Market Structure HighLow + Liquidity [MaB]📊 Market Structure HighLow + Liquidity A comprehensive indicator combining precision market structure analysis with real-time liquidity zone detection, built on a custom finite-state machine architecture.
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🎯 KEY FEATURES
• Automatic Swing Detection Identifies structural High/Low points using a dual-confirmation system (minimum candles + pullback percentage)
• Smart Trend Tracking Automatically switches between Uptrend (Higher Highs & Higher Lows) and Downtrend (Lower Highs & Lower Lows)
• Breakout Alerts Visual markers for confirmed breakouts (Br↑ / Br↓) with configurable threshold
• Sequential Labeling Clear numbered labels (L1, H2, L3, H4...) showing the exact market structure progression
• Color-Coded Structure Lines
• Green: Uptrend continuation legs
• Red: Downtrend continuation legs
• Gray: Trend inversion points
• Imbalance Zones (FVG) Automatically detects Fair Value Gaps that form during impulsive moves between validated swing points
• Inducement Zones Identifies potential liquidity traps - FVGs that form before breakout confirmation, often used as stop-hunt areas
• Dynamic Zone Management Zones automatically close when price touches them, with configurable retracement sensitivity
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🔬 TECHNICAL ARCHITECTURE
This indicator does NOT rely on TradingView's built-in ta.pivothigh() / ta.pivotlow() functions.
Instead, it implements a custom finite-state machine (FSM) that manages multiple monitoring states, alternating dynamically between Uptrend and Downtrend modes based on confirmed breakouts.
Core Components:
• State Machine Engine Multiple internal states handle candidate detection, validation, and confirmation phases. The system transitions between states based on price action triggers and confirmation criteria.
• Dual-Confirmation System Each swing point must satisfy two independent filters before validation:
o Time-based filter (minimum candles)
o Price-based filter (minimum retracement %)
• Directional Breakout Logic Separate breakout detection routines for uptrend continuation, downtrend continuation, and trend inversion scenarios. Each triggers specific state transitions.
• FVG Classification Engine Automatically distinguishes between Imbalance zones (post-confirmation FVGs) and Inducement zones (pre-confirmation FVGs) based on breakout timing context.
• Dynamic Zone Lifecycle Zones are created, monitored, and closed through a managed lifecycle with configurable touch sensitivity.
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⚙️ CONFIGURABLE PARAMETERS
Market Structure
• Analysis Start Date: Define when to begin structure analysis
• Min Confirmation Candles: Required candles for validation (default: 3)
• Pullback Percentage: Minimum retracement for confirmation (default: 10%)
• Breakout Threshold: Percentage beyond structure for breakout (default: 1%)
Liquidity
• Show Zones: Toggle visibility of imbalance and inducement zones
• Zone Colors: Customize colors for Supply/Demand imbalances and inducements
• Zone Retracement %: How deep price must enter zone to consider it touched (0-100%)
• Inactive Zones Transparency: Visual distinction for closed zones
Display
• Show Market Structure Table: Toggle info panel
• Replay Mode: Optimize for TradingView Replay feature
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🎨 ZONE COLOR CODING
• 🔴 Imbalance Supply (Red): Bearish FVG - potential resistance/short entry
• 🟢 Imbalance Demand (Green): Bullish FVG - potential support/long entry
• 🟠 Inducement Supply (Orange): Pre-breakout bearish FVG - possible stop-hunt zone
• 🔵 Inducement Demand (Blue): Pre-breakout bullish FVG - possible stop-hunt zone
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💡 HOW IT WORKS
1. Initializes state machine in UPTREND mode, searching for first swing Low
2. Tracks price movement and triggers candidate states upon potential reversals
3. Validates candidates through dual-confirmation (time + price filters)
4. Upon confirmation, scans price range for FVG patterns (3-candle gaps)
5. Classifies detected FVGs based on breakout timing (Inducement vs Imbalance)
6. Monitors breakout levels - triggers state transitions on confirmed breaks
7. Alternates between Uptrend/Downtrend modes based on breakout direction
8. Manages zone lifecycle - closes zones when price retraces into them
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🔧 BEST USED FOR
• Identifying key support/resistance levels with liquidity context
• Spotting potential reversal zones (imbalances)
• Avoiding stop-hunt traps (inducement awareness)
• Trend direction confirmation
• Breakout trading setups with confluence
• Multi-timeframe structure and liquidity analysis
• Understanding where institutional orders may be resting
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⚠️ NOTES
• Works best on higher timeframes (1H+) for cleaner structure
• Inducement zones often convert to Imbalance zones after breakout confirmation
• Zone Retracement % allows fine-tuning: 0% = first touch, 25% = quarter penetration, 100% = full traversal
• Inactive zones remain visible (faded) to show historical liquidity levels
• Use Replay Mode when backtesting to prevent buffer overflow errors
사이클
Crypto Market Sessions (Indian Time)Crypto Market Sessions (Indian Time) is a simple and clean indicator
designed for crypto traders who want to track major global market
sessions based on Indian Standard Time (UTC+05:30).
