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Compare - Oscillator vs BTC momentumI've made a simple indicator to compare the momentum of a trading pair against the momentum of BTC to the dollar. I use it to see how a pair is affected by BTC's momentum... I wouldnt use it to trade off alone, but it can be a useful tool alongside other indicators. The time range can be adjusted, but I wouldnt reccomend setting it to anything over 12M, or under 1W.... as I'm not sure if it would work. Any feedback is welcome! This is an idea I had after looking at a wonderful visualisation made by BarclayJames, link below: www.tradingview.com
Pine Script®指標
由Biffy提供
4
VS Score [SpiritualHealer117]An experimental indicator that uses historical prices and readings of technical indicators to give the probability that stock and crypto prices will be in a certain range on the next close. This indicator may be helpful for options traders or for traders who want to see the probability of a move. It classifies returns into five categories: Extreme Rise - Over 2 standard deviations above normal returns Rise - Between 0.5 standard deviations and 2 standard deviations above normal returns Flat - Falling in the range of +/- 0.5 standard deviations of normal returns Fall - Between 0.5 standard deviations and 2 standard deviations below normal returns Extreme Fall - Over 2 standard deviations below normal returns It is an adaptive probability model, which trains on the previous 1000 data points, and is calculated by creating probability vectors for the current reading of the PPO, MA, volume histogram, and previous return, and combining them into one probability vector.
Pine Script®指標
由Scalpalytics提供
3
3D Institutional Battlefield [SurgeGuru]Professional Presentation: 3D Institutional Flow Terrain Indicator Overview The 3D Institutional Flow Terrain is an advanced trading visualization tool that transforms complex market structure into an intuitive 3D landscape. This indicator synthesizes multiple institutional data points—volume profiles, order blocks, liquidity zones, and voids—into a single comprehensive view, helping you identify high-probability trading opportunities. Key Features 🎥 Camera & Projection Controls Yaw & Pitch: Adjust viewing angles (0-90°) for optimal perspective Scale Controls: Fine-tune X (width), Y (depth), and Z (height) dimensions Pro Tip: Increase Z-scale to amplify terrain features for better visibility 🌐 Grid & Surface Configuration Resolution: Adjust X (16-64) and Y (12-48) grid density Visual Elements: Toggle surface fill, wireframe, and node markers Optimization: Higher resolution provides more detail but requires more processing power 📊 Data Integration Lookback Period: 50-500 bars of historical analysis Multi-Source Data: Combine volume profile, order blocks, liquidity zones, and voids Weighted Analysis: Each data source contributes proportionally to the terrain height How to Use the Frontend 💛 Price Line Tracking (Your Primary Focus) The yellow price line is your most important guide: Monitor Price Movement: Track how the yellow line interacts with the 3D terrain Identify Key Levels: Watch for these critical interactions: Order Blocks (Green/Red Zones): When yellow price line enters green zones = Bullish order block When yellow price line enters red zones = Bearish order block These represent institutional accumulation/distribution areas Liquidity Voids (Yellow Zones): When yellow price line enters yellow void areas = Potential acceleration zones Voids indicate price gaps where minimal trading occurred Price often moves rapidly through voids toward next liquidity pool Terrain Reading: High Terrain Peaks: High volume/interest areas (support/resistance) Low Terrain Valleys: Low volume areas (potential breakout zones) Color Coding: Green terrain = Bullish volume dominance Red terrain = Bearish volume dominance Purple = Neutral/transition areas 📈 Volume Profile Integration POC (Point of Control): Automatically marks highest volume level Volume Bins: Adjust granularity (10-50 bins) Height Weight: Control how much volume affects terrain elevation 🏛️ Order Block Detection Detection Length: 5-50 bar lookback for block identification Strength Weighting: Recent blocks have greater impact on terrain Candle Body Option: Use full candles or body-only for block definition 💧 Liquidity