Volume Anomaly Reversal DetectionVolume Anomaly Reversal Detection (VARD System)
🎯 What This Indicator Does
This indicator identifies potential trend reversals by detecting abnormal volume activity that often precedes significant price movements. It combines volume anomaly detection with dynamic trend analysis to generate actionable BUY/SELL signals.
📊 Core Concept & Methodology
Volume Anomaly Detection
The indicator analyzes directional volume (buying vs selling pressure) from a lower timeframe and calculates Z-scores to identify statistically significant volume spikes.
Z-Score Formula:
Z = (Current Volume - Average Volume) / Standard Deviation
When volume exceeds the threshold (default: 3 standard deviations above mean), it signals unusual market activity - often caused by forced liquidations or capitulation.
Dynamic Trend Filter
A custom trend-following algorithm based on ATR (Average True Range) bands determines the current market direction:
Price above lower band = Uptrend
Price below upper band = Downtrend
Signal Logic
Volume anomaly detected during an existing trend
Trend reversal confirmed within the confirmation window
Signal generated = BUY or SELL label appears
⚙️ Settings Explained
SettingDefaultDescriptionAnalysis Timeframe15minLower timeframe for volume samplingStatistical Lookback200Bars used for Z-score calculationAnomaly Sensitivity3.0Z-score threshold (lower = more signals)Confirmation Window50Max bars between anomaly and trend flipATR Multiplier2.0Trend band widthTrend Period10ATR calculation length
📖 How To Use
Entry Signals
BUY: Green label appears below bar - consider long positions
SELL: Red label appears above bar - consider short positions
Volume Anomaly Markers (⬥)
Small diamonds indicate detected volume spikes
These are early warnings before confirmed signals
Useful for anticipating potential reversals
Trend Bands
Colored zones show active signal direction
Stay with the trend until opposite signal appears
Best Practices
Confirm with price action - Look for support/resistance levels
Use appropriate timeframes - Works on all timeframes, but 1H-4H recommended
Manage risk - Always use stop losses
Avoid ranging markets - Best in trending/volatile conditions
⚠️ Important Notes
No indicator is perfect - Use as part of a complete trading strategy
Volume data required - Will show warning if volume unavailable
Not financial advice - Always do your own research
🔔 Alerts Available
BUY Signal Confirmed
SELL Signal Confirmed
Volume Anomaly (Buy Setup)
Volume Anomaly (Sell Setup)
Indicators and strategies
Dimensional Support ResistanceDimensional Support Resistance
Overview
Dimensional Support Resistance is an open-source overlay indicator that automatically detects and displays clean, non-overlapping support and resistance levels using pivot-based analysis with intelligent filtering. It identifies significant swing highs and lows, filters them by minimum distance to prevent visual clutter, and provides volume-confirmed bounce signals.
What This Indicator Does
The indicator calculates and displays:
Dynamic Pivot Levels - Automatically detected swing highs and lows based on configurable pivot strength
Distance Filtering - Ensures levels are spaced apart by a minimum percentage to prevent overlap
S/R Zones - Visual zones around each level showing the price area of significance
Bounce Detection - Identifies when price reverses at support or resistance levels
Volume Confirmation - Strong signals require above-average volume for confirmation
How It Works
Pivot detection scans for swing highs and lows using a configurable strength parameter. A pivot low requires the low to be lower than all surrounding bars within the strength period.
Signal Generation
The indicator generates bounce signals using TradingView's built-in pivot detection combined with candle reversal confirmation:
Support Bounce: Pivot low forms with bullish close (close > open)
Resistance Bounce: Pivot high forms with bearish close (close < open)
Strong Bounce: Bounce occurs with volume 1.5x above 20-period average
A cooldown period of 15 bars prevents signal spam.
Dashboard Panel
A compact dashboard displays:
Support - Count of active support levels
Resistance - Count of active resistance levels
Dashboard position is configurable (Top Left, Top Right, Bottom Left, Bottom Right).
Visual Elements
Support Lines - Green horizontal lines at support levels
Resistance Lines - Red horizontal lines at resistance levels
S/R Zones - Semi-transparent boxes around levels showing zone width
Price Labels - S: and R: labels showing exact price of nearest levels
BOUNCE Markers - Triangle shapes with text when price bounces at a level
STRONG Markers - Label shapes when bounce occurs with high volume
Input Parameters
Lookback Period (default: 100) - Historical bars to scan for pivots
Pivot Strength (default: 8) - Bars on each side required for valid pivot (higher = fewer but stronger levels)
Max Levels Each Side (default: 2) - Maximum support and resistance levels displayed
Zone Width % (default: 0.15) - Width of zones around each level as percentage of price
Min Distance Between Levels % (default: 1.0) - Minimum spacing between levels to prevent overlap
Show S/R Zones (default: true) - Toggle zone visualization
Show Bounce Signals (default: true) - Toggle signal markers
Support Color (default: #00ff88) - Color for support elements
Resistance Color (default: #ff3366) - Color for resistance elements
Suggested Use Cases
Identify key support and resistance levels for entry and exit planning
Use bounce signals as potential reversal confirmation
Combine with other indicators for confluence-based trading decisions
Monitor strong signals for high-probability setups with volume confirmation
Timeframe Recommendations
Works on all timeframes. Higher timeframes (4H, Daily) provide more significant levels with fewer signals. Lower timeframes show more granular structure but may produce more noise.
Limitations
Pivot detection requires lookback bars, so very recent pivots may not be immediately visible
Bounce signals are based on pivot formation and may lag by the pivot strength period
Levels are recalculated on each bar, so they may shift as new pivots form
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always use proper risk management and conduct your own analysis before trading.
- Made with passion by officialjackofalltrades
Polynomial Regression Channel [ChartPrime]⯁ OVERVIEW
The Polynomial Regression Channel fits price action using advanced polynomial regression, extending beyond simple linear or logarithmic models. By leveraging matrix calculations, it builds a curved regression line that adapts to swings more naturally. The channel includes extrapolated forward projections, helping traders visualize where price may gravitate in the near future. Midline color shifts reflect directional bias, while prediction ranges are marked with dashed extensions, labeled prices, and a live table for clarity.
⯁ KEY FEATURES
Polynomial Regression Core:
Uses matrix algebra to calculate a polynomial fit of customizable degree, adapting to complex, non-linear market structures.
polyreg(source, length, degree, extrapolate) =>
total = length + extrapolate
X_all = matrix.new(total, degree + 1, 0.0)
for i = 0 to total - 1
for j = 0 to degree
matrix.set(X_all, i, j, math.pow(i, j))
// y (length × 1), oldest→newest over the fit window
y = matrix.new(length, 1, 0.0)
for i = 0 to length - 1
matrix.set(y, i, 0, source )
// X_train (first `length` rows of X_all)
X_tr = matrix.new(length, degree + 1, 0.0)
for i = 0 to length - 1
for j = 0 to degree
matrix.set(X_tr, i, j, matrix.get(X_all, i, j))
// OLS via normal equations: (X'X)^(-1)b = X'y ⇒ b = (X'X)^(-1) X'y
Xt = matrix.transpose(X_tr) // X'
XtX = matrix.mult(Xt, X_tr) // (X'X)
Xty = matrix.mult(Xt, y) // X'y
XtX_inv = matrix.inv(XtX) // (X'X)^(-1)
b = matrix.mult(XtX_inv, Xty) // b = (X'X)^(-1) X'y
// Predictions for all rows (fit + extrap)
preds = matrix.mult(X_all, matrix.col(b,0))
preds
Extrapolated Future Projections:
Forward-looking range (dashed lines + circular markers) shows where the fitted polynomial suggests price may move.
Dynamic Midline Coloring:
Regression midline shifts green when slope turns upward and magenta when slope turns downward, giving instant directional context.
Channel Boundaries:
Upper and lower levels expand from the midline using a volatility-based offset, framing potential overbought and oversold conditions.
Top-Right Data Table:
A live table displays Upper, Middle, and Lower Prediction values, updating in real time for quick reference without scanning the chart.
⯁ USAGE
Use the regression midline to gauge underlying market bias; green slopes suggest continuation, magenta slopes caution for weakness.
Watch dashed extrapolated ranges as potential targets or reaction zones during upcoming sessions.
Price labels and table values act as precise reference levels for planning entries, exits, or stop placement.
Increase Degree for more curve-fitting on choppy markets, or keep it low for broader trend approximation.
Adjust Period and Extrapolate length to balance stability vs. responsiveness.
⯁ CONCLUSION
The Polynomial Regression Channel offers a mathematically advanced way to visualize price trends and anticipate future paths. With matrix-driven polynomial fitting, extrapolated projections, and integrated live labels, it combines statistical rigor with practical trading visuals — a robust upgrade over standard regression channels.
Historical Returns [BigBeluga]🔵 OVERVIEW
The Historical Returns indicator visualizes daily and monthly return data to help traders assess seasonal performance and volatility behavior. It provides a clean and informative dashboard showing the current month’s daily return bubbles, monthly return curves, and a snapshot of the current month and year performance. This tool is ideal for spotting recurring return patterns and understanding the broader profitability context of a symbol.
🔵 CONCEPTS
Daily Return Bubbles: Each trading day is analyzed for its return percentage, and plotted as a bubble with size proportional to the return magnitude.
Monthly Performance Curves: Average or cumulative returns are calculated and plotted to show how the current month is performing relative to historical averages.
Current Year Return: Current year performance as a single return value, giving traders context on long-term profitability.
Current Month Average Return: Current month average performance as a single return value, giving traders context on short-term profitability.
Extreme Return Labels: Optionally highlights daily returns above +4% or below -4% with labeled percentages for spike recognition.
🔵 FEATURES
Shows daily return bubbles (1%–7%+), color-coded by direction.
Labels monthly returns with the month name and percentage value.
Displays a performance dashboard with:
Daily return heatmap for the current month.
Average return for the current month.
Year-to-date return.
Toggle between average and cumulative modes for monthly return curves.
Clearly marks days with abnormal return spikes using optional labels.
Clean fallback warning if not on a daily chart ("⚠️USE DAILY TIMEFRAME").
Custom color themes for bullish and bearish values.
🔵 HOW TO USE
Use the monthly return curve to compare how the current month is performing against historical averages.
Look for clusters of positive or negative bubbles as signals of strong directional weeks.
Watch extreme return labels for volatility spikes or catalyst days.
Use year-to-date return to assess how the asset is trending in the broader macro cycle.
Combine with other BigBeluga tools to align trades with historically favorable periods.
🔵 CONCLUSION
Historical Returns is your visual companion for return analytics — helping you identify profitable months, detect volatility surges, and understand historical seasonality at a glance. With a clean dashboard and insightful overlays, this tool supports better timing and improved statistical edge in both short- and long-term trades.
MTG v1MTG v1 is a complete trend-following trading system that combines:
PSAR (Parabolic SAR) - Trend direction
EMAs (5, 13, 50) - Momentum confirmation
AMA (Adaptive Moving Average) - Intelligent exits
Smart Filters - Volume, ATR, choppy market detection
Purpose: Catch strong trends early and ride them for maximum profit.
Liquidity Trap Detector Pro [PyraTime]The Problem: Why You Get Stopped Out
90% of retail traders place their stop-losses at obvious swing highs and lows. Institutional algorithms ("Smart Money") are programmed to push price through these levels to trigger liquidity, fill their heavy orders, and then immediately reverse the market.
If you have ever had your stop hit right before the market moves exactly where you predicted—you were the victim of a Liquidity Trap.
The Solution: Visualizing the "Stop Hunt"
Liquidity Trap Detector Pro is not just a support/resistance indicator. It is a comprehensive Reversal Scoring Engine.
Unlike standard indicators that spam signals on every wick, this tool uses a proprietary 5-Star Scoring System to analyze the quality of the trap. It validates every signal using Wick Symmetry, RSI Divergence, and Volume Analysis to separate a true reversal from a trend continuation.
Key Features (USP)
- 5-Star Scoring Engine: Every signal is rated from 1 to 5 stars. Stop guessing if a signal is valid; let the algorithm check the confluence for you.
