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Vilantro SMC, Sessions, FRVP Master Algo V2.3Vilantro SMC, Sessions, FRVP Master Algo (V2.3) Overview The Vilantro SMC Master Algo is a comprehensive institutional trading toolkit designed for Smart Money Concepts (SMC) and ICT traders. It combines Time, Price, Volume, and Structure into a single, high-performance indicator. Instead of cluttering your chart with multiple indicators, this tool provides a "mechanical" framework to identify high-probability setups by visualizing Liquidity Sweeps, Order Blocks, Fair Value Gaps, and Session Kill Zones automatically. Key Features 1. Advanced Session & Kill Zones Time is the most critical element in ICT trading. This module highlights key trading windows to help you catch volatility. • Asia Range: Visualizes the accumulation phase (Default: 20:00 - 00:00 NY). • London Kill Zone: Captures the "Judas Swing" or initial breakout (Default: 02:00 - 05:00 NY). • New York Kill Zone: The primary session for trend continuation or reversals (Default: 07:00 - 10:00 NY). • Custom Session: A user-defined window (e.g., Close, Lunch) for added flexibility. • Feature: Toggle any session ON/OFF individually. 2. Smart Money Concepts (PD Arrays) The core engine automatically detects institutional reference points: • Order Blocks (OB): Highlights the last candle before a strong move. Green for Bullish, Red for Bearish. • Fair Value Gaps (FVG): Detects imbalances where price moved too quickly. • Breaker Blocks (BB): Advanced Logic. Automatically identifies Failed Order Blocks (e.g., a Bullish OB that got smashed through) and marks them as Breakers for retests. • Inversion FVGs (IFVG): Advanced Logic. Marks Failed FVGs that flip from support to resistance (or vice versa). 3. Market Structure & Swings • Swing Points: Automatically labels HH (Higher High), LL (Lower Low), LH , and HL to visualize the trend. • Break of Structure (BOS): Draws lines when trend continuation occurs. • Change of Character (CHoCH): Draws lines when the trend potentially reverses. • Customization: You can toggle the Labels and Lines independently to keep charts clean. 4. Fixed Range Volume Profile (FRVP) - Gap Logic Unlike standard indicators, this calculates the Volume Profile specifically for the "Gap" periods between sessions (e.g., Pre-London or Pre-NY). • POC (Point of Control): The price level with the highest volume traded during the gap. • VAH / VAL: Volume Area High and Low lines. • Usage: Helps identify where price is likely to magnetize before the next session opens. 5. Liquidity & Sweeps • Equal Highs/Lows (EQH/EQL): Automatically spots "Double Top/Bottom" formations where retail stops are hiding. • Sweep Signals: Provides real-time BUY/SELL signals when a session high/low is swept (liquidity raid) and price reverses back into the range. 6. Daily Premium & Discount • Calculates the Daily High , Daily Low , and Equilibrium (50%) level. • Helps you avoid buying in "Premium" (expensive) or selling in "Discount" (cheap) zones. Settings Guide Kill Zones • Show : Toggle visibility for Asia, London, NY, or Custom boxes. • Time Inputs: Set start/end times (Format: HHmm-HHmm in NY time). Visuals • Colors: Customize the background colors and opacity for each session. Premium / Discount • Calculate P/D: Enables the Daily Range calculation. • Show BG/Lines: Toggles the background shading or the High/Low/Eq lines. Volume Profile • POC / VAH / VAL: Customize the color, width, and style (Solid/Dash) of volume lines. SMC • Show FVG / OB: Toggles standard Order Blocks and Fair Value Gaps. • Req FVG?: Filter: Only shows OBs that created a Fair Value Gap (High Quality). • Show Breakers / IFVG: Toggles advanced "flipped" zones (Breaker Blocks & Inversion FVGs). Structure • Show Swings: Toggles HH/LL labels on pivots. • Show Structure Lines: Toggles BOS/CHoCH horizontal lines. Liquidity • Thresh: Sensitivity for detecting Equal Highs/Lows. Trade Mgmt • Show Signals: Toggles the Buy/Sell labels on the chart. How to Trade (Strategy Examples) Strategy A: The "Session Sweep" (Reversal) Wait for a Session Box (e.g., Asia) to form. Look for price to break out above the Session High (Sweep). Wait for a "SELL (Sweep)" signal. This confirms price grabbed liquidity and closed back inside. Target: The opposing side of the session (Asia Low) or the Session POC. Strategy B: The "Unicorn" (Breaker + FVG) Identify a Breaker Block (BB) (a failed OB that flipped). Look for a Fair Value Gap (FVG) overlapping with that Breaker. Entry: Limit order at the overlap of the BB and FVG. Stop Loss: Just outside the Breaker structure. Disclaimer: This tool is for educational and analytical purposes only. Trading involves significant risk. Always combine these signals with your own analysis and risk management rules.
Penunjuk Pine Script®
oleh Vilantro
1
Whale Momentum BarsWhale Momentum Bars is a custom Visual Range Volume Profile (VRVP) for the last N bars that shows total volume only (no POC/VA/VAL). It builds a 55-row volume-by-price histogram (fully adjustable) using a more accurate method: each candle’s volume is distributed across price bins based on the candle’s high/low overlap. The key idea is filtering: every row’s bar width is normalized to the highest-volume bin in the range. Only bins that reach a user-defined threshold (e.g. 33% or 50% of the max bin) are drawn. Low-volume areas vanish, high-volume nodes stay, and gaps are preserved—so the heavy-volume “whale zones” pop instantly. You can draw the profile inside the selected range, choose left or right, control the max width (in bars) and offset, and customize color, transparency, and borders. Optional labels mark the price levels of the top N local peaks (true volume nodes), so you see the most important high-volume levels without labeling adjacent “peak neighbor” bins.
Penunjuk Pine Script®
oleh PointofConviction
2
Liquidity Strain Detector [MarkitTick]💡 This indicator provides a specialized method for detecting market anomalies where price movement becomes disconnected from typical volume profiles, signaling potential exhaustion events. By combining statistical analysis of liquidity (price impact) with a directional trend filter, the tool aims to highlight moments of extreme market stress, such as panic selling or euphoric buying, that often precede mean reversions or trend pauses. ● Originality and Utility Standard volume indicators often look at raw volume levels, which can be misleading during different times of the day or across different assets. This script calculates the efficiency of moving price (Illiquidity) and normalizes it statistically. This allows the trader to see when the market is becoming thin or stressed relative to recent history. It is particularly useful for contrarian traders looking for capitulation points within established trends, offering a unique perspective beyond standard RSI or MACD divergence. ● Methodology The core mechanism drives a custom Liquidity Engine that performs the following steps: Price Impact Calculation: It computes the ratio of the True Range to Volume. High values indicate that price is moving significant distances on relatively low volume or that volatility is extreme relative to participation. Normalization: The raw impact data is smoothed using a logarithmic scale to handle the wide variance in volume data. Statistical Scoring (Z-Score): The script calculates the Z-Score of this normalized data over a user-defined lookback period. This determines how many standard deviations the current liquidity stress is away from the mean. Trend Filtering: A standard Exponential Moving Average (EMA) determines the dominant market direction to contextualize the stress signal. ● How to Use The indicator plots labels on the chart when specific High Stress conditions are met during a trend: SE (Seller Exhaustion - Green Label): Appears when the market is in a downtrend (price below EMA), the current candle is bearish, and the liquidity stress Z-Score breaches the upper threshold. This suggests panic selling or a liquidity gap down, often marking a temporary bottom or reversal point. BE (Buyer Exhaustion - Red Label): Appears when the market is in an uptrend (price above EMA), the current candle is bullish, and the liquidity stress Z-Score breaches the upper threshold. This suggests a melt-up or buying climax into thin liquidity, often preceding a pullback. ● Inputs Trend Filter Length: The period for the EMA used to determine the baseline trend direction. Statistical Lookback: The number of bars used to calculate the mean and standard deviation for the Z-Score. Stress Threshold (Sigma): The Z-Score value required to trigger a high-stress signal. Higher values result in fewer, more extreme signals. ● Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Penunjuk Pine Script®
oleh MarkitTick
Elite Cumulative Volume Delta OscillatorOverview The Elite CVD+ is a premium-grade, session-resettable Cumulative Volume Delta indicator designed exclusively for professional futures and volume-profile traders. By focusing on the cleaner and more actionable Line-Focused mode, it transforms raw order flow data into a precise decision engine that reveals institutional buying/selling pressure, absorption, exhaustion, and high-probability reversal/continuation zones. Unlike standard CVD tools that accumulate indefinitely or reset awkwardly, this version resets cleanly at your chosen anchor period (default daily) while pulling granular delta from lower timeframes when desired. The result: a smooth, non-repainting line that highlights real-time shifts in aggressive participation without the noise of perpetual accumulation. Why This Indicator Is Elite-Level Useful True Institutional Footprint Cumulative Volume Delta measures the net aggressive buying (bid hits) vs. selling (ask hits). Sustained positive CVD = buyers in control; negative = sellers dominating. When price makes new highs on weakening CVD → classic bearish divergence signaling distribution. The session reset prevents old data from distorting current conviction, making divergences far more reliable than perpetual CVD. Early Reversal Detection via Absorption & Extremes Absorption highlighting flags scenarios where heavy delta pushes against price but price refuses to follow (e.g., massive selling into lows yet price holds or closes higher) — textbook trapping/retail stop-hunting. Session CVD extremes with dynamic test zones pinpoint where aggressive flow is exhausted. Price returning to test these levels often produces high-R:R reversals. Confluence-Rich Signals Dual EMAs provide trend/filter context (crossovers, zero-line bounces). Dynamic coloring instantly shows momentum strength. Extreme single-bar delta highlights climax buying/selling. Built-in regular + hidden divergences align order flow with price structure. Multi-Timeframe Consistency Optional custom lower-TF delta fetch ensures the same granular data regardless of chart timeframe — critical for traders who switch between 1-min execution charts and 15-min/1H analysis charts. Clean, Low-Lag Visuals Thick CVD line with intelligent coloring, subtle backgrounds, persistent extreme lines, and optional labels keep the pane readable even during fast markets. No clutter from inferior candle representations. How Professional Traders Use Elite CVD+ Most Successfully Primary Setup Framework Use on futures with reliable volume delta (ES, NQ, YM, CL, GC, etc.). Best timeframes: 3–15 minutes for intraday, 1H–4H for swing. Combine with price action structure (order blocks, fair value gaps, market profile highs/lows). Practical Tips for Maximum Edge Anchor Period: '1D' for regular session trading (resets at 00:00 exchange time). Use '1W' for weekly bias or '4H' for London/NY session-specific flow. Lower Timeframe Delta: Enable custom and set to '1' or '3' for maximum granularity on indices. Leave disabled on higher charts for smoother read. Absorption Tuning: Raise threshold to 80–90 on volatile instruments (NQ) to filter noise; lower to 70 on quieter ones (CL, GC). Divergences: Most powerful on 15M+. Disable hidden on very low TFs if too noisy. Alerts: Use the master “Any Event” alert for push/email/webhook notifications of zero crosses or new extremes — perfect for mobile monitoring. Combination Tools: Pair with session VWAP, volume profile (fixed range at highs/lows), or psychological levels for triple confluence.
Penunjuk Pine Script®
oleh Manifesting_Gains
4
AlgosPoint G&MPoint Breaking 2025 (MB&GB Breaking Point Pro) What It Does: A comprehensive TradingView indicator that combines multiple technical analysis tools to identify key market breakout points, support/resistance levels, and trading opportunities. It integrates Volume Profile analysis, AlphaTrend signals, and custom risk assessment metrics. Key Features: Volume Profile Analysis: Displays Point of Control (POC), Value Area High/Low (VAH/VAL), and volume distribution Support & Resistance Detection: Automatically identifies key price levels based on volume or price action AlphaTrend Signals: Generates BUY/SELL signals with visual labels on chart Volume Spike Detection: Highlights unusual volume activity indicating potential exhaustion or breakout High Volatility Alerts: Marks periods of increased market volatility using ATR Risk Assessment Dashboard: Real-time panel showing: Long/Short percentages (RSI-based) Stop levels for both directions Bot activity percentage Csocy Signal status (Safe/Undecided/Risky) How to Use: Add to Chart: Apply indicator to any timeframe (works best on 15m-4H) Configure Settings: Adjust parameters in grouped sections: 📊 General Settings (lookback periods) 🎯 Support & Resistance (line styles/colors) 💥 Volume Spike (threshold sensitivity) ⚡ High Volatility (ATR multiplier) 📈 Volume Profile (display options) 🔥 AlphaTrend (signal sensitivity) Read Signals: BUY label = Potential long entry when AlphaTrend crosses up SELL label = Potential short entry when AlphaTrend crosses down Dashboard colors: Green = bullish, Red = bearish, Yellow = neutral Set Alerts: Built-in alerts for price crosses, volume spikes, and signal confirmations Risk Management: Use displayed stop levels and Csocy Signal status to manage position sizing Best For: Day traders and swing traders Crypto, Forex, and Stock markets Identifying high-probability breakout zones Volume-based trading strategies
Penunjuk Pine Script®
oleh innoalgos
5
