Wyckoff NTA InstitutionalWyckoff NTA - Institutional Context Engine
by NexTrade Academy
Wyckoff NTA is an advanced market analysis script developed by NexTrade Academy, designed to identify and quantify the true institutional market context, based on the classic Wyckoff methodology adapted into a modern algorithmic framework.
This script is NOT a signal system and does not aim to provide exact entry or exit points. Its purpose is to act as a context engine, helping traders understand WHEN the market is operable and IN WHICH DIRECTION it makes sense to look for opportunities.
What does Wyckoff NTA do?
Wyckoff NTA analyzes price, volume, and volatility behavior to:
• Identify institutional Wyckoff phases
Accumulation, Distribution, Markup, Markdown, Reaccumulation, Redistribution
• Detect key institutional intent events
Spring, Upthrust, Sign of Strength, Sign of Weakness
• Calculate a Wyckoff Dynamic Score (0-100) that measures the operability of the current market context
• Provide a clean, objective reading of market bias with minimal visual noise
Wyckoff Dynamic Score (0-100)
The dynamic score summarizes the quality of the current market context:
• Below 40: Non-operable context
• 40 to 60: Weak context (A+ setups only)
• 60 to 80: Operable context
• Above 80: Strong institutional context
This score does not trigger trades. It enables or blocks decisions.
Visualization Modes
Wyckoff NTA includes three modes designed for different use cases:
• DESK: Professional execution (minimal, no noise)
• PRO: Active trading with visual context
• EDU: Educational and learning-focused analysis
NexTrade Academy Philosophy
The market does not move because of indicators. It moves due to institutional intent.
Wyckoff NTA is designed for traders who prioritize context, probability, and discipline, and integrates naturally with execution systems such as NTC (NexTrade Concept).
Important Notice
This script does not guarantee results, is not an automated system, and does not constitute investment advice. It should be used strictly as a contextual analysis tool, always alongside a defined trading plan and proper risk management.
Recommended Use
Use Wyckoff NTA to:
• Define overall market context
• Confirm the operable directional bias
• Execute trades only when setups align with that context
Developed by NexTrade Academy
Institutional Trading · Market Structure · Context First
מחזורים
Weekly Daily DividersSimple indicator that plots both Weekly Dividers at 18:00 New York time as Daily Dividers at 00:00 New York time
Volume DI Diff + ADX Coloreado por AOInterpretationIf +DI > -DI (positive DI+ - DI- difference) → Upward trend pressure (bullish signal).
If -DI > +DI (negative DI+ - DI- difference) → Downward trend pressure (bearish signal).
Crossovers between +DI and -DI generate buy/sell signals, often filtered by ADX for reliability.
This setup is widely used in technical analysis to identify trending markets and avoid whipsaws in ranging conditions. It's part of the broader Average Directional Movement System (ADX/DMI).
Key ComponentsADX line: Measures overall trend strength (non-directional).
+DI line: Strength of upward movement.
-DI line: Strength of downward movement.
Trend direction is determined by which DI line is dominant:+DI > -DI: Bullish trend (upward pressure).
-DI > +DI: Bearish trend (downward pressure).
Crossovers between +DI and -DI can signal potential trend changes, but they are most reliable when ADX confirms sufficient strength.ADX Trend Strength Levels (Common Interpretations)ADX Value
Trend Strength
Recommendation
0–20
Weak or no trend (ranging/sideways market)
Avoid trend-following strategies; consider range-bound or oscillator-based trades.
20–25
Emerging or moderate trend (gray zone)
Monitor for confirmation; potential start of trend.
25–50
Strong trend
Ideal for trend-following strategies (e.g., moving averages, breakouts).
50–75
Very strong trend
High momentum; good for riding trends, but watch for exhaustion.
75–100
Extremely strong trend (rare)
Often overextended; risk of reversal or correction.
Rising ADX: Trend is strengthening.
Falling ADX: Trend is weakening (even if still high).
ORB Pro: Sniper Edition [Hybrid Scanner + Smart Ranking]الوصف (Description):
🚀 ORB Pro: Sniper Edition – The Ultimate Day Trading System
The ORB Pro: Sniper Edition is not just an indicator; it is a complete algorithmic trading system designed for scalpers and day traders who trade the Opening Range Breakout (ORB) strategy.
This edition features a revolutionary "Hybrid Scanner" with "Smart Opportunity Ranking" logic that prioritizes fresh signals over old ones, ensuring you never miss a breakout.
🔥 Key Features:
Hybrid Scanner System:
Manual Mode: Monitor your own top 5 favorite stocks.
Auto Scanner Mode: Automatically scans a pre-defined list of Top 20 High-Momentum Stocks (TSLA, NVDA, AMD, COIN, MSTR, etc.) inside the code.
🧠 Sniper Ranking Logic (The Game Changer): Unlike standard scanners that show static lists, this system sorts stocks dynamically in the table based on opportunity:
🥇 Priority 1: Fresh Breakouts (RUN 🚀) that haven't hit targets yet (The Entry Zone).
