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스크립트에서 "GOLD"에 대해 찾기

Triple VWAP (RTH Anchored + 1D/2D Rolling) w/ Z-ScoreRolling & Anchored VWAP Hybrid Description: This indicator is designed for intraday traders (Futures, Crypto, Equities) who need to quickly identify market regimes by comparing session-specific value against multi-day rolling value. Traditional VWAP indicators force you to choose between "Anchored" (RTH) or "Rolling" (24h). This script combines both into a single hybrid tool, allowing you to spot trend days, mean reversion opportunities, and "fair value" dislocations instantly. Key Features: 1. Hybrid VWAP Engine RTH Anchored VWAP (Orange): Anchors automatically at the session open (default 09:30 NY). This represents the "true" institutional fair value for the current active session, ignoring overnight noise. 1-Day Rolling VWAP (Blue): A continuous 24-hour rolling window. This represents the short-term memory of the market (overnight + RTH). 2-Day Rolling VWAP (Purple): A continuous 48-hour rolling window. This acts as a slower, higher-timeframe support/resistance level. 2. Market Regime Identification By observing the relationship between these three lines, you can instantly define the regime: Bull Trend: Price > RTH VWAP > 1D VWAP > 2D VWAP. Bear Trend: Price < RTH VWAP < 1D VWAP < 2D VWAP. Expansion: When RTH VWAP breaks away from the 1D/2D Rolling VWAPs. Compression/Chop: When all three lines are flat and entangled. 3. Integrated Z-Score Matrix (Table) A built-in heatmap table displays the real-time Z-Score (standard deviation distance) of the current price relative to the 1-Day and 2-Day Rolling VWAPs. How to use: High Z-Score (> 2.0): Price is statistically extended (expensive). Look for mean reversion or exhaustion. Low Z-Score (< -2.0): Price is statistically cheap. Look for bounces. Zero (0.0): Price is at equilibrium (Fair Value). Settings & Customization: Session Time: Fully customizable RTH session (default 09:30-16:00) and Timezone. Bands: Optional standard deviation bands for the RTH VWAP to visualize volatility. Alerts: Built-in alert conditions for Price crossing any VWAP and for VWAP crossovers (Golden/Death crosses of value).
Pine Script® 인디케이터
volatility_Viking의
Herramienta Risk:Reward Pro - MECTRADEROverview: This is an advanced Risk/Reward management tool specifically designed for traders who execute based on Ticks (perfect for Futures like NQ/ES, Gold, or Forex). The main focus of this script is visual clarity and precision. Key Features: ✅ Clean Visuals (No Dimming): Built using linefill technology with a 92% transparency rate. This ensures the price action remains vibrant and clear. Unlike standard boxes, this tool does not darken or "muddy" the candles when the price enters the zone. ✅ Tick-Based Calculation: Define your Stop Loss and up to 5 Take Profit levels using Ticks for maximum precision. ✅ Toggleable TP Levels: You can enable or disable TP1 through TP5 individually to match your scaling-out strategy. ✅ Dynamic Labels: Automatically displays the level name (Entry, SL, TP) along with the exact price value on the right-side scale. ✅ Long/Short Toggle: Switch between buy and sell setups instantly with a single drop-down selection. How to use: Add the script to your chart. Open Settings and choose your Mode (LONG or SHORT). Use the Precision Crosshair icon next to "Price Entry" to pick your execution level directly from the chart. Adjust your Stop Loss and Profit Ticks. The tool will project your risk zones professionally without interfering with your technical analysis.
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MEC-Trader의
Swing FlowSwing Flow is a market structure indicator designed to identify and trade with the prevailing trend by tracking swing highs and swing lows. Based on the principle that markets trending higher print higher highs and higher lows while markets trending lower print lower highs and lower lows, the indicator automatically detects these pivot points and classifies the current structure as Bullish, Bearish, Contracting, or Expanding. When structure is confirmed bullish, the indicator calculates an invalidation level set 2% below the most recent higher low, providing a logical stop placement where the bullish thesis would be negated if price trades through it. A key feature is the Early Warning System, which alerts traders when price breaks above a prior swing high or below a prior swing low before the new pivot is officially confirmed. Because pivot detection requires several bars of confirmation, this early warning gives traders advance notice that structure may be shifting, allowing earlier entries with defined risk rather than waiting for lagging confirmation. When the early warning is active, the indicator displays the potential invalidation level and calculates the risk percentage from current price, helping traders assess whether the reward-to-risk ratio justifies an entry. The indicator marks CME gold open times with vertical lines, highlighting the 6 PM ET session opens that often bring increased liquidity and directional moves. Sunday opens are marked with thicker yellow lines to distinguish the weekly open from regular daily session opens. This feature is particularly useful for gold traders using PAXG as a crypto proxy or GLD in traditional brokerage accounts, though the indicator works on any asset with swing structure. The info table displays comprehensive market data including the current structure state, early warning status, last confirmed swing high and low with color coding to indicate whether each was higher or lower than its predecessor, the invalidation level and risk percentage, and buy zone status which activates when price approaches the higher low in bullish structure. Technical indicators include RSI with 5-zone color coding from oversold to overbought, ADX for trend strength, and directional movement indicators showing whether bulls or bears are dominant. Open interest analysis provides insight into positioning and leverage in crypto markets, displaying OI score with conviction levels, sentiment classification based on OI and price movement relationships, buildup risk assessment combining OI elevation with ATR compression, and leverage pressure scoring that synthesizes multiple factors into a single actionable metric. The final row shows 1-hour and daily 24-period EMAs with green or red backgrounds indicating whether price is above or below each level, providing quick trend confirmation across timeframes. The scoring bars at the top and bottom of the chart offer at-a-glance momentum and direction assessment. The RSI bar at top uses a 5-zone color scheme progressing from dark green in oversold territory through lime, white at neutral, pink, and maroon in overbought territory. The Directional bar at bottom combines the directional movement reading with ADX strength, displaying green tones when the bullish DI is dominant and red tones when bearish DI leads, with color intensity increasing as ADX indicates stronger trending conditions. Swing Flow is designed for traders who want to align with market structure rather than fight it, entering positions near logical support levels with predefined invalidation points that keep losses small when wrong while allowing profits to run when the structure thesis proves correct. The combination of structure detection, early warning alerts, comprehensive market data, and visual scoring bars provides everything needed to identify high-probability setups and manage risk effectively.
Pine Script® 인디케이터
ralis24의
4
Combined Advanced Blueprint + Hybrid Stop + GravityCombined Advanced Blueprint + Hybrid Stop + Gravity Overview This indicator is a comprehensive "Swiss Army Knife" trading system that combines the classic Traders Reality Blueprint (Moving Averages & Vector Zones) with advanced institutional volume detection (Gravity Squeeze & Sharks) and a Hybrid Trailing Stop for trade management. It is designed to identify institutional footprints, trend direction, supply/demand zones, and volatility contractions in a single, all-in-one overlay. 🚀 Key Features 1. Gravity Squeeze & Shark Detection (Institutional Volume) This module detects anomalies in volume and price action to identify where "Smart Money" is stepping in. Shark Icons (🦈): Appear when the Negative Volume Index (NVI) detects significant accumulation during low volatility periods. This often signals a "defense" of a price level by institutions. Shark Support (Blood) Zones: When a Shark is detected, a red box is drawn from the low of the candle. This represents an institutional "line in the sand." If price closes below this box, the zone is invalidated (broken). Gravity Squeeze (⚡): Indicates a contraction in volatility (ATR compression), suggesting an explosive move is imminent. Coils (🌀) & Hammers (🔨): Identifies specific price action patterns occurring on high relative volume. 2. The Blueprint Moving Averages Includes the standard Traders Reality moving average sequence to identify trend state and dynamic support/resistance. Red (8 EMA): Immediate trend. White (21 EMA): Short-term trend (The "Baseline"). Blue (34 EMA): Trend confirmation. Indigo (55 EMA) & Purple (89 EMA): Mid-term trend. Orange (50 SMA) & Dark Orange (200 SMA): Major institutional levels (Golden/Death Cross). Visual Crossovers: Arrows and shapes appear for 8/21 crosses, 8/34 crosses, and the 50/200 cross. 3. PVSRA (Price Volume Support Resistance Analysis) Colors trade bars based on volume relative to the average, highlighting hidden liquidity. Green/Red Bars: Volume is ≥ 200% of the average. (Climax action). Blue/Violet Bars: Volume is ≥ 150% of the average. Grey Bars: Average/Low volume. Vector Zones: Automatically plots zones based on these high-volume candles to show where significant business was transacted. 4. Hybrid Trailing Stop A volatility-based stop-loss system designed to keep you in the trend longer. Calculation: Uses a combination of ATR (Average True Range) and manually input Implied Volatility (IV) to calculate a safe distance from price. Visual: A Fuchsia line that trails behind price. When price closes across this line, the trend structure is considered broken. 5. Inflection Zones (Supply & Demand) Auto-Drawing: Identifies Swing Highs and Swing Lows to draw Supply (Blue) and Demand (Red) boxes. BOS (Break of Structure): When price breaks through a zone, the box is removed or converted, helping keep the chart clean. 6. Pivot Points & VWAP Pivots: Displays multitimeframe pivots (Daily, Weekly, Monthly, etc.) including Traditional, Fibonacci, and Camarilla calculations. VWAP: Includes Standard Deviation bands (1, 2, and 3 SD) anchored to Session, Week, Month, or even Earnings/Splits. 7. Keltner Channels & RSI Triggers Entry Signals: Plots circles on the chart when RSI enters extreme zones (Overbought/Oversold) while price is interacting with the Keltner Channel bands. 🛠 Settings & Configuration Gravity Squeeze & Sharks Enable: Toggle the overlay on/off. Min Volume: Set the threshold for volume analysis (Default: 300k). Max ADX: Filters out signals if the trend is already too exhausted. Inflection Zones Swing Length: Sensitivity of the swing high/low detection. History to Keep: How many historic zones to display before deleting old ones. Pivot Levels Timeframe: Auto-selects based on your chart, or force specific timeframes (e.g., Daily Pivots on a 15m chart). Type: Choose between Traditional, Fibonacci, Woodie, etc. Trailing Stop Multiplier: Adjust how "loose" or "tight" the stop is (Default: 1.5 ATR). IV %: Manually input the annual Implied Volatility for the asset for higher precision. 🎯 How to Trade (Strategy Ideas) 1. The Shark Defense: Look for a Shark Icon (🦈). Watch the red "Blood" box form. Long Entry: If price retests the box and holds (does not close below it), this is a high-probability buy zone. Stop Loss: A candle close below the red box. 2. The 8/21 & 8/34 Cross: Use the Arrows generated by the moving averages. Combine with Vector Candles: If you get a Bullish Cross (Up Arrow) immediately following a Green/Blue vector candle, the move is supported by volume. 3. The Squeeze Breakout: Look for the Squeeze Icon (⚡) indicating low volatility. Wait for the Hybrid Trailing Stop line to flip (e.g., price crosses above the Fuchsia line) to confirm the breakout direction. Alerts The script includes built-in alert conditions for automation: 8/21 Bullish/Bearish Cross 8/34 Bullish/Bearish Cross Credits: Core logic based on Traders Reality (Blueprint/PVSRA). Gravity logic adapted from standard institutional volume analysis. Compiled & Enhanced by Gemini.
