Metallic Retracement LevelsThere's something that's always bothered me about how traders use Fibonacci retracements. Everyone treats the golden ratio like it's the only game in town, but mathematically speaking, it's completely arbitrary. The golden ratio is just the first member of an infinite family of metallic means, and there's no particular reason why 1.618 should be special for markets when we have the silver ratio at 2.414, the bronze ratio at 3.303, and literally every other metallic mean extending to infinity. We just picked one and decided it was magical.
The metallic means are a sequence of mathematical constants that generalize the golden ratio. They're defined by the equation x² = kx + 1, where k is any positive integer. When k equals 1, you get the golden ratio. When k equals 2, you get the silver ratio. When k equals 3, you get bronze, and so on forever. Each metallic mean generates its own set of ratios through successive powers, just like how the golden ratio gives you 0.618, 0.382, 0.236 and so forth. The silver ratio produces a completely different set of retracement levels, as does bronze, as does any arbitrary metallic number you want to choose.
This indicator calculates these metallic means using the standard alpha and beta formulas. For any metallic number k, alpha equals (k + sqrt(k² + 4)) / 2, and we generate retracement ratios by raising alpha to various negative powers. The script algorithmically generates these levels instead of hardcoding them, which is how it should have been done from the start. It's genuinely silly that most fib tools just hardcode the ratios when the math to generate them is straightforward. Even worse, traditional fib retracements use 0.5 as a level, which isn't even a fibonacci ratio. It's just thrown in there because it seems like it should be important.
The indicator works by first detecting swing points using the Sylvain Zig-Zag . The zig-zag identifies significant price swings by combining percentage change with ATR adjustments, filtering out noise and connecting major pivot points. This is what drives the retracement levels. Once a new swing is confirmed, the script calculates the range between the last two pivot points and generates metallic retracement levels from the most recent swing low or high.
You can adjust which metallic number to use (golden, silver, bronze, or any positive integer), control how many power ratios to display above and below the 1.0 level, and set how many complete retracement cycles you want drawn. The levels extend from the swing point and show you where price might react based on whichever metallic mean you've selected. The zig-zag settings let you tune the sensitivity of swing detection through ATR period, ATR multiplier, percentage reversal, and additional absolute or tick-based reversal values.
What this really demonstrates is that retracement analysis is more flexible than most traders realize. There's no mathematical law that says markets must respect the golden ratio over any other metallic mean. They're all valid mathematical constructs with the same kind of recursive properties. By making this tool, I wanted to highlight that using fibonacci retracements involves an arbitrary choice, and maybe that choice should be more deliberate or at least tested against alternatives. You can experiment with different metallic numbers and see which ones seem to work better for your particular market or timeframe, or just use this to understand that the standard fib levels everyone uses aren't as fundamental as they appear.
Trend
Composite Stochastic Oscillator (CSO) [SharpStrat]Composite Stochastic Oscillator (CSO)
The Composite Stochastic Oscillator (CSO) is a refined momentum tool designed to improve on the limitations of the traditional stochastic indicator. Standard stochastics are often too sensitive, producing choppy signals and frequent false turns. CSO tackles this problem by combining multiple stochastic calculations, each with different lengths and smoothing settings, into a single, balanced output.
The goal of combining these stochastic variants is to create a more stable and reliable reading of market momentum. Each version of the stochastic captures different aspects of price behavior like shorter ones react faster, while longer ones filter noise. CSO brings them together mathematically to form a composite oscillator that reacts smoothly and consistently across varying market conditions. This makes it a useful improvement over the standard stochastic, providing traders with a more dependable signal while retaining the familiar interpretation framework.
How It Works
Calculates five independent stochastic oscillators with customizable K, D, and slowing parameters.
Each stochastic contributes to the final composite value according to its assigned weight, allowing the user to emphasize faster or slower reactions.
The resulting composite K is then smoothed into a D line using a chosen moving average method (SMA, EMA, WMA, or RMA).
The oscillator is plotted along with optional overbought/oversold levels and a color fill to enhance visual interpretation.
A compact on-chart table displays the current K and D readings for quick reference.
Comparison with normal Stochastic
Compared to a standard stochastic, the CSO generally produces smoother lines and fewer false flips. As evident in the comparison chart, this improves upon the normal stochastic by reducing noise and making signals more reliable, although results depend on parameter settings too.
How To Use It
Use the CSO exactly like a normal stochastic: look for crossovers, overbought/oversold zones, and divergences.
In practice, CSO should provides smoother and more consistent signals than the regular stochastic, especially in sideways or volatile markets.
When plotted beside a standard stochastic, you’ll notice CSO avoids many of the false reversals that clutter traditional readings.
Customization Options
Choice of smoothing method (SMA, EMA, WMA, RMA).
Full control over each stochastic component’s parameters and weights.
Adjustable overbought/oversold levels and display preferences.
Option to enable or disable the on-chart table and zone fills.
Note
This indicator is shared purely for educational and research purposes. It is not financial advice and should not be treated as a ready-made trading system.
I encourage you to experiment with different parameter values (periods, weights, smoothing) to explore how the behavior changes and to learn from the results.
NovaQore Trend Strength Meter📊 ENGLISH VERSION
Script Title: NovaQore Trend Strength Meter
📈 TREND STRENGTH METER
Technical indicator designed for real-time analysis of trend strength and direction.
🔍 Features
This indicator provides:
Quantitative trend measurement - Numerical score from -100 to +100 indicating direction (positive = bullish, negative = bearish) and intensity of market movement.
Visual strength zones - Colored areas that automatically identify:
Strong trends (intense zones beyond ±70)
Moderate trends (intermediate zones)
Weak or ranging markets (gray zone between -30 and +30)
Change signals - Automatic identification of:
Entry into strong trend phase ("STRONG" markers)
Zero line crossovers (potential reversals "REV")
Trend weakening (movement toward gray zone)
Information dashboard - Real-time display of Score, Strength (absolute force) and interpretative Status of current trend.
⚙️ Configurable Parameters
Trend Period (14): Calculation period for trend measurement. Lower values (10-12) make the indicator more responsive, higher values (16-20) make it more stable and filter noise.
Smoothing Period (3): Smoothing level applied to final calculation. Range 1-20, where 1 = maximum responsiveness, 20 = maximum stability.
ATR Period (14): Period for Average True Range calculation used in normalization. Range 5-50.
Strong Trend Level (70): Threshold for identifying strong trends. Values beyond this threshold indicate significant directional movements. Range 50-100.
Weak Trend Level (30): Threshold for identifying weak or absent trends. Values within ±30 suggest ranging markets. Range 0-50.
Display Options: Switches to enable/disable colored zones, visual signals and histogram.
📊 How to Use
The indicator displays a continuous score oscillating between -100 and +100:
Positive values indicate bullish trend
Negative values indicate bearish trend
Proximity to zero indicates absence of clear trend
Signals appear when:
Score exceeds "Strong" threshold (STRONG triangles)
Score crosses zero line (REV circles)
Market enters weak zone (color change)
Colored zones indicate:
Intense green/red: Strong directional trend
Light green/red: Moderate trend
Gray: Ranging market or weak trend
Tip: Use in combination with price action analysis, support/resistance levels and other confirmation tools to validate trading setups.
🎨 Customization
Fully customizable colors - Professional gold/black default scheme, modifiable according to personal preferences.
Configurable alerts - Notifications available for:
Entry into strong trend (bullish/bearish)
Trend reversals
Entry into weak zone
Adaptable display options - Ability to individually enable/disable colored zones, signals and histogram according to analysis needs.
⚠️ Important Notes
This is an educational technical analysis tool
Does not provide automatic trading signals or investment recommendations.
Requires interpretation and confirmation
The indicator measures market conditions that must be evaluated by the trader within the context of a complete strategy.
Always backtest on historical data
Before operational use, verify indicator behavior on the asset and timeframe of interest through backtesting.
Technical limitations:
The indicator uses moving averages and presents physiological lag relative to price
In very volatile markets or during news events may generate early or late signals
In prolonged ranging markets the score oscillates frequently in the gray zone
Does not include risk management, stop loss or position sizing
📚 Methodology
The indicator is based on a combination of Average Directional Index (ADX) and Directional Indicators (+DI, -DI), technical algorithms developed by J. Welles Wilder in the 1970s.
The calculation proceeds through:
Measurement of directional movements (upMove, downMove)
Normalization via Average True Range
Calculation of directional indicators (+DI, -DI)
ADX derivation to measure strength
Smoothing application via exponential moving average
Final score normalization to -100/+100 scale
This approach combines information about trend direction and intensity into a single interpretable value.
⚡ Compatibility
All timeframes - From 1 minute to monthly, with optimal performance on 15-minute and higher timeframes.
All markets - Forex, Cryptocurrency, Stocks, Indices, Commodities.
Usable with other indicators - No conflicts, displayable in separate window.
🎯 Suggested Use Cases
Pre-trade filter: Before entering a setup identified with other methods, verify that the score confirms the trade direction and does not indicate a market in weak zone.
Breakout confirmation: When price breaks key levels, an increase in score in the breakout direction can confirm movement validity.
Open position monitoring: During a trade, progressive score weakening (movement toward gray zone or zero crossing) may suggest considering partial or total closures.
Ranging market identification: Score persistently oscillating in gray zone (-30/+30) identifies unfavorable conditions for trend-following strategies.
📊 Practical Analysis Example
Scenario: Trader identifies a double bottom pattern on H1 chart.
Analysis with Trend Strength Meter:
Check current score
If score > +50: Bullish trend supports long setup
If score between -30 and +30: Ranging market, risky setup
If score < -30: Contrary trend, avoid trade
Management: Monitor score during trade. If drops below +30, consider partial exit. If crosses zero, evaluate total closure.
This is an educational example of analysis methodology, not an operational recommendation.
🔧 Settings for Different Trading Styles
Scalping (M1-M5):
Trend Period: 10
Smoothing: 2
Strong Level: 60
Result: More reactive, higher number of signals
Day Trading (M15-H1):
Trend Period: 14 (default)
Smoothing: 3 (default)
Strong Level: 70 (default)
Result: Balanced between speed and reliability
Swing Trading (H4-D1):
Trend Period: 20
Smoothing: 5
Strong Level: 75
Result: More stable, filters minor movements
These are generic examples. Each trader should calibrate parameters according to their style and traded asset characteristics.
⚠️ Disclaimer
This indicator is provided for educational and informational purposes only. It does not constitute financial advice, investment recommendation or trading solicitation.
Trading involves significant risks of capital loss. Past performance does not guarantee future results.
Users are responsible for their own trading decisions and should:
Fully understand trading risks
Always use proper risk management
Not invest more than they can afford to lose
Consider consulting a qualified financial advisor
The author assumes no responsibility for losses or damages arising from use of this tool.
Developed by NovaQore FX
📈 TREND STRENGTH METER
Indicatore tecnico progettato per l'analisi della forza e direzione del trend in tempo reale.
🔍 Funzionalità
Questo indicatore fornisce:
Misurazione quantitativa del trend - Score numerico da -100 a +100 che indica direzione (positivo = rialzo, negativo = ribasso) e intensità del movimento di mercato.
