Advanced Speedometer Gauge [PhenLabs]Advanced Speedometer Gauge
Version: PineScript™v6
📌 Description
The Advanced Speedometer Gauge is a revolutionary multi-metric visualization tool that consolidates 13 distinct trading indicators into a single, intuitive speedometer display. Instead of cluttering your workspace with multiple oscillators and panels, this gauge provides a unified interface where you can switch between different metrics while maintaining consistent visual interpretation.
Built on PineScript™ v6, the indicator transforms complex technical calculations into an easy-to-read semi-circular gauge with color-coded zones and a precision needle indicator. Each of the 13 available metrics has been carefully normalized to a 0-100 scale, ensuring that whether you’re analyzing RSI, volume trends, or volatility extremes, the visual interpretation remains consistent and intuitive.
The gauge is designed for traders who value efficiency and clarity. By consolidating multiple analytical perspectives into one compact display, you can quickly assess market conditions without the visual noise of traditional multi-indicator setups. All metrics are non-overlapping, meaning each provides unique insights into different aspects of market behavior.
🚀 Points of Innovation
13 selectable metrics covering momentum, volume, volatility, trend, and statistical analysis, all accessible through a single dropdown menu
Universal 0-100 normalization system that standardizes different indicator scales for consistent visual interpretation across all metrics
Semi-circular gauge design with 21 arc segments providing smooth precision and clear visual feedback through color-coded zones
Non-redundant metric selection ensuring each indicator provides unique market insights without analytical overlap
Advanced metrics including MFI (volume-weighted momentum), CCI (statistical deviation), Volatility Rank (extended lookback), Trend Strength (ADX-style), Choppiness Index, Volume Trend, and Price Distance from MA
Flexible positioning system with 5 chart locations, 3 size options, and fully customizable color schemes for optimal workspace integration
🔧 Core Components
Metric Selection Engine: Dropdown interface allowing instant switching between 13 different technical indicators, each with independent parameter controls
Normalization System: All metrics converted to 0-100 scale using indicator-specific algorithms that preserve the statistical significance of each measurement
Semi-Circular Gauge: Visual display using 21 arc segments arranged in curved formation with two-row thickness for enhanced visibility
Color Zone System: Three distinct zones (0-40 green, 40-70 yellow, 70-100 red) providing instant visual feedback on metric extremes
Needle Indicator: Dynamic pointer that positions across the gauge arc based on precise current metric value
Table Implementation: Professional table structure ensuring consistent positioning and rendering across different chart configurations
🔥 Key Features
RSI (Relative Strength Index): Classic momentum oscillator measuring overbought/oversold conditions with adjustable period length (default 14)
Stochastic Oscillator: Compares closing price to price range over specified period with smoothing, ideal for identifying momentum shifts
MFI (Money Flow Index): Volume-weighted RSI that combines price movement with volume to measure buying and selling pressure intensity
CCI (Commodity Channel Index): Measures statistical deviation from average price, normalized from typical -200 to +200 range to 0-100 scale
Williams %R: Alternative overbought/oversold indicator using high-low range analysis, inverted to match 0-100 scale conventions
Volume %: Current volume relative to moving average expressed as percentage, capped at 100 for extreme spikes
Volume Trend: Cumulative directional volume flow showing whether volume is flowing into up moves or down moves over specified period
ATR Percentile: Current Average True Range position within historical range using specified lookback period (default 100 bars)
Volatility Rank: Close-to-close volatility measured against extended historical range (default 252 days), differs from ATR in calculation method
Momentum: Rate of change calculation showing price movement speed, centered at 50 and normalized to 0-100 range
Trend Strength: ADX-style calculation using directional movement to quantify trend intensity regardless of direction
Choppiness Index: Measures market choppiness versus trending behavior, where high values indicate ranging markets and low values indicate strong trends
Price Distance from MA: Measures current price over-extension from moving average using standard deviation calculations
🎨 Visualization
Semi-Circular Arc Display: Curved gauge spanning from 0 (left) to 100 (right) with smooth progression and two-row thickness for visibility
Color-Coded Zones: Green zone (0-40) for low/oversold conditions, yellow zone (40-70) for neutral readings, red zone (70-100) for high/overbought conditions
Needle Indicator: Downward-pointing triangle (▼) positioned precisely at current metric value along the gauge arc
Scale Markers: Vertical line markers at 0, 25, 50, 75, and 100 positions with corresponding numerical labels below
Title Display: Merged cell showing “𓄀 PhenLabs” branding plus currently selected metric name in monospace font
Large Value Display: Current metric value shown with two decimal precision in large text directly below title
Table Structure: Professional table with customizable background color, text color, and transparency for minimal chart obstruction
📖 Usage Guidelines
Metric Selection
Select Metric: Default: RSI | Options: RSI, Stochastic, Volume %, ATR Percentile, Momentum, MFI (Money Flow), CCI (Commodity Channel), Williams %R, Volatility Rank, Trend Strength, Choppiness Index, Volume Trend, Price Distance | Choose the technical indicator you want to display on the gauge based on your current analytical needs
RSI Settings
RSI Length: Default: 14 | Range: 1+ | Controls the lookback period for RSI calculation, shorter periods increase sensitivity to recent price changes
Stochastic Settings
Stochastic Length: Default: 14 | Range: 1+ | Lookback period for stochastic calculation comparing close to high-low range
Stochastic Smooth: Default: 3 | Range: 1+ | Smoothing period applied to raw stochastic value to reduce noise and false signals
Volume Settings
Volume MA Length: Default: 20 | Range: 1+ | Moving average period used to calculate average volume for comparison with current volume
Volume Trend Length: Default: 20 | Range: 5+ | Period for calculating cumulative directional volume flow trend
ATR and Volatility Settings
ATR Length: Default: 14 | Range: 1+ | Period for Average True Range calculation used in ATR Percentile metric
ATR Percentile Lookback: Default: 100 | Range: 20+ | Historical range used to determine current ATR position as percentile
Volatility Rank Lookback (Days): Default: 252 | Range: 50+ | Extended lookback period for Volatility Rank metric using close-to-close volatility
Momentum and Trend Settings
Momentum Length: Default: 10 | Range: 1+ | Lookback period for rate of change calculation in Momentum metric
Trend Strength Length: Default: 20 | Range: 5+ | Period for directional movement calculations in ADX-style Trend Strength metric
Advanced Metric Settings
MFI Length: Default: 14 | Range: 1+ | Lookback period for Money Flow Index calculation combining price and volume
CCI Length: Default: 20 | Range: 1+ | Period for Commodity Channel Index statistical deviation calculation
Williams %R Length: Default: 14 | Range: 1+ | Lookback period for Williams %R high-low range analysis
Choppiness Index Length: Default: 14 | Range: 5+ | Period for calculating market choppiness versus trending behavior
Price Distance MA Length: Default: 50 | Range: 10+ | Moving average period used for Price Distance standard deviation calculation
Visual Customization
Position: Default: Top Right | Options: Top Left, Top Right, Bottom Left, Bottom Right, Middle Right | Controls gauge placement on chart for optimal workspace organization
Size: Default: Normal | Options: Small, Normal, Large | Adjusts overall gauge dimensions and text size for different monitor resolutions and preferences
