Moon Phases & Declinations - Chronos Capital [BETA]High-Precision Lunar Cycles: Moon Phases & Declinations (Swiss Ephemeris)
Overview
This indicator provides institutional-grade astronomical data directly on your chart. Unlike standard scripts that use basic sine-wave approximations, this tool implements the **Swiss Ephemeris algorithm**, the gold standard for high-precision celestial calculations.
By tracking the Moon’s phases and its **Maximum/Minimum Declinations**, traders can identify potential "turning points" or "energy shifts" in market volatility often associated with lunar cycles.
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Key Features
Ultra-High Precision: Calculations are accurate to within *seconds* of time, ensuring that the visual plot aligns perfectly with astronomical reality.
Moon Phase Tracking: Distinct markers for New Moon, Full Moon, and Quarters.
Lunar Declination Peaks: Automatically identifies when the moon reaches its *Maximum North* and *Maximum South* points (Lunar Extremes).
Customizable Visuals: Toggle between background highlights, vertical lines, or plot signals to suit your trading style.
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Technical Accuracy
This script is built using a ported version of the Swiss Ephemeris
Positional Accuracy: Within 0.1 arcseconds.
Time Accuracy: Within **~1-2 seconds** of official JPL data.
Algorithm: Integration of the *ELP2000-85* lunar theory for maximum reliability over decades of historical data.
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### **How to Use**
1. **Reversal Zones:** Watch for the Moon’s *Max/Min Declination* points, which often coincide with local tops or bottoms in trending markets.
2. **Volatility Shifts:** Use the *New Moon* and *Full Moon* markers to anticipate periods of increased or decreased market liquidity and volume.
3. **Confluence:** Best used in combination with your existing price action or momentum indicators to add a "time-based" filter to your entries.
*Disclaimer: This tool is for educational and analytical purposes only. Lunar cycles are a study of time-based correlation, not a guaranteed financial signal.*
Services Pine
Adaptive Z-Score Oscillator [QuantAlgo]🟢 Overview
The Adaptive Z-Score Oscillator transforms price action into statistical significance measurements by calculating how many standard deviations the current price deviates from its moving average baseline, then dynamically adjusting threshold levels based on historical distribution patterns. Unlike traditional oscillators that rely on fixed overbought/oversold levels, this indicator employs percentile-based adaptive thresholds that automatically calibrate to changing market volatility regimes and statistical characteristics. By offering both adaptive and fixed threshold modes alongside multiple moving average types and customizable smoothing, the indicator provides traders and investors with a robust framework for identifying extreme price deviations, mean reversion opportunities, and underlying trend conditions through the visualization of price behavior within a statistical distribution context.
🟢 How It Works
The indicator begins by establishing a dynamic baseline using a user-selected moving average type applied to closing prices over the specified length period, then calculates the standard deviation to measure price dispersion:
basis = ma(close, length, maType)
stdev = ta.stdev(close, length)
The core Z-Score calculation quantifies how many standard deviations the current price sits above or below the moving average basis, creating a normalized oscillator that facilitates cross-asset and cross-timeframe comparisons:
zScore = stdev != 0 ? (close - basis) / stdev : 0
smoothedZ = ma(zScore, smooth, maType)
The adaptive threshold mechanism employs percentile calculations over a historical lookback period to determine statistically significant extreme zones. Rather than using fixed levels like ±2.0, the indicator identifies where a specified percentage of historical Z-Score readings have fallen, automatically adjusting to market regime changes:
upperThreshold = adaptive ? ta.percentile_linear_interpolation(smoothedZ, percentilePeriod, upperPercentile) : fixedUpper
lowerThreshold = adaptive ? ta.percentile_linear_interpolation(smoothedZ, percentilePeriod, lowerPercentile) : fixedLower
The visualization architecture creates a four-tier coloring system that distinguishes between extreme conditions (beyond the adaptive thresholds) and moderate conditions (between the midpoint and threshold levels), providing visual gradation of statistical significance through opacity variations and immediate recognition of distribution extremes.
🟢 How to Use This Indicator
▶ Overbought and Oversold Identification:
The indicator identifies potential overbought conditions when the smoothed Z-Score crosses above the upper threshold, indicating that price has deviated to a statistically extreme level above its mean. Conversely, oversold conditions emerge when the Z-Score crosses below the lower threshold, signaling statistically significant downward deviation. In adaptive mode (default), these thresholds automatically adjust to the asset's historical behavior, i.e., during high volatility periods, the thresholds expand to accommodate wider price swings, while during low volatility regimes, they contract to capture smaller deviations as significant. This dynamic calibration reduce false signals that plague fixed-level oscillators when market character shifts between volatile and ranging conditions.
▶ Mean Reversion Trading Applications:
The Z-Score framework excels at identifying mean reversion opportunities by highlighting when price has stretched too far from its statistical equilibrium. When the oscillator reaches extreme bearish levels (below the lower threshold with deep red coloring), it suggests price has become statistically oversold and may snap back toward the mean, presenting potential long entry opportunities for mean reversion traders. Symmetrically, extreme bullish readings (above the upper threshold with bright green coloring) indicate potential short opportunities or long exit points as price becomes statistically overbought. The moderate zones (lighter colors between midpoint and threshold) serve as early warning areas where traders can prepare for potential reversals, while exits from extreme zones (crossing back inside the thresholds) often provide confirmation that mean reversion is underway.
▶ Trend and Distribution Analysis:
Beyond discrete overbought/oversold signals, the histogram's color pattern and shape reveal the underlying trend structure and distribution characteristics. Sustained periods where the Z-Score oscillates primarily in positive territory (green bars) indicate a bullish trend where price consistently trades above its moving average baseline, even if not reaching extreme levels. Conversely, predominant negative readings (red bars) suggest bearish trend conditions. The distribution shape itself provides insight into market behavior, e.g., a narrow, centered distribution clustering near zero indicates tight ranging conditions with price respecting the mean, while a wide distribution with frequent extreme readings reveals volatile trending or choppy conditions. Asymmetric distributions skewed heavily toward one side demonstrate persistent directional bias, whereas balanced distributions suggest equilibrium between bulls and bears.
▶ Built-in Alerts:
Seven alert conditions enable automated monitoring of statistical extremes and trend transitions. Enter Overbought and Enter Oversold alerts trigger when the Z-Score crosses into extreme zones, providing early warnings of potential reversal setups. Exit Overbought and Exit Oversold alerts signal when price begins reverting from extremes, offering confirmation that mean reversion has initiated. Zero Cross Up and Zero Cross Down alerts identify transitions through the neutral line, indicating shifts between above-mean and below-mean price action that can signal trend changes. The Extreme Zone Entry alert fires on any extreme threshold penetration regardless of direction, allowing unified monitoring of both overbought and oversold opportunities.
