TraxisLab Liquidation Heatmap
The TraxisLab Liquidation Heatmap visualizes potential liquidation zones based on price structure, volume, and leverage dynamics. It is designed to provide a clear view of where liquidity is likely to accumulate directly within the chart.
What this indicator does
The indicator identifies price areas where leveraged long and short positions are most likely to be liquidated.
It uses pivot-based structure combined with volume and configurable leverage levels from 10x up to 100x to estimate and display these zones as a dynamic heatmap.
The goal is to highlight areas of concentrated liquidity, potential stop hunts, and zones where price is more likely to react.
Core functionality
Anchor data support allows the use of an external symbol, such as Binance perpetual futures, to improve the realism of the calculations.
Leverage-based calculations are applied across multiple tiers including 10x, 25x, 50x, and 100x.
Volume-weighted estimation assigns each zone an approximate liquidation size in millions of USD.
Cluster detection groups nearby zones together, indicating stronger areas of liquidity concentration.
Nearest zone identification highlights the most relevant zone relative to the current price.
Detailed tooltips provide additional context such as price level, long and short distribution, estimated size, and distance from the current market price.
Time-based fading reduces the visibility of older zones, keeping the focus on more recent data.
Visual structure
The indicator displays heatmap-style zones directly on the chart, with separate color schemes for long and short liquidations.
Intensity varies depending on leverage and clustering strength.
Optional cluster lines improve readability, while labels provide a concise overview of each zone.
An integrated table summarizes the most relevant nearby levels.
Calculation methodology
Liquidation zones are derived from market structure.
Pivot highs are used to estimate potential short liquidations.
Pivot lows are used to estimate potential long liquidations.
The calculations are based on the following formulas:
Short liquidation is calculated as price multiplied by one plus one divided by leverage.
Long liquidation is calculated as price multiplied by one minus one divided by leverage.
Additional factors include volume data, ATR for zone sizing and clustering, and a simulated position allocation model.
Important note
This indicator provides estimated liquidation zones and does not use actual exchange liquidation data.
The calculations are based on typical leverage behavior and market mechanics and are intended to approximate where liquidity is likely positioned.
Application
The indicator can be used to identify potential liquidity targets, anticipate volatility, and refine entries and exits around key levels.
It can also be combined with price action or other analytical methods for more advanced strategies.
This tool is intended for traders who focus on liquidity, structure, and market behavior.
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Soportes y Resistencias Importantes Soportes y Resistencias Importantes
¿Qué hace este indicador?
Detecta automáticamente los niveles de soporte y resistencia más relevantes del gráfico basándose en el volumen real de mercado, no
en fórmulas arbitrarias. La idea es simple: cuando el precio toca un nivel con un volumen muy elevado, ese nivel tiene memoria —
el mercado lo recuerda y suele reaccionar en él en el futuro.
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¿Cómo funciona por dentro?
1. Busca picos de volumen — El indicador escanea el histórico visible en pantalla y localiza las barras donde el volumen fue
notablemente superior a la media. Estos son momentos donde hubo una batalla real entre compradores y vendedores.
2. Registra el precio de cierre en ese pico — El precio al que cerró esa barra de alto volumen se guarda como un nivel potencial.
Es el precio donde el mercado "decidió" moverse con fuerza.
3. Agrupa niveles cercanos (clustering) — Si varios picos de volumen se produjeron cerca del mismo precio, el indicador los fusiona
en un único nivel más preciso. Así evita mostrar cinco líneas casi idénticas.
4. Clasifica automáticamente — Compara cada nivel con el precio actual:
- Los niveles por debajo del precio → Soportes (azul por defecto)
- Los niveles por encima del precio → Resistencias (amarillo por defecto)
5. Muestra solo los más importantes — De todos los niveles detectados, filtra únicamente los top 5 soportes y top 5 resistencias
con mayor volumen asociado. Menos ruido, más señal.
6. Rango visible — Traza dos líneas extra marcando el máximo y mínimo del rango visible en pantalla, útil como referencia rápida de
hasta dónde ha llegado el precio en el período analizado.
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¿Qué muestra en pantalla?
- Líneas horizontales extendidas a ambos lados del gráfico, en el color de soporte o resistencia según corresponda.