Zone Tracking Multiple Levels: Track 3-10 key liquidity zones Buy/Sell Side: Different colors for bid/ask liquidity Strength Decay: Older zones have diminishing terrain impact 🌊 Liquidity Void Identification Threshold Multiplier: Adjust sensitivity (0.5-2.0) Height Amplification: Voids create significant terrain depressions Acceleration Zones: Price typically moves quickly through void areas Practical Trading Application Bullish Scenario: Yellow price line approaches green order block terrain Price finds support in elevated bullish volume areas Terrain shows consistent elevation through key levels Bearish Scenario: Yellow price line struggles at red order block resistance Price falls through liquidity voids toward lower terrain Bearish volume peaks dominate the landscape Breakout Setup: Yellow price line consolidates in flat terrain Minimal resistance (low terrain) in projected direction Clear path toward distant liquidity zones Pro Tips Start Simple: Begin with default settings, then gradually customize Focus on Yellow Line: Your primary indicator of current price position Combine Timeframes: Use the same terrain across multiple timeframes for confluence Volume Confirmation: Ensure terrain peaks align with actual volume spikes Void Anticipation: When price enters voids, prepare for potential rapid movement Order Blocks & Voids Architecture Order Blocks Calculation Trigger: Price breaks fractal swing points Bullish OB: When close > swing high → find lowest low in lookback period Bearish OB: When close < swing low → find highest high in lookback period Strength: Based on price distance from block extremes Storage: Global array maintains last 50 blocks with FIFO management Liquidity Voids Detection Trigger: Price gaps exceeding ATR threshold Bull Void: Low - high > (ATR200 × multiplier) Bear Void: Low - high > (ATR200 × multiplier) Validation: Close confirms gap direction Storage: Global array maintains last 30 voids Key Design Features Real-time Updates: Calculated every bar, not just on last bar Global Persistence: Arrays maintain state across executions FIFO Management: Automatic cleanup of oldest entries Configurable Sensitivity: Adjustable lookback periods and thresholds Scientific Testing Framework Hypothesis Testing Primary Hypothesis: 3D terrain visualization improves detection of institutional order flow vs traditional 2D charts Testable Metrics: Prediction Accuracy: Does terrain structure predict future support/resistance? Reaction Time: Faster identification of key levels vs conventional methods False Positive Reduction: Lower rate of failed breakouts/breakdowns Control Variables Market Regime: Trending vs ranging conditions Asset Classes: Forex, equities, cryptocurrencies Timeframes: M5 to H4 for intraday, D1 for swing Volume Conditions: High vs low volume environments Data Collection Protocol Terrain Features to Quantify: Slope gradient changes at price inflection points Volume peak clustering density Order block terrain elevation vs subsequent price action Void depth correlation with momentum acceleration Control Group: Traditional support/resistance + volume profile Experimental Group: 3D Institutional Flow Terrain Statistical Measures Signal-to-Noise Ratio: Terrain features vs random price movements Lead Time: Terrain formation ahead of price confirmation Effect Size: Performance difference between groups (Cohen's d) Statistical Power: Sample size requirements for significance Validation Methodology Blind Testing: Remove price labels from terrain screenshots Have traders identify key levels from terrain alone Measure accuracy vs actual price action Backtesting Framework: Automated terrain feature extraction Correlation with future price reversals/breakouts Monte Carlo simulation for significance testing Expected Outcomes If hypothesis valid: Significant improvement in level prediction accuracy (p < 0.05) Reduced latency in institutional level identification Higher risk-reward ratios on terrain-confirmed trades Research Questions: Does terrain elevation reliably indicate institutional interest zones? Are liquidity voids statistically significant momentum predictors? Does multi-timeframe terrain analysis improve signal quality? How does terrain persistence correlate with level strength? LuxAlgo BigBeluga hapharmonic
Pine Script®指標
由SurgeGuru提供
1
