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Tribulus & Ginseng PowerWhat is Tribulus & Ginseng Power? Tribulus & Ginseng Power is an advanced inter-market macro strategy engine designed to identify institutional trend reversals and liquidity sweeps in high-volatility financial markets. Rather than analyzing an asset in isolation, this algorithm cross-examines live telemetry from three critical pillars of the crypto ecosystem simultaneously to confirm institutional dominance before executing order signals. How the Multiverse Matrix Core Works: The script acts as a command center analyzing three independent algorithmic engines: The Main Asset Engine (M): Evaluates the selected chart using specialized swing detection, price action anomalies (Sushi Rolls), and premium kernel smoothing processes (Monalisa and UT Bot matrices) to find mathematical market exhaustion. The Crypto Total Market Cap Engine (T): Requests live structural data behind the scenes from CRYPTOCAP:TOTAL to track whether global macro capital flow supports the localized trend breakout. The Bitcoin Dominance Engine (D): Interrogates CRYPTOCAP:BTC.D to identify where global risk-on or risk-off sentiment is clustering (Bitcoin vs. Altcoins). The Signal Breakdown Matrix: By analyzing macro matrix alignments, the indicator prints institutional-tier alerts: 💎 PERFECT L: Global capital flows are expanding (TOTAL bullish), Bitcoin dominance matches, and the local chart confirms a bottom. High-probability premium bullish trigger. 🚀 ALT L (Altcoin Rally): Local price points upward while TOTAL cap rises and BTC.D drops, capturing the exact momentum shift where money floods into high-beta altcoins. 🩸 CRASH S: Direct macro distribution model. Major capitals are exiting the ecosystem while charts break local liquidity floors. ⚡ EARLY L / S (Early Macro Alignment): Fires instantly when the global macro telemetry matrices align before the local price reflects it, offering professional early entries before the momentum candle arrives. Optimal Environments & Parameters: Premium Assets: Highly volatile majors (BTC, ETH, high-cap layer-1 protocols) and major indices (NAS100, SPX). Ideal Timeframes: Curated natively for 1-Hour (1h) and 4-Hour (4h) charts for long-form matrix confirmation. Can be scaled down to 15-Minute (15m) charts for intra-day trading. Automation Ready: Configured with a stateful position lifecycle manager fully optimized for WunderTrading, 3Commas, or private server webhook routing. If a counter-signal is triggered, the system automatically executes a Close-First, Open-Next alert sequence to prevent cross-order jams on the exchange.
Penunjuk Pine Script®
oleh lisabyco
Volatility Hull Ribbon [BackQuant]Volatility Hull Ribbon Overview Volatility Hull Ribbon is a trend-following overlay built from a Hull-style moving average that replaces traditional volume weighting with volatility weighting . Instead of weighting price by traded volume, this indicator weights price by the absolute True Range of each bar, meaning bars with larger range expansion have more influence on the final trend estimate. The goal is to create a smoother but responsive trend line that pays more attention to bars where the market actually moved with force. It then plots this volatility-weighted Hull structure as either a clean line or a ribbon-style band, with gradient fill, candle coloring, and long/short flip markers. At a high level, the indicator does three things: Builds a volatility-weighted moving average using True Range as the weighting source. Applies Hull-style lag reduction to produce a faster trend-following curve. Visualizes trend direction using slope, ribbon fill, candles, and flip signals. Core idea Most moving averages treat each bar equally or weight only by time. That means a quiet candle and a high-range expansion candle can have similar influence depending on the MA type. Volatility Hull Ribbon takes a different approach: Bars with larger True Range are treated as more important. Bars with smaller True Range have less influence. Recent bars are also weighted more heavily than older bars. This creates a trend estimate that responds more strongly when the market expands, while remaining smoother during lower-energy movement. What “volatility-weighted” means here The custom weighting function uses: Price source Absolute True Range A decreasing time weight For each bar inside the lookback: Weighted price contribution = source * abs(True Range ) * recency weight Weight contribution = abs(True Range ) * recency weight Then: Volatility-weighted average = weighted price sum / weighted True Range sum So price movement on wide-range bars matters more than price movement on quiet bars. Why True Range is used True Range captures more than just high-low movement. It accounts for gaps and previous close displacement. This makes it a broader volatility proxy than simple candle range. Using True Range as the weight means the filter gives more importance to bars where: Range expanded, Price displaced aggressively, Volatility increased, Market participation likely intensified. This is useful because strong trend moves often occur during volatility expansion, not during quiet drift. Hull-style construction The indicator then applies a Hull-style transformation to the volatility-weighted average. The structure is: VWHMA = VWMA_TR( 2 * VWMA_TR(src, len / 2) - VWMA_TR(src, len), sqrt(len) ) Where VWMA_TR means the custom True-Range-weighted moving average. This follows the same logic as the classic Hull Moving Average: Use a faster half-length average. Use a slower full-length average. Subtract the lagging component. Smooth the result with sqrt(length). The difference is that every smoothing step is volatility-weighted instead of standard weighted-average based. Why this matters A classic Hull Moving Average is already designed to reduce lag. This version modifies the internal weighting so the curve becomes more sensitive to volatility-backed price movement . That means: Large expansion bars can pull the filter faster. Weak low-range chop has less effect. Trend changes during strong movement can be reflected more clearly. Trend detection Trend direction is based on the slope of the VWHMA: Bullish when VWHMA > VWHMA Bearish when VWHMA < VWHMA This is a simple but effective regime definition: Rising volatility-weighted Hull = bullish trend pressure. Falling volatility-weighted Hull = bearish trend pressure. The script uses this slope state to color: The main line, The ribbon fill, Optional candles, Signal markers. Ribbon mode When “Plot as Band?” is enabled, the script creates a second line: onebar_off = WMA(VWHMA , 10) This is a delayed and smoothed version of the VWHMA. The area between the current VWHMA and this offset line becomes the ribbon. Interpretation: Ribbon expansion shows separation between current trend structure and its delayed reference. Ribbon compression shows trend slowing or flattening. A clean flip in the ribbon often coincides with trend transition. The ribbon is not a volatility band. It is a trend displacement ribbon built from the difference between the current VWHMA and its delayed smoothed version. Gradient fill logic The fill is directional: If VWHMA is above the offset line, fill intensity is stronger near the VWHMA and fades toward the offset. If VWHMA is below the offset line, the gradient reverses. This creates a cleaner visual than a flat fill because it emphasizes the active side of the ribbon. In practice: Strong bright ribbon = trend line leading the delayed reference. Faded/narrow ribbon = weaker separation. Ribbon reversal = trend pressure has shifted. Signal logic Signals are generated when the VWHMA slope changes direction: Long signal: crossover(VWHMA, VWHMA ) Short signal: crossunder(VWHMA, VWHMA ) This means: A long signal prints when the current VWHMA turns upward relative to the previous value. A short signal prints when the current VWHMA turns downward. These are slope-flip signals, not price crossover signals. Important interpretation A signal does not mean “buy blindly” or “sell blindly.” It means the volatility-weighted trend estimate has changed direction. The quality of the signal depends on: Market structure, Higher timeframe trend, Volatility conditions, Whether the ribbon is expanding or compressing. Candle coloring When enabled, candles are painted according to the VWHMA slope: Bullish slope = long color. Bearish slope = short color. This makes the indicator easier to read as a regime overlay. You can quickly see when the market is consistently aligned with the volatility-weighted trend. How to use it 1) Trend filter Use the VWHMA color as a bias filter: Only favor longs when the VWHMA is rising. Only favor shorts when the VWHMA is falling. 2) Trend transition tool Slope flips can identify early trend shifts: Long marker = VWHMA has turned upward. Short marker = VWHMA has turned downward. Because the filter is Hull-style and volatility-weighted, it can react faster than slower trend filters while still suppressing some low-range noise. 