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Smart Money Precision Structure [BullByte]Smart Money Precision Structure Advanced Market Structure Analysis Using Institutional Order Flow Concepts --- OVERVIEW Smart Money Precision Structure (SMPS) is a comprehensive market analysis indicator that combines six analytical frameworks to identify high-probability market structure patterns. The indicator uses multi-dimensional scoring algorithms to evaluate market conditions through institutional order flow concepts, providing traders with professional-grade market analysis. --- PURPOSE AND ORIGINALITY Why This Indicator Was Developed • Addresses the gap between retail and institutional analysis methods • Consolidates multiple analysis techniques that professionals use separately • Automates complex market structure evaluation into actionable insights • Eliminates the need for multiple indicators by providing comprehensive analysis What Makes SMPS Original • Six-Layer Confluence System - Unique combination of market regime, structure, volume flow, momentum, price action, and adaptive filtering • Institutional Pattern Recognition - Identifies smart money accumulation and distribution patterns • Adaptive Intelligence - Parameters automatically adjust based on detected market conditions • Real-Time Market Scoring - Proprietary algorithm rates market quality from 0-100% • Structure Break Detection - Advanced pivot analysis identifies trend reversals early --- HOW IT WORKS - TECHNICAL METHODOLOGY 1. Market Regime Analysis Engine The indicator evaluates five core market dimensions: • Volatility Score - Measures current volatility against 50-period historical baseline • Trend Score - Analyzes alignment between 8, 21, and 50-period EMAs • Momentum Score - Combines RSI divergence with MACD signal alignment • Structure Score - Evaluates pivot point formation clarity • Efficiency Score - Calculates directional movement efficiency ratio These scores combine to classify markets into five regimes: • TRENDING - Strong directional movement with aligned indicators • RANGING - Sideways movement with mixed directional signals • VOLATILE - Elevated volatility with unpredictable price swings • QUIET - Low volatility consolidation periods • TRANSITIONAL - Market shifting between different regimes 2. Market Structure Analysis Advanced pivot point analysis identifies: • Higher Highs and Higher Lows for bullish structure • Lower Highs and Lower Lows for bearish structure • Structure breaks when established patterns fail • Dynamic support and resistance from recent pivot points • Key level proximity detection using ATR-based buffers 3. Volume Flow Decoding Institutional activity detection through: • Volume surge identification when volume exceeds 2x average • Buy versus sell pressure analysis using price-volume correlation • Flow strength measurement through directional volume consistency • Divergence detection between volume and price movements • Institutional threshold alerts when unusual volume patterns emerge 4. Multi-Period Momentum Synthesis Weighted momentum calculation across four timeframes: • 1-period momentum weighted at 40% • 3-period momentum weighted at 30% • 5-period momentum weighted at 20% • 8-period momentum weighted at 10% Result smoothed with 6-period EMA for noise reduction. 5. Price Action Quality Assessment Each bar evaluated for: • Range quality relative to 20-period average • Body-to-range ratio for directional conviction • Wick analysis for rejection pattern identification • Pattern recognition including engulfing and hammer formations • Sequential price movement analysis 6. Adaptive Parameter System Parameters automatically adjust based on detected regime: • Trending markets reduce sensitivity and confirmation requirements • Volatile markets increase filtering and require additional confirmations • Ranging markets maintain neutral settings • Transitional markets use moderate adjustments --- COMPLETE SETTINGS GUIDE Section 1: Core Analysis Settings Analysis Sensitivity (0.3-2.0) • Default: 1.0 • Lower values require stronger price movements • Higher values detect more subtle patterns • Scalpers use 0.8-1.2, swing traders use 1.5-2.0 Noise Reduction Level (2-7) • Default: 4 • Controls filtering of false patterns • Higher values reduce pattern frequency • Increase in volatile markets Minimum Move % (0.05-0.50) • Default: 0.15% • Sets minimum price movement threshold • Adjust based on instrument volatility • Forex: 0.05-0.10%, Stocks: 0.15-0.25%, Crypto: 0.20-0.50% High Confirmation Mode • Default: True (Enabled) • Requires all technical conditions to align • Reduces frequency but increases reliability • Disable for more aggressive pattern detection Section 2: Market Regime Detection Enable Regime Analysis • Default: True (Enabled) • Activates market environment evaluation • Essential for adaptive features • Keep enabled for best results Regime Analysis Period (20-100) • Default: 50 bars • Determines regime calculation lookback • Shorter for responsive, longer for stable • Scalping: 20-30, Swing: 75-100 Minimum Market Clarity (0.2-0.8) • Default: 0.4 • Quality threshold for pattern generation • Higher values require clearer conditions • Lower for more patterns, higher for quality Adaptive Parameter Adjustment • Default: True (Enabled) • Enables automatic parameter optimization • Adjusts based on market regime • Highly recommended to keep enabled Section 3: Market Structure Analysis Enable Structure Validation • Default: True (Enabled) • Validates patterns against support/resistance • Confirms trend structure alignment • Essential for reliability Structure Analysis Period (15-50) • Default: 30 bars • Period for structure pattern analysis • Affects support/resistance calculation • Match to your trading timeframe Minimum Structure Alignment (0.3-0.8) • Default: 0.5 • Required structure score for valid patterns • Higher values need stronger structure • Balance with desired frequency Section 4: Analysis Configuration Minimum Strength Level (3-5) • Default: 4 • Minimum confirmations for pattern display • 5 = Maximum reliability, 3 = More patterns • Beginners should use 4-5 Required Technical Confirmations (4-6) • Default: 5 • Number of aligned technical factors • Higher = fewer but better patterns • Works with High Confirmation Mode Pattern Separation (3-20 bars) • Default: 8 bars • Minimum bars between patterns • Prevents clustering and overtrading • Increase for cleaner charts Section 5: Technical Filters Momentum Validation • Default: True (Enabled) • Requires momentum alignment • Filters counter-trend patterns • Essential for trend following Volume Confluence Analysis • Default: True (Enabled) • Requires volume confirmation • Identifies institutional participation • Critical for reliability Trend Direction Filter • Default: True (Enabled) • Only shows patterns with trend • Reduces counter-trend signals • Disable for reversal hunting Section 6: Volume Flow Analysis Institutional Activity Threshold (1.2-3.5) • Default: 2.0 • Multiplier for unusual volume detection • Lower finds more institutional activity • Stock: 2.0-2.5, Forex: 1.5-2.0, Crypto: 2.5-3.5 Volume Surge Multiplier (1.8-4.5) • Default: 2.5 • Defines significant volume increases • Adjust per instrument characteristics • Higher for stocks, lower for forex Volume Flow Period (12-35) • Default: 18 bars • Smoothing for volume analysis • Shorter = responsive, longer = smooth • Match to timeframe used Section 7: Analysis Frequency Control Maximum Analysis Points Per Hour (1-5) • Default: 3 • Limits pattern frequency • Prevents overtrading • Scalpers: 4-5, Swing traders: 1-2 Section 8: Target Level Configuration Target Calculation Method • Default: Market Adaptive • Three modes available: - Fixed: Uses set point distances - Dynamic: ATR-based calculations - Market Adaptive: Structure-based levels Minimum Target/Risk Ratio (1.0-3.0) • Default: 1.5 • Minimum acceptable reward vs risk • Higher filters lower probability setups • Professional standard: 1.5-2.0 Fixed Mode Settings: • Fixed Target Distance: 50 points default • Fixed Invalidation Distance: 30 points default • Use for consistent instruments Dynamic Mode Settings: • Dynamic Target Multiplier: 1.8x ATR default • Dynamic Invalidation Multiplier: 1.0x ATR default • Adapts to volatility automatically Market Adaptive Settings: • Use Structure Levels: True (default) • Structure Level Buffer: 0.1% default • Places levels at actual support/resistance