Low Zone Color (0-40): Default: Green (#00FF00) | Customize color for low/oversold zone of gauge arc
Medium Zone Color (40-70): Default: Yellow (#FFFF00) | Customize color for neutral/medium zone of gauge arc
High Zone Color (70-100): Default: Red (#FF0000) | Customize color for high/overbought zone of gauge arc
Background Color: Default: Semi-transparent dark gray | Customize gauge background for contrast and chart integration
Text Color: Default: White (#FFFFFF) | Customize all text elements including title, value, and scale labels
✅ Best Use Cases
Quick visual assessment of market conditions when you need instant feedback on whether an asset is in extreme territory across multiple analytical dimensions
Workspace organization for traders who monitor multiple indicators but want to reduce chart clutter and visual complexity
Metric comparison by switching between different indicators while maintaining consistent visual interpretation through the 0-100 normalization
Overbought/oversold identification using RSI, Stochastic, Williams %R, or MFI depending on whether you prefer price-only or volume-weighted analysis
Volume analysis through Volume %, Volume Trend, or MFI to confirm price movements with corresponding volume characteristics
Volatility monitoring using ATR Percentile or Volatility Rank to identify expansion/contraction cycles and adjust position sizing
Trend vs range identification by comparing Trend Strength (high values = trending) against Choppiness Index (high values = ranging)
Statistical over-extension detection using CCI or Price Distance to identify when price has deviated significantly from normal behavior
Multi-timeframe analysis by duplicating the gauge on different timeframe charts to compare metric readings across time horizons
Educational purposes for new traders learning to interpret technical indicators through consistent visual representation
⚠️ Limitations
The gauge displays only one metric at a time, requiring manual switching to compare different indicators rather than simultaneous multi-metric viewing
The 0-100 normalization, while providing consistency, may obscure the raw values and specific nuances of each underlying indicator
Table-based visualization cannot be exported or saved as an image separately from the full chart screenshot
Optimal parameter settings vary by asset type, timeframe, and market conditions, requiring user experimentation for best results
💡 What Makes This Unique
Unified Multi-Metric Interface: The only gauge-style indicator offering 13 distinct metrics through a single interface, eliminating the need for multiple oscillator panels
Non-Overlapping Analytics: Each metric provides genuinely unique insights—MFI combines volume with price, CCI measures statistical deviation, Volatility Rank uses extended lookback, Trend Strength quantifies directional movement, and Choppiness Index measures ranging behavior
Universal Normalization System: All metrics standardized to 0-100 scale using indicator-appropriate algorithms that preserve statistical meaning while enabling consistent visual interpretation
Professional Visual Design: Semi-circular gauge with 21 arc segments, precision needle positioning, color-coded zones, and clean table implementation that maintains clarity across all chart configurations
Extensive Customization: Independent parameter controls for each metric, five position options, three size presets, and full color customization for seamless workspace integration
🔬 How It Works
1. Metric Calculation Phase:
All 13 metrics are calculated simultaneously on every bar using their respective algorithms with user-defined parameters
Each metric applies its own specific calculation method—RSI uses average gains vs losses, Stochastic compares close to high-low range, MFI incorporates typical price and volume, CCI measures deviation from statistical mean, ATR calculates true range, directional indicators measure up/down movement, and statistical metrics analyze price relationships
2. Normalization Process:
Each calculated metric is converted to a standardized 0-100 scale using indicator-appropriate transformations
Some metrics are naturally 0-100 (RSI, Stochastic, MFI, Williams %R), while others require scaling—CCI transforms from ±200 range, Momentum centers around 50, Volume ratio caps at 2x for 100, ATR and Volatility Rank calculate percentile positions, and Price Distance scales by standard deviations
3. Gauge Rendering:
The selected metric’s normalized value determines the needle position across 21 arc segments spanning 0-100
Each arc segment receives its color based on position—segments 0-8 are green zone, segments 9-14 are yellow zone, segments 15-20 are red zone
The needle indicator (▼) appears in row 5 at the column corresponding to the current metric value, providing precise visual feedback
4. Table Construction:
The gauge uses TradingView’s table system with merged cells for title and value display, ensuring consistent positioning regardless of chart configuration
Rows are allocated as follows: Row 0 merged for title, Row 1 merged for large value display, Row 2 for spacing, Rows 3-4 for the semi-circular arc with curved shaping, Row 5 for needle indicator, Row 6 for scale markers, Row 7 for numerical labels at 0/25/50/75/100
All visual elements update on every bar when barstate.islast is true, ensuring real-time accuracy without performance impact
💡 Note:
This indicator is designed for visual analysis and market condition assessment, not as a standalone trading system. For best results, combine gauge readings with price action analysis, support and resistance levels, and broader market context. Parameter optimization is recommended based on your specific trading timeframe and asset class. The gauge works on all timeframes but may require different parameter settings for intraday versus daily/weekly analysis. Consider using multiple instances of the gauge set to different metrics for comprehensive market analysis without switching between settings.
Multiindicator
AlphaTrend - Medium Term Trend Probability Indicator on TOTALESWHAT IS ALPHATREND?
AlphaTrend is a consensus-based trend identification system that combines 7 independent trend detection methodologies into a single probability score. Designed for medium-term trading (days to weeks), it aggregates diverse analytical approaches—from volatility-adjusted moving averages to statistical oscillators—to determine directional bias with quantifiable confidence.
Unlike single-indicator systems prone to false signals during consolidation, AlphaTrend requires majority agreement across multiple uncorrelated methods before generating directional signals, significantly reducing whipsaws in choppy markets.
METHODOLOGY - THE 7-INDICATOR VOTING SYSTEM
Each indicator analyzes trend from a mathematically distinct perspective and casts a vote: +1 (bullish), -1 (bearish), or 0 (neutral). The average of all 7 votes creates the final probability score ranging from -1 (strong bearish) to +1 (strong bullish).
1. FLXWRT RMA (VOLATILITY-ADJUSTED BASELINE)
Method: RMA (Running Moving Average) with ATR-based dynamic bands
Calculation:
RMA = Running MA of price over 12 periods
ATR = Average True Range over 20 periods
Long Signal: Price > RMA + ATR
Short Signal: Price < RMA - ATR
Logic: Trend confirmed only when price breaks beyond volatility-adjusted boundaries, not just the moving average itself. This filters noise by requiring momentum sufficient to overcome recent volatility.
Why it works: Standard MA crossovers generate excessive false signals in ranging markets. Adding ATR bands ensures price has genuine directional momentum, not just minor fluctuations.
Settings:
RMA Length (12): Base trend smoothing
ATR Length (20): Volatility measurement period
2. BOOSTED MOVING AVERAGE (MOMENTUM-ENHANCED TREND)
Method: Double EMA with acceleration boost factor
Calculation:
EMA1 = EMA(close, length)
EMA2 = EMA(close, length/2) // Faster EMA
Boosted Value = EMA2 + sensitivity × (EMA2 - EMA1)
Final = EMA smoothing of Boosted Value
Logic: Amplifies the difference between fast and slow EMAs to emphasize trend momentum. The boost factor (1.3) accelerates response to directional moves while subsequent smoothing prevents over-reaction.
