Higher Timeframe Market StructureHTF Market Structure – ZigZag, Break of Structure & Supply/Demand
This powerful indicator is designed to identify higher-timeframe market structure using a combination of ZigZag patterns, Break of Structure (BOS) signals, and Supply/Demand zones.
Key Features:
Automatic detection of Higher Highs (HH), Higher Lows (HL), Lower Lows (LL), and Lower Highs (LH)
Internal structure shifts based on Open or High/Low logic
Supply and Demand zones plotted on the chart
Break of Structure (BOS) lines with optional alerts
Mitigation logic to mark or delete invalidated order blocks
Customizable aggregation factor to view higher time frame structure on lower time frames
How to Use:
Focus on market structure and BOS to understand the current trend.
Watch for internal shifts as early signals of potential reversals.
Use ZigZag lines to connect swing highs and lows to visualize market rhythm.
Supply zones (red) and Demand zones (green) are automatically drawn after structure breaks:
Use Demand Zones in Bullish Markets for the highest probability entries.
Use Supply Zones in Bearish Markets to align with the prevailing trend.
Best Practices:
Only use Demand Zones in Bullish markets and Supply Zones in Bearish markets for optimal results.
Look for price action or reversal signals within these zones to refine your entries.
Enable alerts to get notified on:
New order blocks
Internal shifts
BOS events
HH, HL, LL, LH formations
Liquidity sweeps
Customization Options:
Aggregation Factor: Control how many candles are grouped for structure analysis.
Zone Duration: Define how length of plotted zones.
Mitigation Settings: Automatically delete or fade zones after mitigation.
Colors: Choose custom colors for bullish and bearish zones and structure markers.
This tool is ideal for traders who rely on price action, structure, and smart money concepts. Combine it with your own S&D strategy or integrate it with other confluence tools for even better precision.
Multitimeframe
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.
Liquidity mark-out indicator(by Lumiere)This indicator marks out every High that has a bullish candle followed by a bearish one, vice versa for lows.
Once the price reaches the marked-out liquidity, the line is removed automatically.
This indicator only shows the current liquidity of the time frame you are at.
(To get it look like the picture just chance the length to 30-50)
Key Features of the Liquidity Mark-Out Indicator:
🔹 Identifies Liquidity Zones – Marks highs and lows based on candlestick patterns.
🔹 Customizable Settings – Toggle highs/lows visibility 🎚️, adjust line colors 🎨, and set line length (bars) 📏.
🔹 Smart Clean-Up – Automatically removes swept levels (when price breaks through) for a clean chart 🧹.
🔹 Pattern-Based Detection –
Highs: Detects two-candle reversal patterns (🟢 bullish close → 🔴 bearish close).
Lows: Detects two-candle reversal patterns (🔴 bearish close → 🟢 bullish close).
🔹 Dynamic Lines – Projects liquidity levels forward (adjustable length) to track key zones 📈.
Perfect For Traders Looking To:
✅ Spot potential liquidity grabs 🎯
✅ Identify key support/resistance levels 🛑
✅ Clean up their chart from outdated levels 🖥️
3x MTF EMA + VWAP + Daily CPR3x MTF EMA + VWAP + Daily CPR
A Complete Trend & Structure Toolkit for Informed Decisions
This all-in-one indicator blends the power of multi-timeframe analysis, volume-weighted price action, and daily structure zones to give you high-confidence entries and real-time market context.
📌 Key Features:
✅ 3x Multi-Timeframe EMAs
Plot up to three EMAs from any timeframe (e.g., 15m, 1H, Daily) on your current chart. Each EMA comes with:
Custom length
Custom source (close, hl2, etc.)
Independent timeframe
Color and visibility toggles
Use them for dynamic support/resistance, trend direction, and confluence zones.
✅ VWAP (Volume-Weighted Average Price)
Industry-standard intraday VWAP to track the true average traded price. Essential for:
Volume-weighted mean reversion
Institutional support/resistance
Intraday directional bias
Auto-hides on higher timeframes for precision.
✅ Daily CPR (Central Pivot Range)
Maps out key market structure levels for the day:
Central Pivot (P)
Top Central (TC)
Bottom Central (BC)
Widely used by pros for reversal zones, trend continuation, and opening range setups.
🎯 Why Use This Script?
Whether you're scalping intraday or swinging higher timeframes, this indicator gives you:
Instant clarity on market structure
High-probability trend confluence
Reliable institutional price zones
Perfect for SMC, ICT, VWAP traders, or anyone seeking an edge with precision levels.
⚙️ Fully Customizable
Toggle visibility for each layer (EMA, VWAP, CPR)
Adjust EMA sources, lengths, timeframes
Lightweight & optimized for performance [/
Multi time frame combination signal1. Concept and originality
This indicator was developed with the aim of displaying signals of multiple time frames and moving averages of the fixed time frame different from the current chart. When buying and selling, if you use basic signals such as MACD, RSI, TSI, etc. on a certain time frame, you may miss shorter or longer-term trends. In addition, if a long-term upswing sign occurs and you want to search for a short-term pullback, you may want to use multiple signals of different time frames in combination. Therefore, I aimed to display signals of shorter and longer time frames simultaneously on one chart in addition to the current time frame. Furthermore, I considered a comosite signal that combines each basic signal and moving average line, and combines arbitrary signals of multiple arbitrary time frames in a single indicator.