🥈 Priority 2: Winning Trades (WIN ✅) that already hit targets.
🥉 Priority 3: Weak or Stopped out trades.
Advanced Strategy Logic:
Fibonacci Targets: Precision exits at 1.618, 2.0, 2.618, and 3.618 extensions.
Smart Reversal: Detects "Fakeouts" and flips the signal immediately (e.g., from CALL to PUT) to catch institutional traps.
Trend Filtering: Uses EMA 50 to filter out low-probability trades.
Risk Management:
Auto Breakeven: Moves stop-loss to entry after Target 1.
Trailing Stop: Dynamic stop-loss that follows the price action.
⚙️ How to Use:
Add the indicator to a 5-minute chart.
Go to Settings > Table System > Select "Auto Scanner".
Watch the table: Focus on the top rows showing "RUN 🚀". These are your live entry signals!
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🚀 مؤشر القناص: ORB Pro Sniper Edition – نظام المضاربة اللحظية المتكامل
يعتبر هذا المؤشر نظاماً آلياً متطوراً للمضاربين اللحظيين (Scalpers/Day Traders) يعتمد على استراتيجية كسر نطاق الافتتاح (ORB) الشهيرة، ولكنه معزز بخوارزميات ذكية لتصفية الفرص.
يتميز هذا الإصدار بوجود "ماسح هجين" (Hybrid Scanner) ونظام "تصنيف ذكي" يعطيك الزبدة ويعرض لك الفرص الحية فور حدوثها.
🔥 أهم المميزات:
نظام الماسح الهجين (Hybrid Scanner):
الوضع اليدوي (Manual): لمراقبة قائمتك الخاصة (5 أسهم تختارها أنت).
الماسح الآلي (Auto Scanner): يقوم المؤشر بمسح فوري لقائمة مدمجة تضم أقوى 20 سهم سيولة ومضاربة في السوق الأمريكي (مثل TSLA, NVDA, MSTR, COIN, وغيرها).
🧠 خوارزمية "القناص" للترتيب (Sniper Ranking): الجدول لا يعرض الأسهم عشوائياً، بل يركز على الفرصة الحالية:
🥇 الأولوية القصوى: للأسهم التي أعطت إشارة دخول (RUN 🚀) ولم تحقق الهدف بعد (هذه هي منطقة الدخول الذهبية).
🥈 الأولوية الثانية: للأسهم التي حققت أهدافها (WIN ✅).
🥉 الأولوية الأخيرة: للأسهم المتذبذبة أو الخاسرة.
دقة فنية عالية:
أهداف فيبوناتشي: تحديد آلي لأهداف جني الأرباح (1.618، 2.0، 2.618).
كشف الانعكاس (Reversal): يكتشف الاختراقات الكاذبة (Fakeouts) ويقلب الإشارة فوراً للدخول مع صناع السوق.
فلتر الترند: يستخدم متوسط 50 لمنع الدخول عكس الاتجاه العام.
إدارة المخاطر:
تأمين الصفقة (Breakeven): يرفع الوقف لسعر الدخول تلقائياً بعد تحقق الهدف الأول.
الوقف المتحرك: يلاحق الأرباح للحفاظ عليها.
⚙️ طريقة الاستخدام:
ضع المؤشر على فريم 5 دقائق.
من الإعدادات، اختر نظام الجدول "Auto Scanner".
راقب الجدول: ركز نظرك على الأسهم التي تظهر في أعلى القائمة بحالة "RUN 🚀".
⚠️ Disclaimer / إخلاء مسؤولية: This tool is for educational and analytical purposes only. Trading involves significant risk. Always manage your risk properly. هذه الأداة للأغراض التعليمية والتحليلية فقط. التداول ينطوي على مخاطر عالية.
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
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
[Algo/Fract] Quant+Built for traders ready to Level Up.
Combine algorithmic strength tracking with fractal structure to deliver quant-style clarity on a live chart.
You trade with intuition. Quant trades with Data.
Together, you read the Unseen.
Quant+ is the second component of the AlgoFract Quant Suite.
Features included are:
Quant Cycles & Ghost Cycle (QC)
Custom Volume Spread (VS)
Volume Flow (VF)
Gain Access at: www.algofract.com
or by visiting our Whop Marketplace: whop.com
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.
PFA Regime & Structure EnginePFA बाज़ार दर्शन™ is a proprietary market regime and structure indicator designed to provide traders with a comprehensive view of market dynamics. Unlike traditional indicators that focus solely on price direction, this tool evaluates both momentum and structural context to determine the underlying market condition.
It calculates a Regime Score (0–100) by combining momentum energy from MACD pivots, fast and slow structural pivots, and market stress factors. Based on this score, the market is classified into actionable regimes such as Trend Dominant, Selective Phase, or Capital Protection.
The indicator features a live dashboard showing the current regime and score, along with visual structural zones directly on the chart. It acts as an early-warning system for potential market transitions, helping traders manage risk, identify high-probability trend phases, and make informed position-sizing decisions.