Why it works: Traditional MAs lag price action. The boost mechanism projects trend direction forward by amplifying the momentum differential between two EMAs, providing earlier signals without sacrificing reliability.
Settings:
Length (36): Base EMA period
Boost Factor (1.3): Momentum amplification multiplier
Originality: This is a proprietary enhancement to standard double EMA systems. Most indicators simply cross fast/slow EMAs; this one mathematically projects momentum trajectory.
3. HEIKIN ASHI TREND (T3-SMOOTHED CANDLES)
Method: Heikin Ashi candles with T3 exponential smoothing
Calculation:
Heikin Ashi candles = Smoothed OHLC transformation
T3 Smoothing = Triple-exponential smoothing (Tillson T3)
Signal: T3(HA_Open) crosses T3(HA_Close)
Logic: Heikin Ashi candles filter intrabar noise by averaging consecutive bars. T3 smoothing adds additional filtering using Tillson's generalized DEMA algorithm with custom volume factor.
Why it works: Regular candlesticks contain high-frequency noise. Heikin Ashi transformation creates smoother trends, and T3 smoothing eliminates remaining whipsaws while maintaining responsiveness. The T3 algorithm specifically addresses the lag-vs-smoothness tradeoff.
Settings:
T3 Length (13): Smoothing period
T3 Factor (0.3): Volume factor for T3 algorithm
Percent Squeeze (0.2): Sensitivity adjustment
Technical Note: T3 is superior to simple EMA smoothing because it applies the generalized DEMA formula recursively, reducing lag while maintaining smooth output.
4. VIISTOP (ATR-BASED TREND FILTER)
Method: Simple trend detection using price position vs smoothed baseline with ATR confirmation
Calculation:
Baseline = SMA(close, 16)
ATR = ATR(16)
Uptrend: Close > Baseline
Downtrend: Close < Baseline
Logic: The simplest component—pure price position relative to medium-term average. While basic, it provides a "sanity check" against over-optimized indicators.
Why it works: Sometimes the simplest approach is most robust. In strong trends, price consistently stays above/below its moving average. This indicator prevents the system from over-complicating obvious directional moves.
Settings:
Length (16): Baseline period
Multiplier (2.8): ATR scaling (not actively used in vote logic)
Purpose in Ensemble: Provides grounding in basic trend logic. Complex indicators can sometimes generate counterintuitive signals; ViiStop ensures the system stays aligned with fundamental price positioning.
5. NORMALIZED KAMA OSCILLATOR (ADAPTIVE EFFICIENCY-BASED TREND)
Method: Kaufman Adaptive Moving Average normalized to oscillator format
Calculation:
Efficiency Ratio = |Close - Close | / Sum(|Close - Close |, 8)
Smoothing Constant = ER × (Fast SC - Slow SC) + Slow SC
KAMA = Adaptive moving average using dynamic smoothing
Normalized = (KAMA - Lowest) / (Highest - Lowest) - 0.5
Logic: KAMA adjusts its smoothing speed based on market efficiency. In trending markets (high efficiency), it speeds up. In ranging markets (low efficiency), it slows down. Normalization converts absolute values to -0.5/+0.5 oscillator for consistent voting.
Why it works: Fixed-period moving averages perform poorly across varying market conditions. KAMA's adaptive nature makes it effective in both trending and choppy environments by automatically adjusting its responsiveness.
Settings:
Fast Period (9): Maximum responsiveness
Slow Period (21): Minimum responsiveness
ER Period (8): Efficiency calculation window
Normalization Lookback (35): Oscillator scaling period
Mathematical Significance: Kaufman's algorithm is one of the most sophisticated adaptive smoothing methods in technical analysis. The Efficiency Ratio mathematically quantifies trend strength vs noise.
6. LÉVY FLIGHT RSI (HEAVY-TAILED MOMENTUM)
Method: Modified RSI using Lévy distribution weighting for gains/losses
Calculation:
Weighted Gain = (Max(Price Change, 0))^Alpha
Weighted Loss = (-Min(Price Change, 0))^Alpha
RSI = 100 - (100 / (1 + RMA(Gain) / RMA(Loss)))
Centered RSI = RSI - 50
Logic: Standard RSI treats all price changes linearly. Lévy Flight RSI applies power-law weighting (Alpha = 1.5) to emphasize larger moves, modeling heavy-tailed distributions observed in real market data.
Why it works: Market returns exhibit "fat tails"—large moves occur more frequently than normal distribution predicts. Lévy distributions (Alpha between 1-2) better model this behavior. By weighting larger price changes more heavily, this RSI variant becomes more sensitive to genuine momentum shifts while filtering small noise.
Settings:
RSI Length (14): Standard period
Alpha (1.5): Lévy exponent (1=linear, 2=quadratic)
MA Length (12): Final smoothing
Originality: Standard RSI uses unweighted gains/losses. This implementation applies stochastic process theory (Lévy flights) from quantitative finance to create a momentum indicator more aligned with actual market behavior.
Mathematical Background: Lévy flights describe random walks with heavy-tailed step distributions, observed in financial markets, animal foraging patterns, and human mobility. Alpha=1.5 balances between normal distribution (Alpha=2) and Cauchy distribution (Alpha=1).
7. REGULARIZED-MA OSCILLATOR (Z-SCORED TREND DEVIATION)
Method: Moving average converted to z-score oscillator
Calculation:
MA = EMA(close, 19)
Mean = SMA(MA, 30)
Std Dev = Standard Deviation(MA, 30)
Z-Score = (MA - Mean) / Std Dev
Logic: Converts absolute MA values to statistical standard deviations from mean. Positive z-score = MA above its typical range (bullish), negative = below range (bearish).
Why it works: Raw moving averages don't indicate strength—a 50-day MA at $50k vs $60k has no contextual meaning. Z-scoring normalizes this to "how unusual is current MA level?" This makes signals comparable across different price levels and time periods.
Settings:
Length (19): Base MA period
Regularization Length (30): Statistical normalization window
Statistical Significance: Z-scores are standard in quantitative analysis. This indicator asks: "Is the current trend statistically significant or just random noise?"
AGGREGATION METHODOLOGY
Voting System:
Each indicator returns: +1 (bullish), -1 (bearish), or 0 (neutral)
Total Score = Sum of all 7 votes (-7 to +7)
Average Score = Total / 7 (-1.00 to +1.00)
Signal Generation:
Long Signal: Average > 0 (majority bullish)
Short Signal: Average < 0 (majority bearish)
Neutral: Average = 0 (perfect split or all neutral)
Why Equal Weighting:
Each indicator represents a fundamentally different analytical approach:
Volatility-adjusted (RMA, ViiStop)
Momentum-based (Boosted MA, Lévy RSI)
Adaptive smoothing (KAMA)
Statistical (MA Oscillator)
Noise-filtered (Heikin Ashi T3)
Equal weighting ensures no single methodology dominates. This diversification reduces bias and improves robustness across market conditions.
