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Jaxon007 Trend Cloud StrategyThe Jaxon007 Trend Cloud Strategy is a trend-following trading system that combines custom moving averages with ATR-based volatility zones to generate high-quality entries and exits. It is designed for traders who want to visualize trend strength and participate in retests during strong directional moves. 🔍 How It Works: Trend Direction is determined by comparing a fast and slow moving average. The selected moving average is adjusted using the Average True Range (ATR) to create dynamic volatility bands. When price crosses above the adjusted band in an uptrend, it triggers a long entry. When price crosses below the band in a downtrend, it triggers a short entry. Exits occur when the trend reverses or when price crosses the band in the opposite direction. ⚙ Customizable Parameters: MA Length – base moving average period. MA Type – choose from SMA, EMA, SMMA (RMA), WMA, or VWMA. ATR Length – fixed at 200 (can be made adjustable if needed). Cloud Colors – customizable for uptrend and downtrend visuals. Visual Features: Trend Cloud formed between the base MA and ATR-adjusted band. Buy/Sell Labels appear at valid entry points. Clear color-coded lines for quick trend recognition.
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Jaxon007 tarafından
AriVestHub_MACDPhilosophy and Function of AriVestHub_MACD The AriVestHub_MACD is an enhanced version of the classic MACD indicator. By combining histogram extremum analysis with statistical logic, it provides a precise view of the true significance of market movements. Core Functionality 1. Detecting MACD Histogram Extremes: The indicator automatically identifies and stores the local maxima and minima of the MACD histogram. These extremum points form the basis for further analysis and plotting key levels. 2. Dynamic Threshold Levels (U15 and L55): Based on the last N extremum points (user-defined), two critical lines are drawn: o U15: The level above which the top 15% of recent histogram extrema lie. o L55: The level below which the bottom 55% of recent histogram extrema lie. These lines update dynamically on every bar, providing a real-time picture of market conditions. 3. Analyzing Distribution and Significance of Histogram Extremes: By calculating the number of extrema above U15 and below L55, the indicator identifies which MACD movements have high, medium, or low significance. This allows traders to assess the real strength of MACD movements, even when their apparent size on the chart is misleading. 4. Statistical and Reliable Insights: Instead of relying on guesswork or visual impressions, the indicator uses statistically grounded percentage analysis, ensuring decisions are consistent, objective, and repeatable. Practical Benefits • Identify key price levels and potential reversal zones • Evaluate the significance of histogram movements • Improve risk management and timing of entries/exits • Adapt to market changes across different timeframes Summary Philosophy The AriVestHub_MACD focuses on extremum points and their distribution. Using dynamic threshold lines, it enables traders to: • Distinguish highly significant moves from less important ones • Accurately define support and resistance zones based on real data • Make decisions based on statistically grounded insights In essence, this indicator merges classic technical analysis with advanced statistical logic, empowering traders to operate more intelligently and data-driven.
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arman_ariamanesh tarafından
1
Darvas Box – VsMarketTrend-V1.0Darvas Box is an advanced consolidation & breakout detection tool inspired by Nicolas Darvas’ famous trading principles. This script helps you automatically detect consolidation zones (Darvas Boxes) on the chart and highlights breakout points with clear visual boxes. It is designed for swing traders and breakout traders who want to identify price compression zones where strong moves are likely to happen. 🔍 How It Works The indicator looks back a consolidation window (number of bars). If price stays within a tight range (max % width) and meets the closing conditions, a Darvas Box is drawn. Boxes extend to the right until price breaks above or below the range. Breakouts are color-coded: ✅ Green border → breakout UP ❌ Red border → breakout DOWN Neutral boxes remain gray until breakout. Alerts can be enabled to notify on breakouts. ⚙️ Inputs Explained Consolidation window (bars): Number of bars to check for consolidation. Minimum bars required: Ensures the box has at least this many bars inside. Max consolidation width (%): Rejects wide ranges (only considers tight consolidations). Confirm bars: Waits this many bars before finalizing a box (cancels if price makes a higher high). Min closes inside inner range: How many candle closes must lie inside the inner band (center zone of the range). Inner band width (%): The % of the consolidation range considered as the “inner zone.” Lower = stricter. Strict bar check?: If enabled, all opens & closes must lie inside the consolidation range. Extend box right (bars): Extends the box into future candles for better visualization. Box fill transparency: Control visibility of box shading. Border width: Thickness of box borders. Neutral / Breakout colors: Colors for neutral, up-breakout, and down-breakout borders. Show Top/Bottom labels: Display price levels at the box top and bottom. Alert on breakout: Trigger alerts when price breaks out of a box. Min % separation: Prevents back-to-back boxes if the new range is too close to the last one. 🎯 Use Cases Swing Trading: Identify tight ranges before major breakouts. Breakout Trading: Wait for confirmation of break above/below the box. Backtesting: Analyze how past consolidations led to strong moves. ⚠️ Notes & Best Practices Works best on higher timeframes (1H, 4H, Daily) to filter noise. Use along with volume, RSI, or institutional flow tools for confluence. This indicator is not a buy/sell signal. It highlights potential breakouts — traders should confirm with their strategy. For cleaner boxes: Use consolidation window 8–15 bars. Keep max consolidation width 8–12%. Use inner band % ~50%. Min closes inside = 3–7. 📢 Alerts Enable “Alert on breakout” to get notified instantly when a Darvas Box breaks up or down.
