מחזורים
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.
Highlighted Range (3 Sessions)3 session customizable range. All one color customizable for simplicity.
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.
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.
ETHThe Indicator is using the combination of below indicators:
Relative Strength Index (RSI): A momentum oscillator used to identify overbought (above 70) or oversold (below 30) conditions, which can signal potential price reversals.
Moving Averages (MA & EMA): These smooth out price data to help identify the direction of the overall trend. Crossovers between different period MAs (e.g., a short-term MA crossing above a long-term MA) can generate buy or sell signals.
Moving Average Convergence Divergence (MACD): A trend-following momentum indicator that shows the relationship between two moving averages. A bullish crossover (MACD line above signal line) suggests upward momentum, while a bearish crossover (MACD line below signal line) indicates downward momentum.
Bollinger Bands: This volatility indicator consists of a middle band (moving average) and two outer bands based on standard deviation. Price touching the upper band may signal overbought conditions, while touching the lower band may signal oversold conditions or a potential bounce.
Volume Indicators (e.g., On-Balance Volume - OBV): Volume confirms the strength of a price movement. A price increase with high volume suggests strong buying pressure, validating the trend.
Ethereum Long/Short Ratio: This sentiment indicator compares the number of traders holding long positions versus short positions. A high ratio might indicate excessive bullish sentiment, potentially preceding a market correction.
XAUUSD Candle Pattern < $4It is able to identify high impact trades. It works best in XAUUSD in conflunce with Order Blocks and Fair Value gaps.
Use 15 mins TF
Goldbach Timing Model This indicator is designed as a simple visual framework rather than a rigid signal system. It highlights time-based structure and key alignment zones to help identify when price behavior is more likely to be active or responsive. The logic is intentionally flexible, allowing the user to apply their own discretion instead of relying on strict conditions. Its primary value is visual clarity and context, not automatic entries or exits.
GS Tactical Overlay (SMC + Squeeze)designed to sit atop the 6 pillar commander. it will tell you signs for puts and calls
Navidad SharksThis indicator is NOT a signal system.
It is not designed for blind BUY/SELL execution. If you trade it like signals, you will most likely lose consistency.
What is it then?
It is a visual execution tool built around the Sharks Value Zones methodology.
The indicator helps you:
Define a value range
Wait for a valid breakout
Visualize risk (STOP) and reward (1:1) in a structured way
The indicator does not make decisions for you — it gives structure.
The trader still decides.
⚠️ Important for new users
This is NOT an automated signal tool
It only makes sense if you learn the Sharks Value Zones system inside the Sharks community
Entering trades just because a BUY or SELL label appears is not the method
This indicator provides levels and structure, not trade instructions.
🦈 Sharks Mindset
Professional traders don’t chase signals.
They repeat clear structures, disciplined execution, and controlled risk.
This indicator exists to:
bring order to your chart
remove emotional guessing
help you execute with consistency
✅ What the indicator draws
Base range / Value Zone based on the selected market session
Breakout direction (BUY or SELL) after the range
STOP zone (risk) and 1:1 target zone (reward)
Additional markers:
80% TP → price reached 80% of the target
TP ✅ / STOP ❌ → trade resolution
🧩 Inputs explained (simple)
Market
Select the session you want to trade (NY, Europe, Crypto, etc.).
This defines when the value range is calculated.
Anchor boxes from range start (bars)
How many candles the boxes extend to the right.
Higher value = longer visual boxes.
BUY/SELL label offset
Moves the BUY/SELL label left or right (visual only).
TP/STOP label offset
Moves TP / STOP / 80% labels (visual only).
ENTRY TICKS (number of breakout ticks)
Filters weak breakouts.
0 = instant breakout (more signals, more sensitivity)
3–5 ticks recommended for Forex
Indices and crypto may require higher values depending on volatility
Use 2nd opportunity
If the first trade hits STOP, the system may allow a second structured attempt on the opposite break (if enabled).
This is part of the Sharks methodology, not revenge trading.
🧠 How to use it correctly
Learn the Sharks Value Zones system
Use the indicator as a map, not a signal
Combine structure + context + risk management
==========================================
ORB Fusion ML AdaptiveORB FUSION ML - ADAPTIVE OPENING RANGE BREAKOUT SYSTEM
INTRODUCTION
ORB Fusion ML is an advanced Opening Range Breakout (ORB) system that combines traditional ORB methodology with machine learning probability scoring and adaptive reversal trading. Unlike basic ORB indicators, this system features intelligent breakout filtering, failed breakout detection, and complete trade lifecycle management with real-time visual feedback.
This guide explains the theoretical concepts, system components, and educational examples of how the indicator operates.
WHAT IS OPENING RANGE BREAKOUT (ORB)?
Core Concept:
The Opening Range Breakout strategy is based on the observation that the first 15-60 minutes of trading often establish a range that serves as support/resistance for the remainder of the session. Breakouts beyond this range have historically indicated potential directional moves.