Pine Script® 인디케이터
mph1nance의
DXY vs Small-Cap Divergence [v6]It creates a dedicated panel to monitor the "tug-of-war" between the US Dollar (DXY) and the Russell 2000 (IWM). As a swing trader, you are looking for Negative Correlation—specifically, the moment the DXY starts to fall while Small Caps maintain their strength. How to Interpret This on Your Desktop: Green Background: This highlights the exact bars where the DXY is dropping while the Russell 2000 is gaining ground. This can be your "Go" signal for the small caps that you are monitoring near pivots, prior levels, POC's, or value area highs or lows. The Green Line (Bottom of the oscillator): When the line hits -0.8, it means the two assets are moving in nearly perfect opposite directions. For a gold bounce and small-cap rally, you want to see this line deep in the green. The Red Line (Top of the oscillator): If this line stays near +0.8, it means the Dollar and Stocks are moving together. This usually indicates a "Liquidity Flush" where everything is being sold—stay cautious during these periods.
Pine Script® 인디케이터
papamiller13의
GCM Apex Predator AlgoTitle: GCM Apex Predator Algo Overview The GCM Apex Predator is a high-performance, multi-engine trading system designed for traders who demand precision and clarity. Whether you are a fast-paced scalper or a patient swing trader, this algorithm adapts to market conditions using a sophisticated "Apex Score" momentum engine combined with institutional-grade volume and trend filters. Key Features • Triple Engine Logic: Switch seamlessly between Scalper Mode (Fast), Trend Mode (Swing), or a Hybrid setup that captures both micro-moves and macro-trends. • Apex Score Momentum: A proprietary loop-based engine that calculates the "persistence" of price action. It filters out "fake" moves by ensuring momentum is backed by structural strength. • Institutional Filters: Includes built-in ADX Trend Power and Relative Volume filters to keep you out of "chop" and only in high-probability trades. • Dynamic Risk Management: Automatically calculates and draws Entry, Stop Loss (SL), and Take Profit (TP) zones using ATR-based volatility, giving you a professional "desk" feel. • Corporate Dashboard: A real-time HUD (Heads-Up Display) that monitors Trend Bias, ADX Power, Apex Momentum, and VWAP positioning at a glance. How to Use 1. Select Your Mode: Use the "Scalper Mode" for lower timeframes (1m, 5m) or "Trend Mode" for higher timeframes (1h, 4h). 2. The "Sniper" Signal: Look for the Gold Circle symbols. These represent "Sniper" entries where all engines (Trend, Volume, and Apex) align for a high-conviction move. 3. Market Structure: Pay attention to the dashed reversal lines. These project potential structural shifts based on fast-reversal HMA logic. Alerts This indicator is fully optimized for Any alert() function call. You can set one single alert to receive detailed notifications like: • 🎯 SNIPER LONG: BTCUSD @ 65000 • ⚡ SCALP BUY: EURUSD @ 1.0850 Disclaimer Trading involves significant risk. This tool is for educational and technical analysis purposes. Past performance does not guarantee future results.
Pine Script® 인디케이터
uniGram의
AI Smart Entry Pro v4 (AVINASH27)AI Smart Entry Pro v4 is a rule-based trading strategy designed to identify high-probability market entries using trend confirmation and momentum logic. This strategy is intended for educational and back-testing purposes only. It does not repaint and all signals are generated strictly on closed candles. Key Features: Works best in trending market conditions Uses predefined logic for entry and exit Suitable for intraday and scalping timeframes Designed for consistent risk-controlled trading No future data or repainting logic used Recommended Usage: Apply on liquid instruments (Forex, Indices, Gold, Crypto) Combine with proper risk management Always forward-test before live trading ⚠️ Disclaimer: This strategy does not guarantee profits. Trading involves risk, and past performance is not indicative of future results. Use at your own discretion.
Pine Script® 인디케이터
PastorAvinash_Kumar의
WaveTrend Detailed Dashboard (Fixed)Trend: Is the Green line currently above the Red line? (UP/DOWN) Age: How many candles ago did this crossover happen? (Freshness) Zero Level: Is the Green line currently above or below the Zero line? Direction: TREND UP ↗ (Green): The Green line is physically above the Red line. TREND DN ↘ (Red): The Green line is physically below the Red line. Age (Candles): This counts how many bars have passed since the crossover occurred. Gold Text: Means the cross happened very recently (3 bars or less). This is your "Fresh" signal. White Text: Means the trend is established and older. Zero Level: Above 0: The Green line is in positive territory. Below 0: The Green line is in negative territory.
Pine Script® 인디케이터
xcelteddy의
Risk Calculator Pro by GvdMRisk Calculator Pro - Professional position sizing tool for CFD and CME futures traders. Automatically calculates lot size or contracts based on your risk budget and stop distance. Features auto-detection of popular instruments (Gold, Silver, Oil, Indices), multiple entry modes (current price, manual, previous candle, swing points), and visual profit targets with customizable risk:reward ratios. Displays comprehensive risk table and price level lines with smart labels showing points/ticks and position size. Perfect for disciplined risk management across any timeframe.
Pine Script® 인디케이터
OdegosX의
Liqudity Magnets [Zofesu]Liquidity Magnets is a high-precision institutional-grade tool designed to identify where large market participants place their orders. Instead of looking at basic support and resistance, this indicator focuses on Liquidation Levels and Stop-Loss cluster s, which act as "magnets" for price action. 🧠 The Concept Markets move from one pocket of liquidity to another. Retail traders often place their stop-losses just above or below recent Swing Highs/Lows. Professional players and algorithms target these areas to fill their large orders (Stop-hunting) . This indicator uses a Multi-Timeframe (MTF) approach to detect these critical zones based on leverage psychology: 🧲 Yellow Lines (4%) : Near-term liquidity/stop-loss clusters. Common targets for intraday sweeps. 💰 Red/Green Lines (10%): Major liquidation zones. These represent areas where high-leverage positions (10x) face forced liquidations, often leading to massive trend exhaustion and reversals. 🛠️ How it works 📊 MTF Liquidity Projection: The indicator automatically projects levels from a higher timeframe (Default: 4h) to ensure you are looking at significant market structure. 🎯 Filtered Stop-Run Signals (▲/▼): Grey triangles appear only when the price successfully "sweeps" a high/low AND penetrates deep enough into the liquidity pool. This filters out market noise. 🌑 Stealth Bar Coloring: Candles turn black/dark when a sweep is in progress, providing a clear visual cue that the market is currently "hunting" liquidity. ⚙️ Settings Guide 🕒 Select TF: Choose the anchor timeframe for magnets (Recommended: 240 for 4h). 🔍 Lookback: Sets the period for detecting the most relevant Swing Highs and Lows. 📏 Line Length: Controls how many bars the magnet lines extend into the future. 📈 Signal Sensitivity %: * 0%: Shows every minor sweep. 100%: Only triggers if price reaches the 4% magnet line exactly. 🎨 Color Settings: Fully customizable colors to fit any chart theme (Dark/Light). 💡 Trading Strategy For the best results, look for the "Sweep & Reject" play: 1. Price enters a Magnet Line (Yellow or Red/Green). 2. A Stop-Run Triangle appears. 3. Wait for the price to reject the level and close back inside the previous range. ⚠️ Note This script uses dark bar-coloring for sweep detection. If you are using a Dark Theme, ensure your candle borders are visible or adjust the Barcolor settings in the script inputs. On TF-H4 you can also use H1, you will see the channel in which the price moves and hits the lines, it is recommended to watch green and red there. Good use on titles like gold, silver - significant movements. Experiment. For any questions or setup assistance, feel free to check my profile signature or better send me a private message here on TV!