3) Ribbon strength reading The ribbon gives additional context: Expanding ribbon = stronger separation and cleaner trend pressure. Contracting ribbon = momentum weakening. Ribbon flattening = chop or transition risk. 4) Pullback structure In strong trends, price often respects the VWHMA or ribbon area: Bull regime: pullbacks into the ribbon can act as support. Bear regime: rallies into the ribbon can act as resistance. 5) Volatility-backed trend confirmation Because large True Range bars influence the calculation more, this tool is useful for identifying whether trend changes are being supported by actual range expansion. If price moves but the VWHMA does not respond strongly, the move may lack volatility-backed confirmation. Input guide Price Source Defines the input series used for the calculation. Close is standard, but hl2, hlc3, or ohlc4 can be used for smoother structural behavior. Lookback Period Controls the smoothing length: Lower values = faster response, more signals, more noise. Higher values = smoother trend, fewer flips, more lag. Plot as Band Enables the ribbon view using the delayed smoothed VWHMA reference. Line Width Controls the main line thickness when not relying heavily on band mode. Show Trend Candles Paints candles by current trend state. Show Signals Toggles the long/short slope-flip markers. Strengths Uses volatility-weighted smoothing instead of equal weighting. Combines volatility sensitivity with Hull-style lag reduction. Clean ribbon visualization for trend displacement. Simple slope-based regime interpretation. Works well as a trend overlay or bias filter. Limitations Slope flips can still whipsaw in sideways markets. Large wick bars can influence the filter strongly because True Range is used as weight. It does not measure volume, despite using a VWMA-style internal function. It is a trend tool, not a complete trading system. Best use case Volatility Hull Ribbon works best when used as a visual trend structure layer: Use color for bias. Use ribbon expansion/compression for strength. Use slope flips for regime transitions. Use price interaction with the ribbon for pullback context. Summary Volatility Hull Ribbon is a Hull-style trend overlay that replaces traditional weighting with True Range weighting, making the moving average more responsive to volatility-backed price movement. It builds a low-lag volatility-weighted Hull curve, compares it to a delayed smoothed reference to form a ribbon, and uses slope changes to define trend direction and signals. The result is a clean, responsive trend ribbon that highlights when volatility-backed trend pressure is rising, fading, or reversing.
Penunjuk Pine Script®
oleh BackQuant
Moon Boys BTC Liquidation Heatmap747 ═════════════════════════════════════════════════════════════ Moon Boys BTC LIQUIDATION HEATMAP ═════════════════════════════════════════════════════════════ Visualize high-probability liquidation zones across Bitcoin futures markets using multi-exchange data and algorithmic pivot detection. ═══ OVERVIEW ═══ This indicator tracks where leveraged positions cluster and highlights areas where cascading liquidations are likely to occur. By combining Open Interest data from major exchanges with volume-weighted pivot analysis, it shows you where the market's leverage is stacked before price gets there. Perfect for: • Anticipating volatility zones • Identifying potential reversal areas • Avoiding stop-hunt regions • Confirming breakout/breakdown levels ═══ KEY FEATURES ═══ 🎨 HEAT-MAPPED LIQUIDATION ZONES └─ Green zones = Long liquidations (below price) └─ Purple zones = Short liquidations (above price) └─ Color intensity = Volume significance ⚡ SMART SIGNIFICANCE DETECTION └─ Top 30% of levels automatically highlighted └─ Lightning bolt icon (⚡) marks critical zones └─ Enhanced with borders, brighter colors, and bold labels └─ Weak levels stay subtle to reduce noise 📊 MULTI-EXCHANGE DATA └─ Binance Futures Open Interest └─ Bybit Futures Open Interest └─ Coinbase Spot Volume └─ Toggle exchanges individually 🕐 MULTI-TIMEFRAME COMPATIBLE └─ Works on all timeframes: 1m to Monthly └─ Auto-adjusts filters and aggregation per timeframe └─ Consistent performance across different chart scales 🎯 CLEAN VISUAL DESIGN └─ Labels positioned right of chart (off candles) └─ Connector lines show which label belongs to which zone └─ Hit levels fade automatically └─ Only active zones are labeled ═══ HOW TO READ IT ═══ ┌─────────────────────────────────────────────────────────┐ │ ZONE TYPE │ MEANING │ ├─────────────────────────────────────────────────────────┤ │ 🟢 Green (below) │ Long liquidation cluster │ │ │ → Potential bounce/support zone │ ├─────────────────────────────────────────────────────────┤ │ 🟣 Purple (above)│ Short liquidation cluster │ │ │ → Potential rejection/resistance │ ├─────────────────────────────────────────────────────────┤ │ ⚡ With icon │ Top 30% most significant levels │ │ │ → Higher probability of reaction │ └─────────────────────────────────────────────────────────┘ ═══ TRADING APPLICATIONS ═══ 📈 TREND CONTINUATION → Price rejects from liquidation zone = trend strength → Watch for bounces at green zones in uptrends → Watch for rejections at purple zones in downtrends 🔄 REVERSAL SETUPS → Price diving into dense liquidation clusters → Heavy volume + liquidation zone = potential turning point → Combine with momentum divergence for confirmation ⚠️ RISK MANAGEMENT → Avoid entries near untouched significant levels → High probability of stop hunts and slippage → Wait for price to sweep and confirm before entry 🧩 CONFLUENCE TRADING → Layer with support/resistance → Combine with volume profile nodes → Use alongside order flow indicators → Validate with moving averages or trend tools ═══ SETTINGS GUIDE ═══ 📡 DATA FEEDS ├─ Binance Futures OI: Toggle Binance data ├─ Bybit Futures OI: Toggle Bybit data └─ Coinbase Spot Vol: Toggle Coinbase data 🔍 LIQUIDATION DETECTION ├─ Lookback Bars (100-2000): Historical scan range ├─ Pivot Width (1-20): Detection sensitivity │ └─ Higher = fewer, stronger levels ├─ Target Leverage Tier: Distance from pivot │ ├─ 25x-50x: 2-4% zones │ ├─ 50x-100x: 0.8-2% zones (default) │ └─ 100x+: 0.3-0.8% zones ├─ Min Activity Filter: Remove weak signals └─ Extend Levels (0-200): Project zones forward 🎨 VISUAL OPTIONS ├─ Long/Short Colors: Customize zone colors ├─ Heat Contrast (0.1-3.0): Intensity scaling ├─ Significance Threshold (0.3-0.95): Top % to highlight ├─ Touched Transparency: Fade amount for hit levels └─ Label Offset: Distance from chart edge ═══ HOW IT WORKS ═══ 1. PIVOT IDENTIFICATION Scans historical data for swing highs/lows using pivot detection 2. VOLUME AGGREGATION Combines Open Interest + Volume at each pivot point Creates weighted metric for liquidation probability 3. ZONE PROJECTION Calculates liquidation bands based on selected leverage tier Projects zones where stop losses are likely stacked 4. SIGNIFICANCE RANKING Normalizes all levels against historical range Top percentile gets enhanced visual treatment 5. REAL-TIME TRACKING Monitors price interaction with each zone Active zones extend forward | Hit zones fade and lock Memory management removes outdated levels ═══ BEST PRACTICES ═══ ✅ DO: • Use on high-liquidity BTC pairs (BTCUSDT, BTCUSD) • Combine with volume and order flow analysis • Look for confluences with key technical levels • Use higher timeframes for more reliable zones • Adjust leverage tier based on market volatility ❌ DON'T: • Trade liquidation zones blindly without confirmation • Ignore broader market context and trend direction • Overtrade every single level that appears • Use as sole entry/exit criteria • Forget proper position sizing and risk management ═══ TECHNICAL NOTES ═══ • Built with Pine Script v6 • Max 500 boxes, 100 labels for optimal performance • Auto-scales for different timeframe data availability • Uses request.security() for multi-exchange aggregation • Dynamic memory management prevents chart lag ═══ DISCLAIMER ═══ This indicator visualizes potential liquidation zones based on historical volume and open interest data. It does NOT: • Predict future price movements with certainty • Guarantee reversals or continuations • Provide buy/sell signals • Replace proper risk management Liquidation zones show where leverage is concentrated — not where price will definitely react. Always use this tool as part of a comprehensive trading strategy alongside technical analysis, risk management, and market context. 📚 EDUCATIONAL USE ONLY | NOT FINANCIAL ADVICE ═══ RESOURCES ═══ Pine Script Documentation → tradingview.com/pine-script-docs/ Understanding Liquidations → academy.binance.com/en/articles/what-is-liquidation-in-crypto-trading Open Interest Data → coinglass.com/ Leverage Trading Education → investopedia.com/terms/l/leverage.asp ═══════════════════════════════════════════════════════════ Built for the Bitcoin trading community 🚀 Because knowing where the leverage sits is half the battle 💎 ═══════════════════════════════════════════════════════════