This indicator highlights the start and end of the following sessions:
• Asia Session
• UK / Europe Session
• USA Session
Each session start and end is marked with a vertical line and label,
making it easy to identify session breaks, market transitions,
and potential volatility periods.
Key Features:
• Indian Standard Time (IST) based session calculation
• Works on all crypto pairs and timeframes
• Clearly marks session start and end points
• No repainting
• Lightweight and easy to use
• Suitable for intraday and swing traders
This indicator does not use any future data and works in real time,
making it safe for live trading and analysis.
If you want any updates, improvements, or custom changes, you can contact me through my TradingView profile .
50-Point Psych Levels (Multiples of 50)50-Point Psychological Levels (Multiples of 50)
This indicator plots static psychological price levels at fixed point intervals (default every 50 points) across the chart. These levels are commonly watched by traders as natural areas of reaction, balance, support, and resistance, especially on index futures such as NQ, ES, YM, and RTY.
The script automatically centers the levels around the current market price and draws them across a configurable range above and below price. All levels extend across the entire chart and are drawn once only, keeping the display clean and preventing redraw lag.
Key Features
Plots horizontal levels at fixed point spacing (default: 50 points)
Automatically anchors around the latest price
Configurable range above and below price
Customizable line color, width, and style
Lightweight, non-repainting, static reference levels
Best Use Cases
Identifying psychological support and resistance
Confluence with VWAP, EMA structure, ORB levels, and volume
Futures trading (NQ, ES, YM, RTY), indexes, and large-tick instruments
Highlighted Range (3 Sessions)3 session customizable range. All one color customizable for simplicity.
BTC - VDD Multiple (Approx)Overview & Philosophy
⚠️ Note: This indicator is optimized for the Daily (1D) Timeframe. Please switch your chart to 1D for accurate signal reading.
The BTC – VDD Multiple (Approx) is an advanced oscillator designed to identify market overheating and cycle tops by analyzing the velocity of value moving through the market.
In traditional On-Chain Analysis, Value Days Destroyed (VDD) is a premier metric for spotting macro tops. It multiplies the coin age (how long a coin was held) by the price at which it was moved. When old coins (HODLer money) move at high prices, VDD spikes, signaling massive profit-taking.
The Problem: Real "Coin Days Destroyed" (CDD) data is typically locked behind institutional paywalls or unavailable on standard TradingView plans.
The Solution: This script calculates a Deterministic Proxy. By analyzing the relationship between Exchange Volume, Price, and a Dormancy Constant, we can approximate the structure of the VDD Multiple without needing a premium data feed.
Methodology
The VDD Multiple works by comparing short-term market velocity against a long-term baseline.
1. The Proxy Calculation
Since we cannot directly access the age of coins on TradingView, we model the economic weight of the move:
Proxy Value = Exchange Volume * Price * Dormancy Factor
This creates a synthetic representation of "Value Throughput."
2. The Multiple
We compare the immediate heat of the market against the yearly trend:
• Short-Term MA (2 Days): Captures flash spikes and sudden liquidity exit events.
• Long-Term MA (365 Days): Represents the baseline "hum" of network activity.