- Glassmorphism Visuals: Gone are the messy lines. We use modern, semi-transparent "Liquidity Zones" that keep your chart clean and professional.
- Smart Terminology: Automatically identifies Bull Traps (Buyers trapped at highs) and Bear Traps (Sellers trapped at lows).
- Heads-Up Display (HUD): A professional dashboard monitors the market state, active filters, and recent trap statistics in real-time.
- Strict Non-Repainting: (Technical Note) This script uses strict non-repainting logic. All Higher Timeframe (HTF) data is confirmed and closed before a signal is generated, ensuring historical accuracy.
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Tutorial: How to Trade This Indicator
1. Understanding the Signals
We use correct institutional terminology to describe the market mechanics:
GREEN Signal (BEAR TRAP):
- What happened: Price swept a Swing Low, enticing sellers (Bears) to enter. The candle then reversed and closed back inside the range, trapping those sellers.
- The Trade: This is a Bullish Reversal setup (Long).
RED Signal (BULL TRAP):
- What happened: Price swept a Swing High, enticing buyers (Bulls) to breakout. The candle reversed and closed lower, trapping the buyers.
- The Trade: This is a Bearish Reversal setup (Short).
2. The 5-Star Scoring System
Not all traps are created equal. The stars tell you how much "Confluence" exists:
- 1 Star: A basic structure sweep. Risky.
- 3 Stars: A solid setup backed by either Volume or Divergence.
- 5 Stars: The "Perfect" Trap. Structure Sweep + RSI Divergence + Volume Spike + Wick Symmetry. High Probability.
3. The Strategy
- Wait for the Zone: Watch price approach a coloured Liquidity Zone.
- Observe the Reaction: Do not trade blindly. Wait for the candle to close.
- Check the Stars: Look for at least 3 Stars before considering an entry.
- Confirm with HUD: Glance at the Dashboard to ensure the "RSI Filter" and "Vol Filter" agree with your analysis.
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Settings Guide
Structure Settings:
- Pivot Lookback: Adjusts how sensitive the zones are (Default: 10/5).
- HTF Confirmation: Optional filter to only show traps that align with Higher Timeframe structure (e.g., 1H or 4H).
Quality Filters:
- RSI Divergence: Requires momentum to disagree with price (classic reversal sign).
- Volume Spike: Requires volume to be higher than average (Smart Money footprint).
Visuals:
- Clean Mode: A presenter-favorite feature. Hides all historical zones and leaves only the active setup—perfect for taking screenshots or sharing analysis.
Disclaimer
This tool is designed to assist with technical analysis and identifying potential areas of interest. It does not guarantee profits. Trading involves significant risk; always use proper risk management.
CPR Projection1. CPR
2. Camarila 3, 4, 5
3. Previous day High
4. Previous day Low
5. Tomorrow CPR
6. EMA with variable font
Fractal Market Geometry [JOAT]
Fractal Market Geometry
Overview
Fractal Market Geometry is an open-source overlay indicator that combines fractal analysis with harmonic pattern detection, Fibonacci retracements and extensions, Elliott Wave concepts, and Wyckoff phase identification. It provides traders with a geometric framework for understanding market structure and identifying potential reversal patterns with multi-factor signal confirmation.
What This Indicator Does
The indicator calculates and displays:
Fractal Detection - Identifies fractal highs and lows using Williams-style pivot analysis with configurable period
Fractal Dimension - Calculates market complexity using range-based dimension estimation
Harmonic Patterns - Detects Gartley, Butterfly, Bat, Crab, Shark, Cypher, and ABCD patterns using Fibonacci ratios
Fibonacci Retracements - Key levels at 38.2%, 50%, and 61.8%
Fibonacci Extensions - Projection level at 161.8%
Elliott Wave Count - Simplified wave counting based on pivot detection (1-5)
Wyckoff Phase - Volume-based phase identification (Accumulation, Markup, Distribution, Neutral)
Golden Spiral Levels - ATR-based support and resistance levels using phi (1.618) ratio
Trend Detection - EMA crossover trend identification (20/50 EMA)
How It Works
Fractal detection uses a configurable period to identify swing points:
detectFractalHigh(simple int period) =>
bool result = true
float centerVal = high
for i = 0 to period - 1
if high >= centerVal or high >= centerVal
result := false
break
Harmonic pattern detection uses Fibonacci ratio analysis between swing points. Each pattern has specific ratio requirements:
Gartley: AB 0.382-0.618, BC 0.382-0.886, CD 1.27-1.618
Butterfly: AB 0.382-0.5, BC 0.382-0.886, CD 1.618-2.24
Bat: AB 0.5-0.618, BC 1.13-1.618, CD 1.618-2.24
Crab: AB 0.382-0.618, BC 0.382-0.886, CD 2.24-3.618
Shark: AB 0.382-0.618, BC 1.13-1.618, CD 1.618-2.24
Cypher: AB 0.382-0.618, BC 1.13-1.414, CD 0.786-0.886
Wyckoff phase detection analyzes volume relative to price movement:
wyckoffPhase(simple int period) =>
float avgVol = ta.sma(volume, period)
float priceChg = ta.change(close, period)
string phase = "NEUTRAL"
if volume > avgVol * 1.5 and math.abs(priceChg) < close * 0.02
phase := "ACCUMULATION"
else if volume > avgVol * 1.5 and math.abs(priceChg) > close * 0.05
phase := "MARKUP"
else if volume < avgVol * 0.7
phase := "DISTRIBUTION"
phase
Signal Generation
Signals use multi-factor confirmation for accuracy:
BUY Signal: Fractal low + Uptrend (EMA20 > EMA50) + RSI 30-55 + Bullish candle + Volume confirmation
SELL Signal: Fractal high + Downtrend (EMA20 < EMA50) + RSI 45-70 + Bearish candle + Volume confirmation
Pattern Detection: Label appears when harmonic pattern completes at current bar
Dashboard Panel (Top-Right)
Dimension - Fractal dimension value (market complexity measure)
Last High - Most recent fractal high price
Last Low - Most recent fractal low price
Pattern - Current harmonic pattern name or NONE
Elliott Wave - Current wave count (Wave 1-5) or OFF
Wyckoff - Current market phase or OFF
Trend - BULLISH, BEARISH, or NEUTRAL based on EMA crossover
Signal - BUY, SELL, or WAIT status
Visual Elements
Fractal Markers - Small triangles at fractal highs (down arrow) and lows (up arrow)
Geometry Lines - Dashed lines connecting the most recent fractal high and low
Fibonacci Levels - Clean horizontal lines at 38.2%, 50%, and 61.8% retracement levels
Fibonacci Extension - Horizontal line at 161.8% extension level
Golden Spiral Levels - Support and resistance lines based on ATR x 1.618
3D Fractal Field - Optional depth layers around swing levels (OFF by default)
Harmonic Pattern Markers - Small diamond shapes when Crab, Shark, or Cypher patterns detected
Pattern Labels - Text label showing pattern name when detected
Signal Labels - BUY/SELL labels on confirmed multi-factor signals
Input Parameters
Fractal Period (default: 5) - Bars on each side for fractal detection
Geometry Depth (default: 3) - Complexity of geometric calculations
Pattern Sensitivity (default: 0.8) - Tolerance for pattern ratio matching
Show Fibonacci Levels (default: true) - Display retracement levels
Show Fibonacci Extensions (default: true) - Display extension level
Elliott Wave Detection (default: true) - Enable wave counting
Wyckoff Analysis (default: true) - Enable phase detection
Golden Spiral Levels (default: true) - Display spiral support/resistance
Show Fractal Points (default: true) - Display fractal markers
Show Geometry Lines (default: true) - Display connecting lines
Show Pattern Labels (default: true) - Display pattern name labels
Show 3D Fractal Field (default: false) - Display depth layers
Show Harmonic Patterns (default: true) - Display pattern markers
Show Buy/Sell Signals (default: true) - Display signal labels
Suggested Use Cases
Identify potential reversal zones using harmonic pattern completion
Use Fibonacci levels for entry, stop-loss, and target planning
Monitor Wyckoff phases for accumulation/distribution awareness
Track Elliott Wave counts for trend structure analysis
Use fractal dimension to gauge market complexity
Wait for multi-factor signal confirmation before entering trades
Timeframe Recommendations
Best on 1H to Daily charts. Lower timeframes produce more fractals but with less significance. Higher timeframes provide stronger levels and more reliable signals.
Limitations
Harmonic pattern detection uses simplified ratio ranges and may not match all textbook definitions
Elliott Wave counting is basic and does not include all wave rules
Wyckoff phase detection is volume-based approximation
Fractal dimension calculation is simplified
Signals require fractal confirmation which has inherent lag equal to the fractal period
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always use proper risk management.
- Made with passion by officialjackofalltrades
4H HOD/LOD Checkpoint Analysis4H HOD/LOD Checkpoint Analysis - Detailed User Guide
OVERVIEW
This indicator is a data-driven probability framework for NQ Futures traders that predicts High-of-Day (HOD) and Low-of-Day (LOD) placement based on statistical analysis of 3,136+ trading days (2013-2025). Unlike traditional indicators that rely on technical signals, this tool uses checkpoint-based state analysis with zero forward-looking bias to provide real-time probabilities of whether the daily range is complete.
⚠️ IMPORTANT: This indicator is specifically designed for NQ FUTURES ONLY. All probabilities, patterns, and statistics were derived from a 10+ year historical dataset of NQ 1-minute bars. Using this on other instruments will produce inaccurate results.
CORE CONCEPT: CHECKPOINT METHODOLOGY
What is a Checkpoint?
A checkpoint occurs when a 4-hour candle closes. At this moment, the indicator "locks" the current market state and calculates probabilities for the remainder of the trading day. The key innovation is that state never changes after locking - probabilities remain constant throughout the session until the next checkpoint.
The Six 4-Hour Candles (EST):
6PM (18:00-22:00) - Evening/Globex open
10PM (22:00-02:00) - Asia session
2AM (02:00-06:00) - Early London
6AM (06:00-10:00) - Late London + NY Open
10AM (10:00-14:00) - NY Morning
2PM (14:00-17:00) - NY Afternoon (3 hours only)
Five Checkpoints:
10PM Checkpoint - After 6PM closes
2AM Checkpoint - After 10PM closes
6AM Checkpoint - After 2AM closes
10AM Checkpoint - After 6AM closes (most critical)
2PM Checkpoint - After 10AM closes (highest conviction fade signals)
HOW IT WORKS: THE THREE-FACTOR STATE SYSTEM
At each checkpoint, the indicator evaluates three critical factors to determine probability:
1. ELIMINATIONS (Quantity)
An "elimination" occurs when a candle trades beyond a previous candle's high or low, effectively removing that candle from contention for HOD/LOD.
Example at 10AM Checkpoint:
6PM high = 18,000
10PM high = 18,050 (eliminates 6PM high)
2AM high = 18,100 (eliminates 10PM high)
6AM high = 18,075 (does NOT eliminate 2AM high)
Result: 2 eliminations
The number of eliminations indicates trend strength:
0 eliminations = Range-bound, high probability extremes already set
1-2 eliminations = Moderate trend
3-4 eliminations = Strong trend day, range likely to extend
2. STRUCTURE (Pattern Type)
The indicator distinguishes between two elimination patterns:
Sequential: Eliminations occur in order (6pm → 10pm → 2am → 6am → 10am)
Indicates smooth, consistent trend
Example: 10pm eliminates 6pm, then 2am eliminates 10pm (sequential)
Skip: Eliminations skip candles
Indicates choppy/reversal behavior
Example: 2am eliminates 6pm but NOT 10pm (skip pattern)
Why it matters: Skip patterns show 2X probability differences compared to sequential patterns. At 10AM checkpoint with 2 eliminations, skip pattern shows 64% participation rate vs 36% for sequential pattern with previous survived.
3. PREVIOUS CANDLE STATUS
Did the immediately prior candle get eliminated?
