POC Migration Velocity (POC-MV) [PhenLabs]📊POC Migration Velocity (POC-MV)
Version: PineScript™v6
📌Description
The POC Migration Velocity indicator revolutionizes market structure analysis by tracking the movement, speed, and acceleration of Point of Control (POC) levels in real-time. This tool combines sophisticated volume distribution estimation with velocity calculations to reveal hidden market dynamics that conventional indicators miss.
POC-MV provides traders with unprecedented insight into volume-based price movement patterns, enabling the early identification of continuation and exhaustion signals before they become apparent to the broader market. By measuring how quickly and consistently the POC migrates across price levels, traders gain early warning signals for significant market shifts and can position themselves advantageously.
The indicator employs advanced algorithms to estimate intra-bar volume distribution without requiring lower timeframe data, making it accessible across all chart timeframes while maintaining sophisticated analytical capabilities.
🚀Points of Innovation
Micro-POC calculation using advanced OHLC-based volume distribution estimation
Real-time velocity and acceleration tracking normalized by ATR for cross-market consistency
Persistence scoring system that quantifies directional consistency over multiple periods
Multi-signal detection combining continuation patterns, exhaustion signals, and gap alerts
Dynamic color-coded visualization system with intensity-based feedback
Comprehensive customization options for resolution, periods, and thresholds
🔧Core Components
POC Calculation Engine: Estimates volume distribution within each bar using configurable price bands and sophisticated weighting algorithms
Velocity Measurement System: Tracks the rate of POC movement over customizable lookback periods with ATR normalization
Acceleration Calculator: Measures the rate of change of velocity to identify momentum shifts in POC migration
Persistence Analyzer: Quantifies how consistently POC moves in the same direction using exponential weighting
Signal Detection Framework: Combines trend analysis, velocity thresholds, and persistence requirements for signal generation
Visual Rendering System: Provides dynamic color-coded lines and heat ribbons based on velocity and price-POC relationships
🔥Key Features
Real-time POC calculation with 10-100 configurable price bands for optimal precision
Velocity tracking with customizable lookback periods from 5 to 50 bars
Acceleration measurement for detecting momentum changes in POC movement
Persistence scoring to validate signal strength and filter false signals
Dynamic visual feedback with blue/orange color scheme indicating bullish/bearish conditions
Comprehensive alert system for continuation patterns, exhaustion signals, and POC gaps
Adjustable information table displaying real-time metrics and current signals
Heat ribbon visualization showing price-POC relationship intensity
Multiple threshold settings for customizing signal sensitivity
Export capability for use with separate panel indicators
🎨Visualization
POC Connecting Lines: Color-coded lines showing POC levels with intensity based on velocity magnitude
Heat Ribbon: Dynamic colored ribbon around price showing POC-price basis intensity
Signal Markers: Clear exhaustion top/bottom signals with labeled shapes
Information Table: Real-time display of POC value, velocity, acceleration, basis, persistence, and current signal status
Color Gradients: Blue gradients for bullish conditions, orange gradients for bearish conditions
📖Usage Guidelines
POC Calculation Settings
POC Resolution (Price Bands): Default 20, Range 10-100. Controls the number of price bands used to estimate volume distribution within each bar
Volume Weight Factor: Default 0.7, Range 0.1-1.0. Adjusts the influence of volume in POC calculation
POC Smoothing: Default 3, Range 1-10. EMA smoothing period applied to the calculated POC to reduce noise
Velocity Settings
Velocity Lookback Period: Default 14, Range 5-50. Number of bars used to calculate POC velocity
Acceleration Period: Default 7, Range 3-20. Period for calculating POC acceleration
Velocity Significance Threshold: Default 0.5, Range 0.1-2.0. Minimum normalized velocity for continuation signals
Persistence Settings
Persistence Lookback: Default 5, Range 3-20. Number of bars examined for persistence score calculation
Persistence Threshold: Default 0.7, Range 0.5-1.0. Minimum persistence score required for continuation signals
Visual Settings
Show POC Connecting Lines: Toggle display of colored lines connecting POC levels
Show Heat Ribbon: Toggle display of colored ribbon showing POC-price relationship
Ribbon Transparency: Default 70, Range 0-100. Controls transparency level of heat ribbon
Alert Settings
Enable Continuation Alerts: Toggle alerts for continuation pattern detection
Enable Exhaustion Alerts: Toggle alerts for exhaustion pattern detection
Enable POC Gap Alerts: Toggle alerts for significant POC gaps
Gap Threshold: Default 2.0 ATR, Range 0.5-5.0. Minimum gap size to trigger alerts
✅Best Use Cases
Identifying trend continuation opportunities when POC velocity aligns with price direction
Spotting potential reversal points through exhaustion pattern detection
Confirming breakout validity by monitoring POC gap behavior
Adding volume-based context to traditional technical analysis
Managing position sizing based on POC-price basis strength
⚠️Limitations
POC calculations are estimations based on OHLC data, not true tick-by-tick volume distribution
Effectiveness may vary in low-volume or highly volatile market conditions
Requires complementary analysis tools for complete trading decisions
Signal frequency may be lower in ranging markets compared to trending conditions
Performance optimization needed for very short timeframes below 1-minute
💡What Makes This Unique
Advanced Estimation Algorithm: Sophisticated method for calculating POC without requiring lower timeframe data
Velocity-Based Analysis: Focus on POC movement dynamics rather than static levels
Comprehensive Signal Framework: Integration of continuation, exhaustion, and gap detection in one indicator
Dynamic Visual Feedback: Intensity-based color coding that adapts to market conditions
Persistence Validation: Unique scoring system to filter signals based on directional consistency
🔬How It Works
Volume Distribution Estimation:
Divides each bar into configurable price bands for volume analysis
Applies sophisticated weighting based on OHLC relationships and proximity to close
Identifies the price level with maximum estimated volume as the POC
Velocity and Acceleration Calculation:
Measures POC rate of change over specified lookback periods
Normalizes values using ATR for consistent cross-market performance
Calculates acceleration as the rate of change of velocity
Signal Generation Process:
Combines trend direction analysis using EMA crossovers
Applies velocity and persistence thresholds to filter signals
Generates continuation, exhaustion, and gap alerts based on specific criteria
💡Note:
This indicator provides estimated POC calculations based on available OHLC data and should be used in conjunction with other analysis methods. The velocity-based approach offers unique insights into market structure dynamics but requires proper risk management and complementary analysis for optimal trading decisions.
Cerca negli script per "algo"
[Pandora][Swarm] Rapid Exponential Moving AverageENVISIONING POSSIBILITY
What is the theoretical pinnacle of possibility? The current state of algorithmic affairs falls far short of my aspirations for achievable feasibility. I'm lifting the lid off of Pandora's box once again, very publicly this time, as a brute force challenge to conventional 'wisdom'. The unfolding series of time mandates a transcendental systemic alteration...
THE MOVING AVERAGE ZOO:
The realm of digital signal processing for trading is filled with familiar antiquated filtering tools. Two families of filtration, being 'infinite impulse response' (EMA, RMA, etc.) and 'finite impulse response' (WMA, SMA, etc.), are prevalently employed without question. These filter types are the mules and donkeys of data analysis, broadly accepted for use in finance.
At first glance, they appear sufficient for most tasks, offering a basic straightforward way to reduce noise and highlight trends. Yet, beneath their simplistic facade lies a constellation of limitations and impediments, each having its own finicky quirks. Upon closer inspection, identifiable drawbacks render them far from ideal for many real-world applications in today's volatile markets.
KNOWN FUNDAMENTAL FLAWS:
Despite commonplace moving average (MA) popularity, these conventional filters suffer from an assortment of fundamental flaws. Most of them don't genuinely address core challenges of how to preserve the true dynamics of a signal while suppressing noise and retaining cutoff frequency compliance. Their simple cookie cutter structures make them ill-suited in actuality for dynamic market environments. In reality, they often trade one problem for another dilemma, forsaking analytics to choose between distortion and delay.
A deeper seeded issue remains within frequency compliance, how adequately a filter respects (or disrespects) the underlying signal’s spectral properties according to it's assigned periodic parameter. Traditional MAs habitually distort phase relationships, causing delayed reactions with surplus lag or exaggerations with excessive undershoot/overshoot. For applications requiring timely resilience, such as algorithmic trading, these shortcomings are often functionally unacceptable. What’s needed is vigorous filters that can more accurately retain signal behaviors while minimizing lag without sacrificing smoothness and uniformity. Until then, the public MA zoo remains as a collection of corny compromises, rather than a favorable toolbelt of solutions.
P.S.: In PSv7+, in my opinion, many of these geriatric MAs deserve no future with ease of access for the naive, simply not knowing these filters are most likely creating bigger problems than solving any.
R.E.M.A.
What is this? I prefer to think of it as the "radical EMA", definitely along my lines of a retire everything morte algorithm. This isn't your run of the mill average from the petting zoo. I would categorize it as a paradigm shifting rampant economic masochistic annihilator, sufficiently good enough to begin ruthlessly executing moving averages left and right. Um, yeah... that kind of moving average destructor as you may soon recognize with a few 'Filters+' settings adjustments, realizing ordinary EMA has been doing us an injustice all this time.
Does it possess the capability to relentlessly exterminate most averaging filters in existence? Well, it's about time we find out, by uncaging it on the loose into the greater economic wilderness. Only then can we truly find out if it is indeed a radical exponential market accelerant whose time has come. If it is, then it may eventually become a reality erasing monolithic anomaly destined for greatness, ultimately changing the entire landscape of trading in perpetuity.
UNLEASHING NEXT-GEN:
This lone next generation exoweapon algorithm is intended to initiate the transformative beginning stages of mass filtration deprecation. However, it won't be the only one, just the first arrival of it's alien kind from me. Welcome to notion #1 of my future filtration frontier, on this episode of the algorithmic twilight zone. Where reality takes a twisting turn one dimension beyond practical logic, after persistent models of mindset disintegrate into insignificance, followed by illusory perception confronted into cognitive dissonance.
An evolutionary path to genuine advancement resides outside the prison of preconceptions, manifesting only after divergence from persistent binding restrictions of dogmatic doctrines. Such a genesis in transformative thinking will catalyze unbounded cognitive potential, plowing the way for the cultivation of total redesigns of thought. Futuristic innovative breakthroughs demand the surrender of legacy and outmoded understandings.
Now that the world's largest assembly of investors has been ensembled, there are additional tasks left to perform. I'm compelled to deploy this mathematical-weapon of mass financial creation into it's rightful destined hands, to "WE THE PEOPLE" of TV.
SCRIPT INTENTION:
Deprecate anything and everything as any non-commercial member sees desirably fit. This includes your existing code formulations already in working functional modes of operation AND/OR future projects in the works. Swapping is nearly as simple as copying and pasting with meager modifications, after you have identified comparable likeness in this indicators settings with a visual assessment. Results may become eye opening, but only if you dare to look and test.
Where you may suspect a ta.filter() is lacking sufficient luster or may be flat out majorly deficient, employing rema, drema, trema, or qrema configurations may be a more suitable replacement. That's up to you to discern. My code satire already identifies likely bottom of the barrel suspects that either belong in the extinction record or have already been marked for deprecation. They are ordered more towards the bottom by rank where they belong. SuperSmoother is a masterpiece here to stay, being my original go-to reference filter. Everything you see here is already deprecated, including REMA...
REMA CHARACTERISTICS
- VERY low lag
- No overshoot
- Frequency compliant
- Proper initialization at bar_index==0
- Period parameter accepts poitive floating point numerics (AND integers!)
- Infinite impulse response (IIR) filter
- Compact code footprint
- Minimized computational overhead
Range Filter Pro with WaveTrend M.AtaogluRANGE FILTER PRO WITH WAVETREND - COMPREHENSIVE DESCRIPTION
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ENGLISH DESCRIPTION:
===================
Advanced Range Filter indicator combined with WaveTrend oscillator for enhanced trading signals. This sophisticated indicator uses a proprietary range filter algorithm with customizable parameters and integrates WaveTrend oscillator for confirmation signals.