How It Works:
Range Formation: System identifies high and low during opening period (default 30 minutes)
Breakout Detection: Monitors price for confirmed breaks above/below range
Signal Generation: Generates signals based on breakout method and filters
Target Projection: Projects extension targets based on range size
Why ORB May Be Effective:
Opening period often represents institutional positioning
Range boundaries historically act as support/resistance
Breakouts may indicate strong directional bias
Failed breakouts may signal reversal opportunities
Note: Historical patterns do not guarantee future occurrences.
SYSTEM COMPONENTS
1. OPENING RANGE DETECTION
Primary ORB:
Default: First 30 minutes of regular trading hours (9:30-10:00 AM ET)
Configurable: 5, 15, 30, or 60-minute ranges
Precision: Optional lower timeframe (LTF) data for exact high/low detection
LTF Precision Mode:
When enabled, system uses 1-minute data to identify precise range boundaries, even on higher timeframe charts. This may improve accuracy of breakout detection.
Session ORBs (Optional):
Asian Session: Typically 00:00-01:00 UTC
London Session: Typically 08:00-09:00 UTC
NY Session: Typically 13:30-14:30 UTC
These provide additional reference levels for 24-hour markets.
2. INITIAL BALANCE (IB)
The Initial Balance concept extends ORB methodology:
Components:
A-Period: First 30 minutes (9:30-10:00)
B-Period: Second 30 minutes (10:00-10:30)
IB Range: Combined high/low of both periods
IB Extensions:
System projects multiples of IB range (0.5×, 1.0×, 1.5×, 2.0×) as potential targets and key reference levels.
Historical Context:
IB methodology was popularized by traders observing that the first hour often establishes the day's trading range. Extensions beyond IB may indicate trend day development.
3. BREAKOUT CONFIRMATION METHODS
The system offers three confirmation methods:
A. Close Beyond Range (Default):
Bullish: Close > ORB High
Bearish: Close < ORB Low
Most balanced approach - requires bar to close beyond level.
B. Wick Beyond Range:
Bullish: High > ORB High
Bearish: Low < ORB Low
Most sensitive - any touch triggers. May generate more signals but higher false breakout rate.
C. Body Beyond Range:
Bullish: Min(Open, Close) > ORB High
Bearish: Max(Open, Close) < ORB Low
Most conservative - entire candle body must be beyond range.
Volume Confirmation:
Optional requirement that breakout occurs on above-average volume (default 1.5× 20-bar average). May filter weak breakouts lacking institutional participation.
4. MACHINE LEARNING PROBABILITY SCORING
The system's key differentiator is ML-based breakout filtering using logistic regression.
How It Works:
Feature Extraction:
When breakout candidate detected, system calculates:
ORB Range / ATR (range size normalization)
Volume Ratio (current vs. average)
VWAP Distance × Direction (alignment)
Gap Size × Direction (overnight gap influence)
Bar Impulse (momentum strength)
Probability Calculation:
pContinue = Probability breakout continues
pFail = Probability breakout fails and reverses
Calculated via logistic regression:
P = 1 / (1 + e^(-z))
where z = β₀ + β₁×Feature₁ + β₂×Feature₂ + ...
Coefficient Examples (User Configurable):
pContinue Model:
Intercept: -0.20 (slight bearish bias)
ORB Range/ATR: +0.80 (larger ranges favored)
Volume Ratio: +0.60 (higher volume increases probability)
VWAP Alignment: +0.50 (aligned with VWAP helps)
pFail Model:
Intercept: -0.30 (assumes most breakouts valid)
Volume Ratio: -0.50 (low volume increases failure risk)
VWAP Alignment: -0.90 (breaking away from VWAP risky)
ML Gating:
When enabled, breakout only signaled if:
pContinue ≥ Minimum Threshold (default 55%)
pFail ≤ Maximum Threshold (default 35%)
This filtering aims to reduce false breakouts by requiring favorable probability scores.
Model Training:
Users should backtest and optimize coefficients for their specific instrument and timeframe. Default values are educational starting points, not guaranteed optimal parameters.
Educational Note: ML models assume past feature relationships continue into the future. Market conditions may change in ways not captured by historical data.
5. FAILED BREAKOUT DETECTION & REVERSAL TRADING
A unique feature is automatic detection of failed breakouts and generation of counter-trend reversal setups.