Pine Script® 인디케이터
Zofesu의
High Breakout PRO - Huy Hoang Trader # High Breakout PRO - Huy Hoang Trader - Strategy Description ## 🚀 Overview **High Breakout PRO** is a professional-grade Trend Following strategy designed to capture major market moves while strictly managing risk. Built on the core philosophy of "Price Action Breakouts," this script enhances the classic Donchian Channel breakout method with modern risk management tools like the **Hybrid Exit** and **EMA Trend Filter**. This strategy is optimized for **Gold (XAUUSD)**, **Bitcoin (BTC)**, and **Major Stocks (AAPL, AMZN)** on **H4 and Daily** timeframes. ## 💎 Key Features 1. **Trend Filter (EMA):** Only takes long positions when the price is above the 200-period EMA. This filters out counter-trend noise and significantly improves winning probability. 2. **Hybrid Exit Mechanism ("Holy Grail"):** A unique dynamic trailing stop that combines: * **Price Structure:** Uses the lowest low of the last Y bars (Donchian Support). * **Volatility:** Uses ATR-based trailing (Chandelier Exit logic). * *Logic:* The system automatically chooses the **tighter** (higher) stop level between the two, ensuring you lock in profits rapidly during strong volatility while giving the trade room to breathe during accumulation. 3. **Professional Visuals:** A refined "Wealth & Earth" themes (Gold/Silver/Brown) specifically designed to reduce eye strain and provide clear, professional signal visibility without chart clutter. ## 🛠 Strategy Logic ### entry rules * **Breakout:** Price closes above the Highest High of the last `X` bars (Default: 20). * **Trend Confirmation:** Closing Price > EMA 200 (Configurable). ### Exit Rules * **Dynamic Stop Loss:** The trade is closed when price breaches the **Hybrid Trailing Stop**. * The Trailing Stop never moves down. It only moves up as price increases. * It effectively adapts to both slow-grinding trends and explosive spikes. ## ⚙️ Best Settings (Recommended) * **Timeframe:** H4 (Swing Trading) or Daily (Position Trading). * **Entry Period (X):** 20 * **Exit Period (Y):** 10 * **Trend Filter:** ON (EMA 200) * **Risk Management:** Hybrid Mode (ATR Multiplier 3.0) ## ⚠️ Disclaimer This strategy follows trends. It may experience drawdowns during choppy/sideways markets. Always use proper risk management (position sizing) and backtest on your specific asset before live trading. --- *Developed by Antigravity. Empowering traders with institutional-grade tools.* Contact for work: www.facebook.com
Pine Script™ 전략
ngohuyhoanghcm의
Adaptive EMA (Momentum Entry & Crash Protection)This script is the result of extensive backtesting to find the perfect balance between capturing high-volume momentum and protecting capital during market crashes. It is not just a standard EMA crossover; it is a fine-tuned trend-following system designed for maximum profit margins. 🚀 KEY OPTIMIZATIONS: 1. Adaptive Logic (Auto-Switching): The script automatically detects your timeframe and applies the most effective parameters: • Intraday (≤ 4H): Uses EMA 9 & 21. This classic setup is perfect for filtering noise in short-term trading. • Swing/Long-Term (> 4H): Uses EMA 7 & 14. *CRITICAL UPDATE:* After testing, the 7/14 combination proved to offer higher profit margins than the traditional 7/21. It reacts faster to major trend reversals, allowing you to lock in profits sooner before a dump. 2. Professional Visuals: • Fast Line (Gold - 1px): Represents the immediate momentum. • Slow Line (Deep Blue - 2px): Represents the baseline trend. • Glow Effect: A subtle white border ensures the lines remain visible even on dark charts. • Clean Chart Policy: Gradient background signals are included but *disabled by default* to keep your workspace clutter-free. You can enable them in the settings if you prefer visual zones. 💎 HOW TO TRADE: • Entry (Pump): When the Gold line crosses ABOVE the Blue line. This indicates a surge in volume and upward momentum. • Exit (Protection): When the Gold line crosses BELOW the Blue line. This is your signal to exit and protect your gains before the price collapses. No manual configuration is needed. Just add it to your chart, and it adapts instantly.
Pine Script® 인디케이터
andrewnguyen93의
Cross-Market Regime Scanner [BOSWaves]Cross-Market Regime Scanner - Multi-Asset ADX Positioning with Correlation Network Visualization Overview Cross-Market Regime Scanner is a multi-asset regime monitoring system that maps directional strength and trend intensity across correlated instruments through ADX-based coordinate positioning, where asset locations dynamically reflect their current trending versus ranging state and bullish versus bearish bias. Instead of relying on isolated single-asset trend analysis or static correlation matrices, regime classification, spatial positioning, and intermarket relationship strength are determined through ADX directional movement calculation, percentile-normalized coordinate mapping, and rolling correlation network construction. This creates dynamic regime boundaries that reflect actual cross-market momentum patterns rather than arbitrary single-instrument levels - visualizing trending assets in right quadrants when ADX strength exceeds thresholds, positioning ranging assets in left quadrants during consolidation, and incorporating correlation web topology to reveal which instruments move together or diverge during regime transitions. Assets are therefore evaluated relative to ADX-derived regime coordinates and correlation network position rather than conventional isolated technical indicators. Conceptual Framework Cross-Market Regime Scanner is founded on the principle that meaningful market insights emerge from simultaneous multi-asset regime awareness rather than sequential single-instrument analysis. Traditional trend analysis examines assets individually using separate chart windows, which often obscures the broader cross-market regime structure and correlation patterns that drive coordinated moves. This framework replaces isolated-instrument logic with unified spatial positioning informed by actual ADX directional measurements and correlation relationships. Three core principles guide the design: Asset positioning should be determined by ADX-based regime coordinates that reflect trending versus ranging state and directional bias simultaneously. Spatial mapping must normalize ADX values to place assets within consistent quadrant boundaries regardless of instrument volatility characteristics. Correlation network visualization reveals which assets exhibit coordinated behavior versus divergent regime patterns during market transitions. This shifts regime analysis from isolated single-chart monitoring into unified multi-asset spatial awareness with correlation context. Theoretical Foundation The indicator combines ADX directional movement calculation, coordinate normalization methodology, quadrant-based regime classification, and rolling correlation network construction. A Wilder's smoothing implementation calculates ADX, +DI, and -DI for each monitored asset using True Range and directional movement components. The ADX value relative to a configurable threshold determines X-axis positioning (ranging versus trending), while the difference between +DI and -DI determines Y-axis positioning (bearish versus bullish). Coordinate normalization caps values within fixed boundaries for consistent quadrant placement. Pairwise correlation calculations over rolling windows populate a network graph where line thickness and opacity reflect correlation strength. Five internal systems operate in tandem: Multi-Asset ADX Engine : Computes smoothed ADX, +DI, and -DI values for up to 8 configurable instruments using Wilder's directional movement methodology. Coordinate Transformation System : Converts ADX strength and directional movement into normalized X/Y coordinates with threshold-relative scaling and boundary capping. Quadrant Classification Logic : Maps coordinate positions to four distinct regime states—Trending Bullish, Trending Bearish, Ranging Bullish, Ranging Bearish—with color-coded zones. Historical Trail Rendering : Maintains rolling position history for each asset, drawing gradient-faded trails that visualize recent regime trajectory and velocity. Correlation Network Calculator : Computes pairwise return correlations across all enabled assets, rendering weighted connection lines in circular web topology with strength-based styling. This design allows simultaneous cross-market regime awareness rather than reacting sequentially to individual instrument signals. How It Works Cross-Market Regime Scanner evaluates markets through a sequence of multi-asset spatial processes: Data Request Processing : Security function retrieves high, low, and close values for up to 8 configurable symbols with lookahead offset to ensure confirmed bar data. ADX Calculation Per Asset : True Range computed from high-low-close relationships, directional movement derived from up-moves versus down-moves, smoothed via Wilder's method over configurable period. Directional Index Derivation : +DI and -DI calculated as smoothed directional movement divided by smoothed True Range, scaled to percentage values. Coordinate Transformation : X-axis position equals (ADX - threshold) * 2, capped between -50 and +50; Y-axis position equals (+DI - -DI), capped between -50 and +50. Quadrant Assignment : Positive X indicates trending (ADX > threshold), negative X indicates ranging; positive Y indicates bullish (+DI > -DI), negative Y indicates bearish. Trail History Management : Configurable-length position history maintains recent coordinates for each asset, rendering gradient-faded lines connecting sequential positions. Velocity Vector Calculation : 7-bar coordinate change converted to directional arrow overlays showing regime momentum and trajectory. Return Correlation Processing : Bar-over-bar returns calculated for each asset, pairwise correlations computed over rolling window. Network Graph Construction : Assets positioned in circular topology, correlation lines drawn between pairs exceeding threshold with thickness/opacity scaled by correlation strength, positive correlations solid green, negative correlations dashed red. Risk Regime Scoring : Composite score aggregates bullish risk-on assets (equities, crypto, commodities) minus bullish risk-off assets (gold, dollar, VIX), generating overall market risk sentiment with colored candle overlay. Together, these elements form a continuously updating spatial regime framework anchored in multi-asset momentum reality and correlation structure. Interpretation Cross-Market Regime Scanner should be interpreted as unified spatial regime boundaries with correlation context: Top-Right Quadrant (TREND ▲) : Assets positioned here exhibit ADX above threshold with +DI exceeding -DI - confirmed bullish trending conditions with directional conviction. Bottom-Right Quadrant (TREND ▼) : Assets positioned here exhibit ADX above threshold with -DI exceeding +DI - confirmed bearish trending conditions with directional conviction. Top-Left Quadrant (RANGE ▲) : Assets positioned here exhibit ADX below threshold with +DI exceeding -DI - ranging consolidation with bullish bias but insufficient trend strength. Bottom-Left Quadrant (RANGE ▼) : Assets positioned here exhibit ADX below threshold with -DI exceeding +DI - ranging consolidation with bearish bias but insufficient trend strength. Position Trails : Gradient-faded lines connecting recent coordinate history