ORIGINALITY - WHY THIS COMBINATION WORKS
Traditional Multi-Indicator Approaches:
Combine similar indicators (multiple MAs, multiple oscillators)
Use arbitrary thresholds for each indicator
Don't normalize signals (hard to compare RSI to MACD)
Often just "if RSI > 70 AND MACD > 0 = buy"
AlphaTrend MTPI Innovations:
Methodological Diversity: Includes volatility-adaptive (RMA), momentum-enhanced (Boosted MA), efficiency-based (KAMA), heavy-tailed statistics (Lévy RSI), and smoothed candles (HA). No redundant indicators.
Binary Voting: Each indicator reduces to simple +1/-1/0 vote, making aggregation transparent and preventing any indicator from overwhelming the consensus.
Medium-Term Optimization: Parameter choices (12-36 period averages) specifically target multi-day to multi-week trends, not scalping or long-term positioning.
Advanced Mathematics: Incorporates Tillson T3, Kaufman Efficiency Ratio, Lévy distributions, and statistical z-scoring—not just basic MAs and RSIs.
No Overfit Risk: With 7 diverse components voting equally, the system can't overfit to any specific market regime. If trending markets favor KAMA, but choppy markets favor Boosted MA, the ensemble stays robust.
Why 7 Indicators, Not 3 or 10:
Fewer than 5: Insufficient diversification, single indicator failures impact results heavily
More than 9: Diminishing returns, redundancy increases, computational load grows
7 provides: Odd number (no ties), sufficient diversity, manageable complexity
VISUAL COMPONENTS
1. Bar Coloring:
Cyan bars: Bullish consensus (average score > 0)
Magenta bars: Bearish consensus (average score < 0)
No color: Neutral (score = 0 or date filter disabled)
2. MTPI Summary Table (Bottom Center):
MTPI Signal: Current directional bias (LONG/SHORT/NEUTRAL)
Average Score: Precise consensus reading (-1.00 to +1.00)
3. Indicator Status Table (Bottom Right):
Shows all 7 individual indicator scores
Score column: +1 (bullish), -1 (bearish), 0 (neutral)
Signal column: Text interpretation of each vote
Color-coded cells: Cyan (long), Magenta (short), Gray (neutral)
HOW TO USE
For Swing Trading (Recommended - Days to Weeks):
Entry Signals:
Strong Long: 5+ indicators bullish (score ≥ 0.71)
Standard Long: 4+ indicators bullish (score ≥ 0.57)
Weak Long: Simple majority (score > 0) — use with caution
Exit Signals:
Hard Stop: Score flips negative (consensus reverses)
Partial Take Profit: Score drops to +0.30 or below (weakening)
Trailing Stop: Use ATR-based stop below entry
Position Sizing:
Strong signals (|score| > 0.7): Full position
Moderate signals (0.4-0.7): 50-75% position
Weak signals (< 0.4): 25-50% or skip
For Trend Confirmation:
Use alongside your primary strategy for confluence
Only take trades when AlphaTrend agrees with your analysis
Avoid counter-trend trades when score is extreme (|score| > 0.7)
Best Timeframes:
4H: Primary timeframe for swing trading
1D: Position trading and major trend identification
1H: Active trading (shorter hold periods)
< 1H: Not recommended (designed for medium-term)
Market Conditions:
Trending markets: System excels (consensus emerges quickly)
Ranging markets: Expect mixed signals (score oscillates near zero)
High volatility: RMA and ViiStop provide stabilization
Low volatility: KAMA and Boosted MA maintain responsiveness
SETTINGS EXPLAINED
General Settings:
Use Date Filter: Enable/disable historical backtesting range
Start Date: When to begin signal generation (default: Jan 1, 2018)
Flxwrt RMA Settings:
RMA Length (12): Base trend smoothing
ATR Length (20): Volatility measurement period
Source: Price input (default: close)
Boosted MA Settings:
Length (36): Base EMA period
Boost Factor (1.3): Momentum amplification
Source: Price input
Heikin Ashi Settings:
Percent Squeeze (0.2): Sensitivity adjustment
T3 Factor (0.3): Tillson volume factor
T3 Length (13): Smoothing period
ViiStop Settings:
Length (16): Baseline period
Multiplier (2.8): ATR scaling
Source: Price input
KAMA Settings:
Fast Period (9): Maximum responsiveness
Slow Period (21): Minimum responsiveness
ER Period (8): Efficiency calculation
Normalization Lookback (35): Oscillator scaling
Levy RSI Settings:
RSI Length (14): Standard period
Alpha (1.5): Lévy exponent (power-law weighting)
MA Length (12): Final smoothing
Source: Price input
MA Oscillator Settings:
Length (19): Base MA period
Regularize Length (30): Z-score normalization window
PERFORMANCE CHARACTERISTICS
Strengths:
✅ Reduced whipsaws vs single indicators
✅ Works across varying market conditions (adaptive components)
✅ Transparent methodology (see every vote)
✅ Customizable to trading style via timeframe selection
✅ No curve-fitting (equal weighting, no optimization)
Limitations:
⚠️ Medium-term focus (not for scalping or very long-term)
⚠️ Lagging by design (consensus requires confirmation)
⚠️ Less effective in violent reversals (momentum carries votes)
⚠️ Requires clean price data (gaps/thin volume can distort)
ALERTS & AUTOMATION
No built-in alerts in current version (visual-only indicator). Users can create custom alerts based on:
Bar color changes (cyan to magenta or vice versa)
Average score crossing above/below thresholds
Specific indicator status changes in the table
BEST PRACTICES
Risk Management:
Never risk more than 1-2% per trade regardless of score
Use stop losses (ATR-based recommended)
Scale positions based on signal strength
Don't average down on losing positions
Combining with Other Analysis:
✅ Support/Resistance levels for entries
✅ Volume confirmation (accumulation/distribution)
✅ Market structure (higher highs/lower lows)
✅ Volatility regimes (adjust position size)
❌ Don't combine with redundant trend indicators (adds no value)
❌ Don't override strong consensus with gut feeling
❌ Don't use on news-driven spikes (wait for stabilization)
Backtesting Notes:
Use "Date Filter" to test specific periods
Forward-test before live deployment
Remember: consensus systems perform best in trending markets, expect reduced edge in ranges
IMPORTANT NOTES
Not a standalone strategy - Use with proper risk management
Requires clean data - Works best on liquid markets with tight spreads
Medium-term by design - Don't expect scalping signals
No magic - No indicator predicts the future; this shows current trend probability
Diversification within - The 7-component ensemble IS the diversification strategy
Not financial advice. This indicator identifies medium-term trend probability based on multi-component consensus. Past performance does not guarantee future results. Always use proper risk management and position sizing.
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.
Multi-Feature IndicatorThe Multi-Feature Indicator combines three popular technical analysis tools — RSI, Moving Averages (MA), and MACD — into a single indicator to provide unified buy and sell signals. This script is designed for traders who want to filter out noise and focus on signals confirmed by multiple criteria.
Features:
RSI (Relative Strength Index):
Measures momentum and identifies overbought (70) and oversold (30) conditions.
A signal is triggered when RSI crosses these thresholds.
Moving Averages (MA):
Uses a short-term moving average (default: 9 periods) and a long-term moving average (default: 21 periods).
