normalized components: -nVol — normalized volume, reflecting trading density and activity. -nATR — the volatility component (ATR), inverted, as high volatility is typically associated with declining liquidity. -nRange — the normalized candlestick range, also inverted to assess the structural narrowness of the price movement. -nBody — the normalized candlestick body size (|close − open|), inverted to assess the balance of supply and demand. -nMove — the normalized value of the price impulse movement (|Δclose|), reflecting short-term price spikes. Each metric is linearly normalized over a sliding window (200 bars) using the formula: norm(x) = (x − min) / (max − min), where at max = min, the value is fixed at 0.5 to ensure stability. The ALT index is calculated as a weighted combination: ALT = 0.35 nVol + 0.20 (1 − nATR) + 0.20 (1 − nRange) + 0.15 (1 − nBody) + 0.10 (1 − nMove) The result is further smoothed using EMA(3) to reduce micronoise. Red Zone (MLI < 0.25) — Risk, Thin Liquidity When the indicator falls into the red zone, it means the market is extremely volatile: Characteristics: Low volume — small trades have a strong impact on the price. High volatility — candlesticks rise or fall sharply. Wide candlestick range — the market is "breathing heavily," easily breaking price extremes. Impulsive movements — small market shocks lead to sharp spikes. Thin liquidity — few orders in the order book, large orders "eat up" the market. What this means for a trader: 🔥 High risk of spikes and false breakouts. ⚠ Possible series of liquidations on leverage. ❌ It is not recommended to enter long or short positions without a filter or protection. ✅ Can be used for short scalping strategies if you know the entry point, but very carefully. Green Zone (MLI > 0.75) — High Liquidity, Safe Zone When the indicator rises into the green zone, it means the market is stable and balanced: Characteristics: High volume — the market is deep, orders are executed without a strong impact on the price. Low volatility — candlesticks are stable, no sharp spikes. Narrow candlestick range — price moves calmly. Weak impulse movements — no sharp surges. Sufficient liquidity — the market can handle large orders. What this means for a trader: ✅ Safe zone for opening positions. 🔄 Easier to set stop-loss and take-profit orders. 💡 You can trade both up and down, the risk of sharp movements is minimal. ⚡ Under these conditions, there is a lower risk of spikes and accidental liquidations. It does not predict price movements or guarantee results. It is an analytical tool intended for additional research into market structure.
Pine Script® 인디케이터
Zdorman의
Dresteghamat-Multi timeframe Regime & Exhaustion**Dresteghamat-Multi timeframe Regime & Exhaustion** This script is a custom decision-support dashboard that aggregates volatility, momentum, and structural data across multiple timeframes to filter market noise. It addresses the problem of "Analysis Paralysis" by automating the correlation between lower timeframe momentum and higher timeframe structure using a weighted scoring algorithm. ### 🔧 Methodology & Calculation Logic The core engine does not simply overlay indicators; it normalizes their outputs into a unified score (-100 to +100). The logic is hidden (Protected) to preserve the proprietary weighting algorithm, but the underlying concepts are as follows: **1. Adaptive Timeframe Selection (Context Engine)** Instead of static monitoring, the script detects the user's current chart timeframe (`timeframe.multiplier`) and dynamically assigns two relevant Higher Timeframes (HTF) as anchors. * *Logic:* If Current TF < 5min, the script analyzes 15m and 1H data. If Current TF < 1H, it shifts to 4H and Daily data. This ensures the analysis is contextually relevant. **2. Regime & Volatility Filter (ATR Based)** We use the Average True Range (ATR) to determine the market regime (Trend vs. Range). * **Calculation:** We compare the current Swing Range (High-Low lookback) against a smoothed ATR. A high Ratio (> 2.0) indicates a Trend Regime, activating Trend-Following logic. A low ratio dampens the signals. **3. Directional Bias (Structure + Flow)** Direction is not determined by a single crossover. It is a fusion of: * **Swing Structure:** Using `ta.pivothigh/low` to identify Higher Highs/Lower Lows. * **Volume Flow:** Calculating the cumulative delta of candle bodies over a lookback period. * **Micro-Bias:** A short-term (default 5-bar) momentum filter to detect immediate order flow changes. **4. Exhaustion Logic (Mean Reversion Warning)** To prevent buying at tops, the script calculates an "Exhaustion Score" based on: * **RSI Divergence:** Detecting discrepancies between price peaks and momentum. * **Volatility Extension:** Identifying when price has deviated significantly from its volatility mean (VRSD logic). * **Volume Anomalies:** Detecting low volume on new highs (Supply absorption). ### 📊 How to Read the Dashboard The table displays the raw status of each timeframe. The **"MODE"** row is the output of the algorithmic decision tree: * **BUY/SELL ONLY:** Generated when the Current TF momentum aligns with the dynamically selected HTF structure AND the Exhaustion Score is below the threshold (default 70). * **PULLBACK:** Triggered when the HTF Structure is bullish, but Current Momentum is bearish (indicating a corrective phase). * **HTF EXHAUST:** A safety warning triggered when the HTF Volatility or RSI metrics hit extreme levels, overriding any entry signals. * **WAIT:** Default state when volatility is low (Range Regime) or signals conflict. ### ⚠️ Disclaimer This tool provides algorithmic analysis based on historical price action and volatility metrics. It does not guarantee future results.
