RSI Distance & BB Width OnlyThis indicator shows the Relative Strength Index Distance Bollinger Bands Width
Oscillators
TASC 2025.07 Laguerre Filters█ OVERVIEW
This script implements the Laguerre filter and oscillator described by John F. Ehlers in the article "A Tool For Trend Trading, Laguerre Filters" from the July 2025 edition of TASC's Traders' Tips . The new Laguerre filter utilizes the UltimateSmoother filter in place of an exponential moving average (EMA) in its calculation, offering improved responsiveness and reduced lag.
█ CONCEPTS
As Ehlers explains in his article, the Laguerre filter is a form of transversal filter . A transversal filter calculates an output signal using a tapped delay line . It creates multiple delayed versions of an input signal, applies weight to each delay, and then calculates their sum to generate the filtered result.
The Laguerre filter's structure relies on Laguerre polynomials — solutions to a differential equation solved by Edmond Laguerre in the 1800s. When Ehlers analyzed the formula for these polynomials on discrete systems (e.g., financial time series), he found that the first term's expression corresponds to an EMA response, and all subsequent terms correspond to an all-pass response. In contrast to other filter types, an all-pass filter produces phase shift (i.e., delay) in an input signal's components without affecting its amplitude.
Ehlers observed that these characteristics of Laguerre polynomials make them suitable for use in a transversal filter structure, and thus the Laguerre filter was born. However, he notes that EMAs are not great filters in general. As such, to improve on the Laguerre filter's design, Ehlers modified it by replacing the EMA term with his UltimateSmoother filter. The resulting Laguerre filter has significantly reduced lag, achieving a tighter response to market fluctuations while maintaining smoothness. Ehlers suggests that traders can analyze crossings between the UltimateSmoother and this Laguerre filter, or those between two Laguerre filters of different order, for helpful buy and sell signals.
In addition to the Laguerre filter, Ehlers derived a smooth, low-lag oscillator based on the difference between the first and second terms in the modified filter structure, scaled by the root mean square (RMS). The resulting oscillator provides an alternative filtered representation of market data, which can help traders identify swing and mean-reversion signals.
█ USAGE
This indicator calculates both the Laguerre filter and the Laguerre oscillator described in Ehlers' article. It displays the Laguerre filter on the main chart pane and the oscillator in a separate pane.
Users can control the behavior of the filter and oscillator with the inputs in the "Settings/Inputs" tab:
The "Period" input defines the critical period of the UltimateSmoother used in the Laguerre filter and oscillator calculations. Its default value is 30.
The "Gamma" input determines the weighting behavior of the Laguerre filter and oscillator. It accepts a positive value between 0 and 1. Use a lower value for quicker responsiveness to market changes, and a higher value for trends. The default value is 0.5.
The "RMS length" input determines the length of the RMS calculation for oscillator normalization. The default value is 100 bars.
Grothendieck-Teichmüller Geometric SynthesisDskyz's Grothendieck-Teichmüller Geometric Synthesis (GTGS)
THEORETICAL FOUNDATION: A SYMPHONY OF GEOMETRIES
The 🎓 GTGS is built upon a revolutionary premise: that market dynamics can be modeled as geometric and topological structures. While not a literal academic implementation—such a task would demand computational power far beyond current trading platforms—it leverages core ideas from advanced mathematical theories as powerful analogies and frameworks for its algorithms. Each component translates an abstract concept into a practical market calculation, distinguishing GTGS by identifying deeper structural patterns rather than relying on standard statistical measures.
1. Grothendieck-Teichmüller Theory: Deforming Market Structure
The Theory : Studies symmetries and deformations of geometric objects, focusing on the "absolute" structure of mathematical spaces.
Indicator Analogy : The calculate_grothendieck_field function models price action as a "deformation" from its immediate state. Using the nth root of price ratios (math.pow(price_ratio, 1.0/prime)), it measures market "shape" stretching or compression, revealing underlying tensions and potential shifts.
2. Topos Theory & Sheaf Cohomology: From Local to Global Patterns
The Theory : A framework for assembling local properties into a global picture, with cohomology measuring "obstructions" to consistency.
Indicator Analogy : The calculate_topos_coherence function uses sine waves (math.sin) to represent local price "sections." Summing these yields a "cohomology" value, quantifying price action consistency. High values indicate coherent trends; low values signal conflict and uncertainty.
3. Tropical Geometry: Simplifying Complexity
The Theory : Transforms complex multiplicative problems into simpler, additive, piecewise-linear ones using min(a, b) for addition and a + b for multiplication.
Indicator Analogy : The calculate_tropical_metric function applies tropical_add(a, b) => math.min(a, b) to identify the "lowest energy" state among recent price points, pinpointing critical support levels non-linearly.
4. Motivic Cohomology & Non-Commutative Geometry
The Theory : Studies deep arithmetic and quantum-like properties of geometric spaces.
Indicator Analogy : The motivic_rank and spectral_triple functions compute weighted sums of historical prices to capture market "arithmetic complexity" and "spectral signature." Higher values reflect structured, harmonic price movements.
5. Perfectoid Spaces & Homotopy Type Theory
The Theory : Abstract fields dealing with p-adic numbers and logical foundations of mathematics.
Indicator Analogy : The perfectoid_conv and type_coherence functions analyze price convergence and path identity, assessing the "fractal dust" of price differences and price path cohesion, adding fractal and logical analysis.
The Combination is Key : No single theory dominates. GTGS ’s Unified Field synthesizes all seven perspectives into a comprehensive score, ensuring signals reflect deep structural alignment across mathematical domains.
🎛️ INPUTS: CONFIGURING THE GEOMETRIC ENGINE
The GTGS offers a suite of customizable inputs, allowing traders to tailor its behavior to specific timeframes, market sectors, and trading styles. Below is a detailed breakdown of key input groups, their functionality, and optimization strategies, leveraging provided tooltips for precision.
Grothendieck-Teichmüller Theory Inputs
🧬 Deformation Depth (Absolute Galois) :
What It Is : Controls the depth of Galois group deformations analyzed in market structure.
How It Works : Measures price action deformations under automorphisms of the absolute Galois group, capturing market symmetries.
Optimization :
Higher Values (15-20) : Captures deeper symmetries, ideal for major trends in swing trading (4H-1D).
Lower Values (3-8) : Responsive to local deformations, suited for scalping (1-5min).
Timeframes :
Scalping (1-5min) : 3-6 for quick local shifts.
Day Trading (15min-1H) : 8-12 for balanced analysis.
Swing Trading (4H-1D) : 12-20 for deep structural trends.
Sectors :
Stocks : Use 8-12 for stable trends.
Crypto : 3-8 for volatile, short-term moves.
Forex : 12-15 for smooth, cyclical patterns.
Pro Tip : Increase in trending markets to filter noise; decrease in choppy markets for sensitivity.