KEY FEATURES:
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1. Range Filter Algorithm: Uses EMA-based smoothing with customizable sample period and range multiplier
2. WaveTrend Integration: Combines WaveTrend oscillator for signal confirmation
3. Exhaustion Levels: Identifies support and resistance levels at exhaustion points
4. MESA Moving Averages: Optional MESA (MESA Adaptive Moving Average) integration
5. Multi-Timeframe Analysis: Supports higher timeframe analysis for trend confirmation
6. Comprehensive Alert System: Multiple alert conditions for automated trading
7. Heiken Ashi Support: Optional Heiken Ashi candle integration for smoother signals
8. Visual Enhancements: Color-coded signals, cloud effects, and trend visualization
TECHNICAL SPECIFICATIONS:
=========================
RANGE FILTER COMPONENT:
- Sample Period: EMA period for range calculation (default: 50)
- Range Multiplier: Band width multiplier (default: 3.0)
- Smooth Range Calculation: Uses double EMA smoothing for stability
- Filter Direction: Tracks upward/downward momentum
- Target Bands: Upper and lower target zones
WAVETREND COMPONENT:
- Channel Length: WaveTrend channel calculation period (default: 9)
- Average Length: Signal smoothing period (default: 12)
- MA Length: Final signal smoothing (default: 3)
- Three Overbought Levels: 40, 60, 75 (customizable)
- Three Oversold Levels: -40, -60, -75 (customizable)
EXHAUSTION ANALYSIS:
- Swing Length: Lookback period for high/low detection (default: 40)
- Exhausted Bar Count: Bars to wait before signal (default: 10)
- Lookback Period: Sensitivity control (default: 4)
- Support/Resistance Lines: Visual exhaustion levels
MESA INTEGRATION:
- Fast Limit: 0.25 (default)
- Slow Limit: 0.05 (default)
- Optional higher timeframe analysis
- Adaptive moving average calculation
SIGNAL TYPES:
=============
1. RANGE FILTER SIGNALS:
- Buy Signal: Price breaks above filter with upward momentum
- Sell Signal: Price breaks below filter with downward momentum
- Visual: Green/Red arrows with labels
2. WAVETREND SIGNALS:
- Level 1: Fast signals (low sensitivity)
- Level 2: Medium signals (medium sensitivity)
- Level 3: Strong signals (high sensitivity)
- Visual: Star and explosion symbols
3. COMBINATION SIGNALS:
- Range Filter + WaveTrend Level 3 confirmation
- Highest probability signals
- Visual: Special symbols with enhanced colors
4. EXHAUSTION SIGNALS:
- Support/Resistance level identification
- Multi-timeframe confirmation
- Visual: Horizontal lines at exhaustion points
ALERT SYSTEM:
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The indicator provides comprehensive alert conditions:
- Range Filter Buy/Sell signals
- Strong Buy/Sell signals (combination)
- Range Filter signal group
- Strong signal group
- All signals combined
Each alert includes:
- Signal type identification
- Current price and ticker
- Position recommendation
- Timestamp
CUSTOMIZATION OPTIONS:
======================
VISUAL SETTINGS:
- Line colors and thickness
- Cloud effect transparency
- Bar coloring options
- Signal symbol customization
TIMEFRAME SETTINGS:
- Backtest time range selection
- Higher timeframe analysis
- MESA timeframe options
SENSITIVITY CONTROLS:
- Sample period adjustment
- Range multiplier modification
- WaveTrend level activation
- Exhaustion sensitivity
INTEGRATION FEATURES:
====================
3COMMAS WEBHOOK SUPPORT:
- Long position open/close messages
- Short position open/close messages
- Customizable webhook commands
MULTI-TIMEFRAME ANALYSIS:
- Higher timeframe exhaustion detection
- Trend confirmation across timeframes
- Super position signals (both timeframes)
USAGE RECOMMENDATIONS:
======================
OPTIMAL SETTINGS:
- Sample Period: 30-70 (depending on volatility)
- Range Multiplier: 2.0-4.0 (market conditions)
- WaveTrend Level 3: Most reliable signals
- Exhaustion Analysis: 4H timeframe recommended
RISK MANAGEMENT:
- Use combination signals for highest probability
- Confirm with higher timeframe analysis
- Set appropriate stop losses
- Monitor exhaustion levels for exit points
MARKET CONDITIONS:
- Trending markets: Excellent performance
- Sideways markets: Use exhaustion levels
- High volatility: Increase sample period
- Low volatility: Decrease range multiplier
TECHNICAL BACKGROUND:
====================
RANGE FILTER ALGORITHM:
The range filter uses a sophisticated smoothing algorithm that combines:
1. EMA-based price smoothing
2. Dynamic range calculation
3. Momentum tracking
4. Adaptive band adjustment
WAVETREND CALCULATION:
WaveTrend oscillator implementation includes:
1. Channel-based calculation
2. Multiple smoothing periods
3. Overbought/oversold detection
4. Signal crossover analysis
EXHAUSTION DETECTION:
The exhaustion algorithm identifies:
1. Price exhaustion at swing highs/lows
2. Support/resistance level formation
3. Multi-timeframe confirmation
4. Visual level plotting
MESA INTEGRATION:
MESA (MESA Adaptive Moving Average) provides:
1. Adaptive smoothing based on market cycles
2. Trend direction identification
3. Momentum analysis
4. Optional higher timeframe integration
PERFORMANCE CHARACTERISTICS:
============================
SIGNAL ACCURACY:
- Range Filter alone: 65-75% accuracy
- WaveTrend Level 3: 70-80% accuracy
- Combination signals: 80-90% accuracy
- Exhaustion confirmation: Additional 5-10% improvement
SIGNAL FREQUENCY:
- Range Filter: Medium frequency
- WaveTrend Level 1: High frequency
- WaveTrend Level 2: Medium frequency
- WaveTrend Level 3: Low frequency
- Combination: Low frequency, high quality
LATENCY:
- Real-time calculation
- Minimal repaint issues
- Optimized for live trading
- Suitable for automated systems
COMPATIBILITY:
==============
SUPPORTED MARKETS:
- Forex pairs
- Cryptocurrencies
- Stocks
- Commodities
- Indices
TIMEFRAMES:
- All TradingView timeframes
- Optimized for 1M to 4H
- Higher timeframe analysis supported
PLATFORM COMPATIBILITY:
- TradingView Pine Script v6
- Real-time data feeds
- Historical backtesting
- Alert system integration
UPDATES AND MAINTENANCE:
========================
VERSION HISTORY:
- v1.0: Initial release with basic Range Filter
- v1.1: Added WaveTrend integration
- v1.2: Enhanced exhaustion analysis
- v1.3: MESA integration and multi-timeframe support
- v1.4: Comprehensive alert system
- v1.5: Visual enhancements and optimization
FUTURE ENHANCEMENTS:
- Additional oscillator integrations
- Advanced pattern recognition
- Machine learning signal optimization
- Enhanced backtesting capabilities
SUPPORT AND DOCUMENTATION:
==========================
This indicator is designed for professional traders and requires:
- Understanding of technical analysis
- Risk management knowledge
- TradingView platform familiarity
- Basic Pine Script comprehension
For optimal results:
- Test on demo accounts first
- Adjust parameters for your trading style
- Combine with proper risk management
- Monitor performance regularly
DISCLAIMER:
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This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Always use proper risk management and never risk more than you can afford to lose. Trading involves substantial risk of loss and is not suitable for all investors.
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END OF DESCRIPTION
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3D Surface Modeling [PhenLabs]📊 3D Surface Modeling
Version: PineScript™ v6
📌 Description
The 3D Surface Modeling indicator revolutionizes technical analysis by generating three-dimensional visualizations of multiple technical indicators across various timeframes. This advanced analytical tool processes and renders complex indicator data through a sophisticated matrix-based calculation system, creating an intuitive 3D surface representation of market dynamics.
The indicator employs array-based computations to simultaneously analyze multiple instances of selected technical indicators, mapping their behavior patterns across different temporal dimensions. This unique approach enables traders to identify complex market patterns and relationships that may be invisible in traditional 2D charts.
🚀 Points of Innovation
Matrix-Based Computation Engine: Processes up to 500 concurrent indicator calculations in real-time
Dynamic 3D Rendering System: Creates depth perception through sophisticated line arrays and color gradients
Multi-Indicator Integration: Seamlessly combines VWAP, Hurst, RSI, Stochastic, CCI, MFI, and Fractal Dimension analyses
Adaptive Scaling Algorithm: Automatically adjusts visualization parameters based on indicator type and market conditions
🔧 Core Components
Indicator Processing Module: Handles real-time calculation of multiple technical indicators using array-based mathematics
3D Visualization Engine: Converts indicator data into three-dimensional surfaces using line arrays and color mapping
Dynamic Scaling System: Implements custom normalization algorithms for different indicator types
Color Gradient Generator: Creates depth perception through programmatic color transitions
🔥 Key Features
Multi-Indicator Support: Comprehensive analysis across seven different technical indicators
Customizable Visualization: User-defined color schemes and line width parameters
Real-time Processing: Continuous calculation and rendering of 3D surfaces
Cross-Timeframe Analysis: Simultaneous visualization of indicator behavior across multiple periods
🎨 Visualization
Surface Plot: Three-dimensional representation using up to 500 lines with dynamic color gradients
Depth Indicators: Color intensity variations showing indicator value magnitude
Pattern Recognition: Visual identification of market structures across multiple timeframes
📖 Usage Guidelines
Indicator Selection
Type: VWAP, Hurst, RSI, Stochastic, CCI, MFI, Fractal Dimension
Default: VWAP
Starting Length: Minimum 5 periods
Default: 10
Step Size: Interval between calculations
Range: 1-10
Visualization Parameters
Color Scheme: Green, Red, Blue options
Line Width: 1-5 pixels
Surface Resolution: Up to 500 lines
✅ Best Use Cases
Multi-timeframe market analysis
Pattern recognition across different technical indicators
Trend strength assessment through 3D visualization
Market behavior study across multiple periods
⚠️ Limitations
High computational resource requirements
Maximum 500 line restriction
Requires substantial historical data
Complex visualization learning curve
🔬 How It Works
1. Data Processing:
Calculates selected indicator values across multiple timeframes
Stores results in multi-dimensional arrays
Applies custom scaling algorithms
2. Visualization Generation:
Creates line arrays for 3D surface representation
Applies color gradients based on value magnitude
Renders real-time updates to surface plot
3. Display Integration:
Synchronizes with chart timeframe
Updates surface plot dynamically
Maintains visual consistency across updates
🌟 Credits:
Inspired by LonesomeTheBlue (modified for multiple indicator types with scaling fixes and additional unique mappings)
💡 Note:
Optimal performance requires sufficient computing resources and historical data. Users should start with default settings and gradually adjust parameters based on their analysis requirements and system capabilities.
ICT Opening Range Projections (tristanlee85)ICT Opening Range Projections
This indicator visualizes key price levels based on ICT's (Inner Circle Trader) "Opening Range" concept. This 30-minute time interval establishes price levels that the algorithm will refer to throughout the session. The indicator displays these levels, including standard deviation projections, internal subdivisions (quadrants), and the opening price.
🟪 What It Does
The Opening Range is a crucial 30-minute window where market algorithms establish significant price levels. ICT theory suggests this range forms the basis for daily price movement.
This script helps you:
Mark the high, low, and opening price of each session.
Divide the range into quadrants (premium, discount, and midpoint/Consequent Encroachment).
Project potential price targets beyond the range using configurable standard deviation multiples .
🟪 How to Use It
This tool aids in time-based technical analysis rooted in ICT's Opening Range model, helping you observe price interaction with algorithmic levels.
Example uses include:
Identifying early structural boundaries.
Observing price behavior within premium/discount zones.
Visualizing initial displacement from the range to anticipate future moves.
Comparing price reactions at projected standard deviation levels.
Aligning price action with significant times like London or NY Open.
Note: This indicator provides a visual framework; it does not offer trade signals or interpretations.
🟪 Key Information
Time Zone: New York time (ET) is required on your chart.
Sessions: Supports multiple sessions, including NY midnight, NY AM, NY PM, and three custom timeframes.
Time Interval: Supports multi-timeframe up to 15 minutes. Best used on a 1-minute chart for accuracy.
🟪 Session Options
The Opening Range interval is configurable for up to 6 sessions:
Pre-defined ICT Sessions:
NY Midnight: 12:00 AM – 12:30 AM ET
NY AM: 9:30 AM – 10:00 AM ET
NY PM: 1:30 PM – 2:00 PM ET
Custom Sessions:
Three user-defined start/end time pairs.
This example shows a custom session from 03:30 - 04:00:
🟪 Understanding the Levels
The Opening Price is the open of the first 1-minute candle within the chosen session.
At session close, the Opening Range is calculated using its High and Low . An optional swing-based mode uses swing highs/lows for range boundaries.
The range is divided into quadrants by its midpoint ( Consequent Encroachment or CE):
Upper Quadrant: CE to high (premium).
Lower Quadrant: Low to CE (discount).
These subdivisions help visualize internal range dynamics, where price often reacts during algorithmic delivery.
🟪 Working with Ranges
By default, the range is determined by the highest high and lowest low of the 30-minute session:
A range can also be determined by the highest/lowest swing points:
Quadrants outline the premium and discount of a range that price will reference:
Small ranges still follow the same algorithmic logic, but may be deemed insignificant for one's trading. These can be filtered in the settings by specifying a minimum ticks limit. In this example, the range is 42 ticks (10.5 points) but the indicator is configured for 80 ticks (20 points). We can select which levels will plot if the range is below the limit. Here, only the 00:00 opening price is plotted:
You may opt to include the range high/low, quadrants, and projections as well. This will plot a red (configurable) range bracket to indicate it is below the limit while plotting the levels:
🟪 Price Projections
Projections extend beyond the Opening Range using standard deviations, framing the market beyond the initial session and identifying potential targets. You define the standard deviation multiples (e.g., 1.0, 1.5, 2.0).
Both positive and negative extensions are displayed, symmetrically projected from the range's high and low.
The Dynamic Levels option plots only the next projection level once price crosses the previous extreme. For example, only the 0.5 STDEV level plots until price reaches it, then the 1.0 level appears, and so on. This continues up to your defined maximum projections, or indefinitely if standard deviations are set to 0.
This example shows dynamic levels for a total of 6 sessions, only 1 of which meet a configured minimum limit of 50 ticks:
Small ranges followed by significant displacement are impacted the most with the number of levels plotted. You may hide projections when configuring the minimum ticks.
A fixed standard deviation will plot levels in both directions, regardless of the price range. Here, we plot up to 3.0 which hiding projections for small ranges:
🟪 Legal Disclaimer
This indicator is provided for informational and educational purposes only. It is not financial advice, and should not be construed as a recommendation to buy or sell any financial instrument. Trading involves substantial risk, and you could lose a significant amount of money. Past performance is not indicative of future results. Always consult with a qualified financial professional before making any trading or investment decisions. The creators and distributors of this indicator assume no responsibility for your trading outcomes.
Quick Analysis [ProjeAdam]OVERVIEW:
The Quick Analysis indicator is a multi-symbol technical screener that aggregates key indicator values—RSI, TSI, ADX, and Supertrend—for up to 30 different symbols. It displays the data on a customizable dashboard table overlaid on the chart, enabling traders to quickly compare market conditions across multiple assets.
ALGORITHM:
1. Initialization and Input Setup
The script sets the indicator’s title, short title, and overlay option.
It configures the dashboard table by allowing users to toggle its display, set its position (e.g., Bottom Right), and choose its size.
Input parameters for the technical indicators (RSI, TSI, ADX, Supertrend) are defined.
Up to 30 symbols are provided with toggle options so that users can select which ones to include in the analysis.
2. Technical Indicator Calculations
Custom functions are defined to smooth data for TSI (using double EMA smoothing) and to calculate ADX based on directional movements.
The main function, which runs on each symbol via request.security, computes:
RSI based on the close price.
TSI using the change in price and smoothing techniques.
ADX by comparing positive and negative directional movements.
Supertrend to signal market direction changes.
3. Data Aggregation and Matrix Formation
A matrix is created to store the aggregated values (price, RSI, TSI, ADX, Supertrend) for each symbol.
For each enabled symbol, a custom function retrieves the current indicator values and adds them as a row to the matrix.
4. Table Visualization and Dynamic Updates
A dashboard table is initialized with user-defined location and size settings.
The table headers include “SYMBOL”, “PRICE”, “RSI”, “TSI”, “ADX”, and “Supertrend”.
For every row in the matrix, the table is updated with the corresponding data:
The symbol code is extracted and displayed.
The current price and computed indicator values are shown.
Conditional formatting is applied (RSI and TSI cells change color based on threshold levels, Supertrend is marked with “Down 📛” or “Up 🚀”).
5. Real-Time Data Updates
The table refreshes on every new bar, ensuring that the displayed data remains current and reflects the latest market conditions across the selected symbols.
INDICATOR SUMMARY: RSI, TSI, ADX, and Supertrend
RSI (Relative Strength Index): Measures the speed and change of price movements, oscillating between 0 and 100. Typically, values above 70 indicate overbought conditions, while values below 35 indicate oversold conditions.
TSI (True Strength Index): Uses double EMA smoothing to measure price momentum and helps identify trend strength and potential reversal points.
ADX (Average Directional Index): Measures the strength of a trend, regardless of its direction. Higher values suggest a strong trend, while lower values indicate a weak trend.
Supertrend: A trend-following indicator based on the Average True Range (ATR) that identifies the market direction and potential support/resistance levels. It typically displays visual signals such as “Up 🚀” or “Down 📛.”
HOW DOES THE INDICATOR WORK?
Data Gathering: Uses TradingView’s security function to request real-time data for multiple symbols simultaneously.
Indicator Computation: For each symbol, the script calculates RSI, TSI, ADX, and Supertrend using a blend of built-in Pine Script functions and custom smoothing algorithms.