reveal regime trajectory - curved paths indicate regime rotation, straight paths indicate sustained directional conviction. Velocity Arrows : Directional vectors overlaid on current positions show 7-bar regime momentum - arrow length indicates speed of regime change, angle indicates trajectory direction. Correlation Web : Circular network graph positioned left of main quadrant map displays pairwise asset relationships - solid green lines indicate positive correlation (moving together), dashed red lines indicate negative correlation (diverging moves), line thickness reflects correlation strength magnitude. Asset Dots : Multi-layer glow effects with color-coded markers identify each asset on both quadrant map and correlation web-symbol labels positioned adjacent to current location. Regime Summary Bar : Vertical boxes on right edge display condensed regime state for each enabled asset - box background color reflects quadrant classification, border color matches asset identifier. Risk Regime Candles : Overlay candles on price chart colored by composite risk score - green indicates risk-on dominance (bullish equities/crypto exceeding bullish safe-havens), red indicates risk-off dominance (bullish gold/dollar/VIX exceeding bullish risk assets), gray indicates neutral balance. Quadrant positioning, trail trajectory, correlation network topology, and velocity vectors outweigh isolated single-asset readings. Signal Logic & Visual Cues Cross-Market Regime Scanner presents spatial positioning insights rather than discrete entry signals: Regime Clustering : Multiple assets congregating in same quadrant suggests broad market regime consensus - all assets in TREND ▲ indicates coordinated bullish momentum across instruments. Regime Divergence : Assets splitting across opposing quadrants reveals intermarket disagreement - equities in TREND ▲ while safe-havens in TREND ▼ suggests healthy risk-on environment. Quadrant Transitions : Assets crossing quadrant boundaries mark regime shifts - movement from left (ranging) to right (trending) indicates breakout from consolidation into directional phase. Trail Curvature Patterns : Sharp curves in position trails signal rapid regime rotation, straight trails indicate sustained directional conviction, loops indicate regime uncertainty with back-and-forth oscillation. Velocity Acceleration : Long arrows indicate rapid regime change momentum, short arrows indicate stable regime persistence, arrow direction reveals whether asset moving toward trending or ranging state. Correlation Breakdown Events : Previously strong correlation lines (thick, opaque) suddenly thinning or disappearing indicates relationship decoupling - often precedes major regime transitions. Correlation Inversion Signals : Assets shifting from positive correlation (solid green) to negative correlation (dashed red) marks structural market regime change - historically correlated assets beginning to diverge. Risk Score Extremes : Composite score reaching maximum positive (all risk-on bullish, all risk-off bearish) or maximum negative (all risk-on bearish, all risk-off bullish) marks regime conviction extremes. The primary value lies in simultaneous multi-asset regime awareness and correlation pattern recognition rather than isolated timing signals. Strategy Integration Cross-Market Regime Scanner fits within macro-aware and intermarket analysis approaches: Regime-Filtered Entries : Use quadrant positioning as directional filter for primary trading instrument - favor long setups when asset in TREND ▲ quadrant, short setups in TREND ▼ quadrant. Correlation Confluence Trading : Enter positions when target asset and correlated instruments occupy same quadrant - multiple assets in TREND ▲ provides conviction for long exposure. Divergence-Based Reversal Anticipation : Monitor for regime divergence between correlated assets - if historically aligned instruments split to opposite quadrants, anticipate mean-reversion or regime rotation. Breakout Confirmation via Cross-Asset Validation : Confirm primary instrument breakouts by verifying correlated assets simultaneously transitioning from ranging to trending quadrants. Risk-On/Risk-Off Positioning : Use composite risk score and safe-haven positioning to determine overall market environment - scale risk exposure based on risk regime dominance. Velocity-Based Timing : Enter during periods of high regime velocity (long arrows) when momentum carries assets decisively into new quadrants, avoid entries during low velocity regime uncertainty. Multi-Timeframe Regime Alignment : Apply higher-timeframe regime scanner to establish macro context, use lower-timeframe price action for entry timing within aligned regime structure. Correlation Web Pattern Recognition : Identify regime transitions early by monitoring correlation network topology changes - previously disconnected assets forming strong correlations suggests regime coalescence. Technical Implementation Details Core Engine : Wilder's smoothing-based ADX calculation with separate True Range and directional movement tracking per asset Coordinate Model : Threshold-relative X-axis scaling (trending versus ranging) with directional movement differential Y-axis (bullish versus bearish) Normalization System : Boundary capping at ±50 for consistent spatial positioning regardless of instrument volatility Trail Rendering : Rolling array-based position history with gradient alpha decay and width tapering Correlation Engine : Return-based pairwise correlation calculation over rolling window with configurable lookback Network Visualization : Circular topology with trigonometric positioning, weighted line rendering based on correlation magnitude Risk Scoring : Composite calculation aggregating directional states across classified risk-on and risk-off asset categories Performance Profile : Optimized for 8 simultaneous security requests with efficient array management and conditional rendering Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Micro-regime monitoring for intraday correlation shifts and short-term regime rotations 15 - 60 min : Intraday regime structure with meaningful ADX development and correlation stability 4H - Daily : Swing and position-level macro regime identification with sustained trend classification Weekly - Monthly : Long-term regime cycle tracking with structural correlation pattern evolution Suggested Baseline Configuration: ADX Period : 14 ADX Smoothing : 14 Trend Threshold : 25.0 Trail Length : 15 Correlation Period : 50 Min |Correlation| to Show Line : 0.3 Web Radius : 30 Show Quadrant Colors : Enabled Show Regime Summary Bar : Enabled Show Velocity Arrows : Enabled Show Correlation Web : Enabled These suggested parameters should be used as a baseline; their effectiveness depends on the selected assets' volatility profiles, correlation characteristics, and preferred spatial sensitivity, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Assets clustering too tightly : Decrease Trend Threshold (e.g., 20) to spread ranging/trending separation, or increase ADX Period for smoother ADX calculation reducing noise. Assets spreading too widely : Increase Trend Threshold (e.g., 30-35) to demand stronger ADX confirmation before classifying as trending, tightening quadrant boundaries. Trail too short to show trajectory : Increase Trail Length (20-25) to visualize longer regime history, revealing sustained directional patterns. Trail too cluttered : Decrease Trail Length (8-12) for cleaner visualization focusing on recent regime state, reducing visual complexity. Unstable ADX readings : Increase ADX Period and ADX Smoothing (18-21) for heavier smoothing reducing bar-to-bar regime oscillation. Sluggish regime detection : Decrease ADX Period (10-12) for faster response to directional changes, accepting increased sensitivity to noise. Too many correlation lines : Increase Min |Correlation| threshold (0.4-0.6) to display only strongest relationships, decluttering network visualization. Missing significant correlations : Decrease Min |Correlation| threshold (0.2-0.25) to reveal weaker but potentially meaningful relationships. Correlation too volatile : Increase Correlation Period (75-100) for more stable correlation measurements, reducing network line flickering. Correlation too stale : Decrease Correlation Period (30-40) to emphasize recent correlation patterns, capturing regime-dependent relationship changes. Velocity arrows too sensitive : Modify 7-bar lookback in code to longer period (10-14) for smoother velocity representation, or increase magnitude threshold for arrow display. Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions. Performance Characteristics High Effectiveness: Macro-aware trading approaches requiring cross-market regime context for directional bias Intermarket analysis strategies monitoring correlation breakdowns and regime divergences Portfolio construction decisions requiring simultaneous multi-asset regime classification Risk management frameworks using safe-haven positioning and risk-on/risk-off scoring Trend-following systems benefiting from cross-asset regime confirmation before entry Mean-reversion strategies identifying regime extremes via clustering patterns and correlation stress Reduced Effectiveness: Single-asset focused strategies not incorporating cross-market context in decision logic High-frequency trading approaches where multi-security request latency impacts execution Markets with consistently weak correlations where network topology provides limited insight Extremely low volatility environments where ADX remains persistently below threshold for all assets Instruments with erratic or unreliable ADX characteristics producing unstable coordinate positioning Integration Guidelines Confluence : Combine with BOSWaves structure, volume analysis, or primary instrument technical indicators for entry timing within aligned regime Quadrant Respect : Trust signals occurring when primary trading asset occupies appropriate quadrant for intended trade direction Correlation Context : Prioritize setups where target asset exhibits strong correlation with instruments in same regime quadrant Divergence Awareness : Monitor for safe-haven assets moving opposite to risk assets - regime divergence validates directional conviction Velocity Confirmation : Favor entries during periods of strong regime velocity indicating decisive momentum rather than regime oscillation Risk Score Alignment : Scale position sizing and exposure based on composite risk score - larger positions during clear risk-on/risk-off environments Trail Pattern Recognition : Use trail curvature to identify regime stability (straight) versus rotation (curved) versus uncertainty (looped) Multi-Timeframe Structure : Apply higher-timeframe regime scanner for macro filter, lower-timeframe for tactical positioning within established regime Disclaimer Cross-Market Regime Scanner is a professional-grade multi-asset regime visualization and correlation analysis tool. It uses ADX-based coordinate positioning and rolling correlation calculation but does not predict future regime transitions or guarantee relationship persistence. Results depend on selected assets' characteristics, parameter configuration, correlation stability, and disciplined interpretation. Security request timing may introduce minor latency in real-time data retrieval. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, volume context, fundamental macro awareness, and comprehensive risk management.