🗼 Teichmüller Tower Height :
What It Is : Determines the height of the Teichmüller modular tower for hierarchical pattern detection.
How It Works : Builds modular levels to identify nested market patterns.
Optimization :
Higher Values (6-8) : Detects complex fractals, ideal for swing trading.
Lower Values (2-4) : Focuses on primary patterns, faster for scalping.
Timeframes :
Scalping : 2-3 for speed.
Day Trading : 4-5 for balanced patterns.
Swing Trading : 5-8 for deep fractals.
Sectors :
Indices : 5-8 for robust, long-term patterns.
Crypto : 2-4 for rapid shifts.
Commodities : 4-6 for cyclical trends.
Pro Tip : Higher towers reveal hidden fractals but may slow computation; adjust based on hardware.
🔢 Galois Prime Base :
What It Is : Sets the prime base for Galois field computations.
How It Works : Defines the field extension characteristic for market analysis.
Optimization :
Prime Characteristics :
2 : Binary markets (up/down).
3 : Ternary states (bull/bear/neutral).
5 : Pentagonal symmetry (Elliott waves).
7 : Heptagonal cycles (weekly patterns).
11,13,17,19 : Higher-order patterns.
Timeframes :
Scalping/Day Trading : 2 or 3 for simplicity.
Swing Trading : 5 or 7 for wave or cycle detection.
Sectors :
Forex : 5 for Elliott wave alignment.
Stocks : 7 for weekly cycle consistency.
Crypto : 3 for volatile state shifts.
Pro Tip : Use 7 for most markets; 5 for Elliott wave traders.
Topos Theory & Sheaf Cohomology Inputs
🏛️ Temporal Site Size :
What It Is : Defines the number of time points in the topological site.
How It Works : Sets the local neighborhood for sheaf computations, affecting cohomology smoothness.
Optimization :
Higher Values (30-50) : Smoother cohomology, better for trends in swing trading.
Lower Values (5-15) : Responsive, ideal for reversals in scalping.
Timeframes :
Scalping : 5-10 for quick responses.
Day Trading : 15-25 for balanced analysis.
Swing Trading : 25-50 for smooth trends.
Sectors :
Stocks : 25-35 for stable trends.
Crypto : 5-15 for volatility.
Forex : 20-30 for smooth cycles.
Pro Tip : Match site size to your average holding period in bars for optimal coherence.
📐 Sheaf Cohomology Degree :
What It Is : Sets the maximum degree of cohomology groups computed.
How It Works : Higher degrees capture complex topological obstructions.
Optimization :
Degree Meanings :
1 : Simple obstructions (basic support/resistance).
2 : Cohomological pairs (double tops/bottoms).
3 : Triple intersections (complex patterns).
4-5 : Higher-order structures (rare events).
Timeframes :
Scalping/Day Trading : 1-2 for simplicity.
Swing Trading : 3 for complex patterns.
Sectors :
Indices : 2-3 for robust patterns.
Crypto : 1-2 for rapid shifts.
Commodities : 3-4 for cyclical events.
Pro Tip : Degree 3 is optimal for most trading; higher degrees for research or rare event detection.
🌐 Grothendieck Topology :
What It Is : Chooses the Grothendieck topology for the site.
How It Works : Affects how local data integrates into global patterns.
Optimization :
Topology Characteristics :
Étale : Finest topology, captures local-global principles.
Nisnevich : A1-invariant, good for trends.
Zariski : Coarse but robust, filters noise.
Fpqc : Faithfully flat, highly sensitive.
Sectors :
Stocks : Zariski for stability.
Crypto : Étale for sensitivity.
Forex : Nisnevich for smooth trends.
Indices : Zariski for robustness.
Timeframes :
Scalping : Étale for precision.
Swing Trading : Nisnevich or Zariski for reliability.
Pro Tip : Start with Étale for precision; switch to Zariski in noisy markets.
Unified Field Configuration Inputs
⚛️ Field Coupling Constant :
What It Is : Sets the interaction strength between geometric components.
How It Works : Controls signal amplification in the unified field equation.
Optimization :
Higher Values (0.5-1.0) : Strong coupling, amplified signals for ranging markets.
Lower Values (0.001-0.1) : Subtle signals for trending markets.
Timeframes :
Scalping : 0.5-0.8 for quick, strong signals.
Swing Trading : 0.1-0.3 for trend confirmation.
Sectors :
Crypto : 0.5-1.0 for volatility.
Stocks : 0.1-0.3 for stability.
Forex : 0.3-0.5 for balance.
Pro Tip : Default 0.137 (fine structure constant) is a balanced starting point; adjust up in choppy markets.
📐 Geometric Weighting Scheme :
What It Is : Determines the framework for combining geometric components.
How It Works : Adjusts emphasis on different mathematical structures.
Optimization :
Scheme Characteristics :
Canonical : Equal weighting, balanced.
Derived : Emphasizes higher-order structures.
Motivic : Prioritizes arithmetic properties.
Spectral : Focuses on frequency domain.
Sectors :
Stocks : Canonical for balance.
Crypto : Spectral for volatility.
Forex : Derived for structured moves.
Indices : Motivic for arithmetic cycles.
Timeframes :
Day Trading : Canonical or Derived for flexibility.
Swing Trading : Motivic for long-term cycles.
Pro Tip : Start with Canonical; experiment with Spectral in volatile markets.
Dashboard and Visual Configuration Inputs
📋 Show Enhanced Dashboard, 📏 Size, 📍 Position :
What They Are : Control dashboard visibility, size, and placement.
How They Work : Display key metrics like Unified Field , Resonance , and Signal Quality .
Optimization :
Scalping : Small size, Bottom Right for minimal chart obstruction.
Swing Trading : Large size, Top Right for detailed analysis.
Sectors : Universal across markets; adjust size based on screen setup.
Pro Tip : Use Large for analysis, Small for live trading.
📐 Show Motivic Cohomology Bands, 🌊 Morphism Flow, 🔮 Future Projection, 🔷 Holographic Mesh, ⚛️ Spectral Flow :
What They Are : Toggle visual elements representing mathematical calculations.
How They Work : Provide intuitive representations of market dynamics.
Optimization :
Timeframes :
Scalping : Enable Morphism Flow and Spectral Flow for momentum.
Swing Trading : Enable all for comprehensive analysis.
Sectors :
Crypto : Emphasize Morphism Flow and Future Projection for volatility.
Stocks : Focus on Cohomology Bands for stable trends.
Pro Tip : Disable non-essential visuals in fast markets to reduce clutter.
🌫️ Field Transparency, 🔄 Web Recursion Depth, 🎨 Mesh Color Scheme :
What They Are : Adjust visual clarity, complexity, and color.
How They Work : Enhance interpretability of visual elements.
Optimization :
Transparency : 30-50 for balanced visibility; lower for analysis.
Recursion Depth : 6-8 for balanced detail; lower for older hardware.