▶ Color Customization:
Six visual themes (Classic, Aqua, Cosmic, Ember, Neon, plus Custom) accommodate different chart backgrounds and aesthetic preferences, ensuring optimal contrast and readability across trading platforms. The bar transparency control (0-90%) allows fine-tuning of visual prominence, with minimal transparency creating bold, attention-grabbing bars for primary analysis, while higher transparency values produce subtle background context when using the oscillator alongside other indicators. The extreme and moderate zone coloring system uses automatic opacity variation to create instant visual hierarchy, with darkest colors highlight the most statistically significant deviations demanding immediate attention, while lighter shades mark developing conditions that warrant monitoring but may not yet justify action. Optional candle coloring extends the Z-Score color scheme directly to the price candles on the main chart, enabling traders to instantly recognize statistical extremes and trend conditions without needing to reference the oscillator panel, creating a unified visual experience where both price action and statistical analysis share the same color language.
Entry / TP / SL Alert Bands (Simple & Stable)
Get an alert before you reach your take profit or stop loss. Set as a percentage over the distance to your stop loss and take profit and improve your Money Management
Crypto ATR Position Sizer + LeverageThis indicator is a "heads-up display" for crypto traders who need real time risk management without manually calculating position sizes. It uses Average True Range (ATR) to dynamically place Stop Losses based on current market volatility and automatically calculates the exact position size needed to respect your risk percentage.
Key Features:
Dynamic Risk Management: Stop Loss and Take Profit levels adjust automatically based on market volatility (ATR).
Auto-Position Sizing: Calculates the exact Quantity (in coins) and Position Value (in $) to ensure you never risk more than your defined percentage (e.g., 1% or 2%).
Leverage Calculator: Instantly sees the "Required Leverage" needed to execute the trade size relative to your account balance.
Crypto Precision: Displays up to 8 decimal places, making it compatible with both Bitcoin and low-sat altcoins.
Toggable Direction: Switch between Long and Short biases instantly via the settings menu.
How to Use:
Add the indicator to your chart.
Open Settings and input your Account Balance and Risk %.
Choose your direction (Long or Short) using the checkboxes.
The label will display your Entry, SL, TP, Coin Quantity, and Required Leverage in real-time.
Renko Average Bricks This indicator calculates the average RENKO brick streaks. Streaks=consecutive bricks of the same color. EX. G= 1 streak of 1. GGG = 1 streak of 3. RR 1 streak of 2. Single bricks count. There is the option for look back period which can be changed but Defaults to 50. Calculates the last 50 completed green streaks and then averages them. Same with red streaks. Only closed bricks count.
Very Simple and can be used for targets, ect.
Cheers
Position CalculatorAn on chart indicator that helps you calculate position sizes, risk/reward ratios, and potential profit/loss for your trades.
Pardos Info DashboardThis indicator presents basic data in a concentrated form
Additions to the indicator are welcome by email to gshayp@gmail.com
2 Dip/Tepe + Destek/Direnç + Tek Sinyal Stratejisi⭐ A Brief Summary of What the Strategy Does
🎯 1) Market analysis is being released (bottom-top analysis)
It automatically finds pivot bottoms and pivot tops on the strategic chart. Then:
If the bottoms are rising (HL – High Low): the trend is upward
If the tops are falling (LH – Lower High): the trend is downward
it interprets this.
🎯 2) Support and resistance lines are formed
Last pivot top = resistance line
Last pivot bottom = support line
These lines are automatically drawn on the chart.
🎯 3) Breakout is expected according to the trend structure
For LONG:
The last two bottoms will be rising bottoms
The price will rise above the last resistance line
This gives a single LONG signal.
For SHORT:
The last two peaks will be falling peaks
The price will fall below the support line
This gives a single SHORT signal.
RTH Yesterday & Today Premarket Levels## **RTH Yesterday & Today Premarket Levels**
This indicator plots the most commonly used **institutional reference levels** for intraday trading:
* **Yesterday’s Regular Trading Hours (RTH) High**
* **Yesterday’s Regular Trading Hours (RTH) Low**
* **Yesterday’s Regular Trading Hours (RTH) Close**
* **Today’s Premarket High**
* **Today’s Premarket Low**
All levels are drawn as **straight horizontal lines with labels** and remain fixed throughout the current session.
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### **How Levels Are Calculated**
**Yesterday’s Levels (RTH only)**
* Computed strictly from **Regular Trading Hours (09:30–16:00 exchange time)**.
* Extended-hours data is **excluded** to avoid distortion.
* Captures true institutional highs, lows, and closing price.
**Today’s Premarket Levels (PM only)**
* Computed strictly from **today’s premarket session (04:00–09:29)**.
* Resets daily and does not include prior days.
* Levels finalize once premarket ends and extend across the regular session.
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### **Key Features**
* Exactly **5 fixed reference levels**, no historical clutter
* **Non-repainting**: levels do not change once established
* **No zig-zags or plots**; only clean horizontal lines
* Customizable **line colors and thickness**
* Labels clearly identify each level:
* Y High
* Y Low
* Y Close
* PM High
* PM Low
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### **Best Use Cases**
* Intraday trading (1m, 5m, 15m)
* VWAP and momentum strategies
* Gap-and-go or fade setups
* Support/resistance validation
* Options trading and scalping
These levels often act as **decision points, liquidity magnets, and rejection zones** during the regular session.
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### **Required Settings**
* Use **intraday timeframes**
* Enable **Extended Hours** in TradingView’s symbol settings
* Designed for **US equities** using exchange time
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### **Trader Notes**
This script is intentionally minimalist. It shows only the **most relevant prior-day and premarket price references** used by professional traders, avoiding noise from multi-day indicators or derived averages.
Green Day or Red Day?What it is:
This simple indicator provides immediate visual context by tinting the background of your chart Green or Red based on the asset's daily performance.
Who's it for?
It is designed for day traders and scalpers who operate on lower timeframes (1m, 5m, 15m) but need to remain aware of the overall daily direction without switching charts. It can be used in combination with the ORB strategy as a helpful tool to "feel" the trend when you're way out of the ORB range. But this indicator can be used by anyone regardless of trading style.
How it works:
This script pulls data from the daily timeframe regardless of the chart interval you are currently viewing. It compares the current price to a user-selectable reference point (either Yesterday's Close or Today's Open) to determine the background color.