SMC Pro+ ICT v4 Enhanced - FINAL🎯 SMC Pro+ ICT v4 Enhanced - Complete Smart Money Trading System📊 Professional All-in-One Indicator for Smart Money Concepts & ICT MethodologyThe SMC Pro+ ICT v4 Enhanced is a comprehensive trading system that combines Smart Money Concepts (SMC) with Inner Circle Trader (ICT) methodology. This indicator provides institutional-grade market structure analysis, liquidity mapping, and volume profiling in one powerful package.✨ CORE FEATURES🏗️ Advanced Market Structure Detection MSS (Market Structure Shift) - Identifies major trend reversals with precision BOS (Break of Structure) - Confirms trend continuation moves CHoCH (Change of Character) - Detects internal structure shifts Modern LuxAlgo-Style Lines - Clean, professional visualization Dual Sensitivity System - External structure (major swings) + Internal structure (minor swings) Customizable Labels - Tiny, Small, or Normal sizes Structure Break Visualization - Clear break point markers 💎 Supply & Demand Zones (POI - Point of Interest) Institutional Order Blocks - Where smart money enters/exits ATR-Based Zone Sizing - Dynamically adjusted to market volatility Smart Overlap Detection - Prevents cluttered charts Historical Zone Tracking - Maintains up to 50 zones POI Central Lines - Pinpoint entry/exit levels Auto-Extension - Zones extend to current price Auto-Cleanup - Removes broken zones automatically 📦 Fair Value Gap (FVG) Detection Bullish & Bearish FVGs - Institutional inefficiencies Consequent Encroachment (CE) - 50% fill levels Auto-Delete Filled Gaps - Keeps charts clean Customizable Lookback - 1-30 days of history Color-Coded Zones - Easy visual identification CE Line Styles - Dotted, Dashed, or Solid 🚀 Enhanced PVSRA Volume Analysis This is one of the most powerful features: 200% Volume Candles - Extreme institutional activity (Lime/Red) 150% Volume Candles - High institutional interest (Blue/Fuchsia) Volume Climax Detection - Major reversal signals with 2.5x+ volume Exhaustion Signals - Identifies buying/selling exhaustion with high accuracy Enhanced Volume Divergence - NEW! High-quality reversal detection Price makes lower low, Volume makes higher low = Bullish Divergence Price makes higher high, Volume makes lower high = Bearish Divergence Strict trend context filtering for accuracy Rising/Falling Volume Patterns - Momentum confirmation (allows 1 exception in 3 bars) Volume Spread Analysis - Price range × Volume for true strength Body/Wick Ratio Analysis - Candle structure quality ATR Normalization - Adjusts for different market volatility Volume Profile Indicators - 🔥 EXTREME, ⚡ VERY HIGH, 📈 HIGH, ✅ ABOVE AVG 💧 Advanced Liquidity System Smart money targets these levels: Weekly High/Low Liquidity - Major institutional targets Daily High/Low Liquidity - Intraday key levels 4H Session Liquidity - Short-term targets Distance Indicators - Shows % distance from current price Strength Indicators - Identifies high-probability sweeps Swept Level Detection - Tracks executed liquidity grabs Customizable Line Styles - Width, length, offset controls Color-Coded Levels - Easy visual hierarchy 🎯 Master Bias System Data-driven directional bias with 9-factor scoring: Bull/Bear Bias Calculation - 0-100% scoring system Multi-Timeframe Analysis - Daily, 4H, 1H trend alignment Kill Zone Integration - London (2-5 AM) & NY (8-11 AM) sessions EMA Alignment Factor - Trend confirmation Volume Confirmation - Adds 5% when volume supports direction Range Filter Integration - Adds 10% for trending markets Session Context - Above/below session midpoint scoring Bias Strength Rating - STRONG (>75%), MODERATE (60-75%), WEAK (<60%) Real-Time Updates - Dynamic recalculation 📈 Premium & Discount Zones Fibonacci-based institutional pricing: Extreme Premium - Above 78.6% (Overvalued) Premium Zone - 61.8% - 78.6% (Expensive) Equilibrium - 38.2% - 61.8% (Fair Value) Discount Zone - 21.4% - 38.2% (Cheap) Extreme Discount - Below 21.4% (Undervalued) Visual Zone Boxes - Color-coded for instant recognition 200-500 Bar Lookback - Customizable range calculation 🔄 Range Filter Advanced trend detection: Smoothed Range Calculation - Eliminates noise Dynamic Support/Resistance - Auto-adjusting levels Upward/Downward Counters - Measures trend strength Color-Coded Line - Green (uptrend), Red (downtrend), Orange (ranging) Adjustable Period - 1-200 bars Multiplier Control - Fine-tune sensitivity (0.1-10.0) 🌊 Liquidity Zones (Vector Zones) PVSRA-based horizontal liquidity: Above Price Zones - Resistance clusters Below Price Zones - Support clusters Maximum 500 Zones - Professional-grade capacity Body/Wick Definition - Choose zone boundaries Auto-Cleanup - Removes cleared zones Color Override - Custom styling options Transparency Control - 0-100% opacity 📊 EMA System Triple EMA trend confirmation: Fast EMA (9) - Green line - Immediate trend Medium EMA (21) - Blue line - Short-term trend Slow EMA (50) - Red line - Major trend EMA Alignment Detection - Bull/Bear stack confirmation Dashboard Integration - Status: 📈 BULL ALIGN, 📉 BEAR ALIGN, 🔀 MIXED Adjustable Lengths - Customize all three EMAs (5-200) 🎯 IDM (Institutional Decision Maker) Levels Key institutional price levels: Latest IDM Detection - 20-bar pivot lookback Extended Lines - Projects 50 bars into future Customizable Styles - Solid, Dashed, or Dotted Line Width Control - 1-5 pixels Color Selection - Match your chart theme Price Label - Shows exact level with tick precision 📱 Professional Dashboard Real-time market intelligence panel: 🎯 SIGNAL - 🟢 LONG, 🔴 SHORT, ⏳ WAIT, 🛑 NO TRADE 🎲 BIAS - Bull/Bear with STRONG/MODERATE/WEAK rating 📊 BULL/BEAR Scores - 0-100% percentage display 💎 ZONE - Current premium/discount location 🕐 KZ - Kill Zone status (🇬🇧 LONDON/🇺🇸 NY/⏸️ OFF) 🏗️ STRUCT - Market structure status (BULLISH/BEARISH/NEUTRAL) ⚡ EVENT - Last structure event (MSS/BOS) ⚡ INT - Internal structure trend 🎯 IDM - Latest institutional level 📊 EMA - EMA alignment status 🔄 RF - Range Filter direction 📊 PVSRA - Volume status (🚀 CLIMAX/📈 RISING/📉 FALLING) 📅 MTF - Multi-timeframe alignment (✅ FULL/⚠️ PARTIAL/❌ CONFLICT) 💪 CONF - Confidence score (0-100%) 📊 VOL - Volume ratio (e.g., 1.8x average) Advanced Metrics (Toggle On/Off): 📏 RSI - Value + Status (OVERBOUGHT/STRONG/NEUTRAL/WEAK/OVERSOLD) 📈 MACD - Value + Direction (BULL/BEAR) 🌪️ VOL - Volatility state (⚠️ EXTREME/🔥 HIGH/📊 NORMAL/😴 LOW) 🔊 VOL PROF - Volume profile ratio ⏱️ TF - Current timeframe Dashboard Customization: 4 Positions - Top Left, Top Right, Bottom Left, Bottom Right 3 Sizes - Small, Normal, Large 2 Modes - Compact (MTF combined) or Full (separate rows) Professional Design - Dark theme with color-coded cells 🎮 TRADING SIGNALS & SETUP SCORING🟢 LONG Setup Requirements (9-Factor Confidence Score) MTF Alignment - Daily/4H/1H/Structure all bullish (+2 points for full, +1 for partial) Volume Confirmation - Above 1.2x average (+1 point) Structure Event - MSS or BOS bullish (+2 points) EMA Alignment - 9 > 21 > 50 (+1 point) Kill Zone Active - London/NY + Bull bias >75% (+2 points) Bias Match - Master bias matches structure trend (+1 point) Confidence Threshold - >60% minimum for signal 🔴 SHORT Setup Requirements Same 9-factor system but inverted for bearish conditions.💪 Confidence Levels 75-100% - ⭐ HIGH CONFIDENCE (Strong setup, all factors aligned) 50-74% - ⚠️ MODERATE (Good setup, partial alignment) 0-49% - ❌ LOW CONFIDENCE (Wait for better setup) 🎯 Signal Output 🟢 LONG - Bull bias + Bullish structure + >60% confidence 🔴 SHORT - Bear bias + Bearish structure + >60% confidence ⏳ WAIT LONG - Bull bias but low confidence ⏳ WAIT SHORT - Bear bias but low confidence 🛑 NO TRADE - Neutral bias or conflicting signals 🔔 COMPREHENSIVE ALERT SYSTEM (12 Alerts)Structure Alerts ⚡ MSS Bullish - Major bullish reversal ⚡ MSS Bearish - Major bearish reversal 📈 BOS Bullish - Bullish continuation 📉 BOS Bearish - Bearish continuation ⚠️ CHoCH Bullish - Internal bullish shift ⚠️ CHoCH Bearish - Internal bearish shift Bias & Confidence Alerts 🟢 Bias Shift Bull - Master bias turns bullish 🔴 Bias Shift Bear - Master bias turns bearish ⭐ High Confidence - Setup reaches 75%+ confidence Volume Alerts (High Probability) 🚀 Volume Climax Buy - Extreme bullish volume spike 💥 Volume Climax Sell - Extreme bearish volume spike ⚠️ Selling Exhaustion - Potential bullish reversal ⚠️ Buying Exhaustion - Potential bearish reversal 📊 Bullish Volume Divergence - High-quality bullish reversal signal 📊 Bearish Volume Divergence - High-quality bearish reversal signal 🎨 EXTENSIVE CUSTOMIZATIONColors & Styling ✅ All colors customizable for every component ✅ Supply/Demand zone colors + outlines ✅ FVG colors (bullish/bearish) ✅ PVSRA candle colors (6 types) ✅ Liquidity level colors (Weekly/Daily/4H/Swept) ✅ Structure line colors ✅ Premium/Equilibrium/Discount zone colorsDisplay Controls ✅ Toggle each feature on/off independently ✅ Adjustable sensitivities (Structure: 5-30, Internal: 3-15) ✅ Label size controls (Tiny/Small/Normal) ✅ Line width adjustments (1-5 pixels) ✅ Transparency controls (0-100%) ✅ Extension lengths (20-100 bars) ✅ Lookback periods (50-500 bars)Volume Settings ✅ PVSRA symbol override (trade one asset, analyze another) ✅ Climax threshold (2.0-5.0x) ✅ Rising volume bar count (2-5 bars) ✅ Divergence filters (Strict/Lenient) ✅ Divergence minimum bars (10-30) ✅ Volume threshold multiplier (1.0-2.0x)Dashboard Settings ✅ Position (4 corners) ✅ Size (Small/Normal/Large) ✅ Compact/Full mode ✅ Show/Hide advanced metrics ✅ Show/Hide EMA status💡 BEST PRACTICES & USAGE TIPS⏰ Optimal Timeframes Scalping - 1m, 5m (Use Kill Zones, Volume Climax, FVG) Day Trading - 5m, 15m, 1H (Use Structure, Liquidity, Bias) Swing Trading - 4H, Daily (Use MTF, Premium/Discount, Structure) Position Trading - Daily, Weekly (Use major structure, liquidity) 🎯 Asset Classes ✅ Forex - All pairs (especially majors during Kill Zones) ✅ Crypto - BTC, ETH, altcoins (24/7 liquidity) ✅ Stocks - All stocks and indices (use session times) ✅ Commodities - Gold, Silver, Oil (high volume periods) ✅ Indices - S&P 500, NASDAQ, DAX, etc.🔥 High-Probability Setups The Perfect Storm MSS in direction of daily trend Kill Zone active Volume climax Confidence >75% Price in discount (long) or premium (short) Volume Divergence Play Enhanced volume divergence signal CHoCH confirms direction change Price near liquidity level FVG forms for entry Liquidity Sweep Price sweeps weekly/daily high/low Immediate rejection (selling/buying exhaustion) Structure shift (MSS) Volume confirmation Structure Retest BOS breaks structure Price returns to POI/FVG Volume confirms (>1.2x) Kill Zone active 📊 Multi-Timeframe Analysis Higher Timeframe - Identify trend & structure (Daily/4H) Trading Timeframe - Find entries (15m/1H) Lower Timeframe - Precise entries (1m/5m) Look for MTF alignment - Dashboard shows ✅ FULL or ⚠️ PARTIAL ⚠️ Risk Management Always use stop-loss (below/above recent structure) Position size: 1-2% risk per trade Target liquidity levels for take profit Use supply/demand zones for SL placement Watch for exhaustion signals near targets
Penunjuk Pine Script®
oleh Arvind_Singh108
1
RSI Candles Pro [MTF]**RSI Candles Pro** ## **Overview** The RSI Candles Pro indicator provides an advanced framework for visualizing RSI momentum through candlestick representation, structural analysis, and multi-dimensional confirmation signals. Unlike conventional RSI oscillators that display only a line plot, this system transforms RSI into a complete OHLC candlestick chart with integrated strength metrics, structural break detection, divergence analysis, and dynamic support/resistance mapping. Each element adapts continuously to RSI behavior, offering traders a living map of momentum shifts, structural changes, and reversal potential. The indicator doesn't simply show overbought/oversold conditions—it quantifies momentum strength, tracks structural breaks, detects price-RSI divergences, and projects key inflection levels with precision. The result is a comprehensive, momentum-aware representation of market structure: - **RSI OHLC Candles** visualize momentum direction, strength, and conviction through candlestick patterns with dynamic color intensity. - **Strength Scoring System** quantifies momentum conviction using distance from neutral, momentum acceleration, and candle body characteristics. - **RSI Structure Lines & Zones** connect swing highs and lows, creating visual support/resistance zones within RSI space. - **Break of Structure (BOS) Detection** identifies decisive momentum shifts when RSI breaks previous structural levels, complete with projected support/resistance lines. - **Auto Pivot Horizontal Lines** dynamically map key RSI levels where price repeatedly reacts, serving as momentum inflection zones. - **Divergence Detection** captures classic bullish and bearish divergences between price action and RSI behavior, flagging potential reversal conditions. Unlike static RSI line plots or simple zone highlighting, RSI Candles Pro fuses candlestick visualization with structural awareness, strength quantification, and divergence analysis to provide a clear, multi-dimensional picture of momentum dynamics and potential turning points. --- ## **Theoretical Foundation** The RSI Candles Pro indicator builds on principles of **momentum oscillation theory**, **structural market analysis**, and **divergence recognition**—concepts widely used by technical analysts to identify trend strength, exhaustion, and reversal conditions. Standard RSI indicators display momentum as a single line crossing threshold levels, but this approach ignores critical dimensions: **momentum strength**, **structural context**, and **rate of change acceleration**. This indicator recognizes that RSI behavior can be decomposed into candlestick patterns that reveal conviction, hesitation, and reversal signals just as price candles do. At its core are six interacting components: ### **1. RSI OHLC Candlestick Construction** The indicator calculates RSI independently for open, high, low, and close prices within each bar, creating true RSI candlesticks rather than a single-line plot. This reveals: - **Momentum direction** (bullish vs. bearish candles) - **Momentum volatility** (wick length shows RSI range) - **Momentum conviction** (body size indicates decisiveness) - **Indecision patterns** (doji candles signal momentum exhaustion) ### **2. Strength Scoring Algorithm** A composite strength score quantifies momentum conviction by analyzing three factors: - **Distance from neutral (50 level)**: Greater distance indicates stronger directional bias - **Momentum acceleration**: Rate of RSI change over recent bars reveals building or fading momentum - **Body-to-range ratio**: Larger bodies relative to total candle range show decisive momentum vs. indecision This produces a 0-100 strength score that dynamically adjusts candle transparency—strong moves appear vibrant, weak moves appear faded—providing instant visual feedback on momentum quality. ### **3. RSI EMA with Slope-Sensitive Coloring** A smoothed exponential moving average of RSI serves as a trend filter, but with a critical enhancement: **dynamic color coding based on slope direction**. When the RSI EMA slopes upward, it displays in bullish color; when sloping downward, bearish color. This provides instant trend context and filters noise from raw RSI fluctuations. ### **4. RSI Structural Framework** The indicator identifies swing highs and lows within RSI space using pivot detection, then: - **Connects consecutive swings with lines** to visualize RSI trend channels - **Creates shaded zones between swings** to highlight support/resistance regions in momentum space - **Implements cooloff periods** to prevent redundant signals and maintain chart clarity These structural elements reveal whether RSI is forming higher highs/higher lows (bullish structure) or lower highs/lower lows (bearish structure). ### **5. Break of Structure (BOS) Logic** The system detects **decisive momentum shifts** when RSI breaks previous structural levels in alignment with RSI EMA trend direction: - **Bullish BOS**: RSI breaks above previous swing high while RSI EMA is rising - **Bearish BOS**: RSI breaks below previous swing low while RSI EMA is falling When BOS occurs, the indicator automatically: - Places a BOS label at the breakout point - Projects a support/resistance line forward (20+ bars) - Creates a shaded zone around the S/R level - Provides tooltip information with exact S/R values This gives traders actionable levels where momentum shifts may be defended or rejected. ### **6. Price-RSI Divergence Detection** Classic divergence analysis identifies conditions where price and momentum disagree: - **Bullish Divergence**: Price makes lower low, RSI makes higher low (momentum refusing to confirm weakness) - **Bearish Divergence**: Price makes higher high, RSI makes lower high (momentum weakening despite price strength) Divergences often precede significant reversals, providing early warning signals before price structure breaks. ### **7. Auto Pivot Horizontal Lines** The indicator dynamically tracks historical RSI pivot points and plots horizontal lines at these levels, extended forward in time. These act as **momentum support/resistance zones**—levels where RSI has repeatedly turned in the past and may respect again in the future. The system: - Detects unique pivot levels (filtering duplicates within 2 RSI points) - Maintains a configurable maximum number of lines per side - Optionally extends lines infinitely right for persistent reference - Labels each line with its exact RSI value By integrating these elements, the indicator provides both micro-level momentum analysis (individual candle strength) and macro-level structural context (swing patterns, BOS events, divergences, key levels), maintaining clarity while revealing momentum dynamics in real time. --- ## **How It Works** The RSI Candles Pro indicator operates through layered processing stages: ### **Stage 1: RSI OHLC Calculation** - Four independent RSI calculations are performed for each bar: RSI(open), RSI(high), RSI(low), RSI(close) - These are combined to form RSI candlesticks: - **RSI Open/Close**: Determines candle body direction and size - **RSI High**: Highest value among all four RSI calculations becomes upper wick - **RSI Low**: Lowest value among all four RSI calculations