Pine Script® 인디케이터
BOSWaves의
Swing IA Cockpit [v2]//@version=5 indicator("Swing IA Cockpit ", overlay=true, max_bars_back=500) // === INPUTS === mode = input.string("Pullback", title="Entry Mode", options= ) corrLen = input.int(60, "Correlation Window Length") scoreWeightBias = input.float(0.6, title="Weight: Bias", minval=0, maxval=1) scoreWeightTiming = 1.0 - scoreWeightBias // === INDICATEURS H1 === ema200_H1 = ta.ema(close, 200) ema50_H1 = ta.ema(close, 50) rsi_H1 = ta.rsi(close, 14) donchianHigh = ta.highest(high, 20) donchianLow = ta.lowest(low, 20) atr_H1 = ta.atr(14) avgATR_H1 = ta.sma(atr_H1, 50) body = math.abs(close - open) avgBody = ta.sma(body, 20) // === H4 / D1 === close_H4 = request.security(syminfo.tickerid, "240", close) ema200_H4 = request.security(syminfo.tickerid, "240", ta.ema(close, 200)) rsi_H4 = request.security(syminfo.tickerid, "240", ta.rsi(close, 14)) atr_H4 = request.security(syminfo.tickerid, "240", ta.atr(14)) avgATR_H4 = request.security(syminfo.tickerid, "240", ta.sma(ta.atr(14), 50)) close_D1 = request.security(syminfo.tickerid, "D", close) ema200_D1 = request.security(syminfo.tickerid, "D", ta.ema(close, 200)) // === CORRÉLATIONS === dxy = request.security("TVC:DXY", "60", close) spx = request.security("SP:SPX", "60", close) gold = request.security("OANDA:XAUUSD", "60", close) corrDXY = ta.correlation(close, dxy, corrLen) corrSPX = ta.correlation(close, spx, corrLen) corrGold = ta.correlation(close, gold, corrLen) // === LOGIQUE BIAIS === biasLong = close_D1 > ema200_D1 and close_H4 > ema200_H4 and rsi_H4 >= 55 biasShort = close_D1 < ema200_D1 and close_H4 < ema200_H4 and rsi_H4 <= 45 bias = biasLong ? "LONG" : biasShort ? "SHORT" : "NEUTRAL" // === LOGIQUE TIMING === isBreakoutLong = mode == "Breakout" and high > donchianHigh and close > ema200_H1 and rsi_H1 > 50 isBreakoutShort = mode == "Breakout" and low < donchianLow and close < ema200_H1 and rsi_H1 < 50 var float breakoutPrice = na var int breakoutBar = na if isBreakoutLong or isBreakoutShort breakoutPrice := close breakoutBar := bar_index validPullbackLong = mode == "Pullback" and not na(breakoutBar) and bar_index <= breakoutBar + 3 and close > ema50_H1 and low <= ema50_H1 validPullbackShort = mode == "Pullback" and not na(breakoutBar) and bar_index <= breakoutBar + 3 and close < ema50_H1 and high >= ema50_H1 timingLong = isBreakoutLong or validPullbackLong timingShort = isBreakoutShort or validPullbackShort // === SCORES === scoreTrend = (close_D1 > ema200_D1 ? 20 : 0) + (close_H4 > ema200_H4 ? 20 : 0) scoreMomentumBias = (rsi_H4 >= 55 or rsi_H4 <= 45) ? 20 : 10 scoreCorr = 0 scoreCorr += biasLong and corrDXY < 0 ? 10 : 0 scoreCorr += biasLong and corrSPX > 0 ? 10 : 0 scoreCorr += biasLong and corrGold >= 0 ? 10 : 0 scoreCorr += biasShort and corrDXY > 0 ? 10 : 0 scoreCorr += biasShort and corrSPX < 0 ? 10 : 0 scoreCorr += biasShort and corrGold <= 0 ? 10 : 0 scoreCorr := math.min(scoreCorr, 30) scoreVolBias = atr_H4 > avgATR_H4 ? 10 : 0 scoreBias = scoreTrend + scoreMomentumBias + scoreCorr + scoreVolBias scoreStruct = (timingLong or timingShort) ? 40 : 0 scoreMomentumTiming = rsi_H1 > 50 or rsi_H1 < 50 ? 25 : 10 scoreTrendH1 = (close > ema50_H1 and ema50_H1 > ema200_H1) or (close < ema50_H1 and ema50_H1 < ema200_H1) ? 20 : 10 scoreVolTiming = atr_H1 > avgATR_H1 ? 15 : 5 scoreTiming = scoreStruct + scoreMomentumTiming + scoreTrendH1 + scoreVolTiming scoreTotal = scoreBias * scoreWeightBias + scoreTiming * scoreWeightTiming scoreLong = biasLong ? scoreTotal : 0 scoreShort = biasShort ? scoreTotal : 0 delta = scoreLong - scoreShort scoreExtMomentum = (rsi_H4 > 55 ? 10 : 0) scoreExtVol = atr_H4 > avgATR_H4 ? 10 : 0 scoreExtStructure = body > avgBody ? 10 : 5 scoreExtCorr = (scoreCorr > 15 ? 10 : 5) scoreExtension = scoreExtMomentum + scoreExtVol + scoreExtStructure + scoreExtCorr // === VERDICT FINAL === verdict = "NO TRADE" verdict := bias == "NEUTRAL" or math.abs(delta) < 10 or scoreTotal < 70 ? "NO TRADE" : scoreTotal < 80 ? "WAIT" : scoreTotal >= 85 and math.abs(delta) >= 20 and scoreExtension >= 60 ? "TRADE A+" : "TRADE" // === TABLE COCKPIT === var table cockpit = table.new(position.top_right, 2, 9, border_width=1) if bar_index % 5 == 0 table.cell(cockpit, 0, 0, "Bias", bgcolor=color.gray) table.cell(cockpit, 1, 0, bias) table.cell(cockpit, 0, 1, "ScoreBias", bgcolor=color.gray) table.cell(cockpit, 1, 1, str.tostring(scoreBias)) table.cell(cockpit, 0, 2, "ScoreTiming", bgcolor=color.gray) table.cell(cockpit, 1, 2, str.tostring(scoreTiming)) table.cell(cockpit, 0, 3, "ScoreTotal", bgcolor=color.gray) table.cell(cockpit, 1, 3, str.tostring(scoreTotal)) table.cell(cockpit, 0, 4, "ScoreLong", bgcolor=color.gray) table.cell(cockpit, 1, 4, str.tostring(scoreLong)) table.cell(cockpit, 0, 5, "ScoreShort", bgcolor=color.gray) table.cell(cockpit, 1, 5, str.tostring(scoreShort)) table.cell(cockpit, 0, 6, "Delta", bgcolor=color.gray) table.cell(cockpit, 1, 6, str.tostring(delta)) table.cell(cockpit, 0, 7, "Extension", bgcolor=color.gray) table.cell(cockpit, 1, 7, str.tostring(scoreExtension)) table.cell(cockpit, 0, 8, "Verdict", bgcolor=color.gray) table.cell(cockpit, 1, 8, verdict, bgcolor=verdict == "TRADE A+" ? color.green : verdict == "TRADE" ? color.lime : verdict == "WAIT" ? color.orange : color.red) // === ALERTS === alertcondition(verdict == "TRADE A+" and bias == "LONG", title="TRADE A+ LONG", message="TRADE A+ signal long") alertcondition(verdict == "TRADE A+" and bias == "SHORT", title="TRADE A+ SHORT", message="TRADE A+ signal short") alertcondition(verdict == "NO TRADE", title="NO TRADE / RANGE", message="Marché confus ou neutre — pas de trade")
Pine Script® 인디케이터
matpi2278의
LDEF SENS Loss Dependent Error Filter Dominance Regime SwitchCAPITALCOM:GOLD LDEF SENS stands for Loss Dependent Error Filter. This indicator is a dominance regime filter with an adaptive switch boundary. It separates the market into two main states. Directional tradeable tape (trend and impulse conditions) Balanced noisy tape (higher fakeout probability) It also provides a dominance direction bias (bull vs bear) and an adaptive boundary you can use as a market switch signal. What you see in the indicator pane (bottom panel) Main line (0 to 100): dominance sensitivity score Line color meaning Green: bullish dominance (L greater than R) Red: bearish dominance (R greater than L) Gray: low strength or mixed tape Purple line: adaptive regime boundary (moving threshold) Violet shading: regime ON (tradeable conditions) Key idea: height equals strength, color equals direction, violet shading equals regime state. How to read the three images Image A - Regime ON in a trending environment Where to look Price panel: left to middle shows a clean up move Indicator panel: directly below the same time window Violet band is present for a sustained stretch Main line stays high and mostly green What it means When the violet band stays ON, the tape is directional enough for trend following setups to have higher quality. This is not an entry signal. It is an environment filter. Image B - Switch boundary and state changes Where to look Indicator panel: focus on the purple adaptive line and the main line crossing relative to it Watch the moment the main line moves above the purple line. In the same region, violet shading turns ON. What it means The purple line is the adaptive regime boundary. Cross above: regime switches toward directional tape (state change confirmation) Cross below: regime fades and chop risk returns Image C - Direction semantics inside a regime Where to look Indicator panel: inside violet shaded regions Main line is green during bullish dominance (L greater than R) Main line is red during bearish dominance (R greater than L) What it means Violet answers: is this a tradeable regime Green or red answers: which side is dominating Together, they provide a filter plus bias framework. Practical usage Regime filter Prefer setups only when the violet band is ON Reduce size or tighten criteria when the violet band is OFF Direction bias Prefer longs when the line is green Prefer shorts when the line is red Treat gray as no edge or mixed tape Switch boundary analysis Cross above purple: treat as regime shift confirmation Cross below purple: treat as regime cooling off and higher chop risk Limitations This is a regime and dominance tool, not a standalone entry generator. Regime confirmation can be late by design, especially after shocks. Use it with structure, liquidity, and risk management.
