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Dollar Normalized Volume v2The author of the idea is LastBattle . An indicator that multiplies the closing price by the current volume. This will show the relative interest in the underlying asset regardless of price changes over time. In the case when the price dropped from $ 16 to $ 1, the trading volume increased 16 times, taking into account the fact that now 16 times more shares can be purchased for the same amount in dollars. It differs from the original version in that the numbers do not expand the scale of the indicator values, they are now displayed in abbreviated form.
אינדיקטור Pine Script®
מאת ‎BaqumP‎
Scalp Precision Matrix [BullByte]SCALP PRECISION MATRIX (SPM) OVERVIEW Scalp Precision Matrix (SPM) is a comprehensive decision-support framework designed specifically for scalpers and short-term traders. This indicator synthesizes five distinct analytical layers into a unified system that helps identify high-quality setups while avoiding common pitfalls that trap traders. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ THE CORE PROBLEM THIS INDICATOR ADDRESSES Scalping demands rapid decision-making while simultaneously processing multiple data points. Traders constantly ask themselves: Is momentum still alive? Am I entering near a potential reversal zone? Is this the right session to trade? What is my actual risk-to-reward? Most traders either overwhelm themselves with too many separate indicators (creating analysis paralysis) or use too few (missing crucial context). SPM was developed to consolidate these essential checks into one cohesive framework. Rather than overlaying disconnected indicators, each component in SPM directly informs and adjusts the others, creating an integrated analytical system. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ WHY THESE SPECIFIC COMPONENTS AND HOW THEY WORK TOGETHER The five analytical layers in SPM are not arbitrarily combined. Each addresses a specific question in the scalping decision process, and together they form a logical workflow: LAYER 1: MOMENTUM FUEL GAUGE This answers the question: "Does the current move still have energy?" After any impulse move (a significant directional price movement), momentum naturally decays over time. The Fuel Gauge estimates remaining momentum by analyzing four factors: Body Strength (30% weight): Compares recent candle body sizes against the historical average. Strong momentum produces candles with large bodies relative to their wicks. The calculation takes the 3-bar average body size divided by the 20-bar average body size, then scales it to a 0-100 range. Wick Rejection (25% weight): Measures the wick-to-body ratio. When wicks are large relative to bodies, it suggests rejection and weakening momentum. A ratio of 2.0 or higher (wicks twice the body size) scores low; smaller ratios score higher. Volume Consistency (20% weight): Compares recent 3-bar average volume against the lookback period average. Sustained moves require consistent volume support. Volume dropping off suggests the move may be losing participation. Time Decay (25% weight): Tracks how many bars have passed since the last detected impulse. Momentum naturally fades over time. The typical impulse duration is adjusted based on the current volatility regime. These components are weighted and combined, then smoothed with a 3-period EMA to reduce noise. The result is a 0-100% gauge where: - Above 70% = Strong momentum (green) - 40-70% = Moderate momentum (amber) - Below 40% = Weak momentum (red) - Below 20% = Exhausted (triggers EXIT warning) The Fuel Gauge also estimates how many bars of momentum remain based on the current burn rate. IMPORTANT DISCLAIMER : The Fuel Gauge is NOT order flow, volume profile, or depth of market data. It is a technical proxy calculated entirely from standard OHLCV (Open, High, Low, Close, Volume) data. The term "Fuel" is used metaphorically to represent estimated remaining momentum energy. LAYER 2: TRAP ZONE DETECTION This answers the question: "Am I walking into a potential reversal area?" Price tends to reverse at levels where it has reversed before. SPM identifies these zones by detecting clusters of historical swing points: How it works: 1. The indicator detects swing highs and swing lows using the Swing Detection Length setting (default 5 bars on each side required to confirm a pivot). 2. Recent swing points are stored (up to 10 of each type). 3. For each potential zone, the algorithm counts how many swing points cluster within a tolerance of 0.5 ATR. 4. Zones with 2 or more clustered swing points, positioned between 0.3 and 4.0 ATR from current price, are marked as Trap Zones. 5. A Confluence Score is calculated based on cluster density and proximity to current price. The percentage displayed (e.g., "TRAP 85%") is a CONFLUENCE SCORE, not a probability. Higher percentages mean more swing points cluster at that level and price is closer to it. This indicates stronger historical significance, not a prediction of future reversal. CRITICAL DISCLAIMER : Trap Zones are NOT institutional order flow, liquidity pools, smart money footprints, or any proprietary data feed. They are calculated purely from historical swing point clustering using standard technical analysis. The term "trap" describes how price action has historically reversed at these levels, potentially trapping traders who enter prematurely. This is pattern recognition, not market structure data. LAYER 3: VELOCITY ANALYSIS This answers the question: "Is price moving favorably right now?" Velocity measures how fast price is currently moving compared to its recent average: Calculation: - Current velocity = Absolute price change from previous bar divided by ATR - Average velocity = Simple moving average of velocity over the lookback period - Velocity ratio = Current velocity divided by average velocity Classification: - FAST (ratio above 1.5 ): Price is moving significantly faster than normal. Good for momentum continuation plays. - NORMAL (ratio 0.5 to 1.5) : Typical price movement speed. - SLOW (ratio below 0.5 ): Price is moving sluggishly. Often indicates ranging or choppy conditions where scalping becomes difficult. The velocity score contributes 18% to the overall quality score calculation. LAYER 4: SESSION AWARENESS This answers the question: "Is this a good time to trade?" Different trading sessions have different characteristics. SPM automatically detects which major session is active and adjusts its quality assessment: Session Times (all in UTC): - A sia Session : 00:00 - 08:00 UTC - London Session : 08:00 - 16:00 UTC - New York Session : 13:00 - 21:00 UTC - London/NY Overlap : 13:00 - 16:00 UTC - Off-Peak : Outside major sessions Session Quality Weighting: - Overlap : 100 points (highest liquidity, best movement) - London : 85 points - New York : 80 points - Asia : 50 points (tends to range more) - Off-Peak : 30 points (lower liquidity, more false signals) The session score contributes 17% to the overall quality calculation. Signals are also filtered to prevent firing during off-peak hours. Note : These are fixed UTC times and may not perfectly match your broker's session boundaries. Use them as general guidance rather than precise timing. LAYER 5: VOLATILITY REGIME ADAPTATION This answers the question: "How should I adjust for current market conditions?" SPM compares current volatility (14-period ATR) against historical volatility (50-period ATR) to categorize the market: HIGH Volatility (ratio above 1.3): Current ATR is 30%+ above normal. SPM widens thresholds to filter noise and extends target projections. NORMAL Volatility (ratio 0.7 to 1.3): Typical conditions. Standard parameters apply. LOW Volatility (ratio below 0.7): Current ATR is 30%+ below normal. SPM tightens thresholds for sensitivity and reduces target expectations. The market state may show AVOID during prolonged low volatility. This adaptation prevents false signals during erratic markets and missed signals during quiet markets. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ THE SYNERGY: WHY THIS COMBINATION MATTERS These five layers are not independent indicators placed on one chart. They form an interconnected system: - A signal only fires when momentum exists (Fuel above 40%), price is away from danger zones (Trap Zones factored into quality score), movement is favorable (Velocity contributes to score), timing is appropriate (Session is not off-peak), and volatility is accounted for (thresholds adapt to regime). - The Trap Zones directly influence Entry Zone placement. Entry zones are positioned beyond trap zones to avoid getting caught in reversals. - Target projections automatically adjust to avoid placing take-profit levels inside detected trap zones. - The Fuel Gauge affects which signal tier fires. Insufficient fuel prevents all signals. - Session quality is weighted into the overall score, reducing signal quality during less favorable trading hours. This integration is the core originality of SPM. Each component makes the others more useful than they would be in isolation. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ HOW THE QUALITY SCORE IS CALCULATED The Quality Score (0-100) synthesizes all layers into a single number for each direction (long and short): For Long Quality Score: - Fuel Component (28% weight) : Full fuel value if impulse direction is bullish; 60% of fuel value otherwise - Trap Avoidance (22% weight) : 75 points if no trap zone below; otherwise 100 minus the trap confluence score (minimum 20) - Velocity Component (18% weight) : Direct velocity score - Session Component (17% weight) : Current session quality score - Trend Alignment (15% bonus) : Adds 12 points if price is above the 20-period SMA For Short Quality Score: - Same structure but reversed (bearish impulse direction, trap zone above, price below SMA) The direction with the higher score becomes the current Bias. A 12-point difference is required to switch bias, preventing flip-flopping in neutral conditions. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SIGNAL TYPES AND WHAT THEY MEAN SPM generates four types of signals, each with specific visual representation: PRIME SIGNALS (Cyan Diamond) These represent the highest quality confluence. Requirements: - Quality score crosses above the Prime threshold (default 80) - Bias aligns with signal direction - Fuel is sufficient (above 40%) - Session is active (not off-peak) - Cooldown period has passed Prime signals appear as cyan-colored diamond shapes. Long signals appear below the bar; short signals appear above. STANDARD SIGNALS (Green Triangle Up / Red Triangle Down) These represent good quality setups. Requirements: - Quality score crosses above the Standard threshold (default 75) but below Prime - Same bias, fuel, and cooldown requirements as Prime Standard signals appear as small triangles in green (long) or red (short). CAUTION SIGNALS (Small Faded Circle) These represent minimum threshold setups. Requirements: - Quality score crosses above the Caution threshold (default 65) but below Standard - Same additional requirements Caution signals appear as small, faded circles. These suggest the setup exists but with weaker confluence. Consider these only when broader market context supports them, or skip them entirely during uncertain conditions. EXHAUSTION SIGNAL (Purple X with "EXIT" text) This warning appears when the Fuel Gauge drops below 20% from above, indicating momentum has depleted. This is not a trade signal but a warning to: - Consider exiting existing positions - Avoid entering new trades in the current direction - Wait for new momentum to develop All signals use CONFIRMED bar data only (referencing the previous closed bar) to prevent repainting. Once a signal appears, it will never disappear or change position on historical bars. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ READING THE CHART ELEMENTS TRAP ZONES (Red Dashed Box with "TRAP XX%" Label) These mark price levels where multiple historical swing points cluster. The red dashed box shows the zone boundaries. The percentage is the confluence score indicating cluster strength and proximity. How to use: When price approaches a trap zone, be cautious about entering in that direction. If your bias is LONG and there's a strong trap zone above, consider taking partial profits before price reaches it or adjusting your target below it. ENTRY ZONES (Green Solid Box with "ENTRY" Label) These show suggested entry areas based on the current bias direction. For LONG bias, the entry zone appears below the trap zone (buying the dip beyond support). For SHORT bias, it appears above the trap zone (selling the rally beyond resistance). How to use: Rather than entering at current price, consider placing limit orders within the entry zone. This positions you beyond where typical trap reversals occur. TARGET ZONES (Blue Dotted Box with "TARGET" Label) These project potential take-profit areas based on ATR multiples, adjusted for: - Current volatility regime (wider in high volatility, tighter in low) - Impulse direction (larger targets when aligned with impulse) - Nearby trap zones (targets adjust to avoid placing TP inside trap zones) How to use: These are suggestions, not guarantees. Consider taking partial profits before the target or using trailing stops once price moves favorably. STOP LEVEL (Orange Dashed Line with "STOP" Label) This shows suggested stop-loss placement, calculated as 0.8 ATR beyond the trap zone (or 2.0 ATR from current price if no trap zone exists). How to use: This provides a reference for risk calculation. The dashboard R:R ratio is calculated using this stop level. Chart Example: Scalp Precision Matrix displays real-time market analysis through dynamic zones and quality scores. ENTRY/TARGET/STOP zones show potential price levels based on current market structure - they appear continuously as reference points, NOT as trade instructions. Actual trade signals (diamonds, triangles, circles) fire only when multiple conditions align: quality score thresholds are crossed, fuel gauge is sufficient, session is active, and cooldown period has passed. The zones help you understand market context; the signals tell you when to act. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ UNDERSTANDING THE DASHBOARD (Top Right Panel) The main dashboard provides comprehensive market context: Row 1 - Header: - "SPM " : Indicator name - Market State : Current overall condition Market States Explained: - PRIME : Excellent conditions. Quality score meets prime threshold, session is active. Best opportunities. - READY : Good conditions. Quality score meets standard threshold. Solid setups available. - WAIT : Mixed conditions. Some factors favorable, others not. Patience recommended. - AVOID : Poor conditions. Off-peak session or very low volatility. High risk of false signals. - EXIT : Fuel exhausted. Momentum depleted. Consider closing positions or waiting. Row 2-3 - Quality Bars: - " UP ########## " : Visual meter for long quality (each # = 10 points, . = empty) - " DN ########## " : Visual meter for short quality - The number on the right shows the exact quality score Row 4 - Bias: - Shows current directional lean: LONG, SHORT, or NEUTRAL - Color-coded: Green for long, red for short, gray for neutral Rows 5-7 (Full Mode Only) - Trade Levels: - Entry : Suggested entry price for current bias direction - Stop : Suggested stop-loss price - Target : Projected take-profit price Row 8 - Risk:Reward Ratio: - Format : "1:X.X" where X.X is the reward multiple - Color-coded : Green if 2:1 or better, amber if 1.5:1 to 2:1, red if below 1.5:1 Row 9 - Fuel: - Shows percentage and estimated bars remaining in parentheses - Example : "72% (8)" means 72% fuel with approximately 8 bars remaining - Color-coded : Green above 70%, amber 40-70%, red below 40% Row 10-11 (Full Mode Only) - Market Conditions: - Vol : Current volatility regime (HIGH/NORMAL/LOW) - Speed : Current velocity zone (FAST/NORMAL/SLOW) Row 12 - Session: - Shows active trading session - Color-coded by session type Row 13 (Full Mode Only) - Remaining: - Time remaining in current session (hours and minutes) Row 14 (Conditional) - Trap Warning: - Appears when a significant trap zone exists in your bias direction - Shows direction (ABOVE/BELOW) and confluence percentage ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ UNDERSTANDING THE QUICK PANEL (Bottom Left) The Quick Panel provides essential information at a glance without looking away from price action: Row 1: Current Bias and Quality Score (large text for quick reading) Row 2: Market State Row 3: Fuel Percentage Row 4: Estimated Bars Remaining Row 5: Risk:Reward Ratio Row 6: Current Session Both panels can be repositioned using the settings, and each can be toggled on/off independently. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SETTINGS EXPLAINED CORE SETTINGS: Analysis Lookback (Default: 20) Number of bars used for statistical calculations including average volume and average body size. Higher values create smoother but slower-reacting analysis. Lower values are more responsive but may include more noise. Swing Detection Length (Default: 5) Bars required on each side to confirm a swing high or low. A setting of 5 means a swing high must have 5 lower highs on each side. Lower values detect more swings (more trap zones, more sensitivity). Higher values find only major pivots (fewer but more significant zones). Impulse Sensitivity (Default: 1.5) Multiplier for ATR when detecting impulse moves. Lower values (like 1.0) detect smaller price movements as impulses, refreshing the fuel gauge more frequently. Higher values (like 2.5) require larger moves, making impulse detection less frequent but more significant. SIGNAL SETTINGS: Prime/Standard/Caution Thresholds (Defaults: 80/75/65) These control the quality score required for each signal tier. You can adjust these based on your preference: - More conservative : Raise thresholds (e.g., 85/80/70) for fewer but higher-quality signals - More aggressive : Lower thresholds (e.g., 75/70/60) for more signals with slightly lower quality Signal Cooldown (Default: 8 bars) Minimum bars between signals to prevent signal spam. After any signal fires, no new signals can appear until this many bars pass. Increase for fewer signals in choppy markets; decrease if you want faster signal refresh. Show Prime/Standard/Caution/Exhaustion Signals Toggle each signal type on or off based on your preference. ZONE DISPLAY: Show Trap Zones / Entry Zones / Target Zones / Stop Levels Toggle each zone type on or off. Turning off zones you don't use reduces chart clutter. Zone Transparency (Default: 88) Controls how transparent zone boxes appear. Higher values (closer to 95) make zones barely visible; lower values (closer to 75) make them more prominent. Zone History (Default: 25 bars) How far back zone boxes extend on the chart. Purely visual preference. BACKGROUND: Background Mode (Options: Off, Subtle, Normal) Controls whether and how intensely the chart background is colored. Subtle is barely noticeable; Normal is more visible; Off disables background coloring entirely. Background Type (Options: Bias, Fuel) - Bias : Colors background based on current directional lean (green for long, red for short) - Fuel : Colors background based on momentum level (green for high fuel, amber for moderate, red for low) DASHBOARD / QUICK PANEL: Show Dashboard / Show Quick Panel Toggle each panel on or off. Compact Mode When enabled, the main dashboard shows only essential rows (quality bars, bias, R:R, fuel, session) without entry/stop/target levels, volatility, velocity, or time remaining. Position Settings Choose where each panel appears on your chart from six options: Top Right, Top Left, Bottom Right, Bottom Left, Middle Right, Middle Left. ALERTS: Alert Prime Signals / Standard Signals / Fuel Exhaustion Enable or disable TradingView alerts for each condition. When enabled, you can set up alerts in TradingView that will notify you when these conditions occur. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ RECOMMENDED TIMEFRAMES AND USAGE OPTIMAL TIMEFRAMES: - 1-minute to 5-minute : Best for active scalping with quick entries and exits - 5-minute to 15-minute : Balanced scalping with slightly more confirmation - 15-minute to 1-hour : Short-term swing entries, fewer but more significant signals Zone visualizations only appear on intraday timeframes to prevent chart clutter on higher timeframes. BEST PRACTICES: 1. Trade primarily during LONDON, NEW YORK, or OVERLAP sessions. The indicator weights these sessions higher for good reason - liquidity and movement are typically better. 2. Prioritize PRIME signals. These represent the highest confluence and have proven most reliable. Use STANDARD signals as secondary opportunities. Treat CAUTION signals with extra scrutiny. 3. Respect the Fuel Gauge. Avoid entering new positions when fuel is below 40%. When the EXIT signal appears, seriously consider closing or reducing positions. 4. Pay attention to TRAP warnings. When the dashboard shows a trap zone in your bias direction, be cautious about holding through that level. 5. Verify R:R before entry. The dashboard shows the risk-to-reward ratio. Ensure it meets your minimum requirements (many traders require at least 1.5:1 or 2:1). 6. When state shows AVOID or EXIT, step back. These conditions typically produce poor results. 7. Combine with your own analysis. SPM is a decision-support tool, not a standalone system. Use it alongside your understanding of market structure, news events, and overall context. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ PRACTICAL EXAMPLE Scenario : You're watching a 5-minute chart during London session. A cyan diamond (Prime Long signal) appears below the bar. Before entering, you check the dashboard: - State shows "PRIME" - conditions are favorable - Fuel shows "72% (8)" - plenty of momentum remaining (approximately 8 bars) - R:R shows "1:2.3" - acceptable risk-to-reward ratio - Session shows "LONDON" - active session with good liquidity - No TRAP warning in dashboard - no immediate resistance cluster in your way - Entry zone visible on chart at a lower price level - Stop and Target zones clearly marked With this confluence of factors, you have context for a more informed decision. The signal indicates quality, the fuel suggests momentum remains, the R:R is favorable, and no immediate trap threatens your trade. However, you also notice the target zone sits just below where a trap zone would be if there were one. This is by design - SPM adjusts targets to avoid placing them inside reversal zones. This multi-factor confirmation delivered in a single glance is what SPM provides. Chart Example :This chart demonstrates how the Scalp Precision Matrix identifies key market transitions. After a strong bullish impulse (cyan PRIME signal at ~08:30), price reached a historical reversal cluster (TRAP ZONE at 92,300). The indicator detected momentum exhaustion (purple EXIT signal) as fuel dropped below 20%, warning traders to exit longs. Now showing a SHORT bias with entry/stop/target zones clearly marked. The 92% trap zone confluence indicates a strong cluster of previous swing highs where price historically reversed. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ DATA WINDOW VALUES For detailed analysis and strategy development, SPM exports the following values to TradingView's Data Window (visible when you hover over the chart with the indicator selected): - Long Quality Score (0-100) - Short Quality Score (0-100) - Fuel Gauge (0-100%) - Risk:Reward Ratio These values can be useful for understanding how the indicator behaves over time and for developing your own insights about when it works best for your trading style. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ NON-REPAINTING CONFIRMATION All signals in SPM are generated using CONFIRMED bar data only. The signal logic references the previous closed bar's values ( and in Pine Script terms). This means: - Signals appear at the OPEN of the new bar (after the previous bar closes) - Signals will NEVER disappear once they appear - Signals will NEVER change position on historical bars - What you see in backtesting is what you would have seen in real-time The dashboard and zones update in real-time to provide current market context, but the trading signals themselves are non-repainting. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ IMPORTANT DISCLAIMERS TERMINOLOGY CLARIFICATION: This indicator uses terms that might imply access to data it does not have. To be completely transparent: - "Trap Zones" are calculated from historical swing point clustering. They are NOT institutional liquidity pools, order blocks, smart money footprints, or any form of order flow data. The term "trap" is metaphorical, describing how price has historically reversed at these levels. - "Fuel Gauge" is a technical momentum proxy. It is NOT order flow, volume profile, depth of market, or bid/ask data. It estimates momentum remaining based entirely on standard OHLCV price and volume data. - "Quality Scores" are weighted combinations of the technical factors described above. A high score indicates multiple conditions align favorably according to the indicator's logic. It does NOT predict or guarantee trade success. - The percentages shown on trap zones are CONFLUENCE SCORES measuring cluster density and proximity. They are NOT probability predictions of reversal. TRADING RISK WARNING: Trading involves substantial risk of loss and is not suitable for all investors. This indicator is a technical analysis tool designed to assist with decision-making. It does not constitute financial advice, trading advice, or any other sort of advice. Past performance of any signal or pattern does not guarantee future results. Markets are inherently unpredictable. Always use proper risk management. Define your risk before entering any trade. Never risk more than you can afford to lose. Consider consulting with a licensed financial advisor before making trading decisions. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ORIGINALITY STATEMENT - NOT A MASHUP Scalp Precision Matrix is an original work that combines several analytical concepts into a purpose-built scalping framework. While individual components like ATR calculations, pivot detection, session timing, and trend alignment exist in various forms elsewhere, the specific implementation here represents original synthesis: - The Fuel Gauge decay model with its four-component weighted calculation - The Trap Zone cluster detection with confluence scoring - The multi-factor quality scoring system that integrates all layers - The trap-aware entry and target zone placement logic - The volatility regime adaptation across all components - The session weighting is integrated into the quality assessment The indicator does not simply overlay separate indicators on one chart. It creates interconnected layers where each component informs and adjusts the others. This integration is the core originality of SPM. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ For best results, combine SPM with your own market understanding and always practice proper risk management. -BullByte
אינדיקטור Pine Script®
מאת ‎BullByte‎
10
ZigZag ATR PctZigZag ATR % Library A PineScript v6 library for detecting price pivots based on ATR percentage change (volatility shifts) rather than fixed ATR multiples. How It Works Traditional ZigZag indicators use a fixed price threshold to detect pivots. This library takes a different approach: pivots are detected when volatility is changing significantly . The ATR % change measures how much the Average True Range has shifted over a lookback period: atrPct = 100 * (atr / atr - 1) Positive ATR % = Volatility expanding (market becoming more volatile) Negative ATR % = Volatility contracting (market calming down) Pivots form when |ATR %| exceeds your threshold, capturing turning points during volatility transitions. Exported Types Settings - Configuration (ATR length, lookback, threshold, display options) Pivot - Pivot point data (price, time, direction, volume, ATR %) ZigZag - Main state container Exported Functions newInstance(settings) - Create a new ZigZag instance update(zz, atr, atrPct) - Update on each bar getLastPivot(zz) - Get the most recent pivot getPivot(zz, index) - Get pivot at specific index getPivotCount(zz) - Get total number of pivots calcTR() - Calculate True Range calcATR(length) - Calculate ATR using EMA calcATRPct(atr, atrPrev) - Calculate ATR % change calcPricePct(startPrice, endPrice) - Calculate price % change Usage Example //@version=6 indicator("My ZigZag", overlay = true) import DeepEntropy/ZigZagATRPct/1 as zz // Settings var zz.Settings settings = zz.Settings.new( atrLength = 14, atrLookback = 14, atrPctThreshold = 5.0, depth = 10 ) var zz.ZigZag zigZag = zz.newInstance(settings) // Calculate ATR % float atr = zz.calcATR(14) float atrPct = zz.calcATRPct(atr, atr ) // Update zigZag := zz.update(zigZag, atr, atrPct) // Access pivots int count = zz.getPivotCount(zigZag) if count > 0 zz.Pivot last = zz.getLastPivot(zigZag) label.new(last.point, text = str.tostring(last.atrPct, "#.##") + "%") Parameters ATR Length - Period for ATR calculation (default: 14) ATR Lookback - Bars to look back for ATR % change (default: 14) ATR % Threshold - Minimum |ATR %| to trigger pivot detection (default: 5.0) Depth - Minimum bars between pivots (default: 10) Use Cases Identify reversals during volatility regime changes Filter noise during low-volatility consolidation Detect breakout pivots when volatility expands Build volatility-aware trading systems This library detects when the market's behavior is changing, not just how much price has moved.