becomes lower wick - This creates a complete candlestick representation in RSI space that mirrors price action behavior ### **Stage 2: Strength Score Computation** For each RSI candle, a composite strength score is calculated: This score drives **dynamic transparency**: strong moves (score > 70) display with high opacity, weak moves (score < 40) display faded, providing instant visual feedback on momentum quality. ### **Stage 3: RSI EMA Trend Filter** - An exponential moving average smooths RSI values over a configurable period (default 9) - The slope is calculated: `rsiEmaSlope = rsiEMA - rsiEMA ` - Dynamic coloring: - **Positive slope** → Green/Bullish color - **Negative slope** → Red/Bearish color - **Flat slope** → Gray/Neutral color - This provides trend context and filters out noise from raw RSI oscillations ### **Stage 4: Structural Swing Detection** - Swing highs and lows are identified using pivot detection with configurable lookback (default 5 bars left/right) - **Cooloff mechanism** prevents redundant signals by requiring minimum bars between swings (default 8) - When new swings are detected: - Previous swing values are stored for BOS comparison - Lines connect consecutive swings to visualize momentum structure - Shaded boxes (zones) highlight the range between swings as support/resistance regions ### **Stage 5: Break of Structure (BOS) Analysis** The system monitors RSI behavior relative to previous structural levels: **Bullish BOS triggers when:** 1. RSI EMA slope is positive (uptrend filter) 2. Current RSI close exceeds previous swing high 3. Previous bar's RSI was below that swing high (confirms break) 4. Cooloff period has elapsed since last bullish BOS (default 10 bars) **Bearish BOS triggers when:** 1. RSI EMA slope is negative (downtrend filter) 2. Current RSI close breaks below previous swing low 3. Previous bar's RSI was above that swing low (confirms break) 4. Cooloff period has elapsed since last bearish BOS Upon BOS detection, the indicator automatically: - Places a labeled marker at the breakout point - Calculates S/R level with buffer (e.g., RSI low - 0.5 points for bullish BOS) - Draws a dashed S/R line extending forward (configurable, default 20 bars) - Creates a shaded S/R zone (±0.5 points from line) - Adds an "S/R" label at the line's end ### **Stage 6: Auto Pivot Line Management** - Pivot highs and lows are detected using a separate lookback period (default 5) - When a new pivot forms: - System checks if a similar level already exists (within 2 RSI points) - If unique, adds a horizontal line at that RSI value - Lines are stored in arrays with configurable maximum capacity (default 4 per side) - Oldest lines are automatically removed when capacity is exceeded - Optional labels display exact RSI values at pivot levels ### **Stage 7: Divergence Detection** The system compares price pivot points with RSI pivot points: **Bearish Divergence:** - Price makes higher high compared to previous pivot high - RSI makes lower high compared to previous RSI pivot high - RSI must be above 50 (mid-level) to confirm overbought context - Triangle-down marker placed above candle with "DIV" text **Bullish Divergence:** - Price makes lower low compared to previous pivot low - RSI makes higher low compared to previous RSI pivot low - RSI must be below 50 to confirm oversold context - Triangle-up marker placed below candle with "DIV" text ### **Stage 8: Strength Dot Visualization** Colored dots appear according to Delta Volume strength: ### **Stage 9: Real-Time Info Table** Through these processes, the indicator creates a living, adaptive representation of RSI behavior that reveals both momentum strength and structural context in real time. --- ## **Interpretation** The RSI Candles Pro indicator reframes momentum reading from simple overbought/oversold levels to structured awareness of momentum behavior: ### **Candle Patterns** - **Large-bodied bullish candles (vibrant green)**: Strong, decisive bullish momentum—continuation likely - **Large-bodied bearish candles (vibrant red)**: Strong, decisive bearish momentum—continuation likely - **Small-bodied or doji candles (faded/gray)**: Indecision or momentum exhaustion—reversal possible - **Long upper wicks**: Failed bullish momentum—rejection at resistance - **Long lower wicks**: Failed bearish momentum—support holding ### **RSI EMA Trend Context** - **RSI EMA rising (green)**: Momentum uptrend—favor bullish setups - **RSI EMA falling (red)**: Momentum downtrend—favor bearish setups - **RSI EMA flat (gray)**: Momentum consolidation—wait for directional clarity ### **Structural Analysis** - **RSI making higher swing lows with rising EMA**: Bullish structure intact—look for dip-buying opportunities - **RSI making lower swing highs with falling EMA**: Bearish structure intact—look for rally-selling opportunities - **Shaded structure zones**: Key support/resistance in momentum space—expect reactions at these levels ### **Break of Structure Signals** - **Bullish BOS + S/R line**: Momentum confirming upward shift—S/R line becomes support if price dips - **Bearish BOS + S/R line**: Momentum confirming downward shift—S/R line becomes resistance if price rallies - **S/R line break**: Momentum structure failing—potential reversal or deeper retracement ### **Pivot Lines** - **Price approaching RSI pivot high**: Momentum resistance—watch for rejection or breakout - **Price approaching RSI pivot low**: Momentum support—watch for bounce or breakdown - **Multiple pivot lines clustered**: Strong momentum support/resistance zone—high-probability reaction area ### **Divergences** - **Bullish divergence in oversold zone**: Momentum refusing to make new lows despite price weakness—reversal setup - **Bearish divergence in overbought zone**: Momentum weakening despite price strength—reversal setup - **Divergence + structure break**: High-conviction reversal signal—combined technical and momentum confirmation ### **Strength Dots** - **Large dots**: High-conviction moves—reliable trend continuation signals - **Small dots**: Low-conviction moves—increased reversal risk, avoid chasing - **Diamond warnings in extremes**: Overextended conditions—prepare for mean reversion ### **Zone Background** - **Red background (RSI > 70)**: Overbought—watch for bearish divergence or momentum exhaustion - **Green background (RSI < 30)**: Oversold—watch for bullish divergence or momentum recovery - **No background (30-70)**: Neutral zone—rely on structure and BOS for directional bias --- ## **Strategy Integration** RSI Candles Pro integrates seamlessly into momentum-based and reversal trading systems: ### **Trend Continuation Strategies** - **Entry trigger**: Bullish BOS in rising RSI EMA context with strong candle (large dot) - **Confirmation**: Price respecting S/R line as support on pullback - **Exit**: Bearish divergence or RSI candle indecision (doji) at pivot resistance ### **Reversal Strategies** - **Setup**: Divergence forming in extreme zone (RSI > 70 or < 30) - **Trigger**: RSI structure break opposite to prevailing trend (bearish BOS in uptrend) - **Confirmation**: RSI EMA slope change + decisive candle in reversal direction - **Entry**: On pullback to S/R line or pivot level ### **Momentum Fade Strategies** - **Signal**: Small strength dots appearing in extreme zones - **Setup**: RSI touching pivot resistance/support with indecision candle - **Entry**: Opposite-direction candle with medium/large dot - **Stop**: Beyond recent RSI structure level ### **Structure-Based Entries** - **Align higher-timeframe RSI trend** (EMA slope direction) - **Wait for lower-timeframe BOS** in alignment with higher trend - **Enter on retest** of S/R line with strength confirmation (large dot) - **Scale out** at next pivot level or divergence signal ### **Multi-Indicator Confluence** Combine RSI Candles Pro with: - **Price structure indicators** (Smart Money Concepts, market structure) for trade direction - **Volume indicators** to confirm momentum with participation - **Volatility indicators** (ATR, Bollinger Bands) for position sizing context - **Institutional Zone Detector** for volume profile alignment—RSI BOS + price at VAL/VAH = high-conviction entry ### **Multi-Timeframe Coordination** - **Higher timeframe** (4H-Daily): Identify RSI EMA trend direction and major structure - **Lower timeframe** (15min-1H): Execute entries on BOS signals aligned with higher timeframe - **Micro timeframe** (1-5min): Fine-tune entries using strength dots and pivot reactions --- ## **Technical Implementation Details** ### **Core Engine** - **RSI OHLC calculation**: Four independent RSI computations per bar create candlestick representation - **Strength scoring**: Multi-factor composite algorithm quantifies momentum conviction - **Dynamic transparency**: Real-time opacity adjustment based on strength score ### **Structural Framework** - **Pivot-based swing detection**: Configurable left/right bar lookback with cooloff mechanism - **Line and zone visualization**: Connects consecutive swings with shaded support/resistance regions - **Array-based storage**: Previous swing values preserved for BOS comparison logic ### **BOS Detection Engine** - **Dual-condition logic**: Structure break + trend alignment (RSI EMA slope) required - **Automatic S/R projection**: Lines, zones, and labels generated upon BOS events - **Cooloff management**: Prevents signal spam during extended directional moves ### **Divergence System** - **Price-RSI pivot comparison**: Detects higher-high/lower-high and lower-low/higher-low patterns - **Zone filtering**: Divergences only trigger in appropriate zones (above/below 50) - **Visual markers**: Triangle shapes with "DIV" text for instant recognition ### **Auto Pivot Management** - **Dynamic level tracking**: Arrays store lines, values, and labels - **Duplicate filtering**: Prevents redundant lines within 2 RSI points - **Capacity control**: Automatic removal of oldest lines when maximum reached - **Optional extension**: Lines can extend infinitely right for persistent reference ### **Performance Profile** - **Lightweight computation**: Efficient pivot detection and array management - **Real-time responsiveness**: Immediate updates on bar close - **Scalable across timeframes**: Maintains clarity from 1-minute to daily charts - **Configurable visual elements**: All features can be toggled for custom layouts --- ## **Optimal Application Parameters** ### **Timeframe Guidance** **1-5 Minute Charts (Scalping):** - RSI Length: 9-11 (faster response) - RSI EMA Length: 5-7 - Structure Lookback: 3-4 - Pivot Lookback: 3-4 - Use Case: Micro momentum shifts, quick BOS entries **15-60 Minute Charts (Intraday Swing):** - RSI Length: 14 (standard) - RSI EMA Length: 9 - Structure Lookback: 5 - Pivot Lookback: 5 - Use Case: Intraday structure breaks, divergence reversals **4 Hour - Daily Charts (Position Trading):** - RSI Length: 14-21 - RSI EMA Length: 13-21 - Structure Lookback: 7-10 - Pivot Lookback: 7-10 - Use Case: Major momentum shifts, high-timeframe divergences ### **Suggested Configuration (Default)** - **RSI Length**: 14 (industry standard) - **RSI EMA Length**: 9 (smooth but responsive) - **Overbought Level**: 70 - **Oversold Level**: 30 - **Structure Lookback**: 5 bars - **Structure Cooloff**: 8 bars - **BOS Cooloff**: 10 bars - **S/R Extension**: 20 bars - **S/R Buffer**: 0.5 RSI points - **Pivot Lookback**: 5 bars - **Max Pivot Lines**: 4 per side - **Divergence Lookback**: 5 bars - Use strength dots as primary filter—require large dots for entries - Rely heavily on divergences and structure zones **Trending Markets:** - Focus on BOS signals aligned with RSI EMA slope - Use pivot lines as profit targets - Ignore counter-trend divergences until RSI EMA changes slope **Ranging Markets:** - Emphasize divergences at extreme levels - Trade bounces from pivot lines - Reduce reliance on BOS signals (more false breaks) --- ## **Performance Characteristics** ### **High Effectiveness:** - **Trending markets with clear momentum cycles**: RSI structure aligns with price structure for reliable BOS signals - **Markets with defined swing patterns**: Pivot lines and structure zones provide accurate support/resistance - **Divergence-prone assets**: Assets that respect momentum/price divergences (equities, major FX pairs) - **Timeframes with sufficient volatility**: RSI candles show meaningful patterns when price moves decisively ### **Reduced Effectiveness:** - **Choppy, sideways markets**: RSI oscillates around 50 with no structural pattern, generating false BOS signals - **Low-liquidity assets**: Erratic price action creates unreliable RSI swings - **News-driven volatility spikes**: Sudden moves invalidate structure and create whipsaws - **Extremely low timeframes (< 1 minute)**: Noise overwhelms signal, structure breaks lack follow-through ### **Optimal Market Conditions:** - **Clear momentum phases** with defined RSI EMA trend - **Respect for previous swing levels** in RSI space - **Volume participation** during BOS events (combine with volume indicator) - **Alignment between RSI structure and price structure** --- ## **Integration Guidelines** ### **Confluence Framework** Combine RSI Candles Pro with: 1. **Volume analysis** (Institutional Zone Detector, volume profile) to confirm RSI BOS with volume participation 2. **Price structure** (Smart Money Concepts, order blocks) to align RSI momentum with price levels 3. **Trend indicators** (moving averages, Supertrend) for higher-timeframe directional bias 4. **Volatility indicators** (ATR, Bollinger Bands) for stop-loss and profit target placement ### **Directional Control** - **Never trade against RSI EMA slope** unless high-conviction divergence present - **Require BOS alignment** with RSI EMA direction for continuation trades - **Wait for RSI EMA slope change** before taking counter-trend reversals ### **Risk Calibration** - **Stop-loss placement**: Beyond recent RSI structure swing (converted to price) - **Position sizing**: Larger positions for strong candles (large dots) at BOS events - **Profit targets**: Next pivot line level or opposite-zone boundary (70/30) - **Trail stops**: Use S/R lines as trailing stop levels after BOS ### **Multi-Timeframe Synergy** 1. **Check higher timeframe** (3x-5x current): RSI EMA slope and major structure 2. **Identify current timeframe**: BOS events and divergences 3. **Execute on lower timeframe** (1/3x-1/5x current): Strength-confirmed entries at pivot levels 4. **Align all timeframes**: Only trade when RSI structure agrees across timeframes ### **Alert Strategy** Enable alerts for: - **RSI BOS events**: Immediate notification of momentum structure breaks - **Divergences**: Early warning of potential reversals - **Extreme zone entries**: RSI crossing 70/30 levels - **RSI EMA trend changes**: Shifts in momentum trend direction --- ## **Disclaimer** The RSI Candles Pro indicator is a professional-grade momentum visualization and structural analysis tool. It is not predictive or guaranteed profitable; performance depends on parameter tuning, market regime, and disciplined execution. **Key Considerations:** - RSI is a **derivative indicator** (calculated from price), not a leading indicator—it confirms momentum but does not predict future price - **Divergences can persist** for extended periods; early entries may require multiple attempts - **BOS signals may fail** in choppy markets; always use stop-losses and risk management - **Optimal parameters vary** by asset, timeframe, and volatility regime—backtesting recommended - **No indicator works in isolation**; combine with price action, volume, and market context **Best Practices:** - Paper trade new configurations before risking capital - Maintain a trading journal to identify which signals work best for your style - Adjust cooloff periods and lookback lengths based on asset characteristics - Use in conjunction with fundamental analysis and broader market context - Never risk more than 1-2% of capital per trade, regardless of indicator signals This indicator is designed to enhance decision-making, not replace it. Traders should integrate RSI Candles Pro into a comprehensive analytical framework that includes price structure, volume analysis, and risk management protocols. Success requires consistent application of tested strategies, emotional discipline, and continuous adaptation to changing market conditions.