Buy signals occur when the short-term MA crosses above the long-term MA, indicating an uptrend.
Sell signals occur when the short-term MA crosses below the long-term MA, indicating a downtrend.
MACD (Moving Average Convergence Divergence):
A trend-following momentum indicator that shows the relationship between two moving averages of an asset's price.
Signals are based on the crossover of the MACD line and its signal line.
Unified Buy and Sell Signals:
Buy Signal: Triggered when:
RSI crosses above 30 (leaving oversold territory).
Short-term MA crosses above the long-term MA.
MACD line crosses above the signal line.
Sell Signal: Triggered when:
RSI crosses below 70 (leaving overbought territory).
Short-term MA crosses below the long-term MA.
MACD line crosses below the signal line.
Visualization:
The indicator plots the short-term and long-term moving averages on the price chart.
Green "BUY" labels appear below price bars when all buy conditions are met.
Red "SELL" labels appear above price bars when all sell conditions are met.
Parameters:
RSI Length: Default is 14. This controls the sensitivity of the RSI.
Short MA Length: Default is 9. This determines the short-term trend.
Long MA Length: Default is 21. This determines the long-term trend.
Use Case:
The Multi-Feature Indicator is ideal for traders seeking higher confirmation before entering or exiting trades. By combining momentum (RSI), trend (MA), and momentum shifts (MACD), it reduces false signals and enhances decision-making.
How to Use:
Apply the indicator to your chart in TradingView.
Look for "BUY" or "SELL" signals, which appear when all conditions align.
Use this tool in conjunction with other analysis techniques for best results.
Note:
The default settings are suitable for many assets, but you may need to adjust them for different timeframes or market conditions.
This indicator is meant to assist in trading decisions and should not be used as the sole basis for trading.
Cosine Kernel Regressions [QuantraSystems]Cosine Kernel Regressions
Introduction
The Cosine Kernel Regressions indicator (CKR) uses mathematical concepts to offer a unique approach to market analysis. This indicator employs Kernel Regressions using bespoke tunable Cosine functions in order to smoothly interpret a variety of market data, providing traders with incredibly clean insights into market trends.
The CKR is particularly useful for traders looking to understand underlying trends without the 'noise' typical in raw price movements. It can serve as a standalone trend analysis tool or be combined with other indicators for more robust trading strategies.
Legend
Fast Trend Signal Line - This is the foreground oscillator, it is colored upon the earliest confirmation of a change in trend direction.
Slow Trend Signal Line - This oscillator is calculated in a similar manner. However, it utilizes a lower frequency within the cosine tuning function, allowing it to capture longer and broader trends in one signal. This allows for tactical trading; the user can trade smaller moves without losing sight of the broader trend.
Case Study
In this case study, the CKR was used alongside the Triple Confirmation Kernel Regression Oscillator (KRO)
Initially, the KRO indicated an oversold condition, which could be interpreted as a signal to enter a long position in anticipation of a price rebound. However, the CKR’s fast trend signal line had not yet confirmed a positive trend direction - suggesting that entering a trade too early and without confirmation could be a mistake.
Waiting for a confirmed positive trend from the CKR proved beneficial for this trade. A few candles after the oversold signal, the CKR's fast trend signal line shifted upwards, indicating a strong upward momentum. This was the optimal entry point suggested by the CKR, occurring after the confirmation of the trend change, which significantly reduced the likelihood of entering during a false recovery or continuation of the downtrend.
This is one of the many uses of the CKR - by timing entries using the fast signal line , traders could avoid unnecessary losses by preventing premature entries.
Methodology
The methodology behind CKR is a multi-layered approach and utilizes many ‘base’ indicators.
Relative Strength Index
Stochastic Oscillator
Bollinger Band Percent
Chande Momentum Oscillator
Commodity Channel Index
Fisher Transform
Volume Zone Oscillator
The calculated output from each indicator is standardized and scaled before being averaged. This prevents any single indicator from overpowering the resulting signal.
// ╔════════════════════════════════╗ //
// ║ Scaling/Range Adjustment ║ //
// ╚════════════════════════════════╝ //
RSI_ReScale (_res ) => ( _res - 50 ) * 2.8
STOCH_ReScale (_stoch ) => ( _stoch - 50 ) * 2
BBPCT_ReScale (_bbpct ) => ( _bbpct - 0.5 ) * 120
CMO_ReScale (_chandeMO ) => ( _chandeMO * 1.15 )
CCI_ReScale (_cci ) => ( _cci / 2 )
FISH_ReScale (_fish1 ) => ( _fish1 * 30 )
VZO_ReScale (_VP, _TV ) => (_VP / _TV) * 110
These outputs are then fed into a customized cosine kernel regression function, which smooths the data, and combines all inputs into a single coherent output.
// ╔════════════════════════════════╗ //
// ║ COSINE KERNEL REGRESSIONS ║ //
// ╚════════════════════════════════╝ //
// Define a function to compute the cosine of an input scaled by a frequency tuner
cosine(x, z) =>
// Where x = source input
// y = function output
// z = frequency tuner
var y = 0.
y := math.cos(z * x)
Y
// Define a kernel that utilizes the cosine function
kernel(x, z) =>
var y = 0.
y := cosine(x, z)
math.abs(x) <= math.pi/(2 * z) ? math.abs(y) : 0. // cos(zx) = 0
// The above restricts the wave to positive values // when x = π / 2z
The tuning of the regression is adjustable, allowing users to fine-tune the sensitivity and responsiveness of the indicator to match specific trading strategies or market conditions. This robust methodology ensures that CKR provides a reliable and adaptable tool for market analysis.
Multi Timeframe Indicator Signals [pAulseperformance]█ Concept:
In this TradingView Pine Script publication, we introduce a powerful tool that offers extensive capabilities for traders and analysts. With a focus on combining multiple indicators, analyzing various timeframes, and fine-tuning your trading strategies, this tool empowers you to make informed trading decisions.
█ Key Features:
1. Combining Multiple Rules with AND / OR Operations
• Example: You can combine the Relative Strength Index (RSI) with the Moving Average Convergence Divergence (MACD) by selecting the "AND" operation. This ensures that you only get a signal when both indicators generate signals. Alternatively, you can add custom indicators and select "OR" to create more complex strategies.
2. Selecting Multiple Indicators on Different Timeframes
• Analyze the same indicator on different timeframes to get a comprehensive view of market conditions.
3. Reversing Signals
• Reverse signals generated by indicators to adapt to various market conditions and strategies.
4. Extending Signals
• Extend signals by specifying conditions such as "RSI cross AND MA cross WITHIN 2 bars."
5. Feeding Results into Backtesting Engine
• Evaluate the performance of your strategies by feeding the results into a backtesting engine.
█ Available Indicators:
External Inputs
• Combine up to 4 custom indicators to assess their effectiveness individually and in combination with other indicators.
MACD (Moving Average Convergence Divergence)
• Analyze MACD signals across multiple timeframes and customize your strategies.