Zone di forza visive - Aree colorate che identificano automaticamente:
Trend forti (zone intense oltre ±70)
Trend moderati (zone intermedie)
Mercati deboli o laterali (zona grigia tra -30 e +30)
Segnali di cambiamento - Identificazione automatica di:
Ingresso in fase di trend forte ("STRONG")
Attraversamento della linea zero (possibili inversioni "REV")
Indebolimento del trend (movimento verso zona grigia)
Dashboard informativa - Visualizzazione in tempo reale di Score, Strength (forza assoluta) e Status interpretativo del trend corrente.
⚙️ Parametri Configurabili
Trend Period (14): Periodo di calcolo per la misurazione del trend. Valori più bassi (10-12) rendono l'indicatore più reattivo, valori più alti (16-20) lo rendono più stabile e filtrano il rumore.
Smoothing Period (3): Livello di smoothing applicato al calcolo finale. Range 1-20, dove 1 = massima reattività, 20 = massima stabilità.
ATR Period (14): Periodo per il calcolo dell'Average True Range usato nella normalizzazione. Range 5-50.
Strong Trend Level (70): Soglia per identificare trend forti. Valori oltre questa soglia indicano movimenti direzionali significativi. Range 50-100.
Weak Trend Level (30): Soglia per identificare trend deboli o assenti. Valori entro ±30 suggeriscono mercati laterali. Range 0-50.
Display Options: Switch per attivare/disattivare zone colorate, segnali visivi e istogramma.
📊 Come Utilizzarlo
L'indicatore visualizza uno score continuo che oscilla tra -100 e +100:
Valori positivi indicano trend rialzista
Valori negativi indicano trend ribassista
Vicinanza allo zero indica assenza di trend chiaro
I segnali appaiono quando:
Lo score supera la soglia "Strong" (triangoli STRONG)
Lo score attraversa la linea zero (cerchi REV)
Il mercato entra in zona debole (cambio colore)
Le zone colorate indicano:
Verde intenso/Rosso intenso: Trend forte e direzionale
Verde chiaro/Rosso chiaro: Trend moderato
Grigio: Mercato laterale o trend debole
Suggerimento: Utilizzare in combinazione con analisi di price action, livelli di supporto/resistenza e altri strumenti di conferma per validare setup di trading.
🎨 Personalizzazione
Colori completamente personalizzabili - Schema predefinito oro/nero professionale, modificabile secondo preferenze personali.
Alert configurabili - Notifiche disponibili per:
Ingresso in trend forte (bullish/bearish)
Inversioni di trend
Ingresso in zona debole
Opzioni di visualizzazione adattabili - Possibilità di attivare/disattivare individualmente zone colorate, segnali e istogramma secondo necessità di analisi.
⚠️ Note Importanti
Questo è uno strumento di analisi tecnica educativo
Non fornisce segnali di trading automatici o raccomandazioni di investimento.
Richiede interpretazione e conferma
L'indicatore misura condizioni di mercato che devono essere valutate dal trader nel contesto di una strategia completa.
Testare sempre su dati storici
Prima dell'uso operativo, verificare il comportamento dell'indicatore sull'asset e timeframe di interesse attraverso backtesting.
Limitazioni tecniche:
L'indicatore utilizza medie mobili e presenta un ritardo fisiologico rispetto al prezzo
In mercati molto volatili o durante news events può generare segnali anticipati o tardivi
In mercati laterali prolungati lo score oscilla frequentemente nella zona grigia
Non include gestione del rischio, stop loss o position sizing
📚 Metodologia
L'indicatore si basa su una combinazione di Average Directional Index (ADX) e Directional Indicators (+DI, -DI), algoritmi tecnici sviluppati da J. Welles Wilder negli anni '70.
Il calcolo procede attraverso:
Misurazione dei movimenti direzionali (upMove, downMove)
Normalizzazione tramite Average True Range
Calcolo degli indicatori direzionali (+DI, -DI)
Derivazione dell'ADX per misurare la forza
Applicazione di smoothing tramite media mobile esponenziale
Normalizzazione dello score finale in scala -100/+100
Questo approccio combina informazioni su direzione e intensità del trend in un singolo valore interpretabile.
⚡ Compatibilità
Tutti i timeframe - Da 1 minuto a mensile, con performance ottimale su timeframe da 15 minuti in su.
Tutti i mercati - Forex, Cryptocurrency, Stocks, Indices, Commodities.
Utilizzabile insieme ad altri indicatori - Non genera conflitti, visualizzabile in finestra separata.
🎯 Casi d'Uso Suggeriti
Filtro pre-trade: Prima di entrare in un setup identificato con altri metodi, verificare che lo score confermi la direzione del trade e non indichi un mercato in zona debole.
Conferma breakout: Quando il prezzo rompe livelli chiave, un aumento dello score nella direzione del breakout può confermare la validità del movimento.
Monitoraggio posizioni aperte: Durante un trade, il progressivo indebolimento dello score (movimento verso zona grigia o attraversamento dello zero) può suggerire di considerare chiusure parziali o totali.
Identificazione mercati laterali: Score oscillante persistentemente nella zona grigia (-30/+30) identifica condizioni non favorevoli per strategie trend-following.
📊 Esempio Pratico di Analisi
Scenario: Trader identifica un pattern di doppio minimo su grafico H1.
Analisi con Trend Strength Meter:
Verifica dello score corrente
Se score > +50: Trend rialzista supporta il setup long
Se score tra -30 e +30: Mercato laterale, setup rischioso
Se score < -30: Trend contrario, evitare il trade
Gestione: Monitorare lo score durante il trade. Se scende sotto +30, considerare exit parziale. Se attraversa lo zero, valutare chiusura totale.
Questo è un esempio educativo di metodologia di analisi, non una raccomandazione operativa.
🔧 Impostazioni per Diversi Stili di Trading
Scalping (M1-M5):
Trend Period: 10
Smoothing: 2
Strong Level: 60
Risultato: Più reattivo, maggior numero di segnali
Day Trading (M15-H1):
Trend Period: 14 (default)
Smoothing: 3 (default)
Strong Level: 70 (default)
Risultato: Bilanciato tra velocità e affidabilità
Swing Trading (H4-D1):
Trend Period: 20
Smoothing: 5
Strong Level: 75
Risultato: Più stabile, filtra movimenti minori
Questi sono esempi generici. Ogni trader dovrebbe calibrare i parametri secondo il proprio stile e le caratteristiche dell'asset tradato.
⚠️ Disclaimer
Questo indicatore è fornito solo a scopo educativo e informativo. Non costituisce consulenza finanziaria, raccomandazione di investimento o sollecitazione al trading.
Il trading comporta rischi significativi di perdita del capitale. Le performance passate non garantiscono risultati futuri.
Gli utenti sono responsabili delle proprie decisioni di trading e dovrebbero:
Comprendere pienamente i rischi del trading
Utilizzare sempre una corretta gestione del rischio
Non investire più di quanto possono permettersi di perdere
Considerare di consultare un consulente finanziario qualificato
L'autore non si assume responsabilità per perdite o danni derivanti dall'utilizzo di questo strumento.
Sviluppato da NovaQore FX
Engulfing Failure & Overlap Zones [HASIB]🧭 Overview
Engulfing Failure & Overlap Zones is a smart price action–based indicator that detects failed engulfing patterns and overlapping zones where potential liquidity traps or reversal setups often occur.
It’s designed to visually highlight both bullish and bearish failed engulfing areas with clean labels and zone markings, making it ideal for traders who follow Smart Money Concepts (SMC) or price action–driven trading.
⚙️ Core Concept
Engulfing patterns are powerful reversal signals — but not all of them succeed.
This indicator identifies:
When a Buy Engulfing setup fails and overlaps with a Sell Engulfing zone, and
When a Sell Engulfing setup fails and overlaps with a Buy Engulfing zone.
These overlapping areas often represent liquidity grab zones, reversal points, or Smart Money manipulation levels.
🎯 Key Features
✅ Detects both Buy and Sell Engulfing Failures
✅ Highlights Overlapping (OL) zones with colored rectangles
✅ Marks Buy EG OL / Sell EG OL labels automatically
✅ Fully customizable visuals — colors, padding, and zone styles
✅ Optimized for both scalping and swing trading
✅ Works on any timeframe and any instrument
⚡ How It Helps
Identify liquidity traps before reversals happen
Visually see Smart Money overlap zones between opposing engulfing structures
Strengthen your entry timing and confirmation zones
Combine with your own SMC or ICT-based trading setups for higher accuracy
📊 Recommended Use
Use on higher timeframes (e.g., M15, H1, H4) to confirm major liquidity zones.
Use on lower timeframes (e.g., M1–M5) for precision entries inside the detected zones.
Combine with tools like Order Blocks, Break of Structure (BOS), or Fair Value Gaps (FVG).
🧠 Pro Tip
When a failed engulfing overlaps with an opposite engulfing zone, it often signals market maker intent to reverse price direction after liquidity has been taken. Watch these zones closely for strong reaction candles.
NovaQore Multi-MA Suite📊 ENGLISH VERSION (TradingView Policy Compliant)
Script Title: NovaQore Multi-MA Suite
📈 MULTI-MA SUITE
Technical indicator designed for trend analysis through multiple configurable moving averages.
🔍 Features:
This indicator provides:
10 Independent Moving Averages - Each MA can be individually enabled/disabled with dedicated controls
4 Types of Moving Average - SMA (Simple), EMA (Exponential), WMA (Weighted), HMA (Hull) to adapt to different strategies
Cross Signal System - Automatically detects crossovers between two selectable moving averages to identify potential entry/exit points
Complete Customization - Each MA has independently configurable period, type, source, and color
⚙️ Configurable Parameters:
MA 1-10 Individual Settings: Length (1-500), Type (SMA/EMA/WMA/HMA), Source (Close/Open/High/Low/HL2/HLC3/OHLC4), Custom color, On/Off switch
Signal Settings: Enable/disable cross signals, Fast MA selection (1-10), Slow MA selection (1-10)
Default Setup: MA1=EMA9 (Gold), MA2=EMA21 (Orange), MA3=SMA50 (Cyan), MA4-10 disabled
📊 How to Use:
The indicator displays up to 10 moving averages simultaneously on the chart
"BULL" signals appear when the fast MA crosses above the slow MA (potential long entry)
"BEAR" signals appear when the fast MA crosses below the slow MA (potential short entry)
Colored zones indicate the relative position of moving averages to identify the dominant trend
Tip: Use in combination with price action analysis and other confirmation tools like oscillators or volume indicators.
🎨 Customization:
Fully customizable colors for all 10 moving averages
Configurable alerts for bullish and bearish crossovers
Adaptable display options (show/hide individual MAs)
Pre-set premium gold/black color scheme
⚠️ Important Notes:
This is an educational technical analysis tool
Does not provide automatic trading signals
Requires interpretation and confirmation by the trader
Always backtest on historical data before live use
Cross signals are indicative and require confirmation with other indicators
📚 Methodology:
The indicator is based on multiple moving averages that smooth price data to identify trends. It includes:
SMA (Simple Moving Average) - simple arithmetic average
EMA (Exponential Moving Average) - gives more weight to recent prices
WMA (Weighted Moving Average) - decreasing linear weight
HMA (Hull Moving Average) - reduces lag improving responsiveness
⚡ Compatibility:
All timeframes (1m, 5m, 15m, 1h, 4h, 1D, 1W, 1M)
All markets (Forex, Crypto, Stocks, Indices, Commodities)
Can be used with other NovaQore or standard TradingView indicators
💡 Optimal Use Cases:
Scalping: Use MA1 (EMA9) and MA2 (EMA21) for quick signals
Day Trading: Combine MA2 (EMA21) and MA3 (SMA50) for intraday trends
Swing Trading: Enable MA5 (SMA200) as main trend filter
Disclaimer: This indicator is provided for educational and informational purposes only. It does not constitute financial advice. Trading involves significant risks. Always use proper risk management.