Pine Script® 인디케이터
TheWannaBeQuant의
5
Sonic R 89 - NY buy LionLee 079 228 1999//@version=5 indicator("Sonic R 89 - NY SL Custom Fixed", overlay=true, max_lines_count=500) // --- 0. TÙY CHỈNH THÔNG SỐ --- group_session = "Cài đặt Phiên Giao Dịch (Giờ New York)" use_session = input.bool(true, "Chỉ giao dịch theo khung giờ", group=group_session) session_time = input.session("0800-1200", "Khung giờ NY 1", group=group_session) session_time2 = input.session("1300-1700", "Khung giờ NY 2", group=group_session) max_trades_per_session = input.int(1, "Số lệnh tối đa/mỗi khung giờ", minval=1, group=group_session) group_risk = "Quản lý Rủi ro (Dashboard)" risk_usd = input.float(100.0, "Số tiền rủi ro mỗi lệnh ($)", minval=1.0, group=group_risk) group_sl_custom = "Cấu hình Stop Loss (SL)" sl_mode = input.string("Dragon", "Chế độ SL", options= , group=group_sl_custom) lookback_x = input.int(5, "Số nến (X) cho Swing SL", minval=1, group=group_sl_custom) group_htf = "Lọc Đa khung thời gian (MTF)" htf_res = input.timeframe("30", "Chọn khung HTF", group=group_htf) group_sonic = "Cấu hình Sonic R" vol_mult = input.float(1.5, "Đột biến Volume", minval=1.0) max_waves = input.int(4, "Ưu tiên n nhịp đầu", minval=1) trade_cd = input.int(5, "Khoảng cách lệnh (nến)", minval=1) group_tp = "Quản lý SL/TP & Dòng kẻ" rr_tp1 = input.float(1.0, "TP1 (RR)", step=0.1) rr_tp2 = input.float(2.0, "TP2 (RR)", step=0.1) rr_tp3 = input.float(3.0, "TP3 (RR)", step=0.1) rr_tp4 = input.float(4.0, "TP4 (RR)", step=0.1) line_len = input.int(15, "Chiều dài dòng kẻ", minval=1) // --- 1. KIỂM TRA PHIÊN & HTF --- is_in_sess1 = not na(time(timeframe.period, session_time, "America/New_York")) is_in_sess2 = not na(time(timeframe.period, session_time2, "America/New_York")) is_in_session = use_session ? (is_in_sess1 or is_in_sess2) : true var int trades_count = 0 is_new_session = is_in_session and not is_in_session if is_new_session trades_count := 0 htf_open = request.security(syminfo.tickerid, htf_res, open, lookahead=barmerge.lookahead_on) htf_close = request.security(syminfo.tickerid, htf_res, close, lookahead=barmerge.lookahead_on) is_htf_trend = htf_close >= htf_open ? 1 : -1 // --- 2. TÍNH TOÁN CHỈ BÁO --- ema89 = ta.ema(close, 89) ema34H = ta.ema(high, 34) ema34L = ta.ema(low, 34) atr = ta.atr(14) avgVol = ta.sma(volume, 20) slope89 = (ema89 - ema89 ) / atr hasSlope = math.abs(slope89) > 0.12 isSqueezed = math.abs(ta.ema(close, 34) - ema89) < (atr * 0.5) var int waveCount = 0 if not hasSlope waveCount := 0 newWave = hasSlope and ((low <= ema34H and close > ema34H) or (high >= ema34L and close < ema34L)) if newWave and not newWave waveCount := waveCount + 1 // --- 3. LOGIC VÀO LỆNH --- isMarubozu = math.abs(close - open) / (high - low) > 0.8 highVol = volume > avgVol * vol_mult buyCondition = is_in_session and (trades_count < max_trades_per_session) and waveCount <= max_waves and is_htf_trend == 1 and (isMarubozu or highVol) and close > ema34H and low >= ema89 and (slope89 > 0.1 or isSqueezed ) and close > open sellCondition = is_in_session and (trades_count < max_trades_per_session) and waveCount <= max_waves and is_htf_trend == -1 and (isMarubozu or highVol) and close < ema34L and high <= ema89 and (slope89 < -0.1 or isSqueezed ) and close < open // --- 4. QUẢN LÝ LỆNH --- var float last_entry = na var float last_sl = na var float last_tp1 = na var float last_tp2 = na var float last_tp3 = na var float last_tp4 = na var string last_type = "NONE" var int lastBar = 0 trigger_buy = buyCondition and (bar_index - lastBar > trade_cd) trigger_sell = sellCondition and (bar_index - lastBar > trade_cd) // --- 5. TÍNH TOÁN SL & LOT SIZE --- float contract_size = 1.0 if str.contains(syminfo.ticker, "XAU") or str.contains(syminfo.ticker, "GOLD") contract_size := 100 // Logic tính SL linh hoạt float swing_low = ta.lowest(low, lookback_x) float swing_high = ta.highest(high, lookback_x) float temp_sl_calc = na if trigger_buy temp_sl_calc := (sl_mode == "Dragon") ? ema34L : swing_low if trigger_sell temp_sl_calc := (sl_mode == "Dragon") ? ema34H : swing_high float sl_dist_calc = math.abs(close - temp_sl_calc) float calc_lots = (sl_dist_calc > 0) ? (risk_usd / (sl_dist_calc * contract_size)) : 0 if (trigger_buy or trigger_sell) trades_count := trades_count + 1 lastBar := bar_index last_type := trigger_buy ? "BUY" : "SELL" last_entry := close last_sl := temp_sl_calc float riskAmt = math.abs(last_entry - last_sl) last_tp1 := trigger_buy ? last_entry + (riskAmt * rr_tp1) : last_entry - (riskAmt * rr_tp1) last_tp2 := trigger_buy ? last_entry + (riskAmt * rr_tp2) : last_entry - (riskAmt * rr_tp2) last_tp3 := trigger_buy ? last_entry + (riskAmt * rr_tp3) : last_entry - (riskAmt * rr_tp3) last_tp4 := trigger_buy ? last_entry + (riskAmt * rr_tp4) : last_entry - (riskAmt * rr_tp4) // Vẽ dòng kẻ line.new(bar_index, last_entry, bar_index + line_len, last_entry, color=color.new(color.gray, 50), width=2) line.new(bar_index, last_sl, bar_index + line_len, last_sl, color=color.red, width=2, style=line.style_dashed) line.new(bar_index, last_tp1, bar_index + line_len, last_tp1, color=color.green, width=1) line.new(bar_index, last_tp2, bar_index + line_len, last_tp2, color=color.lime, width=1) line.new(bar_index, last_tp3, bar_index + line_len, last_tp3, color=color.aqua, width=1) line.new(bar_index, last_tp4, bar_index + line_len, last_tp4, color=color.blue, width=2) // KÍCH HOẠT ALERT() string alert_msg = (trigger_buy ? "BUY " : "SELL ") + syminfo.ticker + " at " + str.tostring(close) + " | SL Mode: " + sl_mode + " | Lot: " + str.tostring(calc_lots, "#.##") + " | SL: " + str.tostring(last_sl, format.mintick) alert(alert_msg, alert.freq_once_per_bar_close) // --- 6. CẢNH BÁO CỐ ĐỊNH --- alertcondition(trigger_buy, title="Sonic R BUY Alert", message="Sonic R BUY Signal Detected") alertcondition(trigger_sell, title="Sonic R SELL Alert", message="Sonic R SELL Signal Detected") // --- 7. DASHBOARD & PLOT --- var table sonic_table = table.new(position.top_right, 2, 10, bgcolor=color.new(color.black, 70), border_width=1, border_color=color.gray) if barstate.islast table.cell(sonic_table, 0, 0, "NY SESSION", text_color=color.white), table.cell(sonic_table, 1, 0, last_type, text_color=(last_type == "BUY" ? color.lime : color.red)) table.cell(sonic_table, 0, 1, "SL Mode:", text_color=color.white), table.cell(sonic_table, 1, 1, sl_mode, text_color=color.orange) table.cell(sonic_table, 0, 2, "Trades this Sess:", text_color=color.white), table.cell(sonic_table, 1, 2, str.tostring(trades_count) + "/" + str.tostring(max_trades_per_session), text_color=color.yellow) table.cell(sonic_table, 0, 3, "LOT SIZE:", text_color=color.orange), table.cell(sonic_table, 1, 3, str.tostring(calc_lots, "#.