VDD Multiple = Short Term MA / Long Term MA
How to Read the Chart
The indicator plots the Multiple as a line and uses background highlighting to signal extreme regimes.
🔴 The Red Zone (Overheated > 2.9)
Meaning: Current value transfer is ~3x higher than the yearly average.
Interpretation: Historically, sharp spikes into the Red Zone correlate with Local or Cycle Tops. This indicates that massive volume is changing hands at high prices—typically a sign of "Smart Money" distributing into "Dumb Money" FOMO.
Note: In strong bull runs, price can push higher even after a VDD spike, but the risk/reward ratio is extremely poor here.
🟢 The Green Zone (Undervalued < 0.75)
Meaning: Market activity is quiet and below the yearly baseline.
Interpretation: These are periods of apathy or accumulation. Historically, extended time spent in the Green Zone (the "flatline") has offered the best asymmetric buying opportunities.
🟠 The Orange Line (Neutral)
Meaning: The market is in transition or equilibrium.
Strategy & Context
This indicator is best used as a Macro Cycle Tool, not a day-trading signal.
• Exit Strategy: Look for "Clusters" of Red Spikes. A single spike often marks a local correction, but a cluster of intense spikes while price makes new highs (Divergence) is a strong Cycle Top warning.
• Entry Strategy: Historically the best entries occur when the indicator flattens out in the Green Zone for weeks or months. This suggests sellers are exhausted and the market has reached a floor.
Credits
This script is an approximation of the original VDD Multiple concept. Full credit for the underlying on-chain theory goes to the pioneers of this metric:
• Concept: The original Value Days Destroyed metric was popularized by Hans Hauge and Glassnode.
• The Multiple: The specific application of a Short/Long MA Multiple on VDD is widely attributed to analysts like TXMC and Bitbo.
This script adapts these concepts for the free TradingView environment using exchange volume proxies.
Settings
• Data Source: Defaults to BINANCE:BTCUSDT to capture high-volume liquidity.
• Short MA: Default is 2 Days to capture rapid velocity spikes.
• Long MA: Default is 365 Days to track the annual trend.
Disclaimer
This tool is an approximation based on exchange volume, not raw blockchain data. While exchange volume and on-chain volume are highly correlated during cycle extremes, they are not identical. This script is for educational and research purposes only. Past performance does not guarantee future results.
Tags
bitcoin, btc, onchain, vdd, cdd, valuation, cycle, top, bottom, Rob Maths
One-Sided Hodrick-Prescott FilterTechnical & Mathematical Architecture
This indicator represents a significant departure from standard Moving Averages or traditional Hodrick-Prescott (HP) filter implementations found on Trading View. It utilizes a State-Space Model approach to decompose time-series data into trend and cyclical components, solved recursively via a Kalman Filter (Forward Pass) and a Rauch-Tung-Striebel (RTS) Smoother (Backward Pass). Furthermore, it introduces a proprietary Maximum Likelihood Estimation (MLE) loop to adapt the smoothing parameter (λ) dynamically in response to market regimes.
1.1 The State-Space Formulation
The standard HP filter minimizes a specific loss function involving the sum of squared deviations and the sum of squared second differences. While typically solved via batch matrix inversion, this script reformulates the problem as a Local Linear Trend (LLT) model, a stochastic structural model defined by:
Measurement Equation:
y = μ + ε
(Where ε is normally distributed noise)
State Transition Equations:
μ = μ + β + η
β = β + ζ
Where μ represents the stochastic level (trend) and β represents the stochastic slope (drift). The crucial link to the HP filter is the signal-to-noise ratio. By setting the variance of η to 0 (smooth trend) and defining λ as the ratio of measurement variance to slope variance, the Kalman Filter solution converges exactly to the One-Sided HP Filter.
1.2 The Forward Pass: Kalman Filter
The script executes a recursive estimation loop for real-time (causal) filtering:
Prediction Step: Projects the state mean and error covariance forward based on the transition matrix.
Innovation: Calculates the measurement residual (v = y - predicted y).
Update Step: Computes the Kalman Gain. The posterior state is updated based on how much the prediction missed the actual price.