Eliminated: Previous candle's high/low was taken out
Indicates relentless trend
Higher probability of continuation
Survived: Previous candle's high/low still intact
Indicates trend pause
Higher probability of mean reversion or range completion
Critical insight: High and low are tracked separately. At 2AM checkpoint, 10PM might have eliminated 6PM high (relentless uptrend) but NOT eliminated 6PM low (low survived). This creates different probabilities for HOD vs LOD.
VISUAL ELEMENTS
4-Hour Candle Boxes
Each 4H candle is displayed as a colored box showing its range:
Gray = 6PM (evening)
Blue = 10PM (Asia)
Purple = 2AM (early London)
Orange = 6AM (London + NY Open) - THE CURVE SESSION
Teal = 10AM (NY morning) - THE MONEY SESSION
Red = 2PM (NY afternoon) - THE FADE SESSION
HOD/LOD Lines
Black horizontal lines extend from current HOD/LOD with labels showing:
Which candle set the extreme
Current price level
THE CHECKPOINT TABLE EXPLAINED
Table Header:
Shows current checkpoint (e.g., "🎯 10AM CHECKPOINT") or "⏳ PRE-CHECKPOINT" if between checkpoints.
Main Metrics (Side-by-Side Comparison):
The table displays HOD and LOD separately in two columns because they can have different patterns:
METRIC
HODLOD Eliminations
Number of candles eliminated so far for highs
Number of candles eliminated so far for lows
Structure
Sequential or Skip pattern for highs
Sequential or Skip pattern for lows
Prev Candle
Was previous candle's high eliminated or did it survive?
Was previous candle's low eliminated or did it survive?
Pattern
Combined interpretation: Relentless/Paused/Skip/Early
Combined interpretation: Relentless/Paused/Skip/Early
Color Coding:
Structure Row:
White = Sequential (smooth trend)
Orange = Skip (choppy/reversal)
Previous Candle Row:
Red = Eliminated (relentless trend continuing)
Blue = Survived (trend paused)
Pattern Row:
Red = Relentless (previous eliminated + sequential = strong trend)
Blue = Paused (previous survived + sequential = trend pause)
Orange = Skip/Chop (skip pattern = reversal likely)
Gray = Early (0-1 eliminations, too early to tell)
Probability Section:
Prob Already In: Percentage chance that HOD/LOD has already been set
Color coding:
Green (>75%) = High confidence extreme is in, FADE
Yellow (45-75%) = Moderate confidence
Red (<45%) = Low confidence extreme is in, CONTINUATION likely
Sample Size: Shows how many historical occurrences match this exact state (n=XXX)
Larger samples = higher confidence
Most common states have n=500-2,000+
Current: Which candle currently holds HOD/LOD
Pattern Guide Section:
Appears when you have 2+ eliminations. Provides interpretation:
📈 Paused: Trend has paused, 2pm more likely to set extreme
📈 Relentless: Breaking higher/lower, continuation expected
📈 Skip/Chop: Choppy pattern, next session likely
Same for lows with 📉 symbol.
PRACTICAL TRADING EXAMPLES
Example 1: High Conviction Fade Setup
State at 10AM Checkpoint:
Eliminations: 0 (both HOD/LOD)
Structure: None (no eliminations yet)
Prev Candle: Survived
Table shows:
HOD Prob Already In: 68.9% (n=582)
LOD Prob Already In: 73.6% (n=785)
Interpretation: Range is likely complete. Fade extremes. With 0 eliminations and 70%+ probability, this is a high-conviction mean reversion signal.
Example 2: Strong Continuation Signal
State at 10AM Checkpoint:
Eliminations: 3 (both HOD/LOD)
Structure: Sequential
Prev Candle: Eliminated (relentless)
Table shows:
HOD Prob Already In: 29.8% (n=1,758)
LOD Prob Already In: 34.6% (n=1,451)
Pattern: 📈 Relentless / 📉 Relentless
Interpretation: Strong trend day. Only 30-35% chance range is complete. Look for breakouts in direction of trend. 10AM and 2PM likely to extend range.
Example 3: Pattern Structure Edge
State at 10AM Checkpoint:
Eliminations: 2 (HOD)
Structure: Skip (orange background)
Prev Candle: Eliminated vs Alternative State:
Eliminations: 2 (HOD)
Structure: Sequential
Prev Candle: Survived
Result: Skip pattern shows 64% chance 10AM participates vs 36% for sequential+survived. Skip pattern = 2X more likely to see 10AM high. This structural edge is unique to this indicator.
Example 4: Different HOD vs LOD Patterns
State at 10AM Checkpoint:
HOD: 2 eliminations, Sequential, Previous Eliminated (Relentless) = 46.7% in
LOD: 2 eliminations, Skip, Previous Eliminated (Choppy) = 48.4% in
Interpretation: Highs show relentless uptrend but lows show choppy behavior. This divergence suggests potential for upside continuation but with volatility. Not a clean trend day.
KEY CHECKPOINT STATISTICS (DERIVED FROM 10-YEAR DATASET)
10PM Checkpoint (After 6PM):
Very early in day
13.5% HOD in, 21.3% LOD in
Most likely outcome: Range extends into 6AM/10AM
2AM Checkpoint (After 10PM):
Still early
With 0 elims: 22-31% in (balanced)
With 1 elim: 8-12% in (strong trend signal)
6AM Checkpoint (After 2AM) - Critical Decision Point:
With 0 elims: 40-47% in (balanced, could go either way)
With 2 elims: 18-22% in (strong trend into 6AM/10AM)
Most likely outcome: 10AM sets extremes (~38-40%)
10AM Checkpoint (After 6AM) - Highest Conviction:
With 0 elims: 69-74% in → FADE (high confidence)
With 3 elims: 30-35% in → BUY/SELL continuation
This is THE money checkpoint for high-probability setups
2PM Checkpoint (After 10AM) - Maximum Fade Conviction:
With 0-3 elims: 67-95% in → FADE strongly
With 4 elims: 49-61% in (monster trend, weaker fade)
2PM is primarily a mean reversion session
UNDERSTANDING THE UNDERLYING DATA
All probabilities are derived from analysis of:
Instrument: NQ Futures (E-mini NASDAQ-100)
Timeframe: 1-minute bars
Period: January 2013 - December 2025
Sample: 3,136+ complete trading days
Methodology: Real-time checkpoint analysis with zero forward-looking bias
Why NQ-Specific?
Each futures contract has unique:
Session characteristics (6AM in NQ shows 60-64% curve behavior, other sessions differ)
Timing patterns (NQ's 10AM session has 67-74% immediate takeouts)
Volatility profiles (NQ 2PM shows 56% bullish bias vs ES shows different bias)
Using this indicator on ES, RTY, or other instruments will produce inaccurate results because the probability tables are NQ-specific.
ORIGINALITY & INNOVATION
What Makes This Indicator Unique:
Zero Forward-Looking Bias: State locks at checkpoint moments. Traditional indicators recalculate continuously, introducing bias. This indicator freezes probabilities at the exact moment a 4H candle closes.
Three-Factor State System: Combines elimination count, structure pattern, and previous candle status. Most indicators only track one dimension. This multi-factor approach provides 2X+ probability differentials.
Separate HOD/LOD Tracking: Highs and lows can have different patterns simultaneously (relentless high with choppy low). This indicator tracks them separately for precision.
Pattern Structure Analysis: Distinguishes between sequential and skip patterns, a concept not found in standard indicators. Skip patterns show mean reversion while sequential shows continuation.
10+ Year Statistical Foundation: Every probability is backed by hundreds to thousands of historical occurrences (sample sizes shown in table). Not based on theories or assumptions.
Checkpoint-Specific Probabilities: Different checkpoints have different probability profiles. 10AM checkpoint with 0 eliminations = 70%+ fade. 6AM checkpoint with same state = 40%+ fade. Context matters.
HOW TO USE THIS INDICATOR
Step 1: Wait for Checkpoint
The table will show "⏳ PRE-CHECKPOINT" until a 4H candle closes. Probabilities are only valid at checkpoint moments.
Step 2: Read the State
Check the three factors:
How many eliminations?
Sequential or skip?
Previous candle eliminated or survived?
Step 3: Check Probability
Look at "Prob Already In" percentage:
>75% (Green) = High confidence extreme is set, fade
45-75% (Yellow) = Moderate confidence, use other confirmation
<45% (Red) = Low confidence extreme is set, continuation likely
Step 4: Check Sample Size
Larger sample (n=1,000+) = higher confidence
Smaller sample (n=50-200) = use caution, edge is real but less robust
Step 5: Consider Pattern
Read the pattern guide:
Relentless = trend continuing
Paused = trend stalled, mean reversion
Skip/Chop = reversal/range likely
Step 6: Compare HOD vs LOD
If both show similar patterns = cleaner signal
If divergent patterns = complex day, be cautious
BEST PRACTICES
Focus on 10AM and 2PM checkpoints - These have the highest conviction signals
Combine with price action - Don't fade blindly at 90% probability if price is breaking out strongly
Larger samples = better edges - Prioritize setups with n=500+
Watch for pattern divergence - When HOD and LOD show different patterns, expect complexity
Remember session characteristics:
6AM = THE CURVE SESSION (60-64% mean reversion when Q2 breaks Q1)
10AM = THE MONEY SESSION (67-74% immediate takeouts, highest conviction)
2PM = THE FADE SESSION (67-95% extremes already in)
SETTINGS
Show 4H Candle Boxes - Display colored boxes for each 4H candle
Show HOD/LOD Lines - Display horizontal lines at current extremes
Show Checkpoint Analysis - Display probability table
Table Position - Choose where to place the checkpoint table
Table Size - Tiny/Small/Normal
Colors - Customize box colors for each session
LIMITATIONS & DISCLAIMERS
NQ FUTURES ONLY - Do not use on other instruments
Not a standalone system - Use as confluence with your strategy
Historical data - Past performance doesn't guarantee future results
Sample size variance - Some states have smaller samples, use judgment
Requires understanding - Read this guide fully before trading with this tool
FINAL NOTES
This indicator represents 10+ years of NQ futures data distilled into actionable, real-time probabilities. The checkpoint methodology ensures zero forward-looking bias, while the three-factor state system provides granular edge that traditional indicators miss.
Remember: This tool provides probabilities, not certainties. Trade with proper risk management, and use this as one input in your decision-making process.
4H Candle Curves4H Candle Curves - Detailed User Guide
OVERVIEW
This indicator reveals curve vs continuation behavior in NQ Futures by analyzing how price responds after breaking the first-hour range. Based on 10+ years of statistical analysis (2013-2025, 3,136+ trading days), it identifies which 4-hour sessions exhibit mean reversion (curve) behavior versus trend continuation when Q2 (second hour) breaks Q1 (first hour) extremes.
⚠️ IMPORTANT: This indicator is specifically designed for NQ FUTURES ONLY. All curve probabilities and statistics were derived from a decade-long dataset of NQ 1-minute bars. Using this on other instruments will produce inaccurate results.
CORE CONCEPT: THE CURVE
What is a "Curve"?
A curve occurs when price breaks out of the first hour's range in Q2 (hour 2), but then reverses direction in the second half (Q3+Q4) to make a new extreme on the opposite side.
Curve Example (Upside Break → Downside Reversal):
Q1 (Hour 1): Price establishes range 25,000 - 25,050
Q2 (Hour 2): Price breaks ABOVE Q1 high, reaches 25,100
Q3+Q4 (Hours 3-4): Price curves back down, makes new LOW below 25,000
Result: Q2 broke high, but second half curved back to make new low below Q1 = CURVE
What is "Continuation"?
Continuation occurs when Q2 breaks Q1 range and the second half extends further in the same direction.