##"), text_color=color.orange) table.cell(sonic_table, 0, 4, "Entry:", text_color=color.white), table.cell(sonic_table, 1, 4, str.tostring(last_entry, format.mintick), text_color=color.yellow) table.cell(sonic_table, 0, 5, "SL:", text_color=color.white), table.cell(sonic_table, 1, 5, str.tostring(last_sl, format.mintick), text_color=color.red) table.cell(sonic_table, 0, 6, "TP1:", text_color=color.gray), table.cell(sonic_table, 1, 6, str.tostring(last_tp1, format.mintick), text_color=color.green) table.cell(sonic_table, 0, 7, "TP2:", text_color=color.gray), table.cell(sonic_table, 1, 7, str.tostring(last_tp2, format.mintick), text_color=color.lime) table.cell(sonic_table, 0, 8, "TP3:", text_color=color.gray), table.cell(sonic_table, 1, 8, str.tostring(last_tp3, format.mintick), text_color=color.aqua) table.cell(sonic_table, 0, 9, "TP4:", text_color=color.gray), table.cell(sonic_table, 1, 9, str.tostring(last_tp4, format.mintick), text_color=color.blue) plot(ema89, color=slope89 > 0.1 ? color.lime : slope89 < -0.1 ? color.red : color.gray, linewidth=2) p_high = plot(ema34H, color=color.new(color.blue, 80)) p_low = plot(ema34L, color=color.new(color.blue, 80)) fill(p_high, p_low, color=color.new(color.blue, 96)) plotshape(trigger_buy, "BUY", shape.triangleup, location.belowbar, color=color.green, size=size.small) plotshape(trigger_sell, "SELL", shape.triangledown, location.abovebar, color=color.red, size=size.small) bgcolor(isSqueezed ? color.new(color.yellow, 92) : na) bgcolor(not is_in_session ? color.new(color.gray, 96) : na)
Pine Script® 인디케이터
EnercSamwiltonua의
SENTINEL CORE by Pipsomnian🛡️ Sentinel Core — Learning Mode (Structure & Probability Engine) by Pipsomnian Sentinel Core is the core structure and probability framework within the Sentinel ecosystem. It is designed to help traders move beyond binary signals and learn how to grade market environments based on structure, momentum, and session quality. This tool does not predict price. It evaluates context. 🎯 What Sentinel Core Is Sentinel Core is an EMA-structured learning and decision-grading indicator built to train: • Trend alignment • Pullback behavior • Market structure continuation • Session discipline (London & New York) • Probability stacking Instead of asking “Is there a signal?”, Sentinel Core trains you to ask: “How strong is this setup?” 🧠 The Scoring Concept Each potential setup is evaluated using multiple structural components: • EMA trend alignment • Pullback to value • Strong candle confirmation • Market structure continuation • Active trading session The result is a setup quality grade: • A+ → Full structural alignment • B → Strong but incomplete alignment Lower-quality environments are intentionally ignored. This encourages patience, selectivity, and discipline. 🟢 Who Sentinel Core Is For Sentinel Core is designed for traders who: • Already understand basic EMA structure • Want fewer, higher-quality setups • Trade session-based markets (especially Gold) • Value discipline over frequency • Want to develop judgment, not dependency 🚫 What Sentinel Core Is NOT Sentinel Core is not: • A signal service • An automated strategy • A promise of profitability • A replacement for risk management • A shortcut to consistency Execution, risk control, and psychology remain your responsibility. ⏱️ Recommended Use • Timeframe: 5-Minute • Markets: XAUUSD (Gold), major FX, liquid indices • Sessions: London & New York EMAs are used for structure and context, not prediction. 🧭 Position in the Sentinel Framework • Sentinel Lite — Learn structure & discipline • Sentinel Core — Grade probability & judgment • Sentinel A+ — Refine timing & precision • Sentinel Gold Standard — Execute with control ⚠️ Educational use only. No financial advice. — Pipsomnian
Pine Script® 인디케이터
Pips0mnian의
Institutional Structure [Clean Pro]Institutional Structure — Script Explanation This script is designed to map institutional market behavior using high-timeframe structure, not retail noise. It focuses on where smart money acts, not on frequent signals. 🔹 1. High-Timeframe Support & Resistance (HTF S/R) The script identifies major structural highs and lows using a higher lookback period. Purpose: Defines where institutions previously distributed or accumulated Acts as natural decision zones Filters out low-quality intraday levels Why it matters: Institutions trade from key HTF levels, not random support/resistance. 🔹 2. Equilibrium (50% Mean Price) The equilibrium line represents the fair price between HTF high and low. How it’s used: Below equilibrium → discount zone (buy interest) Above equilibrium → premium zone (sell interest) Professional insight: Smart money prefers buying discounts and selling premiums, not chasing price. 🔹 3. Market Structure Shift (MSS) Instead of frequent BOS labels, the script detects true directional shifts. Bullish MSS: Price closes above previous HTF high Bearish MSS: Price closes below previous HTF low Why MSS over BOS: MSS confirms control change Reduces false signals Aligns with institutional execution logic 🔹 4. Liquidity Sweep Detection (Wick-Based) The script identifies stop-hunt behavior using wick rejection logic. Buy-side liquidity: Wick above HTF high, but close back below Sell-side liquidity: Wick below HTF low, but close back above Meaning: Stops were triggered, but price failed to accept → smart money absorption 🔹 5. Fair Value Gap (FVG) – Refined Imbalance Fair Value Gaps highlight inefficient price movement. Bullish FVG: Price leaves an upside imbalance Bearish FVG: Price leaves a downside imbalance How pros use it: As reaction zones, not entry signals Best combined with liquidity + MSS 🔍 How Everything Works Together The script is context-based, not signal-based: 1️⃣ HTF structure defines the battlefield 2️⃣ Liquidity is taken (stop hunts) 3️⃣ MSS confirms direction 4️⃣ FVG offers precision 5️⃣ Equilibrium filters bias This creates high-probability trade environments, not overtrading. 📌 Best Practices (Professional Use) Timeframes: 1H / 4H / Daily Avoid lower TF noise Trade only after liquidity is taken Use FVG as confirmation, not trigger Respect equilibrium bias 🎯 Summary ✔ Clean institutional logic ✔ No clutter, no spam ✔ HTF-driven decisions ✔ Liquidity-first mindset ✔ Designed for BTC, Gold & FX 🧠 Trade where institutions trade — not where indicators flash.