Detection Logic:
Failure Conditions:
For Bullish Breakout that fails:
- Initially broke above ORB High
- After N bars (default 3), price closes back inside range
- Must close below (ORB High - Buffer)
- Buffer = ATR × 0.1 (default)
For Bearish Breakout that fails:
- Initially broke below ORB Low
- After N bars, price closes back inside range
- Must close above (ORB Low + Buffer)
Automatic Reversal Entry:
When failure detected, system automatically:
Generates reversal entry at current close
Sets stop loss beyond recent extreme + small buffer
Projects 3 targets based on ORB range multiples
Target Calculations:
For failed bullish breakout (now SHORT):
Entry = Close (when failure confirmed)
Stop = Recent High + (ATR × 0.10)
T1 = ORB High - (ORB Range × 0.5) // 50% retracement
T2 = ORB High - (ORB Range × 1.0) // Full retracement
T3 = ORB High - (ORB Range × 1.5) // Beyond opposite boundary
Trade Lifecycle Management:
The system tracks reversal trades in real-time through multiple states:
State 0: No trade
State 1: Breakout active (monitoring for failure)
State 2: Breakout failed (not used currently)
State 3: Reversal entry taken
State 4: Target 1 hit
State 5: Target 2 hit
State 6: Target 3 hit
State 7: Stopped out
State 8: Complete
Real-Time Tracking:
MFE (Maximum Favorable Excursion): Best price achieved
MAE (Maximum Adverse Excursion): Worst price against position
Dynamic Lines & Labels: Visual updates as trade progresses
Color Coding: Green for hit targets, gray for stopped trades
Visual Feedback:
Entry line (solid when active, dotted when stopped)
Stop loss line (red dashed)
Target lines (green when hit, gray when stopped)
Labels update in real-time with status
This complete lifecycle tracking provides educational insight into trade development and risk/reward realization.
Educational Context: Failed breakouts are a recognized pattern in technical analysis. The theory is that trapped traders may need to exit, creating momentum in the opposite direction. However, not all failed breakouts result in profitable reversals.
6. EXTENSION TARGETS
System projects Fibonacci-based extension levels beyond ORB boundaries.
Bullish Extensions (Above ORB High):
1.272× (ORB High + ORB Range × 0.272)
1.5× (ORB High + ORB Range × 0.5)
1.618× (ORB High + ORB Range × 0.618)
2.0× (ORB High + ORB Range × 1.0)
2.618× (ORB High + ORB Range × 1.618)
3.0× (ORB High + ORB Range × 2.0)
Bearish Extensions (Below ORB Low):
Same multipliers applied below ORB Low
Visual Representation:
Dotted lines until reached
Solid lines after price touches level
Color coding (green for bullish, red for bearish)
These serve as potential profit targets and key reference levels.
7. DAY TYPE CLASSIFICATION
System attempts to classify trading day based on price movement relative to Initial Balance.
Classification Logic:
IB Extension = (Current Price - IB Boundary) / IB Range
Day Types:
Trend Day: Extension ≥ 1.5× IB Range
- Strong directional movement
- Price extends significantly beyond IB
Normal Day: Extension between 0.5× and 1.5×
- Moderate movement
- Some extension but not extreme
Rotation Day: Price stays within IB
- Range-bound conditions
- Limited directional conviction
Historical Context:
Day type classification comes from market profile analysis, suggesting different trading approaches for different conditions. However, classification is backward-looking and may change throughout the session.
8. VWAP INTEGRATION
Volume-Weighted Average Price included as institutional reference level.
Calculation:
VWAP = Σ(Typical Price × Volume) / Σ(Volume)
Typical Price = (High + Low + Close) / 3
Standard Deviation Bands:
Band 1: VWAP ± 1.0 σ
Band 2: VWAP ± 2.0 σ
Usage:
Alignment with VWAP may indicate institutional support
Distance from VWAP factored into ML probability scoring
Bands suggest potential overbought/oversold extremes
Note: VWAP is widely used by institutional traders as a benchmark, but this does not guarantee its predictive value.
9. GAP ANALYSIS
Tracks overnight gaps and fill statistics.
Gap Detection:
Gap Size = Open - Previous Close
Classification:
Gap Up: Gap > ATR × 0.1
Gap Down: Gap < -ATR × 0.1
No Gap: Otherwise
Gap Fill Tracking:
Monitors if price returns to previous close
Calculates fill rate over time
Displays previous close as reference level
Historical Context:
Market folklore suggests "gaps get filled," though statistical evidence varies by market and timeframe.
10. MOMENTUM CANDLE VISUALIZATION
Optional colored boxes around candles showing position relative to ORB.
Color Coding:
Blue: Inside ORB range
Green: Above ORB High (bullish momentum)
Red: Below ORB Low (bearish momentum)
Bright Green: Breakout bar
Orange: Failed breakout bar
Gray: Stopped out bar
Lime: Target hit bar
Provides quick visual context of price location and key events.