ספריית Pine Script®
מאת ‎DeepEntropy‎
CVD - Cumulative Volume Delta Line - TheActulaSnailCVD – Cumulative Volume Delta Line Author: TheActualSnail Description: The CVD (Cumulative Volume Delta) Line indicator calculates the net difference between buying and selling volume over time, helping traders visualize market pressure and order flow. Instead of bars, this version plots a smooth line representing cumulative delta, making it easier to spot trends, divergences, and resets. Key Features: Smooth CVD line showing cumulative volume delta. Optional Moving Average for trend smoothing. Configurable resets: daily, fixed higher timeframe, session start, or specific intraday time. Zero line for reference. Background highlights when the CVD resets. Settings Explanation 1. CVD Resets (resetInput) Defines when the CVD calculation resets to zero: None: Never resets; the CVD accumulates indefinitely. On a stepped higher timeframe: Resets at the start of each bar of a higher timeframe (e.g., daily on a 1H chart). On a fixed higher timeframe: Resets at the start of a specific timeframe you choose (fixedTfInput). At a fixed time: Resets at a specific hour and minute each day (hourInput and minuteInput). Works only on intraday charts. At the beginning of the session: Resets at the start of each trading session (useful for markets with fixed open/close hours). 2. Fixed Higher Timeframe (fixedTfInput) Used with fixed higher timeframe reset. Example: "D" = reset at the start of each day, "W" = reset at the start of each week. 3. Fixed Time (hourInput & minuteInput) Used only with At a fixed time reset. Example: hour = 9, minute = 30 → CVD resets at 9:30 AM each day. 4. Volume Delta Calculation (vdCalcModeInput) Volume delta: Cumulative delta = up volume − down volume. Volume delta percent: Relative delta = (up − down) / total volume. 5. Visuals CVD Line Colors: Green for positive delta, red for negative. CVD MA: Optional moving average to smooth the line. Zero Line: Reference for zero cumulative delta. Background Color on Reset: Highlights bars when CVD resets. Usage Notes This indicator is for informational purposes only. It does not provide buy or sell signals. Always combine CVD analysis with other indicators, price action, and risk management. Market conditions can change rapidly; use caution when making trading decisions. Tip: For intraday charts, consider using fixed time resets to see daily market pressure clearly. For higher timeframe analysis, use daily or weekly resets.
אינדיקטור Pine Script®
מאת ‎TAS1TheActualSnail‎
ZigZag ATRZigZag ATR Library A volatility-adaptive ZigZag indicator that uses Average True Range (ATR) instead of fixed percentage deviation to detect pivot points. This makes the ZigZag dynamically adjust to market conditions — tighter during low volatility, wider during high volatility. Why ATR instead of Percentage? The standard ZigZag uses a fixed percentage threshold (e.g., 5%) to determine when price has reversed enough to form a new pivot. This approach has limitations: A 5% move means very different things for a $10 stock vs a $500 stock During high volatility, fixed percentages create too many pivots (noise) During low volatility, fixed percentages may miss significant structure ATR-based deviation solves these issues by measuring reversals in terms of actual volatility , not arbitrary percentages. Key Features Volatility-adaptive pivot detection using ATR × multiplier threshold Automatic adjustment to changing market conditions Full customization of ATR length and multiplier Optional line extension to current price Pivot labels showing price, volume, and price change Clean library structure for easy integration Settings ATR Length — Period for ATR calculation (default: 14) ATR Multiplier — How many ATRs price must move to confirm a new pivot (default: 2.0) Depth — Bars required for pivot detection (default: 10) Extend to Last Bar — Draw provisional line to current price Display options — Toggle price, volume, and change labels How to Use import YourUsername/ZigZagATR/1 as zz // Create settings var zz.Settings settings = zz.Settings.new( 14, // ATR length 2.0, // ATR multiplier 10 // Depth ) // Create ZigZag instance var zz.ZigZag zigZag = zz.newInstance(settings) // Calculate ATR and update on each bar float atrValue = ta.atr(14) zigZag.update(atrValue) Exported Types Settings — Configuration for calculation and display Pivot — Stores pivot point data, lines, and labels ZigZag — Main object maintaining state and pivot history Exported Functions newInstance(settings) — Creates a new ZigZag object update(atrValue) — Updates the ZigZag with current ATR (call once per bar) lastPivot() — Returns the most recent pivot point Recommended Multiplier Values 1.0 - 1.5 → More sensitive, more pivots, better for scalping 2.0 - 2.5 → Balanced, good for swing trading (default) 3.0+ → Less sensitive, major pivots only, better for position trading Based on TradingView's official ZigZag library, modified to use ATR-based deviation threshold.
ספריית Pine Script®
מאת ‎DeepEntropy‎
Volume Flow DirectionThe indicator is showing you volume flow direction - sustained flow in one direction (green or red dominance) suggests institutional participation that often precedes price movement in that direction. Use in combination with Cumulative Volume Histogram to spot divergences. Key Interpretation Guidelines: 1. Trend Direction : - Sustained green dominance suggests underlying buying pressure (bullish) - Sustained red dominance suggests underlying selling pressure (bearish) 2. Signal Line Crossings (more important than just height): - Bullish signal : When the combined buffer (white line) crosses above the green signal line - Bearish signal : When the combined buffer crosses below the red signal line 3. Divergences (most powerful signals): - Bullish divergence : Price makes lower lows but indicator makes higher lows (green area grows) - Bearish divergence : Price makes higher highs but indicator makes lower highs (red area deepens) Practical Trading Interpretation: Current Market Bias: - Bullish bias : Green area consistently above zero line - Bearish bias : Red area consistently below zero line - Neutral : Indicator oscillating around zero with neither color dominating Confirmation Factors: 1. Signal Method Context : Your chosen signal method (Percentage, Fixed, etc.) determines the thresholds 2. Trading Style Setting : Different styles (Range/Trend/News) use different parameters 3. Timeframe Consistency : Longer dominance (multiple bars) is more significant than brief spikes
אינדיקטור Pine Script®
מאת ‎jaymoran‎