- Etiquetas de precio encima de cada línea, alineadas a la derecha del gráfico, indicando el nivel exacto y cuántas veces ese
cluster fue confirmado (ej: 84.250 x3 = nivel tocado con alto volumen 3 veces).
- Dos líneas de rango (máximo y mínimo visible) en colores diferenciados.
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Configuración:
La ventana de configuración se divide en cuatro secciones:
- Volumen — controla qué tan exigente es el detector de picos (barras de contexto y multiplicador sobre la media)
- Clustering — cuántos niveles mostrar como máximo y qué distancia porcentual hace que dos niveles se fusionen en uno
- Soportes / Resistencias — color, grosor y estilo de línea para cada tipo
- Rango visible — personalización de las líneas de máximo y mínimo del área visible
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¿Para quién es útil?
Para cualquier trader que opere con price action y quiera tener en pantalla los niveles donde el mercado ha demostrado interés
real, sin necesidad de dibujarlos manualmente. Funciona en cualquier activo (crypto, forex, acciones, futuros) y en cualquier
temporalidad.
▎ Nota: El indicador trabaja sobre las barras visibles en pantalla. Si haces zoom in o zoom out, los niveles se recalculan en función del nuevo rango visible. אינדיקטור
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Orderflow Pressure EngineOrderflow Pressure Engine (OPE) v1.0
Orderflow Pressure Engine (OPE) is a multi-factor TradingView indicator designed to detect when buying pressure or selling pressure is weakening before a meaningful reversal or momentum shift becomes obvious in price.
Instead of relying on standard oscillators such as RSI or MACD, OPE focuses on market-mechanic concepts: volume imbalance, wave-based participation, effort versus result, market structure shifts, and liquidity sweeps.
Core idea
Strong trends rarely fail without leaving traces.
Before a move loses control, the market often shows signs such as:
price advancing while underlying pressure weakens
rising effort with poor result
weaker participation on follow-up waves
structural breaks after exhaustion
failed breakouts and liquidity grabs
OPE combines these signals into a unified scoring model to highlight moments where one side of the market is likely losing control.
What the indicator analyzes
1. Cumulative Volume Delta (CVD) approximation
OPE builds an internal delta model using price position inside the candle range and accumulates it into a CVD-style series. It then checks for bullish and bearish divergences between price and delta across short and long lookback windows.
Example:
Price makes a higher move, but CVD weakens → buying pressure may be fading
Price pushes lower, but CVD improves → selling pressure may be fading
2. Weis Wave Volume logic
The script groups volume into directional waves and compares current impulse volume with previous same-direction waves.
When follow-up waves show noticeably lower participation, OPE interprets this as a sign of exhaustion.
Example:
Up wave 2 has clearly less volume than up wave 1 → bullish momentum is weakening
Down wave 2 has less volume than down wave 1 → bearish momentum is weakening
3. VSA / Effort vs Result
OPE evaluates the relationship between volume and candle spread.
It detects:
Absorption: high effort, low result
Climax / exhaustion: high effort, large spread near contextual extremes
This helps identify moments where aggressive activity is being absorbed or where a move may be ending in exhaustion.
4. Market Structure Shift (MSS)
The indicator tracks confirmed swing highs and lows and flags breaks of structure that suggest control is changing hands.
Example:
Break below a recent swing low after an uptrend → buyers may be losing control
Break above a recent swing high after a downtrend → sellers may be losing control
5. Liquidity Sweeps
OPE detects failed breakouts above or below prior swing levels.
Example:
Price runs above a swing high but closes back below it → bearish sweep
Price flushes below a swing low but closes back above it → bullish sweep
These events often signal stop-runs, trap moves, and potential reversal zones.
Scoring model
Each module contributes points to a bullish or bearish pressure-loss score.
The result is a directional framework that separates:
normal signals
strong signals
contextual background pressure
This makes the indicator useful not only for entries, but also for reading internal market condition.
Visual features
OPE includes:
bullish and bearish signal labels
strong signal markers
optional background pressure shading
MSS markers
liquidity sweep markers
VSA candle coloring
dashboard with live score breakdown
optional debug pane for internal components
How to interpret signals
Bullish signal
Means selling pressure is likely fading.
This does not simply mean “price is oversold.”
It means the script has found evidence that sellers are losing efficiency, follow-through, structure, or liquidity control.