• Signal Generators:
• Signal 1: 🔼 (+1) MACD ⤯ MACD Signal Line 🔽 (-1) MACD ⤰ MACD Signal Line
• Signal 2: 🔼 (+1) MACD ⤯ 0 🔽 (-1) MACD ⤰ 0
• Filter 1: 🔼 (+1) MACD > 0 🔽 (-1) MACD < 0
RSI (Relative Strength Index)
• Utilize RSI signals with flexibility across different timeframes.
• Signal Generators:
• Signal 1: 🔼 (+1) RSI ⤯ Oversold 🔽 (-1) RSI ⤰ Overbought
• Signal 2: 🔼 (+1) RSI ⤰ Oversold 🔽 (-1) RSI ⤯ Overbought
• Filter 1: 🔼 (+1) RSI <= Oversold 🔽 (-1) RSI >= Overbought
MA1 and MA2 (Moving Averages)
• Choose from various types of moving averages and analyze them across multiple timeframes.
• Signal Generators:
• Filter 1: 🔼 (+1) Source Above MA 🔽 (-1) Source Below MA
• Filter 2: 🔼 (+1) MA Rising 🔽 (-1) MA Falling
• Signal 1: 🔼 (+1) Source ⤯ MA 🔽 (-1) Source ⤰ MA
Bollinger Bands
• Multi Time Frame
• Signal Generators:
• Signal 1: 🔼 (+1) Close ⤯ BBLower 🔽 (-1) Close ⤰ BBUpper
• Signal 2: 🔼 (+1) Close ⤰ BBLower 🔽 (-1) Close ⤯ BBUpper
Stochastics
• Customize your MTF Stochastics analysis between Normal Stochastic and Stochastic RSI.
• Signal Generators:
• Filter 1: 🔼 (+1) K < OS 🔽 (-1) K > OB
• Signal 1: 🔼 (+1) K ⤯ D 🔽 (-1) K ⤰ D
• Signal 2: 🔼 (+1) K ⤯ OS 🔽 (-1) K ⤰ OB
• Signal 3: 🔼🔽 Filter 1 And Signal 1
Ichimoku Cloud
• MTF
• Signal Generators:
• Signal 1: 🔼 (+1) Close ⤯ Komu Cloud 🔽 (-1) Close ⤰ Komu Cloud
• Signal 2: 🔼 (+1) Kumo Cloud Red -> Green 🔽 (-1) Kumo Cloud Green -> Red
• Signal 3: 🔼 (+1) Close ⤯ Kijun Sen 🔽 (-1) Close ⤰ Kijun Sen
• Signal 4: 🔼 (+1) Tenkan Sen ⤯ Kijun Sen 🔽 (-1) Tenkan Sen ⤰ Kijun Sen
SuperTrend
• MTF
• Signal Generators:
• Signal 1: 🔼 (+1) Close ⤯ Supertrend 🔽 (-1) Close ⤰ Supertrend
• Filter 1: 🔼 (+1) Close > Supertrend 🔽 (-1) Close < Supertrend
Support And Resistance
• Receive signals when support/resistance levels are breached.
Price Action
• Analyze price action across various timeframes.
• Signal Generators:
• Signal 1 (Bar Up/Dn): 🔼 (+1) Close > Open 🔽 (-1) Close < Open
• Signal 2 (Consecutive Up/Dn): 🔼 (+1) Close > Previous Close # 🔽 (-1) Close < Previous Close #
• Signal 3 (Gaps): 🔼 (+1) Open > Previous High 🔽 (-1) Open < Previous Low
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Unlock the full potential of these indicators and tools to enhance your trading strategies and improve your decision-making process. With over 10 indicators and more than 30 different ways to generate signals you can rapidly test combinations of popular indicators and their strategies with ease. If your interested in more indicators or I missed a strategy, leave a comment and I can add it in the next update.
Happy trading!
Buying and Selling Pressure Raw Multi (TG Fork)Visualize raw buying and selling pressure via 3 different calculation methods, all superimposed with dynamic rescaling.
Buying and selling pressure is the concept of quantifying the disproportion between buying and selling. In practice, there is no single definitive way to calculate it.
This indicator is a merge to display three different methods to calculate buying and selling pressure, with automatic visual rescaling to superimpose the three simultaneously, updated to PineScript v5, and with some additional improvements for speed and calculation precisions, and instead of the EMA, other types of moving averages can be used.
I primarily made it for my own needs, but as always, I like sharing with the community, as maybe others may find this useful too.
How to use:
* As often, the goal is to get as many of the 3 signals concur together to get a stronger aggregated signal.
* First signal: If the green bars on the histogram are bigger than the red ones, then there is more buying pressure, and vice versa.
* Second signal: If the background is green, there is more buying pressure, and vice versa if the background is orange. The yellow and green lines define the background color, but they are by default hidden for a less cluttered visual experience.
* Third signal: If the cloud is blue, there is more buying pressure, and the bigger the cloud, the more momentum there is for it to stay (and more difficult it is to reverse to selling pressure). If the cloud is red, there is more selling pressure.
If you like this indicator, please don't give me any credit, instead please show some love to the original authors (in no particular order):
ceyhun:
daytraderph (I could not find the link to the original script, the page is inaccessible?):
www.tradingview.com
fract:
Multi indicators tableThis is a comprehensive trading tool that presents an overview of the market in a tabular format. It consists of five distinct categories of trading indicators : Volatility, Trend, Momentum, Reversal, and Volume. Each category includes a series of indicators that are widely used in the trading communauty.
The Volatility category includes the Average True Range (ATR) and Bollinger Bands indicators. The Trend category comprises the Average Directional Index (ADX), four Exponential Moving Averages (EMAs), Aroon, Parabolic SAR, and the Supertrend. The Momentum category includes the Stochastic Relative Strength Index (StochRSI), Money Flow Index (MFI), Williams %R, Relative Strength Index (RSI), and Commodity Channel Index (CCI). The Reversal category includes Parabolic SAR, Moving Average Convergence Divergence (MACD), and PP Supertrend. Finally, the Volume category includes the Volume Exponential Moving Average (EMA) indicator.
The indicators states are easily readable, the indicator case is colored based on his actual state. A bullish color (green by default), a bearish color (red by default),
a very bullish color (dark green by default), a very bearish color (dark red by default) and a neutral color (gray by default) displayed when the indicator doesn't give us a clear signal. Some indicators do not have a very bullish or very bearish state. Concerning volatility indicators, the bullish color indicates high volatility, the bearish color indicates low volatility, and the neutral color indicates normal volatility.
Most of the indicators displayed in the table are customizable, and traders can choose to hide the categories they don't want to use. The Indicator provides a quick and easily readable view on the market and allows traders to reduce the number of indicators on their chart making it lighter and more readable.
The Trend Oracle - The Ultimate Position ToolThe Trend Oracle is a superadaptive multi-timeframe Indicator
Ideal timeframes are 4H, and 1D
It is based on a combination of several other indicators including:
- The Superstrength Index - An adaptive indicator using volume weighted average of the traditional RSI, MFI and OBV
- The Superfast MACD - An adaptive zero lag MACD
- ADX Trend - A tweaked version of the ADX
- Chop Zones - A combination of 2 Chop indexes to identify trending and non trending conditions.
