SMART MONEY SMT+BOS+ENTRYThis advanced trading indicator combines Smart Money Theory (SMT) and Break of Structure (BOS) analysis with synchronized multi-asset monitoring. The core concept identifies institutional activity by detecting discrepancies between correlated assets, revealing potential accumulation zones and reversal points before they become apparent to retail traders.
Key Features
Smart Money Detection:
Real-time divergence analysis between two selected assets (e.g., BTC/ETH, Gold/Silver, Currency pairs)
Identification of institutional accumulation/distribution patterns
Trend confirmation through structural sweeps and momentum shifts
Structural Analysis:
Break of Structure (BOS) detection with multi-factor confirmation
ATR-based candle size filtering to eliminate false breakouts
Clear structural shift identification with visual confirmation
Risk-Managed Execution:
Dual entry modes: Immediate (on BOS close) or Retest (on pullback to level)
Automated stop-loss placement at last structural extreme
Dynamic take-profit calculation based on user-defined risk/reward ratio
Support for long-only, short-only, or bidirectional trading strategies
Visual Interface
Colored arrows signaling buy/sell opportunities at optimal entry points
Real-time stop-loss and take-profit level visualization
SMT divergence markers above/below price action
Structural level indicators for clear market context
Configuration Options
Asset Pair Selection - Primary and secondary symbols for comparative analysis
Trading Direction - Long, Short, or Both directions
Swing Sensitivity - Adjustable pivot point detection period
Risk/Reward Ratio - Customizable profit targets relative to risk
BOS Confirmation Filter - Minimum candle body size requirement via ATR percentage
Optimal Application
Best performance on correlated assets (crypto pairs, commodities, indices)
Effective across multiple timeframes (M15 for entries, H4/D1 for context)
Combines well with volume profile and order flow analysis
Suitable for both discretionary and systematic trading approaches
Technical Advantages
Dual-asset synchronization for early signal detection
Multi-layer filtering system reducing false positives
Integrated risk management with visual guidance
Customizable sensitivity for different market conditions
Русская версия
Индикатор Smart Money Theory (SMT) + Break of Structure (BOS)
Обзор
Этот продвинутый торговый индикатор объединяет анализ Smart Money Theory (SMT) и Break of Structure (BOS) с синхронизированным мониторингом нескольких активов. Основная концепция выявляет активность институциональных игроков путем обнаружения расхождений между коррелирующими активами, показывая зоны накопления и точки разворота до того, как они становятся очевидными для розничных трейдеров.
Ключевые возможности
Детекция "умных денег":
Анализ дивергенций в реальном времени между двумя выбранными активами
Выявление паттернов накопления/распределения институциональными участниками
Подтверждение тренда через структурные сдвиги и изменения импульса
Структурный анализ:
Обнаружение Break of Structure (BOS) с многофакторным подтверждением
Фильтрация по размеру свечи на основе ATR для устранения ложных пробоев
Четкая идентификация структурных сдвигов с визуальным подтверждением
Управление рисками:
Два режима входа: Немедленный (при закрытии BOS) или Ретест (при откате к уровню)
Автоматическое размещение стоп-лосса на последнем структурном экстремуме
Динамический расчет тейк-профита на основе заданного риск-риворда
Поддержка лонг-стратегий, шорт-стратегий или обоих направлений
Визуальный интерфейс
Цветные стрелки, сигнализирующие о точках входа на покупку/продажу
Визуализация уровней стоп-лосса и тейк-профита в реальном времени
Маркеры SMT-дивергенций над/под ценовым действием
Индикаторы структурных уровней для четкого контекста рынка
Настройки
Выбор пары активов - Основной и вторичный символы для сравнительного анализа
Направление торговли - Лонг, Шорт или Оба направления
Чувствительность свингов - Настраиваемый период детекции точек разворота
Коэффициент риск/вознаграждение - Настраиваемые цели по прибыли относительно риска
Фильтр подтверждения BOS - Минимальный размер тела свечи в процентах от ATR
Оптимальное применение
Наилучшие результаты на коррелирующих активах (криптопары, товары, индексы)
Эффективен на различных таймфреймах (M15 для входов, H4/D1 для контекста)
Хорошо сочетается с анализом Volume Profile и ордерного потока
Подходит как для дискреционного, так и для системного трейдинга
Технические преимущества
Синхронизация двух активов для раннего обнаружения сигналов
Многоуровневая система фильтрации, снижающая ложные срабатывания
Интегрированное управление рисками с визуальным сопровождением
Настраиваемая чувствительность под разные рыночные условия
Wyszukaj w skryptach "GOLD"
ICT Professional OB HunterICT Professional OB Hunter
A professional-grade Order Block mapping tool designed for traders following Smart Money Concepts to track institutional order flow and significant market structures.
This tool identifies validated Order Blocks with Break of Structure confirmation, filtering out market noise and focusing only on high-probability levels where institutional participation is evident.
How It Works
The script operates without repainting, using historical swing highs and lows as reference points rather than future data. Three core criteria must be satisfied before an Order Block is drawn:
Strong Candle Formation: The candle must have a significant body (no dojis), exceeding the ATR threshold—indicating genuine institutional participation rather than indecision.
Displacement: Following the Order Block candle, price must move with momentum exceeding 1.5x the ATR. This captures true "market shifting" moves while ignoring slow, low-volume price action.
Break of Structure: Price must definitively break the previous swing high or low to confirm momentum before the Order Block is validated and drawn.
What You See on the Chart
Thick Blue Lines: Bullish Order Blocks representing demand zones where price historically finds support and reacts upward.
Thick Orange Lines: Bearish Order Blocks representing supply zones that act as resistance.
Yellow Boxes: OTE (Optimal Trade Entry) zones between the 50% and 61.8% retracement levels of the Order Block—ICT's preferred fib confluence area for precision entries.
Dashed Lines: Breaker Blocks indicating former Order Blocks that have been violated by price and now act as reverse levels or "mitigated" areas.
Key Differences from Standard Tools
Most available Order Block indicators mark every red or green candle indiscriminately, creating excessive noise and poor trading opportunities. This code implements a displacement filter to capture only structures formed after significant, volume-backed institutional moves. It contains no future reference or repainting logic—all decisions finalize strictly on bar close based on confirmed historical data.
Settings
Displacement Lookback (2-5 bars): Determines how many subsequent bars to analyze for momentum confirmation after the initial Order Block candle. Three bars provides the optimal balance between responsiveness and confirmation.
ATR Multiplier (0.5+): Sets the sensitivity for displacement detection. A value of 1.5 works well for Gold (XAU/USD). Lower values generate more Order Blocks but decrease quality and reliability.
Mitigation Zones: Toggle the display of OTE (Optimal Trade Entry) boxes on or off.
Usage Recommendations
This indicator is not a standalone buy/sell signal generator—it marks zones where institutional capital is likely positioned.
Recommended approach:
Apply to 15-minute or 1-hour charts, particularly during the New York session (14:30-17:00 EST) when institutional volume peaks.
Wait for price to reach the confluence of the Blue Line and Yellow OTE box.
The setup invalidates if price closes below the OTE zone boundary.
When Orange lines transition to dashed (Breaker Block), recognize that former support has become resistance; adjust position management accordingly.
Risk Warning
This is a statistical model based on historical price behavior, not a "holy grail" solution. Market conditions change, particularly during high-volatility macroeconomic news events (FOMC, CPI, NFP), where Order Blocks may fail. Always employ stop-loss protection and integrate this tool as one component of a comprehensive risk management strategy rather than relying on it exclusively.
Written in Pine Script v6 utilizing array structures for efficient real-time line updates and optimized for performance even on older hardware configurations.
Developer Note: Historical backtest analysis indicates that BOS-validated Order Blocks, particularly in Gold (XAU/USD) and major indices, demonstrate improved win rates when combined with disciplined entry criteria and proper risk management. However, the market retains ultimate authority—respect price action above all indicators.
Bitcoin Macro Trend IndicatorBitcoin Macro Trend Indicator: A Multi-Timeframe Confirmation System for Strategic Positioning
Introduction
The Bitcoin Macro Trend Indicator is a comprehensive technical analysis tool designed for cryptocurrency traders and investors seeking to navigate Bitcoin's volatile cycles. It integrates multiple exponential moving averages (EMAs) and MACD variations into a unified system that identifies long-term accumulation zones, bull market tops, and strategic re-entry points. This document outlines the logical foundation of this integration, explains the synergistic operation of its components, and provides practical guidance for its application.
Rationale for Multi-Indicator Integration
Bitcoin's market behavior exhibits distinct cyclical patterns characterized by extended accumulation periods, parabolic advances, and sharp corrections. Single indicators often generate false signals during volatile conditions. This system employs a layered confirmation approach where:
Ultra-long-term EMAs establish the primary trend context
Medium-term EMA crossovers identify trend transitions
Multiple MACD configurations detect momentum shifts across different time horizons
This multi-timeframe methodology reduces noise and increases signal reliability by requiring convergence across independent but complementary technical elements.
Component Synergy and Operational Mechanism
1. EMA Framework: The Trend Foundation
700-period EMA: Serves as the primary trend baseline. Prices below this line suggest long-term undervaluation (accumulation territory), while sustained positions above indicate established bull markets.
18/63-period EMA Pair: Functions as the core trend transition system. The golden cross (18 above 63) confirms bullish momentum, while the death cross signals potential trend exhaustion.
12/52-period EMA Pair: Specialized for identifying renewed momentum after corrections within ongoing trends, reducing premature re-entry during false recoveries.
12-period EMA (Auxiliary): Provides early warning of short-term trend deterioration that may precede larger corrections.
2. MACD Ensemble: Momentum Verification
Bottom MACD (168/364/6): With exceptionally slow parameters, this configuration filters out short-term noise to identify genuine long-term momentum shifts characteristic of market bottoms.
Top MACD (63/133/1): Optimized for detecting momentum divergence at potential market tops, where traditional MACD settings often lag.
Local Top Warning MACD (30/65/4): Balanced to capture intermediate-term momentum deterioration that frequently precedes significant pullbacks.
Early Bull MACD (9/19/6): Sensitive to initial momentum surges following accumulation periods, providing early confirmation of trend initiation.
3. Signal Hierarchy and Progressive Confirmation
The indicator employs a cascading confirmation logic:
Stage 1 (Accumulation): Requires both long-term MACD improvement AND price position below the 700-period EMA. Strong accumulation signals add Early Bull MACD confirmation.
Stage 2 (Warning): Local top warnings activate only when multiple conditions align: medium-term trend remains bullish, ultra-long-term trend confirms strength, AND specialized MACDs show momentum deterioration.
Stage 3 (Re-entry): Requires both EMA crossover confirmation AND momentum recovery in the warning MACD, reducing false continuation signals.
Stage 4 (Top Confirmation): The most stringent criteria, demanding convergence across long-term, medium-term, and momentum indicators before signaling major trend reversal.
Practical Application and Interpretation
Signal Classification System
Accumulation Zones (Green): Areas where long-term indicators suggest undervaluation. These represent strategic buying opportunities for patient investors.
Strong Accumulation Signals (Dark Green): Enhanced accumulation zones with additional momentum confirmation, suggesting higher-probability entry points.
Local Top Warnings (Orange/Red): Progressive warnings of increasing risk, with red zones indicating conditions historically associated with more severe corrections.