Penunjuk Pine Script®
oleh VickzinBK
Buy Signal EMA& RSI [CocoChoco]█ OVERVIEW This indicator is a momentum breakout tool designed for trend-following traders. It produces buy signals (long only). It is based on the "50-200 EMA & RSI25 crossover indicator" by rahulbalaji4574, which has been upgraded to Pine Script v6. Most importantly, I added filters to reduce false signals and improve overall timing. The core logic ensures you only enter a trade when a long-term trend is confirmed, momentum is surging but not exhausted, and there is significant market participation (volume). █ KEY IMPROVEMENTS & LOGIC This version introduces several "Smart Filters" to the original base logic: Momentum Sweet Spot: Unlike the original which only required RSI > 50, this version requires the RSI to be between 55 and 80 and actively rising. This avoids "choppy" entries and overextended "blow-off tops." Trend Strength (ADX): An integrated ADX filter ensures the market is in a strong trend (ADX > 20) before a signal is generated. Risk Management (ATR Trailing Stop): A dynamic trailing stop-loss based on 1.5x ATR is plotted automatically to help you manage risk and lock in profits. Real-time Dashboard: A non-intrusive table in the bottom-right corner displays live RSI and ADX values for quick reference. █ HOW TO USE Look for the Signal: A large green triangle appears below a bar when all trend, momentum, and volume conditions align. Manage the Trade: Use the plotted red line as your dynamic trailing stop-loss. If the price closes below this line, the trade is considered exited, and the stop will reset. Confirm with the Dashboard: Check the bottom-right corner to see if the market is gaining strength (ADX) or nearing exhaustion (RSI). █ ADJUSTING SETTINGS You can fully customize the indicator by clicking the Settings (gear icon) next to the indicator name on your chart. Inputs Tab: Adjust the RSI thresholds, EMA lengths, or the ATR multiplier to fit your specific asset and timeframe. Style Tab: Change the colors of the 50/200 EMA, the trailing stop-loss line, and the signal triangles to match your chart's theme.
Penunjuk Pine Script®
oleh CocoChoco1
Liquidation Map [Alpha Extract]A sophisticated liquidity distribution visualization system that identifies potential liquidation zones through pivot-based detection and renders them as an interactive histogram with cumulative distance-to-liquidation curves. Utilizing multi-exchange volume aggregation and ATR-scaled pocket detection, this indicator delivers institutional-grade liquidity mapping with real-time histogram display showing relative concentration of long and short liquidation levels across configurable price ranges. The system's box-based rendering architecture combined with cumulative distribution overlays provides comprehensive visual assessment of asymmetric liquidity positioning for strategic trade planning. 🔶 Advanced Multi-Exchange Aggregation Framework Implements intelligent ticker detection and multi-source volume aggregation across major exchanges including Binance, Bybit, KuCoin, OKX, and MEXC for accurate liquidity weight calculations. The system automatically identifies base currency (BTC, ETH, SOL) from chart ticker, retrieves volume data from matching perpetual contracts across multiple venues, and aggregates into composite volume metric for enhanced pocket weighting accuracy. 🔶 Pivot-Based Liquidation Pocket Detection Features sophisticated swing point identification using configurable pivot width with ATR-scaled vertical zone construction for volatility-adaptive pocket sizing. The system detects pivot highs for short liquidation zones (placed above swing) and pivot lows for long liquidation zones (placed below swing), applying 200-period ATR with percentage multipliers to determine pocket heights that adjust to market volatility conditions. 🔶 Interactive Histogram Visualization Engine Provides real-time box-based histogram rendering in indicator pane with configurable bin counts (up to 400 columns) and adjustable height, displaying liquidity concentration across fixed percentage range above and below current price. The system calculates bin sizes from view range, accumulates pocket weights into price bins, and renders vertical bars with gradient color intensity reflecting relative liquidity concentration at each price level. 🔶 Cumulative Distance Overlay System Implements innovative cumulative distribution curves showing aggregate liquidity distance from current price for both long (left) and short (right) positions. The system calculates running totals of pocket weights from current price outward in both directions, normalizes against maximum span, and overlays line segments showing how much total liquidity exists at various distances, enabling instant assessment of liquidation cascade potential. 🔶 Dynamic Price Range Adaptation Features fixed percentage-based view window that maintains consistent price range visualization across all timeframes and instruments, automatically centering histogram on current price with configurable +/- percentage bounds. The system recalculates histogram bins and pocket distributions on each bar close, ensuring visualization adapts to price movement while maintaining interpretable scale regardless of volatility regime. 🔶 Touch Detection and Weight Adjustment Provides intelligent pocket state tracking that identifies when price trades through liquidation zones and applies configurable weight multipliers to touched pockets for historical context. The system monitors price interaction with pocket midpoints, marks pockets as "hit" when violated, and optionally increases their visual weight (default 5x) to emphasize historical liquidation levels while distinguishing from untouched future zones. 🔶 Gradient Intensity Color System Implements sophisticated color gradient engine that modulates bar opacity from transparent to opaque based on relative liquidity concentration within each bin. The system normalizes bin values against maximum liquidity, applies color interpolation from faded to vivid hues, and distinguishes long liquidation zones (cyan) from short liquidation zones (yellow/gold) with current price column highlighted in red for instant orientation. 🔶 Performance-Optimized Rendering Architecture Utilizes efficient box and line object management with dynamic allocation based on histogram configuration, implementing intelligent cleanup and reuse to maintain smooth performance. The system includes adaptive line budget calculations that adjust segment density for cumulative curves based on available object limits, ensuring consistent operation even with maximum histogram resolution settings. 🔶 Asymmetric Distribution Analysis Calculates separate cumulative distributions for long and short liquidation zones split at current price, enabling identification of imbalanced liquidity positioning. The system normalizes distributions against respective maximums and overlays both curves on single histogram, allowing traders to instantly assess whether more liquidation risk exists above (shorts vulnerable) or below (longs vulnerable) current price levels. 🔶 Configurable Label and Scale System Provides price axis labeling with adjustable frequency to reduce clutter while maintaining reference points, displaying price values at regular column intervals with configurable offset positioning. The system includes current price label showing exact value and percentile position within view range, offering both absolute price reference and relative positioning context for distribution interpretation. 🔶 Historical Pocket Persistence Framework Maintains rolling window of liquidation pockets up to 3000 bars with automatic expiration management and optional preservation of touched zones for historical analysis. The system tracks pocket creation time, monitors age against lookback limits, and manages array cleanup to prevent memory overflow while retaining relevant historical liquidation levels for pattern recognition and support/resistance validation. This indicator delivers sophisticated liquidity distribution analysis through histogram visualization and cumulative distance curves that reveal asymmetric positioning of potential liquidation levels. Unlike simple liquidation heatmaps that show absolute levels, the Liquidation Map's cumulative distribution overlays instantly communicate how much total liquidity exists at various distances from current price, enabling assessment of cascade potential. The system's multi-exchange volume aggregation, touch-weighted historical zones, and fixed-range visualization make it essential for traders seeking strategic positioning around institutional liquidity clusters in cryptocurrency futures markets. The histogram format enables instant identification of price levels where concentrated liquidations may trigger significant volatility or reversal events, while the asymmetric distribution curves reveal whether market structure favors upside or downside cascades.
