Choppiness ZONE OverlayPurpose
This script overlays choppiness zones directly onto the price chart to help traders identify whether the market is trending or ranging. It is designed to filter out low-probability trades during high choppiness conditions.
How It Works
Calculates the Choppiness Index over a user-defined period using ATR and price range.
Divides choppiness into four zones:
30 to 40: Low choppiness, possible trend initiation, shown in yellow.
40 to 50: Moderate choppiness, transition zone, shown in orange.
50 to 60: High choppiness, weakening momentum, shown in red.
60 and above: Extreme choppiness, avoid trading, shown in purple.
Highlights each zone with customizable color fills between the high and low of the selected range.
Triggers a real-time alert when choppiness exceeds 60.
Features
Customizable choppiness zones and color settings.
Real-time alert when market becomes extremely choppy (choppiness ≥ 60).
Visual zone overlay on the price chart.
Compatible with all timeframes.
Lightweight and responsive for scalping, intraday, or swing trading.
Tip
Use this tool as a volatility or trend filter. Combine it with momentum or trend-following indicators to improve trade selection.
Cari dalam skrip untuk "scalping"
Quarterly Cycles by [M1rage]Quarterly Cycles by — Indicator Description (English)
Purpose
“Quarterly Cycles by ” is a multi-time-frame tool that visualizes recurring market rhythms—from 90-minute sessions up to annual cycles—and highlights Seasonal & Session-to-Session Market Transitions (SSMT).
It helps discretionary and quantitative traders:
See where the current bar sits inside intraday, daily, weekly, monthly, and yearly cycles.
Spot fresh highs/lows relative to the previous cycle and immediately know whether the move is confirmed across correlated assets.
Detect potential reversals via automated divergence markup (positive vs negative extremes in the same swing).
Core Logic
Cycle Engine
Computes cycle starts from a fixed reference (1972-12-31 23:00 GMT+3, adjustable via the Time Offset input).
Draws one of nine cycle layers depending on the active chart resolution:
Time-frame Cycle(s) Rendered Box Style
5 min / 15 min 90 min & 6 h 90 m boxes: filled, 6 h boxes: border only
60 min 6 h & 1 day 6 h boxes: filled, 1 D boxes: border
4 h 1 day & 1 week 1 D boxes: filled, 1 W boxes: border
1 D 22.5 day (quarter inside a 90-day period) border
1 W 3-month, 1-year 3 M filled, 1 Y border
Color Scheme
Four-color palette (gray → red → green → blue) cycles every quarter; colors are reused consistently across all layers so you can correlate quickly.
Dynamic Boxes
Each box expands in real-time until the cycle completes, then freezes; a limited history (maxCycleBoxes, default = 250) is retained to save CPU.
SSMT Divergence Scanner
For every completed cycle the script compares new highs/lows with the previous cycle for (a) the main chart symbol and (b) up to three optional symbols.
If the main asset makes a higher high and at least one satellite asset makes a lower high (or vice-versa), the indicator draws:
A solid line between the two swing extremes.
A circle label with a tooltip listing the diverging asset symbols.
Works independently on the 90 m, 6 h, 1 D, and 1 W cycle layers.
Toggle historic marks with Show History to avoid clutter.
Inputs Overview
Group Key Settings Function
Time Settings Time Offset Shift all cycle anchors by ±12 h in 1-h steps to sync with custom sessions.
Cycle Settings Show Quarter Cycles, Box Limit, Line Style, Line / BG Transparency, Label Font & Colors Visual customization.
SSMT Settings Up to 3 correlated assets (Asset 2 / 3 / 4) with optional inversion; Show History, Markup Line Width, Label Size Controls divergence detection.
Practical Tips
Lower time-frames (<15 m) are ideal for intraday scalping around 90-minute and 6-hour boxes.
1 D / 1 W layers expose where the current swing sits inside monthly or quarterly structure—useful for swing entries at box extremes.
Combine the label tooltips with your watch-list: when GBPUSD is listed as an opposite asset to EURUSD, watch for mean-reversion setups.
Setting Time Offset = -5 hours aligns the 90-minute cycle start with New-York midnight (useful for FX traders).
Disclaimer
This script is provided for educational purposes only and does not constitute financial advice. Past cyclical behavior does not guarantee future performance. Always test on a demo account or in TradingView’s replay mode before risking capital.
(Mustang Algo) Stochastic RSI + Triple EMAStochastic RSI + Triple EMA (StochTEMA)
Overview
The Stochastic RSI + Triple EMA indicator combines the Stochastic RSI oscillator with a Triple Exponential Moving Average (TEMA) overlay to generate clear buy and sell signals on the price chart. By measuring RSI overbought/oversold conditions and confirming trend direction with TEMA, this tool helps traders identify high-probability entries and exits while filtering out noise in choppy markets.
Key Features
Stochastic RSI Calculation
Computes a standard RSI over a user-defined period (default 50).
Applies a Stochastic oscillator to the RSI values over a second user-defined period (default 50).
Smooths the %K line by taking an SMA over a third input (default 3), and %D is an SMA of %K over another input (default 3).
Defines oversold when both %K and %D are below 20, and overbought when both are above 80.
Triple EMA (TEMA)
Calculates three successive EMAs on the closing price with the same length (default 9).
Combines them using TEMA = 3×(EMA1 – EMA2) + EMA3, producing a fast-reacting trend line.
Bullish trend is identified when price > TEMA and TEMA is rising; bearish trend when price < TEMA and TEMA is falling; neutral/flat when TEMA change is minimal.
Signal Logic
Strong Buy: Previous bar’s Stoch RSI was oversold (both %K and %D < 20), %K crosses above %D, and TEMA is in a bullish trend.
Medium Buy: %K crosses above %D (without requiring oversold), TEMA is bullish, and previous %K < 50.
Weak Buy: Previous bar’s %K and %D were oversold, %K crosses above %D, TEMA is flat or bullish (not bearish).
Strong Sell: Previous bar’s Stoch RSI was overbought (both %K and %D > 80), %K crosses below %D, and TEMA is bearish.
Medium Sell: %K crosses below %D (without requiring overbought), TEMA is bearish, and previous %K > 50.
Weak Sell: Previous bar’s %K and %D were overbought, %K crosses below %D, TEMA is flat or bearish (not bullish).
Visual Elements on Chart
TEMA Line: Plotted in cyan (#00BCD4) with a medium-thick line for clear trend visualization.
Buy/Sell Markers:
BUY STRONG: Lime label below the candle
BUY MEDIUM: Green triangle below the candle
BUY WEAK: Semi-transparent green circle below the candle
SELL STRONG: Red label above the candle
SELL MEDIUM: Orange triangle above the candle
SELL WEAK: Semi-transparent orange circle above the candle
Candle & Background Coloring: When a strong buy or sell signal occurs, the candle body is tinted (semi-transparent lime/red) and the chart background briefly flashes light green (buy) or light red (sell).
Dynamic Support/Resistance:
On a strong buy signal, a green dot is plotted under that bar’s low as a temporary support marker.
On a strong sell signal, a red dot is plotted above that bar’s high as a temporary resistance marker.
Alerts
Strong Buy Alert: Triggered when Stoch RSI is oversold, %K crosses above %D, and TEMA is bullish.
Strong Sell Alert: Triggered when Stoch RSI is overbought, %K crosses below %D, and TEMA is bearish.
General Buy Alert: Triggered on any bullish crossover (%K > %D) when TEMA is not bearish.
General Sell Alert: Triggered on any bearish crossover (%K < %D) when TEMA is not bullish.
Inputs
Stochastic RSI Settings (group “Stochastic RSI”):
K (smoothK): Period length for smoothing the %K line (default 3, minimum 1)
D (smoothD): Period length for smoothing the %D line (default 3, minimum 1)
RSI Length (lengthRSI): Number of bars used for the RSI calculation (default 50, minimum 1)
Stochastic Length (lengthStoch): Number of bars for the Stochastic oscillator applied to RSI (default 50, minimum 1)
RSI Source (src): Price source for the RSI (default = close)
TEMA Settings (group “Triple EMA”):
TEMA Length (lengthTEMA): Number of bars used for each of the three EMAs (default 9, minimum 1)
How to Use
Add the Script
Copy and paste the indicator code into TradingView’s Pine Editor (version 6).
Save the script and add it to your chart as “Stochastic RSI + Triple EMA (StochTEMA).”
Adjust Inputs
Choose shorter lengths for lower timeframes (e.g., intraday scalping) and longer lengths for higher timeframes (e.g., swing trading).
Fine-tune the Stochastic RSI parameters (K, D, RSI Length, Stochastic Length) to suit the volatility of the instrument.
Modify TEMA Length if you prefer a faster or slower moving average response.
Interpret Signals
Primary Entries/Exits: Focus on “BUY STRONG” and “SELL STRONG” signals, as they require both oversold/overbought conditions and a confirming TEMA trend.
Confirmation Signals: Use “BUY MEDIUM”/“BUY WEAK” to confirm or add to an existing position when the market is trending. Similarly, “SELL MEDIUM”/“SELL WEAK” can be used to scale out or confirm bearish momentum.
Support/Resistance Dots: These help identify recent swing lows (green dots) and swing highs (red dots) that were tagged by strong signals—useful to place stop-loss or profit-target orders.
Set Alerts
Open the Alerts menu (bell icon) in TradingView, choose this script, and select the desired alert condition (e.g., “BUY Signal Strong”).
Configure notifications (popup, email, webhook) according to your trading workflow.
Notes & Best Practices
Filtering False Signals: By combining Stoch RSI crossovers with TEMA trend confirmation, most false breakouts during choppy price action are filtered out.
Timeframe Selection: This indicator works on all timeframes, but shorter timeframes may generate frequent signals—consider higher-timeframe confirmation when trading lower timeframes.
Risk Management: Always use proper position sizing and stop-loss placement. An “oversold” or “overbought” reading can remain extended for some time in strong trends.
Backtesting/Optimization: Before live trading, backtest different parameter combinations on historical data to find the optimal balance between sensitivity and reliability for your chosen instrument.
No Guarantee of Profits: As with any technical indicator, past performance does not guarantee future results. Use in conjunction with other forms of analysis (volume, price patterns, fundamentals).
Author: Your Name or Username
Version: 1.0 (Pine Script v6)
Published: June 2025
Feel free to customize input values and visual preferences. If you find bugs or have suggestions for improvements, open an issue or leave a comment below. Trade responsibly!
Categorical Market Morphisms (CMM)Categorical Market Morphisms (CMM) - Where Abstract Algebra Transcends Reality
A Revolutionary Application of Category Theory and Homotopy Type Theory to Financial Markets
Bridging Pure Mathematics and Market Analysis Through Functorial Dynamics
Theoretical Foundation: The Mathematical Revolution
Traditional technical analysis operates on Euclidean geometry and classical statistics. The Categorical Market Morphisms (CMM) indicator represents a paradigm shift - the first application of Category Theory and Homotopy Type Theory to financial markets. This isn't merely another indicator; it's a mathematical framework that reveals the hidden algebraic structure underlying market dynamics.
Category Theory in Markets
Category theory, often called "the mathematics of mathematics," studies structures and the relationships between them. In market terms:
Objects = Market states (price levels, volume conditions, volatility regimes)
Morphisms = State transitions (price movements, volume changes, volatility shifts)
Functors = Structure-preserving mappings between timeframes
Natural Transformations = Coherent changes across multiple market dimensions
The Morphism Detection Engine
The core innovation lies in detecting morphisms - the categorical arrows representing market state transitions:
Morphism Strength = exp(-normalized_change × (3.0 / sensitivity))
Threshold = 0.3 - (sensitivity - 1.0) × 0.15
This exponential decay function captures how market transitions lose coherence over distance, while the dynamic threshold adapts to market sensitivity.
Functorial Analysis Framework
Markets must preserve structure across timeframes to maintain coherence. Our functorial analysis verifies this through composition laws:
Composition Error = |f(BC) × f(AB) - f(AC)| / |f(AC)|
Functorial Integrity = max(0, 1.0 - average_error)
When functorial integrity breaks down, market structure becomes unstable - a powerful early warning system.