Color Scheme :
Purple/Blue : Analytical focus.
Green/Orange : Trading momentum.
Pro Tip : Use Neon Purple for deep analysis; Neon Green for active trading.
⏱️ Minimum Bars Between Signals :
What It Is : Minimum number of bars required between consecutive signals.
How It Works : Prevents signal clustering by enforcing a cooldown period.
Optimization :
Higher Values (10-20) : Fewer signals, avoids whipsaws, suited for swing trading.
Lower Values (0-5) : More responsive, allows quick reversals, ideal for scalping.
Timeframes :
Scalping : 0-2 bars for rapid signals.
Day Trading : 3-5 bars for balance.
Swing Trading : 5-10 bars for stability.
Sectors :
Crypto : 0-3 for volatility.
Stocks : 5-10 for trend clarity.
Forex : 3-7 for cyclical moves.
Pro Tip : Increase in choppy markets to filter noise.
Hardcoded Parameters
Tropical, Motivic, Spectral, Perfectoid, Homotopy Inputs : Fixed to optimize performance but influence calculations (e.g., tropical_degree=4 for support levels, perfectoid_prime=5 for convergence).
Optimization : Experiment with codebase modifications if advanced customization is needed, but defaults are robust across markets.
🎨 ADVANCED VISUAL SYSTEM: TRADING IN A GEOMETRIC UNIVERSE
The GTTMTSF ’s visuals are direct representations of its mathematics, designed for intuitive and precise trading decisions.
Motivic Cohomology Bands :
What They Are : Dynamic bands ( H⁰ , H¹ , H² ) representing cohomological support/resistance.
Color & Meaning : Colors reflect energy levels ( H⁰ tightest, H² widest). Breaks into H¹ signal momentum; H² touches suggest reversals.
How to Trade : Use for stop-loss/profit-taking. Band bounces with Dashboard confirmation are high-probability setups.
Morphism Flow (Webbing) :
What It Is : White particle streams visualizing market momentum.
Interpretation : Dense flows indicate strong trends; sparse flows signal consolidation.
How to Trade : Follow dominant flow direction; new flows post-consolidation signal trend starts.
Future Projection Web (Fractal Grid) :
What It Is : Fibonacci-period fractal projections of support/resistance.
Color & Meaning : Three-layer lines (white shadow, glow, colored quantum) with labels showing price, topological class, anomaly strength (φ), resonance (ρ), and obstruction ( H¹ ). ⚡ marks extreme anomalies.
How to Trade : Target ⚡/● levels for entries/exits. High-anomaly levels with weakening Unified Field are reversal setups.
Holographic Mesh & Spectral Flow :
What They Are : Visuals of harmonic interference and spectral energy.
How to Trade : Bright mesh nodes or strong Spectral Flow warn of building pressure before price movement.
📊 THE GEOMETRIC DASHBOARD: YOUR MISSION CONTROL
The Dashboard translates complex mathematics into actionable intelligence.
Unified Field & Signals :
FIELD : Master value (-10 to +10), synthesizing all geometric components. Extreme readings (>5 or <-5) signal structural limits, often preceding reversals or continuations.
RESONANCE : Measures harmony between geometric field and price-volume momentum. Positive amplifies bullish moves; negative amplifies bearish moves.
SIGNAL QUALITY : Confidence meter rating alignment. Trade only STRONG or EXCEPTIONAL signals for high-probability setups.
Geometric Components :
What They Are : Breakdown of seven mathematical engines.
How to Use : Watch for convergence. A strong Unified Field is reliable when components (e.g., Grothendieck , Topos , Motivic ) align. Divergence warns of trend weakening.
Signal Performance :
What It Is : Tracks indicator signal performance.
How to Use : Assesses real-time performance to build confidence and understand system behavior.
🚀 DEVELOPMENT & UNIQUENESS: BEYOND CONVENTIONAL ANALYSIS
The GTTMTSF was developed to analyze markets as evolving geometric objects, not statistical time-series.
Why This Is Unlike Anything Else :
Theoretical Depth : Uses geometry and topology, identifying patterns invisible to statistical tools.
Holistic Synthesis : Integrates seven deep mathematical frameworks into a cohesive Unified Field .
Creative Implementation : Translates PhD-level mathematics into functional Pine Script , blending theory and practice.
Immersive Visualization : Transforms charts into dynamic geometric landscapes for intuitive market understanding.
The GTTMTSF is more than an indicator; it’s a new lens for viewing markets, for traders seeking deeper insight into hidden order within chaos.
" Where there is matter, there is geometry. " - Johannes Kepler
— Dskyz , Trade with insight. Trade with anticipation.
HOG Trifecta HOG Trifecta
📊 Overview
HOG Trifecta is a real-time market monitor that blends three core elements of price action — trend, momentum, and volume positioning — into one clean directional output. Built for tactical traders, it cuts through the noise and highlights when the market is ready to move or stay neutral.
⚙️ How It Works
• Scores five key signals:
• EMA 9/21 crossover for directional trend
• RSI > 50 or < 50 for momentum bias
• MACD histogram for momentum expansion (WAE-style logic)
• Price relative to EMA 50 as a volume anchor
• ADX-powered trend strength confirmation
• Combines the signals into a score that determines a single bias:
BULLISH, NEUTRAL, or BEARISH
• Displays a floating, color-coded label above price for instant clarity
• Optional background shading tied to sentiment (toggleable)
🎯 Inputs
• Show Label — toggle the sentiment word on/off
• Show Background — toggle chart shading based on bias
✅ Benefits
• Monitors trend, momentum, and volume in real time
• Tells you when conditions align for directional setups
• Avoids false signals with NEUTRAL states
• Fully self-contained — no external dependencies
• Lightweight and fast for daily or intraday use
📈 Use Cases
• Entry confirmation in trend strategies
• Swing trade bias filter
• Anchor higher timeframe sentiment for lower timeframe entries
⚠️ Notes
• Score thresholds:
+2 or more → BULLISH
−2 or less → BEARISH
−1 to +1 → NEUTRAL
• Built using only standard Pine Script tools
RSX OBV & VWAP Weighted+This indicator combines RSX (Relative Strength eXtra), OBV (On-Balance Volume), and VWAP (Volume-Weighted Average Price) into a powerful momentum oscillator. It helps traders identify overbought/oversold conditions, accumulation/distribution zones, and trend strength with volume confirmation.
Key Features:
RSX Fast & Slow Lines: Smoothed momentum oscillator with adjustable lengths.
Volume Weighting: Option to weight price action using OBV or VWAP for better trend confirmation.
Custom Moving Average: Choose between SMA, EMA, WMA, or DEMA applied to RSX values.
Accumulation/Distribution Zones: Visual thresholds for extreme momentum conditions.
Volume Histogram: Displays OBV/VWAP impact on momentum (optional).
How to Use It?
Trend Identification:
Fast RSX > Slow RSX → Bullish momentum.
