Alpha Signal Engine Pro [MarkitTick]🎁 Our gift to the TradingView community.
This indicator was previously available as a paid, invite-only tool. Today, it is permanently and unconditionally free — open to every trader on TradingView without restriction, without a subscription, and without an expiration date.
No catch. No trial period. Ours to you, forever.
💡A comprehensive trend-following and market-state detection framework . It operates by generating a dynamic, volatility-adjusted trailing band that reacts not just to price movements, but to the shifting structural regimes of the asset. By analyzing True Range, historical price percentiles, and momentum simultaneously, this indicator filters out market noise and isolates high-probability directional shifts. It inherently guards against false signals during flat or consolidating markets through a multi-layered filtering matrix, ensuring that traders are presented with actionable data only when strict momentum and structural conditions are met.
● ✨ Originality and Utility
Most trend-following systems rely on static multipliers or fixed lookback periods, rendering them susceptible to sudden market regime changes. The primary utility of this engine lies in its adaptive nature. It introduces a Volatility Fingerprint module that constantly scans the environment, classifying the market into distinct regimes: Alpha, Beta, Gamma, and Delta. Based on this continuous assessment, the indicator autonomously scales its sensitivity, smoothing depth, and filter thresholds. This means the engine tightens its criteria during erratic, low-liquidity chop and expands its bands during high-volatility expansions, providing an organic, self-adjusting framework that eliminates the need for constant manual parameter tuning.
● 🔬 Methodology and Concepts
• Dynamic Trailing Core
At the heart of the engine is a composite distance formula that calculates a dynamic half-band. Instead of relying solely on a basic Average True Range (ATR) multiplier, it combines three elements: an absolute band multiplier, an ATR weight normalized against the closing price, and a raw price move weight. This composite value is then smoothed using an Exponential Moving Average (EMA) alpha factor. The resulting smoothed band is applied to the median price to establish upper and lower boundaries, forming the basis of the trendline.
• Volatility Fingerprinting
The script normalizes the ATR as a percentage of the closing price and ranks it against a historical lookback window using non-parametric percentile thresholds. By splitting the historical distribution into quartiles (25th, 50th, and 75th percentiles), the asset's current volatility is placed into a specific bucket. The core mathematical weights and matrix thresholds are then dynamically multiplied by regime-specific scalars.
• Alpha Filtering Matrix
To prevent whipsaws, the script employs a five-layer matrix that acts as a logical gatekeeper before any signal is validated:
- Trendline Stall: Measures the absolute change in the trendline against a fraction of the ATR.
- Slope Regression: Computes the linear regression slope of the trendline over a rolling window and normalizes it.
- Volume Gate: Compares current volume to a dynamic simple moving average of volume.
- Range Gate: Checks if the current bar's High-Low range exceeds a specific historical percentile.
- Basis Point (BPS) Delta: Ensures the trendline shift meets a minimum percentage threshold.
• Breakout Override
If the market suddenly explodes with extreme momentum, a Breakout Override function bypasses the filtering matrix. If the absolute change in price heavily exceeds a set multiple of the ATR, the system immediately forces engagement to capture the breakout.
● 🎨 Visual Guide
• Dynamic Trendline
A solid line plots the active trailing stop and trend direction. By default, it is colored Cyan for a Bullish trend and Magenta for a Bearish trend. This line steps up or down along with price action, providing a clear visual anchor for the current structural bias.
• Dynamic Bar Coloring
The chart's candlesticks are dynamically colored using a visual gradient. The script measures the normalized distance of the closing price from the trendline. When price is near the trendline, candles assume a neutral slate-blue tone. As momentum carries price further away, the color interpolates into bright Cyan (Bullish) or Magenta (Bearish), immediately illustrating trend strength.
• Cloud Fill
A semi-transparent cloud is drawn between the primary trendline and a smoothed moving average of the typical price. This creates a visual "value zone" on the chart, helping users quickly identify the spatial relationship between the current trend anchor and the smoothed price core.
• HUD Dashboard
A comprehensive heads-up display is positioned in the top-right corner of the chart. It outputs real-time diagnostic data:
- Direction: Displays the current structural bias (Bullish/Bearish).
- Signal: Indicates if an actionable Buy or Sell signal is present.
- Override: Shows the status of the Breakout Override (Off, Nominal, or Engaged in Orange).
- Matrix Pillars: Five rows display the status of the Stall, Slope, Volume, Range, and BPS Delta filters. A Red "Flat" tag indicates the filter is blocking signals, while a Green "Active" tag indicates the path is clear.
- VF Regime: The bottom row explicitly states the current volatility state (Alpha, Beta, Gamma, or Delta) with corresponding color codes.
• Signal Labels
When a directional flip occurs and the matrix conditions are met, explicit "BUY" (Upward pointing, subtle green) or "SELL" (Downward pointing, subtle red) labels are plotted precisely at the trendline level.
• Non-Standard Chart Warning
If the user applies the script to Heikin Ashi, Renko, Line Break, Kagi, or Point & Figure charts, a bold Red warning table will appear in the top-left corner. This warns the user that standard signals may repaint due to the synthetic price data of non-standard charts.
📌 Note : the best way to resolve visual overlap is to navigate to the Object Tree and drag the indicator above the main chart layer, or simply hide the native candles in your chart settings.
● 📖 How to Use
• Identifying Entries
Wait for a clear crossover of the closing price over the dynamic trendline. For a valid entry, ensure the HUD Dashboard confirms the matrix conditions are "Active" and not "Flat." The emergence of a defined BUY or SELL label serves as the primary action trigger.
• Managing the Trade
Once in a position, the dynamic trendline serves as a logical trailing stop-loss level. As the trendline steps in the direction of the trade, users can manually trail their risk. The color gradient on the bars provides a secondary gauge; fading colors suggest weakening momentum and a potential reversion to the mean.
• Regime Awareness
Monitor the VF Regime status on the dashboard. In "Alpha" or "Beta" (lower volatility), expect tighter bands and slower movements. In "Gamma" or "Delta" (extreme volatility), be prepared for wider stops and aggressive price action. The indicator will automatically handle the mathematical adjustments, but position sizing should reflect the increased environmental risk.
• Repaint Warning Note
Always utilize this indicator on standard candlestick or bar charts. The underlying calculations depend on absolute close, high, and low values. Applying this to Heikin Ashi will cause lookahead bias and repainting signals.
🏆 Golden Rule — Before You Trade This Indicator:
Never rely on the default settings, every asset behaves differently. Every timeframe has its own rhythm. Default settings are a starting point — not a strategy.
The best configuration is the one you build yourself, through deliberate testing:
Adjust the settings methodically until false signals are minimized and entry/exit accuracy is maximized.
Test on your specific asset. Test on your specific timeframe. Then lock in what works.
The trader who takes time to configure is the trader who profits consistently.
● ⚙️ Inputs and Settings
• Volatility Fingerprint Group
Allows users to toggle the adaptive engine on or off, and set the lookback length used to determine the historical percentiles for regime classification.
• Core Engine Parameters
Controls the baseline foundation. Adjust the ATR period, the absolute Band Multiplier, the relative ATR Weight, the Price Move Weight, and the EMA Smoothing Length. When VF is enabled, these act as the baseline from which multipliers scale.
• Alpha Filtering Matrix
Provides granular control over the five anti-chop filters. Users can toggle each filter independently and adjust their strictness, such as the Flatness Threshold, Regression Length, Slope Threshold, Volume MA Length, and Range Percentile.
• Display & Cloud Configuration
Permits full aesthetic customization of the Bull/Bear colors, neutral gradient tones, visibility of the dashboard, signal labels, and the transparency parameters of the cloud fill.
• Alert Actions
Customizable string inputs that feed directly into the JSON webhook alert system, allowing automated traders to define syntax for Long, Short, Close Long, and Close Short actions.
● 🔍 Deconstruction of the Underlying Scientific and Academic Framework
• Autoregressive Smoothing and Moving Averages
The system employs an Exponential Moving Average (EMA) to smooth its dynamic raw band. The mathematical alpha factor is defined as 2 / (N + 1), where N is the user-defined smoothing length. This recursive formula assigns geometrically decreasing weights to older observations, ensuring the trendline remains highly responsive to recent price vectors while mathematically filtering high-frequency noise.
• Non-Parametric Rank Statistics
To evaluate the volatility state, the script calculates the nearest-rank percentile of the normalized ATR over a rolling window. Unlike standard standard-deviation bands (such as Bollinger Bands) that assume a normal Gaussian distribution of returns, this non-parametric percentile approach does not assume normality. This is statistically robust for financial time series, which exhibit leptokurtic (fat-tailed) distributions, ensuring accurate classification even during severe market outliers.
• Linear Regression and Slope Normalization
The Slope Filter relies on the Ordinary Least Squares (OLS) linear regression of the trendline. By calculating the change between the current linear regression value and the previous bar's value, it extracts a pure mathematical slope. To make this slope asset-agnostic, it is normalized by dividing the raw slope by the ATR, yielding a dimensionless ratio that accurately represents directional velocity regardless of the instrument's absolute price.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicator
Multi-Factor Regime Engine Pro [MarkitTick]💡 This indicator represents a robust framework designed to quantify market regimes by analyzing an array of price action, volatility, and momentum metrics. By synthesizing ten distinct market features into a unified confidence score, it dynamically adjusts its threshold bands, providing a highly adaptive approach to trend identification on any standard chart.
✨ Originality and Utility
Standard trend-following tools often rely on static lookback periods and fixed multipliers, which can lead to delayed signals during sudden market shifts or excessive false signals during consolidation. This indicator diverges from traditional methods by introducing a dynamic, feature-engineered confidence score. Instead of relying on a single data point like closing price or standard volatility, it aggregates inputs from momentum oscillators, directional movement indices, volume profiles, and standard deviation bands. This multi-dimensional analysis allows the indicator's bands to compress during high-confidence trends and expand during uncertain, low-confidence environments, offering a highly responsive and adaptive utility for modern chart analysis. Furthermore, it incorporates strict internal safeguards to prohibit execution on non-standard charts, ensuring the integrity of the data and preventing repainting vulnerabilities.
🔬 Methodology and Concepts
● The Feature Engineering Engine
The core of this indicator is built upon extracting ten distinct normalized features from the market data, evaluating multiple dimensions of price action simultaneously:
Momentum Normalization: Utilizes relative strength metrics, centered and scaled, to gauge underlying momentum bias without relying on absolute thresholds.
Directional Strength: Analyzes directional movement indices to quantify the strength of the current trajectory, applying directional penalties when negative movement overpowers positive movement.
Moving Average Distances: Measures the current price relative to fast and slow moving averages, standardizing the distance using the Average True Range to identify structural overextension.
Rate of Change Standardization: Normalizes the rate of change against its own rolling standard deviation to detect statistical anomalies in speed and acceleration.
Standard Deviation Extremes: Evaluates the position of the price relative to upper and lower Bollinger Bands, calculating the precise percentile of the close within the volatility envelope.
Volatility Stability: Compares short-term volatility against long-term volatility baselines to measure market stress and detect rapid expansions.
Volume Anomalies: Assesses current volume against its simple moving average, clamping the result to identify participation spikes that validate price movement.