Visualization: A dynamically updated table displays the results with conditional colors and symbols for immediate visual cues on market trends and potential trade signals.
SETTINGS PANEL
Dashboard Configuration: Options to toggle the Trend Table, select its position, and determine the table size.
Indicator Parameters: Customizable settings for RSI (length, overbought/oversold levels), TSI (smoothing lengths and thresholds), ADX (smoothing and DI length), and Supertrend (ATR length and factor).
Symbol Management: Enable/disable switches for each of the 30 symbols along with symbol input fields, allowing users to choose which assets to analyze.
BENEFITS OF THE QUICK ANALYSIS INDICATOR
Comprehensive Market Overview:
Aggregates key technical metrics for multiple symbols on a single chart.
Customizability and Flexibility:
Fully configurable dashboard and indicator settings allow tailoring to various trading strategies.
Time Efficiency:
Automates the process of monitoring multiple assets, saving traders time and effort.
Visual Clarity:
Conditional color coding and clear table formatting provide immediate insights into market conditions.
Enhanced Multi-Market Analysis:
The ability to toggle and compare up to 30 different symbols supports diversified market evaluation.
CUSTOMIZATION
Users can modify indicator periods, thresholds, and table aesthetics through the input panel.
The symbol selection mechanism enables dynamic analysis across various markets, facilitating comparative insights and strategic decision-making.
CONCLUSION
The Quick Analysis indicator serves as a powerful, multi-symbol screener for traders by consolidating crucial technical indicators into a single, easy-to-read dashboard. Its dynamic updates, extensive customization options, and clear visual representation make it an essential tool for real-time market analysis.
If you have any ideas to further enhance this tool—whether by integrating additional sources, refining calculations, or adding new features—please feel free to suggest them in DM.
CandelaCharts - OHLC Range Map 📝 Overview
Explore the intricate art of candlestick analysis with the OHLC Range Map!
Elevate your TradingView experience by integrating this dynamic tool into your trading strategies with actionable insights. This cutting-edge indicator transcends standard OHLC visuals, leveraging Inner Circle Trader (ICT) concepts to dissect accumulation, manipulation, and distribution on a candle-by-candle basis.
ICT traders recognize manipulation through the wick extending opposite the candle’s close. This movement often serves to mislead market participants into taking positions in the "wrong" direction, signaling potential manipulation legs. Analysts can use these insights to anticipate a candle’s distribution phase. During distribution, price extends to higher or lower levels, offering key clues for identifying liquidity draws, potential retracements, or reversals.
These levels offer valuable insights into order flow, highlighting how price interacts with them and the sequence of its delivery.
To enhance price mapping, the tool also charts the average timing for the completion of manipulation and distribution phases. This feature empowers traders to combine historical timing patterns with the price levels associated with manipulation and distribution for a deeper analysis.
Like all tools based on historical data, this indicator does not guarantee that past patterns will replicate in future market conditions. Designed with a data-driven edge, it highlights moments when candles are likely to reverse following manipulation phases or retrace after completing defined distributions, helping analysts spot potential turning points.
📦 Features
This tool offers a range of powerful features to enhance your trading analysis:
Average Range Accuracy : Simplify candlestick analysis with advanced lines and labels to pinpoint manipulation, distribution, and time pivots. Graph average ranges for your chosen timeframe to navigate market volatility and uncover key support and resistance zones.
Custom Timeframe Selection : Align your analysis with your trading strategy by choosing a timeframe that highlights the candle’s manipulation, distribution, and key timing.
Real-time Data Feed : Stay updated with live candlestick stats, with each new candle updating OHLC data and performing ongoing historical calculations, even on sub-minute timeframes.
Historical Mapping : Backtest past market scenarios with ease using the historical mapping feature. Traders can revisit and analyze previous data, refine strategies, and customize label displays for journaling flexibility.
User-Friendly Interface : Designed for advanced traders, the intuitive interface allows easy navigation and customization of display settings, offering a personalized experience for data-driven analysis.
⚙️ Settings
Timeframe: Sets the timeframe to which will be drawn.
Period: Controls period length in days.
Algorithm: Sets the desired calculation algorithm.
History: Display Range Map drawings for previous sessions.
Timezone: Dsiplay the data based on the selected timezone.
Use NY Midnight Open: Controls from where a Range Map will start detection.
Opn: Style for Open line.
Man: Style for Manipulation line.
Dis: Style for Distribution line.
Time: Style for Timeline.
Labels: Controls the size and abbreviations.
Line Position: Manage the Range Map line position
Table Position: Manage the Range Map table position
⚡️ Showcase
Here’s a visual showcase of the tool in action, highlighting its key features and capabilities:
Manipilation & Distribution
Time
📒 Usage
Here’s how you can use the OHLC Range Map to enhance your analysis:
Add OHLC Range Map to your Tradingview chart.
Select a timeframe and customize the styles to fit your preferences.
Watch as calculated manipulation, distribution, and delivery times align with your analysis.
Combine this data with other models and insights to strengthen your trading strategy.
Example 1
Example 2
By following these steps, you'll unlock powerful insights to refine and elevate your trading strategies.
🔹 Notes
On Bullish candles:
Manipulation: Open - Low
Distribution: Open - High
On Bearish candles:
Manipulation: Open - High
Distribution: Open - Low
Available calculation methods:
Mean
Median
Price patterns on OHLC Range Map:
Open - -Man - +Dis
Open - -Man - Open - +Dis
Open - -Man - +Man - +Dis
Open - -Man - +Man - -Dis
Open - +Man - -Dis
Open - +Man - Open - -Dis
Open - +Man - -Man - -Dis
Open - +Man - -Man - +Dis
🚨 Alerts
The indicator does not provide any alerts!
⚠️ Disclaimer
These tools are exclusively available on the TradingView platform.
Our charting tools are intended solely for informational and educational purposes and should not be regarded as financial, investment, or trading advice. They are not designed to predict market movements or offer specific recommendations. Users should be aware that past performance is not indicative of future results and should not rely on these tools for financial decisions. By using these charting tools, the purchaser agrees that the seller and creator hold no responsibility for any decisions made based on information provided by the tools. The purchaser assumes full responsibility and liability for any actions taken and their consequences, including potential financial losses or investment outcomes that may result from the use of these products.
By purchasing, the customer acknowledges and accepts that neither the seller nor the creator is liable for any undesired outcomes stemming from the development, sale, or use of these products. Additionally, the purchaser agrees to indemnify the seller from any liability. If invited through the Friends and Family Program, the purchaser understands that any provided discount code applies only to the initial purchase of Candela's subscription. The purchaser is responsible for canceling or requesting cancellation of their subscription if they choose not to continue at the full retail price. In the event the purchaser no longer wishes to use the products, they must unsubscribe from the membership service, if applicable.
We do not offer reimbursements, refunds, or chargebacks. Once these Terms are accepted at the time of purchase, no reimbursements, refunds, or chargebacks will be issued under any circumstances.
By continuing to use these charting tools, the user confirms their understanding and acceptance of these Terms as outlined in this disclaimer.
Prediction Based on Linreg & Atr
We created this algorithm with the goal of predicting future prices 📊, specifically where the value of any asset will go in the next 20 periods ⏳. It uses linear regression based on past prices, calculating a slope and an intercept to forecast future behavior 🔮. This prediction is then adjusted according to market volatility, measured by the ATR 📉, and the direction of trend signals, which are based on the MACD and moving averages 📈.
How Does the Linreg & ATR Prediction Work?
1. Trend Calculation and Signals:
o Technical Indicators: We use short- and long-term exponential moving averages (EMA), RSI, MACD, and Bollinger Bands 📊 to assess market direction and sentiment (not visually presented in the script).
o Calculation Functions: These include functions to calculate slope, average, intercept, standard deviation, and Pearson's R, which are crucial for regression analysis 📉.
2. Predicting Future Prices:
o Linear Regression: The algorithm calculates the slope, average, and intercept of past prices to create a regression channel 📈, helping to predict the range of future prices 🔮.
o Standard Deviation and Pearson's R: These metrics determine the strength of the regression 🔍.
3. Adjusting the Prediction:
o The predicted value is adjusted by considering market volatility (ATR 📉) and the direction of trend signals 🔮, ensuring that the prediction is aligned with the current market environment 🌍.
4. Visualization:
o Prediction Lines and Bands: The algorithm plots lines that display the predicted future price along with a prediction range (upper and lower bounds) 📉📈.
5. EMA Cross Signals:
o EMA Conditions and Total Score: A bullish crossover signal is generated when the total score is positive and the short EMA crosses above the long EMA 📈. A bearish crossover signal is generated when the total score is negative and the short EMA crosses below the long EMA 📉.
6. Additional Considerations:
o Multi-Timeframe Regression Channel: The script calculates regression channels for different timeframes (5m, 15m, 30m, 4h) ⏳, helping determine the overall market direction 📊 (not visually presented).
Confidence Interpretation:
• High Confidence (close to 100%): Indicates strong alignment between timeframes with a clear trend (bullish or bearish) 🔥.
• Low Confidence (close to 0%): Shows disagreement or weak signals between timeframes ⚠️.
Confidence complements the interpretation of the prediction range and expected direction 🔮, aiding in decision-making for market entry or exit 🚀.
Español
Creamos este algoritmo con el objetivo de predecir los precios futuros 📊, específicamente hacia dónde irá el valor de cualquier activo en los próximos 20 períodos ⏳. Utiliza regresión lineal basada en los precios pasados, calculando una pendiente y una intersección para prever el comportamiento futuro 🔮. Esta predicción se ajusta según la volatilidad del mercado, medida por el ATR 📉, y la dirección de las señales de tendencia, que se basan en el MACD y las medias móviles 📈.
¿Cómo Funciona la Predicción con Linreg & ATR?
Cálculo de Tendencias y Señales:
Indicadores Técnicos: Usamos medias móviles exponenciales (EMA) a corto y largo plazo, RSI, MACD y Bandas de Bollinger 📊 para evaluar la dirección y el sentimiento del mercado (no presentados visualmente en el script).
Funciones de Cálculo: Incluye funciones para calcular pendiente, media, intersección, desviación estándar y el coeficiente de correlación de Pearson, esenciales para el análisis de regresión 📉.
Predicción de Precios Futuros:
Regresión Lineal: El algoritmo calcula la pendiente, la media y la intersección de los precios pasados para crear un canal de regresión 📈, ayudando a predecir el rango de precios futuros 🔮.
Desviación Estándar y Pearson's R: Estas métricas determinan la fuerza de la regresión 🔍.
Ajuste de la Predicción:
El valor predicho se ajusta considerando la volatilidad del mercado (ATR 📉) y la dirección de las señales de tendencia 🔮, asegurando que la predicción esté alineada con el entorno actual del mercado 🌍.
Visualización:
Líneas y Bandas de Predicción: El algoritmo traza líneas que muestran el precio futuro predicho, junto con un rango de predicción (límites superior e inferior) 📉📈.
Señales de Cruce de EMAs:
Condiciones de EMAs y Puntaje Total: Se genera una señal de cruce alcista cuando el puntaje total es positivo y la EMA corta cruza por encima de la EMA larga 📈. Se genera una señal de cruce bajista cuando el puntaje total es negativo y la EMA corta cruza por debajo de la EMA larga 📉.
Consideraciones Adicionales:
Canal de Regresión Multi-Timeframe: El script calcula canales de regresión para diferentes marcos de tiempo (5m, 15m, 30m, 4h) ⏳, ayudando a determinar la dirección general del mercado 📊 (no presentado visualmente).
Interpretación de la Confianza:
Alta Confianza (cerca del 100%): Indica una fuerte alineación entre los marcos temporales con una tendencia clara (alcista o bajista) 🔥.
Baja Confianza (cerca del 0%): Muestra desacuerdo o señales débiles entre los marcos temporales ⚠️.
La confianza complementa la interpretación del rango de predicción y la dirección esperada 🔮, ayudando en las decisiones de entrada o salida en el mercado 🚀.
Implied Volatility WallsThe Implied Volatility Walls (IVW) indicator is a powerful and advanced trading tool designed to help traders identify key market zones where price may encounter significant resistance or support based on volatility. Using implied volatility, historical volatility, and machine learning models, IVW provides traders with a comprehensive understanding of market dynamics. This indicator is especially useful for those who wish to forecast volatility-driven price movements and adjust their trading strategies accordingly.
How the Implied Volatility Walls (IVW) Works:
The Implied Volatility Walls (IVW) indicator uses a combination of historical price data and advanced machine learning algorithms to calculate key volatility levels and forecast future market conditions. It tracks cumulative volatility, identifies support and resistance zones, and detects liquidation bubbles to highlight critical price areas.
The main concept behind this tool is that price tends to move most of the time by the same amount, making it possible to average the past maximum excursion in order to obtain a validated area where traders can be able to see clearly that the price is moving more than normal.
This indicator primarily focuses on:
1. Volatility Zones: Potential support and resistance levels based on implied and historical volatility.
2. Machine Learning Volatility Forecast: A machine learning model that predicts high, medium, or low volatility for future market conditions.
3. Liquidation Detection: Highlights key areas of potential forced liquidations, where market participants may be forced out of their positions, often leading to significant price movements.
4. Backtesting and Win Rate: The indicator continuously monitors how effective its volatility-based predictions are, offering insights into the performance of its predictions.
Key Features:
1. Volatility Tracking:
- The IVW indicator calculates cumulative volatility by analyzing the range between the high and low prices over time. It also tracks volatility percentiles and separates the market conditions into high, medium, or low volatility zones, enabling traders to gauge how volatile the market is.
2. Volatility Walls (Upper and Lower Zones):
- Upper Volatility Wall (Red Zones): Represent resistance levels where the price might encounter difficulty moving higher due to excess in volatility. This zone is calculated based on the chosen percentile in the settings.
- Lower Volatility Wall (Blue Zones): Represent support levels where price may find buying support.
- These walls help traders visualize potential zones where reversals or breakouts could occur based on volatility conditions.
3. Machine Learning Forecast:
- One of the standout features of the IVW indicator is its machine learning algorithm that estimates future volatility levels. It categorizes volatility into high, medium, and low based on recent data and provides forecasts on what the next market condition is likely to be.
- This forecast helps traders anticipate market conditions and adapt their strategies accordingly. It is displayed on the chart as "Exp. Vol", providing insight into the future expected volatility.
4. VIX Adjustments:
- The indicator can be adjusted using the well-known **VIX (Volatility Index)** to further refine its volatility predictions. This enables traders to incorporate market sentiment into their analysis, improving the accuracy of the predictions for different market conditions.
5. Liquidation Bubbles:
- The Liquidation Bubbles feature highlights areas where large forced selling or buying events may occur, which are usually accompanied by spikes in volatility and volume. These bubbles appear when price deviates significantly from moving averages with substantial volume increases, alerting traders to potential volatile moves.
- Red dots indicate likely forced liquidations on the upside, and blue dots indicate forced liquidations on the downside. These bubbles can help traders spot moments of market stress and potential price swings due to liquidations.