Section 9: Visual Display Settings Color Theme Options • Professional (Teal/Red) - Bullish: Teal (#26a69a) - Bearish: Red (#ef5350) - Neutral: Gray (#78909c) - Best for: Traditional traders, clean appearance • Dark (Neon Green/Pink) - Bullish: Neon Green (#00ff88) - Bearish: Hot Pink (#ff0044) - Neutral: Dark Gray (#333333) - Best for: Dark theme users, high contrast • Light (Green/Red Classic) - Bullish: Green (#4caf50) - Bearish: Red (#f44336) - Neutral: Light Gray (#9e9e9e) - Best for: Light backgrounds, traditional colors • Vibrant (Cyan/Magenta) - Bullish: Cyan (#00ffff) - Bearish: Magenta (#ff00ff) - Neutral: Medium Gray (#888888) - Best for: High visibility, modern appearance Dashboard Position • Options: Top Left, Top Right, Bottom Left, Bottom Right, Middle Left, Middle Right • Default: Top Right • Choose based on chart layout preference Dashboard Size • Full: Complete information display (desktop) • Mobile: Compact view for small screens • Default: Full Analysis Display Style • Arrows : Simple directional markers • Labels : Detailed text information • Zones : Colored areas showing pattern regions • Default: Labels (most informative) Display Options: • Display Analysis Strength: Shows star rating • Display Target Levels: Shows target/invalidation lines • Display Market Regime: Shows regime in pattern labels --- HOW TO USE SMPS - DETAILED GUIDE Understanding the Dashboard Top Row - Header • SMPS Dashboard title • VALUE column: Current readings • STATUS column: Condition assessments Market Regime Row • Shows: TRENDING, RANGING, VOLATILE, QUIET, or TRANSITIONAL • Color coding: Green = Favorable, Red = Caution • Status: FAVORABLE or CAUTION trading conditions Market Score Row • Percentage from 0-100% • Above 60% = Strong conditions • 40-60% = Moderate conditions • Below 40% = Weak conditions Structure Row • Direction: BULLISH, BEARISH, or NEUTRAL • Status: INTACT or BREAK • Orange BREAK indicates structure failure Volume Flow Row • Direction: BUYING or SELLING • Intensity: STRONG or WEAK • Color indicates dominant pressure Momentum Row • Numerical momentum value • Positive = Upward pressure • Negative = Downward pressure Volume Status Row • INST = Institutional activity detected • HIGH = Above average volume • NORM = Normal volume levels Adaptive Mode Row • ACTIVE = Parameters adjusting • STATIC = Fixed parameters • Shows required confirmations Analysis Level Row • Minimum strength level setting • Pattern separation in bars Market State Row • Current analysis: BULLISH, BEARISH, NEUTRAL • Shows analysis price level when active T:R Ratio Row • Current target to risk ratio • GOOD = Meets minimum requirement • LOW = Below minimum threshold Strength Row • BULL or BEAR dominance • Numerical strength value 0-100 Price Row • Current price • Percentage change Last Analysis Row • Previous pattern direction • Bars since last pattern Reading Pattern Signals Bullish Structure Pattern • Upward triangle or "Bullish Structure" label • Star rating shows strength (★★★★★ = strongest) • Green line = potential target level • Red dashed line = invalidation level • Appears below price bars Bearish Structure Pattern • Downward triangle or "Bearish Structure" label • Star rating indicates reliability • Green line = potential target level • Red dashed line = invalidation level • Appears above price bars Pattern Strength Interpretation • ★★★★★ = 6 confirmations (exceptional) • ★★★★☆ = 5 confirmations (strong) • ★★★☆☆ = 4 confirmations (moderate) • ★★☆☆☆ = 3 confirmations (minimum) • Below minimum = filtered out Visual Elements on Chart Lines and Levels: • Gray Line = 21 EMA trend reference • Green Stepline = Dynamic support level • Red Stepline = Dynamic resistance level • Green Solid Line = Active target level • Red Dashed Line = Active invalidation level Pattern Markers: • Triangles = Arrow display mode • Text Labels = Label display mode • Colored Boxes = Zone display mode Target Completion Labels: • "Target" = Price reached target level • "Invalid" = Pattern invalidated by price --- RECOMMENDED USAGE BY TIMEFRAME 1-Minute Charts (Scalping) • Sensitivity: 0.8-1.2 • Noise Reduction: 3-4 • Pattern Separation: 3-5 bars • High Confirmation: Optional • Best for: Quick intraday moves 5-Minute Charts (Precision Intraday) • Sensitivity: 1.0 (default) • Noise Reduction: 4 (default) • Pattern Separation: 8 bars • High Confirmation: Enabled • Best for: Day trading 15-Minute Charts (Short Swing) • Sensitivity: 1.0-1.5 • Noise Reduction: 4-5 • Pattern Separation: 10-12 bars • High Confirmation: Enabled • Best for: Intraday swings 30-Minute to 1-Hour (Position Trading) • Sensitivity: 1.5-2.0 • Noise Reduction: 5-7 • Pattern Separation: 15-20 bars • Regime Period: 75-100 • Best for: Multi-day positions Daily Charts (Swing Trading) • Sensitivity: 1.8-2.0 • Noise Reduction: 6-7 • Pattern Separation: 20 bars • All filters enabled • Best for: Long-term analysis --- MARKET-SPECIFIC SETTINGS Forex Pairs • Minimum Move: 0.05-0.10% • Institutional Threshold: 1.5-2.0 • Volume Surge: 1.8-2.2 • Target Mode: Dynamic or Market Adaptive Stock Indices (ES, NQ, YM) • Minimum Move: 0.10-0.15% • Institutional Threshold: 2.0-2.5 • Volume Surge: 2.5-3.0 • Target Mode: Market Adaptive Individual Stocks • Minimum Move: 0.15-0.25% • Institutional Threshold: 2.0-2.5 • Volume Surge: 2.5-3.5 • Target Mode: Dynamic Cryptocurrency • Minimum Move: 0.20-0.50% • Institutional Threshold: 2.5-3.5 • Volume Surge: 3.0-4.5 • Target Mode: Dynamic • Increase noise reduction --- PRACTICAL APPLICATION EXAMPLES Example 1: Strong Trending Market Dashboard Reading: • Market Regime: TRENDING • Market Score: 75% • Structure: BULLISH, INTACT • Volume Flow: BUYING, STRONG • Momentum: +0.45 Interpretation: • Strong uptrend environment • Institutional buying present • Look for bullish patterns as continuation • Higher probability of success • Consider using lower sensitivity Example 2: Range-Bound Conditions Dashboard Reading: • Market Regime: RANGING • Market Score: 35% • Structure: NEUTRAL • Volume Flow: SELLING, WEAK • Momentum: -0.05 Interpretation: • No clear direction • Low opportunity environment • Patterns are less reliable • Consider waiting for regime change • Or switch to a range-trading approach Example 3: Structure Break Alert Dashboard Reading: • Previous: BULLISH structure • Current: Structure BREAK • Volume: INST flag active • Momentum: Shifting negative Interpretation: • Trend reversal potentially beginning • Institutional participation detected • Watch for bearish pattern confirmation • Adjust bias accordingly • Increase caution on long positions Example 4: Volatile Market Dashboard Reading: • Market Regime: VOLATILE • Market Score: 45% • Adaptive Mode: ACTIVE • Confirmations: Increased to 6 Interpretation: • Choppy conditions • Parameters auto-adjusted • Fewer but higher quality patterns • Wider stops may be needed • Consider reducing position size Below are a few chart examples of the Smart Money Precision Structure (SMPS) indicator in action. • Example 1 – Bullish Structure Detection on SOLUSD 5m • Example 2 – Bearish Structure Detected with Strong Confluence on SOLUSD 5m --- TROUBLESHOOTING GUIDE No Patterns Appearing Check these settings: • High Confirmation Mode may be too restrictive • Minimum Strength Level may be too high • Market Clarity threshold may be too high • Regime filter may be blocking patterns • Try increasing sensitivity Too Many Patterns Adjust these settings: • Enable High Confirmation Mode • Increase Minimum Strength Level to 5 • Increase Pattern Separation • Reduce Sensitivity below 1.0 • Enable all technical filters Dashboard Shows "CAUTION" This indicates: • Market conditions are unfavorable • Regime is RANGING or QUIET • Market score is low • Consider waiting for better conditions • Or adjust expectations accordingly Patterns Not Reaching Targets Consider: • Market may be choppy • Volatility may have changed • Try Dynamic target mode • Reduce target/risk ratio requirement • Check if regime is VOLATILE --- ALERTS CONFIGURATION Alert Message Format Alerts include: • Pattern type (Bullish/Bearish) • Strength rating • Market regime • Analysis price level • Target and invalidation levels • Strength percentage • Target/Risk ratio • Educational disclaimer Setting Up Alerts • Click Alert button on TradingView • Select SMPS indicator • Choose alert frequency • Customize message if desired • Alerts fire on pattern detection --- DATA WINDOW INFORMATION The Data Window displays: • Market Regime Score (0-100) • Market Structure Bias (-1 to +1) • Bullish Strength (0-100) • Bearish Strength (0-100) • Bull Target/Risk Ratio • Bear Target/Risk Ratio • Relative Volume • Momentum Value • Volume Flow Strength • Bull Confirmations Count • Bear Confirmations Count --- BEST PRACTICES AND TIPS For Beginners • Start with default settings • Use High Confirmation Mode • Focus on TRENDING regime only • Paper trade first • Learn one timeframe thoroughly For Intermediate Users • Experiment with sensitivity settings • Try different target modes • Use multiple timeframes • Combine with price action analysis • Track pattern success rate For Advanced Users • Customize per instrument • Create setting templates • Use regime information for bias • Combine with other indicators • Develop systematic rules --- IMPORTANT DISCLAIMERS • This indicator is for educational and informational purposes only • Not financial advice or a trading system • Past performance does not guarantee future results • Trading involves substantial risk of loss • Always use appropriate risk management • Verify patterns with additional analysis • The author is not a registered investment advisor • No liability accepted for trading losses --- VERSION NOTES Version 1.0.0 - Initial Release • Six-layer confluence system • Adaptive parameter technology • Institutional volume detection • Market regime classification • Structure break identification • Real-time dashboard • Multiple display modes • Comprehensive settings ## My Final Thoughts Smart Money Precision Structure represents an advanced approach to market analysis, bringing institutional-grade techniques to retail traders through intelligent automation and multi-dimensional evaluation. By combining six analytical frameworks with adaptive parameter adjustment, SMPS provides comprehensive market intelligence that single indicators cannot achieve. The indicator serves as an educational tool for understanding how professional traders analyze markets, while providing practical pattern detection for those seeking to improve their technical analysis. Remember that all trading involves risk, and this tool should be used as part of a complete analysis approach, not as a standalone trading system. - BullByte
Chỉ báo Pine Script®
bởi BullByte
5
VWAP Price ChannelVWAP Price Channel cuts the crust off of a traditional price channel (Donchian Channel) by anchoring VWAPs at the highs and lows. By doing this, the flat levels, characteristic of traditional Donchian Channels, are no more! Author's Note: This indicator is formed with no inherent use, and serves solely as a thought experiment. > Concept I would be hesitant to call this a "predictive" indicator, however the behavior of it would suggest it could be considered at least partially predictive Essentially, the Anchored VWAPs creates something from otherwise nothing. While the DC upper or lower values are staying flat, the VWAPs improvise based on price and volume to project a level that may be a better representation of where future highs or lows may settle. Visually, this looks like we have cut off the corners of the Donchian Channel. Note: Notice how we are calculating values before the corners are realized. > Implementation While this is only a concept indicator, The specific application I've gone with for this, is a sort of supertrend-ish display (A Trend Flipping Trailing Stop Loss). The script uses basic logic to create a trend direction, and then displays the Anchored VWAPs as a form of trailing stop loss. While "In Trend", the script fills in the area between the VWAP and Price in the direction of trend. When new highs or lows are made while in trend, the opposite VWAP will start to generate at the new highs or lows. These happen on every new high or low, so they are not indicating the trend shift, but could be interpreted as breakout levels for the current trend direction in order for continuation. Note: All values are drawn live, but when using higher timeframes, there is a natural calculation discrepancy when using live data vs. historical. > Technicals In this script, I'm simply detecting new highs or lows from the DC and using those as the anchor frequency on the built-in VWAP function. So each time a new high or low is made based on DC, the VWAP function re-anchors to the high or low of the candle. Past that, I have implemented some logic in order to account for a common occurrence I faced during development. Frequently, the price would outpace the anchored VWAP, so we would end up with the VWAP being further from price than the actual DC upper or lower. Due to this, what I have ended up with was a third value which, rather than switching between raw VWAP values and DC values, it adjusts the value based on the change in the VWAP value. This can be simply thought of as a "Start + Change" type of setup. By doing this, I can use the change values from the actual anchored VWAP, and under normal conditions, this will also be the true VWAP value. However, situationally, I am able to update the start value which we're applying the VWAP change to. In other words, when these situations happen, the VWAP change is added to the new (closer to price) DC value. The specific trend logic being used is nothing fancy at all, we are simply checking if a new high or low is created and setting the trend in that direction. This is in line with some traditional DC Strategies. To those who made it here, Just remember: The chart may be ugly, but it's the fastest analysis of the data you can get. Nicer displays often come at the hidden cost of latency. You have to shoot your shot to make it. Choose 2: Fast, Clean, Useful Enjoy!
Chỉ báo Pine Script®
bởi SamRecio
1
Index Position Size Calculator for [US30 / US100 / SP500]What it does This tool helps you size positions consistently for index trades on US30 (Dow Jones), NAS100 (Nasdaq-100), and SP500 (S&P 500). Enter your account balance, risk %, and your planned Entry / Stop-Loss / Target and the script calculates: • Position Size (rounded to your lot/contract step) • Risk-to-Reward (R/R) • Potential P/L in USD based on your inputs • Visual Entry / SL / TP lines with green/red zones and concise labels Supported contract styles Choose a preset for common products (e.g., CFD $1/pt, YM/NQ/ES futures, MYM/MNQ/MES micros) or override the economics yourself. You remain in control of the two key levers: • $/point — how many dollars you gain/lose per 1 index point per contract/lot • Point size — how many price units equal 1 index point on your chart (often 1.0, but some brokers use 0.1 or 0.5) Inputs • Account Balance ($) and Risk % per trade • Index: US30 / NAS100 / SP500 • Contract: CFD / Futures (YM, NQ, ES) / Micros (MYM, MNQ, MES) • $/point: auto from Contract or manual override • Point size: auto from Index or manual override • Position size step: rounding (e.g., 1 for futures, 0.01 for CFDs) • Entry / SL / TP: typed values (snapped to tick), with on-chart zones and labels • Display toggles for lines and labels How the math works • StopPoints = |Entry − SL| ÷ PointSize • ProfitPoints = |TP − Entry| ÷ PointSize • Position Size = (AccountBalance × Risk%) ÷ (StopPoints × $/point) • R/R = ProfitPoints ÷ StopPoints • Potential P/L = PositionSize × Points × $/point How to use (quick start) 1. Select Index and Contract. 2. Confirm $/point and Point size match your broker’s specs. 3. Enter Entry / SL / TP for the trade idea. 4. Read the Position Size, R/R, and Potential P/L in the info box. 5. Adjust for fees, spreads, and slippage as needed. Notes & limitations • Broker symbols can vary. Always verify $/point and Point size for your instrument before risking capital. • The script does not place orders and does not generate trade signals; it’s a sizing/visualization tool. • Results can differ across brokers due to pricing, spreads, minimum lot sizes, and execution rules. • Use on the intended indices; you’ll see a reminder if you load it elsewhere. Changelog highlights • Pine v6, constant-safe inputs, tick-snapping, global fills (no local-scope errors). • Robust label handling and optional minimal chart markers. Disclaimer This script is provided for educational purposes only and does not constitute financial advice or a recommendation to buy or sell any security or derivative. Trading involves risk, including the possible loss of principal. Always do your own research, verify contract specifications with your broker, and consider testing in a demo environment before trading live.