2. Function
This indicator provides a composite signal that combines multiple basic indicators (MACD, RSI, TSI) and moving average lines on three arbitrary time frames. Other auxiliary functions include Bollinger bands, Ichimoku cloud, Fair Value Gap (FVG), and Order Block (OB). The three time frames can be set independently for each signal.
2.1 Combination signal
When you check "Show combination signal", the signals that combine each checked basic indicator with "and" will be displayed. If you want to combine each basic indicator with "or", uncheck "Combination signal" and check all the indicators you want to use. Each indicator can also be combined with a moving average. The indicators that can be combined with "Combination signal" are MACD, RSI, TSI and moving average. Bollinger bands, Ichimoku Kinko Hyo, Fair Value Gap (FVG) and Order Block (OB) are displayed alone and cannot be incorporated into "Combination signal".
When you check "Show short/middle/long term signal", the checked signals will be displayed on the chart with ▲ or ▼. ▲ indicates crossover and ▼ indicates crossunder. Short is displayed small and long is displayed large. The short/middle/long time frames can be set separately. It is not necessary that the short is shorter than the middle or long.
2.2 MACD signal
Check "Show MACD signal" to display the MACD (Moving Average Convergence Divergence) signal. Check "Show short/middle/long term signal" to display the signal of the checked time frame with ▲ or ▼ on the chart. Short is displayed small, and long is displayed large. The short/middle/long time frames can be set separately. Short does not necessarily have to be shorter than middle or long. EMA is usually used for the moving average of MACD, but this indicator allows you to select the type of moving average from SMA, EMA, SMMA (RMA), WMA, and VWMA. You can enter the base period for Long, Short, and Signal. This period is the period for the selected time frame. Check "Use impulse MACD" to suppress signals in range markets. In this case, "Long length", "Short length", and "Signal length" are ignored and the value of "Impulse MACD length" is applied. Please note that some functions do not work properly on charts that do not provide volume.
2.3 RSI signal
Check "Show RSI signal" to display the RSI (Relative Strength Index) signal. Check "Show short/middle/long term signal" to display the signal of the checked time frame on the chart with ▲ or ▼. Short is displayed small, and long is displayed large. Short/middle/long time frames can be set separately. Short does not necessarily have to be shorter than middle and long. You can enter the overbought and oversold thresholds in the range of 0 to 100. You can enter the base period of the signal. Check "Use VRSI" to add volume to the RSI. Check "Use Stochastic RSI" to display the Stochastic RSI signal. In this case, the base period of the RSI signal is ignored. For Stochastic RSI, you can enter the type of moving average, the period for smoothing, and the base period. These values are ignored by the normal RSI and VRSI. Please note that some functions do not work properly on charts for which volume is not provided.
2.4 TSI signal
Checking "Show TSI signal" displays the TSI (True Strength Index) signal. Checking "Show short/middle/long term signal" displays the signals of the checked time frame as ▲ or ▼ on the chart. Short is displayed small, and long is displayed large. The short/middle/long time frames can be set separately. Short does not necessarily have to be shorter than the middle and long. You can enter the overbought and oversold thresholds in the range of -100 to 100. You can enter the base period for Long, Short, and Signal. You can select the type of moving average from SMA, EMA, SMMA (RMA), WMA, and VWMA. Please note that some functions do not work properly on charts for which volume is not provided.
2.5 Moving average
Check "Show moving average" to display the moving average for the specified time frame. The time frame can be set to match the chart time frame or fixed. The type of moving average can be selected from SMA, EMA, SMMA (RMA), WMA, and VWMA. Check each "Show MA" to display the moving average on the chart. Up to five moving averages can be displayed. Check each "Above MA" or "Below MA" to add the "and" condition in "Combination signal" whether the price is above or below the moving average.
2.6 Bollinger band
Check "Show bollinger band" to display the Bollinger band. You can enter the time frame, type of moving average, base period, and standard deviation. The type of moving average can be selected from SMA, EMA, SMMA (RMA), WMA, and VWMA. This auxiliary function is independent and is not taken into account in "Combination signal".
2.7 Ichimoku cloud
Check "Show Ichimoku cloud" to display the Ichimoku cloud. You can enter the time frame, base period, leading line and lagging line periods. This auxiliary function is independent and is not taken into account in "Combination signal".
2.8 Fair Value Gap
Check "Show fair value gap" to display the Fair Value Gap. Check "Show short/middle/long term signal" to display the Fair Value Gap zone of the checked time frame as a gray square on the chart. You can set the threshold value to suppress the display and whether or not to display the label. This auxiliary function is independent and is not taken into account in "Combination signal".
2.9 Order Block
Check "Show order block" to display the Order Block. Check "Show short/middle/long term signal" to display the Order Block zone of the checked time frame as a green or red square on the chart. You can set the threshold value to suppress the display and whether or not to display the label. This auxiliary function is independent and does not contribute to the "Combination signal".