Penunjuk Pine Script®
oleh AMITTHEDAYTRADER
Fabio-Style Order Flow SystemFabio-Style Order Flow System — LVN • Delta • Big Trades • FVG • Order Blocks • Liquidity • Volume Profile This indicator brings together all major components of Fabio Valentino’s order-flow strategy in one unified tool. It visualizes where smart money is active, where inefficiencies form, and where price is likely to react next. 🔍 FEATURES 1. Order Flow & Delta Smoothed delta to show true market imbalance Background color shifts to bullish/bearish delta dominance Alerts for delta spikes & order-flow flips 2. Big Trade Detection Highlights Big Buy and Big Sell prints (relative to average volume) Helps identify institutional aggression on both sides 3. Low Volume Nodes (LVNs) Automatically detects low-volume zones Flags retests of LVNs for high-probability reactions Uses dynamic volume thresholds for accuracy 4. Volume Profile (Lightweight) Bucket-based intrabar profile across user-defined lookback Highlights volume distribution without heavy TradingView CPU load Auto-scales bucket density & transparency 5. Fair Value Gaps (FVGs) Detects both bullish & bearish three-bar imbalances Marks gaps visually using colored boxes Updates dynamically with a user-set lookback 6. Order Blocks (OBs) Identifies valid displacement bars and their origin OB Plots clean, minimalist rectangles around key OB zones Uses ATR-based impulse filtering 7. Liquidity Grabs Detects wick-based liquidity sweeps Highlights both equal high/low and stop-run type wicks Useful for spotting reversals & trap setups 8. Strategy Dashboard Shows real-time order flow state Displays delta strength, big trades, LVNs, and last directional impulse Auto-positions in all corners 🎯 PERFECT FOR Traders who use: Order Flow Smart Money Concepts (SMC) ICT / FVG / Liquidity models Market Structure + Volume Fabio Valentino-style analysis ⚙️ PERFORMANCE All elements optimized Uses automatic box-clearing to avoid array overload Works on all timeframes & markets (crypto, FX, indices, stocks)
Penunjuk Pine Script®
oleh SaaETH
NR-VP-Period with VAH/VAL V.1.0Description This indicator combines several useful trading tools into one package so you don’t need to load multiple scripts on your chart. It includes a built-in lot size calculator, session high-low zones, a custom volume profile with VPOC, VAH and VAL, previous-day high/low levels, pivot points and inside-bar detection. Each feature has its own on/off switch so you can keep the chart as clean or detailed as you want. 1. Lot Size Calculator The script calculates position size based on your entry price, stop loss, account balance and risk percentage. It identifies whether the setup is a buy or sell and displays the results in a compact table on the chart, including SL distance in pips, risk amount and the final lot size. 2. Session High-Low Boxes It draws high, low and mid lines for three intraday sessions: Asia, Midnight and London. Each session creates a dynamic box on the chart with optional extended lines to highlight future reaction levels. All colors and time windows can be customized. 3. Volume Profile with VPOC / VAH / VAL The script calculates a multi-day volume profile at a custom resolution. It shows the VPOC line, the highest and lowest prices within the profile range, and the value area boundaries (VAH and VAL) based on your chosen percentage. Optional horizontal volume bars can be added for extra clarity. All elements can be toggled on or off. 4. Daily High and Low It plots the previous day’s high and low with fully adjustable colors and line width. The levels update automatically and extend across the chart. 5. Pivot Points The indicator detects automatic swing highs and lows (pivot points) using a configurable left/right length. Each pivot is marked with a small label and an extended dotted line. 6. Inside Bar Highlights The script includes an inside bar detection system so you can visually track potential breakout or compression zones.
Penunjuk Pine Script®
oleh TheZoneTraderWorld
🌊 QUANTUM FLOW PRO - Ultimate Trading System🌊 QUANTUM FLOW PRO - Ultimate Trading System Description: QUANTUM FLOW PRO (QFP) is a comprehensive, all-in-one professional trading ecosystem designed for Crypto, Forex, and Stock markets. Unlike simple indicators that rely on a single metric, QFP combines Trend Analysis, Volume Profiles, Order Flow, and Institutional Accumulation logic into a single, powerful decision-making engine. This system calculates a "Signal Score" (0-100) for every potential trade by analyzing over 10 different technical factors simultaneously. 🚀 KEY FEATURES 1. 🧠 Smart Signal Scoring System Every Buy or Sell signal is not just a guess; it is the result of a complex calculation. The system evaluates: Trend: SuperTrend & EMA confluence. Momentum: RSI, MACD, and Stochastic levels. Volume: Money Flow, OBV, and Volume Z-Score. Multi-Timeframe (HTF): Checks 4H and Daily trends for confirmation. Result: You get a score (e.g., 85/100) indicating the probability of success. 2. 🐋 Whale & Accumulation Detection Identify where big players are positioning themselves before the move happens. Purple Zones: High Accumulation areas (potential explosive breakouts). Whale Activity: Detects unusual volume spikes often associated with institutional entries. Consolidation: Measures volatility contraction to predict expansion. 3. 🔵 Order Flow & Pressure Visualize the battle between buyers and sellers directly on the chart. Green/Red Dots: Show real-time Buying or Selling pressure based on price-volume divergence. Order Walls: Identifies potential liquidity zones where price might stall or reverse. 4. 💰 Advanced Risk Management Stop guessing your exits. QFP provides dynamic levels automatically: Entry, Stop Loss, and 3 Take Profit Levels. Methods: Choose between ATR-based (Volatility), Fibonacci-based, or a Hybrid calculation. Win Probability: Shows the statistical probability of reaching the next target (DN1, DN2, DN3). 5. 📊 Professional Dashboard A sleek, non-intrusive panel displaying: Current Trend & Strength. HTF Status. RSI, MACD, VWAP status. Accumulation Score & Volume Health. 🛠️ HOW TO USE Select your Mode: Conservative: Best for beginners. Fewer signals, higher confirmation (Wait 30 bars). Balanced: Standard approach for day trading. Aggressive: For scalping and volatile markets. Wait for a Signal: Look for the "STRONG BUY" (Green Triangle) or "STRONG SELL" (Red Triangle) labels. Check the Score on the label (e.g., Score: 75/60). Higher is better. Confirm with Dashboard: Ensure the "Trend" and "HTF" (Higher Timeframe) match the signal direction. Look for "Healthy" volume. Execute & Manage: Enter the trade. Place your Stop Loss at the suggested SL line. Take partial profits at TP1 and TP2. Move SL to Breakeven after TP1 is hit (the script suggests this visually). ⚙️ SETTINGS OVERVIEW Market Type: Optimize calculations for Crypto, Forex, or Stocks (BIST). Risk Level: Low, Medium, High (Adjusts the signal threshold score). TP Method: Hybrid (Recommended) blends ATR and Fib levels for precision. ⚠️ DISCLAIMER This tool is for educational and analytical purposes only. Trading involves significant risk. Always perform your own due diligence and never trade with money you cannot afford to lose
Penunjuk Pine Script®
oleh innoalgos
13
RSI ✶ YSTCThis is a Bonus Indicator from YSTC's Volume Profile Tools. Relative Strength Index (RSI) A momentum based oscillator which is used to measure the speed (velocity) as well as the change (magnitude) of directional price movements. What Different about this RSI by YSTC. You get Support and Resistance lines for RSI which are 20, 30, 40, 50, 60, 70, 80. as shown below. It can also show RSI Candles as shown below. For those who want all types of MA with MA Cross can play with this indicator. Below is MA Cross of 9, 21. And for NEW user with untrained eyes who cant yet detect Divergence this indicator Saves you the trouble of finding. Below is Regular Bullish and Bearish Divergence. Linewidth 2. Below is Hidden Bullish and Bearish Divergence. Linewidth 1. You can add this script to your chart by clicking "Add to favorites" button. Have Questions ? Contact: +91 9637070868. Name: Yogesh Patil (YS Trading Coach). Time: Monday to Saturday (10:00 AM - 06:00 PM). Visit our website - YS Trading Coach . FREE Self Study Yourself Course: Trading with Price Action Volume . Free Stock Market Introduction Available here . Paid Course: Trading with Price Action Volume Paid Volume Profile Tools available here.
Penunjuk Pine Script®
oleh YSTC
Algorithm Predator - ProAlgorithm Predator - Pro: Advanced Multi-Agent Reinforcement Learning Trading System Algorithm Predator - Pro combines four specialized market microstructure agents with a state-of-the-art reinforcement learning framework . Unlike traditional indicator mashups, this system implements genuine machine learning to automatically discover which detection strategies work best in current market conditions and adapts continuously without manual intervention. Core Innovation: Rather than forcing traders to interpret conflicting signals, this system uses 15 different multi-armed bandit algorithms and a full reinforcement learning stack (Q-Learning, TD(λ) with eligibility traces, and Policy Gradient with REINFORCE) to learn optimal agent selection policies. The result is a self-improving system that gets smarter with every trade. Target Users: Swing traders, day traders, and algorithmic traders seeking systematic signal generation with mathematical rigor. Suitable for stocks, forex, crypto, and futures on liquid instruments (>100k daily volume). Why These Components Are Combined The Fundamental Problem No single indicator works consistently across all market regimes. What works in trending markets fails in ranging conditions. Traditional solutions force traders to manually switch indicators (slow, error-prone) or interpret all signals simultaneously (cognitive overload). This system solves the problem through automated meta-learning: Deploy multiple specialized agents designed for specific market microstructure conditions, then use reinforcement learning to discover which agent (or combination) performs best in real-time. Why These Specific Four Agents? The four agents provide orthogonal failure mode coverage —each agent's weakness is another's strength: Spoofing Detector - Optimal in consolidation/manipulation; fails in trending markets (hedged by Exhaustion Detector) Exhaustion Detector - Optimal at trend climax; fails in range-bound markets (hedged by Liquidity Void) Liquidity Void - Optimal pre-breakout compression; fails in established trends (hedged by Mean Reversion) Mean Reversion - Optimal in low volatility; fails in strong trends (hedged by Spoofing Detector) This creates complete market state coverage where at least one agent should perform well in any condition. The bandit system identifies which one without human intervention. Why Reinforcement Learning vs. Simple Voting? Traditional consensus systems have fatal flaws: equal weighting assumes all agents are equally reliable (false), static thresholds don't adapt, and no learning means past mistakes repeat indefinitely. Reinforcement learning solves this through the exploration-exploitation tradeoff: Continuously test underused agents (exploration) while primarily relying on proven winners (exploitation). Over time, the system builds a probability distribution over agent quality reflecting actual market performance. Mathematical Foundation: Multi-armed bandit problem from probability theory, where each agent is an "arm" with unknown reward distribution. The goal is to maximize cumulative reward while efficiently learning each arm's true quality. The Four Trading Agents: Technical Explanation Agent 1: 🎭 Spoofing Detector (Institutional Manipulation Detection) Theoretical Basis: Market microstructure theory on order flow toxicity and information asymmetry. Based on research by Easley, López de Prado, and O'Hara on high-frequency trading manipulation. What It Detects: 1. Iceberg Orders (Hidden Liquidity Absorption) Method: Monitors volume spikes (>2.5× 20-period average) with minimal price movement (<0.3× ATR) Formula: score += (close > open ? -2.5 : 2.5) when volume > vol_avg × 2.5 AND abs(close - open) / ATR < 0.3 Interpretation: Large volume without price movement indicates institutional absorption (buying) or distribution (selling) using hidden orders Signal Logic: Contrarian—fade false breakouts caused by institutional manipulation 2. Spoofing Patterns (Fake Liquidity via Layering) Method: Analyzes candlestick wick-to-body ratios during volume spikes Formula: if upper_wick > body × 2 AND volume_spike: score += 2.0 Mechanism: Spoofing creates large wicks (orders pulled before execution) with volume evidence Signal Logic: Wick direction indicates trapped participants; trade against the failed move 3. Post-Manipulation Reversals Method: Tracks volume decay after manipulation events Formula: if volume > vol_avg × 3 AND volume / volume < 0.3: score += (close > open ? -1.5 : 1.5) Interpretation: Sharp volume drop after manipulation indicates exhaustion of manipulative orders Why It Works: Institutional manipulation creates detectable microstructure anomalies. While retail traders see "mysterious reversals," this agent quantifies the order flow patterns causing them. Parameter: i_spoof (sensitivity 0.5-2.0) - Controls detection threshold Best Markets: Consolidations before breakouts, London/NY overlap windows, stocks with institutional ownership >70% Agent 2: ⚡ Exhaustion Detector (Momentum Failure Analysis) Theoretical Basis: Technical analysis divergence theory combined with VPIN reversals from market microstructure literature. What It Detects: 1. Price-RSI Divergence (Momentum Deceleration) Method: Compares 5-bar price ROC against RSI change Formula: if price_roc > 5% AND rsi_current < rsi : score += 1.8 Mathematics: Second derivative detecting inflection points Signal Logic: When price makes higher highs but momentum makes lower highs, expect mean reversion 2. Volume Exhaustion (Buying/Selling Climax) Method: Identifies strong price moves (>5% ROC) with declining volume (<-20% volume ROC) Formula: if price_roc > 5 AND vol_roc < -20: score += 2.5 Interpretation: Price extension without volume support indicates retail chasing while institutions exit 3. Momentum Deceleration (Acceleration Analysis) Method: Compares recent 3-bar momentum to prior 3-bar momentum Formula: deceleration = abs(mom1) < abs(mom2) × 0.5 where momentum significant (> ATR) Signal Logic: When rate of price change decelerates significantly, anticipate directional shift Why It Works: Momentum is lagging, but momentum divergence is leading. By comparing momentum's rate of change to price, this agent detects "weakening conviction" before reversals become obvious. Parameter: i_momentum (sensitivity 0.5-2.0) Best Markets: Strong trends reaching climax, parabolic moves, instruments with high retail participation Agent 3: 💧 Liquidity Void Detector (Breakout Anticipation) Theoretical Basis: Market liquidity theory and order book dynamics. Based on research into "liquidity holes" and volatility compression preceding expansion. What It Detects: 1. Bollinger Band Squeeze (Volatility Compression) Method: Monitors Bollinger Band width relative to 50-period average Formula: bb_width = (upper_band - lower_band) / middle_band; triggers when < 0.6× average Mathematical Foundation: Regression to the mean—low volatility precedes high volatility Signal Logic: When volatility compresses AND cumulative delta shows directional bias, anticipate breakout 2. Volume Profile Gaps (Thin Liquidity Zones) Method: Identifies sharp volume transitions indicating few limit orders Formula: if volume < vol_avg × 0.5 AND volume < vol_avg × 0.5 AND volume > vol_avg × 1.5 Interpretation: Sudden volume drop after spike indicates price moved through order book to low-opposition area Signal Logic: Price accelerates through low-liquidity zones 3. Stop Hunts (Liquidity Grabs Before Reversals) Method: Detects new 20-bar highs/lows with immediate reversal and rejection wick Formula: if new_high AND close < high - (high - low) × 0.6: score += 3.0 Mechanism: Market makers push price to trigger stop-loss clusters, then reverse Signal Logic: Enter reversal after stop-hunt completes Why It Works: Order book theory shows price moves fastest through zones with minimal liquidity. By identifying these zones before major moves, this agent provides early entry for high-reward breakouts. Parameter: i_liquidity (sensitivity 0.5-2.0) Best Markets: Range-bound pre-breakout setups, volatility compression zones, instruments prone to gap moves Agent 4: 📊 Mean Reversion (Statistical Arbitrage Engine) Theoretical Basis: Statistical arbitrage theory, Ornstein-Uhlenbeck mean-reverting processes, and pairs trading methodology applied to single instruments. What It Detects: 1. Z-Score Extremes (Standard Deviation Analysis) Method: Calculates price distance from 20-period and 50-period SMAs in standard deviation units Formula: zscore_20 = (close - SMA20) / StdDev(50) Statistical Interpretation: Z-score >2.0 means price is 2 standard deviations above mean (97.5th percentile) Trigger Logic: if abs(zscore_20) > 2.0: score += zscore_20 > 0 ? -1.5 : 1.5 (fade extremes) 2. Ornstein-Uhlenbeck Process (Mean-Reverting Stochastic Model) Method: Models price as mean-reverting stochastic process: dx = θ(μ - x)dt + σdW Implementation: Calculates spread = close - SMA20, then z-score of spread vs. spread