Penunjuk Pine Script®
oleh AlphaExtract
3
Bar Statistics - DELTA/OI/TOTAL/BUY/SELL/LONGS/SHORTSBar Statistics - Advanced Volume & Open Interest Analysis Overview The Bar Statistics indicator is a comprehensive analytical tool designed to provide traders with detailed insights into market microstructure through advanced volume analysis, open interest tracking, and market flow detection. This indicator transforms complex market data into easily digestible visual information, displaying six key metrics in customizable colored boxes that update in real-time. Unlike traditional volume indicators that only show basic volume data, this indicator combines multiple data sources to reveal the underlying forces driving price movement, including volume delta calculations from lower timeframes, open interest changes, and estimated market positioning. What Makes This Indicator Unique 1. Multi-Timeframe Volume Delta Precision The indicator utilizes lower timeframe data (default 1-second) to calculate highly accurate volume delta measurements, providing much more precise buy/sell pressure analysis than standard timeframe-based calculations. This approach captures intraday volume dynamics that are often missed by conventional indicators. 2. Real-Time Updates Unlike many indicators that only update on bar completion, this tool provides live updates for the developing candle, allowing traders to see evolving market conditions as they happen. 3. Market Flow Analysis The unique "L/S" (Long/Short) metric combines open interest changes with price/volume direction to estimate net market positioning, helping identify when participants are accumulating or distributing positions. 4. Adaptive Visual Intensity The gradient color system automatically adjusts based on historical context, making it easy to identify when current values are significant relative to recent market activity. 5. Complete Customization Every aspect of the display can be customized, from the order of metrics to individual color schemes, allowing traders to adapt the tool to their specific analysis needs. 6.All In One Solution 6 Metrics in one indicator no more using 5 different indicators. Core Features Explained DELTA (Volume Delta) What it shows: Net difference between aggressive buy volume and aggressive sell volume Calculation: Uses lower timeframe data to determine whether each trade was initiated by buyers or sellers Interpretation: Positive values indicate aggressive buying pressure Negative values indicate aggressive selling pressure Magnitude indicates the strength of directional pressure OI Δ (Open Interest Change) What it shows: Change in open interest from the previous bar Data source: Fetches open interest data using the "_OI" symbol suffix Interpretation: Positive values indicate new positions entering the market Negative values indicate positions being closed Combined with price direction, reveals market participant behavior L/S (Net Long/Short Bias) What it shows: Estimated net change in long vs short market positions Calculation method: Combines open interest changes with price/volume direction using configurable logic Scenarios analyzed: New Longs: Rising OI + Rising Price/Volume = Long position accumulation Liquidated Longs: Falling OI + Falling Price/Volume = Long position exits New Shorts: Rising OI + Falling Price/Volume = Short position accumulation Covered Shorts: Falling OI + Rising Price/Volume = Short position exits Result: Net bias toward long (positive) or short (negative) market sentiment TOTAL (Total Volume) What it shows: Standard volume for the current bar Purpose: Provides context for other metrics and baseline activity measurement Enhanced display: Uses gradient intensity based on recent volume history BUY (Estimated Buy Volume) What it shows: Estimated aggressive buy volume Calculation: (Total Volume + Delta) / 2 Use case: Helps quantify the actual buying pressure in monetary/contract terms SELL (Estimated Sell Volume) What it shows: Estimated aggressive sell volume Calculation: (Total Volume - Delta) / 2 Use case: Helps quantify the actual selling pressure in monetary/contract terms Configuration Options Timeframe Settings Custom Timeframe Toggle: Enable/disable custom lower timeframe selection Timeframe Selection: Choose the precision level for volume delta calculations Auto-Selection Logic: Automatically selects optimal timeframe based on chart timeframe Net Positions Calculation Direction Method: Choose between Price-based or Volume Delta-based direction determination Value Method: Select between Open Interest Change or Volume for position size calculations Display Customization Row Order: Completely customize which metrics appear and in what order (6 positions available) Color Schemes: Individual color selection for positive/negative values of each metric Gradient Intensity: Configurable lookback period (10-200 bars) for relative intensity calculations Visual Elements Box Format: Clean, professional box display with clear labels Color Coding: Intuitive color schemes with customizable transparency gradients Real-time Updates: Live updating for developing candles with historical stability How to Use This Indicator For Day Traders Volume Confirmation: Use DELTA to confirm breakout validity - strong directional moves should show corresponding volume delta Entry Timing: Watch for volume delta divergences at key levels to time entries Exit Signals: Monitor when aggressive volume shifts against your position For Swing Traders Market Flow: Focus on the L/S metric to identify when participants are accumulating or distributing Open Interest Analysis: Use OI Δ to confirm whether moves are backed by new money or position adjustments Trend Validation: Combine multiple metrics to validate trend strength and sustainability For Scalpers Real-time Edge: Utilize the live updates to see developing imbalances before bar completion Quick Decision Making: Focus on DELTA and BUY/SELL for immediate market pressure assessment Volume Profile: Use TOTAL volume context for optimal entry/exit sizing Setup Recommendations Futures Markets: Enable OI tracking and use Volume Delta direction method Crypto Markets: Focus on DELTA and volume metrics; OI may not be available Stock Markets: Use Price direction method with volume value calculations High-Frequency Analysis: Set lower timeframe to 1S for maximum precision Technical Implementation Data Accuracy Utilizes TradingView's ta.requestVolumeDelta() function for precise buy/sell classification Implements error checking for data availability Handles missing data gracefully with fallback calculations Performance Optimization Efficient array management with configurable lookback periods Smart box creation and deletion to prevent memory issues Optimized real-time updates without historical data corruption Compatibility Works on all timeframes from seconds to daily Compatible with futures, forex, crypto, and stock markets Automatically adjusts calculation methods based on available data Risk Disclaimers This indicator is designed for educational and analytical purposes. It provides statistical analysis of market data but does not guarantee trading success. Users should: Combine with other forms of analysis Practice proper risk management Understand that past performance doesn't predict future results Be aware that volume delta and open interest data quality varies by market and data provider Conclusion The Bar Statistics indicator represents a significant advancement in retail trader access to professional-grade market analysis tools. By combining multiple data sources into a single, customizable display, it provides the depth of analysis needed for comprehensive market microstructure understanding while maintaining the simplicity required for effective decision-making.