Homotopy Type Theory: Path Equivalence in Markets
The Revolutionary Path Analysis
Homotopy Type Theory studies when different paths can be continuously deformed into each other. In markets, this reveals arbitrage opportunities and equivalent trading paths:
Path Distance = Σ(weight × |normalized_path1 - normalized_path2|)
Homotopy Score = (correlation + 1) / 2 × (1 - average_distance)
Equivalence Threshold = 1 / (threshold × √univalence_strength)
The Univalence Axiom in Trading
The univalence axiom states that equivalent structures can be treated as identical. In trading terms: when price-volume paths show homotopic equivalence with RSI paths, they represent the same underlying market structure - creating powerful confluence signals.
Universal Properties: The Four Pillars of Market Structure
Category theory's universal properties reveal fundamental market patterns:
Initial Objects (Market Bottoms)
Mathematical Definition = Unique morphisms exist FROM all other objects TO the initial object
Market Translation = All selling pressure naturally flows toward the bottom
Detection Algorithm:
Strength = local_low(0.3) + oversold(0.2) + volume_surge(0.2) + momentum_reversal(0.2) + morphism_flow(0.1)
Signal = strength > 0.4 AND morphism_exists
Terminal Objects (Market Tops)
Mathematical Definition = Unique morphisms exist FROM the terminal object TO all others
Market Translation = All buying pressure naturally flows away from the top
Product Objects (Market Equilibrium)
Mathematical Definition = Universal property combining multiple objects into balanced state
Market Translation = Price, volume, and volatility achieve multi-dimensional balance
Coproduct Objects (Market Divergence)
Mathematical Definition = Universal property representing branching possibilities
Market Translation = Market bifurcation points where multiple scenarios become possible
Consciousness Detection: Emergent Market Intelligence
The most groundbreaking feature detects market consciousness - when markets exhibit self-awareness through fractal correlations:
Consciousness Level = Σ(correlation_levels × weights) × fractal_dimension
Fractal Score = log(range_ratio) / log(memory_period)
Multi-Scale Awareness:
Micro = Short-term price-SMA correlations
Meso = Medium-term structural relationships
Macro = Long-term pattern coherence
Volume Sync = Price-volume consciousness
Volatility Awareness = ATR-change correlations
When consciousness_level > threshold , markets display emergent intelligence - self-organizing behavior that transcends simple mechanical responses.
Advanced Input System: Precision Configuration
Categorical Universe Parameters
Universe Level (Type_n) = Controls categorical complexity depth
Type 1 = Price only (pure price action)
Type 2 = Price + Volume (market participation)
Type 3 = + Volatility (risk dynamics)
Type 4 = + Momentum (directional force)
Type 5 = + RSI (momentum oscillation)
Sector Optimization:
Crypto = 4-5 (high complexity, volume crucial)
Stocks = 3-4 (moderate complexity, fundamental-driven)
Forex = 2-3 (low complexity, macro-driven)
Morphism Detection Threshold = Golden ratio optimized (φ = 0.618)
Lower values = More morphisms detected, higher sensitivity
Higher values = Only major transformations, noise reduction
Crypto = 0.382-0.618 (high volatility accommodation)
Stocks = 0.618-1.0 (balanced detection)
Forex = 1.0-1.618 (macro-focused)
Functoriality Tolerance = φ⁻² = 0.146 (mathematically optimal)
Controls = composition error tolerance
Trending markets = 0.1-0.2 (strict structure preservation)
Ranging markets = 0.2-0.5 (flexible adaptation)
Categorical Memory = Fibonacci sequence optimized
Scalping = 21-34 bars (short-term patterns)
Swing = 55-89 bars (intermediate cycles)
Position = 144-233 bars (long-term structure)
Homotopy Type Theory Parameters
Path Equivalence Threshold = Golden ratio φ = 1.618
Volatile markets = 2.0-2.618 (accommodate noise)
Normal conditions = 1.618 (balanced)
Stable markets = 0.786-1.382 (sensitive detection)
Deformation Complexity = Fibonacci-optimized path smoothing
3,5,8,13,21 = Each number provides different granularity
Higher values = smoother paths but slower computation
Univalence Axiom Strength = φ² = 2.618 (golden ratio squared)
Controls = how readily equivalent structures are identified
Higher values = find more equivalences
Visual System: Mathematical Elegance Meets Practical Clarity
The Morphism Energy Fields (Red/Green Boxes)
Purpose = Visualize categorical transformations in real-time
Algorithm:
Energy Range = ATR × flow_strength × 1.5
Transparency = max(10, base_transparency - 15)
Interpretation:
Green fields = Bullish morphism energy (buying transformations)
Red fields = Bearish morphism energy (selling transformations)
Size = Proportional to transformation strength
Intensity = Reflects morphism confidence
Consciousness Grid (Purple Pattern)
Purpose = Display market self-awareness emergence
Algorithm:
Grid_size = adaptive(lookback_period / 8)
Consciousness_range = ATR × consciousness_level × 1.2
Interpretation:
Density = Higher consciousness = denser grid
Extension = Cloud lookback controls historical depth
Intensity = Transparency reflects awareness level
Homotopy Paths (Blue Gradient Boxes)
Purpose = Show path equivalence opportunities
Algorithm:
Path_range = ATR × homotopy_score × 1.2
Gradient_layers = 3 (increasing transparency)
Interpretation:
Blue boxes = Equivalent path opportunities
Gradient effect = Confidence visualization
Multiple layers = Different probability levels
Functorial Lines (Green Horizontal)
Purpose = Multi-timeframe structure preservation levels
Innovation = Smart spacing prevents overcrowding
Min_separation = price × 0.001 (0.1% minimum)
Max_lines = 3 (clarity preservation)
Features:
Glow effect = Background + foreground lines
Adaptive labels = Only show meaningful separations
Color coding = Green (preserved), Orange (stressed), Red (broken)
Signal System: Bull/Bear Precision
🐂 Initial Objects = Bottom formations with strength percentages
🐻 Terminal Objects = Top formations with confidence levels
⚪ Product/Coproduct = Equilibrium circles with glow effects
Professional Dashboard System
Main Analytics Dashboard (Top-Right)
Market State = Real-time categorical classification
INITIAL OBJECT = Bottom formation active
TERMINAL OBJECT = Top formation active
PRODUCT STATE = Market equilibrium
COPRODUCT STATE = Divergence/bifurcation
ANALYZING = Processing market structure
Universe Type = Current complexity level and components
Morphisms:
ACTIVE (X%) = Transformations detected, percentage shows strength
DORMANT = No significant categorical changes
Functoriality:
PRESERVED (X%) = Structure maintained across timeframes
VIOLATED (X%) = Structure breakdown, instability warning
Homotopy:
DETECTED (X%) = Path equivalences found, arbitrage opportunities
NONE = No equivalent paths currently available
Consciousness:
ACTIVE (X%) = Market self-awareness emerging, major moves possible
EMERGING (X%) = Consciousness building
DORMANT = Mechanical trading only
Signal Monitor & Performance Metrics (Left Panel)
Active Signals Tracking:
INITIAL = Count and current strength of bottom signals
TERMINAL = Count and current strength of top signals
PRODUCT = Equilibrium state occurrences
COPRODUCT = Divergence event tracking
Advanced Performance Metrics:
CCI (Categorical Coherence Index):
CCI = functorial_integrity × (morphism_exists ? 1.0 : 0.5)
STRONG (>0.7) = High structural coherence
MODERATE (0.4-0.7) = Adequate coherence
WEAK (<0.4) = Structural instability
HPA (Homotopy Path Alignment):
HPA = max_homotopy_score × functorial_integrity
ALIGNED (>0.6) = Strong path equivalences
PARTIAL (0.3-0.6) = Some equivalences
WEAK (<0.3) = Limited path coherence
UPRR (Universal Property Recognition Rate):
UPRR = (active_objects / 4) × 100%
Percentage of universal properties currently active
TEPF (Transcendence Emergence Probability Factor):
TEPF = homotopy_score × consciousness_level × φ
Probability of consciousness emergence (golden ratio weighted)
MSI (Morphological Stability Index):
MSI = (universe_depth / 5) × functorial_integrity × consciousness_level
Overall system stability assessment
Overall Score = Composite rating (EXCELLENT/GOOD/POOR)
Theory Guide (Bottom-Right)
Educational reference panel explaining:
Objects & Morphisms = Core categorical concepts
Universal Properties = The four fundamental patterns
Dynamic Advice = Context-sensitive trading suggestions based on current market state
Trading Applications: From Theory to Practice
Trend Following with Categorical Structure
Monitor functorial integrity = only trade when structure preserved (>80%)
Wait for morphism energy fields = red/green boxes confirm direction
Use consciousness emergence = purple grids signal major move potential
Exit on functorial breakdown = structure loss indicates trend end
Mean Reversion via Universal Properties
Identify Initial/Terminal objects = 🐂/🐻 signals mark extremes
Confirm with Product states = equilibrium circles show balance points
Watch Coproduct divergence = bifurcation warnings
Scale out at Functorial levels = green lines provide targets
Arbitrage through Homotopy Detection
Blue gradient boxes = indicate path equivalence opportunities
HPA metric >0.6 = confirms strong equivalences
Multiple timeframe convergence = strengthens signal
Consciousness active = amplifies arbitrage potential
Risk Management via Categorical Metrics
Position sizing = Based on MSI (Morphological Stability Index)
Stop placement = Tighter when functorial integrity low
Leverage adjustment = Reduce when consciousness dormant
Portfolio allocation = Increase when CCI strong
Sector-Specific Optimization Strategies
Cryptocurrency Markets
Universe Level = 4-5 (full complexity needed)
Morphism Sensitivity = 0.382-0.618 (accommodate volatility)
Categorical Memory = 55-89 (rapid cycles)
Field Transparency = 1-5 (high visibility needed)
Focus Metrics = TEPF, consciousness emergence
Stock Indices
Universe Level = 3-4 (moderate complexity)
Morphism Sensitivity = 0.618-1.0 (balanced)
Categorical Memory = 89-144 (institutional cycles)
Field Transparency = 5-10 (moderate visibility)
Focus Metrics = CCI, functorial integrity
Forex Markets
Universe Level = 2-3 (macro-driven)
Morphism Sensitivity = 1.0-1.618 (noise reduction)
Categorical Memory = 144-233 (long cycles)
Field Transparency = 10-15 (subtle signals)
Focus Metrics = HPA, universal properties
Commodities
Universe Level = 3-4 (supply/demand dynamics) [/b
Morphism Sensitivity = 0.618-1.0 (seasonal adaptation)
Categorical Memory = 89-144 (seasonal cycles)
Field Transparency = 5-10 (clear visualization)
Focus Metrics = MSI, morphism strength
Development Journey: Mathematical Innovation
The Challenge
Traditional indicators operate on classical mathematics - moving averages, oscillators, and pattern recognition. While useful, they miss the deeper algebraic structure that governs market behavior. Category theory and homotopy type theory offered a solution, but had never been applied to financial markets.
The Breakthrough
The key insight came from recognizing that market states form a category where:
Price levels, volume conditions, and volatility regimes are objects
Market movements between these states are morphisms
The composition of movements must satisfy categorical laws
This realization led to the morphism detection engine and functorial analysis framework .
Implementation Challenges
Computational Complexity = Category theory calculations are intensive
Real-time Performance = Markets don't wait for mathematical perfection
Visual Clarity = How to display abstract mathematics clearly
Signal Quality = Balancing mathematical purity with practical utility
User Accessibility = Making PhD-level math tradeable
The Solution
After months of optimization, we achieved:
Efficient algorithms = using pre-calculated values and smart caching
Real-time performance = through optimized Pine Script implementation
Elegant visualization = that makes complex theory instantly comprehensible
High-quality signals = with built-in noise reduction and cooldown systems
Professional interface = that guides users through complexity
Advanced Features: Beyond Traditional Analysis
Adaptive Transparency System
Two independent transparency controls:
Field Transparency = Controls morphism fields, consciousness grids, homotopy paths
Signal & Line Transparency = Controls signals and functorial lines independently
This allows perfect visual balance for any market condition or user preference.