Bearish signal
Means buying pressure is likely fading.
This suggests that buyers may be losing aggression, absorption may be present, or structure/liquidity behavior is turning against continuation.
Strong signals
Appear when multiple independent modules align.
These are intended to represent higher-conviction setups than isolated events.
Best use cases
OPE is best used for:
reversal setup detection
momentum fade analysis
exhaustion spotting
liquidity grab confirmation
market structure-based discretionary trading
confluence with supply/demand, support/resistance, or higher-timeframe bias
Important note
This indicator uses approximations of orderflow concepts because TradingView does not provide full bid/ask footprint data in standard Pine Script.
It is designed to model pressure behavior as closely as possible using candle structure, volume, and market structure.
It should not be treated as a standalone “predictive machine,” but as a high-context decision-support tool.
Summary
Orderflow Pressure Engine is built for traders who want something more structural and informative than conventional momentum indicators.
It aims to identify when pressure is no longer supporting price action — the moment where continuation becomes fragile and reversal risk rises.
Use it as a framework for reading pressure, exhaustion, and control transfer inside the chart. אינדיקטור
Average Session RangeAverage Session Range
This indicator calculates and displays the average true range of the three major trading sessions (Tokyo, London, and New York) over a user-defined number of past sessions. It also shows the current session's range in real-time, helping traders quickly assess volatility expectations for the active session.
Key Features:
Three Major Sessions: Automatically detects and tracks Tokyo, London, and New York sessions
Flexible Session Handling: Choose between UTC (Auto DST) mode for accuracy across daylight saving changes, or Manual (AEST) mode with customizable session times
Multiple Display Modes:
Dollar ($) – Shows monetary value based on pointvalue (great for futures & CFDs)
Points – Raw price range
Pips – Converted to pips (ideal for forex)
Lookback Period: Average calculated over the last 1–20 sessions (user adjustable)
Clean Table Display: Elegant table in the bottom-right corner showing:
Current active session
Current session range (live updating)
Average range for the current session type
Why It's Useful:
Quickly see if the current session is expanding or contracting relative to its historical average
Better session-based volatility awareness
Ideal for day traders, scalpers, and breakout traders who trade around session opens and ranges
Particularly helpful on indices, forex majors, and futures contracts
Customization Options:
Number of sessions to average (1–20)
Display unit ($, Points, or Pips)
Session mode (UTC Auto DST or Manual AEST)
Full color customization for the table (header and values)
Perfect for traders who want a simple, at-a-glance view of how much movement to expect during each major trading session. אינדיקטור
Koda 30% Stop OverlayKoda 30% Stop Overlay
How to Use
What This Indicator Does
The Koda 30% Stop Overlay takes the daily volatility (ATRD) and converts it into real, actionable levels directly on your price chart.
Instead of guessing where your stop should go, it automatically plots:
• Session Open (Asian / London / New York)
• Upper 30% ATRD level
• Lower 30% ATRD level
These levels act as a volatility-based risk framework, helping you place stops that are aligned with how the market actually moves.
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How to Use It (Step-by-Step)
1. Add It to Your Main Chart
• This script must be applied to the candle chart
• Not in a separate panel
You should immediately see lines appear at session opens
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2. Choose Your Active Sessions
Enable or disable:
• Asian
• London
• New York
Most traders focus on:
• London + New York for futures
• All 3 for forex
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3. Identify the Session Open
At the start of each session:
• A horizontal line is drawn at the open price
This becomes your anchor point
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4. Read the 30% Stop Bands
Two lines are automatically plotted:
• Upper Band = Session Open + 30% ATRD
• Lower Band = Session Open – 30% ATRD
Example:
• ATRD = 300 points
• 30% = 90 points
If NY opens at 15,000:
• Upper = 15,090
• Lower = 14,910
These levels represent a minimum realistic stop distance
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5. Use It for Stop Placement
Before entering a trade:
Ask:
• Is my stop inside the 30% range? → ❌ Too tight
• Is my stop outside or aligned with it? → ✅ Valid
This prevents getting stopped out by normal volatility
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6. Use It for Trade Context
The bands also tell you:
• If price is still within normal movement
• If price is expanding beyond the expected range
• If the move is overextended
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7. Combine With Your Setup
Best used with:
• liquidity sweeps
• structure breaks
• VWAP
• session highs/lows
The overlay doesn’t give entries — it protects execution
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How Traders Should Use This
Before every trade:
• Where is the session open?