Penunjuk Pine Script®
oleh benb1122
5
Net Positions (Net Longs & Net Shorts) - Volume AdjustedNet Positions (Net Longs & Net Shorts) - Volume Adjusted Based on the legendary LeviathanCapital - Net Positions Indicator Adjusted to use volume calculation for more percise data Few important caveats: - EVERY BUYER NEED A SELLER AND EVERY SELLER NEED A BUYER - This indicator is meant to give you a sense of direction for the market orders ("who is the aggresive side") and should be used as confluence not as true values In reality, in market movement each candle will contain both buying and selling, contracts closing and opening but due to some limitations that is hard to make properly. Even with these limitations this indicator can provide a better picture than some other even external tools out there. The main benefit of using volume delta and open interest instead of just open interest and candle closes G/R that it solves the problem with extreme cases where there might be an absorption of market orders. Example of the Volume Edge in Action: Bullish Absorption (The "Trap" for Sellers) Candle Close + OI: A large Red Candle forms with Rising OI. The interpretation is simply: "New shorts are opening" Volume Delta + OI: The same Red Candle with Rising OI has a Positive Volume Delta. The True Story: Aggressive buyers tried to push the price up, but they were completely absorbed by large passive sell orders. The "Volume Delta" logic: If OI ↑ → new positions opened • Delta ↑ → net longs added • Delta ↓ → net shorts added If OI ↓ → positions closed • Delta ↑ → shorts closing • Delta ↓ → longs closing The "Price" logic: If OI ↑ → new positions opened • Price ↑ → net longs added • Price ↓ → net shorts added If OI ↓ → positions closed • Price ↑ → shorts closing • Price ↓ → longs closing
Penunjuk Pine Script®
oleh benb1122
6
Market Regime Matrix [Alpha Extract]A sophisticated market regime classification system that combines multiple technical analysis components into an intelligent scoring framework to identify and track dominant market conditions. Utilizing advanced ADX-based trend detection, EMA directional analysis, volatility assessment, and crash protection protocols, the Market Regime Matrix delivers institutional-grade regime classification with BULL, BEAR, and CHOP states. The system features intelligent scoring with smoothing algorithms, duration filters for stability, and structure-based conviction adjustments to provide traders with clear, actionable market context. 🔶 Multi-Component Regime Engine Integrates five core analytical components: ADX trend strength detection, EMA-200 directional bias, ROC momentum analysis, Bollinger Band volatility measurement, and zig-zag structure verification. Each component contributes to a sophisticated scoring system that evaluates market conditions across multiple dimensions, ensuring comprehensive regime assessment with institutional precision. // Gate Keeper: ADX determines market type is_trending = adx_value > adx_trend_threshold is_ranging = adx_value <= adx_trend_threshold is_maximum_chop = adx_value <= adx_chop_threshold // BULL CONDITIONS with Structure Veto if price_above_ema and di_bullish if use_structure_filter and isBullStructure raw_bullScore := 5.0 // MAXIMUM CONVICTION: Strong signals + Bull structure else if use_structure_filter and not isBullStructure raw_bullScore := 3.0 // REDUCED: Strong signals but broken structure 🔶 Intelligent Scoring System Employs a dynamic 0-5 scale scoring mechanism for each regime type (BULL/BEAR/CHOP) with adaptive conviction levels. The system automatically adjusts scores based on signal alignment, market structure confirmation, and volatility conditions. Features decision margin requirements to prevent false regime changes and includes maximum conviction thresholds for high-probability setups. 🔶 Advanced Structure Filter Implements zig-zag based market structure analysis using configurable deviation thresholds to identify significant pivot points. The system tracks Higher Highs/Higher Lows (HH/HL) for bullish structure and Lower Lows/Lower Highs (LL/LH) for bearish structure, applying structure veto logic that reduces conviction when price action contradicts the underlying trend framework. // Define Market Structure (Bull = HH/HL, Bear = LL/LH) isBullStructure = not na(last_significant_high) and not na(prev_significant_high) and not na(last_significant_low) and not na(prev_significant_low) and last_significant_high > prev_significant_high and last_significant_low > prev_significant_low isBearStructure = not na(last_significant_high) and not na(prev_significant_high) and not na(last_significant_low) and not na(prev_significant_low) and last_significant_low < prev_significant_low and last_significant_high < prev_significant_high 🔶 Superior Engine Components Features dual-layer regime stabilization through score smoothing and duration filtering. The score smoothing component reduces noise by averaging raw scores over configurable periods, while the duration filter requires minimum regime persistence before confirming changes. This eliminates whipsaws and ensures regime transitions represent genuine market shifts rather than temporary fluctuations. 🔶 Crash Detection & Active Penalties Incorporates sophisticated crash detection using Rate of Change (ROC) analysis with severity classification. When crash conditions are detected, the system applies active penalties (-5.0) to BULL and CHOP scores while boosting BEAR conviction based on crash severity. This ensures immediate regime response to major market dislocations and drawdown events. // === CRASH OVERRIDE (Active Penalties) === is_crash = roc_value < crash_threshold if is_crash // Calculate crash severity crash_severity = math.abs(roc_value / crash_threshold) crash_bonus = 4.0 + (crash_severity - 1.0) * 2.0 // ACTIVE PENALTIES: Force bear dominance raw_bearScore := math.max(raw_bearScore, crash_bonus) raw_bullScore := -5.0 // ACTIVE PENALTY raw_chopScore := -5.0 // ACTIVE PENALTY ❓How It Works 🔶 ADX-Based Market Classification The Market Regime Matrix uses ADX (Average Directional Index) as the primary gatekeeper to distinguish between trending and ranging market conditions. When ADX exceeds the trend threshold, the system activates BULL/BEAR regime logic using DI+/DI- crossovers and EMA positioning. When ADX falls below the ranging threshold, CHOP regime logic takes precedence, with maximum conviction assigned during ultra-low ADX periods. 🔶 Dynamic Conviction Scaling Each regime receives conviction ratings from UNCERTAIN to MAXIMUM based on signal alignment and score magnitude. MAXIMUM conviction (5.0 score) requires perfect signal alignment plus favorable market structure. The system progressively reduces conviction when signals conflict or structure breaks, ensuring traders understand the reliability of each regime classification. 🔶 Regime Transition Management Implements decision margin requirements where new regimes must exceed existing regimes by configurable thresholds before transitions occur. Combined with duration filtering, this prevents premature regime changes and maintains stability during consolidation periods. The system tracks both raw regime signals and final regime output for complete transparency. 🔶 Visual Regime Mapping Provides comprehensive visual feedback through colored candle overlays, background regime highlighting, and real-time information tables. The system displays regime history, conviction levels, structure status, and key metrics in an organized dashboard format. Regime changes trigger immediate visual alerts with detailed transition information. 🔶 Performance Optimization Features efficient array management for zig-zag calculations, smart variable updating to prevent recomputation, and configurable debug modes for strategy development. The system maintains optimal performance across all timeframes while providing institutional-grade analytical depth. Why Choose Market Regime Matrix ? The Market Regime Matrix represents the evolution of market regime analysis, combining traditional technical indicators with modern algorithmic decision-making frameworks. By integrating multiple analytical dimensions with intelligent scoring, structure verification, and crash protection, it provides traders with institutional-quality market context that adapts to changing conditions. The sophisticated filtering system eliminates noise while preserving responsiveness, making it an essential tool for traders seeking to align their strategies with dominant market regimes and avoid adverse market environments.