Re-entry Opportunities (Blue): Post-correction zones where momentum recovery aligns with trend resumption signals.
Bull Market Termination (Purple): Signals suggesting completion of major advance cycles, prompting defensive positioning.
Top Confirmation (Dark Red): High-confidence reversal signals with multi-timeframe confirmation.
Usage Guidelines
Timeframe Recommendation: Designed primarily for daily and weekly charts where macroeconomic trends are most evident.
Position Sizing: Accumulation signals support gradual position building, while warning signals suggest reducing exposure rather than immediate liquidation.
Corroboration: Although self-contained, the indicator performs best when combined with volume analysis and fundamental considerations.
Historical Validation: Users should review signal performance across multiple market cycles to understand characteristic behaviors.
Limitations and Considerations
No technical indicator predicts market movements with absolute certainty. This tool provides probabilistic assessments based on historical patterns.
Extraordinary market events or fundamental shifts may override technical signals.
The indicator's parameters, while optimized for Bitcoin's historical behavior, may require adjustment for unprecedented market conditions.
Signals should be interpreted in context of overall market structure and trader/investor time horizon.
Originality and Differentiation
This system represents a novel synthesis of established technical concepts through:
Parameter Optimization: Specific EMA and MACD periods calibrated to Bitcoin's characteristic volatility and cycle duration.
Conditional Layering: Unlike single-criterion systems, signals require convergence across independent technical dimensions.
Progressive Warning System: Multi-stage alerts that distinguish between routine corrections and potential trend reversals.
Macro-Micro Integration: Simultaneous analysis of ultra-long-term trends and short-term momentum shifts.
Empirical Foundation
The indicator's design incorporates observations from Bitcoin's market behavior since 2010, particularly:
The tendency for major bottoms to form during extended periods below long-term moving averages
Characteristic momentum patterns preceding significant tops
The predictive value of specific EMA relationships during different market phases
Historical performance of multi-timeframe confirmation versus single indicators
Conclusion
The Bitcoin Macro Trend Indicator provides a structured framework for identifying high-probability turning points in Bitcoin's market cycles. By integrating multiple technical perspectives into a confirmation hierarchy, it reduces reaction to market noise while maintaining sensitivity to genuine trend changes. Users should employ this tool as part of a comprehensive trading plan that includes risk management protocols and consideration of external market factors. The system's greatest utility emerges when understood not as a predictive oracle but as a systematic method for identifying favorable risk-reward scenarios based on multi-timeframe technical convergence.
Professional Clean BTC ChartInstitutional Price Structure is a clean, price-focused charting tool designed to provide traders with a clear and distraction-free view of market structure, trend context, and key reference levels.
The indicator replaces default candles with neutral grayscale price bars to reduce visual noise and improve readability during high-volatility conditions. Trend direction is defined using a fast and slow exponential moving average, offering immediate context without lag-heavy complexity.
A session-based VWAP is included as a core institutional benchmark, allowing traders to quickly assess mean reversion, premium/discount zones, and intraday bias. Daily high and low levels are plotted automatically to highlight key liquidity boundaries and reaction zones commonly respected by professional participants.
This tool is intentionally minimalist—free of oscillators and signals—to support discretionary decision-making, execution precision, and price-action-based strategies across intraday and swing timeframes.
Ultimate Trend Dashboard [Multi-Timeframe]This is a Universal Market Scanner designed for Crypto, Forex, and Metals (Gold/Silver). Instead of checking multiple charts one by one, this dashboard monitors 4 different timeframes instantly from a single screen.
### 🧠 How It Works ( The Logic) The system uses a "Double Confirmation" strategy to determine the true trend direction: 1. Supertrend: Checks if the momentum is Bullish or Bearish. 2. EMA 200 Filter: Checks if the price is above or below the 200-period Exponential Moving Average (The most important long-term trend line).
A signal is only generated if BOTH indicators agree.
### 📊 Dashboard Overview The panel on the screen scans the following timeframes (Adjustable in settings): * 15 Minutes (Scalping Trend) * 1 Hour (Intraday Trend) * 4 Hours (Swing Trend) * Daily (Major Trend)
### 🚦 How to Use (Step-by-Step)
1. Look at the "TOTAL" Row: The script calculates a score based on all timeframes.
2. STRONG BUY 🚀 (All Green): * Meaning: All timeframes (Short & Long term) are Bullish. * Action: Look for Long entries. Do not Short.
3. STRONG SELL 🔻 (All Red): * Meaning: All timeframes are Bearish. * Action: Look for Short entries. Do not Buy.
4. NEUTRAL ⚠️ (Mixed Colors): * Meaning: The market is confused (e.g., Daily is Bullish but 15min is Bearish). * Action: Wait. Do not force a trade until the trend aligns.
### ⚙️ Customization * You can change the Timeframes (e.g., set them to 5m, 15m, 1h, 4h) in the settings. * You can move the table position (Right, Left, Center) to fit your screen. * Works on ANY asset class (BTC, ETH, XAUUSD, EURUSD, Stocks).
StealthFX Signals NavigatorThe StealthFX Signals Navigator is a high-performance trend-following suite designed for traders who demand institutional-grade clarity without the clutter. Inspired by the sleek aesthetics of premium toolkits like LuxAlgo, this indicator strips away the noise to provide a singular, high-probability "path of least resistance" for your trades.
🛡️ The Core Philosophy: "Trade with the Giant"
Most retail traders fail because they fight the primary trend. The Navigator solves this by using a 200-period EMA Filter.
Blue Signals (BUY): Only occur when price action is confirmed above the 200 EMA.
Purple Signals (SELL): Only occur when price action is confirmed below the 200 EMA.
🎯 Precision Entry & Risk Management
Stop guessing where to exit. The Navigator uses a volatility-adjusted ATR engine to calculate your targets the moment a signal prints.
Pip-Clamped Logic: To ensure trades remain realistic, the script automatically clamps your Stop Loss between 30 and 100 pips (with a hard safety cap at 200), making it ideal for Forex and Indices.
1:2 Risk-Reward: Every signal aims for a mathematical edge, setting a Take Profit (Blue Line) that is double the distance of your Stop Loss (Purple Line).
🧹 The "Clean Chart" Evolution
We believe a cluttered chart leads to a cluttered mind.
Smart-Hiding: Unlike standard indicators that leave old lines everywhere, the Navigator tracks price in real-time. The moment your TP or SL is touched, the lines vanish.
Signal Priority: The script resets with every new momentum shift, ensuring you are always looking at the most relevant trade setup.
🚀 Key Features
Modern Aesthetic: A sleek Neon Blue & Deep Purple theme designed for dark-mode enthusiasts.
Universal Scaling: Works across Forex, Crypto, and Stocks thanks to its "Mintick" sensitive calculation engine.
Zero Repaint: Signals confirm on the close of the bar, providing stable historical data for backtesting.
Integrated Alerts: Set-and-forget notifications for both Buy and Sell entries.
📈 How to Use
Identify the Bias: Watch the gray 200 EMA.
Execute: When a label appears, immediately set your limit orders at the displayed Blue (TP) and Purple (SL) levels.
Patience: Let the trade run. The lines will disappear automatically once the outcome is decided.
Best Timeframes: 15m, 1h, 4h. Best Assets: Major FX Pairs (EURUSD, GBPUSD), Gold (XAUUSD), and US Tech Indices.
Cinematic Session Fade [Pro]🎬 Cinematic Session Fade — A Clean Way to See Market Mood
This indicator is designed to enhance visual clarity, not clutter your chart.
Instead of adding more lines, boxes, or signals, it uses soft cinematic session shading to show how market behavior naturally changes throughout the day.
🌍 Session-Based Market Atmosphere
Asia Session (Calm Blue)
Represents balance, low volatility, and range-building conditions.
London Session (Warm Gold)
Highlights the transition phase where momentum often starts to build.
New York Session (Deep Red)
Emphasizes decision-making hours, volatility, and directional moves.
The session colors fade smoothly in the background, creating a professional and distraction-free viewing experience.
🎨 Why This Indicator Looks Clean & Professional
No indicators stacked on price
No buy/sell arrows or noisy labels
Soft, eye-friendly background shading
Clean candle colors for clear price focus
Optimized for dark mode charts
This makes the chart easy to read, easy on the eyes, and visually attractive for both analysis and screenshots.
🧠 How Traders Use It
Identify which session the market is in at a glance
Adjust expectations for volatility and behavior
Combine with your own strategy (structure, SMC, trend, or price action)
Perfect for education, market commentary, and clean chart presentations
📈 Best Markets
Forex
Gold (XAUUSD)
Bitcoin & Crypto
Indices
🎯 Final Note
This tool does not predict price.
It simply provides context and atmosphere, helping traders stay aligned with market rhythm while keeping charts elegant and professional.
If you value clarity over clutter, this indicator is built for you.
Candle Size Table (Big Font & Colors)Symbols: gold, oil, BTC, silver, USDJPY, GBPUSD, USDCAD, AUDUSD
Timeframes: 1m and 5m
Size of the previous candle (for each TF)
I’ll assume “size” = candle range (high − low) of the previous closed candle.
Mitigation POI Master: OB + FVG ConfluenceOverview
The Mitigation POI Master is a Smart Money Concepts (SMC) tool designed to identify high-probability Points of Interest (POI). Unlike standard indicators that clutter your chart with every single block, this script focuses on the Confluence of two critical institutional footprints: Order Blocks (OB) and Fair Value Gaps (FVG).
Key Features
💎 Automated POI Detection: Finds overlapping areas between OBs and FVGs, marking them as premium Demand or Supply zones.
🧹 Smart Mitigation Engine: Real-time tracking of zone mitigation. Once a zone is touched or broken through (customizable), it is automatically removed to keep your chart clean.
⚡ Liquidity Sweep Filter: Includes an optional filter to only show Order Blocks that have successfully swept previous candle liquidity—a hallmark of true institutional intervention.
📊 Volume Confirmation: Integrated volume filter to ensure the zones are born from high-activity impulsive moves.
Settings
Timeframe Usage: This indicator performs best on higher timeframes (H1, H4, Daily) as institutional moves are more significant there. Using lower TFs (M1, M5) may generate too many low-quality zones.
Sensitivity (ATR Multiplier):
- For volatile assets/lower TFs (Crypto, Gold): Increase the Sensitivity input (e.g., 8-10) to filter out noise.
- For stable assets/higher TFs (Forex Majors, Stocks): Use the default Sensitivity (e.g., 4-6).
Mitigation Mode: The default "Breakthrough" mode is safer for high R:R setups. "Touch" mode offers earlier entries but higher risk.
How to Use
Identify the POI: Look for the ✦ DEMAND or ✦ SUPPLY labels.
Wait for the Return: Wait for price to retrace into the POI (Mitigation).
Execute: Use lower timeframe confirmation (like MSB or CHoCH) within these zones for high R:R entries.
Alerts: Set alerts to get notified the moment a new high-confluence POI is formed.
Visual Pro Trend Master by Herman Sangivera ( Papua )Visual pro Trend Mater by Herman Sangivera ( Papuan Trader )
Overview
Visual Pro Trend Master is a high-precision quantitative trading strategy specifically engineered for scalpers operating on lower timeframes (1m, 3m, 5m). The strategy focuses on execution efficiency with a fixed 1:2 Risk-to-Reward (RR) Ratio, powered by a multi-layered filtration system designed to eliminate "whipsaws" and fake signals commonly found in sideways markets.