DISPLAY MODES
Three complexity levels to suit different user preferences:
SIMPLE MODE
Minimal display focusing on essentials:
✓ Primary ORB levels (High, Low, Mid)
✓ Basic breakout signals
✓ Essential dashboard metrics
✗ No session ORBs
✗ No IB analysis
✗ No extensions
Best for: Clean charts, beginners, focus on core ORB only
STANDARD MODE
Balanced feature set:
✓ Primary ORB levels
✓ Initial Balance with extensions
✓ Session ORBs (Asian, London, NY)
✓ VWAP with bands
✓ Breakout and reversal signals
✓ Gap analysis
✗ Detailed statistics
Best for: Most traders, good balance of information and clarity
ADVANCED MODE
Full feature set:
✓ All Standard features
✓ ORB extensions (1.272×, 1.5×, 1.618×, 2.0×, etc.)
✓ Complete statistics dashboard
✓ Detailed performance metrics
✓ All visual enhancements
Best for: Experienced users, research, full analysis
DASHBOARD INTERPRETATION
Main Dashboard Sections:
ORB Status:
Status: Complete / Building / Waiting
Range: Actual range size in price units
Trade State:
State: Current trade status (see 8 states above)
Vol: Volume confirmation (Confirmed / Low)
Targets (when reversal active):
T1, T2, T3: Hit / Pending / Stopped
Color: Green = hit, Gray = pending or stopped
ML Section (when enabled):
ML: ON Pass / ON Reject / OFF
pC/pF: Probability scores as percentages
Setup:
Action: LONG / SHORT / REVERSAL / FADE / WAIT
Grade: A+ to D based on confidence
Status: ACTIVE / STOPPED / T1 HIT / etc.
Conf: Confidence percentage
Context:
Bias: Overall market direction assessment
VWAP: Above / Below / At VWAP
Gap: Gap type and fill status
Statistics (Advanced Mode):
Bull WR: Bullish breakout win rate
Bear WR: Bearish breakout win rate
Rev WR: Reversal trade win rate
Rev Count: Total reversals taken
Narrative Dashboard:
Plain-language interpretation:
Phase: Building ORB / Trading Phase / Pre-market
Status: Current market state in plain English
ML: Probability scores
Setup: Trade recommendation with grade
All metrics based on historical simulation, not live trading results.
USAGE GUIDELINES - EDUCATIONAL EXAMPLES
Getting Started:
Step 1: Chart Setup
Add indicator to chart
Select appropriate timeframe (1-5 min recommended for ORB trading)
Choose display mode (start with Standard)
Step 2: Opening Range Formation
During first 30 minutes (9:30-10:00 ET default)
Watch ORB High/Low levels form
Note range size relative to ATR
Step 3: Breakout Monitoring
After ORB complete, watch for breakout candidates
Check ML scores if enabled
Verify volume confirmation
Step 4: Signal Evaluation
Consider confidence grade
Review trade state and targets
Evaluate risk/reward ratio
Interpreting ML Scores:
Example 1: High Probability Breakout
Breakout: Bullish
pContinue: 72%
pFail: 18%
ML Status: Pass
Grade: A
Interpretation:
- High continuation probability
- Low failure probability
- Passes ML filter
- May warrant consideration
Example 2: Rejected Breakout
Breakout: Bearish
pContinue: 48%
pFail: 52%
ML Status: Reject
Grade: D
Interpretation:
- Low continuation probability
- High failure probability
- ML filter blocks signal
- Small 'X' marker shows rejection
Note: ML scores are mathematical outputs based on historical data. They do not guarantee outcomes.
Reversal Trade Example:
Scenario:
9:45 AM: Bullish breakout above ORB High
9:46 AM: Price extends to +0.8× ORB range
9:48 AM: Price reverses, closes back below ORB High
9:49 AM: Failure confirmed (3 bars inside range)
System Response:
- Marks failed breakout with 'FAIL' label
- Generates SHORT reversal entry
- Sets stop above recent high
- Projects 3 targets
- Trade State → 3 (Reversal Active)
- Entry line and targets display
Potential Outcomes:
- Stop hit → State 7 (Stopped), lines gray out
- T1 hit → State 4, T1 line turns green
- T2 hit → State 5, T2 line turns green
- T3 hit → State 6, T3 line turns green
All tracked in real-time with visual updates.
Risk Management Considerations:
Position Sizing Example:
Account: $25,000
Risk per trade: 1% = $250
Stop distance: 1.5 ATR = $150 per share
Position size: $250 / $150 = 1.67 shares (round to 1)
Stop Loss Guidelines:
Breakout trades: ORB midpoint or opposite boundary
Reversal trades: System-provided stop (recent extreme + buffer)
Never widen system stops
Target Management:
Consider scaling out at T1, T2, T3
Trail stops after T1 reached
Full exit if stopped
These are educational examples, not recommendations. Users must develop their own risk management based on personal tolerance and account size.
OPTIMIZATION SUGGESTIONS
For Stock Indices (ES, NQ):
Suggested Settings:
ORB Timeframe: 30 minutes
Confirmation: Close
Volume Filter: ON (1.5×)
ML Filter: ON
Display Mode: Standard
Rationale:
30-min ORB standard for equity indices
Close confirmation balances speed and reliability
Volume important for institutional participation
ML helps filter noise
Historical Observation:
Indices often respect ORB levels during regular hours.