Stability: The covariance update utilizes the Joseph Form subtraction to ensure the covariance matrix remains positive semi-definite, preventing numerical instability inherent in high-precision floating-point calculations over long durations.
1.3 Adaptive λ via Maximum Likelihood
Standard filters use a static λ (e.g., 1600 for quarterly data), which fails in crypto/FX markets exhibiting changing volatility. This script implements an Adaptive ML Loop.
The Kalman Filter assumes innovations are normally distributed with a specific theoretical variance (S). We compute a running variance ratio test:
Ratio = Actual Innovation Variance / Theoretical Variance
Ratio > 1: The model is "surprised" by volatility. The filter is under-fitting. The script dynamically decreases λ to increase responsiveness (reduce lag).
Ratio < 1: The model is over-fitting noise. The script increases λ to enforce a smoother trend.
This allows the filter to function as a low-lag trend follower during impulses and a robust noise filter during consolidation, automatically.
1.4 The Backward Pass: Rauch-Tung-Striebel (RTS) Smoother
This is the most complex feature of the script. While the Forward Pass provides the optimal estimate based on past data, the Backward Pass computes the optimal estimate based on all data.
The RTS algorithm runs purely on historical arrays stored in memory:
It iterates backward from the last bar to the past. It computes a "Smoother Gain" matrix based on future information. It updates the past estimates to correct them based on what happened afterwards. This results in a Minimum Mean Squared Error (MMSE) estimator. Note: This smoothed line is for analytical hindsight and back testing theoretical limits; it is distinct from the real-time filtered line used for live signaling.
Usage Guide:
This indicator is designed for precision trend following and mean-reversion trading. It separates the market price into a Trend Component (Signal) and a Cycle Component (Noise/Oscillation).
The Two Trend Lines:
The Filtered Trend (Real-Time): This is the filled/shaded line on your chart. It calculates the trend using only past data. It does not repaint. Use this for entering and exiting live trades.
Green Fill: Price is above the trend (Bullish bias).
Red Fill: Price is below the trend (Bearish bias).
The Smoothed Trend (Hindsight): (Optional, enabled via settings). This is the "God mode" line. It uses future data to show you exactly where the trend was.
WARNING: This line repaints. Do not trade the tip of this line. Its purpose is to show you the ideal path for training your eye or optimizing parameters.
Mean Reversion Signals:
The script calculates the "Cycle," which is the percentage deviation of price from the HP Trend.
Bands: The Upper and Lower bands represent the Cycle Threshold.
Long Signal (L): Triggered when the Cycle is Oversold (below lower band) AND begins to turn up, while the Filtered Drift (slope) is positive. This suggests a "dip buy" in an uptrend.
Short Signal (S): Triggered when the Cycle is Overbought (above upper band) AND begins to turn down, while the Filtered Drift is negative. This suggests selling a rally in a downtrend.
Adaptive Lambda Panel:
Enable the "Lambda Panel" to see the engine under the hood.
Rising Lambda (Blue): The market is noisy or consolidating. The filter is becoming "stiffer" to ignore the chop.
Falling Lambda (Orange): The market is trending impulsively. The filter is becoming "looser" to track the price closely and reduce lag.
Strategy: You can use low Lambda values as a confirmation of high-volatility breakout regimes.
Performance Table:
A dashboard in the bottom right corner displays the efficiency of the Kalman Filter:
MSE Filtered vs. Smoothed: Shows the Mean Squared Error of the real-time prediction vs. the hindsight-optimal smooth.
Improvement %: A higher percentage indicates that the RTS Smoother is extracting significantly more noise than the real-time filter (common in choppy markets).
Kalman Gains (K1, K2): These display the current weight the filter assigns to new price data for updating the Level and Slope respectively.
Summary of Settings
Base Lambda: The starting stiffness. Higher = smoother (long-term trend). Lower = responsive (short-term trend).
Adaptation Speed: Recommended between 0.01 and 0.05. Controls how fast λ reacts to volatility shocks.
Smoother Lookback: How far back (in bars) the RTS algorithm re-optimizes the historical line.