- The Adaptive Supertrend - An adaptive version of the Supertrend, (switching multipliers based on the market trend)
- Breakout & Breakdown - An algorithm computing volume compression and expansion to indicate breakout & breakdown signals.
- [bBullish and Bearish Divergences - Confirmed Bull and Bear divs shown as green and red dots at the top and bottom of the indicator.
Areas highlighted in Aqua are bullish, red are bearish.
Use this indicator as a tool to position yourself over longer timeframes.
Enjoy!
MM :)
TradeChartist Tracker Lite™TradeChartist Tracker Lite is the lite version of ™TradeChartist Tracker and it is an essential real-time multi Indicator tracking toolkit that can be plotted as a standalone Indicator plot and/or a multi symbol tracker/screener for upto 5 different symbols . The indicators included in the tracker are Stochastic Oscillator, RSI , CCI , 10 different Moving Averages, MACD , Bollinger Bands %B, Net Volume and Heikin Ashi Trend.
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™𝗧𝗿𝗮𝗱𝗲𝗖𝗵𝗮𝗿𝘁𝗶𝘀𝘁 𝗧𝗿𝗮𝗰𝗸𝗲𝗿 𝗟𝗶𝘁𝗲 𝗨𝘀𝗲𝗿 𝗠𝗮𝗻𝘂𝗮𝗹
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™TradeChartist Tracker Lite Plot Types
==================================
™TradeChartist Tracker Lite can be used to plot the following.
1. Indicator plot of Chart Symbol on its own, chosen from the 𝗜𝗻𝗱𝗶𝗰𝗮𝘁𝗼𝗿 𝗧𝘆𝗽𝗲 dropdown, enabling 𝐃𝐢𝐬𝐩𝐥𝐚𝐲 𝐈𝐧𝐝𝐢𝐜𝐚𝐭𝐨𝐫 𝐏𝐥𝐨𝐭 (𝐝𝐢𝐬𝐚𝐛𝐥𝐞𝐬 𝐓𝐫𝐚𝐜𝐤𝐞𝐫).
In this example Daily chart of XRP-USDT, 55 period Stochastic is tracked for the chart symbol XRP-USDT.
2. Indicator plot of a Symbol different from the Chart Symbol on its own, chosen from the 𝗜𝗻𝗱𝗶𝗰𝗮𝘁𝗼𝗿 𝗧𝘆𝗽𝗲 dropdown by enabling Tʀᴀᴄᴋ ᴀɴᴏᴛʜᴇʀ Sʏᴍʙᴏʟ's Iɴᴅɪᴄᴀᴛᴏʀ and entering the symbol name in the Sʏᴍʙᴏʟ ᴛᴏ Tʀᴀᴄᴋ input box, whilst keeping 𝐃𝐢𝐬𝐩𝐥𝐚𝐲 𝐈𝐧𝐝𝐢𝐜𝐚𝐭𝐨𝐫 𝐏𝐥𝐨𝐭 (𝐝𝐢𝐬𝐚𝐛𝐥𝐞𝐬 𝐓𝐫𝐚𝐜𝐤𝐞𝐫) enabled.
In this example Daily chart of XRP-USDT, 55 period Stochastic is tracked for the chart symbol BTC-USD.
3. Upto 5 Multiple Symbol Trackers for the Indicator chosen from the 𝗜𝗻𝗱𝗶𝗰𝗮𝘁𝗼𝗿 𝗧𝘆𝗽𝗲 dropdown, by disabling 𝐃𝐢𝐬𝐩𝐥𝐚𝐲 𝐈𝐧𝐝𝐢𝐜𝐚𝐭𝐨𝐫 𝐏𝐥𝐨𝐭 (𝐝𝐢𝐬𝐚𝐛𝐥𝐞𝐬 𝐓𝐫𝐚𝐜𝐤𝐞𝐫) and by entering the number of trackers required in the 𝐍𝐮𝐦𝐛𝐞𝐫 𝐨𝐟 𝐓𝐫𝐚𝐜𝐤𝐞𝐫𝐬 input box under 𝗧𝗿𝗮𝗰𝗸𝗲𝗿 𝗣𝗹𝗼𝘁𝘀 section. Upto 5 Symbols can be tracked and can be input by the user in the input boxes from Sʏᴍʙᴏʟ 1,...Sʏᴍʙᴏʟ 5 . 𝐃𝐢𝐬𝐩𝐥𝐚𝐲 𝐈𝐧𝐝𝐢𝐜𝐚𝐭𝐨𝐫 𝐏𝐥𝐨𝐭 (𝐝𝐢𝐬𝐚𝐛𝐥𝐞𝐬 𝐓𝐫𝐚𝐜𝐤𝐞𝐫) must be disabled for this plot type.
In this example Daily chart of Crypto Total Market Cap, Bollinger Bands %B is tracked for the chart symbol + 5 other Crypto symbols using Multi Symbol Trackers
4. Indicator Tracker labels can be plotted on Price chart by overlaying the Tracker on main chart and by switching from Separate Tracker Pane - Default to Tracker Labels only on Price Scale in the Lᴀʙᴇʟs Dɪsᴘʟᴀʏ Tʏᴘᴇ dropdown box.
In this example chart of 1hr XLM-USDT, Tracker labels of 55 EMA are plotted for 5 different symbols along with the 55 EMA plot of XLM-USDT.
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𝗜𝗻𝗱𝗶𝗰𝗮𝘁𝗼𝗿𝘀 𝗜𝗻𝗰𝗹𝘂𝗱𝗲𝗱 𝗶𝗻 ™𝗧𝗿𝗮𝗱𝗲𝗖𝗵𝗮𝗿𝘁𝗶𝘀𝘁 𝗧𝗿𝗮𝗰𝗸𝗲𝗿 𝗟𝗶𝘁𝗲
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1. Stochastic Oscillator
2. RSI
3. CCI
4. MA - (10 types included)
5. MACD
6. Bollinger Bands %B
7. Net Volume
8. Heikin Ashi Trend
All of the above indicators can be plotted as independent plots of the Chart Symbol or of a different symbol by enabling 𝐃𝐢𝐬𝐩𝐥𝐚𝐲 𝐈𝐧𝐝𝐢𝐜𝐚𝐭𝐨𝐫 𝐏𝐥𝐨𝐭 (𝐝𝐢𝐬𝐚𝐛𝐥𝐞𝐬 𝐓𝐫𝐚𝐜𝐤𝐞𝐫). Some Oscillators have the option of Pʟᴏᴛ Sᴛʏʟᴇ under their relevant sections, and can be plotted as line, area or a histogram.
Oscillators 1-6 require source price, lookback length and smoothing (where available) for the indicator plot. The colour of the tracker blocks is based on the Upper/Lower bands (where available), specified by the user in the respective sections. For example, if the RSI indicator is chosen to be plotted with Upper band at 60 and Lower band at 40 , the tracker blocks and the Indicator plot paint the values between 40 and 60 in neutral colour which can be changed from the settings.
Multi Window US30 example chart below with various indicators from ™TradeChartist Tracker Lite.