Good Luck. May you make good trades!
Volatility Aurora [The_lurker]█░░░░░░░░░░░░░░░░░░░ VOLATILITY AURORA ░░░░░░░░░░░░░░░░░░░░█
█░░░░░░░░░░░░░░░ Where Market Energy Meets Visual Poetry ░░░░░░░░░░░░░░░░█
📖 INTRODUCTION
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The Aurora Borealis occurs when charged particles from the sun collide with gases in Earth's atmosphere, creating mesmerizing waves of colorful light.
𝗩𝗼𝗹𝗮𝘁𝗶𝗹𝗶𝘁𝘆 𝗔𝘂𝗿𝗼𝗿𝗮 applies this elegant concept to financial markets:
⚡ Price Momentum = Charged Particles
🌌 ATR Layers = Atmospheric Layers
🎨 Color Intensity = Energy Magnitude
📐 Layer Expansion = Volatility State
When momentum "collides" with volatility layers, the Aurora illuminates potential market regime changes — often before they fully manifest in price action.
🔬 THE SCIENCE BEHIND IT
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Unlike traditional volatility indicators that provide a single value, Volatility Aurora creates a 𝗺𝘂𝗹𝘁𝗶-𝗱𝗶𝗺𝗲𝗻𝘀𝗶𝗼𝗻𝗮𝗹 𝘃𝗼𝗹𝗮𝘁𝗶𝗹𝗶𝘁𝘆 𝗳𝗶𝗲𝗹𝗱 using five distinct ATR layers based on Fibonacci periods:
│ Layer │ Period │ Atmospheric │ Function │
├──────────────────────┼─────────────────┼─────────────────┤
│ Layer 1 │ 5 │ Ionosphere │ Captures immediate vol shifts
│ Layer 2 │ 13 │ Mesosphere │ Medium-term vol response
│ Layer 3 │ 34 │ Stratosphere │ Intermediate vol structure
│ Layer 4 │ 55 │ Troposphere │ Foundational vol baseline
│ Layer 5 │ 89 │ Surface │ Structural, long-term vol
⚡ CORE CONCEPTS
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𝟭. 𝗟𝗮𝘆𝗲𝗿 𝗘𝘅𝗽𝗮𝗻𝘀𝗶𝗼𝗻 & 𝗖𝗼𝗻𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻
Each layer dynamically expands or contracts based on its normalized ATR value:
• 𝗘𝘅𝗽𝗮𝗻𝗱𝗶𝗻𝗴 𝗟𝗮𝘆𝗲𝗿𝘀 → Increasing volatility regime
• 𝗖𝗼𝗻𝘁𝗿𝗮𝗰𝘁𝗶𝗻𝗴 𝗟𝗮𝘆𝗲𝗿𝘀 → Decreasing volatility / Consolidation
• 𝗕𝗿𝗲𝗮𝘁𝗵𝗶𝗻𝗴 𝗘𝗳𝗳𝗲𝗰𝘁 → Natural market rhythm visualization
𝟮. 𝗛𝗮𝗿𝗺𝗼𝗻𝘆 𝗦𝗰𝗼𝗿𝗲
Measures alignment between all five layers:
• 𝗛𝗶𝗴𝗵 𝗛𝗮𝗿𝗺𝗼𝗻𝘆 (>70%) → All timeframes agree → Strong, reliable trends
• 𝗟𝗼𝘄 𝗛𝗮𝗿𝗺𝗼𝗻𝘆 (<30%) → Timeframe divergence → Choppy conditions
𝟯. 𝗘𝗻𝗲𝗿𝗴𝘆 𝗜𝗻𝘁𝗲𝗻𝘀𝗶𝘁𝘆
Quantifies how strongly momentum is "hitting" the volatility layers:
• 𝗛𝗶𝗴𝗵 𝗜𝗻𝘁𝗲𝗻𝘀𝗶𝘁𝘆 → Strong directional conviction
• 𝗟𝗼𝘄 𝗜𝗻𝘁𝗲𝗻𝘀𝗶𝘁𝘆 → Weak momentum, potential reversal
𝟰. 𝗥𝗲𝗴𝗶𝗺𝗲 𝗖𝗹𝗮𝘀𝘀𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻
Based on aggregate layer states:
🟢 𝗖𝗔𝗟𝗠 → Low volatility across all layers
🟡 𝗡𝗢𝗥𝗠𝗔𝗟 → Balanced market conditions
🟠 𝗩𝗢𝗟𝗔𝗧𝗜𝗟𝗘 → Elevated activity
🔴 𝗘𝗫𝗧𝗥𝗘𝗠𝗘 → Maximum volatility state
🎨 VISUAL COMPONENTS
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🌈 𝗔𝘂𝗿𝗼𝗿𝗮 𝗟𝗮𝘆𝗲𝗿𝘀 (𝗚𝗿𝗮𝗱𝗶𝗲𝗻𝘁 𝗕𝗮𝗻𝗱𝘀)
• Five pairs of symmetrical bands around the price core
• Color gradient from core (bright) to outer (dim)
• Expansion reflects current volatility state
💠 𝗖𝗼𝗿𝗲 𝗟𝗶𝗻𝗲
• Central EMA-based trend line
• Color changes with momentum direction:
🟢 Cyan/Teal = Bullish
🔴 Pink/Magenta = Bearish
🟣 Purple = Neutral
💫 𝗘𝗻𝗲𝗿𝗴𝘆 𝗣𝘂𝗹𝘀𝗲 𝗟𝗶𝗻𝗲𝘀
• Diagonal flow lines showing momentum trajectory
• Thicker lines = Higher energy
• Direction indicates momentum flow
🎵 𝗛𝗮𝗿𝗺𝗼𝗻𝘆 𝗪𝗮𝘃𝗲𝘀
• Vertical dotted lines appear when harmony exceeds 70%