Dual FUT/Spot price with next monthly expiryThis Pine Script dashboard indicator is specifically designed for pair trading strategies in Indian futures markets (NSE). Let me break down how it facilitates pair trading: Core Pair Trading Concept The script monitors two correlated stocks simultaneously (Symbol A and Symbol B), comparing their: Spot prices vs Futures prices Current month futures vs Next month futures Premium/discount relationships Key Pair Trading Features 1. Dual Symbol Monitoring symbolA = "NSE:TCS" (Default) symbolB = "NSE:INFY" (Default) Allows traders to watch two stocks in the same sector (like TCS and Infosys in IT) to identify relative value opportunities. 2. Basis Analysis for Each Stock The indicator calculates the basis (difference between futures and spot): Price Difference: FUT - SPOT Premium/Discount %: ((FUT - SPOT) / SPOT) × 100 This helps identify when one stock's futures are relatively more expensive than the other's. 3. Multi-Expiry View Near Month Futures (1!): Current active contract Next Month Futures (2!): Upcoming contract This enables calendar spread analysis within each stock and helps anticipate rollover effects. 4. Comparative Table The detailed table displays side-by-side: Symbol Spot Price Near Future Near Diff (%)Next Monthly Next Diff (%)Lot SizeTCS₹3,500₹3,520+20 (+0.57%)₹3,535+35 (+1.00%)125INFY₹1,450₹1,455+5 (+0.34%)₹1,460+10 (+0.69%)600 5. Lot Size Integration Critical for position sizing in pair trades - the indicator fetches actual contract lot sizes, enabling proper hedge ratio calculations. Pair Trading Strategies Enabled Strategy 1: Basis Divergence Trading When TCS futures trade at +0.8% premium and INFY at +0.2% Trade: Short TCS futures, Long INFY futures (betting on convergence) The indicator highlights these differences with color-coded cells Strategy 2: Calendar Spread Arbitrage Compare near month vs next month premium for each stock If TCS shows wider calendar spread than INFY, potential arbitrage exists Trade the relative calendar spread difference Strategy 3: Premium/Discount Reversal Monitor which stock moves from premium to discount (or vice versa) Color indicators (green/red) make this immediately visible Enter pairs when relative premium relationships normalize Strategy 4: Lot-Adjusted Pair Trading Use lot size data to create market-neutral positions Example: If TCS lot = 125 and INFY lot = 600 Ratio = 600/125 = 4.8:1 for rupee-neutral positioning Visual Trading Cues Green cells: Futures at premium (contango) Red cells: Futures at discount (backwardation) Purple values: Next month contracts Yellow highlights: Spot prices Practical Pair Trading Example Scenario: Both stocks in same sector, historically correlated Normal state: Both show +0.5% premium Divergence: TCS jumps to +1.2%, INFY stays at +0.5% Trade Signal: Short TCS futures (expensive) Long INFY futures (relatively cheap) Exit: When premiums converge back to similar levels Hedge ratio: Use lot sizes to maintain proper exposure balance Advantages for Pair Traders ✓ Single-screen monitoring of both legs ✓ Real-time basis calculations eliminate manual math ✓ Multi-timeframe view (near + next month) ✓ Automatic lot size fetching for position sizing ✓ Visual alerts through color coding ✓ Percentage normalization for easy comparison This indicator essentially transforms raw price data into actionable pair trading intelligence by highlighting relative value discrepancies between correlated assets in the futures market. Enjoy!!
Pine Script®指標
由kingshukghosh71提供
Advanced Correlation Monitor📊 Advanced Correlation Monitor - Pine Script v6 🎯 What does this indicator do? Monitors real-time correlations between 13 different asset pairs and alerts you when historically strong correlations break, indicating potential trading opportunities or changes in market dynamics. 