distribution Formula: ou_signal = (spread - spread_mean) / spread_std Interpretation: Measures "tension" pulling price back to equilibrium 3. Correlation Breakdown (Regime Change Detection) Method: Compares 50-period price-volume correlation to 10-period correlation Formula: corr_breakdown = abs(typical_corr - recent_corr) > 0.5 Enhancement: if corr_breakdown AND abs(zscore_20) > 1.0: score += zscore_20 > 0 ? -1.2 : 1.2 Why It Works: Mean reversion is the oldest quantitative strategy (1970s pairs trading at Morgan Stanley). While simple, it remains effective because markets exhibit periodic equilibrium-seeking behavior. This agent applies rigorous statistical testing to identify when mean reversion probability is highest. Parameter: i_statarb (sensitivity 0.5-2.0) Best Markets: Range-bound instruments, low-volatility periods (VIX <15), algo-dominated markets (forex majors, index futures) Multi-Armed Bandit System: 15 Algorithms Explained What Is a Multi-Armed Bandit Problem? Origin: Named after slot machines ("one-armed bandits"). Imagine facing multiple slot machines, each with unknown payout rates. How do you maximize winnings? Formal Definition: K arms (agents), each with unknown reward distribution with mean μᵢ. Goal: Maximize cumulative reward over T trials. Challenge: Balance exploration (trying uncertain arms to learn quality) vs. exploitation (using known-best arm for immediate reward). Trading Application: Each agent is an "arm." After each trade, receive reward (P&L). Must decide which agent to trust for next signal. Algorithm Categories Bayesian Approaches (probabilistic, optimal for stationary environments): Thompson Sampling Bootstrapped Thompson Sampling Discounted Thompson Sampling Frequentist Approaches (confidence intervals, deterministic): UCB1 UCB1-Tuned KL-UCB SW-UCB (Sliding Window) D-UCB (Discounted) Adversarial Approaches (robust to non-stationary environments): EXP3-IX Hedge FPL-Gumbel Reinforcement Learning Approaches (leverage learned state-action values): Q-Values (from Q-Learning) Policy Network (from Policy Gradient) Simple Baseline: Epsilon-Greedy Softmax Key Algorithm Details Thompson Sampling (DEFAULT - RECOMMENDED) Theoretical Foundation: Bayesian decision theory with conjugate priors. Published by Thompson (1933), rediscovered for bandits by Chapelle & Li (2011). How It Works: Model each agent's reward distribution as Beta(α, β) where α = wins, β = losses Each step, sample from each agent's beta distribution: θᵢ ~ Beta(αᵢ, βᵢ) Select agent with highest sample: argmaxᵢ θᵢ Update winner's distribution after observing outcome Mathematical Properties: Optimality: Achieves logarithmic regret O(K log T) (proven optimal) Bayesian: Maintains probability distribution over true arm means Automatic Balance: High uncertainty → more exploration; high certainty → exploitation ⚠️ CRITICAL APPROXIMATION: This is a pseudo-random approximation of true Thompson Sampling. True implementation requires random number generation from beta distributions, which Pine Script doesn't provide. This version uses Box-Muller transform with market data (price/volume decimal digits) as entropy source. While not mathematically pure, it maintains core exploration-exploitation balance and learns agent preferences effectively. When To Use: Best all-around choice. Handles non-stationary markets reasonably well, balances exploration naturally, highly sample-efficient. UCB1 (Upper Confidence Bound) Formula: UCB_i = reward_mean_i + sqrt(2 × ln(total_pulls) / pulls_i) Interpretation: First term (exploitation) + second term (exploration bonus for less-tested arms) Mathematical Properties: Deterministic : Always selects same arm given same state Regret Bound: O(K log T) — same optimality as Thompson Sampling Interpretable: Can visualize confidence intervals When To Use: Prefer deterministic behavior, want to visualize uncertainty, stable markets EXP3-IX (Exponential Weights - Adversarial) Theoretical Foundation: Adversarial bandit algorithm. Assumes environment may be actively hostile (worst-case analysis). How It Works: Maintain exponential weights: w_i = exp(η × cumulative_reward_i) Select agent with probability proportional to weights: p_i = (1-γ)w_i/Σw_j + γ/K After outcome, update with importance weighting: estimated_reward = observed_reward / p_i Mathematical Properties: Adversarial Regret: O(sqrt(TK log K)) even if environment is adversarial No Assumptions: Doesn't assume stationary or stochastic reward distributions Robust: Works even when optimal arm changes continuously When To Use: Extreme non-stationarity, don't trust reward distribution assumptions, want robustness over efficiency KL-UCB (Kullback-Leibler Upper Confidence Bound) Theoretical Foundation: Uses KL-divergence instead of Hoeffding bounds. Tighter confidence intervals. Formula (conceptual): Find largest q such that: n × KL(p||q) ≤ ln(t) + 3×ln(ln(t)) Mathematical Properties: Tighter Bounds: KL-divergence adapts to reward distribution shape Asymptotically Optimal: Better constant factors than UCB1 Computationally Intensive: Requires iterative binary search (15 iterations) When To Use: Maximum sample efficiency needed, willing to pay computational cost, long-term trading (>500 bars) Q-Values & Policy Network (RL-Based Selection) Unique Feature: Instead of treating agents as black boxes with scalar rewards, these algorithms leverage the full RL state representation . Q-Values Selection: Uses learned Q-values: Q(state, agent_i) from Q-Learning Selects agent via softmax over Q-values for current market state Advantage: Selects based on state-conditional quality (which agent works best in THIS market state) Policy Network Selection: Uses neural network policy: π(agent | state, θ) from Policy Gradient Direct policy over agents given market features Advantage: Can learn non-linear relationships between market features and agent quality When To Use: After 200+ RL updates (Q-Values) or 500+ updates (Policy Network) when models converged Machine Learning & Reinforcement Learning Stack Why Both Bandits AND Reinforcement Learning? Critical Distinction: Bandits treat agents as contextless black boxes: "Agent 2 has 60% win rate" Reinforcement Learning adds state context: "Agent 2 has 60% win rate WHEN trend_score > 2 and RSI < 40" Power of Combination: Bandits provide fast initial learning with minimal assumptions. RL provides state-dependent policies for superior long-term performance. Component 1: Q-Learning (Value-Based RL) Algorithm: Temporal Difference Learning with Bellman equation. State Space: 54 discrete states formed from: trend_state = {0: bearish, 1: neutral, 2: bullish} (3 values) volatility_state = {0: low, 1: normal, 2: high} (3 values) RSI_state = {0: oversold, 1: neutral, 2: overbought} (3 values) volume_state = {0: low, 1: high} (2 values) Total states: 3 × 3 × 3 × 2 = 54 states Action Space: 5 actions (No trade, Agent 1, Agent 2, Agent 3, Agent 4) Total state-action pairs: 54 × 5 = 270 Q-values Bellman Equation: Q(s,a) ← Q(s,a) + α × Parameters: α (learning rate): 0.01-0.50, default 0.10 - Controls step size for updates γ (discount factor): 0.80-0.99, default 0.95 - Values future rewards ε (exploration): 0.01-0.30, default 0.10 - Probability of random action Update Mechanism: Position opens with state s, action a (selected agent) Every bar position is open: Calculate floating P&L → scale to reward Perform online TD update When position closes: Perform terminal update with final reward Gradient Clipping: TD errors clipped to ; Q-values clipped to for stability. Why It Works: Q-Learning learns "quality" of each agent in each market state through trial and error. Over time, builds complete state-action value function enabling optimal state-dependent agent selection. Component 2: TD(λ) Learning (Temporal Difference with Eligibility Traces) Enhancement Over Basic Q-Learning: Credit assignment across multiple time steps. The Problem TD(λ) Solves: Position opens at t=0 Market moves favorably at t=3 Position closes at t=8 Question: Which earlier decisions contributed to success? Basic Q-Learning: Only updates Q(s₈, a₈) ← reward TD(λ): Updates ALL visited state-action pairs with decayed credit Eligibility Trace Formula: e(s,a) ← γ × λ × e(s,a) for all s,a (decay all traces) e(s_current, a_current) ← 1 (reset current trace) Q(s,a) ← Q(s,a) + α × TD_error × e(s,a) (update all with trace weight) Lambda Parameter (λ): 0.5-0.99, default 0.90 λ=0: Pure 1-step TD (only immediate next state) λ=1: Full Monte Carlo (entire episode) λ=0.9: Balance (recommended) Why Superior: Dramatically faster learning for multi-step tasks. Q-Learning requires many episodes to propagate rewards backwards; TD(λ) does it in one. Component 3: Policy Gradient (REINFORCE with Baseline) Paradigm Shift: Instead of learning value function Q(s,a), directly learn policy π(a|s). Policy Network Architecture: Input: 12 market features Hidden: None (linear policy) Output: 5 actions (softmax distribution) Total parameters: 12 features × 5 actions + 5 biases = 65 parameters Feature Set (12 Features): Price Z-score (close - SMA20) / ATR Volume ratio (volume / vol_avg - 1) RSI deviation (RSI - 50) / 50 Bollinger width ratio Trend score / 4 (normalized) VWAP deviation 5-bar price ROC 5-bar volume ROC Range/ATR ratio - 1 Price-volume correlation (20-period) Volatility ratio (ATR / ATR_avg - 1) EMA50 deviation REINFORCE Update Rule: θ ← θ + α × ∇log π(a|s) × advantage where advantage = reward - baseline (variance reduction) Why Baseline? Raw rewards have high variance. Subtracting baseline (running average) centers rewards around zero, reducing gradient variance by 50-70%. Learning Rate: 0.001-0.100, default 0.010 (much lower than Q-Learning because policy gradients have high variance) Why Policy Gradient? Handles 12 continuous features directly (Q-Learning requires discretization) Naturally maintains exploration through probability distribution Can converge to stochastic optimal policy Component 4: Ensemble Meta-Learner (Stacking) Architecture: Level-1 meta-learner combines Level-0 base learners (Q-Learning, TD(λ), Policy Gradient). Three Meta-Learning Algorithms: 1. Simple Average (Baseline) Final_prediction = (Q_prediction + TD_prediction + Policy_prediction) / 3 2. Weighted Vote (Reward-Based) weight_i ← 0.95 × weight_i + 0.05 × (reward_i + 1) 3. Adaptive Weighting (Gradient-Based) — RECOMMENDED Loss Function: L = (y_true - ŷ_ensemble)² Gradient: ∂L/∂weight_i = -2 × (y_true - ŷ_ensemble) × agent_contribution_i Updates weights via gradient descent with clipping and normalization Why It Works: Unlike simple averaging, meta-learner discovers which base learner is most reliable in current regime. If Policy Gradient excels in trending markets while Q-Learning excels in ranging, meta-learner learns these patterns and weights accordingly. Feature Importance Tracking Purpose: Identify which of 12 features contribute most to successful predictions. Update Rule: importance_i ← 0.95 × importance_i + 0.05 × |feature_i × reward| Use Cases: Feature selection: Drop low-importance features Market regime detection: Importance shifts reveal regime changes Agent tuning: If VWAP deviation has high importance, consider boosting agents using VWAP RL Position Tracking System Critical Innovation: Proper reinforcement learning requires tracking which decisions led to outcomes. State Tracking (When Signal Validates): active_rl_state ← current_market_state (0-53) active_rl_action ← selected_agent (1-4) active_rl_entry ← entry_price active_rl_direction ← 1 (long) or -1 (short) active_rl_bar ← current_bar_index Online Updates (Every Bar Position Open): floating_pnl = (close - entry) / entry × direction reward = floating_pnl × 10 (scale to meaningful range) reward = clip(reward, -5.0, 5.0) Update Q-Learning, TD(λ), and Policy Gradient Terminal Update (Position Close): Final Q-Learning update (no next Q-value, terminal state) Update meta-learner with final result Update agent memory Clear position tracking Exit Conditions: Time-based: ≥3 bars held (minimum hold period) Stop-loss: 1.5% adverse move Take-profit: 2.0% favorable move Market Microstructure Filters Why Microstructure Matters Traditional technical analysis assumes fair, efficient markets. Reality: Markets have friction, manipulation, and information asymmetry. Microstructure filters detect when market structure indicates adverse conditions. Filter 1: VPIN (Volume-Synchronized Probability of Informed Trading) Theoretical Foundation: Easley, López de Prado, & O'Hara (2012). "Flow Toxicity and Liquidity in a High-Frequency World." What It Measures: Probability that current order flow is "toxic" (informed traders with private information). Calculation: Classify volume as buy or sell (close > close = buy volume) Calculate imbalance over 20 bars: VPIN = |Σ buy_volume - Σ sell_volume| / Σ total_volume Compare to moving average: toxic = VPIN > VPIN_MA(20) × sensitivity Interpretation: VPIN < 0.3: Normal flow (uninformed retail) VPIN 0.3-0.4: Elevated (smart money active) VPIN > 0.4: Toxic flow (informed institutions dominant) Filter Logic: Block LONG when: VPIN toxic AND price rising (don't buy into institutional distribution) Block SHORT when: VPIN toxic AND price falling (don't sell into institutional accumulation) Adaptive Threshold: If VPIN toxic frequently, relax threshold; if rarely toxic, tighten threshold. Bounded . Filter 2: Toxicity (Kyle's Lambda Approximation) Theoretical Foundation: Kyle (1985). "Continuous Auctions and Insider Trading." What It Measures: Price impact per unit volume — market depth and informed trading. Calculation: price_impact = (close - close ) / sqrt(Σ volume over 10 bars) impact_zscore = (price_impact - impact_mean) / impact_std toxicity = abs(impact_zscore) Interpretation: Low toxicity (<1.0): Deep liquid market, large orders absorbed easily High toxicity (>2.0): Thin market or informed trading Filter Logic: Block ALL SIGNALS when toxicity > threshold. Most dangerous when price breaks from VWAP with high toxicity. Filter 3: Regime Filter (Counter-Trend Protection) Purpose: Prevent counter-trend trades during strong trends. Trend Scoring: trend_score = 0 trend_score += close > EMA8 ? +1 : -1 trend_score += EMA8 > EMA21 ? +1 : -1 trend_score += EMA21 > EMA50 ? +1 : -1 trend_score += close > EMA200 ? +1 : -1 Range: Regime Classification: Strong Bull: trend_score ≥ +3 → Block all SHORT signals Strong Bear: trend_score ≤ -3 → Block all LONG signals Neutral: -2 ≤ trend_score ≤ +2 → Allow both directions Filter 4: Liquidity Boost (Signal Enhancer) Unique: Unlike other filters (which block), this amplifies signals during low liquidity. Logic: if volume < vol_avg × 0.7: agent_scores × 1.2 Why It Works: Low liquidity often precedes explosive moves (breakouts). By increasing agent sensitivity during compression, system catches pre-breakout signals earlier. Technical Implementation & Approximations ⚠️ Critical Approximations Required by Pine Script 1. Thompson Sampling: Pseudo-Random Beta Distribution Academic Standard: True random sampling from beta distributions using cryptographic RNG This Implementation: Box-Muller transform for normal distribution using market data (price/volume decimal digits) as entropy source, then scale to beta distribution mean/variance Impact: Not cryptographically random, may have subtle biases in specific price ranges, but maintains correct mean and approximate variance. Sufficient for bandit agent selection. 2. VPIN: Simplified Volume Classification Academic Standard: Lee-Ready algorithm or exchange-provided aggressor flags with tick-by-tick data This Implementation: Bar-based classification: if close > close : buy_volume += volume Impact: 10-15% precision loss. Works well in directional markets, misclassifies in choppy conditions. Still captures order flow imbalance signal. 3. Policy Gradient: Simplified Per-Action Updates Academic Standard: Full softmax gradient updating all actions (selected action UP, others DOWN proportionally) This Implementation: Only updates selected action's weights Impact: Valid approximation for small action spaces (5 actions). Slower convergence than full softmax but still learns optimal policy. 4. Kyle's Lambda: Simplified Price Impact Academic Standard: Regression over multiple time scales with signed order flow This Implementation: price_impact = Δprice_10 / sqrt(Σvolume_10); z_score calculation Impact: 15-20% precision loss. No proper signed order flow. Still detects informed trading signals at extremes (>2σ). 