GEX Walls + Market Open Shading### Overview This Pine Script (version 6) creates a TradingView indicator called **"GEX Walls + Market Open Shading"**. It overlays directly on the price chart and is designed for intraday trading, particularly for indices like SPX or ES futures. The script combines two main features: - **GEX Walls**: Visual boxes and labels highlighting "Gamma Exposure" (GEX) levels—key support (Put Wall) and resistance (Call Wall) zones based on options gamma. It includes approach alerts. - **Market Open Shading**: A semi-transparent background shade during a customizable post-market-open session (e.g., first 2 hours after 9:30 AM EST). It uses up to 20 boxes and 20 labels, with right-scale positioning for better visibility on the price axis. The script detects new trading days to reset visuals dynamically. ### Key Inputs The script is highly customizable via inputs grouped into sections: #### GEX Walls Inputs - **Call Wall** (default: 6900.0): Upper resistance level. - **Put Wall** (default: 6850.0): Lower support level. - **Buffer** (default: 3.0 points): Vertical padding around each wall for box thickness. - **Alert Distance** (default: 10.0 points): Threshold for triggering "approach" alerts. - **Colors**: Semi-transparent yellow for Call Wall boxes (#ffeb3b at 80% opacity), orange for Put Wall (#ff9800 at 80%). - **Toggles**: Show/hide boxes; enable/disable alerts; restrict alerts to shaded session only. - **Labels**: Text color (white), offset (bars to the right, default -2), size (tiny/small/normal/large). #### Market Open Shading Inputs - **Shade Color** (default: white at 90% transparency): Background fill during session. - **Transparency** (0-100, default: 90): Opacity level. - **Open Time** (default: 9:30 EST): Hour/minute for session start. - **Duration**: Dropdown with pre-formatted options (e.g., "120 min: 11:30a EST / 8:30a PST" up to 195 min), showing both EST and PST end times for convenience. - **Toggle**: Show/hide shading. ### How It Works #### 1. Market Open Shading - Calculates end time from open hour/minute + selected duration (e.g., 120 minutes from 9:30 AM EST = 11:30 AM EST). - Builds a session string (e.g., "0930-1130") for TradingView's `time()` function. - Detects if the current bar is within the session using `not na(time("", sessionString))`. - Applies `bgcolor()` with the user-defined color/transparency only during the session. - Helper functions format times in 12-hour AM/PM style (e.g., "11:30a") for labels, with EST/PST variants. #### 2. Day Detection - Uses `time("D")` to track daily changes (`ta.change(dayTime) != 0` signals a new day). - Maintains variables for the current day's start bar index (`todayStartIndex`) and previous day's start (`prevStartIndex`). - This ensures boxes span exactly from yesterday's open to today (intraday reset on new days). #### 3. GEX Walls Visualization - **Boxes**: Drawn once `prevStartIndex` is known (i.e., on the second day onward). - Left edge: Previous day's start bar. - Right edge: Current bar (extends live). - Height: Wall level ± buffer (e.g., Call Wall box from 6900-3 to 6900+3). - Updated dynamically with `box.set_*` functions; hidden (100% transparent) if toggled off. - **Labels**: Placed at exact wall levels, offset to the right (e.g., 2 bars ahead for readability). - Text: "CALL WALL: 6900.0" or "PUT WALL: 6850.0". - Style: Right-aligned, black background (transparent), user-defined text color/size. - Deleted if toggled off. - All visuals use `xloc.bar_index` for bar-based positioning. #### 4. Alerts - **Call Wall Approach**: Triggers when close enters within `alertDistance` below the wall, but prior bar was further away (rising toward resistance). Message: "Price approaching Call Wall at from below (within points)". - **Put Wall Approach**: Symmetric for falling toward support (within distance above wall). - Filtered optionally to shaded session only. - Uses `alertcondition()` with hidden plots (`display=display.none`) for dynamic message placeholders (e.g., `{{plot_0}}` inserts wall level). ### Notable Features & Behaviors - **Intraday Focus**: Boxes/labels reset daily, making it ideal for day trading without historical clutter. - **Time Zone Handling**: Defaults to EST for market open but shows PST equivalents in dropdowns (subtracts 3 hours). - **Efficiency**: Uses `var` declarations for persistent objects (boxes/labels) to avoid recreation on every bar. - **Edge Cases**: Handles label offsets (clamped -10 to 50 bars); session wrapping (e.g., overnight via %24); new chart loads (initializes on first bar). - **Customization Depth**: 20+ inputs allow fine-tuning without code edits. Alerts integrate seamlessly with TradingView's system. - **Limitations**: Relies on bar_index for historical spanning (best on lower timeframes like 1-5 min); no historical backfill for walls (live-only). This script is a practical tool for options-aware traders monitoring gamma squeezes or pinning levels during market open volatility. To use it, paste into TradingView's Pine Editor, adjust inputs for your asset (e.g., update walls for current GEX data), and add to chart.
אינדיקטור Pine Script®
מאת ‎skrillionaire1‎
[QuantLabs] Kinetic Fusion Ultra The Problem with Standard Indicators Most trading indicators fail for one simple reason: They are Static. A standard Stochastic or CCI uses fixed variables that might work perfectly on EURUSD but fail completely on Bitcoin or Gold. This forces you to constantly tweak settings to avoid false signals, and usually, by the time you adjust them, the move is over. Kinetic Fusion Ultra Kinetic Fusion Ultra solves this by combining Stochastic Position (Static) with Adaptive Momentum (Velocity). At its core is a proprietary Adaptive Normalization Engine. This algorithm "learns" the volatility of the asset over the last 100 bars and auto-scales the momentum data to fit perfectly into a 0-100 oscillator window. Whether you are scalping a 1-minute Crypto chart or swinging a Weekly Stock chart, the signals remain mathematically consistent.
אינדיקטור Pine Script®
מאת ‎CustomQuantLabs‎
1
updated swapsV-Tap (also called D-Tap) is a standardized auxiliary power output found on V-mount batteries. It provides direct DC power—typically around 14.4V—to run external accessories such as monitors, wireless video transmitters, follow-focus motors, LED lights, and audio equipment. V-Tap ports allow filmmakers to power multiple devices from a single battery, reducing cable clutter and improving mobility on set. If you want it shorter, more technical, or more marketing-style, tell me where you’re using it (product page, manual, school project, etc.).
אינדיקטור Pine Script®
מאת ‎ldraco‎
VWAP Suite (Updated 3W + Long Term)VWAP Suite (Updated 3W + Long Term)VWAP Suite (Updated 3W + Long Term)VWAP Suite (Updated 3W + Long Term)VWAP Suite (Updated 3W + Long Term)VWAP Suite (Updated 3W + Long Term)VWAP Suite (Updated 3W + Long Term)VWAP Suite (Updated 3W + Long Term)VWAP Suite (Updated 3W + Long Term)VWAP Suite (Updated 3W + Long Term)VWAP Suite (Updated 3W + Long Term)VWAP Suite (Updated 3W + Long Term)VWAP Suite (Updated 3W + Long Term)VWAP Suite (Updated 3W + Long Term)VWAP Suite (Updated 3W + Long Term)VWAP Suite (Updated 3W + Long Term)VWAP Suite (Updated 3W + Long Term)v
אינדיקטור Pine Script®
מאת ‎ldraco‎
Aggressive ScalpingAggressive Scalping — EMA × RSI × VWAP × ADX Mesh-Up Aggressive Scalping is a precision intraday indicator designed for range-to-early expansion environments, where most scalping strategies either over-trade or get chopped up. This indicator intentionally meshes four complementary tools—EMA structure, RSI momentum, VWAP bias, and ADX regime detection—to isolate high-probability micro-moves while filtering out trend exhaustion and late entries. The goal is simple: trade only when price is aligned, momentum is controlled, and the market is quiet enough to move cleanly. Why This Mesh-Up Exists Most scalping indicators fail because they: Trade every EMA cross Ignore market regime Chase overextended RSI Enter against VWAP This script solves that by assigning one clear job to each component: 1️⃣ EMA Structure (Fast vs Slow) Defines short-term directional bias Triggers precise entry timing Provides clean crossover signals (▲ / ▼) EMAs answer: Which side should I be on right now? 2️⃣ RSI Control (Not Overbought / Oversold) Prevents chasing extended moves Filters entries when momentum is already spent Keeps scalps inside continuation windows RSI answers: Is there still fuel left for a scalp? 3️⃣ VWAP Bias (Institutional Fair Value) Aligns trades with institutional positioning Blocks longs below VWAP and shorts above VWAP (optional) Greatly reduces counter-trend noise VWAP answers: Am I trading with or against the real money? 