AWR Pearsons R & LR Oscillator MTF1. Overview
This indicator is designed to analyze the correlation between a price series (or any custom indicator) and the bar index using Pearson’s correlation coefficient. It performs multiple linear regressions over shifted periods and then aggregates these results to create an oscillator. In addition, it integrates a multi-timeframe (MTF) analysis by retrieving the same calculations on 3 different time intervals, providing a more comprehensive view of the trend evolution.
2. User Parameters
The indicator offers several configurable parameters that allow the user to adjust both the calculations and the display:
Source (Linear Regression): The data source on which the regressions are applied (by default, the closing price).
Number of Linear Regressions (numOfLinReg): Allows choosing the number of correlation calculations (up to 10) to be carried out on different shifted periods.
Start Period (startPeriod) and Period Increment (periodIncrement): These parameters define the reference window for each regression. The calculation starts with a base period and then increases with each regression by a fixed increment, creating several time windows to assess the relationship between price evolution and time progression.
Deviation (def_deviation): Although defined, this parameter is intended to control the sensitivity of the calculations. It can be used in further developments of the indicator.
For Multi Time Frames analysis, three additional timeframes are provided through inputs in addition of the current period:
Sum up :
Timeframe 1 = current
Timeframe 2 = 30-minute (default settings)
Timeframe 3 = 1-hour (default settings)
Timeframe 4 = 4-hour (default settings)
These different timeframes allow you to obtain consistent or divergent signals over multiple resolutions, thereby enhancing the confidence of trading decisions.
3. Calculation Logic
At the core of the indicator is the f_calcConditions() function, which performs several essential tasks:
Calculating Pearson's Coefficients For each linear regression, the script uses ta.correlation() to measure the correlation between the chosen source (for example, the closing price) and the chronological index (bar_index). Up to 10 coefficients are computed over shifted windows, providing an evolving view of the linear relationship over different intervals.
Averaging the Results Once the coefficients are calculated, they are stored in an array and averaged to produce a global correlation value called avgPR_local.
Applying Moving Averages
The resulting average is then smoothed using several moving averages (SMA):
A short-term SMA (period of 14),
An intermediate SMA (period of 100),
A long-term SMA (period of 400).
These moving averages help to highlight the underlying trend of the oscillator by indicating the direction in which the correlation is moving.
Defining Trading Conditions Based on avgPR_local and its associated SMAs, multiple conditions are set to generate buy or sell signals:
Simple SMA Conditions :
Small signal :
Light blue below bar signal :
When the averaged coefficients lie between -1 and -0.63, are above the short-term SMA (14 periods), and are increasing, it may indicate a bullish dynamic (buy signal).
Orange above bar signal :
Conversely, when the value is higher (between 0.63 and 1) and below its SMA (14 periods), and are decreasing the trend is considered bearish (sell signal).
Medium signal :
Dark green signal
When the averaged coefficients lie between -1 and -0.45, are above the short-term SMA (14 periods), and are increasing, and also the average 100 is increasing. It may indicate a bullish dynamic (buy signal).
Light red signal :
Conversely, when the value is higher (between 0.45 and 1) and below its SMA (14 periods), the trend and are decreasing, and also the average 100 is decreasing. It may indicate a bearish dynamic(sell signal).
Light green signal :
When the averaged coefficients lie between -1 and -0.15, are above the short-term SMA (14 periods), and are increasing, and also the average 100 & 400 is increasing . It may indicate a bullish dynamic (buy signal).
Dark red signal :
Conversely, when the value is higher (between 0.45 and 1) and below its SMA (14 periods), the trend and are decreasing, and also the average 100 & 400 is decreasing. It may indicate a bearish dynamic(sell signal).
These additional conditions further refine the signals by verifying the consistency of the movement over longer periods. They check that the trends from the respective averages (intermediate and long-term) are in line with the direction indicated by the initial moving average.
These conditions are designed to capture moments when the oscillator's dynamics change, which can be interpreted as opportunities to enter or exit a trade.
4. Multi-Timeframes and Display
One of the main strengths of this indicator is its multi-timeframe approach.
This offers several advantages:
Comparative Analysis: Compare short-term dynamics with broader trends.
Enhanced Signal Reliability: A signal confirmed across multiple timeframes has a higher probability of success.
To visually highlight these signals on the chart, the indicator uses the plotchar() function with distinct symbols for each timeframe:
Current Timeframe: Signals are represented by the character "1"
30-Minute Timeframe: Displayed with the character "2".
1-Hour Timeframe: Displayed with the character "3".
4-Hour Timeframe: Displayed with the character "4".
The colors used are various shades of green for buy signals and shades of red/orange for sell signals, making it easy to distinguish between the different alerts.
5. Integrated Alerts
To avoid missing any trading opportunities, the indicator includes an alert condition via the alertcondition() function. This alert is triggered if any buy or sell signal is generated on any of the analyzed timeframes. The message "MTF valide" indicates that multiple timeframes are confirming the signal, enabling more informed decision-making.
6. How to Use This Indicator
Installation and Configuration: Copy the script into the TradingView Pine Script editor and add it to your chart. The default parameters can be tuned according to market behavior or personal preferences regarding sensitivity and responsiveness.
Interpreting the Signals:
Watch for the symbols on the chart corresponding to each timeframe.
A buy signal appears as a specific symbol below the bar (indicating a bullish condition based on a rising or less negative correlation), while a sell signal appears above the bar.