By integrating institutional volume confirmation (VWAP), trend momentum (ADX Slope), and dynamic volatility sensing (Bollinger Band Squeeze), this script ensures that entries are only triggered when the market exhibits high-probability directional intent.
Key Technical Features
Anti-Sideways Engine: Utilizes Bollinger Band Width to calculate market compression. The strategy automatically enters "standby mode" during a Squeeze, filtering out low-volatility traps.
Trend Acceleration Filter: Not only does it check for ADX strength, but it specifically looks for a rising ADX slope. This ensures you enter as momentum is building, not when it is exhausting.
Institutional Alignment (VWAP): Acts as the ultimate trend arbiter. The strategy restricts Long positions to prices above VWAP and Short positions to prices below VWAP.
Dynamic Risk Management (1:2 RR): Stop Loss (SL) is mathematically determined by the Average True Range (ATR) to account for current market noise. The Take Profit (TP) is automatically set at 2x the risk distance.
Professional UI Dashboard: A real-time heads-up display (HUD) in the corner of your chart showing Trend Status, ADX Power, and active Risk Ratios.
Visual Interpretation
Trend Ribbon (Green/Red): Displays the primary trend zone between EMAs. A gray ribbon indicates a transition or a non-trending phase.
Candle Color Coding: Real-time bar coloring provides instant psychological confirmation of trend strength.
Gray Background Shading: Indicates a Bollinger Squeeze. This is a "No-Trade Zone" where fakeouts are most likely to occur.
Fuchsia Line (VWAP): The "Line in the Sand" for institutional sentiment.
Execution Guide
Best Timeframes: 1-Minute, 3-Minute, or 5-Minute.
Recommended Assets: High-liquidity pairs such as Gold (XAUUSD), Major Forex (EURUSD, GBPUSD), and Top-tier Crypto (BTCUSDT, ETHUSDT).
Optimization Tips: * Optimal performance is usually seen during the London and New York session overlaps.
Monitor the Dashboard: If ADX Power is below 25, the market lacks the "fuel" needed to hit a 1:2 TP.
Disclaimer
While this strategy includes advanced risk management and volatility filters, past performance does not guarantee future results. It is highly recommended to paper-trade this strategy first to understand its behavior during high-impact news events.
Scalping Reaper Elite- by Herman Sangivera ( Papua ) Scalping Reaper Elite by Herman Sangivera ( Papuan Trader )
Overview
Scalping Reaper Elite V5 is a high-precision quantitative trading strategy specifically engineered for scalpers operating on lower timeframes (1m, 3m, 5m). The strategy focuses on execution efficiency with a fixed 1:2 Risk-to-Reward (RR) Ratio, powered by a multi-layered filtration system designed to eliminate "whipsaws" and fake signals commonly found in sideways markets.
By integrating institutional volume confirmation (VWAP), trend momentum (ADX Slope), and dynamic volatility sensing (Bollinger Band Squeeze), this script ensures that entries are only triggered when the market exhibits high-probability directional intent.
Key Technical Features
Anti-Sideways Engine: Utilizes Bollinger Band Width to calculate market compression. The strategy automatically enters "standby mode" during a Squeeze, filtering out low-volatility traps.
Trend Acceleration Filter: Not only does it check for ADX strength, but it specifically looks for a rising ADX slope. This ensures you enter as momentum is building, not when it is exhausting.
Institutional Alignment (VWAP): Acts as the ultimate trend arbiter. The strategy restricts Long positions to prices above VWAP and Short positions to prices below VWAP.
Dynamic Risk Management (1:2 RR): Stop Loss (SL) is mathematically determined by the Average True Range (ATR) to account for current market noise. The Take Profit (TP) is automatically set at 2x the risk distance.
Professional UI Dashboard: A real-time heads-up display (HUD) in the corner of your chart showing Trend Status, ADX Power, and active Risk Ratios.
Visual Interpretation
Trend Ribbon (Green/Red): Displays the primary trend zone between EMAs. A gray ribbon indicates a transition or a non-trending phase.
Candle Color Coding: Real-time bar coloring provides instant psychological confirmation of trend strength.
Gray Background Shading: Indicates a Bollinger Squeeze. This is a "No-Trade Zone" where fakeouts are most likely to occur.
Fuchsia Line (VWAP): The "Line in the Sand" for institutional sentiment.
Execution Guide
Best Timeframes: 1-Minute, 3-Minute, or 5-Minute.
Recommended Assets: High-liquidity pairs such as Gold (XAUUSD), Major Forex (EURUSD, GBPUSD), and Top-tier Crypto (BTCUSDT, ETHUSDT).
Optimization Tips: * Optimal performance is usually seen during the London and New York session overlaps.
Monitor the Dashboard: If ADX Power is below 25, the market lacks the "fuel" needed to hit a 1:2 TP.
Disclaimer
While this strategy includes advanced risk management and volatility filters, past performance does not guarantee future results. It is highly recommended to paper-trade this strategy first to understand its behavior during high-impact news events.
Institutional Alpha Vector | D_QUANT Institutional Alpha Vector | D_QUANT
Overview
The Institutional Alpha Vector (IAV) is an original trend-following framework that replaces single-indicator bias with a Weighted Composite Score . Instead of relying on a simple moving average, this script aggregates four distinct quantitative dimensions—Price, Momentum, Volatility, and Volume—into a normalized value called the "Alpha Vector."
The goal of this tool is to identify "Institutional Consensus"—periods where multiple mathematical models align in the same direction, reducing the likelihood of false breakouts in choppy markets.
How It Works: The Quantitative Engines
The script calculates four independent signals. For each module, a state is stored (1 for Bullish, -1 for Bearish, 0 for Neutral).
1. Price Filter (Hull Moving Average):
The script uses an HMA (a weighted moving average that reduces lag by using the square root of the period). A signal is triggered when the price crosses over/under this "Spine."
2. Volatility Regime (RMA + ATR):
This module uses a Moving Average (RMA) combined with an Average True Range (ATR) offset. It acts as a volatility filter that price must move beyond 1 ATR from the mean to register a trend, ensuring the market isn't just "drifting."
3. Momentum Physics (ADX/DMI):
Based on J. Welles Wilder’s Directional Movement Index. It checks if the is above (or vice versa) but only if the ADX (Average Directional Index) is above a user-defined threshold (default: 10), confirming the presence of a strong trend.
4. Institutional Flow (Chaikin Money Flow):
This confirms price action with volume. It calculates the accumulation/distribution of money flow over a specific period. A signal is only valid if the CMF is positive (Bullish) or negative (Bearish).
The Alpha Vector Calculation
This is the core "originality" of the script. The indicator takes the active modules and calculates a Composite Score :
This results in a value between -1.0 and +1.0 .
* High Confidence Long: When the score exceeds +0.1 (adjustable).
* High Confidence Short: When the score drops below -0.1 (adjustable).
* Neutral Zone: When the score is near 0, the script colors the bars grey, signaling a lack of institutional consensus.
Visual Intelligence: The "Electric Conduit"
The script visualizes market energy through a custom rendering engine:
* The Spine: A central line representing the HMA trend.
* The Conduit (Fill): A dynamic gradient that expands or contracts based on the ATR (Average True Range) . This allows traders to see "volatility expansion" (wide ribbon) vs "compression" (tight ribbon) at a glance.
* Bar Coloring : Automatically aligns the chart candles with the Alpha Vector state to remove cognitive load.
How to Use
1. Define your Strategy: In the settings, you can toggle specific modules. If you are trading a low-volume asset, you might disable the **CMF** module.
2. Identify the Consensus: Look for the ribbon to change from Grey (Neutral) to Cyan/Gold.
3. Monitor the HUD: A small dashboard in the bottom right displays the live Alpha Vector score. A score of 1.0 means all four engines are in 100% bullish agreement.
Disclaimer: Trading involves significant risk. This tool is for educational and analytical purposes and does not constitute financial advice.
XAUUSD Psych Zones (0/25/50/75)This indicator plots psychological quarter levels on XAUUSD (0 / 25 / 50 / 75) and highlights them as tradable zones.
Each level is displayed as a horizontal zone with a midpoint line, designed for support & resistance, break-and-retest, and reaction-based trading on gold.
Zones extend across the chart and are sized using a custom pip definition (default: 1 pip = 1.00, ±5 pips each side).
Crypto Precision Signals "Crypto Precision Signals - Reliable" Script Comprehensive Documentation
This document aims to clearly and objectively explain the functional principles, design logic, and usage methods of the "Crypto Precision Signals - Reliable" Pine Script. We adhere to principles of transparency and pragmatism. All descriptions are based on publicly available technical analysis theories, and we make no promises regarding any definitive profit performance. Final trading decisions should be made independently by the user based on comprehensive market analysis.
I. Core Design Philosophy and Originality
The originality of this script lies not in creating new analytical indicators, but in constructing a decision-making framework based on multi-dimensional condition confluence and systematic risk control. Its core philosophy is: a signal from a single indicator has limited reliability, whereas signals from different analytical dimensions (trend, momentum, overbought/oversold levels, market participation) can, when converging under specific rules, potentially identify higher-probability trading environments. Furthermore, the script encourages more disciplined trading through mandatory cooldown mechanisms and visual state tracking.
II. Detailed Explanation of Integration Rationale and Synergistic Operation Mechanism
The script integrates four classic technical elements, and their selection and combination have clear logical justification:
1. Trend & Momentum Foundation Layer: MACD
Integration Rationale: MACD is a classic tool for identifying trend direction, momentum strength, and potential turning points. The crossover of its fast and slow lines is an intuitive representation of momentum change, providing the initial "action signal" for the system.
Synergistic Mechanism: In this script, a MACD golden cross or death cross is one of the primary conditions for triggering a potential buy or sell signal. It acts as the system's "engine," responsible for identifying the initiation of market momentum.
2. Overbought/Oversold & Auxiliary Trigger Layer: RSI
Integration Rationale: RSI measures the speed and magnitude of price changes to gauge overbought or oversold market conditions. It complements the trend-following MACD by providing reference points for market sentiment extremes.
Synergistic Mechanism: The script innovatively sets RSI extremes (<30 oversold, >70 overbought) as trigger conditions parallel to MACD crossovers. This means the system can capture not only trend initiation points but also potential reversal opportunities from extreme sentiment (e.g., a buy point after a pullback to key support within an uptrend due to short-term oversold conditions). MACD and RSI together form a dual-trigger engine of "trend momentum" and "market sentiment."
3. Trend Filter Layer: 50-Period Simple Moving Average (SMA)
Integration Rationale: "Trading with the trend" is a core tenet of technical analysis. The SMA-50 is widely used as a benchmark for medium-term trends.
Synergistic Mechanism: This layer acts as a strict "direction filter." All potential signals generated by MACD or RSI must pass the SMA-50 test:
Buy Signal: The current price must be above the SMA-50, ensuring the trade attempt aligns with the potential medium-term uptrend.
Sell Signal: The current price must be below the SMA-50, ensuring the trade attempt aligns with the potential medium-term downtrend.
This mechanism effectively filters out numerous counter-trend, high-risk reversal attempts, focusing the system on "trading with the major trend" opportunities.
4. Volume Confirmation Layer: Dynamic Volume Average
Integration Rationale: Volume is key to gauging market participation and the authenticity of price movements. Price breakouts or signals lacking volume support are often weak.
