Trend Flow Trail [AlgoAlpha]OVERVIEW
This script overlays a custom hybrid indicator called the Money Flow Trail which combines a volatility-based trend-following trail with a volume-weighted momentum oscillator. It’s built around two core components: the AlphaTrail—a dynamic band system influenced by Hull MA and volatility—and a smoothed Money Flow Index (MFI) that provides insights into buying or selling pressure. Together, these tools are used to color bars, generate potential reversal markers, and assist traders in identifying trend continuation or exhaustion phases in any market or timeframe.
CONCEPTS
The AlphaTrail calculates a volatility-adjusted channel around price using the Hull Moving Average as the base and an EMA of range as the spread. It adaptively shifts based on price interaction to capture trend reversals while avoiding whipsaws. The direction (bullish or bearish) determines both the band being tracked and how the trail locks in. The Money Flow Index (MFI) is derived from hlc3 and volume, measuring buying vs selling pressure, and is further smoothed with a short Hull MA to reduce noise while preserving structure. These two systems work in tandem: AlphaTrail governs directional context, while MFI refines the timing.
FEATURES
Dynamic AlphaTrail line with regime switching logic that controls directional bias and bar coloring.
Smoothed MFI with gradient coloring to visually communicate pressure and exhaustion levels.
Overbought/oversold thresholds (80/20), mid-level (50), and custom extreme zones (90/10) for deeper signal granularity.
Built-in take-profit signal logic: crossover of MFI into overbought with bullish AlphaTrail, or into oversold with bearish AlphaTrail.
Visual fills between price and AlphaTrail for clearer confirmation during trend phases.
Alerts for regime shifts, MFI crossovers, trail interactions, and bar color regime changes.
USAGE
Add the indicator to any chart. Use the AlphaTrail plot to define trend context: bullish (trailing below price) or bearish (trailing above). MFI values give supporting confirmation—favor long setups when MFI is rising and above 50 in a bullish regime, and shorts when MFI is falling and below 50 in a bearish regime. The colored fills help visually track strength; sharp changes in MFI crossing 80/20 or 90/10 zones often precede pullbacks or reversals. Use the plotted circles as optional take-profit signals when MFI and trend are extended. Adjust AlphaTrail length/multiplier and MFI smoothing to better match the asset’s volatility profile.
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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.
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.
Rifle LONG OSVuka's Rifle Shooter Indicator
TODO fill out description of input settings
See to complement this rifle indicator.
Rifle SHORT OSVuka's Rifle Shooter Indicator
TODO fill out description of input settings
See to complement this rifle indicator.
BK AK-SILENCER (P8N)🧩 BK AK-SILENCER (P8N)
CVD Bollinger Band Engine | Dynamic Flash | Structure Zones | Divergence Panel
🧠 Introduction
This is the second half of the AK-SILENCER system: BK AK-SILENCER (P8N) — a standalone CVD panel that amplifies stealth detection with volatility-based bands, dynamic flash alerts, and smart structural analysis.
This panel works on its own, but was engineered to pair perfectly with BK AK-SILENCER overlay.
🔎 What “P8N” Means
P8N = Precision. 8 Dimensions. Noise-filtered.
8 represents balance, cycles, infinite feedback, and control — all concepts deeply tied to Gann, geometry, and institutional rhythm.
This engine reads volume through volatility — not price. It detects shifts where real moves begin — quietly.
⚙️ Core Weapon Systems
✅ CVD Line + MA + Fill Logic
See the cumulative volume delta with trend tracking and real-time color fills.
✅ Bollinger Bands
Standard deviation bands built around the signal line — not price. Shows real overbought/oversold based on volume movement.
✅ Dynamic Flash Backgrounds
When CVD pressure reaches extremes, the background flashes — silently warning of potential pivots or continuation.
✅ Divergence Detection
Automatic structural divergence plotted between price and CVD — with configurable pivot logic.