Pine Script® 인디케이터
dr-esteghamat의
KSL Academy Indicator🔥 KuyTrade Gold Scalping Pro v2 - ครบทุกอาวุธในตัวเดียว! ⚡ 📊 Indicator สำหรับเทรด Gold M30 ที่รวมเอา 7 กลยุทธ์เข้าด้วยกัน ✅ EMA Trend Filter ✅ RSI + Stochastic (Momentum) ✅ ATR Volatility Filter ✅ Support/Resistance ✅ Price Action Patterns ✅ RSI Divergence ✅ Session Time Filter (London/NY/Asia)💰 ระบบ TP/SL แบบ Pro: TP 3 ระดับ Trailing Stop อัตโนมัติ คำนวณ Risk:Reward Ratio แยกตั้งค่า BUY/SELL ได้ 🎯 ข้อดี ✔ ครบจบในตัวเดียว - ไม่ต้องใช้ Indicator หลายตัว ✔ สัญญาณชัดเจน - มี Label บอกรายละเอียดเต็ม ✔ กรองคุณภาพสูง - Strict Filter Mode ✔ เหมาะกับ Scalping - TP/SL ระยะสั้น⚠️ ข้อควรระวัง: 💡 เหมาะกับใครบ้าง? 👉 Scalper ที่ชอบเทรด Gold M30 👉 คนที่ชอบสัญญาณครบถ้วน 👉 มือใหม่ที่ต้องการ Indicator All-in-One⚙️ Timeframe แนะนำ: M30 (30 นาที) 💵 สินทรัพย์: XAUUSD (Gold) 🕐 ช่วงเวลา: London + NY Session + Sydney + Tokyo
Pine Script® 인디케이터
KuytradeTH의
Rasta Long/Short — StrategyThe Rasta Long/Short Strategy is a visual and educational framework designed to help traders study momentum shifts that appear when a fast EMA interacts with a slower smoothed baseline. It is not a signal service. Instead, it is a research tool that helps you observe transitions, structure, and behavior across different market conditions and smoothing contexts. The script plots: A primary EMA line (fast reaction wave). A Smoothed line (your chosen smoothing method). Color-coded fog regions showing directional bias. Optional DNA rung connections between the two lines for structural comparison. Together, these allow a deeper study of how momentum pushes, volatility compression, expansions, and drift emerge around fast/slow EMA interactions. ✦ Core Idea The Rasta Long/Short mechanism studies how price behaves when the fast EMA crosses above or below a smoothed anchor. Rather than predicting price, it reveals where transitions occur across different structures, timeframes, and smoothing techniques. The Long/Short logic simply highlights flips in directional structure. It is not intended for real-time signals or automated execution; it is intended for understanding market movement. ✦ Smoothing Types (Explained) The strategy allows experimenting with several smoothing families to observe how they transform the fast EMA: SMA (Simple Moving Average) Averaged, slower response. Good for stability comparisons. EMA (Exponential) Faster reaction, more responsive, smoother behavior during momentum. RMA (Wilder’s) Used in RSI calculations; steady, well-balanced response. WMA (Weighted) More weight to recent bars; bridges SMA and EMA dynamics. None Raw EMA vs EMA interaction with no secondary smoothing. Each smoothing type provides unique structural information and can lead to different interpretations. ✦ Modes of Study Designed for multi-timeframe research: 1H / 4H — Momentum flow mapping and structural identification. Daily / Weekly — Higher-timeframe rotations, macro structure transitions. 1–15m — Microstructure studies, noise vs trend emergence. Use the built-in Strategy Tester to explore entry/exit context, but treat results as research, not predictive performance. ✦ Components (Visual Study Tools) EMA Line (Fast) Primary reactive wave. Shows fast directional shifts. Smoothed Line (Slow) Trend baseline / reference structure. Fog Region Highlights fast-vs-smoothed directional alignment. DNA Rungs (Optional) Structural “bridges” showing the exact relationship between waves on each bar. Useful for studying separation, compression, and expansions. ✦ Educational Insights This strategy helps illuminate: How fast and slow EMAs interact dynamically. How structure changes precede trend emergence. Where volatility compresses before expansion. How noise, drift, and clean reversals differ. How different smoothers alter the interpretation of the same price data. The goal is clarity — not prediction. ✦ How to Use Apply to any timeframe or instrument. Enable or disable fog depending on preferred visibility. Use DNA rungs for close structural comparison. Observe long/short flips as educational reference points — not signals. Study transitions visually, then backtest using the Strategy Tester for pattern research. ✦ Disclaimer This script is provided for educational and research purposes only. It does not provide trading signals, financial advice, or recommendations. Past behavior does not indicate future performance. Always practice risk-aware study and consult qualified financial professionals when needed. ✦ Author Michael Culpepper (mikeyc747) Creator of the Rasta framework and related market structure studies.