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LoveTheProcess tarafından
GMP - Decision Order Block DetectorPurpose This indicator refines trade target mapping on the H1 timeframe by automatically detecting and labeling Decision Order Blocks (OBs). It helps traders identify high-probability profit-taking zones and forecast likely price destinations within the GMP multi-timeframe workflow. Features - Automatic detection and labeling of bullish (demand) and bearish (supply) Decision OBs. - Displays precise price levels for clear target mapping and liquidity destination tracking. - Serves as a higher timeframe reference for trade exits, profit-taking, or directional context. - Clean visual layout with adjustable label placement and status line values. Notes - The indicator runs on the H1 timeframe, regardless of the active chart timeframe. - Intended for educational and analytical purposes only — not a standalone signal provider. - Works best when combined with trendline bias (H1), structure pathing (CHoCH/BOS), and refined entry zones from M15 and M5.
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GoldMindPrecision tarafından
Market Weather CompassMarket Weather Compass: Your At-a-Glance Market Condition Dashboard Markets move like the weather: sometimes calm, sometimes stormy. This indicator acts as your personal market weather station, providing an intuitive, at-a-glance view of current conditions across major markets. Instead of juggling dozens of charts, you can instantly assess risk and identify opportunities with a single, easy-to-read tool. Key Features Multi-Market Analysis: Automatically detects and evaluates conditions for US Stocks (NYSE, NASDAQ), Korean Stocks (KRX), and the Crypto market. Composite Weather Score: Synthesizes complex data from key economic drivers—VIX (volatility), DXY (dollar index), US10Y (bond yields), and USD/KRW (FX rate)—into a single, smoothed score line on your chart. Intuitive Dashboard: Displays the current "Weather State" (e.g., Sunny, Cloudy, Risk), a corresponding strategy, and real-time values of key indicators in a clean table at the bottom-right of your chart. Crypto-Specific States: For crypto markets, it identifies unique conditions like "Alt Season" or "Bitcoin Bull" by analyzing total market cap and Bitcoin dominance (BTC.D) trends. Intelligent Alert System: Provides timely, configurable alerts for significant changes, including weather state shifts, index spikes/crashes, volatility surges, and trend changes in key drivers. Bilingual Support: Fully localized interface with a simple language toggle (English/Korean) in the settings. How to Use Load the Indicator: Add the "Market Weather Compass" to your TradingView chart. 💡 Important: The indicator auto-detects the market (US, KR, Crypto) based on the current chart. To receive alerts for a specific market, you must apply the indicator to a chart of a ticker from that market (e.g., AAPL for US stocks, BTCUSDT for crypto). Configure Settings: In the indicator settings, choose your preferred Language. Enable or disable the Dashboard and Alerts for each market type as needed. Fine-tune thresholds for alerts and criteria for the weather score to match your trading style. Interpret the Visuals: Dashboard: Use the dashboard for a quick summary of the current market state, index performance, and key metric trends (indicated by 🔺 or 🔻). Weather Score Line: Follow the main score line in the indicator pane. A rising line indicates improving conditions (moving toward green), while a falling line suggests worsening conditions (moving toward red). The zero-line acts as a neutral baseline. Detailed Alerts Guide This indicator acts as your personal market radar. You can configure alerts for the following key events: Market Weather Change: Get notified instantly when the overall market condition shifts (e.g., from Sunny to Cloudy or Risk). Index Volatility: Receive alerts for sudden market spikes or drops based on your custom percentage threshold for the main index (e.g., Nasdaq futures, KOSPI). Volatility Index Trends : Alerts for when the VIX (for US) or VKOSPI (for KR) begins a new rising or falling trend, signaling shifts in market sentiment. Currency & Bond Yields: Notifications when the Dollar Index (DXY) or USD/KRW exchange rate breaks key trends, or when the US 10-Year Treasury Yield (US10Y) crosses into a risk zone. Crypto Market Dynamics: Specific alerts for the start of an "Alt Season," a shift in Bitcoin dominance, or changes in the ETH/BTC trend. Example Strategies The indicator's output is not a signal, but a guide to inform your strategy. Weather = Sunny → Conditions are favorable. Consider focusing on strong sectors or scaling into positions. Weather = Risk → Conditions are unfavorable. Consider reducing exposure, taking profits, or increasing cash positions. Crypto = Alt Season → Broad market rally. Capital may be flowing from majors to altcoins. Crypto = Bitcoin Bull → Bitcoin is leading the market. Altcoins may underperform. Disclaimer This indicator is a tool for market analysis and should not be considered financial advice. It provides a simplified model of complex market dynamics. All trading and investment decisions involve risk, and you are solely responsible for your own choices. Always conduct your own thorough research before entering a trade. Past performance is not indicative of future results. Final Note Investing is a constant balance between risk and opportunity. The Market Weather Compass aims to make that balance as clear and intuitive as a daily weather forecast. Next time you open a chart, let this compass be your guide.