Fast RSX < Slow RSX → Bearish momentum.
Overbought/Oversold Levels:
Above 71 (Upper Level) → Overbought (potential reversal/sell signal).
Below 29 (Lower Level) → Oversold (potential reversal/buy signal).
Volume Confirmation:
OBV/VWAP Histogram shows if volume supports the trend.
Custom MA:
Use the moving average as a dynamic support/resistance level.
Best Settings:
Intraday Trading: Fast RSX (7), Slow RSX (14).
Swing Trading: Fast RSX (14), Slow RSX (21).
Volume Weighting: Enable for stronger trend confirmation.
Что такое индикатор RSX OBV & VWAP Weighted+?
Этот индикатор объединяет RSX (Relative Strength eXtra), OBV (On-Balance Volume) и VWAP (Volume-Weighted Average Price) в мощный осциллятор. Он помогает определять перекупленность/перепроданность, зоны накопления/распределения и силу тренда с учетом объема.
Основные функции:
RSX Fast & Slow Lines: Сглаженный осциллятор с настраиваемыми периодами.
Взвешивание по объему: Возможность учитывать OBV или VWAP для усиления сигналов.
Скользящая средняя: На выбор SMA, EMA, WMA или DEMA, применяемая к значениям RSX.
Зоны накопления/распределения: Визуальные уровни для экстремальных состояний.
Гистограмма объема: Показывает влияние OBV/VWAP на импульс (опционально).
Как использовать?
Определение тренда:
Fast RSX > Slow RSX → Бычий импульс.
Fast RSX < Slow RSX → Медвежий импульс.
Уровни перекупленности/перепроданности:
Выше 71 (верхний уровень) → Перекупленность (сигнал к продаже).
Ниже 29 (нижний уровень) → Перепроданность (сигнал к покупке).
Подтверждение объемом:
Гистограмма OBV/VWAP показывает, поддерживает ли объем движение.
Скользящая средняя:
Используйте как динамический уровень поддержки/сопротивления.
Рекомендуемые настройки:
Внутридневная торговля: Fast RSX (7), Slow RSX (14).
Свинг-трейдинг: Fast RSX (14), Slow RSX (21).
Взвешивание по объему: Включите для более сильных сигналов.
Adaptive RSI Oscillator📌 Adaptive RSI Oscillator
This indicator transforms the classic RSI into a fully adaptive, self-optimizing oscillator — normalized between -1 and 1, dynamically smoothed, and enhanced with divergence detection.
🔧 Key Features
Self-Optimizing RSI: Automatically selects the optimal RSI lookback length based on return stability (no hardcoded periods).
Dynamic Smoothing: Adapts to market conditions using a fraction of the optimized length.
Normalized Output : Converts traditional RSI to a consistent scale across all assets and timeframes.
Divergence Detection: Compares RSI behavior vs. price percentile ranks and scales the signal accordingly.
Gradient Visualization: Color-coded background and plot lines reflect the strength and direction of the signal with soft transitions.
Neutral Zone Adaptation: Dynamically widens or narrows the zone of inaction based on volatility, reducing noise.
🎯 Use Cases
Identify extreme momentum zones without relying on fixed 70/30 RSI levels
Detect divergences early with adaptive filtering
Highlight potential exhaustion or continuation
⚠️ Disclaimer: This indicator is for informational and educational purposes only. It does not constitute financial advice or a recommendation to buy or sell any security. Always conduct your own research and consult a licensed financial advisor before making investment decisions. Use at your own risk.
Oscilador de Sentimiento PROUser Manual: Indicator "Dinámicas de Mercado Pro" (DMP)
Author: @Profit_Quant
Created by: Gemini AI (2025)
User Manual (English):RSI Sentiment Oscillator PRO
1. General Concept
The "RSI Sentiment Oscillator PRO" is an advanced RSI-type indicator designed to measure the momentum and strength of market sentiment. Unlike a simple line oscillator, this indicator uses a dynamic-width band that visually expands and contracts with the intensity of the sentiment. Its most powerful feature is the automatic detection of four types of divergences, which are key signals for identifying potential trend reversals or continuations.
2. Main Components and Their Interpretation
a) The Oscillator Band (Dynamic Width)
What it is: The main representation of the indicator. It's not just a line, but a filled band.
Dynamic Width: This is its unique feature. The band widens as sentiment becomes more extreme (near overbought at 100 or oversold at 0) and narrows near the neutral zone (50). This gives you an immediate visual sense of the "pressure" or "strength" of the current sentiment.
Band Colors:
Green: The oscillator is in the oversold zone (below 30). Sentiment is extremely bearish, which could precede a bounce.
Red: The oscillator is in the overbought zone (above 70). Sentiment is extremely bullish, which could precede a correction.
Blue: The oscillator is in a neutral zone.
b) Divergence Detection (Key Signals)
Divergences occur when the price and the oscillator move in opposite directions. They are among the most powerful signals in technical analysis.
Regular Divergences (Trend Reversal Signals)
Regular Bullish Divergence (Green):
What to look for: The price makes a lower low, but the oscillator makes a higher low.
Meaning: The price is still falling, but the momentum of the fall is exhausting. It's a potential signal that the downtrend is ending and could reverse to the upside.
Label: Bull Div
Regular Bearish Divergence (Red):
What to look for: The price makes a higher high, but the oscillator makes a lower high.
Meaning: The price is still rising, but the momentum of the rise is weakening. It's a potential signal that the uptrend is losing steam and could reverse to the downside.
Label: Bear Div
Hidden Divergences (Trend Continuation Signals)
Hidden Bullish Divergence (Yellow):
What to look for: The price makes a higher low (a pullback in an uptrend), but the oscillator makes a lower low.
Meaning: The current pullback is a "buy the dip" opportunity to join the main uptrend. It indicates that the uptrend is likely to continue.
Label: Bull Hid
Hidden Bearish Divergence (Orange):
What to look for: The price makes a lower high (a rally in a downtrend), but the oscillator makes a higher high.
Meaning: The current rally is a "sell the rally" opportunity to join the main downtrend. It indicates that the downtrend is likely to continue.
Label: Bear Hid
3. Trading Strategies
Reversal Trading: Use Regular Divergences as your primary signal. A green Bull Div in the oversold zone is a powerful buy signal. A red Bear Div in the overbought zone is a powerful sell signal.
Continuation Trading: Use Hidden Divergences to enter in the direction of the trend. A yellow Bull Hid during a pullback in an uptrend confirms that it's a good time to buy.
Volume Filter: By default, the indicator requires the volume on the second pivot of a regular divergence to be lower. This increases the reliability of the signal, as it confirms the "loss of conviction" in the price move.
4. Final Disclaimer
Divergences are high-probability signals, not certainties. Always use this indicator in confluence with your own analysis of market structure, support, resistance, and strict risk management.
es.tradingview.com
Market Cipher Style Divergence DetectorMarket Cipher B Divergence Indicator — Description
This indicator is a custom implementation inspired by Market Cipher B, focusing on detecting bullish and bearish divergences between price action and a composite oscillator.