Chỉ báo Pine Script®
bởi smithyommite
Anchored Grids ft. VolumeINTRO The 'Volume Profile' is a great tool, isn’t it? It shows us where volume has accumulated on the chart and helps guide trading decisions. The only catch is that we can’t really choose the levels—it’s all based on where volume happens to cluster. But what if we reversed the logic and measured the volume at the levels we define? That’s exactly what this script does, giving you a fresh way to spot support and resistance :) OVERVIEW 'Anchored Grids ft. Volume' is a sophisticated technical analysis tool that combines price grid analysis with volume accumulation metrics. This indicator dynamically calculates and displays custom support and resistance levels based on a user-defined timeframe, while simultaneously tracking and visualizing volume accumulation at each specific price level. Unlike traditional volume profile indicators that use complex statistical clustering, this tool provides straightforward volume measurement at predetermined technical levels. It answers a critical question: "How much trading activity occurred near the key price levels I care about?". HOW DOES THIS INDICATOR WORK? This indicator builds a customizable grid system anchored to the opening price of any user-selected timeframe (hourly, daily, weekly, etc.). From that anchor point, it continuously tracks the highest high and lowest low, then calculates equidistant grid levels within that range. Two calculation modes are available—Arithmetic and Geometric—allowing flexibility in how the levels are distributed. Once the grid is established, a volume accumulation engine comes into play. For each price bar, the script checks whether the bar’s range intersects with any level’s tolerance zone (default 0.01%). If a touch is detected, that bar’s volume is added to the corresponding level. Over time, this process builds a clear picture of where significant trading activity has clustered. The visualization system highlights these dynamics by applying a color gradient based on volume intensity and adjusting line thickness proportional to accumulated volume. Each level is also labeled with four key data points: The grid number (in square brackets) The price of the level The percentage distance between the level and the opening price of the selected timeframe The total volume accumulated within the level’s tolerance range PARAMETERS Timeframe: Defines the anchor period for grid calculation. Then, the indicator automatically determines the open, high, and low prices. Mode: This option determines how the distance between levels is calculated: Arithmetic (linear) means equal price spacing between levels, while Geometric (logarithmic) means equal percentage spacing between levels. Grids: It's the number of levels between high and low. Color: Base color for grid lines and labels. When volume data is displayed, lower values are darkened by 50%. Show Volume Accumulation: When this parameter is activated, the volume calculation is enabled. Tolerance : The Tolerance parameter (default range: 0.01%) defines the price range around each grid level where volume accumulation is registered. It acts as a sensitivity control that determines how close price must be to a level to count trading volume toward that level's accumulation. ORIGINALITY It’s possible to find comprehensive grid-drawing tools among community indicators, but I haven’t come across an example that combines this concept with volume data. More importantly, I wanted to demonstrate how volume accumulation can be generated for any data modeled as an array on the chart by developers. SUMMARY In conclusion, the selected timeframe and the number of grids are only used as a reference to determine where the levels are drawn. The true value of this indicator lies in its ability to calculate volume accumulation directly from the chart’s own candles, showing how much trading activity occurred around each level. The result is a hybrid framework that merges structural price analysis with volume distribution, offering traders deeper insights into where markets are likely to react. NOTE While powerful, this tool should be used as part of a comprehensive trading strategy rather than as a standalone system. Always combine with risk management principles and market context awareness. I hope it helps everyone. Trade as safely as possible. Best of luck!
Chỉ báo Pine Script®
bởi dg_factor
SMC - Institutional Confidence Oscillator [PhenLabs]📊 Institutional Confidence Oscillator Version: PineScript™v6 📌 Description The Institutional Confidence Oscillator (ICO) revolutionizes market analysis by automatically detecting and evaluating institutional activity at key support and resistance levels using our own in-house detection system. This sophisticated indicator combines volume analysis, volatility measurements, and mathematical confidence algorithms to provide real-time readings of institutional sentiment and zone strength. Using our advanced thin liquidity detection, the ICO identifies high-volume, narrow-range bars that signal institutional zone formation, then tracks how these zones perform under market pressure. The result is a dual-wave confidence oscillator that shows traders when institutions are actively defending price levels versus when they’re abandoning positions. The indicator transforms complex institutional behavior patterns into clear, actionable confidence percentiles, helping traders align with smart money movements and avoid common retail trading pitfalls. 🚀 Points of Innovation Automated thin liquidity zone detection using volume threshold multipliers and zone size filtering Dual-sided confidence tracking for both support and resistance levels simultaneously Sigmoid function processing for enhanced mathematical accuracy in confidence calculations Real-time institutional defense pattern analysis through complete test cycles Advanced visual smoothing options with multiple algorithmic methods (EMA, SMA, WMA, ALMA) Integrated momentum indicators and gradient visualization for enhanced signal clarity 🔧 Core Components Volume Threshold System: Analyzes volume ratios against baseline averages to identify institutional activity spikes Zone Detection Algorithm: Automatically identifies thin liquidity zones based on customizable volume and size parameters Confidence Lifecycle Engine: Tracks institutional defense patterns through complete observation windows Mathematical Processing Core: Uses sigmoid functions to convert raw market data into normalized confidence percentiles Visual Enhancement Suite: Provides multiple smoothing methods and customizable display options for optimal chart interpretation 🔥 Key Features Auto-Detection Technology: Automatically scans for institutional zones without manual intervention, saving analysis time Dual Confidence Tracking: Simultaneously monitors both support and resistance institutional activity for comprehensive market view Smart Zone Validation: Evaluates zone strength through volume analysis, adverse excursion measurement, and defense success rates Customizable Parameters: Extensive input options for volume thresholds, observation windows, and visual preferences Real-Time Updates: Continuously processes market data to provide current institutional confidence readings Enhanced Visualization: Features gradient fills, momentum indicators, and information panels for clear signal interpretation 🎨 Visualization Dual Oscillator Lines: Support confidence (cyan) and resistance confidence (red) plotted as percentage values 0-100% Gradient Fill Areas: Color-coded regions showing confidence dominance and strength levels Reference Grid Lines: Horizontal markers at 25%, 50%, and 75% levels for easy interpretation Information Panel: Real-time display of current confidence percentiles with color-coded dominance indicators Momentum Indicators: Rate of change visualization for confidence trends Background Highlights: Extreme confidence level alerts when readings exceed 80% 📖 Usage Guidelines Auto-Detection Settings Use Auto-Detection Default: true Description: Enables automatic thin liquidity zone identification based on volume and size criteria Volume Threshold Multiplier Default: 6.0, Range: 1.0+ Description: Controls sensitivity of volume spike detection for zone identification, higher values require more significant volume increases Volume MA Length Default: 15, Range: 1+ Description: Period for volume moving average baseline calculation, affects volume spike sensitivity Max Zone Height % Default: 0.5%, Range: 0.05%+ Description: Filters out wide price bars, keeping only thin liquidity zones as percentage of