Best Practice: Use the Filtered Trend for execution. Use the Smoothed Trend to analyze past price action and determine if your Base Lambda setting is appropriate for the asset's volatility profile.
Dipy the MFT Super OscillatorDipy the MFT Super Oscillator
A multi-timeframe bandpass oscillator for mean-reversion and "buy the dip" strategies.
🎯 What It Does
Isolates market cycles within a specific frequency range to identify overbought/oversold conditions and reversal points.
⏱️ Multi-Timeframe
Set Signal Timeframe to calculate signals on higher TF while viewing lower TF chart. Example: 5min chart + 1H signals = noise reduction with precise timing.
⚙️ Key Settings
Bandwidth/BandEdge: Define the cycle range to capture
Cloud Type: None for thresholds, others for consensus cloud
Thresholds: Overbought/oversold levels for signals
💡 Best Use
Combine with trend indicator (only buy dips in uptrend)
Higher Signal Timeframe = cleaner signals
Cloud mode = more conservative entries
🔔 Alerts
Create ONE alert for all signals.
Derived from TASC 2025.04 Ultimate Oscillator by John Ehlers.
Key Levels: Volume Profile POCProfessional Intraday Key Levels (CST)
This is a comprehensive, institutional-grade Pine Script indicator designed for intraday traders (Futures, Stocks, Options) operating in the Central Time Zone. It automatically plots the most significant support and resistance levels used by algorithms and professional desks.
1. Core Levels Monitored
Daily Levels: Previous Day High (PDH), Low (PDL), Open, Close, and the 50% Midpoint (Equilibrium).
Volume Profile POC: Unlike standard indicators that use a simple average, this calculates the Volume Weighted Average Price (VWAP) of the previous day to determine the true "Fair Value" or Point of Control. Plotted with a thicker, distinct purple line.
Weekly Magnets: Previous Week High (PWH) and Low (PWL), which often act as major targets for breakouts or reversals.
Pre-Market Data: Tracks the High and Low established between 03:00 AM – 08:30 AM CST.
Opening Range (OR): Automatically captures the High and Low of the first 60 minutes of the regular session (08:30 AM – 09:30 AM CST).
2. Smart Visualization Features
Anti-Overlap Labels: If two levels (e.g., Pre-Market High and Previous Day High) are within 0.02% of each other, the script automatically merges them into a single label (e.g., "PDH & Pre-Market High") to prevent chart clutter.
Source Tracing: Trace lines extend backward from the current price level to the exact candle where that High or Low was formed (for Pre-Market and Opening Range levels), giving you instant context on when the level was created.
Clean Readability: Labels are displayed in bold, solid text without price numbers, ensuring a clean chart that focuses on level identification rather than data overload.
3. Technical Precision
Time Zone Locked: Hardcoded to America/Chicago to ensure Pre-Market and Opening Range calculations remain accurate regardless of your local computer settings.
Non-Repainting: Daily and Weekly levels are locked using closed-candle data (lookahead_on), ensuring lines do not shift during the trading day.
Buffer Safe: Optimized drawing logic prevents historical buffer errors, even on lower timeframes (1m/5m).
4. Customization
Toggle Everything: Every single level has an individual "Show/Hide" checkbox in the settings.
Label Sizing: Adjustable text size (Tiny to Huge) and offset positioning.
Compact Mode: Option to switch between full names ("Previous Day High") and abbreviations ("PDH").
Premium Volume Divergence Signals [Stansbooth]Advanced Divergence Indicator
This indicator is designed to uncover the hidden relationship between price action and momentum. By accurately detecting when price and momentum move in different directions, it highlights bullish and bearish divergences at critical market points — often before reversals or strong continuations occur.
🔹 Key Features:
Precise detection of Regular and Hidden Divergence
Helps identify early market reversals
Clean, clear, and easy-to-read visual signals
Works across Forex, Crypto, and Stock markets
Suitable for all timeframes and trading styles
This indicator empowers traders to make smarter entries, confident exits, and better risk management decisions. Instead of chasing the market, it allows you to anticipate price movement with confidence.
Trade smarter, not harder — let divergence reveal the real market strength.