For Individual Stocks:
Suggested Settings:
ORB Timeframe: 5-15 minutes
Confirmation: Close or Body
Volume Filter: ON (1.8-2.0×)
RTH Only: ON
Failed Breakouts: ON
Rationale:
Shorter ORB may be appropriate for volatile stocks
Volume critical to filter low-liquidity moves
RTH avoids pre-market noise
Failed breakouts common in stocks
For Forex:
Suggested Settings:
ORB Timeframe: 60 minutes
Session ORBs: ON (Asian, London)
Volume Filter: OFF or low threshold
24-hour mode: ON
Rationale:
Forex trades 24 hours, need session awareness
Volume data less reliable in forex
Longer ORB for slower forex movement
For Crypto:
Suggested Settings:
ORB Timeframe: 30-60 minutes
Confirmation: Body (more conservative)
Volume Filter: ON (2.0×+)
Display Mode: Advanced
Rationale:
High volatility requires conservative confirmation
Volume crucial to distinguish real moves from noise
24-hour market benefits from multiple session ORBs
ML COEFFICIENT TUNING
Users can optimize ML model coefficients through backtesting.
Approach:
Data Collection: Review rejected breakouts - were they correct to reject?
Pattern Analysis: Which features correlate with success/failure?
Coefficient Adjustment: Increase weights for predictive features
Threshold Tuning: Adjust minimum pContinue and maximum pFail
Validation: Test on out-of-sample data
Example Optimization:
If finding:
High-volume breakouts consistently succeed
Low-volume breakouts often fail
Action:
Increase pCont w(Volume Ratio) from 0.60 to 0.80
Increase pFail w(Volume Ratio) magnitude (more negative)
If finding:
VWAP alignment highly predictive
Gap direction not helpful
Action:
Increase pCont w(VWAP Distance×Dir) from 0.50 to 0.70
Decrease pCont w(Gap×Dir) toward 0.0
Important: Optimization should be done on historical data and validated on out-of-sample periods. Overfitting to past data does not guarantee future performance.
STATISTICS & PERFORMANCE TRACKING
System maintains comprehensive statistics:
Breakout Statistics:
Total Days: Number of trading days analyzed
Bull Breakouts: Total bullish breakouts
Bull Wins: Breakouts that reached 2.0× extension
Bull Win Rate: Percentage that succeeded
Bear Breakouts: Total bearish breakouts
Bear Wins: Breakouts that reached 2.0× extension
Bear Win Rate: Percentage that succeeded
Reversal Statistics:
Reversals Taken: Total failed breakouts traded
T1 Hit: Number reaching first target
T2 Hit: Number reaching second target
T3 Hit: Number reaching third target
Stopped: Number stopped out
Reversal Win Rate: Percentage reaching at least T1
Day Type Statistics:
Trend Days: Days with 1.5×+ IB extension
Normal Days: Days with 0.5-1.5× extension
Rotation Days: Days staying within IB
Extension Statistics:
Average Extension: Mean extension level reached
Max Extension: Largest extension observed
Gap Statistics:
Total Gaps: Number of significant gaps
Gaps Filled: Number that filled during session
Gap Fill Rate: Percentage filled
Note: All statistics based on indicator's internal simulation logic, not actual trading results. Past statistics do not predict future outcomes.
ALERTS
Customizable alert system for key events:
Available Alerts:
Breakout Alert:
Trigger: Initial breakout above/below ORB
Message: Direction, price, volume status, ML scores, grade
Frequency: Once per bar
Failed Breakout Alert:
Trigger: Breakout failure detected
Message: Reversal setup with entry, stop, and 3 targets
Frequency: Once per bar
Extension Alert:
Trigger: Price reaches extension level
Message: Extension multiple and price level
Frequency: Once per bar per level
IB Break Alert:
Trigger: Price breaks Initial Balance
Message: Potential trend day warning
Frequency: Once per bar
Reversal Stopped Alert:
Trigger: Reversal trade hits stop loss
Message: Stop level and original entry
Frequency: Once per bar
Target Hit Alert:
Trigger: T1, T2, or T3 reached
Message: Which target and price level
Frequency: Once per bar
Users can enable/disable alerts individually based on preferences.
VISUAL CUSTOMIZATION
Extensive visual options:
Color Schemes:
All colors fully customizable:
ORB High, Low, Mid colors
Extension colors (bull/bear)
IB colors
VWAP colors
Momentum box colors
Session ORB colors
Display Options:
Line widths (1-5 pixels)
Box transparencies (50-95%)
Fill transparencies (80-98%)
Momentum box transparency
Label Behavior:
Label Modes:
All: Always show all labels
Adaptive: Fade labels far from price
Minimal: Only show labels very close to price
Label Proximity:
Adjustable threshold (1.0-5.0× ATR)
Labels beyond threshold fade or hide
Reduces clutter on wide-range charts
Gradient Fills:
Optional gradient zones between levels:
ORB High to Mid (bullish gradient)
ORB Mid to Low (bearish gradient)
Creates visual "heatmap" of tension
FREQUENTLY ASKED QUESTIONS
Q: What timeframe should I use?