Continuation Example (Upside Break → Further Upside):
Q1 (Hour 1): Price establishes range 25,000 - 25,050
Q2 (Hour 2): Price breaks ABOVE Q1 high, reaches 25,100
Q3+Q4 (Hours 3-4): Price continues higher, makes new HIGH above 25,100
Result: Q2 broke high, second half made new high above Q2 = CONTINUATION
THE CRITICAL DISCOVERY: 6AM IS THE CURVE SESSION
Curve Probabilities by Session:
When Q2 Breaks Q1 HIGH:
6AM: 60.6% curve (new low below Q1) | 38.5% continuation
2AM: 38.4% curve | 46.7% continuation (balanced)
10AM: 17.2% curve | 60.4% continuation ← STRONG continuation bias
6PM: 29.6% curve | 59.0% continuation
10PM: 27.5% curve | 55.1% continuation
When Q2 Breaks Q1 LOW:
6AM: 64.4% curve (new high above Q1) | 35.0% continuation ← HIGHEST curve
2AM: 42.8% curve | 43.3% continuation (balanced)
10AM: 16.7% curve | 51.6% continuation ← STRONG continuation bias
6PM: 33.7% curve | 51.1% continuation
10PM: 33.1% curve | 48.6% continuation
Key Insight:
6AM is THE ONLY SESSION with >60% curve probability in both directions. This makes it a uniquely exploitable mean reversion session. When Q2 breaks Q1 range during 6AM, expect the second half to curve back 60-64% of the time.
10AM shows the opposite: Strong continuation bias (60% when Q2 breaks high, 52% when Q2 breaks low). 10AM breakouts tend to follow through.
HOW IT WORKS: THE QUARTER SYSTEM
The Six 4-Hour Candles (EST):
Each trading day (6pm-5pm) is divided into six 4-hour periods:
6PM (18:00-22:00) - Evening/Globex open | Blue box
10PM (22:00-02:00) - Asia session | Purple box
2AM (02:00-06:00) - Early London | Orange box
6AM (06:00-10:00) - Late London + NY Open | Green box ← THE CURVE SESSION
10AM (10:00-14:00) - NY Morning | Red box ← THE CONTINUATION SESSION
2PM (14:00-17:00) - NY Afternoon | Yellow box (3 hours only)
The Four Quarters:
Each 4-hour candle (except 2PM) is divided into four 1-hour quarters:
Q1 (Hour 1, minutes 0-60): Establishes initial range
Q2 (Hour 2, minutes 60-120): Tests Q1 range - breaks or holds?
Q3 (Hour 3, minutes 120-180): Second half begins
Q4 (Hour 4, minutes 180-240): Second half completes
2PM candle only has 3 hours (14:00-17:00), so quarters are adjusted accordingly.
The Three-Step Analysis:
STEP 1: Q1 Establishes Range
The first hour sets the high and low for the session. This becomes the reference range.
STEP 2: Q2 Break Detection
The indicator monitors whether Q2 (hour 2) breaks above Q1 high or below Q1 low.
STEP 3: Second Half Response
Once Q2 breaks Q1 range, the indicator tracks what happens in Q3+Q4:
Does price CURVE back to make new extreme on opposite side?
Does price CONTINUE to make new extreme in same direction?
Or does price stay within the established range?
VISUAL ELEMENTS EXPLAINED
1. 4-Hour Candle Boxes
Colored boxes display the high-to-low range of each 4H candle:
Blue = 6PM (evening session start)
Purple = 10PM (Asia session)
Orange = 2AM (early London)
Green = 6AM ← THE CURVE SESSION (watch for mean reversion)
Red = 10AM ← THE CONTINUATION SESSION (trend follow-through)
Yellow = 2PM (afternoon close, 3 hours only)
2. Quarter Separator Lines
Vertical dotted lines mark the boundaries between quarters (1H, 2H, 3H marks). This helps you see:
When Q1 ends (after 1 hour)
When Q2 ends / second half begins (after 2 hours)
When Q3 ends (after 3 hours)
3. Candle Name Labels
At the 2-hour mark (Q2/Q3 boundary), a label shows:
Candle name (e.g., "6am")
Directional indicator:
🔼 = Q2 broke Q1 HIGH
🔽 = Q2 broke Q1 LOW
⚠️ = Q2 broke BOTH Q1 high and low (extended range)
No symbol = Q2 stayed within Q1 range
THE LIVE STATUS TABLE
Located in your chosen corner (default: bottom-right), this table shows real-time analysis of the current 4H candle.
Header Row:
"LIVE: CANDLE" - Shows which 4H session you're currently in
Quarter Row:
"Quarter: Q1/Q2/Q3/Q4 (Hour X)" - Shows which quarter you're currently forming
STATUS Section:
The status updates dynamically based on what has happened:
During Q1-Q2 (First Half):
"⏳ Q1 Building..." - First hour forming, range being established
"⏳ Q2 Building..." - Second hour in progress, Q2 within Q1 range so far
"🔼 Q2 Broke Q1 HIGH" - Q2 has broken above Q1 high
"🔽 Q2 Broke Q1 LOW" - Q2 has broken below Q1 low
"⚠️ Q2 Broke BOTH Q1 Extremes" - Q2 extended range in both directions
During Q3-Q4 (Second Half):
"✓ CURVE CONFIRMED" - Q2 broke one direction, second half reversed to opposite side
"✓ CONTINUATION CONFIRMED" - Q2 broke one direction, second half extended further same direction
"⏳ 2nd Half In Progress" - Q2 broke Q1, waiting to see if curve or continuation
"📊 No Q2 Break Occurred" - Q2 stayed within Q1 range (no curve/continuation setup)
EXPECTATION Section:
Shows the probabilities based on the current state:
When Q2 breaks Q1 high in 6AM:
EXPECT 2nd half:
CURVE (low < Q1): 60.6%
CONT (high > Q2): 38.5%
This tells you there's a 60.6% chance the second half will curve back to make a new low below Q1, versus 38.5% chance it continues higher above Q2.
When curve/continuation is confirmed:
Q2 broke high → 2nd half made new LOW below Q1
Curve: 60.6%
Shows what actually happened and the historical probability.
Color Coding:
Purple background = Curve confirmed (mean reversion occurred)
Green background = Continuation confirmed (upside extension)
Red background = Continuation confirmed (downside extension)
Blue background = Second half in progress, watching
Yellow background = No Q2 break (no setup)
Gray background = Still in first half, building
THE CURVE REFERENCE TABLE
Located in your chosen corner (default: bottom-left), this table provides a quick reference for all sessions.
Table Structure:
TOP SECTION: "When Q2 BREAKS Q1 HIGH"
BOTTOM SECTION: "When Q2 BREAKS Q1 LOW"
How to Read:
"Curve" column = % of time second half makes new extreme on OPPOSITE side
"Cont" column = % of time second half makes new extreme in SAME direction
"Winner" column = Which behavior is more likely
Purple highlight = Curve is the winner (higher %)
Blue highlight = Continuation is the winner
🔥 symbol = Strong edge (>60%)
Quick Reference Usage:
You're in 10AM session, Q2 just broke Q1 high. Look at top section, 10AM row:
Curve: 17.2%
Cont: 60.4%
Winner: CONT
Interpretation: 10AM breakouts tend to follow through. Only 17% chance of curving back. Trade with the break, not against it.
PRACTICAL TRADING EXAMPLES
Example 1: Perfect 6AM Curve Setup
Scenario:
6AM candle in progress
7:00 AM: Q1 ends, range is 18,000 - 18,050
7:30 AM: Price breaks above 18,050, reaches 18,075 (Q2 broke Q1 high)
Live table shows: "🔼 Q2 Broke Q1 HIGH"
Expectation: "CURVE (low < Q1): 60.6%"
Trading Decision:
Even though price broke to new highs, the 60.6% curve probability suggests looking for short opportunities expecting price to curve back below 18,000 in Q3-Q4.
Typical Outcome:
8:15 AM (Q3): Price starts declining
9:15 AM (Q4): Price makes new low at 17,990
Result: ✓ CURVE CONFIRMED
Example 2: 10AM Continuation Signal
Scenario:
10AM candle in progress
11:00 AM: Q1 ends, range is 18,100 - 18,150
11:45 AM: Price breaks above 18,150, reaches 18,180 (Q2 broke Q1 high)
Live table shows: "🔼 Q2 Broke Q1 HIGH"
Expectation: "CONT (high > Q2): 60.4%"
Trading Decision:
With 60.4% continuation probability, breakout likely to follow through. Look for long opportunities expecting extension above 18,180 in Q3-Q4.
Typical Outcome:
12:30 PM (Q3): Price continues higher to 18,200
1:15 PM (Q4): Price makes new high at 18,225
Result: ✓ CONTINUATION CONFIRMED
Example 3: Using Reference Table During Live Trading
You see Q2 breaking Q1 low during 2AM session:
Quick reference check:
2AM row, "When Q2 BREAKS Q1 LOW" section
Curve: 42.8% | Cont: 43.3% | Winner: Balanced
Interpretation: This is a coin flip - 2AM session is balanced when Q2 breaks low. Don't force a directional bias. Wait for second half price action confirmation or skip the setup.
Example 4: No Setup Scenario
Scenario:
6AM candle, Q2 ends at 8:00 AM
Q2 stayed within Q1 range (no break above or below)
Live table shows: "📊 No Q2 Break Occurred"
Trading Decision:
No curve/continuation setup exists. This analysis only applies when Q2 breaks Q1 range. Monitor for different strategies or wait for next 4H candle.
UNDERSTANDING THE UNDERLYING METHODOLOGY
Data Foundation:
Instrument: NQ Futures (E-mini NASDAQ-100)
Timeframe: 1-minute bars for precise quarter tracking
Period: January 2013 - December 2025
Sample: 3,136+ complete trading days
Total 4H Candles Analyzed: ~18,800+ individual sessions
Analysis Process:
For each 4H candle in the dataset:
Calculate Q1 high and low (first hour range)
Track whether Q2 breaks Q1 high, Q1 low, both, or neither
When Q2 breaks Q1 range, measure second half response:
Did Q3+Q4 make new low below Q1? (curve when Q2 broke high)
Did Q3+Q4 make new high above Q1? (curve when Q2 broke low)
Did Q3+Q4 make new high above Q2? (continuation when Q2 broke high)
Did Q3+Q4 make new low below Q2? (continuation when Q2 broke low)
Calculate percentages for each session
Why NQ-Specific?
Different futures contracts exhibit different intraday personality:
NQ (NASDAQ):
Tech-heavy, volatility-prone
6AM shows extreme curve behavior (60-64%) due to NY Open reversal tendency
10AM shows strong continuation (60%) as trends establish
ES (S&P 500) would show different probabilities because:
Lower volatility than NQ
Different institutional participation patterns
Different response to macro events
The indicator's probabilities are calibrated specifically to NQ behavior patterns. Using it on ES, RTY, or other instruments will produce misleading signals.
ORIGINALITY & INNOVATION
What Makes This Indicator Unique:
Quarter-Based Curve Analysis: Unlike traditional indicators that only identify breakouts, this tracks what happens after the breakout. The curve vs continuation framework is novel and provides directional edge.
Session-Specific Behavior: Recognizes that 6AM behaves fundamentally differently than 10AM. Most indicators apply the same logic across all sessions. This indicator provides session-specific probabilities.
Statistical Validation: Every probability shown is backed by 10+ years of data (2,900+ candles per session). Not based on theory or discretionary observation.
Real-Time Quarter Tracking: Precisely identifies which quarter you're in and what stage of the pattern is forming. Provides forward-looking probabilities based on current state.
The 6AM Discovery: The 60-64% curve probability in 6AM is a quantified, repeatable edge that contradicts traditional "breakout = continuation" assumptions. This session exhibits mean reversion characteristics that most traders miss.
Dual-Direction Analysis: Tracks both upside breaks (Q2 > Q1 high) and downside breaks (Q2 < Q1 low) separately, as they can have different probabilities.
Visual Quarter System: The combination of colored boxes, quarter separators, and real-time labels provides instant visual understanding of pattern stage and expected behavior.
HOW TO USE THIS INDICATOR
Step 1: Identify Current 4H Candle
Check which colored box you're in and what session it represents.
Step 2: Wait for Q2 to Complete
The setup doesn't exist until Q2 (hour 2) breaks Q1 range. Monitor the live table.
Step 3: Check Q2 Break Status
Did Q2 break Q1 high? Q1 low? Both? Or neither?
Step 4: Consult Reference Table
Look up current session in curve reference table. What's the probability?