Penunjuk Pine Script®
oleh AlphaExtract
3
Order Block Matrix [Alpha Extract]The Order Block Matrix indicator identifies and visualizes key supply and demand zones on your chart, helping traders recognize potential reversal points and high-probability trading setups. This tool helps traders: Visualize key order blocks with volume profile histograms showing liquidity distribution. Identify high-volume price levels where institutional activity occurs. rank historical order blocks and analyze their strength based on volume. Receive alerts for potential trading opportunities based on price-block interactions. 🔶 CALCULATION The indicator processes chart data to identify and analyze order blocks: Order Block Detection Inputs: Price action patterns (consolidation areas followed by breakouts). Volume data from current and lower timeframes. User-defined lookback periods and thresholds. Detection Logic: Identifies consolidation areas using a dynamic range comparison. Confirms breakout patterns with percentage threshold validation. Maps volume distribution across price levels within each order block. 🔶Volume Analysis Volume Profiling: Divides each order block into configurable grid segments. Maps volume distribution across price segments within blocks. Highlights zones with highest volume concentration. Strength Assessment: Calculates total block volume and relative strength metrics. Compares block volume to historical averages. Determines probability of reversal based on volume patterns. isConsolidation(len) => high_range = ta.highest(high, len) - ta.lowest(high, len) low_range = ta.highest(low, len) - ta.lowest(low, len) avg_range = (high_range + low_range) / 2 current_range = high - low current_range <= avg_range * (1 + obThreshold) 🔶 DETAILS Visual Features Volume Profile Histograms: Color-coded bars showing volume concentration within order blocks. Gradient coloring based on relative volume (high volume = brighter colors). Bull blocks (green/teal) and bear blocks (red) with varying opacity. Block Visualization: Dynamic box sizing based on volume concentration. Optional block borders and background fills. Volume labels showing total block volume. Screener Table: Real-time analysis of order block metrics. Shows block direction, proximity, retest count, and volume metrics. Color-coded for quick reference. Interpretation High Volume Areas: Zones with institutional interest and potential reversal points. Block Direction: Bullish blocks typically support price, bearish blocks typically resist price. Retests: Multiple tests of an order block may strengthen or weaken its influence. Block Age: Newer blocks often have stronger influence than older ones. Volume Concentration: Brightest segments within blocks represent the highest volume areas. 🔶 EXAMPLES The indicator helps identify key trading opportunities: Bullish Order Blocks Support Zones: Identify strong support levels where price is likely to bounce. Breakout Confirmation: Validate breakouts with volume analysis to avoid false moves. Retest Strategies: Enter trades when price retests a bullish order block with high volume. Bearish Order Blocks Resistance Zones: Identify strong resistance levels where price is likely to reverse. Distribution Areas: Detect zones where smart money is distributing to retail. Short Opportunities: Find optimal short entry points at high-volume bearish blocks. Combined Strategies Order Block Stacking: Multiple aligned blocks create stronger support/resistance zones. Block Mitigation: When price breaks through a block, it often indicates a strong trend continuation. Volume Profile Applications: Higher volume segments provide more precise entry and exit points. 🔶 SETTINGS Customization Options Order Block Detection: Consolidation Lookback: Adjust the period for consolidation detection. Breakout Threshold: Set minimum percentage for breakout confirmation. Historical Lookback Limit: Control how far back to scan for historical order blocks. Maximum Order Blocks: Limit the number of visible blocks on the chart. Visual Style: Grid Segments: Adjust the number of volume profile segments. Extend Blocks to Right: Enable/disable extending blocks to current price. Show Block Borders: Toggle border visibility. Border Width: Adjust thickness of block borders. Show Volume Text: Enable/disable volume labels. Volume Text Position: Control placement of volume labels. Color Settings: Bullish High/Low Volume Colors: Customize appearance of bullish blocks. Bearish High/Low Volume Colors: Customize appearance of bearish blocks. Border Color: Set color for block outlines. Background Fill: Adjust color and transparency of block backgrounds. Volume Text Color: Customize label appearance. Screener Table: Show Screener Table: Toggle table visibility. Table Position: Select positioning on the chart. Table Size: Adjust display size. The Order Block Matrix indicator provides traders with powerful insights into market structure, helping to identify key levels where smart money is active and where high-probability trading opportunities may exist.
Penunjuk Pine Script®
oleh AlphaExtract
7
Aggregated Open Interest [Alpha Extract]The Aggregated Open Interest indicator provides a comprehensive view of open interest across multiple cryptocurrency exchanges, allowing traders to monitor institutional positioning and market sentiment. By aggregating data from major exchanges like Binance, BitMEX, and Kraken, this indicator offers valuable insights into potential price movements and market shifts. 🔶 CALCULATION The indicator processes open interest data through multiple analytical methods: Exchange Aggregation: Collects and normalizes open interest data from multiple exchanges (Binance, BitMEX, Kraken) with proper currency normalization. Multi-Mode Analysis: Calculates various metrics including raw open interest values, OI change, OI delta, volume-weighted delta, and OI RSI. Divergence Detection: Uses pivot point analysis to identify divergences between price action and open interest movements. Activity Assessment: Tracks bullish and bearish activity patterns by correlating open interest changes with price movements. Formula: Aggregate OI = Sum of normalized open interest from selected exchanges OI Change = Current OI - Previous OI OI Delta = Net change in open interest across timeframes OI Delta × Volume = OI Delta weighted by relative volume OI RSI = Relative Strength Index applied to open interest values OI Heatmap = Multi-timeframe visualization of OI changes across 7 distinct periods 🔶 DETAILS Visual Features: Open Interest: Candlestick representation of aggregated open interest OI Change: Histogram showing period-to-period changes OI Delta: Histogram displaying net OI movements OI Delta × Volume: Volume-weighted OI delta for enhanced signals OI RSI: Oscillator showing overbought/oversold OI conditions OI Heatmap: Multi-timeframe visualization showing OI changes across 7 periods (3, 5, 8, 13, 21, 34, and 55 days) Divergence Detection: Color-coded markers (teal for bullish, red for bearish) highlighting significant divergences between price and open interest Analysis Table: Real-time summary of key metrics including aggregate OI, recent changes, and bullish/bearish activity. Interpretation: Increasing Open Interest + Rising Price: Strong bullish trend confirmation Increasing Open Interest + Falling Price: Strong bearish trend confirmation Decreasing Open Interest + Rising Price: Weak bullish trend (potential reversal) Decreasing Open Interest + Falling Price: Weak bearish trend (potential reversal) Divergences: Signal potential trend exhaustion and reversals when price moves in one direction while open interest moves in the opposite direction Heatmap: Provides at-a-glance insight into open interest trends across multiple timeframes, with green bars indicating rising OI and red bars indicating falling OI 🔶 EXAMPLES Trend Confirmation: Rising open interest accompanying a price increase confirms strong bullish momentum with institutional backing. Example: During January-February 2025, rising OI during price advances confirms institutional participation in the uptrend. Bearish Divergence: Price makes a higher high while open interest makes a lower high, signaling potential trend reversal. Example: Red markers appear at market tops where price continues higher but open interest fails to confirm, preceding significant corrections. Bullish Divergence : Price makes a lower low while open interest makes a higher low, indicating potential bottoming. Example: Teal markers appear at market bottoms where price continues lower but open interest fails to confirm, preceding significant rallies. OI Heatmap Analysis : Multiple timeframes showing consistent red signals across short to long-term periods indicate strong institutional selling pressure. Example: When all 7 periods (3-55 days) show red during a price uptrend, this signals institutional selling into retail strength, often preceding major corrections. 🔶 SETTINGS Customization Options: Data Sources: Toggle different exchanges (Binance USDT/USD/BUSD, BitMEX USD/USDT, Kraken USD) Display Mode: Choose between Open Interest, OI Change, OI Delta, OI Delta × Volume, OI RSI, and OI Heatmap Currency Units: Display in USD or base cryptocurrency (COIN) Analysis Tools: Moving Average (length and color), RSI (length and color) Divergence Detection: Enable/disable signals, adjust lookback period and threshold percentage, customize bullish/bearish divergence colors OI Heatmap Colors: Customize bullish (green) and bearish (red) signal colors for the multi-timeframe heatmap visualization The Aggregated Open Interest indicator provides traders with comprehensive insights into institutional positioning across major exchanges, helping identify potential trend continuations, reversals, and key market turning points driven by smart money movements. The addition of the OI Heatmap feature enables traders to quickly visualize open interest trends across multiple timeframes, providing valuable context for institutional positioning over different market cycles.