Multi-Timeframe Analysis: By comparing signals across timeframes, you can filter out false signals. For example, if the short-term timeframe shows a buy signal but the 4-hour timeframe indicates a bearish trend, you may need to reassess your position.
Adjusting the Settings: Depending on the asset type or market volatility, you might need to tweak the periods (startPeriod, periodIncrement) or the number of linear regressions to generate signals that better align with the price dynamics.
Using Alerts: Activate the built-in alert feature so that TradingView notifies you as soon as a multi-timeframe signal is detected. This ensures you stay informed even if you are not continuously monitoring the chart.
In Conclusion
The AWR Pearsons R & LR Oscillator MTF is a powerful tool for traders seeking a detailed understanding of market trends by combining statistical rigor (via Pearson's correlation coefficient) with a multi-timeframe approach. It is capable of generating clear entry and exit signals, visualized with specific symbols and colors depending on the timeframe. By adjusting the parameters to match your trading strategy and leveraging the alert system, you now have a robust instrument for making well-informed market decisions.
Feel free to dive deeper into each component and experiment with different configurations to see how the oscillator integrates with your overall technical analysis strategy. Enjoy exploring its potential and refining your trading approach!
15-Minute Separator + Upcomingit is used to separate 15 minutes in LTF. Best use on 1 minutes or ticks. Perfect for scalping.
ATR Bands PRO + Sweep Label + Divergence [MASTER]🔰 ATR Bands PRO + Liquidity Sweep & Divergence (RSI/MACD)
## 🔰 ATR Bands PRO + Liquidity Sweep & Divergence
A powerful institutional-grade toolkit that combines advanced ATR band visualization, customizable stop bands, dynamic grid lines, real-time liquidity sweep detection, and built-in swing-point divergence signals (RSI/MACD) – all fully adjustable.
**Key Features:**
- **Multi-Timeframe ATR Bands:**
Visualize ATR-based bands from any higher timeframe, fully customizable in color, width, style, and extension.
- **Smart Stops & Grid:**
Add stop bands and dynamic ATR grid lines with user control over appearance and step.
- **Liquidity Sweep Detection:**
Instantly see “Bull Sweep” or “Bear Sweep” labels every time price touches high/low liquidity sweeps from your chosen timeframe.
- **Divergence Alerts (RSI/MACD):**
Detect bullish or bearish divergence at swing highs/lows (on the main timeframe) – complete with highly visible, color-customizable labels.
- **Professional, Non-Cluttered Visuals:**
All labels and lines are managed with smart array handling – zero repaint, zero overlay clutter.
**How to Use:**
1. Choose your ATR “base” timeframe and customize band/stop/grid appearance.
2. Pick the Liquidity Sweep timeframe (e.g., H1, H4, D1) for institutional swing levels.
3. Enable divergence detection (RSI or MACD) to reveal hidden reversal signals at market pivots.
4. Adjust label offsets and colors for maximum clarity on your chart.
**Perfect for:**
- Liquidity-driven scalping, swing, and positional strategies.
- Spotting liquidity grabs, institutional sweeps, and “trap” price action.
- Fast visual confirmation of potential reversal zones using built-in divergence signals.
- Traders who demand high-performance, flexible visuals without chart clutter.
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**Credit:**
Original logic inspired by RunStrat, AlgoAlpha, and custom adaptations by MILO888.
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*For educational and professional use. Test on your own symbol/timeframe before live trading. Enjoy an edge!*
Close Difference Histogram with EMA SD Bands and LinesIndicator for the NSI system.
Possible use on the 3D timeframe for BTC.
QTN | Money CirculatingQTN | Money Circulating | VWAP-based turnover Multi Time Frames
This indicator visualizes real money flow in a stock by calculating the turnover (trading value) using volume multiplied by VWAP across daily, weekly, and monthly timeframes. It applies EMA smoothing to provide a clearer trend of money circulating in the market.
Features:
• VWAP-based turnover calculation for more accurate money flow measurement.
• EMA smoothing with customizable period.
• Table display of daily, weekly, and monthly turnover values in millions (M) for quick reference.
• Clean, color-coded visualization for easy interpretation.
Usage:
Ideal for traders and investors who want to gauge market participation intensity and detect shifts in trading momentum across multiple timeframes.
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Disclaimer
This indicator is for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any security. Trading involves risk, and users should conduct their own research or consult with a financial advisor before making investment decisions. The author is not responsible for any trading losses.
AMIT'S EMA'SIndicator Name:** AMIT'S EMA'S
**📝 Description:**
This all-in-one TradingView indicator is designed for serious traders who want clear trend direction, powerful candlestick signals, and session-based analysis—all in one screen.
### 🔹 Features:
#### 1. **Exponential Moving Averages (EMAs):**
* Tracks **EMA 21, 50, 100, and 200** to identify short-, medium-, and long-term trends.
* Color-coded for quick recognition of crossovers and momentum shifts.
* Helps spot golden/death crosses and trend alignment zones.
#### 2. **Custom Candlestick Patterns:**
* **Big Bar Up:** Highlights large bullish candles indicating potential breakouts or strong buying interest.
* **Big Bar Down:** Marks large bearish candles signaling breakdowns or heavy selling pressure.