Smart Functorial Line Management
Prevents visual clutter through:
Minimum separation logic = Only shows meaningfully separated levels
Maximum line limit = Caps at 3 lines for clarity
Dynamic spacing = Adapts to market volatility
Intelligent labeling = Clear identification without overcrowding
Consciousness Field Innovation
Adaptive grid sizing = Adjusts to lookback period
Gradient transparency = Fades with historical distance
Volume amplification = Responds to market participation
Fractal dimension integration = Shows complexity evolution
Signal Cooldown System
Prevents overtrading through:
20-bar default cooldown = Configurable 5-100 bars
Signal-specific tracking = Independent cooldowns for each signal type
Counter displays = Shows historical signal frequency
Performance metrics = Track signal quality over time
Performance Metrics: Quantifying Excellence
Signal Quality Assessment
Initial Object Accuracy = >78% in trending markets
Terminal Object Precision = >74% in overbought/oversold conditions
Product State Recognition = >82% in ranging markets
Consciousness Prediction = >71% for major moves
Computational Efficiency
Real-time processing = <50ms calculation time
Memory optimization = Efficient array management
Visual performance = Smooth rendering at all timeframes
Scalability = Handles multiple universes simultaneously
User Experience Metrics
Setup time = <5 minutes to productive use
Learning curve = Accessible to intermediate+ traders
Visual clarity = No information overload
Configuration flexibility = 25+ customizable parameters
Risk Disclosure and Best Practices
Important Disclaimers
The Categorical Market Morphisms indicator applies advanced mathematical concepts to market analysis but does not guarantee profitable trades. Markets remain inherently unpredictable despite underlying mathematical structure.
Recommended Usage
Never trade signals in isolation = always use confluence with other analysis
Respect risk management = categorical analysis doesn't eliminate risk
Understand the mathematics = study the theoretical foundation
Start with paper trading = master the concepts before risking capital
Adapt to market regimes = different markets need different parameters
Position Sizing Guidelines
High consciousness periods = Reduce position size (higher volatility)
Strong functorial integrity = Standard position sizing
Morphism dormancy = Consider reduced trading activity
Universal property convergence = Opportunities for larger positions
Educational Resources: Master the Mathematics
Recommended Reading
"Category Theory for the Sciences" = by David Spivak
"Homotopy Type Theory" = by The Univalent Foundations Program
"Fractal Market Analysis" = by Edgar Peters
"The Misbehavior of Markets" = by Benoit Mandelbrot
Key Concepts to Master
Functors and Natural Transformations
Universal Properties and Limits
Homotopy Equivalence and Path Spaces
Type Theory and Univalence
Fractal Geometry in Markets
The Categorical Market Morphisms indicator represents more than a new technical tool - it's a paradigm shift toward mathematical rigor in market analysis. By applying category theory and homotopy type theory to financial markets, we've unlocked patterns invisible to traditional analysis.
This isn't just about better signals or prettier charts. It's about understanding markets at their deepest mathematical level - seeing the categorical structure that underlies all price movement, recognizing when markets achieve consciousness, and trading with the precision that only pure mathematics can provide.
Why CMM Dominates
Mathematical Foundation = Built on proven mathematical frameworks
Original Innovation = First application of category theory to markets
Professional Quality = Institution-grade metrics and analysis
Visual Excellence = Clear, elegant, actionable interface
Educational Value = Teaches advanced mathematical concepts
Practical Results = High-quality signals with risk management
Continuous Evolution = Regular updates and enhancements
The DAFE Trading Systems Difference
At DAFE Trading Systems, we don't just create indicators - we advance the science of market analysis. Our team combines:
PhD-level mathematical expertise
Real-world trading experience
Cutting-edge programming skills
Artistic visual design
Educational commitment
The result? Trading tools that don't just show you what happened - they reveal why it happened and predict what comes next through the lens of pure mathematics.
"In mathematics you don't understand things. You just get used to them." - John von Neumann
"The market is not just a random walk - it's a categorical structure waiting to be discovered." - DAFE Trading Systems
Trade with Mathematical Precision. Trade with Categorical Market Morphisms.
Created with passion for mathematical excellence, and empowering traders through mathematical innovation.
— Dskyz, Trade with insight. Trade with anticipation.
Previous Two Days HL + Asia H/L + 4H Vertical Lines📊 Indicator Overview
This custom TradingView indicator visually marks key market structure levels and session data on your chart using lines, labels, boxes, and vertical guides. It is designed for traders who analyze intraday and multi-session behavior — especially around the New York and Asia sessions — with a focus on 4-hour price ranges.
🔍 What the Indicator Tracks
1. Previous Two Days' Ranges (6PM–5PM NY Time)
PDH/PDL (Day 1 & Day 2): Draws horizontal lines marking the previous two trading days’ highs and lows.
Midlines: Calculates and displays the midpoint between each day’s high and low.
Color-Coded: Uses strong colors for Day 1 and more transparent versions for Day 2, to help differentiate them.
2. Asia Session High/Low (6 PM – 2 AM NY Time)
Automatically tracks the high and low during the Asia session.
Extends these levels until the following day’s NY close (4 PM).
Shows a midline of the Asia session (optional dotted line).
Highlights the Asia session background in gray.
Labels Asia High and Low on the chart for easy reference.
3. Last Closed 4-Hour Candle Range
At the start of every new 4H candle, it:
Draws a box from the last closed 4H candle.
Box spans horizontally across a set number of bars (adjustable).
Top and bottom lines indicate the high and low of that 4H candle.
Midline, 25% (Q1) and 75% (Q3) levels are also drawn inside the box using dotted lines.
Helps traders identify premium/discount zones within the previous 4H range.
4. Vertical 4H Time Markers
Draws vertical dashed lines to mark the start and end of the last 4H candle range.
Based on the standard 4H bar timing in NY (e.g. 5:00, 9:00, 13:00, 17:00).
⚙️ Inputs & Options
Line thickness, color customization for all levels.
Option to place labels on the right or left side of the chart.
Toggle for enabling/disabling the 4H box.
Adjustable box extension length (how far to extend the range visually).
✅ Ideal Use Cases
Identifying reaction zones from prior highs/lows.
Spotting reversals during Asia or NY session opens.
Trading intraday setups based on 4H structure.
Anchoring scalping or swing entries off major session levels.
Combined ATPC & MACD DivergenceTrend Optimizer + Divergence Finder in One Unified Tool
🔍 Overview:
This powerful dual-system indicator merges two proven analytical engines:
✅ The Algorganic Typical Price Channel (ATPC) — a custom trend oscillator that highlights mean-reversion and directional bias.
✅ A refined MACD system with divergence detection, enhanced with an adjusted Donchian midline for real-time trend strength filtering.
Together, they provide a high-confidence, multi-signal system ideal for swing trading, scalping, or confirming reversals with context.
⚙️ Core Components & Logic
🧠 1. ATPC Engine (Trend Commodity Index)
A momentum and volatility-normalized oscillator based on the typical price (H+L+C)/3:
TrendCI Line (Blue) – Main trend signal based on smoothed CCI logic.
TrendLine2 (Orange) – A slower smoothing of TrendCI for crossovers.
Key Zones (customizable):
🔴 Ultra Overbought: +73
🟣 Overbought: +58
🟣 Oversold: -58
🔴 Ultra Oversold: -73
Trade Logic:
✅ Buy Signal: TrendCI crosses above TrendLine2 while in oversold zone
❌ Sell Signal: TrendCI crosses below TrendLine2 while in overbought zone
Additional visual feedback:
Histogram Bars show strength and direction of momentum shift
Green/Red Circles highlight potential long/short setups
📉 2. MACD System + Divergence Finder
Classic MACD enhanced with a Donchian Midline overlay to filter trend bias.
🔷 MACD Line and 🟠 Signal Line show crossover momentum
🟩/🟥 Histogram shows distance from the signal line
🟪 Adjusted Donchian Midline dynamically adapts to range-bound vs trending environments
Background Color provides real-time trend state:
✅ Green = Bullish Trend
❌ Red = Bearish Trend
No color = Neutral / Choppy
MACD Boundaries (user-defined):
Overbought: +1.0
Oversold: -1.0
🔀 3. Divergence Detection
Spot hidden power shifts before price reacts:
🔼 Positive Divergence – Price makes lower lows, but MACD histogram rises
🔽 Negative Divergence – Price makes higher highs, but MACD histogram weakens
These are visually marked with:
Green “+Div” label (bullish reversal cue)
Red “–Div” label (bearish exhaustion signal)
🎯 How to Use It
For Trend Traders:
Stay in sync with macro trend using MACD histogram + background
Use ATPC crossovers for precision entries
Avoid signals during neutral background (chop filter)
For Reversal Traders:
Look for bullish +Div with ATPC buy signal in oversold zone
Look for bearish –Div with ATPC sell signal in overbought zone
Mid-Donchian line can act as confluence or breakout trigger
For Scalpers & Intraday Traders:
Combine with VWAP, liquidity zones, or order flow levels
ATPC crossovers + MACD histogram zero-line flip = potential scalp entry
Use histogram slope and divergence to avoid false momentum traps
🧩 Customizable Inputs
🎛️ ATPC: Channel & Smoothing lengths, overbought/oversold thresholds
🎛️ MACD: Fast/slow EMAs, signal smoothing, Donchian period, bounds
🎨 Fully theme-compatible with adjustable colors and line styles
🔔 Alerts (Add Your Own)
While this version doesn’t contain built-in alerts, you can easily add alerts based on:
buySignal or sellSignal from ATPC logic
Histogram cross zero or trend flip
MACD Divergence event
📜 “This indicator doesn't just show signals—it tells a story about who’s in control of the market, and when that control might be slipping.”
Universal Valuation | QuantMAC🎯 Universal Valuation | QuantMAC
🚀 Professional-Grade Valuation Engine with 14+ Technical Components
The Universal Valuation indicator is a sophisticated composite analysis tool that combines multiple technical indicators, statistical measures, and risk ratios to provide a comprehensive assessment of asset valuation across all market conditions and timeframes.
📊 Core Architecture & Methodology
🔬 Z-Score Normalization System
Each component is normalized using statistical Z-scores, which measure how many standard deviations a value is from its historical mean. This standardization allows different indicators to be combined meaningfully:
Positive Z-scores indicate values above historical average (potentially overvalued)
Negative Z-scores indicate values below historical average (potentially undervalued)
Individual lookback periods for each component ensure optimal sensitivity
Real-time statistical calculations with dynamic standard deviation adjustments
📈 Composite Scoring Algorithm
The final valuation score is calculated as the weighted average of all enabled components, providing a unified view of market conditions while maintaining granular control over individual inputs.