Key Features:
Composite Oscillator: Combines WaveTrend, RSI, and Stochastic RSI to mimic Market Cipher B’s momentum oscillator.
Pivot Detection: Automatically identifies swing highs and lows in price to locate potential reversal points.
Divergence Signals:
Regular Bullish Divergence: Price forms lower lows while oscillator forms higher lows — indicating potential bullish reversal.
Hidden Bullish Divergence: Price forms higher lows while oscillator forms lower lows — signaling continuation of an uptrend.
Regular Bearish Divergence: Price forms higher highs while oscillator forms lower highs — signaling potential bearish reversal.
Hidden Bearish Divergence: Price forms lower highs while oscillator forms higher highs — indicating continuation of a downtrend.
Price Chart Alerts: Divergence signals are plotted directly on the price chart for easy visual identification.
Customizable Pivot Lookbacks: User inputs allow tuning sensitivity for pivot detection and signal frequency.
Oscillator Plot: The underlying oscillator is plotted for reference, providing insight into momentum strength.
Intended Use:
This tool is designed to help traders spot early trend reversals and continuations by identifying divergences, which are powerful signals often missed by simple momentum indicators alone.
Note:
As with any technical indicator, divergences should be confirmed with additional tools or price action analysis to reduce false signals.
MACD-VWAP-BB Oscillator with DivergenceHow to Use the Indicator for Trading
Here’s how to interpret and use the indicator’s signals as a beginner:
Look for Buy Signals:
Green Triangle Up (“BUY”):
Appears when MACD, VWAP, and Bollinger Bands all signal a strong bullish trend.
The ribbon turns green, and the background fill is green.
Action: Consider buying the asset, as this is a strong signal the price may rise.
Example: If you see a green triangle on a 1-hour chart for BTC/USD, it suggests a potential upward move.
Green Circle (“Div Buy”):
Indicates a bullish divergence, where the price is dropping, but the indicator suggests the downtrend may weaken or reverse.
This is a weaker signal than the triangle but can be an early warning of a trend change.
Action: Watch closely or consider a smaller buy position, especially if followed by a triangle signal.
Look for Sell Signals:
Red Triangle Down (“SELL”):
Appears when all three indicators signal a strong bearish trend.
The ribbon turns red, and the background fill is red.
Action: Consider selling or shorting the asset, as the price may fall.
Example: A red triangle on a stock chart suggests it’s time to exit a long position or go short.
Red Circle (“Div Sell”):
Indicates a bearish divergence, where the price is rising, but the indicator suggests the uptrend may weaken or reverse.
Action: Be cautious with long positions or consider preparing to sell, especially if a triangle signal follows.
Check the Ribbon and Background:
Green Ribbon and Fill: Confirms a bullish trend. Feel more confident in buy signals.
Red Ribbon and Fill: Confirms a bearish trend. Feel more confident in sell signals.
The ribbon’s spread (how far apart the lines are) shows trend strength: wider = stronger trend, tighter = weaker trend.
Use Divergence Signals for Early Warnings:
Divergence signals (circles) often appear before triangle signals, hinting at potential reversals.
Example: A green circle (“Div Buy”) on a downtrending chart suggests the price might stop falling soon. Wait for a green triangle to confirm before acting.
Choose a Timeframe:
Short-term traders (day trading): Use shorter timeframes like 5-minute, 15-minute, or 1-hour charts.
Swing traders: Use 4-hour or daily charts for signals that last days or weeks.
Long-term investors: Use daily or weekly charts for bigger trends.
Example: On a 4-hour chart, a green triangle might signal a trend lasting hours to days.
Combine with Price Action:
Don’t rely on the indicator alone. Look at the candlesticks:
Are there support/resistance levels nearby?
Is the price near a key level (e.g., a moving average or trendline)?
Use the indicator to confirm what you see in the price chart.
Risk Management:
Set Stop-Losses: Place a stop-loss below recent lows for buys or above recent highs for sells to limit losses.
Position Sizing: Only risk a small portion of your account (e.g., 1-2%) per trade.
Wait for Confirmation: Triangle signals are stronger than divergence signals. Consider waiting for a triangle before entering a trade, especially as a beginner.
Example Trading Scenario
Let’s say you’re trading EUR/USD on a 1-hour chart:
You see a green circle (“Div Buy”) at the bottom of the indicator panel, and the price is near a support level (a price where it stopped falling before).
This suggests a potential reversal, but it’s not confirmed yet.
Action: Watch closely but don’t enter a trade yet.
A few candles later, a green triangle (“BUY”) appears, the ribbon turns green, and the background fill is green.
This confirms a strong bullish signal (MACD, VWAP, and Bollinger Bands all agree).
Action: Enter a buy trade, set a stop-loss below the recent low, and aim for a target near a resistance level or a 1:2 risk-reward ratio.
Later, you see a red circle (“Div Sell”) while the price is still rising.
This warns that the uptrend might weaken.
Action: Tighten your stop-loss or prepare to exit if a red triangle appears.
A red triangle (“SELL”) appears, with the ribbon and fill turning red.
Action: Exit the buy trade or consider a short position.
Tips for Beginners
Start with a Demo Account: Practice using the indicator on a TradingView paper trading account or a broker’s demo account to avoid risking real money.
Test on Different Assets: Try the indicator on stocks, forex, or crypto to see where it performs best.
Avoid Overtrading: Wait for clear triangle signals for stronger trades. Divergence signals (circles) are less reliable, so use them as warnings.
Learn Basic Chart Patterns: Combine the indicator with simple patterns like support/resistance or candlestick patterns (e.g., pin bars) for better results.
Adjust Settings Carefully: The default settings (e.g., MACD 12,26,9; ribbon 8,13,21,34) are balanced, but you can tweak them in the indicator settings to match your trading style.
Common Questions
What timeframe should I use?
It depends on your trading style. Day traders might use 5-minute or 1-hour charts; swing traders might use 4-hour or daily charts. Test different timeframes to find what suits you.
Are divergence signals reliable?
Divergence signals (green/red circles) are early warnings and less reliable than triangle signals. Use them to prepare for a trade but wait for triangles for confirmation.
Can I use this on any asset?
Yes! It works on stocks, forex, crypto, or commodities. Adjust settings like pivotLookback or smoothWavy for volatile assets like crypto.
What if I see conflicting signals?
If a green circle appears but no green triangle, the trend isn’t confirmed yet. Wait for alignment of all indicators (triangle signal) for stronger trades.
How to Customize (Optional)
If you want to tweak the indicator:
Open the indicator settings (double-click its name on the chart).
Adjust Pivot Lookback for Divergence (default 5) to make divergence signals more frequent (smaller number) or less frequent (larger number).