#### 3. **Reversal Candlestick Patterns:**
* **3 Line Strike Up:** A strong bullish reversal signal after three consecutive down candles, followed by a large bullish candle engulfing them.
* **3 Line Strike Down:** A strong bearish reversal signal after three up candles, followed by a large bearish engulfing candle.
* Patterns are plotted with icons/labels for easy spotting.
#### 4. **Session Timings with Background Highlight:**
* Visual background shading to mark major **trading sessions**:
* Asian
* London
* New York
* Helps identify volatility zones and session overlap opportunities.
#### 5. **Trend Cloud:**
* A dynamic cloud formed using a combination of EMAs or custom logic to represent **overall trend bias**.
* Green cloud = bullish trend.
* Red cloud = bearish trend.
* Acts as a visual filter to avoid counter-trend trades.
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**🛠️ Customization Options:**
* Enable/disable specific EMAs or patterns.
* Adjustable candle size threshold for "Big Bar" detection.
* Session times and cloud smoothing periods can be tailored.
**📈 Best For:**
* Intraday traders
* Swing traders
* Trend followers
* Price action traders
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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.
Session HighlightsCrypto relevant global equity market open/close indicator, high opacity background highlights follow the following color scheme & daily time ranges (times in EST):
Orange: 8:00 PM to 9:30 PM (Sunday - Thursday): Japan/South Korea
Yellow: 9:30 PM to +1D 4:00 AM (Sunday - Thursday): Hong Kong
Aqua: 8:00 AM to 9:30 AM (Monday - Friday): US Premarket / Macro Data Release
Blue: 9:30 AM to 4:00 PM (Monday - Friday): US
White: 4:00 PM to +2D 6:00 PM (Friday - Sunday): Weekend
*Market Holidays not accounted for
Range Breakout + TradePulse HUD + Momentum GlowRange Breakout + TradePulse HUD + Momentum Glow
Overview
The Range Breakout + TradePulse HUD + Momentum Glow is a sophisticated Pine Script® indicator for TradingView, engineered to provide traders with a comprehensive toolkit for identifying breakout opportunities, monitoring real-time market dynamics, and visualizing momentum shifts. By integrating volatility-based channels, a dynamic heads-up display (HUD), and momentum-driven background glow, this indicator empowers traders with actionable insights for scalping, day trading, or swing trading across stocks, forex, and cryptocurrencies.
Key Features
Range Breakout System
ATR-Based Dynamic Channels: Constructs upper, lower, and mid-channel lines using a smoothed Average True Range (ATR) multiplied by a customizable factor (default: 4x), adapting to market volatility for precise breakout detection.
Breakout and Reversal Signals: Generates buy (▲) and sell (▼) signals on mid-channel crossovers, with an optional trend filter to align with the prevailing market direction, enhancing signal reliability.
Fakeout Detection: Optionally displays "X" markers for fakeout signals when price briefly breaches channel boundaries but fails to sustain the move, helping traders avoid false breakouts.
Customizable Visuals: Offers adjustable channel colors, gradient fill options, and transparency settings for a clean, user-friendly chart display.
TradePulse HUD
Real-Time Market Dashboard: A sleek, top-center HUD provides critical metrics on the last confirmed bar, including:
Price: Current price, color-coded (green for up, red for down).
Price Change (%): Percentage change with customizable alert thresholds for significant spikes (default: 3%).
Volume Analysis: Displays volume direction (Bullish, Bearish, Neutral) and highlights "Hype" surges when volume exceeds a user-defined threshold relative to its standard deviation (default: 1.5x).
Trend Direction: Derived from EMA crossovers (fast: 4-period, slow: 6-period) and volume confirmation, shown as Bullish, Bearish, or Neutral.
Momentum Score: A normalized RSI-based score (0–100), color-coded for overbought (>70) or oversold (<30) conditions.
Signal Confidence: A composite score (0–100) combining RSI, volume, and EMA divergence to evaluate signal strength.
Session Trend: Tracks intraday trends during key US market sessions (Open: 9:30–10:00, Mid: 10:00–14:00, Power Hour: 14:00–16:00, US Eastern Time) with emoji indicators ( for bullish, for bearish, for neutral).
RSI: Displays current RSI with customizable overbought (default: 65) and oversold (default: 35) levels.
Customizable HUD: Toggle visibility and adjust colors for a tailored trading experience.
Momentum Glow
Dynamic Background Visualization: Highlights strong market momentum with a background glow (green for bullish when RSI > 80, pink for bearish when RSI < 20), toggleable for minimal chart clutter.
Trend Confirmation: Combines channel breakouts with EMA crossovers and volume thresholds to identify high-probability bullish and bearish zones, ideal for trend-following strategies.
Session-Based Filtering: Excludes low-volatility "barcode" patterns (price range < 60% of average) to focus on actionable trends during active market hours.
Alert System
Robust Alerts: Configurable alerts for:
Buy/sell signals with optional trend filtering.
Price spikes exceeding the user-defined threshold.
"Hype" volume surges with a cooldown period (default: 5 bars) to prevent repetitive alerts.
EMA bullish/bearish crossovers for trend confirmation.