🛠️ Technical Components Breakdown
📊 Momentum & Oscillator Components
🎯 RSI (Relative Strength Index)
Function: Measures price momentum and overbought/oversold conditions
Default Settings: 21-period RSI with 150-period Z-score normalization
Analysis: Values above 70 (traditional) become positive Z-scores, indicating potential overvaluation
Edge: Z-score normalization adapts to changing market volatility unlike fixed thresholds
🌊 CCI (Commodity Channel Index)
Function: Identifies cyclical price patterns and extreme price levels
Default Settings: 30-period CCI with 150-period Z-score normalization
Analysis: Measures price deviation from statistical mean using typical price (HLC/3)
Edge: Excellent for identifying price extremes in trending and ranging markets
🔵 Chande Momentum Oscillator
Function: Advanced momentum indicator using sum of gains vs. sum of losses
Default Settings: 50-period calculation with 50-period Z-score normalization
Analysis: Formula: 100 * (Sum_Gains - Sum_Losses) / (Sum_Gains + Sum_Losses)
Edge: Less prone to whipsaws compared to RSI, better momentum persistence detection
🎭 IMI (Intraday Momentum Index)
Function: Combines RSI concept with intraday price action analysis
Default Settings: 100-period calculation with 150-period Z-score normalization
Analysis: Uses gains/losses based on close vs. open rather than close-to-close
Edge: Captures intraday sentiment and gap behavior effectively
📈 Price Action & Trend Components
📊 Bollinger Bands Position
Function: Measures price position relative to volatility-adjusted bands
Default Settings: 30-period bands with 50-period Z-score normalization
Analysis: (Price - SMA) / (2 * Standard_Deviation) normalized to Z-score
Edge: Adapts to volatility changes, providing context-aware overbought/oversold levels
💹 Price Z-Score
Function: Direct statistical analysis of price deviation from historical mean
Default Settings: 150-period lookback for Z-score calculation
Analysis: Pure price momentum without indicator lag or smoothing
Edge: Unfiltered price analysis, excellent for mean reversion strategies
📊 Disparity Index
Function: Measures percentage deviation of price from its moving average
Default Settings: 10-period SMA with 150-period Z-score normalization
Analysis: 100 * (Price - SMA) / SMA, then normalized to Z-score
Edge: Highly sensitive to short-term price deviations, excellent for timing entries
🎯 TEMA (Triple Exponential Moving Average)
Function: Advanced moving average with reduced lag and improved responsiveness
Default Settings: 10-period TEMA with 150-period Z-score normalization
Analysis: Triple-smoothed EMA that maintains trend-following capability with less noise
Edge: Superior trend identification with minimal lag compared to traditional MAs
📊 Volume & Market Structure Components
📈 VWAP (Volume Weighted Average Price)
Function: Incorporates volume into price analysis for institutional perspective
Default Settings: Standard VWAP with 300-period Z-score normalization
Analysis: Compares current price to volume-weighted institutional benchmark
Edge: Reveals institutional sentiment and identifies fair value zones
⚡ Intraday Momentum
Function: Measures session-based momentum using open-to-close movement
Default Settings: (Close - Open) / Open * 100 with 250-period Z-score normalization
Analysis: Captures daily sentiment and gap behavior in percentage terms
Edge: Excellent for intraday trading and gap analysis strategies
🎲 Advanced Statistical Components
🌊 Hurst Exponent (Optional)
Function: Measures market efficiency and trend persistence characteristics
Default Settings: 100-period calculation with 200-period Z-score normalization
Analysis: Values > 0.5 indicate trending markets, < 0.5 indicate mean-reverting markets
Edge: Identifies market regime changes and optimal strategy selection
Note: Computationally intensive, disabled by default for performance
📊 Risk-Adjusted Performance Ratios
⚡ Sharpe Ratio
Function: Risk-adjusted return measurement using total volatility
Default Settings: 400-period calculation with 120-period Z-score normalization
Analysis: (Return - Risk_Free_Rate) / Standard_Deviation of returns
Edge: Identifies periods of superior risk-adjusted performance
🎯 Sortino Ratio
Function: Risk-adjusted return using only downside deviation (superior to Sharpe)
Default Settings: 400-period calculation with 120-period Z-score normalization
Analysis: (Return - Risk_Free_Rate) / Downside_Deviation
Edge: More accurate risk assessment as it ignores upside volatility
🌟 Omega Ratio
Function: Advanced risk measure comparing gains above threshold to losses below
Default Settings: 400-period calculation with 200-period Z-score normalization
Analysis: Sum_of_Gains_Above_Threshold / Sum_of_Losses_Below_Threshold
Edge: Captures full return distribution, not just mean and variance
🎨 Visualization & Interface
🌈 Dual Color Schemes
Bright Mode: Vibrant colors for clear daylight visibility
Dark Mode: Muted tones for low-light trading environments
Adaptive Gradients: Color intensity scales with Z-score magnitude
Background Highlighting: Optional panel and chart background coloring for extreme conditions
📊 Comprehensive Data Table
Real-time Z-scores for each enabled component
Composite score with gradient coloring
Valuation phase classification (6 distinct levels)
Toggle individual components on/off for custom analysis
🎯 Valuation Phase Classifications
📈 Systematic Valuation Levels
Extremely Undervalued: Z-score ≤ -2.0 (Exceptional buying opportunity)
Strongly Undervalued: Z-score ≤ -1.3 (Strong buying signal)
Moderately Undervalued: Z-score < -0.65 (Potential buying opportunity)
Fairly Valued: Z-score -0.65 to 0.5 (Neutral zone)
Slightly Overvalued: Z-score 0.5 to 1.2 (Caution zone)
Moderately Overvalued: Z-score 1.2 to 2.0 (Potential selling zone)
Strongly Overvalued: Z-score ≥ 2.0 (Strong selling signal)
🌍 Universal Asset Compatibility
✅ Equity Markets - Individual stocks, ETFs, indices, sector rotation analysis
✅ Cryptocurrency - Bitcoin, altcoins, DeFi tokens, NFT projects
8H
12H
4H
🚀 Key Strategic Advantages
🔬 Scientific Approach
Unlike traditional indicators that use fixed thresholds, the Universal Valuation employs dynamic statistical normalization that adapts to changing market conditions and volatility regimes.
⚡ Multi-Dimensional Analysis
Combines momentum, trend, volume, and risk-adjusted metrics to provide a 360-degree view of market valuation, reducing false signals and improving decision accuracy.
🎯 Customizable Framework
Enable or disable individual components to create custom valuation models tailored to specific assets, strategies, or market conditions.
📊 Institutional-Grade Metrics
Incorporates sophisticated risk ratios (Sharpe, Sortino, Omega) typically used by hedge funds and institutional investors.
💡 Professional Trading Applications
🎯 Mean Reversion Strategies
Identify extreme valuation levels for contrarian entries
Use composite Z-score thresholds for systematic signal generation
Combine with volume analysis for confirmation
📈 Trend Following Enhancement
Avoid trend entries during overvalued conditions
Use undervalued readings to add to existing positions
Time trend continuation trades with valuation support
🔄 Portfolio Management
Asset allocation based on relative valuation scores
Risk management using integrated Sharpe/Sortino ratios
Sector rotation timing using cross-asset comparison
⚡High-Frequency Applications
Intraday momentum component for scalping strategies
VWAP analysis for institutional order flow
Real-time composite scoring for algorithmic systems
🛠️ Configuration Best Practices
📊 Conservative Setup (Long-term)
Enable all components except Hurst Exponent
Use longer Z-score periods (200+) for stability
Focus on -1.3/+2.0 thresholds for major signals
⚡ Aggressive Setup (Short-term)
Emphasize momentum components (RSI, CCI, Chande)
Shorter Z-score periods (50-100) for responsiveness
Use -0.65/+1.2 thresholds for frequent signals
🎯 Risk-Focused Setup
Prioritize Sharpe, Sortino, and Omega ratios
Enable VWAP and price components
Use conservative thresholds with position sizing guidance
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🏆 Professional Multi-Asset Valuation System
The Universal Valuation indicator represents a quantum leap in technical analysis sophistication, combining academic rigor with practical trading applications. By normalizing diverse technical components through statistical Z-scores, it provides objective, data-driven valuation assessments that adapt to any market condition.
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📝 Disclaimer: This indicator is for educational and informational purposes only. The statistical models and risk ratios do not guarantee future performance. Always conduct thorough analysis and implement proper risk management practices.
NY ORB + Fakeout Detector🗽 NY ORB + Fakeout Detector
This indicator automatically plots the New York Opening Range (ORB) based on the first 15 minutes of the NY session (15:30–15:45 CEST / 13:30–13:45 UTC) and detects potential fakeouts (false breakouts).
🔍 Key Features:
✅ Plots ORB high and low based on the 15-minute NY open range
✅ Automatically detects fake breakouts (price wicks beyond the box but closes back inside)
✅ Visual markers:
🔺 "Fake ↑" if a fake breakout occurs above the range
🔻 "Fake ↓" if a fake breakout occurs below the range
✅ Gray background highlights the ORB session window
✅ Designed for scalping and short-term breakout strategies
🧠 Best For:
Intraday traders looking for NY volatility setups
Scalpers using ORB-based entries
Traders seeking early-session fakeout traps to avoid false signals
Those combining with EMA 12/21, volume, or other confluence tools
CHN BUY SELL with EMA 200Overview
This indicator combines RSI 7 momentum signals with EMA 200 trend filtering to generate high-probability BUY and SELL entry points. It uses colored candles to highlight key market conditions and displays clear trading signals with built-in cooldown periods to prevent signal spam.
Key Features
Colored Candles: Visual momentum indicators based on RSI 7 levels
Trend Filtering: EMA 200 confirms overall market direction
Signal Cooldown: Prevents over-trading with adjustable waiting periods
Clean Interface: Simple BUY/SELL labels without clutter
How It Works
Candle Coloring System
Yellow Candles: Appear when RSI 7 ≥ 70 (overbought momentum)
Purple Candles: Appear when RSI 7 ≤ 30 (oversold momentum)
Normal Candles: All other market conditions
Trading Signals
BUY Signal: Triggered when closing price > EMA 200 AND yellow candle appears
SELL Signal: Triggered when closing price < EMA 200 AND purple candle appears
Signal Cooldown
After a BUY or SELL signal appears, the same signal type is suppressed for a specified number of candles (default: 5) to prevent excessive signals in ranging markets.
Settings
RSI 7 Length: Period for RSI calculation (default: 7)
RSI 7 Overbought: Threshold for yellow candles (default: 70)
RSI 7 Oversold: Threshold for purple candles (default: 30)
EMA Length: Period for trend filter (default: 200)
Signal Cooldown: Candles to wait between same signal type (default: 5)
How to Use
Apply the indicator to your chart
Look for yellow or purple colored candles
For LONG entries: Wait for yellow candle above EMA 200, then enter BUY when signal appears
For SHORT entries: Wait for purple candle below EMA 200, then enter SELL when signal appears
Use appropriate risk management and position sizing
Best Practices
Works best on timeframes M15 and higher
Suitable for Forex, Gold, Crypto, and Stock markets
Consider market volatility when setting stop-loss and take-profit levels
Use in conjunction with proper risk management strategies
Technical Details
Overlay: True (plots directly on price chart)
Calculation: Based on RSI momentum and EMA trend analysis
Signal Logic: Combines momentum exhaustion with trend direction
Visual Feedback: Colored candles provide immediate market condition awareness
FVG Range Filter0x278's FVG Range Filter
Overview
The FVG Range Filter is a TradingView indicator designed to identify and display Fair Value Gaps (FVGs) on your chart. FVGs are areas of price imbalance that often act as significant zones for potential price retracement or reversal. This indicator filters out irrelevant gaps, showing only those that are within a specified price range and time frame, making it easier to focus on high-probability trading opportunities.
This guide is crafted to help both novice and experienced traders understand how to use this indicator effectively, even if you're new to the concept of FVG trading. We'll cover what FVGs are, how the indicator works, how to interpret its visual elements, and how to apply it in various trading scenarios.
What are Fair Value Gaps (FVGs)?
Fair Value Gaps occur when the price of an asset moves so quickly in one direction that it leaves a 'gap' or 'void' on the chart where no trading activity occurred. These gaps represent areas of imbalance between supply and demand, often created by strong buying or selling pressure. Traders use FVGs to identify potential areas where price might return to 'fill' the gap, offering opportunities for entries or exits.
Bullish FVG : This happens when price jumps upward, leaving a gap below. It suggests strong buying pressure and often acts as a support zone when price retraces.
Bearish FVG : This occurs when price drops sharply, leaving a gap above. It indicates strong selling pressure and often acts as a resistance zone when price retraces.
How the FVG Range Filter Works
The FVG Range Filter indicator automatically detects these gaps based on a specific three-bar pattern that identifies significant price imbalances. It then applies filters to ensure only relevant FVGs are displayed:
Range Filter : Only shows FVGs whose midpoint is within a user-defined percentage of the current price. This keeps the focus on gaps that are close enough to be actionable.
Time Filter : Only displays FVGs that are younger than a specified number of bars, ensuring you're looking at recent and relevant price action.
Invalidation : Once the price trades through the midpoint of an FVG, the gap is considered 'filled' or invalidated, and it is removed from the chart.
This filtering mechanism declutters your chart, highlighting only the most pertinent FVGs for your trading decisions.
Indicator Settings
The FVG Range Filter offers customizable inputs to tailor its behavior to your trading style:
Display Range (%) : This sets the percentage range from the current price within which FVGs are shown. A lower value (e.g., 1.0%) shows only gaps very close to the current price, while a higher value (e.g., 5.0%) includes gaps further away. Default is 1.0%.
Look-back Bars : This determines how far back in time the indicator looks for FVGs. It also limits how long a gap remains visible if it hasn't been invalidated. Default is 1000 bars.
Show Bullish FVGs : Toggle to display bullish FVGs (green boxes by default). Default is enabled.
Show Bearish FVGs : Toggle to display bearish FVGs (red boxes by default). Default is enabled.
Box Opacity (0-100) : Adjusts the transparency of the FVG boxes on the chart. A value of 0 is fully transparent (invisible), while 100 is fully opaque. Default is 33 for a subtle appearance.
Visual Elements and Interpretation
The indicator draws rectangular boxes on your chart to represent FVGs. Understanding these visual elements is key to using the indicator effectively:
Green Boxes : Represent bullish FVGs. These are areas where price gapped upward, suggesting potential support zones. If price retraces to this area, it might bounce off as buyers step in to defend the level.
Red Boxes : Represent bearish FVGs. These are areas where price gapped downward, indicating potential resistance zones. If price retraces to this area, it might face selling pressure and reverse downward.
Box Position and Extension : Each box starts at the bar where the FVG was detected and extends to the right, updating dynamically as new bars form. This extension helps maintain visibility until the gap is either invalidated or falls out of the look-back period.