MR.Mix Market Context
MR.Mix هو نظام تحليل سياقي مبني على الجلسات، تم تطويره لدعم منهجية تداول خاصة تحمل نفس الاسم (MR.Mix).
لا يُعد هذا المؤشر دمجًا لمؤشرات مستقلة، بل إطارًا تحليليًا واحدًا يتم فيه تنسيق عدة مكوّنات داخلية للعمل معًا وفق منطق موحّد يعتمد على بنية الجلسات، سلوك السعر، واستجابة الزخم.
يعمل المؤشر كأداة تحليلية مساعدة للاستراتيجية، حيث يركّز على قراءة سياق السوق وتأكيد الحالات التي تعتمد عليها المنهجية، دون توليد إشارات تداول مباشرة أو وعود أداء.
الوظائف الرئيسية:
• تحديد افتتاح جلسة نيويورك ورسم مستويات مرجعية مشتقة من الجلسة
• تصور نطاق ما قبل الافتتاح مع تتبع القمم والقيعان بشكل تراكمي
• عرض هياكل RSI والفوليوم مدمجة داخل الشارت ومقاسة نسبةً إلى النطاق السعري الظاهر
• متوسط متحرك EMA مع خيارات تنعيم تكيفية ونطاقات تذبذب اختيارية
• جميع العناصر البصرية تُعرض بناءً على شروط سياقية وليست مرسومة بشكل ثابت
تمت حماية كود المؤشر لاعتماده على تنسيق داخلي خاص بين توقيت الجلسات، التحجيم التكيفي، ومنطق العرض الشرطي، وهو تصميم لا يمكن إعادة إنتاجه بدقة باستخدام مؤشرات Pine المفتوحة دون كشف البنية الداخلية.
شرح العناصر على الرسم البياني:
• الخطوط الأفقية تمثل مستويات مرجعية مشتقة من الجلسات
• الخطوط العمودية تشير إلى انتقالات الجلسات
• المناطق المظللة توضح نطاقات ما قبل الافتتاح
• صناديق RSI والفوليوم المدمجة تعكس الزخم والمشاركة ضمن النطاق السعري الظاهر فقط
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MR.Mix is a session-based market context system developed to support a proprietary trading methodology under the same name (MR.Mix).
This script is not a compilation of standalone indicators. It is a unified analytical framework where multiple internal components are coordinated to operate under a single logic focused on session structure, price behavior, and momentum response.
The indicator functions as a supportive analytical tool for the methodology by providing market context and condition confirmation, without generating direct trading signals or performance claims.
Key features:
• New York session open detection with session-derived reference levels
• Pre-market range visualization with cumulative high/low tracking
• Embedded RSI and Volume structures rendered directly on the price chart and scaled relative to the visible price range
• EMA with optional adaptive smoothing and volatility bands
• All visual elements are condition-driven and context-aware rather than continuously plotted
The script is protected because it relies on proprietary coordination between session timing, adaptive scaling, and conditional rendering logic that cannot be accurately replicated using standard open-source Pine indicators without exposing internal structure.
Chart elements:
• Horizontal lines represent session-derived reference prices
• Vertical lines mark session transitions
• Shaded areas define pre-market price boundaries
• Embedded RSI and Volume boxes reflect momentum and participation within the visible range only
MR.MixMarket Context
MR.Mix هو نظام تحليل سياقي مبني على الجلسات، تم تطويره لدعم منهجية تداول خاصة تحمل نفس الاسم (MR.Mix).
لا يُعد هذا المؤشر دمجًا لمؤشرات مستقلة، بل إطارًا تحليليًا واحدًا يتم فيه تنسيق عدة مكوّنات داخلية للعمل معًا وفق منطق موحّد يعتمد على بنية الجلسات، سلوك السعر، واستجابة الزخم.
يعمل المؤشر كأداة تحليلية مساعدة للاستراتيجية، حيث يركّز على قراءة سياق السوق وتأكيد الحالات التي تعتمد عليها المنهجية، دون توليد إشارات تداول مباشرة أو وعود أداء.