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lazydogsindicator tarafından
Simple Turnover (Enhanced v2)📊 Simple Turnover (Enhanced) 🔹 Overview The Simple Turnover Indicator calculates a stock’s turnover by combining both price and volume, and then compares it against quarterly highs. This helps traders quickly gauge whether market participation in a move is strong enough to confirm a breakout, or weak and likely to be false. Unlike volume alone, turnover considers both traded volume and price level, giving a truer reflection of capital flow in/out of a stock. ________________________________________ 🔹 Formulae Used 1. Average Price (SMA) AvgPrice=SMA(Close,n) 2. Average Volume (SMA) AvgVol=SMA(Volume,n) 3. Turnover (Raw) Turnover raw=AvgPrice × AvgVol 4. Unit Adjustment • If Millions → Turnover = Turnover raw × 10^−6 • If Crores → Turnover = Turnover raw × 10^−7 • If Raw → Turnover = Turnover raw 5. Quarterly High Turnover (qHigh) Within each calendar quarter (Jan–Mar, Apr–Jun, Jul–Sep, Oct–Dec), we track the maximum turnover seen: qHigh=max (Turnover within current quarter) ________________________________________ 🔹 Visualization • Bars → Color follows price candle: o Green if Close ≥ Open o Red if Close < Open • Blue Line → Rolling Quarterly High Turnover (qHigh) ________________________________________ 🔹 Strategy Use Case The Simple Turnover Indicator is most effective for confirming true vs false breakouts. • A true breakout should be supported by increasing turnover, showing real capital backing the move. • A false breakout often occurs with weak or declining turnover, suggesting lack of conviction. 📌 Example Strategy (3H timeframe): 1. Identify a demand zone using your preferred supply-demand indicator. 2. From this demand zone, monitor turnover bars. 3. A potential long entry is validated when: o The current turnover bar is at least 20% higher than the previous one or two bars. o Example setting: SMA length = 5 (i.e., turnover = 5-bar average close × 5-bar average volume). 4. This confirms strong participation in the move, increasing probability of a sustained breakout. ________________________________________ 🔹 Disclaimer ⚠️ This indicator/strategy does not guarantee 100% accurate results. It is intended to improve the probability of identifying true breakouts. The actual success of the strategy will depend on price action, market momentum, and prevailing market conditions. Always use this as a supporting tool along with broader trading analysis and risk management.