Step 5: Apply Session-Specific Strategy
For 6AM (60-64% curve):
Q2 breaks high → Expect curve back for new low
Q2 breaks low → Expect curve back for new high
Strategy: FADE the Q2 break, look for reversal entries in Q3-Q4
For 10AM (52-60% continuation):
Q2 breaks high → Expect continuation higher
Q2 breaks low → Expect continuation lower
Strategy: TRADE WITH the Q2 break, look for continuation entries in Q3-Q4
For 2AM (38-43% curve, 43-47% continuation):
Balanced probabilities
Strategy: Wait for Q3 price action to confirm direction, or skip
For 6PM/10PM (50-59% continuation):
Moderate continuation bias
Strategy: Lean with the break but use tight stops
Step 6: Monitor Live Status
Watch the live table for confirmation:
"✓ CURVE CONFIRMED" = Mean reversion occurred
"✓ CONTINUATION CONFIRMED" = Follow-through occurred
"⏳ 2nd Half In Progress" = Still developing
BEST PRACTICES
Focus on 6AM for curve trades - This is THE high-probability mean reversion session
Focus on 10AM for continuation trades - This is THE high-probability breakout session
Be cautious with 2AM - Balanced probabilities mean lower edge
Use quarter separators - Enter trades early in Q3 after Q2 break, don't wait for Q4
Combine with price action - Don't blindly fade 6AM or follow 10AM; wait for confirming price structure
Respect the 60% rule - 6AM curve happens 60% of time, which means 40% it doesn't. Manage risk accordingly
Watch for "No Q2 Break" - If Q2 doesn't break Q1, this analysis doesn't apply
Consider overnight context - If 6AM opens with huge gap, curve probability may be affected
SETTINGS & CUSTOMIZATION
Display Settings:
Show 4H Candle Boxes - Toggle colored range boxes
Box Colors - Customize color for each session
Show Quarter Separators - Show/hide 1H, 2H, 3H lines
Show Candle Name Labels - Show/hide session labels at 2H mark
Separator Line Style - Solid/Dashed/Dotted
Max Historical Candles - How many past 4H candles to display (1-50)
Table Settings:
Show Live Status Table - Toggle real-time analysis table
Show Curve Reference Table - Toggle probability reference table
Table Positions - Place tables in any corner
Table Text Size - Tiny/Small/Normal
LIMITATIONS & DISCLAIMERS
NQ FUTURES ONLY - All probabilities are NQ-specific, do not use on other instruments
Requires Q2 break - No curve/continuation setup exists if Q2 stays within Q1 range
Probabilities, not certainties - 60% means it happens 6 out of 10 times, not every time
Lower timeframe noise - 1-minute tracking can be choppy, consider using 5min+ for entries
Gap days - Large overnight gaps may affect curve/continuation probabilities
Not standalone - Use as confluence with your strategy, not as sole decision factor
Historical performance - Past statistics don't guarantee future results
WHY THE CURVE CONCEPT MATTERS
Traditional trading wisdom says: "Breakout = Continuation"
This indicator proves that's not always true. Specifically, during the 6AM session (late London + NY Open), when Q2 breaks the Q1 range, price curves back to the opposite extreme 60-64% of the time.
This creates a unique exploitable edge:
Most breakout traders go LONG when Q2 breaks Q1 high
But in 6AM, 60.6% of the time, price curves back down for new low
Shorting the breakout (counter-intuitive) is the higher-probability trade
The 10AM session shows the opposite:
Breakouts in 10AM tend to follow through (52-60%)
Traditional "trade the breakout" strategy works better here
By knowing which session you're in, you can adapt your strategy to match the session's personality.
FINAL NOTES
This indicator distills 10+ years of NQ intraday behavior into actionable, session-specific probabilities. The discovery that 6AM exhibits 60-64% curve behavior while 10AM exhibits 52-60% continuation behavior provides a statistical edge for mean reversion and trend-following traders respectively.
The highest-probability setups:
6AM Q2 break → FADE (60-64% edge for curve)
10AM Q2 break → FOLLOW (52-60% edge for continuation)
2AM = SKIP (balanced probabilities, no clear edge)
Master the 6AM curve and 10AM continuation first. These two sessions provide the clearest statistical edges.
Remember: Trade with proper risk management. This tool provides probabilities based on historical behavior, not predictions of future performance.
Golden Vector Trend Orchestrator (GVTO)Golden Vector Trend Orchestrator (GVTO) is a composite trend-following strategy specifically engineered for XAUUSD (Gold) and volatile assets on H4 (4-Hour) and Daily timeframes.
This script aims to solve a common problem in trend trading: "Whipsaws in Sideways Markets." Instead of relying on a single indicator, GVTO employs a Multi-Factor Confluence System that filters out low-probability trades by requiring alignment across Trend Structure, Momentum, and Volatility.
🛠 Methodology & Logic
The strategy executes trades only when four distinct technical conditions overlap (Confluence). If any single condition is not met, the trade is filtered out to preserve capital.
1. Market Structure Filter (200 EMA)
Indicator: Exponential Moving Average (Length 200).
Logic: The 200 EMA acts as the baseline for the long-term trend regime.
Bullish Regime: Price must close above the 200 EMA.
Bearish Regime: Price must close below the 200 EMA.
Purpose: Prevents counter-trend trading against the macro direction.
2. Signal Trigger & Trailing Stop (Supertrend)
Indicator: Supertrend (ATR Length 14, Factor 3.5).
Logic: Uses Average True Range (ATR) to detect trend reversals while accounting for volatility.
Purpose: Provides the specific entry signal and acts as a dynamic trailing stop-loss to let profits run while cutting losses when the trend invalidates.
3. Volatility Gatekeeper (ADX Filter)
Indicator: Average Directional Index (Length 14).
Threshold: > 25.
Logic: A high ADX value indicates a strong trend presence, regardless of direction.
Purpose: This is the most critical filter. It prevents the strategy from entering trades during "choppy" or ranging markets (consolidation zones) where trend-following systems typically fail.
4. Momentum Confirmation (DMI)
Indicator: Directional Movement Index (DI+ and DI-).
Logic: Checks if the buying pressure (DI+) is physically stronger than selling pressure (DI-), or vice versa.
Purpose: Ensures that the price movement is backed by genuine momentum, not just a momentary price spike.
📋 How to Use This Strategy
🟢 LONG (BUY) Setup
A Buy signal is generated only when ALL of the following occur simultaneously:
Price Action: Price closes ABOVE the 200 EMA (Orange Line).
Trigger: Supertrend flips to GREEN (Bullish).
Strength: ADX is greater than 25 (Strong Trend).
Momentum: DI+ (Plus Directional Indicator) is greater than DI- (Minus).
🔴 SHORT (SELL) Setup
A Sell signal is generated only when ALL of the following occur simultaneously:
Price Action: Price closes BELOW the 200 EMA (Orange Line).
Trigger: Supertrend flips to RED (Bearish).
Strength: ADX is greater than 25 (Strong Trend).
Momentum: DI- (Minus Directional Indicator) is greater than DI+ (Plus).
🛡 Exit Strategy
Stop Loss / Take Profit: The strategy utilizes the Supertrend Line as a dynamic Trailing Stop.
Exit Long: When Supertrend turns Red.
Exit Short: When Supertrend turns Green.
Note: Traders can also use the real-time P/L Dashboard included in the script to manually secure profits based on their personal Risk:Reward ratio.
📊 Included Features
Real-Time P/L Dashboard: A table in the top-right corner displays the current trend status, ADX strength, and the Unrealized Profit/Loss % of the current active position.
Smart Labeling: Buy/Sell labels are coded to appear only on the initial entry trigger. They do not repaint and do not spam the chart if the trend continues (no pyramiding visualization).
Visual Aids: Background color changes (Green/Red) to visually represent the active trend based on the Supertrend status.
⚠️ Risk Warning & Best Practices
Asset Class: Optimized for XAUUSD (Gold) due to its high volatility nature. It also works well on Crypto (BTC, ETH) and Major Forex Pairs.
Timeframe: Highly recommended for H4 (4 Hours) or D1 (Daily). Using this on lower timeframes (M5, M15) may result in false signals due to market noise.
News Events: Automated strategies cannot predict economic news (CPI, NFP). Exercise caution or pause trading during high-impact economic releases.
CUSUM Volatility BreakoutCUSUM Volatility Breakout A statistical trend-detection and volatility-breakout indicator that identifies subtle momentum shifts earlier than traditional tools.
OVERVIEW
The CUSUM control chart is a statistical tool designed to detect small, gradual shifts from a target value. In trading, it helps identify the early stages of a trend, giving traders a heads-up before momentum becomes obvious on standard price charts. By spotting these subtle movements, the CUSUM Volatility Breakout indicator (CUSUM VB) can highlight potential breakout opportunities earlier than traditional indicators. In other words, a statistical trend detection & breakout indicator.
Copyright © 2025 CoinOperator
HOW IT WORKS
CUSUM VB uses a combination of differenced price series, volume normalization, and dynamic control limits:
CUSUM Principle: Tracks cumulative deviations of price from a zero reference. Signals occur when cumulative deviations exceed a control limit shown on the chart and clears any enabled filters.
Adaptive Volatility: H adjusts automatically based on short- vs long-term ATR ratios, allowing faster detection during volatile periods and reduced false signals in calm markets.
Volume Weighting (optional): Amplifies price CUSUM values during high-volume bars to prioritize market participation strength.
ATR Confirmation (optional): Ensures breakouts are accompanied by expanded volatility.
Bollinger Band Squeeze Integration (optional): Confirms trend breakouts by detecting volatility contraction and release shown on the chart as triangles.
Signals:
Arrows on the price chart mark the bars where trades are actually filled, based on conditions detected on the prior signal bar.
Long Entry: Confirmed positive CUSUM breach (price & volume) with BB breakout (signal bar).
Short Entry: Confirmed negative CUSUM breach (price & volume) with BB breakout (signal bar).
Exit Signals: Triggered automatically by opposite-side signals.
Alerts, when created, fire on the bars where fills occur.
CHART COMPONENTS
CUSUM Upper Price (CU Price) and CUSUM Lower Price (CL Price) are green/red circles for confirmed signals.
● Rapid upward accumulation of CU Price indicates a developing bullish trend.
● Rapid downward accumulation of CL Price indicates a developing bearish trend.
Decision/Control limits (UCL/LCL, red)
Zero line (reference for the differenced price series baseline)
Optional BB triangles and volume CUSUM
SETUP AND CONFIGURATION
Differenced Price Series
Differenced Price Length and Lag
Increase differencing lag or window length → Increases variance of residuals → Wider control limits (UCL/LCL) → Slower to trigger.
Decrease lag or window → Tighter limits, more responsive to short-term regime shifts.
CUSUM Parameters
Volume-Weighted CUSUM
NOTE : Uses price length if 'Confirm Price with Volume' is disabled, otherwise will use volume length.
Amplifies CUSUM price responses during high-volume bars and reduces them during low-volume bars. This links trend detection to market participation strength.
Volume-Weighted CUSUM doesn’t replace price confirmation with volume; it modulates it by volume intensity, amplifying price signals when participation is strong and suppressing them when weak.
Recommended when analyzing assets with consistent volume patterns (e.g., stocks, major futures).
Disable for low-liquidity or irregular-volume instruments (e.g., crypto pairs, small-cap stocks).
ATR Confirmation
Enable this feature to confirm CUSUM signals only when price deviations are accompanied by higher-than-normal volatility. The indicator compares current ATR to a smoothed ATR to detect volatility expansion. This helps distinguish true breakouts from low-volatility noise and reduces false signals during quiet periods.
Adjust the ATR lookback length, smoothing length, and expansion factor to control sensitivity. Rule of thumb:
ATR Length ≈ 0.5 × differenced price length to 1.5 × differenced price length gives balanced sensitivity.
ATR Smoothing 5–10 bars.
ATR Expansion 5% to 50%.
CUSUM Input Mode
Select how CUSUM processes differenced price and log-normalized volume — either directly (Txfrm Data) or as deviations from a short-term EMA baseline (Residuals):
Txfrm Data = transformed input: differenced price & log-normalized volume as input for CUSUM (larger swings, more frequent control limit breaches)
Residuals = deviation from short-term EMA baseline (smaller swings, fewer control limit breaches, but higher signal quality).