5. Other Simplifications: Hawkes Process: Fixed exponential decay (0.9) not MLE-optimized Entropy: Ratio approximation not true Shannon entropy H(X) = -Σ p(x)·log₂(p(x)) Feature Engineering: 12 features vs. potential 100+ with polynomial interactions RL Hybrid Updates: Both online and terminal (non-standard but empirically effective) Overall Precision Loss Estimate: 10-15% compared to academic implementations with institutional data feeds. Practical Trade-off: For retail trading with OHLCV data, these approximations provide 90%+ of the edge while maintaining full transparency, zero latency, no external dependencies, and runs on any TradingView plan. How to Use: Practical Guide Initial Setup (5 Minutes) Select Trading Mode: Start with "Balanced" for most users Enable ML/RL System: Toggle to TRUE, select "Full Stack" ML Mode Bandit Configuration: Algorithm: "Thompson Sampling", Mode: "Switch" or "Blend" Microstructure Filters: Enable all four filters, enable "Adaptive Microstructure Thresholds" Visual Settings: Enable dashboard (Top Right), enable all chart visuals Learning Phase (First 50-100 Signals) What To Monitor: Agent Performance Table: Watch win rates develop (target >55%) Bandit Weights: Should diverge from uniform (0.25 each) after 20-30 signals RL Core Metrics: "RL Updates" should increase when position open Filter Status: "Blocked" count indicates filter activity Optimization Tips: Too few signals: Lower min_confidence to 0.25, increase agent sensitivities to 1.1-1.2 Too many signals: Raise min_confidence to 0.35-0.40, decrease agent sensitivities to 0.8-0.9 One agent dominates (>70%): Consider "Lock Agent" feature Signal Interpretation Dashboard Signal Status: ⚪ WAITING FOR SIGNAL: No agent signaling ⏳ ANALYZING...: Agent signaling but not confirmed 🟡 CONFIRMING 2/3: Building confirmation (2 of 3 bars) 🟢 LONG ACTIVE : Validated long entry 🔴 SHORT ACTIVE : Validated short entry Kill Zone Boxes: Entry price (triangle marker), Take Profit (Entry + 2.5× ATR), Stop Loss (Entry - 1.5× ATR). Risk:Reward = 1:1.67 Risk Management Position Sizing: Risk per trade = 1-2% of capital Position size = (Capital × Risk%) / (Entry - StopLoss) Stop-Loss Placement: Initial: Entry ± 1.5× ATR (shown in kill zone) Trailing: After 1:1 R:R achieved, move stop to breakeven Take-Profit Strategy: TP1 (2.5× ATR): Take 50% off TP2 (Runner): Trail stop at 1× ATR or use opposite signal as exit Memory Persistence Why Save Memory: Every chart reload resets the system. Saving learned parameters preserves weeks of learning. When To Save: After 200+ signals when agent weights stabilize What To Save: From Memory Export panel, copy all alpha/beta/weight values and adaptive thresholds How To Restore: Enable "Restore From Saved State", input all values into corresponding fields What Makes This Original Innovation 1: Genuine Multi-Armed Bandit Framework This implements 15 mathematically rigorous bandit algorithms from academic literature (Thompson Sampling from Chapelle & Li 2011, UCB family from Auer et al. 2002, EXP3 from Auer et al. 2002, KL-UCB from Garivier & Cappé 2011). Each algorithm maintains proper state, updates according to proven theory, and converges to optimal behavior. This is real learning, not superficial parameter changes. Innovation 2: Full Reinforcement Learning Stack Beyond bandits learning which agent works best globally, RL learns which agent works best in each market state. After 500+ positions, system builds 54-state × 5-action value function (270 learned parameters) capturing context-dependent agent quality. Innovation 3: Market Microstructure Integration Combines retail technical analysis with institutional-grade microstructure metrics: VPIN from Easley, López de Prado, O'Hara (2012), Kyle's Lambda from Kyle (1985), Hawkes Processes from Hawkes (1971). These detect informed trading, manipulation, and liquidity dynamics invisible to technical analysis. Innovation 4: Adaptive Threshold System Dynamic quantile-based thresholds: Maintains histogram of each agent's score distribution (24 bins, exponentially decayed), calculates 80th percentile threshold from histogram. Agent triggers only when score exceeds its own learned quantile. Proper non-parametric density estimation automatically adapts to instrument volatility, agent behavior shifts, and market regime changes. Innovation 5: Episodic Memory with Transfer Learning Dual-layer architecture: Short-term memory (last 20 trades, fast adaptation) + Long-term memory (condensed episodes, historical patterns). Transfer mechanism consolidates knowledge when STM reaches threshold. Mimics hippocampus → neocortex consolidation in human memory. Limitations & Disclaimers General Limitations No Predictive Guarantee: Pattern recognition ≠ prediction. Past performance ≠ future results. Learning Period Required: Minimum 50-100 bars for reliable statistics. Initial performance may be suboptimal. Overfitting Risk: System learns patterns in historical data. May not generalize to unprecedented conditions. Approximation Limitations: See technical implementation section (10-15% precision loss vs. academic standards) Single-Instrument Limitation: No multi-asset correlation, sector context, or VIX integration. Forward-Looking Bias Disclaimer CRITICAL TRANSPARENCY: The RL system uses an 8-bar forward-looking window for reward calculation. What This Means: System learns from rewards incorporating future price information (bars 101-108 relative to entry at bar 100). Why Acceptable: ✅ Signals do NOT look ahead: Entry decisions use only data ≤ entry bar ✅ Learning only: Forward data used for optimization, not signal generation ✅ Real-time mirrors backtest: In live trading, system learns identically ⚠️ Implication: Dashboard "Agent Win%" reflects this 8-bar evaluation. Real-time performance may differ slightly if positions held longer, slippage/fees not captured, or market microstructure changes. Risk Warnings No Guarantee of Profit: All trading involves risk of loss System Failures: Bugs possible despite extensive testing Market Conditions: Optimized for liquid markets (>100k daily volume). Performance degrades in illiquid instruments, major news events, flash crashes Broker-Specific Issues: Execution slippage, commission/fees, overnight financing costs Appropriate Use This Indicator Is: ✅ Entry trigger system ✅ Risk management framework (stop/target) ✅ Adaptive agent selection engine ✅ Learning system that improves over time This Indicator Is NOT: ❌ Complete trading strategy (requires position sizing, portfolio management) ❌ Replacement for fundamental analysis ❌ Guaranteed profit generator ❌ Suitable for complete beginners without training Recommended Complementary Analysis: Market context (support/resistance), volume profile, fundamental catalysts, correlation with related instruments, broader market regime Recommended Settings by Instrument Stocks (Large Cap, >$1B): Mode: Balanced | ML/RL: Enabled, Full Stack | Bandit: Thompson Sampling, Switch Agent Sensitivity: Spoofing 1.0-1.2, Exhaustion 0.9-1.1, Liquidity 0.8-1.0, StatArb 1.1-1.3 Microstructure: All enabled, VPIN 1.2, Toxicity 1.5 | Timeframe: 15min-1H Forex Majors (EURUSD, GBPUSD): Mode: Balanced to Conservative | ML/RL: Enabled, Full Stack | Bandit: Thompson Sampling, Blend Agent Sensitivity: Spoofing 0.8-1.0, Exhaustion 0.9-1.1, Liquidity 0.7-0.9, StatArb 1.2-1.5 Microstructure: All enabled, VPIN 1.0-1.1, Toxicity 1.3-1.5 | Timeframe: 5min-30min Crypto (BTC, ETH): Mode: Aggressive to Balanced | ML/RL: Enabled, Full Stack | Bandit: Thompson Sampling OR EXP3-IX Agent Sensitivity: Spoofing 1.2-1.5, Exhaustion 1.1-1.3, Liquidity 1.2-1.5, StatArb 0.7-0.9 Microstructure: All enabled, VPIN 1.4-1.6, Toxicity 1.8-2.2 | Timeframe: 15min-4H Futures (ES, NQ, CL): Mode: Balanced | ML/RL: Enabled, Full Stack | Bandit: UCB1 or Thompson Sampling Agent Sensitivity: All 1.0-1.2 (balanced) Microstructure: All enabled, VPIN 1.1-1.3, Toxicity 1.4-1.6 | Timeframe: 5min-30min Conclusion Algorithm Predator - Pro synthesizes academic research from market microstructure theory, reinforcement learning, and multi-armed bandit algorithms. Unlike typical indicator mashups, this system implements 15 mathematically rigorous bandit algorithms, deploys a complete RL stack (Q-Learning, TD(λ), Policy Gradient), integrates institutional microstructure metrics (VPIN, Kyle's Lambda), adapts continuously through dual-layer memory and meta-learning, and provides full transparency on approximations and limitations. The system is designed for serious algorithmic traders who understand that no indicator is perfect, but through proper machine learning, we can build systems that improve over time and adapt to changing markets without manual intervention. Use responsibly. Risk disclosure applies. Past performance ≠ future results. Taking you to school. — Dskyz, Trade with insight. Trade with anticipation.
Penunjuk Pine Script®
oleh DskyzInvestments
2
SRD SRD v11 - Multi-Timeframe Volume Profile (POC, VAH, VAL) Key Features Dual Timeframe Analysis: 📈 Main Analysis (Daily): Calculates and displays the most significant levels based on a user-defined period of daily bars. This is ideal for identifying intraday and short-term trading opportunities. 📊 Strategic Analysis (Weekly): Plots key levels from a weekly perspective, giving you a broader, long-term view of market sentiment and structure. This can be toggled on or off. Volume Profile Core Levels: The indicator automatically calculates and visualizes the three most important levels derived from volume analysis for both timeframes: 🎯 POC (Point of Control): The price level with the highest traded volume for the specified period. It acts as a powerful magnet for price and a key reference for market equilibrium. 🔴 VAH (Value Area High): The highest price level within the "Value Area" (where ~70% of the volume was traded). It often acts as a significant resistance zone. 🟢 VAL (Value Area Low): The lowest price level within the Value Area. It often serves as a strong support zone. 🟠 24-Hour High: An optional feature that plots the highest price reached in the last 24 hours, providing a crucial reference point for breakout and reversal traders. Dynamic and Non-Repainting: The levels are calculated based on historical confirmed bars and update automatically as new periods (daily or weekly) close. The lines extend to the right, remaining relevant until a new calculation period begins. Integrated Alert System: Never miss a key price interaction. The indicator includes a comprehensive alert system for: Breakouts: Triggers when the price crosses above or below the POC, VAH, or VAL. Touches: Triggers when the price touches one of these key levels without breaking through it (within a small tolerance). Unified Alert: A single alert that notifies you of any of the above conditions. Customization The SRD v11 is fully customizable to fit your trading style. You can adjust: Timeframes: Change the base timeframes for both the main (default Daily) and strategic (default Weekly) analysis. Analysis Periods: Define the number of bars (days or weeks) to include in the Volume Profile calculation. Visuals: Customize the color, width, and style (solid, dashed, dotted) of every line and label for clear and intuitive visualization. Toggle Elements: Easily show or hide the strategic (weekly) analysis and the 24-hour high line. How to Use It > Identify Key Zones: Use the VAH (resistance) and VAL (support) lines to identify potential entry and exit zones. The area between VAH and VAL is the "Value Area," where the market has found acceptance. Monitor the POC: The Point of Control is the ultimate level of equilibrium. Watch for price reactions around the POC. A sustained break above or below can signal a new trend. Combine Timeframes: Use the strategic (weekly) levels as major, long-term points of interest and the main (daily) levels for your day-to-day trading setup. Confluence between levels from different timeframes can indicate extremely strong support or resistance. Set Alerts: Configure alerts for breakouts or touches to be notified of critical market movements in real-time, even when you are away from the charts.
Penunjuk Pine Script®
oleh brunomachado788
PheeTrades - Value Area Levels (VAH / VAL / POC Visualizer)This script helps traders quickly visualize key Volume Profile–style levels such as Value Area High (VAH), Value Area Low (VAL), and Point of Control (POC) using recent price and volume data. While TradingView’s built-in Volume Profile tool is great for manual analysis, this indicator automatically calculates and plots approximate value zones directly on your chart — ideal for traders who want to identify high-probability support and resistance areas without drawing a fixed range every time. Features: Calculates short-term VAH, VAL, and POC based on a user-defined lookback period. Plots color-coded levels for quick visual reference. Helps identify “fair value” zones where most trading activity occurred. Useful for detecting breakout or mean-reversion opportunities around value extremes. How to use: Apply the script to any chart and set your preferred lookback period. VAH (red line): potential upper resistance or overbought zone. VAL (green line): potential lower support or accumulation zone. POC (orange line): price level with the highest traded activity — often a magnet for price. Note: This is a simplified Value Area model meant for educational and analytical use. It does not replace TradingView’s official Volume Profile or broker-level volume distribution data.
Penunjuk Pine Script®
oleh VegasAgent
Advanced Range Analyzer ProAdvanced Range Analyzer Pro – Adaptive Range Detection & Breakout Forecasting Overview Advanced Range Analyzer Pro is a comprehensive trading tool designed to help traders identify consolidations, evaluate their strength, and forecast potential breakout direction. By combining volatility-adjusted thresholds, volume distribution analysis, and historical breakout behavior, the indicator builds an adaptive framework for navigating sideways price action. Instead of treating ranges as noise, this system transforms them into opportunities for mean reversion or breakout trading. How It Works The indicator continuously scans price action to identify active range environments. Ranges are defined by volatility compression, repeated boundary interactions, and clustering of volume near equilibrium. Once detected, the indicator assigns a strength score (0–100), which quantifies how well-defined and compressed the consolidation is. Breakout probabilities are then calculated by factoring in: Relative time spent near the upper vs. lower range boundaries Historical breakout tendencies for similar structures Volume distribution inside the range Momentum alignment using auxiliary filters (RSI/MACD) This creates a live probability forecast that updates as price evolves. The tool also supports range memory, allowing traders to analyze the last completed range after a breakout has occurred. A dynamic strength meter is displayed directly above each consolidation range, providing real-time insight into range compression and breakout potential. Signals and Breakouts Advanced Range Analyzer Pro includes a structured set of visual tools to highlight actionable conditions: Range Zones – Gradient-filled boxes highlight active consolidations. Strength Meter – A live score displayed in the dashboard quantifies compression. Breakout Labels – Probability percentages show bias toward bullish or bearish continuation. Breakout Highlights – When a breakout occurs, the range is marked with directional confirmation. Dashboard Table – Displays current status, strength, live/last range mode, and probabilities. These elements update in real time, ensuring that traders always see the current state of consolidation and breakout risk. Interpretation Range Strength : High scores (70–100) indicate strong consolidations likely to resolve explosively, while low scores suggest weak or choppy ranges prone to false signals. Breakout Probability : Directional bias greater than 60% suggests meaningful breakout pressure. Equal probabilities indicate balanced compression, favoring mean-reversion strategies. Market Context : Ranges aligned with higher timeframe trends often resolve in the dominant direction, while counter-trend ranges may lead to reversals or liquidity sweeps. Volatility Insight : Tight ranges with low ATR imply imminent expansion; wide ranges signal extended consolidation or distribution phases. Strategy Integration Advanced Range Analyzer Pro can be applied across multiple trading styles: Breakout Trading : Enter on probability shifts above 60% with confirmation of volume or momentum. Mean Reversion : Trade inside ranges with high strength scores by fading boundaries and targeting equilibrium. Trend Continuation : Focus on ranges that form mid-trend, anticipating continuation after consolidation. Liquidity Sweeps : Use failed breakouts at boundaries to capture reversals. Multi-Timeframe : Apply on higher timeframes to frame market context, then execute on lower timeframes. Advanced Techniques Combine with volume profiles to identify areas of institutional positioning within ranges. Track sequences of strong consolidations for trend development or exhaustion signals. Use breakout probability shifts in conjunction with order flow or momentum indicators to refine entries. Monitor expanding/contracting range widths to anticipate volatility cycles. Custom parameters allow fine-tuning sensitivity for different assets (crypto, forex, equities) and trading styles (scalping, intraday, swing). Inputs and Customization Range Detection Sensitivity : Controls how strictly ranges are defined. Strength Score Settings : Adjust weighting of compression, volume, and breakout memory. Probability Forecasting : Enable/disable directional bias and thresholds. Gradient & Fill Options : Customize range visualization colors and opacity. Dashboard Display : Toggle live vs last range, info table size, and position. Breakout Highlighting : Choose border/zone emphasis on breakout events. Why Use Advanced Range Analyzer Pro This indicator provides a data-driven approach to trading consolidation phases, one of the most common yet underutilized market states. By quantifying range strength, mapping probability forecasts, and visually presenting risk zones, it transforms uncertainty into clarity. Whether you’re trading breakouts, fading ranges, or mapping higher timeframe context, Advanced Range Analyzer Pro delivers a structured, adaptive framework that integrates seamlessly into multiple strategies.