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IndianCamel tarafından
2
Institutional Levels (CNN) - [PhenLabs]📊Institutional Levels (Convolutional Neural Network-inspired) Version : PineScript™v6 📌Description The CNN-IL Institutional Levels indicator represents a breakthrough in automated zone detection technology, combining convolutional neural network principles with advanced statistical modeling. This sophisticated tool identifies high-probability institutional trading zones by analyzing pivot patterns, volume dynamics, and price behavior using machine learning algorithms. The indicator employs a proprietary 9-factor logistic regression model that calculates real-time reaction probabilities for each detected zone. By incorporating CNN-inspired filtering techniques and dynamic zone management, it provides traders with unprecedented accuracy in identifying where institutional money is likely to react to price action. 🚀Points of Innovation ● CNN-Inspired Pivot Analysis - Advanced binning system using convolutional neural network principles for superior pattern recognition ● Real-Time Probability Engine - Live reaction probability calculations using 9-factor logistic regression model ● Dynamic Zone Intelligence - Automatic zone merging using Intersection over Union (IoU) algorithms ● Volume-Weighted Scoring - Time-of-day volume Z-score analysis for enhanced zone strength assessment ● Adaptive Decay System - Intelligent zone lifecycle management based on touch frequency and recency ● Multi-Filter Architecture - Optional gradient, smoothing, and Difference of Gaussians (DoG) convolution filters 🔧Core Components ● Pivot Detection Engine - Advanced pivot identification with configurable left/right bars and ATR-normalized strength calculations ● Neural Network Binning - Price level clustering using CNN-inspired algorithms with ATR-based bin sizing ● Logistic Regression Model - 9-factor probability calculation including distance, width, volume, VWAP deviation, and trend analysis ● Zone Management System - Intelligent creation, merging, and decay algorithms for optimal zone lifecycle control ● Visualization Layer - Dynamic line drawing with opacity-based scoring and optional zone fills 🔥Key Features ● High-Probability Zone Detection - Automatically identifies institutional levels with reaction probabilities above configurable thresholds ● Real-Time Probability Scoring - Live calculation of zone reaction likelihood using advanced statistical modeling ● Session-Aware Analysis - Optional filtering to specific trading sessions for enhanced accuracy during active market hours ● Customizable Parameters - Full control over lookback periods, zone sensitivity, merge thresholds, and probability models ● Performance Optimized - Efficient processing with controlled update frequencies and pivot processing limits ● Non-Repainting Mode - Strict mode available for backtesting accuracy and live trading reliability 🎨Visualization ● Dynamic Zone Lines - Color-coded support and resistance levels with opacity reflecting zone strength and confidence scores ● Probability Labels - Real-time display of reaction probabilities, touch counts, and historical hit rates for active zones ● Zone Fills - Optional semi-transparent zone highlighting for enhanced visual clarity and immediate pattern recognition ● Adaptive Styling - Automatic color and opacity adjustments based on zone scoring and statistical significance 📖Usage Guidelines ● Lookback Bars - Default 500, Range 100-1000, Controls the historical data window for pivot analysis and zone calculation ● Pivot Left/Right - Default 3, Range 1-10, Defines the pivot detection sensitivity and confirmation requirements ● Bin Size ATR units - Default 0.25, Range 0.1-2.0, Controls price level clustering granularity for zone creation ● Base Zone Half-Width ATR units - Default 0.25, Range 0.1-1.0, Sets the minimum zone width in ATR units for institutional level boundaries ● Zone Merge IoU Threshold - Default 0.5, Range 0.1-0.9, Intersection over Union threshold for automatic zone merging algorithms ● Max Active Zones - Default 5, Range 3-20, Maximum number of zones displayed simultaneously to prevent chart clutter ● Probability Threshold for Labels - Default 0.6, Range 0.3-0.9, Minimum reaction probability required for zone label display and alerts ● Distance Weight w1 - Controls influence of price distance from zone center on reaction probability ● Width Weight w2 - Adjusts impact of zone width on probability calculations ● Volume Weight w3 - Modifies volume Z-score influence on zone strength assessment ● VWAP Weight w4 - Controls VWAP deviation impact on institutional level significance ● Touch Count Weight w5 - Adjusts influence of historical zone interactions on probability scoring ● Hit Rate Weight w6 - Controls prior success rate impact on future reaction likelihood predictions ● Wick Penetration Weight w7 - Modifies wick penetration analysis influence on probability calculations ● Trend Weight w8 - Adjusts trend context impact using ADX analysis for directional bias assessment ✅Best Use Cases ● Swing Trading Entries - Enter positions at high-probability institutional zones with 60%+ reaction scores ● Scalping Opportunities - Quick entries and exits around frequently tested institutional levels ● Risk Management - Use zones as dynamic stop-loss and take-profit levels based on institutional behavior ● Market Structure Analysis - Identify key institutional levels that define current market structure and sentiment ● Confluence Trading - Combine with other technical indicators for high-probability trade setups ● Session-Based Strategies - Focus analysis during high-volume sessions for maximum effectiveness ⚠️Limitations ● Historical Pattern Dependency - Algorithm effectiveness relies on historical patterns that may not repeat in changing market conditions ● Computational Intensity - Complex calculations may impact chart performance on lower-end devices or with multiple indicators ● Probability Estimates - Reaction probabilities are statistical estimates and do not guarantee actual market outcomes ● Session Sensitivity - Performance may vary significantly between different market sessions and volatility regimes ● Parameter Sensitivity - Results can be highly dependent on input parameters requiring optimization for different instruments 💡What Makes This Unique ● CNN Architecture - First indicator to apply convolutional neural network principles to institutional-level detection ● Real-Time ML Scoring - Live machine learning probability calculations for each zone interaction ● Advanced Zone Management - Sophisticated algorithms for zone lifecycle management and automatic optimization ● Statistical Rigor - Comprehensive 9-factor logistic regression model with extensive backtesting validation ● Performance Optimization - Efficient processing algorithms designed for real-time trading applications 🔬How It Works ● Multi-timeframe pivot identification - Uses configurable sensitivity parameters for advanced pivot detection ● ATR-normalized strength calculations - Standardizes pivot significance across different volatility regimes ● Volume Z-score integration - Enhanced pivot weighting based on time-of-day volume patterns ● Price level clustering - Neural network binning algorithms with ATR-based sizing for zone creation ● Recency decay applications - Weights recent pivots more heavily than historical data for relevance ● Statistical filtering - Eliminates low-significance price levels and reduces market noise ● Dynamic zone generation - Creates zones from statistically significant pivot clusters with minimum support thresholds ● IoU-based merging algorithms - Combines overlapping zones while maintaining accuracy using Intersection over Union ● Adaptive decay systems - Automatic removal of outdated or low-performing zones for optimal performance ● 9-factor logistic regression - Incorporates distance, width, volume, VWAP, touch history, and trend analysis ● Real-time scoring updates - Zone interaction calculations with configurable threshold filtering ● Optional CNN filters - Gradient detection, smoothing, and Difference of Gaussians processing for enhanced accuracy 💡Note This indicator represents advanced quantitative analysis and should be used by traders familiar with statistical modeling concepts. The probability scores are mathematical estimates based on historical patterns and should be combined with proper risk management and additional technical analysis for optimal trading decisions.