Disclaimer: PFA बाज़ार दर्शन™ is for analytical and educational purposes only. It does not provide buy/sell signals or guarantee future performance. Users should combine it with their own trading strategy, risk management, and confirmation tools.
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.
PFA_Cumulative VolumeComplex Technical Summary – PFA_Cumulative Volume Indicator
The PFA_Cumulative Volume indicator implements a session-normalized volume aggregation framework that conditionally resets at each daily time boundary, thereby isolating intraday participation dynamics from multi-day carryover noise. By cumulatively summing raw traded volume from the session open, the script constructs a real-time proxy for directional conviction and liquidity absorption across the trading day.
In parallel, the indicator captures the immediate microstructure context by explicitly retaining the volume of the last two completed candles, enabling short-horizon comparative analysis of participation decay, acceleration, or stalling. This dual-layer design—macro session accumulation coupled with micro candle-level volume comparison—allows traders to infer whether price movement is being structurally supported by expanding market involvement or merely drifting due to transient order flow.
The visualization layer, implemented via a dynamically updated table overlay, prioritizes informational density over graphical plots. By segregating cumulative session volume, last-candle volume, and second-last-candle volume into discrete cells, the indicator facilitates rapid regime assessment without distorting price charts. Functionally, the tool does not assert directional bias; instead, it acts as a participation integrity monitor, highlighting divergence between price action and underlying volume commitment, which is critical for detecting distribution, exhaustion, or false continuation scenarios.
In essence, the indicator operationalizes volume as a state variable rather than a trigger, framing trades around the sustainability of market effort rather than isolated price events.
PFA_ATR Locha:Clean Volatility RegimeCondensed Abstract (Advanced)
ATR Locha functions as a non-directional volatility-regime discriminator, operationalizing ATR normalized by price to detect latent shifts in market stress dynamics. By stratifying volatility into compression, equilibrium, and expansion states, it isolates pre-trend instability and post-trend exhaustion without invoking directional bias. The indicator is structurally anticipatory rather than predictive, serving as a probabilistic risk-state lens that contextualizes price behavior, enhances temporal positioning, and mitigates regime-mismatch errors when integrated with structural or trend-confirmatory frameworks.
PFA_ATR LochaCondensed Abstract (Advanced)
ATR Locha functions as a non-directional volatility-regime discriminator, operationalizing ATR normalized by price to detect latent shifts in market stress dynamics. By stratifying volatility into compression, equilibrium, and expansion states, it isolates pre-trend instability and post-trend exhaustion without invoking directional bias. The indicator is structurally anticipatory rather than predictive, serving as a probabilistic risk-state lens that contextualizes price behavior, enhances temporal positioning, and mitigates regime-mismatch errors when integrated with structural or trend-confirmatory frameworks.
PFA_EMA ComboEMA Combo Chart – Multi-Timeframe Trend & Momentum Framework
The EMA Combo Chart is a comprehensive trend-analysis setup that plots 10, 20, 50, 100, and 200 Exponential Moving Averages (EMAs) on a single price chart. By visualizing all meaningful combinations of these EMAs, the chart helps traders and investors quickly assess short-term momentum, medium-term structure, and long-term trend direction in one view.
How the EMA Combo Works
• 10 & 20 EMA
Ultra-short-term momentum – useful for identifying early trend shifts, pullbacks, and fast entries.
• 20 & 50 EMA
Short-to-medium trend confirmation – commonly used for swing trading and trend continuation setups.
• 50 & 100 EMA
Intermediate trend strength – filters noise and highlights sustained directional moves.
• 100 & 200 EMA
Long-term trend & regime identification – widely followed by institutions to define bullish vs bearish structure.
• Cross-EMA Alignment (Stacking)
When EMAs are aligned in order (10 > 20 > 50 > 100 > 200), it signals a strong bullish trend .
Reverse alignment indicates a strong bearish trend .
Why Use EMA Instead of SMA
1. Faster Response to Price
EMAs give more weight to recent prices, making them more responsive than Simple Moving Averages (SMA).
2. Early Signal Generation
EMA crossovers and slope changes occur earlier, helping traders capture moves closer to the start of a trend .
3. Better for Volatile Markets
In fast-moving or news-driven markets, EMAs adapt quicker and reduce lag compared to SMA.
4. Institutional Preference
Many professional and algorithmic strategies rely on EMAs, especially 50, 100, and 200 EMA, making them self-fulfilling reference levels .
5. Cleaner Trend Structure
EMA combinations help distinguish between pullbacks vs reversals more effectively than SMA.
Key Use-Cases
• Trend identification across multiple timeframes
• Dynamic support and resistance zones
• Entry-exit timing using EMA crossovers
• Filtering false breakouts in range-bound markets
• Aligning short-term trades with long-term trend
Disclaimer
This EMA Combo Chart is a technical analysis tool intended for educational and informational purposes only. It does not constitute investment advice, trading recommendations, or an assurance of returns. Financial markets involve risk, and past performance is not indicative of future results. Users should conduct their own analysis and consult a qualified financial advisor before making any trading or investment decisions.
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
────────────────────────────────
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
────────────────────────────────
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.