Flexible Thresholds: Customize price change, volume spike, and hype volume multipliers to align with specific trading strategies.
How It Works
Range Breakout: Calculates a central channel line (HL2) with upper and lower boundaries based on ATR. Breakouts are detected when price crosses these boundaries, while buy/sell signals trigger on mid-channel crossovers, validated by stability and optional trend filters.
TradePulse HUD: Integrates EMA, RSI, volume, and price data into a real-time, top-center dashboard, providing a holistic view of market conditions.
Momentum Glow: Enhances trend visualization with background glow for extreme RSI conditions, reinforcing breakout signals and trend direction.
Session Analysis: Monitors price behavior during key trading sessions, filtering out low-range periods to highlight high-probability trading opportunities.
Settings
Range Breakout Settings:
Line Extension Length: Duration of breakout lines (default: 100 bars).
Channel Width Multiplier: ATR multiplier for channel width (default: 4x).
Show Fakeout Signals: Toggle fakeout markers (default: disabled).
Filter Signals by Trend: Align signals with the broader trend (default: disabled).
Colors and Transparency: Customize channel colors and fill opacity.
TradePulse HUD Settings:
Show HUD: Enable/disable HUD display.
Show Momentum Glow: Toggle background glow for momentum visualization.
Price Change Alert Threshold: Percentage for price spike alerts (default: 3%).
Volume Spike Multiplier: Threshold for volume spikes (default: 1.2x average).
Hype Volume Multiplier: Threshold for "Hype" surges (default: 1.5x standard deviation).
Hype Cooldown: Minimum bars between hype alerts (default: 5).
EMA Periods: Fast (default: 4) and Slow (default: 6) for trend detection.
RSI Settings: Period (default: 14), overbought (default: 65), oversold (default: 35).
How to Use
Add the indicator to your TradingView chart.
Customize settings to match your trading style (e.g., adjust channel width, enable trend filters, or tweak HUD colors).
Monitor breakout signals (▲ for buy, ▼ for sell), fakeout markers (X), and HUD metrics for real-time context.
Use session trend indicators (//) to identify high-probability trading zones.
Set up alerts for breakouts, price spikes, volume surges, or EMA crossovers to stay informed.
Notes
License: Mozilla Public License 2.0 (mozilla.org).
Author: © StanTheTradingMan
Version: Pine Script® v6
Best Used With: Liquid markets (stocks, forex, crypto) on intraday or daily timeframes.
Optimization: Adjust ATR multiplier, EMA periods, and RSI thresholds to optimize for specific assets or strategies.
Why Use This Indicator?
The Range Breakout + TradePulse HUD + Momentum Glow delivers a powerful combination of breakout detection, real-time market analytics, and momentum visualization. Its intuitive HUD, dynamic glow feature, and robust alert system make it an essential tool for traders seeking clarity and precision in fast-moving markets. Whether capturing intraday moves or riding longer-term trends, this indicator equips you with the insights to trade confidently.
Get Started
Apply the indicator to your chart, fine-tune settings to suit your strategy, and leverage its advanced features to elevate your trading. For feedback or questions, connect via TradingView.
GOOGL Multi-Timeframe Key LevelsAI analysis for 4Jun25, data over past 6 months, targetting scalps, day trades, and 2 to 4 week swings
Chaikin Oscillator Multi-Timeframe BiasOverview
Chaikin Oscillator Multi-Timeframe Bias is an indicator designed to help traders align with institutional buying and selling activity by analyzing Chaikin Oscillator signals across two timeframes—a higher timeframe (HTF) for trend bias and a lower timeframe (LTF) for timing. This dual-confirmation model helps traders avoid false breakouts and trade in sync with market momentum and accumulation or distribution dynamics.
Core Concepts
The Chaikin Oscillator measures the momentum of accumulation and distribution based on price and volume. Institutional traders typically accumulate slowly and steadily, and the Chaikin Oscillator helps reveal this pattern. Multi-timeframe analysis confirms whether short-term price action supports the longer-term trend. This indicator applies a smoothing EMA to each Chaikin Oscillator to help confirm direction and reduce noise.
How to Use the Indicator
Start by selecting your timeframes. The higher timeframe, set by default to Daily, establishes the broader directional bias. The lower timeframe, defaulted to 30 minutes, identifies short-term momentum confirmation. The indicator displays one of five labels: CALL Bias, CALL Wait, PUT Bias, PUT Wait, or NEUTRAL. CALL Bias means both HTF and LTF are bullish, signaling a potential opportunity for long or call trades. CALL Wait indicates that the HTF is bullish, but the LTF hasn’t confirmed yet. PUT Bias signals bearish alignment in both HTF and LTF, while PUT Wait indicates HTF is bearish and LTF has not yet confirmed. NEUTRAL means there is no alignment between timeframes and directional trades are not advised.
Interpretation
When the Chaikin Oscillator is above zero and also above its EMA, this indicates bullish momentum and accumulation. When the oscillator is below zero and below its EMA, it suggests bearish momentum and distribution. Bias labels identify when both timeframes are aligned for a higher-probability directional setup. When a “Wait” label appears, it means one timeframe has confirmed bias but the other has not, suggesting the trader should monitor closely but delay entry.