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PhenLabs tarafından
3
Irrationality Index by CRYPTO_ADA_BTC"The market can be irrational longer than you can stay solvent" ~ John Maynard Keynes This indicator, the Irrationality Index, measures how far the current market price has deviated from a smoothed estimate of its "fair value," normalized for recent volatility. It provides traders with a visual sense of when the market may be behaving irrationally, without giving direct buy or sell signals. How it works: 1. Fair Value Calculation The indicator estimates a "fair value" for the asset using a combination of a long-term EMA (exponential moving average) and a linear regression trend over a configurable period. This fair value serves as a smoothed baseline for price, balancing trend-following and mean-reversion. 2. Volatility-Adjusted Z-Score The deviation between price and fair value is measured in standard deviations of recent log returns: Z = (log(price) - log(fairValue)) / volatility This standardization accounts for different volatility environments, allowing comparison across assets. 3. Irrationality Score (0–100) The Z-score is transformed using a logistic mapping into a 0–100 scale: - 50 → price near fair value (rational zone) - >75 → high irrationality, price stretched above fair value - >90 → extreme irrationality, unsustainable extremes - <25 → high irrationality, price stretched below fair value - <10 → extreme bearish irrationality 4. Price vs Fair Value (% deviation) The indicator plots the percentage difference between price and fair value: pctDiff = (price - fairValue) / fairValue * 100 - Positive values → Percentage above fair value (optimistic / overvalued) - Negative values → Percentage below fair value (pessimistic / undervalued) Visuals: - Irrationality (%) Line (0–100) shows irrationality level. - Background Colors: Yellow= high bullish irrationality, Green= extreme bullish irrationality, Orange= high bearish irrationality, Red= extreme bearish irrationality. - Price - FairValue (%) plot: price deviation vs fair value (%), Colored green above 0 and red below 0. - Label: display actual price, estimated fair value, and Z-score for the latest bar. - Alerts: configurable thresholds for high and extreme irrationality. How to read it: - 50 → Market trading near fair value. - >75 / >90 → Price may be irrationally high; risk of pullback increases. - <25 / <10 → Price may be irrationally low; potential rebound zones, but trends can continue. - Price - FairValue (%) plot → visual guide for % price stretch relative to fair value. Notes / Warnings: - Measures relative deviation, not fundamental value! - High irrationality scores do not automatically indicate trades; markets can remain can be irrational longer than you can stay solvent . - Best used with other tools: momentum, volume, divergence, and multi-timeframe analysis.