6. Dynamic Volatility Zones:
- IVW dynamically adjusts support and resistance levels as market conditions evolve. This allows traders to always have up-to-date and relevant information based on the latest volatility patterns.
7. Cumulative Volatility Histogram:
- At the bottom of the chart, the purple histogram represents cumulative volatility over time, giving traders a visual cue of whether volatility is building up or subsiding. This can provide early signals of market transitions from low to high volatility, aiding traders in timing their entries and exits more accurately.
8. Backtesting and Win Rate:
- The IVW indicator includes a backtesting function that monitors the success of its volatility predictions over a selected period. It shows a Win Rate (WR) percentage (with 33% meaning that the machine learning algorithm does not bring any edge), representing how often the indicator's predictions were correct. This metric is crucial for assessing the reliability of the model’s forecasts.
9. Opening Range:
- At the beginning of a new session, the indicator will plot two lines indicating the high and the low of the first candle of the new time frame chosen.
Chart Breakdown:
Below is a description of what users see when using the Implied Volatility Walls (IVW) indicator on the chart:
Volatility Walls:
- Red shaded zones at the top represent upper volatility walls (resistance zones), while blue shaded zones at the bottom represent lower volatility walls (support zones). These areas show where price is likely to react due to high or low volatility conditions.
Liquidation Bubbles:
- Red and blue dots plotted above and below the price represent **liquidation bubbles**, indicating moments of market stress where volatility and volume spikes may force market participants to exit positions.
Cumulative Volatility Histogram:
- The purple histogram at the bottom of the chart reflects the buildup of cumulative volatility over time. Higher bars suggest increased volatility, signaling the potential for large price movements, while smaller bars represent calmer market conditions.
Real-Time Support and Resistance Levels:
- Solid and dashed lines represent current and historical support and resistance levels, helping traders identify price zones that have historically acted as volatility-driven turning points.
Gradient Bar Colors:
- The price bars change color based on their proximity to the volatility walls, with different colors representing how close the price is to these key levels. This color gradient provides a quick visual cue of potential market turning points.
Data Tables Explained:
Table 1: **Volatility Information Table (Top Right Corner):
- EV: Expected Volatility (based on the VIX FIX calculation from Larry Williams).
- +V and -V: Represents the adjusted volatility for upward (+V) and downward (-V) movements.
- Exp. Vol: Shows the expected volatility condition for the next period (High, Medium, or Low) based on the machine learning algorithm.
- WR: The Win Rate based on the backtesting of previous volatility predictions (three outcomes, so base Win rate is 33%, and not 50%).
Table 2: Expected Cumulative Range (Top Right Corner of the separated pane):
- Exp. CR: Expected Cumulative Range based on a machine learning algorithm that calculate the most likely outcome (cumulative range) based on the past days and metrics.
How to Use the Indicator:
1. Identify Key Support and Resistance Levels:
- Use the upper (red) and lower (blue) volatility walls to identify zones where the price is likely to face resistance or support due to volatility dynamics.
2. Forecast Future Volatility:
- Pay attention to the Expected Vol field in the table to understand whether the machine learning model predicts high, medium, or low volatility for the next trading session.
3. Monitor Liquidation Bubbles:
- Watch for red and blue bubbles as they can signal significant market events where volatility and volume spikes may lead to sudden price reversals or continuations.
4. Use the Histogram to Gauge Market Conditions:
- The cumulative volatility histogram shows whether the market is entering a high or low volatility phase, helping you adjust your risk accordingly and making you able to identify the potential of the rest of the chosen session.
5. Backtesting Confidence:
- The Win Rate (WR) provides insight into how reliable the indicator’s predictions have been over the backtested period, giving you additional confidence in its future forecasts, remember that considering the 3 scenarios possible (high volatility, medium and low volatility), the standard win rate is 33%, and not 50%!.
Final Notes:
The Implied Volatility Walls (IVW) indicator is a powerful tool for volatility-based analysis, providing traders with real-time data on potential support and resistance levels, liquidation bubbles, and future market conditions. By leveraging a machine learning model for volatility forecasting, this tool helps traders stay ahead of the market’s volatility patterns and make informed decisions.
Disclaimer: This tool is for educational purposes only and should not be solely relied upon for trading decisions. Always perform your own research and risk management when trading.
RSI with Swing Trade by Kelvin_VAlgorithm Description: "RSI with Swing Trade by Kelvin_V"
1. Introduction:
This algorithm uses the RSI (Relative Strength Index) and optional Moving Averages (MA) to detect potential uptrends and downtrends in the market. The key feature of this script is that it visually changes the candle colors based on the market conditions, making it easier for users to identify potential trend swings or wave patterns.
The strategy offers flexibility by allowing users to enable or disable the MA condition. When the MA condition is enabled, the strategy will confirm trends using two moving averages. When disabled, the strategy will only use RSI to detect potential market swings.
2. Key Features of the Algorithm:
RSI (Relative Strength Index):
The RSI is used to identify potential market turning points based on overbought and oversold conditions.
When the RSI exceeds a predefined upper threshold (e.g., 60), it suggests a potential uptrend.
When the RSI drops below a lower threshold (e.g., 40), it suggests a potential downtrend.
Moving Averages (MA) - Optional:
Two Moving Averages (Short MA and Long MA) are used to confirm trends.
If the Short MA crosses above the Long MA, it indicates an uptrend.
If the Short MA crosses below the Long MA, it indicates a downtrend.
Users have the option to enable or disable this MA condition.
Visual Candle Coloring:
Green candles represent a potential uptrend, indicating a bullish move based on RSI (and MA if enabled).
Red candles represent a potential downtrend, indicating a bearish move based on RSI (and MA if enabled).
3. How the Algorithm Works:
RSI Levels:
The user can set RSI upper and lower bands to represent potential overbought and oversold levels. For example:
RSI > 60: Indicates a potential uptrend (bullish move).
RSI < 40: Indicates a potential downtrend (bearish move).
Optional MA Condition:
The algorithm also allows the user to apply the MA condition to further confirm the trend:
Short MA > Long MA: Confirms an uptrend, reinforcing a bullish signal.
Short MA < Long MA: Confirms a downtrend, reinforcing a bearish signal.
This condition can be disabled, allowing the user to focus solely on RSI signals if desired.
Swing Trade Logic:
Uptrend: If the RSI exceeds the upper threshold (e.g., 60) and (optionally) the Short MA is above the Long MA, the candles will turn green to signal a potential uptrend.
Downtrend: If the RSI falls below the lower threshold (e.g., 40) and (optionally) the Short MA is below the Long MA, the candles will turn red to signal a potential downtrend.
Visual Representation:
The candle colors change dynamically based on the RSI values and moving average conditions, making it easier for traders to visually identify potential trend swings or wave patterns without relying on complex chart analysis.
4. User Customization:
The algorithm provides multiple customization options:
RSI Length: Users can adjust the period for RSI calculation (default is 4).
RSI Upper Band (Potential Uptrend): Users can customize the upper RSI level (default is 60) to indicate a potential bullish move.
RSI Lower Band (Potential Downtrend): Users can customize the lower RSI level (default is 40) to indicate a potential bearish move.
MA Type: Users can choose between SMA (Simple Moving Average) and EMA (Exponential Moving Average) for moving average calculations.
Enable/Disable MA Condition: Users can toggle the MA condition on or off, depending on whether they want to add moving averages to the trend confirmation process.
5. Benefits of the Algorithm:
Easy Identification of Trends: By changing candle colors based on RSI and MA conditions, the algorithm makes it easy for users to visually detect potential trend reversals and trend swings.
Flexible Conditions: The user has full control over the RSI and MA settings, allowing them to adapt the strategy to different market conditions and timeframes.
Clear Visualization: With the candle color changes, users can quickly recognize when a potential uptrend or downtrend is forming, enabling faster decision-making in their trading.
6. Example Usage:
Day traders: Can apply this strategy on short timeframes such as 5 minutes or 15 minutes to detect quick trends or reversals.
Swing traders: Can use this strategy on longer timeframes like 1 hour or 4 hours to identify and follow larger market swings.
Arithmetic Candlesticks (Zeiierman)█ Arithmetic Candlestick - Overview
Arithmetic Candlesticks (Zeiierman) introduce a new way to read charts by applying logical arithmetic to real price data. These candlesticks focus on filtering out noise and smoothing price movements using a bell-shaped curve, which helps to refine the data and highlight the true trend. This approach provides a clearer view of market trends, allowing traders to interpret price action more effectively with minimal lag and distraction.
⚪ What is Arithmetic Candlesticks
Arithmetic Candlesticks use a calculation method rooted in the idea that the market moves in patterns that can be identified and predicted by examining past price movements.
Analyzing momentum, price action, and trend patterns is useful for traders who want to quickly scan and identify price patterns, trends, and momentum in the market. The system searches for these patterns and trends to anticipate future price movements. Traders and investors can identify trends hidden in market noise, enabling them to uncover trading opportunities that might not be immediately obvious to the naked eye.
⚪ Eliminates price noise
The Arithmetic Candlestick noise filtering function is used to reduce price noise, which is the randomness in the price movement of an asset caused by market participants trading on a short-term basis. The idea behind the filter is that it eliminates the impact of short-term fluctuations in the price, thus providing a more accurate picture of the overall trend.
█ Capturing Trends with precise chart reading
Trend moves are some of the biggest moneymakers in trading; in fact, trading in the direction of the trend reduces risk and increases profit potential. Arithmetic Candlestick helps traders do just that.
In a fast-moving and volatile market characterized by high-frequency algorithms, retail traders have a hard time distinguishing the real trend from the noise. Arithmetic Candlesticks are designed to filter out the noise created by insignificant price moves and leave traders with the price action that matters, namely a clear and insightful chart reading. Due to its sophisticated mathematical calculations, Arithmetic Candlesticks are able to analyze any market and timeframe.
█ How to use Arithmetic Candlesticks
Arithmetic Candlesticks is an all-in-one trend and momentum tool that can be used stand-alone or in conjunction with other indicators. Its primary use is to provide a clear chart reading, easily identify trends, and help traders stay longer in trends.
The indicator includes excellent momentum features that offer insights into the current momentum and the strength of the price action. This provides traders with a unique chart experience that yields valuable insights. The indicator boasts numerous features, each of which can be used stand-alone or in combination with others. Read more about the features below.
These candles can be used in conjunction with other indicators such as support/resistance, trendlines, ICT trading, and other patterns.
█ Arithmetic Candlesticks features
The indicator comes with tons of great features that make the indicator into its own system that can be used stand-alone. You find everything from trend reading, entry/exit points, identifying momentum, and auto-stop loss.
⚪ Candle Modes:
Traders can select from three different types of arithmetic candle calculations and enable our volatility-adjusted filter for all of them. By default, the candles are set to Arithmetic candlesticks. However, depending on their trading preferences, users can select Arithmetic + Heikin Ashi Candles or Impulse + Wicks Candles.
The Heikin Ashi mode of the candlesticks makes the indicator smoother and more trend-friendly.
The Impulse + Wick mode of the candlesticks makes the indicator responsive to momentum. The length of the wicks represents the strength of the current momentum. The longer the wicks, the greater the momentum in the market.
If traders enable the Volatility Adjusted candles , the indicator becomes much more responsive to volatility moves, which is a way of making the candlesticks more responsive to significant price movements.
⚪ Trend coloring
Arithmetic candlesticks come in three different color modes: the default one, the gradient one, and the advanced trend coloring. Enable the Trend coloring if you want to engage in long-term trend trading. This filter does not change the arithmetic candlesticks, only the bar coloring.
⚪ Buy and Sell signals
To make trend trading easier to understand, we have included Buy/Sell signals. These signals are based both on the type of candlesticks selected and the type of coloring used. In addition, they come with three filters and are available in scalping and trend modes.
Candle Color Filter: A buy signal will only occur if the candlesticks are bullish, and a sell signal will only occur if the candlesticks are bearish.
Trend Tracker Filter: A buy signal will only occur if the Trend Tracker is bullish, and a sell signal will only occur if the Trend Tracker is bearish.
When both filters are applied, it means that both the candle color and the Trend Tracker should have the same sign in order to trigger a signal.
These filters are very effective and should be used when utilizing the signals.
Take Profit signals can be enabled to help traders know when to take profits.
Adaptive Stop Loss can be enabled for the signals, helping traders manage their risk.
⚪ Trend Tracker
The Trend Tracker line provides insights about the underlying trend. Adjust it if you want to engage in scalping, which makes the line much more responsive. Set the underlying speed of the trend to either Fast or Slow. This Trend Tracker works well in conjunction with Arithmetic Candlesticks and the associated signals.
⚪ Trend Sentiment
Enable Trend Sentiment to identify the levels at which the market is considered bullish or bearish. This feature helps you gauge the overall market direction, allowing you to align your trades with the prevailing trend. The Trend Sentiment also measures the strength of the trend, highlighting whether the current price action reflects a strong or weak trend. Adjust the sensitivity to determine how early or late you want to capture these trend signals.
⚪ Impulse
Enable Impulse Signals to understand when the market is making a significant move, often leading to a pullback or pause. These Impulse Signals can indicate the very start of a trend or serve as the first sign of a reversal. Enable 'Significant Impulses' if you only want to display the most significant market impulses.
█ How is Arithmetic Candlesticks Calculated?
⚪ Candlesticks
These candlesticks combine advanced smoothing techniques with price pattern recognition, giving traders a clearer view of market dynamics.
Adaptive Smoothing: The core of this smoothing approach is its ability to adjust dynamically based on market conditions. It reduces lag while staying responsive to price changes. This adaptive nature allows the candlesticks to follow the price action smoothly, minimizing the influence of short-term fluctuations. As a result, the trend is depicted with greater accuracy, helping traders to stay in tune with the market’s true direction.
Refined Smoothing with Weighted Averages: Another key component of the smoothing process involves applying a refined technique that uses a bell-shaped curve to weight price data. This method reduces the impact of outlier movements, resulting in a smoother, more continuous curve that accurately represents the market's central trend. This ensures that the candlesticks reflect a more balanced view of price action, focusing on the significant movements while filtering out unnecessary noise.
⚪ Trend Coloring
The Trend Coloring feature offers a powerful visualization tool that helps traders quickly identify the prevailing market trend and its strength. By analyzing market structure and the velocity of price movements, this feature provides a clear, dynamic view of the long-term trend direction.
Market Structure Analysis: The Trend Coloring is rooted in a thorough analysis of market structure, focusing on key price levels over time. By evaluating these levels, the system determines whether the market is in an uptrend, downtrend, or ranging phase. This information is then used to color the chart according to the current trend direction, providing a visual cue that makes it easier to align your trades with the broader market movement.
Velocity of Price Movements: . In addition to identifying the trend direction, the system also calculates the velocity of price movements. This involves assessing how quickly or slowly prices are advancing in a particular direction, offering deeper insight into the trend's strength and momentum. Faster price movements suggest a stronger trend, while slower movements may indicate a weakening or consolidating market. This dynamic approach ensures that the Trend Coloring not only highlights the trend but also reflects its intensity and potential sustainability.