Created with ❤️ by NovaQore FX
📊 VERSIONE ITALIANA
Titolo Script: NovaQore Multi-MA Suite
📈 MULTI-MA SUITE
Indicatore tecnico progettato per l'analisi del trend attraverso medie mobili multiple configurabili.
🔍 Funzionalità:
Questo indicatore fornisce:
10 Medie Mobili Indipendenti - Ogni MA può essere attivata/disattivata singolarmente con controlli dedicati
4 Tipi di Media Mobile - SMA (Simple), EMA (Exponential), WMA (Weighted), HMA (Hull) per adattarsi a diverse strategie
Sistema di Segnali Cross - Rileva automaticamente incroci tra due medie mobili selezionabili per identificare potenziali entry/exit
Personalizzazione Completa - Ogni MA ha periodo, tipo, sorgente e colore configurabili indipendentemente
⚙️ Parametri Configurabili:
MA 1-10 Individual Settings: Lunghezza (1-500), Tipo (SMA/EMA/WMA/HMA), Sorgente (Close/Open/High/Low/HL2/HLC3/OHLC4), Colore personalizzato, On/Off switch
Signal Settings: Attiva/disattiva segnali di incrocio, Selezione MA veloce (1-10), Selezione MA lenta (1-10)
Default Setup: MA1=EMA9 (Oro), MA2=EMA21 (Arancione), MA3=SMA50 (Azzurro), MA4-10 disattivate
📊 Come Utilizzarlo:
L'indicatore visualizza fino a 10 medie mobili simultaneamente sul grafico
I segnali "BULL" appaiono quando la MA veloce incrocia al rialzo la MA lenta (potenziale ingresso long)
I segnali "BEAR" appaiono quando la MA veloce incrocia al ribasso la MA lenta (potenziale ingresso short)
Le zone colorate indicano la posizione relativa delle medie mobili per identificare il trend dominante
Suggerimento: Utilizzare in combinazione con analisi di price action e altri strumenti di conferma come oscillatori o volumi.
🎨 Personalizzazione:
Colori completamente personalizzabili per tutte le 10 medie mobili
Alert configurabili per incroci bullish e bearish
Opzioni di visualizzazione adattabili (mostra/nascondi singole MA)
Schema colori pre-impostato oro/nero premium
⚠️ Note Importanti:
Questo è uno strumento di analisi tecnica educativo
Non fornisce segnali di trading automatici
Richiede interpretazione e conferma da parte del trader
Testare sempre su dati storici prima dell'uso live
I segnali di incrocio sono indicativi e necessitano di conferma con altri indicatori
📚 Metodologia:
L'indicatore si basa su medie mobili multiple che smoothano i dati di prezzo per identificare trend. Include:
SMA (Simple Moving Average) - media aritmetica semplice
EMA (Exponential Moving Average) - maggior peso ai prezzi recenti
WMA (Weighted Moving Average) - peso lineare decrescente
HMA (Hull Moving Average) - riduce il lag migliorando la reattività
⚡ Compatibilità:
Tutti i timeframe (1m, 5m, 15m, 1h, 4h, 1D, 1W, 1M)
Tutti i mercati (Forex, Crypto, Stocks, Indices, Commodities)
Utilizzabile insieme ad altri indicatori NovaQore o standard TradingView
💡 Casi d'Uso Ottimali:
Scalping: Utilizzare MA1 (EMA9) e MA2 (EMA21) per segnali rapidi
Day Trading: Combinare MA2 (EMA21) e MA3 (SMA50) per trend intraday
Swing Trading: Attivare MA5 (SMA200) come filtro di trend principale
Disclaimer: Questo indicatore è fornito solo a scopo educativo e informativo. Non costituisce consulenza finanziaria. Il trading comporta rischi significativi. Utilizzare sempre una corretta gestione del rischio.
Sviluppato da NovaQore FX
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.
ZynAlgo Trend Dashboard MiniZynAlgo Trend Dashboard Mini helps traders quickly visualize multi-timeframe market direction in one clean widget.
It scans up to 5 timeframes using MA Cross, Price vs MA, or RSI logic — showing whether each timeframe is bullish, bearish, or neutral.
The dashboard updates automatically and can be displayed in Detailed, Compact, or Minimal modes, adapting perfectly to any chart layout.
💡 Perfect for: intraday & swing traders who want a fast, visual way to confirm overall trend bias before entering trades.
🎨 Includes multiple themes: Dark Neon, Professional, Light Modern, Cyberpunk, Matrix, and more.
🔔 Built-in alerts notify you when all or most timeframes align in the same direction.
Cumulative Volume Delta Z Score [BackQuant]Cumulative Volume Delta Z Score
The Cumulative Volume Delta Z Score indicator is a sophisticated tool that combines the cumulative volume delta (CVD) with Z-Score normalization to provide traders with a clearer view of market dynamics. By analyzing volume imbalances and standardizing them through a Z-Score, this tool helps identify significant price movements and market trends while filtering out noise.
Core Concept of Cumulative Volume Delta (CVD)
Cumulative Volume Delta (CVD) is a popular indicator that tracks the net difference between buying and selling volume over time. CVD helps traders understand whether buying or selling pressure is dominating the market. Positive CVD signals buying pressure, while negative CVD indicates selling pressure.
The addition of Z-Score normalization to CVD makes it easier to evaluate whether current volume imbalances are unusual compared to past behavior. Z-Score helps in detecting extreme conditions by showing how far the current CVD is from its historical mean in terms of standard deviations.
Key Features
Cumulative Volume Delta (CVD): Tracks the net buying vs. selling volume, allowing traders to gauge the overall market sentiment.
Z-Score Normalization: Converts CVD into a standardized value to highlight extreme movements in volume that are statistically significant.
Divergence Detection: The indicator can spot bullish and bearish divergences between price and CVD, which can signal potential trend reversals.
Pivot-Based Divergence: Identifies price and CVD pivots, highlighting divergence patterns that are crucial for predicting price changes.
Trend Analysis: Colors bars according to trend direction, providing a visual indication of bullish or bearish conditions based on Z-Score.
How It Works
Cumulative Volume Delta (CVD): The CVD is calculated by summing the difference between buying and selling volume for each bar. It represents the net buying or selling pressure, giving insights into market sentiment.
Z-Score Normalization: The Z-Score is applied to the CVD to normalize its values, making it easier to compare current conditions with historical averages. A Z-Score greater than 0 indicates a bullish market, while a Z-Score less than 0 signals a bearish market.
Divergence Detection: The indicator detects regular and hidden bullish and bearish divergences between price and CVD. These divergences often precede trend reversals, offering traders a potential entry point.
Pivot-Based Analysis: The indicator uses pivot highs and lows in both price and CVD to identify divergence patterns. A bullish divergence occurs when price makes a lower low, but CVD fails to follow, suggesting weakening selling pressure. Conversely, a bearish divergence happens when price makes a higher high, but CVD doesn't confirm the move, indicating potential selling pressure.
Trend Coloring: The bars are colored based on the trend direction. Green bars indicate an uptrend (CVD is positive), and red bars indicate a downtrend (CVD is negative). This provides an easy-to-read visualization of market conditions.
Standard Deviation Levels: The indicator plots ±1σ, ±2σ, and ±3σ levels to indicate the degree of deviation from the average CVD. These levels act as thresholds for identifying extreme buying or selling pressure.
Customization Options
Anchor Timeframe: The user can define an anchor timeframe to aggregate the CVD, which can be customized based on the trader’s needs (e.g., daily, weekly, custom lower timeframes).
Z-Score Period: The period for calculating the Z-Score can be adjusted, allowing traders to fine-tune the indicator's sensitivity.
Divergence Detection: The tool offers controls to enable or disable divergence detection, with the ability to adjust the lookback periods for pivot detection.
Trend Coloring and Visuals: Traders can choose whether to color bars based on trend direction, display standard deviation levels, or visualize the data as a histogram or line plot.
Display Options: The indicator also allows for various display options, including showing the Z-Score values and divergence signals, with customizable colors and line widths.
Alerts and Signals
The Cumulative Volume Delta Z Score comes with pre-configured alert conditions for:
Z-Score Crossovers: Alerts are triggered when the Z-Score crosses the 0 line, indicating a potential trend reversal.
Shifting Trend: Alerts for when the Z-Score shifts direction, signaling a change in market sentiment.
Divergence Detection: Alerts for both regular and hidden bullish and bearish divergences, offering potential reversal signals.
Extreme Imbalances: Alerts when the Z-Score reaches extreme positive or negative levels, indicating overbought or oversold market conditions.
Applications in Trading
Trend Identification: Use the Z-Score to confirm bullish or bearish trends based on cumulative volume data, filtering out noise and false signals.
Reversal Signals: Divergences between price and CVD can help identify potential trend reversals, making it a powerful tool for swing traders.
Volume-Based Confirmation: The Z-Score allows traders to confirm price movements with volume data, providing more reliable signals compared to price action alone.
Divergence Strategy: Use the divergence signals to identify potential points of entry, particularly when regular or hidden divergences appear.
Volatility and Market Sentiment: The Z-Score provides insights into market volatility by measuring the deviation of CVD from its historical mean, helping to predict price movement strength.
The Cumulative Volume Delta Z Score is a powerful tool that combines volume analysis with statistical normalization. By focusing on volume imbalances and applying Z-Score normalization, this indicator provides clear, reliable signals for trend identification and potential reversals. It is especially useful for filtering out market noise and ensuring that trades are based on significant price movements driven by substantial volume changes.
This indicator is perfect for traders looking to add volume-based analysis to their strategy, offering a more robust and accurate way to gauge market sentiment and trend strength.
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.
SMMA Strategy [SMMA ULTIMATE]SMMA 21/50/200 + RSI — M5/M15 (Rule-marked entries & exits)
Release Notes (EN)
Version: 1.0 (Pine v6 — Indicator)
Date: 14 Oct 2025
Type: Multi-TF overlay indicator with rule-based entry/exit markers and optional runtime alerts
🚀 Summary
A disciplined multi-timeframe scanner for M5 and M15 that highlights rule-driven setups (R1…R4) around SMMA 21/50/200, RSI (buy > 52 / sell < 48), directional VWAP, volume, and ATR activity.
It also simulates ATR-based TP/SL/Break-Even to provide immediate visual feedback and tags each trade idea with the origin rule.
✨ Highlights
• Full MTF stack (M5 & M15) with dedicated series (price, volume, SMMA, ATR, VWAP, RSI) and lookahead_off to avoid repaint.
• 4 modular entry rules (enable/disable independently):
◦ R1: Price crosses the max/min of SMMA(21/50/200) + RSI filter + market OK.
◦ R2: Touch of SMMA21 (pullback) + trend alignment + RSI + market OK.
◦ R3: Three candles impulse + engulfing reversal + RSI + market OK.
◦ R4: SMMA21/SMMA50 cross (structural momentum) + market OK.