Penunjuk Pine Script®
oleh BOSWaves
7
Tick Ratio Simulator - Advanced Market Sentiment IndicatorOverview The Tick Ratio Simulator is a sophisticated market sentiment indicator that provides real-time insights into buying and selling pressure dynamics. This proprietary indicator transforms complex market microstructure data into actionable trading signals. Key Features Real-Time Sentiment Analysis: Captures instantaneous shifts in market momentum Multi-Timeframe Adaptability: Customizable calculation periods for any trading style Visual Clarity: Color-coded histogram with dynamic zone highlighting Integrated Alert System: Pre-configured alerts for key market transitions Performance Dashboard: Live metrics display for informed decision-making Trading Applications ✓ Trend Confirmation: Validate existing trends with momentum analysis ✓ Reversal Detection: Identify potential turning points at extreme readings ✓ Entry/Exit Timing: Optimize trade execution with overbought/oversold zones ✓ Risk Management: Clear visual boundaries for position sizing decisions Signal Interpretation Extreme Zones (±75): High probability reversal areas Standard Thresholds (±50): Traditional overbought/oversold levels Zero Line Crossings: Momentum shift confirmations Histogram Expansion/Contraction: Strength of directional bias Customization Options Adjustable calculation and smoothing periods Fully customizable color schemes Toggle histogram and reference lines Real-time information table positioning Alert Conditions Four pre-built alert templates for automated notifications: Momentum threshold breaches Directional changes Extreme zone entries Custom level crossovers Best Practices Works exceptionally well when combined with: Volume analysis Support/resistance levels Price action patterns Other momentum oscillators Note: This indicator uses proprietary calculations to simulate institutional-grade tick analysis without requiring actual tick data feeds. Results are optimized for liquid markets with consistent volume profiles. For optimal results, adjust parameters based on your specific instrument and timeframe. Past performance does not guarantee future results.
Penunjuk Pine Script®
oleh drala1008
Fair Value Gap Suite Adrian V1.0.0Brief description The “FVG Suite” identifies fair value gaps across multiple time units, evaluates them with a displacement score, optionally filters them according to market structure events (BOS/CHOCH), and provides context-based alerts for first touch, partial and full fills, and invalidation. The aim is to show only high-quality imbalances and trade them based on rules. What makes the script unique (originality/added value) Displacement score: Strength of the impulse movement as a combination of (body/ATR, range/ATR, volume Z-score). MTF aggregator: FVGs from higher timeframes are collected, ranked, and displayed as zones on the active chart (including overlap clustering). Structure context: Optionally, only FVGs after confirmed BOS/CHOCH in the trend direction, including premium/discount evaluation relative to the HTF range. Adaptive invalidation: FVG expires after candles, opposing BOS or defined time (e.g., end of session). Session/instrument filter: Time window (e.g., NY/LDN), minimum tick size, ATR-based minimum gap. Smart fill logic: Distinguishes between first touch, partial fill (≥ %), full fill (100%); alarms per event. Statistics overlay (optional): Hit rate/expectancy per TF & session for fine-tuning the filters. How it works (conceptually) FVG definition (3-candle pattern): Bullish if High < Low (bearish analog). Size = gap span in points. Quality score:Score = w1*(|Body|/ATR) + w2*(Range/ATR) + w3*(Volume-Z), normalized to 0–100. MTF scan: List of higher TFs: (customizable). Findings are merged, ranked, and displayed as zones with priority (color/opacity). Context filter: Only FVGs that emerge after BOS/CHOCH in the direction of the current trend; optional exclusion in premium/discount areas. Invalidation & alerts: A zone is considered active until the invalidation rule takes effect. Alerts are triggered upon: initial contact, partial/full filling, invalidation. Important inputs Min. FVG size: × ATRor ticks/points Min. displacement score: (0–100) MTF list: BOS/CHOCH filter: On/Off (Lookback candles) Session filter: NY/LDN/Asia (local time, weekend toggle) Invalidation: maxBars = , Opposite BOS = On/Off, Session End = On/Off Fill definitions: Partial fill ≥ % of the gap; Full fill = 100% Overlay options: Zone color/transparency, HTF label, statistics overlay On/Off Alerts (names & triggers) FVG Suite – First Touch: Price touches an active FVG zone for the first time. FVG Suite – Partial Fill: Partial fill ≥ configured threshold. FVG Suite – Full Fill: Gap completely filled. FVG Suite – Invalidated: Zone invalidated by rules. (Alert message contains: symbol, TF of the zone, direction, score, size, trigger rule.) Use (best practices) Trade in the trend direction with BOS/CHOCH filter; target counter-imbalances/liquidity pools. Use session filters to avoid news spikes/illiquid periods. Calibrate parameters for each market/TF (ATR/volume profiles differ). Limitations Structure labels can be reevaluated for new highs/lows (repainting of labels, not of FVG finds). Spreads/news can generate “pseudo fills.” Backtests/statistics are sample-dependent; no guarantee of results. Changelog v1.0 – First release (score model, MTF aggregator, BOS/CHOCH filter, fill alerts). Credits FVG concept: public ICT/SMC literature (general idea). Implementation/scoring, MTF ranking, smart fill logic: own development. Note/disclaimer No financial advice. For educational purposes only. Trading involves high risk; use stop losses and a fixed risk budget.
Penunjuk Pine Script®
oleh adrianospelt2002
Fair Value Gap Suite Adrian V1.0.0Brief description The “FVG Suite” identifies fair value gaps across multiple time units, evaluates them with a displacement score, optionally filters them according to market structure events (BOS/CHOCH), and provides context-based alerts for first touch, partial and full fills, and invalidation. The aim is to show only high-quality imbalances and trade them based on rules. What makes the script unique (originality/added value) Displacement score: Strength of the impulse movement as a combination of (body/ATR, range/ATR, volume Z-score). MTF aggregator: FVGs from higher timeframes are collected, ranked, and displayed as zones on the active chart (including overlap clustering). Structure context: Optionally, only FVGs after confirmed BOS/CHOCH in the trend direction, including premium/discount evaluation relative to the HTF range. Adaptive invalidation: FVG expires after candles, opposing BOS or defined time (e.g., end of session). Session/instrument filter: Time window (e.g., NY/LDN), minimum tick size, ATR-based minimum gap. Smart fill logic: Distinguishes between first touch, partial fill (≥ %), full fill (100%); alarms per event. Statistics overlay (optional): Hit rate/expectancy per TF & session for fine-tuning the filters. How it works (conceptually) FVG definition (3-candle pattern): Bullish if High < Low (bearish analog). Size = gap span in points. Quality score:Score = w1*(|Body|/ATR) + w2*(Range/ATR) + w3*(Volume-Z), normalized to 0–100. MTF scan: List of higher TFs: (customizable). Findings are merged, ranked, and displayed as zones with priority (color/opacity). Context filter: Only FVGs that emerge after BOS/CHOCH in the direction of the current trend; optional exclusion in premium/discount areas. Invalidation & alerts: A zone is considered active until the invalidation rule takes effect. Alerts are triggered upon: initial contact, partial/full filling, invalidation. Important inputs Min. FVG size: × ATRor ticks/points Min. displacement score: (0–100) MTF list: BOS/CHOCH filter: On/Off (Lookback candles) Session filter: NY/LDN/Asia (local time, weekend toggle) Invalidation: maxBars = , Opposite BOS = On/Off, Session End = On/Off Fill definitions: Partial fill ≥ % of the gap; Full fill = 100% Overlay options: Zone color/transparency, HTF label, statistics overlay On/Off Alerts (names & triggers) FVG Suite – First Touch: Price touches an active FVG zone for the first time. FVG Suite – Partial Fill: Partial fill ≥ configured threshold. FVG Suite – Full Fill: Gap completely filled. FVG Suite – Invalidated: Zone invalidated by rules. (Alert message contains: symbol, TF of the zone, direction, score, size, trigger rule.) Use (best practices) Trade in the trend direction with BOS/CHOCH filter; target counter-imbalances/liquidity pools. Use session filters to avoid news spikes/illiquid periods. Calibrate parameters for each market/TF (ATR/volume profiles differ). Limitations Structure labels can be reevaluated for new highs/lows (repainting of labels, not of FVG finds). Spreads/news can generate “pseudo fills.” Backtests/statistics are sample-dependent; no guarantee of results. Changelog v1.0 – First release (score model, MTF aggregator, BOS/CHOCH filter, fill alerts). Credits FVG concept: public ICT/SMC literature (general idea). Implementation/scoring, MTF ranking, smart fill logic: own development. Note/disclaimer No financial advice. For educational purposes only. Trading involves high risk; use stop losses and a fixed risk budget.
Penunjuk Pine Script®
oleh adrianospelt2002
3
Ema With VoLume RangeEMA with Volume Range – Adaptive Trend, Trailing Stops & Volume Profile Zones This sophisticated indicator integrates three powerful trading tools in a single overlay: a classic EMA200, precision ATR-based buy/sell signals, and a unique double-zone volume profile for deep market structure analysis. Ideal for swing traders, scalpers, and volume-driven investors seeking actionable, multi-dimensional price insights. Core Features EMA200 (Exponential Moving Average): Plots a customizable EMA200 (blue line) for identifying primary trend direction and dynamic support/resistance. Exponential smoothing is enabled by default for better tracking of recent price action. ATR-Based Trailing Stop with Buy/Sell Signals: Uses Average True Range (ATR) to set adaptive trailing stop levels that respond to current market volatility. Buy and Sell signals (tiny green and red labels) trigger whenever price crosses the trailing stop for precise entries and exits. All signals are alert-enabled for automated or semi-automated trading workflows. Adjustable ATR multiplier and lookback for tuning responsiveness. Dual Volume Range Zones & Profile Histogram: Automatically highlights recent high/low price zones (upper and lower) using your lookback period and zone width settings. Each zone is split into horizontal "bins," color-coded for buy/sell dominance and highlighting the Point of Control (POC)—the price with the most traded volume. The indicator draws live volume histograms inside each zone, supplementing them with labels that show buy vs. sell volumes and POC statistics. Adjustable bin count, transparency, colors, and histogram granularity to fit your visual preference. Optional midlines and fair value drift line help visualize price equilibrium and value shifts over time. How to Use Trend Confirmation: Align trades with the EMA200—trade long above, short below, or wait for ATR-trailing stop triggers that coincide with the EMA bias. Signal Generation: Use the ATR trailing stop Buy/Sell signals to spot shifts in volatility-adjusted direction early. Volume Zone Analysis: Identify where the highest concentration of buy/sell activity occurred within the customizable upper/lower zones: Use high volume bins and POC as magnets for price, support/resistance, or to confirm breakout/failure zones. Leverage the fair value drift line and dynamic labels to detect changes in market sentiment and volume pressure.
Penunjuk Pine Script®
oleh SimplifiedTrading001
Institutional Analyst LLM📊 Institutional Analyst Board LLM – Smart Money Confluence Scanner for XAUUSD, Forex, Crypto 🔍 Overview The Institutional Analyst Board is a complete multi-timeframe smart money toolkit designed for traders who demand clarity, confluence, and precision. It brings together institutional-grade metrics—Order Blocks (OB), Fair Value Gaps (FVG), Liquidity Sweeps, MACD/RSI... PTS Ultimate Analysis Board (Flexible Position + Ticker) GoldenTradeClub GoldenTradeClub Updated Jul 15 PTS Ultimate Analysis Board (Flexible Position + Ticker) Version: Pine v5 Description: This indicator builds a fully customizable, multi-timeframe dashboard table that surfaces 19 key metrics for any ticker (current chart TF, 1 h, 4 h). You can position the table at the top-right or bottom-right of your chart and toggle each metric on or off. Key... Trading Engine AI Light GoldenTradeClub GoldenTradeClub Jul 14 The Trading Engine includes the best and most effective technical analysis tools. It has 27 different Buy Signal parameters and 26 different Sell Signal parameters. Furthermore, it also has 9 Stop Loss triggers for Long Positions and 8 Stop Loss triggers for Short Positions. Many of the Buy or Sell Signal parameters function as Take Profit and Stop Loss signals... Elliott Wave Complete GoldenTradeClub GoldenTradeClub Jul 4 1. Indicator Presentation Name: Elliott Wave Complete Type: Pine Script v5 overlay dashboard for TradingView Purpose: Automates Elliott Wave motive (1-5) and corrective (A-B-C) pattern detection on any timeframe, enriches it with classic ZigZag pivots, dynamic Fibonacci projection levels, optional wave-count info box, and real-time alerts—all in one... 💀⚡ PTS WIZARD 666™ ULTIMATE SUPREME V5.0 - COMPLETE FIXED ⚡💀 GoldenTradeClub GoldenTradeClub Jul 4 1. Indicator Presentation Name: 💀⚡ PTS WIZARD 666™ ULTIMATE SUPREME V5.0 – COMPLETE FIXED Short ID: PTS-666-SUPREME Type: Pine Script v5 overlay dashboard for TradingView Purpose: An all-in-one trading overlay that integrates advanced WaveTrend momentum, RSI/MFI analysis, POC volume profiling, multiple Fibonacci golden/ultimate zones, volume footprint & imbalance... 🔥 PTS TRADE 666™ ULTIMATE BOOKMAP + QUANTUM ENGINE GoldenTradeClub GoldenTradeClub Jul 4 1. Indicator Presentation Name: 🔥 PTS TRADE 666™ ULTIMATE BOOKMAP + QUANTUM ENGINE Short ID: PTS666_QUANTUM_FINAL Type: Pine Script v5 overlay dashboard for TradingView Purpose: A cutting-edge, institutional-grade suite that unifies bookmap-style footprint volume profiling, dynamic heatmap liquidity analysis, AI-driven pattern recognition, smart-money protocols,... 🔥 PTS TRADE 666™ - ULTIMATE INSTITUTIONAL TOOL 🔥 GoldenTradeClub GoldenTradeClub Jul 4 1. Indicator Presentation Name: 🔥 PTS TRADE 666™ – ULTIMATE INSTITUTIONAL TOOL V2.0 Short ID: PTS666_UIT_V2 Type: Pine Script v5 overlay dashboard for TradingView Purpose: Combines institutional-grade footprint volume analysis, smart-money structure detection, statistical anomaly checks, multi-timeframe divergence, Ichimoku insights, pattern recognition, and an... PTS Wizard GoldenTradeClub GoldenTradeClub Jul 4 1. Indicator Presentation Name: PTS Wizard Short Title: PTS Wizard Type: Pine Script v5 overlay dashboard for TradingView Purpose: A unified multi-strategy toolkit that overlays key market insights—liquidity zones, smart-money structure, footprint-style volume profile, consolidation ranges, statistical deviation bands, price forecasts, and session analysis—into a... 🔥 PTS.TRADE 666™ ULTIMATE HYBRID + MTF V3 GoldenTradeClub GoldenTradeClub Jul 4 1. Indicator Presentation Name: 🔥 PTS.TRADE 666™ ULTIMATE HYBRID + MTF V3 Short ID: PTS666_ULTIMATE_MTF_V3 Type: Overlay dashboard for TradingView Purpose: A next-level hybrid trading suite that merges institutional-grade order-flow analysis, smart-money concepts, AI-driven insights, classic momentum oscillators (WaveTrend, divergence, “Gold” signals),... 🧙‍♂ PTS WIZARD V3.0 - FINAL EDITION GoldenTradeClub GoldenTradeClub Jul 4 1. Indicator Presentation Name: 🧙‍♂ PTS WIZARD V3.0 – FINAL EDITION Short Title: PTS-WIZARD-V3-FINAL Type: Overlay trading dashboard for TradingView Purpose: A comprehensive multi-module indicator that blends classic cipher momentum signals, Elliott Wave pattern detection, advanced statistical analyses (Z-Score, Benford’s Law, Ehlers SNR), footprint-style volume... 🧙‍♂ PTS WIZARD V3.0 + FOOTPRINT ULTIMATE GoldenTradeClub GoldenTradeClub Jul 4 Name: PTS WIZARD V3.0 + FOOTPRINT ULTIMATE Type: Overlay trading dashboard for TradingView Purpose: Combines classic cipher-style momentum signals with an advanced footprint volume profile, multi-timeframe bias, statistical filters, and a fusion-score system—displayed in a customizable on-chart dashboard. Core Modules Cipher Momentum Signals WaveTrend... 