• Signals timeframe alignment — high-probability zones
📊 HOW TO USE
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📈 𝗧𝗿𝗲𝗻𝗱 𝗙𝗼𝗹𝗹𝗼𝘄𝗶𝗻𝗴
• Enter when Aurora expands in your direction
• Core line color confirms bias
• High harmony = Higher confidence
💥 𝗩𝗼𝗹𝗮𝘁𝗶𝗹𝗶𝘁𝘆 𝗕𝗿𝗲𝗮𝗸𝗼𝘂𝘁𝘀
• Watch for regime shift from CALM to VOLATILE
• Expanding layers signal incoming movement
• Intensity spike confirms breakout strength
↩️ 𝗠𝗲𝗮𝗻 𝗥𝗲𝘃𝗲𝗿𝘀𝗶𝗼𝗻
• EXTREME regime often precedes reversals
• Contracting layers after expansion = Potential pullback
• Low harmony during trends = Weakening momentum
🛡️ 𝗥𝗶𝘀𝗸 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁
• Use outer layers as dynamic support/resistance
• Wider Aurora = Wider stops required
• Contracting Aurora = Tighter risk parameters
⚙️ SETTINGS GUIDE
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🌌 𝗔𝘂𝗿𝗼𝗿𝗮 𝗖𝗼𝗿𝗲
│ Setting │Default │ Description
│ Layer 1-5 │ Fib │ ATR periods (5,13,34,55,89)
│ Expansion Factor │ 2.5 │ Controls layer width multiplier
│ Smoothing │ 5 │ EMA smoothing for visual clarity
⚡ 𝗘𝗻𝗲𝗿𝗴𝘆 𝗙𝗶𝗲𝗹𝗱
│ Setting │ Default │ Description
│ Momentum Length │ 14 │ Period for momentum calculation
│ Energy Lookback │ 21 │ Normalization window
│ Energy Multiplier │ 1.5 │ Amplifies energy display
🎨 𝗩𝗶𝘀𝘂𝗮𝗹
│ Setting │ Default │ Description
│ Language │ EN │ Interface language (EN/AR)
│ Show Aurora │ ✓ │ Toggle layer visibility
│ Show Core Line │ ✓ │ Toggle center line
│ Show Energy Pulse │ ✓ │ Toggle flow lines
│ Show Harmony Waves │ ✓ │ Toggle alignment indicators
🔔 ALERTS
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⚡ 𝗥𝗲𝗴𝗶𝗺𝗲 𝗦𝗵𝗶𝗳𝘁 — Volatility regime changed
🎵 𝗛𝗶𝗴𝗵 𝗛𝗮𝗿𝗺𝗼𝗻𝘆 — All layers aligned (>85%)
↕️ 𝗗𝗶𝗿𝗲𝗰𝘁𝗶𝗼𝗻 𝗖𝗵𝗮𝗻𝗴𝗲 — Momentum direction reversed
🔥 𝗜𝗻𝘁𝗲𝗻𝘀𝗶𝘁𝘆 𝗦𝗽𝗶𝗸𝗲 — Energy exceeded 80% threshold
💡 TIPS FOR BEST RESULTS
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1️⃣ 𝗛𝗶𝗴𝗵𝗲𝗿 𝗧𝗶𝗺𝗲𝗳𝗿𝗮𝗺𝗲𝘀 — Aurora works best on 1H+ charts
2️⃣ 𝗖𝗼𝗺𝗯𝗶𝗻𝗲 𝘄𝗶𝘁𝗵 𝗣𝗔 — Use Aurora as context, not signals
3️⃣ 𝗪𝗮𝘁𝗰𝗵 𝗛𝗮𝗿𝗺𝗼𝗻𝘆 — High harmony setups win more
4️⃣ 𝗥𝗲𝘀𝗽𝗲𝗰𝘁 𝗥𝗲𝗴𝗶𝗺𝗲 — Don't fight EXTREME volatility
5️⃣ 𝗟𝗮𝘆𝗲𝗿 𝗖𝗼𝗻𝗳𝗹𝘂𝗲𝗻𝗰𝗲 — Multi-layer bounces = Strong S/R
⚠️ DISCLAIMER
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This indicator is for educational purposes only. Past performance does not
guarantee future results. Always use proper risk management and conduct your
own analysis before making trading decisions.
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█░░░░░░░░░░░░░░░░░░░░░ شفق التقلب ░░░░░░░░░░░░░░░░░░░░░░█
█░░░░░░░░░░░░░░░ حيث تلتقي طاقة السوق بالشعور البصري ░░░░░░░░░░░░░░░░█
📖 المقدمة
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يحدث الشفق القطبي عندما تصطدم الجسيمات المشحونة القادمة من الشمس بالغازات في الغلاف الجوي للأرض، مما يخلق موجات ساحرة من الضوء الملون.
يطبق نفس المفهوم الأنيق على الأسواق المالية
⚡ زخم السعر = الجسيمات المشحونة
🌌 طبقات ATR = طبقات الغلاف الجوي
🎨 شدة اللون = حجم الطاقة
📐 توسع الطبقات = حالة التقلب
عندما "يصطدم" الزخم بطبقات التقلب، يُضيء الشفق التغيرات المحتملة في نظام السوق — غالباً قبل أن تتجلى بالكامل في حركة السعر.