A: ORB methodology is typically applied to intraday charts. Suggestions:
1-5 min: Active trading, multiple setups per day
5-15 min: Balanced view, clearer signals
15-30 min: Higher timeframe confirmation
The indicator works on any timeframe, but ORB is traditionally an intraday concept.
Q: Do I need the ML filter enabled?
A: This is a user choice:
ML Enabled:
Fewer signals
Potentially higher quality (filters low-probability)
Requires coefficient optimization
More complex
ML Disabled:
More signals
Simpler operation
Traditional ORB approach
May include lower-quality breakouts
Consider paper trading both approaches to determine preference.
Q: How should I interpret pContinue and pFail?
A: These are probability estimates from the logistic regression model:
pContinue 70% / pFail 25%: Model suggests favorable continuation odds
pContinue 45% / pFail 55%: Model suggests breakout likely to fail
pContinue 60% / pFail 35%: Borderline, depends on thresholds
Remember: These are mathematical outputs based on historical feature relationships. They are not certainties.
Q: Should I always take reversal trades?
A: Reversal trades are optional setups. Considerations:
Potential Advantages:
Trapped traders may need to exit
Clear stop loss levels
Defined targets
Potential Risks:
Counter-trend trading
Original breakout may resume
Requires quick reaction
Users should evaluate reversal setups like any other trade based on personal strategy and risk tolerance.
Q: What if ORB range is very small?
A: Small ranges may indicate:
Low volatility session opening
Potential for expansion later
Less reliable breakout levels
Considerations:
Larger ranges often more significant
Small ranges may need wider stops relative to range
ORB Range/ATR ratio helps normalize
The ML model includes this via the ORB Range/ATR feature.
Q: Can I use this on stocks, forex, crypto?
A: System is adaptable:
Stocks: Designed primarily for stock indices and equities. Use RTH mode.
Forex: Enable session ORBs. Volume filter less relevant. Adjust for 24-hour nature.
Crypto: Very volatile. Consider conservative confirmation method (Body). Higher volume thresholds.
Each market has unique characteristics. Extensive testing recommended.
Q: How do I optimize ML coefficients?
A: Systematic approach:
Collect data on 50-100+ breakouts
Note which succeeded/failed
Analyze feature values for each
Identify correlations
Adjust coefficients to emphasize predictive features
Validate on different time period
Iterate
Alternatively, use regression analysis on historical breakout data if you have programming skills.
Q: What does "Stopped Out" mean for reversals?
A: Reversal trade hit its stop loss:
Price moved against reversal position
Original breakout may have resumed
Trade closed at loss
Lines and labels gray out
Trade State → 7
This is part of normal trading - not all reversals succeed.
Q: Can I change ORB timeframe intraday?
A: ORB timeframe setting affects the next day's ORB. Current day's ORB remains fixed. To see different ORB sizes, you would need to change setting and wait for next session.
Q: Why do rejected breakouts show an 'X'?
A: When "Mark Rejected Breakout Candidates" enabled:
Small 'X' appears when ML filter rejects a breakout
Shows where system prevented a signal
Useful for model calibration
Helps evaluate if ML making good decisions
You can disable this marker if it creates clutter.
ADVANCED CONCEPTS
1. Adaptive vs. Static ORB:
Traditional ORB uses fixed time windows. This system adds adaptability through:
ML probability scoring (adapts to current conditions)
Multiple session ORBs (adapts to global markets)
Failed breakout detection (adapts when setup fails)
Real-time trade management (adapts as trade develops)
This creates a more dynamic approach than simple static levels.
2. Confluence Scoring:
System internally calculates confluence (agreement of factors):
Breakout direction
Volume confirmation
VWAP alignment
ML probability scores
Gap direction
Momentum strength
Higher confluence typically results in higher grade (A+, A, B+, etc.).
3. Trade State Machine:
The 8-state system provides complete trade lifecycle:
State 0: Waiting → No setup
State 1: Breakout → Monitoring for failure
State 2: Failed → (transition state)
State 3: Reversal Active → In counter-trend position
State 4: T1 Hit → First target reached
State 5: T2 Hit → Second target reached
State 6: T3 Hit → Third target reached (full success)
State 7: Stopped → Hit stop loss
State 8: Complete → Trade resolved
Each state has specific visual properties and logic.
4. Real-Time Performance Attribution:
MFE/MAE tracking provides insight:
Maximum Favorable Excursion (MFE):
Best price achieved during trade
Shows potential if optimal exit used
Educational metric for exit strategy analysis
Maximum Adverse Excursion (MAE):
Worst price against position
Shows drawdown during trade
Helps evaluate stop placement
These appear in Narrative Dashboard during active reversals.