4️⃣ ADX Regime Filter (Range Detection) Allows entries only when ADX is below a threshold Avoids high-ADX trend exhaustion and fake pullbacks Highlights scalp-friendly compression zones ADX answers: Is the market calm enough to scalp? How to Use the Signals 🔺 EMA Bullish Crossover (Green Triangle Up) Fast EMA crosses above Slow EMA Early directional shift Can be used as: Standalone momentum trigger Confirmation for pullback entries 🔻 EMA Bearish Crossover (Red Triangle Down) Fast EMA crosses below Slow EMA Early downside signal Ideal for quick downside scalps or fades 🟢 Long Entry Signal (Larger Green Triangle) Triggers only when ALL conditions align: EMA bullish structure RSI not overbought ADX below threshold (range mode) Price above VWAP (if enabled) 🔴 Short Entry Signal (Larger Red Triangle) Triggers only when: EMA bearish structure RSI not oversold ADX below threshold Price below VWAP (if enabled) These are high-quality scalp entries, not constant signals. Best Market Conditions ✔ Choppy to mildly trending sessions ✔ Open, mid-day, power hour rotations ✔ Large-cap & mega-cap stocks ✔ Index futures (ES, NQ) ✔ VWAP-respecting instruments 🚫 Not designed for: Strong trend days News-driven momentum explosions Illiquid small caps Final Notes This indicator is not a prediction tool. It is a structure-and-regime alignment tool. Use it to: Reduce over-trading Improve entry precision Trade fewer, cleaner setups Stay aligned with market context Pair it with: Strict risk management Session awareness Price action confirmation
אינדיקטור Pine Script®
מאת ‎MomentumCraft_‎
Structure + MTF + Failed 2U/2D + PDH/PDL Sweeps (Toolkit)How this behaves (so you are not guessing) 1) Liquidity sweeps (PDH/PDL) PDH Sweep: price trades above yesterday’s high, then (by default) closes back below PDH PDL Sweep: price trades below yesterday’s low, then closes back above PDL You can allow wick-only sweeps via the input if you want more signals (and more noise, because humans love noise). 2) Failed 2U / Failed 2D Failed 2U: candle takes prior high but closes back below it (failure) Failed 2D: candle takes prior low but closes back above it If you enable confirmation, the script triggers the “confirmed” entry only when the next candle breaks the fail candle in the intended direction. 3) FTFC strength meter (0–3) Uses 3 higher timeframes you pick (defaults 15, 60, 240). Strength = how many of those TF candles are bullish or bearish. “Aligned” means 2 or 3 agree. 4) Consolidation filter Flags consolidation when: You have an inside-bar streak (default 2+) and/or ATR is compressed vs its own SMA (default threshold 0.80) Then it can block entries if you enable “Avoid entries during consolidation”. 5) “Setup Ready” alert Triggers before entries when: Sweep/rejection context exists (PDH/PDL) Structure signal is forming (failed or reversal pattern) Consolidation filter allows it That’s your “stop chasing every candle” mechanism.
אינדיקטור Pine Script®
מאת ‎immortal_itachi7‎
MTF Confluence Reporter - Trend & Momentum AlignmentThis indicator is a multi-timeframe confluence dashboard designed to answer one question clearly: “Across my key timeframes, is the market leaning Bullish, Bearish, or Mixed—and how strong is that lean?” It combines two separate “votes” per timeframe: 4MA Direction (trend alignment / slope bias) StochRSI State (momentum bias) Those votes are then blended into a single Confluence result, shown as a clean readout with a 0–100 Strength score, plus hysteresis to reduce flicker near the decision boundary. What you see in the table 1) 4MA This is the trend component. It summarizes whether the selected timeframes are generally Bull or Bear based on the moving-average direction logic (your 4MA engine). 2) Stoch This is the momentum component. It summarizes whether StochRSI across the selected timeframes is leaning Bull or Bear. 3) Qualified (YES/NO) A safety gate. “Qualified = YES” means the internal conditions required for a valid confluence read are met (i.e., enough alignment/consistency to treat the output as actionable). If it’s NO, treat the market as mixed / transitional and tighten risk. 4) Strength (0–100) Your blended score (trend + momentum). Higher = stronger agreement across timeframes. A simple way to interpret it: 80–100: Strong alignment (clean regime) 60–79: Moderate alignment (tradable, but expect chop) 50–59: Weak / transitioning (be cautious) < 50: Bearish side of the regime logic (or mixed turning down) 5) Strength Bar A visual “battery meter” for the Strength score. This is meant to be read at a glance during fast decision-making. 6) Confluence (BULL/BEAR) The actual regime output. This is the “final answer” based on the Strength score and hysteresis rules. 7) Hysteresis (Enter / Exit thresholds) This is the anti-flicker system. Example shown on the chart: Enter > 60 Exit < 50 Meaning: The script only “flips ON” a Bull regime when strength becomes convincingly Bullish (above 60). It won’t “flip OFF” until strength meaningfully weakens (below 50). This reduces rapid flipping during 50/50 conditions. How to use it (practical workflow) Step 1 — Use Confluence as your “market mode” BULL: Favor longs, trend-following entries, buying pullbacks. BEAR: Favor defense, shorts/hedges (if you trade them), or wait for reset. Qualified = NO: Reduce size, tighten stops, or wait—conditions are not clean. Step 2 — Use Strength to time aggressiveness Strength rising: Momentum is joining trend → entries tend to have better follow-through. Strength falling: Alignment is fading → take profit quicker or tighten risk. Step 3 — Use hysteresis as your “noise filter” If you’re a swing trader, hysteresis is your friend: Don’t overreact to a single bar change. Let the regime confirm and stay confirmed. Best use-cases Swing trading / position bias (daily/weekly context) Hedge decisions (when alignment flips and stays flipped) Filtering entries from other tools (only take signals that match the regime) Settings notes: This script is designed to be flexible: You can choose which timeframes matter most to you (commonly 1H / 4H / 1D / 1W / 1M). If your version includes weighting, you can tune weights to match your trading style (short-term vs swing). Thresholds (Enter/Exit) can be tightened for faster flips or widened for smoother regimes. Important notes / disclaimer (TradingView-safe) This tool is an informational confluence dashboard, not financial advice. No indicator can predict the future. Always confirm with market structure, risk management, and your own plan. Past behavior on a chart does not guarantee future results. How I Use This Indicator (Example Workflow) I use this tool primarily as a market-bias and risk-filter, not as a standalone entry signal. Establish the regime first I start by checking the Confluence row: BULL: I focus on long-side ideas and bullish continuation setups. BEAR: I become defensive, avoid counter-trend trades, or look for short/hedge opportunities where applicable. Qualified = NO: I treat the market as transitional and reduce risk. Use Strength to adjust aggressiveness When Strength is elevated and rising, I am more comfortable holding positions and allowing trades more room to develop. When Strength is declining, I tighten stops, reduce position size, or manage trades more actively. Let hysteresis do the work I do not react to every minor fluctuation near the midpoint. The built-in hysteresis thresholds help me stay aligned with the prevailing regime instead of over-trading during indecision. Entries come from other tools Actual entries are taken using price structure, support/resistance, or other indicators. This dashboard simply tells me whether the broader environment supports that idea or not. In short, I treat this indicator as a context and confirmation layer—it helps answer when to be aggressive, cautious, or patient.