• Where is 30% ATRD?
• Is my stop realistic for current volatility?
• Am I trading into expansion or exhaustion?
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What Makes This Different From Other ATR Indicators
1. It Translates ATR Into Real Price Levels
Most ATR indicators:
• just show a number
Koda Overlay:
• converts ATR into visible lines on the chart
You don’t calculate — you see it instantly
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2. It Anchors to Session Opens
Standard ATR:
• ignores when volatility actually happens
This tool:
• resets at:
o Asian open
o London open
o New York open
You get session-based risk levels, not generic ones
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3. It Uses the 30% Rule (Execution-Based)
Most ATR tools:
• don’t tell you what to do with the number
This one:
• gives a clear, actionable rule:
o ~30% ATRD = minimum stop range
It bridges the gap between indicator → decision
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4. Built for Intraday Traders
Standard ATR:
• is often used for swing trading
Koda Overlay:
• is built specifically for:
o scalping
o intraday execution
o session-based trading
It works with how you actually trade
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5. Adapts to Any Market Automatically
• Futures (MGC, NQ, GC, MNQ)
• Forex (XAU/USD)
• Crypto
• Stocks
Always uses the symbol’s own daily volatility
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Core Concept
“Your stop shouldn’t be based on what you’re willing to lose —
it should be based on what the market normally moves.”
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Bottom Line
• ATRD tells you how far price moves
• Session open tells you where movement starts
• 30% Rule tells you how much room you need
This indicator turns all three into clear, visual execution levels.
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Liquidity sweep divergence (SMT) This script implements a refined version of SMT (Smart Money Technique) divergence, focused specifically on liquidity sweeps between correlated assets rather than simple structural divergence.
Use it on one market:
FOREX: EURUSD + DXY (or GBPUSD + DXY)
CRYPTO: BTC+ETH (BTC + TOTAL3, ETH + TOTAL3)
INDICES: ES + NQ
COMMODITIVES: XAU + XAG (GOLD+SILVER)
Unlike traditional SMT indicators that rely on comparing consecutive swing highs/lows (HH/LL logic), this script detects true liquidity events, where one asset takes liquidity (sweeps a previous swing) while the other fails to do so.
🔍 Core Concept
SMT divergence in this script is defined as:
Bearish SMT
The main chart sweeps a previous swing high (liquidity taken)
The second asset fails to sweep its corresponding swing high
Bullish SMT
The main chart sweeps a previous swing low
The second asset fails to do the same
This reflects asymmetry in liquidity behavior, often interpreted as a sign of weakening trend continuation and potential reversal.
⚙️ How It Works
The script uses:
1. Pivot-based swing detection
Uses confirmed pivots (ta.pivothigh / ta.pivotlow)
Eliminates noise and repaint issues from naive fractal logic
2. Cross-asset synchronization
Swings between assets are matched using a configurable bar offset tolerance
Ensures meaningful comparison between structurally aligned points
3. Liquidity sweep detection
Detects when price:
Breaks a previous swing level (high/low)
Optionally closes back inside (ICT-style wick sweep)
4. Signal filtering
To reduce false SMT signals, the script includes:
ATR-based minimum move filter
Optional wick confirmation (true liquidity grab)
No multi-swing brute-force scanning (only relevant structure is used)
🎯 What Makes This Script Unique
Focuses on liquidity sweeps, not just HH/LL divergence
Avoids common SMT noise from weak structural comparisons
Uses minimal and efficient logic (O(1)), no heavy loops
Produces clean and trade-relevant signals, not visual clutter
Designed with algorithmic trading compatibility in mind
📊 Visual Features
Clean SMT labels (Bullish / Bearish)
Optional connecting lines showing the sweep move
Background highlighting for quick contextual awareness
Transparent styling to avoid chart obstruction
⚙️ Inputs
Second Asset – symbol used for SMT comparison
Pivot Length – controls swing sensitivity
Max Sync Offset – allowed mismatch between swing points (in bars)
Wick Sweep Filter – require close back inside level (ICT-style)
ATR Filter – minimum sweep strength
Show Lines – toggle visual connections
🧠 How to Use
This indicator is best used in:
Reversal zones
Liquidity pools (equal highs/lows, prior highs/lows)
Session highs/lows (London / NY)
Typical workflow:
Identify SMT signal
Wait for confirmation:
Break of structure (BOS)
Displacement move
Execute entry in direction of SMT
⚠️ Notes
Signals appear at the moment of liquidity sweep, not at pivot formation
This script is non-repainting, as it uses confirmed pivots
SMT is not a standalone strategy — use with market structure
🌍 Дополнительно (RU — для твоей аудитории)
Этот индикатор реализует правильный SMT, основанный не на HH/LL, а на снятии ликвидности.