Penunjuk Pine Script®
oleh AlphaExtract
2
DAILY Supertrend + EMA Crossover with RSI FilterThis strategy is a technical trading approach that combines multiple indicators—Supertrend, Exponential Moving Averages (EMAs), and the Relative Strength Index (RSI)—to identify and manage trades. Core Components: 1. Exponential Moving Averages (EMAs): Two EMAs, one with a shorter period (fast) and one with a longer period (slow), are calculated. The idea is to spot when the faster EMA crosses above or below the slower EMA. A fast EMA crossing above the slow EMA often suggests upward momentum, while crossing below suggests downward momentum. 2. Supertrend Indicator: The Supertrend uses Average True Range (ATR) to establish dynamic support and resistance lines. These lines shift above or below price depending on the prevailing trend. When price is above the Supertrend line, the trend is considered bullish; when below, it’s considered bearish. This helps ensure that the strategy trades only in the direction of the overall trend rather than against it. 3. RSI Filter: The RSI measures momentum. It helps avoid buying into markets that are already overbought or selling into markets that are oversold. For example, when going long (buying), the strategy only proceeds if the RSI is not too high, and when going short (selling), it only proceeds if the RSI is not too low. This filter is meant to improve the quality of the trades by reducing the chance of entering right before a reversal. 4. Time Filters: The strategy only triggers entries during user-specified date and time ranges. This is useful if one wants to limit trading activity to certain trading sessions or periods with higher market liquidity. 5. Risk Management via ATR-based Stops and Targets: Both stop loss and take profit levels are set as multiples of the ATR. ATR measures volatility, so when volatility is higher, both stops and profit targets adjust to give the trade more breathing room. Conversely, when volatility is low, stops and targets tighten. This dynamic approach helps maintain consistent risk management regardless of market conditions. Overall Logic Flow: - First, the market conditions are analyzed through EMAs, Supertrend, and RSI. - When a buy (long) condition is met—meaning the fast EMA crosses above the slow EMA, the trend is bullish according to Supertrend, and RSI is below the specified “overbought” threshold—the strategy initiates or adds to a long position. - Similarly, when a sell (short) condition is met—meaning the fast EMA crosses below the slow EMA, the trend is bearish, and RSI is above the specified “oversold” threshold—it initiates or adds to a short position. - Each position is protected by an automatically calculated stop loss and a take profit level based on ATR multiples. Intended Result: By blending trend detection, momentum filtering, and volatility-adjusted risk management, the strategy aims to capture moves in the primary trend direction while avoiding entries at excessively stretched prices. Allowing multiple entries can potentially amplify gains in strong trends but also increases exposure, which traders should consider in their risk management approach. In essence, this strategy tries to ride established trends as indicated by the Supertrend and EMAs, filter out poor-quality entries using RSI, and dynamically manage trade risk through ATR-based stops and targets.
Strategi Pine Script®
oleh Mohamed_Abbas
ETH Long/Short Ratio BITFINEX - (ALPHRACTAL)Indicator Description: ETH Long/Short Ratio BITFINEX - (ALPHRACTAL) The ETH Long/Short Ratio BITFINEX - (ALPHRACTAL) indicator provides a detailed analysis of Ethereum (ETH) long and short positions in USD and USDT on the Bitfinex exchange. This indicator is ideal for traders who want to monitor market behavior and better understand the relationship between long and short positions. Features: USD and USDT Long/Short Ratio: Calculates and displays the ratio between long and short ETH positions in USD and USDT. Helps identify market trends and the relative strength between buyers and sellers. Color Configuration: Allows customization of chart colors for clear and distinct visualization of USD and USDT ratios. Uses colors with adjustable transparency to enhance chart visibility. Label Display: Option to show or hide labels indicating the type of ratio (USD or USDT) at the latest chart value. Labels are useful for quickly identifying the visualized ratio. Display Control: Option to enable or disable the display of individual USD and USDT ratio charts. Flexibility to view only the relevant data for your analysis. How to Use: Add the indicator to your chart to visualize the long/short ratios of ETH in USD and USDT. Adjust colors and transparency as per your preference for better visual distinction. Use the option to show or hide labels for quick identification of the data. Analyze the relationship between long and short positions to make informed trading decisions, observing market buying and selling trends. Example Use Cases: Market Sentiment Analysis: An increase in the Long/Short ratio may indicate bullish sentiment among traders, while a decrease may indicate bearish sentiment. Identifying Opportunities: Significant discrepancies between USD and USDT ratios may signal arbitrage opportunities or alert to significant market movements. This indicator is a powerful tool for Ethereum traders who want a deeper understanding of market behavior and the dynamics of long and short positions on Bitfinex. Add the ETH Long/Short Ratio BITFINEX - (ALPHRACTAL) to your technical analysis toolkit and gain an edge in your trading strategy.
Penunjuk Pine Script®
oleh joaowedsonf
TTP Breaking PointThis signal uses information from BITFINEX:BTCUSDLONGS and BITFINEX:BTCUSDSHORTS to forecast tops and bottoms. The idea behind is very simple. We calculate the RSI of the ratio of longs vs shorts and find areas where both the SMA of this RSI and the RSI itself are overextended. You might notice that the win rate is not high but most of the wins provide a decent move that, if combined with proper risk management, can be used to build profitable strategies. The signal offers a backtesting stream: 1 for buy and 2 for sell. Shortly I'll be adding new features including: alerts, support for other symbols, filters, etc.