🔬 العلم وراء المؤشر
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
على عكس مؤشرات التقلب التقليدية التي تقدم قيمة واحدة، يُنشئ شفق التقلب 𝗽𝗮𝗾𝗹 𝘁𝗮𝗾𝗮𝗹𝗹𝘂𝗯 𝗺𝘂𝘁𝗮'𝗮𝗱𝗱𝗶𝗱 𝗮𝗹-𝗮𝗯'𝗮𝗱 باستخدام خمس طبقات ATR مميزة مبنية على أرقام فيبوناتشي:
│ الطبقة │ الفترة │ المعادل الجوي │ الوظيفة
│ الطبقة١ │ 5 │ الأيونوسفير │ تلتقط تحولات التقلب الفورية
│ الطبقة٢ │ 13 │ الميزوسفير │ استجابة التقلب متوسطة المدى
│ الطبقة٣ │ 34 │ الستراتوسفير │ هيكل التقلب المتوسط
│ الطبقة٤ │ 55 │ التروبوسفير │ خط الأساس للتقلب
│ الطبقة٥ │ 89 │ السطح │ التقلب الهيكلي طويل المدى
⚡ المفاهيم الأساسية
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
𝟭. توسع وانكماش الطبقات
تتوسع أو تنكمش كل طبقة ديناميكياً بناءً على قيمة ATR المعيارية:
• طبقات متوسعة ← نظام تقلب متزايد
• طبقات منكمشة ← تقلب متناقص / تجميع
• تأثير التنفس ← تصور إيقاع السوق الطبيعي
𝟮. درجة التناغم
تقيس التوافق بين جميع الطبقات الخمس:
• تناغم عالي (>٧٠٪) ← جميع الأطر متفقة ← اتجاهات قوية
• تناغم منخفض (<٣٠٪) ← تباين الأطر ← ظروف متقطعة
𝟯. شدة الطاقة
تحدد مدى قوة "اصطدام" الزخم بطبقات التقلب:
• شدة عالية ← قناعة اتجاهية قوية
• شدة منخفضة ← زخم ضعيف، احتمال انعكاس
𝟰. تصنيف النظام
بناءً على حالات الطبقات المجمعة:
🟢 هادئ ← تقلب منخفض عبر جميع الطبقات
🟡 طبيعي ← ظروف سوق متوازنة
🟠 متقلب ← نشاط مرتفع
🔴 متطرف ← حالة التقلب القصوى
🎨 المكونات البصرية
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🌈 طبقات الشفق (النطاقات المتدرجة)
• خمسة أزواج من النطاقات المتماثلة حول نواة السعر
• تدرج لوني من النواة (ساطع) إلى الخارج (خافت)
• التوسع يعكس حالة التقلب الحالية
💠 خط النواة
• خط اتجاه مركزي قائم على EMA
• يتغير اللون مع اتجاه الزخم:
🟢 سماوي = صاعد
🔴 وردي = هابط
🟣 بنفسجي = محايد
💫 خطوط نبض الطاقة
• خطوط تدفق مائلة تُظهر مسار الزخم
• خطوط أسمك = طاقة أعلى
• الاتجاه يشير إلى تدفق الزخم
🎵 موجات التناغم
• خطوط عمودية منقطة تظهر عندما يتجاوز التناغم ٧٠٪
• تشير إلى توافق الأطر الزمنية — مناطق احتمالية عالية
📊 كيفية الاستخدام
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📈 تتبع الاتجاه
• ادخل عندما يتوسع الشفق في اتجاهك
• لون خط النواة يؤكد التحيز
• تناغم عالي = ثقة أعلى
💥 اختراقات التقلب
• راقب تحول النظام من هادئ إلى متقلب
• الطبقات المتوسعة تشير إلى حركة قادمة
• ارتفاع الشدة يؤكد قوة الاختراق
↩️ الارتداد للمتوسط
• النظام المتطرف غالباً يسبق الانعكاسات
• طبقات منكمشة بعد التوسع = احتمال تراجع
• تناغم منخفض أثناء الاتجاهات = زخم ضعيف
🛡️ إدارة المخاطر
• استخدم الطبقات الخارجية كدعم/مقاومة ديناميكية
• شفق أوسع = وقف خسارة أوسع مطلوب
• شفق منكمش = معايير مخاطر أضيق
⚙️ دليل الإعدادات
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🌌 نواة الشفق
│ الإعداد │الافتراضي│ الوصف
│ الطبقات ١-٥ │ Fib │ فترات ATR (5,13,34,55,89)
│ معامل التوسع │ 2.5 │ يتحكم في مضاعف عرض الطبقات
│ التنعيم │ 5 │ تنعيم EMA للوضوح البصري
⚡ مجال الطاقة
│ الإعداد │الافتراضي│ الوصف
│ فترة الزخم │ 14 │ فترة حساب الزخم
│ فترة الطاقة │ 21 │ نافذة التطبيع
│ مضاعف الطاقة │ 1.5 │ يضخم عرض الطاقة
🎨 العرض البصري
│ الإعداد │الافتراضي│ الوصف
│ اللغة │ EN │ لغة الواجهة (EN/AR)
│ إظهار الشفق │ ✓ │ تبديل ظهور الطبقات
│ خط النواة │ ✓ │ تبديل الخط المركزي
│ نبض الطاقة │ ✓ │ تبديل خطوط التدفق
│ موجات التناغم │ ✓ │ تبديل مؤشرات التوافق
🔔 التنبيهات
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
⚡ تحول النظام — تغير نظام التقلب
🎵 تناغم عالي — جميع الطبقات متوافقة (>٨٥٪)
↕️ تغير الاتجاه — انعكس اتجاه الزخم
🔥 ارتفاع الشدة — تجاوزت الطاقة عتبة ٨٠٪
💡 نصائح للحصول على أفضل النتائج
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1️⃣ الأطر الزمنية الأعلى — الشفق يعمل بشكل أفضل على ساعة فأكثر
2️⃣ ادمج مع حركة السعر — استخدم الشفق كسياق وليس إشارات
3️⃣ راقب التناغم — إعدادات التناغم العالي تربح أكثر
4️⃣ احترم النظام — لا تحارب التقلب المتطرف
5️⃣ تقاطع الطبقات — ارتداد من طبقات متعددة = دعم/مقاومة قوية
⚠️ إخلاء المسؤولية
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هذا المؤشر للأغراض التعليمية فقط. الأداء السابق لا يضمن النتائج المستقبلية.
استخدم دائماً إدارة مخاطر مناسبة وقم بتحليلك الخاص قبل اتخاذ قرارات التداول.
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Gold Mastermind Pro v6EMA50 / EMA200 trend (UP / DOWN / FLAT)
VWAP + ATR + RSI filters for entries
ATR-based stop & 2R target
Risk-based position sizing with max 5 contracts
Cooldown in bars after each entry
Long arrows = baby blue, Short arrows = bright orange
Simple dashboard label showing trend, qty, stop & target
Dual MA Crossover with Profit Targets + Stop-LossChatGPT script and is a dual moving average crossover script with profit targets and stop loss
ADX + ATR% Zonas (Overlay - Azul si ambos, si no Naranja)OVERLAY
ADX
ATR
Pintado de Zonas para Entradas Seguras
Session Candle Hunter 🎯🎯 Session Candle Hunter — Precision Session Mapping for Smart Traders
Session Candle Hunter 🎯 is a powerful tool designed to help traders identify and track the most important session candle of the trading day—commonly used for liquidity grabs, range mapping, volatility zones, and breakout anticipation.
Whether you trade NY session, London session, or custom time windows, this indicator automatically detects the candle at your chosen New York Time, extracts its high and low, and visually projects these levels into the current session.
🔍 What This Indicator Does
1️⃣ Detects the Key Session Candle
You select:
Hour of the candle (NY Time)
Candle timeframe (1H, 4H, 15m, etc.)
The script automatically:
Identifies the candle when it forms
Stores its High/Low
Prepares levels for visual projection
🎨 2️⃣ Highlights the Candle Zone
Optionally displays a colored zone (box) between the candle’s high and low:
Helps visualize the liquidity pocket
Useful for session traps, expansion moves, and fair value interpretation
You can choose:
Zone color
Whether to show it or not
Whether it should update only for the latest candle
📈 3️⃣ Draws High/Low Lines With Extensions
High and Low of the detected candle can be plotted as:
Standard lines
Or infinitely extended to the right
Great for identifying:
Breakouts
Retests
Range boundaries
Session expansion models
Optional labels display exact price levels.