Moving Averages (MA) and MACD
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Tracker Lite plots and tracks one of 10 Moving Averages that can be chosen from the MA ᴛʏᴘᴇ and by specifying the MA Lᴇɴɢᴛʜ .
MACD uses EMA as default for calculating the MACD plots and Tracker data using Fᴀsᴛ Lᴇɴɢᴛʜ , Sʟᴏᴡ Lᴇɴɢᴛʜ and Sᴍᴏᴏᴛʜɪɴɢ . To experiment or use a different Moving Average to calculate MACD , disable 𝐔𝐬𝐞 𝐄𝐌𝐀 (Uɴᴄʜᴇᴄᴋ ᴛᴏ ᴜsᴇ MA ғʀᴏᴍ ᴀʙᴏᴠᴇ) and select the required Moving Average from MA ᴛʏᴘᴇ drop down of the 𝟰. 𝗠𝗼𝘃𝗶𝗻𝗴 𝗔𝘃𝗲𝗿𝗮𝗴𝗲 section.
Net Volume and Heikin Ashi Trend
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Net Volume and Heikin Ashi Trend can be tracked and plotted for up to 5 symbols in addition to the chart symbol, but both Net Volume and Heikin Ashi Trend. Since the colour of the Net Volume depends on candle being bullish or bearish , it can help the user visualize if the current candle close of the symbol tracked is above or below the symbols's candle open.
Note: Bar Replay doesn't update the bar by bar indicator plot for historic bars for symbols other than the chart symbol. However, the Indicator Plot is perfectly usable for the realtime bar as data updates for both the Trackers and the indicator plot in realtime.
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𝗠𝘂𝗹𝘁𝗶 𝗦𝘆𝗺𝗯𝗼𝗹 𝗧𝗿𝗮𝗰𝗸𝗲𝗿𝘀/𝗟𝗮𝗯𝗲𝗹𝘀
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Multi Symbol Tracker blocks continuously track the real-time indicator data of up to 5 symbols (in addition to the chart symbol) based on the number of Symbol Trackers preferred in the 𝐍𝐮𝐦𝐛𝐞𝐫 𝐨𝐟 𝐒𝐲𝐦𝐛𝐨𝐥 𝐓𝐫𝐚𝐜𝐤𝐞𝐫𝐬 (𝟎-𝟓) input box under the 𝗧𝗿𝗮𝗰𝗸𝗲𝗿 𝗣𝗹𝗼𝘁𝘀 section, and plots Bull, Bear and Neutral colour coded blocks based on both the indicator selected and settings preferred by the user under the relevant indicator section.
Multi Symbol Tracker Labels also continuously track the real-time indicator data in addition to the last close price (if 𝐒𝐡𝐨𝐰 𝐏𝐫𝐢𝐜𝐞 is enabled under 𝗧𝗿𝗮𝗰𝗸𝗲𝗿 𝗣𝗹𝗼𝘁𝘀 section), which helps user see the real-time changes in the indicator values and price changes of the symbols tracked.
The Tracker Label colours are exactly the same as the Tracker Block colours and are filtered based on the user preferred bands on the Oscillator values. For example, if the user prefers RSI upper band of 60 and lower band of 40 , the range between the values of 40 and 60 will be colour coded in neutral colour which can be changed from the 𝗨𝘀𝗲𝗳𝘂𝗹 𝗘𝘅𝘁𝗿𝗮𝘀 section of the indicator settings.
Note 1: Default settings are based on the Oscillator mid values. Using Upper and Lower bands for oscillators help spot the oversold and overbought zones and also helps spot breakout threshold based on Indicator values specified by the user. Example chart with visual depiction below using RSI .
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Frequently Asked Questions
========================
Q: When I load the ™TradeChartist Tracker Lite, why are the values in the labels blurred sometimes?
A: This happens occasionally as shown in the chart below, when the script is loaded for the first time or when a different setting is used.
To resolve this, just hide and unhide the script using the 👁 next to the Indicator title. If it is not visible, just hover the mouse/crosshair over the Indicator Title and it will be visible.
Q: Why does the indicator plot, tracker blocks and labels of Symbols being tracked, not update when I use Bar Replay?
A: As explained in the relevant sections above, historic data for bars and indicators other than chart symbol doesn't update on bar replay. But the chart symbol data does update for every bar on bar replay. This doesn't affect the real-time values and block colours for the symbols tracked.
Q: Can I track real-time values of a currently trading symbol when I'm on a symbol chart that is inactive? For example, can I see labels with real-time BTC values on a Sunday when I'm on a SPX chart when its not in session?
A: Simple answer is no. This is because, the plots are based on bar times of the chart and the symbols are tracked based on the bar time. So if the SPX session ended on Friday, the last known value of the BTC labels will be from Friday and hence it is always recommended to track symbols from a symbol chart that is in session.
Q: Does ™TradeChartist Tracker Lite repaint?
A: This indicator doesn't repaint but it is not recommended to trade a different symbol from the chart based on the real-time data alone without checking if the current symbol chart is in session as inactive price chart will not have updated data on symbols tracked. Also, bar replay doesn't work on data pulled from external symbol data than the chart symbol, but signals confirmed at candle close and confirmed by Tracker blocks with appropriate colour code will be in agreement with the respective indicator and can be double checked for building trust and confidence on the indicator. Also, the indicator is a good companion tool to track various indicators and prices, especially of symbols other than the chart symbol, but, to trade the symbol other than the chart symbol, user must refer to the respective chart.
Q: Can ™TradeChartist Tracker Lite be connected to other indicators as external source?
A: Yes. ™TradeChartist Tracker Lite can be connected to another script and there are several use cases in doing so. A couple of examples are shown below.
1. ™TradeChartist Tracker Lite Bollinger Bands %B 𝗜𝗻𝗱𝗶𝗰𝗮𝘁𝗼𝗿 𝗣𝗹𝗼𝘁 connected to ™TradeChartist Plotter to plot Divergences on the 4hr XAU-USD main price chart.
2. ™TradeChartist Tracker Lite 55 period Stochastic 𝗜𝗻𝗱𝗶𝗰𝗮𝘁𝗼𝗿 𝗣𝗹𝗼𝘁 connected to ™TradeChartist Plug and Trade as Oscillatory Signal with 0/0 to generate trade signals with Targets and performance information on trades.
More Example Charts
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Best Practice: Test with different settings first using Paper Trades before trading with real money
The indicator is a good companion tool to track various indicators and prices, especially of symbols other than the chart symbol, but, to trade the symbol other than the chart symbol, user must refer to the respective chart.
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Eclub Multi IndicatorThis multi Indicator includes:
3 Moving Averages
2 Exponential Moving Averages
Bollinger Band
Ichimoku
Parabolic SAR
You can change the colors if you want. Go to setting to enable Ichimoku or SAR or disable others.
The color tolerance is by default zero which results in a very sensitive color change. You can change it to decrease the sensitivity. The value should be the last decimal of the price or the last two decimals of price etc.
If you like this indicator donate some BTC to the following address:
BTC address:
18NSD2xdJyYWoC4CSr4xg1hMk2q5cBbr8T
MultiIndicatorThis is just a bunch of useful funtions and
a recommenation how to construct a multiindicator for the sake of economy :))