• Stackable filters (toggle): Trend (price vs SMMA200), Directional VWAP (price vs VWAP + slope), Volume (Vol > MA×k), ATR activity (ATR > MA(ATR,20)×k).
• RSI thresholds: BUY if RSI > 52, SELL if RSI < 48 (per TF).
• ATR exit simulation: SL = k×ATR, TP = k×ATR, Break-Even armed after ATR gain (return to entry → BE exit).
• Clear rule tags: Entry/exit markers carry R1…R4 for immediate provenance.
• Optional runtime alerts: Human-readable messages on entries and exits, per TF and rule.
🔧 Key Inputs
General
• Price source for display: chart candles / force regular / force Heikin Ashi.
• Lengths: SMMA 21/50/200, RSI (14), ATR (14), Volume MA (20).
• RSI thresholds: Buy > 52, Sell < 48.
Filters (on/off)
• Trend (price vs SMMA200).
• Directional VWAP (price relative to VWAP and VWAP slope).
• ATR activity gate.
• Volume gate (Volume > MA×multiplier).
Rules (on/off)
• Enable R1/R2/R3/R4 individually.
Exit simulation
• Use ATR stops (SL/TP multipliers).
• Break-Even (armed by ATR progress).
Alerts
• Enable runtime alerts to fire alert() at bar close.
🧠 Rule Logic (condensed)
• R1 BUY/SELL: Cross of max/min(SMMA21,50,200) + RSI gate + all selected filters OK.
• R2 BUY/SELL: Touch of SMMA21 + price aligned vs SMMA50/200 + RSI + filters OK.
• R3 BUY/SELL: Three consecutive bars in one direction + engulfing opposite + RSI + filters OK.
• R4 BUY/SELL: SMMA21/SMMA50 crossover + filters OK.
Entry priority per TF: R1 > R4 > R2 > R3.
🔔 Runtime Alerts
When enabled, the script emits close-of-bar alerts with TF and rule tag:
• 🚀 M5/M15 ENTRY LONG (R#)
• 🔻 M5/M15 ENTRY SHORT (R#)
• ✅ M5/M15 EXIT TP (R#)
• ❌ M5/M15 EXIT SL (R#)
• 🟨 M5/M15 EXIT BE (R#)
(You can still build custom UI alerts if you need additional combinations.)
🖼 Visuals
• SMMA 21/50/200 and VWAP (green when price above, red below).
• Plotshape per rule and exit type (TP/SL/BE) with R1…R4 tags on M5 and M15.
• Optional Heikin Ashi for display (core MTF calculations remain consistent).
🔒 Robustness & No-Repaint Notes
• All MTF request.security calls use lookahead_off.
• Pattern logic (three bars, engulfing) is evaluated on bar close.
• ATR/TP/SL/BE are indicator-level simulations using the chart’s H/L/Close (standard intrabar limitations).
⚠️ Limitations & Tips
• This is an indicator, not a strategy: no orders are sent; exits are simulated for visualization.
• Signals are generated on bar close.
• MTF signals synchronize to the chart TF’s close, not intrabar ticks.
AlphaBTC - Long Term Trend Probability Indicator on BitcoinWHAT IS ALPHABTC?
AlphaBTC is a consensus-based long-term trend probability indicator designed specifically for Bitcoin and cryptocurrency markets. It combines 9 independent trend detection methodologies into a single probabilistic score ranging from -1 (strong bearish) to +1 (strong bullish). Unlike single-indicator systems that can produce frequent false signals, AlphaBTC requires agreement across multiple analytical frameworks before generating directional signals.
METHODOLOGY - THE 9-INDICATOR CONSENSUS MODEL
Each indicator analyzes trend from a different mathematical perspective, providing a binary vote: +1 (bullish), -1 (bearish), or 0 (neutral). The average of all 9 votes creates the final probability score.
1. AADTREND (Average Absolute Deviation Trend)
Method: Calculates average absolute deviation from a moving average using 7 different MA types (SMA, EMA, HMA, DEMA, TEMA, RMA, FRAMA)
Logic: Price crossovers above/below AAD-adjusted bands signal trend changes
Purpose: Adapts to varying market volatility conditions
2. GAUSSIAN SMOOTH TREND (GST)
Method: Multi-stage smoothing using DEMA → Gaussian Filter → SMMA → Standard Deviation bands
Logic: Long when price > (SMMA + SDmultiplier), Short when price < (SMMA - SDmultiplier)
Purpose: Removes high-frequency noise while preserving trend structure
3. RTI (RELATIVE TREND INDEX)
Method: Percentile-based ranking system comparing current price to historical upper/lower trend boundaries
Logic: Generates 0-100 index score; >80 = bullish, <20 = bearish
Purpose: Identifies price position within statistical distribution
4. HIGHEST-LOWEST DEVIATIONS TREND
Method: Dual moving average system (100/50 periods) with dynamic standard deviation bands
Logic: Compares highest and lowest boundaries from both MAs to determine trend extremes
Purpose: Identifies breakouts from multi-timeframe volatility envelopes
5. 25-75 PERCENTILE SUPERTREND
Method: Modified SuperTrend using 25th and 75th percentile bands instead of simple highs/lows
Logic: ATR-based trailing stop system anchored to percentile boundaries
Purpose: More stable trend following by filtering outlier price spikes
6. TS VOLATILITY-ADJUSTED EWMA
Method: Exponentially Weighted Moving Average with dynamic period adjustment based on ATR
Logic: Speeds up during high volatility, slows during low volatility
Purpose: Adaptive responsiveness to changing market conditions
7. NORMALIZED KAMA OSCILLATOR
Method: Kaufman Adaptive Moving Average normalized to 0-centered oscillator
Logic: Uses Efficiency Ratio to adjust smoothing constant; >0 = bullish, <0 = bearish
Purpose: Adapts to both trending and ranging markets automatically
8. EHLERS MESA ADAPTIVE MOVING AVERAGE (EMAMA)
Method: John Ehlers' MAMA/FAMA system using Hilbert Transform for cycle period detection
Logic: MAMA crossover FAMA = bullish, crossunder = bearish
Purpose: Advanced DSP-based trend detection with phase-based adaptation
9. EMA Z-SCORE
Method: Statistical z-score applied to EMA values over lookback period
Logic: >1.0 standard deviation = bullish, <0.0 = bearish
Purpose: Identifies statistically significant trend deviations
AGGREGATION METHODOLOGY
Scoring System:
Each indicator produces: +1 (bullish), -1 (bearish), or 0 (neutral)
Total score = sum of all 9 indicators (-9 to +9)
Average score = total / 9 (displayed as -1.00 to +1.00)
Signal Interpretation:
+0.50 to +1.00: STRONG BULLISH (majority consensus)
+0.30 to +0.50: MODERATE BULLISH
-0.30 to +0.30: WEAK/NEUTRAL (mixed signals)
-0.50 to -0.30: MODERATE BEARISH
-1.00 to -0.50: STRONG BEARISH (majority consensus)
Bar Coloring:
Cyan bars: Bullish consensus (score > 0)
Magenta bars: Bearish consensus (score < 0)
WHY THIS APPROACH WORKS
Traditional Single-Indicator Problems:
Overfitting to specific market conditions
High false signal rates during consolidation
No mechanism for confidence measurement
AlphaBTC Multi-Consensus Solution:
Diversification: 9 uncorrelated methodologies reduce individual indicator bias
Robustness: Requires majority agreement before signaling (prevents whipsaws)
Adaptability: Mix of momentum, volatility, and statistical indicators captures multiple market regimes
Confidence Measurement: Score magnitude indicates signal strength
Why These 9 Specific Indicators:
AADTrend - Volatility adaptation
GST - Noise filtering
RTI - Statistical positioning
HL Deviations - Multi-timeframe breakouts
Percentile ST - Robust trend following
Volatility EWMA - Dynamic responsiveness
KAMA - Efficiency-based adaptation
EMAMA - Cycle-period awareness
EMA Z-Score - Statistical confirmation
This combination covers:
Trend following (ST, EWMA, KAMA, EMAMA)
Volatility adaptation (AAD, GST, HL Dev, EWMA)
Statistical validation (RTI, Z-Score)
Adaptive smoothing (KAMA, EMAMA, Gaussian)
No single indicator covers all these bases. The ensemble approach creates a more reliable system.
VISUAL COMPONENTS
1. Score Table (Bottom Right):
Shows all 9 individual indicator scores
Color-coded: Green (bullish), Red (bearish), Gray (neutral)
Individual signals visible for transparency
2. Main Score Display (Bottom Center):
LTPI SCORE: The averaged consensus (-1.00 to +1.00)
SIGNAL: Current directional bias (LONG/SHORT)
STRENGTH: Signal confidence (STRONG/MODERATE/WEAK)
3. Bar Coloring:
Visual trend indication directly on price bars
Cyan = bullish consensus
Magenta = bearish consensus
HOW TO USE
For Long-Term Position Trading (Recommended):
Wait for average score to cross above 0 for long entries
Exit when score crosses below 0 or reverses to negative territory
Use STRENGTH indicator - only trade STRONG or MODERATE signals
For Trend Confirmation:
Use AlphaBTC as confluence with your existing strategy
Enter trades only when AlphaBTC agrees with your analysis
Avoid counter-trend trades when consensus is strong (|score| > 0.5)
Risk Management:
STRONG signals (|score| > 0.5): Full position size
MODERATE signals (0.3-0.5): Reduced position size
WEAK signals (< 0.3): Avoid trading or use for exits only
Best Timeframes:
1D chart: Primary trend identification for swing/position trading
4H chart: Intermediate trend for multi-day holds
1H chart: Short-term trend for active trading
Not Recommended:
Scalping (too many indicators create lag)
Timeframes < 1H (designed for longer-term trends)
SETTINGS EXPLAINED
Each of the 9 indicators has customizable parameters in its dedicated settings group:
AadTrend Settings:
Average Length (48): Base period for deviation calculation
AAD Multiplier (1.35): Band width adjustment
Average Type: Choose from 7 different MA types
GST Settings:
DEMA Length (9), Gaussian Length (4), SMMA Length (13)
SD Length (66): Standard deviation lookback
Multipliers for upper/lower bands
RTI Settings:
Trend Length (75): Historical data points for boundary calculation
Sensitivity (88%): Percentile threshold
Long/Short Thresholds (80/20): Entry trigger levels
HL Deviations Settings:
Dual MA system (100/50 periods)
Separate deviation coefficients for upper/lower bands
25-75 Percentile ST Settings:
SuperTrend Length (100)
Multiplier (2.35)
Percentile Length (50)
EWMA Settings:
Length (81), ATR Lookback (14)
Volatility Factor (1.0) for dynamic adjustment
KAMA Settings:
Fast/Slow Periods (50/100)
Efficiency Ratio Period (8)
Normalization Lookback (53)
EMAMA Settings:
Fast/Slow Limits (0.08/0.01) for cycle adaptation
EMA Z-Score Settings:
EMA Length (50)
Lookback Period (25)
Threshold levels for long/short signals
ALERTS
Four alert conditions available:
LTPI Long Signal: When average score crosses above 0
LTPI Short Signal: When average score crosses below 0
LTPI Long: Any bar with bullish consensus
LTPI Short: Any bar with bearish consensus
IMPORTANT NOTES
This is a CONSENSUS indicator - it shows probability, not prediction
Designed for Bitcoin
Best for long-term trend identification (days to weeks, not minutes to hours)
Lagging by design - prioritizes accuracy over speed
Not a standalone strategy - use with proper risk management and position sizing
Requires minimum 100+ bars of historical data for proper indicator calculation
Trend Ali📈 Trend Ali - Advanced Hull Moving Average Indicator
🎯 Overview
This indicator is an advanced and highly customizable version of the Hull Moving Average (HMA), designed for precise trend identification and optimal entry/exit point detection in various market conditions.