current price Confidence Logic Settings Test Observation Window Default: 20 bars, Range: 2+ Description: Number of bars to monitor zone tests for confidence calculation, longer windows provide more stable readings Clean Break Threshold Default: 1.5 ATR, Range: 0.1+ Description: ATR multiple required for zone invalidation, higher values make zones more persistent Visual Settings Smoothing Method Default: EMA, Options: SMA/EMA/WMA/ALMA Description: Algorithm for signal smoothing, EMA responds faster while SMA provides more stability Smoothing Length Default: 5, Range: 1-50 Description: Period for smoothing calculation, higher values create smoother lines with more lag ✅ Best Use Cases Trending market analysis where institutional zones provide reliable support/resistance levels Breakout confirmation by validating zone strength before position entry Divergence analysis when confidence shifts between support and resistance levels Risk management through identification of high-confidence institutional backing Market structure analysis for understanding institutional sentiment changes ⚠️ Limitations Performs best in liquid markets with clear institutional participation May produce false signals during low-volume or holiday trading periods Requires sufficient price history for accurate confidence calculations Confidence readings can fluctuate rapidly during high-impact news events Manual fallback zones may not reflect actual institutional activity 💡 What Makes This Unique Automated Detection: First Pine Script indicator to automatically identify thin liquidity zones using sophisticated volume analysis Dual-Sided Analysis: Simultaneously tracks institutional confidence for both support and resistance levels Mathematical Precision: Uses sigmoid functions for enhanced accuracy in confidence percentage calculations Real-Time Processing: Continuously evaluates institutional defense patterns as market conditions change Visual Innovation: Advanced smoothing options and gradient visualization for superior chart clarity 🔬 How It Works 1. Zone Identification Process: Scans for high-volume bars that exceed the volume threshold multiplier Filters bars by maximum zone height percentage to identify thin liquidity conditions Stores qualified zones with proximity threshold filtering for relevance 2. Confidence Calculation Process: Monitors price interaction with identified zones during observation windows Measures volume ratios and adverse excursions during zone tests Applies sigmoid function processing to normalize raw data into confidence percentiles 3. Real-Time Analysis Process: Continuously updates confidence readings as new market data becomes available Tracks institutional defense success rates and zone validation patterns Provides visual and numerical feedback through the oscillator display 💡 Note: The ICO works best when combined with traditional technical analysis and proper risk management. Higher confidence readings indicate stronger institutional backing but should be confirmed with price action and volume analysis. Consider using multiple timeframes for comprehensive market structure understanding.
Chỉ báo Pine Script®
bởi PhenLabs
VWMA MACD Trend Grinder Buy/Sell SignalsDescription: This indicator combines a VWMA-based MACD with volume and trend filters to reduce false buy and sell signals. It is designed to give more reliable entry and exit points in trending markets while avoiding low-volume noise. Features: 1. VWMA MACD: - MACD is calculated using Volume-Weighted Moving Averages (VWMA) instead of standard EMAs. - Histogram shows the difference between MACD and its signal line. 2. Volume Filter: - Signals are only triggered when current volume exceeds a multiple of its moving average. - Reduces false signals in low-volume periods. 3. Trend Filter: - Only triggers buy signals when price is above a long-term VWMA (uptrend). - Only triggers sell signals when price is below the long-term VWMA (downtrend). - Helps avoid counter-trend trades. 4. Plots: - MACD (blue), Signal (orange), Histogram (green/red) - Trend VWMA (purple) - Buy and Sell arrows in the indicator pane (green/red) 5. Alerts: - Configurable alerts for buy and sell signals filtered by volume and trend. Inputs: - Fast Length: VWMA period for the fast MACD line (default 12) - Slow Length: VWMA period for the slow MACD line (default 26) - Signal Length: EMA period for the MACD signal line (default 9) - Volume MA Length: Length for volume moving average filter (default 20) - Volume Threshold Multiplier: Multiplier for volume filter (default 1.2) - Trend VWMA Length: Period for long-term trend VWMA (default 50) - Price Source: Close, HL2, HLC3, OHLC4 Usage: - Use as a confirmation tool along with other analysis techniques. - Buy when the green triangle appears (MACD crossover, above trend VWMA, sufficient volume). - Sell when the red triangle appears (MACD crossunder, below trend VWMA, sufficient volume). - Trend VWMA helps visually confirm the market trend.
Chỉ báo Pine Script®
bởi kmarin137
Institutional Session VWAP Bands (Zeiierman)█ Overview Institutional Session VWAP Bands (Zeiierman) plots a clean, session-aware VWAP that restarts at the “True Close” (end of the first trading hour) for each session you enable (Sydney, Tokyo, London, New York). From that anchor, the script computes a classic volume-weighted average price plus optional standard-deviation bands to frame session fair value and dispersion. By aligning VWAP to when institutional flows settle (the first hour), you get a reference that matches real execution behavior, yielding more credible pullbacks, retests, and mean-reversion reads inside each session. █ How It Works ⚪ Session Detection You choose the sessions (on/off), their UTC-aligned time windows, and colors. The script detects when each session is active on your chart timeframe. ⚪ True-Close Anchoring At session open the indicator waits. When the first hour completes, it flips the anchor on and starts a fresh VWAP for that session, mirroring how many desks treat the first hour as the real close for the prior day’s positioning. ⚪ VWAP Core From the true-close anchor, VWAP is calculated in the standard way: cumulative (price × volume) / cumulative volume using your chosen price source (default hlc3). ⚪ VWAP Bands (σ) Upper/Lower bands are built using a running standard deviation of the price source since the anchor. You control the σ multiplier and line width, and you can optionally fill between the bands. █ Why Sessions + True-Close Anchoring ⚪ Institutional Timing Matters A new anchor at the first-hour close reflects where real flows have settled, giving you a session fair-value line that aligns with how many funds evaluate prices intraday. ⚪ Cleaner Session Reads Because VWAP and σ-bands restart each session, your retests, squeezes, and mean-reversion signals are based on today’s order-flow context, not yesterday’s inertia. Result: a session-true fair-value with dispersion bands that stay close to the action, improving the quality of pullback entries and risk framing. █ How to Use ⚪ Session Fair-Value Guide Treat VWAP as the magnet for intraday value. Impulsive moves away from VWAP that fold back often present retest opportunities. ⚪ σ-Band Reversion & Breaks Reversion: Tests beyond the upper/lower band that snap back inside can flag exhaustion. Trend: Price riding the VWAP band in a strong trend ⚪ Session Handoffs When one session hands to the next, watch how price behaves around the new session’s VWAP Bands after its anchor triggers. Continuation through the new VWAP vs. rejection often sets the tone. █ Settings UTC: Choose the timezone used to evaluate session windows (e.g., UTC+2). Sessions (Sydney, Tokyo, London, New York): Toggle visibility and define each HHMM-HHMM window. VWAP Price: Source for weighting. Band Multiplier (σ): Standard deviation multiplier. █ Related publications True Close – Institutional Trading Sessions (Zeiierman) ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Chỉ báo Pine Script®
bởi Zeiierman
13
VWMA MACD Amanita Buy/Sell Signals VWMA MACD Amanita Buy/Sell Signals – Volume-Weighted Momentum Indicator A twist on the classic MACD: this indicator uses Volume Weighted Moving Averages (VWMA) instead of EMAs, giving more weight to price moves backed by higher volume. Features: VWMA-based MACD line & signal line Histogram highlights bullish/bearish momentum Color-coded for easy visualization Quick Guide: MACD above Signal → bullish MACD below Signal → bearish Rising histogram → strengthening trend Falling histogram → weakening trend Perfect for traders who want momentum confirmed by volume.