Residual EMA Length: Defines how quickly the residual baseline adapts to recent differenced price moves. Shorter = more reactive; longer = smoother baseline. Keep EMA length moderate; over-smoothing can distort timing.
Control Sensitivity (K)
Increase K → Less sensitive → CUSUM accumulates slower → Fewer signals, captures only major trends.
Decrease K → More sensitive → CUSUM accumulates faster → More signals, captures minor swings too.
Reset Mode : Method of resetting CUSUM values.
Immediate Reset: Reset both immediately after any signal breach. Traditional SPC.
Opposite-Side Reset: Reset only the opposite side when a valid signal fires. Best for ongoing trend tracking.
Decay Reset: Gradually reduce CUSUM values toward zero with a decay factor each bar. Maintains trend memory but allows slow “forgetting.”
Threshold Reset: Reset only if CUSUM returns below a small threshold (10 % of H). Filters noise without full wipe.
No Reset / Continuous: Never reset; instead track running totals. Long-term cumulative bias measurement.
Conflict Handling : Method of handling conflicting signals.
Ignore Both: Discards both when overlap occurs.
Prioritize Latest: Chooses the direction implied by the most recent close.
Prioritize Stronger: Compares absolute magnitudes of CU Price vs CL Price.
Average Resolve: Looks at the difference; small overlap → ignore, otherwise pick direction by sign.
Sequential Confirm: Requires N consecutive same-direction signals before confirmation.
Volume Parameters (Optional)
Amplification Factor
Adjusts volume sensitivity and effectively rescales the log series of volume to a comparable magnitude with price changes.
Since price and volume are normalized in a compatible way, the amplification factor is used instead of independent K and H values for volume.
Bollinger Bands (Optional)
Lookback Synchronization
BB Lookback (for CUSUM): Number of bars that define a window for the BB signal to look back for the CUSUM signal.
CUSUM Lookback (for BB): Number of bars that define a window for the CUSUM signal to look back for the BB signal.
Both can be enabled for stricter alignment.
Relationship Between K, H, ARL₀ and ARL₁
H (max) is usually the only H you need to adjust. With everything else being constant, increasing either K or H (max) generally increases both ARL₀ and ARL₁ : higher thresholds reduce false alarms but slow detection, and lower thresholds do the opposite.
Increase Min Target ARL ratio →
ARL₀ increases (safer, fewer false alarms)
ARL₁ decreases or stays small (faster detection)
Control limits slightly expand to achieve separation
Strategy becomes more selective and stable
Decrease Min Target ARL ratio →
ARL₀ decreases (more false alarms tolerated)
ARL₁ increases (slower detection tolerated)
Control limits tighten
Strategy becomes more sensitive but lower quality
The ARL Ratio of ARL₀ / ARL₁ is typically between 3 and 8. This implies you want your ARL₀ (false-alarm interval) ≈ 'Min Target ARL ratio' × differenced price length window.
Example:
"Min Target ARL ratio = 4.0"
⇒ implies you want your ARL₀ (false-alarm interval) ≈ 4 × differenced price length.
Assume price length = 50 (typical differencing window).
ARL ratio = 4.0 → target ARL = 4 × 50 = 200 bars.
● On a 6-hour chart (≈4 bars/day) → ~50 days between expected false alarms (on average).
● On a daily chart → ~200 trading days between false alarms (very conservative).
ARL ratio = 8.0 → target ARL = 400 bars → twice as infrequent signals vs ratio=4.
ARL ratio = 2.0 → target ARL = 100 bars → about half the inter-signal interval.
Another way to think about it: probability of a false alarm on any bar ≈ 1 / target ARL. If you want ~1% of bars producing alarms, target ARL ≈ 100.
QUICK START
Start with the defaults.
Set price series → length/order/lag
Configure CUSUM thresholds → K, H min/max
1. Adjust the price differencing lag/window.
2. Verify that it captures real price inflection points without overreacting to bar noise.
Enable optional filters → Volume, ATR, BB
The optional Bollinger Bands squeeze usually works best if used with CUSUM Input Mode = Txfrm Data.
Monitor CUSUM chart → CU Price, CL Price, thresholds, zero line
Act on signals → data window / chart triangles
Adjust sensitivity → H (max), K, lengths
Monitor ARL ratio and CUSUM behavior for fine-tuning
Note : When you’ve finalized the length, lag, and order of the Price Difference, as well as the Ln(Vol) Series of “Confirm Price with Volume” if enabled, then pass both through the Augmented Dickey–Fuller (ADF) mean reversion test to ensure they are stationary, i.e., mean reverting. You can find a ready-made indicator for such use at . Many thanks to tbtkg for this indicator.
SUMMARY
CUSUM VB combines CUSUM statistical control, volatility-adaptive thresholds, volume weighting, and optional BB breakout confirmation to provide robust, actionable signals across a wide variety of trading instruments.
Why traders use it : Fast detection of shifts, reduced false alarms, versatile across markets.
Ideal for : Futures (continuous contracts), forex, crypto, stocks, ETFs, and commodity/index CFDs, especially where:
● Price and volume data exist
● Breakouts and volatility shifts are tradable
● There’s enough liquidity for meaningful signals
Visualization : Upper/lower CUSUM circles, UCL/LCL thresholds, optional highlight traded background, optional volume and BB overlays on the chart, optional entry/exit labels on the price chart, as well as entry/exit signals in the data window.
Alerts : For entry/exit labels when trades are actually filled.
CUSUM VB is designed for traders who want statistically grounded trend detection with configurable sensitivity, visual clarity, and multi-market versatility.
DISCLAIMER
This software and documentation are provided “as is” without any warranties of any kind, express or implied. CoinOperator assumes no responsibility or liability for any errors, omissions, or losses arising from the use or interpretation of this software or its outputs. Trading and investing carry inherent risks, and users are solely responsible for their own decisions and results.
SCOTTGO - Liquidity Zones (Sweeps + Tethers)
SCOTTGO - Liquidity Zones is a high-performance technical analysis tool designed to identify and track Institutional Liquidity Zones, Price Sweeps, and Pivot Levels with a clean, professional-grade interface.
Key Features
Dynamic Liquidity Zones: Automatically identifies Bullish and Bearish zones based on customizable pivot lookbacks.
Identify Liquidity Sweeps: Detects when price "pokes" through a zone but fails to close beyond it, marking the event with a distinct label and a visual tether line.
Active Tracking: Zones and LIQ lines track price in real-time until they are mitigated (broken by a candle close), at which point they visually "deactivate" to reduce clutter.
Professional UI: Features a compact, single-row styling menu (Color, Thickness, and Line Style) that mirrors TradingView’s native design.
Visual Elements
LIQ Lines: Solid or dashed lines tracking the exact pivot price within active zones.
Sweep Tethers: Vertical lines connecting the candle extreme to the "SWEEP" label for precise visual confirmation.
Detailed Tooltips: Hover over LIQ labels or Sweep tags to view specific price data and zone context.
Zone Titles: Clearly labeled "BULL ZONE" and "BEAR ZONE" tags with independent font size controls.
How to Use
Core Logic: Adjust the Pivot Lookback to define the strength of the levels you want to track.
Styling: Use the Inputs Tab for compact, specialized styling of Lines, Borders, and Sweeps.
Analysis: Look for "Sweeps" at zone boundaries as potential signs of reversal or stop-running.
Goldilocks Pivot FractalsGOLDILOCKS PIVOT FRACTALS - DESCRIPTION
Overview
Goldilocks Pivot Fractals identifies swing highs and lows using fractal pattern recognition with professional visual presentation. This indicator marks potential reversal points where price creates distinct peaks and valleys - perfect pivot points for support, resistance, and market structure analysis.
The "Goldilocks" name reflects the perfectly balanced visual presentation: not too cluttered, not too plain, just right for professional traders. Unlike standard fractal indicators, this edition features fully customizable Buy/Sell labels with tick-based positioning, independent toggle controls, and a high-contrast color scheme optimized for both dark and light chart themes.
What Makes It Unique:
- Professional label system with full customization (colors, sizes, tick-based offsets)
- Toggle labels and arrow shapes independently
- High-contrast default colors (teal/maroon) optimized for maximum visibility
- Clean, trader-friendly interface with intuitive settings
- Works flawlessly on all timeframes and instruments
How to Use
PERIOD ADJUSTMENT & ADJUSTING SENSITIVITY
The Period(s) setting controls how many signals you see:
• Period = 2 (default): Shows more signals, catches smaller price swings - best for day trading and scalping
• Period = 3-4: Shows medium amount of signals, filters out tiny moves - good for swing trading (holding days to weeks)
• Period = 5 or higher: Shows fewer signals, only the biggest turning points - best for long-term position trading
- Simple rule: Lower number = more signals. Higher number = fewer, but stronger signals.
SIGNALS
🟢 "BUY Label" (Down Fractal)
- Marks swing lows and potential support zones
- Look for price bouncing up after the fractal forms
- Use for identifying pullback entry points in uptrends
- Place stops below recent BUY fractals
🔴 "SELL Label" (Up Fractal)
- Marks swing highs and potential resistance zones
- Look for price rejecting down after the fractal forms
- Use for identifying profit targets or short entries
- Place stops above recent SELL fractals
REPAINTING BEHAVIOR
⚠️ This indicator repaints by design. Fractals require N bars on both sides to confirm, so they appear N bars after the actual pivot point. This is normal and ensures accurate pivot identification. Wait for complete confirmation before trading.
TRADING APPLICATIONS
1. Support/Resistance: Mark key price levels for entries and exits
2. Market Structure: higher BUY fractals = uptrend, lower SELL fractals = downtrend
3. Stop Placement: Use recent fractals as logical stop-loss levels
4. Breakout Trading: Monitor price breaking above/below fractal levels
5. Trend Following: Enter on pullbacks to BUY fractals in uptrends
6. Swing Trading: Identify major swing points for position entries
CUSTOMIZATION OPTIONS
• Show BUY/SELL Labels**: Toggle professional text labels on/off
• Show Shapes: Toggle arrow shapes independently
• Offset (ticks): Adjust label distance from price bars for perfect positioning
• Colors: Customize backgrounds (default: teal/maroon) and text (default: white/yellow)
• Label Size: Choose from tiny, small, normal, large, or huge
The high-contrast default colors provide excellent visibility without adjustment, but full customization is available to match any chart theme.
Key Settings
Periods (n) (default: 2): Number of bars on each side of pivot. Lower = more signals, Higher = fewer, stronger signals
Show BUY/SELL Labels (default: ON): Display professional text labels
Show Shapes (default: ON): Display arrow shapes
BUY offset (ticks) (default: 8): Distance BUY labels appear below lows
SELL offset (ticks) (default: 8): Distance SELL labels appear above highs
Colors: Full customization - defaults optimized for visibility
Label size (default: normal): Visual prominence control
Key Features
✅ Professional pivot fractal detection
✅ Fully customizable Buy/Sell labels
✅ Independent toggle for labels and shapes
✅ Tick-based offset positioning
✅ High-contrast color scheme
✅ Works on all timeframes and instruments
✅ Clean, intuitive interface
✅ Adjustable sensitivity
✅ Perfect for support/resistance identification
✅ Ideal for market structure analysis
Advanced algo [For Indian market]🙏 Gratitude to the TradingView Community
Before anything else, I would like to sincerely thank the TradingView community. I have learned immensely from the shared ideas, scripts, and discussions here over time. This indicator is my small way of giving back to the community that has helped me grow as a trader and developer.
📌 Indicator Overview
Advanced Algo is a non-repainting, rule-based trading indicator designed primarily for Indian indices and stocks, while remaining equally effective on other liquid instruments.
The script focuses on clean trend identification, disciplined entries, and well-defined risk management, making it suitable for intraday as well as positional analysis depending on the timeframe used.
✅ Key Highlights
100% Non-Repainting Logic
All signals are generated only after bar confirmation using a delay mechanism, ensuring reliability and backtesting accuracy.
Clear BUY / SELL Signals
Signals are plotted only on trend reversals, avoiding noise and repeated entries.