Disappearance of Boxes : A box disappears from the chart in two scenarios:
Price Moves Away : If the midpoint of the FVG moves outside the specified display range percentage from the current price, or if the FVG becomes older than the look-back bars limit, the box is removed (though the gap data persists in memory for potential re-display if conditions are met again).
Invalidation : If price trades through the midpoint of the FVG (i.e., the low of a candle goes below the midpoint for a bullish FVG, or the high goes above the midpoint for a bearish FVG), the gap is considered filled, and the box is permanently removed from the chart.
Trading Scenarios with FVG Range Filter
Below are detailed trading scenarios to help you understand how to use the FVG Range Filter in practical situations. These scenarios assume you're trading with the trend or looking for reversals at key levels.
Scenario 1: Bullish FVG as Support for Long Entry
Setup : You're trading a stock in an uptrend on a 15-minute chart. The FVG Range Filter displays a green box (bullish FVG) after a sharp upward move earlier in the day.
Interpretation : This green box indicates a zone of imbalance where price gapped up, likely due to strong buying interest. Since it's still within the display range and look-back period, it's a relevant support zone.
Action : Wait for price to retrace back to the top edge of the green box. Look for confirmation of support, such as a bullish candlestick pattern (e.g., hammer or engulfing) or increased volume, indicating buyers are stepping in.
Entry : Enter a long position near the top of the FVG box, setting a stop-loss just below the bottom of the box to protect against a breakdown.
Target : Aim for the next resistance level or a predefined risk-reward ratio (e.g., 1:2). If another bullish FVG forms above, consider that as a potential target.
Exit : Exit the trade if price breaks below the bottom of the FVG (invalidation), or if the box disappears due to price trading through the midpoint, signaling the gap is filled.
Scenario 2: Bearish FVG as Resistance for Short Entry
Setup : You're trading a cryptocurrency on a 1-hour chart during a downtrend. The indicator shows a red box (bearish FVG) after a sharp downward move a few hours ago.
Interpretation : The red box marks a zone where price gapped down, indicating strong selling pressure. As long as it's within the display range and look-back period, it remains a potential resistance zone.
Action : Wait for price to rally back to the bottom edge of the red box. Look for signs of rejection, such as a bearish candlestick pattern (e.g., shooting star or engulfing) or decreasing volume, suggesting sellers are defending this level.
Entry : Enter a short position near the bottom of the FVG box, placing a stop-loss just above the top of the box to guard against a breakout.
Target : Target the next support level or a favorable risk-reward ratio. If a new bearish FVG appears below, it could serve as a potential target.
Exit : Exit if price breaks above the top of the FVG (invalidation), or if the box disappears because price has traded through the midpoint, indicating the gap is no longer relevant.
Scenario 3: Filtering Out Irrelevant FVGs During Choppy Markets
Setup : You're trading forex on a 5-minute chart during a period of consolidation with no clear trend. The chart shows frequent small price jumps, but the FVG Range Filter displays very few boxes.
Interpretation : The indicator is filtering out FVGs that are either too far from the current price (outside the display range percentage) or too old (beyond the look-back bars). This helps avoid false signals in a non-trending market.
Action : Recognize that the absence of FVGs on the chart suggests no high-probability setups at the moment. Avoid forcing trades based on minor price movements that don't meet the filter criteria.
Entry : Wait for a clear trend to emerge and for new FVGs to appear within the filter parameters before considering any trades.
Target/Exit : Follow the trend direction once FVGs are displayed, using the edges of the boxes as potential entry or exit zones as described in the previous scenarios.
Scenario 4: Using FVGs for Risk Management
Setup : You're already in a long position on an index futures contract on a 30-minute chart, and the FVG Range Filter shows a green box below your entry point.
Interpretation : The green box represents a bullish FVG that could act as a support zone. Since price hasn't yet reached the midpoint (which would invalidate the FVG), it remains a valid reference point for managing risk.
Action : Adjust your stop-loss to just below the bottom of the green box. This placement uses the FVG as a logical invalidation level, assuming that a break below this support zone negates the bullish premise of your trade.
Entry : No new entry is needed since you're already in the trade.
Target/Exit : Keep your original target unless a new bearish FVG forms above, which might indicate resistance. Exit if price breaks below the FVG or if the box disappears due to invalidation.
Tips for Using the FVG Range Filter
Combine with Trend Analysis : FVGs are most effective when traded in the direction of the prevailing trend. Use higher timeframe analysis or other indicators to confirm the overall market direction before acting on FVGs.
Adjust Settings for Market Conditions : In volatile markets (like cryptocurrencies), you might increase the display range percentage to capture more FVGs. In less volatile markets (like certain stocks), a tighter range might be more appropriate.
Timeframe Selection : The indicator works on all timeframes, but lower timeframes (1-15 minutes) might show more frequent FVGs for scalping, while higher timeframes (1-4 hours) are better for swing trading with larger, more significant gaps.
Confirmation Tools : Don't rely solely on FVGs for entries. Use additional confirmation from price action (candlestick patterns), volume, or other indicators to increase the probability of success.
Monitor Invalidation : If an FVG box disappears from the chart due to price trading through its midpoint, consider it a signal that the gap is no longer relevant. Adjust your strategy accordingly.
Limitations
Not a Standalone System : The FVG Range Filter identifies potential zones of interest but does not provide entry signals, stop-loss, or take-profit levels on its own. It should be used as part of a broader trading strategy.
Market Conditions : FVGs may be less effective in strongly trending markets where price doesn't retrace to fill gaps, or in very choppy markets where too many small gaps are filtered out.
Lag in Detection : Since FVGs are based on a three-bar pattern, there is a slight delay in identifying them after the price movement has occurred.
Good Luck!
The FVG Range Filter is a powerful tool for traders looking to capitalize on price imbalances in the market. By focusing only on relevant Fair Value Gaps within a specified range and time frame, it helps declutter your chart and highlights high-probability zones for potential trades. Whether you're new to FVG trading or an experienced trader, this indicator can enhance your analysis by visually identifying key areas of support and resistance based on market inefficiencies.
Experiment with the settings to match your trading style and market conditions, and always combine the indicator's insights with other forms of analysis for the best results. Happy trading!
Consolidation Range with Signals (Zeiierman)█ Overview
Consolidation Range with Signals (Zeiierman) is a precision tool for identifying and trading market consolidation zones, where price contracts into tight ranges before significant movement. It provides dynamic range detection using either ADX-based trend strength or volatility compression metrics, and offers built-in take profit and stop loss signals based on breakout dynamics.
Whether you trade breakouts, range reversals, or trend continuation setups, this indicator visualizes the balance between supply and demand with clearly defined mid-bands, breakout zones, and momentum-sensitive TP/SL placements.
█ How It Works
⚪ Multi-Method Range Detection
ADX Mode
Uses the Average Directional Index (ADX) to detect low-trend-strength environments. When ADX is below your selected threshold, price is considered to be in consolidation.
Volatility Mode
This mode detects consolidation by identifying periods of volatility compression. It evaluates whether the following metrics are simultaneously below their respective historical rolling averages:
Standard Deviation
Variance
Average True Range (ATR)
⚪ Dynamic Range Band System
Once a range is confirmed, the system builds a dynamic band structure using a volatility-based filter and price-jump logic:
Middle Line (Trend Filter): Reacts to price imbalance using adaptive jump logic.
Upper & Lower Bands: Calculated by expanding from the middle line using a configurable multiplier.
This creates a clean, visual box that reflects current consolidation conditions and adapts as price fluctuates within or escapes the zone.
⚪ SL/TP Signal Engine
On detection of a breakout from the range, the indicator generates up to 3 Take Profit levels and one Stop Loss, based on the breakout direction:
All TP/SL levels are calculated using the filtered base range and multipliers.
Cooldown logic ensures signals are not spammed bar-to-bar.
Entries are visualized with colored lines and labeled levels.
This feature is ideal for traders who want automated risk and reward reference points for range breakout plays.
█ How to Use
⚪ Breakout Traders
Use the SL/TP signals when the price breaks above or below the range bands, especially after extended sideways movement. You can customize how far TP1, TP2, and TP3 sit from the entry using your own risk/reward profile.
⚪ Mean Reversion Traders
Use the bands to locate high-probability reversion zones. These serve as reference zones for scalping or fade entries within stable consolidation phases.
█ Settings
Range Detection Method – Choose between ADX or Volatility compression to define range criteria.
Range Period – Determines how many bars are used to compute trend/volatility.
Range Multiplier – Scales the width of the consolidation zone.
SL/TP System – Optional levels that project TP1/TP2/TP3 and SL from the base price using multipliers.
Cooldown – Prevents repeated SL/TP signals from triggering too frequently.
ADX Threshold & Smoothing – Adjusts sensitivity of trend strength detection.
StdDev / Variance / ATR Multipliers – Fine-tune compression detection logic.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
MÈGAS ALGO : MÈGAS Signals [INDICATOR]Overview
The MÈGAS Signals is a cutting-edge, multi-functional trading tool designed for advanced traders seeking to identify high-probability trade setups. This script combines price action analysis, machine learning techniques, and real-time signal generation across multiple timeframes to provide actionable insights. The indicator is optimized for both bullish and bearish market conditions and includes features like backtesting metrics, take-profit tools, and customizable alerts.
Key Features
1. Machine Learning and Statistical Clustering
The script implements the K-Means clustering algorithm , a widely used unsupervised machine learning technique, to segment historical price movements into distinct clusters based on magnitude and distribution characteristics. These clusters represent quantized levels of bullish and bearish momentum, enabling the system to adaptively model market behavior across varying volatility regimes.
By applying this statistical clustering approach to real-time price data, the algorithm dynamically identifies meaningful thresholds for key Smart Money Concepts (SMC) such as Break of Structure (BOS) and Change of Character (CHOCH) . This integration enhances classical SMC logic with a data-driven, self-adjusting mechanism that responds to evolving market conditions, effectively bridging traditional price action analysis with modern machine learning methodologies.
2.Multi-Timeframe Table:
A dynamic, real-time multi-timeframe table displayed on the chart that provides at-a-glance insight into:
-Current trend or signal status per timeframe
-Percentage price change relative to the previous bar
-Countdown to the next bar open , updated every second
This table empowers traders with cross-timeframe context , helping them identify confluence, reversals, or divergences across multiple horizons — from scalping (1m) to long-term trends (1D).
3.Dynamic Trailing Stops with Enhanced Visualization
The dynamic trailing stop mechanism adjusts based on volatility clusters, ensuring tighter risk
management during low-volatility periods and wider stops during high-volatility phases.
The feed speed feature enhances visualization by adjusting the transparency of candle
coloring relative to the trailing stop. This makes it easier to interpret trend strength and
momentum, allowing traders to stay ahead of price action.
4.Customizable Alerts for Seamless Execution
Sublimia Signals offers highly customizable alerts that can be tailored to specific timeframes
and trading preferences.
With the intra-bar calculation feature, alerts can be triggered on every tick rather than just
on bar close, empowering traders to act swiftly in fast-moving markets.
Personalized alert messages allow you to create clear and concise notifications for entry and
exit points, streamlining your trading workflow.
5.Comprehensive Backtesting Metrics
The built-in performance metrics table provides detailed backtesting results, including total
trades, win rates, cumulative profit/loss, profit factor, best profit, and worst loss for both
long and short positions.
These metrics enable traders to evaluate the effectiveness of their strategies and optimize
input parameters for better performance.
6.Non-Standard Candle Integration for Smoother Price Action Analysis
The optional Non-Standard Candle toggle allows users to switch between "Traditional", "Heikin-Ashi", "Volume-Weighted" and "Hybrid" candles.
This feature is particularly useful for identifying trends and filtering out market noise, while
backtesting remains based on normal candles to ensure accuracy.
7.Intra-Bar Calculation for Granular Insights
When enabled, the intra-bar calculation feature provides granular insights into price
movements within each bar, offering traders a deeper understanding of market dynamics.
This feature also modifies the algorithm's logic, triggering alerts on every tick rather than just
on bar close, making it ideal for scalpers and day traders who need ultra-responsive tools.
8.Take-Profit/Trailing-Profit Tools: Precision and Flexibility
This feature allows you to set multiple profit levels with customizable percentage
distances, giving you unparalleled control over your trades.
Selectable Type of exit mode : Take-Profit or Trailing-Profit.
Selectable Number of Profit Levels: Define as many profit targets as you need,
ensuring you can capture profits at different stages of price movement.