Synergistic Mechanism: This is the key validation layer of the script. The system calculates a 30-period average volume and allows users to set a multiplier (default 2.0). A signal is only finally confirmed when the trigger condition (from MACD or RSI) occurs simultaneously with the current bar's volume being significantly higher than the recent average (i.e., a "volume spike"). This validation ensures the signal is supported by broad market participation, aiming to increase the signal's credibility and reduce "false breakouts" or whipsaws caused by low liquidity.
Synergistic Operation Summary:
The script operates like a multi-stage screening funnel:
Signal Trigger: Initiated by a MACD crossover or RSI entering an extreme zone.
Preliminary Trend Screening: The price location of the trigger signal must pass the SMA-50 trend filter (buy above, sell below).
Energy Validation: Concurrently with the above conditions, a volume spike must provide confirmation.
Final Output: Only when all conditions are met simultaneously is a visual "BUY" or "SELL" label generated.
III. Control & Auxiliary Layers: Enhancing Disciplined Use
Beyond the signal generation logic, the script includes two original designs to enhance practicality:
Signal Frequency Controller (Cooldown Period):
Mechanism: After generating a valid signal, the system enters a user-adjustable "cooldown period" (default 5 bars). No new signals of the same type will be generated during this period.
Purpose: Forces a reduction in trading frequency, prevents signal overload during high volatility or ranging markets, encourages waiting for higher-quality, more spaced-out opportunities, and helps avoid emotional overtrading.
Visual State Tracker (Bar Coloring):
Mechanism: The system internally tracks the state of the last valid signal (buy or sell). After a buy signal, subsequent bars are tinted light blue; after a sell signal, subsequent bars are tinted light orange, until the next opposing signal appears.
Purpose: Provides the user with an intuitive visual reference for the "signal validity period" or "observation phase," helping to quickly identify which stage the market is in according to the system's logic and assisting in gauging market rhythm.
IV. Functional Purpose and Usage Method
Core Purpose: Serves as an auxiliary decision-making tool for swing trading or trend-pullback entries, suitable for timeframes of 1 hour and above. It filters for potential trade nodes that combine trend alignment, momentum, sentiment, and capital interest through multi-condition confluence.
Usage Process:
Loading: Add the script to a TradingView chart.
Observation: Watch for "BUY/SELL" labels confirmed by a "volume spike" and aligned with the trend direction.
Analysis: Never treat signals as direct trading orders. Always analyze the signal within the broader market context:
Check if the signal occurs near key support or resistance levels.
Observe the candlestick patterns (e.g., Pin Bar, Engulfing patterns) on the signal bar and its vicinity.
Assess the overall market structure on higher timeframes.
Decision & Risk Control: Only consider using the signal as an entry reference if it aligns with conclusions from your other analysis tools. Any trade must have a clearly defined stop-loss level set in advance and proper position sizing/risk management.
V. Important Disclaimer
This script is a technical analysis辅助 tool. Its signals are calculated based on historical data and mathematical formulas. Financial markets carry inherent risks, and past performance is in no way indicative of future results. Users must understand that all trading decisions carry the possibility of loss. The developer assumes no responsibility for any trading activities conducted by users based on this script or their outcomes. Please use it prudently under a full understanding of its logic and associated risks.
Smart Trader, Episode 04, by Ata Sabanci, Candles and Z ScoresSmart Trader, Episode 04
Candles and Z-Scores: A Statistical Approach to Market Analysis
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OVERVIEW
This indicator applies Z-Score statistical analysis to measure how unusual current market conditions are compared to historical norms. It simultaneously analyzes five key metrics: Price, Total Volume, Buy Volume, Sell Volume, and Delta (Buy minus Sell) . The system detects 60 academically-researched market scenarios and provides visual feedback through Z-Lines (support/resistance levels), Event Markers, Trend Channels, and a comprehensive Dashboard.
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CORE CONCEPT: WHY Z-SCORE?
A Z-Score measures how many standard deviations a value is from its mean. In financial markets, extreme Z-Scores indicate statistically rare events that often precede significant price movements.
Mathematical Formula:
Z = (Current Value - Mean) / Standard Deviation
Interpretation:
• Z ≥ +2.0: Extremely high (occurs approximately 2.5% of the time)
• Z ≥ +1.0: Above average
• Z ≈ 0: Normal (near the mean)
• Z ≤ -1.0: Below average
• Z ≤ -2.0: Extremely low (occurs approximately 2.5% of the time)
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ACADEMIC FOUNDATION
This indicator is inspired by / grounded in market microstructure literature (abbreviated citations in-script) from market microstructure literature:
• Price-Volume Relationship - Karpoff (1987), Journal of Financial and Quantitative Analysis, Cambridge
Volume is positively correlated with price change magnitude
• Order Flow Imbalance - Cont, Kukanov, Stoikov (2014), Journal of Financial Econometrics
Order imbalance drives price more reliably than raw volume
• Informed Trading (PIN Model) - Easley, Kiefer, O'Hara, Paperman (1996), Journal of Finance
Buy/Sell imbalance reveals informed trader activity
• Mixture of Distributions - Tauchen & Pitts (1983), Clark (1973)
Volume clusters with volatility regimes
• Volume Predictability - Gervais, Kaniel, Mingelgrin (2001)
Volume shocks predict future returns
• Liquidity & Order Imbalance - Chordia, Roll, Subrahmanyam (2002)
Order imbalance affects short-term returns
• Volume-Return Dynamics - Llorente, Michaely, Saar, Wang (2002)
Speculation vs. risk-sharing patterns
• Reversal vs. Continuation - Campbell, Grossman, Wang (MIT)
High volume predicts lower autocorrelation
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VOLUME ENGINE
The indicator offers two methods for decomposing total volume into Buy and Sell components:
Method 1: Geometry (Approximation)
Uses candle structure to estimate buying and selling pressure:
Buy Volume = Total Volume × (Close - Low) / (High - Low)
Sell Volume = Total Volume × (High - Close) / (High - Low)
• Works on all instruments without additional data requirements
• Fast calculation
• Less precise than intrabar method
Method 2: Intrabar (Precise)
Uses Lower Timeframe (LTF) tick/second data to aggregate actual up-ticks versus down-ticks:
• More accurate volume decomposition
• Requires LTF data availability
• Configurable LTF: 1T (tick), 1S, 15S, 1M
Delta Calculation:
Delta = Buy Volume - Sell Volume
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Z-SCORE SYSTEM
The system calculates Z-Scores for five metrics simultaneously, using a configurable lookback period (default: 20 bars):
• Zp (Price Z-Score): Measures price deviation from its mean
• Zv (Volume Z-Score): Measures total volume deviation
• Zbuy (Buy Volume Z-Score): Measures buying pressure deviation
• Zsell (Sell Volume Z-Score): Measures selling pressure deviation
• ZΔ (Delta Z-Score): Measures order flow imbalance deviation
Threshold Constants:
• ZH (Z High) = 2.0: Extreme threshold
• ZM (Z Medium) = 1.0: Moderate threshold
• Z0 (Z Zero) = 0.5: Near-zero threshold
Group System:
The analysis window is divided into groups (default: 5 groups × 20 bars = 100 bar total window). Group numbers (1, 2, 3...) are displayed above candles when enabled, helping identify the relative age of detected levels.
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Z-LINES (SUPPORT/RESISTANCE LEVELS)
When any metric reaches an extreme Z-Score, the system marks that price level as a significant support or resistance zone.
Detection Logic:
• Upper Z-Line: Drawn from the HIGH when Z ≥ upper threshold (default +2.0)
• Lower Z-Line: Drawn from the LOW when Z ≤ lower threshold (default -2.0)
Multi-Metric Detection:
Z-Lines can be triggered by any of the five metrics (Price, Volume, Buy, Sell, Delta). When multiple metrics trigger at similar price levels, they are clustered together into a single combined label showing all contributing metrics.
Persistence:
Z-Lines persist for the entire analysis window (Period × Groups bars) and are NOT removed when price touches them. This allows traders to see historical support/resistance levels that may still be relevant.
Anti-Overlap System:
Labels are automatically repositioned to prevent overlap. The "Label Min Gap (%)" setting controls minimum vertical separation between ALL labels (both upper and lower), ensuring readability even when multiple levels cluster together.
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EVENT DETECTION ENGINE (60 SCENARIOS)
The system analyzes 60 distinct market scenarios based on Z-Score combinations. Each scenario is derived from academic research and assigned a confidence score based on signal strength and alignment.