Chỉ báo Pine Script®
bởi kmarin137
VWMA MACD AmanitaVWMA MACD (Volume-Weighted MACD) This indicator modifies the standard MACD by replacing EMAs with VWMAs (Volume-Weighted Moving Averages). - Fast VWMA (default 12 bars) - Slow VWMA (default 26 bars) - MACD Line = Fast VWMA - Slow VWMA - Signal Line = EMA of MACD (default 9 bars) - Histogram = MACD - Signal Compared to the standard MACD, this version emphasizes price moves that are backed by higher trading volume, helping to filter out weak signals. The script also lets you choose the price source (Close, HL2, HLC3, OHLC4).
Chỉ báo Pine Script®
bởi kmarin137
1
OHLC Horizontal Compact + Volume + Buy/SellA compact, single-row horizontal table for TradingView displaying Open, High, Low, Close (OHLC), net change, percentage change, volume, and buy/sell pressure percentages. The table is fully color-coded for easy interpretation: green for positive values, red for negative, and yellow for neutral. Table position is fully customizable (top, middle, bottom / left, center, right). Ideal for traders who want a concise, real-time snapshot of price action and market sentiment in a single row. Features: OHLC values in one horizontal row Net change (Δ) and % change with directional arrows Real-time volume display Buy/Sell pressure % with dynamic coloring Fully customizable table placement Works on all timeframes
Chỉ báo Pine Script®
bởi Roger_Kint
Volumetric Support and Resistance [BackQuant]Volumetric Support and Resistance What this is This Overlay locates price levels where both structure and participation have been meaningful. It combines classical swing points with a volume filter, then manages those levels on the chart as price evolves. Each level carries: • A reference price (support or resistance) • An estimate of the volume that traded around that price • A touch counter that updates when price retests it • A visual box whose thickness is scaled by volatility The result is a concise map of candidate support and resistance that is informed by both price location and how much trading occurred there. How levels are built Find structural pivots uses ta.pivothigh and ta.pivotlow with a user set sensitivity. Larger sensitivity looks for broader swings. Smaller sensitivity captures tighter turns. Require meaningful volume computes an average volume over a lookback period and forms a volume ratio for the current bar. A pivot only becomes a level when the ratio is at least the volume significance multiplier. Avoid clustering checks a minimum level distance (as a percent of price). If a candidate is too close to an existing level, it is skipped to keep the map readable. Attach a volume strength to the level estimates volume strength by averaging the volume of recent bars whose high to low range spans that price. Levels with unusually high strength are flagged as high volume. Store and draw levels are kept in an array with fields for price, type, volume, touches, creation bar, and a box handle. On the last bar, each level is drawn as a horizontal box centered at the price with a vertical thickness scaled by ATR. Borders are thicker when the level is marked high volume. Boxes can extend into the future. How levels evolve over time • Aging and pruning : levels are removed if they are too old relative to the lookback or if you exceed the maximum active levels. • Break detection : a level can be removed when price closes through it by more than a break threshold set as a fraction of ATR. Toggle with Remove Broken Levels. • Touches : when price approaches within the break threshold, the level’s touch counter increments. Visual encoding • Boxes : support boxes are green, resistance boxes are red. Box height uses an ATR based thickness so tolerance scales with volatility. Transparency is fixed in this version. Borders are thicker on high volume levels. • Volume annotation : show the estimated volume inside the box or as a label at the right. If a level has more than one touch, a suffix like “(2x)” is appended. • Extension : boxes can extend a fixed number of bars into the future and can be set to extend right. • High volume bar tint : bars with volume above average × multiplier are tinted green if up and red if down. Inputs at a glance Core Settings • Level Detection Sensitivity — pivot window for swing detection • Volume Significance Multiplier — minimum volume ratio to accept a pivot • Lookback Period — window for average volume and maintenance rules Level Management • Maximum Active Levels — cap on concurrently drawn levels • Minimum Level Distance (%) — required spacing between level prices Visual Settings • Remove Broken Levels — drop a level once price closes decisively through it • Show Volume Information on Levels — annotate volume and touches • Extend Levels to Right — carry boxes forward Enhanced Visual Settings • Show Volume Text Inside Box — text placement option • Volume Based Transparency and Volume Based Border Thickness — helper logic provided; current draw block fixes transparency and increases border width on high volume levels Colors • Separate colors for support, resistance, and their high volume variants How it can be used • Trade planning : use the most recent support and resistance as reference zones for entries, profit taking, or stop placement. ATR scaled thickness provides a practical buffer. • Context for patterns : combine with breakouts, pullbacks, or candle patterns. A breakout through a high volume resistance carries more informational weight than one through a thin level. • Prioritization : when multiple levels are nearby, prefer high volume or higher touch counts. • Regime adaptation : widen sensitivity and increase minimum distance in fast regimes to avoid clutter. Tighten them in calm regimes to capture more granularity. Why volume support and resistance is used in trading Support and resistance relate to willingness to transact at certain prices. Volume measures participation. When many contracts change hands near a price: • More market players hold inventory there, often creating responsive behavior on retests • Order flow can concentrate again to defend or to exit • Breaks can be cleaner as trapped inventory rebalances Conditioning level detection on above average activity focuses attention on prices that mattered to more participants. Alerts • New Support Level Created • New Resistance Level Created • Level Touch Alert • Level Break Alert Strengths • Dual filter of structure and participation, reducing trivial swing points • Self cleaning map that retires old or invalid levels • Volatility aware presentation using ATR based thickness • Touch counting for persistence assessment • Tunable inputs for instrument and timeframe Limitations and caveats • Volume strength is an approximation based on bars spanning the price, not true per price volume • Pivots confirm after the sensitivity window completes, so new levels appear with a delay • Narrow ranges can still cluster levels unless minimum distance is increased • Large gaps may jump past levels and immediately trigger break conditions Practical tuning guide • If the chart is crowded: increase sensitivity, increase minimum level distance, or reduce maximum active levels • If useful levels are missed: reduce volume multiplier or sensitivity • If you want stricter break removal: increase the ATR based break threshold in code • For instruments with session patterns: tailor the lookback period to a representative window Interpreting touches and breaks • First touch after creation is a validation test • Multiple shallow touches suggest absorption; a later break may then travel farther • Breaks on high current volume merit extra attention Multi timeframe usage Levels are computed on the active chart timeframe. A common workflow is to keep a higher timeframe instance for structure and a lower timeframe instance for execution. Align trades with higher timeframe levels where possible. Final Thoughts This indicator builds a lightweight, self updating map of support and resistance grounded in swings and participation. It is not a full market profile, but it captures much of the practical benefit with modest complexity. Treat levels as context and decision zones, not guarantees. Combine with your entry logic and risk controls.