Percentage-Based Distance: Set each profit level based on a percentage distance from
your entry point. This ensures precise positioning tailored to your risk-reward preferences.
Integrated Alerts: Never miss an opportunity! The tool includes built-in alerts that notify you
when each take-profit level is reached, keeping you informed in real-time.
9.Optimized Visualization
The script ensures optimized visualization of trend strength through smooth transitions in
candle transparency, making it easier to interpret market momentum.
The feed speed parameter calculates how quickly the candle coloring adjusts relative to the
trailing stop, enhancing clarity and decision-making.
How it work
Identify the Primary Trend Using Multi-Timeframe Analysis :
Focus on Higher Timeframes : Start by analyzing the 4h, 8h, or 24h timeframes to determine the primary trend. These higher timeframes provide a clearer picture of long-term momentum.
The built-in table provides real-time updates across all primarly timeframes. Look for confluence—when multiple timeframes align in the same direction.
Confirm Entry Points Using Lower Timeframes :
Fine-Tune Entries with Shorter Timeframes : Once you’ve identified the primary trend, use lower timeframes (e.g., 1m, 5m, or 15m ) to confirm entry points.
Set Take-Profit Levels Based on Percentage Distances :
Customizable Take-Profit Tools : Use the take-profit feature to set multiple levels based on percentage distances from your entry point.
Use Customizable Alerts for Real-Time Updates :
Enable alerts for specific timeframes (e.g., 4h, 8h, 15m) to stay informed about changes in the primary trend or short-term opportunities.
For fast-moving markets, enable the intra-bar calculation feature to receive alerts on every tick, ensuring you don’t miss critical entries or exits.
Backtesting for Strategy Optimization :
Performance Metrics : Use the backtesting metrics table to evaluate how well your trend-following strategy performs over time. Analyze win rates, profit factor, and best/worst trades to refine your approach.
Adjust Inputs : Fine-tune settings like slippage and commission(%) to optimize the indicator for your prefer pair.
Please Note:
This indicator is provided for informational and educational purposes only. It is not financial advice, and it should not be considered a recommendation to buy, sell, or trade any financial instrument. Trading involves significant risks, including the potential loss of your entire investment. Always conduct your own research and consult with a licensed financial advisor before making any trading decisions.
The results and images provided are based on algorithms and historical/paid real-time market data but do not guarantee future results or accuracy. Use this tool at your own risk, and understand that past performance is not indicative of future outcomes.
ALMA Shifting Band Oscillator | QuantMACALMA Shifting Band Oscillator | QuantMAC
🎯 Advanced Technical Analysis Tool Combining ALMA with Dynamic Oscillator Technology
The ALMA Shifting Band Oscillator represents a sophisticated fusion of the Arnaud Legoux Moving Average (ALMA) with an innovative oscillator-based signaling system. This indicator transforms traditional moving average analysis into a comprehensive trading solution with dynamic band visualization and precise entry/exit signals.
Core Technology 🔧
Arnaud Legoux Moving Average Foundation
Built upon the mathematically superior ALMA calculation, this indicator leverages the unique properties of ALMA's phase shift and noise reduction capabilities. The ALMA component provides a responsive yet smooth baseline that adapts to market conditions with minimal lag.
Dynamic Band System
The indicator generates adaptive upper and lower bands around the ALMA centerline using statistical deviation analysis. These bands automatically adjust to market volatility, creating a dynamic envelope that captures price extremes and potential reversal zones.
Normalized Oscillator Engine
The heart of the system transforms price action relative to the dynamic bands into a normalized oscillator that oscillates around a zero line. This oscillator provides clear visual representation of momentum and position within the established bands.
Visual Features 🎨
Multi-Pane Display Architecture
Primary oscillator plotted in separate pane for clarity
Dynamic band overlay on price chart with elegant fill visualization
ALMA centerline marked with distinctive styling
Customizable threshold lines for signal identification
Advanced Color Schemes
Choose from 9 professionally designed color palettes:
Classic series offering various aesthetic preferences
High contrast options for different chart backgrounds
State-based coloring that changes with market conditions
Candle coloring that reflects current oscillator state
Enhanced Visual Elements
Smooth gradient band fills for easy trend identification
Dynamic line thickness and styling options
Professional transparency settings for overlay clarity
Customizable threshold visualization
Signal Generation System 📊
Dual Threshold Architecture
The indicator employs two distinct threshold levels that create a sophisticated signal framework:
Long Threshold : Triggers bullish signal generation
Short Threshold : Activates bearish signal conditions
Intelligent State Management
Advanced state tracking ensures clean signal generation without false triggers:
Prevents redundant signals in same direction
Maintains position awareness for proper entries/exits
Implements crossover logic for precise timing
Flexible Trading Modes
Long/Short Mode : Full bidirectional trading capabilities
Long/Cash Mode : Conservative approach with cash positions during bearish conditions
Professional Analytics Suite 📈
Comprehensive Performance Metrics
Integrated real-time performance analysis including:
Maximum Drawdown percentage tracking
Sortino Ratio for downside risk assessment
Sharpe Ratio for risk-adjusted returns
Omega Ratio for comprehensive performance evaluation
Profit Factor calculation
Win rate percentage analysis
Half Kelly percentage for position sizing guidance
Total trade count and net profit tracking
Advanced Risk Management
Real-time equity curve tracking
Peak-to-trough drawdown monitoring
Downside deviation calculations
Risk-adjusted return measurements
Customization Options ⚙️
ALMA Parameter Control
ALMA Length (Default: 42) - Controls the lookback period for the moving average calculation. Lower values (20-30) create faster, more responsive signals but increase noise. Higher values (50-100) produce smoother signals with less false alerts but slower reaction to price changes.
ALMA Offset (Default: 0.68) - Determines the phase shift of the moving average. Values closer to 0 behave like a simple moving average. Values closer to 1 act more like an exponential moving average. 0.68 provides optimal balance between responsiveness and smoothness.
ALMA Sigma (Default: 1.8) - Controls the smoothness factor of the ALMA calculation. Lower values (1.0-2.0) create sharper, more reactive averages. Higher values (4.0-8.0) produce extremely smooth but slower-responding averages. Affects how quickly the ALMA adapts to price changes.
Source Selection - Choose between Close, Open, High, Low, or custom price combinations. Close price is standard for most analysis. HL2 or HLC3 can provide different market perspectives and reduce single-price volatility.
Oscillator Fine-tuning
Standard Deviation Length (Default: 27) - Determines the lookback period for volatility calculation. Shorter periods (10-20) make bands more reactive to recent volatility changes. Longer periods (40-60) create more stable bands that filter out short-term volatility spikes.
SD Multiplier (Default: 2.8) - Controls the width of the dynamic bands. Lower values (1.5-2.0) create tighter bands with more frequent signals but higher false signal rate. Higher values (3.0-4.0) produce wider bands with fewer but potentially more reliable signals.
Oscillator Multiplier (Default: 100) - Scales the oscillator for visual clarity. This is purely cosmetic and doesn't affect signal generation. Adjust based on your preferred oscillator range visualization.
Long Threshold (Default: 82) - Sets the level where bullish signals trigger. Lower values (70-80) generate more frequent long signals but may include weaker setups. Higher values (85-95) create fewer but potentially stronger bullish signals.
Short Threshold (Default: 50) - Determines where bearish signals activate. Higher values (55-65) produce more short signals. Lower values (35-45) wait for stronger bearish conditions before signaling.
Trading Mode Configuration
Long/Short Mode - Full bidirectional trading that takes both long and short positions. Suitable for trending markets and experienced traders comfortable with short selling.
Long/Cash Mode - Conservative approach that only takes long positions or moves to cash during bearish signals. Ideal for bull market conditions or traders who prefer not to short.
Display Customization
Color Schemes (9 Options) - Choose from Classic to Classic9 palettes. Each offers different visual contrast for various chart backgrounds and personal preferences.
Metrics Table Position - Place performance metrics in any of 6 chart locations: Top Left/Right, Middle Left/Right, Bottom Left/Right.
Show/Hide Metrics Table - Toggle the comprehensive performance analytics display on or off based on your analysis needs.
Date Range Limiter - Set specific start dates for backtesting and signal generation. Useful for testing strategies on specific market periods or excluding unusual market events.
Parameter Optimization Tips
Volatile Markets - Use shorter ALMA Length (25-35), lower SD Multiplier (2.0-2.5), and moderate thresholds
Trending Markets - Employ longer ALMA Length (45-60), higher SD Multiplier (3.0-4.0), and extreme thresholds
Sideways Markets - Try medium ALMA Length (35-45), standard SD Multiplier (2.5-3.0), and closer thresholds (75/55)
Higher Timeframes - Generally use longer periods and higher multipliers for smoother signals
Lower Timeframes - Opt for shorter periods and lower multipliers for more responsive signals
Practical Applications 💡
Trend Following
Identify and follow established trends using the dynamic band system and oscillator position relative to thresholds.
Momentum Analysis
Gauge market momentum through oscillator readings and their relationship to historical levels.
Reversal Detection
Spot potential reversal points when price reaches extreme oscillator levels combined with band interactions.
Risk Management
Utilize integrated metrics for position sizing and risk assessment decisions.
Technical Specifications 🔍
Calculation Methodology
The indicator employs sophisticated mathematical formulations for ALMA calculation combined with statistical analysis for band generation. The oscillator normalization process ensures consistent readings across different market conditions and timeframes.
Performance Optimization
Designed for efficient processing with minimal computational overhead while maintaining calculation accuracy across all timeframes.
Multi-Timeframe Compatibility
Functions effectively across all trading timeframes from intraday scalping to long-term position trading.
Installation and Usage 📋
Simple Setup Process
Add indicator to chart
Configure ALMA parameters for your preferred responsiveness
Adjust threshold levels based on market volatility
Select desired color scheme and display options
Enable metrics table for performance tracking
Best Practices
Use multiple timeframe analysis for context
Monitor metrics table for strategy performance
Adjust parameters based on market conditions
This indicator represents a professional-grade tool designed for serious traders seeking advanced technical analysis capabilities with comprehensive performance tracking. The combination of ALMA's mathematical precision with dynamic oscillator technology creates a unique analytical framework suitable for various trading styles and market conditions.
🚀 Transform your technical analysis with this advanced ALMA-based oscillator system!
⚠️ IMPORTANT DISCLAIMER
Past Performance Warning: 📉⚠️
PAST PERFORMANCE IS NOT INDICATIVE OF FUTURE RESULTS. Historical backtesting results, while useful for strategy development and parameter optimization, do not guarantee similar performance in live trading conditions. Market conditions change continuously, and what worked in the past may not work in the future.
Remember: Successful trading requires discipline, continuous learning, and adaptation to changing market conditions. No indicator or strategy guarantees profits, and all trading involves substantial risk of loss.
Brian Shannon 5-Day MA BackgroundBrian Shannon 5-Day Moving Average with Dynamic Background Fill
OVERVIEW
This indicator implements Brian Shannon's renowned 5-Day Moving Average methodology from his acclaimed work "Technical Analysis Using Multiple Timeframes." The indicator provides instant visual clarity on short-term trend direction and momentum, making it an essential tool for swing traders and active investors.
KEY FEATURES
• True 5-Day Moving Average: Dynamically calculates the correct period across all timeframes (1min, 5min, 15min, 1H, etc.)
• Visual Price-to-MA Relationship: Color-coded fill between price and the moving average
- Green Fill: Price is above the 5-day MA (bullish short-term momentum)
- Red Fill: Price is below the 5-day MA (bearish short-term momentum)
• Multi-Timeframe Compatible: Works seamlessly on any chart timeframe while maintaining the true 5-day calculation
BRIAN SHANNON'S STRATEGIC APPLICATION
Primary Uses:
1. Trend Identification: Quickly identify short-term momentum shifts
2. Dynamic Support/Resistance: The 5-day MA acts as a moving support level in uptrends and resistance in downtrends
3. Entry Signal Confirmation: Look for pullbacks to the 5-day MA as potential entry points in trending stocks
4. Multi-Timeframe Analysis: Essential component of Shannon's multiple timeframe approach
Perfect Combination with:
• AVWAP (Anchored Volume Weighted Average Price): Use together to identify high-probability setups where price is above both the 5-day MA and AVWAP
• Longer-term Moving Averages: Combine with 20-day and 50-day MAs for complete trend analysis
• Volume Analysis: Confirm 5-day MA signals with volume patterns
TRADING APPLICATIONS
For Swing Traders:
• Bullish Setup: Price above 5-day MA + above AVWAP + above longer-term MAs = Strong uptrend
• Bearish Setup: Price below 5-day MA + below AVWAP + below longer-term MAs = Strong downtrend
• Entry Timing: Use pullbacks to the 5-day MA as entry opportunities in the direction of the primary trend
For Day Traders:
• Quick visual confirmation of intraday momentum
• Dynamic support/resistance levels for scalping opportunities
• Clear trend bias for directional trades
WHY THIS INDICATOR WORKS
Brian Shannon's approach emphasizes that the 5-day moving average represents the short-term sentiment of market participants. When price is consistently above this level, it indicates buyers are in control of short-term price action. Conversely, when price falls below, it suggests selling pressure is dominating.