🕐 4️⃣ Delayed Display Logic
The indicator only shows levels after a user-defined NY time.
For example:
Show lines only after 8:30 NY — perfect for traders who want pre-session levels hidden until relevant.
🔄 5️⃣ “Show Only Last” Mode
A clean, uncluttered mode that removes all historical drawings and only displays:
The latest zone
The latest high/low lines
Latest labels
Perfect for minimal-chart traders.
⚠️ 6️⃣ Alert System
Receive alerts the moment the targeted session candle forms:
“New Candle Detected”
🧾 7️⃣ Info Panel (Top-Left Corner)
Displays:
Target session hour
Display start time
Candle timeframe
Stored High/Low
Indicator name
Always visible and automatically updates.
⭐ Why Traders Love This Tool
✔ Helps visualize major liquidity zones
✔ Works on all markets & timeframes
✔ Perfect for ICT-style session concepts
✔ Helps anticipate session expansion
✔ Automates manual level drawing
✔ Clean visuals with optional minimal mode
One Point Global Net Liquidity The "Fuel" Behind the MarketMost traders look at price action, but price is often just a reflection of the money supply available in the system. This indicator tracks Global Net Liquidity—the actual amount of fiat currency available to flow into risk assets like Crypto and Equities.
Unlike standard "Money Supply" (M2) charts, this indicator focuses on Central Bank Balance Sheets, which is a more direct proxy for "Quantitative Easing" (QE) and "Quantitative Tightening" (QT).
How It Works (The Formula)
This script aggregates the balance sheets of the "Big 4" Central Banks, which represent ~90% of global liquidity. It automatically converts all values to USD Trillions for a standardized view.
{Global Liquidity} = {US Net Liquidity} + {ECB} + {PBoC} + {BoJ}
1. US Net Liquidity (The "Trader's" Formula) We do not just use the Fed's Total Assets. We subtract the money that is "stuck" outside the private economy:
(+) Fed Balance Sheet: Total Assets.
(-) TGA (Treasury General Account): The government's checking account. When this goes up, liquidity is drained from markets.
(-) RRP (Reverse Repo): Money parked by banks at the Fed overnight. When this goes up, liquidity is removed from the system.
2. Global Additions
ECB (Eurozone): Converted to USD.
PBoC (China): Converted to USD.
BoJ (Japan): Converted to USD.
How to Use This Indicator This indicator is designed as an Overlay on the main chart (using the Left Scale).
Correlation: Generally, when the Orange Line (Liquidity) trends up, Bitcoin and the S&P 500 trend up. When Central Banks tighten (line down), risk assets struggle.
The "Divergence" Signal (Alpha):
Bullish: If Price makes a Lower Low but Liquidity makes a Higher Low, it often signals seller exhaustion and a potential bottom.
Bearish: If Price makes a New High but Liquidity fails to follow (or drops), the rally may be unsupported and prone to a reversal.
Settings
Scale: This indicator is pinned to the Scale Left to allow it to overlay price action without distortion.
Data: Uses daily data from ECONOMICS and FRED feeds.
Simulated Liquidation Heatmap [QuantAlgo]🟢 Overview
This indicator visualizes where clusters of stop-loss orders and liquidation levels are likely located, displayed as a 'heatmap'. It's based on the concept of market structure liquidity: large groups of stop orders tend to gather around obvious technical levels (like swing highs and lows), and these pools of orders often attract price movement from institutional traders. The indicator uses a fractal-based algorithm to identify these high-probability liquidation zones and displays them as dynamic, color-coded boxes.
The key feature is the thermal color gradient, which indicates the freshness (age) and therefore the relative relevance of the liquidity zone. Hot colors (e.g., Red/Yellow) represent fresh clusters that have just formed, suggesting strong and immediate liquidity interest. Cold colors (e.g., Blue/Purple) represent aged or decaying clusters that are becoming less relevant over time. This visualization allows traders to anticipate potential liquidity sweeps (stop hunts) and understand areas of significant retail and institutional positioning.
🟢 Key Features
1. Liquidity Zone Heatmap
The core function is the identification of swing high and swing low price points using a user-defined Lookback period. These points are where retail traders are statistically most likely to place their stop-loss orders. The indicator simulates the clustering of these orders by drawing a zone (box) around the detected swing point, with the vertical size controlled by the Stop/Liquidation Zone Width (%) setting.
▶ Cluster Lookback: Defines the sensitivity of swing point detection. Lower values detect frequent, minor zones (scalping/intraday); higher values detect major, stronger swing points (swing trading).
▶ Zone Width (%): Sets the percentage range above and below the swing point where stops are simulated to cluster, accounting for slippage and typical stop placement spread.
▶ Liquidity Decay: Zones gradually fade in color intensity and are eventually removed after the user-defined Liquidity Decay Period (Bars), ensuring the heatmap only displays relevant, current liquidity areas.
▶ Round Number Filter: An optional filter that limits the display to liquidity zones occurring only at psychologically significant round numbers (e.g., $100, $1,500.00), which typically attract higher concentrations of orders.
2. Thermal Color Gradient
The heatmap's color is a direct function of the zone's age, providing a visual proxy for immediate relevance.
▶ Freshness: Newly created zones are displayed in the Hot Color (high relevance).
▶ Decay: As bars pass, the zone color transitions along the gradient toward the Cold Color and increased transparency (lower relevance), until it is removed entirely.
▶ Color Schemes: Multiple pre-configured and custom color schemes are available to optimize the visualization for different chart themes and color preferences.
3. Liquidity Heat Thermometer
An optional visual thermometer is displayed on the chart to provide an instant, overall assessment of the current liquidation heat level in the immediate vicinity of the price.
▶ Calculation: The thermometer calculates an aggregate heat score based on the age and proximity of all liquidity zones within a user-defined Zone Detection Range (%) of the current price.
▶ Visual Feedback: A marker (triangle) points to the corresponding level on the thermometer's color gradient (Hot to Cold). A high reading indicates price is close to fresh, dense stop clusters, suggesting high volatility or an imminent liquidity sweep is probable. A low reading indicates price is in a low-density or aged liquidity area.
▶ Customization: The thermometer's resolution, position, and text size are fully customizable for optimal chart placement and readability.