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CRYPTO_ADA_BTC tarafından
RMA EMA Crossover | MisinkoMasterThe RMA EMA Crossover (REMAC) is a trend-following overlay indicator designed to detect shifts in market momentum using the interaction between a smoothed RMA (Relative Moving Average) and its EMA (Exponential Moving Average) counterpart. This combination provides fast, adaptive signals while reducing noise, making it suitable for a wide range of markets and timeframes. 🔎 Methodology RMA Calculation The Relative Moving Average (RMA) is calculated over the user-defined length. RMA is a type of smoothed moving average that reacts more gradually than a standard EMA, providing a stable baseline. EMA of RMA An Exponential Moving Average (EMA) is then applied to the RMA, creating a dual-layer moving average system. This combination amplifies trend signals while reducing false crossovers. Trend Detection (Crossover Logic) Bullish Signal (Trend Up) → When RMA crosses above EMA. Bearish Signal (Trend Down) → When EMA crosses above RMA. This simple crossover system identifies the direction of momentum shifts efficiently. 📈 Visualization RMA and EMA are plotted directly on the chart. Colors adapt dynamically to the current trend: Cyan / Green hues → RMA above EMA (bullish momentum). Magenta / Red hues → EMA above RMA (bearish momentum). Filled areas between the two lines highlight zones of trend alignment or divergence, making it easier to spot reversals at a glance. ⚡ Features Adjustable length parameter for RMA and EMA. Overlay format allows for direct integration with price charts. Visual trend scoring via color and fill for rapid assessment. Works well across all asset classes: crypto, forex, stocks, indices. ✅ Use Cases Trend Following → Stay on the right side of the market by following momentum shifts. Reversal Detection → Crossovers highlight early trend changes. Filter for Trading Systems → Use as a confirmation overlay for other indicators or strategies. Visual Market Insight → Filled zones provide immediate context for trend strength.
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MisinkoMaster tarafından
NY Anchored VWAP and Auto SMAThis NY Anchored VWAP and Auto SMA script is a powerful combination of two of the most popular technical indicators, designed to help you identify the intraday trend and potential shifts in market momentum. It stands out by automatically adjusting to current volatility, providing more adaptive and reliable signals than standard moving averages. How It Works This script combines a New York session-anchored VWAP with a dynamic Simple Moving Average (SMA) that automatically adjusts its length based on market volatility. New York Anchored VWAP: The VWAP (Volume-Weighted Average Price) resets at the beginning of the New York trading session. This allows it to accurately track the average price paid by traders for the day, providing a key benchmark for identifying whether the price is trading at a premium or a discount relative to the volume-driven trend. The color of the VWAP line itself changes to indicate its slope: green for an upward trend and red for a downward trend. Auto SMA: The script calculates a Simple Moving Average (SMA) but with a twist. It uses the Average True Range (ATR) to measure market volatility. When volatility is high, the SMA's lookback period automatically shortens to make it more responsive to price changes. Conversely, when volatility is low, the lookback period lengthens to smooth out the data and reduce noise. This dynamic adjustment helps the SMA stay relevant in all market conditions. Key Features Adaptive Lookback: The Auto SMA dynamically adjusts to market volatility, providing more responsive signals during volatile periods and smoother, more reliable signals during calm periods. Color-Coded VWAP: The VWAP line changes color to instantly show the direction of the trend, making it easy to see at a glance if the average price is rising or falling. Automated Alerts: The script provides automated alerts for when the VWAP crosses above or below the Auto SMA, signaling potential bullish or bearish momentum shifts. Customizable Settings: You can hide the VWAP on daily or higher timeframes and change the source for the VWAP calculation to suit your specific trading style. This tool is perfect for intraday and swing traders who want a more intelligent and adaptive way to measure trend direction and identify potential trading opportunities.
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immediatePerso44773 tarafından
Volume ClusteringThis Volume Clustering script is a powerful tool for analyzing intraday trading dynamics by combining two key metrics: volume Z-Score and Cumulative Volume Delta (CVD). By categorizing market activity into distinct clusters, it helps you identify high-conviction trading opportunities and understand underlying market pressure. How It Works The script operates on a simple, yet effective, premise: it classifies each trading bar based on its statistical significance (volume Z-Score) and buying/selling pressure (CVD). Volume Z-Score The volume Z-Score measures how far the current bar's volume is from its average, helping to identify periods of unusually high or low volume. This metric is a powerful way to spot when institutional or large players might be entering the market. A high Z-Score suggests a significant event is taking place, regardless of direction. Cumulative Volume Delta (CVD) CVD tracks the net buying and selling pressure across different timeframes. The script uses a lower timeframe (e.g., 1-minute) and anchors it to a higher timeframe (e.g., 1-day) to capture intraday pressure. A positive CVD indicates more buying pressure, while a negative CVD suggests more selling pressure. Cluster Categories The script analyzes the confluence of these two metrics to assign a cluster to each bar, providing actionable insights. The clusters are color-coded and labeled to make them easy to interpret: 🟢 High Conviction Bullish: Unusually high volume (high Z-Score) combined with significant buying pressure (high CVD). This cluster suggests strong bullish momentum. 🔴 High Conviction Bearish: Unusually high volume (high Z-Score) coupled with significant selling pressure (low CVD). This cluster suggests strong bearish momentum. 🟡 Low Conviction/Noise: Low to moderate volume and mixed buying/selling pressure. This represents periods of indecision or consolidation, where market noise is more prevalent. 🟣 Other Clusters: The script also identifies other combinations, such as high volume with moderate CVD, or low volume with high CVD, which can provide additional context for understanding market dynamics. Key Features & Customization The script offers several customizable settings to tailor the analysis to your specific trading style: Z-Score Lookback Length: Adjust the lookback period for calculating the average volume. A shorter period focuses on recent volume trends, while a longer period provides a broader context. CVD Anchor & Lower Timeframe: Define the timeframes used for CVD calculation. You can anchor the analysis to a daily or weekly timeframe while using a lower timeframe (e.g., 1-minute) to capture granular intraday pressure. High/Low Volume Mode: Toggle between "High Volume" mode (which uses 90th and 10th percentiles for clustering) and "Low Volume" mode (which uses 75th and 25th percentiles). This allows you to choose whether to focus on extreme events or more subtle shifts in market sentiment.