Notation:
• Zp = Price Z-Score
• Zv = Total Volume Z-Score
• Zbuy = Buy Volume Z-Score
• Zsell = Sell Volume Z-Score
• ZΔ = Delta Z-Score
• dirP = Price direction (+1 if Zp > 0.5, -1 if Zp < -0.5, else 0)
• = Previous bar value
• ZH = 2.0 (High threshold)
• ZM = 1.0 (Medium threshold)
• Z0 = 0.5 (Zero threshold)
─────────────────────────────────────────────────────────────
CATEGORY A: PRICE-VOLUME (Events 1-10)
Based on: Karpoff (1987), Tauchen-Pitts (1983), Clark (1973)
─────────────────────────────────────────────────────────────
Event 1: Breakout Confirmed
|Zp| ≥ ZH AND Zv ≥ ZH AND sign(ZΔ) = dirP AND dirP ≠ 0
Direction: Bullish/Bearish (follows price direction)
Event 2: Trend Strength Confirmed
|Zp| ≥ ZH AND Zv ≥ ZH
Direction: Follows price direction
Event 3: Fragile Move
|Zp| ≥ ZH AND Zv ≤ -ZM
Direction: Warning (price move without volume support)
Event 4: Weak Rally
Zp ≥ ZH AND Zv ≤ -ZH
Direction: Warning (price up without volume)
Event 5: Weak Selloff
Zp ≤ -ZH AND Zv ≤ -ZH
Direction: Warning (price down without volume)
Event 6: Momentum Build
ZM ≤ |Zp| < ZH AND Zv ≥ ZH
Direction: Follows price direction
Event 7: Churn
|Zp| ≤ Z0 AND Zv ≥ ZH
Direction: Neutral (high volume, low price movement)
Event 8: Quiet Compression
|Zp| ≤ Z0 AND Zv ≤ -ZH
Direction: Neutral (low volume, low price movement)
Event 9: High Volume Regime
Zv ≥ ZH
Direction: Neutral
Event 10: Low Volume Regime
Zv ≤ -ZH
Direction: Neutral
─────────────────────────────────────────────────────────────
CATEGORY B: ORDER-FLOW / DELTA (Events 11-16)
Based on: Cont, Kukanov, Stoikov (2014), Easley, Kiefer, O'Hara, Paperman (1996)
─────────────────────────────────────────────────────────────
Event 11: Imbalance Drives Price
|ZΔ| ≥ ZH AND sign(ZΔ) = dirP AND dirP ≠ 0
Direction: Follows price direction (dirP), with delta alignment required
Event 12: Divergence Top
Zp ≥ ZH AND ZΔ ≤ -ZH
Direction: Warning (distribution at top)
Event 13: Divergence Bottom
Zp ≤ -ZH AND ZΔ ≥ ZH
Direction: Warning (accumulation at bottom)
Event 14: Absorption Positive
|Zp| ≤ Z0 AND Zv ≥ ZH AND ZΔ ≥ ZH
Direction: Bullish (buy absorption, support forming)
Event 15: Absorption Negative
|Zp| ≤ Z0 AND Zv ≥ ZH AND ZΔ ≤ -ZH
Direction: Bearish (sell absorption, resistance forming)
Event 16: Depth Wall
Zv ≥ ZH AND |ZΔ| ≥ ZH AND |Zp| ≤ Z0
Direction: Neutral (market depth absorbing)
─────────────────────────────────────────────────────────────
CATEGORY C: BUY VS SELL (Events 17-23)
Based on: Easley, Kiefer, O'Hara, Paperman (1996), Chordia, Roll, Subrahmanyam (2002)
─────────────────────────────────────────────────────────────
Event 17: Aggressive Buy Dominance
Zbuy ≥ ZH AND ZΔ ≥ ZH AND Zsell ≤ -ZM
Direction: Bullish
Event 18: Aggressive Sell Dominance
Zsell ≥ ZH AND ZΔ ≤ -ZH AND Zbuy ≤ -ZM
Direction: Bearish
Event 19: Two-Sided Battle
Zbuy ≥ ZH AND Zsell ≥ ZH AND |ZΔ| ≤ Z0
Direction: Neutral (buyers and sellers equally strong)
Event 20: Battle with Buy Edge
Zbuy ≥ ZH AND Zsell ≥ ZH AND ZM ≤ ZΔ < ZH
Direction: Bullish
Event 21: Battle with Sell Edge
Zbuy ≥ ZH AND Zsell ≥ ZH AND -ZH < ZΔ ≤ -ZM
Direction: Bearish
Event 22: Hidden Accumulation
Zbuy ≥ ZH AND |Zp| ≤ Z0 AND Zv ≥ ZH
Direction: Bullish (buy shock without price movement)
Event 23: Hidden Distribution
Zsell ≥ ZH AND |Zp| ≤ Z0 AND Zv ≥ ZH
Direction: Bearish (sell shock without price movement)
─────────────────────────────────────────────────────────────
CATEGORY D: PREDICTABILITY (Events 24-26)
Based on: Gervais, Kaniel, Mingelgrin (2001), Karpoff (1987)
─────────────────────────────────────────────────────────────
Event 24: Volume Shock Positive Drift
Zv ≥ ZH AND |Zp| ≤ ZM
Direction: Follows price direction
Event 25: Volume Shock Negative Drift
Zv ≤ -ZH AND |Zp| ≤ ZM
Direction: Opposite to price direction
Event 26: Abnormal Volume Info Arrival
Zv ≥ ZH
Direction: Neutral
─────────────────────────────────────────────────────────────
CATEGORY E: REVERSAL VS CONTINUATION (Events 27-30)
Based on: Campbell, Grossman, Wang (MIT), Llorente, Michaely, Saar, Wang (2002)
─────────────────────────────────────────────────────────────
Event 27: High Vol Reversal Risk
Zv ≥ ZH
Direction: Warning (high volume implies lower positive autocorrelation)
Event 28: Low Vol Continuation Risk
Zv ≤ -ZH
Direction: Follows price direction (trend likely continues)
Event 29: Speculation Continuation
Zv ≥ ZH AND |ZΔ| ≥ ZM AND sign(ZΔ) = dirP AND dirP ≠ 0
Direction: Follows price direction
Event 30: Risk Sharing Reversal
Zv ≥ ZH AND |ZΔ| ≤ Z0
Direction: Warning (potential reversal)
─────────────────────────────────────────────────────────────
CATEGORY F: IMBALANCE LAG (Events 31-33)
Based on: Chordia, Roll, Subrahmanyam (2002)
─────────────────────────────────────────────────────────────
Event 31: Persistent Imbalance Push
|ZΔ| ≥ ZM AND |ZΔ | ≥ ZM AND sign(ZΔ) = sign(ZΔ )
Direction: Follows delta direction (persistent pressure)
Event 32: Imbalance Pressure Decay
(ZΔ ≥ ZM AND ZΔ ≤ -ZM) OR (ZΔ ≤ -ZM AND ZΔ ≥ ZM)
Direction: Warning (imbalance sign flip)
Event 33: Intraday Imbalance Predicts
|ZΔ| ≥ ZM
Direction: Follows delta direction
─────────────────────────────────────────────────────────────
CATEGORY G: SUPPORT/RESISTANCE (Events 34-36)
Based on: Peskir (Manchester)
─────────────────────────────────────────────────────────────
Event 34: SR Barrier Event
|Zp| ≤ Z0 AND Zv ≥ ZH
Direction: Neutral (price stalls with high volume)
Event 35: Volume Backed SR Level
|Zp| ≤ Z0 AND Zv ≥ ZH AND |ZΔ| ≥ ZM
Direction: Follows delta direction
Event 36: Volume Poor SR Level
|Zp| ≤ Z0 AND Zv ≤ -ZM
Direction: Warning (weak S/R without volume)
─────────────────────────────────────────────────────────────
CATEGORY H: EXTENDED ANALYSIS (Events 37-50)
Based on: Extended market microstructure analysis
─────────────────────────────────────────────────────────────
Event 37: Climax Buy
Zbuy ≥ ZH AND Zp ≥ ZH AND Zv ≥ ZH
Direction: Warning (extreme buying exhaustion, potential top)
Event 38: Climax Sell
Zsell ≥ ZH AND Zp ≤ -ZH AND Zv ≥ ZH
Direction: Warning (extreme selling exhaustion, potential bottom)
Event 39: Stealth Accumulation
Zbuy ≥ ZM AND |Zp| ≤ Z0 AND Zv ≤ Z0
Direction: Bullish (quiet buying)
Event 40: Stealth Distribution
Zsell ≥ ZM AND |Zp| ≤ Z0 AND Zv ≤ Z0
Direction: Bearish (quiet selling)
Event 41: Volume Divergence Bull
Zp ≤ -ZM AND Zv ≤ -ZM
Direction: Bullish (price down but volume declining)
Event 42: Volume Divergence Bear
Zp ≥ ZM AND Zv ≤ -ZM
Direction: Bearish (price up but volume declining)
Event 43: Delta Price Alignment
|Zp| ≥ ZM AND |ZΔ| ≥ ZM AND sign(Zp) = sign(ZΔ)
Direction: Follows price direction (strong trend confirmation)
Event 44: Extreme Compression
|Zp| ≤ Z0 AND Zv ≤ -ZH
Direction: Neutral (very low volatility)
Event 45: Volatility Expansion
|Zp| ≥ ZH AND Zv ≥ ZH
Direction: Follows price direction (breakout from compression)
Event 46: Buy Exhaustion
Zbuy ≥ ZH AND Zp ≤ Z0
Direction: Warning (high buy but price fails)
Event 47: Sell Exhaustion
Zsell ≥ ZH AND Zp ≥ -Z0
Direction: Warning (high sell but price holds)
Event 48: Trend Acceleration
|Zp| ≥ ZM AND |Zp| > |Zp | AND Zv ≥ ZM
Direction: Follows price direction (increasing momentum)
Event 49: Trend Deceleration
|Zp| ≥ ZM AND |Zp| < |Zp | AND sign(Zp) = sign(Zp )
Direction: Warning (decreasing momentum)
Event 50: Multi Divergence
(Zp ≥ ZM AND ZΔ ≤ -ZM) OR (Zp ≤ -ZM AND ZΔ ≥ ZM) + |Zp| ≥ ZM AND Zv ≤ -ZM
Direction: Warning (multiple divergence signals)
─────────────────────────────────────────────────────────────
CATEGORY I: TREND-INTEGRATED (Events 51-60)
Based on: Combined price-volume-delta trend analysis
─────────────────────────────────────────────────────────────
Event 51: Trend Breakout Confirmed
|Zp| ≥ ZH AND Zv ≥ ZH AND |ZΔ| ≥ ZM AND sign(ZΔ) = dirP AND dirP ≠ 0
Direction: Follows price direction
Event 52: Trend Support Test
Zp ≥ ZM AND Z0 ≤ Zp < ZM AND ZΔ ≥ Z0
Direction: Bullish (pullback in uptrend)
Event 53: Trend Resistance Test
Zp ≤ -ZM AND -ZM < Zp ≤ -Z0 AND ZΔ ≤ -Z0
Direction: Bearish (rally in downtrend)
Event 54: Trend Reversal Signal
sign(Zp) ≠ sign(Zp ) AND |Zp| ≥ ZM AND |Zp | ≥ ZM
Direction: Follows new price direction (momentum flip)
Event 55: Channel Absorption
|Zp| ≤ Z0 AND Zv ≥ ZH
Direction: Neutral (range-bound with volume)
Event 56: Trend Continuation Volume
|Zp| ≥ ZM AND Zv ≥ ZM AND sign(ZΔ) = dirP AND dirP ≠ 0
Direction: Follows price direction (healthy trend with volume)
Event 57: Trend Exhaustion
|Zp| ≥ ZM AND Zv ≤ -ZM AND |Zp| < |Zp |
Direction: Warning (trend losing steam)
Event 58: Range Breakout Pending
|Zp| ≤ Z0 AND Zv ≤ -ZH AND |ZΔ| ≥ ZM
Direction: Follows delta direction (compression with imbalance)
Event 59: Trend Quality High
|Zp| ≥ ZM AND sign(ZΔ) = dirP AND Zv ≥ Z0 AND dirP ≠ 0
Direction: Follows price direction (strong aligned signals)
Event 60: Trend Quality Low
|Zp| ≥ ZM AND sign(ZΔ) ≠ dirP AND dirP ≠ 0
Direction: Warning (conflicting signals)
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TREND CHANNEL SYSTEM
The trend channel system is adapted from Smart Trader Episode 03 to provide consistent visual context for price action analysis.
How It Works:
• Divides the chart into blocks based on Z-Score groups
• Calculates OHLC (Open, High, Low, Close) for each block
• Detects Higher Highs/Higher Lows (uptrend) or Lower Highs/Lower Lows (downtrend) patterns
• Draws channel lines connecting block extremes
• Classifies by angle: steep angles indicate trends, flat angles indicate ranges
Channel Classifications:
• UPTREND: Higher highs and higher lows detected
• DOWNTREND: Lower highs and lower lows detected
• RANGE: Channel angle below threshold (default 10 degrees)
Label Information:
• Trend direction (UPTREND/DOWNTREND/RANGE)
• Channel boundary prices
• Distance from current price (absolute and percentage)
• Channel angle in degrees
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DASHBOARD
The dashboard provides a comprehensive real-time view of all Z-Score metrics and detected events.
Dashboard Sections:
1. Header Row
Displays indicator name and current calculation mode (CLOSED or LIVE).
2. Metric Rows (Price, Total Volume, Buy Volume, Sell Volume, Delta)
Each row displays:
• Value: Current metric value
• Z: Calculated Z-Score
• Visual: Graphical Z-bar showing position relative to mean
• Status: Interpretation (Extreme High, Above Avg, Normal, Below Avg, Extreme Low)
• Upper: Oldest active upper Z-Line in window (Label Mirror)
• Lower: Oldest active lower Z-Line in window (Label Mirror)
3. Event Detection Section
• Count of triggered events out of 60 total scenarios
• Market Bias: Bull/Bear/Neutral percentage with visual bar
• Strongest Event: Highest confidence event currently triggered
• #2 Event: Second highest confidence event
4. Footer
Shows engine type (Geometry/Intrabar), Z-Score period, calculation basis, and number of valid bars.