Price Action Consistency: Calculates the ratio of bullish to bearish closes within the defined lookback period, serving as a raw footprint of buyer versus seller control.
● The Confidence Score Assembly
These standardized features are separated into distinct sub-components. A Directional Score identifies the probable path of the trend by weighting momentum and moving average slopes. A Quality Score measures the structural integrity of that trend by analyzing volume participation and volatility stability. These are mathematically combined to produce a Raw Confidence value. This raw output undergoes an adaptive smoothing process using a dynamic moving average, resulting in a highly stable, final Confidence Score bounded precisely between 0% and 100%.
● Adaptive Ratcheting Bands
The calculated Confidence Score directly influences the width of the trend bands. When the confidence is high, the internal multiplier decreases, tightening the bands closer to the price action to capture shifts quickly and protect accumulated distance. Conversely, when confidence is low, the bands expand to avoid noise and erratic whipsaws. The bands utilize a state-machine logic that only ratchets in the direction of the trend, acting as a trailing threshold that reacts to both price crosses and sudden regime shifts identified by extreme volatility spikes.
🎨 Visual Guide
● Heatmap Candles
The indicator actively repaints the chart candles based on a calculated mathematical "stress" metric.
Colors transition dynamically from a baseline trend color (Deep Sky Blue for bullish conditions, Radical Red for bearish conditions) to a bright orange "Regime Alert" color when underlying volatility spikes significantly.
Candle body opacity is heavily controlled by the alignment of the price action with the overall trend direction, fading to a darker tone during contrary movements or low-confidence pullbacks.
● ML Supertrend Band
Displayed as a prominent, solid line representing the adaptive trailing threshold on the chart.
This band is colored Deep Sky Blue during bullish market phases and Radical Red during bearish phases, updating in real-time as the state machine ratchets.
● Confidence Gradient Cloud
This visual element fills the spatial gap between the median price baseline and the trailing Supertrend band.
The exact opacity and gradient of this cloud are mapped directly to the Confidence Score. A highly opaque, solid cloud represents high confidence, while a highly transparent, fading cloud visually indicates low confidence and potential market transition.
● Visual Labels
Small directional visual markers appear directly above or below the price action when a trend flip occurs.
These labels display an arrow alongside a precise percentage value, representing the exact calculated Confidence Score at the moment the signal was generated.
● Info Table
Located statically in the top right corner, this dashboard displays crucial real-time internal metrics.
It includes the current trend direction, a visual text-based progress bar for the Confidence Score, the live Adaptive Multiplier value adjusting in real-time, the selected Model configuration, and a dynamic text alert that triggers during active Regime Shifts.
📖 How to Use
● Trend Identification
Observe the dominant color of the ML Supertrend Band and the Confidence Gradient Cloud. Deep Sky Blue strongly indicates a bullish environment, while Radical Red suggests a bearish environment. The visibility and thickness of the cloud serve as your primary visual gauge of the trend's structural health.
● Interpreting the Confidence Metric
Monitor the Confidence Score inside the Info Table or at signal generation. A high percentage (e.g., above 70%) suggests that multiple underlying market factors (volume, momentum, standard deviation) are in full agreement with the current directional bias. A rapidly dropping confidence score often precedes a period of choppy consolidation or warns of a potential reversal, allowing for tighter risk parameters.
● Reading Heatmap Candles for Shifts
When the standard colored candles begin transitioning toward the bright orange Regime Alert color, it indicates an abnormal spike in volatility combined with a directional momentum shift. This visually warns the user of a potential "Regime Shift" where the market is undergoing severe internal stress. These specific visual cues often signal an impending breakout from a range or a violent capitulation event.
⚙️ Inputs and Settings
● Model Configuration
Strategic Cycle Mode: Allows the choice between an "Auto" mode and a "Custom" mode. Auto mode dynamically selects the most mathematically optimal lookback lengths, thresholds, and weighting coefficients based purely on the current timeframe in seconds.
Strategic Cycle: When in custom mode, this determines the core lookback period for all volatility and momentum calculations. Smaller values drastically increase reactivity, while larger values provide smoother, long-term macroeconomic analysis.
Macro Trend Threshold: Sets the baseline mathematical width of the threshold bands. Higher values require significantly larger price movements to trigger a trend flip, reducing noise.
Prediction Weight: Controls the internal sensitivity of the bands to rapid changes in the Confidence Score, determining how aggressively the bands compress.
● Visual Settings & Colors
Dedicated toggles are provided to enable or disable the Confidence Labels, the Info Table, and the Heatmap Candles to keep the chart interface as clean as desired.
All core graphical colors, including the specific bands, gradient clouds, table text, and alert highlights, are fully customizable by the user via hex selection.
● Webhook Settings
The indicator is pre-configured to output detailed, formatted JSON payloads designed for external execution automation.
Users can securely define specific action strings for entering and closing both long and short positions directly within the settings menu, mapping exactly to their webhook parser logic.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
● Multi-Variate Feature Standardization
The mathematical foundation of this tool relies heavily on statistical normalization techniques designed to process heterogeneous data. Financial time series data is notoriously non-stationary and spans vastly different numerical scales. To effectively combine disparate metrics like Volume (often measured in millions) and relative strength oscillators (strictly bounded between 0 and 100), the indicator employs rigorous Min-Max scaling and localized Z-score approximations. For instance, the rate of change is evaluated against its own rolling standard deviation over a defined period, successfully standardizing the momentum readout into a continuous, comparable spectrum bounded cleanly between -1.0 and 1.0.
● Linear Weighted Ensembles
The internal architecture utilizes a deterministic linear weighted model to synthesize the final output. By assigning highly specific fractional coefficients to directional features (like the exponential moving average slope and relative strength) and structural features (like Bollinger Band width extremes and volatility stability), the script constructs a singular composite index. This mirrors standard ensemble methodologies found in data science, where the consensus of multiple independent weak learners generates a stronger, more reliable predictive metric than any single indicator could achieve in isolation.
● Volatility-Adjusted State Machines
The adaptive threshold logic operates as a strict finite-state machine incorporating the Average True Range metric. The specific mathematical innovation lies in rendering the ATR multiplier as an inverse linear function of the composite confidence index. In quantitative terms, this produces a dynamically dampened volatility envelope. When the composite index approaches a maximum value indicating high convergence, the dampening factor aggressively compresses the envelope, mathematically acknowledging that high-conviction trends exhibit less erratic mean-reversion behavior and therefore require drastically tighter invalidation levels to preserve structural alpha.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicator
Arc Momentum Oscillator [BOSWaves]Arc Momentum Oscillator - Acceleration-Driven Arc Engine with Adaptive Momentum Tracking and Divergence Detection
Overview
Arc Momentum Oscillator is a momentum-based trend oscillator that tracks directional price commitment through an acceleration-driven arc engine, where arc positioning, trend state, and flip signal generation are determined by the relationship between a smoothed centered RSI momentum line and a dynamically accelerating arc that chases momentum from a volatility-scaled starting distance rather than from fixed thresholds or static level crossovers.
Instead of relying on conventional overbought and oversold threshold crossings or moving average crossovers, trend state is determined by the relative position of momentum and the arc, with the arc launching from a standard deviation-scaled offset on each trend flip and accelerating progressively toward momentum until the relationship reverses. This creates a trend detection mechanism that adapts its sensitivity to the instrument's actual momentum volatility rather than applying identical thresholds regardless of market conditions.
This creates an oscillator that reflects genuine momentum dynamics rather than arbitrary indicator levels. The arc contracts toward momentum during sustained trending conditions as acceleration builds, produces flip signals only when momentum crosses the arc with sufficient separation to clear a volatility-scaled buffer, and maps momentum strength visually through cloud fill intensity, strength bands, and extreme zone highlighting that collectively reveal conviction state at a glance.
Price is therefore evaluated against an arc that adapts to momentum volatility, accelerates with trend persistence, and resets to a calibrated starting distance on each directional change rather than reacting identically to every momentum fluctuation.
Conceptual Framework
Arc Momentum Oscillator is founded on the principle that meaningful trend signals in momentum space emerge from the acceleration dynamics between price momentum and a trailing arc, not from momentum crossing fixed reference levels that carry no adaptive relationship to the instrument's current volatility regime.
Traditional momentum oscillators identify directional changes through threshold crossovers at fixed levels such as 50, 70, or 30, which treat all momentum readings identically regardless of how significant they are relative to recent momentum behavior. This framework replaces static-threshold logic with an acceleration-based arc system where flip significance is measured relative to the current standard deviation of momentum, and arc behavior evolves continuously based on how long the current trend has persisted.
Three core principles guide the design:
Trend flips should require momentum to breach the arc by a volatility-scaled buffer, ensuring signal generation reflects statistically meaningful momentum displacement rather than marginal crossovers.
The arc should accelerate progressively during trend persistence, contracting toward momentum as conviction builds and reflecting weakening trend strength as the gap narrows.
Momentum strength and extreme conditions should be visualized through adaptive fills and strength bands rather than fixed reference lines, providing continuous conviction context across varying volatility regimes.
This shifts oscillator analysis from static threshold monitoring into dynamic arc-momentum relationship tracking where signal significance is continuously calibrated to prevailing momentum volatility.
Theoretical Foundation
The indicator combines RSI-based momentum sourcing, exponential smoothing and centering, standard deviation-based adaptive unit calculation, acceleration-driven arc mechanics, and pivot-based divergence detection between price and the oscillator.
The RSI is calculated over a short configurable period and centered around zero by subtracting fifty, creating a momentum reading that oscillates between negative and positive territory reflecting bearish and bullish momentum respectively. An EMA smoothing pass reduces noise before the arc engine processes the momentum line. The standard deviation of momentum over a rolling window provides the adaptive unit that scales all arc behavior, including launch distance, flip buffer, and step size, ensuring the system responds proportionally to actual momentum variance. The arc accelerates by incrementing its velocity on a configurable smoothing interval, producing progressively faster convergence toward momentum during sustained trends.
Four internal systems operate in tandem:
Momentum Source Engine : Calculates RSI over the configured length, centers it around zero, and applies EMA smoothing to produce a clean directional momentum reading that serves as the primary oscillator line.
Adaptive Unit Calculation : Derives a rolling standard deviation of momentum to produce a volatility-normalized unit that scales arc launch distance, flip buffer threshold, and step size adaptively to current momentum behavior.
Arc Acceleration Engine : Maintains arc position and velocity state, launching the arc from a standard deviation-scaled offset on each flip, incrementing velocity on each smoothing interval, and advancing the arc toward momentum at a rate that grows with trend persistence.
Divergence Detection System : Identifies confirmed pivot highs and lows on the momentum oscillator and compares them against corresponding price pivots, detecting regular bearish divergence where price makes higher highs against lower oscillator highs and regular bullish divergence where price makes lower lows against higher oscillator lows.
This design allows the oscillator to reflect both the direction and the conviction dynamics of momentum while simultaneously monitoring the relationship between price structure and oscillator structure for divergence conditions.
How It Works
Arc Momentum Oscillator evaluates price through a sequence of momentum-aware and acceleration-driven processes:
RSI Calculation and Centering : RSI is calculated over the configured length and shifted by subtracting fifty, producing a centered momentum reading where positive values reflect bullish RSI conditions and negative values reflect bearish conditions.