✅ Structure Lines (optional)
Visual anchors: session opens, POC, deviation bands, value zones, and structural support/resistance pivots.
🎯 How to Use It
Flash + CVD breaches upper band = momentum continuation
Flash + divergence = prepare for mean-reversion
Divergence + POC/value area = sniper entry
Combine with BK AK-SILENCER overlay bar colors = full market read
💡 Perfect For
Momentum traders who wait for pressure confirmation
Reversal traders looking for structure + volume misalignment
Pattern and time traders syncing Gann, Elliott, and Fib setups
Swing traders seeking multi-layered confirmation
🔧 Customize It. Share It. Grow It.
No tool is perfect out of the box — it must fit your flow.
🛠️ Test your BB deviation values. Adjust dynamic flash settings. Tune pivot logic.
💬 Then share your favorite combos in the comments.
What worked for you might unlock clarity for someone else.
If this helped you — return the favor. Drop your blueprint.
🔗 Works Best With
➡️ BK AK-SILENCER
Together, they detect what price alone cannot. One sees aggression. One sees intent.
Overlay + Panel = Total Edge.
🙏 Pay It Forward
This was built through the lessons of a mentor who gave selflessly — and the blessing of Gd who gave structure to the chaos.
If this gave you insight:
🔹 Teach someone
🔹 Post your best settings
🔹 Share what you've learned
🔹 Help the next person trade with discipline
We’re not here just to win. We’re here to evolve — and bring others with us.
To my mentor — A.K. — this is yours.
To Gd — the source of wisdom — this is for Your glory.
—
Silent. Steady. Strategic.
🎯 BK AK-SILENCER (P8N) — See what others miss.
Gd bless your precision, purpose, and patience. 🙏
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.
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.
MTF RSI MA System + Adaptive BandsMTF RSI MA System + Adaptive Bands
Overview
MTF RSI MA System + Adaptive Bands is a highly customizable Pine Script indicator for traders seeking a versatile tool for multi-timeframe (MTF) analysis. Unlike traditional RSI, it focuses on the Moving Average of RSI (RSI MA), delivering smoother and more flexible trading signals. The main screenshot displays the indicator in two panels to showcase its diverse capabilities.
Important: Timeframes do not adjust automatically – users must manually set them to match the chart’s timeframe.
Features
Core Component: Built around RSI MA, not raw RSI, for smoother trend signals.
Multi-Timeframe: Analyze RSI MA across three customizable timeframes (default: 4H, 8H, 12H).
Adaptive Bands: Three band calculation methods (Fixed, Percent, StdDev) for dynamic signals.
Flexible Signals: Generated via RSI MA crossovers, band interactions, or directional alignment across timeframes.
Background Coloring: Highlights when RSI MAs across timeframes move in the same direction, aiding trend confirmation.
Screenshot Panels Configuration
Upper Panel: Shows RSI, RSI MA, and fixed bands for reversal strategies (RSI crossing bands).
Lower Panel: Displays three RSI MAs (Alligator-style) for trend-following, with background coloring for directional alignment.
Band Calculation Methods
The indicator offers three ways to calculate bands around RSI MA, each with unique characteristics:
Fixed Bands
Set at a fixed point value (default: 10) above and below RSI MA.
Example: If RSI MA = 50, band value = 10 → upper band = 60, lower = 40.
Use Case: Best for stable markets or fixed-range preferences.
Tip: Adjust the band value to widen or narrow the range based on asset volatility.
Percent Bands
Calculated as a percentage of RSI MA (default: 10%).
Example: If RSI MA = 50, band value = 10% → upper band = 55, lower = 45.
Use Case: Ideal for assets with varying volatility, as bands scale with RSI MA.
Tip: Experiment with percentage values to match typical price swings.
Standard Deviation Bands (StdDev)
Based on RSI’s standard deviation over the MA period, multiplied by a user-defined factor (default: 10).
Example: If RSI MA = 50, standard deviation = 5, factor = 2 → upper band = 60, lower = 40.