Automatic TP & SL Levels
Entry, Take-Profit, and Stop-Loss levels are calculated at the time of trade entry and remain fixed throughout the trade.
Intrabar TP / SL Detection
Profit targets and stop-losses are detected as soon as price touches them, providing realistic trade behavior.
Visual Risk-Reward Zones
Entry, TP, and SL lines with color-filled zones make trade structure easy to read at a glance.
Built-in Statistics Table
Displays Buy TP, Sell TP, Buy SL, and Sell SL counts for quick performance tracking.
⚙️ Logic (Brief & High-Level)
A smoothed range-based trend filter is used to identify directional bias.
Consecutive directional strength confirms trend continuation.
BUY or SELL signals are generated only when the trend state flips, reducing false signals.
A delay offset is applied to ensure non-repainting behavior.
Once a trade is triggered:
Entry is fixed
TP and SL are calculated using user-defined percentages
No new trade is allowed until the current trade exits or reverses
🟢 BUY / 🔴 SELL Logic (Brief)
BUY Signal
Triggered when price confirms a bullish trend shift after a bearish phase.
SELL Signal
Triggered when price confirms a bearish trend shift after a bullish phase.
Only one trade is active at a time to maintain clarity and discipline.
🎯 Take-Profit & 🛑 Stop-Loss
TP & SL are percentage-based and configurable via inputs.
Levels are calculated at entry and do not trail or repaint.
TP and SL exits are marked clearly on the chart with labels.
Trades are force-reset before allowing a new entry.
🔔 Alerts Included
Built-in alerts are available for:
Long Entry
Short Entry
Long Exit (TP / SL)
Short Exit (TP / SL)
These alerts can be easily connected to automation or webhook-based execution systems.
⚠️ Disclaimer
This indicator is provided for educational and informational purposes only.
It is not financial advice. Trading in stocks, indices, and derivatives involves risk, and past performance does not guarantee future results.
Always:
Use proper risk management
Confirm signals with additional analysis
Test thoroughly before using in live markets
The author is not responsible for any financial losses incurred while using this script.
⭐ If you find this indicator useful, your feedback and support are always appreciated.
Happy trading and all the best!
Gann VooDoo LinesGann VooDoo Lines Indicator
Description
- Gann VooDoo Lines is a precise overlay indicator that applies W.D. Gann's Square of 9 mathematics to generate static horizontal support and resistance levels from a single manual anchor price. It calculates 8 key vibrational degrees (45°, 90°, 135°, 180°, 225°, 270°, 315°, 360°) both upward (resistance) and downward (support), delivering clean, timeframe-independent price zones.
Key Features
- Manual anchor price input for complete control
- Individual toggles for each of the 8 degrees
- "Both (Support + Resistance)" mode to display levels in both directions simultaneously
- Extend lines left/right or both
- Dynamic right-side labels that follow the latest bar
- Price values automatically displayed on the right price scale for all visible lines (including anchor)
- Customizable resistance, support, and anchor colors
What Makes It Unique (Compared to Other Gann Scripts)
- Unlike most Gann indicators on TradingView (which typically focus on sloping angles/fans, auto-detected swings, or limited degrees), Gann VooDoo Lines uses pure static Square of 9 horizontal levels with full individual toggles for all 8 degrees and a dedicated "Both" mode — allowing you to view support and resistance simultaneously without overlap or clutter. The combination of per-degree toggles, dynamic right-side labels, and clean price scale integration (no duplicates or repainting) sets it apart from generic Gann tools that often lack this granular control and visual clarity.
How to Use and Trade With It
- Set the anchor properly — this is the most critical step:
- Choose a major significant price extreme (all-time high/low, major swing high/low, or key psychological level).
- For higher timeframes (daily/weekly): use long-term extremes (e.g., all-time low/high) for "master" levels that influence price over months/years.
- For lower timeframes/intraday: use recent session extremes (today's open, previous close, or recent swing high/low) and update the anchor as needed for fresh levels.
- Experiment: test different anchors and observe which produces the most reactions.
Trading approach:
- Watch for price reactions (reversals, bounces, accelerations) at the lines — especially confluence with multiple degrees or right-side labels.
- Use in "Both" mode for full support/resistance picture.
- Combine with price action (candlestick patterns, volume) for entries/exits.
- Toggle off unused degrees to declutter the chart.
hassan box 2026This indicator is a tool designed to monitor general areas and predict future targets.
Auto Liquidity Sweep Trendlines Flexible By VJhaThis auto liquidity sweep trendline is more flexible in that it offers you choice to make different pivot bars for Green and Red lines. Points to draw these trendlines are not ordinary and arbitrary wicks, rather they are most impactful liquidity sweeps, making them worthy of reliablility.
This is helpful to choose bigger bar numbers for longer trend and smaller bar number even 1 for pullback trend giving you sniper entry: in case you have missed the larger trend.
Say goodbye to manual trendline drawing with this tool in place, once and for all.
Happy trading.
MoBo Bands - Momentum Breakout IndicatorDESCRIPTION
MoBo Bands (Momentum Breakout Bands) is a volatility-based breakout detection indicator that helps traders identify potential momentum shifts in the market. The indicator uses dynamic bands calculated from standard deviation to signal when price breaks above or below established ranges, indicating potential bullish or bearish momentum changes.
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KEY FEATURES
═════════════════════════════════════════════════════════════
- Dynamic upper and lower bands based on standard deviation
- Color-coded bands that change based on breakout direction (green for bullish, red for bearish)
- Visual breakout arrows marking entry points above/below bands
- Optional colored fill zones between bands showing current momentum state
- Customizable displacement for band projection
- Built-in alert system for breakout and breakdown signals
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HOW IT WORKS
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The indicator calculates a middle line using a Simple Moving Average (SMA) with upper and lower bands positioned using standard deviation multipliers. When price closes above the upper band, a bullish breakout (green) is signaled. When price closes below the lower band, a bearish breakdown (red) is signaled. The bands and fill zones remain colored until the opposite signal occurs, providing clear visual confirmation of the current momentum state.
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CUSTOMIZABLE INPUTS
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CALCULATION PARAMETERS:
- Price Source - Select which price data to use (default: close)
- Length - Period for SMA and standard deviation calculation (default: 10)
- Num Dev Up - Standard deviation multiplier for upper band (default: 0.8)
- Num Dev Down - Standard deviation multiplier for lower band (default: -0.8)
- Displace - Shift bands forward for projection analysis (default: 0)
DISPLAY OPTIONS:
- Colored Mobo - Enable/disable color-coded bands
- Colored Fill - Enable/disable fill zones between bands
- Break Arrows - Show/hide breakout and breakdown arrows
ALERT OPTIONS:
- Show Alerts - Enable/disable alert conditions
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USAGE GUIDE
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Watch for price to close outside the bands as potential breakout signals:
BULLISH BREAKOUT: Green arrow appears below the lower band when price closes above the upper band, indicating upward momentum shift.
BEARISH BREAKDOWN: Red arrow appears above the upper band when price closes below the lower band, indicating downward momentum shift.
The bands also serve as dynamic support and resistance levels. When bands are green, momentum is bullish. When bands are red, momentum is bearish.
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BEST PRACTICES
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- This indicator works well on liquid futures contracts (MNQ, MES, MYM, MGC, MCL) and major
currency pairs across multiple timeframes
- Lower deviation values (0.5-1.0) produce more frequent signals suitable for scalping
- Higher deviation values (1.5-2.5) filter for stronger breakouts ideal for swing trading
- Combine with volume indicators for additional confirmation
- Use with momentum oscillators to validate breakout strength
- Best results in trending market conditions
- Consider the overall market context and trend direction
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ALERT CONFIGURATION
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Configure custom alerts for automated notifications:
- "MoBo BreakOUT" - Triggers on bullish breakout signals
- "MoBo BreakDOWN" - Triggers on bearish breakdown signals
Set alerts to "Once Per Bar Close" for confirmed signals and avoid false triggers during bar development.
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IDEAL FOR
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- Day traders and scalpers on futures markets
- Swing traders looking for momentum shifts
- Breakout trading strategies
- Trend following systems
- Works on stocks, forex, crypto, and commodities
- Effective across multiple timeframes (1min to daily)
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Perfect for traders seeking clear visual breakout signals with minimal lag. The color-coded system and arrow markers make it easy to identify momentum changes at a glance.
© 2024 NPR21 | Mozilla Public License 2.0
Open-source script
NPR21
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by
SMC Ultra-Fast: ALL-IN & Auto-Signal [Fixed]Entry Points: 🔥 signals occur when buying and selling pressure is 1.5 times stronger than normal and breaks through a key resistance level.
Dynamic S/R Box: This box displays the price at the right edge and will "disappear immediately" if the closing price breaks through the zone, showing only the active support and resistance levels.
TP/SL Targets: Lines are drawn to the right to indicate clear entry and exit points.
Large Marks: When the price hits the target, the system will display large text 🎯 TP SUCCESS or ❌ SL HIT to summarize the trade result.
SMI Trigger SystemSMI TRIGGER SYSTEM - DESCRIPTION
Overview
SMI Trigger System is a momentum oscillator that identifies trend changes and reversals using the Smoothed Stochastic Momentum Index (SMI). Features a color-changing line (green = bullish, red = bearish), cloud shading for momentum zones, and triangle markers that appear exactly when momentum flips.
What Makes It Unique:
Real-time color-changing momentum line
Cloud shading split at zero line
Triangle triggers at exact momentum flip points
Overbought/oversold limit lines
Built-in alerts for all key signals
Fully customizable appearance
Works on all timeframes
How to Use
THE DISPLAY
Green line/cloud: Bullish momentum
Red line/cloud: Bearish momentum
Above zero: Bulls in control
Below zero: Bears in control
Upper limit (+40): Overbought
Lower limit (-40): Oversold
SIGNALS
🟢 Green Triangle (▲) - Momentum flipping bullish. Buy signal, most powerful below zero.
🔴 Red Triangle (▼) - Momentum flipping bearish. Sell signal, most powerful above zero.
TRADING STRATEGIES
1. Trend Following
In uptrends: Only take green triangles, ignore red
In downtrends: Only take red triangles, ignore green
Use higher timeframe for trend, lower for entries
Example: Daily uptrend → trade green triangles on 1H chart
2. Limit Reversals
Red triangle at upper limit (+40) = strong reversal signal, go short
Green triangle at lower limit (-40) = strong reversal signal, go long
Wait for triangle AND price confirmation
Most reliable on 4H/Daily timeframes
3. Zero Line Trading
SMI crosses above zero → bullish bias, take green triangles
SMI crosses below zero → bearish bias, take red triangles
Zero acts as momentum baseline
4. Divergence Setups
Price higher high + SMI lower high = bearish divergence → take next red triangle
Price lower low + SMI higher low = bullish divergence → take next green triangle
Most powerful at overbought/oversold limits
ENTRIES & EXITS
Enter: On triangle appearance
Stop: Beyond recent opposite-color triangle
Target: Limit levels or opposite triangle
Add: Additional same-color triangles in strong trends
TIMEFRAME GUIDE
Scalping (1-5m): Lower %K to 3-4, take all trend-aligned triangles
Day trading (15-60m): Default settings (5/3), focus on limit reversals
Swing trading (4H-Daily): Higher %K to 7-10, trade only extreme readings
ADJUSTING SENSITIVITY
SMI %K Length (default: 5):
Lower (3-4) = More signals, faster - good for scalping
Higher (7-10) = Fewer signals, stronger - good for swing trading
SMI %D Length (default: 3):
Lower (1-2) = More responsive
Higher (5-7) = Smoother
ALERTS
Built-in alerts for:
Triangle appears (momentum flips)
SMI crosses zero (trend change)
SMI crosses limits (overbought/oversold)
Enable in settings, configure in TradingView alert dialog.