Pine Script® göstergesi
immediatePerso44773 tarafından
Volume Candle Rings [CHE]Volume Candle Rings – Spot Volume Extremes Fast 🔍 Marks exceptionally high volume right on the candle as concentric rings. Instantly see how extreme the spike is (levels 1–10), where it happens (anchor on HL2/Close/BodyMid), and how big it is relative to volatility (ATR-scaled). No magic, no blind signals—just clean context for better decisions. Why it helps 🎯 Catch true extremes: Positive-side Z-Score maps spikes into 10 levels. By default, only 8/9/10 show—the ones that matter. Context over clutter: Rings sit on the candle, scale with ATR (market regime), and widen in bars (time). Read absorption, breakout thrusts, or capitulation in context. Signal the new, not the noise: Optional OFF→ON only drawing cuts chart noise and highlights fresh events. How it works ⚙️ Z-Score: `z = (Vol – SMA(Vol, lookback)) / StDev(Vol, lookback)` → clipped at `zScoreCap`, normalized, and binned to 1..10 (0 = none). Only z > 0 counts. Geometry: Vertical diameter = `Level × ATR(atrLength) × atrPerLevel`; horizontal radius = `Level × xBarsPerLevel` bars; curvatureFactor controls roundness. Anchor: Choose HL2, Close, or BodyMid for the vertical center. Performance: Keeps up to maxStoredCircles; FIFO cleanup to stay smooth. Typical use cases 📈 Breakout confirmation: Clusters of 8–10 at range edges → rising initiative. Absorption / fade: Extreme ring (9–10) without follow-through → potential stall or reversal. Blow-off / climax: Single huge ring after a long run → higher odds of mean reversion. News filtering: Show the real outliers, not every minor bump. Inputs (mapped 1:1) 🧩 Z-Score & Levels Lookback (SMA/StDev) – default 200 Z-Score Clipping – default 5.0 Behavior Draw every bar – default ON; OFF = only on OFF→ON switches Max circles to retain – default 120 Anchoring & Geometry Anchor on candle – HL2 / Close / BodyMid ATR Length – default 50 ATR per Level (Y) – default 0.25 Bars per Level (X) – default 0.15 Circle curvature – default 0.70 Level Selection (1–10) Default: 8/9/10 ON, 1–7 OFF. Colors grade from teal/green → orange → red; fill opacity separate. Quick presets ⏱️ Intraday (1–5m): Lookback 150–250, Cap 4.0–5.0, ATR/Level 0.20–0.30, Bars/Level 0.10–0.20, Draw every bar OFF. Swing (1H–1D): Lookback 200–300, Cap 5.0, ATR/Level 0.25–0.35, Bars/Level 0.15–0.25, keep 8–10. Aggressive scouting: Also enable Level 7 for early accumulation. Pro tips 💡 Control object load: Reduce maxStoredCircles or switch Draw every bar OFF on busy charts. Seek confluence: Combine rings with S/R, range edges, VWAP, session H/L. A ring is information, not an entry by itself. Color discipline: Reserve red (9/10) for true extremes; keep lower levels subtle. Limits & notes 🧭 This is visualization, not alerts or auto signals. Many polylines can slow charts—tune Behavior settings. Works across markets/timeframes; adapt parameters to the asset’s character. Who it’s for 🙌 Traders who read volume in price context—breakouts, fades, reversals. See when the market is truly stepping on the gas. Volume Candle Rings \ turns raw volume into precise, scale-aware markers. Spot extremes faster, avoid confusing “loud” with “important,” and make cleaner, context-driven decisions. 🚀 Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Best regards and happy trading Chervolino
Pine Script® göstergesi
chervolino tarafından
RSI ScannerRSI Scanner This script scans a custom list of symbols and displays their RSI values for a selected higher timeframe (default: 3M). It provides a quick way to monitor multiple markets in one place without switching charts. Features: Customizable timeframe for RSI calculation (default: 3M). Adjustable RSI length and source input. Flexible filter: display all symbols or only those with RSI above a chosen threshold. Input your own list of symbols (stocks, forex, futures, crypto) via a text field. Results displayed in a clean, table directly on the chart. Automatic column split when the symbol list is long. Table header shows selected timeframe and filter settings for clarity. How to use: Add the script to your chart. Open the Inputs panel. In Symbols List, enter the tickers you want to track, separated by commas (e.g. AAPL, TSLA, EURUSD, BTCUSD). Set the desired Timeframe (e.g. 3M, 1M, W). Adjust RSI Length and Source if needed. Enable or disable filtering: If filtering is enabled, only symbols with RSI ≥ the threshold will be shown. If disabled, all entered symbols will be displayed. The table in the top-right corner will update automatically on the last bar. Use cases: Monitor RSI across different asset classes on higher timeframes. Quickly spot overbought symbols (e.g. RSI > 70) without switching charts. Create a custom multi-market watchlist tailored to your strategy.