Important: The default value (10) may produce wide bands. Reduce to 1–2 for tighter, practical bands.
Use Case: Best for dynamic markets with fluctuating volatility.
Configuration Options
RSI Length: Set RSI calculation period (default: 20).
MA Length: Set RSI MA period (default: 20).
MA Type: Choose SMA or EMA for RSI MA (default: EMA).
Timeframes: Configure three timeframes (default: 4H, 8H, 12H) for MTF analysis.
Overbought/Oversold Levels: Optionally display fixed levels (default: 70/30).
Background Coloring: Enable/disable for each timeframe to highlight directional alignment.
How to Use
Add Indicator: Load it onto your TradingView chart.
Setup:
Reversals: Configure like the upper panel (RSI, RSI MA, bands) and watch for RSI crossing bands.
Trends: Configure like the lower panel (three RSI MAs) and look for fastest MA crossovers and background coloring.
Adjust Timeframes: Manually set tf1, tf2, tf3 (e.g., 1H, 2H, 4H on a 1H chart) to suit your strategy.
Adjust Bands: Choose band type (Fixed, Percent, StdDev) and value. For StdDev, reduce to 1–2 for tighter bands.
Experiment: Test settings to match your trading style, whether scalping, swing trading, or long-term.
Notes
Timeframes: Always match tf1, tf2, tf3 to your chart’s needs, as they don’t auto-adjust.
StdDev Bands: Lower the default value (10) to avoid overly wide bands.
Versatility: Works across markets (stocks, forex, crypto).
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
Nikko MACD + SMA 200 MEME coin strategyThis is an old strategy originally developed by ChartArt in 2015, based on MACD + SMA 200 and written in Pine Script version 2.
I’ve upgraded it to version 6 and significantly improved its performance.
The strategy is actually highly profitable under certain conditions, especially when applied to meme coins. You don’t need to modify anything—just test it directly on volatile assets.
It outperforms the typical “Buy and Hold” approach on many high-volatility coins, particularly memes.
Key Notes:
It’s simple but effective when properly configured.
No need for pyramiding: just sell 100% when bearish and buy 100% when bullish—this tends to yield better results.
The 1-hour timeframe works well. Very short intervals like 2 minutes perform poorly, and overly long ones aren't effective either. Test and adjust.
The equity drawdown is relatively low, so it can be suitable for leveraged trading—though leverage is always risky, and caution is advised.
I believe this is one of the most effective free strategies with open-source code currently available on TradingView.
Example:
SEED_DONKEYDAN_MARKET_CAP:FLOKI on a 30-minute timeframe delivers +683% profit
Starting with $10,000, it ends with over $68,000
It also performs well on CRYPTOCAP:PEPE and SEED_DONKEYDAN_MARKET_CAP:BONK , but does not yield strong results with $BTC.
Below is the README:
--------------------------------------------------------------------------------------
// Original by ChartArt
// updated from v2 to v6 and improved some stuff
strategy("Nikko MACD + SMA 200 Strategy (by ChartArt)", shorttitle="Nikko - MACD + SMA 200 Strategy", overlay=true, initial_capital=10000,default_qty_value = 10, pyramiding = 10, default_qty_type = strategy.percent_of_equity, commission_value = 0.06 )
// ChartArt's MACD + SMA 200 Strategy
//
// Version 2.0
// Idea by ChartArt on November 30, 2015.
// updated June 2025 by CryptoNikkoid
//
// Here is a combination of the MACD with the
// slow moving average SMA 200 as a strategy.
//
// This strategy goes long if the MACD histogram
// and the MACD momentum are both above zero and
// the fast MACD moving average is above the
// slow MACD moving average. As additional long filter
// the recent price has to be above the SMA 200.
// If the inverse logic is true, the strategy
// goes short. For the worst case there is a
// max intraday equity loss of 50% filter.