CUSTOMIZATION
Toggle cloud/triangles on/off
Adjust triangle size and positioning
Customize all colors
Triangle label cap prevents clutter
Key Settings
SMI %K Length (default: 5): Controls sensitivity and signal frequency
SMI %D Length (default: 3): Controls smoothing
SMI Limit (default: 40): Overbought/oversold threshold
Show SMI Cloud (default: ON): Cloud shading
Show SMI Flip Triangles (default: ON): Trigger markers
Triangle Size/Offset: Appearance customization
Enable Alerts (default: ON): Alert notifications
Key Features
✅ Color-changing momentum line
✅ Cloud shading for momentum zones
✅ Triangle triggers at exact flips
✅ Overbought/oversold limits
✅ Built-in alert system
✅ Fully customizable
✅ All timeframes
✅ Adjustable sensitivity
NPR21
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView.
EMA and Dow Theory Strategies V2 DOGE Current Optimum Value
📘 Overview
These are the current optimal values for DOGE.
They are intended for use on the 2‑hour timeframe.
This script requires complex configuration, but there is an optimal set of values somewhere.
Here, I’m sharing the settings that I personally use at the moment.
Turning Take Profit off can lead to higher profits, but it also increases risks such as a lower win rate.
With Take Profit on, you can adjust the settings by increasing the values.
I have been trading using Dow Theory for many years.
Trading with Dow Theory and EMA has been my main strategy.
Although it has been profitable, I have long struggled with its low win rate.
The issue lies in the immaturity of the exit strategy, and I’m currently experimenting to see if I can solve that.
In V2, I added three take‑profit lines, securing 30% of the profit at each level to ensure a minimum level of gain.
Additionally, when the trend weakens, half of the position is closed.
In all scenarios, the remaining position is held until the trend reverses.
The system provides precise entries, adaptive exits, and highly visual guidance that helps traders understand trend structure at a glance.
🧠 Key Features
🔹 1. Dual‑EMA Trend Logic (Symbol + External Index)
Both the chart symbol and an external index (OTHERS.D) are evaluated using fast/slow EMAs to determine correlation‑based trend bias.
🔹 2. Dow Theory Swing Detection (Real‑time)
The script identifies swing highs/lows and updates trend direction when price breaks them. This creates a structural trend model that reacts faster than EMAs alone.
🔹 3. Gradient Trend Zones (Visual Trend Strength)
When trend is up or down, the area between price and the latest swing level is filled with a multi‑step gradient. This makes trend strength and distance-to-structure visually intuitive.
🔹 4. Higher‑Timeframe Swing Trend (htfTrend)
Swing highs/lows from a higher timeframe (e.g., 4H) are plotted to show macro structure. Used only for visual context, not for filtering entries.
🔹 5. RSI‑Based Entry Protection
RSI prevents entries during extreme overbought/oversold conditions.
🔹 6. Dynamic Exit System
Includes:
Custom stop‑loss (%)
Partial take‑profit (TP1/TP2/TP3)
Automatic scale‑out when trend color weakens
“Color‑change lockout” to prevent immediate re‑entry
Real‑time PnL tracking and labels
🔹 7. Alerts for All Key Events
Entry, stop‑loss, partial exits, and trend‑change exits all generate structured JSON alerts.
🔹 8. Visual PnL Labels & Equity Tracking
PnL for the latest trade is displayed directly on the chart, including scale‑out adjustments.
⚙️ Input Parameters
Parameter Description
Fast EMA / Slow EMA EMAs used for symbol trend detection
Index Fast / Slow EMA EMAs applied to external index
StopLoss (%) Custom stop‑loss threshold
Scale‑Out % Portion to exit when trend color weakens
RSI Period / Levels Overbought/oversold filters
Swing Detection Length Bars used to detect swing highs/lows
Stats Display Position of statistics table
🧭 About htfTrend (Higher Timeframe Trend)
The higher‑timeframe swing trend is displayed visually but not used for entry logic.
Why? Strict HTF filtering reduces trade frequency and often removes profitable setups. By keeping it visual‑only, traders retain flexibility while still benefiting from macro structure awareness.
Use it as a contextual guide, not a constraint.
📘 概要
DOGEの現在の最適値です。
2時間足での使用を想定しています。
このスクリプトは複雑な設定が必要ですが、どこかに最適値が存在します。
今回は現在私が個人的に使っている設定値の公開です。
Take ProfitをOFFにするとさらなる利益が望めますが、勝率が下がるなどのリスクが上がります。
ONにした状態で数値を上げることによって調整することが可能です。
私はダウ理論を使ったトレードを長年続けてきました。
ダウ理論とEMAを使ったトレードが私の主力です。
しかし利益は出るものの、長年その勝率の低さに悩んでいました。
問題は出口戦略が未熟なためで、現在はそれらの解決ができないかと試行錯誤を続けています。
V2では3本の利益確定ラインを引き、それぞれ30%ずつ利益を確定し、最低限の利益がでるようにしました。
それ以外にはトレンドが弱まったタイミングで半分の利益確定をし、どのパターンでも残ったポジションはトレンド転換まで持ち続けます。
🧠 主な機能
🔹 1. 銘柄＋外部インデックスの EMA クロス判定
対象銘柄と OTHERS.D の EMA を比較し、相関を考慮したトレンド方向を判定します。
🔹 2. ダウ理論に基づくスイング高値・安値の自動検出
スイング更新によりトレンド方向を切り替える、構造ベースのトレンド判定を採用。
🔹 3. グラデーション背景によるトレンド強度の可視化
スイングラインから現在価格までを段階的に塗り分け、 「どれだけトレンドが伸びているか」を直感的に把握できます。
🔹 4. 上位足スイングトレンド（htfTrend）の表示
4H などの上位足でのスイング高値・安値を表示し、 大局的なトレンド構造を視覚的に把握できます（ロジックには未使用）。
🔹 5. RSI による過熱・売られすぎフィルター
極端な RSI 状態でのエントリーを防止。
🔹 6. 動的イグジットシステム
カスタム損切り（％）
TP1/TP2/TP3 の段階的利確
トレンド色の弱まりによる自動スケールアウト
色変化後の再エントリー制限（waitForColorChange）
リアルタイム PnL の追跡とラベル表示
🔹 7. アラート完備（JSON 形式）
エントリー、損切り、部分利確、トレンド反転などすべてに対応。
🔹 8. 損益ラベル・統計表示
直近トレードの損益をチャート上に表示し、視覚的に把握できます。
⚙️ 設定項目
設定項目名 説明
Fast / Slow EMA 銘柄の EMA 設定
Index Fast / Slow EMA 外部インデックスの EMA 設定
損切り（％） カスタム損切りライン
部分利確割合 トレンド弱化時のスケールアウト割合
RSI 期間・水準 過熱/売られすぎフィルター
スイング検出期間 スイング高値・安値の検出に使用
統計表示位置 テーブルの表示位置
🧭 上位足トレンド（htfTrend）について
上位足スイングの更新に基づくトレンド判定を表示しますが、 エントリー条件には使用していません。
理由： 上位足を厳密にロジックへ組み込むと、トレード機会が大幅に減るためです。
本ストラテジーでは、 「大局の把握は視覚で、エントリーは柔軟に」 という設計思想を採用しています。
→ 裁量で利確判断や逆張り回避に活用できます。
Pulse Wave Matrix [SCALPER]════════════════════════════════════════════════════════════════════════════════
PULSE WAVE MATRIX - SCALPER EDITION | QUICK GUIDE
════════════════════════════════════════════════════════════════════════════════
█ WHAT IS PWM?
PWM detects when price is "coiling" (compression) and about to explode.
• ORANGE DOTS = Spring compressing (GET READY)
• GREEN DOT = Spring released (TAKE ACTION)
════════════════════════════════════════════════════════════════════════════════
█ READING THE INDICATOR
════════════════════════════════════════════════════════════════════════════════
HISTOGRAM BARS:
• BRIGHT CYAN = Strong bullish (best for longs)
• DARK CYAN = Bullish weakening (consider exit)
• BRIGHT RED = Strong bearish (best for shorts)
• DARK RED = Bearish weakening (consider exit)
CENTER DOTS:
• ORANGE = Compression active → WAIT
• GREEN = Compression released → LOOK FOR ENTRY
• GRAY = Normal market → SCAN
SIGNALS:
• ▲ Green Triangle = HIGH-PROBABILITY LONG
• ▼ Red Triangle = HIGH-PROBABILITY SHORT
• ● Small Circle = Quick scalp (lower probability)
════════════════════════════════════════════════════════════════════════════════
█ HOW TO TRADE (3 Simple Steps)
════════════════════════════════════════════════════════════════════════════════
STEP 1: WAIT FOR SETUP
→ Orange dots appear (compression)
→ Panel shows "Pulse: READY"
STEP 2: WAIT FOR TRIGGER
→ Green dot appears (released)
→ Triangle signal appears
→ Check histogram: CYAN = Long, RED = Short
STEP 3: EXECUTE
→ Enter on triangle signal
→ Set SL: 1.5x ATR below/above entry
→ Set TP: 2x SL distance
════════════════════════════════════════════════════════════════════════════════
█ ENTRY CHECKLIST
════════════════════════════════════════════════════════════════════════════════
BEFORE ENTERING, CONFIRM:
☑ Green dot visible (pulse released)
☑ Triangle or circle signal present
☑ Histogram color matches direction
☑ Panel "Trend" aligns with trade
☑ RSI not showing OB! or OS!
DO NOT ENTER IF:
✗ Still orange dots (not released)
✗ Trend opposite to signal
✗ RSI at extreme
✗ Major news coming
════════════════════════════════════════════════════════════════════════════════
█ EXIT RULES
════════════════════════════════════════════════════════════════════════════════
EXIT IMMEDIATELY:
• Stop loss hit
• Take profit hit
• Opposite triangle appears
EXIT SOON:
• Histogram color fading (bright → dark)
• New orange dots appear
════════════════════════════════════════════════════════════════════════════════
█ RISK MANAGEMENT
════════════════════════════════════════════════════════════════════════════════
• Risk 1-2% per trade MAX
• Stop after 3 losses in a row
• Maximum 5-7 trades per day
• Primary signals (▲▼) = Full size
• Quick signals (●) = Half size
════════════════════════════════════════════════════════════════════════════════
█ RECOMMENDED SETTINGS
════════════════════════════════════════════════════════════════════════════════
FOR 5-MINUTE CHARTS:
Pulse Length: 8 | Wave Length: 5
ATR Length: 7 | Signal Smooth: 2
SL Multiplier: 1.2 | TP Ratio: 1.5
FOR 15-MINUTE CHARTS:
Pulse Length: 10 | Wave Length: 6
ATR Length: 8 | Signal Smooth: 3
SL Multiplier: 1.5 | TP Ratio: 2.0
════════════════════════════════════════════════════════════════════════════════
█ BEST TRADING TIMES
════════════════════════════════════════════════════════════════════════════════
FOREX: 8:00 - 11:00 AM EST (London-NY overlap)
CRYPTO: 9:00 - 11:00 AM EST (US morning)
STOCKS: 10:30 - 11:30 AM EST (post-open)
AVOID: Major news events, low volume periods
════════════════════════════════════════════════════════════════════════════════
█ COMMON MISTAKES
════════════════════════════════════════════════════════════════════════════════
✗ Entering during orange dots (too early)
✗ Trading against trend filter
✗ Moving stop loss further away
✗ Taking every signal without filtering
✗ Overtrading (20+ trades/day)
════════════════════════════════════════════════════════════════════════════════
█ QUICK REFERENCE
════════════════════════════════════════════════════════════════════════════════
LONG TRADE:
Orange dots → Green dot → Cyan bars rising → ▲ Triangle → BUY
SHORT TRADE:
Orange dots → Green dot → Red bars falling → ▼ Triangle → SELL
HOLD UNTIL:
Histogram fades OR TP hit OR opposite signal
════════════════════════════════════════════════════════════════════════════════
█ REMEMBER
════════════════════════════════════════════════════════════════════════════════
• Wait for GREEN DOT before looking for entries
• Only trade when TREND aligns with signal
• Always use STOP LOSS - no exceptions
• Quality over quantity - skip weak setups
60% win rate + 1:2 RR = PROFITABLE
════════════════════════════════════════════════════════════════════════════════
GOOD LUCK & HAPPY SCALPING!
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