Change Signal Line Smoothing Period (default 9) for a smoother or wavier signal line.
Modify EMA Ribbon Periods (default 8,13,21,34) for a tighter or wider ribbon.
HOG QQE FlowHOG QQE Flow
📄 Overview
HOG QQE Flow is a clean, momentum-powered oscillator that visualizes directional strength and overbought/oversold behavior using a smoothed RSI foundation. With a dynamic gradient line, visual pulse dots, and clean zone fills, it delivers real-time insight into price pressure without unnecessary clutter.
⚙️ How It Works
• Smooths RSI using QQE-style logic and tracks slope
• Adds WAE-style volatility confirmation for powerful pulse filtering
• Highlights overbought/oversold zones with subtle color fills
• Pulse dots fire only when momentum aligns with volume bursts
• Line color shifts dynamically based on QQE position and intensity
🎯 Inputs
• RSI Length & Smoothing Factor
• Overbought / Oversold Thresholds
• WAE Volatility Length & Multiplier
• Volume Burst Filter (hardcoded 1.5× 20SMA)
✅ Benefits
• Quickly spot confirmed momentum ignition
• Clearly see when price is extended or fading
• Gradient line provides real-time slope feedback
• Visual-only — no clutter, no guesswork
📈 Use Cases
• Confirm entries on strong breakouts or reversals
• Filter out weak moves lacking volume or slope
• Pair with EMAs or trend overlays for complete flow setups
• Use as a high-probability signal trigger in trend continuation
⚠️ Notes
• This tool is a momentum visualizer — not a full strategy
• Works best on the daily timeframe or higher with trend context
• Pulse dots are rare by design — use them to time your moves
RSI + OBV Divergences (Ambas Confirmadas)* Indicator of overbought and oversold levels.
* Detection of bull and bear divergences through the RSI and OBV (On Balance Volume) indicators
Color StochDestaca cuando supera niveles establecidos, para usar debajo del panel como estocástico aparte.
5, 3, 5.
Muy sensible, para 5 min TF preferiblemente.
Highlights area when it exceeds established levels, to be used below panel, as a normal stochastic.
5, 3, 5.
Very sensitive, for 5 min TF preferably.
HOG QQE CandlesHOG QQE Candles
📊 Overview
A lightweight overlay that visually reflects RSI/QQE dynamics through color-coded candles. Designed for traders who want quick insight into momentum shifts — without opening a separate oscillator panel.
⚙️ How It Works
• Calculates smoothed RSI using QQE-style EMA
• Colors candles green for Overbought (OB), red for Oversold (OS)
• Colors candles blue on midline cross up (bullish), orange on cross down (bearish)
• OB/OS levels and midline signals are fully configurable
• Optional toggle for highlighting midline crosses
🎯 Inputs
• RSI Length
• QQE Smoothing
• Overbought / Oversold Levels
• Toggle: Show Midline Cross Highlights
• Toggle: Color OB/OS Candles
✅ Benefits
• No subwindow clutter — signals directly on price
• Clear OB/OS candles help identify exhaustion
• Midline color shifts reveal fresh momentum early
• Makes RSI/QQE readable at a glance
• Works great as a visual enhancer for trend or volume-based systems
📈 Use Cases
• Spot trend exhaustion during strong moves
• Confirm entry/exit with RSI midline cross
• Layer with trend overlays (e.g., EMAs, Supertrend)
• Ideal for minimal or clean chart setups
⚠️ Notes
• Candle color precedence: Midline cross > OB/OS
• Signal strength varies by timeframe and asset
• Best used as a visual companion, not standalone entry trigger
RSI of RSI Deviation (RoRD)RSI of RSI Deviation (RoRD) - Advanced Momentum Acceleration Analysis
What is RSI of RSI Deviation (RoRD)?
RSI of RSI Deviation (RoRD) is a insightful momentum indicator that transcends traditional oscillator analysis by measuring the acceleration of momentum through sophisticated mathematical layering. By calculating RSI on RSI itself (RSI²) and applying advanced statistical deviation analysis with T3 smoothing, RoRD reveals hidden market dynamics that single-layer indicators miss entirely.
This isn't just another RSI variant—it's a complete reimagining of how we measure and visualize momentum dynamics. Where traditional RSI shows momentum, RoRD shows momentum's rate of change . Where others show static overbought/oversold levels, RoRD reveals statistically significant deviations unique to each market's character.
Theoretical Foundation - The Mathematics of Momentum Acceleration
1. RSI² (RSI of RSI) - The Core Innovation
Traditional RSI measures price momentum. RoRD goes deeper:
Primary RSI (RSI₁) : Standard RSI calculation on price
Secondary RSI (RSI²) : RSI calculated on RSI₁ values
This creates a "momentum of momentum" indicator that leads price action
Mathematical Expression:
RSI₁ = 100 - (100 / (1 + RS₁))
RSI² = 100 - (100 / (1 + RS₂))
Where RS₂ = Average Gain of RSI₁ / Average Loss of RSI₁
2. T3 Smoothing - Lag-Free Response
The T3 Moving Average, developed by Tim Tillson, provides:
Superior smoothing with minimal lag
Adaptive response through volume factor (vFactor)
Noise reduction while preserving signal integrity
T3 Formula:
T3 = c1×e6 + c2×e5 + c3×e4 + c4×e3
Where e1...e6 are cascaded EMAs and c1...c4 are volume-factor-based coefficients
3. Statistical Z-Score Deviation
RoRD employs dual-layer Z-score normalization :
Initial Z-Score : (RSI² - SMA) / StDev
Final Z-Score : Z-score of the Z-score for refined extremity detection
This identifies statistically rare events relative to recent market behavior
4. Multi-Timeframe Confluence
Compares current timeframe Z-score with higher timeframe (HTF)
Provides directional confirmation across time horizons
Filters false signals through timeframe alignment
Why RoRD is Different & More Sophisticated
Beyond Traditional Indicators:
Acceleration vs. Velocity : While RSI measures momentum (velocity), RoRD measures momentum's rate of change (acceleration)
Adaptive Thresholds : Z-score analysis adapts to market conditions rather than using fixed 70/30 levels
Statistical Significance : Signals are based on mathematical rarity, not arbitrary levels
Leading Indicator : RSI² often turns before price, providing earlier signals
Reduced Whipsaws : T3 smoothing eliminates noise while maintaining responsiveness
Unique Signal Generation:
Quantum Orbs : Multi-layered visual signals for statistically extreme events
Divergence Detection : Automated identification of price/momentum divergences
Regime Backgrounds : Visual market state classification (Bullish/Bearish/Neutral)
Particle Effects : Dynamic visualization of momentum energy
Visual Design & Interpretation Guide
Color Coding System:
Yellow (#e1ff00) : Neutral/balanced momentum state
Red (#ff0000) : Overbought/extreme bullish acceleration
Green (#2fff00) : Oversold/extreme bearish acceleration
Orange : Z-score visualization
Blue : HTF Z-score comparison
Main Visual Elements:
RSI² Line with Glow Effect
Multi-layer glow creates depth and emphasis
Color dynamically shifts based on momentum state
Line thickness indicates signal strength
Quantum Signal Orbs
Green Orbs Below : Statistically rare oversold conditions
Red Orbs Above : Statistically rare overbought conditions
Multiple layers indicate signal strength
Only appear at Z-score extremes for high-conviction signals
Divergence Markers
Green Circles : Bullish divergence detected
Red Circles : Bearish divergence detected