Ключевая идея:
Один актив забирает ликвидность (пробивает свинг)
Второй — нет
→ это и есть настоящий SMT
В отличие от большинства индикаторов:
нет мусорных сигналов
нет перебора всех свингов
используется только актуальная структура
Лучше всего работает:
на хаях/лоу сессий
на уровнях ликвидности
в связке с BOS / FVG אינדיקטור
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Feynman Renormalization: Armed Confluence & Risk Framework [Aht]The Philosophy
This strategy is built on the principle of Price Renormalization. In high-leverage markets (like XAU/USD), price rarely moves in a straight line; it oscillates between energy states. This script identifies when the "Energy" (Trend + Volume + Momentum) has reached a critical threshold—an Armed State—before committing capital.
Core Mechanics
The system operates on a 16-point proprietary scoring engine that filters for high-probability institutional order flow:
Macro Energy (EMA 200): Ensures alignment with the primary institutional trend.
Volume Weighting: Confirms that price movement is backed by real participation, not just retail noise.
Confluence Scoring: An "Armed" status is only triggered when the Min Score (Default: 10) is met across four technical dimensions.
Dynamic Renormalization Levels: Uses ATR-based stop-entry levels to ensure we only enter when price breaks out of the "Noise Box."
Visual Intelligence
The script features a dynamic Visual Risk Box:
Aqua/Orange Axis: Real-time tracking of the Renorm levels.
Bold White Transition: The borders turn bold white the moment the system is ARMED, providing an immediate visual cue for the user to prep for execution.
Visual Intelligence
The script features a dynamic Visual Risk Box:
Aqua/Orange Axis: Real-time tracking of the Renorm levels.
Bold White Transition: The borders turn bold white the moment the system is ARMED, providing an immediate visual cue for the user to prep for execution.
Technical Specifications
Strategy Type: Trend-Following / Breakout.
Instruments: Optimized for XAU/USD, BTC/USD, and Major Forex pairs.
Timeframe: Recommended 15m or 1H for optimal confluence.
Execution: Orders are processed on the close of the confirming bar to prevent "repainting" or false triggers.
How to Use
Monitor the Label: The top-right label will switch from "Scanning" to "🔥 ARMED" when confluence is high.
The Risk Box: Watch the aqua and orange borders. When they turn Bold White, the strategy is actively placing stop-orders.
Adjust the Sensitivity: Increase the Min Score (default 10) for more conservative, high-quality signals, or decrease it for more frequent "scalp" opportunities.
Disclaimer
This is a quantitative strategy for educational and research purposes. Given the leverage potential in financial markets, always use a disciplined risk management approach.
Instructions for You (PineScript Check)
Version: I've confirmed this uses //@version=6. Ensure your TradingView editor is set to V6 (the latest standard).
Performance: I included process_orders_on_close=true. This ensures your backtest results are realistic and not inflated by intra-bar "cheating."
Visuals: The white border transition is the "hook" that makes this look like a premium institutional tool. אסטרטגייה
Market Environment Analyzer■ Overview
This indicator acts as your personal market analyst, automatically outputting a comprehensive "market environment" report directly on your chart. Instead of a simple scoring system, it uses a meticulously constructed logic tree to understand the market's "context," providing objective and contradiction-free analysis just like a professional trader would in their mind.
■ The Core Feature: The "Subtraction" Logic
To solve common indicator flaws—like MACD fakeouts in ranging markets or oscillator traps (staying overbought/oversold) during strong trends—this system features the ability to intentionally ignore unnecessary indicators depending on the context.
Hyper-Trend Restriction: When ADX exceeds 40 (anomalous trend), the system deems oscillators (RSI/Stoch) as "paralyzed" and warns against dangerous counter-trend signals.