Momentum Smoothing : EMA smoothing is applied to the centered RSI over the configured smoothing length, reducing bar-to-bar noise and producing the primary momentum line that the arc engine tracks.
Adaptive Unit Derivation : The standard deviation of momentum over a 100-bar rolling window provides the adaptive unit that governs all volatility-scaled arc behavior throughout the session.
Arc Initialization : On first activation after sufficient bars for standard deviation calculation, the arc is placed below momentum at a distance equal to the adaptive unit multiplied by the Start Distance parameter, with velocity initialized to zero.
Flip Detection : Each bar tests whether momentum has crossed the arc by more than a volatility-scaled buffer in the opposing direction. A cross below the arc minus buffer triggers a bearish flip; a cross above the arc plus buffer triggers a bullish flip.
Arc Reset on Flip : When a flip is detected, the arc resets to a new starting position on the opposite side of momentum at the full Start Distance offset and velocity resets to zero, beginning a fresh acceleration cycle in the new trend direction.
Arc Acceleration : On bars that fall on the configured smoothing interval, arc velocity increments by the configured Arc Speed value and the arc advances toward momentum by the adaptive step size multiplied by current velocity, producing progressively faster arc convergence as the trend persists.
Cloud Fill Rendering : The area between the arc and momentum line is filled with the trend direction color at a configurable transparency, with fill intensity providing a visual representation of the gap between arc and momentum.
Strength Band Rendering : Gradient-filled bands in the extreme oscillator zones scale their opacity based on how far momentum sits from the midline relative to the configured range, providing a continuous strength visualization that intensifies as momentum approaches extreme territory.
Divergence Evaluation : On each confirmed momentum pivot, recent pivot history is scanned for divergence conditions between price and oscillator structure within the configured minimum and maximum pivot distance range, with qualifying divergences drawing connecting lines on both the oscillator and the price chart.
Together, these elements form a continuously updating momentum framework where arc dynamics reveal trend conviction, flip signals reflect statistically significant momentum shifts, and divergence detection identifies structural disagreement between price and momentum before directional changes occur.
Interpretation
Arc Momentum Oscillator should be interpreted as an acceleration-driven momentum conviction system with structural divergence monitoring:
Bullish Trend State (Green) : Active when momentum is above the arc with sufficient buffer separation, indicating upward momentum has breached the arc threshold and the arc is accelerating from below to track the developing upside conviction.
Bearish Trend State (Red) : Active when momentum is below the arc with sufficient buffer separation, indicating downward momentum has breached the arc threshold and the arc is accelerating from above to track the developing downside conviction.
Arc Line : The grey trailing arc represents the dynamic boundary that momentum must cross to trigger a trend flip. Its proximity to momentum reflects accumulated trend age as the arc accelerates and converges toward the momentum line during sustained conditions.
Momentum Line : The colored primary oscillator line reflects smoothed centered RSI momentum, with positive readings above zero indicating bullish momentum dominance and negative readings below zero indicating bearish momentum dominance.
Cloud Fill : The gradient fill between arc and momentum line is colored by current trend direction, with a wider gap producing a more prominent fill that visually represents the distance between momentum and its trailing arc.
Strength Bands : Gradient-filled zones in the upper and lower extreme areas intensify in opacity as momentum approaches and enters extreme territory, providing a continuous strength reading that reflects how far momentum has extended relative to the oscillator's range.
Extreme Zone Background : Subtle background tinting activates when momentum exceeds the configured extreme threshold in either direction, providing an immediate visual cue that momentum is in statistically elevated territory.
Reference Rails : The zero midline, plus and minus 25 reference levels, and the configurable extreme threshold lines provide orientation anchors across the oscillator's momentum range without imposing fixed signal thresholds.
Flip Arrows : Small triangle markers appear on the price chart at arc flip bars, with upward triangles for bullish flips and downward triangles for bearish flips, positioned at a configurable offset from the arc for visibility.
Divergence Lines : Connecting lines drawn on both the oscillator and the price chart at divergence pivot points highlight structural disagreement between price and momentum, with bullish divergence lines in green and bearish divergence lines in red.
Divergence Labels : Bull and Bear labels appear at confirmed divergence pivot points on the oscillator pane, identifying the divergence type for immediate reference.
Trend Candles : Optional candle coloring on the price chart reflects current arc trend state, providing directional context on the main chart without requiring the oscillator pane to be in view.
Arc proximity to momentum, flip signal frequency, strength band opacity, and divergence conditions collectively provide more information than any element in isolation.
Signal Logic & Visual Cues
Arc Momentum Oscillator presents two primary arc interaction signals alongside continuous divergence monitoring:
Bullish Arc Flip : Triggered when momentum crosses above the arc by more than the volatility-scaled buffer, causing the arc to reset below momentum at the full Start Distance offset and begin a fresh bullish acceleration cycle.
Bearish Arc Flip : Triggered when momentum crosses below the arc by more than the volatility-scaled buffer, causing the arc to reset above momentum at the full Start Distance offset and begin a fresh bearish acceleration cycle.
Divergence detection provides secondary reversal context, with bullish divergence identifying price weakness not confirmed by oscillator structure and bearish divergence identifying price strength not confirmed by oscillator structure.
Alert generation covers bullish and bearish arc flips and entry into bull and bear extreme zones for systematic momentum monitoring workflows.
Strategy Integration
Arc Momentum Oscillator fits within momentum-informed and conviction-tracking approaches across trend-following and reversal frameworks:
Flip-Based Directional Entries : Use arc flip signals as momentum regime change confirmations, entering in the flip direction when the arc reset occurs after a statistically significant momentum breach rather than at arbitrary oscillator levels.
Arc Convergence Monitoring : Track the closing distance between the arc and momentum during established trends as a real-time conviction gauge; tight arc-to-momentum gaps indicate mature trend conditions where a flip becomes increasingly possible with minimal additional momentum deterioration.
Extreme Zone Context : Use extreme background tinting and strength band intensity as momentum extension warnings rather than reversal signals, treating extended extreme readings with the caution appropriate to overextended momentum states.
Divergence-Confirmed Reversals : Use divergence signals as anticipatory context for potential arc flips, weighting flip signals more heavily when a divergence condition has formed in the bars preceding the flip rather than treating them as independent signals.
Trend Candle Alignment : Use trend candle coloring on the price chart to maintain arc trend state awareness when analyzing price action directly, ensuring entry and exit decisions remain aligned with the current oscillator regime.
Multi-Timeframe Momentum Confirmation : Apply higher-timeframe arc trend state as a directional momentum filter, favoring trades where lower-timeframe flip signals align with the established higher-timeframe arc direction rather than opposing it.
Technical Implementation Details
Momentum Source : RSI-centered around zero with configurable length and EMA smoothing pass
Adaptive Unit : Rolling 100-bar standard deviation of momentum for volatility-normalized arc scaling
Arc Engine : Stateful acceleration system with velocity accumulation, smoothing-interval advancement, and flip-triggered reset
Flip Buffer : Volatility-scaled separation requirement preventing marginal arc crossovers from triggering flips
Divergence System : Pivot array-based regular divergence detection with configurable pivot size, minimum and maximum distance, and cooloff between successive divergences of the same type
Visualization : Cloud fill, adaptive strength bands, extreme background tinting, reference rails, and divergence lines on both oscillator and price chart
Signal Output : Flip arrows on price chart, divergence labels on oscillator pane, and optional trend candle coloring
Performance Profile : Optimized for real-time execution across all timeframes with adaptive unit calculation ensuring consistent behavior across instruments with different volatility characteristics
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Rapid flip detection for scalping with shorter RSI length and higher arc speed for faster momentum tracking
15 - 60 min : Intraday momentum regime identification with balanced smoothing and moderate arc acceleration settings
4H - Daily : Swing-level momentum trend tracking with longer smoothing and slower arc speed for sustained conviction measurement
Suggested Baseline Configuration:
RSI Length : 5
Momentum Smoothing : 17
Arc Speed : 0.11
Start Distance (σx) : 3.5
Arc Smoothing : 5
Extreme Threshold : 30
Show Cloud Fill : Enabled
Show Reference Rails : Enabled
Highlight Extremes : Enabled
Calculate Divergences : Enabled
Show Trend Candles : Enabled
These suggested parameters should be used as a baseline; their effectiveness depends on the instrument's momentum characteristics, volatility profile, and preferred flip frequency, so fine-tuning is expected for optimal performance.
Parameter Calibration Notes
Use the following adjustments to refine behavior without altering the core logic:
Too many arc flips : Increase Start Distance to place the arc further from momentum on each reset, requiring more sustained momentum displacement before a flip registers, or increase Momentum Smoothing to reduce the noise feeding into the arc engine.
Arc flips too infrequent : Decrease Start Distance toward 2.0 for a tighter initial arc offset, or increase Arc Speed so the arc converges faster and becomes more sensitive to momentum reversals as the trend matures.
Arc converges too slowly : Increase Arc Speed to accelerate the rate at which the arc closes the gap to momentum, producing earlier flip sensitivity during sustained trend conditions.
Arc converges too quickly : Decrease Arc Speed toward 0.02 to slow convergence, maintaining a wider arc-to-momentum gap for longer and requiring more significant momentum deterioration before a flip becomes possible.
Momentum line too noisy : Increase Momentum Smoothing toward 20 for a cleaner momentum line with less bar-to-bar reactivity, or increase RSI Length for a slower underlying momentum source.
Extreme highlights activating too often : Increase Extreme Threshold toward 40 or 50 to restrict background tinting to only the most significant momentum extension events.
Too many divergence signals : Increase Pivot Left and Right values to demand more structurally significant pivot confirmations, or increase the minimum pivot distance to prevent closely-spaced pivots from qualifying for divergence comparison.
Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions.
Performance Characteristics
High Effectiveness:
Trending markets where momentum builds and sustains in one direction, allowing arc acceleration to develop meaningful convergence before the next flip
Instruments with consistent RSI behavior where centered momentum reliably reflects directional conviction and the standard deviation unit stabilizes quickly after initialization
Momentum continuation strategies using arc flip signals as regime change confirmations rather than as precise entry timing tools
Divergence-aware reversal approaches where oscillator structure disagrees with price structure ahead of trend changes, providing anticipatory context for flip signals
Reduced Effectiveness:
Choppy, low-momentum markets where rapid alternation between bullish and bearish RSI conditions produces frequent arc flips without sustained directional follow-through
Extremely low-volatility environments where momentum standard deviation collapses and the adaptive unit loses its discriminative power for scaling arc behavior
News-driven or gap-heavy instruments where sudden momentum spikes trigger arc flips that immediately reverse before the acceleration cycle develops meaningful convergence
Markets with inconsistent RSI dynamics where the centered momentum line fails to produce clean pivot structure, reducing divergence detection reliability
Consolidation and sideways conditions where momentum oscillates near zero without sufficient directional displacement to sustain arc trend states or produce clean flip sequences
Integration Guidelines
Confluence : Combine with BOSWaves structural tools, volume analysis, or adaptive band indicators to validate arc flip signals with price structure and participation context
Arc Convergence Awareness : Monitor arc-to-momentum distance as a real-time trend maturity indicator; tightly converged arc conditions suggest a flip requires minimal further momentum deterioration and warrant increased vigilance
Divergence Respect : Treat divergence signals as context-building evidence rather than standalone triggers; their value increases when they precede an arc flip in the divergence direction rather than occurring in isolation
Extreme Zone Caution : Avoid initiating new positions in the direction of extreme momentum readings; use extreme zone detection as a signal to monitor for arc convergence and potential flip conditions rather than as a continuation entry context
State Discipline : Maintain directional bias aligned with the current arc trend state until a confirmed flip occurs. Short-term momentum oscillations toward zero that do not breach the arc with sufficient buffer do not constitute trend changes.