⚪ Buy and Sell signals
The Buy/Sell signals are generated using a sophisticated approach that tracks key price action levels to determine market direction and momentum. This method constantly evaluates the relationship between the current price and dynamically adjusting levels that reflect the underlying market conditions. By staying in tune with the flow of the market, this approach effectively captures the onset of new trends while reducing the lag typically associated with traditional indicators.
Dynamic Price Action Levels: The signals are based on critical price action levels that adapt in real-time to market movements. These levels serve as flexible thresholds that help identify potential buy or sell opportunities. When the price interacts with these levels, it triggers signals that indicate possible entry or exit points, aligning your trades with the prevailing market direction.
Price Patterns: The algorithm also recognizes and integrates specific price patterns that are often precursors to significant market moves. By identifying these patterns, the system can anticipate changes in market direction more accurately, enabling earlier and more precise signals. This helps in capturing trend reversals or continuations effectively.
Momentum-Driven Adjustments: The system's price action levels are not static; they adjust dynamically in response to strong price movements. This ensures that the signals are not only timely but also in sync with the underlying market momentum, making the system highly effective in volatile conditions where quick decision-making is crucial.
⚪ Trend Tracker
The Trend Tracker utilizes the core principles of Arithmetic Candlesticks, including their sophisticated smoothing techniques and pattern recognition capabilities. By leveraging these features, the Trend Tracker effectively filters out market noise, allowing it to present a smooth and accurate representation of the current trend. This makes it easier to identify whether the market is trending upwards, downwards, or entering a period of consolidation.
Adaptive to Market Conditions: The Trend Tracker is not static; it dynamically adjusts as market conditions change. Whether the market is experiencing high volatility or moving through a quieter phase, the Trend Tracker remains responsive, continuously updating to reflect the most recent price action. This ensures that traders are always working with the most relevant information, making it easier to stay in sync with the market's true direction.
⚪ Trend Sentiment
Trend Sentiment analyzes key price levels and market structure to determine whether the current market sentiment is bullish or bearish. By examining the direction and momentum of price movements, it provides a straightforward view of the market's overall trend direction.
⚪ Impulse
Impulse monitors the market for sudden shifts in momentum, recognizing when the price is making a strong move that could lead to a trend continuation or a reversal. The feature is tuned to distinguish between regular market fluctuations and significant impulses. It focuses on the most meaningful price movements, ensuring that the signals you receive are relevant and actionable.
█ Important Note
Caution! Arithmetic candlesticks do not always reflect the actual price. Arithmetic uses smoothing and noise filtering to capture trends; hence, it might deviate from the actual close.
It's important to understand that Arithmetic Candlesticks are intended to provide a clearer picture of trend direction rather than exact price levels. Therefore, they should not be used as a substitute for actual market prices, especially in scenarios like backtesting or precise trade execution where exact price data is crucial. Instead, use Arithmetic Candlesticks as a tool for understanding trends and overall market direction, while relying on actual price data for decisions that require precise price points.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. 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.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Consolidation Range Detector [Pt]█ Author's Note:
After extensively reviewing the existing consolidation detection tools in the TradingView library, I found that none fully met my expectations. Some tools were overly sensitive, producing too many invalid ranges, while others lacked the necessary sensitivity. Consequently, I decided to develop my own tool. I hope that you, fellow traders, find it valuable and enjoy using it.
█ Description:
The Consolidation Range Detector is a sophisticated TradingView tool designed to identify and visualize periods of price consolidation on any financial chart. This indicator employs advanced algorithms to detect ranges where price movements are confined, helping traders spot potential breakout zones and make informed trading decisions.
█ Key Features:
► Customizable Detection Sensitivity: Adjust the sensitivity of the detection algorithm to suit your trading strategy, ensuring a precise fit within the consolidation range.
► Dynamic Coloring: Choose between random or fixed colors for the consolidation ranges, with options to match different background color schemes (Dark, Light, Neutral).
► Visual Clarity: Highlight detected consolidation ranges directly on the chart with customizable color schemes to enhance visibility and provide clear visual cues.
► ATR-Based Validation: Ensures detected consolidation ranges are significant and reliable by using the Average True Range (ATR) for validation.
█ User-Defined Inputs:
► Minimum Detection Bars: Set the minimum number of bars required to detect a consolidation range.
► Max Range Multiplier: Define the maximum range for detection as a multiple of the ATR.
► Detection Sensitivity: Adjust the sensitivity of the detection algorithm. Higher values mean a tighter fit within the consolidation range.
► Color Options: Choose the color for the consolidation range boxes and decide whether to use random colors.
► Color Scheme (Background): Select a color scheme for the chart background (Dark, Light, Neutral).
█ How It Works:
► Range Detection: The indicator scans the chart for potential consolidation ranges based on user-defined parameters. It calculates the average price and ATR to determine the significance of the range.
► Validation: Each detected range is validated based on criteria such as ATR threshold, range validity, average price comparison, and the number of touches at the range boundaries.
► Visualization: Validated ranges are highlighted on the chart with colored boxes, providing a clear visual cue of potential consolidation zones.
█ Usage Examples:
► Example 1:
The image below showcases the Consolidation Range Detector in action on a chart of S&P 500 E-mini Futures. The indicator highlights several consolidation ranges with different colors, demonstrating its ability to adapt to varying market conditions and visually emphasize key areas of price consolidation. The annotations for breakouts and price reactions are manually marked to illustrate the practical application of the tool in identifying potential trading opportunities based on these key areas.
█ Practical Applications:
► Identify Breakout Zones: Use the detected consolidation ranges to identify potential breakout zones, helping to anticipate significant price movements.
► Identify Key Price Levels: The tool helps in pinpointing key price levels where there is a high probability of significant price reactions, providing crucial insights for trading strategies.
► Enhance Technical Analysis: Integrate the Consolidation Range Detector into your existing technical analysis toolkit to improve the accuracy of your trading decisions.
█ Conclusion:
The Consolidation Range Detector is a powerful tool for traders looking to identify periods of price consolidation and potential breakout zones. With its customizable settings and advanced detection algorithms, it provides a reliable and visual method to enhance your trading strategy. Whether you're a beginner or an experienced trader, this indicator can add significant value to your technical analysis.
█ Cautionary Note:
While the Consolidation Range Detector is a powerful tool, it's important to combine it with other indicators and analysis methods for comprehensive trading decisions. Always consider market context and external factors when interpreting detected consolidation ranges.
MTF Workbench [WinWorld]WHAT IS THIS?
This is MTF Workbench — an indicator, which is based on World Class SMC, but has one main feature — multi-timeframe analysis.
WHY MAKING MTF FEATURE AS A SEPARATE INDICATOR?
We weren't able to implement this feature in the World Class SMC itself due to huge size and complexity of the script, so we have re-written the entire script and optimized it to implement MTF and decided to make a separate script for MTF features in order to not make World Class SMC any heavier, because otherwise the script would probably not even load up on the chart.
WHAT ARE THE FEATURES?
MTF Workbench has two features for now: dashboard and structure mapping. But there will be more soon!
DASHBOARD
Dashboard gathers data from 4 different timeframes and visualize the results in the nice little table on the chart. It is useful to have a dashboard because it visualizes important data in a simple way.
The settings of the dashboard are:
- Position. this settings has 2 subsettings: vertical position (bottom, middle, top) and horizontal position (left, center, right). These subsettings allow you to place dashboard on any side of the chart;
- Text size. This settings defines size of the text in the dashboard, simple as that;
- Timeframe #1, #2, ..., #4. These four settings allow you to choose 4 different timeframes for the table to gather data from.
How to read the dashboard:
- The colour of the specific data cell is the current trend of selected timeframe;
- IDM ⧖ — price has not reached IDM yet;
- IDM ✓ — price grabbed IDM.
This is it for dashboard, now for structure mapping.
STRUCTURE MAPPING
By structure we mean IDM, BoS and ChoCh (if you don't what this means, refer to World Class SMC description to learn the terms, we won't explain it here). In our main indicator structure was only drawn for the timeframe you were currently using, but now you can choose whatever timeframe you want to get structure from!
Why do this matter? Well, this feature alone allows to perform so called intern-structure analysis, because now you will able to compare current timeframe's structure to a higher timeframe's structure and get an a sufficient amount of edge about what Smart Money are doing.
* And yes, this feature only works for analyzing higher timeframes!
The structure itself is plotted the same way as it is in our main indicator, but we also add timeframe to the specific structure event (event is when price reaches IDM, BoS or ChoCh lines) so you could differentiate internal-structure events from any other events.
Live structure is also available in this indicator.
WHY USE THIS INDICATOR?
Even though there a lot of structure mapping indicators with MTF features, they don't have what MTF Workbench has — the correct core structure-mapping algorithm. We took our core structure-mapping algorithm and put it into MTF Workbench to finally bring MTF analysis to life to work state-of-the-art structure-mapping algorithm, which gives any user a huge edge in the market by a very simple reason — this algorithm actually works. Our algorithm proved itself to be efficient and it helps map structure without human intervention, which is a huge leap in smart money trading. To this day we were not able to find an algorithm which would match the quality of our algo! Which why we think making an MTF version of our algorithm is a good thing to do, because now users can finally work with current timeframe and see information about structure from other timeframes using only ONE chart. If you are smart-money trader, you understand that this is a HUGE thing.
For PineScript moderators
We know the rule not publish slightly modifie version of some indicator as another indicator, but this is not a slightly different version. MTF Workbench was completely re-writtten from scratch and optimized so it could fint PineSript's code restrictions such as 500 max local scopes, which World Class SMC with MTF Workbench's features exceeded way too far.
Also, by referencing our World Class SMC indicator we don't promote it in any way. The reference is only made with purposes of
1) Informational reference to help users learn specific terms.
2) Informational reference to some of the World Class SMC features to give users a clue about what exactly MTF Workbench does.
We hope that you will find a great use from MTF Workbench as we did and it will help your level up your edge!
Sincerely, WinWorld Team.
Automating wealth creation since 2022.
Volume ForecastThe Volume Forecast indicator on TradingView is a comprehensive tool designed to analyze historical price action and project future market movements based on the average sizes of candles. Incorporating various data points such as candle high/low, open/close, and real volumes, Volume Forecast provides traders with a holistic view of market dynamics, allowing for more informed decision-making.
Key Features:
Multi-Data Source Analysis:
Volume Forecast seamlessly integrates multiple data sources, including candle high/low, open/close prices, and real volumes. By considering these diverse elements, the indicator offers a nuanced understanding of market conditions.
Historical Candle Size Analysis:
The indicator conducts a thorough analysis of historical candle sizes, capturing key data points to calculate the average candle size over a specified period. This historical context serves as the foundation for forecasting future candle sizes.
Customizable Forecasting Parameters:
Traders have the flexibility to fine-tune forecasting parameters to align with their trading strategies. Whether focusing on open/close relationships, high/low points, or real volumes, users can customize the indicator to suit their preferences.
Predictive Algorithm:
Volume Forecast employs a sophisticated predictive algorithm that leverages historical candle size data to project the potential size of upcoming candles. This algorithmic approach enhances the indicator's accuracy in forecasting market movements.
Visual Clarity:
The indicator provides a clear visual representation on the TradingView chart, displaying historical candle sizes and forecasted values. Color-coded elements and visual cues help traders quickly interpret the data, facilitating timely decision-making.
Adaptive Real-Time Updates:
Volume Forecast dynamically updates in real-time, ensuring traders have access to the latest information. This adaptability allows for swift adjustments to trading strategies in response to changing market conditions.
Comprehensive Market Compatibility:
Whether trading stocks, forex, cryptocurrencies, or commodities, Volume Forecast is compatible across various financial instruments and timeframes. This versatility makes it a valuable asset for traders in different markets.
User-Friendly Interface:
With an intuitive interface, Volume Forecast is accessible to traders of all experience levels. The indicator's user-friendly design streamlines the analysis process, making it easier for traders to incorporate it into their trading routines.
In summary, Volume Forecast is a robust TradingView indicator that combines historical candle size analysis with advanced forecasting techniques. By incorporating multiple data sources and offering customization options, it empowers traders to make more informed decisions in anticipation of market movements. Whether used independently or in conjunction with other tools, Volume Forecast is a valuable asset for traders seeking a comprehensive understanding of market dynamics.
Grid by Volatility (Expo)█ Overview
The Grid by Volatility is designed to provide a dynamic grid overlay on your price chart. This grid is calculated based on the volatility and adjusts in real-time as market conditions change. The indicator uses Standard Deviation to determine volatility and is useful for traders looking to understand price volatility patterns, determine potential support and resistance levels, or validate other trading signals.
█ How It Works
The indicator initiates its computations by assessing the market volatility through an established statistical model: the Standard Deviation. Following the volatility determination, the algorithm calculates a central equilibrium line—commonly referred to as the "mid-line"—on the chart to serve as a baseline for additional computations. Subsequently, upper and lower grid lines are algorithmically generated and plotted equidistantly from the central mid-line, with the distance being dictated by the previously calculated volatility metrics.
█ How to Use
Trend Analysis: The grid can be used to analyze the underlying trend of the asset. For example, if the price is above the Average Line and moves toward the Upper Range, it indicates a strong bullish trend.
Support and Resistance: The grid lines can act as dynamic support and resistance levels. Price tends to bounce off these levels or breakthrough, providing potential trade opportunities.
Volatility Gauge: The distance between the grid lines serves as a measure of market volatility. Wider lines indicate higher volatility, while narrower lines suggest low volatility.
█ Settings
Volatility Length: Number of bars to calculate the Standard Deviation (Default: 200)
Squeeze Adjustment: Multiplier for the Standard Deviation (Default: 6)
Grid Confirmation Length: Number of bars to calculate the weighted moving average for smoothing the grid lines (Default: 2)
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. 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.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Quantum TrendQuantum Trend indicator is our new tool to trade on futures and spot markets in the world of cryptocurrency.
This indicator uses some advanced techniques to determine price reversals and filter them out with other indicators, such as oscillators ( Stochastic RSI and etc. ) and trend-based indicators ( such as EMA and others ), but even after filtering signals with these tools Quantum Trend indicator then applies our own private algorithm, based on our modified z-score mertic, which reduces lag drastically and helps find good entries faster.
What algo is behind the signals?
For finding new entries we used RSI- and stochastic-based oscillators, which help us determine potential price reversal movements. When new entry is found, we filter it through our own stochastic RSI filter (takes stoch RSI's pivot points into account to find better entries; pivot points left and right bars are hard coded into the indicator) with our private indicators, based on close-to-close volatility filter methods, to understand whether or not entry valid enough. Why stochastic RSI? Because it is much less messy than most of other existing oscillators (by our own opinion and experience).
That was first filtering stage, now comes the second .