Dead Range Exclusion: When ADX drops below 20 (dead volatility), MACD crossovers are flagged as "noise/fakeouts," and their internal logic evaluation is skipped.
■ 5 Blocks of Analysis
Spatial Analysis: Evaluates macro trends and current phases (pullbacks, ranges, etc.) based on Moving Averages (20/50/200) alignment (Perfect Order) and price positioning.
Volatility & Momentum: Measures market heat using ATR and trend propulsion via ADX.
Internal Logic: Analyzes vector synchronization between MACD and DMI, including high-resolution momentum acceleration/deceleration via MACD histograms.
Local Stress: Combines RSI, Stochastics, and Bollinger Bands (±2σ, ±3σ) to calculate local overbought/oversold conditions and support/resistance.
Final Verdict: Synthesizes the macro context and local stress to provide optimal strategies like "Buy the Dip," "Avoid Chasing," or "Stand Aside."
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■ Overview (UK English)
This indicator serves as your bespoke market strategist, automatically generating a comprehensive "market environment" brief directly onto your chart. Rather than relying on a rudimentary scoring system, it utilises a meticulously constructed logic tree to interpret the market's "context," delivering objective and contradiction-free analysis akin to the mindset of an institutional trader in the City.
■ The Core Feature: The Philosophy of "Subtraction"
To resolve common indicator flaws—such as MACD whipsaws in ranging markets or oscillator traps during fierce trends—this system is equipped to intentionally disregard redundant indicators based on the prevailing context.
Hyper-Trend Restriction: When ADX exceeds 40 (runaway trend), the system deems oscillators (RSI/Stoch) "paralysed" and explicitly warns against perilous counter-trend operations.
Dead Range Exclusion: When ADX falls below 20 (stagnant volatility), MACD crossovers are identified as "noise," and their internal vector analysis is entirely skipped.
■ 5 Blocks of Analysis
Spatial Analysis: Evaluates macro trends and current phases (retracements, consolidations) based on Moving Averages (20/50/200) alignment and price structure.
Volatility & Momentum: Measures market heat using ATR and trend propulsion via ADX.
Internal Logic: Analyses vector synchronisation between MACD and DMI, detailing momentum acceleration or deceleration via MACD histograms.
Local Stress: Synthesises RSI, Stochastics, and Bollinger Bands (±2σ, ±3σ) to gauge local overheating and key support/resistance zones.
Final Verdict: Combines the macro context with local stress to deliver actionable intelligence such as "Buy the Dip," "Do Not Chase," or "Stand Aside."
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■ 概要 (Japanese)
このインジケーターは、現在の相場環境を複数のテクニカル指標から総合的に読み解き、プロのトレーダーが頭の中で行っている「環境認識」をテキストレポートとしてチャート上に自動出力するシステムです。単なる点数制ではなく、緻密に構築された論理ツリーにより相場の「文脈（コンテキスト）」を理解し、矛盾のない客観的な分析結果を提示します。
■ 最大の特徴：「プロの引き算」ロジック
多くのインジケーターが抱える「レンジ相場でのMACDのダマシ」や「強いトレンド相場でのオシレーターの張り付き（逆張りの罠）」を解決するため、本システムは状況に応じて**【不要な指標をあえて無視する】**機能を搭載しています。
ハイパートレンド時の機能制限: ADXが40を超える異常なトレンド相場では、オシレーター（RSI/Stoch）の買われすぎ・売られすぎ判定を「機能不全（張り付き）」とみなし、危険な逆張りシグナルを警告・遮断します。
デッドレンジ時の評価除外: ADXが20を下回るボラティリティの死んだ相場では、MACD等の追従指標によるクロスを「ノイズ（ダマシ）」と判定し、内部ロジックの評価をスキップします。
■ 5つの解析ブロック
空間認識: 移動平均線(20/50/200)の並び（パーフェクトオーダー等）と価格の位置関係から、大局のトレンドと現在のフェーズ（押し目・戻り・レンジ等）を判定。
市場熱量とモメンタム: ATRによるボラティリティと、ADXによるトレンドの推進力を計測。
内部ロジック解析: MACDとDMIのベクトル同期に加え、MACDヒストグラムの増減から「モメンタムの加速/減速」まで高解像度に分析。
局所ストレス: RSI、ストキャスティクス、ボリンジャーバンド(±2σ, ±3σ)を複合し、局所的な過熱感とサポート/レジスタンスを算出。
総合判定: 上位の文脈と局所ストレスを掛け合わせ、「押し目買い」「突っ込み売り警戒」「ノートレード」などの最適解を提示。
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Gold Pro Stacking Dashboard V2Master Guide: Gold Pro Stacking Dashboard V2
This guide will help you master the Gold Pro Stacking Dashboard V2. This indicator is designed for high-probability "stacking" entries on the 5-minute timeframe, ensuring that when you enter a trade, the entire market structure and the fundamental drivers (Dollar and Yields) are working in your favor.