Disclaimer
Arc Momentum Oscillator is a professional-grade momentum analysis and divergence detection tool. It uses acceleration-driven arc mechanics with volatility-normalized momentum measurement but does not predict future price movements. Results depend on market conditions, instrument momentum characteristics, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, volume context, and comprehensive risk management. Indicator
ATC SuperTrend Pro What It Is
ATC SuperTrend Pro is a trend-following indicator built on the classic SuperTrend framework and rebuilt from the ground up with three layers of intelligence the retail version simply does not have: a volatility regime engine that adapts the ATR multiplier to current market conditions, a volume participation classifier that tells you who is behind each trend flip, and a session-aware signal filter that focuses your attention on the time windows where trend flips have the highest historical follow-through. The result is a SuperTrend that doesn't just tell you which direction price is moving — it tells you whether the flip is worth acting on.
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Who It's Built For
ATC SuperTrend Pro is designed for active intraday traders who already understand trend-following but are tired of getting whipsawed by low-conviction flips in choppy, low-volume conditions. It works best on liquid instruments with clearly defined session structure. The indicator ships with optimized pre-built profiles for QQQ on the 5-minute and 1-minute timeframes, and a fully configurable Custom mode for traders who want to tune it to other instruments or session styles.
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Core Concept
At its foundation, this is still a SuperTrend indicator. Price closes below the dynamic ATR band, the trend flips bearish. Price closes above the band, the trend flips bullish. The band plots directly on the chart as your support and resistance anchor for the current trend.
What makes ATC SuperTrend Pro different is what happens around that flip before it is presented to you. Every flip is evaluated against three filters simultaneously:
1. Is the volatility environment appropriate? The indicator continuously measures where current ATR sits within its recent historical range. If volatility is in a low regime, the ATR multiplier compresses slightly, pulling the band closer to price and making the indicator more sensitive. If volatility is in a high regime, the multiplier expands, giving the band more room and reducing noise-driven flips. If the market is in a normal regime, the base multiplier is used as-is.
2. Is there meaningful participation behind the flip? Every flip is classified by the volume ratio at the moment of the flip — current bar volume divided by the rolling average volume. Flips that occur on low relative volume are classified as Low Participation. Flips that occur on high relative volume are classified as High Participation. This distinction matters: a trend flip on thin volume is structurally weaker than a flip that occurs with genuine market engagement behind it.
3. Is this flip occurring at a time of day when trend signals are worth acting on? Not all hours of the trading session are equal. Choppy midday drift produces a high percentage of false flips that reverse within a few bars. ATC SuperTrend Pro lets you restrict signal qualification to specific time windows — the opening hour, the second hour, and the final hour — so that the flips that make it through to a Qualified status are the ones occurring when market structure is most directional.
Only flips that pass all three gates simultaneously are elevated to Qualified status and trigger the primary markers and alerts.
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ATC SuperTrend Pro Upgrades
The standard retail SuperTrend uses a fixed ATR multiplier applied uniformly regardless of whether the market is trending quietly or exploding through key levels. ATC SuperTrend Pro replaces that single fixed value with three layered upgrades:
Volatility Regime Engine — A rolling ATR percentile rank determines whether the market is currently in a Low, Normal, or High volatility regime. Each regime applies a different effective ATR multiplier using hysteresis-locked state transitions, meaning the indicator doesn't flicker back and forth between regimes on every bar when ATR sits near a threshold. The regime boundaries are defined by empirical percentile ranks (33rd and 67th percentile by default) rather than arbitrary round-number breakpoints.
Participation Classification — Volume at the time of each flip is compared against a rolling volume moving average. Every flip is tagged with one of three participation states — Low Participation, High Participation, or Exhaustion Risk — before any signal is qualified.
Exhaustion Risk Detection — A specific combination of conditions — high volume participation during a high volatility regime — is flagged as Exhaustion Risk rather than a clean directional signal. This is the market condition most commonly associated with climactic moves followed by reversal, and it is the one condition most retail SuperTrend tools would happily hand you as a clean entry signal. ATC SuperTrend Pro surfaces it explicitly and excludes it from qualified signals by default.
Session Time Window Filtering — Seven configurable signal windows let you define when the indicator can issue a Qualified signal. The pre-built QQQ profiles apply empirically validated time windows out of the box.
Timeframe Profiles — The Profile Engine loads pre-optimized parameter sets for QQQ 5-minute and QQQ 1-minute trading so new users don't have to guess at calibration.
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Chart Visuals
The SuperTrend Line — The core line plots directly on price. In a bullish trend it sits below price, acting as dynamic support. In a bearish trend it sits above price, acting as dynamic resistance. The line color shifts cleanly between electric green (bullish) and electric red (bearish) on each confirmed flip. The line uses a break style so it does not draw through gaps.
Glow Layer — A wide, semi-transparent glow surrounds the SuperTrend line at 78% transparency, creating a visual halo effect. This is a cosmetic enhancement that makes the trend direction immediately readable on any chart background. It can be toggled off in settings.
Trend Fill — A gradient fill extends from the SuperTrend line to the price close, color-matched to the current trend direction. Fill opacity adjusts automatically by volatility regime: tighter and more opaque in low-volatility conditions, slightly more transparent in high-volatility conditions where the fill region widens. This gives you a passive visual read on the current regime without requiring you to check the HUD.
Candle Tinting — An optional setting tints every candle with a light wash of the current trend color at 72% transparency. Off by default.
Qualified Flip Markers (Q triangles) — The primary actionable markers. A green upward triangle with a white "Q" label appears below the bar on a Qualified Bull Flip. A red downward triangle with a white "Q" label appears above the bar on a Qualified Bear Flip. These are the only markers that trigger the primary alert conditions.
Low Participation Markers (small circles) — Cyan circles mark flips that occurred on below-average volume. These flips did not pass the participation filter for a Qualified signal. They are visible context — not action items.
High Participation Markers (small diamonds) — Gold diamonds mark flips that occurred on above-average volume but did not qualify due to time window filtering or another gate. These are structurally stronger flips than the circles, and they are worth noting even when they fall outside the active signal window.
Exhaustion Risk Markers (X crosses) — Orange X marks appear on flips classified as Exhaustion Risk — high participation volume during a high volatility regime. These are the most important non-qualified flips to understand. They are not entry signals. They are structural warnings.
Volatility Regime Change Markers (tiny accent X) — A small gold-tinted X appears at the bottom of the chart whenever the volatility regime transitions between Low, Normal, and High. This is a background awareness marker, not a trading signal.
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HUD Breakdown
The HUD is a two-column table that anchors to your chosen chart corner and stays current on every bar close. Each row reflects a live or persistent state:
Profile — Displays the active profile: QQQ 5m, QQQ 1m, or Custom. Gold text.
Trend — Current SuperTrend direction: Bullish (green) or Bearish (red). This updates on every confirmed bar close.
Signal Window — Active or Filtered. Shows whether the current bar falls within the configured actionable time window. Green when active, grey when filtered. Useful for understanding in real time whether a flip occurring right now would qualify.
Window Mode — The abbreviated label of the current time window configuration (e.g., "Open + Final", "2nd + Final").
Action Mode — The current participation mode filter displayed in abbreviated form (e.g., "Low Part.", "Non-Exh.", "All Flips").
Vol Regime — The current volatility regime: Low (gold), Normal (grey), or High (red). Updates whenever the regime transitions.
Eff. Mult — The effective ATR multiplier currently in use after regime adjustment. In a Low volatility regime this will be less than the base multiplier. In a High volatility regime it will be greater.
Current Part. — The current bar's volume participation ratio expressed as a multiple of the rolling average (e.g., "0.84×" means below-average volume, "2.31×" means more than double average volume). Color-coded: cyan for low participation, gold for high.
Last Flip — The direction of the most recent trend flip (Bull Flip or Bear Flip).
Flip Type — The participation classification assigned to the last flip: Low Participation, High Participation, or Exhaustion Risk. Color matches the corresponding marker color.
Qualified — Whether the last flip achieved Qualified status (green "Qualified") or was filtered out (grey "Filtered").
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Logic Layers
Reading the layers together is what separates ATC SuperTrend Pro from a standard flip-and-go indicator.
Layer 1: Trend Direction — The SuperTrend line tells you what direction the tool currently calls. This is the structural backbone. Every other layer is commentary on that backbone.
Layer 2: Volatility Regime — The regime tells you how tight or loose the market is relative to its own recent history. A Low regime means the market is coiling. A High regime means the market is already expanded. Flips in High regime conditions are more suspect — they may be climactic rather than initiating.
Layer 3: Participation — Participation tells you whether the flip had genuine volume engagement or whether it was a thin-air move. Low-participation flips in a trending environment sometimes resolve as continuation after a shallow pullback touches the SuperTrend band. High-participation flips with the trend have the most structural conviction behind them.
Layer 4: Exhaustion Risk — The highest-priority warning in the system. When all three of the following are simultaneously true — a flip occurred, volume is elevated above the participation threshold, and the market is in a High volatility regime — the tool flags Exhaustion Risk. This combination historically corresponds to moves that spike through the SuperTrend band on a burst of volume only to reverse back. Do not treat this as a confirmed directional flip.
Layer 5: Time Window — The time window filter is the final gate. Even a structurally clean flip — Low participation, Normal regime, correct direction — will not receive Qualified status if it occurs during a filtered time window. This is by design. Qualified signals are reserved for periods of the session where trend initiation is most reliable.
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Alerts
ATC SuperTrend Pro includes eight distinct alert conditions covering every layer of the system.
Qualified Bull Flip — Fires on a confirmed bullish flip that passes all three gates: time window, participation mode, and exhaustion exclusion. This is the primary long signal alert.
Qualified Bear Flip — Fires on a confirmed bearish flip that passes all three gates. This is the primary short signal alert.
Low Participation Bull Flip — Fires on a bullish flip classified as Low Participation, regardless of time window qualification.
Low Participation Bear Flip — Fires on a bearish flip classified as Low Participation, regardless of time window qualification.
High Participation Bull Flip — Fires on a bullish flip classified as High Participation but not Exhaustion Risk.
High Participation Bear Flip — Fires on a bearish flip classified as High Participation but not Exhaustion Risk.
Exhaustion-Risk Bull Flip — Fires when a bullish flip occurs simultaneously with High Participation and a High Volatility regime. Use as a caution alert, not an entry trigger.
Exhaustion-Risk Bear Flip — Same logic for bearish direction.
Volatility Regime Change — Fires whenever the volatility regime transitions between Low, Normal, and High.
Any Flip — Fires on every confirmed trend flip regardless of classification. Useful for monitoring purposes when you want to observe all flip activity.
All flip-based alerts respect the Confirm Markers / Alerts On Bar Close setting, meaning they will not fire mid-bar — only on a confirmed bar close.