🚀 Key Features ✨ Multi-Market Monitoring 7 Forex Pairs (GBPUSD/DXY, EURUSD/GBPUSD, etc.) 6 Index/Stock Pairs (SPY/S&P500, DAX/NASDAQ, TSLA/NVDA, etc.) Fully configurable - change any pair from inputs 📈 Dual Correlation Analysis Long Period (90 bars): Identifies historically strong correlations Short Period (6 bars): Detects recent breakdowns Pearson Correlation using Pine Script v6 native functions 🎨 Intuitive Visualization Real-time table with 6 information columns Color coding: Green (correlated), Red (broken), Gray (normal) Visual states: 🟢 OK, 🔴 BROKEN, ⚫ NORMAL 🚨 Smart Alert System Only alerts previously correlated pairs (>80% historical) Detects breakdowns when short correlation <80% Consolidated alert with all affected pairs 🛠️ Flexible Configuration Adjustable Parameters: 📅 Periods: Long (30-500), Short (2-50) 🎯 Threshold: 50%-99% (default 80%) 🎨 Table: Configurable position and size 📊 Symbols: All pairs are configurable Default Pairs: FOREX: INDICES/STOCKS: - GBPUSD vs DXY • SPY vs S&P500 - EURUSD vs GBPUSD • DAX vs S&P500 - EURUSD vs DXY • DAX vs NASDAQ - USDCHF vs DXY • TSLA vs NVDA - GBPUSD vs USDCHF • MSFT vs NVDA - EURUSD vs USDCHF • AAPL vs NVDA - EURUSD vs EURCAD 💡 Practical Use Cases 🔄 Pairs Trading Detects when strong correlations break for: Statistical arbitrage Mean reversion trading Divergence opportunities 🛡️ Risk Management Identifies when "safe" assets start moving independently: Portfolio diversification Smart hedging Regime change detection 📊 Market Analysis Understand underlying market structure: Forex/DXY correlations Tech sector rotation Regional market disconnection 🎓 Results Interpretation Reading Example: EURUSD vs DXY: -98.57% → -98.27% | 🟢 OK └─ Perfect negative correlation maintained (EUR rises when DXY falls) TSLA vs NVDA: 78.12% → 0% | ⚫ NORMAL └─ Lost tech correlation (divergence opportunity) Trading Signals: 🟢 → 🔴: Broken correlation = Possible opportunity Large difference: Indicates correlation tension Multiple breaks: Market regime change
Pine Script®指標
由didaz提供
Super EMA PrismThis script implements the Binary Trade Logic (BTL) algorithm to calculate two distinct scores that range from 0 to 7. One score is calculated assigning a power of 2 weight to the positive sign of 3 Phi^3 distant Moving Average (MA) slopes. The other score is calculated assigning a power of 2 weight to the sign of the difference between the price and the value of 3 Phi^3 distant Moving Average (MA). For the first score, hereafter called as the angle score (AS), the largest MA slope positive sign receives weight 4, the middle length MA slope positive sign receives weight 2 and the shortest MA slope positive sign receives weight 1. The positive sign of an MA is defined as 1 if the slope of the MA is positive and 0, otherwise. Therefore, for MAs 305, 72 and 17, if slope(MA305) > 0, slope(MA72) < 0 and slope(MA17) > 0, then score will be 4*1 + 2*0 + 1*1 = 5. Up to my knowledge, this score was first proposed by Bo Williams and named by him as Prisma. For the second score, hereafter called as the value score (VS), if the price > largest MA, it receives weight 4. If the price > the middle length MA, it receives weight 2 and if the price > the the shortest MA, it receives weight 1. Therefore, for MAs 305, 72 and 17, if price < MA305, price > MA72 and price > MA17, then score will be 4*0 + 2*1 + 1*1 = 3. Up to my knowledge, this score was first proposed by Bo Williams and named by him as Prisma. Both AS and VS are calculated for Phi^3 lengths (610, 144, 34) and for Phi^3/2 lengths (305, 72, 17). The scores of the same kind calculated for each set of length are combined multiplying the Phi^3 length score by 10 and adding with with the Phi^3/2 score, therefore providing a 2 digit score ranging from 0 to 77. For instance, if we have AS(610, 144, 34) = 7 and AS(305, 72, 17) = 5, we have AS=75. At the same time, if we have VS(610, 144, 34) = 6 and VS(305, 72, 17) = 4, we have VS=64. VS score is plotted by default in black, but it can be on white for dark themes. AS is plotted with the color of the longest MA used. Chart background is colored according to the range of values for AS and VS, checked in the following order: if AS >= 13 and VS <= 13 then back color = red if AS >= 13 or VS <= 13 then back color = orange if AS >= 64 and VS >= 64 then back color = green if AS >= 64 or VS >= 64 then back color = blue otherwise back color = none (white o black)
Pine Script®指標
由luyikaibr提供