Penunjuk Pine Script®
oleh TheTradingParrot
Open Interest Suite [Aggregated] - By LeviathanThis script is an all-in-one indicator that uses aggregated Open Interest data to plot OI candles, Open Interest Delta, OI x rVOL, and OI RSI. It also includes tools such as an OI Distribution profile, large OI increase/decrease coloring, a Stats Screener, and much more. You can select and have the script plot the following: - Open Interest in the form of OHLC candles - Open Interest Delta in the form of a histogram - Open Interest x Relative Volume in the form of a histogram - Open Interest RSI in the form of a line Additional features include: - OI Distribution Profile (It shows the distribution of open interest in the visible range on y axis. This makes it easier to identify when Open Interest is relatively high or low and at which values most of the action took place) - Stats screener (The screener includes the real-time net Open Interest value, Rekt Longs/Rekt Shorts based on large OI decreases and Aggressive Longs/Shorts based on large OI increases) - Coloring (You can color OI Delta nodes, background and chart candles based on large OI increases/decreases) - more Instructions for the settings will be provided in the tooltips shortly. Full credit goes to @KioseffTrading for the profile generation code.
Penunjuk Pine Script®
oleh LeviathanCapital
50
Net Positions (Net Longs & Net Shorts) - By LeviathanThis script is an experimental indicator that visualizes the entering and exiting of long and short positions in the market. It also includes other useful tools, such as NL/NS Profile, NL/NS Delta, NL/NS Ratio, Volume Heatmap, Divergence finder, Relative Strength Index of Net Longs and Net Shorts, EMAs and VWMAs and more. To avoid misinterpretation, it's important to understand some basics. The “real” ratio between net long and net short positions in a given market is always 1:1. A futures contract is an agreement between two parties to buy or sell an underlying asset at an agreed-upon price. Each contract has a long side and a short side, with one party agreeing to buy (long) and the other party agreeing to sell (short) the asset at the agreed-upon price. The long position holder anticipates that the asset's price will rise, while the short position holder expects it to fall. Because every futures contract involves both a buyer and a seller, it is impossible to have more net longs than net shorts or vice versa (in terms of the net value). For every long position opened, there must be a corresponding short position taken by another market participant (and vice versa), thus maintaining the 1:1 ratio between longs and shorts. While there can be an imbalance in the number of traders/accounts holding long and short contracts, the net value of positions held on each side remains 1 to 1. Open Interest (OI) is a metric that tracks the number of open (unsettled) contracts in a given market. For example, Open Interest of 100 BTC means that there are currently 100 BTC worth of longs and 100 BTC worth of shorts open in the market. There may be more traders on one side holding smaller positions, and fewer traders on the other side holding larger positions, but the net value of positions on one side is equal to the net value of positions on the other side → 100 BTC in longs and 100 BTC in shorts (1:1). Consider a scenario in which a trader decides to open a long position for 1 BTC at a price of HKEX:30 ,000. For this long order to be executed, a counterparty must take the opposite side of the contract by placing an order to short 1 BTC at the same price of HKEX:30 ,000. When both the long and short orders are matched and executed, the open interest increases by 1 BTC, reflecting the addition of this new contract to the market. Changes in Open Interest essentially tell us 3 things: - OI Increase - new positions entered the market (both longs and shorts!) - OI Decrease - positions exited the market (both longs and shorts!) - OI Flat - no change in open positions due to low activity or simply lots of transfers of contracts However, different concepts can be used to analyze sentiment, aggressiveness, and activity in the market by analyzing data such as Open Interest, price, volume, etc. This indicator combines Open Interest data and price action to simplify the visualization of positions entering and exiting the market. It is based on the following concept: Increase in Open Interest + Increase in price = Longs Opening Decrease in Open Interest + Decrease in price = Longs Closing Increase in Open Interest + Decrease in price = Shorts Opening Decrease in Open Interest + Increase in price = Shorts Closing When "Longs Opening" occurs, the OI Delta value is added to the running total of Net Longs, and when "Longs Closing" occurs, the OI Delta value is subtracted from the running total of Net Longs. When "Shorts Opening" occurs, the OI Delta value is added to the running total of Net Shorts, and when "Shorts Closing" occurs, the OI Delta value is subtracted from the running total of Net Shorts. To summarize: Net Longs: Cumulative value of Longs Opening and Longs Closing (LO - LC) Net Shorts: Cumulative value of Shorts Opening and Shorts Closing (SO - SC) Net Delta: Net Longs - Net Shorts Net Ratio: Net Longs / Net Shorts This is the fundamental logic of how this script functions, but it also includes several other tools and options. Here is an overview of the settings: Type: - Net Positions (display values of Net Longs, Net Shorts, Net Delta, Net Ratio as described above) - Relative Strength (display Net Longs, Net Shorts, Net Delta, Net Ratio in the form of a momentum oscillator that measures the speed and change of movements. Same logic as RSI for price) Display as: - Candles (display the data in the form of candlesticks) - Lines (display the data in the form of candlesticks) - Columns (display the data in the form of columns) Cumulation: - Visible Range (data is cumulated from the first visible bar on your chart) - Full Data (data is cumulated from the beginning) Quoted in: - Base Currency (all data is presented in the pair’s base currency eg. BTC) - Quote Currency (all data is presented in the pair’s quote currency eg USDT) OI Sources - Pick the sources from where the data is collected (if available). Net Positions: - NET LONGS (show/hide Net Longs plot, choose candle colors, choose line color) - NET SHORTS (show/hide Net Shorts plot, choose candle colors, choose line color) - NET DELTA (show/hide Net Delta plot, choose candle colors, choose line color) - NET RATIO (show/hide Net Ratio plot, choose candle colors, choose line color) Moving Averages: - Type (choose between EMA and Volume Weighted Moving Average) - NET LONGS (show/hide NL moving average plot, choose length, choose color) - NET SHORTS (show/hide NS moving average plot, choose length, choose color) - NET DELTA (show/hide ND moving average plot, choose length, choose color) - NET RATIO (show/hide NR moving average plot, choose length, choose color) Profile: - Profile Data (choose the source data of the profile) - Value Area % (set the percentage width of profile’s value area) - Positions (set the position of the profile to left or right of the visible range) - Node Size (set the relative size of nodes to make them appear smaller or larger) - Rows (select the amount of rows displayed by the profile to control granularity) - POC (show/hide POC- Point Of Control and select its color) - VA (show/hide VA- Value Area and select its color) Divergence finder - Source (choose the source data used by the script to compare it with price pivot points) - Maximum distance (the maximum distance between two divergent pivot points) - Lookback Bars Left (the number of bars to the left of the current bar that the function will consider when looking for a pivot point) - Lookback Bars Right (the number of bars to the right of the current bar that the function will consider when looking for a pivot point) Stats: - Show/Hide the Stats table - Bars Back (choose the length of data analyzed for stats in number of bars) - Position (choose the position of the Stats table) - Select Data you want to display in the Stats table Additional Settings: - Volume Heatmap (show/hide volume heatmap and select its color) - Label Offset (select how much the plot label is shifted to the right - Position Relative Strength Length (select the length used in the calculation) - Value Label (show/hide OI Delta values when candles are displayed) - Plot Labels (show/hide the labels next to the plot) - Wicks (show/hide wick when candles are displayed) Code used for generating profiles is taken from @KioseffTrading's "Profile Any Indicator" script (used with author's permission)
Penunjuk Pine Script®
oleh LeviathanCapital
30