Chỉ báo Pine Script®
bởi BackQuant
VPOC Harmonics - Liquidity-Weighted Price / Time RatiosVPOC Harmonics - Liquidity-Weighted Price / Time Ratios Summary This indicator transforms a swing’s price range, duration, and liquidity profile into a structured set of price-per-bar ratios. By anchoring two points and manually entering the swing’s VPOC (highest-volume price), it generates candidate compression values that unify price, time, and liquidity structure. These values can be applied to chart scaling, harmonic testing, and liquidity-aware market geometry. ________________________________________ Overview Most swing analysis tools only consider price (ΔP) and time (N bars). This script goes further by incorporating the VPOC (Point of Control) — the price with the highest traded volume — directly into swing geometry. • Anchors define the swing’s Low (L), High (H), and bar count (N). • The user manually enters the VPOC (highest-volume price). • The indicator then computes a suite of ratios that integrate range, duration, and liquidity placement. The output is a table of liquidity-weighted price-per-bar candidates, designed for compression testing and harmonic analysis across swings and instruments. ________________________________________ How to Use 1. Select a Swing - Place Anchor A and Anchor B to define the swing’s Low, High, and bar count. 2. Find the VPOC - Apply TradingView’s Fixed Range Volume Profile tool over the same swing. - Identify the Point of Control (POC) — the price level with the highest traded volume. 3. Enter the VPOC - Manually input the POC into the indicator settings. 4. Review Outputs - The table will display candidate ratios expressed mainly as price-per-bar values. 5. Apply in Practice - Use the ratios as chart compression inputs or as benchmarks for testing harmonic alignments across swings. ________________________________________ Outputs Swing & Inputs • Bars (N): total bar count of the swing. • Low (L): swing low price. • High (H): swing high price. • ΔP = H − L: price range. • Mid = (L + H) ÷ 2: midpoint price. • VPOC (V): user-entered highest-volume price. • Base slope s0 = ΔP ÷ N: average change per bar. • π-adjusted slope sπ = (π × ΔP) ÷ (2 × N): slope adjusted for half-cycle arc geometry. ________________________________________ VPOC Harmony Ratios (L, H, V, N) • λ = (V − L) ÷ ΔP: normalized VPOC position within the range. • R = (V − L) ÷ (H − V): symmetry ratio comparing lower vs. upper segment. • s1 = (V − L) ÷ N: slope from Low → VPOC. • s2 = (H − V) ÷ N: slope from VPOC → High. ________________________________________ Blended Means (s1, s2) These combine the two segment slopes in different ways: • HM(s1,s2) = 2 ÷ (1/s1 + 1/s2): Harmonic mean, emphasizes the smaller slope. • GM(s1,s2) = sqrt(s1 × s2): Geometric mean, balances both slopes proportionally. • RMS(s1,s2) = sqrt((s1² + s2²) ÷ 2): Root-mean-square, emphasizes the larger slope. • L2 = sqrt(s1² + s2²): Euclidean norm, the vector length of both slopes combined. ________________________________________ Slope Blends • Quadratic weighting: s_quad = s0 × ((V−L)² + (H−V)²) ÷ (ΔP²) • Tilted slope: s_tilt = s0 × (0.5 + λ) • Entropy-scaled slope: s_ent = s0 × H2(λ), with H2(λ) = − ________________________________________ Curvature & Liquidity Extensions • π-arc × λ: s_arc = sπ × λ • Liquidity-π: s_piV = sπ × (V ÷ Mid) ________________________________________ Scale-Normalized Families With k = sqrt(H ÷ L): • k (scale factor) = sqrt(H ÷ L) • s_comp = s0 ÷ k: compressed slope candidate • s_exp = s0 × k: expanded slope candidate • Exponentiated blends: - s_kλ = s0 × k^(2λ−1) - s_φλ = s0 × φ^(2λ−1), with φ = golden ratio ≈ 1.618 - s_√2λ = s0 × (√2)^(2λ−1) ________________________________________ Practical Application All formulas generate liquidity-weighted price-per-bar ratios that integrate range, time, and VPOC placement. These values are designed for: • Chart compression settings • Testing harmonic alignments across swings • Liquidity-aware scaling experiments ________________________________________
Chỉ báo Pine Script®
bởi geneclash
Frozen 4H VWAP – Precision AnchoredFrozen 4H VWAP – Precision Anchored Like Ice The Frozen 4H VWAP – Precision Anchored delivers a clean, stable, and reliable view of the 4-hour Volume Weighted Average Price, designed for traders who want higher timeframe insights without intrabar noise or repainting. 🔹 Key Features: Non-Repainting: VWAP value is “frozen” at the close of each 4H candle — no mid-bar updates or flickering. 4H Timeframe Anchoring: Seamlessly pulls 4-hour VWAP values into any timeframe you’re trading on. Clear Trend Reference: Updates only when a new 4H candle begins, acting as a trustworthy anchor for support/resistance. Custom Source Option: Choose from different price sources (default: HLC3) to fit your strategy. Whether you're scalping, day trading, or swing trading, this indicator gives you a powerful edge by grounding your decisions in higher timeframe VWAP data — clear, calm, and frozen in time.
Chỉ báo Pine Script®
bởi Equanimity_raven
Previous High/Low Range (D,W,M,Q)Previous High/Low Range (D, W, M, Q) This indicator displays the previous period’s high, low, and midpoint levels across multiple timeframes: Daily, Weekly, Monthly, and Quarterly. It extends these key price levels into the future, allowing traders to quickly identify important support and resistance zones based on historical price action. Features: Shows previous Daily, Weekly, Monthly, and Quarterly highs, lows, and midpoints. Optionally extends these levels forward for easy visualization. Configurable colors and visibility for each timeframe. Includes optional midpoint lines at 50% between high and low to identify equilibrium points. Supports logarithmic scale calculations for midpoints to maintain accuracy on log charts. Optional labels that display exact price values for each level. Designed to help traders recognize key levels for entries, exits, and risk management. Use this indicator to gain a multi-timeframe perspective on significant price ranges and anticipate potential reversal or breakout zones.
Chỉ báo Pine Script®
bởi celynuik
Svl - Trading SystemPrice can tell lies but volume cannot, so keeping this in mind I have created this indicator in which you see sell order block and buy order block on the basis of price action + volume through which we execute our trade First of all, let us know its core concepts and logic, which will help you in taking the right decisions in it. core concept of the " Svl - Trading System " TradingView indicator is based on professional price action, volume, and swing structure. This indicator smartly gives real-time insights of important price turning points, reversal zones, and trend continuation. Its deep explanation is given below. Edit - default swing length -5 , change according your nature , tested With 7 For 5 minute timeframe Core Concept: 1. Swing Structure Detection The indicator automatically detects swing highs (HH/LH) and swing lows (HL/LL) on the chart. HH: Higher High HL: Higher Low LH: Lower High LL: Lower Low These swings are the backbone of price action – signaling a change in trend, a bounce, reversal or trend continuation. 2. Order Block (OB) Mapping Buy Order Block (Buy OB): When the indicator detects the HL/LL swing, we declare Buy OB, the lowest point of the swing. Sell ​​Order Block (Sell OB): On HH/LH swing, the highest point of our swing is called Sell OB. Order Blocks are those important zones of price where historically price has reacted strongly – where major clusters of buyers/sellers are located in the market. 3. Volume Analysis (Optional Dashboard/Barcolor) The candle color depends on the volume ranking on the chart (most high/low, normal, pressure blue shade). Highest/lowest volume candles are a special highlight, which helps to spot liquidity spikes, exhaustion, or big orders. 4. Live Dashboard There is an automated dashboard in the top-right of the chart, which shows this in real-time: Last swing type (HH/HL/LH/LL) Reversal price (last swing level) Swing direction (Bull/Bear/Neutral) Volume, Buy OB, Sell OB, etc. This helps the trader understand the market situation at a glance. 5. Smart Plotting/Labels Buy/Sell are plotted as distinct lines on the OB chart. The Labels option gives clear visual swing points. All calculations are fast and automated – the user does not need to mark manually. This indicator is an advanced, fully-automated price action tool that combines trend, reversal, volume, liquidity and zone detection in one smart system, makes entry/exit decisions objective and error-free, and provides complete trading confidence with a live monitor/dashboard. All of its functions/properties such as: swing detect, OB plot, volume color, dashboard follow best practice for professional chart analysis!