THEORETICAL FOUNDATIONS
Why Opening Range Matters:
Several theories support ORB methodology:
1. Information Incorporation:
Opening period represents initial consensus on overnight news and pre-market sentiment. Range boundaries may reflect this information.
2. Order Flow:
Institutional traders often execute during opening period, establishing supply/demand zones.
3. Behavioral Finance:
Traders psychologically anchor to opening range levels. Self-fulfilling prophecy may strengthen these levels.
4. Market Microstructure:
Opening auction establishes price discovery. Breaks beyond may indicate new information or momentum.
Academic Note: While ORB is widely used, academic evidence on its effectiveness varies. Like all technical analysis, it should be evaluated empirically for each specific application.
Machine Learning in Trading:
This system uses supervised learning (logistic regression):
Advantages:
Interpretable (can see feature weights)
Fast calculation
Probabilistic output
Well-understood mathematically
Limitations:
Assumes linear relationships
Requires feature engineering
Needs periodic retraining
Not adaptive to regime changes automatically
More sophisticated ML (neural networks, ensemble methods) could potentially improve performance but at cost of interpretability and speed.
Failed Breakouts & Market Psychology:
Failed breakout trading exploits several concepts:
1. Stop Hunting:
Large players may push price to trigger stops, then reverse.
2. False Breakouts:
Insufficient conviction leads to failed breakout and quick reversal.
3. Trapped Traders:
Those who entered breakout now forced to exit, creating momentum opposite direction.
4. Mean Reversion:
After failed directional attempt, price may revert to range or beyond.
These are theoretical frameworks, not guaranteed patterns.
BEST PRACTICES - EDUCATIONAL SUGGESTIONS
1. Paper Trade Extensively:
Before live trading:
Test on historical data
Forward test in real-time (paper)
Evaluate statistics over 50+ occurrences
Understand system behavior in different conditions
2. Start with Simple Mode:
Initial learning:
Use Simple or Standard mode
Focus on primary ORB only
Master basic breakout interpretation
Add features incrementally
3. Optimize ML Coefficients:
If using ML filter:
Backtest on your specific instrument
Note which features predictive
Adjust coefficients systematically
Validate on out-of-sample data
Re-optimize periodically
4. Respect Risk Management:
Always:
Define maximum risk per trade (1-2% recommended)
Use system-provided stops
Size positions appropriately
Never override stops wider
Keep statistics of your actual trading
b]5. Understand Context:
Consider:
Is it a trending or ranging market?
What's the day type developing?
Is volume confirming moves?
Are you aligned with VWAP?
What's the overall market condition?
Context may inform which setups to emphasize.
6. Journal Results:
Track:
Which setup types work best for you
Your execution quality
Emotional responses to different scenarios
Missed opportunities and why
Losses and lessons
Systematic journaling improves over time.
FINAL EDUCATIONAL SUMMARY
ORB Fusion ML combines traditional Opening Range Breakout methodology with modern
enhancements:
✓ ML Probability Scoring: Filters breakouts using logistic regression
✓ Failed Breakout Detection: Automatic reversal trade generation
✓ Complete Trade Management: Real-time tracking with visual updates
✓ Multi-Session Support: Asian, London, NY ORBs for global markets
✓ Institutional Reference: VWAP and Initial Balance integration
✓ Comprehensive Statistics: Track performance across breakout types
✓ Full Customization: Three display modes, extensive visual options
✓ Educational Transparency: Dashboard shows all relevant metrics
This is an educational tool demonstrating advanced ORB concepts.
Critical Reminders:
The system:
✓ Identifies potential ORB breakout and reversal setups
✓ Provides ML-based probability estimates
✓ Tracks trades through complete lifecycle
✓ Offers comprehensive performance statistics
Users must understand:
✓ No system guarantees profitable results
✓ Past performance does not predict future results
✓ All indicators require proper risk management
✓ Paper trading essential before live trading
✓ Market conditions change unpredictably
✓ This is educational software, not financial advice
Success requires: Proper education, disciplined risk management, realistic expectations, personal responsibility for all trading decisions, and understanding that indicators are tools, not crystal balls.
For Educational Use Only - ORB Fusion ML Development Staff
⚠️ FINAL DISCLAIMER
This indicator and documentation are provided strictly for educational and informational purposes.
NOT FINANCIAL ADVICE: Nothing in this guide constitutes financial advice, investment advice, trading advice, or any recommendation to buy or sell any security or engage in any trading strategy.
NO GUARANTEES: No representation is made that any account will or is likely to achieve profits or losses similar to those shown. The statistics, probabilities, and examples are from historical backtesting and do not represent actual trading results.
SUBSTANTIAL RISK: Trading involves substantial risk of loss and is not suitable for every investor. The high degree of leverage can work against you as well as for you.