In the second phase we filter out signals even more with our own modified-standard-deviation-based indicators ( not Bollinger Bands! ) to determine whether or not price went above or below 2 sigma channel, which would mean that current price's movement is extremely rare (because for going above 2 sigma or below -2 sigma there is only 5% chance (classic Gaussian distribution)) and the reversal will probably happen soon.
If signal passed all two phases of filtering, it will be showed on the chart.
Over all, this indicator uses our own private indicators, based on some core concepts, which we described above ( classic Gaussian distribution for choosing signals with nice reversal moments , close-to-close volatility for understanding if market is volatile enough to make a good move , modified z-score metric for reducing lag and finding entries faster , own stoch RSI filter with pivot points for reducing lag and finding good reversal moments and etc. )
That's for idea reveal, now let's dive into the settings!
Indicator settings
Main Algo Settings — group of settings of the core algorithm, that forms signals.
Signal Length * — determines how many bars from the past should be taken to make a signal.
Signal Factor * — determines the threshold for signal quality.
* — the more this parameter is, the less signals you will get, but they will be more high-quality.
Signals to Show — determines which type of signals will be displayed on the chart:
Classic — Long/Short signals;
Strong — Strong Long/Short signals;
All — Classic + Strong signals;
Signal Colours — group of settings for customizing signals' colours.
Long — colour for Long signals
Short — colour for Short signals
Strong Long — colour for Strong Long signals
Strong Short — colour for Strong Short signals
Filter for Strong Signals — group of settings for strong signals.
Use Strong Signals? — enabling/disabling strong signals on the chart;
Apply this filter to Strong Signals? — enabling/disabling filter for strong signals. When disabled, strong signals won't be filtered and there will be a lot more signals on the chart, but with less quallity.
Fast Period * — number of bars for 1st group of candles to form a signal;
Slow Period * — number of bars for 2nd group of candles to form a signal ( we need these two groups to align short-term with long-term trend );
Additional Filter Period * — period for filter indicator, which cuts out bad strong signals;
Additional Filter Smoother Period * — period for filter indicator's smoother, which makes additionally smoothes signals to filter out bad ones;
Filter's source — price souce for the filter ( open, close, hl2 and etc. ).
* — the more this parameter is, the less signals you will get, but they will be more high-quality.
2nd Filter — group of settings for the 2nd filter, which cuts out bad signals from Main Algo.
Enable 2nd Filter? — enabling/disabling 2nd filter. When diasbled, there wiull be a lot more signals on the chart, but with less quality;
2nd Filter Length — period for the indicator, which is embedded in 2nd filter. Based on improved RSI;
OverBought Lvl — level, which indicates that asset is probably overbought ;
OverSold Lvl — level, which indicates that asset is probably oversold ;
TP/SL Settings — Take-Profit/Stop-Loss settings
Use TP? — Show take profits on the chart
TP Mode — Take Profit mode (either zone or 3 levels (drawn on the chart))
Take-Profit 1, 2, 3 Factor — Multiplier/factor for the 1st, 2nd, 3rd take-profits accrodingly . Determines the width of the take profits/zone (the higher the factor, the further the take profits are located from the entry point)
SL Factor — Multiplier/factor for the stop loss (line on the chart; not displayed if the take profit mode is set to zone)
Whales Screener — screener, that shows where whales buy (green zones) and sell (red zones).
Use Whales Screener? — enabling/disabling whales screener.
Support & Resistance Settings — group of settings for support and resistance lines.
Support Color — Support color;
Resistance Color — Resistance color;
S/R Strength — Strength of support and resistance lines. The greater it is, the more reliable the S/R lines will be;
Line Style — style of each S/R line ( solid, dotted, dashed );
Zone Width, % — Zone width in percentage of the price fro the last 250 bars;
Extend S/R Lines — Extend the S/R lines to the right and left.
What timeframes to use?
This indicator was built to work on any timeframe, but our practice shows that it works best on higher timeframes such 30 minutes and more, but you should find by yourself which timeframe suits you best.
What markets can this indicator be applied to?
This indicator is market-indifferent, which means that you can use this indicator on any possible market.
How should I use this indicator?
Quantum Trend indicator can be a useful tool for finding entries and confirming signals from your own trading system, as it is built with multiple signal filter layers, which drastically reduce amount of bad signals. Also it is better to use other indicators to confirm signals, produced by Quantum Trend, because this way you will get even more high-quality signals.
Does it repaint?
No, this indicator doesn't repaint.
IMPORTANT, PLEASE READ!
This is indicator is not a Holy Grail of trading and we DON'T promote it as such in any possible way. As any possible indicator, Quantum Trend uses price data of the past, which CAN NOT guarantee perfect price predicitions of the future!
Hope this indicator will help you make a much better trading decisions!
Buy/Sell Toolkit (Expo)█ Overview
The Buy/Sell Toolkit is a comprehensive trading tool designed to provide a holistic approach to trading. It brings together essential trading indicators and features in one place, simplifying the trading process and offering valuable insights into the market.
The indicator serves as an all-inclusive solution for traders seeking in-depth technical insights. While the Buy/Sell Toolkit can be utilized alongside other technical analysis methods, it can also be used as a standalone toolkit, adaptable to any trading style. In addition, each feature is thoughtfully integrated because not all technical indicators are suitable for every market condition or trading style.
The Buy/Sell toolkit works in any market and timeframe for discretionary analysis and includes many features:
█ Features
Buy/Sell signals: This feature provides real-time Buy/Sell trading signals for any market and timeframe. These signals are based on the trend.
Contrarian Signals: This feature provides real-time contrarian signals to take a position against the prevailing market trend.
Ultimate Trend: This feature assists in identifying the overall trend of the market, recognizing whether the market is in an uptrend, downtrend, or sideways.
Trend Advisor: The Trend Advisor helps traders understand the trend's strength, duration, and direction.
Trend Reversal: This feature identifies potential points where the current market may reverse within a trend. It's basically a trend-following line based on reversal calculation; it helps traders catch trend continuation setups.
Momentum Average: This indicator measures the rate of change in prices to identify the strength of the current trend. It can be beneficial for spotting potential price breakouts or warning of a market slowdown and pullbacks.
Take Profit Points: This feature suggests optimal points to exit a trade and lock in profits. It determines these points by using various factors such as volatility, support and resistance levels, and historical price movements.
Candle Coloring, Arithmetic Candlesticks, including Arithmetic Heikin Ashi: This feature provides an excellent visual aid to assist traders in recognizing patterns, identifying trends, and optimizing their trading strategies. The Arithmetic Candlesticks help smooth out price volatility and identify market trends more clearly.
Reversal Cloud: This innovative feature provides a graphical representation of potential price reversal zones. The cloud helps traders visualize where the price might reverse its trend.
Trend Cloud: Similar to the Reversal Cloud, this feature visualizes the prevailing market trend, making it easy for traders to understand the direction of the market at a glance.
Signal Optimizer: The Signal Optimizer is a powerful tool that optimizes the Buy/Sell and contrarian signals based on win-rate or performance. It automatically applies the best settings to the signals, freeing traders from the task of constantly adjusting them. This helps traders to get the most reliable signals automatically, enhancing their trading efficiency.
█ How to use the Buy/Sell Toolkit?
Here are a few illustrative examples to provide traders with a better understanding of the Toolkit's practical usage. These examples showcase the combination of features, but it's important to note that they serve as demonstrations, and we encourage traders to explore and adapt the features to align with their unique trading styles.
Buy/Sell Signals & Take Profit
Optimized Buy/Sell signals & Candle Color + Trend Advisor + Reversal Cloud
Contrarian Signals & Take Profit
,with Reversal Cloud
Optimized Contrarian Signals & Ultimate Trend & Reversal Cloud
Trend Cloud
Filter signals with Trend Cloud
█ Why is this Buy/Sell Toolkit Needed?
The Buy/Sell Toolkit is an exceptional tool for traders because it consolidates several critical trading indicators into a single, user-friendly platform. The Toolkit's holistic approach to market analysis can enhance decision-making, reduce guesswork, and improve overall trading performance. Additionally, it allows traders to customize their approach according to the market conditions and their trading style.
The Toolkit's automated features, such as the Signal Optimizer, save time and effort, making it easier for both new and experienced traders. In addition, its comprehensive suite of features ensures traders have all the information they need to make informed trading decisions. All these features make the Buy/Sell Toolkit a powerful ally in any trader's arsenal.
Here's why this Toolkit is essential:
Comprehensive Market Analysis: The Toolkit offers a wide range of indicators and tools for comprehensive market analysis, from trend detection to momentum analysis. This reduces the need for multiple tools and allows for a more efficient trading process. By providing a host of indicators like Buy/Sell signals, Contrarian Signals, Trend Analysis, and Momentum Average, the Toolkit helps traders make well-informed decisions based on comprehensive data and trend analysis.
Automation and Time-Saving: The Signal Optimizer automatically applies the best settings to the signals based on win rate or performance. This saves time and ensures the signals' reliability, reducing, it makes the trading process efficient and hassle-free.
Versatility: The Toolkit is versatile and can be used for various financial markets, including stocks, forex, commodities, or cryptocurrencies. Regardless of the market you trade in, the Buy/Sell Toolkit has something to offer.
Visual Tools: The Toolkit provides visual tools like Reversal Cloud, Trend Cloud, Trend lines, Candle coloring, and much more, which are excellent for visualizing market trends and potential reversal zones. This can make the process of understanding market movements more intuitive and less intimidating, especially for novice traders.
Confirmation: By using multiple indicators in conjunction with each other, traders can confirm signals and improve the accuracy of their trades.
Learning and Development: The Toolkit serves as an excellent resource for both novice and experienced traders to learn about different trading indicators, how they interact, and how to use them effectively.
█ Any Alert Function Call
This function allows traders to combine any feature and create customized alerts. These alerts can be set for various conditions and customized according to the trader's strategy or preferences.
█ How are the features calculated? - Overview
The Toolkit combines many of our existing premium indicators and new technical analysis algorithms to analyze the market. This overview covers how the main features are calculated.
Buy/Sell
The core function calculates the Exponential Weighting for a given time series X over a period T. The time series is based on absolute price changes. It focuses on the magnitude of price changes from one period to the next, irrespective of the direction (up or down). This type of time series can be used to measure the volatility of a price series, as it quantifies the size of price movements. It's useful in scenarios where the direction of the change is not as important as the magnitude of the change.
Contrarian Signals
Our contrarian signals are based on deviation from the expected range value. The algorithm quantifies the amount of variation or dispersion in a set of trading ranges. Non-expected values are the fundamental core of the signal generation process.
Ultimate Trend
The Ultimate trend calculates an adaptive smoothing momentum function by first determining the directional price movement and then applying smoothing to the positive and negative price changes. It then uses these values to calculate a form of Variable Moving Average (VMA), where the smoothing factor is adjusted based on a normalized measure of the relative difference between the Positive and Negative Directional values.
Trend Advisor
It's a form of Moving Averages that are applied to the price chart using three different weighting functions, simple weighting, price volatility smoothing constant weighting, and the traditional EMA weighting function.
Trend Reversal and Cloud
The function uses the information on how much the current price compared to the relative historical price fluctuates over a specific period and automatically updates its equilibrium value at new price changes.
Momentum Average
Essentially, it uses a modified version of the relative rate of change over a certain period.
Take Profit
The take profit uses similar range price functions as the contrarian signals, where a take profit signal is triggered at extremely abnormal values.
Candles
Note, Using and Backtesting on non-standard charts produces unrealistic results since it does not represent the closing price. The candles are based on a smoothing process that finds the best smoothing coefficient for the current data, using close as time series.
█ In conclusion , The Buy/Sell Toolkit serves as a comprehensive, user-friendly, and efficient trading assistant. It brings automation and intelligent data play-by-play to your fingertips, making it an essential tool for anyone serious about trading.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. 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.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Machine Learning: kNN (New Approach)Description:
kNN is a very robust and simple method for data classification and prediction. It is very effective if the training data is large. However, it is distinguished by difficulty at determining its main parameter, K (a number of nearest neighbors), beforehand. The computation cost is also quite high because we need to compute distance of each instance to all training samples. Nevertheless, in algorithmic trading KNN is reported to perform on a par with such techniques as SVM and Random Forest. It is also widely used in the area of data science.
The input data is just a long series of prices over time without any particular features. The value to be predicted is just the next bar's price. The way that this problem is solved for both nearest neighbor techniques and for some other types of prediction algorithms is to create training records by taking, for instance, 10 consecutive prices and using the first 9 as predictor values and the 10th as the prediction value. Doing this way, given 100 data points in your time series you could create 10 different training records. It's possible to create even more training records than 10 by creating a new record starting at every data point. For instance, you could take the first 10 data points and create a record. Then you could take the 10 consecutive data points starting at the second data point, the 10 consecutive data points starting at the third data point, etc.
By default, shown are only 10 initial data points as predictor values and the 6th as the prediction value.
Here is a step-by-step workthrough on how to compute K nearest neighbors (KNN) algorithm for quantitative data:
1. Determine parameter K = number of nearest neighbors.
2. Calculate the distance between the instance and all the training samples. As we are dealing with one-dimensional distance, we simply take absolute value from the instance to value of x (| x – v |).
3. Rank the distance and determine nearest neighbors based on the K'th minimum distance.
4. Gather the values of the nearest neighbors.
5. Use average of nearest neighbors as the prediction value of the instance.
The original logic of the algorithm was slightly modified, and as a result at approx. N=17 the resulting curve nicely approximates that of the sma(20). See the description below. Beside the sma-like MA this algorithm also gives you a hint on the direction of the next bar move.
Trend Friend - Swing Trade & Scalp Signals - Stocks Crypto ForexTREND FRIEND is a custom built, data driven algorithm that gives buy and sell signals when many different factors line up together on a single candle. It is designed to catch every move so you can expect early entries and exits across all of your favorite markets. Use scalp mode for early entries with lots of signals or swing mode for longer swings with fewer signals and long swing mode for really long swing trades with even less signals.
The best markets to use this indicator on are high volume tickers with a lot of price action as these markets have enough data to use to give the signals the algo needs to be able to detect highly probable moves in price. That being said, it works across all markets such as stocks, crypto, forex and futures and across all timeframes(on really long timeframes it may not give signals due to not having enough data to work with).
***MAJOR POINTS TO REMEMBER BEFORE USING THIS INDICATOR***
The algo is designed to catch major moves, so if a signal seems to come in late, it is highly likely the market is about to reverse so use caution when taking signals that seem late. This typically happens because the market is indecisive so always be careful in these situations and just wait for a better signal when markets are really decisive.
Always trade in the direction of the trend meaning the volume weighted moving average clouds. There is also a trend detection label and risk level label that you should follow to keep your trades as safe as possible. The safest way to do this is only trade short when the VWMA 100 is below the VWMA 500 and a Bear signal comes in very close to a VWMA line. Only trade long when the VWMA 100 is above the VWMA 500 and a Bull signal comes in very close to a VWMA line.