Pine Script® 인디케이터
Mentor_Michael03의
High Breakout PRO Huy Hoang Trader High Breakout PRO - Strategy Description ## 🚀 Overview **High Breakout PRO** is a professional-grade Trend Following strategy designed to capture major market moves while strictly managing risk. Built on the core philosophy of "Price Action Breakouts," this script enhances the classic Donchian Channel breakout method with modern risk management tools like the **Hybrid Exit** and **EMA Trend Filter**. This strategy is optimized for **Gold (XAUUSD)**, **Bitcoin (BTC)**, and **Major Stocks (AAPL, AMZN)** on **H4 and Daily** timeframes. ## 💎 Key Features 1. **Trend Filter (EMA):** Only takes long positions when the price is above the 200-period EMA. This filters out counter-trend noise and significantly improves winning probability. 2. **Hybrid Exit Mechanism ("Holy Grail"):** A unique dynamic trailing stop that combines: * **Price Structure:** Uses the lowest low of the last Y bars (Donchian Support). * **Volatility:** Uses ATR-based trailing (Chandelier Exit logic). * *Logic:* The system automatically chooses the **tighter** (higher) stop level between the two, ensuring you lock in profits rapidly during strong volatility while giving the trade room to breathe during accumulation. 3. **Professional Visuals:** A refined "Wealth & Earth" themes (Gold/Silver/Brown) specifically designed to reduce eye strain and provide clear, professional signal visibility without chart clutter. ## 🛠 Strategy Logic ### entry rules * **Breakout:** Price closes above the Highest High of the last `X` bars (Default: 20). * **Trend Confirmation:** Closing Price > EMA 200 (Configurable). ### Exit Rules * **Dynamic Stop Loss:** The trade is closed when price breaches the **Hybrid Trailing Stop**. * The Trailing Stop never moves down. It only moves up as price increases. * It effectively adapts to both slow-grinding trends and explosive spikes. ## ⚙️ Best Settings (Recommended) * **Timeframe:** H4 (Swing Trading) or Daily (Position Trading). * **Entry Period (X):** 20 * **Exit Period (Y):** 10 * **Trend Filter:** ON (EMA 200) * **Risk Management:** Hybrid Mode (ATR Multiplier 3.0) ## ⚠️ Disclaimer This strategy follows trends. It may experience drawdowns during choppy/sideways markets. Always use proper risk management (position sizing) and backtest on your specific asset before live trading. --- *Developed by Huy Hoang Trader. Empowering traders with institutional-grade tools.* Contact for work: www.facebook.com
Pine Script™ 전략
ngohuyhoanghcm의
Volume Weighted Intra Bar LR KurtosisThis indicator analyzes market character by decomposing total Excess Kurtosis ("Fat Tails") of a SINGLE BAR into four distinct, interpretable components based on a Linear Regression model. Key Features: 1. **Intra-Bar LR Kurtosis Decomposition:** For each bar on the chart, the indicator analyzes the underlying price action on a smaller timeframe ('Intra-Bar Timeframe'). It fits a Linear Regression line through the intra-bar data to decompose the 4th Moment: - **Trend Kurtosis (Gold):** Peakedness of the regression line itself. High values indicate the price path within the bar moves in sudden jumps, steps, or gaps (discontinuous path). - **Residual Kurtosis (Red):** Excess Kurtosis of the noise around the regression line. Captures "Hidden Tail Risk" or extreme outliers within the bar relative to the trend. - **Within-Bar Kurtosis (Blue):** Fat tails derived from the microstructure of individual intra-bar candles. - **Interaction Variance (Dark Grey):** The comovement of variance and mean deviations (volatility clustering relative to trend). - **Interaction Skewness (Darker Grey):** The comovement of skewness and mean deviations (asymmetry relative to trend). 2. **Visual Decomposition Logic:** Total Excess Kurtosis is the primary metric displayed. Since statistical moments are additive, this indicator calculates the *exact* Total Kurtosis and partitions the columns based on the Law of Total Moments. 3. **Dual Display Modes:** The indicator offers two modes to visualize this decomposition: - **Absolute Mode:** Plots the *total* kurtosis as a stacked column chart. Stacking logic groups components to ensure visual clarity of the magnitude. - **Relative Mode:** Plots the direct *contribution ratio* (proportion) of each component relative to the total sum, ideal for identifying the dominant driver (Trend vs. Noise). 4. **Calculation Options:** - **Normalization:** An optional 'Normalize' setting transforms inputs into logarithmic space, analyzing the kurtosis of *returns* rather than absolute prices. - **Volume Weighting:** An option (`Volume weighted`) applies volume weighting to all regression and moment calculations, emphasizing high-participation moves. 5. **Kurtosis Cycle Analysis:** - **Pivot Detection:** Includes a built-in pivot detector that identifies significant turning points (peaks/valleys) in the *total* kurtosis line. (Note: This is only visible in 'Absolute Mode'). - **Flexible Pivot Algorithms:** Supports various underlying mathematical models for pivot detection provided by the core library. 6. **Note on Confirmation (Lag):** Pivot signals are confirmed using a lookback method. A pivot is only plotted *after* the `Pivot Right Bars` input has passed, which introduces an inherent lag. 7. **Multi-Timeframe (MTF) Capability:** - **MTF Analysis Lines:** The entire intra-bar analysis can be run on a higher timeframe (using the `Timeframe` input), with standard options to handle gaps (`Fill Gaps`) and prevent repainting (`Wait for...`). - **Limitation:** The Pivot detection (`Calculate Pivots`) is **disabled** if a Higher Timeframe (HTF) is selected. 8. **Integrated Alerts:** Includes comprehensive alerts for: - Kurtosis magnitude (High Positive / High Negative). - Character changes (Trend Jumps vs. Noise Outliers). - Total Kurtosis pivot (High/Low) detection. **Caution: Real-Time Data Behavior (Intra-Bar Repainting)** This indicator uses high-resolution intra-bar data. As a result, the values on the **current, unclosed bar** (the real-time bar) will update dynamically as new intra-bar data arrives. This behavior is normal and necessary for this type of analysis. Signals should only be considered final **after the main chart bar has closed.** --- **DISCLAIMER** 1. **For Informational/Educational Use Only:** This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset. 2. **Use at Your Own Risk:** All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk. 3. **No Guarantee of Performance:** Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability. 4. **No Liability:** The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator. 5. **Signals Are Not Recommendations:** The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
Pine Script® 인디케이터
AustrianTradingMachine의
Volume Weighted Intra Bar KurtosisThis indicator analyzes market sentiment by providing a detailed view of Excess Kurtosis ("Fat Tails"). It uses data from a lower, intra-bar timeframe to separate the total kurtosis of a single bar into distinct, interpretable components. Key Features: 1. **Intra-Bar Kurtosis Decomposition:** For each bar on the chart, the indicator analyzes the underlying price action on a smaller timeframe ('Intra-Bar Timeframe'). Unlike Variance, the Fourth Central Moment (Kurtosis) decomposes into three parts: - **Between-Bar Kurtosis (Gold):** Peakedness of the price path *between* the intra-bar candles. High values indicate that the macro movement happened in jumps or gaps rather than a smooth progression. - **Within-Bar Kurtosis (Blue):** Fat tails derived from the microstructure (extreme wicks) *inside* the intra-bar candles. - **Interaction Variance (Dark Grey):** The comovement of variance and mean deviations (volatility clustering relative to trend). - **Interaction Skewness (Darker Grey):** The comovement of skewness and mean deviations (asymmetry relative to trend). 2. **Visual Decomposition Logic:** Total Excess Kurtosis is the primary metric displayed. Since Kurtosis coefficients are not linearly additive, this indicator calculates the *exact* Total Kurtosis and partitions the columns based on the additive Fourth Moment Decomposition (`M4Tot = M4Btw + M4Wtn + M4Int`). 3. **Dual Display Modes:** The indicator offers two modes to visualize this information: - **Absolute Mode:** Plots the *total* kurtosis as a stacked column chart, showing the *absolute magnitude* of tail risk and the contribution of each component. - **Relative Mode:** Plots the components as a 100% stacked column chart (scaled from 0 to 1), focusing purely on the *energy ratio* of the components. 4. **Calculation Options:** - **Normalization:** An optional 'Normalize' setting calculates an **Exponential Regression Curve** (log-space), making the analysis suitable for comparing assets with different scales (e.g., BTC vs EURUSD). - **Volume Weighting:** An option (`Volume weighted`) applies volume weighting to all mean and moment calculations. 5. **Kurtosis Cycle Analysis:** - **Pivot Detection:** Includes a built-in pivot detector that identifies significant turning points (peaks/valleys) in the *total* kurtosis line. (Note: This is only visible in 'Absolute Mode'). - **Flexible Pivot Algorithms:** Supports various underlying mathematical models for pivot detection provided by the core library. 6. **Note on Confirmation (Lag):** Pivot signals are confirmed using a lookback method. A pivot is only plotted *after* the `Pivot Right Bars` input has passed, which introduces an inherent lag. 7. **Multi-Timeframe (MTF) Capability:** - **MTF Analysis Lines:** The entire intra-bar analysis can be run on a higher timeframe (using the `Timeframe` input), with standard options to handle gaps (`Fill Gaps`) and prevent repainting (`Wait for...`). - **Limitation:** The Pivot detection (`Calculate Pivots`) is **disabled** if a Higher Timeframe (HTF) is selected. 8. **Integrated Alerts:** Includes alerts for: - Kurtosis magnitude (High Positive / High Negative). - Kurtosis character changes/emerging/fading. - Total Kurtosis pivot (High/Low) detection. **Caution: Real-Time Data Behavior (Intra-Bar Repainting)** This indicator uses high-resolution intra-bar data. As a result, the values on the **current, unclosed bar** (the real-time bar) will update dynamically as new intra-bar data arrives. This behavior is normal and necessary for this type of analysis. Signals should only be considered final **after the main chart bar has closed.** --- **DISCLAIMER** 1. **For Informational/Educational Use Only:** This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset. 2. **Use at Your Own Risk:** All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk. 3. **No Guarantee of Performance:** Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability. 4. **No Liability:** The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator. 5. **Signals Are Not Recommendations:** The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
Pine Script® 인디케이터
AustrianTradingMachine의