Chỉ báo Pine Script®
bởi cnagda3
Script_Algo - ORB Strategy with Filters🔍 Core Concept: This strategy combines three powerful technical analysis tools: Range Breakout, the SuperTrend indicator, and a volume filter. Additionally, it features precise customization of the number of candles used to construct the breakout range, enabling optimized performance for specific assets. 🎯 How It Works: The strategy defines a trading range at the beginning of the trading session based on a selected number of candles. It waits for a breakout above the upper or below the lower boundary of this range, requiring a candle close. It filters signals using the SuperTrend indicator for trend confirmation. It utilizes trading volume to filter out false breakouts. ⚡ Strategy Features 📈 Entry Points: Long: Candle close above the upper range boundary + SuperTrend confirmation Short: Candle close below the lower range boundary + SuperTrend confirmation 🛡️ Risk Management: Stop-Loss: Set at the opposite range boundary. Take-Profit: Calculated based on a risk/reward ratio (3:1 by default). Position Size: 10 contracts (configurable). ⚠️ IMPORTANT SETTINGS 🕐 Time Parameters: Set the correct time and time zone! ❕ATTENTION: The strategy works ONLY with correct time settings! Set the time corresponding to your location and trading session. 📊 This strategy is optimized for trading TESLA stock! Parameters are tailored to TESLA's volatility, and trading volumes are adequate for signal filtering. Trading time corresponds to the American session. 📈 If you look at the backtesting results, you can see that the strategy could potentially have generated about 70 percent profit on Tesla stock over six months on 5m timeframe. However, this does not guarantee that results will be repeated in the future; remain vigilant. ⚠️ For other assets, the following is required: Testing and parameter optimization Adjustment of time intervals and the number of candles forming the range Calibration of stop-loss and take-profit levels ⚠️ Limitations and Drawbacks 🔗 Automation Constraints: ❌ Cannot be directly connected via Webhook to CFD brokers! Additional IT solutions are required for automation, thus only manual trading based on signals is possible. 📉 Risk Management: Do not risk more than 2-3% of your account per trade. Test on historical data before live use. Start with a demo account. 💪 Strategy Advantages ✅ Combined approach – multiple signal filters ✅ Clear entry and exit rules ✅ Visual signals on the chart ✅ Volume-based false breakout filtering ✅ Automatic position management 🎯 Usage Recommendations Always test the strategy on historical data. Start with small trading volumes. Ensure time settings are correct. Adapt parameters to current market volatility. Use only for stocks – futures and Forex require adaptation. 📚 Suitable Timeframes - M1-M15 Only highly liquid stocks 🍀 I wish all subscribers good luck in trading and steady profits! 📈 May your charts move in the right direction! ⚠️ Remember: Trading involves risk. Do not invest money you cannot afford to lose!
Chiến lược Pine Script®
bởi Script_Algo
Parabolic CCI Pro — Long & Short + ATR Risk — [AlphaFinansData]English Description (Enhanced) 🔹 CCI + Parabolic SAR Strategy (Long & Short, Smart Risk Management) This indicator combines the power of CCI (Commodity Channel Index) and Parabolic SAR, creating a highly reliable trading system that adapts to market conditions. 🚀 How It Works: Trend Hunting: CCI detects weakening momentum and potential reversal zones. Confirmation: Parabolic SAR confirms the trend direction, reducing false signals. Smart Risk Management: Offers both fixed-percentage and ATR-based dynamic Stop Loss & Take Profit, adjusting to volatility automatically. Performance Dashboard: Tracks win rate, average profit/loss, max drawdown, and winning/losing streaks for deeper strategy insights. ⚡ Who Is It For? Day traders looking for quick entries and exits, Swing traders seeking to capture trend reversals, Risk-conscious investors who want disciplined SL/TP management. 💡 More than just a signal generator, this indicator provides traders with a structured trading framework that helps maintain consistency and discipline.
Chỉ báo Pine Script®
bởi trade-can
9
Trend Continuation Filter - 🚀 Trend Continuation Filter — Multi-Factor Overlay This overlay plots bullish / bearish continuation labels & arrows only when the market has enough confluence behind the move. Think of it as your “trend gatekeeper” — cutting out weak setups and highlighting only those with real momentum + structure. 🔍 Built-in Filters ✔ Ichimoku Cloud → trend bias + Tenkan/Kijun confirmation ✔ MACD (12/26/9) → acceleration via histogram slope ✔ RSI / MFI (14) → momentum quality (≥60 bullish / ≤40 bearish) ✔ ADX (14) → strength check (≥20 and rising) ➕ EMA Alignment (9/21/55/233) (optional) ➕ ATR Slope (14) (optional) 🎯 How it works ✅ Prints a Bull Continuation label/arrow when ≥4 filters align to the upside ✅ Prints a Bear Continuation label/arrow when ≥4 filters align to the downside ⚙️ minChecks input lets you adjust the strictness: • Normal Days → set to 4 (more frequent, flexible) • Trend Days → raise to 5–6 (fewer, high-conviction setups) 📈 Best Practices ⏰ Focus on London & New York sessions for clean expectancy 🧩 Pair with a HUD/Dashboard panel to see exactly which filters are active
Chỉ báo Pine Script®
bởi Tradebeast911
Custom Volume + Buyer & Price %Title: Custom Volume + Buyer & Price % Description: This indicator helps you see who is controlling the market — buyers or sellers — using volume and price action. It works even if your chart is on a small timeframe (like 5-min or 15-min), by showing Daily, Weekly, and Monthly information from the higher timeframe volume charts. Key Features & How It Works: Buyer % (B%): Measures where the closing price is within the high-low range of a candle. Calculation: \text{Buyer %} = \frac{\text{Close} - \text{Low}}{\text{High} - \text{Low}} \times 100 Interpretation: > 50% → Buyers are stronger < 50% → Sellers are stronger 50% → Balanced Volume Coloring: Volume bars are colored based on Buyer %, not price movement: Green → Buyers dominate Red → Sellers dominate Yellow → Balanced day Higher Timeframe Insight: Displays Daily, Weekly, and Monthly volume & Buyer % even if your chart is on a smaller timeframe. Lets you understand long-term buying or selling pressure while trading intraday. 21-Day Average: Shows average Buyer % and average volume over the past 21 days for trend context. Why It’s Useful: Quickly visualize whether the market is buyer-driven or seller-driven. Identify strong accumulation or distribution days. Works on any chart timeframe while giving higher timeframe perspective. Ideal for traders who want easy, visual insight into market sentiment.
Chỉ báo Pine Script®
bởi venkat_27
Trend Display Table (with Change Alerts)📌 Indicator: Trend Display Table (with Change Alerts) This indicator helps identify trend direction based on a 15-minute 20 SMA compared against a 10 EMA applied to that SMA. Trend Logic: Bullish → 20 SMA crosses above 10 EMA (on SMA values) Bearish → 20 SMA crosses below 10 EMA (on SMA values) Neutral → No crossover (trend continues from previous state) Display: A compact trend table appears on the chart (top-right), showing the current trend with customizable colors, font size, and background. Alerts: Alerts are triggered only when the trend changes (from Bullish → Bearish or Bearish → Bullish). This prevents repeated alerts on every bar. ✅ Useful for: Confirming higher timeframe trend bias Filtering trades in choppy markets Getting notified instantly when the trend flips
Chỉ báo Pine Script®
bởi rishabh22rathi