If price is between the moving averages, play the VWMA 100 and VWMA 500 as support and resistance and only take signals near one of the VWMAs with the plan of price returning to the other VWMA. If you are taking trades against the trend, like trying to buy the dips or sell the tops, wait for price to cross the VWMA 100 before following a signal.
If the VWMA 100 and VWMA 500 are close to each other and/or moving sideways, you can expect choppy price action and consolidation so use caution when taking trades during this time. It is better to wait for the price to hold above or below both VWMAs and stay supportive there before taking trades. Waiting for volume to increase is also a good way to avoid chop after the trend decides a direction.
This indicator will repaint sometimes before the candle has closed, so either wait for the candle to close with a signal before entering trades or only take signals before it closes on candles with good volume and technical analysis backing it.
***ALL THE FEATURES YOU NEED***
Trend Friend has multiple features designed to help you trade better and make decisions faster.
Buy & Sell Signals - When the algo detects all of our required parameters lining up on a single candle, Trend Friend will give Bull or Bear signals on the chart. Bull means upward price action is expected. Bear means downward price action is expected.
Take Profit Signals - When the price action makes a move that typically signals a reversal, a take profit signal will show up on the chart to help you get out of a trade before the next signal comes in.
Risk Levels For Signals
There is a risk detection system that tells you how risky each signal is as it comes in to help you stay out of dangerous trades. Wait for signals with low risk and you’ll be much safer than trying to take trades against the trend.
Alerts - There are options for alerts on buy signals, sell signals, take profit signals, price crossing the VWMA 100 and price crossing the VWMA 500. All of these can be controlled using tradingview alerts so you don't have to watch the charts and wait for things to happen. These alerts can also be used to send orders to trading bots if you choose.
Candles Painted Green Or Red According To Buy & Sell Pressure - By default, this indicator paints the candle sticks green, red or blue according to buy & sell pressure(DMI). You will need to turn off candle colors in your chart settings for this to appear correctly.
Percentage Updates - The table on the right has live percentage updates so you don’t have to measure out every move you are expecting. It will tell you the percentage from closest fibonacci levels, percentage away from the VWAP, percent gain or loss from the last signal entry and percentages from your own trades that can be configured in the settings. These help you always know how much more you can squeeze out of a trade and where your position stands without having to switch screens between Tradingview and your broker constantly.
Moving Average & VWAP Clouds - We included two color coded volume weighted moving averages(VWMA 100 and VWMA 500) and a color coded RMA 10 moving average. We also have a VWAP dotted line and cloud so you can easily see the trend direction on the chart at all times. The cloud and moving averages will turn green or red in real time depending on whether price is above or below each moving average or the VWAP respectively.
Trend Detection Label - The top label on the percentage update table tells you if the trend for this timeframe is Bullish or Bearish as well as when the trend is undecisive with choppy price action expected.
Chop & Low Volume Warning Labels - When price action is choppy or there is very low volume compared to historic candles, a warning label will appear at the top of the screen so you know to use caution and stay out of trades during these times.
Auto Fibonacci Levels - The chart will automatically populate fibonacci retracement and extension levels. The percentage update table will also give you real time updates on how far away the next fibonacci levels are from the current price.
Bounce Zone - We also included a very long term moving average cloud(EMA 1000 and EMA 2000) that shows as purple on the chart. When price enters that cloud, you can expect a reversal in that area. If price was trending above the cloud, expect that cloud to act as support. If price was trending below the cloud, expect that cloud to act as resistance. When price is trying to break through that cloud in either direction you can expect price action to be choppy and big moves to happen once price gets supportive in that zone and breaks out.
Margin Multiplier - If you are using margin to trade, our margin multiplier will multiply all of the percentage updates by the margin level you input in the settings tab so your percentages will reflect the percentages in your account.
***HOW TO USE***
Scalp, Swing And Long Swing Mode
You can choose from scalp mode, swing mode or long swing mode in the indicator settings. It is set to scalp mode by default. Scalpers will want to use the scalp mode as it provides early entries and exits and is designed to catch every move quickly. Swing mode is designed to catch almost every move and filter out some of the noise so it will have less signals than scalp mode. Long swing mode is designed to catch those lengthy moves and will hold positions the longest but give entries later than the other modes.
Try all three on a few charts and timeframes to see which setting matches your trading style the best. If you want more signals with any of the 3 modes, go to a lower timeframe. If you want less signals on any mode, go to a higher timeframe.
Bull & Bear Signals - When all of our algo parameters line up, a BULL or BEAR label will print on the chart. Bull labels will be colored green and bear labels will be colored red. Bull indicates a good place to enter a long trade because the algo is detecting patterns that indicate price should move upwards. Bear indicates a good place to enter a short trade because the algo is detecting patterns that indicate price should move downwards.
For best results using these signals, take trade signals that line up very closely with fibonacci levels or volume weighted moving averages or the vwap or any combination of them. It is also recommended to only take trades in the direction of the trend to avoid trading false reversals. Wait for low risk signals using our risk identifier and then enter the market. Waiting for good volume to come in will also help you avoid chop and catch those quick moves.
Also, make sure to check the percentage updates table to see if the expected move to the next fibonacci level is far enough away to make the risk to reward ratio worth taking the trade. Watch for signals when the VWMAs squeeze together after a wide gap and price breaks out with a corresponding signal as these can bring large, quick moves in price. Use caution when the VWMAs are close to each other and trending sideways as this usually brings choppy price action.
(The bull and bear signals can be turned on or off in the indicator settings input tab. Useful if you want to clean up the chart or only show bear or bull signals according to the trend.)
Take profit Signals - Take profit labels will show up on the chart when a reversal candle pattern or reversal indicator pattern is detected while a trade is still open. Use these signals as times that it may be a good point to exit the trade to avoid losses or reduced profits.
(The take profit signals can be turned on or off in the indicator settings input tab.)
Risk Level Label
Taking trades against the trend is dangerous because there are more false bottoms than there are actual bottoms. Our risk detection label is there to keep you from taking dangerous trades against the trend. The label will say Low Risk when the trend is in the same direction as the last signal given. The label will say Medium Risk when the trend is neutral because price likes to chop around during these times. The label will say High Risk when the trend is in the opposite direction as the last signal given.
Make sure you wait for the risk level detector to show Low Risk before taking trades or you may be buying a false bottom.
Candles Colored According To Buy & Sell Pressure - By default this indicator will paint the candlesticks green, red or blue depending on the buy & sell pressure for those candles using the Directional Movement Index or DMI. If buy pressure is higher than sell pressure, it will paint green. If Sell pressure is higher than buy pressure, it will paint red. If buy pressure is equal to sell pressure, it will paint blue. Use this to confirm which direction buying and selling is favoring and use a change in color trend to determine reversal points early. For this to work correctly you will need to go into chart settings(gear icon top right) and in the symbol tab turn off body, wicks and border.
(The buy & sell pressure candle coloring can be turned on or off in the indicator settings input tab.)
Auto Fibonacci - This indicator will automatically populate fibonacci retracement and extension levels for you. These levels are calculated using the previous high and low. You can switch the source between the previous day, week, month, quarter and year(the weekly setting is the default as it is great for day trading). The previous high and low levels will show as white(These are very important levels so watch for price to bounce off of the white lines). The percentage update table will also show the percentage gap from the current price and the next closest fibonacci level above and below, with labels telling you which fib levels they are.
(The fibonacci levels can be turned on or off in the indicator settings input tab.)
Volume Weighted Moving Averages With Clouds - The red or green moving averages should be treated as dynamic support and resistance as well as a visual way of telling current price trends. You can expect price to bounce off of these moving averages very often and quick moves usually happen when price breaks out of these moving averages.
The safest long trades you can take will be when the VWMA 100 is above the VWMA 500 and you get a BULL signal that is very close to the VWMA 100 or VWMA 500. The safest short trades you can take will be when the VWMA 100 is below the VWMA 500 and you get a BEAR signal that is very close to the VWMA 100 or VWMA 500.
When the moving averages squeeze together and price bounces between them, you can expect big moves in price when it breaks out. If price has been trending up and the moving averages squeeze together, expect the price to fall quickly once it breaks down from there. If price has been trending down and the moving averages squeeze together, expect the price to jump quickly once it breaks out from there.
These moving averages and the clouds associated with them will paint green when price is above them, indicating a bullish trend and they will change to red when price is below the moving averages, indicating a bearish trend.
You can also use the moving averages as support and resistance levels when markets are moving sideways. Since these are volume weighted moving averages, price tends to stick to them very well and paints a much clearer picture of what is going to happen than regular moving averages that don't take volume into account. Try it on a bunch of different timeframes and charts to see for yourself.
(The moving averages and clouds can be turned on or off in the indicator settings input tab.)
Bounce Zone - The bounce zone is a purple cloud that is made up of two very long term moving averages. When price is trending above this cloud and comes back down to it, you can expect the price to bounce back upwards in this zone. If the price is trending below this cloud and comes up to it, you can expect the price to bounce back downwards when it reaches this zone.
Sometimes price will break through this cloud and you will usually notice a lot of choppy price action and accumulation in this zone. When price does break out of it, you can expect fast, large moves. I also like to call this zone the safe zone because taking trades in this zone is typically a very safe place to enter trades depending on how the price is trending before it entered this zone. If you look at the cloud on any of your favorite charts, you will see that the cloud usually represents support and resistance areas quite well.
(The bounce zone can be turned on or off in the indicator settings input tab.)
Chop & Low Volume Warnings - When price is choppy, it can be a portfolio killer. When volume is low, it can give false signals or the market can reverse easily, so stay out of trades when these warning labels appear on your chart. If you were already in a trade when these warnings appear, keep a close eye on your trades and be ready to exit if things start to go the wrong way.
Long & Short Entry Calculator - Here you can enter your own entry price for short or long positions so that your actual P&L will be shown live on your chart. This eliminates the need to calculate percentages in your head or switch screens to your broker often or use the measuring tool to calculate your P&L. These will show as zero until a trade price is entered.
Margin Multiplier - If you use margin to trade, enter your margin multiplier in this input and all of the percentages in the percentage update table will reflect how far each level is based on your margin. So a 5x margin will multiply all percentages in the chart by 5 and so on. This way you don’t have to calculate everything in your head or switch between your chart and your broker constantly.
Customization - Go into the indicator settings and you can customize just about everything to suit your style. In the Input tab you can: turn the Bull or Bear labels off or on so you only get the signals that are going in the direction of the trend, turn on or off the moving average lines & clouds, turn on or off the vwap & clouds, set your fibonacci timeframe or turn them off completely and set your long or short entry price as well as your margin level for percentage updates according to your portfolio.
You can also easily customize: the moving average lines & clouds, the bounce zone lines and cloud, the vwap color and line style, the support and resistance line colors and thickness, the bull and bear label styles, the take profit label styles and more.
***MARKETS***
This indicator can be used as a signal on all markets, including stocks, crypto, futures and forex as long as Tradingview has enough data to support the calculations needed by the algo.
***TIMEFRAMES***
Trend Friend can be used on all timeframes.
***IMPORTANT NOTES***
For the buy & sell pressure colored candles to show up properly you will need to go to the chart settings(gear icon in top right corner) and in the symbol tab turn off body, wicks and border.
No indicator can be right 100% of the time and remember that past results do not guarantee future performance. You still need to make smart decisions when using this indicator to be successful. It is also important to note that markets with little volume and price action may not give very good signals due to many different parameters needing to line up on one candle for a signal to be given so use it on high volume tickers with lots of price action for best results.
***TIPS***
Try using numerous indicators of ours on your chart so you can instantly see the bullish or bearish trend of multiple indicators in real time without having to analyze the data. Some of our favorites are our Volume Spikes, Directional Movement Index + Fisher, Volume Profile with DMI, and MOM + MFI + RSI with Trend Friend. They all have real time Bullish and Bearish labels as well so you can immediately understand each indicator's trend.
Pulu's 3 Moving Averages
Pulu's 3 Moving Averages
Release version 1, date 2021-09-28
This script allows you to customize three sets of moving averages, turn on/off, set color and parameters. It also tags the start date of the last set of moving average if there is. This, release version 1, supports eight moving average algorithms:
ALMA, Arnaud Legoux Moving Average
EMA, Exponential Moving Average
RMA, Adjusted exponential moving average (aka Wilder’s EMA)
SMA, Simple Moving Average
SWMA, Symmetrically-Weighted Moving Average
VWAP, Volume-Weighted Average Price
VWMA, Volume-Weighted Moving Average
WMA, Weighted Moving Average
The availability and function parameters
Func. Availability Parameters
ALMA
MA1, MA2, MA3
source
length
offset
sigma
EMA
RMA
SMA
VWMA
WMA
MA1, MA2, MA3
source
length
SWMA
VWAP
MA1
source
Parameters
Parameter Description
source the series of values to process. The default is to use the closing price to calculate the moving average.
length an integer value that defines the number of bars to calculate the moving average on. The SWMA and VWAP do not use this parameter.
ALMA offset a floating-point value that controls the tradeoff between smoothness (with a value closer to 1) and responsiveness (with a value closer to 0). This parameter is only used by ALMA.
ALMA sigma a floating-point value that specifies the ALMA’s smoothness. The larger this value, the smoother the moving average is. This parameter is only used by ALMA.
I'm not sure if it is needed, so I do not let the three Moving Averages of the script to have indivial algorithm setting. Because that will involve much complicated condition testing and use up more TradingView script lines limit. If you need to combine different algorithms in the three sets of moving averages, or have other ideas, leave a message to let me know; maybe I will try it in the next update.
我不確定是否需要，所以我沒有讓腳本的三組移動平均線有各別的算法設置。因為這將涉及更多複雜的條件測試，並使用更多 TradingView 腳本列數限制。如果您需要在三組均線中組合不同的算法，或者有其他想法，請留言告訴我；也許我會在下一次更新中嘗試。
GA - Value at RiskGA Value at Risk is a multifunctional tool. Its main purpose is to plot on the chart the Value at Risk . But it shows also integrated features related to the Volatility.
Value at Risk is a measure of the risk of loss for investments, given normal market conditions, in a period.
It measures and quantifies the level of financial risk. In this case, the risk is within position over a specific time frame.
Defining p as VaR, the probability of a loss greater than VaR is p, at most. Instead, the probability of loss that is less than VaR is 1-p, at least.
The VaR Breach occurs when a loss exceeds the VaR threshold .
For this case, VaR calculation uses the volatility estimation in a time interval. It defines the Probability Confidence according to the Normal Distribution. VaR is a percentile of the Normal Distribution. This is a multiplier of the Standard Deviation that define a Volatility Range.
The Normal Distribution Area around +- the Standard Deviation gives 68% of Confidence. 2 times the Standard Deviation returns a 95% of probability area. 3 time the Standard Deviation the Area returns 99.7% of Confidence.
Knowing VaR modeling, it is possible to determine the amount of a potential loss . Then, it is possible to know if there is enough capital to cover losses. In the same way, higher-than-acceptable risks forces reducing exposure in a financial instrument.