🧙‍♂ PTS WIZARD V3.0 - BASIC GoldenTradeClub GoldenTradeClub Jul 1 PTS WIZARD V3.0 Basic – Ultimate Multi-Tool Trading Dashboard An all-in-one overlay combining classic cipher signals, Elliott Wave pattern detection, volume analytics, divergence spotting, and smart-entry timing—backed by advanced statistical filters and a live dashboard. Key Features Cipher Signals WaveTrend with overbought/oversold zones & cross signals RSI... Trading Engine vCD AI GoldenTradeClub GoldenTradeClub Jun 15 The Trading Engine includes the best and most effective technical analysis tools. It has 27 different Buy Signal parameters and 26 different Sell Signal parameters. Furthermore, it also has 9 Stop Loss triggers for Long Positions and 8 Stop Loss triggers for Short Positions. Many of the Buy or Sell Signal parameters function as Take Profit and Stop Loss signals... Trading Engine vCD GoldenTradeClub GoldenTradeClub Updated Mar 21 The Trading Engine includes the best and most effective technical analysis tools. It has 27 different Buy Signal parameters and 26 different Sell Signal parameters. Furthermore, it also has 9 Stop Loss triggers for Long Positions and 8 Stop Loss triggers for Short Positions. Many of the Buy or Sell Signal parameters function as Take Profit and Stop Loss signals... TE CLIENT v13 GoldenTradeClub GoldenTradeClub Updated Mar 15 The Trading Engine includes the best and most effective technical analysis tools. It has 27 different Buy Signal parameters and 26 different Sell Signal parameters. Furthermore, it also has 9 Stop Loss triggers for Long Positions and 8 Stop Loss triggers for Short Positions. Many of the Buy or Sell Signal parameters function as Take Profit and Stop Loss signals... Trading Engine v13 GoldenTradeClub GoldenTradeClub Updated Mar 15 The Trading Engine includes the best and most effective technical analysis tools. It has 27 different Buy Signal parameters and 26 different Sell Signal parameters. Furthermore, it also has 9 Stop Loss triggers for Long Positions and 8 Stop Loss triggers for Short Positions. Many of the Buy or Sell Signal parameters function as Take Profit and Stop Loss signals... Trading Engine B2B GoldenTradeClub GoldenTradeClub Updated Jan 14 The Trading Engine includes the best and most effective technical analysis tools. It has 25 different Buy Signal parameters and 24 different Sell Signal parameters. Furthermore, it also has 9 Stop Loss triggers for Long Positions and 8 Stop Loss triggers for Short Positions. Many of the Buy or Sell Signal parameters function as Take Profit and Stop Loss signals... Trading Engine B2B FX V9 GoldenTradeClub GoldenTradeClub Updated Jan 14 The VFLOW Trading Engine includes the best and most effective technical analysis tools. It has 20 different Buy Signal parameters and 18 different Sell Signal parameters. Furthermore, it also has 7 Stop Loss triggers for Long Positions and 5 Stop Loss triggers for Short Positions. Many of the Buy or Sell Signal parameters function as Take Profit and Stop Loss... English Select market data provided by ICE Data services. Select reference data provided by FactSet. Copyright © 2025 FactSet Research Systems Inc. © 2025 TradingView, Inc. More than a product Supercharts Screeners Stocks ETFs Bonds Crypto coins CEX pairs DEX pairs Pine Heatmaps Stocks ETFs Crypto Calendars Economic Earnings Dividends More products Yield Curves Options News Flow Pine Script® Apps Mobile Desktop Tools & subscriptions Features Pricing Market data Trading Overview Brokers Special offers CME Group futures Eurex futures US stocks bundle About company Who we are Athletes Blog Careers Media kit Merch TradingView store Tarot cards for traders The C63 TradeTime Policies & security Terms of Use Disclaimer Privacy Policy Cookies Policy Accessibility Statement Security tips Bug Bounty program Status page Community Social network Wall of Love Refer a friend House Rules Moderators Ideas Trading Education Editors' picks Pine Script Indicators & strategies Wizards Freelancers Business solutions Widgets Charting libraries Lightweight Charts™ Advanced Charts Trading Platform Growth opportunities Advertising Brokerage integration Partner program Education program Look First Close Updated 3 hours ago Institutional Analyst Board Manage access Remove from favorites Use on chart 0 11 Jul 19 📊 Institutional Analyst Board – Smart Money Confluence Scanner for XAUUSD, Forex, Crypto 🔍 Overview The Institutional Analyst Board is a complete multi-timeframe smart money toolkit designed for traders who demand clarity, confluence, and precision. It brings together institutional-grade metrics—Order Blocks (OB), Fair Value Gaps (FVG), Liquidity Sweeps, MACD/RSI bias, VWAP positioning, and Break of Structure (BoS)—into a single powerful visual dashboard. This indicator is especially optimized for Gold (XAUUSD) but is also compatible with Crypto and Forex assets. 🧠 Key Features ✅ Multi-Timeframe Dashboard (5M / 15M / 1H) ✅ Order Block Detection with dynamic zones that extend until broken ✅ Fair Value Gap Detection with clear zone shading and border distinction ✅ MACD + RSI Confluence for momentum and bias alignment ✅ VWAP Positioning to identify premium/discount zones ✅ Liquidity Sweeps (internal/external range breaks) ✅ Killzone Highlighting (Asia / London / New York) ✅ Break of Structure (BoS) with advanced confluence filters ✅ Gold Bias Flags across timeframes (BUY / SELL / NEUTRAL) ✅ Dynamic Price Watermark with real-time data ✅ Fully customizable colors, transparencies, and text labels 🧠 How It Works The Board uses institutional logic to analyze the chart in real time: Metric Purpose OB Zones Highlight potential smart money footprints where price is likely to react. FVG Zones Identify imbalance areas between buyers and sellers—ideal for mean reversion entries. MACD/RSI Confirm momentum direction and relative strength confluence. VWAP Determine whether price is trading at a premium or discount. Liquidity Sweeps Detect manipulative moves before major reversals. BoS Mark potential trend reversals, filtered by institutional confluence. Each signal is computed across 3 timeframes and visualized in a clean board that updates live. You’ll also see labels, alerts, and session overlays for maximum clarity. 📌 Ideal Use Case This tool is perfect for: Funded Challenge Traders (FTMO, MyForexFunds, etc.) Gold scalpers and intraday traders Crypto price action traders using BTC, ETH, SOL, etc. Smart Money Concept (SMC) and ICT followers ⚙️ Customization Options Toggle each module (OB, FVG, VWAP, MACD/RSI, etc.) Set transparency and color for each zone type Adjust Killzone timing (Asia, London, NY) Control board position (Top/Bottom) and metric visibility 📈 Compatible Assets ✅ XAUUSD (optimized) ✅ Forex majors/minors ✅ Crypto pairs (BTC, ETH, SOL, etc.) ✅ Indices (GER40, NASDAQ, SPX with minor adaptation) 🛠️ Requirements Use on TradingView v5 Set chart time to UTC+0 or UTC+3 for optimal Killzone accuracy For crypto, redefine Killzone hours if needed (24/7 market) 🧠 Pro Tip Pair this indicator with volume profile tools, CVD/Delta Flow, or Footprint overlays to build high-confidence trade setups with clear institutional confluence.
Penunjuk Pine Script®
oleh GoldenTradeClub
Quantum Dip Hunter | AlphaNattQuantum Dip Hunter | AlphaNatt 🎯 Overview The Quantum Dip Hunter is an advanced technical indicator designed to identify high-probability buying opportunities when price temporarily dips below dynamic support levels. Unlike simple oversold indicators, this system uses a sophisticated quality scoring algorithm to filter out low-quality dips and highlight only the best entry points. "Buy the dip" - but only the right dips. Not all dips are created equal. ⚡ Key Features 5 Detection Methods: Choose from Dynamic, Fibonacci, Volatility, Volume Profile, or Hybrid modes Quality Scoring System: Each dip is scored from 0-100% based on multiple factors Smart Filtering: Only signals above your quality threshold are displayed Visual Effects: Glow, Pulse, and Wave animations for the support line Risk Management: Automatic stop-loss and take-profit calculations Real-time Statistics: Live dashboard showing current market conditions 📊 How It Works The indicator calculates a dynamic support line using your selected method When price dips below this line, it evaluates the dip quality Quality score is calculated based on: trend alignment (30%), volume (20%), RSI (20%), momentum (15%), and dip depth (15%) If the score exceeds your minimum threshold, a buy signal arrow appears Stop-loss and take-profit levels are automatically calculated and displayed 🚀 Detection Methods Explained Dynamic Support Adapts to recent price action Best for: Trending markets Uses ATR-adjusted lowest points Fibonacci Support Based on 61.8% and 78.6% retracement levels Best for: Pullbacks in strong trends Automatically switches between fib levels Volatility Support Uses Bollinger Band methodology Best for: Range-bound markets Adapts to changing volatility Volume Profile Support Finds high-volume price levels Best for: Identifying institutional support Updates dynamically as volume accumulates Hybrid Mode Combines all methods for maximum accuracy Best for: All market conditions Takes the most conservative support level ⚙️ Key Settings Dip Detection Engine Detection Method: Choose your preferred support calculation Sensitivity: Higher = more sensitive to price movements (0.5-3.0) Lookback Period: How far back to analyze (20-200 bars) Dip Depth %: Minimum dip size to consider (0.5-10%) Quality Filters Trend Filter: Only buy dips in uptrends when enabled Minimum Dip Score: Quality threshold for signals (0-100%) Trend Strength: Required trend score when filter is on 📈 Trading Strategies Conservative Approach Use Dynamic method with Trend Filter ON Set minimum score to 80% Risk:Reward ratio of 2:1 or higher Best for: Swing trading Aggressive Approach Use Hybrid method with Trend Filter OFF Set minimum score to 60% Risk:Reward ratio of 1:1 Best for: Day trading Scalping Setup Use Volatility method Set sensitivity to 2.0+ Focus on Target 1 only Best for: Quick trades 🎨 Visual Customization Color Themes: Neon: Bright cyan/magenta for dark backgrounds Ocean: Cool blues and teals Solar: Warm yellows and oranges Matrix: Classic green terminal look Gradient: Smooth color transitions Line Styles: Solid: Clean, simple line Glow: Adds depth with glow effect Pulse: Animated breathing effect Wave: Oscillating wave pattern 💡 Pro Tips Start with the Trend Filter ON to avoid catching falling knives Higher quality scores (80%+) have better win rates but fewer signals Use Volume Profile method near major support/resistance levels Combine with your favorite momentum indicator for confirmation The pulse animation can help draw attention to key levels ⚠️ Important Notes This indicator identifies potential entries, not guaranteed profits Always use proper risk management Works best on liquid instruments with good volume Backtest your settings before live trading Not financial advice - use at your own risk 📊 Statistics Panel The live statistics panel shows: Current detection method Support level value Trend direction Distance from support Current signal status 🤝 Support Created by AlphaNatt For questions or suggestions, please comment below! Happy dip hunting! 🎯 Not financial advice, always do your own research
Penunjuk Pine Script®
oleh AlphaNatt
4
OI BTC Profile# 🚀 Bitcoin Open Interest Profile ## 📊 **What is this indicator?** The **Bitcoin Open Interest Profile** is an advanced indicator developed in Pine Script v6 that visualizes the distribution of Bitcoin's Open Interest (OI) across different price levels, similar to a Volume Profile but using Open Interest data. ## 🎯 **Key Features** ### **Open Interest Analysis** - **Dual Mode**: Visualizes both absolute OI value and net changes - **Data Source**: Uses Open Interest data from BINANCE:BTCUSDT.P-OI - **Configurable Lookback**: Up to 1000 historical bars for analysis ### **Professional Visualization** - **Horizontal Profile**: Horizontal bars showing OI concentration by price level - **Point of Control (POC)**: Automatically identifies the level with highest OI concentration - **Rolling POC**: Option to display dynamic POC in real-time ### **Advanced Customization** - **3 Color Schemes**: - **OI Gradient**: Colors by Open Interest intensity - **Bull/Bear**: Green for increases, red for decreases - **Custom**: Customizable color - **Adjustable Histogram**: Width, position, and orientation configurable - **Up to 500 levels**: Ultra-high resolution for detailed analysis ## 🔧 **Configurable Parameters** ### **Basic Settings** - `Lookback`: Number of bars to analyze (1-1000) - `Row Size`: Profile resolution (1-500 levels) - `Rolling POC`: Show dynamic POC - `OI Calculation`: Absolute value or net change ### **Style Settings** - `Width`: Histogram width (% of range) - `Bar Width`: Bar thickness - `Flip Histogram`: Invert orientation - `Color Schemes`: Multiple coloring options ## 📈 **Trading Applications** ### **Support and Resistance Analysis** - Identifies levels with highest concentration of open positions - POC acts as a magnetic price attractor ### **Liquidity Zone Detection** - High OI levels may indicate potential liquidation zones - Useful for identifying stop-loss clusters ### **Sentiment Analysis** - OI changes reveal accumulation or distribution patterns - Difference between absolute value and net changes provides context ### **Entry Timing** - Rolling POC can act as dynamic support/resistance - Confluence with traditional technical analysis ## 💡 **Competitive Advantages** ### **Optimized Performance** - Maximum 500 simultaneous lines for smooth operation - Efficient calculations with native arrays - Compatible with multiple timeframes ### **Total Flexibility** - Adaptable to different trading strategies - Granular configuration for each trader - Overlay that doesn't interfere with price analysis ### **Institutional Data** - Access to market-moving metrics - Information not available in traditional indicators - Informational advantage over retail traders ## 🚨 **Recommended Use Cases** ### **Scalping and Day Trading** - Use high resolution (300-500 rows) with short lookback (50-100 bars) - Rolling POC as intraday reference ### **Swing Trading** - Medium resolution (100-200 rows) with extended lookback (200-500 bars) - Focus on high OI levels for targets ### **Positional Analysis** - Maximum lookback (500-1000 bars) for historical context - Identification of accumulation/distribution zones ## 🎨 **Visual Examples** The indicator generates a horizontal profile showing: - **Longer bars**: Higher Open Interest concentration - **POC (dotted line)**: Level of maximum interest - **Color gradient**: OI intensity or bull/bear sentiment ## 🔥 **Why is it unique?** 1. **First of its kind**: Combines volume analysis with derivatives metrics 2. **Institutional precision**: Real-time Open Interest data 3. **Extreme versatility**: Adaptable to any trading style 4. **Optimized performance**: Efficient code for professional use ## 📞 **Feedback and Improvements** Would you like to see any additional functionality? Any specific parameters for your strategy? --- *Developed by an experienced trader for experienced traders. Compatible with Pine Script v6 and optimized for Bitcoin, but adaptable to other instruments with available OI data.*
Penunjuk Pine Script®
oleh didaz
MojoPivots Breakout Signals [DonnieMojo]The MojoPivots Breakout Indicator is a precision-engineered tool designed for traders seeking high-probability breakout opportunities using dynamic pivot structures and real-time volume imbalances. Built on DonnieMojo’s breakout framework, this indicator analyzes market structure via custom MR (Major Resistance) and MS (Major Support) levels, dynamically derived from intraday volume profiles and statistical price expansion. It intelligently tracks and visualizes potential breakout zones, key "line-in-the-sand" levels, and take-profit targets (TP1, TP2, TP3) based on volatility-adjusted zones. 🔑 Core Features: Breakout Signal Detection Identifies potential bullish and bearish breakouts when price breaches predefined resistance (MR1) or support (MS1) levels with confirmation from volume dynamics. Smart Take-Profit System Targets are automatically mapped to MR2–MR4 and MS2–MS4, offering structured TP zones based on standard deviation thresholds. Delta Zone Visuals Color-coded fills display real-time buyer/seller dominance in each zone using an imbalance-weighted volume model. VPOC "Sand Line" The Volume Point of Control is plotted to show the session's key battle line for trend continuation or rejection. Statistical Performance Panel Live breakout stats with hit-rate bars (TP1/TP2/TP3) help you evaluate performance and adjust trade management. 🧪 Usage Tips: Timeframe Sync: The default detection logic is based on 15-minute candles, but pivot zones are calculated from higher timeframes (2H by default). Adjust these in the settings to suit your strategy. Entry Trigger: Wait for price to close below MS1 or above MR1 and breach it on the next bar to confirm a breakout signal. TP Scaling: Use TP1 for conservative exits or scale out progressively at TP2 and TP3 for extended moves. Volume Confirmation: Delta zone fills (green/red) help validate whether breakout levels are supported by buyer/seller strength — fade low-delta signals with caution. Combine with Trend Filters: Enhance results by using MojoPivots alongside trend indicators like EMAs, ADX, or macro S/R.
Penunjuk Pine Script®
oleh TrendlyIndicators