✨ Key Features
🔄 Three Hull Moving Average Calculation Methods
The indicator offers three distinct calculation approaches to suit different trading styles:
1. HMA (Standard Hull Moving Average)
Ideal for most market conditions
Excellent balance between responsiveness and noise reduction
Uses WMA (Weighted Moving Average) for calculations
Best for general trend following
2. EHMA (Exponential Hull Moving Average)
Faster reaction to price changes
Perfect for volatile markets and quick scalping
Uses EMA instead of WMA for enhanced sensitivity
Recommended for aggressive trading strategies
3. THMA (Triangular Hull Moving Average)
Smoother than the standard version
Reduces false signals significantly
Optimal for higher timeframes and position trading
Provides clearer trend direction
🛠️ Advanced Settings
Length Parameter
This parameter directly affects the indicator's sensitivity and behavior:
55: Perfect for Swing Trading and identifying entry points
Catches medium-term trends
Good balance for 4H to Daily charts
180-200: Ideal for identifying floating Support/Resistance levels
Acts as dynamic S/R zones
Excellent for position trading
Reduces market noise significantly
Shorter Length = Faster response but more noise
Longer Length = Stronger signals but with more lag
Length Multiplier
View higher timeframe trends without changing your chart
Default value of 6.0 provides macro trend analysis
Increasing this value smooths the line further
Useful for multi-timeframe analysis on a single chart
Creates "straight band" effect for clearer trend visualization
Higher Timeframe Analysis
Display Hull MA from any higher timeframe
Extremely useful for scalping while maintaining trend awareness
Default: 240 minutes (4-hour chart)
Helps avoid counter-trend trades
Provides context for lower timeframe decisions
🎨 Intelligent Color System
The indicator automatically adjusts colors based on trend direction:
🟢 Green: Uptrend (price moving above previous levels)
Indicates bullish momentum
Consider long positions
🔴 Red: Downtrend (price moving below previous levels)
Indicates bearish momentum
Consider short positions or exit longs
🟠 Orange: Neutral (when color coding is disabled)
For traders who prefer monochrome display
📊 How to Use
For Swing Trading (Length: 55)
Wait for color change from red to green for long entries
Wait for color change from green to red for short entries or exits
Use price action confirmation at the Hull MA line
The line acts as dynamic support/resistance
For Support/Resistance (Length: 180-200)
The Hull MA acts as a floating S/R zone
Price bouncing off the line indicates strong trend
Price crossing the line signals potential trend reversal
Use for position sizing and stop loss placement
For Scalping (with Higher Timeframe)
Enable "Show Hull MA from X timeframe"
Select 240 (4H) or higher timeframe
Only take trades in direction of higher timeframe trend
Use lower timeframe for precise entries
Higher timeframe Hull MA keeps you on the right side
Multi-Timeframe Strategy
Use Length Multiplier to see macro trend
Keep your chart on preferred timeframe
Align trades with the smoothed trend direction
Enter on pullbacks to the Hull MA line
🔍 Technical Details
Why Hull Moving Average?
Traditional moving averages face a tradeoff between lag and noise. Hull Moving Average solves this by:
Using weighted calculations for faster response
Applying square root of length for optimal smoothing
Eliminating lag while maintaining smoothness
Calculation Method
The indicator uses sophisticated algorithms:
HMA: Combines multiple WMAs with square root period
EHMA: Applies exponential smoothing for speed
THMA: Uses triangular weighting for stability
RSI Source Input
Allows using any price source (Close, Open, HL2, etc.)
Default: Close price
Experiment with different sources for unique insights
⚙️ Recommended Settings
Day Trading
Mode: EHMA
Length: 55
Length Multiplier: 3-4
Color: Enabled
Swing Trading
Mode: HMA
Length: 55
Length Multiplier: 6
Color: Enabled
Position Trading
Mode: THMA
Length: 180-200
Length Multiplier: 8-10
Color: Enabled
Scalping
Mode: HMA or EHMA
Length: 55
Higher Timeframe: Enabled (240 or higher)
Color: Enabled
💡 Pro Tips
Trend Confirmation: Wait for 2-3 candles to confirm color change before entering
Divergence: Watch for price/Hull MA divergence for reversal signals
Volume: Combine with volume analysis for stronger signals
Multiple Instances: Add indicator twice with different settings for multi-timeframe view
Backtesting: Test different Length values for your specific asset and timeframe
Risk Management: Use Hull MA distance for stop loss placement
⚠️ Important Notes
No indicator is 100% accurate - always use risk management
Best used in combination with price action and other technical analysis
Different markets may require different settings
Backtest thoroughly before live trading
Consider market volatility when adjusting parameters
DM Super Trend FlowDM Super Trend Flow — Single Line Explanation
The DM Super Trend Flow is a single-line trend indicator built from a carefully selected group of Exponential Moving Averages (EMAs) designed to capture smooth and reliable trend direction.
Instead of plotting multiple EMA lines, the indicator calculates several EMAs internally and then displays only the middle EMA — creating a clean, uncluttered chart while still reflecting the overall trend strength and alignment.
The line color automatically changes based on how all EMAs are aligned:
GREEN - Bullish Alignment → All EMAs are stacked upward, confirming strong upward momentum. (Line turns lime)
RED - Bearish Alignment → All EMAs are stacked downward, confirming strong downward momentum. (Line turns red)
GRAY - EMAs are mixed or flat, indicating sideways or transition phases. (Line turns gray)
This single dynamic line gives you a clear visual of overall market direction — showing when the trend is fully aligned, weakening, or shifting — without the clutter of multiple overlapping averages.
Luxy Momentum, Trend, Bias and Breakout Indicators V7
TABLE OF CONTENTS
This is Version 7 (V7) - the latest and most optimized release. If you are using any older versions (V6, V5, V4, V3, etc.), it is highly recommended to replace them with V7.
Why This Indicator is Different
Who Should Use This
Core Components Overview
The UT Bot Trading System
Understanding the Market Bias Table
Candlestick Pattern Recognition
Visual Tools and Features
How to Use the Indicator
Performance and Optimization
FAQ
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### CREDITS & ATTRIBUTION
This indicator implements proven trading concepts using entirely original code developed specifically for this project.
### CONCEPTUAL FOUNDATIONS
• UT Bot ATR Trailing System
- Original concept by @QuantNomad: (search "UT-Bot-Strategy"
- Our version is a complete reimplementation with significant enhancements:
- Volume-weighted momentum adjustment
- Composite stop loss from multiple S/R layers
- Multi-filter confirmation system (swing, %, 2-bar, ZLSMA)
- Full integration with multi-timeframe bias table
- Visual audit trail with freeze-on-touch
- NOTE: No code was copied - this is a complete reimplementation with enhancements.
• Standard Technical Indicators (Public Domain Formulas):
- Supertrend: ATR-based trend calculation with custom gradient fills
- MACD: Gerald Appel's formula with separation filters
- RSI: J. Welles Wilder's formula with pullback zone logic
- ADX/DMI: Custom trend strength formula inspired by Wilder's directional movement concept, reimplemented with volume weighting and efficiency metrics
- ZLSMA: Zero-lag formula enhanced with Hull MA and momentum prediction
### Custom Implementations
- Trend Strength: Inspired by Wilder's ADX concept but using volume-weighted pressure calculation and efficiency metrics (not traditional +DI/-DI smoothing)
- All code implementations are original
### ORIGINAL FEATURES (70%+ of codebase)
- Multi-Timeframe Bias Table with live updates
- Risk Management System (R-multiple TPs, freeze-on-touch)
- Opening Range Breakout tracker with session management
- Composite Stop Loss calculator using 6+ S/R layers
- Performance optimization system (caching, conditional calcs)
- VIX Fear Index integration
- Previous Day High/Low auto-detection
- Candlestick pattern recognition with interactive tooltips
- Smart label and visual management
- All UI/UX design and table architecture
### DEVELOPMENT PROCESS
**AI Assistance:** This indicator was developed over 2+ months with AI assistance (ChatGPT/Claude) used for:
- Writing Pine Script code based on design specifications
- Optimizing performance and fixing bugs
- Ensuring Pine Script v6 compliance
- Generating documentation
**Author's Role:** All trading concepts, system design, feature selection, integration logic, and strategic decisions are original work by the author. The AI was a coding tool, not the system designer.
**Transparency:** We believe in full disclosure - this project demonstrates how AI can be used as a powerful development tool while maintaining creative and strategic ownership.
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1. WHY THIS INDICATOR IS DIFFERENT
Most traders use multiple separate indicators on their charts, leading to cluttered screens, conflicting signals, and analysis paralysis. The Suite solves this by integrating proven technical tools into a single, cohesive system.
Key Advantages:
All-in-One Design: Instead of loading 5-10 separate indicators, you get everything in one optimized script. This reduces chart clutter and improves TradingView performance.
Multi-Timeframe Bias Table: Unlike standard indicators that only show the current timeframe, the Bias Table aggregates trend signals across multiple timeframes simultaneously. See at a glance whether 1m, 5m, 15m, 1h are aligned bullish or bearish - no more switching between charts.
Smart Confirmations: The indicator doesn't just give signals - it shows you WHY. Every entry has multiple layers of confirmation (MA cross, MACD momentum, ADX strength, RSI pullback, volume, etc.) that you can toggle on/off.
Dynamic Stop Loss System: Instead of static ATR stops, the SL is calculated from multiple support/resistance layers: UT trailing line, Supertrend, VWAP, swing structure, and MA levels. This creates more intelligent, price-action-aware stops.
R-Multiple Take Profits: Built-in TP system calculates targets based on your initial risk (1R, 1.5R, 2R, 3R). Lines freeze when touched with visual checkmarks, giving you a clean audit trail of partial exits.
Educational Tooltips Everywhere: Every single input has detailed tooltips explaining what it does, typical values, and how it impacts trading. You're not guessing - you're learning as you configure.
Performance Optimized: Smart caching, conditional calculations, and modular design mean the indicator runs fast despite having 15+ features. Turn off what you don't use for even better performance.
No Repainting: All signals respect bar close. Alerts fire correctly. What you see in history is what you would have gotten in real-time.
What Makes It Unique:
Integrated UT Bot + Bias Table: No other indicator combines UT Bot's ATR trailing system with a live multi-timeframe dashboard. You get precision entries with macro trend context.
Candlestick Pattern Recognition with Interactive Tooltips: Patterns aren't just marked - hover over any emoji for a full explanation of what the pattern means and how to trade it.
Opening Range Breakout Tracker: Built-in ORB system for intraday traders with customizable session times and real-time status updates in the Bias Table.
Previous Day High/Low Auto-Detection: Automatically plots PDH/PDL on intraday charts with theme-aware colors. Updates daily without manual input.
Dynamic Row Labels in Bias Table: The table shows your actual settings (e.g., "EMA 10 > SMA 20") not generic labels. You know exactly what's being evaluated.
Modular Filter System: Instead of forcing a fixed methodology, the indicator lets you build your own strategy. Start with just UT Bot, add filters one at a time, test what works for your style.