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How to Trade (Step-by-Step)
Step 1: Select your profile. If you are trading QQQ on the 5-minute chart, select QQQ 5-Minute. If you are on the 1-minute chart, select QQQ 1-Minute. For other instruments or timeframes, select Custom and configure the parameters manually.
Step 2: Confirm the signal window is Active. Check the HUD's Signal Window row before taking any action on a flip. If it reads "Filtered," you are outside the active time window. The indicator is still tracking trend direction, but Qualified signals are not being issued. You can watch the flip and mark the level, but wait for a time-window-active retest or a new flip within the active window before acting.
Step 3: Wait for a Q marker. Only flips that print the triangle with the white Q label are Qualified signals. Do not act on circles, diamonds, or X marks as primary entries. Those markers are classification information.
Step 4: Confirm the Flip Type in the HUD. After a Q marker prints, check the Flip Type row in the HUD. "Low Participation" means the flip occurred on thin volume — the move may be cleaner but should be confirmed with continuation. "High Participation" means strong volume engagement — this flip has more conviction, though the participation alone does not guarantee follow-through.
Step 5: Note the volatility regime. If the Vol Regime row shows "High" and a flip just printed, proceed with tighter sizing than normal. High-regime flips on elevated volume are the conditions where Exhaustion Risk is most likely. A High regime with a Qualified signal that is classified as High Participation is structurally the strongest setup the tool will generate — but it is also the setup most worth confirming with at least one or two bars of follow-through before adding size.
Step 6: Use the SuperTrend line as your stop anchor. Once in a trade, the SuperTrend line is your structural stop reference. In a long trade, price should remain above the line. A confirmed close back below the line flips the trend and is your exit signal. Do not move your stop to breakeven prematurely if price is simply oscillating near the line within a Low volatility regime — the tighter multiplier is doing its job.
Step 7: Respect Exhaustion Risk X markers. If an X appears on a flip that was otherwise pointing in your favor, treat it as a warning to reduce size or stay flat rather than chasing the move. These prints are the system telling you that the flip is accompanied by the exact conditions most associated with reversal, not continuation.
Step 8: Set your preferred alerts. For a clean setup, set alerts on Qualified Bull Flip and Qualified Bear Flip only. If you want supplementary context, also set the Volatility Regime Change and Exhaustion-Risk alerts so you are notified of structural shifts even when no Qualified flip is pending.
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Settings Reference
Profile Engine
• Timeframe Profile — Selects QQQ 5-Minute, QQQ 1-Minute, or Custom. When a pre-built profile is selected, the Custom input groups below are overridden by the profile values. Custom exposes all parameters for manual tuning.
Custom SuperTrend Core (active in Custom mode only)
• Custom ATR Length — The lookback period for ATR calculation. Shorter values respond faster to volatility shifts; longer values are smoother. Default: 10.
• Custom Base ATR Multiplier — The base envelope width as a multiple of ATR. This value is further modified by the regime engine. Default: 2.5.
• Source — Price anchor for the ATR envelope. hl2 (the average of high and low) is the classic SuperTrend source and the recommended starting point.
Custom Volatility Regimes (active in Custom mode only)
• Custom Regime Lookback — The number of bars used to establish the ATR percentile baseline. Default: 100.
• Custom Low-Vol Percentile — ATR readings below this percentile rank are classified as Low volatility. Default: 33.
• Custom High-Vol Percentile — ATR readings above this percentile rank are classified as High volatility. Default: 67.
• Custom Regime Hysteresis Buffer (%) — A buffer around each regime threshold that prevents the indicator from rapidly switching regimes on marginal ATR readings. Default: 3.0%.
• Custom Low-Vol Mult Adjust — Multiplier scaling factor applied in Low volatility regimes. Values below 1.0 tighten the band. Default: 0.85.
• Custom High-Vol Mult Adjust — Multiplier scaling factor applied in High volatility regimes. Values above 1.0 widen the band. Default: 1.15.
Custom Participation Classification (active in Custom mode only)
• Enable Participation Classification — Toggles the volume participation layer on or off.
• Custom Participation MA Length — The rolling average lookback for the volume baseline. Default: 20.
• Custom High Participation Threshold (× MA) — The volume multiple at which a flip is classified as High Participation. Default: 1.5×, meaning volume must be 50% above its rolling average.
• Tag High-Vol / High-Participation Flips As Exhaustion Risk — When enabled, flips meeting both the High Participation and High Volatility regime criteria are tagged as Exhaustion Risk rather than High Participation.
Signal Qualification
• Confirm Markers / Alerts On Bar Close — When enabled, no markers, HUD flip updates, or alerts fire until the bar is fully confirmed. Recommended for live trading to avoid acting on signals that repaint within the bar.
• Custom Actionable Signal Mode — Defines which participation class of flips can achieve Qualified status. Options: Low Participation Only, High Participation Only, All Non-Exhaustion, All Flips.
• Exclude Exhaustion-Risk Flips From Qualified Signals — When enabled, Exhaustion Risk flips are never elevated to Qualified status regardless of other criteria. On by default.
Signal Time Windows
• Signal Time Zone — The timezone used for all session window definitions. Default: America/Chicago (CT).
• Custom Actionable Signal Window — Selects which periods of the session can produce Qualified signals. Options: All Day, Opening Hour + Final Hour, Second Hour + Final Hour, Avoid Afternoon Drift, Opening Hour Only, Second Hour Only, Final Hour Only.
• Opening Hour Window — Defines the opening window session string. Default: 0830–0929 CT.
• Second Hour Window — Defines the second-hour window. Default: 0930–1029 CT.
• Final Hour Window — Defines the final-hour window. Default: 1400–1459 CT.
• Afternoon Drift Window To Avoid — Defines the midday drift window excluded when using the Avoid Afternoon Drift mode. Default: 1230–1359 CT.
Premium Visuals
• Shade Trend Fill — Enables the gradient fill between the SuperTrend line and price close. On by default.
• Show Line Glow — Enables the wide semi-transparent glow layer behind the SuperTrend line. On by default.
• Tint Candles By Trend — Applies a light color wash to candles matching the current trend direction. Off by default.
• Show Non-Qualified Flip Class Markers — When enabled, Low Participation circles, High Participation diamonds, and Exhaustion Risk X marks are drawn for flips that did not achieve Qualified status. These are informational context markers. Recommended on.
• Core Line Width — The width of the primary SuperTrend line in pixels. Range 1–5. Default: 3.
Colors All default colors are fully customizable: Electric Bullish Trend, Electric Bearish Trend, Low Participation Accent, High Participation Accent, Exhaustion-Risk Accent, Neutral, and Premium Accent.
HUD
• Show HUD — Toggles the HUD on or off.
• HUD Position — Anchors the HUD to Top Right, Top Left, Bottom Right, or Bottom Left.
• HUD Theme — Dark (dark background, white text) or Light (light background, dark text).
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Instruments & Timeframes
ATC SuperTrend Pro was developed and validated primarily on QQQ on the 5-minute and 1-minute timeframes, for which pre-built profiles are included. The Custom mode is suitable for tuning to other liquid equities, equity index ETFs, and futures instruments on intraday timeframes where RTH session structure is well-defined. The indicator is a single-timeframe tool — it does not request external timeframe data and operates entirely on the chart's current timeframe and symbol.
Allow a minimum of 100 bars of warmup before treating signals as fully calibrated. On short lookback timeframes with limited history, the ATR percentile baseline and volume moving average will stabilize as more data accumulates.
Indicator
Alpha Signal Engine [MarkitTick]💡 The Alpha Signal Engine is an advanced, multi-dimensional trend-following system designed to provide traders with highly filtered, high-probability market signals. At its core, it dynamically calculates a volatility-adjusted trailing band to determine the primary market direction. However, unlike traditional trend indicators that rely on a single data point, this engine passes every potential trend reversal through a rigorous, six-layer filtering mechanism. By requiring confluence across higher timeframe trends, momentum, volume, volatility regimes, and price action strength, it drastically reduces the noise and false signals inherent in choppy markets. It also features a built-in heads-up dashboard and fully formatted JSON webhook capabilities for automated trading integration.
✨ Originality and Utility
● A Dynamic, Adaptive Baseline
Standard trailing stop or trend indicators, such as the classic Supertrend, typically use a static multiplier against the Average True Range (ATR). The Alpha Signal Engine innovates by introducing a "Dynamic Factor." This factor continuously adapts the band's distance from price by factoring in the current baseline multiplier, the relative volatility (ATR normalized by price), and the immediate price change momentum. This allows the bands to tighten during periods of strong, directional momentum and widen during erratic volatility, providing a more responsive and intelligent trailing mechanism.
● The Six-Pillar Filtering Gateway
The true utility of this indicator lies in its modular filtering engine. Traders often have to clutter their charts with half a dozen indicators to confirm a setup. This script centralizes that logic. Users can selectively enable or disable filters based on their specific asset and trading style, turning the indicator into a customizable algorithmic engine. Whether you need volume confirmation, ADX trend strength, or simple RSI momentum, the script handles the complex boolean logic internally and only outputs a signal when your precise market conditions are met.
🔬 Methodology and Concepts
● Dynamic Factor Calculation
The indicator establishes its baseline trend using an upper and lower band. The distance of these bands from the median price is dictated by a dynamically calculated factor. This factor is the sum of a base value, a volatility component (ATR divided by Close, scaled by a user weight), and a price movement component (percentage change of the close, scaled by a user weight). This raw factor is then smoothed using a Simple Moving Average (SMA) to prevent erratic band shifts.
● Trend Determination
The trend direction flips when the closing price crosses the active dynamic band. If the price closes above the upper band, the trend shifts bullish, and the lower band becomes the active support. Conversely, closing below the lower band shifts the trend bearish, making the upper band the active resistance.
● The Filter Matrix
A signal is only generated when a trend flip aligns with all activated filters:
HTF Alignment: Uses the request context to pull the trend direction from a higher timeframe, ensuring you are not trading against the macro trend.
ADX Trending: Measures the Average Directional Index to ensure the market is in an active trending phase (above a defined threshold) rather than a sideways chop.
Volume Surge: Compares current volume against a Volume SMA. The current bar must exhibit a volume spike greater than the defined multiplier to confirm institutional participation.
RSI Momentum: A simple but effective gatekeeper requiring the Relative Strength Index to be above 50 for longs and below 50 for shorts.
ATR Volatility Regime: Compares the current ATR against a 50-period SMA of the ATR. It ensures the market is operating within a "normal" volatility ratio, preventing entries during extreme, unpredictable volatility spikes or dead, illiquid periods.
Candle Body Strength: Calculates the absolute size of the candle body (Open to Close) and mandates it must be larger than a specific fraction of the ATR, ensuring the signal candle has true directional conviction.
🎨 Visual Guide
● Chart Elements
Up Trend Line: Displayed as a solid, teal-colored line trailing below the price action during a bullish phase. It acts as dynamic support.
Down Trend Line: Displayed as a solid, bright pink/red line trailing above the price action during a bearish phase. It acts as dynamic resistance.
Trend Cloud (Fill): A colored gradient fill exists between the median price and the active trend line. A teal cloud visually represents bullish dominance, while a pink/red cloud represents bearish dominance.