YOUR RESPONSIBILITY: You are solely responsible for your own trading decisions. You should conduct your own research, perform your own analysis, paper trade extensively, and consult with qualified financial advisors before making any trading decisions.
NO LIABILITY: The developers, contributors, and distributors of this indicator disclaim all liability for any losses or damages, direct or indirect, that may result from use of this indicator or reliance on any information provided.
PAPER TRADE FIRST: Users are strongly encouraged to thoroughly test this indicator in a paper trading environment before risking any real capital.
By using this indicator, you acknowledge that you have read this disclaimer, understand the substantial risks involved in trading, and agree that you are solely responsible for your own trading decisions and their outcomes.
Educational Software Only | Trade at Your Own Risk | Not Financial Advice
Taking you to school. — Dskyz, Trade with insight. Trade with anticipation.
Breakout Pro (B:Pro) v4.0Breakout PRO (B:Pro) v4.0 is a multi-filter breakout and trend suite designed for discretionary trading on any symbol and timeframe. It combines a custom EMA cloud, volatility and momentum filters, higher-timeframe trend, and quality scoring into one tool, instead of using multiple separate indicators.
Core concept
The script builds a three-layer EMA cloud around price. The relative position of fast, mid, and slow EMAs plus an ATR padding defines:
Bull regime: stacked EMAs with cloud acting as dynamic support
Bear regime: stacked EMAs with cloud acting as dynamic resistance
Neutral regime: mixed EMAs, cloud fades to neutral color
This cloud defines the main trend and the breakout levels (cloud upper / cloud lower).
A higher-timeframe 200 EMA (configurable timeframe) adds a long-term bias filter.
Support, resistance and structure
Last confirmed swing high and swing low are detected with pivot logic and plotted as dotted support / resistance lines.
These levels are invalidated with a small ATR buffer when price clearly breaks them.
Optional long-term EMA targets (T1 and T2, default 233 and 377) are plotted on the price scale as potential mean-reversion or trend-continuation targets.
Filters used in entries
Long and short breakout signals are only shown when multiple conditions agree. You can enable or disable each filter:
Volume: current volume vs volume SMA
MACD: direction and histogram momentum
RSI: classic OB/OS, with sentiment-adjusted levels
Stoch RSI: direction of K vs D in valid zones
Bollinger Bands + Keltner Channel: squeeze and BB breakouts
VWAP: price relative to VWAP
ADX: trend strength threshold
OBV and Ichimoku: optional extra trend confirmation
A separate Market Sentiment input (Standard, Bullish, Bearish, Consolidation) shifts RSI zones, ADX threshold, and volume requirements so the same logic adapts to different environments.
Signals and exits
The main entry logic:
Long signal: bull EMA stack, breakout above the last pivot resistance and above the upper cloud, plus all enabled long filters are satisfied.
Short signal: mirror conditions below support and below the lower cloud.
Trade state is tracked inside the script:
ATR-based stop level is set on entry using mode-dependent ATR multipliers.
Optional maximum trade duration (different for Short, Mid and Long modes).
Exit markers are plotted when stops are hit, the cloud / EMA stack flips against the trade, MACD or RSI contradict the position, or the time limit is exceeded.
Additional icons mark:
Strong breakouts / breakdowns with large ATR and volume
Squeeze releases after a volatility contraction
EMA cross signals
Continuation and potential reversal zones inside the cloud
Optional RSI divergence arrows based on a separate RSI tuned per trade mode.
Quality and safety scoring
For every entry the script computes:
Safety score (1–3): based mainly on volume, ADX trend strength, and alignment with the cloud regime.
Quality score (1–3): based on BB breakout, MACD and RSI agreement, and whether the signal matches the selected market sentiment.
You can:
Show small S/Q labels next to the entry signal
Use the fixed panel in the bottom-left corner to view the last 5 trade events (opens, closes, crosses) with their S and Q values.
Inputs and layout options
Key inputs:
Trade Mode: Short (e.g. 30 min), Mid (e.g. 4h), Long (e.g. 1D+). Adjusts EMA lengths, ATR settings and the RSI length used for divergences.
Market Sentiment: adjusts filters as described above.
Per-filter toggles for volume, MACD, RSI, Stoch RSI, BB, Ichimoku, ADX, OBV, VWAP, HTF levels.
Panel size: Desktop, Phone, or None for the signal history table.
Side labels: Desktop (full text labels on the price scale) or Phone (compact labels without text) for better compatibility on small screens.
Usage notes
This is a technical analysis tool, not a trading system or financial advice. Signals are calculated on closed data without intentional look-ahead, but values on the current forming bar can still change until the bar closes. Use the script as a structured framework for trend, breakout and confluence analysis, and always confirm signals with your own risk management and testing.
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
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.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🎯 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.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
⚙️ 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
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🔧 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
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