Pine Script™ 전략
mikeyc747의
VIX Fix Indicator (Hestla 2015)This script provides a streamlined version of the VIX Fix, referencing the foundational work of Larry Williams and the strategies of Amber Hestla. It serves as a synthetic volatility gauge for assets that lack a dedicated VIX index. The math works by measuring the percentage drop from the highest recent close to the current low, essentially quantifying fear in the market without needing options data. This specific script is designed to be purely visual. I have removed all the buy and sell labels found in other versions to leave a clean pane that plots only the oscillator and its moving average. You can use this to identify potential market bottoms when the black line spikes significantly, signaling that selling pressure is reaching a mathematical extreme relative to the recent trend.
Pine Script® 인디케이터
suresh789의
Spot-Futures SpreadSpot-Futures Spread Indicator A comprehensive indicator that automatically calculates and visualizes the percentage spread between spot and perpetual futures prices across multiple exchanges. Key Features: Automatic Exchange Detection - Automatically detects your current exchange and finds the corresponding spot/futures pair Smart Fallback System - If the counterpart isn't available on your exchange, it automatically searches across 7+ major exchanges (Binance, Bybit, OKX, Gate.io, MEXC, KuCoin, HTX) and uses the first valid match Multi-Exchange Support - Works with 14 exchanges including Binance, Bybit, OKX, MEXC, BitGet, Gate.io, KuCoin, and more Clear Exchange Attribution - Shows exactly which exchanges are providing spot and futures data in the statistics table Configurable Moving Average - Track the average spread with customizable period Standard Deviation Bands - Identify unusual spread conditions with Bollinger-style bands Built-in Alerts - Get notified when spread crosses bands or zero (parity) Statistics Table - Real-time stats showing current spread, MA, std dev, and bands Manual Override Options - Advanced users can manually specify exchanges and symbols How It Works: The indicator calculates the spread as: (Futures Price - Spot Price) / Spot Price × 100 Positive spread = Futures trading at a premium (contango) Negative spread = Futures trading at a discount (backwardation) Zero = Parity between spot and futures Use Cases: Funding Rate Analysis - Correlates with perpetual funding rates Arbitrage Opportunities - Identify significant spot-futures divergences Market Sentiment - Premium/discount indicates bullish/bearish positioning Cross-Exchange Analysis - Compare spreads when spot and futures are on different exchanges Smart Features: Works whether you're viewing a spot or futures chart Automatically handles exchange-specific perpetual contract naming (.P, PERP, SWAP, etc.) Color-coded visualization (green for premium, red for discount) Customizable colors and display options Background shading based on spread direction Perfect For: Crypto traders monitoring funding rates, arbitrage traders, market makers, and anyone interested in spot-futures dynamics across multiple exchanges. Getting Started: Simply add the indicator to any spot or perpetual futures chart. It will automatically detect the exchange and find the corresponding pair. The statistics table shows which exchanges are being used for maximum transparency. Note: The indicator automatically ignores invalid symbols, so you'll never see errors even if a specific pair doesn't exist on a particular exchange. Kudos to @AlekMel that made the "Spot - Fut Spread v2" indicator that I enhance the Automatic detection feature which was not working in some case.
Pine Script® 인디케이터
sharkonet의
ATRP & Volatility Table - AIMAN93The ATRP & Volatility Table is a simple yet powerful tool designed to quantify market volatility and help traders adapt their position sizing accordingly. It calculates the Average True Range Percentage (ATRP) — the ATR value relative to current price — and classifies market conditions into three volatility levels: LOW, MEDIUM, or HIGH. Based on the volatility level, it suggests an indicative risk percentage to guide your trade management. This visual tool displays real-time ATRP, volatility classification, and corresponding risk percentage in a compact on-chart table. Ideal for systematic traders who rely on volatility-based decision-making, position sizing, or risk management models. Features: - Dynamic ATRP calculation for any symbol or timeframe - Customizable colors for text and background - Automatic volatility classification (low / medium / high) - Suggested risk percentage for each volatility level
Pine Script® 인디케이터
aimandakwaradv의