Buy Signals: Indicated by small, teal "B" labels positioned below the signal candle.
Sell Signals: Indicated by small, pink/red "S" labels positioned above the signal candle.
● Filter Dashboard
Located in the top right corner of the chart, this HUD (Heads-Up Display) provides a real-time status check of your system.
The left column lists the available filters (HTF Align, ADX Trend, Vol Surge, RSI Gate, ATR Regime, Body Str).
The right column displays the current status of each filter.
A gray "OFF" indicator means the user has disabled the filter in the settings.
A green "ON" or "Aligned" text indicates the condition is currently met.
A red "Opposed" or unlit indicator means the condition is active but currently failing to meet the required criteria.
The bottom rows clearly state the current overarching trend direction and whether a signal is pending or waiting.
📖 How to Use
• Interpreting the System
To effectively use the Alpha Signal Engine, begin by observing the main trend lines and the color of the cloud. This provides your baseline bias. Do not take trades purely on the band flipping. Instead, rely on the explicit "B" and "S" labels.
• Signal Execution
When a "B" (Buy) or "S" (Sell) label appears, it means the price has successfully flipped the trend AND all user-activated filters in the dashboard are glowing green. This is your entry trigger. The active trend line (the teal line for longs, the pink line for shorts) serves as an ideal, dynamic stop-loss placement.
• Customizing the Engine
The system is designed to be tuned. If you are trading a highly liquid asset like major forex pairs, you may want to enable the ADX and HTF filters to catch long, sustained moves. If you are trading volatile crypto assets, enabling the Volume Surge and Candle Body filters can help you avoid fake-outs and trap wicks. Monitor the on-chart dashboard to see which filters are keeping you out of bad trades and adjust your settings accordingly.
⚙️ Inputs and Settings
• Supertrend Settings
ATR Length: The lookback period for calculating the Average True Range.
Base Factor: The starting multiplier for the dynamic bands.
Volatility & Price Change Weights: Determines how aggressively the bands react to sudden spikes in relative volatility and price momentum.
Factor Smoothing: Applies an SMA to the final dynamic multiplier to keep the bands stable.
• Filter Settings
Enable HTF Alignment: Toggle and define the higher timeframe (e.g., Daily) to align with.
ADX Settings: Toggle the filter, define the lookback length, and set the minimum trend strength threshold (default is 20).
Volume Settings: Toggle the filter, define the Volume MA length, and set the multiplier required to classify as a "surge."
RSI Settings: Toggle the filter and set the RSI lookback length.
ATR Regime Settings: Define the minimum and maximum acceptable ratios of current ATR versus historical ATR.
Candle Body Settings: Define the minimum required size of the candle body as a fraction of the current ATR.
• Webhook Action Names
These text inputs allow you to define specific payload strings (e.g., "long", "closeshort") that the indicator will output via JSON alerts, perfectly formatting the data for third-party automation services like 3Commas or PineConnector.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
The Alpha Signal Engine is grounded in several well-documented tenets of quantitative financial analysis and statistical market theory.
● Volatility-Adjusted Trailing Stops
The foundation of the indicator relies on the Average True Range (ATR), introduced by J. Welles Wilder Jr. The ATR is a measure of the degree of price volatility. By tying the trailing stop (the dynamic band) to the ATR, the system acknowledges the statistical reality of market variance. The innovation here is the dynamic multiplier. By adjusting the distance based on the normalized rate of change (momentum), the script attempts to solve the lagging nature of fixed-multiplier trailing stops, utilizing principles found in adaptive moving averages (like Kaufman's AMA), where sensitivity increases alongside directional conviction.
● Multi-Dimensional Confluence Theory
The filtering engine operates on the academic principle of conditional probability and confluence. In market microstructure, no single indicator holds a permanent statistical edge.
The HTF filter is rooted in Dow Theory, prioritizing the primary trend over secondary reactions.
The ADX filter utilizes Wilder's Directional Movement Index to mathematically separate trending environments from mean-reverting environments, applying a statistical threshold to directional strength.
The Volume Surge filter relies on the Volume Price Trend concepts, positing that significant price movements must be sponsored by outsized volume to validate institutional participation and avoid anomalous low-liquidity spikes.
The ATR Regime filter applies mean-reverting principles to volatility itself (volatility clustering), ensuring that entries are only taken when the variance of the asset is within historically "normal" parameters, avoiding the fat tails of extreme market shocks.
By chaining these disparate mathematical models (trend, momentum, volume, volatility) via Boolean logic, the system mathematically reduces the frequency of trades while theoretically increasing the probability of the remaining sample size.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicator
Donchian Predictive Channel (Zeiierman)█ Overview
Donchian Predictive Channel (Zeiierman) extends the classic Donchian framework into a predictive structure. It does not just track where the range has been; it projects where the Donchian mid, high, and low boundaries are statistically likely to move based on recent directional bias and volatility regime.
By quantifying the linear drift of the Donchian midline and the expansion or compression rate of the Donchian range, the indicator generates a forward propagation cone that reflects the prevailing trend and volatility state. This produces a cleaner, more analytically grounded projection of future price corridors, and it remains fully aligned with the signal precision of the underlying Donchian logic.
█ How It Works
⚪ Donchian Core
The script first computes a standard Donchian Channel over a configurable Length:
Upper Band (dcHi) – highest high over the lookback.
Lower Band (dcLo) – lowest low over the lookback.
Midline (dcMd) – simple midpoint of upper and lower: (dcHi + dcLo)/ 2.
f_getDonchian(length) =>
hi = ta.highest(high, length)
lo = ta.lowest(low, length)
md = (hi + lo) * 0.5
= f_getDonchian(lenDC)
⚪ Slope Estimation & Range Dynamics
To turn the Donchian Channel into a predictive model, the script measures how both the midline and the range are changing over time:
Midline Slope (mSl) – derived from a 1-bar difference in linear regression of the midline.
Range Slope (rSl) – derived from a 1-bar difference in linear regression of the Donchian range (dcHi − dcLo).
This pair describes both directional drift (uptrend vs. downtrend) and range expansion/compression (volatility regime).
f_getSlopes(midLine, rngVal, length) =>
mSl = ta.linreg(midLine, length, 0) - ta.linreg(midLine, length, 1)
rSl = ta.linreg(rngVal, length, 0) - ta.linreg(rngVal, length, 1)
⚪ Forward Projection Engine
At the last bar, the indicator constructs a set of forward points for the mid, upper, and lower projections over Forecast Bars:
The midline is projected linearly using the midline slope per bar.
The range is adjusted using the range slope per bar, creating either a widening cone (expansion) or a tightening cone (compression).
Upper and lower projections are then anchored around the projected midline, with logic that keeps the structure consistent and prevents pathological flips when slope changes sign.
f_generatePoints(hi0, md0, lo0, steps, midSlp, rngSlp) =>
upPts = array.new()
mdPts = array.new()
dnPts = array.new()
fillPts = array.new()
hi_vals = array.new_float()
md_vals = array.new_float()
lo_vals = array.new_float()
curHiLocal = hi0
curLoLocal = lo0
curMidLocal = md0
segBars = math.floor(steps / 3)
segBars := segBars < 1 ? 1 : segBars
for b = 0 to steps
mdProj = md0 + midSlp * b
prevRange = curHiLocal - curLoLocal
rngProj = prevRange + rngSlp * b
hiTemp = 0.0
loTemp = 0.0
if midSlp >= 0
hiTemp := math.max(curHiLocal, mdProj + rngProj * 0.5)
loTemp := math.max(curLoLocal, mdProj - rngProj * 0.5)
else
hiTemp := math.min(curHiLocal, mdProj + rngProj * 0.5)
loTemp := math.min(curLoLocal, mdProj - rngProj * 0.5)
hiProj = hiTemp < mdProj ? curHiLocal : hiTemp
loProj = loTemp > mdProj ? curLoLocal : loTemp
if b % segBars == 0
curHiLocal := hiProj
curLoLocal := loProj
curMidLocal := mdProj
array.push(hi_vals, curHiLocal)
array.push(md_vals, curMidLocal)
array.push(lo_vals, curLoLocal)
array.push(upPts, chart.point.from_index(bar_index + b, curHiLocal))
array.push(mdPts, chart.point.from_index(bar_index + b, curMidLocal))
array.push(dnPts, chart.point.from_index(bar_index + b, curLoLocal))
ptSet.new(upPts, mdPts, dnPts)
⚪ Rejection Signals
The script also tracks failed Donchian breakouts and marks them as potential reversal/reversion cues:
Signal Down: Triggered when price makes an attempt above the upper Donchian band but then pulls back inside and closes above the midline, provided enough bars have passed since the last signal.
Signal Up: Triggered when price makes an attempt below the lower Donchian band but then snaps back inside and closes below the midline, also requiring sufficient spacing from the previous signal.
// Base signal conditions (unfiltered)
bearCond = high < dcHi and high >= dcHi and close > dcMd and bar_index - lastMarker >= lenDC
bullCond = low > dcLo and low <= dcLo and close < dcMd and bar_index - lastMarker >= lenDC
// Apply MA filter if enabled
if signalfilter
bearCond := bearCond and close < ma // Bearish only below MA
bullCond := bullCond and close > ma // Bullish only above MA
signalUp := false
signalDn := false
if bearCond
lastMarker := bar_index
signalDn := true
if bullCond
lastMarker := bar_index
signalUp := true
█ How to Use
The Donchian Predictive Channel is designed to outline possible future price trajectories. Treat it as a directional guide, not a fixed prediction tool.
⚪ Map Future Support & Resistance
Use the projected upper and lower paths as dynamic future reference levels:
Projected upper band ≈ is likely a resistance corridor if the current trend and volatility persist.
Projected lower band ≈ likely support corridor or expected downside range.
⚪ Trend Path & Volatility Cone
Because the projection is driven by midline and range slopes, the channel behaves like a trend + volatility cone:
Steep positive midline slope + expanding range → accelerating, high-volatility trend.
Flat midline + compressing range → coiling/contracting regime ahead of potential expansion.
This helps you distinguish between a gentle drift and an aggressive move that likely needs more risk buffer.
⚪ Reversion & Rejection Signals
The Donchian-based signals are especially useful for mean-reversion and fade-style trades.
A Signal Down near the upper band can mark a failed breakout and a potential rotation back toward the midline or the lower projected band.
A Signal Up near the lower band can flag a failed breakdown and a potential snap-back up the channel.
When Filter Signals is enabled, these signals are only generated when they align with the chart’s directional bias as defined by the moving average. Bullish signals are allowed only when the price is above the MA, and bearish signals only when the price is below it.
This reduces noise and helps ensure that reversions occur in harmony with the prevailing trend environment.
█ Settings
Length – Donchian lookback length. Higher values produce a smoother channel with fewer but more stable signals. Lower values make the channel more reactive and increase sensitivity at the cost of more noise.
Forecast Bars – Number of bars used for projecting the Donchian channel forward.
Higher values create a broader, longer-term projection. Lower values focus on short-horizon price path scenarios.
Filter Signals – Enables directional filtering of Donchian signals using the selected moving average. When ON, bullish signals only trigger when the price is above the MA, and bearish signals only trigger when the price is below it. This helps reduce noise and aligns reversions with the broader trend context.
Moving Average Type – The type of moving average used for signal filtering and optional plotting.