الوظائف الرئيسية:
• تحديد افتتاح جلسة نيويورك ورسم مستويات مرجعية مشتقة من الجلسة
• تصور نطاق ما قبل الافتتاح مع تتبع القمم والقيعان بشكل تراكمي
• عرض هياكل RSI والفوليوم مدمجة داخل الشارت ومقاسة نسبةً إلى النطاق السعري الظاهر
• متوسط متحرك EMA مع خيارات تنعيم تكيفية ونطاقات تذبذب اختيارية
• جميع العناصر البصرية تُعرض بناءً على شروط سياقية وليست مرسومة بشكل ثابت
تمت حماية كود المؤشر لاعتماده على تنسيق داخلي خاص بين توقيت الجلسات، التحجيم التكيفي، ومنطق العرض الشرطي، وهو تصميم لا يمكن إعادة إنتاجه بدقة باستخدام مؤشرات Pine المفتوحة دون كشف البنية الداخلية.
شرح العناصر على الرسم البياني:
• الخطوط الأفقية تمثل مستويات مرجعية مشتقة من الجلسات
• الخطوط العمودية تشير إلى انتقالات الجلسات
• المناطق المظللة توضح نطاقات ما قبل الافتتاح
• صناديق RSI والفوليوم المدمجة تعكس الزخم والمشاركة ضمن النطاق السعري الظاهر فقط
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MR.Mix is a session-based market context system developed to support a proprietary trading methodology under the same name (MR.Mix).
This script is not a compilation of standalone indicators. It is a unified analytical framework where multiple internal components are coordinated to operate under a single logic focused on session structure, price behavior, and momentum response.
The indicator functions as a supportive analytical tool for the methodology by providing market context and condition confirmation, without generating direct trading signals or performance claims.
Key features:
• New York session open detection with session-derived reference levels
• Pre-market range visualization with cumulative high/low tracking
• Embedded RSI and Volume structures rendered directly on the price chart and scaled relative to the visible price range
• EMA with optional adaptive smoothing and volatility bands
• All visual elements are condition-driven and context-aware rather than continuously plotted
The script is protected because it relies on proprietary coordination between session timing, adaptive scaling, and conditional rendering logic that cannot be accurately replicated using standard open-source Pine indicators without exposing internal structure.
Chart elements:
• Horizontal lines represent session-derived reference prices
• Vertical lines mark session transitions
• Shaded areas define pre-market price boundaries
• Embedded RSI and Volume boxes reflect momentum and participation within the visible range only
Daily & Pre-Market Key Levels (v5)Plots:
- Today's high/low
- Pre-market High/Low
- Yesterday's high/low/close
- Day before yesterday high/low
Opposite Candle Break Finder version 1 This is a simple indicator which detects last candle that was engulfed by the close of the opposite color candle - Bear in mind you need to wait till the candle is closed
feel free to ask me for the code since I am not a professional coder at all any coder wants update it they feel free to contact me. at Adel4traders@gmail.com
Pivot Points High LowGaneshA Pivot Points High/Low indicator that:
Detects swing highs (ta.pivothigh) and swing lows (ta.pivotlow) using configurable left/right bar lengths.
Draws labels at the confirmed pivot points:
Down labels at pivot highs (potential resistance).
Up labels at pivot lows (potential support).
Lets you customize text color and label fill color separately for highs and lows.
It’s designed for overlay (on-price chart), with max_labels_count=500 to allow many labels.
GMMA fill (v5) + Golden Crossover HighlightsGMMA Fill (v5) + Golden Crossover Highlights
This setup combines the Guppy Multiple Moving Average (GMMA) Fill version 5 with Golden Crossover signals to identify strong trend continuation and potential breakout points. GMMA provides layered moving averages for short- and long-term trend analysis, while the Golden Crossover highlights bullish momentum shifts, making it ideal for spotting entry opportunities in trending markets.
STOC DMA Ribbon, Trend, Volume & Structure Dashboard v1.5This indicator is the intellectual property of Systematic Traders Club.
Distribution, modification, or commercial use without permission is prohibited.
This indicator is provided for educational and informational purposes only.
It does not constitute financial advice, investment recommendations, or trade signals.
The creator and Systematic Traders Club are not responsible for any financial losses resulting from the use of this indicator.