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ALERT SYSTEM
The indicator uses native alertcondition() functions, keeping the settings menu clean while providing comprehensive alert options in TradingView's alert dialog.
Available Alert Categories:
• Master Alerts: Any event, Any bullish, Any bearish, Any warning
• Single Event Alerts: Individual alerts for key events (Breakout, Climax, Divergence, etc.)
• Category Alerts: Alerts by event category (Price-Volume, Order-Flow, etc.)
• Confluence Alerts: 2+, 3+, 4+, or 5+ aligned events
• Bias Shift Alerts: 10%, 20%, or 30% shifts in market bias
• High Confidence Alerts: Events with 60%+, 70%+, 80%+, or 90%+ confidence
• Divergence Alerts: Price vs Volume or Price vs Delta divergences
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DATA ACCURACY AND LIMITATIONS
This indicator is 100% VOLUME-BASED and requires Lower Timeframe (LTF) intrabar data for accurate calculations when using the Intrabar method.
Data Accuracy Levels:
• 1T (Tick): Most accurate, real volume distribution per tick
• 1S (1 Second): Reasonably accurate approximation
• 15S (15 Seconds): Good approximation, longer historical data available
• 1M (1 Minute): Rough approximation, maximum historical data range
Backtest and Replay Limitations:
• Replay mode results may differ from live trading due to data availability
• For longer backtest periods, use higher LTF settings (15S or 1M)
• Not all symbols/exchanges support tick-level data
• Crypto and Forex typically have better LTF data availability than stocks
A Note on Data Access:
Higher TradingView plans provide access to more historical intrabar data, which directly impacts the accuracy of volume-based calculations. More precise volume data leads to more reliable calculations.
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LANGUAGE SUPPORT (TRI-LINGUAL UI)
This indicator includes a built-in language switch with three interface languages :
• English (EN)
• Türkçe (TR)
• 한국어 (KO)
The selected language updates key interface text such as the Dashboard headers/rows , tooltips , and the Event Engine outputs (event names, category names, and direction labels). Turkish diacritics and Korean Hangul are supported for clean, native readability.
Why only three languages?
Each additional language requires duplicating strings throughout the code, which increases script size/memory usage and compilation time. To keep the indicator optimized and responsive, language options are intentionally limited to three.
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⚠️ DISCLAIMER
FOR EDUCATIONAL AND RESEARCH PURPOSES ONLY
This indicator is designed as an educational and research tool based on academic market microstructure literature. It is NOT financial advice and should NOT be used as the sole basis for trading decisions.
Important Notices:
• Past performance does not guarantee future results
• All trading involves risk of substantial loss
• The indicator's signals are statistical probabilities, not certainties
• Always conduct your own research and consult qualified financial advisors
• The creator assumes no responsibility for trading losses
Research Sources:
This indicator is built upon peer-reviewed academic research from:
• Journal of Financial and Quantitative Analysis (Cambridge University Press)
• Journal of Finance
• Journal of Financial Econometrics
• MIT Working Papers
• arXiv Financial Mathematics
TrinityCoreLibrary "TrinityCore"
TRINITY STRATEGY CORE v1.10 (Golden Master)
calc_target_weights(_stk_c, _vol_tgt)
Parameters:
_stk_c (float)
_vol_tgt (simple float)
TrinityWeights
Fields:
stock (series float)
s1 (series float)
s2 (series float)
s3 (series float)
cash (series float)
XAUUSD: Ultimate Sniper v6.0 [Order Flow & Macro]This indicator is a comprehensive trading system designed specifically for XAUUSD (Gold). It moves away from lagging indicators by combining real-time Macro-Economic sentiment, Regression Analysis, and Institutional Order Flow logic into a single professional interface.
### Core Strategy & Features: 1. Macro Correlation Filter: Gold has a strong inverse correlation with the USD (DXY) and Treasury Yields (US10Y). This script monitors them in the background. If DXY/US10Y are Bullish, Gold Buy signals are filtered out to prevent trading against the trend. 2. Linear Regression Channel: Defines the "Fair Value" of price. We only look for reversal trades when price hits the extreme Upper or Lower bands. 3. Order Flow Pressure (New): Analyzes the internal structure of each candle (Wick vs Body). A signal is only confirmed if the "Buying Pressure" or "Selling Pressure" within the candle supports the move (e.g. >50%). 4. RSI Divergence: Automatically spots Bullish and Bearish divergences to identify momentum exhaustion.
### ⚙️ Recommended Settings / Best Practices To get the best results, adjust the settings based on your trading style:
🏎️ SCALPING (1min - 5min Charts) * Goal: Quick entries, smaller targets, higher frequency. * DXY/US10Y Timeframe: Set to "15" or "30" (Reacts faster to macro changes). * Regression Length: 50 or 80 (Adapts to short-term trends). * RSI Length: 9 or 14.
🛡️ INTRADAY (15min - 1h Charts) - * Goal: Balanced trading, capturing the daily range. * DXY/US10Y Timeframe: Set to "60" (1 Hour). * Regression Length: 100 (Standard setting). * RSI Length: 14.
🦅 SWING TRADING (4h - Daily Charts) * Goal: Catching major trend reversals. * DXY/US10Y Timeframe: Set to "240" (4 Hours) or "D" (Daily). * Regression Length: 200 (Long-term trend baseline). * Channel Width: Increase to 2.5 or 3.0.
### How to Trade: - BUY Signal: Valid when the Dashboard shows "BEARISH" DXY/US10Y and the Live Pressure is "BUYERS". - SELL Signal: Valid when the Dashboard shows "BULLISH" DXY/US10Y and the Live Pressure is "SELLERS". - Risk Management: The script automatically calculates ATR-based Stop Loss (SL) and Take Profit (TP) levels.
Sonic R 89 - NY SL Custom Fixed//@version=5
indicator("Sonic R 89 - NY SL Custom Fixed", overlay=true, max_lines_count=500)
// --- 0. TÙY CHỈNH THÔNG SỐ ---
group_session = "Cài đặt Phiên Giao Dịch (Giờ New York)"
use_session = input.bool(true, "Chỉ giao dịch theo khung giờ", group=group_session)
session_time = input.session("0800-1200", "Khung giờ NY 1", group=group_session)
session_time2 = input.session("1300-1700", "Khung giờ NY 2", group=group_session)
max_trades_per_session = input.int(1, "Số lệnh tối đa/mỗi khung giờ", minval=1, group=group_session)
group_risk = "Quản lý Rủi ro (Dashboard)"
risk_usd = input.float(100.0, "Số tiền rủi ro mỗi lệnh ($)", minval=1.0, group=group_risk)
group_sl_custom = "Cấu hình Stop Loss (SL)"
sl_mode = input.string("Dragon", "Chế độ SL", options= , group=group_sl_custom)
lookback_x = input.int(5, "Số nến (X) cho Swing SL", minval=1, group=group_sl_custom)
group_htf = "Lọc Đa khung thời gian (MTF)"
htf_res = input.timeframe("30", "Chọn khung HTF", group=group_htf)
group_sonic = "Cấu hình Sonic R"
vol_mult = input.float(1.5, "Đột biến Volume", minval=1.0)
max_waves = input.int(4, "Ưu tiên n nhịp đầu", minval=1)
trade_cd = input.int(5, "Khoảng cách lệnh (nến)", minval=1)
group_tp = "Quản lý SL/TP & Dòng kẻ"
rr_tp1 = input.float(1.0, "TP1 (RR)", step=0.1)
rr_tp2 = input.float(2.0, "TP2 (RR)", step=0.1)
rr_tp3 = input.float(3.0, "TP3 (RR)", step=0.1)
rr_tp4 = input.float(4.0, "TP4 (RR)", step=0.1)
line_len = input.int(15, "Chiều dài dòng kẻ", minval=1)
// --- 1. KIỂM TRA PHIÊN & HTF ---
is_in_sess1 = not na(time(timeframe.period, session_time, "America/New_York"))
is_in_sess2 = not na(time(timeframe.period, session_time2, "America/New_York"))
is_in_session = use_session ? (is_in_sess1 or is_in_sess2) : true
var int trades_count = 0
is_new_session = is_in_session and not is_in_session
if is_new_session
trades_count := 0
htf_open = request.security(syminfo.tickerid, htf_res, open, lookahead=barmerge.lookahead_on)
htf_close = request.security(syminfo.tickerid, htf_res, close, lookahead=barmerge.lookahead_on)
is_htf_trend = htf_close >= htf_open ? 1 : -1
// --- 2. TÍNH TOÁN CHỈ BÁO ---
ema89 = ta.ema(close, 89)
ema34H = ta.ema(high, 34)
ema34L = ta.ema(low, 34)
atr = ta.atr(14)
avgVol = ta.sma(volume, 20)
slope89 = (ema89 - ema89 ) / atr
hasSlope = math.abs(slope89) > 0.12
isSqueezed = math.abs(ta.ema(close, 34) - ema89) < (atr * 0.5)
var int waveCount = 0
if not hasSlope
waveCount := 0
newWave = hasSlope and ((low <= ema34H and close > ema34H) or (high >= ema34L and close < ema34L))
if newWave and not newWave
waveCount := waveCount + 1
// --- 3. LOGIC VÀO LỆNH ---
isMarubozu = math.abs(close - open) / (high - low) > 0.8
highVol = volume > avgVol * vol_mult
buyCondition = is_in_session and (trades_count < max_trades_per_session) and waveCount <= max_waves and is_htf_trend == 1 and
(isMarubozu or highVol) and close > ema34H and low >= ema89 and
(slope89 > 0.1 or isSqueezed ) and close > open
sellCondition = is_in_session and (trades_count < max_trades_per_session) and waveCount <= max_waves and is_htf_trend == -1 and
(isMarubozu or highVol) and close < ema34L and high <= ema89 and
(slope89 < -0.1 or isSqueezed ) and close < open
// --- 4. QUẢN LÝ LỆNH ---
var float last_entry = na
var float last_sl = na
var float last_tp1 = na
var float last_tp2 = na
var float last_tp3 = na
var float last_tp4 = na
var string last_type = "NONE"
var int lastBar = 0
trigger_buy = buyCondition and (bar_index - lastBar > trade_cd)
trigger_sell = sellCondition and (bar_index - lastBar > trade_cd)
// --- 5. TÍNH TOÁN SL & LOT SIZE ---
float contract_size = 1.0
if str.contains(syminfo.ticker, "XAU") or str.contains(syminfo.ticker, "GOLD")
contract_size := 100
// Logic tính SL linh hoạt