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2. WHO WHOULD USE THIS
Designed For:
Intermediate to Advanced Traders: You understand basic technical analysis (MAs, RSI, MACD) and want to combine multiple confirmations efficiently. This isn't a "one-click profit" system - it's a professional toolkit.
Multi-Timeframe Traders: If you trade one asset but check multiple timeframes for confirmation (e.g., enter on 5m after checking 15m and 1h alignment), the Bias Table will save you hours every week.
Trend Followers: The indicator excels at identifying and following trends using UT Bot, Supertrend, and MA systems. If you trade breakouts and pullbacks in trending markets, this is built for you.
Intraday and Swing Traders: Works equally well on 5m-1h charts (day trading) and 4h-D charts (swing trading). Scalpers can use it too with appropriate settings adjustments.
Discretionary Traders: This isn't a black-box system. You see all the components, understand the logic, and make final decisions. Perfect for traders who want tools, not automation.
Works Across All Markets:
Stocks (US, international)
Cryptocurrency (24/7 markets supported)
Forex pairs
Indices (SPY, QQQ, etc.)
Commodities
NOT Ideal For :
Complete Beginners: If you don't know what a moving average or RSI is, start with basics first. This indicator assumes foundational knowledge.
Algo Traders Seeking Black Box: This is discretionary. Signals require context and confirmation. Not suitable for blind automated execution.
Mean-Reversion Only Traders: The indicator is trend-following at its core. While VWAP bands support mean-reversion, the primary methodology is trend continuation.
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3. CORE COMPONENTS OVERVIEW
The indicator combines these proven systems:
Trend Analysis:
Moving Averages: Four customizable MAs (Fast, Medium, Medium-Long, Long) with six types to choose from (EMA, SMA, WMA, VWMA, RMA, HMA). Mix and match for your style.
Supertrend: ATR-based trend indicator with unique gradient fill showing trend strength. One-sided ribbon visualization makes it easier to see momentum building or fading.
ZLSMA : Zero-lag linear-regression smoothed moving average. Reduces lag compared to traditional MAs while maintaining smooth curves.
Momentum & Filters:
MACD: Standard MACD with separation filter to avoid weak crossovers.
RSI: Pullback zone detection - only enter longs when RSI is in your defined "buy zone" and shorts in "sell zone".
ADX/DMI: Trend strength measurement with directional filter. Ensures you only trade when there's actual momentum.
Volume Filter: Relative volume confirmation - require above-average volume for entries.
Donchian Breakout: Optional channel breakout requirement.
Signal Systems:
UT Bot: The primary signal generator. ATR trailing stop that adapts to volatility and gives clear entry/exit points.
Base Signals: MA cross system with all the above filters applied. More conservative than UT Bot alone.
Market Bias Table: Multi-timeframe dashboard showing trend alignment across 7 timeframes plus macro bias (3-day, weekly, monthly, quarterly, VIX).
Candlestick Patterns: Six major reversal patterns auto-detected with interactive tooltips.
ORB Tracker: Opening range high/low with breakout status (intraday only).
PDH/PDL: Previous day levels plotted automatically on intraday charts.
VWAP + Bands : Session-anchored VWAP with up to three standard deviation band pairs.
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4. THE UT BOT TRADING SYSTEM
The UT Bot is the heart of the indicator's signal generation. It's an advanced ATR trailing stop that adapts to market volatility.
Why UT Bot is Superior to Fixed Stops:
Traditional ATR stops use a fixed multiplier (e.g., "stop = entry - 2×ATR"). UT Bot is smarter:
It TRAILS the stop as price moves in your favor
It WIDENS during high volatility to avoid premature stops
It TIGHTENS during consolidation to lock in profits
It FLIPS when price breaks the trailing line, signaling reversals
Visual Elements You'll See:
Orange Trailing Line: The actual UT stop level that adapts bar-by-bar
Buy/Sell Labels: Aqua triangle (long) or orange triangle (short) when the line flips
ENTRY Line: Horizontal line at your entry price (optional, can be turned off)
Suggested Stop Loss: A composite SL calculated from multiple support/resistance layers:
- UT trailing line
- Supertrend level
- VWAP
- Swing structure (recent lows/highs)
- Long-term MA (200)
- ATR-based floor
Take Profit Lines: TP1, TP1.5, TP2, TP3 based on R-multiples. When price touches a TP, it's marked with a checkmark and the line freezes for audit trail purposes.
Status Messages: "SL Touched ❌" or "SL Frozen" when the trade leg completes.
How UT Bot Differs from Other ATR Systems:
Multiple Filters Available: You can require 2-bar confirmation, minimum % price change, swing structure alignment, or ZLSMA directional filter. Most UT implementations have none of these.
Smart SL Calculation: Instead of just using the UT line as your stop, the indicator suggests a better SL based on actual support/resistance. This prevents getting stopped out by wicks while keeping risk controlled.
Visual Audit Trail: All SL/TP lines freeze when touched with clear markers. You can review your trades weeks later and see exactly where entries, stops, and targets were.
Performance Options: "Draw UT visuals only on bar close" lets you reduce rendering load without affecting logic or alerts - critical for slower machines or 1m charts.
Trading Logic:
UT Bot flips direction (Buy or Sell signal appears)
Check Bias Table for multi-timeframe confirmation
Optional: Wait for Base signal or candlestick pattern
Enter at signal bar close or next bar open
Place stop at "Suggested Stop Loss" line
Scale out at TP levels (TP1, TP2, TP3)
Exit remaining position on opposite UT signal or stop hit
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5. UNDERSTANDING THE MARKET BIAS TABLE
This is the indicator's unique multi-timeframe intelligence layer. Instead of looking at one chart at a time, the table aggregates signals across seven timeframes plus macro trend bias.
Why Multi-Timeframe Analysis Matters:
Professional traders check higher and lower timeframes for context:
Is the 1h uptrend aligning with my 5m entry?
Are all short-term timeframes bullish or just one?
Is the daily trend supportive or fighting me?
Doing this manually means opening multiple charts, checking each indicator, and making mental notes. The Bias Table does it automatically in one glance.
Table Structure:
Header Row:
On intraday charts: 1m, 5m, 15m, 30m, 1h, 2h, 4h (toggle which ones you want)
On daily+ charts: D, W, M (automatic)
Green dot next to title = live updating
Headline Rows - Macro Bias:
These show broad market direction over longer periods:
3 Day Bias: Trend over last 3 trading sessions (uses 1h data)
Weekly Bias: Trend over last 5 trading sessions (uses 4h data)
Monthly Bias: Trend over last 30 daily bars
Quarterly Bias: Trend over last 13 weekly bars
VIX Fear Index: Market regime based on VIX level - bullish when low, bearish when high
Opening Range Breakout: Status of price vs. session open range (intraday only)
These rows show text: "BULLISH", "BEARISH", or "NEUTRAL"
Indicator Rows - Technical Signals:
These evaluate your configured indicators across all active timeframes:
Fast MA > Medium MA (shows your actual MA settings, e.g., "EMA 10 > SMA 20")
Price > Long MA (e.g., "Price > SMA 200")
Price > VWAP
MACD > Signal
Supertrend (up/down/neutral)
ZLSMA Rising
RSI In Zone
ADX ≥ Minimum
These rows show emojis: GREEB (bullish), RED (bearish), GRAY/YELLOW (neutral/NA)
AVG Column:
Shows percentage of active timeframes that are bullish for that row. This is the KEY metric:
AVG > 70% = strong multi-timeframe bullish alignment
AVG 40-60% = mixed/choppy, no clear trend
AVG < 30% = strong multi-timeframe bearish alignment
How to Use the Table:
For a long trade:
Check AVG column - want to see > 60% ideally
Check headline bias rows - want to see BULLISH, not BEARISH
Check VIX row - bullish market regime preferred
Check ORB row (intraday) - want ABOVE for longs
Scan indicator rows - more green = better confirmation
For a short trade:
Check AVG column - want to see < 40% ideally
Check headline bias rows - want to see BEARISH, not BULLISH
Check VIX row - bearish market regime preferred
Check ORB row (intraday) - want BELOW for shorts
Scan indicator rows - more red = better confirmation
When AVG is 40-60%:
Market is choppy, mixed signals. Either stay out or reduce position size significantly. These are low-probability environments.
Unique Features:
Dynamic Labels: Row names show your actual settings (e.g., "EMA 10 > SMA 20" not generic "Fast > Slow"). You know exactly what's being evaluated.
Customizable Rows: Turn off rows you don't care about. Only show what matters to your strategy.
Customizable Timeframes: On intraday charts, disable 1m or 4h if you don't trade them. Reduces calculation load by 20-40%.
Automatic HTF Handling: On Daily/Weekly/Monthly charts, the table automatically switches to D/W/M columns. No configuration needed.
Performance Smart: "Hide BIAS table on 1D or above" option completely skips all table calculations on higher timeframes if you only trade intraday.
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6. CANDLESTICK PATTERN RECOGNITION
The indicator automatically detects six major reversal patterns and marks them with emojis at the relevant bars.
Why These Six Patterns:
These are the most statistically significant reversal patterns according to trading literature:
High win rate when appearing at support/resistance
Clear visual structure (not subjective)
Work across all timeframes and assets
Studied extensively by institutions
The Patterns:
Bullish Patterns (appear at bottoms):
Bullish Engulfing: Green candle completely engulfs prior red candle's body. Strong reversal signal.
Hammer: Small body with long lower wick (at least 2× body size). Shows rejection of lower prices by buyers.
Morning Star: Three-candle pattern (large red → small indecision → large green). Very strong bottom reversal.
Bearish Patterns (appear at tops):
Bearish Engulfing: Red candle completely engulfs prior green candle's body. Strong reversal signal.
Shooting Star: Small body with long upper wick (at least 2× body size). Shows rejection of higher prices by sellers.
Evening Star: Three-candle pattern (large green → small indecision → large red). Very strong top reversal.
Interactive Tooltips:
Unlike most pattern indicators that just draw shapes, this one is educational:
Hover your mouse over any pattern emoji
A tooltip appears explaining: what the pattern is, what it means, when it's most reliable, and how to trade it
No need to memorize - learn as you trade
Noise Filter:
"Min candle body % to filter noise" setting prevents false signals:
Patterns require minimum body size relative to price
Filters out tiny candles that don't represent real buying/selling pressure
Adjust based on asset volatility (higher % for crypto, lower for low-volatility stocks)
How to Trade Patterns:
Patterns are NOT standalone entry signals. Use them as:
Confirmation: UT Bot gives signal + pattern appears = stronger entry
Reversal Warning: In a trade, opposite pattern appears = consider tightening stop or taking profit
Support/Resistance Validation: Pattern at key level (PDH, VWAP, MA 200) = level is being respected
Best combined with:
UT Bot or Base signal in same direction
Bias Table alignment (AVG > 60% or < 40%)
Appearance at obvious support/resistance
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7. VISUAL TOOLS AND FEATURES
VWAP (Volume Weighted Average Price):
Session-anchored VWAP with standard deviation bands. Shows institutional "fair value" for the trading session.
Anchor Options: Session, Day, Week, Month, Quarter, Year. Choose based on your trading timeframe.
Bands: Up to three pairs (X1, X2, X3) showing statistical deviation. Price at outer bands often reverses.