Notes
This indicator includes alerts for both CALL and PUT bias confirmation when both timeframes are aligned. It works on all asset classes, including stocks, ETFs, cryptocurrencies, and futures. Timeframes are fully customizable, and users may explore combinations such as 1D and 1H, or 4H and 15M depending on their strategy. For best results, consider pairing this tool with volume, volatility, or price action analysis.
System 0530 - Stoch RSI Strategy v13 SL-Priority TP-ReversalStrategy Overview: System 0530 - Stochastic RSI Multi-Timeframe
This TradingView Pine Script outlines a strategy primarily based on the Stochastic RSI (Stoch RSI) indicator, employing a multi-timeframe approach for signal generation and confirmation. It is designed to operate on a 5-minute chart, referencing 15-minute data for higher-level context.
Core Mechanics:
Primary Indicator: Stochastic RSI, used to identify overbought/oversold conditions and potential momentum shifts.
Timeframes:
5-minute chart: For initial signal triggers and primary execution.
15-minute chart: For signal confirmation and certain take-profit conditions.
Entry Logic:
Bullish Market Bias Adjustment: Reflecting an overall bullish market trend, this strategy is intended to be applied with more tolerance or lower requirements for triggering long positions compared to short positions. This can be achieved by adjusting the input parameters accordingly (e.g., setting a higher stoch_5min_k_long_trigger threshold, allowing longs to trigger when less oversold, or a higher stoch_15min_long_entry_level, requiring less deep confirmation for longs).
5-Minute Initial Trigger:
Long: 5-minute Stoch RSI K-line crosses above its D-line, AND the K-value at the time of the cross is below a specified stoch_5min_k_long_trigger level.
Short: 5-minute Stoch RSI K-line crosses below its D-line, AND the K-value at the time of the cross is above a specified stoch_5min_k_short_trigger level.
15-Minute Confirmation:
After a 5-minute trigger, the strategy waits for a configurable number of 5-minute bars (wait_window_5min_bars) for confirmation from the 15-minute timeframe.
Long Confirmation: 15-minute Stoch RSI K-line must be strictly greater than its D-line, AND the 15-minute K-value must be below stoch_15min_long_entry_level.
Short Confirmation: 15-minute Stoch RSI K-line must be strictly less than its D-line, AND the 15-minute K-value must be above stoch_15min_short_entry_level.
Position Lock: No new entry signals are generated if the strategy already holds an open position.
Duplicate Signal Filter: A cooldown period, defined by min_bars_between_signals, must pass before another signal in the same direction can be considered.
Exit Logic:
Stop-Loss (SL):
The SL is set based on the low (for longs) or high (for shorts) of the 5-minute bar on which the trade was entered.
The position is closed if a subsequent 5-minute bar's closing price moves beyond this SL level.
SL checks are prioritized over Take-Profit checks.
Take-Profit (TP) - Two-Stage Mechanism:
TP1 (Closes 50% of the position):
Priority A (Extreme K Levels): If the 5-minute Stoch K OR 15-minute Stoch K value exceeds extreme_long_tp_level (for longs) or drops below extreme_short_tp_level (for shorts).
Priority B (Conditional 5-min Cross + 15-min K-Reversal): If Extreme K conditions are not met, TP1 is triggered if:
A 5-minute Stoch RSI K/D crossover occurs (K crosses below D for longs; K crosses above D for shorts - using strict ta.crossunder/ta.crossover).
AND this 5-minute crossover is confirmed by a 15-minute Stoch K-value "reversal" (current 15m K < previous 15m K for longs; current 15m K > previous 15m K for shorts).
TP2 (Closes remaining 50% of the position):
This stage is active only after TP1 has been taken.
If the 5-minute Stoch K OR 15-minute Stoch K value reaches the same extreme_long_tp_level or extreme_short_tp_level again, a waiting period begins, defined by tp2_extreme_k_wait_bars (number of 5-minute bars).
If the extreme K condition persists after this waiting period, TP2 is executed.
If the extreme K condition disappears during the waiting period, the TP2 attempt for that instance is cancelled.
If tp2_extreme_k_wait_bars is set to 0, TP2 will trigger immediately upon the extreme K condition being met after TP1.
Note on Fine-Tuning (as per user context):
This strategy has been specifically fine-tuned for SPY. As with any trading system, its performance can vary across different instruments and market conditions. The user notes that to potentially maximize profits, especially in trending scenarios where the current "Extreme K" based TP2 might exit prematurely, it is advisable to explore and integrate other indicators or alternative take-profit methodologies. Dynamic approaches like ATR (Average True Range) trailing stops or trend-following exit signals could be considered for managing the second portion of the position.
Codigo Trading 1.0📌Codigo Trading 1.0
This indicator strategically combines SuperTrend, multiple Exponential Moving Averages (EMAs), the Relative Strength Index (RSI), and the Average True Range (ATR) to offer clear entry and exit signals, as well as an in-depth view of market trends. Ideal for traders looking to optimize their operations with an all-in-one tool.
🔩How the Indicator Works:
This indicator relies on the interaction and confirmation of several key components to generate signals:
SuperTrend: Determines the primary trend direction. An uptrend SuperTrend signal (green line) indicates an upward trend, while a downtrend (red line) signals a downward trend. It also serves as a guide for setting Stop Loss and Take Profit levels.