Pine Script® göstergesi
dboichenko tarafından
tradingwithadvHere are the best suitable settings for each indicator in the "tradingwithadv" script optimized for intraday and swing trading: Liquidity Zone: Intraday: Use 5-7 bars left/right for pivot detection to capture short-term liquidity zones. Swing: Increase to 10-14 bars for more reliable swing pivots reflecting bigger market moves. Trading at Retests level: Intraday: ATR length 10-14, multiplier 1.3-1.5 for tighter volatility stops suitable to faster price moves. Swing: ATR length 20-30, multiplier 1.7-2.0 for wider stops to avoid noise during multi-day trends. Fractal Alerts: Intraday: Use shorter Alligator lengths (Jaw 8, Teeth 5, Lips 3) to respond to quick trend changes. Swing: Use standard or longer lengths (Jaw 13, Teeth 8, Lips 5) for smoother trend identification. DonChi: Intraday: Length 10-14 for detecting recent breakouts within a day. Swing: Length 20-40 for identifying longer-term high/low breakout zones. Anchored VWAP: Intraday and Swing: Use default cumulative VWAP as is, adjusts naturally with volume over any timeframe. Trend Finder: Intraday: Length 10-14 to adapt quickly to short-term price trends. Swing: Length 20-30 for smoother trend direction confirmation. Day Trading Booster: Intraday: Length 10-14 to capture immediate trend shifts. Swing: Length 20-50 for overall directional bias. Elder Impulse System with AutoEnvelope: Intraday: Use fast EMA 8-13 and slow EMA 34-55 to catch momentum changes swiftly. Swing: Use fast EMA 13 and slow EMA 65 (default) for clear trend momentum. EMA Cross: Intraday: Short EMA 5-9 and Long EMA 15-21 for fast crossover signals. Swing: Use default 9 and 21 EMAs for balanced entry/exit timing. These settings help tailor the "tradingwithadv" script to the typical price action, volatility, and trend characteristics of intraday and swing trading, balancing sensitivity and noise reduction for effective signal generation. Trial and adjustment are recommended per specific instrument and market conditions.
Pine Script® göstergesi
rohillakunal tarafından
🐬TSI_ShadowAdded the following features to the original TSI Shadow indicator by Daveatt - Candle color on/off - Background color on/off - Conservative signal processing based on the zero line on/off - Conservative signal processing based on full signal alignment on/off YouTube: 'Dolphin Gang' 기존 Daveatt 유저가 개발한 TSI Shadow 에서 아래 기능을 추가 하였습니다. - 캔들 색상 on/off - 배경 색상 on/off - 0선 기준으로 신호 발생 보수적 처리 on/off - 전체 배열 신호 발생 보수적 처리 on/off 유튜브 '돌고래매매단'
Pine Script® göstergesi
BossOfDolphinGang_ tarafından
AKASH.SKYLINETHIS INDICATOR HAS FOUR LINE....lower is green, middle is red and higher is blue. AND pink is segregator line. simply when price is above segregator line(PINK LINE) generally we go for long trade....and vise versa. when we set, we have to take the long trade ..... then find the opportunity of long trade condition....... CONDITION FOR LONG:-- when the red line crossed above the blue line....this is the signal alert for u... then when the green line crossed above the red line..... ur uptrend is starting...... ALSO when the price crossed above the three lines(green,red,blue)in a single candle and clossed above. go for long trade ....and ENJOY THE GOODNESS OF INDICATION. CONDITION FOR short:-- vise versa of above long condition scripts.
Pine Script® göstergesi
floora-algo tarafından