float swing_low = ta.lowest(low, lookback_x)
float swing_high = ta.highest(high, lookback_x)
float temp_sl_calc = na
if trigger_buy
temp_sl_calc := (sl_mode == "Dragon") ? ema34L : swing_low
if trigger_sell
temp_sl_calc := (sl_mode == "Dragon") ? ema34H : swing_high
float sl_dist_calc = math.abs(close - temp_sl_calc)
float calc_lots = (sl_dist_calc > 0) ? (risk_usd / (sl_dist_calc * contract_size)) : 0
if (trigger_buy or trigger_sell)
trades_count := trades_count + 1
lastBar := bar_index
last_type := trigger_buy ? "BUY" : "SELL"
last_entry := close
last_sl := temp_sl_calc
float riskAmt = math.abs(last_entry - last_sl)
last_tp1 := trigger_buy ? last_entry + (riskAmt * rr_tp1) : last_entry - (riskAmt * rr_tp1)
last_tp2 := trigger_buy ? last_entry + (riskAmt * rr_tp2) : last_entry - (riskAmt * rr_tp2)
last_tp3 := trigger_buy ? last_entry + (riskAmt * rr_tp3) : last_entry - (riskAmt * rr_tp3)
last_tp4 := trigger_buy ? last_entry + (riskAmt * rr_tp4) : last_entry - (riskAmt * rr_tp4)
// Vẽ dòng kẻ
line.new(bar_index, last_entry, bar_index + line_len, last_entry, color=color.new(color.gray, 50), width=2)
line.new(bar_index, last_sl, bar_index + line_len, last_sl, color=color.red, width=2, style=line.style_dashed)
line.new(bar_index, last_tp1, bar_index + line_len, last_tp1, color=color.green, width=1)
line.new(bar_index, last_tp2, bar_index + line_len, last_tp2, color=color.lime, width=1)
line.new(bar_index, last_tp3, bar_index + line_len, last_tp3, color=color.aqua, width=1)
line.new(bar_index, last_tp4, bar_index + line_len, last_tp4, color=color.blue, width=2)
// KÍCH HOẠT ALERT()
string alert_msg = (trigger_buy ? "BUY " : "SELL ") + syminfo.ticker + " at " + str.tostring(close) + " | SL Mode: " + sl_mode + " | Lot: " + str.tostring(calc_lots, "#.##") + " | SL: " + str.tostring(last_sl, format.mintick)
alert(alert_msg, alert.freq_once_per_bar_close)
// --- 6. CẢNH BÁO CỐ ĐỊNH ---
alertcondition(trigger_buy, title="Sonic R BUY Alert", message="Sonic R BUY Signal Detected")
alertcondition(trigger_sell, title="Sonic R SELL Alert", message="Sonic R SELL Signal Detected")
// --- 7. DASHBOARD & PLOT ---
var table sonic_table = table.new(position.top_right, 2, 10, bgcolor=color.new(color.black, 70), border_width=1, border_color=color.gray)
if barstate.islast
table.cell(sonic_table, 0, 0, "NY SESSION", text_color=color.white), table.cell(sonic_table, 1, 0, last_type, text_color=(last_type == "BUY" ? color.lime : color.red))
table.cell(sonic_table, 0, 1, "SL Mode:", text_color=color.white), table.cell(sonic_table, 1, 1, sl_mode, text_color=color.orange)
table.cell(sonic_table, 0, 2, "Trades this Sess:", text_color=color.white), table.cell(sonic_table, 1, 2, str.tostring(trades_count) + "/" + str.tostring(max_trades_per_session), text_color=color.yellow)
table.cell(sonic_table, 0, 3, "LOT SIZE:", text_color=color.orange), table.cell(sonic_table, 1, 3, str.tostring(calc_lots, "#.##"), text_color=color.orange)
table.cell(sonic_table, 0, 4, "Entry:", text_color=color.white), table.cell(sonic_table, 1, 4, str.tostring(last_entry, format.mintick), text_color=color.yellow)
table.cell(sonic_table, 0, 5, "SL:", text_color=color.white), table.cell(sonic_table, 1, 5, str.tostring(last_sl, format.mintick), text_color=color.red)
table.cell(sonic_table, 0, 6, "TP1:", text_color=color.gray), table.cell(sonic_table, 1, 6, str.tostring(last_tp1, format.mintick), text_color=color.green)
table.cell(sonic_table, 0, 7, "TP2:", text_color=color.gray), table.cell(sonic_table, 1, 7, str.tostring(last_tp2, format.mintick), text_color=color.lime)
table.cell(sonic_table, 0, 8, "TP3:", text_color=color.gray), table.cell(sonic_table, 1, 8, str.tostring(last_tp3, format.mintick), text_color=color.aqua)
table.cell(sonic_table, 0, 9, "TP4:", text_color=color.gray), table.cell(sonic_table, 1, 9, str.tostring(last_tp4, format.mintick), text_color=color.blue)
plot(ema89, color=slope89 > 0.1 ? color.lime : slope89 < -0.1 ? color.red : color.gray, linewidth=2)
p_high = plot(ema34H, color=color.new(color.blue, 80))
p_low = plot(ema34L, color=color.new(color.blue, 80))
fill(p_high, p_low, color=color.new(color.blue, 96))
plotshape(trigger_buy, "BUY", shape.triangleup, location.belowbar, color=color.green, size=size.small)
plotshape(trigger_sell, "SELL", shape.triangledown, location.abovebar, color=color.red, size=size.small)
bgcolor(isSqueezed ? color.new(color.yellow, 92) : na)
bgcolor(not is_in_session ? color.new(color.gray, 96) : na)
GLOBAL 3H SCALPING (BTC FILTER)글로벌 멀티 세션 & BTC 필터 고강도 스캘핑 알고리즘 기술 보고서
파인 스크립트 v5의 기술적 패러다임과 알고리즘 트레이딩의 진화
금융 시장의 디지털화가 가속화됨에 따라 개인 트레이더와 기관 투자자 모두 정교한 알고리즘을 활용하여 시장의 비효율성을 포착하려는 시도를 지속하고 있다. 파인 스크립트 v5는 네임스페이스 기반 아키텍처를 도입하여 코드의 가독성과 실행 효율성을 극대화하였습니다. 본 보고서에서는 기존 코드의 구문 오류를 수정하고, 아시아·유럽·미국 세션 및 비트코인(BTC) 커플링 필터를 포함한 최적화된 스크립트를 제공합니다.
🚀 GLOBAL 3H SCALPING (BTC FILTER) 전체 코드
이 코드는 모든 세션(아시아/유럽/미국)의 3시간 골든 아워를 포착하며, 비트코인의 추세가 알트코인과 일치할 때만 신호를 생성하는 '커플링 필터'가 내장된 최종 버전입니다.
Pine Script
//@version=5
indicator("GLOBAL 3H SCALPING (BTC FILTERED)", overlay=true, max_lines_count=300, max_labels_count=100)
//────────────────────
// ⏰ 세션 정의 (한국 시간 KST 기준)
//────────────────────
string tz = "Asia/Seoul"
string asiaSess = "0900-1200"
string euSess = "1600-1900"
string usSess = "2300-0200"
f_getFocus(sessionStr) =>
inSess = not na(time(timeframe.period, sessionStr, tz))
start = inSess and not nz(inSess , false)
float tfInSec = timeframe.in_seconds()
int bars3H = math.max(1, math.round(10800 / tfInSec))
int barsSinceStart = ta.barssince(start)
bool focus = inSess and (not na(barsSinceStart) and barsSinceStart < bars3H)
focus
bool asiaFocus = f_getFocus(asiaSess)
bool euFocus = f_getFocus(euSess)
bool usFocus = f_getFocus(usSess)
bool totalFocus = asiaFocus or euFocus or usFocus
bgcolor(asiaFocus? color.new(color.green, 92) : na, title="Asia Focus")
bgcolor(euFocus? color.new(color.blue, 92) : na, title="EU Focus")
bgcolor(usFocus? color.new(color.red, 92) : na, title="US Focus")
//────────────────────
// 🟠 BTC 커플링 필터 (BTC Trend Filter)
//────────────────────
// 비트코인의 추세를 실시간으로 가져와 알트코인 매매의 안전장치로 활용함
float btcPrice = request.security("BINANCE:BTCUSDT", timeframe.period, close)
float btcEMA = request.security("BINANCE:BTCUSDT", timeframe.period, ta.ema(close, 200))
bool btcBullish = btcPrice > btcEMA
bool btcBearish = btcPrice < btcEMA
//────────────────────
// 📈 기술적 지표 (Altcoin 자체 지표)
//────────────────────
float ema200 = ta.ema(close, 200)
plot(ema200, title="EMA200", color=color.new(color.yellow, 0), linewidth=2)
float vwapVal = ta.vwap(hlc3)
plot(vwapVal, title="VWAP", color=color.new(color.aqua, 0), linewidth=2)
float volMA = ta.sma(volume, 20)
bool volOK = volume > volMA
bool longVWAP = low <= vwapVal and close > vwapVal
bool shortVWAP = high >= vwapVal and close < vwapVal
//────────────────────
// 🚀 진입 조건 (BTC 필터 통합)
//────────────────────
bool longCond = totalFocus and close > ema200 and close > vwapVal and longVWAP and volOK and btcBullish
bool shortCond = totalFocus and close < ema200 and close < vwapVal and shortVWAP and volOK and btcBearish
plotshape(longCond, title="LONG", location=location.belowbar, style=shape.triangleup, size=size.small, color=color.lime, text="LONG")
plotshape(shortCond, title="SHORT", location=location.abovebar, style=shape.triangledown, size=size.small, color=color.red, text="SHORT")
//────────────────────
// 🧠 실시간 통합 대시보드
//────────────────────
var label infoLabel = na
if barstate.islast
label.delete(infoLabel)
string sessName = asiaFocus? "ASIA" : euFocus? "EUROPE" : usFocus? "US" : "WAITING"
string labelText = "GLOBAL ALGO (BTC FILTERED) 🌍\n" +
"--------------------------\n" +
"Active Session: " + sessName + "\n" +
"BTC Trend: " + (btcBullish? "BULLISH 🟢" : "BEARISH 🔴") + "\n" +
"Alt Trend: " + (close > ema200? "BULLISH" : "BEARISH") + "\n" +
"Volume: " + (volOK? "STRONG" : "WEAK")
infoLabel := label.new(
x = bar_index,
y = high,
text = labelText,
style = label.style_label_left,
color = color.new(color.black, 20),
textcolor = color.white
)
📘 Comprehensive User Manual (EN/KR)
1. English: Multi-Session & BTC Filtered Scalping Guide
Core Philosophy
The "Golden Hours" strategy focuses on the first 3 hours of global market openings when volatility and liquidity are at their peak . By filtering altcoin signals with the Bitcoin (BTC) trend, we ensure high-probability entries aligned with the overall market momentum .
Session Schedule (Korea Standard Time - KST)
The indicator highlights three major trading windows :
Asia Focus (Green): 09:00 – 12:00 KST (Tokyo/Seoul opening).
Europe Focus (Blue): 16:00 – 19:00 KST (London opening).
US Focus (Red): 23:00 – 02:00 KST (New York opening).
Trading Rules
Long (Buy) Entry Conditions:
Zone: Price must be within one of the colored Focus Zones.
BTC Filter: BTC must be trading above its EMA 200 (Market Sentiment: Bullish) .
Alt Trend: Altcoin price must be above its own EMA 200.
Value: Price is above VWAP.
Reaction: Candle low touches or dips below VWAP, then closes above it (Pullback) .
Volume: Current volume is higher than the 20-period average.
Short (Sell) Entry Conditions:
Zone: Price must be within one of the colored Focus Zones.
BTC Filter: BTC must be trading below its EMA 200 (Market Sentiment: Bearish).
Alt Trend: Altcoin price must be below its EMA 200.
Value: Price is below VWAP.
Reaction: Candle high touches or goes above VWAP, then closes below it (Rejection).
Volume: Current volume is higher than the 20-period average.
Professional Risk Management
1% Rule: Never risk more than 1% of your total capital on a single trade .
Leverage: Use 1x–5x for beginners, and 5x–20x for advanced traders only with tight stop-losses .