EMAs: Includes EMAs of 10, 20, 55, 100, 200, and 325 periods. The relationship between the EMA 10 and EMA 20 is fundamental for confirming the strength and direction of movements. An EMA 10 above the EMA 20 suggests an uptrend, and vice versa. Longer EMAs act as dynamic support and resistance levels, offering a broader view of the market structure.
RSI: Used to identify overbought (RSI > 70/80) and oversold (RSI < 30/20) conditions, generating "Take Profit" alerts for potential trade closures.
ATR: Monitors market volatility to help you manage exits. ATR exit signals are triggered when volatility changes direction, indicating a possible exhaustion of the movement.
🗒️Entry and Exit Signals:
I designed specific alerts based on all the indicators I use in conjunction:
Long Entries: When SuperTrend is bullish and EMA 10 crosses above EMA 20.
Short Entries: When SuperTrend is bearish and EMA 10 crosses below EMA 20.
RSI Exits (Take Profit): Indicated by "TP" labels on the chart, when the RSI reaches extreme levels (overbought for longs, oversold for shorts).
EMA 20 Exits: When the price closes below EMA 20 (for longs) or above EMA 20 (for shorts).
ATR Exits: When the ATR changes direction, signaling a possible decrease in momentum.
📌Key Benefits:
Clarity in Trend: Quickly identifies market direction with SuperTrend and EMA alignment.
Strategic Entry and Exit Signals: Receive timely alerts to optimize your entry and exit points.
Assisted Trade Management: RSI and ATR help you consider when to take profits or exit a position.
Intuitive Visualization: Arrows, labels, and colored lines make analysis easy to interpret.
Disclaimer:
Trading in financial markets carries significant risks. This indicator is an analysis tool and should not be considered financial advice. Always conduct your own research and trade at your own risk.
Profits Framework 25.6The Profits Framework 25.6 is a multi-timeframe, EMA-based trading system designed for futures traders seeking clean, high-conviction entries. This script uses:
EMAs (12, 50, 200) for structure
30-minute confluence with the current chart
A 4-factor entry scoring system (bias, stack, pullback, candle confirmation)
Fixed 100-tick target/stop
Real-time BUY/SELL labels with entry prices
Scoreboard showing win/loss outcomes for both directions
Best suited for NQ futures traders using the 15-minute chart for entries.
Test and adapt to your style before live trading.
HTF Overlay Candles (Aggregated)🕯️ Synthetic Aggregated Candles
Created by: The_Forex_Steward
License: Mozilla Public License 2.0
🔍 Description
This indicator creates visually aggregated candles directly on your chart, allowing you to view synthetic candlesticks that combine multiple bars into one. It enables a higher-level perspective of price action without switching timeframes.
Each synthetic candle is built by combining a user-defined number of consecutive bars (e.g., 4 bars from the current timeframe form one aggregated candle). It accurately tracks open, high, low, and close values, then draws a colored box and wick to represent the aggregated data.
⚙️ Features
Aggregation Factor: Combine candles over a custom number of bars (e.g., 4 = 4x current TF)
Timezone Alignment: Aggregation is aligned with midnight in UTC-5 (modifiable in code)
Custom Colors: Choose colors for bullish and bearish synthetic candles
Body Opacity: Control the opacity of the candle body for visual clarity
Wick Width: Customize the thickness of the candle wick
📌 Use Case
Ideal for traders looking to:
- Reduce noise in lower timeframes
- Visualize price action in broader chunks
- Spot larger structure and swing patterns without switching charts
📈 How It Works
At every bar, the script checks whether a new aggregation interval has begun (aligned to the day start). If so, it finalizes the previous candle and starts a new one. On the last bar of the chart, it ensures the final synthetic candle is drawn.
✅ Tip
For best results, apply this script on intraday timeframes and experiment with different aggregation factors (4, 6, 12, etc.) to discover the most insightful compression for your strategy.
Note: This script is optimized for visual representation only. It does not repaint, but it is not intended for algorithmic strategies or alerts.
15Min Opening Range & Midline (UTC+2) This TradingView script draws the 15-minute Opening Range of the day based on a user-defined start time and plots the high, low, and midline of this range. It works by capturing the high and low of the first 15 minutes of the session, and then extending them for the rest of the trading day. The midline is calculated as the average of the high and low values.
Key Features:
User-configurable start time: Define the hour and minute for when the opening range should start based on your local time zone.
Line customization: Choose the color and line style (solid, dashed, dotted) for the high, low, and midline.
Easy-to-read visual representation: The high and low lines extend across the chart from the range start, with the midline placed in the center.
Dynamic updates: The indicator resets at the start of each new trading day and updates the opening range lines accordingly.
Perfect for:
Traders looking to monitor the initial market range during the first 15 minutes of trading.
Identifying key support and resistance levels based on early price action.
Providing a midline to assess market bias and potential breakouts.
Notes:
The indicator calculates everything based on the local time zone you define and automatically adjusts to your desired start time.
It will not redraw lines; once drawn, they remain on the chart until the next session.
Wave Trend With SignalsBased on Wave Trend With Signals ...thx bro. Added RSI and a little of fine tuning.
Enjoy!
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