// -------------------
// changed the strategy to close all orders when turning bearish, also fixed some design glitches
// this strategy is working better on short timeframe (5min for example)
Custom Stochastic with Entry Dots & BackgroundCustom Stochastic with Entry Dots & Background
จะแสดงค่าเมื่อ STOCH OVB OVS ให้แห็นง่ายและชัดเจนขึ้น
Trading in The Day 1h Ver1 [VNFlow]Trading in the Day 1h Ver1 :
This TradingView script combines multiple professional tools into one for short-term trend-following and intraday trade planning. It includes:
Auto-anchored AVWAPs for 1-day, 2-day, Week-to-Date (WTD), and Month-to-Date (MTD) levels.
A 5-day Moving Average (EMA or SMA) automatically adjusted based on timeframe and exchange hours.
Optional Pivot Points (support/resistance) with classic floor trader formulas.
High/Low of current and previous day as potential S/R zones.
Buy/Sell signal labels based on MA and AVWAP alignment (shows only the first of consecutive signals).
Clean visuals with toggle options to customize which elements are shown.
Perfect for traders using multi-timeframe confirmation, anchored VWAP, and classic support/resistance techniques.
Market Matrix ViewThis technical indicator is designed to provide traders with a quick and integrated view of market dynamics by combining several popular indicators into a single tool. It's not a magic bullet, but a practical aid for analyzing buying/selling pressure, trends, volume, and divergences, saving you time in the decision-making process. Built for flexibility, the indicator adapts to various trading styles (scalping, swing, or long-term) and offers customizable settings to suit your needs.
🟡 Multi-Timeframe Trends
➤ This section displays the trend direction (bullish, bearish, or neutral) across 15-minute, 1-hour, 4-hour, and Daily timeframes, providing multi-timeframe market context. Timeframes lower than the one currently selected will show "N/A."
➤It utilizes fast and slow Exponential Moving Averages (EMAs) for each timeframe:
15m: Fast EMA 42, Slow EMA 170
1h: Fast EMA 40, Slow EMA 100
4h: Fast EMA 36, Slow EMA 107
Daily: Fast EMA 20, Slow EMA 60
🟡 Smart Flow & RVOL
➤ This section displays "Buying Pressure" or "Selling Pressure" signals based on indicator confluence, alongside volume activity ("High Activity," "Normal Activity," or "Low Activity").
➤ Smart Flow combines Chaikin Money Flow (CMF) and Money Flow Index (MFI) to detect buying/selling pressure. CMF measures money flow based on price position within the high-low range, while MFI analyzes money flow considering typical price and volume. A signal is generated only when both indicators simultaneously increase/decrease beyond an adjustable threshold ("Buy/Sell Sensitivity") and volume exceeds a Simple Moving Average (SMA) scaled by the "Volume Multiplier."
➤ RVOL (Relative Volume) calculates relative volume separately for bullish and bearish candles, comparing recent volume (fast SMA) with a reference volume (slow SMA). Thresholds are adjusted based on the selected mode.
🟡 ADX & RSI
This section displays trend strength ("Strong," "Moderate," or "Weak"), its direction ("Bullish" or "Bearish"), and the RSI momentum status ("Overbought," "Oversold," "Buy/Sell Momentum," or "Neutral").
➤ ADX (Average Directional Index) measures trend strength (above 40 = "Strong," 20–40 = "Moderate," below 20 = "Weak"). Direction is determined by comparing +DI (upward movement) with -DI (downward movement). Additionally, an arrow indicates whether the trend's strength is decreasing or increasing.
➤RSI (Relative Strength Index) evaluates price momentum. Extreme levels (above 80/85 = "Overbought," below 15/20 = "Oversold") and intermediate zones (47–53 = "Neutral," above 53 = "Buy Momentum," below 47 = "Sell Momentum") are adjusted based on the selected mode.
🟡 When these signals are active for a potential trade setup, the table's background lights up green or red, respectively.
🟡 Volume Spikes
➤This feature highlights bars with significantly higher volume than the recent average, coloring them yellow on the chart to draw attention to intense market activity.