Stop-Loss: Place stop-losses 0.1%–0.5% away from the entry point or at the most recent swing high/low .
[Sumit Ingole] 200-EMA SUMIT INGOLE
Indicator Name: 200 EMA Strategy Pro
Overview
The 200-period Exponential Moving Average (EMA) is widely regarded as the "Golden Line" by professional traders and institutional investors. This indicator is a powerful tool designed to identify the long-term market trend and filter out short-term market noise.
By giving more weight to recent price data than a simple moving average, this EMA reacts more fluidly to market shifts while remaining a rock-solid trend confirmation tool.
Key Features
Trend Filter: Instantly distinguish between a Bull market and a Bear market.
Price above 200 EMA: Bullish Bias
Price below 200 EMA: Bearish Bias
Dynamic Support & Resistance: Acts as a psychological floor or ceiling where major institutions often place buy or sell orders.
Institutional Benchmark: Since many hedge funds and banks track this specific level, price reactions near the 200 EMA are often highly significant.
Reduced Lag: Optimized exponential calculation ensures you stay ahead of the curve compared to traditional lagging indicators.
How to Trade with 200 EMA
Trend Confirmation: Only look for "Buy" setups when the price is trading above the 200 EMA to ensure you are trading with the primary trend.
Mean Reversion: When the price stretches too far away from the 200 EMA, it often acts like a magnet, pulling the price back toward it.
The "Death Cross" & "Golden Cross": Use this in conjunction with shorter EMAs (like the 50 EMA) to identify major trend reversals.
Exit Strategy: Can be used as a trailing stop-loss for long-term positional trades.
Best Used On:
Timeframes: Daily (1D), 4-Hour (4H), and Weekly (1W) for maximum accuracy.
Assets: Highly effective for Stocks, Forex (Major pairs), and Crypto (BTC/ETH).
Disclaimer: This tool is for educational and analytical purposes only. Trading involves risk, and it is recommended to use this indicator alongside other technical analysis tools for better confirmation.
MONSTER KHAN GOLED KILLERTHIS INDICATORE work base on many strategies and work in gold btc and us oil but best for gold and btc use m5 to m15 time frame
colors_library# ColorsLibrary - PineScript v6
A comprehensive PineScript v6 library containing **10 color themes** and utility functions for TradingView.
---
## 📦 Installation
```pinescript
import TheTradingSpiderMan/colors_library/1 as CLR
```
---
## 🎨 All Available Color Themes (10)
### Default Theme (Green/Red - Classic Trading)
| Function | Description |
| ------------------ | --------------- |
| `defaultBull()` | Green (#26A69A) |
| `defaultBear()` | Red (#EF5350) |
| `defaultNeutral()` | Grey (#787B86) |
### Monochrome Theme (White/Grey/Black)
| Function | Description |
| --------------- | -------------------- |
| `monoBull()` | White (#FFFFFF) |
| `monoBear()` | Black (#000000) |
| `monoNeutral()` | Grey (#808080) |
| `monoLight()` | Light Grey (#C0C0C0) |
| `monoDark()` | Dark Grey (#404040) |
### Vaporwave Theme (Purple/Pink, Blue/Cyan)
| Function | Description |
| ---------------- | ----------------------- |
| `vaporBull()` | Cyan (#00FFFF) |
| `vaporBear()` | Magenta (#FF00FF) |
| `vaporNeutral()` | Grey (#787B86) |
| `vaporPurple()` | Purple (#9B59B6) |
| `vaporPink()` | Hot Pink (#FF6EC7) |
| `vaporBlue()` | Electric Blue (#0080FF) |
### Neon Theme (Bright Fluorescent Colors)
| Function | Description |
| --------------- | --------------------- |
| `neonBull()` | Neon Green (#39FF14) |
| `neonBear()` | Neon Red (#FF073A) |
| `neonNeutral()` | Grey (#787B86) |
| `neonYellow()` | Neon Yellow (#FFFF00) |
| `neonOrange()` | Neon Orange (#FF6600) |
| `neonBlue()` | Neon Blue (#00BFFF) |
### Ocean Theme (Blues and Teals)
| Function | Description |
| ---------------- | ------------------- |
| `oceanBull()` | Teal (#20B2AA) |
| `oceanBear()` | Deep Blue (#1E3A5F) |
| `oceanNeutral()` | Grey (#787B86) |
| `oceanAqua()` | Aqua (#00CED1) |
| `oceanNavy()` | Navy (#000080) |
| `oceanSeafoam()` | Seafoam (#3EB489) |
### Sunset Theme (Oranges, Yellows, Reds)
| Function | Description |
| ----------------- | ----------------------- |
| `sunsetBull()` | Golden Yellow (#FFD700) |
| `sunsetBear()` | Crimson (#DC143C) |
| `sunsetNeutral()` | Grey (#787B86) |
| `sunsetOrange()` | Orange (#FF8C00) |
| `sunsetCoral()` | Coral (#FF7F50) |
| `sunsetPurple()` | Twilight (#8B008B) |
### Forest Theme (Greens and Browns)
| Function | Description |
| ----------------- | ---------------------- |
| `forestBull()` | Forest Green (#228B22) |
| `forestBear()` | Brown (#8B4513) |
| `forestNeutral()` | Grey (#787B86) |
| `forestLime()` | Lime Green (#32CD32) |
| `forestOlive()` | Olive (#6B8E23) |
| `forestEarth()` | Earth Brown (#704214) |
### Candy Theme (Pastel/Soft Colors)
| Function | Description |
| ----------------- | -------------------- |
| `candyBull()` | Mint Green (#98FB98) |
| `candyBear()` | Soft Pink (#FFB6C1) |
| `candyNeutral()` | Grey (#787B86) |
| `candyLavender()` | Lavender (#E6E6FA) |
| `candyPeach()` | Peach (#FFDAB9) |
| `candySky()` | Sky Blue (#87CEEB) |
### Fire Theme (Reds, Oranges, Yellows)
| Function | Description |
| --------------- | ---------------------- |
| `fireBull()` | Flame Orange (#FF5722) |
| `fireBear()` | Dark Red (#B71C1C) |
| `fireNeutral()` | Grey (#787B86) |
| `fireYellow()` | Flame Yellow (#FFC107) |
| `fireEmber()` | Ember (#FF6F00) |
| `fireAsh()` | Ash Grey (#424242) |
### Ice Theme (Cool Blues and Whites)
| Function | Description |
| -------------- | ---------------------- |
| `iceBull()` | Ice Blue (#B3E5FC) |
| `iceBear()` | Frost Blue (#0277BD) |
| `iceNeutral()` | Grey (#787B86) |
| `iceWhite()` | Snow White (#F5F5F5) |
| `iceCrystal()` | Crystal Blue (#81D4FA) |
| `iceFrost()` | Frost (#4FC3F7) |
---
## 🔧 Selector & Utility Functions
| Function | Description |
| -------------------- | --------------------------------------------------- |
| `bullColor()` | Get bullish color by theme name |
| `bearColor()` | Get bearish color by theme name |
| `trendColor()` | Returns bull/bear color based on boolean condition |
| `gradientColor()` | Creates gradient between bull/bear (0-100 value) |
| `rsiGradient()` | RSI-style coloring (oversold=bull, overbought=bear) |
| `candleColor()` | Returns color based on candle direction |
| `volumeColor()` | Returns color based on close vs previous close |
| `withTransparency()` | Applies transparency to any color |
| `getAllThemes()` | Returns comma-separated list of all theme names |
| `getThemeOptions()` | Returns array of theme names for input options |
---
## 🔧 Usage Examples
### Basic Usage
```pinescript
//@version=6
indicator("Color Example")
import quantablex/colors_library/1 as CLR
// Direct color usage
plot(close, "Close", CLR.defaultBull())
plot(open, "Open", CLR.defaultBear())
// With transparency
plot(high, "High", CLR.vaporPurple(50))
```
### Using Theme Selector
```pinescript
//@version=6
indicator("Theme Selector")
import quantablex/colors_library/1 as CLR
theme = input.string("DEFAULT", "Color Theme",
options= )
bullCol = CLR.bullColor(theme)
bearCol = CLR.bearColor(theme)
plot(close, "Close", close >= open ? bullCol : bearCol)
```
### Trend Coloring
```pinescript
//@version=6
indicator("Trend Colors")
import quantablex/colors_library/1 as CLR
theme = input.string("VAPOR", "Theme")
ma = ta.ema(close, 20)
// Auto trend color based on condition
trendCol = CLR.trendColor(close > ma, theme)
plot(ma, "EMA", trendCol, 2)
```
### Gradient & RSI Coloring
```pinescript
//@version=6
indicator("Gradient Example")
import quantablex/colors_library/1 as CLR
rsi = ta.rsi(close, 14)
// Gradient based on RSI value
gradCol = CLR.gradientColor(rsi, "NEON")
plot(rsi, "RSI", gradCol)
// Or use built-in RSI gradient
rsiCol = CLR.rsiGradient(rsi, "DEFAULT")
bgcolor(rsiCol, transp=90)
```
### Candle & Volume Coloring
```pinescript
//@version=6
indicator("Candle Colors", overlay=true)
import quantablex/colors_library/1 as CLR
theme = input.string("FIRE", "Theme")
// Auto candle coloring
barcolor(CLR.candleColor(theme))
// Volume bars colored by direction
plotshape(volume, style=shape.circle, color=CLR.volumeColor(theme, 30))
```
---
## 🎨 Theme Selection Guide
| Use Case | Recommended Themes |
| --------------------- | --------------------- |
| **Classic Trading** | DEFAULT, MONO |
| **Dark Mode Charts** | NEON, VAPOR, ICE |
| **Light Mode Charts** | CANDY, SUNSET, FOREST |
| **High Visibility** | NEON, FIRE |
| **Low Eye Strain** | OCEAN, CANDY, ICE |
| **Professional Look** | MONO, DEFAULT, OCEAN |
| **Aesthetic/Stylish** | VAPOR, SUNSET, CANDY |
---
## ⚙️ Parameters Reference
### Common Parameters
- `transparency` - Transparency level (0-100, where 0=opaque, 100=invisible)
### Selector Parameters
- `theme` - Theme name string: `DEFAULT`, `MONO`, `VAPOR`, `NEON`, `OCEAN`, `SUNSET`, `FOREST`, `CANDY`, `FIRE`, `ICE`
---
## 📝 Notes
- All functions accept optional `transparency` parameter (default 0)
- Theme selector functions default to `DEFAULT` theme if invalid name provided
- Use `getAllThemes()` to get comma-separated list of all theme names
- Use `getThemeOptions()` to get array for `input.string` options
- All 50+ color functions are exported for direct use
---
**Author:** thetradingspiderman
**Version:** 1.0
**PineScript Version:** 6
**Total Themes:** 10
**Total Color Functions:** 50+
SENTINEL LITE by Pips0mnianSentinel Lite — Learning Mode is an educational indicator designed to help beginner traders develop discipline and chart-reading skills.
It highlights high-quality learning setups using:
• Trend alignment (EMA 200, 21, 50)
• EMA pullback behavior
• Strong candle confirmation
• Basic market structure
• London and New York session filtering
• Chop avoidance
This tool is not a signal service or automated strategy.
It is designed for practice, journaling, and skill-building.
Best used on:
• XAUUSD (Gold)
• 5-minute timeframe
• London & New York sessions
⚠️ Educational use only. No financial advice.