Plotted at pivot points for precision
Background Regimes
Green Background : Bullish momentum regime
Grey Background : Bearish momentum regime
Blue Background : Neutral/transitioning regime
Particle Effects
Density indicates momentum energy
Color matches current RSI² state
Provides dynamic market "feel"
Dashboard Metrics - Deep Dive
RSI² ANALYSIS Section:
RSI² Value (0-100)
Current smoothed RSI of RSI reading
>70 : Strong bullish acceleration
<30 : Strong bearish acceleration
~50 : Neutral momentum state
RSI¹ Value
Traditional RSI for reference
Compare with RSI² for acceleration/deceleration insights
Z-Score Status
🔥 EXTREME HIGH : Z > threshold, statistically rare bullish
❄️ EXTREME LOW : Z < threshold, statistically rare bearish
📈 HIGH/📉 LOW : Elevated but not extreme
➡️ NEUTRAL : Normal statistical range
MOMENTUM Section:
Velocity Indicator
▲▲▲ : Strong positive acceleration
▼▼▼ : Strong negative acceleration
Shows rate of change in RSI²
Strength Bar
██████░░░░ : Visual power gauge
Filled bars indicate momentum strength
Based on deviation from center line
SIGNALS Section:
Divergence Status
🟢 BULLISH DIV : Price making lows, RSI² making highs
🔴 BEARISH DIV : Price making highs, RSI² making lows
⚪ NO DIVERGENCE : No divergence detected
HTF Comparison
🔥 HTF EXTREME : Higher timeframe confirms extremity
📊 HTF NORMAL : Higher timeframe is neutral
Critical for multi-timeframe confirmation
Trading Application & Strategy
Signal Hierarchy (Highest to Lowest Priority):
Quantum Orb + HTF Alignment + Divergence
Highest conviction reversal signal
Z-score extreme + timeframe confluence + divergence
Quantum Orb + HTF Alignment
Strong reversal signal
Wait for price confirmation
Divergence + Regime Change
Medium-term reversal signal
Monitor for orb confirmation
Threshold Crosses
Traditional overbought/oversold
Use as alert, not entry
Entry Strategies:
For Reversals:
Wait for Quantum Orb signal
Confirm with HTF Z-score direction
Enter on price structure break
Stop beyond recent extreme
For Continuations:
Trade with regime background color
Use RSI² pullbacks to center line
Avoid signals against HTF trend
For Scalping:
Focus on Z-score extremes
Quick entries on orb signals
Exit at center line cross
Risk Management:
Reduce position size when signals conflict with HTF
Avoid trades during regime transitions (blue background)
Tighten stops after divergence completion
Scale out at statistical mean reversion
Development & Uniqueness
RoRD represents months of research into momentum dynamics and statistical analysis. Unlike indicators that simply combine existing tools, RoRD introduces several genuine innovations :
True RSI² Implementation : Not a smoothed RSI, but actual RSI calculated on RSI values
Dual Z-Score Normalization : Unique approach to finding statistical extremes
T3 Integration : First RSI² implementation with T3 smoothing for optimal lag reduction
Quantum Orb Visualization : Revolutionary signal display method
Dynamic Regime Detection : Automatic market state classification
Statistical Adaptability : Thresholds adapt to market volatility
This indicator was built from first principles, with each component carefully selected for its mathematical properties and practical trading utility. The result is a professional-grade tool that provides insights unavailable through traditional momentum analysis.
Best Practices & Tips
Start with default settings - they're optimized for most markets
Always check HTF alignment before taking signals
Use divergences as early warning , orbs as confirmation
Respect regime backgrounds - trade with them, not against
Combine with price action - RoRD shows when, price shows where
Adjust Z-score thresholds based on market volatility
Monitor dashboard metrics for complete market context
Conclusion
RoRD isn't just another indicator—it's a complete momentum analysis system that reveals market dynamics invisible to traditional tools. By combining momentum acceleration, statistical analysis, and multi-timeframe confluence with intuitive visualization, RoRD provides traders with a sophisticated edge in any market condition.
Whether you're scalping rapid reversals or positioning for major trend changes, RoRD's unique approach to momentum analysis will transform how you see and trade market dynamics.
See momentum's future. Trade with statistical edge.
Trade with insight. Trade with anticipation.
— Dskyz, for DAFE Trading Systems
[Smith] VWAP Deviation + VWAP Deviation +
Short Description:
Advanced VWAP indicator with deviation bands, smart signal filtering, and session-based performance tracking. Features log-space scaling, RSI confirmation, volume filters, and market regime detection.
Full Description:
The VWAP Deviation + is a comprehensive trading indicator that combines Volume Weighted Average Price (VWAP) analysis with advanced signal filtering to identify high-probability trade opportunities. This indicator goes beyond basic VWAP by incorporating multiple confirmation layers and intelligent market analysis.
🎯 Key Features
Core VWAP Analysis:
- Custom volume-weighted mean calculation with deviation bands (2σ and 3σ)
- Optional log-space scaling for proportional price movements
- Real-time VWAP line with customizable visibility
Smart Signal Detection:
- RSI confirmation for all trade signals
- Volume filter requiring above-average trading activity
- Market regime detection (trending vs ranging markets)
- Optional RSI divergence analysis
Advanced Filtering:
- Multi-condition signal validation
- Session-based performance tracking (Asian, London, NY)
- Real-time win rate calculation
- Strong vs regular signal classification
Visual Features:
- Clean, professional interface with customizable colors
- Optional signal shapes and annotations
- Performance statistics table
- Filled deviation bands for easy visualization
📊 How It Works
The indicator identifies trade opportunities when:
1. Price touches VWAP deviation bands (2σ or 3σ)
2. RSI confirms oversold/overbought conditions
3. Volume exceeds the specified threshold
4. Market regime conditions are favorable
Signal Types:
- LONG : Price at lower bands + RSI oversold + volume confirmation
- SHORT : Price at upper bands + RSI overbought + volume confirmation
- STRONG : Same conditions but at 3σ bands for higher conviction trades
⚙️ Customization Options
Core Settings:
- VWAP length and source selection
- Adjustable deviation multipliers
- Log-space scaling toggle
Signal Filters:
- RSI length and threshold levels
- Volume filter with customizable multiplier
- Market type filtering options
Advanced Features:
- Session statistics tracking
- RSI divergence detection
- Market regime analysis
Visual Controls:
- Show/hide individual components
- Custom color schemes
- Signal display toggles
🔔 Alert System
Built-in alerts for:
- Long and short trade opportunities
- Strong signal confirmations
- RSI divergence signals
💡 Best Practices
- Use higher timeframes (15m+) for more reliable signals
- Combine with additional confirmation indicators
- Pay attention to session statistics for timing optimization
- Monitor market regime indicators for context
This indicator is suitable for day traders, swing traders, and anyone looking to improve their VWAP-based trading strategies with advanced filtering and market analysis.