Auto-Hide on HTF: VWAP hides on Daily/Weekly/Monthly charts automatically unless you enable anchored mode.
Use VWAP as:
Directional bias (above = bullish, below = bearish)
Mean reversion levels (outer bands)
Support/resistance (the VWAP line itself)
Previous Day High/Low:
Automatically plots yesterday's high and low on intraday charts:
Updates at start of each new trading day
Theme-aware colors (dark text for light charts, light text for dark charts)
Hidden automatically on Daily/Weekly/Monthly charts
These levels are critical for intraday traders - institutions watch them closely as support/resistance.
Opening Range Breakout (ORB):
Tracks the high/low of the first 5, 15, 30, or 60 minutes of the trading session:
Customizable session times (preset for NYSE, LSE, TSE, or custom)
Shows current breakout status in Bias Table row (ABOVE, BELOW, INSIDE, BUILDING)
Intraday only - auto-disabled on Daily+ charts
ORB is a classic day trading strategy - breakout above opening range often leads to continuation.
Extra Labels:
Change from Open %: Shows how far price has moved from session open (intraday) or daily open (HTF). Green if positive, red if negative.
ADX Badge: Small label at bottom of last bar showing current ADX value. Green when above your minimum threshold, red when below.
RSI Badge: Small label at top of last bar showing current RSI value with zone status (buy zone, sell zone, or neutral).
These labels provide quick at-a-glance confirmation without needing separate indicator windows.
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8. HOW TO USE THE INDICATOR
Step 1: Add to Chart
Load the indicator on your chosen asset and timeframe
First time: Everything is enabled by default - the chart will look busy
Don't panic - you'll turn off what you don't need
Step 2: Start Simple
Turn OFF everything except:
UT Bot labels (keep these ON)
Bias Table (keep this ON)
Moving Averages (Fast and Medium only)
Suggested Stop Loss and Take Profits
Hide everything else initially. Get comfortable with the basic UT Bot + Bias Table workflow first.
Step 3: Learn the Core Workflow
UT Bot gives a Buy or Sell signal
Check Bias Table AVG column - do you have multi-timeframe alignment?
If yes, enter the trade
Place stop at Suggested Stop Loss line
Scale out at TP levels
Exit on opposite UT signal
Trade this simple system for a week. Get a feel for signal frequency and win rate with your settings.
Step 4: Add Filters Gradually
If you're getting too many losing signals (whipsaws in choppy markets), add filters one at a time:
Try: "Require 2-Bar Trend Confirmation" - wait for 2 bars to confirm direction
Try: ADX filter with minimum threshold - only trade when trend strength is sufficient
Try: RSI pullback filter - only enter on pullbacks, not chasing
Try: Volume filter - require above-average volume
Add one filter, test for a week, evaluate. Repeat.
Step 5: Enable Advanced Features (Optional)
Once you're profitable with the core system, add:
Supertrend for additional trend confirmation
Candlestick patterns for reversal warnings
VWAP for institutional anchor reference
ORB for intraday breakout context
ZLSMA for low-lag trend following
Step 6: Optimize Settings
Every setting has a detailed tooltip explaining what it does and typical values. Hover over any input to read:
What the parameter controls
How it impacts trading
Suggested ranges for scalping, day trading, and swing trading
Start with defaults, then adjust based on your results and style.
Step 7: Set Up Alerts
Right-click chart → Add Alert → Condition: "Luxy Momentum v6" → Choose:
"UT Bot — Buy" for long entries
"UT Bot — Sell" for short entries
"Base Long/Short" for filtered MA cross signals
Optionally enable "Send real-time alert() on UT flip" in settings for immediate notifications.
Common Workflow Variations:
Conservative Trader:
UT signal + Base signal + Candlestick pattern + Bias AVG > 70%
Enter only at major support/resistance
Wider UT sensitivity, multiple filters
Aggressive Trader:
UT signal + Bias AVG > 60%
Enter immediately, no waiting
Tighter UT sensitivity, minimal filters
Swing Trader:
Focus on Daily/Weekly Bias alignment
Ignore intraday noise
Use ORB and PDH/PDL less (or not at all)
Wider stops, patient approach
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9. PERFORMANCE AND OPTIMIZATION
The indicator is optimized for speed, but with 15+ features running simultaneously, chart load time can add up. Here's how to keep it fast:
Biggest Performance Gains:
Disable Unused Timeframes: In "Time Frames" settings, turn OFF any timeframe you don't actively trade. Each disabled TF saves 10-15% calculation time. If you only day trade 5m, 15m, 1h, disable 1m, 2h, 4h.
Hide Bias Table on Daily+: If you only trade intraday, enable "Hide BIAS table on 1D or above". This skips ALL table calculations on higher timeframes.
Draw UT Visuals Only on Bar Close: Reduces intrabar rendering of SL/TP/Entry lines. Has ZERO impact on logic or alerts - purely visual optimization.
Additional Optimizations:
Turn off VWAP bands if you don't use them
Disable candlestick patterns if you don't trade them
Turn off Supertrend fill if you find it distracting (keep the line)
Reduce "Limit to 10 bars" for SL/TP lines to minimize line objects
Performance Features Built-In:
Smart Caching: Higher timeframe data (3-day bias, weekly bias, etc.) updates once per day, not every bar
Conditional Calculations: Volume filter only calculates when enabled. Swing filter only runs when enabled. Nothing computes if turned off.
Modular Design: Every component is independent. Turn off what you don't need without breaking other features.
Typical Load Times:
5m chart, all features ON, 7 timeframes: ~2-3 seconds
5m chart, core features only, 3 timeframes: ~1 second
1m chart, all features: ~4-5 seconds (many bars to calculate)
If loading takes longer, you likely have too many indicators on the chart total (not just this one).
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10. FAQ
Q: How is this different from standard UT Bot indicators?
A: Standard UT Bot (originally by @QuantNomad) is just the ATR trailing line and flip signals. This implementation adds:
- Volume weighting and momentum adjustment to the trailing calculation
- Multiple confirmation filters (swing, %, 2-bar, ZLSMA)
- Smart composite stop loss system from multiple S/R layers
- R-multiple take profit system with freeze-on-touch
- Integration with multi-timeframe Bias Table
- Visual audit trail with checkmarks
Q: Can I use this for automated trading?
A: The indicator is designed for discretionary trading. While it has clear signals and alerts, it's not a mechanical system. Context and judgment are required.
Q: Does it repaint?
A: No. All signals respect bar close. UT Bot logic runs intrabar but signals only trigger on confirmed bars. Alerts fire correctly with no lookahead.
Q: Do I need to use all the features?
A: Absolutely not. The indicator is modular. Many profitable traders use just UT Bot + Bias Table + Moving Averages. Start simple, add complexity only if needed.
Q: How do I know which settings to use?
A: Every single input has a detailed tooltip. Hover over any setting to see:
What it does
How it affects trading
Typical values for scalping, day trading, swing trading
Start with defaults, adjust gradually based on results.
Q: Can I use this on crypto 24/7 markets?
A: Yes. ORB will not work (no defined session), but everything else functions normally. Use "Day" anchor for VWAP instead of "Session".
Q: The Bias Table is blank or not showing.
A: Check:
"Show Table" is ON
Table position isn't overlapping another indicator's table (change position)
At least one row is enabled
"Hide BIAS table on 1D or above" is OFF (if on Daily+ chart)
Q: Why are candlestick patterns not appearing?
A: Patterns are relatively rare by design - they only appear at genuine reversal points. Check:
Pattern toggles are ON
"Min candle body %" isn't too high (try 0.05-0.10)
You're looking at a chart with actual reversals (not strong trending market)
Q: UT Bot is too sensitive/not sensitive enough.
A: Adjust "Sensitivity (Key×ATR)". Lower number = tighter stop, more signals. Higher number = wider stop, fewer signals. Read the tooltip for guidance.
Q: Can I get alerts for the Bias Table?
A: The Bias Table is a dashboard for visual analysis, not a signal generator. Set alerts on UT Bot or Base signals, then manually check Bias Table for confirmation.
Q: Does this work on stocks with low volume?
A: Yes, but turn OFF the volume filter. Low volume stocks will never meet relative volume requirements.
Q: How often should I check the Bias Table?
A: Before every entry. It takes 2 seconds to glance at the AVG column and headline rows. This one check can save you from fighting the trend.
Q: What if UT signal and Base signal disagree?
A: UT Bot is more aggressive (ATR trailing). Base signals are more conservative (MA cross + filters). If they disagree, either:
Wait for both to align (safest)
Take the UT signal but with smaller size (aggressive)
Skip the trade (conservative)
There's no "right" answer - depends on your risk tolerance.
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FINAL NOTES
The indicator gives you an edge. How you use that edge determines results.
For questions, feedback, or support, comment on the indicator page or message the author.
Happy Trading!
ZynAlgo TrendlineZynAlgo Trendline is an advanced multi-layer trend detection system built to simplify trade entries and exits with precision.
It automatically identifies key trend alignments using three moving averages (Type 1, Type 2, and Main Trendline) — combining multi-timeframe confluence, slope-based trend filtering, and touch-confirmation logic for accurate entry timing.
💡 Key Highlights:
Auto trendline system for clear market direction.
Multi-Timeframe confluence (up to 8 TFs) to confirm trend strength.
Slope-based filter to eliminate choppy or sideways market conditions.
Dynamic Stop Loss & Take Profit management (Structure, MA, or ATR modes).
Integrated dashboard with live entry status, SL/TP levels, and session filters.
Whether you’re a trend follower or swing trader, ZynAlgo Trendline provides all the structure and automation you need to trade confidently with clear visual logic.
Access to ZynAlgo Trendline is available only for verified members.
To request access:
1️⃣ Visit zynalgo.com
and create your account.
2️⃣ Choose your plan.
3️⃣ After purchase, submit your TradingView username via form on email or support chat.
4️⃣ Access will be granted within 24 hours.
DM Auto PDH/PDL/PMH/PMLThe “DM Auto PDH/PDL/PMH/PML” indicator is a price-level plotting tool designed for intraday traders who want to automatically display key reference levels on their TradingView chart — specifically:
What It Does
It automatically plots and labels:
PDH (Previous Day High) – The highest price of the previous trading day.
PDL (Previous Day Low) – The lowest price of the previous trading day.
PMH (Premarket High) – The highest price during the premarket session (e.g., 4:00–9:30 AM).
PML (Premarket Low) – The lowest price during the premarket session.
These levels are critical for many day traders to identify:
Potential support/resistance zones.
Breakout or reversal areas.
Liquidity zones where price tends to react.
Key Features
Automatic Detection:
The script calculates these levels automatically from live or historical data.
Custom Session Settings:
You can define your premarket hours (default: 04:00–09:30 exchange time).
Visual Customization:
Choose whether to show lines only on the latest bar or across the whole chart.
Choose line colors for PDH, PDL, PMH, and PML.
Optionally display labels (e.g., “PDH”, “PML”) at the right edge of the chart.
No Signals or Strategy Logic:
This version does not buy/sell or alert — it’s purely a visual reference indicator for price levels.
Typical Uses
Day traders and scalpers use this to:
Plan trades around prior-day highs/lows (major intraday levels).
Identify premarket extremes, which often act as first support/resistance after the open.
Combine with other indicators (VWAP, moving averages, volume profiles) for confirmation.