אינדיקטור Pine Script®
מאת ‎Dinjin‎
Kitty Strength vs Ticker w/ Custom MA [theUltimator5]This indicator is one of the Roaring Kitty indicators shown on his StockCharts page, as the GME: SP:SPX chart. This indicator calculates and displays the relative strength of the current ticker against a comparison ticker of your choice (SPX by default). It helps you identify outperformance and underperformance trends by visualizing the price ratio between two assets, as well as an added moving average of your choice (100 SMA by default) Key Features: Customizable comparison ticker (default: SPX) - compare against any index or ticker (SPY, QQQ, DIA, etc.) Multiple moving average types: SMA, EMA, WMA, HMA, VWMA, and RMA Adjustable moving average length for trend identification Clean visualization in a separate pane below the main chart How to Use: The blue line represents the current relative strength ratio (Current Ticker / Comparison Ticker). When the line is rising, the current ticker is outperforming the comparison ticker. When falling, it's underperforming. The silver line is the moving average of the relative strength, which helps smooth out noise and identify longer-term trends. Crossovers between the relative strength and its moving average can signal changes in relative performance. I added additional user configuration so you can customize it to your preferred style since SPX and SMA 100 are not suitable for all tickers and timeframes.
אינדיקטור Pine Script®
מאת ‎TheUltimator5‎
Smart Money Concepts [LuxAlgo]//@version=5 indicator("Gold Price (Korea 1 Don)", overlay=true) // 설정: 실시간 환율 데이터 가져오기 (FX_IDC:USDKRW) usdKrw = request.security("FX_IDC:USDKRW", timeframe.period, close) // 계산 로직 // 트레이딩뷰 XAUUSD는 1트로이온스(31.1034768g) 기준 // 공식: (국제시세 * 환율 / 31.1035) * 3.75 troyOunceToGram = 31.1034768 oneDonGram = 3.75 goldPriceKrw = (close * usdKrw / troyOunceToGram) * oneDonGram // 화면 표시 (테이블 생성) var table priceTable = table.new(position.top_right, 2, 2, bgcolor = color.new(color.black, 50), border_width = 1) if barstate.islast // 헤더 table.cell(priceTable, 0, 0, "한국 금시세 (1돈)", text_color = color.white, bgcolor=color.new(color.gray, 20), text_size=size.small) // 가격 표시 (원화 형식으로 콤마 찍어서 출력) table.cell(priceTable, 0, 1, str.format("{0,number,###,###} 원", goldPriceKrw), text_color = color.yellow, text_size=size.large, bgcolor=color.black) // 참고용 환율 표시 table.cell(priceTable, 1, 0, "적용 환율", text_color = color.gray, text_size=size.small) table.cell(priceTable, 1, 1, str.format("{0,number,#,###.##} 원/$", usdKrw), text_color = color.gray, text_size=size.small)
אינדיקטור Pine Script®
מאת ‎kulmon222‎
Divergence Buy/SellUser Manual: Buy/Sell Divergence v1 - The Buy/Sell Divergence v1 indicator is a momentum-based analysis tool built upon the Vortex system. Its primary function is to identify discrepancies between price action and trend strength, signaling potential exhaustion points and market reversals (Divergences). - - - 1. Interface Components - The indicator consists of three main visual elements in the bottom panel: Dynamic Vortex (Lines): Green Line (VI+): Represents the strength of the buyers. Red Line (VI-): Represents the strength of the sellers. Note: With "Dynamic View" enabled, only the dominant line is shown, removing visual noise and clutter. Delta Histogram: Represents the mathematical difference between the two forces. Bars above zero (Lime) indicate a bullish trend; bars below zero (Maroon) indicate a bearish trend. Background Color: Green: Confirmed bullish trend. Red: Confirmed bearish trend. - - - 2. Signal Interpretation A. BUY DIV (Bullish Divergence) Occurs during a downtrend and signals a potential bounce or upward reversal. Price Condition: The price hits a new lower low. Indicator Condition: The red line (VI-) shows a lower peak of strength compared to its previous peak. Visual Signal: A green line connects the peaks on the indicator with the label "BUY DIV". Meaning: Sellers are pushing the price down, but with less conviction. Selling pressure is evaporating. - - - B. SELL DIV (Bearish Divergence) Occurs during an uptrend and signals a potential pullback or downward reversal. Price Condition: The price hits a new higher high. Indicator Condition: The green line (VI+) shows a lower peak of strength compared to its previous peak. Visual Signal: A red line connects the peaks on the indicator with the label "SELL DIV". Meaning: Buyers are driving the price to new highs, but buying momentum is fading. The trend is becoming "exhausted." - - - 3. Parameter Configuration Parameter Description Suggestion Length The Vortex calculation period (default: 14). Use 7-10 for Scalping; 14- 21 for Day Trading; 28+ for Swing Trading. Pivot Lookback Number of candles needed to confirm a peak Increase this (e.g., 8-10) (default: 5). for rarer but more reliable divergence signals. Dynamic View Hides the weaker trend line. Keep this ON for a clean and focused chart reading. - - - 4. Strategic Advice & Risk Management 1. Candle Confirmation: Do not enter the trade at the exact moment the label appears. Because divergences are based on "Pivots," the label appears with a delay equal to the Pivot Lookback. Wait for a break of the signal candle's high (for Buy Div) or low (for Sell Div). 2. Trend Filtering: Divergences are most powerful when they occur near historical support or resistance zones on the price chart. 3. Stop Loss Placement: - For a BUY DIV signal, place the Stop Loss slightly below the recent price low. - For a SELL DIV signal, place the Stop Loss slightly above the recent price high. 4. Confluence: If you receive a SELL DIV and simultaneously see the histogram shrinking toward the zero line, the probability of a successful trade increases significantly. - -
אינדיקטור Pine Script®
מאת ‎CryptoZoso‎