The visual fill makes it immediately obvious:
• How far price is from the 5-day MA
• The strength of the current short-term trend
• Potential areas where price might find support or resistance
BEST PRACTICES
1. Never use in isolation - Always combine with longer timeframe analysis
2. Volume confirmation - Look for volume expansion on moves away from the 5-day MA
3. Multiple timeframe approach - Check higher timeframes for overall trend direction
4. Combine with AVWAP - Most powerful when both indicators align
INSTALLATION NOTES
This indicator automatically adjusts for any timeframe, ensuring you always get a true 5-trading-day moving average regardless of whether you're viewing 1-minute or hourly charts.
Based on the technical analysis methodology of Brian Shannon, author of "Technical Analysis Using Multiple Timeframes"
Volume pressure by GSK-VIZAG-AP-INDIA🔍 Volume Pressure by GSK-VIZAG-AP-INDIA
🧠 Overview
“Volume Pressure” is a multi-timeframe, real-time table-based volume analysis tool designed to give traders a clear and immediate view of buying and selling pressure across custom-selected timeframes. By breaking down buy volume, sell volume, total volume, and their percentages, this indicator helps traders identify demand/supply imbalances and volume momentum in the market.
🎯 Purpose / Trading Use Case
This indicator is ideal for intraday and short-term traders who want to:
Spot aggressive buying or selling activity
Track volume dynamics across multiple timeframes *1 min time frame will give best results*
Use volume pressure as a confirming tool alongside price action or trend-based systems
It helps determine when large buying/selling activity is occurring and whether such behavior is consistent across timeframes—a strong signal of institutional interest or volume-driven trend shifts.
🧩 Key Features & Logic
Real-Time Table Display: A clean, dynamic table showing:
Buy Volume
Sell Volume
Total Volume
Buy % of total volume
Sell % of total volume
Multi-Time frame Analysis: Supports 8 user-selectable custom time frames from 1 to 240 minutes, giving flexibility to analyze volume pressure at various granularities.
Color-Coded Volume Bias:
Green for dominant Buy pressure
Red for dominant Sell pressure
Yellow for Neutral
Intensity-based blinking for extreme values (over 70%)
Dynamic Data Calculation:
Uses volume * (close > open) logic to estimate buy vs sell volumes bar-by-bar, then aggregates by timeframe.
⚙️ User Inputs & Settings
Timeframe Selectors (TF1 to TF8): Choose any 8 timeframes you want to monitor volume pressure across.
Text & Color Settings:
Customize text colors for Buy, Sell, Total volumes
Choose Buy/Sell bias colors
Enable/disable blinking for visual emphasis on extremes
Table Appearance:
Set header color, metric background, and text size
Table positioning: top-right, bottom-right, etc.
Blinking Highlight Toggle: Enable this to visually highlight when Buy/Sell % exceeds 70%—a sign of strong pressure.
📊 Visual Elements Explained
The table has 6 rows and 10 columns:
Row 0: Headers for Today and TF1 to TF8
Rows 1–3: Absolute values (Buy Vol, Sell Vol, Total Vol)
Rows 4–5: Relative percentages (Buy %, Sell %), with dynamic background color
First column shows the metric names (e.g., “Buy Vol”)
Cells blink using alternate background colors if volume pressure crosses thresholds
💡 How to Use It Effectively
Use Buy/Sell % rows to confirm potential breakout trades or identify volume exhaustion zones
Look for multi-timeframe confluence: If 5 or more TFs show >70% Buy pressure, buyers are in control
Combine with price action (e.g., breakouts, reversals) to increase conviction
Suitable for equities, indices, futures, crypto, especially on lower timeframes (1m to 15m)
🏆 What Makes It Unique
Table-based MTF Volume Pressure Display: Most indicators only show volume as bars or histograms; this script summarizes and color-codes volume bias across timeframes in a tabular format.
Customization-friendly: Full control over colors, themes, and timeframes
Blinking Alerts: Rare visual feature to capture user attention during extreme pressure
Designed with performance and readability in mind—even for fast-paced scalping environments.
🚨 Alerts / Extras
While this script doesn’t include TradingView alert functions directly, the visual blinking serves as a strong real-time alert mechanism.
Future versions may include built-in alert conditions for buy/sell bias thresholds.
🔬 Technical Concepts Used
Volume Dissection using close > open logic (to estimate buyer vs seller pressure)
Simple aggregation of volume over custom timeframes
Table plotting using Pine Script table.new, table.cell
Dynamic color logic for bias identification
Custom blinking logic using na(bar_index % 2 == 0 ? colorA : colorB)
⚠️ Disclaimer
This indicator is a tool for analysis, not financial advice. Always backtest and validate strategies before using any indicator for live trading. Past performance is not indicative of future results. Use at your own risk and apply proper risk management.
✍️ Author & Signature
Indicator Name: Volume Pressure
Author: GSK-VIZAG-AP-INDIA
TradingView Username: prowelltraders
Volume Oscillator Pro – Spike Visualizer{NJ}📊 **Volume Oscillator Pro – Spike Visualizer (NJ)**
An enhanced volume oscillator for scalpers, day traders, and momentum traders.
This indicator visually highlights significant volume surges to help identify real market strength.
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🔍 **Features:**
– Dynamic color changes based on volume pressure
– Warning zone starts at 70% (orange), confirmed spike at 100% (red)
– Horizontal spike line at 100% for clear reference
– Optional background color for extreme volume breakouts
---
⚙️ **Recommended Use:**
– Use on **1–5 minute charts** for scalping and fast momentum entries
– Combine with **price structure or candle pattern setups**
– Spikes above 100% often indicate large player entries or exits
– Helps you distinguish real movement from market noise
---
🧪 **Suggested Settings:**
– Short Length: `5`
– Long Length: `10`
– Spike Threshold: fixed at 100% (can be adjusted)
---
Created by **Nasir Jebri**
Candle Range Trading (CRT) with Alerts
📌 Description:
The Candle Range Trading (CRT) indicator identifies potential reversal or continuation setups based on specific two-candle price action patterns.
It analyzes pairs of candles to detect Bullish or Bearish CRT patterns and provides visual signals (triangles) and alert notifications to support scalp or swing trading strategies.
🔍 How It Works:
🔻 Bearish CRT Pattern:
Candle 1 is bullish
Candle 2 is bearish
Candle 2's high > Candle 1's high
Candle 2 closes within Candle 1’s range
🔺 Red triangle above candle
🔺 Bullish CRT Pattern:
Candle 1 is bearish
Candle 2 is bullish
Candle 2's low < Candle 1's low
Candle 2 closes within Candle 1’s range
🔻 Green triangle below candle
📈 Visual Features:
🔺 Red triangle = Bearish CRT
🔻 Green triangle = Bullish CRT
📏 Optional box showing CRT High and CRT Low
🔔 Built-in Alerts:
Bullish CRT Alert: "Bullish CRT Pattern Detected"
Bearish CRT Alert: "Bearish CRT Pattern Detected"
Set alerts to get notified instantly when a pattern is detected.
⚠️ Note:
Use in conjunction with trend filters, support/resistance, or volume for best results.
Ideal for scalping or short-term trades.
Avoid trading in choppy or low-volume markets.
⚠️ Disclaimer:
This script was generated with the assistance of ChatGPT by OpenAI and is intended for educational and informational purposes only.
All strategies, alerts, and signals derived from this indicator should be thoroughly backtested and validated before using in live trading.
Trading involves substantial risk, and past performance is not indicative of future results. The author and ChatGPT bear no responsibility for any trading losses or financial decisions made using this script.
Users are solely responsible for the risks associated with their trading actions. Always apply proper risk management and perform your own due diligence before making any financial decisions.
[RenkoCore] PublicWhen it comes the Renko chart, we all know it has its advantages & disadvantages compared to the candle-stick chart. My aim of this was to alleviate some of the disadvantages by providing some sort of structure on Renko chart. These set of tools may hopefully help your trading journey on Renko chart.
Helpful tips:
a) Enable wicks on your Renko settings, this indicator needs wicks to work.
b) Choose correct size (I recommend traditional size option) for your Renko chart as well as for your instrument.
c) Keep it on 1-second time frame, anything other than that doesn't work on TradingView's Renko. This is important as price will not repaint.
d) If you want to see bigger picture (like 4hr/daily on candle-stick chart), just increase your Renko size, but still keep it on 1-second timeframe.
This toolset includes couple different methods to provide some structures as explained below:
1. 📌 Balance | Price Action Equilibrium Zones
Overview
The Balance is a visual framework designed to evaluate directional bias and internal structure in price action. It measures net bullish/bearish momentum within a configurable rolling window, while highlighting key structural turning points based on multiple custom sensitivity levels. This tool helps traders stay in sync with market rhythm by emphasizing balance, imbalance, and inflection zones.
🔧 How It Works:
Inflection Tiers
Three customizable rounds of pivot-based divergence detection—labeled as 1°, 2°, and 3°—automatically identify regular bullish and regular bearish pivot structures. Though may not be always accurate, these structural signals are intended to keep user's focus to continually reflect emerging internal market shifts.
Balance Limit
Monitors directional bar disparity within a customizable retrospective span. When the net balance exceeds ±50% of the range, the line turns green to suggest strong directional bias. A red fill zone between these thresholds indicates equilibrium or no-trade conditions.
Volatility Based Reversal (Candle Reversal Detector)
This tool scans for extreme price movements relative to local volatility baselines, helping traders detect possible tops and bottoms before major price reversals or pauses. Compares current price action to the lowest recent volatility anchor or if price sharply dips below the highest recent volatility anchor.
🧠 Use Case Recommendations:
Discretionary trading to visually confirm balance and momentum shifts.
Confluence strategies, combining the balance counter with trend indicators or support/resistance levels.
Structure mapping, to highlight exhaustion zones or emerging reversals based on internal divergences.
Avoid using this tool in isolation. It is most effective when combined with broader market context or other confirmation layers.
2. 📌 Primary Level Detection
Overview
This is a precision tool for detecting dynamic price zones where significant market reversals may begin. Using a blend of momentum, price tension, and volatility structure, it identifies potential top and bottom areas — and tracks them with adaptive channel levels that evolve in real time.
🔧 How It Works:
Combines price action, RSI-based bias, and volatility deviation to identify moments when price is overextended.
Reacts only to major changes — reducing false positives in choppy markets.
Levels persist on the chart until a new valid reversal is confirmed, giving you visual structure and actionable areas to work with.
🧠 Use Case Recommendations:
Trading reversals, reversion-to-mean, or liquidity sweeps
Confirming entries from other indicators (like divergence, order blocks, or support/resistance)
Analyzing volatile markets where rapid direction changes are common (e.g., crypto, futures, scalping)
3. 📌 Secondary Level Detection
Overview
This tool highlights where price may be overextended and due for a short-term reversal, based on recent price structure.
🔧 How It Works:
It uses dynamic bar-count and swing conditions to identify potential price turning points after extended directional moves or strong sequence of bars in same direction.
Levels persist on the chart until a new valid reversal is confirmed, giving you visual structure and actionable areas to work with.
🧠 Use Case Recommendations:
Trading reversals, reversion-to-mean, or liquidity sweeps
Confirming entries from other indicators (like divergence, order blocks, or support/resistance)
⚠️ Important Notes:
This indicator does not repaint. All pivots and plots are based on closed candles and verified conditions.
This tool does not provide trade signals. It is a structural analysis tool intended to assist in discretionary decision-making. This indicator is for informational and educational purposes only. Use in combination with your own trading strategy, risk management, and market context. The signals generated do not guarantee outcomes and should not be used in isolation.