Choose between SMA, EMA, WMA, or HMA depending on desired responsiveness. Faster averages (EMA, HMA) react quickly, while slower ones (SMA, WMA) smooth out short-term noise.
Moving Average Length – Lookback length of the moving average. Higher values create a slower, more stable trend filter. Lower values track price more tightly and can flip the directional bias more frequently.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Indicator
TrendWave Bands [BigBeluga]This is a trend-following indicator that dynamically adapts to market trends using upper and lower bands. It visually highlights trend strength and duration through color intensity while providing additional wave bands for deeper trend analysis.
🔵Key Features:
Adaptive Trend Bands:
➣ Displays a lower band in uptrends and an upper band in downtrends to indicate trend direction.
➣ The bands act as dynamic support and resistance levels, helping traders identify potential entry and exit points.
Wave Bands for Additional Analysis:
➣ A dashed wave band appears opposite the main trend band for deeper trend confirmation.
➣ In an uptrend, the upper dashed wave band helps analyze momentum, while in a downtrend, the lower dashed wave band serves the same purpose.
Gradient Color Intensity:
➣ The trend bands have a color gradient that fades as the trend continues, helping traders visualize trend duration.
➣ The wave bands have an inverse gradient effect—starting with low intensity at the trend's beginning and increasing in intensity as the trend progresses.
Trend Change Signals:
➣ Circular markers appear at trend reversals, providing clear entry and exit points.
➣ These signals mark transitions between bullish and bearish phases based on price action.
🔵Usage:
Trend Following: Use the lower band for confirmation in uptrends and the upper band in downtrends to stay on the right side of the market.
Trend Duration Analysis: Gradient wavebands give an idea of the duration of the current trend — new trends will have high-intensity colored wavebands and as time goes on, trends will fade.
Trend Reversal Detection: Circular markers highlight trend shifts, making it easier to spot entry and exit opportunities.
Volatility Awareness: Volatility-based bands help traders adjust their strategies based on market volatility, ensuring better risk management.
TrendWave Bands is a powerful tool for traders seeking to follow market trends with enhanced visual clarity. By combining trend bands, wave bands, and gradient-based color scaling, it provides a detailed view of market dynamics and trend evolution. Indicator
Indicator
Auto-Length Moving Average + Trend Signals (Zeiierman)█ Overview
The Auto-Length Moving Average + Trend Signals (Zeiierman) is an easy-to-use indicator designed to help traders dynamically adjust their moving average length based on market conditions. This tool adapts in real-time, expanding and contracting the moving average based on trend strength and momentum shifts.
The indicator smooths out price fluctuations by modifying its length while ensuring responsiveness to new trends. In addition to its adaptive length algorithm, it incorporates trend confirmation signals, helping traders identify potential trend reversals and continuations with greater confidence.
This indicator suits scalpers, swing traders, and trend-following investors who want a self-adjusting moving average that adapts to volatility, momentum, and price action dynamics.
█ How It Works
⚪ Dynamic Moving Average Length
The core feature of this indicator is its ability to automatically adjust the length of the moving average based on trend persistence and market conditions:
Expands in strong trends to reduce noise.
Contracts in choppy or reversing markets for faster reaction.
This allows for a more accurate moving average that aligns with current price dynamics.
⚪ Trend Confirmation & Signals
The indicator includes built-in trend detection logic, classifying trends based on market structure. It evaluates trend strength based on consecutive bars and smooths out transitions between bullish, bearish, and neutral conditions.
Uptrend: Price is persistently above the adjusted moving average.
Downtrend: Price remains below the adjusted moving average.
Neutral: Price fluctuates around the moving average, indicating possible consolidation.
⚪ Adaptive Trend Smoothing
A smoothing factor is applied to enhance trend readability while minimizing excessive lag. This balances reactivity with stability, making it easier to follow longer-term trends while avoiding false signals.
█ How to Use
⚪ Trend Identification
Bullish Trend: The indicator confirms an uptrend when the price consistently stays above the dynamically adjusted moving average.
Bearish Trend: A downtrend is recognized when the price remains below the moving average.
⚪ Trade Entry & Exit
Enter long when the dynamic moving average is green and a trend signal occurs. Exit when the price crosses below the dynamic moving average.
Enter short when the dynamic moving average is red and a trend signal occurs. Exit when the price crosses above the dynamic moving average.
█ Slope-Based Reset
This mode resets the trend counter when the moving average slope changes direction.
⚪ Interpretation & Insights
Best for trend-following traders who want to filter out noise and only reset when a clear shift in momentum occurs.
Higher slope length (N): More stable trends, fewer resets.
Lower slope length (N): More reactive to small price swings, frequent resets.
Useful in swing trading to track significant trend reversals.
█ RSI-Based Reset
The counter resets when the Relative Strength Index (RSI) crosses predefined overbought or oversold levels.
⚪ Interpretation & Insights
Best for reversal traders who look for extreme overbought/oversold conditions.
High RSI threshold (e.g., 80/20): Fewer resets, only extreme conditions trigger adjustments.
Lower RSI threshold (e.g., 60/40): More frequent resets, detecting smaller corrections.
Great for detecting exhaustion in trends before potential reversals.
█ Volume-Based Reset
A reset occurs when current volume significantly exceeds its moving average, signaling a shift in market participation.
⚪ Interpretation & Insights
Best for traders who follow institutional activity (high volume often means large players are active).
Higher volume SMA length: More stable trends, only resets on massive volume spikes.
Lower volume SMA length: More reactive to short-term volume shifts.
Useful in identifying breakout conditions and trend acceleration points.
█ Bollinger Band-Based Reset
A reset occurs when price closes above the upper Bollinger Band or below the lower Bollinger Band, signaling potential overextension.
⚪ Interpretation & Insights
Best for traders looking for volatility-based trend shifts.
Higher Bollinger Band multiplier (k = 2.5+): Captures only major price extremes.
Lower Bollinger Band multiplier (k = 1.5): Resets on moderate volatility changes.
Useful for detecting overextensions in strong trends before potential retracements.
█ MACD-Based Reset
A reset occurs when the MACD line crosses the signal line, indicating a momentum shift.
⚪ Interpretation & Insights
Best for momentum traders looking for trend continuation vs. exhaustion signals.
Longer MACD lengths (260, 120, 90): Captures major trend shifts.
Shorter MACD lengths (10, 5, 3): Reacts quickly to momentum changes.
Useful for detecting strong divergences and market shifts.
█ Stochastic-Based Reset
A reset occurs when Stochastic %K crosses overbought or oversold levels.
⚪ Interpretation & Insights
Best for short-term traders looking for fast momentum shifts.
Longer Stochastic length: Filters out false signals.
Shorter Stochastic length: Captures quick intraday shifts.
█ CCI-Based Reset
A reset occurs when the Commodity Channel Index (CCI) crosses predefined overbought or oversold levels. The CCI measures the price deviation from its statistical mean, making it a useful tool for detecting overextensions in price action.
⚪ Interpretation & Insights
Best for cycle traders who aim to identify overextended price deviations in trending or ranging markets.
Higher CCI threshold (e.g., ±200): Detects extreme overbought/oversold conditions before reversals.
Lower CCI threshold (e.g., ±10): More sensitive to trend shifts, useful for early signal detection.
Ideal for detecting momentum shifts before price reverts to its mean or continues trending strongly.
█ Momentum-Based Reset
A reset occurs when Momentum (Rate of Change) crosses zero, indicating a potential shift in price direction.
⚪ Interpretation & Insights
Best for trend-following traders who want to track acceleration vs. deceleration.
Higher momentum length: Captures longer-term shifts.
Lower momentum length: More responsive to short-term trend changes.
█ How to Interpret the Trend Strength Table
The Trend Strength Table provides valuable insights into the current market conditions by tracking how the dynamic moving average is adjusting based on trend persistence. Each metric in the table plays a role in understanding the strength, longevity, and stability of a trend.
⚪ Counter Value
Represents the current length of trend persistence before a reset occurs.
The higher the counter, the longer the current trend has been in place without resetting.
When this value reaches the Counter Break Threshold, the moving average resets and contracts to become more reactive.
Example:
A low counter value (e.g., 10) suggests a recent trend reset, meaning the market might be changing directions frequently.
A high counter value (e.g., 495) means the trend has been ongoing for a long time, indicating strong trend persistence.
⚪ Trend Strength
Measures how strong the current trend is based on the trend confirmation logic.
Higher values indicate stronger trends, while lower values suggest weaker trends or consolidations.
This value is dynamic and updates based on price action.
Example:
Trend Strength of 760 → Indicates a high-confidence trend.
Trend Strength of 50 → Suggests weak price action, possibly a choppy market.
⚪ Highest Trend Score
Tracks the strongest trend score recorded during the session.
Helps traders identify the most dominant trend observed in the timeframe.
This metric is useful for analyzing historical trend strength and comparing it with current conditions.
Example:
Highest Trend Score = 760 → Suggests that at some point, there was a strong trend in play.
If the current trend strength is much lower than this value, it could indicate trend exhaustion.
⚪ Average Trend Score
This is a rolling average of trend strength across the session.
Provides a bigger picture of how the trend strength fluctuates over time.
If the average trend score is high, the market has had persistent trends.
If it's low, the market may have been choppy or sideways.
Example:
Average Trend Score of 147 vs. Current Trend Strength of 760 → Indicates that the current trend is significantly stronger than the historical average, meaning a breakout might be occurring.
Average Trend Score of 700+ → Suggests a strong trending market overall.
█ Settings
⚪ Dynamic MA Controls
Base MA Length – Sets the starting length of the moving average before dynamic adjustments.
Max Dynamic Length – Defines the upper limit for how much the moving average can expand.
Trend Confirmation Length – The number of bars required to validate an uptrend or downtrend.
⚪ Reset & Adaptive Conditions
Reset Condition Type – Choose what triggers the moving average reset (Slope, RSI, Volume, MACD, etc.).
Trend Smoothing Factor – Adjusts how smoothly the moving average responds to price changes.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Indicator
Trend Filter (2-pole) [BigBeluga]Trend Filter (2-pole)
The Trend Filter (2-pole) is an advanced trend-following indicator based on a two-pole filter, which smooths out market noise while effectively highlighting trends and their strength. It incorporates color gradients and support/resistance dots to enhance trend visualization and decision-making for traders.
SP500:
🔵What is a Two-Pole Filter?
A two-pole filter is a digital signal processing technique widely used in electronics, control systems, and time series data analysis to smooth data and reduce noise.
//@function Two-pole filter
//@param src (series float) Source data (e.g., price)
//@param length (float) Length of the filter (higher value means smoother output)
//@param damping (float) Damping factor for the filter
//@returns (series float) Filtered value
method two_pole_filter(float src, int length, float damping) =>
// Calculate filter coefficients
float omega = 2.0 * math.pi / length
float alpha = damping * omega
float beta = math.pow(omega, 2)
// Initialize the filter variables
var float f1 = na
var float f2 = na
// Update the filter
f1 := nz(f1 ) + alpha * (src - nz(f1 ))
f2 := nz(f2 ) + beta * (f1 - nz(f2 ))
f2
It operates using two cascaded smoothing stages (poles), allowing for a more refined and responsive output compared to simple moving averages or other basic filters.