➤It uses the Z-Score method to detect volume anomalies. Current volume is compared to a 10-bar Simple Moving Average (SMA) and the standard deviation of volume over the same period. If the Z-Score exceeds a certain threshold, the bar is marked as a volume spike.
🟡 Divergences (Volume Divergence Detection)
➤ This feature marks divergences between price and technical indicators on the chart, using diamond-shaped labels (green for bullish divergences, red for bearish divergences) to signal potential trend reversals.
➤ It compares price deviations from a Simple Moving Average (SMA) with deviations of three indicators: Chaikin Money Flow (CMF), Money Flow Index (MFI), and On-Balance Volume (OBV). A bullish divergence occurs when price falls below its average, but CMF, MFI, and OBV rise above their averages, indicating hidden accumulation. A bearish divergence occurs when price rises above its average, but CMF, MFI, and OBV fall, suggesting distribution. The length of the moving averages is adjustable (default 13/10/5 bars for Scalping/Balanced/Swing), and detection thresholds are scaled by "Divergence Sensitivity" (default 1.0).
🟡 Adaptive Stop-Loss (ATR)
➤Draws dynamic stop-loss lines (red, dashed) on the chart for buy or sell signals, helping traders manage risk.Uses the Average True Range (ATR) to calculate stop-loss levels, set at low/high ± ATR × multiplier
🟡 Alerts for trend direction changes in the Info Panel:
➤ Triggers notifications when the trend shifts to Bullish (when +DI crosses above -DI) or Bearish (when +DI crosses below -DI), helping you stay informed about key market shifts.
How to use: Set alerts in Trading View for “Trend Changed to Bullish” or “Trend Changed to Bearish” with “Once Per Bar Close” for reliable signals.
🟡 Settings (Inputs)
➤ The indicator offers customizable settings to fit your trading style, but it's already optimized for Scalping (1m–15m), Balanced (16m–3h59m), and Swing (4h–Daily) modes, which automatically adjust based on the selected timeframe. The visible inputs allow you to adjust the following parameters:
Show Info Panel: Enables/disables the information panel (default: enabled).
Show Volume Spikes: Turns on/off coloring for volume spike bars (default: enabled).
Spike Sensitivity: Controls the Z-Score threshold for detecting volume spikes (default: 2.0; lower values increase signal frequency).
Show Divergence: Enables/disables the display of divergence labels (default: enabled).
Divergence Sensitivity: Adjusts the thresholds for divergence detection (default: 1.0; higher values reduce sensitivity).
Divergence Lookback Length: Sets the length of the moving averages used for divergences (default: 5, automatically adjusted to 13/10/5 for Scalping/Balanced/Swing).
RVOL Reference Period: Defines the reference period for relative volume (default: 20, automatically adjusted to 7/15/20).
RSI Length: Sets the RSI length (default: 14, automatically adjusted to 5/10/14).
Buy Sensitivity: Controls the increase threshold for Buying Pressure signals (default: 0.007; higher values reduce frequency).
Sell Sensitivity: Controls the decrease threshold for Selling Pressure signals (default: 0.007; higher values reduce frequency).
Volume Multiplier (B/S Pressure): Adjusts the volume threshold for Smart Flow signals (default: 0.6; higher values require greater volume).
🟡 This indicator is created to simplify market analysis, but I am not a professional in Pine Script or technical indicators. This indicator is not a standalone solution. For optimal results, it must be integrated into a well-defined trading strategy that includes risk management and other confirmations.
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
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.
Swing Counter – Alleen eerste label per reeksCounts upward en downward swings. Number 7 or 8 is a warning.
RSI Distance & BB Width OnlyThis indicator shows the Relative Strength Index Distance Bollinger Bands Width
Donchian + EMA + T3 + Supertrend (RR 1:2)Trend Catcher Build with Donchain channels and EMA cross, also confirmation with Supertrend
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
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.
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.