Cross-Correlation Lead/Lag AnalyzerCross-Correlation Lead/Lag Analyzer (XCorr) Discover which instrument moves first with advanced cross-correlation analysis. This indicator analyzes the lead/lag relationship between any two financial instruments using rolling cross-correlation at multiple time offsets. Perfect for pairs trading, market timing, and understanding inter-market relationships. Key Features: Universal compatibility - Works with any two symbols (stocks, futures, forex, crypto, commodities) Multi-timeframe analysis - Automatically adjusts lag periods based on your chart timeframe Real-time correlation table - Shows current correlation values for all lag scenarios Visual lead/lag detection - Color-coded plots make it easy to spot which instrument leads Smart "Best" indicator - Automatically identifies the strongest relationship How to Use: Set your symbols in the indicator settings (default: NQ1! vs RTY1!) Adjust correlation length (default: 20 periods for smooth but responsive analysis) Watch the colored lines: • Red/Orange: Symbol 2 leads Symbol 1 by 1-2 periods • Blue: Instruments move simultaneously • Green/Purple: Symbol 1 leads Symbol 2 by 1-2 periods Check the table for exact correlation values and the "Best" relationship Interpreting Results: Correlation > 0.7: Strong positive relationship Correlation 0.3-0.7: Moderate relationship Correlation < 0.3: Weak/no relationship Highest line indicates the optimal timing relationship Popular Use Cases: Index Futures : NQ vs ES, RTY vs IWM Sector Rotation : XLF vs XLK, QQQ vs SPY Commodities : GC vs SI, CL vs NG Currency Pairs : EURUSD vs GBPUSD Crypto : BTC vs ETH correlation analysis Technical Notes: Cross-correlation measures linear relationships between two time series at different time lags. This implementation uses Pearson correlation with adjustable periods, calculating correlations from -2 to +2 period offsets to detect leading/lagging behavior. Perfect for quantitative analysts, pairs traders, and anyone studying inter-market relationships.
Pine Script®指標
由public_username_twice提供
Ichimoku Power Indicator# Ichimoku Power Indicator ## Overview The Ichimoku Power Indicator is an advanced tool that combines the traditional Ichimoku Cloud system with a unique power ranking mechanism. This indicator provides traders with a comprehensive view of market trends and potential reversal points, all while quantifying the strength of bullish and bearish signals. ## Key Features 1. **Full Ichimoku Cloud Visualization:** Displays all components of the Ichimoku Cloud system, including Conversion Line (Tenkan-sen), Base Line (Kijun-sen), Leading Span A and B (Kumo), and Lagging Span (Chikou Span). 2. **Power Ranking System:** Calculates and displays a bullish and bearish power score based on 11 different Ichimoku-derived conditions. 3. **Real-time Updates:** Power scores are updated in real-time as market conditions change. 4. **Easy-to-Read Display:** A clear, color-coded table shows the current bullish and bearish power scores. 5. **Customizable Parameters:** Allows adjustment of key Ichimoku settings to suit different trading styles and timeframes. ## How It Works The indicator evaluates 11 different conditions derived from Ichimoku Cloud components: 1. Cloud color 2. Price position relative to the cloud 3. Tenkan-sen vs Kijun-sen 4. Price vs Tenkan-sen 5. Price vs Kijun-sen 6. Tenkan-sen vs Cloud 7. Kijun-sen vs Cloud 8. Chikou Span vs Cloud 9. Chikou Span vs Tenkan-sen 10. Chikou Span vs Kijun-sen 11. Chikou Span vs Price Each bullish condition adds a point to the bullish power score, while each bearish condition adds a point to the bearish power score. The maximum score for each is 11. ## Interpretation - Higher bullish scores suggest stronger upward trends or potential bullish reversals. - Higher bearish scores indicate stronger downward trends or potential bearish reversals. - When scores are close, it may indicate a period of consolidation or uncertainty. ## Use Cases - Trend Confirmation: Use in conjunction with price action to confirm the strength of current trends. - Reversal Detection: Watch for changes in power scores as early indicators of potential trend reversals. - Entry and Exit Signals: High power scores can be used to identify optimal entry or exit points. - Market Analysis: Gain a quick overview of market conditions across multiple assets or timeframes. ## Note This indicator is designed to complement your existing trading strategy. Always use it in conjunction with other forms of analysis and proper risk management techniques. Experiment with different timeframes and settings to find the configuration that best suits your trading style and the assets you trade. Happy trading!
Pine Script®指標
由atakhadivi提供