1. The Dashboard Columns
The dashboard in the top-right is your "Command Center." Here is exactly what each metric tells you:
Trend Bias (EMA20): Shows if the price is trading above or below a sloping EMA on that specific timeframe.
🟢 Green (Bullish): Price is trending up.
🔴 Red (Bearish): Price is trending down.
Volume: Tracks institutional activity and momentum.
🟠 Orange (HIGH): Big players are entering the market. This is exactly what you want to see for a breakout.
⚪ Grey (NORMAL): Standard retail volume.
Market State (The Score): This is the heart of the "Stacking" logic.
NEUTRAL: The timeframes are mixed. Do nothing.
STRONG BULL / BEAR: 4 out of 5 factors are aligned. Good for aggressive traders.
🔥 SUPER STACK: The "Holy Grail" signal. All 4 timeframes, the DXY, and Bond Yields are perfectly aligned.
💤 LOW VOLATILITY: The market is "dead." The indicator will hide signals here to prevent you from getting chopped out.
2. The Fundamental Drivers
At the bottom of the table, you will see the DXY Index (US Dollar) and 10Y Bond Yields.
Gold has a strong inverse relationship with both of these assets.
If the DXY and Yields are Green (Bullish), Gold should ideally be Falling.
The dashboard automatically factors this into the Super Stack signal. A "Super Buy" will only occur if the Dollar and Yields are weakening.
3. On-Chart Visuals
Beyond the dashboard, the indicator plots visual cues directly on your candles:
🏷️ GOLD BUY / GOLD SELL Labels: These appear when a "Super Stack" is confirmed.
Note: The signal only triggers if the current candle breaks the high/low of the previous candle, confirming that momentum has actually started.
🕯️ Bar Coloring (Context): The candles themselves are subtly colored based on the macro 4-hour trend.
If the bars are Greenish, the "Big Picture" is Bullish.
If the bars are Reddish, the "Big Picture" is Bearish.
🔵 Vol+ Dots: Tiny circles above or below the bars indicating high volume pressure on the 5m chart.
4. How to Trade (The Checklist)
🟢 The Perfect Long (Buy) Setup:
Check 4H Bias: Are the bars greenish? (HTF Trend is up).
Monitor Dashboard: Wait for the Stack Status to move from "Neutral" to "Strong Bull."
Fundamental Check: Ensure DXY and Yields are showing "Bearish (XAU↑)".
Execute: When the GOLD BUY label appears and volume is HIGH, enter the trade.
Stop Loss: Place your stop loss safely below the most recent 5m swing low.
🔴 The Perfect Short (Sell) Setup:
Check 4H Bias: Are the bars reddish? (HTF Trend is down).
Monitor Dashboard: Wait for the Stack Status to move to "Strong Bear."
Fundamental Check: Ensure DXY and Yields are showing "Bullish (XAU↓)".
Execute: When the GOLD SELL label appears and volume is HIGH, enter the trade.
Stop Loss: Place your stop loss safely above the most recent 5m swing high.
5. Professional Tips
⚠️ Avoid "DXY Conflict": If Gold is moving up but the DXY is also moving up, be very careful. This is often a fake-out. Wait for the fundamentals to align properly.
⏰ London & New York Open: The most reliable "Super Stacks" happen during the first 2 hours of the London open and the first 2 hours of the New York open.
🛑 Trust the Low Volatility Filter: If the dashboard says "LOW VOLATILITY," walk away from the screen. These are the times when Gold is most likely to hit your stop loss due to random, directionless noise. אינדיקטור
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