Two-pole filters are particularly valued for their ability to maintain smooth transitions while reducing lag, making them ideal for applications where precision and responsiveness are critical.
In trading, this filter helps detect trends by smoothing price data while preserving significant directional changes.
🔵Key Features of the Indicator:
Gradient-Colored Trend Filter Line: The main filter line dynamically changes color based on trend strength and direction:
- Green: Strong uptrend.
- Red: Strong downtrend.
- Yellow: Indicates a transition phase, signaling potential trend shifts.
Support and Resistance Dots with Signals:
- Dots are plotted below the filter line during uptrends and above it during downtrends.
- These dots represent consecutive rising or falling conditions of the filter line, which traders can set in the settings (e.g., the number of consecutive rises or falls required).
- The dots often act as dynamic support or resistance levels, providing valuable guidance during trends.
- Trend Signals:
Customizable Sensitivity: The indicator allows traders to adjust the filter length, damping factor, and the threshold for rising/falling conditions, enabling it to adapt to different trading styles and timeframes.
Bar Color Option: The indicator can optionally color bars to match the gradient of the filter line, enhancing visual clarity of trends directly on the price chart.
🔵How It Works:
The Trend Filter (2-pole) smooths price data using a two-pole filter, which reduces noise and highlights the underlying trend.
The gradient coloring of the filter line helps traders visually assess the strength and direction of trends.
Rising and falling conditions of the filter line are tracked, and dots are plotted when consecutive conditions meet the threshold, acting as potential support or resistance levels during trends.
The yellow transition color signals periods of indecision, helping traders anticipate potential reversals or consolidations.
🔵Use Cases:
Identify and follow strong uptrends and downtrends with gradient-based visual cues.
Use the yellow transition color to anticipate trend shifts or consolidation zones.
Leverage the plotted dots as dynamic support and resistance levels to refine entry and exit strategies.
Combine with other indicators for confirmation of trends and reversals.
This indicator is perfect for traders who want a visually intuitive and highly customizable tool to spot trends, gauge their strength, and make informed trading decisions. Indicator
Enhanced Reversal DetectionScript Description:
The "Enhanced Reversal Detection" indicator is a powerful tool designed to identify potential market reversals across various financial instruments. It incorporates a sophisticated algorithm that analyzes price action along with key technical indicators such as the Relative Strength Index (RSI), Bollinger Bands, and Moving Average (MA).
How to Use:
Adjustable Parameters: The indicator offers a range of adjustable parameters to cater to different trading preferences and market conditions.
RSI Length: Adjusts the length of the RSI calculation to fine-tune sensitivity.
Overbought Level: Sets the threshold for identifying overbought conditions on the RSI scale.
Oversold Level: Sets the threshold for identifying oversold conditions on the RSI scale.
Bollinger Bands Length: Determines the length of the Bollinger Bands calculation.
Bollinger Bands Multiplier: Adjusts the standard deviation multiplier for the Bollinger Bands, influencing band width.
Moving Average Length: Defines the length of the Moving Average calculation to capture trend direction.
Min Bars Between Signals: Sets the minimum number of bars required between consecutive reversal signals.
ADX Length: Adjusts the length of the Average Directional Index (ADX) calculation.
ADX Threshold: Defines the threshold value for ADX, serving as a filter for reversal signals.
Signal Generation: The indicator generates signals for both bullish and bearish reversals based on predefined criteria. A bullish reversal signal is triggered when the closing price exceeds the lower Bollinger Band and RSI falls below the oversold threshold. Conversely, a bearish reversal signal occurs when the closing price falls below the upper Bollinger Band and RSI surpasses the overbought threshold.
Alerts: Traders can opt to receive alerts for bullish and bearish reversal signals, enabling them to stay informed of potential trading opportunities even when away from the platform.
Publication Readiness:
To ensure readiness for publication in the TradingView public library, the script has been meticulously crafted and documented:
The code is extensively commented to provide clear explanations of parameters, calculations, and signal generation logic.
Best coding practices have been followed to enhance readability and maintainability.
Rigorous testing has been conducted to validate the accuracy and reliability of signal generation across various market conditions.
The script adheres to TradingView's guidelines and policies for script publication, ensuring compliance with platform standards and user expectations.
With its comprehensive features and user-friendly design, the "Enhanced Reversal Detection" indicator is poised to become a valuable asset for traders seeking to identify high-probability reversal opportunities in the financial markets. Indicator
Trend Continuation Signals [AlgoAlpha]Introducing the Trend Continuation Signals by AlgoAlpha 🌟🚀
Elevate your trading game with this multipurpose indicator, designed to pinpoint trend continuation opportunities as well as highlight volatility and oversold/overbought conditions. Whether you're a trading novice or a seasoned market veteran, this tool offers intuitive visual cues to boost your decision-making and enhance your market analysis. Let's explore the key features, how to use it effectively, and delve into the operational mechanics that make this tool a game-changer in your trading arsenal:
Key Features:
🔥 Advanced Trend Detection : Leverages the Hull Moving Average (HMA) for superior trend tracking as compared to other MAs, offering unique insights into market momentum.
🌈 Volatility Bands : Implements adjustable bands around the trend line, which evolve with market conditions to highlight potential trading opportunities.
⚡ Trend Continuation Signals : Identifies bullish and bearish continuation signals, equipping you with actionable signals to exploit the prevailing market trend.
🎨 Intuitive Color Coding : Employs a vibrant color scheme to distinguish between uptrends, downtrends, and neutral phases, facilitating easy interpretation of the indicator's insights.
🛠 How to Use "Trend Continuation Signals ":
🔍 Setting Up : Incorporate the indicator onto your chart and customize the indicator to suite your preferences.
👀 Reading the Signals : Pay attention to the color-coded trend lines and volatility bands. Green indicates an uptrend, red signifies a downtrend, and gray denotes a neutral market condition.
📈 Identifying Entry Points : Look for bullish (▲) and bearish (▼) continuation icons below or above the price bars as signals for potential entry points for long or short positions, respectively.
🔄 Confirmation : Validate your trades with further analysis or other indicators. The Trend Continuation Signals are most effective when complemented by other technical analysis tools or fundamental insights.
📉 Risk Management : Implement stop-loss orders in line with your risk appetite and adjust them based on the volatility bands provided by the indicator to safeguard your investments.
How It Operates:
The essence of the indicator is captured through the hull moving averages for both the primary and secondary lines, set at periods of 93 and 50, respectively, to reflect market trends and pullbacks that trigger the continuation signals every time price recovers from a detected pullback.
Volatility is quantified through the standard deviation of the midline, magnified by a factor, establishing the upper and lower trend band boundaries.
Further volatility bands are plotted around the main volatility band, providing a granular view of market volatility and potential breakout or breakdown zones.
Market trend direction is determined by comparing the HMA line's current position to its previous value, enhanced by the secondary line to identify continuation patterns.
Embrace the power of the Trend Continuation Signals to enhance your trading strategy! It is important to note that all indicators are best used in confluence with other forms of analysis, happy trading! 📊💥 Indicator
Volume SuperTrend AI (Expo)█ Overview
The Volume SuperTrend AI is an advanced technical indicator used to predict trends in price movements by utilizing a combination of traditional SuperTrend calculation and AI techniques, particularly the k-nearest neighbors (KNN) algorithm.
The Volume SuperTrend AI is designed to provide traders with insights into potential market trends, using both volume-weighted moving averages (VWMA) and the k-nearest neighbors (KNN) algorithm. By combining these approaches, the indicator aims to offer more precise predictions of price trends, offering bullish and bearish signals.
█ How It Works
Volume Analysis: By utilizing volume-weighted moving averages (VWMA), the Volume SuperTrend AI emphasizes the importance of trading volume in the trend direction, allowing it to respond more accurately to market dynamics.
Artificial Intelligence Integration - k-Nearest Neighbors (k-NN) Algorithm: The k-NN algorithm is employed to intelligently examine historical data points, measuring distances between current parameters and previous data. The nearest neighbors are utilized to create predictive modeling, thus adapting to intricate market patterns.
█ How to use
Trend Identification
The Volume SuperTrend AI indicator considers not only price movement but also trading volume, introducing an extra dimension to trend analysis. By integrating volume data, the indicator offers a more nuanced and robust understanding of market trends. When trends are supported by high trading volumes, they tend to be more stable and reliable. In practice, a green line displayed beneath the price typically suggests an upward trend, reflecting a bullish market sentiment. Conversely, a red line positioned above the price signals a downward trend, indicative of bearish conditions.
Trend Continuation signals
The AI algorithm is the fundamental component in the coloring of the Volume SuperTrend. This integration serves as a means of predicting the trend while preserving the inherent characteristics of the SuperTrend. By maintaining these essential features, the AI-enhanced Volume SuperTrend allows traders to more accurately identify and capitalize on trend continuation signals.
TrailingStop
The Volume SuperTrend AI indicator serves as a dynamic trailing stop loss, adjusting with both price movement and trading volume. This approach protects profits while allowing the trade room to grow, taking into account volume for a more nuanced response to market changes.
█ Settings
AI Settings:
Neighbors (k):
This setting controls the number of nearest neighbors to consider in the k-Nearest Neighbors (k-NN) algorithm. By adjusting this parameter, you can directly influence the sensitivity of the model to local fluctuations in the data. A lower value of k may lead to predictions that closely follow short-term trends but may be prone to noise. A higher value of k can provide more stable predictions, considering the broader context of market trends, but might lag in responsiveness.
Data (n):
This setting refers to the number of data points to consider in the model. It allows the user to define the size of the dataset that will be analyzed. A larger value of n may provide more comprehensive insights by considering a wider historical context but can increase computational complexity. A smaller value of n focuses on more recent data, possibly providing quicker insights but might overlook longer-term trends.
AI Trend Settings:
Price Trend & Prediction Trend:
These settings allow you to adjust the lengths of the weighted moving averages that are used to calculate both the price trend and the prediction trend. Shorter lengths make the trends more responsive to recent price changes, capturing quick market movements. Longer lengths smooth out the trends, filtering out noise, and highlighting more persistent market directions.
AI Trend Signals:
This toggle option enables or disables the trend signals generated by the AI. Activating this function may assist traders in identifying key trend shifts and opportunities for entry or exit. Disabling it may be preferred when focusing on other aspects of the analysis.
Super Trend Settings:
Length:
This setting determines the length of the SuperTrend, affecting how it reacts to price changes. A shorter length will produce a more sensitive SuperTrend, reacting quickly to price fluctuations. A longer length will create a smoother SuperTrend, reducing false alarms but potentially lagging behind real market changes.
Factor:
This parameter is the multiplier for the Average True Range (ATR) in SuperTrend calculation. By adjusting the factor, you can control the distance of the SuperTrend from the price. A higher factor makes the SuperTrend further from the price, giving more room for price movement but possibly missing shorter-term signals. A lower factor brings the SuperTrend closer to the price, making it more reactive but possibly more prone to false signals.
Moving Average Source:
This setting lets you choose the type of moving average used for the SuperTrend calculation, such as Simple Moving Average (SMA), Exponential Moving Average (EMA), etc.
Different types of moving averages provide various characteristics to the SuperTrend, enabling customization to align with individual trading strategies and market conditions.
-----------------
Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Indicator