Momentum ScopeOverview
Momentum Scope is a Pine Script™ v6 study that renders a –1 to +1 momentum heatmap across up to 32 lookback periods in its own pane. Using an Augmented Relative Momentum Index (ARMI) and color shading, it highlights where momentum strengthens, weakens, or stays flat over time—across any asset and timeframe.
Key Features
Full-Spectrum Momentum Map : Computes ARMI for 1–32 lookbacks, indexed from –1 (strong bearish) to +1 (strong bullish).
Flexible Scale Gradation : Choose Linear or Exponential spacing, with adjustable expansion ratio and maximum depth.
Trending Bias Control : Apply a contrast-style curve transform to emphasize trending vs. mean-reverting behavior.
Duotone & Tritone Palettes : Select between two vivid color styles, with user-definable hues for bearish, bullish, and neutral momentum.
Compact, Overlay-Free Display : Renders solely in its own pane—keeping your price chart clean.
Inputs & Customization
Scale Gradation : Linear or Exponential spacing of intervals
Scale Expansion : Ratio governing step-size between successive lookbacks
Scale Maximum : Maximum lookback period (and highest interval)
Trending Bias : Curve-transform bias to tilt the –1 … +1 grid
Color Style : Duotone or Tritone rendering modes
Reducing / Increasing / Neutral Colors : Pick your own hues for bearish, bullish, and flat zones
How to Use
Add to Chart : Apply “Momentum Scope” as a separate indicator.
Adjust Scale : For exponential spacing, switch your indicator Y-axis to Logarithmic .
Set Bias & Colors : Tweak Trending Bias and choose a palette that stands out on your layout.
Interpret the Heatmap :
Red tones = weakening/bearish momentum
Green tones = strengthening/bullish momentum
Neutral hues = indecision or flat momentum
Copyright © 2025 MVPMC. Licensed under MIT. For full license see opensource.org
Bắt Đáy Kỹ Thuật_Only_Buy [VNFlow]Bắt Đáy Kỹ Thuật_Only_Buy
Email: hasobin@outlook.com
Phone: 0373885338
DAYTRADE GPT StrategyThis is the DAYTRADE GPT Strategy — built for disciplined intraday traders aiming to grow small capital into serious gains through calculated, high-probability trades.
🔍 Strategy Overview:
- Combines Bollinger Bands, RSI, Stochastic RSI, and Volume Spike detection for precise entries.
- Auto-detects optimal LONG and SHORT positions.
- Built-in Stop Loss and Take Profit using a configurable Risk/Reward ratio (default 1:2).
- Includes dynamic trailing stop logic to scale and protect profits once in the green.
🎯 Designed for:
- Scalping and short-term trades on crypto or highly liquid assets.
- Traders who scale positions as profits increase.
- High-frequency setups backed by volume confirmation.
💡 How It Works:
- Long when price is outside lower BB, RSI < 40, Stoch RSI oversold, and volume spike detected.
- Short when price is outside upper BB, RSI > 60, Stoch RSI overbought, and volume spike detected.
- Uses trailing stop once profitable to lock in gains as price climbs.
- Fully customizable: risk ratio, trailing %, and indicator sensitivity.
📈 Goal: Turn consistent setups into strategic wins. Ideal for those growing accounts from $100 toward $100K by December through disciplined trade management.
Let the algorithm handle entry/exit while you focus on execution. Adjust settings for your market.
#Crypto #DayTrading #Scalping #PineScript #Strategy
MA + ATR + U/D + RS + Total (Two Rows)An indicator that displays distances from moving averages plus ATR
Minervini-style RS (Relative Strength) + summary of the 8 entry conditions
Market Sell-Off GaugeOVERVIEW
The Market Sell‑Off Gauge identifies high‑conviction, risk‑off entry opportunities by detecting broad market sell‑off behavior and rising stablecoin dominance, then confirming risk‑off sentiment via NDX weakness, VIX spikes, and elevated volume. It uses fuzzy logic and sigmoid scaling to convert raw signals into a smooth, bounded metric.
FEATURES
Sell‑Off Detection - calculates percentage drops in the primary asset over a user‑defined lookback.
Stablecoin Dominance Surge - tracks combined USDT/USDC dominance rises as a proxy for on‑chain “flight to safety.”
Macro Confirmation
NDX Weakness (NASDAQ‑100)
VIX Spikes (CBOE Volatility Index)
Elevated Volume on declining bars
Fuzzy Logic & Scaling - component values feed into a fuzzy‑logic membership scor and are passed through a sigmoid compressor (–1 to +1). Weighted aggregation derives the final result of the gauge (or metric).
VISUALISATION
Continuous line plot - Smoothed metric (–1 to +1), colored cold‑to‑warm.
Entry circles - Highlighted when all conditions (fuzzy or crisp) are met after the time offset.
Time‑Offset marker - Vertical line/label showing the user‑specified “start” bar.
Component table - Displays real‑time % changes & volume multiples in the lower right of the indicator.
USAGE
Asset drop % - The threshold percent decline to register a sell‑off.
Stables rise % - The threshold percent increase in stablecoin dominance to qualify as a “flight to safety.”
NDX drop % - The threshold percent decline in the NASDAQ‑100 for macro confirmation.
VIX rise % - The threshold percent increase in VIX. Contributes to risk‑off validation.
Volume Multiplier - Defines how many times above SMA volume must rise to confirm conviction.
Lookback Period - Controls the number of bars over which % changes are measured.
Time Offset - Point in time beyond which bars to “fade” historical signals, enables focus on recent data only.
Fuzzy Logic Settings - Enables fuzzy scoring and set membership threshold & sensitivity.
Weights - allows for adjusting the relative importance of each component (Asset, Stables, NDX, VIX, Volume).
Sigmoid Steepness (k) - Controls curve steepness for compression (0.1 = very flat → 5.0 = very sharp S‑curve).
Chart & settings
Best applied on 4H or Daily BTCUSD (or similar) charts to capture meaningful sell‑off events.
Combine with broader trend filters (e.g., moving averages) for trend‑aligned entries.
Adjust Sigmoid Steepness and Membership Sensitivity to fine‑tune signal crispness vs. smoothness. Refer to tooltips.
Disclaimer
This indicator is intended for educational purposes only. Always perform your own due diligence before making financial decisions.