Summary
Level Meaning Common Usage
PDH Previous Day High Resistance / Breakout Target
PDL Previous Day Low Support / Breakdown Target
PMH Premarket High Intraday Resistance Zone
PML Premarket Low Intraday Support Zone
DM Scalper FlowHow to enter trades manually
You can use this workflow:
For LONG entries
Wait for the “LONG ▲” bias to appear on the table.
Confirm the candle is bullish (close > open) and above VWAP.
Enter at or near the close of that bar or on a small pullback.
Set stop loss at Bull SL, target at Bull TP from the table.
For SHORT (PUT) entries
Wait for the “PUT ▼” bias.
Confirm the candle is bearish (close < open) and below VWAP.
Enter near the close or next small retracement.
Use Bear SL and Bear TP from the table.
How to interpret the table
Row Meaning Usage
Bull SL / TP ATR-based Stop-Loss and Take-Profit levels for a long Use as your entry plan if you take a long
Bear SL / TP ATR-based levels for a short Use for short entries
Bias “LONG” or “PUT” signal + arrow Follow only when it’s active
VWAP TrendThe VWAP Trend indicator is a powerful visualization tool that blends a smoothed Volume-Weighted Average Price (VWAP) with a trend-following EMA to reveal the underlying market bias in a clear, color-coded format.
Unlike a standard VWAP that only resets intraday, VWAP Trend allows traders to anchor VWAP calculations to Daily, Weekly, or Monthly sessions. This flexibility makes it suitable for all trading styles — from intraday scalping to long-term swing analysis.
The smoothed VWAP provides a stable representation of the true average price weighted by volume, while the EMA reflects the prevailing market trend. When the EMA remains above the VWAP, the indicator highlights bullish conditions with blue tones. When it moves below, bearish momentum is displayed with orange tones.
Features
Adjustable VWAP anchor timeframe (Daily, Weekly, or Monthly)
Smoothed VWAP for reduced noise and improved accuracy
Dynamic EMA overlay for real-time trend detection
Color-coded shading between price and VWAP
Minimalist design ideal for clean chart analysis
How to Use
Select your preferred VWAP anchor timeframe.
Observe how the shading color shifts between blue (bullish) and orange (bearish).
Use these transitions to gauge market bias, confirm trade setups, or identify potential mean reversion zones.
DM Super AlgoHere’s what each row in the Summary Table means and how you’d use it:
Mode
Shows your selected trade style (Scalp / Day trade / Swing) plus the ATR settings tied to it.
Use it to remember what volatility context you set the algo to (it also informs some visuals/OB stats under the hood).
ADX
Current trend strength from the Wilder ADX. It also labels the regime: WEAK / MODERATE / STRONG / VERY STRONG.
When ADX is below your “ADX min” input, the algo treats trend as weak; unified signals only fire when trend is strong.
Vol >MA*x
Whether current volume is UNUSUAL (above SMA(volume, flowVolLen) × flowVolMult) or NORMAL.
UNUSUAL volume = better odds a move can follow through; it also contributes a “vote.”
RSI(len)
Shows RSI value or zone: Overbought / OB Zone / Oversold / OS Zone / number.
Above 50 adds a bull vote; below 50 adds a bear vote. OB/OS text just gives quick context.
ATR(len)
Shows the ATR and (optionally) the ATR % of price (e.g., “1.23 (0.65%)”).
Higher ATR = more noise/range; useful for setting stops/targets sized to current volatility.
DM Total BUY
Rolling total of estimated buy volume over your lookback window (formatted in K/M/B).
Bigger than SELL suggests net buying pressure recently.
DM Total SELL
Rolling total of estimated sell volume over the same window.
Bigger than BUY suggests net selling pressure recently.
DM Buy Dom%
The share of buy volume in total (BUY / (BUY+SELL)), as a percentage.
>50% favors bulls; <50% favors bears. It also feeds a vote.
Votes (B/Bear)
The bull vs bear tally from 5 components:
Price vs EMA(Trend)
RSI vs 50
DM dominance (>50%)
CVD slope (last 5 bars)
Volume condition
When trend is strong (ADX filter passes) and one side has ≥3 votes AND more than the other, the script plots its triangle marker.
How to use the table (quick workflow)
Check ADX: If not “STRONG/VERY STRONG,” be cautious—signals won’t print unless trend passes your ADX threshold.
Scan Votes: A clear majority (e.g., 4/1) is stronger than 3/2.
Confirm with Volume: “UNUSUAL” volume increases conviction.
Gauge Volatility: Use ATR (and ATR%) to size stops/targets.
Read DM & Dominance: BUY vs SELL totals and DM Buy Dom% tell you whether the recent flow supports the direction.
Next-Day Open Bias (NDO) — Clean HUD (Compat)What It’s Designed To Do
Goal:
Predict whether the next day’s market open will gap up (bullish) or down (bearish) — useful for swing entries into next-day expiry trades, e.g. SPX 0DTE or next-day options.
It’s a probability-driven model, not a buy/sell signal generator.
It gives you a probability bias for the next day’s opening direction.
The text color instantly tells you:
🟩 Green = Bull signal (expect next-day gap up)
🟥 Red = Bear signal (expect next-day gap down)
⚪ White = Neutral / no edge
Continuation Suite v1 — 5m/15mContinuation Suite v1 — 5m/15m (Non-Repainting, S/R + Trend Continuation)
What it does
Continuation Suite v1 is a practical intraday toolkit that combines non-repainting trend-continuation signals with auto-built Support/Resistance (S/R) from confirmed pivots. It’s designed for fast, liquid names on 5m charts with an optional 15m higher-timeframe (HTF) overlay. You get: stacked-EMA bias, disciplined pullback+reclaim entries, optional volume/volatility gates, a “Strong” signal tier, solid S/R lines or zones, and a compact dashboard for fast reads.
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Why traders use it
• Clear bias using fast/mid/slow EMA stacking.
• Actionable entries that require a pullback, a reclaim, and (optionally) a minor break of prior extremes.
• Signal quality gates (volume vs SMA, ATR%, ADX/DI alignment, EMA spacing, slope).
• Non-repainting logic when “Confirm on Close” = ON. Intrabar previews show what’s forming, but confirmed signals only print on bar close.
• S/R that matters: confirmed-pivot lines or ATR-sized zones, optional HTF overlay, and auto de-dup to avoid clutter.
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Signal construction (no magic, just rules)
Bullish continuation (base):
1. Trend: EMA fast > EMA mid > EMA slow
2. Pullback: price pulls into the stack (lowest low or close vs EMA fast/mid over a lookback)
3. Reclaim: close > EMA fast and close > open
4. Break filter (optional): current bar takes out the prior bar’s high
5. Filters: volume > SMA (if enabled) and ATR% ≤ max (if enabled)
6. Cooldown: a minimum bar gap between signals
Bearish continuation (base): mirror of the above.
Strong signals: base conditions plus ADX ≥ threshold, DI alignment (DI+>DI- for longs; DI->DI+ for shorts), minimum EMA-spacing %, and minimum fast-EMA slope.
Reference stops:
• Longs: lowest low over the pullback lookback
• Shorts: highest high over the pullback lookback
Alerts are included for: Bullish Continuation, Bearish Continuation, STRONG Bullish, STRONG Bearish.
⸻
S/R engine (current TF + optional HTF)
• Builds S/R from confirmed pivots only (left/right bars).
• Choose Lines (midlines) or Zones (ATR-sized).
• Zones merge when a new pivot lands near an existing zone’s mid (ATR-scaled epsilon).
• Touches counter tracks significance; you can require a minimum to draw.
• HTF overlay (default 15m) draws separate lines/zones with tiny TF tags on the right.
• De-dup option hides current-TF zones that sit too close to HTF zones (ATR-scaled), reducing overlap.
• Freeze on Close (optional) keeps arrays stable intrabar; snapshots show levels immediately as bars open.
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Presets
• Auto: Detects QQQ-like tickers (QQQ, QLD, QID) or SoFi; else defaults to Custom.
• QQQ: Tighter ATR% and EMA settings geared to index-ETF behavior.
• SoFi: Wider ATR allowances and longer mid/slow for single-name behavior.
• Custom: Expose all key inputs to tune for your product.
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Dashboard (top-right)
• Preset in use
• Bias (Bullish CONT / Bearish CONT / Neutral)
• Strong (Yes/No)
• Volatility (ATR% bucket)
• Trend (ADX bucket)
• HTF timeframe tag
• Volume (bucket or “off”)
• Signals mode (Close-Confirmed vs Intrabar)
⸻
Inputs you’ll actually adjust
Trend/Signals
• Fast/Mid/Slow EMA lengths
• Pullback lookback, Min bars between signals
• Volume filter (vol > SMA N)
• ATR% max filter (cap excessive volatility)
• Require break of prior bar’s high/low
• “Strong” gates: min EMA slope, min EMA spacing %, ADX length & threshold
Support/Resistance
• Lines vs Zones
• Pivot left/right bars
• Extend left/right (bars)
• Max pivots kept (current & HTF)
• Zone width (× ATR), Merge epsilon (× ATR), Min gap (× ATR)
• Min touches, Max zones per side near price
• De-dup current TF vs HTF (× ATR)
Repainting control
• Confirm on Close: when ON, signals/SR finalize on bar close (non-repainting)
• Freeze on Close: freeze S/R intrabar with snapshot updates
• Show previews: translucent intrabar labels for what’s forming
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How to use it (straightforward)
1. Load on 5-minute chart (baseline). Keep Confirm on Close ON if you hate repainting.
2. Use Bias + Strong + S/R context. If a long prints into HTF resistance, you have information.
3. Manage risk off the reference stop (pullback extreme). If ATR% reads “Great,” widen expectations; if “Poor,” size down or pass.
4. Alerts: wire the four alert types to your workflow.
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Notes and constraints
• Designed for liquid symbols. Thin books and synthetic “volume” will degrade the volume gate.
• S/R is pivot-based. On very choppy tape, touch counts help. Increase min touches or switch to Lines to declutter.
• If your chart timeframe isn’t 5m, behavior changes because lengths are in bars, not minutes. Tune lengths accordingly.
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Disclaimers
This is a research tool. No signals are guaranteed. Markets change, outliers happen, slippage is real. Nothing here is financial advice—use your own judgment and risk management.
⸻
Author: DaddyScruff
License: MPL-2.0 (Mozilla Public License 2.0)
BND Trader (By Vahid.Jz) 🇮🇷🎉 The first Persian indicator on TradingView, released for free to celebrate my daughter's birthday. 🎉
**Trading Assistant (by Vahid.Jz)** is an all-in-one tool designed to simplify analysis and improve accuracy. It acts as an intelligent trading partner.
**Features:**
- Market Structure detection
- Multi-Timeframe “Third Eye” analysis
- Professional Order Blocks recognition
- Fair Value Gaps (FVGs) detection
- Customizable alerts
- Fully Persian interface
- Create Custom Alarm
Developed with love by **Vahid.Jz**, a trader and Pine Script enthusiast.
*“Trading is not a destination; it’s the journey — a path of learning, growth, and experience.”*
DM Flow AlgoDM Flow Algo is a volume-based flow analysis tool that compares buying vs. selling pressure in the market over a rolling window of bars.
It helps identify whether buyers or sellers are dominant, and optionally, it can align that with trend direction (via EMAs).
It’s designed for volume flow insight, trend confirmation, and momentum shifts.