🟢 Practical Applications
▶ Anticipate Sweeps: Prioritize trading in the direction of Hot (fresh) liquidity zones. For example, a hot low-side zone suggests strong sell-side liquidity (stop-losses) is available for large buyers to sweep.
▶ Filter Noise: Use the Round Number Filter to focus only on the highest probability liquidation zones, which are often at clean, psychological price levels.
▶ Validate Entries: Combine the Heat Thermometer with price action analysis. A rising heat level indicates increasing proximity to a major stop cluster, signaling a potential turn or an aggressive market move to sweep those stops.
▶ Risk Management: Understand that price often acts dynamically around these zones. High heat levels imply high risk/reward setups; stops should be placed strategically beyond the defined Liquidation Zone Width.
▶ Multi-Timeframe Context: Higher timeframes (e.g., Daily, 4-Hour) often reveal more significant, major liquidity zones. Use this indicator on lower timeframes (e.g., 5-min, 15-min) for execution, but prioritize zones that align with higher-timeframe structures.
Watermark | Bar Time | Average Daily RangeMulti Info Panel & Watermark
Multi Info Panel & Watermark is a utility indicator that displays several pieces of chart information in a single, customizable panel. It is designed to support intraday and swing analysis by making key data—such as symbol details, date, and average daily range—easy to see at a glance, as well as providing simple tools for notes and backtesting.
Features
Watermark / Custom Note
Optional text overlay that can be used as a watermark or personal note.
Can display a strategy name, reminder, or any other user-defined label on the chart.
Ticker Info
Shows information about the currently active symbol on the chart (for example, symbol name and other basic details depending on the inputs).
Helps keep track of which market or pair is being analyzed, especially when using multiple charts.
Current Date
Displays the current date directly on the chart.
Useful for screenshots, journaling, and documenting analysis.
Average Daily Range (ADR)
Calculates the average daily range of the active symbol over a user-defined number of recent days.
Helps visualize how much price typically moves in a day, which can support position sizing, target setting, or volatility awareness within your own trading approach.
Open Bar Time Marker
Marks the open time of a selected bar (for example, a session open or a specific reference bar).
Primarily intended as a visual aid for manual backtesting and reviewing historical price action.
Usage
Use the watermark and ticker info to keep your charts labeled and organized.
Refer to the ADR readout to understand typical daily volatility of the instrument you are studying.
Use the date and open bar time marker when creating screenshots, trade journals, or when replaying historical sessions for review.
This script does not generate trading signals and does not guarantee any performance or results. It is provided solely as an informational and visualization tool. Always combine it with your own analysis, risk management, and decision-making. Nothing in this indicator or description should be considered financial advice.
PoC Migration Map [BackQuant]PoC Migration Map
A volume structure tool that builds a side volume profile, extracts rolling Points of Control (PoCs), and maps how those PoCs migrate through time so you can see where value is moving, how volume clusters shift, and how that aligns with trend regime.
What this is
This indicator combines a classic volume profile with a segmented PoC trail. It looks back over a configurable window, splits that window into bins by price, and shows you where volume has concentrated. On top of that, it slices the lookback into fixed bar segments, finds the local PoC in each segment, and plots those PoCs as a chain of nodes across the chart.
The result is a "migration map" of value:
A side volume profile that shows how volume is distributed over the recent price range.
A sequence of PoC nodes that show where local value has been accepted over time.
Lines that connect those PoCs to reveal the path of value migration.
Optional trend coloring based on EMA 12 and EMA 21, so each PoC also encodes trend regime.
Used together, this gives you a structural read on where the market has actually traded size, how "value" is moving, and whether that movement is aligned or fighting the current trend.
Core components
Lookback volume profile - a side histogram built from all closes and volumes in the chosen lookback window.
Segmented PoC trail - rolling PoCs computed over fixed bar segments, plotted as nodes in time.
Trend heatmap - optional color mapping of PoC nodes using EMA 12 versus EMA 21.
PoC labels - optional labels on every Nth PoC for easier reading and referencing.
How it works
1) Global lookback and binning
You choose:
Lookback Bars - how far back to collect data.
Number of Bins - how finely to split the price range.
The script:
Finds the highest high and lowest low in the lookback.
Computes the total price range and divides it into equal binCount slices.
Assigns each bar's close and volume into the appropriate price bin.
This creates a discretized volume distribution across the entire lookback.
2) Side volume profile
If "Show Side Profile" is enabled, a right-hand volume profile is drawn:
Each bin becomes a horizontal bar anchored at a configurable "Right Offset" from the current bar.
The horizontal width of each bar is proportional to that bin's volume relative to the maximum volume bin.
Optionally, volume values and percentages are printed inside the profile bars.
Color and transparency are controlled by:
Base Profile Color and its transparency.
A gradient that uses relative volume to modulate opacity between lower volume and higher volume bins.
Profile Width (%) - how wide the maximum bin can extend in bars.
This gives you an at-a-glance view of the volume landscape for the chosen lookback window.
3) Segmenting for PoC migration
To build the PoC trail, the lookback is divided into segments:
Bars per Segment - bars in each local cluster.
Number of Segments - how many segments you want to see back in time.
For each segment:
The script uses the same price bins and accumulates volume only from bars in that segment.
It finds the bin with the highest volume in that segment, which is the local PoC for that segment.
It sets the PoC price to the center of that bin.
It finds the "mid bar" of the segment and places the PoC node at that time on the chart.
This is repeated for each segment from older to newer, so you get a chain of PoCs that shows how local value has migrated over time.
4) Trend regime and color coding
The indicator precomputes:
EMA 12 (Fast).
EMA 21 (Slow).
For each PoC:
It samples EMA 12 and EMA 21 at the mid bar of that segment.
It computes a simple trend score as fast EMA minus slow EMA.
If trend heatmap is enabled, PoC nodes (and the lines between them) are colored by:
Trend Up Color if EMA 12 is above EMA 21.
Trend Down Color if EMA 12 is below EMA 21.
Trend Flat Color if they are roughly equal.
If the trend heatmap is disabled, PoC color is instead based on PoC migration:
If the current PoC is above the previous PoC, use the Up PoC Color.
If the current PoC is below the previous PoC, use the Down PoC Color.
If unchanged, use the Flat PoC Color.
5) Connecting PoCs and labels
Once PoC prices and times are known:
Each PoC is connected to the previous one with a dotted line, using the PoC's color.
Optional labels are placed next to every Nth PoC:
Label text uses a simple "PoC N" scheme.
Label background uses a configurable label background color.
Label border is colored by the PoC's own color for visual consistency.