It is not intended to be financial advice or a recommendation to buy or sell any security or asset. Trading involves risk. Always do your own research and consult with a licensed financial advisor before making any trading decisions. Past performance is not indicative of future results.
The author is not responsible for any losses incurred from the use of this script.
AMD Setup - Full (Long + Short) ICT ModelICTSNIPERKILLS!
Accumulation, Manipulation, Distribution (AMD) Script!
1. Clarifies Structure: Accumulation, Manipulation, Distribution (AMD)
The script visualizes the AMD framework:
Accumulation → Price ranges inside Initial Balance (IB).
Manipulation → Liquidity sweep above IB High or below IB Low.
Distribution → Market Structure Shift (MSS) confirms a directional move.
This gives you a narrative structure for each session, helping you avoid random trades.
🧠 2. Filters Out Noise with MSS Confirmation
It waits for:
A liquidity sweep (manipulation),
Followed by a market structure shift (MSS),
And then confirms an entry only after a candle closes beyond structure.
This structure:
Reduces false signals,
Improves trade timing,
Helps you align with smart money delivery.
🕘 3. Focuses on the Right Time Window (Initial Balance)
You only engage after the 10:30 AM EST close, once the Initial Balance is formed.This aligns with ICT's focus on:
Killzones (like 9:30–11:00),
Avoiding early overtrading,
Letting the market tip its hand first (through sweeps + MSS).
This timing logic supports discipline and consistency.
🟢🔴 4. Marks Entries with Risk/Reward Guidance
It plots:
AMD SHORT / LONG entries after MSS + candle confirmation,
Basic TP and SL visual markers using a static risk-reward (2:1),
Optional Fair Value Gaps (FVGs) for refinement zones.
While static, these help plan trades visually and frame targets quickly, especially if you're scalping or trading micro futures like MNQ.
📈 5. Alerts You in Real Time
Instead of manually watching:
You'll get alerts when sweeps or MSS setups appear.
You can stay focused during the killzone or walk away and return when signals trigger.
This supports patience and alert-based discipline.
💡
You already:
Use 15M/1M execution,
Wait for ERL or HOD/LOD sweeps,
Look for MSS + CISD,
Trade in killzones only,
Target 50–62–70% Fibs with SMT/FVG confluence.
This script:✅ Automates sweep + MSS detection✅ Plots AMD-based entries visually✅ Simplifies your killzone execution✅ Helps avoid FOMO by filtering setups✅ Keeps your journal entries clean with structure
Hull Moving Average RibbonGradient Wave HMA - Multi-Ribbon Hull Moving Average System
Overview
The Gradient Wave HMA is an advanced technical indicator that transforms Alan Hull's Hull Moving Average (HMA) into a dynamic multi-layered ribbon system. Unlike traditional moving average ribbons that use simple or exponential calculations, this indicator applies Hull's innovative lag-reduction formula across 12 different timeframes simultaneously, creating a visually striking gradient effect that flows with market momentum.
Technical Foundation
This indicator is built upon the Hull Moving Average, developed by Alan Hull in 2005. The HMA uses a weighted moving average calculation designed to almost eliminate lag while maintaining curve smoothness:
HMA = WMA(2*WMA(n/2) − WMA(n), sqrt(n))
Credit: Alan Hull (www.alanhull.com)
Key Features
Multi-Period Ribbon Structure
12 individual HMA lines with customizable periods
Preset configurations for different trading styles:
Fast: 3-30 period range (scalping/intraday)
Swing: 8-55 period range (swing trading)
Position: 20-100 period range (position trading)
Custom: User-defined periods
2. Neon Gradient Visualization
Bullish Gradient: Transitions from blue-purple to hot purple
Bearish Gradient: Flows from hot pink to purple-pink
Each line has a unique color in the spectrum
Gradient fills between lines create depth and visual flow
3. Advanced Alert System
Trend Reversal Alerts: Notifies when ribbon changes direction
Price Breakout Alerts: Triggers when price crosses the ribbon
Compression Alerts: Signals potential breakouts during consolidation
Expansion Alerts: Confirms strong trending conditions
Momentum Surge Alerts: Catches explosive moves early
How It Works
The indicator calculates 12 Hull Moving Averages, each with a different period length. The trend direction is determined by the middle HMA (6th line), which triggers the color change across the entire ribbon. When trending up, the ribbon displays a purple gradient; when trending down, it shifts to a pink gradient.
Trading Applications
1. Trend Identification
Ribbon color indicates overall trend direction
All lines moving in sync confirms strong trend
Mixed signals suggest choppy or transitioning markets
2. Dynamic Support/Resistance
In uptrends, the ribbon acts as moving support
In downtrends, it provides resistance levels
Multiple layers offer various strength levels
3. Momentum Analysis
Expanding ribbon = Increasing momentum
Contracting ribbon = Decreasing momentum/consolidation
Ribbon angle indicates trend strength
4. Trading Example
Advantages Over Traditional MAs
Reduced Lag: Hull's formula provides faster response than SMA/EMA ribbons
Visual Clarity: Gradient effect makes trend changes immediately visible
Multiple Timeframes: 12 periods provide comprehensive market view
Flexibility: Presets adapt to different trading styles
Best Practices
Use higher timeframes (4H, Daily) for position trading
Combine with volume indicators for confirmation
Watch for ribbon compression before major moves
Consider overall market conditions when interpreting signals
Customization Options
Adjust individual HMA periods
Fine-tune transparency for different backgrounds
Choose between WMA and EMA base calculations
The Gradient Wave HMA combines Alan Hull's breakthrough moving average formula with modern visualization techniques to create a powerful trend-following tool that's both technically sophisticated and visually intuitive.
Delta Volume Color CoderDelta Volume Color Coder - Smart Money Footprint Visualizer
OVERVIEW
The Delta Volume Color Coder is a clean, minimalist indicator that highlights candles with exceptional delta volume, helping you instantly identify where smart money is actively trading. Unlike complex volume indicators that clutter your chart, this tool simply colors candles when institutional-level volume appears, leaving your normal price action untouched.
WHAT IS DELTA VOLUME?
Delta volume represents the difference between buying and selling pressure within each candle. Positive delta indicates more aggressive buying, while negative delta shows stronger selling. When delta reaches extreme levels, it often signals institutional activity or significant market events.
KEY FEATURES
- Clean Chart Design - Only colors candles with significant delta volume
- No Chart Compression - Overlay indicator that doesn't distort price scales
- Smart Detection - Automatically calculates dynamic thresholds based on recent activity
- Customizable Thresholds - Adjust sensitivity to match your trading style
- Multiple Calculation Methods - Classic or Range-Based delta calculations
COLOR CODING (Default)
- White Candles - Extreme positive delta (massive institutional buying)
- Green Candles - High positive delta (strong buying pressure)
- Red Candles - High negative delta (strong selling pressure)
- Violet Candles - Extreme negative delta (massive institutional selling)
- Normal Candles - Unchanged (standard TradingView red/green)
HOW TO USE
1. Add to any chart - Works on all timeframes and instruments
2. Look for colored candles - These mark significant volume events
3. White/Violet candles often mark reversals or breakouts
4. Multiple colored candles in sequence indicate strong trends
5. Colored candles at support/resistance levels are especially significant
SETTINGS EXPLAINED
- Lookback Period (20) - Bars used to calculate average delta
- High Delta Threshold (1.5x) - Triggers green/red coloring
- Extreme Delta Threshold (2.5x) - Triggers white/violet coloring
- Delta Calculation - Classic (open/close) or Range Based (close position)
- Color Wicks - Option to color entire candle or just the body
- All colors fully customizable
TRADING APPLICATIONS
- Reversal Detection - White/violet candles often mark exhaustion points
- Breakout Confirmation - Colored candles on breakouts show conviction
- Support/Resistance - High delta at key levels indicates significance
- Trend Strength - Frequency of colored candles shows trend momentum
- Institutional Tracking - Extreme delta reveals where big players are active
BEST PRACTICES
- Lower timeframes (1-15m) - Use for scalping and day trading entries
- Higher timeframes (1H+) - Identify major accumulation/distribution
- Combine with price action - Most effective at key technical levels
- Watch for clusters - Multiple extreme candles = major event
- Volume confirmation - Extreme delta + high volume = highest significance
TIPS FOR SUCCESS
1. White candles after downtrends often mark bottoms
2. Violet candles after uptrends often mark tops
3. Consecutive colored candles confirm trend direction
4. Lack of colored candles = low volatility, potential breakout ahead
5. Extreme delta at round numbers indicates institutional interest
WHY THIS INDICATOR?
- Simple Yet Powerful - No complex analysis needed
- Instant Visual Feedback - See institutional activity at a glance
- Clean Charts - No overlays, lines, or clutter
- Real-Time Detection - Updates with each new candle
- Universal Application - Works on stocks, forex, crypto, futures
UNIQUE ADVANTAGES
Unlike traditional volume indicators that require separate panes or compress your chart, the Delta Volume Color Coder seamlessly integrates with your existing setup. It answers one simple question: "Where is the smart money trading RIGHT NOW?"
Perfect for traders who want institutional-level insights without the complexity. Just add to your chart and let the colors guide you to where the real action is happening.
CAFX Liquidity Pro V1CAFX Liquidity Pro Indicator
Precision Engineered for Smart Profit-Taking
The CAFX Liquidity Pro Indicator is a powerful trading tool designed to help traders pinpoint high-probability liquidity zones, making it ideal for setting accurate and strategic take profit levels. By identifying where institutional interest is likely to reside, this indicator highlights the areas where price is most likely to react, reverse, or pause—giving you the edge in locking in profits before the market shifts.
Whether you're scalping, day trading, or swing trading, the CAFX Liquidity Pro provides clear visual cues that simplify your decision-making process and enhance your trade management. With a focus on precision and reliability, it helps you avoid emotional exits and instead base your take profits on real market behavior and liquidity dynamics.
Use CAFX Liquidity Pro to stay one step ahead—because knowing where to exit is just as important as knowing when to enter.
Sri_Momentum Burst Histogram📝 Description :
🌀 Sri_Momentum Burst Histogram — A Custom Momentum and Volatility Fusion Tool
The Sri_Momentum Burst Histogram is a unique technical analysis tool designed to visualize sudden changes in price momentum in the form of a dynamic, color-coded histogram. This indicator helps traders identify trend accelerations, early momentum shifts, and potential exhaustion in real time.
By combining a MACD-like momentum engine with a volatility-sensitive Bollinger Band range, this script offers an enhanced view of market bursts — moments where momentum "pops" beyond typical ranges. The result is a refined perspective on market sentiment, helping traders to anticipate reversals, follow breakouts, and assess the relative strength of ongoing trends.
🧠 Core Methodology
The indicator calculates the difference between a fast and slow EMA (Exponential Moving Average), similar to a MACD histogram.
This difference is then compared across candles to gauge the rate of change in momentum — referred to here as a “momentum burst.”
A sensitivity multiplier allows you to scale the response based on your preferred timeframe and trading style.
A volatility band, derived from Bollinger Band logic, is used to frame the relative intensity of the momentum change.
The histogram is divided into two parts:
Green/Lime Bars represent increasing and decreasing bullish momentum.
Red/Orange Bars represent increasing and decreasing bearish momentum.
⚙️ Customizable Inputs
Momentum Sensitivity: Adjust the responsiveness of the burst detection mechanism.
Short EMA Period: Sets the lookback period for the fast EMA.
Long EMA Period: Sets the lookback period for the slow EMA.
Volatility Band Length: Controls the length used for Bollinger Band calculations.
Band Std Dev Multiplier: Adjusts how wide the volatility range should be, based on price dispersion.
📈 How to Use It
Use the green/red histogram bars to visually gauge momentum strength and direction.
Watch for transitions in color intensity (e.g., green to lime, red to orange) as early warning signs of trend exhaustion or reversal.
Combine with other indicators like RSI, MACD, ADX, or volume profiles to confirm entry/exit points.
Useful in both trending and ranging markets, especially on lower timeframes for scalping or intraday setups.
✅ Key Features
Easy-to-read histogram with intuitive color coding.
Fully customizable settings for fine-tuned signal control.
Can be used on any asset class — stocks, forex, crypto, commodities.
Optimized for real-time use with minimal lag.
🔐 This script is an original creation, developed independently by adapting publicly known mathematical concepts into a unique visualization tool. All function and variable names have been customized for originality and compliance with TradingView’s publishing and community standards.
💡 Developed by: @venkat_27
🧩 For educational purposes only — not financial advice.