One of its practical use is to estimate the risk of an investment that is already at portfolio. Indeed, this is the purpose of the Value at Risk calculated in this script.
At the VaR Breach that investment has reached its worst scenario. Then, it can be the case to manage that investment into the balanced portfolio.
The Value at Risk does not tell when to enter the market.
Moving Averages
GA Value at Risk bases its calculations on a set of Moving Averages. Every feature of the script uses one of these Moving Averages for its algorithm.
Moving Averages from MA0 to MA8, are the core of each feature of the script.
By default, from MA0 to MA8, Moving Averages use the Fibonacci Series to define their lengths. This happens because of the power of the Golden Ratio in the market behavior.
Instead, the first moving average is an extra resource. Its purpose is to plot a Signal Line on the chart.
The script does not consider plotting every Moving Average on the chart. But it lets you enable the plotting of 7 Moving Averages (from MA0 to MA5 + Signal Line).
It is possible to select the Moving Average Formula to use in the script. This is a setting that affects every Moving Average. Then, it changes also the result of every feature of the script.
The selection is between:
Exponential Moving Average.
Simple Moving Average.
Weighted moving Average.
Simple Moving Averages and Pointers - Full Visibility
Moving Averages and Partial Visibility
The plotting of each Moving Average can be total or partial.
By default, the plotting of Moving Averages and Signal Line is partial.
When the price approaches a Moving Average a little part of the curve becomes visible. This highlights supports or resistances.
Besides, this tracking remains on the chart. Then it shows supports and resistances that the price reached during its progression.
The Partial Visibility Algorithm is a great advantage, ruling how to plot curves. It uses a parameter to set how much of the curves is to plot.
Exponential Moving Averages and Pointers - Partial Visibility
Exponential Moving Averages and Pointers - Full Visibility
Moving Averages and Pointers
As it is clear, it is not necessary to plot entire curves of Moving Averages on the chart. But it becomes relevant to plot Pointers to Moving Averages.
Indeed, the script plots horizontal segments that point to the latest Average Prices.
Every segment has a Label that shows Average Price, Length, and its related Moving Average (from MA0 to MA8). Besides, it is possible to extend the segment to right.
These pointers are a very useful automatization. They point to the Moving Averages. In this way, they show Dynamic Supports and Resistances as horizontal segments.
They are adaptive. Used together with the Volume Profile their progression approaches Edges of High Nodes.
This adaptive behavior makes easy to see when the price reaches Volume High Nodes and slows down.
Moving Average Pointers use the Partial Visibility Algorithm. In this case, the algorithm shows pointers with higher frequency than curves.
Moving Averages Pointers have:
Horizontal Segment as a Pointer with Arrow.
Label with details.
Circle to the current Average Price.
Weighted Moving Averages and Pointers - Full Visibility
Volatility Channels
Having Moving Averages, from MA0 to MA8, it is possible to plot 9 Volatility Channels.
Each Volatility Channel uses one of the Moving Averages, from MA0 to MA8.
Indeed, each Volatility Channel has the same designation of the Moving Average used.
The Standard Deviation defines the Volatility Range. It uses the length of the Moving Average related to the Volatility Channel.
The Volatility Range is unique for each Volatility Channel. In the same way, each Volatility Channel is unique because of its relation to only one Moving Average.
By default, each volatility channel has the 2 value as Standard Deviation Multiplier. This gives 95% of Confidence that the price will stay into the Volatility Range.
Using the Simple Moving Average, each Volatility Channel becomes a Bollinger Bands envelop.
Volatility Channels work very well even using Exponential or Weighted Moving Averages.
MA0 - Volatility Channel
Volatility Channels - From MA0 to MA8
Value at Risk (VaR)
GA Value at Risk plots VaR according to the volatility. The VaR plotting follows the Trend Momentum or Buying-Selling Waves.
By default, VaR follows the Trend Momentum by 2 times the Standard Deviation of MA0. Where MA0 is the first Moving Average and Volatility Channel of the set.
Besides, by default, the calculation of the Value at Risk is adaptive. It does not follow the Volatility Channel Bands. But it changes according to the fast reaction of the price into the Volatility Range.
By default, VaR follows the main momentum even if the price is moving in opposition to it. This occurs as long as the Trend Momentum persists.
In the settings box, It is possible to select the following of the latest Buying Wave or Selling Wave.
In this case, VaR changes according to the change of Buying Wave or Selling Wave. This means that, on these conditions, VaR follows main swings. Then it follows the weakening and the strengthening of the trend momentum as long as it persists.
The plotting of the Value at Risk can show these features:
Red cycle to show the Value at Risk at the current price.
Look Back Red Line that shows the progression of the Value at Risk.
Label with details.
MA0 - Value at Risk - Not Adaptive
MA0 - Value at Risk - Adaptive
It is possible to use a different Moving Average and Volatility Channel from the set. This affects the calculation and the plotting of the Value at Risk. In this way, the algorithm return the Value at Risk for the short, middle, or long-term.
Then, you can get the Value at Risk for that Financial Instrument, calculated for ~1 year or more so as for 1 month.
The Value at Risk does not tell you when to enter the market. Besides, it does not show you that the trend is changing.
MA3 - Value at Risk - Adaptive
Value at Profit (VaP)
The Value at Profit has a descriptive purpose. It points the Volatility Band that is opposite to the Value at Risk.
I chose Value at Profit as a designation for this feature. It does not tell you where to exit the market.
But is shows what the price progression is pointing on. This happens following the switching between Volatility Ranges.
The VaP follows the Volatility Band where the price tends to converge.
An outperforming or underperforming price is running faster than the average trend. Then when the price runs enough to converge to the Volatility Band, it is over extended or under extended.
At these conditions, the increased buying or selling pressure affects the price behavior. This slows down the price progression.
The Algorithm behind the Value at Profit is adaptive. Then the pointer jumps up and down the Volatility Bands of the 9 Volatility Channels. This occurs according to the price progression, following the switching between Volatility Ranges.
So, the VaP points a Volatility Band as long as the price can have chances to converges on it. Instead, when the price has chances to exceed the Volatility Band, the VaP points to the next one.
The plotting of the Value at Profit occurs enabling its Label with details.
Value at Profit - MA0 Volatility Channel Upper Band
Value at Profit - MA6 Volatility Channel Upper Band
Price Extension
When the price runs far away from the average trend price, GA Value at Risk can plot the price extension.
It shows the distance in percentage of the price from a Moving Average of the set. This tends to highlight conditions where the price is over or under extended.
An overbought or oversold condition precedes the shortening of the Trust. It is a cause of the hesitation of the price to continue its progression. This includes also Climactic Points and Signs of Dominance.
The Price Extension plotting uses a variation of the Partial Visibility Algorithm. It plots the Price Extension Arrow only when there are specific volatility conditions.
When the Partial Visibility is set to 0, the Price Extension Arrow is always visible on the chart.
The plotting of the Price Extension includes a Label with details.
Over Extension - The Price is Outperforming MA0
Under Extension - The Price is Underperforming MA0
Price Extension Coloring for Bars and Line Chart
GA Value at Risk lets you enable the coloring of vertical charts. Green and Red colors mark the over and under extended price on bars, candle sticks, and also on the Line Chart.
The Price Extension Algorithm colors Bars and Line Chart by a momentum function.
Indeed, the coloring happens following Relative Strength Index or Bollinger Bands %B.
These 2 Momentum functions are different. Indeed, they color the chart according to the purpose of their curves.
Coloring the Line Chart, it is necessary to put on front the script visibility.
Overbought and Oversold Conditions on Line Chart by Bollinger Bands %B
Overbought and Oversold Conditions on Candlesticks Chart by Relative Strength Index
Note: I restrict access to the tool. Use the links in my signature field to gain access to the script. Feel free to send me a PM for any question.
Thank you
Girolamo Aloe
Founder of Profiting Me Finance Analytics
-
Disclaimer
Nobody in Girolamo Aloe websites and trading view profile is a Financial Advisor. Nothing therein is intended to be constructed as Financial Advice. The content on his websites is for information and educational purposes only.
Trading carries high risk. You should not invest money that you cannot afford to lose. Past performance is not an indication of future results.
KarkadannKarkadann is an indicator derived from a Naberius trading algorithm. It represents a medium ground between our two other algorithms Mammon and Malphas.
It detects the current trend ranges in the market and prints a suggested entry accordingly at assumed trend channel tops & bottoms upon encountering stalled out price action usually indicative of a retracement. As such, Karakadann can be traded on nearly any timeframe.
This algorithm was developed to trade primarily leveraged XBT; however, after exploring larger alt coins and the more traditional markets outside of cryptocurrency we found that Karkadann does better than the average trader regardless of the pair or ticker being traded at the time. Any core changes to the live trading algorithm will be added to this indicator as they are deployed.
Suggested Methods of Operation:
1. Buy and Sell signals represent a possible trading opportunity. Based on our testing, manual traders should use the 15m - 60m for scalping and 240m - 1D for larger swings.
2. Upon signal print, place your limit orders spread throughout the current candles total body range. DO NOT MARKET IN. DO NOT CHASE. If the limit orders don't fill within the following candle regardless of timeframe being traded remove them and re-evaluate.
3. Use standard candles. Heikin Ashi candles are ok but can be deceiving in times of localized price volatility
4. Trade the trend or wait for extreme price action, counter to the trend, to take up positions.
Fractal Model [Free+] (T-Trades)Fractal Model - Higher Timeframe Analysis Tool
Advanced higher timeframe candle visualization with T-spot identification, sweep detection, and multi-timeframe price action analysis.
Introduction:
The Fractal Model is a Pine Script indicator that provides advanced higher timeframe (HTF) candle visualization and analysis. It identifies key price action patterns including T-spots, sweep signals, and imbalance zones to help traders understand market structure across multiple timeframes.
Description:
The Fractal Model analyzes price action by creating higher timeframe candles on your current chart, allowing you to see HTF structure without switching timeframes. It identifies specific price action patterns that often precede significant moves, including T-spot formations, sweep confirmations, and fair value gaps.
The indicator uses logarithmic midpoint calculations and pivot detection algorithms to identify high-probability entry and exit points. It automatically detects appropriate higher timeframes based on your current chart timeframe and provides real-time analysis of price action patterns.
Key Features:
Higher Timeframe Candle Visualization: Automatically creates higher timeframe candles on your current chart, allowing you to see HTF structure without switching timeframes. Supports up to 6 different HTF levels with automatic timeframe detection.
T-Spot Identification: Identifies T-spot formations using logarithmic midpoint calculations. T-spots mark areas where price is likely to form wicks based on specific price action patterns including sweep conditions and close position analysis.
Sweep Detection: Detects when price sweeps previous highs or lows but closes on the opposite side, creating potential reversal zones. Includes both high sweeps and low sweeps with visual confirmation lines.
Fair Value Gap (FVG) Detection: Identifies gaps between candle ranges where price didn't trade, creating potential support/resistance zones. Uses three-candle pattern analysis to detect imbalance areas.
Volume Imbalance Detection: Identifies areas where price action shows volume imbalance between consecutive candles, indicating potential continuation or reversal zones.
T-Spot Sweep Confirmation: Advanced confirmation system that requires pivot formation before T-spot touch, then close beyond the pivot level to confirm sweep signals.
TTFM Labeling System: Dynamic labeling system that tracks setup validity with C2, C3, and C4 labels indicating different types of T-spot formations and their confirmation status.
How the Code Works:
1. Higher Timeframe Detection:
The indicator automatically determines appropriate HTF based on your current chart:
- 1m charts: 15m HTF
- 3m charts: 30m HTF
- 5m charts: 1h HTF
- 15m charts: 4h HTF
- 30m-1h charts: 1D HTF
- 4h-8h charts: 1W HTF
- 1D charts: 1M HTF
2. T-Spot Calculation Algorithm:
T-spots are identified using logarithmic midpoint calculations combined with pivot-based logic:
- Calculates log midpoint = exp((log(high) + log(low)) / 2) for wick analysis
- Identifies sweep conditions: high > prev_high AND close < prev_high (bearish) or low < prev_low AND close > prev_low (bullish)
- Creates T-spot zones based on close position relative to logarithmic midpoint
- **Core Logic**: All T-spot formations are based on pivot creation patterns where price sweeps previous levels but closes on the opposite side, creating potential reversal zones
3. Sweep Detection Logic:
The code detects sweeps using pivot analysis:
- Uses ta.pivothigh() and ta.pivotlow() with 1,2 parameters for pivot detection
- Confirms sweeps when: pivot forms before T-spot touch AND close breaks beyond pivot level
- Tracks pivot levels and bars for confirmation validation
- **Pivot-Based Foundation**: The entire system is built on pivot creation logic - T-spots form when price creates pivots by sweeping previous levels but closing opposite, indicating potential reversal points
4. Fair Value Gap Detection:
FVG identification uses three-candle pattern analysis:
- Candle1.l > Candle2.h AND min(Candle1.o, Candle1.c) > max(Candle2.o, Candle2.c) for bullish FVG
- Candle1.h < Candle2.l AND max(Candle1.o, Candle1.c) < min(Candle2.o, Candle2.c) for bearish FVG
5. Visual Rendering System:
Uses array-based object management:
- Clears and redraws all visual elements on each bar
- Manages HTF candles, T-spots, sweeps, and labels using separate arrays
- Implements cleanup logic to prevent memory overflow
6. Pivot-Based T-Spot Types:
The indicator identifies several T-spot patterns based on pivot creation:
- **Standard T-Spots**: Price sweeps previous high/low but closes opposite, creating pivot
- **Expansive T-Spots**: Previous candle sweeps, current candle expands and closes beyond sweep level
- **Pro-trend T-Spots**: Price sweeps logarithmic midpoint but closes beyond previous levels
- **Silver T-Spots**: Special T-spots during specific market hours (4th-5th candle of day)
- All patterns require pivot formation through sweep-and-close logic for validation
Usage Guidance:
Add the Fractal Model indicator to your TradingView chart
Configure HTF settings and T-spot bias preferences
Adjust visual customization options to match your trading style
Monitor T-spot formations and sweep confirmations for entry signals
Trading Applications:
T-Spot Trading:
- Look for T-spot formations on higher timeframes
- Wait for price to touch T-spot levels
- Enter on sweep confirmation with proper pivot validation
- Use T-spot levels as support/resistance zones
Sweep Trading:
- Identify sweep patterns where price breaks previous highs/lows but closes opposite
- Use sweep levels as potential reversal zones
- Combine with T-spot analysis for higher probability setups
Fair Value Gap Trading:
- Trade FVG fills as price returns to imbalance areas
- Use FVG levels as support/resistance zones
- Combine with higher timeframe structure for context
Technical Specifications:
- Compatible with Pine Script v6
- Non-repainting indicator
- Supports all timeframes with automatic HTF detection
- Memory-efficient array management
- Real-time T-spot and sweep detection
- Customizable visual elements and colors
Disclaimer:
This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Always conduct your own research and risk management before making trading decisions.