This turns the PoCs into a visual path that can be read like a "value trajectory" across the chart.
What it plots
When fully enabled, you will see:
A right-sided volume profile for the chosen lookback window, built from volume by price.
Colored horizontal bars representing each price bin's relative volume.
Optional volume text showing each bin's volume and its percentage of the profile maximum.
A series of PoC nodes spaced across the chart at the mid point of each segment.
Dotted lines connecting those PoCs to show the migration path of value.
Optional PoC labels at each Nth node for easier reference.
Color-coding of PoCs and lines either by EMA 12 / 21 trend regime or by up/down PoC drift.
Reading PoC migration and market pressure
Side profile as a pressure map
The side profile shows where trading has been most active:
Thick, opaque bars represent high volume zones and possible high interest or acceptance areas.
Thin, faint bars represent low volume zones, potential rejection or transition areas.
When price trades near a high volume bin, the market is sitting on an area of prior acceptance and size.
When price moves quickly through low volume bins, it often does so with less friction.
This gives you a static map of where the market has been willing to do business within your lookback.
PoC trail as a value migration map
The PoC chain represents "where value has lived" over time:
An upward sloping PoC trail indicates value migrating higher. Buyers have been willing to transact at increasingly higher prices.
A downward sloping trail indicates value migrating lower and sellers pushing the center of mass down.
A flat or oscillating trail indicates balance or rotational behaviour, with no clear directional acceptance.
Taken together, you can interpret:
Side profile as "where the volume mass sits", a static pressure field.
PoC trail as "how that mass has moved", the dynamic path of value.
Trend heatmap as a regime overlay
When PoCs are colored by the EMA 12 / 21 spread:
Green PoCs mark segments where the faster EMA is above the slower EMA, that is, a local uptrend regime.
Red PoCs mark segments where the faster EMA is below the slower EMA, that is, a local downtrend regime.
Gray PoCs mark flat or ambiguous trend segments.
This lets you answer questions like:
"Is value migrating higher while the trend regime is also up?" (trend confirming value).
"Is value migrating higher but most PoCs are red?" (value against the prevailing trend).
"Has value started to roll over just as PoCs flip from green to red?" (early regime transition).
Key settings
General Settings
Lookback Bars - how many bars back to use for both the global volume profile and segment profiles.
Number of Bins - how many price bins to split the high to low range into.
Profile Settings
Show Side Profile - toggle the right-hand volume profile on or off.
Profile Width (%) - how wide the largest volume bar is allowed to be in terms of bars.
Base Profile Color - the starting color for profile bars, with transparency.
Show Volume Values - if enabled, print volume and percent for each non-zero bin.
Profile Text Color - color for volume text inside the profile.
PoC Migration Settings
Show PoC Migration - toggle the PoC trail plotting.
Bars per Segment - the number of bars contained in each segment.
Number of Segments - how many segments to build backwards from the current bar.
Horizontal Spacing (bars) - spacing between PoC nodes when drawn. (Used to separate PoCs horizontally.)
Label Every Nth PoC - draw labels at every Nth PoC (0 or 1 to suppress labels).
Right Offset (bars) - horizontal offset to anchor the side profile on the right.
Up PoC Color - color used when a PoC is higher than the previous one, if trend heatmap is off.
Down PoC Color - color used when a PoC is lower than the previous one, if trend heatmap is off.
Flat PoC Color - color used when the PoC is unchanged, if trend heatmap is off.
PoC Label Background - background color for PoC labels.
Trend Heatmap Settings
Color PoCs By Trend (EMA 12 / 21) - when enabled, overrides simple up/down coloring and uses EMA-based trend colors.
Fast EMA - length for the fast EMA.
Slow EMA - length for the slow EMA.
Trend Up Color - color for PoCs in a bullish EMA regime.
Trend Down Color - color for PoCs in a bearish EMA regime.
Trend Flat Color - color for neutral or flat EMA regimes.
Trading applications
1) Value migration and trend confirmation
Use the PoC path to see if value is following price or lagging it:
In a healthy uptrend, price, PoCs, and trend regime should all lean higher.
In a weakening trend, price may still move up, but PoCs flatten or start drifting lower, suggesting fewer participants are accepting the new highs.
In a downtrend, persistent downward PoC migration confirms that sellers are winning the value battle.
2) Identifying acceptance and rejection zones
Combine the side profile with PoC locations:
High volume bins near clustered PoCs mark strong acceptance zones, good areas to watch for re-tests and decision points.
PoCs that quickly jump across low volume areas can indicate rejection and fast repricing between value zones.
High volume zones with mixed PoC colors may signal balance or prolonged negotiation.
3) Structuring entries and exits
Use the map to refine trade location:
Fade trades against value migration are higher risk unless you see clear signs of exhaustion or regime change.
Pullbacks into prior PoC zones in the direction of the current PoC slope can offer higher quality entries.
Stops placed beyond major accepted zones (clusters of PoCs and high volume bins) are less likely to be hit by random noise.
4) Regime transitions
Watch how PoCs behave as the EMA regime changes:
A flip in EMA 12 versus EMA 21, coupled with a turn in PoC slope, is a strong signal that value is beginning to move with the new trend.
If EMAs flip but PoC migration does not follow, the trend signal may be early or false.
A weakening PoC path (lower highs in PoCs) while trend colors are still green can warn of a late-stage trend.
Best practices
Start with a moderate lookback such as 200 to 300 bars and a moderate bin count such as 20 to 40. Too many bins can make the profile overly granular and sparse.
Align "Bars per Segment" with your trading horizon. For example, 5 to 10 bars for intraday, 10 to 20 bars for swing.
Use the profile and PoC trail as structural context rather than as a direct buy or sell signal. Combine with your existing setups for timing.
Pay attention to clusters of PoCs at similar prices. Those are areas where the market has repeatedly accepted value, and they often matter on future tests.
Notes
This is a structural volume tool, not a complete trading system. It does not manage execution, position sizing or risk management. Use it to understand:
Where the bulk of trading has occurred in your chosen window.
How the center of volume has migrated over time.
Whether that migration is aligned with or fighting the current trend regime.
By turning PoC evolution into a visible path and adding a trend-aware heatmap, the PoC Migration Map makes it easier to see how value has been moving, where the market is likely to feel "heavy" or "light", and how that structure fits into your trading decisions.
ONLY FOR EUR/USD : EMA9/EMA20 + RSI + MACD + Fibonacci (v6) FOR PAIRS WHICH HAS A MOMENTUM , trade only using manually not algo , use proper RR.
good luck