Trading and investing involve risk. Always do your own analysis and use proper risk management.
My RSI Fib Range Cloud//SOLO900q99This is basically the close price, optionally “stepped” if you set Bars Per Sample > 1.
2. Central Threshold Band (colored line)
• This is an EMA of the resampled price (default length 34).
• It turns:
• Green when RSI is in bullish fib zones,
• Pink when RSI is in bearish fib zones,
• Grey when RSI is in the middle/neutral area.
3. Sigma Range High (green line) and Sigma Range Low (pink line)
• These are an upper and lower band around price.
• The distance from price is based on how much price has been moving recently (average change).
GARCH Adaptive Volatility & Momentum Predictor
💡 I. Indicator Concept: GARCH Adaptive Volatility & Momentum Predictor
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The GARCH Adaptive Momentum Speed indicator provides a powerful, forward-looking
view on market risk and momentum. Unlike standard moving averages or static
volatility indicators (like ATR), GARCH forecasts the Conditional Volatility (σ_t)
for the next bar, based on the principle of volatility clustering.
The indicator consists of two essential components:
1. GARCH Volatility (Level): The primary forecast of the expected magnitude of
price movement (risk).
2. Vol. Speed (Momentum): The first derivative of the GARCH forecast, showing
whether market risk is accelerating or decelerating. This component is the
main visual signal, displayed as a dynamic histogram.
⚙️ II. Key Features and Adaptive Logic
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* Dynamic Coefficient Adaptation: The indicator automatically adjusts the GARCH
coefficients (α and β) based on the chart's timeframe (TF):
- Intraday TFs (M1-H4): Uses higher α and lower β for quicker reaction
to recent shocks.
- Daily/Weekly TFs (D, W): Uses lower α and higher β for a smoother,
more persistent long-term forecast.
* Momentum Visualization: The Vol. Speed component is plotted as a dynamic
histogram (fill) that automatically changes color based on the direction of
acceleration (Green for up, Red for down).
📊 III. Interpretation Guide
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- GARCH Volatility (Blue Line): The predicted level of market risk. Use this to
gauge overall position sizing and stop loss width.
- Vol. Speed (Green Histogram): Momentum is ACCELERATING (Risk is increasing rapidly).
A strong signal that momentum is building, often preceding a breakout.
- Vol. Speed (Red Histogram): Momentum is DECELERATING (Risk is contracting).
Indicates momentum is fading, often associated with market consolidation.
🎯 IV. Trading Application
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- Breakout Timing: Look for a strong, high GREEN histogram bar. This suggests
the volatility pressure is increasing rapidly, and a breakout may be imminent.
- Consolidation: Small, shrinking RED histogram bars signal that market energy
is draining, ideal for tight consolidation patterns.
Ingenuity Crazy Strategy Advance IntraThis indicator works — IF you use it correctly.
Wrong settings = bad results.
That’s why we keep:
🔥 The exact settings
🔥 Market-specific presets
🔥 Live trade examples
INSIDE OUR DISCORD ONLY.
🚫 Do not guess
🚫 Do not freestyle settings
👉 Join the Discord and trade it the way it’s meant to be traded.
discord.gg
Day of WeekDay of Week is an indicator that runs in a separate panel and colors the panel background according to the day of the week.
Main Features
Colors the background of the lower panel based on the day of the week
Includes all days, from Monday to Sunday
Customizable colors
Time Offset Correction
TradingView calculates the day of the week using the exchange’s timezone, which can cause visual inconsistencies on certain symbols.
To address this, the indicator includes a configurable time offset that allows the user to synchronize the calculated day with the day displayed on the chart.
By simply adjusting the Time Offset (hours) parameter, the background will align correctly with the visible chart calendar.
Multi-Trend + Credit Risk DashboardHello This is showing 20,50,200 as well as some other useful indicators. hope you like it, its my first! D and P is discount or premium to nav
GLOBAL TRADERS SYSTEMO indicador mede o apetite a risco do mercado ou proteção. Deve ser usado em índices americanos.






















